Jul-05-2022, 09:28 AM
Hello everyone,
I would like to use python to analyze this table (example). But I don't know which technique would be the best for my problem.
Each line corresponds to an observation (450 k lines). Each one has a date, a step, and one or two events (0=No, 1=Yes). I have 7 steps that repeat each year (like seasons) over 4 years, and 8 different events.
My problem : I would like to know a method to calculate the distribution/hierarcy of each event by steps, then per year.
I don't know how to do it. What kind of algorithms would be interesting?
My dependent variable would be "steps".
My independent variables are the events.
I hope to have been clear enough on my problem, it is for my research paper, thank you
I would like to use python to analyze this table (example). But I don't know which technique would be the best for my problem.
Each line corresponds to an observation (450 k lines). Each one has a date, a step, and one or two events (0=No, 1=Yes). I have 7 steps that repeat each year (like seasons) over 4 years, and 8 different events.
My problem : I would like to know a method to calculate the distribution/hierarcy of each event by steps, then per year.
I don't know how to do it. What kind of algorithms would be interesting?
My dependent variable would be "steps".
My independent variables are the events.
I hope to have been clear enough on my problem, it is for my research paper, thank you