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# Data Set with Unclean Data

Source: `R/data.R`
`example_isolates_unclean.Rd`

A data set containing 3 000 microbial isolates that are not cleaned up and consequently not ready for AMR data analysis. This data set can be used for practice.

## Usage

    example_isolates_unclean

## Format

A tibble with 3 000 observations and 8 variables:

- `patient_id`
  ID of the patient

- `date`
  date of receipt at the laboratory

- `hospital`
  ID of the hospital, from A to C

- `bacteria`
  info about microorganism that can be transformed with `as.mo()`, see also microorganisms

- `AMX:GEN`
  4 different antimicrobials that have to be transformed with `as.sir()`

## Download Our Reference Data

All reference data sets in the AMR package - including information on microorganisms, antimicrobials, and clinical breakpoints - are freely available for download in multiple formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, and Stata.

For maximum compatibility, we also provide machine-readable, tab-separated plain text files suitable for use in any software, including laboratory information systems.

Visit our website for direct download links, or explore the actual files in our GitHub repository.

## Examples

    example_isolates_unclean
    #> # A tibble: 3,000 × 8
    #>    patient_id hospital date       bacteria      AMX   AMC   CIP   GEN
    #>    <chr>      <chr>    <date>     <chr>         <chr> <chr> <chr> <chr>
    #>  1 J3         A        2012-11-21 E. coli       R     I     S     S
    #>  2 R7         A        2018-04-03 K. pneumoniae R     I     S     S
    #>  3 P3         A        2014-09-19 E. coli       R     S     S     S
    #>  4 P10        A        2015-12-10 E. coli       S     I     S     S
    #>  5 B7         A        2015-03-02 E. coli       S     S     S     S
    #>  6 W3         A        2018-03-31 S. aureus     R     S     R     S
    #>  7 J8         A        2016-06-14 E. coli       R     S     S     S
    #>  8 M3         A        2015-10-25 E. coli       R     S     S     S
    #>  9 J3         A        2019-06-19 E. coli       S     S     S     S
    #> 10 G6         A        2015-04-27 S. aureus     S     S     S     S
    #> # ℹ 2,990 more rows