The data provided in the comma-separated file
birthday-data.csv gives the number births recorded by the US Centers for Disease Control and Prevention's National Center for Health Statistics for each day of the year as a total from years 1969-1988. The columns are: month number (1=January, 12=December), day number, and number of live births.
Use NumPy to estimate, for each day of the year, the probability of someone's birthday being on that day. Plot the probabilities as a heatmap like that of Example E7.22 and investigate any features of interest.
Hint: the data need "cleaning" to a small extent – inspect the data file first to establish the presence of any incorrect entries.
To access solutions, please obtain an access code from Cambridge University Press at the Lecturer Resources page for my book (registration required) and then sign up to scipython.com providing this code.