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Popular on RED? Explore the food at Kwai Chung Plaza!

My second assignment was even more excruciating than the first one. But this assignment allowed me to apply my ability to scrape, clean, and arrange data in the real world, and was a painful and joyful process. You can visit my page by clicking here. OpenRice was the first local software I used when I…
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Assignment2: What’s for dinner in Tsim Sha Tsui

When conducting this assignment, I put myself in the shoes of a tourist with a budget under $200 looking for restaurants with a relatively good reputation in Tsim Sha Tsui, the most prosperous area in Hong Kong. When scraping the data on Parsehub, at first, I only collected the number of comments, likes, and dislikes,…
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Analysis of restaurants in Yuen Long District

Hello! Welcome to read my analysis report. In this report, Yuen Long District is chosen as the study area. First, through ParseHub, the information on 1040 restaurants in Yuen Long District in Openrice is collected. Then, I use Python to preprocess the data. There are 840 valid data after removing duplicate and null values. Besides,…
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Sichuan Cuisine in HK Island

In this assignment, ParseHub was used to help get the data from openrice website. According to my food preference, I chose to scrape the information about Suichuan cuisine restaurant from Hong Kong Island, including restaurant name, address, price range, number of likes, number of dislikes, discounts, and signature dishes, about 13 pages and 204 rows….
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BTA#2| OpenRice Tsuen Wan – Applying “Likes Rate” to Restaurant-selection

Personally, I take OpenRice as a reference to go to when I’m trying to find somewhere to eat, especially in a rather unfamiliar area for me. Instead of simply looking at the numbers shown on the page, I decided to apply a new criteria to help with making wiser decisions.