FazeJ99/Employment-trends-Analysis-Dashboard

Kenya Employment Data Analysis and Visualization using Python and Streamlit library # Kenyan Employment Data Visualization Dashboard ## Overview This project is a Streamlit application that provides an interactive dashboard for visualizing employment data in Kenya. The dashboard allows users to explore various employment-related metrics such as unemployment rates, total employed populations, and sector-wise employment trends. ## Features - **Interactive Visualizations**: Users can select from multiple visualization options to analyze the data. - **Data Insights**: The dashboard presents key insights into the Kenyan labor market, segmented by age group and sex. - **Dynamic Filtering**: Users can filter data based on their selections to view specific trends and statistics. ## Technologies Used - **Streamlit**: For building the web application interface. - **Plotly**: For creating interactive visualizations. - **Pandas**: For data manipulation and analysis. ## Dataset The dataset used in this project contains various employment metrics for Kenya, including: - Population by age group and sex - Unemployment rates - Total employed and unemployed populations - Employment distribution across different sectors The dataset can be found at the following URL: Dataset CSV ### Sample Data Structure ```plaintext name,age_group,sex,year,population,ILO_inactive_share,total_inactive_population,ILO_unemployed_rate,total_unemployed_population,total_employed_population,Agriculture,... Kenya,15-24,female,2015,4742700.0,55.928,... Kenya,15-24,male,2015,4769000.0,53.436,... ``` ## Installation To run this application locally, follow these steps: ### 1. Clone this repository: bash git clone github.com cd repository-name ### 2. Install the requirements.txt file: bash pip install -r requirements.txt ### 3. Run the Streamlit application: bash streamlit run app.py ## Usage 1. Open your web browser and navigate to localhost. 2. Use the sidebar to select different visualizations. 3. Explore the insig …