Fundamentals of Data Science: Creation of DandD Instance Library

2016 Fiscal Year Final Research Report

• Project/Area Number: 26330048
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Statistical science
• Research Institution: Keio University
• Principal Investigator: Shibata Ritei 慶應義塾大学, 理工学部(矢上), 名誉教授 (60089828)
• Co-Investigator(Renkei-kenkyūsha): YOKOUCHI Daisuke 一橋大学, 国際企業戦略科, 准教授 (50407144)
• Research Collaborator: SHIMADZU Hideyasu フラバラ大学, 専任講師 ; Thomson Peter ニュージーランド・SRA, ディレクター
• Project Period (FY): 2014-04-01 – 2017-03-31
• Keywords: TextilePlot / DandD / R / Environment / TRAD

Outline of Final Research Achievements

Aiming at further development of data science, fundamentals of data science are investigated. The result is implemented as a software environment TRAD, which is
an integrated environment of TextilePlot, R and DandD(Data and Description), which is an XML instance which supports full use of variety of data scattered over internet, TextilePlot is an advanced software to visualize data as it is, and R is well known software to execute a deep data analysis. Seamless combination of such three elements enables everyone to do efficient and advanced data analysis to find a model for underlying penomena. We also created a DandD instance library based on open source data "Patient survey" conducted by Ministry of Health and Labor, Japan.

Free Research Field

Data Science