Turning pharmacy data into clear visuals that support safer prescribing, better decisions, stronger audits and more confident UK pharmacy interviews.
Data visualisation means presenting data as charts, graphs, dashboards or visual summaries so people can understand the message quickly.
Identify high-risk prescribing, incidents, allergies, interactions or overdue reviews.
Track antibiotic prescribing, medicines optimisation and clinical interventions.
Monitor stock, shortages, workload, dispensing volume and service activity.
Explain findings clearly to managers, GP practices, NHS teams or interview panels.
Tables are useful, but the pattern is not always obvious immediately.
| Month | Antibiotic prescriptions |
|---|---|
| January | 150 |
| February | 160 |
| March | 170 |
| April | 310 |
The April spike becomes immediately visible.
| Question | Best chart | Pharmacy example |
|---|---|---|
| Which category is highest? | Bar chart | Most dispensed medicine |
| Is something increasing or decreasing? | Line chart | Antibiotic use over months |
| What percentage of the whole? | Pie chart | Share of services delivered |
| Are two things related? | Scatter plot | Age and number of medicines |
Best when comparing different items or groups.
Lines imply movement or sequence, which is misleading for unrelated categories.
Best when the order matters: days, weeks, months or years.
A pie chart hides the direction of change over time.
Works when each slice is part of one total, such as service activity mix.
Too many slices become hard to compare. A bar chart is usually clearer.
Each dot can represent one patient. This helps reveal relationships or risk patterns.
A bar chart hides the relationship between two numeric variables.
Line chart showing monthly prescribing volume.
Bar chart ranking patients or practices by review backlog.
Pie or bar chart showing types of pharmacy services delivered.
Scatter plot or risk matrix showing patients needing attention.
A pharmacist could use one dashboard to decide where to focus clinical time this week.
The dashboard does not replace clinical judgement. It helps the pharmacist prioritise the right patients and services first.
Every chart should answer one clear question.
A beautiful chart can still be misleading.
The title should explain the message, not just name the data.
Data becomes information. Information becomes insight. Insight improves patient care.