Skip to content

David Whitmer Test #15

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
djwh1tmer wants to merge 4 commits into
base: main
Choose a base branch
from
Open

David Whitmer Test #15

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
4 commits
Select commit Hold shift + click to select a range
d74f38d
David Whitmer Test
djwh1tmer Jan 23, 2026
bd71ecb
Push
djwh1tmer Jan 29, 2026
da89205
Project Idea
djwh1tmer Jan 30, 2026
4cd3a37
test
djwh1tmer Feb 4, 2026
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
Binary file added .DS_Store
View file
Open in desktop
Binary file not shown.
Binary file added David Whitmer Mini Project Proposal Idea. .docx
View file
Open in desktop
Binary file not shown.
Binary file added Mini Project Proposal Idea 2.docx
View file
Open in desktop
Binary file not shown.
8 changes: 8 additions & 0 deletions Project_Idea.md
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,8 @@
# Project Idea
# David Whitmer
For my three-course sequence to complete the Data Analytics major, I chose English. The goal of this project is to apply data-driven methods to examine narrative time and setting in Karl Ove Knausgaard’s A Death in the Family. Specifically, this project seeks to map the non-chronological movement of the narrative by tracking shifts in temporal position and setting throughout the text. The proposed research question is: How does Knausgaard’s use of non-linear chronology and recurring settings structure the reader’s experience of memory and narration in A Death in the Family? Ultimately, the goal of the project is to help literary scholars and readers make sense of the novel’s fragmented temporal structure by visualizing how the narrative moves across time and place.
The primary text for this project is A Death in the Family, the first volume of Knausgaard’s My Life series. I own a digital copy of the novel, and because the book spans approximately 600 pages, it provides a substantial and ethically sound dataset for analysis. The length and density of the text make it particularly well suited for a data analytics approach, as the narrative repeatedly shifts between different moments in Knausgaard’s life and revisits key locations across decades.
The data for this project will be created through close reading and structured annotation of the text. Each unit of analysis (such as a paragraph or page range) will be tagged for narrative time (for example, childhood, adolescence, early adulthood, or present-day narration following the father’s death) and setting (such as the childhood home, the father’s house, or other significant locations). These annotations will then be organized into a dataset that reflects both the reading order of the novel and the underlying chronological order of the events being narrated.
Once the dataset is constructed, the primary analytical method will be visualization rather than inferential modeling. The central output of the project will be an interactive timeline that displays narrative time and setting in chronological order. When a user hovers over a specific date or time period on the timeline, a representative quotation from the novel will appear, allowing readers to see how Knausgaard’s prose inhabits that moment. By comparing reading order to narrative chronology, the visualization will make visible the extent to which the novel resists linear storytelling and instead organizes memory spatially and temporally.
The intended audience for this project includes literary scholars, students, and readers of contemporary autofiction who may struggle to track the novel’s complex temporal structure through traditional close reading alone. By providing a visual and interactive tool, the project offers a new way to engage with the text that complements, rather than replaces, interpretive literary analysis. The results may also contribute to broader discussions in literary studies about memory, autobiography, and non-linear narrative form.
Ethically, the project poses minimal concerns. Because I own a digital copy of the text, the data is accessed legally and for educational purposes. The project does not involve personal data from living individuals beyond the author himself, and all quotations used in the visualization will be properly cited and limited in length. The goal is not to reproduce the text but to analyze and contextualize it. Overall, this project demonstrates how data analytics methods can be used responsibly to illuminate complex narrative structures in contemporary literature.
Binary file added presentations/.DS_Store
View file
Open in desktop
Binary file not shown.
20 changes: 20 additions & 0 deletions presentations/David Whitmer Test.Rmd
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,20 @@
---
title: "My presentation"
subtitle: "⚔<br/>with xaringan"
author: "David Whitmer"
institute: "RStudio, PBC"
date: "2016/12/12 (updated: `r Sys.Date()`)"
output:
xaringan::moon_reader:
css: xaringan-themer.css
lib_dir: libs
nature:
highlightStyle: github
highlightLines: true
countIncrementalSlides: false
---




# This is a test presentation!
4 changes: 2 additions & 2 deletions presentations/test123.html → presentations/David Whitmer.html
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -3,7 +3,7 @@
<head>
<title>My presentation</title>
<meta charset="utf-8" />
<meta name="author" content="Eren Bilen" />
<meta name="author" content="David Whitmer" />
<script src="libs/header-attrs-2.30/header-attrs.js"></script>
<link rel="stylesheet" href="xaringan-themer.css" type="text/css" />
</head>
Expand All @@ -18,7 +18,7 @@
## ⚔<br/>with xaringan
]
.author[
### Eren Bilen
### David Whitmer
]
.institute[
### RStudio, PBC
Expand Down
12 changes: 12 additions & 0 deletions presentations/libs/header-attrs-2.30/header-attrs.js
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,12 @@
// Pandoc 2.9 adds attributes on both header and div. We remove the former (to
// be compatible with the behavior of Pandoc < 2.8).
document.addEventListener('DOMContentLoaded', function(e) {
var hs = document.querySelectorAll("div.section[class*='level'] > :first-child");
var i, h, a;
for (i = 0; i < hs.length; i++) {
h = hs[i];
if (!/^h[1-6]$/i.test(h.tagName)) continue; // it should be a header h1-h6
a = h.attributes;
while (a.length > 0) h.removeAttribute(a[0].name);
}
});
12 changes: 2 additions & 10 deletions presentations/test123.Rmd
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,7 +1,7 @@
---
title: "My presentation"
subtitle: "⚔<br/>with xaringan"
author: "Eren Bilen"
author: "David Whitmer"
institute: "RStudio, PBC"
date: "2016/12/12 (updated: `r Sys.Date()`)"
output:
Expand All @@ -14,15 +14,7 @@ output:
countIncrementalSlides: false
---

```{r xaringan-themer, include=FALSE, warning=FALSE}
library(xaringanthemer)
style_mono_accent(
base_color = "#1c5253",
header_font_google = google_font("Josefin Sans"),
text_font_google = google_font("Montserrat", "300", "300i"),
code_font_google = google_font("Fira Mono")
)
```



# This is a test presentation!
Binary file added ~$ni Project Proposal Idea 2.docx
View file
Open in desktop
Binary file not shown.