You have a dataset that includes a character column named 'char_income' which contains numeric values formatted as strings, such as "34500", "29800", etc. You need to convert this to a numeric column 'num_income' to perform calculations. Which code snippet would correctly perform this conversion?

You have created a data table 'work.sales_data' using SAS procedures and want to use the 'table.save' method to store this data table permanently in the 'mydata' library. Which of the following code snippets correctly accomplishes this task, assuming that the 'mydata' library has already been assigned?

When using PROC MEANS to summarize data, a programmer needs to display only the variables "Time", "Distance", and "Speed" from a dataset, while also calculating the mean and standard deviation for those variables. Which of the following VAR statements is the most efficient way to achieve this while maintaining the original order in the dataset?

You have loaded a data set into a CAS session and need to perform a simple aggregation that summarizes total sales by region. Which of the following CAS actions allows you to do this most efficiently?

You are given a raw data file with a variable that contains currency amounts, including a dollar sign, commas, and decimal points (e.g., "$1,234.56"). You need to create a new SAS dataset and ensure that these amounts are read as numeric values without the currency formatting. Which informat would appropriately read the variable as a numeric value?