Iranian Rial IRR 2013 Conversion Rates

  • Opening Value is 12263.717500 IRR per Dollar
  • Closing Value is 24750.334633 IRR per Dollar
  • Change in Value during 2013 is 12,486.6171 which is 101.82%
  • Best Performance is on 2013-01-10 with 12206.990000 IRR per Dollar
  • Lowest Performance is on 2013-11-02 with 24998.150000 IRR per Dollar
  • Average Value is 17,496.1049 IRR per Dollar
  • Swing Between the higest and the lowest is 12,791.1600 per Dollar, that is 104.30% compared to the opening value.

USD to IRR Conversion Rates – 12 months

Date 1 USD =
2013-12-31 24,750.3346 IRR
2013-11-30 24,795.0013 IRR
2013-10-31 24,894.6844 IRR
2013-09-30 24,773.9844 IRR
2013-08-31 24,820.3844 IRR
2013-07-31 12,236.7762 IRR
2013-06-30 12,317.0000 IRR
2013-05-31 12,278.0333 IRR
2013-04-30 12,251.3333 IRR
2013-03-31 12,271.6667 IRR
2013-02-28 12,311.0525 IRR
2013-01-31 12,260.9525 IRR
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
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data.addColumn(“number”, “Conversion Rate”);
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title: ‘Date’
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title: ‘Conversion Rate’
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‘legend’: {‘position’: ‘none’},
‘colors’:[‘red’]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12months’));
chart.draw(data, options);
}

December, 2013

01      24,795.0013
02      24,780.6680
↗14.333, 0.06%
03      24,784.6680
↘4.000, 0.02%
04      24,790.0013
↘5.333, 0.02%
05      24,789.0013
↗1.000, 0.00%
06      24,790.3346
↘1.333, 0.01%
07      24,790.3346
→0.000, 0.00%
08      24,787.3346
↗3.000, 0.01%
09      24,786.6680
↗0.667, 0.00%
10      24,776.6680
↗10.000, 0.04%
11      24,768.6680
↗8.000, 0.03%
12      24,763.0013
↗5.667, 0.02%
13      24,759.0013
↗4.000, 0.02%
14      24,759.0013
→0.000, 0.00%
15      24,771.6680
↘12.667, 0.05%
16      24,775.0013
↘3.333, 0.01%
17      24,761.3346
↗13.667, 0.06%
18      24,756.0013
↗5.333, 0.02%
19      24,761.3346
↘5.333, 0.02%
20      24,767.6680
↘6.333, 0.03%
21      24,767.6680
→0.000, 0.00%
22      24,776.0013
↘8.333, 0.03%
23      24,767.6680
↗8.333, 0.03%
24      24,760.6680
↗7.000, 0.03%
25      24,753.6680
↗7.000, 0.03%
26      24,756.6680
↘3.000, 0.01%
27      24,751.6680
↗5.000, 0.02%
28      24,751.6680
→0.000, 0.00%
29      24,751.6680
→0.000, 0.00%
30      24,763.3346
↘11.667, 0.05%
31      24,750.3346
↗13.000, 0.05%
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google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
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‘colors’:[”]
};
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chart.draw(data, options);
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November, 2013

01      24,971.3500
02      24,998.1500
↘26.800, 0.11%
03      24,991.2500
↗6.900, 0.03%
04      24,994.7500
↘3.500, 0.01%
05      24,961.0000
↗33.750, 0.14%
06      24,944.4000
↗16.600, 0.07%
07      24,938.4500
↗5.950, 0.02%
08      24,921.5000
↗16.950, 0.07%
09      24,973.3000
↘51.800, 0.21%
10      24,974.5000
↘1.200, 0.00%
11      24,979.5000
↘5.000, 0.02%
12      24,914.7500
↗64.750, 0.26%
13      24,903.2500
↗11.500, 0.05%
14      24,862.5500
↗40.700, 0.16%
15      24,850.6500
↗11.900, 0.05%
16      24,881.4500
↘30.800, 0.12%
17      24,849.2500
↗32.200, 0.13%
18      24,813.7500
↗35.500, 0.14%
19      24,818.0000
↘4.250, 0.02%
20      24,816.0000
↗2.000, 0.01%
21      24,788.0013
↗27.999, 0.11%
22      24,803.0846
↘15.083, 0.06%
23      24,803.0846
→0.000, 0.00%
24      24,770.8346
↗32.250, 0.13%
25      24,805.3346
↘34.500, 0.14%
26      24,803.3346
↗2.000, 0.01%
27      24,785.0013
↗18.333, 0.07%
28      24,785.6680
↘0.667, 0.00%
29      24,790.3346
↘4.667, 0.02%
30      24,795.0013
↘4.667, 0.02%
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title: ‘Conversion Rate’
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‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
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chart.draw(data, options);
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October, 2013

01      24,813.9677
02      24,753.1844
↗60.783, 0.24%
03      24,793.4010
↘40.217, 0.16%
04      24,776.7844
↗16.617, 0.07%
05      24,788.2677
↘11.483, 0.05%
06      24,821.6844
↘33.417, 0.13%
07      24,883.5013
↘61.817, 0.25%
08      24,803.7177
↗79.784, 0.32%
09      24,794.8177
↗8.900, 0.04%
10      24,796.1344
↘1.317, 0.01%
11      24,798.2677
↘2.133, 0.01%
12      24,800.2844
↘2.017, 0.01%
13      24,815.8177
↘15.533, 0.06%
14      24,813.9844
↗1.833, 0.01%
15      24,780.3177
↗33.667, 0.14%
16      24,806.4677
↘26.150, 0.11%
17      24,755.6177
↗50.850, 0.20%
18      24,810.3677
↘54.750, 0.22%
19      24,789.7177
↗20.650, 0.08%
20      24,812.1844
↘22.467, 0.09%
21      24,811.9844
↗0.200, 0.00%
22      24,825.3177
↘13.333, 0.05%
23      24,824.5510
↗0.767, 0.00%
24      24,795.1344
↗29.417, 0.12%
25      24,814.6010
↘19.467, 0.08%
26      24,826.3510
↘11.750, 0.05%
27      24,823.8177
↗2.533, 0.01%
28      24,820.1510
↗3.667, 0.01%
29      24,837.8177
↘17.667, 0.07%
30      24,868.4010
↘30.583, 0.12%
31      24,894.6844
↘26.283, 0.11%
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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title: ‘Date’
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title: ‘Conversion Rate’
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‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_10’));
chart.draw(data, options);
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September, 2013

01      24,825.4844
02      24,833.3177
↘7.833, 0.03%
03      24,822.2177
↗11.100, 0.04%
04      24,796.6844
↗25.533, 0.10%
05      24,863.1177
↘66.433, 0.27%
06      24,814.8844
↗48.233, 0.19%
07      24,814.8844
→0.000, 0.00%
08      24,790.5510
↗24.333, 0.10%
09      24,766.3844
↗24.167, 0.10%
10      24,819.1510
↘52.767, 0.21%
11      24,799.4844
↗19.667, 0.08%
12      24,848.5844
↘49.100, 0.20%
13      24,838.7177
↗9.867, 0.04%
14      24,858.0177
↘19.300, 0.08%
15      24,851.2510
↗6.767, 0.03%
16      24,853.7510
↘2.500, 0.01%
17      24,723.9348
↗129.816, 0.52%
18      24,693.0504
↗30.884, 0.12%
19      24,788.5177
↘95.467, 0.39%
20      24,712.4177
↗76.100, 0.31%
21      24,776.5844
↘64.167, 0.26%
22      24,779.0344
↘2.450, 0.01%
23      24,794.4844
↘15.450, 0.06%
24      24,781.1010
↗13.383, 0.05%
25      24,792.6344
↘11.533, 0.05%
26      24,810.8510
↘18.217, 0.07%
27      24,793.4177
↗17.433, 0.07%
28      24,802.9344
↘9.517, 0.04%
29      24,786.4844
↗16.450, 0.07%
30      24,773.9844
↗12.500, 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(“2013-09-01”),24,825.484,24,825.48],[new Date(“2013-09-02”),24,833.318,24,833.32],[new Date(“2013-09-03”),24,822.218,24,822.22],[new Date(“2013-09-04”),24,796.684,24,796.68],[new Date(“2013-09-05”),24,863.118,24,863.12],[new Date(“2013-09-06”),24,814.884,24,814.88],[new Date(“2013-09-07”),24,814.884,24,814.88],[new Date(“2013-09-08”),24,790.551,24,790.55],[new Date(“2013-09-09”),24,766.384,24,766.38],[new Date(“2013-09-10”),24,819.151,24,819.15],[new Date(“2013-09-11”),24,799.484,24,799.48],[new Date(“2013-09-12”),24,848.584,24,848.58],[new Date(“2013-09-13”),24,838.718,24,838.72],[new Date(“2013-09-14”),24,858.018,24,858.02],[new Date(“2013-09-15”),24,851.251,24,851.25],[new Date(“2013-09-16”),24,853.751,24,853.75],[new Date(“2013-09-17”),24,723.935,24,723.93],[new Date(“2013-09-18”),24,693.050,24,693.05],[new Date(“2013-09-19”),24,788.518,24,788.52],[new Date(“2013-09-20”),24,712.418,24,712.42],[new Date(“2013-09-21”),24,776.584,24,776.58],[new Date(“2013-09-22”),24,779.034,24,779.03],[new Date(“2013-09-23”),24,794.484,24,794.48],[new Date(“2013-09-24”),24,781.101,24,781.10],[new Date(“2013-09-25”),24,792.634,24,792.63],[new Date(“2013-09-26”),24,810.851,24,810.85],[new Date(“2013-09-27”),24,793.418,24,793.42],[new Date(“2013-09-28”),24,802.934,24,802.93],[new Date(“2013-09-29”),24,786.484,24,786.48],[new Date(“2013-09-30″),24,773.984,24,773.98],]);var options = {
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title: ‘Date’
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title: ‘Conversion Rate’
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‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_9’));
chart.draw(data, options);
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August, 2013

01      12,239.2238
02      24,776.0010
↘12,536.777, 102.43%
03      24,804.0844
↘28.083, 0.11%
04      24,745.9844
↗58.100, 0.23%
05      24,754.8177
↘8.833, 0.04%
06      24,778.6510
↘23.833, 0.10%
07      24,779.6177
↘0.967, 0.00%
08      24,771.3844
↗8.233, 0.03%
09      24,783.3844
↘12.000, 0.05%
10      24,788.5510
↘5.167, 0.02%
11      24,815.9844
↘27.433, 0.11%
12      24,805.6510
↗10.333, 0.04%
13      24,824.2844
↘18.633, 0.08%
14      24,794.3844
↗29.900, 0.12%
15      24,773.3177
↗21.067, 0.08%
16      24,796.4010
↘23.083, 0.09%
17      24,776.3510
↗20.050, 0.08%
18      24,805.3177
↘28.967, 0.12%
19      24,820.3177
↘15.000, 0.06%
20      24,778.8177
↗41.500, 0.17%
21      24,832.5510
↘53.733, 0.22%
22      24,760.4177
↗72.133, 0.29%
23      24,814.8010
↘54.383, 0.22%
24      24,784.7677
↗30.033, 0.12%
25      24,786.6510
↘1.883, 0.01%
26      24,785.1510
↗1.500, 0.01%
27      24,780.1510
↗5.000, 0.02%
28      24,812.1510
↘32.000, 0.13%
29      24,809.7510
↗2.400, 0.01%
30      24,814.6844
↘4.933, 0.02%
31      24,820.3844
↘5.700, 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(“2013-08-01”),12,239.224,12,239.22],[new Date(“2013-08-02”),24,776.001,24,776.00],[new Date(“2013-08-03”),24,804.084,24,804.08],[new Date(“2013-08-04”),24,745.984,24,745.98],[new Date(“2013-08-05”),24,754.818,24,754.82],[new Date(“2013-08-06”),24,778.651,24,778.65],[new Date(“2013-08-07”),24,779.618,24,779.62],[new Date(“2013-08-08”),24,771.384,24,771.38],[new Date(“2013-08-09”),24,783.384,24,783.38],[new Date(“2013-08-10”),24,788.551,24,788.55],[new Date(“2013-08-11”),24,815.984,24,815.98],[new Date(“2013-08-12”),24,805.651,24,805.65],[new Date(“2013-08-13”),24,824.284,24,824.28],[new Date(“2013-08-14”),24,794.384,24,794.38],[new Date(“2013-08-15”),24,773.318,24,773.32],[new Date(“2013-08-16”),24,796.401,24,796.40],[new Date(“2013-08-17”),24,776.351,24,776.35],[new Date(“2013-08-18”),24,805.318,24,805.32],[new Date(“2013-08-19”),24,820.318,24,820.32],[new Date(“2013-08-20”),24,778.818,24,778.82],[new Date(“2013-08-21”),24,832.551,24,832.55],[new Date(“2013-08-22”),24,760.418,24,760.42],[new Date(“2013-08-23”),24,814.801,24,814.80],[new Date(“2013-08-24”),24,784.768,24,784.77],[new Date(“2013-08-25”),24,786.651,24,786.65],[new Date(“2013-08-26”),24,785.151,24,785.15],[new Date(“2013-08-27”),24,780.151,24,780.15],[new Date(“2013-08-28”),24,812.151,24,812.15],[new Date(“2013-08-29”),24,809.751,24,809.75],[new Date(“2013-08-30”),24,814.684,24,814.68],[new Date(“2013-08-31″),24,820.384,24,820.38],]);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      12,274.8333
02      12,305.0667
↘30.233, 0.25%
03      12,258.8167
↗46.250, 0.38%
04      12,316.5667
↘57.750, 0.47%
05      12,271.2667
↗45.300, 0.37%
06      12,298.1000
↘26.833, 0.22%
07      12,312.4000
↘14.300, 0.12%
08      12,292.3333
↗20.067, 0.16%
09      12,314.3000
↘21.967, 0.18%
10      12,223.5167
↗90.783, 0.74%
11      12,282.4000
↘58.883, 0.48%
12      12,253.2667
↗29.133, 0.24%
13      12,279.6833
↘26.417, 0.22%
14      12,264.9833
↗14.700, 0.12%
15      12,260.6667
↗4.317, 0.04%
16      12,266.3000
↘5.633, 0.05%
17      12,260.3000
↗6.000, 0.05%
18      12,261.5000
↘1.200, 0.01%
19      12,236.7762
↗24.724, 0.20%
20      12,236.7762
→0.000, 0.00%
21      12,236.7762
→0.000, 0.00%
22      12,239.2238
↘2.448, 0.02%
23      12,236.7762
↗2.448, 0.02%
24      12,236.7762
→0.000, 0.00%
25      12,236.7762
→0.000, 0.00%
26      12,236.7762
→0.000, 0.00%
27      12,239.2238
↘2.448, 0.02%
28      12,236.7762
↗2.448, 0.02%
29      12,239.2238
↘2.448, 0.02%
30      12,239.2238
→0.000, 0.00%
31      12,236.7762
↗2.448, 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(“2013-07-01”),12,274.833,12,274.83],[new Date(“2013-07-02”),12,305.067,12,305.07],[new Date(“2013-07-03”),12,258.817,12,258.82],[new Date(“2013-07-04”),12,316.567,12,316.57],[new Date(“2013-07-05”),12,271.267,12,271.27],[new Date(“2013-07-06”),12,298.100,12,298.10],[new Date(“2013-07-07”),12,312.400,12,312.40],[new Date(“2013-07-08”),12,292.333,12,292.33],[new Date(“2013-07-09”),12,314.300,12,314.30],[new Date(“2013-07-10”),12,223.517,12,223.52],[new Date(“2013-07-11”),12,282.400,12,282.40],[new Date(“2013-07-12”),12,253.267,12,253.27],[new Date(“2013-07-13”),12,279.683,12,279.68],[new Date(“2013-07-14”),12,264.983,12,264.98],[new Date(“2013-07-15”),12,260.667,12,260.67],[new Date(“2013-07-16”),12,266.300,12,266.30],[new Date(“2013-07-17”),12,260.300,12,260.30],[new Date(“2013-07-18”),12,261.500,12,261.50],[new Date(“2013-07-19”),12,236.776,12,236.78],[new Date(“2013-07-20”),12,236.776,12,236.78],[new Date(“2013-07-21”),12,236.776,12,236.78],[new Date(“2013-07-22”),12,239.224,12,239.22],[new Date(“2013-07-23”),12,236.776,12,236.78],[new Date(“2013-07-24”),12,236.776,12,236.78],[new Date(“2013-07-25”),12,236.776,12,236.78],[new Date(“2013-07-26”),12,236.776,12,236.78],[new Date(“2013-07-27”),12,239.224,12,239.22],[new Date(“2013-07-28”),12,236.776,12,236.78],[new Date(“2013-07-29”),12,239.224,12,239.22],[new Date(“2013-07-30”),12,239.224,12,239.22],[new Date(“2013-07-31″),12,236.776,12,236.78],]);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      12,268.4000
02      12,277.0000
↘8.600, 0.07%
03      12,260.0000
↗17.000, 0.14%
04      12,279.7333
↘19.733, 0.16%
05      12,260.5000
↗19.233, 0.16%
06      12,239.8667
↗20.633, 0.17%
07      12,273.7667
↘33.900, 0.28%
08      12,254.7667
↗19.000, 0.15%
09      12,297.8667
↘43.100, 0.35%
10      12,281.6667
↗16.200, 0.13%
11      12,274.7333
↗6.933, 0.06%
12      12,255.6500
↗19.083, 0.16%
13      12,259.7500
↘4.100, 0.03%
14      12,268.0500
↘8.300, 0.07%
15      12,270.9333
↘2.883, 0.02%
16      12,263.0667
↗7.867, 0.06%
17      12,264.1667
↘1.100, 0.01%
18      12,271.0000
↘6.833, 0.06%
19      12,308.5000
↘37.500, 0.31%
20      12,269.8000
↗38.700, 0.31%
21      12,297.8500
↘28.050, 0.23%
22      12,273.8333
↗24.017, 0.20%
23      12,336.7000
↘62.867, 0.51%
24      12,309.5000
↗27.200, 0.22%
25      12,314.3667
↘4.867, 0.04%
26      12,281.4000
↗32.967, 0.27%
27      12,281.7333
↘0.333, 0.00%
28      12,280.7833
↗0.950, 0.01%
29      12,276.8667
↗3.917, 0.03%
30      12,317.0000
↘40.133, 0.33%
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”),12,268.400,12,268.40],[new Date(“2013-06-02”),12,277.000,12,277.00],[new Date(“2013-06-03”),12,260.000,12,260.00],[new Date(“2013-06-04”),12,279.733,12,279.73],[new Date(“2013-06-05”),12,260.500,12,260.50],[new Date(“2013-06-06”),12,239.867,12,239.87],[new Date(“2013-06-07”),12,273.767,12,273.77],[new Date(“2013-06-08”),12,254.767,12,254.77],[new Date(“2013-06-09”),12,297.867,12,297.87],[new Date(“2013-06-10”),12,281.667,12,281.67],[new Date(“2013-06-11”),12,274.733,12,274.73],[new Date(“2013-06-12”),12,255.650,12,255.65],[new Date(“2013-06-13”),12,259.750,12,259.75],[new Date(“2013-06-14”),12,268.050,12,268.05],[new Date(“2013-06-15”),12,270.933,12,270.93],[new Date(“2013-06-16”),12,263.067,12,263.07],[new Date(“2013-06-17”),12,264.167,12,264.17],[new Date(“2013-06-18”),12,271.000,12,271.00],[new Date(“2013-06-19”),12,308.500,12,308.50],[new Date(“2013-06-20”),12,269.800,12,269.80],[new Date(“2013-06-21”),12,297.850,12,297.85],[new Date(“2013-06-22”),12,273.833,12,273.83],[new Date(“2013-06-23”),12,336.700,12,336.70],[new Date(“2013-06-24”),12,309.500,12,309.50],[new Date(“2013-06-25”),12,314.367,12,314.37],[new Date(“2013-06-26”),12,281.400,12,281.40],[new Date(“2013-06-27”),12,281.733,12,281.73],[new Date(“2013-06-28”),12,280.783,12,280.78],[new Date(“2013-06-29”),12,276.867,12,276.87],[new Date(“2013-06-30″),12,317.000,12,317.00],]);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      12,284.9333
02      12,297.5833
↘12.650, 0.10%
03      12,285.7333
↗11.850, 0.10%
04      12,300.9000
↘15.167, 0.12%
05      12,281.2667
↗19.633, 0.16%
06      12,290.0000
↘8.733, 0.07%
07      12,291.8333
↘1.833, 0.01%
08      12,274.7333
↗17.100, 0.14%
09      12,322.9667
↘48.233, 0.39%
10      12,270.8667
↗52.100, 0.42%
11      12,293.9167
↘23.050, 0.19%
12      12,285.1667
↗8.750, 0.07%
13      12,284.5000
↗0.667, 0.01%
14      12,294.7000
↘10.200, 0.08%
15      12,274.3500
↗20.350, 0.17%
16      12,279.6333
↘5.283, 0.04%
17      12,276.0667
↗3.567, 0.03%
18      12,276.0667
→0.000, 0.00%
19      12,293.5833
↘17.517, 0.14%
20      12,279.0833
↗14.500, 0.12%
21      12,267.3333
↗11.750, 0.10%
22      12,300.7667
↘33.433, 0.27%
23      12,258.6000
↗42.167, 0.34%
24      12,293.5000
↘34.900, 0.28%
25      12,269.7500
↗23.750, 0.19%
26      12,297.3333
↘27.583, 0.22%
27      12,288.5000
↗8.833, 0.07%
28      12,303.8333
↘15.333, 0.12%
29      12,278.2000
↗25.633, 0.21%
30      12,271.8500
↗6.350, 0.05%
31      12,278.0333
↘6.183, 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(“2013-05-01”),12,284.933,12,284.93],[new Date(“2013-05-02”),12,297.583,12,297.58],[new Date(“2013-05-03”),12,285.733,12,285.73],[new Date(“2013-05-04”),12,300.900,12,300.90],[new Date(“2013-05-05”),12,281.267,12,281.27],[new Date(“2013-05-06”),12,290.000,12,290.00],[new Date(“2013-05-07”),12,291.833,12,291.83],[new Date(“2013-05-08”),12,274.733,12,274.73],[new Date(“2013-05-09”),12,322.967,12,322.97],[new Date(“2013-05-10”),12,270.867,12,270.87],[new Date(“2013-05-11”),12,293.917,12,293.92],[new Date(“2013-05-12”),12,285.167,12,285.17],[new Date(“2013-05-13”),12,284.500,12,284.50],[new Date(“2013-05-14”),12,294.700,12,294.70],[new Date(“2013-05-15”),12,274.350,12,274.35],[new Date(“2013-05-16”),12,279.633,12,279.63],[new Date(“2013-05-17”),12,276.067,12,276.07],[new Date(“2013-05-18”),12,276.067,12,276.07],[new Date(“2013-05-19”),12,293.583,12,293.58],[new Date(“2013-05-20”),12,279.083,12,279.08],[new Date(“2013-05-21”),12,267.333,12,267.33],[new Date(“2013-05-22”),12,300.767,12,300.77],[new Date(“2013-05-23”),12,258.600,12,258.60],[new Date(“2013-05-24”),12,293.500,12,293.50],[new Date(“2013-05-25”),12,269.750,12,269.75],[new Date(“2013-05-26”),12,297.333,12,297.33],[new Date(“2013-05-27”),12,288.500,12,288.50],[new Date(“2013-05-28”),12,303.833,12,303.83],[new Date(“2013-05-29”),12,278.200,12,278.20],[new Date(“2013-05-30”),12,271.850,12,271.85],[new Date(“2013-05-31″),12,278.033,12,278.03],]);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      12,271.6667
02      12,279.8333
↘8.167, 0.07%
03      12,271.8333
↗8.000, 0.07%
04      12,241.9667
↗29.867, 0.24%
05      12,275.0667
↘33.100, 0.27%
06      12,256.5833
↗18.483, 0.15%
07      12,234.5833
↗22.000, 0.18%
08      12,270.7500
↘36.167, 0.30%
09      12,266.0000
↗4.750, 0.04%
10      12,290.3667
↘24.367, 0.20%
11      12,278.5000
↗11.867, 0.10%
12      12,285.1333
↘6.633, 0.05%
13      12,284.9833
↗0.150, 0.00%
14      12,251.0000
↗33.983, 0.28%
15      12,275.8333
↘24.833, 0.20%
16      12,255.2833
↗20.550, 0.17%
17      12,316.4833
↘61.200, 0.50%
18      12,292.4333
↗24.050, 0.20%
19      12,299.1667
↘6.733, 0.05%
20      12,286.9333
↗12.233, 0.10%
21      12,302.6667
↘15.733, 0.13%
22      12,283.3333
↗19.333, 0.16%
23      12,272.2000
↗11.133, 0.09%
24      12,275.1167
↘2.917, 0.02%
25      12,296.4333
↘21.317, 0.17%
26      12,283.3000
↗13.133, 0.11%
27      12,292.6667
↘9.367, 0.08%
28      12,264.6667
↗28.000, 0.23%
29      12,267.8333
↘3.167, 0.03%
30      12,251.3333
↗16.500, 0.13%
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”),12,271.667,12,271.67],[new Date(“2013-04-02”),12,279.833,12,279.83],[new Date(“2013-04-03”),12,271.833,12,271.83],[new Date(“2013-04-04”),12,241.967,12,241.97],[new Date(“2013-04-05”),12,275.067,12,275.07],[new Date(“2013-04-06”),12,256.583,12,256.58],[new Date(“2013-04-07”),12,234.583,12,234.58],[new Date(“2013-04-08”),12,270.750,12,270.75],[new Date(“2013-04-09”),12,266.000,12,266.00],[new Date(“2013-04-10”),12,290.367,12,290.37],[new Date(“2013-04-11”),12,278.500,12,278.50],[new Date(“2013-04-12”),12,285.133,12,285.13],[new Date(“2013-04-13”),12,284.983,12,284.98],[new Date(“2013-04-14”),12,251.000,12,251.00],[new Date(“2013-04-15”),12,275.833,12,275.83],[new Date(“2013-04-16”),12,255.283,12,255.28],[new Date(“2013-04-17”),12,316.483,12,316.48],[new Date(“2013-04-18”),12,292.433,12,292.43],[new Date(“2013-04-19”),12,299.167,12,299.17],[new Date(“2013-04-20”),12,286.933,12,286.93],[new Date(“2013-04-21”),12,302.667,12,302.67],[new Date(“2013-04-22”),12,283.333,12,283.33],[new Date(“2013-04-23”),12,272.200,12,272.20],[new Date(“2013-04-24”),12,275.117,12,275.12],[new Date(“2013-04-25”),12,296.433,12,296.43],[new Date(“2013-04-26”),12,283.300,12,283.30],[new Date(“2013-04-27”),12,292.667,12,292.67],[new Date(“2013-04-28”),12,264.667,12,264.67],[new Date(“2013-04-29”),12,267.833,12,267.83],[new Date(“2013-04-30″),12,251.333,12,251.33],]);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      12,279.1600
02      12,291.0850
↘11.925, 0.10%
03      12,280.6300
↗10.455, 0.09%
04      12,267.0150
↗13.615, 0.11%
05      12,271.9300
↘4.915, 0.04%
06      12,307.7100
↘35.780, 0.29%
07      12,238.3750
↗69.335, 0.56%
08      12,313.9800
↘75.605, 0.62%
09      12,293.3300
↗20.650, 0.17%
10      12,355.9750
↘62.645, 0.51%
11      12,263.1400
↗92.835, 0.75%
12      12,269.4525
↘6.313, 0.05%
13      12,296.8700
↘27.418, 0.22%
14      12,235.0275
↗61.843, 0.50%
15      12,285.3450
↘50.317, 0.41%
16      12,272.5950
↗12.750, 0.10%
17      12,306.9000
↘34.305, 0.28%
18      12,271.6700
↗35.230, 0.29%
19      12,316.9075
↘45.237, 0.37%
20      12,265.7575
↗51.150, 0.42%
21      12,301.4200
↘35.663, 0.29%
22      12,265.4000
↗36.020, 0.29%
23      12,271.9000
↘6.500, 0.05%
24      12,253.6475
↗18.253, 0.15%
25      12,346.3450
↘92.698, 0.76%
26      12,272.1300
↗74.215, 0.60%
27      12,294.4925
↘22.363, 0.18%
28      12,276.9400
↗17.552, 0.14%
29      12,274.7525
↗2.188, 0.02%
30      12,276.3333
↘1.581, 0.01%
31      12,271.6667
↗4.667, 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(“2013-03-01”),12,279.160,12,279.16],[new Date(“2013-03-02”),12,291.085,12,291.09],[new Date(“2013-03-03”),12,280.630,12,280.63],[new Date(“2013-03-04”),12,267.015,12,267.02],[new Date(“2013-03-05”),12,271.930,12,271.93],[new Date(“2013-03-06”),12,307.710,12,307.71],[new Date(“2013-03-07”),12,238.375,12,238.38],[new Date(“2013-03-08”),12,313.980,12,313.98],[new Date(“2013-03-09”),12,293.330,12,293.33],[new Date(“2013-03-10”),12,355.975,12,355.98],[new Date(“2013-03-11”),12,263.140,12,263.14],[new Date(“2013-03-12”),12,269.453,12,269.45],[new Date(“2013-03-13”),12,296.870,12,296.87],[new Date(“2013-03-14”),12,235.028,12,235.03],[new Date(“2013-03-15”),12,285.345,12,285.35],[new Date(“2013-03-16”),12,272.595,12,272.60],[new Date(“2013-03-17”),12,306.900,12,306.90],[new Date(“2013-03-18”),12,271.670,12,271.67],[new Date(“2013-03-19”),12,316.908,12,316.91],[new Date(“2013-03-20”),12,265.758,12,265.76],[new Date(“2013-03-21”),12,301.420,12,301.42],[new Date(“2013-03-22”),12,265.400,12,265.40],[new Date(“2013-03-23”),12,271.900,12,271.90],[new Date(“2013-03-24”),12,253.648,12,253.65],[new Date(“2013-03-25”),12,346.345,12,346.35],[new Date(“2013-03-26”),12,272.130,12,272.13],[new Date(“2013-03-27”),12,294.493,12,294.49],[new Date(“2013-03-28”),12,276.940,12,276.94],[new Date(“2013-03-29”),12,274.753,12,274.75],[new Date(“2013-03-30”),12,276.333,12,276.33],[new Date(“2013-03-31″),12,271.667,12,271.67],]);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      12,275.2875
02      12,274.2250
↗1.063, 0.01%
03      12,275.5875
↘1.362, 0.01%
04      12,299.3675
↘23.780, 0.19%
05      12,267.7000
↗31.667, 0.26%
06      12,292.2775
↘24.577, 0.20%
07      12,357.8200
↘65.542, 0.53%
08      12,290.9500
↗66.870, 0.54%
09      12,312.7250
↘21.775, 0.18%
10      12,310.7950
↗1.930, 0.02%
11      12,273.1275
↗37.667, 0.31%
12      12,272.9325
↗0.195, 0.00%
13      12,296.4675
↘23.535, 0.19%
14      12,263.2350
↗33.233, 0.27%
15      12,279.4475
↘16.212, 0.13%
16      12,269.0975
↗10.350, 0.08%
17      12,260.6200
↗8.477, 0.07%
18      12,280.2300
↘19.610, 0.16%
19      12,256.3250
↗23.905, 0.19%
20      12,321.3800
↘65.055, 0.53%
21      12,269.2875
↗52.092, 0.42%
22      12,289.2500
↘19.962, 0.16%
23      12,272.7875
↗16.462, 0.13%
24      12,264.8325
↗7.955, 0.06%
25      12,377.6775
↘112.845, 0.92%
26      12,285.5625
↗92.115, 0.74%
27      12,295.1975
↘9.635, 0.08%
28      12,311.0525
↘15.855, 0.13%
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”),12,275.288,12,275.29],[new Date(“2013-02-02”),12,274.225,12,274.23],[new Date(“2013-02-03”),12,275.588,12,275.59],[new Date(“2013-02-04”),12,299.368,12,299.37],[new Date(“2013-02-05”),12,267.700,12,267.70],[new Date(“2013-02-06”),12,292.278,12,292.28],[new Date(“2013-02-07”),12,357.820,12,357.82],[new Date(“2013-02-08”),12,290.950,12,290.95],[new Date(“2013-02-09”),12,312.725,12,312.73],[new Date(“2013-02-10”),12,310.795,12,310.80],[new Date(“2013-02-11”),12,273.128,12,273.13],[new Date(“2013-02-12”),12,272.933,12,272.93],[new Date(“2013-02-13”),12,296.468,12,296.47],[new Date(“2013-02-14”),12,263.235,12,263.24],[new Date(“2013-02-15”),12,279.448,12,279.45],[new Date(“2013-02-16”),12,269.098,12,269.10],[new Date(“2013-02-17”),12,260.620,12,260.62],[new Date(“2013-02-18”),12,280.230,12,280.23],[new Date(“2013-02-19”),12,256.325,12,256.33],[new Date(“2013-02-20”),12,321.380,12,321.38],[new Date(“2013-02-21”),12,269.288,12,269.29],[new Date(“2013-02-22”),12,289.250,12,289.25],[new Date(“2013-02-23”),12,272.788,12,272.79],[new Date(“2013-02-24”),12,264.833,12,264.83],[new Date(“2013-02-25”),12,377.678,12,377.68],[new Date(“2013-02-26”),12,285.563,12,285.56],[new Date(“2013-02-27”),12,295.198,12,295.20],[new Date(“2013-02-28″),12,311.053,12,311.05],]);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      12,263.7175
02      12,299.9600
↘36.242, 0.30%
03      12,304.5875
↘4.628, 0.04%
04      12,270.1000
↗34.487, 0.28%
05      12,270.2500
↘0.150, 0.00%
06      12,231.1375
↗39.112, 0.32%
07      12,223.4225
↗7.715, 0.06%
08      12,290.7875
↘67.365, 0.55%
09      12,265.8150
↗24.972, 0.20%
10      12,206.9900
↗58.825, 0.48%
11      12,258.1425
↘51.153, 0.42%
12      12,235.8175
↗22.325, 0.18%
13      12,213.1625
↗22.655, 0.19%
14      12,251.2000
↘38.038, 0.31%
15      12,287.4400
↘36.240, 0.30%
16      12,291.2400
↘3.800, 0.03%
17      12,279.3100
↗11.930, 0.10%
18      12,292.8700
↘13.560, 0.11%
19      12,287.1950
↗5.675, 0.05%
20      12,303.1425
↘15.948, 0.13%
21      12,285.8275
↗17.315, 0.14%
22      12,294.2000
↘8.373, 0.07%
23      12,290.5475
↗3.653, 0.03%
24      12,259.3375
↗31.210, 0.25%
25      12,273.9650
↘14.628, 0.12%
26      12,263.8650
↗10.100, 0.08%
27      12,259.2000
↗4.665, 0.04%
28      12,267.8300
↘8.630, 0.07%
29      12,249.6925
↗18.138, 0.15%
30      12,267.4475
↘17.755, 0.14%
31      12,260.9525
↗6.495, 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(“2013-01-01”),12,263.718,12,263.72],[new Date(“2013-01-02”),12,299.960,12,299.96],[new Date(“2013-01-03”),12,304.588,12,304.59],[new Date(“2013-01-04”),12,270.100,12,270.10],[new Date(“2013-01-05”),12,270.250,12,270.25],[new Date(“2013-01-06”),12,231.138,12,231.14],[new Date(“2013-01-07”),12,223.423,12,223.42],[new Date(“2013-01-08”),12,290.788,12,290.79],[new Date(“2013-01-09”),12,265.815,12,265.82],[new Date(“2013-01-10”),12,206.990,12,206.99],[new Date(“2013-01-11”),12,258.143,12,258.14],[new Date(“2013-01-12”),12,235.818,12,235.82],[new Date(“2013-01-13”),12,213.163,12,213.16],[new Date(“2013-01-14”),12,251.200,12,251.20],[new Date(“2013-01-15”),12,287.440,12,287.44],[new Date(“2013-01-16”),12,291.240,12,291.24],[new Date(“2013-01-17”),12,279.310,12,279.31],[new Date(“2013-01-18”),12,292.870,12,292.87],[new Date(“2013-01-19”),12,287.195,12,287.20],[new Date(“2013-01-20”),12,303.143,12,303.14],[new Date(“2013-01-21”),12,285.828,12,285.83],[new Date(“2013-01-22”),12,294.200,12,294.20],[new Date(“2013-01-23”),12,290.548,12,290.55],[new Date(“2013-01-24”),12,259.338,12,259.34],[new Date(“2013-01-25”),12,273.965,12,273.97],[new Date(“2013-01-26”),12,263.865,12,263.87],[new Date(“2013-01-27”),12,259.200,12,259.20],[new Date(“2013-01-28”),12,267.830,12,267.83],[new Date(“2013-01-29”),12,249.693,12,249.69],[new Date(“2013-01-30”),12,267.448,12,267.45],[new Date(“2013-01-31″),12,260.953,12,260.95],]);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_1’));
chart.draw(data, options);
}