Planets Dataset

The Planets dataset includes information about exoplanets, such as their orbital periods and masses. It includes features such as method of detecting the exoplanet, number of planets in the system, orbital period, mass of the planet, and distance from Earth.

Advantages: Unique dataset in the field of astronomy, suitable for exploring exoplanet characteristics and trends.
Disadvantages: Limited to exoplanetary data, small dataset compared to other astronomical datasets.

Features and Characteristics

  • method: Method of detecting the exoplanet (categorical)
  • number: Number of planets in the system (numerical)
  • orbital_period: Orbital period in Earth days (numerical)
  • mass: Mass of the planet in Jupiter masses (numerical)
  • distance: Distance from Earth in light-years (numerical)

How to load Planets Dataset?

planets = sns.load_dataset("planets")
print(planets.head())
method number orbital_period mass distance
Radial Velocity 1 269.3 7.1 77.4
Radial Velocity 1 874.8 2.2 56.95
Radial Velocity 1 763.0 2.6 19.84
Radial Velocity 1 326.0 19.4 110.62
Radial Velocity 1 516.0 10.5 119.47

Seaborn Datasets For Data Science

Seaborn, a Python data visualization library, offers a range of built-in datasets that are perfect for practicing and demonstrating various data science concepts. These datasets are designed to be simple, intuitive, and easy to work with, making them ideal for beginners and experienced data scientists alike.

In this article, we’ll explore the different datasets available in Seaborn, their characteristics, advantages, and disadvantages, and how they can be used for various data analysis and visualization tasks.

Seaborn Datasets For Data Science

  • 1. Tips Dataset
  • 2. Iris Dataset
  • 3. Penguins Dataset
  • 4. Flights Dataset
  • 5. Diamonds Dataset
  • 6. Titanic Dataset
  • 7. Exercise Dataset
  • 8. MPG Dataset
  • 9. Planets Dataset

Similar Reads

1. Tips Dataset

The Tips dataset contains information about tips received by waitstaff in a restaurant. It’s commonly used for regression and exploratory data analysis (EDA). The dataset includes features such as total bill amount, tip amount, gender of the person paying the bill, whether the person is a smoker, day of the week, time of day, and size of the party....

2. Iris Dataset

The Iris dataset is one of the most famous datasets used in pattern recognition literature. It contains measurements of iris flowers from three different species. The dataset includes features such as sepal length, sepal width, petal length, petal width, and species of the iris flower....

3. Penguins Dataset

The Penguins dataset provides measurements for three species of penguins. It includes features such as species of the penguin, island where the penguin was observed, bill length, bill depth, flipper length, body mass, and sex of the penguin....

4. Flights Dataset

The Flights dataset includes information about the number of passengers on flights over a period of years. It includes features such as year of the observation, month of the observation, and number of passengers....

5. Diamonds Dataset

The Diamonds dataset contains information about diamonds, including their characteristics and prices. It includes features such as carat weight, cut, color, clarity, depth, table, price, length, width, and depth in mm....

6. Titanic Dataset

The Titanic dataset contains information about passengers on the Titanic, including whether they survived or not. It includes features such as whether the passenger survived, ticket class, gender of the passenger, age of the passenger, number of siblings/spouses aboard the Titanic, number of parents/children aboard the Titanic, passenger fare, and port of embarkation....

7. Exercise Dataset

The Exercise dataset contains information about individuals’ pulse measurements after different types of exercise. It includes features such as participant ID, type of diet, pulse rate, time after exercise, and type of exercise....

8. MPG Dataset

The MPG dataset contains information about miles per gallon for different car models and their attributes. It includes features such as miles per gallon, number of cylinders in the engine, engine displacement, engine horsepower, vehicle weight, acceleration, model year, origin of the car, and car model name....

9. Planets Dataset

The Planets dataset includes information about exoplanets, such as their orbital periods and masses. It includes features such as method of detecting the exoplanet, number of planets in the system, orbital period, mass of the planet, and distance from Earth....

Conclusion

Seaborn’s built-in datasets provide valuable resources for practicing various data science techniques, from basic exploratory data analysis to advanced machine learning tasks. Each dataset has its own characteristics, advantages, and disadvantages, making them suitable for different applications....