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What?

Data visualization is the creation of visual representations of abstract data that serve to clearly and effectively communicate complex information. Visualization can be targeted and focused on telling a singular narrative, or more exploratory in nature. Quantitative, or qualitative data that can be quantified, spatial, temporal, and textual data can all be used for visualization.


 Why?

Data visualization has a multitude of uses. For some data sets, it can be a crucial step in the data analysis process, allowing a user to see patterns and trends not visible in the raw data. Visualization can also enhance presentation, aid cognition, confirm hypothesis, and offer interactivity, while creating an aesthetically pleasing product.


 Where?

Data Services, located on the 5th Floor of Bobst Library, hosts computer stations equipped with the latest tools to prep, analyze, and visualize your data. They also have consultation hours staffed by the Data Services team.

Some tools are available for students through the NYU Virtual Computer Lab and NYU computer labs, while others are available through the Cloud or through a software download. While the tools below are separated by visualization type, many can be used to produce multiple types of visualizations (i.e. both maps and graphs) depending on the data set.


Types?

Click below to explore uses and tools for spatial statistical, temporal, and textual data visualization.

Spatial

Statistical

Temporal

Textual