Hey, I'm the author of the original picture.
First we need to download road networks. OpenStreetMaps is the most accessible data source for this. They are like wikipedia for maps.
Their license is very permissive, and they ask to mention that you are using OpenStreetMaps, so that other people know about them and can contribute to the data.
Then we need to render it on the screen. Having programming skills definitely helps here. I use my own rendering library to do this in the browser. The library is open source but not documented (as I didn't think it was ready for reuse, I always postponed its documentation).
Finally, we need to take a screenshot, and share it so that the world knows about it. This is the hardest part for me. There are lot of things that compete for people's attention, and most of my creations are not getting noticed. Lots of luck in this step involved.
Most importantly you need to have fun when you do it :D. That keeps you motivated to explore things like that.
That said, I'm working on a website which should allow you to enter a city name and get the interactive image like this. Should be ready within a few weeks (if all is good).
I'll post here when it's done, but there is a huge chance that it will be lost among all beautiful creations. Feel free to monitor my twitter if you want to be notified when it's done: https://twitter.com/anvaka
Hey, it appears you've copy/pasted the link as the description of a text post rather using the link as the source of an image post, meaning it doesn't expand properly from desktops/tablets, see here: https://snipboard.io/znoBmS.jpg
When I say "direct image", I mean to do an image post rather than a text post.
For anyone interested in putting their own background (of the same size) :
Here is a photopea file if you would like to change the background. Simply click file> open & place... and select your favorite background of the same dimension (2560x1440). You might need to change the text color (or size if you want), that would be in the "Text" folder. Unfortunately, it's a mess since I didn't think anyone would use it. To save the folder : file > export as.. > JPEG then select max settings. If you need help with something let me know.
Introduction to Statistical Learning is aimed at someone like you. The code is written in R, which is a great language for statistical work.
Python will require more work to setup as statistical packages aren’t included. If you end up going Python/SQL I’d recommend using Anaconda to simplify installation and package management.
Also check out /r/DataScience