Practicing Series Vectorized Operations with Penguins Data
Practicing Series Vectorized Operations with Penguins Data Data Science Project
Intro to Pandas for Data Analysis

Practicing Series Vectorized Operations with Penguins Data

In this project, you will be working with a dataset containing information about penguins. Each penguin is described by various attributes such as species, island, culmen length, culmen depth, flipper length, body mass, and gender. You will learn how to apply vectorized operations on the Pandas series derived from the dataset to perform various calculations and manipulations.
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Practicing Series Vectorized Operations with Penguins DataPracticing Series Vectorized Operations with Penguins Data
Project Created by

Anurag Verma

Project Activities

All our Data Science projects include bite-sized activities to test your knowledge and practice in an environment with constant feedback.

All our activities include solutions with explanations on how they work and why we chose them.

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Add a constant value of 100 to the `body_mass_g` series

Create a new series called body_mass_g_plus_100 by adding a constant value of 100 to the body_mass_g series.

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Subtract the `culmen_length_mm` series from the `flipper_length_mm` series

Subtract the culmen_length_mm series from the flipper_length_mm series and assign the result to a new series called length_difference.

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Multiply the `culmen_depth_mm` series by 2

Multiply the culmen_depth_mm series by 2 and assign the result to a new series called double_culmen_depth_mm.

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Raise the `flipper_length_mm` series to the power of 2

Create a new series called flipper_length_mm_squared by raising the flipper_length_mm series to the power of 2.

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Calculate the mean of the `culmen_length_mm` series and subtract it from each value in the series

Find the mean of the culmen_length_mm series and subtract it from each value in the series. Assign the result to a new series called culmen_length_mm_mean_centered.

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Concatenate the `species` and `gender` series, separated by a hyphen `-`

Create a new series called species_and_gender by concatenating the species and gender series, separated by a hyphen (-).

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Perform element-wise addition of `culmen_length_mm` and `culmen_depth_mm`

Add culmen_length_mm and culmen_depth_mm together and assign the result to a new variable called culmen_length_plus_depth_mm.

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Sort `culmen_length_mm` in descending order

Create a new series called culmen_length_mm_sorted by sorting culmen_length_mm in descending order.

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Divide `flipper_length_mm` by `culmen_length_mm`

Find the ratio of each penguin's flipper length to its culmen length and assign the result to a new variable called length_ratio.

Practicing Series Vectorized Operations with Penguins DataPracticing Series Vectorized Operations with Penguins Data
Project Created by

Anurag Verma

What's up, friends! 👋 I'm a computer science student about to finish my last year of college. 🎓 I LOVE writing code! ❤️ It makes me so happy! 😄 Whether I'm goofing in notebooks 📓 or coding in Python 🐍, writing programs is a blast! 💥

What's up, friends! 👋 I'm a computer science student about to finish my last year of college. 🎓 I LOVE writing code! ❤️ It makes me so happy! 😄 Whether I'm goofing in notebooks 📓 or coding in Python 🐍, writing programs is a blast! 💥

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Intro to Pandas for Data Analysis

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