This dataset comprises multiple files of crime data spanning from 2015 to 2023. I consolidated these files into a single combined dataset. Upon conducting descriptive analysis, it became evident that certain columns (e.g., SHOOTING, UCR_PART, OFFENSE_CODE_GROUP) exhibit a notably high count of missing values, suggesting the need for imputation or alternative strategies for addressing these gaps.
The temporal details (YEAR, MONTH, DAY_OF_WEEK, HOUR) present in the dataset offer an opportunity to analyze trends and patterns over time. Concurrently, the spatial information (DISTRICT, Lat, Long, STREET, Location) provides the basis for exploring the geographical distribution of incidents.
Further exploration and cleaning of the dataset may be imperative, depending on the specific goals of the analysis. These insights form a foundational understanding for subsequent data exploration and analysis, allowing for the extraction of meaningful information from the dataset.