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Data Cleansing 101 Assessment 3
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Left to right
Q1
Score: 1
Missingness, Quantitative
Missingness, Qualitative
Significant, Qualitative
Effectiveness, Quantitative
Q2
Score: 1
Sort
Arrange
Align
Series
Q3
Score: 1
getwd and setwd
getR and setR
getdir and setdir
getdb and setdb
Q4
Score: 1
Spreadsheets
Excel
Word
WPS
Q5
Score: 1
Structured data
Un structured data
Data organization
Data values
Q6
Score: 1
True
False
Q7
Score: 1
True
False
Q8
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
Q9
Score: 1
ROM
RAM
R package
MongoDB
Q10
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
Q11
Score: 1
Web scraping
Web Cleaning
Media scraping
Net Scathing
Q12
Score: 1
Solo data
Multiple data
Double data
Three data
Q13
Score: 1
Sort
Arrange
Align
Series
Q14
Score: 1
Internet
Audit
Analysis
Digital coding
Q15
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
Q16
Score: 1
Fixed, Flexible
Fixed, Changing
Qualitative, quantitative
Natural, Real
Q17
Score: 1
True
False
Q18
Score: 1
RDBMS
MongoDB
R studio
Linex
Q19
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
Q20
Score: 1
Extensible Markup Language
Extension Machine Language
Easy Machine Language
Efficient Markup Language
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