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Learning Goal: I’m working on a data analytics multi-part question and need an e

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Learning Goal: I’m working on a data analytics multi-part question and need an explanation and answer to help me learn.
I have a lab I need to complete. Once accepted, I will give you a download key that goes into your Rstudio so you can help answer the questions looking at the data. Theres 7 questions. please only bid if you know how to work R studio.
Lab Questions:
1.Let’s first have a quick check of this data set. Please answer the followings.
1a.How many observations are in the data set? How many variables are in the data set?
1b.Are there any outliers? If yes, do you think that the outliers are errors?
1c.Do you agree with all variable types defined in the data set?
(Hint: you may as.type to change the variable type. For example, if you want to switch X in to numeric, you may write X = as.numeric(X))
2.How many employees are at different department by different salary level? Please make a plot.
Can you develop two plots, one for those who left and one for those who has not left? Any findings? Briefly explain.
3.Develop a histogram of satisfaction of all employees and add a mean line as reference in the plot. Briefly explain your findings.
4.Develop a histogram of satisfaction all employees but fill separately by those who left or not. Add two mean lines, one for those who left, and one for those who has not. Briefly explain your findings.
5.Some employees think that safety (work accident) is one of the main causes for people to leave. Does the data support this claim? Please explain with a graph.
6.Some claim that those who left the company are those who had longer work hours than other employees. Consequently, they felt unfair and left the company. How would you reply to this claim with the data? What about at the department level? Report your findings. Please include at least a graph.
7.(Optional) Pick one other factor at your own choice. Analyze the data and see if this factor relates to why some employees left the company. Report your findings with at least a graph.

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