prepdatakit 1.3.2

A Python toolkit for preprocessing datasets.

PrepDataKit

PrepDataKit is a Python package that provides a toolkit for preprocessing datasets. It offers various functions to assist in reading data from different file formats, summarizing datasets, handling missing values, and encoding categorical data.

Installation

You can install PrepDataKit using pip:

pip install prepdatakit

Usage

Here's an example of how to use PrepDataKit:

import prepdatakit

# Read a CSV file
data = prepdatakit.read_file('data.csv')

# Get summary statistics
summary = prepdatakit.get_summary(data)
print(summary)

# Handle missing values
clean_data = prepdatakit.handle_missing_values(data, strategy='remove')

# Encode categorical data
encoded_data = prepdatakit.one_hot_encode(clean_data, columns=['category'])