import json

import pandas as pd

import matplotlib.pyplot as plt

def load$\_$data$($filepath$)$:

with open$($filepath$,\text{'}$r$\text{'})$ as f:

return json.load$($f$)$

def accum$\_$crime$($unit$,$ crimes, city$\_$dicts$\_$lst$)$:

result $=\{\}$

# Convert single crime to list for consistent processing

if isinstance$($crimes$,$ str$)$:

crimes $=[$crimes$]$

# Accumulate counts

for city in city$\_$dicts$\_$lst:

key $=$ city$[$unit$]$

if key not in result:

result$[$key$]=0$

for crime in crimes:

result$[$key$]+=$ city$[$crime$]$

return result

def create$\_$crime$\_$summary$($city$\_$dicts$\_$lst$)$:

# Define crime categories

violent$\_$crimes $=[\text{'}$Murder$\text{'},$ 'Rape', 'Robbery', 'Assault'$]$

nonviolent$\_$crimes $=[\text{'}$Burglary$\text{'},$ 'Theft', 'Vehicle$\_$Theft'$]$

# Create summaries

murder$\_$by$\_$region $=$ accum$\_$crime$(\text{'}$Region$\text{'},$ 'Murder', city$\_$dicts$\_$lst$)$

violent$\_$by$\_$region $=$ accum$\_$crime$(\text{'}$Region$\text{'},$ violent$\_$crimes, city$\_$dicts$\_$lst$)$

nonviolent$\_$by$\_$region $=$ accum$\_$crime$(\text{'}$Region$\text{'},$ nonviolent$\_$crimes, city$\_$dicts$\_$lst$)$

return murder$\_$by$\_$region, violent$\_$by$\_$region, nonviolent$\_$by$\_$region

def plot$\_$crime$\_$data$($data$\_$dict, title, figsize$=(10,6))$:

# Convert dictionary to dataframe

df $=$ pd$.$DataFrame$($list$($data$\_$dict.items$()),$ columns$=[\text{'}$Region$\text{'},$ 'Incidents'$])$

# Define colors for regions

color$\_$map $=\{$

'South': 'blue', 'West': 'orange',

'Northeast': 'green', 'Midwest': 'red'

$\}$

colors $=[$color$\_$map$[$region$]$ for region in df$[\text{'}$Region$\text{'}]]$

# Create plot

plt$.$figure$($figsize$=$figsize$)$

plt$.$bar$($df$[\text{'}$Region$\text{'}],$ df$[\text{'}$Incidents$\text{'}],$ color$=$colors$)$

plt$.$title$($title$)$

plt$.$xlabel$(\text{'}$Region$\text{'})$

plt$.$ylabel$(\text{'}$Incidents$\text{'})$

# Print data table

print$($f$"$

$-->\{$title

print$($df$.$to$\_$string$($index$=$True$))$

print$()$

plt$.$show$()$

def create$\_$state$\_$summary$($city$\_$dicts$\_$lst$)$:

# Get violent crime totals

violent$\_$crimes $=[\text{'}$Murder$\text{'},$ 'Rape', 'Robbery', 'Assault'$]$

state$\_$crimes $=$ accum$\_$crime$(\text{'}$State$\text{'},$ violent$\_$crimes, city$\_$dicts$\_$lst$)$

# Calculate national average $(51$ states including DC$)$

national$\_$avg $=$ sum$($state$\_$crimes.values$())/51$

# Create summary with differences

summary $=\{$

state: $\{$

'Crimes': crimes,

'Diff from Avg': round$($crimes $-$ national$\_$avg$)$

$\}$

for state, crimes in state$\_$crimes.items$()$

$\}$

# Print formatted table

print$($f$"$

$-->$ National Average Violent Crime: $\{$int$($national$\_$avg

print$("$

State Crimes Diff from Avg"$)$

print$("--------------------------------------------")$

for state in sorted$($summary$.$keys$())$:

print$($f$"\{$state:$<mn>1</mn><mn>5</mn><mi>\}</mi><mtext></mtext><mi>\{</mi>$summary$[$state$][\text{'}$Crimes$\text{'}]$:$>8\}\{$summary$[$state$][\text{'}$Diff from Avg'$]$:$>14\}")$

def main$()$:

# Filepath to the JSON data

filepath $=$ "FBI$\_$CrimeData$\_2016.$json"

# Load data

city$\_$dicts$\_$lst $=$ load$\_$data$($filepath$)$

# Create and display all visualizations and summaries

murder$\_$by$\_$region, violent$\_$by$\_$region, nonviolent$\_$by$\_$region $=$ create$\_$crime$\_$summary$($city$\_$dicts$\_$lst$)$

plot$\_$crime$\_$data$($murder$\_$by$\_$region, "Murder by Region"$)$

plot$\_$crime$\_$data$($violent$\_$by$\_$region, "Violent Crime by Region"$)$

plot$\_$crime$\_$data$($nonviolent$\_$by$\_$region, "Non$-$Violent Crime by Region"$)$

create$\_$state$\_$summary$($city$\_$dicts$\_$lst$)$

# Call the main function

if $\_\_$name$\_\_=="\_\_$main$\_\_"$:

main$()$

Below is the image of the error im getting, also is there any way to open up a conversation with people? I had another question for the last person who answered me

The photo

TypeError

Traceback $($most recent call last$)$

$/$tmp$/$ipykernel$\_75272/1618424347.$py in

$87$ # Call the main function

$88$ if $\_$name $==$ "main":

$--->89$

main$()$

$/$tmp$/$ipykernel$\_75272/1618424347.$py in main$()$

$79$ city$\_$dicts$\_$lst $=$ load$\_$data$($filepath$)$

$80$ # Create and display all visualizations and summaries

$--->81$ murder$\_$by$\_$region, violent$\_$by$\_$region, nonviolent$\_$by$\_$region $=$ create$\_$crime$\_$summary$($city$\_$dicts$\_$lst$)$

$82$ plot$\_$crime$\_$data$($murder$\_$by$\_$region, "Murder by Region"$)$

$83$ plot$\_$crime$\_$data$($violent$\_$by$\_$region, "Violent Crime by Region"$)$

$/$tmp$/$ipykernel$\_75272/1618424347.$py in create$\_$crime$\_$summary$($city$\_$dicts$\_$lst$)$

$26$ nonviolent$\_$crimes $=[\text{'}$Burglary$\text{'},$ 'Theft', 'Vehicle$\_$Theft'$]$

$27$ # Create summaries

$--->28$ murder$\_$by$\_$region $=$ accum$\_$crime$(\text{'}$Region$\text{'},$ 'Murder', city$\_$dicts$\_$lst$)$

$29$ violent$\_$by$\_$region $=$ accum$\_$crime$(\text{'}$Region$\text{'},$ violent$\_$crimes, city$\_$dicts$\_$lst$)$

$30$ nonviolent$\_$by$\_$region $=$ ac$$um$\_$crime$(\text{'}$Region$\text{'},$ nonviolent$\_$crimes, city$\_$dicts$\_$lst$)$

$/$tmp$/$ipykernel$\_75272/1618424347.$py in accum$\_$crime$($unit$,$ crimes, city$\_$dicts$\_$lst$)$

$18$ result$[$key$]=0$

$19$ for crime in crimes:

$--->20$ result$[$key$]+=$ city$[$crime$]$

$21$ return result

$22$

TypeError: unsupported operand type$($s$)$ for $+=$: 'int' and $\text{'}$str$\text{'}$