Data Visualization Recipes in Python [Video]

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Data Visualization Recipes in Python [Video]

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种子哈希：6069129355a70f3e03e15f0c6cfb15f4f4b7f48c
文件大小：309.88M
已经下载：893次
下载速度：极快
收录时间：2018-07-31
最近下载：2025-09-16

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文件列表

  • 1 - Visualization with Matplotlib and Pandas/Getting Started with Matplotlib.mp4 50.6 MB
  • V11306_Code.zip 41.1 MB
  • 1 - Visualization with Matplotlib and Pandas/Plotting Basics with Pandas.mp4 9.2 MB
  • 1 - Visualization with Matplotlib and Pandas/The Course Overview.mp4 7.1 MB
  • 1 - Visualization with Matplotlib and Pandas/Visualizing Data with Matplotlib.mp4 29.5 MB
  • 1 - Visualization with Matplotlib and Pandas/Visualizing the Flights Dataset.mp4 26.3 MB
  • 2 - Visualization with Seaborn and Pandas/Doing Multivariate Analysis with Seaborn Grids.mp4 12.4 MB
  • 2 - Visualization with Seaborn and Pandas/Stacking Area Charts to Discover Emerging Trends.mp4 19.3 MB
  • 2 - Visualization with Seaborn and Pandas/Uncovering Simpson's Paradox in the Diamonds Dataset with Seaborn.mp4 13.4 MB
  • 2 - Visualization with Seaborn and Pandas/Understanding the Differences Between Seaborn and Pandas.mp4 11.4 MB
  • 3 - Time Series Analysis/Counting the Number of Weekly Crimes.mp4 8.8 MB
  • 3 - Time Series Analysis/Measuring Crime by Weekday and Year.mp4 16.8 MB
  • 3 - Time Series Analysis/Slicing Time Series Intelligently.mp4 14.8 MB
  • 3 - Time Series Analysis/Understanding the Difference Between Python and Pandas Date Tools.mp4 19.0 MB
  • 3 - Time Series Analysis/Using Methods That Only Work with a DatetimeIndex.mp4 19.3 MB
  • 4 - Grouping and Aggregating with Time Series Analysis/Aggregating Weekly Crime and Traffic Accidents Separately.mp4 6.1 MB
  • 4 - Grouping and Aggregating with Time Series Analysis/Finding the Last Time Crime Was 20% Lower with merge_asof.mp4 5.4 MB
  • 4 - Grouping and Aggregating with Time Series Analysis/Grouping By a Timestamp and Another Column.mp4 8.8 MB
  • 4 - Grouping and Aggregating with Time Series Analysis/Grouping with Anonymous Functions with a DatetimeIndex.mp4 5.6 MB

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