Overview

Dataset statistics

Number of variables32
Number of observations1195
Missing cells18031
Missing cells (%)47.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory326.9 KiB
Average record size in memory280.1 B

Variable types

Numeric8
Categorical5
Text3
Unsupported13
Boolean1
DateTime2

Dataset

Description지진ID,지진번호,구분,구분명,전송시각,진원시,위도 (단위:`N),경도 (단위:`E),규모 (리히터 기준),진앙지,진앙지2,참고사항,수정사항,표출여부,확인시간,이벤트 파형 파일명,등록일자,지진번호(기상청),발표차수(기상청),내륙해역구분,남북한구분,진도분류,시도별 진도등급,행정구역별 진도등급 URL,격자별 진도등급 URL,진도 MAP 이미지 URL,진앙지도 이미지URL,행정구역별 진도등급 XML 파일명,격자별 진도등급 XML 파일명,진도 MAP 이미지명,진앙지도 이미지명,깊이 (단위:KM)
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-21059/S/1/datasetView.do

Alerts

표출여부 has constant value ""Constant
확인시간 has constant value ""Constant
지진번호 is highly imbalanced (98.5%)Imbalance
수정사항 is highly imbalanced (97.5%)Imbalance
진앙지2 has 1195 (100.0%) missing valuesMissing
확인시간 has 1192 (99.7%) missing valuesMissing
이벤트 파형 파일명 has 1193 (99.8%) missing valuesMissing
내륙해역구분 has 1195 (100.0%) missing valuesMissing
남북한구분 has 1195 (100.0%) missing valuesMissing
진도분류 has 1195 (100.0%) missing valuesMissing
시도별 진도등급 has 1195 (100.0%) missing valuesMissing
행정구역별 진도등급 URL has 1195 (100.0%) missing valuesMissing
격자별 진도등급 URL has 1195 (100.0%) missing valuesMissing
진도 MAP 이미지 URL has 1195 (100.0%) missing valuesMissing
진앙지도 이미지URL has 1195 (100.0%) missing valuesMissing
행정구역별 진도등급 XML 파일명 has 1195 (100.0%) missing valuesMissing
격자별 진도등급 XML 파일명 has 1195 (100.0%) missing valuesMissing
진도 MAP 이미지명 has 1195 (100.0%) missing valuesMissing
진앙지도 이미지명 has 1195 (100.0%) missing valuesMissing
깊이 (단위:KM) has 94 (7.9%) missing valuesMissing
진원시 is highly skewed (γ1 = -34.50010736)Skewed
지진ID has unique valuesUnique
전송시각 has unique valuesUnique
진앙지2 is an unsupported type, check if it needs cleaning or further analysisUnsupported
내륙해역구분 is an unsupported type, check if it needs cleaning or further analysisUnsupported
남북한구분 is an unsupported type, check if it needs cleaning or further analysisUnsupported
진도분류 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시도별 진도등급 is an unsupported type, check if it needs cleaning or further analysisUnsupported
행정구역별 진도등급 URL is an unsupported type, check if it needs cleaning or further analysisUnsupported
격자별 진도등급 URL is an unsupported type, check if it needs cleaning or further analysisUnsupported
진도 MAP 이미지 URL is an unsupported type, check if it needs cleaning or further analysisUnsupported
진앙지도 이미지URL is an unsupported type, check if it needs cleaning or further analysisUnsupported
행정구역별 진도등급 XML 파일명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
격자별 진도등급 XML 파일명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
진도 MAP 이미지명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
진앙지도 이미지명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 08:09:41.725430
Analysis finished2024-05-11 08:09:42.250851
Duration0.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지진ID
Real number (ℝ)

UNIQUE 

Distinct1195
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0164075 × 1011
Minimum2.0160717 × 1010
Maximum2.024 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2024-05-11T17:09:42.317274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0160717 × 1010
5-th percentile2.018 × 1011
Q12.019 × 1011
median2.021 × 1011
Q32.023 × 1011
95-th percentile2.024 × 1011
Maximum2.024 × 1011
Range1.8223928 × 1011
Interquartile range (IQR)3.9999941 × 108

Descriptive statistics

Standard deviation9.1100057 × 109
Coefficient of variation (CV)0.045179389
Kurtosis394.64996
Mean2.0164075 × 1011
Median Absolute Deviation (MAD)1.9999945 × 108
Skewness-19.89517
Sum2.4096069 × 1014
Variance8.2992203 × 1019
MonotonicityStrictly decreasing
2024-05-11T17:09:42.469260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202400000508 1
 
0.1%
202000000471 1
 
0.1%
202000000478 1
 
0.1%
202000000480 1
 
0.1%
202000000491 1
 
0.1%
202000000494 1
 
0.1%
202000000504 1
 
0.1%
202000000518 1
 
0.1%
202000000519 1
 
0.1%
202000000523 1
 
0.1%
Other values (1185) 1185
99.2%
ValueCountFrequency (%)
20160717001 1
0.1%
20160912002 1
0.1%
20170212001 1
0.1%
201800000001 1
0.1%
201800000002 1
0.1%
201800000004 1
0.1%
201800000005 1
0.1%
201800000006 1
0.1%
201800000007 1
0.1%
201800000009 1
0.1%
ValueCountFrequency (%)
202400000508 1
0.1%
202400000505 1
0.1%
202400000503 1
0.1%
202400000495 1
0.1%
202400000476 1
0.1%
202400000472 1
0.1%
202400000468 1
0.1%
202400000467 1
0.1%
202400000464 1
0.1%
202400000461 1
0.1%

지진번호
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
<NA>
1192 
2017064
 
1
2016304
 
1
2016189
 
1

Length

Max length7
Median length4
Mean length4.0075314
Min length4

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1192
99.7%
2017064 1
 
0.1%
2016304 1
 
0.1%
2016189 1
 
0.1%

Length

2024-05-11T17:09:42.629964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:09:42.739868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1192
99.7%
2017064 1
 
0.1%
2016304 1
 
0.1%
2016189 1
 
0.1%

구분
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
3
674 
1
506 
5
 
14
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row1
2nd row3
3rd row1
4th row3
5th row1

Common Values

ValueCountFrequency (%)
3 674
56.4%
1 506
42.3%
5 14
 
1.2%
4 1
 
0.1%

Length

2024-05-11T17:09:42.857623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:09:42.962573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 674
56.4%
1 506
42.3%
5 14
 
1.2%
4 1
 
0.1%

구분명
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
국외지진
674 
지진정보
506 
지진속보
 
14
지진조기경보
 
1

Length

Max length6
Median length4
Mean length4.0016736
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row지진정보
2nd row국외지진
3rd row지진정보
4th row국외지진
5th row지진정보

Common Values

ValueCountFrequency (%)
국외지진 674
56.4%
지진정보 506
42.3%
지진속보 14
 
1.2%
지진조기경보 1
 
0.1%

Length

2024-05-11T17:09:43.123194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:09:43.253565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국외지진 674
56.4%
지진정보 506
42.3%
지진속보 14
 
1.2%
지진조기경보 1
 
0.1%

전송시각
Real number (ℝ)

UNIQUE 

Distinct1195
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.770586 × 1012
Minimum2.0200115 × 1011
Maximum2.0191115 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2024-05-11T17:09:43.388975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0200115 × 1011
5-th percentile2.0200531 × 1011
Q12.0211129 × 1011
median2.0230403 × 1011
Q32.0180211 × 1013
95-th percentile2.0190623 × 1013
Maximum2.0191115 × 1013
Range1.9989114 × 1013
Interquartile range (IQR)1.99781 × 1013

Descriptive statistics

Standard deviation8.9627792 × 1012
Coefficient of variation (CV)1.5531835
Kurtosis-1.0243637
Mean5.770586 × 1012
Median Absolute Deviation (MAD)1.9397008 × 108
Skewness0.98861169
Sum6.8958503 × 1015
Variance8.033141 × 1025
MonotonicityNot monotonic
2024-05-11T17:09:43.552452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202405090627 1
 
0.1%
202005291911 1
 
0.1%
202005311433 1
 
0.1%
202006010608 1
 
0.1%
202006031702 1
 
0.1%
202006040247 1
 
0.1%
202006080055 1
 
0.1%
202006140059 1
 
0.1%
202006140528 1
 
0.1%
202006150443 1
 
0.1%
Other values (1185) 1185
99.2%
ValueCountFrequency (%)
202001152248 1
0.1%
202001190202 1
0.1%
202001192253 1
0.1%
202001250323 1
0.1%
202001290440 1
0.1%
202001291046 1
0.1%
202001300056 1
0.1%
202002010118 1
0.1%
202002010214 1
0.1%
202002062027 1
0.1%
ValueCountFrequency (%)
20191115013307 1
0.1%
20191109231834 1
0.1%
20191105072024 1
0.1%
20191031163300 1
0.1%
20191031102700 1
0.1%
20191030020455 1
0.1%
20191029102517 1
0.1%
20191027154009 1
0.1%
20191020000824 1
0.1%
20191016210540 1
0.1%

진원시
Real number (ℝ)

SKEWED 

Distinct1187
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0194953 × 1013
Minimum2.0200225 × 1012
Maximum2.0240509 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2024-05-11T17:09:43.716157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0200225 × 1012
5-th percentile2.0180306 × 1013
Q12.0190806 × 1013
median2.0211006 × 1013
Q32.0230206 × 1013
95-th percentile2.0240215 × 1013
Maximum2.0240509 × 1013
Range1.8220487 × 1013
Interquartile range (IQR)3.9400074 × 1010

Descriptive statistics

Standard deviation5.2655019 × 1011
Coefficient of variation (CV)0.026073356
Kurtosis1191.8331
Mean2.0194953 × 1013
Median Absolute Deviation (MAD)1.9397096 × 1010
Skewness-34.500107
Sum2.4132969 × 1016
Variance2.772551 × 1023
MonotonicityNot monotonic
2024-05-11T17:09:43.872586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20221029082749 2
 
0.2%
20230729190759 2
 
0.2%
20180211050303 2
 
0.2%
20190721110418 2
 
0.2%
20200511194506 2
 
0.2%
20230109012815 2
 
0.2%
20240419232754 2
 
0.2%
20221029082733 2
 
0.2%
20240509054125 1
 
0.1%
20200603163534 1
 
0.1%
Other values (1177) 1177
98.5%
ValueCountFrequency (%)
2020022520142 1
0.1%
20160717132400 1
0.1%
20160912203254 1
0.1%
20170212092227 1
0.1%
20170227001757 1
0.1%
20180101183501 1
0.1%
20180101191153 1
0.1%
20180106024716 1
0.1%
20180109161751 1
0.1%
20180110115132 1
0.1%
ValueCountFrequency (%)
20240509054125 1
0.1%
20240508171715 1
0.1%
20240508005000 1
0.1%
20240506033310 1
0.1%
20240430015446 1
0.1%
20240429024021 1
0.1%
20240428124300 1
0.1%
20240428103343 1
0.1%
20240428012951 1
0.1%
20240427173600 1
0.1%

위도 (단위:`N)
Real number (ℝ)

Distinct787
Distinct (%)65.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.674293
Minimum-69.77
Maximum55.96
Zeros0
Zeros (%)0.0%
Negative210
Negative (%)17.6%
Memory size10.6 KiB
2024-05-11T17:09:44.024134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-69.77
5-th percentile-23.519
Q122.855
median35.03
Q337.3
95-th percentile41.3
Maximum55.96
Range125.73
Interquartile range (IQR)14.445

Descriptive statistics

Standard deviation22.519834
Coefficient of variation (CV)0.95123576
Kurtosis2.5652671
Mean23.674293
Median Absolute Deviation (MAD)4.66
Skewness-1.7509086
Sum28290.78
Variance507.14292
MonotonicityNot monotonic
2024-05-11T17:09:44.466266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41.3 17
 
1.4%
26.8 13
 
1.1%
41.29 11
 
0.9%
41.31 9
 
0.8%
36.5 7
 
0.6%
36.08 7
 
0.6%
35.76 7
 
0.6%
41.28 7
 
0.6%
36.1 7
 
0.6%
35.7 7
 
0.6%
Other values (777) 1103
92.3%
ValueCountFrequency (%)
-69.77 1
0.1%
-61.85 1
0.1%
-60.69 1
0.1%
-60.6 1
0.1%
-60.43 1
0.1%
-60.3 1
0.1%
-60.23 1
0.1%
-59.34 1
0.1%
-58.78 1
0.1%
-58.72 1
0.1%
ValueCountFrequency (%)
55.96 1
0.1%
55.53 1
0.1%
55.11 1
0.1%
52.78 1
0.1%
52.07 1
0.1%
51.73 1
0.1%
51.24 1
0.1%
50.7 1
0.1%
49.0 1
0.1%
45.8 1
0.1%

경도 (단위:`E)
Real number (ℝ)

Distinct768
Distinct (%)64.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean112.7778
Minimum-99.6
Maximum179.64
Zeros0
Zeros (%)0.0%
Negative99
Negative (%)8.3%
Memory size10.6 KiB
2024-05-11T17:09:44.606054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-99.6
5-th percentile-68.891
Q1124.56
median127.62
Q3130.34
95-th percentile155.27
Maximum179.64
Range279.24
Interquartile range (IQR)5.78

Descriptive statistics

Standard deviation57.034677
Coefficient of variation (CV)0.5057261
Kurtosis5.7362165
Mean112.7778
Median Absolute Deviation (MAD)3.02
Skewness-2.6042575
Sum134769.47
Variance3252.9544
MonotonicityNot monotonic
2024-05-11T17:09:44.742467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.4 16
 
1.3%
142.0 10
 
0.8%
129.19 8
 
0.7%
140.6 8
 
0.7%
129.13 8
 
0.7%
129.33 8
 
0.7%
143.1 7
 
0.6%
137.6 7
 
0.6%
141.8 7
 
0.6%
140.0 6
 
0.5%
Other values (758) 1110
92.9%
ValueCountFrequency (%)
-99.6 1
0.1%
-97.94 1
0.1%
-97.65 1
0.1%
-95.91 1
0.1%
-93.88 1
0.1%
-92.3 1
0.1%
-91.3 1
0.1%
-90.86 1
0.1%
-88.13 1
0.1%
-87.8 1
0.1%
ValueCountFrequency (%)
179.64 1
0.1%
179.5 1
0.1%
179.39 1
0.1%
178.76 1
0.1%
178.65 1
0.1%
178.55 1
0.1%
178.46 1
0.1%
178.39 1
0.1%
178.38 1
0.1%
178.36 1
0.1%

규모 (리히터 기준)
Real number (ℝ)

Distinct63
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.5248536
Minimum1.1
Maximum8.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2024-05-11T17:09:44.891355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1
5-th percentile2.1
Q12.4
median5.2
Q36.1
95-th percentile7
Maximum8.1
Range7
Interquartile range (IQR)3.7

Descriptive statistics

Standard deviation1.8691249
Coefficient of variation (CV)0.41307965
Kurtosis-1.627987
Mean4.5248536
Median Absolute Deviation (MAD)1.5
Skewness-0.1366002
Sum5407.2
Variance3.493628
MonotonicityNot monotonic
2024-05-11T17:09:45.040251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.0 87
 
7.3%
6.1 76
 
6.4%
2.1 73
 
6.1%
2.2 66
 
5.5%
2.3 61
 
5.1%
2.4 59
 
4.9%
6.2 49
 
4.1%
2.5 48
 
4.0%
2.0 47
 
3.9%
6.3 41
 
3.4%
Other values (53) 588
49.2%
ValueCountFrequency (%)
1.1 1
 
0.1%
2.0 47
3.9%
2.1 73
6.1%
2.2 66
5.5%
2.299999952 1
 
0.1%
2.3 61
5.1%
2.4 59
4.9%
2.5 48
4.0%
2.6 35
2.9%
2.7 32
2.7%
ValueCountFrequency (%)
8.1 1
 
0.1%
8.0 1
 
0.1%
7.9 1
 
0.1%
7.8 3
 
0.3%
7.7 5
0.4%
7.6 4
 
0.3%
7.5 4
 
0.3%
7.4 7
0.6%
7.3 10
0.8%
7.2 11
0.9%

진앙지
Text

Distinct1033
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
2024-05-11T17:09:45.376688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length30
Mean length21.871967
Min length7

Characters and Unicode

Total characters26137
Distinct characters325
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique946 ?
Unique (%)79.2%

Sample

1st row북한 함경북도 길주 북북서쪽 42km 지역
2nd row바누아투 루간빌 동북동쪽 99km 해역
3rd row북한 황해북도 연산 남서쪽 11km 지역
4th row인도네시아 소롱 남쪽 273km 해역
5th row북한 함경북도 길주 북북서쪽 41km 지역
ValueCountFrequency (%)
해역 618
 
9.5%
지역 564
 
8.6%
일본 228
 
3.5%
북한 143
 
2.2%
경북 119
 
1.8%
북북서쪽 118
 
1.8%
동쪽 93
 
1.4%
대만 91
 
1.4%
북동쪽 90
 
1.4%
남남서쪽 87
 
1.3%
Other values (879) 4383
67.1%
2024-05-11T17:09:45.808339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5399
20.7%
역 1182
 
4.5%
k 1171
 
4.5%
m 1171
 
4.5%
쪽 1171
 
4.5%
북 1147
 
4.4%
남 834
 
3.2%
동 717
 
2.7%
해 710
 
2.7%
서 648
 
2.5%
Other values (315) 11987
45.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15489
59.3%
Space Separator 5399
 
20.7%
Decimal Number 2623
 
10.0%
Lowercase Letter 2342
 
9.0%
Close Punctuation 142
 
0.5%
Open Punctuation 142
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
역 1182
 
7.6%
쪽 1171
 
7.6%
북 1147
 
7.4%
남 834
 
5.4%
동 717
 
4.6%
해 710
 
4.6%
서 648
 
4.2%
지 622
 
4.0%
도 391
 
2.5%
시 366
 
2.4%
Other values (300) 7701
49.7%
Decimal Number
ValueCountFrequency (%)
1 537
20.5%
2 323
12.3%
3 289
11.0%
4 273
10.4%
5 240
9.1%
0 209
 
8.0%
7 200
 
7.6%
6 190
 
7.2%
8 189
 
7.2%
9 173
 
6.6%
Lowercase Letter
ValueCountFrequency (%)
k 1171
50.0%
m 1171
50.0%
Space Separator
ValueCountFrequency (%)
5399
100.0%
Close Punctuation
ValueCountFrequency (%)
) 142
100.0%
Open Punctuation
ValueCountFrequency (%)
( 142
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15489
59.3%
Common 8306
31.8%
Latin 2342
 
9.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
역 1182
 
7.6%
쪽 1171
 
7.6%
북 1147
 
7.4%
남 834
 
5.4%
동 717
 
4.6%
해 710
 
4.6%
서 648
 
4.2%
지 622
 
4.0%
도 391
 
2.5%
시 366
 
2.4%
Other values (300) 7701
49.7%
Common
ValueCountFrequency (%)
5399
65.0%
1 537
 
6.5%
2 323
 
3.9%
3 289
 
3.5%
4 273
 
3.3%
5 240
 
2.9%
0 209
 
2.5%
7 200
 
2.4%
6 190
 
2.3%
8 189
 
2.3%
Other values (3) 457
 
5.5%
Latin
ValueCountFrequency (%)
k 1171
50.0%
m 1171
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15489
59.3%
ASCII 10648
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5399
50.7%
k 1171
 
11.0%
m 1171
 
11.0%
1 537
 
5.0%
2 323
 
3.0%
3 289
 
2.7%
4 273
 
2.6%
5 240
 
2.3%
0 209
 
2.0%
7 200
 
1.9%
Other values (5) 836
 
7.9%
Hangul
ValueCountFrequency (%)
역 1182
 
7.6%
쪽 1171
 
7.6%
북 1147
 
7.4%
남 834
 
5.4%
동 717
 
4.6%
해 710
 
4.6%
서 648
 
4.2%
지 622
 
4.0%
도 391
 
2.5%
시 366
 
2.4%
Other values (300) 7701
49.7%

진앙지2
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1195
Missing (%)100.0%
Memory size10.6 KiB

참고사항
Text

Distinct70
Distinct (%)5.9%
Missing11
Missing (%)0.9%
Memory size9.5 KiB
2024-05-11T17:09:46.047011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length126
Median length121
Mean length28.194257
Min length10

Characters and Unicode

Total characters33382
Distinct characters182
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)4.1%

Sample

1st row자연지진으로 분석됨
2nd row국내영향없음. 위 자료는 미지질조사소(USGS) 분석결과임.
3rd row자연지진으로 분석됨
4th row국내영향없음. 위 자료는 미지질조사소(USGS) 분석결과임.
5th row자연지진으로 분석됨
ValueCountFrequency (%)
위 688
 
10.9%
분석결과임 673
 
10.7%
자료는 673
 
10.7%
국내영향없음 659
 
10.4%
미지질조사소(usgs 341
 
5.4%
없을 289
 
4.6%
것으로 289
 
4.6%
예상됨 285
 
4.5%
지진피해 283
 
4.5%
일본기상청(jma 224
 
3.5%
Other values (204) 1908
30.2%
2024-05-11T17:09:46.441224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5137
 
15.4%
. 1588
 
4.8%
지 1126
 
3.4%
없 950
 
2.8%
분 850
 
2.5%
석 838
 
2.5%
자 836
 
2.5%
국 765
 
2.3%
음 748
 
2.2%
임 726
 
2.2%
Other values (172) 19818
59.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22604
67.7%
Space Separator 5137
 
15.4%
Uppercase Letter 2390
 
7.2%
Other Punctuation 1618
 
4.8%
Open Punctuation 696
 
2.1%
Close Punctuation 696
 
2.1%
Decimal Number 206
 
0.6%
Lowercase Letter 20
 
0.1%
Dash Punctuation 12
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 1126
 
5.0%
없 950
 
4.2%
분 850
 
3.8%
석 838
 
3.7%
자 836
 
3.7%
국 765
 
3.4%
음 748
 
3.3%
임 726
 
3.2%
진 720
 
3.2%
는 714
 
3.2%
Other values (134) 14331
63.4%
Uppercase Letter
ValueCountFrequency (%)
S 685
28.7%
U 341
14.3%
G 341
14.3%
A 259
 
10.8%
M 225
 
9.4%
J 224
 
9.4%
C 109
 
4.6%
W 90
 
3.8%
B 76
 
3.2%
E 18
 
0.8%
Other values (5) 22
 
0.9%
Decimal Number
ValueCountFrequency (%)
2 42
20.4%
1 41
19.9%
0 36
17.5%
9 19
9.2%
6 17
8.3%
5 12
 
5.8%
7 12
 
5.8%
4 11
 
5.3%
3 9
 
4.4%
8 7
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 1588
98.1%
, 21
 
1.3%
: 7
 
0.4%
' 2
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 693
99.6%
[ 3
 
0.4%
Close Punctuation
ValueCountFrequency (%)
) 693
99.6%
] 3
 
0.4%
Lowercase Letter
ValueCountFrequency (%)
m 11
55.0%
k 9
45.0%
Space Separator
ValueCountFrequency (%)
5137
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Math Symbol
ValueCountFrequency (%)
= 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22604
67.7%
Common 8368
 
25.1%
Latin 2410
 
7.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 1126
 
5.0%
없 950
 
4.2%
분 850
 
3.8%
석 838
 
3.7%
자 836
 
3.7%
국 765
 
3.4%
음 748
 
3.3%
임 726
 
3.2%
진 720
 
3.2%
는 714
 
3.2%
Other values (134) 14331
63.4%
Common
ValueCountFrequency (%)
5137
61.4%
. 1588
 
19.0%
( 693
 
8.3%
) 693
 
8.3%
2 42
 
0.5%
1 41
 
0.5%
0 36
 
0.4%
, 21
 
0.3%
9 19
 
0.2%
6 17
 
0.2%
Other values (11) 81
 
1.0%
Latin
ValueCountFrequency (%)
S 685
28.4%
U 341
14.1%
G 341
14.1%
A 259
 
10.7%
M 225
 
9.3%
J 224
 
9.3%
C 109
 
4.5%
W 90
 
3.7%
B 76
 
3.2%
E 18
 
0.7%
Other values (7) 42
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22604
67.7%
ASCII 10778
32.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5137
47.7%
. 1588
 
14.7%
( 693
 
6.4%
) 693
 
6.4%
S 685
 
6.4%
U 341
 
3.2%
G 341
 
3.2%
A 259
 
2.4%
M 225
 
2.1%
J 224
 
2.1%
Other values (28) 592
 
5.5%
Hangul
ValueCountFrequency (%)
지 1126
 
5.0%
없 950
 
4.2%
분 850
 
3.8%
석 838
 
3.7%
자 836
 
3.7%
국 765
 
3.4%
음 748
 
3.3%
임 726
 
3.2%
진 720
 
3.2%
는 714
 
3.2%
Other values (134) 14331
63.4%

수정사항
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
<NA>
1192 
=
 
3

Length

Max length4
Median length4
Mean length3.9924686
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1192
99.7%
= 3
 
0.3%

Length

2024-05-11T17:09:46.585277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:09:46.686950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1192
99.7%
3
 
0.3%

표출여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
True
1195 
ValueCountFrequency (%)
True 1195
100.0%
2024-05-11T17:09:46.782707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

확인시간
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)33.3%
Missing1192
Missing (%)99.7%
Memory size9.5 KiB
Minimum2001-01-01 00:00:00
Maximum2001-01-01 00:00:00
2024-05-11T17:09:46.879567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:09:46.967109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

이벤트 파형 파일명
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing1193
Missing (%)99.8%
Memory size9.5 KiB
2024-05-11T17:09:47.096719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length19
Mean length19
Min length19

Characters and Unicode

Total characters38
Distinct characters17
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st rowKW_KEVT_2017064.zip
2nd rowKW_KEVT_2016304.zip
ValueCountFrequency (%)
kw_kevt_2017064.zip 1
50.0%
kw_kevt_2016304.zip 1
50.0%
2024-05-11T17:09:47.349822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
K 4
 
10.5%
_ 4
 
10.5%
0 4
 
10.5%
6 2
 
5.3%
p 2
 
5.3%
i 2
 
5.3%
z 2
 
5.3%
. 2
 
5.3%
4 2
 
5.3%
1 2
 
5.3%
Other values (7) 12
31.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 14
36.8%
Uppercase Letter 12
31.6%
Lowercase Letter 6
15.8%
Connector Punctuation 4
 
10.5%
Other Punctuation 2
 
5.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4
28.6%
6 2
14.3%
4 2
14.3%
1 2
14.3%
2 2
14.3%
7 1
 
7.1%
3 1
 
7.1%
Uppercase Letter
ValueCountFrequency (%)
K 4
33.3%
W 2
16.7%
T 2
16.7%
V 2
16.7%
E 2
16.7%
Lowercase Letter
ValueCountFrequency (%)
p 2
33.3%
i 2
33.3%
z 2
33.3%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 20
52.6%
Latin 18
47.4%

Most frequent character per script

Common
ValueCountFrequency (%)
_ 4
20.0%
0 4
20.0%
6 2
10.0%
. 2
10.0%
4 2
10.0%
1 2
10.0%
2 2
10.0%
7 1
 
5.0%
3 1
 
5.0%
Latin
ValueCountFrequency (%)
K 4
22.2%
p 2
11.1%
i 2
11.1%
z 2
11.1%
W 2
11.1%
T 2
11.1%
V 2
11.1%
E 2
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 38
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
K 4
 
10.5%
_ 4
 
10.5%
0 4
 
10.5%
6 2
 
5.3%
p 2
 
5.3%
i 2
 
5.3%
z 2
 
5.3%
. 2
 
5.3%
4 2
 
5.3%
1 2
 
5.3%
Other values (7) 12
31.6%

등록일자
Date

Distinct1102
Distinct (%)92.4%
Missing3
Missing (%)0.3%
Memory size9.5 KiB
Minimum2018-04-30 15:47:26
Maximum2024-05-09 06:29:06
2024-05-11T17:09:47.485821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:09:47.632651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

지진번호(기상청)
Real number (ℝ)

Distinct1177
Distinct (%)98.7%
Missing3
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean2.0209769 × 109
Minimum2.0180004 × 109
Maximum2.0240026 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2024-05-11T17:09:47.786071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0180004 × 109
5-th percentile2.0180029 × 109
Q12.0190108 × 109
median2.0210057 × 109
Q32.0230006 × 109
95-th percentile2.024001 × 109
Maximum2.0240026 × 109
Range6002203
Interquartile range (IQR)3989891.5

Descriptive statistics

Standard deviation1892846.6
Coefficient of variation (CV)0.00093659984
Kurtosis-1.2106075
Mean2.0209769 × 109
Median Absolute Deviation (MAD)1994947
Skewness-0.16115589
Sum2.4090045 × 1012
Variance3.5828684 × 1012
MonotonicityNot monotonic
2024-05-11T17:09:47.931086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2021004765 2
 
0.2%
2020005363 2
 
0.2%
2019003859 2
 
0.2%
2019004074 2
 
0.2%
2023008155 2
 
0.2%
2019001035 2
 
0.2%
2021007178 2
 
0.2%
2022006201 2
 
0.2%
2022006202 2
 
0.2%
2023004355 2
 
0.2%
Other values (1167) 1172
98.1%
(Missing) 3
 
0.3%
ValueCountFrequency (%)
2018000357 1
0.1%
2018000377 1
0.1%
2018000516 1
0.1%
2018000545 1
0.1%
2018000640 1
0.1%
2018000674 1
0.1%
2018000775 1
0.1%
2018000800 1
0.1%
2018001032 1
0.1%
2018001074 1
0.1%
ValueCountFrequency (%)
2024002560 1
0.1%
2024002553 1
0.1%
2024002531 1
0.1%
2024002503 1
0.1%
2024002359 1
0.1%
2024002346 1
0.1%
2024002338 1
0.1%
2024002330 1
0.1%
2024002327 1
0.1%
2024002319 1
0.1%

발표차수(기상청)
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
<NA>
862 
1
333 

Length

Max length4
Median length4
Mean length3.1640167
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 862
72.1%
1 333
 
27.9%

Length

2024-05-11T17:09:48.077736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:09:48.193792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 862
72.1%
1 333
 
27.9%

내륙해역구분
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1195
Missing (%)100.0%
Memory size10.6 KiB

남북한구분
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1195
Missing (%)100.0%
Memory size10.6 KiB

진도분류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1195
Missing (%)100.0%
Memory size10.6 KiB

시도별 진도등급
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1195
Missing (%)100.0%
Memory size10.6 KiB

행정구역별 진도등급 URL
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1195
Missing (%)100.0%
Memory size10.6 KiB

격자별 진도등급 URL
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1195
Missing (%)100.0%
Memory size10.6 KiB

진도 MAP 이미지 URL
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1195
Missing (%)100.0%
Memory size10.6 KiB

진앙지도 이미지URL
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1195
Missing (%)100.0%
Memory size10.6 KiB

행정구역별 진도등급 XML 파일명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1195
Missing (%)100.0%
Memory size10.6 KiB

격자별 진도등급 XML 파일명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1195
Missing (%)100.0%
Memory size10.6 KiB

진도 MAP 이미지명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1195
Missing (%)100.0%
Memory size10.6 KiB

진앙지도 이미지명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1195
Missing (%)100.0%
Memory size10.6 KiB

깊이 (단위:KM)
Real number (ℝ)

MISSING 

Distinct180
Distinct (%)16.3%
Missing94
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean52.831063
Minimum3
Maximum669
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2024-05-11T17:09:48.313265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile7
Q110
median17
Q340
95-th percentile218
Maximum669
Range666
Interquartile range (IQR)30

Descriptive statistics

Standard deviation106.67442
Coefficient of variation (CV)2.0191609
Kurtosis15.176063
Mean52.831063
Median Absolute Deviation (MAD)7
Skewness3.8450107
Sum58167
Variance11379.431
MonotonicityNot monotonic
2024-05-11T17:09:48.455029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 209
 
17.5%
20 45
 
3.8%
8 38
 
3.2%
17 37
 
3.1%
12 36
 
3.0%
14 36
 
3.0%
6 33
 
2.8%
9 32
 
2.7%
16 31
 
2.6%
15 31
 
2.6%
Other values (170) 573
47.9%
(Missing) 94
 
7.9%
ValueCountFrequency (%)
3 1
 
0.1%
4 1
 
0.1%
5 13
 
1.1%
6 33
 
2.8%
7 21
 
1.8%
8 38
 
3.2%
9 32
 
2.7%
10 209
17.5%
11 25
 
2.1%
12 36
 
3.0%
ValueCountFrequency (%)
669 1
0.1%
665 1
0.1%
629 2
0.2%
627 1
0.1%
616 1
0.1%
611 1
0.1%
610 1
0.1%
601 1
0.1%
599 1
0.1%
598 2
0.2%

Sample

지진ID지진번호구분구분명전송시각진원시위도 (단위:`N)경도 (단위:`E)규모 (리히터 기준)진앙지진앙지2참고사항수정사항표출여부확인시간이벤트 파형 파일명등록일자지진번호(기상청)발표차수(기상청)내륙해역구분남북한구분진도분류시도별 진도등급행정구역별 진도등급 URL격자별 진도등급 URL진도 MAP 이미지 URL진앙지도 이미지URL행정구역별 진도등급 XML 파일명격자별 진도등급 XML 파일명진도 MAP 이미지명진앙지도 이미지명깊이 (단위:KM)
0202400000508<NA>1지진정보2024050906272024050905412541.32129.182.2북한 함경북도 길주 북북서쪽 42km 지역<NA>자연지진으로 분석됨<NA>Y<NA><NA>2024-05-09 06:29:06.02024002560<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>11
1202400000505<NA>3국외지진20240508173920240508171715-15.14168.06.1바누아투 루간빌 동북동쪽 99km 해역<NA>국내영향없음. 위 자료는 미지질조사소(USGS) 분석결과임.<NA>Y<NA><NA>2024-05-08 17:41:06.02024002553<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>13
2202400000503<NA>1지진정보2024050801112024050800500038.8126.172.2북한 황해북도 연산 남서쪽 11km 지역<NA>자연지진으로 분석됨<NA>Y<NA><NA>2024-05-08 01:13:06.02024002531<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>11
3202400000495<NA>3국외지진20240506035220240506033310-3.31130.986.2인도네시아 소롱 남쪽 273km 해역<NA>국내영향없음. 위 자료는 미지질조사소(USGS) 분석결과임.<NA>Y<NA><NA>2024-05-06 03:54:06.02024002503<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>12
4202400000476<NA>1지진정보2024043002392024043001544641.3129.142.5북한 함경북도 길주 북북서쪽 41km 지역<NA>자연지진으로 분석됨<NA>Y<NA><NA>2024-04-30 02:40:07.02024002359<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>16
5202400000472<NA>3국외지진2024042903012024042902402124.15121.665.0대만 화롄현 북북동쪽 21km 지역<NA>국내영향없음. 위 자료는 대만기상청(CWA) 분석결과임.<NA>Y<NA><NA>2024-04-29 03:03:06.02024002346<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>36
6202400000468<NA>3국외지진2024042813062024042812430038.27122.964.4중국 랴오닝성 다롄시 동남동쪽 137km 해역<NA>국내 일부지역에서 지진동을 느낄수 있음. 위 자료는 중국지진청(CEA) 분석결과임.<NA>Y<NA><NA>2024-04-28 13:08:06.02024002338<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>30
7202400000467<NA>1지진정보2024042810372024042810334335.61128.282.2경남 합천군 동북동쪽 11km 지역<NA>지진 발생 인근 지역은 지진동을 느낄 수 있음. 안전에 유의하기 바람.<NA>Y<NA><NA>2024-04-28 10:38:06.02024002330<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>14
8202400000464<NA>3국외지진20240428015520240428012951-8.11107.276.1인도네시아 반자르 남쪽 102km 해역<NA>국내영향없음. 위 자료는 미지질조사소(USGS) 분석결과임.<NA>Y<NA><NA>2024-04-28 01:57:06.02024002327<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>68
9202400000461<NA>3국외지진2024042717432024042717360027.9140.06.9일본 시즈오카현 하마마쓰시 남남동쪽 787km 해역<NA>국내영향없음. 위 자료는 일본기상청(JMA) 분석결과임.<NA>Y<NA><NA>2024-04-27 17:45:06.02024002319<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>540
지진ID지진번호구분구분명전송시각진원시위도 (단위:`N)경도 (단위:`E)규모 (리히터 기준)진앙지진앙지2참고사항수정사항표출여부확인시간이벤트 파형 파일명등록일자지진번호(기상청)발표차수(기상청)내륙해역구분남북한구분진도분류시도별 진도등급행정구역별 진도등급 URL격자별 진도등급 URL진도 MAP 이미지 URL진앙지도 이미지URL행정구역별 진도등급 XML 파일명격자별 진도등급 XML 파일명진도 MAP 이미지명진앙지도 이미지명깊이 (단위:KM)
1185201800000009<NA>3국외지진201801120345002018011203262418.4396.096.0미얀마 네피도 남쪽 145km<NA>국내영향없음. 위 자료는 미지질조사소(USGS) 분석결과임.<NA>Y<NA><NA>2018-04-30 15:47:26.020181000801<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>10
1186201800000007<NA>1지진정보201801101847002018011018425936.26127.342.0대전 서구 남남서쪽 12km 지역<NA>지진피해 없을 것으로 예상됨<NA>Y<NA><NA>2018-04-30 15:47:26.020181000691<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20
1187201800000006<NA>3국외지진201801101210002018011011513217.5-83.67.8온두라스 테구시갈파 북동쪽 540km 해역<NA>국내영향없음. 위 자료는 미지질조사소(USGS) 분석결과임.<NA>Y<NA><NA>2018-04-30 15:47:26.020181000671<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>33
1188201800000005<NA>1지진정보201801091621002018010916175133.98127.112.1전남 여수시 거문도 서남서쪽 19km 해역<NA>지진피해 없을 것으로 예상됨<NA>Y<NA><NA>2018-04-30 15:47:26.020181000621<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20
1189201800000004<NA>1지진정보201801060251002018010602471637.71125.942.2인천 옹진군 연평도 동북동쪽 21km 해역<NA>지진피해 없을 것으로 예상됨<NA>Y<NA><NA>2018-04-30 15:47:26.020181000281<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>12
1190201800000002<NA>1지진정보201801011915002018010119115336.11129.362.0경북 포항시 북구 북쪽 8km 지역<NA>경북 포항지진의 여진입니다. 지진피해 없을 것으로 예상됨.<NA>Y<NA><NA>2018-04-30 15:47:26.020181000061<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>8
1191201800000001<NA>1지진정보201801011847002018010118350138.33126.162.1북한 황해북도 평산 서쪽 20km 지역<NA>자연지진으로 분석됨<NA>Y<NA><NA>2018-04-30 15:47:26.020181000051<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
11922017021200120170641지진정보201702120925022017021209222735.689999129.5800022.3울산 북구 동북동쪽 23km 해역<NA>=피해 없을 것으로 예상함=Y2001-01-01 00:00:00.0KW_KEVT_2017064.zip<NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>10
11932016091200220163041지진정보201609122037462016091220325435.77129.1799935.8경북 경주시 남남서쪽 8km 지역<NA>=이 지진정보는 자동계기분석 결과이며 상세분석 후 변경될 수 있음. KBS, MBC, SBS, YTN은 지진발생현황을 자막방송 협조 바람.=Y2001-01-01 00:00:00.0KW_KEVT_2016304.zip<NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>10
11942016071700120161893국외지진201607171333012016071713240036.009998139.8999945.0일본 사이타마현(혼슈) 사이타마 북동쪽 28km 지역<NA>=위 자료는 일본기상청(JMA) 분석결과임 국내영향없음=Y2001-01-01 00:00:00.0<NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>10