Overview

Dataset statistics

Number of variables13
Number of observations2009
Missing cells164
Missing cells (%)0.6%
Duplicate rows25
Duplicate rows (%)1.2%
Total size in memory204.2 KiB
Average record size in memory104.1 B

Variable types

Categorical7
Text2
Boolean4

Dataset

Description인천시, 군구, 산하 공공기관에서 소관 공공시설물에 대하여 내진설계, 내진성능평가, 내진보강공사를 통한 내진성능 확보여부를 확인할 수 있도록 정보를 제공
URLhttps://www.data.go.kr/data/15103288/fileData.do

Alerts

책임기관 has constant value ""Constant
Dataset has 25 (1.2%) duplicate rowsDuplicates
세부시설 구분 is highly overall correlated with 시설 종류 and 1 other fieldsHigh correlation
시군구 is highly overall correlated with 관리기관 and 1 other fieldsHigh correlation
내진유무 is highly overall correlated with 내진설계적용유무 and 3 other fieldsHigh correlation
시도 is highly overall correlated with 시군구High correlation
시설 종류 is highly overall correlated with 관리기관 and 2 other fieldsHigh correlation
평가결과 is highly overall correlated with 관리기관 and 4 other fieldsHigh correlation
내진설계적용유무 is highly overall correlated with 내진성능평가유무 and 1 other fieldsHigh correlation
내진성능평가유무 is highly overall correlated with 관리기관 and 3 other fieldsHigh correlation
관리기관 is highly overall correlated with 시설 종류 and 3 other fieldsHigh correlation
내진보강실시유무 is highly overall correlated with 내진유무High correlation
시도 is highly imbalanced (94.6%)Imbalance
내진보강실시유무 is highly imbalanced (74.5%)Imbalance
평가결과 has 164 (8.2%) missing valuesMissing

Reproduction

Analysis started2023-12-12 09:05:23.322255
Analysis finished2023-12-12 09:05:24.840481
Duration1.52 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

책임기관
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
인천광역시
2009 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인천광역시 2009
100.0%

Length

2023-12-12T18:05:24.917400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:05:25.046790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인천광역시 2009
100.0%

관리기관
Categorical

HIGH CORRELATION 

Distinct34
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
상수도사업본부
297 
인천환경공단
166 
인천교통공사
155 
종합건설본부
143 
강화군
131 
Other values (29)
1117 

Length

Max length15
Median length14
Mean length4.6983574
Min length2

Unique

Unique5 ?
Unique (%)0.2%

Sample

1st row중구
2nd row부평구
3rd row부평구
4th row부평구
5th row인천광역시

Common Values

ValueCountFrequency (%)
상수도사업본부 297
14.8%
인천환경공단 166
 
8.3%
인천교통공사 155
 
7.7%
종합건설본부 143
 
7.1%
강화군 131
 
6.5%
남동구 115
 
5.7%
부평구 108
 
5.4%
서구 103
 
5.1%
계양구 95
 
4.7%
인천시설공단 90
 
4.5%
Other values (24) 606
30.2%

Length

2023-12-12T18:05:25.203264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
상수도사업본부 297
14.8%
인천환경공단 166
 
8.3%
인천교통공사 155
 
7.7%
종합건설본부 143
 
7.1%
강화군 131
 
6.5%
남동구 115
 
5.7%
부평구 108
 
5.4%
서구 103
 
5.1%
계양구 95
 
4.7%
인천시설공단 90
 
4.5%
Other values (24) 606
30.2%

관리기관(하위)
Text

Distinct57
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
2023-12-12T18:05:25.500038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length4.6739671
Min length2

Characters and Unicode

Total characters9390
Distinct characters99
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)0.4%

Sample

1st row중구
2nd row부평구
3rd row부평구
4th row부평구
5th row인천광역시
ValueCountFrequency (%)
상수도사업본부 297
14.8%
인천교통공사 155
 
7.7%
종합건설본부 143
 
7.1%
강화군 131
 
6.5%
남동구 115
 
5.7%
부평구 108
 
5.4%
서구 101
 
5.0%
계양구 95
 
4.7%
인천시설공단 90
 
4.5%
옹진군 85
 
4.2%
Other values (47) 689
34.3%
2023-12-12T18:05:25.960322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 691
 
7.4%
사 680
 
7.2%
부 578
 
6.2%
업 469
 
5.0%
본 441
 
4.7%
인 399
 
4.2%
천 393
 
4.2%
도 374
 
4.0%
수 362
 
3.9%
공 322
 
3.4%
Other values (89) 4681
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9387
> 99.9%
Decimal Number 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 691
 
7.4%
사 680
 
7.2%
부 578
 
6.2%
업 469
 
5.0%
본 441
 
4.7%
인 399
 
4.3%
천 393
 
4.2%
도 374
 
4.0%
수 362
 
3.9%
공 322
 
3.4%
Other values (87) 4678
49.8%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
9 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9387
> 99.9%
Common 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 691
 
7.4%
사 680
 
7.2%
부 578
 
6.2%
업 469
 
5.0%
본 441
 
4.7%
인 399
 
4.3%
천 393
 
4.2%
도 374
 
4.0%
수 362
 
3.9%
공 322
 
3.4%
Other values (87) 4678
49.8%
Common
ValueCountFrequency (%)
1 2
66.7%
9 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9387
> 99.9%
ASCII 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 691
 
7.4%
사 680
 
7.2%
부 578
 
6.2%
업 469
 
5.0%
본 441
 
4.7%
인 399
 
4.3%
천 393
 
4.2%
도 374
 
4.0%
수 362
 
3.9%
공 322
 
3.4%
Other values (87) 4678
49.8%
ASCII
ValueCountFrequency (%)
1 2
66.7%
9 1
33.3%

시설 종류
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
공공건축물
1089 
수도시설
289 
도로시설물
288 
도시철도
151 
공공하수처리시설
133 
Other values (7)
 
59

Length

Max length8
Median length5
Mean length4.9497262
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row공공건축물
2nd row도로시설물
3rd row도로시설물
4th row도로시설물
5th row공공건축물

Common Values

ValueCountFrequency (%)
공공건축물 1089
54.2%
수도시설 289
 
14.4%
도로시설물 288
 
14.3%
도시철도 151
 
7.5%
공공하수처리시설 133
 
6.6%
전력시설 36
 
1.8%
어항시설 6
 
0.3%
병원시설 5
 
0.2%
공동구 5
 
0.2%
방조제 4
 
0.2%
Other values (2) 3
 
0.1%

Length

2023-12-12T18:05:26.165640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
공공건축물 1089
54.2%
수도시설 289
 
14.4%
도로시설물 288
 
14.3%
도시철도 151
 
7.5%
공공하수처리시설 133
 
6.6%
전력시설 36
 
1.8%
어항시설 6
 
0.3%
병원시설 5
 
0.2%
공동구 5
 
0.2%
방조제 4
 
0.2%
Other values (2) 3
 
0.1%

세부시설 구분
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
공공건축물
1089 
수도시설
289 
교량
258 
공공하수처리시설
133 
터널
113 
Other values (11)
127 

Length

Max length8
Median length5
Mean length4.3469388
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row공공건축물
2nd row교량
3rd row교량
4th row교량
5th row공공건축물

Common Values

ValueCountFrequency (%)
공공건축물 1089
54.2%
수도시설 289
 
14.4%
교량 258
 
12.8%
공공하수처리시설 133
 
6.6%
터널 113
 
5.6%
역사 68
 
3.4%
건축물 36
 
1.8%
공동구 5
 
0.2%
외곽시설 4
 
0.2%
일반병원 3
 
0.1%
Other values (6) 11
 
0.5%

Length

2023-12-12T18:05:26.361507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
공공건축물 1089
54.2%
수도시설 289
 
14.4%
교량 258
 
12.8%
공공하수처리시설 133
 
6.6%
터널 113
 
5.6%
역사 68
 
3.4%
건축물 36
 
1.8%
공동구 5
 
0.2%
외곽시설 4
 
0.2%
일반병원 3
 
0.1%
Other values (6) 11
 
0.5%

시설명
Text

Distinct1856
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
2023-12-12T18:05:26.635535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length20
Mean length7.7700348
Min length2

Characters and Unicode

Total characters15610
Distinct characters461
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1818 ?
Unique (%)90.5%

Sample

1st row중구청사(동별관)
2nd row십정과선교
3rd row굴포1교
4th row굴포2교
5th row청라호수도서관
ValueCountFrequency (%)
공촌정수장 28
 
1.3%
부평정수장(3정수시설 21
 
1.0%
부평정수장(1정수시설 17
 
0.8%
부평정수장(부대시설 17
 
0.8%
만수공공하수처리시설 10
 
0.5%
10
 
0.5%
송도1하수처리시설 9
 
0.4%
행정복지센터 9
 
0.4%
관리동 8
 
0.4%
검단공공하수처리시설 7
 
0.3%
Other values (1873) 1947
93.5%
2023-12-12T18:05:27.163078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 552
 
3.5%
1 528
 
3.4%
수 467
 
3.0%
장 457
 
2.9%
2 316
 
2.0%
정 312
 
2.0%
관 297
 
1.9%
지 295
 
1.9%
터 289
 
1.9%
센 276
 
1.8%
Other values (451) 11821
75.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13600
87.1%
Decimal Number 1295
 
8.3%
Close Punctuation 222
 
1.4%
Open Punctuation 222
 
1.4%
Math Symbol 79
 
0.5%
Space Separator 74
 
0.5%
Uppercase Letter 65
 
0.4%
Other Punctuation 26
 
0.2%
Lowercase Letter 18
 
0.1%
Dash Punctuation 9
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 552
 
4.1%
수 467
 
3.4%
장 457
 
3.4%
정 312
 
2.3%
관 297
 
2.2%
지 295
 
2.2%
터 289
 
2.1%
센 276
 
2.0%
교 274
 
2.0%
시 252
 
1.9%
Other values (407) 10129
74.5%
Uppercase Letter
ValueCountFrequency (%)
C 12
18.5%
I 11
16.9%
T 7
10.8%
A 7
10.8%
B 5
7.7%
G 4
 
6.2%
M 3
 
4.6%
S 3
 
4.6%
X 2
 
3.1%
N 2
 
3.1%
Other values (6) 9
13.8%
Decimal Number
ValueCountFrequency (%)
1 528
40.8%
2 316
24.4%
3 114
 
8.8%
0 87
 
6.7%
9 78
 
6.0%
4 47
 
3.6%
7 43
 
3.3%
5 33
 
2.5%
6 32
 
2.5%
8 17
 
1.3%
Lowercase Letter
ValueCountFrequency (%)
w 3
16.7%
e 3
16.7%
r 3
16.7%
o 3
16.7%
j 1
 
5.6%
c 1
 
5.6%
g 1
 
5.6%
p 1
 
5.6%
l 1
 
5.6%
t 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 15
57.7%
. 8
30.8%
/ 3
 
11.5%
Close Punctuation
ValueCountFrequency (%)
) 222
100.0%
Open Punctuation
ValueCountFrequency (%)
( 222
100.0%
Math Symbol
ValueCountFrequency (%)
~ 79
100.0%
Space Separator
ValueCountFrequency (%)
74
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13598
87.1%
Common 1927
 
12.3%
Latin 83
 
0.5%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 552
 
4.1%
수 467
 
3.4%
장 457
 
3.4%
정 312
 
2.3%
관 297
 
2.2%
지 295
 
2.2%
터 289
 
2.1%
센 276
 
2.0%
교 274
 
2.0%
시 252
 
1.9%
Other values (406) 10127
74.5%
Latin
ValueCountFrequency (%)
C 12
14.5%
I 11
13.3%
T 7
 
8.4%
A 7
 
8.4%
B 5
 
6.0%
G 4
 
4.8%
w 3
 
3.6%
M 3
 
3.6%
e 3
 
3.6%
r 3
 
3.6%
Other values (16) 25
30.1%
Common
ValueCountFrequency (%)
1 528
27.4%
2 316
16.4%
) 222
11.5%
( 222
11.5%
3 114
 
5.9%
0 87
 
4.5%
~ 79
 
4.1%
9 78
 
4.0%
74
 
3.8%
4 47
 
2.4%
Other values (8) 160
 
8.3%
Han
ValueCountFrequency (%)
現 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13598
87.1%
ASCII 2010
 
12.9%
CJK 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 552
 
4.1%
수 467
 
3.4%
장 457
 
3.4%
정 312
 
2.3%
관 297
 
2.2%
지 295
 
2.2%
터 289
 
2.1%
센 276
 
2.0%
교 274
 
2.0%
시 252
 
1.9%
Other values (406) 10127
74.5%
ASCII
ValueCountFrequency (%)
1 528
26.3%
2 316
15.7%
) 222
11.0%
( 222
11.0%
3 114
 
5.7%
0 87
 
4.3%
~ 79
 
3.9%
9 78
 
3.9%
74
 
3.7%
4 47
 
2.3%
Other values (34) 243
12.1%
CJK
ValueCountFrequency (%)
現 2
100.0%

시도
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
인천광역시
1985 
경기도
 
14
서울특별시
 
9
대구광역시
 
1

Length

Max length5
Median length5
Mean length4.9860627
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
인천광역시 1985
98.8%
경기도 14
 
0.7%
서울특별시 9
 
0.4%
대구광역시 1
 
< 0.1%

Length

2023-12-12T18:05:27.345028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:05:27.484753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인천광역시 1985
98.8%
경기도 14
 
0.7%
서울특별시 9
 
0.4%
대구광역시 1
 
< 0.1%

시군구
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
서구
360 
남동구
284 
연수구
252 
부평구
236 
강화군
201 
Other values (10)
676 

Length

Max length4
Median length3
Mean length2.7969139
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row중구
2nd row부평구
3rd row부평구
4th row부평구
5th row서구

Common Values

ValueCountFrequency (%)
서구 360
17.9%
남동구 284
14.1%
연수구 252
12.5%
부평구 236
11.7%
강화군 201
10.0%
미추홀구 166
8.3%
계양구 154
7.7%
중구 149
7.4%
옹진군 115
 
5.7%
동구 68
 
3.4%
Other values (5) 24
 
1.2%

Length

2023-12-12T18:05:27.667045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서구 360
17.9%
남동구 284
14.1%
연수구 252
12.5%
부평구 236
11.7%
강화군 201
10.0%
미추홀구 166
8.3%
계양구 154
7.7%
중구 149
7.4%
옹진군 115
 
5.7%
동구 68
 
3.4%
Other values (5) 24
 
1.2%

내진설계적용유무
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
False
1023 
True
986 
ValueCountFrequency (%)
False 1023
50.9%
True 986
49.1%
2023-12-12T18:05:27.833844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

내진성능평가유무
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
False
1352 
True
657 
ValueCountFrequency (%)
False 1352
67.3%
True 657
32.7%
2023-12-12T18:05:27.971160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

평가결과
Boolean

HIGH CORRELATION  MISSING 

Distinct2
Distinct (%)0.1%
Missing164
Missing (%)8.2%
Memory size4.1 KiB
False
1306 
True
539 
(Missing)
164 
ValueCountFrequency (%)
False 1306
65.0%
True 539
26.8%
(Missing) 164
 
8.2%
2023-12-12T18:05:28.084937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

내진보강실시유무
Boolean

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
False
1923 
True
 
86
ValueCountFrequency (%)
False 1923
95.7%
True 86
 
4.3%
2023-12-12T18:05:28.217861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

내진유무
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
내진설계 적용
986 
내진보강 불필요 (내진성능평가)
495 
내진성능평가 미수행
421 
내진보강 완료
 
63
내진보강 미수행 (내진성능평가)
 
44

Length

Max length17
Median length7
Mean length10.311598
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row내진보강 미수행 (내진성능평가)
2nd row내진성능평가 미수행
3rd row내진성능평가 미수행
4th row내진성능평가 미수행
5th row내진설계 적용

Common Values

ValueCountFrequency (%)
내진설계 적용 986
49.1%
내진보강 불필요 (내진성능평가) 495
24.6%
내진성능평가 미수행 421
21.0%
내진보강 완료 63
 
3.1%
내진보강 미수행 (내진성능평가) 44
 
2.2%

Length

2023-12-12T18:05:28.363927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:05:28.514010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
내진설계 986
21.6%
적용 986
21.6%
내진성능평가 960
21.1%
내진보강 602
13.2%
불필요 495
10.9%
미수행 465
10.2%
완료 63
 
1.4%

Correlations

2023-12-12T18:05:28.638633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리기관관리기관(하위)시설 종류세부시설 구분시도시군구내진설계적용유무내진성능평가유무평가결과내진보강실시유무내진유무
관리기관1.0001.0000.8880.8580.2520.9270.5240.6710.7440.3390.696
관리기관(하위)1.0001.0000.9000.8700.1510.9460.5480.6930.7610.3950.745
시설 종류0.8880.9001.0001.0000.3550.4270.3930.5820.6850.2500.506
세부시설 구분0.8580.8701.0001.0000.3170.4050.3850.5730.6760.2670.537
시도0.2520.1510.3550.3171.0001.0000.1400.1570.1710.0000.086
시군구0.9270.9460.4270.4051.0001.0000.2800.1780.2140.1160.366
내진설계적용유무0.5240.5480.3930.3850.1400.2801.0000.7750.7010.1941.000
내진성능평가유무0.6710.6930.5820.5730.1570.1780.7751.0000.9770.3790.809
평가결과0.7440.7610.6850.6760.1710.2140.7010.9771.0000.1520.817
내진보강실시유무0.3390.3950.2500.2670.0000.1160.1940.3790.1521.0000.716
내진유무0.6960.7450.5060.5370.0860.3661.0000.8090.8170.7161.000
2023-12-12T18:05:28.811921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
내진보강실시유무세부시설 구분관리기관시군구내진유무시도시설 종류평가결과내진설계적용유무내진성능평가유무
내진보강실시유무1.0000.2090.2680.1060.8500.0000.1930.0970.1250.247
세부시설 구분0.2091.0000.4350.1470.3080.1530.9820.5380.3020.452
관리기관0.2680.4351.0000.5900.4090.1310.5360.6040.4160.539
시군구0.1060.1470.5901.0000.1640.9970.1710.1670.2540.162
내진유무0.8500.3080.4090.1641.0000.0700.3090.9430.9990.936
시도0.0000.1530.1310.9970.0701.0000.1700.1140.0930.104
시설 종류0.1930.9820.5360.1710.3090.1701.0000.5390.3050.455
평가결과0.0970.5380.6040.1670.9430.1140.5391.0000.4940.863
내진설계적용유무0.1250.3020.4160.2540.9990.0930.3050.4941.0000.564
내진성능평가유무0.2470.4520.5390.1620.9360.1040.4550.8630.5641.000
2023-12-12T18:05:28.964962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리기관시설 종류세부시설 구분시도시군구내진설계적용유무내진성능평가유무평가결과내진보강실시유무내진유무
관리기관1.0000.5360.4350.1310.5900.4160.5390.6040.2680.409
시설 종류0.5361.0000.9820.1700.1710.3050.4550.5390.1930.309
세부시설 구분0.4350.9821.0000.1530.1470.3020.4520.5380.2090.308
시도0.1310.1700.1531.0000.9970.0930.1040.1140.0000.070
시군구0.5900.1710.1470.9971.0000.2540.1620.1670.1060.164
내진설계적용유무0.4160.3050.3020.0930.2541.0000.5640.4940.1250.999
내진성능평가유무0.5390.4550.4520.1040.1620.5641.0000.8630.2470.936
평가결과0.6040.5390.5380.1140.1670.4940.8631.0000.0970.943
내진보강실시유무0.2680.1930.2090.0000.1060.1250.2470.0971.0000.850
내진유무0.4090.3090.3080.0700.1640.9990.9360.9430.8501.000

Missing values

2023-12-12T18:05:24.551674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:05:24.759167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

책임기관관리기관관리기관(하위)시설 종류세부시설 구분시설명시도시군구내진설계적용유무내진성능평가유무평가결과내진보강실시유무내진유무
0인천광역시중구중구공공건축물공공건축물중구청사(동별관)인천광역시중구NYNN내진보강 미수행 (내진성능평가)
1인천광역시부평구부평구도로시설물교량십정과선교인천광역시부평구NNNN내진성능평가 미수행
2인천광역시부평구부평구도로시설물교량굴포1교인천광역시부평구NNNN내진성능평가 미수행
3인천광역시부평구부평구도로시설물교량굴포2교인천광역시부평구NNNN내진성능평가 미수행
4인천광역시인천광역시인천광역시공공건축물공공건축물청라호수도서관인천광역시서구YNNN내진설계 적용
5인천광역시인천교통공사인천교통공사도시철도역사2212가정중앙시장역인천광역시서구YNNN내진설계 적용
6인천광역시남동구남동구공공건축물공공건축물늘푸른어린이집인천광역시남동구NNNN내진성능평가 미수행
7인천광역시남동구남동구공공건축물공공건축물푸른숲어린이집인천광역시남동구NNNN내진성능평가 미수행
8인천광역시상수도사업본부상수도사업본부수도시설수도시설통진가압장경기도김포시NYYN내진보강 불필요 (내진성능평가)
9인천광역시인천교통공사인천교통공사도시철도터널2101본선시점~검단오류인천광역시서구YNNN내진설계 적용
책임기관관리기관관리기관(하위)시설 종류세부시설 구분시설명시도시군구내진설계적용유무내진성능평가유무평가결과내진보강실시유무내진유무
1999인천광역시종합건설본부종합건설본부도로시설물교량문학IC3교인천광역시미추홀구YN<NA>N내진설계 적용
2000인천광역시상수도사업본부상수도사업본부수도시설수도시설운북2가압장인천광역시중구NYYN내진보강 불필요 (내진성능평가)
2001인천광역시종합건설본부종합건설본부도로시설물교량문학IC2교인천광역시미추홀구YYNN내진설계 적용
2002인천광역시인천도시공사인천도시공사도로시설물터널계양방향인천광역시서구YN<NA>N내진설계 적용
2003인천광역시인천시설공단인천시설공단도로시설물교량문점교인천광역시서구YN<NA>N내진설계 적용
2004인천광역시인천시설공단인천시설공단도로시설물교량문점1교인천광역시서구YN<NA>N내진설계 적용
2005인천광역시인천시설공단인천시설공단도로시설물교량원창jct교인천광역시서구YN<NA>N내진설계 적용
2006인천광역시상수도사업본부상수도사업본부수도시설수도시설운북3가압장인천광역시중구NYYN내진보강 불필요 (내진성능평가)
2007인천광역시인천시설공단인천시설공단도로시설물교량공촌4교인천광역시서구YN<NA>N내진설계 적용
2008인천광역시상수도사업본부상수도사업본부수도시설수도시설운서2가압장대구광역시수성구NYYN내진보강 불필요 (내진성능평가)

Duplicate rows

Most frequently occurring

책임기관관리기관관리기관(하위)시설 종류세부시설 구분시설명시도시군구내진설계적용유무내진성능평가유무평가결과내진보강실시유무내진유무# duplicates
4인천광역시상수도사업본부상수도사업본부수도시설수도시설공촌정수장인천광역시서구NYYN내진보강 불필요 (내진성능평가)18
13인천광역시상수도사업본부상수도사업본부수도시설수도시설부평정수장(부대시설)인천광역시부평구NYYN내진보강 불필요 (내진성능평가)16
8인천광역시상수도사업본부상수도사업본부수도시설수도시설부평정수장(1정수시설)인천광역시부평구NYYN내진보강 불필요 (내진성능평가)11
11인천광역시상수도사업본부상수도사업본부수도시설수도시설부평정수장(3정수시설)인천광역시부평구NYYN내진보강 불필요 (내진성능평가)11
5인천광역시상수도사업본부상수도사업본부수도시설수도시설공촌정수장인천광역시서구YN<NA>N내진설계 적용10
18인천광역시인천광역시인천광역시공공하수처리시설공공하수처리시설만수공공하수처리시설인천광역시남동구YNNN내진설계 적용10
19인천광역시인천광역시인천광역시공공하수처리시설공공하수처리시설송도1하수처리시설인천광역시연수구YNNN내진설계 적용9
17인천광역시인천광역시인천광역시공공하수처리시설공공하수처리시설검단공공하수처리시설인천광역시서구YNNN내진설계 적용7
9인천광역시상수도사업본부상수도사업본부수도시설수도시설부평정수장(1정수시설)인천광역시부평구YNNN내진설계 적용6
12인천광역시상수도사업본부상수도사업본부수도시설수도시설부평정수장(3정수시설)인천광역시부평구YNNN내진설계 적용6