Learn about querying data; scatter plots; logarithmic plots; and plot marker color and size.
- [Instructor] Plotting two variables together…lets us hypothesize and inspect…possible relations between them.…Do they rise and fall together,…is it possible that the change in one,…is causing the change in the other?…Formally, we say that we would like to explain the variation…in a response variable as a function of the variation…in an explanatory variable.…We'll go back to the Gapminder global dataset,…and first load packages.…
A simple thing to do,…is to plot a variable using the date…as the explanatory variable.…This is known as a time series.…For instance I'll look at a population…of my country of origin, Italy.…I will first down select the data.…In Pandas we plot two variables together,…with plot.scatter.…
And we just give it the two variables.…We see that in this dataset,…points become denser after 1950.…The slope of the plot doesn't change very much,…something like this would be very different for China,…or for India.…Let's try.…
Going back to Italy, let's look at income per person per day…in 2011 equivalent dollars,…
- 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
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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