explore_summary: Provides basic summary statistics and wholistic information...
In UBC-MDS/xplrrr: This package makes exploratory data analysis (EDA) simple and seamless. EDA is a crucial phase in the data science workflow as it allows us get a fist glimpse of the data. It is important to identify statistical characteristics of the data so that we can properly set up the rest of the analysis
Description
Usage
Arguments
Value
Examples
View source: R/explore_summary.R
Description
Provides basic summary statistics and wholistic
information about all the features of provided data
Usage
1
Arguments
df
dataframe (clean)
Value
a summary dataframe
Examples
1
UBC-MDS/xplrrr documentation built on April 2, 2020, 4 a.m.
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Description Usage Arguments Value Examples
View source: R/explore_summary.R
Description
Provides basic summary statistics and wholistic information about all the features of provided data
Usage
1 |
Arguments
df |
dataframe (clean) |
Value
a summary dataframe
Examples
1 |
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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