Author: Jajwalya Karajgikar

Applied Data Science Librarian

Jaj engages with researchers across the disciplines interested in employing techniques for data storytelling, natural language processing, computational social sciences, data visualization, network analysis, and text mining. She works with campus partners to establish foundational programming in research computing, data literacy, and data ethics.

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Jaj Karajgikar, Applied Data Science Librarian and Rachel Liu, Text and Data Research Asistant presented the multiple faculty-led Data Visualization Projects, Text and Data Mining Workflows, Libguides, Literacy & Research material for consultations that they have built together over the course of almost 2 years of successful, camaraderie-filled collaboration as a mentor-mentee for Penn Libraries Presents series.

Journeying Through Exploration: My Research Portfolio with Research Data and Digital Scholarship Xiner ("Rachel") Liu Research Data and Digital Scholarship Text and Data Graduate Research Assistant 2022-2023 Incoming Ph.D. Student in Learning Sciences and Technologies University of Pennsylvania, Mentor: Jajwalya Karajgikar April 10, 2024

Roundup of the Fall 2023 semester sessions of RPenn Group

A Making of a Workshop summary for Speed Networking themed by Research Data and Digital Projects

Colorful version of a Google map of the area around the Penn Libraries.

Learn to visualize text analysis with Voyant Tools, maps with Storymap.js, and charts with Microsoft Excel alongside students of PROW 2000: Writing with Data

Voyant Tools, Storymap.js, & Excel logos against a backdrop of workers tools

Learn techniques to create compelling graphs and tell better stories.

Environmental Data, import using Tidy package in R, Data Analysis with R, RStudio, Transform, Visualize, Model, Carpentries, Communicate

Interested in retrieving data from the web? Learn how to scrape open data from websites with BeautifulSoup Python package along with the best practices.

Interested in building an online dashboard? Use RShiny to visualize your data in an interactive way and create engaging data analysis web applications.

Interested in making beautiful charts out of social network data? Visualize networks of communities, groups of entities, and glean information from the graphs for further network analysis using R packages igraph and NetworkD3.

Author: Jajwalya Karajgikar

Data Science Student Projects

RPenn Group Roundup Fall 2023

Speed Networking with RDDS

Visualizing with Voyant Tools, Storymap.js, and Excel

What’s Going On in this Graph? Environmental Data Visualization Literacy Workshop With R

Scraping Open Data from the Web with BeautifulSoup

Interactive Web Visualization with RShiny

Network Visualization with R

Staff Information