Lab 2 Instruction

Description

The Quantified Self (QS) is a movement motivated to leverage the synergy of wearables, analytics, and “Big Data”. This movement exploits the ease and convenience of data acquisition through the internet of things (IoT) to feed the growing obsession of personal informatics and quotidian data. The website http://quantifiedself.com/ is a great place to start to understand more about the QS movement. The value of the QS for our class is that its core mandate is to visualize and generate questions and insights about a topic that is of immense importance to most people - themselves. It also produces a wealth of data in a variety of forms. Therefore, designing this project around the QS movement makes perfect sense because it offers you the opportunity to be both the data and question provider, the data analyst, the vis designer, and the end user. This means you will be in the unique position of being capable of providing feedback and direction at all points along the data visualization/analysis life cycle.

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Project Objective

Develop a series of visualiations based on a series of data about your own life. The actual data used for this project can range from daily sleep regimes, to spatial positioning information at small time intervals, to blood pressure and nutritient intake. The amount of data you collect and harvest will differ based on your specified questions.

Data

I used Apple Watch to record my sleeping cycle from 2017 to July 2019. Data includes following variables - Start Time - End Time - Duration - Nap - Sleep Quality - Time Awake - Time in REM - Time in Light Sleep - Time in Deep Sleep

Questions

  1. What’s the average sleeping duration?
  2. Is Duration vary depend on the differnt time of month?
  3. Which stage of sleep is most common?
  4. Average Sleep Quality?
  5. How the Sleep Patter Distributed?

Data Analysis Q1

Data Analysis Q2

Data Analysis Q3

Data Analysis Q4

Data Analysis Q5

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