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Data Visualization Recipes in Python [Video]

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视频 2019-8-14 06:25 2024-12-19 10:13 122 270.66 MB 18
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文件列表
  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
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