{
  "id": "lib-process:scientific-discovery--exploratory-data-analysis",
  "_kind": "LibraryProcess",
  "_file": "generated-library/processes.yaml",
  "_cluster": "generated-library",
  "attributes": {
    "displayName": "exploratory-data-analysis",
    "description": "Apply statistical and visualization techniques to discover patterns - Guides analysts through\nsystematic exploratory data analysis (EDA) to understand data structure, discover patterns, and generate hypotheses.",
    "libraryPath": "library/specializations/domains/science/scientific-discovery/exploratory-data-analysis.js",
    "specialization": "scientific-discovery",
    "references": [
      "- Tukey, J.W. (1977). Exploratory Data Analysis\n- Wickham, H. & Grolemund, G. (2017). R for Data Science\n- Cleveland, W.S. (1993). Visualizing Data"
    ],
    "example": "const result = await orchestrate('domains/science/scientific-discovery/exploratory-data-analysis', {\n  dataset: { path: './data/sales.csv', rows: 10000, columns: 25 },\n  variables: ['revenue', 'customers', 'region', 'date'],\n  researchQuestions: ['What drives revenue growth?', 'Are there seasonal patterns?']\n});",
    "usesAgents": [
      "statistical-test-selector",
      "hypothesis-generator"
    ]
  },
  "outgoingEdges": [
    {
      "from": "lib-process:scientific-discovery--exploratory-data-analysis",
      "to": "skill-area:data-analysis",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:scientific-discovery--exploratory-data-analysis",
      "to": "skill-area:statistical-analysis",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:scientific-discovery--exploratory-data-analysis",
      "to": "skill-area:deep-web-research",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 0.5
      }
    },
    {
      "from": "lib-process:scientific-discovery--exploratory-data-analysis",
      "to": "domain:scientific-discovery",
      "kind": "lib_applies_to_domain",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:scientific-discovery--exploratory-data-analysis",
      "to": "role:research-engineer",
      "kind": "lib_involves_role",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:scientific-discovery--exploratory-data-analysis",
      "to": "role:computational-scientist",
      "kind": "lib_involves_role",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:scientific-discovery--exploratory-data-analysis",
      "to": "workflow:experiment-design",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:scientific-discovery--exploratory-data-analysis",
      "to": "workflow:peer-review-cycle",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:scientific-discovery--exploratory-data-analysis",
      "to": "specialization:scientific-research-methods",
      "kind": "lib_belongs_to_specialization",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:scientific-discovery--exploratory-data-analysis",
      "to": "specialization:scientific-discovery",
      "kind": "lib_belongs_to_specialization",
      "attributes": {
        "weight": 0.9
      }
    }
  ],
  "incomingEdges": []
}