The ArcGIS Business Analyst Web App 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 hover over a bar in the histogram or a cell in the table, its corresponding site is 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.
Colorcoded maps example
A healthcare provider in western Pennsylvania is researching population density. The organization is creating a colorcoded map to identify areas that have a dense population and could benefit from vaccine popup locations. In the colorcoded map workflow, the organization uses the variables Total Population and Population Density. The results populate in the map and in the results pane, which shows a summary, histogram, and table.
Watch the animation below to explore the colorcoded map results pane.
Smart map search example
A housing justice nonprofit in western Pennsylvania is researching housing affordability and availability. The organization is using smart map search to find areas that need investment. In the smart map search workflow, the organization uses the variables from the Housing list, which include Median Home Value, Average Household Size, Total Housing Units, Percent of Income for Mortgage, and Housing Affordability Index. The results populate in the map and in the results pane, which shows a summary, histogram, bubble chart, and table.
Watch the animation below to explore the smart map results pane.
Suitability analysis example
A smallbusiness owner of laundry facilities is interested in expanding into new markets. The business owner has analyzed what factors have contributed to a successful facility, such as parking spots, areas with a high percentage of renteroccupied housing, and areas with relatively high population density. The business owner uses these criteria to perform a suitability analysis analyzing block groups in Dane County, Wisconsin. The sites' suitability scores are returned in two places: colorcoding of the block groups on the map and in the results pane, which shows a summary, histogram, bubble chart, and table.
Watch the animation below to explore the suitability analysis results pane.
To create this example yourself, see the Expand a small business tutorial.
Points of interest (POI) search example
A cinema in New Orleans, Louisiana, is looking to expand into new territory and is seeking to gain an understanding of the current competitive landscape. They perform a points of interest (POI) search for cinemas and related POIs. The results populate in the map and in the results pane, which shows a summary, histogram, bubble chart, and table.
Note:
The results pane shows a histogram and bubble chart only when using Data Axle as the data source.
Watch the animation below to explore the points of interest (POI) search results pane.
Calculations
The information in the results pane has a statistical methodological background. The underlying statistical concepts used in each tab of the results pane are described in more detail below.
Summary tab
The Summary tab provides an overview of aggregatelevel analysis of the workflow. For instance, it lists the overall number of geographies analyzed and trends in the data.
Calculation  Description  Workflows 

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

Top 5/Bottom 5  Top 5 and Bottom 5 represent the five highest and lowest ranking locations. 

Trends  Trends represent how the data variable has changed over time, if timeseries data is available for the variable. 

Rank  The rank of a site is how that site's final score compares to other sites in the analysis. The better the final score, the higher the rank of the site. 

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

Histogram tab
The Histogram tab provides an interactive histogram visualizing the variables or attributes used for the selected geography. A histogram is a graphical representation, similar to a bar chart, that represents the distribution of the data.
Calculation  Description  Workflows 

Standard deviation  Standard deviation is the measure of how much variation exists in a variable or attribute, compared to its mean. Increasing the standard deviation (SD) represents an increase in variation to the mean, and therefore a greater range of data points. Decreasing the standard deviation (SD) represents a decrease in variation to the mean, which narrows the data points used and may be more accurate. 

Outliers  Outliers represent data points or values that are in an abnormal range and do not follow the pattern of the rest of the data. 

Bubble chart tab
The Bubble chart tab provides a bubble chart or scatterplot visual representation of the data. A bubble chart and scatterplot plot points on an x and yaxis 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 

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. 

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. 

Xaxis  The xaxis in a chart is vertical, or NorthtoSouth oriented. 

Yaxis  The yaxis in a chart is horizontal, or EasttoWest oriented. 

Regression line  In statistics, a regression line is a straight line that is used in a data visualization (like 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 yintercept. 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 Rsquared (R2) value. 

Table tab
The Table tab provides the data results in a tabular and downloadable format.
Calculation  Description  Workflows 

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

Weighted score  The weighted score for each variable is calculated as a percent difference between the value for a given site and the target value selected by the user. A site's final suitability score is calculated by adding the weighted scores for each of the variables used in the analysis. 

Resources
To learn more about the workflows that generate results panes, see the following: