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Adding dataset for 2023-04-25 (#553)
* Adding dataset for 2023-04-25 * Delete duplicate tt_data_type.csv * Update data/2023/2023-04-25/post_vars.json --------- Co-authored-by: Jon Harmon <[email protected]>
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‎README.md‎

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| 14 | `2023-04-04` | [Premier League Match Data](data/2023/2023-04-04/readme.md) | [Premier League Match Data 2021-2022](https://www.kaggle.com/datasets/evangower/premier-league-match-data) | [Who wins the EPL if games end at half time?](https://www.kaggle.com/code/evangower/who-wins-the-epl-if-games-end-at-half-time/) |
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| 15 | `2023-04-11` | [US Egg Production Data](data/2023/2023-04-11/readme.md) | [US Egg Production Data 2007-2021](https://osf.io/z2gxn/) | [The Humane League Labs US Egg Production Dataset](https://thehumaneleague.org/article/E008R01-us-egg-production-data) |
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| 16 | `2023-04-18` | [Neolithic Founder Crops](data/2023/2023-04-18/readme.md) | [The "Neolithic Founder Crops"" in Southwest Asia: Research Compendium](https://github.com/joeroe/SWAsiaNeolithicFounderCrops/) | [Revisiting the concept of the 'Neolithic Founder Crops' in southwest Asia](https://link.springer.com/article/10.1007/s00334-023-00917-1) |
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| 17 | `2023-04-25` | [London Marathon](data/2023/2023-04-25/readme.md) | [London Marathon R package](https://github.com/nrennie/LondonMarathon) | [Scraping London Marathon data with {rvest}](https://nrennie.rbind.io/blog/web-scraping-rvest-london-marathon/) |
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‎data/2023/2023-04-25/london_marathon.csv‎

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Date,Year,Applicants,Accepted,Starters,Finishers,Raised,Official charity
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1981-03-29,1981,20000,7747,7055,6255,NA,NA
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1982-05-09,1982,90000,18059,16350,15116,NA,NA
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1983-04-17,1983,60000,19735,16500,15793,NA,NA
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1984-05-13,1984,70000,21142,16992,15675,NA,NA
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1985-04-21,1985,83000,22274,17500,15873,NA,NA
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1986-04-20,1986,80000,25566,19261,18067,NA,British Sports Association for the Disabled (autistic)
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1987-05-10,1987,80000,28364,21485,19586,NA,Farnham Park Trust
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1988-04-17,1988,73000,29979,22469,20932,NA,SportsAid
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1989-04-23,1989,72000,31772,24452,22701,NA,The Evelina Family TrustSpecial Olympics
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1990-04-22,1990,73000,34882,26500,25013,NA,Battle of Britain AppealCommunity Action Trust
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1991-04-21,1991,79000,33485,24500,23435,NA,Action on AddictionRoyal Marsden Cancer Research
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1992-04-12,1992,83000,34250,24500,23833,NA,Guy's HospitalEvelina London Children's HospitalTuskforce
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1993-04-18,1993,68000,35820,25000,24495,NA,St John AmbulanceSnowden Award Scheme
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1994-04-17,1994,72000,37379,26000,25242,NA,British Heart FoundationChildline
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1995-04-02,1995,79000,39097,27000,25377,NA,Leonard Cheshire DisabilityCancer Relief Macmillan
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1996-04-21,1996,68000,39173,27134,26806,NA,British Heart FoundationNational Asthma Campaign
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1997-04-13,1997,78000,39813,29500,29189,NA,British Heart FoundationNSPCC
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1998-04-26,1998,96000,42228,30663,29972,NA,"Age ConcernDiana, Princess of Wales Memorial Fund"
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1999-04-18,1999,87000,43774,31582,30849,NA,Whizz-KidzLeukaemia Research
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2000-04-16,2000,93000,42596,32620,31698,NA,Mencap
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2001-04-22,2001,92000,43517,31156,30318,NA,MS Society
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2002-04-14,2002,99000,46083,33297,32950,NA,Outward BoundFCWL
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2003-04-13,2003,111000,45629,32746,32324,NA,Shelter
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2004-04-18,2004,108000,45219,32746,32012,NA,SenseBritish Heart Foundation
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2005-04-17,2005,132000,47969,35600,35300,NA,Help the Hospices
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2006-04-23,2006,119000,47020,33578,33250,NA,The Stroke AssociationAnthony Nolan
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2007-04-22,2007,128000,50039,36396,35729,46.5,WellChild
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2008-04-13,2008,120000,48630,35037,34637,46.7,Heart UKSpinal Injuries Association
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2009-04-26,2009,155000,49995,35884,35404,47.2,The Children's Trust
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2010-04-25,2010,163000,51378,36956,36666,50.6,CLIC Sargent
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2011-04-17,2011,163926,50532,35303,34872,51.8,Oxfam
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2012-04-22,2012,170150,50200,37227,36812,52.8,TeamPB (Prostate Cancer Charity)(Breast Cancer Care)
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2013-04-21,2013,167449,48323,34631,34381,53,YouthNetAge UK
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2014-04-13,2014,169682,49872,36337,35977,53.2,Anthony Nolan
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2015-04-26,2015,172888,51696,38020,37793,54.1,Cancer Research UK
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2016-04-24,2016,247069,53152,39523,39140,59.4,NSPCC
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2017-04-23,2017,253930,53229,40048,39487,61.5,Heads Together
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2018-04-22,2018,386050,54685,40926,40220,63.7,Teenage Cancer Trust
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2019-04-28,2019,414168,56398,42906,42549,66.4,Dementia Revolution
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2020-10-04,2020,457861,77,77,61,NA,Mencap
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2021-10-03,2021,NA,NA,NA,NA,NA,NA
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2022-10-02,2022,NA,NA,NA,NA,NA,British Heart Foundation

‎data/2023/2023-04-25/pic1.png‎

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‎data/2023/2023-04-25/pic2.png‎

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‎data/2023/2023-04-25/post_vars.json‎

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{
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"article_link": "https://nrennie.rbind.io/blog/web-scraping-rvest-london-marathon/",
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"pic1_alt": "Hex logo of LondonMarathon R package. Background of the hex is an aerial photo of the Thames River and downtown London, and LondonMarathon is written on it, overlaid in red font.",
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"pic2_alt": "Horizontal bar chart of the nationality of London Marathon winner, created by Nicola Rennie. Highest number of wins is at the top, and lowest is at the bottom. These are the nations and their number of winners. United Kingdom 44, Kenya 30, United States 11, Switzerland 10, Ethiopia 9, Norway 7, Iceland 6, Mexico 5, Germany 5, Portugal 4, Italy 4, Canada 4, Sweden 3, Japan 3, France 3, Denmark 3, Austraila 3, Poland 2, Morocco 2, Spain 1, Soviet Union 1, Netherlands 1, China 1, Belgium 1"
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}

‎data/2023/2023-04-25/readme.md‎

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### Please add alt text to your posts
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Please add alt text (alternative text) to all of your posted graphics for `#TidyTuesday`.
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Twitter provides [guidelines](https://help.twitter.com/en/using-twitter/picture-descriptions) for how to add alt text to your images.
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The DataViz Society/Nightingale by way of Amy Cesal has an [article](https://medium.com/nightingale/writing-alt-text-for-data-visualization-2a218ef43f81) on writing _good_ alt text for plots/graphs.
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> Here’s a simple formula for writing alt text for data visualization:
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> ### Chart type
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> It’s helpful for people with partial sight to know what chart type it is and gives context for understanding the rest of the visual.
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> Example: Line graph
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> ### Type of data
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> What data is included in the chart? The x and y axis labels may help you figure this out.
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> Example: number of bananas sold per day in the last year
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> ### Reason for including the chart
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> Think about why you’re including this visual. What does it show that’s meaningful. There should be a point to every visual and you should tell people what to look for.
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> Example: the winter months have more banana sales
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> ### Link to data or source
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> Don’t include this in your alt text, but it should be included somewhere in the surrounding text. People should be able to click on a link to view the source data or dig further into the visual. This provides transparency about your source and lets people explore the data.
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> Example: Data from the USDA
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Penn State has an [article](https://accessibility.psu.edu/images/charts/) on writing alt text descriptions for charts and tables.
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> Charts, graphs and maps use visuals to convey complex images to users. But since they are images, these media provide serious accessibility issues to colorblind users and users of screen readers. See the [examples on this page](https://accessibility.psu.edu/images/charts/) for details on how to make charts more accessible.
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The `{rtweet}` package includes the [ability to post tweets](https://docs.ropensci.org/rtweet/reference/post_tweet.html) with alt text programatically.
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Need a **reminder**? There are [extensions](https://chrome.google.com/webstore/detail/twitter-required-alt-text/fpjlpckbikddocimpfcgaldjghimjiik/related) that force you to remember to add Alt Text to Tweets with media.
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# London Marathon
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The data this week comes from Nicola Rennie's [LondonMarathon R package](https://github.com/nrennie/LondonMarathon). This is an R package containing two data sets scraped from Wikipedia (1 November 2022) on London Marathon winners, and some general data. How the dataset was created, and some analysis, is described in Nicola's post ["Scraping London Marathon data with {rvest}"](https://nrennie.rbind.io/blog/web-scraping-rvest-london-marathon/). Thank you for putting this dataset together @nrennie!
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### Get the data here
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```{r}
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# Get the Data
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# Read in with tidytuesdayR package
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# Install from CRAN via: install.packages("tidytuesdayR")
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# This loads the readme and all the datasets for the week of interest
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# Either ISO-8601 date or year/week works!
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tuesdata <- tidytuesdayR::tt_load('2023-04-25')
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tuesdata <- tidytuesdayR::tt_load(2023, week = 17)
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winners <- tuesdata$winners
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london_marathon <- tuesdata$london_marathon
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# Or read in the data manually
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winners <- readr::read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2023/2023-04-25/winners.csv')
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london_marathon <- readr::read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2023/2023-04-25/london_marathon.csv')
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```
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### Data Dictionary
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# `winners.csv`
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|variable |class |description |
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|:-----------|:---------|:-----------|
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|Category |character |Category of race |
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|Year |double |Year |
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|Athlete |character |Name of the winner |
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|Nationality |character |Nationality of the winner |
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|Time |double |Winning time |
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# `london_marathon.csv`
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|variable |class |description |
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|:----------------|:---------|:----------------|
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|Date |double |Date of the race |
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|Year |double |Year |
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|Applicants |double |Number of people who applied |
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|Accepted |double |Number of people accepted |
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|Starters |double |Number of people who started |
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|Finishers |double |Number of people who finished |
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|Raised |double |Amount raised for charity (£ millions) |
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|Official charity |character |Official charity |
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### Cleaning Script
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No data cleaning

‎data/2023/2023-04-25/winners.csv‎

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Category,Year,Athlete,Nationality,Time
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Men,1981,Dick Beardsley (Tie),United States,02:11:48
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Men,1981,Inge Simonsen (Tie),Norway,02:11:48
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Men,1982,Hugh Jones,United Kingdom,02:09:24
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Men,1983,Mike Gratton,United Kingdom,02:09:43
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Men,1984,Charlie Spedding,United Kingdom,02:09:57
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Men,1985,Steve Jones,United Kingdom,02:08:16
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Men,1986,Toshihiko Seko,Japan,02:10:02
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Men,1987,Hiromi Taniguchi,Japan,02:09:50
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Men,1988,Henrik Jørgensen,Denmark,02:10:20
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Men,1989,Douglas Wakiihuri,Kenya,02:09:03
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Men,1990,Allister Hutton,United Kingdom,02:10:10
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Men,1991,Yakov Tolstikov,Soviet Union,02:09:17
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Men,1992,António Pinto,Portugal,02:10:02
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Men,1993,Eamonn Martin,United Kingdom,02:10:50
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Men,1994,Dionicio Cerón,Mexico,02:08:53
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Men,1995,Dionicio Cerón,Mexico,02:08:30
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Men,1996,Dionicio Cerón,Mexico,02:10:00
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Men,1997,António Pinto,Portugal,02:07:55
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Men,1998,Abel Antón,Spain,02:07:57
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Men,1999,Abdelkader El Mouaziz,Morocco,02:07:57
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Men,2000,António Pinto,Portugal,02:06:36
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Men,2001,Abdelkader El Mouaziz,Morocco,02:07:09
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Men,2002,Khalid Khannouchi,United States,02:05:38
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Men,2003,Gezahegne Abera,Ethiopia,02:07:56
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Men,2004,Evans Rutto,Kenya,02:06:18
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Men,2005,Martin Lel,Kenya,02:07:35
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Men,2006,Felix Limo,Kenya,02:06:39
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Men,2007,Martin Lel,Kenya,02:07:41
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Men,2008,Martin Lel,Kenya,02:05:15
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Men,2009,Samuel Wanjiru,Kenya,02:05:10
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Men,2010,Tsegaye Kebede,Ethiopia,02:05:19
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Men,2011,Emmanuel Kipchirchir Mutai,Kenya,02:04:40
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Men,2012,Wilson Kipsang Kiprotich,Kenya,02:04:44
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Men,2013,Tsegaye Kebede,Ethiopia,02:06:04
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Men,2014,Wilson Kipsang Kiprotich,Kenya,02:04:29
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Men,2015,Eliud Kipchoge,Kenya,02:04:42
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Men,2016,Eliud Kipchoge,Kenya,02:03:05
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Men,2017,Daniel Wanjiru,Kenya,02:05:48
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Men,2018,Eliud Kipchoge,Kenya,02:04:17
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Men,2019,Eliud Kipchoge,Kenya,02:02:37
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Men,2020,Shura Kitata Tola,Ethiopia,02:05:58
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Men,2021,Sisay Lemma,Ethiopia,02:04:01
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Men,2022,Amos Kipruto,Kenya,02:04:39
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Women,1981,Joyce Smith,United Kingdom,02:29:57
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Women,1982,Joyce Smith,United Kingdom,02:29:43
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Women,1983,Grete Waitz,Norway,02:25:29
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Women,1984,Ingrid Kristiansen,Norway,02:24:26
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Women,1985,Ingrid Kristiansen,Norway,02:21:06
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Women,1986,Grete Waitz,Norway,02:24:54
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Women,1987,Ingrid Kristiansen,Norway,02:22:48
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Women,1988,Ingrid Kristiansen,Norway,02:25:41
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Women,1989,Véronique Marot,United Kingdom,02:25:56
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Women,1990,Wanda Panfil,Poland,02:26:31
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Women,1991,Rosa Mota,Portugal,02:26:14
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Women,1992,Katrin Dörre-Heinig,Germany,02:29:39
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Women,1993,Katrin Dörre-Heinig,Germany,02:27:09
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Women,1994,Katrin Dörre-Heinig,Germany,02:32:34
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Women,1995,Małgorzata Sobańska,Poland,02:27:43
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Women,1996,Liz McColgan,United Kingdom,02:27:54
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Women,1997,Joyce Chepchumba,Kenya,02:26:51
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Women,1998,Catherina McKiernan,Ireland,02:26:26
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Women,1999,Joyce Chepchumba,Kenya,02:23:22
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Women,2000,Tegla Loroupe,Kenya,02:24:33
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Women,2001,Derartu Tulu,Ethiopia,02:23:57
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Women,2002,Paula Radcliffe,United Kingdom,02:18:56
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Women,2003,Paula Radcliffe,United Kingdom,02:15:25
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Women,2004,Margaret Okayo,Kenya,02:22:35
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Women,2005,Paula Radcliffe,United Kingdom,02:17:42
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Women,2006,Deena Kastor,United States,02:19:35
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Women,2007,Zhou Chunxiu,China,02:20:38
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Women,2008,Irina Mikitenko,Germany,02:24:14
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Women,2009,Irina Mikitenko,Germany,02:22:11
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Women,2010,Aselefech Mergia,Ethiopia,02:22:38
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Women,2011,Mary Jepkosgei Keitany,Kenya,02:19:19
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Women,2012,Mary Jepkosgei Keitany,Kenya,02:18:37
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Women,2013,Priscah Jeptoo,Kenya,02:20:15
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Women,2014,Edna Kiplagat,Kenya,02:20:21
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Women,2015,Tigist Tufa,Ethiopia,02:23:21
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Women,2016,Jemima Sumgong,Kenya,02:22:58
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Women,2017,Mary Jepkosgei Keitany,Kenya,02:17:01
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Women,2018,Vivian Cheruiyot,Kenya,02:18:31
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Women,2019,Brigid Kosgei,Kenya,02:18:20
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Women,2020,Brigid Kosgei,Kenya,02:18:58
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Women,2021,Joyciline Jepkosgei,Kenya,02:17:43
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Women,2022,Yalemzerf Yehualaw,Ethiopia,02:17:26
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Wheelchair Men,1983,Gordon Perry,United Kingdom,03:20:07
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Wheelchair Men,1984,Kevin Breen,Ireland,02:38:40
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Wheelchair Men,1985,Chris Hallam,United Kingdom,02:19:53
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Wheelchair Men,1986,Gerry O'Rourke,Ireland,02:26:38
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Wheelchair Men,1987,Chris Hallam,United Kingdom,02:08:34
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Wheelchair Men,1988,Ted Vince,Canada,02:01:37
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Wheelchair Men,1989,David Holding,United Kingdom,01:59:31
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Wheelchair Men,1990,Håkan Ericsson,Sweden,01:57:12
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Wheelchair Men,1991,Farid Amarouche,France,01:52:52
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Wheelchair Men,1992,Daniel Wesley,Canada,01:51:42
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Wheelchair Men,1993,George Vandamme,Belgium,01:44:10
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Wheelchair Men,1994,David Holding,United Kingdom,01:46:06
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Wheelchair Men,1995,Heinz Frei,Switzerland,01:39:14
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Wheelchair Men,1996,David Holding,United Kingdom,01:43:48
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Wheelchair Men,1997,David Holding,United Kingdom,01:42:15
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Wheelchair Men,1998,Heinz Frei,Switzerland,01:35:18
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Wheelchair Men,1999,Heinz Frei,Switzerland,01:35:27
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Wheelchair Men,2000,Kevin Papworth,United Kingdom,01:41:50
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Wheelchair Men,2001,Denis Lemeunier,France,01:42:37
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Wheelchair Men,2002,David Weir,United Kingdom,01:39:44
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Wheelchair Men,2003,Joël Jeannot,France,01:32:02
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Wheelchair Men,2004,Saúl Mendoza,Mexico,01:36:56
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Wheelchair Men,2005,Saúl Mendoza,Mexico,01:35:51
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Wheelchair Men,2006,David Weir,United Kingdom,01:29:48
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Wheelchair Men,2007,David Weir,United Kingdom,01:30:51
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Wheelchair Men,2008,David Weir,United Kingdom,01:33:56
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Wheelchair Men,2009,Kurt Fearnley,Australia,01:28:57
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Wheelchair Men,2010,Josh Cassidy,Canada,01:35:21
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Wheelchair Men,2011,David Weir,United Kingdom,01:30:05
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Wheelchair Men,2012,David Weir,United Kingdom,01:32:26
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Wheelchair Men,2013,Kurt Fearnley,Australia,01:31:29
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Wheelchair Men,2014,Marcel Hug,Switzerland,01:32:41
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Wheelchair Men,2015,Josh George,United States,01:31:31
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Wheelchair Men,2016,Marcel Hug,Switzerland,01:35:19
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Wheelchair Men,2017,David Weir,United Kingdom,01:31:06
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Wheelchair Men,2018,David Weir,United Kingdom,01:31:15
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Wheelchair Men,2019,Daniel Romanchuk,United States,01:33:37
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Wheelchair Men,2020,Brent Lakatos,Canada,01:36:04
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Wheelchair Men,2021,Marcel Hug,Switzerland,01:26:27
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Wheelchair Women,1983,Denise Smith,United Kingdom,04:29:03
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Wheelchair Women,1984,Kay McShane,Ireland,03:10:04
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Wheelchair Women,1985,Kay McShane,Ireland,02:47:12
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Wheelchair Women,1986,Kay McShane,Ireland,03:02:40
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Wheelchair Women,1987,Karen Davidson,United Kingdom,02:45:30
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Wheelchair Women,1988,Karen Davidson,United Kingdom,02:41:45
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Wheelchair Women,1989,Josie Cichockyj,United Kingdom,03:03:54
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Wheelchair Women,1990,Connie Hansen,Denmark,02:10:25
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Wheelchair Women,1991,Connie Hansen,Denmark,02:04:40
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Wheelchair Women,1992,Tanni Grey-Thompson,United Kingdom,02:17:23
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Wheelchair Women,1993,Rose Hill,United Kingdom,02:03:05
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Wheelchair Women,1994,Tanni Grey-Thompson,United Kingdom,02:08:26
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Wheelchair Women,1995,Rose Hill,United Kingdom,02:17:02
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Wheelchair Women,1996,Tanni Grey-Thompson,United Kingdom,02:00:10
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Wheelchair Women,1997,Monica Wetterström,Sweden,01:49:09
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Wheelchair Women,1998,Tanni Grey-Thompson,United Kingdom,02:02:01
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Wheelchair Women,1999,Monica Wetterström,Sweden,01:57:38
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Wheelchair Women,2000,Sarah Piercy,United Kingdom,02:23:30
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Wheelchair Women,2001,Tanni Grey-Thompson,United Kingdom,02:13:55
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Wheelchair Women,2002,Tanni Grey-Thompson,United Kingdom,02:22:51
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Wheelchair Women,2003,Francesca Porcellato,Italy,02:04:21
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Wheelchair Women,2004,Francesca Porcellato,Italy,02:04:58
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Wheelchair Women,2005,Francesca Porcellato,Italy,01:57:00
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Wheelchair Women,2006,Francesca Porcellato,Italy,01:59:57
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Wheelchair Women,2007,Shelly Woods,United Kingdom,01:50:40
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Wheelchair Women,2008,Sandra Graf,Switzerland,01:48:04
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Wheelchair Women,2009,Amanda McGrory,United States,01:50:39
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Wheelchair Women,2010,Wakako Tsuchida,Japan,01:52:33
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Wheelchair Women,2011,Amanda McGrory,United States,01:46:31
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Wheelchair Women,2012,Shelly Woods,United Kingdom,01:49:10
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Wheelchair Women,2013,Tatyana McFadden,United States,01:46:02
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Wheelchair Women,2014,Tatyana McFadden,United States,01:45:12
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Wheelchair Women,2015,Tatyana McFadden,United States,01:41:14
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Wheelchair Women,2016,Tatyana McFadden,United States,01:44:14
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Wheelchair Women,2017,Manuela Schär,Switzerland,01:39:57
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Wheelchair Women,2018,Madison de Rozario,Australia,01:42:58
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Wheelchair Women,2019,Manuela Schär,Switzerland,01:44:09
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Wheelchair Women,2020,Nikita den Boer,Netherlands,01:40:07
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Wheelchair Women,2021,Manuela Schär,Switzerland,01:39:52

‎data/2023/readme.md‎

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2020
| 14 | `2023-04-04` | [Premier League Match Data](2023-04-04/readme.md) | [Premier League Match Data 2021-2022](https://www.kaggle.com/datasets/evangower/premier-league-match-data) | [Who wins the EPL if games end at half time?](https://www.kaggle.com/code/evangower/who-wins-the-epl-if-games-end-at-half-time/notebook?scriptVersionId=109590220) |
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| 15 | `2023-04-11` | [US Egg Production Data](2023-04-11/readme.md) | [US Egg Production Data 2007-2021](https://osf.io/z2gxn/) | [The Humane League Labs US Egg Production Dataset](https://thehumaneleague.org/article/E008R01-us-egg-production-data) |
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| 16 | `2023-04-18` | [Neolithic Founder Crops](2023-04-18/readme.md) | [The "Neolithic Founder Crops"" in Southwest Asia: Research Compendium](https://github.com/joeroe/SWAsiaNeolithicFounderCrops/) | [Revisiting the concept of the 'Neolithic Founder Crops' in southwest Asia](https://link.springer.com/article/10.1007/s00334-023-00917-1) |
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| 17 | `2023-04-25` | [London Marathon](2023-04-25/readme.md) | [London Marathon R package](https://github.com/nrennie/LondonMarathon) | [Scraping London Marathon data with {rvest}](https://nrennie.rbind.io/blog/web-scraping-rvest-london-marathon/) |

‎static/tt_data_type.csv‎

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