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data analysis

How Statistics Became a Model-blind Data-reduction Enterprise? Sewall Wright

Wright studied genetics at Harvard. While he was working at the University of Chicago, he interested in the inheritance of coat colour in guinea pigs. He found that it is nearly impossible to breed an all-white or all-coloured guinea pig, even the most inbred families which contradict the prediction of

How Statistics Became a Model-blind Data-reduction Enterprise? Karl Pearson

In the last blog post, we have covered Francies Galton and his Galton Board. In this post, we will talk about Karl Peason. Pearson was affected by Galton’s idea on correlation. He believes correlation is bigger than causation. Causation was reduced to nothing more than a special case of

How Statistics Became a Model-blind Data-reduction Enterprise? Francies Galton.

Date: 5 June 2021 This is Chapter 2 of the book, The Book of Why. This chapter is an account of the history of statistics and how it departs from understanding causation to only correlation. I personally did not validate the accuracy and completeness of the stories in the Chapter.

If causation is not correlation, then what is it?

Date: 30 May 2021 I am currently reading a book called The Book of Why. I just finished Chapter 1, The Ladder of Causation, and would like to give you a quick summary on what I have learnt. In the recent advancement and success of machine learning and artificial intelligence,

Some Beginner Resources for Learning Data Visualization in Tableau

Date: 06 Jan 2021 Recently, I am preparing the launch of Tableau in my company. I have, therefore, collected some useful resources and want to share with my readers. General Learning Path 1. Understand the terminology used in Tableau 1. You may refer to this link. 2. Understand the Tableau

Data Governance V.S. Data Engineering V.S. Data Analysis

Date: 31 Dec 2020 Like most of you, when I tried to explore the career in data field, I want to be a data analyst. It is the sexiest job in 21st Century (according to Harvard Business Review. [an article titled: Data Scientist: The Sexiest Job of the 21st Century]

Predicting House Price in Hong Kong #6

It has been a while since I made the last git commit in the project repository. Although I am a bit busy with my daytime job recently, I will keep the side project rolling. This blog post is about my recent reflection on the project direction. There are two goals