Laboratorio Bio-demografico

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# Laboratorio Bio-demografico
## Lezione 10. Grafici Interattivi e animazioni
### Nicola Barban Alma Mater Studiorum Università di Bologna Dipartimento di Scienze Statistiche
### 9 Marzo 2021

---

---
# Outline

.center[## Creare grafici interattivi e animazioni ] 
### Pacchetti usati:
* `gganimate`
* `plotly`
* `animate`
* `htmlwidgets`
* `av`
* `tidyverse`
* `zoo`
* `lubridate`
* `gapminder`

---

# Gapminder

```r
library(gapminder)
library(ggplot2)
data(gapminder)
g1<-ggplot( data=gapminder, aes(y=lifeExp, x= gdpPercap))+
 geom_point(aes(color=continent))+
 theme_minimal()+
 ylab("Aspettativa di vita")+
 xlab("PIL pro capite")+
 scale_x_log10(labels=scales::dollar)

#g1
```
---

```r
g1
```

<img src="lezione10_files/figure-html/unnamed-chunk-2-1.png" width="40%" />
---

# Grafico interattivo
https://plotly-r.com

```r
library(plotly)
p1<-ggplotly(g1)
p1
```

<div id="htmlwidget-18d6d7fb46fb7685ff3a" style="width:40%;height:504px;" class="plotly html-widget"></div>
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---

# Salva html widget

```r
library(htmlwidgets)
saveWidget(p1, "p1.html", selfcontained = T, libdir = "lib")
```
---

# Aggiungo etichette ai dati

```r
g2<-ggplot( data=gapminder, aes(y=lifeExp, x= gdpPercap,
 text = paste( "Paese: ", country, "\n",
 "anno: ", year, "\n",
 sep = "")))+
 geom_point(aes(color=continent, group=country))+
 theme_minimal()+
 ylab("Aspettativa di vita")+
 xlab("PIL pro capite")+
 scale_x_log10(labels=scales::dollar)
```
---
# Rendo il grafico interattivo

```r
ggplotly(g2)
```

<div id="htmlwidget-507a334ba9562fb85bd8" style="width:40%;height:504px;" class="plotly html-widget"></div>
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country: Indonesia gdpPercap: 849.2898 lifeExp: 42.51800 Paese: Indonesia anno: 1962 ","continent: Asia country: Indonesia gdpPercap: 762.4318 lifeExp: 45.96400 Paese: Indonesia anno: 1967 ","continent: Asia country: Indonesia gdpPercap: 1111.1079 lifeExp: 49.20300 Paese: Indonesia anno: 1972 ","continent: Asia country: Indonesia gdpPercap: 1382.7021 lifeExp: 52.70200 Paese: Indonesia anno: 1977 ","continent: Asia country: Indonesia gdpPercap: 1516.8730 lifeExp: 56.15900 Paese: Indonesia anno: 1982 ","continent: Asia country: Indonesia gdpPercap: 1748.3570 lifeExp: 60.13700 Paese: Indonesia anno: 1987 ","continent: Asia country: Indonesia gdpPercap: 2383.1409 lifeExp: 62.68100 Paese: Indonesia anno: 1992 ","continent: Asia country: Indonesia gdpPercap: 3119.3356 lifeExp: 66.04100 Paese: Indonesia anno: 1997 ","continent: Asia country: Indonesia gdpPercap: 2873.9129 lifeExp: 68.58800 Paese: Indonesia anno: 2002 ","continent: Asia country: Indonesia gdpPercap: 3540.6516 lifeExp: 70.65000 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59.46100 Paese: Iraq anno: 1992 ","continent: Asia country: Iraq gdpPercap: 3076.2398 lifeExp: 58.81100 Paese: Iraq anno: 1997 ","continent: Asia country: Iraq gdpPercap: 4390.7173 lifeExp: 57.04600 Paese: Iraq anno: 2002 ","continent: Asia country: Iraq gdpPercap: 4471.0619 lifeExp: 59.54500 Paese: Iraq anno: 2007 ","continent: Asia country: Israel gdpPercap: 4086.5221 lifeExp: 65.39000 Paese: Israel anno: 1952 ","continent: Asia country: Israel gdpPercap: 5385.2785 lifeExp: 67.84000 Paese: Israel anno: 1957 ","continent: Asia country: Israel gdpPercap: 7105.6307 lifeExp: 69.39000 Paese: Israel anno: 1962 ","continent: Asia country: Israel gdpPercap: 8393.7414 lifeExp: 70.75000 Paese: Israel anno: 1967 ","continent: Asia country: Israel gdpPercap: 12786.9322 lifeExp: 71.63000 Paese: Israel anno: 1972 ","continent: Asia country: Israel gdpPercap: 13306.6192 lifeExp: 73.06000 Paese: Israel anno: 1977 ","continent: Asia country: Israel gdpPercap: 15367.0292 lifeExp: 74.45000 Paese: Israel anno: 1982 ","continent: Asia country: Israel gdpPercap: 17122.4799 lifeExp: 75.60000 Paese: Israel anno: 1987 ","continent: Asia country: Israel gdpPercap: 18051.5225 lifeExp: 76.93000 Paese: Israel anno: 1992 ","continent: Asia country: Israel gdpPercap: 20896.6092 lifeExp: 78.26900 Paese: Israel anno: 1997 ","continent: Asia country: Israel gdpPercap: 21905.5951 lifeExp: 79.69600 Paese: Israel anno: 2002 ","continent: Asia country: Israel gdpPercap: 25523.2771 lifeExp: 80.74500 Paese: Israel anno: 2007 ","continent: Asia country: Japan gdpPercap: 3216.9563 lifeExp: 63.03000 Paese: Japan anno: 1952 ","continent: Asia country: Japan gdpPercap: 4317.6944 lifeExp: 65.50000 Paese: Japan anno: 1957 ","continent: Asia country: Japan gdpPercap: 6576.6495 lifeExp: 68.73000 Paese: Japan anno: 1962 ","continent: Asia country: Japan gdpPercap: 9847.7886 lifeExp: 71.43000 Paese: Japan anno: 1967 ","continent: Asia country: Japan gdpPercap: 14778.7864 lifeExp: 73.42000 Paese: Japan anno: 1972 ","continent: Asia country: Japan gdpPercap: 16610.3770 lifeExp: 75.38000 Paese: Japan anno: 1977 ","continent: Asia country: Japan gdpPercap: 19384.1057 lifeExp: 77.11000 Paese: Japan anno: 1982 ","continent: Asia country: Japan gdpPercap: 22375.9419 lifeExp: 78.67000 Paese: Japan anno: 1987 ","continent: Asia country: Japan gdpPercap: 26824.8951 lifeExp: 79.36000 Paese: Japan anno: 1992 ","continent: Asia country: Japan gdpPercap: 28816.5850 lifeExp: 80.69000 Paese: Japan anno: 1997 ","continent: Asia country: Japan gdpPercap: 28604.5919 lifeExp: 82.00000 Paese: Japan anno: 2002 ","continent: Asia country: Japan gdpPercap: 31656.0681 lifeExp: 82.60300 Paese: Japan anno: 2007 ","continent: Asia country: Jordan gdpPercap: 1546.9078 lifeExp: 43.15800 Paese: Jordan anno: 1952 ","continent: Asia country: Jordan gdpPercap: 1886.0806 lifeExp: 45.66900 Paese: Jordan anno: 1957 ","continent: Asia country: Jordan gdpPercap: 2348.0092 lifeExp: 48.12600 Paese: Jordan anno: 1962 ","continent: Asia country: Jordan gdpPercap: 2741.7963 lifeExp: 51.62900 Paese: Jordan anno: 1967 ","continent: Asia country: Jordan gdpPercap: 2110.8563 lifeExp: 56.52800 Paese: Jordan anno: 1972 ","continent: Asia country: Jordan gdpPercap: 2852.3516 lifeExp: 61.13400 Paese: Jordan anno: 1977 ","continent: Asia country: Jordan gdpPercap: 4161.4160 lifeExp: 63.73900 Paese: Jordan anno: 1982 ","continent: Asia country: Jordan gdpPercap: 4448.6799 lifeExp: 65.86900 Paese: Jordan anno: 1987 ","continent: Asia country: Jordan gdpPercap: 3431.5936 lifeExp: 68.01500 Paese: Jordan anno: 1992 ","continent: Asia country: Jordan gdpPercap: 3645.3796 lifeExp: 69.77200 Paese: Jordan anno: 1997 ","continent: Asia country: Jordan gdpPercap: 3844.9172 lifeExp: 71.26300 Paese: Jordan anno: 2002 ","continent: Asia country: Jordan gdpPercap: 4519.4612 lifeExp: 72.53500 Paese: Jordan anno: 2007 ","continent: Asia country: Korea, Dem. 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Rep. gdpPercap: 3726.0635 lifeExp: 69.97800 Paese: Korea, Dem. Rep. anno: 1992 ","continent: Asia country: Korea, Dem. Rep. gdpPercap: 1690.7568 lifeExp: 67.72700 Paese: Korea, Dem. Rep. anno: 1997 ","continent: Asia country: Korea, Dem. Rep. gdpPercap: 1646.7582 lifeExp: 66.66200 Paese: Korea, Dem. Rep. anno: 2002 ","continent: Asia country: Korea, Dem. Rep. gdpPercap: 1593.0655 lifeExp: 67.29700 Paese: Korea, Dem. Rep. anno: 2007 ","continent: Asia country: Korea, Rep. gdpPercap: 1030.5922 lifeExp: 47.45300 Paese: Korea, Rep. anno: 1952 ","continent: Asia country: Korea, Rep. gdpPercap: 1487.5935 lifeExp: 52.68100 Paese: Korea, Rep. anno: 1957 ","continent: Asia country: Korea, Rep. gdpPercap: 1536.3444 lifeExp: 55.29200 Paese: Korea, Rep. anno: 1962 ","continent: Asia country: Korea, Rep. gdpPercap: 2029.2281 lifeExp: 57.71600 Paese: Korea, Rep. anno: 1967 ","continent: Asia country: Korea, Rep. gdpPercap: 3030.8767 lifeExp: 62.61200 Paese: Korea, Rep. anno: 1972 ","continent: Asia country: Korea, Rep. gdpPercap: 4657.2210 lifeExp: 64.76600 Paese: Korea, Rep. anno: 1977 ","continent: Asia country: Korea, Rep. gdpPercap: 5622.9425 lifeExp: 67.12300 Paese: Korea, Rep. anno: 1982 ","continent: Asia country: Korea, Rep. gdpPercap: 8533.0888 lifeExp: 69.81000 Paese: Korea, Rep. anno: 1987 ","continent: Asia country: Korea, Rep. gdpPercap: 12104.2787 lifeExp: 72.24400 Paese: Korea, Rep. anno: 1992 ","continent: Asia country: Korea, Rep. gdpPercap: 15993.5280 lifeExp: 74.64700 Paese: Korea, Rep. anno: 1997 ","continent: Asia country: Korea, Rep. gdpPercap: 19233.9882 lifeExp: 77.04500 Paese: Korea, Rep. anno: 2002 ","continent: Asia country: Korea, Rep. gdpPercap: 23348.1397 lifeExp: 78.62300 Paese: Korea, Rep. anno: 2007 ","continent: Asia country: Kuwait gdpPercap: 108382.3529 lifeExp: 55.56500 Paese: Kuwait anno: 1952 ","continent: Asia country: Kuwait gdpPercap: 113523.1329 lifeExp: 58.03300 Paese: Kuwait anno: 1957 ","continent: Asia country: Kuwait gdpPercap: 95458.1118 lifeExp: 60.47000 Paese: Kuwait anno: 1962 ","continent: Asia country: Kuwait gdpPercap: 80894.8833 lifeExp: 64.62400 Paese: Kuwait anno: 1967 ","continent: Asia country: Kuwait gdpPercap: 109347.8670 lifeExp: 67.71200 Paese: Kuwait anno: 1972 ","continent: Asia country: Kuwait gdpPercap: 59265.4771 lifeExp: 69.34300 Paese: Kuwait anno: 1977 ","continent: Asia country: Kuwait gdpPercap: 31354.0357 lifeExp: 71.30900 Paese: Kuwait anno: 1982 ","continent: Asia country: Kuwait gdpPercap: 28118.4300 lifeExp: 74.17400 Paese: Kuwait anno: 1987 ","continent: Asia country: Kuwait gdpPercap: 34932.9196 lifeExp: 75.19000 Paese: Kuwait anno: 1992 ","continent: Asia country: Kuwait gdpPercap: 40300.6200 lifeExp: 76.15600 Paese: Kuwait anno: 1997 ","continent: Asia country: Kuwait gdpPercap: 35110.1057 lifeExp: 76.90400 Paese: Kuwait anno: 2002 ","continent: Asia country: Kuwait gdpPercap: 47306.9898 lifeExp: 77.58800 Paese: Kuwait anno: 2007 ","continent: Asia country: Lebanon gdpPercap: 4834.8041 lifeExp: 55.92800 Paese: Lebanon anno: 1952 ","continent: Asia country: Lebanon gdpPercap: 6089.7869 lifeExp: 59.48900 Paese: Lebanon anno: 1957 ","continent: Asia country: Lebanon gdpPercap: 5714.5606 lifeExp: 62.09400 Paese: Lebanon anno: 1962 ","continent: Asia country: Lebanon gdpPercap: 6006.9830 lifeExp: 63.87000 Paese: Lebanon anno: 1967 ","continent: Asia country: Lebanon gdpPercap: 7486.3843 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gdpPercap: 33693.1753 lifeExp: 63.01200 Paese: Saudi Arabia anno: 1982 ","continent: Asia country: Saudi Arabia gdpPercap: 21198.2614 lifeExp: 66.29500 Paese: Saudi Arabia anno: 1987 ","continent: Asia country: Saudi Arabia gdpPercap: 24841.6178 lifeExp: 68.76800 Paese: Saudi Arabia anno: 1992 ","continent: Asia country: Saudi Arabia gdpPercap: 20586.6902 lifeExp: 70.53300 Paese: Saudi Arabia anno: 1997 ","continent: Asia country: Saudi Arabia gdpPercap: 19014.5412 lifeExp: 71.62600 Paese: Saudi Arabia anno: 2002 ","continent: Asia country: Saudi Arabia gdpPercap: 21654.8319 lifeExp: 72.77700 Paese: Saudi Arabia anno: 2007 ","continent: Asia country: Singapore gdpPercap: 2315.1382 lifeExp: 60.39600 Paese: Singapore anno: 1952 ","continent: Asia country: Singapore gdpPercap: 2843.1044 lifeExp: 63.17900 Paese: Singapore anno: 1957 ","continent: Asia country: Singapore gdpPercap: 3674.7356 lifeExp: 65.79800 Paese: Singapore anno: 1962 ","continent: Asia country: Singapore gdpPercap: 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country: Vietnam gdpPercap: 772.0492 lifeExp: 45.36300 Paese: Vietnam anno: 1962 ","continent: Asia country: Vietnam gdpPercap: 637.1233 lifeExp: 47.83800 Paese: Vietnam anno: 1967 ","continent: Asia country: Vietnam gdpPercap: 699.5016 lifeExp: 50.25400 Paese: Vietnam anno: 1972 ","continent: Asia country: Vietnam gdpPercap: 713.5371 lifeExp: 55.76400 Paese: Vietnam anno: 1977 ","continent: Asia country: Vietnam gdpPercap: 707.2358 lifeExp: 58.81600 Paese: Vietnam anno: 1982 ","continent: Asia country: Vietnam gdpPercap: 820.7994 lifeExp: 62.82000 Paese: Vietnam anno: 1987 ","continent: Asia country: Vietnam gdpPercap: 989.0231 lifeExp: 67.66200 Paese: Vietnam anno: 1992 ","continent: Asia country: Vietnam gdpPercap: 1385.8968 lifeExp: 70.67200 Paese: Vietnam anno: 1997 ","continent: Asia country: Vietnam gdpPercap: 1764.4567 lifeExp: 73.01700 Paese: Vietnam anno: 2002 ","continent: Asia country: Vietnam gdpPercap: 2441.5764 lifeExp: 74.24900 Paese: Vietnam anno: 2007 ","continent: 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West Bank and Gaza gdpPercap: 6017.6548 lifeExp: 69.71800 Paese: West Bank and Gaza anno: 1992 ","continent: Asia country: West Bank and Gaza gdpPercap: 7110.6676 lifeExp: 71.09600 Paese: West Bank and Gaza anno: 1997 ","continent: Asia country: West Bank and Gaza gdpPercap: 4515.4876 lifeExp: 72.37000 Paese: West Bank and Gaza anno: 2002 ","continent: Asia country: West Bank and Gaza gdpPercap: 3025.3498 lifeExp: 73.42200 Paese: West Bank and Gaza anno: 2007 ","continent: Asia country: Yemen, Rep. gdpPercap: 781.7176 lifeExp: 32.54800 Paese: Yemen, Rep. anno: 1952 ","continent: Asia country: Yemen, Rep. gdpPercap: 804.8305 lifeExp: 33.97000 Paese: Yemen, Rep. anno: 1957 ","continent: Asia country: Yemen, Rep. gdpPercap: 825.6232 lifeExp: 35.18000 Paese: Yemen, Rep. anno: 1962 ","continent: Asia country: Yemen, Rep. gdpPercap: 862.4421 lifeExp: 36.98400 Paese: Yemen, Rep. anno: 1967 ","continent: Asia country: Yemen, Rep. gdpPercap: 1265.0470 lifeExp: 39.84800 Paese: Yemen, Rep. anno: 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---

# Animations

```r
library(gganimate)

a1<-ggplot( data=gapminder, aes(y=lifeExp, x= gdpPercap))+
 geom_point(aes(color=continent, group=country))+
 theme_minimal()+
 ylab("Aspettativa di vita")+
 xlab("PIL pro capite")+
 scale_x_log10(labels=scales::dollar)
```
---

```r
A<-a1+
* transition_states(year) +
 ease_aes('linear')+
 labs(title = "{closest_state}") 
```

---
# Visulizzo e salvo la mia animation

```r
A
```

```r
anim_save("animation1.gif")
```

---

# Opzioni in *transition_states()*

* `transition_length`  definisce la lunghezza relativa della transizione de uno stato all'altro.
* `state_length` definisce per quanto tempo (in termini relativi) ogni stato è visualizzato. 
*  `wrap`  se = TRUE, la visualizzazione viene proposta in loop
---
# Opzioni in *transition_states()*

```r
a1.2<-ggplot( data=gapminder, aes(y=lifeExp, x= gdpPercap))+
 geom_point(aes(color=continent, group=country))+
 theme_minimal()+
 ylab("Aspettativa di vita")+
 xlab("PIL pro capite")+
 scale_x_log10(labels=scales::dollar)+ 
 ease_aes('linear')+
 labs(title = "{closest_state}") +
 transition_states(year ,
 transition_length = 3, # 3/4 of total time for transitions
 state_length = 1, # 1/4 of time to display actual data
 wrap = FALSE) 
```
---

```r
a1.2
```

---
# Shadow_wake()

```r
A+  shadow_wake(wake_length = 0.5)
```

---
# Shadow_wake()

```r
A+  shadow_wake(wake_length = 0.8)
```

---

```r
a2<-ggplot( data=gapminder, aes(y=lifeExp, x= gdpPercap))+
 geom_point(aes(color=continent, group=country, size=log(pop), alpha=.3), show.legend = FALSE) +
 theme_minimal()+
 ylab("Aspettativa di vita")+
 xlab("PIL pro capite")+
 scale_x_log10(labels=scales::dollar)+ 
 transition_states(year,
 transition_length = 3,
 state_length = 1 ) +
 ease_aes('linear')+ 
 labs(title = 'Year: {closest_state}') +
* facet_wrap(~continent)
```
---

```r
a2
```

<img src="lezione10_files/figure-html/unnamed-chunk-15-1.gif" width="40%" />
---# Salvare animation in formato video

```r
#install.packages("av")
library(av)
df <- animate(a2, renderer = av_renderer('animation2.mp4'), 
	width = 1280, height = 720, res = 104, fps = 25)
utils::browseURL('animation2.mp4')
```

---
# Scarico dati provinciali COVID

```r
storicoProvince <- read.csv(file = "https://raw.githubusercontent.com/pcm-dpc/COVID-19/master/dati-province/dpc-covid19-ita-province.csv", stringsAsFactors = FALSE)

storicoProvince <- subset(storicoProvince, codice_provincia<=111)
storicoProvince$denominazione_regione[storicoProvince$denominazione_regione %in% list("P.A. Trento", "P.A. Bolzano")] <- "Trentino-Alto Adige"
```
---
# Creo dataset provinciale

```r
library(zoo)
covid_prov <- storicoProvince %>%
 group_by(codice_provincia) %>%
 mutate(diff_totale_casi = diff(c(0, totale_casi)),
 data=as.Date(data)) 
```
---
# Creo dati settimanali

```r
library(lubridate)
covid_prov_sett <- covid_prov %>%
 mutate(week = week(data),
 year=year(data), 
 time=year*100+week) %>% 
 group_by(time,year, week,denominazione_regione, denominazione_provincia, codice_provincia) %>% 
 summarise(diff_casi = sum(diff_totale_casi), data=min(data)) %>% arrange(year, week, denominazione_regione,denominazione_provincia)

glimpse(covid_prov_sett)      
```

```
## Rows: 5,992
## Columns: 8
## Groups: time, year, week, denominazione_regione, denominazione_provincia [5,992]
## $ time <dbl> 202008, 202008, 202008, 202008, 202008, 20200…
## $ year <dbl> 2020, 2020, 2020, 2020, 2020, 2020, 2020, 202…
## $ week <dbl> 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, …
## $ denominazione_regione <chr> "Abruzzo", "Abruzzo", "Abruzzo", "Abruzzo", "…
## $ denominazione_provincia <chr> "Chieti", "L'Aquila", "Pescara", "Teramo", "M…
## $ codice_provincia <int> 69, 66, 68, 67, 77, 76, 79, 78, 101, 80, 102,…
## $ diff_casi <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ data <date> 2020-02-24, 2020-02-24, 2020-02-24, 2020-02-…
```

---
# Importo dati ISTAT

```r
library(readr)
ISTAT.prov <- read_csv("province.csv", col_types = cols(`Codice provincia` = col_integer()), 
 skip = 1)

Pop.prov <-ISTAT.prov %>% 
 filter(Età=="Totale") %>% 
 mutate(Tot.Pop=`Totale Maschi`+`Totale Femmine`) %>% 
 select(codice_provincia="Codice provincia" , "Tot.Pop" ) 
```
---
# Merge dati e calcolo incidenza

```r
inc.prov<- full_join(covid_prov_sett,Pop.prov, by="codice_provincia" )

inc.prov<-inc.prov %>% 
 mutate (incidenza=10^5*diff_casi/Tot.Pop) 
```
---
# Seleziono 10 provincie

```r
inc.prov <- inc.prov %>%
 group_by(time) %>%
 arrange(year, week, desc(incidenza)) %>%
* mutate(rankingI = row_number()) %>%
* filter(rankingI <=10)
```
---
# creo proptotipo grafico a barre

```r
covid_anim_prov0 <- inc.prov %>% filter(week==1) %>% 
 ggplot() +
 geom_col(aes(rankingI, incidenza, fill = denominazione_regione))+
 coord_flip(clip = "off", expand = FALSE)
covid_anim_prov0
```

<img src="lezione10_files/figure-html/unnamed-chunk-23-1.png" width="40%" />
---
# Ordino le barre

```r
covid_anim_prov0.1 <- covid_anim_prov0+ scale_x_reverse()
covid_anim_prov0.1
```

<img src="lezione10_files/figure-html/unnamed-chunk-24-1.png" width="40%" />
---
# Aggiungo etichette ai dati

```r
covid_anim_prov0.2<-covid_anim_prov0.1+ 
 geom_text(aes(rankingI, incidenza, label = round(incidenza,0)), hjust=-0.1) +
 geom_text(aes(rankingI, y=0 , label = denominazione_provincia), hjust=1.1) + 
 geom_text(aes(x=10, y=max(incidenza) , label = format(data, "%d %B %Y")))
 
covid_anim_prov0.2
```

<img src="lezione10_files/figure-html/unnamed-chunk-25-1.png" width="40%" />
---
# cambio estetica assi

```r
covid_anim_prov0.3<-covid_anim_prov0.2+ 
 theme_minimal() + theme(
 panel.grid = element_blank(), 
 legend.position = "none",
 axis.ticks.y = element_blank(),
 axis.title.y = element_blank(),
 axis.text.y = element_blank(),
 plot.margin = margin(1, 4, 1, 3, "cm"))+
 labs(y="",
 subtitle="per 100.000 abitanti",
 caption= "Dati Protezione civile",
 title="Incidenza settimanale")
```
---

```r
covid_anim_prov0.3
```

---
# Barchart race

```r
*covid_anim_prov_base <- inc.prov %>%
 ggplot() +
 geom_col(aes(rankingI, incidenza, fill = denominazione_regione)) +
 scale_x_reverse()+
 geom_text(aes(rankingI, incidenza, label = round(incidenza,0)), hjust=-0.1) +
 geom_text(aes(rankingI, y=0 , label = denominazione_provincia), hjust=1.1) + 
 geom_text(aes(x=10, y=max(incidenza) , label = format(data, "%d %B %Y")), vjust = 0.2, alpha = 0.5, col = "gray", size = 14) +
 coord_flip(clip = "off", expand = FALSE) +
 theme_minimal() + theme(
 panel.grid = element_blank(), 
 legend.position = "none",
 axis.ticks.y = element_blank(),
 axis.title.y = element_blank(),
 axis.text.y = element_blank(),
 plot.margin = margin(1, 4, 1, 3, "cm"))+
 labs(y="",
 subtitle="per 100.000 abitanti",
 caption= "Dati Protezione civile",
 title="Incidenza settimanale") 
```

---

```r
covid_anim_prov<- covid_anim_prov_base +
 transition_states(data, state_length = 3, transition_length = 1) +
 enter_fade() +
 exit_fade() + 
 ease_aes('linear') 
```

---

```r
covid_anim_inc <- animate(covid_anim_prov, renderer = av_renderer('covid_incidenza_prov.mp4'), 
	width = 1280, height = 720, res = 104, fps = 10, nframes = 200)
utils::browseURL('covid_incidenza_prov.mp4')
```
---

```r
covid_anim_prov
```

---

```r
 storicoRegioni <- read.csv(
 file = "https://raw.githubusercontent.com/pcm-dpc/COVID-19/master/dati-regioni/dpc-covid19-ita-regioni.csv", 
 stringsAsFactors = FALSE) %>% 
 mutate(data=as.Date(data))
```

---
# Confronto terapie intensive

```r
plot_reg0<-storicoRegioni %>% filter(data>as.Date("2020-09-01")) %>% 
 ggplot(aes(x=data, y=terapia_intensiva, group=denominazione_regione))+
 geom_line(col="grey", alpha=0.2, size=2)+
 geom_line(data=storicoRegioni %>% filter(data>as.Date("2020-09-01"),denominazione_regione=="Emilia-Romagna"), aes(y=terapia_intensiva, x=data),col="darkred", size=2)+
 geom_line(data=storicoRegioni %>%
 filter(data>as.Date("2020-09-01"),denominazione_regione=="Lombardia"), aes(y=terapia_intensiva, x=data), col="darkgreen", size=2)+
 annotate("text",x=as.Date("2020-09-15"), y=750, label="Lombardia", col="darkgreen")+
 annotate("text",x=as.Date("2020-09-15"), y=500, label="Emilia-Romagna", col="darkred")+
 theme_bw()+
 labs(title = 'Terapia Intensiva. ', 
 subtitle = "Emilia Romagna e Lombardia",
 y="Pazienti in TI", 
 x="", 
 caption="Fonte: Protezione Civile") 
```
---
# Transition Reveal

```r
plot_reg0+ 
  transition_reveal(data) 
```

<img src="lezione10_files/figure-html/unnamed-chunk-34-1.gif" width="40%" />
---
# creo una lista di grafici

```r
r2<-list()
k<-unique(storicoRegioni$denominazione_regione)
length(k)
```

```
## [1] 21
```
---

```r
for (i in 1:21){
 
r2[[i]]<- storicoRegioni %>% filter(data>as.Date("2020-09-01")) %>% 
 
 ggplot(aes(x=data, y=terapia_intensiva, group=denominazione_regione))+
 geom_line(col="grey", alpha=0.2, size=2)+
 geom_line(data=storicoRegioni %>% filter(data>as.Date("2020-09-01"),denominazione_regione==k[i]), aes(y=terapia_intensiva, x=data),col="pink", size=2)+
 theme_bw()+
 labs(title = 'Terapia Intensiva. ', 
 subtitle = k[i],
 y="Pazienti in TI", 
 x="", 
 caption="Fonte: Protezione Civile") 
}
```

---

```r
r2[[5]]
```

<img src="lezione10_files/figure-html/unnamed-chunk-37-1.png" width="40%" />
---

```r
library(animation)
saveGIF(
    for (i in 1:21) plot(r2[[i]]),
  movie.name = "regioni_covid.gif"
)
```

```
## [1] TRUE
```
---

![]("regioni_covid.gif")
---