saturn

This dataset is a small orbital and physical reference catalogue of 6 notable moons in the solar system — Earth's Moon, Jupiter's four Galilean moons (Io, Europa, Ganymede, Callisto), and Saturn's Titan — sourced entirely from NASA JPL Horizons on 2026-01-19. The most interesting structural feature is the parent planet distribution: four of the six moons belong to Jupiter, making it the dominant host. Two orbital parameters flag outliers worth examining — eccentricity and inclination, where one moon (likely the Earth's Moon or Titan) sits clearly apart from the tightly clustered Galilean group. Physical size and mass are remarkably similar across all six, with diameters ranging from 3,122 to 5,262 km and masses between 0.008 and 0.025 Earth masses, suggesting this selection skews toward the largest moons in the solar system.

This column represents orbital eccentricity values, likely for planets or moons in a solar system dataset — all values fall in the range 0.0013 to 0.0549, consistent with nearly circular orbits. With only 6 rows and 6 unique values, the dataset itself is tiny. One outlier is flagged (16.7% outlier rate), corresponding to the maximum value of 0.0549, which is notably higher than the median of 0.0084 and drives a right skew of 1.11. The std of 0.0207 is larger than the mean of 0.01765, signalling high relative dispersion for such a small sample.

This column represents orbital or geometric inclination measured in degrees, almost certainly for a small set of planetary bodies, satellites, or similar astronomical objects (n=6, all unique). The distribution is heavily right-skewed (skew=1.76) with a median of 0.375° but a mean pulled to 1.11° by one flagged outlier at 5.145°—a value roughly 10× the interquartile range above the median. With only 6 rows, any downstream statistic is highly sensitive to that single extreme value.

This column identifies the data source for each record, with every single row (all 6) carrying the identical value 'NASA JPL Horizons'. With cardinality of 1, entropy of 0.0, and top_rate of 1.0, this column carries zero information variance across the dataset. The imbalance alert is technically correct but understates the situation — this is a fully constant column, not merely skewed.

This column is a fetch or extraction timestamp recording when data was pulled, stored as a categorical string. With only 6 rows and a single unique value ('2026-01-19' appearing in all 6 records), the entire dataset appears to represent a single snapshot taken on that date. The zero entropy and top_rate of 1.0 confirm complete uniformity — this column carries no discriminatory signal whatsoever.

This column contains names of well-known natural satellites (moons) in the solar system — Earth's Moon, Jupiter's Galilean moons (Io, Europa, Ganymede, Callisto), and Saturn's Titan. With only 6 rows, 6 unique values, zero nulls, and entropy_ratio of 1.0, every entry is distinct and the column is perfectly uniform. The 'long_tail' alert is a statistical artifact of the tiny dataset size rather than a genuine distributional concern.

This column records the parent planet of entries (likely moons or satellites), with only 3 distinct values across 6 rows: Jupiter, Earth, and Saturn. Jupiter dominates heavily, accounting for 4 of 6 rows (66.7%), which triggers the long-tail alert despite the tiny dataset. The dataset itself is extremely small (n=6), so statistical patterns are barely meaningful.

This column contains external image URLs pointing to planetary/moon texture files used for 3D rendering (sourced from three.js CDN and Wikimedia Commons), representing a small reference table of 6 celestial bodies (Moon, Io, Europa, Ganymede, Callisto, Titan). Every value is unique (cardinality 6, entropy_ratio 1.0, top_rate 0.167), meaning there are no repeated textures — each row maps to exactly one celestial body. The 'long_tail' alert is technically triggered but misleading given n=6 with perfectly uniform distribution. The dataset appears to be a tiny lookup/config table rather than an analytical dataset.

This column represents the aphelion distance of orbiting bodies measured in astronomical units (AU). All 6 values are extremely small (min 0.00271 AU, max 0.01268 AU), placing every object well within Mercury's orbit (~0.47 AU) — suggesting these may be near-Earth or inner solar system micro-objects, spacecraft trajectories, or possibly a unit mismatch (e.g., values intended in a different unit). The distribution is mildly right-skewed (skew 0.603) with no outliers and no nulls across the tiny 6-row dataset, making statistical conclusions very limited.

This column represents the argument of perihelion in degrees — an orbital mechanics parameter defining the angle between an orbit's ascending node and its perihelion point, constrained to [0°, 360°). With only 6 rows (all unique, no nulls), the dataset is extremely small, covering a range of 52.643° to 318.15°, which spans most of the possible angular range. The moderate positive skew (0.69) and wide IQR of 104.11° suggest the objects are orbitally diverse with no clustering around a preferred perihelion orientation, though the tiny n makes any distributional inference unreliable.

This column represents the longitude of the ascending node (in degrees) for a set of 6 orbital bodies or satellites, a standard Keplerian orbital element ranging from 0° to 360°. With only 6 rows and 6 unique values, there is no duplication. The wide spread (min 28.06°, max 298.848°, IQR ~147°) and negative kurtosis (−1.15) indicate values are broadly distributed across the valid angular range rather than clustered, and the mild positive skew (0.616) suggests a slight lean toward lower values.

This column records diameters in kilometres, almost certainly of astronomical bodies (planets, moons, or similar large objects). With only 6 rows, all unique and ranging from 3,122 km to 5,262 km, the dataset appears to be a small reference table of mid-to-large-sized bodies — all larger than Earth's Moon (~3,474 km) but smaller than Earth (~12,742 km). The distribution is remarkably symmetric (skew ≈ −0.03) with platykurtic spread (kurtosis ≈ −1.78), meaning values are spread fairly evenly across the range with no outliers and no clustering at either extreme.

This column represents planetary or object mass expressed in Earth-mass units, with values ranging from 0.008 to 0.025 — a very narrow band corresponding to sub-Earth bodies (roughly Moon-to-Mars scale). The dataset is tiny (n=6, all unique), so distributional statistics are indicative at best; the near-zero skew (−0.034) and platykurtic kurtosis (−1.24) suggest values are spread fairly uniformly across the range rather than clustering. No nulls, no outliers, and no zeros are present. Analysts should note the extremely small sample size limits any modelling utility without augmentation.

This column represents mean anomaly in degrees, an orbital mechanics parameter describing where an object is in its orbit (0–360°). With only 6 rows, all unique, the values span 135.27° to 342.021°, suggesting a small catalogue of celestial bodies or orbital observations. The platykurtic distribution (kurtosis –1.42) and wide IQR of 118.35° indicate values are spread fairly uniformly across roughly three-quarters of the full angular range, with no clustering near 0° or 360°—the upper portion of the angular circle is notably absent.

This column represents orbital period measurements in years, likely for a small set of celestial bodies (n=6) such as inner solar system planets or short-period exoplanets. All 6 values are unique with no nulls, ranging from 0.00485 to 0.0748 years — equivalent to roughly 1.8 to 27.3 days — strongly suggesting these are Mercury-class or hot-Jupiter-class short-period orbits. The distribution is mildly right-skewed (skew=0.45) with near-platykurtic spread (kurtosis≈-1.06), meaning values are spread relatively evenly rather than clustered, which is plausible for a curated planetary sample. With only 6 rows, statistical conclusions are severely limited and any modelling should treat this as a reference lookup rather than a training feature.

This column represents perihelion distance in astronomical units (AU) — the closest orbital approach distance to the Sun for a set of solar system objects (likely comets or sun-grazing bodies). With only 6 rows and all values between 0.00243 AU and 0.0125 AU, every object passes extremely close to the Sun (Mercury's perihelion is ~0.31 AU), suggesting these are sun-grazing or near-sun objects. The distribution is mildly right-skewed (skew = 0.62) with no outliers and a tight IQR of 0.004515 AU, meaning the objects cluster closely in orbital characteristics.

This column records the rotation period in days for a small set of 6 astronomical bodies (likely planets or moons), with all values unique and no nulls. The range spans 1.769 to 27.322 days, with a mean of ~12.07 and a median of 11.55, indicating only mild right skew (0.447). The near-flat kurtosis of -1.062 and a large IQR of 12.051 relative to the mean suggest the values are broadly spread with no tight central clustering — consistent with the naturally wide variation in rotation periods across different planetary bodies.

This column contains orbital semi-major axis measurements in astronomical units (AU) for a very small sample of 6 objects, all with unique values and no nulls. Notably, every value is extremely small (max 0.01259 AU, mean 0.0063 AU), placing all objects well inside Mercury's orbit (~0.39 AU) — suggesting these are likely inner solar system bodies, spacecraft trajectories, or sub-orbital objects. The distribution is mildly right-skewed (skew 0.61) with a wide IQR (0.00468) relative to the mean, but with only 6 rows any statistical inference is severely limited.

This column classifies moons into one of two astronomical categories: 'Galilean Moon' (4 of 6 rows, 66.7%) and 'Major Moon' (2 of 6 rows, 33.3%). With only 6 rows and 2 unique values, this is almost certainly a small reference table — likely Jupiter's four Galilean moons plus two other notable moons. The entropy ratio of 0.918 indicates a moderately uneven but not extreme split between the two classes.