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Opiniones y comentarios de aprendices correspondientes a Wrangling Data in the Tidyverse por parte de Universidad Johns Hopkins

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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....

Principales reseñas

AN

18 de abr. de 2022

Great course to get yourself acquanted with data wrangling in Tidyverse.

LV

24 de abr. de 2021

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

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1 - 8 de 8 revisiones para Wrangling Data in the Tidyverse

por Glenn

15 de dic. de 2020

por Mercedes S

30 de dic. de 2020

por Alexander N

19 de abr. de 2022

por Long T V

24 de abr. de 2021

por Stefan M

2 de oct. de 2021

por Moses O

9 de dic. de 2020

por Adaman Y

25 de sep. de 2021

por Konstantinos L

19 de jul. de 2022