Indian Rupee INR 2004 Conversion Rates

  • Opening Value is 45.591000 INR per Dollar
  • Closing Value is 43.446377 INR per Dollar
  • Change in Value during 2004 is -2.1446 which is -4.70%
  • Best Performance is on 2004-04-01 with 43.378847 INR per Dollar
  • Lowest Performance is on 2004-08-09 with 46.394670 INR per Dollar
  • Average Value is 45.2536 INR per Dollar
  • Swing Between the higest and the lowest is 3.0158 per Dollar, that is 6.61% compared to the opening value.

USD to INR Conversion Rates – 12 months

Date 1 USD =
2004-12-31 43.4464 INR
2004-11-30 44.5230 INR
2004-10-31 45.3400 INR
2004-09-30 45.8543 INR
2004-08-31 46.3298 INR
2004-07-31 46.3825 INR
2004-06-30 45.9757 INR
2004-05-31 45.4564 INR
2004-04-30 44.5023 INR
2004-03-31 43.4098 INR
2004-02-29 45.2195 INR
2004-01-31 45.2700 INR
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(“2004-12-31”),43.446,43.45],[new Date(“2004-11-30”),44.523,44.52],[new Date(“2004-10-31”),45.340,45.34],[new Date(“2004-09-30”),45.854,45.85],[new Date(“2004-08-31”),46.330,46.33],[new Date(“2004-07-31”),46.383,46.38],[new Date(“2004-06-30”),45.976,45.98],[new Date(“2004-05-31”),45.456,45.46],[new Date(“2004-04-30”),44.502,44.50],[new Date(“2004-03-31”),43.410,43.41],[new Date(“2004-02-29”),45.220,45.22],[new Date(“2004-01-31”),45.270,45.27],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[‘red’]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12months’));
chart.draw(data, options);
}

December, 2004

01      44.3543
02      44.0960
↗0.258, 0.58%
03      44.0655
↗0.031, 0.07%
04      44.0611
↗0.004, 0.01%
05      44.0611
→0.000, 0.00%
06      43.5702
↗0.491, 1.11%
07      43.6486
↘0.078, 0.18%
08      43.9991
↘0.350, 0.80%
09      44.1309
↘0.132, 0.30%
10      44.5932
↘0.462, 1.05%
11      44.5944
↘0.001, 0.00%
12      44.5944
→0.000, 0.00%
13      44.1430
↗0.451, 1.01%
14      44.0655
↗0.078, 0.18%
15      43.9486
↗0.117, 0.27%
16      43.8046
↗0.144, 0.33%
17      43.9004
↘0.096, 0.22%
18      43.9114
↘0.011, 0.03%
19      43.9114
→0.000, 0.00%
20      43.8438
↗0.068, 0.15%
21      43.6891
↗0.155, 0.35%
22      43.8078
↘0.119, 0.27%
23      43.6515
↗0.156, 0.36%
24      43.6750
↘0.024, 0.05%
25      43.7095
↘0.034, 0.08%
26      43.7095
→0.000, 0.00%
27      43.7656
↘0.056, 0.13%
28      43.6983
↗0.067, 0.15%
29      43.7068
↘0.008, 0.02%
30      43.6752
↗0.032, 0.07%
31      43.4464
↗0.229, 0.52%
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(“2004-12-01”),44.354,44.35],[new Date(“2004-12-02”),44.096,44.10],[new Date(“2004-12-03”),44.065,44.07],[new Date(“2004-12-04”),44.061,44.06],[new Date(“2004-12-05”),44.061,44.06],[new Date(“2004-12-06”),43.570,43.57],[new Date(“2004-12-07”),43.649,43.65],[new Date(“2004-12-08”),43.999,44.00],[new Date(“2004-12-09”),44.131,44.13],[new Date(“2004-12-10”),44.593,44.59],[new Date(“2004-12-11”),44.594,44.59],[new Date(“2004-12-12”),44.594,44.59],[new Date(“2004-12-13”),44.143,44.14],[new Date(“2004-12-14”),44.066,44.07],[new Date(“2004-12-15”),43.949,43.95],[new Date(“2004-12-16”),43.805,43.80],[new Date(“2004-12-17”),43.900,43.90],[new Date(“2004-12-18”),43.911,43.91],[new Date(“2004-12-19”),43.911,43.91],[new Date(“2004-12-20”),43.844,43.84],[new Date(“2004-12-21”),43.689,43.69],[new Date(“2004-12-22”),43.808,43.81],[new Date(“2004-12-23”),43.652,43.65],[new Date(“2004-12-24”),43.675,43.68],[new Date(“2004-12-25”),43.709,43.71],[new Date(“2004-12-26”),43.709,43.71],[new Date(“2004-12-27”),43.766,43.77],[new Date(“2004-12-28”),43.698,43.70],[new Date(“2004-12-29”),43.707,43.71],[new Date(“2004-12-30”),43.675,43.68],[new Date(“2004-12-31″),43.446,43.45],]);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_12’));
chart.draw(data, options);
}

November, 2004

01      45.3466
02      45.4693
↘0.123, 0.27%
03      45.3086
↗0.161, 0.35%
04      45.1331
↗0.175, 0.39%
05      45.1465
↘0.013, 0.03%
06      45.1567
↘0.010, 0.02%
07      45.1567
→0.000, 0.00%
08      45.0954
↗0.061, 0.14%
09      45.1267
↘0.031, 0.07%
10      45.1307
↘0.004, 0.01%
11      45.1153
↗0.015, 0.03%
12      45.0376
↗0.078, 0.17%
13      45.0361
↗0.002, 0.00%
14      45.0361
→0.000, 0.00%
15      45.0474
↘0.011, 0.03%
16      45.0035
↗0.044, 0.10%
17      45.0056
↘0.002, 0.00%
18      44.9974
↗0.008, 0.02%
19      45.0104
↘0.013, 0.03%
20      45.0195
↘0.009, 0.02%
21      45.0195
→0.000, 0.00%
22      44.9810
↗0.039, 0.09%
23      45.0149
↘0.034, 0.08%
24      44.9979
↗0.017, 0.04%
25      45.0159
↘0.018, 0.04%
26      44.9599
↗0.056, 0.12%
27      44.9322
↗0.028, 0.06%
28      44.9322
→0.000, 0.00%
29      44.6955
↗0.237, 0.53%
30      44.5230
↗0.173, 0.39%
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(“2004-11-01”),45.347,45.35],[new Date(“2004-11-02”),45.469,45.47],[new Date(“2004-11-03”),45.309,45.31],[new Date(“2004-11-04”),45.133,45.13],[new Date(“2004-11-05”),45.146,45.15],[new Date(“2004-11-06”),45.157,45.16],[new Date(“2004-11-07”),45.157,45.16],[new Date(“2004-11-08”),45.095,45.10],[new Date(“2004-11-09”),45.127,45.13],[new Date(“2004-11-10”),45.131,45.13],[new Date(“2004-11-11”),45.115,45.12],[new Date(“2004-11-12”),45.038,45.04],[new Date(“2004-11-13”),45.036,45.04],[new Date(“2004-11-14”),45.036,45.04],[new Date(“2004-11-15”),45.047,45.05],[new Date(“2004-11-16”),45.004,45.00],[new Date(“2004-11-17”),45.006,45.01],[new Date(“2004-11-18”),44.997,45.00],[new Date(“2004-11-19”),45.010,45.01],[new Date(“2004-11-20”),45.020,45.02],[new Date(“2004-11-21”),45.020,45.02],[new Date(“2004-11-22”),44.981,44.98],[new Date(“2004-11-23”),45.015,45.01],[new Date(“2004-11-24”),44.998,45.00],[new Date(“2004-11-25”),45.016,45.02],[new Date(“2004-11-26”),44.960,44.96],[new Date(“2004-11-27”),44.932,44.93],[new Date(“2004-11-28”),44.932,44.93],[new Date(“2004-11-29”),44.696,44.70],[new Date(“2004-11-30″),44.523,44.52],]);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_11’));
chart.draw(data, options);
}

October, 2004

01      45.8528
02      45.8589
↘0.006, 0.01%
03      45.8589
→0.000, 0.00%
04      45.8223
↗0.037, 0.08%
05      45.8349
↘0.013, 0.03%
06      45.8217
↗0.013, 0.03%
07      45.8130
↗0.009, 0.02%
08      45.7625
↗0.050, 0.11%
09      45.7393
↗0.023, 0.05%
10      45.7393
→0.000, 0.00%
11      45.7731
↘0.034, 0.07%
12      45.8545
↘0.081, 0.18%
13      45.7994
↗0.055, 0.12%
14      45.8058
↘0.006, 0.01%
15      45.8311
↘0.025, 0.06%
16      45.8305
↗0.001, 0.00%
17      45.8305
→0.000, 0.00%
18      45.8044
↗0.026, 0.06%
19      45.7946
↗0.010, 0.02%
20      45.7116
↗0.083, 0.18%
21      45.6957
↗0.016, 0.03%
22      45.6787
↗0.017, 0.04%
23      45.6895
↘0.011, 0.02%
24      45.6895
→0.000, 0.00%
25      45.5932
↗0.096, 0.21%
26      45.6417
↘0.048, 0.11%
27      45.5834
↗0.058, 0.13%
28      45.6139
↘0.030, 0.07%
29      45.3200
↗0.294, 0.64%
30      45.3400
↘0.020, 0.04%
31      45.3400
→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(“2004-10-01”),45.853,45.85],[new Date(“2004-10-02”),45.859,45.86],[new Date(“2004-10-03”),45.859,45.86],[new Date(“2004-10-04”),45.822,45.82],[new Date(“2004-10-05”),45.835,45.83],[new Date(“2004-10-06”),45.822,45.82],[new Date(“2004-10-07”),45.813,45.81],[new Date(“2004-10-08”),45.763,45.76],[new Date(“2004-10-09”),45.739,45.74],[new Date(“2004-10-10”),45.739,45.74],[new Date(“2004-10-11”),45.773,45.77],[new Date(“2004-10-12”),45.854,45.85],[new Date(“2004-10-13”),45.799,45.80],[new Date(“2004-10-14”),45.806,45.81],[new Date(“2004-10-15”),45.831,45.83],[new Date(“2004-10-16”),45.830,45.83],[new Date(“2004-10-17”),45.830,45.83],[new Date(“2004-10-18”),45.804,45.80],[new Date(“2004-10-19”),45.795,45.79],[new Date(“2004-10-20”),45.712,45.71],[new Date(“2004-10-21”),45.696,45.70],[new Date(“2004-10-22”),45.679,45.68],[new Date(“2004-10-23”),45.690,45.69],[new Date(“2004-10-24”),45.690,45.69],[new Date(“2004-10-25”),45.593,45.59],[new Date(“2004-10-26”),45.642,45.64],[new Date(“2004-10-27”),45.583,45.58],[new Date(“2004-10-28”),45.614,45.61],[new Date(“2004-10-29”),45.320,45.32],[new Date(“2004-10-30”),45.340,45.34],[new Date(“2004-10-31″),45.340,45.34],]);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_10’));
chart.draw(data, options);
}

September, 2004

01      46.3046
02      46.2813
↗0.023, 0.05%
03      46.2532
↗0.028, 0.06%
04      46.2003
↗0.053, 0.11%
05      46.2003
→0.000, 0.00%
06      46.3122
↘0.112, 0.24%
07      46.3187
↘0.007, 0.01%
08      46.2851
↗0.034, 0.07%
09      46.2869
↘0.002, 0.00%
10      46.2295
↗0.057, 0.12%
11      46.2202
↗0.009, 0.02%
12      46.2202
→0.000, 0.00%
13      46.1252
↗0.095, 0.21%
14      45.8556
↗0.270, 0.58%
15      45.8174
↗0.038, 0.08%
16      45.8439
↘0.026, 0.06%
17      45.8344
↗0.009, 0.02%
18      45.7964
↗0.038, 0.08%
19      45.7964
→0.000, 0.00%
20      45.8651
↘0.069, 0.15%
21      45.8169
↗0.048, 0.10%
22      45.8158
↗0.001, 0.00%
23      45.8533
↘0.037, 0.08%
24      45.8920
↘0.039, 0.08%
25      45.8740
↗0.018, 0.04%
26      45.8740
→0.000, 0.00%
27      45.9260
↘0.052, 0.11%
28      46.0824
↘0.156, 0.34%
29      45.9656
↗0.117, 0.25%
30      45.8543
↗0.111, 0.24%
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(“2004-09-01”),46.305,46.30],[new Date(“2004-09-02”),46.281,46.28],[new Date(“2004-09-03”),46.253,46.25],[new Date(“2004-09-04”),46.200,46.20],[new Date(“2004-09-05”),46.200,46.20],[new Date(“2004-09-06”),46.312,46.31],[new Date(“2004-09-07”),46.319,46.32],[new Date(“2004-09-08”),46.285,46.29],[new Date(“2004-09-09”),46.287,46.29],[new Date(“2004-09-10”),46.230,46.23],[new Date(“2004-09-11”),46.220,46.22],[new Date(“2004-09-12”),46.220,46.22],[new Date(“2004-09-13”),46.125,46.13],[new Date(“2004-09-14”),45.856,45.86],[new Date(“2004-09-15”),45.817,45.82],[new Date(“2004-09-16”),45.844,45.84],[new Date(“2004-09-17”),45.834,45.83],[new Date(“2004-09-18”),45.796,45.80],[new Date(“2004-09-19”),45.796,45.80],[new Date(“2004-09-20”),45.865,45.87],[new Date(“2004-09-21”),45.817,45.82],[new Date(“2004-09-22”),45.816,45.82],[new Date(“2004-09-23”),45.853,45.85],[new Date(“2004-09-24”),45.892,45.89],[new Date(“2004-09-25”),45.874,45.87],[new Date(“2004-09-26”),45.874,45.87],[new Date(“2004-09-27”),45.926,45.93],[new Date(“2004-09-28”),46.082,46.08],[new Date(“2004-09-29”),45.966,45.97],[new Date(“2004-09-30″),45.854,45.85],]);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_9’));
chart.draw(data, options);
}

August, 2004

01      46.3825
02      46.2975
↗0.085, 0.18%
03      46.3227
↘0.025, 0.05%
04      46.3262
↘0.003, 0.01%
05      46.3261
↗0.000, 0.00%
06      46.3240
↗0.002, 0.00%
07      46.2592
↗0.065, 0.14%
08      46.2592
→0.000, 0.00%
09      46.3947
↘0.135, 0.29%
10      46.3087
↗0.086, 0.19%
11      46.2814
↗0.027, 0.06%
12      46.2063
↗0.075, 0.16%
13      46.2765
↘0.070, 0.15%
14      46.2610
↗0.015, 0.03%
15      46.2610
→0.000, 0.00%
16      46.3663
↘0.105, 0.23%
17      46.3270
↗0.039, 0.08%
18      46.3240
↗0.003, 0.01%
19      46.2932
↗0.031, 0.07%
20      46.1922
↗0.101, 0.22%
21      46.1401
↗0.052, 0.11%
22      46.1401
→0.000, 0.00%
23      46.2399
↘0.100, 0.22%
24      46.2650
↘0.025, 0.05%
25      46.3467
↘0.082, 0.18%
26      46.3128
↗0.034, 0.07%
27      46.2637
↗0.049, 0.11%
28      46.2553
↗0.008, 0.02%
29      46.2553
→0.000, 0.00%
30      46.3108
↘0.055, 0.12%
31      46.3298
↘0.019, 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(“2004-08-01”),46.383,46.38],[new Date(“2004-08-02”),46.297,46.30],[new Date(“2004-08-03”),46.323,46.32],[new Date(“2004-08-04”),46.326,46.33],[new Date(“2004-08-05”),46.326,46.33],[new Date(“2004-08-06”),46.324,46.32],[new Date(“2004-08-07”),46.259,46.26],[new Date(“2004-08-08”),46.259,46.26],[new Date(“2004-08-09”),46.395,46.39],[new Date(“2004-08-10”),46.309,46.31],[new Date(“2004-08-11”),46.281,46.28],[new Date(“2004-08-12”),46.206,46.21],[new Date(“2004-08-13”),46.276,46.28],[new Date(“2004-08-14”),46.261,46.26],[new Date(“2004-08-15”),46.261,46.26],[new Date(“2004-08-16”),46.366,46.37],[new Date(“2004-08-17”),46.327,46.33],[new Date(“2004-08-18”),46.324,46.32],[new Date(“2004-08-19”),46.293,46.29],[new Date(“2004-08-20”),46.192,46.19],[new Date(“2004-08-21”),46.140,46.14],[new Date(“2004-08-22”),46.140,46.14],[new Date(“2004-08-23”),46.240,46.24],[new Date(“2004-08-24”),46.265,46.26],[new Date(“2004-08-25”),46.347,46.35],[new Date(“2004-08-26”),46.313,46.31],[new Date(“2004-08-27”),46.264,46.26],[new Date(“2004-08-28”),46.255,46.26],[new Date(“2004-08-29”),46.255,46.26],[new Date(“2004-08-30”),46.311,46.31],[new Date(“2004-08-31″),46.330,46.33],]);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_8’));
chart.draw(data, options);
}

July, 2004

01      45.8926
02      45.7723
↗0.120, 0.26%
03      45.7470
↗0.025, 0.06%
04      45.7470
→0.000, 0.00%
05      45.7887
↘0.042, 0.09%
06      45.9453
↘0.157, 0.34%
07      45.7418
↗0.204, 0.44%
08      45.6786
↗0.063, 0.14%
09      45.5893
↗0.089, 0.20%
10      45.4986
↗0.091, 0.20%
11      45.4986
→0.000, 0.00%
12      45.6199
↘0.121, 0.27%
13      45.7576
↘0.138, 0.30%
14      45.8401
↘0.082, 0.18%
15      45.9678
↘0.128, 0.28%
16      45.8469
↗0.121, 0.26%
17      45.6274
↗0.219, 0.48%
18      45.6274
→0.000, 0.00%
19      46.0835
↘0.456, 1.00%
20      46.0898
↘0.006, 0.01%
21      46.0911
↘0.001, 0.00%
22      46.2888
↘0.198, 0.43%
23      46.3197
↘0.031, 0.07%
24      46.2660
↗0.054, 0.12%
25      46.2660
→0.000, 0.00%
26      46.2742
↘0.008, 0.02%
27      46.2284
↗0.046, 0.10%
28      46.2675
↘0.039, 0.08%
29      46.3634
↘0.096, 0.21%
30      46.3903
↘0.027, 0.06%
31      46.3825
↗0.008, 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(“2004-07-01”),45.893,45.89],[new Date(“2004-07-02”),45.772,45.77],[new Date(“2004-07-03”),45.747,45.75],[new Date(“2004-07-04”),45.747,45.75],[new Date(“2004-07-05”),45.789,45.79],[new Date(“2004-07-06”),45.945,45.95],[new Date(“2004-07-07”),45.742,45.74],[new Date(“2004-07-08”),45.679,45.68],[new Date(“2004-07-09”),45.589,45.59],[new Date(“2004-07-10”),45.499,45.50],[new Date(“2004-07-11”),45.499,45.50],[new Date(“2004-07-12”),45.620,45.62],[new Date(“2004-07-13”),45.758,45.76],[new Date(“2004-07-14”),45.840,45.84],[new Date(“2004-07-15”),45.968,45.97],[new Date(“2004-07-16”),45.847,45.85],[new Date(“2004-07-17”),45.627,45.63],[new Date(“2004-07-18”),45.627,45.63],[new Date(“2004-07-19”),46.083,46.08],[new Date(“2004-07-20”),46.090,46.09],[new Date(“2004-07-21”),46.091,46.09],[new Date(“2004-07-22”),46.289,46.29],[new Date(“2004-07-23”),46.320,46.32],[new Date(“2004-07-24”),46.266,46.27],[new Date(“2004-07-25”),46.266,46.27],[new Date(“2004-07-26”),46.274,46.27],[new Date(“2004-07-27”),46.228,46.23],[new Date(“2004-07-28”),46.268,46.27],[new Date(“2004-07-29”),46.363,46.36],[new Date(“2004-07-30”),46.390,46.39],[new Date(“2004-07-31″),46.383,46.38],]);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_7’));
chart.draw(data, options);
}

June, 2004

01      45.3971
02      45.3310
↗0.066, 0.15%
03      45.2195
↗0.112, 0.25%
04      45.1353
↗0.084, 0.19%
05      45.2084
↘0.073, 0.16%
06      45.2084
→0.000, 0.00%
07      45.0493
↗0.159, 0.35%
08      45.0236
↗0.026, 0.06%
09      45.0422
↘0.019, 0.04%
10      45.1238
↘0.082, 0.18%
11      45.0698
↗0.054, 0.12%
12      45.0318
↗0.038, 0.08%
13      45.0318
→0.000, 0.00%
14      45.3210
↘0.289, 0.64%
15      45.3572
↘0.036, 0.08%
16      45.3331
↗0.024, 0.05%
17      45.4649
↘0.132, 0.29%
18      45.6329
↘0.168, 0.37%
19      45.5809
↗0.052, 0.11%
20      45.5809
→0.000, 0.00%
21      45.8813
↘0.300, 0.66%
22      46.1848
↘0.304, 0.66%
23      45.7245
↗0.460, 1.00%
24      45.8517
↘0.127, 0.28%
25      45.8032
↗0.049, 0.11%
26      45.7908
↗0.012, 0.03%
27      45.7908
→0.000, 0.00%
28      45.9450
↘0.154, 0.34%
29      46.0202
↘0.075, 0.16%
30      45.9757
↗0.045, 0.10%
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(“2004-06-01”),45.397,45.40],[new Date(“2004-06-02”),45.331,45.33],[new Date(“2004-06-03”),45.219,45.22],[new Date(“2004-06-04”),45.135,45.14],[new Date(“2004-06-05”),45.208,45.21],[new Date(“2004-06-06”),45.208,45.21],[new Date(“2004-06-07”),45.049,45.05],[new Date(“2004-06-08”),45.024,45.02],[new Date(“2004-06-09”),45.042,45.04],[new Date(“2004-06-10”),45.124,45.12],[new Date(“2004-06-11”),45.070,45.07],[new Date(“2004-06-12”),45.032,45.03],[new Date(“2004-06-13”),45.032,45.03],[new Date(“2004-06-14”),45.321,45.32],[new Date(“2004-06-15”),45.357,45.36],[new Date(“2004-06-16”),45.333,45.33],[new Date(“2004-06-17”),45.465,45.46],[new Date(“2004-06-18”),45.633,45.63],[new Date(“2004-06-19”),45.581,45.58],[new Date(“2004-06-20”),45.581,45.58],[new Date(“2004-06-21”),45.881,45.88],[new Date(“2004-06-22”),46.185,46.18],[new Date(“2004-06-23”),45.724,45.72],[new Date(“2004-06-24”),45.852,45.85],[new Date(“2004-06-25”),45.803,45.80],[new Date(“2004-06-26”),45.791,45.79],[new Date(“2004-06-27”),45.791,45.79],[new Date(“2004-06-28”),45.945,45.95],[new Date(“2004-06-29”),46.020,46.02],[new Date(“2004-06-30″),45.976,45.98],]);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, 2004

01      44.4846
02      44.4846
→0.000, 0.00%
03      44.7522
↘0.268, 0.60%
04      44.6721
↗0.080, 0.18%
05      44.5670
↗0.105, 0.24%
06      44.6191
↘0.052, 0.12%
07      44.6295
↘0.010, 0.02%
08      44.5726
↗0.057, 0.13%
09      44.5726
→0.000, 0.00%
10      44.9849
↘0.412, 0.93%
11      45.2999
↘0.315, 0.70%
12      45.3220
↘0.022, 0.05%
13      45.2082
↗0.114, 0.25%
14      45.5607
↘0.353, 0.78%
15      45.5046
↗0.056, 0.12%
16      45.5046
→0.000, 0.00%
17      45.4757
↗0.029, 0.06%
18      45.4373
↗0.038, 0.08%
19      45.1625
↗0.275, 0.60%
20      45.2842
↘0.122, 0.27%
21      45.1319
↗0.152, 0.34%
22      45.1942
↘0.062, 0.14%
23      45.1942
→0.000, 0.00%
24      45.2913
↘0.097, 0.21%
25      45.3025
↘0.011, 0.02%
26      45.0843
↗0.218, 0.48%
27      45.3775
↘0.293, 0.65%
28      45.4029
↘0.025, 0.06%
29      45.3969
↗0.006, 0.01%
30      45.3969
→0.000, 0.00%
31      45.4564
↘0.060, 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(“2004-05-01”),44.485,44.48],[new Date(“2004-05-02”),44.485,44.48],[new Date(“2004-05-03”),44.752,44.75],[new Date(“2004-05-04”),44.672,44.67],[new Date(“2004-05-05”),44.567,44.57],[new Date(“2004-05-06”),44.619,44.62],[new Date(“2004-05-07”),44.629,44.63],[new Date(“2004-05-08”),44.573,44.57],[new Date(“2004-05-09”),44.573,44.57],[new Date(“2004-05-10”),44.985,44.98],[new Date(“2004-05-11”),45.300,45.30],[new Date(“2004-05-12”),45.322,45.32],[new Date(“2004-05-13”),45.208,45.21],[new Date(“2004-05-14”),45.561,45.56],[new Date(“2004-05-15”),45.505,45.50],[new Date(“2004-05-16”),45.505,45.50],[new Date(“2004-05-17”),45.476,45.48],[new Date(“2004-05-18”),45.437,45.44],[new Date(“2004-05-19”),45.163,45.16],[new Date(“2004-05-20”),45.284,45.28],[new Date(“2004-05-21”),45.132,45.13],[new Date(“2004-05-22”),45.194,45.19],[new Date(“2004-05-23”),45.194,45.19],[new Date(“2004-05-24”),45.291,45.29],[new Date(“2004-05-25”),45.302,45.30],[new Date(“2004-05-26”),45.084,45.08],[new Date(“2004-05-27”),45.378,45.38],[new Date(“2004-05-28”),45.403,45.40],[new Date(“2004-05-29”),45.397,45.40],[new Date(“2004-05-30”),45.397,45.40],[new Date(“2004-05-31″),45.456,45.46],]);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, 2004

01      43.3788
02      43.7126
↘0.334, 0.77%
03      43.6566
↗0.056, 0.13%
04      43.6566
→0.000, 0.00%
05      43.7420
↘0.085, 0.20%
06      43.7724
↘0.030, 0.07%
07      43.6448
↗0.128, 0.29%
08      43.6805
↘0.036, 0.08%
09      43.6086
↗0.072, 0.16%
10      43.7672
↘0.159, 0.36%
11      43.7672
→0.000, 0.00%
12      43.7279
↗0.039, 0.09%
13      43.7819
↘0.054, 0.12%
14      43.6291
↗0.153, 0.35%
15      43.9626
↘0.334, 0.76%
16      43.8607
↗0.102, 0.23%
17      43.8526
↗0.008, 0.02%
18      43.8526
→0.000, 0.00%
19      43.8526
↘0.000, 0.00%
20      43.9458
↘0.093, 0.21%
21      44.0452
↘0.099, 0.23%
22      44.0902
↘0.045, 0.10%
23      44.0301
↗0.060, 0.14%
24      44.0340
↘0.004, 0.01%
25      44.0340
→0.000, 0.00%
26      44.1566
↘0.123, 0.28%
27      44.1944
↘0.038, 0.09%
28      44.1595
↗0.035, 0.08%
29      44.3741
↘0.215, 0.49%
30      44.5023
↘0.128, 0.29%
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(“2004-04-01”),43.379,43.38],[new Date(“2004-04-02”),43.713,43.71],[new Date(“2004-04-03”),43.657,43.66],[new Date(“2004-04-04”),43.657,43.66],[new Date(“2004-04-05”),43.742,43.74],[new Date(“2004-04-06”),43.772,43.77],[new Date(“2004-04-07”),43.645,43.64],[new Date(“2004-04-08”),43.681,43.68],[new Date(“2004-04-09”),43.609,43.61],[new Date(“2004-04-10”),43.767,43.77],[new Date(“2004-04-11”),43.767,43.77],[new Date(“2004-04-12”),43.728,43.73],[new Date(“2004-04-13”),43.782,43.78],[new Date(“2004-04-14”),43.629,43.63],[new Date(“2004-04-15”),43.963,43.96],[new Date(“2004-04-16”),43.861,43.86],[new Date(“2004-04-17”),43.853,43.85],[new Date(“2004-04-18”),43.853,43.85],[new Date(“2004-04-19”),43.853,43.85],[new Date(“2004-04-20”),43.946,43.95],[new Date(“2004-04-21”),44.045,44.05],[new Date(“2004-04-22”),44.090,44.09],[new Date(“2004-04-23”),44.030,44.03],[new Date(“2004-04-24”),44.034,44.03],[new Date(“2004-04-25”),44.034,44.03],[new Date(“2004-04-26”),44.157,44.16],[new Date(“2004-04-27”),44.194,44.19],[new Date(“2004-04-28”),44.159,44.16],[new Date(“2004-04-29”),44.374,44.37],[new Date(“2004-04-30″),44.502,44.50],]);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, 2004

01      45.2458
02      45.2027
↗0.043, 0.10%
03      45.2444
↘0.042, 0.09%
04      45.2934
↘0.049, 0.11%
05      45.2300
↗0.063, 0.14%
06      45.0970
↗0.133, 0.29%
07      45.0970
→0.000, 0.00%
08      45.2518
↘0.155, 0.34%
09      45.2369
↗0.015, 0.03%
10      45.1957
↗0.041, 0.09%
11      45.2683
↘0.073, 0.16%
12      45.2221
↗0.046, 0.10%
13      45.2416
↘0.019, 0.04%
14      45.2416
→0.000, 0.00%
15      45.2035
↗0.038, 0.08%
16      45.2108
↘0.007, 0.02%
17      45.2311
↘0.020, 0.04%
18      45.2269
↗0.004, 0.01%
19      45.1827
↗0.044, 0.10%
20      45.2105
↘0.028, 0.06%
21      45.2105
→0.000, 0.00%
22      45.1669
↗0.044, 0.10%
23      45.0078
↗0.159, 0.35%
24      44.7326
↗0.275, 0.61%
25      44.5958
↗0.137, 0.31%
26      44.4178
↗0.178, 0.40%
27      44.4160
↗0.002, 0.00%
28      44.4160
→0.000, 0.00%
29      44.1234
↗0.293, 0.66%
30      44.1192
↗0.004, 0.01%
31      43.4098
↗0.709, 1.61%
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(“2004-03-01”),45.246,45.25],[new Date(“2004-03-02”),45.203,45.20],[new Date(“2004-03-03”),45.244,45.24],[new Date(“2004-03-04”),45.293,45.29],[new Date(“2004-03-05”),45.230,45.23],[new Date(“2004-03-06”),45.097,45.10],[new Date(“2004-03-07”),45.097,45.10],[new Date(“2004-03-08”),45.252,45.25],[new Date(“2004-03-09”),45.237,45.24],[new Date(“2004-03-10”),45.196,45.20],[new Date(“2004-03-11”),45.268,45.27],[new Date(“2004-03-12”),45.222,45.22],[new Date(“2004-03-13”),45.242,45.24],[new Date(“2004-03-14”),45.242,45.24],[new Date(“2004-03-15”),45.204,45.20],[new Date(“2004-03-16”),45.211,45.21],[new Date(“2004-03-17”),45.231,45.23],[new Date(“2004-03-18”),45.227,45.23],[new Date(“2004-03-19”),45.183,45.18],[new Date(“2004-03-20”),45.210,45.21],[new Date(“2004-03-21”),45.210,45.21],[new Date(“2004-03-22”),45.167,45.17],[new Date(“2004-03-23”),45.008,45.01],[new Date(“2004-03-24”),44.733,44.73],[new Date(“2004-03-25”),44.596,44.60],[new Date(“2004-03-26”),44.418,44.42],[new Date(“2004-03-27”),44.416,44.42],[new Date(“2004-03-28”),44.416,44.42],[new Date(“2004-03-29”),44.123,44.12],[new Date(“2004-03-30”),44.119,44.12],[new Date(“2004-03-31″),43.410,43.41],]);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, 2004

01      45.2700
02      45.2763
↘0.006, 0.01%
03      45.6746
↘0.398, 0.88%
04      45.2844
↗0.390, 0.85%
05      45.2669
↗0.017, 0.04%
06      45.2821
↘0.015, 0.03%
07      45.2451
↗0.037, 0.08%
08      45.2451
→0.000, 0.00%
09      45.2351
↗0.010, 0.02%
10      45.2084
↗0.027, 0.06%
11      45.2323
↘0.024, 0.05%
12      45.2166
↗0.016, 0.03%
13      45.0719
↗0.145, 0.32%
14      44.7737
↗0.298, 0.66%
15      44.7737
→0.000, 0.00%
16      45.2361
↘0.462, 1.03%
17      45.2690
↘0.033, 0.07%
18      45.2008
↗0.068, 0.15%
19      45.3509
↘0.150, 0.33%
20      45.0828
↗0.268, 0.59%
21      44.8213
↗0.261, 0.58%
22      44.8213
→0.000, 0.00%
23      45.2690
↘0.448, 1.00%
24      45.2797
↘0.011, 0.02%
25      45.2250
↗0.055, 0.12%
26      45.2403
↘0.015, 0.03%
27      45.2478
↘0.007, 0.02%
28      45.2195
↗0.028, 0.06%
29      45.2195
→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(“2004-02-01”),45.270,45.27],[new Date(“2004-02-02”),45.276,45.28],[new Date(“2004-02-03”),45.675,45.67],[new Date(“2004-02-04”),45.284,45.28],[new Date(“2004-02-05”),45.267,45.27],[new Date(“2004-02-06”),45.282,45.28],[new Date(“2004-02-07”),45.245,45.25],[new Date(“2004-02-08”),45.245,45.25],[new Date(“2004-02-09”),45.235,45.24],[new Date(“2004-02-10”),45.208,45.21],[new Date(“2004-02-11”),45.232,45.23],[new Date(“2004-02-12”),45.217,45.22],[new Date(“2004-02-13”),45.072,45.07],[new Date(“2004-02-14”),44.774,44.77],[new Date(“2004-02-15”),44.774,44.77],[new Date(“2004-02-16”),45.236,45.24],[new Date(“2004-02-17”),45.269,45.27],[new Date(“2004-02-18”),45.201,45.20],[new Date(“2004-02-19”),45.351,45.35],[new Date(“2004-02-20”),45.083,45.08],[new Date(“2004-02-21”),44.821,44.82],[new Date(“2004-02-22”),44.821,44.82],[new Date(“2004-02-23”),45.269,45.27],[new Date(“2004-02-24”),45.280,45.28],[new Date(“2004-02-25”),45.225,45.22],[new Date(“2004-02-26”),45.240,45.24],[new Date(“2004-02-27”),45.248,45.25],[new Date(“2004-02-28”),45.220,45.22],[new Date(“2004-02-29″),45.220,45.22],]);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, 2004

01      45.5910
02      45.6481
↘0.057, 0.13%
03      45.6432
↗0.005, 0.01%
04      45.6432
→0.000, 0.00%
05      45.5755
↗0.068, 0.15%
06      45.5341
↗0.041, 0.09%
07      45.5070
↗0.027, 0.06%
08      45.5261
↘0.019, 0.04%
09      45.4745
↗0.052, 0.11%
10      45.4233
↗0.051, 0.11%
11      45.4233
→0.000, 0.00%
12      45.4279
↘0.005, 0.01%
13      45.4127
↗0.015, 0.03%
14      45.4241
↘0.011, 0.03%
15      45.4484
↘0.024, 0.05%
16      45.4312
↗0.017, 0.04%
17      45.4621
↘0.031, 0.07%
18      45.4621
→0.000, 0.00%
19      45.6783
↘0.216, 0.48%
20      45.4353
↗0.243, 0.53%
21      45.4011
↗0.034, 0.08%
22      45.2495
↗0.152, 0.33%
23      45.3284
↘0.079, 0.17%
24      45.2116
↗0.117, 0.26%
25      45.2116
→0.000, 0.00%
26      45.3266
↘0.115, 0.25%
27      45.3291
↘0.002, 0.01%
28      45.3811
↘0.052, 0.11%
29      45.2882
↗0.093, 0.20%
30      45.2955
↘0.007, 0.02%
31      45.2700
↗0.025, 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(“2004-01-01”),45.591,45.59],[new Date(“2004-01-02”),45.648,45.65],[new Date(“2004-01-03”),45.643,45.64],[new Date(“2004-01-04”),45.643,45.64],[new Date(“2004-01-05”),45.576,45.58],[new Date(“2004-01-06”),45.534,45.53],[new Date(“2004-01-07”),45.507,45.51],[new Date(“2004-01-08”),45.526,45.53],[new Date(“2004-01-09”),45.474,45.47],[new Date(“2004-01-10”),45.423,45.42],[new Date(“2004-01-11”),45.423,45.42],[new Date(“2004-01-12”),45.428,45.43],[new Date(“2004-01-13”),45.413,45.41],[new Date(“2004-01-14”),45.424,45.42],[new Date(“2004-01-15”),45.448,45.45],[new Date(“2004-01-16”),45.431,45.43],[new Date(“2004-01-17”),45.462,45.46],[new Date(“2004-01-18”),45.462,45.46],[new Date(“2004-01-19”),45.678,45.68],[new Date(“2004-01-20”),45.435,45.44],[new Date(“2004-01-21”),45.401,45.40],[new Date(“2004-01-22”),45.249,45.25],[new Date(“2004-01-23”),45.328,45.33],[new Date(“2004-01-24”),45.212,45.21],[new Date(“2004-01-25”),45.212,45.21],[new Date(“2004-01-26”),45.327,45.33],[new Date(“2004-01-27”),45.329,45.33],[new Date(“2004-01-28”),45.381,45.38],[new Date(“2004-01-29”),45.288,45.29],[new Date(“2004-01-30”),45.295,45.30],[new Date(“2004-01-31″),45.270,45.27],]);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);
}