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Statistics -- Data processing
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The concept ** Statistics -- Data processing** represents the subject, aboutness, idea or notion of resources found in **European University Institute**.

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Statistics -- Data processing
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**Statistics -- Data processing**represents the subject, aboutness, idea or notion of resources found in**European University Institute**.- Label
- Statistics -- Data processing

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- A Python data analyst's toolkit : learn Python and Python-based libraries with applications in data analysis and statistics
- A first course in statistical programming with R
- A gentle introduction to effective computing in quantitative research : what every research assistant should know
- A survivor's guide to R : an introduction for the uninitiated and the unnerved
- Advanced R statistical programming and data models : analysis, machine learning, and visualization
- An introduction to statistics using Microsoft Excel
- Applied econometrics with R
- Applied statistics with SPSS
- Bare-bones R : a brief introductory guide
- Computational methods for data analysis
- Computational methods in statistics and econometrics
- Creating and verifying data sets with Excel
- Creating and verifying data sets with Excel
- Data analysis and graphics using R : an example-based approach
- Data analysis using SPSS
- Data analysis using Stata
- Data analytics and AI
- Data manipulation With R
- Data scientists at work
- Exploring everyday things with R and Ruby
- GESMES/ECOSER user guide : time-series subset of the generic statistical Edifact message
- Gnuplot in action : understanding data with graphs
- Intermediate statistics using SPSS
- Introduction to data science : data analysis and prediction algorithms with R
- Introduction to machine learning with R : rigorous mathematical analysis
- Introductory statistics with R
- Learning statistics using R
- 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
- Mathematical statistics with resampling and R
- Modern applied statistics with S
- Numerical issues in statistical computing for the social scientist
- Probability and statistics with R
- Proceedings in computational statistics : 18th symposium held in Porto, Portugal, 2008 ; with 66 tables ; [with CD-ROM]
- Prosecuting political violence : collaborative research and method
- R companion to elementary applied statistics
- R cookbook : proven recipes for data analysis, statistics, and graphics
- R in action : data analysis and graphics with R
- SAS for R users : a book for budding data scientists
- SAS/STAT 9.1 user's guide
- SAS/STAT user's guide : version 6
- SPSS advanced models 11.0
- SPSS regression models 11.0
- SPSS survival manual : a step by- tep guide to data analysis using SPSS for Windows (Version 10)
- Scientific data analysis
- Stata data management reference manual : release 10
- Stata data management reference manual : release 11
- Stata data-management reference manual : release 12
- Stata multivariate statistics reference manual : release 10
- Stata multivariate statistics reference manual : release 11
- Stata multivariate statistics reference manual : release 12
- Statistical analysis with Excel for dummies
- Statistical analysis with Excel for dummies
- Statistical computing with R
- Statistical data analysis using your personal computer
- Statistical data cleaning with applications in R
- Statistical foundations of data science
- Statistical inference via data science : a ModernDive, into R and the tidyverse
- Statistical learning using neural networks : a guide for statisticians and data scientists
- Statistics Using R
- Statistics using R
- Statistics with R : a beginner's guide
- Statistics with Stata 5
- The Stata survival manual
- The art of R programming : a tour of statistical software design
- The data book : collection and management of research data
- The practice of reproducible research : case studies and lessons from the data-intensive sciences
- The workflow of data analysis using Stata
- Using R for introductory statistics

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`<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.eui.eu/resource/JQqUC_FwUdk/" typeof="CategoryCode http://bibfra.me/vocab/lite/Concept"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.eui.eu/resource/JQqUC_FwUdk/">Statistics -- Data processing</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.eui.eu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.eui.eu/">European University Institute</a></span></span></span></span></div>`