How Do I Decide Which Chart to Visualise my Data with?

 

Editor Note: This is the guest post from Data Visualisation Catalogue project.

So far in my Data Visualisation Catalogue project, Iʼve discovered eighty different ways to visualize data. I have no doubt there will be more. But with such a diverse way of representing your data, how do you know which one to choose? Unless youʼve studied statistics or data analytics, itʼs hard to decide which visualization method to use. You canʼt tell what difference any of them make, apart from how they look.

When deciding on what type of data visualisation method to use, I have found itʼs good to start by thinking what function it needs to serve or what are you looking for in the data.

So say if you wanted to compare discrete values, then typically a Bar Chart would be ideal. But if you wanted to compare values over a geographical region, then a Choropleth Map would be a good choice:

If youʼre looking to explore how your data changes over time, then a Line Graph would be a suited option:

Line graphs are ideal to help give a “big picture” over an interval and to see how it has developed over a period. They can also help reveal any trends/patterns.

Some charts are designed for very specific subjects, like Population Pyramids which use data on sex and age to give insights into a selected population and its demographics:

The shape of a Population Pyramid can show whether you have an aging population (wider top half and narrower base and lower half) or a baby boom (very wide base).

The Takeaway

So when deciding on what chart to use, ask yourself what you want to show. Are you looking to compare data? Show proportions? Patterns or trends? How something changes over time? Or how is the data distributed?

Let Us Know

What type of charts do you like to use and for what purpose? Share your experience in the comments section below. Links to examples are welcome, as well as the tools you commonly use to generate those visualisations.

About the Author: Severino Ribecca is a founder of Data Visualisation Catalogue, a guide to data visualization methods. You may find the LinkedIn profile here.

 

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