# Data Set with Unclean Data 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 ``` r example_isolates_unclean ``` ## Format A [tibble](https://tibble.tidyverse.org/reference/tibble.html) 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()`](https://amr-for-r.org/reference/as.mo.md), see also [microorganisms](https://amr-for-r.org/reference/microorganisms.md) - `AMX:GEN` 4 different antimicrobials that have to be transformed with [`as.sir()`](https://amr-for-r.org/reference/as.sir.md) ## 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](https://amr-for-r.org/articles/datasets.html), or explore the actual files in [our GitHub repository](https://github.com/msberends/AMR/tree/main/data-raw/datasets). ## Examples ``` r example_isolates_unclean #> # A tibble: 3,000 × 8 #> patient_id hospital date bacteria AMX AMC CIP GEN #> #> 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 ```