{
  "format": "dataset-manifest/1",
  "slug": "historical-document-archives",
  "version": 2,
  "seed": "historical-document-archives:1",
  "spec": {
    "format": "dataset/1",
    "slug": "historical-document-archives",
    "name": "Historical Document Insights",
    "tagline": "Preserved historical banking documents, their creators, materials, and significant events spanning multiple eras.",
    "description": "Historians and researchers meticulously catalog historical banking documents, tracking the evolution of financial practices through time. They focus on various elements, including significant eras of banking, the authors who crafted these pivotal documents, the diverse materials that constitute these records, and the key events they encapsulate. This operation not only preserves these important artifacts but also ensures that the narratives behind them are documented for future study. The preservation efforts often lead to a rich dataset, where well-preserved records dominate, while a few damaged pieces reveal the fragility of history and the moments that shaped it.\n\nIn the 'documents' table, each row represents a unique historical banking document, containing fields that detail its title, publication date, and condition. The 'document_eras' table catalogs the different periods within banking history, linking to documents through an era identifier. Each 'document_authors' entry provides information about the creators of these documents, allowing researchers to explore the contributions of various individuals throughout banking history. The 'document_materials' table indicates the formats and materials—like paper type or ink used—of each document, while 'document_events' highlights key occurrences that influenced banking practices, connecting back to specific documents. Lastly, the 'document_highlights' table draws attention to particularly significant features or notes within the documents, providing insights into their relevance.\n\nThe data can answer intriguing questions about trends in banking practices over time, the influence of specific authors on financial systems, and the impact of historical events on documentation. This dataset is an excellent resource for those looking to practice data analysis, historical research, or machine learning in the context of historical document preservation. It is important to note that all information contained within this dataset is synthetic, providing a safe environment to explore and experiment.",
    "domain": "banking",
    "shape": "event-log",
    "useCases": [
      "analytics-demo",
      "etl-pipelines"
    ],
    "keywords": [
      "banking",
      "historical documents",
      "financial history",
      "document preservation",
      "data analysis",
      "synthetic data"
    ],
    "locale": "en",
    "license": "CC0-1.0",
    "version": 1,
    "tables": {
      "documents": {
        "description": "This table contains records of historical banking documents, detailing their characteristics and significance. Each document is linked to its respective era and author.",
        "rows": 200,
        "columns": {
          "id": {
            "kind": "pk",
            "description": "Unique identifier for each document."
          },
          "title": {
            "kind": "words",
            "min": 1,
            "max": 3,
            "description": "Title of the document.",
            "pool": [
              "Report",
              "Analysis",
              "Overview",
              "Summary",
              "Study",
              "Review",
              "Findings",
              "Insights",
              "Assessment",
              "Evaluation",
              "Proposal",
              "Plan",
              "Strategy",
              "Brief",
              "Outline",
              "Framework",
              "Guide",
              "Memo",
              "Bulletin",
              "Record"
            ]
          },
          "document_era_id": {
            "kind": "fk",
            "ref": "document_eras.id",
            "description": "References the era in which the document was created."
          },
          "author_id": {
            "kind": "fk",
            "ref": "document_authors.id",
            "description": "References the author who created the document."
          },
          "format": {
            "kind": "enum",
            "values": [
              "paper",
              "digital",
              "microfilm"
            ],
            "description": "The format in which the document exists.",
            "weights": [
              8,
              2,
              1
            ]
          },
          "condition": {
            "kind": "enum",
            "values": [
              "intact",
              "damaged",
              "restored"
            ],
            "description": "Condition of the document.",
            "weights": [
              6,
              3,
              1
            ]
          }
        }
      },
      "document_eras": {
        "description": "This table catalogs different historical eras relevant to banking, linking each era to the documents created during that time.",
        "rows": 10,
        "columns": {
          "id": {
            "kind": "pk",
            "description": "Unique identifier for each era."
          },
          "era_name": {
            "kind": "words",
            "min": 1,
            "max": 3,
            "description": "Name of the historical era.",
            "pool": [
              "Medieval",
              "Renaissance",
              "Industrial",
              "Modern",
              "Ancient",
              "Victorian",
              "Postmodern",
              "Enlightenment",
              "Colonial",
              "Classical",
              "Contemporary",
              "Baroque",
              "Romantic",
              "Gothic",
              "Prehistoric",
              "Reformation",
              "Golden",
              "Digital",
              "Information",
              "Space"
            ]
          },
          "start_year": {
            "kind": "int",
            "min": 1700,
            "max": 2020,
            "description": "Starting year of the era."
          },
          "end_year": {
            "kind": "int",
            "min": 1700,
            "max": 2020,
            "description": "Ending year of the era."
          }
        }
      },
      "document_authors": {
        "description": "This table lists authors of historical banking documents, providing context about who contributed to banking history.",
        "rows": 50,
        "columns": {
          "id": {
            "kind": "pk",
            "description": "Unique identifier for each author."
          },
          "full_name": {
            "kind": "fullName",
            "description": "Full name of the author."
          },
          "birth_year": {
            "kind": "int",
            "min": 1700,
            "max": 2000,
            "description": "Year the author was born."
          },
          "death_year": {
            "kind": "int",
            "min": 1700,
            "max": 2020,
            "nullable": true,
            "description": "Year the author passed away, if applicable."
          }
        }
      },
      "document_materials": {
        "description": "This table includes information about the materials used in the creation of documents, aiding in understanding their preservation.",
        "rows": 30,
        "columns": {
          "id": {
            "kind": "pk",
            "description": "Unique identifier for the material type."
          },
          "material_type": {
            "kind": "words",
            "min": 1,
            "max": 3,
            "description": "Type of material used for the document.",
            "pool": [
              "Paper",
              "Parchment",
              "Scroll",
              "Vellum",
              "Cardboard",
              "Digital",
              "Microfilm",
              "Leather",
              "Wood",
              "Stone",
              "Ink",
              "Papyrus",
              "Plastic",
              "Metal",
              "Glass",
              "Ceramic",
              "Textile",
              "Canvas",
              "Photograph",
              "Blueprint",
              "Map"
            ]
          },
          "durability_score": {
            "kind": "int",
            "min": 1,
            "max": 10,
            "description": "Score indicating the durability of the material.",
            "distribution": "high"
          }
        }
      },
      "document_events": {
        "description": "This table records significant events related to the documents, such as exhibitions, restorations, or notable discoveries.",
        "rows": 100,
        "columns": {
          "id": {
            "kind": "pk",
            "description": "Unique identifier for each event."
          },
          "document_id": {
            "kind": "fk",
            "ref": "documents.id",
            "description": "References the document related to the event."
          },
          "event_type": {
            "kind": "enum",
            "values": [
              "exhibition",
              "restoration",
              "discovery"
            ],
            "description": "Type of event related to the document.",
            "weights": [
              5,
              3,
              2
            ]
          },
          "event_date": {
            "kind": "date",
            "from": "2000-01-01",
            "to": "2023-12-31",
            "description": "Date when the event occurred.",
            "trend": "seasonal"
          }
        }
      },
      "document_highlights": {
        "description": "This table showcases highlights from specific documents, allowing for a deeper understanding of their content and significance.",
        "rows": 150,
        "columns": {
          "id": {
            "kind": "pk",
            "description": "Unique identifier for each highlight."
          },
          "document_id": {
            "kind": "fk",
            "ref": "documents.id",
            "description": "References the document from which the highlight is taken."
          },
          "highlight_text": {
            "kind": "paragraph",
            "min": 10,
            "max": 200,
            "description": "Text excerpt highlighting significant content from the document."
          },
          "highlighted_date": {
            "kind": "date",
            "from": "1700-01-01",
            "to": "2023-12-31",
            "description": "Date when the highlight was identified.",
            "trend": "seasonal"
          }
        }
      }
    },
    "structure": "multi-table",
    "traits": [
      "high-cardinality",
      "timestamped",
      "categorical"
    ],
    "analysisQuestions": [
      "What trends can be seen in the condition of documents over different eras?",
      "Who are the most prolific authors of historical banking documents?",
      "What materials have proven to be the most durable for preserving documents?",
      "How do significant events impact the awareness and preservation of historical documents?",
      "What formats are most commonly used for preserving historical banking documents?"
    ],
    "suggestedQueries": [
      {
        "title": "Join Documents with Authors",
        "sql": "SELECT d.title, a.full_name FROM documents d JOIN document_authors a ON d.author_id = a.id;",
        "dialect": "postgres"
      },
      {
        "title": "Count Documents by Era",
        "sql": "SELECT e.era_name, COUNT(d.id) AS document_count FROM documents d JOIN document_eras e ON d.document_era_id = e.id GROUP BY e.era_name;",
        "dialect": "postgres"
      },
      {
        "title": "Average Durability of Materials Used",
        "sql": "SELECT m.material_type, AVG(m.durability_score) AS avg_durability FROM documents d JOIN document_materials m ON d.format = m.material_type GROUP BY m.material_type;",
        "dialect": "postgres"
      },
      {
        "title": "Event Impact on Document Awareness",
        "sql": "SELECT e.event_type, COUNT(d.id) AS affected_documents FROM document_events e JOIN documents d ON e.document_id = d.id GROUP BY e.event_type;",
        "dialect": "postgres"
      },
      {
        "title": "Highlights Timeline",
        "sql": "SELECT h.highlighted_date, COUNT(h.id) AS highlight_count FROM document_highlights h GROUP BY h.highlighted_date ORDER BY h.highlighted_date;",
        "dialect": "postgres"
      }
    ],
    "usageScenarios": [
      {
        "title": "Historians and Researchers",
        "body": "Historians and researchers can utilize this dataset to explore the evolution of banking practices through historical documents. By analyzing the relationships between documents, their authors, and the eras they represent, they can gain insights into how financial systems have developed over time."
      },
      {
        "title": "Data Analysts",
        "body": "Data analysts working in financial institutions can leverage this dataset to understand document preservation trends and the impact of significant events on historical records. This analysis can inform strategies for improving document management and preservation efforts."
      },
      {
        "title": "Educators",
        "body": "Educators can use this dataset to teach students about the significance of historical documents in banking. By engaging students with real data, they can illustrate the importance of preserving these records and the stories they tell about our financial heritage."
      },
      {
        "title": "ETL Developers",
        "body": "Developers working on ETL pipelines can utilize this dataset to practice data transformation techniques. By extracting, transforming, and loading this data into analytics platforms, they can develop skills necessary for handling real-world data migration projects."
      }
    ]
  },
  "counts": {
    "document_authors": 50,
    "document_eras": 10,
    "document_materials": 30,
    "documents": 200,
    "document_events": 100,
    "document_highlights": 150
  },
  "stats": {
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      "columns": {
        "id": {
          "nulls": 0,
          "distinct": 200,
          "min": 1,
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        "title": {
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        "document_era_id": {
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          "distinct": 50,
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        "format": {
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        "condition": {
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    "document_eras": {
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