Presentation 2020-06-13
Development of Teaching Materials for Data Processing Exercises Using Public Data
Katsumi Yoshine,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In data processing exercises, real data will bring out learners interest than fictitious data. In this paper, we introduce two cases of developing teaching materials for data processing exercises from public data using web scraping technology for students in the Faculty of Economics. One is land price information obtained from Land Market Value Publication by the Ministry of Land, Infrastructure, Transport and Tourism, and the other is job information provided by Employment Security Bureau, Ministry of Health, Labor and Welfare. We will extract some data from the individual data and generate a CSV file that can be used as an example for data processing exercises.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Public Data / Official Statistics / Data Processing Exercise / Statistics Education / Web Scraping
Paper # ET2020-3
Date of Issue 2020-06-06 (ET)

Conference Information
Committee ET
Conference Date 2020/6/13(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Nagoya University
Topics (in Japanese) (See Japanese page)
Topics (in English) Development of Education System, etc.
Chair Hideyuki Suzuki(Ibaraki Univ.)
Vice Chair Yasuhiro Fujihara(Hyogo College of Medicine)
Secretary Yasuhiro Fujihara(Soka Univ.)
Assistant Ryo Oonuma(Fukushima Univ.) / Sho Yamamoto(Kinki Univ.)

Paper Information
Registration To Technical Committee on Educational Technology
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Development of Teaching Materials for Data Processing Exercises Using Public Data
Sub Title (in English)
Keyword(1) Public Data
Keyword(2) Official Statistics
Keyword(3) Data Processing Exercise
Keyword(4) Statistics Education
Keyword(5) Web Scraping
1st Author's Name Katsumi Yoshine
1st Author's Affiliation Nanzan University(Nanzan Univ.)
Date 2020-06-13
Paper # ET2020-3
Volume (vol) vol.120
Number (no) ET-64
Page pp.pp.11-14(ET),
#Pages 4
Date of Issue 2020-06-06 (ET)