2b:null 2c:["$","title",null,{"children":"Gender-o-meter: Women do better in Triple Jump | Jaume | Observable"}] 31:Tc53,graph10m = { var woman = { x: [1922, 1923, 1926, 1939, 1959, 1981, 1982, 1983, 1983, 1984, 1984, 1985, 1986, 1987, 1987, 1987, 1987, 1987, 1988, 1989, 1990, 1991, 1993, 1993, 1995, 2021], y: [10.32 , 10.50 , 11.62 , 11.66 , 12.22 , 12.43 , 12.47 , 12.51 , 12.98 , 13.15 , 13.21 , 13.58 , 13.68 , 13.71 , 13.73 , 13.78 , 13.85 , 14.04, 14.16 , 14.52 , 14.54 , 14.95 , 14.97 , 15.09, 15.50 , 15.67], fill: 'tozeroy', type: 'scatter', fillcolor: 'rgba(255, 190, 200, 0.5)', hovermode: 'closest', dragmode: 'select', selectdirection: 'h', name: 'Women' }; var man = { x: [1911, 1924, 1931, 1932, 1935, 1936, 1950, 1951, 1952, 1952, 1953, 1955, 1958, 1959, 1960, 1968, 1968, 1968, 1968, 1968, 1971, 1972, 1975, 1985, 1995, 1995, 1995], y: [15.52 , 15.52 , 15.58 , 15.72 , 15.78 , 16.00 , 16.00 , 16.01, 16.12, 16.22 , 16.23 , 16.56 , 16.59 , 16.70 , 17.03, 17.10, 17.22 , 17.23 , 17.27 , 17.39 , 17.40 , 17.44 , 17.89 , 17.97 , 17.98 , 18.16 , 18.29], fill: 'tonexty', type: 'scatter', fillcolor: 'rgba(0, 50, 200, 0.5)', hovermode: 'closest', name: 'Men' }; var data = [ man,woman]; var annotations=[{x:2021, y:15.67, xref:'x', yref:'y', text:'Yulimar Rojas
World Record', ax:40, ay:-40}, {x:1991, y:14, xref:'x', yref:'y', text:'Women progression: 3.53m lowered
in 99 years of WRs
', ax:40, ay:40}, {x:1932, y:15.72, xref:'x', yref:'y', text:'Chuhei Nambu
Winner Olympics Los Angeles 1932', ax:40, ay:-40}, {x:1972, y:17, xref:'x', yref:'y', text:'Men progression: 2.43s lowered
in 84 years of WRs
', ax:40, ay:40}] const div = DOM.element('div'); Plotly.newPlot(div, data, { width: width, title : "Triple Jump World Records.", annotations:annotations, xaxis: { title: { text: 'Years' }, range: [1910,2021], spikemode: "across" }, yaxis: { title: { text: 'Distance(meters)', }, range: [9,20], spikemode: "across" } , 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":"cb2b35193cb6dd8092cbd94d7ea00a4048e19c10001aaf287a7765222cbe5cc0391eb753eeda170156463b5f4765c30e0ed37761709527571a853870aa93c260","href":"https://static.observableusercontent.com/files/cb2b35193cb6dd8092cbd94d7ea00a4048e19c10001aaf287a7765222cbe5cc0391eb753eeda170156463b5f4765c30e0ed37761709527571a853870aa93c260","name":"100m-Men@1.csv","type":"text/csv","lastModified":1627986259442.83,"size":239},{"id":"d548d3e9f760d47d9fd75bfa148b21ae34f6d4df87fe01589f742d550542f5a19f95089314463c7bb1a2599c1406d0c9136e4e5c14a9758684a8d3f0c9bbd3ca","href":"https://static.observableusercontent.com/files/d548d3e9f760d47d9fd75bfa148b21ae34f6d4df87fe01589f742d550542f5a19f95089314463c7bb1a2599c1406d0c9136e4e5c14a9758684a8d3f0c9bbd3ca","name":"100m-Women.csv","type":"text/csv","lastModified":1627986259442.83,"size":520}] 2f:{"id":"29d2d28b07e7b69f","slug":"gender-o-meter-triple-jump","title":"Gender-o-meter: Women do better in Triple Jump","thumbnail":"cce21af877da2bf5975c44478bf912ccf04613ae62e7383fdc234fc40fb567c0","access_level":"public","create_time":"$D2021-08-03T10:24:19.442Z","update_time":"$D2022-09-17T22:48:06.271Z","view_time":null,"first_public_time":"$D2021-08-03T11:49:44.386Z","fork":{"id":"2de08378f8aedf36","slug":"gender-o-meter-100m","title":"Gender-o-meter: Women do better in Sport","owner":{"id":"56e50593bfe6266e","login":"jaumet","name":"Jaume"}},"stars":0,"starred":false,"owner":{"type":"team","id":"56e50593bfe6266e","login":"jaumet","name":"Jaume","avatar_url":"https://avatars-next.observableusercontent.com/b2c7fe70708b1da9ab2a7f2eeff7c50402c89318b40ebc73624b52603217be30","tier":"starter_2024"},"version":569,"publish_version":569,"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"}],"comments":[],"custom_thumbnail":false,"trashed":false,"subscribed":null,"forks":0,"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 Triple Jump","cells":[{"id":393,"value":"md`# Gender-o-meter: Women do better in Triple Jump`\n","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":20,"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"},{"id":399,"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"},{"id":383,"value":"md `\n## > 1. Triple Jump World Records \n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":215,"value":"progression = html `\n

1. Comparison

-> Check these video and picture: Yulimar Rojas (VEN) jumped in 2021 at about the same distance as Chuhei Nambu (JPN) in 1932.

-> And even more: Yulimar Rojas jumped longerer than any other man before Chuhei's 15.72m.

\n\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":125,"value":"html` \n

Venezuela’s Yulimar Rojas sets world record to win Olympic women”s triple jump Tokyo 2021 Olympic Games.

\n\n

\n\n
\nPicture of Chūhei_Nambu jjapanese athlete in triple jump. Chūhei sets the WR of Triple Jump in 15.72 meters in the World Championships in Los Angeles (USA).

`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":514,"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 99 yeas (*)	In 84 years (**)
5.35m lowered	2.43m lowered
This is 5,4m in 100 years	This is 2.9m in 100 years

-> Women's WR registration started 11 years after Men.

-> Women advence about 45.4% faster than men in 100m dash WP

-> Women's 100m WR progression is 2.2 times faster than Men!

(*): WR counted since 1922

(**): WR counted since 1911

\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":237,"value":"html `\n

3. History

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

\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":112,"value":"$31","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":266,"value":"credits = 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"},{"id":291,"value":"Plotly = require(\"https://cdn.plot.ly/plotly-latest.min.js\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":444,"value":"import {SummaryTable} from \"@observablehq/summary-table\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":468,"value":"women = FileAttachment(\"100m-Women.csv\").csv()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":472,"value":"men = FileAttachment(\"100m-Men@1.csv\").csv()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"}],"files":"$W32","stdlib":"1","titling":"auto"}} 30:"$2f:body"