dq_complete_plot: Create interactive percent completeness heatmap
In haroldgil/dqcomplete: Create an interactive heatmap of percent completeness values
Description
Usage
Arguments
Value
Description
Create interactive percent completeness heatmap
Usage
1
dq_complete_plot(data, by_var, title, miss = NULL, margin = NULL)
Arguments
data
the dataset
by_var
the variable to stratify by
title
title for your plot
miss
an atomic vector listing what values to classify as missing (besides NA which will count as missing by default)
margin
a list with margin (l:left, r:right, b:bottom, t:top) and padding sizes specified in pixels
Value
a plotly heatmap object
haroldgil/dqcomplete documentation built on May 25, 2019, 5:26 p.m.
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Description Usage Arguments Value
Description
Create interactive percent completeness heatmap
Usage
1 | dq_complete_plot(data, by_var, title, miss = NULL, margin = NULL)
|
Arguments
data |
the dataset |
by_var |
the variable to stratify by |
title |
title for your plot |
miss |
an atomic vector listing what values to classify as missing (besides NA which will count as missing by default) |
margin |
a list with margin (l:left, r:right, b:bottom, t:top) and padding sizes specified in pixels |
Value
a plotly heatmap object
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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