process data from dirty to clean coursera answers

process data from dirty to clean weekly challenge 1 answers 1. Fill in the blank: If a data analyst is using data that has been _____, the data will lack integrity and the analysis will be faulty. Answers wide compromised public clean 2. A financial analyst imports a dataset to

process data from dirty to clean weekly challenge 2 answers 1. As part of the data-cleaning process, a data analyst creates a rule to highlight any empty cells in a bright blue color. This is an example of data visualization. Answers True False 2.A data analyst at a nonprofit organization

process data from dirty to clean weekly challenge 3 answers 1. Fill in the blank: Data analysts usually use _____ to deal with very large datasets. Answers web browsers spreadsheets SQL word processors 2.What are some of the benefits of using SQL for analysis? Select all that apply. Answers SQL

process data from dirty to clean weekly challenge 4 answers 1. Verification and reporting come directly before the data-cleaning process. Answers True False 2. What is the first step in the verification process? Answers Compare cleaned data with the original, uncleaned dataset and compare it to what is there now