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heliprajapati/UACE_data_analysis

Domaine:

education
Créateur:
hel
Hôte:
Data analysis and visualization of educational results data from various districts and schools in the Uganda Advanced Certificate of Education (UACE) administered by the Uganda National Examinations Board (UNEB). . Data Analysis Project README Project Overview This project involves data analysis using Python and the pandas library. The goal of the project is to analyze a dataset containing educational results data from various districts and schools. The dataset is provided in a CSV file named 'UaceResults2011-2015.csv'. The dataset shows the district and school performance in the Uganda Advanced Certificate of Education (UACE) administered by the Uganda National Examinations Board (UNEB) from 2011 to 2015. The performance is indicated as the percentage of candidates who scored in each range of points that include 0-5, 6-10, 11-15, 16-20, 21-25. Gender breakdown is also indicated per school. We provide some analysis to try and get a better understanding of the results. The results are listed by school and show the performance in terms of how many students passed in a particular division. The analysis will focus on understanding trends and patterns in student performance, such as percentage distributions in different score ranges, gender-based differences, and overall district performance. Getting Started Prerequisites To run this project, you will need: Python (version 3.6 or higher) pandas library numpy library Setup Clone this repository to your local machine: shell Copy code git clone github.com Navigate to the project directory: shell Copy code cd data-analysis-project Install the required libraries using pip (Python package manager): shell Copy code pip install pandas numpy Running the Analysis Place the 'UaceResults2011-2015.csv' file in the project directory. Open the Python script 'data_analysis.py' using your preferred text editor or integrated development environment (IDE). Modify the script if necessary to adapt to your specific requirements or analysis goals. Run the script: shell Copy code python data_analysis.py The script will load the dataset, perform analysis, and display the results in a DataFrame. C …