Tag: analysis

Analyze first and second serve , and rally length breakdown using exported data from Swing Tennis App

Back by popular demand, this blog post continues diving into making use of the data we captured via Swing App from my Apple Watch. 

If you are new to the tennis tracking via apple watch, please check out my introductory blog post.

If you are interested in tennis, and subscribed to the Pro version of the Swing App, you will be able to export all the data to a clean Excel format. That is really cool, but what can you do about it?

In this blog, I will share my experience of playing and analyzing the raw data for over 30 hrs over the past few months. Hopefully by reading this article, you will have slightly more incentive to make use of the data, after your hard fought game and logging via Apple Watch.

We will cover the following three topics with hands-on examples:

  • Basic data cleaning and data modeling for the required analysis using Excel build-in feature
  • How to breakdown the first and second serve performance with speed and distribution
  • How to breakdown the short, medium and long rally on game points

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Why you should use Apple Watch to track and analyze sleep

Why you should use Apple Watch to track and analyze sleep

Sleep tracking isn’t new. But what’s unique about using Apple Watch?

General Introduction

Sleep is the single most important activity for a normal human being, measured by time spent. Having a good night of sleep usually means a jump start of the day. On the flip side, bad sleep (or no sleep at all) will lead to serious implication – both physically and mentally.

In this blog post, I am happy to share my story of using the Apple Watch + 3rd Party App to better measure the sleep.  Hopefully, it will inspire you to pick up a few things here and there and take action to make your own sleep better.

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Three lessons learned from 5 years analytics experience in a Fortune 100 company

Three lessons learned from 5 years analytics experience in a Fortune 100 company

 

I have recently wrapped up 5 years (4 years + 9 months to be exact) of analytics career in a Fortune 100 company. In this precious in-between moments, I’d like to take the time to reflect on 3 lessons learned as an analytics professional in the digital marketing industry.

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