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The volume of data created, captured, copied, and consumed in 2025 will nearly quadruple that of today. To neatly represent all the analyzed data you need charts and graphs that best describe the hidden information.
In this article, we would learn about some basic chart types and how to choose the right type of chart for your data.
Survey charts are visual representations of the insights you get after data analysis.
By converting this data into a visual survey graph, you can observe trends and patterns in replies, and gain a clearer overall picture of the respondents’ feedback.
Visual representation provides significantly more insight into how your customers and key audiences genuinely feel, as well as practical suggestions for boosting satisfaction and your overall objectives.
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There are several types of charts and graphs you can use to represent significant data for a reader to understand without much thinking. Here are some of the basic chart types used by researchers to demonstrate their findings in a visually appealing way.
Line graphs are used to display continuous data, trends through time, data peaks and valleys, or temporal comparisons.
As a result, they are rarely utilized to graphically express survey findings because most survey questions seek respondents’ opinions at a single point in time rather than across time. However, if you perform the same survey with the same questions and replies over and over again (for example, an annual survey), you might use a line graph to demonstrate how respondents’ attitudes evolve.
A pie chart depicts a fixed number and how categories reflect a portion of a larger whole – the composition of something. A pie chart depicts percentages of numbers, and the total sum of all parts must equal 100%.
Part-to-whole connections are depicted using stacked columns or bar charts. As a result, categories are represented as percentages of the total, and the data in each column (or bar) always adds up to 100%.
For example, you might use this basic chart type to display survey responses broken down by gender or age group.
If you need to show multiple part-to-whole relationships (such as how people in different age groups respond to Squid Game), a stacked column or bar chart would allow you to see the breakdowns by the response and compare those breakdowns across the board.
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When comparing the means or percentages of eight or more separate groups, a horizontal bar chart is utilized.
The horizontal bar chart, like the vertical bar chart, should only be used when comparing mutually incompatible groups.
Vertical bar charts are ideal for comparing the means or percentages of two to seven distinct groups. Each bar is divided by a blank space. As a result, the x-axis should be built on a scale with mutually incompatible categories (like multiple-choice, or check-box questions).
Categories with a continuous scale are more suited for a histogram, but we’ll get to that later. In the case of this basic chart types, respondents could only pick one different option (e.g., daily, weekly…), making its cross-analysis with the other variable ideal for a vertical bar chart.
Histograms, like pie charts, depict the sample distribution in a single dimension. Histograms vary from other types of charts in that they are suited for presenting sample distributions on dimensions measured using discrete intervals. The x-axis, unlike the horizontal and vertical bar charts, is not separated into mutually incompatible groups.
In our example, the histogram shows how many respondents fell into each category of weekly sweets consumption. The x-axis is a continuous scale, and each bar falls within a range of five units, or candy pieces, on that scale.
Here are the three types of charts that you can use for survey questions;
If your survey questions include two binary answers (e.g., yes/no), a pie chart is the most effective visual representation.
The use of pies for binary outcomes is self-explanatory. Simply use a single pie slice to emphasize the proportion of “Yes” replies vs “No” replies.
If you wish to compare the response rates of different groups, avoid pies in favor of a single bar chart. A series of aligned bars are much easier to compare than a series of pie charts. For clarity, remember to identify each bar with its percentage.
You may break up the bars to construct a type of modified 100% stacked bar chart for a fun, less information-dense alternative. This frees up some room for more descriptive labels for both “Yes” and “No” replies.
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Determine your data presentation objectives.
Determine what data is required to reach your goal.
Collect your info.
Choose the appropriate graph or graphic.
Do you wish to persuade or clarify something? Are you attempting to display data that assisted you in solving an issue, or are you attempting to express a change that is occurring?
Different types of data are used in various charts and graphs. Graphs are often used to depict numerical data, whereas charts are visual representations of data that may or may not include numbers.
So, while every graph is a type of chart, not every chart is a graph. If you don’t already have the data you need, you may need to spend some time gathering it before creating your chart.
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Most organizations collect numerical data regularly, but you may need to spend some extra time gathering the appropriate data for your chart. You may require qualitative data in addition to quantitative data tools that track traffic, revenue, and other user data.
Using the incorrect visual aid or selecting the most basic chart types might confuse your audience or lead to incorrect data interpretation.
However, a chart is only beneficial to you and your business if it clearly and successfully expresses your argument.
Choose your graphics with care since they might make your data simpler or more difficult to understand. Use a survey platform, such as Voxco, that allows you to view your data represented in several chart kinds. When presenting survey results, visualizations are quite important. As a result, always plan out the story you want to tell with your data and select the basic chart type to present that information quickly and effectively.
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