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Essay Data Taming and Approaches Used to Tidy Data Case Study – Statistics Assignment Help

Assignment Task

Introduction  

This assignment will introduce you to some of the most important tools in data analysis with R:  reading in data, cleaning, tidying and taming it, as well as undertaking univariate and bivariate  analyses.  

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This assessment maps to the following course learning outcomes:  

1. Describe the principles of data taming and approaches used to tidy data. 

2. Identify the different types of data and data variables.  

3. Articulate the ideas that data scientists consider when looking at data.

Scenario  

You have been contracted by Cricket Australia to analyse the results of the most recent series  against England, to determine what insights can be brought into subsequent cricket matches. In  order to do this, you will look at statistics relating to the sport of cricket, popular among  Commonwealth countries. You will analyse players’ scores across the 2017-18 Ashes men’s  cricket series between Australia and England, for a game of test cricket produces as many  measurable variables as it does gormless, bored sighs from people forced to watch it.

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