A sample of 99 cars is analysed. 13 variables. Have a look of the data audit done using SPSS Modeler.
Now comes the slicing and dicing part.
We can observe that the a post graduate whose wife is working has a more chance of buying a car.
secondly compared to the education level post graduates bought the higher percentage of cars.
The box plot below gives an idea about the salary range, mean , median, mode, make of the car and its count. An example of good visualisation in one graph.
Does Home loan has an impact ? find the answer below...
What is the impact of count when it comes to home loan ?
Thanks Ramprsath for support and technicals
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