Representation Advanced Quiz 3
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Quiz 3
1. In R, what does the function bind_rows() do?
Combines columns side by side
Stacks multiple data frames on top of each other, aligning columns by name
Filters rows based on conditions
2. In spreadsheets, what does the XMATCH function allow you to do?
Look up only vertical ranges
Replace VLOOKUP with HLOOKUP only
Return the relative position of a value in a range, supporting approximate or exact matches
3. In R, what does the function across() in dplyr do?
Applies a function to multiple columns within summarise() or mutate()
Groups data by multiple columns
Filters rows based on multiple conditions
4. In spreadsheets, what is the purpose of the FILTERXML function?
Converts XML to JSON
Extracts specific data from XML content using XPath queries
Automatically validates XML syntax
5. In R, what does the function pivot_longer() combined with mutate() allow you to do?
Merge multiple data frames by columns
Remove missing values while reshaping data
Reshape data from wide to long format and create/modify new columns during the process
6. In spreadsheets, what is the advantage of using structured references with Excel tables in combination with dynamic arrays?
Formulas automatically adjust and spill results correctly as data is added or removed
It limits array formulas to one cell only
Prevents changes to column headers
7. In R, how does the function reframe() differ from summarise()?
reframe() only works on grouped data
reframe() allows you to return multiple rows per group, while summarise() returns one row per group
summarise() automatically reshapes data
8. In spreadsheets, what does the MAKEARRAY function do?
Generates random numbers only
Returns a fixed scalar value
Generates an array with custom dimensions where each element is calculated by a lambda function
9. In R, what is the purpose of the function type_convert() in combination with mutate(across())?
Automatically converts multiple columns to appropriate types in a single operation
Converts all columns to character type
Groups data by type before analysis
10. In spreadsheets, what is the benefit of combining LET and LAMBDA functions?
Automatically creates pivot tables
Defines reusable custom functions with internal variables for cleaner and more efficient formulas
Filters large datasets dynamically
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