Data and its Properties
Estimated Time Commitment: 3 Hours
This skill looks at specific characteristics of data that make it useful for decision making. You will learn about characteristics of data and datasets. Data can come in different types, like numeric values, dates, and strings. The type of data is important because it affects how the data can be processed. Datasets also come in different types. The structure of the dataset is important because it will influence how you can analyze the data. You'll learn about tidying up datasets, and structuring a dataset in a wide vs. a long format. You'll also learn about some basic visualizations that will help you know how the dataset can be used to help answer questions.
Upon successful completion, you will be able to:
Recognize factors that make data useful
Transform data from unstructured to structured
Critique a dataframe's ability to answer a question
Introduction Video
Introduction to the Skill
Glossary
Characteristics that Make Data Useful for Decision Making
Structured vs. Unstructured Data
Properties of a Tidy Dataframe
Data Types
Data Dictionaries
Knowledge Check 1
Wide Data vs. Long Data
Merging Data
Data Automation
Visualization Distributions
Visualizing Data Relationships
Knowledge Check 2
Instructions and Materials
Exercise Part 1
Exercise Part 2
Debriefing
Concluding Video
Final Quiz
Survey Instructions
Feedback Survey
Survey Verification
Next Steps