Snide Guide to Data Mining - LeFreq/Singularity GitHub Wiki

STUB

You like data, but you like knowledge better, right? You want to be ahead of the curve, a leader.

Table of Contents

Enemies:

  • ignorance of the domain: without knowing the domain you, the mastery of your data will elude you. Advice: get a job in the field of study where you will be bombarded by the data.
  • Impatience: A large amount of brain is coming together to unite domains of information into knowledge and wisdom. It takes time for the brain to do this. Rushing it creates errors and will waste your time. Advice: search for a bird's eye view.

Allies:

  1. Mastery of arithmetic: units analysis and simple arithmetic
  2. Analytical programming and statistics: procedures vs. ordering your data
  3. Visualization techniques: limits of number
  4. Greater responsibility to access more data: high-level systems approach vs. data entry clerical work

Pathways

As you explore data you see patterns. Tools like gplot and Apple's grapher allow you to use the huge data processing ability of the human visual cortex.

Tools: gplot, apple calc, lotus 1-2-3, SaS.

Conclusions

Defeating the first enemy, you become a master of your field(s). Defeating the second, you become an valued intelligence operative.

Taken together, you are a Data Maven whom no one can touch or argue with. Use your powers for the greater good, and you will be a respected hero. Try Snide Guide to Leadership.

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