Answer Happy

Sir , i am trying to say i only need this coding in" R STUDIO" not in python R STUDIO pls send code of R studio
Univariate Analysis For each numeric variable: 1. Create an appropriate plot to visualize the distribution of this variable. (4 marks) 2. Consider any outliers present in the data. If present, specify the criteria used to identify them and provide a logical explanation for how you handled them. (4 marks) Describe the shape and skewness of the distribution. (2 marks) Based on your answer to the previous question, decide if it is appropriate to apply a transformation to your data. If no, explain why not. If yes, name the transformation applied and visualize the transformed distribution. (This video and this video may help.) (4 marks) Choose and calculate an appropriate measure of central tendency. (3 marks) Explain why you chose this as your measure of central tendency. Provide supporting evidence for your choice. (4 marks) 7. Choose and calculate a measure of spread that is appropriate for your chosen measure of central tendency. Explain why you chose this as your measure of spread. (2 marks) 3. 4. 5. 6. For each categorical variable: 1. Create an appropriate plot to visualize the distribution of counts for this variable. (4 marks) 2. Create an appropriate plot to visualize the distribution of proportions for this variable. (4 marks) Discuss any unusual observations for this variable? (2 marks) 3. 4. Discuss if there are too few/too many unique values? (2 marks) Bivariate Analysis For each pair of variables: 1. Create an appropriate plot to visualize the relationship between the two variables. (4 marks) 2. Describe the form, direction, and strength of the observed relationship. Include both qualitative and quantitative measures, as appropriate. (4 marks) 3. Explain what this relationship means in the context of the data. (4 marks) Describe the variability that you observe in the plot and how that corresponds to the strength you calculated in #2 above. (3 marks)