Insight into the Different Stages of Data Visualization
Data Visualization is a multi-step process which can be broken down into seven main stages: Acquire, Parse, Mine, Filter, Represent, Critique, and Refine. Explore how we applied each stage to our project
Acquire
We gathered datasets from credible sources in this stage. We took steps to ensure that the data was relevant, accurate, and reliable.
See the full PDF here
Mine
We made statistical analyses from each dataset and found which data was applicable for the represent stage. Conversions and calculations were made in this stage.
See the full PDF here
Critique
We received feedback from other groups for improving our visualizations, and provided critique to another team to help them improve their own visualizations.
See the full PDF here
Parse
We provided structure to our data and analyzed the different categories and data types. We further assessed if the data was appropriate for our project
See the full PDF here
Filter and Represent
We made statistical analyses from each dataset and found which data was applicable for the represent stage. Conversions and calculations were made in this stage.
See the full PDF here
Refine
We implemented the changes we received in our critique to improve our final visualizations.
See the full PDF here
Final Report
A thorough breakdown of the process from start to finish, including the team's contributions and diversity statement.