diff --git a/_data/datapackage_additions.toml b/_data/datapackage_additions.toml index 959226c3..e825c032 100644 --- a/_data/datapackage_additions.toml +++ b/_data/datapackage_additions.toml @@ -205,6 +205,59 @@ path = "https://www.gapminder.org/free-material/" [[resources]] # Path: crimea.json path = "crimea.json" +description = """ +This dataset, which informed Florence Nightingale's groundbreaking work in public health, details +monthly mortality rates from British military hospitals during the Crimean War (1854-1856). + +Nightingale credits Dr. William Farr for compiling the data from the 1858 [Medical and Surgical +History of the British Army](http://resource.nlm.nih.gov/62510370R). The dataset categorizes +deaths into "zymotic" diseases (preventable infectious diseases), wounds/injuries, and other causes. +Covering the period from April 1854 to March 1856, the dataset includes monthly army strength +alongside mortality figures. Nightingale transformed this data into her now-famous [polar area +diagrams](https://iiif.lib.harvard.edu/manifests/view/drs:7420433$25i). + +The annual mortality rates plotted in the chart can be calculated from the dataset using the formula +> (Deaths × 1000 × 12) ÷ Army Size. + +As [The Lancet](https://pmc.ncbi.nlm.nih.gov/articles/PMC7252134/) argued in 2020, Nightingale's +innovative visualizations proved that "far more men died of disease, infection, and exposure +than in battle—a fact that shocked the British nation." Her work also vividly illustrated +the dramatic impact of sanitary reforms, particularly in reducing preventable deaths.""" + +[resources.schema] +[[resources.schema.fields]] +name = "date" +description = "First day of each month during the observation period, in ISO 8601 format (YYYY-MM-DD)" + +[[resources.schema.fields]] +name = "wounds" +description = """ +Deaths from "Wounds and Injuries" which comprised: Luxatio (dislocation), \ +Sub-Luxatio (partial dislocation), Vulnus Sclopitorum (gunshot wounds), Vulnus Incisum (incised wounds), \ +Contusio (bruising), Fractura (fractures), Ambustio (burns) and Concussio-Cerebri (brain concussion) +""" + +[[resources.schema.fields]] +name = "other" +description = "Deaths from All Other Causes" + +[[resources.schema.fields]] +name = "disease" +description = "Deaths from Zymotic Diseases (preventable infectious diseases)" + +[[resources.schema.fields]] +name = "army_size" +description = "Estimated Average Monthly Strength of the Army" + +[[resources.sources]] +title = """ +Nightingale, Florence. A contribution to the sanitary history of the British army \ +during the late war with Russia. London : John W. Parker and Son, 1859. Table II. \ +Table showing the Estimated Average Monthly Strength of the Army; and the Deaths and \ +Annual Rate of Mortality per 1,000 in each month, from April 1854, to March 1856 (inclusive), \ +in the Hospitals of the Army in the East. +""" +path = "https://nrs.lib.harvard.edu/urn-3:hms.count:1177146?n=21" [[resources]] # Path: disasters.csv path = "disasters.csv" diff --git a/data/crimea.json b/data/crimea.json index a662dcb8..d2df500c 100644 --- a/data/crimea.json +++ b/data/crimea.json @@ -1,26 +1,26 @@ [ - { "date": "1854-04-01", "wounds": 0, "other": 110, "disease": 110 }, - { "date": "1854-05-01", "wounds": 0, "other": 95, "disease": 105 }, - { "date": "1854-06-01", "wounds": 0, "other": 40, "disease": 95 }, - { "date": "1854-07-01", "wounds": 0, "other": 140, "disease": 520 }, - { "date": "1854-08-01", "wounds": 20, "other": 150, "disease": 800 }, - { "date": "1854-09-01", "wounds": 220, "other": 230, "disease": 740 }, - { "date": "1854-10-01", "wounds": 305, "other": 310, "disease": 600 }, - { "date": "1854-11-01", "wounds": 480, "other": 290, "disease": 820 }, - { "date": "1854-12-01", "wounds": 295, "other": 310, "disease": 1100 }, - { "date": "1855-01-01", "wounds": 230, "other": 460, "disease": 1440 }, - { "date": "1855-02-01", "wounds": 180, "other": 520, "disease": 1270 }, - { "date": "1855-03-01", "wounds": 155, "other": 350, "disease": 935 }, - { "date": "1855-04-01", "wounds": 195, "other": 195, "disease": 560 }, - { "date": "1855-05-01", "wounds": 180, "other": 155, "disease": 550 }, - { "date": "1855-06-01", "wounds": 330, "other": 130, "disease": 650 }, - { "date": "1855-07-01", "wounds": 260, "other": 130, "disease": 430 }, - { "date": "1855-08-01", "wounds": 290, "other": 110, "disease": 490 }, - { "date": "1855-09-01", "wounds": 355, "other": 100, "disease": 290 }, - { "date": "1855-10-01", "wounds": 135, "other": 95, "disease": 245 }, - { "date": "1855-11-01", "wounds": 100, "other": 140, "disease": 325 }, - { "date": "1855-12-01", "wounds": 40, "other": 120, "disease": 215 }, - { "date": "1856-01-01", "wounds": 0, "other": 160, "disease": 160 }, - { "date": "1856-02-01", "wounds": 0, "other": 100, "disease": 100 }, - { "date": "1856-03-01", "wounds": 0, "other": 125, "disease": 90 } -] + { "date": "1854-04-01", "wounds": 0, "other": 5, "disease": 1, "army_size": 8571 }, + { "date": "1854-05-01", "wounds": 0, "other": 9, "disease": 12, "army_size": 23333 }, + { "date": "1854-06-01", "wounds": 0, "other": 6, "disease": 11, "army_size": 28333 }, + { "date": "1854-07-01", "wounds": 0, "other": 23, "disease": 359, "army_size": 28722 }, + { "date": "1854-08-01", "wounds": 1, "other": 30, "disease": 828, "army_size": 30246 }, + { "date": "1854-09-01", "wounds": 81, "other": 70, "disease": 788, "army_size": 30290 }, + { "date": "1854-10-01", "wounds": 132, "other": 128, "disease": 503, "army_size": 30643 }, + { "date": "1854-11-01", "wounds": 287, "other": 106, "disease": 844, "army_size": 29736 }, + { "date": "1854-12-01", "wounds": 114, "other": 131, "disease": 1725, "army_size": 32779 }, + { "date": "1855-01-01", "wounds": 83, "other": 324, "disease": 2761, "army_size": 32393 }, + { "date": "1855-02-01", "wounds": 42, "other": 361, "disease": 2120, "army_size": 30919 }, + { "date": "1855-03-01", "wounds": 32, "other": 172, "disease": 1205, "army_size": 30107 }, + { "date": "1855-04-01", "wounds": 48, "other": 57, "disease": 477, "army_size": 32252 }, + { "date": "1855-05-01", "wounds": 49, "other": 37, "disease": 508, "army_size": 35473 }, + { "date": "1855-06-01", "wounds": 209, "other": 31, "disease": 802, "army_size": 38863 }, + { "date": "1855-07-01", "wounds": 134, "other": 33, "disease": 382, "army_size": 42647 }, + { "date": "1855-08-01", "wounds": 164, "other": 25, "disease": 483, "army_size": 44614 }, + { "date": "1855-09-01", "wounds": 276, "other": 20, "disease": 189, "army_size": 47751 }, + { "date": "1855-10-01", "wounds": 53, "other": 18, "disease": 128, "army_size": 46852 }, + { "date": "1855-11-01", "wounds": 33, "other": 32, "disease": 178, "army_size": 37853 }, + { "date": "1855-12-01", "wounds": 18, "other": 28, "disease": 91, "army_size": 43217 }, + { "date": "1856-01-01", "wounds": 2, "other": 48, "disease": 42, "army_size": 44212 }, + { "date": "1856-02-01", "wounds": 0, "other": 19, "disease": 24, "army_size": 43485 }, + { "date": "1856-03-01", "wounds": 0, "other": 35, "disease": 15, "army_size": 46140 } +] \ No newline at end of file diff --git a/datapackage.json b/datapackage.json index 62c9666b..0357e206 100644 --- a/datapackage.json +++ b/datapackage.json @@ -20,7 +20,7 @@ } ], "version": "2.11.0", - "created": "2024-12-21T15:55:19.477787+00:00", + "created": "2024-12-21T16:09:47.521815+00:00", "resources": [ { "name": "7zip.png", @@ -816,12 +816,19 @@ { "name": "crimea.json", "type": "table", + "description": "This dataset, which informed Florence Nightingale's groundbreaking work in public health, details \nmonthly mortality rates from British military hospitals during the Crimean War (1854-1856). \n\nNightingale credits Dr. William Farr for compiling the data from the 1858 [Medical and Surgical \nHistory of the British Army](http://resource.nlm.nih.gov/62510370R). The dataset categorizes \ndeaths into \"zymotic\" diseases (preventable infectious diseases), wounds/injuries, and other causes. \nCovering the period from April 1854 to March 1856, the dataset includes monthly army strength \nalongside mortality figures. Nightingale transformed this data into her now-famous [polar area \ndiagrams](https://iiif.lib.harvard.edu/manifests/view/drs:7420433$25i). \n\nThe annual mortality rates plotted in the chart can be calculated from the dataset using the formula \n> (Deaths × 1000 × 12) ÷ Army Size. \n\nAs [The Lancet](https://pmc.ncbi.nlm.nih.gov/articles/PMC7252134/) argued in 2020, Nightingale's \ninnovative visualizations proved that \"far more men died of disease, infection, and exposure \nthan in battle—a fact that shocked the British nation.\" Her work also vividly illustrated \nthe dramatic impact of sanitary reforms, particularly in reducing preventable deaths.", + "sources": [ + { + "title": "Nightingale, Florence. A contribution to the sanitary history of the British army during the late war with Russia. London : John W. Parker and Son, 1859. Table II. Table showing the Estimated Average Monthly Strength of the Army; and the Deaths and Annual Rate of Mortality per 1,000 in each month, from April 1854, to March 1856 (inclusive), in the Hospitals of the Army in the East.\n", + "path": "https://nrs.lib.harvard.edu/urn-3:hms.count:1177146?n=21" + } + ], "path": "crimea.json", "scheme": "file", "format": "json", "mediatype": "text/json", "encoding": "utf-8", - "bytes": 1737, + "bytes": 2183, "dialect": { "json": { "keyed": true @@ -831,19 +838,28 @@ "fields": [ { "name": "date", - "type": "date" + "type": "date", + "description": "First day of each month during the observation period, in ISO 8601 format (YYYY-MM-DD)" }, { "name": "wounds", - "type": "integer" + "type": "integer", + "description": "Deaths from \"Wounds and Injuries\" which comprised: Luxatio (dislocation), Sub-Luxatio (partial dislocation), Vulnus Sclopitorum (gunshot wounds), Vulnus Incisum (incised wounds), Contusio (bruising), Fractura (fractures), Ambustio (burns) and Concussio-Cerebri (brain concussion)\n" }, { "name": "other", - "type": "integer" + "type": "integer", + "description": "Deaths from All Other Causes" }, { "name": "disease", - "type": "integer" + "type": "integer", + "description": "Deaths from Zymotic Diseases (preventable infectious diseases)" + }, + { + "name": "army_size", + "type": "integer", + "description": "Estimated Average Monthly Strength of the Army" } ] } diff --git a/datapackage.md b/datapackage.md index 0c8a35da..e2c8c7f4 100644 --- a/datapackage.md +++ b/datapackage.md @@ -1,5 +1,5 @@ # vega-datasets -`2.11.0` | [GitHub](http://github.com/vega/vega-datasets.git) | 2024-12-21 15:55:19 [UTC] +`2.11.0` | [GitHub](http://github.com/vega/vega-datasets.git) | 2024-12-21 16:09:47 [UTC] Common repository for example datasets used by Vega related projects. BSD-3-Clause license applies only to package code and infrastructure. Users should verify their use of datasets @@ -328,14 +328,37 @@ big picture" rather than support detailed numeric analysis. ## `crimea.json` ### path crimea.json +### description +This dataset, which informed Florence Nightingale's groundbreaking work in public health, details +monthly mortality rates from British military hospitals during the Crimean War (1854-1856). + +Nightingale credits Dr. William Farr for compiling the data from the 1858 [Medical and Surgical +History of the British Army](http://resource.nlm.nih.gov/62510370R). The dataset categorizes +deaths into "zymotic" diseases (preventable infectious diseases), wounds/injuries, and other causes. +Covering the period from April 1854 to March 1856, the dataset includes monthly army strength +alongside mortality figures. Nightingale transformed this data into her now-famous [polar area +diagrams](https://iiif.lib.harvard.edu/manifests/view/drs:7420433$25i). + +The annual mortality rates plotted in the chart can be calculated from the dataset using the formula +> (Deaths × 1000 × 12) ÷ Army Size. + +As [The Lancet](https://pmc.ncbi.nlm.nih.gov/articles/PMC7252134/) argued in 2020, Nightingale's +innovative visualizations proved that "far more men died of disease, infection, and exposure +than in battle—a fact that shocked the British nation." Her work also vividly illustrated +the dramatic impact of sanitary reforms, particularly in reducing preventable deaths. ### schema -| name | type | -|:--------|:--------| -| date | date | -| wounds | integer | -| other | integer | -| disease | integer | +| name | type | description | +|:----------|:--------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| +| date | date | First day of each month during the observation period, in ISO 8601 format (YYYY-MM-DD) | +| wounds | integer | Deaths from "Wounds and Injuries" which comprised: Luxatio (dislocation), Sub-Luxatio (partial dislocation), Vulnus Sclopitorum (gunshot wounds), Vulnus Incisum (incised wounds), Contusio (bruising), Fractura (fractures), Ambustio (burns) and Concussio-Cerebri (brain concussion) | +| other | integer | Deaths from All Other Causes | +| disease | integer | Deaths from Zymotic Diseases (preventable infectious diseases) | +| army_size | integer | Estimated Average Monthly Strength of the Army | +### sources +| title | path | +|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------| +| Nightingale, Florence. A contribution to the sanitary history of the British army during the late war with Russia. London : John W. Parker and Son, 1859. Table II. Table showing the Estimated Average Monthly Strength of the Army; and the Deaths and Annual Rate of Mortality per 1,000 in each month, from April 1854, to March 1856 (inclusive), in the Hospitals of the Army in the East. | https://nrs.lib.harvard.edu/urn-3:hms.count:1177146?n=21 | ## `disasters.csv` ### path disasters.csv