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7.4 Explaining a Result

How it works

A visualisation needs a sentence saying what the reader should take from it, and a good one states the limits as well as the finding.

Write one sentence of finding and one of caveat beside every chart you present.

Common error

Presenting a correlation with language that implies causation.

Worked example

Example

Club A: 12 visits
Club B: 18 visits
Club C: 9 visits
Observed period: one week
Records count visits, not unique people

A clear conclusion states the finding, the measurement unit, and the important limitation. Here B has the most recorded visits, but the data do not show that it has the most unique visitors or explain why it leads.

The clubs A, B, and C have 12, 18, and 9 recorded visits.
Category counts use a zero baseline; these are visits, not unique people.

Exercises

7.4.1 · Explain

Write one supported conclusion and one unsupported claim from the displayed data.

Show solution

Supported: club B recorded the most visits during the observed week. Unsupported: club B necessarily has the most distinct members or is preferred by all students.

7.4.2 · Explain

What additional information would help compare participation fairly across clubs of different sizes?

Show solution

Collect appropriate membership counts or unique-participant measures, define the time period, and consider a rate per eligible person while documenting missing or repeated records.

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