https://github.com/pradipece/interactive_analytics_data_automation

This project allows users to control complex dataset processing with Python programming by merging Streamlit with Plotly for visualizations.
https://github.com/pradipece/interactive_analytics_data_automation

automation data-science data-visualization pandas plotly streamlit

Last synced: 3 months ago
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This project allows users to control complex dataset processing with Python programming by merging Streamlit with Plotly for visualizations.

• Host: GitHub
• URL: https://github.com/pradipece/interactive_analytics_data_automation
• Owner: pradipece
• License: mit
• Created: 2024-12-17T17:32:35.000Z (7 months ago)
• Default Branch: main
• Last Pushed: 2025-01-26T17:13:58.000Z (6 months ago)
• Last Synced: 2025-04-08T13:21:59.647Z (3 months ago)
• Topics: automation, data-science, data-visualization, pandas, plotly, streamlit
• Language: Python
• Homepage:
• Size: 742 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
## Environment setup for the data analysis

 

Import the necessary library

- `pandas` for the data analysis

- `plotly.express` for the data interactive visualizations

- `streamlit` for the web app interface

![images](Utilities/img.png)

## Features

1. Web application in the browser tab

2. Use the streamlit Library 

3. Upload Data file 

4. Visualizations data

5. Statistical analysis

6. Basic information for the dataset

7. Quickly visualize the distribution of values within a column

8. Grouping data insights

9. Aggregation functions

    `Sum` `max` `min` `mean` etc

## Files system

- Excel file or CSV file 

## Output

![img](Utilities/img1.png)

![img.png](Utilities/img2.png)

![img.png](Utilities/img3.png)

![img.png](Utilities/img4.png)

`Run: streamlit run app.py`