R-statistics Альтернативы & Конкуренты
Tutorials on Advanced Stats and Machine Learning With R.
Альтернативы и конкуренты r-statistics.co по содержанию, трафику и структуре
STHDA est dédié à l'analyse statistique des données en utilisant le langage R.
The R graph gallery displays hundreds of charts made with R, always providing the reproducible code.
Tidyverse.
An online community for showcasing R & Python tutorials | DataScience+.
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Easily search the documentation for every version of every R package on CRAN and Bioconductor.
R news and tutorials contributed by hundreds of R bloggers
Quick-R: Home Page.
Over 1400 graphs with reproducible code divided in 8 big categories and over 50 chart types, in addition of tools to choose and create colors and color palettes
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Statistics Globe is an education platform providing free programming tutorials - R programming & Python - Statistics & data science.
UC Business Analytics R Programming Guide · .
This cookbook contains more than 150 recipes to help scientists, engineers, programmers, and data analysts generate high-quality graphs quickly—without having to comb through all the details of R’s graphing systems. Each recipe tackles a specific problem with a solution you can apply to your own project and includes a discussion of how and why the recipe works.
R: The R Project for Statistical Computing.
A comprehensive index of R packages and documentation from CRAN, Bioconductor, GitHub and R-Forge.
Datamentor: Learn to Code in R Programming and Python |.
An R introduction to statistics that explains basic R concepts and illustrates with statistics textbook homework exercises.
Ggplot2: Elegant Graphics for Data Analysis (3e).
Learn to Make Plots in Python and R
ProgrammingR is your one-stop source for learning the R programming language, finding R jobs, hiring R programmers or R consultants, and getting R related help.
R is a language used for statistical computations, data analysis and graphical representation of data. R is a very popular language in academia.
A blog on statistics and R aiming at helping academics and professionals working with data to grasp important concepts in statistics and to apply them in R
RStudio provides open source and enterprise-ready professional software for data science.
Welcome to R CODER This website provides a wide variety of R PROGRAMMING TUTORIALS and a FREE R COURSE developed by experts
Data Imaginist.
Python tutorials: Pandas, Statsmodels, Seaborn, Matplotlib. R tutorials: descriptive statistics, importing data, and many more.
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A blog covering broad topics related to Bioinformatics, Genomics, Statistics, Machine learning, Python, and R for biological data analysis and visualization
A blog about a girl who found her way into data science :)
Learn how use Python for research and data science applications. Learn everything from the fundamentals, to checking statistical tests assumptions, applying statistical tests, and interpreting the results.
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Briatte.github.io.
Review our step-by-step Data Science tutorials using a variety of tools, such as Python, SQL, MS Access, MS Excel, and more!
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Machine Learning Plus - Machine Learning Plus.
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Home - DataScience Made Simple.
Statology is a website that makes learning statistics easy by explaining concepts in simple, straightforward ways.
Why SciPy? Fundamental algorithms. Broadly applicable. Foundational. Interoperable. Performant. Open source.
Spark By Examples | Learn Spark Tutorial with Examples In this Apache Spark Tutorial, you will learn Spark with Scala code examples and every sample example explained here is available at Spark Examples Github Project for reference. All Spark examples provided in this Apache Spark Tutorials are basic, simple, easy to practice for beginners who
Installation — pingouin 0.3.2 documentation.
A blog for exploring.
Online and open access textbooks
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Python for Data Science will be a reference site for some, and a learning site for others. The purpose is to help spread the use of Python for research and data science applications, and explain concepts in an easy to understand way. If you are starting off fresh with no knowledge, this is the recommended…
Learn Data Science with Python and R