ibm data analyst capstone project coursera week 2 answers Graded Quiz: Duplicates 1. How many duplicate rows are there in the dataset? Answers 14512415499 2. How many duplicate values are there in the column Respondent? Answers 991541096 Graded Quiz: Removing Duplicates 3. After removing the duplicate rows, how many rows are there in the dataset? Answers 9999123331139813456 4. After removing the duplicate rows, how many unique rows are there in the column Respondent? Answers 11398113421199911000 Graded Quiz: Missing Values 5. After removing the duplicate rows, how many blank rows are there under the column EdLevel? Answers 2311120280 6. After removing the duplicate rows, how many rows are missing under the column Country? Answers 2011882800 Graded Quiz: Imputing Missing Values 7. What is the majority category under the column Employment? Answers Employed full-timeEmployed part-timeRetiredIndependent contractor, freelancer, or self-employed 8. Under the column " UndergradMajor", which category has the minimum number of rows? Answers Health ScienceFine ArtsInformation SystemsComputer Science 9. The column ‘ConvertedComp’ contains the annual compensation of the survey respondents. What is the best approach to impute the missing values in this column? Answers minmaxmeanmedian Graded Quiz: Normalizing Data 10. How many unique values are there in the CompFreq column? Answers 73113985 11. After removing the duplicate rows, how many respondents are being paid yearly? Answers 607331232599999 12. What is the median NormalizedAnnualCompensation? Answers 100000900061325208080 Share the love Share this content Opens in a new window Opens in a new window Opens in a new window Opens in a new window Opens in a new window Opens in a new window Opens in a new window You Might Also Like Week 4 – Python in practice – Shuffle Q/A 2 Week 2 – Exploratory Data Analysis (EDA) Week 1 – Components – Shuffle Q/A 1 Leave a Reply Cancel replyCommentEnter your name or username to comment Enter your email address to comment Enter your website URL (optional) Save my name, email, and website in this browser for the next time I comment.