explore: simplified exploratory data analysis (EDA) in R
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- Опубликовано: 21 авг 2024
- GET THE CODE SHOWN IN THE VIDEO:
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Wow I love these amazing videos. Please more videos like that 🤯🤯🤯
Haha! I think I struck a chord with you. Glad you enjoyed it. I have another one coming in 1 week. =)
@@BusinessScience haha I love these videos 😅😅😅. You make R language as easy as ABC. I couldn't find anyone on RUclips to create such easy and cool content. Keep it up 👏👏👏
@@findthetruth3021 Awe! Thanks a lot for the support. I'm glad you are growing. R is fantastic and will help you 10X your career.
Thanks for sharing!
Thank you so much!!!!!!!!!!!!!!very helpful!!!!
You’re very welcome 😊
A cool trick, very helpful
This is awesome, thanks for sharing!
You got it!
Thanks
You got it!! 😄
Very nice.
Thank you!!
I don't understand how you were able to determine that city and fuel economy were highly correlated from looking at the decision tree?
Hello:) I was just curious was the percentages were in the boxes in the decision tree starting with 100% on top?
The Decision Tree starts with 100% of the observations (all cars). Then the cars are devided into two groups. In the first example the group on the right are all cars with cty>=16 (these are 59% of all cars). The group on the left are all cars with cty < 16 (41% of all carts). Hope that helps.
Where can I get the code?