Last updated: 2026-08-31

Checks: 7 0

Knit directory: covid_script/

This reproducible R Markdown analysis was created with workflowr (version 1.7.2). The Checks tab describes the reproducibility checks that were applied when the results were created. The Past versions tab lists the development history.


Great! Since the R Markdown file has been committed to the Git repository, you know the exact version of the code that produced these results.

Great job! The global environment was empty. Objects defined in the global environment can affect the analysis in your R Markdown file in unknown ways. For reproduciblity it’s best to always run the code in an empty environment.

The command set.seed(20260831) was run prior to running the code in the R Markdown file. Setting a seed ensures that any results that rely on randomness, e.g. subsampling or permutations, are reproducible.

Great job! Recording the operating system, R version, and package versions is critical for reproducibility.

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Great! You are using Git for version control. Tracking code development and connecting the code version to the results is critical for reproducibility.

The results in this page were generated with repository version e5925a4. See the Past versions tab to see a history of the changes made to the R Markdown and HTML files.

Note that you need to be careful to ensure that all relevant files for the analysis have been committed to Git prior to generating the results (you can use wflow_publish or wflow_git_commit). workflowr only checks the R Markdown file, but you know if there are other scripts or data files that it depends on. Below is the status of the Git repository when the results were generated:


Ignored files:
    Ignored:    .DS_Store
    Ignored:    analysis/assets/
    Ignored:    output/
    Ignored:    renv/library/
    Ignored:    renv/staging/
    Ignored:    scratch/
    Ignored:    tmp/

Note that any generated files, e.g. HTML, png, CSS, etc., are not included in this status report because it is ok for generated content to have uncommitted changes.


These are the previous versions of the repository in which changes were made to the R Markdown (analysis/data_sources.Rmd) and HTML (docs/data_sources.html) files. If you’ve configured a remote Git repository (see ?wflow_git_remote), click on the hyperlinks in the table below to view the files as they were in that past version.

File Version Author Date Message
html e5925a4 Ziang Zhang 2026-08-31 build: publish workflowr analysis site
Rmd b7bbc08 Ziang Zhang 2026-08-31 fix: activate pinned environment for reproduction
Rmd e87ff80 Ziang Zhang 2026-08-31 feat: add publication workflowr website

Exact reproduction uses the files committed under data/raw/, verified against their SHA-256 manifest. Data providers may revise provisional counts, historical records, schemas, or download URLs after the repository snapshot date. The provider-access scripts therefore download current versions to a separate, ignored directory and never silently replace the canonical inputs.

Registered sources

Provider Region Frequency Geography Provider identifier Repository snapshot
Eurostat europe weekly country DEMO_R_MWK_20 data/raw/eurostat/demo_r_mwk_20_linear.csv
CDC WONDER united_states monthly state Multiple Cause of Death 1999-2020 and provisional mortality data/raw/cdc_wonder/sex_stratified
CDC WONDER united_states monthly state Multiple Cause of Death 1999-2020 and provisional mortality data/raw/cdc_wonder/non_sex_stratified
Statistics Canada canada weekly province_or_territory 13-10-0768-01 data/raw/statcan/13100768.csv
Office for National Statistics england_wales daily England and Wales ONS reference 14173 data/raw/ons/daily_deaths_occurrences_1981_2020.xlsx
Office for National Statistics england_wales weekly England and Wales 2021 week 52 edition data/raw/ons/weekly_deaths_2021_week52.xlsx
Office for National Statistics england_wales weekly England and Wales 2022 week 52 edition data/raw/ons/weekly_deaths_2022_week52.xlsx
Office for National Statistics england_wales weekly England and Wales 2023 v37 week 35 edition data/raw/ons/weekly_deaths_2023_week35.xlsx
Central Statistics Office Ireland ireland quarterly Ireland VSQ20 data/raw/cso/ireland_quarterly_deaths.csv
Our World in Data europe daily country archived COVID-19 vaccination extract data/raw/owid/europe_vaccination_snapshot.rda
Our World in Data united_states daily state us_state_vaccinations.csv data/raw/owid/us_state_vaccination_snapshot.rda
United States Census Bureau united_states static state GENZ2018 cb_2018_us_state_500k data/raw/us_census/cb_2018_us_state_500k.zip

Snapshot verification

system2(
  "Rscript",
  "scripts/data_access/verify_snapshots.R"
)
Provider Versioned files Size (MB)
CDC WONDER 14 58.1
Central Statistics Office Ireland 1 0.1
Eurostat 1 54.5
Office for National Statistics 4 8.2
Our World in Data 2 0.0
Statistics Canada 1 28.4
United States Census Bureau 1 3.2

Optional current-provider access

The scripts in scripts/data_access document how to retrieve current provider versions where automated access is available. CDC WONDER exports require acceptance of the provider’s data-use terms and are retained as saved query exports. Source-specific details are recorded in documentation/data-sources.md.


sessionInfo()
R version 4.5.1 (2025-06-13)
Platform: aarch64-apple-darwin20
Running under: macOS Sequoia 15.6.1

Matrix products: default
BLAS:   /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libBLAS.dylib 
LAPACK: /Library/Frameworks/R.framework/Versions/4.5-arm64/Resources/lib/libRlapack.dylib;  LAPACK version 3.12.1

locale:
[1] C.UTF-8/C.UTF-8/C.UTF-8/C/C.UTF-8/C.UTF-8

time zone: America/Chicago
tzcode source: internal

attached base packages:
[1] stats     graphics  grDevices datasets  utils     methods   base     

loaded via a namespace (and not attached):
 [1] vctrs_0.7.3     cli_3.6.6       knitr_1.50      rlang_1.2.0    
 [5] xfun_0.55       stringi_1.8.9   otel_0.2.0      renv_1.1.5     
 [9] promises_1.5.0  jsonlite_2.0.0  workflowr_1.7.2 glue_1.8.1     
[13] rprojroot_2.1.1 git2r_0.36.2    htmltools_0.5.9 httpuv_1.6.16  
[17] sass_0.4.10     rmarkdown_2.30  evaluate_1.0.5  jquerylib_0.1.4
[21] tibble_3.3.0    fastmap_1.2.0   yaml_2.3.12     lifecycle_1.0.5
[25] whisker_0.4.1   stringr_1.6.0   compiler_4.5.1  fs_1.6.6       
[29] Rcpp_1.1.1-1.1  pkgconfig_2.0.3 here_1.0.2      later_1.4.4    
[33] digest_0.6.39   R6_2.6.1        pillar_1.11.1   magrittr_2.0.5 
[37] bslib_0.9.0     tools_4.5.1     cachem_1.1.0