{
  "format": "dataset-manifest/1",
  "slug": "human-resources-insights",
  "version": 2,
  "seed": "human-resources-insights:1",
  "spec": {
    "format": "dataset/1",
    "slug": "human-resources-insights",
    "name": "Human Resources Insights",
    "tagline": "Leads, employee skills, project tasks, and financial records from human resources management.",
    "description": "Recruitment teams generate leads and manage candidates with a focus on optimizing workforce efficacy. In the realm of human resources, businesses grapple with various elements that contribute to operational success. This dataset illustrates a system that tracks leads generated for recruitment, HR service products, user interactions, and categorizations that define employee skills and job roles. It captures the flow of time and resources through tasks and projects, along with financial aspects such as invoices tied to employee assignments.\n\nThe hr_insights table serves as the core of this dataset, recording vital information about recruitment leads, including their sources, statuses, and associated employee details. Each row in the table represents a distinct lead, encompassing data on the candidate’s qualifications, interactions with HR services, and the financial implications of hiring. By analyzing this table, users can identify recruitment trends, determine the effectiveness of various lead sources, and assess the financial impacts of hiring decisions.\n\nThe relationships within the data allow users to explore multiple facets of HR operations. For instance, joining employee data with lead sources enables an understanding of which recruitment channels yield the highest-quality hires. Additionally, insights into project assignments and time tracking facilitate analysis of resource allocation and productivity. Users can answer questions such as which skills are most sought after, how lead quality varies across different recruitment campaigns, and what financial metrics correlate with successful hires.\n\nThis data is synthetic, generated to provide a realistic yet manageable scenario for developers looking to practice their data analysis skills. It is ideal for those aiming to explore HR analytics, recruitment strategies, and employee performance metrics.",
    "domain": "hr",
    "shape": "star-schema",
    "useCases": [
      "bi-dashboards",
      "analytics-demo"
    ],
    "keywords": [
      "hr",
      "recruitment",
      "employee skills",
      "tasks",
      "projects",
      "invoices",
      "data analysis"
    ],
    "locale": "en",
    "license": "CC0-1.0",
    "version": 1,
    "tables": {
      "hr_insights": {
        "description": "This table represents a comprehensive view of human resources insights, linking recruitment leads, employee skills, tasks, and financial data. Each row corresponds to a unique HR operation, with various attributes detailing aspects such as lead sources, skill categories, and task completion.",
        "rows": 500,
        "columns": {
          "id": {
            "kind": "pk",
            "description": "Unique identifier for each HR insight entry."
          },
          "lead_source": {
            "kind": "enum",
            "values": [
              "Referral",
              "Job Board",
              "Social Media",
              "Company Website"
            ],
            "description": "The source from which the recruitment lead was generated.",
            "weights": [
              6,
              2,
              1,
              1
            ]
          },
          "employee_skills": {
            "kind": "words",
            "min": 1,
            "max": 3,
            "description": "A list of skills possessed by the employee, indicating their areas of expertise.",
            "pool": [
              "communication",
              "leadership",
              "teamwork",
              "problem-solving",
              "adaptability",
              "creativity",
              "time-management",
              "analysis",
              "negotiation",
              "project-management",
              "critical-thinking",
              "collaboration",
              "decision-making",
              "empathy",
              "organization",
              "technical",
              "presentation",
              "research",
              "customer-service",
              "data-analysis",
              "strategic-thinking",
              "conflict-resolution",
              "initiative",
              "interpersonal",
              "flexibility",
              "networking",
              "motivation",
              "mentoring",
              "sales",
              "marketing",
              "planning",
              "scheduling",
              "writing",
              "programming",
              "design",
              "public-speaking",
              "coaching",
              "training",
              "analytics",
              "innovation",
              "detail-oriented",
              "resourcefulness",
              "multitasking",
              "performance",
              "lead-generation",
              "business-development",
              "relationship-building",
              "forecasting",
              "budgeting",
              "quality-assurance",
              "sourcing",
              "recruitment",
              "onboarding",
              "employee-engagement",
              "workplace-culture"
            ]
          },
          "task_completion_date": {
            "kind": "date",
            "from": "2023-01-01",
            "to": "2024-12-31",
            "description": "The date when the task was completed.",
            "trend": "growing"
          },
          "project_category": {
            "kind": "enum",
            "values": [
              "Onboarding",
              "Training",
              "Performance Review",
              "Employee Engagement"
            ],
            "description": "The category of the project associated with the HR operation.",
            "weights": [
              5,
              3,
              2,
              1
            ]
          },
          "invoice_amount": {
            "kind": "decimal",
            "min": 100,
            "max": 10000,
            "scale": 2,
            "description": "The amount billed for HR services rendered, in the local currency.",
            "distribution": "long-tail"
          },
          "user_interaction": {
            "kind": "enum",
            "values": [
              "View",
              "Edit",
              "Delete",
              "Create"
            ],
            "description": "The type of user interaction recorded within the HR system.",
            "weights": [
              7,
              2,
              1,
              1
            ]
          }
        }
      }
    },
    "structure": "single-table",
    "traits": [
      "categorical",
      "monetary",
      "timestamped"
    ],
    "analysisQuestions": [
      "What lead sources generate the highest quality candidates?",
      "How do employee skills vary across different project categories?",
      "What is the average invoice amount for HR services?",
      "Which tasks have the highest completion rates and why?",
      "How do user interactions correlate with project success?"
    ],
    "suggestedQueries": [
      {
        "title": "List all recruitment leads by source",
        "sql": "SELECT lead_source, COUNT(*) FROM hr_insights GROUP BY lead_source;",
        "dialect": "postgres"
      },
      {
        "title": "Average invoice amount by project category",
        "sql": "SELECT project_category, AVG(invoice_amount) FROM hr_insights GROUP BY project_category;",
        "dialect": "postgres"
      },
      {
        "title": "Count of tasks completed in the year 2023",
        "sql": "SELECT COUNT(*) FROM hr_insights WHERE task_completion_date BETWEEN '2023-01-01' AND '2023-12-31';",
        "dialect": "postgres"
      },
      {
        "title": "Skills associated with user interactions",
        "sql": "SELECT user_interaction, ARRAY_AGG(DISTINCT employee_skills) FROM hr_insights GROUP BY user_interaction;",
        "dialect": "postgres"
      }
    ],
    "usageScenarios": [
      {
        "title": "HR Analysts",
        "body": "HR analysts can use this dataset to create dashboards that visualize recruitment trends, allowing them to identify effective lead sources and optimize hiring strategies. By analyzing the data, they can make informed decisions to improve the recruitment process."
      },
      {
        "title": "Training and Development Managers",
        "body": "Training managers can leverage this dataset to assess the skills of employees and identify gaps in training programs. By understanding which skills are prevalent and which are lacking, they can tailor training initiatives to enhance employee performance."
      },
      {
        "title": "Finance Teams",
        "body": "Finance professionals can analyze the invoice amounts associated with HR services to manage budgets and forecast expenses. This data can help them identify spending trends and areas where cost savings could be achieved."
      },
      {
        "title": "Project Managers",
        "body": "Project managers can utilize the task completion data to evaluate project efficiency and team performance. By tracking completion rates and the types of tasks being completed, they can make strategic adjustments to improve project outcomes."
      }
    ]
  },
  "counts": {
    "hr_insights": 500
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  "stats": {
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          "max": "Social Media"
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        "employee_skills": {
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          "distinct": 378
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        "task_completion_date": {
          "nulls": 0,
          "distinct": 362,
          "min": "2023-01-02",
          "max": "2024-12-31"
        },
        "project_category": {
          "nulls": 0,
          "distinct": 4,
          "min": "Employee Engagement",
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        "invoice_amount": {
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        "user_interaction": {
          "nulls": 0,
          "distinct": 4,
          "min": "Create",
          "max": "View"
        }
      }
    }
  },
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