Course: Advanced Data Visualization: Techniques, Interaction, and Data Patterns Instructor: Data Visualization Developer Robert Kosara
Goals
Building on top of Data Visualization Fundamentals and Best Practices course ([ Ссылка ]), this course will move on to more advanced visualization techniques and provide more background about why, how, and when to use them. It will also cover a bit more theory, especially the grammar of graphics, and talk about the differences between Plot and D3. Data issues will also be discussed, like how to deal with missing data, how to show uncertainty in the data, as well as unexpected effects when dealing with subsets of data like Simpson's Paradox.
Lesson 5: Time
Temporal data
Seasonality, aggregation
Smoothing
Connected scatterplot
Learn more about the Advanced Data Visualization: Techniques, Interaction, and Data Patterns course here: [ Ссылка ]
