📌 Data color coding is available on all plans.
What Is Color Coding?
Color coding is a feature that highlights values in the cross-tab table that are statistically significantly higher or lower than the average, using color emphasis.
Rather than comparing each number one by one in a complex array of figures, it helps you quickly spot notable values or characteristics of a particular group.
Why Should You Check Color Coding?
1️⃣ Identify important differences at a glance
Finding which values stand out among many numbers is not easy. Color coding lets you quickly spot only the parts where meaningful differences exist, reducing the time spent on analysis.
2️⃣ Never miss key insights
Even small differences that aren't immediately noticeable can carry important meaning. Color coding highlights statistically significant differences, ensuring you don't overlook critical insights.
3️⃣ Data interpretation becomes much easier
Even without specialized statistical knowledge, you can intuitively understand which groups are higher or lower just from the colors alone, making it easy for anyone to interpret the results.
Color Coding Display and Application Criteria
✅ Color display criteria
🔴 Red: Displayed when statistical testing shows that the proportion of a specific group selecting a given value is statistically significantly higher than the proportion of all respondents selecting it.
🔵 Blue: Displayed when statistical testing shows that the proportion of a specific group selecting a given value is statistically significantly lower than the proportion of all respondents selecting it.
✅ Application conditions and settings
Minimum number of responses: Color coding is applied only when there are 30 or more responses.
Confidence level setting: The default confidence level is set to 80%. If you want to check analysis results with a stricter standard (90% or 95%), you can change the confidence level in the right sidebar.
💡 Usage tip | The confidence level is an indicator of how reliable the survey results are. A confidence level of 80% means that if the same survey were repeated 100 times, approximately 80 of those repetitions would yield similar results. As the confidence level increases (e.g., to 95%), the criteria for applying color coding become more stringent.
Do you now have a clear understanding of color coding in cross-tab analysis?
If you have any other questions that this guide didn't resolve, please click the [Customer Support icon] in the bottom right corner of your screen to contact us. Our team will do its best to help resolve any difficulties you're experiencing.