课程: Data Visualization in R with ggplot2
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Visualizing data with maps
- [Lecturer] Maps provide a powerful way to visualize data. They allow us to quickly place data in the context of geographic area. For example, take a look at this dataset from the Centers for Disease Control. It shows the spread of the flu across the United States during the 2024, 2025 flu season. We have an entry in this file for each state for each week, showing the level of flu activity in each state. All of the data is here, but just glancing at this file, it's very difficult to get a sense of how bad the flu outbreak was during this flu season. While tables and spreadsheets are not a great way to view geographic data, Maps provide a wonderful alternative. I'm going to show you that same dataset using a visualization known as a choropleth map. That's just a fancy name for a map where different regions are color-coded to show a dataset. It's a great visualization for comparing the differences between regions and also for visualizing the spread of an event such as a flu outbreak…
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内容
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Visualizing data with maps2 分钟 14 秒
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Obtaining a Google Maps API key5 分钟 19 秒
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Working with map data2 分钟 32 秒
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Geocoding points3 分钟 26 秒
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Changing map types1 分钟 19 秒
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Plotting points on a map5 分钟 6 秒
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Building a map manually4 分钟 21 秒
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Creating a choropleth map6 分钟 53 秒
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