Skip to main content

Exploratory Data Analysis

Project description

# exploratory Exploratory Data Analysis

## Description

This project explortory was created to perform Exploratory Data Analysis on any structured dataset. Dataset can have categorical or numerical data types. This project takes pandas dataframe and gives summary statistics and individual plots having categorical count for catagorical variables and PDF’s, CDF’s with mean, median and mode for numerical variables. The both the results are stored in PDF and CSV file in your current directory/path.

## Installation: Use the package manager [pip](https://pypi.org/project/exploratory/) to install exploratory `bash pip install exploratory ` ## Usage:

`python from exploratory import EDA EDA(df) # df --> pandas dataframe ` ## Contributing Pull requests are welcome. Please use this ‘https://github.com/Abhilash-MS/exploratory’ Please feel free to contact authors for any suggestions or issues, Ram <kakarlaramcharan@gmail.com>, Abhilash <abhilashmaspalli1996@gmail.com>

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

exploratory-3.3.5.tar.gz (5.8 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page