Data Science

Top Visualization Tools for Data Lovers


For many, large inputs of numbers are likely a recurring nightmare. But for the data-lover, there’s nothing more liberating than a list of data points and a few intriguing ideas about how to apply them.

At the moment, technology in a variety of sectors is benefiting from data collection, analytics, and mining. Social media uses data to tailor advertising, but data is also used to monitor parking lots, track fruit growth from trees to create foraging maps, and even track skiers on remote slopes.

Data is becoming an ingrained part of predictive industries, too. For example, apps like WeatherSignal use historical data to make forecasts. They’ve done this by tapping into users’ Android devices, which include barometers, thermometers, light meters, and hygrometers, which are used to predict incoming weather.

Other industries, such as sports betting, rely on data to make ‘computer picks’. Groups that don’t offer this technology yet have to appeal to users in different ways; one Unibet promo code highlights the group’s breadth of markets in exchange. However, the future of sports betting will include AI-based algorithms that make picks based on historical and live data.

Clearly, there’s plenty of research and resources that go into perfecting data-driven technology. But what programs are available for the at-home data cruncher? Options are expanding every day, ranging from free, open-source brands to industry-leading software.  Let’s take a look at three tools that will transform how data lovers organize and visualize their projects.

Beginner-Friendly: Datawrapper

In data mining, a wrapper is a tool used to visualize conclusions. Datawrapper, unsurprisingly, is software that allows users to adapt their data points into charts, maps, and tables. Since 2018, Datawrapper has expanded its offerings for users, which now include special solutions for certain sectors.

Media, economics, and governments are three main areas that Datawrapper solutions cater to. In each sector, charts, tables, and maps can help everyday consumers and citizens meaningfully visualize what data communicate.

For the at-home data miner, Datawrapper offers simple solutions that can help them visualize what data tells them. Their tiered subscription service is designed for users of all types, while their interface is easy to use (no coding or programming required). Beginners will feel empowered starting here.


The Sky’s the Limit: Tableau

For most professional data miners, Tableau is considered the top solution for visualization. The software’s robust features include interactive visualization as well as an intuitive ‘drag and drop’ design that Mac users will be familiar with.

However, Tableau isn’t designed for beginners quite like Datawrapper is. It comes with a pretty price tag but, with a customer list that includes Amazon and Wells Fargo, it’s easy to see where that number comes from. Additionally, there’s no custom coding required.

This program suits data miners with an emphasis on business and those who require ongoing updates and smart features, from dashboards to automated sharing. Those who are unsure if Tableau offers the right coverage for their needs can opt for their free trial. Despite being created with business analytics and visualizations in mind, Tableau covers data visualization basics for newcomers looking to spearhead their own projects.

Prototyping & Programming: Plotly

Similar to Datawrapper, Plotly was created with at-home data miners in mind. However, it requires users to have a background in programming. At the moment, Plotly and its Dash Enterprise endeavor are looking to customize data solutions across a range of industries, from sports analytics (mentioned above) to manufacturing and pharmaceuticals.

For the at-home data miner, Plotly offers the widest range of visualization complexity. Though Plotly’s Dash Enterprise is now handling the customization of visualization depending on client needs, Plotly users can handle this work themselves so long as they have a background in JavaScript, Python, Matlab, or R coding.

The tool itself will quickly deploy visualizations from inputs, which makes it ideal for those who plan on spending time prototyping. Even better, the open-source version is totally free—so long as users are prepared to install, store data, and integrate the final products on their own.

About the author

Tirupati Gumpula

Hi, I'm a Tech Enthusiastic and founder of Popular technology blogsWay to Hunt. & Elite Tricks. Want to promote your brand? Email: [email protected]