INTRODUCTION – Designing Powerful Report Pages
This week, you will delve into the principles of cohesive design, exploring the various ways in which well-executed design enhances both user experience and data comprehension. By understanding the foundational elements that contribute to a unified and aesthetically pleasing design, you will learn how to create interfaces and visualizations that not only capture the user’s attention but also facilitate a more intuitive and effective interaction with the information presented.
Through this exploration, you will discover the impact of design choices on usability and the overall user journey, gaining insights into how thoughtful design can make complex data more accessible and comprehensible, ultimately improving the user’s engagement and satisfaction.
Learning Objectives
- Apply visual clarity and multi-dimensional visualizations to reports
- Apply map visualizations to reports
- Apply Python-based visualizations to reports
SELF-REVIEW: OPTIMIZING A REPORT FOR MOBILE
1. How many visual elements exist in the report design before the mobile layout?
- 5
- 4
- 3 (CORRECT)
That’s correct! There are three visual elements: a bubble chart, a KPI chart, and a pie chart.
2. In the bubble chart of the report, what does the size of the bubble represent?
- Total Sales variance %
- District size
- Total Sales (CORRECT)
That’s correct! Total Sales is added to the size section of the bubble chart, and the size of the bubble is proportional to the sales amount.
3. True or False: After you select a mobile layout for a report, you can change the title properties of any visual element. This setting does not affect the desktop layout.
- False
- True (CORRECT)
That’s correct! You can change the title properties of any visual element. This setting does not affect the desktop layout.
4. What is the percentage difference of the Goal value to the Sales values in the KPI visual of the report?
- 6.67%
- -91.44%
- +91.44% (CORRECT)
That’s correct! The green color of the area chart indicates that the sales value has met or exceeded the target, visually emphasizing positive performance. Using color in this way helps to quickly convey key insights to the audience, making the data more accessible and easier to interpret at a glance.
5. What is the correct path to format the title of the chart?
- Visualization > General > Properties
- Visualizations > Visual > Title
- Visualizations > General> Title (CORRECT)
That’s correct! You can change the chart tile by navigating to Visualization > General > Title
6. A local retail company has sales operations in three major cities, the company wants to present the distribution of sales across the cities. Which of the following chart type best presents the percentage contribution by cities towards total sales ensuring visual clarity? Select all that apply.
- Pie chart (CORRECT)
- Donut chart (CORRECT)
- Bar chart
- Line chart
Great job! Both pie charts and donut charts are excellent for showing parts of a whole, like sales contributions by different cities. The donut chart has a similar function to the pie chart but with a hole in the center, which can sometimes allow for additional information to be displayed in the middle, making it more versatile for some designs. Keep using these charts to effectively convey percentages and distributions in your reports!
7. Which feature of Power BI desktop allows you to see a single visual in the entire report screen?
- Focus mode (CORRECT)
- Drill-down mode
- Table mode
That’s correct. With focus mode, you can display the visual on the entire screen and it is an important feature when designing reports for accessibility.
8. Adventure Works wants to analyze its sales data over time, including year level and daily sales values. The company also wants to analyze each salesperson’s performance over the same time period. Which report design best displays the required data?
- A column chart for the dates and a pie chart for salesperson data.
- A bar chart with a date hierarchy for drill-down and a line chart for the salesperson data.
- A bar chart with a date hierarchy and a slicer for salespersons. (CORRECT)
Exactly! Using a bar chart with a date hierarchy allows users to explore data at different time levels, such as year, quarter, month, or day, which helps uncover trends over time. The salesperson slicer enables users to filter and view sales performance by each individual, making the report more interactive and tailored to specific needs. Great job understanding these dynamic report features!
9. To visualize an Adventure Works Key Performance Indicator (KPI), Microsoft Power BI has a built-in visual called KPI. Which other visual from the visualization pane you can use to display KPI values?
- Gauge (CORRECT)
- Funnel chart
- Card visual
Correct! You can use gauge from the core visualization pane of Power BI to represent a KPI.
10. Which statements are true about dot plot chart? Select all that apply.
- Dot plot chart enables you to plot categorical data on the horizontal axis of the chart. (CORRECT)
- Dot plot chart is a variation of a scatter plot in Power BI. (CORRECT)
- Dot plot chart can be directly created from the visualization pane of Power BI desktop.
- Dot plot chart allows you to display relationship between two numerical data values.
A dot plot chart is characterized by displaying categorical data along the x-axis.
The dot plot chart is a variation of the scatter chart, used to represent multidimensional and categorical data.
11. In Microsoft Power BI, which visual can you use to display three numerical data values?
- Scatter chart
- Dot chart
- Bubble chart (CORRECT)
Correct! A bubble chart can display three numerical values, with the third value representing the size of the bubbles.
12. Which statement best describes the drill down operation in Power BI?
- It involves switching between different pages of the report.
- It involves aggregating data to a higher level of summarization.
- It involves filtering data by selecting a data point on a visual. (CORRECT)
Correct! Drill down operations allow users to filter data by selecting a specific data point in a visual, which then displays more detailed information related to that value. For example, clicking on a subcategory can reveal the individual products within that subcategory.
13. True or False: When you format the visuals in the mobile layout canvas, all the formatting, such as font size, will automatically change in the original desktop version of the report?
- True
- False (CORRECT)
Correct! Power BI allows you to format the visuals independently for desktop and mobile devices, so changing the font size will not alter the settings in the desktop version of the report.
KNOWLEDGE CHECK: LAYING OUT A REPORT
1. Which Power BI visual is used for visualizing the density and distribution of data across geographical regions or grids?
- 3D maps
- Treemaps
- Heat Maps (CORRECT)
Correct! Heat maps use color gradients to represent values, helping users easily spot patterns, trends, and areas of interest (hotspots) in large datasets, whether across geographical regions or grids.
2. In the Power BI mobile layout which pane lists all the visuals that are included on the original report page?
- Selection pane
- Visuals pane
- Page Visuals pane (CORRECT)
Correct! The Page Visuals pane displays all the visuals on the report page, allowing you to create a mobile-optimized layout by dragging and dropping visuals from the pane onto the layout canvas. This enables you to customize how the report appears on mobile devices.
3. True or False: Changing settings in the mobile layout does not affect the desktop layout.
- True (CORRECT)
- False
That’s correct! Changing settings in the mobile layout won’t affect the desktop layout. Any property you change, will stop inheriting changes made in desktop layout.
4. Which chart type is used for exploring relationships between two numerical variables?
- Pie charts
- Line Charts
- Scatter plots (CORRECT)
Correct! Scatter plots are excellent for visualizing the correlation or relationship between two numerical variables, helping to identify trends, patterns, and outliers.
5. Which chart type displays a single metric and its performance against a target or baseline?
- KPI Chart (CORRECT)
- Bubble Chart
- Pie Chart
That’s correct! A KPI chart typically displays a single metric and its performance against a target or baseline.
SELF-REVIEW: VISUALIZING DATA BY GEOGRAPHICAL LOCATION
1. How many state records exist in the data set?
- 51
- 50 (CORRECT)
- 52
That’s correct! There are 50 state records in the Sales vs States data set.
2. What is the total sales value for the state of California in the Shapemap?
- $250,000.00
- $147,000.00
- $210,000.00 (CORRECT)
That’s correct! $210,000.00 is the totalsales value for the state of California in the ShapeMap.
3. What was the data category of the State field before you applied any transformation?
- Uncategorized (CORRECT)
- Address
- Country
Correct! The State field was set to the Power BI default data category of Uncategorized before any transformations were applied.
4. What data type is most suitable for a shape map visual in Power BI?
- Regionals sales data. (CORRECT)
- Individual data points for precise data representation.
- Time series data for trend analysis.
Correct! You can visualize sales values across various geographic regions using a shape map visual.
5. What are some common use cases for choropleth maps in data visualization?
- Showcasing economic indicators like GDP and unemployment rates. (CORRECT)
- Representing individual data points across different regions.
- Visualizing abstract data trends without any geographical boundaries.
Correct! Choropleth maps are particularly effective for visualizing geographic data, where color gradients represent different ranges of values, such as economic indicators, to provide clear insights at a regional level.
6. What is the correct procedure for utilizing choropleth maps in Power BI to visualize data effectively?
- Adding a choropleth map visual from the “Visualizations” pane and customizing it to enhance the visualization’s clarity and aesthetics, such as adjusting the color scale and formatting. (CORRECT)
- Selecting a random set of data without considering the data model structure and geographical regions.
- Using choropleth maps to represent qualitative data and ignoring color intensity for quantitative data representation.
Correct! To utilize choropleth maps in Power BI, users need to add the choropleth map from the “Visualizations” pane.
7. True or False: You can create a geo-hierarchy in Power BI using a shape map visual from the core visualizations pane?
- True
- False (CORRECT)
Correct! A Filled map in Power BI allows you to display data by regions and create a geo-hierarchy, enabling users to drill down into more granular levels like countries, states, and cities. Shape maps, on the other hand, do not support creating hierarchical relationships.
8. Which of the following map styles are available to use in the filled map visual of Power BI? Select all that apply.
- Grayscale (CORRECT)
- Road (CORRECT)
- Political
- Aerial (CORRECT)
Correct! Power BI supports using Grayscale maps as a style in filled map visuals.
Correct! Power BI supports using Road maps as a style in filled map visuals.
Correct! Power BI supports using Aerial maps as a style in filled map visuals.
9. What is the key difference between Shape and Filled maps in Power BI visualizations?
- Filled Maps offer predefined geographical boundaries from Bing Maps, while Shape Maps use custom vector files in the TopoJSON format for unique visualizations.
- Both Shape Maps and Filled Maps use custom vector files in the TopoJSON format to visualize data.
- Shape map visuals are based on maps that you can find on the Internet, create yourself, or convert to the TopoJSON format. Filled maps in Power BI can leverage the Bing Maps service for enhanced geographical visualization. (CORRECT)
Correct! Shape maps are designed to show regional comparisons using color, but they don’t provide detailed geographical locations like filled maps do. A filled map, on the other hand, provides more insightful geographical representation by using colors, shades, and patterns to show proportional differences across a region, making it easier to visually compare the intensity of values across a map. The ability to leverage Bing Maps adds a layer of accuracy and interactivity to filled maps in Power BI, enhancing the overall data visualization experience.
10. Which Azure map visual feature allows you to display custom information when the user hovers over a data point?
- Legend
- Category labels
- Tooltips (CORRECT)
Correct! In the Tooltips section you can customize and format the data you want to show when users hover over a data point.
11. Which of the following is an example of a security incident?
- Multiple unauthorized transfers of sensitive documents to an external system. (CORRECT)
- An authorized user emails a file to a customer.
- A company experiences increased traffic volumes on their website because of a new product release.
- An extreme weather event causes a network outage.
KNOWLEDGE CHECK: MAP VISUALS
1. What visuals are a geographic representation of areas, such as countries, states, or regions, that are shaded or patterned to illustrate quantitative data values?
- Choropleth Maps (CORRECT)
- Shape maps
- Treemaps
Correct! Choropleth maps are an effective way to visualize geographical variations in data by using color gradients or patterns to represent quantitative values. This makes them ideal for identifying trends and patterns in regional data, such as population density, income levels, or other socio-economic indicators, at a glance. By linking each region to a specific data value through color or shading, choropleth maps provide a clear, intuitive way to interpret spatial data distributions.
2. Which of the following projection methods is used to display three-dimensional earth as a two-dimensional cylindrical projection that converts the globe into a grid, with each rectangular cell having the same size, shape, and area?
- Orthographic
- Mercator
- Equirectangular (CORRECT)
That’s correct! Equirectangular is the cylindrical projection that converts the globe into a grid, with each rectangular cell having the same size, shape, and area.
3. True or False: Shape maps are most effective when visualized data has clear geographic boundaries.
- True
- False (CORRECT)
Exactly! Choropleth maps are especially powerful when you have data that varies across defined geographic regions, as they make it easy to spot patterns and trends. For example, they are ideal for visualizing data like election results, income distribution, or health statistics, where regional differences are significant. By shading each geographic region based on its data value, choropleth maps help audiences quickly grasp geographic disparities and gain insights that might otherwise be hard to see in a table or other chart types.
4. What is the format of the vector files generally used in Shape Maps?
- TopoJSON (CORRECT)
- Shapefiles
- SVG
Exactly! TopoJSON is a more efficient format compared to traditional GeoJSON, as it reduces redundancy by storing shared boundaries only once, rather than repeating them for every polygon. This makes it ideal for use in Power BI’s Shape Maps, as it helps to keep the data size smaller and improves performance, especially when working with large geographic datasets. TopoJSON is also more flexible and scalable, which is why it’s commonly used in interactive web maps and data visualizations.
5. What visual connects to a cloud service hosted to retrieve location data, such as map images and coordinates used to create the map visualization?
- Choropleth Maps
- Azure Maps (CORRECT)
- Shape maps
That’s correct! The Azure Maps Power BI visual connects to a cloud service hosted in Azure to retrieve location data, such as map images and coordinates used to create the map visualization.
KNOWLEDGE CHECK: CUSTOM VISUALIZATIONS
1. What is the potential security risk of using external Python libraries in Microsoft Power BI?
- Reduced/LimitedCompromised data visualization options.
- Limited performance and data processing capabilities.
- Exposure to security vulnerabilities in third-party libraries. (CORRECT)
That’s right! External Python libraries can pose security risks, so it’s crucial to be mindful of this and only use libraries from trusted sources.
2. How can you use Python in Microsoft Power BI? Select all that apply.
- To retrieve data from the data sources. (CORRECT)
- For data modeling
- For report optimization
- To create a custom visualization (CORRECT)
In Microsoft Power BI, you can retrieve data by utilizing the Python connector, which is available in the “Get Data” drop-down menu.
Additionally, it’s possible to create custom visualizations in Power BI using Python and its visualization libraries, such as Matplotlib and Seaborn.
3. True or False: Custom visuals can be created in the Microsoft Power BI desktop and can then be published and shared through the Power BI service.
- True (CORRECT)
- False
Exactly! You can import any custom visual from AppSource and incorporate it into a chart in a Microsoft Power BI report. When the report is published to the Power BI Service, the custom visual will remain fully functional, and anyone with access to the published report will be able to view it.
4. You are working with a multiple-table data model. If you enable Python scripting in Power BI and import the visualization library, what is the most important thing to do before creating Python visuals?
- Ensure the data is clean.
- Ensure the data tables are related in the data model. (CORRECT)
- Ensure the fields used to create the visual do not contain duplicate values.
That’s correct! If the data tables are not connected by relationships in the data model, you will get an error in the Python visualization.
5. What is a potential limitation of a Python visualization in Power BI?
- You cannot share a Python visual with other team members.
- You cannot cross-filter a Python visual by making a selection in another core Microsoft Power BI visual.
- You cannot cross-filter Microsoft Power BI core visuals by selecting a data point from the Python visuals. (CORRECT)
That’s right! Python visuals in Microsoft Power BI respond to selections made in other core visuals, allowing for interactivity. However, the reverse is not possible—interactions within the Python visual cannot be used to cross-filter or affect other elements of the report.
6. Which of the following statements describes how you can create custom visualizations in Power BI? Select all that apply.
- R (CORRECT)
- Power Query
- Python (CORRECT)
- DAX
Exactly! R, a widely used statistical language, can be employed in Power BI to create custom visuals.
Similarly, Python scripts and its libraries can be used to develop dynamic and advanced custom visuals in Power BI.
7. True or False: Data fields from different tables must have defined relationships between them.
- True (CORRECT)
- False
That’s right! Just like other visuals in Power BI Desktop, an error will occur if you select data fields from different tables that don’t have a defined relationship between them.
MODULE QUIZ: DESIGNING POWERFUL REPORT PAGES
1. While working on a dataset and designing a report, you realize that you need to use a specialized chart type that is not available in the Microsoft Power BI Visualization pane. How do you solve this problem? Select all that apply.
- Use the Microsoft Power BI query editor and M language to generate a custom visual.
- Create a custom visual using DAX.
- Utilize Python-based visualization libraries. (CORRECT)
- Install a custom visual from Microsoft Power BI AppSource. (CORRECT)
Exactly! Python, along with its visualization libraries like Matplotlib and Seaborn, offers a wide variety of static and interactive visualizations that you can use in Microsoft Power BI to meet your specific needs.
Similarly, you can install custom visuals from the Power BI section of Microsoft AppSource, tailored to your analytical or design requirements.
2. In a KPI visual, what is typically represented as the main metric?
- Multiple measures
- A single data point (CORRECT)
- A scatter plot
That’s correct! A KPI chart is designed to present a single measure as a metric to track performance against a pre-defined target.
3. How can you create a Bubble chart in Microsoft Power BI desktop? Select all that apply.
- Selecting and modifying a Line chart from the Visualization pane.
- Selecting the Scatter chart in the Visualizations pane and then modifying it. (CORRECT)
- Importing a custom visual from Microsoft Power BI AppSource. (CORRECT)
- Choosing it from the core Visualizations pane of Microsoft Power BI.
Feedback: That’s correct! The Power BI core visualization pane does not contain a Dot plot chart. You need to select the Scatter chart and modify it to create a Dot plot chart.
That’s correct! A custom Dot plotchart can be imported from Microsoft AppSource.
4. You are creating visualizations for a complex dataset in Microsoft Power BI to uncover correlations, patterns, and insights from the raw data. Upon careful review of the data, you realize the dataset contains multiple numerical fields. What is the primary challenge when plotting the current dataset?
- Handling a large volume of data without losing clarity. (CORRECT)
- Difficulty in finding a suitable chart type.
- Limited customization options.
5. Your task is to design a Microsoft Power BI report that is accessible and accommodates the needs of all users. What accessibility features can you include in your report? Select all that apply.
- Apply an accessibility theme. (CORRECT)
- Use tab orders from the selection pane. (CORRECT)
- Provide appropriate chart and axis titles. (CORRECT)
- Ensure the data tables have appropriate relationships.
Exactly! Microsoft Power BI provides specific themes designed to enhance the visual accessibility of reports.
Arranging visuals in a logical tab order ensures a smooth flow of information, enabling users to navigate the report effectively using keyboard shortcuts.
Additionally, adding clear and descriptive titles to visual elements, as well as labeling chart axes with appropriate titles and units, helps users with visual impairments navigate the report with ease.
6. You are a data analyst in an environmental agency. You are responsible for analyzing air quality, temperature variations, and pollution levels in various regions. A map visualization is an ideal approach to visualize such data. Which of the following visuals is most suited to representing this type of data?
- Shape maps
- Filled maps (CORRECT)
- 3D maps from AppSource
That’s correct! The Filled map visual allows you to present the data with quantitative information and an overview of its distribution across geographic locations.
7. What are typical use case scenarios for a Filled map visual in Microsoft Power BI? Select all that apply.
- Comparing values across regions on a map using color.
- Displaying an overview of geographical distribution. (CORRECT)
- Working with socioeconomic data. (CORRECT)
- Displaying quantitative information on map. (CORRECT)
Exactly! The Filled map visual in Microsoft Power BI allows you to visualize data distribution across different geographical regions, helping to present geographic patterns and trends clearly.
That’s correct! You can use Filled maps to visualize economic data such as GDP (Gross Domestic Product) or unemployment rates.
That’s correct! Filled maps are used to display quantitative data based on geographical locations.
8. True or False: The Microsoft Azure map visual provides better formatting and control options than other map visuals in Microsoft Power BI?
- True (CORRECT)
- False
9. True or False: When using a Python visualization in Microsoft Power BI, the Python visual creates a dataframe. To create the dataframe, you need to bring all the required fields to the Values section of the visual.
- True (CORRECT)
- False
10. You are working in a marketing agency analyzing website traffic. You want to highlight which areas of the website receive the most and the least clicks. Which chart type can you use to best visualize this data?
- Treemap
- Donut chart
- Heatmap (CORRECT)
That’s right! A Heat map can be used to display user activity on a website, where the intensity of the color represents the level of interaction. For example, red typically indicates high activity, while blue represents low activity. This visualization helps identify areas of a website that attract the most user engagement.
11. What programming languages can you use to create custom visuals in Microsoft Power BI reports? Select all that apply.
- SQL
- Python (CORRECT)
- R (CORRECT)
- DAX
Exactly! Python, with its powerful visualization libraries, can be leveraged to create custom visualizations in Microsoft Power BI.
Similarly, R, combined with its statistical packages, is a robust language for creating custom visuals in Power BI, enabling advanced data analysis and presentation.
12. What additional elements are often included in a KPI visual to provide context for the metric? Select all that apply.
- Location information
- Trend axis (CORRECT)
- Target value (CORRECT)
- Hierarchy
Exactly! A trend axis can be added to the KPI chart to track and display progress over time.
Similarly, the target value is a mandatory field in a KPI visual, as it helps monitor the measure against a specific objective or goal.
13. What advantages does a Dot plot give you over other visualizations for comparing data points? Select all that apply.
- Its ability to use categorical information on the horizontal axis. (CORRECT)
- Its simplicity and ease of interpretation (CORRECT)
- It allows for plotting multi-dimensional data. (CORRECT)
- Its ability to show hierarchical relationships.
That’s correct! Plotting the categorical information on the x-axis is the unique feature of Dot plot charts in Microsoft Power BI.
That’s correct! Dot plots are simple to use, easy to interpret, and compare data points presented in the plot.
That’s correct! In a Dot plot you can display multi-dimensional data.
14. You are creating visualizations for a complex dataset in Microsoft Power BI to uncover correlations, patterns, and insights from the raw data. Upon careful review of the data, you realize the dataset contains multiple numerical fields. Which chart type should you choose?
- Scatter chart (CORRECT)
- Line chart
- Bar chart
That’s correct! The Scatter chart is the best option available in Microsoft Power BI core visualization to present multiple numerical values as correlation.
15. True or False: You have created a combo chart in Microsoft Power BI with primary and secondary y-axes. Power BI allows you to visualize the chart data in a table form without creating a separate table visual.
- True (CORRECT)
- False
16. Adventure Works has multiple stores located in different regions and wants to analyze its sales values at various granular levels from countries to stores. As a principal data analyst, which visualization approach do you think is most suitable?
- Create a Shape map visual with geo-hierarchy
- Create a Filled map visual with geo-hierarchy (CORRECT)
- Create a Column chart with drill down functionality.
Exactly! The Filled map visual in Microsoft Power BI enables the creation of geo-hierarchies, which allows you to visualize detailed information for different regions at various levels, such as country, state, or city. This provides a clear and structured way to analyze geographical data.
17. When using Azure maps what field of the visual is used to represent a numerical value such as sales?
- Legend
- Latitude
- Size (CORRECT)
Exactly! The Size well in the Azure map visual in Microsoft Power BI is used to display numerical values from the dataset. These values are represented by the size of the bubbles on the map, allowing for a clear and intuitive visual comparison of data points across different geographical locations.
18. True or False: You are working with an Adventure Works dataset with sales and categories. You have created a Bar chart using a Python visualization. You need to change the chart color and size. You can use the Format visual choice in Power BI to format Python-based visuals.
- True
- False (CORRECT)
Exactly! Python-based visuals in Microsoft Power BI cannot be formatted directly from the Format visual pane. To adjust the style, color, and size of the visual, you would need to modify the Python script used to generate the visual.
19. Adventure Works wants to analyze market share by its product categories and subcategories. Which type in Microsoft Power BI is the best option to display this data in a single visual?
- Scatter chart
- Heat map
- Treemap (CORRECT)
That’s correct! A Treemap can display the product categories as main branches and subcategories as nested rectangles. The size of each rectangle represents the market share within its category.
20. What are the prerequisites for using Python-based visualizations in Microsoft Power BI? Select all that apply.
- Ensure that Python scripting is configured in Microsoft Power BI desktop. (CORRECT)
- Import the Python visualization libraries. (CORRECT)
- Import Python custom visuals from Microsoft AppSource.
- Install Python on your local computer. (CORRECT)
Exactly! To use Python-based visualizations in Power BI, you must first ensure that Python scripting is enabled and that the Python home directory path is properly defined in Power BI.
Additionally, Python visual libraries like Matplotlib must be imported before you can create custom visuals in Power BI.
Lastly, installing Python on your local computer is the essential first step before using it for custom visualizations in Power BI.
21. You are creating visualizations for a complex dataset in Microsoft Power BI to uncover correlations, patterns, and insights from the raw data. Upon careful review of the data, you realize the dataset contains multiple numerical fields. What is the primary challenge when plotting the current dataset?
- Handling a large volume of data without losing clarity. (CORRECT)
- Difficulty in finding a suitable chart type.
- Limited customization options.
That’s correct! The main challenge in displaying high density multi-dimensional data is presenting the data without losing clarity.
22. True or False: You have created a Bar chart in Microsoft Power BI using Python and matplotlib. To create color consistency with other Power BI charts, you must format the color scheme of the Bar chart from the Format visual tab in the Visualization pane of Power BI.
- True
- False (CORRECT)
Exactly! You cannot format a Python-based visual directly from the Format visual tab in Power BI. Instead, any formatting changes, such as adjusting the chart’s appearance, need to be done by modifying the Python script itself.
23. What Microsoft Power BI features is designed to help visually impaired users understand the content within a chart?
- Turning the data labels toggle to the on position.
- Adding Alt text to the chart. (CORRECT)
- Adding a descriptive heading to the chart.
That’s correct! By adding Alt text to the chart, you can provide a text explanation of the chart elements and details. This text can be read by screen readers which would help a visually impaired user to understand how the data is displayed.
24. What map visuals are available in Microsoft Power BI’s core visualizations pane? Select all that apply.
- Filled maps (CORRECT)
- Azure maps (CORRECT)
- Heat maps
- Shape maps (CORRECT)
That’s correct! Filled maps are the most used map visual from the Microsoft Power BI core visualizations.
That’s correct! Microsoft Power BI enables Microsoft Azure maps, which offer better formatting and control options.
That’s correct! Microsoft Power BI core visualization supports the use of Shape maps.
25. You are building a Power BI report that needs to display up-to-date boundary information for different countries. What map type allows you to visualize this type of information?
- 3D Map
- Shape Map
- Filled Map (CORRECT)
26. True or False: Comparing a large number of data points is the common characteristic feature of a Scatter chart, a Bubble chart, and a Dot plot chart.
- True (CORRECT)
- False
Exactly! Scatter charts are ideal for comparing large datasets, especially when dealing with multi-dimensional data. Bubble charts and dot plot charts are variations of scatter charts, offering different ways to represent data points with added dimensions, such as bubble size or dot placement, to enhance the visualization.
27. You are working as a Microsoft Power BI report designer in a multi-national retail organization. All the organization’s data is hosted on Microsoft Cloud. The company wants to analyze the number of franchises in various regions and the sales amount associated with each franchise. Which map visual is the best choice for this?
- 3D custom maps
- Shape maps
- Azure maps (CORRECT)
28. In a Microsoft Power BI core KPI visual, which chart is automatically plotted when you add the main measure and trend axis to the visual fields.
- Area chart (CORRECT)
- Scatter chart
- Stacked area chart
Exactly! In Power BI, the default KPI chart uses an area chart that is plotted in the background as soon as you add time values to the trend axis field of the visual. This helps display trends and progress over time, complementing the KPI measure.
29. True or False: In Microsoft Power BI, you cannot plot geographical information if the dataset does not have longitude and latitude columns.
- True
- False (CORRECT)
Exactly! In Microsoft Power BI, you can create map visualizations even if the dataset does not contain explicit longitude and latitude columns. Power BI’s map visuals can automatically detect geographical locations based on the data category, such as country, city, or region, making it easier to create location-based visualizations.
30. True or False: Heat maps are not available by default in the core Visualization pane of Microsoft Power BI?
- True (CORRECT)
- False
31. You have a data model containing tables called region, sales, and product. Your task is to present categorical data that shows the correlation between sales and profit for each product category. Which chart type in Microsoft Power BI best suits your purpose?
- Scatter chart
- Bubble chart (CORRECT)
- Dotplot chart
CONCLUSION – Designing Powerful Report Pages
In conclusion, exploring cohesive design principles highlights the profound effect that thoughtful and well-executed design has on user experience and data comprehension. By prioritizing a harmonious and intuitive interface, designers can foster deeper user engagement, facilitate easier navigation, and make complex data more accessible. This improved interaction not only enhances user satisfaction but also strengthens the communication of information. Consequently, cohesive design principles form the cornerstone for creating impactful and meaningful user experiences.