import pandas as pd
from sklearn.manifold import TSNE
from sklearn.linear_model import LinearRegression
import numpy as np
from matplotlib import pyplot as plt
import seaborn as sns
sns.set()
data2 = pd.read_csv("uber-raw-data-janjune-15.csv")
data2
data2['Pickup_date'].hist()
KernelInterrupted: Execution interrupted by the Jupyter kernel.
# from lets_plot import *
# ggplot() + geom_bar(aes(x="Pickup_date"), data=data2, sampling=sampling_pick(n=50))