Diferencias

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--- personas:brolin:data_analisis:visualizacion [2017/07/27 00:03] – brolin
+++ personas:brolin:data_analisis:visualizacion [2020/08/24 21:51] (actual) – [Referentes] brolin
@@ Línea 1: / Línea 1: @@
 ====== Visualización ======
+  * {{https://pbs.twimg.com/media/Cy7iwj_VIAAijAs.jpg?800}}
+  * We investigated how data-driven stories work, how they are different from other types of narratives and also other types of data visualization. -> http://napa-cards.net/#info
 <html>
@@ Línea 10: / Línea 14: @@
-http://infowetrust.com/history/
+  * http://infowetrust.com/history/
 {{:personas:brolin:data_analisis:pasted:20170110-143733.png?800}}
-Data Humanism
+  * Data Humanism
 https://medium.com/@giorgialupi/data-humanism-the-revolution-will-be-visualized-31486a30dbfb#.huv43zpei
-Visualización de información
+  * Visualización de información
 Según Tufte http://www.edwardtufte.com/tufte:
@@ Línea 47: / Línea 51: @@
 http://datastori.es/ds-56-amanda-cox-nyt/
+A collection of open access visualization research at the VIS 2017 conference. Info about the symbols and open access. To edit the data, see GitHub. -> http://oavis.steveharoz.com/\\
+Data Visualization for Social Science -> http://socviz.co\\
+**Libros de R**\\
+http://r4ds.had.co.nz/tidy-data.html\\
+https://adv-r.hadley.nz/\\
+**Dashboard design**
+https://www.displayr.com/8-types-of-online-dashboards/?utm_medium=Feed&utm_source=Syndication
+===== Referentes =====
+https://distill.pub/2016/misread-tsne/?utm_content=buffera4d62&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer\\
+**AMA's**
+''Calendario'' -> https://calendar.google.com/calendar/embed?src=dataisbeautifulama@gmail.com&amp;amp;amp;amp;ctz=America/New_York\\
+https://www.reddit.com/r/dataisbeautiful/comments/75q0qi/im_shirley_wu_freelance_data_visualization/\\
+https://www.reddit.com/r/dataisbeautiful/comments/72c06m/im_elijah_meeks_author_of_d3js_in_action_and/\\
+https://www.reddit.com/r/dataisbeautiful/comments/3k3if4/hi_im_mike_bostock_creator_of_d3js_and_a_former/\\
+**Multivariate Maps**
+http://vallandingham.me/multivariate_maps.html
+**Libro ** http://socviz.co/lookatdata.html
+{{:personas:brolin:data_analisis:2018-07-15-195652_1154x758_scrot.png | }}is a classification of chart types based on input data format. It comes in the form of a decision tree leading to a set of potentially appropriate visualizations to represent the dataset. -> https://www.data-to-viz.com/#connection
+Chart Maker -> http://chartmaker.visualisingdata.com/
+Map Pins
+{{:personas:brolin:data_analisis:2019-08-31-201911_673x511_scrot.png|}}
+https://99percentinvisible.org/article/cartopinography-the-unlikely-study-of-map-pins-flags-beads-other-markers/
+**Top 50 ggplot2 Visualizations - The Master List (With Full R Code)**
+http://r-statistics.co/Top50-Ggplot2-Visualizations-MasterList-R-Code.html
+===== Referentes =====
+  * https://www.nytimes.com/interactive/2020/08/24/climate/racism-redlining-cities-global-warming.html