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CSE 163 22wi Data Science Fair

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Connect with the participants – support your favorite projects by liking, sharing, and commenting on them.
Synchronic Prediction and Analysis of Personality Traits
Synchronic Prediction and Analysis of Personality Traits

CSE 163 project by Efra Ahsan, Alexey Davydov, and Arthur Milani, wherein we analyze and compare several personality traits with respect to age and geography.

Arthur Milani
0 0
Crime Analysis in Seattle City-Yuang, Alec gao, Ruobing chen
Crime Analysis in Seattle City-Yuang, Alec gao, Ruobing chen

In this project, we would like to investigate how crimes vary in terms of locations, time, and types specifically in the Seattle city area.

Yuang Hou Lang Gao
0 0
The connection between phenotypic data and susceptibility
The connection between phenotypic data and susceptibility

The connection between lipidomic, genotypic, phenotypic data , and susceptibility of S.aureus using data analysis tools learned in CSE 163

Ismael Arturo Ismael4@UW.Edu
0 0
A Quantitative Analysis of Spotify Songs
A Quantitative Analysis of Spotify Songs

Watch it

benjaminmeow Zhou scast26 Castillo nmnobbs
3 0
Analyzing Evolution of Winter Olympic(CSE163 final project)
Analyzing Evolution of Winter Olympic(CSE163 final project)

Authors: Yijie Li, Yichen Shen, Haoran Sun The Olympic games are one of the most influential and well-known international sporting events in the world.

Yijie Li Eakin Shen Haoran Sun
2 0
Analysis of crimes in the US
Analysis of crimes in the US

Here is our analysis. Check it out!

_ shangz7@uw.edu Zirong Guan Geyang Xu
0 0
Ukraine Crisis’ Reddit Popularity Visualized
Ukraine Crisis’ Reddit Popularity Visualized

Solo project exploring the frequency that certain cities are mentioned in Ukraine on Reddit in attempt to find cities that are under-covered.

Richard Todd Schindler
1 1
Effect of GDP per capita on Height
Effect of GDP per capita on Height

Analysis of underlying factor of heigh differences between countries.

Luotong Kang Yiyang Chen
0 1
What Factors Make a Top Charting Song
What Factors Make a Top Charting Song

Through this project, we combine various datasets to answer questions about what makes a popular song, and which songs we should play at a college party.

Sri Pitchapati Hannah Horiuchi Emma Kristina Hibbs
0 0
FIFA Players Rating and Wage Analysis
FIFA Players Rating and Wage Analysis

Visualization and analyzing the statistics of soccer players

Jason WU
0 0
How the NBA has changed over the past 2 decades
How the NBA has changed over the past 2 decades

By: Dylan Pool, Thomas Wilson and Samir Ouijdani

Dylan Pool
0 0
Anime and the People
Anime and the People

Analyzing data on anime

Vincent Le
0 0
Assessment of US Science & Engineering Research Institutions
Assessment of US Science & Engineering Research Institutions

Members: Xavier Beech and Natalie Dean We examined data on research institutions in the US, visualizing trends in location of institutions, subjects of research, and funding sources and quantities.

Natalie Marie Dean
0 0
The Evolution, Success, and Cultural Impact of Movies
The Evolution, Success, and Cultural Impact of Movies

How Films Have Changed Over Time

_ durakrd@uw.edu
0 0
Covid hidden effect study ___final project CSE163____
Covid hidden effect study ___final project CSE163____

What are some effect covid have that is unthought of and surprising?

John Yang
0 2
Anime ratings, what we can tell from them and our prediction
Anime ratings, what we can tell from them and our prediction

An analysis of anime datasets by Christian Tsao, Donny Nguyen, Ryu Ngammuang

Jirawat Christian Tsao Donny Nguyen Natuchkamon Ngammuang
0 0
Determining the most stable financial assets in the market
Determining the most stable financial assets in the market

Novel approach towards stable financial portfolio management

Nikolay Kust
0 0
Cancer Prevalence and Risk Factors Associated
Cancer Prevalence and Risk Factors Associated

Studying cancer prevalence data over time as well as its relations with a number of risk factors, such as alcohol and tobacco use, and if any are hugely related to cancer prevalence.

Blake Maxwell Jacob Peterson
0 0
Analysis of Trends in polyA Sites by Racial Background
Analysis of Trends in polyA Sites by Racial Background

Muhammad Rahman, Faith Ong, Sunny Ye

Faith Ong
0 0
An Exploration of Water Stress
An Exploration of Water Stress

Research involving which regions and countries are suffering the most from water stress/shortages, what may be causing water stress, and if there are deaths related to water stress.

Nora Rogers Casey
0 0
Plant Growth in Counties of Alabama, US
Plant Growth in Counties of Alabama, US

plant growth

_ zli3@uw.edu Aryan Auti Elizabeth Castillo
0 0
Uber vs. Lyft | CSE163 Final Project Presentation
Uber vs. Lyft | CSE163 Final Project Presentation

Our team wants to explore external factors that influence the inconsistent prices of ridesharing services so we can better understand why prices are the way they are, and what they could mean.

Franchezca Layog
1 1
Stroke Predictability and Leading Factors
Stroke Predictability and Leading Factors

Our project allows individuals to input personal metrics and outputs a stroke prediction based on machine learning, classified risk level, and actual probability of suffering a stroke.

Trevor Riordan
1 0
Data Analysis of COVID’s effect on box office performance
Data Analysis of COVID’s effect on box office performance

This Project tried to do data analysis of COVID's effect on box office.

Jun Yong Shin
0 0

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