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Identify anomalies in data trends

Looking for a statistical analysis to identify abnormal behaviour in data. With dynamic dimensions.

For example

A data has following dimensions

1. Date (1-DEC , 2-DEC … 25-DEC)

2. hour (0, 1, 2 …. 23)

3. type (website, app etc.)

With following measures

No. Of hits

We want a solution that can pick each dimension figure and try to identify anomalies

For example

Pick each day and compare with other days (against each dimension) , hours and types

Pick each hour and compare with other hour, days and types

Pick each type and compare with other types, days and hour

Identify if the traffic trends and look for drops and increase systematically

This is just an example .. the number of dimensions/measures should be flexible/dynamic ,

Evner: Statistisk analyse, Statistikker, Excel, SPSS Statistics, Programmeringssproget R

Om klienten:
( 1 bedømmelse ) Dubai, United Arab Emirates

Projekt ID: #33707494

Tildelt til:


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24 freelancere byder i gennemsnit $147 timen for dette job


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What is main purpose of this project? Is there any limitation with using packages in R? Are you planning to test any hypotheses specifically? Is there any statistical test on your mind like hypergeometric test between Flere

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Looking for a statistical analysis to identify abnormal behaviour in data. With dynamic dimensions.

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