Podcast
Questions and Answers
Data cleaning is only necessary for large datasets.
Data cleaning is only necessary for large datasets.
False
Outliers are always errors in the dataset and should be removed.
Outliers are always errors in the dataset and should be removed.
False
Duplicate entries should be checked and removed during data cleaning.
Duplicate entries should be checked and removed during data cleaning.
True
Reshaping data involves rearranging data into a format suitable for analysis, often transforming rows to columns or vice versa.
Reshaping data involves rearranging data into a format suitable for analysis, often transforming rows to columns or vice versa.
Signup and view all the answers
Tidying data refers to ensuring that each variable is in its own column and each observation is in its own row.
Tidying data refers to ensuring that each variable is in its own column and each observation is in its own row.
Signup and view all the answers
Data tidying is unnecessary if the data already has consistent column headers.
Data tidying is unnecessary if the data already has consistent column headers.
Signup and view all the answers
Erroneous data is best corrected by removing all irregular values.
Erroneous data is best corrected by removing all irregular values.
Signup and view all the answers
Data visualization is a technique that transforms complex data into a graphical format, making it easier to understand.
Data visualization is a technique that transforms complex data into a graphical format, making it easier to understand.
Signup and view all the answers
Visualizations can help identify trends, patterns, and relationships within data.
Visualizations can help identify trends, patterns, and relationships within data.
Signup and view all the answers
Data visualization is most effective when used at the end of data analysis.
Data visualization is most effective when used at the end of data analysis.
Signup and view all the answers
