DataFrames.jl comparison with data.table authors of DataFrames.jl docs 2024.11 data.table.threads Anirban Chetia 2024.10 Comparing data.table reshape to duckdb and polars Toby Dylan Hocking 2024.10 Benchmarking rolling window functions in R Mikkel Roald-Arbøl 2024.09 Mutation testing for data.table Anirban Chetia 2024.08 Collapse reshape benchmark Toby Dylan Hocking 2024.07 Benchmarking a change in data.table Toby Dylan Hocking 2024.06 data.table for the Google Summer of Code 2024 (Joshua Wu) Joshua Wu 2024.02 Column assignment and reference semantics in data.table Toby Dylan Hocking 2024.02 NSF project activities Anirban Chetia 2024.02 new programming with data.table John MacKintosh 2024.02 more .I in data.table John MacKintosh 2024.01 .I in data.table John MacKintosh 2024.01 Reshape performance comparison Toby Dylan Hocking 2023.12 Comparing data table to frame for row subset Toby Dylan Hocking 2023.12 non-equi joins in data.table John MacKintosh 2023.11 Some pedagogical elements of computer programming for data science: A comparison of three approaches to teaching the R language David Shilane, Nicole Di Crecchio, Nicole L. Lorenzetti 2023.11 data.table CRAN diffs: Verifying consistency between CRAN and github Toby Dylan Hocking 2023.10 data.table asymptotic timings Toby Dylan Hocking 2023.03 A Coding Translation to Increase the Efficiency of Programmatic Data Analyses David Shilane 2023.02 Pivoting data in R with tidyr and data.table John MacKintosh 2022.11 dplyr 1.1.0 is coming soon Davis Vaughan 2022.11 Handling larger than memory data with {arrow} and {duckdb} David Lucey 2022.11 R Package Release History: Extracting and plotting data from CRAN web site Toby Dylan Hocking 2022.10 Efficiency comparison of dplyr and tidyr functions vs base R Manuel Teodoro Tenango 2022.08 modifying columns in datatable with lapply John MacKintosh 2022.08 Simulating data from a non-linear function by specifying a handful of points Keith Goldfeld 2022.06 Timing data.table Operations Thomas Shafer 2022.06 Shuffling Columns With data.table Thomas Shafer 2022.06 A quirk when using data.table? Kenneth Tay 2022.05 Comparing performances of CSV to RDS, Parquet, and Feather file formats in R Tomaž Kaštrun 2022.04 Loading a large, messy csv using data.table fread with cli tools David Lucey 2022.04 Greatly revised edition of tidyverse skeptic
library(data.table) / 你只需要library(data.table) (in Chinese) Xianying Tan (@shrektan) 2020.11 Comparing Common Operations in dplyr and data.table Martin Chan 2020.11 non-equi merge in data.table and epidemiology Denis Mongin 2020.10 The ultimate R data.table cheat sheet Sharon Machlis 2020.10 What is R data.table and Why is R data.table? (In Korean, 한국어) HongDon Lee 2020.10 Solving small problems with data.table John MacKintosh 2020.10 Python and R – Part 1: Exploring Data with Datatable David Lucey 2020.10 Decomposition and Smoothing with data.table, reticulate, and spatstat Tony ElHabr 2020.09 The Fastest Way To Read And Write Files In R George Pipis 2020.09 The treedata.table Package April Wright, Cristian Román-Palacios, Josef Uyeda 2020.09 Gotta go fast with "{tidytable}" Bruno Rodrigues 2020.09 Task 2 - Retail Strategy and Analytics Shrishti Vaish 2020.08 Solving small data problems with data.table John MacKintosh 2020.08 Replicating .SD in Python Datatable Samuel Oranyeli 2020.08 Let's Learn data.table (日本語) Uryu Shinya 2020.08 87th TokyoR Meetup Roundup: {data.table}, Bioconductor, & more! Ryo Nakagawara 2020.07 5 handy options in R data.table’s fread Sharon Machlis 2020.07 Even more reshape benchmarks Grant McDermott 2020.07 RvsPython #2: Pivoting Data From Long to Wide Form Benjamin Smith 2020.06 A gentle introduction to data.table @atrebas 2020.06 Reshape benchmarks Grant McDermott 2020.06 Selecting and Grouping Data with Python Datatable Samuel Oranyeli 2020.05 dtplyr speed benchmarks Iyar Lin 2020.05 Creating a data.table from C++ David Zimmermann, Leonardo Silvestri, Dirk Eddelbuettel 2020.04 Data manipulation libraries: Translating between data.table, pandas, dplyr Toby Dylan Hocking 2020.04 patientcounter John MacKintosh 2020.04 Fastest data operations with least memory in tidy syntax Tian-Yuan Huang 2020.04 W is for Write and Read Data – Fast Sara Locatelli 2020.03 Use data.table the tidy way: An ultimate tutorial of tidyfst Tian-Yuan Huang 2020.03 R data.table symbols and operators you should know Sharon Machlis 2020.03 Variable name in functions, it's easy with datatable Lino Galiana 2020.02 stringsAsFactors Kurt Hornik 2020.01 Programming with data.table John MacKintosh 2020.01 Blazing Fast Data Wrangling With R data.table Thu Vu 2020.01 New Timings for a Grouped In-Place Aggregation Task John Mount 2020.01 Base R, the tidyverse, and data.table: a comparison of R dialects to wrangle your data Jason Mercer 2019.12 4 great free tools that can make your R work more efficient, reproducible and robust Jozef Hajnala 2019.12 Why I don’t use the Tidyverse Holger K. von Jouanne-Diedrich 2019.11 dtplyr 1.0.0 Hadley Wickham 2019.10 Using ggplot2 Inside data.table John Lashlee 2019.10 Fast and Readable 'If Else' in R Tysson Barrett 2019.10 Data Joins: Speed and Efficiency of dplyr and data.table Tysson Barrett 2019.10 Comparing Efficiency and Speed of data.table: Adding variables, filtering rows, and summarizing by group Tysson Barrett 2019.10 Columnar File Performance Check-in for Python and R: Parquet, Feather, and FST Wes McKinney 2019.09 Selecting the max value from each group, a case study: data.table Nathan Eastwood 2019.09 Sentiment analysis at the Fringe, part 1 Megan Stodel 2019.09 {disk.frame} is epic Bruno Rodrigues 2019.08 A shallow benchmark of R data frame export/import methods Julien Barnier 2019.08 The R Factor Owen Jones 2019.08 Hydra Chronicles, Part V: Loose Ends Brodie Gaslam 2019.08 Everyone’s Favorite Blogpost: CSV Benchmarks Jacob Quinn 2019.08 No visible binding for global variable Nathan Eastwood 2019.08 Why Machine Learning is more Practical than Econometrics in the Real World Adrian Antico 2019.08 What’s next for the popular programming language R? Dan Kopf 2019.08 Wrangling 4.6M Rows with dtplyr (the NEW data.table backend for dplyr) Matt Dancho 2019.08 mlr3-0.1.0 Patrick Schratz 2019.07 Hydra Chronicles, Part IV: Reformulation of Statistics Brodie Gaslam 2019.07 Multiple Columns to Multiple Colums at Once Recle Etino Vibal 2019.07 Long to Wide and Wide to Long Format Conversion Giovanni Pavolini 2019.07 fread-benchmarks-rsuite Alfonso R. Reyes 2019.07 Bayesian Power Analysis with data.table, tidyverse, and brms Tyson Barrett 2019.07 Making .SD your best friend José Morales 2019.07 data.table's cube function Giovanni Pavolini 2019.07 How to use .SD in the data.table package Sharon Machlis 2019.07 Why I Chose to Learn data.table (and such related things) Tyson Barrett 2019.07 What R’s most popular tools say about the state of data science Dan Kopf 2019.07 data.table and Text Analysis: Analyzing the Four Gospels Tyson Barrett 2019.07 Analyzing data with data.table Giovanni Pavolini 2019.07 Why I love data.table Elio Campitelli 2019.07 Why I like the Tidyverse Chris Muir 2019.07 An opinionated view of the Tidyverse "dialect" of the R language, and its promotion by RStudio
sf and data.table: a test case Lorenzo Busetto 2018.02 Packages for Getting Started with Time Series Analysis in R Abraham Mathew 2018.02 DataExplorer: Fast Data Exploration With Minimum Code Boxuan Cui 2018.01 Supercharge your R code with wrapr John Mount 2018.01 Tidyverse and data.table, sitting side by side… and then base R walks in Iñaki Úcar 2018.01 Tidyverse and data.table, sitting side by side (Part 1) Dirk Eddelbuettel 2018.01 Base R can be Fast John Mount 2018.01 Lightning fast serialization of datasets using the fst package Mark Klik 2018.01 rquery: Fast Data Manipulation in R John Mount 2017.12 A tour of the data.table package by creator Matt Dowle David Smith 2017.12 More Pipes in R John Mount 2017.12 Team Rtus wins Munich Re Datathon with mlr Jann Goschenhofer 2017.12 Correlated log-normal chain-ladder model Markus Gesmann 2017.11 How we built a Shiny App for 700 users Olga Mierzwa-Sulima 2017.11 An empirical study of group-by strategies in Julia ZJ 2017.11 Using data.table and Rcpp to scale geo-spatial analysis with sf Tim Appelhans 2017.11 Creating integer64 and nanotime vectors in C++ Dirk Eddelbuettel 2017.10 The Impressive Growth of R David Robinson 2017.10 Data.Table by Example – Part 3 atmathew 2017.09 Speed of data manipulations in Julia vs R ZJ 2017.09 Data.Table by Example – Part 2 atmathew 2017.09 Data.Table by Example – Part 1 atmathew 2017.09 Beyond the basics of data.table: Smooth data exploration Sindri 2017.09 Strategies to Speed-up R Code Selva Prabhakaran 2017.08 Is the Hadleyverse the only option? Billy Fung 2017.08 Basics of data.table: Smooth data exploration Sindri 2017.08 Polygenic Risks Scores with data.table in R Sahir Rai Bhatnagar 2017.08 July(ish) Update John MacKintosh 2017.08 R for System Adminstration Dirk Eddelbuettel 2017.07 Compare data.table pipes and magrittr pipes Guanglai Li 2017.06 data.table tutorial (with 50 examples) Deepanshu Bhalla 2017.06 The data.table R Package Cheat Sheet Karlijn Willems 2017.06 Data Manipulation with data.table (part 2) Biswarup Ghosh 2017.06 R in pRoduction: theRe be dRagons! Tim Sweetser and Kyle Schmaus 2017.06 Improving Zillow’s Zestimate with 36 Lines of Code Eduardo Ariño de la Rubia 2017.06 Data Manipulation with data.table (part 1) Biswarup Ghosh 2017.05 plotly 4.7.0 now on CRAN Carson Sievert 2017.05 R⁶ — Idiomatic (for the People) Bob Rudis 2017.05 Reading/writing biggish data, revisited Karl Broman 2017.05 dplyr in context John Mount 2017.05 Everyone knows that loops in R are to be avoided but vectorization is not always possible Keith Goldfeld 2017.04 R code to accompany Real-World Machine Learning (Chapter 6): Exploring NYC Taxi Data Paul Adamson 2017.04 Fast data loading from files to R Olga Mierzwa-Sulima 2017.03 Data Manipulation with Python Pandas and R Data.Table Fisseha Berhane 2017.03 Fast data lookups in R: dplyr vs data.table Marek Rogala 2017.02 Fitting logistic regression on 100gb dataset on a laptop Dmitriy Selivanov 2017.02 Large data, feature hashing and online learning Dmitriy Selivanov 2017.02 Moving largish data from R to H2O - spam detection with Enron emails Peter Ellis 2017.01 Discover your data (XGBoost vignette) Tianqi Chen, Tong He, Michaël Benesty, Yuan Tang 2017.01 fst: Fast serialization of R data frames David Smith 2017.01 fst: Lightning Fast Serialization of Data Frames Mark Klik 2017.01 R to the Rescue John Mackintosh 2016.12 Using R to prevent food poisoning in Chicago David Smith 2016.12 Behind the scenes of CRAN Matt Dowle 2016.12 nanotime 0.0.1: New package for Nanosecond Resolution Time for R Dirk Eddelbuettel 2016.12 Does replyr::let work with data.table? John Mount 2016.12 data.table: Where Have You Been All My Life? JoAnn Rudd Alvarez 2016.12 Organize your data manipulation in terms of “grouped ordered apply” John Mount 2016.12 Comparing a MySQL Query with a Data Table in R Douglas Rice 2016.11 data.table: squeeze the maximum speed when using data in R Stanislav Chistyakov 2016.10 Data Wrangling: Quick Guide for dplyr, data.table and R build-in data.frame Vincent Cao 2016.09 This Machine Learning Project on Imbalanced Data Can Add Value to Your Resume Manish Saraswat 2016.09 Rolling a join Will Rogers 2016.07 Winning approach of the Facebook V Kaggle competition Tom Van de Wiele 2016.07 New release of partools package Norm Matloff 2016.07 Bad Coder, Bad Coder! Norm Matloff 2016.06 Intro to the data.table package Steve Pittard 2016.06 Boost Your Data Munging with R Jan Gorecki 2016.06 Improving Season on Season James P. Curley 2016.06 Understanding data.table Rolling Joins Robert Norberg 2016.05 From a (set.)seed grows a mighty dataset Jonathan Carroll 2016.05 Feather: fast, interoperable data import/export for R David Smith 2016.05 Best packages for data manipulation in R Fisseha Berhane 2016.05 My Two favorite Packages for Data Manipulation in R Fisseha Berhane 2016.05 Use H2O and data.table to build models on large data sets in R Manish Saraswat 2016.05 The R Data I/O Shootout Eduardo Ariño de la Rubia 2016.05 Red herring bites Matt Dowle 2016.05 data.table() vs data.frame() – Learn to work on large data sets in R Manish Saraswat 2016.04 Feather: it's about metadata Wes McKinney 2016.04 Fast csv writing for R Matt Dowle 2016.04 I'll Keep Using R Michael Ekstrand 2016.04 data.table objects should not be considered data.frame instances in R [retracted] John Mount 2016.04 Learning R in Seven Simple Steps Martijn Theuwissen 2016.04 Collapsing lists of data.frames with data.table Steph Locke 2016.04 Working with databases in R Fisseha Berhane 2016.03 Data table exercises: keys and subsetting Han de Vries 2016.03 Performing SQL selects on R data frames Fisseha Berhane 2016.02 Read from hdfs with R. Brief overview of SparkR Dmitriy Selivanov 2016.02 Up to code? An algorithm is helping Chicago health officials predict restaurant safety violations (featured on TV at 06:40). [Tweet] [Code] PBS NewsHour 2016.01 Strategies to Speedup R Code Selva Prabhakaran 2015.12 Our R package roundup 2015 Christoph Safferling 2015.12 Who’s downloading the forecast package? Rob J Hyndman 2015.12 Solve common R problems efficiently with data.table Jan Gorecki 2015.11 Efficient aggregation (and more) using data.table David Kun 2015.11 Scaling data.table with index Jan Gorecki 2015.11 H2O World 2015 – Day 2 Highlights Anmol Rajpurohit, KDnuggets 2015.11 H2O World 2015 Joseph Rickert 2015.11 H2O.ai raises $20m series B to capitalize on rapid open source machine-learning growth Matt Aslett, 451 Research 2015.10 R and Impala: it's better to KISS than using Java Gergely Daroczi 2015.10 R: data.table – Finding the maximum row Mark Needham 2015.09 Querying a 20 million line CSV file – data.table vs data frame Mark Needham 2015.09 Data ergonomics with data.table, iHub Nairobi, with supporting materials Henk Harmsen 2015.09 R Stories from the Trenches [Video] [Slides] Szilard Pafka 2015.09 Advanced Tips and Tricks with data.table Andrew Brooks 2015.08 data.table cookbook Steph Locke 2015.07 Overlap joins in R: a speed comparison with packages sqldf and data.table Zev Ross 2015.06 Data Warehousing with R Jan Gorecki 2015.06 Auditing data transformation Jan Gorecki 2015.06 Back from R/Finance in Chicago Markus Gesmann 2015.05 Fast data munging in R Alexander Konduforov 2015.05 No THIS Is How You dplyr and data.table! Jeffrey Horner 2015.05 Comparing data frames, data.table and dplyr with random walks David Smith 2015.05 Working with "large" datasets, with dplyr and data.table Arthur Charpentier 2015.04 Comparing the execution time between foverlaps and findOverlaps [data.table vs GenomicRanges] Katarzyna Wręczycka 2015.04 Open Source Business Intelligence: Then and Now Steve Miller 2015.04 Mapping Flows in R with data.table and lattice Oscar Perpiñán Lamigueiro 2015.03 Need for Processing Speed: data.table OpenAnalytics 2015.03 Getting Data From An Online Source Robert Norberg 2015.02 A data.table R tutorial by DataCamp: intro to DT[i, j, by] DataCamp 2015.02 Minimal example for joining data.tables Markus Gesmann 2015.01 Using the microbenchmark package to compare the execution time of R expressions Stephen Turner 2015.01 Sessionizing Log Data Using data.table Randy Zwitch 2015.01 R in Business Intelligence Jan Gorecki 2014.12 dplyr and a very basic benchmark Szilard Pafka 2014.12 JOINing data in R using data.table Ronald Stalder 2014.12 Cheat Sheets for Data Science Steve Miller 2014.11 Partying R Style with Sqor Sports, R on Azure, and data.table Joseph Rickert 2014.11 The data.table Cheat Sheet DataCamp 2014.11 Some R Highlights from H20 World Joseph Rickert 2014.10 Complete data.table tutorial: data analysis the data.table way DataCamp 2014.10 data.table University Steve Miller 2014.10 Visualising the seasonality of Atlantic windstorms Markus Gesmann 2014.08 Scaling up data frames Ben Lorica 2014.08 data.table for R Grant Rettke 2014.08 MongoDB – State of the R Raffael Vogler 2014.08 VIDEO Matt Dowle's data.table talk from useR! 2014 Eduardo Ariño de la Rubia 2014.08 Pro Grammar and Devel Hoper Romain Francois 2014.08 Faster CSV Import with R Phill Clarke 2014.07 10 R Packages to Win Kaggle Competitions Xavier Conort 2014.07 R – Data.Table Rolling Joins Ben Gorman 2014.07 Dependencies of popular R packages Andrie de Vries 2014.07 2014 useR! conference, days 1-2 Karl Broman 2014.06 The joy of joining data.tables Markus Gesmann 2014.06 Concatenating a list of data frames Andrew 2014.05 R/Finance 2014 Steve Miller 2014.05 Working with large data sets in R - data.table and dcast Kamil Bartocha 2014.05 Reading large data tables in R Fabio Marroni 2014.04 Exploring US healthcare data Vik Paruchuri 2014.04 data.table vs dplyr in split apply combine style analysis Brodie G 2014.02 Dueling R and Python Followup Steve Miller 2014.02 Efficiency of Importing Large CSV Files in R statcompute 2014.01 Benchmark on baseball data: dplyr (0.1) and data.table (1.8.10) [tweet] Arun Srinivasan and Matt Dowle 2014.01 R: the good parts Jose Quesada 2014.01 Two of my favorite data.table features Brandon Le Beau 2014.01 When I use plyr/dplyr/data.table Educate-R 2013.12 Review: Kölner R Meeting 13 December 2013 Markus Gesmann 2013.09 A speed comparison of plyr, data.table and dplyr Jake Russ 2013.08 An R function like “order” from Stata Ananda Mahto 2013.07 Fig Data: 11 Tips on How to Handle Big Data in R (and 1 Bad Pun) Ulrich Atz 2013.07 A Bottom-up Start on Big Data Analytics Steve Miller 2013.06 Simulating Map-Reduce in R for Big Data Analysis Using Flights Data Jitender Aswani 2013.06 Improve The Efficiency in Joining Data with Index statcompute 2013.04 FasteR! HigheR! StrongeR! – A Guide to Speeding Up R Code for Busy People Noam Ross 2013.04 Using data.table for binning Oscar Perpiñán Lamigueiro 2013.03 RMark: data.table merge vs core merge Xachriel 2013.02 data.table or data.frame? DataParadigms 2013.01 Another Benchmark for Joining Two Data Frames statcompute 2013.01 Efficiecy of Extracting Rows from A Data Frame in R statcompute 2013.01 Efficiency in Joining Two Data Frames statcompute 2012.12 Surprising Performance of data.table in Data Aggregation Wensui Liu 2012.11 Data.table rocks! Data manipulation the fast way in R Markus Gesmann 2012.10 Generate a panel data.table or data.frame to fill with data Thiemo Fetzer 2012.06 Transforming subsets of data in R with by, ddply and data.table Markus Gesmann 2012.06 Access data quickly and easily: data.table package Anna Longari 2012.05 data.table 1.8.1 - Now allows numeric columns and big-number (via bit64) in keys! Branson Owen 2012.03 R code for Chapter 2 of Non-Life Insurance Pricing with GLM Allan Engelhardt 2012.02 Elegant & fast data manipulation with data.table Carl Boettiger 2012.01 Say it in R with "by", "apply" and friends Markus Gesmann 2011.08 Comparison of ave, ddply and data.table Paul Hiemstra 2011.04 Data Aggregation in R: plyr, sqldf and data.table Hayward Godwin 2011.03 Applying functions on groups: sqldf, plyr, doBy, aggregate or data.table ? altuna 2011.03 Fast(ish) extraction of exon locations from a BED12 file using data.table altuna 2011.03 data.table: an R package everyone should use Jason 2011.02 By-Group Processing, the R data.table and the Power of Open Source Steve Miller
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