Heatmap

Heatmap icon

Graphically represent data where individual values contained in a matrix are presented as colours.

Details

Produce a heatmap using two column variables in a given dataset. A heatmap is used to show the graphical correlation between the two variables when mapped against a numeric fill variable. Heatmaps are ideal when you are conducting an exploratory analysis in order to investigate the relationship between variables in your dataset.

Output

An example ouput image for the Heatmap module is coming soon.

Parameters

Variable name Required Constraints Description
x Yes Column Input.

Text, Integer, Decimal Boolean, DateTime, Date

max. 30 values.

The values of this column will be mapped onto the X-axis.
y Yes Column Input.

Text, Integer, Decimal Boolean, DateTime, Date

max. 30 values

The values of this column will be mapped onto the Y-axis.
fill Yes Decimal, Integer The values of this column will determine the correlation between the x and y columns provided above. The fill variable determines the heatmaps colour scale and correlation intensity,
complete Yes Toggle between true and false Toggle between whether you would like to complete the missing variables or not.

This parameter will fill in any white space created in the heatmap.

summary_function Yes choose from none, min, max, mean, median and sum Apply a range of R summary options to the fill variables, or none at all (default).

See Also

Updated on June 18, 2019

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