tidyr

There are 94 repositories under tidyr topic.

  • elbersb/tidylog

    Tidylog provides feedback about dplyr and tidyr operations. It provides wrapper functions for the most common functions, such as filter, mutate, select, and group_by, and provides detailed output for joins.

    Language:R58595825

  • jrnold/r4ds-exercise-solutions

    Exercise solutions to "R for Data Science"

    Language:R32117494230

  • pwwang/datar

    A Grammar of Data Manipulation in python

    Language:Python2731112418
  • datawizard

    easystats/datawizard

    Magic potions to clean and transform your data 🧙

    Language:R217822116

  • stemangiola/tidyseurat

    Seurat meets tidyverse. The best of both worlds.

    Language:R15892112

  • nischalshrestha/Unravel

    A fluent code explorer for R. 🔍

    Language:R10331063
  • spotify-artists-analysis

    khanhnamle1994/spotify-artists-analysis

    An exploratory data analysis and data visualization project using data from Spotify Web API

    Language:R768029

  • ddotta/cookbook-rpolars

    Cookbook to provide solutions to common tasks and problems in using Polars with R

    Language:CSS5822213

  • data-datum/learning_R

    List of resources for learning R

    372013

  • stemangiola/tidySingleCellExperiment

    Brings SingleCellExperiment objects to the tidyverse

    Language:R3533510

  • diyadas/tutorials

    Short programming tutorials pertaining to data analysis.

    Language:Jupyter Notebook15613

  • moriahtaylor1/tidy-tuesday

    #TidyTuesday is a weekly social data project in R which encourages participants to summarize and arrange data to make meaningful charts with ggplot2, tidyr, dplyr, and other tools in the tidyverse ecosystem

    Language:HTML14204

  • Satyam-Bhalla/Cheatsheets

    This repo contains all the cheatsheets that I found Important.

    10302

  • cosmoduende/r-netflix-data-analysis

    Análisis y visualización de datos con R de historial de actividad en Netflix de una cuenta personal. Visualización de maratones de series más vistas y frecuencia de actividad por días, meses y años

    Language:R9104

  • ivelasq/2023-03-22_whats-new-in-the-tidyverse

    2023-03-22 R-Ladies Rome Presentation

    Language:JavaScript9302

  • mrchypark/dabrp_classnote3

    패스트캠퍼스 중급R 3기 수업자료

    Language:JavaScript94024

  • TrainingByPackt/Applied-Supervised-Learning-with-R

    Use machine learning libraries of R to build models that solve problems and predict business trends

    Language:Jupyter Notebook9508

  • carpentries-incubator/open-science-with-r

    Carpentry-style lesson on how to use R, RStudio together with git & Github to promote Open Science practices.

    Language:Python871413
  • election-predictions

    ijeffries/election-predictions

    Predicting election results by county for the 2016 US general election with machine learning in R.

    6101

  • m-clark/tidyext

    Extensions and extras for tidy processing.

    Language:R6272
  • Intro2Bioinfo_course

    pesteller/Intro2Bioinfo_course

    Crash course for 1st Year PhD students on the basics of bioinformatics (July 2022).

    Language:HTML6002

  • kazutan/JSSP2018_spring

    日本社会心理学会 第５回 春の方法論セミナー 「RとRStudio入門」用のリポジトリ。

    Language:HTML5400

  • gederajeg/collogetr

    Collocates retriever and Collocation association measure

    Language:R4200

  • nicolasfguillaume/Exploratory-Data-Analysis-with-R

    Assignments of the "Data Analysis with R" course from Udacity.com. Learning gglot2, tidyr and dplyr

    42113

  • dnbarron/tidyclm

    Methods for clm objects

    Language:R3101

  • simonschoe/introduction-to-the-tidyverse

    This lecture is part of the "Machine Learning in R" graduate course held at University of Münster, School of Business and Economics (winter term 2021/22). :mortar_board:

    Language:HTML3101

  • Drev917/DEN-MLR-Model

    Multiple linear regression models to predict non-airline revenues at DEN airport in R.

    2200

  • e-paj/Machine-Learning-Projects-in-R

    This repository contains all the projects/case studies done using Machine Learning methods. This is in conjunction with another repository. Difference being that R would be the main software used here

    Language:R2101
  • tidytuesday_projects

    leepingtay/tidytuesday_projects

    My data exploration and visualization projects for R Tidytuesday weekly community event.

    Language:R2102

  • meerapatelmd/rubix

    R package with wrapper functions of the Tidyverse package suite.

    Language:R2120

  • RCJansonVTFL/Text-Analytics-with-Congressional-Speeches

    I use various techniques for analyzing the Stanford Congressional Records. Specifically, we will be looking at

    Language:R2100

  • tboudart/Financial-Markets-Regression-Analysis

    My role in this group project was to perform regression analysis on quarterly financial data to predict a company's market capitalization. I used R to develop ordinary least squares (OLS), stepwise, ridge, lasso, relaxed lasso, and elastic net regression models. I first used stepwise and OLS regression to develop a model and examine its residual plots. The plot displaying the residuals against the predicted values indicated multiplicative errors. I, therefore, took the natural log transformation of the dependent variable. The resulting model's R2 was significantly, negatively impacted. After examining scatter plots between the log transformation of market capitalization and the independent variables, I discovered the independent variables also had to be transformed to produce a linear relationship. Using the log transformation of both the dependent and independent variables, I developed models using all the regression techniques mentioned to strike a balance between R2 and producing a parsimonious model. All the models produced similar results, with an R2 of around .80. Since OLS is easiest to explain, had similar residual plots, and the highest R2 of all the models, it was the best model developed.

    2100

  • DanteSc03/Time-Spent

    Statistics project in R about time spent, relating data to current and past issues. Our data source is the OWID website where we collected data from the data tables.

    Language:R1110

  • Jannik-Hoffmann/anime-nyt-topic-modelling

    Analyzes the portrayal and themes of anime in NYT articles (1981-2023) using Semi-Supervised Topic Modeling to explore trends and diversification of media coverage over time.

    1100
  • wiresharkR

    mikael-ros/wiresharkR

    A set of scripts to process stacked IO graphs for Wireshark data

    Language:R1141

  • shgopher/RFamily

    R 语言基础，数据分析， 可视化，生物以及临床医学研究

    Language:Shell120