Data doesn't have to be serious. Learning data analysis doesn't have to be hard. In this workshop we'll use data to investigate how JHU is represented in the movies. Along the way we'll learn how to move from curiosity to a research question, to data analysis and a conclusion.
Website: dataservices.library.jhu.edu/
Contact us: dataservices@jhu.edu
JHU Data Services, part of the Johns Hopkins University Sheridan Libraries, helps the JHU community find, use, visualize, manage, and share data. We offer live webinars and self-paced online trainings on computational research and coding, GIS, data management, data visualization, and more. See all of our training topics on our website.
This repository contains materials for a live webinars presented during Love Data Week 2026. Please contact us with any questions.
All Data Services workshops are held virtually on Zoom. See our calendar to register for upcoming workshops.
Before the class, follow the Python Installation Instructions to download Anaconda and Jupyter Notebooks onto your computer. Use our Jupyter Notebook Tutorial to learn the basics of opening and running Jupyter Notebooks. You can view the Jupyter Notebook Tutorial online here.
To download the materials for the course, clone this repository with the command below in Anaconda Prompt or other Terminal application:
git clone https://github.com/jhu-data-services/unserious-data-jhu-in-film.git
Or, hover over the green "code" button above and select "Download ZIP." Then, unzip the downloaded files and move the folder somewhere you can access them easily.
images: This folder contains images used in the Jupyter NotebooksIMDB: This folder contains the IMDB data we will work with over the course of the workshopIPEDS_Raw: This folder contains the acceptance rate data we will work with over the course of the workshoptitles-pre-workshop-cleaning.ipynb: This Jupyter notebook shows the cleaning steps taken by instructors before the workshop to prepare the workshop data. We will not go over this during the workshop, but you're welcome to look through it if curious.unserious-data-walkthrough.ipynb: This Jupyter notebook where we will write code for data preparation, analysis, and visualization together over the course of the workshop.unserious-data-walkthrough-completed.ipynb: This Jupyter notebook contains the completed code from the Unserious Data workshop.
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The presentation materials are licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0), attributable to Data Services, Johns Hopkins University.
Please cite this material as:
Johns Hopkins University Data Services. [Date of workshop]. Unserious Data: JHU in Film. https://github.com/jhu-data-services/unserious-data-jhu-in-film.