Business Intelligence with Microsoft Power BI - with Material - Scatter Plot in Power BI

The video tutorial explains how to create and enhance a scatter plot in Power BI, highlighting it as the only default animation chart. It covers the steps to plot sales and profit data, add labels for better readability, and use size and legend features for visual differentiation. The tutorial also demonstrates how to animate the scatter plot using the play axis and date hierarchy to analyze trends over time.

What is unique about scatter plots in Power BI compared to other default charts?

• They are the only charts with animation by default.

• They are the only charts that support real-time data updates.

• They are the only charts that can be exported to Excel.

• They are the only charts that can display 3D visuals.

What is the primary purpose of creating a scatter plot in Power BI?

• To display a bar chart of sales figures.

• To generate a line graph of time series data.

• To create a pie chart of categorical data.

• To visualize the relationship between two numerical values.

How can you identify numerical columns in Power BI?

• By looking for columns with a summation icon.

• By identifying columns with a filter icon.

• By finding columns with a lock icon.

• By checking for columns with a star icon.

What does increasing the size of bubbles in a scatter plot indicate?

• Higher sales figures.

• Higher number of subcategories.

• Higher profit margins.

• Higher quantity values.

How can you differentiate categories in a scatter plot?

• By applying different colors using the legend.

• By using different shapes for each category.

• By changing the background color of the plot.

• By using different fonts for each category label.

What feature allows scatter plots to show data trends over time?

• The export option.

• The data slicer.

• The filter pane.

• The play axis feature.

What is the benefit of using date hierarchy in scatter plot animations?

• It provides a detailed view of daily data.

• It allows for real-time data updates.

• It enables exporting data to other formats.

• It simplifies the visualization of trends over years.