Looking for a coder particularly R script for the following Data will be provided: What percentage of the data set has complete cases? 2. How many patients (# and %) from each site are included? 3. Calculate the age of each person in the dataset and report the mean, median, minimum and maximum age within each site. 4. Plot a histogram and boxplot to see the distribution of ages. Now provide stratified histograms and boxplots by site. (You may use density plots instead of histograms if you wish) 5. How many suspicious values do you see (e.g. are there missing values or unrealistic values?)? Should we remove these? 6. For now let's remove these values. After removing, what is your mean, min, max age? How did these values change after removing the outliers? 7. How many observations (and %) in each gender category are there? 8. Do you notice any pattern with how the gender categories are encoded? i.e. what other piece of data determines how the categories are encoded? Provide code to standardize the encoding based on your observation above. 9. Plot a scatterplot for the relationship between age and wellbeing. What is the correlation between age and wellbeing? How do we interpret this? 10. Plot scatterplots for the relationship between age and well being stratified by gender category. What do you notice?