Course
Intermediate Importing Data in R
СреднийУровень мастерства
Обновлено 09.2024Начать Курс Бесплатно
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RData Preparation3 ч10 videos48 Exercises3,950 XP82,620Свидетельство о достижениях
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Предварительные требования
Introduction to Importing Data in R1
Importing data from databases (Part 1)
Many companies store their information in relational databases. The R community has also developed R packages to get data from these architectures. You'll learn how to connect to a database and how to retrieve data from it.
2
Importing data from databases (Part 2)
Importing an entire table from a database while you might only need a tiny bit of information seems like a lot of unncessary work. In this chapter, you'll learn about SQL queries, which will help you make things more efficient by performing some computations on the database side.
3
Importing data from the web (Part 1)
More and more of the information that data scientists are using resides on the web. Importing this data into R requires an understanding of the protocols used on the web. In this chapter, you'll get a crash course in HTTP and learn to perform your own HTTP requests from inside R.
4
Importing data from the web (Part 2)
Importing data from the web is one thing; actually being able to extract useful information is another. Learn more about the JSON format to get one step closer to web domination.
5
Importing data from statistical software packages
Next to R, there are also other commonly used statistical software packages: SAS, STATA and SPSS. Each of them has their own file format. Learn how to use the haven and foreign packages to get them into R with remarkable ease!
Intermediate Importing Data in R
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