Skip to Main Content

Data 101

In this LibGuide, we introduce you to the wide world of data, including data types (qualitative, quantitative, ethnographic, geospatial, etc.), finding data, visualizing data, and managing data.

Data Analysis

Data analysis involves inspecting, cleaning, transforming, and (often) computationally modeling data to find information and trends within a dataset, and inform decision-making and lend insight towards hypotheses. Data analysis helps us turn data into meaningful information about the objects represented through the data. 

Data Workshops

CMU Libraries provides individualized training and group workshops to dozens of useful data analysis tools! Check out our list of (free!) workshops each semester that are open to anyone in the CMU community:

Examples of data analysis-themed workshop topics we regularly offer include: 

  • Cleaning Messy Data with OpenRefine
  • Introduction to Data Visualization in R 
  • Data Analysis in Jupyter Notebook
  • Text Analysis in R 
  • Network Analysis
  • Getting Started with Zotero





For help with data or data-related tools, or for any other questions, please contact the University Libraries Data and Publishing Services team.