[모각코] 2회차 계획(2024-01-14)

Homework 1: Web Scraping, Data Analytics, and Visualization

 

Objective:

Introduce students to web scraping, data analytics, and statistical visualization techniques.

 

Task:

Web Scraping (Part 1):

• Choose a website with publicly accessible data that includes a numerical target variable. Suggested websites: Indeed, Etsy.
• Use a programming language of choice (consider Python with libraries like BeautifulSoup and Selenium) to write a simple web scraper to extract specific information related to the target variable from the chosen website.
• Focus on fundamentals such as making HTTP requests, parsing HTML, and extracting relevant data.

 

Data Analytics and Visualization (Part 2):

• Obtain a small dataset by collecting data using the web scraper from Part 1. The dataset should include the numerical target variable.
• Use a tool like Pandas for data manipulation and analysis.
• Apply basic statistical measures (mean, median, standard deviation) to understand the distribution of the target variable.
• Formulate business intelligence-related questions based on the dataset. Examples:
• Create visualizations using Matplotlib or other preferred visualization tools to answer the formulated questions. Visualizations could include:

 

Submission Guidelines:

• Submit the web scraping code along with comments explaining each step.
• Provide the obtained dataset in a structured format (e.g., CSV).
• Present the data analytics and visualization code with comments for clarity.

Submit a report that includes:

• A brief introduction to the chosen website and the target variable.
• Business intelligence questions formulated based on the dataset.
• Interpretation of the statistical measures and visualizations.
• Any insights or observations gained from the analysis.
• This combined homework aims to give you hands-on experience with web scraping, data analytics, statistics, and business intelligence concepts.