Metadata-Version: 2.1
Name: qdesc
Version: 0.0.5
Author: Paolo Hilado
Author-email: datasciencepgh@proton.me
Description-Content-Type: text/markdown
License-File: LICENCE.txt

This is a package for quick and easy descriptive analysis.
Required packages include: pandas, numpy, and SciPy version 1.14.1
Be sure to run the following prior to using the "qd.desc" function:

- import pandas as pd
- import numpy as np
- from scipy.stats import anderson
- import qdesc as qd

The qdesc package provides a quick and easy approach to do descriptive analysis for quantitative data.

Run the function qd.desc(df) to get the following statistics:
* count - number of observations
* mean - measure of central tendency for normal distribution	
* std - measure of spread for normal distribution
* median - measure of central tendency for skewed distributions or those with outliers
* MAD - measure of spread for skewed distributions or those with outliers; this is manual Median Absolute Deviation (MAD) which is more robust when dealing with non-normal distributions.
* min - lowest observed value
* max - highest observed value	
* AD_stat	- Anderson - Darling Statistic
* 5% crit_value - critical value for a 5% Significance Level	
* 1% crit_value - critical value for a 1% Significance Level
