Change style of layer in WebApp map using multiple attributes

KarolinaKorzeniowska

I would like to Change Style Change style—ArcGIS Online Help | ArcGIS  of my Shapefile (point) layer in my WebApp map Make your first map—ArcGIS Online Help | ArcGIS . I would like to display my data according to two attributes: symbol size using one attribute and the color ramp  according to second attribute. I know that it is possible to do in ArcMap, but in ArcGIS online I cannot find this option. Is it possible to do this in ArcGIS online?

AdrianWelsh

Karolina,

I know this is a very old thread but the answer can be found in the chart listed at this link:

http://doc.arcgis.com/en/arcgis-online/create-maps/change-style.htm#ESRI_SECTION1_195BD40347774AEDAEC373A7A0898A80

To map this data...	And answer questions like these...	Choose one of these styles
Location only Examples: restaurant locations, coffee shop distribution	Where are my features located? How are they distributed geographically?	Location (Single symbol) Heat map (point features only)
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?	Counts and Amounts (Color) Counts and Amounts (Size)
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?	Color & Size Compare A to B
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 yields	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?	Predominant Category* Predominant Category & Size* * 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?	Types (Unique symbols)
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?	Types & Size
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?	Continuous Timeline (Color)* Continuous Timeline (Size)* Age (Color)* Age (Size)* * 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 recently the violations occurred	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?	Color (Age) & Size* Color & Size (Age)* * 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?	Color (Age) & Size* Color & Size (Age)* * 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?	Types & Size (Age)* * for hosted feature layers or feature collections only