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How to detect outliers from a big set of data ?

Among the methods of data analysis,outlier detection is a method where abnormality/extremity within a data set is detected and removed such that a regular trend can be easily detected from the collected data set. The regular trend helps to map the goal of research with its outcome. Watch the tutorial and give feedback in the comments. How to detect outliers from a big set of data ? from Mrinmoy Majumder You can find many more similar tutorials in http://www.baipatra.ws Signing off : Founding and Honorary Editor Innovate for Sustainability
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Title: Wintertime is Coming Insulate Your Home & Save on Heating System Costs Description: With the Canadian Geese honking in the sky practicing for their annual migration to fall climes there is no doubt that Father Christmas, cold wintertime and huge wintertime heating bills are soon to be upon us. Yet it not only normal household maintenance schedules and use but downright negligence that leads most of us to have inadequate , insufficient and downright deficient levels of insulation in our homes leading to larger fuel bills and heating costs that need be and downright false economy.&nbsp;<br />&nbsp;<br />According to those in the heating trades its an everyday occurrence that they see in their heating trades service calls and visits that a vast majority of American and Canadian homes are inadequately protected against both summer and yet winter weather conditions. These residences and office buildings have poorly maintained and installed weather stripping an