Pages:
9-Jan
Year:
2001
Publisher:
http://seamonkey.ed.asu.edu/~alex/teaching/WBI/EDA.html
Abstract:
This is a brief introducation to exploratory data analysis (EDA) and data visualization. You will come across several unfamiliar terms and graphs, but you don't have to fully understand them at this moment. The purpose of this write-up is to let you be aware that tools are available and what can be done. The philosophy and specific techniques of EDA will be introduced in further readings.
The CAUSE Research Group is supported in part by a member initiative grant from the American Statistical Association’s Section on Statistics and Data Science Education