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UCLA DataSquad is a team of students who support data-related projects at UCLA.
Our mission is to facilitate data processes for sustainable, replicable, and reproducible research, teaching, and workflows.
Members of the DataSquad do not create, interpret, analyze, dictate, or otherwise change the nature of data sets outside of the prescribed task. The DataSquad is a part of the Library Data Science Center service. The UCLA DataSquad service is a chapter of the DataSquad program that was created by Carleton College https://carletondatasquad.bitbucket.io/.
Our aim is to make your research and work life easier! The DataSquad can grapple with simple to thorny data tasks and problems on your behalf. If there is a more efficient and programmatic way to address your goal we will figure it out and lend a hand.
Our work falls into one of these four categories:
e.g. Scraping or capturing data from multiple sources; Setting up a Dataverse, Git or GitHub repository; Consulting on data programming languages and strategies (Python, R, Java, etc.)
e.g. Data cleaning processes and constructing code-based solutions to data cleaning problems; Identifying metadata strategies and tools
Database Design & Development
e.g. Designing a safe place to capture your data (in SQL or other, as appropriate); Working with data capture or management tools like Qualtrics, Google Forms, Filemaker Pro, Acrobat Pro, etc.
e.g. Creating data visualizations with tools such as Tableau, R & GGplot, R & Shiny, Python & libraries, Excel, Google charts, Plotly & other web-based tools; Consulting about data visualization strategies