Exploratory Data Analysis

@inproceedings{Shekhar2008ExploratoryDA,
  title={Exploratory Data Analysis},
  author={S. Shekhar and Hui Xiong},
  booktitle={Encyclopedia of GIS},
  year={2008}
}
We were together learning how to use the analysis of variance, and perhaps it is worth while stating an impression that I have formed-that the analysis of variance, which may perhaps be called a statistical method, because that term is a very ambiguous one — is not a mathematical theorem, but rather a convenient method of arranging the arithmetic. Just as in arith-metical textbooks — if we can recall their contents — we were given rules for arranging how to find the greatest common measure, and… Expand
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References

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-2 -> original^3, 0.5 -> sqrt(original), 2 -> 1/original • Combining several variables • Normalize measurements
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• Exploratory Data Analysis, Tukey, (1977) • Data Analysis and Regression
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Newcomb 1881) The logarithms of the values (not the values themselves) are uniformly randomly distributed
  • Newcomb 1881) The logarithms of the values (not the values themselves) are uniformly randomly distributed
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> (abs(preen -m) < s) + 0
  • > (abs(preen -m) < s) + 0
> round(sum(abs(preen -m) < 2 * s)/n * 100)
  • > round(sum(abs(preen -m) < 2 * s)/n * 100)
> round(sum(abs(preen -m) < 3 * s)/n * 100)
  • > round(sum(abs(preen -m) < 3 * s)/n * 100)
> round(sum(abs(preen -m) < s)/n * 100)
  • > round(sum(abs(preen -m) < s)/n * 100)
> sum(abs(preen -m) < 2 * s)
  • > sum(abs(preen -m) < 2 * s)
> sum(abs(preen -m) < 3 * s)
  • > sum(abs(preen -m) < 3 * s)
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