Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.12202/8245
Title: | Seforim Sale Data Analytics |
Authors: | Medina, Patricia Rosenthal, Zechariah |
Keywords: | YU seforim sale data analytics capstone |
Issue Date: | May-2022 |
Publisher: | Yeshiva University |
Citation: | Rosenthal, Z. (2022, May). Seforim Sale Data Analytics. Undergraduate honors thesis, Yeshiva University. |
Series/Report no.: | The Jay and Jeanie Schottenstein Honors Theses;May 2022 |
Abstract: | Motivation Annually, YU students run the largest sale of Jewish books ("seforim") in North America. Endeavors such as this involve a lot of logistics and a lot of collected data, so I want to leverage that data both to increase efficiency of the business as well as to learn interesting information about the consumer body. Outline The goal of this Capstone is to complete an entire Data Science "lifecycle" project on the YU Seforim Sale and to produce a written report on the results. This required six steps: Background, Data, Cleaning, Modeling, Deployment, Visualizations. |
Description: | Undergraduate honors thesis / Open Access |
URI: | https://hdl.handle.net/20.500.12202/8245 |
Appears in Collections: | Jay and Jeanie Schottenstein Honors Student Theses |
Files in This Item:
File | Description | Size | Format | |
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Zechariah Rosenthal ZR Honors Thesis OA May 2022.pdf | 501.21 kB | Adobe PDF | View/Open |
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