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recursos.html
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<!DOCTYPE html>
<html class="nojs html css_verticalspacer" lang="es-ES">
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<title>recursos</title>
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<a class="nonblock nontext clearfix shared_content" id="u1128-4" href="index.html" data-href="page:U93" data-content-guid="u1128-4_content"><!-- content --><p>INICIO</p></a>
<a class="nonblock nontext clearfix shared_content" id="u1129-4" href="acerca.html" data-href="page:U1585" data-content-guid="u1129-4_content"><!-- content --><p>ACERCA</p></a>
<a class="nonblock nontext clearfix shared_content" id="u1130-4" href="metodologia.html" data-href="page:U1597" data-content-guid="u1130-4_content"><!-- content --><p>METODOLOGÍA</p></a>
<a class="nonblock nontext clearfix shared_content" id="u1131-4" href="casos.html" data-href="page:U1609" data-content-guid="u1131-4_content"><!-- content --><p>CASOS</p></a>
<a class="nonblock nontext MuseLinkActive clearfix shared_content" id="u1132-4" href="recursos.html" data-href="page:U1621" data-content-guid="u1132-4_content"><!-- content --><p>RECURSOS</p></a>
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<div class="size_fixed grpelem shared_content" id="u20342" data-sizePolicy="fixed" data-pintopage="page_fluidx" data-content-guid="u20342_content"><!-- custom html -->
</div>
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<p>RECURSOS</p>
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<p>IDENTIFICAR</p>
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<p id="u17591-2">¿Qué información requieres para entender una problemática, para fortalecer un argumento o validar una hipótesis? ¿Dónde pueden estar esos datos? ¿En qué formatos están y qué tan fáciles de usar son?</p>
<p id="u17591-3"> </p>
<p class="Copia-de-NOMAL" id="u17591-7">Identificar datos nos lleva a conocer nuestras fuentes de datos a profundidad y detalle. Un recuento de esta experiencia está en la reflexión sobre <a class="nonblock" href="https://es.schoolofdata.org/2016/12/08/como-empezar-a-armar-tu-base-de-datos-sobre-feminicidio/"><span id="u17591-5">Cómo empezar a crear una base de datos sobre feminicidio.</span></a></p>
<p id="u17591-8"> </p>
<p class="Copia-de-NOMAL" id="u17591-14">Si después de responder las preguntas anteriores aún no tienes certeza sobre qué datos pueden ser útiles, recomendamos explorar datos externos. Del Manual de Periodismo de Datos 1.0, el capítulo <a class="nonblock" href="https://es.schoolofdata.org/2016/12/08/como-empezar-a-armar-tu-base-de-datos-sobre-feminicidio/"><span id="u17591-10">"Una Guía para Trabajos de Campo"</span></a><span id="u17591-12"> </span>es útil para identificar fuentes de datos públicos en Internet.</p>
<p id="u17591-15"> </p>
<p class="Copia-de-NOMAL" id="u17591-20">Y si cambian las fuentes de datos previamente identificadas, a través del servicio de Google Alerts, recibe notificaciones por correo electrónico de los cambios en las bases de datos en línea que sean de tu interés. Más detalle en “<a class="nonblock" href="https://es.schoolofdata.org/2016/06/14/como-programar-alertas-para-datos-web-cambiantes/"><span id="u17591-17">Cómo programar alertas para datos web cambiantes</span></a>”</p>
<p id="u17591-21"> </p>
<p id="u17591-23">También es importante identificar qué formatos tienen los datos que requieres. Comúnmente pensamos en números y palabras, pero existen formatos con especificaciones propias, como es el caso de los datos geoespaciales. Estos tutoriales describe los sistemas de coordenadas cartográficas.</p>
<p id="u17591-24"> </p>
<ul class="list0 nls-None" id="u17591-28">
<li class="Copia-de-NOMAL" id="u17591-27"><a class="nonblock" href="https://es.schoolofdata.org/2019/04/01/introduccion-a-los-formatos-de-datos-espaciales/"><span id="u17591-25">Introducción a los formatos de datos espaciales</span></a></li>
</ul>
<p class="Copia-de-NOMAL" id="u17591-29"> </p>
<ul class="list0 nls-None" id="u17591-34">
<li class="Copia-de-NOMAL" id="u17591-33"><a class="nonblock" href="https://es.schoolofdata.org/2019/04/01/que-son-los-sistemas-de-coordenadas-cartograficas/">¿Qué son los sistemas de coordenadas cartográficas?</a><span id="u17591-32"></span></li>
</ul>
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<img class="svg temp_no_img_src" id="u17735" data-orig-src="images/svg-pegado-132261x1322.svg?crc=383421371" width="133" height="132" alt="" data-mu-svgfallback="images/svg%20pegado%20132261x132_poster_2.png?crc=22060186" src="images/blank.gif?crc=4208392903"/>
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<p>OBTENER</p>
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<p id="u17729-2">Una vez identificados, obtener datos fáciles de procesar y analizar puede ser también una tarea compleja. Si no existen o están públicamente disponibles, es necesario generar los datos preguntando directamente a las personas o recabando información desde la calle.</p>
<p id="u17729-3"> </p>
<p id="u17729-16">Para ello puedes utilizar formularios en línea gratuitos como los de <a class="nonblock" href="https://www.google.com/intl/es_mx/forms/about/"><span id="u17729-5">Google</span></a> o <a class="nonblock" href="https://es.surveymonkey.com/"><span id="u17729-8">Surveymonkey</span></a>. Para recabar evidencia adicional a las respuestas de un formulario, incluyendo geolocalización (ei. longitud y latitud), fotografías, audios o videos, tanto en contextos con y sin acceso a Internet, existe <a class="nonblock" href="https://www.kobotoolbox.org/"><span id="u17729-11">Kobo</span></a>. Una guía para su uso está en <a class="nonblock" href="https://socialtic.org/blog/guia-kobo-levantamiento-comunitario-de-datos/"><span id="u17729-14">https://socialtic.org/blog/guia-kobo-levantamiento-comunitario-de-datos/</span></a></p>
<p id="u17729-17"> </p>
<p id="u17729-22">Para solicitar información pública existente pero no disponible, en algunos países y ciudades se deben realizar solicitudes de acceso a la información. Bajo una perspectiva periodística el capítulo "<a class="nonblock" href="http://interactivos.lanacion.com.ar/manual-data/obtener_datos_1.html"><span id="u17729-19">Su Derecho a la Información</span></a>" nos brinda recomendaciones para realizar peticiones de acceso a la información.</p>
<p id="u17729-23"> </p>
<p id="u17729-25">Cuando los datos están en formatos cerrados o no procesables por máquinas, como el papel, algunos PDF o sitios web, se deben utilizar herramientas para la extracción de datos.</p>
<p id="u17729-26"> </p>
<p id="u17729-28">Para extraer datos de imágenes o digitalización de papel a través de mecanismos de reconocimiento de caracteres (OCR) puedes utilizar:</p>
<p id="u17729-29"> </p>
<ul class="list0 nls-None" id="u17729-36">
<li id="u17729-32"><a class="nonblock" href="https://www.abbyy.com/en-us/finereader">ABBYY FineReader</a></li>
<li id="u17729-35"><a class="nonblock" href="http://www.onlineocr.net">Online OCR</a></li>
</ul>
<p id="u17729-37"> </p>
<p id="u17729-39">Para extraer datos desde PDF puedes utilizar:</p>
<p id="u17729-40"> </p>
<ul class="list0 nls-None" id="u17729-50">
<li id="u17729-43"><a class="nonblock" href="https://tabula.technology">Tabula</a></li>
<li id="u17729-46"><a class="nonblock" href="https://www.pdftron.com/pdf-tools/pdf-table-extraction">PDFTron</a></li>
<li id="u17729-49"><a class="nonblock" href="https://www.sejda.com/extract-pdf-pages">Sejda</a></li>
</ul>
<ul class="list0 nls-None" id="u17729-57">
<li id="u17729-53"><a class="nonblock" href="https://www.extractpdf.com">ExtractPDF</a></li>
<li id="u17729-56"><a class="nonblock" href="http://www.pdfconverter.com"><span id="u17729-54">PDF Converter Elite</span></a></li>
</ul>
<p id="u17729-58"> </p>
<p id="u17729-60"><span id="u17729-59">Para extraer datos desde sitios web, puedes utilizar:</span></p>
<p id="u17729-61"> </p>
<ul class="list0 nls-None" id="u17729-74">
<li id="u17729-64"><a class="nonblock" href="https://www.import.io">ImportIO</a></li>
<li id="u17729-67"><a class="nonblock" href="https://www.scrapestorm.com">ScrapeStorm</a></li>
<li id="u17729-70"><a class="nonblock" href="https://www.mozenda.com">Mozenda</a></li>
<li id="u17729-73"><a class="nonblock" href="https://www.octoparse.com">Octoparse</a></li>
</ul>
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<div class="position_content" id="buttonu17780_position_content">
<div class="clip_frame colelem shared_content" id="u17781" data-sizePolicy="fixed" data-pintopage="page_fixedCenter" data-content-guid="u17781_content"><!-- svg -->
<img class="svg temp_no_img_src" id="u17782" data-orig-src="images/svg-pegado-132261x1323.svg?crc=63522810" width="133" height="132" alt="" data-mu-svgfallback="images/svg%20pegado%20132261x132_poster_3.png?crc=280477364" src="images/blank.gif?crc=4208392903"/>
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<p>LIMPIAR</p>
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<p id="u17828-4">La limpieza de datos es necesaria para corregir errores, duplicaciones de valores, homologar formatos a columnas, eliminar caracteres indeseados, estandarizar categorías y unir o separar columnas. Conoce todo lo que debes saber sobre el origen, errores comunes, desconfiguración, formatos de fechas y numéricos, pruebas estadísticas de rutina para comprobar que tu base de datos es confiable a través de la <a class="nonblock" href="https://es.schoolofdata.org/guia-quartz/"><span id="u17828-2">Guía Quarz para la limpieza de datos.</span></a></p>
<p id="u17828-5"> </p>
<p id="u17828-9">Puedes limpiar datos utilizando funciones de hojas de cálculo. Aprende cómo buscar y reemplazar, filtrar y utilizar fórmulas sencillas para limpiar datos en la guía<a class="nonblock" href="https://es.schoolofdata.org/2016/03/21/introduccion-a-limpieza-de-datos-con-excel-cuatro-funciones-que-cambiaran-tu-vida/"><span id="u17828-7"> Introducción a la limpieza de datos con hoja de cálculo</span></a></p>
<p id="u17828-10"> </p>
<p id="u17828-12">Para tareas de limpieza más potentes y de mayor cantidad de datos, es recomendable utilizar Open Refine. Estos tutoriales describen la herramienta y te guían a través de sus funcionalidades:</p>
<p id="u17828-13"> </p>
<ul class="list0 nls-None" id="u17828-17">
<li id="u17828-16"><a class="nonblock" href="https://es.schoolofdata.org/2014/06/30/openrefine/">Open Refine. Qué es + tutorial</a></li>
</ul>
<p id="u17828-18"> </p>
<ul class="list0 nls-None" id="u17828-22">
<li id="u17828-21"><a class="nonblock" href="https://es.schoolofdata.org/2018/05/03/algoritmos-y-clusters-encuentra-errores-y-limpialos-de-manera-facil-con-openrefine/">Algoritmos y clusters: Encuentra errores y límpialos de manera fácil con OpenRefine</a></li>
</ul>
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<img class="svg temp_no_img_src" id="u17833" data-orig-src="images/svg-pegado-132261x1324.svg?crc=3884438100" width="133" height="132" alt="" data-mu-svgfallback="images/svg%20pegado%20132261x132_poster_4.png?crc=3923259507" src="images/blank.gif?crc=4208392903"/>
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<p>ANALIZAR</p>
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<p id="u17882-2">El análisis de datos básicamente busca pedirle respuestas a “preguntas” que se les hacen a una base de datos. Para ello debemos aprovechar herramientas comunes como las hojas de cálculo, así como técnicas de estadística para saber todo lo que los datos "tienen que decir".</p>
<p id="u17882-3"> </p>
<p id="u17882-5">Los siguientes recursos nos guían en distintos niveles de análisis de datos:</p>
<p id="u17882-6"> </p>
<ul class="list0 nls-None" id="u17882-11">
<li id="u17882-10">Guía: <a class="nonblock" href="https://es.schoolofdata.org/analisis-basico">Análisis básico con hojas de cálculo</a></li>
</ul>
<p id="u17882-12"> </p>
<ul class="list0 nls-None" id="u17882-16">
<li id="u17882-15"><a class="nonblock" href="https://youtu.be/UTbnf0bAspQ"><span id="u17882-13">Webinar: Uso básico de hojas de cálculo</span></a></li>
</ul>
<p id="u17882-17"> </p>
<ul class="list0 nls-None" id="u17882-21">
<li id="u17882-20"><a class="nonblock" href="https://support.google.com/docs/table/25273?visit_id=636972790073645142-1550532270&hl=es&rd=2"><span id="u17882-18">Lista de funciones de Hojas de cálculo de Google</span></a></li>
</ul>
<p id="u17882-22"> </p>
<ul class="list0 nls-None" id="u17882-26">
<li id="u17882-25"><a class="nonblock" href="https://youtu.be/GXjOeIOMxkM"><span id="u17882-23">Webinar: Análisis de datos sin morir en el intento</span></a></li>
</ul>
<p id="u17882-27"> </p>
<ul class="list0 nls-None" id="u17882-31">
<li id="u17882-30"><a class="nonblock" href="https://es.schoolofdata.org/2015/08/24/graficos-y-analisis-estadistico-ver-para-creer/"><span id="u17882-28">Gráficos y análisis estadístico: ver para creer</span></a></li>
</ul>
<p id="u17882-32"> </p>
<ul class="list0 nls-None" id="u17882-36">
<li id="u17882-35"><a class="nonblock" href="https://es.schoolofdata.org/2015/04/05/el-metodo-parte-1/"><span id="u17882-33">Métodos para llegar a conclusiones Parte 1</span></a></li>
</ul>
<p id="u17882-37"> </p>
<ul class="list0 nls-None" id="u17882-41">
<li id="u17882-40"><a class="nonblock" href="https://es.schoolofdata.org/2015/04/07/el-metodo-parte-2/"><span id="u17882-38">Métodos para llegar a conclusiones Parte 2</span></a></li>
</ul>
<p id="u17882-42"> </p>
<ul class="list0 nls-None" id="u17882-46">
<li id="u17882-45"><a class="nonblock" href="https://es.schoolofdata.org/2015/03/16/en-defensa-de-la-mediana/"><span id="u17882-43">En defensa de la mediana</span></a></li>
</ul>
<p id="u17882-47"> </p>
<ul class="list0 nls-None" id="u17882-51">
<li id="u17882-50"><a class="nonblock" href="https://es.schoolofdata.org/2014/11/19/el-uso-de-la-estadistica-para-tu-conveniencia/"><span id="u17882-48">Estadística conveniente: absolutos vs proporcionales</span></a></li>
</ul>
<p id="u17882-52"> </p>
<ul class="list0 nls-None" id="u17882-56">
<li id="u17882-55"><a class="nonblock" href="https://es.schoolofdata.org/2015/01/28/un-mito-genial-la-correlacion/"><span id="u17882-53">La correlación</span></a></li>
</ul>
<p id="u17882-57"> </p>
<p id="u17882-59">Cuando analizamos datos geográficos, es importante conocer cómo hacer mapas. Esas guías nos facilitan aprender a hacer mapas y utilizar distintas herramientas:</p>
<p id="u17882-60"> </p>
<ul class="list0 nls-None" id="u17882-64">
<li id="u17882-63"><a class="nonblock" href="https://es.schoolofdata.org/2019/04/01/creacion-de-mapas-en-qgis/"><span id="u17882-61">Creación de mapas en QGIS</span></a></li>
</ul>
<p id="u17882-65"> </p>
<ul class="list0 nls-None" id="u17882-69">
<li id="u17882-68"><a class="nonblock" href="https://es.schoolofdata.org/2016/09/21/usando-carto-como-unir-mi-base-de-datos-con-un-mapa-de-poligonos/"><span id="u17882-66">Usando Carto: ¿Cómo unir mi base de datos con un mapa de polígonos?</span></a></li>
</ul>
<p id="u17882-70"> </p>
<ul class="list0 nls-None" id="u17882-74">
<li id="u17882-73"><a class="nonblock" href="https://es.schoolofdata.org/2017/10/12/haciendo-mapas-con-arcgis-en-linea/"><span id="u17882-71">Haciendo mapas con ArcGIS en línea</span></a></li>
</ul>
<p id="u17882-75"> </p>
<ul class="list0 nls-None" id="u17882-79">
<li id="u17882-78"><a class="nonblock" href="https://es.schoolofdata.org/2014/12/15/mapas-y-d3-js/"><span id="u17882-76">Mapas y D3.js</span></a></li>
</ul>
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<p>ACCIONAR</p>
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<p id="u17933-2">El impacto de los análisis de los datos puede ser internos, tomando decisiones basadas en datos, o externos, influenciando a otras personas con mensajes basados en datos.</p>
<p id="u17933-3"> </p>
<p id="u17933-5">Para identificar las tácticas y elementos que componen la comunicación basada en datos se recomienda consultar estos recursos:</p>
<p id="u17933-6"> </p>
<ul class="list0 nls-None" id="u17933-10">
<li id="u17933-9"><a class="nonblock" href="https://socialtic.org/guias/GuiaIA_Digital.pdf">Guía de Infoactivismo</a></li>
</ul>
<p id="u17933-11"> </p>
<ul class="list0 nls-None" id="u17933-15">
<li id="u17933-14"><a class="nonblock" href="https://infoactivismo.org/manual-visualizar-informacion-para-la-incidencia">Visualizar para la Incidencia</a></li>
</ul>
<p id="u17933-16"> </p>
<ul class="list0 nls-None" id="u17933-20">
<li id="u17933-19"><a class="nonblock" href="https://youtu.be/QlYIGBOcgsQ">Webinar consideraciones y ejemplos latinoamericanos sobre narrativas basadas en datos</a></li>
</ul>
<p id="u17933-21"> </p>
<ul class="list0 nls-None" id="u17933-25">
<li id="u17933-24"><a class="nonblock" href="https://es.schoolofdata.org/2017/08/09/como-elegir-graficos-segun-las-seis-w-del-periodismo">¿Cómo elegir gráficos?</a></li>
</ul>
<p id="u17933-26"> </p>
<p id="u17933-28">Existen muchas herramientas que permiten visualizar datos, incluyendo:</p>
<p id="u17933-29"> </p>
<ul class="list0 nls-None" id="u17933-33">
<li id="u17933-32"><a class="nonblock" href="https://infogram.com">Infogr.am</a></li>
</ul>
<p id="u17933-34"> </p>
<ul class="list0 nls-None" id="u17933-38">
<li id="u17933-37"><a class="nonblock" href="https://piktochart.com">Piktochart</a></li>
</ul>
<p id="u17933-39"> </p>
<ul class="list0 nls-None" id="u17933-46">
<li id="u17933-45"><a class="nonblock" href="https://www.tableau.com/es-es">Tableau</a> <a class="nonblock" href="https://es.schoolofdata.org/2016/12/29/como-hacer-visualizaciones-de-datos-con-tableau/">ver tutorial</a></li>
</ul>
<p id="u17933-47"> </p>
<ul class="list0 nls-None" id="u17933-54">
<li id="u17933-53"><a class="nonblock" href="https://flourish.studio">Flourish</a> <a class="nonblock" href="https://es.schoolofdata.org/2018/07/12/flourish-visualizaciones-faciles-en-base-a-plantillas/">ver tutorial</a></li>
</ul>
<p id="u17933-55"> </p>
<ul class="list0 nls-None" id="u17933-62">
<li id="u17933-61"><a class="nonblock" href="https://www.datawrapper.de">Datawrapper</a> <a class="nonblock" href="https://es.schoolofdata.org/2016/09/15/visualizacion-basica-para-periodismo">ver tutorial</a></li>
</ul>
<p id="u17933-63"> </p>
<ul class="list0 nls-None" id="u17933-67">
<li id="u17933-66"><a class="nonblock" href="https://knightlab.northwestern.edu/projects">KnightLab</a></li>
</ul>
<p id="u17933-68"> </p>
<p id="u17933-73">Y finalmente, la siguiente <a class="nonblock" href="https://socialtic.org/blog/pon-a-prueba-tus-visualizaciones-10-pasos-y-aprendizajes-para-mejorar-su-impacto/"><span id="u17933-70">guía</span></a> establece los elementos para evaluar el impacto de las visualizaciones de datos.</p>
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<p>SÍGUENOS EN:</p>
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