Common Tools and Technologies

The use of several tools, technologies, and programing languages by data visualization experts to develop visualizations and dashboards, which are flexible to use. Let’s have a look over the most widely spread instruments and technologies in data visual data presentation.

• Tableau: Tableau is the most well-known data visualization platform which not only has a cutting-edge user interface but is also an expert in fulfilling complex data requirements. It offers creative visualization of data sources that also include dashboards, charts, graphs, maps, and reports. Tableau features have in-depth capabilities such as blending data resources, calculations, and data storytelling through data visualization.

• Microsoft Power BI: Microsoft Power BI is business intelligence software with capabilities to show information in different forms and representations. It is a tool that is used to analyze data from various sources. Whether it is a linear chart, bar graph, or even visualization map, it offers a full range of representation options. Power BI provides data reviewing, sharing insights, and collaboration around data exploration and analysis projects.

• QlikView/Qlik Sense: With QlikView and Qlik Sense as the products of Qlik, business users can discover data, visualize it, and get insights through guided analytics. QlikView is designed to generate infographic visualizations and guided analytical activities, whereas Qlik Sense offers self-driven and free-will data discovery and visualization features. They also have a known structure of data based on association and a well-designed graphical user interface.

• D3.js: D3 is a versatile JavaScript library that makes it possible to develop fancy and sensible visual data on the web online. It treats the same way as HTML, CSS, and SVG, it thus allows one to create custom visualizations, animations, and interactive charts. D3.js along with other libraries for watching and tracing data flow is used for developing unique visualizations and data-driven web applications.

• Excel and Google Sheets: The existing spreadsheet tools such as Excel and Google Sheets, have basic visualization features. They empower users with the ability to visualize data through simple charts, graphs, and pivot tables within the field of Excel capability. Nevertheless, though not as powerful as the specialized data visualization tools, Excel or Google Sheets may be conveniently employed in performing the ad hoc tasks of analysis and visualization.

Data Visualization is a fundamental concept of modern-day data analysis, where the transformation of complex data into some meaningful visual representation is done. An organization’s Data Visualization Specialist or Analyst will be charged with a crucial task in this aspect and the organization will be able to utilize data to formulate decision-making and strategic action planning. Here, I have aggregated various topics on duties, skills, and tools that are applied as well as career prospects of Data Visualization positions, and the fact that data visualization and visual storytelling are notably pivotal in our data-driven workplace of today.