This is a special analysis that will automatically create one analysis for each attribute in the grid and compare the percentage scores of the grid items with the second variable you have selected.
After creating the collections (Click Here to know about how to create a collection) , click on 'Analysis Wizard' (circled in red) to create this cross grid attribute type analysis.
This will open the Analysis Wizard (Click Here to know more about Analysis Wizard). User will need to choose any two questions to run a cross grid analysis.
- The first question i.e. side break should be always a simple grid question.
- The second question i.e. top break can be chosen between Single Choice, Multi Select and Date type questions.
This is because this analysis is created for each attribute in the grid and is compared with the second variable chosen.
Note: User can choose two questions together by clicking on shift+up/down or Continuously press Ctrl key and click on the question to be selected.
Warning: If user chooses first question other than simple grid then it will show an error highlighting it as red. User will then need to click on Clear and start selecting questions again by first selecting simple grid and then either single, multi or date type question.
Let's try to show how this analysis works with the help of an example:
Refer to the screenshot of two questions considered for this example. One is a simple grid and the other is a single choice question:
Select these same questions in the Analysis wizard and click on Next Step.
User has to select the analysis type in the middle section i.e. click on the middle option (highlighted in red) and click on Next Step.
User can select the chart types from the different chart options available or can click on "No Chart" i.e. analysis view in the tabular format. This example shows clicking on 'No Chart'. Click on Finish.
This will create the analysis tables (highlighted in red) on the Home page for all the attributes that were available in the grid.
User then can click on the icons (highlighted in red) to edit the name or delete the analysis. User can click on the analysis name to open its analysis.
Clicking on the first option, will open the "Analyses - Cross Tabulation" screen with the selected table. The table shows that for each combo (like veg singles, veg doubles), what is the rating distribution among all the pizza companies.
The screen contains 3 tabs (highlighted in red):
- Home.
- Weighting.
- Chart.
- Home tab contains below features:
- Edit Filter: User can apply the filter. Click Here to know more about how to use filters.
- Properties: Click Here to know more about what can be done in properties.
- Transpose: Click Here to know how Transpose works.
- Table: Click here will change the view of the analysis from table to chart.
- Weighting tab explains about weighting. Click Here to find out the details about how to apply the weights.
- Chart tab shows all the chart properties available. Click Here to refer this section in details.
"Analyse - Cross Tabulation" screen by default shows the analysis in the tabular format. Description (highlighted in red) shows the 'Attribute' name with the question text by which it is crossed. Side break (highlighted in blue) shows the number of items of the grid and the top break (highlighted in green) shows the number of items of the single choice question.
User can also view the analysis with different measures by toggling to:
- Col% : This is selected by default when the analysis is loaded as shown in the above screenshot.
- Count: Clicking will add an another table showing the counts.
- Row% : Clicking will add an another table showing the row percentage scores.
- Total%: Clicking will add an another table showing the total percentage scores.
Note: Toggle is highlighted after clicking on it which will then add the table below. User can also switch it off by clicking again which will then remove the highlighter and the table.
To switch to the next analysis, user can click on 'Back' (highlighted in red) and can select other analysis. user can click on 'delete' (highlighted in green) to remove this analysis.
