The @R4DScommunity welcomes you to week 6 of #TidyTuesday!
Get_the_update_here: tidytuesday/data/2023/2023-02-07/readme.md at master · rfordatascience/tidytuesday · GitHub
Big Tech Stock Prices
The data this week comes from Yahoo Finance via Kaggle (by Evan Gower).
This dataset consists of the daily stock prices and volume of 14 different tech companies, including Apple (AAPL), Amazon (AMZN), Alphabet (GOOGL), and Meta Platforms (META) and more!
A number of articles have examined the collapse of "Big Tech" stock prices, including this article from morningstar.com.
Note: All stock_symbols have 3271 prices, except META (2688) and TSLA (3148) because they were not publicly traded for part of the period examined.
Get the data here
# Get the Data
# Read in with tidytuesdayR package
# Install from CRAN via: install.packages("tidytuesdayR")
# This loads the readme and all the datasets for the week of interest
# Either ISO-8601 date or year/week works!
tuesdata <- tidytuesdayR::tt_load('2023-02-07')
tuesdata <- tidytuesdayR::tt_load(2023, week = 6)
big_tech_stock_prices <- tuesdata$big_tech_stock_prices
big_tech_companies <- tuesdata$big_tech_companies
# Or read in the data manually
big_tech_stock_prices <- readr::read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2023/2023-02-07/big_tech_stock_prices.csv')
big_tech_companies <- readr::read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2023/2023-02-07/big_tech_companies.csv')
New to TidyTuesday?
Welcome to the weekly social data project in R. All are welcome!
⬡ TidyTuesday Guide - bit.ly/tidyreadme.
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