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@URAP-charter
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  1. Code and data for research team that does text analysis: word counts, word embeddings, topic models, parsing HTML, unsupervised clustering, etc.

    Jupyter Notebook 2

  2. Code for managing large data sets in Python, usually with Pandas. These scripts mostly merge, filter, inspect, and count things. Developed for a charter school database of 10K+ units based on web-c…

    Jupyter Notebook

  3. Generalized inductive method of generating domain-specific dictionaries through word embedding models

    Jupyter Notebook 2

  4. Word embedding models and text data from charter school websites for workshop and hackathon of TextXD 2018 at BIDS, UC Berkeley.

    Jupyter Notebook 1 2

  5. Replication code for "Sorting Schools: A Computational Analysis of Charter School Identities and Stratification" research article by Jaren Haber, UC Berkeley. Paper investigates the relationships b…

    Jupyter Notebook 1

  6. Useful scripts and functions for web-crawling and web-scraping, using a variety of modules (mostly in Python): BeautifulSoup, requests, selenium, scrapy, and wget (shell). Used to develop a charter…

    Jupyter Notebook 1

439 contributions in the last year

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Contribution activity

November 2019

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