About this resource

    Type of resources
    Activity/Lab
    Education level(s)
    Graduate / Professional
    Primary user(s)
    student, teacher
    Subject area(s)
    Applied Science, Life Science, Physical Science, Social Science
    Language(s)
    English
    Cluster
    FAIR Data and Materials
    Last updated
    1 January 2020
    Activity/Lab

    Python for Harvesting Data on the Web

    By Nick Wolf, Vicky Steeves

    Open this resource

    Level Graduate / Professional · For student, teacher · Language English

    Abstract

    This session is an intermediate-to-advanced level class that offers some ideas for how to approach the following common data wrangling needs in research: 1) Obtain data and load it into a suitable data “container” for analysis, often via a web interface, especially an API, 2) parse the data retrieved via an API and turn it into a useful object for manipulation and analysis, and 3) perform some basic summary counts of records in a dataset and work up a quick visualization.

    Keywords Analysis · Open Scholarship Tools and Technologies · Research Data Management Tools · Researchers