Python Data Analytics: With Pandas, NumPy, and Matplotlib

© Fabio Nelli 2018

Fabio NelliPython Data Analyticshttps://doi.org/10.1007/978-1-4842-3913-1_10

10. An Example— Meteorological Data

Fabio Nelli¹ 

(1)

Rome, Italy

 

One type of data that’s easier to find on the net is meteorological data. Many sites provide historical data on many meteorological parameters such as pressure, temperature, humidity, rain, etc. 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 it into knowledge.

In this chapter, you will see a simple example of how to use ...