Data Story Telling and Power BI Recap quiz

What is a data story?

• a) A narrative that explains the origins of data.
  

• b) A visualization that displays data in a chart.
  

• c) A compelling and coherent narrative created from data to communicate insights.
  

• d) A fictional story based on data.

  
  

What is the primary purpose of data visualization?

• a) To make data more difficult to understand.
  

• b) To present data in a visually appealing way.
  

• c) To communicate insights and patterns in data effectively.
  

• d) To hide data from viewers.

  
  

Which of the following is NOT a type of Power BI visual?

• a) Line Chart
  

• b) Bar Chart
  

• c) Scatter Plot
  

• d) Flowchart

  
  

What is the purpose of using filters in Power BI visualizations?

• a) To distort the data.
  

• b) To manipulate the data.
  

• c) To focus on specific subsets of data.
  

• d) To remove all data from the visualization.

  
  

What does the "drill-down" feature in Power BI allow you to do?

• a) Zoom in on specific areas of a chart for more detail.
  

• b) Hide certain data points from view.
  

• c) Change the color scheme of the visualization.
  

• d) Share the visualization with others.

  
  

Which Power BI visual is best suited for showing the distribution of a single measure across multiple categories?

• a) Pie Chart
  

• b) Line Chart
  

• c) Treemap
  

• d) Gauge

  
  

What is the purpose of the "tooltip" in Power BI visualizations?

• a) To provide additional context or details when hovering over data points.
  

• b) To block access to certain data.
  

• c) To prevent users from interacting with the visualization.
  

• d) To display advertisements.

  
  

What does the "highlighting" feature in Power BI allow you to do?

• a) Emphasize specific data points by changing their appearance.
  

• b) Hide certain data points from view.
  

• c) Remove all data from the visualization.
  

• d) Change the font size of the visualization.

  
  

What is the primary purpose of storytelling in data analysis?

• a) To entertain the audience.
  

• b) To communicate data insights in a compelling and understandable way.
  

• c) To hide important information from some viewers.
  

• d) To make the data more difficult to interpret.

  
  

Which of the following is NOT a best practice for creating effective data stories?

• a) Using clear and concise language.
  

• b) Incorporating irrelevant information.
  
  

• c) Providing context for the data.
  

• d) Using visualizations to support key points.