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--- economics:r:ggplot2 [2019/04/30 16:22]
Olivier Simard-Casanova
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-<panel type="default">
-{{page>snippets:in-construction&noheader&nofooter}}
-<lead>
-====== ggplot2 ======
-The best library to plot data
-</lead>
-</panel>
-- [Types of graph that ggplot2 can draw](https://ggplot2.tidyverse.org/reference/index.html#section-layer-geoms)
-## Alluvial diagrams
-Requires the `ggalluvial` [package](https://cran.r-project.org/web/packages/ggalluvial/vignettes/ggalluvial.html), on top of `ggplot2` (*via* [Mathieu Perona](https://twitter.com/MathieuPerona/status/1120994707746766848)).
-[Alluvial diagrams](https://en.wikipedia.org/wiki/Alluvial_diagram) are like this (my own production):
-{{ :economics:r:alluvial.png?direct |}}
-You can also use `networkD3` with the function `sankeyNetwork` (*via* [Antoine Belgodere](https://twitter.com/ABelgo_optimum/status/1120996218086273024)): more [here](https://christophergandrud.github.io/networkD3/). An interactive example can be found [here](https://www.r-graph-gallery.com/sankey-diagram/) (*via* [Pauline R.](https://twitter.com/NutriPrudens/status/1120999342419140608)).
-## Bar plots
-- [In French](http://www.sthda.com/french/wiki/ggplot2-barplots-guide-de-demarrage-rapide-logiciel-r-et-visualisation-de-donnees)
-### Simple bar plot
-Suppose you have those data in `df`:
-^ year  ^ n    ^
-| 2017  | 381  |
-| 2018  | 315  |
-You want to plot how many `n` are in each `year` in a simple bar plot.
-<code:r>
-plot <- ggplot(df, aes(x = year, y = n)) +
-  geom_bar(stat = "identity")
-plot
-</code>
-Do NOT forget to add `stat = "identity"` in `geom_bar()`. It tells `ggplot2` to "count" `n`.
-<imgcaption output_simple_bar_plot | Here's the result of the aforementioned code. Of course you can customize its look if you are not happy with the colours, and so on.>{{ economics:r:screenshot_2018-10-29_at_17.00.43.png?direct&400 |}}</imgcaption>
-### Percentage bar plot
-<code:r>
-plot <- ggplot(df, aes(x = var1, y = (..count..)/sum(..count..))) +
-  geom_bar()
-plot
-</code>
-[Source and more details](https://sebastiansauer.github.io/percentage_plot_ggplot2_V2/).
-More sophisticated code, not tested yet:
-<code:r>
-ggplot(df, aes(x= var1,  group=var_group)) +
-  geom_bar(aes(y = ..prop.., fill = factor(..x..)), stat="count") +
-    geom_text(aes( label = scales::percent(..prop..),
-                   y= ..prop.. ), stat= "count", vjust = -.5) +
-    labs(y = "Percent", fill="var1") +
-    facet_grid(~var_group) +
-    scale_y_continuous(labels = scales::percent)
-</code>
-Requires the library `scales`.
-(Same source)
-### Plot several series in one single bar plot
-[source (in French](http://www.sthda.com/french/wiki/ggplot2-barplots-guide-de-demarrage-rapide-logiciel-r-et-visualisation-de-donnees#barplot-avec-plusieurs-groupes)
-<code:r>
-ggplot(df, aes(x=var1, y=(..count..), fill=var2)) +
-  geom_bar(stat="identity", position="dodge")
-</code>
-If the variable used with `fill` is kind of categorical (for instance it's years), beware to be sure it's a *factor* (`as.factor(var2)`). Otherwise it may be treated as a continuous variable, and displayed incorrectly.
-`(..count..)` means that `ggplot2` will display the count of `var1` for each value of `var2`.