From the course: Data Visualization with Matplotlib and Seaborn
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Challenge: GridSpec - Python Tutorial
From the course: Data Visualization with Matplotlib and Seaborn
Challenge: GridSpec
- [Instructor] All right, everybody, new email in from Sarah Shark. The subject line is Revenue Report Format. She writes us, "Hi there, big meeting with our hotel client coming up. We want to propose a report format that will help track their revenue, specifically with respect to their goal to get French customers to surpass German customers in terms of total revenue. Can you create a figure with a line chart tracking revenue by category, a bar chart with revenue for the top five countries, and a chart indicating progress towards our French revenue goal? Thanks. We'll be working out of the section04_assignments notebook once again. And if you take a look at our results preview, we can see a figure with an overall title and then our first chart is going to be a line chart spanning the width of our layout here. This is plotting lodging revenue and other revenue over time. In the bottom left we have a bar chart plotting revenue by country across our entire dataset for our top five…
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Contents
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Intro to advanced customization58s
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Subplots9m 47s
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Challenge: Subplots2m 12s
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Solution: Subplots4m 45s
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GridSpec6m 17s
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Challenge: GridSpec2m 43s
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Solution: GridSpec4m 10s
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Color options3m 3s
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Color palettes4m 50s
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Challenge: Colors1m 53s
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Solution: Colors1m 34s
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Style sheets4m 19s
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Challenge: Style sheets1m 9s
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Solution: Style Sheets1m 11s
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rcParams6m 57s
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Saving figures and images2m 46s
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Key takeaways48s
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