Statistics for Engineers

Circonus Chief Data Scientist, Heinrich Hartmann, offers best practices for software engineers trying to analyze operations data.
whitepaper-statistics-for-engineers

Read this paper to learn about:

  • Preferred ways to visualize data with comparisons of rug plots, histograms, and scatter and line plots
  • Why high dynamic range histograms are a good choice for large-volume operations data with a wide range of values
  • How heat maps show the change of data distributions over time
  • When to use standard deviations, quantiles, and outliers
  • How to formulate and measure Service Level Agreements