Chapter 3 Business Analytics

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Last updated 1:54 PM on 9/29/26
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79 Terms

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Data visualization

A visual presentation of data used to communicate information clearly and efficiently.

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Cognitive load

The effort needed to accurately and efficiently process information communicated by a data visualization.

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Preattentive attributes

Features of a visualization that help reduce the cognitive load needed to interpret it.

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Main preattentive attributes

Color, size, shape, and length.

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Color

A preattentive attribute that is effective for differentiating data, but overuse can become distracting.

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Size

The relative amount of space an object occupies in a visualization.

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Length

The horizontal, vertical, or diagonal distance of a line or bar/column; useful for showing quantitative values.

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Data-ink ratio

The proportion of ink used for data compared with the total amount of ink in a table or chart.

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Data-ink

The ink in a table or chart that is necessary to convey the meaning of the data.

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Non-data-ink

Ink in a table or chart that serves no useful purpose in conveying the data.

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Decluttering

The process of increasing the data-ink ratio by removing unnecessary visual elements.

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White space

The portion of a data visualization that is devoid of markings.

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When should a table be used?

When readers need specific numerical values, precise comparisons, or when values have different units or very different magnitudes.

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When should a chart be used?

When the goal is to make patterns, trends, or relationships easier to see rather than focus on exact numerical values.

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Chart and table together

Useful when you want readers to see patterns or changes while also being able to reference exact numerical values.

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Crosstabulation

A tabular summary used to describe data for two variables.

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PivotTable

An Excel crosstabulation used to summarize and analyze data.

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PivotChart

A chart paired with a PivotTable that helps summarize and analyze data.

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Scatter chart

A graphical presentation of the relationship between two quantitative variables.

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When is a scatter chart used?

To examine the relationship between two quantitative variables.

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Line chart

A chart useful for representing time-series data.

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When is a line chart used?

To show changes or trends in data over time.

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Bar chart

A chart using horizontal bars to display the magnitude of a quantitative variable.

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Column chart

A chart using vertical bars to display the magnitude of a quantitative variable.

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Bar vs. column chart

Bar charts use horizontal bars; column charts use vertical bars.

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Sorted bar/column chart

A bar or column chart where categories are ordered based on their quantitative values.

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Clustered chart

A bar or column chart that displays multiple categories side-by-side for comparison.

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Stacked chart

A bar or column chart that stacks multiple categories on top of or beside each other to show their combined total and components.

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Clustered vs. stacked charts

Clustered charts make comparing categories easier, while stacked charts emphasize totals and composition.

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Limitation of clustered charts

They can become cluttered when there are more than a few variables per category.

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Pie chart

A chart commonly used to compare categorical data.

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Problem with pie charts

It can be difficult to compare the relative sizes of pie wedges, and color coding may be difficult for some viewers.

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3-D charts

Charts using three-dimensional effects that can make comparisons more difficult and are generally poor choices for data visualization.

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Trendline

A line added to a scatter chart or line chart to show the general trend in the data.

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Bubble chart

A visualization that displays three variables in a two-dimensional graph.

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How does a bubble chart display three variables?

Two variables are represented by the x- and y-axes, while the third variable is represented by bubble size.

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Scatter-chart matrix

A visualization that allows comparison of relationships among multiple variables.

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Table lens

A visualization used to examine relationships between pairs of variables.

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PivotCharts and PivotTables

They can be used together to summarize and analyze data using a crosstabulation and chart.

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Heat map

A two-dimensional graphical representation that uses different shades of color to indicate magnitude.

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Hierarchical data

Categorical data that are further decomposed into subcategories.

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Tree structure

A visualization of hierarchical data where branches lead to categories and subcategories.

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Treemap

A chart using the size, color, and arrangement of rectangles to display a quantitative variable for different categories and subcategories.

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Waterfall chart

A chart that displays the cumulative effect of changes on a variable of interest.

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Waterfall chart columns

The magnitude of each change is represented by a column anchored at the cumulative height of previous changes.

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Stock chart

A graphical display of stock prices over time.

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High-Low-Close stock chart

A stock chart that displays the highest, lowest, and closing prices for a period.

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Parallel-coordinates plot

A chart useful for examining data with more than two variables.

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Parallel-coordinates plot lines

Each observation is represented by a line connecting the vertical axes, with the height showing the value for each variable.

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Choropleth map

A geographic visualization that uses shades of color, different colors, or symbols to show quantitative or categorical geospatial data.

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Choropleth map example

Colors can represent values such as temperature, with warmer colors showing higher values and cooler colors showing lower values.

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Cartogram

A map-like diagram that uses geographic positioning to represent map regions without necessarily preserving land area.

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Cartogram example

A state’s area may be sized according to its population rather than its actual geographic area.

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Weakness of a cartogram

Distortions caused by relative sizing can make the geography difficult or meaningless to interpret.

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Equal-area cartogram

A cartogram designed to provide a balanced visual representation while maintaining fidelity to relative geographic positioning.

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Are cartograms available in Excel?

No.

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Key performance indicator (KPI)

A metric that indicates current operating characteristics.

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Data dashboard

A data visualization tool that displays multiple KPIs and automatically updates as new data becomes available.

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Effective dashboard principle

Show on one screen all KPIs related to one aspect of operations.

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Dashboard scrolling principle

Create multiple dashboards of related KPIs to prevent excessive scrolling.

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Good dashboard KPIs

KPIs should have clear meaning and be related to decisions.

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Dashboard color principle

Use color to call attention and differentiate between categorical variables.

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Purpose of data dashboards

To summarize and communicate a firm's operations visually using multiple KPIs.

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Preattentive attributes and cognitive load

Preattentive attributes reduce the cognitive effort needed to interpret a visualization.

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High data-ink ratio

A visualization contains a high proportion of useful data-related ink compared with unnecessary visual elements.

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Low data-ink ratio

A visualization contains more unnecessary visual elements relative to the information being communicated.

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Table vs. chart

Tables are better for precise values and comparisons; charts are better for visually communicating patterns, trends, and relationships.

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Scatter chart variables

Two quantitative variables.

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Line chart data

Time-series data.

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Bar/column chart purpose

Display the magnitude of a quantitative variable across categories.

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Bubble chart variables

Three quantitative variables.

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Heat map purpose

Show magnitude using different shades of color.

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Treemap purpose

Display quantitative values across categories and subcategories using rectangle size, color, and arrangement.

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Waterfall chart purpose

Show the cumulative effect of changes.

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Stock chart purpose

Display stock prices over time.

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Parallel-coordinates plot purpose

Examine data involving more than two variables.

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Choropleth map purpose

Display geospatial data using color, shades, or symbols.

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Cartogram purpose

Display geographic regions while sizing them according to another variable such as population.

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Dashboard purpose

Display and monitor multiple KPIs in one visual tool.