Program design: emergency response | Intro to CS - Python | Khan Academy
60Code along with a software engineer in this worked example using nested data. Analyze a dataset of emergency response incidents to identify the most common incident types and busiest hours of the day. Iterate over a list of dictionaries and apply data transformation to create new data structures better suited to the use case.
View the program used in this video at: https://www.khanacademy.org/python-program/program-design-emergency-response/4505398963978240
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TIMESTAMPS:
00:00 : incident response dataset
00:41 : count incidents by type
01:12 : data transformation
02:03 : KeyError - missing type
02:58 : normalize the type
03:50 : busiest hour - break down the problem
04:33 : count incidents by hour
05:16 : find busiest hour - max value
05:58 : final data insights