Quantifying Myself

Quantifying Myself
Data Science
Statistical Analysis
EDA
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Data Analysis
Analytics

Quantifying Myself

In today’s world, where technology has become an integral part of our lives, the concept of quantifying oneself has gained momentum. According to Gary Wolf and Kevin Kelly in their book ”The Quantified Self,” quantified self-movement involves tracking and analyzing personal data to gain insights into one’s own behavior patterns. As Martin Boehme emphasizes in his podcast episode on the quantified self, tracking daily habits can help to identify patterns and create accountability, leading to long-term behavior change.With this in mind, I have collected data on my daily habits, including my sleeping and waking times, eating habits, exercise routines, and phone usage from September 2020 to January 2021. By tracking this data on a daily basis, I have identified patterns and gained insights into my daily routine. However, it is important to critically evaluate the potential benefits and drawbacks of quantifying oneself. While proponents of the quantified self-movement emphasize the potential for self-improvement through tracking and analyzing personal data, detractors highlight the importance of balancing data-driven decision-making with subjective experience and a holistic understanding of the self. By carefully considering these arguments, I have approached my self-quantification journey in a thoughtful and informed manner. In this report, I will present my findings and reflect on the implications of my self-quantification journey.