A Jupyter notebook that performs exploratory data analysis (EDA) and visualization on a PUBG dataset to highlight trends in player behavior and match outcomes.
Notebook: Data_Visualization_of_PUBG_Dataset.ipynb
- Data cleaning (missing values, types)
- Summary statistics (kills, damage, win rates)
- Visualizations using
matplotlib/seaborn(histograms, boxplots, scatter plots)
- Install dependencies:
pip install pandas matplotlib seaborn - Start Jupyter and open the notebook:
jupyter notebook Data_Visualization_of_PUBG_Dataset.ipynb
Great for practicing data wrangling, visualization, and interpreting real dataset patterns.