课程

Tidyverse 入门

基础技能水平

更新时间 2025年12月

用 tidyverse 开始探索并可视化自己的数据，这是一套强大且流行的 R 数据科学工具集。

免费开始课程

RProgramming

4小时

16 视频

50 道练习

4,150 XP

380K+

成就证明

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课程描述

本课程将带您入门 R 编程语言，重点介绍一组强大的工具——Tidyverse。您将使用 dplyr 和 ggplot2 学习数据清洗与可视化这两大紧密相连的流程。您会通过筛选、排序和汇总历史国家数据这个真实数据集来回答探索性问题，从而掌握数据处理方法。随后，您将学习使用 ggplot2 将处理后的数据可视化为信息丰富的折线图、柱状图、直方图等。您将初步体会探索性数据分析的价值，以及 Tidyverse 工具的强大能力。本课程适合没有 R 经验、希望开展数据分析的学习者。视频包含实时字幕，您可以点击视频左下角的 "Show transcript" 展开查看。课程术语表位于右侧的资源区域。若要获得 CPE 学分，您需要完成本课程并在合格测验中达到 70% 的得分。您可以点击右侧的 CPE 学分提示，进入测验页面。

先决条件

本课程无先修要求

1

Data wrangling

In this chapter, you'll learn to do three things with a table: filter for particular observations, arrange the observations in a desired order, and mutate to add or change a column. You'll see how each of these steps allows you to answer questions about your data.

The gapminder dataset

Loading the gapminder and dplyr packages

Understanding a data frame

The filter verb

Filtering for one year

Filtering for one country and one year

The arrange verb

Arranging observations by life expectancy

Filtering and arranging

The mutate verb

Using mutate to change or create a column

Combining filter, mutate, and arrange

2

Data visualization

Often a better way to understand and present data as a graph. In this chapter, you'll learn the essential skills of data visualization using the ggplot2 package, and you'll see how the dplyr and ggplot2 packages work closely together to create informative graphs.

Visualizing with ggplot2

Variable assignment

Comparing population and GDP per capita

Comparing population and life expectancy

Putting the x-axis on a log scale

Putting the x- and y- axes on a log scale

Additional aesthetics

Adding color to a scatter plot

Adding size and color to a plot

Creating a subgraph for each continent

Faceting by year

3

Grouping and summarizing

So far you've been answering questions about individual country-year pairs, but you may be interested in aggregations of the data, such as the average life expectancy of all countries within each year. Here you'll learn to use the group by and summarize verbs, which collapse large datasets into manageable summaries.

The summarize verb

Summarizing the median life expectancy

Summarizing the median life expectancy in 1957

Summarizing multiple variables in 1957

The group_by verb

Summarizing by year

Summarizing by continent

Summarizing by continent and year

Visualizing summarized data

Visualizing median life expectancy over time

Visualizing median GDP per capita per continent over time

Comparing median life expectancy and median GDP per continent in 2007

4

Types of visualizations

In this chapter, you'll learn how to create line plots, bar plots, histograms, and boxplots. You'll see how each plot requires different methods of data manipulation and preparation, and you’ll understand how each of these plot types plays a different role in data analysis.

Visualizing median GDP per capita over time

Visualizing median GDP per capita by continent over time

Visualizing median GDP per capita by continent

Visualizing GDP per capita by country in Oceania

Visualizing population

Visualizing population with x-axis on a log scale

Comparing GDP per capita across continents

Adding a title to your graph

Tidyverse 入门

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