After reading chapter 3 in the textbook, specifically section (3.2), there would have been many examples about how data visualizations using R can help in assessing data cleanliness and finding dirty data in our dataset during data exploration and analysis.
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.
All posts will be checked for plagiarism. Please make sure to have an original post. If you cite an outside resource, you must include your citation. You can’t copy/paste from sources that you cited; you would need to re-phrase the idea/point that you cited with your own words.