Sports Analysis

Personal project in which I analyse the data of a cricket league. The project's Jupyter Notebook is uploaded above.

Language: Python

Packages/modules used:

• pandas
• numpy
• seaborn
• matplotlib.pyplot
• plotly.express
• plotly.graph_objs
• plotly.offline (init_notebook_mode, plot, pilot)
• collections (Counter)

Techniques/Concepts covered:

• Importing data (pd.read_csv)
• Data manipulation: shape, unique(), value_counts(), dt.year(), size(), groupby(), reset_index(), rename(), np.where(), values, index, to_frame(), merge()
• Filtering dataframes
• Data visualization: Pie charts, barplot, bar charts