jomarie04/Philippine_Job_Listings_Dataset

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license: mit task_categories: - text-classification - data-analysis language: - en - tl pretty_name: Philippine Job Listings Dataset size_categories: - 1K<n<10K

💼 Philippine Job Listings Dataset

Dataset Description

The Philippine Job Listings Dataset contains structured information about job postings in the Philippines.
It includes job titles, categories, locations, salary ranges, and required experience.

This dataset is useful for machine learning, analytics, and labor market research.

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📌 Dataset Details

File Format: CSV
File Name: ph_job_listings.csv
Total Columns: 7

Column Information

Column Name	Description
job_title	Title of the job position
company	Name of the hiring company
location	City or province of the job
category	Industry or job category
salary_range	Estimated salary offer
experience_required	Years of experience needed
job_type	Full-time, Part-time, Remote

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📊 Sample Data

job_title	company	location	category	salary_range	experience_required	job_type
Software Developer	ABC Tech	Manila	IT	30,000-50,000	2	Full-time
Call Center Agent	XYZ BPO	Cebu	BPO	18,000-22,000	0	Full-time
Graphic Designer	Creative Studio	Davao	Design	20,000-30,000	1	Remote
Teacher	Bright Future School	Quezon City	Education	15,000-20,000	1	Full-time
Sales Associate	MegaMall Store	Pasay	Retail	14,000-16,000	0	Part-time

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🎯 Possible Use Cases

This dataset can be used for:

• Job salary prediction
• Text classification of job categories
• Trend analysis in Philippine labor market
• Building job recommendation systems
• Training NLP models for Filipino job-related text

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🛠 How to Use

Example usage with Python:

import pandas as pd

df = pd.read_csv("ph_job_listings.csv")
print(df.describe())