South Africa Crime Visualization, Trends Analysis, and Prediction Using Machine Learning Linear Regression Technique

Table 1

Crime category.

Number	Category
1	All theft not mentioned elsewhere
2	Arson
3	Assault with the intent to inflict grievous bodily harm
4	Attempted murder
5	Bank robbery
6	Burglary at nonresidential premises
7	Burglary at residential premises
8	Carjacking
9	Commercial crime
10	Common assault
11	Common robbery
12	Driving under the influence of alcohol
13	Drug-related crime
14	Illegal possession of firearms and ammunition
15	Malicious damage to property
16	Murder
17	Robbery at nonresidential premises
18	Robbery at residential premises
19	Robbery in cash transit
20	Robbery with aggravating circumstances
21	Sexual offenses
22	Sexual offenses as a result of police action
23	Shoplifting
24	Stock-theft
25	Theft of motor vehicle and motorcycle
26	Theft out of or from motor vehicle
27	Truck hijacking