31:Te99,graphhighjump = { var woman = { x: [1922, 1923, 1923, 1925, 1926, 1926, 1928, 1928, 1929, 1932, 1932, 1932, 1939, 1941, 1941, 1943, 1951, 1954, 1956, 1956, 1956, 1957, 1957, 1958, 1958, 1958, 1958, 1958, 1959, 1960, 1960, 1961, 1961, 1961, 1961, 1971, 1972, 1972, 1974, 1974, 1976, 1977, 1977, 1977, 1977, 1978, 1978, 1982, 1983, 1983, 1983, 1984, 1984, 1986, 1986, 1987], y: [1.46 , 1.485, 1.485, 1.524, 1.552, 1.58 , 1.58 , 1.595, 1.605, 1.62 , 1.65 , 1.65 , 1.66 , 1.66 , 1.66 , 1.71 , 1.72 , 1.73 , 1.74 , 1.75 , 1.76 , 1.76 , 1.77 , 1.78 , 1.8, 1.81 , 1.82 , 1.83 , 1.84 , 1.85 , 1.86 , 1.87 , 1.88 , 1.90 , 1.91 , 1.92 , 1.92 , 1.94 , 1.94 , 1.95 , 1.96 , 1.96 , 1.97 , 1.97 , 2.00 , 2.01, 2.01, 2.02, 2.03, 2.03, 2.04, 2.05, 2.07, 2.07, 2.08, 2.09], fill: 'tozeroy', type: 'scatter', fillcolor: 'rgba(255, 190, 200, 0.5)', hovermode: 'closest', dragmode: 'select', selectdirection: 'h', name: 'Women' }; var man = { x: [1912, 1914, 1924, 1933, 1934, 1936, 1936, 1937, 1941, 1953, 1956, 1957, 1960, 1960, 1960, 1960, 1961, 1961, 1961, 1962, 1962, 1963, 1971, 1973, 1976, 1976, 1977, 1978, 1980, 1980, 1980, 1983, 1983, 1984, 1985, 1985, 1987, 1988, 1988, 1989, 1993], y: [2.00 , 2.01, 2.03, 2.04, 2.06, 2.07, 2.07, 2.09, 2.11, 2.12, 2.15 , 2.16 , 2.17 , 2.17 , 2.18 , 2.22 , 2.23 , 2.24 , 2.25 , 2.26 , 2.27 , 2.28 , 2.29 , 2.30 , 2.31 , 2.32 , 2.33 , 2.34 , 2.35 , 2.35 , 2.36 , 2.37 , 2.38 , 2.39 , 2.40 , 2.41 , 2.42 , 2.42 , 2.43 , 2.44 , 2.45 ], fill: 'tonexty', type: 'scatter', fillcolor: 'rgba(0, 50, 200, 0.5)', hovermode: 'closest', name: 'Men' }; var data = [ man,woman]; var annotations=[{x:1987, y:2.09, xref:'x', yref:'y', text:'Stefka Kostadinova
World Record', ax:40, ay:-40}, {x:1962, y:1.8, xref:'x', yref:'y', text:'Women\'s progression:
63cm higher in in 53 years of WRs
', ax:40, ay:40}, {x:1937, y:2.09, xref:'x', yref:'y', text:' Mel Walker
2.09m WR in 1937', ax:40, ay:-40}, {x:1934, y:2, xref:'x', yref:'y', text:'Men progression:
45cm higher in 81 years of WRs
', ax:40, ay:40}] const div = DOM.element('div'); Plotly.newPlot(div, data, { width: width, title : "High Jump World Records.", annotations:annotations, xaxis: { title: { text: 'Years' }, range: [1900,2021], spikemode: "across" }, yaxis: { title: { text: 'Time(meters)', }, range: [1.4,2.5], 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":1626984534094.279,"size":239},{"id":"d548d3e9f760d47d9fd75bfa148b21ae34f6d4df87fe01589f742d550542f5a19f95089314463c7bb1a2599c1406d0c9136e4e5c14a9758684a8d3f0c9bbd3ca","href":"https://static.observableusercontent.com/files/d548d3e9f760d47d9fd75bfa148b21ae34f6d4df87fe01589f742d550542f5a19f95089314463c7bb1a2599c1406d0c9136e4e5c14a9758684a8d3f0c9bbd3ca","name":"100m-Women.csv","type":"text/csv","lastModified":1626984534094.279,"size":520}] 2f:{"title":"Gender-o-meter: Women do better in High Jump","cells":[{"id":393,"value":"md`# Gender-o-meter: Women do better in High Jump`\n","pinned":false,"hidden":false,"mode":"ojs"},{"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"},{"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"},{"id":383,"value":"md `\n## > High Jump World Records \n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":215,"value":"progression = html `\n\n

1. Comparison

-> Check these two videos: Stefka Kostadinova jumped in 1987 at the same high as Mel Walker in 1937.

-> And even more: Stefka Kostadinova jumped higher than any other man before Walker's 2.09m jump.

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

Stefka Kostadinova - High Jump's WR 2.09ms - Rome (Italy) - 30 August 1987

\n\n

I cannot find the Mel Walker High Jump WP of 1937, but hre it is an Mel's High Jump in 1938 (video jmps to second 16th).

`","pinned":false,"hidden":false,"mode":"ojs"},{"id":557,"value":"html `\n

2. Women's World Records Progression is 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 65 yeas (*)	In 81 years (**)
0.63m lowered	0.45m lowered
This is 97cm in 100 years	This is 55,5cm in 100 years

-> Women's WR registration started 10 years after Men.

-> Women advance about 53% higher than men in High Jump WP

-> Women's High Jump WR progression is 1.75 times faster than Men!

(*): WR counted since 1922

(**): WR counted since 1912

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