#100DaysOfCode in Python Transcripts
Chapter: Days 82-84: Data visualization with Plotly
Lecture: Other data visualization libraries

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0:01 And, a quick video on some extra pointers Plotly is cool but there are others. Matplotlib probably the best known.
0:10 You can do awesome stuff with that as well and we have a notebook here integrated on our blog as showing some more examples.
0:24 We like Bokeh, and we even had a code challenge and there were some submissions historical exchange rates for BitCoin using Bokeh, integrated in Flask.
0:36 By the way that was the challenge, to integrate it into Flask. Weather data, look at how nice that looks. Life expectancies in countries, very cool.
0:46 Versus Australia, so that's Bokeh. And actually the Bokeh side is very well, I mean look at this, this is awesome, simple text is up high.
0:57 Look at these visualizations that's amazing. Bokeh has really great documentation and user guide so definitely check it out.
1:06 Then we have Seaborn as well, and we had a guest post here looking at Marvel data which was a code challenge we did
1:13 and this uses Panda in combination with Seaborn and again this is a very nice library. Look at these visualizations, very nice.
1:26 And one other example, this was one I did. Analyzing Brexit data with pandas uses matplotlib it integrates very nicely with pandas
1:35 so it's a very powerful combination. One cool thing is scatter plots on demographics. And that hopefully gives you some extra inspiration
1:51 to start using data visualizations yourself.

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