The purpose of data visualization is to help drive informed decision-making and to add colorful meaning to an otherwise bland database. For example, the health agency in a government (in the US, that would be the CDC) might provide a chart of populations with the highest cases of COVID-19 or a map of a country colored according to vaccinated regions. These visualizations enable data professionals to easily understand any patterns, trends, or outliers in a data set.ĭata visualization also presents data to the general public or specific audiences without technical knowledge in an accessible manner. What is data visualization?ĭata visualization is the representation of information and data using charts, graphs, maps, and other visual tools. In this article, you’ll learn all about data visualization, including its definition, benefits, examples, types, and tools. Data visualization helps big data professionals tell a story with data, turning spreadsheets of numbers into stunning graphs and charts. Google can use data visualization to portray significant insights-like a heat map to illustrate regions where individuals search for mental health assistance. This requires the company to collect “ big data” and synthesize it into information. A company such as Google will track the number of searches made in each country, and what types of keyword searches are being made, so that companies, government agencies, and other organizations can stay attuned to trends and patterns of the general public.
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