One potential approach could be to construct a transition matrix showing the probability of moving from each state to another state. This can be visualized with a “heat map” encoding (I think matshow in numpy/matplotlib does this).

On Sat, 28 Apr 2018 at 21:34, kant kodali <> wrote:

I mean a transaction goes typically goes through different states like STARTED, PENDING, CANCELLED, COMPLETED, SETTLED etc...


On Sat, Apr 28, 2018 at 4:11 AM, Jörn Franke <> wrote:
What do you mean by “how it evolved over time” ? A transaction describes basically an action at a certain point of time. Do you mean how a financial product evolved over time given a set of a transactions?

> On 28. Apr 2018, at 12:46, kant kodali <> wrote:
> Hi All,
> I have a bunch of financial transactional data and I was wondering if there is any ML model that can give me a graph structure for this data? other words, show how a transaction had evolved over time?
> Any suggestions or references would help.
> Thanks!