• Reading Content
  1. Data Analysis > 
  2. Data Visualization with Python > 
  3. Reading

Reading

Reading Content

  • Best Practices for Data Visualization
  • Choosing a Chart Style
  • Matplotlib and Seaborn
Mar 11, 2024
LaunchCode
  • Home
    • 1. About LaunchCode Courses
      • 2. Our Approach to Learning Data Analysis
        • 3. Introduction to Data
          • 4. Introduction to Excel and Spreadsheets
            • 7. SQL Part 1: Introduction and Azure Data Studio
              • 8. SQL Part 2: String and Date Functions
                • 9. SQL Part 3: Joins
                  • 10. SQL Part 4: Subqueries, CTEs, UNION, INTERSECT, EXCEPT
                    • 11. SQL Part 5: Schemas and CRUD Operations
                      • 12. How Programs Work
                        • 13. How to Write and Run Code
                          • 14. Data and Variables
                            • 15. Making Decisions with Conditionals
                              • 16. Loops
                                • 17. Collections
                                  • 18. Functions are at Your Beck and Call
                                    • 19. Exploratory Data Analysis with pandas
                                      • 20. Cleaning Data with Pandas
                                        • 21. Data Manipulation
                                          • 22. Data Visualization with Python
                                            • Reading
                                              • Best Practices for Data Visualization
                                              • Choosing a Chart Style
                                              • Matplotlib and Seaborn
                                            • Exercises: Data Visualization with Python
                                            • Studio: Data Visualization with Python
                                            • Next Steps
                                          • 23. Databases with Python and pandas
                                            • 24. Tableau Part 1: Intro to Visualization
                                              • 25. Tableau Part 2: Data Preparation
                                                • 26. Tableau Part 3: Calculations, Parameters and Relationships
                                                  • 27. Tableau Part 4: Stories and Dates
                                                    • GA: Graded Assignments
                                                      • INSTL. Installations
                                                        • Appx. Appendices
                                                            •