Unemployment Analysis using Python – A data analysis project that uses Python to clean, explore, and visualize unemployment data, highlighting regional trends and the impact of the COVID-19 pandemic on unemployment rates.
This project analyzes unemployment trends using Python. The dataset contains regional unemployment statistics including unemployment rate, employment estimates, and labor participation rate.
- Analyze unemployment rate trends
- Study the impact of Covid-19 on unemployment
- Identify seasonal patterns
- Visualize unemployment data using Python
- Python
- Pandas
- NumPy
- Matplotlib
- Seaborn
- Jupyter Notebook
data/ – dataset used for analysis
notebooks/ – Jupyter notebook with analysis
images/ – visualizations generated from analysis
The analysis shows fluctuations in unemployment rates across regions, with a noticeable spike during the Covid-19 period. Visualization of the time series helps identify economic patterns and recovery trends.