This project is part of the tasks in the Udacity Data Analyst Nanodegree, and aims to practice the skills learned during the course.
In this project, I analyzed Guarulhos city and global temperature data and compare the temperature trends that Guarulhos to overall global temperature trends.
The data was extracted from a Udacity SQL Server saved in the data folder in csv format.
The whole project is developed within Jupyter Notebook and the data is imported and worked using the Pandas library of the Python language .