adding english-monarchs-and-marriages (enmoma) dataset

data/curated/enmoma/cleaning.R

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+library(rvest)
+
+# url to scrape:
+root <- "https://www.ianvisits.co.uk/articles/a-list-of-monarchs-by-marriage-6857/"
+
+# get table
+tables <- read_html(root) |> html_nodes("table")
+df <- tables[1] |> html_table() |> as.data.frame()
+
+df <- df[, -6]      # remove spoiler 
+df <- df[-c(1,2), ] # remove double-header effect
+
+cols <- c("king_name", "king_age", "consort_name", "consort_age", "year_of_marriage")
+colnames(df) <- cols

data/curated/enmoma/english-monarchs-and-marriages.csv

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+king_name,king_age,consort_name,consort_age,year_of_marriage
+Æthelwulf,?,Osburh,?,851(?)
+Æthelwulf,50(?),Judith of Flanders,12,856
+Æthelbald,24,Judith of Flanders,14,858
+Æthelberht,–,–,–,–
+Æthelred,?,Wulfthryth?,?,?
+Alfred the Great,19,Ealhswith,16,868
+Edward the Elder,19,Ecgwynn,?,893
+Edward the Elder,28,Aelffaed,?,902
+Edward the Elder,31,Eadgifu of Kent,?,905
+Æthelstan,–,–,–,–
+"Edmund
+the Magnificent",,Ælfgifu of Shaftesbury,–,–
+"Edmund
+the Magnificent",22,Æthelflæd of Damerham,?,944
+Eadred,–,–,–,–
+Eadwig,,Ælfgifu,?,955(?)
+Edgar the Peaceful,17,Æthelflæd,?,960
+Edgar the Peaceful,21,Ælfthryth,19,964
+Edward the Martyr,–,–,–,–
+Æthelred the Unready,23,Ælfgifu of York,21,991
+Æthelred the Unready,34,Emma of Normandy,17,1002
+"Sweyn
+Forkbeard",,Gunhild of Wenden,?,990
+"Sweyn
+Forkbeard",,Sigrid the Haughty,?,1000
+"Edmund
+Ironside",,Edith of East Anglia,?,?
+Cnut,18,Aelfgifu of Northampton,?,1013(?)
+Cnut,22,Emma of Normandy,?,1017
+"Harold
+Harefoot",,Ælfgifu,?,?
+Harthacnut,–,–,–,–
+Edward the Confessor,42,Edith of Wessex,20,1045
+Harold Godwinson,24,Edith Swannesha,19,1044(?)
+Harold Godwinson,42,Ealdgyth,?,1064
+William I,25,Matilda of Flanders,22,1053
+William II,–,–,–,–
+Henry I,32,Matilda of Scotland,20,1100
+Henry I,53,Adeliza of Louvain,18,1121
+Stephen,29,Matilda of Boulogne,20,1125
+Henry II,19,Eleanor of Aquitaine,30,1152
+Henry the Young King,5,Margaret of France,3,1160
+Richard I,34,Berengaria of Navarre,26,1191
+John,23,Isabel of Gloucester,16,1189
+John,34,Isabella of Angoulême,12,1200
+Henry III,29,Eleanor of Provence,13,1236
+Edward I,15,Eleanor of Castile,13,1254
+Edward I,60,Margaret of France,20,1299
+Edward II,24,Isabella of France,13,1308
+Edward III,16,Philippa of Hainault,14,1328
+Richard II,15,Anne of Bohemia,16,1382
+Richard II,29,Isabella of Valois,7,1396
+Henry IV,14,Mary de Bohun,12,1380
+Henry IV,37,Joanna of Navarre,33,1403
+Henry V,34,Catherine of Valois,19,1420
+Henry VI,24,Margaret of Anjou,15,1445
+Edward IV,22,Elizabeth Woodville,27,1464
+Edward V,–,–,–,–
+Richard III,20,Anne Neville,16,1472
+Henry VII,29,Elizabeth of York,20,1486
+Henry VIII,18,Catherine of Aragon,24,1509
+Henry VIII,42,Anne Boleyn,32,1533
+Henry VIII,45,Jane Seymour,28,1536
+Henry VIII,49,Anne of Cleves,25,1540
+Henry VIII,49,Catherine Howard,19,1540
+Henry VIII,52,Catherine Parr,31,1543
+Edward VI,–,–,–,–
+Mary I,38,Philip II of Spain,27,1554
+Elizabeth I,–,–,–,–
+James I,23,Anne of Denmark,15,1589
+Charles I,25,Henrietta Maria of France,16,1625
+Charles II,32,Catherine of Braganza,24,1662
+James II,27,Anne Hyde,22,1660
+James II,40,Mary of Modena,15,1673
+Mary II,15,William III,27,1677
+William III,27,Mary II,15,1677
+Anne,18,George of Denmark,30,1683
+George I,22,Sophia Dorothea of Brunswick-Lueneburg-Celle,16,1682
+George II,22,Caroline of Ansbach,22,1705
+George III,23,Charlotte of Mecklenburg-Strelitz,17,1761
+George IV,23,Maria Anne Fitzherbert,29,1785
+George IV,33,Caroline of Brunswick,27,1795
+William IV,53,Adelaide of Saxe-Meiningen,26,1818
+Victoria,21,Albert of Saxe-Coburg and Gotha,21,1840
+Edward VII,22,Alexandra of Denmark,19,1863
+George V,28,Mary of Teck,26,1893
+Edward VIII,43,Wallis Warfield Simpson,41,1937
+George VI,28,Elizabeth Bowes-Lyon,23,1923
+Elizabeth II,21,Philip of Greece and Denmark,26,1947

data/curated/enmoma/instructions.md

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+# How to Submit a Dataset
+
+To submit a dataset there are a few steps:
+
+1. Find a dataset.
+2. Prepare your repository.
+3. Prepare the dataset.
+
+## Find a dataset
+
+Find a dataset that would be good for TidyTuesday: either one that is already ready for analysis, or one that you can clean so that it meets the criteria. 
+These are the requirements for a dataset:
+* Files are `.csv` files.
+* The whole dataset (all files) is less than 20MB.
+* You can describe each variable (either using an existing data dictionary or by creating your own).
+* The data is publicly available and free for reuse, either with or without attribution.
+
+You will also need:
+* The source of the dataset
+* An article about the dataset or that uses the dataset
+* At least one image related to or using the dataset
+
+## Prepare your repository
+
+To submit datasets, we use a fork/branch approach. 
+You're going to fork this repository, and then create a branch in your forked repository to submit the pull request. 
+
+1. Fork the tidytuesday repository (this one).
+2. Create a new branch in that fork, with something similar to the name of the dataset you're submitting. For instance if it's a dataset on American baseball, something like "american-baseball"" or "baseball" works. 
+3. Do the next steps in this fork/branch.
+
+## Prepare the dataset
+
+These instructions are for preparing a dataset using the R programming language.
+We hope to provide instructions for other programming languages soon.
+
+1. Navigate to the `data/curated` folder in your branch of the repository. 
+2. Make a copy of the `template` folder for your dataset, inside the `curated` folder. Name it something descriptive, like "funspotr" or "ttmeta", not "my_dataset".
+3. Navigate to the folder you just created. That's where you're going to do your work.
+4. `cleaning.R`: Modify the `cleaning.R` file to get and clean the data. 
+  * Write the code to download and clean the data in `cleaning.R`.
+  * If you're getting the data from a github repo, remember to use the 'raw' version of the URL.
+5. `saving.R`: Use`saving.R` to save your datasets. This creates the `.csv` file(s), and the data dictionary template file(s).
+6. `{dataset}.md`: Edit the `{dataset}.md` files to describe your datasets. There should be one file for each dataset saved in step 5. Most likely you only need to fill in the "description" column with a description of each variable.
+7. `intro.md`: Edit the `intro.md` file to describe your dataset.
+8. Find at least one image for your dataset, and ideally 2. These often come from the article about your dataset. Save the images in your folder as `png` files.
+9. `meta.yaml`: Edit `meta.yaml` to provide information about your dataset.
+
+### Submit your pull request with the data
+
+1. Commit the changes with this folder to your branch.
+2. Submit a pull request to https://github.com/rfordatascience/tidytuesday.

data/curated/enmoma/intro.md

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+# English Monarchs and Marriages 
+
+This week we are exploring [English Monarchs and Marriages](https://github.com/frankiethull/english_monarch_marriages)! 
+
+> this dataset focuses on the names, ages, and marriages of various 'kings' and 'consorts'. the data ranges all the way back to 850 where the details are a bit fuzzy, spanning all the way to current day. names contain special characters; ages & years can be a bit of a regex puzzle as well. additionally, the age of kings and consorts may show quite a bit of an age gap. 
+
+The data was scraped from [Ian Visits](https://www.ianvisits.co.uk/articles/a-list-of-monarchs-by-marriage-6857/).

data/curated/enmoma/meta.yaml

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+title: English Monarchs and Marriages | Names, Ages, and Historical Years
+article:
+  title: monarchs and marriages
+  url: github.com/frankiethull/english_monarch_marriages
+data_source:
+  title: A list of Monarchs by marriage
+  url: https://www.ianvisits.co.uk/articles/a-list-of-monarchs-by-marriage-6857/
+images:
+# Please include at least one image, and up to three images
+- file: gg_enmoma.png
+  alt: Chart showing the relationship between the year of marriage and the age of king/consort. The x-axis lists the years and the y-axis represents the age range. The chart indicates that the average age of marriage for a consort being much lower than king's age

data/curated/enmoma/saving.R

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+source("data/curated/enmoma/cleaning.R")
+
+# like this?
+dir_name <- "data/curated/enmoma/english-monarchs-and-marriages.csv"
+
+# ??ttsave ?? 
+# how do I use ttsave, tried looking around tidytuesdayR::: ? 
+# ttsave(df, dir_name = dir_name)
+readr::write_csv(df, dir_name)