Mastering Data Visualization with Python

所在平台: Udemy

课程主页: https://www.udemy.com/course/mastering-data-visualization-with-python/

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课程简介

课程名称:掌握Python的数据可视化 课程概述:本课程旨在帮助学员从数据中提取有意义的知识。课程涵盖了R中三种数据可视化系统:A. Pandas B. Matplotlib C. Seaborn。 A. 使用Pandas包的图表类型: - 时间序列:折线图 - 单个离散变量:条形图、饼图 - 单个连续变量:直方图、密度图或KDE图、箱线图 - 两个连续变量:散点图 - 一个连续变量和一个离散变量:箱线图 B. 使用Matplotlib库的图表类型: - 时间序列:折线图 - 单个离散变量:条形图、饼图 - 单个连续变量:直方图、密度图或KDE图、箱线图 - 两个连续变量:散点图 此外,我们还将涵盖子图功能,以在单个图形中绘制多个坐标轴。 C. 使用Seaborn库的图表类型: 我们将涵盖三大类图: - relplot(关系图):散点图和线图 - displot(分布图):直方图、KDE图、ECDF图和毛毯图 - catplot(分类图):条纹图、蜂群图、箱线图、小提琴图、点图和条形图 此外,课程还将讨论三种特殊图形:联合图、成对图和线性模型图。最后,我们将探讨如何通过创建基于样式、背景、颜色调色板和字体的主题来定制图形。

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This course will help you draw meaningful knowledge from the data you have.Three systems of data visualization in R are covered in this course:A. Pandas B. Matplotlib C. Seaborn A. Types of graphs covered in the course using the pandas package:Time-series: Line PlotSingle Discrete Variable: Bar Plot, Pie PlotSingle Continuous Variable: Histogram, Density or KDE Plot, Box-Whisker Plot Two Continuous Variable: Scatter PlotTwo Variable: One Continuous, One Discrete: Box-Whisker PlotB. Types of graphs using Matplotlib library:Time-series: Line PlotSingle Discrete Variable: Bar Plot, Pie PlotSingle Continuous Variable: Histogram, Density or KDE Plot, Box-Whisker Plot Two Continuous Variable: Scatter PlotIn addition, we will cover subplots as well, where multiple axes can be plotted on a single figure.C. Types of graphs using Seaborn library:In this we will cover three broad categories of plots:relplot (Relational Plots): Scatter Plot and Line Plotdisplot (Distribution Plots): Histogram, KDE, ECDF and Rug Plotscatplot (Categorical Plots): Strip Plot, Swarm Plot, Box Plot, Violin Plot, Point Plot and Bar plotIn addition to these three categories, we will cover these three special kinds of plots: Joint Plot, Pair Plot and Linear Model PlotIn the end, we will discuss the customization of plots by creating themes based on the style, context, colour palette and font.

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