What do you understand by Data Visualization Tools

In today's increasingly data-driven world, having easy ways to examine and comprehend data is more vital than ever. After all, the demand for data capabilities among employees grows consistently year after year. Employees and business owners at all levels require a grasp of data and its implications.

 

This is when data visualization comes in useful. With the purpose of making data more accessible and intelligible, many firms use data visualization in the form of dashboards to analyze and communicate information. 

 

Introduction to Data Visualization

 

Data visualization is the graphical representation of information and data. By using visual elements like charts, graphs, and maps, data visualization tools provide an accessible way to see and understand trends, outliers, and patterns in data. 

 

Additionally, it provides an excellent way for employees or business owners to present data to non-technical audiences without confusion. In the world of Big Data, data visualization tools and technologies are essential to analyze massive amounts of information and make data-driven decisions.

 

Data visualization is a graphical depiction of data that tries to communicate large amounts of data in an efficient and understandable manner. In some ways, data visualization is the mapping between original data and graphic elements that determines how the qualities of these items change. Charts, lines, points, bars, and maps are commonly used for visualization.

 

The basic purpose of data visualization is to make data more accessible and interpretable, enabling users to easily spot patterns, trends, and outliers. This is especially crucial in the context of big data, where the sheer volume of information can be overwhelming without proper visualization approaches.

 

Also Read | How is Power BI and Tableau used for Data Visualization and Business Intelligence

 

What is the need for Data Visualization? 

 

value of data visualization is straightforward: it allows people to see, interact with, and better comprehend data. Whether simple or sophisticated, the appropriate visualization can get everyone on the same page, regardless of their degree of knowledge.

 

It's difficult to imagine a professional industry that wouldn't benefit from making data more intelligible. Understanding data aids all STEM sectors, including government, finance, marketing, history, consumer products, service industries, education, sports, and so on. 

 

It's difficult to imagine a professional industry that wouldn't benefit from making data more intelligible. Understanding data aids all STEM sectors, including government, finance, marketing, history, consumer products, service industries, education, sports, and so on.

 

While we'll always wax poetic about data visualization (you're on the Tableau website, after all), there are unquestionable real-world applications. And, because visualising is so common, it is one of the most useful professional talents to learn. The more you can explain your points graphically, whether in a dashboard or a slide deck, the more effectively you can use the data.

 

The concept of citizen data scientists is gaining popularity. Skills are evolving to meet a data-driven world. It is becoming increasingly important for professionals to be able to use data to make decisions and use graphics to tell stories about how data informs the who, what, when, where, and how. While traditional education often distinguishes between creative narrative and technical analysis, the new professional world encourages people who can bridge the gap: data visualization falls somewhere between analysis and visual storytelling.

 

Also Read | A Guide to Data Federation

 

Top 5 Tools for Data Visualization

 

Data visualization software creates graphic representations of data. They take data inputs and translate them into graphics that users can customise to meet their requirements.

 

Users may ensure that a data visualization tool is effective by taking into account their audience's expertise and the simplicity of their graphics. The correct tool for the right scenario delivers easily accessible visuals that present information in a format that the audience is comfortable with.   

 

We have listed some of the top 5 tools used below

 

1. Infogram

 

With over 550 maps, 35 charts, and 20 pre designed themes, Infogram allows you to create a fully responsive, professional presentation on any device.

 

You can import data from online or PC sources, and you can download HD quality infographics in a variety of file formats (PNG, JPG, PDF, GIF, and HTML).If the majority of your data sources are in Excel XLS, JPG, or HTML format and you want to import them into Infogram as PDF files, do a quick search to locate the finest PDF converter.

 

The process of developing effective visualisations for marketing reports, infographics, social media posts, and maps is simplified with the drag-and-drop editor, allowing non-designers or those with no technical understanding to make slick-looking reports, one-pagers, diagrams.

 

2. Qlik

 

Qlik is an analytics and data integration platform with visualisation capabilities. The company's Qlik Cloud includes Qlik Sense, which enables customers to create interactive data dashboards and share graphs, maps, and other visual features with their teams.

 

The platform employs artificial intelligence to automatically provide analyses and insights that help data scientists "present interactive prediction calculations that are easily accessible by decision makers." It also allows users to set alerts to monitor corporate data and automate common processes.

 

3. Looker Studios

 

Google Looker Studio is a cloud-based business intelligence and data analysis solution that includes a data visualization feature. It stands out for its customisable data modeling and interaction with Google Cloud, making it an obvious choice for enterprises who currently use other Google products. Looker Studio focuses on identifying hidden patterns and information inside large data streams.

 

4. ChartBlocks

 

The cloud-based chart-building tool allows you to customize any chart and sync it with any data source, as well as share it on social networking platforms like Facebook and Twitter.

 

You may use their API to import data from any source, including live feeds, and the chart construction wizard will assist you in selecting the best data for your charts before importing on any device, regardless of screen size.

 

5. Datawrapper

 

Datawrapper, an open-source program for adding charts and maps to news stories, supports Windows, Mac, and Linux and allows you to connect your visualization to Google Sheets.

 

Choose from 19 interactive and responsive chart kinds, including simple bars and lines, arrow, range, and scatter plots, as well as three map types that enable you to construct locator maps, themed choropleths, symbol maps, and more.

 

Summary

 

Data visualization is an essential component of today's information interpretation landscape. Its capacity to convert complex data into understandable visual formats, such as charts and graphs, is critical in aiding better decision-making processes across a variety of industries.