From the course: Data Visualization with Matplotlib and Seaborn
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Project introduction - Python Tutorial
From the course: Data Visualization with Matplotlib and Seaborn
Project introduction
- [Instructor] All right everybody. Welcome to the first project in this course. This project and project two are going to be closely tied together before we have a third project, after our Seaborn section, which will tackle a new set of data, but our goal for project one is to take all of the chart types that we just used and apply them to building charts for a new set of data. We're going to be working as consultants for Maven Consulting Group. We've been asked by a client to assess the state of global coffee production and consumption. Our first analysis is going to focus on coffee production, so we have a data set here that has coffee production by year for about 29 coffee producing nations and so we'll need to use a data set here to provide insights on the coffee industry. Once we've done a deep dive into coffee production, we'll take a quick look at coffee imports, so here we have a list of coffee importing nations and the amount that they imported year by year. We also have a…
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Contents
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Intro to Matplotlib6m 39s
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Plotting methods6m 56s
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Plotting DataFrames5m 35s
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Challenge: Plotting DataFrames3m 14s
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Solution: Plotting DataFrames2m 26s
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Anatomy of a Matplotlib figure4m 9s
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Chart titles and font sizes9m 46s
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Chart legends10m 21s
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Line styles2m 54s
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Axis limits5m 30s
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Figure sizes5m 13s
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Custom axis ticks4m 3s
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Vertical lines6m 43s
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Adding text4m 38s
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Pro tip: Text annotations5m 18s
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Removing borders5m 59s
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Challenge: Formatting charts2m 7s
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Solution: Formatting charts2m 55s
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Line charts3m 30s
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Stacked line charts6m 41s
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Dual axis charts8m 51s
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Challenge: Dual axis line charts1m 51s
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Solution: Dual axis line charts2m 43s
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Bar charts10m 19s
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Challenge: Bar charts1m 23s
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Solution: Bar charts2m 37s
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Stacked bar charts5m 25s
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Grouped bar charts7m 38s
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Combo charts7m 56s
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Challenge: Advanced bar charts1m 22s
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Solution: Advanced bar charts2m 56s
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Pie and donut charts10m 37s
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Challenge: Pie and donut charts1m 15s
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Solution: Pie and donut charts2m 2s
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Scatterplots and bubble charts5m 13s
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Histograms10m 10s
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Challenge: Scatterplots and histograms1m 40s
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Solution: Scatterplots and histograms2m 44s
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Key takeaways2m 23s
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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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Intro to seaborn2m 58s
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Basic formatting options5m 25s
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Bar charts and histograms12m 2s
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Challenge: Bar charts and histograms1m 48s
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Solution: Bar charts and histograms4m 5s
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Box and violin plots7m 31s
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Challenge: Box and violin plots1m 15s
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Solution: Box and violin plots4m 42s
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Linear relationship charts10m 47s
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Jointplots5m 32s
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Pairplots6m 45s
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Challenge: Linear relationship charts1m 17s
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Solution: Linear relationship charts5m 32s
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Heatmaps5m 37s
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Challenge: Heatmaps1m 27s
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Solution: Heatmaps3m 50s
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FacetGrid5m 47s
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Matplotlib integration3m 34s
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Key takeaways1m 53s
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