6 Big Data Visualization Tools Any Data Analyst Should Consider
If there’s one thing that data analysts can’t do without, it’s data visualization tools. These tools help in transforming complex data sets into visual representations that are easier to interpret, comprehend, and communicate. With huge amounts of data being generated every day, it’s imperative for any data analyst to have a set of data visualization tools in their arsenal that can help them analyze and draw insights. Let’s explore the six big data visualization tools that any data analyst should consider using.
1. Tableau
Tableau is a powerful and easy-to-use data visualization tool that enables data analysts to create interactive and captivating visuals. It boasts of an intuitive drag-and-drop user interface that reduces the learning curve significantly. Tableau can connect to a wide range of data sources and can be used to create interactive dashboards, reports, and charts.
2. QlikView
QlikView is another popular data visualization tool that offers a unique associative mapping feature. This enables data analysts to make quick and flexible associations between data sets and create analytical apps that can be used to visualize data and explore insights. QlikView can be used to create interactive dashboards, reports, and charts that can be easily shared across teams.
3. D3.js
D3.js is a JavaScript library that is widely used for creating dynamic and interactive data visualizations on the web. It enables data analysts to create custom visualizations that are not possible with traditional data visualization tools. D3.js is highly flexible and can be used to create a wide range of charts and graphs.
4. Microsoft Power BI
Microsoft Power BI is a cloud-based data visualization tool that provides a comprehensive set of features for data analysis, including visualization, data exploration, data preparation, and collaboration. It can be used to create visually stunning reports, dashboards, and interactive data visualizations.
5. Infogram
Infogram is a web-based data visualization tool that is designed to create data-driven infographics, charts, and visualizations easily. It offers a vast collection of pre-designed templates that can be customized as per data analysts’ requirements. Infogram also allows data analysts to infuse their brand designs while creating visualizations.
6. Google Charts
Google Charts is a free data visualization tool that enables data analysts to create simple charts and graphs for web applications. It offers a comprehensive set of APIs that can be used to generate a wide range of charts, maps, and gauges. Google Charts can be easily integrated into web pages or apps.
Conclusion
Data visualization tools play a crucial role in the toolkit of any data analyst. The above six visualization tools are some of the best in the market and provide a range of functionalities that can help in visualizing complex data sets. By choosing the right data visualization tool, data analysts can make better informed decisions and provide more insights to their stakeholders.
