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Data visualization using matplotlib and seaborn

Data analysts and scientists often use Matplotlib for basic plotting and then leverage Seaborn for statistical visualizations and enhancing the aesthetics. Seaborn simplifies the process of creating complex plots and its integration with Matplotlib allows users to access the full customization capabilities when needed. This combination provides a powerful toolkit for exploring and presenting data in a visually appealing and informative manner.

Data Visualization techniques demonstrated

  1. Bar charts
  2. Line plots
  3. Scatter plots
  4. Histograms
  5. Box plots
  6. Pie charts
  7. Heatmaps
  8. Area charts
  9. Violin plots
  10. Bubble charts

Dependencies used

  • pandas
  • matplotlib
  • seaborn

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Data visualization using matplotlib and seaborn

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