There are many survey chart types that can serve to display survey responses. Choosing the right chart for a survey results report can be challenging.
This is often due to a lack of understanding of the characteristics of different chart types. As a result, many people visualize their survey report data in one of two ways.
They may pick the nicest-looking charts. Or they overload their report with the usual vertical bar and pie charts.
A pie chart, line chart, bar graph, or a stacked column chart can clearly communicate your findings. But, depending on the features and complexity of the survey results report, some charts may be more useful than others.
This is why it is important to know which survey chart types to use. Knowing when and how to use them is especially vital when working with multivariate data.
Chart Types For Displaying Survey Results
This article examines some of the most popular chart types that you can use for survey data visualization.
Visualizing Survey Data With A Pie Chart
An Overview Of Pie Charts
Pie charts are among the most popular chart types used for comparing survey results.
Each arc of a pie chart is outlined by creating outspread lines. These emanate from the circle’s focal point to its closures.
This results in the creation of wedge-shaped slices in the pie chart.
Uses Of Pie Charts
Pie charts are best used to represent groups of survey results data that contribute to a whole. In essence, a pie chart displays the different shares of nominal and ordinal data.
It is ideal for expressing individual variables to the benefit of the reader. It is also useful for assessment purposes.
Nominal data is data that can divide into categories, e.g. demographic information. Ordinal data is similar but is also on a scale or ranked.
For example, customer survey responses may rank their opinions or experience from “Very Good” to “Very Poor”. This would be ordinal data.
Guidelines For Creating Pie Charts
Optimize pie charts by arranging the data in a clockwise manner, largest to smallest. An exception to this guideline is when survey results have an “other” category.
This category may produce several different responses. Yet they all make up a single wedge of the pie chart.
Regardless of the size of this wedge, always place it last in the clockwise sequence.
Also, be strategic when choosing the color for each wedge of your pie chart.
Use the darkest color for the first, largest slice. Then gradually move to the lightest color for the last, smallest slice.
Displaying Your Survey Results Report Using A Line Chart
An Overview Of Line Charts
Line charts use data values that correlate to respondents’ answers. Line charts are great for running surveys repeatedly.
Uses Of Line Charts
A line chart is useful for displaying comparisons, peaks, or trends over time. It’s great for measuring the long-term movement of empirical statistics for any organization.
A line chart is also useful for comparing two different variables over a period of time. For example, a line chart could illustrate the relationship between:
- Increased governmental promotion of health and wellness and a drop in the sale of sugary products over a 5-year span.
Best Practices When Using Line Charts
Add descriptive labels to the chart to put the data in context. This ensures that the data is not lost in translation or misinterpreted by your audience.
Use these labels to show the conclusions and implications of the data in your survey chart.
Be sure to use enough data points to facilitate a proper extraction of trends. But, to ensure readability try to limit the number of data labels on the x-axis to 5.
Improve the chart’s visual appeal by increasing the height of the y-axis. It should match the highest value point in the line chart.
Visualizing Survey Results With Vertical Bar Charts
An Overview Of Vertical Bar Charts
It’s possible to separate each bar with a blank space. With this format, base the x-axis on a scale with mutually exclusive categories, such as:
- Multiple choice
- Check box questions
Categories based on a continuous scale are better suited for a histogram.
This type of chart is best suited for comparing between 2 to 7 different groups of percentages or means. Too many categories would increase the width of the bar graph making it hard to read or display on the screen.
It is best to use only a handful of categories in a vertical bar chart.
There is a less information-dense alternative. Try splitting up the bars to create a modified 100% stacked bar chart.
This will produce more space for labels, especially for “Yes” and “No” responses.
Illustrating Survey Results With Horizontal Bar Charts
An Overview Of Horizontal Bar Charts
A horizontal bar chart is great for illustrating survey results with multiple categories.
The structure of the graphs improves readability. This is because the bars extend along the x-axis instead of up the y-axis.
Thus, the x-axis carries the scale. The y-axis displays the different response categories of the survey results report.
Uses Of Horizontal Bar Graphs
Horizontal bar graphs are best suited for survey report categories with long names. These are hard to fit beneath an upright bar graph.
Guidelines For Using Horizontal Bar Graphs
Display all bar labels horizontally so that viewers won’t need to tilt their heads to read them. Try not to include the answer option “Other.”
When using nominal data, try to arrange each bar category from largest to smallest. This improves the readability and visual appeal of the graph.
For ordinal data, arrange the bar categories in the proper order regardless of which was the most common answer. For example, “Very Poor,” “Poor,” “Good,” “Very Good.”
Displaying A Survey Results Report Using A Choropleth Map
Overview Of Choropleth Maps
Image source: xdgov.github.io/
Creating visual representations of survey data that include demographics and other results? Do you want to visualize data from the survey results report for analytical purposes?
Using a choropleth map is a fun way to add demographics to the infographic.
Usefulness Of Choropleth Maps
Use choropleth maps to display data distribution by:
- Different age groups
- Geographic location
- Income level
Choropleth maps do not demand any reading. That’s because each data value can be represented by a different shade of a particular color.
Therefore, this survey chart is ideal for presenting complex survey results.
For simpler demographic data, use an icon chart. This adds more impact to simple survey results, such as:
- A design feature
With choropleth maps, focus on the important survey results. Use reports or white papers for more in-depth summaries.
Data visualization is about simplification and presentation. So only add supporting data if it is necessary.
Using Word Clouds To Display Survey Results
Overview And Usefulness Of Word Clouds
How can you create a visual representation of survey questions that do not have preset answers?
One way is to utilize word clouds to visualize data for open-ended responses. With this chart type, group respondents’ answers using:
- Common keywords
- Another connecting factor
For instance, a survey may ask why respondents rarely purchase a particular product. Depending on their answers, the word cloud may include expressions like:
- Shipping time
- Customer service
- Selection, etc.
Guidelines For Using Word Clouds
Frequently expressed responses should display in the largest font. Each subsequent response should carry a sequential decrease in size.
This chart type is best used to display a lot of data that is easy to understand in context.
Ensure the phrases in the word cloud visualization make sense when displayed together. If the words and phrases don’t relate to each other the word cloud will be useless.
Word clouds are ideal for audiences with little exposure to statistical analysis or data-heavy tables. Identify the most recurring keywords and plug these into the word cloud generator.
Ending thoughts on survey chart types to use for your reports
Do you want to create attractive, informative, and understandable survey charts? Do you want to visualize a survey results report in a way that the audience will appreciate?
To get started, go to wpDataTables and click “create a Table.” Then select “Create a table linked to an existing data source,” and tap “Next”.
Select “Forminator Form”. Then choose a quiz, poll, or form from the “Choose a Forminator Form” select-box.
When the box “Choose fields to show as columns” appears, select the quiz, form, or poll fields to use as columns.
We detailed this process further in an article which you can check out.
If you enjoyed reading this article on survey chart, you should check out this one on survey graph maker.