Task 3: The file CancerRates.dat contains data on the top 10 cancer sites in the United States from the Centers for Disease Control and Prevention {CDC} website. These statistics are condensed across genders and races. The variables are ranking, cancer site, and incidence rate per 100,000 people. a. Open the raw data file CancerRates.dat in a simple editor such as Notepad. In a comment in vour program, state the number of variables and observations. b. Read the raw data file into 5A5. View the log to verify that your data set has the same number of variables and observations as you stated in part a. c. Print the data set. Task 4: The world Health Organization {WHO} monitors vaccine recommendations in countries around the world. The raw data file Vaccinesdat contains the recommended vaccines for a sample of 13 countries. The variables in this file are vaccine nameil-ZQ}, mode of disease transmission [32-49], worldwide incidencelS 1-58}, worldwide deathsll-G'J'}, and recommendations stored in 13 individual columns for the respective countries of Chilel71-73}, Cubai77-79}, United Statesi83-85), United Kingdoml89-91}, Finlandi95-97}, Germanyi101-103}, Saudi ArabiailO7-109], Ethiopiai113-115], Botswana{119-121], |ndiai125-127}, Australiai131-133}, Chinai137-139] and Japan[143-14S). a. Open the raw data file Vaccinesdat in a simple editor such as Notepad. In a comment in your program, state the number of variables and observations. b. Read the raw data file into 5A5. View the log to verify that your data set has the same number of variables and observations as you stated in part a. c. Print the data set. Task 5: Each year, Forbes magazine publishes a list of the world's 100 biggest companies. Each companyf receives a score using four metrics: Sales, Profits, Assets, and market value. The final overall ranking is based on a composite score of these metrics. The variables in the raw data file BigCompanies.dat are ranking, company name (6-34), country {35-52}, sales (billions), prots (billions), assetsibillions}, and market value {billions}. a. Open the raw data file BigCompanies.dat in a simple editor such as Notepad. In a comment in vaur program, state which variables must be read in as character and which variables should be read in as numeric. b. Read the raw data le into 5A5. c. Print the data set. Diphtheria Haemophilus influenzae type b Hepatitis A Hepatitis B Human papillomavirus Influenza (seasonal) Japanese encephalitis Measles Meningococcus Mumps Pertussis Pneumococcus Polio Rotavirus Rubella Tetanus Tickborne encephalitis Tuberculosis Typhoid fever Varicella Yellow fever Saliva Airborne droplet Fecaloral Bodily fluids Sexual contact Airborne droplet Mosquito Airborne Airborne droplet Airborne droplet Airborne droplet Airborne droplet Fecal-oral Fecaloral Airborne droplet Penetrating injury Tick Airborne Fecal-oral Airborne Mosquito 34000 2500000 1400000 5700000 493000 4000000 50000 27000000 544000 18387000 14500000 1606 527000 251000 6000 7782000 22000000 200000 5000 386000 105000 247000 370000 15000 424000 340000 254000 826000 196000 163000 1464000 216000 30000 Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes