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https://github.com/dilkushsingh/india-census-2011-analysis
Analysis of Census 2011 data using Plotly and Streamlit. Deployed on Streamlit cloud.
https://github.com/dilkushsingh/india-census-2011-analysis
pandas plotly python streamlit streamlit-cloud
Last synced: about 6 hours ago
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Analysis of Census 2011 data using Plotly and Streamlit. Deployed on Streamlit cloud.
- Host: GitHub
- URL: https://github.com/dilkushsingh/india-census-2011-analysis
- Owner: dilkushsingh
- License: mit
- Created: 2024-08-05T10:36:19.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2024-08-06T05:00:50.000Z (3 months ago)
- Last Synced: 2024-08-07T07:08:07.702Z (3 months ago)
- Topics: pandas, plotly, python, streamlit, streamlit-cloud
- Language: Jupyter Notebook
- Homepage: https://india-census-2011-analysis.streamlit.app/
- Size: 297 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# India Census 2011 Analysis
## Overview
This project involves an in-depth analysis of the India Census 2011 data. The data was sourced from Kaggle and used to create a Streamlit app featuring Plotly graph. The app has been deployed on Streamlit Cloud for easy access and visualization.
Steamlit app can be accessed from [App](https://india-census-2011-analysis.streamlit.app/)
## Data
I have used India Census 2011 data which is gathered from Kaggle. Also the Datasets are included in the Github repo.## Technologies Used
- **Python**: The main programming language used for data processing and visualization.
- **Pandas**: For data manipulation and analysis.
- **Plotly**: For creating interactive and visually appealing graphs.
- **Streamlit**: For building and deploying the web app.## Installation
To run the app locally, follow these steps:
1. Clone the repository:
```bash
git clone https://github.com//india-census-2011-analysis.git
cd india-census-2011-analysis
```
2. Install dependencies:
```bash
pip install -r requirements.txt
```
3. Run Streamlit app:
```bash
streamlit run app.py
```
## Contact
If you want to contact me:
- Email [Email](mailto:[email protected])
- LinkedIn [LinkedIn](https://linkedin.com/in/dilkushsingh)