Hello all! I'll jump right into it:
I have a single-series chart supplied with a view for total cases closed last_month. The series is by "Site Location". We have 3 actual sites we refer to as "CC" "17" and "T" but our administrator has broken these sites up in CRM so there are multiple Site Locations split up by a wing name or nearby address. Here's a comparison of what I see vs what I'd like to see:
What I'd like to see is cases closed for the entire site in one bar. This can be done easily by creating a list that includes only the Site Locations of one of the Sites. But I can only do one chart for one site at a time. This causes a problem since when I have a dashboard with the Sites separated, the axis values vary and I can't visually compare the performance of the sites.
I can think of two solutions but I don't know how to go about it. The first is to create a chart that lumps together a few columns and aggregates the count. Thankfully, the administrator standardized the Site Location names. I checked the FetchXML for a view that isolates cases based on Site Location "Begins with..." - This was the result:
<filter type="or">
<condition attribute="dell_sitelocationidname" operator="like" value="xxx-cc%" />
<condition attribute="dell_sitelocationidname" operator="like" value="xxx-t%" />
<condition attribute="dell_sitelocationidname" operator="like" value="xxx-17%" />
</filter>So I have the attribute name. Can I aggregate results in a chart using a value like above? And do this with more than one column in a chart?
The other solution I heard of was to create 3 different charts and somehow have them referenced/combined in a 4th separate chart but I have no idea how that would be possible.
This is the current, simple xml. I only changed the alias names, I haven't modified anything else yet:
<visualization>
<visualizationid>{62203035-8ED2-E511-8382-005056AB3BAD}</visualizationid>
<name>By Site</name>
<primaryentitytypecode>incident</primaryentitytypecode>
<datadescription>
<datadefinition>
<fetchcollection>
<fetch mapping="logical" aggregate="true">
<entity name="incident">
<attribute groupby="true" alias="groupby_column" name="dell_sitelocationid" />
<attribute alias="aggregate_column" name="xxx_urgency" aggregate="count" />
</entity>
</fetch>
</fetchcollection>
<categorycollection>
<category alias="groupby_column">
<measurecollection>
<measure alias="aggregate_column" />
</measurecollection>
</category>
</categorycollection>
</datadefinition>
</datadescription>
<presentationdescription>
<Chart Palette="None" PaletteCustomColors="91,151,213; 237,125,49; 160,116,166; 255,192,0; 68,114,196; 112,173,71; 37,94,145; 158,72,14; 117,55,125; 153,115,0; 38,68,120; 67,104,43; 124,175,221; 241,151,90; 186,144,192; 255,205,51; 105,142,208; 140,193,104; 50,125,194; 210,96,18; 150,83,159; 204,154,0; 51,90,161; 90,138,57;">
<Series>
<Series ChartType="Column" IsValueShownAsLabel="True" Font="{0}, 9.5px" LabelForeColor="59, 59, 59" CustomProperties="PointWidth=0.75, MaxPixelPointWidth=40"></Series>
</Series>
<ChartAreas>
<ChartArea BorderColor="White" BorderDashStyle="Solid">
<AxisY LabelAutoFitMinFontSize="8" TitleForeColor="59, 59, 59" TitleFont="{0}, 10.5px" LineColor="165, 172, 181" IntervalAutoMode="VariableCount">
<MajorGrid LineColor="239, 242, 246" />
<MajorTickMark LineColor="165, 172, 181" />
<LabelStyle Font="{0}, 10.5px" ForeColor="59, 59, 59" />
</AxisY>
<AxisX LabelAutoFitMinFontSize="8" TitleForeColor="59, 59, 59" TitleFont="{0}, 10.5px" LineColor="165, 172, 181" IntervalAutoMode="VariableCount">
<MajorTickMark LineColor="165, 172, 181" />
<MajorGrid LineColor="Transparent" />
<LabelStyle Font="{0}, 10.5px" ForeColor="59, 59, 59" />
</AxisX>
</ChartArea>
</ChartAreas>
<Titles>
<Title Alignment="TopLeft" DockingOffset="-3" Font="{0}, 13px" ForeColor="59, 59, 59"></Title>
</Titles>
<Legends>
<Legend Alignment="Center" LegendStyle="Table" Docking="right" IsEquallySpacedItems="True" Font="{0}, 11px" ShadowColor="0, 0, 0, 0" ForeColor="59, 59, 59" />
</Legends>
</Chart>
</presentationdescription>
<isdefault>false</isdefault>
</visualization>