Do you become really agitated when you see a large quantity of numbers? I believe that many of you are. If you do not have sufficient expertise of a specific topic, numerical statistics can appear to be extremely intimidating. Data visualisation comes to our aid at this point. According to Charles Miglietti, co-founder of Toucan Toco, "Data Visualization is the Art of Displaying Data in a Fun and Creative Manner, Beyond the Capabilities of Excel Tables." It's similar to "Setting Figures to Music"
Data Visualization blends graphic design, narrative, and analytical skills to display data in visually appealing and understandable formats. It is frequently used for public health visualisations, illustrating political and pop-cultural trends, etc., and is not limited to the commercial sector. Clearly, Data Visualization Examples can be derived from a variety of social contexts. Moreover, within the realm of business, Good Data Visualization Examples are indicative of Business Intelligence Reporting's optimal application.
What is Data Visualization ?
Data Visualization is a potent communication technique that aids in Data Analytics by transforming raw data and numerical statistics into visually appealing things. It facilitates the presentation of complex information in a logical, straightforward, understandable, and interactive style. Consequently, Data Visualization is also a method of arranging data in engaging and digestible formats.
There are several solutions on the market that can facilitate the Data Visualization process. Tableau and Power BI are two of the most prominent BI Reporting Tools.
Data Visualization Examples
As stated previously, the art of Data Visualization is not limited to the commercial sector. One of the numerous applications of Data Visualization is the depiction of data about company enterprises. In this portion of the blog, we will examine five intriguing examples of data visualisation from various fields.
An History of Pandemics
Below is a graphic created by Nicholas LePan that is both educational and visually appealing. Within a single image, he attempted to portray a compelling narrative: the progression of known pandemics throughout human history. In addition, it contains the name of the pandemic, the estimated date, and the official death toll. This Data Visualization also compares pandemics based on the number of deaths they caused.
Plastic waste disposal leads to water pollution.
Plastic is widely recognised as a significant contributor to water contamination. Its non-biodegradable nature causes huge risks to maritime flora and fauna. Through this Data Visualization, which was actually part of a broader research by Jamie Kettle, he attempted to compare the degree of plastic contamination in the water of some of the world's greatest bodies of water. The figures presented in the infographic are eye-opening, as they reveal the enormous amounts of plastic that end up in the various water bodies.
Positioning of media outlets along the ideological spectrum
The offered Data Visualization technique use a distribution plot to demonstrate where each media outlet falls along a certain ideological continuum. The media sources positioned on the left side of the political spectrum tend to attract an audience that is "consistently liberal," while those positioned on the right side of the political spectrum tend to attract an audience that is "consistently conservative."
Clearly, Data Visualization Examples may be generated from every aspect of human existence. The desire to provide data in straightforward, understandable, and visually appealing formats has only increased the demand for effective data visualisation. At the same time, it is essential to be aware of examples of misleading or poor data visualisation. In terms of influencing the public consciousness, misleading data visualisation examples are particularly dangerous. Therefore, it is imperative to pay close attention to the components of Good Data Visualization Examples.
Data Visualization is an integral component of both Data Analytics and Business Intelligence. It serves no purpose to analyse data if it cannot be presented in a manner that is understandable to the relevant stakeholders. As a part of our Data Analytics and Business Intelligence course curriculum, we at Syntax Technologies give you with an incredible opportunity to gain hands-on experience with the most popular Data Visualization tools.