In [198]:
import plotly.plotly as pl
import plotly.graph_objs as go
import plotly.offline as po
import matplotlib.pyplot as plt
import mpl_toolkits.basemap as bm
import pandas as pd
import numpy as np
import seaborn as sns

po.init_notebook_mode()
%pylab inline


Populating the interactive namespace from numpy and matplotlib

In [2]:
PATH_TO_DATASETS = '../yelp_dataset/'
df_businesses = pd.read_csv(PATH_TO_DATASETS + 'businesses.csv', sep=',', encoding='utf-8')
df_checkins = pd.read_csv(PATH_TO_DATASETS + 'checkins.csv', sep=',', encoding='utf-8')
df_reviews = pd.read_csv(PATH_TO_DATASETS + 'reviews.csv', sep=',', encoding='utf-8')
df_users = pd.read_csv(PATH_TO_DATASETS + 'users.csv', sep=',', encoding='utf-8')
df_tips = pd.read_csv(PATH_TO_DATASETS + 'tips.csv', sep=',', encoding='utf-8')

In [3]:
df_businesses.head(1)


Out[3]:
business_id city full_address latitude longitude name open review_count stars state ... hour_saturday_open hour_sunday_close hour_sunday_open hour_thursday_close hour_thursday_open hour_tuesday_close hour_tuesday_open hour_wednesday_close hour_wednesday_open neighborhoods_count
0 vcNAWiLM4dR7D2nwwJ7nCA Phoenix 4840 E Indian School Rd\nSte 101\nPhoenix, AZ ... 33.499313 -111.983758 Eric Goldberg, MD True 9 3.5 AZ ... NaN NaN NaN 17:00 08:00 17:00 08:00 17:00 08:00 0

1 rows × 983 columns