Adjusting words displayed for an individual cloud
It is best to duplicate a system-generated variable and then edit your new variable. You can then use this variable in analyses. Click to show the list of analysis variables. The dialog below shows the automatically created analysis variables starting AV.Q9. The AV part of the name tells you it is an auto category variable. […]
Finding the auto category variables used by an analysis
When a word cloud is created, an Analysis variable is created to hold the sorted word categories. You can find out which auto category variable is used by looking at the sources for an analysis Select the word cloud in the list of analyses. Click on the Analyses window toolbar to see what the sources […]
Changing the default stop words
You may find that you want to exclude particular words from your word clouds. You can do this by changing the default stop word list. The stop word list consists of a text file consisting of all the words you want to exclude. Default stop word files are supplied for multiple languages. Note that if […]
Creating a word cloud from a cross-tabulation
You can break your word cloud down by the responses to another variable. For example, this shows food orders by gender. Add a legend to your word cloud If you wish, you can change the font, font color and space around the legend. The legend is previewed at the bottom right of the dialog.
Creating a word cloud of values, dates or times
You can create a word cloud of quantity, date or time responses using the cloud analysis type.
Creating a word cloud of literal responses
You can create a word cloud of literal responses using the cloud analysis type. Setting up which words are shown in the cloud Because the words are collected from all responses, there may be some that are not helpful to have in your cloud. You can choose which words are shown in your cloud. You […]
Overview of word clouds
Word clouds are visual summaries that turn text from your survey’s open-ended responses into a readable image. They highlight the most frequent words by displaying them in larger, bolder fonts. They can help you spot important themes and patterns easily and make qualitative data more engaging for presentations and reports. Creating a simple word cloud […]
Displaying counts and percentage figures on a bar chart
Bar charts normally display one value per bar. You can choose whether this is: the count (number of respondents who chose that response) the percentage (number of respondents as a percentage of the total) If you want to display both the counts and the percentage value, you need to pass in the counts and use […]
Creating a combination chart to display respondent means as points and bars
You can create a combination chart to compare the means of groups of respondents in a satisfaction survey with the mean responses of all respondents. This example uses the data provided in the Crocodile Rock Cafe survey supplied with Snap XMP Desktop to display the average satisfaction for men and women at the Crocodile Rock […]
Using gap analysis to interpret importance with satisfaction
Gap analysis shows the difference between how important attributes are to your respondents and how satisfied they are with those attributes. By comparing importance and satisfaction scores on your chart you can use gap analysis to identify priorities for improvement. If the importance bar is longer than the satisfaction one there may be a problem. […]