Google Data Analytics Professional Capstone

1) Introduction

Automatidata is fictional data counsulting firm. A client (New York City Taxi and Limousine Commission project (New York City TLC) ) has hired the team based on their good repotation to provide data-based solutions.

2) Scenario

As a junior data analyst, you have been tasked to explore the dataset and to perform some Exploratory data analysis to get a general understanding of what taxi ridership looks like. Aditionally, the management team has asked for vizualization. With the completion of the above tasks, The management has requested descriptive analysis be performed to test the hypothesis, Are customers paying more while using credit cards as comapred to other payment types.

3) Prerequisites

1. Python
2. Jupyter Notebook
3. Matplotlib
4. Seaborn
5. Pandas
6. Numpy

Data set can be found here