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.

Mike Yi's Picture

Social

  • Website:
  • LinkedIn: Mike Yi
  • Twitter:

Author of 1 chapters

What Makes a Great Dashboard (ACES)

From How to Design a Dashboard

Learn the best practices behind dashboard design to support decision making. Accuracy, Clarity, Empowerment, and being Succinct.

Reviewer of 21 chapters

Arranging Your Charts as a Dashboard

From How to Design a Dashboard

Maximize understanding of a dashboard by arranging data visualizations intelligently. Learn common design patterns to improve readability.

Build the Metrics

From How to Design a Dashboard

Use SQL to query the database to get the data behind the metrics people want to see. Use our template to quickly build accurate queries. Learn more.

Dashboard Design Process

From How to Design a Dashboard

See how design thinking principals map to dashboard design. Define, Prototype, Build, and Deploy Dashboards.

Dashboard Prototyping and Feedback

From How to Design a Dashboard

Learn techniques to prototype your dashboard and iterate. See examples of prototyped dashboards and download dashboard templates.

Determine the Metrics to Monitor

From How to Design a Dashboard

Define what metrics actually matter to business professionals. Use customer development techniques to determine the best metrics.

Finding the Data That Builds Metrics

From How to Design a Dashboard

Learn to collaborate with your data team to discover what data can be used within a dashboard. Use SQL to find and assess columns to use.

Identifying Key Roles

From How to Design a Dashboard

Learn the key stakeholders for a dashboard design process. Learn how to work with Designers, Developers, and your audience.

Introduction

From How to Design a Dashboard

Dashboards help organizations make data driven decisions. Learn how to apply design thinking to creating useful dashboards.

Making Sure Your Dashboard Always Gets Better

From How to Design a Dashboard

Use feedback loops from your audience to keep iterating on dashboards you create. Learn to improve it's usability and performance.

Sharing the Dashboard – Distribution Strategies

From How to Design a Dashboard

Learn the best practices and common pitfalls of sharing out dashboards. Distributing your dashboard is critical to it being useful.

What is a Dashboard?

From How to Design a Dashboard

Learn what dashboards are and why they are important to making decisions. Dashboards have a long history for supporting decision making.

What Makes a Great Dashboard (ACES)

From How to Design a Dashboard

Learn the best practices behind dashboard design to support decision making. Accuracy, Clarity, Empowerment, and being Succinct.

Confirmation Bias

From Avoid 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 Avoid Misrepresenting Data

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

Metric vs Metrics

From Avoid Misrepresenting Data

A single Metric can be misleading. Learn how to use multiple Metrics to avoid misleading yourself and others.

Overall vs Groups

From Avoid 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 Avoid 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 Avoid Misrepresenting Data

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

Review Outcomes

From Avoid 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 Avoid Misrepresenting Data

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

Survivorship Bias

From Avoid Misrepresenting Data

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