MSP Bank | QuickSight for Self-Data Discovery

QuickSight for Self-Data Discovery

Question

MSP Bank, Limited is a leading Japanese monetary institution that provides a full range of financial products and services to both institutional and individual customers.

It is headquartered in Tokyo.

MSP Bank is hosting their existing infrastructure on AWS.

MSP bank has many segments internally and they are planning to launch a self-data discovery platform running out of AWS on QuickSight. Using QuickSight, multiple datasets are created and multiple analyses are generated respectively.

The Team is working on visuals.

The team is planning to use a Chart to visualize a two or three measures for a dimension in the form of bubbles.

select 1 option.

Answers

Explanations

Click on the arrows to vote for the correct answer

A. B. C. D.

Answer: A.

Option A is correct - Use scatter plots to visualize two or three measures for a dimension.

Each bubble on the scatter plot represents one item in the dimension.

The X and Y axes represent two different measures that apply to the dimension.

A bubble appears on the chart at the point where the values for the two measures for an item in the dimension intersect.

Optionally, you can also use bubble size to represent an additional measure.

https://docs.aws.amazon.com/quicksight/latest/user/scatter-plot.html

Option B is incorrect -Use heat maps to show a measure for the intersection of two dimensions, with color-coding to easily differentiate where values fall in the range.

Heat maps can also be used to show the count of values for the intersection of the two dimensions.

https://docs.aws.amazon.com/quicksight/latest/user/heat-map.html

Option C is incorrect - Use pie charts to compare values for items in a dimension.

Each wedge in a pie chart represents one item in the dimension.

Wedge size represents the proportion of the value for the selected measure that the item represents compared to the whole for the dimension.

Pie charts are best when precision isn't important and there are few items in the dimension.

https://docs.aws.amazon.com/quicksight/latest/user/pie-chart.html

Option D is incorrect -Use tree maps to visualize one or two measures for a dimension.

Each rectangle on the tree map represents one item in the dimension.

Rectangle size represents the proportion of the value for the selected measure that the item represents compared to the whole for the dimension.

You can optionally use rectangle color to represent another measure for the item.

Rectangle color represents where the value for the item falls in the range for the measure, with darker colors indicating higher values and lighter colors indicating lower ones.

https://docs.aws.amazon.com/quicksight/latest/user/tree-map.html

The best option for visualizing two or three measures for a dimension in the form of bubbles is a Scatter Plot.

A scatter plot is a graph that displays values for two or more variables for a set of data. The data is displayed as a collection of points, each having the value of one variable determining the position on the horizontal axis and the value of the other variable determining the position on the vertical axis.

Scatter plots are ideal for visualizing the relationship between two or three measures in the form of bubbles. In this case, the size of the bubble can be used to indicate the value of a third measure. The position of the bubble on the graph can represent two other measures, creating a bubble chart.

Heat maps are used to visualize data that is arranged in a matrix form. They show the data using color-coding, where darker colors represent higher values and lighter colors represent lower values. Heat maps are not suitable for visualizing measures in the form of bubbles.

Pie charts are used to show the proportion of different categories in a dataset. They are not suitable for visualizing measures in the form of bubbles.

Tree maps are used to display hierarchical data using nested rectangles, with the size of each rectangle representing the value of a particular measure. They are not suitable for visualizing measures in the form of bubbles.

Therefore, the most suitable option for visualizing two or three measures for a dimension in the form of bubbles is a Scatter Plot.