Excel Dashboards

What is the purpose of data visualization in Excel?

• To store large amounts of data in Excel.

• To create complex formulas for data analysis.

• To automate data entry processes.

• To make data easier to understand and analyze by presenting it in graphical formats.

Name one technique for creating interactive charts in Excel.

• Bar Charts

• Line Graphs

• Data Tables

• PivotCharts

How do you create a pivot table in Excel?

• Select data, go to 'Data' > 'Sort', and apply filters.

• Select data, go to 'Insert' > 'PivotTable', choose location, and arrange fields.

• Select data, go to 'View' > 'Freeze Panes', and adjust the layout.

• Highlight data, click on 'Home' > 'Format', and choose a style.

What are the key principles of effective dashboard design?

• Overloading information, inconsistent colors, no user feedback

• Clarity, simplicity, relevance, visual hierarchy, consistency, interactivity, audience optimization.

• Static design, lack of data, poor layout

• Complexity, ambiguity, irrelevance

How can you filter data in an Excel spreadsheet?

• Select the 'Insert' tab to create a chart.

• Use the 'Filter' option in the 'Data' tab after selecting your data range.

• Use the 'Sort' option in the 'Home' tab.

• Highlight the data and press 'Delete' to remove it.

What is the difference between sorting and filtering data?

• Sorting removes duplicates; filtering changes data types.

• Sorting is used for data entry; filtering is for data storage.

• Sorting and filtering are the same process applied differently.

• Sorting organizes data by order; filtering narrows down data by criteria.

Which chart type is best for showing trends over time?

• Bar chart

• Line chart

• Scatter plot

• Pie chart

How can you make a chart interactive in Excel?

• Use slicers, timelines, and data validation drop-downs to create interactivity in Excel charts.

• Apply conditional formatting to the chart area.

• Create a static image of the chart.

• Use pivot tables to summarize data.

What is the benefit of using pivot tables for data analysis?

• Pivot tables are only useful for creating charts.

• Pivot tables facilitate efficient data summarization and analysis.

• Pivot tables slow down data processing significantly.

• Pivot tables can only be used with numerical data.

What elements should be included in a well-designed dashboard?

• Static images only

• Historical data analysis

• User feedback forms

• Key performance indicators, data visualizations, filters, clear layout, real-time updates.