Price vs units sold
Does a lower price actually sell more?
Scatter plots are for two measured quantities, not for time. Each dot is a price point that was actually tested, and the downward drift is the demand curve.
Open in the editorScatter plot
Plot two variables point by point to reveal correlations, clusters and outliers.
8 scatter plot examples
Campaign spend vs revenue
Every campaign as a single point.
Two clusters, one line of best fit. The dots far below the trend are the campaigns to switch off before the next budget cycle.
Open in the editorHours worked vs output
Effort against delivered work, one dot per week.
The dots flatten past fifty hours. Plotting it instead of arguing about it is how a team wins a working-hours conversation.
Open in the editorHeight vs weight
The classic correlation sample.
The dataset every statistics course opens with, because the correlation is strong, obvious, and not causal in the direction people assume.
Open in the editorBundle size vs load time
How JavaScript weight hurts speed.
Each dot is a deployed build. The relationship is close to linear, which turns a performance budget into an arithmetic problem.
Open in the editorSalary vs years of experience
Compensation against time in the role.
Compensation bands make more sense as a cloud than a table: the outliers above and below the trend are the review conversations.
Open in the editorTemperature vs daily sales
The weather's effect on a shop's takings.
Ice-cream economics. Each dot is one trading day, and the curve upward past twenty-five degrees is a staffing decision.
Open in the editorTraffic vs signups by page
Does more traffic mean more accounts?
One dot per landing page. Pages well above the trend deserve more traffic; pages well below it deserve a rewrite.
Open in the editor