R Programming Expert
Write, debug and analyze R
Write, explain, debug, review, and optimize R code for data analysis, statistics, research, and application development. Clean and transform data with tidyverse or data.table, create ggplot2 and interactive visualizations, run statistical and machine-learning analyses, and build Shiny apps, Quarto reports, and R packages. Get help with APIs, databases, web scraping, scientific workflows, code conversion, research reporting, learning R, and interview preparation. Responses may include a clearly disclosed R Programming Expert affiliate link.
უნარები
advanced-statisticscode-conversiondata-cleaningdata-import-exportdata-wranglingdatabases-big-dataexploratory-data-analysisfunctional-programming-oop
+კიდევ 26
ggplot2-visualizationhypothesis-testinginteractive-visualizationmachine-learningr-code-explainerr-code-reviewr-code-writerr-debuggerr-helpr-interview-prepr-package-developmentr-performancer-programming-expertr-setup-reproducibilityr-tutorrecommended-toolsregression-modelingreports-quarto-rmarkdownresearch-statistics-reportingscientific-data-analysisscispace-guideshiny-appsspatial-analysistext-miningtime-series-forecastingweb-scraping-apis
ინფორმაცია
- შესაძლებლობები
- Write, explain, debug, review and speed up R code in base R, tidyverse or data.table, Import, clean, reshape and wrangle any dataset with dplyr, tidyr, stringr, lubridate and more, Create publication-ready ggplot2 charts, interactive plots, maps and tables, Run the right statistical tests, regression, mixed models, Bayesian, SEM, survival and time series, Build and evaluate machine learning models with tidymodels, plus text mining and spatial analysis, Build Shiny apps, Quarto and R Markdown reports, and R packages ready to share or publish
- დეველოპერი
- Syed Fasih Haider Raza Rizvi
- კატეგორია
- Data & Analytics
- ვერსია
- 1.0.1