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    1. Swimming in a Sea of Data - Duke Libraries Center for Data and Visualization Sciences

      I used R, STATA, ArcGIS, and have even used video editing software to make dynamic graphics representing my results that have improved my own (...)

    2. Top 10 List - Data and GIS Edition - Duke Libraries Center for Data and Visualization Sciences

      Raw makes it easy to go from data to visualization using an intuitive, minimal interface. 2.

    3. Statistics & Data - Education - LibGuides at Duke University

      Find and utilize data sources Consultations and workshops Data management Data visualization Mapping and GIS Your (...)

    4. Statistics & Data - Education - LibGuides at Duke University

      Find and utilize data sources Consultations and workshops Data management Data visualization Mapping and GIS Your (...)

    5. Duke Libraries Center for Data and Visualization Sciences -

      As Palmeri notes, in the fast-paced culture of academia “no one has time to keep old project data up to snuff.” Likewise, while certain (...)

    6. Local Areas - U.S. Economic Data - LibGuides at Duke University

      Raw data used for Durham County can be downloaded from the Durham Open Data Portal if you want to analyze it using (...)

    7. OSF@Duke - Research Data Management - LibGuides at Duke University

      You can register a project to provide a public "snapshot" version of where you are at a given point (helps with transparency)   You can choose (...)

    8. Economic Surveys - U.S. Economic Data - LibGuides at Duke University

      Extract raw ASCII data and codebook, with loading files for Stata, SAS, and SPSS.

    9. Data sets & collections - Statistical Science - LibGuides at Duke University

      Find an article and look at the full text to see if it hints at any raw data or a statistical analysis being available.

    10. Launching the Data Curation Network - Duke University Libraries Blogs

      Data curation is a relatively new service at universities as funders increasingly require that the raw data from (...)

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