Unravelling crime patterns and trends to better understand the safety level and categories of incidents that occur in different areas in SF. This will help the SF residents , tourists - - stay vigilant on safety and security as SF continues to grow as a desirable city to live with thriving industry. - povide insights on criminal activity in the area.
The technical requirements for Project are as follows.
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[ X] Use Pandas to clean and format your data set(s)
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[ X] Create a Jupyter Notebook describing the data exploration and cleanup process
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[ X] Create a Jupyter Notebook illustrating the final data analysis
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[ X] Use Matplotlib to create a total of 6-8 visualizations of your data (ideally, at least 2 per "question" you ask of your data)
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[X ] Save PNG images of your visualizations to distribute to the class and instructional team, and for inclusion in your presentation
Folder containing main python code : - Code/Crime_SF_Main.py - The main Python code - Code/Crime_SF_Main.pynb - The main Python notebook with output plots and sample datasets
Output plots are organized in the plot folder
Requirements.txt - required Python packages