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# Exploring for answers
This is a continuation of the previous lesson's [assignment](../14-Introduction/assignment.md), where we briefly examined the dataset. Now, we will dive deeper into the data.
Once again, the question the client wants answered is: **Do yellow taxi passengers in New York City tip drivers more in the winter or summer?**
Your team is currently in the [Analyzing](README.md) stage of the Data Science Lifecycle, where you are tasked with performing exploratory data analysis (EDA) on the dataset. You have been provided with a notebook and a dataset containing 200 taxi transactions from January and July 2019.
## Instructions
In this directory, you will find a [notebook](../../../../4-Data-Science-Lifecycle/15-analyzing/assignment.ipynb) and data from the [Taxi & Limousine Commission](https://docs.microsoft.com/en-us/azure/open-datasets/dataset-taxi-yellow?tabs=azureml-opendatasets). For more details about the data, refer to the [dataset's dictionary](https://www1.nyc.gov/assets/tlc/downloads/pdf/data_dictionary_trip_records_yellow.pdf) and [user guide](https://www1.nyc.gov/assets/tlc/downloads/pdf/trip_record_user_guide.pdf).
Use some of the techniques covered in this lesson to conduct your own EDA in the notebook (feel free to add cells if needed) and answer the following questions:
- What other factors in the data might influence the tip amount?
- Which columns are likely unnecessary for answering the client's question?
- Based on the data provided so far, does it appear to show any evidence of seasonal tipping patterns?
## Rubric
Exemplary | Adequate | Needs Improvement
--- | --- | --- |
---
**Disclaimer**:
This document has been translated using the AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator). While we aim for accuracy, please note that automated translations may include errors or inaccuracies. The original document in its native language should be regarded as the authoritative source. For critical information, professional human translation is advised. We are not responsible for any misunderstandings or misinterpretations resulting from the use of this translation.