Title: Exploring Age Distribution and Handedness: Dispelling Myths of Early Death Among Left-handers
In this engaging and data-driven project, we delve into the intriguing correlation between handedness and age at death. The common belief that left-handers experience an earlier demise than their right-handed counterparts has long persisted, but this project aims to challenge and debunk this notion using age distribution data and sophisticated statistical techniques.
Employing the power of Python's data manipulation library, pandas, and the robust framework of Bayesian statistics, this notebook presents a systematic analysis of the age distribution of individuals at the time of their passing. By meticulously studying historical records and datasets, we embark on a journey to explore whether the changing rates of left-handedness over time can inherently influence the average age at death.
The project unfolds through a series of well-defined steps:
We gather comprehensive datasets containing information about age at death and handedness of individuals. These datasets span various time periods and demographics to ensure a comprehensive representation.
Leveraging pandas, we meticulously clean and organize the collected data. This involves handling missing values, standardizing formats, and creating necessary features for analysis.
Through visually compelling graphs and statistical summaries, we first examine the overall age distribution of the population. This step sets the stage for comparing left-handed and right-handed individuals' age distributions.
The heart of the analysis lies in Bayesian inference. By formulating appropriate Bayesian models, we calculate the probability of being a certain age at death for both left-handed and right-handed individuals. This approach enables us to account for uncertainties and varying sample sizes across different time periods.
Armed with Bayesian results, we rigorously test the claim of early death for left-handers. We compare the average age at death for both groups, accounting for the changing rates of left-handedness over time.
The findings are presented in an easy-to-understand manner through intuitive visualizations and clear explanations. We highlight the key insights that challenge the prevailing myth and provide a fresh perspective on the relationship between handedness and lifespan
By the end of this project, you will gain a profound understanding of how data analysis, pandas, and Bayesian statistics converge to unveil insights that challenge commonly held beliefs. This project not only showcases the power of data-driven inquiry but also underscores the importance of critically evaluating age-old assumptions using modern analytical techniques. Whether you're an aspiring data scientist, a statistics enthusiast, or simply curious about the mysteries of human longevity, this project offers a captivating exploration into the interplay between handedness and the age at which we bid farewell to life.
**** THIS DATA SET IS TAKEN FROM https://gist.githubusercontent.com/mbonsma/8da0990b71ba9a09f7de395574e54df1/raw/aec88b30af87fad8d45da7e774223f91dad09e88 ****