Today’s theme is Historical and I opted for a simple interpretation of showing the changing monthly temperature distribution over a year. Data is taken from a Python version going through what I consider the best time series textbook, Forecasting: Principles and Practise.
scale_y_continuous is the method that allows one to have fine grain control over the range of axis values and labels. I use it here to force my y axis to stay within 1-12 and to rename labels to more recognisable months.
If the chart is direct enough, one can omit the title without losing any information! I realised this right before I published, and feel that removing the title takes nothing away from the message and adds more whitespace.
Learnt what format the df should be when using geom_area_ridges() by consulting this example page.