Unit Organise, visualise and analyse

Year level: 9-10 Topic: Data: Collect, organise and create Time: 10 hours

Data visualisation is the presentation of numerical data pictorially or graphically so that users can more easily make sense of complex data to identify patterns and trends. Usually, data visualisations allows input of new sets of data (or circumstances) so that the solution can model the effects of that changed data. When working with large amounts of data, tools are needed (for example, a spreadsheet or programming language such as Python) to manage the volume of information and get the most value from it. Databases enable data to be stored so it can be efficiently and reliably retrieved using relevant queries. When students are asked to respond to meaningful questions that they want to answer, they will be engaged when applying their understandings and developing their skills of data analysis and visualisation.

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