{
  "format": "dataset-manifest/1",
  "slug": "augmented-reality-art-projects",
  "version": 1,
  "seed": "augmented-reality-art-projects:1",
  "spec": {
    "format": "dataset/1",
    "slug": "augmented-reality-art-projects",
    "name": "Augmented Art Engagement",
    "tagline": "Artworks, ratings, galleries, sponsors, and categories from augmented reality art projects and exhibitions.",
    "description": "Artists create immersive augmented reality experiences, transforming public art into vibrant, interactive displays that captivate communities. These innovative exhibitions combine digital artworks with a physical environment, enhancing public spaces and fostering community engagement. A multitude of artworks is produced, each linked to various galleries that house them and sponsors who support the projects financially. Viewers participate actively by rating their experiences, contributing valuable feedback that influences future installations. \n\nThe tables present a robust relational model: the 'artworks' table contains details about each piece, such as its title and artist. Each artwork is associated with the 'ratings' table, where viewers provide feedback on their experience, allowing for the analysis of viewer engagement and satisfaction. The 'galleries' table lists the venues where these artworks are displayed, providing context for the exhibition. 'Sponsors' are linked to both artworks and galleries, showcasing the financial and promotional support necessary for these initiatives. Finally, the 'categories' table categorizes artworks based on themes and styles, enabling deeper insights into artistic trends and community preferences.\n\nThis dataset allows developers to explore questions related to viewer engagement metrics, such as how ratings correlate with different categories or the impact of gallery locations on artwork popularity. Practicing with this data can help in understanding audience engagement strategies, sponsorship effectiveness, and the overall success of augmented reality art projects. Note that the information contained within these tables is synthetic, designed to simulate real-world scenarios for development and practice.",
    "domain": "government",
    "shape": "transactional",
    "useCases": [
      "sql-practice",
      "orm-seeding"
    ],
    "keywords": [
      "augmented reality",
      "art projects",
      "community engagement",
      "galleries",
      "sponsors",
      "ratings"
    ],
    "locale": "en",
    "license": "CC0-1.0",
    "version": 1,
    "tables": {
      "artworks": {
        "description": "Each row represents a digital artwork in an augmented reality exhibition, linking to categories and galleries.",
        "rows": 200,
        "columns": {
          "id": {
            "kind": "pk",
            "description": "Unique identifier for each artwork."
          },
          "title": {
            "kind": "words",
            "max": 10,
            "description": "Title of the artwork."
          },
          "description": {
            "kind": "paragraph",
            "max": 500,
            "description": "Detailed description of the artwork."
          },
          "audio_track": {
            "kind": "url",
            "description": "Link to the audio track associated with the artwork."
          },
          "gallery_id": {
            "kind": "fk",
            "ref": "galleries.id",
            "description": "Reference to the gallery hosting the artwork."
          },
          "category_id": {
            "kind": "fk",
            "ref": "categories.id",
            "description": "Reference to the category the artwork belongs to."
          }
        }
      },
      "ratings": {
        "description": "Each row captures a viewer's rating of an artwork, linking back to the artworks table.",
        "rows": {
          "per": "artworks",
          "via": "artwork_id",
          "min": 1,
          "max": 10,
          "skew": "long-tail"
        },
        "columns": {
          "id": {
            "kind": "pk",
            "description": "Unique identifier for each rating entry."
          },
          "artwork_id": {
            "kind": "fk",
            "ref": "artworks.id",
            "description": "Reference to the rated artwork."
          },
          "rating": {
            "kind": "int",
            "min": 1,
            "max": 5,
            "description": "Rating score given by the viewer."
          },
          "comment": {
            "kind": "sentence",
            "max": 200,
            "nullable": true,
            "description": "Viewer's comment on the artwork."
          }
        }
      },
      "galleries": {
        "description": "This table contains information about galleries that host augmented reality exhibitions.",
        "rows": 50,
        "columns": {
          "id": {
            "kind": "pk",
            "description": "Unique identifier for each gallery."
          },
          "name": {
            "kind": "fullName",
            "description": "Name of the gallery."
          },
          "location": {
            "kind": "city",
            "description": "City where the gallery is located."
          },
          "contact_email": {
            "kind": "email",
            "from": "name",
            "description": "Email address for contacting the gallery."
          }
        }
      },
      "sponsors": {
        "description": "This table lists sponsors supporting the augmented reality art projects and their contributions.",
        "rows": 30,
        "columns": {
          "id": {
            "kind": "pk",
            "description": "Unique identifier for each sponsor."
          },
          "name": {
            "kind": "fullName",
            "description": "Name of the sponsoring organization."
          },
          "website": {
            "kind": "url",
            "description": "Website URL of the sponsor."
          },
          "contribution": {
            "kind": "decimal",
            "min": 1000,
            "max": 50000,
            "description": "Financial contribution made by the sponsor."
          }
        }
      },
      "categories": {
        "description": "Categories classify artworks by style and theme, allowing for better organization and searchability.",
        "rows": 20,
        "columns": {
          "id": {
            "kind": "pk",
            "description": "Unique identifier for each category."
          },
          "name": {
            "kind": "sentence",
            "description": "Name of the category."
          },
          "description": {
            "kind": "paragraph",
            "max": 250,
            "nullable": true,
            "description": "Description of the category."
          }
        }
      }
    },
    "structure": "multi-table",
    "traits": [
      "categorical",
      "high-cardinality",
      "nullable"
    ],
    "analysisQuestions": [
      "What is the average rating of artworks in each category?",
      "Which galleries host the most exhibitions, and how are they rated?",
      "How do sponsorship levels correlate with viewer ratings?",
      "What themes or styles are most popular among viewers?",
      "Which artworks received the most viewer comments, and what do they say?"
    ],
    "suggestedQueries": [
      {
        "title": "Join artworks and ratings",
        "sql": "SELECT artworks.title, ratings.rating FROM artworks JOIN ratings ON artworks.id = ratings.artwork_id;",
        "dialect": "postgres"
      },
      {
        "title": "Average ratings by category",
        "sql": "SELECT categories.name, AVG(ratings.rating) FROM ratings JOIN artworks ON ratings.artwork_id = artworks.id JOIN categories ON artworks.category_id = categories.id GROUP BY categories.name;",
        "dialect": "postgres"
      },
      {
        "title": "Gallery exhibition count and average rating",
        "sql": "SELECT galleries.name, COUNT(artworks.id) AS exhibition_count, AVG(ratings.rating) AS average_rating FROM galleries JOIN artworks ON galleries.id = artworks.gallery_id LEFT JOIN ratings ON artworks.id = ratings.artwork_id GROUP BY galleries.name;",
        "dialect": "postgres"
      },
      {
        "title": "Top sponsors by total contributions",
        "sql": "SELECT sponsors.name, SUM(sponsors.contribution) AS total_contribution FROM sponsors GROUP BY sponsors.name ORDER BY total_contribution DESC;",
        "dialect": "postgres"
      },
      {
        "title": "Viewer comments for highly rated artworks",
        "sql": "SELECT artworks.title, ratings.comment FROM artworks JOIN ratings ON artworks.id = ratings.artwork_id WHERE ratings.rating = 5;",
        "dialect": "postgres"
      }
    ],
    "usageScenarios": [
      {
        "title": "Art Exhibition Planners",
        "body": "Art exhibition planners can utilize this dataset to analyze viewer engagement with different artworks and categories. This information can guide their decisions on future exhibitions, helping them to curate pieces that resonate most with audiences."
      },
      {
        "title": "Gallery Managers",
        "body": "Gallery managers can leverage the data to assess the performance of their exhibitions. By understanding which artworks receive higher ratings and viewer comments, they can identify successful themes and styles to incorporate into upcoming shows."
      },
      {
        "title": "Sponsorship Coordinators",
        "body": "Sponsorship coordinators can review the contributions and engagement of sponsors in relation to the exhibitions they support. This analysis can help build stronger partnerships and align sponsorship strategies with community interests."
      },
      {
        "title": "Researchers in Public Art Engagement",
        "body": "Researchers studying public art engagement can use this dataset to explore the impact of augmented reality art projects on community involvement and engagement. They can analyze trends and patterns in viewer ratings and feedback across various demographics."
      }
    ]
  },
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    "categories": 20,
    "galleries": 50,
    "artworks": 200,
    "ratings": 792,
    "sponsors": 30
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