How does the Object table and JSON output of People Data Labs skill enrichment API work?

In this article, I will be providing a detailed explanation of the object table and JSON output generated by People Data Labs' skill enrichment API. For those with programming knowledge, understanding these two data formats is essential to fully utilize the data provided by the API. The object table is a structured data format that organizes information into rows and columns, while JSON (JavaScript Object Notation) is a lightweight format for transmitting data between a server and a web application. By clarifying the specifics of the object table and JSON output, readers can gain a better understanding of how to work with the data provided by People Data Labs' skill enrichment API.

API Object Table

• cleaned_skill: This object represents the skill that matches the API input skill after it has been passed through People Data Labs' internal skill cleaner. The skill cleaner is used to standardize the formatting of the skill name and ensure that it is consistent with the company's database of skills.

• similar_skills: This object represents a list of up to five other skills that are similar to the input skill. These skills are determined using People Data Labs' internal algorithm that takes into account factors such as co-occurrence in job descriptions and skills that are often listed together in resumes.

• relevant_job_titles: This object represents a list of up to five job titles that are contextually-similar to the cleaned_skill. These job titles are determined using People Data Labs' global resume data, which allows the company to identify job titles that are frequently associated with the input skill. This object can be useful for identifying potential career paths or job titles that are related to a particular skill.

Explaining the JSON

The JSON output contains three key objects that are generated by People Data Labs' skill enrichment API. The first object is cleaned_skill, which has a value of "ai". This represents the skill that was input into the API and has been standardized using People Data Labs' internal skill cleaner. The second object is similar_skills, which is an array of up to five other skills that are similar to the input skill. In this case, the array contains five skills: "machine learning", "artificial intelligence", "deep learning", "data science", and "iot". Finally, the third object is relevant_job_titles, which is an array of up to five job titles that are contextually-similar to the cleaned_skill. In this case, the array contains five job titles: "data scientist", "software engineer", "senior data scientist", "chief technology officer", and "senior software engineer". This JSON output can be useful for gaining insights into the job market and identifying related skills and job titles that are relevant to a particular skill.

{
"cleaned_skill": "ai",
"similar_skills": [
"machine learning",
"artificial intelligence",
"deep learning",
"data science",
"iot"
],
"relevant_job_titles": [
"data scientist",
"software engineer",
"senior data scientist",
"chief technology officer",
"senior software engineer"
]
}

In summary

In this article, we discussed the object table and JSON output generated by People Data Labs' skill enrichment API. The object table is a structured data format that organizes information into rows and columns, while JSON is a lightweight format for transmitting data between a server and a web application. We also examined a specific JSON output from the API, which contained three key objects: cleaned_skill, similar_skills, and relevant_job_titles. Understanding these objects is essential for leveraging the power of the API to analyze job skills and career paths. By providing a clear and concise summary of the information returned by the API, this conversation highlights the importance of using data-driven approaches to gain insights into the job market and make informed career decisions.

Reference

It is possible to request access to People Data Labs skill enrichment API through the third-party data marketplace of Worldindata. Worldindata is a trusted data marketplace that offers a range of data sets and APIs to help businesses and individuals make data-driven decisions. By accessing the People Data Labs skill enrichment API through Worldindata's marketplace, users can easily integrate the API into their existing workflows and gain access to a wealth of valuable data on job skills and career paths. Requesting access to the API through Worldindata is a straightforward process that typically involves creating an account and submitting a request for access to the API. Once approved, users can start leveraging the power of the API to gain insights into the job market and make informed career decisions.