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Month-over-month comparison

As explained in The Well-Grounded Data Analyst

Month-on-month change is the difference in a measure between one month and the preceding month.

A month-over-month comparison measures the difference between one month and the preceding month. For a product’s sales volume, compare November with December to find products that grew during a sale period. section 4.4.3

Build a useful comparison by checking the metric and its assumptions:

  • Start with absolute change, then inspect its distribution for outliers and values centered around zero. section 4.4.3
  • Use percentage change when product sizes differ, calculating 100 × change divided by the preceding month’s volume. section 4.4.3
  • Remove missing and infinite percentages, and treat division by zero as a separate case rather than an ordinary percentage increase. section 4.4.3

December sale analysis

Compare each product’s November and December volumes, examine the percentage-change histogram, and select products exceeding a 200% increase with more than 10 November sales. Handle products with no November sales using a separate December-volume threshold, then join category, subcategory, and brand information for interpretation.

How The Well-Grounded Data Analyst covers it

How deep it goes
Explains absolute and percentage calculations, distributions, outliers, missing values, infinity, and minimum-volume filters.
Examples
Uses November-to-December product volume, histograms, percentage changes, and category, subcategory, and brand rankings.
What it assumes
Assumes product-level monthly volumes and a defined preceding-month comparison, while teaching metric choice and data-quality handling.
What you can do after
Evaluate product growth by calculating, filtering, visualizing, and interpreting month-over-month changes.
How it connects
Connects product metrics with revenue, unique users, sales volume, outliers, conversion rate, and data quality.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of The Well-Grounded Data Analyst. The section links point to the parts of the book it draws on.