代做STATS 220 Data Technologies SEMESTER ONE, 2023代写R编程

STATS 220 Data Technologies

SEMESTER ONE, 2023

1   Anna obtained data about the Panopto lecture recordings for STATS 220 during Semester One

2023. She used R code to produce the output below with the data frame panopto_data. 

Use the output above to answer the following questions:

The function used to produce the output above was

(view(), tibble(),

output(), print(), glimpse()).

How many of the variables in the data frame. panopto_data are numeric?  

Maximum marks: 2

2    Describe the goal of the code below and how the functions used achieve this goal. 

Maximum marks: 2

3   Anna was interested in identifying the top ten recordings , in terms of the total minutes delivered. She used the data frame. panopto_data to create a new data frame called total_minutes_delivered, which is shown below. 

The code below provides the code that produces the data frame shown above, but some parts of the code have been replaced with numbers e.g. { 1} 

Use the boxes below to select or enter the missing function, operator, argument name or value.

{1}

(panopto_data, total_minutes_delivered, total_minutes , session_name, data)

{2}

(<-, %>%, -> , + , ==)

{3}

(total_minutes , panopto_data, session_name, data,

total_minutes_delivered)

{4}

(count, select, group_by , summarise, filter)

{5}

(session_name, timestamp, minutes_delivered, student_num ,

lecture_recording)

{6}

(summarise, filter, count, slice, mutate)

{7}

(median, count, mean, max , sum)