Create AMAZING Maps with Python! (GeoPandas Tutorial for Choropleth Maps)

datagy

Подписаться 5 тыс.

Просмотров 22 тыс.

50% 1

Видео Поделиться Скачать Добавить в

Наука

Опубликовано:

5 окт 2024

Ссылка:

Скачать:

Готовим ссылку...

Добавить в:

Мой плейлист

Посмотреть позже

Комментарии : 21

@srabbee 9 месяцев назад

7:18 ... The population growth rate math has a mistake. It should be (pop 21 - pop 20)) / pop 20. Currently it devides by pop 21.

@elhabibbirouk9722 10 месяцев назад

I think you should divide by population of 2020 to measure the variation. Still very instructive

@anytime9840 2 года назад

amazing job!! for a beginner like me this helped a lot. thank you!!

@datagy 2 года назад

I’m so glad it was helpful!

@LookNumber9 2 года назад

I had trouble with Geopandas in Linux, but worked beautifully on Win 10. Excellent tutorial! Thank you.

@datagy 2 года назад

Thanks so much, Mark!

@Davidkiania Год назад

This is amazing and a complete eye opener. Thank you very much ....

@bghealy1 Год назад

This was really helpful. Thank you so much!

@datagy Год назад

Thanks Benjamin!

@AmineGM73 3 месяца назад

Ver nice tutorial i have been looking for that!!!

@sudhabaskaran5954 10 месяцев назад

This is awesome, very detailed explanation. How can we bring the city lines inside the map?

@justinli7052 3 месяца назад

very helpful, thank you

@ImmeOne1 Год назад

That was really helpfull and well delivered, thanks!

@amitsrivastava3744 Год назад

Thanks so much

@datagy Год назад

Thanks Amit!

@raingo5625 Год назад

man, your channel is a gold mine. but you need to work on your thumbnails 😂 thankfully I couldnt find anyone who can explain as clear as you. i'll recommend this channel to my mates. 👌

@datagy Год назад

Thanks so much for your feedback! I definitely struggling with thumbnails! Do you have any examples that would make them better?

@raingo5625 Год назад

its probably just that I specifically searched for 'USA map using geopandas' and when I looked at thumbnails, the first one I'm seeing is the actual map. but you're thumbnail is nice and catchy to begin with. 😁