Data visualization is the graphic representation of data. It involves producing images that
communicate relationships among the represented data to viewers of the images.
This communication is achieved through the use of a systematic mapping between
graphic marks and data values in the creation of the visualization. This
mapping establishes how data values will be represented visually, determining
how and to what extent a property of a graphic mark, such as size or color,
will change to reflect changes in the value of a datum.
Graphical displays should:
· show the data
· induce the viewer to think about the substance rather than about methodology, graphic design, the technology of graphic production or something else
· avoid distorting what the data has to say
· present many numbers in a small space
· make large data sets coherent
· encourage the eye to compare different pieces of data
· reveal the data at several levels of detail, from a broad overview to the fine structure
· serve a reasonably clear purpose: description, exploration, tabulation or decoration
· be closely integrated with the statistical and verbal descriptions of a data set.
1. Chart studio :
DataHero enables you to pull together data from cloud services and create charts and dashboards. No technical abilities are required, so this is a great tool for your whole team to use.
Chart.js is the perfect data visualization tool for hobbies and small projects. Using HTML 5 canvas elements to render charts, Chart.js creates responsive, flat designs, and is quickly becoming one of the most popular open-source charting libraries.
4. Tableau (and Tableau Public)
has a variety of options available, including a desktop app, server and hosted online versions and a free public option. There are hundreds of data import options available, from CSV files to Google Ads and Analytics data to Salesforce data.
Output options include multiple chart formats as well as mapping capability. That means designers can create color-coded maps that showcase geographically important data in a format that’s much easier to digest than a table or chart could ever be.
Open, customizable, and free to download and modify, RAWGraphs lets users create vector-based data visualizations. Data can be safely uploaded from apps to computers, plus it can be exported as an SVG or PNG and embedded in your webpage.
is a fully-featured drag-and-drop visualization tool that allows even non-designers to create effective visualizations of data for marketing reports, infographics, social media posts, maps, dashboards, and more.
Finished visualizations can be exported into a number of formats: .PNG, .JPG, .GIF, .PDF, and .HTML. Interactive visualizations are also possible, perfect for embedding into websites or apps. Infogram also offers a WordPress plugin that makes embedding visualizations even easier for WordPress users.
claims that data can be imported from “anywhere” using their API, including from live feeds. While they say that importing data from any source can be done in “just a few clicks,” it’s bound to be more complex then other apps that have automated modules or extensions for specific data sources.
The app allows for extensive customization of the final visualization created, and the chart building wizard helps users pick exactly the right data for their charts before importing the data.
FusionCharts gives ready-to-use code for all of the chart and map variations, making it easier to embed in websites even for those designers with limited programming knowledge. Because FusionCharts is aimed at creating dashboards rather than just straightforward data visualizations it’s one of the most expensive options included in this article. But it’s also one of the most powerful.