Part $1\mathrm{.}3$: Diversity in Tech

For this problem, you will be using data on diversity in top technology companies. Use the dictionary tech$\_$diversity$\_$data to access the information.

You would like to analyze the nested dictionary $($i$.$e$.,$ dictionary of dictionaries$)$ to find the companies that have a lower ratio of $2$ given groups of people than the given ratio, and return a dictionary of the companies and the ratio associated with the groups at the company.

For example, if ratio $=0\mathrm{.}5$ and fields $=[\text{'}$women$\_$of$\_$color','total$\_$female'$],$ then the returning dictionary should contain all of the companies with the ratio of women$\_$of$\_$color to total$\_$female employees less than $0\mathrm{.}5.$

I.e$.$ calculated$\_$ratio $=$ row$[$women$\_$of$\_$color'$]/$ row$[\text{'}$total$\_$female'$])$

If the calculated$\_$ratio is less than $0\mathrm{.}5,$ the item $\{$ company$\_$name: calculated$\_$ratio$\}$ is put in the dictionary.

Define the following function: