1997 Fiscal Year Final Research Report Summary
Development of Visual Programming Environment for Exploratory Data Analysis
| Project/Area Number |
07558149
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| Research Category |
Grant-in-Aid for Scientific Research (A)
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| Allocation Type | Single-year Grants |
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| Section | 展開研究 |
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| Research Field |
Statistical science
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| Research Institution | HOKKAIDO UNIVRSITY |
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Principal Investigator |
SATO Yoshiharu Hokkaido Univ., Fac.of Eng., Pro., 大学院・工学研究科, 教授 (80091461)
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| Co-Investigator(Kenkyū-buntansha) |
MINAMI Hiroyuki Otaru Univ.of Com., Asso.Pro., 商学部, 助教授 (80261395)
IMAI Hideyuki Hokkaido Univ., Fac.of Eng., Inst., 大学院・工学研究科, 助手 (10213216)
SHIOYA Hiroyuki Hokkaido Univ., Fac.of Eng., Inst., 大学院・工学研究科, 助手 (90271642)
MURAI Tetsuya Hokkaido Univ., Fac.of Eng., Asso.Pro., 大学院・工学研究科, 助教授 (90201805)
MIZUTA Masahiro Hokkaido Univ., Fac.of Eng., Asso.Pro., 大学院・工学研究科, 助教授 (70174026)
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| Project Period (FY) |
1995 – 1997
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| Keywords | Statistical Package / Visual Data Analysis / Statistical Graphics / Neural Networks |
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| Research Abstract |
In computer science, "Visualization" is one of the most attractive keywords. "Visualization" is useful not only to reveal data but to deal with analysis processes. Statisticians are often forced to apply many methods to the same data in their analysis since they wants to find the most reasonable result. A lot of results they made, however, may perplex them. If they can view an analysis flow (made of some statistical methods) on the graphical display, they can easily find the relations between data and applied methods. It is called "Visualization of Execution."
As we described, "Visualization" has much power then we try to build "Visual Environment, " which synthesizes both "Visualization" merits. In short, our target is to build the system which can view, display data and construct analysis flows and execute them in the sameenvironment. In the system, if we can add and execute some statistical methods in an analysis flow, we can easily change some methods or apply another procedure to the original data or intermediate ones.
We had already developed the prototypes and now improve it on the workstation with Tcl/Tk environment for its interoperability. In addition, this idea is also effective for novices in statistics but they have less knowledge on statistics then may make a meaningless statistical flow. We have already recognized this problem and tried to add a supporting module which makes use of technique on knowledge engineering.
Especially, in the process of the research project, we have investigated the hard/software for the visual programming environment and have discussed the critical issues for the practical use of the environment
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