Obura98/South_Africa_Crime_Statistics

A project that analyses South African Crime Statistics ## **CRIME STATISTICS IN SOUTH AFRICA** The World Bank under its Governance Global Practice supports its client countries to help them build capable, efficient, open, inclusive, and accountable institutions. Our company, Mckinsey Consultants, has been given the task to work with the South African Police Services(SAPS) to ensure that its crime statistics are in line with the international best practice. This will be achieved through a Memorandum of Understanding with Statistics South Africa (Stats SA), aimed at further enhancing the quality and integrity of the South African Crime Statistics. ## -- Project Status: [Completed] ## Methods Used Inferential Statistics Data Analysis Data Visualization ## Technologies Python Pandas,Numpy and jupyter matplotlib ## Project Description The World Bank under its Governance Global Practice supports its client countries to help them build capable, efficient, open, inclusive, and accountable institutions. Our company, Mckinsey Consultants, has been given the task to work with the South African Police Services(SAPS) to ensure that its crime statistics are in line with the international best practice. This will be achieved through a Memorandum of Understanding with Statistics South Africa (Stats SA), aimed at further enhancing the quality and integrity of the South African Crime Statistics. **The objectives of this analysis are** * Identify the year that had the highest rate of crime * Examine the province that has the highest rate of crime * Identify the percentage of the provinces in South Africa that documented specific crimes * Determine the time was crime prevalent and in which police station, province overall * Investigate the police station which recorded the highest number of crimes ## Dataset Used 1. South Africa crime data.csv[kaggle.com] 2. South Africa GDP and POP1.csv ## Needs of this project * data exploration * data processing/cleaning * data Visualizat …