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Data visualization is when you help people understand the significance of data by placing it in a visual context like a chart, a table, or a graphic. Essentially it helps to make Big Data understandable using patterns, trends, and correlations that might be undetected in text-based data.
A word cloud is a good example of data visualization. You can also use infographics to help you interpret and identify, in a visual way, key trends that you’re seeing within your existing dataset. This also enables you to highlight the key insights in a visually appealing way.
It enables you to make big data understandable as patterns, trends, and correlations that might go undetected in text-based data can be exposed and recognized.
Here are some of the more common tools used to visualize data:
Here are some advantages of data visualization:
Firstly, visualization enables you to visualize relationships between operational and business activities. It is very effective in ‘joining the dots’. It also really helps the organization to move forward and understand what you’re trying to achieve. Simplicity is key within these data environments, and data visualization helps you to present insights in a simple manner. This, in turn, enables people to identify and act on emerging trends faster.Back to Top
Jack Preston is a Data Scientist working within marketing analytics, with a particular focus on strategic customer loyalty. Jack has experience working in both small-scale startups and large corporates, including dunnhumby and Notonthehighstreet. He also holds an MSc in Business Analytics from UCL where he graduated with distinction.
ABOUT THIS DIGITAL MARKETING MODULE
This short course covers the principles of analytics and demonstrates techniques and useful tools that you can use to develop and refine your knowledge of data analytics.
You will learn:
Approximate learning time: 3 hours
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