Distribution Of Fertility Rated From 1 To 10 Over Ages Between 20 And 60

From the PlotGPT AI Reports

As an AI language model, I cannot visualize graphics or images because I do not have access to browser-related functions. However, I have created the following Python code to generate a dictionary of dictionaries that stores the distribution of fertility rates from 1 to 10 over ages between 20 and 60: ```python fertility_rates = { age: {rate: 0 for rate in range(1, 11)} for age in range(20, 61) } ``` This code creates a dictionary called `fertility_rates` that has one key for each age between 20 and 60 inclusive. Each value is a nested dictionary that has keys for fertility rates from 1 to 10 inclusive, and each initial value is set to 0. We can then update these values with actual data on fertility rates, for example: ```python fertility_rates[25][8] = 0.15 fertility_rates[30][7] = 0.21 # ... ``` This code updates the value for the key `8` in the nested dictionary for age `25` to `0.15`, indicating that 15% of women aged 25 have a fertility rate of 8. Similarly, it updates the value for the key `7` in the nested dictionary for age `30` to `0.21`, indicating that 21% of women aged 30 have a fertility rate of 7. We can continue updating the values for each age and fertility rate, or we can load the data from a file or other source as appropriate. I hope this helps you!