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Reporting with R Markdown

中级技能水平
更新时间 2022年3月
R Markdown is an easy-to-use formatting language for authoring dynamic reports from R code.
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RReporting4 小时14 视频49 练习4,150 经验值45,240成就声明

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课程描述

R Markdown is an easy to use formatting language you can use to reveal insights from data and author your findings as a PDF, HTML file, or Shiny app. In this course, you'll learn how to create and modify each element of a Markdown file, including the code, text, and metadata. You'll analyze data with dplyr, create visualizations with ggplot2, and author your analyses and plots as reports. You’ll gain hands-on experience of building reports as you work with real-world data from the International Finance Corporation (IFC)—learning how to efficiently organize reports using code chunk options, create lists and tables, and include a table of contents. By the end of the course, you'll have the skills you need to add your brand’s fonts and colors using parameters and Cascading Style Sheets (CSS), to make your reports stand out.

先决条件

Introduction to the Tidyverse
1

Getting Started with R Markdown

In this chapter, you'll learn about the three components of a Markdown file: the code, the text, and the metadata. You'll also learn to add and modify each of these elements to your own reports, as you create your first Markdown files.
开始章节
2

Adding Analyses and Visualizations

3

Improving the Report

Now that you've learned how to add, label, and modify code chunks, you'll learn about code chunk options. You can use these to determine whether the code and results appear in the knit report. You'll also discover how to create lists and tables to include in your report.
开始章节
4

Customizing the Report

Reporting with R Markdown
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