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Carolina Data Challenge 2023

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  • Overview
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  • Participants (120)
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Connect with the participants – support your favorite projects by liking, sharing, and commenting on them.
Identifying Trends in Music Using Spotify API
Identifying Trends in Music Using Spotify API

Changes and trends in popular music have heavily shaped the lives of each generation. We aim to find some of these trends and determine what contributes to creating a hit song in the modern day.

Smrithi T Sadhana Ramesh Timothy Deng
0 0
Analysis of US 2000 and 2010 Demographic Data
Analysis of US 2000 and 2010 Demographic Data

An analysis of how the demographic of US cities has changed from 2000 to 2010 and how this should affect spending.

Prateek Mishra Nandan Mogili Roshan Revankar
0 0
Who will take CONTROL?
Who will take CONTROL?

An analysis of the correlation of total video game sales and critic scores in the 90's and 2000's

Jenni Cuarenta-Olalde Sarai Mora
0 0
Walkability and Demographic Change
Walkability and Demographic Change

Looking for correlations between the National Walkability Index and the change in population in the US from 2000-2010

Simi Singh
1 0
Understanding and Predicting High-Risk Wildfire Zones
Understanding and Predicting High-Risk Wildfire Zones

Over 900,000 wildfires. Devastating effects in Maui. How can we understand and predict risk areas to prevent catastrophes in the future? We present visualizations and a preliminary model to answer.

sarah-e-c Crowder Daniel Wang Arsh M Vibhu Gomatam
4 1
Social Sciences
Social Sciences

Predictable population growth is vital for a healthy economy and effective public policy. But when unforeseen circumstances alter the growth rate, what can the past provide about potential solutions?

Bryan Yang
0 0
Club Compatibility Index (Spotify API)
Club Compatibility Index (Spotify API)

We set out to find correlations across “club” songs, compare them to regular songs, and developed a model to predict whether a song fits the criteria.

Rishi Ranabothu Nithin Sivakumaran Aryan Naik Yashu Singhai
0 0
Health and Nostalgia: Predicting the time spent in hospital
Health and Nostalgia: Predicting the time spent in hospital

Creating Better Healthcare Outcomes: Analyzing Data to Predict Patient Hospital Stay Durations, and Driving Informed Decisions for Improved Patient Care.

Saurav Pandey Jason Kennedy
0 0
Analysis on Video Games from 1980's - 2000's
Analysis on Video Games from 1980's - 2000's

CDC Entry for Business Track 2023

William Millen Fion Lin
0 0
Spotify Nostalgia Analysis
Spotify Nostalgia Analysis

This project utilizes Spotify Web API to extract data from songs between 2000-2010 and conducts a series of time series, genre, and mood analysis

Andrew Yang
0 0
Wave2K
Wave2K

For members of the Gen Z community, the 2000s is the epitome of nostalgia. Wave2K attempts to answer the question: What makes it nostalgic? Is it the song itself, or the memories attached to it?

Emily Chen Alicia Bao
0 0
Random Forest (Fire) Regression
Random Forest (Fire) Regression

Only you can stop forest fires! Our team focused on implementing a random forest model to help mitigate the prevention and spread of forest fires by providing predictive information to responders.

Chris A Jennifer Lee
0 0
Game Sales for Publishers
Game Sales for Publishers

Using historical game sales this data can be used by publishers to determine which developers to bring onto their teams.

Nathan Santiago Betsy george Gianna Loschiavo Matthew Thornton
0 0
Game Industry Analysis
Game Industry Analysis

Aims to analyze the game industry trends during the last 3 decades. Specifically, we label the most popular developers and games. In addition to the relation between critic scores and total selling.

Chengrong Yu Yubo Du shufeng zhang
1 1
Analytix
Analytix

Striving to promote demographic diversity to promote cultural sustainability in the United States.

Rishyendra Medamanuri Yongzhe Wang Rishi Narayanan
1 0

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