extracting meaning from large data sets to gain insights that support decision making

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

visual representations of data, often involving pictures that reflect patterns and help tell a story

the actionable understanding gained from analysing data

Using data to support decision making

Computing

Global data

The investigative cycle

Capturing data to investigate an issue

Data cleansing

Using data to make recommendations

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

to extract meaning from large sets of data

they help to show patterns and trends clearly

Why are visualisations like charts and graphs used when presenting data?

What is the name for a visual representation that combines images and data to help explain patterns and tell a story?

Put these steps in order to create a basic data visualisation:

It helps viewers focus on the most important information.

Why might removing unnecessary data from a visualisation be helpful?

the understanding gained from analysing data

What is meant by the term “insight” in data science?

software for organising and analysing data

combination of images and facts to present information

gathering information from various sources

Which of the following is a type of chart you can create in a spreadsheet?

Put these steps in order for creating a chart in a spreadsheet:

What is the main purpose of a graph in a spreadsheet?

Where might you have seen an infographic before?

Arrange these actions to show how data can lead to personalised suggestions:

Exit Quiz

What is the main goal of data science?