Magic potions to clean and transform your data 🧙
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Updated
May 27, 2024 - R
Magic potions to clean and transform your data 🧙
Brings SingleCellExperiment objects to the tidyverse
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.
Cookbook to provide solutions to common tasks and problems in using Polars with R
census data analysis of Robeson county in NC, analyzing household income, race distribution, etc
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.
GIS Programming with Python Scripts. Functions: Automating Geoprocessing Tasks, Scripting Workflows, Data Management, Map Automation, Spatial Analysis and Batch Processing
Seurat meets tidyverse. The best of both worlds.
Exercise solutions to "R for Data Science"
Raster, NDVI, Zonal Stats and Census Analysis of Sacramento County
In this repository, I've explored R programming, from basics to advanced concepts, for statistical models, data analysis, and data science. 📊🔍 Join me on this enriching journey! 🚀
A fluent code explorer for R. 🔍
RBP-Data-Processing is a repository containing R code for processing RNA-binding protein (RBP) datasets. The code imports the data table, performs data cleaning and transformation operations, and saves the processed dataset. It provides a convenient and reproducible workflow for analyzing RBP data obtained from external sources.
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