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Aprenda Histograms | Gaining Insights with Data Visualization
Gaining Insights with Data Visualization

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Histograms

A histogram is a graphical representation of the distribution of a dataset. It consists of rectangular bars where each bar’s height represents the frequency, or the number of observations, within each bin. Bins are defined intervals into which the data is segmented, and the bars show how many data points fall into each interval.

Histograms are invaluable for visualizing a dataset's distribution and for identifying patterns, trends, and potential outliers. They also provide insights into the data's spread, skewness, and overall variability.

Tarefa

Swipe to start coding

  1. Load the 'iris' dataset.
  2. Create a histogram based on the values of the 'sepal_length' column.

Solução

import seaborn as sns
import matplotlib.pyplot as plt

# Setting a grey background
sns.set(style='darkgrid')

# Load the iris dataset
df = sns.load_dataset('iris')

# Create a histogram
sns.histplot(data=df, x='sepal_length', color='grey')
plt.show()

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Seção 1. Capítulo 7
AVAILABLE TO ULTIMATE ONLY
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