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.
Exercise solutions to "R for Data Science"
Magic potions to clean and transform your data 🧙
Seurat meets tidyverse. The best of both worlds.
A fluent code explorer for R. 🔍
An exploratory data analysis and data visualization project using data from Spotify Web API
Brings SingleCellExperiment objects to the tidyverse
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
Extensions and extras for tidy processing.
Collocates retriever and Collocation association measure
I use various techniques for analyzing the Stanford Congressional Records. Specifically, we will be looking at
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.
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
R package with wrapper functions of the Tidyverse package suite.
My data exploration and visualization projects for R Tidytuesday weekly community event.
Exploratory Data Analysis of Resume Names Dataset using R visualization packages
In this project, an analysis of the investment process of the investor will be carried out. Data exploration, Data manipulation, Analysis of the investment process, Analyze the time until the first investment and Invest retention analysis
Analyses and advanced visualisations
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