Love Data Week: Learn to Make Your Own Spotify WrappedExport this event to calendar

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Thursday, February 13, 2025 — 10:00 AM to 11:00 AM EST

Date: Thursday February 13, 2025

Time: 10 – 11 a.m.

Location: Online (Zoom)

Facilitators: Anneliese Eber (Research Data Management Librarian) and Antonio Muñoz Gómez (Cataloguing and Metadata Librarian)

Did you get a Spotify wrapped at the end of 2024? What kinds of data make that possible? Could you make a better wrapped by analyzing your own data? How about other platforms like Netflix, TikTok and others? In this online workshop, attendees will learn how different platforms and apps collect data about their users, how it can be requested and what you can learn about yourself by analyzing your data.

This Zoom workshop will combine a slide deck presentation and a demonstration working through a Jupyter Notebook to perform various tasks related to working with data from Spotify.

By the end of this workshop, participants will:

  • Understand the kinds of data being collected about them by various platforms and apps and how to request it
  • Understand the varying degrees of quality in the data obtained (what makes a good data set vs a not-so-good one?) and why it is important to have good data quality and documentation when working in their own research
  • Understand aspects of data literacy using a dataset from Spotify as an example (e.g., obtaining data, analysis and visualization)

Please register to receive the online event link and help us understand specific disciplinary considerations. The workshop will be recorded. The workshop recording, presentation slides and other materials (Jupyter Notebook) will be made available to registrants after the session.

If you have accommodation requests or questions, reach out to Anneliese Eber (aeber@uwaterloo.ca) or Antonio Muñoz Gómez (ra2munoz@uwaterloo.ca) with your needs.

Register now

S M T W T F S
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  1. 2025 (27)
    1. March (6)
    2. February (14)
    3. January (7)
  2. 2024 (48)
    1. November (10)
    2. October (12)
    3. September (1)
    4. June (2)
    5. May (1)
    6. March (9)
    7. February (8)
    8. January (5)
  3. 2023 (31)
  4. 2022 (11)
  5. 2021 (37)
  6. 2020 (68)
  7. 2019 (90)
  8. 2018 (208)
  9. 2017 (115)
  10. 2016 (59)
  11. 2015 (71)
  12. 2014 (44)