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Review of the course “R for Data Science”

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By Haoran Nie @ HUST Life ST

Reference: R for Data Science

The book updated to 2nd ed. on July,2023, here’ s a link to the official website.

You can find Chinese-translated README file here.

Note: The purpose of this material not only to deal with the "R for Data Science" course final exam, or in the subsequent learning process need to use the R language to deal with data and draw images of one of the effective reference materials, so generate a lot of versions of many formats of the file, to facilitate the user to different conditions on different devices to view more easily. Therefore, many versions and formats of files have been generated to make it easier for users to view them under different conditions and on different devices. If you think this project is helpful to your R language learning and usage, welcome to click on "Star" and follow me, also welcome anyone to submit bug reports through "issue" and participate in cooperation through "Pull Request".

We would like to express our sincere gratitude to the users who participated in the co-construction or provided constructive suggestions (in the order of the time they made the suggestions or participated in the co-construction):

You can also contact me via QQ or email(lucas04@126.com).

This work is licensed under CC BY-NC-SA 4.0


Acknowledgement

Last but not least, I’d like to express my sincere gratitude to the users who support me via the QR code (Listed in order of payment, last updated 2023-12-13 22:10 GMT+8):

Real names are shown with the first character only, in order to protect the privacy of the other person.

  • @柚子柚 (阿****)
  • @勉 (李**)
  • @路先森不酸(熊**)
  • @余光中(王**)
  • @石墨坩郭(郭**)

In addition, I would like to thank all the classmates and friends who have supported me behind the board, thank you for giving me the motivation to continue to maintain this project!


If you like my work, you can buy me a coffee if you like~

Payments greater than ¥10.00 will be listed in the Acknowledgement section of the README as an expression of gratitude.

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