7 types of Graphs for Visualising Data

Learn how to choose the perfect chart for your data from 7 different options - let your data do the talking!

Looking for the perfect way to represent your data visually and clearly? Look no further! In this article, we will introduce you to seven different types of graphs so you can choose the option that best suits your needs. From classic statistical graphs to more creative options, here you will find everything you need to make your data clear and eye-catching.

1. Line graph

The line chart is ideal for showing trends over time. It is perfect for data that has a sequential relationship, such as the evolution of sales over months or the growth of a population over several years. The smooth line draws a connection between data points, making it easy to identify patterns and changes over time.

2. Bar chart

The bar chart is one of the most common types of graphs. It is excellent for comparing different categories or showing the distribution of discrete data. Each bar represents a specific category and its height corresponds to the value it represents. It is ideal for visualising data that is not necessarily ordered sequentially.

3. Scatter plot

The scatter plot is ideal for visualising the relationship between two sets of data. Each point on the graph represents an individual observation, with the x- and y-axis showing different variables. It is useful for identifying patterns, trends or correlations between variables.

4. Stacked area plot

The stacked area chart is ideal for showing the composition of a total over time or between different groups. Each area in the graph represents a part of the total and the areas are stacked on top of each other to show how each part contributes to the whole. This is useful for highlighting changes in composition over time or between different groups.

5. Grouped bar chart

Similar to the traditional bar chart, the clustered bar chart is used to compare different categories across multiple groups. Instead of stacking the bars, each group has its own bars that are placed side-by-side, making it easier to directly compare between groups.

6. Pyramid graph

The pyramid chart is a creative way to visualise the distribution of data, especially when dealing with demographic or population data. It is used to show the percentage structure of a population or group, with the bars tapering up or down to represent decreasing or increasing proportions.

7. Pie chart

The pie chart, also known as a pie chart, is ideal for showing the proportion of parts of a whole. Each section of the circle represents a category and the size of each section corresponds to its proportion of the whole. It is useful for highlighting important parts of a data set in relation to the whole.

Choosing the right chart will depend on the type of data you are trying to visualise and the message you want to convey. With these seven options, you'll have all the tools you need to make your data come alive and tell a compelling story.

In addition, here are some links to help you get even deeper into the world of statistical graphics:

- Data Visualization and Information Design: Create a Visual Model
- Introduction to Data Visualization
- Best 6 Mood Board Tools