{"id":11858,"date":"2022-11-08T14:24:55","date_gmt":"2022-11-08T07:24:55","guid":{"rendered":"https:\/\/bestarion.com\/us\/?p=11858"},"modified":"2024-10-06T03:23:05","modified_gmt":"2024-10-05T20:23:05","slug":"what-is-data-visualization","status":"publish","type":"post","link":"https:\/\/bestarion.com\/us\/what-is-data-visualization\/","title":{"rendered":"What is Data visualization and Why is It Important?"},"content":{"rendered":"

\"Data<\/span><\/p>\n

Data visualization<\/strong> translates information into a visual context, such as a map or graph, to make data easier for the human brain to understand and extract insights. The primary goal of data visualization is to make identifying patterns, trends, and outliers in large data set easier. Information graphics, information visualization, and statistical graphics are all terms that are frequently used interchangeably.<\/span><\/p>\n

Data visualization is one of the steps in the data science process that states that data must be visualized after it has been collected, processed, and modeled for conclusions to be drawn. This is also part of the larger data presentation architecture (DPA) discipline, which seeks to identify, locate, manipulate, format, and deliver data in the most efficient manner possible.<\/span><\/p>\n

Data visualization is essential in almost every profession. Teachers can use it to display student test results, computer scientists can use it to advance artificial intelligence (AI), and executives can share information with stakeholders. It is also very important in big data projects. Businesses needed a way to quickly and easily get an overview of their data as they accumulated massive collections of data during the early years of the big data trend. Visualization software was a natural fit.<\/span><\/p>\n

For similar reasons, visualization is essential in advanced analytics. When a data scientist is developing advanced predictive analytics or machine learning (ML) algorithms, it is critical to visualize the outputs to monitor results and ensure that models perform as expected. This is because visualizations of complex algorithms are generally easier to understand than numerical outputs.<\/span><\/p>\n

Read more: <\/span>The Brief Data Entry Outsourcing Guide<\/span><\/a><\/p>\n

<\/span>Why is data visualization important?<\/span><\/span><\/h2>\n

Data visualization is a quick and effective way to communicate information universally through visual data. The practice can also assist businesses in determining which factors influence customer behavior, identifying areas that need to be improved or given more attention, making data more memorable for stakeholders, understanding when and where to place specific products, and forecasting sales volumes.<\/span><\/p>\n

Other advantages of data visualization include the following:<\/span><\/p>\n