jthomasmock

library(httr2)
library(semver)
library(glue)

get_compatible_ext <- function(namespace, name, code_version){

  url <- glue::glue("https://open-vsx.org/api/{namespace}/{name}/latest")

  raw_ext_json <- httr2::request(url) %>% 
    req_headers(accept = "application/json") %>% req_perform() %>% resp_body_json()

jthomasmock

``` r
library(dplyr)

# vector operation
chunk_vec <- function(chunk_size){
  ceiling(seq_along(row_number())/chunk_size)
}

# operate on dataframe
chunk_df <- function(.data, chunk_size) {

jthomasmock

library(tidyverse)
library(jsonlite)
library(shiny)

# get_json_data(date)
# score_letters(letters)
# read_keywords() on mac
# split_char(word) into words
# limit_words(words, str_length) to specific length and lower case
# top_words(word, words_in, top_n = 50) - combo of split_char, limit_words

jthomasmock

library(tidyverse)
library(stringr)
library(jsonlite)

# create a function to solve the Keyword game
# this game uses a 6 letter horizontal word at the
# intersection of 6 other words, where a missing letter from each of the vertical words
# accounts for one letter of the mystery 6 letter length horizontal word

# how to play

jthomasmock

library(tidyverse)
library(jsonlite)
library(shiny)

# get_json_data(date)
# score_letters(letters)
# read_keywords() on mac
# split_char(word) into words
# limit_words(words, str_length) to specific length and lower case
# top_words(word, words_in, top_n = 50) - combo of split_char, limit_words

jthomasmock

# Colab follows Google Drive style syntax
# so https://colab.research.google.com/drive/1R_G1BEdOSN6RcmNDZSG0vJtxk4rOodN7
# means file id = 1R_G1BEdOSN6RcmNDZSG0vJtxk4rOodN7

# so to download that file, we could use:
#> This would download the file and -O (output) as temp-quarto.ipynb
wget -O temp-quarto.ipynb 'https://docs.google.com/uc?export=download&id=1R_G1BEdOSN6RcmNDZSG0vJtxk4rOodN7'

# we can then pass that to quarto render
quarto render temp-quarto.ipynb --to html

jthomasmock

gt_render_reprex <- function(gt_object, imgur = FALSE) {

  # create temp file
  img_out <- tempfile(fileext = ".png")

  # save image to temp
  save_obj <- gt::gtsave(gt_object, img_out) %>%
    utils::capture.output(type = "message") %>%
    invisible()

jthomasmock

```{r write-tags}
#| echo: false

library(rvest)
library(xml2)

raw_html <- read_html(here::here("_site/index.html"))

length_tags <- raw_html |> 
  html_nodes("#quarto-margin-sidebar > div > div") |> 

jthomasmock

---
format: html
---

```{r}
library(ggplot2)
library(grid)
```

```{r}

jthomasmock

library(dplyr)

raw_metrics <- espnscrapeR::get_espn_wr_metrics()

raw_metrics |> glimpse()
  
raw_metrics |> 
  group_by(gsis_id) |> 
  summarise(across(c(overall:rtm_targets, yds), mean),
            across(ends_with("nm"), unique)) |>