Unemployment Analysis

1. Context & Objective

This project analyzes and visualizes the unemployment rate across different regions of India during the COVID-19 pandemic to understand the economic impact through interactive charts.

2. Methodology

import pandas as pd
import plotly.express as px

df = pd.read_csv('Unemployment_in_India.csv')
df.columns = df.columns.str.strip()

fig = px.bar(df, x='Region', y='Estimated Unemployment Rate (%)',
             color='Region', title='Unemployment Rate by Region',
             template='plotly_dark')
fig.show()

3. Final Learnings

Visualizations clearly depicted a massive spike in unemployment during the April-May 2020 lockdown. Plotly proved highly effective at rendering interactive data maps for regional comparisons.