You're reading from The Data Wrangling Workshop - Second Edition

Product typeBook

Published inJul 2020

Reading LevelIntermediate

PublisherPackt

ISBN-139781839215001

Edition2nd Edition

Languages

Python

Tools

Jupyter

Concepts

Data Processing

Authors (3):

Brian Lipp

Shubhadeep Roychowdhury

Dr. Tirthajyoti Sarkar

View More author details

Applying Your Knowledge to a Data Wrangling Task

Suppose you are asked the following question:

In India, did the enrollment in primary/secondary/tertiary education increase with the improvement of per capita GDP in the past 15 years? To provide an accurate and analyzed result, machine learning and data visualization techniques will be used by an expert data scientist. The actual modeling and analysis will be done by a senior data scientist, who will use machine learning and data visualization for analysis. As a data wrangling expert, your job will be to acquire and provide a clean dataset that contains educational enrollment and GDP data side by side.

Suppose you have a link for a dataset from the United Nations and you can download the dataset of education (for all the nations around the world). But this dataset has some missing values and, moreover, it does not have any Gross Domestic Product (GDP) information. Someone has also given you another separate CSV file (downloaded...

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The Data Wrangling Workshop - Second Edition

Published in: Jul 2020Publisher: PacktISBN-13: 9781839215001

Authors (3)

Brian Lipp

Brian Lipp is a Technology Polyglot, Engineer, and Solution Architect with a wide skillset in many technology domains. His programming background has ranged from R, Python, and Scala, to Go and Rust development. He has worked on Big Data systems, Data Lakes, data warehouses, and backend software engineering. Brian earned a Master of Science, CSIS from Pace University in 2009. He is currently a Sr. Data Engineer working with large Tech firms to build Data Ecosystems.
Read more about Brian Lipp

Shubhadeep Roychowdhury

Shubhadeep Roychowdhury holds a master's degree in computer science from West Bengal University of Technology and certifications in machine learning from Stanford. He works as a senior software engineer at a Paris-based cybersecurity startup, where he is applying state-of-the-art computer vision and data engineering algorithms and tools to develop cutting-edge products. He often writes about algorithm implementation in Python and similar topics.
Read more about Shubhadeep Roychowdhury

Dr. Tirthajyoti Sarkar

Dr. Tirthajyoti Sarkar works as a senior principal engineer in the semiconductor technology domain, where he applies cutting-edge data science/machine learning techniques for design automation and predictive analytics. He writes regularly about Python programming and data science topics. He holds a Ph.D. from the University of Illinois and certifications in artificial intelligence and machine learning from Stanford and MIT.
Read more about Dr. Tirthajyoti Sarkar

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Applying Your Knowledge to a Data Wrangling Task

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