The ArcGIS Business Analyst Pro Results pane displays the results of analysis through data summaries, visualizations, and a table. The data visualizations and table are interactive. For instance, if you select a bar in the histogram or a cell in the table, its corresponding features are highlighted on the map.
You can access the Results pane within the following workflows:
Examples
The following scenarios provide examples of organizations using the Results pane in various workflows.
Color-coded layer example
A small-business owner of laundry and dry-cleaning facilities is interested in expanding into new markets. They start the expansion process by analyzing successful stores in existing markets, mapping their current facilities and creating a color-coded layer that shows the percentage of renter-occupied housing units around these locations. They notice that two stores are in areas with a relatively high percentage of renter-occupied housing units, which is indicated by red shading. They select these two stores for further exploration to understand how they perform in areas with high renter housing.
To create this example yourself, see the Expand a small business tutorial.
Suitability analysis example
A GIS analyst in the Atlanta metropolitan area is tasked with identifying socioeconomically vulnerable neighborhoods in Gwinnett County. To accomplish this goal, they'll use the suitability analysis workflow to show areas that should be prioritized for intervention based on income, housing stability, employment opportunities, and more. They enrich census tracts with relevant demographic information and use suitability analysis to calculate socioeconomic vulnerability scores for each tract. The results may shape policies and programs aimed at reducing disparities and fostering equity.
To create this example yourself, see the Prioritize intervention with suitability analysis tutorial.
Calculations
The information in the Results pane has a statistical methodological background. The statistical concepts used on each tab of the Results pane are described below.
Summary tab
The Summary tab 
provides an aggregate-level analysis of the workflow results.
| Calculation | Description | Workflows |
|---|---|---|
Aggregate-level data | Aggregate-level data is a summarization of data. It can be represented in the form of averages, percentages, or proportionality. |
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Top 5/Bottom 5 | Top 5 and Bottom 5 represent the five highest and lowest ranking features. |
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Histogram tab
The Histogram tab 
provides an interactive histogram visualizing the variables or attributes used in the analysis layer. A histogram is a graphical representation, similar to a bar chart, that represents the distribution of the data.
| Statistic | Description | Workflows |
|---|---|---|
Median | The median is the middle value in a sorted list of values. If there is an even number of values, the median is the mean between the two middle values in the distribution. The median is indicated by a line on the histogram and is shown when using the Percentage and Outliers subset selection methods. |
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Percentage | A value between 1 and 24 in increments of 1 that represents a percentage. In the histogram settings, Percentage can be used as a subset selection method. The data can be divided into subsets by a specified percent value. |
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First Quartile (Q1) | The value of the first quartile in the data. The first quartile is the value of the 25th percentile: the upper limit of the lowest quarter of the data in ascending order. |
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Third Quartile (Q3) | The value of the third quartile in the data. The third quartile is the value of the 75th percentile: the upper limit of the lowest three-quarters of the data in ascending order. |
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Mean | The mean is the average value in a distribution, calculated as the sum of the values divided by the total count of values in the data. |
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Standard deviation | The standard deviation is a measure of the spread of the distribution. It is calculated as the square root of variance, in which the variance is the average of the squared difference of each value from the mean of the attributes or variables. In the histogram settings, Standard deviation can be used as a subset selection method. The data can be divided into subsets by a specified value of standard deviations, from 0.5 to 5, in increments of 0.5. |
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Outliers | Outliers are calculated using the interquartile range (IQR). Outliers are values that are 1.5 times the IQR above the third quartile and values that are 1.5 times the IQR below the first quartile.
In the histogram settings, Outliers can be used as a subset selection method. |
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Scatterplot tab
The Scatterplot tab 
provides a scatterplot or bubble chart visual representation of the data. Scatterplots and bubble charts plot points on x- and y-axes to represent the distribution of data. In a bubble chart, the size of the plotted point is proportional to the value of the data.
| Calculation | Description | Workflows |
|---|---|---|
Scatterplot | A scatterplot plots points on an x- and y-axis to represent the distribution of data. In a scatterplot, the size of each plotted point is standardized. |
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Bubble chart | A bubble chart plots points on an x- and y-axis to represent the distribution of data. In a bubble chart, the size of the plotted point is proportional to the value of the data. |
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X-axis | The x-axis in a chart is horizontal, or East-to-West oriented. |
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Y-axis | The y-axis in a chart is vertical, or North-to-South oriented. |
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Regression line | In statistics, a regression line is a straight line that is used in a data visualization (such as a scatterplot) to represent how variables correspond with each other. A regression line is calculated with a formula, in which y = mx + b. In this formula, the m variable represents the slope of the regression line, and the b variable represents the y-intercept. Data analysts use a regression line to understand the trends in the data and estimate or predict what a value could be. To measure how close data is to the regression line, use the R-squared (R2) value. |
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Table tab
The Table tab 
provides the results in a tabular and downloadable format.
| Calculation | Description | Workflows |
|---|---|---|
Rank | A feature's rank for the selected variable within the analysis or area of interest. |
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Final score | A site's final suitability score is calculated by adding the weighted scores for each of the variables used in the analysis. |
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Resources
To learn more about the workflows that generate Resultspanes, see the following: