Hands-on Time Series Analysis with Python: From Basics to Bleeding Edge Techniques

© B V Vishwas and Ashish Patel 2020

B. V. Vishwas, A. PATELHands-on Time Series Analysis with Pythonhttps://doi.org/10.1007/978-1-4842-5992-4_2

2. Data Wrangling and Preparation for Time Series

B V Vishwas¹  and Ashish Patel²

(1)

Infosys, Bengaluru, India

(2)

Cygnet Infotech Pvt Ltd, Ahmedabad, India

 

The expression “Garbage in, garbage out” certainly applies when it comes to data science.

Data wrangling is the art of transformation and mapping raw data into valuable information with the help of preprocessing strategies. It aims to provide rich data that can be utilized to gain maximum insights. It comprises operations such as loading, imputing, applying transformations, treating outliers, cleaning, integrating, dealing with inconsistency, reducing dimensionality, ...