Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Birmingham
Packt Publishing, Limited
2023
|
| Subjects: | |
| Links: | https://learning.oreilly.com/library/view/-/9781803235400/?ar |
| Summary: | Take your data wrangling skills to the next level by gaining a deep understanding of tidyverse libraries and effectively prepare your data for impressive analysis Purchase of the print or Kindle book includes a free PDF eBook Key Features Explore state-of-the-art libraries for data wrangling in R and learn to prepare your data for analysis Find out how to work with different data types such as strings, numbers, date, and time Build your first model and visualize data with ease through advanced plot types and with ggplot2 Book Description In this information era, where large volumes of data are being generated every day, companies want to get a better grip on it to perform more efficiently than before. This is where skillful data analysts and data scientists come into play, wrangling and exploring data to generate valuable business insights. In order to do that, you'll need plenty of tools that enable you to extract the most useful knowledge from data. Data Wrangling with R will help you to gain a deep understanding of ways to wrangle and prepare datasets for exploration, analysis, and modeling. This data book enables you to get your data ready for more optimized analyses, develop your first data model, and perform effective data visualization. The book begins by teaching you how to load and explore datasets. Then, you'll get to grips with the modern concepts and tools of data wrangling. As data wrangling and visualization are intrinsically connected, you'll go over best practices to plot data and extract insights from it. The chapters are designed in a way to help you learn all about modeling, as you will go through the construction of a data science project from end to end, and become familiar with the built-in RStudio, including an application built with Shiny dashboards. By the end of this book, you'll have learned how to create your first data model and build an application with Shiny in R. What you will learn Discover how to load datasets and explore data in R Work with different types of variables in datasets Create basic and advanced visualizations Find out how to build your first data model Create graphics using ggplot2 in a step-by-step way in Microsoft Power BI Get familiarized with building an application in R with Shiny Who this book is for If you are a professional data analyst, data scientist, or beginner who wants to learn more about data wrangling, this book is for you. Familiarity with the basic concepts of R programming or any other object-oriented programming language will help you to grasp the concepts taught in this book. Data analysts looking to improve their data manipulation and visualization skills will also benefit immensely from this book. |
| Item Description: | Description based upon print version of record |
| Physical Description: | 1 Online-Ressource (385 p.) |
| ISBN: | 1803237651 9781803237657 |
Staff View
MARC
| LEADER | 00000cam a22000002c 4500 | ||
|---|---|---|---|
| 001 | ZDB-30-ORH-089971493 | ||
| 003 | DE-627-1 | ||
| 005 | 20240228121921.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 230327s2023 xx |||||o 00| ||eng c | ||
| 020 | |a 1803237651 |9 1-80323-765-1 | ||
| 020 | |a 9781803237657 |c electronic bk. |9 978-1-80323-765-7 | ||
| 035 | |a (DE-627-1)089971493 | ||
| 035 | |a (DE-599)KEP089971493 | ||
| 035 | |a (ORHE)9781803235400 | ||
| 035 | |a (DE-627-1)089971493 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 082 | 0 | |a 006.3/12 |2 23/eng/20230301 | |
| 100 | 1 | |a Santos, Gustavo R. |e VerfasserIn |4 aut | |
| 245 | 1 | 0 | |a Data Wrangling with R |b Load, Explore, Transform and Visualize Data for Modeling with Tidyverse Libraries |
| 264 | 1 | |a Birmingham |b Packt Publishing, Limited |c 2023 | |
| 300 | |a 1 Online-Ressource (385 p.) | ||
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Description based upon print version of record | ||
| 520 | |a Take your data wrangling skills to the next level by gaining a deep understanding of tidyverse libraries and effectively prepare your data for impressive analysis Purchase of the print or Kindle book includes a free PDF eBook Key Features Explore state-of-the-art libraries for data wrangling in R and learn to prepare your data for analysis Find out how to work with different data types such as strings, numbers, date, and time Build your first model and visualize data with ease through advanced plot types and with ggplot2 Book Description In this information era, where large volumes of data are being generated every day, companies want to get a better grip on it to perform more efficiently than before. This is where skillful data analysts and data scientists come into play, wrangling and exploring data to generate valuable business insights. In order to do that, you'll need plenty of tools that enable you to extract the most useful knowledge from data. Data Wrangling with R will help you to gain a deep understanding of ways to wrangle and prepare datasets for exploration, analysis, and modeling. This data book enables you to get your data ready for more optimized analyses, develop your first data model, and perform effective data visualization. The book begins by teaching you how to load and explore datasets. Then, you'll get to grips with the modern concepts and tools of data wrangling. As data wrangling and visualization are intrinsically connected, you'll go over best practices to plot data and extract insights from it. The chapters are designed in a way to help you learn all about modeling, as you will go through the construction of a data science project from end to end, and become familiar with the built-in RStudio, including an application built with Shiny dashboards. By the end of this book, you'll have learned how to create your first data model and build an application with Shiny in R. What you will learn Discover how to load datasets and explore data in R Work with different types of variables in datasets Create basic and advanced visualizations Find out how to build your first data model Create graphics using ggplot2 in a step-by-step way in Microsoft Power BI Get familiarized with building an application in R with Shiny Who this book is for If you are a professional data analyst, data scientist, or beginner who wants to learn more about data wrangling, this book is for you. Familiarity with the basic concepts of R programming or any other object-oriented programming language will help you to grasp the concepts taught in this book. Data analysts looking to improve their data manipulation and visualization skills will also benefit immensely from this book. | ||
| 650 | 0 | |a Data mining | |
| 650 | 0 | |a R (Computer program language) | |
| 650 | 4 | |a Exploration de données (Informatique) | |
| 650 | 4 | |a R (Langage de programmation) | |
| 650 | 4 | |a Data mining | |
| 650 | 4 | |a R (Computer program language) | |
| 966 | 4 | 0 | |l DE-91 |p ZDB-30-ORH |q TUM_PDA_ORH |u https://learning.oreilly.com/library/view/-/9781803235400/?ar |m X:ORHE |x Aggregator |z lizenzpflichtig |3 Volltext |
| 912 | |a ZDB-30-ORH | ||
| 912 | |a ZDB-30-ORH | ||
| 951 | |a BO | ||
| 912 | |a ZDB-30-ORH | ||
| 049 | |a DE-91 | ||
Record in the Search Index
| DE-BY-TUM_katkey | ZDB-30-ORH-089971493 |
|---|---|
| _version_ | 1835903131879211008 |
| adam_text | |
| any_adam_object | |
| author | Santos, Gustavo R. |
| author_facet | Santos, Gustavo R. |
| author_role | aut |
| author_sort | Santos, Gustavo R. |
| author_variant | g r s gr grs |
| building | Verbundindex |
| bvnumber | localTUM |
| collection | ZDB-30-ORH |
| ctrlnum | (DE-627-1)089971493 (DE-599)KEP089971493 (ORHE)9781803235400 |
| dewey-full | 006.3/12 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3/12 |
| dewey-search | 006.3/12 |
| dewey-sort | 16.3 212 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>04173cam a22004212c 4500</leader><controlfield tag="001">ZDB-30-ORH-089971493</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20240228121921.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230327s2023 xx |||||o 00| ||eng c</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1803237651</subfield><subfield code="9">1-80323-765-1</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781803237657</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">978-1-80323-765-7</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)089971493</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP089971493</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ORHE)9781803235400</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)089971493</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">006.3/12</subfield><subfield code="2">23/eng/20230301</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Santos, Gustavo R.</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Data Wrangling with R</subfield><subfield code="b">Load, Explore, Transform and Visualize Data for Modeling with Tidyverse Libraries</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Birmingham</subfield><subfield code="b">Packt Publishing, Limited</subfield><subfield code="c">2023</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (385 p.)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Description based upon print version of record</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Take your data wrangling skills to the next level by gaining a deep understanding of tidyverse libraries and effectively prepare your data for impressive analysis Purchase of the print or Kindle book includes a free PDF eBook Key Features Explore state-of-the-art libraries for data wrangling in R and learn to prepare your data for analysis Find out how to work with different data types such as strings, numbers, date, and time Build your first model and visualize data with ease through advanced plot types and with ggplot2 Book Description In this information era, where large volumes of data are being generated every day, companies want to get a better grip on it to perform more efficiently than before. This is where skillful data analysts and data scientists come into play, wrangling and exploring data to generate valuable business insights. In order to do that, you'll need plenty of tools that enable you to extract the most useful knowledge from data. Data Wrangling with R will help you to gain a deep understanding of ways to wrangle and prepare datasets for exploration, analysis, and modeling. This data book enables you to get your data ready for more optimized analyses, develop your first data model, and perform effective data visualization. The book begins by teaching you how to load and explore datasets. Then, you'll get to grips with the modern concepts and tools of data wrangling. As data wrangling and visualization are intrinsically connected, you'll go over best practices to plot data and extract insights from it. The chapters are designed in a way to help you learn all about modeling, as you will go through the construction of a data science project from end to end, and become familiar with the built-in RStudio, including an application built with Shiny dashboards. By the end of this book, you'll have learned how to create your first data model and build an application with Shiny in R. What you will learn Discover how to load datasets and explore data in R Work with different types of variables in datasets Create basic and advanced visualizations Find out how to build your first data model Create graphics using ggplot2 in a step-by-step way in Microsoft Power BI Get familiarized with building an application in R with Shiny Who this book is for If you are a professional data analyst, data scientist, or beginner who wants to learn more about data wrangling, this book is for you. Familiarity with the basic concepts of R programming or any other object-oriented programming language will help you to grasp the concepts taught in this book. Data analysts looking to improve their data manipulation and visualization skills will also benefit immensely from this book.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Data mining</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">R (Computer program language)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Exploration de données (Informatique)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">R (Langage de programmation)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Data mining</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">R (Computer program language)</subfield></datafield><datafield tag="966" ind1="4" ind2="0"><subfield code="l">DE-91</subfield><subfield code="p">ZDB-30-ORH</subfield><subfield code="q">TUM_PDA_ORH</subfield><subfield code="u">https://learning.oreilly.com/library/view/-/9781803235400/?ar</subfield><subfield code="m">X:ORHE</subfield><subfield code="x">Aggregator</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">BO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91</subfield></datafield></record></collection> |
| id | ZDB-30-ORH-089971493 |
| illustrated | Not Illustrated |
| indexdate | 2025-06-25T12:14:24Z |
| institution | BVB |
| isbn | 1803237651 9781803237657 |
| language | English |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM |
| owner_facet | DE-91 DE-BY-TUM |
| physical | 1 Online-Ressource (385 p.) |
| psigel | ZDB-30-ORH TUM_PDA_ORH ZDB-30-ORH |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| publisher | Packt Publishing, Limited |
| record_format | marc |
| spelling | Santos, Gustavo R. VerfasserIn aut Data Wrangling with R Load, Explore, Transform and Visualize Data for Modeling with Tidyverse Libraries Birmingham Packt Publishing, Limited 2023 1 Online-Ressource (385 p.) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Description based upon print version of record Take your data wrangling skills to the next level by gaining a deep understanding of tidyverse libraries and effectively prepare your data for impressive analysis Purchase of the print or Kindle book includes a free PDF eBook Key Features Explore state-of-the-art libraries for data wrangling in R and learn to prepare your data for analysis Find out how to work with different data types such as strings, numbers, date, and time Build your first model and visualize data with ease through advanced plot types and with ggplot2 Book Description In this information era, where large volumes of data are being generated every day, companies want to get a better grip on it to perform more efficiently than before. This is where skillful data analysts and data scientists come into play, wrangling and exploring data to generate valuable business insights. In order to do that, you'll need plenty of tools that enable you to extract the most useful knowledge from data. Data Wrangling with R will help you to gain a deep understanding of ways to wrangle and prepare datasets for exploration, analysis, and modeling. This data book enables you to get your data ready for more optimized analyses, develop your first data model, and perform effective data visualization. The book begins by teaching you how to load and explore datasets. Then, you'll get to grips with the modern concepts and tools of data wrangling. As data wrangling and visualization are intrinsically connected, you'll go over best practices to plot data and extract insights from it. The chapters are designed in a way to help you learn all about modeling, as you will go through the construction of a data science project from end to end, and become familiar with the built-in RStudio, including an application built with Shiny dashboards. By the end of this book, you'll have learned how to create your first data model and build an application with Shiny in R. What you will learn Discover how to load datasets and explore data in R Work with different types of variables in datasets Create basic and advanced visualizations Find out how to build your first data model Create graphics using ggplot2 in a step-by-step way in Microsoft Power BI Get familiarized with building an application in R with Shiny Who this book is for If you are a professional data analyst, data scientist, or beginner who wants to learn more about data wrangling, this book is for you. Familiarity with the basic concepts of R programming or any other object-oriented programming language will help you to grasp the concepts taught in this book. Data analysts looking to improve their data manipulation and visualization skills will also benefit immensely from this book. Data mining R (Computer program language) Exploration de données (Informatique) R (Langage de programmation) |
| spellingShingle | Santos, Gustavo R. Data Wrangling with R Load, Explore, Transform and Visualize Data for Modeling with Tidyverse Libraries Data mining R (Computer program language) Exploration de données (Informatique) R (Langage de programmation) |
| title | Data Wrangling with R Load, Explore, Transform and Visualize Data for Modeling with Tidyverse Libraries |
| title_auth | Data Wrangling with R Load, Explore, Transform and Visualize Data for Modeling with Tidyverse Libraries |
| title_exact_search | Data Wrangling with R Load, Explore, Transform and Visualize Data for Modeling with Tidyverse Libraries |
| title_full | Data Wrangling with R Load, Explore, Transform and Visualize Data for Modeling with Tidyverse Libraries |
| title_fullStr | Data Wrangling with R Load, Explore, Transform and Visualize Data for Modeling with Tidyverse Libraries |
| title_full_unstemmed | Data Wrangling with R Load, Explore, Transform and Visualize Data for Modeling with Tidyverse Libraries |
| title_short | Data Wrangling with R |
| title_sort | data wrangling with r load explore transform and visualize data for modeling with tidyverse libraries |
| title_sub | Load, Explore, Transform and Visualize Data for Modeling with Tidyverse Libraries |
| topic | Data mining R (Computer program language) Exploration de données (Informatique) R (Langage de programmation) |
| topic_facet | Data mining R (Computer program language) Exploration de données (Informatique) R (Langage de programmation) |
| work_keys_str_mv | AT santosgustavor datawranglingwithrloadexploretransformandvisualizedataformodelingwithtidyverselibraries |