spec/dummy_iruby/.ipynb_checkpoints/Google Charts | Basics-checkpoint.ipynb

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      "\n",
      "Install the spreadsheet gem version ~>1.1.1 for using spreadsheet functions.\n",
      "\n",
      "Install the mechanize gem version ~>2.7.5 for using mechanize functions.\n"
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    "require 'daru/view'"
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       "c=(b=c.exec(b))&&b[1]);return c||\"\"};K.g.userAgent.platform.va=function(b){return 0<=K.f.Jb(K.g.userAgent.platform.Ob(),b)};K.Ha={};K.Ha.object=function(b,c){return c};K.Ha.ce=function(b){K.Ha.ce[\" \"](b);return b};K.Ha.ce[\" \"]=K.Ra;K.Ha.Lp=function(b,c){try{return K.Ha.ce(b[c]),!0}catch(d){}return!1};K.Ha.cache=function(b,c,d,e){e=e?e(c):c;return Object.prototype.hasOwnProperty.call(b,e)?b[e]:b[e]=d(c)};K.userAgent={};K.userAgent.qe=!1;K.userAgent.oe=!1;K.userAgent.pe=!1;K.userAgent.ve=!1;K.userAgent.Vc=!1;K.userAgent.te=!1;K.userAgent.Ch=!1;K.userAgent.Gb=K.userAgent.qe||K.userAgent.oe||K.userAgent.pe||K.userAgent.Vc||K.userAgent.ve||K.userAgent.te;K.userAgent.Nj=function(){return K.g.userAgent.A.wb()};K.userAgent.Wf=function(){return K.global.navigator||null};K.userAgent.Pe=K.userAgent.Gb?K.userAgent.te:K.g.userAgent.v.Od();K.userAgent.Y=K.userAgent.Gb?K.userAgent.qe:K.g.userAgent.v.xc();\n",
       "K.userAgent.Ee=K.userAgent.Gb?K.userAgent.oe:K.g.userAgent.U.Qa();K.userAgent.Rm=K.userAgent.Ee||K.userAgent.Y;K.userAgent.Zc=K.userAgent.Gb?K.userAgent.pe:K.g.userAgent.U.dk();K.userAgent.Hb=K.userAgent.Gb?K.userAgent.ve||K.userAgent.Vc:K.g.userAgent.U.Kg();K.userAgent.hk=function(){return K.userAgent.Hb&&K.g.userAgent.A.J(\"Mobile\")};K.userAgent.Vn=K.userAgent.Vc||K.userAgent.hk();K.userAgent.so=K.userAgent.Hb;K.userAgent.kj=function(){var b=K.userAgent.Wf();return b&&b.platform||\"\"};\n",
       "K.userAgent.jo=K.userAgent.kj();K.userAgent.se=!1;K.userAgent.we=!1;K.userAgent.re=!1;K.userAgent.xe=!1;K.userAgent.ne=!1;K.userAgent.Tc=!1;K.userAgent.Sc=!1;K.userAgent.Uc=!1;K.userAgent.Ca=K.userAgent.se||K.userAgent.we||K.userAgent.re||K.userAgent.xe||K.userAgent.ne||K.userAgent.Tc||K.userAgent.Sc||K.userAgent.Uc;K.userAgent.On=K.userAgent.Ca?K.userAgent.se:K.g.userAgent.platform.Gg();K.userAgent.ap=K.userAgent.Ca?K.userAgent.we:K.g.userAgent.platform.Mg();\n",
       "K.userAgent.ek=function(){return K.g.userAgent.platform.fk()||K.g.userAgent.platform.yg()};K.userAgent.Nn=K.userAgent.Ca?K.userAgent.re:K.userAgent.ek();K.userAgent.qk=function(){var b=K.userAgent.Wf();return!!b&&K.f.contains(b.appVersion||\"\",\"X11\")};K.userAgent.bp=K.userAgent.Ca?K.userAgent.xe:K.userAgent.qk();K.userAgent.Yl=K.userAgent.Ca?K.userAgent.ne:K.g.userAgent.platform.wg();K.userAgent.Cn=K.userAgent.Ca?K.userAgent.Tc:K.g.userAgent.platform.Eg();\n",
       "K.userAgent.Bn=K.userAgent.Ca?K.userAgent.Sc:K.g.userAgent.platform.Dg();K.userAgent.Dn=K.userAgent.Ca?K.userAgent.Uc:K.g.userAgent.platform.Fg();K.userAgent.An=K.userAgent.Ca?K.userAgent.Tc||K.userAgent.Sc||K.userAgent.Uc:K.g.userAgent.platform.Cg();K.userAgent.lj=function(){var b=\"\",c=K.userAgent.Pj();c&&(b=c?c[1]:\"\");return K.userAgent.Y&&(c=K.userAgent.Mf(),null!=c&&c>parseFloat(b))?String(c):b};\n",
       "K.userAgent.Pj=function(){var b=K.userAgent.Nj();if(K.userAgent.Zc)return/rv\\:([^\\);]+)(\\)|;)/.exec(b);if(K.userAgent.Ee)return/Edge\\/([\\d\\.]+)/.exec(b);if(K.userAgent.Y)return/\\b(?:MSIE|rv)[: ]([^\\);]+)(\\)|;)/.exec(b);if(K.userAgent.Hb)return/WebKit\\/(\\S+)/.exec(b);if(K.userAgent.Pe)return/(?:Version)[ \\/]?(\\S+)/.exec(b)};K.userAgent.Mf=function(){var b=K.global.document;return b?b.documentMode:void 0};K.userAgent.VERSION=K.userAgent.lj();K.userAgent.compare=function(b,c){return K.f.Jb(b,c)};\n",
       "K.userAgent.nk={};K.userAgent.va=function(b){return K.userAgent.Ch||K.Ha.cache(K.userAgent.nk,b,function(){return 0<=K.f.Jb(K.userAgent.VERSION,b)})};K.userAgent.Ur=K.userAgent.va;K.userAgent.Sb=function(b){return Number(K.userAgent.Th)>=b};K.userAgent.xr=K.userAgent.Sb;var L;var M=K.global.document,aa=K.userAgent.Mf();L=M&&K.userAgent.Y?aa||(\"CSS1Compat\"==M.compatMode?parseInt(K.userAgent.VERSION,10):5):void 0;K.userAgent.Th=L;K.a.jb={Ih:!K.userAgent.Y||K.userAgent.Sb(9),Jh:!K.userAgent.Zc&&!K.userAgent.Y||K.userAgent.Y&&K.userAgent.Sb(9)||K.userAgent.Zc&&K.userAgent.va(\"1.9.1\"),ze:K.userAgent.Y&&!K.userAgent.va(\"9\"),Kh:K.userAgent.Y||K.userAgent.Pe||K.userAgent.Hb,Zh:K.userAgent.Y,Jn:K.userAgent.Y&&!K.userAgent.Sb(9)};K.a.Nc={};K.a.Nc.Ei={area:!0,base:!0,br:!0,col:!0,command:!0,embed:!0,hr:!0,img:!0,input:!0,keygen:!0,link:!0,meta:!0,param:!0,source:!0,track:!0,wbr:!0};K.a.Nc.pk=function(b){return!0===K.a.Nc.Ei[b]};K.b.V=function(){this.Bc=\"\";this.ji=K.b.V.ca};K.b.V.prototype.xa=!0;K.b.V.ca={};K.b.V.pc=function(b){b=K.f.H.s(b);return 0===b.length?K.b.V.EMPTY:K.b.V.jd(b)};K.b.V.prototype.qa=G(\"Bc\");K.ea&&(K.b.V.prototype.toString=function(){return\"SafeScript{\"+this.Bc+\"}\"});K.b.V.s=function(b){if(b instanceof K.b.V&&b.constructor===K.b.V&&b.ji===K.b.V.ca)return b.Bc;K.m.la(\"expected object of type SafeScript, got '\"+b+k+K.aa(b));return\"type_error:SafeScript\"};K.b.V.jd=function(b){return(new K.b.V).eb(b)};\n",
       "K.b.V.prototype.eb=function(b){this.Bc=b;return this};K.b.V.EMPTY=K.b.V.jd(\"\");K.b.F=function(){this.Dc=\"\";this.li=K.b.F.ca};K.b.F.prototype.xa=!0;K.b.F.ca={};K.b.F.pc=function(b){b=K.f.H.s(b);return 0===b.length?K.b.F.EMPTY:K.b.F.rb(b)};K.b.F.Rp=F();K.b.F.prototype.qa=G(\"Dc\");K.ea&&(K.b.F.prototype.toString=function(){return\"SafeStyle{\"+this.Dc+\"}\"});K.b.F.s=function(b){if(b instanceof K.b.F&&b.constructor===K.b.F&&b.li===K.b.F.ca)return b.Dc;K.m.la(\"expected object of type SafeStyle, got '\"+b+k+K.aa(b));return\"type_error:SafeStyle\"};K.b.F.rb=function(b){return(new K.b.F).eb(b)};\n",
       "K.b.F.prototype.eb=function(b){this.Dc=b;return this};K.b.F.EMPTY=K.b.F.rb(\"\");K.b.F.Ua=\"zClosurez\";\n",
       "K.b.F.create=function(b){var c=\"\",d;for(d in b){if(!/^[-_a-zA-Z0-9]+$/.test(d))throw Error(\"Name allows only [-_a-zA-Z0-9], got: \"+d);var e=b[d];null!=e&&(e instanceof K.f.H?e=K.f.H.s(e):K.b.F.Bi.test(e)?K.b.F.Sj(e)||(K.m.la(\"String value requires balanced quotes, got: \"+e),e=K.b.F.Ua):(K.m.la(\"String value allows only [-,.\\\"'%_!# a-zA-Z0-9] and simple functions, got: \"+e),e=K.b.F.Ua),c+=d+\":\"+e+\";\")}return c?K.b.F.rb(c):K.b.F.EMPTY};\n",
       "K.b.F.Sj=function(b){for(var c=!0,d=!0,e=0;e<b.length;e++){var f=b.charAt(e);\"'\"==f&&d?c=!c:'\"'==f&&c&&(d=!d)}return c&&d};K.b.F.Bi=/^([-,.\"'%_!# a-zA-Z0-9]+|(hsl|hsla|rgb|rgba|(rotate|scale|translate)(X|Y|Z|3d)?)\\([-0-9a-z.%, ]+\\))$/;K.b.F.concat=function(b){function c(b){K.isArray(b)?K.j.forEach(b,c):d+=K.b.F.s(b)}var d=\"\";K.j.forEach(arguments,c);return d?K.b.F.rb(d):K.b.F.EMPTY};K.b.M=function(){this.Cc=\"\";this.ki=K.b.M.ca};K.b.M.prototype.xa=!0;K.b.M.ca={};\n",
       "K.b.M.gq=function(b,c){if(K.f.contains(b,\"<\"))throw Error(\"Selector does not allow '<', got: \"+b);var d=b.replace(/('|\")((?!\\1)[^\\r\\n\\f\\\\]|\\\\[\\s\\S])*\\1/g,\"\");if(!/^[-_a-zA-Z0-9#.:* ,>+~[\\]()=^$|]+$/.test(d))throw Error(\"Selector allows only [-_a-zA-Z0-9#.:* ,>+~[\\\\]()=^$|] and strings, got: \"+b);if(!K.b.M.Rj(d))throw Error(\"() and [] in selector must be balanced, got: \"+b);c instanceof K.b.F||(c=K.b.F.create(c));b=b+\"{\"+K.b.F.s(c)+\"}\";return K.b.M.sb(b)};\n",
       "K.b.M.Rj=function(b){for(var c={\"(\":\")\",\"[\":\"]\"},d=[],e=0;e<b.length;e++){var f=b[e];if(c[f])d.push(c[f]);else if(K.object.contains(c,f)&&d.pop()!=f)return!1}return 0==d.length};K.b.M.concat=function(b){function c(b){K.isArray(b)?K.j.forEach(b,c):d+=K.b.M.s(b)}var d=\"\";K.j.forEach(arguments,c);return K.b.M.sb(d)};K.b.M.pc=function(b){b=K.f.H.s(b);return 0===b.length?K.b.M.EMPTY:K.b.M.sb(b)};K.b.M.prototype.qa=G(\"Cc\");K.ea&&(K.b.M.prototype.toString=function(){return\"SafeStyleSheet{\"+this.Cc+\"}\"});\n",
       "K.b.M.s=function(b){if(b instanceof K.b.M&&b.constructor===K.b.M&&b.ki===K.b.M.ca)return b.Cc;K.m.la(\"expected object of type SafeStyleSheet, got '\"+b+k+K.aa(b));return\"type_error:SafeStyleSheet\"};K.b.M.sb=function(b){return(new K.b.M).eb(b)};K.b.M.prototype.eb=function(b){this.Cc=b;return this};K.b.M.EMPTY=K.b.M.sb(\"\");K.ta={};K.ta.url={};K.ta.url.aj=function(b){return K.ta.url.jg().createObjectURL(b)};K.ta.url.Os=function(b){K.ta.url.jg().revokeObjectURL(b)};K.ta.url.jg=function(){var b=K.ta.url.Df();if(null!=b)return b;throw Error(\"This browser doesn't seem to support blob URLs\");};K.ta.url.Df=function(){return K.P(K.global.URL)&&K.P(K.global.URL.createObjectURL)?K.global.URL:K.P(K.global.webkitURL)&&K.P(K.global.webkitURL.createObjectURL)?K.global.webkitURL:K.P(K.global.createObjectURL)?K.global:null};\n",
       "K.ta.url.Hp=function(){return null!=K.ta.url.Df()};K.b.u=function(){this.Ga=\"\";this.ni=K.b.u.ca};K.b.u.Ua=\"about:invalid#zClosurez\";K.b.u.prototype.xa=!0;K.b.u.prototype.qa=G(\"Ga\");K.b.u.prototype.Ed=!0;K.b.u.prototype.bb=function(){return K.h.i.O.Va};K.ea&&(K.b.u.prototype.toString=function(){return\"SafeUrl{\"+this.Ga+\"}\"});K.b.u.s=function(b){if(b instanceof K.b.u&&b.constructor===K.b.u&&b.ni===K.b.u.ca)return b.Ga;K.m.la(\"expected object of type SafeUrl, got '\"+b+k+K.aa(b));return\"type_error:SafeUrl\"};K.b.u.pc=function(b){return K.b.u.Ea(K.f.H.s(b))};\n",
       "K.b.Te=/^(?:image\\/(?:bmp|gif|jpeg|jpg|png|tiff|webp)|video\\/(?:mpeg|mp4|ogg|webm))$/i;K.b.u.Hq=function(b){b=K.b.Te.test(b.type)?K.ta.url.aj(b):K.b.u.Ua;return K.b.u.Ea(b)};K.b.Oh=/^data:([^;,]*);base64,[a-z0-9+\\/]+=*$/i;K.b.u.Jq=function(b){var c=b.match(K.b.Oh),c=c&&K.b.Te.test(c[1]);return K.b.u.Ea(c?b:K.b.u.Ua)};K.b.u.Lq=function(b){K.f.Wi(b)||(b=K.b.u.Ua);return K.b.u.Ea(b)};K.b.u.Mq=function(b){return K.b.u.Ea(K.b.D.s(b))};K.b.mi=/^(?:(?:https?|mailto|ftp):|[^:/?#]*(?:[/?#]|$))/i;\n",
       "K.b.u.Sa=function(b){if(b instanceof K.b.u)return b;b=b.xa?b.qa():String(b);K.b.mi.test(b)||(b=K.b.u.Ua);return K.b.u.Ea(b)};K.b.u.ca={};K.b.u.Ea=function(b){var c=new K.b.u;c.Ga=b;return c};K.b.u.Tl=K.b.u.Ea(\"about:blank\");K.b.l=function(){this.Ga=\"\";this.ii=K.b.l.ca;this.nc=null};K.b.l.prototype.Ed=!0;K.b.l.prototype.bb=G(\"nc\");K.b.l.prototype.xa=!0;K.b.l.prototype.qa=G(\"Ga\");K.ea&&(K.b.l.prototype.toString=function(){return\"SafeHtml{\"+this.Ga+\"}\"});K.b.l.s=function(b){if(b instanceof K.b.l&&b.constructor===K.b.l&&b.ii===K.b.l.ca)return b.Ga;K.m.la(\"expected object of type SafeHtml, got '\"+b+k+K.aa(b));return\"type_error:SafeHtml\"};\n",
       "K.b.l.ua=function(b){if(b instanceof K.b.l)return b;var c=null;b.Ed&&(c=b.bb());return K.b.l.oa(K.f.ua(b.xa?b.qa():String(b)),c)};K.b.l.kr=function(b){if(b instanceof K.b.l)return b;b=K.b.l.ua(b);return K.b.l.oa(K.f.Xg(K.b.l.s(b)),b.bb())};K.b.l.lr=function(b){if(b instanceof K.b.l)return b;b=K.b.l.ua(b);return K.b.l.oa(K.f.Ll(K.b.l.s(b)),b.bb())};K.b.l.from=K.b.l.ua;K.b.l.Ze=/^[a-zA-Z0-9-]+$/;K.b.l.zi={action:!0,cite:!0,data:!0,formaction:!0,href:!0,manifest:!0,poster:!0,src:!0};\n",
       "K.b.l.ei={APPLET:!0,BASE:!0,EMBED:!0,IFRAME:!0,LINK:!0,MATH:!0,META:!0,OBJECT:!0,SCRIPT:!0,STYLE:!0,SVG:!0,TEMPLATE:!0};K.b.l.create=function(b,c,d){K.b.l.Jl(String(b));return K.b.l.$a(String(b),c,d)};K.b.l.Jl=function(b){if(!K.b.l.Ze.test(b))throw Error(\"Invalid tag name <\"+b+\">.\");if(b.toUpperCase()in K.b.l.ei)throw Error(\"Tag name <\"+b+\"> is not allowed for SafeHtml.\");};\n",
       "K.b.l.cq=function(b,c,d,e){b&&K.b.D.s(b);var f={};f.src=b||null;f.srcdoc=c&&K.b.l.s(c);b=K.b.l.kc(f,{sandbox:\"\"},d);return K.b.l.$a(\"iframe\",b,e)};K.b.l.hq=function(b,c,d,e){if(!K.b.l.Ti())throw Error(\"The browser does not support sandboxed iframes.\");var f={};f.src=b?K.b.u.s(K.b.u.Sa(b)):null;f.srcdoc=c||null;f.sandbox=\"\";b=K.b.l.kc(f,{},d);return K.b.l.$a(\"iframe\",b,e)};K.b.l.Ti=function(){return K.global.HTMLIFrameElement&&\"sandbox\"in K.global.HTMLIFrameElement.prototype};\n",
       "K.b.l.jq=function(b,c){K.b.D.s(b);b=K.b.l.kc({src:b},{},c);return K.b.l.$a(\"script\",b)};K.b.l.iq=function(b,c){for(var d in c){var e=d.toLowerCase();if(\"language\"==e||\"src\"==e||\"text\"==e||\"type\"==e)throw Error('Cannot set \"'+e+'\" attribute');}d=\"\";b=K.j.concat(b);for(e=0;e<b.length;e++)d+=K.b.V.s(b[e]);b=K.b.l.oa(d,K.h.i.O.sa);return K.b.l.$a(\"script\",c,b)};\n",
       "K.b.l.kq=function(b,c){c=K.b.l.kc({type:\"text/css\"},{},c);var d=\"\";b=K.j.concat(b);for(var e=0;e<b.length;e++)d+=K.b.M.s(b[e]);b=K.b.l.oa(d,K.h.i.O.sa);return K.b.l.$a(\"style\",c,b)};K.b.l.fq=function(b,c){b=K.b.u.s(K.b.u.Sa(b));(K.g.userAgent.v.xc()||K.g.userAgent.v.Qa())&&K.f.contains(b,\";\")&&(b=\"'\"+b.replace(/'/g,\"%27\")+\"'\");return K.b.l.$a(\"meta\",{\"http-equiv\":\"refresh\",content:(c||0)+\"; url=\"+b})};\n",
       "K.b.l.zj=function(b,c,d){if(d instanceof K.f.H)d=K.f.H.s(d);else if(\"style\"==c.toLowerCase())d=K.b.l.Lj(d);else{if(/^on/i.test(c))throw Error('Attribute \"'+c+'\" requires goog.string.Const value, \"'+d+'\" given.');if(c.toLowerCase()in K.b.l.zi)if(d instanceof K.b.D)d=K.b.D.s(d);else if(d instanceof K.b.u)d=K.b.u.s(d);else if(K.L(d))d=K.b.u.Sa(d).qa();else throw Error('Attribute \"'+c+'\" on tag \"'+b+'\" requires goog.html.SafeUrl, goog.string.Const, or string, value \"'+d+'\" given.');}d.xa&&(d=d.qa());\n",
       "return c+'=\"'+K.f.ua(String(d))+'\"'};K.b.l.Lj=function(b){if(!K.ha(b))throw Error('The \"style\" attribute requires goog.html.SafeStyle or map of style properties, '+typeof b+\" given: \"+b);b instanceof K.b.F||(b=K.b.F.create(b));return K.b.F.s(b)};K.b.l.mq=function(b,c,d,e){c=K.b.l.create(c,d,e);c.nc=b;return c};\n",
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       " Portions of this code are from MochiKit, received by\n",
       " The Closure Authors under the MIT license. All other code is Copyright\n",
       " 2005-2009 The Closure Authors. All Rights Reserved.\n",
       "*/\n",
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       ":googlecharts"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Daru::View.plotting_library = :googlecharts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "#<Daru::View::Plot:0x007fa6b4ca69f0 @data=[], @options={}, @adapter=Daru::View::Adapter::GooglechartsAdapter, @chart=#<GoogleVisualr::Interactive::LineChart:0x007fa6b4ca6748 @data_table=#<GoogleVisualr::DataTable:0x007fa6b4ca68b0 @cols=[], @rows=[], @options={}>, @listeners=[], @version=\"1.0\", @language=nil, @material=false, @options={}>>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "line1 = Daru::View::Plot.new([])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Daru::View::Plot"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "line1.class"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div id='7be635ce-b867-4795-ab37-fccf2f885e91'></div>\n",
       "<script>\n",
       "\n",
       "  google.load('visualization', '1.0', {packages: ['corechart'], callback: draw_7be635ce_b867_4795_ab37_fccf2f885e91});\n",
       "  function draw_7be635ce_b867_4795_ab37_fccf2f885e91() {\n",
       "    var data_table = new google.visualization.DataTable();\n",
       "    var chart = new google.visualization.LineChart(document.getElementById('7be635ce-b867-4795-ab37-fccf2f885e91'));\n",
       "    chart.draw(data_table, {});\n",
       "  };\n",
       "</script>\n"
      ],
      "text/plain": [
       "\"<div id='7be635ce-b867-4795-ab37-fccf2f885e91'></div>\\n<script>\\n\\n  google.load('visualization', '1.0', {packages: ['corechart'], callback: draw_7be635ce_b867_4795_ab37_fccf2f885e91});\\n  function draw_7be635ce_b867_4795_ab37_fccf2f885e91() {\\n    var data_table = new google.visualization.DataTable();\\n    var chart = new google.visualization.LineChart(document.getElementById('7be635ce-b867-4795-ab37-fccf2f885e91'));\\n    chart.draw(data_table, {});\\n  };\\n</script>\\n\""
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "line1.show_in_iruby"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "  <tr>\n",
       "    <th colspan='3'>Daru::DataFrame(70x2)</th>\n",
       "  </tr>\n",
       "\n",
       "  \n",
       "    <tr>\n",
       "      <th></th>\n",
       "      \n",
       "        <th>0</th>\n",
       "      \n",
       "        <th>1</th>\n",
       "      \n",
       "    </tr>\n",
       "  \n",
       "\n",
       "  \n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      \n",
       "        <td>0</td>\n",
       "      \n",
       "        <td>0</td>\n",
       "      \n",
       "    </tr>\n",
       "  \n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      \n",
       "        <td>1</td>\n",
       "      \n",
       "        <td>10</td>\n",
       "      \n",
       "    </tr>\n",
       "  \n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      \n",
       "        <td>2</td>\n",
       "      \n",
       "        <td>23</td>\n",
       "      \n",
       "    </tr>\n",
       "  \n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      \n",
       "        <td>3</td>\n",
       "      \n",
       "        <td>17</td>\n",
       "      \n",
       "    </tr>\n",
       "  \n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      \n",
       "        <td>4</td>\n",
       "      \n",
       "        <td>18</td>\n",
       "      \n",
       "    </tr>\n",
       "  \n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      \n",
       "        <td>5</td>\n",
       "      \n",
       "        <td>9</td>\n",
       "      \n",
       "    </tr>\n",
       "  \n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      \n",
       "        <td>6</td>\n",
       "      \n",
       "        <td>11</td>\n",
       "      \n",
       "    </tr>\n",
       "  \n",
       "    <tr>\n",
       "      <td>7</td>\n",
       "      \n",
       "        <td>7</td>\n",
       "      \n",
       "        <td>27</td>\n",
       "      \n",
       "    </tr>\n",
       "  \n",
       "    <tr>\n",
       "      <td>8</td>\n",
       "      \n",
       "        <td>8</td>\n",
       "      \n",
       "        <td>33</td>\n",
       "      \n",
       "    </tr>\n",
       "  \n",
       "    <tr>\n",
       "      <td>9</td>\n",
       "      \n",
       "        <td>9</td>\n",
       "      \n",
       "        <td>40</td>\n",
       "      \n",
       "    </tr>\n",
       "  \n",
       "    <tr>\n",
       "      <td>10</td>\n",
       "      \n",
       "        <td>10</td>\n",
       "      \n",
       "        <td>32</td>\n",
       "      \n",
       "    </tr>\n",
       "  \n",
       "    <tr>\n",
       "      <td>11</td>\n",
       "      \n",
       "        <td>11</td>\n",
       "      \n",
       "        <td>35</td>\n",
       "      \n",
       "    </tr>\n",
       "  \n",
       "    <tr>\n",
       "      <td>12</td>\n",
       "      \n",
       "        <td>12</td>\n",
       "      \n",
       "        <td>30</td>\n",
       "      \n",
       "    </tr>\n",
       "  \n",
       "    <tr>\n",
       "      <td>13</td>\n",
       "      \n",
       "        <td>13</td>\n",
       "      \n",
       "        <td>40</td>\n",
       "      \n",
       "    </tr>\n",
       "  \n",
       "    <tr>\n",
       "      <td>14</td>\n",
       "      \n",
       "        <td>14</td>\n",
       "      \n",
       "        <td>42</td>\n",
       "      \n",
       "    </tr>\n",
       "  \n",
       "    <tr>\n",
       "      <td>15</td>\n",
       "      \n",
       "        <td>15</td>\n",
       "      \n",
       "        <td>47</td>\n",
       "      \n",
       "    </tr>\n",
       "  \n",
       "    <tr>\n",
       "      <td>16</td>\n",
       "      \n",
       "        <td>16</td>\n",
       "      \n",
       "        <td>44</td>\n",
       "      \n",
       "    </tr>\n",
       "  \n",
       "    <tr>\n",
       "      <td>17</td>\n",
       "      \n",
       "        <td>17</td>\n",
       "      \n",
       "        <td>48</td>\n",
       "      \n",
       "    </tr>\n",
       "  \n",
       "    <tr>\n",
       "      <td>18</td>\n",
       "      \n",
       "        <td>18</td>\n",
       "      \n",
       "        <td>52</td>\n",
       "      \n",
       "    </tr>\n",
       "  \n",
       "    <tr>\n",
       "      <td>19</td>\n",
       "      \n",
       "        <td>19</td>\n",
       "      \n",
       "        <td>54</td>\n",
       "      \n",
       "    </tr>\n",
       "  \n",
       "    <tr>\n",
       "      <td>20</td>\n",
       "      \n",
       "        <td>20</td>\n",
       "      \n",
       "        <td>42</td>\n",
       "      \n",
       "    </tr>\n",
       "  \n",
       "    <tr>\n",
       "      <td>21</td>\n",
       "      \n",
       "        <td>21</td>\n",
       "      \n",
       "        <td>55</td>\n",
       "      \n",
       "    </tr>\n",
       "  \n",
       "    <tr>\n",
       "      <td>22</td>\n",
       "      \n",
       "        <td>22</td>\n",
       "      \n",
       "        <td>56</td>\n",
       "      \n",
       "    </tr>\n",
       "  \n",
       "    <tr>\n",
       "      <td>23</td>\n",
       "      \n",
       "        <td>23</td>\n",
       "      \n",
       "        <td>57</td>\n",
       "      \n",
       "    </tr>\n",
       "  \n",
       "    <tr>\n",
       "      <td>24</td>\n",
       "      \n",
       "        <td>24</td>\n",
       "      \n",
       "        <td>60</td>\n",
       "      \n",
       "    </tr>\n",
       "  \n",
       "    <tr>\n",
       "      <td>25</td>\n",
       "      \n",
       "        <td>25</td>\n",
       "      \n",
       "        <td>50</td>\n",
       "      \n",
       "    </tr>\n",
       "  \n",
       "    <tr>\n",
       "      <td>26</td>\n",
       "      \n",
       "        <td>26</td>\n",
       "      \n",
       "        <td>52</td>\n",
       "      \n",
       "    </tr>\n",
       "  \n",
       "    <tr>\n",
       "      <td>27</td>\n",
       "      \n",
       "        <td>27</td>\n",
       "      \n",
       "        <td>51</td>\n",
       "      \n",
       "    </tr>\n",
       "  \n",
       "    <tr>\n",
       "      <td>28</td>\n",
       "      \n",
       "        <td>28</td>\n",
       "      \n",
       "        <td>49</td>\n",
       "      \n",
       "    </tr>\n",
       "  \n",
       "    <tr>\n",
       "      <td>29</td>\n",
       "      \n",
       "        <td>29</td>\n",
       "      \n",
       "        <td>53</td>\n",
       "      \n",
       "    </tr>\n",
       "  \n",
       "\n",
       "  \n",
       "    <tr>\n",
       "      \n",
       "        <td>...</td>\n",
       "      \n",
       "        <td>...</td>\n",
       "      \n",
       "        <td>...</td>\n",
       "      \n",
       "    </tr>\n",
       "\n",
       "    \n",
       "\n",
       "    <tr>\n",
       "      <td>69</td>\n",
       "        \n",
       "          <td>69</td>\n",
       "        \n",
       "          <td>80</td>\n",
       "        \n",
       "    </tr>\n",
       "  \n",
       "</table>"
      ],
      "text/plain": [
       "#<Daru::DataFrame(70x2)>\n",
       "       0   1\n",
       "   0   0   0\n",
       "   1   1  10\n",
       "   2   2  23\n",
       "   3   3  17\n",
       "   4   4  18\n",
       "   5   5   9\n",
       "   6   6  11\n",
       "   7   7  27\n",
       "   8   8  33\n",
       "   9   9  40\n",
       "  10  10  32\n",
       "  11  11  35\n",
       "  12  12  30\n",
       "  13  13  40\n",
       "  14  14  42\n",
       " ... ... ..."
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "time_popularity = [\n",
    "        [0, 0],   [1, 10],  [2, 23],  [3, 17],  [4, 18],  [5, 9],\n",
    "        [6, 11],  [7, 27],  [8, 33],  [9, 40],  [10, 32], [11, 35],\n",
    "        [12, 30], [13, 40], [14, 42], [15, 47], [16, 44], [17, 48],\n",
    "        [18, 52], [19, 54], [20, 42], [21, 55], [22, 56], [23, 57],\n",
    "        [24, 60], [25, 50], [26, 52], [27, 51], [28, 49], [29, 53],\n",
    "        [30, 55], [31, 60], [32, 61], [33, 59], [34, 62], [35, 65],\n",
    "        [36, 62], [37, 58], [38, 55], [39, 61], [40, 64], [41, 65],\n",
    "        [42, 63], [43, 66], [44, 67], [45, 69], [46, 69], [47, 70],\n",
    "        [48, 72], [49, 68], [50, 66], [51, 65], [52, 67], [53, 70],\n",
    "        [54, 71], [55, 72], [56, 73], [57, 75], [58, 70], [59, 68],\n",
    "        [60, 64], [61, 60], [62, 65], [63, 67], [64, 68], [65, 69],\n",
    "        [66, 70], [67, 72], [68, 75], [69, 80]\n",
    "      ]\n",
    "df_tp = Daru::DataFrame.rows(time_popularity)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "#<Daru::View::Plot:0x007fa6b4c0ec40 @data=#<Daru::DataFrame(70x2)>\n",
       "       0   1\n",
       "   0   0   0\n",
       "   1   1  10\n",
       "   2   2  23\n",
       "   3   3  17\n",
       "   4   4  18\n",
       "   5   5   9\n",
       "   6   6  11\n",
       "   7   7  27\n",
       "   8   8  33\n",
       "   9   9  40\n",
       "  10  10  32\n",
       "  11  11  35\n",
       "  12  12  30\n",
       "  13  13  40\n",
       "  14  14  42\n",
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#<GoogleVisualr::DataTable::Cell:0x007fa6b4bcfc70 @v=80, @type=\"number\">]], @options={}>, @listeners=[], @version=\"1.0\", @language=nil, @material=false, @options={}>>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "line_dv = Daru::View::Plot.new(df_tp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div id='5c30a25d-a682-410b-83a4-f46e88c60c47'></div>\n",
       "<script>\n",
       "\n",
       "  google.load('visualization', '1.0', {packages: ['corechart'], callback: draw_5c30a25d_a682_410b_83a4_f46e88c60c47});\n",
       "  function draw_5c30a25d_a682_410b_83a4_f46e88c60c47() {\n",
       "    var data_table = new google.visualization.DataTable();data_table.addColumn({\"type\":\"number\",\"label\":\"0\"});data_table.addColumn({\"type\":\"number\",\"label\":\"1\"});data_table.addRow([{v: 0}, {v: 0}]);data_table.addRow([{v: 1}, {v: 10}]);data_table.addRow([{v: 2}, {v: 23}]);data_table.addRow([{v: 3}, {v: 17}]);data_table.addRow([{v: 4}, {v: 18}]);data_table.addRow([{v: 5}, {v: 9}]);data_table.addRow([{v: 6}, {v: 11}]);data_table.addRow([{v: 7}, {v: 27}]);data_table.addRow([{v: 8}, {v: 33}]);data_table.addRow([{v: 9}, {v: 40}]);data_table.addRow([{v: 10}, {v: 32}]);data_table.addRow([{v: 11}, {v: 35}]);data_table.addRow([{v: 12}, {v: 30}]);data_table.addRow([{v: 13}, {v: 40}]);data_table.addRow([{v: 14}, {v: 42}]);data_table.addRow([{v: 15}, {v: 47}]);data_table.addRow([{v: 16}, {v: 44}]);data_table.addRow([{v: 17}, {v: 48}]);data_table.addRow([{v: 18}, {v: 52}]);data_table.addRow([{v: 19}, {v: 54}]);data_table.addRow([{v: 20}, {v: 42}]);data_table.addRow([{v: 21}, {v: 55}]);data_table.addRow([{v: 22}, {v: 56}]);data_table.addRow([{v: 23}, {v: 57}]);data_table.addRow([{v: 24}, {v: 60}]);data_table.addRow([{v: 25}, {v: 50}]);data_table.addRow([{v: 26}, {v: 52}]);data_table.addRow([{v: 27}, {v: 51}]);data_table.addRow([{v: 28}, {v: 49}]);data_table.addRow([{v: 29}, {v: 53}]);data_table.addRow([{v: 30}, {v: 55}]);data_table.addRow([{v: 31}, {v: 60}]);data_table.addRow([{v: 32}, {v: 61}]);data_table.addRow([{v: 33}, {v: 59}]);data_table.addRow([{v: 34}, {v: 62}]);data_table.addRow([{v: 35}, {v: 65}]);data_table.addRow([{v: 36}, {v: 62}]);data_table.addRow([{v: 37}, {v: 58}]);data_table.addRow([{v: 38}, {v: 55}]);data_table.addRow([{v: 39}, {v: 61}]);data_table.addRow([{v: 40}, {v: 64}]);data_table.addRow([{v: 41}, {v: 65}]);data_table.addRow([{v: 42}, {v: 63}]);data_table.addRow([{v: 43}, {v: 66}]);data_table.addRow([{v: 44}, {v: 67}]);data_table.addRow([{v: 45}, {v: 69}]);data_table.addRow([{v: 46}, {v: 69}]);data_table.addRow([{v: 47}, {v: 70}]);data_table.addRow([{v: 48}, {v: 72}]);data_table.addRow([{v: 49}, {v: 68}]);data_table.addRow([{v: 50}, {v: 66}]);data_table.addRow([{v: 51}, {v: 65}]);data_table.addRow([{v: 52}, {v: 67}]);data_table.addRow([{v: 53}, {v: 70}]);data_table.addRow([{v: 54}, {v: 71}]);data_table.addRow([{v: 55}, {v: 72}]);data_table.addRow([{v: 56}, {v: 73}]);data_table.addRow([{v: 57}, {v: 75}]);data_table.addRow([{v: 58}, {v: 70}]);data_table.addRow([{v: 59}, {v: 68}]);data_table.addRow([{v: 60}, {v: 64}]);data_table.addRow([{v: 61}, {v: 60}]);data_table.addRow([{v: 62}, {v: 65}]);data_table.addRow([{v: 63}, {v: 67}]);data_table.addRow([{v: 64}, {v: 68}]);data_table.addRow([{v: 65}, {v: 69}]);data_table.addRow([{v: 66}, {v: 70}]);data_table.addRow([{v: 67}, {v: 72}]);data_table.addRow([{v: 68}, {v: 75}]);data_table.addRow([{v: 69}, {v: 80}]);\n",
       "    var chart = new google.visualization.LineChart(document.getElementById('5c30a25d-a682-410b-83a4-f46e88c60c47'));\n",
       "    chart.draw(data_table, {});\n",
       "  };\n",
       "</script>\n"
      ],
      "text/plain": [
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@type=\"number\">]], @options={}>, @listeners=[], @version=\"1.0\", @language=nil, @material=false, @options={}>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "line_dv.chart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div id='8f88f439-35eb-40ea-b8ff-f393c2f62a0b'></div>\n",
       "<script>\n",
       "\n",
       "  google.load('visualization', 1.0, \n",
       " {packages: ['table'], callback:\n",
       " draw_8f88f439_35eb_40ea_b8ff_f393c2f62a0b});\n",
       "  function draw_8f88f439_35eb_40ea_b8ff_f393c2f62a0b() {\n",
       "    var data_table = new google.visualization.DataTable();data_table.addColumn({\"type\":\"number\",\"label\":\"0\"});data_table.addColumn({\"type\":\"number\",\"label\":\"1\"});data_table.addRow([{v: 0}, {v: 0}]);data_table.addRow([{v: 1}, {v: 10}]);data_table.addRow([{v: 2}, {v: 23}]);data_table.addRow([{v: 3}, {v: 17}]);data_table.addRow([{v: 4}, {v: 18}]);data_table.addRow([{v: 5}, {v: 9}]);data_table.addRow([{v: 6}, {v: 11}]);data_table.addRow([{v: 7}, {v: 27}]);data_table.addRow([{v: 8}, {v: 33}]);data_table.addRow([{v: 9}, {v: 40}]);data_table.addRow([{v: 10}, {v: 32}]);data_table.addRow([{v: 11}, {v: 35}]);data_table.addRow([{v: 12}, {v: 30}]);data_table.addRow([{v: 13}, {v: 40}]);data_table.addRow([{v: 14}, {v: 42}]);data_table.addRow([{v: 15}, {v: 47}]);data_table.addRow([{v: 16}, {v: 44}]);data_table.addRow([{v: 17}, {v: 48}]);data_table.addRow([{v: 18}, {v: 52}]);data_table.addRow([{v: 19}, {v: 54}]);data_table.addRow([{v: 20}, {v: 42}]);data_table.addRow([{v: 21}, {v: 55}]);data_table.addRow([{v: 22}, {v: 56}]);data_table.addRow([{v: 23}, {v: 57}]);data_table.addRow([{v: 24}, {v: 60}]);data_table.addRow([{v: 25}, {v: 50}]);data_table.addRow([{v: 26}, {v: 52}]);data_table.addRow([{v: 27}, {v: 51}]);data_table.addRow([{v: 28}, {v: 49}]);data_table.addRow([{v: 29}, {v: 53}]);data_table.addRow([{v: 30}, {v: 55}]);data_table.addRow([{v: 31}, {v: 60}]);data_table.addRow([{v: 32}, {v: 61}]);data_table.addRow([{v: 33}, {v: 59}]);data_table.addRow([{v: 34}, {v: 62}]);data_table.addRow([{v: 35}, {v: 65}]);data_table.addRow([{v: 36}, {v: 62}]);data_table.addRow([{v: 37}, {v: 58}]);data_table.addRow([{v: 38}, {v: 55}]);data_table.addRow([{v: 39}, {v: 61}]);data_table.addRow([{v: 40}, {v: 64}]);data_table.addRow([{v: 41}, {v: 65}]);data_table.addRow([{v: 42}, {v: 63}]);data_table.addRow([{v: 43}, {v: 66}]);data_table.addRow([{v: 44}, {v: 67}]);data_table.addRow([{v: 45}, {v: 69}]);data_table.addRow([{v: 46}, {v: 69}]);data_table.addRow([{v: 47}, {v: 70}]);data_table.addRow([{v: 48}, {v: 72}]);data_table.addRow([{v: 49}, {v: 68}]);data_table.addRow([{v: 50}, {v: 66}]);data_table.addRow([{v: 51}, {v: 65}]);data_table.addRow([{v: 52}, {v: 67}]);data_table.addRow([{v: 53}, {v: 70}]);data_table.addRow([{v: 54}, {v: 71}]);data_table.addRow([{v: 55}, {v: 72}]);data_table.addRow([{v: 56}, {v: 73}]);data_table.addRow([{v: 57}, {v: 75}]);data_table.addRow([{v: 58}, {v: 70}]);data_table.addRow([{v: 59}, {v: 68}]);data_table.addRow([{v: 60}, {v: 64}]);data_table.addRow([{v: 61}, {v: 60}]);data_table.addRow([{v: 62}, {v: 65}]);data_table.addRow([{v: 63}, {v: 67}]);data_table.addRow([{v: 64}, {v: 68}]);data_table.addRow([{v: 65}, {v: 69}]);data_table.addRow([{v: 66}, {v: 70}]);data_table.addRow([{v: 67}, {v: 72}]);data_table.addRow([{v: 68}, {v: 75}]);data_table.addRow([{v: 69}, {v: 80}]);\n",
       "    var table = new google.visualization.Table(\n",
       "    document.getElementById('8f88f439-35eb-40ea-b8ff-f393c2f62a0b'));\n",
       "    table.draw(data_table, {}); \n",
       "  };\n",
       "</script>\n"
      ],
      "text/plain": [
       "#<GoogleVisualr::DataTable:0x007fa6b4c0ebf0 @cols=[{:type=>\"number\", :label=>\"0\"}, {:type=>\"number\", :label=>\"1\"}], @rows=[[#<GoogleVisualr::DataTable::Cell:0x007fa6b4bdfc60 @v=0, @type=\"number\">, #<GoogleVisualr::DataTable::Cell:0x007fa6b4bdfbe8 @v=0, @type=\"number\">], [#<GoogleVisualr::DataTable::Cell:0x007fa6b4bdfad0 @v=1, @type=\"number\">, #<GoogleVisualr::DataTable::Cell:0x007fa6b4bdfa58 @v=10, @type=\"number\">], [#<GoogleVisualr::DataTable::Cell:0x007fa6b4bdf940 @v=2, @type=\"number\">, #<GoogleVisualr::DataTable::Cell:0x007fa6b4bdf8c8 @v=23, @type=\"number\">], [#<GoogleVisualr::DataTable::Cell:0x007fa6b4bdf710 @v=3, @type=\"number\">, #<GoogleVisualr::DataTable::Cell:0x007fa6b4bdf698 @v=17, @type=\"number\">], [#<GoogleVisualr::DataTable::Cell:0x007fa6b4bdf5a8 @v=4, @type=\"number\">, #<GoogleVisualr::DataTable::Cell:0x007fa6b4bdf530 @v=18, @type=\"number\">], [#<GoogleVisualr::DataTable::Cell:0x007fa6b4bdf418 @v=5, @type=\"number\">, #<GoogleVisualr::DataTable::Cell:0x007fa6b4bdf3a0 @v=9, @type=\"number\">], [#<GoogleVisualr::DataTable::Cell:0x007fa6b4bdf2b0 @v=6, @type=\"number\">, #<GoogleVisualr::DataTable::Cell:0x007fa6b4bdf170 @v=11, @type=\"number\">], [#<GoogleVisualr::DataTable::Cell:0x007fa6b4bdf080 @v=7, @type=\"number\">, #<GoogleVisualr::DataTable::Cell:0x007fa6b4bdf008 @v=27, @type=\"number\">], [#<GoogleVisualr::DataTable::Cell:0x007fa6b4bdeef0 @v=8, @type=\"number\">, #<GoogleVisualr::DataTable::Cell:0x007fa6b4bdee78 @v=33, @type=\"number\">], [#<GoogleVisualr::DataTable::Cell:0x007fa6b4bded60 @v=9, @type=\"number\">, #<GoogleVisualr::DataTable::Cell:0x007fa6b4bdecc0 @v=40, @type=\"number\">], [#<GoogleVisualr::DataTable::Cell:0x007fa6b4bdeb08 @v=10, @type=\"number\">, #<GoogleVisualr::DataTable::Cell:0x007fa6b4bdea90 @v=32, @type=\"number\">], [#<GoogleVisualr::DataTable::Cell:0x007fa6b4bde9a0 @v=11, @type=\"number\">, #<GoogleVisualr::DataTable::Cell:0x007fa6b4bde928 @v=35, @type=\"number\">], 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      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "line_dv.chart.data_table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{:pageSize=>10}"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "line_dv.chart.data_table.options = {pageSize: 10}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div id='7ec33209-88dc-4979-9eb7-316df3d7ce51'></div>\n",
       "<script>\n",
       "\n",
       "  google.load('visualization', 1.0, \n",
       " {packages: ['table'], callback:\n",
       " draw_7ec33209_88dc_4979_9eb7_316df3d7ce51});\n",
       "  function draw_7ec33209_88dc_4979_9eb7_316df3d7ce51() {\n",
       "    var data_table = new google.visualization.DataTable();data_table.addColumn({\"type\":\"number\",\"label\":\"0\"});data_table.addColumn({\"type\":\"number\",\"label\":\"1\"});data_table.addRow([{v: 0}, {v: 0}]);data_table.addRow([{v: 1}, {v: 10}]);data_table.addRow([{v: 2}, {v: 23}]);data_table.addRow([{v: 3}, {v: 17}]);data_table.addRow([{v: 4}, {v: 18}]);data_table.addRow([{v: 5}, {v: 9}]);data_table.addRow([{v: 6}, {v: 11}]);data_table.addRow([{v: 7}, {v: 27}]);data_table.addRow([{v: 8}, {v: 33}]);data_table.addRow([{v: 9}, {v: 40}]);data_table.addRow([{v: 10}, {v: 32}]);data_table.addRow([{v: 11}, {v: 35}]);data_table.addRow([{v: 12}, {v: 30}]);data_table.addRow([{v: 13}, {v: 40}]);data_table.addRow([{v: 14}, {v: 42}]);data_table.addRow([{v: 15}, {v: 47}]);data_table.addRow([{v: 16}, {v: 44}]);data_table.addRow([{v: 17}, {v: 48}]);data_table.addRow([{v: 18}, {v: 52}]);data_table.addRow([{v: 19}, {v: 54}]);data_table.addRow([{v: 20}, {v: 42}]);data_table.addRow([{v: 21}, {v: 55}]);data_table.addRow([{v: 22}, {v: 56}]);data_table.addRow([{v: 23}, {v: 57}]);data_table.addRow([{v: 24}, {v: 60}]);data_table.addRow([{v: 25}, {v: 50}]);data_table.addRow([{v: 26}, {v: 52}]);data_table.addRow([{v: 27}, {v: 51}]);data_table.addRow([{v: 28}, {v: 49}]);data_table.addRow([{v: 29}, {v: 53}]);data_table.addRow([{v: 30}, {v: 55}]);data_table.addRow([{v: 31}, {v: 60}]);data_table.addRow([{v: 32}, {v: 61}]);data_table.addRow([{v: 33}, {v: 59}]);data_table.addRow([{v: 34}, {v: 62}]);data_table.addRow([{v: 35}, {v: 65}]);data_table.addRow([{v: 36}, {v: 62}]);data_table.addRow([{v: 37}, {v: 58}]);data_table.addRow([{v: 38}, {v: 55}]);data_table.addRow([{v: 39}, {v: 61}]);data_table.addRow([{v: 40}, {v: 64}]);data_table.addRow([{v: 41}, {v: 65}]);data_table.addRow([{v: 42}, {v: 63}]);data_table.addRow([{v: 43}, {v: 66}]);data_table.addRow([{v: 44}, {v: 67}]);data_table.addRow([{v: 45}, {v: 69}]);data_table.addRow([{v: 46}, {v: 69}]);data_table.addRow([{v: 47}, {v: 70}]);data_table.addRow([{v: 48}, {v: 72}]);data_table.addRow([{v: 49}, {v: 68}]);data_table.addRow([{v: 50}, {v: 66}]);data_table.addRow([{v: 51}, {v: 65}]);data_table.addRow([{v: 52}, {v: 67}]);data_table.addRow([{v: 53}, {v: 70}]);data_table.addRow([{v: 54}, {v: 71}]);data_table.addRow([{v: 55}, {v: 72}]);data_table.addRow([{v: 56}, {v: 73}]);data_table.addRow([{v: 57}, {v: 75}]);data_table.addRow([{v: 58}, {v: 70}]);data_table.addRow([{v: 59}, {v: 68}]);data_table.addRow([{v: 60}, {v: 64}]);data_table.addRow([{v: 61}, {v: 60}]);data_table.addRow([{v: 62}, {v: 65}]);data_table.addRow([{v: 63}, {v: 67}]);data_table.addRow([{v: 64}, {v: 68}]);data_table.addRow([{v: 65}, {v: 69}]);data_table.addRow([{v: 66}, {v: 70}]);data_table.addRow([{v: 67}, {v: 72}]);data_table.addRow([{v: 68}, {v: 75}]);data_table.addRow([{v: 69}, {v: 80}]);\n",
       "    var table = new google.visualization.Table(\n",
       "    document.getElementById('7ec33209-88dc-4979-9eb7-316df3d7ce51'));\n",
       "    table.draw(data_table, {pageSize: 10}); \n",
       "  };\n",
       "</script>\n"
      ],
      "text/plain": [
       "#<GoogleVisualr::DataTable:0x007fa6b4c0ebf0 @cols=[{:type=>\"number\", :label=>\"0\"}, {:type=>\"number\", :label=>\"1\"}], @rows=[[#<GoogleVisualr::DataTable::Cell:0x007fa6b4bdfc60 @v=0, @type=\"number\">, #<GoogleVisualr::DataTable::Cell:0x007fa6b4bdfbe8 @v=0, @type=\"number\">], [#<GoogleVisualr::DataTable::Cell:0x007fa6b4bdfad0 @v=1, @type=\"number\">, #<GoogleVisualr::DataTable::Cell:0x007fa6b4bdfa58 @v=10, @type=\"number\">], [#<GoogleVisualr::DataTable::Cell:0x007fa6b4bdf940 @v=2, @type=\"number\">, #<GoogleVisualr::DataTable::Cell:0x007fa6b4bdf8c8 @v=23, @type=\"number\">], [#<GoogleVisualr::DataTable::Cell:0x007fa6b4bdf710 @v=3, @type=\"number\">, #<GoogleVisualr::DataTable::Cell:0x007fa6b4bdf698 @v=17, @type=\"number\">], [#<GoogleVisualr::DataTable::Cell:0x007fa6b4bdf5a8 @v=4, @type=\"number\">, #<GoogleVisualr::DataTable::Cell:0x007fa6b4bdf530 @v=18, @type=\"number\">], [#<GoogleVisualr::DataTable::Cell:0x007fa6b4bdf418 @v=5, @type=\"number\">, 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[#<GoogleVisualr::DataTable::Cell:0x007fa6b4bd5f80 @v=51, @type=\"number\">, #<GoogleVisualr::DataTable::Cell:0x007fa6b4bd5f08 @v=65, @type=\"number\">], [#<GoogleVisualr::DataTable::Cell:0x007fa6b4bd5dc8 @v=52, @type=\"number\">, #<GoogleVisualr::DataTable::Cell:0x007fa6b4bd5d28 @v=67, @type=\"number\">], [#<GoogleVisualr::DataTable::Cell:0x007fa6b4bd5c38 @v=53, @type=\"number\">, #<GoogleVisualr::DataTable::Cell:0x007fa6b4bd5bc0 @v=70, @type=\"number\">], [#<GoogleVisualr::DataTable::Cell:0x007fa6b4bd5a08 @v=54, @type=\"number\">, #<GoogleVisualr::DataTable::Cell:0x007fa6b4bd5990 @v=71, @type=\"number\">], [#<GoogleVisualr::DataTable::Cell:0x007fa6b4bd58a0 @v=55, @type=\"number\">, #<GoogleVisualr::DataTable::Cell:0x007fa6b4bd5828 @v=72, @type=\"number\">], [#<GoogleVisualr::DataTable::Cell:0x007fa6b4bd5738 @v=56, @type=\"number\">, #<GoogleVisualr::DataTable::Cell:0x007fa6b4bd56c0 @v=73, @type=\"number\">], [#<GoogleVisualr::DataTable::Cell:0x007fa6b4bd55d0 @v=57, @type=\"number\">, #<GoogleVisualr::DataTable::Cell:0x007fa6b4bd54e0 @v=75, @type=\"number\">], [#<GoogleVisualr::DataTable::Cell:0x007fa6b4bd5378 @v=58, @type=\"number\">, #<GoogleVisualr::DataTable::Cell:0x007fa6b4bd5300 @v=70, @type=\"number\">], [#<GoogleVisualr::DataTable::Cell:0x007fa6b4bd5210 @v=59, @type=\"number\">, #<GoogleVisualr::DataTable::Cell:0x007fa6b4bd5198 @v=68, @type=\"number\">], [#<GoogleVisualr::DataTable::Cell:0x007fa6b4bd50a8 @v=60, @type=\"number\">, #<GoogleVisualr::DataTable::Cell:0x007fa6b4bd5030 @v=64, @type=\"number\">], [#<GoogleVisualr::DataTable::Cell:0x007fa6b4bd4e78 @v=61, @type=\"number\">, #<GoogleVisualr::DataTable::Cell:0x007fa6b4bd4e00 @v=60, @type=\"number\">], [#<GoogleVisualr::DataTable::Cell:0x007fa6b4bd4d10 @v=62, @type=\"number\">, #<GoogleVisualr::DataTable::Cell:0x007fa6b4bd4c98 @v=65, @type=\"number\">], [#<GoogleVisualr::DataTable::Cell:0x007fa6b4bd4ba8 @v=63, @type=\"number\">, #<GoogleVisualr::DataTable::Cell:0x007fa6b4bd4b30 @v=67, @type=\"number\">], [#<GoogleVisualr::DataTable::Cell:0x007fa6b4bd4a18 @v=64, @type=\"number\">, #<GoogleVisualr::DataTable::Cell:0x007fa6b4bd49a0 @v=68, @type=\"number\">], [#<GoogleVisualr::DataTable::Cell:0x007fa6b4bd47e8 @v=65, @type=\"number\">, #<GoogleVisualr::DataTable::Cell:0x007fa6b4bd4720 @v=69, @type=\"number\">], [#<GoogleVisualr::DataTable::Cell:0x007fa6b4bd4568 @v=66, @type=\"number\">, #<GoogleVisualr::DataTable::Cell:0x007fa6b4bd44f0 @v=70, @type=\"number\">], [#<GoogleVisualr::DataTable::Cell:0x007fa6b4bd4270 @v=67, @type=\"number\">, #<GoogleVisualr::DataTable::Cell:0x007fa6b4bd41a8 @v=72, @type=\"number\">], [#<GoogleVisualr::DataTable::Cell:0x007fa6b4bd5fd0 @v=68, @type=\"number\">, #<GoogleVisualr::DataTable::Cell:0x007fa6b4bcff68 @v=75, @type=\"number\">], [#<GoogleVisualr::DataTable::Cell:0x007fa6b4bcfd38 @v=69, @type=\"number\">, #<GoogleVisualr::DataTable::Cell:0x007fa6b4bcfc70 @v=80, @type=\"number\">]], @options={:pageSize=>10}>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "line_dv.chart.data_table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{}\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "{\"hAxis\"=>{:title=>\"Time\"}, \"vAxis\"=>{:title=>\"Popularity\"}}"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "p line_dv.chart.options\n",
    "line_dv.chart.options = {\n",
    "        hAxis: {\n",
    "          title: 'Time'\n",
    "        },\n",
    "        vAxis: {\n",
    "          title: 'Popularity'\n",
    "        }\n",
    "      }"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div id='a75908b4-0341-4cf6-abaf-3ab37044ff96'></div>\n",
       "<script>\n",
       "\n",
       "  google.load('visualization', '1.0', {packages: ['corechart'], callback: draw_a75908b4_0341_4cf6_abaf_3ab37044ff96});\n",
       "  function draw_a75908b4_0341_4cf6_abaf_3ab37044ff96() {\n",
       "    var data_table = new google.visualization.DataTable();data_table.addColumn({\"type\":\"number\",\"label\":\"0\"});data_table.addColumn({\"type\":\"number\",\"label\":\"1\"});data_table.addRow([{v: 0}, {v: 0}]);data_table.addRow([{v: 1}, {v: 10}]);data_table.addRow([{v: 2}, {v: 23}]);data_table.addRow([{v: 3}, {v: 17}]);data_table.addRow([{v: 4}, {v: 18}]);data_table.addRow([{v: 5}, {v: 9}]);data_table.addRow([{v: 6}, {v: 11}]);data_table.addRow([{v: 7}, {v: 27}]);data_table.addRow([{v: 8}, {v: 33}]);data_table.addRow([{v: 9}, {v: 40}]);data_table.addRow([{v: 10}, {v: 32}]);data_table.addRow([{v: 11}, {v: 35}]);data_table.addRow([{v: 12}, {v: 30}]);data_table.addRow([{v: 13}, {v: 40}]);data_table.addRow([{v: 14}, {v: 42}]);data_table.addRow([{v: 15}, {v: 47}]);data_table.addRow([{v: 16}, {v: 44}]);data_table.addRow([{v: 17}, {v: 48}]);data_table.addRow([{v: 18}, {v: 52}]);data_table.addRow([{v: 19}, {v: 54}]);data_table.addRow([{v: 20}, {v: 42}]);data_table.addRow([{v: 21}, {v: 55}]);data_table.addRow([{v: 22}, {v: 56}]);data_table.addRow([{v: 23}, {v: 57}]);data_table.addRow([{v: 24}, {v: 60}]);data_table.addRow([{v: 25}, {v: 50}]);data_table.addRow([{v: 26}, {v: 52}]);data_table.addRow([{v: 27}, {v: 51}]);data_table.addRow([{v: 28}, {v: 49}]);data_table.addRow([{v: 29}, {v: 53}]);data_table.addRow([{v: 30}, {v: 55}]);data_table.addRow([{v: 31}, {v: 60}]);data_table.addRow([{v: 32}, {v: 61}]);data_table.addRow([{v: 33}, {v: 59}]);data_table.addRow([{v: 34}, {v: 62}]);data_table.addRow([{v: 35}, {v: 65}]);data_table.addRow([{v: 36}, {v: 62}]);data_table.addRow([{v: 37}, {v: 58}]);data_table.addRow([{v: 38}, {v: 55}]);data_table.addRow([{v: 39}, {v: 61}]);data_table.addRow([{v: 40}, {v: 64}]);data_table.addRow([{v: 41}, {v: 65}]);data_table.addRow([{v: 42}, {v: 63}]);data_table.addRow([{v: 43}, {v: 66}]);data_table.addRow([{v: 44}, {v: 67}]);data_table.addRow([{v: 45}, {v: 69}]);data_table.addRow([{v: 46}, {v: 69}]);data_table.addRow([{v: 47}, {v: 70}]);data_table.addRow([{v: 48}, {v: 72}]);data_table.addRow([{v: 49}, {v: 68}]);data_table.addRow([{v: 50}, {v: 66}]);data_table.addRow([{v: 51}, {v: 65}]);data_table.addRow([{v: 52}, {v: 67}]);data_table.addRow([{v: 53}, {v: 70}]);data_table.addRow([{v: 54}, {v: 71}]);data_table.addRow([{v: 55}, {v: 72}]);data_table.addRow([{v: 56}, {v: 73}]);data_table.addRow([{v: 57}, {v: 75}]);data_table.addRow([{v: 58}, {v: 70}]);data_table.addRow([{v: 59}, {v: 68}]);data_table.addRow([{v: 60}, {v: 64}]);data_table.addRow([{v: 61}, {v: 60}]);data_table.addRow([{v: 62}, {v: 65}]);data_table.addRow([{v: 63}, {v: 67}]);data_table.addRow([{v: 64}, {v: 68}]);data_table.addRow([{v: 65}, {v: 69}]);data_table.addRow([{v: 66}, {v: 70}]);data_table.addRow([{v: 67}, {v: 72}]);data_table.addRow([{v: 68}, {v: 75}]);data_table.addRow([{v: 69}, {v: 80}]);\n",
       "    var chart = new google.visualization.LineChart(document.getElementById('a75908b4-0341-4cf6-abaf-3ab37044ff96'));\n",
       "    chart.draw(data_table, {hAxis: {title: \"Time\"}, vAxis: {title: \"Popularity\"}});\n",
       "  };\n",
       "</script>\n"
      ],
      "text/plain": [
       "\"<div id='a75908b4-0341-4cf6-abaf-3ab37044ff96'></div>\\n<script>\\n\\n  google.load('visualization', '1.0', {packages: ['corechart'], callback: draw_a75908b4_0341_4cf6_abaf_3ab37044ff96});\\n  function draw_a75908b4_0341_4cf6_abaf_3ab37044ff96() {\\n    var data_table = new google.visualization.DataTable();data_table.addColumn({\\\"type\\\":\\\"number\\\",\\\"label\\\":\\\"0\\\"});data_table.addColumn({\\\"type\\\":\\\"number\\\",\\\"label\\\":\\\"1\\\"});data_table.addRow([{v: 0}, {v: 0}]);data_table.addRow([{v: 1}, {v: 10}]);data_table.addRow([{v: 2}, {v: 23}]);data_table.addRow([{v: 3}, {v: 17}]);data_table.addRow([{v: 4}, {v: 18}]);data_table.addRow([{v: 5}, {v: 9}]);data_table.addRow([{v: 6}, {v: 11}]);data_table.addRow([{v: 7}, {v: 27}]);data_table.addRow([{v: 8}, {v: 33}]);data_table.addRow([{v: 9}, {v: 40}]);data_table.addRow([{v: 10}, {v: 32}]);data_table.addRow([{v: 11}, {v: 35}]);data_table.addRow([{v: 12}, {v: 30}]);data_table.addRow([{v: 13}, {v: 40}]);data_table.addRow([{v: 14}, {v: 42}]);data_table.addRow([{v: 15}, {v: 47}]);data_table.addRow([{v: 16}, {v: 44}]);data_table.addRow([{v: 17}, {v: 48}]);data_table.addRow([{v: 18}, {v: 52}]);data_table.addRow([{v: 19}, {v: 54}]);data_table.addRow([{v: 20}, {v: 42}]);data_table.addRow([{v: 21}, {v: 55}]);data_table.addRow([{v: 22}, {v: 56}]);data_table.addRow([{v: 23}, {v: 57}]);data_table.addRow([{v: 24}, {v: 60}]);data_table.addRow([{v: 25}, {v: 50}]);data_table.addRow([{v: 26}, {v: 52}]);data_table.addRow([{v: 27}, {v: 51}]);data_table.addRow([{v: 28}, {v: 49}]);data_table.addRow([{v: 29}, {v: 53}]);data_table.addRow([{v: 30}, {v: 55}]);data_table.addRow([{v: 31}, {v: 60}]);data_table.addRow([{v: 32}, {v: 61}]);data_table.addRow([{v: 33}, {v: 59}]);data_table.addRow([{v: 34}, {v: 62}]);data_table.addRow([{v: 35}, {v: 65}]);data_table.addRow([{v: 36}, {v: 62}]);data_table.addRow([{v: 37}, {v: 58}]);data_table.addRow([{v: 38}, {v: 55}]);data_table.addRow([{v: 39}, {v: 61}]);data_table.addRow([{v: 40}, {v: 64}]);data_table.addRow([{v: 41}, {v: 65}]);data_table.addRow([{v: 42}, {v: 63}]);data_table.addRow([{v: 43}, {v: 66}]);data_table.addRow([{v: 44}, {v: 67}]);data_table.addRow([{v: 45}, {v: 69}]);data_table.addRow([{v: 46}, {v: 69}]);data_table.addRow([{v: 47}, {v: 70}]);data_table.addRow([{v: 48}, {v: 72}]);data_table.addRow([{v: 49}, {v: 68}]);data_table.addRow([{v: 50}, {v: 66}]);data_table.addRow([{v: 51}, {v: 65}]);data_table.addRow([{v: 52}, {v: 67}]);data_table.addRow([{v: 53}, {v: 70}]);data_table.addRow([{v: 54}, {v: 71}]);data_table.addRow([{v: 55}, {v: 72}]);data_table.addRow([{v: 56}, {v: 73}]);data_table.addRow([{v: 57}, {v: 75}]);data_table.addRow([{v: 58}, {v: 70}]);data_table.addRow([{v: 59}, {v: 68}]);data_table.addRow([{v: 60}, {v: 64}]);data_table.addRow([{v: 61}, {v: 60}]);data_table.addRow([{v: 62}, {v: 65}]);data_table.addRow([{v: 63}, {v: 67}]);data_table.addRow([{v: 64}, {v: 68}]);data_table.addRow([{v: 65}, {v: 69}]);data_table.addRow([{v: 66}, {v: 70}]);data_table.addRow([{v: 67}, {v: 72}]);data_table.addRow([{v: 68}, {v: 75}]);data_table.addRow([{v: 69}, {v: 80}]);\\n    var chart = new google.visualization.LineChart(document.getElementById('a75908b4-0341-4cf6-abaf-3ab37044ff96'));\\n    chart.draw(data_table, {hAxis: {title: \\\"Time\\\"}, vAxis: {title: \\\"Popularity\\\"}});\\n  };\\n</script>\\n\""
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "line_dv.show_in_iruby"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div id='f2a25c63-c28c-41ac-aa99-4ee6dbf6c14b'></div>\n",
       "<script>\n",
       "\n",
       "  google.load('visualization', '1.0', {packages: ['corechart'], callback: draw_f2a25c63_c28c_41ac_aa99_4ee6dbf6c14b});\n",
       "  function draw_f2a25c63_c28c_41ac_aa99_4ee6dbf6c14b() {\n",
       "    var data_table = new google.visualization.DataTable();data_table.addColumn({\"type\":\"number\",\"label\":\"X\"});data_table.addColumn({\"type\":\"number\",\"label\":\"Dogs\"});data_table.addRow([{v: 0}, {v: 0}]);data_table.addRow([{v: 1}, {v: 10}]);data_table.addRow([{v: 2}, {v: 23}]);data_table.addRow([{v: 3}, {v: 17}]);data_table.addRow([{v: 4}, {v: 18}]);data_table.addRow([{v: 5}, {v: 9}]);data_table.addRow([{v: 6}, {v: 11}]);data_table.addRow([{v: 7}, {v: 27}]);data_table.addRow([{v: 8}, {v: 33}]);data_table.addRow([{v: 9}, {v: 40}]);data_table.addRow([{v: 10}, {v: 32}]);data_table.addRow([{v: 11}, {v: 35}]);data_table.addRow([{v: 12}, {v: 30}]);data_table.addRow([{v: 13}, {v: 40}]);data_table.addRow([{v: 14}, {v: 42}]);data_table.addRow([{v: 15}, {v: 47}]);data_table.addRow([{v: 16}, {v: 44}]);data_table.addRow([{v: 17}, {v: 48}]);data_table.addRow([{v: 18}, {v: 52}]);data_table.addRow([{v: 19}, {v: 54}]);data_table.addRow([{v: 20}, {v: 42}]);data_table.addRow([{v: 21}, {v: 55}]);data_table.addRow([{v: 22}, {v: 56}]);data_table.addRow([{v: 23}, {v: 57}]);data_table.addRow([{v: 24}, {v: 60}]);data_table.addRow([{v: 25}, {v: 50}]);data_table.addRow([{v: 26}, {v: 52}]);data_table.addRow([{v: 27}, {v: 51}]);data_table.addRow([{v: 28}, {v: 49}]);data_table.addRow([{v: 29}, {v: 53}]);data_table.addRow([{v: 30}, {v: 55}]);data_table.addRow([{v: 31}, {v: 60}]);data_table.addRow([{v: 32}, {v: 61}]);data_table.addRow([{v: 33}, {v: 59}]);data_table.addRow([{v: 34}, {v: 62}]);data_table.addRow([{v: 35}, {v: 65}]);data_table.addRow([{v: 36}, {v: 62}]);data_table.addRow([{v: 37}, {v: 58}]);data_table.addRow([{v: 38}, {v: 55}]);data_table.addRow([{v: 39}, {v: 61}]);data_table.addRow([{v: 40}, {v: 64}]);data_table.addRow([{v: 41}, {v: 65}]);data_table.addRow([{v: 42}, {v: 63}]);data_table.addRow([{v: 43}, {v: 66}]);data_table.addRow([{v: 44}, {v: 67}]);data_table.addRow([{v: 45}, {v: 69}]);data_table.addRow([{v: 46}, {v: 69}]);data_table.addRow([{v: 47}, {v: 70}]);data_table.addRow([{v: 48}, {v: 72}]);data_table.addRow([{v: 49}, {v: 68}]);data_table.addRow([{v: 50}, {v: 66}]);data_table.addRow([{v: 51}, {v: 65}]);data_table.addRow([{v: 52}, {v: 67}]);data_table.addRow([{v: 53}, {v: 70}]);data_table.addRow([{v: 54}, {v: 71}]);data_table.addRow([{v: 55}, {v: 72}]);data_table.addRow([{v: 56}, {v: 73}]);data_table.addRow([{v: 57}, {v: 75}]);data_table.addRow([{v: 58}, {v: 70}]);data_table.addRow([{v: 59}, {v: 68}]);data_table.addRow([{v: 60}, {v: 64}]);data_table.addRow([{v: 61}, {v: 60}]);data_table.addRow([{v: 62}, {v: 65}]);data_table.addRow([{v: 63}, {v: 67}]);data_table.addRow([{v: 64}, {v: 68}]);data_table.addRow([{v: 65}, {v: 69}]);data_table.addRow([{v: 66}, {v: 70}]);data_table.addRow([{v: 67}, {v: 72}]);data_table.addRow([{v: 68}, {v: 75}]);data_table.addRow([{v: 69}, {v: 80}]);\n",
       "    var chart = new google.visualization.LineChart(document.getElementById('f2a25c63-c28c-41ac-aa99-4ee6dbf6c14b'));\n",
       "    chart.draw(data_table, {hAxis: {title: \"Time\"}, vAxis: {title: \"Popularity\"}});\n",
       "  };\n",
       "</script>\n"
      ],
      "text/plain": [
       "\"<div id='f2a25c63-c28c-41ac-aa99-4ee6dbf6c14b'></div>\\n<script>\\n\\n  google.load('visualization', '1.0', {packages: ['corechart'], callback: draw_f2a25c63_c28c_41ac_aa99_4ee6dbf6c14b});\\n  function draw_f2a25c63_c28c_41ac_aa99_4ee6dbf6c14b() {\\n    var data_table = new google.visualization.DataTable();data_table.addColumn({\\\"type\\\":\\\"number\\\",\\\"label\\\":\\\"X\\\"});data_table.addColumn({\\\"type\\\":\\\"number\\\",\\\"label\\\":\\\"Dogs\\\"});data_table.addRow([{v: 0}, {v: 0}]);data_table.addRow([{v: 1}, {v: 10}]);data_table.addRow([{v: 2}, {v: 23}]);data_table.addRow([{v: 3}, {v: 17}]);data_table.addRow([{v: 4}, {v: 18}]);data_table.addRow([{v: 5}, {v: 9}]);data_table.addRow([{v: 6}, {v: 11}]);data_table.addRow([{v: 7}, {v: 27}]);data_table.addRow([{v: 8}, {v: 33}]);data_table.addRow([{v: 9}, {v: 40}]);data_table.addRow([{v: 10}, {v: 32}]);data_table.addRow([{v: 11}, {v: 35}]);data_table.addRow([{v: 12}, {v: 30}]);data_table.addRow([{v: 13}, {v: 40}]);data_table.addRow([{v: 14}, {v: 42}]);data_table.addRow([{v: 15}, {v: 47}]);data_table.addRow([{v: 16}, {v: 44}]);data_table.addRow([{v: 17}, {v: 48}]);data_table.addRow([{v: 18}, {v: 52}]);data_table.addRow([{v: 19}, {v: 54}]);data_table.addRow([{v: 20}, {v: 42}]);data_table.addRow([{v: 21}, {v: 55}]);data_table.addRow([{v: 22}, {v: 56}]);data_table.addRow([{v: 23}, {v: 57}]);data_table.addRow([{v: 24}, {v: 60}]);data_table.addRow([{v: 25}, {v: 50}]);data_table.addRow([{v: 26}, {v: 52}]);data_table.addRow([{v: 27}, {v: 51}]);data_table.addRow([{v: 28}, {v: 49}]);data_table.addRow([{v: 29}, {v: 53}]);data_table.addRow([{v: 30}, {v: 55}]);data_table.addRow([{v: 31}, {v: 60}]);data_table.addRow([{v: 32}, {v: 61}]);data_table.addRow([{v: 33}, {v: 59}]);data_table.addRow([{v: 34}, {v: 62}]);data_table.addRow([{v: 35}, {v: 65}]);data_table.addRow([{v: 36}, {v: 62}]);data_table.addRow([{v: 37}, {v: 58}]);data_table.addRow([{v: 38}, {v: 55}]);data_table.addRow([{v: 39}, {v: 61}]);data_table.addRow([{v: 40}, {v: 64}]);data_table.addRow([{v: 41}, {v: 65}]);data_table.addRow([{v: 42}, {v: 63}]);data_table.addRow([{v: 43}, {v: 66}]);data_table.addRow([{v: 44}, {v: 67}]);data_table.addRow([{v: 45}, {v: 69}]);data_table.addRow([{v: 46}, {v: 69}]);data_table.addRow([{v: 47}, {v: 70}]);data_table.addRow([{v: 48}, {v: 72}]);data_table.addRow([{v: 49}, {v: 68}]);data_table.addRow([{v: 50}, {v: 66}]);data_table.addRow([{v: 51}, {v: 65}]);data_table.addRow([{v: 52}, {v: 67}]);data_table.addRow([{v: 53}, {v: 70}]);data_table.addRow([{v: 54}, {v: 71}]);data_table.addRow([{v: 55}, {v: 72}]);data_table.addRow([{v: 56}, {v: 73}]);data_table.addRow([{v: 57}, {v: 75}]);data_table.addRow([{v: 58}, {v: 70}]);data_table.addRow([{v: 59}, {v: 68}]);data_table.addRow([{v: 60}, {v: 64}]);data_table.addRow([{v: 61}, {v: 60}]);data_table.addRow([{v: 62}, {v: 65}]);data_table.addRow([{v: 63}, {v: 67}]);data_table.addRow([{v: 64}, {v: 68}]);data_table.addRow([{v: 65}, {v: 69}]);data_table.addRow([{v: 66}, {v: 70}]);data_table.addRow([{v: 67}, {v: 72}]);data_table.addRow([{v: 68}, {v: 75}]);data_table.addRow([{v: 69}, {v: 80}]);\\n    var chart = new google.visualization.LineChart(document.getElementById('f2a25c63-c28c-41ac-aa99-4ee6dbf6c14b'));\\n    chart.draw(data_table, {hAxis: {title: \\\"Time\\\"}, vAxis: {title: \\\"Popularity\\\"}});\\n  };\\n</script>\\n\""
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# dataframe `df_tp` column name is default (df_tp.vectors is 0, 1) . Let's update it.\n",
    "line_dv.chart.data_table.cols[0] = {type: 'number',label:  'X'}\n",
    "line_dv.chart.data_table.cols[1] = {type: 'number', label:  'Dogs'}\n",
    "line_dv.show_in_iruby"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "  <tr>\n",
       "    <th colspan='3'>Daru::DataFrame(5x2)</th>\n",
       "  </tr>\n",
       "\n",
       "  \n",
       "    <tr>\n",
       "      <th></th>\n",
       "      \n",
       "        <th>city</th>\n",
       "      \n",
       "        <th>population</th>\n",
       "      \n",
       "    </tr>\n",
       "  \n",
       "\n",
       "  \n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      \n",
       "        <td>New York City, NY</td>\n",
       "      \n",
       "        <td>8175000</td>\n",
       "      \n",
       "    </tr>\n",
       "  \n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      \n",
       "        <td>Los Angeles, CA</td>\n",
       "      \n",
       "        <td>3792000</td>\n",
       "      \n",
       "    </tr>\n",
       "  \n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      \n",
       "        <td>Chicago, IL</td>\n",
       "      \n",
       "        <td>2695000</td>\n",
       "      \n",
       "    </tr>\n",
       "  \n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      \n",
       "        <td>Houston, TX</td>\n",
       "      \n",
       "        <td>2099000</td>\n",
       "      \n",
       "    </tr>\n",
       "  \n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      \n",
       "        <td>Philadelphia, PA</td>\n",
       "      \n",
       "        <td>1526000</td>\n",
       "      \n",
       "    </tr>\n",
       "  \n",
       "\n",
       "  \n",
       "</table>"
      ],
      "text/plain": [
       "#<Daru::DataFrame(5x2)>\n",
       "                  city population\n",
       "          0 New York C    8175000\n",
       "          1 Los Angele    3792000\n",
       "          2 Chicago, I    2695000\n",
       "          3 Houston, T    2099000\n",
       "          4 Philadelph    1526000"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "city = Daru::Vector.new(['New York City, NY','Los Angeles, CA','Chicago, IL', 'Houston, TX', 'Philadelphia, PA'], name: 'city')\n",
    "population = Daru::Vector.new([ 8175000, 3792000,2695000,2099000, 1526000], name: '2010 Population')\n",
    "df_population_us_city = Daru::DataFrame.new(city: city, population: population)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "#<Daru::View::Plot:0x007fa6b4a58f40 @data=#<Daru::DataFrame(5x2)>\n",
       "                  city population\n",
       "          0 New York C    8175000\n",
       "          1 Los Angele    3792000\n",
       "          2 Chicago, I    2695000\n",
       "          3 Houston, T    2099000\n",
       "          4 Philadelph    1526000, @options={}, @adapter=Daru::View::Adapter::GooglechartsAdapter, @chart=#<GoogleVisualr::Interactive::LineChart:0x007fa6b51dc618 @data_table=#<GoogleVisualr::DataTable:0x007fa6b4a58ef0 @cols=[{:type=>\"string\", :label=>:city}, {:type=>\"number\", :label=>:population}], @rows=[[#<GoogleVisualr::DataTable::Cell:0x007fa6b51dcd98 @v=\"New York City, NY\", @type=\"string\">, #<GoogleVisualr::DataTable::Cell:0x007fa6b51dccf8 @v=8175000, @type=\"number\">], [#<GoogleVisualr::DataTable::Cell:0x007fa6b51dcc30 @v=\"Los Angeles, CA\", @type=\"string\">, #<GoogleVisualr::DataTable::Cell:0x007fa6b51dcbb8 @v=3792000, @type=\"number\">], [#<GoogleVisualr::DataTable::Cell:0x007fa6b51dcaf0 @v=\"Chicago, IL\", @type=\"string\">, #<GoogleVisualr::DataTable::Cell:0x007fa6b51dca78 @v=2695000, @type=\"number\">], [#<GoogleVisualr::DataTable::Cell:0x007fa6b51dc960 @v=\"Houston, TX\", @type=\"string\">, #<GoogleVisualr::DataTable::Cell:0x007fa6b51dc8c0 @v=2099000, @type=\"number\">], [#<GoogleVisualr::DataTable::Cell:0x007fa6b51dc7a8 @v=\"Philadelphia, PA\", @type=\"string\">, #<GoogleVisualr::DataTable::Cell:0x007fa6b51dc708 @v=1526000, @type=\"number\">]], @options={}>, @listeners=[], @version=\"1.0\", @language=nil, @material=false, @options={}>>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "line_basic = Daru::View::Plot.new(df_population_us_city)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div id='5ae41b13-b82e-469e-8a31-a08d5cf07487'></div>\n",
       "<script>\n",
       "\n",
       "  google.load('visualization', '1.0', {packages: ['corechart'], callback: draw_5ae41b13_b82e_469e_8a31_a08d5cf07487});\n",
       "  function draw_5ae41b13_b82e_469e_8a31_a08d5cf07487() {\n",
       "    var data_table = new google.visualization.DataTable();data_table.addColumn({\"type\":\"string\",\"label\":\"city\"});data_table.addColumn({\"type\":\"number\",\"label\":\"population\"});data_table.addRow([{v: \"New York City, NY\"}, {v: 8175000}]);data_table.addRow([{v: \"Los Angeles, CA\"}, {v: 3792000}]);data_table.addRow([{v: \"Chicago, IL\"}, {v: 2695000}]);data_table.addRow([{v: \"Houston, TX\"}, {v: 2099000}]);data_table.addRow([{v: \"Philadelphia, PA\"}, {v: 1526000}]);\n",
       "    var chart = new google.visualization.LineChart(document.getElementById('5ae41b13-b82e-469e-8a31-a08d5cf07487'));\n",
       "    chart.draw(data_table, {});\n",
       "  };\n",
       "</script>\n"
      ],
      "text/plain": [
       "#<GoogleVisualr::Interactive::LineChart:0x007fa6b51dc618 @data_table=#<GoogleVisualr::DataTable:0x007fa6b4a58ef0 @cols=[{:type=>\"string\", :label=>:city}, {:type=>\"number\", :label=>:population}], @rows=[[#<GoogleVisualr::DataTable::Cell:0x007fa6b51dcd98 @v=\"New York City, NY\", @type=\"string\">, #<GoogleVisualr::DataTable::Cell:0x007fa6b51dccf8 @v=8175000, @type=\"number\">], [#<GoogleVisualr::DataTable::Cell:0x007fa6b51dcc30 @v=\"Los Angeles, CA\", @type=\"string\">, #<GoogleVisualr::DataTable::Cell:0x007fa6b51dcbb8 @v=3792000, @type=\"number\">], [#<GoogleVisualr::DataTable::Cell:0x007fa6b51dcaf0 @v=\"Chicago, IL\", @type=\"string\">, #<GoogleVisualr::DataTable::Cell:0x007fa6b51dca78 @v=2695000, @type=\"number\">], [#<GoogleVisualr::DataTable::Cell:0x007fa6b51dc960 @v=\"Houston, TX\", @type=\"string\">, #<GoogleVisualr::DataTable::Cell:0x007fa6b51dc8c0 @v=2099000, @type=\"number\">], [#<GoogleVisualr::DataTable::Cell:0x007fa6b51dc7a8 @v=\"Philadelphia, PA\", @type=\"string\">, #<GoogleVisualr::DataTable::Cell:0x007fa6b51dc708 @v=1526000, @type=\"number\">]], @options={}>, @listeners=[], @version=\"1.0\", @language=nil, @material=false, @options={}>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "line_basic.chart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "#<Daru::View::Plot:0x007fa6b521e270 @data=#<Daru::DataFrame(5x2)>\n",
       "                  city population\n",
       "          0 New York C    8175000\n",
       "          1 Los Angele    3792000\n",
       "          2 Chicago, I    2695000\n",
       "          3 Houston, T    2099000\n",
       "          4 Philadelph    1526000, @options={}, @adapter=Daru::View::Adapter::GooglechartsAdapter, @chart=#<GoogleVisualr::Interactive::BarChart:0x007fa6b4a48550 @data_table=#<GoogleVisualr::DataTable:0x007fa6b521e248 @cols=[{:type=>\"string\", :label=>:city}, {:type=>\"number\", :label=>:population}], @rows=[[#<GoogleVisualr::DataTable::Cell:0x007fa6b4a49748 @v=\"New York City, NY\", @type=\"string\">, #<GoogleVisualr::DataTable::Cell:0x007fa6b4a495e0 @v=8175000, @type=\"number\">], [#<GoogleVisualr::DataTable::Cell:0x007fa6b4a493d8 @v=\"Los Angeles, CA\", @type=\"string\">, #<GoogleVisualr::DataTable::Cell:0x007fa6b4a492c0 @v=3792000, @type=\"number\">], [#<GoogleVisualr::DataTable::Cell:0x007fa6b4a48fa0 @v=\"Chicago, IL\", @type=\"string\">, #<GoogleVisualr::DataTable::Cell:0x007fa6b4a48e88 @v=2695000, @type=\"number\">], [#<GoogleVisualr::DataTable::Cell:0x007fa6b4a48c58 @v=\"Houston, TX\", @type=\"string\">, #<GoogleVisualr::DataTable::Cell:0x007fa6b4a48af0 @v=2099000, @type=\"number\">], [#<GoogleVisualr::DataTable::Cell:0x007fa6b4a488c0 @v=\"Philadelphia, PA\", @type=\"string\">, #<GoogleVisualr::DataTable::Cell:0x007fa6b4a48730 @v=1526000, @type=\"number\">]], @options={}>, @listeners=[], @version=\"1.0\", @language=nil, @material=false, @options={}>>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bar_basic = Daru::View::Plot.new(df_population_us_city, type: :bar)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div id='091be978-3f4f-4aa9-a5f2-8ad1fea9b375'></div>\n",
       "<script>\n",
       "\n",
       "  google.load('visualization', '1.0', {packages: ['corechart'], callback: draw_091be978_3f4f_4aa9_a5f2_8ad1fea9b375});\n",
       "  function draw_091be978_3f4f_4aa9_a5f2_8ad1fea9b375() {\n",
       "    var data_table = new google.visualization.DataTable();data_table.addColumn({\"type\":\"string\",\"label\":\"city\"});data_table.addColumn({\"type\":\"number\",\"label\":\"population\"});data_table.addRow([{v: \"New York City, NY\"}, {v: 8175000}]);data_table.addRow([{v: \"Los Angeles, CA\"}, {v: 3792000}]);data_table.addRow([{v: \"Chicago, IL\"}, {v: 2695000}]);data_table.addRow([{v: \"Houston, TX\"}, {v: 2099000}]);data_table.addRow([{v: \"Philadelphia, PA\"}, {v: 1526000}]);\n",
       "    var chart = new google.visualization.BarChart(document.getElementById('091be978-3f4f-4aa9-a5f2-8ad1fea9b375'));\n",
       "    chart.draw(data_table, {});\n",
       "  };\n",
       "</script>\n"
      ],
      "text/plain": [
       "\"<div id='091be978-3f4f-4aa9-a5f2-8ad1fea9b375'></div>\\n<script>\\n\\n  google.load('visualization', '1.0', {packages: ['corechart'], callback: draw_091be978_3f4f_4aa9_a5f2_8ad1fea9b375});\\n  function draw_091be978_3f4f_4aa9_a5f2_8ad1fea9b375() {\\n    var data_table = new google.visualization.DataTable();data_table.addColumn({\\\"type\\\":\\\"string\\\",\\\"label\\\":\\\"city\\\"});data_table.addColumn({\\\"type\\\":\\\"number\\\",\\\"label\\\":\\\"population\\\"});data_table.addRow([{v: \\\"New York City, NY\\\"}, {v: 8175000}]);data_table.addRow([{v: \\\"Los Angeles, CA\\\"}, {v: 3792000}]);data_table.addRow([{v: \\\"Chicago, IL\\\"}, {v: 2695000}]);data_table.addRow([{v: \\\"Houston, TX\\\"}, {v: 2099000}]);data_table.addRow([{v: \\\"Philadelphia, PA\\\"}, {v: 1526000}]);\\n    var chart = new google.visualization.BarChart(document.getElementById('091be978-3f4f-4aa9-a5f2-8ad1fea9b375'));\\n    chart.draw(data_table, {});\\n  };\\n</script>\\n\""
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bar_basic.show_in_iruby"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{:title=>\"Population of Largest U.S. Cities\", :chartArea=>{:width=>\"50%\"}, :hAxis=>{:title=>\"Total Population\", :minValue=>0}, :vAxis=>{:title=>\"City\"}}"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "options = {\n",
    "        title: 'Population of Largest U.S. Cities',\n",
    "        chartArea: {width: '50%'},\n",
    "        hAxis: {\n",
    "          title: 'Total Population',\n",
    "          minValue: 0\n",
    "        },\n",
    "        vAxis: {\n",
    "          title: 'City'\n",
    "        }\n",
    "      };"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{\"title\"=>\"Population of Largest U.S. Cities\", \"chartArea\"=>{:width=>\"50%\"}, \"hAxis\"=>{:title=>\"Total Population\", :minValue=>0}, \"vAxis\"=>{:title=>\"City\"}}"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bar_basic.chart.options= options"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div id='fc9e7d5d-83e9-4532-a41b-baf12c1017bf'></div>\n",
       "<script>\n",
       "\n",
       "  google.load('visualization', '1.0', {packages: ['corechart'], callback: draw_fc9e7d5d_83e9_4532_a41b_baf12c1017bf});\n",
       "  function draw_fc9e7d5d_83e9_4532_a41b_baf12c1017bf() {\n",
       "    var data_table = new google.visualization.DataTable();data_table.addColumn({\"type\":\"string\",\"label\":\"city\"});data_table.addColumn({\"type\":\"number\",\"label\":\"population\"});data_table.addRow([{v: \"New York City, NY\"}, {v: 8175000}]);data_table.addRow([{v: \"Los Angeles, CA\"}, {v: 3792000}]);data_table.addRow([{v: \"Chicago, IL\"}, {v: 2695000}]);data_table.addRow([{v: \"Houston, TX\"}, {v: 2099000}]);data_table.addRow([{v: \"Philadelphia, PA\"}, {v: 1526000}]);\n",
       "    var chart = new google.visualization.BarChart(document.getElementById('fc9e7d5d-83e9-4532-a41b-baf12c1017bf'));\n",
       "    chart.draw(data_table, {title: \"Population of Largest U.S. Cities\", chartArea: {width: \"50%\"}, hAxis: {title: \"Total Population\", minValue: 0}, vAxis: {title: \"City\"}});\n",
       "  };\n",
       "</script>\n"
      ],
      "text/plain": [
       "#<GoogleVisualr::Interactive::BarChart:0x007fa6b4a48550 @data_table=#<GoogleVisualr::DataTable:0x007fa6b521e248 @cols=[{:type=>\"string\", :label=>:city}, {:type=>\"number\", :label=>:population}], @rows=[[#<GoogleVisualr::DataTable::Cell:0x007fa6b4a49748 @v=\"New York City, NY\", @type=\"string\">, #<GoogleVisualr::DataTable::Cell:0x007fa6b4a495e0 @v=8175000, @type=\"number\">], [#<GoogleVisualr::DataTable::Cell:0x007fa6b4a493d8 @v=\"Los Angeles, CA\", @type=\"string\">, #<GoogleVisualr::DataTable::Cell:0x007fa6b4a492c0 @v=3792000, @type=\"number\">], [#<GoogleVisualr::DataTable::Cell:0x007fa6b4a48fa0 @v=\"Chicago, IL\", @type=\"string\">, #<GoogleVisualr::DataTable::Cell:0x007fa6b4a48e88 @v=2695000, @type=\"number\">], [#<GoogleVisualr::DataTable::Cell:0x007fa6b4a48c58 @v=\"Houston, TX\", @type=\"string\">, #<GoogleVisualr::DataTable::Cell:0x007fa6b4a48af0 @v=2099000, @type=\"number\">], [#<GoogleVisualr::DataTable::Cell:0x007fa6b4a488c0 @v=\"Philadelphia, PA\", @type=\"string\">, #<GoogleVisualr::DataTable::Cell:0x007fa6b4a48730 @v=1526000, @type=\"number\">]], @options={}>, @listeners=[], @version=\"1.0\", @language=nil, @material=false, @options={\"title\"=>\"Population of Largest U.S. Cities\", \"chartArea\"=>{:width=>\"50%\"}, \"hAxis\"=>{:title=>\"Total Population\", :minValue=>0}, \"vAxis\"=>{:title=>\"City\"}}>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bar_basic.chart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bar_basic.chart.options[:pageSize] = 3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div id='2fa02713-b871-4d83-85bb-f25486b8bebb'></div>\n",
       "<script>\n",
       "\n",
       "  google.load('visualization', '1.0', {packages: ['corechart'], callback: draw_2fa02713_b871_4d83_85bb_f25486b8bebb});\n",
       "  function draw_2fa02713_b871_4d83_85bb_f25486b8bebb() {\n",
       "    var data_table = new google.visualization.DataTable();data_table.addColumn({\"type\":\"string\",\"label\":\"city\"});data_table.addColumn({\"type\":\"number\",\"label\":\"population\"});data_table.addRow([{v: \"New York City, NY\"}, {v: 8175000}]);data_table.addRow([{v: \"Los Angeles, CA\"}, {v: 3792000}]);data_table.addRow([{v: \"Chicago, IL\"}, {v: 2695000}]);data_table.addRow([{v: \"Houston, TX\"}, {v: 2099000}]);data_table.addRow([{v: \"Philadelphia, PA\"}, {v: 1526000}]);\n",
       "    var chart = new google.visualization.BarChart(document.getElementById('2fa02713-b871-4d83-85bb-f25486b8bebb'));\n",
       "    chart.draw(data_table, {title: \"Population of Largest U.S. Cities\", chartArea: {width: \"50%\"}, hAxis: {title: \"Total Population\", minValue: 0}, vAxis: {title: \"City\"}, pageSize: 3});\n",
       "  };\n",
       "</script>\n"
      ],
      "text/plain": [
       "\"<div id='2fa02713-b871-4d83-85bb-f25486b8bebb'></div>\\n<script>\\n\\n  google.load('visualization', '1.0', {packages: ['corechart'], callback: draw_2fa02713_b871_4d83_85bb_f25486b8bebb});\\n  function draw_2fa02713_b871_4d83_85bb_f25486b8bebb() {\\n    var data_table = new google.visualization.DataTable();data_table.addColumn({\\\"type\\\":\\\"string\\\",\\\"label\\\":\\\"city\\\"});data_table.addColumn({\\\"type\\\":\\\"number\\\",\\\"label\\\":\\\"population\\\"});data_table.addRow([{v: \\\"New York City, NY\\\"}, {v: 8175000}]);data_table.addRow([{v: \\\"Los Angeles, CA\\\"}, {v: 3792000}]);data_table.addRow([{v: \\\"Chicago, IL\\\"}, {v: 2695000}]);data_table.addRow([{v: \\\"Houston, TX\\\"}, {v: 2099000}]);data_table.addRow([{v: \\\"Philadelphia, PA\\\"}, {v: 1526000}]);\\n    var chart = new google.visualization.BarChart(document.getElementById('2fa02713-b871-4d83-85bb-f25486b8bebb'));\\n    chart.draw(data_table, {title: \\\"Population of Largest U.S. Cities\\\", chartArea: {width: \\\"50%\\\"}, hAxis: {title: \\\"Total Population\\\", minValue: 0}, vAxis: {title: \\\"City\\\"}, pageSize: 3});\\n  };\\n</script>\\n\""
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bar_basic.show_in_iruby # or bar_basic.chart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{\"title\"=>\"Population of Largest U.S. Cities\", \"chartArea\"=>{:width=>\"50%\"}, \"hAxis\"=>{:title=>\"Total Population\", :minValue=>0}, \"vAxis\"=>{:title=>\"City\"}, :pageSize=>3}"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bar_basic.chart.options"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "  <tr>\n",
       "    <th colspan='3'>Daru::DataFrame(22x2)</th>\n",
       "  </tr>\n",
       "\n",
       "  \n",
       "    <tr>\n",
       "      <th></th>\n",
       "      \n",
       "        <th>lang</th>\n",
       "      \n",
       "        <th>speakers</th>\n",
       "      \n",
       "    </tr>\n",
       "  \n",
       "\n",
       "  \n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      \n",
       "        <td>Assamese</td>\n",
       "      \n",
       "        <td>13</td>\n",
       "      \n",
       "    </tr>\n",
       "  \n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      \n",
       "        <td>Bengali</td>\n",
       "      \n",
       "        <td>83</td>\n",
       "      \n",
       "    </tr>\n",
       "  \n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      \n",
       "        <td>Bodo</td>\n",
       "      \n",
       "        <td>1.4</td>\n",
       "      \n",
       "    </tr>\n",
       "  \n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      \n",
       "        <td>Dogri</td>\n",
       "      \n",
       "        <td>2.3</td>\n",
       "      \n",
       "    </tr>\n",
       "  \n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      \n",
       "        <td>Gujarati</td>\n",
       "      \n",
       "        <td>46</td>\n",
       "      \n",
       "    </tr>\n",
       "  \n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      \n",
       "        <td>Hindi</td>\n",
       "      \n",
       "        <td>300</td>\n",
       "      \n",
       "    </tr>\n",
       "  \n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      \n",
       "        <td>Kannada</td>\n",
       "      \n",
       "        <td>38</td>\n",
       "      \n",
       "    </tr>\n",
       "  \n",
       "    <tr>\n",
       "      <td>7</td>\n",
       "      \n",
       "        <td>Kashmiri</td>\n",
       "      \n",
       "        <td>5.5</td>\n",
       "      \n",
       "    </tr>\n",
       "  \n",
       "    <tr>\n",
       "      <td>8</td>\n",
       "      \n",
       "        <td>Konkani</td>\n",
       "      \n",
       "        <td>5</td>\n",
       "      \n",
       "    </tr>\n",
       "  \n",
       "    <tr>\n",
       "      <td>9</td>\n",
       "      \n",
       "        <td>Maithili</td>\n",
       "      \n",
       "        <td>20</td>\n",
       "      \n",
       "    </tr>\n",
       "  \n",
       "    <tr>\n",
       "      <td>10</td>\n",
       "      \n",
       "        <td>Malayalam</td>\n",
       "      \n",
       "        <td>33</td>\n",
       "      \n",
       "    </tr>\n",
       "  \n",
       "    <tr>\n",
       "      <td>11</td>\n",
       "      \n",
       "        <td>Manipuri</td>\n",
       "      \n",
       "        <td>1.5</td>\n",
       "      \n",
       "    </tr>\n",
       "  \n",
       "    <tr>\n",
       "      <td>12</td>\n",
       "      \n",
       "        <td>Marathi</td>\n",
       "      \n",
       "        <td>72</td>\n",
       "      \n",
       "    </tr>\n",
       "  \n",
       "    <tr>\n",
       "      <td>13</td>\n",
       "      \n",
       "        <td>Nepali</td>\n",
       "      \n",
       "        <td>2.9</td>\n",
       "      \n",
       "    </tr>\n",
       "  \n",
       "    <tr>\n",
       "      <td>14</td>\n",
       "      \n",
       "        <td>Oriya</td>\n",
       "      \n",
       "        <td>33</td>\n",
       "      \n",
       "    </tr>\n",
       "  \n",
       "    <tr>\n",
       "      <td>15</td>\n",
       "      \n",
       "        <td>Punjabi</td>\n",
       "      \n",
       "        <td>29</td>\n",
       "      \n",
       "    </tr>\n",
       "  \n",
       "    <tr>\n",
       "      <td>16</td>\n",
       "      \n",
       "        <td>Sanskrit</td>\n",
       "      \n",
       "        <td>0.01</td>\n",
       "      \n",
       "    </tr>\n",
       "  \n",
       "    <tr>\n",
       "      <td>17</td>\n",
       "      \n",
       "        <td>Santhali</td>\n",
       "      \n",
       "        <td>6.5</td>\n",
       "      \n",
       "    </tr>\n",
       "  \n",
       "    <tr>\n",
       "      <td>18</td>\n",
       "      \n",
       "        <td>Sindhi</td>\n",
       "      \n",
       "        <td>2.5</td>\n",
       "      \n",
       "    </tr>\n",
       "  \n",
       "    <tr>\n",
       "      <td>19</td>\n",
       "      \n",
       "        <td>Tamil</td>\n",
       "      \n",
       "        <td>61</td>\n",
       "      \n",
       "    </tr>\n",
       "  \n",
       "    <tr>\n",
       "      <td>20</td>\n",
       "      \n",
       "        <td>Telugu</td>\n",
       "      \n",
       "        <td>74</td>\n",
       "      \n",
       "    </tr>\n",
       "  \n",
       "    <tr>\n",
       "      <td>21</td>\n",
       "      \n",
       "        <td>Urdu</td>\n",
       "      \n",
       "        <td>52</td>\n",
       "      \n",
       "    </tr>\n",
       "  \n",
       "\n",
       "  \n",
       "</table>"
      ],
      "text/plain": [
       "#<Daru::DataFrame(22x2)>\n",
       "                lang  speakers\n",
       "         0  Assamese        13\n",
       "         1   Bengali        83\n",
       "         2      Bodo       1.4\n",
       "         3     Dogri       2.3\n",
       "         4  Gujarati        46\n",
       "         5     Hindi       300\n",
       "         6   Kannada        38\n",
       "         7  Kashmiri       5.5\n",
       "         8   Konkani         5\n",
       "         9  Maithili        20\n",
       "        10 Malayalam        33\n",
       "        11  Manipuri       1.5\n",
       "        12   Marathi        72\n",
       "        13    Nepali       2.9\n",
       "        14     Oriya        33\n",
       "       ...       ...       ..."
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lang = Daru::Vector.new(['Assamese', 'Bengali','Bodo','Dogri', 'Gujarati', 'Hindi','Kannada', 'Kashmiri', 'Konkani','Maithili', 'Malayalam', 'Manipuri','Marathi', 'Nepali', 'Oriya','Punjabi', 'Sanskrit', 'Santhali', 'Sindhi', 'Tamil', 'Telugu','Urdu'] , name: 'Language')\n",
    "speakers = Daru::Vector.new([13, 83, 1.4, 2.3, 46, 300, 38, 5.5, 5, 20, 33, 1.5, 72, 2.9,33,29, 0.01, 6.5,2.5, 61, 74, 52] , name: 'Speakers (in millions)')\n",
    "df_lang = Daru::DataFrame.new(lang: lang, speakers: speakers)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div id='28d226ef-f7e9-4da1-ab86-28a645d4c4c9'></div>\n",
       "<script>\n",
       "\n",
       "  google.load('visualization', 1.0, \n",
       " {packages: ['table'], callback:\n",
       " draw_28d226ef_f7e9_4da1_ab86_28a645d4c4c9});\n",
       "  function draw_28d226ef_f7e9_4da1_ab86_28a645d4c4c9() {\n",
       "    var data_table = new google.visualization.DataTable();data_table.addColumn({\"type\":\"string\",\"label\":\"lang\"});data_table.addColumn({\"type\":\"number\",\"label\":\"speakers\"});data_table.addRow([{v: \"Assamese\"}, {v: 13}]);data_table.addRow([{v: \"Bengali\"}, {v: 83}]);data_table.addRow([{v: \"Bodo\"}, {v: 1.4}]);data_table.addRow([{v: \"Dogri\"}, {v: 2.3}]);data_table.addRow([{v: \"Gujarati\"}, {v: 46}]);data_table.addRow([{v: \"Hindi\"}, {v: 300}]);data_table.addRow([{v: \"Kannada\"}, {v: 38}]);data_table.addRow([{v: \"Kashmiri\"}, {v: 5.5}]);data_table.addRow([{v: \"Konkani\"}, {v: 5}]);data_table.addRow([{v: \"Maithili\"}, {v: 20}]);data_table.addRow([{v: \"Malayalam\"}, {v: 33}]);data_table.addRow([{v: \"Manipuri\"}, {v: 1.5}]);data_table.addRow([{v: \"Marathi\"}, {v: 72}]);data_table.addRow([{v: \"Nepali\"}, {v: 2.9}]);data_table.addRow([{v: \"Oriya\"}, {v: 33}]);data_table.addRow([{v: \"Punjabi\"}, {v: 29}]);data_table.addRow([{v: \"Sanskrit\"}, {v: 0.01}]);data_table.addRow([{v: \"Santhali\"}, {v: 6.5}]);data_table.addRow([{v: \"Sindhi\"}, {v: 2.5}]);data_table.addRow([{v: \"Tamil\"}, {v: 61}]);data_table.addRow([{v: \"Telugu\"}, {v: 74}]);data_table.addRow([{v: \"Urdu\"}, {v: 52}]);\n",
       "    var table = new google.visualization.Table(\n",
       "    document.getElementById('28d226ef-f7e9-4da1-ab86-28a645d4c4c9'));\n",
       "    table.draw(data_table, {pageSize: 5}); \n",
       "  };\n",
       "</script>\n"
      ],
      "text/plain": [
       "\"<div id='28d226ef-f7e9-4da1-ab86-28a645d4c4c9'></div>\\n<script>\\n\\n  google.load('visualization', 1.0, \\n {packages: ['table'], callback:\\n draw_28d226ef_f7e9_4da1_ab86_28a645d4c4c9});\\n  function draw_28d226ef_f7e9_4da1_ab86_28a645d4c4c9() {\\n    var data_table = new google.visualization.DataTable();data_table.addColumn({\\\"type\\\":\\\"string\\\",\\\"label\\\":\\\"lang\\\"});data_table.addColumn({\\\"type\\\":\\\"number\\\",\\\"label\\\":\\\"speakers\\\"});data_table.addRow([{v: \\\"Assamese\\\"}, {v: 13}]);data_table.addRow([{v: \\\"Bengali\\\"}, {v: 83}]);data_table.addRow([{v: \\\"Bodo\\\"}, {v: 1.4}]);data_table.addRow([{v: \\\"Dogri\\\"}, {v: 2.3}]);data_table.addRow([{v: \\\"Gujarati\\\"}, {v: 46}]);data_table.addRow([{v: \\\"Hindi\\\"}, {v: 300}]);data_table.addRow([{v: \\\"Kannada\\\"}, {v: 38}]);data_table.addRow([{v: \\\"Kashmiri\\\"}, {v: 5.5}]);data_table.addRow([{v: \\\"Konkani\\\"}, {v: 5}]);data_table.addRow([{v: \\\"Maithili\\\"}, {v: 20}]);data_table.addRow([{v: \\\"Malayalam\\\"}, {v: 33}]);data_table.addRow([{v: \\\"Manipuri\\\"}, {v: 1.5}]);data_table.addRow([{v: \\\"Marathi\\\"}, {v: 72}]);data_table.addRow([{v: \\\"Nepali\\\"}, {v: 2.9}]);data_table.addRow([{v: \\\"Oriya\\\"}, {v: 33}]);data_table.addRow([{v: \\\"Punjabi\\\"}, {v: 29}]);data_table.addRow([{v: \\\"Sanskrit\\\"}, {v: 0.01}]);data_table.addRow([{v: \\\"Santhali\\\"}, {v: 6.5}]);data_table.addRow([{v: \\\"Sindhi\\\"}, {v: 2.5}]);data_table.addRow([{v: \\\"Tamil\\\"}, {v: 61}]);data_table.addRow([{v: \\\"Telugu\\\"}, {v: 74}]);data_table.addRow([{v: \\\"Urdu\\\"}, {v: 52}]);\\n    var table = new google.visualization.Table(\\n    document.getElementById('28d226ef-f7e9-4da1-ab86-28a645d4c4c9'));\\n    table.draw(data_table, {pageSize: 5}); \\n  };\\n</script>\\n\""
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t_lang = Daru::View::Table.new(df_lang, {pageSize: 5})\n",
    "t_lang.show_in_iruby"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div id='9de13ba2-786e-40f9-b71d-803276ec91a1'></div>\n",
       "<script>\n",
       "\n",
       "  google.load('visualization', '1.0', {packages: ['corechart'], callback: draw_9de13ba2_786e_40f9_b71d_803276ec91a1});\n",
       "  function draw_9de13ba2_786e_40f9_b71d_803276ec91a1() {\n",
       "    var data_table = new google.visualization.DataTable();data_table.addColumn({\"type\":\"string\",\"label\":\"lang\"});data_table.addColumn({\"type\":\"number\",\"label\":\"speakers\"});data_table.addRow([{v: \"Assamese\"}, {v: 13}]);data_table.addRow([{v: \"Bengali\"}, {v: 83}]);data_table.addRow([{v: \"Bodo\"}, {v: 1.4}]);data_table.addRow([{v: \"Dogri\"}, {v: 2.3}]);data_table.addRow([{v: \"Gujarati\"}, {v: 46}]);data_table.addRow([{v: \"Hindi\"}, {v: 300}]);data_table.addRow([{v: \"Kannada\"}, {v: 38}]);data_table.addRow([{v: \"Kashmiri\"}, {v: 5.5}]);data_table.addRow([{v: \"Konkani\"}, {v: 5}]);data_table.addRow([{v: \"Maithili\"}, {v: 20}]);data_table.addRow([{v: \"Malayalam\"}, {v: 33}]);data_table.addRow([{v: \"Manipuri\"}, {v: 1.5}]);data_table.addRow([{v: \"Marathi\"}, {v: 72}]);data_table.addRow([{v: \"Nepali\"}, {v: 2.9}]);data_table.addRow([{v: \"Oriya\"}, {v: 33}]);data_table.addRow([{v: \"Punjabi\"}, {v: 29}]);data_table.addRow([{v: \"Sanskrit\"}, {v: 0.01}]);data_table.addRow([{v: \"Santhali\"}, {v: 6.5}]);data_table.addRow([{v: \"Sindhi\"}, {v: 2.5}]);data_table.addRow([{v: \"Tamil\"}, {v: 61}]);data_table.addRow([{v: \"Telugu\"}, {v: 74}]);data_table.addRow([{v: \"Urdu\"}, {v: 52}]);\n",
       "    var chart = new google.visualization.PieChart(document.getElementById('9de13ba2-786e-40f9-b71d-803276ec91a1'));\n",
       "    chart.draw(data_table, {title: \"Indian Language Use\", width: 800, height: 700});\n",
       "  };\n",
       "</script>\n"
      ],
      "text/plain": [
       "\"<div id='9de13ba2-786e-40f9-b71d-803276ec91a1'></div>\\n<script>\\n\\n  google.load('visualization', '1.0', {packages: ['corechart'], callback: draw_9de13ba2_786e_40f9_b71d_803276ec91a1});\\n  function draw_9de13ba2_786e_40f9_b71d_803276ec91a1() {\\n    var data_table = new google.visualization.DataTable();data_table.addColumn({\\\"type\\\":\\\"string\\\",\\\"label\\\":\\\"lang\\\"});data_table.addColumn({\\\"type\\\":\\\"number\\\",\\\"label\\\":\\\"speakers\\\"});data_table.addRow([{v: \\\"Assamese\\\"}, {v: 13}]);data_table.addRow([{v: \\\"Bengali\\\"}, {v: 83}]);data_table.addRow([{v: \\\"Bodo\\\"}, {v: 1.4}]);data_table.addRow([{v: \\\"Dogri\\\"}, {v: 2.3}]);data_table.addRow([{v: \\\"Gujarati\\\"}, {v: 46}]);data_table.addRow([{v: \\\"Hindi\\\"}, {v: 300}]);data_table.addRow([{v: \\\"Kannada\\\"}, {v: 38}]);data_table.addRow([{v: \\\"Kashmiri\\\"}, {v: 5.5}]);data_table.addRow([{v: \\\"Konkani\\\"}, {v: 5}]);data_table.addRow([{v: \\\"Maithili\\\"}, {v: 20}]);data_table.addRow([{v: \\\"Malayalam\\\"}, {v: 33}]);data_table.addRow([{v: \\\"Manipuri\\\"}, {v: 1.5}]);data_table.addRow([{v: \\\"Marathi\\\"}, {v: 72}]);data_table.addRow([{v: \\\"Nepali\\\"}, {v: 2.9}]);data_table.addRow([{v: \\\"Oriya\\\"}, {v: 33}]);data_table.addRow([{v: \\\"Punjabi\\\"}, {v: 29}]);data_table.addRow([{v: \\\"Sanskrit\\\"}, {v: 0.01}]);data_table.addRow([{v: \\\"Santhali\\\"}, {v: 6.5}]);data_table.addRow([{v: \\\"Sindhi\\\"}, {v: 2.5}]);data_table.addRow([{v: \\\"Tamil\\\"}, {v: 61}]);data_table.addRow([{v: \\\"Telugu\\\"}, {v: 74}]);data_table.addRow([{v: \\\"Urdu\\\"}, {v: 52}]);\\n    var chart = new google.visualization.PieChart(document.getElementById('9de13ba2-786e-40f9-b71d-803276ec91a1'));\\n    chart.draw(data_table, {title: \\\"Indian Language Use\\\", width: 800, height: 700});\\n  };\\n</script>\\n\""
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pie_lang = Daru::View::Plot.new(t_lang.table, {type: :pie,  title: 'Indian Language Use', width: 800, height: 700})\n",
    "pie_lang.show_in_iruby"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "true"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# add/update new options\n",
    "# there are a lot of options and configuration we can do in google pie charts\n",
    "# refere : https://developers.google.com/chart/interactive/docs/gallery/piechart\n",
    "pie_lang.chart.options[:is3D] = true"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div id='2f0863aa-c64f-4ca4-9187-e12367a7a479'></div>\n",
       "<script>\n",
       "\n",
       "  google.load('visualization', '1.0', {packages: ['corechart'], callback: draw_2f0863aa_c64f_4ca4_9187_e12367a7a479});\n",
       "  function draw_2f0863aa_c64f_4ca4_9187_e12367a7a479() {\n",
       "    var data_table = new google.visualization.DataTable();data_table.addColumn({\"type\":\"string\",\"label\":\"lang\"});data_table.addColumn({\"type\":\"number\",\"label\":\"speakers\"});data_table.addRow([{v: \"Assamese\"}, {v: 13}]);data_table.addRow([{v: \"Bengali\"}, {v: 83}]);data_table.addRow([{v: \"Bodo\"}, {v: 1.4}]);data_table.addRow([{v: \"Dogri\"}, {v: 2.3}]);data_table.addRow([{v: \"Gujarati\"}, {v: 46}]);data_table.addRow([{v: \"Hindi\"}, {v: 300}]);data_table.addRow([{v: \"Kannada\"}, {v: 38}]);data_table.addRow([{v: \"Kashmiri\"}, {v: 5.5}]);data_table.addRow([{v: \"Konkani\"}, {v: 5}]);data_table.addRow([{v: \"Maithili\"}, {v: 20}]);data_table.addRow([{v: \"Malayalam\"}, {v: 33}]);data_table.addRow([{v: \"Manipuri\"}, {v: 1.5}]);data_table.addRow([{v: \"Marathi\"}, {v: 72}]);data_table.addRow([{v: \"Nepali\"}, {v: 2.9}]);data_table.addRow([{v: \"Oriya\"}, {v: 33}]);data_table.addRow([{v: \"Punjabi\"}, {v: 29}]);data_table.addRow([{v: \"Sanskrit\"}, {v: 0.01}]);data_table.addRow([{v: \"Santhali\"}, {v: 6.5}]);data_table.addRow([{v: \"Sindhi\"}, {v: 2.5}]);data_table.addRow([{v: \"Tamil\"}, {v: 61}]);data_table.addRow([{v: \"Telugu\"}, {v: 74}]);data_table.addRow([{v: \"Urdu\"}, {v: 52}]);\n",
       "    var chart = new google.visualization.PieChart(document.getElementById('2f0863aa-c64f-4ca4-9187-e12367a7a479'));\n",
       "    chart.draw(data_table, {title: \"Indian Language Use\", width: 800, height: 700, is3D: true});\n",
       "  };\n",
       "</script>\n"
      ],
      "text/plain": [
       "\"<div id='2f0863aa-c64f-4ca4-9187-e12367a7a479'></div>\\n<script>\\n\\n  google.load('visualization', '1.0', {packages: ['corechart'], callback: draw_2f0863aa_c64f_4ca4_9187_e12367a7a479});\\n  function draw_2f0863aa_c64f_4ca4_9187_e12367a7a479() {\\n    var data_table = new google.visualization.DataTable();data_table.addColumn({\\\"type\\\":\\\"string\\\",\\\"label\\\":\\\"lang\\\"});data_table.addColumn({\\\"type\\\":\\\"number\\\",\\\"label\\\":\\\"speakers\\\"});data_table.addRow([{v: \\\"Assamese\\\"}, {v: 13}]);data_table.addRow([{v: \\\"Bengali\\\"}, {v: 83}]);data_table.addRow([{v: \\\"Bodo\\\"}, {v: 1.4}]);data_table.addRow([{v: \\\"Dogri\\\"}, {v: 2.3}]);data_table.addRow([{v: \\\"Gujarati\\\"}, {v: 46}]);data_table.addRow([{v: \\\"Hindi\\\"}, {v: 300}]);data_table.addRow([{v: \\\"Kannada\\\"}, {v: 38}]);data_table.addRow([{v: \\\"Kashmiri\\\"}, {v: 5.5}]);data_table.addRow([{v: \\\"Konkani\\\"}, {v: 5}]);data_table.addRow([{v: \\\"Maithili\\\"}, {v: 20}]);data_table.addRow([{v: \\\"Malayalam\\\"}, {v: 33}]);data_table.addRow([{v: \\\"Manipuri\\\"}, {v: 1.5}]);data_table.addRow([{v: \\\"Marathi\\\"}, {v: 72}]);data_table.addRow([{v: \\\"Nepali\\\"}, {v: 2.9}]);data_table.addRow([{v: \\\"Oriya\\\"}, {v: 33}]);data_table.addRow([{v: \\\"Punjabi\\\"}, {v: 29}]);data_table.addRow([{v: \\\"Sanskrit\\\"}, {v: 0.01}]);data_table.addRow([{v: \\\"Santhali\\\"}, {v: 6.5}]);data_table.addRow([{v: \\\"Sindhi\\\"}, {v: 2.5}]);data_table.addRow([{v: \\\"Tamil\\\"}, {v: 61}]);data_table.addRow([{v: \\\"Telugu\\\"}, {v: 74}]);data_table.addRow([{v: \\\"Urdu\\\"}, {v: 52}]);\\n    var chart = new google.visualization.PieChart(document.getElementById('2f0863aa-c64f-4ca4-9187-e12367a7a479'));\\n    chart.draw(data_table, {title: \\\"Indian Language Use\\\", width: 800, height: 700, is3D: true});\\n  };\\n</script>\\n\""
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pie_lang.show_in_iruby"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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