Datasets:

grasimus
/

olympic-data-analysis

Modalities:

Formats:

csv

Size:

Libraries:

Dataset card Data Studio Files Files and versions

xet

Community

Dataset Viewer

Auto-converted to Parquet Duplicate

Split (1)

train · 271k rows

ID int64 1 136k	Name stringlengths 2 108	Sex stringclasses 2 values	Age float64 10 97 ⌀	Height float64 127 226 ⌀	Weight float64 25 214 ⌀	Team stringlengths 2 47	NOC stringclasses 230 values	Games stringclasses 51 values	Year int64 1.9k 2.02k	Season stringclasses 2 values	City stringclasses 42 values	Sport stringclasses 66 values	Event stringclasses 765 values	Medal stringclasses 3 values
1	A Dijiang	M	24	180	80	China	CHN	1992 Summer	1,992	Summer	Barcelona	Basketball	Basketball Men's Basketball	null
2	A Lamusi	M	23	170	60	China	CHN	2012 Summer	2,012	Summer	London	Judo	Judo Men's Extra-Lightweight	null
3	Gunnar Nielsen Aaby	M	24	null	null	Denmark	DEN	1920 Summer	1,920	Summer	Antwerpen	Football	Football Men's Football	null
4	Edgar Lindenau Aabye	M	34	null	null	Denmark/Sweden	DEN	1900 Summer	1,900	Summer	Paris	Tug-Of-War	Tug-Of-War Men's Tug-Of-War	Gold
5	Christine Jacoba Aaftink	F	21	185	82	Netherlands	NED	1988 Winter	1,988	Winter	Calgary	Speed Skating	Speed Skating Women's 500 metres	null
5	Christine Jacoba Aaftink	F	21	185	82	Netherlands	NED	1988 Winter	1,988	Winter	Calgary	Speed Skating	Speed Skating Women's 1,000 metres	null
5	Christine Jacoba Aaftink	F	25	185	82	Netherlands	NED	1992 Winter	1,992	Winter	Albertville	Speed Skating	Speed Skating Women's 500 metres	null
5	Christine Jacoba Aaftink	F	25	185	82	Netherlands	NED	1992 Winter	1,992	Winter	Albertville	Speed Skating	Speed Skating Women's 1,000 metres	null
5	Christine Jacoba Aaftink	F	27	185	82	Netherlands	NED	1994 Winter	1,994	Winter	Lillehammer	Speed Skating	Speed Skating Women's 500 metres	null
5	Christine Jacoba Aaftink	F	27	185	82	Netherlands	NED	1994 Winter	1,994	Winter	Lillehammer	Speed Skating	Speed Skating Women's 1,000 metres	null
6	Per Knut Aaland	M	31	188	75	United States	USA	1992 Winter	1,992	Winter	Albertville	Cross Country Skiing	Cross Country Skiing Men's 10 kilometres	null
6	Per Knut Aaland	M	31	188	75	United States	USA	1992 Winter	1,992	Winter	Albertville	Cross Country Skiing	Cross Country Skiing Men's 50 kilometres	null
6	Per Knut Aaland	M	31	188	75	United States	USA	1992 Winter	1,992	Winter	Albertville	Cross Country Skiing	Cross Country Skiing Men's 10/15 kilometres Pursuit	null
6	Per Knut Aaland	M	31	188	75	United States	USA	1992 Winter	1,992	Winter	Albertville	Cross Country Skiing	Cross Country Skiing Men's 4 x 10 kilometres Relay	null
6	Per Knut Aaland	M	33	188	75	United States	USA	1994 Winter	1,994	Winter	Lillehammer	Cross Country Skiing	Cross Country Skiing Men's 10 kilometres	null
6	Per Knut Aaland	M	33	188	75	United States	USA	1994 Winter	1,994	Winter	Lillehammer	Cross Country Skiing	Cross Country Skiing Men's 30 kilometres	null
6	Per Knut Aaland	M	33	188	75	United States	USA	1994 Winter	1,994	Winter	Lillehammer	Cross Country Skiing	Cross Country Skiing Men's 10/15 kilometres Pursuit	null
6	Per Knut Aaland	M	33	188	75	United States	USA	1994 Winter	1,994	Winter	Lillehammer	Cross Country Skiing	Cross Country Skiing Men's 4 x 10 kilometres Relay	null
7	John Aalberg	M	31	183	72	United States	USA	1992 Winter	1,992	Winter	Albertville	Cross Country Skiing	Cross Country Skiing Men's 10 kilometres	null
7	John Aalberg	M	31	183	72	United States	USA	1992 Winter	1,992	Winter	Albertville	Cross Country Skiing	Cross Country Skiing Men's 50 kilometres	null
7	John Aalberg	M	31	183	72	United States	USA	1992 Winter	1,992	Winter	Albertville	Cross Country Skiing	Cross Country Skiing Men's 10/15 kilometres Pursuit	null
7	John Aalberg	M	31	183	72	United States	USA	1992 Winter	1,992	Winter	Albertville	Cross Country Skiing	Cross Country Skiing Men's 4 x 10 kilometres Relay	null
7	John Aalberg	M	33	183	72	United States	USA	1994 Winter	1,994	Winter	Lillehammer	Cross Country Skiing	Cross Country Skiing Men's 10 kilometres	null
7	John Aalberg	M	33	183	72	United States	USA	1994 Winter	1,994	Winter	Lillehammer	Cross Country Skiing	Cross Country Skiing Men's 30 kilometres	null
7	John Aalberg	M	33	183	72	United States	USA	1994 Winter	1,994	Winter	Lillehammer	Cross Country Skiing	Cross Country Skiing Men's 10/15 kilometres Pursuit	null
7	John Aalberg	M	33	183	72	United States	USA	1994 Winter	1,994	Winter	Lillehammer	Cross Country Skiing	Cross Country Skiing Men's 4 x 10 kilometres Relay	null
8	Cornelia "Cor" Aalten (-Strannood)	F	18	168	null	Netherlands	NED	1932 Summer	1,932	Summer	Los Angeles	Athletics	Athletics Women's 100 metres	null
8	Cornelia "Cor" Aalten (-Strannood)	F	18	168	null	Netherlands	NED	1932 Summer	1,932	Summer	Los Angeles	Athletics	Athletics Women's 4 x 100 metres Relay	null
9	Antti Sami Aalto	M	26	186	96	Finland	FIN	2002 Winter	2,002	Winter	Salt Lake City	Ice Hockey	Ice Hockey Men's Ice Hockey	null
10	Einar Ferdinand "Einari" Aalto	M	26	null	null	Finland	FIN	1952 Summer	1,952	Summer	Helsinki	Swimming	Swimming Men's 400 metres Freestyle	null
11	Jorma Ilmari Aalto	M	22	182	76.5	Finland	FIN	1980 Winter	1,980	Winter	Lake Placid	Cross Country Skiing	Cross Country Skiing Men's 30 kilometres	null
12	Jyri Tapani Aalto	M	31	172	70	Finland	FIN	2000 Summer	2,000	Summer	Sydney	Badminton	Badminton Men's Singles	null
13	Minna Maarit Aalto	F	30	159	55.5	Finland	FIN	1996 Summer	1,996	Summer	Atlanta	Sailing	Sailing Women's Windsurfer	null
13	Minna Maarit Aalto	F	34	159	55.5	Finland	FIN	2000 Summer	2,000	Summer	Sydney	Sailing	Sailing Women's Windsurfer	null
14	Pirjo Hannele Aalto (Mattila-)	F	32	171	65	Finland	FIN	1994 Winter	1,994	Winter	Lillehammer	Biathlon	Biathlon Women's 7.5 kilometres Sprint	null
15	Arvo Ossian Aaltonen	M	22	null	null	Finland	FIN	1912 Summer	1,912	Summer	Stockholm	Swimming	Swimming Men's 200 metres Breaststroke	null
15	Arvo Ossian Aaltonen	M	22	null	null	Finland	FIN	1912 Summer	1,912	Summer	Stockholm	Swimming	Swimming Men's 400 metres Breaststroke	null
15	Arvo Ossian Aaltonen	M	30	null	null	Finland	FIN	1920 Summer	1,920	Summer	Antwerpen	Swimming	Swimming Men's 200 metres Breaststroke	Bronze
15	Arvo Ossian Aaltonen	M	30	null	null	Finland	FIN	1920 Summer	1,920	Summer	Antwerpen	Swimming	Swimming Men's 400 metres Breaststroke	Bronze
15	Arvo Ossian Aaltonen	M	34	null	null	Finland	FIN	1924 Summer	1,924	Summer	Paris	Swimming	Swimming Men's 200 metres Breaststroke	null
16	Juhamatti Tapio Aaltonen	M	28	184	85	Finland	FIN	2014 Winter	2,014	Winter	Sochi	Ice Hockey	Ice Hockey Men's Ice Hockey	Bronze
17	Paavo Johannes Aaltonen	M	28	175	64	Finland	FIN	1948 Summer	1,948	Summer	London	Gymnastics	Gymnastics Men's Individual All-Around	Bronze
17	Paavo Johannes Aaltonen	M	28	175	64	Finland	FIN	1948 Summer	1,948	Summer	London	Gymnastics	Gymnastics Men's Team All-Around	Gold
17	Paavo Johannes Aaltonen	M	28	175	64	Finland	FIN	1948 Summer	1,948	Summer	London	Gymnastics	Gymnastics Men's Floor Exercise	null
17	Paavo Johannes Aaltonen	M	28	175	64	Finland	FIN	1948 Summer	1,948	Summer	London	Gymnastics	Gymnastics Men's Horse Vault	Gold
17	Paavo Johannes Aaltonen	M	28	175	64	Finland	FIN	1948 Summer	1,948	Summer	London	Gymnastics	Gymnastics Men's Parallel Bars	null
17	Paavo Johannes Aaltonen	M	28	175	64	Finland	FIN	1948 Summer	1,948	Summer	London	Gymnastics	Gymnastics Men's Horizontal Bar	null
17	Paavo Johannes Aaltonen	M	28	175	64	Finland	FIN	1948 Summer	1,948	Summer	London	Gymnastics	Gymnastics Men's Rings	null
17	Paavo Johannes Aaltonen	M	28	175	64	Finland	FIN	1948 Summer	1,948	Summer	London	Gymnastics	Gymnastics Men's Pommelled Horse	Gold
17	Paavo Johannes Aaltonen	M	32	175	64	Finland	FIN	1952 Summer	1,952	Summer	Helsinki	Gymnastics	Gymnastics Men's Individual All-Around	null
17	Paavo Johannes Aaltonen	M	32	175	64	Finland	FIN	1952 Summer	1,952	Summer	Helsinki	Gymnastics	Gymnastics Men's Team All-Around	Bronze
17	Paavo Johannes Aaltonen	M	32	175	64	Finland	FIN	1952 Summer	1,952	Summer	Helsinki	Gymnastics	Gymnastics Men's Floor Exercise	null
17	Paavo Johannes Aaltonen	M	32	175	64	Finland	FIN	1952 Summer	1,952	Summer	Helsinki	Gymnastics	Gymnastics Men's Horse Vault	null
17	Paavo Johannes Aaltonen	M	32	175	64	Finland	FIN	1952 Summer	1,952	Summer	Helsinki	Gymnastics	Gymnastics Men's Parallel Bars	null
17	Paavo Johannes Aaltonen	M	32	175	64	Finland	FIN	1952 Summer	1,952	Summer	Helsinki	Gymnastics	Gymnastics Men's Horizontal Bar	null
17	Paavo Johannes Aaltonen	M	32	175	64	Finland	FIN	1952 Summer	1,952	Summer	Helsinki	Gymnastics	Gymnastics Men's Rings	null
17	Paavo Johannes Aaltonen	M	32	175	64	Finland	FIN	1952 Summer	1,952	Summer	Helsinki	Gymnastics	Gymnastics Men's Pommelled Horse	null
18	Timo Antero Aaltonen	M	31	189	130	Finland	FIN	2000 Summer	2,000	Summer	Sydney	Athletics	Athletics Men's Shot Put	null
19	Win Valdemar Aaltonen	M	54	null	null	Finland	FIN	1948 Summer	1,948	Summer	London	Art Competitions	Art Competitions Mixed Sculpturing, Unknown Event	null
20	Kjetil Andr Aamodt	M	20	176	85	Norway	NOR	1992 Winter	1,992	Winter	Albertville	Alpine Skiing	Alpine Skiing Men's Downhill	null
20	Kjetil Andr Aamodt	M	20	176	85	Norway	NOR	1992 Winter	1,992	Winter	Albertville	Alpine Skiing	Alpine Skiing Men's Super G	Gold
20	Kjetil Andr Aamodt	M	20	176	85	Norway	NOR	1992 Winter	1,992	Winter	Albertville	Alpine Skiing	Alpine Skiing Men's Giant Slalom	Bronze
20	Kjetil Andr Aamodt	M	20	176	85	Norway	NOR	1992 Winter	1,992	Winter	Albertville	Alpine Skiing	Alpine Skiing Men's Slalom	null
20	Kjetil Andr Aamodt	M	22	176	85	Norway	NOR	1994 Winter	1,994	Winter	Lillehammer	Alpine Skiing	Alpine Skiing Men's Downhill	Silver
20	Kjetil Andr Aamodt	M	22	176	85	Norway	NOR	1994 Winter	1,994	Winter	Lillehammer	Alpine Skiing	Alpine Skiing Men's Super G	Bronze
20	Kjetil Andr Aamodt	M	22	176	85	Norway	NOR	1994 Winter	1,994	Winter	Lillehammer	Alpine Skiing	Alpine Skiing Men's Giant Slalom	null
20	Kjetil Andr Aamodt	M	22	176	85	Norway	NOR	1994 Winter	1,994	Winter	Lillehammer	Alpine Skiing	Alpine Skiing Men's Slalom	null
20	Kjetil Andr Aamodt	M	22	176	85	Norway	NOR	1994 Winter	1,994	Winter	Lillehammer	Alpine Skiing	Alpine Skiing Men's Combined	Silver
20	Kjetil Andr Aamodt	M	26	176	85	Norway	NOR	1998 Winter	1,998	Winter	Nagano	Alpine Skiing	Alpine Skiing Men's Downhill	null
20	Kjetil Andr Aamodt	M	26	176	85	Norway	NOR	1998 Winter	1,998	Winter	Nagano	Alpine Skiing	Alpine Skiing Men's Super G	null
20	Kjetil Andr Aamodt	M	26	176	85	Norway	NOR	1998 Winter	1,998	Winter	Nagano	Alpine Skiing	Alpine Skiing Men's Giant Slalom	null
20	Kjetil Andr Aamodt	M	26	176	85	Norway	NOR	1998 Winter	1,998	Winter	Nagano	Alpine Skiing	Alpine Skiing Men's Combined	null
20	Kjetil Andr Aamodt	M	30	176	85	Norway	NOR	2002 Winter	2,002	Winter	Salt Lake City	Alpine Skiing	Alpine Skiing Men's Downhill	null
20	Kjetil Andr Aamodt	M	30	176	85	Norway	NOR	2002 Winter	2,002	Winter	Salt Lake City	Alpine Skiing	Alpine Skiing Men's Super G	Gold
20	Kjetil Andr Aamodt	M	30	176	85	Norway	NOR	2002 Winter	2,002	Winter	Salt Lake City	Alpine Skiing	Alpine Skiing Men's Giant Slalom	null
20	Kjetil Andr Aamodt	M	30	176	85	Norway	NOR	2002 Winter	2,002	Winter	Salt Lake City	Alpine Skiing	Alpine Skiing Men's Slalom	null
20	Kjetil Andr Aamodt	M	30	176	85	Norway	NOR	2002 Winter	2,002	Winter	Salt Lake City	Alpine Skiing	Alpine Skiing Men's Combined	Gold
20	Kjetil Andr Aamodt	M	34	176	85	Norway	NOR	2006 Winter	2,006	Winter	Torino	Alpine Skiing	Alpine Skiing Men's Downhill	null
20	Kjetil Andr Aamodt	M	34	176	85	Norway	NOR	2006 Winter	2,006	Winter	Torino	Alpine Skiing	Alpine Skiing Men's Super G	Gold
21	Ragnhild Margrethe Aamodt	F	27	163	null	Norway	NOR	2008 Summer	2,008	Summer	Beijing	Handball	Handball Women's Handball	Gold
22	Andreea Aanei	F	22	170	125	Romania	ROU	2016 Summer	2,016	Summer	Rio de Janeiro	Weightlifting	Weightlifting Women's Super-Heavyweight	null
23	Fritz Aanes	M	22	187	89	Norway	NOR	2000 Summer	2,000	Summer	Sydney	Wrestling	Wrestling Men's Light-Heavyweight, Greco-Roman	null
23	Fritz Aanes	M	26	187	89	Norway	NOR	2004 Summer	2,004	Summer	Athina	Wrestling	Wrestling Men's Light-Heavyweight, Greco-Roman	null
24	Nils Egil Aaness	M	24	null	null	Norway	NOR	1960 Winter	1,960	Winter	Squaw Valley	Speed Skating	Speed Skating Men's 500 metres	null
24	Nils Egil Aaness	M	24	null	null	Norway	NOR	1960 Winter	1,960	Winter	Squaw Valley	Speed Skating	Speed Skating Men's 1,500 metres	null
24	Nils Egil Aaness	M	27	null	null	Norway	NOR	1964 Winter	1,964	Winter	Innsbruck	Speed Skating	Speed Skating Men's 1,500 metres	null
25	Alf Lied Aanning	M	24	null	null	Norway	NOR	1920 Summer	1,920	Summer	Antwerpen	Gymnastics	Gymnastics Men's Team All-Around, Free System	Silver
26	Agnes Erika Aanonsen (-Eyde)	F	17	169	65	Norway	NOR	1984 Winter	1,984	Winter	Sarajevo	Luge	Luge Women's Singles	null
27	Johan Aantjes	M	26	null	null	Netherlands	NED	1984 Summer	1,984	Summer	Los Angeles	Water Polo	Water Polo Men's Water Polo	null
28	Jan-Erik Aarberg	M	43	170	77	Norway	NOR	1968 Summer	1,968	Summer	Mexico City	Sailing	Sailing Mixed Three Person Keelboat	null
28	Jan-Erik Aarberg	M	47	170	77	Norway	NOR	1972 Summer	1,972	Summer	Munich	Sailing	Sailing Mixed Three Person Keelboat	null
29	Willemien Aardenburg	F	22	null	null	Netherlands	NED	1988 Summer	1,988	Summer	Seoul	Hockey	Hockey Women's Hockey	Bronze
30	Pepijn Aardewijn	M	26	189	72	Netherlands	NED	1996 Summer	1,996	Summer	Atlanta	Rowing	Rowing Men's Lightweight Double Sculls	Silver
30	Pepijn Aardewijn	M	30	189	72	Netherlands	NED	2000 Summer	2,000	Summer	Sydney	Rowing	Rowing Men's Lightweight Double Sculls	null
31	Evald rma (rman-)	M	24	174	70	Estonia	EST	1936 Summer	1,936	Summer	Berlin	Athletics	Athletics Men's Pole Vault	null
32	Olav Augunson Aarnes	M	23	null	null	Norway	NOR	1912 Summer	1,912	Summer	Stockholm	Athletics	Athletics Men's High Jump	null
33	Mika Lauri Aarnikka	M	24	187	76	Finland	FIN	1992 Summer	1,992	Summer	Barcelona	Sailing	Sailing Men's Two Person Dinghy	null
33	Mika Lauri Aarnikka	M	28	187	76	Finland	FIN	1996 Summer	1,996	Summer	Atlanta	Sailing	Sailing Men's Two Person Dinghy	null
34	Jamale (Djamel-) Aarrass (Ahrass-)	M	30	187	76	France	FRA	2012 Summer	2,012	Summer	London	Athletics	Athletics Men's 1,500 metres	null
35	Dagfinn Sverre Aarskog	M	24	190	98	Norway	NOR	1998 Winter	1,998	Winter	Nagano	Bobsleigh	Bobsleigh Men's Four	null

End of preview. Expand in Data Studio

The analysis behind the glory: 120 Years of Data

Project Overview

In this project, I performed a comprehensive Exploratory Data Analysis (EDA) on a dataset covering 120 years of Olympic history. My main goal was to transform a messy, historical dataset into a clean, analyzed resource to uncover the key physical, demographic, and geopolitical factors that determine an athlete's success.

Dataset Description

The dataset provides a wide view of Olympic athletes over a century, from basic demographics to physical attributes and medal outcomes.

Demographics: Age, Sex, Team/Country, Year.
Physical Metrics: Height, Weight.
Contextual Data: Sport, Event.
Target Variable: Has_Medal (Created feature: 1 for winning any medal, 0 for none).

Phase 1: Data Cleaning & Preprocessing

This historical dataset was naturally messy, containing missing records from early 1900s games and human data-entry errors. I followed a chronological process to clean it:

Feature Engineering (Target Variable): I converted the categorical "Medal" column into a binary Has_Medal integer column. This is crucial for calculating mathematical probabilities and success rates later in the project.
Handling Missing Data (Smart Imputation): I identified thousands of rows missing Height and Weight. Instead of using a generic average, I filled these missing values using the specific Mean of the athlete's Sport and Sex.
Outlier Detection & Filtering: I discovered extreme physiological anomalies, such as an adult athlete listed at 28kg being 1.83 meters, and participants with recorded ages over 80 during intense active competition years. I filtered these out as corrupted historical data.

Why I chose Smart Imputation over Dropping Rows: I decided to handle the massive amount of missing physiological data by imputing values based on Sport and Sex, rather than simply dropping the rows entirely. I chose this approach because dropping every athlete with a missing weight would have drastically reduced my dataset size and erased the history of athletes from earlier eras where measurements weren't strictly documented. By using targeted group averages (e.g., filling a missing female gymnast's height only with the average height of other female gymnasts), I preserved the massive scale of the dataset while ensuring the imputed numbers were biologically realistic. This allowed me to neutralize missing data without distorting the statistical realities of each distinct sport.

The Gender Revolution: A Century of Change

How has female participation in the Olympic Games evolved over the past 120 years, and does the data reflect broader social changes?

The visualization below clearly maps a massive historical shift. From near-zero female participation at the dawn of the modern games, we see a steady climb, culminating in a dramatic acceleration towards equality in recent decades. The data isn't just about sports; it's a mirror of global social progress.

National Efficiency: Quality over Quantity

Which countries are the most "efficient" at the Olympics? Is it just about sending the largest delegation, or do some nations convert athletes to medals at a much higher rate?

Simply counting total medals is biased toward massive countries like the US or the former USSR that send huge delegations. By calculating the "Conversion Rate" (total medals divided by unique participants), we reveal the true sporting powerhouses. The graph below shows the top 15 most efficient nations.

The Age Factor: Is There a "Prime" Olympic Age?

At what age do athletes peak in the Olympic games, and does winning a medal correlate with a specific age bracket?

The KDE (Kernel Density Estimate) distribution reveals a distinct "Gold Zone" between the ages of 22 and 27. The density of medalists drops sharply after age 30. However, the long "tail" on the right side of the graph highlights fascinating "Veteran Anomalies" in sports like Equestrian or Shooting, where precise experience outweighs raw physical athleticism.

Youth vs. Experience: Who Actually Wins?

We often hear about teenage prodigies in the Olympics, especially in gymnastics. But statistically, do minors (under 18) or adults have a better "conversion rate" (medals per athlete)?

While young athletes capture our imagination, the data proves the power of physical maturity. Not only do adults make up the vast majority of competitors (over 95%), but they also have a significantly higher conversion rate. The visualizations below demonstrate that years of physical development, mental resilience, and experience yield a higher return on investment (ROI) than the raw agility of youth.

The Physical Paradox: Is There a "Perfect" Olympic Body?

Do general physical attributes like Height and Weight correlate with winning a medal?

The correlation heatmap below reveals a surprising "paradox." Look at the bottom row (Has_Medal): the correlation with Height (0.08) and Weight (0.08) is almost zero! Does this mean physical size doesn't matter in the Olympics? Not at all. It means that looking at the Olympics as a single macro-dataset is heavily misleading.

Resolving the Paradox: Physical Clustering

By isolating four distinct sports, the scatter plot below reveals clear "Physical Identities" (clusters). Gymnasts are concentrated in the bottom-left (short and light), while Basketball players dominate the top-right (tall and heavy). The "Perfect Olympic Body" doesn't exist in general—it is entirely sport-dependent.

The Outlier Advantage: Do You Need to be an Anomaly?

Does being a physical "anomaly" give you an advantage, and in which sports is this most critical?

By calculating the exact deviation of medalists from their specific Event and Sex averages, the horizontal bar chart below reveals the top 10 sports that heavily reward physical extremes. Unsurprisingly, "open" sports without weight classes—like Basketball and Volleyball—top the list. In these arenas, being a massive physical outlier is a distinct statistical advantage.

Closing Thoughts: The Blueprint of a Champion

After diving into 120 years of Olympic history, it’s clear that winning isn’t just about "training harder"—it’s about a perfect alignment between a person's biology and the specific demands of their sport.

The "Winning Formula" identified in this data: Through this research, I’ve shown that success is rarely random. It happens in the "Gold Zone" of the mid-20s, and it heavily favors those who fit a specific physical mold. While we often think of the Olympics as a broad competition, my analysis proves it is actually a collection of highly specialized niches. From the "Anomaly Advantage" in Basketball to the strict physical conformity of Gymnastics, the data tells a story of extreme specialization.

Technical Stack:

Pandas & Numpy: Data cleaning and Feature Engineering.

Matplotlib & Seaborn: Professional EDA and statistical plotting.

Downloads last month: 13