Identify anomalies in data trends
Budget $30-250 USD
- Freelancer
- Emplois
- Analyses statistiques
- 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 ,
Décerné à:
Helle, I am a data scientist and I have recently completed my master's degree. I worked on many machine learning projects before. You can see my work on my github page: [login to view URL] I can build a a Plus
24 freelances font une offre moyenne de 147 $ pour ce travail
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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 Plus
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Looking for a statistical analysis to identify abnormal behaviour in data. With dynamic dimensions.
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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.