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Lab Notebooks

Various Python notebooks and scripts that I created during my time as a member of the Youth Risk and Resilience Lab.

Data Retrieval

Billboard.ipynb - Notebook that fetches Billboard data using HTTP requests and raw HTML parsing. Used Spotify API to get additional data.

FindDOIs.ipynb - Tool that fetches DOIs using the CrossRef API.

Data Management and Processing

Data_Restructure.ipynb - Handful of data restructuring tasks using Pandas.

TikTokData.ipynb - Extraction of data from TikTok HTTP requests.

openpyxl_project - Restructuring of data using openpyxl (before learning Pandas).

Machine Learning

TextClustering.ipynb - K-Means clustering of text data to draw themes from text responses.

Miscellaneous

TikTokDownloader - Tool used to automate the process of downloading TikToks from a list of URLs.

Lab_Presentation.ipynb - Notebook used to give lab presentation.

Credits for data management work:

Nelapati, S., Gabrielli, J., Gobinathan, A., Clement, A., Lukas, I., Subramanian, M., Delapaix, C., Colby, S. M., & Jackson, K. M. (2023, August). Youth motivation as a predictor of mobile ecological momentary assessment (mEMA) compliance. Poster to be submitted to the annual meeting of the American Psychological Association, Washington, D.C.

Clement, A., Gobinathan, A., Phan, P., Favier, T., Russell, A., Gabrielli, J. (2023, November). #SoberTok: Content Analysis of TikTok “Top Videos” for #alcohol and Other Alcohol-Related Terms. Poster to be submitted to the annual meeting of the Collaborative Perspectives on Addiction, Denver, CO.