Library and Information Science Commons^™

Tapping Twitter Data For Analyzing And Visualizing Public Sentiments On Censorship, Naveen Kumar Yadav, Akhilesh K.S. Yadav

Library Philosophy and Practice (e-journal)

The main objective of this research study is to analyse and visualize Twitter data with tags “#Censorship”. A connection was established with twitter using Twitter API, and receiving the tweets on Google Spreadsheets. Data visualization was performed using various tools such as Voyant Tools, Tableau, Google Spreadsheet and Orange in order to generate different visualizations based upon, language, geographical areas, retweets etc. The sentiment analysis was performed for the sentiments that were attached to the given set of data by the public in their respective tweets. The 23680 tweets were retrieved during the data collection time and there were 13,771 …

Data Visualization & Why It Is Important To Get It Right: Tools You Can Use, Sandy Avila

Faculty Scholarship and Creative Works

This was presented at STELLA (Science, Technology, and Engineering Library Leaders in Action) Unconference 2020 for their Lightning Round session on Friday, October 9, 2020. The presentation abstract is below:

Have you ever asked yourself why spending the time to visualize your data findings is important and where to start when looking for data visualization tools? How about wondering what kind of chart or slide might make a more compelling visualization to showcase your data? In this informative lightning round session, useful tools and resources will be shared along with why it is important to get it right. Don’t be …

Data Visualization: The What, Why, & How, Sandy Avila

Faculty Scholarship and Creative Works

This presentation was part of UCF Libraries' Office of Scholarly Communication Stay Savvy with Scholarly Communication session for the summer of 2020. This session was as introduction to what data visualization is, some background on out of the box tools and software people can use to create visualizations, while providing an overview of why we visualize data.

Automating Collection Analysis Data Visualization In Jupyter Notebook: What's Possible And Why Would You Do It, Pat Lienemann, Luwis A.R.R. Andradi, Nat Gustafson-Sundell, Evan Rusch

Library Services Publications

NOTE: In order to see the full presenter’s notes, you must download and open in Acrobat Reader. The presenter’s notes will be cut-off if the PDF is viewed in some browsers.

Data visualizations help librarians see through the clutter of collection analysis metrics, and can be very useful for outreach to academic partners. Automating the production of data visualizations in Jupyter Notebook from standardized data inputs enables us to produce more reports for more academic departments, which increases our impact.

Data (Mis) Visualization And Its Impact On Academic Advancement And Public Understanding, Nicole R. Webber, Margarita Shawcross, Dale Edwards, Rob Reinsvold, Jingying Crystal Zhen

Society for the Academic Study of Social Imagery

Cultures across the globe are increasingly visual—whether this be due to the popularity of video streaming, advances in the graphic arts, or the rise of accessible software, apps, and other technologies. In fact, while globalization endures as a prominent force, it seems that the rather universal languages of images and numbers do as well. Visualizations—in particular data visualizations—are valued for their efficiency in communicating messages and their efficacy in spurring emotion and instigating action. This gives such images great power.

Although all media consumers must ultimately be accountable for their own ability to interact responsibly with the visual media, educators …

The Ballad Of The Librarian & The Infographic: A Tale Of Data Visualization, Caitlin A. Bagley

LOEX Conference Proceedings 2013

No abstract provided.