Cargando…

Exploratory data analysis using R

Detalles Bibliográficos
Autor principal:	Pearson, Ronald K
Lenguaje:	eng
Publicado:	Chapman and Hall/CRC 2018
Materias:	Computing and Computers
Acceso en línea:	http://cds.cern.ch/record/2631114

Ejemplares similares

Hands-on exploratory data analysis with R: become an expert in exploratory data analysis using R packages
por: Datar, Radhika, et al.
Publicado: (2019)

Ethical reasoning in big data: an exploratory analysis
por: Collmann, Jeff, et al.
Publicado: (2016)

Making sense of data: a practical guide to exploratory data analysis and data mining
por: Myatt, Glenn J
Publicado: (2007)

Making sense of data I: a practical guide to exploratory data analysis and data mining
por: Myatt, Glenn J, et al.
Publicado: (2014)

Become a Python data analyst: perform exploratory data analysis and gain insight into scientific computing using Python
por: Fuentes, Alvaro
Publicado: (2018)

Jupyter for data science: exploratory analysis, statistical modeling, machine learning, and data visualization with Jupyter
por: Toomey, Dan
Publicado: (2017)

Mastering exploratory analysis with pandas: build an end-to-end data analysis workflow with Python
por: Garg, Harish
Publicado: (2018)

Statistics and data analysis for microarrays using R and bioconductor
por: Drăghici, Sorin
Publicado: (2012)

R in action: data analysis and graphics with R
por: Kabacoff, Robert
Publicado: (2015)

R in action: data analysis and graphics with R
por: Kabacoff, Robert
Publicado: (2011)

R: data analysis and visualization
por: Packt
Publicado: (2016)

Graphical data analysis with R
por: Unwin, Antony
Publicado: (2015)

Data Analysis and Graphics Using R: An Example-Based Approach
por: Maindonald, John, et al.
Publicado: (2010)

Data analysis with R: a comprehensive guide to manipulating, analyzing, and visualizing data in R
por: Fischetti, Tony
Publicado: (2018)

An introduction to analysis of financial data with R
por: Tsay, Ruey S
Publicado: (2013)

R bioinformatics cookbook: use R and Bioconductor to perform RNAseq, genomics, data visualization, and bioinformatic analysis
por: MacLean, Dan
Publicado: (2019)

Data science using Python and R
por: Larose, Chantal D, et al.
Publicado: (2019)

Introduction to data science: data analysis and prediction algorithms with R
por: Irizarry, Rafael A
Publicado: (2020)

Exploratory software testing
por: Whittaker, James A
Publicado: (2010)

Beginning data science in R: data analysis, visualization, and modelling for the data scientist
por: Mailund, Thomas
Publicado: (2017)

Using R to unlock the value of big data: big data analytics with Oracle R Enterprise and Oracle R Connector for Hadoop
por: Hornick, Mark F, et al.
Publicado: (2013)

Basic data analysis for time series with R
por: Derryberry, DeWayne R
Publicado: (2014)

Data mining algorithms : explained using R
por: Cichosz, Pawel
Publicado: (2015)

Pro data visualization using R and Javascript
por: Barker, Tom
Publicado: (2013)

Practical data science cookbook: practical recipes on data pre-processing, analysis and visualization using R and Python
por: Tattar, Prabhanjan, et al.
Publicado: (2017)

Hands-on data science with R: techniques to perform data manipulation and mining to build smart analytical models using R
por: Lanzetta, Vitor Bianchi, et al.
Publicado: (2018)

Simulation for data science with R: harness actionable insights from your data with computational statistics and simulations using R
por: Templ, Matthias
Publicado: (2016)

R data analysis cookbook: a journey from data computation to data-driven insights
por: Ganguly, Kuntal
Publicado: (2017)

Mastering data analysis with R: gain clear insights into your data and solve real-world data science problems with R--from data munging to modeling and visualization
por: Daróczi, Gergely
Publicado: (2015)

Data Mashups in R
por: Leipzig, Jeremy, et al.
Publicado: (2009)

Data Mashups in R
por: Leipzig, Jeremy, et al.
Publicado: (2011)

R cookbook: proven recipes for data analysis, statistics, and graphics
por: Long, J D, et al.
Publicado: (2019)

Hands-on geospatial analysis with R and QGIS: a beginner's guide to manipulating, managing, and analyzing spatial data using R and QGIS 3.2.2
por: Islam, Shammunul
Publicado: (2018)

Modern data science with R
por: Baumer, Benjamin S, et al.
Publicado: (2017)

Graphing data with R: an introduction
por: Hilfiger, John Jay
Publicado: (2015)

Efficient data processing with R
por: Gillespie, Colin, et al.
Publicado: (2016)

Data Mining with Rattle and R
por: Williams, Graham
Publicado: (2011)

Data mining applications with R
por: Zhao, Yanchang, et al.
Publicado: (2014)

Metaprogramming in R: advanced statistical programming for data science, analysis and finance
por: Mailund, Thomas
Publicado: (2017)

R programming fundamentals: deal with data using various modeling techniques
por: Medeiros, Kaelen
Publicado: (2018)

Cannot write session to /tmp/vufind_sessions/sess_dvdsq0l41dvosp72gcjehrjs0k