A Data Visualization Guide For Business Professionals

A Data Visualization Guide For Business Professionals

Data visualization has changed into a unique standard for today’s business intelligence (BI). In the realm of big data, data visualization tools and technologies are necessary to interpret massive amounts of information and make a data-driven choice. Data visualization generally refers to a graphic or visual representation of information and data. Data visualization is a different form of visual art that seizes our attention and keeps our eyes on the report. If you’ve ever looked at a large spreadsheet of data and couldn’t see a trend, you know how much more effective visualization could be. Data visualization has saved an era where businesses accumulated gigantic sets of data and soon required a way to get quick overviews of massive troves of information during the significant data trend. Now that customers and clients are more attracted towards visual content, visual analysis along with visual charts and graphics, it makes it easier for businesses to capture all data in one visual presentation. It could be the photographs, video, picture, chart, graph or analytics, it always looks catchier and amusing to the eye rather than spending hours on reading a typed out or handwritten report. The freelancing and the ghostwriting companies are at a great risk because of the evolution of data visualization.

 

Data Visualization Tools.

Sometimes, data does not sense right until you can look at it in a visual form, such as charts and plots. Data visualization tools now perform an essential role in democratizing data and analytics, opening access to data-driven insights to workers throughout an organization. Data visualization software also has a vital role in big data and advanced analytics projects.

Here are some of the most advanced and renowned data visualization tools that handle the kind of complex data we manage today:

Tableau.

Tableau is an application that stays on your computer and is directed at individual users. It is utilized for generating data visualizations, publishing data sources as well as workbooks to Tableau Server. It is also known to be the big data visualization tool for corporate. You can also create charts, maps, graphs, and many other graphics.

Infogram.

Infogram lets you choose among many templates, personalize them with additional visualizations such as charts, maps, images, and even videos. It enables you to link their visualizations and infographics to big real-time data. Infograme also support team accounts for media publishers and journalists. You have also branded designs for companies and classroom accounts for educational projects.

ChartBlocks

ChartBlocks is an online tool that requires no coding and builds visualizations from spreadsheets, databases and live feeds. You will also be capable to embed your charts on any webpage and share it on Twitter and Facebook.

Datawrapper.

Datawrapper is also easy and requires zero coding, aimed at publishers and journalists. You can upload your data and easily create and publish a chart or even a map. It has custom layouts to integrate your visualizations perfectly on your site, and access to local area maps are also available here.

Plotly.

Plotly helps you create a sharp and slick chart in just a few minutes, starting from a simple spreadsheet. Plotly is known to be a very user-friendly web tool that gets you started in minutes. Also, an API is available for JavaScript and Python.

Highcharts.

Highcharts requires a minimal amount of specialist data visualization training for the user to access it. When you need quick and flexible solutions at hand, Highcharts should be your go-to.

Leaflet.

Leaflet leverages OpenStreetMap data and adds HTML5/CSS3 visualizations and interactivity on top to ensure that everything is responsive and mobile-ready. You can also add heat maps, masks, and animated markers.

Polymaps.

Polymap visualizes maps. Polymaps is a JavaScript library that utilizes SVG to express geographic data from country-wide level all the way down to your local street. This is the best tools to use if you want to create heat maps. All maps you create can be interactive, and you can visualize cartography from OpenMapStreet and many more map providers.

FusionCharts.

FusionCharts is one of the most extensive JavaScript charting libraries that includes 90 charts and 900 maps. FusionCharts also integrates easily with other libraries like jQuery, frameworks like AngluarJS and React, and other languages like ASP.NET and PHP.

Google Charts.

Google Charts aims at Android, iOS, and complete cross-browser compatibility, including our old buddy Internet Explorer versions supported via VML. All the charts you create are interactive, and some are even zoomable. Google Charts is known to be very user-friendly, and their site features an excellent and comprehensive where you can see the kind of visuals and interaction at your disposal.

Why is Data Visualization Important?

Data visualization is a fast, easy way to carry concepts universally. The way human beings process information, use charts or graphs to visualize massive amounts of complicated data is more comfortable than poring over spreadsheets or reports. It helps identify areas that need attention or improvement and clarifies which factors influence the customer experience. It enables you to understand which products are to be placed where and predicts sales volumes.

Conclusion.

A picture is worth a millions of words, especially when you’re seeking to find connections and understand your data, which could involve thousands or even millions of variables. Using unique techniques to visualize your data can help you go a long way in leading a successful business. It’s technology that has genuinely lit the fire under data visualization.

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