
In the second chunk of RMarkdown, you will confirm that the working directory path is correct, list the available files, and read in the Ohio poverty data from the *.csv file.
### Chunk 2: Check the working directory path, list available files, and read in the Ohio poverty data. ```{r} # Checking to see if the working directory is properly set getwd() # listing the files in the directory list.files() # Optionally, if you want to just list files of a specific type, you can use this syntax. list.files(pattern="csv") # Read in the Ohio poverty data from the *.csv file. The .csv file has header information and the data columns use a comma delimiter. # The header and sep parameters indicate that the *.csv file has header information and the data are separated by commas. Poverty_Data <- read.csv("Ohio_Community_Survey.csv", header=T, sep=",") ```