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2017-09 [2017/10/09 04:14]
aiscarvalho created
2017-09 [2017/10/09 04:26] (current)
aiscarvalho
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            * extracting narratives from data            * extracting narratives from data
        * How old is data journalism? ~10 years        * How old is data journalism? ~10 years
-           * google ngram (tool that analyses words in books, in English): ​no results for 'data journalism'​ from 1800-2008 ​[https://​books.google.com/​ngrams/​graph?​content=%22data+journalism%22\&​year\_start=1800\&​year\_end=2017\&​corpus=15\&​smoothing=3\&​share=\&​direct]  +           * google ngram (tool that analyses words in books, in English): ​[[https://​books.google.com/​ngrams/​graph?​content=%22data+journalism%22\&​year\_start=1800\&​year\_end=2017\&​corpus=15\&​smoothing=3\&​share=\&​direct ​| no results for 'data journalism'​ from 1800-2008]]  
-           * google trends for 'data journalism': ​[https://​trends.google.com/​trends/​explore?​date=all\&​q=data%20journalism] +           * google trends for [[https://​trends.google.com/​trends/​explore?​date=all\&​q=data%20journalism ​|  'data journalism'​]
-               * comparing trends for '​computer assisted journalism': ​[https://​trends.google.com/​trends/​explore?​date=all\&​q=data%20journalism,​computer%20assisted%20reporting,​data%20visualization] +               * comparing trends for [[https://​trends.google.com/​trends/​explore?​date=all\&​q=data%20journalism,​computer%20assisted%20reporting,​data%20visualization ​| '​computer assisted journalism'​]
-       * Philip Meyer coined the term precision journalism; if journalists started using social science techniques their reporting would become more precise ​([https://​en.wikipedia.org/​wiki/​Philip\_Meyer] )+       ​* ​[[https://​en.wikipedia.org/​wiki/​Philip\_Meyer | Philip Meyer]] coined the term precision journalism; if journalists started using social science techniques their reporting would become more precise
        * Investigative journalism, another related term        * Investigative journalism, another related term
        * hierarchy of '​parts':​ data -> information -> knowledge -> wisdom        * hierarchy of '​parts':​ data -> information -> knowledge -> wisdom
        * Data visualization history goes back in time         * Data visualization history goes back in time 
-           ​* ​Charles Minard'​s ​ map of Napoleon'​s disastrous Russian campaign of 1812: [https://​en.wikipedia.org/​wiki/​Charles\_Joseph\_Minard#/​media/​File:​Minard.png] +           ​* ​[[https://​en.wikipedia.org/​wiki/​Charles\_Joseph\_Minard#/​media/​File:​Minard.png ​| Charles Minard'​s ​ map of Napoleon'​s disastrous Russian campaign of 1812]
-           ​* ​John Snow's Cholera Map: [https://​en.wikipedia.org/​wiki/​1854\_Broad\_Street\_cholera\_outbreak#/​media/​File:​Snow-cholera-map-1.jpg] +           ​* ​[[https://​en.wikipedia.org/​wiki/​1854\_Broad\_Street\_cholera\_outbreak#/​media/​File:​Snow-cholera-map-1.jpg ​ | John Snow's Cholera Map]
-           ​* ​Florence Nightingale,​ the nerd nurse! ​[https://​en.wikipedia.org/​wiki/​Florence\_Nightingale#/​media/​File:​Nightingale-mortality.jpg]+           ​* ​[[https://​en.wikipedia.org/​wiki/​Florence\_Nightingale#/​media/​File:​Nightingale-mortality.jpg ​ ​|Florence Nightingale]] (the nerd nurse <3)
        * What is the data journalism process?        * What is the data journalism process?
            * asking a question/​hypothesis --looking into data            * asking a question/​hypothesis --looking into data
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            * search for data - analyse the data            * search for data - analyse the data
            * and do *something* with that            * and do *something* with that
-       * Simon Rogers (created Guardian Data Blog) proposed a data journalism workflow ([https://​simonrogers.net/​2013/​01/​27/​a-data-journalism-workflow/)]+       * Simon Rogers (created Guardian Data Blog) proposed a [[https://​simonrogers.net/​2013/​01/​27/​a-data-journalism-workflow ​| data journalism workflow]]
        * Mirko Lorenz: data -> filter -> visualize -> story        * Mirko Lorenz: data -> filter -> visualize -> story
        * Bahareh Heravi:        * Bahareh Heravi:
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    * Examples (best sources: Guardian, Financial Times, ProPublica)    * Examples (best sources: Guardian, Financial Times, ProPublica)
        * Guardian: LGBT rights around the world        * Guardian: LGBT rights around the world
-       ​* ​Irish Times: Football tweet visualization for Euro2016 (using Carto): ​[http://​www.irishtimes.com/​sport/​soccer/​twitter-flares-burned-bright-as-scotland-broke-irish-hearts-1.2005562] +       ​* ​[[http://​www.irishtimes.com/​sport/​soccer/​twitter-flares-burned-bright-as-scotland-broke-irish-hearts-1.2005562 ​| Irish Times: Football tweet visualization for Euro2016 ​]] (using Carto) 
-       ​* ​Irih Times: Is your name going out of fashion? One of the most popular/​clicked stories out of the data department ​[https://​www.irishtimes.com/​news/​ireland/​irish-news/​is-your-name-going-out-of-fashion-1.2089357] +       ​* ​[[https://​www.irishtimes.com/​news/​ireland/​irish-news/​is-your-name-going-out-of-fashion-1.2089357 ​| Irih Times]]: Is your name going out of fashion? One of the most popular/​clicked stories out of the data department ​ 
-       * Guardian: ​Where can you afford to buy a house? ​[https://​www.theguardian.com/​society/​ng-interactive/​2015/​sep/​02/​unaffordable-country-where-can-you-afford-to-buy-a-house]+       * Guardian: ​[[https://​www.theguardian.com/​society/​ng-interactive/​2015/​sep/​02/​unaffordable-country-where-can-you-afford-to-buy-a-house ​| Where can you afford to buy a house? ]]
            * we should try to do this one for Portugal!            * we should try to do this one for Portugal!
        * Tools! What's out there? Some tools for journalists (most of them don't require you to learn code)        * Tools! What's out there? Some tools for journalists (most of them don't require you to learn code)
            * carto; infogram; tableau; plotly; google trends/​spreadsheet/​chart;​ timelinejs; highcharts; raw... d3, mapbox, R...             * carto; infogram; tableau; plotly; google trends/​spreadsheet/​chart;​ timelinejs; highcharts; raw... d3, mapbox, R... 
-           * Must read: [https://​www.theguardian.com/​politics/​2017/​jan/​19/​crisis-of-statistics-big-data-democracy] +           * Must read: [[https://​www.theguardian.com/​politics/​2017/​jan/​19/​crisis-of-statistics-big-data-democracy]
-       * [http://​datavizcatalogue.com/​] -- shows not only good viz patterns, but also the tools that can make each of those +       ​* ​[[http://​datavizcatalogue.com/ ​| Dataviz Catalogue]] -- shows not only good viz patterns, but also the tools that can make each of those 
-       * GEN (Global Editors Network) ​Data Journalism Awards -- [http://​datajournalismawards.org] +       * GEN (Global Editors Network) ​[[http://​datajournalismawards.org ​| Data Journalism Awards]
-           * BH working on a study about the winner projects -- [https://​medium.com/​ucd-ischool/​what-makes-a-winning-data-story-7090e1b1d0fc] +           * BH working on a [[https://​medium.com/​ucd-ischool/​what-makes-a-winning-data-story-7090e1b1d0fc ​| study about the winner projects]
-       * [http://​datadrivenjournalism.net] +       ​* ​[[http://​datadrivenjournalism.net ​| Data Driven Journalism]
-       * [http://​datajconf.com/+       ​* ​[[http://​datajconf.com ​| Data Journalism Confernce]
-**Dear Data - **[**http://​dear-data.com/​theproject**]+        
 +        
 +**[[http://​dear-data.com/​theproject ​| Dear Data]]**
  
    * Two designers, Giorgia Lupi and Stefanie Posavec, decided to exchange postcards with hand drawn data visualizations depicting parts of their daily life; get to know each other through data    * Two designers, Giorgia Lupi and Stefanie Posavec, decided to exchange postcards with hand drawn data visualizations depicting parts of their daily life; get to know each other through data
-   * [https://​medium.com/​ucd-ischool/​information-design-at-ucd-17e12e6846e2] -- students were encouraged to find alternative ways to visualize data (avoid bar charts, and more traditional ways)+   ​* ​[[https://​medium.com/​ucd-ischool/​information-design-at-ucd-17e12e6846e2]] -- students were encouraged to find alternative ways to visualize data (avoid bar charts, and more traditional ways)
    * Methodology    * Methodology
        * Design | Legend + information        * Design | Legend + information
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        * record immediately        * record immediately
        * be honest; fake data is not interesting        * be honest; fake data is not interesting
-   ​* ​Full method: ​[http://​fivethirtyeight.com/​features/​dear-data-and-fivethirtyeight-want-you-to-visualize-your-podcast-habits/​] +   ​* ​[[http://​fivethirtyeight.com/​features/​dear-data-and-fivethirtyeight-want-you-to-visualize-your-podcast-habits/ ​|  Full method]
-   * All visualizations available online at: [http://​www.dear-data.com/​by-week]+   * All visualizations available online at: [[http://​www.dear-data.com/​by-week]
 +    
 Discussion and questions: Discussion and questions:
  
-   * data awereness - [https://​visualizingpalestine.org/​] +   * data awereness - [[https://​visualizingpalestine.org/ ​| Visualizing Palestine]
-   * Randall Munroe, visualization about global warming: ​[https://​xkcd.com/​1732/​] -- and other wonderful drawn visualizations +   * Randall Munroe's [[https://​xkcd.com/​1732/ ​| visualization about global warming XKCD]] -- and other wonderful drawn visualizations 
-   * [http://​www.informationisbeautiful.net/​] - beautiful but hard to understand debate; debate on visualization aesthetics vs understandability;​ more artsy side of data representation+   ​* ​[[http://​www.informationisbeautiful.net/​]] - beautiful but hard to understand debate; debate on visualization aesthetics vs understandability;​ more artsy side of data representation
  
  
-* [[https://​github.com/​woop/​awesome-quantified-self/​blob/​master/​README.MD | Awesome Quantified Self]] - lista de aplicações para recolher dados da nossa vida diária. **ATENÇÃO - Ler os termos e condições** +   * [[https://​github.com/​woop/​awesome-quantified-self/​blob/​master/​README.MD | Awesome Quantified Self]] - lista de aplicações para recolher dados da nossa vida diária. **ATENÇÃO - Ler os termos e condições** 
-* [[https://​docs.google.com/​spreadsheets/​d/​11BC0tF2EM\_x6s2T8\_6AZ28mW2py3HiSd0J2JqCYU3cs/​edit?​usp=sharing | Dataset de frutas e vegetais da época]] +   ​* [[https://​docs.google.com/​spreadsheets/​d/​11BC0tF2EM\_x6s2T8\_6AZ28mW2py3HiSd0J2JqCYU3cs/​edit?​usp=sharing | Dataset de frutas e vegetais da época]] 
-* [[https://​vimeo.com/​231899350 | Visualização de transportes públicos em Lisboa]] (João Antunes) +   ​* [[https://​vimeo.com/​231899350 | Visualização de transportes públicos em Lisboa]] (João Antunes) 
-* [[http://​www.dwarshuis.com/​various/​airbnb/​amsterdam ​ | Visualização dos apartamentos no Airbnb, no centro de Amesterdão]]+   ​* [[http://​www.dwarshuis.com/​various/​airbnb/​amsterdam ​ | Visualização dos apartamentos no Airbnb, no centro de Amesterdão]]
  
2017-09.txt · Last modified: 2017/10/09 04:26 by aiscarvalho