Man pages for brandonleekramer/diverstidy
Standardize messy text data for geographic, population, and diversity-related research
| detect_ancestry_terms | Detect ancestry and heritage terms in unstructured text data |
| detect_cultural_terms | Detect cultural diversity terms in unstructured text data |
| detect_disability_terms | Detect disability terms in unstructured text data |
| detect_discrimination_terms | Detect bias/discrimination-related terms in unstructured text... |
| detect_diversity_terms | Detect diversity-related terms in unstructured text data |
| detect_equity_terms | Detect equity-related terms in unstructured text data |
| detect_geographies | Convert messy text and email data into standardized... |
| detect_inclusion_terms | Detect in/exclusion-related terms in unstructured text data |
| detect_lifecourse_terms | Detect lifecourse terms in unstructured text data |
| detect_linguistic_terms | Detect cultural/linguistic terms in unstructured text data |
| detect_migration_terms | Detect migration-related terms in unstructured text data |
| detect_population_terms | Detect group or population-related terms in unstructured text... |
| detect_racialethnic_terms | Detect racial/ethnic terms in unstructured text data |
| detect_religious_terms | Detect religious terms in unstructured text data |
| detect_sexgender_terms | Detect sex/gender terms in unstructured text data |
| detect_sexuality_terms | Detect sexuality-related terms in unstructured text data |
| detect_socialclass_terms | Detect socioeconomic and other social class terms in... |
| detect_usomb_terms | Detect US OMB racial terms in unstructured text data |
| funnel_match | Funnel matching engine for term matching in sequences |
| pipe | Pipe operator |
