Help with an anomaly detection example [Begineer]

 Hi everyone , 

I am a new user of Knime , I had like 5 hours of training with a teacher ( Simple clustering and prediction ) , and I have got a project where I am using Knime to detect anomalys from a data base ..  Let me explain briefly the project : it's a wheater station , and I have different datas ( temperature , luminosity .. )  depending on dates ,  and I couldn't realize a program that will detect the errors .. We tried to simulate some errors and include them in the data base but i can't make a program that will get rid of them .

I have some ideas but i don't know how to execute them .. I was thinking of calculting like the difference between two straights measures , and if the difference is too high , the measure will be detected as an error and erased from the data base ( CSV format ) .. I already used some row filter , to filter like the impossible values as 0% of humidity , however , I have tried using differents nodes such as Numeric distances combined with  K medoids , Similarity search and many other stuff .. and I can't get it.

If you have an easier way to detect the anomaly , i would be thankful ! And i am a big beginner in the data analysis field.

Thanks for reading and for your comprehension,

A knowledge seeker ! 

I forgot to tell that I used String to Date/Time !

UP , please

Hi seekingwisdom,

Here are some examples for anomaly detection, you should be able to adapt them to your use case: