Analyzing FitBit Data

Analyzing Data from FitBit

Fitbit is a company in San Francisco, California, known for its products that have the same name, which are fitness/activity trackers and now smart watches. The devices are wireless-enabled wearable technology that measure data on the number of steps you walked, your heart rate, your quality of sleep, steps climbed, and other personal metrics involved in fitness like your calorie in take, weight, and calories burned.

Like all fitness activity trackers this device isn’t perfectly accurate, but it can give you a good idea of how active you are. I am going to take some of the data that is being collected from my FitBit tracker and try to find some fun and interesting insights about myself and my “active” life. FitBit now use MET calculations that match recommendations from various associations like the Center for Disease Control and the US Department of Health to determine how active a person is. First I will need to define the problem / or question, then I am going to collect the raw data from Fitbit.com. After that I will need to process the data to transform the information (only to put multiple dates and information together). Then I will explore the data visually with graphs and then perform some analysis, and communicate the results once I am done.

• Step 1: Frame the problem. The first thing you have to do before you solve a…