Project Title: Predictive Policing and Crime Analysis
The files in this repository are scripts and modules that can be used to look at crime data, predictive police data, and individual awareness data.
Email : S21002998@mail.glyndwr.ac.uk.
Bang Diep Tran
Glyndŵr University for school
Review of the System ('system_evulation.py')
- Goal: Use survey research to look at a system that works like predictive policing.
- Key points:
- Look at how familiar people are with predictive police.
- Figure out how much the normal person knows about predictive policing. – Check how much people believe the system works to reduce crime.
- Figure out how comfortable you are using the system.
- Figure out how likely it is that the system will be used regularly. — Find out what worries most people have about the system. See if there are any links between learning, comfort, and likely usage.
Number 2: Survey Calculation ('survey_calculation.py')
The goal is to look at survey data about people's situational knowledge and how safe they think they are.
- Key points:
— Give detailed numbers about safety and knowledge.
– Show how safety and knowledge are ranked by age group and city population.
— Display the amounts needed for safety studies and the most effective ways to raise awareness.
- Make graphs showing how age, awareness, and safety scores are related.
- Analysis of Crime Data ("crime_data.py")
- Purpose: Analyse and process crime data from several CSV files.
- Key points:
- Sort the crime data by the year and the police station that reported it. — Figure out and see how often different types of crimes happen.
- Keep gathered info and visualisations for later use.
- Data Manipulation and Analysis: pandas
- Numerical Operations: numpy
- Visualisation: seaborn, matplotlib
- File System Operations: os