From the course: Python Data Analysis
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Plotting
- [Instructor] We have seen how to load and create data frames, and how to select records or ranges of records, but we have not done much with the values in the tables. In many data analysis tasks, you're interested in running computations with the columns and then making plots. Let's try that with Pandas. We'll load the data set consisting of global population health and wealth statistics, from the amazing Gapminder website. Gapminder is a Swedish foundation created by the late Hans Rosling to promote a fact-based worldview and to fight misconceptions about global development. If you want to make plots in the Gapminder style internalize their data in some depth, you can try my LinkedIn learning course, Python Statistics Essential Training. In this video we'll do simpler things but still learn a lot. So we load the comma-separated file. And we see that the data set includes a number of global statistics. Each row…
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