benadaba

benadaba

benadaba

# -*- coding: utf-8 -*-
""" Small script that shows hot to do one hot encoding
    of categorical columns in a pandas DataFrame.

    See:
    http://scikit-learn.org/dev/modules/generated/sklearn.preprocessing.OneHotEncoder.html#sklearn.preprocessing.OneHotEncoder
    http://scikit-learn.org/dev/modules/generated/sklearn.feature_extraction.DictVectorizer.html
"""
import pandas
import random

benadaba

/****** Script for SelectTopNRows command from SSMS ******/
SELECT count(*) as [# Bookings], 
ROUND((cast(Count([Flight Booking ID])* 100 as FLOAT) / (Select Count(*) From [Antrak].[dbo].[FlightBookingsMain] where isCancelled <> 'false')), 2) as [% Booking],
datename(dw, [Booking Date]) as [Most Popular Day]
FROM [Antrak].[dbo].[FlightBookingsMain]
where isCancelled <> 'false'
group by datename(dw, [Booking Date])

order by [# Bookings] desc

benadaba

# -*- coding: utf-8 -*-
"""
Created on Wed Sep 28 22:17:41 2016

@author: adaba
"""

import datetime
from calendar import monthrange
from dateutil.parser import parse

benadaba

benadaba

/*(a) rows in the trsnact table that have “0” in their orgprice column (how could the
--original price be 0?), */

SELECT *
FROM TRNSACT
WHERE ORGPRICE = 0;



-- (b) rows in the skstinfo table where both the cost and retail price are listed as 0.00,

benadaba

--Ex4 
SELECT *
FROM TRNSACT
WHERE AMT <> SPRICE;

benadaba

SELECT *
FROM deptinfo
SAMPLE 10
ORDER BY dept ASC;

SELECT TOP 50 *
FROM skstinfo;

SELECT TOP 10*
FROM skstinfo_fix;

benadaba

HELP TABLE deptinfo;
SHOW TABLE deptinfo;

HELP TABLE skstinfo;
SHOW TABLE skstinfo;

HELP TABLE skstinfo_fix;
SHOW TABLE skstinfo_fix;

HELP TABLE skuinfo;