Webinar: Tidyverse Exploratory Analysis (Emily Robinson)

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While most R programmers have heard of ggplot2 and dplyr, many are unfamiliar with the breadth of the tidyverse and the variety of problems it can solve. In this video, Emily Robinson, a data scientist at DataCamp, will give a brief introduction to the concept of the tidyverse and then walk through an exploratory analysis of the 2017 Kaggle Data Science and Machine Learning Survey. You’ll see how functions like purrr’s map_if, forcat’s fct_reorder, dplyr’s select_if, and tidyr’s separate_rows all work together to create some great plots and interesting insights!

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Hi! great video! Nonetheless, I don't know why the operator %<>% is not working for me :( It says that the function could not be found. Thanks!

kike

I have been using Tidyverse for years and I learned so much from your video! Thank you so much for your great work!

felixzhao

Best overview of the Tidyverse set of libraries and methodology that I've come across. I appreciate you using an Rmd file to illustrate/document what you were doing. I appreciate you following the R coding standard. Makes R much more readable, especially if you are new to R. As a result of this webinar, I've become a subscriber to the DataCamp channel. One good webinar is worth 1, 000 skipped Adds.

OtRatsaphong

greatest summary of tidyverse i have ever come a cross, is there more videos in the same track?

espoirmwungura

Thanks Emi, this is super helpful; I have enjoyed it so much!

MosesAronchicco

this is a great introduction on all the (great) things you can do on tidyverse. great job!

deanwang

I always learn something - things I used to know and had forgotten. This was really helpful. Any chance you will share the dataset?

cliffweaver

Thanks for the webinar, it gives interesting insights about some very useful packages and functions, I have a question though, I did not quite understand what the "%>%" is used for or how it could be used, I looked for it on the internet and it apparently "takes the output of the command and makes it the input for the next one". Is that correct? or does it simply make the link between successively used functions?
Also I have been having issues installing (and even finding the broom/ tidyverse package / collection), it says not available for R version 3.4.2, I checked and there's no update to do. Thanks

mediounisarah

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