This week we analyzed UK Bike Theft data. The dataset included Geospatial, Time Series, Categorical and Numerical data. I chose to analyze the number of bikes stolen over the past three years. A seasonal trend can be identified as bike thefts fall in the winter months and rise in the summer. After Identifying when the bikes were being stolen I analyzed the outcome of the police report and discover that the overwhelming majority of bike thefts have no suspects.