Introduction

While I was learning Data Analysis using Pandas in Python, I decided to analyze the open data about New York City — the largest and most influential American metropolis. New York City is in reality a collection of many neighborhoods scattered among the city’s five boroughs: Manhattan, Brooklyn, the Bronx, Queens, and Staten Island. New York is the most populous and the most international city in the country.

Pandas is a high-level library for doing practical, real-world data analysis in Python. It is one of the most powerful and flexible open-source tools to analyze and manipulate data. In this article, my goal is to explore the wide range of opportunities for visual analysis with Pandas.

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