Data journalism 2013

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  • 1. Data journalism vs Data trash.

2. : , , : 3. : , , 4. : . . . - ? ? - - - 5. Plan 6. ? ? ? ? 7. / datadriven journalism , . , " " " ". :) 8. : 9. vs 10. 55 11. : 12. 2013 ? 13. ? 14. , ... 15 15. 60 New York Times Snowfall: 13 - (!)http://multimedia.journalism.berkeley.edu/tutorials/digita transform/websites/ 16. ? 17. New York Times Snowfall 6 10 , , , ... 2.9 6 http://www.nytimes.com/projects/2012/snow-fall/ 18. New York Times Snowfall 19. Snowfalling http://www.nrc.nl/kunsthal-en/ Pitchfork Rolling stone Boingboing.net... 20. ? : 21. ?: . . 22. ? 23. ? // , ? 24. ?/ 25. ?/ 26. 27. 28. http://wtfviz.net/image/62517516746 29. ?http://www.people-press.org/2012/09/27/section-1-watching-reading-and-listening-tothe-news-3/ 30. http://www.slashgear.com/pew-report-shows-facebook-delivers-the-news-to-20-percentof-americans-27303225/ 31. Suppose you are an evil genius constructing a device for plunging rational, well-meaning people into furious arguments. What would your Argument Machine look like? Probably it would encourage people to pepper one another with assertions in public. It would allow bystanders to repeat comments out of context: Nothing creates a fight faster than in-group language overheard by the out-group In fact: it would be Twitter Derek Powazek The Argument Machine 32. ? ! , - 15 - - ... - , ... 33. #TRASHhttp://wtfviz.net/image/62517516746 34. ? 35. 36. , ... , 37. , ...http://wtfviz.net/image/62517516746 38. , 1918 39. - , . ? - - - - ? - . 10 40. ? - ? ? ? ? ? ? , , ? - - = 41. , ...http://wtfviz.net/image/62517516746 42. : , , , , ... 43. , 15 ( ) : , . 44. , ? ? ? ? 45. ? = = , ? ? ? 46. 2013 - : - - - 47. 2013 - http://wheredoesmymoneygo.org/dailybread.htmlhttp://wheredoesmymoneygo.org/dailybread.html 48. Belapan Belapan 49. Belapan Belapan : , , 50. Greenmap.by 51. Opendata.byhttp://openspending.org/minsk-ved-all-test 52. Opendata.by : 1) PDF c 2) pdftotext 3) OpenSpending https://github.com/openspending/datatoload/is sues/4 53. 2013 - http://citydog.by 54. 2013 - http://citydog.b 55. Opendata.by 56. Opendata.by 57. Opendata.by ? ! 58. 2009http://www.ted.com/talks/tim_berners_lee_the_year_open_data_went_worldwide.html 59. freeway.by 60. freeway.by - 7080% , (513 625 ) - 61. 62. 63. 28 64. ?http://citydog.by/post/greenminsk/ 65. ? 66. , ... http://citydog.by/post/greenminsk/ 67. http://blog.23andme.com/23andme-research/genes-and-geography/ https://www.23andme.com/about/factoid/pca_sociocultural / 68. ?http://blog.23andme.com/23andme-research/genes-and-geography/ https://www.23andme.com/about/factoid/pca_sociocultural / 69. #TRASHhttp://zerohora.clicrbs.com.br/rs/economia/campo-e-lavoura/noticia/2013/10/como-produzir-uma- 70. 512 http://www.nytimes.com/interactive/2012/11/02/us/politics/paths-to-the-white-house.html?_r=0 71. : Google Fusion Tableshttp://www.poynter.org/how-tos/digital-strategies/141788/how-to-map-data-onto-counties-districtsusing-shpescape/ 72. , Aaron Koblinhttp://www.aaronkoblin.com/work/flightpatterns/index.html 73. http://public.tableausoftware.com/views/Civic_0/ Dashboard1?:embed=y&:display_count=no http://public.tableausoftware.com/views/GoT/Go T?:embed=y&:display_count=no 74. 75. 76. ? Jean-Baptiste Michel + Erez Lieberman Aiden: What we learned from 5 million bookshttp://www.ted.com/talks/what_we_learned_from_5_millio n_books.html 77. ? Jean-Baptiste Michel + Erez Lieberman Aiden: What we learned from 5 million bookshttp://www.ted.com/talks/what_we_learned_from_5_millio n_books.html 78. : Google n-gram viewerhttps://books.google.com/ngrams/graph?content=Belarus%2Chttps://books.google.com/ngrams/graph?content=Kurapaty&yhttp://www.ted.com/talks/what_we_learned_from_5_millio n_books.html 79. ? 80. : Google Fusion Tableshttp://www.poynter.org/how-tos/digital-strategies/141788/how-to-map-data-onto-counties-districtsusing-shpescape/ 81. Google Fusion Tables https://sites.google.com/site/fusiontablestalks https://www.google.com/fusiontables/data?docid=1z-T 82. 2013.11.03 Scraping with c:https://docs.google.com/spreadsheet/ccc?key=0AiRry =ImportHtml("http://be.wikipedia.org/wiki/ %D0%A1%D0%B5%D0%BB%D1%8C %D1%81%D0%BA%D0%B0%D1%8F_ %D0%B3%D0%B0%D1%81%D0%BF %D0%B0%D0%B4%D0%B0%D1%80%D0%B A%D0%B0_%D0%91%D0%B5%D0%BB %D0%B0%D1%80%D1%83%D1%81%D1%9 6","table", 1) 83. Scraping with Google Docs 84. , , , .. , , , - , , . 85. 86. 87. ( New York Times) . , , , . 88. 5http://www.nytimes.com/projects/2013/china-art-fraud/ 89. NYT: revelation that the $65.4 million sale of Eagle Standing on a Pine Tree a 1946 ink painting by Qi Baishi, never in fact happened. That was the public auction price, but then the buyer never paid. a good third of the public auction-result data should be simply ignored, on the grounds that the pieces in question never actually sold. This includes, ironically enough, the clever interactive chart in the NYT article itself, showing the best-selling artists in the world from 2006 through 2012. http://blogs.reuters.com/felix-salmon/2013/10/28/chinas-broken-art-market/ 90. http://www.bloomberg.com/visual-data/best-and-worst/top-selling-born-since-1980-artists 91. ...http://www.bloomberg.com/visual-data 92. ...http://www.bloomberg.com/visual-data 93. ...http://www.bloomberg.com/visual-data 94. http://www.tips-for-excel.com/data-visuals/tableau-pu 95. Excel+tableau video http://www.tableausoftware.com/re-creating-andextending-excel-methods? elq=e2e5658c87cc47208df725567ecda0ae 96. http://www.theguardian.com/data 97. http://www.theguardian.com/data 98. , . pie chart, , . . , , . . 99. 90 , , , PDF Excel, , , . 100. , , wow . , . 101. XLS - , ,, , , . 102. CSV - ( . Comma-Separated Values , ) , . . (delimiter) (,). , CSV . 103. JSON - (. JavaScript Object Notation) , JavaScript . , JSON . JavaScript (, ECMA-262), . JSON. 104. Excel - , . , MySQL CSV . JSON PHP (Guzzle). . UTF-8 without BOM 105. UTF-8 without BOM , . 106. : http://data.worldbank.org/country/belarus 107. 108. : , . , , . http://data.stackexchange.com/ http://www.freebase.com/ http://www.data.gouv.fr/ http://www.data.gov/ 109. http://data.stackexchange.com/ http://www.freebase.com/ http://www.data.gouv.fr/ http://www.data.gov/ http://data.gov.uk/ http://data.worldbank.org/ http://opengovdata.ru/ PublicData.eu - 110. ?http://www.tableausoftware.com/public/community/sam :) 111. pdf, / : (OpenData.by) 112. - . C ! - - . "K , " " , , !! , ?" - embedded: 650 . , http://www.datarevelations.com/hey-your-tableau-public-viz-is-ugly-and :) confusing.html 113. - embedded: 650 . , :) - " "http://www.datarevelations.com/hey-your-tableau-public-viz-is-ugly-andconfusing.html 114. 115. ! 116. - "" - : - . -, ( ) 117. : , , Open Refine, Drupal Tableau Public. 118. 6. : : . ( ) 119. TABLEAU PRACTICE 120. TABLEAU PRACTICEhttp://www.theguardian.com/news/datablog/gallery/2013/aug/01/16-useless-infographics#/? picture=414074058&index=3 121. TABLEAU PRACTICEhttp://kb.tableausoftware.com/articles/knowledgebase/creating-filled-maps-pie-charts 122. ? - - https://docs.google.com/spreadsheet/ccc? key=0AiRryYZc6KR2dFJZTW5XVWdRV1ozdX RrdkxtRFV3UUE&usp=drive_web#gid=0 123. Gleb Kanunnikau @whitebluewhite Igor Kandyba @meramo