Data Visualisation Mastery Worksheet

Name:

Date:

📊 Part 1: Choosing the Right Graph Type

1. Match each data set with the most appropriate graph type by drawing lines between them:

Data Sets:

Daily temperature in Auckland for 2 weeks

Favourite subjects of Year 8 students

Heights of students in centimetres

Number of goals scored each month by the school football team

Graph Types:

Bar graph

Dot plot

Time-series graph

2. Which type of data is best displayed using a dot plot?

Categorical data with many categories

Numerical data showing individual values

Data collected over time periods

Data comparing different groups

3. You want to show how the number of library books borrowed changes throughout the school year. Which graph type would be most appropriate and why?

✏️ Part 2: Constructing Graphs

4. Use the space below to construct a bar graph for this data about favourite lunch foods in Year 8:

Data: Pizza (15 students), Sandwiches (12 students), Sushi (8 students), Salad (5 students), Pasta (10 students)

Remember to include: title, axis labels, scale, and data bars

5. Create a dot plot for these test scores (out of 20): 12, 15, 18, 12, 16, 20, 14, 12, 17, 15, 13, 16, 18, 15, 14

6. List three essential components that every graph must have:

a) _____________________

b) _____________________

c) _____________________

🔍 Part 3: Interpreting Data Visualisations

7. Look at the following information about daily rainfall in Wellington:

Week 1: Mon: 2mm, Tue: 0mm, Wed: 5mm, Thu: 8mm, Fri: 3mm, Sat: 0mm, Sun: 1mm

Week 2: Mon: 4mm, Tue: 6mm, Wed: 2mm, Thu: 0mm, Fri: 7mm, Sat: 3mm, Sun: 2mm

a) What pattern or trend can you identify in this data?

b) Which day had the highest rainfall and could be considered an outlier?

Day: _____________ Amount: _____________

8. A student created a graph showing the number of students wearing different coloured shoes. The graph shows: Black (25), White (15), Brown (8), Red (3), Blue (2). What can you conclude about shoe colour preferences?

9. Reflection: Explain why choosing the correct graph type is important when presenting data. Use at least three statistical vocabulary words in your answer.