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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":"How to use Baseball data","cells":[{"id":0,"value":"html`\n\n

How to use Baseball data

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

In 2018, the Boston Red Sox Won 100, and the New York Yankees won 100

\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({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})","pinned":true,"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(BostonLine,NewYorkArea)\n.title(\"Yankees vs Red Sox\")\n.render()","pinned":true,"hidden":false,"mode":"ojs"},{"id":391,"value":"html`\n

I took out vl.color and just adjusted the fill color and the opacity of the navy. Also, the order of the layer matters.

\n`","pinned":true,"hidden":false,"mode":"ojs"},{"id":38,"value":"md`\n---\n## Appendix\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":259,"value":"$31","pinned":false,"hidden":false,"mode":"ojs"},{"id":271,"value":"html`\n

The code I used to produce this dataset is the following:

\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":292,"value":"NewYorkArea = vl.markArea({interpolate:\"monotone\",stroke:\"black\",fill:\"Navy\",opacity:0.25})\n.width(700)\n.height(400)\n.data(dataNewYork)\n.encode(\n vl.x().fieldQ(\"yearID\").axis({format:\".0f\",title:\"year\"}),\n vl.y().fieldQ(\"W\").axis({title:\"wins\"}), \n)\n","pinned":true,"hidden":false,"mode":"ojs"},{"id":182,"value":"$32","pinned":false,"hidden":false,"mode":"ojs"},{"id":191,"value":"html`\n

The code I used to produce this dataset is the following:

\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":298,"value":"BostonLine = vl.markLine({interpolate:\"monotone\",stroke:\"black\",fill:\"cornflowerb0lue\"})\n.width(700)\n.data(dataBoston)\n.encode(\n vl.x().fieldQ(\"yearID\").axis({format:\".0f\",title:\"year\"}),\n vl.y().fieldQ(\"W\").axis({title:\"wins\"}),\n vl.color().fieldN(\"name\").scale({range:[\"red\"]}),\n)","pinned":true,"hidden":false,"mode":"ojs"},{"id":249,"value":"$33","pinned":false,"hidden":false,"mode":"ojs"},{"id":256,"value":"html`\n

The code I used to produce this dataset is the following:

\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":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"}