Learn about box plots; histograms; density plots; and weighted histograms.
- [Instructor] Let's move on to plotting distributions.…If you're just starting here,…you need to load packages and data sets.…A box plot, which we get in pandas with plot…of kind box, visualizes coverage intervals.…The box extends from the 25th to the 75th quantiles…with the line, the green line, at the median.…The whiskers are set at 150 and 66%,…respectively of the quantiles.…
Points below and above whiskers are considered flyers…so they're not typical and they may even be outliers.…That is, point that are suspicious…and may reflect measurement errors.…To compare China and the US,…we need to make a single data frame…so we can plot the boxes together.…We'll make a data frame on the fly.…And we can call the method boxplot directly.…
The scales are so different that we don't see much,…so it's better to make box plots…of the logarithm of the income.…I'll change the code directly.…Log 10 and log 10.…This shows clearly the fact of 50 between…the two distributions.…A much richer visualization…of its distribution is a histogram.…
- 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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