Streamline data preprocessing and enhance analysis with our Powerful Data Preparation Package.
Project description
Mass-Analytics: Data Preparation Made Easy
Overview
Mass-Analytics is a Python package designed to streamline the data preparation process. It provides a set of useful functions that simplify common data preparation tasks, making it easier for data scientists and analysts to get their data ready for analysis and modeling.
Key Features
- Read data from various sources and formats.
- Perform data cleaning and preprocessing.
- Handle missing data effectively.
- Feature engineering and transformation.
- Simplify data transformation pipelines.
Installation
You can install mass-analytics
using pip
.
pip install mass-analytics
Usage
Import the mass-analytics
package as ma
and use its functions for data preparation tasks.
import mass_analytics as ma
# Read data from a file
data_frame = ma.read_data("path/to/your/data.csv")
# Display data
print(data_frame)
Authors
- Mejdi Trabelsi
- Mohamed Selim Alouini
Project Status
The project is currently in development. We are actively working on adding more features and improving the existing ones. Your feedback and contributions are highly appreciated!
Project details
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Source Distribution
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