The big data industry has seen king-sized revolutions which are traversing the globe. However, it would be pointless to have data that is not understandable. This is the point where visualization tools come in so that information may be presented to the correct audience in the most effective and timely manner. Data visualization techniques are evolving as well. They provide interactive and insightful modes of communication.
[su_note note_color=”#f2f2f2″]Worth Reading: How to keep your ideas structured by using special tools[/su_note]
5 Data Visualization Tools Anyone Could Use
This guide briefly explains five innovative visualization tools that can be used by just anyone.
Tableau is the master hand of data visualization. The current statistics show that there are more than 57 thousand accounts that use Tableau software across different industries. Some of the reasons Tableau is popular is its simple design and ability give engaging visualization that surpasses the industry standards. The software is designed for enormous and dynamic databases of the big data sector as in AI and machine learning. Tableau incorporates a huge number of upgraded data management solutions, e.g. Teradata, Amazon AWS, SAP, Hadoop, and My SQL. Courtesy of extensive research and experimentation; Tableau can create the most effective visualizations that make information more comprehensible.
Built upon D3.js, Raw bridges vector graphics and spreadsheets with its intuitive and user-friendly platform. The software is an open resource that doesn’t need registration. The Raw’s gallery consists of 16 different chart designs which can be processed in the browser to ensure safety. It is both extensible and customizable so a data analyst can use new custom layouts. It is a one of a kind visualization technique; absolutely free, and allows uploading of information from Excel spreadsheets and other sources. Its distinctive options are highly professional, but they require a lot of resources from a computer. It is therefore advisable to close computer programs and flashy windows when applying Raw charts to a website.
This is the greatest Tableau rival with more than 40 thousand registered users from over 100 countries. The key feature in QlikView is a highly customizable design. Besides the visualization power, QlikView provides impeccable capabilities including enterprise reporting, analytics, and business intelligence on its clean interface. It is normally used in conjunction with its little brother package- Qliksense- that deals with data exploitation and discovery. It requires a bit of experience to leverage its potential hence users should take advantage of the available third-party resources to fully understand the application of Qlikview.
This web-based interface offers typical interactive charts including bar charts, line charts, histogram, area plot, and scatter plot. It is the ideal graphing tool for school assignments, and it also comes with social sharing features. That’s why Edu Birdie uses Plotly for statistics-related projects. The graphs and carts give articles a more professional look that attracts any reader’s attention. Creating a chart with Plotly is simple. All you need is to upload information from a spreadsheet or any other source, paste, and customize it. Even though it doesn’t provide as much user experience as that of Raw, it is an effective strategy for creating interactive designs of common graphs, but certain aspects need a little tinkering. The collaborative network of Plotly enables users to exchange information and visualization with their coworkers. It may also be a great option for working hand in hand with other people on data visualization.
If you want people to visualize your data through interactive line graphs, pie charts, bar graphs, scatterplots, and area graphs, ChartBlocks would be a great addition to your software arsenal. ChartBlocks is highly customizable with strong usability. Since it consumes a lot of computer resources, make sure your programs are closed before creating the graphs to avoid slowing down the process. Once you create a chart with ChartBlocks, you may export it through PNG or SVG and post it on your social media account or website.
Most of the published content today encompasses data visualization applications which are beyond graphs and charts just so the information can remain visually pleasant and engaging. These techniques normally call for coding, a technical skill that not every journalist or writer possesses. Luckily, there are some tools, which can ease the working process as far as coding goes. In the absence of a code, the size of a sample would be greatly reduced particularly it is being cut and pasted from MS Excel. But an interactive visualization tool adds to the strength of the media pitch and helps to elaborate the main points. Enhance your content with these data visualization tools today! You can finally create an increasingly conspicuous digital media. Make sure that your data sets are as good as the charts.
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