About this project
The data used in this project is from a dataset of trending YouTube videos in the years 2017-2018.
This project examines the trending YouTube videos in 10 different countries: United States, Russia, Canada, Great Britain, France, Germany, Japan, South Korea, India, and Mexico.
This interactive website allows users to explore the dataset with dashboards, interactive visualizations, charts, and maps.
This website also incorporates machine learning, where the user can enter a hypothetical video title that will run through our classifier model,
returning the predicted category that the video would fall into based on the title content.
The dataset used in this project can be found here.
The repository for this project can be found here.
Word cloud images display some of the most commonly used words in the video titles in this dataset.
Meet the Team
Jen Mahon
IT professional providing business analysis, project coordination, integration support, and overall design and architecture for critical enterprise systems. Regularly partner with business leaders and vendors to analyze existing systems and identify areas for improvement. Advise and design new features and new ERP systems. Skilled in JavaScript, Python Programming, Excel Programming, Front-End Web Visualization, Fundamental Statistics, SQL and Mongo Databases, Tableau and Data Mining.
Fereshteh Aghaei
A self-motivated, detail-oriented, diligent Data Analyst with a multi-disciplinary background in business management and data analytics. Received a Data Analytics Certificate from the University of Denver honing skills in SQL, Python, Tableau, Excel, and more. Adept at working independently and collaborating with teams across multiple functions to take information from a wide variety of sources and effectively break down concepts in layman terms to diverse audiences. Key strengths lie in developing a focused understanding of business needs through strong interpersonal skills while providing adaptable solutions backed by data analysis. Thrives in a collaborative setting to arrive at common goals and objectives.
Julia Squeri
Data analyst with a background in academic research. Graduated from the University of Colorado Boulder with high honors and a degree in Psychology. Currently enrolled in the University of Denver’s Data Visualization bootcamp, gaining skills in VBA, Python, SQL, and more. Enjoys statistics, working with data, and applying analytical thinking skills to complex problems. Interested in analytics, government, political policy and campaigns, national/cyber security issues, and human behavior. Professional experience with data collection and analysis, project management, and research methods/methodology. Highly motivated to continue learning and expanding my skill set, and deeply passionate about applying data based solutions to real world problems.
John Shuford
Experienced Data Analyst with a demonstrated history of working in the health wellness and fitness industry. Skilled in Microsoft Word, Apache Spark, HTML, Data Analytics, and User Experience Design (UED). Strong information technology professional with a Bootcamp focused in Data Analysis and Visualization from University of Denver.