2b:null 2c:["$","title",null,{"children":"Gender-o-meter: Women do better in 1.500 meters | Jaume | Observable"}] 31:Tfc9,graph1500m = { function dt2sec(v) { var m = v.split(":") return (Number(m[0]*60))+Number(m[1])+Number((Math.floor(m[2]/100))) } function pad(v) { return v < 10 ? '0' + v : String(v) } //Women var ytimeWomen = ["5:18:20", "5:07:00", "5:02:00", "4:47:20", "4:45:20", "4:41:80", "4:38:00", "4:37:80", "4:37:00", "4:35:40", "4:30:00", "4:29:70", "4:19:00", "4:17:30", "4:15:60", "4:12:40", "4:10:77", "4:09:62", "4:06:90", "4:06:47", "4:05:07", "4:01:38", "3:56:00", "3:55:00", "3:52:47", "3:50:46", "3:50:07", "3:50:07"] var woman = { x: [1934, 1936, 1936, 1937, 1940, 1944, 1946, 1952, 1956, 1957, 1957, 1962, , 1967, 1967, 1969, 1969, 1971, 1972, 1972, 1972, 1972, 1976, 1980, 1980, 1993, 2015], y: ytimeWomen.map(dt2sec), fill: 'tozeroy', type: 'scatter', fillcolor: 'rgba(255, 190, 200, 0.5)', hovermode: 'closest', dragmode: 'select', selectdirection: 'h', name: 'Women' }; // Men var ytimeMen = ["4:24:60", "4:21:00", "4:19:08", "4:18:04", "4:16:08", "4:15:06", "4:10:04", "4:09:00", "4:06:02", "4:05:04", "3:59:08", "3:59:02", "3:56:08", "3:55:80", "3:54:70", "3:52:60", "3:51:00", "3:49:20", "3:49:20", "3:49:00", "3:48:80", "3:47:80", "3:47:60", "3:45:80", "3:45:00", "3:43:00", "3:43:00", "3:43:00", "3:42:80", "3:41:80", "3:40:80", "3:40:80", "3:40:80", "3:40:60", "3:40:20", "3:40:20", "3:38:10", "3:36:00", "3:35:60", "3:33:10", "3:32:16", "3:32:03", "3:32:09", "3:31:36", "3:31:24", "3:30:77", "3:29:67", "3:29:46", "3:28:86", "3:27:37", "3:26:00"]; var man = { x: [1892, 1893, 1894, 1895, 1895, 1895, 1896, 1900, 1900, 1904, 1908, 1912, 1912, 1912, 1917, 1924, 1926, 1930, 1933, 1933, 1934, 1936, 1941, 1942, 1943, 1944, 1947, 1952, 1954, 1954, 1955, 1955, 1955, 1956, 1957, 1957, 1957, 1958, 1960, 1967, 1974, 1979, 1980, 1980, 1983, 1983, 1985, 1985, 1992, 1995, 1998], y: ytimeMen.map(dt2sec), fill: 'tonexty', type: 'scatter', fillcolor: 'rgba(0, 50, 200, 0.5)', hovermode: 'closest', name: 'Men' }; var data = [ man,woman]; var annotations=[{x:2015, y:230, xref:'x', yref:'y', text:'Genzebe Dibaba (ETH)
3:50.07 World Record', ax:40, ay:-40}, {x:1926, y:231, xref:'x', yref:'y', text:'Otto Peltzer (GER)
3:51 World Record 1926', ax:20, ay:-40}, {x:1960, y:290, xref:'x', yref:'y', text:'Women progression: 88.13s lowered
in 88 years of WRs
', ax:40, ay:-40}, {x:1908, y:260, xref:'x', yref:'y', text:'Men progression: 61.4s lowered
in 106 years of WRs
', ax:40, ay:-40}] const div = DOM.element('div'); Plotly.newPlot(div, data, { width: width, title : "1500meters World Records", annotations:annotations, xaxis: { title: { text: 'Years' }, range: [1890,2021], spikemode: "across" }, yaxis: { title: { text: 'Time(seconds)', }, range: [200,350], spikemode: "across" //tickformat: '%H:%M:%S' }, updatemenus: [ { x: 0, y: 0, yanchor: 'top', xanchor: 'left', showactive: false, direction: 'left', type: 'buttons', pad: { t: 87, r: 10 }, buttons: [ { method: 'update', args: [ {'visible': [true]}, { 'annotations': annotations } ], label: 'Show Anotacions' },{ method: 'update', args: [ {'visible': [true,true, false, false, false, false, false]}, { 'annotations': null } ], label: 'Hide Anotacions' }] }] }, ); return div; }32:[{"id":"640e2f90f1f53752a294a4748295fca36f93d11f428f78ab11a4971c69a401c95129ef1fcf87434a3eb8d215864a17792643fef4903efe542bc10c7943411c9f","href":"https://static.observableusercontent.com/files/640e2f90f1f53752a294a4748295fca36f93d11f428f78ab11a4971c69a401c95129ef1fcf87434a3eb8d215864a17792643fef4903efe542bc10c7943411c9f","name":"1500m-Men.csv","type":"text/csv","lastModified":1625953828656.646,"size":642},{"id":"d65a6c0e04346ab92795f2e458f6f2b96746aaccda0e4c75e0f03a1e3303ca48579a35c76dc99aaeaddf3684642219f0d53be35bcaf5ab0bf8eeef97afd0345f","href":"https://static.observableusercontent.com/files/d65a6c0e04346ab92795f2e458f6f2b96746aaccda0e4c75e0f03a1e3303ca48579a35c76dc99aaeaddf3684642219f0d53be35bcaf5ab0bf8eeef97afd0345f","name":"1500m-Womenen.csv","type":"text/csv","lastModified":1625953828627.972,"size":362}] 2f:{"id":"85eab5b10fa1257e","slug":"gender-o-meter-1500m","title":"Gender-o-meter: Women do better in 1.500 meters","thumbnail":"2a1fc495ada958f4b06f0f1c86cabfb963d57af7e393c11c82cb8ce6aa15f7c8","access_level":"public","create_time":"$D2021-07-08T15:15:37.152Z","update_time":"$D2022-09-17T22:49:57.343Z","view_time":null,"first_public_time":"$D2021-07-10T12:34:57.903Z","fork":false,"stars":1,"starred":false,"owner":{"type":"team","id":"56e50593bfe6266e","login":"jaumet","name":"Jaume","avatar_url":"https://avatars-next.observableusercontent.com/b2c7fe70708b1da9ab2a7f2eeff7c50402c89318b40ebc73624b52603217be30","tier":"starter_2024"},"version":286,"publish_version":286,"role":null,"authored":false,"authors":[{"type":"individual","id":"eed166f4705e97b7","login":"jaumet","name":"Jaume","avatar_url":"https://avatars-next.observableusercontent.com/b2c7fe70708b1da9ab2a7f2eeff7c50402c89318b40ebc73624b52603217be30","tier":null}],"members":[{"type":"individual","id":"eed166f4705e97b7","login":"jaumet","name":"Jaume","avatar_url":"https://avatars-next.observableusercontent.com/b2c7fe70708b1da9ab2a7f2eeff7c50402c89318b40ebc73624b52603217be30","tier":null,"role":"editor"},{"type":"individual","id":"a0f50e0c5427f5e4","login":"mcanet","name":"Mar Canet","avatar_url":"https://avatars-next.observableusercontent.com/62aa6d025a228a6619a75578519d24ceac7763671f50dd0cf7a9b0766289f72e","tier":null,"role":"editor"}],"comments":[],"custom_thumbnail":false,"trashed":false,"subscribed":null,"forks":1,"collection":{"id":"54e65e5e1b3ecc76","slug":"gender-o-meter","title":"Gender-o-meter","owner":{"id":"56e50593bfe6266e","login":"jaumet","name":"Jaume"}},"type":"notebook","body":{"title":"Gender-o-meter: Women do better in 1.500 meters","cells":[{"id":147,"value":"md`# Gender-o-meter: Women do better in 1.500 meters`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":24,"value":"md`Women are silenced in most of the fields in life. In sports is not different. Let's take a look back and check how \"ladies\" are doing in sport. Gender-o-meter is based on facts, this is athletes, dates and World Records, and its progression and comparison between Women and Men in several Olympic categories. \nIs it for you a surprise to affirm that women do quite a lot better than men?\n\nLet's start: Ready. Steady. Go!\n`\n","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":150,"value":"navbar = md`\n# Browse disciplines:\n\n## > Athletics: [100m](https://observablehq.com/@jaumet/gender-o-meter-100m) | [1500m](https://observablehq.com/@jaumet/gender-o-meter-1500m) | [10.000m](https://observablehq.com/@jaumet/gender-o-meter-10000m) | [Marathon](https://observablehq.com/@jaumet/gender-o-meter-marathon) | [High Jump](https://observablehq.com/@jaumet/gender-o-meter-highjump) | [Triple Jump](https://observablehq.com/@jaumet/gender-o-meter-triple-jump)\n\n## > Swimming: [200m freestyle](https://observablehq.com/@jaumet/gender-o-meter-200mfreestyle)\n--------\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":0,"value":"md `\n## > 1.500 meters World Records \n`\n","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":28,"value":"html `\n\n

1. Comparison

-> Check these two videos: Genzebe Dibaba runs in 2015 at the same speed as Otto Peltzer (GER) 1926's WR.

-> And even more: Genzebe Dibaba runs faster than any other man before Peltzer's 3:51.0 WR in 1926.

\n\n\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":175,"value":"html` \n

Genzebe Dibaba - 1.500m in 3:50:07s - Fontvieille, Monaco - 2015-07-17

\n\n

Some photos of Otto Pelzer (GER) that in 1926-09-11 in Berlin, Germany, dod the WR of 1.500 in 3:51.0.

`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":274,"value":"html `\n

2. Women's World Records Progression is so much Higher than Men's

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n

Women	Men
In 88 yeas (*)	In 106 years (**)
2:28,13 (min:seg) lowered	2:01,40 (min:seg) lowered
This is 2 minute 48 secods in 100 years	This is 1 minute 54 secods in 100 years

Women's WR registration started 35 years after Men.
Women progress about 68% faster than men in 1.500m WR
Women's 1.500m WR progression is 1 and a half times faster than Men!

(*): WR counted sice 1927

(**): WR counted since 1892

\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":35,"value":"html `\n

3. History & data

Below we present the diagrams of the WR evolution for Women and Men.

\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":37,"value":"$31","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":205,"value":"md`## Women: Times in years.\n(not all records are included, since many are repeated)`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":215,"value":"SummaryTable(women)","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":219,"value":"Inputs.table(women)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":222,"value":"SummaryTable(men)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":228,"value":"md`## Men: time in years\n(not all records are included, since many are repeated)`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":224,"value":"Inputs.table(men)","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":39,"value":"html `\n

Credits and resources

\n\n

> An idea and development of Jaume Nualart @jaumetet with the invaluable collaboration of Mar Canet @mcanet

> The data is all from wikipedia: women WR, men WR, etc.

> Made in Observableshp with Plotly

\n\n

\n\n\n\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":42,"value":"Plotly = require(\"https://cdn.plot.ly/plotly-latest.min.js\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":217,"value":"import {SummaryTable} from \"@observablehq/summary-table\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":208,"value":"men = FileAttachment(\"1500m-Men.csv\").csv()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":212,"value":"women = FileAttachment(\"1500m-Womenen.csv\").csv()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"}],"files":"$W32","stdlib":"1","titling":"auto"}} 30:"$2f:body"