Hi Guys,
I was trying to find outliers from the previous months data.
As you can see in below table, data from Aug and Nov month are somewhat different from the group. Can we find out outliers in Alteryx without using python / R . How should I go about it?
Any help would be appreciated. Thanks in advance.
ID | Month ( Year 2020 ) | Data |
1 | Jan | 200 |
2 | Feb | 190 |
3 | Mar | 180 |
4 | Jun | 210 |
5 | Jul | 220 |
6 | Aug | 270 |
7 | Sep | 185 |
8 | Oct | 205 |
9 | Nov | 140 |
Solved! Go to Solution.
Hi @prateek29c
This is definitely possible within Alteryx, it would depend on your own experitse on the data and what you would consider as an outlier.
I have attached a workflow which would provide the framework for this. You can use the Summarize to generate Mean and Standard Variations from the data and then filter all of the data based on these values.
Let me know if you have any questions
Kind Regards,
Will
Hi @wdavis,
Thank you so much for this solution. This worked for me.
Check out @MarqueeCrew's excellent Modify Outliers macro that you can download from the gallery. You can easily identify outliers, get data on their values (average/upper/lower limites etc) and have the option to remove them from your data and process downstream tools without them.
I use it weekly!
https://gallery.alteryx.com/#!app/CReW-Modify-Outliers/5a80861feffc2a2658b0ad96
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