Chilean Peso CLP 2013 Conversion Rates

  • Opening Value is 479.138013 CLP per Dollar
  • Closing Value is 525.564599 CLP per Dollar
  • Change in Value during 2013 is 46.4266 which is 9.69%
  • Best Performance is on 2013-04-09 with 467.630879 CLP per Dollar
  • Lowest Performance is on 2013-12-03 with 533.616400 CLP per Dollar
  • Average Value is 495.4558 CLP per Dollar
  • Swing Between the higest and the lowest is 65.9855 per Dollar, that is 13.77% compared to the opening value.

USD to CLP Conversion Rates – 12 months

Date 1 USD =
2013-12-31 525.5646 CLP
2013-11-30 532.0464 CLP
2013-10-31 509.3981 CLP
2013-09-30 504.1705 CLP
2013-08-31 510.2419 CLP
2013-07-31 513.7072 CLP
2013-06-30 507.6948 CLP
2013-05-31 498.3058 CLP
2013-04-30 471.3652 CLP
2013-03-31 471.8531 CLP
2013-02-28 473.0336 CLP
2013-01-31 471.5627 CLP
google.charts.load(“current”, {packages: [“corechart”, “line”]});
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var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12months’));
chart.draw(data, options);
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December, 2013

01      531.8864
02      532.5620
↘0.676, 0.13%
03      533.6164
↘1.054, 0.20%
04      533.2964
↗0.320, 0.06%
05      530.6322
↗2.664, 0.50%
06      526.8176
↗3.815, 0.72%
07      526.1322
↗0.685, 0.13%
08      525.9280
↗0.204, 0.04%
09      528.3680
↘2.440, 0.46%
10      530.4168
↘2.049, 0.39%
11      532.8467
↘2.430, 0.46%
12      531.9510
↗0.896, 0.17%
13      529.6132
↗2.338, 0.44%
14      529.0356
↗0.578, 0.11%
15      529.0400
↘0.004, 0.00%
16      527.4200
↗1.620, 0.31%
17      527.1985
↗0.222, 0.04%
18      528.0782
↘0.880, 0.17%
19      529.9311
↘1.853, 0.35%
20      529.9929
↘0.062, 0.01%
21      530.0428
↘0.050, 0.01%
22      530.1960
↘0.153, 0.03%
23      527.9780
↗2.218, 0.42%
24      528.3771
↘0.399, 0.08%
25      528.5396
↘0.162, 0.03%
26      525.5670
↗2.973, 0.56%
27      525.1262
↗0.441, 0.08%
28      525.0007
↗0.125, 0.02%
29      524.3907
↗0.610, 0.12%
30      525.3980
↘1.007, 0.19%
31      525.5646
↘0.167, 0.03%
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November, 2013

01      510.6002
02      509.9068
↗0.693, 0.14%
03      510.8326
↘0.926, 0.18%
04      512.1508
↘1.318, 0.26%
05      515.1593
↘3.008, 0.59%
06      514.9282
↗0.231, 0.04%
07      516.5926
↘1.664, 0.32%
08      518.2717
↘1.679, 0.33%
09      518.7930
↘0.521, 0.10%
10      518.7370
↗0.056, 0.01%
11      520.0260
↘1.289, 0.25%
12      520.9791
↘0.953, 0.18%
13      520.7522
↗0.227, 0.04%
14      519.6378
↗1.114, 0.21%
15      520.5348
↘0.897, 0.17%
16      520.8193
↘0.284, 0.05%
17      520.0413
↗0.778, 0.15%
18      518.2400
↗1.801, 0.35%
19      519.5368
↘1.297, 0.25%
20      522.1971
↘2.660, 0.51%
21      521.9952
↗0.202, 0.04%
22      519.8764
↗2.119, 0.41%
23      519.3948
↗0.482, 0.09%
24      519.5120
↘0.117, 0.02%
25      520.5240
↘1.012, 0.19%
26      521.7059
↘1.182, 0.23%
27      526.7296
↘5.024, 0.96%
28      527.9541
↘1.225, 0.23%
29      531.5015
↘3.547, 0.67%
30      532.0464
↘0.545, 0.10%
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October, 2013

01      503.6435
02      501.9448
↗1.699, 0.34%
03      500.6304
↗1.314, 0.26%
04      499.8129
↗0.817, 0.16%
05      499.7250
↗0.088, 0.02%
06      499.7684
↘0.043, 0.01%
07      499.4451
↗0.323, 0.06%
08      499.8140
↘0.369, 0.07%
09      500.6639
↘0.850, 0.17%
10      498.6675
↗1.996, 0.40%
11      497.8571
↗0.810, 0.16%
12      498.2054
↘0.348, 0.07%
13      498.1438
↗0.062, 0.01%
14      498.2710
↘0.127, 0.03%
15      498.8574
↘0.586, 0.12%
16      496.8889
↗1.968, 0.39%
17      494.4887
↗2.400, 0.48%
18      496.0558
↘1.567, 0.32%
19      497.1134
↘1.058, 0.21%
20      497.1752
↘0.062, 0.01%
21      500.3242
↘3.149, 0.63%
22      499.9571
↗0.367, 0.07%
23      503.1531
↘3.196, 0.64%
24      503.9108
↘0.758, 0.15%
25      505.0476
↘1.137, 0.23%
26      505.4848
↘0.437, 0.09%
27      505.2334
↗0.251, 0.05%
28      506.3493
↘1.116, 0.22%
29      508.3187
↘1.969, 0.39%
30      508.5567
↘0.238, 0.05%
31      509.3981
↘0.841, 0.17%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
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September, 2013

01      510.3357
02      509.5473
↗0.788, 0.15%
03      509.4661
↗0.081, 0.02%
04      509.4566
↗0.010, 0.00%
05      508.9819
↗0.475, 0.09%
06      507.8438
↗1.138, 0.22%
07      507.4575
↗0.386, 0.08%
08      507.5499
↘0.092, 0.02%
09      508.1778
↘0.628, 0.12%
10      506.3520
↗1.826, 0.36%
11      503.6195
↗2.732, 0.54%
12      502.0748
↗1.545, 0.31%
13      504.3723
↘2.297, 0.46%
14      505.4768
↘1.105, 0.22%
15      505.6345
↘0.158, 0.03%
16      505.1495
↗0.485, 0.10%
17      502.9893
↗2.160, 0.43%
18      502.5319
↗0.457, 0.09%
19      501.4397
↗1.092, 0.22%
20      499.3849
↗2.055, 0.41%
21      499.4474
↘0.062, 0.01%
22      499.4141
↗0.033, 0.01%
23      497.1491
↗2.265, 0.45%
24      497.6748
↘0.526, 0.11%
25      500.3147
↘2.640, 0.53%
26      501.3045
↘0.990, 0.20%
27      502.8096
↘1.505, 0.30%
28      503.1744
↘0.365, 0.07%
29      503.3661
↘0.192, 0.04%
30      504.1705
↘0.804, 0.16%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
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August, 2013

01      514.7211
02      513.1397
↗1.581, 0.31%
03      512.3582
↗0.781, 0.15%
04      512.3515
↗0.007, 0.00%
05      513.0521
↘0.701, 0.14%
06      513.9930
↘0.941, 0.18%
07      515.3710
↘1.378, 0.27%
08      511.1673
↗4.204, 0.82%
09      507.8155
↗3.352, 0.66%
10      507.0103
↗0.805, 0.16%
11      507.4770
↘0.467, 0.09%
12      508.0007
↘0.524, 0.10%
13      509.6900
↘1.689, 0.33%
14      509.4472
↗0.243, 0.05%
15      509.0607
↗0.386, 0.08%
16      511.4231
↘2.362, 0.46%
17      512.6987
↘1.276, 0.25%
18      512.8168
↘0.118, 0.02%
19      516.6668
↘3.850, 0.75%
20      515.8218
↗0.845, 0.16%
21      515.8839
↘0.062, 0.01%
22      513.8126
↗2.071, 0.40%
23      511.2228
↗2.590, 0.50%
24      510.1824
↗1.040, 0.20%
25      510.1391
↗0.043, 0.01%
26      511.4607
↘1.322, 0.26%
27      513.8382
↘2.377, 0.46%
28      513.4281
↗0.410, 0.08%
29      511.5240
↗1.904, 0.37%
30      510.4313
↗1.093, 0.21%
31      510.2419
↗0.189, 0.04%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
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July, 2013

01      506.4693
02      503.6403
↗2.829, 0.56%
03      503.2158
↗0.424, 0.08%
04      503.1706
↗0.045, 0.01%
05      506.0257
↘2.855, 0.57%
06      508.0061
↘1.980, 0.39%
07      507.9617
↗0.044, 0.01%
08      507.1717
↗0.790, 0.16%
09      507.7850
↘0.613, 0.12%
10      508.0042
↘0.219, 0.04%
11      506.4700
↗1.534, 0.30%
12      505.2610
↗1.209, 0.24%
13      505.1468
↗0.114, 0.02%
14      505.1968
↘0.050, 0.01%
15      503.1218
↗2.075, 0.41%
16      501.5072
↗1.615, 0.32%
17      499.2540
↗2.253, 0.45%
18      500.1469
↘0.893, 0.18%
19      501.9146
↘1.768, 0.35%
20      502.7508
↘0.836, 0.17%
21      502.7725
↘0.022, 0.00%
22      503.2625
↘0.490, 0.10%
23      502.4271
↗0.835, 0.17%
24      504.2478
↘1.821, 0.36%
25      504.5265
↘0.279, 0.06%
26      506.3698
↘1.843, 0.37%
27      507.1172
↘0.747, 0.15%
28      507.0368
↗0.080, 0.02%
29      509.9413
↘2.904, 0.57%
30      513.3870
↘3.446, 0.68%
31      513.7072
↘0.320, 0.06%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2013-07-01”),506.469,506.47],[new Date(“2013-07-02”),503.640,503.64],[new Date(“2013-07-03”),503.216,503.22],[new Date(“2013-07-04”),503.171,503.17],[new Date(“2013-07-05”),506.026,506.03],[new Date(“2013-07-06”),508.006,508.01],[new Date(“2013-07-07”),507.962,507.96],[new Date(“2013-07-08”),507.172,507.17],[new Date(“2013-07-09”),507.785,507.78],[new Date(“2013-07-10”),508.004,508.00],[new Date(“2013-07-11”),506.470,506.47],[new Date(“2013-07-12”),505.261,505.26],[new Date(“2013-07-13”),505.147,505.15],[new Date(“2013-07-14”),505.197,505.20],[new Date(“2013-07-15”),503.122,503.12],[new Date(“2013-07-16”),501.507,501.51],[new Date(“2013-07-17”),499.254,499.25],[new Date(“2013-07-18”),500.147,500.15],[new Date(“2013-07-19”),501.915,501.91],[new Date(“2013-07-20”),502.751,502.75],[new Date(“2013-07-21”),502.773,502.77],[new Date(“2013-07-22”),503.263,503.26],[new Date(“2013-07-23”),502.427,502.43],[new Date(“2013-07-24”),504.248,504.25],[new Date(“2013-07-25”),504.527,504.53],[new Date(“2013-07-26”),506.370,506.37],[new Date(“2013-07-27”),507.117,507.12],[new Date(“2013-07-28”),507.037,507.04],[new Date(“2013-07-29”),509.941,509.94],[new Date(“2013-07-30”),513.387,513.39],[new Date(“2013-07-31″),513.707,513.71],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_7’));
chart.draw(data, options);
}

June, 2013

01      500.6457
02      499.5800
↗1.066, 0.21%
03      500.1824
↘0.602, 0.12%
04      499.8258
↗0.357, 0.07%
05      501.9049
↘2.079, 0.42%
06      503.8981
↘1.993, 0.40%
07      503.1014
↗0.797, 0.16%
08      502.0986
↗1.003, 0.20%
09      502.2706
↘0.172, 0.03%
10      503.0516
↘0.781, 0.16%
11      503.0225
↗0.029, 0.01%
12      500.9991
↗2.023, 0.40%
13      495.2944
↗5.705, 1.14%
14      493.8224
↗1.472, 0.30%
15      493.0587
↗0.764, 0.15%
16      493.0327
↗0.026, 0.01%
17      493.7401
↘0.707, 0.14%
18      497.7575
↘4.017, 0.81%
19      502.6072
↘4.850, 0.97%
20      508.4092
↘5.802, 1.15%
21      513.2859
↘4.877, 0.96%
22      512.9336
↗0.352, 0.07%
23      512.3021
↗0.631, 0.12%
24      512.7181
↘0.416, 0.08%
25      509.1878
↗3.530, 0.69%
26      507.2594
↗1.928, 0.38%
27      505.2692
↗1.990, 0.39%
28      506.1839
↘0.915, 0.18%
29      507.4352
↘1.251, 0.25%
30      507.6948
↘0.260, 0.05%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2013-06-01”),500.646,500.65],[new Date(“2013-06-02”),499.580,499.58],[new Date(“2013-06-03”),500.182,500.18],[new Date(“2013-06-04”),499.826,499.83],[new Date(“2013-06-05”),501.905,501.90],[new Date(“2013-06-06”),503.898,503.90],[new Date(“2013-06-07”),503.101,503.10],[new Date(“2013-06-08”),502.099,502.10],[new Date(“2013-06-09”),502.271,502.27],[new Date(“2013-06-10”),503.052,503.05],[new Date(“2013-06-11”),503.023,503.02],[new Date(“2013-06-12”),500.999,501.00],[new Date(“2013-06-13”),495.294,495.29],[new Date(“2013-06-14”),493.822,493.82],[new Date(“2013-06-15”),493.059,493.06],[new Date(“2013-06-16”),493.033,493.03],[new Date(“2013-06-17”),493.740,493.74],[new Date(“2013-06-18”),497.757,497.76],[new Date(“2013-06-19”),502.607,502.61],[new Date(“2013-06-20”),508.409,508.41],[new Date(“2013-06-21”),513.286,513.29],[new Date(“2013-06-22”),512.934,512.93],[new Date(“2013-06-23”),512.302,512.30],[new Date(“2013-06-24”),512.718,512.72],[new Date(“2013-06-25”),509.188,509.19],[new Date(“2013-06-26”),507.259,507.26],[new Date(“2013-06-27”),505.269,505.27],[new Date(“2013-06-28”),506.184,506.18],[new Date(“2013-06-29”),507.435,507.44],[new Date(“2013-06-30″),507.695,507.69],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_6’));
chart.draw(data, options);
}

May, 2013

01      471.3391
02      471.9268
↘0.588, 0.12%
03      470.9084
↗1.018, 0.22%
04      470.1129
↗0.796, 0.17%
05      470.0730
↗0.040, 0.01%
06      470.6090
↘0.536, 0.11%
07      470.0302
↗0.579, 0.12%
08      470.9101
↘0.880, 0.19%
09      472.5192
↘1.609, 0.34%
10      472.7508
↘0.232, 0.05%
11      473.5660
↘0.815, 0.17%
12      473.6780
↘0.112, 0.02%
13      475.0920
↘1.414, 0.30%
14      476.8370
↘1.745, 0.37%
15      477.1750
↘0.338, 0.07%
16      479.2614
↘2.086, 0.44%
17      480.5825
↘1.321, 0.28%
18      480.2689
↗0.314, 0.07%
19      480.4858
↘0.217, 0.05%
20      483.1138
↘2.628, 0.55%
21      484.4969
↘1.383, 0.29%
22      486.3178
↘1.821, 0.38%
23      487.1866
↘0.869, 0.18%
24      488.4564
↘1.270, 0.26%
25      489.0782
↘0.622, 0.13%
26      488.8722
↗0.206, 0.04%
27      489.4395
↘0.567, 0.12%
28      490.6742
↘1.235, 0.25%
29      490.1204
↗0.554, 0.11%
30      492.3436
↘2.223, 0.45%
31      498.3058
↘5.962, 1.21%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2013-05-01”),471.339,471.34],[new Date(“2013-05-02”),471.927,471.93],[new Date(“2013-05-03”),470.908,470.91],[new Date(“2013-05-04”),470.113,470.11],[new Date(“2013-05-05”),470.073,470.07],[new Date(“2013-05-06”),470.609,470.61],[new Date(“2013-05-07”),470.030,470.03],[new Date(“2013-05-08”),470.910,470.91],[new Date(“2013-05-09”),472.519,472.52],[new Date(“2013-05-10”),472.751,472.75],[new Date(“2013-05-11”),473.566,473.57],[new Date(“2013-05-12”),473.678,473.68],[new Date(“2013-05-13”),475.092,475.09],[new Date(“2013-05-14”),476.837,476.84],[new Date(“2013-05-15”),477.175,477.18],[new Date(“2013-05-16”),479.261,479.26],[new Date(“2013-05-17”),480.582,480.58],[new Date(“2013-05-18”),480.269,480.27],[new Date(“2013-05-19”),480.486,480.49],[new Date(“2013-05-20”),483.114,483.11],[new Date(“2013-05-21”),484.497,484.50],[new Date(“2013-05-22”),486.318,486.32],[new Date(“2013-05-23”),487.187,487.19],[new Date(“2013-05-24”),488.456,488.46],[new Date(“2013-05-25”),489.078,489.08],[new Date(“2013-05-26”),488.872,488.87],[new Date(“2013-05-27”),489.440,489.44],[new Date(“2013-05-28”),490.674,490.67],[new Date(“2013-05-29”),490.120,490.12],[new Date(“2013-05-30”),492.344,492.34],[new Date(“2013-05-31″),498.306,498.31],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_5’));
chart.draw(data, options);
}

April, 2013

01      472.1391
02      472.7496
↘0.610, 0.13%
03      472.5743
↗0.175, 0.04%
04      470.8940
↗1.680, 0.36%
05      469.7168
↗1.177, 0.25%
06      469.7953
↘0.079, 0.02%
07      469.2813
↗0.514, 0.11%
08      467.7425
↗1.539, 0.33%
09      467.6309
↗0.112, 0.02%
10      468.2085
↘0.578, 0.12%
11      469.1824
↘0.974, 0.21%
12      469.6494
↘0.467, 0.10%
13      469.3374
↗0.312, 0.07%
14      469.0088
↗0.329, 0.07%
15      472.0307
↘3.022, 0.64%
16      472.2181
↘0.187, 0.04%
17      473.4645
↘1.246, 0.26%
18      475.3692
↘1.905, 0.40%
19      476.6511
↘1.282, 0.27%
20      476.8090
↘0.158, 0.03%
21      476.8070
↗0.002, 0.00%
22      477.2525
↘0.446, 0.09%
23      477.5063
↘0.254, 0.05%
24      475.5938
↗1.913, 0.40%
25      473.0276
↗2.566, 0.54%
26      472.2582
↗0.769, 0.16%
27      472.4919
↘0.234, 0.05%
28      472.1510
↗0.341, 0.07%
29      471.9425
↗0.208, 0.04%
30      471.3652
↗0.577, 0.12%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2013-04-01”),472.139,472.14],[new Date(“2013-04-02”),472.750,472.75],[new Date(“2013-04-03”),472.574,472.57],[new Date(“2013-04-04”),470.894,470.89],[new Date(“2013-04-05”),469.717,469.72],[new Date(“2013-04-06”),469.795,469.80],[new Date(“2013-04-07”),469.281,469.28],[new Date(“2013-04-08”),467.742,467.74],[new Date(“2013-04-09”),467.631,467.63],[new Date(“2013-04-10”),468.208,468.21],[new Date(“2013-04-11”),469.182,469.18],[new Date(“2013-04-12”),469.649,469.65],[new Date(“2013-04-13”),469.337,469.34],[new Date(“2013-04-14”),469.009,469.01],[new Date(“2013-04-15”),472.031,472.03],[new Date(“2013-04-16”),472.218,472.22],[new Date(“2013-04-17”),473.465,473.46],[new Date(“2013-04-18”),475.369,475.37],[new Date(“2013-04-19”),476.651,476.65],[new Date(“2013-04-20”),476.809,476.81],[new Date(“2013-04-21”),476.807,476.81],[new Date(“2013-04-22”),477.252,477.25],[new Date(“2013-04-23”),477.506,477.51],[new Date(“2013-04-24”),475.594,475.59],[new Date(“2013-04-25”),473.028,473.03],[new Date(“2013-04-26”),472.258,472.26],[new Date(“2013-04-27”),472.492,472.49],[new Date(“2013-04-28”),472.151,472.15],[new Date(“2013-04-29”),471.942,471.94],[new Date(“2013-04-30″),471.365,471.37],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_4’));
chart.draw(data, options);
}

March, 2013

01      474.1813
02      474.5225
↘0.341, 0.07%
03      474.7448
↘0.222, 0.05%
04      474.5300
↗0.215, 0.05%
05      473.4810
↗1.049, 0.22%
06      472.9887
↗0.492, 0.10%
07      472.4801
↗0.509, 0.11%
08      471.7756
↗0.705, 0.15%
09      471.4960
↗0.280, 0.06%
10      472.5487
↘1.053, 0.22%
11      471.8287
↗0.720, 0.15%
12      471.4295
↗0.399, 0.08%
13      471.5705
↘0.141, 0.03%
14      471.5655
↗0.005, 0.00%
15      471.2860
↗0.279, 0.06%
16      471.9638
↘0.678, 0.14%
17      472.7401
↘0.776, 0.16%
18      472.3193
↗0.421, 0.09%
19      472.6259
↘0.307, 0.06%
20      472.6711
↘0.045, 0.01%
21      472.8267
↘0.156, 0.03%
22      472.7580
↗0.069, 0.01%
23      472.6716
↗0.086, 0.02%
24      472.6447
↗0.027, 0.01%
25      473.0675
↘0.423, 0.09%
26      472.5873
↗0.480, 0.10%
27      472.5223
↗0.065, 0.01%
28      472.0612
↗0.461, 0.10%
29      471.8571
↗0.204, 0.04%
30      471.8431
↗0.014, 0.00%
31      471.8531
↘0.010, 0.00%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2013-03-01”),474.181,474.18],[new Date(“2013-03-02”),474.523,474.52],[new Date(“2013-03-03”),474.745,474.74],[new Date(“2013-03-04”),474.530,474.53],[new Date(“2013-03-05”),473.481,473.48],[new Date(“2013-03-06”),472.989,472.99],[new Date(“2013-03-07”),472.480,472.48],[new Date(“2013-03-08”),471.776,471.78],[new Date(“2013-03-09”),471.496,471.50],[new Date(“2013-03-10”),472.549,472.55],[new Date(“2013-03-11”),471.829,471.83],[new Date(“2013-03-12”),471.430,471.43],[new Date(“2013-03-13”),471.570,471.57],[new Date(“2013-03-14”),471.565,471.57],[new Date(“2013-03-15”),471.286,471.29],[new Date(“2013-03-16”),471.964,471.96],[new Date(“2013-03-17”),472.740,472.74],[new Date(“2013-03-18”),472.319,472.32],[new Date(“2013-03-19”),472.626,472.63],[new Date(“2013-03-20”),472.671,472.67],[new Date(“2013-03-21”),472.827,472.83],[new Date(“2013-03-22”),472.758,472.76],[new Date(“2013-03-23”),472.672,472.67],[new Date(“2013-03-24”),472.645,472.64],[new Date(“2013-03-25”),473.067,473.07],[new Date(“2013-03-26”),472.587,472.59],[new Date(“2013-03-27”),472.522,472.52],[new Date(“2013-03-28”),472.061,472.06],[new Date(“2013-03-29”),471.857,471.86],[new Date(“2013-03-30”),471.843,471.84],[new Date(“2013-03-31″),471.853,471.85],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_3’));
chart.draw(data, options);
}

February, 2013

01      471.6094
02      471.6818
↘0.072, 0.02%
03      471.6050
↗0.077, 0.02%
04      472.9475
↘1.342, 0.28%
05      472.4513
↗0.496, 0.10%
06      472.8855
↘0.434, 0.09%
07      472.6980
↗0.187, 0.04%
08      472.3472
↗0.351, 0.07%
09      472.5071
↘0.160, 0.03%
10      472.4551
↗0.052, 0.01%
11      472.6093
↘0.154, 0.03%
12      472.0952
↗0.514, 0.11%
13      471.3880
↗0.707, 0.15%
14      470.9778
↗0.410, 0.09%
15      471.1365
↘0.159, 0.03%
16      471.1906
↘0.054, 0.01%
17      471.5090
↘0.318, 0.07%
18      471.5874
↘0.078, 0.02%
19      471.8586
↘0.271, 0.06%
20      472.9312
↘1.073, 0.23%
21      473.1266
↘0.195, 0.04%
22      473.3714
↘0.245, 0.05%
23      473.3647
↗0.007, 0.00%
24      473.0507
↗0.314, 0.07%
25      473.3674
↘0.317, 0.07%
26      473.1729
↗0.195, 0.04%
27      472.9017
↗0.271, 0.06%
28      473.0336
↘0.132, 0.03%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
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January, 2013

01      479.1380
02      476.2340
↗2.904, 0.61%
03      474.4347
↗1.799, 0.38%
04      474.4207
↗0.014, 0.00%
05      474.4067
↗0.014, 0.00%
06      473.1867
↗1.220, 0.26%
07      472.3847
↗0.802, 0.17%
08      472.1920
↗0.193, 0.04%
09      472.3941
↘0.202, 0.04%
10      471.5612
↗0.833, 0.18%
11      472.2112
↘0.650, 0.14%
12      472.2251
↘0.014, 0.00%
13      472.0931
↗0.132, 0.03%
14      473.0296
↘0.936, 0.20%
15      474.2394
↘1.210, 0.26%
16      474.4397
↘0.200, 0.04%
17      473.8034
↗0.636, 0.13%
18      472.1195
↗1.684, 0.36%
19      472.0675
↗0.052, 0.01%
20      472.0235
↗0.044, 0.01%
21      472.2907
↘0.267, 0.06%
22      471.6607
↗0.630, 0.13%
23      471.3094
↗0.351, 0.07%
24      470.8980
↗0.411, 0.09%
25      471.3519
↘0.454, 0.10%
26      471.9040
↘0.552, 0.12%
27      472.0811
↘0.177, 0.04%
28      472.6891
↘0.608, 0.13%
29      472.0737
↗0.615, 0.13%
30      471.9407
↗0.133, 0.03%
31      471.5627
↗0.378, 0.08%
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