Franklin College of Arts and Sciences

Description:

Description:

Interested in creating good visualizations for your research but unsure how to get started? This beginner-friendly workshop introduces the fundamentals of turning data into aesthetically pleasing graphics using Python’s most popular visualization libraries. You’ll apply core plotting concepts and create basic charts to communicate your findings effectively. No prior coding or visualization experience is required. This session was designed to give you the essential tools to begin visualizing data with confidence.

Presenter:

Description:

Explore the rich world of primary sources in this interactive workshop! 

Participants will learn how to discover and analyze original materials—such as letters, diaries, newspapers, and government documents—using tools like Adam Matthew’s curated digital collections.

This workshop pairs well with the Spooky Making workshop for crafting, making Zines, and more!

Want to run statistical analyses in Python but not sure which tools to use? This workshop walks you through how to carry out statistical analyses in Python – focused on the coding tasks and not on how to interpret your results. Learn to generate frequency tables and correlation matrices using Pandas, perform regression models (Linear, OLS, and Logistic) with Statsmodels, and export clean, publishable tables for your manuscripts.

Topics covered:

Curious about what your data can show? This beginner-friendly workshop is the perfect next step after learning the basics of Python. You’ll get hands-on experience creating simple plots using Pandas and Matplotlib, and explore the powerful Pyplot and Seaborn libraries. Learn how to customize your visualizations to better tell the story in your data and how to save your plots for future use. No advanced coding knowledge required! Join us in this workshop to bring your data to life.

Topics covered:

Curious about using Python for your research but not sure where to start? This beginner-friendly workshop is designed to make your first steps in Python smooth and accessible. We will teach you how to assign and work with variables, use simple functions and libraries, and handle data with Pandas. No coding experience required. This is not a technical session on installing Python or how the language works on computers – just the essentials to start using Python with confidence.

Walk-in research data consultations are back! Bring your research data or digital scholarship projects, and ask the RCDM team about text and data analysis, GIS mapping, and data visualization tips and tools -- including R, Python, Excel, ArcGIS, QGIS, and ggplot2.

Serving two locations:

Curious about turning your data into engaging graphs? This workshop will introduce you to Python and popular visualization tools like Matplotlib and Seaborn. You’ll learn how to load datasets, create charts, and customize your visuals - no prior coding experience needed.

Presenter:

• Larissa do Carmo Inacio, RCDM Graduate Assistant

A practical webinar on finding data for academic research. This session will equip you with the tools and strategies to uncover high-quality, relevant datasets.

Presenters:

• Elizabeth White, Humanities & Social Sciences Librarian
• Meagan Duever, GIS Librarian