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Pinger data explorer is primarily used to visualize the trends in the Internet end-to-end performance statistics measured over 200 170 countries from +90 active PingER monitoring hosts. Having gathered data since 1998, the explorer graphs enable the users to study the trends, step changes, significant improvements/degradations.
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Default view | Highlighted countries with |
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Usage
By default the pinger data explorer shows the bubble chart between throughput in log scale to average_rtt in log scale. Each bubble represents a country. The size of the bubble shows population of the country. The color of the bubble shows the region of the country. The motion is the time. The time granularity is by the year. Click on the play button to initiate motion.
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The scripts and files are placed at /afs/slac.stanford.edu/package/pinger/explorer . Two scripts have to be run for generating the data file in the format required by the google data explorer. First script is generate-metric-files-for-explorer.pl . This script takes metric values from prmout folder (http://www-iepm.slac.stanford.edu/pinger/prmout/ AKA /afs/slac/g/www/www-iepm/pinger//prmout , (you can use ls -lt /afs/slac/g/www/www-iepm/pinger//prmout/ | grep SLAC | grep allyear | more to find the latest relevant files, see below) and transposes the data such that years are now incremented vertically and not horizontally. The files generated by generate-metric-files-for-explorer.pl are then given as an input to the script generate-alldata-for-pinger-data-explorer.pl, which outputs the data for all the metrics altogether in one file named file.csv. This file is in the format as required by the google data explorer.The metric files placed in prmout, for example, average_rtt
ls -lt /afs/slac/g/www/www-iepm/pinger//prmout/ | grep SLAC | grep allyear | more
-rw-rw-rw- 1 cottrell sf 17108 Jan 4 09:26 unreachability-EDU.SLAC.STANFORD.N3-country-allyearly.csv
-rw-rw-rw- 1 cottrell sf 18886 Jan 4 09:23 ipdv-EDU.SLAC.STANFORD.N3-country-allyearly.csv
-rw-rw-rw- 1 cottrell sf 18524 Jan 4 09:20 packet_loss-EDU.SLAC.STANFORD.N3-country-allyearly.csv have the data in the format shown below:
| Code Block |
|---|
allyearly,?,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011
EDU.SLAC.STANFORD.N3-to-Afghanistan,.,.,.,.,.,.,.,.,.,.,767.453,732.841,728.492,750.940,743.080
EDU.SLAC.STANFORD.N3-to-Albania,.,.,.,.,.,.,.,.,.,.,.,234.933,235.681,254.324,225.474
EDU.SLAC.STANFORD.N3-to-Algeria,.,.,.,.,.,.,.,.,197.772,271.337,354.233,242.616,369.479,224.162,239.514
EDU.SLAC.STANFORD.N3-to-Andorra,.,.,.,.,.,.,.,.,.,.,171.471,166.487,172.334,180.878,181.307
EDU.SLAC.STANFORD.N3-to-Angola,.,.,.,.,.,.,.,.,.,622.280,610.272,642.821,556.701,617.649,.
EDU.SLAC.STANFORD.N3-to-Argentina,.,.,.,.,.,.,.,.,.,210.563,196.282,269.567,284.886,285.094,310.711
EDU.SLAC.STANFORD.N3-to-Armenia,.,.,.,.,.,.,553.942,433.564,590.536,613.230,532.564,370.588,255.761,248.554,237.400
EDU.SLAC.STANFORD.N3-to-Australia,.,.,.,.,.,.,.,.,.,211.440,193.981,180.105,181.620,190.176,179.072
EDU.SLAC.STANFORD.N3-to-Austria,.,.,.,.,.,.,.,.,.,.,180.361,185.830,178.831,180.726,180.207
EDU.SLAC.STANFORD.N3-to-Azerbaijan,.,.,.,.,.,.,.,.,.,.,.,257.763,269.463,256.694,252.713
EDU.SLAC.STANFORD.N3-to-Bahamas,.,.,.,.,.,.,.,.,.,.,.,109.626,110.701,817.097,112.252
EDU.SLAC.STANFORD.N3-to-Bahrain,.,.,.,.,.,.,.,.,.,.,664.547,333.670,316.139,313.444,295.960
EDU.SLAC.STANFORD.N3-to-Bangladesh,.,.,.,.,.,1562.224,1222.391,1039.782,1084.855,842.794,545.756,496.707,426.840,350.780,371.552
EDU.SLAC.STANFORD.N3-to-Belarus,.,.,.,.,.,.,1770.143,2322.474,227.052,206.936,205.880,222.485,258.829,281.173,205.689
EDU.SLAC.STANFORD.N3-to-Belgium,.,.,.,.,.,.,.,.,.,.,158.697,160.445,158.798,164.117,160.686
EDU.SLAC.STANFORD.N3-to-Benin,.,.,.,.,.,.,.,.,417.760,535.608,382.265,366.215,485.181,377.928,331.121
EDU.SLAC.STANFORD.N3-to-Bhutan,.,.,.,.,.,.,.,.,.,.,.,622.936,356.257,327.709,332.479
EDU.SLAC.STANFORD.N3-to-Bolivia,.,.,.,.,.,.,.,.,.,381.975,368.615,304.993,262.934,227.907,202.485
EDU.SLAC.STANFORD.N3-to-Bosnia Herzegovina,.,.,.,.,.,.,.,.,.,.,207.925,209.180,194.950,203.405,204.102
EDU.SLAC.STANFORD.N3-to-Botswana,.,.,.,.,.,.,.,.,.,.,.,.,416.286,431.282,443.501
EDU.SLAC.STANFORD.N3-to-Brazil,.,.,.,.,.,195.192,213.593,246.179,279.903,208.264,229.659,236.297,238.008,237.791,236.176
EDU.SLAC.STANFORD.N3-to-Brunei,.,.,.,.,.,.,.,309.591,498.171,339.716,269.697,285.392,266.995,265.540,296.008
EDU.SLAC.STANFORD.N3-to-Bulgaria,.,.,.,.,.,.,.,.,.,.,193.049,211.796,202.603,205.785,200.523
EDU.SLAC.STANFORD.N3-to-Burkina Faso,.,.,.,.,.,.,1006.037,1004.097,904.836,765.485,306.416,339.176,321.502,367.969,330.849
EDU.SLAC.STANFORD.N3-to-Burundi,.,.,.,.,.,.,.,.,.,889.260,845.340,665.150,666.138,670.703,686.103
EDU.SLAC.STANFORD.N3-to-Cambodia,.,.,.,.,.,.,.,.,.,.,261.756,253.511,253.505,225.453,233.720
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The script generate-metric-files-for-explorer.pl converts the metric files in the format below:
| Code Block |
|---|
AFG,1998,
AFG,1999,
AFG,2000,
AFG,2001,
AFG,2002,
AFG,2003,
AFG,2004,
AFG,2005,
AFG,2006,
AFG,2007,767.453
AFG,2008,732.841
AFG,2009,728.492
AFG,2010,750.940
AFG,2011,743.080
ALB,1998,
ALB,1999,
ALB,2000,
ALB,2001,
ALB,2002,
ALB,2003,
ALB,2004,
ALB,2005,
ALB,2006,
ALB,2007,
ALB,2008,234.933
ALB,2009,235.681
ALB,2010,254.324
ALB,2011,225.474
DZA,1998,
DZA,1999,
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With all the metric files in the above format, a file has to be generated with data for allmetrics altogether as below:
-rw-rw-rw- 1 cottrell sf 21477 Jan 4 09:16 minimum_rtt-EDU.SLAC.STANFORD.N3-country-allyearly.csv
-rw-rw-rw- 1 cottrell sf 18099 Jan 4 09:13 alpha-EDU.SLAC.STANFORD.N3-country-allyearly.csv
-rw-rw-rw- 1 cottrell sf 15112 Jan 4 09:06 MOS-EDU.SLAC.STANFORD.N3-country-allyearly.csv
-rw-rw-rw- 1 cottrell sf 30900 Jan 4 08:48 nthroughput-EDU.SLAC.STANFORD.N3-country-allyearly.csv
-rw-rw-rw- 1 cottrell sf 21426 Jan 4 08:30 throughput-EDU.SLAC.STANFORD.N3-country-allyearly.csv
-rw-rw-rw- 1 cottrell sf 21561 Jan 4 08:27 average_rtt-EDU.SLAC.STANFORD.N3-country-allyearly.csv
-rw-rw-rw- 1 pinger sf 3359 Jan 4 08:08 nthroughput-EDU.SLAC.STANFORD.N3-continent-allyearly.csv
-rw-rw-rw- 1 pinger sf 2190 Jan 4 08:02 minimum_rtt-EDU.SLAC.STANFORD.N3-continent-allyearly.csv
-rw-rw-rw- 1 pinger sf 1837 Jan 4 07:58 ipdv-EDU.SLAC.STANFORD.N3-continent-allyearly.csv
-rw-rw-rw- 1 pinger sf 2196 Jan 4 07:53 average_rtt-EDU.SLAC.STANFORD.N3-continent-allyearly.csv
-rw-rw-rw- 1 pinger sf 1253 Jan 4 07:49 MOS-EDU.SLAC.STANFORD.N3-continent-allyearly.csv
-rw-rw-rw- 1 pinger sf 1754 Jan 4 07:43 unreachability-EDU.SLAC.STANFORD.N3-continent-allyearly.csv
-rw-rw-rw- 1 pinger sf 2225 Jan 4 07:39 throughput-EDU.SLAC.STANFORD.N3-continent-allyearly.csv
-rw-rw-rw- 1 pinger sf 1824 Jan 4 07:34 packet_loss-EDU.SLAC.STANFORD.N3-continent-allyearly.csv
-rw-rw-rw- 1 pinger sf 1485 Jan 4 2014 alpha-EDU.SLAC.STANFORD.N3-continent-allyearly.csv
The above files are updated using the command:
/afs/slac/package/pinger/analysis/wrap-analyze-allyears.pl --basedir /nfs/slac/g/net/pinger --usemetric --dataset hep --set_metric 4
that is run quarterly from a trscontab file, thus you should not need to do anything.
The files generated by /afs/slac/package/pinger/explorer/generate-metric-files-for-explorer.pl are:
326cottrell@rhel6-64i:~$ls -lt /afs/slac.stanford.edu/package/pinger/explorer
total 639
-rw-rw-r-- 1 amberzeb sg 36293 Jan 4 09:37 MOS.csv
-rw-rw-r-- 1 amberzeb sg 42913 Jan 4 09:37 average_rtt.csv
-rw-rw-r-- 1 amberzeb sg 40238 Jan 4 09:37 ipdv.csv
-rw-rw-r-- 1 amberzeb sg 42829 Jan 4 09:37 minimum_rtt.csv
-rw-rw-r-- 1 amberzeb sg 51327 Jan 4 09:37 nthroughput.csv
-rw-rw-r-- 1 amberzeb sg 39876 Jan 4 09:37 packet_loss.csv
-rw-rw-r-- 1 amberzeb sg 40887 Jan 4 09:37 throughput.csv
-rw-rw-r-- 1 amberzeb sg 35982 Jan 4 09:37 unreachability.csv
These are then given as an input to the script generate-alldata-for-pinger-data-explorer.pl (I think /afs/slac.stanford.edu/package/pinger/explorer/generate-alldata-file-for-pinger-data-explorer.pl), which outputs the data for all the metrics altogether in one file named file.csv. This file is in the format as required by the google data explorer.
The metric files placed in prmout, for example, average_rtt-EDU.SLAC.STANFORD.N3-country-allyearly.csv have the data in the format shown below:
| Code Block |
|---|
allyearly,?,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011
EDU.SLAC.STANFORD.N3-to-Afghanistan,.,.,.,.,.,.,.,.,.,.,767.453,732.841,728.492,750.940,743.080
EDU.SLAC.STANFORD.N3-to-Albania,.,.,.,.,.,.,.,.,.,.,.,234.933,235.681,254.324,225.474
EDU.SLAC.STANFORD.N3-to-Algeria,.,.,.,.,.,.,.,.,197.772,271.337,354.233,242.616,369.479,224.162,239.514
EDU.SLAC.STANFORD.N3-to-Andorra,.,.,.,.,.,.,.,.,.,.,171.471,166.487,172.334,180.878,181.307
EDU.SLAC.STANFORD.N3-to-Angola,.,.,.,.,.,.,.,.,.,622.280,610.272,642.821,556.701,617.649,.
EDU.SLAC.STANFORD.N3-to-Argentina,.,.,.,.,.,.,.,.,.,210.563,196.282,269.567,284.886,285.094,310.711
EDU.SLAC.STANFORD.N3-to-Armenia,.,.,.,.,.,.,553.942,433.564,590.536,613.230,532.564,370.588,255.761,248.554,237.400
EDU.SLAC.STANFORD.N3-to-Australia,.,.,.,.,.,.,.,.,.,211.440,193.981,180.105,181.620,190.176,179.072
EDU.SLAC.STANFORD.N3-to-Austria,.,.,.,.,.,.,.,.,.,.,180.361,185.830,178.831,180.726,180.207
EDU.SLAC.STANFORD.N3-to-Azerbaijan,.,.,.,.,.,.,.,.,.,.,.,257.763,269.463,256.694,252.713
EDU.SLAC.STANFORD.N3-to-Bahamas,.,.,.,.,.,.,.,.,.,.,.,109.626,110.701,817.097,112.252
EDU.SLAC.STANFORD.N3-to-Bahrain,.,.,.,.,.,.,.,.,.,.,664.547,333.670,316.139,313.444,295.960
EDU.SLAC.STANFORD.N3-to-Bangladesh,.,.,.,.,.,1562.224,1222.391,1039.782,1084.855,842.794,545.756,496.707,426.840,350.780,371.552
EDU.SLAC.STANFORD.N3-to-Belarus,.,.,.,.,.,.,1770.143,2322.474,227.052,206.936,205.880,222.485,258.829,281.173,205.689
EDU.SLAC.STANFORD.N3-to-Belgium,.,.,.,.,.,.,.,.,.,.,158.697,160.445,158.798,164.117,160.686
EDU.SLAC.STANFORD.N3-to-Benin,.,.,.,.,.,.,.,.,417.760,535.608,382.265,366.215,485.181,377.928,331.121
EDU.SLAC.STANFORD.N3-to-Bhutan,.,.,.,.,.,.,.,.,.,.,.,622.936,356.257,327.709,332.479
EDU.SLAC.STANFORD.N3-to-Bolivia,.,.,.,.,.,.,.,.,.,381.975,368.615,304.993,262.934,227.907,202.485
EDU.SLAC.STANFORD.N3-to-Bosnia Herzegovina,.,.,.,.,.,.,.,.,.,.,207.925,209.180,194.950,203.405,204.102
EDU.SLAC.STANFORD.N3-to-Botswana,.,.,.,.,.,.,.,.,.,.,.,.,416.286,431.282,443.501
EDU.SLAC.STANFORD.N3-to-Brazil,.,.,.,.,.,195.192,213.593,246.179,279.903,208.264,229.659,236.297,238.008,237.791,236.176
EDU.SLAC.STANFORD.N3-to-Brunei,.,.,.,.,.,.,.,309.591,498.171,339.716,269.697,285.392,266.995,265.540,296.008
EDU.SLAC.STANFORD.N3-to-Bulgaria,.,.,.,.,.,.,.,.,.,.,193.049,211.796,202.603,205.785,200.523
EDU.SLAC.STANFORD.N3-to-Burkina Faso,.,.,.,.,.,.,1006.037,1004.097,904.836,765.485,306.416,339.176,321.502,367.969,330.849
EDU.SLAC.STANFORD.N3-to-Burundi,.,.,.,.,.,.,.,.,.,889.260,845.340,665.150,666.138,670.703,686.103
EDU.SLAC.STANFORD.N3-to-Cambodia,.,.,.,.,.,.,.,.,.,.,261.756,253.511,253.505,225.453,233.720
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The script /afs/slac.stanford.edu/package/pinger/explorer/generate-metric-files-for-explorer.pl converts the metric files in the format below:
| Code Block |
|---|
AFG,1998,
AFG,1999,
AFG,2000,
AFG,2001,
AFG,2002,
AFG,2003,
AFG,2004,
AFG,2005,
AFG,2006,
AFG,2007,767.453
AFG,2008,732.841
AFG,2009,728.492
AFG,2010,750.940
AFG,2011,743.080
ALB,1998,
ALB,1999,
ALB,2000,
ALB,2001,
ALB,2002,
ALB,2003,
ALB,2004,
ALB,2005,
ALB,2006,
ALB,2007,
ALB,2008,234.933
ALB,2009,235.681
ALB,2010,254.324
ALB,2011,225.474
DZA,1998,
DZA,1999,
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With all the metric files in the above format, a file has to be generated with data for allmetrics altogether as below:
| Code Block |
|---|
ountry,year,population,average_rtt,ipdv,minimum_rtt,MOS,nthroughput,throughput,unreachability,packet_loss,internetusers
FG,1998,18511480, , , , , , , , ,
FG,1999,19038420, , , , , , , , ,
FG,2000,19701940, , , , , , , , ,
FG,2001,20531160, , , , , , , , ,1000
AFG,2002,21487079, , , , , , , , ,1000
AFG,2003,22507368, , , , , , , , ,20000
AFG,2004,23499850, , , , , , , , ,25000
AFG,2005,24399948, , , , , , , , ,300000
AFG,2006,25183615, , , , , , , , ,535000
AFG,2007,25877544,766.542,14.959,684.521, , ,104.390,12.784,12.784,500000
AFG,2008,26528741,732.168,11.963,688.990, , ,185.696,6.971,6.971,500000
AFG,2009,27207291,757.940,15.615,679.949, , ,162.520,9.399,9.399,100000
AFG,2010,27962207,758.457,16.102,673.438, , ,145.039,4.791,4.791,900472.2222
AFG,2011,28809167,748.252,12.247,695.982, , ,182.375,1.448,1.448,1016522.222
AFG,2012,29726803,742.298,12.135,696.738, , ,289.165,27.145,27.145,
AFG,2013,30682500,729.152,13.043,561.894, , ,335.934,37.886,37.886,
AFG,2014,31627506,506.886,5.919,306.091, , ,303.197,0.232,0.232,
AFG,2015,32510236,334.816,2.335,161.226, , ,392.257,0.214,0.214,
AFG,2016,34832396,310.830,2.485,275.268, , ,585.247,0.572,0.572,
AFG,2017,69664776,289.552,0.982,256.032, , ,694.266,0.580,0.580,
AFG,2018,71406395,290.077,3.220,263.951, , ,865.366,16.359,16.359,
AFG,2019,73148014,272.802,1.064,232.858, , ,800.593,0.255,0.255,
ALB,1998,3128530, , , , , , , , ,2000
ALB,1999,3108778, , , , , , , , ,2500
ALB,2000,3089027, , , , , , , , ,3500
ALB,2001,3060173, , , , , , , , ,10000
ALB,2002,3051010, , , , , , , , ,12000
ALB,2003,3039616, , , , , , , , ,30000
ALB,2004,3026939, , , , , , , , ,75000
ALB,2005,3011487, , , , , , , , ,188000
ALB,2006,2992547, , , , , , , , ,300000
ALB,2007,2970017, , , , , , , , ,471000
ALB,2008,2947314,234.798,1.700,211.463, , ,692.675,1.204,1.204,750000
ALB,2009,2927519,227.456,2.672,201.217, , ,478.448,2.437,2.437,1300000
ALB,2010,2913021,240.834,4.107,210.101, , ,323.681,2.985,2.985,719805.7143
ALB,2011,2904780,219.940,0.858,192.671, , ,669.506,0.476,0.476,783557.6786
ALB,2012,2900489,217.436,0.661,183.491, , ,1324.090,0.839,0.839,
ALB,2013,2897366,215.515,7.396,178.691, , ,503.866,0.086,0.086,
ALB,2014,2894475,210.308,1.616,176.654, , ,839.650,0.126,0.126,
ALB,2015,3540536,209.244,0.606,191.528, , ,868.063,0.111,0.111,
ALB,2016,3793431,199.113,2.030,182.726, , ,915.164,0.240,0.240,
ALB,2017,11949284,203.075,5.471,176.711, , ,837.439,0.932,0.932,
ALB,2018,12138955,183.536,1.630,175.506, , ,816.885,0.315,0.315,
ALB,2019,12328626,187.683,1.180,179.347, , ,991.819,0.471,0.471,
DZA,1998,30336880, , , , , , , , ,6000
DZA,1999,30766551, , , , , , , , ,60000
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#country,year,population,average_rtt,ipdv,minimum_rtt,MOS,nthroughput,throughput,unreachability,packet_loss,internetusers, #Internet_Penetration, DOI, HDI, CPI, IDI AFG,1998,22441529, , , , , , , , ,,0.1,0,0,0,0 AFG,1999,23028254, , , , , , , , ,,0.1,0,0,0,0 AFG,2000,23630320, , , , , , , , ,,0.1,0,0,0,0 AFG,2001,24232219, , , , , , , , ,1000,0.1,0,0,0,0 AFG,2002,24849449, , , , , , , , ,1000,0.1,0,0,0,0 AFG,2003,25482401, , , , , , , , ,20000,0.1,0,0,0,0 AFG,2004,26131476, , , , , , , , ,25000,0.1,0,0.347,0,0 AFG,2005,26797083, , , , , , , , ,300000,0.1,0,0.347,2.5,0 AFG,2006,27518809, , , , , , , , ,535000,0.1,0,0.35,0,0 AFG,2007,28259973,767.453,13.43,697.938,1.2,100.822,100.822,12.859,2.279,500000,0.1,0,0.352,1.8,0 AFG,2008,29021099,732.841,8.295,696.396,1.5,175.8,175.8,4.813,0.836,500000,0.1,0,0.352,1.5,0 AFG,2009,29802724,728.492,6.604,687.919,1.6,216.936,216.936,9.495,0.564,1000000,1.5,0,0.352,1.3,0 AFG,2010,30175351,750.94,10.811,675.284,1.5,128.965,128.965,7.024,2.279,900472.2222,1.5,0,0.352,1.3,0 AFG,2011,30823706,743.08,9.967,684.141,1.7,142.843,142.843,9.709,1.534,1016522.222,1.5,0,0.352,1.3,0 ALB,1998,3075628, , , , , , , , ,2000,2.4,0.36,0.784,0,0 ALB,1999,3069856, , , , , , , , ,2500,2.4,0.36,0.784,0,0 ALB,2000,3067556, , , , , , , , ,3500,2.4,0.36,0.784,0,0 ALB,2001,3069383, , , , , , , , ,10000,2.4,0.36,0.784,0,0 ALB,2002,3076282, , , , , , , , ,12000,2.4,0.36,0.801,2.5,1.92 ALB,2003,3086736, , , , , , , , ,30000,2.4,0.36,0.801,2.5,1.92 ALB,2004,3098677, , , , , , , , ,75000,2.4,0.36,0.811,2.5,1.92 ALB,2005,3110579, , , , , , , , ,188000,2.4,0.36,0.811,2.4,1.92 ALB,2006,3121751, , , , , , , , ,300000,2.4,0.37,0.814,2.6,1.92 ALB,2007,3132458, , , , , , , , ,471000,2.4,0.37,0.818,2.9,2.73 ALB,2008,3143291,234.933,5.869,204.462,4,584.968,584.968,8.125,0.728,750000,2.4,0.37,0.818,3.4,2.73 ALB,2009,3155271,235.681,7.91,197.166,3.9,527.683,527.683,7.358,0.884,1300000,16,0.37,0.818,3.2,2.73 ALB,2010,3140420,254.324,10.106,199.379,3.8,406.381,406.381,4.935,1.613,719805.7143,16,0.37,0.818,3.2,2.73 ALB,2011,3145807,225.474,1.847,200.22,4,602.674,602.674,24.037,0.759,783557.6786,16,0.37,0.818,3.2,2.73 DZA,1998,29646386, , , , , , , , ,6000,2.6,0.39,0.713,0,0 DZA,1999,30071594, , , , , , , , ,60000,2.6,0.39,0.713,0,0 DZA,2000,30506054, , , , , , , , ,150000,2.6,0.39,0.713,0,0 |
This is the format required by Google data Explorer. The file in above format is generated by running the script /afs/slac.stanford.edu/package/pinger/explorer/generate-alldata-file-for-pinger-data-explorer.pl which takes the files generated by/afs/slac.stanford.edu/package/pinger/explorergenerate-metric-files-for-explorer.pl as input files and outputs a file named 'file.csv' with all the metric data in the format required by Google Data Explorer.
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- Tool: The interactive graph was generated using the Google Public Data Explorer. Also see https://www.google.com/publicdata/directory
- Now the data for Pinger Data Explorer is under pinger.slac@gmail.com (May/2016).
- Data: The data presented here was collected by the PingER project, processed by prmout. The same data is available in tabular format. The statistics of Population and internet users were acquired from the World bank , the country to region mapping was obtained by the geographical database maintained by the PingER project, the Corruption Perception Index (CPI) was taken from Transparency International and extracted from Wikipedia , the Digital Opportunity Index (DOI) is obtained from ITU's ICT Statistics , Human Development Index (HDI) is obtained from UNDP Human development reports and ICT Development Index (IDI) is obtained from ITU Reports .
- Please note that while all the statistics were acquired over several years (i.e. since 1998), the Internet usage statistics were documented in Nov. 2007.
- Loading: The time to load and render the web page is largely determined speed of the link, the file length (about a MByte that is determined by the number of metrics and frequency of data points and the number of metrics) and the speed of the client rendering.
- Metrics: Average RTT (ms), Normalized Throughput (Kbps), Throughput (Kbps), Internet Users (#), Population (#), Minimum RTT (ms), Packet Loss (%), Unreachability (%), IPDV (ms), MOS, IDI, HDI, DOI, CPI and Internet penetration Index.
- Authors: Faisal Zahid & Amber Zeb 29/8/2011. Idea champion: Faisal Zahid.
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