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Load the data using the command: ecomm.df = read.csv(https://goo.gl/hzRyFd) How many observations and variables are in the e-commerce data set? Compute a frequency table for
Load the data using the command: ecomm.df = read.csv("https://goo.gl/hzRyFd")
- How many observations and variables are in the e-commerce data set?
- Compute a frequency table for the country of origin for site visits. After the United States, which country had the most visitors?
- Compute a two-way frequency table for the intent to purchase (intentWasPlanningToBuy), broken out by user profile.
- Among the parents who provided a response, what is the proportion of parents who intend to purchase?
- Among the teachers who provided a response, what is the proportion of teachers who intend to purchase?
Note: In computing the above, omit observations for whom the intent is unknown (blank).
- Among US states (recorded in the variable region), which state had the most visitors and how many?
- Draw a histogram for the number of visits to the site (behavNumVisits).
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