A picture speaks a thousand words, right? This definitely applies when it comes to analyzing data, as too many numbers that do not make sense can feel overwhelming. That’s where data visualization comes in handy.
Data visualization shows data or information in a graph, chart, image, or other visual formats. It communicates the relationships between the identified data in an easy-to-read format that allows the reader to gain a deeper understanding of what the data represents.
With big data on the rise, we need to interpret increasingly larger numbers of data. Machine learning (which we explain in our (Beginner’s Guide to Machine Learning ) makes it easier to analyze and segment the data, which can also help serve as a helpful visualization tool. Data visualization is necessary for data representation, as it provides a visual summary of information that makes it easier to identify patterns and trends. That sounds much better than spending the day looking through thousands of rows on a spreadsheet.