Series 17: Data Visualization with Matplotlib and Seaborn

Tables answer what happened; charts answer whether that matters at a glance. This series bridges the NumPy/Pandas work you already did with publication-quality plots: first with Matplotlib’s explicit API, then Seaborn’s shortcuts for statistical charts, and finally a look at interactive dashboards with Plotly and Dash.

Articles

• 129. Introduction to data visualization
• 130. Matplotlib (Part 1): Line, bar, and scatter plots
• 131. Matplotlib (Part 2): Labels, titles, and colors
• 132. Matplotlib (Part 3): Subplots and figures
• 133. Seaborn (Part 1): Introduction to Seaborn
• 134. Seaborn (Part 2): Histograms and box plots
• 135. Seaborn (Part 3): Relational and categorical plots
• 136. Data dashboard with Plotly and Dash (introduction)