Cargando…
Hands-On Exploratory Data Analysis with R : Become an Expert in Exploratory Data Analysis Using R Packages.
Hands-On Exploratory Data Analysis with R puts the complete process of exploratory data analysis into a practical demonstration in one nutshell. You will understand the concepts of data analysis right from data ingestion, data cleaning, data manipulation to applying statistical techniques and visual...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham :
Packt Publishing, Limited,
2019.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
| LEADER | 00000cam a2200000Ma 4500 | ||
|---|---|---|---|
| 001 | EBSCO_on1104078460 | ||
| 003 | OCoLC | ||
| 005 | 20231017213018.0 | ||
| 006 | m o d | ||
| 007 | cr cnu---unuuu | ||
| 008 | 190615s2019 enk o 000 0 eng d | ||
| 040 | |a EBLCP |b eng |e pn |c EBLCP |d N$T |d EBLCP |d OCLCF |d OCLCQ |d YDX |d UKMGB |d UKAHL |d OCLCQ |d OCLCO |d OCLCQ | ||
| 015 | |a GBB9E4447 |2 bnb | ||
| 016 | 7 | |a 019436488 |2 Uk | |
| 019 | |a 1104045642 | ||
| 020 | |a 1789802083 | ||
| 020 | |a 9781789802085 |q (electronic bk.) | ||
| 029 | 1 | |a AU@ |b 000066230908 | |
| 029 | 1 | |a CHNEW |b 001059114 | |
| 029 | 1 | |a CHVBK |b 569757177 | |
| 029 | 1 | |a UKMGB |b 019436488 | |
| 029 | 1 | |a AU@ |b 000066030927 | |
| 035 | |a (OCoLC)1104078460 |z (OCoLC)1104045642 | ||
| 037 | |a 9781789802085 |b Packt Publishing | ||
| 050 | 4 | |a QA76.9.D343 | |
| 072 | 7 | |a COM |x 000000 |2 bisacsh | |
| 082 | 0 | 4 | |a 006.3/12 |2 23 |
| 049 | |a UAMI | ||
| 100 | 1 | |a Datar, Radhika. | |
| 245 | 1 | 0 | |a Hands-On Exploratory Data Analysis with R : |b Become an Expert in Exploratory Data Analysis Using R Packages. |
| 260 | |a Birmingham : |b Packt Publishing, Limited, |c 2019. | ||
| 300 | |a 1 online resource (254 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a Cover; Title Page; Copyright and Credits; Dedication; About Packt; Contributors; Table of Contents; Preface; Section 1: Setting Up Data Analysis Environment; Chapter 1: Setting Up Our Data Analysis Environment; Technical requirements; The benefits of EDA across vertical markets; Manipulating data; Examining, cleaning, and filtering data; Visualizing data; Creating data reports; Installing the required R packages and tools; Installing R packages from the Terminal; Installing R packages from inside RStudio; Summary; Chapter 2: Importing Diverse Datasets; Technical requirements | |
| 505 | 8 | |a Converting rectangular data into R with the readr R packagereadr read functions; read_tsv method; read_delim method; read_fwf method; read_table method; read_log method; Reading in Excel data with the readxl R package; Reading in JSON data with the jsonlite R package; Loading the jsonlite package; Getting data into R from web APIs using the httr R package; Getting data into R by scraping the web using the rvest package; Importing data into R from relational databases using the DBI R package; Summary; Chapter 3: Examining, Cleaning, and Filtering; Technical requirements; About the dataset | |
| 505 | 8 | |a Reshaping and tidying up erroneous dataThe gather() function; The unite() function; The separate() function; The spread() function; Manipulating and mutating data; The mutate() function; The group_by() function; The summarize() function; The arrange() function; The glimpse() function; Selecting and filtering data; The select() function; The filter() function; Cleaning and manipulating time series data; Summary; Chapter 4: Visualizing Data Graphically with ggplot2; Technical requirements; Advanced graphics grammar of ggplot2; Data; Layers; Scales; The coordinate system; Faceting; Theme | |
| 505 | 8 | |a Installing ggplot2Scatter plots; Histogram plots; Density plots; Probability plots; dnorm(); pnorm(); rnorm(); Box plots; Residual plots; Summary; Chapter 5: Creating Aesthetically Pleasing Reports with knitr and R Markdown; Technical requirements; Installing R Markdown; Working with R Markdown; Reproducible data analysis reports with knitr; Exporting and customizing reports; Summary; Section 2: Univariate, Time Series, and Multivariate Data; Chapter 6: Univariate and Control Datasets; Technical requirements; Reading the dataset; Cleaning and tidying up the data | |
| 505 | 8 | |a Understanding the structure of the dataHypothesis tests; Statistical hypothesis in R; The t-test in R; Directional hypothesis in R; Correlation in R; Tietjen-Moore test; Parsimonious models; Probability plots; The Shapiro-Wilk test; Summary; Chapter 7: Time Series Datasets; Technical requirements; Introducing and reading the dataset; Cleaning the dataset; Mapping and understanding structure; Hypothesis test; t-test in R; Directional hypothesis in R; Grubbs' test and checking outliers; Parsimonious models; Bartlett's test; Data visualization; Autocorrelation plots; Spectrum plots; Phase plots | |
| 500 | |a Summary | ||
| 520 | |a Hands-On Exploratory Data Analysis with R puts the complete process of exploratory data analysis into a practical demonstration in one nutshell. You will understand the concepts of data analysis right from data ingestion, data cleaning, data manipulation to applying statistical techniques and visualizing hidden patterns. | ||
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
| 650 | 0 | |a Data mining |x Computer programs. | |
| 650 | 0 | |a R (Computer program language) | |
| 650 | 6 | |a Exploration de données (Informatique) |x Logiciels. | |
| 650 | 6 | |a R (Langage de programmation) | |
| 650 | 7 | |a COMPUTERS |x General. |2 bisacsh | |
| 650 | 7 | |a R (Computer program language) |2 fast |0 (OCoLC)fst01086207 | |
| 700 | 1 | |a Garg, Harish. | |
| 776 | 0 | 8 | |i Print version: |a Datar, Radhika. |t Hands-On Exploratory Data Analysis with R : Become an Expert in Exploratory Data Analysis Using R Packages. |d Birmingham : Packt Publishing, Limited, ©2019 |z 9781789804379 |
| 856 | 4 | 0 | |u https://ebsco.uam.elogim.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2153721 |z Texto completo |
| 938 | |a Askews and Holts Library Services |b ASKH |n AH36368439 | ||
| 938 | |a ProQuest Ebook Central |b EBLB |n EBL5784233 | ||
| 938 | |a EBSCOhost |b EBSC |n 2153721 | ||
| 938 | |a YBP Library Services |b YANK |n 300576897 | ||
| 994 | |a 92 |b IZTAP | ||