1.What does a typical data wrangling workflow include?
1 point
Recognizing patterns
Using mathematical techniques to identify correlations in data
Predicting probabilities
2.OpenRefine is an open-source tool that allows you to:
1 point
Enforces applicable data governance policies automatically
Automatically detect schemas, data types, and anomalies
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.What is one of the steps in a typical data cleaning workflow?
1 point
Clustering data
Inspecting data to detect issues and errors
Building classification models
Establishing relationships between data events
4.When you’re combining rows of data from multiple source tables into a single table, what kind of data transformation are you performing?
1 point
Normalization
Unions
Joins
Denormalization
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
Missing value
Irrelevant data
Syntax error
Outlier
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