Data Analysis - EDA - 《Datapedia》

The concepts of exploring a data set visually were pioneered by John Tukey in the 1960s and 1970s. Tukey consolidated his many ideas on data exploration into a book in the late 1970s, John Tukey, Exploratory Data Analysis, 1977, Addison-Westley.
Bill Cleveland documented his seminal work in visualization of complex data sets in his book, William S. Cleveland, Visualizing Data, 1993, Hobart Press.
Edward Tufte is well know for his different take on data exploration and visualizaion. His first book outlined many of his key ideas: Edward Tufte, Envisioning Information, Graphics Press, 1990. His more famous book first appeared in 1993, and is still widely available: Edward Tufte, Envisioning Information, 2nd Edition, Graphics Press, 2001.
The key concept of exploratory data analysis (EDA) or visual exploration of data is to understand the relationships in the data set. Specifically using visualization when you approach a new data set you can:
- Explore complex data sets, using visualization to develop understanding of the inherent relationships.
- Use different chart types to create multiple views of data to highlight different aspects of the inherent relationships.
- Use plot aesthetics to project multiple dimensions.
- Apply conditioning or faceting methods to project multiple dimensions.