Final answer:
To create a box plot in R with data from a CSV file, import the data with read. csv(), then use box plot() to generate the plot, labeling your axes appropriately and choosing a suitable scale for each one.
Step-by-step explanation:
To create a box plot graph with one variable from a CSV file dataset in R, you need to follow certain steps which will include reading in the data, creating the graph, and labelling the axes and title. First, read the CSV file using read. csv() to import the data into R. Once you have the data frame, you can use the box plot() function to create your boxplot graph.
For this example, if you're plotting time-series data, you might label your x-axis as 'Time (min)' to indicate that your variable is time measured in minutes. You can then determine the best scale for your axis; say the x-axis should be numbered from 0 to 70 with a tick mark every 10 minutes if your data is recorded at 10-minute intervals.
Similarly, the y-axis needs to represent the range of your data. For instance, if you're plotting 'Distance from station' (in kilometers), you might choose a scale that ranges from 0 km to 160 km, with a tick mark every 10 km. Remember to use the y lab and x lab parameters within the box plot() function to label your y-axis and x-axis respectively, and the main parameter to add a title to your graph.