Skills DirectoryData & Analytics
Data analysis, BI, visualization, datasets, statistics, and ML workflows
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Showing 11,017–11,040 of 13,031 skills
R feather package for fast binary data format. Use for fast reading/writing of data frames between R and Python.
R arrow package for Apache Arrow. Use for reading/writing Parquet, Feather, and working with large datasets.
R data format packages for reading/writing files. Use for CSV (readr, vroom), Excel (readxl, writexl), JSON (jsonlite), Parquet (arrow), and fast serialization (fst, qs).
R odbc package for ODBC database connections. Use for connecting to any ODBC-compatible database.
R mongolite package for MongoDB. Use for connecting to MongoDB databases and performing CRUD operations.
R elastic package for Elasticsearch. Use for connecting to Elasticsearch and performing search operations.
R dbplyr package for database backends. Use for dplyr verbs on database tables with lazy evaluation.
R database packages for SQL and NoSQL. Use for DBI connections, SQL queries, dbplyr, SQLite, PostgreSQL, MySQL, MongoDB, Redis.
R RSQLite package for SQLite databases. Use for embedded SQLite database connections.
R RPostgres package for PostgreSQL databases. Use for PostgreSQL connections with modern DBI interface.
R DBI package for database interface. Use for connecting to and querying databases with a common interface.
R data manipulation, formats, and database packages. Use for data wrangling with dplyr/data.table, reading files (CSV, Excel, JSON, Arrow), and database connections (SQL, MongoDB, Redis).
R limma package for microarray and RNA-seq. Use for linear models in differential expression.
R edgeR package for RNA-seq analysis. Use for differential expression with negative binomial models.
R RNA-seq analysis with DESeq2, edgeR. Use for differential expression and gene set enrichment.
R DESeq2 package for RNA-seq analysis. Use for differential expression analysis with negative binomial models.
R phangorn package for phylogenetic analysis. Use for phylogenetic reconstruction and analysis.
R ape package for phylogenetic analysis. Use for reading, writing, and analyzing phylogenetic trees.
R phylogenetics with ape, ggtree. Use for phylogenetic trees and evolutionary analysis.
R seqinr package for biological sequence analysis. Use for reading, writing, and analyzing biological sequences.
R pheatmap package for heatmaps. Use for creating publication-quality heatmaps with clustering.
R genomics with GenomicRanges, Biostrings. Use for genomic intervals, sequences, and annotations.
R GenomicRanges package for genomic intervals. Use for representing and manipulating genomic coordinates.
R Biostrings package for biological sequences. Use for DNA, RNA, and protein sequence manipulation.