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- R Programming R Programming: R Data Analysis and Statistics, Book 2, (Paperback)
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152162478
R Programming R Programming: R Data Analysis and Statistics, Book 2, (Paperback)
86% of respondents would recommend this to a friend
Preces #:
152162478
€ 30
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R Programming: Data Analysis and Statistics is a beginner-friendly book that covers everything from the basics to more complex problems.
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What Stands Out
Comprehensive Guide
Offers an in-depth exploration of R programming, covering essential data analysis techniques and statistical concepts suited for both beginners and advanced users.
Practical Examples
Incorporates real-world case studies and practical examples, helping readers apply R programming skills effectively for data analysis and interpretation.
User-Friendly Format
Designed in a paperback format for easy reading and reference, making it convenient for learners to explore R programming at their own pace.
Produkta informācija
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | May, 2023 |
| Pages | 172 |
| Subgenre | Programming |
| Series title | R Programming |
| Number in series | 2 |
| Edition | 1 |
| Publisher | Ladoo Publishing LLC |
| Original languages | English |
| Language | English |
| Is collectible | N |
| Retail packaging | Single Piece |
| Assembled product height | 9 in |
| Assembled product weight | 0.52 lb (240 grams) |
| Bisac subject heading | Computers |
Who Should Buy?
-
Data Analysts
Ideal for professionals looking to enhance their skills in data analysis using R programming effectively.
-
Students
Great resource for university students studying statistics or data science who need a practical guide to R.
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Beginner Programmers
Perfect for beginners wanting to learn R, offering clear instructions and examples for foundational understanding.
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Advanced Users
Not suitable for experienced programmers who require in-depth or advanced programming techniques in R.
PRODUKTA APRAKSTS
R Programming R Programming: R Data Analysis and Statistics, Book 2, (Paperback)
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Andy Vickler All Books Editorial Review
R Programming: R Data Analysis and Statistics, Book 2, (Paperback) offers a comprehensive insight into the world of data analysis using R, making it an essential resource for anyone interested in computing and statistics. This non-fiction book contains 172 pages of valuable content published in May 2023 by Ladoo Publishing LLC. Readers will appreciate the structured approach to programming and data interpretation, along with its user-friendly layout that enhances learning. As part of the R Programming series, it caters to both beginners and intermediate users, fostering a deeper understanding of statistical concepts and their applications.
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Pros
- Comprehensive resource for data analysis
- User-friendly layout for effective learning
- Ideal for beginners and intermediates
- Part of a structured programming series
- Well-focused on practical applications
Mīnusi
- Limited to computing and programming topics
Product Price History
Svarīga informācija
- Ierobežojumi: attiecībā uz produktiem, kas tiek nosūtīti starptautiski, lūdzu, ņemiet vērā, ka jebkura ražotāja garantija var nebūt derīga; ražotāja servisa iespējas var nebūt pieejamas; produktu rokasgrāmatas, instrukcijas un drošības brīdinājumi var nebūt galamērķa valsts valodās; produkti (un pavadošie materiāli) var nebūt izstrādāti saskaņā ar galamērķa valsts standartiem, specifikācijām un marķēšanas prasībām; un produkti var neatbilst galamērķa valsts spriegumam un citiem elektriskajiem standartiem (ja nepieciešams, nepieciešams adapteris vai pārveidotājs). Par to, lai produktu varētu likumīgi ievest galamērķa valstī, ir atbildīgs saņēmējs. Pasūtot no Ubuy vai tā saistītajiem uzņēmumiem, saņēmējs ir ierakstu importētājs, un viņam jāievēro visi galamērķa valsts tiesību akti un noteikumi.
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€ 30
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Funkcijas un priekšrocības
- Beginner-friendly approach to statistical computing.
- Covers basics and complex topics in R programming.
- No prior statistical knowledge required.
- Includes data manipulation and visualization techniques.
- Ideal for both beginners and advanced programmers.
- Learn to analyze large datasets effectively.
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