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%pylab
%matplotlib inline
import pandas as pd
from pandas import DataFrame, Series

import json
import seaborn as sns

import IPython
from IPython.display import Image, display

pd.set_option('display.max_rows', 500)
pd.set_option('display.max_columns', 500)
pd.set_option('display.mpl_style', 'default') # Make the graphs a bit prettier

sns.set_style("darkgrid")
sns.set_palette("bright")

plt.rcParams['figure.figsize'] = (13, 9)
plt.rcParams['font.family'] = 'sans-serif'

import statsmodels.api as sm
import statsmodels.formula.api as smf

Album Sales



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albumdata = pd.read_table('../../DSUR/07/Album Sales 1.dat')
albumdata.head(10)



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albumdata.describe()



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sns.lmplot('adverts', 'sales', albumdata, fit_reg=False)



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model = smf.ols('sales ~ adverts', albumdata).fit()
model.summary()



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sns.lmplot('adverts', 'sales', albumdata)



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