A Python package for data preparation tasks.
Project description
DataPrepKitP
A Python library for data preparation tasks.
Features
Read data from CSV, Excel, and JSON files. Summarize data with statistical measures. Handle missing values by removing or imputing. Encode categorical data using one-hot encoding.
Installation
pip install DataPrepKitP
Usage
import DataPrepKitP as dp
Read data from a CSV file
data = dp.read_data('data.csv')
Summarize the data
dp.data_summary(data)
Handle missing values by imputing with the strategy: {'mean', 'median', 'mode', 'drop'}, default='mean'
data = dp.handle_missing_values(data, strategy='mean')
Encode categorical data
data = dp.encode_categorical_data(data, 'column_name')
License
This project is licensed under the MIT License.
Contact
If you have any questions or suggestions, please feel free to contact me at roqaiahjamil@gmail.com.
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