Visualization for Statistical Analysis

提供方
Coursera Project Network
在此指導項目中,您將:

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初級
Cloud無需下載
Video分屏視頻
Comment Dots英語(English)
Laptop僅限桌面

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.

您要培養的技能

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

分步進行學習

在與您的工作區一起在分屏中播放的視頻中,您的授課教師將指導您完成每個步驟:

  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

指導項目工作原理

您的工作空間就是瀏覽器中的雲桌面,無需下載

在分屏視頻中,您的授課教師會為您提供分步指導

常見問題

常見問題

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