Crime Data Analysis

Files

1. crime data analysis.ipynb: This is the main Jupyter notebook where the analysis is performed. It includes code, visualizations, and interpretations of the crime data.

2. data_description.xls: This Excel file contains descriptions and explanations of the columns/features present in the dataset. It helps in understanding the meaning of different attributes.

3. data_set.xlsx: This Excel file contains the actual dataset that is used for the analysis. It includes raw data about various crime incidents.

Analysis

The analysis includes but is not limited to:

• Exploratory Data Analysis (EDA) to understand the distribution and patterns of different types of crimes.
• Time-series analysis to identify trends and seasonality in crime occurrences.
• Geospatial analysis to visualize the distribution of crimes on a map and identify high-crime areas.
• Statistical modeling to predict future crime occurrences or understand factors influencing crime rates.

Usage

You can use the provided Jupyter notebook to explore the dataset further, perform additional analysis, or modify the code according to your requirements. The dataset and descriptions are also available for reference.