added dumbbell example in vignette + area charts

DESCRIPTION

@@ -1,5 +1,5 @@
 Package: apexcharter
-Version: 0.4.0.9300
+Version: 0.4.0.9400
 Title: Create Interactive Chart with the JavaScript 'ApexCharts' Library
 Description: Provides an 'htmlwidgets' interface to 'apexcharts.js'. 
   'Apexcharts' is a modern JavaScript charting library to build interactive charts and visualizations with simple API.

vignettes/apexcharter.Rmd

@@ -82,16 +82,62 @@ apex(data = economics_long, type = "line", mapping = aes(x = date, y = value01,
 ```
 
 
+## Area charts
+
 Create area charts with `type = "area"`:
 
 ```{r area}
-apex(data = economics_long, type = "area", mapping = aes(x = date, y = value01, fill = variable)) %>% 
-  ax_yaxis(decimalsInFloat = 2) %>% # number of decimals to keep
-  ax_chart(stacked = TRUE) %>%
-  ax_yaxis(max = 4, tickAmount = 4)
+data("eco2mix", package = "apexcharter")
+
+apex(eco2mix, aes(datetime, production, fill = source), type = "area") %>% 
+  ax_chart(animations = list(enabled = FALSE), stacked = TRUE) %>% 
+  ax_stroke(width = 1) %>% 
+  ax_fill(opacity = 1, type = "solid") %>% 
+  ax_tooltip(x = list(format = "dd MMM, HH:mm")) %>% 
+  ax_yaxis(labels = list(formatter = format_num("~", suffix = "MW"))) %>% 
+  ax_colors_manual(
+    list(
+      "bioenergies" = "#156956",
+      "fuel" = "#80549f",
+      "coal" = "#a68832",
+      "solar" = "#d66b0d",
+      "gas" = "#f20809",
+      "wind" = "#72cbb7",
+      "hydraulic" = "#2672b0",
+      "nuclear" = "#e4a701",
+      "pumping" = "#0e4269"
+    )
+  ) %>% 
+  ax_labs(
+    title = "Electricity generation by sector in France",
+    subtitle = "Data from \u00e9CO\u2082mix"
+  )
 ```
 
 
+You can create ribbon charts using `ymin` and `ymax` aesthetics :
+
+```{r ribbon}
+data("temperatures", package = "apexcharter")
+
+apex(
+  temperatures, 
+  aes(x = date, ymin = low, ymax = high), 
+  type = "rangeArea", 
+  serie_name = "Low/High (2018-2021)"
+) %>% 
+  add_line(aes(date, `2023`)) %>% 
+  ax_chart(animations = list(enabled = FALSE)) %>% 
+  ax_yaxis(tickAmount = 7, labels = list(formatter = format_num("~", suffix = "°C"))) %>% 
+  ax_colors(c("#8485854D", "#FF0000")) %>%
+  ax_stroke(width = c(1, 2)) %>% 
+  ax_fill(opacity = 1, type = "solid") %>% 
+  ax_labs(
+    title = "Temperatures in 2023 with range from 2018 to 2021",
+    subtitle = "Data from ENEDIS"
+  )
+```
+
 
 
 
@@ -118,7 +164,7 @@ apex(data = mtcars, type = "scatter", mapping = aes(x = wt, y = mpg, z = scales:
 
 
 
-## Pie charts
+## Pie & donut charts
 
 Simple pie charts can be created with:
 
@@ -131,6 +177,12 @@ poll <- data.frame(
 apex(data = poll, type = "pie", mapping = aes(x = answer, y = n))
 ```
 
+It's also possible to make donut chart:
+
+```{r donut}
+apex(data = poll, type = "donut", mapping = aes(x = answer, y = n))
+```
+
 
 
 ## Radial charts
@@ -257,3 +309,25 @@ apex(mpg, aes(hwy, class), "boxplot") %>%
   ax_stroke(colors = list("#2A5769"))
 ```
 
+
+## Dumbbell charts
+
+Create Dumbbell chart with: 
+
+```{r dumbbell}
+data("life_expec", package = "apexcharter")
+
+apex(life_expec, aes(country, x = `1972`, xend = `2007`), type = "dumbbell") %>% 
+  ax_plotOptions(
+    bar = bar_opts(
+      dumbbellColors = list(list("#3d85c6", "#fb6003"))
+    )
+  ) %>% 
+  ax_colors("#BABABA") %>% 
+  ax_labs(
+    title = "Life expectancy : 1972 vs. 2007",
+    subtitle = "Data from Gapminder dataset",
+    x = "Life expectancy at birth, in years"
+  )
+```
+