apexcharter/inst/examples/quick-apex.R

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2019-02-14 16:37:40 +01:00
# ------------------------------------------------------------------------
#
# Title : Quick ApexCharts Examples
# By : Victor
# Date : 2019-02-14
#
# ------------------------------------------------------------------------
# Packages ----------------------------------------------------------------
library(apexcharter)
library(ggplot2)
library(dplyr)
# Bar & Column ------------------------------------------------------------
data("mpg")
n_manufac <- count(mpg, manufacturer)
apex(data = n_manufac, type = "bar", mapping = aes(x = manufacturer, y = n))
apex(data = n_manufac, type = "column", mapping = aes(x = manufacturer, y = n))
n_manufac_year <- count(mpg, manufacturer, year)
apex(data = n_manufac_year, type = "bar", mapping = aes(x = manufacturer, y = n, fill = year))
apex(data = n_manufac_year, type = "column", mapping = aes(x = manufacturer, y = n, fill = year))
# Line, Spline & Area -----------------------------------------------------
data("economics")
economics <- tail(economics, 100)
economics_long <- economics_long %>%
group_by(variable) %>%
slice(1:100)
apex(data = economics, type = "line", mapping = aes(x = date, y = uempmed))
apex(data = economics, type = "spline", mapping = aes(x = date, y = uempmed))
apex(data = economics, type = "area", mapping = aes(x = date, y = uempmed))
apex(data = economics_long, type = "line", mapping = aes(x = date, y = value01, fill = variable))
apex(data = economics_long, type = "spline", mapping = aes(x = date, y = value01, fill = variable))
apex(data = economics_long, type = "area", mapping = aes(x = date, y = value01, fill = variable))
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# Scatter & Bubble --------------------------------------------------------
apex(data = iris, type = "scatter", mapping = aes(x = Sepal.Length, y = Sepal.Width, fill = Species)) %>%
ax_yaxis(min = min(iris$Sepal.Width))