Data Job Analysis
Nazmul Islam Rakin
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Posted Oct 12, 2024
This project used Streamlit to deploy an interactive web application after analyzing a 2023 job dataset using Python libraries like Pandas, Seaborn, and Plotly.
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Demo:
In this project, I analyzed a job dataset from 2023 using Python and several powerful data analysis and visualization libraries, including Pandas, Matplotlib, Seaborn, Altair, and Plotly. The goal was to uncover key insights into the job market and present them in an interactive format. I have also deployed it on the web using Streamlit.
Key analysis:
Job Title Trends: Identified the most popular job titles over time.
Monthly Hiring Trends: Tracked the fluctuations in hiring activity throughout the year.
Salary Trends: Explored salary distributions across different roles, locations.
Top Countries and Companies: Highlighted the leading countries and companies in terms of job availability.
Job Mediums: Analyzed the most common platforms or mediums used for job postings.
Technology used :
Python
Pandas
Matplotlib
Seaborn
Plotly
Altair
Streamlit