let's pick for istance this simple dataset, simulating a survey about problem solving:
tipo problema;interlocutore;esito
tecnico;helpdesk;ok
tecnico;helpdesk;ok
commerciale;helpdesk;ko
commerciale;sales agent;ok
tecnico;sales agent;ko
commerciale;helpdesk;ko
commerciale;helpdesk;ko
tecnico;helpdesk;ok
Generatins a flow like this:
you'll see that techincal problems seems to be ok if issued to sales agent and commercial problem ko. I believed that flows could help identifying correlation between steps. Any suggestion?
I am not sure what the question/issue is here... Alluvial diagram 'forgets' where flows come from for every new step. If you want to keep that information, maybe Parallel Sets works better for you
let's pick for istance this simple dataset, simulating a survey about problem solving: tipo problema;interlocutore;esito tecnico;helpdesk;ok tecnico;helpdesk;ok commerciale;helpdesk;ko commerciale;sales agent;ok tecnico;sales agent;ko commerciale;helpdesk;ko commerciale;helpdesk;ko tecnico;helpdesk;ok
Generatins a flow like this:![sdsd](https://cloud.githubusercontent.com/assets/149424/4075675/8a7370ca-2eb2-11e4-8773-bdb731981ff7.png)
you'll see that techincal problems seems to be ok if issued to sales agent and commercial problem ko. I believed that flows could help identifying correlation between steps. Any suggestion?