30:[{"id":"5f17646434e4fe18d064fbf5b762569a3bda0b85b5b1a66fa6c956dcdfc218812fc8ee025b369e6bfa946bd35b23dace7abfa988c42fbd2b6288c830b534d989","href":"https://static.observableusercontent.com/files/5f17646434e4fe18d064fbf5b762569a3bda0b85b5b1a66fa6c956dcdfc218812fc8ee025b369e6bfa946bd35b23dace7abfa988c42fbd2b6288c830b534d989","name":"tes@1.csv","type":"text/csv","lastModified":1635518403853.092,"size":6700},{"id":"1c22e267c514c5c1c47573b55c8e6c2d78ecea1025bd4cbb3c1ac78c8a4314bd5ab7c4537ebeb875e95013301390171773e944b7249c3b19a63f740e75e5defe","href":"https://static.observableusercontent.com/files/1c22e267c514c5c1c47573b55c8e6c2d78ecea1025bd4cbb3c1ac78c8a4314bd5ab7c4537ebeb875e95013301390171773e944b7249c3b19a63f740e75e5defe","name":"gp_usa_2021_fs_elements.json","type":"application/json","lastModified":1635517677210.114,"size":42915},{"id":"5c5de094414de4523122ded3c2f44b5c91290c50180aa3dae98a8635a4827ad6098c00fdcd739f24b7912c33db907d53d219642ba1fb3390aade5c94c8a46f6e","href":"https://static.observableusercontent.com/files/5c5de094414de4523122ded3c2f44b5c91290c50180aa3dae98a8635a4827ad6098c00fdcd739f24b7912c33db907d53d219642ba1fb3390aade5c94c8a46f6e","name":"gp_usa_2021_fs_pcs.json","type":"application/json","lastModified":1635147629364.907,"size":7006},{"id":"263b081005400b7193ccfd8f4f6d1d7993715d615b8fad4d9d7e8605d6716f587facec7d3b26c85c2af572ca05a9da61f8402123a0178a40b7972d18adc60241","href":"https://static.observableusercontent.com/files/263b081005400b7193ccfd8f4f6d1d7993715d615b8fad4d9d7e8605d6716f587facec7d3b26c85c2af572ca05a9da61f8402123a0178a40b7972d18adc60241","name":"ts@5.csv","type":"text/csv","lastModified":1635172786853.154,"size":531},{"id":"d7338771e20db6334eec56748d4cdcb984caecd4d90356aa8163839abdf20f386c14131e787ee70383c428f84ecdfe62944c37be97d216305b0fdcda736e6fdc","href":"https://static.observableusercontent.com/files/d7338771e20db6334eec56748d4cdcb984caecd4d90356aa8163839abdf20f386c14131e787ee70383c428f84ecdfe62944c37be97d216305b0fdcda736e6fdc","name":"tss.csv","type":"text/csv","lastModified":1635173246039.419,"size":591}] 2e:{"title":"FS and Final Skate America","cells":[{"id":0,"value":"# FS and Final Skate America","pinned":false,"hidden":false,"mode":"md"},{"id":200,"value":"

\n $\"ScAm\"$ \n

","pinned":false,"hidden":false,"mode":"html"},{"id":828,"value":"### ISU Grand Prix of Figure Skating 2021: Women","pinned":false,"hidden":false,"mode":"md"},{"id":724,"value":"

Best viewed in desktop and mobile horizontal version, but we’re working on mobile vertical too!\n

","pinned":false,"hidden":false,"mode":"md"},{"id":186,"value":"### One quad is enough to win! First place for Trusova","pinned":false,"hidden":false,"mode":"md"},{"id":667,"value":"## Total Score","pinned":false,"hidden":false,"mode":"md"},{"id":728,"value":"The headers of the table are clickable! Click one one to explore who is better in short program (SP) versus free skating (FS).","pinned":false,"hidden":false,"mode":"md"},{"id":684,"value":"Inputs.table(ts, {\n format: {\n Total_Score: sparkbar(d3.max(ts, d => d.Total_Score)),\n SP_Score: sparkbar(d3.max(ts, d => d.SP_Score)),\n FS_Score: sparkbar(d3.max(ts, d => d.FS_Score)),\n Nation: flag\n}})","pinned":false,"hidden":false,"mode":"ojs"},{"id":671,"value":"
Visualizing Open-Source Code, Contributions & Communities
","pinned":false,"hidden":false,"mode":"html"},{"id":80,"value":"## Total Segment Score","pinned":false,"hidden":false,"mode":"md"},{"id":423,"value":"The headers of the table are clickable! Click one one to explore who is better in elements versus components.","pinned":false,"hidden":false,"mode":"md"},{"id":134,"value":"Inputs.table(tss, {\n format: {\n Total_Segment_Score: sparkbar(d3.max(tss, d => d.Total_Segment_Score)),\n Total_Element_Score: sparkbar(d3.max(tss, d => d.Total_Element_Score)),\n Program_Component_Score: sparkbar(d3.max(tss, d => d.Program_Component_Score)),\n Nation: flag\n}})","pinned":false,"hidden":false,"mode":"ojs"},{"id":642,"value":"
Visualizing Open-Source Code, Contributions & Communities
","pinned":false,"hidden":false,"mode":"html"},{"id":56,"value":"## Total Element Score","pinned":false,"hidden":false,"mode":"md"},{"id":129,"value":"**How to read the chart:**
\n- Each chart represents elements of the skater's program in the order they were performed.
\n- The charts are sorted by the skater's ranking in the program.
\n- The line chart stands for the final score of the elements performed; hovering over the line chart, you can see the name of the element and its score.
\n- The area chart represents the range of the maximum and minimum possible score in accordance with the GOE (Grade of Execution).","pinned":false,"hidden":false,"mode":"md"},{"id":47,"value":"tesChart(tesData, names, 29)","pinned":false,"hidden":false,"mode":"ojs"},{"id":485,"value":"
Special marks in the element's name:
\nq - jump landed on the quarter
\n< - jump had less than a ½ turn but more than a ¼ turn completed on the ice, reducing the base value to 70% of its original value
\n<< - severe under-rotation (a ½ turn or more) and the jump is valued as if it had one less rotation
\n! - jump has been called as having an unclear take-off edge and receives a –1 to –2 GOE depending on severity
\n+SEQ - sequence can be downgraded – in which case the sum of the base values of the jumps is reduced to 80% of its original value
\n
","pinned":false,"hidden":false,"mode":"html"},{"id":648,"value":"
Visualizing Open-Source Code, Contributions & Communities
","pinned":false,"hidden":false,"mode":"html"},{"id":66,"value":"## Program Component Score","pinned":false,"hidden":false,"mode":"md"},{"id":501,"value":"**How to read the chart:**
\n- Each axis is a component under Performance Component Score. The skater's score for that program component is indicated by their position on the axis. The further the point is from the center, the higher the score.\n- Each line corresponds to a skater. Hover or click on the line to focus on that skater. You can hover on the legend too to do the same thing.\n- Skaters with a high PCS tend to have larger circle sizes. We've chosen a non-zero starting point to better visualize the small decimal point differences between skaters that might make or break a program.\n- __[UPCOMING] We'll be adding PCS totals in a future.__","pinned":false,"hidden":false,"mode":"md"},{"id":738,"value":"chart(data, names, pcsTotal, 6.5, 9.75)","pinned":false,"hidden":false,"mode":"ojs"},{"id":655,"value":"
Visualizing Open-Source Code, Contributions & Communities
","pinned":false,"hidden":false,"mode":"html"},{"id":239,"value":"Will be happy to see your comments 😃","pinned":false,"hidden":false,"mode":"md"},{"id":585,"value":"
Special thanks for tips and tricks with coding to @Mike Bostock, @Brett Cooper and
\n
@Duane Millar Barlow
","pinned":false,"hidden":false,"mode":"html"},{"id":382,"value":"
Visualizing Open-Source Code, Contributions & Communities
\n
@Bianchi Dy & @Dmitry Si
\n
Developers Advocate, Observable
","pinned":false,"hidden":false,"mode":"html"},{"id":627,"value":"
Visualizing Open-Source Code, Contributions & Communities
","pinned":false,"hidden":false,"mode":"html"},{"id":894,"value":"
Technical info\n
","pinned":false,"hidden":false,"mode":"md"},{"id":137,"value":"function sparkbar(max) {\n return x => htl.html`
${x.toLocaleString(\"en\")}`\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":548,"value":"import {isoAlpha3toEmoji} from \"@mbostock/iso-3166-alpha\"","pinned":false,"hidden":false,"mode":"ojs"},{"id":139,"value":"tss=d3.csvParse(await FileAttachment(\"tss.csv\").text(), d3.autoType)","pinned":false,"hidden":false,"mode":"ojs"},{"id":678,"value":"ts=d3.csvParse(await FileAttachment(\"ts@5.csv\").text(), d3.autoType)","pinned":false,"hidden":false,"mode":"ojs"},{"id":740,"value":"pcsTotal = pcsData.pcs_total","pinned":false,"hidden":false,"mode":"ojs"},{"id":742,"value":"pcsData = FileAttachment(\"gp_usa_2021_fs_pcs.json\").json();","pinned":false,"hidden":false,"mode":"ojs"},{"id":863,"value":"tesData_raw=FileAttachment(\"gp_usa_2021_fs_elements.json\").json()","pinned":false,"hidden":false,"mode":"ojs"},{"id":872,"value":"tesData =tesData_raw.tes","pinned":false,"hidden":false,"mode":"ojs"},{"id":751,"value":"import {chart} from \"@bianchi-dy/radar-chart\"","pinned":false,"hidden":false,"mode":"ojs"},{"id":856,"value":"import {tesChart} from \"@amidsi/vega-lite_facets\"","pinned":false,"hidden":false,"mode":"ojs"},{"id":756,"value":"data = pcsData.pcs","pinned":false,"hidden":false,"mode":"ojs"},{"id":759,"value":"names = pcsData.names","pinned":false,"hidden":false,"mode":"ojs"},{"id":770,"value":"flag = code => html``","pinned":false,"hidden":false,"mode":"ojs"},{"id":884,"value":"// bv1= (await FileAttachment(\"bv_template@1.csv\").csv()).map(d => ({...d, place: +d.place}))\nbv1=d3.csvParse(await FileAttachment(\"tes@1.csv\").text(), d3.autoType)","pinned":true,"hidden":false,"mode":"ojs"},{"id":889,"value":"bv2 = {\n for (let i=0; i< bv1.length; i+=1) {\n console.log(i);\n bv1[i]['desc_sop'] = bv1[i]['aspect_desc'] + '/\\n' + bv1[i]['SOP']\n } \n return bv1\n}","pinned":false,"hidden":false,"mode":"ojs"}],"files":"$W30","stdlib":"1","titling":"auto"}