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DY0-001 · Question #40

SIMULATION 1 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 th

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Data Analytics Methods

Question

SIMULATION 1 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. 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.

Exhibit

DY0-001 question #40 exhibit

Options

  • AThe data set consuming too many resources
  • BThe data set having insufficient features
  • CThe data set having insufficient row observations
  • DThe data set not being representative of the population

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Topics

#data visualization#data standardization#geographic data#chart selection
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