data trove natural satellites moons

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. Treatment: Use as a human-readable label or index key; no encoding needed given the tiny cardinality, but one-hot encoding is feasible if used as a categorical feature. high · anthropic:default

n

6

nulls

0 (0.0%)

unique

6

top_value

Moon (Luna)

top_rate

0.1667

cardinality

6

entropy

2.585

entropy_ratio

1

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. Treatment: One-hot encode for modelling; note dataset has only 6 rows so any model output will be unreliable. high · anthropic:default

n

6

nulls

0 (0.0%)

unique

3

top_value

Jupiter

top_rate

0.6667

cardinality

3

entropy

1.252

entropy_ratio

0.7897

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. Treatment: Use as a categorical grouping variable or binary label; encode as 0/1 if needed for modelling given the tiny dataset size. high · anthropic:default

n

6

nulls

0 (0.0%)

unique

2

top_value

Galilean Moon

top_rate

0.6667

cardinality

2

entropy

0.9183

entropy_ratio

0.9183

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. Treatment: Use as-is for analysis; consider log-transform only if joined with a wider size range dataset. medium · anthropic:default

n

6

nulls

0 (0.0%)

unique

6

min

3,122

max

5,262

mean

4245

median

4,232

std

938.4

q1

3516

q3

5068

iqr

1552

skew

-0.02994

kurtosis

-1.785

n_outliers

0

outlier_rate

0

zero_rate

0

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. Treatment: Use as-is for small-sample analysis; consider log-transform if combined with datasets spanning a wider mass range. medium · anthropic:default

n

6

nulls

0 (0.0%)

unique

6

min

0.008

max

0.025

mean

0.0168

median

0.0165

std

0.006358

q1

0.01298

q3

0.02137

iqr

0.0084

skew

-0.03422

kurtosis

-1.238

n_outliers

0

outlier_rate

0

zero_rate

0

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. Treatment: Use as-is or log-transform to compress the right tail before regression, but collect more samples before drawing distributional conclusions. medium · anthropic:default

n

6

nulls

0 (0.0%)

unique

6

min

0.00257

max

0.01259

mean

0.0063

median

0.005825

std

0.003824

q1

0.003237

q3

0.007918

iqr

0.00468

skew

0.6117

kurtosis

-0.834

n_outliers

0

outlier_rate

0

zero_rate

0

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. Treatment: Use as-is or apply log-transform to reduce right skew before modelling, and investigate the single outlier at 0.0549. medium · anthropic:default

n

6

nulls

0 (0.0%)

unique

6

min

0.0013

max

0.0549

mean

0.01765

median

0.0084

std

0.02067

q1

0.004925

q3

0.02395

iqr

0.01903

skew

1.106

kurtosis

-0.2887

n_outliers

1

outlier_rate

0.1667

zero_rate

0

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. Treatment: Investigate the 5.145° outlier for data-entry error before modelling; with n=6, consider robust (median-based) scaling rather than z-score normalization. high · anthropic:default

n

6

nulls

0 (0.0%)

unique

6

min

0.05

max

5.145

mean

1.109

median

0.375

std

1.985

q1

0.22

q3

0.5

iqr

0.28

skew

1.759

kurtosis

1.147

n_outliers

1

outlier_rate

0.1667

zero_rate

0

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. Treatment: Use as-is or apply circular/trigonometric encoding (sin/cos) if used in ML models to respect angular periodicity. high · anthropic:default

n

6

nulls

0 (0.0%)

unique

6

min

28.06

max

298.8

mean

129.8

median

94.32

std

108.3

q1

48.87

q3

195.6

iqr

146.7

skew

0.6156

kurtosis

-1.151

n_outliers

0

outlier_rate

0

zero_rate

0

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. Treatment: Use as-is or apply circular/angular encoding (e.g., sin/cos transformation) before modelling to respect the periodic [0°, 360°) nature of the angle. medium · anthropic:default

n

6

nulls

0 (0.0%)

unique

6

min

52.64

max

318.1

mean

152.8

median

134.8

std

98.49

q1

85.34

q3

189.4

iqr

104.1

skew

0.6913

kurtosis

-0.73

n_outliers

0

outlier_rate

0

zero_rate

0

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. Treatment: Use as-is or apply circular/angular encoding (sin/cos decomposition) if used in a model sensitive to the wrap-around at 0°/360°. medium · anthropic:default

n

6

nulls

0 (0.0%)

unique

6

min

135.3

max

342

mean

218.4

median

176.2

std

87.96

q1

165.2

q3

283.5

iqr

118.3

skew

0.632

kurtosis

-1.42

n_outliers

0

outlier_rate

0

zero_rate

0

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. Treatment: Use as-is for lookup or join; if modelling, log-transform to compress range, but note n=6 is too small for robust inference. medium · anthropic:default

n

6

nulls

0 (0.0%)

unique

6

min

0.00485

max

0.0748

mean

0.03306

median

0.03165

std

0.0266

q1

0.0122

q3

0.0452

iqr

0.033

skew

0.4464

kurtosis

-1.064

n_outliers

0

outlier_rate

0

zero_rate

0

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. Treatment: Use as-is for modelling given small n and mild skew; consider log-transform if combined with datasets spanning faster-rotating bodies. high · anthropic:default

n

6

nulls

0 (0.0%)

unique

6

min

1.769

max

27.32

mean

12.07

median

11.55

std

9.714

q1

4.452

q3

16.5

iqr

12.05

skew

0.4474

kurtosis

-1.062

n_outliers

0

outlier_rate

0

zero_rate

0

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. Treatment: Use as-is or apply log-transform given right skew before any regression or clustering, given the small sample size (n=6) limit modelling utility. high · anthropic:default

n

6

nulls

0 (0.0%)

unique

6

min

0.00243

max

0.0125

mean

0.006212

median

0.0058

std

0.003804

q1

0.00322

q3

0.007735

iqr

0.004515

skew

0.6195

kurtosis

-0.798

n_outliers

0

outlier_rate

0

zero_rate

0

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. Treatment: Verify unit consistency (values are suspiciously small for AU); if confirmed correct, use as-is in regression, otherwise rescale before modelling. medium · anthropic:default

n

6

nulls

0 (0.0%)

unique

6

min

0.00271

max

0.01268

mean

0.006388

median

0.00585

std

0.003845

q1

0.003255

q3

0.0081

iqr

0.004845

skew

0.6033

kurtosis

-0.8709

n_outliers

0

outlier_rate

0

zero_rate

0

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. Treatment: Store as-is for reference; use as a foreign-key join target or pass the URL directly to image-loading logic — do not encode or embed. high · anthropic:default

n

6

nulls

0 (0.0%)

unique

6

top_value

https://cdn.jsdelivr.net/gh/mrdoob/three.js@r128/examples/textures/planets/moon_1024.jpg

top_rate

0.1667

cardinality

6

entropy

2.585

entropy_ratio

1

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. Treatment: Drop before modelling — zero-variance constant column adds no predictive signal. high · anthropic:default

n

6

nulls

0 (0.0%)

unique

1

top_value

NASA JPL Horizons

top_rate

1

cardinality

1

entropy

0

entropy_ratio

0

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. Treatment: Drop before modelling; retain only as provenance metadata for lineage tracking. high · anthropic:default

n

6

nulls

0 (0.0%)

unique

1

top_value

2026-01-19

top_rate

1

cardinality

1

entropy

0

entropy_ratio

0