Lesson Plan

• Identify the purpose of a visualisation and match it to an appropriate graph or chart type.
• Analyse data characteristics (type, number of variables, distribution) to decide the most suitable chart.
• Create a graph using ICT software and justify the choice based on audience and clarity.
• Evaluate the effectiveness of a selected graph and suggest improvements if needed.

• Projector or interactive whiteboard
• Computer with spreadsheet/graphing software (e.g., Excel, Google Sheets)
• Printed handouts of data sets and graph‑selection guide
• Decision‑flowchart poster for selecting graph types
• Whiteboard and markers

Begin with a quick poll: “Which graph would you use to show how your favourite sport’s scores change over a season?” This activates prior knowledge of common charts. Review the key reasons for choosing the right visualisation (clarity, audience, data type). Explain that by the end of the lesson students will be able to select and justify the best graph for any data set.

1. Do‑now (5'): Students match sample data statements to a graph type on a mini‑quiz.
2. Mini‑lecture (10'): Explain purpose, data types, and number of variables; introduce the decision flowchart.
3. Guided practice (15'): Work through three example scenarios using the flowchart, discussing choices as a class.
4. Pair activity (15'): Each pair receives a new data set, creates the appropriate graph in the software, and writes a brief justification.
5. Gallery walk & peer feedback (10'): Pairs display their graphs; classmates comment on clarity and suitability.
6. Exit ticket (5'): Individually write the graph type they would choose for a fourth data set and one reason for the choice.

Recap the four key questions to ask when selecting a graph (purpose, data type, number of variables, audience). Collect exit tickets to assess understanding and assign a homework task: students must find a real‑world data set, select a graph, and prepare a short justification for the next lesson.