The Data Wrangling Workshop: Create your own actionable insights using data from multiple raw sources
bA 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/bh4Key Features/h4ulliExplore data wrangling with the help of real-world examples and business use cases/liliStudy various ways to...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham
Packt Publishing Limited
2020
|
| Ausgabe: | 2 |
| Schlagworte: | |
| Zusammenfassung: | bA 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/bh4Key Features/h4ulliExplore data wrangling with the help of real-world examples and business use cases/liliStudy various ways to extract the most value from your data in minimal time/liliBoost your knowledge with bonus topics, such as random data generation and data integrity checks/li/ulh4Book Description/h4While 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, |
| Beschreibung: | 1 Online-Ressource (576 Seiten) |
| ISBN: | 9781838988029 |
Internformat
MARC
| LEADER | 00000nmm a2200000zc 4500 | ||
|---|---|---|---|
| 001 | BV047070178 | ||
| 003 | DE-604 | ||
| 005 | 00000000000000.0 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 201218s2020 |||| o||u| ||||||eng d | ||
| 020 | |a 9781838988029 |9 978-1-83898-802-9 | ||
| 035 | |a (ZDB-5-WPSE)9781838988029576 | ||
| 035 | |a (OCoLC)1227480779 | ||
| 035 | |a (DE-599)BVBBV047070178 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 100 | 1 | |a Lipp, Brian |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a The Data Wrangling Workshop |b Create your own actionable insights using data from multiple raw sources |c Lipp, Brian |
| 250 | |a 2 | ||
| 264 | 1 | |a Birmingham |b Packt Publishing Limited |c 2020 | |
| 300 | |a 1 Online-Ressource (576 Seiten) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 520 | |a bA 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/bh4Key Features/h4ulliExplore data wrangling with the help of real-world examples and business use cases/liliStudy various ways to extract the most value from your data in minimal time/liliBoost your knowledge with bonus topics, such as random data generation and data integrity checks/li/ulh4Book Description/h4While 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. | ||
| 520 | |a 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. | ||
| 520 | |a 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, | ||
| 650 | 4 | |a COMPUTERS / Data Processing | |
| 650 | 4 | |a COMPUTERS / Data Visualization | |
| 700 | 1 | |a Roychowdhury, Shubhadeep |e Sonstige |4 oth | |
| 700 | 1 | |a Sarkar, Dr. Tirthajyoti |e Sonstige |4 oth | |
| 912 | |a ZDB-5-WPSE | ||
| 999 | |a oai:aleph.bib-bvb.de:BVB01-032477204 | ||
Datensatz im Suchindex
| _version_ | 1804182072759156736 |
|---|---|
| adam_txt | |
| any_adam_object | |
| any_adam_object_boolean | |
| author | Lipp, Brian |
| author_facet | Lipp, Brian |
| author_role | aut |
| author_sort | Lipp, Brian |
| author_variant | b l bl |
| building | Verbundindex |
| bvnumber | BV047070178 |
| collection | ZDB-5-WPSE |
| ctrlnum | (ZDB-5-WPSE)9781838988029576 (OCoLC)1227480779 (DE-599)BVBBV047070178 |
| edition | 2 |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02904nmm a2200361zc 4500</leader><controlfield tag="001">BV047070178</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">201218s2020 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781838988029</subfield><subfield code="9">978-1-83898-802-9</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-5-WPSE)9781838988029576</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1227480779</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV047070178</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Lipp, Brian</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">The Data Wrangling Workshop</subfield><subfield code="b">Create your own actionable insights using data from multiple raw sources</subfield><subfield code="c">Lipp, Brian</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">2</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Birmingham</subfield><subfield code="b">Packt Publishing Limited</subfield><subfield code="c">2020</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (576 Seiten)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">bA 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/bh4Key Features/h4ulliExplore data wrangling with the help of real-world examples and business use cases/liliStudy various ways to extract the most value from your data in minimal time/liliBoost your knowledge with bonus topics, such as random data generation and data integrity checks/li/ulh4Book Description/h4While 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. </subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">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. </subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">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, </subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">COMPUTERS / Data Processing</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">COMPUTERS / Data Visualization</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Roychowdhury, Shubhadeep</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Sarkar, Dr. Tirthajyoti</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-5-WPSE</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-032477204</subfield></datafield></record></collection> |
| id | DE-604.BV047070178 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T16:13:34Z |
| indexdate | 2024-07-10T09:01:44Z |
| institution | BVB |
| isbn | 9781838988029 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032477204 |
| oclc_num | 1227480779 |
| open_access_boolean | |
| physical | 1 Online-Ressource (576 Seiten) |
| psigel | ZDB-5-WPSE |
| publishDate | 2020 |
| publishDateSearch | 2020 |
| publishDateSort | 2020 |
| publisher | Packt Publishing Limited |
| record_format | marc |
| spelling | Lipp, Brian Verfasser aut The Data Wrangling Workshop Create your own actionable insights using data from multiple raw sources Lipp, Brian 2 Birmingham Packt Publishing Limited 2020 1 Online-Ressource (576 Seiten) txt rdacontent c rdamedia cr rdacarrier bA 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/bh4Key Features/h4ulliExplore data wrangling with the help of real-world examples and business use cases/liliStudy various ways to extract the most value from your data in minimal time/liliBoost your knowledge with bonus topics, such as random data generation and data integrity checks/li/ulh4Book Description/h4While 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, COMPUTERS / Data Processing COMPUTERS / Data Visualization Roychowdhury, Shubhadeep Sonstige oth Sarkar, Dr. Tirthajyoti Sonstige oth |
| spellingShingle | Lipp, Brian The Data Wrangling Workshop Create your own actionable insights using data from multiple raw sources COMPUTERS / Data Processing COMPUTERS / Data Visualization |
| title | The Data Wrangling Workshop Create your own actionable insights using data from multiple raw sources |
| title_auth | The Data Wrangling Workshop Create your own actionable insights using data from multiple raw sources |
| title_exact_search | The Data Wrangling Workshop Create your own actionable insights using data from multiple raw sources |
| title_exact_search_txtP | The Data Wrangling Workshop Create your own actionable insights using data from multiple raw sources |
| title_full | The Data Wrangling Workshop Create your own actionable insights using data from multiple raw sources Lipp, Brian |
| title_fullStr | The Data Wrangling Workshop Create your own actionable insights using data from multiple raw sources Lipp, Brian |
| title_full_unstemmed | The Data Wrangling Workshop Create your own actionable insights using data from multiple raw sources Lipp, Brian |
| title_short | The Data Wrangling Workshop |
| title_sort | the data wrangling workshop create your own actionable insights using data from multiple raw sources |
| title_sub | Create your own actionable insights using data from multiple raw sources |
| topic | COMPUTERS / Data Processing COMPUTERS / Data Visualization |
| topic_facet | COMPUTERS / Data Processing COMPUTERS / Data Visualization |
| work_keys_str_mv | AT lippbrian thedatawranglingworkshopcreateyourownactionableinsightsusingdatafrommultiplerawsources AT roychowdhuryshubhadeep thedatawranglingworkshopcreateyourownactionableinsightsusingdatafrommultiplerawsources AT sarkardrtirthajyoti thedatawranglingworkshopcreateyourownactionableinsightsusingdatafrommultiplerawsources |