Billboarder.R，包含多个要绘制的变量的分组折线图

Question

我正在尝试映射我的表。它绘制在具有一年中的第几周 (1-53) 的 x 轴和具有特定百分比 (0-100) 的 y 轴上。在这个图中，我尝试制作两条线，一条用于变量“Task”，另一条用于变量“Area”。但是，由于 x 轴只到一年，所以我还希望每年都有一条新线。

我的数据如下：

head(dt.Ratio()[Week %in% c(52, 53, 1, 2, 3)])
       year Week  Area  Task
    1: 2019   52 63.68 28.39
    2: 2019   53  3.23  0.00
    3: 2020    1 58.58 25.43
    4: 2020    2 61.54 31.75
    5: 2020    3 52.33 27.10

情节是这样完成的：

billboarder() %>%
        bb_linechart(dt.Ratio(), show_point = TRUE, type = "area") %>%
        bb_x_axis(label = list(text = "Week", position = "outer-right"),
                  tick = list(culling = list(max = 1))) %>%
        bb_y_axis(label = list(text = "Ratio of hours clocked as task", position = "outer-right")) %>%
        bb_y_grid(show = TRUE) %>%
        bb_colors_manual(opacity = 0.25)

我尝试了很多方法来处理 bb_linechart 中的映射变量，但我找不到正确的映射。我可以使其适用于 Area 或 Task 或不按年份分组，但我还没有找到包含所有 4 行（2019 年和 2020 年，变量 Task 和 Area）的解决方案

Answer 1

您好，您需要对数据进行一些转换。

第一个选项：使用日期

library(data.table)
library(billboarder)

dt <- fread(text = "year Week  Area  Task
2019   52 63.68 28.39
2020    1 58.58 25.43
2020    2 61.54 31.75
2020    3 52.33 27.10")

# Convert date
dt[, date := as.Date(paste(year, Week, 1, sep = "-"), format = "%Y-%U-%u")]

# Pivot data
dt <- melt(
  data = dt, 
  id.vars = "date",
  measure.vars = c("Area", "Task")
)

# Plot
billboarder() %>%
  bb_linechart(dt, bbaes(x = date, y = value, group = variable), show_point = TRUE, type = "area") %>%
  bb_x_axis(label = list(text = "Week", position = "outer-right"),
            tick = list(culling = list(max = 1))) %>%
  bb_y_axis(label = list(text = "Ratio of hours clocked as task", position = "outer-right")) %>%
  bb_y_grid(show = TRUE) %>%
  bb_colors_manual(opacity = 0.25)

第二个选项：将年份和星期连接为字符串

library(data.table)
library(billboarder)

dt <- fread(text = "year Week  Area  Task
2019   52 63.68 28.39
2020    1 58.58 25.43
2020    2 61.54 31.75
2020    3 52.33 27.10")

# Or just concatenate year and week
dt[, year_week := paste(year, Week, sep = "-")]

# Pivot data
dt <- melt(
  data = dt, 
  id.vars = "year_week",
  measure.vars = c("Area", "Task")
)

# Plot
billboarder() %>%
  bb_linechart(dt, bbaes(x = year_week, y = value, group = variable), show_point = TRUE, type = "area") %>%
  bb_x_axis(
    type = "category",
    label = list(text = "Week", position = "outer-right"),
    tick = list(culling = list(max = 1))
  ) %>%
  bb_y_axis(label = list(text = "Ratio of hours clocked as task", position = "outer-right")) %>%
  bb_y_grid(show = TRUE) %>%
  bb_colors_manual(opacity = 0.25)

你必须在bb_x_axis中使用type = "category"，结果有点不同：