# Analyzing for answers

This continues the process of the lifecycle

They want to know: **Do yellow taxi passengers in New York City tip drivers more in the winter or summer?**

Your team is in the [Analyzing](Readme.md) stage of the Data Science Lifecycle.. You have been provided a notebook and data from Azure Open Datasets to explore.  For summer you choose June, July, and August and for winter you choose January, February, and December.

## Instructions

In this directory is a [notebook](notebook.ipynb) that uses Python to load 6 months of yellow taxi trip data from the [NYC Taxi & Limousine Commission](https://docs.microsoft.com/en-us/azure/open-datasets/dataset-taxi-yellow?tabs=azureml-opendatasets) and Integrated Surface Data from NOAA. These datasets have been joined together in a Pandas dataframe.

Your task is to ___

## Rubric

Exemplary | Adequate | Needs Improvement
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