Revert "made draft hexsticker"

This reverts commit 1b8fe5b.

.pre-commit-config.yaml

@@ -43,7 +43,7 @@ repos:
     rev: v3.4.0
     hooks: 
     -   id: check-added-large-files
-        args: ['--maxkb=600']
+        args: ['--maxkb=200']
     -   id: end-of-file-fixer
         exclude: '\.Rd'
 -   repo: local

README.Rmd

@@ -11,7 +11,7 @@ knitr::opts_chunk$set(
 )
 ```
 
-# Subnational data for the COVID-19 outbreak <img src="man/figures/logo.png" align="right" alt="" width="120" />
+# Subnational data for the COVID-19 outbreak
 
 [![Lifecycle: maturing](https://img.shields.io/badge/lifecycle-maturing-blue.svg)](https://lifecycle.r-lib.org/articles/stages.html) [![R-CMD-check](https://github.com/epiforecasts/covidregionaldata/workflows/R-CMD-check/badge.svg)](https://github.com/epiforecasts/covidregionaldata/actions) [![Codecov test coverage](https://codecov.io/gh/epiforecasts/covidregionaldata/branch/master/graph/badge.svg)](https://codecov.io/gh/epiforecasts/covidregionaldata?branch=master) [![Data status](https://img.shields.io/badge/Data-status-lightblue.svg?style=flat)](https://epiforecasts.io/covidregionaldata/articles/supported-countries.html) [![metacran downloads](http://cranlogs.r-pkg.org/badges/grand-total/covidregionaldata?color=ff69b4)](https://cran.r-project.org/package=covidregionaldata)
 

README.md

@@ -1,5 +1,5 @@
 
-# Subnational data for the COVID-19 outbreak <img src="man/figures/logo.png" align="right" alt="" width="120" />
+# Subnational data for the COVID-19 outbreak
 
 [![Lifecycle:
 maturing](https://img.shields.io/badge/lifecycle-maturing-blue.svg)](https://lifecycle.r-lib.org/articles/stages.html)
@@ -27,11 +27,11 @@ both official sources, such as Public Health England in the UK, and from
 other Covid-19 data collections, including the World Health Organisation
 (WHO), European Centre for Disease Prevention and Control (ECDC), John
 Hopkins University (JHU), Google Open Data and others. This package is
-designed to streamline Covid-19 data extraction, cleaning, and
-processing from a range of data sources in an open and transparent way.
-This allows users to inspect and scrutinise the data, and tools used to
-process it, at every step. For all countries supported, data includes a
-daily time-series of cases and, wherever available, data on deaths,
+designed to streamline Covid-19 data extraction, cleaning, and processing
+from a range of data sources in an open and transparent way. This allows
+users to inspect and scrutinise the data, and tools used to process it,
+at every step. For all countries supported, data includes a daily
+time-series of cases and, wherever available, data on deaths,
 hospitalisations, and tests. National level data is also supported using
 a range of data sources as well as line list data and links to
 intervention data sets.
@@ -78,7 +78,7 @@ the temporary directory by default),
 
 ``` r
 start_using_memoise()
-#> Using a cache at: /tmp/RtmprQRl5f
+#> Using a cache at: /tmp/RtmpJAeC7J
 ```
 
 To stop using `memoise` use,
@@ -103,7 +103,7 @@ the Google COVID-19 open data project), use:
 ``` r
 nots <- get_national_data()
 #> Downloading data from https://covid19.who.int/WHO-COVID-19-global-data.csv
-#> Rows: 125,724
+#> Rows: 124,425
 #> Columns: 8
 #> Delimiter: ","
 #> chr  [3]: Country_code, Country, WHO_region
@@ -115,7 +115,7 @@ nots <- get_national_data()
 #> Cleaning data
 #> Processing data
 nots
-#> # A tibble: 125,846 x 15
+#> # A tibble: 124,425 x 15
 #>    date       un_region who_region country        iso_code cases_new cases_total
 #>    <date>     <chr>     <chr>      <chr>          <chr>        <dbl>       <dbl>
 #>  1 2020-01-03 Asia      EMRO       Afghanistan    AF               0           0
@@ -128,7 +128,7 @@ nots
 #>  8 2020-01-03 Americas  AMRO       Antigua & Bar… AG               0           0
 #>  9 2020-01-03 Americas  AMRO       Argentina      AR               0           0
 #> 10 2020-01-03 Asia      EURO       Armenia        AM               0           0
-#> # … with 125,836 more rows, and 8 more variables: deaths_new <dbl>,
+#> # … with 124,415 more rows, and 8 more variables: deaths_new <dbl>,
 #> #   deaths_total <dbl>, recovered_new <dbl>, recovered_total <dbl>,
 #> #   hosp_new <dbl>, hosp_total <dbl>, tested_new <dbl>, tested_total <dbl>
 ```
@@ -169,7 +169,7 @@ for example by level 1 region in the UK, use:
 ``` r
 uk_nots <- get_regional_data(country = "UK", verbose = FALSE)
 uk_nots
-#> # A tibble: 6,539 x 26
+#> # A tibble: 6,474 x 26
 #>    date       region   region_code cases_new cases_total deaths_new deaths_total
 #>    <date>     <chr>    <chr>           <dbl>       <dbl>      <dbl>        <dbl>
 #>  1 2020-01-30 East Mi… E12000004          NA          NA         NA           NA
@@ -182,7 +182,7 @@ uk_nots
 #>  8 2020-01-30 Scotland S92000003          NA          NA         NA           NA
 #>  9 2020-01-30 South E… E12000008          NA          NA         NA           NA
 #> 10 2020-01-30 South W… E12000009          NA          NA         NA           NA
-#> # … with 6,529 more rows, and 19 more variables: recovered_new <dbl>,
+#> # … with 6,464 more rows, and 19 more variables: recovered_new <dbl>,
 #> #   recovered_total <dbl>, hosp_new <dbl>, hosp_total <dbl>, tested_new <dbl>,
 #> #   tested_total <dbl>, areaType <chr>, cumCasesByPublishDate <dbl>,
 #> #   cumCasesBySpecimenDate <dbl>, newCasesByPublishDate <dbl>,
@@ -256,10 +256,10 @@ using the following,
 
 [![Development](https://img.shields.io/badge/Wiki-lightblue.svg?style=flat)](https://github.com/epiforecasts/covidregionaldata/wiki/)
 
-This package is the result of work from a number of contributors (see
-contributors list
-[here](https://epiforecasts.io/covidregionaldata/authors.html)). We
-would like to thank the [CMMID COVID-19 working
+This package is the result of work from a number of contributors
+(see contributors list in the
+[here](https://epiforecasts.io/covidregionaldata/authors.html)).
+We would like to thank the [CMMID COVID-19 working
 group](https://cmmid.github.io/groups/ncov-group.html) for inciteful
 comments and feedback.