1 + 2

!ls /datasets/drive/Curso_Jupiter_Notebooks_y_Anaconda/iris.csv

import matplotlib.pyplot as plt import numpy as np import pandas as pd import scipy as sc import seaborn as sns

!pip install vega_datasets==0.9.0

# load an example dataset from vega_datasets import data cars = data.cars() # plot the dataset, referencing dataframe column names import altair as alt alt.Chart(cars).mark_bar().encode( x=alt.X('Miles_per_Gallon', bin=True), y='count()', )

!ls /datasets/drive

! cat /datasets/drive/Curso_Jupiter_Notebooks_y_Anaconda/iris.csv