Visual Data Representation – Importance, Tools, Google Data Studio

More and more spheres of modern life ground on data collection and analysis. The sphere which can benefit most from data analysis is business, however, speed matters. So, to make prompt and timely decisions, it’s necessary to have a clear idea of what the collected details mean, which is best achieved by giving it visual context.

The importance of data representation visually should not be underestimated. Visual details are easier to comprehend since such information looks more natural to the human mind. Thus trends, patterns, and outliers even within large data sets can be identified fast. That’s why one of the most reasonable investments in business today is purchasing an effective tool for data visualization that can help with the process of decision-making through interactive visual data representation.

Speaking in general, data visualization is delivering information in the most efficient way. Initially, the raw data gathered is modeled and delivered for effective data-driven decisions. Going deeper into the matter we’ll see that data scientists working in the field of data analytics create multiple machine learning algorithms to analyze and compile the essential data into visual objects. In such a way they shape the information into images in a universal, fast, and effective manner. It helps businesses, and not only, identify the areas that require improvements, the factors that influence customer behavior, and the options to improve sales. The role of data visualization in e-commerce and business is crucial for business owners, stakeholders, and decision-makers since it allows them to make better predictions in sales and overall business processes. Recognizing the patterns faster due to the graphical or pictorial forms, the future development of the company can be estimated with better accuracy and optimized if it’s necessary in a due time. When it comes to some complex projects, images speak louder than words as well. So, when collected data is properly visualized, it can be better understood. What is more, it helps to monitor the processes within the project and ensure they go the right way. Computer scientists can use data visualization for innovative developments in the sphere of machine learning and artificial algorithms developments.

In fact, data visualization matters for almost any career, even teachers and tutors, for instance, can monitor students’ test results and overall progress in studies with the help of this method. The list can be continued, however, let’s proceed to the data visualization techniques existing.

The methods to put information together and visualize are multiple: graphs and tables, dashboards comprised of them, etc. The choice depends on the details necessary to outline, the scope of data, and the purposes. Some visualizations can be created automatically, others require manual work. Let’s look at some kinds in more detail:

There are plenty of visualization tools available online, and the users can choose those that best match their approach to data representation and purposes.

Since Google is nowadays the richest source of data, no wonder Google data visualization is in demand and there is a versatile, yet easy-to-understand and to-access tool for the purpose – read on about it.

It is a free tool allowing users to create interactive dashboards, as well as customized and clear reports that can be scheduled and are easy-to-share. For those inclined towards data analysis, exploring job opportunities as a Data Analyst could be a natural progression, utilizing your familiarity with such tools to excel in the field.

This Google data visualization software is really great because it includes the following features:

Google Data Studio can be a life-changer in any sphere based on data, whether it’s a business, a hobby, or anything else. Still, the choice is not restricted by this tool alone.

It is a set of methods, techniques, or special software for translating raw data into visual examples suitable for presentations. Examples of visual data presentation software are Google Data Studio and PowerBI.

Raw data in the form of tables or sets of numbers are not very suitable for understanding. Data visualization helps to see trends, and patterns even in large datasets. Visually displayed data allows you to assess their importance and make the right business or scientific decision.

Depending on the type, size, and specifics of the data, there are the following types of visualization: infographics, heat maps, charts, histograms, timelines, and graphs. Each format also has many visual variations to visualize specific data.

Data visualization works better because the human brain comprehends visual information and spots patterns and trends better when they are presented in some visual form. Data visualization thus helps users to gain insight and make better decisions faster. Being an expert in data scraping, we realize the importance of data visualization for our clients and provide it on demand. If you need data visualized in a clear and meaningful way, just contact our expert, schedule a free consultation, and DataOx will do it for you!