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Scholarly Publishing and Research Impact: Mid to Late Career Researcher Edition: Data Wrangling Tools: Cleaning, Analysis, Visualization, etc.
This guide to scholarly communications will acquaint researchers with knowledge and tools for better understanding and managing the creation and dissemination of their scholarly research.
This free cloud service helps clean and prepare messy data quickly and accurately. As soon as you import datasets to Wrangler, it begins to organize and structure your data automatically, then suggest common transformations and aggregations.
ICSR Lab is a cloud-based computational platform which enables you to analyze large structured datasets. Use is free, but you must apply with a project proposal. ICSR Lab is accessible in all major web browsers, and you can code in interactive notebooks.
"In this course, you will develop and test hypotheses about your data. You will learn a variety of statistical tests, as well as strategies to know how to apply the appropriate one to your specific data and question. Using your choice of two powerful statistical software packages (SAS or Python), you will explore ANOVA, Chi-Square, and Pearson correlation analysis. This course will guide you through basic statistical principles to give you the tools to answer questions you have developed."
Digital Humanities and Digital History Tools
For tools to work with translation, text mining, text analysis, audio analysis, timelines, maps, annotations, and more, check out this guide: