Love the chart overall, one nitpick I have though:
Please consider putting a source (hyperlink ideally, otherwise citation-style info) at the bottom of the plot.
If people love your viz and download or share it, it becomes nigh-meaningless if the underlying data is not mentioned.
That being said, i will be sharing this around with your source stuck onto it, it's pretty and pretty useful!
I know, and I also said I would add that source to my downloaded image.
But if and when people share plots like this, they seize to hold any real value if you can't trace the data and check it's veracity from the image itself
It's a small addition to the plotting code that makes all the difference in not having the plot become an orphan.
Love the chart overall, one nitpick I have though: Please consider putting a source (hyperlink ideally, otherwise citation-style info) at the bottom of the plot.
If people love your viz and download or share it, it becomes nigh-meaningless if the underlying data is not mentioned.
That being said, i will be sharing this around with your source stuck onto it, it's pretty and pretty useful!
The source is in the post. It even says "Data from here"
I know, and I also said I would add that source to my downloaded image.
But if and when people share plots like this, they seize to hold any real value if you can't trace the data and check it's veracity from the image itself
It's a small addition to the plotting code that makes all the difference in not having the plot become an orphan.
Ohh you meant inside the actual image, i see. My bad.
That's a good idea, thanks. This was my first time using PyWaffle so probably rushed things a bit.
I'm guessing a big chunk of the diesel vehicles are for trucking/long-distance travel or for reaching remote(-ish) places
I like the format but need more distinction on the legend. Colors are too similar in their respective shades.
I wish there was, like any diesel hybrid I could possibly buy.
It wouldn't be a data post without nerds back seat plotting for you