SIMULATION
A client has gathered weather data on which regions have high temperatures. The client would like a visualization to gain a better understanding of the data.
INSTRUCTIONS
Part 1
Review the charts provided and use the drop-down menu to select the most appropriate way to standardize the data.
Part 2
Answer the questions to determine how to create one data set.
Part 3
Select the most appropriate visualization based on the data set that represents what the client is looking for.
If at any time you would like to bring back the initial state of the simulation, please click the Reset All button.

Correct Answer:

Part 1
Select Table 2. Table 2 contains mixed temperature scales (°F and °C) that must be standardized before visualization.
Variable: Temperature/scale
Action: Correct
Value to correct: 50 °C

Part 2
Method: Data matching
Join variable: Zip code
You need to merge the two tables by aligning matching records, which is a data-matching (join) operation, and ZIP code is the shared, uniquely identifying field linking each region's weather reading to its city.

Part 3
Choose the choropleth map (the first option).
A choropleth map best shows geographic variation in temperature by coloring each state (or region) according to its recorded value. This lets the client immediately see where the highest and lowest temperatures occur across the U.S. without distracting elements like bubble size or combined chart axes.

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Which of the following methods should a data scientist use just before switching to a potential replacement model?

• A.A/B testing
• B.Performance monitoring
• C.CI/CD
• D.Containerization

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A data scientist has built an image recognition model that distinguishes cars from trucks. The data scientist now wants to measure the rate at which the model correctly identifies a car as a car versus when it misidentifies a truck as a car. Which of the following would best convey this information?

• A.Confusion matrix
• B.AUC/ROC curve
• C.Box plot
• D.Correlation plot

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Which of the following issues should a data scientist be most concerned about when generating a synthetic data set?

• A.The data set consuming too many resources
• B.The data set having insufficient features
• C.The data set having insufficient row observations
• D.The data set not being representative of the population

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Which of the following explains back propagation?

• A.The passage of convolutions backward through a neural network to update weights and biases
• B.The passage of accuracy backward through a neural network to update weights and biases
• C.The passage of nodes backward through a neural network to update weights and biases
• D.The passage of errors backward through a neural network to update weights and biases

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