Module # 3 Data.frame

Data.frame

> Name <- c("Jeb", "Donald",  "Ted", "Marco", "Carly", "Hillary", "Berine")
> 
> # Defining the ABC political poll results
> 
> ABC_poll_results <- c(4, 62, 51, 21, 2, 14, 15)
> 
> # Defining the CBS political poll results
> 
> CBS_poll_results <- c(12, 75, 43, 19, 1, 21, 19) 
> 
> # Combine into a data frame
> poll_data <- data.frame(
+   Candidate = Name,
+   ABC = ABC_poll_results,
+   CBS = CBS_poll_results
+ )
> 
> # Print the data frame
> print(poll_data)
  Candidate ABC CBS
1       Jeb   4  12
2    Donald  62  75
3       Ted  51  43
4     Marco  21  19
5     Carly   2   1
6   Hillary  14  21
7    Berine  15  19

I worked with a dataset showing the results of a fictional 2016 presidential election poll. While setting it up, I encountered a few issues, like using curly quotes instead of straight quotes and forgetting a comma between "Marco" and "Carly." I also used spaces in variable names like ABC_poll_results, which caused errors in R. To fix this, I replaced the spaces with underscores, and the code worked fine after that. After resolving these issues, the data showed that Donald Trump led both the ABC and CBS polls by a wide margin. The process was simple, and once everything was in the data frame, I could start analyzing the poll results and compare the candidates' performances across the two polls.

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