Sumedchakma/jobs_record

---
language:
- en
license: mit
tags:
- jobs
- data-analysis
- job-market
- tabular
size_categories:
- 100K<n<1M
---

# Jobs Record Dataset

## 📌 Overview
The Jobs Record Dataset contains job posting data collected for data analysis and machine learning practice.
This dataset includes information such as job titles, locations, employment type, and other job-related attributes.

This dataset is re-uploaded for educational and portfolio purposes.

---

## 📊 Dataset Information

- Format: CSV
- Size: ~231 MB
- License: Apache-2.0
- Rows: ~785,000+
- Type: Tabular dataset

---

## 🧾 Features (Columns)

The dataset includes job-related attributes such as:

- job_title_short
- job_title
- job_location
- job_via
- job_schedule_type
- job_work_from_home
- salary-related fields (if available)
- other job metadata fields

These features can be used for:

- Salary analysis
- Job market trend analysis
- Data cleaning practice
- Feature engineering
- Machine learning model training

---

## 🎯 Possible Use Cases

- Exploratory Data Analysis (EDA)
- Data Visualization projects
- Salary prediction models
- Job classification models
- Dashboard development (Power BI / Tableau)
- NLP tasks on job descriptions

---

## 🚀 How to Load in Python

```python
from datasets import load_dataset

dataset = load_dataset("Sumedchakma/jobs_record")
df = dataset["train"].to_pandas()

print(df.head())