(Image combining a hockey stick and a toilet that equals a Stanley Cup with a question mark) (Diagram of the Steps of the data journey with an emphasis on Step 3 - analyze, model and Step 4 - tell the story)Ĭorrelation and causality fall under the final two steps of the data journey: analysis and modeling, and telling the story. Step 3 and 4: Analyze, model and tell the story This diagram is a visual representation of the data journey, from collecting the data to cleaning, exploring, describing and understanding the data to analyzing the data, and lastly, to communicating with others the story the data tell. The data journey is supported by a foundation of stewardship, metadata, standards and quality.) (Diagram of the Steps of the data journey: Step 1 - define, find, gather Step 2 - explore, clean, describe Step 3 - analyze, model Step 4 - tell the story. Learning goalsīy the end of this video, you will learn the answers to the following questions: What is correlation? How can you measure, quantify or interpret correlation when analyzing your data? What is causality? And finally, what are the differences between the two? Steps of a data journey ![]() ![]() As a prerequisite, before beginning this video, we highly recommend having already completed our videos titled "What is Data" and "Types of Data". This video is intended for viewers who wish to gain a basic understanding of correlation and causality. (The Statistics Canada symbol and Canada wordmark appear on screen with the title: "Statistics 101: Correlation and causality") Statistics 101: Correlation and causality And finally, what are the differences between the two?ĭata journey step Analyze, model Data competencyĪudience Basic Suggested prerequisites N/A Length 17:27 Cost Free Watch the video Statistics 101: Correlation and causality - Transcript Statistics 101: Correlation and causality - Transcript. ![]() How can you measure, quantify, or interpret correlation when analyzing your data?.This is a very important part of data analysis.īy the end of this video, you will learn the answers to the following questions: In this video, you will learn how to prove the existence of a relationship, or lack thereof, between two variables.
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