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# This script will take a folder fill of qmd files and try to render each qmd file. | |
# If one qmd fails to render, the script will continue on to the next one. The | |
# results of all the attempts to render are collected in a data frame so we can | |
# easily inspect and find the files that failed to render We don't have to | |
# manually render individual files. | |
# How to use | |
# 1. Download all submissions from Canvas (go to assignment page, look for the | |
# download button near the speedgrader button), when it arrives on your |
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# How many articles on the list in Sept 2021? | |
# First, run some lines from archaepaperswithcode.R to create repo, | |
# then: | |
## Coerce commits to a data.frame | |
df <- as.data.frame(repo) | |
# filter rows of commits from Sept 2021 |
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# JB says she searched for "archaeolog*" and "archeolog*", these return 257 results for me, | |
# much less than the 1002 we get from searching the archaeology 'keyword', e.g. | |
# https://www.pnas.org/action/doSearch?Concept=500376&Concept=500375&startPage=0&sortBy=Earliest | |
# in any case, let's start with "archaeolog*" and "archeolog*", I've copied the URL of the search | |
# results page and edited the URL to return 500 items on the first page, so we can get all results without | |
# having to scrape multiple pages of results, just to simplify the process | |
library(tidyverse) |
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library(tidyverse) | |
library(textreuse) | |
# one row per student, to get the data, go to canvas -> quiz -> 'quiz stats' -> 'student analysis' | |
cnvs <- read_csv("quiz-responses-downloaded-from-canvas.csv") | |
# select only the column with the text we want to compare | |
cnvs_q5 <- | |
cnvs %>% | |
select( q5 = contains("peers' reflections")) |
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library(tidyverse) | |
library(sf) | |
library(googlesheets4) | |
# get our data from google sheets, we need to: | |
# - 'publish to web' | |
# - adjust sharing settings to share with anyone | |
# I've done these, now, so it should just work: | |
my_key <- "1xUqRGnb9kwBi128cERiHkV5w4uREwl-mqAVf0jmQhhg" |
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# also at https://gist.github.com/benmarwick/f11ae49ab9afde0071b133012ff76cbc | |
ctv <- "https://raw.githubusercontent.com/benmarwick/ctv-archaeology/master/README.md" | |
library(tidyverse) | |
library(glue) | |
archy_ctv_readme <- readLines(ctv) | |
# get just the articles |
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# How to save a ggplot as a JPG file with a | |
# specific dpi and dimensions, for example, | |
# because a publisher requires it | |
library(ggplot2) | |
p <- | |
ggplot(mtcars) + | |
aes(mpg, | |
disp) + |
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library(tidyverse) | |
library(rvest) | |
# what quarter and year do we want to check for the availability of DSM courses? | |
qrt_year <- "AUT2020" | |
# this is the URL to our canonical list of DSM courses | |
webpage <- "https://www.washington.edu/uaa/advising/single-pages/data-science-minor/" |
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# from https://github.com/cboettig/compendium/blob/master/.github/workflows/main.yml | |
on: [push] | |
name: render all R Markdown documents | |
jobs: | |
render: | |
name: render all R Markdown documents | |
runs-on: macOS-latest | |
steps: |