Chinese Yuan CNY 2013 Conversion Rates
- Opening Value is 6.250674 CNY per Dollar
- Closing Value is 6.065775 CNY per Dollar
- Change in Value during 2013 is -0.1849 which is -2.96%
- Best Performance is on 2013-12-31 with 6.065775 CNY per Dollar
- Lowest Performance is on 2013-03-17 with 6.255511 CNY per Dollar
- Average Value is 6.1591 CNY per Dollar
- Swing Between the higest and the lowest is 0.1897 per Dollar, that is 3.04% compared to the opening value.
USD to CNY Conversion Rates – 12 months
| Date | 1 USD = |
|---|---|
| 2013-12-31 | 6.0658 CNY |
| 2013-11-30 | 6.1004 CNY |
| 2013-10-31 | 6.1084 CNY |
| 2013-09-30 | 6.1247 CNY |
| 2013-08-31 | 6.1270 CNY |
| 2013-07-31 | 6.1393 CNY |
| 2013-06-30 | 6.1551 CNY |
| 2013-05-31 | 6.1448 CNY |
| 2013-04-30 | 6.1758 CNY |
| 2013-03-31 | 6.2260 CNY |
| 2013-02-28 | 6.2354 CNY |
| 2013-01-31 | 6.2335 CNY |
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data.addColumn(“number”, “Conversion Rate”);
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chart.draw(data, options);
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December, 2013
01 6.1006
02 6.1002
↗0.000, 0.01%
03 6.0996
↗0.001, 0.01%
04 6.0991
↗0.001, 0.01%
05 6.0984
↗0.001, 0.01%
06 6.0913
↗0.007, 0.12%
07 6.0902
↗0.001, 0.02%
08 6.0892
↗0.001, 0.02%
09 6.0814
↗0.008, 0.13%
10 6.0791
↗0.002, 0.04%
11 6.0790
↗0.000, 0.00%
12 6.0791
↘0.000, 0.00%
13 6.0796
↘0.001, 0.01%
14 6.0803
↘0.001, 0.01%
15 6.0798
↗0.000, 0.01%
16 6.0879
↘0.008, 0.13%
17 6.0877
↗0.000, 0.00%
18 6.0879
↘0.000, 0.00%
19 6.0797
↗0.008, 0.13%
20 6.0988
↘0.019, 0.31%
21 6.0990
↘0.000, 0.00%
22 6.0804
↗0.019, 0.30%
23 6.0799
↗0.000, 0.01%
24 6.0803
↘0.000, 0.01%
25 6.0807
↘0.000, 0.01%
26 6.0818
↘0.001, 0.02%
27 6.0805
↗0.001, 0.02%
28 6.0794
↗0.001, 0.02%
29 6.0780
↗0.001, 0.02%
30 6.0725
↗0.006, 0.09%
31 6.0658
↗0.007, 0.11%
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November, 2013
01 6.1034
02 6.1037
↘0.000, 0.01%
03 6.1037
↘0.000, 0.00%
04 6.1046
↘0.001, 0.01%
05 6.1150
↘0.010, 0.17%
06 6.1118
↗0.003, 0.05%
07 6.1111
↗0.001, 0.01%
08 6.1189
↘0.008, 0.13%
09 6.1179
↗0.001, 0.02%
10 6.0990
↗0.019, 0.31%
11 6.1088
↘0.010, 0.16%
12 6.1091
↘0.000, 0.01%
13 6.1090
↗0.000, 0.00%
14 6.1091
↘0.000, 0.00%
15 6.1155
↘0.006, 0.10%
16 6.1158
↘0.000, 0.00%
17 6.1077
↗0.008, 0.13%
18 6.1072
↗0.000, 0.01%
19 6.1075
↘0.000, 0.00%
20 6.1067
↗0.001, 0.01%
21 6.1066
↗0.000, 0.00%
22 6.1180
↘0.011, 0.19%
23 6.1183
↘0.000, 0.00%
24 6.1009
↗0.017, 0.29%
25 6.1003
↗0.001, 0.01%
26 6.0999
↗0.000, 0.01%
27 6.1001
↘0.000, 0.00%
28 6.0999
↗0.000, 0.00%
29 6.1005
↘0.001, 0.01%
30 6.1004
↗0.000, 0.00%
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October, 2013
01 6.1253
02 6.1246
↗0.001, 0.01%
03 6.1241
↗0.001, 0.01%
04 6.1304
↘0.006, 0.10%
05 6.1300
↗0.000, 0.01%
06 6.1269
↗0.003, 0.05%
07 6.1235
↗0.003, 0.06%
08 6.1237
↘0.000, 0.00%
09 6.1232
↗0.001, 0.01%
10 6.1196
↗0.004, 0.06%
11 6.1214
↘0.002, 0.03%
12 6.1206
↗0.001, 0.01%
13 6.1220
↘0.001, 0.02%
14 6.1123
↗0.010, 0.16%
15 6.1065
↗0.006, 0.10%
16 6.1041
↗0.002, 0.04%
17 6.1028
↗0.001, 0.02%
18 6.1155
↘0.013, 0.21%
19 6.1151
↗0.000, 0.01%
20 6.1083
↗0.007, 0.11%
21 6.0983
↗0.010, 0.16%
22 6.0984
↘0.000, 0.00%
23 6.0914
↗0.007, 0.11%
24 6.0887
↗0.003, 0.04%
25 6.0904
↘0.002, 0.03%
26 6.0901
↗0.000, 0.00%
27 6.0901
↗0.000, 0.00%
28 6.0916
↘0.001, 0.02%
29 6.1031
↘0.011, 0.19%
30 6.1067
↘0.004, 0.06%
31 6.1084
↘0.002, 0.03%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
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September, 2013
01 6.1273
02 6.1273
↗0.000, 0.00%
03 6.1276
↘0.000, 0.00%
04 6.1276
↘0.000, 0.00%
05 6.1276
↘0.000, 0.00%
06 6.1283
↘0.001, 0.01%
07 6.1285
↘0.000, 0.00%
08 6.1282
↗0.000, 0.00%
09 6.1289
↘0.001, 0.01%
10 6.1273
↗0.002, 0.03%
11 6.1256
↗0.002, 0.03%
12 6.1246
↗0.001, 0.02%
13 6.1246
↗0.000, 0.00%
14 6.1244
↗0.000, 0.00%
15 6.1242
↗0.000, 0.00%
16 6.1254
↘0.001, 0.02%
17 6.1257
↘0.000, 0.01%
18 6.1259
↘0.000, 0.00%
19 6.1256
↗0.000, 0.00%
20 6.1243
↗0.001, 0.02%
21 6.1246
↘0.000, 0.00%
22 6.1247
↘0.000, 0.00%
23 6.1245
↗0.000, 0.00%
24 6.1238
↗0.001, 0.01%
25 6.1236
↗0.000, 0.00%
26 6.1248
↘0.001, 0.02%
27 6.1235
↗0.001, 0.02%
28 6.1236
↘0.000, 0.00%
29 6.1235
↗0.000, 0.00%
30 6.1247
↘0.001, 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”);
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‘legend’: {‘position’: ‘none’},
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var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_9’));
chart.draw(data, options);
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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”),6.127,6.13],[new Date(“2013-09-02”),6.127,6.13],[new Date(“2013-09-03”),6.128,6.13],[new Date(“2013-09-04”),6.128,6.13],[new Date(“2013-09-05”),6.128,6.13],[new Date(“2013-09-06”),6.128,6.13],[new Date(“2013-09-07”),6.129,6.13],[new Date(“2013-09-08”),6.128,6.13],[new Date(“2013-09-09”),6.129,6.13],[new Date(“2013-09-10”),6.127,6.13],[new Date(“2013-09-11”),6.126,6.13],[new Date(“2013-09-12”),6.125,6.12],[new Date(“2013-09-13”),6.125,6.12],[new Date(“2013-09-14”),6.124,6.12],[new Date(“2013-09-15”),6.124,6.12],[new Date(“2013-09-16”),6.125,6.13],[new Date(“2013-09-17”),6.126,6.13],[new Date(“2013-09-18”),6.126,6.13],[new Date(“2013-09-19”),6.126,6.13],[new Date(“2013-09-20”),6.124,6.12],[new Date(“2013-09-21”),6.125,6.12],[new Date(“2013-09-22”),6.125,6.12],[new Date(“2013-09-23”),6.125,6.12],[new Date(“2013-09-24”),6.124,6.12],[new Date(“2013-09-25”),6.124,6.12],[new Date(“2013-09-26”),6.125,6.12],[new Date(“2013-09-27”),6.124,6.12],[new Date(“2013-09-28”),6.124,6.12],[new Date(“2013-09-29”),6.124,6.12],[new Date(“2013-09-30″),6.125,6.12],]);var options = {
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vAxis: {
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‘colors’:[”]
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var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_9’));
chart.draw(data, options);
}
August, 2013
01 6.1411
02 6.1381
↗0.003, 0.05%
03 6.1376
↗0.000, 0.01%
04 6.1374
↗0.000, 0.00%
05 6.1340
↗0.003, 0.06%
06 6.1300
↗0.004, 0.06%
07 6.1286
↗0.001, 0.02%
08 6.1286
↗0.000, 0.00%
09 6.1292
↘0.001, 0.01%
10 6.1288
↗0.000, 0.01%
11 6.1290
↘0.000, 0.00%
12 6.1291
↘0.000, 0.00%
13 6.1288
↗0.000, 0.00%
14 6.1273
↗0.002, 0.02%
15 6.1218
↗0.005, 0.09%
16 6.1225
↘0.001, 0.01%
17 6.1221
↗0.000, 0.01%
18 6.1221
↗0.000, 0.00%
19 6.1293
↘0.007, 0.12%
20 6.1313
↘0.002, 0.03%
21 6.1302
↗0.001, 0.02%
22 6.1279
↗0.002, 0.04%
23 6.1281
↘0.000, 0.00%
24 6.1277
↗0.000, 0.01%
25 6.1276
↗0.000, 0.00%
26 6.1276
↘0.000, 0.00%
27 6.1279
↘0.000, 0.00%
28 6.1271
↗0.001, 0.01%
29 6.1273
↘0.000, 0.00%
30 6.1269
↗0.000, 0.01%
31 6.1270
↘0.000, 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(“2013-08-01”),6.141,6.14],[new Date(“2013-08-02”),6.138,6.14],[new Date(“2013-08-03”),6.138,6.14],[new Date(“2013-08-04”),6.137,6.14],[new Date(“2013-08-05”),6.134,6.13],[new Date(“2013-08-06”),6.130,6.13],[new Date(“2013-08-07”),6.129,6.13],[new Date(“2013-08-08”),6.129,6.13],[new Date(“2013-08-09”),6.129,6.13],[new Date(“2013-08-10”),6.129,6.13],[new Date(“2013-08-11”),6.129,6.13],[new Date(“2013-08-12”),6.129,6.13],[new Date(“2013-08-13”),6.129,6.13],[new Date(“2013-08-14”),6.127,6.13],[new Date(“2013-08-15”),6.122,6.12],[new Date(“2013-08-16”),6.123,6.12],[new Date(“2013-08-17”),6.122,6.12],[new Date(“2013-08-18”),6.122,6.12],[new Date(“2013-08-19”),6.129,6.13],[new Date(“2013-08-20”),6.131,6.13],[new Date(“2013-08-21”),6.130,6.13],[new Date(“2013-08-22”),6.128,6.13],[new Date(“2013-08-23”),6.128,6.13],[new Date(“2013-08-24”),6.128,6.13],[new Date(“2013-08-25”),6.128,6.13],[new Date(“2013-08-26”),6.128,6.13],[new Date(“2013-08-27”),6.128,6.13],[new Date(“2013-08-28”),6.127,6.13],[new Date(“2013-08-29”),6.127,6.13],[new Date(“2013-08-30”),6.127,6.13],[new Date(“2013-08-31″),6.127,6.13],]);var options = {
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var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_8’));
chart.draw(data, options);
}
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”),6.141,6.14],[new Date(“2013-08-02”),6.138,6.14],[new Date(“2013-08-03”),6.138,6.14],[new Date(“2013-08-04”),6.137,6.14],[new Date(“2013-08-05”),6.134,6.13],[new Date(“2013-08-06”),6.130,6.13],[new Date(“2013-08-07”),6.129,6.13],[new Date(“2013-08-08”),6.129,6.13],[new Date(“2013-08-09”),6.129,6.13],[new Date(“2013-08-10”),6.129,6.13],[new Date(“2013-08-11”),6.129,6.13],[new Date(“2013-08-12”),6.129,6.13],[new Date(“2013-08-13”),6.129,6.13],[new Date(“2013-08-14”),6.127,6.13],[new Date(“2013-08-15”),6.122,6.12],[new Date(“2013-08-16”),6.123,6.12],[new Date(“2013-08-17”),6.122,6.12],[new Date(“2013-08-18”),6.122,6.12],[new Date(“2013-08-19”),6.129,6.13],[new Date(“2013-08-20”),6.131,6.13],[new Date(“2013-08-21”),6.130,6.13],[new Date(“2013-08-22”),6.128,6.13],[new Date(“2013-08-23”),6.128,6.13],[new Date(“2013-08-24”),6.128,6.13],[new Date(“2013-08-25”),6.128,6.13],[new Date(“2013-08-26”),6.128,6.13],[new Date(“2013-08-27”),6.128,6.13],[new Date(“2013-08-28”),6.127,6.13],[new Date(“2013-08-29”),6.127,6.13],[new Date(“2013-08-30”),6.127,6.13],[new Date(“2013-08-31″),6.127,6.13],]);var options = {
hAxis: {
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vAxis: {
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‘colors’:[”]
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var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_8’));
chart.draw(data, options);
}
July, 2013
01 6.1428
02 6.1429
↘0.000, 0.00%
03 6.1409
↗0.002, 0.03%
04 6.1385
↗0.002, 0.04%
05 6.1615
↘0.023, 0.37%
06 6.1620
↘0.000, 0.01%
07 6.1532
↗0.009, 0.14%
08 6.1448
↗0.008, 0.14%
09 6.1411
↗0.004, 0.06%
10 6.1440
↘0.003, 0.05%
11 6.1447
↘0.001, 0.01%
12 6.1455
↘0.001, 0.01%
13 6.1462
↘0.001, 0.01%
14 6.1464
↘0.000, 0.00%
15 6.1523
↘0.006, 0.10%
16 6.1636
↘0.011, 0.18%
17 6.1440
↗0.020, 0.32%
18 6.1458
↘0.002, 0.03%
19 6.1459
↘0.000, 0.00%
20 6.1468
↘0.001, 0.01%
21 6.1467
↗0.000, 0.00%
22 6.1484
↘0.002, 0.03%
23 6.1453
↗0.003, 0.05%
24 6.1445
↗0.001, 0.01%
25 6.1439
↗0.001, 0.01%
26 6.1416
↗0.002, 0.04%
27 6.1407
↗0.001, 0.01%
28 6.1406
↗0.000, 0.00%
29 6.1413
↘0.001, 0.01%
30 6.1407
↗0.001, 0.01%
31 6.1393
↗0.001, 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”),6.143,6.14],[new Date(“2013-07-02”),6.143,6.14],[new Date(“2013-07-03”),6.141,6.14],[new Date(“2013-07-04”),6.138,6.14],[new Date(“2013-07-05”),6.161,6.16],[new Date(“2013-07-06”),6.162,6.16],[new Date(“2013-07-07”),6.153,6.15],[new Date(“2013-07-08”),6.145,6.14],[new Date(“2013-07-09”),6.141,6.14],[new Date(“2013-07-10”),6.144,6.14],[new Date(“2013-07-11”),6.145,6.14],[new Date(“2013-07-12”),6.146,6.15],[new Date(“2013-07-13”),6.146,6.15],[new Date(“2013-07-14”),6.146,6.15],[new Date(“2013-07-15”),6.152,6.15],[new Date(“2013-07-16”),6.164,6.16],[new Date(“2013-07-17”),6.144,6.14],[new Date(“2013-07-18”),6.146,6.15],[new Date(“2013-07-19”),6.146,6.15],[new Date(“2013-07-20”),6.147,6.15],[new Date(“2013-07-21”),6.147,6.15],[new Date(“2013-07-22”),6.148,6.15],[new Date(“2013-07-23”),6.145,6.15],[new Date(“2013-07-24”),6.144,6.14],[new Date(“2013-07-25”),6.144,6.14],[new Date(“2013-07-26”),6.142,6.14],[new Date(“2013-07-27”),6.141,6.14],[new Date(“2013-07-28”),6.141,6.14],[new Date(“2013-07-29”),6.141,6.14],[new Date(“2013-07-30”),6.141,6.14],[new Date(“2013-07-31″),6.139,6.14],]);var options = {
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var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_7’));
chart.draw(data, options);
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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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var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_7’));
chart.draw(data, options);
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June, 2013
01 6.1456
02 6.1457
↘0.000, 0.00%
03 6.1431
↗0.003, 0.04%
04 6.1396
↗0.004, 0.06%
05 6.1379
↗0.002, 0.03%
06 6.1448
↘0.007, 0.11%
07 6.1421
↗0.003, 0.04%
08 6.1411
↗0.001, 0.02%
09 6.1411
↗0.000, 0.00%
10 6.1412
↘0.000, 0.00%
11 6.1419
↘0.001, 0.01%
12 6.1417
↗0.000, 0.00%
13 6.1413
↗0.000, 0.01%
14 6.1383
↗0.003, 0.05%
15 6.1375
↗0.001, 0.01%
16 6.1377
↘0.000, 0.00%
17 6.1329
↗0.005, 0.08%
18 6.1345
↘0.002, 0.03%
19 6.1355
↘0.001, 0.02%
20 6.1377
↘0.002, 0.04%
21 6.1446
↘0.007, 0.11%
22 6.1451
↘0.001, 0.01%
23 6.1454
↘0.000, 0.00%
24 6.1546
↘0.009, 0.15%
25 6.1564
↘0.002, 0.03%
26 6.1800
↘0.024, 0.38%
27 6.1860
↘0.006, 0.10%
28 6.1739
↗0.012, 0.20%
29 6.1717
↗0.002, 0.04%
30 6.1551
↗0.017, 0.27%
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”),6.146,6.15],[new Date(“2013-06-02”),6.146,6.15],[new Date(“2013-06-03”),6.143,6.14],[new Date(“2013-06-04”),6.140,6.14],[new Date(“2013-06-05”),6.138,6.14],[new Date(“2013-06-06”),6.145,6.14],[new Date(“2013-06-07”),6.142,6.14],[new Date(“2013-06-08”),6.141,6.14],[new Date(“2013-06-09”),6.141,6.14],[new Date(“2013-06-10”),6.141,6.14],[new Date(“2013-06-11”),6.142,6.14],[new Date(“2013-06-12”),6.142,6.14],[new Date(“2013-06-13”),6.141,6.14],[new Date(“2013-06-14”),6.138,6.14],[new Date(“2013-06-15”),6.138,6.14],[new Date(“2013-06-16”),6.138,6.14],[new Date(“2013-06-17”),6.133,6.13],[new Date(“2013-06-18”),6.135,6.13],[new Date(“2013-06-19”),6.135,6.14],[new Date(“2013-06-20”),6.138,6.14],[new Date(“2013-06-21”),6.145,6.14],[new Date(“2013-06-22”),6.145,6.15],[new Date(“2013-06-23”),6.145,6.15],[new Date(“2013-06-24”),6.155,6.15],[new Date(“2013-06-25”),6.156,6.16],[new Date(“2013-06-26”),6.180,6.18],[new Date(“2013-06-27”),6.186,6.19],[new Date(“2013-06-28”),6.174,6.17],[new Date(“2013-06-29”),6.172,6.17],[new Date(“2013-06-30″),6.155,6.16],]);var options = {
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‘colors’:[”]
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var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_6’));
chart.draw(data, options);
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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”),6.146,6.15],[new Date(“2013-06-02”),6.146,6.15],[new Date(“2013-06-03”),6.143,6.14],[new Date(“2013-06-04”),6.140,6.14],[new Date(“2013-06-05”),6.138,6.14],[new Date(“2013-06-06”),6.145,6.14],[new Date(“2013-06-07”),6.142,6.14],[new Date(“2013-06-08”),6.141,6.14],[new Date(“2013-06-09”),6.141,6.14],[new Date(“2013-06-10”),6.141,6.14],[new Date(“2013-06-11”),6.142,6.14],[new Date(“2013-06-12”),6.142,6.14],[new Date(“2013-06-13”),6.141,6.14],[new Date(“2013-06-14”),6.138,6.14],[new Date(“2013-06-15”),6.138,6.14],[new Date(“2013-06-16”),6.138,6.14],[new Date(“2013-06-17”),6.133,6.13],[new Date(“2013-06-18”),6.135,6.13],[new Date(“2013-06-19”),6.135,6.14],[new Date(“2013-06-20”),6.138,6.14],[new Date(“2013-06-21”),6.145,6.14],[new Date(“2013-06-22”),6.145,6.15],[new Date(“2013-06-23”),6.145,6.15],[new Date(“2013-06-24”),6.155,6.15],[new Date(“2013-06-25”),6.156,6.16],[new Date(“2013-06-26”),6.180,6.18],[new Date(“2013-06-27”),6.186,6.19],[new Date(“2013-06-28”),6.174,6.17],[new Date(“2013-06-29”),6.172,6.17],[new Date(“2013-06-30″),6.155,6.16],]);var options = {
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chart.draw(data, options);
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May, 2013
01 6.1775
02 6.1696
↗0.008, 0.13%
03 6.1679
↗0.002, 0.03%
04 6.1660
↗0.002, 0.03%
05 6.1660
↗0.000, 0.00%
06 6.1752
↘0.009, 0.15%
07 6.1657
↗0.010, 0.15%
08 6.1512
↗0.014, 0.23%
09 6.1440
↗0.007, 0.12%
10 6.1502
↘0.006, 0.10%
11 6.1529
↘0.003, 0.04%
12 6.1546
↘0.002, 0.03%
13 6.1588
↘0.004, 0.07%
14 6.1548
↗0.004, 0.06%
15 6.1573
↘0.002, 0.04%
16 6.1607
↘0.003, 0.06%
17 6.1553
↗0.005, 0.09%
18 6.1560
↘0.001, 0.01%
19 6.1563
↘0.000, 0.00%
20 6.1525
↗0.004, 0.06%
21 6.1488
↗0.004, 0.06%
22 6.1436
↗0.005, 0.08%
23 6.1456
↘0.002, 0.03%
24 6.1440
↗0.002, 0.02%
25 6.1427
↗0.001, 0.02%
26 6.1424
↗0.000, 0.00%
27 6.1347
↗0.008, 0.13%
28 6.1334
↗0.001, 0.02%
29 6.1383
↘0.005, 0.08%
30 6.1426
↘0.004, 0.07%
31 6.1448
↘0.002, 0.03%
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chart.draw(data, options);
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April, 2013
01 6.2186
02 6.2182
↗0.000, 0.01%
03 6.2147
↗0.004, 0.06%
04 6.2167
↘0.002, 0.03%
05 6.2152
↗0.002, 0.02%
06 6.2154
↘0.000, 0.00%
07 6.2082
↗0.007, 0.12%
08 6.2183
↘0.010, 0.16%
09 6.2157
↗0.003, 0.04%
10 6.2079
↗0.008, 0.13%
11 6.2108
↘0.003, 0.05%
12 6.2061
↗0.005, 0.08%
13 6.2027
↗0.003, 0.05%
14 6.2031
↘0.000, 0.01%
15 6.1997
↗0.003, 0.05%
16 6.1986
↗0.001, 0.02%
17 6.1865
↗0.012, 0.19%
18 6.1941
↘0.008, 0.12%
19 6.1942
↘0.000, 0.00%
20 6.1908
↗0.003, 0.06%
21 6.1926
↘0.002, 0.03%
22 6.1975
↘0.005, 0.08%
23 6.1919
↗0.006, 0.09%
24 6.1911
↗0.001, 0.01%
25 6.1846
↗0.007, 0.11%
26 6.1775
↗0.007, 0.11%
27 6.1761
↗0.001, 0.02%
28 6.1742
↗0.002, 0.03%
29 6.1800
↘0.006, 0.09%
30 6.1758
↗0.004, 0.07%
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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March, 2013
01 6.2354
02 6.2352
↗0.000, 0.00%
03 6.2445
↘0.009, 0.15%
04 6.2401
↗0.004, 0.07%
05 6.2340
↗0.006, 0.10%
06 6.2316
↗0.002, 0.04%
07 6.2358
↘0.004, 0.07%
08 6.2288
↗0.007, 0.11%
09 6.2276
↗0.001, 0.02%
10 6.2486
↘0.021, 0.34%
11 6.2302
↗0.018, 0.29%
12 6.2291
↗0.001, 0.02%
13 6.2301
↘0.001, 0.02%
14 6.2314
↘0.001, 0.02%
15 6.2274
↗0.004, 0.06%
16 6.2158
↗0.012, 0.19%
17 6.2555
↘0.040, 0.64%
18 6.2280
↗0.027, 0.44%
19 6.2326
↘0.005, 0.07%
20 6.2297
↗0.003, 0.05%
21 6.2280
↗0.002, 0.03%
22 6.2286
↘0.001, 0.01%
23 6.2281
↗0.000, 0.01%
24 6.2203
↗0.008, 0.12%
25 6.2271
↘0.007, 0.11%
26 6.2269
↗0.000, 0.00%
27 6.2269
↘0.000, 0.00%
28 6.2275
↘0.001, 0.01%
29 6.2256
↗0.002, 0.03%
30 6.2248
↗0.001, 0.01%
31 6.2260
↘0.001, 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”);
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February, 2013
01 6.2413
02 6.2402
↗0.001, 0.02%
03 6.2457
↘0.005, 0.09%
04 6.2480
↘0.002, 0.04%
05 6.2438
↗0.004, 0.07%
06 6.2479
↘0.004, 0.07%
07 6.2451
↗0.003, 0.04%
08 6.2454
↘0.000, 0.00%
09 6.2446
↗0.001, 0.01%
10 6.2527
↘0.008, 0.13%
11 6.2454
↗0.007, 0.12%
12 6.2450
↗0.000, 0.01%
13 6.2486
↘0.004, 0.06%
14 6.2443
↗0.004, 0.07%
15 6.2440
↗0.000, 0.01%
16 6.2436
↗0.000, 0.01%
17 6.2420
↗0.002, 0.03%
18 6.2501
↘0.008, 0.13%
19 6.2543
↘0.004, 0.07%
20 6.2514
↗0.003, 0.05%
21 6.2498
↗0.002, 0.03%
22 6.2466
↗0.003, 0.05%
23 6.2466
↗0.000, 0.00%
24 6.2465
↗0.000, 0.00%
25 6.2455
↗0.001, 0.02%
26 6.2421
↗0.003, 0.05%
27 6.2396
↗0.003, 0.04%
28 6.2354
↗0.004, 0.07%
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google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
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data.addColumn(“number”, “Conversion Rate”);
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January, 2013
01 6.2507
02 6.2485
↗0.002, 0.04%
03 6.2457
↗0.003, 0.04%
04 6.2446
↗0.001, 0.02%
05 6.2454
↘0.001, 0.01%
06 6.2451
↗0.000, 0.00%
07 6.2446
↗0.000, 0.01%
08 6.2400
↗0.005, 0.08%
09 6.2398
↗0.000, 0.00%
10 6.2373
↗0.003, 0.04%
11 6.2298
↗0.007, 0.12%
12 6.2269
↗0.003, 0.05%
13 6.2289
↘0.002, 0.03%
14 6.2318
↘0.003, 0.05%
15 6.2267
↗0.005, 0.08%
16 6.2305
↘0.004, 0.06%
17 6.2187
↗0.012, 0.19%
18 6.2179
↗0.001, 0.01%
19 6.2282
↘0.010, 0.16%
20 6.2276
↗0.001, 0.01%
21 6.2326
↘0.005, 0.08%
22 6.2337
↘0.001, 0.02%
23 6.2319
↗0.002, 0.03%
24 6.2317
↗0.000, 0.00%
25 6.2340
↘0.002, 0.04%
26 6.2349
↘0.001, 0.01%
27 6.2347
↗0.000, 0.00%
28 6.2367
↘0.002, 0.03%
29 6.2398
↘0.003, 0.05%
30 6.2361
↗0.004, 0.06%
31 6.2335
↗0.003, 0.04%
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