Quotes
- If we need a short suggestion of what exploratory data analysis is, I would suggest that
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- It is an attitude AND
- A flexibility AND
- Some graph paper (or transparencies, or both).
- No catalogue of techniques can convey a willingness to look for what can be seen, whether or not anticipated. Yet this is at the heart of exploratory data analysis. The graph paper - and transparencies - are there, not as a technique, but rather as recognition that the picture-examining eye is the best finder we have of the wholly unanticipated.
- A D Gordon offered the following summary of Tukey's principles for statistical practice:
- ... the usefulness and limitation of mathematical statistics; the importance of having methods of statistical analysis that are robust to violations of the assumptions underlying their use; the need to amass experience of the behaviour of specific methods of analysis in order to provide guidance on their use; the importance of allowing the possibility of data's influencing the choice of method by which they are analysed; the need for statisticians to reject the role of 'guardian of proven truth', and to resist attempts to provide once-for-all solutions and tidy over-unifications of the subject; the iterative nature of data analysis; implications of the increasing power, availability and cheapness of computing facilities; the training of statisticians.
- Far better an approximate answer to the right question, which is often vague, than an exact answer to the wrong question, which can always be made precise.
- Once upon a time statisticians only explored. Then they learned to confirm exactly - to confirm a few things exactly, each under very specific circumstances. As they emphasized exact confirmation, their techniques inevitably became less flexible. The connection of the most used techniques with past insights was weakened. Anything to which a confirmatory procedure was not explicitly attached was decried as 'mere descriptive statistics', no matter how much we had learned from it.
- There is no data that can be displayed in a pie chart, that cannot be displayed BETTER in some other type of chart.
Read more about this topic: John Tukey
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