The Impact of Video Length and Interactivity on YouTube Channel Size and Video Popularity: Analysis of Greece's Most-Viewed Channels
Social Data Science Project | The Impact of Video Length and Interactivity on YouTube Channel Size and Video Popularity: Analysis of Greece's Most-Viewed Channels
Objective:To explore how video length, content type, and interactivity affect channel size and video popularity among the most-viewed YouTube channels in Greece using data from the YouTube API.
.ipynb files
File | Description |
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agmvc-dataCollection-API-cleaning-processing.ipynb | Notebook for collecting data via YouTube API, cleaning, and processing to create relational datasets with channel, video, and anonymized comment data. |
agmvc-visualizations.ipynb | Notebook for generating univariate and bivariate plots to explore channel statistics, video metrics, and relationships like video length vs. views and interactivity vs. comments. |
agmvc-DataAnalysis-LogisticRegressionModel.ipynb | Notebook for data analysis and regression modeling, including word count analysis, linear regression, and logistic regression models with control variables, interaction terms, and categorical predictors |
pdf & .csv files
File | Description |
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Datasets-Descriptions+Ethics-Reflections.pdf | Document detailing datasets (channels, videos, comments) and ethical considerations related to YouTube API usage. |
channelData.csv | Dataset with key metrics and metadata for 37 YouTube channels, excluding big brands, record companies, and artists, including subscriber counts, total views, uploads, channel descriptions, and playlist identifiers |
VideoData.csv | Dataset with metadata and performance metrics for 13,780 YouTube videos, including titles, descriptions, tags, views, likes, comments, video duration, categorical length, and cleaned descriptions. |
CommentsDataP.csv | Dataset of anonymized comments and threads from 100 randomly sampled videos across 37 channels, providing insights into audience interactions and creator engagement. |