Mark Bauer

• 1. Introduction
• 2. Sections

Data Analysis Using Python: A Beginner’s Guide Featuring NYC Open Data is a four-part series as listed in the sections below. The repository features notebooks that will utilize the Python programming language and datasets from NYC Open Data. The series concludes with a sample data analysis project that exemplifies how data inspection, transformation and modelling can be used for discovering useful information and supporting decision-making.

• Part 1: Reading and Writing Files in Python.

• Part 2: Data Inspection, Cleaning and Wrangling in Python.

• Part 3: Plotting and Visualizing Data in Python.

• Part 4: Putting It All Together: A Sample Data Analysis Project with NYC Open Data Using Python.