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  1. <!DOCTYPE html>
  2. <html xmlns="http://www.w3.org/1999/xhtml" lang="" xml:lang="">
  3. <head>
  4. <title>Données tabulaires</title>
  5. <meta charset="utf-8" />
  6. <meta name="author" content="Maxime Wack" />
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  19. <body>
  20. <textarea id="source">
  21. class: center, middle, title
  22. # UE Visualisation
  23. ### 2019-2020
  24. ## Dr. Maxime Wack
  25. ### AHU Informatique médicale
  26. #### Hôpital Européen Georges Pompidou, &lt;/br&gt; Université de Paris
  27. ---
  28. # Données tabulaires
  29. .center[Chargement des données avec `read_csv`]
  30. ```r
  31. read_csv("lab03_data/notes.csv") -&gt; notes
  32. ```
  33. <div id="htmlwidget-94c0f5d1381e56fb5881" style="width:100%;height:auto;" class="datatables html-widget"></div>
  34. <script type="application/json" data-for="htmlwidget-94c0f5d1381e56fb5881">{"x":{"filter":"none","data":[["1/1/2019","1/15/2019","2/1/2019","2/15/2019","3/1/2019","3/15/2019","4/1/2019","4/15/2019","5/1/2019","5/15/2019"],[14,16,15,17,14,15,13,15,16,17],[10,11,11,10,15,13,12,12,13,11],[18,19,18,19,19,20,19,19,17,18],[9,10,12,11,14,13,14,15,14,15]],"container":"<table class=\"display\">\n <thead>\n <tr>\n <th>Date<\/th>\n <th>Alice<\/th>\n <th>Bob<\/th>\n <th>Claire<\/th>\n <th>David<\/th>\n <\/tr>\n <\/thead>\n<\/table>","options":{"paging":false,"info":false,"searching":false,"columnDefs":[{"className":"dt-right","targets":[1,2,3,4]}],"order":[],"autoWidth":false,"orderClasses":false}},"evals":[],"jsHooks":[]}</script>
  35. ---
  36. # Pivot
  37. .center[Données *wide* → *long*]
  38. ```r
  39. pivot_longer(notes,
  40. Alice:David,
  41. names_to = "Prénom",
  42. values_to = "Note") -&gt; notes_long
  43. ```
  44. <div id="htmlwidget-3265d78dc11fed97ef02" style="width:100%;height:auto;" class="datatables html-widget"></div>
  45. <script type="application/json" data-for="htmlwidget-3265d78dc11fed97ef02">{"x":{"filter":"none","data":[["1/1/2019","1/1/2019","1/1/2019","1/1/2019","1/15/2019","1/15/2019","1/15/2019","1/15/2019","2/1/2019","2/1/2019","2/1/2019","2/1/2019","2/15/2019","2/15/2019","2/15/2019","2/15/2019","3/1/2019","3/1/2019","3/1/2019","3/1/2019","3/15/2019","3/15/2019","3/15/2019","3/15/2019","4/1/2019","4/1/2019","4/1/2019","4/1/2019","4/15/2019","4/15/2019","4/15/2019","4/15/2019","5/1/2019","5/1/2019","5/1/2019","5/1/2019","5/15/2019","5/15/2019","5/15/2019","5/15/2019"],["Alice","Bob","Claire","David","Alice","Bob","Claire","David","Alice","Bob","Claire","David","Alice","Bob","Claire","David","Alice","Bob","Claire","David","Alice","Bob","Claire","David","Alice","Bob","Claire","David","Alice","Bob","Claire","David","Alice","Bob","Claire","David","Alice","Bob","Claire","David"],[14,10,18,9,16,11,19,10,15,11,18,12,17,10,19,11,14,15,19,14,15,13,20,13,13,12,19,14,15,12,19,15,16,13,17,14,17,11,18,15]],"container":"<table class=\"display\">\n <thead>\n <tr>\n <th>Date<\/th>\n <th>Prénom<\/th>\n <th>Note<\/th>\n <\/tr>\n <\/thead>\n<\/table>","options":{"paging":false,"info":false,"searching":false,"columnDefs":[{"className":"dt-right","targets":2}],"order":[],"autoWidth":false,"orderClasses":false}},"evals":[],"jsHooks":[]}</script>
  46. ---
  47. # Pivot
  48. .center[Données *long* → *wide*]
  49. ```r
  50. pivot_wider(notes_long,
  51. names_from = Prénom,
  52. values_from = Note)
  53. ```
  54. <div id="htmlwidget-1496fd73ac98b39c4291" style="width:100%;height:auto;" class="datatables html-widget"></div>
  55. <script type="application/json" data-for="htmlwidget-1496fd73ac98b39c4291">{"x":{"filter":"none","data":[["1/1/2019","1/15/2019","2/1/2019","2/15/2019","3/1/2019","3/15/2019","4/1/2019","4/15/2019","5/1/2019","5/15/2019"],[14,16,15,17,14,15,13,15,16,17],[10,11,11,10,15,13,12,12,13,11],[18,19,18,19,19,20,19,19,17,18],[9,10,12,11,14,13,14,15,14,15]],"container":"<table class=\"display\">\n <thead>\n <tr>\n <th>Date<\/th>\n <th>Alice<\/th>\n <th>Bob<\/th>\n <th>Claire<\/th>\n <th>David<\/th>\n <\/tr>\n <\/thead>\n<\/table>","options":{"paging":false,"info":false,"searching":false,"columnDefs":[{"className":"dt-right","targets":[1,2,3,4]}],"order":[],"autoWidth":false,"orderClasses":false}},"evals":[],"jsHooks":[]}</script>
  56. ---
  57. # Exercices
  58. Utiliser les fonctions de `pivot_*` pour exprimer le dataset `gapminder` de différentes manières.
  59. ### Représenter l'intégralité sous forme clé-valeur
  60. Chaque ligne ne doit porter qu'une valeur de `lifeExp`, `gdpPercap` ou `pop`, pour chaque pays et chaque année.
  61. ### Représenter un pays par ligne
  62. Une seule ligne par pays, toutes les années × indicateur doivent donner lieu à une nouvelle colonne
  63. ### Reformer gapminder à partir du précédent exercice
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