tukachev

# AI Model Benchmark Scores Across Domains
# https://x.com/xai/status/1891699715298730482
library(tidyverse)

color_palette <- c(
  "Grok-3" = "#1b9e77",
  "Grok-3 mini" = "#66a61e",
  "Gemini-2 Pro" = "#e7298a",
  "DeepSeek-V3" = "#7570b3",
  "Claude 3.5 Sonnet" = "#d95f02",

tukachev

# 300.ya.ru
# Sys.setenv("YA_TOKEN" = "") # your token

get_sharing_url <- function(article_url) {
  token <- Sys.getenv("YA_TOKEN")
  if (is.null(token) || token == "") {
    stop("YA_TOKEN is empty, please set the environment variable")
  }
  endpoint <- 'https://300.ya.ru/api/sharing-url'
  data <- list(article_url = article_url)

tukachev

library(ggplot2)
library(ggtext)

set.seed(666)

# Функция для генерации случайных точек внутри треугольника
generate_random_points <- function(n, x_min, x_max, y_min, y_max) {
  points <- data.frame(x = numeric(0), y = numeric(0))
  while (nrow(points) < n) {
    x <- runif(1, x_min, x_max)

tukachev

library(httr)
library(jsonlite)
library(dplyr)
library(ggplot2)

# Download full database
astronaut_db_url <-
  'https://supercluster-iadb.s3.us-east-2.amazonaws.com/adb.json'
astronauts_db <-
  jsonlite::fromJSON(content(GET(astronaut_db_url), "text"))

tukachev

library(jsonlite)
library(tidyverse)
library(RColorBrewer)
library(ggtext)
library(OneR)

#extrafont::loadfonts() # fix fonts

streamHistory <-
  list.files(

tukachev

library(tidyverse)
library(ggdark)

astronauts <- readr::read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2020/2020-07-14/astronauts.csv')

astronauts <- astronauts %>%
  mutate(age_at_selection = year_of_selection - year_of_birth,
         age_at_mission = year_of_mission - year_of_birth)

astronauts %>%

tukachev

library(tidyverse)
library(readr)
library(ggtext)

battery_log <- read_csv("battery_log.csv",
                        col_names = FALSE,
                        locale = locale(encoding = "ASCII"))
# View(battery_log)

battery_log <- battery_log %>% rename(

tukachev

library(tidyverse)
library(lubridate)

birthdate <- ymd("1978-06-28")

# Вычисление количества прожитых полных лет и недель
age_years <-
  floor(as.numeric(difftime(Sys.Date(), birthdate, units = "days")) / 365.25)
age_in_weeks <- age_years * 52

tukachev

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

# Загружаем данные из JSON-файла
data <- fromJSON("result.json")

# str(data$messages$text[10])
       

tukachev

library(tidyverse)
# remotes::install_github(c("ropensci/tabulizerjars", "ropensci/tabulizer"), INSTALL_opts = "--no-multiarch")
library(tabulizer)
library(rvest)
library(googlesheets4)

url <- "https://minjust.gov.ru/ru/activity/directions/942/"

links <- read_html(url) %>% 
  html_elements("#section-description > div a") %>%