You're reading from Data Wrangling with SQL

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Published inJul 2023

PublisherPackt

ISBN-139781837630028

Edition1st Edition

Concepts

Data Engineering

Authors (2):

Raghav Kandarpa

Shivangi Saxena

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Lead and lag for time series analysis

As we have already read in the previous chapters, LEAD and LAG functions are used to refer to the previous or next row in the dataset for a specific column. Let’s start understanding this with an example.

Case scenario

Imagine you have a table that tracks the number of sales made by a company each month, as follows:

...

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Data Wrangling with SQL

Published in: Jul 2023Publisher: PacktISBN-13: 9781837630028

Authors (2)

Raghav Kandarpa

Raghav Kandarpa is an experienced Data Scientist in Finance and logistics industry with expertise in SQL, Python, Building Machine Learning Models, Financial Data Modelling, and Statistical Analysis. He holds a Masters' degree in Business Analytics specializing in Data Science from the University of Texas at Dallas.
Read more about Raghav Kandarpa

Shivangi Saxena

Shivangi Saxena is an experienced BI Engineer with proficiency in SQL, Data Visualization, and Statistical Analysis. She holds a master's degree in Information Technology and Management from the University of Texas at Dallas. She has several years of experience building several BI tools and products using SQL and BI reporting tools which has helped stakeholders to get visibility to the right data points
Read more about Shivangi Saxena

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You're reading from Data Wrangling with SQL

Lead and lag for time series analysis

Case scenario

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Authors (2)

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