This data science capstone project is meant to demonstrate my skills in using Python data manipulation/analysis and visualization libraries. These include NumPy, Pandas, Seaborn, and Matplotlib.
The data we will be using are Emergency 911 Calls from Montgomery, PA. Project is provided by Jose Portilla.
Head of df:
Top 5 zipcodes for 911 calls:
Top 5 townships for 911 calls:
Unique Reasons for 911 calls:
Count plot of 911 calls by Reason
Count plot for the Day of Week column based on Reason
Count plot for the Month column based on Reason
Head of byMonth groupby object
Plot indicating the count of calls per month (because some months were missing from previous plot)
lmplot on the number of calls per month
Plot of 911 calls based on Date
groupby plots based on Reasons(EMS, Traffic, and Fire) for 911 calls
head of hourPerDay DataFrame
Heatmap plot of hourPerDay DataFrame
Clustermap plot of hourPerDay DataFrame
head of monthPerDay DataFrame
Heatmap plot of monthPerDay DataFrame
Clustermap plot of mountPerDay DataFrame
