What is data visualization?
Data visualization visually represents data that includes statistical graphs, infographics, charts, dashboards, and geographic maps to convey an exciting story. It is an important step in the data analysis phase, a technique that can benefit all business areas. It is a stage of the data science process in which all data is collected, processed, and designed before being visualized so that users can draw conclusions. Data visualization allows employees or businesses to show information to non-technical viewers without creating confusion.
Data visualization tools
1. Tableau:
Tableau is an interactive data visualization software. This tool is used for practical data analysis and visualization. It has a drag-and-drop interface, which allows it to perform tasks quickly and easily. Users are not obliged to write code by the software. QlikView is Tableau's main competitor and is a bit expensive.
2. QlikView:
QlikView is a business intelligence platform that converts raw data into actionable information. It provides a comprehensive set of interactive visualizations but requires payment before it can be used for commercial reasons. QlikView is software related to Tableau.
3. Datawrapper:
Datawrapper was explicitly created for introducing graphs and maps into news articles. The primary method is to copy and paste data into the program. The tool is widely used in media groups where statistics and graphs are frequently used to present information.
4. D3.js:
D3.js is a JavaScript library for tricking data-driven documents. With a data-driven document, you can use D3 to generate an HTML table from a number array. Transforming data entails selecting nodes and trying to manipulate them individually, and D3 is the most effective platform for data visualization work. It is quite technical.
5. Plotly:
Plotly is a fantastic tool for creating complex data visualizations. It supports various graph types, such as scatter plots, histograms, etc. One of the biggest perks of using Plotly is that it is compatible with programming languages such as Python, JavaScript, Matlab, and R.
6. Microsoft Power BI:
Microsoft Power BI is perfect for those already connected with the Microsoft environment. It is the most popular tool because it integrates easily with Microsoft tools and is free to use and download. This business intelligence tool is ideal for producing ad hoc reports and is available in both mobile and desktop versions.
7. FusionCharts:
FusionCharts is based on JavaScript charting. It includes over 90 outlines and diagrams ranging from basic to advanced, including Funnel, Heat, Map, Zoom Line, Multi-Axis, and Treemap Charts. The tool ensures that users understand various functionalities.
8. ECharts:
Baidu began working on ECharts in 2013. Despite its ability to perform enterprise-level charting work, ECharts remains an open-source and free-to-use visualization software. These are entirely free to use.
9. Highcharts:
Highcharts is not an open-source product due to its proprietary license. However, if your intended use is personal and non-commercial, you may use it for free, and a license is required to use Highcharts in commercial applications. It is a full-featured charting library written entirely in JavaScript.
10. Sisense:
Sisense is AI-driven software designed for business intelligence. Sisense is frequently cited as one of the best agile data visualization tools, and it provides users with immediate data insights and analytics anytime and from any location. You can connect to various data sources at the same time.
