What is Visualization Technology and Best Tools for Data Visualization
It has been scientifically proven that visual representation along with the verbal presentation improves the retention of information and increases the ease of understanding concepts. The same principle, when applied to a piece of data, makes it far easier to evaluate and analyze.
Nowadays it has become an inevitable procedure to follow in data sciences. Data visualization technology is nothing but using scientific logarithms and rules to organize the visual representation of a given data for the better manifestation of the concerned situation or information.
Generally, data visualization technology combined statistics, the technology available, geography, graphics, natural sciences and multiple disciplinary to effectively impart particular information.
Visualization technology not only involves creating graphs, charts, etc. for data analysis it also incorporates many other things like graphic aesthetics, engineering algorithms, visual coding and visualization solutions used in commonplace scenarios.
Some basic tools used in visualization technology are Excel, python, etc. but these are not something preferred in fields of data analysis ordinarily. Following is the list of some commonly used visualization technology in the actual workplaces.
Here are Best Data Visualization Tools that you need to know
D3(Data-Driven Documents)
D3.js is a javascript run program that produces a dynamic and interactive visual representation of data on a web browser. It allows a great amount of control over the ultimate data representation. It can be said a successor to various other libraries like Prefuse, Flare, etc. D3 has a more interactive setup and has many improved results, performance, and standards.
D3 uses SVG, canvas and HTML elements to generate visualization effects with interactions and many transitions to produce simple or complex results from data. The best advantage of D3 is it is an open-source project which needs minimum coding and has great SVG attribute and DOM manipulation. Though it’s API level is not up to the mark but is a good visualization technology all in all.
Tableau
It is one of the most powerful and premium data visualization technology available which handles BigData using artificial intelligence and various machine learning applications. It is a perfect solution for a fast-changing huge amount of data into a visual and understandable format on the form of dashboards and worksheets.
The real-time analysis and data blending capacity along with any need for technical or programming knowledge makes it widely used in professional institutions. Tableau works perfectly and has a high advantage of collecting and utilizing data from a very broad range and sources in a very interactive manner in a very short amount of time.
Qlikview
It is the biggest competitor of Tableau present in the market and is probably the most flexible program to convert data in a visual format. The speciality of Qlikview lies in the straightforward, simple format it visual presents the data within minutes, giving a great amount of insight and value to pre-existing data which is exhausting to make any sense of.
The QlikView is powered with in-memory architecture which makes instant searches associated with data easily with great analysis. It is a BI data discovery product for analysis and dashboard presentation of complicated data integration.
Fusion Charts
It is a data visualization software technology developed by Infosoft Global Private Limited. It has a useful framework for data analysis in the form of charts, graphs, etc. to be included in dashboards, reports, monitors, surveys, etc. It ha a variety of formats for charts which give great flexibility in various platforms. All the processes involve the usage of SVG and VML and provide reliable real-time analysis of data after plugging and choosing a desirable template.
Fine Report
It is a BI program designed completely in java which combines the principles of both data entry and visualization without any need for code development. It effectively summarises real-time changing data, trends and ongoing operations to produce a visual interpretation to give useful insights which actually help to change and improve the momentum of work.
It has cool features like beautiful layouts and designs, smart data entry and integration, powerful data integration and decision-making capabilities, and easy drag and drops operations which can also produce 3D and dynamic visuals.
Power BI
It is a business analytics software developed by all-time reliable Microsoft providing an easy user interface allowing to produce interactive and conclusive reports and dashboards from a wide range of data. It has cloud-based BI services that have features like data preparation and discovery. It has the ability to load custom visualization which makes it different from other programs and software available in the market. Integrated and improved data can be easily accessed through web and mobile devices. It can collect data and merge them from different sources to give a final enhanced interpretation with conclusive visual effects and versions.
Datawrapper
It is a popular choice among media organizations to create charts and present data in a statistical and technical manner that can be interpreted and understood easily. The positive for this visualization technology is the need for any coding to produce aesthetic and responsive charts that can conclude the data. It is an open-source platform that produces embeddable charts, visuals within a short span of minutes. It is pretty user-friendly and a whole lot of line graphs, pie charts, maps, etc. can easily be extracted after loading the CSV dataset into the data-mining program.
Vega
It is a visualization grammar used for producing an interactive visual representation design and format for a concerned data piece. It provides custom visualization for expert-level data exploration and analysis in a constructive manner. It is equipped with JSON visualizer tools that can elicit geometrical visualization details from custom algorithms and plugins. The design is very useful but the cost of learning and usage is complex though it allows integrating the grammar to build a variety of charts and conclusive representations.
Leaflet
It is a mobile-friendly open-source java scripted library to create visual support for data analysis. It jas almost all mapping designs and feature designers generally employ to prepare representations of data visually. It has a wonderful API, readable source code and can be enhanced multiple times with additional plugin increasing the effectivity of the final result. Though using it may require some secondary development capabilities. It is a good library to produce conclusive maps with simplicity and practical usability. It quickly turns raw data into compelling maps that can be integrated to give better understanding and conclusions.
Conclusion
Data visualization Technology is really important to receive conclusive and constructive information from the huge amount of data to actually utilize and improve the statistics in real-time. And so have the various platforms improved to facilitate the data analysis process for developers.
