Love the video. One small addition though: Since rlang 0.40 you can use curly-curly {{ }} instead of enquo() and bang-bang !! to create functions using a variable name as you did in the video. That makes creating functions even simpler.
I definitely think a DevOps video would be interesting but, I also try to make videos that are easy to follow along and work through. Maybe I'll make a short overview of various ways to deploy models in R. -Andrew
That’s an interesting concept, I think you can do it but alternatively you could convert the data to a long format using gather/pivot_longer, nest it, and then map a charting function that works with the given data. -Andrew
Akash Chandra I think the best way is to watch the video first and then view the code on Github to analyze how the code works. After that, I would recommend to use the data and analyze it yourself. Finally, asking questions about the code and how to implement ideas will help you develop your skills. -Andrew
Yeah I think it’s important to view one perspective of the data (my analysis from the video) and your perspective. That way you can see what you’re interested in and what you want to develop in.
I could make a short video but tbh I never remember the notation and end up always looking it up on google. But I think a video on stringr could include REGEX.
I am hesitant to analyze COVID-19 data because I believe it requires a lot of domain knowledge, especially in epidemiology. However, I will probably end up making a video about or related to COVID-19.
If you mean sensitivity in terms of how models are affected by the inputs check out my video on interpretable black box models th-cam.com/video/eNvKnhMJd2o/w-d-xo.html . If you mean sensitivity in terms of confusion matrix and model metrics I will probably make a video about model metrics using the Yardstick package. -Andrew
Thank you for your reply Andrew . I wish to learn something about sensitivity in terms of confusion matrix and model metrics . hope you can make a video about it in future. ^_^.
Yo. Your videos are good, man. I love the different approach that you take on Tidytuesday. Keep it up, man.
Love the video. One small addition though: Since rlang 0.40 you can use curly-curly {{ }} instead of enquo() and bang-bang !! to create functions using a variable name as you did in the video. That makes creating functions even simpler.
Definitely need to get more familiar with rlang. Thanks for the tip!
@@AndrewCouch Year I know the feeling. I tell myself the exact same thing every time I see rlang being used somewhere :D
Excellent stuff....been looking for how to create a function to loop thru values in a column to create plots. Thank you!
Life saving video!
Great helpful video Andrew!! Good job explaining how to use helper functions
This video is so helpful! I was having trouble applying functions to graphs. Thank you!!!
Great video man. Very informative! Thank you.
Wow'd out loud like 5 times while watching this. Love the video!
Such a great video
Thank you so much !
That's, man! I've learned a lot in this video
Thank you Andrew for your great videos. Which key combination do you use to copy and paste the code in the script so quickly?
I use CTRL + C to copy and CTRL + V to paste the code.
Thanks Andrew
Great video
You should do a video on deploying R ML models no Azure.
I definitely think a DevOps video would be interesting but, I also try to make videos that are easy to follow along and work through. Maybe I'll make a short overview of various ways to deploy models in R.
-Andrew
@@AndrewCouch I wouldn't mind something a little more 'devopsie' as well, doing good work, regardless
Is it possible to use the function create_bar_chart with across ? Like plot a bar chart through a set of columns individually.
Thanks!
That’s an interesting concept, I think you can do it but alternatively you could convert the data to a long format using gather/pivot_longer, nest it, and then map a charting function that works with the given data.
-Andrew
@@AndrewCouch You actually did that in the video, thank you for the fast response!
Hey Andrew, what is the best way i should follow along in these examples and learn them?
Akash Chandra I think the best way is to watch the video first and then view the code on Github to analyze how the code works. After that, I would recommend to use the data and analyze it yourself. Finally, asking questions about the code and how to implement ideas will help you develop your skills.
-Andrew
@@AndrewCouch so like play around with the data while I'm following along?
Yeah I think it’s important to view one perspective of the data (my analysis from the video) and your perspective. That way you can see what you’re interested in and what you want to develop in.
Any plans to do a video on REGEX?
I could make a short video but tbh I never remember the notation and end up always looking it up on google. But I think a video on stringr could include REGEX.
hey andrew, are you going to do any covid 19 data analysis?
I am hesitant to analyze COVID-19 data because I believe it requires a lot of domain knowledge, especially in epidemiology. However, I will probably end up making a video about or related to COVID-19.
Could you make a tutorial about the sensitivity analysis ??
If you mean sensitivity in terms of how models are affected by the inputs check out my video on interpretable black box models th-cam.com/video/eNvKnhMJd2o/w-d-xo.html . If you mean sensitivity in terms of confusion matrix and model metrics I will probably make a video about model metrics using the Yardstick package.
-Andrew
Thank you for your reply Andrew . I wish to learn something about sensitivity in terms of confusion matrix and model metrics . hope you can make a video about it in future. ^_^.