benmarwick

---
title: "AY24-25 ARCHY course time overlaps"
format: html
execute: 
  echo: false
  warning: false
self-contained: true
---

benmarwick

library(httr2)
library(tidyverse)
library(sf)
library(lutz)
library(hms)

req <- request("https://api2.sota.org.uk/api/")

# get associations so we can get their time zones via lat-long
resp <- req %>% 

benmarwick

# This script was prepared for ARCHY 486 AU23. It will draw a plot of particle size distribution 
# of multiple sediment samples on a log scale with major size categories indicated for easy 
# comparison. The data should be formatted as in this sheet:
# https://docs.google.com/spreadsheets/d/11RfkGzjpeAT1MAt1w-L5HFgdqzX_kNcXeX3EymvIBpo/edit#gid=390081773
# with column names exactly as found there. 

# get raw data on mass of sediment in the sieves
sieve_measurements <- 
  lab_data_my_group %>% 
  select(sieve_starting_mass_g, 

benmarwick

# following example from https://tensorflow.rstudio.com/tutorials/keras/classification

# do these steps first : https://tensorflow.rstudio.com/install/
library(keras)
library(tidyverse)
library(png)
library(magick)

# get images into R
imgs <- 

benmarwick

library(rvest)
library(tidyverse)
library(lubridate)

# https://bringatrailer.com/electric-vehicles/?search=rivian
# from 11 Jan 2023
url <- "~/Downloads/bat.html"

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---
title: "Untitled"
format: html
editor: visual
---

## Introduction

The aim of this report ...

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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

benmarwick

# 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)

benmarwick

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"))