The Data Wrangling Workshop
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The Data Wrangling Workshop
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Author : Brian Lipp
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-07-29
The Data Wrangling Workshop written by Brian Lipp and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-29 with Computers categories.
A beginner's guide to simplifying Extract, Transform, Load (ETL) processes with the help of hands-on tips, tricks, and best practices, in a fun and interactive way Key FeaturesExplore data wrangling with the help of real-world examples and business use casesStudy various ways to extract the most value from your data in minimal timeBoost your knowledge with bonus topics, such as random data generation and data integrity checksBook Description While a huge amount of data is readily available to us, it is not useful in its raw form. For data to be meaningful, it must be curated and refined. If you're a beginner, then The Data Wrangling Workshop will help to break down the process for you. You'll start with the basics and build your knowledge, progressing from the core aspects behind data wrangling, to using the most popular tools and techniques. This book starts by showing you how to work with data structures using Python. Through examples and activities, you'll understand why you should stay away from traditional methods of data cleaning used in other languages and take advantage of the specialized pre-built routines in Python. Later, you'll learn how to use the same Python backend to extract and transform data from an array of sources, including the internet, large database vaults, and Excel financial tables. To help you prepare for more challenging scenarios, the book teaches you how to handle missing or incorrect data, and reformat it based on the requirements from your downstream analytics tool. By the end of this book, you will have developed a solid understanding of how to perform data wrangling with Python, and learned several techniques and best practices to extract, clean, transform, and format your data efficiently, from a diverse array of sources. What you will learnGet to grips with the fundamentals of data wranglingUnderstand how to model data with random data generation and data integrity checksDiscover how to examine data with descriptive statistics and plotting techniquesExplore how to search and retrieve information with regular expressionsDelve into commonly-used Python data science librariesBecome well-versed with how to handle and compensate for missing dataWho this book is for The Data Wrangling Workshop is designed for developers, data analysts, and business analysts who are looking to pursue a career as a full-fledged data scientist or analytics expert. Although this book is for beginners who want to start data wrangling, prior working knowledge of the Python programming language is necessary to easily grasp the concepts covered here. It will also help to have a rudimentary knowledge of relational databases and SQL.
The Data Wrangling Workshop Second Edition
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Author : Brian Lipp
language : en
Publisher:
Release Date : 2020
The Data Wrangling Workshop Second Edition written by Brian Lipp and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.
A beginner's guide to simplifying Extract, Transform, Load (ETL) processes with the help of hands-on tips, tricks, and best practices, in a fun and interactive way Key Features Explore data wrangling with the help of real-world examples and business use cases Study various ways to extract the most value from your data in minimal time Boost your knowledge with bonus topics, such as random data generation and data integrity checks Book Description While a huge amount of data is readily available to us, it is not useful in its raw form. For data to be meaningful, it must be curated and refined. If you're a beginner, then The Data Wrangling Workshop will help to break down the process for you. You'll start with the basics and build your knowledge, progressing from the core aspects behind data wrangling, to using the most popular tools and techniques. This book starts by showing you how to work with data structures using Python. Through examples and activities, you'll understand why you should stay away from traditional methods of data cleaning used in other languages and take advantage of the specialized pre-built routines in Python. Later, you'll learn how to use the same Python backend to extract and transform data from an array of sources, including the internet, large database vaults, and Excel financial tables. To help you prepare for more challenging scenarios, the book teaches you how to handle missing or incorrect data, and reformat it based on the requirements from your downstream analytics tool. By the end of this book, you will have developed a solid understanding of how to perform data wrangling with Python, and learned several techniques and best practices to extract, clean, transform, and format your data efficiently, from a diverse array of sources. What you will learn Get to grips with the fundamentals of data wrangling Understand how to model data with random data generation and data integrity checks Discover how to examine data with descriptive statistics and plotting techniques Explore how to search and retrieve information with regular expressions Delve into commonly-used Python data science libraries Become well-versed with how to handle and compensate for missing data Who this book is for The Data Wrangling Workshop is designed for developers, data analysts, and business analysts who are looking to pursue a career as a full-fledged data scientist or analytics expert. Although this book is for beginners who want to start data ...
The Data Visualization Workshop
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Author : Mario Dobler
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-07-28
The Data Visualization Workshop written by Mario Dobler and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-28 with Computers categories.
Explore a modern approach to visualizing data with Python and transform large real-world datasets into expressive visual graphics using this beginner-friendly workshop Key FeaturesDiscover the essential tools and methods of data visualizationLearn to use standard Python plotting libraries such as Matplotlib and SeabornGain insights into the visualization techniques of big companiesBook Description Do you want to transform data into captivating images? Do you want to make it easy for your audience to process and understand the patterns, trends, and relationships hidden within your data? The Data Visualization Workshop will guide you through the world of data visualization and help you to unlock simple secrets for transforming data into meaningful visuals with the help of exciting exercises and activities. Starting with an introduction to data visualization, this book shows you how to first prepare raw data for visualization using NumPy and pandas operations. As you progress, you'll use plotting techniques, such as comparison and distribution, to identify relationships and similarities between datasets. You'll then work through practical exercises to simplify the process of creating visualizations using Python plotting libraries such as Matplotlib and Seaborn. If you've ever wondered how popular companies like Uber and Airbnb use geoplotlib for geographical visualizations, this book has got you covered, helping you analyze and understand the process effectively. Finally, you'll use the Bokeh library to create dynamic visualizations that can be integrated into any web page. By the end of this workshop, you'll have learned how to present engaging mission-critical insights by creating impactful visualizations with real-world data. What you will learnUnderstand the importance of data visualization in data scienceImplement NumPy and pandas operations on real-life datasetsCreate captivating data visualizations using plotting librariesUse advanced techniques to plot geospatial data on a mapIntegrate interactive visualizations to a webpageVisualize stock prices with Bokeh and analyze Airbnb data with MatplotlibWho this book is for The Data Visualization Workshop is for beginners who want to learn data visualization, as well as developers and data scientists who are looking to enrich their practical data science skills. Prior knowledge of data analytics, data science, and visualization is not mandatory. Knowledge of Python basics and high-school-level math will help you grasp the concepts covered in this data visualization book more quickly and effectively.
The Historian S Workshop
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Author : L. Perry Curtis (Jr.)
language : en
Publisher:
Release Date : 1970
The Historian S Workshop written by L. Perry Curtis (Jr.) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1970 with Biography & Autobiography categories.
Proceedings Of The Workshop On Space Law In The Twenty First Century
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Author : United Nations. Office for Outer Space Affairs
language : en
Publisher: United Nations Publications
Release Date : 2000
Proceedings Of The Workshop On Space Law In The Twenty First Century written by United Nations. Office for Outer Space Affairs and has been published by United Nations Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Law categories.
The Data Visualization Workshop Second Edition
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Author : Mario Döbler
language : en
Publisher:
Release Date : 2020-02-27
The Data Visualization Workshop Second Edition written by Mario Döbler and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-27 with Computers categories.
Proceedings Of The International Workshop On Community Networking
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Author :
language : en
Publisher:
Release Date : 1994
Proceedings Of The International Workshop On Community Networking written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Computer networks categories.
Ralph M Pearson S Design Workshop Courses By Mail
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Author : Ralph M. Pearson
language : en
Publisher:
Release Date : 1939
Ralph M Pearson S Design Workshop Courses By Mail written by Ralph M. Pearson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1939 with Art criticism categories.
Report Of The Namibia Media Workshop On Covering Gender Violence
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Author :
language : en
Publisher:
Release Date : 2002
Report Of The Namibia Media Workshop On Covering Gender Violence written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Family violence categories.
Principles Of Data Wrangling
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Author : Tye Rattenbury
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2017-06-29
Principles Of Data Wrangling written by Tye Rattenbury and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-29 with Computers categories.
A key task that any aspiring data-driven organization needs to learn is data wrangling, the process of converting raw data into something truly useful. This practical guide provides business analysts with an overview of various data wrangling techniques and tools, and puts the practice of data wrangling into context by asking, "What are you trying to do and why?" Wrangling data consumes roughly 50-80% of an analyst’s time before any kind of analysis is possible. Written by key executives at Trifacta, this book walks you through the wrangling process by exploring several factors—time, granularity, scope, and structure—that you need to consider as you begin to work with data. You’ll learn a shared language and a comprehensive understanding of data wrangling, with an emphasis on recent agile analytic processes used by many of today’s data-driven organizations. Appreciate the importance—and the satisfaction—of wrangling data the right way. Understand what kind of data is available Choose which data to use and at what level of detail Meaningfully combine multiple sources of data Decide how to distill the results to a size and shape that can drive downstream analysis