Contributors

Mike Yi

Technical Content Marketing Manager at Chartio,
Contributor at Data School

Mike has a multidisciplinary background, covering statistics, machine learning, data analysis, and psychology. With data becoming an increasingly important part of navigating today’s business, he is dedicated to increasing awareness and understanding of data concepts to a broader audience.

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Author of 0 chapters

Reviewer of 8 chapters

Confirmation Bias

From Misrepresenting Data

Confirmation bias negatively affects the accuracy of your analysis. Learn how to detect Confirmation Bias and how to avoid this cognitive bias.

Define Experiment Parameters

From Misrepresenting Data

Defining Experiment Parameters improves analysis and increases trust in results that are shared in an organization.

Overall vs Groups

From Misrepresenting Data

Overall statistics in data can be misleading because there may be distinct groups within the data that have very different statistics. Learn to avoid this analysis mistake.

Predicting Outcomes

From Misrepresenting Data

Predicting Outcomes prevents cognitive biases from affecting how your interpretation of the results of an experiment. Learn more.

Relative vs Absolute Change

From Misrepresenting Data

Relative and Absolute changes can bias your interpretation of data you are analyzing. Learn to interpret them correctly.

Review Outcomes

From Misrepresenting Data

Review Outcomes of Feature Releases to evaluate their impact and to create institutional knowledge. Learn how to interpret results accurately.

Selection Bias

From Misrepresenting Data

Selection bias negatively affects your analysis. Learn how to detect Selection Bias and how to avoid this cognitive bias.

Survivorship Bias

From Misrepresenting Data

Survivorship bias negatively affects your analysis. Learn how to detect Survivorship Bias and how to avoid this cognitive bias.