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Update space missions database: 25,137 missions
Browse files- README.md +11 -33
- data/space-missions.parquet +2 -2
README.md
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@@ -35,11 +35,10 @@ Comprehensive database of **25,137** space missions — both crewed and uncrewed
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## Dataset description
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Records span from **1960-12-01** to **http://www**, with **662** missions having a known launch date and **1** confirmed crewed missions.
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## Schema
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|--------|------|-------------|
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| `wikidata_id` | string | Wikidata entity ID (e.g. Q183294) |
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| `name` | string | Mission name |
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| `destination` | string | Mission destination (e.g. Moon, Mars, ISS) |
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| `launch_site` | string | Launch site name |
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| `vehicle` | string | Launch vehicle |
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| `crew_count` | int | Number of crew members (null for uncrewed) |
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| `duration_days` | float | Mission duration in days (derived from Wikidata minutes) |
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| `outcome` | string | Mission outcome (e.g. successful, partial failure) |
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| `launch_year` | int | Launch year (derived from launch_date) |
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## Quick stats
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- **25,137** total missions in the database
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- **1** confirmed crewed missions
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- **19** distinct destinations
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- Date range: 1960-12-01 to http://www
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- Top operators: National Aeronautics and Space Administration (205), Alaska Department of Transportation & Public Facilities (149), Airports Authority of India (108), Soviet space program (93), Roscosmos State Corporation (88)
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## Usage
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df = ds.to_pandas()
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# Missions by operator
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# Crewed missions only
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crewed = df[df["crew_count"].notna() & (df["crew_count"] > 0)]
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print(f"{len(crewed):,} crewed missions")
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# Missions by destination
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print(df["destination"].value_counts().head(10))
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# Missions by year
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print(df["launch_year"].value_counts().sort_index())
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#
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print(top_duration)
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```
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## Data source
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## Dataset description
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This dataset draws on Wikidata's structured knowledge base using three entity types: space missions (Q2133344), crewed spaceflights (Q1248784), and uncrewed spaceflights (Q12795915). It is maintained by the WikiProject Spaceflight community and updated as new missions are flown and documented.
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> **Note:** Wikidata coverage is uneven — most entries have only a name and Wikidata ID.
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> Columns with <5% data coverage are automatically dropped during pipeline processing.
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## Schema
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|--------|------|-------------|
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| `wikidata_id` | string | Wikidata entity ID (e.g. Q183294) |
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| `name` | string | Mission name |
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| `operator` | string | Operating agency or organization (~13% coverage) |
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Additional columns (launch_date, destination, etc.) appear when Wikidata coverage exceeds 5%.
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## Quick stats
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- **25,137** total missions in the database
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- Top operators: National Aeronautics and Space Administration (202), Alaska Department of Transportation & Public Facilities (149), Airports Authority of India (109), Soviet space program (93), Roscosmos State Corporation (85)
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## Usage
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df = ds.to_pandas()
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# Missions by operator
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if "operator" in df.columns:
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print(df["operator"].value_counts().head(10))
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# List all missions
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print(df[["name", "wikidata_id"]].head(20))
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```
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## Data source
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data/space-missions.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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size 427222
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