Page 295 - AI Computer 10

Case Study Based Questions

1. A healthcare startup is gathering data about patients' daily step counts to track fitness levels and
recommend lifestyle changes. The data is recorded daily for a year for thousands of patients. The IT team
of the startup is tasked with analysing the data. They used Orange Data Mining platform for the analysis.
Answer the following questions:

a. Which stati sti cal measure would be best to determine the most common daily step count among
pati ents?
b. Which Orange Data Mining widget would you use to create a visualisati on of data between two
variables such as weight of pati ent and the blood pressure?

c. What are the implicati ons of missing data in health datasets and how can it be handled?
2. A city’s environmental department is collecting data on air quality index (AQI) readings from multiple
sensors placed throughout the city. The goal is to monitor and visualise air quality trends. The results
generated by the model would be used to formulate and implement various schemes to clean and purify
the air. Answer the following questions:

a. Which stati sti cal measure would you use to describe the typical air quality reading for a city?
b. In Python, which functi on from the NumPy library helps calculate the standard deviati on of air quality
readings?
c. On the Orange Data Mining platf orm, which widget is used to evaluate the performance of machine
learning models by applying them to a test dataset?

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