Learn about plotting more than two variables; sorting rows; matplotlib colormaps; Jupyter interactivity; DataFrame groupby; and matrix scatter plots.
- [Instructor] In this video, we will look at ways to encode…more than two variables into plots.…We start by creating an interactive plot…showing data for all countries together…similar to the plots found on the gapminder.org website.…And to the child mortality versus babies per woman plot,…that we made in the first video of this chapter.…And we'll pick up where we left things in the last video.…Plotting income per person per day versus life expectancy.…So we import our modules and load our data set.…
We'll make a function and keep changing it to add features.…The simplest version of our plotting…function selects data for a year.…And then creates a scatterplot.…Let me try it out immediately.…
I get a sense of the correlation between…the two variables, but I don't really…know which country is which.…I can use the size of points as…an additional dimension to encode population.…So I will create an array area.…And pass it to scatter.…It's so blue.…So what happens here is that the number in data populations…are so big, that they give us very large dots.…
- Installing and setting up Python
- Importing and cleaning data
- Visualizing data
- Describing distributions and categorical variables
- Using basic statistical inference and modeling techniques
- Bayesian inference
Skill Level Intermediate
R Statistics Essential Trainingwith Barton Poulson5h 59m Intermediate
SPSS Statistics Essential Trainingwith Barton Poulson4h 57m Beginner
1. Installation and Setup
2. Importing and Cleaning Data
3. Visualizing and Describing Data
4. Introduction to Statistical Inference
5. Introduction to Statistical Modeling
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