You can download the R code from this video here in my free skool community: www.skool.com/data-analysis-with-r-6607/classroom/daa88316?md=6766c76a86594ff39751a3b618acf00b
Thanks for sharing the knowledge. You have not uploaded any video on Regression, so create the one. Like how to calculate Linear Regression in R & how to plot it.
Good comment. Data exploration will be the next topic I want to cover and then of course modeling. Can I ask you if you would rather have multiple short (5 min videos) on the topic or one long one (30 min) because there would be many sub-topics for Linear Regression, like, calculations, checking assumptions, interpreting the results (R², significance etc.) and visualization.
@@TheDataDigest Well I would love to watch a 30 minutes video ( every day) but that should be step by step so that the one who's watching for the first time must understand the basics. The video should not cover more than 1 topic (like box plot in 1 video, line pilot in another video etc.) in a day. Even, if you need to cover a single topic in more than 1 videos, we don't have any issue. The only thing we want is to learn R (no matter if it takes a year). I would also suggest you to create a short video on various data set formats (e.g. excel, csv, delim etc.), how to shape data sets before exporting & finally how to export these files into R. Thanks for these beautiful videos♥️♥️♥️
@@tajamulislamshah8494 Hi, I almost missed this comment. Thanks for all this feedback. It is very detailed and really helpful to me. Gives me a better understanding of my audience and what they want to see on my channel. I won't be able to publish more than a video per week for the near future but I have a long list of topics I want to cover this year.
@@TheDataDigest I think one video per week is a nice option. It will give us the ample time to practice the same. But yes, do cover the basic topics first so to comprehend R better. Thank you!
Thanks for the comment and suggestion. In the NBA example I went with red=above average and used the logo-blue for "colder" values that are below average. For the movie ratings I thought green=better, red=worse and went this way. For the US temperatures I of course used red for warmer temps ;-)
![[#2024MAMA] ROSÉ (로제), Bruno Mars - APT. | Mnet 241122 방송](http://i.ytimg.com/vi/dgGqD28J6aQ/mqdefault.jpg)
You can download the R code from this video here in my free skool community:
www.skool.com/data-analysis-with-r-6607/classroom/daa88316?md=6766c76a86594ff39751a3b618acf00b
Thanks for sharing the knowledge. You have not uploaded any video on Regression, so create the one. Like how to calculate Linear Regression in R & how to plot it.
Good comment. Data exploration will be the next topic I want to cover and then of course modeling. Can I ask you if you would rather have multiple short (5 min videos) on the topic or one long one (30 min) because there would be many sub-topics for Linear Regression, like, calculations, checking assumptions, interpreting the results (R², significance etc.) and visualization.
@@TheDataDigest Well I would love to watch a 30 minutes video ( every day) but that should be step by step so that the one who's watching for the first time must understand the basics. The video should not cover more than 1 topic (like box plot in 1 video, line pilot in another video etc.) in a day. Even, if you need to cover a single topic in more than 1 videos, we don't have any issue. The only thing we want is to learn R (no matter if it takes a year). I would also suggest you to create a short video on various data set formats (e.g. excel, csv, delim etc.), how to shape data sets before exporting & finally how to export these files into R.
Thanks for these beautiful videos♥️♥️♥️
@@tajamulislamshah8494 Hi, I almost missed this comment. Thanks for all this feedback. It is very detailed and really helpful to me. Gives me a better understanding of my audience and what they want to see on my channel. I won't be able to publish more than a video per week for the near future but I have a long list of topics I want to cover this year.
@@TheDataDigest I think one video per week is a nice option. It will give us the ample time to practice the same. But yes, do cover the basic topics first so to comprehend R better. Thank you!
Great!
Matt and Blonde brought me here 😁
Hello and welcome then :) That call gave me quite a bit of subscriber boost (+10% in one week).
Good stuff!
High temperature = red, low temperature= GREEN though? (:
Thanks for the comment and suggestion.
In the NBA example I went with red=above average and used the logo-blue for "colder" values that are below average.
For the movie ratings I thought green=better, red=worse and went this way. For the US temperatures I of course used red for warmer temps ;-)
Send me keys of this heatmap