class: center, middle, title # UE Visualisation ### 2019-2020 ## Dr. Maxime Wack ### AHU Informatique médicale #### Hôpital Européen Georges Pompidou, </br> Université de Paris --- # Données tabulaires .center[Chargement des données avec `read_csv`] ```r read_csv("lab03_data/notes.csv") -> notes ``` <div id="htmlwidget-a9f909b507366e2763fd" style="width:100%;height:auto;" class="datatables html-widget"></div> <script type="application/json" data-for="htmlwidget-a9f909b507366e2763fd">{"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> --- # Pivot .center[Données *wide* → *long*] ```r pivot_longer(notes, Alice:David, names_to = "Prénom", values_to = "Note") -> notes_long ``` <div id="htmlwidget-744a3944844d231f7996" style="width:100%;height:auto;" class="datatables html-widget"></div> <script type="application/json" data-for="htmlwidget-744a3944844d231f7996">{"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> --- # Pivot .center[Données *long* → *wide*] ```r pivot_wider(notes_long, names_from = Prénom, values_from = Note) ``` <div id="htmlwidget-206da931c15e14bd710f" style="width:100%;height:auto;" class="datatables html-widget"></div> <script type="application/json" data-for="htmlwidget-206da931c15e14bd710f">{"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> --- # Exercices Utiliser les fonctions de `pivot_*` pour exprimer le dataset `gapminder` de différentes manières. ### Représenter l'intégralité sous forme clé-valeur Chaque ligne ne doit porter qu'une valeur de `lifeExp`, `gdpPercap` ou `pop`, pour chaque pays et chaque année. ### Représenter un pays par ligne Une seule ligne par pays, toutes les années × indicateur doivent donner lieu à une nouvelle colonne ### Reformer gapminder à partir du précédent exercice