Describe Best Practices for Planning and Creating Effective Data Visualizations DATA-SCIENCE-FOUNDATIONS Practice Questions (Page 2)

Questions 6–10

1. 6application · medium

   A team has created a complex dashboard for a group of executives. During a review, the executives say the dashboard is 'too busy' and they cannot tell what the main takeaway is. What is the best next step for the team?

   • AReplace all charts with tables to show the exact numbers
   • BIncrease the size of all charts to make them easier to read
   • CPrioritize the most important metric and simplify the layout to focus on that message
   • DAdd a legend to explain all the colors used in the charts
   Reveal Solution Discussion Select an answer first
2. 7application · medium

   A data analyst is preparing a visualization of monthly revenue. The raw data contains a column with revenue figures and a column with a region code. The analyst notices that some revenue entries are negative, which represent refunds. To accurately show net revenue, what should the analyst do before creating the chart?

   • AConvert all negative values to zero to keep the chart clean
   • BCreate the chart as-is, since the source data is always correct
   • CVerify the meaning of negative values with the source system and decide whether to include or exclude them
   • DRemove all negative values from the dataset to avoid skewing the chart
   Reveal Solution Discussion Select an answer first
4. 8foundation · easy

   When creating a line chart that shows multiple data series, which design practice improves clarity and reduces the chance of misinterpretation?

   • AUsing the same color for all lines
   • BRemoving all gridlines and labels
   • CAdding a legend and using distinct colors for each series
   • DUsing a 3D effect to make the chart more attractive
   Reveal Solution Discussion Select an answer first
5. 9application · medium

   A data science team is building a visualization for a technical audience of data engineers. The goal is to show the distribution of data processing times across different job types. The team is debating between a box plot and a bar chart of averages. Which choice is more appropriate for this audience and purpose?

   • AA box plot, because it shows the median, quartiles, and outliers for each job type
   • BA pie chart showing the proportion of total processing time for each job type
   • CA bar chart of averages, because it is simpler and easier to read
   • DA line chart showing processing time over the course of the day
   Reveal Solution Discussion Select an answer first
6. 10foundation · easy

   After creating an initial version of a data visualization, a data analyst shares it with a few stakeholders. What is the primary purpose of this step?

   • ATo demonstrate technical skills to stakeholders
   • BTo gather feedback and identify areas for improvement
   • CTo finalize the visualization without further changes
   • DTo replace the need for data validation
   Reveal Solution Discussion Select an answer first