Overview

Dataset statistics

Number of variables22
Number of observations112
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.7 KiB
Average record size in memory198.2 B

Variable types

Text1
Numeric21

Dataset

DescriptionO 우리나라의 상대국가(미국 외 111개국)별 기술수출 통계정보(2001~2021년)를 제공합니다. * 주요국: 미국, 일본, 독일, 영국, 프랑스, 네덜란드, 중국, 싱가포르
URLhttps://www.data.go.kr/data/15053976/fileData.do

Alerts

구분 has unique valuesUnique
2001 has 67 (59.8%) zerosZeros
2002 has 70 (62.5%) zerosZeros
2003 has 68 (60.7%) zerosZeros
2004 has 65 (58.0%) zerosZeros
2005 has 62 (55.4%) zerosZeros
2006 has 56 (50.0%) zerosZeros
2007 has 54 (48.2%) zerosZeros
2008 has 39 (34.8%) zerosZeros
2009 has 32 (28.6%) zerosZeros
2010 has 46 (41.1%) zerosZeros
2011 has 33 (29.5%) zerosZeros
2012 has 42 (37.5%) zerosZeros
2013 has 35 (31.2%) zerosZeros
2014 has 19 (17.0%) zerosZeros
2015 has 23 (20.5%) zerosZeros
2016 has 23 (20.5%) zerosZeros
2017 has 20 (17.9%) zerosZeros
2018 has 41 (36.6%) zerosZeros
2019 has 22 (19.6%) zerosZeros
2020 has 23 (20.5%) zerosZeros
2021 has 21 (18.8%) zerosZeros

Reproduction

Analysis started2023-12-12 05:39:29.553363
Analysis finished2023-12-12 05:39:29.806601
Duration0.25 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Text

UNIQUE 

Distinct112
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-12T14:39:30.006108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length3.6696429
Min length1

Characters and Unicode

Total characters411
Distinct characters141
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique112 ?
Unique (%)100.0%

Sample

1st row미국
2nd row일본
3rd row독일
4th row프랑스
5th row중국
ValueCountFrequency (%)
미국 1
 
0.9%
일본 1
 
0.9%
칠레 1
 
0.9%
체코 1
 
0.9%
적도기니 1
 
0.9%
인도네시아 1
 
0.9%
인도 1
 
0.9%
이탈리아 1
 
0.9%
이집트 1
 
0.9%
이스라엘 1
 
0.9%
Other values (102) 102
91.1%
2023-12-12T14:39:30.468657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
아 33
 
8.0%
스 18
 
4.4%
리 17
 
4.1%
이 16
 
3.9%
라 11
 
2.7%
르 11
 
2.7%
니 10
 
2.4%
국 8
 
1.9%
카 8
 
1.9%
시 7
 
1.7%
Other values (131) 272
66.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 411
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 33
 
8.0%
스 18
 
4.4%
리 17
 
4.1%
이 16
 
3.9%
라 11
 
2.7%
르 11
 
2.7%
니 10
 
2.4%
국 8
 
1.9%
카 8
 
1.9%
시 7
 
1.7%
Other values (131) 272
66.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 411
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 33
 
8.0%
스 18
 
4.4%
리 17
 
4.1%
이 16
 
3.9%
라 11
 
2.7%
르 11
 
2.7%
니 10
 
2.4%
국 8
 
1.9%
카 8
 
1.9%
시 7
 
1.7%
Other values (131) 272
66.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 411
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
아 33
 
8.0%
스 18
 
4.4%
리 17
 
4.1%
이 16
 
3.9%
라 11
 
2.7%
르 11
 
2.7%
니 10
 
2.4%
국 8
 
1.9%
카 8
 
1.9%
시 7
 
1.7%
Other values (131) 272
66.2%

2001
Real number (ℝ)

ZEROS 

Distinct46
Distinct (%)41.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5527798.9
Minimum0
Maximum1.9729377 × 108
Zeros67
Zeros (%)59.8%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T14:39:30.639559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3422856
95-th percentile21480110
Maximum1.9729377 × 108
Range1.9729377 × 108
Interquartile range (IQR)422856

Descriptive statistics

Standard deviation26009467
Coefficient of variation (CV)4.7052122
Kurtosis47.159844
Mean5527798.9
Median Absolute Deviation (MAD)0
Skewness6.7744004
Sum6.1911348 × 108
Variance6.7649237 × 1014
MonotonicityNot monotonic
2023-12-12T14:39:30.853016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0 67
59.8%
197293766 1
 
0.9%
1430390 1
 
0.9%
887173 1
 
0.9%
20000 1
 
0.9%
210000 1
 
0.9%
4034653 1
 
0.9%
27500 1
 
0.9%
79721 1
 
0.9%
147730 1
 
0.9%
Other values (36) 36
32.1%
ValueCountFrequency (%)
0 67
59.8%
1944 1
 
0.9%
3000 1
 
0.9%
10000 1
 
0.9%
20000 1
 
0.9%
26565 1
 
0.9%
27500 1
 
0.9%
39000 1
 
0.9%
45000 1
 
0.9%
60000 1
 
0.9%
ValueCountFrequency (%)
197293766 1
0.9%
186128991 1
0.9%
34209628 1
0.9%
32471771 1
0.9%
27483520 1
0.9%
25558116 1
0.9%
18143560 1
0.9%
17143040 1
0.9%
14990886 1
0.9%
13978000 1
0.9%

2002
Real number (ℝ)

ZEROS 

Distinct43
Distinct (%)38.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5697559.8
Minimum0
Maximum1.8214791 × 108
Zeros70
Zeros (%)62.5%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T14:39:31.021038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3519258.75
95-th percentile34177729
Maximum1.8214791 × 108
Range1.8214791 × 108
Interquartile range (IQR)519258.75

Descriptive statistics

Standard deviation21463196
Coefficient of variation (CV)3.7670857
Kurtosis44.003381
Mean5697559.8
Median Absolute Deviation (MAD)0
Skewness6.0906068
Sum6.381267 × 108
Variance4.6066878 × 1014
MonotonicityNot monotonic
2023-12-12T14:39:31.206845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
0 70
62.5%
95624938 1
 
0.9%
221701 1
 
0.9%
200000 1
 
0.9%
1880321 1
 
0.9%
6997236 1
 
0.9%
56080 1
 
0.9%
619689 1
 
0.9%
2399752 1
 
0.9%
61112341 1
 
0.9%
Other values (33) 33
29.5%
ValueCountFrequency (%)
0 70
62.5%
10917 1
 
0.9%
11000 1
 
0.9%
56080 1
 
0.9%
101454 1
 
0.9%
109424 1
 
0.9%
120000 1
 
0.9%
138000 1
 
0.9%
150080 1
 
0.9%
200000 1
 
0.9%
ValueCountFrequency (%)
182147912 1
0.9%
95624938 1
0.9%
61112341 1
0.9%
48616532 1
0.9%
36296678 1
0.9%
35206083 1
0.9%
33336348 1
0.9%
32405350 1
0.9%
30161687 1
0.9%
17813226 1
0.9%

2003
Real number (ℝ)

ZEROS 

Distinct45
Distinct (%)40.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7287272.7
Minimum0
Maximum2.6229749 × 108
Zeros68
Zeros (%)60.7%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T14:39:31.375494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3350000
95-th percentile44569665
Maximum2.6229749 × 108
Range2.6229749 × 108
Interquartile range (IQR)350000

Descriptive statistics

Standard deviation29139291
Coefficient of variation (CV)3.9986552
Kurtosis54.877428
Mean7287272.7
Median Absolute Deviation (MAD)0
Skewness6.820675
Sum8.1617455 × 108
Variance8.4909828 × 1014
MonotonicityNot monotonic
2023-12-12T14:39:31.590569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
0 68
60.7%
115371731 1
 
0.9%
14238008 1
 
0.9%
9950 1
 
0.9%
337673 1
 
0.9%
103000 1
 
0.9%
65000 1
 
0.9%
5354852 1
 
0.9%
63902764 1
 
0.9%
60324709 1
 
0.9%
Other values (35) 35
31.2%
ValueCountFrequency (%)
0 68
60.7%
3500 1
 
0.9%
5000 1
 
0.9%
9950 1
 
0.9%
21516 1
 
0.9%
23947 1
 
0.9%
29000 1
 
0.9%
65000 1
 
0.9%
103000 1
 
0.9%
160325 1
 
0.9%
ValueCountFrequency (%)
262297489 1
0.9%
115371731 1
0.9%
63902764 1
0.9%
60324709 1
0.9%
53613830 1
0.9%
51992722 1
0.9%
38496254 1
0.9%
36649892 1
0.9%
26885212 1
0.9%
21302392 1
0.9%

2004
Real number (ℝ)

ZEROS 

Distinct48
Distinct (%)42.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12646627
Minimum0
Maximum3.7698219 × 108
Zeros65
Zeros (%)58.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T14:39:31.817555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3942295.5
95-th percentile67398452
Maximum3.7698219 × 108
Range3.7698219 × 108
Interquartile range (IQR)942295.5

Descriptive statistics

Standard deviation46925884
Coefficient of variation (CV)3.7105454
Kurtosis37.132059
Mean12646627
Median Absolute Deviation (MAD)0
Skewness5.6685247
Sum1.4164222 × 109
Variance2.2020386 × 1015
MonotonicityNot monotonic
2023-12-12T14:39:32.049545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0 65
58.0%
229809213 1
 
0.9%
1274777 1
 
0.9%
5000 1
 
0.9%
13079 1
 
0.9%
79681 1
 
0.9%
42812 1
 
0.9%
18381422 1
 
0.9%
66000 1
 
0.9%
74507398 1
 
0.9%
Other values (38) 38
33.9%
ValueCountFrequency (%)
0 65
58.0%
5000 1
 
0.9%
13079 1
 
0.9%
18900 1
 
0.9%
42812 1
 
0.9%
50000 1
 
0.9%
54364 1
 
0.9%
66000 1
 
0.9%
79681 1
 
0.9%
79851 1
 
0.9%
ValueCountFrequency (%)
376982194 1
0.9%
229809213 1
0.9%
148103219 1
0.9%
142069460 1
0.9%
74507398 1
0.9%
67459074 1
0.9%
67348853 1
0.9%
66302892 1
0.9%
45389494 1
0.9%
34405928 1
0.9%

2005
Real number (ℝ)

ZEROS 

Distinct51
Distinct (%)45.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14508388
Minimum0
Maximum7.1892796 × 108
Zeros62
Zeros (%)55.4%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T14:39:32.268404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31260197.8
95-th percentile45424423
Maximum7.1892796 × 108
Range7.1892796 × 108
Interquartile range (IQR)1260197.8

Descriptive statistics

Standard deviation73855629
Coefficient of variation (CV)5.090547
Kurtosis77.340392
Mean14508388
Median Absolute Deviation (MAD)0
Skewness8.4262821
Sum1.6249394 × 109
Variance5.4546539 × 1015
MonotonicityNot monotonic
2023-12-12T14:39:32.770859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 62
55.4%
284697979 1
 
0.9%
1217961 1
 
0.9%
100000 1
 
0.9%
2756672 1
 
0.9%
1386908 1
 
0.9%
1028547 1
 
0.9%
773298 1
 
0.9%
97680017 1
 
0.9%
80306975 1
 
0.9%
Other values (41) 41
36.6%
ValueCountFrequency (%)
0 62
55.4%
3000 1
 
0.9%
9593 1
 
0.9%
11947 1
 
0.9%
66389 1
 
0.9%
67000 1
 
0.9%
88992 1
 
0.9%
100000 1
 
0.9%
152434 1
 
0.9%
165601 1
 
0.9%
ValueCountFrequency (%)
718927958 1
0.9%
284697979 1
0.9%
97680017 1
0.9%
80306975 1
0.9%
62758757 1
0.9%
50321899 1
0.9%
41417397 1
0.9%
39042210 1
0.9%
38068450 1
0.9%
32649671 1
0.9%

2006
Real number (ℝ)

ZEROS 

Distinct57
Distinct (%)50.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16933905
Minimum0
Maximum6.6605766 × 108
Zeros56
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T14:39:32.936419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median138
Q31613885.8
95-th percentile65366653
Maximum6.6605766 × 108
Range6.6605766 × 108
Interquartile range (IQR)1613885.8

Descriptive statistics

Standard deviation80380617
Coefficient of variation (CV)4.7467265
Kurtosis51.47826
Mean16933905
Median Absolute Deviation (MAD)138
Skewness7.0364284
Sum1.8965974 × 109
Variance6.4610436 × 1015
MonotonicityNot monotonic
2023-12-12T14:39:33.094733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 56
50.0%
515710005 1
 
0.9%
2713248 1
 
0.9%
90713 1
 
0.9%
253140 1
 
0.9%
4224180 1
 
0.9%
576991 1
 
0.9%
10071884 1
 
0.9%
21956 1
 
0.9%
363459 1
 
0.9%
Other values (47) 47
42.0%
ValueCountFrequency (%)
0 56
50.0%
276 1
 
0.9%
15021 1
 
0.9%
15055 1
 
0.9%
21956 1
 
0.9%
37115 1
 
0.9%
60000 1
 
0.9%
90713 1
 
0.9%
97016 1
 
0.9%
202614 1
 
0.9%
ValueCountFrequency (%)
666057659 1
0.9%
515710005 1
0.9%
86312408 1
0.9%
82939687 1
0.9%
77035833 1
0.9%
74285475 1
0.9%
58069435 1
0.9%
57209177 1
0.9%
45492514 1
0.9%
43511229 1
0.9%

2007
Real number (ℝ)

ZEROS 

Distinct59
Distinct (%)52.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19449476
Minimum0
Maximum7.9670689 × 108
Zeros54
Zeros (%)48.2%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T14:39:33.278302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median21834
Q31891310
95-th percentile63702347
Maximum7.9670689 × 108
Range7.9670689 × 108
Interquartile range (IQR)1891310

Descriptive statistics

Standard deviation92428005
Coefficient of variation (CV)4.7522106
Kurtosis54.57771
Mean19449476
Median Absolute Deviation (MAD)21834
Skewness7.1800828
Sum2.1783413 × 109
Variance8.5429362 × 1015
MonotonicityNot monotonic
2023-12-12T14:39:33.481987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 54
48.2%
546788934 1
 
0.9%
10218711 1
 
0.9%
508987 1
 
0.9%
1568846 1
 
0.9%
90000 1
 
0.9%
591133 1
 
0.9%
1871540 1
 
0.9%
112500 1
 
0.9%
1192289 1
 
0.9%
Other values (49) 49
43.8%
ValueCountFrequency (%)
0 54
48.2%
10125 1
 
0.9%
13914 1
 
0.9%
29754 1
 
0.9%
52748 1
 
0.9%
72798 1
 
0.9%
80000 1
 
0.9%
90000 1
 
0.9%
112500 1
 
0.9%
190543 1
 
0.9%
ValueCountFrequency (%)
796706890 1
0.9%
546788934 1
0.9%
114513690 1
0.9%
111395903 1
0.9%
100424337 1
0.9%
67976868 1
0.9%
60205012 1
0.9%
59022682 1
0.9%
52856696 1
0.9%
51958730 1
0.9%

2008
Real number (ℝ)

ZEROS 

Distinct73
Distinct (%)65.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22585649
Minimum0
Maximum7.7346771 × 108
Zeros39
Zeros (%)34.8%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T14:39:33.684874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median224233.5
Q33148205.8
95-th percentile1.1389145 × 108
Maximum7.7346771 × 108
Range7.7346771 × 108
Interquartile range (IQR)3148205.8

Descriptive statistics

Standard deviation86378990
Coefficient of variation (CV)3.8245077
Kurtosis53.497783
Mean22585649
Median Absolute Deviation (MAD)224233.5
Skewness6.7332485
Sum2.5295927 × 109
Variance7.4613299 × 1015
MonotonicityNot monotonic
2023-12-12T14:39:33.877865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 39
34.8%
11000 2
 
1.8%
331369256 1
 
0.9%
80000 1
 
0.9%
108914299 1
 
0.9%
1753102 1
 
0.9%
6333834 1
 
0.9%
672000 1
 
0.9%
3870407 1
 
0.9%
125010 1
 
0.9%
Other values (63) 63
56.2%
ValueCountFrequency (%)
0 39
34.8%
3000 1
 
0.9%
11000 2
 
1.8%
31500 1
 
0.9%
39600 1
 
0.9%
43147 1
 
0.9%
66000 1
 
0.9%
68022 1
 
0.9%
70500 1
 
0.9%
80000 1
 
0.9%
ValueCountFrequency (%)
773467713 1
0.9%
331369256 1
0.9%
261479222 1
0.9%
180522226 1
0.9%
138085534 1
0.9%
119974632 1
0.9%
108914299 1
0.9%
84334083 1
0.9%
77010085 1
0.9%
63491760 1
0.9%

2009
Real number (ℝ)

ZEROS 

Distinct77
Distinct (%)68.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31981211
Minimum0
Maximum1.1759574 × 109
Zeros32
Zeros (%)28.6%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T14:39:34.059541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median225983.5
Q34296368.5
95-th percentile1.023213 × 108
Maximum1.1759574 × 109
Range1.1759574 × 109
Interquartile range (IQR)4296368.5

Descriptive statistics

Standard deviation1.5285395 × 108
Coefficient of variation (CV)4.7794923
Kurtosis49.3187
Mean31981211
Median Absolute Deviation (MAD)225983.5
Skewness6.9715125
Sum3.5818956 × 109
Variance2.3364331 × 1016
MonotonicityNot monotonic
2023-12-12T14:39:34.239619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
28.6%
20000 2
 
1.8%
11600 2
 
1.8%
60000 2
 
1.8%
380000 2
 
1.8%
1875345 1
 
0.9%
21000 1
 
0.9%
25961226 1
 
0.9%
170383341 1
 
0.9%
1097100 1
 
0.9%
Other values (67) 67
59.8%
ValueCountFrequency (%)
0 32
28.6%
2200 1
 
0.9%
2383 1
 
0.9%
11600 2
 
1.8%
13340 1
 
0.9%
16276 1
 
0.9%
20000 2
 
1.8%
21000 1
 
0.9%
38600 1
 
0.9%
47915 1
 
0.9%
ValueCountFrequency (%)
1175957350 1
0.9%
1098678979 1
0.9%
170383341 1
0.9%
152105004 1
0.9%
119587261 1
0.9%
104156545 1
0.9%
100819738 1
0.9%
96475904 1
0.9%
76956781 1
0.9%
61527657 1
0.9%

2010
Real number (ℝ)

ZEROS 

Distinct67
Distinct (%)59.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29865429
Minimum0
Maximum1.495674 × 109
Zeros46
Zeros (%)41.1%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T14:39:34.433361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median63886
Q32494198.5
95-th percentile1.0278418 × 108
Maximum1.495674 × 109
Range1.495674 × 109
Interquartile range (IQR)2494198.5

Descriptive statistics

Standard deviation1.6092038 × 108
Coefficient of variation (CV)5.3881825
Kurtosis67.397047
Mean29865429
Median Absolute Deviation (MAD)63886
Skewness7.9463348
Sum3.344928 × 109
Variance2.5895368 × 1016
MonotonicityNot monotonic
2023-12-12T14:39:34.596891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 46
41.1%
1495674003 1
 
0.9%
10000 1
 
0.9%
1785000 1
 
0.9%
31312316 1
 
0.9%
2786994 1
 
0.9%
14334872 1
 
0.9%
132058733 1
 
0.9%
5628764 1
 
0.9%
2396600 1
 
0.9%
Other values (57) 57
50.9%
ValueCountFrequency (%)
0 46
41.1%
75 1
 
0.9%
1173 1
 
0.9%
9996 1
 
0.9%
10000 1
 
0.9%
15641 1
 
0.9%
25080 1
 
0.9%
40693 1
 
0.9%
47358 1
 
0.9%
60949 1
 
0.9%
ValueCountFrequency (%)
1495674003 1
0.9%
800640101 1
0.9%
144769938 1
0.9%
135925216 1
0.9%
132058733 1
0.9%
125016526 1
0.9%
84594077 1
0.9%
79115395 1
0.9%
58181181 1
0.9%
46241135 1
0.9%

2011
Real number (ℝ)

ZEROS 

Distinct78
Distinct (%)69.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36000680
Minimum0
Maximum1.445372 × 109
Zeros33
Zeros (%)29.5%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T14:39:34.753060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median407814
Q34807407.2
95-th percentile1.2129191 × 108
Maximum1.445372 × 109
Range1.445372 × 109
Interquartile range (IQR)4807407.2

Descriptive statistics

Standard deviation1.6336969 × 108
Coefficient of variation (CV)4.5379613
Kurtosis57.803181
Mean36000680
Median Absolute Deviation (MAD)407814
Skewness7.3592639
Sum4.0320761 × 109
Variance2.6689656 × 1016
MonotonicityNot monotonic
2023-12-12T14:39:34.916111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 33
29.5%
30000 2
 
1.8%
1128047 2
 
1.8%
921255005 1
 
0.9%
6961 1
 
0.9%
2627898 1
 
0.9%
2080839 1
 
0.9%
50590 1
 
0.9%
31328254 1
 
0.9%
2120482 1
 
0.9%
Other values (68) 68
60.7%
ValueCountFrequency (%)
0 33
29.5%
4748 1
 
0.9%
6961 1
 
0.9%
7775 1
 
0.9%
8600 1
 
0.9%
30000 2
 
1.8%
50590 1
 
0.9%
60574 1
 
0.9%
64350 1
 
0.9%
68081 1
 
0.9%
ValueCountFrequency (%)
1445371992 1
0.9%
921255005 1
0.9%
198184470 1
0.9%
142700560 1
0.9%
137554769 1
0.9%
131540221 1
0.9%
112906927 1
0.9%
108316010 1
0.9%
95108870 1
0.9%
86200143 1
0.9%

2012
Real number (ℝ)

ZEROS 

Distinct70
Distinct (%)62.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47417642
Minimum0
Maximum1.9978418 × 109
Zeros42
Zeros (%)37.5%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T14:39:35.067614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median179618
Q37890891.5
95-th percentile2.1213388 × 108
Maximum1.9978418 × 109
Range1.9978418 × 109
Interquartile range (IQR)7890891.5

Descriptive statistics

Standard deviation2.1546001 × 108
Coefficient of variation (CV)4.5438786
Kurtosis64.287843
Mean47417642
Median Absolute Deviation (MAD)179618
Skewness7.6176107
Sum5.3107759 × 109
Variance4.6423016 × 1016
MonotonicityNot monotonic
2023-12-12T14:39:35.247562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 42
37.5%
8874059 2
 
1.8%
986322953 1
 
0.9%
249735839 1
 
0.9%
202991 1
 
0.9%
2572970 1
 
0.9%
37249024 1
 
0.9%
3154166 1
 
0.9%
49083926 1
 
0.9%
1512902 1
 
0.9%
Other values (60) 60
53.6%
ValueCountFrequency (%)
0 42
37.5%
7000 1
 
0.9%
10000 1
 
0.9%
13000 1
 
0.9%
28000 1
 
0.9%
35496 1
 
0.9%
45081 1
 
0.9%
48069 1
 
0.9%
58379 1
 
0.9%
69891 1
 
0.9%
ValueCountFrequency (%)
1997841795 1
0.9%
986322953 1
0.9%
389377347 1
0.9%
255496002 1
0.9%
249735839 1
0.9%
226402820 1
0.9%
200459290 1
0.9%
148249502 1
0.9%
104926321 1
0.9%
86075000 1
0.9%

2013
Real number (ℝ)

ZEROS 

Distinct76
Distinct (%)67.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61121875
Minimum0
Maximum3.416816 × 109
Zeros35
Zeros (%)31.2%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T14:39:35.430560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median289500
Q38144250
95-th percentile1.4361335 × 108
Maximum3.416816 × 109
Range3.416816 × 109
Interquartile range (IQR)8144250

Descriptive statistics

Standard deviation3.4819871 × 108
Coefficient of variation (CV)5.6967936
Kurtosis80.423187
Mean61121875
Median Absolute Deviation (MAD)289500
Skewness8.6375358
Sum6.84565 × 109
Variance1.2124234 × 1017
MonotonicityNot monotonic
2023-12-12T14:39:35.601136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 35
31.2%
1000 3
 
2.7%
628254000 1
 
0.9%
273000 1
 
0.9%
1453000 1
 
0.9%
29516000 1
 
0.9%
384000 1
 
0.9%
48580000 1
 
0.9%
92606000 1
 
0.9%
3028000 1
 
0.9%
Other values (66) 66
58.9%
ValueCountFrequency (%)
0 35
31.2%
1000 3
 
2.7%
7000 1
 
0.9%
8000 1
 
0.9%
16000 1
 
0.9%
22000 1
 
0.9%
28000 1
 
0.9%
42000 1
 
0.9%
48000 1
 
0.9%
100000 1
 
0.9%
ValueCountFrequency (%)
3416816000 1
0.9%
1275384000 1
0.9%
628254000 1
0.9%
276311000 1
0.9%
160595000 1
0.9%
152910000 1
0.9%
136007000 1
0.9%
92606000 1
0.9%
77343000 1
0.9%
71563000 1
0.9%

2014
Real number (ℝ)

ZEROS 

Distinct94
Distinct (%)83.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87183440
Minimum0
Maximum2.94943 × 109
Zeros19
Zeros (%)17.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T14:39:35.793097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q160484
median1538108.5
Q323177089
95-th percentile4.0845587 × 108
Maximum2.94943 × 109
Range2.94943 × 109
Interquartile range (IQR)23116605

Descriptive statistics

Standard deviation3.5338377 × 108
Coefficient of variation (CV)4.0533359
Kurtosis45.774903
Mean87183440
Median Absolute Deviation (MAD)1538108.5
Skewness6.4297402
Sum9.7645453 × 109
Variance1.2488009 × 1017
MonotonicityNot monotonic
2023-12-12T14:39:35.956647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19
 
17.0%
1964846165 1
 
0.9%
5975 1
 
0.9%
165966 1
 
0.9%
10026069 1
 
0.9%
835540 1
 
0.9%
98637744 1
 
0.9%
279002 1
 
0.9%
66299529 1
 
0.9%
213706352 1
 
0.9%
Other values (84) 84
75.0%
ValueCountFrequency (%)
0 19
17.0%
5975 1
 
0.9%
8725 1
 
0.9%
9495 1
 
0.9%
10900 1
 
0.9%
19310 1
 
0.9%
19978 1
 
0.9%
35000 1
 
0.9%
57359 1
 
0.9%
59653 1
 
0.9%
ValueCountFrequency (%)
2949429989 1
0.9%
1964846165 1
0.9%
783139603 1
0.9%
720632178 1
0.9%
692910042 1
0.9%
537517174 1
0.9%
302860254 1
0.9%
213706352 1
0.9%
140371028 1
0.9%
107680774 1
0.9%

2015
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)80.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean92927881
Minimum0
Maximum2.0767163 × 109
Zeros23
Zeros (%)20.5%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T14:39:36.188942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q147571.5
median661138.5
Q324393349
95-th percentile4.8432036 × 108
Maximum2.0767163 × 109
Range2.0767163 × 109
Interquartile range (IQR)24345778

Descriptive statistics

Standard deviation3.3370209 × 108
Coefficient of variation (CV)3.5909793
Kurtosis21.3959
Mean92927881
Median Absolute Deviation (MAD)661138.5
Skewness4.6133694
Sum1.0407923 × 1010
Variance1.1135709 × 1017
MonotonicityNot monotonic
2023-12-12T14:39:36.420631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 23
 
20.5%
1703985856 1
 
0.9%
1899241 1
 
0.9%
3061409 1
 
0.9%
14927719 1
 
0.9%
81422 1
 
0.9%
1410692 1
 
0.9%
61323819 1
 
0.9%
71057072 1
 
0.9%
428828007 1
 
0.9%
Other values (80) 80
71.4%
ValueCountFrequency (%)
0 23
20.5%
8700 1
 
0.9%
12980 1
 
0.9%
19103 1
 
0.9%
37009 1
 
0.9%
38324 1
 
0.9%
50654 1
 
0.9%
50718 1
 
0.9%
54750 1
 
0.9%
59479 1
 
0.9%
ValueCountFrequency (%)
2076716310 1
0.9%
1707444421 1
0.9%
1703985856 1
0.9%
1354442440 1
0.9%
836241863 1
0.9%
552144351 1
0.9%
428828007 1
0.9%
254887888 1
0.9%
134276504 1
0.9%
114656025 1
0.9%

2016
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)80.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95423571
Minimum0
Maximum2.093943 × 109
Zeros23
Zeros (%)20.5%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T14:39:36.592232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q139582.25
median982233.5
Q320822332
95-th percentile4.9042916 × 108
Maximum2.093943 × 109
Range2.093943 × 109
Interquartile range (IQR)20782750

Descriptive statistics

Standard deviation3.3356276 × 108
Coefficient of variation (CV)3.4956013
Kurtosis21.705374
Mean95423571
Median Absolute Deviation (MAD)982233.5
Skewness4.5933432
Sum1.068744 × 1010
Variance1.1126412 × 1017
MonotonicityNot monotonic
2023-12-12T14:39:36.798163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 23
 
20.5%
1487544432 1
 
0.9%
6376479 1
 
0.9%
1375668 1
 
0.9%
80894553 1
 
0.9%
54701688 1
 
0.9%
385148082 1
 
0.9%
2872859 1
 
0.9%
28517283 1
 
0.9%
2382475 1
 
0.9%
Other values (80) 80
71.4%
ValueCountFrequency (%)
0 23
20.5%
7032 1
 
0.9%
7482 1
 
0.9%
7485 1
 
0.9%
13548 1
 
0.9%
23404 1
 
0.9%
44975 1
 
0.9%
46738 1
 
0.9%
48823 1
 
0.9%
55122 1
 
0.9%
ValueCountFrequency (%)
2093942980 1
0.9%
1880613317 1
0.9%
1487544432 1
0.9%
1286220757 1
0.9%
844858658 1
0.9%
573294146 1
0.9%
422630542 1
0.9%
385148082 1
0.9%
300025950 1
0.9%
160277757 1
0.9%

2017
Real number (ℝ)

ZEROS 

Distinct93
Distinct (%)83.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0534143 × 108
Minimum0
Maximum2.4634507 × 109
Zeros20
Zeros (%)17.9%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T14:39:37.044408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q144636.75
median1155885
Q321285393
95-th percentile4.6620246 × 108
Maximum2.4634507 × 109
Range2.4634507 × 109
Interquartile range (IQR)21240756

Descriptive statistics

Standard deviation3.9418064 × 108
Coefficient of variation (CV)3.7419335
Kurtosis24.27447
Mean1.0534143 × 108
Median Absolute Deviation (MAD)1155885
Skewness4.9018388
Sum1.179824 × 1010
Variance1.5537838 × 1017
MonotonicityNot monotonic
2023-12-12T14:39:37.207788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 20
 
17.9%
2179715835 1
 
0.9%
1021028 1
 
0.9%
63164478 1
 
0.9%
11154088 1
 
0.9%
2470728 1
 
0.9%
186306849 1
 
0.9%
63541 1
 
0.9%
67717149 1
 
0.9%
448831839 1
 
0.9%
Other values (83) 83
74.1%
ValueCountFrequency (%)
0 20
17.9%
3818 1
 
0.9%
5995 1
 
0.9%
12022 1
 
0.9%
13038 1
 
0.9%
16151 1
 
0.9%
22352 1
 
0.9%
24777 1
 
0.9%
28874 1
 
0.9%
49891 1
 
0.9%
ValueCountFrequency (%)
2463450688 1
0.9%
2179715835 1
0.9%
2158924895 1
0.9%
1273375371 1
0.9%
860791785 1
0.9%
487433216 1
0.9%
448831839 1
0.9%
252457878 1
0.9%
186306849 1
0.9%
157870784 1
0.9%

2018
Real number (ℝ)

ZEROS 

Distinct72
Distinct (%)64.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.10981 × 108
Minimum0
Maximum3.1642867 × 109
Zeros41
Zeros (%)36.6%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T14:39:37.708090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median634259
Q315363264
95-th percentile5.4243624 × 108
Maximum3.1642867 × 109
Range3.1642867 × 109
Interquartile range (IQR)15363264

Descriptive statistics

Standard deviation4.4857071 × 108
Coefficient of variation (CV)4.0418693
Kurtosis29.814624
Mean1.10981 × 108
Median Absolute Deviation (MAD)634259
Skewness5.3445679
Sum1.2429872 × 1010
Variance2.0121568 × 1017
MonotonicityNot monotonic
2023-12-12T14:39:37.873561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 41
36.6%
2175864934 1
 
0.9%
3523388 1
 
0.9%
1857812 1
 
0.9%
8154502 1
 
0.9%
4303487 1
 
0.9%
1601038 1
 
0.9%
200752497 1
 
0.9%
35907279 1
 
0.9%
33459890 1
 
0.9%
Other values (62) 62
55.4%
ValueCountFrequency (%)
0 41
36.6%
36270 1
 
0.9%
56639 1
 
0.9%
61376 1
 
0.9%
136789 1
 
0.9%
212585 1
 
0.9%
245151 1
 
0.9%
248197 1
 
0.9%
276796 1
 
0.9%
311311 1
 
0.9%
ValueCountFrequency (%)
3164286686 1
0.9%
2522399500 1
0.9%
2175864934 1
0.9%
1037117963 1
0.9%
845555900 1
0.9%
688474265 1
0.9%
422950586 1
0.9%
202200503 1
0.9%
200752497 1
0.9%
129975280 1
0.9%

2019
Real number (ℝ)

ZEROS 

Distinct91
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2281761 × 108
Minimum0
Maximum2.5919888 × 109
Zeros22
Zeros (%)19.6%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T14:39:38.063794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q151306.25
median1052116.5
Q323681791
95-th percentile5.4097614 × 108
Maximum2.5919888 × 109
Range2.5919888 × 109
Interquartile range (IQR)23630485

Descriptive statistics

Standard deviation4.4682365 × 108
Coefficient of variation (CV)3.6381074
Kurtosis21.861043
Mean1.2281761 × 108
Median Absolute Deviation (MAD)1052116.5
Skewness4.67163
Sum1.3755572 × 1010
Variance1.9965137 × 1017
MonotonicityNot monotonic
2023-12-12T14:39:38.241020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 22
 
19.6%
2591988791 1
 
0.9%
4836467 1
 
0.9%
7934740 1
 
0.9%
8044571 1
 
0.9%
3522653 1
 
0.9%
129375669 1
 
0.9%
86731 1
 
0.9%
145699808 1
 
0.9%
521970161 1
 
0.9%
Other values (81) 81
72.3%
ValueCountFrequency (%)
0 22
19.6%
19212 1
 
0.9%
20490 1
 
0.9%
21773 1
 
0.9%
22400 1
 
0.9%
25057 1
 
0.9%
29941 1
 
0.9%
58428 1
 
0.9%
63203 1
 
0.9%
68616 1
 
0.9%
ValueCountFrequency (%)
2591988791 1
0.9%
2564949018 1
0.9%
2385956216 1
0.9%
1515700360 1
0.9%
1270544903 1
0.9%
564205674 1
0.9%
521970161 1
0.9%
354455687 1
0.9%
212664735 1
0.9%
169431098 1
0.9%

2020
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)80.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1410771 × 108
Minimum0
Maximum3.0075665 × 109
Zeros23
Zeros (%)20.5%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T14:39:38.388756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q115734.5
median771790.5
Q322509442
95-th percentile4.4415582 × 108
Maximum3.0075665 × 109
Range3.0075665 × 109
Interquartile range (IQR)22493707

Descriptive statistics

Standard deviation4.2985755 × 108
Coefficient of variation (CV)3.7671211
Kurtosis29.135972
Mean1.1410771 × 108
Median Absolute Deviation (MAD)771790.5
Skewness5.2507531
Sum1.2780063 × 1010
Variance1.8477751 × 1017
MonotonicityNot monotonic
2023-12-12T14:39:38.539846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 23
 
20.5%
2553369646 1
 
0.9%
233832 1
 
0.9%
1111537 1
 
0.9%
198384537 1
 
0.9%
30191459 1
 
0.9%
407349796 1
 
0.9%
13025594 1
 
0.9%
19911439 1
 
0.9%
2290385 1
 
0.9%
Other values (80) 80
71.4%
ValueCountFrequency (%)
0 23
20.5%
1680 1
 
0.9%
2995 1
 
0.9%
5985 1
 
0.9%
6296 1
 
0.9%
12460 1
 
0.9%
16826 1
 
0.9%
29675 1
 
0.9%
30220 1
 
0.9%
34136 1
 
0.9%
ValueCountFrequency (%)
3007566527 1
0.9%
2553369646 1
0.9%
1810905014 1
0.9%
1146563035 1
0.9%
1034131852 1
0.9%
489140962 1
0.9%
407349796 1
0.9%
289159616 1
0.9%
236239651 1
0.9%
198384537 1
0.9%

2021
Real number (ℝ)

ZEROS 

Distinct92
Distinct (%)82.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3322146 × 108
Minimum0
Maximum3.1980659 × 109
Zeros21
Zeros (%)18.8%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T14:39:38.678726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q148742.5
median776991
Q338235613
95-th percentile5.8647133 × 108
Maximum3.1980659 × 109
Range3.1980659 × 109
Interquartile range (IQR)38186871

Descriptive statistics

Standard deviation4.8067092 × 108
Coefficient of variation (CV)3.6080593
Kurtosis30.077084
Mean1.3322146 × 108
Median Absolute Deviation (MAD)776991
Skewness5.3299652
Sum1.4920803 × 1010
Variance2.3104453 × 1017
MonotonicityNot monotonic
2023-12-12T14:39:38.837441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 21
 
18.8%
3198065948 1
 
0.9%
182522 1
 
0.9%
116099 1
 
0.9%
1203576 1
 
0.9%
55766228 1
 
0.9%
180248812 1
 
0.9%
557546340 1
 
0.9%
18053102 1
 
0.9%
15285099 1
 
0.9%
Other values (82) 82
73.2%
ValueCountFrequency (%)
0 21
18.8%
1005 1
 
0.9%
4643 1
 
0.9%
17870 1
 
0.9%
18655 1
 
0.9%
32285 1
 
0.9%
37985 1
 
0.9%
45021 1
 
0.9%
49983 1
 
0.9%
58466 1
 
0.9%
ValueCountFrequency (%)
3198065948 1
0.9%
3163617127 1
0.9%
1996211455 1
0.9%
1204861522 1
0.9%
674593542 1
0.9%
621824099 1
0.9%
557546340 1
0.9%
380260097 1
0.9%
373083907 1
0.9%
373019390 1
0.9%

Sample

구분200120022003200420052006200720082009201020112012201320142015201620172018201920202021
0미국197293766956249381153717312298092132846979795157100055467889343313692561175957350149567400392125500598632295362825400019648461651703985856148754443221797158352175864934259198879125533696463198065948
1일본324717713333634851992722673488536275875758069435590226821805222266152765746241135198184470389377347152910000692910042836241863573294146487433216422950586564205674489140962621824099
2독일1105561149074843904629148103219147352239381035764029357701314977238389738137528350585964117098000140371028254887888143956862157870784109247753165590126136017948171208179
3프랑스1390005845006981007091882651803858925395281199746321195872611359252161375547691060601275384000218978332663531042263054277112036129975280232837112254584231957513
4중국186128991182147912262297489376982194718927958666057659796706890773467713109867897980064010114453719921997841795341681600029494299892076716310209394298021589248953164286686256494901830075665273163617127
5영국87346511544139123299284060442418641239785132617033326279409615541735852827220442518753500005375171745521443518448586588607917851037117963127054490311465630351204861522
6가나0000000000300007000655000900033700939250816151325832668616501538598133
7감비아0000000431470000000000000
8괌000000020769300010000019978005995022400124600
9그루지야0000000000113500001000012895978443912082350330845058466
구분200120022003200420052006200720082009201020112012201320142015201620172018201920202021
102파푸아뉴기니0050000000000656975006076138324012022029048714669850
103페루00000000007880304300005735950718300744884660329924485371571320704980
104포르투갈182343671249787008931897110116311537731344071130300097000000025100016464425065474822477736270181770168037222205
105폴란드82925914330660006284601950620569654118263531382263360332216089155850001418072710749882821051310281477143589542968906052702679234761829
106핀란드000046172900030000000122322130082602748710001290356362816746315829056461845555900892448669022252342726
107필리핀31567533757520127179241753411118178747276511495285669647965691851190610684181397022419182445431320007204820945670629211885023667754823339357171595993077435642337603
108헝가리149908863240535026885212288348642346956574285475418554041380855349647590412501652614270056072485007914100034368162959196850790450427368233068331385905080886748712492
109호주6000003400001314631656013510427279811695025005715641196796353311097203000767184376785253434895625472432352404831510522481885383913683863
110홍콩127174410942435620833233010118816782011713879795086955910415654513487577565784110492632119217000700659788721880492460861123075775118435806169431098152370172373083907
111기타713711735206083123202736630289226974290117883381346320801008197383206357571793347148249502665100064327080265519673388059743158850183761952847408522497308380260097