17 Key Traits of Data Literacy

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3. Data Analysis Principles

17 Key Traits of Data Literacy Part 1 – Knowledge 3. Data Analysis Principles

Trait #3 – Data Analysis Principles

The third of the 17 key traits of data literacy, Data Analysis Principles. Its unique icon is a magnifying glass with a dotted line with an arrow on the end running through it. It reads “Those who are data literate understand that storing data is not an end in and of itself, but rather a means of extracting valuable insight about one’s environment. The data literate person must therefore grasp the fundamental principles of analysis and statistics and when they apply.”

How to Score Yourself

As you fill out your self-assessment worksheet or dashboard, take into account the following statements to more accurately gauge your own level of proficiency in this trait, as well as its importance to your success in the near future:

Proficiency

Rate yourself high in proficiency in this critical trait in the Knowledge category if you can say yes to all or most of the following statements:




Importance

Rate the importance of this trait highly if you can say yes to most of the following statements




Resources to Help You Improve

The following resources will help you increase your proficiency in this third of the 17 Key Traits of Data Literacy:

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