Iris Problem¶
The Iris Flower Dataset contains measurements on three species of iris flowers
import pandas as pd
# Fetch the data (1)
iris = pd.read_csv("https://raw.githubusercontent.com/practiceprobs/datasets/main/iris/iris.csv")
# Inspect the first 5 rows
iris.head()
# sepal_length sepal_width petal_length petal_width species
# 0 5.1 3.5 1.4 0.2 Iris-setosa
# 1 4.9 3.0 1.4 0.2 Iris-setosa
# 2 4.7 3.2 1.3 0.2 Iris-setosa
# 3 4.6 3.1 1.5 0.2 Iris-setosa
# 4 5.0 3.6 1.4 0.2 Iris-setosa
# Inspect the last 5 rows
iris.tail()
# sepal_length sepal_width petal_length petal_width species
# 145 6.7 3.0 5.2 2.3 Iris-virginica
# 146 6.3 2.5 5.0 1.9 Iris-virginica
# 147 6.5 3.0 5.2 2.0 Iris-virginica
# 148 6.2 3.4 5.4 2.3 Iris-virginica
# 149 5.9 3.0 5.1 1.8 Iris-virginica
# Inspect the species values
iris.species.value_counts()
# Iris-setosa 50
# Iris-versicolor 50
# Iris-virginica 50
# Name: species, dtype: int64
- Check out github.com/practiceprobs/datasets for a collection of easily accessible datasets hosted on Github!
Suppose we want to build a model to predict petal_length. It'd be useful to visualize petal_length versus the other three continuous variables: sepal_length, sepal_width, and petal_width, each colored by species. Do that, mimicking the plot below.
Notes
Show the plot
