Open Access. Powered by Scholars. Published by Universities.®
Social and Behavioral Sciences Commons™
Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 2 of 2
Full-Text Articles in Social and Behavioral Sciences
How Granular Do You Want To Go? Analyizing Marcxml Data With Python, Rebecca Hyams
How Granular Do You Want To Go? Analyizing Marcxml Data With Python, Rebecca Hyams
Publications and Research
While Alma Analytics can be quite powerful, it has its limits when it comes to providing answers to complex questions about bibliographic and holdings records. For those of us that do work that includes maintaining and enhancing records, having good quality data is vital in making informed decisions on the best way forward. You may find you want to know things like which additional identifiers are present in the record to help with deduplication efforts, or how many records have a particular formatting issue that needs addressing. The data is already there in the record and can be accessed via …
Processing Government Data: Zip Codes, Python, And Openrefine, Frank Donnelly
Processing Government Data: Zip Codes, Python, And Openrefine, Frank Donnelly
Publications and Research
While there is a vast amount of useful US government data on the web, some of it is in a raw state that is not readily accessible to the average user. Data librarians can improve accessibility and usability for their patrons by processing data to create subsets of local interest and by appending geographic identifiers to help users select and aggregate data. This case study illustrates how census geography crosswalks, Python, and OpenRefine were used to create spreadsheets of non-profit organizations in New York City from the IRS Tax-Exempt Organization Masterfile. This paper illustrates the utility of Python for data …