<jupyter_start><jupyter_text>Seaborn LibraryVisualização estatistica de dadosProjetado para atuar com DataFrameslink: https://seaborn.pydata.org* Alguns DataFrames já incorporados:    * Iris (plantas)    * Tips (gorgetas)    * Flights (quantidade de vôos)* Color Palletes:    * coolwarm    * rainbow    * Set1    * deep<jupyter_code># Import Libraries

import numpy as np
from numpy.random import randn

import pandas as pd

import matplotlib.pyplot as plt
%matplotlib inline

import seaborn as sns
# Iris DataSet

tips = sns.load_dataset('iris')
tips.info()
tips.head()
tips = sns.load_dataset('tips')
tips.info()
tips.head()
flights = sns.load_dataset('flights')
flights.info()
flights.head()<jupyter_output><class 'pandas.core.frame.DataFrame'>
RangeIndex: 144 entries, 0 to 143
Data columns (total 3 columns):
year          144 non-null int64
month         144 non-null category
passengers    144 non-null int64
dtypes: category(1), int64(2)
memory usage: 2.9 KB
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