Note: It is a paid software. However, it is FREE for students!
Tableau is a drag-and-drop data analytical software that helps individuals create engaging visualizations and comprehensive data dashboards. It is a great tool to understand our products from multiple perspectives such as daily operations, user engagement, and campaign effectiveness. It also benefits researchers by offering a quick prototype of study analysis such as survey outputs.
No coding is needed, though the design of measurement is necessary
As long as you have some experience with Excel, you will find Tableau easy to use. If you use pivot table frequently, it is very likely that you will fall in love with Tableau easily.
Diversity of data visualization
Many questions can be answered with visual analytics, such as: who are NLT viewers? Teachers' average salary comparison within U.S. by states? Which categories count for the changes of EdLab budget over the years? See the gallery for more examples
Handle data efficiently
It can connect to databases like SQL and spreadsheet quickly. If you need to use data offline, it won't be a problem as well.
There is not much room for dataviz innovation. Comparing with D3, Tableau has only limited customizations. The trade-off between customization and easiness-to-use seems inevitable.
It could also be potentially dangerous if we abusively use the easy graphic tool. To avoid junk graphics and misleading dataviz, we need to define a reasonable measure to answer a specific question.