Data Cleansing 101 Over All Assessment
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Q1           Score:  1
 data sets
 data frames
  data manipulation
 data management
Q2           Score:  1
 Space, text
 Dot, Character
 Line, Tab
  Comma, tab
Q3           Score:  1
Q4           Score:  1
 JavaScript Object Notation
 Java Object Navigation
 Java Optic Node
 Java Optic Notation
Q5           Score:  1
 Significant, Qualitative
 Missingness, Quantitative
 Effectiveness, Quantitative
 Missingness, Qualitative
Q6           Score:  1
Q7           Score:  1
Q8           Score:  1
Q9           Score:  1
Q10           Score:  1
 One step
 Two step
 Three step
 Four step
Q11           Score:  1
 R Programming
 Machine learning
Q12           Score:  1
 Unstructured data
 Data Tables
 Structured data
 Data values
Q13           Score:  1
Q14           Score:  1
 IP address
 email address
Q15           Score:  1
 common expression
 regular expression
 string expression
 text expression
Q16           Score:  1
Q17           Score:  1
 Data science
 Data collection
 Data analyses
  Data processing
Q18           Score:  1
Q19           Score:  1
Q20           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
Q21           Score:  1
 patterns and metacharacters
 literals and metacharacters
 patterns and characters
 literals and characters
Q22           Score:  1
 getR and setR
 getwd and setwd
 getdir and setdir
 getdb and setdb
Q23           Score:  1
 Notepad ++
Q24           Score:  1
 Data Cleaning
 Data set
 Data Cleansing
 Data table
Q25           Score:  1
Q26           Score:  1
 High Definition form
 Hierarchical data format
 High Data Form
 Huge Data Format
Q27           Score:  1
 Internet connection
Q28           Score:  1
 Social media and websites
 Dot. Com and PHP
 Getting and Cleaning
Q29           Score:  1
 R programming
Q30           Score:  1
 patterns and characters
 patterns and metacharacters
 literals and characters
 literals and metacharacters
Q31           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
Q32           Score:  1
 Media scraping
 Web Cleaning
 web scraping
 Net Scathing
Q33           Score:  1
 Data table
Q34           Score:  1
 artificial processing interfaces
 artificial programming interfaces
 application programming interfaces
 application passport interview
Q35           Score:  1
Q36           Score:  1
 Extension Machine Language
 Extensible Markup Language
 Efficient Markup Language
 Easy Machine Language
Q37           Score:  1
Q38           Score:  1
Q39           Score:  1
Q40           Score:  1


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