bar

library(vchartr)
library(dplyr)
#> 
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#> 
#>     filter, lag
#> The following objects are masked from 'package:base':
#> 
#>     intersect, setdiff, setequal, union

Bar Chart

Create a bar chart :

electricity_mix %>% 
  filter(country == "South Korea") %>% 
  arrange(desc(generation)) %>% 
  vchart() %>% 
  v_bar(aes(source, generation)) %>% 
  v_specs_colors("#5E81AC") %>% 
  v_scale_y_continuous(labels = format_num_d3(",", suffix = " TWh")) %>% 
  v_labs(
    title = "South Korea electricity mix"
  )

Colorize bars :

electricity_mix %>%
  filter(country == "South Korea") %>%
  arrange(desc(generation)) %>%
  vchart() %>%
  v_bar(aes(source, generation, fill = source), serie_id = "bar") %>%
  v_specs(xField = "x", serie_id = "bar") %>% # <- use only 'x' aesthetic on x-axis
  v_specs_legend(visible = FALSE) %>%
  v_scale_fill_manual(
    c(
      "oil" = "#80549f",
      "coal" = "#a68832",
      "solar" = "#d66b0d",
      "gas" = "#f20809",
      "wind" = "#72cbb7",
      "hydro" = "#2672b0",
      "nuclear" = "#e4a701"
    )
  )

Horizontal Bar Chart

Create a basic horizontal bar chart with :

vchart(top_generation) %>% 
  v_bar(
    aes(country, electricity_generation), 
    direction = "horizontal",
    label = list(visible = TRUE)
  ) %>% 
  v_specs_colors("#8FBCBB") %>% 
  v_labs(
    title = "Top electricity-generating countries",
    subtitle = "Data for 2023, source: Our World In Data"
  )

Highlight a specific bar in the chart :

vchart(top_generation) %>% 
  v_bar(
    aes(country, electricity_generation), 
    direction = "horizontal",
    bar = list(
      style = list(
        fill = JS("datum => datum.x == 'Japan' ? '#5E81AC' : '#88C0D0'")
      )
    )
  )

Or :

co2_emissions %>% 
  filter(country == "China") %>% 
  vchart() %>% 
  v_bar(
    aes(year, co2_growth_prct),
    bar = list(
      style = list(
        fill = JS("datum => datum.y <= 0 ? 'forestgreen' : 'firebrick'")
      )
    )
  ) %>% 
  v_specs_axes(
    position = "left",
    title = list(
      visible = TRUE,
      text = "Annual CO₂ emissions growth (%)",
      position = "start"
    )
  ) %>% 
  v_labs(
    title = "Annual percentage growth in total emissions of carbon dioxide (CO₂)"
  )

Grouped Bar Chart

A grouped bar chart with specific colors and custom legend :

world_electricity %>% 
  filter(type == "total") %>% 
  vchart() %>% 
  v_bar(aes(year, generation, fill = source)) %>% 
  v_scale_color_manual(c(
    "Low carbon" = "#A3BE8C", 
    "Fossil fuels" = "#4C566A"
  )) %>% 
  v_specs_legend(
    title = list(text = "Source of electricity", visible = TRUE),
    orient = "right",
    position = "start",
    item = list(focus = TRUE)
  )

Stack bars :

world_electricity %>% 
  filter(type == "total") %>% 
  vchart() %>% 
  v_bar(aes(year, generation, fill = source), stack = TRUE) %>% 
  v_scale_color_manual(c("Low carbon" = "#A3BE8C", "Fossil fuels" = "#4C566A")) %>% 
  v_specs_legend(
    title = list(text = "Source of electricity", visible = TRUE),
    orient = "right",
    position = "start",
    item = list(focus = TRUE)
  )

world_electricity %>% 
  filter(type == "total") %>% 
  vchart() %>% 
  v_bar(
    aes(year, generation, fill = source), 
    stack = TRUE, 
    percent = TRUE
  ) %>% 
  v_scale_color_manual(
    c("Low carbon" = "#A3BE8C", "Fossil fuels" = "#4C566A")
  ) %>% 
  v_scale_y_continuous(
    min = 0, 
    max = 1,
    labels = ".0%",
    labels_tooltip = "~s"
  )

Bar Chart with custom labels

electricity_mix %>% 
  filter(source == "nuclear") %>% 
  arrange(generation) %>% 
  vchart() %>% 
  v_bar(
    aes(country, generation),
    direction = "horizontal",
    data_id = "mydataid",
    bar = list(
      style = list(cornerRadius = c(5, 5, 5, 5), height = 10)
    ),
    barBackground = list(
      visible = TRUE,
      style = list(cornerRadius = c(5, 5, 5, 5), height = 10),
      state = list(
        hover = list(
          stroke = "#D9D9D9",
          lineWidth = 1
        )
      )
    )
  ) %>% 
  v_specs_axes(
    position = "bottom",
    visible = FALSE
  ) %>% 
  v_specs_axes(
    position = "left",
    domainLine = list(visible = FALSE),
    tick = list(visible = FALSE)
  ) %>% 
  v_specs(
    padding = list(right = 50, left = 10),
    extensionMark = list(
      list(
        type = "text",
        dataId = "mydataid",
        visible = TRUE,
        style = list(
          text = JS("datum => Math.round(datum.y)"),
          fontSize = 12,
          x = JS("(datum, ctx) => { return ctx.getRegion().getLayoutRect().width + 10; }"),
          y = JS("(datum, ctx) => { return ctx.valueToY([datum.x]) + ctx.yBandwidth() / 2; }"),
          textBaseline = "middle",
          textAlign = "left",
          fill = "#595959",
          size = 20
        )
      )
    )
  ) %>% 
  v_specs_tooltip(
    mark = list(title = list(visible = FALSE)),
    dimension = list(title = list(visible = FALSE)),
    style = list(shape = list(shapeType = "circle"))
  )