My Fitbit finally gave up after almost 5 years. After reading the series Analyzing Time Series Data, I really want to apply some of these techniques to my daily steps data.
With 1761 data points in my daily steps data, it can be difficult to see the trend. To reduce the complexity, we can utilize a brush filter to zoom into a date interval of interest. To reduce the noise, we can use the moving average method to smooth the data.
By creating additional date features (day of the week, weekend vs weekday, month of the year, quarter of the year), we can group the data points by these date features and look for any seasonal patterns that's not easy to spot.
Each barcode chart inside the grid consists of a rectangle background colored by a chosen statistic feature and lines representing one day's step count.