1. dbc::clean_categ1
    A cleaning dictionary for categorical variables in example dataset 'll1'
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|7 x 4
  2. dbc::clean_dates1
    A cleaning dictionary for categorical variables in example dataset 'll1'
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|12 x 6
  3. dbc::clean_num1
    A cleaning dictionary for numeric variables in example dataset 'll1'
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|4 x 4
  4. dbc::dict_categ1
    A dictionary of allowed values for categorical variables in example dataset 'll1'
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|13 x 2
  5. dbc::ll1
    An example messy dataset to clean
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|7 x 10
  6. dbc::ll2
    An example messy dataset to clean, an extension of 'll1'
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|10 x 10
  7. hmatch::ne_raw
    Raw dataset
    csv| xlsx| json| ndjson| rda| rds
    data.frame|15 x 4
  8. hmatch::ne_ref
    Reference dataset
    csv| xlsx| json| ndjson| rda| rds
    data.frame|31 x 5
  9. nmatch::dat_icu
    Example hospital datasets containing proper names in different formats
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|7 x 2
  10. nmatch::dat_ipd
    Example hospital datasets containing proper names in different formats
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|10 x 2
  11. nmatch::names_ex
    Example data with proper names from two different sources
    csv| xlsx| json| ndjson| rda| rds
    data.frame|6 x 2
  12. queryr::ll
    Example dataset, an epidemiological linelist from a treatment centre
    csv| xlsx| json| ndjson| rda| rds
    data.frame|12 x 10
  13. queryr::ll_queries
    Example set of queries to run on 'll' using 'query_vec'
    csv| xlsx| json| ndjson| rda| rds
    data.frame|5 x 2
  14. queryr::sll
    Example dataset, a summary epidemiological linelist containing only confirmed/probable cases
    csv| xlsx| json| ndjson| rda| rds
    data.frame|10 x 8