What is data visualization?
What is data
visualization?
Data visualization is the graphical representation of information and data. By using visual elements like charts, graphs, and maps, data visualization tools provide an accessible way to see and understand trends, outliers, and patterns in data. Additionally, it provides an excellent way for employees or business owners to present data to non-technical audiences without confusion.
In the world of Big
Data, data visualization tools and technologies are essential to analyze
massive amounts of information and make data-driven decisions.
What are the advantages
and disadvantages of data visualization?
Something as
simple as presenting data in graphic format may seem to have no downsides. But
sometimes data can be misrepresented or misinterpreted when placed in the wrong
style of data visualization. When choosing to create a data visualization, it’s
best to keep both the advantages and disadvantages in mind.
Advantages
Our eyes are drawn to colors and patterns. We can quickly
identify red from blue, and squares from circles. Our culture is visual,
including everything from art and advertisements to TV and movies. Data
visualization is another form of visual art that grabs our interest and keeps
our eyes on the message. When we see a chart, we quickly see trends and outliers. If we can see
something, we internalize it quickly. It’s storytelling with a purpose. 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.
Some other advantages
of data visualization include:
- Easily sharing information.
- Interactively explore opportunities.
- Visualize patterns and relationships.
Disadvantages
While there are many
advantages, some of the disadvantages may seem less obvious. For example, when
viewing a visualization with many different datapoints, it’s easy to make an
inaccurate assumption. Or sometimes the visualization is just designed wrong so
that it’s biased or confusing.
Some other
disadvantages include:
- Biased or inaccurate information.
- Correlation doesn’t always mean causation.
- Core messages can get lost in translation.
Why data visualization
is important
The importance of data
visualization is simple: it helps people see, interact with, and better
understand data. Whether simple or complex, the right visualization can bring
everyone on the same page, regardless of their level of expertise.
It’s hard to think of
a professional industry that doesn’t benefit from making data more understandable. 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.
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. And, since
visualization is so prolific, it’s also one of the most useful professional
skills to develop. The better you can convey your points visually, whether in a
dashboard or a slide deck, the better you can leverage that information. The
concept of the citizen data scientist is on the rise.
Skill sets are changing to accommodate a data-driven world. It is increasingly
valuable for professionals to be able to use data to make decisions and use
visuals to tell stories of when data informs the who, what, when, where, and
how.
While traditional education typically draws a distinct line between creative storytelling and technical analysis, the modern professional world also values those who can cross between the two: data visualization sits right in the middle of analysis and visual storytelling.
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