A simulated product-sales dataset: one sale for each month of 2015-2024 in
each of six regions (720 rows), with each year's sales split evenly across
three product lines. Units sold follow a trend per product line (Gadgets
growing, Widgets flat, Doohickeys declining), peak in November and December,
and scale by region. Revenue is units times a per-product unit price, so
revenue against units falls on one line per product line. Two sales are
planted outliers: Sale_352, a promotion that shifted far more units than
usual, and Sale_540, a clearance sale at well under half price. Designed
to showcase the scatter, line, parallel coordinates and pie plot modules.
Format
A data frame with 720 rows and 8 columns:
- region
Region of the sale (factor: North, South, East, West, Central, International)
- revenue
Revenue of the sale (thousands of USD)
- year
The year (factor: 2015-2024)
- month
The month (factor: Jan-Dec)
- units
Units sold (integer)
- sale_id
Unique sale identifier
- product_line
Product line (factor: Gadgets, Widgets, Doohickeys)
- profit
Profit on the sale after a fixed overhead (thousands of USD; negative for a few low-volume Doohickey sales)