Explore key concepts and best practices for creating interactive dashboards with dossiers, including visualizations, filters, and formatting tools. This quiz helps users understand essential features and functionalities for building engaging, user-friendly analytical reports.
Which visualization type would you choose to display trends in quarterly sales over several years?
Explanation: A line chart effectively shows trends and patterns over time, making it suitable for displaying quarterly sales across years. Pie charts display proportions at a single point and are not ideal for trends. Scatter plots are best for showing relationships between two variables, not trends over time. Tree maps show hierarchical data, not time series.
What is the primary function of the filter panel in an interactive dashboard dossier?
Explanation: The filter panel enables users to interactively refine what data is shown on the dashboard, making analysis more relevant to their needs. Modifying background color is a formatting task, not a filter function. Exporting as PDF is unrelated to data filtering. Creating user roles is handled elsewhere, not directly through the filter panel.
How can a user add a new visualization to a page in a dossier dashboard?
Explanation: By dragging and dropping a data field, the user quickly creates a visualization on the canvas, streamlining the workflow. Typing into the title bar will only change titles, not add visualizations. Restarting the session or changing the theme does not affect content creation.
What is the purpose of navigation tabs in a multi-page interactive dashboard dossier?
Explanation: Navigation tabs are designed to help users move between different areas or pages of a dashboard easily. Refreshing data is usually handled by a specific button, not via tabs. Emailing snapshots and inserting data sources are unrelated to navigation tabs.
Which feature allows users to customize the font size and color of text elements in a dashboard dossier?
Explanation: The formatting pane is specifically designed for adjusting text attributes like font size and color, improving visual clarity. The export menu is for saving or sharing outputs. The filter bar controls data visibility, not formatting. Data blending is for combining datasets, not for formatting text.
Why would you add a date filter to a dashboard dossier with sales data?
Explanation: Adding a date filter enables users to focus analysis on designated periods, enhancing flexibility and relevance. Date filters do not handle automated emails, formatting, or regional grouping, which require different functionalities.
What is the benefit of adding an image, such as a logo, to a dashboard dossier?
Explanation: Adding a logo reinforces organizational identity, making the dashboard professional and easy to identify. Images do not perform filtering or data editing functions. Adding data connections is achieved through specialized options, not by inserting images.
How can users change the order in which data is displayed within a dashboard visualization?
Explanation: Sorting options allow users to reorder data in charts or tables, making it easier to identify patterns. Deleting the dashboard or emailing it does not affect data order. Password resets are entirely unrelated to dashboard data sorting.
Which dashboard page layout mode is best for ensuring content adapts to both desktops and mobile devices?
Explanation: A responsive layout automatically adjusts items based on screen size, ensuring usability across multiple devices. A fixed layout remains static, risking cut-off content. Linear layout and grid view are less flexible and may not respond optimally to device changes.
Why is it important to use clear, descriptive titles for each visualization in an interactive dossier?
Explanation: Clear titles assist users in quickly interpreting data visuals, improving overall dashboard usability. Titles do not affect loading speed or data security. Advanced calculations are created separately and are not generated by titles.