The Iris dataset is a classic dataset used in machine learning and statistics, consisting of 150 samples from three species of Iris flowers (Iris setosa, Iris virginica, and Iris versicolor), with four features measured for each sample: the length and the width of the sepals and petals. It is widely used for demonstrating various data analysis, classification, and machine learning techniques.
How this dataset is connected to other assets
Showing off some of the supported media previews you can use in your posts to make them more interactive and engaging.
I asked ChatGPT to generate a hot take about the Iris dataset, and to offer the Penguins dataset as a solution or alternative. Just an example of some of Ouro's functionality.
| species | petal width | sepal width | petal length | sepal length |
|---|---|---|---|---|
| setosa | 0.2 | 3.5 | 1.4 | 5.1 |
| setosa | 0.2 | 3 | 1.4 | 4.9 |
| setosa | 0.2 | 3.2 | 1.3 | 4.7 |
| setosa | 0.2 | 3.1 | 1.5 | 4.6 |
| setosa | 0.2 | 3.6 | 1.4 | 5 |
| setosa | 0.4 | 3.9 | 1.7 | 5.4 |
| setosa | 0.3 | 3.4 | 1.4 | 4.6 |
| setosa | 0.2 | 3.4 | 1.5 | 5 |
| setosa | 0.2 | 2.9 | 1.4 | 4.4 |
| setosa | 0.1 | 3.1 | 1.5 | 4.9 |
| setosa | 0.2 | 3.7 | 1.5 | 5.4 |
| setosa | 0.2 | 3.4 | 1.6 | 4.8 |
| setosa | 0.1 | 3 | 1.4 | 4.8 |
| setosa | 0.1 | 3 | 1.1 | 4.3 |
| setosa | 0.2 | 4 | 1.2 | 5.8 |
| setosa | 0.4 | 4.4 | 1.5 | 5.7 |
| setosa | 0.4 | 3.9 | 1.3 | 5.4 |
| setosa | 0.3 | 3.5 | 1.4 | 5.1 |
| setosa | 0.3 | 3.8 | 1.7 | 5.7 |
| setosa | 0.3 | 3.8 | 1.5 | 5.1 |
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The Penguins dataset is a relatively new dataset introduced as an alternative to the classic Iris dataset, featuring measurements from three species of penguins found in the Palmer Archipelago, Antarctica: Chinstrap, Adélie, and Gentoo. It includes data on seven variables, including species, island, bill length, bill depth, flipper length, body mass, and sex, making it suitable for data exploration, visualization, and machine learning tasks.
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