Python 数据可视化从入门到实战课

📁 2.数据可视化流程
    2.4【资源精选‖更多关注：CunworkNotes】.mp4  [30.3 MB]
    2.3【优质资源‖关注：cunWorkNotes 解锁】.mp4  [63.1 MB]
    2.1.mp4  [52.6 MB]
    2.2.mp4  [33.4 MB]
📁 3.Matplotlib简介和基本操作
    3.1【公重号：CunWorkNotes】.mp4  [67.3 MB]
    3.3【整理不易‖记得关注：CunWorKNotes】.mp4  [46.3 MB]
    3.2.mp4  [36.3 MB]
📁 8.如何让分布更直观(基于Seaborn)
    8.3【优质资源‖关注：cunWorkNotes 解锁】.mp4  [22.7 MB]
    8.1【不易整理‖请关注：CunWorkNoteS】.mp4  [46.6 MB]
    8.2.mp4  [60.7 MB]
📁 1.数据可视化理论
    1.1【不易整理‖请关注：CunWorkNoteS】.mp4  [28.7 MB]
    1.2.mp4  [48.1 MB]
    1.3.mp4  [33.4 MB]
    1.4.mp4  [19.5 MB]
📁 6.Seaborn简介和基本操作
    6.1.mp4  [35.9 MB]
    6.2.mp4  [45.8 MB]
📁 9.如何选择合适的可视化方案(基于
    9.3.mp4  [11.4 MB]
    9.2.mp4  [31.4 MB]
    9.4.mp4  [17.5 MB]
    9.1.mp4  [20.6 MB]
📁 11.什么是交互式可视化
    11.2.mp4  [23.0 MB]
    11.1.mp4  [26.6 MB]
    11.3.mp4  [52.1 MB]
📁 7.探索变量间的关系(基于Sesborn)
    7.1.mp4  [83.8 MB]
    7.3【整理不易‖记得关注：CunWorKNotes】.mp4  [52.6 MB]
    7.2.mp4  [17.0 MB]
📁 10.真实数据上的可视化分析
    10.1.mp4  [33.4 MB]
📁 5.可视化案例练习题目(基于Matplotlib)
    5.3.mp4  [24.1 MB]
    5.2.mp4  [15.7 MB]
    5.4.mp4  [21.9 MB]
    5.1.mp4  [15.7 MB]
📁 12.美国农药使用情况分析
    12.1.mp4  [63.5 MB]
📁 4.真实数据上的可视化分析(基于
    4.4.mp4  [57.0 MB]
    4.2.mp4  [74.6 MB]
    4.3.mp4  [48.0 MB]
    4.5.mp4  [50.8 MB]
    4.1.mp4  [31.7 MB]