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@thomasthaddeus thomasthaddeus released this 03 Jan 03:50
· 152 commits to main since this release
v1.0.0
6cc79e6

Release Notes for DataAnalysisToolkit Version 1.0.0

We are excited to announce the release of DataAnalysisToolkit 1.0.0. This major release marks a significant milestone in our journey to provide a comprehensive and user-friendly Python package for data analysis. This version includes a range of new features, enhancements, and bug fixes to improve your data analysis experience.

What's New

Major Features

  1. Data Loading and Preprocessing

    • Load data directly from CSV files.
    • Preprocess data with functionalities such as handling missing values, dropping duplicates, and encoding categorical features.

  2. Statistical Analysis

    • Perform various statistical calculations including mean, median, mode, and trimmed mean.

  3. Outlier Detection

    • Implement outlier detection using the z-score method.

  4. Data Visualization

    • Integrate a Data Visualizer for generating plots like histograms, scatter plots, box plots, and more.

  5. Feature Engineering

    • Include a module for feature engineering, enabling the creation of new data features that can improve model performance.

  6. Model Evaluation

    • Provide tools for evaluating machine learning models, including functions to generate confusion matrices, precision, recall, and other metrics.

  7. Report Generation

    • Generate comprehensive HTML reports of your data analysis, including statistical summaries and visualizations.

  8. Data Imputation

    • Offer advanced data imputation techniques like mean, median, most frequent, and constant value imputations.

Enhancements

  • Improved performance and efficiency in data processing.
  • Enhanced data visualization capabilities with additional plot types.
  • More robust data imputation options to handle various missing data scenarios.

Bug Fixes

  • Fixed issues related to data loading in specific edge cases.
  • Resolved minor bugs in data visualization functions.
  • Addressed inconsistencies in statistical calculations.

Breaking Changes

  • Some function signatures have been modified for better clarity and consistency. Please refer to the documentation for detailed information.

Documentation

  • Updated documentation is available, providing comprehensive guides and examples for all the functionalities of the DataAnalysisToolkit.

Acknowledgments

Special thanks to our contributors and the community for their invaluable feedback and suggestions that have significantly shaped this release.

Installation

To install this version, run:

pip install dataanalysistoolkit==1.0.0

We are committed to continually improving DataAnalysisToolkit and we welcome any feedback or suggestions for future releases. Thank you for your support!

DataAnalysisToolkit Team

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