Results pane reference

The ArcGIS Business Analyst ProResults 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.

Color-coded layer Results pane animation

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.

Suitability analysis Results pane animation

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 Summary View provides an aggregate-level analysis of the workflow results.

CalculationDescriptionWorkflows

Aggregate-level data

Aggregate-level data is a summarization of data. It can be represented in the form of averages, percentages, or proportionality.

  • Color-coded layer
  • Suitability analysis

Top 5/Bottom 5

Top 5 and Bottom 5 represent the five highest and lowest ranking features.

  • Color-coded layer
  • Suitability analysis

Histogram tab

The Histogram tab Create Histogram 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.

StatisticDescriptionWorkflows

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.

  • Color-coded layer
  • Suitability analysis

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.

  • Color-coded layer
  • Suitability analysis

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.

  • Color-coded layer
  • Suitability analysis

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.

  • Color-coded layer
  • Suitability analysis

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.

  • Color-coded layer
  • Suitability analysis

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.

  • Color-coded layer
  • Suitability analysis

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.

  • Upper bound = Q3 + 1.5(IQR)
  • Lower bound = Q1 - 1.5(IQR)

In the histogram settings, Outliers can be used as a subset selection method.

  • Color-coded layer
  • Suitability analysis

Scatterplot tab

The Scatterplot tab Bubble Chart 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.

CalculationDescriptionWorkflows

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.

  • Suitability analysis

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.

  • Suitability analysis

X-axis

The x-axis in a chart is horizontal, or East-to-West oriented.

  • Suitability analysis

Y-axis

The y-axis in a chart is vertical, or North-to-South oriented.

  • Suitability analysis

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.

  • Suitability analysis

Table tab

The Table tab Table frame gallery provides the results in a tabular and downloadable format.

CalculationDescriptionWorkflows

Rank

A feature's rank for the selected variable within the analysis or area of interest.

  • Color-coded layer
  • Suitability analysis

Final score

A site's final suitability score is calculated by adding the weighted scores for each of the variables used in the analysis.

  • Suitability analysis

Resources

To learn more about the workflows that generate Resultspanes, see the following: