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Visualising and analysing data

Presenting your data in meaningful ways can make a world of difference

The Data Practice team has been tasked with building data maturity within NSW Government. We’ve been experimenting with tools and technologies, working to support agencies with their specific needs involving data and insights. A reoccurring theme in our discussions has been around how to prepare meaningful data visualisations.

We all know that the way you present your data can make a world of difference.  Whether it’s graphs, charts or infographics, the way it’s visualised impacts how the audience understands and analyses trends or inconsistencies in the underlying data. But, even seasoned data experts can falter when it comes to visually representing their information, so I’ve put together some tips to lead you to data visualisation success.

Understand your data

Before you start compiling a visualisation of your data, it’s a good idea to invest some time in understanding what your metrics mean. If you don’t understand what your data is telling you, it’s unlikely that your audience will!

Remember your audience

Who is the visualisation for? Why are they looking at it? Building a visualisation with the needs of your audience in mind is arguably the most important part of the process. After all, what use is a pretty visualisation if nobody looks at it, or worse, they look at it and don’t see any value in it?

Keeping your audience in mind will help you tailor the content to their needs. And if you’re not sure, you could always ask! Consulting your audience in the development phase of a prototype is a great way to make sure you stay on track. Remember, you may need to build multiple visualisations for various stakeholders based on the same dataset; sometimes one size just doesn’t fit all.

Clean data is good

Invest time in cleaning your data set before you start work on a visualisation. Trust me, there is nothing worse than coming up with a beautiful visualisation only to realise that the underlying data is full of gaps, incorrect data types or typos, rendering your work useless.

Consider technology

What technology are you going to use to design and deploy your visualisation? There are so many options (Tableau, DOMO, Data Studio, R Studio, Power BI are just some of them), each with their own pros and cons. Ultimately, the technology you choose will be dependent on your specific data and audience. Mapping out how each technology will connect to your data, prepare your preferred visualisations, deploy to your users and update over time, will help to safe guard against wasting time, and licensing fees in some cases, on a technology that is not fit for your purpose.

Ask for help

Do you need some data help? We would love to hear from you! The Data and Information team can help to support you make use of, extract or better understand your data. Please contact us at if you’d like to discuss what support you need. Alternatively, if you have prepared a brilliant data visualisation we want to hear from you too!