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Web scrapping and data analysis on HK Data Science Jobs

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Welcome to the dataset and the jupyter notebook for Hong Kong JobsDB job posting analysis

This dataset and notebook can be also found on Kaggle dataset exploratory data anaylsis

Since we are here, we could agree that data science is a cool profession.

When "Data Science is the sexist job of the 21 century" by Harvard Business Review took a storm on the internet on 2012, Hong Kong was still starting out on the big data trend. So, 10 years has past, what is the status quo of the data industry? To gain insights to answer this question, I have scrapped job postings from one of popular job posting platform in Hong Kong and perform some data analysis.

License

CCBYNC4

Dependency

Download and install ChromDriver ChromeDriver

python libraries:

selenium
pandas matplotlib scipy seaborn
geopy geopandas folium

the Dataset

A python script was written here to scrape job postings under "Information Technology\Data Scientist" category. The script was implemented in a way that for each job posting was read, an observation ( row of data) is added to the csv file. Preliminary data cleaning was incoporated to the script to make the dataset easier for downstream processing.

column null placeholder non-null example
title (not applicable) Data Analyst - Top ranked Virtual Bank
salary "salary" HK$35,000 - HK$55,000 /month
company "company" CGP
posted (not applicable) 2022-11-18
District "district" Shatin district
job description (not applicable) Job Description: Research, collate, obtain and analyze data ...
Career level empty Entry Level
Years of Experience empty N/A
Company Website empty www.companyname.com
Qualification empty Degree
Job Type empty Full Time, Permanent
Job Functions empty Banking / Finance, Others, Information Technology (IT), Others, Data Scientist
url empty https://hk.jobsdb.com/hk/en/job/data-analyst-data-governance-...

Key Findings of the Analysis

can be found inside the \analysis\data-scientist-job-postings-in-hong-kong-eda.ipynb

job position

Career level, yoe and education

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