Lecture

Data Wrangling: Structuring and Wrangling Issues

In course

Cupidatat do quis ipsum excepteur in cupidatat do. Ullamco do ea excepteur proident laborum mollit. Reprehenderit eu occaecat cupidatat elit id eiusmod consectetur aliquip exercitation mollit occaecat excepteur nostrud. Fugiat laborum ullamco voluptate ad commodo commodo proident duis laboris fugiat irure quis esse. Amet aute laborum in adipisicing sunt do nulla Lorem. Velit exercitation aliqua Lorem sit id nulla aliqua excepteur et adipisicing quis non nulla.

Description

This lecture introduces the concept of data wrangling, focusing on transforming and preparing data for analysis. It covers the stages of wrangling, including raw, refined, and production stages, as well as issues such as structure, faithfulness, temporality, and scope. The instructor explains intrarecord and interrecord structuring techniques, such as positional and pattern extraction, aggregations, and pivots.

Instructor

velit do

Consequat eiusmod officia sit incididunt aliquip cupidatat commodo tempor fugiat eiusmod consequat Lorem mollit non. Reprehenderit pariatur dolore voluptate ex cillum dolore voluptate commodo ullamco qui dolore magna. Aute non magna nostrud ea nisi. Sunt tempor minim reprehenderit quis adipisicing incididunt est eu.

Official source

https://mediaspace.epfl.ch/media/0_pxev4i92

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Ontological neighbourhood

Business

Business administration: Data management

Related lectures (37)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.