173 lines
4.9 KiB
R
173 lines
4.9 KiB
R
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# ------------------------------------------------------------------------
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#
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# Title : Quick ApexCharts Examples
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# By : Victor
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# Date : 2019-02-14
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#
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# ------------------------------------------------------------------------
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# Packages ----------------------------------------------------------------
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library(apexcharter)
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library(ggplot2)
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library(dplyr)
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# Bar & Column ------------------------------------------------------------
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data("mpg")
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n_manufac <- count(mpg, manufacturer)
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apex(data = n_manufac, type = "bar", mapping = aes(x = manufacturer, y = n))
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apex(data = n_manufac, type = "column", mapping = aes(x = manufacturer, y = n))
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n_manufac_year <- count(mpg, manufacturer, year)
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apex(data = n_manufac_year, type = "bar", mapping = aes(x = manufacturer, y = n, fill = year))
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apex(data = n_manufac_year, type = "column", mapping = aes(x = manufacturer, y = n, fill = year))
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apex(data = n_manufac_year, type = "column", mapping = aes(x = manufacturer, y = n, fill = year)) %>%
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ax_chart(stacked = TRUE)
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# Line, Spline & Area -----------------------------------------------------
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data("economics")
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economics <- tail(economics, 100)
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economics_long <- economics_long %>%
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group_by(variable) %>%
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slice(1:100)
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apex(data = economics, type = "line", mapping = aes(x = date, y = uempmed))
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apex(data = economics, type = "spline", mapping = aes(x = date, y = uempmed))
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apex(data = economics, type = "area", mapping = aes(x = date, y = uempmed))
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apex(data = economics_long, type = "line", mapping = aes(x = date, y = value01, group = variable))
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apex(data = economics_long, type = "spline", mapping = aes(x = date, y = value01, fill = variable))
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apex(data = economics_long, type = "area", mapping = aes(x = date, y = value01, fill = variable))
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apex(data = economics_long, type = "area", mapping = aes(x = date, y = value01, fill = variable)) %>%
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ax_chart(stacked = TRUE) %>%
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ax_dataLabels(enabled = FALSE)
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library(rte.data)
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consumption <- get_consumption(type = c("REALISED", "D-1"))
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apex(data = consumption, type = "line", mapping = aes(x = start_date, y = value, fill = type))
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# Scatter & Bubble --------------------------------------------------------
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apex(data = iris, type = "scatter", mapping = aes(x = Sepal.Length, y = Sepal.Width))
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apex(data = iris, type = "scatter", mapping = aes(x = Sepal.Length, y = Sepal.Width, fill = Species)) %>%
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ax_yaxis(min = min(iris$Sepal.Width))
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apex(data = iris, type = "scatter", mapping = aes(x = Sepal.Length, y = Sepal.Width, fill = Species, z = scales::rescale(Petal.Length))) %>%
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ax_yaxis(min = min(iris$Sepal.Width))
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apex(data = mtcars, type = "scatter", mapping = aes(x = wt, y = mpg))
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apex(data = mtcars, type = "scatter", mapping = aes(x = wt, y = mpg, fill = cyl))
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apex(data = mtcars, type = "scatter", mapping = aes(x = wt, y = mpg, z = scales::rescale(qsec)))
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# Pie ---------------------------------------------------------------------
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fruits <- data.frame(
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name = c('Apples', 'Oranges', 'Bananas', 'Berries'),
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value = c(44, 55, 67, 83)
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)
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apex(data = fruits, type = "pie", mapping = aes(x = name, y = value))
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# Radial ------------------------------------------------------------------
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apex(data = NULL, type = "radialBar", mapping = aes(x = "My value", y = 65))
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apex(data = NULL, type = "radialBar", mapping = aes(x = "My value", y = 65)) %>%
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ax_plotOptions(radialBar = radialBar_opts(
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startAngle = -90, endAngle = 90,
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dataLabels = list(
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name = list(offsetY = -50, fontSize = "32px"),
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value = list(offsetY = -30, fontSize = "26px")
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)
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))
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fruits <- data.frame(
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name = c('Apples', 'Oranges', 'Bananas', 'Berries'),
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value = c(44, 55, 67, 83)
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)
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apex(data = fruits, type = "radialBar", mapping = aes(x = name, y = value))
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# Radar -------------------------------------------------------------------
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data("avengers", package = "billboarder")
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apex(data = avengers, type = "radar", mapping = aes(x = axis, y = value, group = group))
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apex(data = avengers_wide, type = "radar", mapping = aes(x = axis, y = `Captain America`))
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apex(data = head(msleep), type = "radar", mapping = aes(x = name, y = sleep_total))
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mtcars$model <- rownames(mtcars)
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apex(data = head(mtcars), type = "radar", mapping = aes(x = model, y = qsec))
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new_mtcars <- reshape(
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data = head(mtcars),
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idvar = "model",
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varying = list(c("drat", "wt")),
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times = c("drat", "wt"),
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direction = "long",
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v.names = "value",
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drop = c("mpg", "cyl", "hp", "dist", "qsec", "vs", "am", "gear", "carb")
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)
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apex(data = new_mtcars, type = "radar", mapping = aes(x = model, y = value, group = time))
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# Heatmap -----------------------------------------------------------------
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txhousing2 <- txhousing %>%
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filter(city %in% head(unique(city)), year %in% c(2000, 2001)) %>%
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# mutate(date = paste(year, month, sep = "-")) %>%
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rename(val_med = median)
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apex(data = txhousing2, type = "heatmap", mapping = aes(x = date, y = scales::rescale(val_med), group = city)) %>%
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ax_dataLabels(enabled = FALSE) %>%
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ax_colors("#008FFB")
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