Contains stock prices and other details for stocks listed in NEPSE, categorized by date and stock.

All data herein were extracted by web-scraping the official website of the Nepal Stock Exchange (old website). NEPSE official website: http://www.nepalstock.com/

Company details were obtained by web-scraping the webpage at the following link. The data obtained can be found in the "companies_with_details.csv" file. "http://www.nepalstock.com/company">http://www.nepalstock.com/company

Stock Prices and other details for each day starting 2022-06-03 till 2022-07-08 were obtained by web-scraping webpage at the following link. The data obtained can be found in the "By_Date" folder. "http://www.nepalstock.com/todaysprice">http://www.nepalstock.com/todaysprice

Python and BeautifulSoup were used to do the scrapping. 2012-06-03 was used as the start date of data collection because this seems to be the oldest date where data exist at the above link. Non-Traded days have been excluded.

The data obtained thus was further combed through to categorize the data based on individual stocks. The data obtained can be found in the "By_Stock" folder. Note that a few filenames may not match exactly with their company names (as listed). For example, "&" in the listed company name has been replaced with "and" in the stock's filename. Similarly, a '/' in the company name has been replaced with '(underscore)' in the stock's filename. This was done because kaggle does not allow '&' in the filename and Mac OS did not allow '/' in the filename.

This dataset contains the data from the books in the website https://books.toscrape.com/, which is a public website for webscraping. The columns in this dataset are:

• titulo – Title of the book.

• categoria – Category of the book.

• rating – Rating given to the book.

• precio - Price of the book.

• cantidad_stock – Number of copies available in stock of the book at the time of creation of the dataset.