Update launch vehicles database: 210 vehicles

README.md

@@ -42,16 +42,12 @@ defined humanity's access to space. This dataset covers every orbital and suborb
 vehicle recorded in Wikidata, including historical rockets, active workhorses, and vehicles
 under development.
 
-Each entry includes physical dimensions (height, diameter, liftoff mass), payload capacity
-to low Earth orbit (LEO) and geostationary transfer orbit (GTO), first and last flight dates,
-number of stages, operational status, manufacturer, and country of origin.
-
-This enables analysis of global launch capability, rocket engineering evolution over decades,
-national space programme comparisons, and payload capacity trends across generations of vehicles.
-
 Sourced from Wikidata's structured knowledge base (class Q697175: space launch vehicle),
 maintained by the WikiProject Spaceflight community.
 
+> **Note:** Wikidata coverage varies — some vehicles lack physical specs or payload data.
+> Columns with <5% data coverage are automatically dropped during pipeline processing.
+
 ## Schema
 
 | Column | Type | Description |
@@ -61,21 +57,16 @@ maintained by the WikiProject Spaceflight community.
 | `manufacturer` | string | Manufacturer organisation |
 | `country` | string | Country of origin |
 | `height_m` | float | Total height (metres) |
-| `diameter_m` | float | Core diameter (metres) |
-| `mass_kg` | float | Liftoff mass (kg) |
 | `payload_leo_kg` | float | Payload capacity to LEO (kg) |
-| `payload_gto_kg` | float | Payload capacity to GTO (kg) |
-| `first_flight` | string | Date of first flight (YYYY-MM-DD) |
-| `last_flight` | string | Date of last flight if retired (YYYY-MM-DD) |
-| `num_stages` | int | Number of stages |
-| `status` | string | Operational status (active/retired/in development) |
+
+Additional columns (diameter, mass, first_flight, etc.) appear when Wikidata coverage exceeds 5%.
 
 ## Quick stats
 
 - **210** launch vehicles from **11** countries
 - **0** active, **0** retired
 - Tallest vehicle: Long March 10 (90.0 m)
-- Heaviest LEO payload: Delta IV Heavy (13,810 kg)
+- Heaviest LEO payload: Delta IV Heavy (28,370 kg)
 - Top countries: United States (99), Soviet Union (14), United Kingdom (6), Russia (5), People's Republic of China (2)
 
 ## Usage
@@ -86,26 +77,13 @@ from datasets import load_dataset
 ds = load_dataset("juliensimon/launch-vehicles", split="train")
 df = ds.to_pandas()
 
-# Active vehicles by country
-active = df[df["status"].str.lower() == "active"]
-print(active["country"].value_counts().head(10))
-
-# Heaviest LEO payload capacity
-top_leo = df.nlargest(10, "payload_leo_kg")[["name", "country", "payload_leo_kg"]]
-print(top_leo)
-
-# Vehicles by first flight decade
-df["decade"] = (df["first_flight"].str[:4].astype(float) // 10 * 10).astype("Int64")
-print(df["decade"].value_counts().sort_index())
-
-# Height vs payload correlation
-import matplotlib.pyplot as plt
-subset = df.dropna(subset=["height_m", "payload_leo_kg"])
-plt.scatter(subset["height_m"], subset["payload_leo_kg"])
-plt.xlabel("Height (m)")
-plt.ylabel("LEO Payload (kg)")
-plt.title("Rocket Height vs Payload Capacity")
-plt.show()
+# List all vehicles by country
+print(df[["name", "country", "manufacturer"]].head(20))
+
+# Vehicles with known height
+if "height_m" in df.columns:
+    tall = df.dropna(subset=["height_m"]).nlargest(10, "height_m")
+    print(tall[["name", "country", "height_m"]])
 ```
 
 ## Data source

data/launch-vehicles.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2fe99ada1d93e418fab3192cc631d773fd6e3f5bbb8635a3732a36b214b4f802
-size 11317
+oid sha256:311ce4efa3a941fa6d16a9378472ba1971942bff911a5d0ce7bc393815a7a207
+size 8743