Histogram

The Histogram node creates histograms using ggplot2 to help you visualise the distribution of a single variable in your data.

What it does

Creates a histogram from one column of your dataset
Optionally fill bars by a grouping variable
Supports custom axis labels and bin count
The plot can be downloaded as a PNG image

How to use it

Connect a data source — drag an edge from an Input CSV node
Select a variable — choose which column to plot
Optionally configure — set a fill variable, number of bins, or custom axis labels
Click Run — the histogram is generated and displayed

Configuration

Setting	Required	Description
Upstream connection	Yes	A node providing data
Variable	Yes	The column to plot on the x axis
Fill variable	No	A grouping variable to fill bars by
Number of bins	No	How many bins to use (default: 30)
X axis label	No	Custom label (defaults to column name)
Y axis label	No	Custom label (defaults to “Count”)
Comment	No	Annotation for generated R code

Output

The Output tab displays:

The histogram as an image
A Zoom button to view the plot full-screen
A Download plot button to save it as a PNG file (named histogram_{variable}.png)

Generated R code

Basic histogram:

library(ggplot2)
ggplot(data = my_data, aes(x = height)) +
  geom_histogram() +
  theme_classic()

With fill variable, custom bins and labels:

library(ggplot2)
ggplot(data = my_data, aes(x = height, fill = species)) +
  geom_histogram(bins = 20, position = "identity", alpha = 0.5) +
  theme_classic() +
  labs(x = "Height (cm)", y = "Frequency")

Tips

Choose a numeric column to get a meaningful histogram
The fill variable is useful for comparing distributions across groups
When using a fill variable, bars are overlaid with transparency so you can see both distributions
If the default 30 bins produces a noisy or overly smooth plot, try adjusting the bin count
You can download the plot for use in reports or presentations