avatarEbrahim Haque Bhatti

Summary

The website provides a curated list of 50 Kaggle notebooks that serve as resources for learning data visualization techniques using various tools such as Plotly, Seaborn, D3.js, and Bokeh.

Abstract

The web content introduces users to a collection of 50 Kaggle notebooks specifically chosen to enhance skills in data visualization. These notebooks cover a range of visualization libraries and tools, including Plotly, Seaborn, D3.js, and Bokeh, offering tutorials and practical examples for both beginners and those looking to advance their skills. The resources are organized into sections based on the tool or library they focus on, with each entry providing a link to a Kaggle kernel where users can explore and interact with the code. The notebooks range from basic introductions to more complex interactive visualizations, ensuring a comprehensive learning path for anyone interested in the field of data visualization.

Opinions

  • The author believes that the listed Kaggle notebooks are valuable for learning data visualization, as they are created by experienced practitioners in the field.
  • The content suggests that interactive visualizations, such as those created with Plotly and Bokeh, are particularly useful for data analysis.
  • The inclusion of a variety of tools indicates an opinion that no single tool is superior for all data visualization tasks, and proficiency in multiple tools is beneficial.
  • The author likely considers hands-on practice through Kaggle notebooks to be an effective way to learn, as evidenced by the practical examples and tutorials provided.
  • By offering resources from beginner to advanced levels, the author acknowledges that data visualization is a skill that can be developed progressively over time.

50 Kaggle Notebooks to Learn Data Visualization

Data Visualization, Plotly, Seaborn, D3.js, Bokeh

Photo by Steve Johnson

ABC of Data Visualization

  1. Python Data Visualizations
  2. Tips for making the Informative Visualization
  3. Feature Selection and Data Visualization
  4. Strength of visualization-python visuals tutorial
  5. In-Depth Analysis & Visualisations — Avito
  6. Welcome to data visualization
  7. Geolocation visualisations
  8. Road to Viz Expert (1) — Unusual tools
  9. Detailed Cleaning/Visualization (Python)
  10. Map visualizations with external shapefile
  11. Rare Visualization Tools

Plotly

12. Interactive Porto Insights — A Plot.ly Tutorial

13. Introduction to plotly (Optional)

14. Plotly Tutorial for Beginners

15. Decision Boundaries visualised via Python & Plotly

16. Generation Unemployed? Interactive Plotly Visuals

17. SQL and Python primer — Bokeh | Plotly

18. PLOTLY TUTORIAL — 1

19. PLOTLY TUTORIAL — 2

20. Guide to Animated Bubble Charts using Plotly

21. Earthquake Animation with Plotly

22. Intermediate visualization tutorial using Plotly

23. Global Religion 1945–2010: Plotly & Pandas visuals

Seaborn

24. Hello, Seaborn

25. Seaborn Tutorial for Beginners

26. Visualizing Pokémon Stats with Seaborn

27. Plotting with seaborn

28. Faceting with seaborn

29. Humble Intro to Analysis with Pandas and Seaborn

30. Plotting with pandas, matplotlib, and seaborn

31. Exploratory Analysis with Seaborn

32. Cheat Sheet: Seaborn Charts

33. Seaborn plot to visualize Iris data

34. Seaborn Tutorial For Beginners

D3.Js

35. Comprehensive Python and D3.js Favorita analytics

36. Zoomable Circle Packing via D3.js in IPython

37. Interactive D3.js Visualisations in Kaggle Kernels

38. Ghastly Network and D3.js Force-directed graphs

39. Zoomable Circle Packing via D3.js in IPython

Bokeh

40. SQL and Python primer — Bokeh | Plotly

41. Pandas Bokeh Visualization Tutorial

42. Visualization: Bokeh Tutorial Part 1

43. Interactive Bokeh Tutorial Part 2

44. Karnataka Education — EDA -Bokeh

45. EDA with python library bokeh

46. Interactive Viz with rbokeh

47. t-SNE + Bokeh

48. Beginner Guide of Bokeh Graphs + Periodic Table

49. Exploratory Data Analysis with Bokeh

50. Visualization of trips using bokeh and Datashader

For more resources click here,

  1. 50 of the most profound Kaggle Discussions (tips, tricks, resources) by the top Kaggle Grandmasters
  2. 50 more profound Kaggle Discussions (tips, tricks, feature engineering, resources) by the top Kaggle Grandmasters
Kaggle
Data Visualization
Data Science
Python
Machine Learning
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