Highcharter - Barplots

Highcharter is one of the best interactive visualization package available in R. Barplots are the most commonly used plots in the data visualization world.

What is highcharter?

Highcharter is a R wrapper for Highcharts javascript library and its modules. Highcharts is very flexible and customizable javascript charting library and it has a great and powerful API.

Data View

We are going to use this dataset for plotting different variations of the barplots

library(tidyverse)
library(highcharter)
library(DT)

DT::datatable(mpg)

Show 102550100 entries

Search:

	manufacturer	model	displ	year	cyl	trans	drv	cty	hwy	fl	class
1	audi	a4	1.8	1999	4	auto(l5)	f	18	29	p	compact
2	audi	a4	1.8	1999	4	manual(m5)	f	21	29	p	compact
3	audi	a4	2	2008	4	manual(m6)	f	20	31	p	compact
4	audi	a4	2	2008	4	auto(av)	f	21	30	p	compact
5	audi	a4	2.8	1999	6	auto(l5)	f	16	26	p	compact
6	audi	a4	2.8	1999	6	manual(m5)	f	18	26	p	compact
7	audi	a4	3.1	2008	6	auto(av)	f	18	27	p	compact
8	audi	a4 quattro	1.8	1999	4	manual(m5)	4	18	26	p	compact
9	audi	a4 quattro	1.8	1999	4	auto(l5)	4	16	25	p	compact
10	audi	a4 quattro	2	2008	4	manual(m6)	4	20	28	p	compact

Showing 1 to 10 of 234 entries

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Default Bar Plot is a Horizontal plot

makers <- count(mpg, manufacturer)

hchart(
  makers,
  "bar",
  hcaes(x=manufacturer, y= n)
)

How to make it a vertical bar plot

hchart(
  makers,
  "column",
  hcaes(x=manufacturer, y= n)
)

How to change the default color of the bars

hchart(
  makers,
  "column",
  hcaes(x=manufacturer, y= n),
  color = "maroon"
)

How to sort the bars in the plot in a order

mpg %>%
  group_by(manufacturer) %>%
  count() %>%
  arrange(desc(n)) -> makers 

hchart(
  makers,
  "column",
  hcaes(x=manufacturer, y= n),
  color = "maroon"
)

How to Create Side by Side Bar plot

mpgman2 <- count(mpg, manufacturer, year)

hchart(
  mpgman2, 
  "bar",
  hcaes(x = manufacturer, y = n, group = year),
  color = c("maroon", "darkgrey"),
  name = c("Year 1999", "Year 2008")
  )

How to Create Side by Side Column plot

mpgman2 <- count(mpg, manufacturer, year)

hchart(
  mpgman2, 
  "column",
  hcaes(x = manufacturer, y = n, group = year),
  color = c("maroon", "darkgrey"),
  name = c("Year 1999", "Year 2008")
  )

How to Sort the Bars based on Categorical Attribute

mpg %>%
  group_by(manufacturer, year) %>%
  count() %>%
  arrange(desc(manufacturer)) -> makers 

hchart(
  makers, 
  "column",
  hcaes(x = manufacturer, y = n, group = year),
  color = c("maroon", "darkgrey"),
  name = c("Year 1999", "Year 2008")
  )

How to Create Stacked Bars plot

mpgman2 <- count(mpg, manufacturer, year)

hchart(
  mpgman2, 
  "column",
  hcaes(x = manufacturer, y = n, group = year),
  color = c("maroon", "darkgrey"),
  name = c("Year 1999", "Year 2008"),
  stacking = "normal"
  )

Credits

• Thanks to Joshua Kunst for creating such a wonderful package for visualization
• Thanks to the whole team at RStudio and the whole R community