Submitted by ikashifkhan t3_xuz7rm in MachineLearning
sonny_plankton3141 t1_ir2bra8 wrote
Hi! dist plot shows you a probability density function of the values you’ve provided.
The highest point of the curve is the mean of 2.5. The blue box signals the standard deviation of -2.5 and 2.5.
It basically tells you the probability of getting a certain value as long as the population is normally distributed. Getting -4 has a very very low chance for example.
You better use sns.displot( … …, kind=‘kde’) tho.
Hope this helps. Happy learning
ikashifkhan OP t1_ir7hl8k wrote
You're so helpful, you made me understand the whole topic so beautifully.
Thanks a bunch!!
ikashifkhan OP t1_ir7tz5q wrote
I have one more question, I provided the values from 0 to 5 but it's providing me negative values as well, why is it so?
sonny_plankton3141 t1_iujrxl1 wrote
Sorry for replying so late. Been on vacation.
Displot assumes a Normal Distribution, which can be negative as well. If you provide more data to displot e. g. Data = [0 1 2 2 3 3 3 3 4 4 5 5] it should shift to the right.
You may also find this introduction on Normal Distribution helpful
https://www.mathsisfun.com/data/standard-normal-distribution.html
Feel free to reach out, I’m happy to help
Best regards from Germany. :)
ikashifkhan OP t1_iujtcf8 wrote
Greetings! I hope you have enjoyed your vacation to the fullest🤠. I just needed to learn and then strengthen my statistical concepts, and yes I did 😊🙂. Thanks for taking out time to guide me.
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