univarCatDistPlots: Univariate Categoric Distribution
In analysisPipelines: Compose Interoperable Analysis Pipelines & Put Them in Production
Description
Usage
Arguments
Details
Value
See Also
Examples
View source: R/r-batch-eda-utilities.R
Description
Univariate Categoric Distribution
Usage
1
univarCatDistPlots(data, uniCol, priColor = "blue", optionalPlots = 0)
Arguments
data
the dataset where the column on which the plot is to be generated is present
uniCol
the name of column on which the plot needs to be generated
priColor
the primary color for the plots
optionalPlots
A Flag for optional plots
Details
A univariate distribution graph on the selected categorical columns from the dataframe
Value
A univariate categoric distribution plot
See Also
Other Package EDA Utilites functions: CheckColumnType,
bivarPlots,
correlationMatPlot,
getDatatype, ignoreCols,
multiVarOutlierPlot,
outlierPlot
Examples
1
univarCatDistPlots(data = iris, uniCol = "Species")
analysisPipelines documentation built on July 1, 2020, 7:09 p.m.
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Description Usage Arguments Details Value See Also Examples
View source: R/r-batch-eda-utilities.R
Description
Univariate Categoric Distribution
Usage
1 | univarCatDistPlots(data, uniCol, priColor = "blue", optionalPlots = 0)
|
Arguments
data |
the dataset where the column on which the plot is to be generated is present |
uniCol |
the name of column on which the plot needs to be generated |
priColor |
the primary color for the plots |
optionalPlots |
A Flag for optional plots |
Details
A univariate distribution graph on the selected categorical columns from the dataframe
Value
A univariate categoric distribution plot
See Also
Other Package EDA Utilites functions: CheckColumnType,
bivarPlots,
correlationMatPlot,
getDatatype, ignoreCols,
multiVarOutlierPlot,
outlierPlot
Examples
1 | univarCatDistPlots(data = iris, uniCol = "Species")
|
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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