Paper Info
Title
Teach and try: A simple interaction technique for exploratory data modelling by end users
Abstract
The modern economy increasingly relies on exploratory data analysis. Much of this is dependent on data scientists - expert statisticians who process data using statistical tools and programming languages. Our goal is to offer some of this analytical power to end-users who have no statistical training through simple interaction techniques and metaphors. We describe a spreadsheet-based interaction technique that can be used to build and apply sophisticated statistical models such as neural networks, decision trees, support vector machines and linear regression. We present the results of an experiment demonstrating that our prototype can be understood and successfully applied by users having no professional training in statistics or computing, and that the experience of interacting with the system leads them to acquire some understanding of the concepts underlying exploratory statistical modelling.
Year
DOI
Venue
2014
10.1109/VLHCC.2014.6883022
Visual Languages and Human-Centric Computing
Keywords
Field
DocType
data analysis,decision trees,neural nets,regression analysis,support vector machines,data processing,data scientists,decision trees,exploratory data analysis,exploratory data modelling,linear regression,neural networks,programming languages,spreadsheet-based interaction technique,statistical modelling,statistical tools,support vector machines,teach-and-try technique
Interaction technique,Data modeling,Data analysis,Computer science,Theoretical computer science,Test data,Artificial intelligence,Statistical model,Statistical inference,Missing data,Exploratory data analysis,Machine learning
Conference
ISSN
Citations 
PageRank 
1943-6092
5
0.52
References 
Authors
4
4
Name
Order
Citations
PageRank
Advait Sarkar1224.64
Alan F. Blackwell22042177.34
Mateja Jamnik315830.79
Martin Spott47114.53