Thanks a lot for this wonderful tutorial :) Could we use separate_wider_delim(cols = "coords", delim = ",", names =c("lat", "long")) instead of using the stringr::str_split_fixed function. So we can modify the dataframe in place without using a supplementary mutate function. Furthermore the stringr package loading is unnecessary because it is included in the tidyverse package.
Hi alcor, I'm glad you liked the tutorial. Thank you for sharing your alternative method for separating columns in a dataframe. I agree that using `separate_wider_delim` from the `tidyrverse` package is a more concise and efficient way to do it. I appreciate your feedback and suggestion. Have a great day! :)
Sure, here is the link to the table: public.opendatasoft.com/explore/dataset/geonames-all-cities-with-a-population-1000/table/?disjunctive.cou_name_en&sort=name
I hardly ever comment youtube videos but your work and the way you share it are remarkable. Cheers man!
Wow, thanks you for your positive feedback! I'm thrilled that my tutorial inspired you. Cheers!
Dropping a comment to push the algorithm, great video.
Thank you for your generous support, Riccardo! I really hope that my channel will be helpful to you
I'm really grateful for these tutorials 🎁 thankyou so much sir
Happy to help you!
Amazing tutorial! Please keep it up! Greetings from Costa Rica!
Thank you! This helps me to keep moving forward ⏩
Awesome tutorial Milos, keep it up!
Thanks man! Really appreciate the support coming from such a brilliant UA-camr like you
Great tutorial. I look forward to what might come next.
Thank you for your support! I'm happy that you found it useful
Great tutorial. Thank you
My pleasure! I hope my tutorial will help you in your work
Thanks a lot for this wonderful tutorial :)
Could we use
separate_wider_delim(cols = "coords", delim = ",", names =c("lat", "long"))
instead of using the stringr::str_split_fixed function.
So we can modify the dataframe in place without using a supplementary mutate function.
Furthermore the stringr package loading is unnecessary because it is included in the tidyverse package.
Hi alcor, I'm glad you liked the tutorial. Thank you for sharing your alternative method for separating columns in a dataframe. I agree that using `separate_wider_delim` from the `tidyrverse` package is a more concise and efficient way to do it. I appreciate your feedback and suggestion. Have a great day! :)
Sir, can I get a link of data source
Sure, here is the link to the table: public.opendatasoft.com/explore/dataset/geonames-all-cities-with-a-population-1000/table/?disjunctive.cou_name_en&sort=name
thank you sir@@milos-makes-maps