Overview

Dataset statistics

Number of variables27
Number of observations1498
Missing cells5044
Missing cells (%)12.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory333.7 KiB
Average record size in memory228.1 B

Variable types

Text7
Categorical11
Numeric5
Boolean1
Unsupported2
DateTime1

Dataset

Description지진·해일 대피소 현황(제공표준)
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=IA2KPZXKOGTE23O3XORU25949765&infSeq=1

Alerts

지진해일대피소구분 has constant value ""Constant
지진해일대피소운영상태 is highly imbalanced (80.5%)Imbalance
부대편의시설 is highly imbalanced (79.5%)Imbalance
주민대피지구내가구수 is highly imbalanced (72.2%)Imbalance
주민대피지구내거주인수 is highly imbalanced (85.8%)Imbalance
주민대피지구내재해약자수 is highly imbalanced (85.8%)Imbalance
내진설계등급 is highly imbalanced (91.5%)Imbalance
지진대피안내표지판수 is highly imbalanced (57.3%)Imbalance
긴급대피장소안내표지판수 is highly imbalanced (89.8%)Imbalance
소재지도로명주소 has 110 (7.3%) missing valuesMissing
해안선이격거리 has 1498 (100.0%) missing valuesMissing
해발높이 has 1498 (100.0%) missing valuesMissing
지진대피로안내표지판수 has 1452 (96.9%) missing valuesMissing
관리기관전화번호 has 477 (31.8%) missing valuesMissing
수용가능면적 is highly skewed (γ1 = 24.69712351)Skewed
해안선이격거리 is an unsupported type, check if it needs cleaning or further analysisUnsupported
해발높이 is an unsupported type, check if it needs cleaning or further analysisUnsupported
수용가능면적 has 27 (1.8%) zerosZeros
지진대피로안내표지판수 has 40 (2.7%) zerosZeros

Reproduction

Analysis started2023-12-10 21:15:59.407777
Analysis finished2023-12-10 21:16:00.474912
Duration1.07 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지진해일대피소명
Text

Distinct1404
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
2023-12-11T06:16:00.679137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length8.222964
Min length3

Characters and Unicode

Total characters12318
Distinct characters366
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1338 ?
Unique (%)89.3%

Sample

1st row가평고등학교운동장
2nd row가평종합운동장
3rd row가평중학교운동장
4th row목동초등학교운동장
5th row미원초등학교운동장
ValueCountFrequency (%)
운동장 691
29.4%
어린이공원 61
 
2.6%
학교운동장 34
 
1.4%
마을회관 13
 
0.6%
주민센터 11
 
0.5%
남양주 7
 
0.3%
공설운동장 6
 
0.3%
공원 5
 
0.2%
행정복지센터 4
 
0.2%
체육관 4
 
0.2%
Other values (1384) 1516
64.5%
2023-12-11T06:16:01.197650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 1070
 
8.7%
학 1059
 
8.6%
동 881
 
7.2%
855
 
6.9%
장 817
 
6.6%
등 799
 
6.5%
운 787
 
6.4%
초 696
 
5.7%
원 304
 
2.5%
공 259
 
2.1%
Other values (356) 4791
38.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11344
92.1%
Space Separator 855
 
6.9%
Decimal Number 81
 
0.7%
Open Punctuation 15
 
0.1%
Close Punctuation 15
 
0.1%
Other Punctuation 6
 
< 0.1%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 1070
 
9.4%
학 1059
 
9.3%
동 881
 
7.8%
장 817
 
7.2%
등 799
 
7.0%
운 787
 
6.9%
초 696
 
6.1%
원 304
 
2.7%
공 259
 
2.3%
중 247
 
2.2%
Other values (342) 4425
39.0%
Decimal Number
ValueCountFrequency (%)
1 30
37.0%
2 20
24.7%
3 10
 
12.3%
4 6
 
7.4%
6 5
 
6.2%
7 4
 
4.9%
5 4
 
4.9%
8 2
 
2.5%
Other Punctuation
ValueCountFrequency (%)
, 4
66.7%
& 2
33.3%
Space Separator
ValueCountFrequency (%)
855
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Uppercase Letter
ValueCountFrequency (%)
P 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11344
92.1%
Common 972
 
7.9%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 1070
 
9.4%
학 1059
 
9.3%
동 881
 
7.8%
장 817
 
7.2%
등 799
 
7.0%
운 787
 
6.9%
초 696
 
6.1%
원 304
 
2.7%
공 259
 
2.3%
중 247
 
2.2%
Other values (342) 4425
39.0%
Common
ValueCountFrequency (%)
855
88.0%
1 30
 
3.1%
2 20
 
2.1%
( 15
 
1.5%
) 15
 
1.5%
3 10
 
1.0%
4 6
 
0.6%
6 5
 
0.5%
7 4
 
0.4%
5 4
 
0.4%
Other values (3) 8
 
0.8%
Latin
ValueCountFrequency (%)
P 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11344
92.1%
ASCII 974
 
7.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 1070
 
9.4%
학 1059
 
9.3%
동 881
 
7.8%
장 817
 
7.2%
등 799
 
7.0%
운 787
 
6.9%
초 696
 
6.1%
원 304
 
2.7%
공 259
 
2.3%
중 247
 
2.2%
Other values (342) 4425
39.0%
ASCII
ValueCountFrequency (%)
855
87.8%
1 30
 
3.1%
2 20
 
2.1%
( 15
 
1.5%
) 15
 
1.5%
3 10
 
1.0%
4 6
 
0.6%
6 5
 
0.5%
7 4
 
0.4%
5 4
 
0.4%
Other values (4) 10
 
1.0%

지진해일대피소구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
지진대피소
1498 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row지진대피소
2nd row지진대피소
3rd row지진대피소
4th row지진대피소
5th row지진대피소

Common Values

ValueCountFrequency (%)
지진대피소 1498
100.0%

Length

2023-12-11T06:16:01.363652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:16:01.461900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지진대피소 1498
100.0%

지진해일대피소유형
Categorical

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
옥외대피소
623 
옥외대피장소
596 
실내대피소
197 
실내구호소
69 
지진해일긴급대피장소
 
13

Length

Max length10
Median length5
Mean length5.441255
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row옥외대피장소
2nd row옥외대피장소
3rd row옥외대피장소
4th row옥외대피장소
5th row옥외대피장소

Common Values

ValueCountFrequency (%)
옥외대피소 623
41.6%
옥외대피장소 596
39.8%
실내대피소 197
 
13.2%
실내구호소 69
 
4.6%
지진해일긴급대피장소 13
 
0.9%

Length

2023-12-11T06:16:01.563017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:16:01.690659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
옥외대피소 623
41.6%
옥외대피장소 596
39.8%
실내대피소 197
 
13.2%
실내구호소 69
 
4.6%
지진해일긴급대피장소 13
 
0.9%

지진해일대피소유형구분
Categorical

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
운동장
629 
학교
469 
공원
250 
기타
131 
체육관
 
19

Length

Max length3
Median length2
Mean length2.4325768
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row운동장
2nd row운동장
3rd row운동장
4th row운동장
5th row운동장

Common Values

ValueCountFrequency (%)
운동장 629
42.0%
학교 469
31.3%
공원 250
 
16.7%
기타 131
 
8.7%
체육관 19
 
1.3%

Length

2023-12-11T06:16:01.808682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:16:01.912256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운동장 629
42.0%
학교 469
31.3%
공원 250
 
16.7%
기타 131
 
8.7%
체육관 19
 
1.3%

소재지도로명주소
Text

MISSING 

Distinct1314
Distinct (%)94.7%
Missing110
Missing (%)7.3%
Memory size11.8 KiB
2023-12-11T06:16:02.232855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length37
Mean length19.49928
Min length13

Characters and Unicode

Total characters27065
Distinct characters336
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1241 ?
Unique (%)89.4%

Sample

1st row경기도 가평군 가평읍 호반로 2601
2nd row경기도 가평군 가평읍 문화로 131
3rd row경기도 가평군 가평읍 광장로 10
4th row경기도 가평군 북면 석장모루길 13
5th row경기도 가평군 설악면 신천중앙로120번길 11
ValueCountFrequency (%)
경기도 1388
 
21.5%
안산시 188
 
2.9%
화성시 104
 
1.6%
단원구 100
 
1.6%
상록구 88
 
1.4%
파주시 80
 
1.2%
양주시 77
 
1.2%
의정부시 73
 
1.1%
광명시 69
 
1.1%
고양시 67
 
1.0%
Other values (1768) 4217
65.4%
2023-12-11T06:16:02.769459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5218
19.3%
도 1435
 
5.3%
경 1427
 
5.3%
기 1410
 
5.2%
시 1386
 
5.1%
로 1169
 
4.3%
1 926
 
3.4%
2 615
 
2.3%
3 533
 
2.0%
길 524
 
1.9%
Other values (326) 12422
45.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16801
62.1%
Space Separator 5218
 
19.3%
Decimal Number 4556
 
16.8%
Dash Punctuation 207
 
0.8%
Close Punctuation 129
 
0.5%
Open Punctuation 129
 
0.5%
Other Punctuation 25
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 1435
 
8.5%
경 1427
 
8.5%
기 1410
 
8.4%
시 1386
 
8.2%
로 1169
 
7.0%
길 524
 
3.1%
구 392
 
2.3%
산 382
 
2.3%
주 334
 
2.0%
안 333
 
2.0%
Other values (311) 8009
47.7%
Decimal Number
ValueCountFrequency (%)
1 926
20.3%
2 615
13.5%
3 533
11.7%
5 431
9.5%
4 405
8.9%
7 388
8.5%
6 361
 
7.9%
0 325
 
7.1%
9 293
 
6.4%
8 279
 
6.1%
Space Separator
ValueCountFrequency (%)
5218
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 207
100.0%
Close Punctuation
ValueCountFrequency (%)
) 129
100.0%
Open Punctuation
ValueCountFrequency (%)
( 129
100.0%
Other Punctuation
ValueCountFrequency (%)
, 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16801
62.1%
Common 10264
37.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 1435
 
8.5%
경 1427
 
8.5%
기 1410
 
8.4%
시 1386
 
8.2%
로 1169
 
7.0%
길 524
 
3.1%
구 392
 
2.3%
산 382
 
2.3%
주 334
 
2.0%
안 333
 
2.0%
Other values (311) 8009
47.7%
Common
ValueCountFrequency (%)
5218
50.8%
1 926
 
9.0%
2 615
 
6.0%
3 533
 
5.2%
5 431
 
4.2%
4 405
 
3.9%
7 388
 
3.8%
6 361
 
3.5%
0 325
 
3.2%
9 293
 
2.9%
Other values (5) 769
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16801
62.1%
ASCII 10264
37.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5218
50.8%
1 926
 
9.0%
2 615
 
6.0%
3 533
 
5.2%
5 431
 
4.2%
4 405
 
3.9%
7 388
 
3.8%
6 361
 
3.5%
0 325
 
3.2%
9 293
 
2.9%
Other values (5) 769
 
7.5%
Hangul
ValueCountFrequency (%)
도 1435
 
8.5%
경 1427
 
8.5%
기 1410
 
8.4%
시 1386
 
8.2%
로 1169
 
7.0%
길 524
 
3.1%
구 392
 
2.3%
산 382
 
2.3%
주 334
 
2.0%
안 333
 
2.0%
Other values (311) 8009
47.7%

소재지지번주소
Text

Distinct1396
Distinct (%)93.4%
Missing3
Missing (%)0.2%
Memory size11.8 KiB
2023-12-11T06:16:03.168370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length30
Mean length20.331773
Min length15

Characters and Unicode

Total characters30396
Distinct characters251
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1298 ?
Unique (%)86.8%

Sample

1st row경기도 가평군 가평읍 대곡리 66-2번지
2nd row경기도 가평군 가평읍 대곡리 316번지
3rd row경기도 가평군 가평읍 대곡리 273번지
4th row경기도 가평군 북면 이곡리 13-45번지
5th row경기도 가평군 설악면 신천리 439-2번지
ValueCountFrequency (%)
경기도 1495
 
21.8%
안산시 185
 
2.7%
수원시 130
 
1.9%
화성시 104
 
1.5%
단원구 98
 
1.4%
광명시 88
 
1.3%
상록구 87
 
1.3%
파주시 80
 
1.2%
양주시 77
 
1.1%
의정부시 73
 
1.1%
Other values (1980) 4430
64.7%
2023-12-11T06:16:03.664990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5352
 
17.6%
도 1535
 
5.1%
기 1512
 
5.0%
경 1503
 
4.9%
시 1469
 
4.8%
지 1313
 
4.3%
번 1244
 
4.1%
동 1217
 
4.0%
1 1054
 
3.5%
- 755
 
2.5%
Other values (241) 13442
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18824
61.9%
Decimal Number 5459
 
18.0%
Space Separator 5352
 
17.6%
Dash Punctuation 755
 
2.5%
Other Punctuation 4
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 1535
 
8.2%
기 1512
 
8.0%
경 1503
 
8.0%
시 1469
 
7.8%
지 1313
 
7.0%
번 1244
 
6.6%
동 1217
 
6.5%
구 455
 
2.4%
리 444
 
2.4%
산 406
 
2.2%
Other values (226) 7726
41.0%
Decimal Number
ValueCountFrequency (%)
1 1054
19.3%
2 657
12.0%
3 575
10.5%
5 545
10.0%
6 496
9.1%
4 476
8.7%
7 467
8.6%
0 412
 
7.5%
8 390
 
7.1%
9 387
 
7.1%
Space Separator
ValueCountFrequency (%)
5352
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 755
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18824
61.9%
Common 11572
38.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 1535
 
8.2%
기 1512
 
8.0%
경 1503
 
8.0%
시 1469
 
7.8%
지 1313
 
7.0%
번 1244
 
6.6%
동 1217
 
6.5%
구 455
 
2.4%
리 444
 
2.4%
산 406
 
2.2%
Other values (226) 7726
41.0%
Common
ValueCountFrequency (%)
5352
46.2%
1 1054
 
9.1%
- 755
 
6.5%
2 657
 
5.7%
3 575
 
5.0%
5 545
 
4.7%
6 496
 
4.3%
4 476
 
4.1%
7 467
 
4.0%
0 412
 
3.6%
Other values (5) 783
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18824
61.9%
ASCII 11572
38.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5352
46.2%
1 1054
 
9.1%
- 755
 
6.5%
2 657
 
5.7%
3 575
 
5.0%
5 545
 
4.7%
6 496
 
4.3%
4 476
 
4.1%
7 467
 
4.0%
0 412
 
3.6%
Other values (5) 783
 
6.8%
Hangul
ValueCountFrequency (%)
도 1535
 
8.2%
기 1512
 
8.0%
경 1503
 
8.0%
시 1469
 
7.8%
지 1313
 
7.0%
번 1244
 
6.6%
동 1217
 
6.5%
구 455
 
2.4%
리 444
 
2.4%
산 406
 
2.2%
Other values (226) 7726
41.0%

위도
Real number (ℝ)

Distinct1401
Distinct (%)93.7%
Missing3
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean37.465756
Minimum36.920096
Maximum38.186131
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.3 KiB
2023-12-11T06:16:03.822050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.920096
5-th percentile37.061057
Q137.285789
median37.399351
Q337.689132
95-th percentile37.898966
Maximum38.186131
Range1.266035
Interquartile range (IQR)0.40334291

Descriptive statistics

Standard deviation0.26138273
Coefficient of variation (CV)0.006976577
Kurtosis-0.64168148
Mean37.465756
Median Absolute Deviation (MAD)0.18923986
Skewness0.34117927
Sum56011.305
Variance0.068320932
MonotonicityNot monotonic
2023-12-11T06:16:03.987286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.7393601 6
 
0.4%
37.3328956 3
 
0.2%
37.7977995 2
 
0.1%
37.83719561 2
 
0.1%
37.84249472 2
 
0.1%
37.84631476 2
 
0.1%
37.79963817 2
 
0.1%
37.70010983 2
 
0.1%
37.79671153 2
 
0.1%
37.82428474 2
 
0.1%
Other values (1391) 1470
98.1%
(Missing) 3
 
0.2%
ValueCountFrequency (%)
36.9200961 1
0.1%
36.93585682 1
0.1%
36.938184 1
0.1%
36.94426261 1
0.1%
36.9462731 1
0.1%
36.96068083 1
0.1%
36.962277 1
0.1%
36.964532 1
0.1%
36.965803 1
0.1%
36.97389779 1
0.1%
ValueCountFrequency (%)
38.18613111 1
0.1%
38.18301875 1
0.1%
38.1586076 1
0.1%
38.1567377 1
0.1%
38.13538052 1
0.1%
38.10910022 1
0.1%
38.10822247 1
0.1%
38.10712491 1
0.1%
38.10280562 1
0.1%
38.1005223 1
0.1%

경도
Real number (ℝ)

Distinct1400
Distinct (%)93.6%
Missing3
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean127.01387
Minimum126.55218
Maximum127.75568
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.3 KiB
2023-12-11T06:16:04.167959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.55218
5-th percentile126.7261
Q1126.84745
median127.01102
Q3127.11784
95-th percentile127.45573
Maximum127.75568
Range1.2035023
Interquartile range (IQR)0.27039305

Descriptive statistics

Standard deviation0.21734781
Coefficient of variation (CV)0.0017112132
Kurtosis0.44481823
Mean127.01387
Median Absolute Deviation (MAD)0.1474537
Skewness0.72569579
Sum189885.74
Variance0.047240072
MonotonicityNot monotonic
2023-12-11T06:16:04.353955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0730684 6
 
0.4%
126.8147488 3
 
0.2%
127.063448 2
 
0.1%
127.0677601 2
 
0.1%
127.0738845 2
 
0.1%
126.9215534 2
 
0.1%
126.908356 2
 
0.1%
127.1341197 2
 
0.1%
127.0696113 2
 
0.1%
127.0709381 2
 
0.1%
Other values (1390) 1470
98.1%
(Missing) 3
 
0.2%
ValueCountFrequency (%)
126.5521800784 1
0.1%
126.5535829518 1
0.1%
126.575794 2
0.1%
126.5781019 1
0.1%
126.5803249 1
0.1%
126.5845877142 1
0.1%
126.5920600562 1
0.1%
126.5937004054 1
0.1%
126.5938135471 1
0.1%
126.5945643254 1
0.1%
ValueCountFrequency (%)
127.7556823803 1
0.1%
127.720114 1
0.1%
127.7056223 1
0.1%
127.7031294466 1
0.1%
127.6801479 1
0.1%
127.6701535836 1
0.1%
127.6624386 1
0.1%
127.6571031 1
0.1%
127.6546737 1
0.1%
127.652141 1
0.1%

수용가능면적
Real number (ℝ)

SKEWED  ZEROS 

Distinct1146
Distinct (%)76.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10491.009
Minimum0
Maximum2025534
Zeros27
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size13.3 KiB
2023-12-11T06:16:04.501559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile165
Q12106.25
median3757
Q36790
95-th percentile20370.15
Maximum2025534
Range2025534
Interquartile range (IQR)4683.75

Descriptive statistics

Standard deviation62200.738
Coefficient of variation (CV)5.9289566
Kurtosis751.85191
Mean10491.009
Median Absolute Deviation (MAD)2107.5
Skewness24.697124
Sum15715532
Variance3.8689318 × 109
MonotonicityNot monotonic
2023-12-11T06:16:04.667590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
165.0 29
 
1.9%
0.0 27
 
1.8%
600.0 16
 
1.1%
2640.0 15
 
1.0%
4500.0 14
 
0.9%
3000.0 13
 
0.9%
300.0 12
 
0.8%
3600.0 8
 
0.5%
5000.0 8
 
0.5%
5500.0 7
 
0.5%
Other values (1136) 1349
90.1%
ValueCountFrequency (%)
0.0 27
1.8%
33.0 1
 
0.1%
50.0 3
 
0.2%
60.0 1
 
0.1%
63.0 1
 
0.1%
66.0 2
 
0.1%
81.0 1
 
0.1%
90.0 2
 
0.1%
100.0 2
 
0.1%
108.0 1
 
0.1%
ValueCountFrequency (%)
2025534.0 1
0.1%
635170.0 1
0.1%
565295.0 1
0.1%
536255.0 1
0.1%
355800.0 1
0.1%
334790.0 1
0.1%
240092.0 1
0.1%
216247.0 1
0.1%
195565.0 1
0.1%
193990.0 1
0.1%

최대수용인원수
Real number (ℝ)

Distinct1101
Distinct (%)73.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4578.9312
Minimum10
Maximum175730
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.3 KiB
2023-12-11T06:16:04.832469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile74.85
Q1703.75
median2094.5
Q34705
95-th percentile13000
Maximum175730
Range175720
Interquartile range (IQR)4001.25

Descriptive statistics

Standard deviation11647.962
Coefficient of variation (CV)2.5438168
Kurtosis123.24637
Mean4578.9312
Median Absolute Deviation (MAD)1760.5
Skewness9.9286464
Sum6859239
Variance1.3567502 × 108
MonotonicityNot monotonic
2023-12-11T06:16:05.007869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50 34
 
2.3%
200 24
 
1.6%
100 19
 
1.3%
500 16
 
1.1%
300 13
 
0.9%
800 13
 
0.9%
150 9
 
0.6%
1000 8
 
0.5%
120 7
 
0.5%
400 7
 
0.5%
Other values (1091) 1348
90.0%
ValueCountFrequency (%)
10 1
 
0.1%
15 3
0.2%
19 1
 
0.1%
20 3
0.2%
25 2
 
0.1%
30 6
0.4%
33 1
 
0.1%
34 2
 
0.1%
37 1
 
0.1%
40 6
0.4%
ValueCountFrequency (%)
175730 1
0.1%
171301 1
0.1%
162501 1
0.1%
162042 1
0.1%
143430 1
0.1%
101451 1
0.1%
90971 1
0.1%
65529 1
0.1%
63878 1
0.1%
58785 1
0.1%

지진해일대피소운영상태
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
True
1453 
False
 
45
ValueCountFrequency (%)
True 1453
97.0%
False 45
 
3.0%
2023-12-11T06:16:05.146339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

지진해일대피소전화번호
Text

Distinct1021
Distinct (%)68.2%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
2023-12-11T06:16:05.490233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.218959
Min length11

Characters and Unicode

Total characters18304
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique910 ?
Unique (%)60.7%

Sample

1st row031-580-7004
2nd row031-8078-8047
3rd row031-580-3003
4th row031-581-0612
5th row031-584-2953
ValueCountFrequency (%)
000-0000-0000 159
 
10.6%
031-5189-3456 85
 
5.7%
031-390-0409 29
 
1.9%
031-5189-3978 19
 
1.3%
031-980-5627 16
 
1.1%
031-770-2227 13
 
0.9%
031-940-4119 11
 
0.7%
031-839-2346 10
 
0.7%
031-828-2415 9
 
0.6%
02-2680-0701 9
 
0.6%
Other values (1011) 1138
76.0%
2023-12-11T06:16:06.007570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4271
23.3%
- 2996
16.4%
3 2080
11.4%
1 2019
11.0%
8 1164
 
6.4%
6 995
 
5.4%
5 981
 
5.4%
4 973
 
5.3%
7 972
 
5.3%
2 944
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 15308
83.6%
Dash Punctuation 2996
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4271
27.9%
3 2080
13.6%
1 2019
13.2%
8 1164
 
7.6%
6 995
 
6.5%
5 981
 
6.4%
4 973
 
6.4%
7 972
 
6.3%
2 944
 
6.2%
9 909
 
5.9%
Dash Punctuation
ValueCountFrequency (%)
- 2996
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18304
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4271
23.3%
- 2996
16.4%
3 2080
11.4%
1 2019
11.0%
8 1164
 
6.4%
6 995
 
5.4%
5 981
 
5.4%
4 973
 
5.3%
7 972
 
5.3%
2 944
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18304
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4271
23.3%
- 2996
16.4%
3 2080
11.4%
1 2019
11.0%
8 1164
 
6.4%
6 995
 
5.4%
5 981
 
5.4%
4 973
 
5.3%
7 972
 
5.3%
2 944
 
5.2%

부대편의시설
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
<NA>
1426 
실내대피소
 
42
조명+화장실+전기
 
30

Length

Max length9
Median length4
Mean length4.1281709
Min length4

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> 1426
95.2%
실내대피소 42
 
2.8%
조명+화장실+전기 30
 
2.0%

Length

2023-12-11T06:16:06.178578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:16:06.300374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1426
95.2%
실내대피소 42
 
2.8%
조명+화장실+전기 30
 
2.0%

주민대피지구명
Text

Distinct123
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
2023-12-11T06:16:06.503986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length10.662216
Min length2

Characters and Unicode

Total characters15972
Distinct characters156
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique105 ?
Unique (%)7.0%

Sample

1st row별도 지구지정사항 없음
2nd row별도 지구지정사항 없음
3rd row별도 지구지정사항 없음
4th row별도 지구지정사항 없음
5th row별도 지구지정사항 없음
ValueCountFrequency (%)
없음 1140
28.9%
별도 1105
28.1%
지구지정사항 1105
28.1%
주민대피소 130
 
3.3%
남양주시 55
 
1.4%
경기도 45
 
1.1%
이천시 45
 
1.1%
운동장 36
 
0.9%
별도지구 35
 
0.9%
지정사항 35
 
0.9%
Other values (134) 207
 
5.3%
2023-12-11T06:16:06.865383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2440
15.3%
지 2323
14.5%
도 1190
7.5%
구 1180
7.4%
정 1148
7.2%
사 1144
7.2%
별 1142
7.2%
항 1140
7.1%
음 1140
7.1%
없 1140
7.1%
Other values (146) 1985
12.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13499
84.5%
Space Separator 2440
 
15.3%
Decimal Number 33
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 2323
17.2%
도 1190
8.8%
구 1180
8.7%
정 1148
8.5%
사 1144
8.5%
별 1142
8.5%
항 1140
8.4%
음 1140
8.4%
없 1140
8.4%
주 185
 
1.4%
Other values (138) 1767
13.1%
Decimal Number
ValueCountFrequency (%)
1 14
42.4%
2 8
24.2%
4 3
 
9.1%
5 3
 
9.1%
3 3
 
9.1%
7 1
 
3.0%
8 1
 
3.0%
Space Separator
ValueCountFrequency (%)
2440
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13499
84.5%
Common 2473
 
15.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 2323
17.2%
도 1190
8.8%
구 1180
8.7%
정 1148
8.5%
사 1144
8.5%
별 1142
8.5%
항 1140
8.4%
음 1140
8.4%
없 1140
8.4%
주 185
 
1.4%
Other values (138) 1767
13.1%
Common
ValueCountFrequency (%)
2440
98.7%
1 14
 
0.6%
2 8
 
0.3%
4 3
 
0.1%
5 3
 
0.1%
3 3
 
0.1%
7 1
 
< 0.1%
8 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13499
84.5%
ASCII 2473
 
15.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2440
98.7%
1 14
 
0.6%
2 8
 
0.3%
4 3
 
0.1%
5 3
 
0.1%
3 3
 
0.1%
7 1
 
< 0.1%
8 1
 
< 0.1%
Hangul
ValueCountFrequency (%)
지 2323
17.2%
도 1190
8.8%
구 1180
8.7%
정 1148
8.5%
사 1144
8.5%
별 1142
8.5%
항 1140
8.4%
음 1140
8.4%
없 1140
8.4%
주 185
 
1.4%
Other values (138) 1767
13.1%

주민대피지구내가구수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
<NA>
1388 
0
 
80
397295
 
30

Length

Max length6
Median length4
Mean length3.8798398
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> 1388
92.7%
0 80
 
5.3%
397295 30
 
2.0%

Length

2023-12-11T06:16:07.222399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:16:07.319726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1388
92.7%
0 80
 
5.3%
397295 30
 
2.0%

주민대피지구내거주인수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
<NA>
1468 
964400
 
30

Length

Max length6
Median length4
Mean length4.0400534
Min length4

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> 1468
98.0%
964400 30
 
2.0%

Length

2023-12-11T06:16:07.435398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:16:07.542559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1468
98.0%
964400 30
 
2.0%

주민대피지구내재해약자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
<NA>
1468 
3000
 
30

Length

Max length4
Median length4
Mean length4
Min length4

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> 1468
98.0%
3000 30
 
2.0%

Length

2023-12-11T06:16:07.663031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:16:07.783416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1468
98.0%
3000 30
 
2.0%

내진적용여부
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
미적용
1185 
적용
313 

Length

Max length3
Median length3
Mean length2.7910547
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row적용
2nd row적용
3rd row적용
4th row적용
5th row적용

Common Values

ValueCountFrequency (%)
미적용 1185
79.1%
적용 313
 
20.9%

Length

2023-12-11T06:16:07.908899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:16:08.023325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미적용 1185
79.1%
적용 313
 
20.9%

내진설계등급
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
<NA>
1473 
1등급
 
20
특등급
 
5

Length

Max length4
Median length4
Mean length3.9833111
Min length3

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> 1473
98.3%
1등급 20
 
1.3%
특등급 5
 
0.3%

Length

2023-12-11T06:16:08.166032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:16:08.268954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1473
98.3%
1등급 20
 
1.3%
특등급 5
 
0.3%

해안선이격거리
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1498
Missing (%)100.0%
Memory size13.3 KiB

해발높이
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1498
Missing (%)100.0%
Memory size13.3 KiB

지진대피안내표지판수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
<NA>
975 
1
512 
2
 
9
4
 
1
3
 
1

Length

Max length4
Median length4
Mean length2.9526035
Min length1

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 975
65.1%
1 512
34.2%
2 9
 
0.6%
4 1
 
0.1%
3 1
 
0.1%

Length

2023-12-11T06:16:08.377790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:16:08.500438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 975
65.1%
1 512
34.2%
2 9
 
0.6%
4 1
 
0.1%
3 1
 
0.1%

긴급대피장소안내표지판수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
<NA>
1478 
1
 
20

Length

Max length4
Median length4
Mean length3.9599466
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> 1478
98.7%
1 20
 
1.3%

Length

2023-12-11T06:16:08.641230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:16:08.769583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1478
98.7%
1 20
 
1.3%

지진대피로안내표지판수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)13.0%
Missing1452
Missing (%)96.9%
Infinite0
Infinite (%)0.0%
Mean0.34782609
Minimum0
Maximum5
Zeros40
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size13.3 KiB
2023-12-11T06:16:08.874552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2.75
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.0586656
Coefficient of variation (CV)3.0436637
Kurtosis11.024853
Mean0.34782609
Median Absolute Deviation (MAD)0
Skewness3.3567571
Sum16
Variance1.1207729
MonotonicityNot monotonic
2023-12-11T06:16:08.997269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 40
 
2.7%
1 2
 
0.1%
4 1
 
0.1%
2 1
 
0.1%
3 1
 
0.1%
5 1
 
0.1%
(Missing) 1452
96.9%
ValueCountFrequency (%)
0 40
2.7%
1 2
 
0.1%
2 1
 
0.1%
3 1
 
0.1%
4 1
 
0.1%
5 1
 
0.1%
ValueCountFrequency (%)
5 1
 
0.1%
4 1
 
0.1%
3 1
 
0.1%
2 1
 
0.1%
1 2
 
0.1%
0 40
2.7%

관리기관명
Text

Distinct224
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
2023-12-11T06:16:09.169047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length27
Mean length6.9806409
Min length3

Characters and Unicode

Total characters10457
Distinct characters160
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique168 ?
Unique (%)11.2%

Sample

1st row경기도 가평군청
2nd row경기도 가평군청
3rd row경기도 가평군청
4th row경기도 가평군청
5th row경기도 가평군청
ValueCountFrequency (%)
경기도 764
32.1%
안산시청 188
 
7.9%
수원시청 130
 
5.5%
화성시청 104
 
4.4%
광명시청 88
 
3.7%
파주시 80
 
3.4%
고양시청 67
 
2.8%
광주시청 63
 
2.6%
남양주시청 55
 
2.3%
안성시청 54
 
2.3%
Other values (224) 785
33.0%
2023-12-11T06:16:09.501159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 1257
 
12.0%
청 1147
 
11.0%
880
 
8.4%
도 857
 
8.2%
경 851
 
8.1%
기 849
 
8.1%
교 285
 
2.7%
안 242
 
2.3%
주 228
 
2.2%
원 206
 
2.0%
Other values (150) 3655
35.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9556
91.4%
Space Separator 880
 
8.4%
Decimal Number 18
 
0.2%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 1257
 
13.2%
청 1147
 
12.0%
도 857
 
9.0%
경 851
 
8.9%
기 849
 
8.9%
교 285
 
3.0%
안 242
 
2.5%
주 228
 
2.4%
원 206
 
2.2%
산 205
 
2.1%
Other values (143) 3429
35.9%
Decimal Number
ValueCountFrequency (%)
1 9
50.0%
2 7
38.9%
3 2
 
11.1%
Uppercase Letter
ValueCountFrequency (%)
B 1
33.3%
T 1
33.3%
L 1
33.3%
Space Separator
ValueCountFrequency (%)
880
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9556
91.4%
Common 898
 
8.6%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 1257
 
13.2%
청 1147
 
12.0%
도 857
 
9.0%
경 851
 
8.9%
기 849
 
8.9%
교 285
 
3.0%
안 242
 
2.5%
주 228
 
2.4%
원 206
 
2.2%
산 205
 
2.1%
Other values (143) 3429
35.9%
Common
ValueCountFrequency (%)
880
98.0%
1 9
 
1.0%
2 7
 
0.8%
3 2
 
0.2%
Latin
ValueCountFrequency (%)
B 1
33.3%
T 1
33.3%
L 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9556
91.4%
ASCII 901
 
8.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 1257
 
13.2%
청 1147
 
12.0%
도 857
 
9.0%
경 851
 
8.9%
기 849
 
8.9%
교 285
 
3.0%
안 242
 
2.5%
주 228
 
2.4%
원 206
 
2.2%
산 205
 
2.1%
Other values (143) 3429
35.9%
ASCII
ValueCountFrequency (%)
880
97.7%
1 9
 
1.0%
2 7
 
0.8%
3 2
 
0.2%
B 1
 
0.1%
T 1
 
0.1%
L 1
 
0.1%

관리기관전화번호
Text

MISSING 

Distinct179
Distinct (%)17.5%
Missing477
Missing (%)31.8%
Memory size11.8 KiB
2023-12-11T06:16:09.703367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.20764
Min length11

Characters and Unicode

Total characters12464
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique147 ?
Unique (%)14.4%

Sample

1st row031-580-4949
2nd row031-580-4949
3rd row031-580-4949
4th row031-580-4949
5th row031-580-4949
ValueCountFrequency (%)
031-228-3163 130
12.7%
031-5189-3978 104
 
10.2%
02-2680-0701 88
 
8.6%
031-940-5710 80
 
7.8%
031-8075-3237 67
 
6.6%
031-590-4407 55
 
5.4%
031-678-2994 54
 
5.3%
031-980-2914 52
 
5.1%
031-644-2980 45
 
4.4%
031-8024-4925 44
 
4.3%
Other values (169) 302
29.6%
2023-12-11T06:16:10.071681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2042
16.4%
0 2021
16.2%
3 1616
13.0%
1 1518
12.2%
2 1070
8.6%
8 1008
8.1%
9 791
 
6.3%
4 717
 
5.8%
7 688
 
5.5%
5 563
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10422
83.6%
Dash Punctuation 2042
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2021
19.4%
3 1616
15.5%
1 1518
14.6%
2 1070
10.3%
8 1008
9.7%
9 791
 
7.6%
4 717
 
6.9%
7 688
 
6.6%
5 563
 
5.4%
6 430
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 2042
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12464
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2042
16.4%
0 2021
16.2%
3 1616
13.0%
1 1518
12.2%
2 1070
8.6%
8 1008
8.1%
9 791
 
6.3%
4 717
 
5.8%
7 688
 
5.5%
5 563
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12464
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2042
16.4%
0 2021
16.2%
3 1616
13.0%
1 1518
12.2%
2 1070
8.6%
8 1008
8.1%
9 791
 
6.3%
4 717
 
5.8%
7 688
 
5.5%
5 563
 
4.5%

데이터기준일자
Date

Distinct28
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
Minimum2017-11-20 00:00:00
Maximum2023-10-20 00:00:00
2023-12-11T06:16:10.227378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:16:10.399756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

Sample

지진해일대피소명지진해일대피소구분지진해일대피소유형지진해일대피소유형구분소재지도로명주소소재지지번주소위도경도수용가능면적최대수용인원수지진해일대피소운영상태지진해일대피소전화번호부대편의시설주민대피지구명주민대피지구내가구수주민대피지구내거주인수주민대피지구내재해약자수내진적용여부내진설계등급해안선이격거리해발높이지진대피안내표지판수긴급대피장소안내표지판수지진대피로안내표지판수관리기관명관리기관전화번호데이터기준일자
0가평고등학교운동장지진대피소옥외대피장소운동장경기도 가평군 가평읍 호반로 2601경기도 가평군 가평읍 대곡리 66-2번지37.817707127.5132988394.010175Y031-580-7004<NA>별도 지구지정사항 없음<NA><NA><NA>적용<NA><NA><NA>1<NA><NA>경기도 가평군청031-580-49492023-06-05
1가평종합운동장지진대피소옥외대피장소운동장경기도 가평군 가평읍 문화로 131경기도 가평군 가평읍 대곡리 316번지37.824973127.50728917805.021582Y031-8078-8047<NA>별도 지구지정사항 없음<NA><NA><NA>적용<NA><NA><NA>1<NA><NA>경기도 가평군청031-580-49492023-06-05
2가평중학교운동장지진대피소옥외대피장소운동장경기도 가평군 가평읍 광장로 10경기도 가평군 가평읍 대곡리 273번지37.827018127.5101855625.016818Y031-580-3003<NA>별도 지구지정사항 없음<NA><NA><NA>적용<NA><NA><NA>1<NA><NA>경기도 가평군청031-580-49492023-06-05
3목동초등학교운동장지진대피소옥외대피장소운동장경기도 가평군 북면 석장모루길 13경기도 가평군 북면 이곡리 13-45번지37.879362127.5482066257.07584Y031-581-0612<NA>별도 지구지정사항 없음<NA><NA><NA>적용<NA><NA><NA>1<NA><NA>경기도 가평군청031-580-49492023-06-05
4미원초등학교운동장지진대피소옥외대피장소운동장경기도 가평군 설악면 신천중앙로120번길 11경기도 가평군 설악면 신천리 439-2번지37.679487127.4902112816.03413Y031-584-2953<NA>별도 지구지정사항 없음<NA><NA><NA>적용<NA><NA><NA>1<NA><NA>경기도 가평군청031-580-49492023-06-05
5상면초등학교운동장지진대피소옥외대피장소운동장경기도 가평군 상면 청군로 700-22경기도 가평군 상면 임초리 445-3번지37.775705127.3713033774.04575Y031-585-0978<NA>별도 지구지정사항 없음<NA><NA><NA>적용<NA><NA><NA>1<NA><NA>경기도 가평군청031-580-49492023-06-05
6설악중고등학교운동장지진대피소옥외대피장소운동장경기도 가평군 설악면 한양부로 21-1경기도 가평군 설악면 신천리 72번지37.681837127.4939553714.04502Y031-584-7778<NA>별도 지구지정사항 없음<NA><NA><NA>적용<NA><NA><NA>1<NA><NA>경기도 가평군청031-580-49492023-06-05
7조종생활체육공원지진대피소옥외대피장소공원<NA>경기도 가평군 조종면 현리 420-1337.817281127.35190815171.018389Y031-8078-8090<NA>별도 지구지정사항 없음<NA><NA><NA>적용<NA><NA><NA>1<NA><NA>경기도 가평군청031-580-49492023-06-05
8조종초등학교운동장지진대피소옥외대피장소운동장경기도 가평군 조종면 조종새싹로 13-9경기도 가평군 조종면 현리 276번지37.821008127.3488573761.04559Y031-585-0581<NA>별도 지구지정사항 없음<NA><NA><NA>적용<NA><NA><NA>1<NA><NA>경기도 가평군청031-580-49492023-06-05
9청평중학교운동장지진대피소옥외대피장소운동장경기도 가평군 청평면 골안길 7경기도 가평군 청평면 청평리 288번지37.743045127.4221273843.04658Y031-584-2390<NA>별도 지구지정사항 없음<NA><NA><NA>적용<NA><NA><NA>1<NA><NA>경기도 가평군청031-580-49492023-06-05
지진해일대피소명지진해일대피소구분지진해일대피소유형지진해일대피소유형구분소재지도로명주소소재지지번주소위도경도수용가능면적최대수용인원수지진해일대피소운영상태지진해일대피소전화번호부대편의시설주민대피지구명주민대피지구내가구수주민대피지구내거주인수주민대피지구내재해약자수내진적용여부내진설계등급해안선이격거리해발높이지진대피안내표지판수긴급대피장소안내표지판수지진대피로안내표지판수관리기관명관리기관전화번호데이터기준일자
1488행정초등학교 운동장지진대피소옥외대피장소운동장경기도 화성시 향남읍 행정중앙1로 77경기도 화성시 향남읍 행정리 493번지37.126506126.9237422769.03356Y031-5189-3456<NA>별도 지구지정사항 없음<NA><NA><NA>미적용<NA><NA><NA>1<NA><NA>경기도 화성시청031-5189-39782022-06-08
1489향남초등학교 운동장지진대피소옥외대피장소운동장경기도 화성시 향남읍 왜골길 7경기도 화성시 향남읍 백토리 551번지37.119842126.9431649324.011301Y031-5189-3456<NA>별도 지구지정사항 없음<NA><NA><NA>미적용<NA><NA><NA>1<NA><NA>경기도 화성시청031-5189-39782022-06-08
1490호연초등학교 운동장지진대피소옥외대피장소운동장경기도 화성시 장지동 925경기도 화성시 장지동 92537.16257127.1047742298.0610Y031-5189-3456<NA>별도 지구지정사항 없음<NA><NA><NA>미적용<NA><NA><NA>1<NA><NA>경기도 화성시청031-5189-39782022-06-08
1491화산초등학교 운동장지진대피소옥외대피장소운동장경기도 화성시 화산중앙로64번길 17경기도 화성시 송산동 146-9번지37.210357127.0140129825.011909Y031-5189-3456<NA>별도 지구지정사항 없음<NA><NA><NA>미적용<NA><NA><NA>1<NA><NA>경기도 화성시청031-5189-39782022-06-08
1492화성매송초등학교 운동장지진대피소옥외대피장소운동장경기도 화성시 매송면 화성로 2403경기도 화성시 매송면 원평리 67-1번지37.249217126.9281183298.03998Y031-5189-3456<NA>별도 지구지정사항 없음<NA><NA><NA>미적용<NA><NA><NA>1<NA><NA>경기도 화성시청031-5189-39782022-06-08
1493화성장안초등학교 운동장지진대피소옥외대피장소운동장경기도 화성시 장안면 조암동로 8-5경기도 화성시 장안면 어은리 812번지37.085574126.8240933470.04206Y031-5189-3456<NA>별도 지구지정사항 없음<NA><NA><NA>미적용<NA><NA><NA>1<NA><NA>경기도 화성시청031-5189-39782022-06-08
1494화성화수초등학교 운동장지진대피소옥외대피장소운동장경기도 화성시 우정읍 화수동길 145경기도 화성시 우정읍 화수리 834-13번지37.108742126.7971966852.08305Y031-5189-3456<NA>별도 지구지정사항 없음<NA><NA><NA>미적용<NA><NA><NA>1<NA><NA>경기도 화성시청031-5189-39782022-06-08
1495화원초등학교 운동장지진대피소옥외대피장소운동장경기도 화성시 향남읍 하길로 59경기도 화성시 향남읍 하길리 1506번지37.111836126.9190563046.03692Y031-5189-3456<NA>별도 지구지정사항 없음<NA><NA><NA>미적용<NA><NA><NA>1<NA><NA>경기도 화성시청031-5189-39782022-06-08
1496활초초등학교 운동장지진대피소옥외대피장소운동장경기도 화성시 남양읍 안석길111번길 106경기도 화성시 남양읍 안석리 232-1번지37.178631126.825515275.06393Y031-5189-3456<NA>별도 지구지정사항 없음<NA><NA><NA>미적용<NA><NA><NA>1<NA><NA>경기도 화성시청031-5189-39782022-06-08
1497효행초등학교 운동장지진대피소옥외대피장소운동장경기도 화성시 봉담읍 와우로 16경기도 화성시 봉담읍 와우리 592번지37.215576126.9682111857.02250Y031-5189-3456<NA>별도 지구지정사항 없음<NA><NA><NA>미적용<NA><NA><NA>1<NA><NA>경기도 화성시청031-5189-39782022-06-08