The concept of the citizen data scientist is on the rise. The better you can convey your points visually, whether in a dashboard or a slide deck, the better you can leverage that information. And, since visualization is so prolific, it’s also one of the most useful professional skills to develop. While we’ll always wax poetically about data visualization (you’re on the Tableau website, after all) there are practical, real-life applications that are undeniable. Every STEM field benefits from understanding data-and so do fields in government, finance, marketing, history, consumer goods, service industries, education, sports, and so on. It’s hard to think of a professional industry that doesn’t benefit from making data more understandable. Whether simple or complex, the right visualization can bring everyone on the same page, regardless of their level of expertise. The importance of data visualization is simple: it helps people see, interact with, and better understand data.

Core messages can get lost in translation.

Correlation doesn’t always mean causation.

Or sometimes the visualization is just designed wrong so that it’s biased or confusing. For example, when viewing a visualization with many different datapoints, it’s easy to make an inaccurate assumption. While there are many advantages, some of the disadvantages may seem less obvious.

Some other advantages of data visualization include: If you’ve ever stared at a massive spreadsheet of data and couldn’t see a trend, you know how much more effective a visualization can be. If we can see something, we internalize it quickly. When we see a chart, we quickly see trends and outliers. Data visualization is another form of visual art that grabs our interest and keeps our eyes on the message. Our culture is visual, including everything from art and advertisements to TV and movies. We can quickly identify red from blue, and squares from circles. Our eyes are drawn to colors and patterns. When choosing to create a data visualization, it’s best to keep both the advantages and disadvantages in mind. But sometimes data can be misrepresented or misinterpreted when placed in the wrong style of data visualization. Something as simple as presenting data in graphic format may seem to have no downsides. What are the advantages and disadvantages of data visualization? Reference Materials Toggle sub-navigation.Teams and Organizations Toggle sub-navigation.

Plans and Pricing Toggle sub-navigation.

Hide task in gantt chart ms project