a variety of techniques used to illustrate a problem and/or its solution to make it easier to understand

a judgement or decision reached by reasoning or using data

Using data to make recommendations

Computing

Using data to support decision making

Global data

The investigative cycle

Capturing data to investigate an issue

Data cleansing

In this unit pupils will discover how to use data to investigate problems and make changes to the world around them. Pupils will be exposed to both global and local data sets and gain an understanding of how visualising data can help with the process of identifying patterns and trends.

Using data science

a technique to show data in charts or graphs

Why might you remove outliers from your data before drawing conclusions?

Visualisations always provide every answer you need.

Sometimes you need to collect more data to answer your question.

Visualisations can help spot trends and outliers.

You may need to refine your visualisation for clearer results.

Which statement about visualisations is incorrect?

What do we call a document that presents the findings and conclusions from data analysis?

What is the purpose of a report after analysing data?

The results may be misleading or incorrect.

What is one possible effect of using data that has not been cleansed?

Which of these would you most likely remove during data cleansing?

People make mistakes or technology fails.

Why might real world data contain errors or missing information?

Put these steps in order for preparing data for a chart.

It helps you spot patterns and trends clearly.

What is one benefit of creating a chart from cleansed data?

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