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What is Data Visualization?

With so much information being gathered in the world today through data analysis, we must have a way to paint a picture of that data so that we can interpret it. By giving it visual context through maps or graphs, data visualization gives us a clear idea of what the data means.

To analyze massive amounts of information and make data-driven decisions, data visualization tools and technologies are essential in the world of Big Data. Colors and patterns are attracted to our eyes. We can identify pink from blue, square to a circle, very quickly. Our culture, including everything from art and advertising to TV and film, is visual. Another type of visual art that catches our attention and holds our eyes on the message is data visualization (or british: data visualisation). We easily see patterns and outliers when we see a map or graph. If there is something we can see, we internalize it easily. For a reason, it’s storytelling.

You know how much more powerful visualization can be if you’ve ever stared at a huge data spreadsheet and couldn’t see a pattern.

Data visualization is the way that enables a non-technical individual to understand not only the data but the very popular technology ‘Big Data’. Pictorial representation of data with an aim to allow more room for understanding is what data visualization is all about. Patterns and links are better to grasp and analyze with a graphical alternative. With visualization tools, graphs and other historical forms of data visualization that were earlier catered by MS PowerPoint or Excel have taken a big leap.

Visualization is an increasingly important method for making sense of the trillions of rows of data produced every day as the ‘Epoch of Big Data’ kicks into high gear. Visualization of data helps tell stories by curating information in a way that is easier to understand, illustrating patterns and outliers.

In short, a good visualization tells a story, eliminates the noise from the information, and highlights useful details.

Data visualization is the art of incorporating the details of a chosen object or idea into a comprehensive picture. In other terms it can be defined as the art of displaying data for research or discussion of a topic. It is a field where you can convince people for your cause. That is why you want to have best data visualizations possible for your data. Nose for data garantuees the best possible graphics and successful visualisations (without the zzz's).

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Why Nose for data?

Data visualization is the area of seeking to recognize data through putting it in a visual context so that patterns, trends and correlations that may not in any other case be detected, can be uncovered. Our visualization isn't just about numbers; it's about bringing data to life. Crafted with a keen eye for aesthetics and functionality, we ensure an engaging and easy-to-understand representation that highlights our expertise in creating visually appealing and informative data graphics. Dive into a world where data tells a compelling story with our state-of-the-art data visualization for European countries - a testament to simplicity, professionalism, and excellence in data representation, which can only be found here.

Key Highlights:

• GDP per Capita: Experience a clear representation of Serbia's economic strength with an intuitive display of its GDP per Capita (€18,340.59).
• Work-Life Balance: Compare and contrast Serbia's average working hours per day and year, as sourced from Eurostat and OECD, providing a holistic view of the work culture.
• Wage Analysis: Delve into the intricacies of earnings with detailed stats on average gross wage per hour, complemented by insightful wage ratios.
• Yearly Insights: Grasp the annual work patterns with data on average hours worked per year and average working days.
• Happiness Index: Understand societal well-being through the Happiness Prosperity Index (HPI) for 2019 and 2020.

For demonstration purposes custom made interactive visualisations were made during covid pandemic. These graphs were updated automatically everyday for Dutch data (the data was aggregated from Dutch government RIVM, Our world in data and LCPS).