{"id":167,"date":"2023-08-30T17:20:53","date_gmt":"2023-08-30T15:20:53","guid":{"rendered":"http:\/\/james@data-cubed.co.uk"},"modified":"2023-08-30T17:20:53","modified_gmt":"2023-08-30T15:20:53","slug":"3-steps-to-great-data-visualisations","status":"publish","type":"post","link":"https:\/\/data-cubed.eu\/blog\/3-steps-to-great-data-visualisations\/","title":{"rendered":"3 Steps to Great Data Visualisations \u2010 which data visualisation software should you be using?"},"content":{"rendered":"\n

Bryony Miles<\/a> is our d3.js data viz expert. She works with Data<\/em>3<\/em><\/sup> to bring your data to life, developing bespoke charts and dashboards that are both insightful and beautiful. <\/em><\/p>\n\n\n\n

In this blog post, Bryony shares her expertise around creating data visualisations \u2014 and the three things you need to consider.<\/p>\n\n\n\n

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1. Know your goal<\/strong><\/h2>\n\n\n\n

Data visualisations are either explanatory or exploratory. Do you want to explain something to your audience or let them explore the data?<\/p>\n\n\n\n

Explanatory visualisations<\/strong> aim to tell a story. For example – did you ever wonder how many words members of the Fellowship spoke during all 3 extended editions of Lord of the Rings? This data visualisation tells us using the explanatory approach: Who’s speaking in Middle Earth<\/a>?<\/p>\n\n\n\n