Python Data Analytics: With Pandas, NumPy, and Matplotlib

© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2023

F. NelliPython Data Analyticshttps://doi.org/10.1007/978-1-4842-9532-8_10

10. An Example—Meteorological Data

Fabio Nelli¹  

(1)

Rome, Italy

 

One type of data that’s easier to find on the Internet is meteorological data. Many sites provide historical data on many meteorological parameters, such as pressure, temperature, humidity, rain, and so on. You only need to specify the location and the date to get a file with datasets of measurements collected by weather stations. These data are a source of a wide range of information. As you read in the first chapter of this book, the purpose of data analysis is to transform the raw data into information and then convert ...