Tanzanian Shilling TZS 2019 Conversion Rates

  • Opening Value is 2299.999798 TZS per Dollar
  • Closing Value is 2297.621989 TZS per Dollar
  • Change in Value during 2019 is -2.3778 which is -0.10%
  • Best Performance is on 2019-08-24 with 2261.550368 TZS per Dollar
  • Lowest Performance is on 2019-03-07 with 2364.290979 TZS per Dollar
  • Average Value is 2,306.8685 TZS per Dollar
  • Swing Between the higest and the lowest is 102.7406 per Dollar, that is 4.47% compared to the opening value.

USD to TZS Conversion Rates – 12 months

Date 1 USD =
2019-12-31 2,297.6220 TZS
2019-11-30 2,297.4455 TZS
2019-10-31 2,303.6999 TZS
2019-09-30 2,302.8502 TZS
2019-08-31 2,301.9036 TZS
2019-07-31 2,298.8015 TZS
2019-06-30 2,299.3978 TZS
2019-05-31 2,300.0003 TZS
2019-04-30 2,303.2227 TZS
2019-03-31 2,315.1979 TZS
2019-02-28 2,351.8024 TZS
2019-01-31 2,323.4990 TZS
google.charts.load(“current”, {packages: [“corechart”, “line”]});
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‘colors’:[‘red’]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12months’));
chart.draw(data, options);
}

December, 2019

01      2,297.4455
02      2,298.6021
↘1.157, 0.05%
03      2,298.0002
↗0.602, 0.03%
04      2,297.0023
↗0.998, 0.04%
05      2,297.4987
↘0.496, 0.02%
06      2,297.6036
↘0.105, 0.00%
07      2,297.6036
→0.000, 0.00%
08      2,297.5967
↗0.007, 0.00%
09      2,297.5992
↘0.002, 0.00%
10      2,298.5868
↘0.988, 0.04%
11      2,300.5971
↘2.010, 0.09%
12      2,297.9022
↗2.695, 0.12%
13      2,297.4036
↗0.499, 0.02%
14      2,297.4036
→0.000, 0.00%
15      2,297.3965
↗0.007, 0.00%
16      2,297.7974
↘0.401, 0.02%
17      2,299.8619
↘2.064, 0.09%
18      2,301.1032
↘1.241, 0.05%
19      2,298.9682
↗2.135, 0.09%
20      2,299.5036
↘0.535, 0.02%
21      2,299.5036
→0.000, 0.00%
22      2,299.4944
↗0.009, 0.00%
23      2,299.5024
↘0.008, 0.00%
24      2,297.9016
↗1.601, 0.07%
25      2,297.9003
↗0.001, 0.00%
26      2,297.8974
↗0.003, 0.00%
27      2,297.9036
↘0.006, 0.00%
28      2,297.9036
→0.000, 0.00%
29      2,297.8966
↗0.007, 0.00%
30      2,298.1994
↘0.303, 0.01%
31      2,297.6220
↗0.577, 0.03%
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‘colors’:[”]
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chart.draw(data, options);
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November, 2019

01      2,303.2036
02      2,303.2036
→0.000, 0.00%
03      2,303.2025
↗0.001, 0.00%
04      2,304.7063
↘1.504, 0.07%
05      2,305.1020
↘0.396, 0.02%
06      2,304.8951
↗0.207, 0.01%
07      2,305.4996
↘0.605, 0.03%
08      2,304.1036
↗1.396, 0.06%
09      2,304.1036
→0.000, 0.00%
10      2,304.0994
↗0.004, 0.00%
11      2,300.7882
↗3.311, 0.14%
12      2,300.6985
↗0.090, 0.00%
13      2,308.3985
↘7.700, 0.33%
14      2,303.7802
↗4.618, 0.20%
15      2,308.4036
↘4.623, 0.20%
16      2,299.9737
↗8.430, 0.37%
17      2,299.9737
↗0.000, 0.00%
18      2,306.0989
↘6.125, 0.27%
19      2,302.7023
↗3.397, 0.15%
20      2,301.8027
↗0.900, 0.04%
21      2,303.4016
↘1.599, 0.07%
22      2,303.4036
↘0.002, 0.00%
23      2,303.4036
→0.000, 0.00%
24      2,303.4005
↗0.003, 0.00%
25      2,300.8964
↗2.504, 0.11%
26      2,303.5065
↘2.610, 0.11%
27      2,303.4961
↗0.010, 0.00%
28      2,302.1975
↗1.299, 0.06%
29      2,301.5036
↗0.694, 0.03%
30      2,297.4455
↗4.058, 0.18%
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‘colors’:[”]
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chart.draw(data, options);
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October, 2019

01      2,291.1954
02      2,289.6986
↗1.497, 0.07%
03      2,291.6960
↘1.997, 0.09%
04      2,291.7036
↘0.008, 0.00%
05      2,300.9036
↘9.200, 0.40%
06      2,291.6988
↗9.205, 0.40%
07      2,291.8057
↘0.107, 0.00%
08      2,301.2959
↘9.490, 0.41%
09      2,301.4083
↘0.112, 0.00%
10      2,301.3998
↗0.008, 0.00%
11      2,302.1036
↘0.704, 0.03%
12      2,302.1036
→0.000, 0.00%
13      2,302.1035
↗0.000, 0.00%
14      2,300.6007
↗1.503, 0.07%
15      2,300.6974
↘0.097, 0.00%
16      2,299.6012
↗1.096, 0.05%
17      2,298.2979
↗1.303, 0.06%
18      2,297.1036
↗1.194, 0.05%
19      2,297.1036
→0.000, 0.00%
20      2,297.1023
↗0.001, 0.00%
21      2,296.1925
↗0.910, 0.04%
22      2,296.0994
↗0.093, 0.00%
23      2,297.6040
↘1.505, 0.07%
24      2,297.5985
↗0.006, 0.00%
25      2,303.5036
↘5.905, 0.26%
26      2,303.5036
→0.000, 0.00%
27      2,303.4932
↗0.010, 0.00%
28      2,302.9145
↗0.579, 0.03%
29      2,302.4712
↗0.443, 0.02%
30      2,303.2847
↘0.813, 0.04%
31      2,303.6999
↘0.415, 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”);
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title: ‘Date’
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‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_10’));
chart.draw(data, options);
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September, 2019

01      2,301.9036
02      2,298.9503
↗2.953, 0.13%
03      2,299.1004
↘0.150, 0.01%
04      2,297.9014
↗1.199, 0.05%
05      2,297.9999
↘0.099, 0.00%
06      2,299.0003
↘1.000, 0.04%
07      2,277.9036
↗21.097, 0.92%
08      2,299.0001
↘21.096, 0.93%
09      2,293.2501
↗5.750, 0.25%
10      2,299.7029
↘6.453, 0.28%
11      2,298.9499
↗0.753, 0.03%
12      2,297.7976
↗1.152, 0.05%
13      2,299.0003
↘1.203, 0.05%
14      2,299.0003
→0.000, 0.00%
15      2,299.0003
↗0.000, 0.00%
16      2,298.3988
↗0.602, 0.03%
17      2,298.4018
↘0.003, 0.00%
18      2,298.1998
↗0.202, 0.01%
19      2,297.9010
↗0.299, 0.01%
20      2,298.2036
↘0.303, 0.01%
21      2,298.2036
→0.000, 0.00%
22      2,298.2048
↘0.001, 0.00%
23      2,298.3107
↘0.106, 0.00%
24      2,298.2081
↗0.103, 0.00%
25      2,299.6039
↘1.396, 0.06%
26      2,298.7973
↗0.807, 0.04%
27      2,299.1036
↘0.306, 0.01%
28      2,297.6036
↗1.500, 0.07%
29      2,297.5975
↗0.006, 0.00%
30      2,302.8502
↘5.253, 0.23%
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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‘colors’:[”]
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chart.draw(data, options);
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August, 2019

01      2,298.9997
02      2,299.1036
↘0.104, 0.00%
03      2,299.1036
→0.000, 0.00%
04      2,299.1020
↗0.002, 0.00%
05      2,299.3978
↘0.296, 0.01%
06      2,297.8999
↗1.498, 0.07%
07      2,298.7903
↘0.890, 0.04%
08      2,300.3939
↘1.604, 0.07%
09      2,299.2036
↗1.190, 0.05%
10      2,299.2036
→0.000, 0.00%
11      2,299.0957
↗0.108, 0.00%
12      2,300.1988
↘1.103, 0.05%
13      2,302.2104
↘2.012, 0.09%
14      2,298.9025
↗3.308, 0.14%
15      2,301.9001
↘2.998, 0.13%
16      2,299.3036
↗2.596, 0.11%
17      2,299.3036
→0.000, 0.00%
18      2,299.3017
↗0.002, 0.00%
19      2,299.2054
↗0.096, 0.00%
20      2,298.9998
↗0.206, 0.01%
21      2,298.9999
↘0.000, 0.00%
22      2,298.5865
↗0.413, 0.02%
23      2,299.1036
↘0.517, 0.02%
24      2,261.5504
↗37.553, 1.63%
25      2,299.0992
↘37.549, 1.66%
26      2,298.2940
↗0.805, 0.04%
27      2,299.3953
↘1.101, 0.05%
28      2,298.1023
↗1.293, 0.06%
29      2,298.4028
↘0.301, 0.01%
30      2,301.9036
↘3.501, 0.15%
31      2,301.9036
→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”),2,299.000,2,299.00],[new Date(“2019-08-02”),2,299.104,2,299.10],[new Date(“2019-08-03”),2,299.104,2,299.10],[new Date(“2019-08-04”),2,299.102,2,299.10],[new Date(“2019-08-05”),2,299.398,2,299.40],[new Date(“2019-08-06”),2,297.900,2,297.90],[new Date(“2019-08-07”),2,298.790,2,298.79],[new Date(“2019-08-08”),2,300.394,2,300.39],[new Date(“2019-08-09”),2,299.204,2,299.20],[new Date(“2019-08-10”),2,299.204,2,299.20],[new Date(“2019-08-11”),2,299.096,2,299.10],[new Date(“2019-08-12”),2,300.199,2,300.20],[new Date(“2019-08-13”),2,302.210,2,302.21],[new Date(“2019-08-14”),2,298.902,2,298.90],[new Date(“2019-08-15”),2,301.900,2,301.90],[new Date(“2019-08-16”),2,299.304,2,299.30],[new Date(“2019-08-17”),2,299.304,2,299.30],[new Date(“2019-08-18”),2,299.302,2,299.30],[new Date(“2019-08-19”),2,299.205,2,299.21],[new Date(“2019-08-20”),2,299.000,2,299.00],[new Date(“2019-08-21”),2,299.000,2,299.00],[new Date(“2019-08-22”),2,298.586,2,298.59],[new Date(“2019-08-23”),2,299.104,2,299.10],[new Date(“2019-08-24”),2,261.550,2,261.55],[new Date(“2019-08-25”),2,299.099,2,299.10],[new Date(“2019-08-26”),2,298.294,2,298.29],[new Date(“2019-08-27”),2,299.395,2,299.40],[new Date(“2019-08-28”),2,298.102,2,298.10],[new Date(“2019-08-29”),2,298.403,2,298.40],[new Date(“2019-08-30”),2,301.904,2,301.90],[new Date(“2019-08-31″),2,301.904,2,301.90],]);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      2,300.0000
02      2,301.7502
↘1.750, 0.08%
03      2,302.9997
↘1.250, 0.05%
04      2,298.9999
↗4.000, 0.17%
05      2,297.4036
↗1.596, 0.07%
06      2,297.4036
→0.000, 0.00%
07      2,297.4015
↗0.002, 0.00%
08      2,297.7002
↘0.299, 0.01%
09      2,299.2020
↘1.502, 0.07%
10      2,297.0002
↗2.202, 0.10%
11      2,296.9998
↗0.000, 0.00%
12      2,300.0003
↘3.001, 0.13%
13      2,300.0003
→0.000, 0.00%
14      2,300.0003
↗0.000, 0.00%
15      2,302.3984
↘2.398, 0.10%
16      2,298.6992
↗3.699, 0.16%
17      2,299.0001
↘0.301, 0.01%
18      2,300.1985
↘1.198, 0.05%
19      2,300.1036
↗0.095, 0.00%
20      2,301.0003
↘0.897, 0.04%
21      2,300.9998
↗0.001, 0.00%
22      2,299.2419
↗1.758, 0.08%
23      2,298.8988
↗0.343, 0.01%
24      2,301.7978
↘2.899, 0.13%
25      2,300.5176
↗1.280, 0.06%
26      2,300.3036
↗0.214, 0.01%
27      2,300.3036
→0.000, 0.00%
28      2,300.3005
↗0.003, 0.00%
29      2,299.1993
↗1.101, 0.05%
30      2,298.9999
↗0.199, 0.01%
31      2,298.8015
↗0.198, 0.01%
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”),2,300.000,2,300.00],[new Date(“2019-07-02”),2,301.750,2,301.75],[new Date(“2019-07-03”),2,303.000,2,303.00],[new Date(“2019-07-04”),2,299.000,2,299.00],[new Date(“2019-07-05”),2,297.404,2,297.40],[new Date(“2019-07-06”),2,297.404,2,297.40],[new Date(“2019-07-07”),2,297.402,2,297.40],[new Date(“2019-07-08”),2,297.700,2,297.70],[new Date(“2019-07-09”),2,299.202,2,299.20],[new Date(“2019-07-10”),2,297.000,2,297.00],[new Date(“2019-07-11”),2,297.000,2,297.00],[new Date(“2019-07-12”),2,300.000,2,300.00],[new Date(“2019-07-13”),2,300.000,2,300.00],[new Date(“2019-07-14”),2,300.000,2,300.00],[new Date(“2019-07-15”),2,302.398,2,302.40],[new Date(“2019-07-16”),2,298.699,2,298.70],[new Date(“2019-07-17”),2,299.000,2,299.00],[new Date(“2019-07-18”),2,300.198,2,300.20],[new Date(“2019-07-19”),2,300.104,2,300.10],[new Date(“2019-07-20”),2,301.000,2,301.00],[new Date(“2019-07-21”),2,301.000,2,301.00],[new Date(“2019-07-22”),2,299.242,2,299.24],[new Date(“2019-07-23”),2,298.899,2,298.90],[new Date(“2019-07-24”),2,301.798,2,301.80],[new Date(“2019-07-25”),2,300.518,2,300.52],[new Date(“2019-07-26”),2,300.304,2,300.30],[new Date(“2019-07-27”),2,300.304,2,300.30],[new Date(“2019-07-28”),2,300.301,2,300.30],[new Date(“2019-07-29”),2,299.199,2,299.20],[new Date(“2019-07-30”),2,299.000,2,299.00],[new Date(“2019-07-31″),2,298.802,2,298.80],]);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      2,300.0003
02      2,299.9998
↗0.000, 0.00%
03      2,298.0004
↗1.999, 0.09%
04      2,297.6067
↗0.394, 0.02%
05      2,296.3006
↗1.306, 0.06%
06      2,299.1934
↘2.893, 0.13%
07      2,297.3036
↗1.890, 0.08%
08      2,297.3036
→0.000, 0.00%
09      2,297.3002
↗0.003, 0.00%
10      2,298.2026
↘0.902, 0.04%
11      2,298.0001
↗0.202, 0.01%
12      2,300.4074
↘2.407, 0.10%
13      2,300.2052
↗0.202, 0.01%
14      2,298.9036
↗1.302, 0.06%
15      2,305.5036
↘6.600, 0.29%
16      2,298.8976
↗6.606, 0.29%
17      2,299.8989
↘1.001, 0.04%
18      2,298.1005
↗1.798, 0.08%
19      2,298.0004
↗0.100, 0.00%
20      2,299.9020
↘1.902, 0.08%
21      2,300.2036
↘0.302, 0.01%
22      2,300.2036
→0.000, 0.00%
23      2,300.1962
↗0.007, 0.00%
24      2,304.0000
↘3.804, 0.17%
25      2,298.6020
↗5.398, 0.23%
26      2,299.2006
↘0.599, 0.03%
27      2,303.2829
↘4.082, 0.18%
28      2,299.4036
↗3.879, 0.17%
29      2,299.4036
→0.000, 0.00%
30      2,299.3978
↗0.006, 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”),2,300.000,2,300.00],[new Date(“2019-06-02”),2,300.000,2,300.00],[new Date(“2019-06-03”),2,298.000,2,298.00],[new Date(“2019-06-04”),2,297.607,2,297.61],[new Date(“2019-06-05”),2,296.301,2,296.30],[new Date(“2019-06-06”),2,299.193,2,299.19],[new Date(“2019-06-07”),2,297.304,2,297.30],[new Date(“2019-06-08”),2,297.304,2,297.30],[new Date(“2019-06-09”),2,297.300,2,297.30],[new Date(“2019-06-10”),2,298.203,2,298.20],[new Date(“2019-06-11”),2,298.000,2,298.00],[new Date(“2019-06-12”),2,300.407,2,300.41],[new Date(“2019-06-13”),2,300.205,2,300.21],[new Date(“2019-06-14”),2,298.904,2,298.90],[new Date(“2019-06-15”),2,305.504,2,305.50],[new Date(“2019-06-16”),2,298.898,2,298.90],[new Date(“2019-06-17”),2,299.899,2,299.90],[new Date(“2019-06-18”),2,298.101,2,298.10],[new Date(“2019-06-19”),2,298.000,2,298.00],[new Date(“2019-06-20”),2,299.902,2,299.90],[new Date(“2019-06-21”),2,300.204,2,300.20],[new Date(“2019-06-22”),2,300.204,2,300.20],[new Date(“2019-06-23”),2,300.196,2,300.20],[new Date(“2019-06-24”),2,304.000,2,304.00],[new Date(“2019-06-25”),2,298.602,2,298.60],[new Date(“2019-06-26”),2,299.201,2,299.20],[new Date(“2019-06-27”),2,303.283,2,303.28],[new Date(“2019-06-28”),2,299.404,2,299.40],[new Date(“2019-06-29”),2,299.404,2,299.40],[new Date(“2019-06-30″),2,299.398,2,299.40],]);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_6’));
chart.draw(data, options);
}

May, 2019

01      2,302.5949
02      2,315.0989
↘12.504, 0.54%
03      2,305.1036
↗9.995, 0.43%
04      2,305.1036
→0.000, 0.00%
05      2,305.1011
↗0.003, 0.00%
06      2,305.1189
↘0.018, 0.00%
07      2,302.7989
↗2.320, 0.10%
08      2,299.8031
↗2.996, 0.13%
09      2,302.5097
↘2.707, 0.12%
10      2,300.4036
↗2.106, 0.09%
11      2,300.4036
→0.000, 0.00%
12      2,300.3985
↗0.005, 0.00%
13      2,300.1696
↗0.229, 0.01%
14      2,304.9035
↘4.734, 0.21%
15      2,299.0003
↗5.903, 0.26%
16      2,300.0002
↘1.000, 0.04%
17      2,305.0003
↘5.000, 0.22%
18      2,305.0003
→0.000, 0.00%
19      2,304.9999
↗0.000, 0.00%
20      2,299.8942
↗5.106, 0.22%
21      2,299.2992
↗0.595, 0.03%
22      2,303.2035
↘3.904, 0.17%
23      2,300.0958
↗3.108, 0.13%
24      2,296.4036
↗3.692, 0.16%
25      2,292.8036
↗3.600, 0.16%
26      2,296.3979
↘3.594, 0.16%
27      2,295.1951
↗1.203, 0.05%
28      2,303.0001
↘7.805, 0.34%
29      2,298.4006
↗4.600, 0.20%
30      2,296.0002
↗2.400, 0.10%
31      2,300.0003
↘4.000, 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(“2019-05-01”),2,302.595,2,302.59],[new Date(“2019-05-02”),2,315.099,2,315.10],[new Date(“2019-05-03”),2,305.104,2,305.10],[new Date(“2019-05-04”),2,305.104,2,305.10],[new Date(“2019-05-05”),2,305.101,2,305.10],[new Date(“2019-05-06”),2,305.119,2,305.12],[new Date(“2019-05-07”),2,302.799,2,302.80],[new Date(“2019-05-08”),2,299.803,2,299.80],[new Date(“2019-05-09”),2,302.510,2,302.51],[new Date(“2019-05-10”),2,300.404,2,300.40],[new Date(“2019-05-11”),2,300.404,2,300.40],[new Date(“2019-05-12”),2,300.398,2,300.40],[new Date(“2019-05-13”),2,300.170,2,300.17],[new Date(“2019-05-14”),2,304.903,2,304.90],[new Date(“2019-05-15”),2,299.000,2,299.00],[new Date(“2019-05-16”),2,300.000,2,300.00],[new Date(“2019-05-17”),2,305.000,2,305.00],[new Date(“2019-05-18”),2,305.000,2,305.00],[new Date(“2019-05-19”),2,305.000,2,305.00],[new Date(“2019-05-20”),2,299.894,2,299.89],[new Date(“2019-05-21”),2,299.299,2,299.30],[new Date(“2019-05-22”),2,303.203,2,303.20],[new Date(“2019-05-23”),2,300.096,2,300.10],[new Date(“2019-05-24”),2,296.404,2,296.40],[new Date(“2019-05-25”),2,292.804,2,292.80],[new Date(“2019-05-26”),2,296.398,2,296.40],[new Date(“2019-05-27”),2,295.195,2,295.20],[new Date(“2019-05-28”),2,303.000,2,303.00],[new Date(“2019-05-29”),2,298.401,2,298.40],[new Date(“2019-05-30”),2,296.000,2,296.00],[new Date(“2019-05-31″),2,300.000,2,300.00],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_5’));
chart.draw(data, options);
}

April, 2019

01      2,314.7011
02      2,310.3932
↗4.308, 0.19%
03      2,313.7650
↘3.372, 0.15%
04      2,314.9996
↘1.235, 0.05%
05      2,315.4036
↘0.404, 0.02%
06      2,315.4036
→0.000, 0.00%
07      2,315.3979
↗0.006, 0.00%
08      2,315.0907
↗0.307, 0.01%
09      2,311.3998
↗3.691, 0.16%
10      2,315.3016
↘3.902, 0.17%
11      2,320.2004
↘4.899, 0.21%
12      2,315.4036
↗4.797, 0.21%
13      2,308.6504
↗6.753, 0.29%
14      2,315.4081
↘6.758, 0.29%
15      2,315.0000
↗0.408, 0.02%
16      2,317.4001
↘2.400, 0.10%
17      2,315.4025
↗1.998, 0.09%
18      2,305.2016
↗10.201, 0.44%
19      2,305.2036
↘0.002, 0.00%
20      2,305.2036
→0.000, 0.00%
21      2,305.2012
↗0.002, 0.00%
22      2,313.3023
↘8.101, 0.35%
23      2,305.0969
↗8.205, 0.35%
24      2,305.0003
↗0.097, 0.00%
25      2,305.2974
↘0.297, 0.01%
26      2,305.2036
↗0.094, 0.00%
27      2,299.5504
↗5.653, 0.25%
28      2,305.1997
↘5.649, 0.25%
29      2,305.2998
↘0.100, 0.00%
30      2,303.2227
↗2.077, 0.09%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2019-04-01”),2,314.701,2,314.70],[new Date(“2019-04-02”),2,310.393,2,310.39],[new Date(“2019-04-03”),2,313.765,2,313.76],[new Date(“2019-04-04”),2,315.000,2,315.00],[new Date(“2019-04-05”),2,315.404,2,315.40],[new Date(“2019-04-06”),2,315.404,2,315.40],[new Date(“2019-04-07”),2,315.398,2,315.40],[new Date(“2019-04-08”),2,315.091,2,315.09],[new Date(“2019-04-09”),2,311.400,2,311.40],[new Date(“2019-04-10”),2,315.302,2,315.30],[new Date(“2019-04-11”),2,320.200,2,320.20],[new Date(“2019-04-12”),2,315.404,2,315.40],[new Date(“2019-04-13”),2,308.650,2,308.65],[new Date(“2019-04-14”),2,315.408,2,315.41],[new Date(“2019-04-15”),2,315.000,2,315.00],[new Date(“2019-04-16”),2,317.400,2,317.40],[new Date(“2019-04-17”),2,315.403,2,315.40],[new Date(“2019-04-18”),2,305.202,2,305.20],[new Date(“2019-04-19”),2,305.204,2,305.20],[new Date(“2019-04-20”),2,305.204,2,305.20],[new Date(“2019-04-21”),2,305.201,2,305.20],[new Date(“2019-04-22”),2,313.302,2,313.30],[new Date(“2019-04-23”),2,305.097,2,305.10],[new Date(“2019-04-24”),2,305.000,2,305.00],[new Date(“2019-04-25”),2,305.297,2,305.30],[new Date(“2019-04-26”),2,305.204,2,305.20],[new Date(“2019-04-27”),2,299.550,2,299.55],[new Date(“2019-04-28”),2,305.200,2,305.20],[new Date(“2019-04-29”),2,305.300,2,305.30],[new Date(“2019-04-30″),2,303.223,2,303.22],]);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_4’));
chart.draw(data, options);
}

March, 2019

01      2,345.3036
02      2,345.3036
→0.000, 0.00%
03      2,345.2936
↗0.010, 0.00%
04      2,344.9999
↗0.294, 0.01%
05      2,345.4999
↘0.500, 0.02%
06      2,344.3992
↗1.101, 0.05%
07      2,364.2910
↘19.892, 0.85%
08      2,344.3036
↗19.987, 0.85%
09      2,344.3036
→0.000, 0.00%
10      2,344.2975
↗0.006, 0.00%
11      2,343.0980
↗1.200, 0.05%
12      2,343.3015
↘0.204, 0.01%
13      2,345.3081
↘2.007, 0.09%
14      2,344.8987
↗0.409, 0.02%
15      2,345.4036
↘0.505, 0.02%
16      2,345.4036
→0.000, 0.00%
17      2,344.2974
↗1.106, 0.05%
18      2,349.4499
↘5.153, 0.22%
19      2,345.3082
↗4.142, 0.18%
20      2,344.9999
↗0.308, 0.01%
21      2,342.5978
↗2.402, 0.10%
22      2,343.3036
↘0.706, 0.03%
23      2,339.4504
↗3.853, 0.16%
24      2,345.0000
↘5.550, 0.24%
25      2,345.2936
↘0.294, 0.01%
26      2,340.2044
↗5.089, 0.22%
27      2,340.4959
↘0.292, 0.01%
28      2,327.7979
↗12.698, 0.54%
29      2,315.2036
↗12.594, 0.54%
30      2,315.2036
→0.000, 0.00%
31      2,315.1979
↗0.006, 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”),2,345.304,2,345.30],[new Date(“2019-03-02”),2,345.304,2,345.30],[new Date(“2019-03-03”),2,345.294,2,345.29],[new Date(“2019-03-04”),2,345.000,2,345.00],[new Date(“2019-03-05”),2,345.500,2,345.50],[new Date(“2019-03-06”),2,344.399,2,344.40],[new Date(“2019-03-07”),2,364.291,2,364.29],[new Date(“2019-03-08”),2,344.304,2,344.30],[new Date(“2019-03-09”),2,344.304,2,344.30],[new Date(“2019-03-10”),2,344.297,2,344.30],[new Date(“2019-03-11”),2,343.098,2,343.10],[new Date(“2019-03-12”),2,343.302,2,343.30],[new Date(“2019-03-13”),2,345.308,2,345.31],[new Date(“2019-03-14”),2,344.899,2,344.90],[new Date(“2019-03-15”),2,345.404,2,345.40],[new Date(“2019-03-16”),2,345.404,2,345.40],[new Date(“2019-03-17”),2,344.297,2,344.30],[new Date(“2019-03-18”),2,349.450,2,349.45],[new Date(“2019-03-19”),2,345.308,2,345.31],[new Date(“2019-03-20”),2,345.000,2,345.00],[new Date(“2019-03-21”),2,342.598,2,342.60],[new Date(“2019-03-22”),2,343.304,2,343.30],[new Date(“2019-03-23”),2,339.450,2,339.45],[new Date(“2019-03-24”),2,345.000,2,345.00],[new Date(“2019-03-25”),2,345.294,2,345.29],[new Date(“2019-03-26”),2,340.204,2,340.20],[new Date(“2019-03-27”),2,340.496,2,340.50],[new Date(“2019-03-28”),2,327.798,2,327.80],[new Date(“2019-03-29”),2,315.204,2,315.20],[new Date(“2019-03-30”),2,315.204,2,315.20],[new Date(“2019-03-31″),2,315.198,2,315.20],]);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_3’));
chart.draw(data, options);
}

February, 2019

01      2,311.2036
02      2,311.2036
→0.000, 0.00%
03      2,311.1995
↗0.004, 0.00%
04      2,317.3131
↘6.114, 0.26%
05      2,323.2974
↘5.984, 0.26%
06      2,316.8974
↗6.400, 0.28%
07      2,322.3914
↘5.494, 0.24%
08      2,320.2036
↗2.188, 0.09%
09      2,322.8036
↘2.600, 0.11%
10      2,320.2203
↗2.583, 0.11%
11      2,325.4005
↘5.180, 0.22%
12      2,324.6002
↗0.800, 0.03%
13      2,325.1098
↘0.510, 0.02%
14      2,330.1955
↘5.086, 0.22%
15      2,330.4036
↘0.208, 0.01%
16      2,330.4036
→0.000, 0.00%
17      2,330.3975
↗0.006, 0.00%
18      2,332.1020
↘1.704, 0.07%
19      2,333.1029
↘1.001, 0.04%
20      2,332.0963
↗1.007, 0.04%
21      2,330.2018
↗1.894, 0.08%
22      2,344.0003
↘13.798, 0.59%
23      2,339.4036
↗4.597, 0.20%
24      2,343.9998
↘4.596, 0.20%
25      2,345.1006
↘1.101, 0.05%
26      2,344.7980
↗0.303, 0.01%
27      2,340.1993
↗4.599, 0.20%
28      2,351.8024
↘11.603, 0.50%
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”),2,311.204,2,311.20],[new Date(“2019-02-02”),2,311.204,2,311.20],[new Date(“2019-02-03”),2,311.200,2,311.20],[new Date(“2019-02-04”),2,317.313,2,317.31],[new Date(“2019-02-05”),2,323.297,2,323.30],[new Date(“2019-02-06”),2,316.897,2,316.90],[new Date(“2019-02-07”),2,322.391,2,322.39],[new Date(“2019-02-08”),2,320.204,2,320.20],[new Date(“2019-02-09”),2,322.804,2,322.80],[new Date(“2019-02-10”),2,320.220,2,320.22],[new Date(“2019-02-11”),2,325.401,2,325.40],[new Date(“2019-02-12”),2,324.600,2,324.60],[new Date(“2019-02-13”),2,325.110,2,325.11],[new Date(“2019-02-14”),2,330.195,2,330.20],[new Date(“2019-02-15”),2,330.404,2,330.40],[new Date(“2019-02-16”),2,330.404,2,330.40],[new Date(“2019-02-17”),2,330.398,2,330.40],[new Date(“2019-02-18”),2,332.102,2,332.10],[new Date(“2019-02-19”),2,333.103,2,333.10],[new Date(“2019-02-20”),2,332.096,2,332.10],[new Date(“2019-02-21”),2,330.202,2,330.20],[new Date(“2019-02-22”),2,344.000,2,344.00],[new Date(“2019-02-23”),2,339.404,2,339.40],[new Date(“2019-02-24”),2,344.000,2,344.00],[new Date(“2019-02-25”),2,345.101,2,345.10],[new Date(“2019-02-26”),2,344.798,2,344.80],[new Date(“2019-02-27”),2,340.199,2,340.20],[new Date(“2019-02-28″),2,351.802,2,351.80],]);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      2,299.9998
02      2,300.6198
↘0.620, 0.03%
03      2,299.9998
↗0.620, 0.03%
04      2,300.4036
↘0.404, 0.02%
05      2,300.4036
→0.000, 0.00%
06      2,300.3985
↗0.005, 0.00%
07      2,302.9284
↘2.530, 0.11%
08      2,300.0986
↗2.830, 0.12%
09      2,299.8999
↗0.199, 0.01%
10      2,302.5967
↘2.697, 0.12%
11      2,302.3036
↗0.293, 0.01%
12      2,302.3036
→0.000, 0.00%
13      2,302.3007
↗0.003, 0.00%
14      2,300.1111
↗2.190, 0.10%
15      2,305.3038
↘5.193, 0.23%
16      2,305.0003
↗0.303, 0.01%
17      2,307.8002
↘2.800, 0.12%
18      2,308.2036
↘0.403, 0.02%
19      2,308.2036
→0.000, 0.00%
20      2,308.1974
↗0.006, 0.00%
21      2,311.9996
↘3.802, 0.16%
22      2,308.2990
↗3.701, 0.16%
23      2,315.3029
↘7.004, 0.30%
24      2,311.6976
↗3.605, 0.16%
25      2,311.8036
↘0.106, 0.00%
26      2,302.0003
↗9.803, 0.42%
27      2,308.3015
↘6.301, 0.27%
28      2,310.0002
↘1.699, 0.07%
29      2,313.0001
↘3.000, 0.13%
30      2,315.0993
↘2.099, 0.09%
31      2,323.4990
↘8.400, 0.36%
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”),2,300.000,2,300.00],[new Date(“2019-01-02”),2,300.620,2,300.62],[new Date(“2019-01-03”),2,300.000,2,300.00],[new Date(“2019-01-04”),2,300.404,2,300.40],[new Date(“2019-01-05”),2,300.404,2,300.40],[new Date(“2019-01-06”),2,300.398,2,300.40],[new Date(“2019-01-07”),2,302.928,2,302.93],[new Date(“2019-01-08”),2,300.099,2,300.10],[new Date(“2019-01-09”),2,299.900,2,299.90],[new Date(“2019-01-10”),2,302.597,2,302.60],[new Date(“2019-01-11”),2,302.304,2,302.30],[new Date(“2019-01-12”),2,302.304,2,302.30],[new Date(“2019-01-13”),2,302.301,2,302.30],[new Date(“2019-01-14”),2,300.111,2,300.11],[new Date(“2019-01-15”),2,305.304,2,305.30],[new Date(“2019-01-16”),2,305.000,2,305.00],[new Date(“2019-01-17”),2,307.800,2,307.80],[new Date(“2019-01-18”),2,308.204,2,308.20],[new Date(“2019-01-19”),2,308.204,2,308.20],[new Date(“2019-01-20”),2,308.197,2,308.20],[new Date(“2019-01-21”),2,312.000,2,312.00],[new Date(“2019-01-22”),2,308.299,2,308.30],[new Date(“2019-01-23”),2,315.303,2,315.30],[new Date(“2019-01-24”),2,311.698,2,311.70],[new Date(“2019-01-25”),2,311.804,2,311.80],[new Date(“2019-01-26”),2,302.000,2,302.00],[new Date(“2019-01-27”),2,308.302,2,308.30],[new Date(“2019-01-28”),2,310.000,2,310.00],[new Date(“2019-01-29”),2,313.000,2,313.00],[new Date(“2019-01-30”),2,315.099,2,315.10],[new Date(“2019-01-31″),2,323.499,2,323.50],]);var options = {
hAxis: {
title: ‘Date’
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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);
}