Differences

This shows you the differences between two versions of the page.

--- projects:d3jsorg [2014/10/16 20:54] – rlunaro
+++ projects:d3jsorg [2016/05/22 12:55] (current) – removed rlunaro
@@ Line 1: / Line 1: @@
-====== Tests in d3.js ======
-Recently I've discovered [[http://d3js.org|d3js.org]], a javascript application to make [[https://github.com/mbostock/d3/wiki/Gallery|awesome charts]].
-This page is only for registering my improvements in the use of this tool to make my own charts.
-I create a report for my work that could be suitable for this type of charts. This report generate some calification per branch, office, headquarter.... In the broad selection of charts I've detected some of them that could suit my needs:
-  * [[http://bl.ocks.org/mbostock/4060606|Cloropleth]]
-  * [[http://bl.ocks.org/mbostock/2206590|Click-to-zoom]]
-  * [[http://redotheweb.com/CodeFlower/|Codeflower]]
-  * [[http://ssz.fr/parite/|Parité]]
-  * [[https://vida.io/documents/s5qo5Gwrct5HNxAD2|Geographical map with bars]]
-  * [[http://bl.ocks.org/NPashaP/a74faf20b492ad377312|Geographical map and data]]
-I will explore the last one (Geographical map and data) and I will try to make my own, based on Spain rather than in usa.
-===== Geographical map and data =====
-I've downloaded the source file (which is pretty simple) and the file ''uStates.js'', who is a bit more complex. Here is an example:
-<code javascript>
-(function(){
-	var uStatePaths=[
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-{id:"AK",n:"Alaska",d:"M158.07671,453.67502L157.75339,539.03215L159.36999,540.00211L162.44156,540.16377L163.8965,539.03215L166.48308,539.03215L166.64475,541.94205L173.59618,548.73182L174.08117,551.3184L177.47605,549.37846L178.1227,549.2168L178.44602,546.14524L179.90096,544.52863L181.0326,544.36697L182.97253,542.91201L186.04409,545.01361L186.69074,547.92352L188.63067,549.05514L189.7623,551.48006L193.64218,553.25833L197.03706,559.2398L199.78529,563.11966L202.04855,565.86791L203.50351,569.58611L208.515,571.36439L213.68817,573.46598L214.65813,577.83084L215.14311,580.9024L214.17315,584.29729L212.39487,586.56054L210.77826,585.75224L209.32331,582.68067L206.57507,581.22573L204.7968,580.09409L203.98849,580.9024L205.44344,583.65065L205.6051,587.36885L204.47347,587.85383L202.53354,585.9139L200.43195,584.62061L200.91693,586.23722L202.21021,588.0155L201.40191,588.8238C201.40191,588.8238,200.59361,588.50048,200.10863,587.85383C199.62363,587.20719,198.00703,584.45895,198.00703,584.45895L197.03706,582.19569C197.03706,582.19569,196.71374,583.48898,196.06709,583.16565C195.42044,582.84233,194.7738,581.71071,194.7738,581.71071L196.55207,579.77077L195.09712,578.31582L195.09712,573.30432L194.28882,573.30432L193.48052,576.6992L192.34888,577.1842L191.37892,573.46598L190.73227,569.74777L189.92396,569.26279L190.24729,574.92094L190.24729,576.05256L188.79233,574.75928L185.23579,568.77781L183.13419,568.29283L182.48755,564.57462L180.87094,561.66472L179.25432,560.53308L179.25432,558.26983L181.35592,556.97654L180.87094,556.65322L178.28436,557.29986L174.88947,554.87495L172.30289,551.96504L167.45306,549.37846L163.41152,546.79188L164.70482,543.55866L164.70482,541.94205L162.92654,543.55866L160.01664,544.69029L156.29843,543.55866L150.64028,541.13375L145.14381,541.13375L144.49717,541.61873L138.03072,537.73885L135.92912,537.41553L133.18088,531.59573L129.62433,531.91905L126.06778,533.374L126.55277,537.90052L127.68439,534.99062L128.65437,535.31394L127.19941,539.67879L130.43263,536.93055L131.07928,538.54716L127.19941,542.91201L125.90612,542.58869L125.42114,540.64875L124.12785,539.84045L122.83456,540.97208L120.08632,539.19381L117.01475,541.29541L115.23649,543.397L111.8416,545.4986L107.15342,545.33693L106.66844,543.23534L110.38664,542.58869L110.38664,541.29541L108.12338,540.64875L109.09336,538.22384L111.35661,534.34397L111.35661,532.5657L111.51827,531.75739L115.88313,529.49413L116.85309,530.78742L119.60134,530.78742L118.30805,528.20085L114.58983,527.87752L109.57834,530.62576L107.15342,534.02064L105.37515,536.60723L104.24352,538.87049L100.04033,540.32543L96.96876,542.91201L96.645439,544.52863L98.908696,545.4986L99.717009,547.60018L96.96876,550.83341L90.502321,555.03661L82.742574,559.2398L80.640977,560.37142L75.306159,561.50306L69.971333,563.76631L71.749608,565.0596L70.294654,566.51455L69.809672,567.64618L67.061434,566.67621L63.828214,566.83787L63.019902,569.10113L62.049939,569.10113L62.37326,566.67621L58.816709,567.96951L55.90681,568.93947L52.511924,567.64618L49.602023,569.58611L46.368799,569.58611L44.267202,570.87941L42.65059,571.68771L40.548995,571.36439L37.962415,570.23276L35.699158,570.87941L34.729191,571.84937L33.112578,570.71775L33.112578,568.77781L36.184142,567.48452L42.488929,568.13117L46.853782,566.51455L48.955378,564.41296L51.86528,563.76631L53.643553,562.958L56.391794,563.11966L58.008406,564.41296L58.978369,564.08964L61.241626,561.3414L64.313196,560.37142L67.708076,559.72478L69.00137,559.40146L69.648012,559.88644L70.456324,559.88644L71.749608,556.16823L75.791141,554.71329L77.731077,550.99508L79.994336,546.46856L81.610951,545.01361L81.934272,542.42703L80.317657,543.72032L76.922764,544.36697L76.276122,541.94205L74.982838,541.61873L74.012865,542.58869L73.851205,545.4986L72.39625,545.33693L70.941306,539.51713L69.648012,540.81041L68.516388,540.32543L68.193068,538.3855L64.151535,538.54716L62.049939,539.67879L59.463361,539.35547L60.918305,537.90052L61.403286,535.31394L60.756645,533.374L62.211599,532.40404L63.504883,532.24238L62.858241,530.4641L62.858241,526.09925L61.888278,525.12928L61.079966,526.58423L54.936843,526.58423L53.481892,525.29094L52.835247,521.41108L50.733651,517.85452L50.733651,516.88456L52.835247,516.07625L52.996908,513.97465L54.128536,512.84303L53.320231,512.35805L52.026941,512.84303L50.895313,510.09479L51.86528,505.08328L56.391794,501.85007L58.978369,500.23345L60.918305,496.51525L63.666554,495.22195L66.253132,496.35359L66.576453,498.77851L69.00137,498.45517L72.23459,496.03026L73.851205,496.67691L74.821167,497.32355L76.437782,497.32355L78.701041,496.03026L79.509354,491.6654C79.509354,491.6654,79.832675,488.75551,80.479317,488.27052C81.125959,487.78554,81.44928,487.30056,81.44928,487.30056L80.317657,485.36062L77.731077,486.16893L74.497847,486.97723L72.557911,486.49225L69.00137,484.71397L63.989875,484.55231L60.433324,480.83411L60.918305,476.95424L61.564957,474.52932L59.463361,472.75105L57.523423,469.03283L58.008406,468.22453L64.798177,467.73955L66.899773,467.73955L67.869736,468.70951L68.516388,468.70951L68.354728,467.0929L72.23459,46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-{id:"FL",n:"Florida",d:"M759.8167,439.1428L762.08236,446.4614L765.81206,456.20366L771.14685,465.57996L774.86504,471.88472L779.71486,477.38118L783.75637,481.09937L785.37297,484.00926L784.24135,485.30254L783.43305,486.59582L786.34293,494.03221L789.25282,496.94209L791.83939,502.27689L795.39592,508.09667L799.92241,516.34135L801.2157,523.93939L801.70068,535.90227L802.34732,537.68053L802.024,541.0754L799.59909,542.36869L799.92241,544.30861L799.27577,546.24854L799.59909,548.67344L800.08407,550.61337L797.33585,553.84658L794.2643,555.30152L790.38445,555.46318L788.9295,557.07979L786.5046,558.04975L785.21131,557.56477L784.07969,556.59481L783.75637,553.68492L782.94806,550.29005L779.55319,545.11691L775.99666,542.85367L772.11681,542.53035L771.30851,543.82363L768.23696,539.4588L767.59032,535.90227L765.00375,531.86076L763.22549,530.72913L761.60888,532.83072L759.83062,532.5074L757.72903,527.49592L754.81914,523.61607L751.90925,518.28128L749.32269,515.20973L745.76616,511.49154L747.86774,509.06663L751.10095,503.57017L750.93929,501.95357L746.4128,500.98361L744.79619,501.63025L745.11952,502.27689L747.70608,503.24685L746.25114,507.77335L745.44284,508.25833L743.66457,504.21682L742.37129,499.367L742.04797,496.61877L743.50291,491.93062L743.50291,482.39265L740.43136,478.67446L739.13808,475.60291L733.96494,474.30963L732.02502,473.66299L730.40841,471.07642L727.01354,469.45981L725.88192,466.06494L723.13369,465.09498L720.70878,461.37679L716.50561,459.92185L713.59572,458.4669L711.00916,458.4669L706.96764,459.27521L706.80598,461.21513L707.61429,462.18509L707.1293,463.31672L704.05776,463.15506L700.33957,466.71159L696.78303,468.65151L692.90318,468.65151L689.66997,469.9448L689.34665,467.19657L687.73005,465.25664L684.82016,464.12502L683.20356,462.67007L675.12053,458.79022L667.52249,457.01196L663.15766,457.6586L657.17622,458.14358L651.19478,460.24517L647.71554,460.85813L647.47762,452.80838L644.89105,450.86846L643.11278,449.09019L643.4361,446.01863L653.62072,444.72535L679.16312,441.81546L685.95287,441.16882L691.38887,441.44909L693.97544,445.32895L695.43038,446.78389L703.52854,447.29911L714.34829,446.65247L735.86068,445.35918L741.3064,444.68481L746.41398,444.88932L746.84081,447.79921L749.07381,448.60751L749.30875,443.97751L747.78053,439.80456L749.08893,438.36473L754.64356,438.81948L759.8167,439.1428ZM772.36211,571.54788L774.78703,570.90124L776.08031,570.65875L777.53527,568.31466L779.87935,566.69805L781.17264,567.18304L782.87008,567.50636L783.27423,568.55715L779.79853,569.76961L775.59533,571.22456L773.25125,572.43702L772.36211,571.54788ZM785.86081,566.53639L787.07327,567.58719L789.82151,565.4856L795.15632,561.28241L798.87452,557.40254L801.38027,550.77444L802.35024,549.077L802.5119,545.68212L801.78442,546.1671L800.81446,548.99617L799.3595,553.6035L796.12628,558.8575L791.76144,563.06068L788.36656,565.00061L785.86081,566.53639Z"},
-{id:"NH",n:"New Hampshire",d:"M880.79902,142.42476L881.66802,141.34826L882.75824,138.05724L880.21516,137.14377L879.73017,134.07221L875.85032,132.94059L875.527,130.19235L868.25225,106.75153L863.65083,92.208542L862.75375,92.203482L862.10711,93.820087L861.46047,93.335106L860.4905,92.365143L859.03556,94.305068L858.98709,99.337122L859.29874,105.00434L861.23866,107.75258L861.23866,111.7941L857.52046,116.85688L854.93389,117.98852L854.93389,119.12014L856.06552,120.89841L856.06552,129.46643L855.25721,138.6811L855.09555,143.53092L856.06552,144.82422L855.90386,149.35071L855.41887,151.12899L856.38768,151.83821L873.17535,147.41366L875.35022,146.81121L877.19379,144.03788L880.79902,142.42476Z"},
-</code>
-I've found out that that large d: strings are in fact paths of a SVG graphic. In other words: you can do your own svg file (with [[http://inkscape.org/|inkscape]] for instance) and then open it with a text editor and locate the long ''<path'' entries that are inside it: with those entries you can create your own geographical chart.
-In fact, I've successfully created part of a map of Spain:
-<code javascript>
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-</code>
-And after that I've adapted the data array:
-<code javascript>
-	var sampleData =
-	{
-	"LG": { low: 3, high: 3, avg: 3, color : d3.interpolate("#ffffcc", "#800026")(3/100) },
-	"PV":{ low: 3, high: 3, avg: 3, color : d3.interpolate("#ffffcc", "#800026")(3/100) },
-	"CA":{ low: 3, high: 3, avg: 3, color : d3.interpolate("#ffffcc", "#800026")(3/100) },
-	"GA":{ low: 3, high: 3, avg: 3, color : d3.interpolate("#ffffcc", "#800026")(3/100) },
-	"PM":{ low: 3, high: 3, avg: 3, color : d3.interpolate("#ffffcc", "#800026")(3/100) },
-	"CAN":{ low: 3, high: 3, avg: 3, color : d3.interpolate("#ffffcc", "#800026")(3/100) },
-	"AR":{ low: 3, high: 3, avg: 3, color : d3.interpolate("#ffffcc", "#800026")(3/100) },
-	"CV":{ low: 3, high: 3, avg: 3, color : d3.interpolate("#ffffcc", "#800026")(3/100) },
-	"MU":{ low: 3, high: 3, avg: 3, color : d3.interpolate("#ffffcc", "#800026")(3/100) },
-	"AST":{ low: 3, high: 3, avg: 3, color : d3.interpolate("#ffffcc", "#800026")(3/100) },
-	"PN":{ low: 3, high: 3, avg: 3, color : d3.interpolate("#ffffcc", "#800026")(3/100) },
-	"MAD":{ low: 3, high: 3, avg: 3, color : d3.interpolate("#ffffcc", "#800026")(3/100) },
-	"CYL":{ low: 3, high: 3, avg: 3, color : d3.interpolate("#ffffcc", "#800026")(3/100) },
-	"CAT":{ low: 3, high: 3, avg: 3, color : d3.interpolate("#ffffcc", "#800026")(3/100) }
-	};	/* Sample random data. */
-</code>
-This configuration is more apropiate to create a custom data script to suit your needs, however it can be done better, of course.