Data编程代做、代写Java，c++程序

日期：2023-10-25 10:08

Assignment 1:Web Scraping& DataAnalysis

Oct 07, 2023

In this assignment, you should work with data from http://quotes.toscrape.com/

(Online Quotes)

Quotes to Scrape is a digital haven for those seeking a daily dose of inspiration, wit, and

wisdom. This website is a treasure trove of thought-provoking and memorable quotes from

a wide range of authors, thinkers, and personalities. Whether you're looking for words of

wisdom to brighten your day or seeking quotes to add depth to your writing, Quotes to

Scrape has you covered.

At Quotes to Scrape, you'll find an extensive collection of quotes that cover a multitude of

topics, from love and life to success and motivation. Each quote is accompanied by the

name of the author, allowing you to explore the perspectives of various individuals who

have contributed to the world of literature and philosophy. In this project, we will use the

requests and regular expressions we have learned before to scrape all Quotes from the

provided website.

Task1. You are required to scrape 100 Quotes (all Quotes) from the website and save result

into ‘your_name+id.csv’. This file should contain data with the following columns: (40

marks)

Quotes Content 5 marks

Tags 5 marks

Author 5 marks

Birthday of the author 5 marks

Country of the author 5 marks

Description of the author 5 marks

Quality of the code (10 marks)

You are encouraged to explore data with more properties if needed.

Task2. You are required to do a data analysis on the data. What do you think is interesting

about this data? Tell a story about some interesting thing you have discovered by looking

at the data. (60 marks)

For example, which quotes you might read? Does the type of tags affect quotes you might

read? Who is your favorite author?

Note: This is an open topic project. You are required to provide a novel topic and

demonstrate your hypotheses (view points) with data analysis and figures illustrations.

The reports and running code (web scraping + data analysis) should be submitted using

Jupter Notebook file.

Submission Checklist:

Yes/No Items

Jupyter Notenook code

your_name+id.csv

Marking Guidelines

Marking Criteria

Idea (5 marks) ? Presents a novel idea

? Clearly demonstrate your viewpoints.

? Demonstrates good understanding of

the topic.

Discussion (30 marks) ? Provide convincing arguments to

your viewpoints.

? Backs up arguments with appropriate

data analysis results.

? Visualize data analysis results by

using more than 5 figures.

Organization (20 marks) ? Use of figures to support ideas

discussed in the report.

? The quality of the figures.

? These figures should be informative.

? Use of sub-titles and/or clear topic

sentences.

? Use multiple visualization methods

(line, bar, pie chart, etc, ).

Writing Style (5 marks) ? Concise writing style

? Strong scientific writing without

grammatical errors.