└── README.md


/README.md:
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 1 | 💼 100 Days, Many Stories: MGNREGA in Data
 2 | An Exploratory Data Science Project on Rural Employment Patterns in India
 3 | 📌 Overview
 4 | This project is a deep-dive analysis into the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA) dataset, covering multiple states from 2017 to 2022. Using Python and popular data science libraries, the project uncovers trends, anomalies, and insights into rural employment schemes over time.
 5 | 
 6 | 🎯 Objectives
 7 | The project is divided into 6 key objectives, each addressing different aspects of the dataset:
 8 | State-wise Employment Distribution (2017–2022)
 9 | → Visual analysis of work demand across states over time.
10 | Annual Trends in Work Demanded
11 | → Line plot of household demand growth across years.
12 | Fund Allocation vs. Utilization
13 | → Explored spending patterns and efficiency over time.
14 | Labour Trend & Forecasting with Regression
15 | → Linear regression analysis to understand future demand.
16 | Heatmap Visualization
17 | → Correlation heatmap to identify patterns between key variables.
18 | Outlier Detection in Work Demand
19 | → Used boxplots to detect anomalies in household demands across years.
20 | 
21 | 🛠️ Tools & Libraries Used
22 | Python 3.x
23 | Pandas
24 | NumPy
25 | Matplotlib
26 | Seaborn
27 | Jupyter Notebook
28 | 


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