https://github.com/sohhamseal/help-me-with-my-data

A website to help users view, verify and modify data for preprocessing and apply various classical ML algorrithms
https://github.com/sohhamseal/help-me-with-my-data

correlation-analysis data-transformation data-visualization descriptive-analysis exploratory-data-analysis k-means-clustering regression-analysis

Last synced: 3 months ago
JSON representation

A website to help users view, verify and modify data for preprocessing and apply various classical ML algorrithms

• Host: GitHub
• URL: https://github.com/sohhamseal/help-me-with-my-data
• Owner: SohhamSeal
• Created: 2024-04-27T06:09:32.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2024-05-01T12:50:42.000Z (about 2 years ago)
• Last Synced: 2025-03-03T08:14:15.580Z (over 1 year ago)
• Topics: correlation-analysis, data-transformation, data-visualization, descriptive-analysis, exploratory-data-analysis, k-means-clustering, regression-analysis
• Language: HTML
• Homepage:
• Size: 182 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

          
# Help me with my data

Welcome to the "Help me with my data" project! This web development endeavor aims to provide a user-friendly platform for data preprocessing, analysis, and basic Exploratory Data Analysis (EDA). Whether you're new to data science or a seasoned practitioner, this tool will assist you in efficiently preparing your dataset and gaining valuable insights.

## About the Simulator

The simulator offers a seamless experience for data preprocessing and analysis. Here's what you can expect:

1. **Data Input:**

   - Upload an Excel or CSV file for automatic configuration of the dataset.

   - Alternatively, opt for manual entry, providing the number of rows, columns, and entering values individually.

2. **Data Overview:**

   - After data input, view a comprehensive overview of your dataset, displaying all columns and rows in a page view format.

3. **Data Transformation:**

   - Utilize the transform option to clean and preprocess your data efficiently.

     - Replace missing or incorrect values.

     - Options include:

       - series mean,

       - series median,

       - nearby points mean (based on a user-defined hyperparameter),

       - nearby points median,

       - interpolation (coming soon).

4. **Analysis:**

   - Choose dependent and independent variables to proceed with the analysis.

   - Options include:

     - Descriptive analysis:

         - frequency,

         - mean,

         - standard deviation, and

         - Interquartile Range (IQR) values.

     - Correlations: Examine correlations within the entire dataset or a subset of columns.

     - Regression: Perform linear regression analysis.

     - Clustering: Utilize K-means clustering with customizable parameters such as distance metrics (e.g., Euclidean, Manhattan, ).

## 🖼️ Screenshots

[Placeholder for screenshots]

---

With "Help me with my data," you can streamline your data preprocessing workflow and gain valuable insights from your datasets. Get started today and unlock the power of your data! 🚀

If you have any questions, feedback, or suggestions, feel free to reach out. Happy analyzing! 📈