diff --git a/courses/07_time_text.Rmd b/courses/07_time_text.Rmd
index 7387a2e..f3e70e0 100644
--- a/courses/07_time_text.Rmd
+++ b/courses/07_time_text.Rmd
@@ -20,6 +20,16 @@ library(dplyr)
library(stringi)
```
+class: center, middle, title
+
+# Visualisation de données textuelles et temporelles
+
+### 2019-2020
+
+## Dr. Antoine Neuraz
+
+### AHU Informatique médicale
+#### Hôpital Necker-Enfants malades, Université de Paris
---
class: center, full
diff --git a/courses/07_time_text.html b/courses/07_time_text.html
index b54be0b..f5aaa3d 100644
--- a/courses/07_time_text.html
+++ b/courses/07_time_text.html
@@ -1,8 +1,8 @@
-
+
Cours 07 - Données temporelles et textuelles
-
+
@@ -162,11 +162,29 @@ class: full, center
[interactive](https://visual.ly/community/interactive-graphic/business/house-hunting)
---
+class: center
## Gapminder
<iframe width="800" height="400" src="https://www.youtube.com/embed/BPt8ElTQMIg" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
+
+---
+## divide and conquer
+
+![](img/walmart.png)
+
+---
+## Streamgraph
+
+![](img/streamgraph.png)
+
+---
+class: center
+## Eventflow
+
+<iframe width="800" height="400" src="https://www.youtube.com/embed/ZN1BefRmBMc" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
+
+[Eventlow](https://hcil.umd.edu/eventflow/)
-
-
-
+
+
+
+
+
+
+
+
diff --git a/courses/lab7-temporal_data_files/figure-html/unnamed-chunk-2-1.png b/courses/lab7-temporal_data_files/figure-html/unnamed-chunk-2-1.png
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diff --git a/courses/line-charts.Rmd b/courses/line-charts.Rmd
deleted file mode 100644
index 6fc154b..0000000
--- a/courses/line-charts.Rmd
+++ /dev/null
@@ -1,124 +0,0 @@
----
-title: "Line charts for population data"
-output: rmarkdown::html_vignette
-vignette: >
- %\VignetteIndexEntry{bar-chart-race}
- %\VignetteEngine{knitr::rmarkdown}
- %\VignetteEncoding{UTF-8}
----
-
-```{r setup, include=FALSE}
-knitr::opts_chunk$set(echo = TRUE)
-library(vizoR)
-library(ggplot2)
-library(gghighlight)
-library(dplyr)
-```
-
-
-```{r}
-
-data("us_city_populations")
-
-n_cities = 5
-
-top_cities <- us_city_populations %>% filter(Rank <= n_cities) %>%
- select(City, State, Region) %>% distinct()
-
-to_plot <- filter(us_city_populations, City %in% top_cities$City)
-to_plot <- us_city_populations
-
-last_ranks <- to_plot %>% filter(Year == max(Year)) %>%
- mutate(last_rank = Rank) %>% select(City, last_rank)
-
-to_plot <- left_join(to_plot, last_ranks, by= 'City')
-
-right_axis <- to_plot %>%
- group_by(City) %>%
- top_n(1, Year) %>%
- ungroup() %>%
- top_n(n_cities, -last_rank)
-
-ends <- right_axis %>%
- pull(Population)
-
-labels <- right_axis %>%
- pull(City)
-
-```
-
-```{r}
-ggplot(to_plot, aes(x=Year, y = Population, group = City, color = Region)) +
- geom_line(size=1) +
- #geom_text(data = subset(to_plot, Year == 2010), aes(x=Inf, y = Population, label=City), hjust = 1) +
- scale_x_continuous("", expand=c(0,0))+
- scale_y_continuous("",
- labels=scales::comma_format(big.mark = " "),
- sec.axis = sec_axis(~ ., breaks = ends, labels = labels ))+
- theme_elegant() +
- theme(legend.position = "bottom",
- plot.margin = unit(c(1,3,1,1), "lines"),
- axis.line.y = element_blank(),
- axis.line.x = element_blank(),
- axis.ticks.x = element_line(),
- panel.grid.major.y = element_line(color= 'grey90', size = .2) ) +
- gghighlight(max(last_rank) <= n_cities, use_direct_label = FALSE, label_key = City)
-
-```
-
-```{r}
-
-data("base_pop")
-
-n_cities = 10
-
-# create the ranks based on census populations
-base_pop<- base_pop %>%
- group_by( annee) %>%
- arrange(desc(population)) %>%
- mutate(rang = 1:n()) %>%
- ungroup()
-
-top_cities <- base_pop %>% filter(rang <= n_cities) %>%
- select(ville, dep , region) %>% distinct()
-
-to_plot <- filter(base_pop, ville %in% top_cities$ville)
-#to_plot <- base_pop
-
-last_ranks <- to_plot %>% filter(annee == max(annee)) %>%
- mutate(last_rank = rang) %>% select(ville, last_rank)
-
-to_plot <- left_join(to_plot, last_ranks, by= 'ville')
-
-right_axis <- to_plot %>%
- group_by(ville) %>%
- top_n(1, annee) %>%
- ungroup() %>%
- top_n(n_cities, -last_rank)
-
-ends <- right_axis %>%
- pull(population)
-
-labels <- right_axis %>%
- pull(ville)
-
-```
-
-```{r}
-ggplot(to_plot, aes(x=annee, y = population, group = ville, color = region)) +
- geom_line(size=1) +
- #geom_text(data = subset(to_plot, Year == 2010), aes(x=Inf, y = Population, label=City), hjust = 1) +
- scale_x_continuous("", expand=c(0,0))+
- scale_y_continuous("",
- labels=scales::comma_format(big.mark = " "),
- sec.axis = sec_axis(~ ., breaks = ends, labels = labels ))+
- theme_elegant() +
- theme(legend.position = "bottom",
- plot.margin = unit(c(1,3,1,1), "lines"),
- axis.line.y = element_blank(),
- axis.line.x = element_blank(),
- axis.ticks.x = element_line(),
- panel.grid.major.y = element_line(color= 'grey90', size = .2) ) +
- gghighlight(max(last_rank) <= n_cities, use_direct_label = FALSE, label_key = ville)
-
-```