You will learn how to create an **interactive Bar Plot in R** using the highchart R package.

Contents:

## Loading required R packages

```
# Load required R packages
library(highcharter)
# Set highcharter options
options(highcharter.theme = hc_theme_smpl(tooltip = list(valueDecimals = 2)))
```

## Data preparation

We’ll create two data frames derived from the `ToothGrowth`

datasets.

```
df <- data.frame(dose=c("D0.5", "D1", "D2"),
len=c(4.2, 10, 29.5))
head(df)
```

```
## dose len
## 1 D0.5 4.2
## 2 D1 10.0
## 3 D2 29.5
```

```
df2 <- data.frame(supp=rep(c("VC", "OJ"), each=3),
dose=rep(c("D0.5", "D1", "D2"),2),
len=c(6.8, 15, 33, 4.2, 10, 29.5))
head(df2)
```

```
## supp dose len
## 1 VC D0.5 6.8
## 2 VC D1 15.0
## 3 VC D2 33.0
## 4 OJ D0.5 4.2
## 5 OJ D1 10.0
## 6 OJ D2 29.5
```

`len`

: Tooth length`dose`

: Dose in milligrams (0.5, 1, 2)`supp`

: Supplement type (VC or OJ)

## Basic barplots

Basic vertical barplots:

```
hc <- df %>%
hchart('column', hcaes(x = dose, y = len))
```

`hc`

Make horizontal bar plot:

```
hc <- df %>%
hchart(
'bar', hcaes(x = dose, y = len),
color = "lightgray", borderColor = "black"
)
```

`hc`

Change the width of bars using the argument `pointWidth`

(e.g.: width = 15).

```
# Change bar widths
df %>% hchart(
'column', hcaes(x = dose, y = len),
pointWidth = 15
)
```

## Change barplot colors by groups

We’ll change the barplot line and fill color by the variable `dose`

group levels.

```
# Change barplot fill colors by groups
hc <- df %>%
hchart(
'column', hcaes(x = dose, y = len, color = dose)
)
```

`hc`

## Barplot with multiple groups

**Create stacked and dodged bar plots**. Use the functions `hc_colors()`

to set manually the bars colors.

Dodged bars:

```
hc <- df2 %>%
hchart('column', hcaes(x = 'dose', y = 'len', group = 'supp')) %>%
hc_colors(c("#0073C2FF", "#EFC000FF"))
```

`hc`

Stacked bar plots:

```
hc <- df2 %>%
hchart(
'column', hcaes(x = 'dose', y = 'len', group = 'supp'),
stacking = "normal"
) %>%
hc_colors(c("#0073C2FF", "#EFC000FF"))
```

`hc`

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