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```{r, include = FALSE} |
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```{r, include = FALSE} |
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library(ggplot2) |
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library(dplyr) |
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library(tidyverse) |
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library(DT) |
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library(knitr) |
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opts_chunk$set(echo = F, |
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warning = F, |
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error = F, |
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message = F) |
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options(DT.options = list(paging = F, |
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info = F, |
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searching = F)) |
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datatable <- partial(datatable, rownames = F) |
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``` |
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``` |
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class: center, middle, title |
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class: center, middle, title |
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@@ -38,6 +49,11 @@ class: center, middle |
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## Visualisation de données tabulaires |
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## Visualisation de données tabulaires |
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--- |
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class: center, middle |
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# Principes de design |
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--- |
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--- |
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class: center |
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class: center |
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@@ -53,7 +69,7 @@ class: center |
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### ... |
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### ... |
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--- |
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class: center,middle |
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class: center |
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# *Principes* de design |
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# *Principes* de design |
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@@ -64,7 +80,7 @@ Autant de principes que de designers |
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[https://principles.design](https://principles.design) |
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[https://principles.design](https://principles.design) |
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--- |
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--- |
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class: center,middle |
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class: center |
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# Principes de design |
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# Principes de design |
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@@ -76,8 +92,7 @@ class: center,middle |
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### Contraste |
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### Contraste |
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--- |
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class: center,middle |
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class: middle |
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# Unité / Harmonie |
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# Unité / Harmonie |
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@@ -92,8 +107,7 @@ class: center,middle |
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.pull-right[![:scale 100%](03_img/princ_unite.png)] |
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.pull-right[![:scale 100%](03_img/princ_unite.png)] |
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--- |
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--- |
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class: center,middle |
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class: middle |
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# Motifs |
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# Motifs |
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@@ -106,8 +120,7 @@ class: center,middle |
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.pull-right[![:scale 100%](03_img/princ_motif.png)] |
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.pull-right[![:scale 100%](03_img/princ_motif.png)] |
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--- |
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--- |
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class: center,middle |
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class: middle |
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# Équilibre |
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# Équilibre |
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@@ -124,7 +137,7 @@ class: center,middle |
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.pull-right[![:scale 100%](03_img/princ_equilibre.png)] |
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.pull-right[![:scale 100%](03_img/princ_equilibre.png)] |
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--- |
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--- |
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class:center,middle |
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class: middle |
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# Hiérarchisation |
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# Hiérarchisation |
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@@ -143,7 +156,7 @@ class:center,middle |
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.pull-right[![:scale 80%](03_img/princ_hierarch.png)] |
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.pull-right[![:scale 80%](03_img/princ_hierarch.png)] |
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--- |
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class: center,middle |
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class: middle |
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# Mouvement |
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# Mouvement |
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@@ -158,7 +171,7 @@ class: center,middle |
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.pull-right[![:scale 100%](03_img/princ_mouvement.png)] |
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.pull-right[![:scale 100%](03_img/princ_mouvement.png)] |
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--- |
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--- |
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class:center,middle |
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class: middle |
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# Contraste |
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# Contraste |
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@@ -211,3 +224,145 @@ class:center, middle |
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class:center, middle |
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class:center, middle |
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![](03_img/devourThePie3.gif) |
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![](03_img/devourThePie3.gif) |
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--- |
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class: center, middle |
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# Visualisation de données tabulaires |
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--- |
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class:center |
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# Excel |
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![](03_img/excel_data.png) |
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--- |
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class:center, middle |
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![](03_img/excel_menu.png) |
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--- |
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class:center, middle |
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![](03_img/excel_graph.png) |
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--- |
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# Edgar F Codd |
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.pull-left[ |
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### 1923 - 2003 |
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### Prix Turing 1981 |
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### Inventeur des **modèles relationnels** pour la gestion de bases de données |
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### Définition des formes normales dans un papier de conférence en **1971** |
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] |
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.pull-right[![](03_img/Edgar_F_Codd.jpg)] |
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--- |
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# Formes normales |
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## 1NF : une donnée par cellule |
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*Le domaine de chaque attribut ne contient que des données atomiques* |
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## 2NF : 1NF + attributs par clé |
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*Un attribut non-clé ne dépend pas d'une partie de la clé mais de toute la clé* |
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## 3NF : 2NF + attributs de la clé indépendants les uns des autres |
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*Un attribut non-clé ne déponde pas d'un ou plusieurs attributs ne participant pas à la clé* |
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--- |
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class: center |
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# 1NF |
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.tiny[ |
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```{r 0nf} |
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data.frame(Produit = "TV", |
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Fournisseur = "samsung, sony") %>% |
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datatable |
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``` |
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] |
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↓ |
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```{r 1nf} |
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data.frame(Produit = c("TV", "TV"), |
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Fournisseur = c("samsung", "sony")) %>% |
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datatable |
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``` |
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--- |
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class: center |
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# 2NF |
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```{r 2nf} |
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data.frame(Produit = c("TV", "Phone", "TV"), |
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Fournisseur = c("Samsung", "Samsung", "Sony"), |
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Ville = c("Seoul", "Seoul", "Tokyo")) %>% |
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datatable |
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``` |
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↓ |
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```{r 2nf ok} |
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data.frame(Produit = c("TV", "Phone", "TV"), |
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Fournisseur = c("Samsung", "Samsung", "Sony")) %>% |
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datatable |
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data.frame(Fournisseur = c("Samsung", "Sony"), |
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Ville = c("Seoul", "Tokyo")) %>% |
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datatable |
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``` |
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class: center |
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# 3NF |
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```{r 3nf} |
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data.frame(Fournisseur = c("Samsung", "Sony"), |
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Ville = c("Seoul", "Tokyo"), |
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Pays = c("Corée du sud", "Japon")) %>% |
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datatable |
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``` |
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↓ |
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```{r 3nf ok} |
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data.frame(Fournisseur = c("Samsung", "Sony"), |
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Ville = c("Seoul", "Tokyo")) %>% |
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datatable |
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data.frame(Ville = c("Seoul", "Tokyo"), |
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Pays = c("Corée", "Japon")) %>% |
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datatable |
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``` |
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--- |
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class: center |
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# À plat |
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```{r flat} |
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data.frame(Produit = c("TV", "Phone", "TV"), |
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Fournisseur = c("Samsung", "Samsung", "Sony"), |
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Ville = c("Seoul", "Seoul", "Tokyo"), |
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Pays = c("Corée", "Corée", "Japon")) %>% |
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datatable |
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``` |
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### Opération facile à réaliser |
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### Chaque observation contient toute l'information |
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--- |
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class: center |
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# Avec ggplot2 |
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### Relation **1:1** entre *observation* et unité de *geometry* |
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### Valeur d'*aesthetic* directement accessible par *observation* |