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SELECT s._1, s._3 FROM s3object s
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SELECT count(*) FROM s3object s WHERE s._7='NY'
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SELECT customerID, last_name from american_customers
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SELECT count(*) FROM american_customers WHERE state='NY'
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CREATE TABLE american_customers_norm AS SELECT customerid,first_name,last_name,street_address,city,state,phone, date_parse(join_date,'%m/%d/%Y') as join_date_norm FROM american_customers
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SELECT * FROM american_customers_norm WHERE join_date_norm >= to_timestamp('01-01-2014', 'dd-mm-yyyy')
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DROP DATABASE customers CASCADE
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SELECT customerID, "last name" from imported_data
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CREATE TABLE american_customers_norm AS SELECT customerid,first_name,last_name,street_address,city,state,phone, to_date(join_date,'MM/DD/YYYY') as join_date_norm FROM american_customers
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SELECT * FROM american_customers_norm WHERE join_date_norm >= to_timestamp('01-01-2014', 'dd-mm-yyyy')
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from bokeh.plotting import figure, show from bokeh.io import output_notebook state_counts = df['State'].value_counts() p = figure(x_range=state_counts.index.tolist(), title="Histograma de Estados", x_axis_label='Estados', y_axis_label='Frecuencia') p.vbar(x=state_counts.index, top=state_counts.values, width=0.5, color='navy') p.xaxis.major_label_orientation = 1.2 output_notebook() show(p)