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I have a list of transactions of bus route from place to place, I don't have any target variable here. I was asked to give meaningful insights from the data, what can I do here?

I cleaned the data, replaced missing values in distance, price. Doing only descriptive analytics, what predictive analytics can we give here?

Here is a sample of my data,

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I didn't have enough room in the comments so I'm responding here.

I don't think you'll provide anything useful if you build models to predict any of the columns in your sample.

However, your descriptive analytics should offer a lot of insight, for example, you can say which type of vehicle is more popular for a certain purpose in a certain city and so much more. So while you don't actually predict anything, you're showing the likelihood that something happens for a specific purpose. This itself is useful for business decisions.

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  • $\begingroup$ Thank you, I have a plan to bind transactions by week and do time series analysis. So I cannot do predictions with this available data, what more details are required to do predictive analytics on this. $\endgroup$
    – Pardhu K
    Apr 23, 2019 at 11:45
  • $\begingroup$ It's hard to speculate on what else is needed. I'd suggest getting as much as you can and then figure out if there is any way you can make a user's decision for them. If you know certain things about a user, can you predict something to expedite their process? For example, if you know why a user is in a certain city, maybe you can automatically give them the departure times and cost of the vehicles that service their purpose in that city. It all depends on the data available. $\endgroup$
    – Sterls
    Apr 23, 2019 at 11:55
  • $\begingroup$ No its not about user, they have to book a whole bus. If they are going out with family on any occasion they can book small cars also, I will look into it bro Thanks. $\endgroup$
    – Pardhu K
    Apr 23, 2019 at 12:09

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