Disentangling Data Science
Category: tools
Picular.co calls itself Google, but for colors on its website. And not without good reason. On the site, you type in a color association (e.g., forest green), and it provides you an palette overview of associated colors and their hexadecimal (Hex) codes.
I don’t precisely know how it works, but it seems to work quite well!
Help yourself to these free books, tutorials, packages, cheat sheets, and many more materials for R programming. There’s a separate overview for handy R programming tricks. If you have additions, please comment below or contact me!
LAST UPDATED: 2021-09-24
Completely new to R? → Start learning here!
swirl()***tidyverseroxygen2 by Hadley Wickhamknitr by Yihui Xieknitr in a nutshell: a minimal tutorial by Karl Bromandevtools – tools to make an R developer’s life easier roxygen2 – tools for describing functions in comments next to their definitions Rd2roxygen – tools for converting Rd to roxygen documentationtestthat – tools that simplify the testing of R packagestidyeval tutorial by Ian Lyttle purrr tutorial by Jenny Bryan***purrr tutorial by Emorie Beckpurrr tutorial by Dan Ovandopurrr cheat sheet by RStudiodata.table cheat sheet by Erik Petrovskidata.table wide cheat sheet by DataCampdata.table long cheat sheet by DataCamptidyverse cheat sheet by DataCampreadr, tibble, and tidyrforcats cheat sheet by Lise Vaudordplyrdplyr and sjmiscggplot2dplyr and tidyrrandomizr by Alex Coppock.mosaic package teaching math, stats, computation, and modelling, by Michael Laviolettestringrlubridatepurrr functional programming cheat sheet by RStudiocartography cheat sheet by Timothee Giraudbayesplot cheat sheet by Edward Roualdesdevtoolsxts cheat sheet for time series by DataCampreticulate cheat sheet by RStudioMany of the above cheat sheets are hosted in the official RStudio cheat sheet overview.
data.tabledata.table & dplyr codedata.table cheat sheet by Erik Petrovskidata.table wide cheat sheet by DataCampdata.table long cheat sheet by DataCamp dplyr cheat sheet by RStudiocolourpicker – widget that allows users to choose colourspaletteer – comprehensive collection of color palettes in R***ggthemes::scale_color_canvaplotly – interactive plotsbillboarder – easy interface to billboard.js, a JavaScript chart library based on D3d3heatmap – interactive D3 heatmapsaltair – Vega-Lite visualizations via PythonDT – interactive tablesDiagrammeR – interactive diagrams (DiagrammeR cheat sheet)dygraphs – interactive time series plotsformattable – formattable data structuresggvis – interactive ggplot2highcharter – interactive Highcharts plotsleaflet – interactive mapsmetricsgraphics – interactive JavaScript bare-bones line, scatterplot and bar chartsnetworkD3 – interative D3 network graphsscatterD3 – interactive scatterplots with D3rbokeh – interactive Bokeh plotsrCharts – interactive Javascript chartsrcdimple – interactive JavaScript bar charts and othersrglwidget – interactive 3d plotsthreejs – interactive 3d plots and globesvisNetwork – interactive network graphswordcloud2 – interface to wordcloud2.js.timevis – interactive timelinesggplot2ggthemrpatchwork or cowplotequisse – RStudio addin to interactively explore data with ggplot2 without codingggthemes – plot style themeshrbrthemes – opinionated, typographic-centric themesggmap – maps with Google Maps, Open Street Maps, etc.ggiraph – interactive ggplotsgghighight – highlight lines or values, see vignetteggstance – horizontal versions of common plotsGGally – scatterplot matricesggalt – additional coordinate systems, geoms, etc.ggbeeswarm – column scatter plots or voilin scatter plotsggforce – additional geoms, see visual guideggrepel – prevent plot labels from overlappingggraph – graphs, networks, trees and moreggpmisc – photo-biology related extensionsgeomnet – network visualizationggExtra – marginal histograms for a plotgganimate – animations, see also the gganimate wiki pageggpage – pagestyled visualizations of text based dataggpmisc – useful additional geom_* and stat_* functionsggstatsplot – include details from statistical tests in plotsggspectra – tools for plotting light spectraggnetwork – geoms to plot networksggpoindensity – cross between a scatter plot and a 2D density plotggradar – radar chartsggsurvplot (survminer) – survival curvesggseas – seasonal adjustment toolsggthreed – (evil) 3D geomsggtech – style themes for plotsggtern – ternary diagramsggTimeSeries – time series visualizationsggtree – tree visualizationstreemapify – wilcox’s treemapsseewave – spectograms coefplot – visualizes model statisticscirclize – circular visualizations for categorical dataclustree – visualize clustering analysisquantmod – candlestick financial chartsdabestr– Data Analysis using Bootstrap-Coupled ESTimationdevoutsvg – an SVG graphics device (with pattern fills)devoutpdf – an PDF graphics device cartography – create and integrate maps in your R workflowcolorspace – HSL based color palettesviridis – Matplotlib viridis color pallete for Rmunsell – Munsell color palettes for RCairo – high-quality display outputigraph – Network Analysis and Visualizationgraphlayouts – new layout algorithms for network visualization lattice – Trellis graphicstmap – thematic mapstrelliscopejs – interactive alternative for facet_wraprgl – interactive 3D plotscorrplot – graphical display of a correlation matrixgoogleVis – Google Charts APIplotROC – interactive ROC plotsextrafont – fonts in R graphicsrvg – produces Vector Graphics that allow further editing in PowerPoint or Excelshowtext – text using system fontsanimation – animated graphics using ImageMagick.misc3d – 3d plots, isosurfaces, etc.xkcd – xkcd style graphicsimager – CImg library to work with imagesungeviz – tools for visualize uncertaintywaffle – square pie charts a.k.a. waffle chartshht, warbleR, soundgen, signal, seewave, or phonToolsflexdashboard – dashboard creation simplifiedcolourpicker – widget that allows users to choose coloursbrighter – toolbox with helpful functions for shiny developmentDesktopDeployR – self-contained R-based desktop applicationsknitr book (Xie, 2015)xaringan by Yihui Xiexariganblogdown websites with R Markdown (Xie, Thomas, & Hill, 2018)blogdown tutorialsblogdown in R, by Storybenchtidystats – automating updating of model statisticspapaja – preparing APA journal articlesblogdown – build websites with Markdown & Hugohuxtable – create Excel, html, & LaTeX tablesxaringan – make slideshows via remark.js and markdown summarytools – produces neat, quick data summary tables citr – RStudio Addin to Insert Markdown Citations googlesheetssparklyr by DataCampRMySQL – connects to MySQL and MariaDBRPostgreSQL – connects to Postgres and Redshift.RSQLite – embeds a SQLite database.odbc – connects to many commercial databases via the open database connectivity protocol.bigrquery – connects to Google’s BigQuery.DBI – separates the connectivity to the DBMS into a “front-end” and a “back-end”.dbplot – leverages dplyr to process calculations of plot inside databasedplyr – also works with remote on-disk data stored in databasestidypredict – run predictions inside the databasecaretmlr cheat sheet by Aaron Coleykeras cheat sheet by RStudiocaret cheat sheet by Max Kuhnnardl cheat sheet by Taha Zaghdoudisurvminer cheat sheet by Przemysław Bieceksparklyr cheat sheet by RStudioxts cheat sheettsfeatures packagetidyquantxts – extensible time seriestsfeatures – methods for extracting various features from time series data tidyquant – tidyverse-style financial analysis survival – functionality for survival and hazard modelsggsurvplot (survminer) – survival curvescorrr – easier correlation matrix management and explorationtmtidytextrtweettwitteRquanteda cheat sheet by Stefan Müller and Kenneth Benoittm – text mining.tidytext – text mining using tidyverse principlesquanteda – framework for quantitative text analysisgutenbergr – public domain works (free books to practice on)corpora – statistics and data sets for corpus frequency data.tau – Text Analysis UtilitiesSentiment140 – headache-free sentiment analysissentimentr – sentiment analysis using text polarityopenNLP – sentence detector, tokenizer, pos-tagger, shallow and full syntactic parser, named-entity detector, and maximum entropy models with OpenNLP.cleanNLP – natural language processing via tidy data modelsRSentiment – English lexicon-based sentiment analysis with negation and sarcasm detection functionalities.RWeka – data mining tasks with Wekawordnet – a large lexical database of English with WordNet .stringi – language processing wrapperstextcat – provides support for n-gram based text categorization.text2vec – text vectorization, topic modeling (LDA, LSA), word embeddings (GloVe), and similarities.lsa – Latent Semantic Analysistopicmodels -Latent Dirichlet Allocation (LDA) and Correlated Topics Models (CTM)lda -Latent Dirichlet Allocation and related modelsregexplain – interactive RStudio addin for regular expressionssf) cheat sheet by Ryan GarnettDescriptions mostly taken from their own websites:
jmv – free and open statistical software to bridge the gap between researcher and statisticianreadxl – package to load in Excel dataxlsx – package to read and write Excel datarvg – produces Vector Graphics which can be modified in Exceldevoutpdf – an PDF graphics device tidyxl – imports non-tabular (e.g., format) data from Excel files into Runpivotr – unpivot complex and irregular data layouts in Runheadr – handle data with embedded subheadersreticulate cheat sheet by RStudio reticulate – tools for interoperability between Python and Rsqldf – running SQL statements on R data framesClick here for the original PDF: TACIT 2017
The first programs for (scientific) text mining are already over 50 years old. More recent efforts, such as the Linguistic Inquiry Word Count (LIWC; Tausczik & Pennebaker, 2010), have greatly improved our text analytical capabilities. Moreover, several single-purpose programs have been developed, which also consider syntactic text structures (e.g., Syntactic Complexity Analyzer [Lu, 2010], TAALES [Kyle & Crossley, 2015]).However, the widespread use of many of these programs has been hampered by two major barriers.
First, considerable technical expertise is required, which obstructs researchers without statistical backgrounds. For example, packages such as tm in R (Meyer et al., 2015) have been developed to conduct natural-language processing, but the steep learning curve forms a challenge. Additionally, the constant increase of computational processing power and the proliferation of new algorithms makes it difficult for researchers to maintain working knowledge of state-of-the-art methods.
Alternatively, most of the existing user-friendly NLP programs (and packages), such as RapidMiner (Akthar & Hahne, 2012), SAS Text Miner (Abell, 2014), or SPSS Modeler (IBM Corp., 2011), charge either a large software fee up front or a subscription fee. The cost of these programs can be prohibitively expensive for junior researchers and researchers looking to integrate new techniques into their research toolbox.
In the attached article, TACIT is introduced: Text Analysis, Crawling and Investigation Tool. TACIT is an open-source architecture that establishes a pipeline between the various stages of text-based research by integrating tools for text mining, data cleaning, and analysis under a single user-friendly architecture. In addition to being prepackaged with a range of easily applied, cutting-edge methods, TACIT’s design also allows other researchers to write their own plugins.
The authors’ hope is that TACIT can facilitate the integration and use of advancements in computational linguistics in psychological research, and by doing so can help researchers make use of the ever-growing documents of our social discourse in ways that have previously not been possible.
paulvanderlaken.com 
