Data Cleansing 101 Over All Assessment
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Q1           Score:  1
 List
  Clean
 Summarize
 Tidy
Q2           Score:  1
 JavaScript Object Notation
 Java Object Navigation
 Java Optic Node
 Java Optic Notation
Q3           Score:  1
 gget
 gfind
 grep
 gsearch
Q4           Score:  1
 mmddyy
 arrange
 mdy
 mmddyyyy
Q5           Score:  1
 One step
 Two step
 Three step
 Four step
Q6           Score:  1
 Extension Machine Language
 Extensible Markup Language
 Efficient Markup Language
 Easy Machine Language
Q7           Score:  1
 grep
 gfind
 gget
  gsearch
Q8           Score:  1
 common expression
 regular expression
 string expression
 text expression
Q9           Score:  1
 Variables
 Variations
 Bites
 Information
Q10           Score:  1
  HTML
 Notepad ++
  XML
  JSON
Q11           Score:  1
 Social media and websites
 Dot. Com and PHP
 Getting and Cleaning
 HTML, XML
Q12           Score:  1
 artificial processing interfaces
 artificial programming interfaces
 application programming interfaces
 application passport interview
Q13           Score:  1
 Media scraping
 Web Cleaning
 web scraping
 Net Scathing
Q14           Score:  1
 patterns and metacharacters
 literals and metacharacters
 patterns and characters
 literals and characters
Q15           Score:  1
 access
 IP address
 email address
 account
Q16           Score:  1
  Arrays
 Strings
 Data table
  Integer
Q17           Score:  1
 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
 raw data, tidy data set, code book, instruction list
Q18           Score:  1
 Data science
 Data collection
 Data analyses
  Data processing
Q19           Score:  1
 Excel
  Word
 Spreadsheets
 WPS
Q20           Score:  1
 True
 False
Q21           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
 All of the above
 There should be one table for every kind of variable. All of the above
Q22           Score:  1
 RDBMS
 RStudio
 SQL
 R programming
Q23           Score:  1
  Algorithm
 Structure
 Statistics
  Count
Q24           Score:  1
 True
 False
Q25           Score:  1
 Rrows
 Rbind
 RBound
 Rdraw
Q26           Score:  1
 Algorithm
 Statistics
 Structure
 Count
Q27           Score:  1
 High Definition form
 Hierarchical data format
 High Data Form
 Huge Data Format
Q28           Score:  1
 True
 False
Q29           Score:  1
 DPLYR
 Extract
 CostltR
 POSIXLt
Q30           Score:  1
 R Programming
 Machine learning
 RDBMS
 MySQL
Q31           Score:  1
 Unstructured data
 Data Tables
 Structured data
 Data values
Q32           Score:  1
 Local
  Linear
 Text
 Excel
Q33           Score:  1
 Significant, Qualitative
 Missingness, Quantitative
 Effectiveness, Quantitative
 Missingness, Qualitative
Q34           Score:  1
 Rowsums
 Rtable
 XTable
 Ftable
Q35           Score:  1
 getR and setR
 getwd and setwd
 getdir and setdir
 getdb and setdb
Q36           Score:  1
 Internet connection
 Hotspots
 Broadband
 Satellite
Q37           Score:  1
 Space, text
 Dot, Character
 Line, Tab
  Comma, tab
Q38           Score:  1
 data sets
 data frames
  data manipulation
 data management
Q39           Score:  1
 patterns and characters
 patterns and metacharacters
 literals and characters
 literals and metacharacters
Q40           Score:  1
 Data Cleaning
 Data set
 Data Cleansing
 Data table


   



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