ABSTRACT
This chapter provides a staircase of twelve steps to ascend upon cracking open a dataset regardless of the application the datawork may entail. Bruce Ratner is a dataholic. He is also an artist and poet in the world of statistical data. Eliminating noise from the data is actioned by identifying the idiosyncrasies and deleting the records that define the idiosyncrasies of the data. After the data are noise-free, the anamodel reliably represents the sought-after essence of the data. The chapter illustrates the reveal of four data markings by using not only a minikin dataset but also by identifying the variable list itself. At the onset of a big data project, the sample size is perhaps the only knowable. The variable list is often not known; if so, it is rarely copy-pasteable. And for sure, the percentages of missing data are never in showy splendor.
