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GitHub Repos to Learn Data Visualisation
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matplotlib / cheatsheets β the official Matplotlib cheat sheets from the library itself. Bookmark this before you write your first plot. github.com/matplotlib/cβ¦
TirendazAcademy / Data-Visualization-with-Python β structured Jupyter notebooks covering Matplotlib, Seaborn, and Pandas. A clean start if you have never made a chart in Python. github.com/TirendazAcadβ¦
tusharnankani / data-analysis-with-python β built alongside a freeCodeCamp course. Covers visualisation from zero with real datasets, runnable directly in Google Colab. github.com/tusharnankanβ¦
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stefmolin / python-data-viz-workshop β a Bloomberg data scientist's 170-hour workshop. Matplotlib, Seaborn, and interactive charts with exercises and solutions included.
rfordatascience / tidytuesday β a new real-world dataset every week to practise visualisation on. Used in 30+ university courses. Works with Python as well as R.
neerjad / DataVisualization β covers Seaborn, Bokeh, time series, and network graphs. Good for moving beyond bar charts into more interesting chart types.
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AmirhosseinHonardoust / Beyond-Charts-Interactive-Storytelling β Streamlit and Plotly for interactive dashboards. RFM segmentation, cohort analysis. Build visuals your stakeholders can actually use. github.com/AmirhosseinHβ¦
hal9ai / awesome-dataviz β the curated master list of visualisation libraries and tools across Python, JS, and R. 4.3K stars. Use it to explore what is possible beyond Matplotlib.
