Commodity analysts revise Arch stock forecast upward after observing sustained low inventory cycles in China, which bolsters international pricing power. If you would prefer discover what analysts are predicting in terms of future growth, do not miss this free report on analyst forecasts . # Define the file path to our dataset file_path <- "/kaggle/input/netflix-stock-price-history/Netflix_stock_data.csv" # Load the data using the read_csv function from the readr package # This function is fast and efficiently creates a data frame (specifically, a tibble) netflix_df <- read_csv(file_path) dim(netflix_df) # Returns c(number_of_rows, number_of_columns) # Display the first few rows of the data frame to confirm it loaded correctly head(netflix_df) # Display the last few rows tail(netflix_df) Arch stock forecast models have started to price in inflationary pass-through, allowing the company to offset rising input costs without materially impacting profitability.
