test_data_function_broadway

<!DOCTYPE html>
<head>
  <meta charset="utf-8">
  <script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min.js"></script>
  <style>
    body { margin:0;position:fixed;top:0;right:0;bottom:0;left:0; }
    svg { width:100%; height: 100% }
  </style>
</head>

<body>
  <button id="button1">Click</button>

svg.selectAll(".dots").data(d3.range(1, 52)).enter()
      .append("circle").classed("dots", true)
    .attr("cx", function (d, i) { return i*10})
    .attr("cy", function (d, i) { return i*10})
    .attr("r", 5)

function update() {
      d3.selectAll(".dots")
       .transition()
       .duration(1000)
       .attr("cx", function (d, i) { return i*5})
       .attr("cy", function (d, i) { return i*5})
    }

d3.select("#button1").on("click", update)

//////////// 
    var datas = [];
    var array = d3.range(1, 52);
    
    function pf (v, a, b) {
      return (v + 2) + (v*a) + (v*oo);
    }
    
    var pp = 10;
    var oo = 20;
    
    array.forEach(function(d, i) {
      datas.push({x: i, y: pf(d, pp, oo)})
    })
    
    console.log(datas)

////////////

var 	HighestactorUlmerscore	=	200	;	//	a
var 	Ulmerscore	=	100	;	//	b
var 	Seatsintheater	=	1500	;	//	c
var 	Weekofyear	=	30	;	//	d
var 	Originalwork	=	1	;	//	e
var 	Musical	=	1	;	//	f
var 	Castsize	=	45	;	//	g
var 	Disney	=	0	;	//	h
var 	Basedonamovie	=	0	;	//	i
var 	NYT	=	1	;	//	j
var 	USA	=	4	;	//	k
var 	majorTonyawards	=	3	;	//	l
var 	Iscomedy	=	1	;	//	m
var 	Isdrama	=	1	;	//	n
var 	Past	=	1	;	//	o

var R;

// predictor function call
predictor(HighestactorUlmerscore	,
Ulmerscore	,
Seatsintheater	,
Weekofyear	,
Originalwork	,
Musical	,
Castsize	,
Disney	,
Basedonamovie	,
NYT	,
USA	,
majorTonyawards	,
Iscomedy	,
Isdrama	,
Past)

function predictor (
HighestactorUlmerscore,
Ulmerscore,
Seatsintheater,
Weekofyear,
Originalwork	,
Musical	,
Castsize	,
Disney	,
Basedonamovie	,
NYT	,
USA	,
majorTonyawards	,
Iscomedy	,
Isdrama	,
Past) {
            var PropSellout2 = 1/(1+(Math.exp(-(-(0.0042183*HighestactorUlmerscore)+(0.0039907*Ulmerscore)+(0.0000626*(Math.pow(HighestactorUlmerscore,2)))+(0.00000812*(Math.pow(Ulmerscore,2)))-(0.0007982*Seatsintheater)+(0.0419669*((Weekofyear==47?1:0)))+(1.041139*(((Weekofyear==52?(6/7):(Math.pow(Weekofyear==53?3/7:0))),2)))-(0.1213413*Weekofyear)+(0.0129541*(Math.pow(Weekofyear,2)))-(0.0003998*(Math.pow(Weekofyear,3)))+(0.00000373*(Math.pow(Weekofyear,4)))-(0.4756087*Weekofyear)-(3.885171*Musical)-(0.092289*Castsize*Musical)+(1.883142*Disney)-(0.0162975*Basedonamovie)+(0.0839098*Castsize)+(0.1854669*NYT)-(0.8336684*(1-NYT))+(0.2028874*Musical*USA)+(0.1258541*NYT*Musical)+(0.3561441*Musical*(1-NYT))-(0.470837*(Math.log(Castsize)))+(1.802581*Musical*(Math.log(Castsize)))+(1.217256*(Math.log(majorTonyawards)))-(0.5184693*Musical*(Math.log(majorTonyawards+1)))-(0.1466195*Iscomedy)-(0.157074*Isdrama)+(0.0150286*(Math.log(Past+1)))-1.9122703))));
//               console.log(PropSellout2)

//        1/(1+(EXP(-(-(0.0042183*A2)+(0.0039907*B2)+(0.0000626*(A2^2))+(0.00000812*(B2^2))-(0.0007982*C2)+(0.0419669*(IF(D2=47,1,0)))+(1.041139*((IF(D2=52,(6/7),IF(D2=53,3/7,0)))^2))-(0.1213413*D2)+(0.0129541*(D2^2))-(0.0003998*(D2^3))+(0.00000373*(D2^4))-(0.4756087*E2)-(3.885171*F2)-(0.092289*G2*F2)+(1.883142*H2)-(0.0162975*I2)+(0.0839098*G2)+(0.1854669*J2)-(0.8336684*(1-J2))+(0.2028874*F2*K2)+(0.1258541*J2*F2)+(0.3561441*F2*(1-J2))-(0.470837*(LN(G2)))+(1.802581*F2*(LN(G2)))+(1.217256*(LN(L2)))-(0.5184693*F2*(LN(L2+1)))-(0.1466195*M2)-(0.157074*N2)+(0.0150286*(LN(O2+1)))-1.9122703))))

} // end of predictor function

</script>
</body>

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