That’s the whole point of data visualization. Some data visualizations taken from the Fitbit app. It’s much easier to see what the data is telling you, right? Now imagine seeing the same data presented as a bar chart, or on a color-coded map. You probably won’t be able to decipher the data without delving into it, and it’s unlikely that you’ll be able to spot trends and patterns at first glance. Imagine you’re presented with a spreadsheet containing rows and rows of data. It helps to highlight the most useful insights from a dataset, making it easier to spot trends, patterns, outliers, and correlations. What is data visualization? A definitionĭata visualization is the graphical or visual representation of data.
So: What is data visualization? Let’s start with a definition. Getting started with data visualization.Best practices and principles for effective data visualization.Different types of data visualization and when to use them.Want to skip ahead? Just use the clickable menu. This guide is ideal for anyone who wants to present, communicate, and share data-driven insights. Last but not least, we’ll show you how you can get started in the fascinating field of data viz. We’ll also explore some of the most common types of data visualization, as well as the tools you can use to create them. We’ll explain what data visualization is, why it matters, and how you can do it effectively. In this guide, we’ll tell you everything you need to know about data visualization (data viz). It’s a crucial step in the data analysis process-and a technique (or art form!) that all areas of business can benefit from. Data visualization is all about presenting data in a visual format, using charts, graphs, and maps to tell a meaningful story. They say a picture is worth a thousand words, and this is especially true for data analytics.