I would like to get any advice on how to solve the next Data analysis problem with python (pandas matplotlib and seaborn). I'm working in a chemical plant as an engineer, and I would like to compare data sets ( like temperature, pressure concentration, and so on) in 2 different time frames. The first data frame represents a normal condition, and the second represents a sudden failure. For example, i have 2 excel files with identical columns parameter names ( pressure, density, temperature, and so on) and the value of the parameters from date x to date y.
What is the best way (with pandas and visualization) to compare the parameter trends between the 2 data frames?
I think to make a boxplot (y= parameter, x= data frame( normal condition and failure condition) ) and then to see if there is any difference. but I'm sure there is a better way to do it.
