This workshop is designed for graduate students interested in exploring how Tableau can be applied to analyze and visualize textual data. While Tableau is traditionally known for numerical and categorical data, it is equally powerful in uncovering patterns in textual data, such as word frequencies, sentiment, and thematic trends. Participants will learn how to process, analyze, and visualize large bodies of text using Tableau, including techniques for transforming text into structured data that can be visualized. The workshop will also introduce tools and workflows that integrate Tableau with text processing tools such as Python, R, and data preparation software.
By the end of the workshop, participants will be able to extract meaningful insights from text data, visualize textual patterns, and use these visualizations to support their research in academic, business, or professional settings.
Workshop Objectives:
Introduce key concepts of text mining and analysis.
Teach participants how to structure, clean, and prepare text data for analysis in Tableau.
Demonstrate Tableau’s capabilities for visualizing textual patterns, including word clouds, frequency distributions, and thematic trends.
Show how to integrate Tableau with text processing tools like Python and R to enhance textual analysis.
Equip participants with best practices for presenting and interpreting textual data visualizations.
Expected Benefits to Students:
Textual Data Proficiency: Students will learn how to handle, clean, and structure textual data, making them proficient in working with various text-based datasets.
Enhanced Research Capabilities: Students will be able to incorporate textual analysis into their research, uncovering patterns in qualitative data such as academic papers, social media content, or customer feedback.
Visualization Skills: Students will learn how to present their findings in clear and visually engaging formats that make complex textual patterns easy to understand.
Cross-Tool Integration: Students will gain insights into how Tableau can work with other tools such as Python, and R, for advanced text processing, which is critical for handling unstructured data.
Prerequisite:
Having or creating a Tableau Student Account: https://www.tableau.com/academic/students
Introduction to Tableau for Data Visualization: https://guides.lib.purdue.edu/c.php?g=706710&p=10670806
Advanced Tableau Techniques: https://guides.lib.purdue.edu/c.php?g=706710&p=10670808
Tableau Sign-up link for students: Data Cleaning and Cleansing using Tableau
Tableau Public sign-up (Free for the anyone): Data Cleaning and Cleansing using Tableau