Dataframes R Studio

The R environment has some ready-made datasets that you can see with function data (). Tasks 1. Build a dataframe containing the following columns for the 50 US states (vectors): state name, population, area (name, pop, area). Its lines dataframe must not have names. The column with the names of the states should not to have the factor structure. Use the stacked data sets [login to view URL] and state.x77. 2. Build a function called popdens that accepts as input two numbers corresponding to the population and area of ​​an area, and return as a result, the population density for this region. 3. Add an extra column to the dataframe of query 1 with a density name of contains the population density for each state. Use for calculation of the density of the function of question 2. 4. Add an extra column to the dataframe of query 1 with a percentage name of contains the percentage of the population of each state in relation to the total US population. 5. Add an extra column to the dataframe of query 1 with div name contains the geographical area owned by each state. Use the ready [login to view URL] data set. This new column must have the factor structure. 6. Construct the frequency table for geographic categories apartments. Then, based on the frequency table, build one pie chart. The chart must have a general title and use it colors of the rainbow. 7. Create a new dataframe that contains the same data as the previous one, but sorted in descending order of the population density column. 8. Save the new dataframe to a file called usa.csv. The file must be contains the column names as headings, but not the names for the lines. The values ​​on each line must be separated by the semicolon (;) character.