Chart types for surveys – a comprehensive overview

Inhaltsverzeichnis

Table of contents

In today’s data-driven society, surveys are a key means of gaining insights – whether in opinion polling, market research, or scientific studies.

But numbers alone do not tell the whole story: only through successful visualization can data be made understandable, interpretable, and convincing.

Diagrams play a key role in this process. They reveal connections, highlight trends, and provide a quick overview of complex issues.

But not every diagram is equally suitable for every type of survey result.

This article introduces the most important types of diagrams and shows when each type is particularly useful.

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Inhaltsverzeichnis

Pie chart

A pie chart is a graphical representation that shows the proportions of a whole in a circle.

The circle represents 100%, and each “pie slice” area represents a specific proportion or category.

pie chart
  • Advantage: Easy to understand, clear representation of proportions
  • Disadvantage: Confusing when there are more than 4–5 categories

Bar chart

A bar chart is a graphical representation in which data values are illustrated by horizontal or vertical bars.

The length of the bars represents the respective value of a category.

  • Advantage: Comparison of categories, even with many values.
  • Disadvantage: Small differences are difficult to see.

Column chart

A column chart is the vertical version of a bar chart: instead of horizontal bars, vertical columns are used to represent data.

The height of each column corresponds to the respective value of a category.

bar chart
  • Advantage: Clear structure, suitable for time comparisons
  • Disadvantage: Limited overview with many groups

Scatter plot

A scatter plot displays data as individual points in a coordinate system.

Each point represents a pair of values from two variables – e.g., income and age or height and weight.

  • Advantage: Ideal for correlation analyses
  • Disadvantage: Statistical knowledge required

Histogram

A histogram is a special bar chart used to represent the frequency distribution of metric (numerical) data.

The values are divided into intervals (classes), and the frequency (number of values) is represented as a bar for each interval.

  • Advantage: Clear analysis of distributions
  • Disadvantage: Not suitable for categorical data

Stacked bar or column chart

A stacked bar or column chart is an extension of the classic bar or column chart.

Several data series are displayed on top of each other (stacked) in a single bar or column.

Each “layer” in the stack represents a partial value—together they add up to the total value.

Stacked bar or column chart
  • Advantage: Display of compositions
  • Disadvantage: Quickly becomes confusing with many segments

Area chart

An area chart is a variant of the line chart in which the area under the line is filled in.

This not only shows the trends in the data, but also emphasizes the proportions over time or across categories.

  • Advantage: Shows overall development and its composition
  • Disadvantage: Overlapping can be confusing

Box plot (box-and-whisker plot)

A box plot (also known as a box-and-whisker plot) is a statistical graph used to represent the distribution of metric data. It shows at a glance:

  • Central tendency (median),
  • Dispersion (quartiles),
  • and Outliers.

The representation consists of a box and two “whiskers” (line arms) that summarize the data distribution.

  • Advantage: Statistically meaningful, shows dispersion
  • Disadvantage: Requires explanation for laypeople

Radar or web chart

A radar or web chart (also known as a spider chart) is a graphical representation in which several variables are displayed on axes that radiate from a common center point.

The values are plotted along these axes and then connected to each other, creating a multi-sided area in the web.

network diagram
  • Advantage: Comparison of several features at a glance
  • Disadvantage: Confusing when there are many axes

Word cloud

A word cloud is a graphical representation of words in which the frequency of a term is visualized by its font size: the more often a word is mentioned, the larger it appears.

  • Advantages: Makes it easier to recognize patterns in free-text responses.
  • Disadvantages: More qualitative than quantitative—no exact values can be identified.

Likert diagram

A Likert diagram shows the results of scale questions in surveys where participants indicate their agreement or disagreement with statements – usually on a 5- or 7-point scale (e.g., from “strongly disagree” to “strongly agree”).

  • Advantage: Shows the distribution of opinions at a glance
  • Disadvantage: The intervals between the scale points are often assumed to be equal, although they are not necessarily so.

Conclusion

The selection of the appropriate chart type depends on the type of data and the purpose of the visualization. While bar, column, and pie charts are commonly used for closed questions, line charts provide insights into developments over time.

Likert charts are ideal for opinion polls, and word clouds add a creative, visual dimension to open-ended questions.

A cleverly chosen chart not only makes complex data understandable—it also tells a compelling story.


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