There is a steadily increasing number of powerful tools available to help with data collection, data cleaning and formatting, analysis, and presentation. Many are free. Here are a few that I have used and would recommend.
|R (statistical programming language)||My current weapon of choice – very powerful, with lots of packages to help with data preparation and analysis. Free to download from www.r-project.org.|
|Microsoft Excel||Industry standard spreadsheet. Powerful and great for exploring and processing data.|
|Gephi||Network analysis software. Free from gephi.org|
|OpenRefine||Very useful for cleaning up and deduplicating data before analysis. Free from openrefine.org|
|AntConc||Text analysis is an interesting field that has applications to musicology (analysing texts about music, song titles, lyrics, etc). AntConc is a fast and simple tool to analyse texts – word frequencies, collocation, etc. Freely available (with various other useful utilities) from www.laurenceanthony.net|
|Wordle||A simple wordcloud generator. Online tool at www.wordle.net|
Cite this article as: Gustar, A.J. 'Analysis Tools' in Statistics in Historical Musicology, 11th July 2017, https://www.musichistorystats.com/resources/analysis-tools/.