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What does a typical data wrangling workflow include? 1 point Validating the quality of the transformed data Recognizing patterns Predicting probabilities Using mathematical techniques to

What does a typical data wrangling workflow include?
1 point
Validating the quality of the transformed data
Recognizing patterns
Predicting probabilities
Using mathematical techniques to identify correlations in data
2.
Question 2
OpenRefine is an open-source tool that allows you to:
1 point
Automatically detect schemas, data types, and anomalies
Enforces applicable data governance policies automatically
Use add-ins such as Microsoft Power Query to identify issues and clean data
Transform data into a variety of formats such as TSV, CSV, XLS, XML, and JSON
3.
Question 3
What is one of the steps in a typical data cleaning workflow?
1 point
Inspecting data to detect issues and errors
Building classification models
Establishing relationships between data events
Clustering data
4.
Question 4
When youre combining rows of data from multiple source tables into a single table, what kind of data transformation are you performing?
1 point
Denormalization
Unions
Joins
Normalization
5.
Question 5
When you detect a value in your data set that is vastly different from other observations in the same data set, what would you report that as?
1 point
Irrelevant data
Missing value
Syntax error
Outlier

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