Need help doing multiple regression in rstudio 3.4.3

Here is the csv file of a wine data set. It is a huge one column data set.

https://archive.ics.uci.edu/ml/machine-learning-databases/wine-quality/winequality-red.csv

1. Use pairs and ggplot to look at the variables. //How to apply the pairs() in this one column data

2. use corr() to make a correlation matrix

3. Run a regression predicting quality from a single variable. //what does "run regression" mean?

4. Make a full regression predicting quality from all interesting variables.

5. use step() to find a stepwise regression model. //how to use the step() correctly?

6. Use the AIC to evaluate your 3 models