Ugandan Shilling UGX 2019 Conversion Rates

  • Opening Value is 3700.901607 UGX per Dollar
  • Closing Value is 3664.308405 UGX per Dollar
  • Change in Value during 2019 is -36.5932 which is -0.99%
  • Best Performance is on 2019-08-25 with 3624.150224 UGX per Dollar
  • Lowest Performance is on 2019-05-09 with 3779.650006 UGX per Dollar
  • Average Value is 3,703.9952 UGX per Dollar
  • Swing Between the higest and the lowest is 155.4998 per Dollar, that is 4.20% compared to the opening value.

USD to UGX Conversion Rates – 12 months

Date 1 USD =
2019-12-31 3,664.3084 UGX
2019-11-30 3,692.6344 UGX
2019-10-31 3,714.5099 UGX
2019-09-30 3,692.5496 UGX
2019-08-31 3,689.8504 UGX
2019-07-31 3,700.4043 UGX
2019-06-30 3,693.3061 UGX
2019-05-31 3,766.2036 UGX
2019-04-30 3,745.3501 UGX
2019-03-31 3,714.9254 UGX
2019-02-28 3,703.8392 UGX
2019-01-31 3,683.4503 UGX
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(“2019-12-31”),3,664.308,3,664.31],[new Date(“2019-11-30”),3,692.634,3,692.63],[new Date(“2019-10-31”),3,714.510,3,714.51],[new Date(“2019-09-30”),3,692.550,3,692.55],[new Date(“2019-08-31”),3,689.850,3,689.85],[new Date(“2019-07-31”),3,700.404,3,700.40],[new Date(“2019-06-30”),3,693.306,3,693.31],[new Date(“2019-05-31”),3,766.204,3,766.20],[new Date(“2019-04-30”),3,745.350,3,745.35],[new Date(“2019-03-31”),3,714.925,3,714.93],[new Date(“2019-02-28”),3,703.839,3,703.84],[new Date(“2019-01-31”),3,683.450,3,683.45],]);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, 2019

01      3,692.6344
02      3,695.8961
↘3.262, 0.09%
03      3,704.9945
↘9.098, 0.25%
04      3,688.3787
↗16.616, 0.45%
05      3,687.1070
↗1.272, 0.03%
06      3,685.0669
↗2.040, 0.06%
07      3,685.0669
→0.000, 0.00%
08      3,685.0669
↗0.000, 0.00%
09      3,684.8735
↗0.193, 0.01%
10      3,683.5551
↗1.318, 0.04%
11      3,674.9375
↗8.618, 0.23%
12      3,674.8168
↗0.121, 0.00%
13      3,672.0490
↗2.768, 0.08%
14      3,672.0490
→0.000, 0.00%
15      3,672.0490
↗0.000, 0.00%
16      3,671.7060
↗0.343, 0.01%
17      3,672.9496
↘1.244, 0.03%
18      3,665.1703
↗7.779, 0.21%
19      3,663.3294
↗1.841, 0.05%
20      3,669.2148
↘5.885, 0.16%
21      3,669.2148
→0.000, 0.00%
22      3,669.2148
↗0.000, 0.00%
23      3,662.2082
↗7.007, 0.19%
24      3,664.8741
↘2.666, 0.07%
25      3,661.2539
↗3.620, 0.10%
26      3,659.8177
↗1.436, 0.04%
27      3,662.8498
↘3.032, 0.08%
28      3,662.8498
→0.000, 0.00%
29      3,662.8498
↗0.000, 0.00%
30      3,670.3199
↘7.470, 0.20%
31      3,664.3084
↗6.011, 0.16%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2019-12-01”),3,692.634,3,692.63],[new Date(“2019-12-02”),3,695.896,3,695.90],[new Date(“2019-12-03”),3,704.994,3,704.99],[new Date(“2019-12-04”),3,688.379,3,688.38],[new Date(“2019-12-05”),3,687.107,3,687.11],[new Date(“2019-12-06”),3,685.067,3,685.07],[new Date(“2019-12-07”),3,685.067,3,685.07],[new Date(“2019-12-08”),3,685.067,3,685.07],[new Date(“2019-12-09”),3,684.873,3,684.87],[new Date(“2019-12-10”),3,683.555,3,683.56],[new Date(“2019-12-11”),3,674.938,3,674.94],[new Date(“2019-12-12”),3,674.817,3,674.82],[new Date(“2019-12-13”),3,672.049,3,672.05],[new Date(“2019-12-14”),3,672.049,3,672.05],[new Date(“2019-12-15”),3,672.049,3,672.05],[new Date(“2019-12-16”),3,671.706,3,671.71],[new Date(“2019-12-17”),3,672.950,3,672.95],[new Date(“2019-12-18”),3,665.170,3,665.17],[new Date(“2019-12-19”),3,663.329,3,663.33],[new Date(“2019-12-20”),3,669.215,3,669.21],[new Date(“2019-12-21”),3,669.215,3,669.21],[new Date(“2019-12-22”),3,669.215,3,669.21],[new Date(“2019-12-23”),3,662.208,3,662.21],[new Date(“2019-12-24”),3,664.874,3,664.87],[new Date(“2019-12-25”),3,661.254,3,661.25],[new Date(“2019-12-26”),3,659.818,3,659.82],[new Date(“2019-12-27”),3,662.850,3,662.85],[new Date(“2019-12-28”),3,662.850,3,662.85],[new Date(“2019-12-29”),3,662.850,3,662.85],[new Date(“2019-12-30”),3,670.320,3,670.32],[new Date(“2019-12-31″),3,664.308,3,664.31],]);var options = {
hAxis: {
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_12’));
chart.draw(data, options);
}

November, 2019

01      3,709.9752
02      3,709.9752
→0.000, 0.00%
03      3,709.9752
↗0.000, 0.00%
04      3,704.5063
↗5.469, 0.15%
05      3,701.2747
↗3.232, 0.09%
06      3,704.9001
↘3.625, 0.10%
07      3,700.9118
↗3.988, 0.11%
08      3,695.5231
↗5.389, 0.15%
09      3,695.5231
→0.000, 0.00%
10      3,695.5231
↗0.000, 0.00%
11      3,696.5090
↘0.986, 0.03%
12      3,693.8789
↗2.630, 0.07%
13      3,696.4443
↘2.565, 0.07%
14      3,694.6731
↗1.771, 0.05%
15      3,690.5949
↗4.078, 0.11%
16      3,683.5485
↗7.046, 0.19%
17      3,683.5485
↗0.000, 0.00%
18      3,690.2254
↘6.677, 0.18%
19      3,689.5596
↗0.666, 0.02%
20      3,687.7399
↗1.820, 0.05%
21      3,687.5536
↗0.186, 0.01%
22      3,687.5516
↗0.002, 0.00%
23      3,687.5516
→0.000, 0.00%
24      3,687.5516
↗0.000, 0.00%
25      3,699.7935
↘12.242, 0.33%
26      3,702.2648
↘2.471, 0.07%
27      3,695.8596
↗6.405, 0.17%
28      3,700.3304
↘4.471, 0.12%
29      3,699.0972
↗1.233, 0.03%
30      3,692.6344
↗6.463, 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(“2019-11-01”),3,709.975,3,709.98],[new Date(“2019-11-02”),3,709.975,3,709.98],[new Date(“2019-11-03”),3,709.975,3,709.98],[new Date(“2019-11-04”),3,704.506,3,704.51],[new Date(“2019-11-05”),3,701.275,3,701.27],[new Date(“2019-11-06”),3,704.900,3,704.90],[new Date(“2019-11-07”),3,700.912,3,700.91],[new Date(“2019-11-08”),3,695.523,3,695.52],[new Date(“2019-11-09”),3,695.523,3,695.52],[new Date(“2019-11-10”),3,695.523,3,695.52],[new Date(“2019-11-11”),3,696.509,3,696.51],[new Date(“2019-11-12”),3,693.879,3,693.88],[new Date(“2019-11-13”),3,696.444,3,696.44],[new Date(“2019-11-14”),3,694.673,3,694.67],[new Date(“2019-11-15”),3,690.595,3,690.59],[new Date(“2019-11-16”),3,683.549,3,683.55],[new Date(“2019-11-17”),3,683.549,3,683.55],[new Date(“2019-11-18”),3,690.225,3,690.23],[new Date(“2019-11-19”),3,689.560,3,689.56],[new Date(“2019-11-20”),3,687.740,3,687.74],[new Date(“2019-11-21”),3,687.554,3,687.55],[new Date(“2019-11-22”),3,687.552,3,687.55],[new Date(“2019-11-23”),3,687.552,3,687.55],[new Date(“2019-11-24”),3,687.552,3,687.55],[new Date(“2019-11-25”),3,699.794,3,699.79],[new Date(“2019-11-26”),3,702.265,3,702.26],[new Date(“2019-11-27”),3,695.860,3,695.86],[new Date(“2019-11-28”),3,700.330,3,700.33],[new Date(“2019-11-29”),3,699.097,3,699.10],[new Date(“2019-11-30″),3,692.634,3,692.63],]);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, 2019

01      3,671.9500
02      3,666.6501
↗5.300, 0.14%
03      3,678.6503
↘12.000, 0.33%
04      3,681.5504
↘2.900, 0.08%
05      3,683.0003
↘1.450, 0.04%
06      3,682.9998
↗0.001, 0.00%
07      3,685.5497
↘2.550, 0.07%
08      3,693.4991
↘7.949, 0.22%
09      3,698.2988
↘4.800, 0.13%
10      3,695.0001
↗3.299, 0.09%
11      3,706.7504
↘11.750, 0.32%
12      3,706.7504
→0.000, 0.00%
13      3,708.1105
↘1.360, 0.04%
14      3,701.0169
↗7.094, 0.19%
15      3,695.7104
↗5.306, 0.14%
16      3,689.3318
↗6.379, 0.17%
17      3,687.1589
↗2.173, 0.06%
18      3,689.3029
↘2.144, 0.06%
19      3,689.3029
→0.000, 0.00%
20      3,689.3029
↗0.000, 0.00%
21      3,689.6039
↘0.301, 0.01%
22      3,695.3497
↘5.746, 0.16%
23      3,709.4248
↘14.075, 0.38%
24      3,720.3325
↘10.908, 0.29%
25      3,728.8395
↘8.507, 0.23%
26      3,728.8395
→0.000, 0.00%
27      3,728.8395
↗0.000, 0.00%
28      3,709.0860
↗19.753, 0.53%
29      3,699.2227
↗9.863, 0.27%
30      3,708.4698
↘9.247, 0.25%
31      3,714.5099
↘6.040, 0.16%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2019-10-01”),3,671.950,3,671.95],[new Date(“2019-10-02”),3,666.650,3,666.65],[new Date(“2019-10-03”),3,678.650,3,678.65],[new Date(“2019-10-04”),3,681.550,3,681.55],[new Date(“2019-10-05”),3,683.000,3,683.00],[new Date(“2019-10-06”),3,683.000,3,683.00],[new Date(“2019-10-07”),3,685.550,3,685.55],[new Date(“2019-10-08”),3,693.499,3,693.50],[new Date(“2019-10-09”),3,698.299,3,698.30],[new Date(“2019-10-10”),3,695.000,3,695.00],[new Date(“2019-10-11”),3,706.750,3,706.75],[new Date(“2019-10-12”),3,706.750,3,706.75],[new Date(“2019-10-13”),3,708.110,3,708.11],[new Date(“2019-10-14”),3,701.017,3,701.02],[new Date(“2019-10-15”),3,695.710,3,695.71],[new Date(“2019-10-16”),3,689.332,3,689.33],[new Date(“2019-10-17”),3,687.159,3,687.16],[new Date(“2019-10-18”),3,689.303,3,689.30],[new Date(“2019-10-19”),3,689.303,3,689.30],[new Date(“2019-10-20”),3,689.303,3,689.30],[new Date(“2019-10-21”),3,689.604,3,689.60],[new Date(“2019-10-22”),3,695.350,3,695.35],[new Date(“2019-10-23”),3,709.425,3,709.42],[new Date(“2019-10-24”),3,720.332,3,720.33],[new Date(“2019-10-25”),3,728.840,3,728.84],[new Date(“2019-10-26”),3,728.840,3,728.84],[new Date(“2019-10-27”),3,728.839,3,728.84],[new Date(“2019-10-28”),3,709.086,3,709.09],[new Date(“2019-10-29”),3,699.223,3,699.22],[new Date(“2019-10-30”),3,708.470,3,708.47],[new Date(“2019-10-31″),3,714.510,3,714.51],]);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, 2019

01      3,689.8501
02      3,683.2498
↗6.600, 0.18%
03      3,682.1500
↗1.100, 0.03%
04      3,687.4502
↘5.300, 0.14%
05      3,678.5993
↗8.851, 0.24%
06      3,680.0003
↘1.401, 0.04%
07      3,644.3036
↗35.697, 0.97%
08      3,644.3007
↗0.003, 0.00%
09      3,671.0498
↘26.749, 0.73%
10      3,669.1502
↗1.900, 0.05%
11      3,664.3780
↗4.772, 0.13%
12      3,664.9999
↘0.622, 0.02%
13      3,673.0003
↘8.000, 0.22%
14      3,673.0003
→0.000, 0.00%
15      3,673.0002
↗0.000, 0.00%
16      3,668.7497
↗4.250, 0.12%
17      3,668.4501
↗0.300, 0.01%
18      3,670.6498
↘2.200, 0.06%
19      3,675.7500
↘5.100, 0.14%
20      3,674.1504
↗1.600, 0.04%
21      3,674.1504
→0.000, 0.00%
22      3,674.1501
↗0.000, 0.00%
23      3,674.0963
↗0.054, 0.00%
24      3,675.4499
↘1.354, 0.04%
25      3,675.9505
↘0.501, 0.01%
26      3,670.9499
↗5.001, 0.14%
27      3,684.8504
↘13.900, 0.38%
28      3,684.3036
↗0.547, 0.01%
29      3,684.3025
↗0.001, 0.00%
30      3,692.5496
↘8.247, 0.22%
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(“2019-09-01”),3,689.850,3,689.85],[new Date(“2019-09-02”),3,683.250,3,683.25],[new Date(“2019-09-03”),3,682.150,3,682.15],[new Date(“2019-09-04”),3,687.450,3,687.45],[new Date(“2019-09-05”),3,678.599,3,678.60],[new Date(“2019-09-06”),3,680.000,3,680.00],[new Date(“2019-09-07”),3,644.304,3,644.30],[new Date(“2019-09-08”),3,644.301,3,644.30],[new Date(“2019-09-09”),3,671.050,3,671.05],[new Date(“2019-09-10”),3,669.150,3,669.15],[new Date(“2019-09-11”),3,664.378,3,664.38],[new Date(“2019-09-12”),3,665.000,3,665.00],[new Date(“2019-09-13”),3,673.000,3,673.00],[new Date(“2019-09-14”),3,673.000,3,673.00],[new Date(“2019-09-15”),3,673.000,3,673.00],[new Date(“2019-09-16”),3,668.750,3,668.75],[new Date(“2019-09-17”),3,668.450,3,668.45],[new Date(“2019-09-18”),3,670.650,3,670.65],[new Date(“2019-09-19”),3,675.750,3,675.75],[new Date(“2019-09-20”),3,674.150,3,674.15],[new Date(“2019-09-21”),3,674.150,3,674.15],[new Date(“2019-09-22”),3,674.150,3,674.15],[new Date(“2019-09-23”),3,674.096,3,674.10],[new Date(“2019-09-24”),3,675.450,3,675.45],[new Date(“2019-09-25”),3,675.951,3,675.95],[new Date(“2019-09-26”),3,670.950,3,670.95],[new Date(“2019-09-27”),3,684.850,3,684.85],[new Date(“2019-09-28”),3,684.304,3,684.30],[new Date(“2019-09-29”),3,684.303,3,684.30],[new Date(“2019-09-30″),3,692.550,3,692.55],]);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, 2019

01      3,700.7021
02      3,694.0003
↗6.702, 0.18%
03      3,694.0003
→0.000, 0.00%
04      3,693.9995
↗0.001, 0.00%
05      3,692.1025
↗1.897, 0.05%
06      3,693.5932
↘1.491, 0.04%
07      3,693.9497
↘0.356, 0.01%
08      3,700.5928
↘6.643, 0.18%
09      3,703.3504
↘2.758, 0.07%
10      3,703.3504
→0.000, 0.00%
11      3,703.3501
↗0.000, 0.00%
12      3,693.8023
↗9.548, 0.26%
13      3,695.0975
↘1.295, 0.04%
14      3,694.1499
↗0.948, 0.03%
15      3,694.0495
↗0.100, 0.00%
16      3,693.9036
↗0.146, 0.00%
17      3,693.9036
→0.000, 0.00%
18      3,693.9031
↗0.000, 0.00%
19      3,693.1502
↗0.753, 0.02%
20      3,690.3018
↗2.848, 0.08%
21      3,689.0496
↗1.252, 0.03%
22      3,691.0503
↘2.001, 0.05%
23      3,684.8036
↗6.247, 0.17%
24      3,624.1504
↗60.653, 1.65%
25      3,624.1502
↗0.000, 0.00%
26      3,685.5025
↘61.352, 1.69%
27      3,684.8999
↗0.603, 0.02%
28      3,685.9997
↘1.100, 0.03%
29      3,689.0502
↘3.050, 0.08%
30      3,689.8504
↘0.800, 0.02%
31      3,689.8504
→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(“2019-08-01”),3,700.702,3,700.70],[new Date(“2019-08-02”),3,694.000,3,694.00],[new Date(“2019-08-03”),3,694.000,3,694.00],[new Date(“2019-08-04”),3,694.000,3,694.00],[new Date(“2019-08-05”),3,692.102,3,692.10],[new Date(“2019-08-06”),3,693.593,3,693.59],[new Date(“2019-08-07”),3,693.950,3,693.95],[new Date(“2019-08-08”),3,700.593,3,700.59],[new Date(“2019-08-09”),3,703.350,3,703.35],[new Date(“2019-08-10”),3,703.350,3,703.35],[new Date(“2019-08-11”),3,703.350,3,703.35],[new Date(“2019-08-12”),3,693.802,3,693.80],[new Date(“2019-08-13”),3,695.097,3,695.10],[new Date(“2019-08-14”),3,694.150,3,694.15],[new Date(“2019-08-15”),3,694.049,3,694.05],[new Date(“2019-08-16”),3,693.904,3,693.90],[new Date(“2019-08-17”),3,693.904,3,693.90],[new Date(“2019-08-18”),3,693.903,3,693.90],[new Date(“2019-08-19”),3,693.150,3,693.15],[new Date(“2019-08-20”),3,690.302,3,690.30],[new Date(“2019-08-21”),3,689.050,3,689.05],[new Date(“2019-08-22”),3,691.050,3,691.05],[new Date(“2019-08-23”),3,684.804,3,684.80],[new Date(“2019-08-24”),3,624.150,3,624.15],[new Date(“2019-08-25”),3,624.150,3,624.15],[new Date(“2019-08-26”),3,685.503,3,685.50],[new Date(“2019-08-27”),3,684.900,3,684.90],[new Date(“2019-08-28”),3,686.000,3,686.00],[new Date(“2019-08-29”),3,689.050,3,689.05],[new Date(“2019-08-30”),3,689.850,3,689.85],[new Date(“2019-08-31″),3,689.850,3,689.85],]);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_8’));
chart.draw(data, options);
}

July, 2019

01      3,724.2500
02      3,707.8498
↗16.400, 0.44%
03      3,699.7976
↗8.052, 0.22%
04      3,700.5049
↘0.707, 0.02%
05      3,699.9504
↗0.555, 0.01%
06      3,699.9504
→0.000, 0.00%
07      3,699.9499
↗0.000, 0.00%
08      3,696.9496
↗3.000, 0.08%
09      3,692.2502
↗4.699, 0.13%
10      3,686.9016
↗5.349, 0.14%
11      3,691.4925
↘4.591, 0.12%
12      3,695.1036
↘3.611, 0.10%
13      3,695.1036
→0.000, 0.00%
14      3,695.0955
↗0.008, 0.00%
15      3,693.5555
↗1.540, 0.04%
16      3,690.8050
↗2.750, 0.07%
17      3,692.0001
↘1.195, 0.03%
18      3,694.6504
↘2.650, 0.07%
19      3,691.1504
↗3.500, 0.09%
20      3,692.6504
↘1.500, 0.04%
21      3,692.6495
↗0.001, 0.00%
22      3,695.1995
↘2.550, 0.07%
23      3,695.1504
↗0.049, 0.00%
24      3,695.8503
↘0.700, 0.02%
25      3,694.8950
↗0.955, 0.03%
26      3,694.3504
↗0.545, 0.01%
27      3,694.3504
→0.000, 0.00%
28      3,694.3498
↗0.001, 0.00%
29      3,701.9496
↘7.600, 0.21%
30      3,704.6946
↘2.745, 0.07%
31      3,700.4043
↗4.290, 0.12%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2019-07-01”),3,724.250,3,724.25],[new Date(“2019-07-02”),3,707.850,3,707.85],[new Date(“2019-07-03”),3,699.798,3,699.80],[new Date(“2019-07-04”),3,700.505,3,700.50],[new Date(“2019-07-05”),3,699.950,3,699.95],[new Date(“2019-07-06”),3,699.950,3,699.95],[new Date(“2019-07-07”),3,699.950,3,699.95],[new Date(“2019-07-08”),3,696.950,3,696.95],[new Date(“2019-07-09”),3,692.250,3,692.25],[new Date(“2019-07-10”),3,686.902,3,686.90],[new Date(“2019-07-11”),3,691.492,3,691.49],[new Date(“2019-07-12”),3,695.104,3,695.10],[new Date(“2019-07-13”),3,695.104,3,695.10],[new Date(“2019-07-14”),3,695.095,3,695.10],[new Date(“2019-07-15”),3,693.555,3,693.56],[new Date(“2019-07-16”),3,690.805,3,690.81],[new Date(“2019-07-17”),3,692.000,3,692.00],[new Date(“2019-07-18”),3,694.650,3,694.65],[new Date(“2019-07-19”),3,691.150,3,691.15],[new Date(“2019-07-20”),3,692.650,3,692.65],[new Date(“2019-07-21”),3,692.650,3,692.65],[new Date(“2019-07-22”),3,695.200,3,695.20],[new Date(“2019-07-23”),3,695.150,3,695.15],[new Date(“2019-07-24”),3,695.850,3,695.85],[new Date(“2019-07-25”),3,694.895,3,694.89],[new Date(“2019-07-26”),3,694.350,3,694.35],[new Date(“2019-07-27”),3,694.350,3,694.35],[new Date(“2019-07-28”),3,694.350,3,694.35],[new Date(“2019-07-29”),3,701.950,3,701.95],[new Date(“2019-07-30”),3,704.695,3,704.69],[new Date(“2019-07-31″),3,700.404,3,700.40],]);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, 2019

01      3,766.2036
02      3,747.4983
↗18.705, 0.50%
03      3,767.7500
↘20.252, 0.54%
04      3,767.1501
↗0.600, 0.02%
05      3,768.6504
↘1.500, 0.04%
06      3,772.2501
↘3.600, 0.10%
07      3,763.9504
↗8.300, 0.22%
08      3,763.9504
→0.000, 0.00%
09      3,763.9499
↗0.001, 0.00%
10      3,759.7918
↗4.158, 0.11%
11      3,750.5499
↗9.242, 0.25%
12      3,745.0499
↗5.500, 0.15%
13      3,744.8499
↗0.200, 0.01%
14      3,747.9036
↘3.054, 0.08%
15      3,753.9504
↘6.047, 0.16%
16      3,753.9505
↘0.000, 0.00%
17      3,734.9997
↗18.951, 0.50%
18      3,732.7005
↗2.299, 0.06%
19      3,715.4503
↗17.250, 0.46%
20      3,689.4984
↗25.952, 0.70%
21      3,675.3036
↗14.195, 0.38%
22      3,675.3036
→0.000, 0.00%
23      3,675.2957
↗0.008, 0.00%
24      3,685.6975
↘10.402, 0.28%
25      3,711.7499
↘26.052, 0.71%
26      3,705.2992
↗6.451, 0.17%
27      3,696.1958
↗9.103, 0.25%
28      3,693.3036
↗2.892, 0.08%
29      3,693.3036
→0.000, 0.00%
30      3,693.3061
↘0.002, 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(“2019-06-01”),3,766.204,3,766.20],[new Date(“2019-06-02”),3,747.498,3,747.50],[new Date(“2019-06-03”),3,767.750,3,767.75],[new Date(“2019-06-04”),3,767.150,3,767.15],[new Date(“2019-06-05”),3,768.650,3,768.65],[new Date(“2019-06-06”),3,772.250,3,772.25],[new Date(“2019-06-07”),3,763.950,3,763.95],[new Date(“2019-06-08”),3,763.950,3,763.95],[new Date(“2019-06-09”),3,763.950,3,763.95],[new Date(“2019-06-10”),3,759.792,3,759.79],[new Date(“2019-06-11”),3,750.550,3,750.55],[new Date(“2019-06-12”),3,745.050,3,745.05],[new Date(“2019-06-13”),3,744.850,3,744.85],[new Date(“2019-06-14”),3,747.904,3,747.90],[new Date(“2019-06-15”),3,753.950,3,753.95],[new Date(“2019-06-16”),3,753.951,3,753.95],[new Date(“2019-06-17”),3,735.000,3,735.00],[new Date(“2019-06-18”),3,732.700,3,732.70],[new Date(“2019-06-19”),3,715.450,3,715.45],[new Date(“2019-06-20”),3,689.498,3,689.50],[new Date(“2019-06-21”),3,675.304,3,675.30],[new Date(“2019-06-22”),3,675.304,3,675.30],[new Date(“2019-06-23”),3,675.296,3,675.30],[new Date(“2019-06-24”),3,685.697,3,685.70],[new Date(“2019-06-25”),3,711.750,3,711.75],[new Date(“2019-06-26”),3,705.299,3,705.30],[new Date(“2019-06-27”),3,696.196,3,696.20],[new Date(“2019-06-28”),3,693.304,3,693.30],[new Date(“2019-06-29”),3,693.304,3,693.30],[new Date(“2019-06-30″),3,693.306,3,693.31],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_6’));
chart.draw(data, options);
}

May, 2019

01      3,743.6997
02      3,763.5498
↘19.850, 0.53%
03      3,769.7504
↘6.201, 0.16%
04      3,769.7504
→0.000, 0.00%
05      3,769.7502
↗0.000, 0.00%
06      3,769.7505
↘0.000, 0.00%
07      3,769.5999
↗0.151, 0.00%
08      3,776.7502
↘7.150, 0.19%
09      3,779.6500
↘2.900, 0.08%
10      3,774.8504
↗4.800, 0.13%
11      3,774.8504
→0.000, 0.00%
12      3,774.8500
↗0.000, 0.00%
13      3,772.6498
↗2.200, 0.06%
14      3,772.5002
↗0.150, 0.00%
15      3,773.1059
↘0.606, 0.02%
16      3,769.5503
↗3.556, 0.09%
17      3,756.9036
↗12.647, 0.34%
18      3,756.9036
→0.000, 0.00%
19      3,756.9004
↗0.003, 0.00%
20      3,764.9504
↘8.050, 0.21%
21      3,763.2007
↗1.750, 0.05%
22      3,767.3963
↘4.196, 0.11%
23      3,760.1061
↗7.290, 0.19%
24      3,763.7036
↘3.598, 0.10%
25      3,757.0504
↗6.653, 0.18%
26      3,757.0496
↗0.001, 0.00%
27      3,759.9039
↘2.854, 0.08%
28      3,768.2008
↘8.297, 0.22%
29      3,760.2500
↗7.951, 0.21%
30      3,759.2924
↗0.958, 0.03%
31      3,766.2036
↘6.911, 0.18%
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(“2019-05-01”),3,743.700,3,743.70],[new Date(“2019-05-02”),3,763.550,3,763.55],[new Date(“2019-05-03”),3,769.750,3,769.75],[new Date(“2019-05-04”),3,769.750,3,769.75],[new Date(“2019-05-05”),3,769.750,3,769.75],[new Date(“2019-05-06”),3,769.751,3,769.75],[new Date(“2019-05-07”),3,769.600,3,769.60],[new Date(“2019-05-08”),3,776.750,3,776.75],[new Date(“2019-05-09”),3,779.650,3,779.65],[new Date(“2019-05-10”),3,774.850,3,774.85],[new Date(“2019-05-11”),3,774.850,3,774.85],[new Date(“2019-05-12”),3,774.850,3,774.85],[new Date(“2019-05-13”),3,772.650,3,772.65],[new Date(“2019-05-14”),3,772.500,3,772.50],[new Date(“2019-05-15”),3,773.106,3,773.11],[new Date(“2019-05-16”),3,769.550,3,769.55],[new Date(“2019-05-17”),3,756.904,3,756.90],[new Date(“2019-05-18”),3,756.904,3,756.90],[new Date(“2019-05-19”),3,756.900,3,756.90],[new Date(“2019-05-20”),3,764.950,3,764.95],[new Date(“2019-05-21”),3,763.201,3,763.20],[new Date(“2019-05-22”),3,767.396,3,767.40],[new Date(“2019-05-23”),3,760.106,3,760.11],[new Date(“2019-05-24”),3,763.704,3,763.70],[new Date(“2019-05-25”),3,757.050,3,757.05],[new Date(“2019-05-26”),3,757.050,3,757.05],[new Date(“2019-05-27”),3,759.904,3,759.90],[new Date(“2019-05-28”),3,768.201,3,768.20],[new Date(“2019-05-29”),3,760.250,3,760.25],[new Date(“2019-05-30”),3,759.292,3,759.29],[new Date(“2019-05-31″),3,766.204,3,766.20],]);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, 2019

01      3,713.1315
02      3,720.2500
↘7.118, 0.19%
03      3,723.1502
↘2.900, 0.08%
04      3,725.2968
↘2.147, 0.06%
05      3,741.5504
↘16.254, 0.44%
06      3,741.5504
→0.000, 0.00%
07      3,741.5495
↗0.001, 0.00%
08      3,734.9997
↗6.550, 0.18%
09      3,747.1012
↘12.101, 0.32%
10      3,758.1974
↘11.096, 0.30%
11      3,748.3501
↗9.847, 0.26%
12      3,737.8504
↗10.500, 0.28%
13      3,737.8504
→0.000, 0.00%
14      3,737.8497
↗0.001, 0.00%
15      3,739.5938
↘1.744, 0.05%
16      3,735.5989
↗3.995, 0.11%
17      3,735.5974
↗0.002, 0.00%
18      3,741.9049
↘6.307, 0.17%
19      3,748.2504
↘6.345, 0.17%
20      3,748.2504
→0.000, 0.00%
21      3,748.2499
↗0.000, 0.00%
22      3,744.8917
↗3.358, 0.09%
23      3,735.7125
↗9.179, 0.25%
24      3,740.0498
↘4.337, 0.12%
25      3,742.2498
↘2.200, 0.06%
26      3,748.8036
↘6.554, 0.18%
27      3,739.1036
↗9.700, 0.26%
28      3,739.1226
↘0.019, 0.00%
29      3,744.4501
↘5.328, 0.14%
30      3,745.3501
↘0.900, 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(“2019-04-01”),3,713.131,3,713.13],[new Date(“2019-04-02”),3,720.250,3,720.25],[new Date(“2019-04-03”),3,723.150,3,723.15],[new Date(“2019-04-04”),3,725.297,3,725.30],[new Date(“2019-04-05”),3,741.550,3,741.55],[new Date(“2019-04-06”),3,741.550,3,741.55],[new Date(“2019-04-07”),3,741.550,3,741.55],[new Date(“2019-04-08”),3,735.000,3,735.00],[new Date(“2019-04-09”),3,747.101,3,747.10],[new Date(“2019-04-10”),3,758.197,3,758.20],[new Date(“2019-04-11”),3,748.350,3,748.35],[new Date(“2019-04-12”),3,737.850,3,737.85],[new Date(“2019-04-13”),3,737.850,3,737.85],[new Date(“2019-04-14”),3,737.850,3,737.85],[new Date(“2019-04-15”),3,739.594,3,739.59],[new Date(“2019-04-16”),3,735.599,3,735.60],[new Date(“2019-04-17”),3,735.597,3,735.60],[new Date(“2019-04-18”),3,741.905,3,741.90],[new Date(“2019-04-19”),3,748.250,3,748.25],[new Date(“2019-04-20”),3,748.250,3,748.25],[new Date(“2019-04-21”),3,748.250,3,748.25],[new Date(“2019-04-22”),3,744.892,3,744.89],[new Date(“2019-04-23”),3,735.713,3,735.71],[new Date(“2019-04-24”),3,740.050,3,740.05],[new Date(“2019-04-25”),3,742.250,3,742.25],[new Date(“2019-04-26”),3,748.804,3,748.80],[new Date(“2019-04-27”),3,739.104,3,739.10],[new Date(“2019-04-28”),3,739.123,3,739.12],[new Date(“2019-04-29”),3,744.450,3,744.45],[new Date(“2019-04-30″),3,745.350,3,745.35],]);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, 2019

01      3,704.5504
02      3,704.5504
→0.000, 0.00%
03      3,704.5502
↗0.000, 0.00%
04      3,693.3506
↗11.200, 0.30%
05      3,696.3976
↘3.047, 0.08%
06      3,719.1067
↘22.709, 0.61%
07      3,701.7504
↗17.356, 0.47%
08      3,704.2036
↘2.453, 0.07%
09      3,704.2036
→0.000, 0.00%
10      3,696.9504
↗7.253, 0.20%
11      3,712.8497
↘15.899, 0.43%
12      3,709.8167
↗3.033, 0.08%
13      3,712.6951
↘2.878, 0.08%
14      3,715.7503
↘3.055, 0.08%
15      3,700.4504
↗15.300, 0.41%
16      3,700.4504
→0.000, 0.00%
17      3,700.4503
↗0.000, 0.00%
18      3,711.9003
↘11.450, 0.31%
19      3,704.4503
↗7.450, 0.20%
20      3,706.3955
↘1.945, 0.05%
21      3,700.7036
↗5.692, 0.15%
22      3,702.6504
↘1.947, 0.05%
23      3,695.4504
↗7.200, 0.19%
24      3,695.4503
↗0.000, 0.00%
25      3,703.3500
↘7.900, 0.21%
26      3,708.6501
↘5.300, 0.14%
27      3,706.5976
↗2.052, 0.06%
28      3,715.1998
↘8.602, 0.23%
29      3,714.9036
↗0.296, 0.01%
30      3,714.9036
→0.000, 0.00%
31      3,714.9254
↘0.022, 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(“2019-03-01”),3,704.550,3,704.55],[new Date(“2019-03-02”),3,704.550,3,704.55],[new Date(“2019-03-03”),3,704.550,3,704.55],[new Date(“2019-03-04”),3,693.351,3,693.35],[new Date(“2019-03-05”),3,696.398,3,696.40],[new Date(“2019-03-06”),3,719.107,3,719.11],[new Date(“2019-03-07”),3,701.750,3,701.75],[new Date(“2019-03-08”),3,704.204,3,704.20],[new Date(“2019-03-09”),3,704.204,3,704.20],[new Date(“2019-03-10”),3,696.950,3,696.95],[new Date(“2019-03-11”),3,712.850,3,712.85],[new Date(“2019-03-12”),3,709.817,3,709.82],[new Date(“2019-03-13”),3,712.695,3,712.70],[new Date(“2019-03-14”),3,715.750,3,715.75],[new Date(“2019-03-15”),3,700.450,3,700.45],[new Date(“2019-03-16”),3,700.450,3,700.45],[new Date(“2019-03-17”),3,700.450,3,700.45],[new Date(“2019-03-18”),3,711.900,3,711.90],[new Date(“2019-03-19”),3,704.450,3,704.45],[new Date(“2019-03-20”),3,706.395,3,706.40],[new Date(“2019-03-21”),3,700.704,3,700.70],[new Date(“2019-03-22”),3,702.650,3,702.65],[new Date(“2019-03-23”),3,695.450,3,695.45],[new Date(“2019-03-24”),3,695.450,3,695.45],[new Date(“2019-03-25”),3,703.350,3,703.35],[new Date(“2019-03-26”),3,708.650,3,708.65],[new Date(“2019-03-27”),3,706.598,3,706.60],[new Date(“2019-03-28”),3,715.200,3,715.20],[new Date(“2019-03-29”),3,714.904,3,714.90],[new Date(“2019-03-30”),3,714.904,3,714.90],[new Date(“2019-03-31″),3,714.925,3,714.93],]);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, 2019

01      3,670.9504
02      3,670.9504
→0.000, 0.00%
03      3,670.9504
↘0.000, 0.00%
04      3,681.9502
↘11.000, 0.30%
05      3,680.0497
↗1.900, 0.05%
06      3,672.6995
↗7.350, 0.20%
07      3,664.3032
↗8.396, 0.23%
08      3,674.9504
↘10.647, 0.29%
09      3,676.2036
↘1.253, 0.03%
10      3,676.1973
↗0.006, 0.00%
11      3,670.3026
↗5.895, 0.16%
12      3,667.4033
↗2.899, 0.08%
13      3,669.8498
↘2.446, 0.07%
14      3,670.9500
↘1.100, 0.03%
15      3,669.0003
↗1.950, 0.05%
16      3,669.0003
→0.000, 0.00%
17      3,669.0001
↗0.000, 0.00%
18      3,668.4499
↗0.550, 0.01%
19      3,671.4073
↘2.957, 0.08%
20      3,672.7033
↘1.296, 0.04%
21      3,666.5978
↗6.106, 0.17%
22      3,670.3036
↘3.706, 0.10%
23      3,669.0003
↗1.303, 0.04%
24      3,668.9998
↗0.001, 0.00%
25      3,670.5035
↘1.504, 0.04%
26      3,676.2520
↘5.748, 0.16%
27      3,686.3975
↘10.146, 0.28%
28      3,703.8392
↘17.442, 0.47%
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(“2019-02-01”),3,670.950,3,670.95],[new Date(“2019-02-02”),3,670.950,3,670.95],[new Date(“2019-02-03”),3,670.950,3,670.95],[new Date(“2019-02-04”),3,681.950,3,681.95],[new Date(“2019-02-05”),3,680.050,3,680.05],[new Date(“2019-02-06”),3,672.699,3,672.70],[new Date(“2019-02-07”),3,664.303,3,664.30],[new Date(“2019-02-08”),3,674.950,3,674.95],[new Date(“2019-02-09”),3,676.204,3,676.20],[new Date(“2019-02-10”),3,676.197,3,676.20],[new Date(“2019-02-11”),3,670.303,3,670.30],[new Date(“2019-02-12”),3,667.403,3,667.40],[new Date(“2019-02-13”),3,669.850,3,669.85],[new Date(“2019-02-14”),3,670.950,3,670.95],[new Date(“2019-02-15”),3,669.000,3,669.00],[new Date(“2019-02-16”),3,669.000,3,669.00],[new Date(“2019-02-17”),3,669.000,3,669.00],[new Date(“2019-02-18”),3,668.450,3,668.45],[new Date(“2019-02-19”),3,671.407,3,671.41],[new Date(“2019-02-20”),3,672.703,3,672.70],[new Date(“2019-02-21”),3,666.598,3,666.60],[new Date(“2019-02-22”),3,670.304,3,670.30],[new Date(“2019-02-23”),3,669.000,3,669.00],[new Date(“2019-02-24”),3,669.000,3,669.00],[new Date(“2019-02-25”),3,670.504,3,670.50],[new Date(“2019-02-26”),3,676.252,3,676.25],[new Date(“2019-02-27”),3,686.397,3,686.40],[new Date(“2019-02-28″),3,703.839,3,703.84],]);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, 2019

01      3,700.9016
02      3,716.6499
↘15.748, 0.43%
03      3,724.4500
↘7.800, 0.21%
04      3,725.8504
↘1.400, 0.04%
05      3,725.8504
→0.000, 0.00%
06      3,725.8500
↗0.000, 0.00%
07      3,729.0976
↘3.248, 0.09%
08      3,735.3498
↘6.252, 0.17%
09      3,731.3026
↗4.047, 0.11%
10      3,721.2502
↗10.052, 0.27%
11      3,709.7036
↗11.547, 0.31%
12      3,709.7036
→0.000, 0.00%
13      3,709.7015
↗0.002, 0.00%
14      3,699.8501
↗9.851, 0.27%
15      3,694.6023
↗5.248, 0.14%
16      3,699.3499
↘4.748, 0.13%
17      3,714.2499
↘14.900, 0.40%
18      3,711.1504
↗3.100, 0.08%
19      3,711.1504
→0.000, 0.00%
20      3,711.1502
↗0.000, 0.00%
21      3,701.9020
↗9.248, 0.25%
22      3,698.2140
↗3.688, 0.10%
23      3,692.4986
↗5.715, 0.15%
24      3,691.3507
↗1.148, 0.03%
25      3,675.5504
↗15.800, 0.43%
26      3,657.5504
↗18.000, 0.49%
27      3,657.5496
↗0.001, 0.00%
28      3,677.2501
↘19.701, 0.54%
29      3,666.2974
↗10.953, 0.30%
30      3,676.9497
↘10.652, 0.29%
31      3,683.4503
↘6.501, 0.18%
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(“2019-01-01”),3,700.902,3,700.90],[new Date(“2019-01-02”),3,716.650,3,716.65],[new Date(“2019-01-03”),3,724.450,3,724.45],[new Date(“2019-01-04”),3,725.850,3,725.85],[new Date(“2019-01-05”),3,725.850,3,725.85],[new Date(“2019-01-06”),3,725.850,3,725.85],[new Date(“2019-01-07”),3,729.098,3,729.10],[new Date(“2019-01-08”),3,735.350,3,735.35],[new Date(“2019-01-09”),3,731.303,3,731.30],[new Date(“2019-01-10”),3,721.250,3,721.25],[new Date(“2019-01-11”),3,709.704,3,709.70],[new Date(“2019-01-12”),3,709.704,3,709.70],[new Date(“2019-01-13”),3,709.701,3,709.70],[new Date(“2019-01-14”),3,699.850,3,699.85],[new Date(“2019-01-15”),3,694.602,3,694.60],[new Date(“2019-01-16”),3,699.350,3,699.35],[new Date(“2019-01-17”),3,714.250,3,714.25],[new Date(“2019-01-18”),3,711.150,3,711.15],[new Date(“2019-01-19”),3,711.150,3,711.15],[new Date(“2019-01-20”),3,711.150,3,711.15],[new Date(“2019-01-21”),3,701.902,3,701.90],[new Date(“2019-01-22”),3,698.214,3,698.21],[new Date(“2019-01-23”),3,692.499,3,692.50],[new Date(“2019-01-24”),3,691.351,3,691.35],[new Date(“2019-01-25”),3,675.550,3,675.55],[new Date(“2019-01-26”),3,657.550,3,657.55],[new Date(“2019-01-27”),3,657.550,3,657.55],[new Date(“2019-01-28”),3,677.250,3,677.25],[new Date(“2019-01-29”),3,666.297,3,666.30],[new Date(“2019-01-30”),3,676.950,3,676.95],[new Date(“2019-01-31″),3,683.450,3,683.45],]);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_1’));
chart.draw(data, options);
}