Discussion Question 1:
Many data science, analyst, and technology professionals have encountered regular expressions at some point. This esoteric, miniature language is used for matching complex text patterns, and looks mysterious and intimidating at first. However, regular expressions (also called "regex") are a powerful tool that only require a small-time investment to learn. They are almost ubiquitously supported wherever there is data.
What are regular expressions? Why are regular expressions useful? How would you use regular expressions in data visualizations?
Discussion Length (word count): At least 250 - 300 words (not including direct quotes).
References: At least two peer-reviewed, scholarly journal references.
Discussion Question 2:
Your initial post will be your answer to the Question and is to be 300 - 400 words with at least two references.
Case 1: Application Case 1.1: Sabre Helps Its Clients through Dashboards and Analytics
What is traditional reporting? How is it used in organizations?
How can analytics be used to transform traditional reporting?
How can interactive reporting assist organizations in decision making?
The response should include a reference list. Double-space, using Times New Roman 12 pnt font, one-inch margins, and APA style of writing and citations.