Tanzanian Shilling TZS 2013 Conversion Rates

  • Opening Value is 1582.479210 TZS per Dollar
  • Closing Value is 1589.521667 TZS per Dollar
  • Change in Value during 2013 is 7.0425 which is 0.45%
  • Best Performance is on 2013-12-26 with 1564.666667 TZS per Dollar
  • Lowest Performance is on 2013-02-25 with 1643.553386 TZS per Dollar
  • Average Value is 1,616.3389 TZS per Dollar
  • Swing Between the higest and the lowest is 78.8867 per Dollar, that is 4.99% compared to the opening value.

USD to TZS Conversion Rates – 12 months

Date 1 USD =
2013-12-31 1,589.5217 TZS
2013-11-30 1,611.5650 TZS
2013-10-31 1,605.0616 TZS
2013-09-30 1,607.5758 TZS
2013-08-31 1,615.9858 TZS
2013-07-31 1,618.4439 TZS
2013-06-30 1,633.7303 TZS
2013-05-31 1,632.8153 TZS
2013-04-30 1,621.7057 TZS
2013-03-31 1,617.1439 TZS
2013-02-28 1,626.2163 TZS
2013-01-31 1,615.7068 TZS
google.charts.load(“current”, {packages: [“corechart”, “line”]});
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title: ‘Date’
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‘colors’:[‘red’]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12months’));
chart.draw(data, options);
}

December, 2013

01      1,612.8167
02      1,611.8167
↗1.000, 0.06%
03      1,609.7567
↗2.060, 0.13%
04      1,608.7167
↗1.040, 0.06%
05      1,607.6600
↗1.057, 0.07%
06      1,605.5383
↗2.122, 0.13%
07      1,603.3833
↗2.155, 0.13%
08      1,603.5333
↘0.150, 0.01%
09      1,606.0000
↘2.467, 0.15%
10      1,606.6667
↘0.667, 0.04%
11      1,610.0583
↘3.392, 0.21%
12      1,605.8783
↗4.180, 0.26%
13      1,605.8367
↗0.042, 0.00%
14      1,606.8117
↘0.975, 0.06%
15      1,605.1167
↗1.695, 0.11%
16      1,604.7833
↗0.333, 0.02%
17      1,606.2450
↘1.462, 0.09%
18      1,605.9167
↗0.328, 0.02%
19      1,603.3983
↗2.518, 0.16%
20      1,601.4033
↗1.995, 0.12%
21      1,598.6267
↗2.777, 0.17%
22      1,595.0167
↗3.610, 0.23%
23      1,583.6667
↗11.350, 0.71%
24      1,571.6483
↗12.018, 0.76%
25      1,568.9417
↗2.707, 0.17%
26      1,564.6667
↗4.275, 0.27%
27      1,576.0167
↘11.350, 0.73%
28      1,579.3050
↘3.288, 0.21%
29      1,588.0667
↘8.762, 0.55%
30      1,594.4000
↘6.333, 0.40%
31      1,589.5217
↗4.878, 0.31%
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‘colors’:[”]
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chart.draw(data, options);
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November, 2013

01      1,605.4241
02      1,605.6416
↘0.217, 0.01%
03      1,605.4216
↗0.220, 0.01%
04      1,605.4216
→0.000, 0.00%
05      1,606.2333
↘0.812, 0.05%
06      1,604.7500
↗1.483, 0.09%
07      1,606.1150
↘1.365, 0.09%
08      1,605.2500
↗0.865, 0.05%
09      1,607.2300
↘1.980, 0.12%
10      1,607.2667
↘0.037, 0.00%
11      1,607.3000
↘0.033, 0.00%
12      1,606.5500
↗0.750, 0.05%
13      1,608.5833
↘2.033, 0.13%
14      1,607.5333
↗1.050, 0.07%
15      1,605.3383
↗2.195, 0.14%
16      1,606.9633
↘1.625, 0.10%
17      1,605.9500
↗1.013, 0.06%
18      1,609.6500
↘3.700, 0.23%
19      1,606.5000
↗3.150, 0.20%
20      1,605.5000
↗1.000, 0.06%
21      1,605.8333
↘0.333, 0.02%
22      1,611.9367
↘6.103, 0.38%
23      1,611.9367
→0.000, 0.00%
24      1,610.4833
↗1.453, 0.09%
25      1,609.6667
↗0.817, 0.05%
26      1,610.2667
↘0.600, 0.04%
27      1,610.5533
↘0.287, 0.02%
28      1,610.0000
↗0.553, 0.03%
29      1,611.7167
↘1.717, 0.11%
30      1,611.5650
↗0.152, 0.01%
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‘colors’:[”]
};
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chart.draw(data, options);
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October, 2013

01      1,609.7483
02      1,609.2333
↗0.515, 0.03%
03      1,609.8546
↘0.621, 0.04%
04      1,609.7871
↗0.068, 0.00%
05      1,610.1546
↘0.368, 0.02%
06      1,611.4633
↘1.309, 0.08%
07      1,610.3140
↗1.149, 0.07%
08      1,609.8602
↗0.454, 0.03%
09      1,609.7865
↗0.074, 0.00%
10      1,607.8905
↗1.896, 0.12%
11      1,609.2690
↘1.378, 0.09%
12      1,609.9896
↘0.721, 0.04%
13      1,610.8883
↘0.899, 0.06%
14      1,609.3418
↗1.547, 0.10%
15      1,608.8077
↗0.534, 0.03%
16      1,616.8714
↘8.064, 0.50%
17      1,609.1018
↗7.770, 0.48%
18      1,613.0433
↘3.942, 0.24%
19      1,609.6415
↗3.402, 0.21%
20      1,610.7765
↘1.135, 0.07%
21      1,608.3341
↗2.442, 0.15%
22      1,608.8515
↘0.517, 0.03%
23      1,607.5030
↗1.348, 0.08%
24      1,603.2354
↗4.268, 0.27%
25      1,604.5866
↘1.351, 0.08%
26      1,605.0141
↘0.428, 0.03%
27      1,604.6416
↗0.373, 0.02%
28      1,604.6216
↗0.020, 0.00%
29      1,604.6591
↘0.038, 0.00%
30      1,606.7954
↘2.136, 0.13%
31      1,605.0616
↗1.734, 0.11%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
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var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
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title: ‘Date’
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title: ‘Conversion Rate’
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‘colors’:[”]
};
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chart.draw(data, options);
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September, 2013

01      1,616.7018
02      1,617.1346
↘0.433, 0.03%
03      1,617.2766
↘0.142, 0.01%
04      1,615.4748
↗1.802, 0.11%
05      1,617.9878
↘2.513, 0.16%
06      1,617.0166
↗0.971, 0.06%
07      1,617.0166
→0.000, 0.00%
08      1,613.6676
↗3.349, 0.21%
09      1,616.2807
↘2.613, 0.16%
10      1,615.7882
↗0.493, 0.03%
11      1,613.6358
↗2.152, 0.13%
12      1,614.1972
↘0.561, 0.03%
13      1,614.1735
↗0.024, 0.00%
14      1,615.7382
↘1.565, 0.10%
15      1,615.5457
↗0.193, 0.01%
16      1,615.1272
↗0.419, 0.03%
17      1,613.1360
↗1.991, 0.12%
18      1,616.9372
↘3.801, 0.24%
19      1,612.0733
↗4.864, 0.30%
20      1,612.4010
↘0.328, 0.02%
21      1,616.4957
↘4.095, 0.25%
22      1,615.2382
↗1.257, 0.08%
23      1,610.7258
↗4.512, 0.28%
24      1,612.9777
↘2.252, 0.14%
25      1,613.5358
↘0.558, 0.03%
26      1,611.3121
↗2.224, 0.14%
27      1,610.6508
↗0.661, 0.04%
28      1,610.9871
↘0.336, 0.02%
29      1,610.3133
↗0.674, 0.04%
30      1,607.5758
↗2.737, 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”);
data.addColumn(“number”, “Conversion Rate”);
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title: ‘Date’
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title: ‘Conversion Rate’
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‘colors’:[”]
};
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chart.draw(data, options);
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August, 2013

01      1,618.8145
02      1,618.8491
↘0.035, 0.00%
03      1,619.9931
↘1.144, 0.07%
04      1,616.1411
↗3.852, 0.24%
05      1,619.2191
↘3.078, 0.19%
06      1,619.9653
↘0.746, 0.05%
07      1,619.8561
↗0.109, 0.01%
08      1,618.2991
↗1.557, 0.10%
09      1,619.0091
↘0.710, 0.04%
10      1,619.4341
↘0.425, 0.03%
11      1,621.1291
↘1.695, 0.10%
12      1,619.0046
↗2.125, 0.13%
13      1,619.6536
↘0.649, 0.04%
14      1,617.0566
↗2.597, 0.16%
15      1,615.0598
↗1.997, 0.12%
16      1,617.3466
↘2.287, 0.14%
17      1,617.2751
↗0.071, 0.00%
18      1,618.2711
↘0.996, 0.06%
19      1,617.2946
↗0.977, 0.06%
20      1,616.1146
↗1.180, 0.07%
21      1,618.2246
↘2.110, 0.13%
22      1,615.0446
↗3.180, 0.20%
23      1,617.6336
↘2.589, 0.16%
24      1,616.5306
↗1.103, 0.07%
25      1,616.0946
↗0.436, 0.03%
26      1,616.4446
↘0.350, 0.02%
27      1,616.0426
↗0.402, 0.02%
28      1,618.1756
↘2.133, 0.13%
29      1,617.1306
↗1.045, 0.06%
30      1,616.5796
↗0.551, 0.03%
31      1,615.9858
↗0.594, 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”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2013-08-01”),1,618.814,1,618.81],[new Date(“2013-08-02”),1,618.849,1,618.85],[new Date(“2013-08-03”),1,619.993,1,619.99],[new Date(“2013-08-04”),1,616.141,1,616.14],[new Date(“2013-08-05”),1,619.219,1,619.22],[new Date(“2013-08-06”),1,619.965,1,619.97],[new Date(“2013-08-07”),1,619.856,1,619.86],[new Date(“2013-08-08”),1,618.299,1,618.30],[new Date(“2013-08-09”),1,619.009,1,619.01],[new Date(“2013-08-10”),1,619.434,1,619.43],[new Date(“2013-08-11”),1,621.129,1,621.13],[new Date(“2013-08-12”),1,619.005,1,619.00],[new Date(“2013-08-13”),1,619.654,1,619.65],[new Date(“2013-08-14”),1,617.057,1,617.06],[new Date(“2013-08-15”),1,615.060,1,615.06],[new Date(“2013-08-16”),1,617.347,1,617.35],[new Date(“2013-08-17”),1,617.275,1,617.28],[new Date(“2013-08-18”),1,618.271,1,618.27],[new Date(“2013-08-19”),1,617.295,1,617.29],[new Date(“2013-08-20”),1,616.115,1,616.11],[new Date(“2013-08-21”),1,618.225,1,618.22],[new Date(“2013-08-22”),1,615.045,1,615.04],[new Date(“2013-08-23”),1,617.634,1,617.63],[new Date(“2013-08-24”),1,616.531,1,616.53],[new Date(“2013-08-25”),1,616.095,1,616.09],[new Date(“2013-08-26”),1,616.445,1,616.44],[new Date(“2013-08-27”),1,616.043,1,616.04],[new Date(“2013-08-28”),1,618.176,1,618.18],[new Date(“2013-08-29”),1,617.131,1,617.13],[new Date(“2013-08-30”),1,616.580,1,616.58],[new Date(“2013-08-31″),1,615.986,1,615.99],]);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_8’));
chart.draw(data, options);
}

July, 2013

01      1,632.0342
02      1,635.1305
↘3.096, 0.19%
03      1,628.2891
↗6.841, 0.42%
04      1,631.5991
↘3.310, 0.20%
05      1,624.8453
↗6.754, 0.41%
06      1,627.2291
↘2.384, 0.15%
07      1,628.5128
↘1.284, 0.08%
08      1,626.6041
↗1.909, 0.12%
09      1,624.8876
↗1.716, 0.11%
10      1,615.6729
↗9.215, 0.57%
11      1,619.9851
↘4.312, 0.27%
12      1,617.4151
↗2.570, 0.16%
13      1,620.1364
↘2.721, 0.17%
14      1,618.8114
↗1.325, 0.08%
15      1,614.7307
↗4.081, 0.25%
16      1,615.9064
↘1.176, 0.07%
17      1,619.6879
↘3.782, 0.23%
18      1,620.2642
↘0.576, 0.04%
19      1,621.8142
↘1.550, 0.10%
20      1,620.5389
↗1.275, 0.08%
21      1,619.3039
↗1.235, 0.08%
22      1,619.5364
↘0.233, 0.01%
23      1,617.3989
↗2.138, 0.13%
24      1,621.4164
↘4.017, 0.25%
25      1,617.9239
↗3.493, 0.22%
26      1,621.8342
↘3.910, 0.24%
27      1,619.7192
↗2.115, 0.13%
28      1,620.8817
↘1.162, 0.07%
29      1,620.7114
↗0.170, 0.01%
30      1,619.8864
↗0.825, 0.05%
31      1,618.4439
↗1.443, 0.09%
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”),1,632.034,1,632.03],[new Date(“2013-07-02”),1,635.130,1,635.13],[new Date(“2013-07-03”),1,628.289,1,628.29],[new Date(“2013-07-04”),1,631.599,1,631.60],[new Date(“2013-07-05”),1,624.845,1,624.85],[new Date(“2013-07-06”),1,627.229,1,627.23],[new Date(“2013-07-07”),1,628.513,1,628.51],[new Date(“2013-07-08”),1,626.604,1,626.60],[new Date(“2013-07-09”),1,624.888,1,624.89],[new Date(“2013-07-10”),1,615.673,1,615.67],[new Date(“2013-07-11”),1,619.985,1,619.99],[new Date(“2013-07-12”),1,617.415,1,617.42],[new Date(“2013-07-13”),1,620.136,1,620.14],[new Date(“2013-07-14”),1,618.811,1,618.81],[new Date(“2013-07-15”),1,614.731,1,614.73],[new Date(“2013-07-16”),1,615.906,1,615.91],[new Date(“2013-07-17”),1,619.688,1,619.69],[new Date(“2013-07-18”),1,620.264,1,620.26],[new Date(“2013-07-19”),1,621.814,1,621.81],[new Date(“2013-07-20”),1,620.539,1,620.54],[new Date(“2013-07-21”),1,619.304,1,619.30],[new Date(“2013-07-22”),1,619.536,1,619.54],[new Date(“2013-07-23”),1,617.399,1,617.40],[new Date(“2013-07-24”),1,621.416,1,621.42],[new Date(“2013-07-25”),1,617.924,1,617.92],[new Date(“2013-07-26”),1,621.834,1,621.83],[new Date(“2013-07-27”),1,619.719,1,619.72],[new Date(“2013-07-28”),1,620.882,1,620.88],[new Date(“2013-07-29”),1,620.711,1,620.71],[new Date(“2013-07-30”),1,619.886,1,619.89],[new Date(“2013-07-31″),1,618.444,1,618.44],]);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      1,632.6317
02      1,633.5467
↘0.915, 0.06%
03      1,631.3217
↗2.225, 0.14%
04      1,634.2067
↘2.885, 0.18%
05      1,632.2317
↗1.975, 0.12%
06      1,632.2591
↘0.027, 0.00%
07      1,635.9028
↘3.644, 0.22%
08      1,634.3353
↗1.567, 0.10%
09      1,638.5153
↘4.180, 0.26%
10      1,634.9403
↗3.575, 0.22%
11      1,634.4153
↗0.525, 0.03%
12      1,635.5823
↘1.167, 0.07%
13      1,636.1548
↘0.572, 0.04%
14      1,638.0598
↘1.905, 0.12%
15      1,639.1590
↘1.099, 0.07%
16      1,638.4228
↗0.736, 0.04%
17      1,638.4840
↘0.061, 0.00%
18      1,638.1590
↗0.325, 0.02%
19      1,642.6490
↘4.490, 0.27%
20      1,637.7865
↗4.862, 0.30%
21      1,639.8941
↘2.108, 0.13%
22      1,637.1291
↗2.765, 0.17%
23      1,643.1428
↘6.014, 0.37%
24      1,638.3403
↗4.803, 0.29%
25      1,628.8916
↗9.449, 0.58%
26      1,618.9322
↗9.959, 0.61%
27      1,620.3635
↘1.431, 0.09%
28      1,628.5880
↘8.225, 0.51%
29      1,627.7478
↗0.840, 0.05%
30      1,633.7303
↘5.983, 0.37%
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”),1,632.632,1,632.63],[new Date(“2013-06-02”),1,633.547,1,633.55],[new Date(“2013-06-03”),1,631.322,1,631.32],[new Date(“2013-06-04”),1,634.207,1,634.21],[new Date(“2013-06-05”),1,632.232,1,632.23],[new Date(“2013-06-06”),1,632.259,1,632.26],[new Date(“2013-06-07”),1,635.903,1,635.90],[new Date(“2013-06-08”),1,634.335,1,634.34],[new Date(“2013-06-09”),1,638.515,1,638.52],[new Date(“2013-06-10”),1,634.940,1,634.94],[new Date(“2013-06-11”),1,634.415,1,634.42],[new Date(“2013-06-12”),1,635.582,1,635.58],[new Date(“2013-06-13”),1,636.155,1,636.15],[new Date(“2013-06-14”),1,638.060,1,638.06],[new Date(“2013-06-15”),1,639.159,1,639.16],[new Date(“2013-06-16”),1,638.423,1,638.42],[new Date(“2013-06-17”),1,638.484,1,638.48],[new Date(“2013-06-18”),1,638.159,1,638.16],[new Date(“2013-06-19”),1,642.649,1,642.65],[new Date(“2013-06-20”),1,637.787,1,637.79],[new Date(“2013-06-21”),1,639.894,1,639.89],[new Date(“2013-06-22”),1,637.129,1,637.13],[new Date(“2013-06-23”),1,643.143,1,643.14],[new Date(“2013-06-24”),1,638.340,1,638.34],[new Date(“2013-06-25”),1,628.892,1,628.89],[new Date(“2013-06-26”),1,618.932,1,618.93],[new Date(“2013-06-27”),1,620.363,1,620.36],[new Date(“2013-06-28”),1,628.588,1,628.59],[new Date(“2013-06-29”),1,627.748,1,627.75],[new Date(“2013-06-30″),1,633.730,1,633.73],]);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      1,620.6700
02      1,626.4270
↘5.757, 0.36%
03      1,624.3707
↗2.056, 0.13%
04      1,630.0374
↘5.667, 0.35%
05      1,627.7361
↗2.301, 0.14%
06      1,628.1911
↘0.455, 0.03%
07      1,630.3678
↘2.177, 0.13%
08      1,629.1903
↗1.178, 0.07%
09      1,634.2178
↘5.027, 0.31%
10      1,629.7103
↗4.507, 0.28%
11      1,631.4836
↘1.773, 0.11%
12      1,630.7586
↗0.725, 0.04%
13      1,628.8053
↗1.953, 0.12%
14      1,629.9999
↘1.195, 0.07%
15      1,627.5041
↗2.496, 0.15%
16      1,628.3149
↘0.811, 0.05%
17      1,629.0828
↘0.768, 0.05%
18      1,629.0828
→0.000, 0.00%
19      1,631.2428
↘2.160, 0.13%
20      1,630.7217
↗0.521, 0.03%
21      1,628.6678
↗2.054, 0.13%
22      1,629.4303
↘0.762, 0.05%
23      1,626.5828
↗2.847, 0.17%
24      1,630.5341
↘3.951, 0.24%
25      1,628.5053
↗2.029, 0.12%
26      1,631.1303
↘2.625, 0.16%
27      1,629.8303
↗1.300, 0.08%
28      1,630.8786
↘1.048, 0.06%
29      1,630.6653
↗0.213, 0.01%
30      1,630.4516
↗0.214, 0.01%
31      1,632.8153
↘2.364, 0.14%
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”),1,620.670,1,620.67],[new Date(“2013-05-02”),1,626.427,1,626.43],[new Date(“2013-05-03”),1,624.371,1,624.37],[new Date(“2013-05-04”),1,630.037,1,630.04],[new Date(“2013-05-05”),1,627.736,1,627.74],[new Date(“2013-05-06”),1,628.191,1,628.19],[new Date(“2013-05-07”),1,630.368,1,630.37],[new Date(“2013-05-08”),1,629.190,1,629.19],[new Date(“2013-05-09”),1,634.218,1,634.22],[new Date(“2013-05-10”),1,629.710,1,629.71],[new Date(“2013-05-11”),1,631.484,1,631.48],[new Date(“2013-05-12”),1,630.759,1,630.76],[new Date(“2013-05-13”),1,628.805,1,628.81],[new Date(“2013-05-14”),1,630.000,1,630.00],[new Date(“2013-05-15”),1,627.504,1,627.50],[new Date(“2013-05-16”),1,628.315,1,628.31],[new Date(“2013-05-17”),1,629.083,1,629.08],[new Date(“2013-05-18”),1,629.083,1,629.08],[new Date(“2013-05-19”),1,631.243,1,631.24],[new Date(“2013-05-20”),1,630.722,1,630.72],[new Date(“2013-05-21”),1,628.668,1,628.67],[new Date(“2013-05-22”),1,629.430,1,629.43],[new Date(“2013-05-23”),1,626.583,1,626.58],[new Date(“2013-05-24”),1,630.534,1,630.53],[new Date(“2013-05-25”),1,628.505,1,628.51],[new Date(“2013-05-26”),1,631.130,1,631.13],[new Date(“2013-05-27”),1,629.830,1,629.83],[new Date(“2013-05-28”),1,630.879,1,630.88],[new Date(“2013-05-29”),1,630.665,1,630.67],[new Date(“2013-05-30”),1,630.452,1,630.45],[new Date(“2013-05-31″),1,632.815,1,632.82],]);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      1,617.4882
02      1,619.4000
↘1.912, 0.12%
03      1,619.7682
↘0.368, 0.02%
04      1,614.3033
↗5.465, 0.34%
05      1,618.5589
↘4.256, 0.26%
06      1,616.1726
↗2.386, 0.15%
07      1,616.1726
→0.000, 0.00%
08      1,617.1167
↘0.944, 0.06%
09      1,615.5182
↗1.598, 0.10%
10      1,618.6782
↘3.160, 0.20%
11      1,618.2133
↗0.465, 0.03%
12      1,623.1567
↘4.943, 0.31%
13      1,624.0454
↘0.889, 0.05%
14      1,621.2704
↗2.775, 0.17%
15      1,624.8916
↘3.621, 0.22%
16      1,621.4967
↗3.395, 0.21%
17      1,630.1441
↘8.647, 0.53%
18      1,628.8249
↗1.319, 0.08%
19      1,630.4800
↘1.655, 0.10%
20      1,629.4766
↗1.003, 0.06%
21      1,631.1928
↘1.716, 0.11%
22      1,627.9333
↗3.260, 0.20%
23      1,624.6816
↗3.252, 0.20%
24      1,628.0899
↘3.408, 0.21%
25      1,629.2128
↘1.123, 0.07%
26      1,620.0295
↗9.183, 0.56%
27      1,619.8307
↗0.199, 0.01%
28      1,614.3533
↗5.477, 0.34%
29      1,621.7667
↘7.413, 0.46%
30      1,621.7057
↗0.061, 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(“2013-04-01”),1,617.488,1,617.49],[new Date(“2013-04-02”),1,619.400,1,619.40],[new Date(“2013-04-03”),1,619.768,1,619.77],[new Date(“2013-04-04”),1,614.303,1,614.30],[new Date(“2013-04-05”),1,618.559,1,618.56],[new Date(“2013-04-06”),1,616.173,1,616.17],[new Date(“2013-04-07”),1,616.173,1,616.17],[new Date(“2013-04-08”),1,617.117,1,617.12],[new Date(“2013-04-09”),1,615.518,1,615.52],[new Date(“2013-04-10”),1,618.678,1,618.68],[new Date(“2013-04-11”),1,618.213,1,618.21],[new Date(“2013-04-12”),1,623.157,1,623.16],[new Date(“2013-04-13”),1,624.045,1,624.05],[new Date(“2013-04-14”),1,621.270,1,621.27],[new Date(“2013-04-15”),1,624.892,1,624.89],[new Date(“2013-04-16”),1,621.497,1,621.50],[new Date(“2013-04-17”),1,630.144,1,630.14],[new Date(“2013-04-18”),1,628.825,1,628.82],[new Date(“2013-04-19”),1,630.480,1,630.48],[new Date(“2013-04-20”),1,629.477,1,629.48],[new Date(“2013-04-21”),1,631.193,1,631.19],[new Date(“2013-04-22”),1,627.933,1,627.93],[new Date(“2013-04-23”),1,624.682,1,624.68],[new Date(“2013-04-24”),1,628.090,1,628.09],[new Date(“2013-04-25”),1,629.213,1,629.21],[new Date(“2013-04-26”),1,620.029,1,620.03],[new Date(“2013-04-27”),1,619.831,1,619.83],[new Date(“2013-04-28”),1,614.353,1,614.35],[new Date(“2013-04-29”),1,621.767,1,621.77],[new Date(“2013-04-30″),1,621.706,1,621.71],]);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_4’));
chart.draw(data, options);
}

March, 2013

01      1,621.3326
02      1,623.2003
↘1.868, 0.12%
03      1,621.8975
↗1.303, 0.08%
04      1,619.5175
↗2.380, 0.15%
05      1,620.1671
↘0.650, 0.04%
06      1,624.6791
↘4.512, 0.28%
07      1,617.1850
↗7.494, 0.46%
08      1,626.4223
↘9.237, 0.57%
09      1,624.2493
↗2.173, 0.13%
10      1,630.8133
↘6.564, 0.40%
11      1,621.8573
↗8.956, 0.55%
12      1,622.8133
↘0.956, 0.06%
13      1,625.5225
↘2.709, 0.17%
14      1,618.9900
↗6.533, 0.40%
15      1,624.3433
↘5.353, 0.33%
16      1,622.5063
↗1.837, 0.11%
17      1,626.2753
↘3.769, 0.23%
18      1,623.2293
↗3.046, 0.19%
19      1,628.0075
↘4.778, 0.29%
20      1,619.2550
↗8.752, 0.54%
21      1,624.4973
↘5.242, 0.32%
22      1,617.3075
↗7.190, 0.44%
23      1,618.2650
↘0.958, 0.06%
24      1,616.1166
↗2.148, 0.13%
25      1,623.2975
↘7.181, 0.44%
26      1,615.6575
↗7.640, 0.47%
27      1,616.9618
↘1.304, 0.08%
28      1,617.6506
↘0.689, 0.04%
29      1,616.7126
↗0.938, 0.06%
30      1,617.4864
↘0.774, 0.05%
31      1,617.1439
↗0.342, 0.02%
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”),1,621.333,1,621.33],[new Date(“2013-03-02”),1,623.200,1,623.20],[new Date(“2013-03-03”),1,621.898,1,621.90],[new Date(“2013-03-04”),1,619.518,1,619.52],[new Date(“2013-03-05”),1,620.167,1,620.17],[new Date(“2013-03-06”),1,624.679,1,624.68],[new Date(“2013-03-07”),1,617.185,1,617.19],[new Date(“2013-03-08”),1,626.422,1,626.42],[new Date(“2013-03-09”),1,624.249,1,624.25],[new Date(“2013-03-10”),1,630.813,1,630.81],[new Date(“2013-03-11”),1,621.857,1,621.86],[new Date(“2013-03-12”),1,622.813,1,622.81],[new Date(“2013-03-13”),1,625.523,1,625.52],[new Date(“2013-03-14”),1,618.990,1,618.99],[new Date(“2013-03-15”),1,624.343,1,624.34],[new Date(“2013-03-16”),1,622.506,1,622.51],[new Date(“2013-03-17”),1,626.275,1,626.28],[new Date(“2013-03-18”),1,623.229,1,623.23],[new Date(“2013-03-19”),1,628.008,1,628.01],[new Date(“2013-03-20”),1,619.255,1,619.26],[new Date(“2013-03-21”),1,624.497,1,624.50],[new Date(“2013-03-22”),1,617.308,1,617.31],[new Date(“2013-03-23”),1,618.265,1,618.27],[new Date(“2013-03-24”),1,616.117,1,616.12],[new Date(“2013-03-25”),1,623.298,1,623.30],[new Date(“2013-03-26”),1,615.658,1,615.66],[new Date(“2013-03-27”),1,616.962,1,616.96],[new Date(“2013-03-28”),1,617.651,1,617.65],[new Date(“2013-03-29”),1,616.713,1,616.71],[new Date(“2013-03-30”),1,617.486,1,617.49],[new Date(“2013-03-31″),1,617.144,1,617.14],]);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      1,619.9126
02      1,621.0791
↘1.167, 0.07%
03      1,621.4050
↘0.326, 0.02%
04      1,605.8350
↗15.570, 0.96%
05      1,617.7543
↘11.919, 0.74%
06      1,615.2313
↗2.523, 0.16%
07      1,624.7406
↘9.509, 0.59%
08      1,617.8938
↗6.847, 0.42%
09      1,620.0398
↘2.146, 0.13%
10      1,620.2998
↘0.260, 0.02%
11      1,614.1746
↗6.125, 0.38%
12      1,614.8018
↘0.627, 0.04%
13      1,616.9200
↘2.118, 0.13%
14      1,614.9986
↗1.921, 0.12%
15      1,617.0936
↘2.095, 0.13%
16      1,616.3656
↗0.728, 0.05%
17      1,614.6900
↗1.676, 0.10%
18      1,617.2786
↘2.589, 0.16%
19      1,617.3766
↘0.098, 0.01%
20      1,628.2525
↘10.876, 0.67%
21      1,625.5413
↗2.711, 0.17%
22      1,633.4064
↘7.865, 0.48%
23      1,632.9922
↗0.414, 0.03%
24      1,632.5822
↗0.410, 0.03%
25      1,643.5534
↘10.971, 0.67%
26      1,628.8049
↗14.748, 0.90%
27      1,627.2563
↗1.549, 0.10%
28      1,626.2163
↗1.040, 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(“2013-02-01”),1,619.913,1,619.91],[new Date(“2013-02-02”),1,621.079,1,621.08],[new Date(“2013-02-03”),1,621.405,1,621.41],[new Date(“2013-02-04”),1,605.835,1,605.84],[new Date(“2013-02-05”),1,617.754,1,617.75],[new Date(“2013-02-06”),1,615.231,1,615.23],[new Date(“2013-02-07”),1,624.741,1,624.74],[new Date(“2013-02-08”),1,617.894,1,617.89],[new Date(“2013-02-09”),1,620.040,1,620.04],[new Date(“2013-02-10”),1,620.300,1,620.30],[new Date(“2013-02-11”),1,614.175,1,614.17],[new Date(“2013-02-12”),1,614.802,1,614.80],[new Date(“2013-02-13”),1,616.920,1,616.92],[new Date(“2013-02-14”),1,614.999,1,615.00],[new Date(“2013-02-15”),1,617.094,1,617.09],[new Date(“2013-02-16”),1,616.366,1,616.37],[new Date(“2013-02-17”),1,614.690,1,614.69],[new Date(“2013-02-18”),1,617.279,1,617.28],[new Date(“2013-02-19”),1,617.377,1,617.38],[new Date(“2013-02-20”),1,628.253,1,628.25],[new Date(“2013-02-21”),1,625.541,1,625.54],[new Date(“2013-02-22”),1,633.406,1,633.41],[new Date(“2013-02-23”),1,632.992,1,632.99],[new Date(“2013-02-24”),1,632.582,1,632.58],[new Date(“2013-02-25”),1,643.553,1,643.55],[new Date(“2013-02-26”),1,628.805,1,628.80],[new Date(“2013-02-27”),1,627.256,1,627.26],[new Date(“2013-02-28″),1,626.216,1,626.22],]);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_2’));
chart.draw(data, options);
}

January, 2013

01      1,582.4792
02      1,592.6733
↘10.194, 0.64%
03      1,595.4070
↘2.734, 0.17%
04      1,589.7910
↗5.616, 0.35%
05      1,589.6050
↗0.186, 0.01%
06      1,585.4700
↗4.135, 0.26%
07      1,584.4690
↗1.001, 0.06%
08      1,595.3453
↘10.876, 0.69%
09      1,592.3493
↗2.996, 0.19%
10      1,589.9410
↗2.408, 0.15%
11      1,590.5438
↘0.603, 0.04%
12      1,593.7278
↘3.184, 0.20%
13      1,591.8648
↗1.863, 0.12%
14      1,597.7848
↘5.920, 0.37%
15      1,600.1730
↘2.388, 0.15%
16      1,597.9670
↗2.206, 0.14%
17      1,599.8070
↘1.840, 0.12%
18      1,604.9158
↘5.109, 0.32%
19      1,605.3323
↘0.416, 0.03%
20      1,607.7683
↘2.436, 0.15%
21      1,607.5633
↗0.205, 0.01%
22      1,609.9114
↘2.348, 0.15%
23      1,610.0524
↘0.141, 0.01%
24      1,606.1672
↗3.885, 0.24%
25      1,607.7434
↘1.576, 0.10%
26      1,605.8313
↗1.912, 0.12%
27      1,605.3693
↗0.462, 0.03%
28      1,607.7232
↘2.354, 0.15%
29      1,607.5546
↗0.169, 0.01%
30      1,613.0358
↘5.481, 0.34%
31      1,615.7068
↘2.671, 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”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2013-01-01”),1,582.479,1,582.48],[new Date(“2013-01-02”),1,592.673,1,592.67],[new Date(“2013-01-03”),1,595.407,1,595.41],[new Date(“2013-01-04”),1,589.791,1,589.79],[new Date(“2013-01-05”),1,589.605,1,589.61],[new Date(“2013-01-06”),1,585.470,1,585.47],[new Date(“2013-01-07”),1,584.469,1,584.47],[new Date(“2013-01-08”),1,595.345,1,595.35],[new Date(“2013-01-09”),1,592.349,1,592.35],[new Date(“2013-01-10”),1,589.941,1,589.94],[new Date(“2013-01-11”),1,590.544,1,590.54],[new Date(“2013-01-12”),1,593.728,1,593.73],[new Date(“2013-01-13”),1,591.865,1,591.86],[new Date(“2013-01-14”),1,597.785,1,597.78],[new Date(“2013-01-15”),1,600.173,1,600.17],[new Date(“2013-01-16”),1,597.967,1,597.97],[new Date(“2013-01-17”),1,599.807,1,599.81],[new Date(“2013-01-18”),1,604.916,1,604.92],[new Date(“2013-01-19”),1,605.332,1,605.33],[new Date(“2013-01-20”),1,607.768,1,607.77],[new Date(“2013-01-21”),1,607.563,1,607.56],[new Date(“2013-01-22”),1,609.911,1,609.91],[new Date(“2013-01-23”),1,610.052,1,610.05],[new Date(“2013-01-24”),1,606.167,1,606.17],[new Date(“2013-01-25”),1,607.743,1,607.74],[new Date(“2013-01-26”),1,605.831,1,605.83],[new Date(“2013-01-27”),1,605.369,1,605.37],[new Date(“2013-01-28”),1,607.723,1,607.72],[new Date(“2013-01-29”),1,607.555,1,607.55],[new Date(“2013-01-30”),1,613.036,1,613.04],[new Date(“2013-01-31″),1,615.707,1,615.71],]);var options = {
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title: ‘Date’
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vAxis: {
title: ‘Conversion Rate’
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lineWidth: 4,
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‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_1’));
chart.draw(data, options);
}