Using R and Python
Data Services Profile
We are here to help you find, use, manage, visualize and share your data. Contact us to schedule a consultation. View and register for upcoming workshops. Visit our website to learn more about our services.
Background
R and Python are two popular open-source data analysis tools. JHU Data Services runs introductory and intermediate workshops about these two programming languages. Current workshops include the following topics:
R series:
- Introduction to R for Absolute Beginners
- Data Cleaning in R
- Manipulating and Joining Data in R with dplyr
- Introduction to Data Visualization in R
- Interactive Data Visualization in R with Shiny
- Getting Started with R Markdown)
Python series:
- Introduction to Python for Absolute Beginners
- Data Wrangling in Python: Introduction to the pandas library
- Introduction to Data Visualization in Python
- Getting Started with Jupyter Notebooks for Reproducible Research
This guide covers resources mentioned in these workshops and some additional information for people who want to learn and use R and/or Python.
Join Our ListServ
Join our listserv! We send out a few emails each year to keep you updated on our workshops, events and data-related news. To join the listserv, send an email to dataservices-request@lists.johnshopkins.edu with 'subscribe' in the subject line. You'll receive confirmation when your email address has been successfully added.
Our Libguides
JHU Data Services supports members of the JHU community with a spectrum of resources for working with data. We have many guides to help you in your research and/or teaching endeavors:
| GIS & Maps | |
| Geospatial Concepts | An overview of introductory geospatial concepts |
| Esri Software Access | Information and links to download Esri software and data for the JHU community |
| Teaching GIS & Maps | Resources for JHU community members teaching GIS |
| Maps & Online Map Resources | Information on accessing Johns Hopkins University's map collection, and beyond |
Data Access |
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| Data and Statistics | Information on accessing data and statistics for a variety of subject areas |
Data Management & Analysis |
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| Data Management | Best practices for data management |
| Documenting Research Data | Collection of resources shared in Data Services' Documenting Your Research Data online module |
| Human Subject Identifiers | Introduction to concepts and techniques for protecting and removing human subject identifiers |
| Qualitative Data Analysis Software | Overview and resource links for qualitative data analysis software (QDAS) such as nVivo and ATLAS.ti |
| Using R and Python | Resources for learning and using R and/or Python in your research. |
Data Visualization |
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| Data Visualization | Guide for technologies, techniques, and best practices for data visualization. |
License
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These materials are licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License, attributable to Data Services, Johns Hopkins University. |