About charts

Values for indicators Indicators are the impact or performance measures that help people choose alternatives that best match their objectives or desired outcomes. An indicator is a calculated value that represents the impacts or outcomes of a scenario. Indicator results are automatically recalculated as you experiment with alternatives and the results can be displayed in a chart. Indicators apply to an entire scenario. An indicator might be used to evaluate costs, revenues, average household size, "community benefit", or total daily auto trips. and assumptions An assumption is a value that is used as input to an analysis and it is often changeable. Assumptions apply to an entire scenario. For example, your assumptions about water consumption per household will impact the indicator for total water consumption for a scenario. Assumptions can also be a way to express subjective inputs, such as how much weighting to give to a particular community value like open space or economic development. Output values that depend on a particular assumption are automatically updated when the assumption is changed and you click the Apply button. are automatically calculated as you experiment with alternatives and the results can be displayed graphically in a chart.  Charts are dynamically linked to assumptions and indicators.  As changes are made in the analysis, chart displays will update automatically to reflect analysis results.  Hatched areas on bar charts show the chart’s previous value.  Target lines and threshold lines may be included to provide reference points or comparisons.  Charts can contain a single analysis value or many values from the same scenario.  They can also display values from different scenarios for comparison.

Chart display features

 

Bar charts

A bar chart illustrates differences among individual values allowing you to focus on comparing items.  Bar charts are useful for comparisons of data.

 

 

 

 

 

Line charts

A line chart shows trends in data at equal intervals.  Line charts are useful for finding and comparing trends (changes over time).

 

 

 

Pie charts

A pie chart shows proportional relationships (relative amounts). Pie charts are useful when you want to show relevant percentages.

 

 

Point charts

A point chart shows the related data points that are plotted in a chart.  This chart shows uneven intervals of data.  Point charts are useful for conveying an overall impression of the relationship between variables.

 

 

 

 

Doughnut charts

Like a pie chart, a doughnut chart shows the relationship of parts to a whole.