Data Visualization Table Design. Introduction to designing data visualizations part 1. And contains some best practices for designing tables.
Just like charts or data visualizations in general format and design are very important. Questions such as where is my starting point with my visualization techniques what problems and for whom am i solving the problems are the first consideration that the the analyst engineer and data scientist must address and many of those are best tackled through design thinking practices. Use a two way table to examine.
Poorly formatted text tables can be very frustrating and lead to wrong conclusions.
The quantitative value is then placed at the intersection of the row and column called the cell. The main goal of designing data visualizations is translating user needs and questions to data informed results. Questions such as where is my starting point with my visualization techniques what problems and for whom am i solving the problems are the first consideration that the the analyst engineer and data scientist must address and many of those are best tackled through design thinking practices. Data tables design principles include in your table only the data that you want your audience to focus on.
