dataviz.bib

@misc{alimSpyingStudentsSchool2017,
  title = {Spying on {{Students}}: School {{Issued}}-{{Devices}} and {{Student Privacy}}},
  author = {Alim, Frida and Cardozo, Nate and Gebhart, Gennie and Gullo, Karen and Kalia, Amul},
  date = {2017-04-13},
  publisher = {{Electronic Frontier Foundation}},
  url = {https://www.eff.org/wp/school-issued-devices-and-student-privacy},
  langid = {english},
  file = {/Users/jdoughe2/Zotero/storage/MC48WNQN/Alim et al. - Spying on Students School Issued-Devices and Stud.pdf}
}

@book{andersonAmericanCensusSocial2015,
  title = {The {{American Census}}: A {{Social History}}, {{Second Edition}}},
  shorttitle = {The {{American Census}}},
  author = {Anderson, Margo J.},
  date = {2015},
  eprint = {NzNOCgAAQBAJ},
  eprinttype = {googlebooks},
  publisher = {{Yale University Press}},
  url = {https://www.google.com/books/edition/The_American_Census/NzNOCgAAQBAJ},
  abstract = {This book is the first social history of the census from its origins to the present and has become the standard history of the population census in the United States. The second edition has been updated to trace census developments since 1980, including the undercount controversies, the arrival of the American Community Survey, and innovations of the digital age. Margo J. Anderson's scholarly text effectively bridges the fields of history and public policy, demonstrating how the census both reflects the country's extraordinary demographic character and constitutes an influential tool for policy making. Her book is essential reading for all those who use census data, historical or current, in their studies or work.},
  isbn = {978-0-300-19542-2},
  langid = {english},
  pagetotal = {343},
  keywords = {History / United States / General,Political Science / Political Process / General,Social Science / Statistics}
}

@online{andrewsHistoryDataViz2017,
  title = {A {{History}} of {{DataViz}}},
  author = {Andrews, RJ},
  date = {2017-01-10T00:11:04+00:00},
  url = {http://infowetrust.com/history/},
  urldate = {2017-02-28},
  abstract = {After examining the history of data visualization greats I have decided to collect my learnings in the style of history’s data visualization~greats. The first~of these visual summaries~is presented…},
  organization = {{Info We Trust}},
  file = {/Users/jdoughe2/Zotero/storage/SFNWIGM3/history.html}
}

@online{angwinMachineBias2016,
  title = {Machine {{Bias}}},
  author = {Angwin, Julia and Larson, Jeff and Mattu, Surya and Kirchner, Lauren},
  date = {2016-05-23},
  url = {https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing?token=pnmZCKup_9SO_Q1DvGQOooKLHsrJG0Fr},
  urldate = {2020-12-07},
  abstract = {There’s software used across the country to predict future criminals. And it’s biased against blacks.},
  langid = {english},
  organization = {{ProPublica}},
  file = {/Users/jdoughe2/Zotero/storage/IBDWYJ6Q/machine-bias-risk-assessments-in-criminal-sentencing.html}
}

@online{bacingerSurveyBestOnline2015,
  title = {Survey of the {{Best Online Mapping Tools}} for {{Web Developers}}: The {{Roadmap}} to {{Roadmaps}}},
  shorttitle = {Survey of the {{Best Online Mapping Tools}} for {{Web Developers}}},
  author = {Bacinger, Tomislav},
  date = {2015},
  url = {https://www.toptal.com/web/the-roadmap-to-roadmaps-a-survey-of-the-best-online-mapping-tools},
  urldate = {2017-01-08},
  abstract = {Think Google Maps is the only online mapping tool in town? Think again. These days, there are a ton of excellent online mapping tools of any flavor for web developers. Toptal engineer Tomislav Bacinger breaks down the options, and gives you all you need to know to pick the best tool for your every mapping need.},
  organization = {{Toptal Engineering Blog}},
  file = {/Users/jdoughe2/Zotero/storage/N3ZFHIDN/the-roadmap-to-roadmaps-a-survey-of-the-best-online-mapping-tools.html}
}

@online{banning-loverHowMakeInfographics2014,
  title = {How to Make Infographics: A Beginner’s Guide to Data Visualisation | {{Global Development Professionals Network}} | {{The Guardian}}},
  author = {Banning-Lover, Rachel},
  date = {2014-08-28},
  url = {http://www.theguardian.com/global-development-professionals-network/2014/aug/28/interactive-infographics-development-data},
  urldate = {2014-12-20},
  organization = {{The Guardian}},
  file = {/Users/jdoughe2/Zotero/storage/W8I3TXNW/interactive-infographics-development-data.html}
}

@report{battLearningTableauData2019,
  type = {SSRN Scholarly Paper},
  title = {Learning {{Tableau}}: A {{Data Visualization Tool}}},
  shorttitle = {Learning {{Tableau}}},
  author = {Batt, Steven and Harmon, Oskar R. and Tomolonis, Paul},
  date = {2019-08-18},
  number = {ID 3438993},
  institution = {{Social Science Research Network}},
  location = {{Rochester, NY}},
  url = {https://doi.org/10.2139/ssrn.3438993},
  urldate = {2020-09-24},
  abstract = {This article describes a tutorial for learning to use Tableau Public, which is free, powerful, and widely used software for data visualization. Data literacy is an important component of undergraduate research projects. This paper introduces an exercise that teaches the fundamental Tableau concepts and commands needed to create charts and graphs, assemble them, and tell a story of patterns observed in data. Our approach is to imbed the instructions and explanations within a Tableau file. In this way the student is reading directions and explanations, and dragging and dropping objects in the same file. From experience, we have found this to be a more intuitive way to learn than having the instructions in an external file, such as “.doc” or “.pdf”. To motivate the exercise, we chose the gender pay gap, and we use data from the Current Population Survey (CPS). The paper has a link to the question file and the answer file for the Tableau exercise.},
  langid = {english},
  keywords = {Data Literacy,Data Visualization,Economic Education},
  annotation = {http://web.archive.org/web/20200924003015/https://papers.ssrn.com/sol3/papers.cfm?abstract\_id=3438993},
  file = {/Users/jdoughe2/Zotero/storage/5AF9BET6/Batt et al. - 2019 - Learning Tableau A Data Visualization Tool.pdf;/Users/jdoughe2/Zotero/storage/IEMXMDMK/papers.html}
}

@article{bensingerGoogleRedrawsBorders2020,
  title = {Google {{Redraws}} the {{Borders}} on {{Maps Depending}} on {{Who}}’s {{Looking}}},
  author = {Bensinger, Greg},
  date = {2020-02-14},
  journaltitle = {Washington Post},
  issn = {0190-8286},
  url = {https://www.washingtonpost.com/technology/2020/02/14/google-maps-political-borders/},
  urldate = {2020-12-08},
  abstract = {How Google, Apple and others are showing a shifting global landscape.},
  entrysubtype = {newspaper},
  langid = {american},
  file = {/Users/jdoughe2/Zotero/storage/9TFWBS2Z/google-maps-political-borders.html}
}

@book{bergstromCallingBullshitArt2020,
  title = {Calling {{Bullshit}}: The {{Art}} of {{Skepticism}} in a {{Data}}-{{Driven World}}},
  shorttitle = {Calling {{Bullshit}}},
  author = {Bergstrom, Carl T. and West, Jevin D.},
  date = {2020-08-04},
  eprint = {Plu9DwAAQBAJ},
  eprinttype = {googlebooks},
  publisher = {{Random House}},
  url = {https://www.google.com/books/edition/Calling_Bullshit/Plu9DwAAQBAJ},
  abstract = {Bullshit~isn’t~what it used to be.~Now, two science professors give us the tools to dismantle misinformation and think clearly in a~world of fake news and bad data.~ Misinformation, disinformation, and fake news abound and it’s increasingly difficult to know what’s true. Our media environment has become hyperpartisan. Science is conducted by press release. Startup culture elevates bullshit to high art. We are fairly well equipped to spot the sort of old-school bullshit that is based in fancy rhetoric and weasel words, but most of us don’t feel qualified to challenge the avalanche of new-school bullshit presented in the language of math, science, or statistics. In~Calling Bullshit,~Professors Carl Bergstrom and Jevin West give us a set of powerful tools to cut through the most intimidating data. You don’t need a lot of technical expertise to call out problems with data. Are the numbers or results too good or too dramatic to be true? Is the claim comparing like with like? Is it confirming your personal bias? Drawing on a deep well of expertise in statistics and computational biology, Bergstrom and West exuberantly unpack examples of selection bias and muddled data visualization, distinguish between correlation and causation, and examine the susceptibility of science to modern bullshit. We have always needed people who call bullshit when necessary, whether within a circle of friends, a community of scholars, or the citizenry of a nation. Now that bullshit has evolved, we need to relearn the art of skepticism.},
  isbn = {978-0-525-50919-6},
  langid = {english},
  pagetotal = {337},
  keywords = {Language Arts & Disciplines / Linguistics / Sociolinguistics,Political Science / Corruption & Misconduct,Psychology / Applied Psychology}
}

@book{bestDamnedLiesStatistics2012,
  title = {Damned {{Lies}} and {{Statistics}}: Untangling {{Numbers}} from the {{Media}}, {{Politicians}}, and {{Activists}}},
  shorttitle = {Damned {{Lies}} and {{Statistics}}},
  author = {Best, Joel},
  date = {2012-07-08},
  edition = {Updated},
  publisher = {{University of California Press}},
  url = {http://books.google.com/books?isbn=0520953517},
  abstract = {Here, by popular demand, is the updated edition to Joel Best's classic guide to understanding how numbers can confuse us. In his new afterword, Best uses examples from recent policy debates to reflect on the challenges to improving statistical literacy. Since its publication ten years ago, Damned Lies and Statistics has emerged as the go-to handbook for spotting bad statistics and learning to think critically about these influential numbers.},
  isbn = {978-0-520-95351-2},
  langid = {english},
  pagetotal = {219},
  keywords = {Social Science / Popular Culture}
}

@article{bestLiesCalculationsConstructions2005,
  title = {Lies, {{Calculations}} and {{Constructions}}: Beyond "{{How}} to {{Lie}} with {{Statistics}}"},
  shorttitle = {Lies, {{Calculations}} and {{Constructions}}},
  author = {Best, Joel},
  date = {2005-08-01},
  journaltitle = {Statistical Science},
  shortjournal = {Statistical Science},
  volume = {20},
  number = {3},
  eprint = {20061175},
  eprinttype = {jstor},
  pages = {210--214},
  issn = {0883-4237},
  abstract = {Darrell Huff's "How to Lie with Statistics" remains the best-known, nontechnical call for critical thinking about statistics. However, drawing a distinction between statistics and lying ignores the process by which statistics are socially constructed. For instance, bad statistics often are disseminated by sincere, albeit innumerate advocates (e.g., inflated estimates for the number of anorexia deaths) or through research findings selectively highlighted to attract media coverage (e.g., a recent study on the extent of bullying). Further, the spread of computers has made the production and dissemination of dubious statistics easier. While critics may agree on the desirability of increasing statistical literacy, it is unclear who might accept this responsibility.},
  annotation = {ArticleType: research-article / Full publication date: Aug., 2005 / Copyright © 2005 Institute of Mathematical Statistics},
  file = {/Users/jdoughe2/Zotero/storage/TB5XMUR8/Best - 2005 - Lies, Calculations and Constructions Beyond How .pdf}
}

@book{bestMoreDamnedLies2004,
  title = {More {{Damned Lies}} and {{Statistics}}: How {{Numbers Confuse Public Issues}}},
  author = {Best, Joel},
  date = {2004},
  publisher = {{University of California Press}},
  location = {{Berkeley, CA}},
  url = {https://www.google.com/books/edition/More_Damned_Lies_and_Statistics/SWBr7D6VavoC},
  abstract = {scan of chapter 2, "Confusing Numbers" on table construction and percentages},
  keywords = {CSS},
  file = {/Users/jdoughe2/Zotero/storage/SS2TJM8R/Best 2004.pdf;/Users/jdoughe2/Zotero/storage/WIA7APVK/table-direction-JoelBestExcerpt.png}
}

@online{bostock10YearsOpenSource2021,
  title = {10 {{Years}} of {{Open}}-{{Source Visualization}}},
  author = {Bostock, Mike},
  date = {2021-02-23T17:12:24},
  url = {https://observablehq.com/@mbostock/10-years-of-open-source-visualization},
  urldate = {2021-02-24},
  abstract = {Did I learn anything from D3.js? Let’s see… In honor of D3 1.0’s tin anniversary, I thought I’d reflect on lessons learned. This isn’t intended to be too comprehensive or serious — just a handful of observations as I look ahead to the next ten years. But I hope a nugget or two will interest you, too. 1. Teaching is the most impactful aspect of tool building. When building a tool, it’s easy to forget how much you’ve internalized: how much knowledge and context you’ve assumed. Your tool can feel familiar or},
  langid = {english},
  organization = {{Observable}},
  file = {/Users/jdoughe2/Zotero/storage/ERQ3S4HF/10-years-of-open-source-visualization.html}
}

@book{brewerDesigningBetterMaps2016,
  title = {Designing {{Better Maps}}: A {{Guide}} for {{GIS Users}}},
  shorttitle = {Designing {{Better Maps}}},
  author = {Brewer, Cynthia A.},
  date = {2016},
  eprint = {gFErrgEACAAJ},
  eprinttype = {googlebooks},
  publisher = {{Esri Press}},
  url = {https://www.google.com/books/edition/Designing_Better_Maps/gFErrgEACAAJ},
  abstract = {Designing Better Maps: A Guide for GIS Users, second edition, is a comprehensive guide to creating maps that communicate effectively. In Designing Better Maps, renowned cartographer Cynthia A. Brewer guides readers through the basics of good cartography, including layout design, scales, projections, color selection, font choices, and symbol placement. Designing Better Maps also describes the author's ColorBrewer application, an online color selection tool. The second edition includes a new chapter on map publishing.},
  isbn = {978-1-58948-440-5},
  langid = {english},
  pagetotal = {231},
  keywords = {Technology & Engineering / Cartography,Technology & Engineering / Remote Sensing & Geographic Information Systems}
}

@online{busemeyerPerPupilSpendingConnecticut2015,
  title = {In {{Per}}-{{Pupil Spending}}, {{Connecticut Ranks High}}},
  author = {Busemeyer, Stephen},
  date = {2015-06-02},
  url = {http://www.courant.com/data-desk/hc-in-perpupil-spending-connecticut-ranks-high-20150602-htmlstory.html},
  urldate = {2015-08-17},
  abstract = {Census data on FY2013 spending on instruction per pupil ranks Connecticut at \$10,285 per pupil (behind only NYS and DC), with average \$6,480. Tableau map drop-down menu shows total expenditures per pupil at \$16,631 per pupil in CT. DataViz direct link http://public.tableau.com/profile/stephenbus\#!/vizhome/SchoolFinancingCensus/AllStates},
  organization = {{Hartford Courant}},
  file = {/Users/jdoughe2/Zotero/storage/M4T36XUF/AllStates.html}
}

@online{busemeyerSurveyPovertyEffects2016,
  title = {Survey: Poverty's {{Effects In Connecticut Are Far}}-{{Reaching}}},
  shorttitle = {Survey},
  author = {Busemeyer, Stephen},
  date = {2016-03-27},
  url = {http://www.courant.com/data-desk/hc-survey-wellbeing-changes-with-income-education-race-20160304-htmlstory.html},
  urldate = {2016-03-27},
  abstract = {DataHaven Community Well Being survey responses in a data visualization The effects of poverty are profound and far-reaching, weighing on people\’s overall happiness and rendering life less satisfying for people across lines of race and geography in Connecticut, according to a sweeping survey of thousands of residents last year. The results of the \“WellBeing Survey,\”...},
  organization = {{courant.com}},
  file = {/Users/jdoughe2/Zotero/storage/KD3F3F5V/hc-survey-wellbeing-changes-with-income-education-race-20160304-htmlstory.html}
}

@book{cairoFunctionalArtIntroduction2012,
  title = {The {{Functional Art}}: An Introduction to Information Graphics and Visualization},
  shorttitle = {The {{Functional Art}}},
  author = {Cairo, Alberto},
  date = {2012-08-22},
  publisher = {{New Riders}},
  url = {http://books.google.com/books?isbn=0133041360},
  abstract = {Unlike any time before in our lives, we have access to vast amounts of free information. With the right tools, we can start to make sense of all this data to see patterns and trends that would otherwise be invisible to us. By transforming numbers into graphical shapes, we allow readers to understand the stories those numbers hide. In this practical introduction to understanding and using information graphics, you’ll learn how to use data visualizations as tools to see beyond lists of numbers and variables and achieve new insights into the complex world around us. Regardless of the kind of data you’re working with–business, science, politics, sports, or even your own personal finances–this book will show you how to use statistical charts, maps, and explanation diagrams to spot the stories in the data and learn new things from it.   You’ll also get to peek into the creative process of some of the world’s most talented designers and visual journalists, including Condé Nast Traveler’s John Grimwade, National Geographic Magazine’s Fernando Baptista, The New York Times’ Steve Duenes, The Washington Post’s Hannah Fairfield, Hans Rosling of the Gapminder Foundation, Stanford’s Geoff McGhee, and European superstars Moritz Stefaner, Jan Willem Tulp, Stefanie Posavec, and Gregor Aisch. The book also includes a DVD-ROM containing over 90 minutes of video lessons that expand on core concepts explained within the book and includes even more inspirational information graphics from the world’s leading designers.  The first book to offer a broad, hands-on introduction to information graphics and visualization, The Functional Art reveals:  • Why data visualization should be thought of as “functional art” rather than fine art • How to use color, type, and other graphic tools to make your information graphics more effective, not just better looking  • The science of how our brains perceive and remember information ¿ • Best practices for creating interactive information graphics • A comprehensive look at the creative process behind successful information graphics ¿ • An extensive gallery of inspirational work from the world’s top designers and visual artists  On the DVD-ROM: In this introductory video course on information graphics, Alberto Cairo goes into greater detail with even more visual examples of how to create effective information graphics that function as practical tools for aiding perception. You’ll learn how to: incorporate basic design principles in your visualizations, create simple interfaces for interactive graphics, and choose the appropriate type of graphic forms for your data. Cairo also deconstructs successful information graphics from The New York Times and National Geographic magazine with sketches and images not shown in the book.All of Peachpit's eBooks contain the same content as the print edition. You will find a link in the last few pages of your eBook that directs you to the media files.  Helpful tips: If you are able to search the book, search for "Where are the lesson files?"  Go to the very last page of the book and scroll backwards. You will need a web-enabled device or computer in order to access the media files that accompany this ebook. Entering the URL supplied into a computer with web access will allow you to get to the files. Depending on your device, it is possible that your display settings will cut off part of the URL. To make sure this is not the case, try reducing your font size and turning your device to a landscape view. This should cause the full URL to appear.},
  isbn = {978-0-13-304136-1},
  langid = {english},
  pagetotal = {401},
  keywords = {Computers / Desktop Applications / Desktop Publishing}
}

@book{cairoHowChartsLie2019,
  title = {How {{Charts Lie}}: Getting {{Smarter}} about {{Visual Information}}},
  shorttitle = {How {{Charts Lie}}},
  author = {Cairo, Alberto},
  date = {2019-10-15},
  eprint = {qP2KDwAAQBAJ},
  eprinttype = {googlebooks},
  publisher = {{W. W. Norton \& Company}},
  url = {https://www.google.com/books/edition/How_Charts_Lie_Getting_Smarter_about_Vis/qP2KDwAAQBAJ},
  abstract = {A leading data visualization expert explores the negative—and positive—influences that charts have on our perception of truth. We’ve all heard that a picture is worth a thousand words, but what if we don’t understand what we’re looking at? Social media has made charts, infographics, and diagrams ubiquitous—and easier to share than ever. We associate charts with science and reason; the flashy visuals are both appealing and persuasive. Pie charts, maps, bar and line graphs, and scatter plots (to name a few) can better inform us, revealing patterns and trends hidden behind the numbers we encounter in our lives. In short, good charts make us smarter—if we know how to read them. However, they can also lead us astray. Charts lie in a variety of ways—displaying incomplete or inaccurate data, suggesting misleading patterns, and concealing uncertainty—or are frequently misunderstood, such as the confusing cone of uncertainty maps shown on TV every hurricane season. To make matters worse, many of us are ill-equipped to interpret the visuals that politicians, journalists, advertisers, and even our employers present each day, enabling bad actors to easily manipulate them to promote their own agendas. In How Charts Lie, data visualization expert Alberto Cairo teaches us to not only spot the lies in deceptive visuals, but also to take advantage of good ones to understand complex stories. Public conversations are increasingly propelled by numbers, and to make sense of them we must be able to decode and use visual information. By examining contemporary examples ranging from election-result infographics to global GDP maps and box-office record charts, How Charts Lie demystifies an essential new literacy, one that will make us better equipped to navigate our data-driven world.},
  isbn = {978-1-324-00157-7},
  langid = {english},
  pagetotal = {262},
  keywords = {Business & Economics / Statistics,Mathematics / Probability & Statistics / General,Reference / Personal & Practical Guides,Social Science / Media Studies}
}

@book{cairoTruthfulArtData2016,
  title = {The {{Truthful Art}}: Data, {{Charts}}, and {{Maps}} for {{Communication}}},
  shorttitle = {The {{Truthful Art}}},
  author = {Cairo, Alberto},
  date = {2016-02-08},
  eprint = {8dKKCwAAQBAJ},
  eprinttype = {googlebooks},
  publisher = {{Pearson Education}},
  url = {https://www.google.com/books/edition/The_Truthful_Art/8dKKCwAAQBAJ},
  abstract = {No matter what your actual job title, you are—or soon will be—a data worker.     Every day, at work, home, and school, we are bombarded with vast amounts of free data collected and shared by everyone and everything from our co-workers to our calorie counters. In this highly anticipated follow-up to The Functional Art—Alberto Cairo’s foundational guide to understanding information graphics and visualization—the respected data visualization professor explains in clear terms how to work with data, discover the stories hidden within, and share those stories with the world in the form of charts, maps, and infographics. In The Truthful Art, Cairo transforms elementary principles of data and scientific reasoning into tools that you can use in daily life to interpret data sets and extract stories from them.     The Truthful Art explains:   • The role infographics and data visualization play in our world • Basic principles of data and scientific reasoning that anyone can master • How to become a better critical thinker • Step-by-step processes that will help you evaluate any data visualization (including your own) • How to create and use effective charts, graphs, and data maps to explain data to any audience    The Truthful Art is also packed with inspirational and educational real-world examples of data visualizations from such leading publications as The New York Times, The Wall Street Journal, Estado de São Paulo (Brazil), Berliner Morgenpost (Germany), and many more.},
  isbn = {978-0-13-344053-9},
  langid = {english},
  pagetotal = {523},
  keywords = {Computers / Computer Graphics,Computers / Desktop Applications / Desktop Publishing}
}

@online{CambridgeOnlineSurvey,
  title = {The {{Cambridge Online Survey}} of {{World Englishes}}},
  url = {http://www.tekstlab.uio.no/cambridge_survey/},
  urldate = {2013-12-22},
  abstract = {compare data viz with NYT dialect quiz results},
  file = {/Users/jdoughe2/Zotero/storage/2GV5V7MB/cambridge_survey.html}
}

@online{changConnecticutPlansLaunch2014,
  title = {Connecticut Plans to Launch Open Data Portal},
  author = {Chang, Alvin},
  date = {2014-01-13},
  url = {http://ctmirror.org/connecticut-plans-launch-open-data-portal/},
  urldate = {2014-01-13},
  abstract = {Connecticut to launch open data portal},
  organization = {{CT Mirror}},
  keywords = {Ben Barnes,civic hacking community,Community indicators project,comptroller,Connecticut,Criminal Justice Information System,Hartford Foundation for Public Giving,Kevin Lembo,New Haven,OPM,Scott Gaul,Zack Beatty},
  file = {/Users/jdoughe2/Zotero/storage/48EFAJAQ/connecticut-plans-launch-open-data-portal.html}
}

@online{changHowTaxBrackets2019,
  title = {How Tax Brackets Actually Work},
  author = {Chang, Alvin},
  date = {2019-01-18T09:10:00-05:00},
  url = {https://www.vox.com/2019/1/18/18187056/tax-bracket-marginal-video},
  urldate = {2019-01-20},
  abstract = {Show this video to politicians who say Democrats want to take away 70 percent of your income.},
  organization = {{Vox}},
  file = {/Users/jdoughe2/Zotero/storage/KTMUBCFZ/tax-bracket-marginal-video.html}
}

@online{changLivingPoorNeighborhood2016,
  title = {Living in a Poor Neighborhood Changes Everything about Your Life},
  author = {Chang, Alvin},
  date = {2016-06-06T12:40:03Z},
  url = {http://www.vox.com/2016/6/6/11852640/cartoon-poor-neighborhoods},
  urldate = {2016-07-18},
  abstract = {How racism created two, divergent American neighborhoods with examples from Heather Schwartz, Patrick Sharkey, Erin Boggs},
  organization = {{Vox}},
  file = {/Users/jdoughe2/Zotero/storage/P7M4GJWX/cartoon-poor-neighborhoods.html}
}

@online{changManyKillingsCT2013,
  title = {Many Killings in {{CT}} since {{Newtown}}, but Little Reliable Data},
  author = {Chang, Alvin},
  date = {2013-12-09},
  url = {http://www.ctmirror.org/many-killings-ct-newtown-little-reliable-data},
  urldate = {2013-12-13},
  abstract = {The lack of accurate, up-to-the-minute gun-violence data is a problem for policy makers both nationally and in Connecticut — and it's a problem that is not easy to fix.},
  organization = {{CT Mirror}},
  keywords = {Centers for Disease Control and Prevention gun deaths,Chris Kirk,Connecticut,Connecticut gun data,gun data Newtown,gun data Sandy Hook,gun deaths since Newtown,gun deaths since Sandy Hook,gun violence,Michael Lawlor,Newtown,Slate},
  file = {/Users/jdoughe2/Zotero/storage/QQMW5XRT/many-killings-ct-newtown-little-reliable-data.html}
}

@online{changOpenDataPortal2013,
  title = {Q\&{{A}}: Open Data Portal},
  shorttitle = {Q\&{{A}}},
  author = {Chang, Alvin},
  date = {2013-01-27},
  url = {http://ctmirror.org/qa-open-data-portal/},
  urldate = {2014-01-28},
  abstract = {Connecticut plans to launch its open data portal in about a month. Several residents, from data scientists to elected representatives, have different perspectives on what the portal means. So we reached out to a few of them. Mark Abraham Roland Lemar Scott Gaul Sheryl Horowitz Zack Beatty},
  organization = {{The CT Mirror}},
  file = {/Users/jdoughe2/Zotero/storage/9H373723/qa-open-data-portal.html}
}

@online{changThisCartoonExplains2016,
  title = {This Cartoon Explains How the Rich Got Rich and the Poor Got Poor},
  author = {Chang, Alvin},
  date = {2016-05-23T13:40:02Z},
  url = {http://www.vox.com/2016/5/23/11704246/wealth-inequality-cartoon},
  urldate = {2016-07-18},
  abstract = {It's grounded in 50 years of reality.},
  organization = {{Vox}},
  file = {/Users/jdoughe2/Zotero/storage/7Q9QS3FW/wealth-inequality-cartoon.html}
}

@online{changYourSchool2015,
  title = {Your {{School}}},
  author = {Chang, Alvin},
  date = {2015-02-27},
  url = {http://projects.ctmirror.org/yourschool/index.php},
  urldate = {2015-02-27},
  abstract = {There are hundreds of data points that describe your public schools, released by the State Department of Education. But accessing and interpreting them can be difficult. So that's why we created Your School. Search for your school and see how it's doing on everything from teacher salary to physical fitness, and how it compares with other schools.},
  organization = {{CT Mirror}},
  file = {/Users/jdoughe2/Zotero/storage/Q33XUGJU/index.html}
}

@report{chuangHarvardXMITxFour2016,
  type = {SSRN Scholarly Paper},
  title = {{{HarvardX}} and {{MITx}}: Four {{Years}} of {{Open Online Courses}} -- {{Fall}} 2012-{{Summer}} 2016},
  shorttitle = {{{HarvardX}} and {{MITx}}},
  author = {Chuang, Isaac and Ho, Andrew Dean},
  date = {2016-12-23},
  number = {ID 2889436},
  institution = {{Social Science Research Network}},
  location = {{Rochester, NY}},
  url = {https://papers.ssrn.com/abstract=2889436},
  urldate = {2017-01-31},
  abstract = {In 2014 and 2015, a joint research team from Harvard University and MIT released summary reports describing the first two years of Harvard and MIT open online courses launched on the nonprofit learning platform, edX. These reports set expectations for the demographics and behavior of course participants and established an analytic framework for understanding the then-nascent online learning context known as the Massive Open Online Course (MOOC).This “Year 4 Report” extends these earlier findings to four complete years of HarvardX and MITx courses on edX, resulting in one of the largest surveys of MOOCs to date: 290 courses, 245 thousand certificates, 4.5 million participants, 28 million participant-hours, and 2.3 billion events logged online. We present our findings in a series of nine exhibits that address questions about the evolution of the MOOC movement from its birth in 2012, through its current adolescence.},
  keywords = {distance education,EdX,HarvardX,Higher education,massive open online course,MITx,MOOC,online learning,residential learning},
  file = {/Users/jdoughe2/Zotero/storage/3A9MVNRM/SSRN-id2889436.pdf;/Users/jdoughe2/Zotero/storage/RA2QDGWK/papers.html}
}

@online{clarkeMapsManiaCreating2016,
  title = {Maps {{Mania}}: Creating {{Story Maps}} with {{Leaflet}}},
  shorttitle = {Maps {{Mania}}},
  author = {Clarke, Keir},
  date = {2016-08-08},
  url = {http://googlemapsmania.blogspot.com/2016/08/creating-story-maps-with-leaflet.html},
  urldate = {2016-08-08},
  abstract = {jack dougherty leaflet storymap},
  organization = {{Maps Mania}},
  file = {/Users/jdoughe2/Zotero/storage/7CTGPA38/creating-story-maps-with-leaflet.html}
}

@online{clarkeMapsManiaGoodbye2016,
  title = {Maps {{Mania}}: Goodbye to the {{Middle Class}}},
  shorttitle = {Maps {{Mania}}},
  author = {Clarke, Keir},
  date = {2016-08-09},
  url = {http://googlemapsmania.blogspot.com/2016/08/goodbye-to-middle-class.html},
  urldate = {2016-08-10},
  abstract = {WSJ uses 3d choropleth maps to visualize the dominant income groups living in city neighborhoods in 1970, 1990 and 2014. By toggling through the dates on each of the city maps you can clearly see how the middle income neighborhoods (\$50,001 - \$70,000) have dwindled in number in each of the three cities.},
  organization = {{Maps Mania}},
  keywords = {economics,USA},
  file = {/Users/jdoughe2/Zotero/storage/AGIJU3GH/goodbye-to-middle-class.html}
}

@article{clevelandShapeParameterTwoVariable1988,
  title = {The {{Shape Parameter}} of a {{Two}}-{{Variable Graph}}},
  author = {Cleveland, William S. and McGill, Marylyn E. and McGill, Robert},
  date = {1988},
  journaltitle = {Journal of the American Statistical Association},
  volume = {83},
  number = {402},
  eprint = {2288843},
  eprinttype = {jstor},
  pages = {289--300},
  publisher = {{[American Statistical Association, Taylor \& Francis, Ltd.]}},
  issn = {0162-1459},
  doi = {10.2307/2288843},
  abstract = {The shape parameter of a two-variable graph is the ratio of the horizontal and vertical distances spanned by the data. For at least 70 years this parameter has received much attention in writings on data display, because it is a critical factor on two-variable graphs that show how one variable depends on the other. But despite the attention, there has been little systematic study. In this article the shape parameter and its effect on the visual decoding of slope information are studied through historical, empirical, theoretical, and experimental investigations. These investigations lead to a method for choosing the shape that maximizes the accuracy of slope judgments.}
}

@online{cookHowWeHelped2019,
  title = {How {{We Helped Our Reporters Learn}} to {{Love Spreadsheets}}},
  author = {Cook, Lindsey Rogers},
  date = {2019-10-29T17:45:52},
  url = {https://open.nytimes.com/how-we-helped-our-reporters-learn-to-love-spreadsheets-adc43a93b919},
  urldate = {2020-09-10},
  abstract = {And how your reporters can learn to love spreadsheets, too Link to open curric materials on GDrive https://drive.google.com/drive/u/0/folders/1ZS57\_40tWuIB7tV4APVMmTZ-5PXDwX9w},
  langid = {english},
  organization = {{Medium}},
  file = {/Users/jdoughe2/Zotero/storage/PUK7HM9Q/how-we-helped-our-reporters-learn-to-love-spreadsheets-adc43a93b919.html}
}

@misc{cowanAssessmentNeedOpportunities2014,
  title = {Assessment of {{Need}} and {{Opportunities}} for {{Data Intermediary Services}} in {{Hartford}}, {{Community Indicators Project}}, {{Hartford Foundation}} for {{Public Giving}}},
  author = {Cowan, Jake},
  date = {2014-11},
  abstract = {The following recommendations include a high level of summary of themes, opportunities and actions related to creating and maintaining data intermediary services in the Capitol Region.},
  file = {/Users/jdoughe2/Zotero/storage/54US78NF/HartfordDataEcosystemAssessment_ExeSummary.pdf;/Users/jdoughe2/Zotero/storage/TXFV4X38/FinalReport_HartfordDataEcosystemAssessment.pdf}
}

@online{darby-hudgensVIZNEWSData2014,
  title = {{{VIZ NEWS}}: Data {{Visualizations}} –},
  shorttitle = {{{VIZ NEWS}}},
  author = {Darby-Hudgens, Fionnuala},
  date = {2014-09-15},
  url = {http://oic.farnamllc.com/viz-news-data-visualizations/},
  urldate = {2014-09-15},
  organization = {{Open Indicators Consortium}},
  file = {/Users/jdoughe2/Zotero/storage/W58WJNDU/viz-news-data-visualizations.html}
}

@online{delatorreGroupLaunchesSmarter2015,
  title = {Group {{Launches}} '{{Smarter}}' {{Website On Hartford Schools}}},
  author = {De La Torre, Vanessa},
  date = {2015-01-29},
  url = {http://www.courant.com/community/hartford/hartford-cityline/hc-smarter-hartford-schools-0130-20150129-story.html},
  urldate = {2015-02-04},
  abstract = {HARTFORD \— Researching schools before the lotteries? The Achieve Hartford! reform advocacy group has launched a new data-driven website with detailed performance profiles of city schools. SmarterHartford.org},
  organization = {{courant.com}},
  file = {/Users/jdoughe2/Zotero/storage/7M4R5H8Q/hc-smarter-hartford-schools-0130-20150129-story.html}
}

@online{dengMapConnectionsHousing2014,
  title = {Map {{Connections Among Housing}}, {{Transit}} and {{Population Change}}},
  author = {Deng, Diana},
  date = {2014-08-14},
  url = {http://pschousing.org/news/new-partnership-map-allows-users-explore-connections-among-housing-transit-and-population},
  urldate = {2014-10-13},
  organization = {{Partnership for Strong Communities}},
  file = {/Users/jdoughe2/Zotero/storage/6C83WHWW/new-partnership-map-allows-users-explore-connections-among-housing-transit-and-population.html}
}

@book{dignazioDataFeminism2020,
  title = {Data {{Feminism}}},
  author = {D'Ignazio, Catherine and Klein, Lauren F.},
  date = {2020},
  publisher = {{MIT Press}},
  url = {https://data-feminism.mitpress.mit.edu/},
  abstract = {"We have seen through many examples that data science and artificial intelligence can reinforce structural inequalities like sexism and racism. Data is power, and that power is distributed unequally. This book offers a vision for a feminist data science that can challenge power and work towards justice. This book takes a stand against a world that benefits some (including the authors, two white women) at the expense of others. It seeks to provide concrete steps for data scientists seeking to learn how feminism can help them work towards justice, and for feminists seeking to learn how their own work can carry over to the growing field of data science. It is addressed to professionals in all fields where data-driven decisions are being made, as well as to communities that want to better understand the data that surrounds them. It is written for everyone who seeks to better understand the charts and statistics that they encounter in their day-to-day lives, and for everyone who seeks to better communicate the significance of such charts and statistics to others. This is an example-driven book written with a broad audience of scholars, students, and practitioners in mind. It offers a way of thinking about data, both their uses and their limits, that is informed by direct experience, by a commitment to action, and by the ideas associated with intersectional feminist thought"--},
  isbn = {978-0-262-04400-4},
  langid = {english},
  annotation = {OCLC: 1119470058}
}

@incollection{doughertyConclusionsWhatWe2013,
  title = {Conclusions: What {{We Learned}} from {{Writing History}} in the {{Digital Age}}},
  booktitle = {Writing {{History}} in the {{Digital Age}}},
  author = {Dougherty, Jack and Nawrotzki, Kristen and Rochez, Charlotte and Burke, Timothy},
  date = {2013},
  pages = {259--278},
  publisher = {{University of Michigan Press}},
  url = {https://muse.jhu.edu/chapter/1030727},
  urldate = {2021-02-11},
  langid = {english},
  file = {/Users/jdoughe2/Zotero/storage/NF828CJG/1030727.html}
}

@online{doughertyCTMirrorGets2014a,
  title = {{{CT Mirror}} Gets It Right — Then Wrong — with {{Trinity}} Students’ {{Sheff}} Data Visualizations},
  author = {Dougherty, Jack},
  date = {2014-01-21},
  url = {http://ctmirror.org/ct-mirror-gets-it-right-then-wrong-with-trinity-students-sheff-data-visualizations/},
  urldate = {2014-01-23},
  abstract = {Students in the Cities, Suburbs \& Schools seminar at Trinity College and I had the privilege of designing online data visualizations with CT Mirror journalists Jacqueline Rabe Thomas and Alvin Chang, which they recently published in their January 15, 2014 story,},
  organization = {{The CT Mirror}},
  file = {/Users/jdoughe2/Zotero/storage/2B6Z7JM7/ct-mirror-gets-it-right-then-wrong-with-trinity-students-sheff-data-visualizations.html}
}

@online{doughertyHowCreateThematic2013,
  title = {How to Create Thematic Data Maps with {{Google Fusion Tables}}},
  author = {Dougherty, Jack},
  date = {2013-09-06},
  url = {http://commons.trincoll.edu/jackdougherty/how-to/gft-thematic-maps/},
  urldate = {2013-10-22},
  langid = {english},
  file = {/Users/jdoughe2/Zotero/storage/VW2J3EBF/gft-thematic-maps.html}
}

@article{doughertySchoolChoiceSuburbia2009,
  title = {School {{Choice}} in {{Suburbia}}: Test {{Scores}}, {{Race}}, and {{Housing Markets}}},
  author = {Dougherty, Jack and Harrelson, Jeffrey and Maloney, Laura and Murphy, Drew and Smith, Russell and Snow, Michael and Zannoni, Diane},
  date = {2009-08},
  journaltitle = {American Journal of Education},
  volume = {115},
  number = {4},
  pages = {523--548},
  url = {http://digitalrepository.trincoll.edu/cssp_papers/1},
  abstract = {Home buyers exercise school choice when shopping for a private residence due to its location in a public school district or attendance area. In this quantitative study of one Connecticut suburban district, we measure the effect of elementary school test scores and racial composition on home buyers’ willingness to purchase single-family homes over a 10-year period, controlling for house and neighborhood characteristics. Overall, while both test scores and race explain home prices, we found that the influence of tests declined while race became nearly seven times more influential over our decade-long period of study. Our interpretation of the results draws on the shifting context of school accountability, the Internet, and racial dynamics in this suburb over time.},
  file = {/Users/jdoughe2/Zotero/storage/9UC5JI9C/DoughertyEtal_AJE2009.pdf}
}

@online{doughertyToughQuestionsAsk2017,
  title = {Tough {{Questions}} to {{Ask}} about {{Trinity edX}}},
  author = {Dougherty, Jack},
  date = {2017-11-21T16:38:44-05:00},
  url = {https://jackdougherty.org/2017/11/21/tough-questions-to-ask-about-trinity-edx/},
  urldate = {2020-11-30},
  abstract = {This essay expands on themes raised in my earlier presentation, “Lessons Learned from Teaching MOOCs at Liberal Arts Colleges: Reflections on Data Visualization for All,” delivered at the Blended Learning in the Liberal Arts Conference at Bryn Mawr College, PA, in May 2017. See my presentation slides.},
  langid = {english},
  organization = {{JackDougherty.org}},
  file = {/Users/jdoughe2/Zotero/storage/7J64KM47/tough-questions-to-ask-about-trinity-edx.html}
}

@book{doughertyWebWritingWhy2015,
  title = {Web {{Writing}}: Why and {{How}} for {{Liberal Arts Teaching}} and {{Learning}}},
  editor = {Dougherty, Jack and O'Donnell, Tennyson},
  date = {2015},
  publisher = {{University of Michigan Press}},
  location = {{Ann Arbor}},
  url = {https://muse.jhu.edu/book/52297},
  abstract = {This open-access scholarly book-in-progress explores why online writing matters for liberal arts education and illustrates how faculty and students engage in this work, with links to examples and tutorials. With over twenty essays, the volume responds to current debates over massive online courses by arguing for thoughtfully integrating web-based authoring, editing, and publishing tools into what the liberal arts does best: teaching writing and clearer thinking across the curriculum.},
  annotation = {https://doi.org/10.3998/dh.13396229.0001.001},
  file = {/Users/jdoughe2/Zotero/storage/DMWH2RI9/WebWritingCoverUMich.pdf;/Users/jdoughe2/Zotero/storage/PBZ9M79D/2015-Web-Writing-Dougherty-excerpts.pdf}
}

@book{doughertyWritingHistoryDigital2013,
  title = {Writing {{History}} in the {{Digital Age}}},
  editor = {Dougherty, Jack and Nawrotzki, Kristen},
  date = {2013},
  publisher = {{University of Michigan Press}},
  location = {{Ann Arbor}},
  url = {https://muse.jhu.edu/book/27633},
  abstract = {With our unique focus on writing, our innovative web-born format and our open review process, we seek to move beyond the traditionalist ways humanities scholars – and historians in particular – have tended to think about and to use digital technologies. In a recent lecture delivered in advance of his forthcoming book, The Ivory Tower and the Open Web, Dan Cohen (2011) observes that most scholars have preferred “to impose traditional ivory tower genres on the web” rather than accept its most successful models, such as blogs and social media. What would happen, Cohen asks, if we reversed this flow and “embraced the genres of the open web?” How might the web challenge prevailing norms of scholarly work, particularly in how we generate and communicate knowledge with one another? This, in short, is what we seek to explore in our Writing History volume.},
  annotation = {https://doi.org/10.3998/dh.12230987.0001.001},
  file = {/Users/jdoughe2/Zotero/storage/5CRWXWQ6/WritingHistoryCoverUMich.pdf;/Users/jdoughe2/Zotero/storage/QTBBW57P/2013-Writing-History-Digital-Age-excerpts.pdf}
}

@online{DrillingDEAPain2019,
  title = {Drilling into the {{DEA}}’s {{Pain Pill Database}}},
  date = {2019-07-16},
  url = {https://www.washingtonpost.com/graphics/2019/investigations/dea-pain-pill-database/},
  urldate = {2020-07-31},
  abstract = {The federal government has tracked the path of every pain pill in the U.S. Here’s where they went and how they got there.},
  langid = {english},
  organization = {{Washington Post}},
  file = {/Users/jdoughe2/Zotero/storage/BDJHXVCP/dea-pain-pill-database.html}
}

@online{durosHowChicagoCommunity2013,
  title = {How the {{Chicago Community Trust}} and {{OpenGov Chicago}} Are Creating a New Type of Accountability Journalism},
  author = {Duros, Sally},
  date = {2013-04-25},
  url = {http://www.knightfoundation.org/blogs/knightblog/2013/4/25/how-chicago-community-trust-and-opengov-chicago-are-creating-new-type-accountability-journalism/},
  urldate = {2014-07-22},
  abstract = {On Wednesday, the Knight Community Information Challenge, which offers community foundations matching funds for news and information projects, opens for ...},
  organization = {{Knight Foundation}},
  file = {/Users/jdoughe2/Zotero/storage/Z23GAAKA/how-chicago-community-trust-and-opengov-chicago-are-creating-new-type-accountability-journalism.html}
}

@book{engebretsenDataVisualizationSociety2020,
  title = {Data {{Visualization}} in {{Society}}},
  editor = {Engebretsen, Martin and Kennedy, Helen},
  date = {2020-04-16},
  publisher = {{Amsterdam University Press}},
  url = {https://www.aup.nl/en/book/9789048543137/data-visualization-in-society},
  urldate = {2021-02-05},
  abstract = {Today we are witnessing an increased use of data visualization in society. Across domains such as work, education and the news, various forms of graphs, charts and maps are used to explain, convince and tell stories. In an era in which more and more data are produced and circulated digitally, and digital tools make visualization production increasingly accessible, it is important to study the conditions under which such visual texts are generated, disseminated and thought to be of societal benefit. This book is a contribution to the multi-disciplined and multi-faceted conversation concerning the forms, uses and roles of data visualization in society. Do data visualizations do \&\#39;good\&\#39; or \&\#39;bad\&\#39;? Do they promote understanding and engagement, or do they do ideological work, privileging certain views of the world over others? The contributions in the book engage with these core questions from a range of disciplinary perspectives.},
  isbn = {978-90-485-4313-7},
  langid = {english},
  file = {/Users/jdoughe2/Zotero/storage/I7XB8Z76/data-visualization-in-society.html}
}

@online{EnslavedPeoplesHistorical2020,
  title = {Enslaved: Peoples of the {{Historical Slave Trade}}},
  date = {2020},
  url = {https://enslaved.org/},
  urldate = {2020-12-07},
  organization = {{Matrix: The Center for Digital Humanities and Social Sciences, Michigan State University}},
  file = {/Users/jdoughe2/Zotero/storage/4RQT44X9/enslaved.org.html}
}

@book{evergreenEffectiveDataVisualization2016,
  title = {Effective {{Data Visualization}}: The {{Right Chart}} for the {{Right Data}}},
  shorttitle = {Effective {{Data Visualization}}},
  author = {Evergreen, Stephanie D. H.},
  date = {2016-05-18},
  edition = {1 edition},
  publisher = {{SAGE Publications, Inc}},
  location = {{Los Angeles}},
  abstract = {Written by sought-after speaker, designer, and researcher Stephanie D. H. Evergreen, Effective Data Visualization shows readers how to create Excel charts and graphs that best communicate data findings. This comprehensive how-to guide functions as a set of blueprints—supported by research and the author’s extensive experience with clients in industries all over the world—for conveying data in an impactful way. Delivered in Evergreen’s humorous and approachable style, the book covers the spectrum of graph types available beyond the default options, how to determine which one most appropriately fits specific data stories, and easy steps for making the chosen graph in Excel.},
  isbn = {978-1-5063-0305-5},
  langid = {english},
  pagetotal = {264}
}

@online{ferdmanWherePeopleWorld2015,
  title = {Where People around the World Eat the Most Sugar and Fat},
  author = {Ferdman, Roberto},
  date = {2015-02-05},
  url = {https://www.washingtonpost.com/news/wonk/wp/2015/02/05/where-people-around-the-world-eat-the-most-sugar-and-fat/},
  urldate = {2017-02-13},
  abstract = {Americans love sugar, Belgians love fat, and Germans love both.},
  organization = {{Washington Post}},
  file = {/Users/jdoughe2/Zotero/storage/IAUDZWAA/where-people-around-the-world-eat-the-most-sugar-and-fat.html}
}

@book{fewNowYouSee2009,
  title = {Now {{You See It}}: Simple {{Visualization Techniques}} for {{Quantitative Analysis}}},
  shorttitle = {Now {{You See It}}},
  author = {Few, Stephen},
  date = {2009-04-01},
  edition = {1st edition},
  publisher = {{Analytics Press}},
  location = {{Oakland, Calif}},
  abstract = {Now You See It: Simple Visualization Techniques for Quantitative Analysis teaches simple, practical means to explore and analyze quantitative data--techniques that rely primarily on using your eyes. This book features graphical techniques that can be applied to a broad range of software tools, including Microsoft Excel, because so many people have nothing else, but also more powerful visual analysis tools that can dramatically extend your analytical reach. You'll learn to make sense of quantitative data by discerning the meaningful patterns, trends, relationships, and exceptions that measure your organization's performance, identify potential problems and opportunities, and reveal what will likely happen in the future. Now You See It is not just for those with "analyst" in their titles, but for everyone who's interested in discovering the stories in their data that reveal their organization's performance and how it can be improved.},
  isbn = {978-0-9706019-8-8},
  langid = {english},
  pagetotal = {329}
}

@article{fewPiesDessert2007,
  title = {Save the Pies for Dessert},
  author = {Few, Stephen},
  date = {2007},
  journaltitle = {Visual Business Intelligence Newsletter},
  pages = {1--14},
  url = {http://www.perceptualedge.com/articles/visual_business_intelligence/save_the_pies_for_dessert.pdf},
  urldate = {2017-02-12},
  abstract = {Critique of pie charts},
  file = {/Users/jdoughe2/Zotero/storage/77B8XPJP/save_the_pies_for_dessert.pdf}
}

@book{fewShowMeNumbers2012,
  title = {Show {{Me}} the {{Numbers}}: Designing {{Tables}} and {{Graphs}} to {{Enlighten}}},
  shorttitle = {Show {{Me}} the {{Numbers}}},
  author = {Few, Stephen},
  date = {2012-06-01},
  edition = {Second edition},
  publisher = {{Analytics Press}},
  location = {{Burlingame, CA}},
  abstract = {Most presentations of quantitative information are poorly designed—painfully so, often to the point of misinformation. This problem, however, is rarely noticed and even more rarely addressed. We use tables and graphs to communicate quantitative information: the critical numbers that measure the health, identify the opportunities, and forecast the future of our organizations. Even the best information is useless, however, if its story is poorly told. This problem exists because almost no one has ever been trained to design tables and graphs for effective and efficient communication. Show Me the Numbers: Designing Tables and Graphs to Enlighten is the most accessible, practical, and comprehensive guide to table and graph design available.  The second edition of Show Me the Numbers improves on the first by polishing the content throughout (including updated figures) and adding 91 more pages of content, including: 1) A new preface; 2) A new chapter entitled "Silly Graphs That Are Best Forsaken," which alerts readers to some of the current misuses of graphs such as donut charts, circle charts, unit charts, and funnel charts; 3) A new chapter about quantitative narrative entitled "Telling Compelling Stories with Numbers"; and 4) New appendices entitled "Constructing Table Lens Displays in Excel," "Constructing Box Plots in Excel," and "Useful Color Palettes."},
  isbn = {978-0-9706019-7-1},
  langid = {english},
  pagetotal = {371}
}

@book{fitzpatrickPlannedObsolescencePublishing2011,
  title = {Planned {{Obsolescence}}: Publishing, {{Technology}}, and the {{Future}} of the {{Academy}}},
  shorttitle = {Planned {{Obsolescence}}},
  author = {Fitzpatrick, Kathleen},
  date = {2011-11-01},
  publisher = {{NYU Press}},
  url = {http://books.google.com/ebooks/reader?id=wF4ry3m9ulMC},
  abstract = {purchased on Google Books/Google Play},
  isbn = {0-8147-2788-3},
  pagetotal = {256}
}

@article{fowlerAlexaHasBeen2019,
  title = {Alexa {{Has Been Eavesdropping}} on {{You This Whole Time}}},
  author = {Fowler, Geoffrey A.},
  date = {2019-05-06},
  journaltitle = {Washington Post},
  issn = {0190-8286},
  url = {https://www.washingtonpost.com/technology/2019/05/06/alexa-has-been-eavesdropping-you-this-whole-time/},
  urldate = {2020-09-08},
  abstract = {Our tech columnist listened to four years of his Alexa archive, and discovered Amazon tracks us in more ways than we might want.},
  entrysubtype = {newspaper},
  langid = {american},
  annotation = {http://web.archive.org/web/20200908205849/https://www.washingtonpost.com/technology/2019/05/06/alexa-has-been-eavesdropping-you-this-whole-time/},
  file = {/Users/jdoughe2/Zotero/storage/MV9E4R4V/alexa-has-been-eavesdropping-you-this-whole-time.html}
}

@article{fowlerFacebookWillNow2020,
  title = {Facebook {{Will Now Show You Exactly How It Stalks You}} — {{Even When You}}’re {{Not Using Facebook}}},
  author = {Fowler, Geoffrey A.},
  date = {2020-01-28},
  journaltitle = {Washington Post},
  issn = {0190-8286},
  url = {https://www.washingtonpost.com/technology/2020/01/28/off-facebook-activity-page/},
  urldate = {2020-09-08},
  abstract = {The new ’Off-Facebook Activity' tool, available around the world Tuesday, reminds us we’re living in a reality TV program where we forget the cameras are always on. Here are the privacy settings to change right now.},
  entrysubtype = {newspaper},
  langid = {american},
  annotation = {http://web.archive.org/web/20200908205910/https://www.washingtonpost.com/technology/2020/01/28/off-facebook-activity-page/},
  file = {/Users/jdoughe2/Zotero/storage/GPQRW3YS/off-facebook-activity-page.html}
}

@article{fowlerGoodbyeChromeGoogle2019,
  title = {Goodbye, {{Chrome}}: Google’s {{Web Browser Has Become Spy Software}}},
  shorttitle = {Review | {{Goodbye}}, {{Chrome}}},
  author = {Fowler, Geoffrey A.},
  date = {2019-06-21},
  journaltitle = {Washington Post},
  issn = {0190-8286},
  url = {https://www.washingtonpost.com/technology/2019/06/21/google-chrome-has-become-surveillance-software-its-time-switch/},
  urldate = {2020-09-08},
  abstract = {Our latest privacy experiment found Chrome ushered more than 11,000 tracker cookies into our browser — in a single week.},
  entrysubtype = {newspaper},
  langid = {american},
  annotation = {http://web.archive.org/web/20200908205832/https://www.washingtonpost.com/technology/2019/06/21/google-chrome-has-become-surveillance-software-its-time-switch/},
  file = {/Users/jdoughe2/Zotero/storage/UDBEUW5J/google-chrome-has-become-surveillance-software-its-time-switch.html}
}

@article{fowlerPerspective87Percent2020,
  title = {Perspective | 87 Percent of Websites Are Tracking You. {{This}} New Tool Will Let You Run a Creepiness Check.},
  author = {Fowler, Geoffrey A.},
  date = {2020-09-25},
  journaltitle = {Washington Post},
  issn = {0190-8286},
  url = {https://www.washingtonpost.com/technology/2020/09/25/privacy-check-blacklight/},
  urldate = {2020-09-26},
  abstract = {You can scan any website for privacy — trackers, cookies, and even keyloggers — with the free  Blacklight from The Markup.},
  entrysubtype = {newspaper},
  langid = {american},
  annotation = {http://web.archive.org/web/20200926212652/https://www.washingtonpost.com/technology/2020/09/25/privacy-check-blacklight/},
  file = {/Users/jdoughe2/Zotero/storage/86SDRSUI/privacy-check-blacklight.html}
}

@incollection{friendlyBriefHistoryData2008,
  title = {A {{Brief History}} of {{Data Visualization}}},
  booktitle = {Handbook of {{Data Visualization}}},
  author = {Friendly, Michael},
  date = {2008-01-01},
  series = {Springer {{Handbooks Comp}}.{{Statistics}}},
  pages = {15--56},
  publisher = {{Springer Berlin Heidelberg}},
  url = {http://link.springer.com/chapter/10.1007/978-3-540-33037-0_2},
  urldate = {2013-11-18},
  abstract = {It is common to think of statistical graphics and data visualization as relatively modern developments in statistics. In fact, the graphic representation of quantitative information has deep roots. These roots reach into the histories of the earliestmap making and visual depiction, and later into thematic cartography, statistics and statistical graphics, medicine and other fields. Along the way, developments in technologies (printing, reproduction), mathematical theory and practice, and empirical observation and recording enabled the wider use of graphics and new advances in form and content.},
  isbn = {978-3-540-33036-3 978-3-540-33037-0},
  langid = {english},
  keywords = {Computational Biology/Bioinformatics,Computer Imaging; Vision; Pattern Recognition and Graphics,Statistical Theory and Methods,Statistics and Computing/Statistics Programs},
  file = {/Users/jdoughe2/Zotero/storage/BUB72KHA/hbook.pdf;/Users/jdoughe2/Zotero/storage/4TQST643/978-3-540-33037-0_2.html}
}

@online{friendlyMilestonesHistoryThematic2001,
  title = {Milestones in the {{History}} of {{Thematic Cartography}}, {{Statistical Graphics}}, and {{Data Visualization}}},
  author = {Friendly, Michael and Denis, Daniel J.},
  date = {2001},
  url = {http://www.datavis.ca/milestones/},
  urldate = {2017-02-28},
  abstract = {illustrated chronology of innovations},
  file = {/Users/jdoughe2/Zotero/storage/4SM9XACG/milestones.html}
}

@book{fryVisualizingDataExploring2007,
  title = {Visualizing {{Data}}: Exploring and {{Explaining Data}} with the {{Processing Environment}}},
  shorttitle = {Visualizing {{Data}}},
  author = {Fry, Ben},
  date = {2007-12-18},
  publisher = {{O'Reilly Media, Inc.}},
  url = {http://books.google.com/books?isbn=0596554729},
  abstract = {Enormous quantities of data go unused or underused today, simply because people can't visualize the quantities and relationships in it. Using a downloadable programming environment developed by the author, Visualizing Data demonstrates methods for representing data accurately on the Web and elsewhere, complete with user interaction, animation, and more. How do the 3.1 billion A, C, G and T letters of the human genome compare to those of a chimp or a mouse? What do the paths that millions of visitors take through a web site look like? With Visualizing Data, you learn how to answer complex questions like these with thoroughly interactive displays. We're not talking about cookie-cutter charts and graphs. This book teaches you how to design entire interfaces around large, complex data sets with the help of a powerful new design and prototyping tool called "Processing". Used by many researchers and companies to convey specific data in a clear and understandable manner, the Processing beta is available free. With this tool and Visualizing Data as a guide, you'll learn basic visualization principles, how to choose the right kind of display for your purposes, and how to provide interactive features that will bring users to your site over and over. This book teaches you: The seven stages of visualizing data -- acquire, parse, filter, mine, represent, refine, and interact How all data problems begin with a question and end with a narrative construct that provides a clear answer without extraneous details Several example projects with the code to make them work Positive and negative points of each representation discussed. The focus is on customization so that each one best suits what you want to convey about your data set  The book does not provide ready-made "visualizations" that can be plugged into any data set. Instead, with chapters divided by types of data rather than types of display, you'll learn how each visualization conveys the unique properties of the data it represents -- why the data was collected, what's interesting about it, and what stories it can tell. Visualizing Data teaches you how to answer questions, not simply display information.},
  isbn = {978-0-596-55472-9},
  langid = {english},
  pagetotal = {386},
  keywords = {Computers / Computer Graphics,Computers / Data Modeling & Design,Computers / Data Processing}
}

@online{gaulOpenGovVoicesHartford2014,
  title = {{{OpenGov Voices}}: Hartford's New Open Data Portal},
  shorttitle = {{{OpenGov Voices}}},
  author = {Gaul, Scott},
  date = {2014-09-12},
  url = {http://sunlightfoundation.com/blog/2014/09/12/opengov-voices-hartfords-new-open-data-portal/},
  urldate = {2014-09-12},
  organization = {{Sunlight Foundation}},
  file = {/Users/jdoughe2/Zotero/storage/4M4TMZ4X/opengov-voices-hartfords-new-open-data-portal.html}
}

@online{gebhartSpyingStudentsSchoolIssued2017,
  title = {Spying on {{Students}}: School-{{Issued Devices}} and {{Student Privacy}}},
  shorttitle = {Spying on {{Students}}},
  author = {Gebhart, Gennie},
  date = {2017-04-13T07:33:53-07:00},
  url = {https://www.eff.org/wp/school-issued-devices-and-student-privacy},
  urldate = {2020-07-09},
  abstract = {by Frida Alim, Nate Cardozo, Gennie Gebhart, Karen Gullo, and Amul KaliaDownload the report as a PDF.EXECUTIVE SUMMARYStudents and their families are backed into a corner. As students across the United States are handed school-issued laptops and signed up for educational cloud services, the way the...},
  langid = {english},
  organization = {{Electronic Frontier Foundation}},
  annotation = {http://web.archive.org/web/20200709152444/https://www.eff.org/wp/school-issued-devices-and-student-privacy},
  file = {/Users/jdoughe2/Zotero/storage/A833X3H3/school-issued-devices-and-student-privacy.html}
}

@book{goldsteinTransparencyOpenData2013,
  title = {Beyond {{Transparency}}: Open {{Data}} and the {{Future}} of {{Civic Innovation}}},
  shorttitle = {Beyond {{Transparency}}},
  editor = {Goldstein, Brett and Dyson, Lauren},
  date = {2013-10-16},
  publisher = {{Code for America Press}},
  location = {{San Francisco, Calif.}},
  url = {http://beyondtransparency.org/},
  abstract = {The rise of open data in the public sector has sparked innovation, driven efficiency, and fueled economic development. While still emerging, we are seeing evidence of the transformative potential of open data in shaping the future of our civic life, and the opportunity to use open data to reimagine the relationship between residents and government, especially at the local level. As we look ahead, what have we learned so far from open data in practice and how we can apply those lessons to realize a more promising future for America’s cities and communities?  Edited by Brett Goldstein, former Chief Data Officer for the City of Chicago, with Code for America, this book features essays from over twenty of the world’s leading experts in a first-of-its-kind instructive anthology about how open data is changing the face of our public institutions.   Contributors include:   Michael Flowers, Chief Analytics Officer, New York City Beth Blauer, former director of Maryland StateStat Jonathan Feldman, CIO, City of Asheville Tim O’Reilly, founder \& CEO, O’Reilly Media Eric Gordon, Director of Engagement Game Lab, Emerson College Beth Niblock, CIO, Louisville Metro Government Ryan \& Mike Alfred, Co-Founders, Brightscope Emer Coleman, former director of the London Datastore Mark Headd, Chief Data Officer, City of Philadelphia    “As an essential volume for anyone interested in the future of governance, urban policy, design, data-driven policymaking, journalism, or civic engagement, "Beyond Transparency" combines the inspirational glow and political grit of Profiles in Courage with the clarity of an engineer's calm explanation of how something technical actually works. Here are the detailed how-to stories of many members of the first generation of open government pioneers, written in a generous, accessible style; this compilation presents us with a great deal to admire, ample provocation, and wise guidance from a group of remarkable individuals.”  —Susan Crawford, author of Captive Audience   “Just as he did during his time in my administration, Goldstein has brought together industry leaders to discuss issues of relevance in the open data movement and the practical implications of implementing these policies… This book will help continue the work to make open government a reality across the country.”  — Mayor Rahm Emanuel, City of Chicago   “A must-read for anyone who is passionate about what open data can do to transform city living.”  — Boris Johnson, Mayor of London},
  isbn = {978-0-615-88908-5},
  file = {/Users/jdoughe2/Zotero/storage/FJZTKVKJ/BeyondTransparency.pdf}
}

@book{gourleyHowUseData2015,
  title = {How to {{Use Data Visualization}} to {{Win Over Your Audience}}},
  author = {Gourley, Drew},
  date = {2015-06},
  publisher = {{Visage}},
  url = {https://visage.co/content/data-viz-win-audience/},
  file = {/Users/jdoughe2/Zotero/storage/CTHQJXBZ/DataVizWinAudience.pdf}
}

@book{grayDataJournalismHandbook2012,
  title = {The Data Journalism Handbook},
  author = {Gray, Jonathan and Bounegru, Liliana and Chambers, Lucy},
  date = {2012},
  publisher = {{O'Reilly}},
  location = {{Sebastopol, CA [etc.]}},
  isbn = {978-1-4493-3006-4 1-4493-3006-1},
  langid = {english}
}

@book{harfordDataDetectiveTen2021,
  title = {The {{Data Detective}}: Ten {{Easy Rules}} to {{Make Sense}} of {{Statistics}}},
  shorttitle = {The {{Data Detective}}},
  author = {Harford, Tim},
  date = {2021-02-02},
  eprint = {_JvmDwAAQBAJ},
  eprinttype = {googlebooks},
  publisher = {{Penguin}},
  url = {https://www.google.com/books/edition/The_Data_Detective/_JvmDwAAQBAJ},
  abstract = {From “one of the great (greatest?) contemporary popular writers on economics” (Tyler Cowen) comes a smart, lively, and encouraging rethinking of how to use statistics.Today we think statistics are the enemy, numbers used to mislead and confuse us. That’s a mistake, Tim Harford says in The Data Detective. We~shouldn’t be suspicious of statistics—we need to understand what they mean and how they can improve our~lives: they~are, at heart, human behavior seen through the prism of numbers and are often “the only way of grasping much of what is going on around~us.”~If we can toss aside our fears and learn to approach them clearly—understanding how our own preconceptions lead us astray—statistics can point to ways we can live better and work smarter.As~“perhaps the best popular economics writer in the~world”~(New Statesman), Tim Harford is an expert at taking complicated ideas and untangling them for millions of readers. In The Data Detective, he uses new research in science and psychology to set out ten strategies for using statistics to erase our biases and replace them with new ideas that use virtues like patience, curiosity, and good sense to better understand ourselves and the world. As a result, The Data Detective is a big-idea book about statistics and human behavior that is fresh, unexpected, and insightful.},
  isbn = {978-0-593-08467-0},
  langid = {english},
  pagetotal = {387},
  keywords = {Business & Economics / Consumer Behavior,Business & Economics / Statistics,Psychology / Social Psychology}
}

@misc{HartfordCityScan2001,
  title = {Hartford {{City Scan}} 2001},
  date = {2001},
  file = {/Users/jdoughe2/Zotero/storage/EUWIVNJT/CPEC_HartfordCityScan2001.pdf}
}

@misc{hartfordfoundationforpublicgivingCommunityIndicatorsProject2013,
  title = {Community {{Indicators Project}}: Where Are We Now? ({{Draft}})},
  author = {Hartford Foundation for Public Giving},
  date = {2013-07},
  file = {/Users/jdoughe2/Zotero/storage/XXMQUN2S/Community-Indicators-Project-2pg-draft-2013-07.pdf}
}

@book{hartfordfoundationforpublicgivingEDIEarlyDevelopment2015,
  title = {{{EDI}} ({{Early Development Instrument}}) {{Report}}},
  author = {Hartford Foundation for Public Giving},
  date = {2015-01},
  url = {http://edi.ctdata.org/},
  abstract = {Brochure includes analysis of kindergarten students from Hartford and West Hartford},
  file = {/Users/jdoughe2/Zotero/storage/3BU3MCBI/EDI Report FINAL.PDF}
}

@misc{hartfordfoundationforpublicgivingMetroHartfordProgress2014,
  title = {Metro {{Hartford Progress Points}} 2014: A {{Community Data Indicators Report Looking}} at {{Progress}} \& {{Promise}} in the {{Metro Hartford Communities}}},
  author = {Hartford Foundation for Public Giving},
  date = {2014-04},
  url = {http://www.metrohartfordprogresspoints.org/},
  urldate = {2014-04-02},
  abstract = {Developed by a group of key regional stakeholders, Metro Hartford Progress Points is a periodic 'check-up' for the region to build greater understanding about issues facing the Greater Hartford community. Using a core set of data indicators to identify opportunities for action the 2014 report addresses the following key areas: Defining Our Region Increasing Globalization Growing Suburban Poverty Stubborn Education Gaps},
  file = {/Users/jdoughe2/Zotero/storage/JA3W5N7M/SourcesData_Metro_Hartford_Progress_Points_2014.pdf;/Users/jdoughe2/Zotero/storage/VH7JRK57/Metro_Hartford_Progress_Points_2014.pdf;/Users/jdoughe2/Zotero/storage/XZAMUQ7U/www.metrohartfordprogresspoints.org.html}
}

@book{hartfordfoundationforpublicgivingMetroHartfordProgress2015,
  title = {Metro {{Hartford Progress Points}} 2015: Access to {{Opportunity}}},
  author = {Hartford Foundation for Public Giving},
  date = {2015},
  url = {http://metrohartfordprogresspoints.org/},
  urldate = {2015-11-16},
  file = {/Users/jdoughe2/Zotero/storage/BMA2R2BQ/Metro_Hartford_Progress_Points_2015.pdf;/Users/jdoughe2/Zotero/storage/BREX5WZI/Progress Points 2015 data.xlsx;/Users/jdoughe2/Zotero/storage/JWCXBI7A/metrohartfordprogresspoints.org.html}
}

@book{haverbekeEloquentJavaScriptModern2018,
  title = {Eloquent {{JavaScript}}: A {{Modern Introduction}} to {{Programming}}, 3rd {{Edition}}},
  author = {Haverbeke, Marijn},
  date = {2018},
  url = {https://eloquentjavascript.net/},
  urldate = {2020-12-10},
  file = {/Users/jdoughe2/Zotero/storage/IMZEQVDW/eloquentjavascript.net.html}
}

@online{hayesTutorialGeoreferencingDisplaying2020,
  title = {Tutorial: Georeferencing and {{Displaying Historical Maps}} Using {{Map Warper}} and {{StoryMapJS}}},
  shorttitle = {Tutorial},
  author = {Hayes, Erica and Partlow, Mia},
  date = {2020-11-20},
  publisher = {{OSF}},
  url = {https://doi.org/10.17605/OSF.IO/7QD56},
  urldate = {2020-12-18},
  abstract = {Georeferenced maps provide an opportunity to contextualize historic data. When published in a web environment, users can interact with historic maps in new ways. This lesson will teach you how to georeference a historic map using Map Warper, and will take you through the steps for displaying your georeferenced map online in KnightLab's Story Map JS.      Hosted on the Open Science Framework},
  langid = {english},
  organization = {{Open Science Framework}},
  file = {/Users/jdoughe2/Zotero/storage/5AKFBAK4/7qd56.html}
}

@article{healyDataVisualizationSociology2014,
  title = {Data {{Visualization}} in {{Sociology}}},
  author = {Healy, Kieran and Moody, James},
  date = {2014},
  journaltitle = {Annual Review of Sociology},
  volume = {40},
  number = {1},
  pages = {105--128},
  doi = {10.1146/annurev-soc-071312-145551},
  url = {http://dx.doi.org/10.1146/annurev-soc-071312-145551},
  urldate = {2015-02-11},
  abstract = {Visualizing data is central to social scientific work. Despite a promising early beginning, sociology has lagged in the use of visual tools. We review the history and current state of visualization in sociology. Using examples throughout, we discuss recent developments in ways of seeing raw data and presenting the results of statistical modeling. We make a general distinction between those methods and tools designed to help explore data sets and those designed to help present results to others. We argue that recent advances should be seen as part of a broader shift toward easier sharing of code and data both between researchers and with wider publics, and we encourage practitioners and publishers to work toward a higher and more consistent standard for the graphical display of sociological insights.},
  keywords = {exploratory data analysis,methods,Statistics,visualization},
  file = {/Users/jdoughe2/Zotero/storage/UKW8VK6H/Healy and Moody - 2014 - Data Visualization in Sociology.pdf}
}

@online{HowCTMirror2014,
  title = {How the {{CT Mirror}} Hackathon Taught Me to Be a Student Again},
  date = {2014-05-05},
  url = {http://ctmirror.org/how-the-ct-mirror-hackathon-taught-me-to-be-a-student-again/},
  urldate = {2014-05-05},
  organization = {{The CT Mirror}},
  file = {/Users/jdoughe2/Zotero/storage/M9RF7B7W/how-the-ct-mirror-hackathon-taught-me-to-be-a-student-again.html}
}

@book{hubspotDataVisualization1012014,
  title = {Data {{Visualization}} 101: How to {{Design Charts}} and {{Graphs}}},
  author = {Hubspot and Visage},
  date = {2014},
  url = {https://visage.co/resource/data-visualization-101-how-to-design-charts-graphs/},
  file = {/Users/jdoughe2/Zotero/storage/82E9XG8E/Data_Visualization_101_How_to_Design_Charts_and_Graphs.pdf}
}

@book{huffHowLieStatistics1954,
  title = {How to {{Lie}} with {{Statistics}}},
  author = {Huff, Darrell},
  date = {1954},
  publisher = {{W. W. Norton \& Company}},
  url = {http://books.google.com/books?isbn=0393070875},
  abstract = {Darrell Huff runs the gamut of every popularly used type of statistic, probes such things as the sample study, the tabulation method, the interview technique, or the way results are derived from the figures, and points up the countless number of dodges which are used to fool rather than to inform.},
  isbn = {978-0-393-07087-3},
  langid = {english},
  pagetotal = {145},
  keywords = {Mathematics / Probability & Statistics / General}
}

@book{iliinskyDesigningDataVisualizations2011,
  title = {Designing {{Data Visualizations}}: Representing {{Informational Relationships}}},
  shorttitle = {Designing {{Data Visualizations}}},
  author = {Iliinsky, Noah and Steele, Julie},
  date = {2011-09-16},
  publisher = {{O'Reilly Media, Inc.}},
  url = {http://books.google.com/books?isbn=1449317065},
  abstract = {Data visualization is an efficient and effective medium for communicating large amounts of information, but the design process can often seem like an unexplainable creative endeavor. This concise book aims to demystify the design process by showing you how to use a linear decision-making process to encode your information visually. Delve into different kinds of visualization, including infographics and visual art, and explore the influences at work in each one. Then learn how to apply these concepts to your design process. Learn data visualization classifications, including explanatory, exploratory, and hybrid Discover how three fundamental influences—the designer, the reader, and the data—shape what you create Learn how to describe the specific goal of your visualization and identify the supporting data Decide the spatial position of your visual entities with axes Encode the various dimensions of your data with appropriate visual properties, such as shape and color See visualization best practices and suggestions for encoding various specific data types},
  isbn = {978-1-4493-1706-5},
  langid = {english},
  pagetotal = {111},
  keywords = {Computers / Computer Graphics,Computers / Computer Literacy,Computers / Data Modeling & Design,Computers / General,Computers / User Interfaces}
}

@online{jordanMOOCCompletionRates2015,
  title = {{{MOOC Completion Rates}}: The {{Data}}},
  author = {Jordan, Katy},
  date = {2015},
  url = {http://www.katyjordan.com/MOOCproject.html},
  urldate = {2017-01-31},
  abstract = {Massive Open Online Courses (MOOCs) have the potential to enable free university-level education on an enormous scale. A concern often raised about MOOCs is that although thousands enrol for courses, a very small proportion actually complete the course. The release of information about enrollment and completion rates from MOOCs appears to be ad hoc at the moment - that is, official statistics are not published for every course. This data visualisation draws together information about enrollment numbers and completion rates from across online news stories and blogs.},
  file = {/Users/jdoughe2/Zotero/storage/NKEIEM82/MOOCproject.html}
}

@book{kahlenbergSmarterCharterFinding2014,
  title = {A {{Smarter Charter}}: Finding {{What Works}} for {{Charter Schools}} and {{Public Education}}},
  shorttitle = {A {{Smarter Charter}}},
  author = {Kahlenberg, Richard D. and Potter, Halley},
  date = {2014-09-29},
  publisher = {{Teachers College Press}},
  url = {https://books.google.com/books?isbn=0807755796},
  abstract = {ebook available at http://store.tcpress.com/0807755796.shtml “A remarkable new book.... Wise and energetic advocates such as Kahlenberg and Potter can take the charter movement in new and useful directions.”—The~Washington PostMoving beyond the debate over whether or not charter schools should exist,~A Smarter Charter~wrestles with the question of what kind of charter schools we should encourage. The authors begin by tracing the evolution of charter schools from teacher union leader Albert Shanker’s original vision of giving teachers room to innovate while educating a diverse population of students, to today’s charter schools where the majority of teachers are not unionized and student segregation levels are even higher than in traditional public schools. In the second half of the book, the authors examine two key reforms currently seen in a small but growing number of charter schools—teacher voice and socioeconomic integration—that have the potential to improve performance and reshape the stereotypical image of what it means to be a charter school.Important reading for policymakers, educators, researchers, and all citizens interested in the future of America’s public schools,~A Smarter Charter~features:  Profiles of charter schools that are bucking the prevailing trends, including their performance data and the challenges they face.  Best practices from successful charter schools, such as methods for attracting a diverse student body and examples of innovative teacher contracts.  Reform strategies that can improve student outcomes in a variety of public schools, not just charters.“Kahlenberg and Potter have delivered a thought-provoking, serious contribution. Agree or not with their views on the purpose and performance of charter schools, they have important things to say on where charters have been, where they need to go, and how they can get there. Friends and foes of charter schooling, alike, would do well to read this book.”—Frederick M. Hess, resident scholar and director of Education Policy Studies, American Enterprise Institute“Read this book and draw inspiration and ideas from charter schools and educators bucking the trend and reclaiming that original, collaborative, and powerful promise and spirit. I hope parents, educators in all sectors, concerned citizens, policymakers, philanthropists—and charter sector leaders—will take its compelling message to heart and act on it.”—Dennis Van Roekel, former president, National Education Association“A tour-de-force, laying out in singular fashion what has gone wrong with the charter school movement, and what must be done to get it back on track....~A Smarter Charter~is a must-read for those concerned with the future of charter schools and public education.”—Randi Weingarten, president, American Federation of Teachers},
  isbn = {978-0-8077-5579-2},
  langid = {english},
  pagetotal = {240}
}

@article{kantorHarvardBusinessSchool2013,
  title = {Harvard {{Business School Case Study}}: Gender {{Equity}}},
  shorttitle = {Harvard {{Business School Case Study}}},
  author = {Kantor, Jodi},
  date = {2013-09-07},
  journaltitle = {The New York Times},
  issn = {0362-4331},
  url = {http://www.nytimes.com/2013/09/08/education/harvard-case-study-gender-equity.html?},
  urldate = {2013-09-14},
  abstract = {An aggressive program intended to foster female success brought improvements, but also resentment and uncertainty.},
  entrysubtype = {newspaper},
  journalsubtitle = {Education},
  keywords = {Colleges and Universities,Faust; Drew Gilpin,Gender,Harvard Business School,Labor and Jobs,Nohria; Nitin,Women and Girls},
  file = {/Users/jdoughe2/Zotero/storage/4SZUFHD2/harvard-case-study-gender-equity.html}
}

@online{karaFuzzyNumbersStatetostate2015,
  title = {The Fuzzy Numbers on State-to-State Moves},
  author = {Kara, Jake},
  date = {2015-12-22},
  url = {http://trendct.org/2015/12/22/the-fuzzy-numbers-on-state-to-state-moves/},
  urldate = {2015-12-22},
  abstract = {What states did folks go to when moving out of Connecticut? What states did new Nutmeggers come from? Well, it turns out it’s hard to say. The Census Bureau estimates about 178,247 people moved to or from Connecticut in its most recent 2014 American Community Survey data, but that big number comes with some big […] Blurry data visualization of fuzzy US Census state-to-state migration data, due to high error estimates},
  organization = {{TrendCT}},
  file = {/Users/jdoughe2/Zotero/storage/KNWWUB54/the-fuzzy-numbers-on-state-to-state-moves.html}
}

@online{katzHowAllYouse2013,
  title = {How {{Y}}’all, {{Youse}} and {{You Guys Talk}}},
  author = {Katz, Josh and Andrews, Wilson},
  date = {2013-12-22},
  url = {http://www.nytimes.com/interactive/2013/12/20/sunday-review/dialect-quiz-map.html},
  urldate = {2013-12-22},
  abstract = {What does the way you speak say about where you’re from? Answer the questions to see your personal dialect map. (compare with PDF of how print version appeared, which was not available in online "today's paper" section)},
  organization = {{The New York Times}},
  keywords = {English language,Language and Languages},
  file = {/Users/jdoughe2/Zotero/storage/IW4SU7ER/NYT20131222_HowY'all.pdf;/Users/jdoughe2/Zotero/storage/QTH5QHHA/NYT20131222_HowY'all.png;/Users/jdoughe2/Zotero/storage/MKP6BZH4/dialect-quiz-map.html}
}

@online{khooReviewHandsonData2021,
  title = {Review: Hands-on {{Data Visualization}}},
  shorttitle = {Review},
  author = {Khoo, Alexandra},
  date = {2021-07-13T13:00:13+00:00},
  url = {https://nightingaledvs.com/review-hands-on-data-visualization/},
  urldate = {2021-07-13},
  abstract = {As a community-taught dataviz designer, I love digging into the craft of turning data into narrative and finding new ways to combat the dataviz equivalent...},
  langid = {american},
  organization = {{Nightingale}},
  file = {/Users/jdoughe2/Zotero/storage/HDVNY9MY/review-hands-on-data-visualization.html}
}

@online{king11BestData2020,
  title = {The 11 {{Best Data Visualization Courses}} and {{Online Training}} for 2020},
  author = {King, Timothy},
  date = {2020-10-13T13:53:57+00:00},
  url = {https://solutionsreview.com/business-intelligence/the-best-data-visualization-courses-and-online-training/},
  urldate = {2020-10-16},
  abstract = {The editors at Solutions Review have compiled this list of the best data visualization courses and online training to consider for 2020. Data visualization means giving numbers a visual context, an… Mentions DataVizFor All edX course at Trinity},
  langid = {american},
  organization = {{Best Business Intelligence and Data Analytics Tools, Software, Solutions \& Vendors}},
  file = {/Users/jdoughe2/Zotero/storage/9BCQAGPZ/the-best-data-visualization-courses-and-online-training.html}
}

@online{kirchnerCanAlgorithmsViolate,
  title = {Can {{Algorithms Violate Fair Housing Laws}}?},
  shorttitle = {Can {{Algorithms Violate Fair Housing Laws}}?},
  author = {Kirchner, Lauren},
  url = {https://themarkup.org/locked-out/2020/09/24/fair-housing-laws-algorithms-tenant-screenings},
  urldate = {2020-10-01},
  abstract = {Landlords increasingly use screening services to weed out renters. Advocates say both landlords and the algorithms should be accountable when things go wrong. Connecticut Fair Housing Center vs CoreLogic case},
  langid = {english},
  organization = {{The Markup}},
  annotation = {http://web.archive.org/web/20201001005751/https://themarkup.org/locked-out/2020/09/24/fair-housing-laws-algorithms-tenant-screenings},
  file = {/Users/jdoughe2/Zotero/storage/YJ3LFXDF/fair-housing-laws-algorithms-tenant-screenings.html}
}

@book{kirkDataVisualizationSuccessful2012,
  title = {Data {{Visualization}}: A {{Successful Design Process}}},
  shorttitle = {Data {{Visualization}}},
  author = {Kirk, Andy},
  date = {2012-01-01},
  publisher = {{Packt Publishing Ltd}},
  url = {http://books.google.com/books?isbn=1849693471},
  abstract = {A comprehensive yet quick guide to the best approaches to designing data visualizations, with real examples and illustrative diagrams. Whatever the desired outcome ensure success by following this expert design process. This book is for anyone who has responsibility for, or is interested in trying to find innovative and effective ways to visually analyze and communicate data. There is no skill, no knowledge and no role-based pre-requisites or expectations of anyone reading this book.},
  isbn = {978-1-84969-347-9},
  langid = {english},
  pagetotal = {159},
  keywords = {COMPUTERS / Desktop Applications / Databases,Computers / System Administration / Storage & Retrieval}
}

@online{kleppmannWritingBookIt2020,
  title = {Writing a {{Book}}: Is {{It Worth It}}?},
  author = {Kleppmann, Martin},
  date = {2020-09-29},
  url = {https://martin.kleppmann.com/2020/09/29/is-book-writing-worth-it.html},
  urldate = {2020-10-08},
  abstract = {financial and educational benefits of writing a tech book with O'Reilly Media},
  annotation = {http://web.archive.org/web/20201008000310/https://martin.kleppmann.com/2020/09/29/is-book-writing-worth-it.html}
}

@book{knaflicStorytellingDataData2015,
  title = {Storytelling with {{Data}}: A {{Data Visualization Guide}} for {{Business Professionals}}},
  shorttitle = {Storytelling with {{Data}}},
  author = {Knaflic, Cole Nussbaumer},
  date = {2015-11-02},
  edition = {1 edition},
  publisher = {{Wiley}},
  location = {{Hoboken, New Jersey}},
  abstract = {Don't simply show your data—tell a story with it!~  Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory, but made accessible through numerous real-world examples—ready for immediate application to your next graph or presentation.~     Storytelling is not an inherent skill, especially when it comes to data visualization, and the tools at our disposal don't make it any easier. This book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story. Specifically, you'll learn how to:~    Understand the importance of context and audience Determine the appropriate type of graph for your situation Recognize and eliminate the clutter clouding your information Direct your audience's attention to the most important parts of your data Think like a designer and utilize concepts of design in data visualization Leverage the power of storytelling to help your message resonate with your audience~  Together, the lessons in this book will help you turn your data into high impact visual stories that stick with your audience. Rid your world of ineffective graphs, one exploding 3D pie chart at a time. There is a story in your data—Storytelling with Data will give you the skills and power to tell it!},
  isbn = {978-1-119-00225-3},
  langid = {english},
  pagetotal = {288}
}

@book{knaflicStorytellingDataLet2019,
  title = {Storytelling with {{Data}}: Let's {{Practice}}!},
  shorttitle = {Storytelling with {{Data}}},
  author = {Knaflic, Cole Nussbaumer},
  date = {2019-10-22},
  eprint = {aGatDwAAQBAJ},
  eprinttype = {googlebooks},
  publisher = {{John Wiley \& Sons}},
  url = {https://www.google.com/books/edition/Storytelling_with_Data/aGatDwAAQBAJ},
  abstract = {Influence action through data! This is not a book. It is a one-of-a-kind immersive learning experience through which you can become—or teach others to be—a powerful data storyteller. Let’s practice! helps you build confidence and credibility to create graphs and visualizations that make sense and weave them into action-inspiring stories. Expanding upon best seller storytelling with data’s foundational lessons, Let’s practice! delivers fresh content, a plethora of new examples, and over 100 hands-on exercises. Author and data storytelling maven Cole Nussbaumer Knaflic guides you along the path to hone core skills and become a well-practiced data communicator. Each chapter includes: ● Practice with Cole: exercises based on real-world examples first posed for you to consider and solve, followed by detailed step-by-step illustration and explanation ● Practice on your own: thought-provoking questions and even more exercises to be assigned or worked through individually, without prescribed solutions ● Practice at work: practical guidance and hands-on exercises for applying storytelling with data lessons on the job, including instruction on when and how to solicit useful feedback and refine for greater impact The lessons and exercises found within this comprehensive guide will empower you to master—or develop in others—data storytelling skills and transition your work from acceptable to exceptional. By investing in these skills for ourselves and our teams, we can all tell inspiring and influential data stories!},
  isbn = {978-1-119-62149-2},
  langid = {english},
  pagetotal = {448},
  keywords = {Business & Economics / Business Communication / Meetings & Presentations,Computers / Data Visualization,Computers / Information Technology}
}

@online{knaflicUpdatedPostPies2017,
  title = {An {{Updated Post}} on {{Pies}}},
  author = {Knaflic, Cole Nussbaumer},
  date = {2017-02-16},
  url = {http://www.storytellingwithdata.com/blog/2017/1/10/an-updated-post-on-pies},
  urldate = {2017-02-20},
  abstract = {Today's post is about one of my favorite dessert graphs: the pie chart.  Those who follow my work know that I am not a fan. In fact, I've written  posts with titles like "pie charts are evil" and given presentations called  "death to pie charts." It can be fun to be a little p},
  organization = {{storytelling with data}},
  file = {/Users/jdoughe2/Zotero/storage/JGA9SDFG/an-updated-post-on-pies.html}
}

@online{kolkoAmericaMostUnequal2014,
  title = {America's {{Most Unequal Metros}}},
  author = {Kolko, Jed},
  date = {2014-03},
  url = {http://www.theatlanticcities.com/jobs-and-economy/2014/03/americas-most-unequal-metros/8623/},
  urldate = {2014-03-12},
  abstract = {Overall, the most imbalanced U.S. metros tend to have worse housing affordability and slower job growth. Hartford metro area was 10th on list of greatest increase in inequality from 1990 to 2012(?)},
  organization = {{Atlantic Cities}},
  keywords = {Affordable Housing,and Housing Costs,Income Inequality,Metro Areas},
  file = {/Users/jdoughe2/Zotero/storage/KJPK8GBB/8623.html}
}

@online{korostoffWealthShownScale2020,
  title = {Wealth, Shown to Scale},
  author = {Korostoff, Matt},
  date = {2020-04},
  url = {https://mkorostoff.github.io/1-pixel-wealth/},
  urldate = {2020-05-04},
  abstract = {Wealth inequality in the United States is out of control. Here we visualize the issue in a unique way. https://github.com/MKorostoff/1-pixel-wealth},
  annotation = {http://web.archive.org/web/20200504133711/https://mkorostoff.github.io/1-pixel-wealth/},
  file = {/Users/jdoughe2/Zotero/storage/CJMZB9HQ/1-pixel-wealth.html}
}

@online{kosaraAspectRatioBanking2013,
  title = {Aspect {{Ratio}} and {{Banking}} to 45 {{Degrees}}},
  author = {Kosara, Robert},
  date = {2013-06-03T04:17:30+00:00},
  url = {https://eagereyes.org/basics/banking-45-degrees},
  urldate = {2020-12-14},
  abstract = {The same data can look very different in a line chart depending on its aspect ratio. But what is the perfect shape for a chart? A square? A rectangle? Which rectangle? It depends on the data.},
  langid = {american},
  organization = {{Eagereyes}},
  file = {/Users/jdoughe2/Zotero/storage/57S629WT/banking-45-degrees.html}
}

@article{kramerHowConfuseStatistics2005,
  title = {How to {{Confuse}} with {{Statistics}} or: The {{Use}} and {{Misuse}} of {{Conditional Probabilities}}},
  shorttitle = {How to {{Confuse}} with {{Statistics}} Or},
  author = {Krämer, Walter and Gigerenzer, Gerd},
  date = {2005-08-01},
  journaltitle = {Statistical Science},
  shortjournal = {Statistical Science},
  volume = {20},
  number = {3},
  eprint = {20061177},
  eprinttype = {jstor},
  pages = {223--230},
  issn = {0883-4237},
  abstract = {This article shows by various examples how consumers of statistical information may be confused when this information is presented in terms of conditional probabilities. It also shows how this confusion helps others to lie with statistics, and it suggests both confusion and lies can be exposed by using alternative modes of conveying statistical information.},
  annotation = {ArticleType: research-article / Full publication date: Aug., 2005 / Copyright © 2005 Institute of Mathematical Statistics},
  file = {/Users/jdoughe2/Zotero/storage/4FAFHFBP/Krämer and Gigerenzer - 2005 - How to Confuse with Statistics or The Use and Mis.pdf}
}

@book{krumCoolInfographicsEffective2013,
  title = {Cool {{Infographics}}: Effective {{Communication}} with {{Data Visualization}} and {{Design}}},
  shorttitle = {Cool {{Infographics}}},
  author = {Krum, Randy},
  date = {2013-10-18},
  publisher = {{John Wiley \& Sons}},
  url = {http://books.google.com/books?isbn=1118582284},
  abstract = {Make information memorable with creative visual design techniquesResearch shows that visual information is more quickly and easily understood, and much more likely to be remembered. This innovative book presents the design process and the best software tools for creating infographics that communicate. Including a special section on how to construct the increasingly popular infographic resume, the book offers graphic designers, marketers, and business professionals vital information on the most effective ways to present data. Explains why infographics and data visualizations work Shares the tools and techniques for creating great infographicsCovers online infographics used for marketing, including social media and search engine optimization (SEO)Shows how to market your skills with a visual, infographic resumeExplores the many internal business uses of infographics, including board meeting presentations, annual reports, consumer research statistics, marketing strategies, business plans, and visual explanations of products and services to your customersWith Cool Infographics, you'll learn to create infographics to successfully reach your target audience and tell clear stories with your data.},
  isbn = {978-1-118-58228-2},
  langid = {english},
  pagetotal = {370},
  keywords = {Computers / Computer Graphics,Computers / Data Visualization}
}

@book{lankowInfographicsPowerVisual2012,
  title = {Infographics: The {{Power}} of {{Visual Storytelling}}},
  shorttitle = {Infographics},
  author = {Lankow, Jason and Ritchie, Josh and Crooks, Ross},
  date = {2012-08-27},
  publisher = {{John Wiley \& Sons}},
  url = {http://books.google.com/books?isbn=1118420063},
  abstract = {Transform your marketing efforts through the power of visual contentIn today's fast-paced environment, you must communicate your message in a concise and engaging way that sets it apart from the noise. Visual content—such as infographics and data visualization—can accomplish this. With DIY functionality, Infographics: The Power of Visual Storytelling will teach you how to find stories in your data, and how to visually communicate and share them with your audience for maximum impact.Infographics will show you the vast potential to using the communication medium as a marketing tool by creating informative and shareable infographic content.Learn how to explain an object, idea, or process using strong illustration that captures interest and provides instant clarityDiscover how to unlock interesting stories (in previously buried or boring data) and turn them into visual communications that will help build brands and increase salesUse the power of visual content to communicate with and engage your audience, capture attention, and expand your market.},
  isbn = {978-1-118-42006-5},
  langid = {english},
  pagetotal = {267},
  keywords = {Business & Economics / Marketing / General}
}

@book{lathropeOpenGovernmentCollaboration2010,
  title = {Open Government: [Collaboration, Transparency, and Participation in Practice]},
  shorttitle = {Open Government},
  author = {Lathrope, Daniel and Ruma, Laurel},
  date = {2010},
  publisher = {{O'Reilly}},
  location = {{Sebastopol, Calif}},
  abstract = {In a world where web services can make real-time data accessible to anyone, how can the government leverage this openness to improve its operations and increase citizen participation and awareness? Through a collection of essays and case studies, leading visionaries and practitioners both inside and outside of government share their ideas on how to achieve and direct this emerging world of online collaboration, transparency, and participation.},
  isbn = {0-596-80435-0 978-0-596-80435-0},
  langid = {english}
}

@article{lazerParableGoogleFlu2014,
  title = {The {{Parable}} of {{Google Flu}}: Traps in {{Big Data Analysis}}},
  shorttitle = {The Parable of {{Google}} Flu},
  author = {Lazer, David and Kennedy, Ryan and King, Gary and Vespignani, Alessandro},
  date = {2014},
  journaltitle = {Science},
  volume = {343},
  number = {6176},
  pages = {1203--1205},
  url = {http://gking.harvard.edu/files/gking/files/0314policyforumff.pdf},
  urldate = {2016-06-27},
  abstract = {Criticism of Google Flu Trends big data},
  file = {/Users/jdoughe2/Zotero/storage/KUNIXWJX/0314policyforumff.pdf}
}

@book{lubanovicIntroducingPythonModern2019,
  title = {Introducing {{Python}}: Modern {{Computing}} in {{Simple Packages}}},
  shorttitle = {Introducing {{Python}}},
  author = {Lubanovic, Bill},
  date = {2019-11-06},
  edition = {Second},
  eprint = {89W8DwAAQBAJ},
  eprinttype = {googlebooks},
  publisher = {{O'Reilly Media, Inc.}},
  abstract = {Easy to understand and fun to read, this updated edition of Introducing Python is ideal for beginning programmers as well as those new to the language. Author Bill Lubanovic takes you from the basics to more involved and varied topics, mixing tutorials with cookbook-style code recipes to explain concepts in Python 3. End-of-chapter exercises help you practice what you’ve learned.You’ll gain a strong foundation in the language, including best practices for testing, debugging, code reuse, and other development tips. This book also shows you how to use Python for applications in business, science, and the arts, using various Python tools and open source packages.},
  isbn = {978-1-4920-5132-9},
  langid = {english},
  pagetotal = {702},
  keywords = {Computers / Computer Science,Computers / Programming / Object Oriented,Computers / Programming Languages / Python,Computers / Software Development & Engineering / Tools,Computers / Web / Web Programming},
  file = {/Users/jdoughe2/Zotero/storage/4QIL67AS/Lubanovic - 2019 - Introducing Python Modern Computing in Simple Pac.pdf}
}

@article{luryeConsumerProtectionOfficial2021,
  title = {Consumer Protection Official Tapped to Lead Hartford Land Bank Says He’s Excited by Potential to Build Wealth in City’s Neighborhoods},
  author = {Lurye, Rebecca},
  date = {2021-07-10},
  journaltitle = {Hartford Courant},
  url = {https://www.courant.com/community/hartford/hc-news-hartford-land-bank-director-20210710-ac5mqvdd5zehhjioxrtniexewu-story.html},
  urldate = {2021-08-02},
  abstract = {The deputy commissioner of the state Department of Consumer Protection will soon take over as head of the year-old Hartford Land Bank, overseeing its fledgling work to alleviate blight in city neighborhoods.},
  entrysubtype = {newspaper},
  journalsubtitle = {Hartford},
  langid = {English (United States), en-US}
}

@article{luryeHartfordApartmentComplex2019,
  title = {Hartford Apartment Complex’s Murky Corporate Ownership Makes It Hard to Hold Anyone Accountable for Violations},
  author = {Lurye, Rebecca},
  date = {2019-05-21},
  journaltitle = {Hartford Courant},
  url = {https://www.courant.com/community/hartford/hc-news-hartford-barbour-gardens-criminal-charges-20190521-xv7ewtbgrrdtxd7kloxhxdu2mq-story.html},
  urldate = {2021-08-02},
  abstract = {Hartford officials are slowly untangling the mess of who owns Barbour Gardens, and who should be held responsible for neglecting the publicly-subsidized apartment complex.},
  entrysubtype = {newspaper},
  journalsubtitle = {Hartford, Breaking News},
  langid = {English (United States), en-US}
}

@article{luryeHartfordLandBank2021,
  title = {Hartford Land Bank’s first director, former city staffer, leaving Connecticut after 4 years of battling blight},
  author = {Lurye, Rebecca},
  date = {2021-01-12},
  journaltitle = {Hartford Courant},
  url = {https://www.courant.com/community/hartford/hc-news-hartford-land-bank-settlemyer-20210112-iqz2zjo5mjcv5ek2x5j2eaawv4-story.html},
  urldate = {2021-08-02},
  abstract = {The first executive director of the Hartford Land Bank is leaving her role, and Connecticut, just as the gears started turning at the non-profit corporation, which she spearheaded to address the city’s scourge of blighted, abandoned properties.},
  entrysubtype = {newspaper},
  journalsubtitle = {Hartford, Community, Connecticut},
  langid = {English (United States), en-US}
}

@article{luryeHartfordPreparesStart2021,
  title = {Hartford Prepares for Start of Rental Licensing Program Aimed at Uncovering Negligent Landlords, Hires New Blight Director},
  author = {Lurye, Rebecca},
  date = {2021-04-07},
  journaltitle = {Hartford Courant},
  url = {https://www.courant.com/community/hartford/hc-news-hartford-blight-housing-changes-20210407-cnhdbpon4jfqxgri3jn53rroz4-story.html},
  urldate = {2021-08-02},
  abstract = {The city of Hartford is hiring a new blight remediation director and preparing for the first phase of new rental licensing program designed to uncover and correct neglect in the city’s housing stock. New licensing program to be overseen by Judith Rothschild, new Blight Remediation Director; apartment buildings of 40+ units subject to new housing code starting in July 2021, passed in Oct 2019 to modernize rules and fees and out-of-state investors shirking responsibilities for poor conditions BLM 860 complaints about Avalon Village properties, owned by different LLCs that trace back to two entities sharing a NJ address: MSK Properties and Stratus Equities Under new code, city can demand new licensing application from any property owner with 5 or more violations within 90 dates Prospective license holders also required to provide name and address of each owner and operator, including controlling idnividual or managing member of any partnership, LLC, or corporation Prospective license holders will be requireed to file separate application for each parcel, and must show owner's driver's license or other state photo ID New licensing app required to increase number of room,s number of units, or number of people allowed per unit If city suspends license, owner cannot collect rent or evict tenants for not paying rent during that period Effective July 2021 for 40+ units 2022 for 10-39 units 2023 for 4-9 units 2024 for 3-family units},
  entrysubtype = {newspaper},
  journalsubtitle = {Hartford, Community},
  langid = {English (United States), en-US}
}

@article{luryeHartfordWillAdd2021,
  title = {Hartford Will Add Housing Inspectors to Handle Complaints About Landlords and Neglected Properties},
  author = {Lurye, Rebecca},
  date = {2021-05-31},
  journaltitle = {Hartford Courant},
  url = {https://www.courant.com/community/hartford/hc-news-hartford-housing-extra-inspector-20210531-byevk46gtrbl5amwjcfxt3r544-story.html},
  urldate = {2021-08-02},
  abstract = {New positions in the city department that responds to housing problems may allow Hartford to take a more proactive approach to holding landlords accountable, one that doesn’t rely as heavily on complaints from tenants. Dept of Development Services will have 8 inspectors; 2 new hired to be assigned to 40+ unit buildings, subject to new licensing program starting July 2021; 3rd inspector to work on cases in city's 311 call center and app Dept Director I. Charles Mathews wants to move away from complaint-driven system to proactive inspector system Hartford received 1084 housing code complaints thru 311 and issued 276 violation notices in second half of 2020 Council members W Bermudez and J Michtom favor proactive approach City has not responded to HC questions about complaints by Avalon Village properties},
  entrysubtype = {newspaper},
  journalsubtitle = {Hartford, Hartford, Connecticut},
  langid = {English (United States), en-US},
  file = {/Users/jdoughe2/Zotero/storage/2FCI4ZY3/hc-news-hartford-housing-extra-inspector-20210531-byevk46gtrbl5amwjcfxt3r544-story.html}
}

@article{luryeNewHousingCode2019,
  title = {New Housing Code in Hartford Would Keep Slumlords from Hiding Behind LLCs},
  author = {Lurye, Rebecca},
  date = {2019-05-31},
  journaltitle = {Hartford Courant},
  url = {https://www.courant.com/community/hartford/hc-news-hartford-housing-code-20190531-hcke2jo2x5fpdgz75xf4hlv2ki-story.html},
  urldate = {2021-08-02},
  abstract = {Inspired by a resident-led campaign against housing failures in Hartford’s poorest neighborhoods, city leaders are working to close municipal loopholes that allow anonymous slumlords to operate unchecked.},
  entrysubtype = {newspaper},
  journalsubtitle = {Hartford},
  langid = {English (United States), en-US}
}

@article{luryeOwnerHartfordHousing2019,
  title = {Owner of Hartford housing complex a no-show in court on fire safety code violations},
  author = {Lurye, Rebecca},
  date = {2019-05-07},
  journaltitle = {Hartford Courant},
  url = {https://www.courant.com/community/hartford/hc-news-hartford-barbour-gardens-court-20190507-qfy4j5aqybhy5fayddetadlrli-story.html},
  urldate = {2021-08-02},
  abstract = {A Hartford property owner who operates a derelict subsidized apartment complex from out of state sent a lawyer to criminal housing court in his place Tuesday, as his tenants continue to protest their unsafe and unsanitary living conditions.},
  entrysubtype = {newspaper},
  journalsubtitle = {Hartford, Breaking News},
  langid = {English (United States), en-US}
}

@article{luryeRoachesBrokenWindows2021,
  title = {Roaches, broken windows, no power. A family living in Hartford found little help from the landlord — or the city},
  author = {Lurye, Rebecca},
  date = {2021-03-15},
  journaltitle = {Hartford Courant},
  url = {https://www.courant.com/community/hartford/hc-news-hartford-bad-conditions-city-neglect-20210315-tdtvxr2bpjbbhpeey5quakkbja-story.html},
  urldate = {2021-08-02},
  abstract = {For a year, two sisters and their five children have languished in a neglected, Hartford apartment despite numerous complaints about the cockroach infestation, heat and power outages, broken appliances and other issues. The poor conditions they've lived with are all too common. Director of Licensing and Inspections, Elda Sinani, acknowledges it takes too long to close the case; her supervisor is interim Development Services Director I. Charles Mathews, nominated for permanent position City conducted more than 1500 virtual and in-person inspections since July 2020, and issues \$40k in fines But very little follow-through after initial city inspection CT Fair Housing Center says tenants often see no change after making complaints},
  entrysubtype = {newspaper},
  journalsubtitle = {Hartford, Community},
  langid = {English (United States), en-US}
}

@article{luryeSlumlordsHousingProfiteers2019,
  title = {Slumlords, housing profiteers have nowhere to hide under Hartford’s new rental licensing program},
  author = {Lurye, Rebecca},
  date = {2019-10-31},
  journaltitle = {Hartford Courant},
  url = {https://www.courant.com/community/hartford/hc-news-hartford-housing-code-20191031-icoovhj3drafvlgrysyc7uksqm-story.html},
  urldate = {2021-08-02},
  abstract = {Hartford has established a licensing program for apartment buildings, hotels and group homes as part of a new housing code that aims to correct and prevent neglect in the city’s rental stock.},
  entrysubtype = {newspaper},
  langid = {English (United States), en-US},
  file = {/Users/jdoughe2/Zotero/storage/APJS5I5P/hc-news-hartford-housing-code-20191031-icoovhj3drafvlgrysyc7uksqm-story.html}
}

@video{lytleVizomaticDangersGlitziness1993,
  title = {Viz-o-Matic: The {{Dangers}} of {{Glitziness}} and Other {{Visualization Faux Pas}}},
  editor = {Lytle, Wayne},
  date = {1993},
  url = {https://www.youtube.com/watch?v=fP-7rhb-qMg},
  urldate = {2017-02-12},
  abstract = {Short video about what not to do other YouTube references Viz-o-Matic by Wayne Lytle - Cornell University Theory Center, 1993. https://www.youtube.com/watch?v=qzkFRpY7Tyc},
  editortype = {director},
  keywords = {scientific,visualization}
}

@incollection{mahoneyOpenDataOpen2013,
  title = {Open {{Data}} and {{Open Discourse}} at {{Boston Public Schools}}},
  booktitle = {Beyond {{Transparency}}: Open {{Data}} and the {{Future}} of {{Civic Innovation}}},
  author = {Mahoney, Joel},
  editor = {Goldstein, Brett and Dyson, Lauren},
  date = {2013-10-16},
  publisher = {{Code for America Press}},
  location = {{San Francisco, Calif.}},
  url = {http://beyondtransparency.org/},
  abstract = {The rise of open data in the public sector has sparked innovation, driven efficiency, and fueled economic development. While still emerging, we are seeing evidence of the transformative potential of open data in shaping the future of our civic life, and the opportunity to use open data to reimagine the relationship between residents and government, especially at the local level. As we look ahead, what have we learned so far from open data in practice and how we can apply those lessons to realize a more promising future for America’s cities and communities?  Edited by Brett Goldstein, former Chief Data Officer for the City of Chicago, with Code for America, this book features essays from over twenty of the world’s leading experts in a first-of-its-kind instructive anthology about how open data is changing the face of our public institutions.   Contributors include:   Michael Flowers, Chief Analytics Officer, New York City Beth Blauer, former director of Maryland StateStat Jonathan Feldman, CIO, City of Asheville Tim O’Reilly, founder \& CEO, O’Reilly Media Eric Gordon, Director of Engagement Game Lab, Emerson College Beth Niblock, CIO, Louisville Metro Government Ryan \& Mike Alfred, Co-Founders, Brightscope Emer Coleman, former director of the London Datastore Mark Headd, Chief Data Officer, City of Philadelphia    “As an essential volume for anyone interested in the future of governance, urban policy, design, data-driven policymaking, journalism, or civic engagement, "Beyond Transparency" combines the inspirational glow and political grit of Profiles in Courage with the clarity of an engineer's calm explanation of how something technical actually works. Here are the detailed how-to stories of many members of the first generation of open government pioneers, written in a generous, accessible style; this compilation presents us with a great deal to admire, ample provocation, and wise guidance from a group of remarkable individuals.”  —Susan Crawford, author of Captive Audience   “Just as he did during his time in my administration, Goldstein has brought together industry leaders to discuss issues of relevance in the open data movement and the practical implications of implementing these policies… This book will help continue the work to make open government a reality across the country.”  — Mayor Rahm Emanuel, City of Chicago   “A must-read for anyone who is passionate about what open data can do to transform city living.”  — Boris Johnson, Mayor of London},
  isbn = {978-0-615-88908-5}
}

@online{MayorSegarraOrders2014,
  title = {Mayor {{Segarra Orders Release}} of {{Raw City Data}} to {{Increase Transparency}} for the {{City}} of {{Hartford}}},
  date = {2014-03-27},
  url = {http://www.hartford.gov/pressroom/1200-mayor-segarra-orders-release-of-raw-city-data-to-increase-transparency-for-the-city-of-hartford},
  urldate = {2014-03-28},
  abstract = {"In an effort to increase transparency and efficiency, Hartford Mayor Pedro E. Segarra announced today that he has signed an executive order mandating all city departments to publish raw government data on the city’s website. The executive order authorizes collection of the data by the Chief Information Officer who will manage and update the information regularly. To kick off the effort, twenty data sets will be released in the next several months including financial, budget, assessors, tax, grand list, and health and human services information"},
  organization = {{City of Hartford}},
  file = {/Users/jdoughe2/Zotero/storage/IRDRK8KP/executive_order_open_data.pdf;/Users/jdoughe2/Zotero/storage/NMV6QK2G/1200-mayor-segarra-orders-release-of-raw-city-data-to-increase-transparency-for-the-city-of-har.html}
}

@book{meirellesDesignInformationIntroduction2013,
  title = {Design for {{Information}}: An {{Introduction}} to the {{Histories}}, {{Theories}}, and {{Best Practices Behind Effective Information Visualizations}}},
  shorttitle = {Design for {{Information}}},
  author = {Meirelles, Isabel},
  date = {2013-10-01},
  publisher = {{Rockport Publishers}},
  url = {http://isabelmeirelles.com/book-design-for-information/},
  abstract = {The visualization process doesn't happen in a vacuum; it is grounded in principles and methodologies of design, cognition, perception, and human-computer-interaction that are combined to one's personal knowledge and creative experiences. Design for Information~critically examines other design solutions --current and historic-- helping you gain a larger understanding of how to solve specific problems. This book is designed to help you foster the development of a repertoire of existing methods and concepts to help you overcome design problems. ~ Learn the ins and outs of data visualization with this informative book that provides you with a series of current visualization case studies. The visualizations discussed are analyzed for their design principles and methods, giving you valuable critical and analytical tools to further develop your design process. The case study format of this book is perfect for discussing ~the histories, theories and best practices in the field through real-world, effective visualizations. The selection represents a fraction of effective visualizations that we encounter in this burgeoning field, allowing you the opportunity to extend your study to other solutions in your specific field(s) of practice. This book is also helpful to students in other disciplines who are involved with visualizing information, such as those in the digital humanities and most of the sciences.},
  isbn = {978-1-59253-806-5},
  langid = {english},
  pagetotal = {227},
  keywords = {Design / Graphic Arts / Commercial & Corporate,Design / History & Criticism}
}

@online{menascehorowitzTrendsIncomeWealth2020,
  title = {Trends in {{U}}.{{S}}. Income and Wealth Inequality},
  author = {Menasce Horowitz, Julia and Igielnik, Ruth and Kochhar, Rakesh},
  date = {2020-01-09T14:51:03+00:00},
  url = {https://www.pewsocialtrends.org/2020/01/09/trends-in-income-and-wealth-inequality/},
  urldate = {2020-09-17},
  abstract = {Barely 10 years past the end of the Great Recession in 2009, the U.S. economy is doing well on several fronts. The labor market is on a job-creating},
  langid = {american},
  organization = {{Pew Research Center’s Social \& Demographic Trends Project}},
  annotation = {http://web.archive.org/web/20200917134545/https://www.pewsocialtrends.org/2020/01/09/trends-in-income-and-wealth-inequality/}
}

@book{millerChicagoGuideWriting2015,
  title = {The {{Chicago Guide}} to {{Writing}} about {{Numbers}}, {{Second Edition}}},
  author = {Miller, Jane E.},
  date = {2015-04-09},
  eprint = {CLnnBgAAQBAJ},
  eprinttype = {googlebooks},
  publisher = {{University of Chicago Press}},
  url = {https://www.google.com/books/edition/The_Chicago_Guide_to_Writing_about_Numbe/CLnnBgAAQBAJ},
  abstract = {Earning praise from scientists, journalists, faculty, and students, The Chicago Guide to Writing about Numbers has helped thousands of writers communicate data clearly and effectively. Its publication offered a much-needed bridge between good quantitative analysis and clear expository writing, using straightforward principles and efficient prose. With this new edition, Jane Miller draws on a decade of additional experience and research, expanding her advice on reaching everyday audiences and further integrating non-print formats. Miller, an experienced teacher of research methods, statistics, and research writing, opens by introducing a set of basic principles for writing about numbers, then presents a toolkit of techniques that can be applied to prose, tables, charts, and presentations. Throughout the book, she emphasizes flexibility, showing writers that different approaches work for different kinds of data and different types of audiences.  The second edition adds a chapter on writing about numbers for lay audiences, explaining how to avoid overwhelming readers with jargon and technical issues. Also new is an appendix comparing the contents and formats of speeches, research posters, and papers, to teach writers how to create all three types of communication without starting each from scratch. An expanded companion website includes new multimedia resources such as slide shows and podcasts that illustrate the concepts and techniques, along with an updated study guide of problem sets and suggested course extensions.  This continues to be the only book that brings together all the tasks that go into writing about numbers, integrating advice on finding data, calculating statistics, organizing ideas, designing tables and charts, and writing prose all in one volume. Field-tested with students and professionals alike, this holistic book is the go-to guide for everyone who writes or speaks about numbers.},
  isbn = {978-0-226-18580-4},
  langid = {english},
  pagetotal = {431},
  keywords = {Business & Economics / General,Mathematics / General,Reference / General,Social Science / General}
}

@book{monmonierHowLieMaps1996,
  title = {How to {{Lie}} with {{Maps}}},
  author = {Monmonier, Mark S.},
  date = {1996-01},
  edition = {2},
  publisher = {{University of Chicago Press}},
  url = {http://books.google.com/books?isbn=0226534219},
  abstract = {Originally published to wide acclaim, this lively, cleverly illustrated essay on the use and abuse of maps teaches us how to evaluate maps critically and promotes a healthy skepticism about these easy-to-manipulate models of reality. Monmonier shows that, despite their immense value, maps lie. In fact, they must.  The second edition is updated with the addition of two new chapters, 10 color plates, and a new foreword by renowned geographer H. J. de Blij. One new chapter examines the role of national interest and cultural values in national mapping organizations, including the United States Geological Survey, while the other explores the new breed of multimedia, computer-based maps.  To show how maps distort, Monmonier introduces basic principles of mapmaking, gives entertaining examples of the misuse of maps in situations from zoning disputes to census reports, and covers all the typical kinds of distortions from deliberate oversimplifications to the misleading use of color.  "Professor Monmonier himself knows how to gain our attention; it is not in fact the lies in maps but their truth, if always approximate and incomplete, that he wants us to admire and use, even to draw for ourselves on the facile screen. His is an artful and funny book, which like any good map, packs plenty in little space."—Scientific American  "A useful guide to a subject most people probably take too much for granted. It shows how map makers translate abstract data into eye-catching cartograms, as they are called. It combats cartographic illiteracy. It fights cartophobia. It may even teach you to find your way. For that alone, it seems worthwhile."—Christopher Lehmann-Haupt, The New York Times  ". . . witty examination of how and why maps lie. [The book] conveys an important message about how statistics of any kind can be manipulated. But it also communicates much of the challenge, aesthetic appeal, and sheer fun of maps. Even those who hated geography in grammar school might well find a new enthusiasm for the subject after reading Monmonier's lively and surprising book."—Wilson Library Bulletin  "A reading of this book will leave you much better defended against cheap atlases, shoddy journalism, unscrupulous advertisers, predatory special-interest groups, and others who may use or abuse maps at your expense."—John Van Pelt, Christian Science Monitor  "Monmonier meets his goal admirably. . . . [His] book should be put on every map user's 'must read' list. It is informative and readable . . . a big step forward in helping us to understand how maps can mislead their readers."—Jeffrey S. Murray, Canadian Geographic},
  isbn = {978-0-226-53421-3},
  langid = {english},
  pagetotal = {230},
  keywords = {Reference / General,Science / Earth Sciences / Geography,Technology & Engineering / Cartography},
  file = {/Users/jdoughe2/Zotero/storage/2WS62BQ7/Monmonier1996-p39-42.pdf}
}

@book{monmonierHowLieMaps2018,
  title = {How to {{Lie}} with {{Maps}}, {{Third Edition}}},
  author = {Monmonier, Mark},
  date = {2018-04-13},
  eprint = {MwdRDwAAQBAJ},
  eprinttype = {googlebooks},
  publisher = {{University of Chicago Press}},
  url = {https://www.google.com/books/edition/How_to_Lie_with_Maps_Third_Edition/MwdRDwAAQBAJ},
  abstract = {An instant classic when first published in 1991, How to Lie with Maps revealed how the choices mapmakers make—consciously or unconsciously—mean that every map inevitably presents only one of many possible stories about the places it depicts. The principles Mark Monmonier outlined back then remain true today, despite significant technological changes in the making and use of maps. The introduction and spread of digital maps and mapping software, however, have added new wrinkles to the ever-evolving landscape of modern mapmaking.  \hspace{0pt}Fully updated for the digital age, this new edition of How to Lie with Maps examines the myriad ways that technology offers new opportunities for cartographic mischief, deception, and propaganda. While retaining the same brevity, range, and humor as its predecessors, this third edition includes significant updates throughout as well as new chapters on image maps, prohibitive cartography, and online maps. It also includes an expanded section of color images and an updated list of sources for further reading.},
  isbn = {978-0-226-43608-1},
  langid = {english},
  pagetotal = {250},
  keywords = {Technology & Engineering / Cartography,Technology & Engineering / General}
}

@article{monmonierLyingMaps2005,
  title = {Lying with {{Maps}}},
  author = {Monmonier, Mark},
  date = {2005-08-01},
  journaltitle = {Statistical Science},
  shortjournal = {Statistical Science},
  volume = {20},
  number = {3},
  eprint = {20061176},
  eprinttype = {jstor},
  pages = {215--222},
  issn = {0883-4237},
  abstract = {Darrell Huff's "How to Lie with Statistics" was the inspiration for "How to Lie with Maps", in which the author showed that geometric distortion and graphic generalization of data are unavoidable elements of cartographic representation. New examples of how ill-conceived or deliberately contrived statistical maps can greatly distort geographic reality demonstrate that lying with maps is a special case of lying with statistics. Issues addressed include the effects of map scale on geometry and feature selection, the importance of using a symbolization metaphor appropriate to the data and the power of data classification to either reveal meaningful spatial trends or promote misleading interpretations.},
  annotation = {ArticleType: research-article / Full publication date: Aug., 2005 / Copyright © 2005 Institute of Mathematical Statistics},
  file = {/Users/jdoughe2/Zotero/storage/95KFZ8ZP/Monmonier - 2005 - Lying with Maps.pdf}
}

@online{mullenHowMakePrudent2013,
  title = {How to {{Make Prudent Choices About Your Tools}}},
  author = {Mullen, Lincoln},
  date = {2013-08-14},
  url = {https://lincolnmullen.com/blog/how-to-make-prudent-choices-about-your-tools/},
  organization = {{ProfHacker}}
}

@misc{murrayDataWalksInnovative2015,
  title = {Data {{Walks}}: An {{Innovative Way}} to {{Share Data}} with {{Communities}}},
  author = {Murray, Brittany and Falkenburger, Elsa and Saxena, Priya},
  date = {2015-11},
  publisher = {{Urban Institute}},
  url = {https://www.urban.org/sites/default/files/publication/72906/2000510-data-walks-an-innovative-way-to-share-data-with-communities.pdf},
  langid = {english},
  file = {/Users/jdoughe2/Zotero/storage/5G233AWL/Murray - Data Walks An Innovative Way to Share Data with C.pdf}
}

@article{murrayHowAccuseOther2005,
  title = {How to {{Accuse}} the {{Other Guy}} of {{Lying}} with {{Statistics}}},
  author = {Murray, Charles},
  date = {2005-08-01},
  journaltitle = {Statistical Science},
  shortjournal = {Statistical Science},
  volume = {20},
  number = {3},
  eprint = {20061179},
  eprinttype = {jstor},
  pages = {239--241},
  issn = {0883-4237},
  abstract = {We've known how to lie with statistics for 50 years now. What we really need are theory and praxis for accusing someone else of lying with statistics. The author's experience with the response to "The Bell Curve" has led him to suspect that such a formulation already exists, probably imparted during a secret initiation for professors in the social sciences. This article represents his best attempt to reconstruct what must be in it.},
  annotation = {ArticleType: research-article / Full publication date: Aug., 2005 / Copyright © 2005 Institute of Mathematical Statistics},
  file = {/Users/jdoughe2/Zotero/storage/HUHEM8ZH/Murray - 2005 - How to Accuse the Other Guy of Lying with Statisti.pdf}
}

@book{murrayInteractiveDataVisualization2013,
  title = {Interactive {{Data Visualization}} for the {{Web}}},
  author = {Murray, Scott},
  date = {2013-03-15},
  publisher = {{O'Reilly Media, Inc.}},
  url = {http://books.google.com/books?isbn=1449339735},
  abstract = {Create and publish your own interactive data visualization projects on the Web, even if you have no experience with either web development or data visualization. It’s easy with this hands-on guide. You’ll start with an overview of data visualization concepts and simple web technologies, and then learn how to use D3, a JavaScript library that lets you express data as visual elements in a web page. Interactive Data Visualization for the Web makes these skills available at an introductory level for designers and visual artists without programming experience, journalists interested in the emerging data journalism processes, and others keenly interested in visualization and publicly available data sources.  Get a practical introduction to data visualization, accessible for beginners Focus on web-based tools that help you publish your creations quickly to a wide audience Learn about interactivity so you can engage users in exploring your data},
  isbn = {978-1-4493-3973-9},
  langid = {english},
  pagetotal = {269},
  keywords = {Computers / Data Modeling & Design,Computers / Data Processing,Computers / General,Computers / Programming / General,Computers / Programming Languages / HTML,Computers / Programming Languages / JavaScript,Computers / Web / General,Computers / Web / Web Programming}
}

@online{nasaGlobalSurfaceTemperature2020,
  title = {Global {{Surface Temperature}}},
  author = {{NASA}},
  date = {2020},
  url = {https://climate.nasa.gov/vital-signs/global-temperature},
  urldate = {2020-10-01},
  abstract = {Vital Signs of the Planet: Global Climate Change and Global Warming. Current news and data streams about global warming and climate change from NASA.},
  organization = {{Climate Change: Vital Signs of the Planet}},
  annotation = {http://web.archive.org/web/20201001152737/https://climate.nasa.gov/vital-signs/global-temperature/},
  file = {/Users/jdoughe2/Zotero/storage/MBKM3L3V/global-temperature.html}
}

@online{nasajplEducatorGuideGraphing2017,
  title = {Educator {{Guide}}: Graphing {{Global Temperature Trends}}},
  shorttitle = {Educator {{Guide}}},
  author = {{NASA JPL}},
  date = {2017},
  url = {https://www.jpl.nasa.gov/edu/teach/activity/graphing-global-temperature-trends/},
  urldate = {2020-10-01},
  abstract = {Students use global temperature data to create models and compare short-term trends to long-term trends.},
  annotation = {http://web.archive.org/web/20201001152732/https://www.jpl.nasa.gov/edu/teach/activity/graphing-global-temperature-trends/},
  file = {/Users/jdoughe2/Zotero/storage/9LUEN2MU/graphing-global-temperature-trends.html}
}

@article{newmanSellingGumHealth2009,
  title = {Selling {{Gum With Health Claims}}},
  author = {Newman, Andrew Adam},
  date = {2009-07-27T17:29:20-04:00},
  journaltitle = {The New York Times},
  issn = {0362-4331},
  url = {https://www.nytimes.com/2009/07/28/business/media/28adco.html},
  urldate = {2020-11-04},
  abstract = {Revenue for sugarless gums, some that proclaim health benefits, is climbing, and analysts expect the field to grow further.  "THE slogan for Trident in the 1970s  “four out of five dentists surveyed recommend sugarless gums for their patients who chew gum”  typified how sugarless gum was marketed for decades after Trident, now a division of Cadbury North America, first introduced a saccharine-sweetened gum in 1964. Those much-cited dentists were saying not that sugar-free was good, of course, as much as preferable to regular gum."},
  entrysubtype = {newspaper},
  journalsubtitle = {Business},
  langid = {american},
  keywords = {Advertising and Marketing,Chewing Gum,Teeth and Dentistry,Wrigley; Wm Jr; Co},
  file = {/Users/jdoughe2/Zotero/storage/ANCLF7K9/28adco.html}
}

@article{nortonBuildingBetterAmericaOne2011,
  title = {Building a {{Better America}}-{{One Wealth Quintile}} at a {{Time}}},
  author = {Norton, Michael I. and Ariely, Dan},
  date = {2011-01},
  journaltitle = {Perspectives on Psychological Science: A Journal of the Association for Psychological Science},
  shortjournal = {Perspect Psychol Sci},
  volume = {6},
  number = {1},
  eprint = {26162108},
  eprinttype = {pmid},
  pages = {9--12},
  issn = {1745-6916},
  doi = {10.1177/1745691610393524},
  url = {https://pubmed.ncbi.nlm.nih.gov/26162108/},
  abstract = {Disagreements about the optimal level of wealth inequality underlie policy debates ranging from taxation to welfare. We attempt to insert the desires of "regular" Americans into these debates, by asking a nationally representative online panel to estimate the current distribution of wealth in the United States and to "build a better America" by constructing distributions with their ideal level of inequality. First, respondents dramatically underestimated the current level of wealth inequality. Second, respondents constructed ideal wealth distributions that were far more equitable than even their erroneously low estimates of the actual distribution. Most important from a policy perspective, we observed a surprising level of consensus: All demographic groups-even those not usually associated with wealth redistribution such as Republicans and the wealthy-desired a more equal distribution of wealth than the status quo.},
  langid = {english},
  keywords = {fairness,income,inequality,justice,political ideology,wealth},
  file = {/Users/jdoughe2/Zotero/storage/BLSSTPF2/Norton and Ariely - 2011 - Building a Better America-One Wealth Quintile at a.pdf}
}

@book{noveckWikiGovernmentHow2009,
  title = {Wiki Government: How Technology Can Make Government Better, Democracy Stronger, and Citizens More Powerful},
  shorttitle = {Wiki Government},
  author = {Noveck, Beth Simone},
  date = {2009},
  publisher = {{Brookings Institution Press}},
  location = {{Washington, D.C.}},
  abstract = {"In explaining how to enhance political institutions with the power of networks, examines the Peer-to-Patent project. Discusses its design challenges faced in creating software to distill online collaboration into useful expertise. Explains how law, policy, and technology can be revamped to help government work in more open, participatory ways"--Provided by publisher.},
  isbn = {978-0-8157-0275-7 0-8157-0275-2 978-0-8157-0510-9 0-8157-0510-7},
  langid = {english}
}

@online{oettingDataVisualization101,
  title = {Data {{Visualization}} 101: How to {{Choose}} the {{Right Chart}} or {{Graph}} for {{Your Data}}},
  shorttitle = {Data {{Visualization}} 101},
  author = {Oetting, Jami},
  url = {https://blog.hubspot.com/marketing/data-visualization-choosing-chart},
  urldate = {2017-01-08},
  abstract = {One of the struggles that slows down my own reporting and analysis is understanding what type of chart to use and why. Learn how to choose the right chart or graph to visualize your data.},
  file = {/Users/jdoughe2/Zotero/storage/Z8M29X3U/data-visualization-choosing-chart.html}
}

@online{OnlineToolHelp2014,
  title = {Online Tool to Help Find Better {{Section}} 8 Housing Wins Contest},
  date = {2014-04-30},
  url = {http://www.stateofdisparity.org/?p=451},
  urldate = {2014-05-05},
  abstract = {Housing Mobility Map CT Mirror Hackathon Open Communities Alliance},
  organization = {{State of Disparity}},
  file = {/Users/jdoughe2/Zotero/storage/XK5TT9GX/www.stateofdisparity.org.html}
}

@article{pappanoYearMOOC2012,
  title = {The {{Year}} of the {{MOOC}}},
  author = {Pappano, Laura},
  date = {2012-11-02},
  journaltitle = {The New York Times},
  issn = {0362-4331},
  url = {http://www.nytimes.com/2012/11/04/education/edlife/massive-open-online-courses-are-multiplying-at-a-rapid-pace.html},
  urldate = {2017-02-21},
  abstract = {Massive open online courses are the educational happening of the moment. Everyone wants in. No one is quite sure what they’re getting into.},
  entrysubtype = {newspaper},
  keywords = {Colleges and Universities,Computers and the Internet,Coursera Inc,Crowdsourcing (Internet),E-Learning,EdX,Social Networking (Internet),Udacity},
  file = {/Users/jdoughe2/Zotero/storage/VQ6PHSV4/massive-open-online-courses-are-multiplying-at-a-rapid-pace.html}
}

@report{patelEmergenceCivicTech2013,
  title = {The {{Emergence}} of {{Civic Tech}}: Investments in a {{Growing Field}}},
  author = {Patel, Mayur and Sotsky, John and Gourley, Sean and Houghton, Daniel},
  date = {2013-12},
  institution = {{Knight Foundation}},
  url = {http://www.slideshare.net/knightfoundation/knight-civictech}
}

@article{perlmannPieceEducationalPie1987,
  title = {A {{Piece}} of the {{Educational Pie}}: Reflections and {{New Evidence}} on {{Black}} and {{Immigrant Schooling}} since 1880},
  author = {Perlmann, Joel},
  date = {1987},
  journaltitle = {Sociology of Education},
  volume = {60},
  pages = {54--61},
  abstract = {Immigration and Social HistoryAuthor asks whether his study of blacks and immigrants in Providence, RI supports the findings of Lieberson, A Piece of the Pie, 1980. When the author wrote a 1986 article he studied Lieberson carefully but made only marginal reference to his important work. Author reviews Lieberson's major points on educational attainment from 20thC national census records on highest grade achieved: Native-born children of recent immigrants had similar rates of advancement to Northern-born blacks early in the century, but immigrant children pulled ahead sometime around 1925 to WWII. The 'cultural legacy of slavery' theory does not explain this evidence (since it happened later, not earlier), nor does Black family structure. However, the economic well-being of both groups as well as feedback mechanisms for blacks (the realization that schooling would not pay off as it had for whites) strongly affected educational attainments. Author reviews how his own work supports many of Lieberson's themes:  [author's sources: individual-level data on Providence students US census manuscript data from 1880 and 1900 combined with state census of 1915 and 1925, then matched with school records and occupational records.] On economic well-being: In comparing the odds of native and immigrant whites enrolling in school to blacks, controlling for family structure makes little difference but controlling for economic background among low manual skilled workers' families makes a substantial difference. "Blacks' rates of high school entry in this critical subgroup of the population were well within the range of whites' rates." p56, supporting Leiberson's pre-1925 claim that blacks once had a favorable position in education. On cultural differences: A comparison of the educational attainment of low-manual workers' Italian and Black sons of similar SES background shows that they had similar levels at the turn of the century, but the Italians later pulled ahead. "The black sons were muc less likely to have been involved in child labor, much more likely to enter high school, and received GPAs roughly comparable to those of the Italians. But when educational attainment is controlled, we find that the black men held jobs that were sharply less attractive than the jobs held by the Italians." 57 The contrast between occupational position and educational position confirms Lieberson's conclusions. [*Here I did not follow the argument - JD] The child labor data complicates the cultural legacy of slavery theory, however, because job discrimination against Black children cannot be distinguished statistically from families' desire to keep black children in school.  GPA data bypass the problem since they were not increased by job discrimination, and since black educational attainment was comparable to Italians' but their occupational attainment was lower, it would seem to refute the cultural legacy of slavery theory.  However, can any cultural theory be ruled out? "Cultural hypotheses can nearly always be reformulated in a way that fits the evidence, and in their form and uses they bear a discomforting relationship to biological arguments that should give anyone pause."58 One possible reformulation draws from Olneck and Lazerson 1980 and explains the black-Italian comparison by claiming that "...American schooling was not regarded highly by the first and second generations of Italians and that socioeconomic advances were made in jobs that did not require extended schooling."58 These Italians, it follows, perceived schooling to be central at a later point, but Blacks were affected by a cultural slavery legacy that affected both the educational and occupational spheres. Author does not claim that the above cultural explanation is superior to Lieberson's economic well-being explanation, but instead points out the difficulty of ruling out cultural explanations entirely. However, not ruling something out is very different from embracing it in support.  Author returns to Lieberson's brief and overlooked cultural explanation of feedback mechanisms on blacks in Northern social conditions (for example, how job discrimination could lead to reevaluating schooling as a means for getting ahead). Author states that Lieberson is ambiguous about whether feedback explanation means blacks acted accordingly with regard to education or whether job discrimination caused them to undervalue it. Author argues that readers should read Lieberson's words on cultural explanations carefully: he claims that cultural attributes from slavery were inconsequential in 20thC, but his brief mention of feedback mechanisms for Northern blacks did not render all cultural explanations inconsequential. [* I'm not sure what overall impression the author intended for the reader with this article. For me, it seemed to highlight the potential for  specific forms of cultural explanations in educational attainment studies, but it also left me wondering why examples of 'feedback mechanisms' were limited to blacks' Northern experiences with job discrimination. Why are there no other forms of cultural feedback, among immigrants or among Southern blacks, or in different spheres? The author certainly seems cautious about falling into a 'culture of poverty' explanation for 20thC black educational achievement, and his attempt to discuss cultural explanations in this context stuck me as unsuccessful and limited. -JD]},
  keywords = {Ed History,MTOS}
}

@book{pikettyEconomicsInequality2015,
  title = {The {{Economics}} of {{Inequality}}},
  author = {Piketty, Thomas},
  date = {2015-08-03},
  publisher = {{Harvard University Press}},
  url = {https://doi.org/10.4159/9780674915565},
  urldate = {2020-09-14},
  abstract = {Succinct, accessible, and authoritative, Thomas Piketty’s  \emph{The Economics of Inequality} is the ideal place to start for those who want to understand the fundamental issues at the heart of one the most pressing concerns in contemporary economics and politics. This work now appears in English for the first time.},
  isbn = {978-0-674-91556-5},
  langid = {english},
  annotation = {http://web.archive.org/web/20200914173733/https://hup.degruyter.com/view/title/514686},
  file = {/Users/jdoughe2/Zotero/storage/TD9ABN8D/Piketty - 2015 - The Economics of Inequality.pdf;/Users/jdoughe2/Zotero/storage/4VQATLXR/514686.html}
}

@article{radelatAdvocatesHopeStimulus2020,
  title = {Advocates Hope Stimulus Bill Gives {{U}}.{{S}}. {{Census Bureau}} More Time to Finish Its Count},
  author = {Radelat, Ana},
  date = {2020-08-04T09:00:21+00:00},
  journaltitle = {The CT Mirror},
  url = {https://ctmirror.org/2020/08/04/advocates-hope-stimulus-bill-gives-u-s-census-bureau-more-time-to-finish-its-count/},
  urldate = {2020-08-05},
  abstract = {Hartford, Bridgeport and Waterbury have some of the lowest response rates in the nation. In fact, Hartford has the lowest response rate of any city in the nation. As of Monday, Hartford’s response rate was 44.6 \%, Bridgeport’s rate was 49.1 \% New Haven’s was 50.5 \% and Waterbury’s was 51.4 \%.},
  entrysubtype = {newspaper},
  journalsubtitle = {Politics},
  langid = {american},
  file = {/Users/jdoughe2/Zotero/storage/FDKZIMUH/advocates-hope-stimulus-bill-gives-u-s-census-bureau-more-time-to-finish-its-count.html}
}

@online{rossiterWhatAreCensus2011,
  title = {What Are Census Blocks?},
  author = {Rossiter, Katy},
  date = {2011-07-11},
  url = {https://www.census.gov/newsroom/blogs/random-samplings/2011/07/what-are-census-blocks.html},
  urldate = {2021-03-07},
  abstract = {Census blocks are: – The building blocks for all geographic boundaries the Census Bureau tabulates data for, such as tracts, places, and American Indian Reservations.},
  langid = {american},
  organization = {{US Census Bureau}},
  file = {/Users/jdoughe2/Zotero/storage/9THTVSR3/what-are-census-blocks.html}
}

@online{rostHowPickMore2020,
  title = {How to {{Pick More Beautiful Colors}} for {{Your Data Visualizations}}},
  author = {Rost, Lisa Charlotte},
  date = {2020-09-04T13:16:21},
  url = {https://blog.datawrapper.de/beautifulcolors/index.html},
  urldate = {2020-10-21},
  abstract = {Choosing good colors for your charts is hard. This article tries to make it easier.},
  langid = {english},
  organization = {{DataWrapper Blog}}
}

@online{rostHowPrepareYour2019,
  title = {How to {{Prepare Your Data}} for {{Analysis}} and {{Charting}} in {{Excel}} \& {{Google Sheets}}},
  author = {Rost, Lisa Charlotte},
  date = {2019-10-23T08:39:21},
  url = {https://blog.datawrapper.de/prepare-and-clean-up-data-for-data-visualization/index.html},
  urldate = {2020-08-28},
  abstract = {The methods and Excel formulas you'll need most often to get your data ready to analyze or plug into Datawrapper.},
  langid = {english},
  organization = {{Datawrapper Blog}},
  annotation = {http://web.archive.org/web/20200828191442/https://blog.datawrapper.de/prepare-and-clean-up-data-for-data-visualization/index.html},
  file = {/Users/jdoughe2/Zotero/storage/2W7JETZV/prepare-and-clean-up-data-for-data-visualization.html}
}

@online{rostWhatConsiderWhen2020,
  title = {What to {{Consider When Considering Data Vis Rules}}},
  author = {Rost, Lisa Charlotte},
  date = {2020-11-27},
  url = {https://lisacharlotterost.de/datavisrules},
  urldate = {2020-12-14},
  organization = {{Lisa Charlotte Rost}},
  file = {/Users/jdoughe2/Zotero/storage/4HWMCJ2S/datavisrules.html}
}

@online{rostWhatLearnedRecreating2016,
  title = {What {{I Learned Recreating One Chart Using}} 24 {{Tools}}},
  author = {Rost, Lisa Charlotte},
  date = {2016-12-08},
  url = {https://source.opennews.org/en-US/articles/what-i-learned-recreating-one-chart-using-24-tools/},
  urldate = {2017-02-05},
  organization = {{Source}},
  file = {/Users/jdoughe2/Zotero/storage/9KQF5E4T/what-i-learned-recreating-one-chart-using-24-tools.html}
}

@online{rostYourFriendlyGuide2018,
  title = {Your {{Friendly Guide}} to {{Colors}} in {{Data Visualisation}}},
  author = {Rost, Lisa Charlotte},
  date = {2018-07-31},
  url = {https://blog.datawrapper.de/colorguide/},
  urldate = {2017-02-05},
  organization = {{Datawrapper Blog}},
  file = {/Users/jdoughe2/Zotero/storage/SGIHBA3X/Colors-for-DataVis.html}
}

@misc{rothbaumCoronavirusInfectsSurveys2020,
  title = {Coronavirus {{Infects Surveys}}, {{Too}}: Nonresponse {{Bias During}} the {{Pandemic}} in the {{CPS ASEC}}},
  shorttitle = {Coronavirus {{Infects Surveys}}, {{Too}}},
  author = {Rothbaum, Jonathan and Bee, Adam},
  year = {Setember 15, 2020},
  publisher = {{US Census Bureau}},
  url = {https://www.census.gov/library/working-papers/2020/demo/SEHSD-WP2020-10.html},
  urldate = {2020-12-08},
  abstract = {The Coronavirus pandemic has had wide-ranging impacts on the lives and well-being of individuals and households.  Surveys of those individuals and households are an important input into understanding the effects of the pandemic.  However, survey operations themselves have also been affected by the pandemic.  We evaluate how response in the Current Population Survey Annual Social and Economic Supplement (CPS ASEC) was affected by COVID-19.  We link addresses in the survey (for both respondents and nonrespondents) to administrative and prior decennial census and survey data to assess nonresponse.  We show that survey nonresponse was unique in the 2020 CPS ASEC – nonresponse increased substantially and was more strongly associated with income than in prior years.  In addition, response patterns changed by education, Hispanic origin, and citizenship and nativity.  We use inverse probability weights to correct for potential nonresponse bias in the 2017 through 2020 CPS ASEC.  In 2020, this nonresponse biased income estimates up and poverty statistics down.  From the survey, real median household income was \$68,700 in 2019, up 6.8 percent from 2018.  After adjusting for nonresponse bias, we estimate that real median household income in 2019 was 2.8 percent lower than the survey estimate at \$66,790.  With the nonresponse bias correction, we estimate a poverty rate of 11.1 percent in 2019, compared to the official estimate of 10.5 percent},
  langid = {american},
  file = {/Users/jdoughe2/Zotero/storage/MW9Y9GPR/SEHSD-WP2020-10.html}
}

@online{rowellRedYellowGreen2016,
  title = {Red, {{Yellow}}, {{Green}}… {{Save It For The Christmas Tree}} [Color Blindness]},
  author = {{Rowell}},
  date = {2016-12-23},
  url = {http://ksrowell.com/blog-visualizing-data/2016/12/23/red-yellow-green-save-it-for-the-christmas-tree/},
  urldate = {2017-01-22},
  abstract = {visualization, color blindness, accessibility, accessible design,},
  file = {/Users/jdoughe2/Zotero/storage/XN39IA64/red-yellow-green-save-it-for-the-christmas-tree.html}
}

@book{ruthkoskiGoogleVisualizationAPI2013,
  title = {Google {{Visualization API Essentials}}},
  author = {Ruthkoski, Traci L.},
  date = {2013},
  publisher = {{Packt Publishing Ltd}},
  url = {http://books.google.com/books?isbn=1849694370},
  abstract = {This book is a step-by-step tutorial full of diagrams, core concept explanations, best practice tips, and links to working book examples. This book will show you how create web-ready data visualizations using Google’s infrastructure. Some HTML knowledge is the only requirement, although some JavaScript knowledge is also helpful.},
  isbn = {978-1-84969-437-7},
  langid = {english},
  pagetotal = {336}
}

@report{schwabishApplyingRacialEquity2020,
  type = {preprint},
  title = {Applying {{Racial Equity Awareness}} in {{Data Visualization}}},
  author = {Schwabish, Jonathan and Feng, Alice},
  date = {2020-08-27},
  institution = {{Open Science Framework}},
  doi = {10.31219/osf.io/x8tbw},
  url = {https://osf.io/x8tbw},
  urldate = {2020-10-16},
  abstract = {A data visualization style guide does for graphs what the Chicago Manual of Style does for English grammar: it defines the components of a graph and their proper, consistent use. At the Urban Institute, a nonprofit research institution based in Washington, DC, our data visualization style guide defines these styles for our research and communications staff. In the process of revising and expanding the style guide, we are taking a more diverse, equitable, and inclusive (DEI) perspective to our research, data, and visualizations. To date, our approach has been to create a set of recommendations and issues to consider, rather than a set of rules that researchers must follow. In this paper, we discuss eight techniques that data visualization producers should consider when creating visuals with this DEI approach. As with our existing style guide, we consider this a first step in our thought process of creating graphs and producing content through a DEI lens.},
  langid = {english},
  file = {/Users/jdoughe2/Zotero/storage/WSNBKXNU/Schwabish and Feng - 2020 - Applying Racial Equity Awareness in Data Visualiza.pdf}
}

@online{schwabishApplyingRacialEquity2020a,
  title = {Applying {{Racial Equity Awareness}} in {{Data Visualization}}},
  author = {Schwabish, Jonathan and Feng, Alice},
  date = {2020-09-03T15:58:11},
  url = {https://medium.com/@urban_institute/applying-racial-equity-awareness-in-data-visualization-bd359bf7a7ff},
  urldate = {2020-10-16},
  abstract = {The following post is a summarized version of the article accepted to the 2020 Visualization for Communication workshop as part of the…},
  langid = {english},
  organization = {{Medium}},
  file = {/Users/jdoughe2/Zotero/storage/6GGKYKTZ/applying-racial-equity-awareness-in-data-visualization-bd359bf7a7ff.html}
}

@book{schwabishBetterDataVisualizations2021,
  title = {Better {{Data Visualizations}}: A {{Guide}} for {{Scholars}}, {{Researchers}}, and {{Wonks}}},
  shorttitle = {Better {{Data Visualizations}}},
  author = {Schwabish, Jonathan},
  date = {2021-01},
  pages = {320 Pages},
  publisher = {{Columbia University Press}},
  url = {https://cup.columbia.edu/book/better-data-visualizations/9780231193115},
  abstract = {Now more than ever, content must be visual if it is to travel far. Readers everywhere are overwhelmed with a flow of data, news, and text. Visuals can cut through the noise and make it easier for readers to recognize and recall information. Yet many researchers were never taught how to present their work visually. This book details essential strategies to create more effective data visualizations. Jonathan Schwabish walks readers through the steps of creating better graphs and how to move beyond simple line, bar, and pie charts. Through more than five hundred examples, he demonstrates the do’s and don’ts of data visualization, the principles of visual perception, and how to make subjective style decisions around a chart’s design. Schwabish surveys more than eighty visualization types, from histograms to horizon charts, ridgeline plots to choropleth maps, and explains how each has its place in the visual toolkit. It might seem intimidating, but everyone can learn how to create compelling, effective data visualizations. This book will guide you as you define your audience and goals, choose the graph that best fits for your data, and clearly communicate your message.},
  isbn = {978-0-231-55015-4},
  file = {/Users/jdoughe2/Zotero/storage/53SDQIJF/Schwabish - 2021 - Better Data Visualizations A Guide for Scholars, .pdf}
}

@book{schwabishBetterPresentationsGuide2017,
  title = {Better Presentations: A Guide for Scholars, Researchers, and Wonks},
  shorttitle = {Better Presentations},
  author = {Schwabish, Jonathan A},
  date = {2017},
  publisher = {{Columbia University Press}},
  location = {{New York}},
  isbn = {978-0-231-17521-0 978-0-231-17520-3},
  langid = {english},
  annotation = {OCLC: 1008974182},
  file = {/Users/jdoughe2/Zotero/storage/YKQUDFE3/Schwabish - 2017 - Better presentations a guide for scholars, resear.pdf}
}

@article{schwabishTenGuidelinesBetter2020,
  title = {Ten {{Guidelines}} for {{Better Tables}}},
  author = {Schwabish, Jonathan A.},
  year = {2020/ed},
  journaltitle = {Journal of Benefit-Cost Analysis},
  volume = {11},
  number = {2},
  pages = {151--178},
  issn = {2194-5888, 2152-2812},
  doi = {10.1017/bca.2020.11},
  url = {10.1017/bca.2020.11},
  urldate = {2020-08-25},
  abstract = {Tables are a unique form of visualizing data because, unlike many charts, they are not usually intended to give a quick, visual representation of data. Instead, tables are useful when you want to show the exact values of your data or estimates. They are not the best solution if you want to show a lot of data or if you want to show the data in a compact space, but a well-designed table can help your reader find specific numbers and discover patterns and outliers. In this article, I present 10 guidelines for creating better, more effective tables; I then model these lessons by redesigning six tables from articles previously published in the Journal of Benefit-Cost Analysis.},
  langid = {english},
  annotation = {http://web.archive.org/web/20200825200034/https://www.cambridge.org/core/journals/journal-of-benefit-cost-analysis/article/ten-guidelines-for-better-tables/74C6FD9FEB12038A52A95B9FBCA05A12/core-reader},
  file = {/Users/jdoughe2/Zotero/storage/5XD22ETX/Schwabish - 2020 - Ten Guidelines for Better Tables.pdf;/Users/jdoughe2/Zotero/storage/BA6GC9XM/core-reader.html}
}

@online{schwabishThreadSummarizingTen2020,
  title = {Thread {{Summarizing}} '{{Ten Guidelines}} for {{Better Tables}}'},
  author = {Schwabish, Jon},
  date = {2020-08-03},
  url = {https://twitter.com/jschwabish/status/1290323581881266177},
  urldate = {2020-08-25},
  abstract = {I recently published "Ten Guidelines for Better Tables" in the Journal of Benefit Cost Analysis (@benefitcost) on ways to improve your data tables.  Here's a thread summarizing the 10 guidelines.  Full paper is here: https://t.co/VSGYnfg7iP https://t.co/W6qbsktioL},
  langid = {english},
  organization = {{Twitter}},
  annotation = {http://web.archive.org/web/20200825200119/https://twitter.com/jschwabish/status/1290323581881266177},
  file = {/Users/jdoughe2/Zotero/storage/UVYXSHMI/1290323581881266177.html}
}

@online{scienceeducationresourcecenteratcarletoncollegeQuantitativeReasoningProfile2013,
  title = {Quantitative {{Reasoning Profile}}: Jack {{Dougherty}}, {{Educational Studies}}},
  author = {Science Education Resource Center at Carleton College},
  date = {2013-23},
  url = {http://serc.carleton.edu/dev/sp/library/qr/profiles/dougherty.html},
  urldate = {2013-10-17},
  organization = {{Pedagogy in Action: The SERC portal for Educators}},
  file = {/Users/jdoughe2/Zotero/storage/2HJVU6FD/dougherty.html}
}

@online{sharma14BestData2015,
  title = {The 14 {{Best Data Visualization Tools}}},
  author = {Sharma, Nishith},
  date = {2015-04-21T19:14:51+01:00},
  url = {http://thenextweb.com/dd/2015/04/21/the-14-best-data-visualization-tools/},
  urldate = {2017-01-08},
  abstract = {Data visualization is the fastest way to make a whole bunch of numbers look a lot more interesting. Today there are a whole bunch of online tools on offer.},
  organization = {{The Next Web}},
  file = {/Users/jdoughe2/Zotero/storage/HC6JG6RH/the-14-best-data-visualization-tools.html}
}

@online{shawnHandsHandsOnData2021,
  title = {Hands {{On}} with ‘{{Hands}}-{{On Data Visualization}}’},
  author = {{Shawn}},
  date = {2021-07-21T18:46:53+00:00},
  url = {https://electricarchaeology.ca/2021/07/21/hands-on-with-hands-on-data-visualization/},
  urldate = {2021-07-21},
  abstract = {I was pleased to receive a physical copy of Jack Dougherty and Ilya Ilyankou’s Hands On Data Visualization: Interactive Storytelling from Spreadsheets to Code not long ago. The complete onlin…},
  langid = {english},
  file = {/Users/jdoughe2/Zotero/storage/BK2L43IY/hands-on-with-hands-on-data-visualization.html}
}

@online{snyderFreeReducedPrice2015,
  title = {Free or Reduced Price Lunch: A Proxy for Poverty?},
  author = {Snyder, Tom and Musu-Gillette, Lauren},
  date = {2015-04-16},
  url = {http://nces.ed.gov/blogs/nces/post/free-or-reduced-price-lunch-a-proxy-for-poverty},
  urldate = {2016-01-07},
  abstract = {reviews National School Lunch Program and policy changes regarding eligibility for free or reduced price lunch},
  organization = {{NCES Blog}},
  file = {/Users/jdoughe2/Zotero/storage/W39UB6EW/free-or-reduced-price-lunch-a-proxy-for-poverty.html}
}

@book{spiegelhalterArtStatisticsHow2019,
  title = {The {{Art}} of {{Statistics}}: How to {{Learn}} from {{Data}}},
  shorttitle = {The {{Art}} of {{Statistics}}},
  author = {Spiegelhalter, David},
  date = {2019-09-03},
  publisher = {{Basic Books}},
  url = {https://www.google.com/books/edition/The_Art_of_Statistics/04-FDwAAQBAJ},
  abstract = {The definitive guide to statistical thinkingStatistics are everywhere, as integral to science as they are to business, and in the popular media hundreds of times a day. In this age of big data, a basic grasp of statistical literacy is more important than ever if we want to separate the fact from the fiction, the ostentatious embellishments from the raw evidence -- and even more so if we hope to participate in the future, rather than being simple bystanders.In The Art of Statistics, world-renowned statistician David Spiegelhalter shows readers how to derive knowledge from raw data by focusing on the concepts and connections behind the math. Drawing on real world examples to introduce complex issues, he shows us how statistics can help us determine the luckiest passenger on the Titanic, whether a notorious serial killer could have been caught earlier, and if screening for ovarian cancer is beneficial. The Art of Statistics not only shows us how mathematicians have used statistical science to solve these problems -- it teaches us how we too can think like statisticians. We learn how to clarify our questions, assumptions, and expectations when approaching a problem, and -- perhaps even more importantly -- we learn how to responsibly interpret the answers we receive.Combining the incomparable insight of an expert with the playful enthusiasm of an aficionado, The Art of Statistics is the definitive guide to stats that every modern person needs.},
  isbn = {978-1-5416-1852-7},
  langid = {english},
  pagetotal = {394},
  keywords = {Computers / Data Modeling & Design,Mathematics / Probability & Statistics / General,Mathematics / Probability & Statistics / Multivariate Analysis,Mathematics / Probability & Statistics / Regression Analysis}
}

@book{spiegelhalterArtStatisticsLearning2019,
  title = {The {{Art}} of {{Statistics}}: Learning from {{Data}}},
  shorttitle = {The {{Art}} of {{Statistics}}},
  author = {Spiegelhalter, David},
  date = {2019-03-28},
  eprint = {CiZeDwAAQBAJ},
  eprinttype = {googlebooks},
  publisher = {{Penguin UK}},
  url = {https://www.google.com/books/edition/The_Art_of_Statistics/CiZeDwAAQBAJ},
  abstract = {'A statistical national treasure' Jeremy Vine, BBC Radio 2'Required reading for all politicians, journalists, medics and anyone who tries to influence people (or is influenced) by statistics. A tour de force' Popular ScienceDo busier hospitals have higher survival rates? How many trees are there on the planet? Why do old men have big ears? David Spiegelhalter reveals the answers to these and many other questions - questions that can only be addressed using statistical science.Statistics has played a leading role in our scientific understanding of the world for centuries, yet we are all familiar with the way statistical claims can be sensationalised, particularly in the media. In the age of big data, as data science becomes established as a discipline, a basic grasp of statistical literacy is more important than ever. In The Art of Statistics, David Spiegelhalter guides the reader through the essential principles we need in order to derive knowledge from data. Drawing on real world problems to introduce conceptual issues, he shows us how statistics can help us determine the luckiest passenger on the Titanic, whether serial killer Harold Shipman could have been caught earlier, and if screening for ovarian cancer is beneficial. 'Shines a light on how we can use the ever-growing deluge of data to improve our understanding of the world' Nature},
  isbn = {978-0-241-25875-0},
  langid = {english},
  pagetotal = {262},
  keywords = {Business & Economics / Statistics,Language Arts & Disciplines / Library & Information Science / General,Mathematics / Probability & Statistics / General,Social Science / Research,Social Science / Statistics},
  file = {/Users/jdoughe2/Zotero/storage/EBFLV77Q/Spiegelhalter - 2019 - The Art of Statistics Learning from Data.pdf}
}

@online{starecheskiSheriffDoctorTeam2015,
  title = {A {{Sheriff And A Doctor Team Up To Map Childhood Trauma}}},
  author = {Starecheski, Laura},
  date = {2015-03-10},
  url = {http://www.npr.org/blogs/health/2015/03/10/377566905/a-sheriff-and-a-doctor-team-up-to-map-childhood-trauma},
  urldate = {2015-03-14},
  abstract = {Sometimes a different perspective can help you see a problem with fresh eyes. The problem to be solved in Gainesville, Fla.? A hot spot of poverty, child abuse and neglect. heat map data visualizations},
  organization = {{NPR.org}},
  file = {/Users/jdoughe2/Zotero/storage/XAISVNH3/a-sheriff-and-a-doctor-team-up-to-map-childhood-trauma.html}
}

@book{steeleBeautifulVisualization2010,
  title = {Beautiful {{Visualization}}},
  author = {Steele, Julie and Iliinsky, Noah},
  date = {2010-04-23},
  publisher = {{O'Reilly Media, Inc.}},
  url = {http://books.google.com/books?isbn=1449390684},
  abstract = {Visualization is the graphic presentation of data -- portrayals meant to reveal complex information at a glance. Think of the familiar map of the New York City subway system, or a diagram of the human brain. Successful visualizations are beautiful not only for their aesthetic design, but also for elegant layers of detail that efficiently generate insight and new understanding. This book examines the methods of two dozen visualization experts who approach their projects from a variety of perspectives -- as artists, designers, commentators, scientists, analysts, statisticians, and more. Together they demonstrate how visualization can help us make sense of the world. Explore the importance of storytelling with a simple visualization exercise Learn how color conveys information that our brains recognize before we're fully aware of it Discover how the books we buy and the people we associate with reveal clues to our deeper selves Recognize a method to the madness of air travel with a visualization of civilian air traffic Find out how researchers investigate unknown phenomena, from initial sketches to published papers  Contributors include: Nick Bilton, Michael E. Driscoll, Jonathan Feinberg, Danyel Fisher, Jessica Hagy, Gregor Hochmuth, Todd Holloway, Noah Iliinsky, Eddie Jabbour, Valdean Klump, Aaron Koblin, Robert Kosara, Valdis Krebs, JoAnn Kuchera-Morin et al., Andrew Odewahn, Adam Perer, Anders Persson, Maximilian Schich, Matthias Shapiro, Julie Steele, Moritz Stefaner, Jer Thorp, Fernanda Viegas, Martin Wattenberg, and Michael Young.},
  isbn = {978-1-4493-9068-6},
  langid = {english},
  pagetotal = {419},
  keywords = {Computers / Data Processing,Computers / Databases / Data Mining,Computers / Digital Media / Video & Animation,Computers / General}
}

@article{steeleDarrellHuffFifty2005,
  title = {Darrell {{Huff}} and {{Fifty Years}} of "{{How}} to {{Lie}} with {{Statistics}}"},
  author = {Steele, J. Michael},
  date = {2005-08-01},
  journaltitle = {Statistical Science},
  shortjournal = {Statistical Science},
  volume = {20},
  number = {3},
  eprint = {20061174},
  eprinttype = {jstor},
  pages = {205--209},
  issn = {0883-4237},
  abstract = {Over the last fifty years. "How to Lie with Statistics" has sold more copies than any other statistical text. This note explores the factors that contributed to its success and provides biographical sketches of its creators: author Darrell Huff and illustrator Irving Geis.},
  annotation = {ArticleType: research-article / Full publication date: Aug., 2005 / Copyright © 2005 Institute of Mathematical Statistics},
  file = {/Users/jdoughe2/Zotero/storage/W7JJURPP/Steele - 2005 - Darrell Huff and Fifty Years of How to Lie with S.pdf}
}

@online{sternConnecticutSchoolSegregation2014,
  title = {Connecticut School Segregation, Education Funding and {{Tom Foley}}},
  author = {Stern, Paul},
  date = {2014-01-19},
  url = {http://www.ctmirror.org/connecticut-school-segregation-education-funding-and-tom-foley},
  urldate = {2014-01-20},
  abstract = {Is breaking the link between race, poverty, housing and school segregation an intractable problem in Connecticut? Judging from our recent stories by education reporter Jacqueline Rabe Thomas, it would seem so.},
  organization = {{CT Mirror}},
  keywords = {Dan Esty,Dannel P. Malloy,Mile Rapoport,Tom Foley,Trinity College},
  file = {/Users/jdoughe2/Zotero/storage/J6MIZIFG/connecticut-school-segregation-education-funding-and-tom-foley.html}
}

@online{stevensonFrugalMapMaking2013,
  title = {Frugal Map Making: Experiences from {{Korail}}},
  shorttitle = {Frugal Map Making},
  author = {Stevenson, Rebecca and Sarker, Anjali and May, Maria},
  date = {2013-09-01},
  url = {http://blog.brac.net/2013/09/frugal-map-making-experiences-from-korail/},
  urldate = {2014-03-01},
  abstract = {Many mapping initiatives are ramping up in the developing world, but in urban megacities like Dhaka, the slums remain largely uncharted--even by mapping giants like Google. Open Data Kit (ODK) http://opendatakit.org},
  organization = {{BRAC Blog}},
  file = {/Users/jdoughe2/Zotero/storage/XR3RRGQ3/frugal-map-making-experiences-from-korail.html}
}

@online{stoneGuideStatisticsHistorical2020,
  title = {A {{Guide}} to {{Statistics}} on {{Historical Trends}} in {{Income Inequality}}},
  author = {Stone, Chad and Trisi, Danilo and Sherman, Arloc and Beltrán, Jennifer},
  date = {2020-01-13},
  url = {https://www.cbpp.org/research/poverty-and-inequality/a-guide-to-statistics-on-historical-trends-in-income-inequality},
  urldate = {2020-09-10},
  abstract = {The years from the end of World War II into the 1970s were ones of substantial economic growth and broadly shared prosperity. Beginning in the 1970s, economic growth slowed and the income gap widened.},
  langid = {english},
  organization = {{Center on Budget and Policy Priorities}},
  annotation = {http://web.archive.org/web/20200910194753/https://www.cbpp.org/research/poverty-and-inequality/a-guide-to-statistics-on-historical-trends-in-income-inequality},
  file = {/Users/jdoughe2/Zotero/storage/52YCN2PZ/a-guide-to-statistics-on-historical-trends-in-income-inequality.html}
}

@book{tableauVisualAnalysisBest,
  title = {Visual {{Analysis Best Practices}}: A {{Guidebook}}},
  author = {Tableau},
  url = {http://www.tableau.com/sites/default/files/media/whitepaper_visual-analysis-guidebook_0.pdf},
  file = {/Users/jdoughe2/Zotero/storage/ZE6VP9BC/TableauVisAnalBestPractices.pdf}
}

@online{ThisBadChart2013,
  title = {This Is a Bad Chart},
  date = {2013-10-28},
  url = {http://mediamattersforamerica.tumblr.com/post/65345716667/fox-posted-this-very-misleading-graphic-comparing},
  urldate = {2013-10-29},
  abstract = {Fox posted this very misleading graphic comparing people on welfare to people with full-time jobs to conclude that there are more people on welfare than with jobs—by the looks of this chart, 5 times...},
  organization = {{MediaMatters.org}},
  keywords = {Charts,Fox News,Graphs},
  file = {/Users/jdoughe2/Zotero/storage/ZCFNCRPT/fox-posted-this-very-misleading-graphic-comparing.html}
}

@online{thomasNationReportCard2013,
  title = {Nation's {{Report Card}}: {{CT}} Continues to Show Largest Achievement Gap},
  shorttitle = {Nation\&\#039;s {{Report Card}}},
  author = {Thomas, Jacqueline Rabe},
  date = {2013-11-08},
  url = {http://www.ctmirror.org/nations-report-card-ct-continues-show-largest-achievement-gap},
  urldate = {2013-11-09},
  abstract = {For years, Connecticut has had the worst achievement gap in the nation between its minority students and their peers in learning to read and do math -- and according to the results of a major test given periodically, not much has changed. While Connecticut students overall test very well in math and reading when compared with students in other states, black and Hispanic students and those from low-income families are still far behind their classmates.},
  organization = {{CT Mirror}},
  file = {/Users/jdoughe2/Zotero/storage/FZZSCC92/nations-report-card-ct-continues-show-largest-achievement-gap.html}
}

@online{thomasNumbersIntegratingSchools2014,
  title = {By the Numbers: Integrating Schools in {{CT}}},
  shorttitle = {By the Numbers},
  author = {Thomas, Jacqueline Rabe and Chang, Alvin},
  date = {2014-01-15},
  url = {http://ctmirror.org/by-the-numbers-integrating-schools-in-ct/},
  urldate = {2014-01-15},
  abstract = {Review of racial integration in Connecticut schools, with data visualizations created by Trinity students Emily Meehan, Savannah Reuben, and Elaina Rollins},
  organization = {{CT Mirror}},
  keywords = {Brown University,Connecticut,Connecticut Supreme Court,Dan Malloy,Hartford,integration,John Logan,magnet schools,Open Choice,Sheff},
  file = {/Users/jdoughe2/Zotero/storage/N6BI7NSC/numbers-integrating-schools-ct.html}
}

@online{tranHowHomeOwnership2015,
  title = {How Home Ownership Has Evolved in {{Connecticut}}},
  author = {Tran, Andrew Ba},
  date = {2015-08-26},
  url = {http://trendct.org/2015/08/26/how-home-ownership-has-evolved-in-connecticut/},
  urldate = {2015-08-27},
  abstract = {The proportion of homeowners compared to renters in Connecticut has grown since 1970, though that growth stalled after 1990. Leaflet animated time slider with DataNet and sparkline table},
  organization = {{TrendCT}},
  file = {/Users/jdoughe2/Zotero/storage/34MF45DI/how-home-ownership-has-evolved-in-connecticut.html}
}

@article{trentMassiveNewEffort2020,
  title = {A Massive New Effort to Name Millions Sold into Bondage during the Transatlantic Slave Trade},
  author = {Trent, Sydney},
  date = {2020-12-01},
  journaltitle = {Washington Post},
  issn = {0190-8286},
  url = {https://www.washingtonpost.com/history/2020/12/01/slavery-database-family-genealogy/},
  urldate = {2020-12-07},
  abstract = {Enslaved.org, the free database launched Tuesday, will allow anyone from academic historians to amateur family genealogists to search for individual enslaved people around the globe in one central online location.},
  entrysubtype = {newspaper},
  langid = {american},
  file = {/Users/jdoughe2/Zotero/storage/ASRYT88R/slavery-database-family-genealogy.html}
}

@book{tufteBeautifulEvidence2006,
  title = {Beautiful {{Evidence}}},
  author = {Tufte, Edward R.},
  date = {2006-01-01},
  publisher = {{Graphics Press}},
  url = {http://books.google.com/books?isbn=0961392177},
  abstract = {Science and art have in common intense seeing, the wide-eyed observing that generates empirical information. Beautiful Evidence is about how seeing turns into showing, how empirical observations turn into explanations and evidence presentations. The book identifies excellent and effective methods for presenting information, suggests new designs, and provides tools for assessing the credibility of evidence presentations.Here we will see many close readings of serious evidence presentations-ranging through evolutionary trees and rocket science to economics, art history, and sculpture. Insistent application of the principles of analytical thinking helps both insiders and outsiders assess the credibility of evidence.},
  isbn = {978-0-9613921-7-8},
  langid = {english},
  pagetotal = {213},
  keywords = {Computers / Programming / Games,Mathematics / Graphic Methods}
}

@book{tufteEnvisioningInformation1990,
  title = {Envisioning {{Information}}},
  author = {Tufte, Edward R},
  date = {1990},
  publisher = {{Graphics Press}},
  location = {{Cheshire, CT}},
  url = {https://www.google.com/books/edition/Envisioning_Information/_EZiAAAAMAAJ},
  langid = {english}
}

@book{tufteVisualDisplayQuantitative1983,
  title = {The {{Visual Display}} of {{Quantitative Information}}},
  author = {Tufte, Edward R.},
  date = {1983},
  publisher = {{Graphics Press}},
  location = {{Cheshire, Conn.}},
  abstract = {The subject of this book is on statistical graphics, charts, tables. It deals with the theory and practice in the design of data graphics, and includes 250 illustrations of the best (and a few of the worst) statistical graphics, with detailed analysis of how to display data for precise, effective, quick analysis.  Also offered is information on the design of the high-resolution displays, small multiples, editing and improving graphics, and the data-ink ratio. Time-series, relational graphics, data maps, multivariate designs, as well as detection of graphical deception: design variation vs. data variation, and sources of deception are discussed. Information on aesthetics and data graphical displays is included.},
  langid = {english}
}

@book{tufteVisualExplanationsImages1997,
  title = {Visual Explanations: Images and Quantities, Evidence and Narrative},
  shorttitle = {Visual Explanations},
  author = {Tufte, Edward R},
  date = {1997},
  publisher = {{Graphics Press}},
  location = {{Cheshire, Conn.}},
  isbn = {0-9613921-2-6 978-0-9613921-2-3},
  langid = {english}
}

@online{urbaninstituteUrbanInstituteData2020,
  title = {Urban {{Institute Data Visualization Style Guide}}},
  author = {{Urban Institute}},
  date = {2020},
  url = {http://urbaninstitute.github.io/graphics-styleguide/},
  urldate = {2020-10-16},
  abstract = {This site contains guidelines that are in line with data visualization best practices and proven design principles.},
  langid = {english},
  file = {/Users/jdoughe2/Zotero/storage/E476ULPS/graphics-styleguide.html}
}

@online{uscensusbureauHardCount20202020,
  title = {Hard {{To Count}} 2020},
  author = {{US Census Bureau}},
  date = {2020},
  url = {https://www.censushardtocountmaps2020.us/},
  urldate = {2020-12-08},
  file = {/Users/jdoughe2/Zotero/storage/C52VJHCP/www.censushardtocountmaps2020.us.html}
}

@online{vanhemertBestMapEver2013,
  title = {The {{Best Map Ever Made}} of {{America}}'s {{Racial Segregation}}},
  author = {VanHemert, Kyle},
  date = {2013-08-26},
  url = {http://www.wired.com/2013/08/how-segregated-is-your-city-this-eye-opening-map-shows-you/},
  urldate = {2014-12-20},
  abstract = {Drawing on data from the 2010 U.S. Census,  the map shows one dot per person, color-coded by race. That's 308,745,538 dots in all.},
  organization = {{WIRED}},
  file = {/Users/jdoughe2/Zotero/storage/2MCS2Z9G/how-segregated-is-your-city-this-eye-opening-map-shows-you.html}
}

@article{veauxHowLieBad2005,
  title = {How to {{Lie}} with {{Bad Data}}},
  author = {Veaux, Richard D. De and Hand, David J.},
  date = {2005-08-01},
  journaltitle = {Statistical Science},
  shortjournal = {Statistical Science},
  volume = {20},
  number = {3},
  eprint = {20061178},
  eprinttype = {jstor},
  pages = {231--238},
  issn = {0883-4237},
  abstract = {As Huff's landmark book made clear, lying with statistics can be accomplished in many ways. Distorting graphics, manipulating data or using biased samples are just a few of the tried and true methods. Failing to use the correct statistical procedure or failing to check the conditions for when the selected method is appropriate can distort results as well, whether the motives of the analyst are honorable or not. Even when the statistical procedure and motives are correct, bad data can produce results that have no validity at all. This article provides some examples of how bad data can arise, what kinds of bad data exist, how to detect and measure bad data, and how to improve the quality of data that have already been collected.},
  annotation = {ArticleType: research-article / Full publication date: Aug., 2005 / Copyright © 2005 Institute of Mathematical Statistics},
  file = {/Users/jdoughe2/Zotero/storage/2PGJ6RNJ/Veaux and Hand - 2005 - How to Lie with Bad Data.pdf}
}

@article{vigdorAppleCardInvestigated2019,
  title = {Apple {{Card Investigated After Gender Discrimination Complaints}} ({{Published}} 2019)},
  author = {Vigdor, Neil},
  date = {2019-11-10},
  journaltitle = {The New York Times},
  issn = {0362-4331},
  url = {https://www.nytimes.com/2019/11/10/business/Apple-credit-card-investigation.html},
  urldate = {2020-12-07},
  abstract = {A prominent software developer said on Twitter that the credit card was “sexist” against women applying for credit.},
  entrysubtype = {newspaper},
  journalsubtitle = {Business},
  langid = {american},
  keywords = {Apple Pay,Banking and Financial Institutions,Computers and the Internet,Credit Cards,Credit Scores,Department of Financial Services (NYS),Discrimination,Goldman Sachs Group Inc,Hansson; David Heinemeier,MasterCard Inc,Mobile Applications,Smartphones,Women and Girls},
  file = {/Users/jdoughe2/Zotero/storage/E9L5YEKE/Apple-credit-card-investigation.html}
}

@online{wallaceNonprofitDataVisualization2012,
  title = {Nonprofit {{Data Visualization}}: A {{Gallery}}},
  shorttitle = {Nonprofit {{Data Visualization}}},
  author = {Wallace, Nicole},
  date = {2012-03-04},
  url = {http://philanthropy.com/blogs/innovation/nonprofit-data-visualization-a-gallery/667},
  urldate = {2013-10-22},
  organization = {{The Chronicle of Philanthropy}},
  file = {/Users/jdoughe2/Zotero/storage/WBM7MHS4/667.html}
}

@online{washingtonSunlightFoundation,
  title = {Sunlight {{Foundation}}},
  author = {Washington, 1818 N. Street NW Suite 300},
  url = {http://sunlightfoundation.com/},
  urldate = {2013-10-22},
  abstract = {Making government transparent and accountable.},
  organization = {{Sunlight Foundation}},
  file = {/Users/jdoughe2/Zotero/storage/5IFUHG6S/tools.html}
}

@online{wattersAudreyTestWhat2012a,
  title = {'{{The Audrey Test}}': Or, {{What Should Every Techie Know About Education}}?},
  shorttitle = {"{{The Audrey Test}}"},
  author = {Watters, Audrey},
  date = {2012-03-17T00:00:00+00:00},
  url = {http://hackeducation.com/2012/03/17/what-every-techie-should-know-about-education},
  urldate = {2017-02-12},
  abstract = {I want us to set the bar really high when it comes to education technology -- both in its development and its implementation.  I don't think it's too much to ask. I mean, we're talking about teachi...},
  organization = {{Hack Education}},
  file = {/Users/jdoughe2/Zotero/storage/XK2IU8WW/what-every-techie-should-know-about-education.html}
}

@online{WhatRealWages2018,
  type = {Federal Reserve Bank of St. Louis},
  title = {What’s {{Real About Wages}}?},
  shorttitle = {What’s {{Real About Wages}}?},
  date = {2018-02-08},
  url = {https://fredblog.stlouisfed.org/2018/02/are-wages-increasing-or-decreasing/},
  urldate = {2020-10-22},
  abstract = {"People have been talking about the evolution of wages. Some say they’re increasing, others say they’re decreasing. Who’s right? As is so often the case in economics, it depends. First let’s look at the graph above, which has four different indicators for wages. Three of them show a clear and steady upward trend. But one of them—the green line, which shows median weekly earnings—is starkly different. It could be because the median is different from the mean if the distribution of wages skews strongly at the top. Or it could be that people work less per week. Or it could be that it’s a real measure, whereas the others are nominal."},
  langid = {american},
  organization = {{The FRED Blog}},
  file = {/Users/jdoughe2/Zotero/storage/28V4FJQP/are-wages-increasing-or-decreasing.html}
}

@book{wheelanNakedStatisticsStripping2013,
  title = {Naked {{Statistics}}: Stripping the {{Dread}} from the {{Data}}},
  shorttitle = {Naked {{Statistics}}},
  author = {Wheelan, Charles},
  date = {2013-01-07},
  eprint = {j5qYPqsBJb0C},
  eprinttype = {googlebooks},
  publisher = {{W. W. Norton \& Company}},
  url = {https://www.google.com/books/edition/Naked_Statistics_Stripping_the_Dread_fro/j5qYPqsBJb0C},
  abstract = {The best-selling author of Naked Economics defies the odds with a book about statistics that you’ll welcome and enjoy. Once considered tedious, the field of statistics is rapidly evolving into a discipline Hal Varian, chief economist at Google, has actually called “sexy.” From batting averages and political polls to game shows and medical research, the real-world application of statistics continues to grow by leaps and bounds. How can we catch schools that cheat on standardized tests? How does Netflix know which movies you’ll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more. For those who slept through Stats 101, this book is a lifesaver. Wheelan strips away the arcane and technical details and focuses on the underlying intuition that drives statistical analysis. He clarifies key concepts such as inference, correlation, and regression analysis, reveals how biased or careless parties can manipulate or misrepresent data, and shows us how brilliant and creative researchers are exploiting the valuable data from natural experiments to tackle thorny questions. And in Wheelan’s trademark style, there’s not a dull page in sight. You’ll encounter clever Schlitz Beer marketers leveraging basic probability, an International Sausage Festival illuminating the tenets of the central limit theorem, and a head-scratching choice from the famous game show Let’s Make a Deal—and you’ll come away with insights each time. With the wit, accessibility, and sheer fun that turned Naked Economics into a bestseller, Wheelan defies the odds yet again by bringing another essential, formerly unglamorous discipline to life.},
  isbn = {978-0-393-07195-5},
  langid = {english},
  pagetotal = {305},
  keywords = {Business & Economics / Statistics,Mathematics / Applied,Mathematics / Probability & Statistics / General}
}

@online{WindsChange2013,
  title = {Winds of Change},
  date = {2013-07-06},
  url = {http://www.economist.com/news/books-and-arts/21580446-revolution-taking-place-how-visualise-information-winds-change},
  urldate = {2013-10-22},
  abstract = {Data Points: Visualisation That Means Something. By Nathan Yau. Wiley; 300 pages; \$32 and £26.99. Buy from Amazon.com, Amazon.co.uk Facts are Sacred. By Simon...},
  organization = {{The Economist}},
  file = {/Users/jdoughe2/Zotero/storage/KIWR72FS/21580446-revolution-taking-place-how-visualise-information-winds-change.html}
}

@book{wongWallStreetJournal2013,
  title = {The {{Wall Street Journal Guide}} to {{Information Graphics}}: The {{Dos}} and {{Don}}'ts of {{Presenting Data}}, {{Facts}}, and {{Figures}}},
  shorttitle = {The {{Wall Street Journal Guide}} to {{Information Graphics}}},
  author = {Wong, Dona M.},
  date = {2013-12-16},
  publisher = {{W W Norton \& Company Incorporated}},
  abstract = {In today’s data-driven world, professionals need to know how to express themselves in the language of graphics effectively and eloquently. Yet information graphics is rarely taught in schools or is the focus of on-the-job training. Now, for the first time, Dona M. Wong, a student of the information graphics pioneer Edward Tufte, makes this material available for all of us. In this book, you will learn:  to choose the best chart that fits your data;   the most effective way to communicate with decision makers when you have five minutes of their time;   how to chart currency fluctuations that affect global business;   how to use color effectively;   how to make a graphic “colorful” even if only black and white are available. The book is organized in a series of mini-workshops backed up with illustrated examples, so not only will you learn what works and what doesn’t but also you can see the dos and don’ts for yourself. This is an invaluable reference work for students and professional in all fields.},
  isbn = {978-0-393-34728-9},
  langid = {english},
  pagetotal = {160},
  keywords = {Business & Economics / Skills}
}

@online{worldinequalitydatabaseIncomeInequalityUSA2020,
  title = {Income {{Inequality}}, {{USA}}, 1913-2019},
  author = {{World Inequality Database}},
  date = {2020},
  url = {https://wid.world/share/#0/countrytimeseries/aptinc_p50p90_z;aptinc_p90p100_z;aptinc_p0p50_z/US/2015/kk/k/x/yearly/a/false/0/400000/curve/false},
  urldate = {2020-09-17},
  abstract = {Share The source for global inequality data. Open access, high quality wealth and income inequality data developed by an international academic consortium.},
  langid = {american},
  annotation = {http://web.archive.org/web/20200917144429/https://wid.world/share/},
  file = {/Users/jdoughe2/Zotero/storage/4JGWS4KM/share.html}
}

@online{worldinequalitydatabaseMethodology2020,
  title = {Methodology},
  author = {{World Inequality Database}},
  date = {2020},
  url = {https://wid.world/methodology/},
  urldate = {2020-09-17},
  abstract = {Methodology The source for global inequality data. Open access, high quality wealth and income inequality data developed by an international academic consortium.},
  langid = {american},
  organization = {{WID - World Inequality Database}},
  annotation = {http://web.archive.org/web/20200917134909/https://wid.world/methodology/},
  file = {/Users/jdoughe2/Zotero/storage/BTWVLP3G/methodology.html}
}

@online{worldinequalitydatabaseTopNationalIncome2020,
  title = {Top 1\% {{National Income Share}}},
  author = {{World Inequality Database}},
  date = {2020},
  url = {https://wid.world/world/#sptinc_p99p100_z/US;FR;DE;CN;ZA;GB;WO/last/eu/k/p/yearly/s/false/5.070499999999999/30/curve/false/country},
  urldate = {2020-09-17},
  abstract = {World The source for global inequality data. Open access, high quality wealth and income inequality data developed by an international academic consortium.},
  langid = {american},
  annotation = {http://web.archive.org/web/20200917144208/https://wid.world/world/},
  file = {/Users/jdoughe2/Zotero/storage/LQZ3AGL6/world.html}
}

@online{WTFVisualizationsVisualizations2017,
  title = {{{WTF Visualizations}}: Visualizations {{That Make No Sense}}},
  date = {2017},
  url = {http://viz.wtf},
  urldate = {2017-02-12},
  abstract = {Tumblr account: Visualizations that make no sense. For a discussion of what is wrong with a particular...},
  file = {/Users/jdoughe2/Zotero/storage/Z9DUUTCT/viz.wtf.html}
}

@book{xieBookdownAuthoringBooks2018,
  title = {Bookdown: Authoring {{Books}} and {{Technical Documents}} with {{R Markdown}}},
  shorttitle = {Bookdown},
  author = {Xie, Yihui},
  date = {2018},
  publisher = {{Chapman \& Hall/CRC}},
  url = {https://bookdown.org/yihui/bookdown/},
  urldate = {2019-01-26},
  abstract = {A guide to authoring books with R Markdown, including how to generate figures and tables, and insert cross-references, citations, HTML widgets, and Shiny apps in R Markdown. The book can be exported to HTML, PDF, and e-books (e.g.~EPUB). The book style is customizable. You can easily write and preview the book in RStudio IDE or other editors, and host the book wherever you want (e.g.~bookdown.org).},
  file = {/Users/jdoughe2/Zotero/storage/YKQ2XYQU/bookdown.html}
}

@book{xieMarkdownCookbook2020,
  title = {R {{Markdown Cookbook}}},
  author = {Xie, Yihui and Dervieux, Christophe and Riederer, Emily},
  date = {2020},
  publisher = {{Chapman \& Hall/CRC}},
  url = {https://bookdown.org/yihui/rmarkdown-cookbook/},
  urldate = {2020-01-08},
  abstract = {This book showcases short, practical examples of lesser-known tips and tricks to helps users get the most out of these tools. After reading this book, you will understand how R Markdown documents are transformed from plain text and how you may customize nearly every step of this processing. For example, you will learn how to dynamically create content from R code, reference code in other documents or chunks, control the formatting with customer templates, fine-tune how your code is processed, and incorporate multiple languages into your analysis.},
  file = {/Users/jdoughe2/Zotero/storage/B7D5XC3M/rmarkdown-cookbook.html}
}

@book{xieMarkdownDefinitiveGuide2020,
  title = {R {{Markdown}}: The {{Definitive Guide}}},
  shorttitle = {R {{Markdown}}},
  author = {Xie, Yihui and Allaire, J. J. and Grolemund, Garrett},
  date = {2020},
  publisher = {{Chapman \& Hall/CRC}},
  url = {https://bookdown.org/yihui/rmarkdown/},
  urldate = {2021-02-09},
  abstract = {The first official book authored by the core R Markdown developers that provides a comprehensive and accurate reference to the R Markdown ecosystem. With R Markdown, you can easily create reproducible data analysis reports, presentations, dashboards, interactive applications, books, dissertations, websites, and journal articles, while enjoying the simplicity of Markdown and the great power of R and other languages.},
  file = {/Users/jdoughe2/Zotero/storage/GAKT9XLL/rmarkdown.html}
}

@online{xkcdUniversityWebsite,
  title = {University {{Website}}},
  author = {{xkcd}},
  url = {https://xkcd.com/773/},
  urldate = {2017-02-12},
  abstract = {Venn diagram about web design: Things on the front page of a university website vs things people to go the site looking for},
  file = {/Users/jdoughe2/Zotero/storage/38TQXHG4/773.html}
}

@online{yauBestDataVisualization2016,
  title = {Best {{Data Visualization Projects}} of 2016},
  author = {Yau, Nathan},
  date = {2016-12-29T09:13:52+00:00},
  url = {http://flowingdata.com/2016/12/29/best-data-visualization-projects-of-2016/},
  urldate = {2017-02-12},
  abstract = {Here are my favorites for the year.},
  organization = {{FlowingData}},
  file = {/Users/jdoughe2/Zotero/storage/CPEXJBNG/best-data-visualization-projects-of-2016.html}
}

@book{yauDataPointsVisualization2013,
  title = {Data {{Points}}: Visualization {{That Means Something}}},
  author = {Yau, Nathan},
  date = {2013},
  publisher = {{Wiley}},
  location = {{Hoboken, N.J.}},
  url = {http://books.google.com/books?isbn=111846222X},
  urldate = {2013-10-22},
  isbn = {1-299-40741-2 978-1-299-40741-1 978-1-118-65493-4 1-118-65493-5},
  langid = {english}
}

@online{yauHowK12Schools2010,
  title = {How {{K}}-12 Schools in Your Area Measure Up},
  author = {Yau, Nathan},
  date = {2010-10-13},
  url = {http://flowingdata.com/2010/10/13/how-k-12-schools-in-your-area-measure-up/},
  urldate = {2010-10-14},
  file = {/Users/jdoughe2/Zotero/storage/STQKC34F/how-k-12-schools-in-your-area-measure-up.html}
}

@online{yauHowSpotVisualization2017,
  title = {How to {{Spot Visualization Lies}}},
  author = {Yau, Nathan},
  date = {2017-02-09T17:27:02+00:00},
  url = {http://flowingdata.com/2017/02/09/how-to-spot-visualization-lies/},
  urldate = {2017-02-12},
  abstract = {Many charts don’t tell the truth. This is a simple guide to spotting them.},
  organization = {{FlowingData}},
  file = {/Users/jdoughe2/Zotero/storage/CMSSP4VB/how-to-spot-visualization-lies.html}
}

@online{yauOneDatasetVisualized2017,
  title = {One {{Dataset}}, {{Visualized}} 25 {{Ways}}},
  author = {Yau, Nathan},
  date = {2017-01-24T13:05:24+00:00},
  url = {http://flowingdata.com/2017/01/24/one-dataset-visualized-25-ways/},
  urldate = {2017-02-12},
  abstract = {“Let the data speak” they say. But what happens when the data rambles on and on?},
  organization = {{FlowingData}},
  file = {/Users/jdoughe2/Zotero/storage/629R8UNK/one-dataset-visualized-25-ways.html}
}

@online{yauRaceEthnicityMapped2010,
  title = {Race and Ethnicity Mapped by Block},
  author = {Yau, Nathan},
  date = {2010-09-20},
  url = {http://flowingdata.com/2010/09/20/race-and-ethnicity-by-mapped-by-block/},
  urldate = {2010-12-14},
  abstract = {Eric Fischer color coded dot density maps},
  file = {/Users/jdoughe2/Zotero/storage/QSPP4GTH/race-and-ethnicity-by-mapped-by-block.html}
}

@online{yauUndergraduateGradeInflation2011,
  title = {Undergraduate Grade Inflation},
  author = {Yau, Nathan},
  date = {2011-07-19},
  url = {http://flowingdata.com/2011/07/19/undergraduate-grade-inflation/},
  urldate = {2011-07-22},
  organization = {{Flowing Data}},
  file = {/Users/jdoughe2/Zotero/storage/MTPVTRIN/undergraduate-grade-inflation.html}
}

@book{yauVisualizeThisFlowingData2011,
  title = {Visualize {{This}}: The {{FlowingData Guide}} to {{Design}}, {{Visualization}}, and {{Statistics}}},
  shorttitle = {Visualize {{This}}},
  author = {Yau, Nathan},
  date = {2011-06-13},
  publisher = {{John Wiley \& Sons}},
  url = {http://books.google.com/books?id=CB9XRIv9oigC},
  abstract = {TRINITY EBOOK http://ctwweb.wesleyan.edu:7002/vwebv/holdingsInfo?bibId=1854607 Practical data design tips from a data visualization expert of the modern ageData doesn?t decrease; it is ever-increasing and can be overwhelming to organize in a way that makes sense to its intended audience. Wouldn?t it be wonderful if we could actually visualize data in such a way that we could maximize its potential and tell a story in a clear, concise manner? Thanks to the creative genius of Nathan Yau, we can. With this full-color book, data visualization guru and author Nathan Yau uses step-by-step tutorials to show you how to visualize and tell stories with data. He explains how to gather, parse, and format data and then design high quality graphics that help you explore and present patterns, outliers, and relationships.Presents a unique approach to visualizing and telling stories with data, from a data visualization expert and the creator of flowingdata.com, Nathan YauOffers step-by-step tutorials and practical design tips for creating statistical graphics, geographical maps, and information design to find meaning in the numbersDetails tools that can be used to visualize data-native graphics for the Web, such as ActionScript, Flash libraries, PHP, and JavaScript and tools to design graphics for print, such as R and IllustratorContains numerous examples and descriptions of patterns and outliers and explains how to show themVisualize This demonstrates how to explain data visually so that you can present your information in a way that is easy to understand and appealing.},
  isbn = {978-1-118-14026-0},
  langid = {english},
  pagetotal = {358},
  keywords = {Computers / User Interfaces}
}

@online{young-saverWhatDoes952020,
  title = {What {{Does}} 95\% {{Effective Mean}}? Teaching the {{Math}} of {{Vaccine Efficacy}}},
  author = {Young-Saver, Dashiell},
  date = {2020-12-14},
  url = {https://int.nyt.com/data/documenttools/teaching-the-math-of-vaccine-effectiveness/190b272f891868c7/full.pdf},
  langid = {english},
  organization = {{New York Times Learning Network}},
  file = {/Users/jdoughe2/Zotero/storage/ZBYZSQFG/Young-Saver - What Does 95% Effective Mean Teaching the Math of.pdf}
}

@article{zimmerCompaniesSayTheir2020,
  title = {2 {{Companies Say Their Vaccines Are}} 95\% {{Effective}}. {{What Does That Mean}}?},
  author = {Zimmer, Carl},
  date = {2020-11-20},
  journaltitle = {The New York Times},
  issn = {0362-4331},
  url = {https://www.nytimes.com/2020/11/20/health/covid-vaccine-95-effective.html},
  urldate = {2020-12-16},
  abstract = {You might assume that 95 out of every 100 people vaccinated will be protected from Covid-19. But that’s not how the math works.},
  entrysubtype = {newspaper},
  journalsubtitle = {Health},
  langid = {american},
  keywords = {Clinical Trials,Coronavirus (2019-nCoV),Health Affairs (Journal),Moderna Inc,Pfizer Inc,Placebos,Vaccination and Immunization,your-feed-healthcare,your-feed-science},
  file = {/Users/jdoughe2/Zotero/storage/SV47K3CX/covid-vaccine-95-effective.html}
}

@book{zuberiThickerBloodHow2001,
  title = {Thicker {{Than Blood}}: How {{Racial Statistics Lie}}},
  shorttitle = {Thicker {{Than Blood}}},
  author = {Zuberi, Tukufu},
  date = {2001},
  publisher = {{U of Minnesota Press}},
  url = {http://books.google.com/books?isbn=0816639094},
  isbn = {978-1-4529-0560-0},
  langid = {english},
  pagetotal = {224},
  keywords = {Social Science / Ethnic Studies / General,Social Science / Statistics}
}

@book{zuboffAgeSurveillanceCapitalism2019,
  title = {The {{Age}} of {{Surveillance Capitalism}}: The {{Fight}} for a {{Human Future}} at the {{New Frontier}} of {{Power}}},
  shorttitle = {The {{Age}} of {{Surveillance Capitalism}}},
  author = {Zuboff, Shoshana},
  date = {2019-01-15},
  eprint = {lRqrDQAAQBAJ},
  eprinttype = {googlebooks},
  publisher = {{PublicAffairs}},
  url = {https://www.google.com/books/edition/The_Age_of_Surveillance_Capitalism/lRqrDQAAQBAJ},
  abstract = {The challenges to humanity posed by the digital future, the first detailed examination of the unprecedented form of power called "surveillance capitalism," and the quest by powerful corporations to predict and control our behavior. In this masterwork of original thinking and research, Shoshana Zuboff provides startling insights into the phenomenon that she has named surveillance capitalism. The stakes could not be higher: a global architecture of behavior modification threatens human nature in the twenty-first century just as industrial capitalism disfigured the natural world in the twentieth. Zuboff vividly brings to life the consequences as surveillance capitalism advances from Silicon Valley into every economic sector. Vast wealth and power are accumulated in ominous new "behavioral futures markets," where predictions about our behavior are bought and sold, and the production of goods and services is subordinated to a new "means of behavioral modification." The threat has shifted from a totalitarian Big Brother state to a ubiquitous digital architecture: a "Big Other" operating in the interests of surveillance capital. Here is the crucible of an unprecedented form of power marked by extreme concentrations of knowledge and free from democratic oversight. Zuboff's comprehensive and moving analysis lays bare the threats to twenty-first century society: a controlled "hive" of total connection that seduces with promises of total certainty for maximum profit -- at the expense of democracy, freedom, and our human future. With little resistance from law or society, surveillance capitalism is on the verge of dominating the social order and shaping the digital future -- if we let it.},
  isbn = {978-1-61039-570-0},
  langid = {english},
  pagetotal = {658},
  keywords = {Business & Economics / Industries / Computers & Information Technology,Computers / Information Theory,Computers / Social Aspects,Social Science / Privacy & Surveillance,Technology & Engineering / Social Aspects}
}