Saved in:
Main Author: | |
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Format: | Electronic eBook |
Language: | English |
Published: |
Birmingham
Packt Publishing, Limited
2020
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Subjects: | |
Links: | https://learning.oreilly.com/library/view/-/9781800565661/?ar |
Summary: | The book shows you how to view data from multiple perspectives, including data frame and column attributes. You will cover common and not-so-common challenges that are faced while cleaning messy data for complex situations. You will learn to manipulate data and get them down to a form that can be useful for making the right decisions. |
Item Description: | Description based upon print version of record |
Physical Description: | 1 Online-Ressource (437 p.) |
ISBN: | 1800564597 9781800564596 |
Staff View
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650 | 0 | |a Analysis of variance | |
650 | 0 | |a Database management | |
650 | 0 | |a Data mining | |
650 | 0 | |a Python (Computer program language) | |
650 | 2 | |a Analysis of Variance | |
650 | 2 | |a Data Mining | |
650 | 4 | |a Analyse de variance | |
650 | 4 | |a Bases de données ; Gestion | |
650 | 4 | |a Exploration de données (Informatique) | |
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adam_text | |
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dewey-ones | 005 - Computer programming, programs, data, security |
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discipline | Informatik |
format | Electronic eBook |
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id | ZDB-30-ORH-060761547 |
illustrated | Not Illustrated |
indexdate | 2025-06-25T12:14:43Z |
institution | BVB |
isbn | 1800564597 9781800564596 |
language | English |
open_access_boolean | |
owner | DE-91 DE-BY-TUM |
owner_facet | DE-91 DE-BY-TUM |
physical | 1 Online-Ressource (437 p.) |
psigel | ZDB-30-ORH TUM_PDA_ORH ZDB-30-ORH |
publishDate | 2020 |
publishDateSearch | 2020 |
publishDateSort | 2020 |
publisher | Packt Publishing, Limited |
record_format | marc |
spelling | Walker, Michael VerfasserIn aut Python Data Cleaning Cookbook Modern Techniques and Python Tools to Detect and Remove Dirty Data and Extract Key Insights Birmingham Packt Publishing, Limited 2020 1 Online-Ressource (437 p.) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Description based upon print version of record The book shows you how to view data from multiple perspectives, including data frame and column attributes. You will cover common and not-so-common challenges that are faced while cleaning messy data for complex situations. You will learn to manipulate data and get them down to a form that can be useful for making the right decisions. Analysis of variance Database management Data mining Python (Computer program language) Analysis of Variance Data Mining Analyse de variance Bases de données ; Gestion Exploration de données (Informatique) Python (Langage de programmation) 9781800565661 Erscheint auch als Druck-Ausgabe 9781800565661 |
spellingShingle | Walker, Michael Python Data Cleaning Cookbook Modern Techniques and Python Tools to Detect and Remove Dirty Data and Extract Key Insights Analysis of variance Database management Data mining Python (Computer program language) Analysis of Variance Data Mining Analyse de variance Bases de données ; Gestion Exploration de données (Informatique) Python (Langage de programmation) |
title | Python Data Cleaning Cookbook Modern Techniques and Python Tools to Detect and Remove Dirty Data and Extract Key Insights |
title_auth | Python Data Cleaning Cookbook Modern Techniques and Python Tools to Detect and Remove Dirty Data and Extract Key Insights |
title_exact_search | Python Data Cleaning Cookbook Modern Techniques and Python Tools to Detect and Remove Dirty Data and Extract Key Insights |
title_full | Python Data Cleaning Cookbook Modern Techniques and Python Tools to Detect and Remove Dirty Data and Extract Key Insights |
title_fullStr | Python Data Cleaning Cookbook Modern Techniques and Python Tools to Detect and Remove Dirty Data and Extract Key Insights |
title_full_unstemmed | Python Data Cleaning Cookbook Modern Techniques and Python Tools to Detect and Remove Dirty Data and Extract Key Insights |
title_short | Python Data Cleaning Cookbook |
title_sort | python data cleaning cookbook modern techniques and python tools to detect and remove dirty data and extract key insights |
title_sub | Modern Techniques and Python Tools to Detect and Remove Dirty Data and Extract Key Insights |
topic | Analysis of variance Database management Data mining Python (Computer program language) Analysis of Variance Data Mining Analyse de variance Bases de données ; Gestion Exploration de données (Informatique) Python (Langage de programmation) |
topic_facet | Analysis of variance Database management Data mining Python (Computer program language) Analysis of Variance Data Mining Analyse de variance Bases de données ; Gestion Exploration de données (Informatique) Python (Langage de programmation) |
work_keys_str_mv | AT walkermichael pythondatacleaningcookbookmoderntechniquesandpythontoolstodetectandremovedirtydataandextractkeyinsights |