#100DaysOfCode in Python Transcripts
Chapter: Days 82-84: Data visualization with Plotly
Lecture: Other data visualization libraries
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And, a quick video on some extra pointers
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Plotly is cool but there are others.
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Matplotlib probably the best known.
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You can do awesome stuff with that as well
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and we have a notebook here integrated on our blog
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as showing some more examples.
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We like Bokeh, and we even had a code challenge
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and there were some submissions
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historical exchange rates for BitCoin
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using Bokeh, integrated in Flask.
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By the way that was the challenge,
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to integrate it into Flask.
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Weather data, look at how nice that looks.
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Life expectancies in countries, very cool.
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Versus Australia, so that's Bokeh.
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And actually the Bokeh side is very well,
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I mean look at this, this is awesome, simple
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text is up high.
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Look at these visualizations that's amazing.
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Bokeh has really great documentation
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and user guide so definitely check it out.
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Then we have Seaborn as well, and we had
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a guest post here looking at Marvel data
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which was a code challenge we did
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and this uses Panda in combination with Seaborn
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and again this is a very nice library.
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Look at these visualizations, very nice.
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And one other example, this was one I did.
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Analyzing Brexit data with pandas uses matplotlib
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it integrates very nicely with pandas
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so it's a very powerful combination.
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One cool thing is scatter plots on demographics.
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And that hopefully gives you some extra inspiration
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to start using data visualizations yourself.
