Transforming through a weight loss bet
One method to increase motivation to lose weight is to make a bet with someone else. The scenario in this recipe will track weight loss from two individuals throughout a four-month period and determine a winner.
In this recipe, we use simulated data from two individuals to track the percentage of weight loss over four months. At the end of each month, a winner will be declared based on the individual who lost the highest percentage of body weight for that month. To track weight loss, we group our data by month and person, and then call the .transform
method to find the percentage weight loss change for each week against the start of the month.
We will use the .transform
method in this recipe. This method returns a new object that preserves the index of the original DataFrame but allows you to do calculations on groups of the data.
How to do it…
- Read in the raw
weight_loss
dataset, and examine the first...