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1984, "W": 86 }, { "name": "Boston Red Sox", "yearID": 1985, "W": 81 }, { "name": "Boston Red Sox", "yearID": 1986, "W": 95 }, { "name": "Boston Red Sox", "yearID": 1987, "W": 78 }, { "name": "Boston Red Sox", "yearID": 1988, "W": 89 }, { "name": "Boston Red Sox", "yearID": 1989, "W": 83 }, { "name": "Boston Red Sox", "yearID": 1990, "W": 88 }, { "name": "Boston Red Sox", "yearID": 1991, "W": 84 }, { "name": "Boston Red Sox", "yearID": 1992, "W": 73 }, { "name": "Boston Red Sox", "yearID": 1993, "W": 80 }, { "name": "Boston Red Sox", "yearID": 1994, "W": 54 }, { "name": "Boston Red Sox", "yearID": 1995, "W": 86 }, { "name": "Boston Red Sox", "yearID": 1996, "W": 85 }, { "name": "Boston Red Sox", "yearID": 1997, "W": 78 }, { "name": "Boston Red Sox", "yearID": 1998, "W": 92 }, { "name": "Boston Red Sox", "yearID": 1999, "W": 94 }, { "name": "Boston Red Sox", "yearID": 2000, "W": 85 }, { "name": "Boston Red Sox", "yearID": 2001, "W": 82 }, { "name": "Boston Red Sox", "yearID": 2002, "W": 93 }, { "name": "Boston Red Sox", "yearID": 2003, "W": 95 }, { "name": "Boston Red Sox", "yearID": 2004, "W": 98 }, { "name": "Boston Red Sox", "yearID": 2005, "W": 95 }, { "name": "Boston Red Sox", "yearID": 2006, "W": 86 }, { "name": "Boston Red Sox", "yearID": 2007, "W": 96 }, { "name": "Boston Red Sox", "yearID": 2008, "W": 95 }, { "name": "Boston Red Sox", "yearID": 2009, "W": 95 }, { "name": "Boston Red Sox", "yearID": 2010, "W": 89 }, { "name": "Boston Red Sox", "yearID": 2011, "W": 90 }, { "name": "Boston Red Sox", "yearID": 2012, "W": 69 }, { "name": "Boston Red Sox", "yearID": 2013, "W": 97 }, { "name": "Boston Red Sox", "yearID": 2014, "W": 71 }, { "name": "Boston Red Sox", "yearID": 2015, "W": 78 }, { "name": "Boston Red Sox", "yearID": 2016, "W": 93 }, { "name": "Boston Red Sox", "yearID": 2017, "W": 93 }, { "name": "Boston Red Sox", "yearID": 2018, "W": 108 } ] 34:[] 2f:{"title":"Displaying Baseball Data, including filtering ect","cells":[{"id":0,"value":"html`\n\n

Displaying Baseball Data, including filtering ect

\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":281,"value":"html`\n

In ${year}, the New York Yankees Won ${Yankees[0].W}, and the Boston Yankees won ${RedSox[0].W}

\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":197,"value":"Both = vl.markArea({interpolate:\"monotone\",stroke:\"black\",fill:\"cornflowerb0lue\",opacity:0.5})\n.width(700)\n.data(data)\n.transform(\n vl.filter(`datum.yearID <= ${year}`)\n)\n\n.encode(\n vl.x().fieldQ(\"yearID\").axis({format:\".0f\",title:\"Year\"}).scale({domain:[1913,2018]}),\n vl.y().fieldQ(\"W\").axis({format:\".0f\",title:\"Wins\"}).scale({domain:[0,120]}),\n vl.color().fieldN(\"name\").scale({range:[\"red\",\"navy\"]})\n \n)\n.render()","pinned":false,"hidden":false,"mode":"ojs"},{"id":337,"value":"viewof year = slider({min:1913,max:2018,step:1,value:2018,\n title: 'Year',\n description: 'Please select your which year you want'\n})","pinned":false,"hidden":false,"mode":"ojs"},{"id":289,"value":"html`\n

How I want it

\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":315,"value":"vl.layer(NewYorkArea,NewYorkCircle,BostonLine,BostonCircle)\n.title(\"Yankees vs Red Sox\")\n.render()","pinned":false,"hidden":false,"mode":"ojs"},{"id":432,"value":"viewof year1 = slider({min:1913,max:2018,step:1,value:2018,\n title: 'Year',\n description: 'Please select your which year you want'\n})","pinned":false,"hidden":false,"mode":"ojs"},{"id":430,"value":"html`\n

In ${year1}, the New York Yankees Won ${Yankees1[0].W}, and the Boston Yankees won ${RedSox1[0].W}

\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":38,"value":"md`\n---\n## Appendix\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":447,"value":"html`\n

Data for class example

\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":271,"value":"html`\n

This is the code I used in R, to get both data sets:

\ndata = Teams%>%\n  filter(name == \"Boston Red Sox\"|name == \"New York Yankees\")%>%\n  filter(yearID >= 1913)%>%\n  select(name,yearID,W)\n\nwrite_json(data,\"data.json\",pretty=TRUE)\n

\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":259,"value":"$31","pinned":false,"hidden":false,"mode":"ojs"},{"id":389,"value":"RedSox = data.filter(d => d.name == \"Boston Red Sox\" && d.yearID == year)","pinned":false,"hidden":false,"mode":"ojs"},{"id":393,"value":"Yankees = data.filter(d => d.name == \"New York Yankees\" && d.yearID == year)","pinned":false,"hidden":false,"mode":"ojs"},{"id":453,"value":"html`\n

Data for yankees (own time)

\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":292,"value":"NewYorkArea = vl.markArea({interpolate:\"monotone\",stroke:\"black\",fill:\"navy\",opacity:0.5})\n.width(700)\n.data(dataNewYork)\n.transform(\n vl.filter(`datum.yearID <= ${year1}`)\n)\n.encode(\n vl.x().fieldQ(\"yearID\").axis({format:\".0f\",title:\"Year\"}).scale({domain:[1913,2018]}),\n vl.y().fieldQ(\"W\").axis({format:\".0f\",title:\"Wins\"}).scale({domain:[0,120]}),\n \n)\n","pinned":false,"hidden":false,"mode":"ojs"},{"id":616,"value":"NewYorkCircle = vl.markCircle({size:\"20\",stroke:\"navy\",fill:\"navy\"})\n .data(Yankees1) \n .transform(\n vl.filter(`datum.yearID <= ${year1}`)\n)\n\n.encode(\n vl.x().fieldQ(\"yearID\").axis({format:\".0f\",title:\"Year\"}),\n vl.y().fieldQ(\"W\").axis({format:\".0f\",title:\"Wins\"}),\n)","pinned":false,"hidden":false,"mode":"ojs"},{"id":182,"value":"$32","pinned":false,"hidden":false,"mode":"ojs"},{"id":479,"value":"Yankees1 = dataNewYork.filter(d => d.name == \"New York Yankees\" && d.yearID == year1)","pinned":false,"hidden":false,"mode":"ojs"},{"id":191,"value":"html`\n

This is how I got the data from r to get the New York data:

\ndata = Teams%>%\n  filter(name == \"New York Yankees\")%>%\n  filter(yearID >= 1913)%>%\n  select(name,yearID,W)\n\nwrite_json(data,\"data.json\",pretty=TRUE)\n

\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":459,"value":"html`\n

Data for Boston (own time)

\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":298,"value":"BostonLine = vl.markLine({interpolate:\"monotone\",stroke:\"red\"})\n.width(700)\n.height(400)\n.data(dataBoston)\n.transform(\n vl.filter(`datum.yearID <= ${year1}`)\n)\n\n.encode(\n vl.x().fieldQ(\"yearID\").axis({format:\".0f\",title:\"Year\"}),\n vl.y().fieldQ(\"W\").axis({format:\".0f\",title:\"Wins\"}),\n)","pinned":false,"hidden":false,"mode":"ojs"},{"id":567,"value":"BostonCircle = vl.markCircle({size:\"20\",stroke:\"red\",fill:\"red\"})\n .data(RedSox1) \n .transform(\n vl.filter(`datum.yearID <= ${year1}`)\n)\n\n.encode(\n vl.x().fieldQ(\"yearID\").axis({format:\".0f\",title:\"Year\"}),\n vl.y().fieldQ(\"W\").axis({format:\".0f\",title:\"Wins\"}),\n)","pinned":false,"hidden":false,"mode":"ojs"},{"id":249,"value":"$33","pinned":false,"hidden":false,"mode":"ojs"},{"id":483,"value":"RedSox1 = dataBoston.filter(d => d.name == \"Boston Red Sox\" && d.yearID == year1)","pinned":false,"hidden":false,"mode":"ojs"},{"id":256,"value":"html`\n

This is how I got the data from r to get the Boston data:

\ndata = Teams%>%\n  filter(name == \"Boston Red Sox\")%>%\n  filter(yearID >= 1913)%>%\n  select(name,yearID,W)\n\nwrite_json(data,\"data.json\",pretty=TRUE)\n

\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":499,"value":"html`\n

Imported from Redmond

\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":56,"value":"import {printTable} from '@uwdata/data-utilities'","pinned":false,"hidden":false,"mode":"ojs"},{"id":61,"value":"import {vl} from '@vega/vega-lite-api'","pinned":false,"hidden":false,"mode":"ojs"},{"id":63,"value":"import {slider,button,select,text,radio,checkbox,number} from \"@jashkenas/inputs\"","pinned":false,"hidden":false,"mode":"ojs"}],"files":"$W34","stdlib":"1","titling":"auto"}