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Hiring Leftronic Dev
Leftronic jobs
New York
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Hiring Leftronic Dev
Leftronic jobs
New York
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Hiring Leftronic Dev
Leftronic jobs
New York
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Hiring Leftronic Dev
Leftronic jobs
New York
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Hiring Leftronic Dev
Leftronic jobs
New York
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Icon Featured
icon 1 day ago
Hiring Leftronic Dev
Leftronic jobs
New York
Tag title Tag title
Icon Featured
icon 1 day ago
Hiring Leftronic Dev
Leftronic jobs
New York
Tag title Tag title Tag title
Icon Featured
icon 1 day ago
Hiring Leftronic Dev
Leftronic jobs
New York
Tag title Tag title Tag title Tag title
Icon Featured
icon 1 day ago
Hiring Leftronic Dev
Leftronic jobs
New York
Tag title Tag title Tag title Tag title Tag title Tag title
Icon Featured
icon 1 day ago
Hiring Leftronic Dev
Leftronic jobs
New York
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Icon Featured
icon 1 day ago

Frequently Asked Questions

Is data visualization a growing field? 

Yes, definitely! 

Before the age of technology—and the internet—there wasn’t as much need for people to translate highly technical data into user-friendly visual formats. There was a disconnect between data and the average consumer. If they couldn’t understand the data, then it probably didn’t concern them.

All that is changing now. Corporations understand the importance of data visualization—of sharing data with their audience, and it’s their responsibility to ensure the audience understands. This kind of shift in sharing information leads people to regard data visualization career options as attractive and highly ideal.

Which programming language is best for data visualization?

There are several programming languages that you can use for big data visualization. Some of the best and widely used languages are Python, JavaScript, and R. 

A Python statistics library is ideal for novices because it offers a quick and simple generation of informative and visually appealing statistical graphics. It’s beginner-friendly and convenient for processing data and importing datasets. It’s also used in extensive data analyses. Familiarity with this programming language comes in handy if you choose to get into specific Python jobs in the future.  

With JavaScript, there’s quite a huge selection of libraries to choose from that will help simplify data processing. Many of them are free to use and intuitive, making it easier for you to build powerful and effective graphical displays. 

Lastly, there’s the R language. Made specifically for statistical analysis, R is open-source and typically used to uncover trends and patterns from complex datasets.

What does a data visualization specialist do?

Data visualization specialists use specific programs and software to create graphics based on data collection, analysis, and interpretation. It’s all about placing data in a visual context. Recent advancements in 3D and VR technology are paving the way for more intuitive and more interactive data visualizations.

Plus, the industry is currently testing out new and improved visual representation mediums that are more intuitive and more interactive. AI is slowly becoming a part of data visualization. Unlike machine learning jobs though, you won’t necessarily need to know how to build or create artificially intelligent media just yet.

Why pursue a career in data visualization?

A career in data visualization helps you make invaluable contributions to your field and community. The best thing about it is that it’s not limited to only one field. Data visualization is essential for every organization. Powerful and comprehensible graphics are needed in healthcare, finance, and disaster recovery, among others. 

Aside from this, there’s also substantial pay for data visualization jobs. Depending on where you are and your level of experience, you can earn roughly $80,000 to $90,000 a year with plenty of opportunities for promotion and bonuses. Specifically, the salary for data visualization jobs in Washington, DC is $92,829 or $45 an hour. Meanwhile, the salary for data visualization jobs in Seattle is a bit higher at $95,638 annually. Lastly, data visualization jobs in New York can earn you an average income of $96,296.