https://github.com/pradipece/interactive_analytics_data_automation

This project combining Streamlit with Plotly for visualisations enables users to manipulate complex datasets with minimal coding effort.
https://github.com/pradipece/interactive_analytics_data_automation

automation data-science data-visualization pandas plotly streamlit

Last synced: 18 days ago
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This project combining Streamlit with Plotly for visualisations enables users to manipulate complex datasets with minimal coding effort.

• Host: GitHub
• URL: https://github.com/pradipece/interactive_analytics_data_automation
• Owner: pradipece
• Created: 2024-12-17T17:32:35.000Z (22 days ago)
• Default Branch: main
• Last Pushed: 2024-12-17T19:30:17.000Z (22 days ago)
• Last Synced: 2024-12-17T19:39:05.657Z (22 days ago)
• Topics: automation, data-science, data-visualization, pandas, plotly, streamlit
• Language: Python
• Homepage:
• Size: 735 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
## Environment setup for the data analysis app

 

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`