Are your sales count up or down? How much did it impact your daily revenue?

Is it common? Is it rare?

Density charts help you to see beyond simple averages to know if you need to take action. Decision-makers within companies have to focus on what matters. A simple average can't tell you when something is unusually good or bad. The density chart tells you how often something happens.

(density charts to detect trends) A density chart is the distribution of data over a continuous interval or time period.

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The Terms

Yesterday's Sales Count

Total sales count for yesterday.

% Sales Count Change

The change in yesterday's sales from the average of the last 4 weeks same day as yesterday sales as a percentage.

Impact on Revenue

The impact change in sales count has on total revenue.

The Math

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Yesterday's Sales Count

The total sales generated yesterday.

% Sales Count Change

If yesterday was "Sunday", then yesterday sales are compared with the average of previous 4 "Sunday's sales and represented as a percentage.

Impact on Revenue

Calculated by finding the regression coefficient for sales using linear regression multiplied with the change in sales (Eg-The difference between Sunday's sales & the previous 4 Sunday's sales multiplied with the regression coefficient), represented as a US dollar amount.

The Visuals

X axis (or horizontal axis)

Daily sales count

Y axis (or vertical axis)

How often the daily sales count occurred during the period. This is also known as frequency.

Blue Curved Line

Each daily sales count during the period shown on a smoothed line.

Blue Vertical Line

Yesterday's sales count.

The Updates

This report, like most others, updates once per day at 8 a.m. CET / GMT+2.

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The Filters

Default is 30 days like almost all reports