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r4ds.hadley.nz | ||
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jaketae.github.io
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| | | | | In this post, we will continue our journey down the R road to take a deeper dive into data frames. R is great for data analysis and wranging when it comes to dealing with tabular data, especially thanks to the dplyr package, which is R's equivalent of Python's pandas. | |
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juliasilge.com
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| | | | | A data science blog | |
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www.sharpsightlabs.com
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| | | | | This tutorial is part 4 of our covid-19 data analysis using R. For more data science tutorials, sign up for our email list. | |
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rgoswami.me
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| | | Chapter II - Statistical Learning All the questions are as per the ISL seventh printing of the First edition1. Question 2.8 - Pages 54-55 This exercise relates to the College data set, which can be found in the file College.csv. It contains a number of variables for \(777\) different universities and colleges in the US. The variables are Private : Public/private indicator Apps : Number of applications received Accept : Number of applicants accepted Enroll : Number of new students enrolled Top10perc : New students from top 10 % of high school class Top25perc : New students from top 25 % of high school class F. | ||
