Domestic Animals Across Animal Classes

By abhishek.verma75000 · April 2, 2026

This analysis examines domestic animals, their distribution across class types, and the traits commonly associated with domesticated species.

The bar chart shows the average and most common (mode) number of legs for each class type in the dataset. Both metrics are displayed side by side, making it easy to compare how leg counts vary across different animal classes.

The bar chart shows how animals are distributed across all 7 class types in the dataset. Each bar represents a class, with the height indicating how many animals belong to that class. The visualization uses a color gradient to make it easy to compare class sizes at a glance.

The bar chart and data table show the percentage of predators within each animal class type in the dataset. Each class is compared by how many of its animals are classified as predators.

Yes, cat-sized or larger animals are more likely to be predators. The bar chart shows that cat-sized or larger animals have a 63.6% predator rate (28 out of 44 animals), compared to 49.1% for smaller animals (28 out of 57). This confirms a clear size-predator relationship in the dataset.

Based on the dataset of 36 aquatic and 65 non-aquatic animals, there are clear differences across all three traits. A data table was generated showing these comparisons. Aquatic animals are far more likely to be predators (80.6%) compared to non-aquatic animals (41.5%). Fins are almost exclusively an aquatic trait — 47.2% of aquatic animals have fins versus 0% of non-aquatic ones. Backbone rates are nearly identical between the two groups, with aquatic animals at 83.3% and non-aquatic at 81.5%.

Among the 24 airborne animals in the dataset, a clear combination of features stands out. The analysis produced a bar chart comparing airborne vs. non-airborne animals across four key features, plus a pie chart showing leg count distribution among airborne animals. Feathers are the most distinctive trait — 66.7% of airborne animals have them compared to just 5.2% of non-airborne animals. Egg-laying is also very common at 91.7% (vs. 48.1% for non-airborne). Most airborne animals have a backbone (75%), and the most common leg count is 2 (typical of birds), though 6-legged insects also contribute to the group.

The dataset contains 8 venomous animals: frog, honeybee, pitviper, scorpion, seasnake, seawasp, stingray, and wasp. Two charts were generated to explore their class types and traits. The first bar chart shows the distribution of venomous animals by class type, and the second compares average trait values between venomous and non-venomous animals across 14 characteristics like predator behavior, backbone presence, and more.

Domestic animals in this dataset appear across 4 class types: 1, 2, 4, and 6. There are 13 domestic animals total: calf, carp, cavy, chicken, dove, girl, goat, hamster, honeybee, parakeet, pony, pussycat, and reindeer. Two charts were generated — one comparing trait profiles between domestic and non-domestic animals, and another showing how domestic animals are distributed across class types.

The analysis reveals how hair, feathers, eggs, and milk distinguish each of the 7 animal classes. Two heatmaps and grouped bar charts were generated to visualize these patterns. Mammals (Class 1, n=41) are uniquely identified by the combination of hair AND milk — no other class has milk. Birds (Class 2, n=20) are the only class with feathers, making that feature a perfect classifier. Most other classes (Reptiles, Fish, Amphibians, Bugs, Invertebrates) rely heavily on eggs as their dominant feature, making eggs less discriminating on its own. Bugs (Class 6) are interesting as they show both hair and eggs.

The analysis compared 41 milk-producing animals against 59 egg-laying animals across 14 biological traits. Two charts were generated: a grouped bar chart showing average trait values side by side, and a horizontal difference chart highlighting where the two groups diverge most. Milk-producing animals are strongly characterized by hair (95% vs 8%), teeth (98% vs 34%), air-breathing (100% vs 66%), more legs on average (3.37 vs 2.46), and larger body size (78% vs 22% cat-sized). Egg-laying animals, by contrast, are far more diverse — they are more likely to be aquatic (51% vs 15%), airborne (37% vs 5%), have feathers (34% vs 0%), fins (22% vs 10%), and even be venomous (10% vs 0%).

A bar chart was generated comparing the rarity of four animal features — venomous, fins, domestic, and airborne — across the entire dataset. The chart visually ranks these features from least to most common, with color intensity helping highlight which traits appear in the fewest animals.

Toothed animals are significantly more likely to be predators than toothless ones. Overall, 60.7% of toothed animals are predators compared to 47.5% of toothless animals. Two bar charts were generated showing predator rates and animal counts broken down by class type and toothed status, making it easy to compare patterns across different animal classes.

Overall, 69 out of 101 animals (68.3%) in the dataset have both a backbone and breathe air. The analysis produced stacked bar and pie charts showing how these animals are distributed across different class types, giving a clear visual breakdown of which classes are most represented.

The analysis examined which pairs of binary features most frequently appear together across animals in the dataset. Two data tables were generated showing the co-occurrence counts for all feature pair combinations, revealing which traits tend to cluster together in the animal kingdom.

The analysis identified which animals have the most unusual trait combinations compared to others in their class. Two data tables were generated showing animals ranked by how much their traits deviate from the typical profile of their class type. Each animal received an 'unusualness score' based on how far its traits differ from the average for its class.

The dataset contains 23 animals with zero legs. Two visualizations were generated to help explore these animals: a bar chart showing how they are distributed across different class types, and a heatmap displaying which survival traits (such as being a predator, having a backbone, fins, tail, being venomous, toothed, or breathing air) each animal possesses. The heatmap makes it easy to spot patterns — for example, which zero-leg animals share common traits like having a backbone or fins.