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Percentage change

As explained in The Well-Grounded Data Analyst

Percentage change is the relative increase or decrease between an initial value and a later value, expressed as a percentage.

Percentage change measures relative movement between an initial and later value. For product sales, it exposes shifts that absolute volume differences can hide, especially across products with very different sales levels. section 4.4.3

A practical analysis workflow is:

  • Add minimum-volume thresholds when small baselines create misleadingly large percentages. section 4.4.3

Why the denominator matters

Increasing sales from one item to five produces a 500% change, while increasing sales from 500 to 1,000 produces a smaller percentage change but represents many more additional sales. Treat the percentage alongside baseline volume. section 4.4.3

How The Well-Grounded Data Analyst covers it

How deep it goes
Calculates, visualizes, cleans, and qualifies percentage change, while stopping short of a general statistical treatment.
Examples
Contrasts sales changes from one to five items and from 500 to 1,000 items, then filters product performers by volume thresholds.
What it assumes
Assumes paired monthly sales volumes and teaches the denominator’s practical effect through product examples.
What you can do after
Apply it via pandas and NumPy to calculate, visualize, clean, and filter month-on-month product-sales changes.
How it connects
Connects percentage change to absolute change, histograms, missing values, division by zero, and sales-volume analysis.

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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.