Year 9-Lesson 1-Delving into Data Science

Year 9 Unit 4 Data science ICT Lesson 1 Delving into data science  Starter activity Interpret the data What is this data showing you? AS Resource – Mindard data...

Year 9 Unit 4 Data science ICT Lesson 1 Delving into data science  Starter activity Interpret the data What is this data showing you? AS Resource – Mindard data What information can you extract from it? Does it tell you a story? Think/pair/share. 2  Outcomes In this lesson, you will: Define data science Explain how visualising data can help us to identify patterns and trends in order to gain insights Use an appropriate software tool to visualise data sets an look for patterns or trends 3  Activity 1 What is data science? Data science is extracting meaning from large data sets in order to gain insights to support decision-making. 4  Activity 1 Joseph Minard Joseph Minard used these numbers in 1869 to find meaning and tell a story with the data. The data you looked at before relates to Napoleon's march on Russia in 1812. The numbers by themselves don’t tell much of a story, but Joseph Minard created what is widely regarded to be the best statistical graph of all time. 5  Activity 1 Visualising the data 6  Activity 1 Visualising the data 7  Activity 1 Visualising the data (ncce.io/minard) 8  Activity 2 John Snow’s visualisation In 1854 there was an outbreak of cholera in the Soho area of London. At the time it was widely believed that cholera was caused by pollution in the air. John Snow’s observation of the evidence led to him discounting this belief, but he could not prove how people did become infected. 9  Activity 2 Help prove John Snow’s theory John Snow made a dot map of Soho. The dots (or shaded-in parts) on the map represent where a cholera-related death had occurred. In pairs, look at the map in more detail and answer the questions on the worksheet. 1 0  Activity 2 The Broad Street pump John Snow highlighted on the map the position of a water pump on Broad Street. This data visualisation helped him to prove his theory that all the deaths had been of people who had used this water pump for drinking water. This map helped convince the local council to immediately remove the pump handle. Many lives 1 1  Activity 3 Visualise data UK television networks want to gain a better understanding of how viewers watch the most popular TV shows on mobile devices. 1 2  Activity 3 Visualise data The aim of this activity is to: Analyse a small data set of TV viewing figures Visualise the data Use the visualisation to provide an insight to the broadcasters Teacher demonstration: datawrapper.de 1 3  Activity 3 Provide the insights Example insights: Which of the TV shows were most popular on a PC or mobile phone? Does the rank of those watched on TV match the rank of those watched on a different medium? Once you have chosen your visualisation, use the worksheet to answer the questions and provide your insights. 1 4  Plenary Infographics versus data visualisations Data visualisations are visual representation of data (such as charts and graphs) intended to help an audience process the information more easily and get a clear idea about the data at a glance. Infographics are visual representations of data, often involving pictures that reflect patterns and help tell a story. Infographics can include visualisations. 1 5  Plenary Creative visualisations 1 6  Homework Space data homework You have been provided with a small data set about our solar system. Complete the worksheet by visualising the data and providing an insight. The visualisation can be done by hand (be creative) or you could use the website we used in the lesson today. 1 7  Summary Next lesson In this lesson, you… Next lesson, you will… Looked at historical Analyse larger global data examples of data sets and visualisations visualisations Look at examples of how Visualised your own data set data collection and storage to help spot any patterns or has changed with trends technological advances 1 8