Explore essential concepts and best practices for building interactive dashboards using dossiers. This quiz covers fundamental features, customization options, and interaction techniques to help users design effective, user-friendly data visualizations.
Which component in a dossier allows users to organize related visualizations into separate, easily navigable sections?
Explanation: Chapters are used to group visualizations, making navigation between different parts of a dossier straightforward for users. Sheets and tiles refer to different layout elements but do not provide the same organizational structure as chapters. Slides typically refer to presentation features, not dossier navigation. Using chapters enhances user experience by logically grouping related content.
What feature allows viewers of an interactive dashboard to filter a visualization by selecting different values, such as viewing sales by region or by year?
Explanation: The page-by feature enables users to filter visualizations by selecting values from a list, providing dynamic analysis. Drill-through allows navigating to related or detailed data, not filtering by selectable values. Explore mode is for deep-dive analysis but doesn’t provide the control that page-by does. Link-out is used to open external content and doesn’t filter visualizations within the dashboard.
When designing a dossier, where should you place a filter if you want it to affect only a specific visualization and not the entire dashboard?
Explanation: Adding a filter directly to a visualization limits its effect to that visualization alone, offering targeted filtering. Placing a filter in the global filters panel would affect the entire dashboard. The navigation bar and dataset settings are unrelated to direct visualization filtering. Proper placement allows precise data control for users.
Which layout option allows designers to present content in a vertical stack, letting users scroll down through the visualizations?
Explanation: A vertical stack arranges content in a top-to-bottom order, enabling users to scroll. Free-form layouts permit arranging elements anywhere but don’t guarantee vertical stacking. Auto-fit grid aligns content based on a grid system, not purely vertically. Tabbed navigation separates content into tabs rather than stacking it vertically.
Which interactive element lets users click on a bar in a chart to highlight or filter related data elsewhere in the dashboard?
Explanation: Filter actions trigger when users click on data points, causing related data to adjust. Selectors are for choosing from lists, not interacting with chart elements. Interactive shell is not a standard dashboard element. Linked highlight is not a correct term for triggering interactions via chart clicks.
Which export option lets users download only the current visible portion of a dashboard, including any filters or selections applied?
Explanation: Export current view allows downloading just what is shown, including active filters or selections. Export all data ignores any filtering and downloads the entire dataset. Export original dataset refers to the full raw data, not the filtered view. Export as template is for saving reusable layouts, not outputting data.
If you want to display sales trends over several years within a dossier, which visualization type should you use?
Explanation: Line charts are ideal for showing changes over time, such as trends across years. Bullet charts are best for displaying progress against targets. Heatmaps are for visualizing data density or concentration. Pie charts show part-to-whole relationships and are not suited for time series data.
Which feature should you use to apply a consistent color scheme across all dashboards for branding purposes?
Explanation: Themes allow designers to apply uniform colors, fonts, and styles, ensuring a consistent look. Style editor makes individual component changes but doesn’t enforce consistency. Palette manager is often used for managing data colors, not full dashboard themes. Layout grid is for positioning elements, not styling.
When building a dossier, what must you do before creating visualizations if you want to combine sales and inventory data from two separate sources?
Explanation: Dataset blending integrates different data sources, such as sales and inventory, making combined analysis possible. Sorting the data only changes order without integrating datasets. Refreshing filters has no effect on data integration. Renaming attributes standardizes labels but does not combine underlying data.
Which feature allows viewers to leave feedback or discuss specific data points directly within a dashboard?
Explanation: Comments enable viewers to communicate about data within the dashboard interface. Annotations typically mark or label data but may not support discussion. Footnotes provide additional context but do not support interaction. Attachments allow file uploads, not in-dashboard conversation.