В работе

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 ,

Навыки: Статистический анализ, Статистика, Excel, SPSS Statistics, Язык программирования R

О клиенте:
( 1 отзыв ) Dubai, United Arab Emirates

ID проекта: #33707494

Поручен:

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0.0

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7.0
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6.9
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6.7
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saidmillionaire0

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

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mmuhamadnurrais

I can make it from excel, iam familiar with data trend, spike and anomalies , then I can show aggregation data between period, like wow, mom, wtd, mtd etc.

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