Visualization for Statistical Analysis

提供方
Coursera Project Network
在此指导项目中,您将:

I​mportance of visualization for Statistical Analysis

L​earn to create histograms, scatterplots, boxplot, violin plot, bar plot, adding regression line to scatterplot, and matrix of multiple plots

L​earn to colour code, modify, adjust axes, add legend boxes for plots

Clock2
Beginner初级
Cloud无需下载
Video分屏视频
Comment Dots英语(English)
Laptop仅限桌面

In this project you will learn about several visualization techniques and their importance for Statistical Analysis. The project demonstrates different plotting techniques, for example, histograms, scatter plots, box and whiskers plot, violin plot, bar plot, addition of regression line to scatter plot, and creating matrix of multiple plots. It also discusses the suitability of each plots according to the data type of the variables and illustrates multiple ways to achieve the desired plots efficiently. The project refers to 'Palmer Penguins' data set for the illustrative purpose.

您要培养的技能

  • R Programming
  • Data Visualization (DataViz)
  • Reporting with graphs
  • Graph/Plotting Techniques
  • Exploratory Data Analysis

分步进行学习

在与您的工作区一起在分屏中播放的视频中,您的授课教师将指导您完成每个步骤:

  1. Introduction to Visualization for Statistical Analysis

  2. Histogram

  3. Scatterplot

  4. Paired Plot

  5. Box and Whiskers Plot and Violin Plot

  6. Bar Plot

  7. Adding regression line to a plot

  8. Multiple Plots

指导项目工作原理

您的工作空间就是浏览器中的云桌面,无需下载

在分屏视频中,您的授课教师会为您提供分步指导

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