Data Analysis

Star trek data

Star trek data
Why do data analysis? Brilliantly put in the movie Moneyball, it’s so we can get past biases and to to truth. We must be careful. The goal isn’t to eliminate judgement. We want to use data to make better decisions.

Using Data to Make Better Decisions

Great TED presentation on using data to make better decisions.

Outline for Performing Data Analysis

  • Discrete Data Tools & Examples
    • Discrete / Attribute / Categorical
      • Yes / no. Pass / fail. IGO / NIGO.
      • Is counted
        • Percentages & Ratios
        • Categories
    •  Survey answers (scaled 1-10)
      • Good for failure analysis / making decisions (good vs bad; correct vs incorrect; accepted vs rejected)
      • Tools
  •  Defects / Defectives vs Fixed / Varying

Continuous Data Tools & Examples

  • Continuous / Variable
    • Can be subdivided / exists on a continuum.
      • Ex. Weight, speed, temp, time, cost
    • More options to answer a question because the scale can be repeatedly broken down.
      • Ex 5k times
    • Tools
      • Vs nothing / itself (frequency)
    • Types +use when
      • All: show relative frequency
    • Dot plots
      • Fine distinctions needed
      • Small size
    • Box plots
      • Focus on the size of the percentiles
      • Large / broad distributions of data
    • Histograms
      • Provides a clear shape
      • Use when the overall shape is more important than the individual values
      • Used with larger data sets
  • Example
  • Possible outcomes to watch for
  • All
    • Shows time-related patterns (trends, shifts, etc)
  • Run Charts
  • Control Charts
    • Continuous Driver
  • Scatter plots


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