Logo Lanfrica
  • Home
  • Atlas
  • Insights
  • Docs
  • Sign in

© 2026 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.

Keltings/Youth_Unemployment_IT

Domain:

socioeconomic
Creator:
Kel
Host:
An Analysis on the youth employment and unemployment sectors in Kenya and Rwanda # Population and Education Analysis Dashboard This repository contains code and data for analyzing population and education trends using Python, pandas, Plotly, and Streamlit. ## Link to Dashboard: Youth - Employment/Unemployment in the IT Sector ## Table of Contents 1. Introduction 2. Getting Started 3. Installation 4. Data 5. Data Preprocessing 6. Population Analysis 7. Education Analysis 8. Running the Streamlit App 9. Insights 10. Contributing 11. License ## Introduction This project aims to provide an interactive dashboard for analyzing population and education trends in different countries. The analysis is conducted using Python and its data visualization libraries, including pandas, Plotly, and Streamlit. Getting Started To use this code, follow the instructions below. ## Installation Clone this repository to your local machine using: ```bash git clone github.com ``` Navigate to the repository directory: ```bash cd Youth_Unemployment_IT ``` Create a virtual environment (optional but recommended): ```bash python -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate ``` Install the required packages: ```bash pip install -r requirements.txt ``` ## Data The project utilizes two datasets: ken_rwa_pop.csv: Population data with demographic information ken_rwa_edu.csv: Education data with details on education levels and employment ## Data Preprocessing The datasets are preprocessed to handle missing values and ensure data consistency. ## Population Analysis The population analysis includes the following visualizations: Total inactive population by year and sex Total unemployed population by sex Total employed population by year and sex IT employment trends by year and gender ## Education Analysis The education analysis includes the following visualizations: Education level distribution by age group Total unemployed population by education level and year Total employed population by e …

Visit

github.com

Languages

Rwa

Tags

programmingpyplotpythonstreamlit

Similar

Keltings/South-Africa-Language-Detection

Keltings/South-Africa-Language-Detection

NLP's Language Identification task of determining the natural language that a piece of text is writt