Add gradient and first try to load csv file
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11c35a787b
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acc42e8b46
3
.vscode/settings.json
vendored
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3
.vscode/settings.json
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{
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"editor.formatOnSave": true
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}
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/* Add a black background color to the top navigation */
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.topnav {
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background-color: #333;
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background-image: linear-gradient(grey, lightgrey);
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overflow: hidden;
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}
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@ -8,7 +8,7 @@
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<meta name="viewport" content="width=device-width, initial-scale=1">
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<link rel="stylesheet" type="text/css" media="screen" href="css/reset.css" />
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<link rel="stylesheet" type="text/css" media="screen" href="css/main.css" />
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<script src="main.js"></script>
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<script type="text/javascript" src="main.js"></script>
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</head>
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<body>
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@ -20,6 +20,8 @@
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<p>Fourth</p>
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</ul>
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</nav>
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<input type="file" id="csvFileInput" onchange="handleFiles(this.files)" accept=".csv">
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</body>
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</html>
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54
main.js
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main.js
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// Source: https://blog.mounirmesselmeni.de/2012/11/20/reading-csv-file-with-javascript-and-html5-file-api/
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// Source: https://www.js-tutorials.com/javascript-tutorial/reading-csv-file-using-javascript-html5/
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function handleFiles(files) {
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// Check for the various File API support.
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if (window.FileReader) {
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// FileReader are supported.
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getAsText(files[0]);
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} else {
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alert('FileReader are not supported in this browser.');
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}
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}
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function getAsText(fileToRead) {
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var reader = new FileReader();
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// Read file into memory as UTF-8
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reader.readAsText(fileToRead);
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// Handle errors load
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reader.onload = loadHandler;
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reader.onerror = errorHandler;
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}
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function loadHandler(event) {
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var csv = event.target.result;
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processData(csv);
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}
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function processData(csv) {
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var table = "<table class='table'>";
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var allTextLines = csv.split(/\r\n|\n/);
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for (var i = 0; i < allTextLines.length; i++) {
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var data = allTextLines[i].split(';');
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table += "<tr>";
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for (var j = 0; j < data.length; j++) {
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table += "<td>";
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table += data[j];
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table += "</th>";
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}
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table += "</tr>";
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}
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table += "</table>";
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$("#parsed_csv_list").html(table);
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}
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function errorHandler(evt) {
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if (evt.target.error.name == "NotReadableError") {
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alert("Canno't read file !");
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}
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}
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26
world_data_v1.csv
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world_data_v1.csv
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id ,name ,birth rate per 1000,cell phones per 100,children per woman,electricity consumption per capita,gdp_per_capita,gdp_per_capita_growth,inflation annual,internet user per 100,life expectancy,military expenditure percent of gdp,gps_lat ,gps_long
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001,Brazil ,16.405 ,90.01936334 ,1.862 ,2201.808724 ,4424.758692 ,-1.520402823 ,8.228535058 ,39.22 ,74 ,1.615173655 ,-14.235004000,-51.925280000
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002,Canada ,10.625 ,70.70997244 ,1.668 ,15119.76414 ,25069.86915 ,-3.953353186 ,2.944408564 ,80.17086651 ,80.9 ,1.415710422 ,56.130366000 ,-106.346771000
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003,Chile ,15.04 ,97.01862561 ,1.873 ,3276.06449 ,6451.631126 ,-2.610485847 ,7.47050527 ,38.8 ,78.8 ,3.064076139 ,-35.675147000,71.542969000
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004,China ,13.536 ,55.97490921 ,1.642 ,2632.724637 ,2208.403948 ,8.648414427 ,6.684109668 ,28.97659939 ,75.6 ,2.24110794 ,35.86166000 ,104.19539700
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005,Colombia ,20.605 ,92.34584564 ,2.405 ,1041.994137 ,3137.695335 ,0.2081538559 ,3.666941163 ,30 ,75.3 ,3.833780372 ,4.570868000 ,-74.297333000
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006,Ecuador ,20.989 ,92.84925653 ,2.69 ,1078.038961 ,1692.067197 ,-1.079538461 ,7.595866872 ,24.6 ,74.1 ,3.746501879 ,-1.831239000 ,-78.183406000
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007,Egypt ,24.83 ,69.43661504 ,2.919 ,1607.918763 ,1911.964501 ,2.856917581 ,10.10750976 ,24.28 ,70.2 ,2.137305699 ,26.820553000 ,30.802498000
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008,Finland ,11.127 ,144.1530224 ,1.86 ,15241.61194 ,26205.68832 ,-8.791558776 ,0.4277308694 ,82.53133098 ,79.7 ,1.501872268 ,61.924110000 ,25.748151000
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009,France ,12.21 ,95.44434226 ,1.978 ,7339.946832 ,22508.76261 ,-3.264056248 ,1.050366124 ,69.0633593 ,81 ,2.55313249 ,46.22763800 ,2.21374900
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010,Germany ,8.136 ,127.4188883 ,1.376 ,6753.05764 ,24368.19561 ,-4.886323581 ,0.5959234322 ,79.48523153 ,80 ,1.438871341 ,51.165691000 ,10.451526000
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011,Iceland ,14.738 ,107.6604456 ,2.123 ,51259.18763 ,35310.97441 ,-6.990418561 ,6.900703626 ,92.13686385 ,82.2 ,0.0820538039 ,64.9630510000,-19.0208350000
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012,Iraq ,31.585 ,65.47478839 ,4.276 ,1086.323768 ,752.1833548 ,1.141874289 ,25.22442136 ,1.047516616 ,68.1 ,4.621383386 ,33.223191000 ,43.679291000
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013,Japan ,8.201 ,91.8955442 ,1.359 ,7838.005685 ,38242.02429 ,-6.180260885 ,-2.08543109 ,77.38468963 ,82.8 ,1.019445017 ,36.204824000 ,138.252924000
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014,Kazakhstan ,19.775 ,107.7147692 ,2.537 ,4447.142293 ,2345.86415 ,-1.437812068 ,19.5422854 ,17.91457965 ,66.6 ,1.105385125 ,48.019573000 ,66.923684000
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015,Mexico ,19.091 ,74.25785259 ,2.313 ,1869.82352 ,5875.619997 ,-7.417438847 ,4.033645258 ,26.34 ,75.5 ,0.5396656609 ,23.6345010000,-102.5527840000
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016,New Zealand ,13.831 ,108.7301521 ,2.125 ,9375.550304 ,14778.16393 ,-1.552308788 ,3.486782259 ,79.82609287 ,80.3 ,1.140562366 ,-40.900557000,174.885971000
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017,Nigeria ,40.134 ,48.23561006 ,6.021 ,119.8151486 ,513.5003377 ,4.3526073 ,9.313146383 ,20 ,58.5 ,0.8924302789 ,9.0819990000 ,8.6752770000
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018,Peru ,21.342 ,85.86901405 ,2.545 ,1043.052601 ,2955.186222 ,-0.2228977721 ,4.49134447 ,31.4 ,76.7 ,1.348875763 ,-9.189967000 ,-75.015152000
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019,Russia ,10.828 ,161.1162887 ,1.537 ,6132.978648 ,2806.41483 ,-7.749103694 ,11.60398093 ,29.23584146 ,68.3 ,4.36259042 ,61.52401000 ,105.31875600
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020,Saudi Arabia ,23.569 ,167.3474553 ,2.898 ,7430.743897 ,9294.355996 ,-2.242127204 ,14.36222827 ,38 ,77.6 ,10.95653405 ,23.88594200 ,45.07916200
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021,South Africa ,22.113 ,93.33587369 ,2.5 ,4532.021902 ,3697.67368 ,-2.732989408 ,7.861608575 ,10.08745979 ,55.8 ,1.394530379 ,-30.559482000,22.937506000
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022,Sweden ,11.72 ,112.1241184 ,1.937 ,14143.01101 ,30885.45914 ,-5.976535294 ,1.022227082 ,91.12326108 ,81.2 ,1.247701873 ,60.128161000 ,18.643501000
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023,United Arab Emirates,14.027 ,153.7997194 ,1.903 ,9998.291079 ,22507.00157 ,-11.99171952 ,8.549032358 ,64 ,76.1 ,5.834881976 ,23.424076000 ,53.847818000
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024,United Kingdom ,12.195 ,130.1742603 ,1.89 ,5685.635995 ,27933.77767 ,-5.019251823 ,2.861406642 ,77.79971962 ,79.7 ,2.667209048 ,52.355517700 ,-1.174319700
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025,United States ,14.191 ,89.14911634 ,2.002 ,12913.71143 ,36539.22823 ,-4.342271218 ,1.152326348 ,71.21181627 ,78.3 ,4.822730027 ,37.090240000 ,-95.712891000
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