Explain the shape of your histogram for the assigned variable in terms of skewness to the right or to the left, and in terms of outliers.

Social support (Y-Axis) and Log GDP per capita (X-Axis

Open Assigned Variables for Data Science 2.pdf to see your assigned variables.
Download R and then RStudio based on your computer compatibility, following the instructions @ https://rstudio-education.github.io/hopr/starting.html
Click “From Text (base)” on the Import Dataset to import the following dataset in the downloaded RStudio:
happiness.csv
The meanings of the variables in the dataset are @ https://www.trackinghappiness.com/happiness-index-2018/
In your downloaded Rstudio, you must first type in the following three items in this order and then press “Run” on the right side of the top bar:
library(dslabs)
library(tidyverse)
happiness
Then type in your assigned variables. Remember to use accessor ($).
Data Science 2 is the Final Exam that requires you to use the happiness dataset in R programing to create (a) one scatterplot, (b) one histogram, and (c) boxplots, based exclusively on the variables assigned to each student. In addition, you are required to complete the following in one single word document that contains your plots and outputs: (1) Create one null hypothesis and one research hypothesis for your scatterplot and explain the relationship between the two variables in the scatterplot. (2) Explain the hypothesis you accept and the hypothesis you reject, based on your scatterplot. (3) Explain your boxplots for the assigned regions in terms of the median, the data spread, and outliers. (4) Explain the shape of your histogram for the assigned variable in terms of skewness to the right or to the left, and in terms of outliers. (5) Use log base 10 to transform the variable for your histogram and explain the difference between the resulting histogram and the histogram in (4). (6) Use a true paragraph of at least five sentences to develop a conclusion statement about your scatterplot, histogram, and boxplots regarding how to improve happiness in public and nonprofit workplaces. The following YouTubes may help you in plot interpretations and explanations: (1) https://www.youtube.com/watch?v=q1GDCniGQ74(scatterplots), (2) https://www.youtube.com/watch?v=xD3hBk-Ew5U(histograms), and (3) https://www.youtube.com/watch?v=HowyFAnZkys (boxplots).

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