The tips dataset illustrates the “tidy” approach to organizing a dataset. The tips csv file is also available at the Rdatasets website which is a large collection of datasets originally distributed alongside the statistical software environment R and some of its add-on packages for teaching and statistical software development purposes maintained by Vincent Arel-Bundock.Īccording to the introduction to seaborn many of it’s examples use the boring Tips dataset which is considered a “very boring but quite useful for demonstration”. It is one of the example datasets built into the seaborn package and is used in the documentation of the seaborn package and can be easily loaded using the seaborn load_dataset command.
The Tips dataset is available in the seaborn-data repository belonging to Michael Waskom - the creator of the seaborn python data visualisation package. The goal for part 1 is to begin the exploratory data analysis by providing a summary of the main characteristics of the Tips dataset using statistics and plots and to see what the data tells us.Īs mentioned above, exploratory data analysis was promoted by John Tukey who promoted the use of five number summary of numerical data including the maximum and minimum values, the median and the quartiles which I will look at in this section. Part 1: Describe the tips dataset using descriptive Statistics and plots
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