README.md

In isaac34mi/Rprofiling: Profiling datasets

Rprofiling

This is a simple R pacakge to make it easy to perform first hand data exploration. Like, number of rows, finiding missing values, summary of datatypes, and more!

Dependencies

• tidyverse
• Amilia
• knitr
• Bootstrap css

Installation

Since this package is not on Cran, the easiest way is to use devtools.

devtools::install_github("isaac34mi/Rprofiling")

Usage

There are Six(6) functions in this package * dsetinfo : gives number of variables, observation, number and percentage of missing vlaues, percentage of unique rows. * var_tpes : gives number of available data types in the dataset. * vis_mdata : gives a visualization of rows with missing values. * data_summary : this simply uses mummary function and arranges the result in a nice hovarable table * samp_data : give a sample of the data. 20 rows. * full_profile : puts everything together

### Code Examples This examples uses mtcars dataset.

desetinfo r Rprofiling::dsetinfo(mtcars) Result:

var_types r Rprofiling::var_types(mtcars) Result:

vis_mdata r Rprofiling::vis_mdat(mtcars) Result:

data_summary r Rprofiling::data_summary(mtcars) Result:

samp_data r Rprofiling::samp_data(mtcars) Result:

full_profile r Rprofiling::full_profile(mtcars) Result:

Contribution

All contribution are welcome. Please help make this package more useful to every domain.

isaac34mi/Rprofiling documentation built on May 8, 2019, 11:45 a.m.