Students tackle questions designed to enhance their skills in interpreting and analysing data from various sources. They examine data sets, graphs, and charts, drawing conclusions and making predictions based on the information presented. This practice is critical for developing their ability to discern patterns, trends, and anomalies within data, preparing them for data-driven decision-making in academic and professional settings.

This collection of questions examines various methods for representing data, including bar graphs, pie charts, line plots, and scatter plots. Students evaluate the advantages and disadvantages of each representation and learn to select the most appropriate one for different scenarios. These exercises enhance their ability to effectively communicate data visually, ensuring clarity and impact.

Students engage in creating their own data representations using given data sets. They practice selecting the appropriate graph or chart type, organising data logically, and ensuring their visualisations are clear and accurate. These questions encourage students to think critically about how data is presented and to develop skills in data visualisation, which is essential in many fields such as business, science, and technology.