# Derivatives

This open textbook includes content from other sources. See below for derivative content, with major revisions noted. (Minor revisions – such as editing for length, terminology, and flow – are not noted.)

## Part 2

### 2.2 – Formulate

This chapter was adapted from the following resources:

• Arnold, Taylor, and Lauren Tilton. “New Data? The Role of Statistics in DH.” Debates in Digital Humanities, edited by Matthew K. Gold and Lauren F. Klein, University of Minnesota, 2019. ©
• content from one book chapter shortened and integrated into 2.2 Formulate
• fair use analysis
• Gupta, Aamodini. “Exploring Exploratory Data Analysis.” Towards Data Science, 29 May 2019, https://towardsdatascience.com/exploring-exploratory-data-analysis-1aa72908a5df. ©
• content from article shortened and integrated into 2.2 Formulate, with examples updated to DH projects
•  fair use analysis
• Hoffman, Chad. “Lesson 3: Basic Descriptive Statistics.” Statistics, 2007, https://www.webpages.uidaho.edu/learn/statistics/lessons/lesson03/3_1.htm. ©
• content from linked page of this resource were adapted and integrated into 2.2. Formulate
• fair use analysis

### 2.6 – Tell

This chapter was adapted from Durcevic, Sandra. “Designing charts and graphs: How to choose the right data visualization types.” The datapine blog, 2 May 2019, https://www.datapine.com/blog/how-to-choose-the-right-data-visualization-types. ©

• image embedded (not copied) and linked with attribution into 2.6 Tell
• tips from second half of article summarized and repackaged into 2.6 Tell
• fair use analysis

## Part 4

### 4.1 – Microsoft Excel

This chapter was adapted from Excel Easy, a free-online site that offers tutorial on how to use Excel with extended overviews about various features. This chapter adapted principles from the site’s introduction and basics section. We adapted the tutorial exercises to match datasets in the Black Studies & Digital Humanities dataverse.

### 4.2 – Tableau Public

This chapter was adapted from Tableau Public online resources guide. This site offers users information about the overall tool and offers specific information about how to get started. Specifically, we repurposed the section “Join Your Data” and used pre-made GIFs from the site in this chapter.

### 4.3 – Data Scraping & Cleaning Tools

This chapter was adapted from “Scrape data from wikipedia and put into Google Sheets by Chris Menard.” Specifically, the information regarding how to use a Google Sheet’s formula was used to scrape information from Wikipedia about Jay-Z’s music videos.

### 4.4 – Voyant Tools

This chapter was adapted from “Very basic strategies for interpreting results from the Topic Modeling Tool” by Andy Wallace. The information in this post was repurposed to explain how to use Topic Modeling Tool to analyze Toni Morrison’s Sula. The description of topics related to Sula were generated by students in a Fall 2020 ENGL graduate seminar (Harry Ho, Ashley Johnson, and Robert Tate Morrison).

### 4.5 – Topic Modeling Tool

This chapter was adapted from “Voyant Tools’s Tutorial/Workshop” page. The information served as a model when using the text-mining tool to incorporate interpret Frederick Douglass, Narrative of the Life of Frederick Douglass as a digitized text.