Python Forum

Hi

I have a file of service order (work purpose)
I am trying to see if there is any correlation of why service orders fail/not complete
Maybe the time they are created, or a particular day, team raising the order etc.
That way we could make a change as to not to raise it on a particular day or team to avoid repeat jobs.

I am using Jupyer/Python but in my attempts I have found nothing.
If someone can assist in away way, even as little as saying there is pattern in xyz.
Any pointers/script snippets will be appreciate.

I am quiet new to python, so appreciate any feedback

https://expirebox.com/download/83541d838...de261.html

Thanks
Danijel

What have you done so far?
In python is very easy to get data form CVS file and "isolate" them with those conditions pointed by you.
Start coding and we can help you along the way.

So I have uploaded the file

Quote:dfa = pd.read_csv(....)

Used correlation matrix

Quote:fig, ax = plt.subplots(figsize=(20,20))
sns.heatmap(dfa.corr(), annot=True)

From what I could see, nothing stood out relationship wise.