Description
After listening to the lecture recording that I have provided and reading chapter 3 in your textbook, specifically section (3.2), you have seen many examples about how data visualizations using R can help you in assessing data cleanliness and finding dirty data in your dataset during data exploration and analysis.
In this discussion forum, I would like you to provide a complete example that is not presented in the book that explains how data visualization using R can assist us in understanding how dirty data can manifest itself in visualization. Please provide the graph(s)/plot(s) along with a discussion that explains how visualization helps in capturing or determining the existence of dirty data.
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Explanation & Answer
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Running head: EVIDENCE OF DIRTY DATA VIA DATA VISUALIZATION USING R
Evidence of Dirty Data via Data Visualization Using R
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EVIDENCE OF DIRTY DATA VIA DATA VISUALIZATION USING R
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Evidence of Dirty Data via Data Visualization Using R
Data visualization is essential as it allows a user to comprehend the dynamics of the data.
In a histogram the user is able to understand the numeric aspect of different elements which are
categorized into bins. The bins then depict the instances that are common to a particular. The
height is indicative of these instances. As data visualization can enable the user to take note of
dirty data through comprehending the distribution of a given aspect. Similarly it becomes
possible to understand the spre...