Write a Python script to scrape this website: https://en.wikipedia.org/wiki/List of countries by carbon dioxide emissions per capita Scrape the "Production-based emissions: annual carbon dioxide emissions in metric tons per capita" for the data. Use the functionality of Beautifulsoup to scrape the data. Scrape the columns: "Country Name","1980","2018". Store the scraped data in a defaultdict. Convert your script from part1 into a Python Class. The Web scraping class encapsulates all the webscraping functions in the WebscrapingV3.py example file, except for the File and Image scraping functions.

Write a Python script to scrape this website: https://en.wikipedia.org/wiki/List of countries by carbon dioxide emissions per capita Scrape the "Production-based emissions: annual carbon dioxide emissions in metric tons per capita" for the data. Use the functionality of Beautifulsoup to scrape the data. Scrape the columns: "Country Name","1980","2018". Store the scraped data in a defaultdict. Convert your script from part1 into a Python Class. The Web scraping class encapsulates all the webscraping functions in the WebscrapingV3.py example file, except for the File and Image scraping functions.

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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 <!DOCTYPE html> <html lang="en"> <head> <metacharset="utf-8" /> </head> <body> <divid="root">TODO: generate table</div> </body> <script> vardata=[ { Username: "booker12", Identifier: "9012", "First Name": "Rachel", "Last Name": "Booker", }, { Username: "grey07", Identifier: "2070",…
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