To run this project, you only need a basic scientific Python environment with NumPy (for loading and processing the CO₂ dataset) and Matplotlib (for plotting and saving visualizations). Make sure your Python version is 3.9+, and install the required packages with either conda install numpy matplotlib or pip install numpy matplotlib. After installing these libraries, you can directly run the script to reproduce all data analysis steps and figures.
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Data analysis project using NumPy for CSV processing and numerical operations, and Matplotlib for plotting CO₂ emission trends (1990–2014) from World Bank data. Python scripts demonstrating data loading, cleaning, and numerical analysis, along with data visualization.
DennisHao1211/Python-Data-Analysis
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Data analysis project using NumPy for CSV processing and numerical operations, and Matplotlib for plotting CO₂ emission trends (1990–2014) from World Bank data. Python scripts demonstrating data loading, cleaning, and numerical analysis, along with data visualization.
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