Investigate data visualisation techniques using r language

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Reference no: EM133915990

Data Visualisation in R

Assessment - Graphics in reports

Task

This assessment is to be completed individually. In this assessment, you assess your ability to investigate and analyse data visualisation techniques using the R language.

Learning outcome 1: Investigate data visualisation techniques using R language.

Learning outcome 2: Evaluate and apply standard statistical techniques for data analytics. Get top-rated assignment help now.

Learning outcome 3: Evaluate and apply visualisation techniques for data analytics.

Assessment Description

For this assessment, you are required to prepare an investigative report that explores and analyses data visualisation techniques. The assessment is in two parts, A and B.

Part A - Business Report

You are expected to use R software for Part A. You will be provided with a data set and given the business context. Your task is to write a short report that includes:
a statistical summary of the data.
appropriate graphics drawn using R software
an analysis of the data in the business context

Part B - Critique of Graphics

You are asked to find three examples of graphics that have been published within the last three months:
one that you consider good.
one that you consider unintentionally poorly presented,
and one that you consider intentionally biased or misleading.

If you obtain examples from the web, you can either download the image, if possible, or take a screenshot. If you find examples in print, you can photograph the graphics.

Import the three graphics into a Word document, and for each graphic:
Give the title and context of the article in which it appeared
State where it was published, when it was published, and by whom it was published
Explain why you consider it good, or poor, or misleading.

You must conduct research externally and include references in accordance with the Kaplan Harvard Referencing Style. These may include websites, social media sites, industry reports, census data, journal articles, magazine and newspaper articles. These references should be presented as in-text citations and a referencing list at the end of your assessment (not included in the word limit).

Reference no: EM133915990

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