SunderS — Statistics

CZ • Czech Republic

33.02% • 104 nodes

FR • France

9.84% • 31 nodes

IN • India

8.57% • 27 nodes

DE • Germany

7.62% • 24 nodes

US • United States of America (USA)

6.98% • 22 nodes

RU • Russia

5.71% • 18 nodes

GB • United Kingdom

4.13% • 13 nodes

NL • Netherlands

3.49% • 11 nodes

GH • Ghana

2.86% • 9 nodes

HU • Hungary

2.22% • 7 nodes

CZ • Czech Republic

33.02% • 104 nodes

FR • France

9.84% • 31 nodes

IN • India

8.57% • 27 nodes

DE • Germany

7.62% • 24 nodes

US • United States of America (USA)

6.98% • 22 nodes

RU • Russia

5.71% • 18 nodes

GB • United Kingdom

4.13% • 13 nodes

NL • Netherlands

3.49% • 11 nodes

GH • Ghana

2.86% • 9 nodes

HU • Hungary

2.22% • 7 nodes

IT • Italy

2.22% • 7 nodes

PL • Poland

1.27% • 4 nodes

ES • Spain

1.27% • 4 nodes

LV • Latvia

0.95% • 3 nodes

CA • Canada

0.95% • 3 nodes

BG • Bulgaria

0.63% • 2 nodes

IQ • Iraq

0.63% • 2 nodes

CL • Chile

0.63% • 2 nodes

EE • Estonia

0.63% • 2 nodes

BE • Belgium

0.63% • 2 nodes

BR • Brazil

0.63% • 2 nodes

TN • Tunisia

0.32% • 1 node

DZ • Algeria

0.32% • 1 node

DK • Denmark

0.32% • 1 node

AT • Austria

0.32% • 1 node

AU • Australia

0.32% • 1 node

SG • Singapore

0.32% • 1 node

NP • Nepal

0.32% • 1 node

BY • Belarus

0.32% • 1 node

MX • Mexico

0.32% • 1 node

NO • Norway

0.32% • 1 node

CN • People's Republic of China

0.32% • 1 node

NA • Namibia

0.32% • 1 node

AR • Argentina

0.32% • 1 node

LY • Libya

0.32% • 1 node

KR • South Korea

0.32% • 1 node

PK • Pakistan

0.32% • 1 node

area: not specified • type: camera • worldwide
year: 2020 • month: September

1 Tu	2 We	3 Th	4 Fr	5 Sa	6 Su	7 Mo	8 Tu	9 We	10 Th	11 Fr	12 Sa	13 Su	14 Mo	15 Tu	16 We	17 Th	18 Fr	19 Sa	20 Su	21 Mo	22 Tu	23 We	24 Th	25 Fr	26 Sa	27 Su	28 Mo	29 Tu	30 We
1 Tu	2 We	3 Th	4 Fr	5 Sa	6 Su	7 Mo	8 Tu	9 We	10 Th	11 Fr	12 Sa	13 Su	14 Mo	15 Tu	16 We	17 Th	18 Fr	19 Sa	20 Su	21 Mo	22 Tu	23 We	24 Th	25 Fr	26 Sa	27 Su	28 Mo	29 Tu	30 We

CZ • Czech Republic • 33.02% • 104 nodes
0	2	0	0	0	0	0	0	0	0	0	0	102	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

FR • France • 9.84% • 31 nodes
1	1	0	1	4	3	0	0	0	2	1	0	0	0	3	0	0	1	0	0	0	2	0	2	6	0	4	0	0	0

IN • India • 8.57% • 27 nodes
0	0	0	0	0	0	0	0	0	0	24	1	0	0	0	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0

DE • Germany • 7.62% • 24 nodes
1	0	1	0	0	0	0	0	11	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	9	0	0	0	1

US • United States of America (USA) • 6.98% • 22 nodes
0	0	0	0	0	0	1	0	0	0	0	1	0	0	7	0	0	1	0	0	0	0	0	0	5	0	0	6	1	0

RU • Russia • 5.71% • 18 nodes
5	0	0	0	0	0	0	1	0	0	0	0	0	0	1	0	0	0	0	2	0	2	0	7	0	0	0	0	0	0

GB • United Kingdom • 4.13% • 13 nodes
0	0	0	0	0	0	0	0	1	0	0	0	1	0	1	3	0	0	1	0	2	1	0	0	0	3	0	0	0	0

NL • Netherlands • 3.49% • 11 nodes
0	0	0	0	0	0	0	0	0	6	0	0	5	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

GH • Ghana • 2.86% • 9 nodes
0	0	0	0	0	5	0	0	0	0	0	0	0	0	0	3	1	0	0	0	0	0	0	0	0	0	0	0	0	0

HU • Hungary • 2.22% • 7 nodes
0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	7	0	0	0	0	0	0

IT • Italy • 2.22% • 7 nodes
0	0	0	0	1	0	1	0	1	0	0	0	0	0	0	1	0	0	0	0	0	0	1	0	0	0	1	0	1	0

PL • Poland • 1.27% • 4 nodes
0	0	0	0	0	0	1	1	0	0	0	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0

ES • Spain • 1.27% • 4 nodes
0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	2	0	0	1	0	0	0

LV • Latvia • 0.95% • 3 nodes
0	0	0	0	0	0	0	0	0	1	2	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

CA • Canada • 0.95% • 3 nodes
0	0	0	0	2	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

BG • Bulgaria • 0.63% • 2 nodes
0	0	0	0	0	2	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

IQ • Iraq • 0.63% • 2 nodes
0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0

CL • Chile • 0.63% • 2 nodes
0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0

EE • Estonia • 0.63% • 2 nodes
0	1	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

BE • Belgium • 0.63% • 2 nodes
0	0	0	0	0	0	0	0	0	0	2	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

BR • Brazil • 0.63% • 2 nodes
0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	2	0	0	0	0	0	0

TN • Tunisia • 0.32% • 1 node
0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0

DZ • Algeria • 0.32% • 1 node
0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0

DK • Denmark • 0.32% • 1 node
1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

AT • Austria • 0.32% • 1 node
1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

AU • Australia • 0.32% • 1 node
0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0

SG • Singapore • 0.32% • 1 node
0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

NP • Nepal • 0.32% • 1 node
0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

BY • Belarus • 0.32% • 1 node
0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1

MX • Mexico • 0.32% • 1 node
0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

NO • Norway • 0.32% • 1 node
0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

CN • People's Republic of China • 0.32% • 1 node
0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

NA • Namibia • 0.32% • 1 node
0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

AR • Argentina • 0.32% • 1 node
0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

LY • Libya • 0.32% • 1 node
0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

KR • South Korea • 0.32% • 1 node
0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

PK • Pakistan • 0.32% • 1 node
0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0

Total • 100% • 315 nodes
9	7	3	1	7	11	4	3	14	10	30	3	108	2	13	9	3	2	1	2	2	6	2	21	11	15	6	6	2	2