This project focuses on performing exploratory data analysis on groundwater data for different states in India. The analysis provides insights into groundwater extraction, availability, allocation, and distribution at both the state and district levels.
The dataset used for this analysis contains the following information:
- State-wise groundwater extraction
- Annual groundwater availability
- Groundwater allocation to districts
The dataset is available in the file groundwater_data.csv. It is a comma-separated values (CSV) file that can be easily imported and analyzed using various data analysis libraries.
The project structure is organized as follows:
data: This folder contains the dataset fileData.csv.notebooks: This folder contains Jupyter notebooks for data cleaning, exploratory analysis, and visualization.plots: This folder stores the generated plots and visualizations.README.md: This file provides an overview of the project and its components.
To run the Jupyter notebooks and reproduce the analysis, you need the following dependencies:
- Python 3.x
- Jupyter Notebook
- pandas
- matplotlib
- seaborn
- flask
You can install these dependencies using the provided requirements.txt file. Run the following command to install the required packages:
pip install -r requirements.txt
- Clone the repository:
git clone https://github.com/jagansanikommu/ground_water_analysis.git
- Navigate to the project directory:
cd ground_water_analysis
- Install the required dependencies:
pip install -r requirements.txt
-
Run the app.py in the
app.pyfile to perform the data analysis and generate visualizations. -
The generated plots will be saved in the
plotsfolder.
Contributions to this project are welcome. If you have any suggestions, improvements, or additional features, feel free to submit a pull request.
This project is licensed under the [MIT License](Copyright (c) 2023 Jaganmohan Reddy Sanikommu).
Feel free to modify the information based on your project's specific details.