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analyzecollectioncreators

This is a work-in-progress workflow for harvesting MARC records, pulling and refining that data using MARCEdit and OpenRefine, and then using Python to scrape websites for (currently pronouns) to analyze the (currently gender) of the creators. This workflow aims to be easily adaptable so that we can eventually gather data about the ratio of male to female authors, or birth dates of artists, or location of places covered in our various collections.

cni-arl

CNI-ARL Digital Scholarship Workshop

digital-scholarship-institute

Repository for course materials and related resources for the ARL Digital Scholarship Institute.

gitgithub-intro

A brief introduction to Git/Github for those interested in learning more about how and when to use it. The material included was developed for a PD workshop at the Tulane H-TML.

intro_to_dataviz

An introduction to data visualization in R. Tutorial/workshop commissioned by the Howard-Tilton Memorial Library at Tulane University

intro_to_git.github.io

intro_to_git_2023

This tutorial is a brief overview if how to track your projects with Git and collaborate through GitHub.

introduction_to_r

introduction_to_r_part2

latex_turf

latexintroworkshop

This repository contains material for a LaTeX professional development workshop offered to Howard-Tilton Memorial Library employees.

openrefine-intro

Introduction to using OpenRefine

openrefine_intermediate

This workshop (offered 4/23/19) provides a quick introduction to OpenRefine and 3 options for using programming within it.

storymap

A repository for experimenting with zoomify in KnightLab's Storymap tool

trellointroduction

This presentation was given on 2017/08/17 to HTML faculty and staff. It includes sample projects from Trello.

tulane-python-data-visualization-workshop

Workshop materials and data visualization resources for the Introduction to Python for Data Visualization Workshop at Tulane University Howard-Tilton Memorial Library

twitter-workshop

Workshop materials for scraping Twitter with Python