Reducing the Data

Load the contents of the JSON$-$formatted data file into a variable named city$\_$dicts$\_$Ist

To create the data structures required to produce the three bar charts you will need to reduce city$\_$dicts$\_$Ist into three summary dictionaries:

$$ murder$\_$by$\_$region

$$ violent$\_$by$\_$region

nonviolent$\_$by$\_$region

To do so$,$ iterate over city$\_$dicts$\_$Ist and create each respective dictionary using an accumulation pattern. The resulting dictionaries should be identical to this:

$1$ print$($murder$\_$by$\_$region$)$

$2$ print$($violent$\_$by$\_$region$)$

$3$ print$($nonviolent$\_$by$\_$region$)$

'South': $5018,$ 'West': $2605,$ 'Northeast': $1674,$ 'Midwest': $3304)$

$\{\{\text{'}$South$\text{'}$: $331011,$ 'West': $259401,$ 'Northeast: $156891,$ 'Midwest': $211854)(\text{'}$South$\text{'}$: $2080097,$ 'West': $1781665,$ 'Northeast': $760200,$ 'Midwest': $1226462)$

Create a function named accum$\_$crime$()$ to make the three dictionaries shown above.

accum crime $()$ has three parameters:

Parameter

Description

unit

key upon which to accumulate $($i$.$e$.$ Region or State$)$

crime

crime $($e$.$g$.$ Murder, Vehicle$\_$Theft, etc.$)$ used to accumulate summary values for the specified unit

city$\_$dicts$\_$lst

list containing dictionaries for each city, read from provided data

file

The accum$\_$crime $()$ function should produce the summary dictionaries shown above when appropriate parameters are provided.