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30 changes: 30 additions & 0 deletions all_time.csv
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"2016-03-25","ramnathv","htmlwidgets","356"
"2016-03-25","karthik","wesanderson","354"
"2016-03-25","smbache","magrittr","352"
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"2016-04-07","rstudio","rmarkdown","482"
"2016-04-07","rich-iannone","DiagrammeR","481"
"2016-04-07","swirldev","swirl","469"
"2016-04-07","genomicsclass","labs","469"
"2016-04-07","google","CausalImpact","466"
"2016-04-07","ropensci","plotly","445"
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"2016-04-07","ramnathv","htmlwidgets","361"
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112 changes: 56 additions & 56 deletions r-trending.md
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## Top-Starred R GitHub Repos: Trending

**Trending from 2016-02-24 to 2016-03-25**
**Trending from 2016-03-08 to 2016-04-07**

1. [toddwschneider/ballr](https://github.com/toddwschneider/ballr) **213**<br/>Interactive NBA Shot Charts with R and Shiny
1. [dgrtwo/fuzzyjoin](https://github.com/dgrtwo/fuzzyjoin) **64**<br/>Join tables together on inexact matching
1. [hadley/dtplyr](https://github.com/hadley/dtplyr) **23**<br/>Data table backend for dplyr
1. [dgrtwo/fuzzyjoin](https://github.com/dgrtwo/fuzzyjoin) **90**<br/>Join tables together on inexact matching
1. [juliasilge/tidytext](https://github.com/juliasilge/tidytext) **56**<br/>Text mining using dplyr, ggplot2, and other tidy tools
1. [jwijffels/taskscheduleR](https://github.com/jwijffels/taskscheduleR) **30**<br/>Schedule R scripts/processes with the Windows task scheduler.
1. [mkuhn/dict](https://github.com/mkuhn/dict) **28**<br/>Dictionary with arbitrary keys and values for R
1. [lmullen/tokenizers](https://github.com/lmullen/tokenizers) **24**<br/>Collection of tokenizers for R
1. [abresler/forbesListR](https://github.com/abresler/forbesListR) **19**<br/>
1. [trestletech/eigencoder](https://github.com/trestletech/eigencoder) **19**<br/>Generalizing programmers
1. [jwijffels/taskscheduleR](https://github.com/jwijffels/taskscheduleR) **18**<br/>Schedule R scripts/processes with the Windows task scheduler.
1. [mikeskim/dboost](https://github.com/mikeskim/dboost) **18**<br/>Stochastic Dummy Boosting
1. [gaborcsardi/prompt](https://github.com/gaborcsardi/prompt) **17**<br/>Dynamic R prompt
1. [juliasilge/janeaustenr](https://github.com/juliasilge/janeaustenr) **9**<br/>An R Package for Jane Austen's Complete Novels
1. [nz-mbie/tourism-dashboard-public](https://github.com/nz-mbie/tourism-dashboard-public) **9**<br/>Source code the New Zealand Tourism Dashboard which is deployed to https://mbienz.shinyapps.io/tourism_dashboard_prod/
1. [tjmahr/WrapRmd](https://github.com/tjmahr/WrapRmd) **9**<br/>RStudio addin for wrapping RMarkdown paragraphs
1. [Microsoft/SQL-Server-R-Services-Samples](https://github.com/Microsoft/SQL-Server-R-Services-Samples) **8**<br/>Advanced analytics samples and templates using SQL Server R Services
1. [jennybc/jadd](https://github.com/jennybc/jadd) **7**<br/>RStudio addins
1. [krlmlr/condition](https://github.com/krlmlr/condition) **6**<br/>Missing parts of base R's wonderful condition system
1. [rustr/rustinr](https://github.com/rustr/rustinr) **6**<br/>Rust and R Integration
1. [ropenscilabs/gdoc](https://github.com/ropenscilabs/gdoc) **17**<br/>Mixed Google/R workflows
1. [juliasilge/janeaustenr](https://github.com/juliasilge/janeaustenr) **11**<br/>An R Package for Jane Austen's Complete Novels
1. [krlmlr/hms](https://github.com/krlmlr/hms) **10**<br/>A simple class for storing time-of-day values
1. [Gibbsdavidl/CatterPlots](https://github.com/Gibbsdavidl/CatterPlots) **10**<br/>Did you ever wish you could make scatter plots with cat shaped points? Now you can!
1. [52vis/2016-13](https://github.com/52vis/2016-13) **10**<br/>Week 13 of 2016
1. [ropenscilabs/dirdf](https://github.com/ropenscilabs/dirdf) **9**<br/>Return a directory listing as a data frames
1. [csgillespie/addinmanager](https://github.com/csgillespie/addinmanager) **8**<br/>RStudio addin management made easy
1. [James-Thorson/2016_Spatio-temporal_models](https://github.com/James-Thorson/2016_Spatio-temporal_models) **8**<br/>FSH 507 "Spatio-temporal models for ecologists" in Spring quarter 2016 at University of Washington
1. [rustr/rustinr](https://github.com/rustr/rustinr) **7**<br/>Rust and R Integration
1. [dgrtwo/monetizr](https://github.com/dgrtwo/monetizr) **7**<br/>Make money from your open source packages
1. [csgillespie/addinmanger](https://github.com/csgillespie/addinmanger) **7**<br/>
1. [ropenscilabs/colorpiler](https://github.com/ropenscilabs/colorpiler) **7**<br/>
1. [ropenscilabs/colorpile](https://github.com/ropenscilabs/colorpile) **6**<br/>
1. [hrbrmstr/albersusa](https://github.com/hrbrmstr/albersusa) **6**<br/>Tools, shapefiles & data to work with an "AlbersUSA" composite projection in R
1. [amatlin/NBAvis](https://github.com/amatlin/NBAvis) **6**<br/>Scrape and visualize NBA shot data.
1. [olgnaydn/R](https://github.com/olgnaydn/R) **6**<br/>Some applications about R Programmig Language
1. [tomliptrot/Machine_Learning_ManchesterR](https://github.com/tomliptrot/Machine_Learning_ManchesterR) **5**<br/>R scripts relating to talk on machine learning in R at Manchester R User Group
1. [rotoviz/team-R-code](https://github.com/rotoviz/team-R-code) **5**<br/>This repo will contain the R code that the site authors work on together.
1. [paul-shannon/igvR](https://github.com/paul-shannon/igvR) **4**<br/>a simple R interface to the igv, a java program for viewing genome tracks
1. [fcharte/CursoCienciaDatosR](https://github.com/fcharte/CursoCienciaDatosR) **4**<br/>Material de las sesiones de R del curso Ciencia de datos del Centro Mediterráneo (UGR)
1. [OriginDataLab/cndatalab](https://github.com/OriginDataLab/cndatalab) **6**<br/>Replication files for social science research prepared by OriginDataLab
1. [kateto/R-Network-Visualization-Basics-to-Advanced](https://github.com/kateto/R-Network-Visualization-Basics-to-Advanced) **5**<br/>Basic and advanced network visualization with R - code and tutorial from my Sunbelt 2016 workshop.
1. [cplouffe/r-arcgis-webinar](https://github.com/cplouffe/r-arcgis-webinar) **5**<br/>Materials from the Integrating R with ArcGIS Webinar series.
1. [tvganesh/yorkr](https://github.com/tvganesh/yorkr) **4**<br/>This repository contains the code and documentation for cricket package yorkr
1. [ellisp/nzelect](https://github.com/ellisp/nzelect) **4**<br/>New Zealand election results data in convenient form of an R package
1. [analyticsvidhya/DateYourData](https://github.com/analyticsvidhya/DateYourData) **4**<br/>
1. [stephlocke/HIBPwned](https://github.com/stephlocke/HIBPwned) **4**<br/>An R package for using the HaveIBeenPwned.com API
1. [cplouffe/r-arcgis-webinar](https://github.com/cplouffe/r-arcgis-webinar) **4**<br/>
1. [andrie/pagerank](https://github.com/andrie/pagerank) **3**<br/>R package to compute pagerank of CRAN packages
1. [ropenscilabs/taxizedb](https://github.com/ropenscilabs/taxizedb) **3**<br/>Tools for Working with Taxonomic SQL Databases
1. [SportsTribution/doing_data](https://github.com/SportsTribution/doing_data) **3**<br/>A lot of R code that runs data science things (e.g. munging, exploratory viz & glm + random forest)
1. [UweBlock/lazysql](https://github.com/UweBlock/lazysql) **3**<br/>Lazy SQL programming: Helper functions to create SQL expressions which can be combined to SQL statements under program control.
1. [trinker/kmeanstext](https://github.com/trinker/kmeanstext) **3**<br/>
1. [mrdwab/koboloadeR](https://github.com/mrdwab/koboloadeR) **3**<br/>KoBo Toolbox offers a convenient way to collect data using web and mobile forms. This package facilitates the retrieval of data entered using these tools using the KoBo Toolbox API (v1).
1. [EcoForecast/SoilMoisture](https://github.com/EcoForecast/SoilMoisture) **3**<br/>
1. [mdlincoln/docthis](https://github.com/mdlincoln/docthis) **3**<br/>RStudio addin to create skeleton documentation for functions and data.frames


## Top-Starred R GitHub Repos: All-Time

1. [johnmyleswhite/ML_for_Hackers](https://github.com/johnmyleswhite/ML_for_Hackers) **2228**<br/>Code accompanying the book "Machine Learning for Hackers"
1. [hadley/ggplot2](https://github.com/hadley/ggplot2) **1730**<br/>An implementation of the Grammar of Graphics in R
1. [rstudio/shiny](https://github.com/rstudio/shiny) **1670**<br/>Easy interactive web applications with R
1. [swirldev/swirl_courses](https://github.com/swirldev/swirl_courses) **1656**<br/>:mortar_board: A collection of interactive courses for the swirl R package.
1. [twitter/AnomalyDetection](https://github.com/twitter/AnomalyDetection) **1410**<br/>Anomaly Detection with R
1. [qinwf/awesome-R](https://github.com/qinwf/awesome-R) **1230**<br/>A curated list of awesome R frameworks, packages and software.
1. [hadley/devtools](https://github.com/hadley/devtools) **1220**<br/>Tools to make an R developer's life easier
1. [yihui/knitr](https://github.com/yihui/knitr) **1126**<br/>A general-purpose tool for dynamic report generation in R
1. [hadley/dplyr](https://github.com/hadley/dplyr) **1120**<br/>Plyr specialised for data frames: faster & with remote datastores
1. [szilard/benchm-ml](https://github.com/szilard/benchm-ml) **844**<br/>A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
1. [ramnathv/slidify](https://github.com/ramnathv/slidify) **670**<br/>Generate reproducible html5 slides from R markdown
1. [amplab-extras/SparkR-pkg](https://github.com/amplab-extras/SparkR-pkg) **578**<br/>R frontend for Spark
1. [toddwschneider/nyc-taxi-data](https://github.com/toddwschneider/nyc-taxi-data) **565**<br/>Import public NYC taxi and Uber trip data into PostgreSQL / PostGIS database, analyze with R
1. [jrnold/ggthemes](https://github.com/jrnold/ggthemes) **564**<br/>ggplot themes and scales
1. [hadley/rvest](https://github.com/hadley/rvest) **520**<br/>Simple web scraping for R
1. [rstudio/ggvis](https://github.com/rstudio/ggvis) **519**<br/>Interactive grammar of graphics for R
1. [hadley/httr](https://github.com/hadley/httr) **492**<br/>httr: a friendly http package for R
1. [rstudio/rmarkdown](https://github.com/rstudio/rmarkdown) **472**<br/>Dynamic Documents for R
1. [rich-iannone/DiagrammeR](https://github.com/rich-iannone/DiagrammeR) **467**<br/>Create graph diagrams and flowcharts using R.
1. [swirldev/swirl](https://github.com/swirldev/swirl) **465**<br/>:cyclone: Learn R, in R.
1. [google/CausalImpact](https://github.com/google/CausalImpact) **463**<br/>An R package for causal inference in time series
1. [genomicsclass/labs](https://github.com/genomicsclass/labs) **463**<br/>Rmd source files for the HarvardX series PH525x
1. [yihui/r-ninja](https://github.com/yihui/r-ninja) **454**<br/>R语言忍者秘笈
1. [johnmyleswhite/ML_for_Hackers](https://github.com/johnmyleswhite/ML_for_Hackers) **2258**<br/>Code accompanying the book "Machine Learning for Hackers"
1. [hadley/ggplot2](https://github.com/hadley/ggplot2) **1753**<br/>An implementation of the Grammar of Graphics in R
1. [rstudio/shiny](https://github.com/rstudio/shiny) **1694**<br/>Easy interactive web applications with R
1. [swirldev/swirl_courses](https://github.com/swirldev/swirl_courses) **1677**<br/>:mortar_board: A collection of interactive courses for the swirl R package.
1. [twitter/AnomalyDetection](https://github.com/twitter/AnomalyDetection) **1425**<br/>Anomaly Detection with R
1. [qinwf/awesome-R](https://github.com/qinwf/awesome-R) **1255**<br/>A curated list of awesome R frameworks, packages and software.
1. [hadley/devtools](https://github.com/hadley/devtools) **1231**<br/>Tools to make an R developer's life easier
1. [hadley/dplyr](https://github.com/hadley/dplyr) **1150**<br/>Plyr specialised for data frames: faster & with remote datastores
1. [yihui/knitr](https://github.com/yihui/knitr) **1136**<br/>A general-purpose tool for dynamic report generation in R
1. [szilard/benchm-ml](https://github.com/szilard/benchm-ml) **858**<br/>A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
1. [ramnathv/slidify](https://github.com/ramnathv/slidify) **675**<br/>Generate reproducible html5 slides from R markdown
1. [toddwschneider/nyc-taxi-data](https://github.com/toddwschneider/nyc-taxi-data) **611**<br/>Import public NYC taxi and Uber trip data into PostgreSQL / PostGIS database, analyze with R
1. [amplab-extras/SparkR-pkg](https://github.com/amplab-extras/SparkR-pkg) **580**<br/>R frontend for Spark
1. [jrnold/ggthemes](https://github.com/jrnold/ggthemes) **570**<br/>ggplot themes and scales
1. [hadley/rvest](https://github.com/hadley/rvest) **527**<br/>Simple web scraping for R
1. [rstudio/ggvis](https://github.com/rstudio/ggvis) **524**<br/>Interactive grammar of graphics for R
1. [hadley/httr](https://github.com/hadley/httr) **495**<br/>httr: a friendly http package for R
1. [rstudio/rmarkdown](https://github.com/rstudio/rmarkdown) **482**<br/>Dynamic Documents for R
1. [rich-iannone/DiagrammeR](https://github.com/rich-iannone/DiagrammeR) **481**<br/>Create graph diagrams and flowcharts using R.
1. [swirldev/swirl](https://github.com/swirldev/swirl) **469**<br/>:cyclone: Learn R, in R.
1. [genomicsclass/labs](https://github.com/genomicsclass/labs) **469**<br/>Rmd source files for the HarvardX series PH525x
1. [google/CausalImpact](https://github.com/google/CausalImpact) **466**<br/>An R package for causal inference in time series
1. [ropensci/plotly](https://github.com/ropensci/plotly) **445**<br/>Create interactive web graphics from R via plotly's JavaScript graphing library
1. [hadley/plyr](https://github.com/hadley/plyr) **431**<br/>A R package for splitting, applying and combining large problems into simpler problems
1. [ropensci/plotly](https://github.com/ropensci/plotly) **430**<br/>Create interactive web graphics from R via plotly's JavaScript graphing library
1. [johnmyleswhite/ProjectTemplate](https://github.com/johnmyleswhite/ProjectTemplate) **392**<br/>A template utility for R projects that provides a skeletal project.
1. [rdpeng/ProgrammingAssignment2](https://github.com/rdpeng/ProgrammingAssignment2) **368**<br/>Repository for Programming Assignment 2 for R Programming on Coursera
1. [ramnathv/htmlwidgets](https://github.com/ramnathv/htmlwidgets) **356**<br/>HTML Widgets for R
1. [karthik/wesanderson](https://github.com/karthik/wesanderson) **354**<br/>A Wes Anderson color palette for R
1. [smbache/magrittr](https://github.com/smbache/magrittr) **352**<br/>R package to bring forward-piping features ala F#'s |> operator. Ceci n'est pas un pipe.
1. [johnmyleswhite/ProjectTemplate](https://github.com/johnmyleswhite/ProjectTemplate) **395**<br/>A template utility for R projects that provides a skeletal project.
1. [rdpeng/ProgrammingAssignment2](https://github.com/rdpeng/ProgrammingAssignment2) **372**<br/>Repository for Programming Assignment 2 for R Programming on Coursera
1. [ramnathv/htmlwidgets](https://github.com/ramnathv/htmlwidgets) **361**<br/>HTML Widgets for R
1. [dgrtwo/broom](https://github.com/dgrtwo/broom) **360**<br/>Convert statistical analysis objects from R into tidy format
1. [karthik/wesanderson](https://github.com/karthik/wesanderson) **360**<br/>A Wes Anderson color palette for R
1. [smbache/magrittr](https://github.com/smbache/magrittr) **358**<br/>R package to bring forward-piping features ala F#'s |> operator. Ceci n'est pas un pipe.


30 changes: 30 additions & 0 deletions trending.csv
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"2016-02-24","2016-03-25","mrdwab","koboloadeR","3"
"2016-02-24","2016-03-25","EcoForecast","SoilMoisture","3"
"2016-02-24","2016-03-25","mdlincoln","docthis","3"
"2016-03-08","2016-04-07","dgrtwo","fuzzyjoin","90"
"2016-03-08","2016-04-07","juliasilge","tidytext","56"
"2016-03-08","2016-04-07","jwijffels","taskscheduleR","30"
"2016-03-08","2016-04-07","mkuhn","dict","28"
"2016-03-08","2016-04-07","lmullen","tokenizers","24"
"2016-03-08","2016-04-07","abresler","forbesListR","19"
"2016-03-08","2016-04-07","trestletech","eigencoder","19"
"2016-03-08","2016-04-07","ropenscilabs","gdoc","17"
"2016-03-08","2016-04-07","juliasilge","janeaustenr","11"
"2016-03-08","2016-04-07","krlmlr","hms","10"
"2016-03-08","2016-04-07","Gibbsdavidl","CatterPlots","10"
"2016-03-08","2016-04-07","52vis","2016-13","10"
"2016-03-08","2016-04-07","ropenscilabs","dirdf","9"
"2016-03-08","2016-04-07","csgillespie","addinmanager","8"
"2016-03-08","2016-04-07","James-Thorson","2016_Spatio-temporal_models","8"
"2016-03-08","2016-04-07","rustr","rustinr","7"
"2016-03-08","2016-04-07","dgrtwo","monetizr","7"
"2016-03-08","2016-04-07","csgillespie","addinmanger","7"
"2016-03-08","2016-04-07","ropenscilabs","colorpiler","7"
"2016-03-08","2016-04-07","ropenscilabs","colorpile","6"
"2016-03-08","2016-04-07","hrbrmstr","albersusa","6"
"2016-03-08","2016-04-07","amatlin","NBAvis","6"
"2016-03-08","2016-04-07","olgnaydn","R","6"
"2016-03-08","2016-04-07","OriginDataLab","cndatalab","6"
"2016-03-08","2016-04-07","kateto","R-Network-Visualization-Basics-to-Advanced","5"
"2016-03-08","2016-04-07","cplouffe","r-arcgis-webinar","5"
"2016-03-08","2016-04-07","tvganesh","yorkr","4"
"2016-03-08","2016-04-07","ellisp","nzelect","4"
"2016-03-08","2016-04-07","analyticsvidhya","DateYourData","4"
"2016-03-08","2016-04-07","stephlocke","HIBPwned","4"

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