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Wrangling Data in the Tidyverse(으)로 돌아가기

존스홉킨스대학교의 Wrangling Data in the Tidyverse 학습자 리뷰 및 피드백

4.8
별점
18개의 평가
6개의 리뷰

강좌 소개

Data never arrive in the condition that you need them in order to do effective data analysis. Data need to be re-shaped, re-arranged, and re-formatted, so that they can be visualized or be inputted into a machine learning algorithm. This course addresses the problem of wrangling your data so that you can bring them under control and analyze them effectively. The key goal in data wrangling is transforming non-tidy data into tidy data. This course covers many of the critical details about handling tidy and non-tidy data in R such as converting from wide to long formats, manipulating tables with the dplyr package, understanding different R data types, processing text data with regular expressions, and conducting basic exploratory data analyses. Investing the time to learn these data wrangling techniques will make your analyses more efficient, more reproducible, and more understandable to your data science team. In this specialization we assume familiarity with the R programming language. If you are not yet familiar with R, we suggest you first complete R Programming before returning to complete this course....

최상위 리뷰

필터링 기준:

Wrangling Data in the Tidyverse의 6개 리뷰 중 1~6

교육 기관: Glenn

2020년 12월 15일

Course provides a good albeit very cursory overview of data wrangling tools in the tidyverse. However, the bulk of my time was wasted on a quiz question which was unclear/had wrong wording. As the figure is supposed to be keyed in (not multiple-choice), it was frustrating trying to guess what the question actually wanted.

교육 기관: m s

2020년 12월 30일

Loved it! I really liked that it was all reading and based in real examples! Thank you!

교육 기관: Long T V

2021년 4월 24일

Excellent course! I've learned so many useful R techniques/codes!

교육 기관: Stefan M

2021년 10월 2일

Great course with clearly understandable lectures.

교육 기관: Moses O

2020년 12월 9일

Magnificent

교육 기관: Adaman Y

2021년 9월 25일

great