predicting FARE?

1) Explore the numerical predictors and outcome (FARE) by creating a correlation table,

heat map, and examining some scatterplots between FARE and those predictors. What

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seems to be the best single predictor of FARE?

2) Explore the categorical predictors (Excluding the first four) by creating the pivot table

with the average fare in each category. Which categorical predictors seems best for

predicting FARE?

3)Find a model with the regression model for predicting the average fare on a new route:

(3.1) Convert categorical variables into dummy variables. Then, partition the data

into training and test sets. The model will be fit to the training data and

evaluated on the test set.

PLEASE USE PYTHON , JUPYTER NOTEBOOK

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