Students practice extracting and interpreting information from various types of graphs such as bar charts, line graphs, and pie charts. They learn to identify trends, compare data sets, and draw conclusions based on graphical representations. This skill is critical for analysing data across disciplines, from business analytics to scientific research, where visual data presentation is a key component of communication and decision-making.

Students explore different types of graphs and their specific applications. They study how bar graphs are ideal for comparing quantities, line graphs are used for showing changes over time, and pie charts represent proportions within a whole. By understanding the uses and limitations of each graph type, students become proficient in choosing the appropriate graphical representation for different data sets and contexts.

Students engage in creating their own graphs using data sets and then analyse these visual representations. They learn the importance of scale, labeling, and choosing the right type of graph for the data. These activities not only improve their ability to communicate information visually but also enhance their analytical skills, as they interpret and critique graphs for accuracy and effectiveness in conveying information.