Note that the data are given as 3 categories (Thriving, Struggling and Suffering). If you picked a country for which one of the categories is missing data (ie it has - instead of the data), please find another country. For easy interpretation, we will construct an index that combines the data in all 3 categories using this formula: LS = 8.5*%thriving+5*%struggling+2.5*%suffering. ~ For example, for Albania, we have the following data Geography Thriving Struggling Suffering N Size Albania 2015 Gender Male 19% 61% 20% 379- Albania 2015 Gender Female 22% 59% 19% 528+ We want to calculate the average happiness for Male and Female LS Male = 8.5*0.19+5*0.61+2.5*0.2=5.165+ LS Female - 8.5*0.22+5*0.59+2.5*0.19=5.295+ Below is an example of a Table and a bar chart. For each of the three categories (age, gender, education) make either a table or a bar chart that will contain data for both countries (write country names instead of country A and B), however, you need to have at least one bar chart and at least one table in your report+life satisfaction age+ Country Ap Country By 15-29- 3.54 4 140 OHNW 30-49+ 3.74 50+ 3.3+ 4.34+ 15-29 30-49 50+ Country A Country B 2. Present your data on life satisfaction (LS) for each category (either as a table or as a bar graph) and write a short observation for the following three categories: ~ a. Age: Younger or older people (which category is the happiest?)+ b. Those with different education levels (which category is the happiest?)+ c. Married or Single?~ 3. Write a one paragraph reflection on the similarities and differences for these two countries. ~ 4. Which of the above variables are most likely and which are least likely to suffer from reverse causality