跳至内容
首页R

课程

Introduction to Importing Data in R

基础技能水平
更新时间 2026年3月
In this course, you will learn to read CSV, XLS, and text files in R using tools like readxl and data.table.
免费开始课程
RData Preparation3 小时10 视频37 练习3,150 经验值200K+成就声明

创建您的免费帐户

继续操作即表示您接受我们的《使用条款》和《隐私政策》,并同意您的数据存储在美国。

深受数千家公司学习者的喜爱

Group

培训2人或更多?

试用DataCamp for Business

课程描述

Importing data into R should be the easiest step in your analysis. Unfortunately, that is almost never the case. Data can come in many formats, ranging from .csv and text files, to statistical software files, to databases and HTML data. Knowing which approach to use is key to getting started with the actual analysis. In this course, you’ll start by learning how to read .csv and text files in R. You will then cover the readr and data.table packages to easily and efficiently import flat file data. After that, you will learn how to read .xls files in R using readxl.

先决条件

Introduction to R
1

Importing data from flat files with utils

A lot of data comes in the form of flat files: simple tabular text files. Learn how to import the common formats of flat file data with base R functions.
开始章节
2

readr & data.table

3

Importing Excel data

Excel is a widely used data analysis tool. If you prefer to do your analyses in R, though, you'll need an understanding of how to import .csv data into R. This chapter will show you how to use readxl to do so.
开始章节
4

Reproducible Excel work with XLConnect

Introduction to Importing Data in R
课程完成

获得成就证明

将此证书添加到你的 LinkedIn 档案、简历或履历中
在社交媒体和绩效评估中分享
立即注册

加入超过19百万学习者,今天就开始Introduction to Importing Data in R!

创建您的免费帐户

继续操作即表示您接受我们的《使用条款》和《隐私政策》,并同意您的数据存储在美国。

通过 DataCamp for Mobile 提升您的数据技能

随时随地通过我们的移动课程和每日 5 分钟编程挑战提升技能。