Matplotlib Session 2: Bar Charts, Histograms, Scatter Plots and Subplots Explained

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A DEV Community tutorial builds on basic Matplotlib line-plotting skills by introducing four core chart types used in data analysis. Bar charts and horizontal bar charts are covered for comparing discrete categories, while histograms are explained for visualising the distribution of continuous numeric data. Scatter plots are demonstrated to reveal relationships between two variables, with an extension into bubble charts that encode a third variable through marker size and colour. The guide also introduces subplots, enabling analysts to display multiple views of data within a single figure. Practical Python code examples accompany each chart type, with tips on when to use each and common beginner mistakes to avoid.

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