DataPrep v0.2 is a Tkinter-based GUI application/tool designed to assist users in data preprocessing, multicollinearity removal, and feature selection for a wide range of applications in Cheminformatics, Bioinformatics, Data Analysis, Feature Selection, Molecular Modeling, Machine Learning, and Quantitative-structure-property relationship (QSPR) studies. It includes functionality to load, process, and save datasets with support for different preprocessing & multicollinearity removal strategies with customizable parameter setting options.

Features

  • Versatile Data Handling: Load data from CSV, XLS, and XLSX files.
  • Flexible Data Export: Save your data in CSV or Excel formats.
  • Choose correlation method (Pearson, Spearman, Kendall).
  • Four different dataset pre-processing methods.
  • Intuitive GUI: Navigate the application without any hassle.

Project Samples

DataPrep Screenshot 1 DataPrep Screenshot 2

Project Activity

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Categories

Bio-Informatics, Statistics, Data Analytics

License

Other License

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Additional Project Details

Operating Systems

Windows

Intended Audience

Science/Research, Education

User Interface

Tk

Programming Language

Python

Related Categories

Python Bio-Informatics Software, Python Statistics Software, Python Data Analytics Tool

Registered

1 day ago
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