The Big Data Landscape Diagram 2016 – Version


Introduction Github is a web version control system which is very useful when you are working on various projects or you want to keep track of changes you make to your project over time. It is a very useful tool as you venture into Data Science and Programming Objective After you have created a…
GDPR stands for General Data Protection Regulation (GDPR) also referred to as the EU General Data Protection Regulation (GDPR). According to the EUGDPR website , The EU General Data Protection Regulation (GDPR) is the most important change in data privacy regulation in 20 years. The EU General Data Protection Regulation (GDPR) replaces the Data Protection Directive 95/46/EC and was designed to harmonize…
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Having started my journey in Data Science. I came across Mean Squared Error several times and realised how important that concept is. Then I started working on project and needed to really understand what Mean Squared Error is ? So what is Mean Squared Error ? Simply, let’s say you are building your model. And…
Untitled This is a quick script on how to save Python pivot_table in an excel file. Credit to pbpython In [1]:
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import sqlalchemy import pyodbc from pandas import DataFrame import pandas as pd |
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df = DataFrame ## connect to SqlServer Database and get information. try: import urllib params = urllib.quote_plus("DRIVER={SQL Server Native Client 11.0};SERVER=.\MSSQLSERVER_ENT;DATABASE=Antrak;Trusted_Connection=yes;") engine = sqlalchemy.create_engine('mssql+pyodbc:///?odbc_connect=%s"' % params) resoverall = engine.execute("SELECT * FROM FlightBookingsMain") df = df(resoverall.fetchall()) df.columns = resoverall.keys() except (RuntimeError, TypeError, NameError): print('Error in Conneccting') print(RuntimeError, TypeError, NameError) finally: print("connected") |
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connected |
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df.head() |
Out[8]: First Name Last Name Sex Phone Fax Email Address Booking Date Departure Date Arrival Date Address1 … Number of Passengers Total Cost Currency Numeric Code…
Summarizing Data This week we are looking at five most common aggregate functions used to summarize information stored in tables: COUNT and SUM very frequently. COUNT is the only aggregate function that can work on any type of variable. The other four aggregate functions are only appropriate for numerical data. All aggregate functions require you…
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