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Data Cleansing 101 Assessment 3
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Left to right
Q1
Score: 1
Solo data
Multiple data
Double data
Three data
Q2
Score: 1
you ran no software on the data
you didn't manipulate any of your numbers in the data set
you didn't do any summarization to the data in any way
All of the above
Q3
Score: 1
True
False
Q4
Score: 1
RDBMS
MongoDB
R studio
Linex
Q5
Score: 1
information about the variables
information about the summary choices that was made
information about the experimental study design that you used
All of the above
Q6
Score: 1
Web scraping
Web Cleaning
Media scraping
Net Scathing
Q7
Score: 1
Extensible Markup Language
Extension Machine Language
Easy Machine Language
Efficient Markup Language
Q8
Score: 1
ROM
RAM
R package
MongoDB
Q9
Score: 1
Missingness, Quantitative
Missingness, Qualitative
Significant, Qualitative
Effectiveness, Quantitative
Q10
Score: 1
Sort
Arrange
Align
Series
Q11
Score: 1
raw data, tidy data set, code book, instruction list
raw data, tidy data set, R Package, instruction list
raw data, tidy data set, R Package, Code Book
raw data, tidy data set, R Package, Code Recipe
Q12
Score: 1
Sort
Arrange
Align
Series
Q13
Score: 1
True
False
Q14
Score: 1
you should have each variable that you've measured be in exactly one column
each different observation should be in a different row
There should be one table for every kind of variable.
All of the above
Q15
Score: 1
Fixed, Flexible
Fixed, Changing
Qualitative, quantitative
Natural, Real
Q16
Score: 1
True
False
Q17
Score: 1
getwd and setwd
getR and setR
getdir and setdir
getdb and setdb
Q18
Score: 1
Spreadsheets
Excel
Word
WPS
Q19
Score: 1
Internet
Audit
Analysis
Digital coding
Q20
Score: 1
Structured data
Un structured data
Data organization
Data values
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