Wrangling Data

Well structured and normalized data can greatly benefit data-driven analysis, research and storytelling. The NCSU Libraries can help you model, clean, join, and work with your data.

Modeling Data

  • Structure your data with research outcomes in mind.
  • Design a database to store and query complex data.
  • Build taxonomies or other controlled vocabularies for efficient filtering and searching.
  • Create an ontology to organize and build meaning with your data.
  • Establish a metadata profile for your research project.

Cleaning Data

  • Normalize messy data so that it’s easier to analyze and visualize.
  • Transform data to meet different analysis and visualization needs.

Joining Data

  • Join datasets into one corpus so that you have more data to crunch.
  • Enhance your dataset by reconciling it against name registries like Wikidata to pull in more data.

Learn

Data and Visualization workshops, offered every semester at a variety of skill levels.

Access Lynda.com tutorials on data wrangling topics:

 

Check out books in our collection on data wrangling topics:

Create

Access computers optimized for data-intensive work and equipped with software for data wrangling like OpenRefine in the Hunt Dataspace and Hill Learning Commons.

Get Help

Our librarians are available to help with data modeling, data cleaning, data joining, and other tasks related to working with data. Contact us if you have questions or to schedule a consultation.

Drop-in data science and visualization assistance is available at Hill and Hunt Libraries. Check the schedules for hours and topics:

Get Instruction Support

We offer data analysis and visualization instructional support for courses throughout the university.

Find, Analyze, and Visualize Data

The library provides access to a wide range of data resources and services, including guides to finding census data, political and social science data, and geospatial data.

We offer consultations, collaborations, and training in data analysis using languages such as R and Python, and statistical environments like Stata, SPSS, SAS. We can help with quantitative, qualitative, and geospatial data analysis.

A good data visualization can expose new patterns and relationships in your data and help you communicate about it more clearly. Contact us for help with data visualization.

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