The correct approach to data visualization: a complete guide

Visualization of data occurs everywhere, from news to information about nutrients on boxes with boys. Using the right type can help you quickly transmit complex information to your audience in a visually attractive way. However, the variety of styles used in both digital and printed formats can be depressing.

💡 Terms of "graph" and "diagram" are often used as interchangeable, but specificity is important. In this article, the term "schedule" refers to the visual presentation of data on the cutting plane. The "diagram" is used as a common word for visual presentation of data.

• 📌 Choosing the right type of graph
• 📌 Definition of the message you are trying to convey with data
• 📌 Determining data visualization goals
• 📌 Definition of your audience
• 📌 Determining the type and size of a set of data you work with

🚀 Every data visualization must have a basic message. A clear idea of ​​what you want to transmit and focus on this will improve the overall quality of your data visualization, and this will help you narrow the types of diagrams based on the complexity of the message and/or the amount of information transmitted.

💡 For example, sometimes a simple table is enough to convey one idea. However, if the message is more complex and/or the main goal - to encourage or motivate the audience to act, you should think about more dynamic types of diagrams.