16DOWNLOADING DATA
In this chapter you’ll download data sets from online sources and create working visualizations of that data. An incredible variety of data can be found online, much of which hasn’t been examined thoroughly. The ability to analyze this data allows you to discover patterns and connections that no one else has found.
We’ll access and visualize data stored in two common data formats, CSV and JSON. We’ll use Python’s csv module to process weather data stored in the CSV (comma-separated values) format and analyze high and low temperatures over time in two different locations. We’ll then use matplotlib to generate a chart based on ...
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