Data Visualization and Dashboard Design Quiz

What are the two main types of data visualization?

• Static visualization, Interactive visualization

• Text visualization, Audio visualization

• Line graph, Scatter plot

• Bar chart, Pie chart

Explain the difference between a bar chart and a pie chart as types of data visualization.

• A bar chart uses lines to represent data, while a pie chart uses a rectangular graph with circles.

• A bar chart uses rectangular bars to represent data, while a pie chart uses a circular graph with slices.

• A bar chart uses circles to represent data, while a pie chart uses a linear graph with bars.

• A bar chart uses triangles to represent data, while a pie chart uses a circular graph with squares.

What are some best practices for dashboard design?

• Keeping it simple and focused, using appropriate visualizations, providing interactivity, and ensuring it is easily understandable for the target audience.

• Using random and irrelevant visualizations

• Making it as complex as possible to impress the audience

• Not considering the target audience's understanding

Why is it important to use consistent color schemes in dashboard design?

• To make it harder for users to interpret and understand the data

• To create a chaotic and unattractive dashboard design

• To create a cohesive and visually appealing dashboard design, making it easier for users to interpret and understand the data.

• To make the dashboard design more confusing for users

Name two popular tools used for data visualization.

• Photoshop and Illustrator

• Excel and Word

• Tableau and Power BI

• Python and R

What are the key features of interactive dashboards?

• Non-customizable widgets, outdated data updates

• The key features of interactive dashboards include real-time data updates, interactive data visualization, drill-down capabilities, and customizable widgets.

• Limited data visualization, no drill-down capabilities

• Static data updates, non-interactive data visualization

How can interactivity enhance the effectiveness of a dashboard?

• By removing the ability to customize views

• By displaying only static images

• By limiting user interaction with the data

• By allowing users to explore data, drill down into details, and customize views.

Explain the concept of data storytelling through visualization.

• Using dance to communicate data insights

• Creating a data visualization without any narrative

• Using visual elements to communicate insights and narratives from data

• Using only text to present data insights

How can data storytelling help in conveying insights from data?

• By making the data as complex as possible

• By using only numbers and charts

• By presenting the data in a narrative format

• By not providing any context for the data

What are some techniques for creating a compelling data story through visualization?

• Using black and white only

• Adding irrelevant context and annotations

• Choosing random chart types

• Choosing the right chart type, using color effectively, adding context and annotations, and focusing on the key message