Data Visualization Recipes in Python Video

1. 1 - Visualization with Matplotlib and Pandas/Getting Started with Matplotlib.mp448.26MB
2. 1 - Visualization with Matplotlib and Pandas/Plotting Basics with Pandas.mp48.79MB
3. 1 - Visualization with Matplotlib and Pandas/The Course Overview.mp46.79MB
4. 1 - Visualization with Matplotlib and Pandas/Visualizing Data with Matplotlib.mp428.17MB
5. 1 - Visualization with Matplotlib and Pandas/Visualizing the Flights Dataset.mp425.06MB
6. 2 - Visualization with Seaborn and Pandas/Doing Multivariate Analysis with Seaborn Grids.mp411.87MB
7. 2 - Visualization with Seaborn and Pandas/Stacking Area Charts to Discover Emerging Trends.mp418.36MB
8. 2 - Visualization with Seaborn and Pandas/Uncovering Simpson's Paradox in the Diamonds Dataset with Seaborn.mp412.8MB
9. 2 - Visualization with Seaborn and Pandas/Understanding the Differences Between Seaborn and Pandas.mp410.83MB
10. 3 - Time Series Analysis/Counting the Number of Weekly Crimes.mp48.44MB
11. 3 - Time Series Analysis/Measuring Crime by Weekday and Year.mp416.03MB
12. 3 - Time Series Analysis/Slicing Time Series Intelligently.mp414.12MB
13. 3 - Time Series Analysis/Understanding the Difference Between Python and Pandas Date Tools.mp418.12MB
14. 3 - Time Series Analysis/Using Methods That Only Work with a DatetimeIndex.mp418.37MB
15. 4 - Grouping and Aggregating with Time Series Analysis/Aggregating Weekly Crime and Traffic Accidents Separately.mp45.8MB
16. 4 - Grouping and Aggregating with Time Series Analysis/Finding the Last Time Crime Was 20% Lower with merge_asof.mp45.15MB
17. 4 - Grouping and Aggregating with Time Series Analysis/Grouping By a Timestamp and Another Column.mp48.36MB
18. 4 - Grouping and Aggregating with Time Series Analysis/Grouping with Anonymous Functions with a DatetimeIndex.mp45.35MB