1 year ago

Organizations regularly generate an overabundance of data that is essential for decision-making. Data visualization is an important skill for data professionals, which usually goes hand in hand with storytelling, aiming to communicate observations effectively and inform decisions. In this post, we’ll discuss what data visualization is, goals for visualizations, best practices, no-code and low-code platforms you can use, common visualization types, criteria for good data visualization and how to judge data visualization.

Here are a few to consider when putting together your own data visualizations: Data visualizations are useful for highlighting trends, patterns and correlations in data.

Now that we know some best practices for creating data visualizations, here are some criteria for creating good data visualizations: A good data visualization shows complex data connections in a way that’s easy to understand, clear, concise and without clutter.