gagolews/stringi

Fast and portable character string processing in R (with the Unicode ICU)

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gederajeg/stringr-rladies-jakarta

Material pendukung dalam R-Ladies Jakarta 15th Meetup (2 April 2022) dengan topik "Basic text manipulation with stringr".

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

2023-03-22 R-Ladies Rome Presentation

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gadenbuie/regexplain

🔍 An RStudio addin slash regex utility belt

Language: R - Size: 35.1 MB - Last synced at: 22 days ago - Pushed at: over 3 years ago - Stars: 486 - Forks: 27

AdamSpannbauer/r_regex_tester_app

Shiny Application to test regular expressions in R

Language: R - Size: 54.3 MB - Last synced at: 26 days ago - Pushed at: about 3 years ago - Stars: 68 - Forks: 9

pablobernabeu/VTT-Transcription-App

This open-source, R-based web application allows the conversion of video captions (subtitles) from the Web Video Text Tracks (WebVTT) Format into plain texts. For this purpose, users upload a WebVTT file with the extension of 'vtt' or 'txt'. Automatically, metadata such as timestamps are removed, and the text is formatted.

Language: R - Size: 163 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 5 - Forks: 1

AmirMotefaker/Sentiment-Analysis-Model-using-R

build a sentiment analysis model which will allow us to categorize words based on their sentiments, that is whether they are positive, negative and also the magnitude of it.

Language: R - Size: 13.9 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

Aichatolba/Data-Cleaning-in-R

How to deal with untidy data in R

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gederajeg/collogetr

Collocates retriever and Collocation association measure

Language: R - Size: 2.07 MB - Last synced at: 26 days ago - Pushed at: about 5 years ago - Stars: 4 - Forks: 0

sha-ddie/Jumia-Web-Scraping-RStudio

Scraping Jumia website suing R Language and Displaying on Shiny Dashboards

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gastonstat/R-for-strings

Handling Strings with R

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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.

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tcolwell7/R-repository

A self-made function repository for common R functions and packages used frequently.

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alifradi/Recoding-variables-Shiny-app

This application aims to help you recode your variables after introducing the data as an RDS saved dataframe and given the variable to recode it will automatically generate fields where variable levels are adjustable and you perform your modification before downloading your data via the button

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zahrasalarian/Book-Analysis

Series of codes to extract some information from books and recorded earthquakes written in R.

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ReasonFoundation/acfrs_datachecking

US Municipal Financial Reports data integrity checking. Regular expression, stringr, dplyr

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sPuntinG/GenGen_Rworkshop2023

Material for GenGen R workshop

Language: R - Size: 27.2 MB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

LKobilke/PR-Erfolgskontrolle

Dieses Repository dient als ein zentraler Hub für das M.A. Seminar "Theorien, Modelle, Methoden und Gegenstände der PR-Wirkungs- und Erfolgskontrolle" an der LMU München (Mittwoch, 12-14 Uhr, SS2022). Unter dem nachfolgenden Link kann das zugehörige Online-Tutorial abgerufen werden:

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gbganalyst/forstringr_presentation

forstringr presentation resources

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srhegdegadikai/Context_Vectors_and_Cosine_Similarity_Scores

The Programm tries to determine the cosine similarity scores for a set of words in question. Cosine similarity scores indicate the contextual similarity between words.

Language: R - Size: 8.48 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 1

jfjelstul/regular-expressions-tutorial

A tutorial on using regular expressions in R

Size: 1.27 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0

LKobilke/Digitalbranche

Dieses Repository dient als ein zentraler Hub für das B.A. Seminar "Digitalbranche: Entwicklungen und Herausforderungen" an der LMU München (Montag, 16-18 Uhr, SS2022). Unter dem nachfolgenden Link kann das zugehörige Online-Tutorial abgerufen werden:

Language: HTML - Size: 165 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

slu-dss/wrangling-04

Data Wrangling in R, Lesson 4 - Working with String Variables

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sarathchandrikak/Google-Data-Analytics-Capstone

Google Analytics Capstone Project - Bellabeat Smart Watch Analysis.

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RobWiederstein/ky_hist_markers

Kentucky, like many states, maintains a historical marker database(KHMD). Scraping the database yielded 2226 total markers which were plotted to the center of the county located.

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steve-liang/addressR

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ajinsh/CS631-DataVis

Repo for lab assign. and the final capstone project for CS 631 Data Visualization. Implemented data visualization principles - fonts, text, color theory, gestalt principles using RStudio and Markdown on different datasets

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SumedhSankhe/EDA-H1B-application

This project was created to showcase the skills learnt in the DA-5020 Collecting Storing and Retrieving Data Course in the Spring 2017 Semester.

Language: R - Size: 19.4 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

srhegdegadikai/PII_string_detector_shinyApp

A R-shiny application to detect personally identifiable information in a given text corpus using regex and "stringr"

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curso-r/pu.stringr

PU de stringr

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maitray16/Twitter-Analysis-Shiny-App

Analyze your Twitter archive and explore some aspects of your tweeting behavior. When do you tweet, how much do retweet people, do you use hashtags and much more

Language: R - Size: 2.93 KB - Last synced at: 12 months ago - Pushed at: over 8 years ago - Stars: 0 - Forks: 0