Location only Examples: restaurant locations, coffee shop distribution | - Where are my features located?
- How are they distributed geographically?
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1 numeric attribute Examples: cropland in use, largest urban areas | - How do my features compare to each other based on numeric values?
- Where are the highest and lowest values?
- Which features are above and below a specific attribute value?
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2 numeric attributes Examples: number and rate of single-parent households, global population change | - Where are the highest and lowest values?
- What is the relationship between numeric totals and the rate or ratio?
- Are there any outliers?
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2 to 5 related numeric attributes with the same unit of measurement Examples: highest per capita personal income year, predominant crop harvest by U.S. county and which counties have the highest and lowest total crop yi... | - Which attribute has the highest value compared to other related attributes for each feature? Which has the lowest value?
- How much higher is the highest attribute value compared to other related attributes?
- What is the sum of the attributes for each feature and how does it compare to the other features?
| * for hosted feature layers or feature collections only |
1 category/type attribute Example: city rail lines | - How is my data distributed or summarized by category?
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1 category/type and 1 numeric attribute Example: number of graduate degree holders and distribution by county | - Where are the highest and lowest values?
- How is my data distributed by category?
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1 date/time attribute Examples: street inspections by date, furniture sales by date, old and recent home sales, age of code violation complaint to compliance date | - Where are older features and where are newer ones?
- Which features have dates that are before or after a key date?
- Which features have a higher age (length of time between two dates) and which have a lower age?
| * for hosted feature layers or feature collections only |
2 date/time attributes Example: relationship between age of code violation (how long between complaint and compliance) and how recen... | - Where are older features and where are newer ones?
- Which features have dates that are before or after a key date?
- Which features have a higher age (length of time between two dates) and which have a lower age?
- What is the relationship between the age of features and how old or new they are?
| * for hosted feature layers or feature collections only |
1 date/time attribute and 1 numeric attribute Example: length of time since migrants went missing and locations where migrants were found dead | - Which features have a higher age (length of time between two dates) and which have a lower age?
- What is the relationship between a feature's age and a numeric attribute value?
| * for hosted feature layers or feature collections only |
1 date/time attribute and 1 category/type attribute Example: credit card payments by card type and length of time since payment | - How is my data distributed by category?
- Which features have a higher age (length of time between two dates) and which have a lower age?
- What is the relationship between the age of a feature and its category?
| * for hosted feature layers or feature collections only |