Dataset consists of 2022 Daily S&P 500 Stocks Data with columns - Date of type Quantitative : Specifies trading date, Open of type Quantitative : Opening price, High of type Quantitative : Maximum price during the day, Low of type Quantitative : Minimum price during the day, Close of type Quantitative : Close price adjusted for splits, Adj Close of type Quantitative : Adjusted close price adjusted for both dividends and splits, Volume of type Quantitative : The number of shares that changed hands during a given day.

This data was obtained from https://www.kaggle.com/datasets/jacksoncrow/stock-market-dataset.

Even though data is around 7.8 MB after filtering for 2022, it could be further compressed by filtering for weekly data.

Ideas - By combining this with the metadata for the companies, indurstries with least return and most return could be analysed. Visualization available at https://www.reddit.com/r/dataisbeautiful/comments/xuk355/oc_the_stock_market_is_at_a_new_low_for_2022/?utm_source=share&utm_medium=web2x&context=3 could be used for inspiration.