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Salary by Job Title and Country Dataset

✓ Published1🌍 Public
Sste.jendritz@gmail.com
Last edited Sep 12, 2024
Created on Sep 7, 2024

This example visualizes the first record of a salary dataset from Kaggle, displaying a single employee's attributes—age, gender, education level, job title, experience, salary, country, race, and seniority—as a JSON object in a large monospaced `<pre>` block. The code loads the CSV file with a default import from `./data.csv`, converts numeric fields using unary `+` operators, and then uses `JSON.stringify` to format the data for display. The visualization relies entirely on DOM manipulation through `container.innerHTML`, with no additional charting libraries.

AI-generated description

Salary by Job Title and Country, loaded and parsed as CSV.

This dataset provides a comprehensive collection of salary information from various industries and regions across the globe. Sourced from reputable employment websites and surveys, it includes details on job titles, salaries, job sectors, geographic locations, and more. Analyze this data to gain insights into job market trends, compare compensation across different professions, and make informed decisions about your career or hiring strategies. The dataset is cleaned and preprocessed for ease of analysis and is available under an open license for research and data analysis purposes.

Education Level: 0 : High School 1 : Bachelor Degree 2 : Master Degree 3 : Phd

Currency : US Dollar

Senior : It shows that is this employee has a senior position or no.(Binary)

  • I want to understand the geographical distribution of job titles.
  • I want to understand the geographic distibution of salaries.
  • I want to see correlation between job title and race.
  • I want to see correlation between job title and gender.
  • I want to see correlation between salary, job title, and gender.
MIT Licensed

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