Overview

Dataset statistics

Number of variables14
Number of observations10000
Missing cells76
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 MiB
Average record size in memory120.0 B

Variable types

Text8
Categorical6

Dataset

Description전라남도 소방용수시설 ( 설치연도, 소방서, 수리종별, 수리번호 , 주소, 위도, 경도, 표지판 등 ) 현황에 대한 정보를 제공하고 있습니다.
Author전라남도
URLhttps://www.data.go.kr/data/15100265/fileData.do

Alerts

시_군 is highly overall correlated with 소방서High correlation
소방서 is highly overall correlated with 시_군High correlation
사용 가능여부 is highly overall correlated with 보호틀High correlation
보호틀 is highly overall correlated with 사용 가능여부High correlation
수리종별 is highly imbalanced (65.3%)Imbalance
배관구경_밀리미터 is highly imbalanced (63.2%)Imbalance
사용 가능여부 is highly imbalanced (82.0%)Imbalance
보호틀 is highly imbalanced (63.0%)Imbalance
수리번호_신 has unique valuesUnique

Reproduction

Analysis started2023-12-11 22:54:42.178746
Analysis finished2023-12-11 22:54:44.832198
Duration2.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

설치연도
Text

Distinct67
Distinct (%)0.7%
Missing6
Missing (%)0.1%
Memory size156.2 KiB
2023-12-12T07:54:44.981492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length4
Mean length4.001701
Min length2

Characters and Unicode

Total characters39993
Distinct characters33
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)0.1%

Sample

1st row2022
2nd row2021
3rd row1998
4th row2004
5th row2013
ValueCountFrequency (%)
2019 687
 
6.9%
1998 630
 
6.3%
2015 611
 
6.1%
2010 535
 
5.4%
2012 448
 
4.5%
2014 447
 
4.5%
2017 404
 
4.0%
2008 380
 
3.8%
2013 365
 
3.7%
2011 348
 
3.5%
Other values (58) 5142
51.4%
2023-12-12T07:54:45.449794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 11339
28.4%
2 9527
23.8%
1 7539
18.9%
9 5067
12.7%
8 1858
 
4.6%
5 1234
 
3.1%
7 947
 
2.4%
3 792
 
2.0%
4 717
 
1.8%
6 655
 
1.6%
Other values (23) 318
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 39675
99.2%
Other Letter 305
 
0.8%
Open Punctuation 5
 
< 0.1%
Close Punctuation 5
 
< 0.1%
Space Separator 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
불 64
21.0%
가 64
21.0%
파 38
12.5%
악 38
12.5%
확 26
8.5%
인 26
8.5%
상 15
 
4.9%
미 15
 
4.9%
발 3
 
1.0%
견 3
 
1.0%
Other values (10) 13
 
4.3%
Decimal Number
ValueCountFrequency (%)
0 11339
28.6%
2 9527
24.0%
1 7539
19.0%
9 5067
12.8%
8 1858
 
4.7%
5 1234
 
3.1%
7 947
 
2.4%
3 792
 
2.0%
4 717
 
1.8%
6 655
 
1.7%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 39688
99.2%
Hangul 305
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
불 64
21.0%
가 64
21.0%
파 38
12.5%
악 38
12.5%
확 26
8.5%
인 26
8.5%
상 15
 
4.9%
미 15
 
4.9%
발 3
 
1.0%
견 3
 
1.0%
Other values (10) 13
 
4.3%
Common
ValueCountFrequency (%)
0 11339
28.6%
2 9527
24.0%
1 7539
19.0%
9 5067
12.8%
8 1858
 
4.7%
5 1234
 
3.1%
7 947
 
2.4%
3 792
 
2.0%
4 717
 
1.8%
6 655
 
1.7%
Other values (3) 13
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 39688
99.2%
Hangul 305
 
0.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11339
28.6%
2 9527
24.0%
1 7539
19.0%
9 5067
12.8%
8 1858
 
4.7%
5 1234
 
3.1%
7 947
 
2.4%
3 792
 
2.0%
4 717
 
1.8%
6 655
 
1.7%
Other values (3) 13
 
< 0.1%
Hangul
ValueCountFrequency (%)
불 64
21.0%
가 64
21.0%
파 38
12.5%
악 38
12.5%
확 26
8.5%
인 26
8.5%
상 15
 
4.9%
미 15
 
4.9%
발 3
 
1.0%
견 3
 
1.0%
Other values (10) 13
 
4.3%

소방서
Categorical

HIGH CORRELATION 

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
여수소방서
1015 
순천소방서
924 
영암소방서
840 
목포소방서
796 
담양소방서
661 
Other values (17)
5764 

Length

Max length6
Median length5
Mean length4.9923
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row장성소방서
2nd row강진소방서
3rd row영암소방서
4th row목포소방서
5th row완도소방서

Common Values

ValueCountFrequency (%)
여수소방서 1015
 
10.2%
순천소방서 924
 
9.2%
영암소방서 840
 
8.4%
목포소방서 796
 
8.0%
담양소방서 661
 
6.6%
나주소방서 585
 
5.9%
광양소방서 549
 
5.5%
화순소방서 514
 
5.1%
해남소방서 461
 
4.6%
장흥소방서 425
 
4.2%
Other values (12) 3230
32.3%

Length

2023-12-12T07:54:45.625373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
여수소방서 1015
 
10.2%
순천소방서 925
 
9.2%
영암소방서 840
 
8.4%
목포소방서 796
 
8.0%
담양소방서 661
 
6.6%
나주소방서 585
 
5.9%
광양소방서 549
 
5.5%
화순소방서 514
 
5.1%
해남소방서 461
 
4.6%
장흥소방서 425
 
4.2%
Other values (11) 3229
32.3%

안전센터
Text

Distinct101
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T07:54:45.945330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.9533
Min length2

Characters and Unicode

Total characters89533
Distinct characters96
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

Unique29 ?
Unique (%)0.3%

Sample

1st row장성119안전센터
2nd row강진119안전센터
3rd row삼호119안전센터
4th row호남119안전센터
5th row완도119안전센터
ValueCountFrequency (%)
삼호119안전센터 597
 
6.0%
해남119안전센터 377
 
3.8%
담양119안전센터 348
 
3.5%
장흥119안전센터 290
 
2.9%
함평119안전센터 288
 
2.9%
완도119안전센터 269
 
2.7%
신안119안전센터 257
 
2.6%
저전119안전센터 254
 
2.5%
학동119안전센터 247
 
2.5%
장성119안전센터 244
 
2.4%
Other values (91) 6829
68.3%
2023-12-12T07:54:46.554396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 19681
22.0%
안 10204
11.4%
전 10122
11.3%
터 9840
11.0%
9 9821
11.0%
센 9813
11.0%
호 918
 
1.0%
남 894
 
1.0%
삼 860
 
1.0%
양 671
 
0.7%
Other values (86) 16709
18.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 59971
67.0%
Decimal Number 29562
33.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
안 10204
17.0%
전 10122
16.9%
터 9840
16.4%
센 9813
16.4%
호 918
 
1.5%
남 894
 
1.5%
삼 860
 
1.4%
양 671
 
1.1%
도 627
 
1.0%
산 534
 
0.9%
Other values (76) 15488
25.8%
Decimal Number
ValueCountFrequency (%)
1 19681
66.6%
9 9821
33.2%
2 37
 
0.1%
0 8
 
< 0.1%
3 5
 
< 0.1%
4 3
 
< 0.1%
6 2
 
< 0.1%
5 2
 
< 0.1%
7 2
 
< 0.1%
8 1
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 59971
67.0%
Common 29562
33.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 10204
17.0%
전 10122
16.9%
터 9840
16.4%
센 9813
16.4%
호 918
 
1.5%
남 894
 
1.5%
삼 860
 
1.4%
양 671
 
1.1%
도 627
 
1.0%
산 534
 
0.9%
Other values (76) 15488
25.8%
Common
ValueCountFrequency (%)
1 19681
66.6%
9 9821
33.2%
2 37
 
0.1%
0 8
 
< 0.1%
3 5
 
< 0.1%
4 3
 
< 0.1%
6 2
 
< 0.1%
5 2
 
< 0.1%
7 2
 
< 0.1%
8 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 59971
67.0%
ASCII 29562
33.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 19681
66.6%
9 9821
33.2%
2 37
 
0.1%
0 8
 
< 0.1%
3 5
 
< 0.1%
4 3
 
< 0.1%
6 2
 
< 0.1%
5 2
 
< 0.1%
7 2
 
< 0.1%
8 1
 
< 0.1%
Hangul
ValueCountFrequency (%)
안 10204
17.0%
전 10122
16.9%
터 9840
16.4%
센 9813
16.4%
호 918
 
1.5%
남 894
 
1.5%
삼 860
 
1.4%
양 671
 
1.1%
도 627
 
1.0%
산 534
 
0.9%
Other values (76) 15488
25.8%

수리종별
Categorical

IMBALANCE 

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
지상식
7761 
지상식소화전
1381 
지하식소화전
 
434
지하식
 
147
지하식(일반)
 
139
Other values (5)
 
138

Length

Max length9
Median length3
Mean length3.6066
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row지상식
2nd row지상식
3rd row지하식소화전
4th row지상식
5th row지상식

Common Values

ValueCountFrequency (%)
지상식 7761
77.6%
지상식소화전 1381
 
13.8%
지하식소화전 434
 
4.3%
지하식 147
 
1.5%
지하식(일반) 139
 
1.4%
저수조 104
 
1.0%
급수탑 19
 
0.2%
지상식조화전 7
 
0.1%
지상식(호스릴) 4
 
< 0.1%
지하식(승하강식) 4
 
< 0.1%

Length

2023-12-12T07:54:46.981874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T07:54:47.140542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지상식 7761
77.6%
지상식소화전 1381
 
13.8%
지하식소화전 434
 
4.3%
지하식 147
 
1.5%
지하식(일반 139
 
1.4%
저수조 104
 
1.0%
급수탑 19
 
0.2%
지상식조화전 7
 
0.1%
지상식(호스릴 4
 
< 0.1%
지하식(승하강식 4
 
< 0.1%

수리번호_신
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T07:54:47.451799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length11
Mean length10.6169
Min length7

Characters and Unicode

Total characters106169
Distinct characters132
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10000 ?
Unique (%)100.0%

Sample

1st rows-가-장성-296호
2nd rowM-가-강진-38호
3rd rowO-나-삼호-103호
4th rowA-가-호남-601호
5th rowT-가-완도-291호
ValueCountFrequency (%)
e-가-광양 13
 
0.1%
b-가-연등 6
 
0.1%
저수조 4
 
< 0.1%
c-가 3
 
< 0.1%
s-가-장성-296호 1
 
< 0.1%
l-가-장흥-21호 1
 
< 0.1%
d-가-경현-072호 1
 
< 0.1%
o-가-영암-145호 1
 
< 0.1%
r-가-영광-42호 1
 
< 0.1%
c-가-저전-284호 1
 
< 0.1%
Other values (9995) 9995
99.7%
2023-12-12T07:54:47.906713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 30005
28.3%
호 9582
 
9.0%
가 9252
 
8.7%
1 4977
 
4.7%
2 3475
 
3.3%
3 2857
 
2.7%
0 2674
 
2.5%
4 2567
 
2.4%
5 2286
 
2.2%
6 2239
 
2.1%
Other values (122) 36255
34.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 39203
36.9%
Dash Punctuation 30005
28.3%
Decimal Number 26942
25.4%
Uppercase Letter 9882
 
9.3%
Space Separator 85
 
0.1%
Lowercase Letter 42
 
< 0.1%
Open Punctuation 5
 
< 0.1%
Close Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
호 9582
24.4%
가 9252
23.6%
남 894
 
2.3%
나 886
 
2.3%
삼 860
 
2.2%
양 671
 
1.7%
도 628
 
1.6%
장 534
 
1.4%
산 534
 
1.4%
성 525
 
1.3%
Other values (82) 14837
37.8%
Uppercase Letter
ValueCountFrequency (%)
B 1015
 
10.3%
C 910
 
9.2%
O 840
 
8.5%
A 799
 
8.1%
D 585
 
5.9%
E 575
 
5.8%
K 504
 
5.1%
N 461
 
4.7%
L 425
 
4.3%
Q 423
 
4.3%
Other values (11) 3345
33.8%
Decimal Number
ValueCountFrequency (%)
1 4977
18.5%
2 3475
12.9%
3 2857
10.6%
0 2674
9.9%
4 2567
9.5%
5 2286
8.5%
6 2239
8.3%
7 2077
7.7%
8 1908
 
7.1%
9 1882
 
7.0%
Lowercase Letter
ValueCountFrequency (%)
c 15
35.7%
k 8
19.0%
s 8
19.0%
p 6
 
14.3%
l 5
 
11.9%
Dash Punctuation
ValueCountFrequency (%)
- 30005
100.0%
Space Separator
ValueCountFrequency (%)
85
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 57042
53.7%
Hangul 39203
36.9%
Latin 9924
 
9.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
호 9582
24.4%
가 9252
23.6%
남 894
 
2.3%
나 886
 
2.3%
삼 860
 
2.2%
양 671
 
1.7%
도 628
 
1.6%
장 534
 
1.4%
산 534
 
1.4%
성 525
 
1.3%
Other values (82) 14837
37.8%
Latin
ValueCountFrequency (%)
B 1015
 
10.2%
C 910
 
9.2%
O 840
 
8.5%
A 799
 
8.1%
D 585
 
5.9%
E 575
 
5.8%
K 504
 
5.1%
N 461
 
4.6%
L 425
 
4.3%
Q 423
 
4.3%
Other values (16) 3387
34.1%
Common
ValueCountFrequency (%)
- 30005
52.6%
1 4977
 
8.7%
2 3475
 
6.1%
3 2857
 
5.0%
0 2674
 
4.7%
4 2567
 
4.5%
5 2286
 
4.0%
6 2239
 
3.9%
7 2077
 
3.6%
8 1908
 
3.3%
Other values (4) 1977
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 66966
63.1%
Hangul 39203
36.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 30005
44.8%
1 4977
 
7.4%
2 3475
 
5.2%
3 2857
 
4.3%
0 2674
 
4.0%
4 2567
 
3.8%
5 2286
 
3.4%
6 2239
 
3.3%
7 2077
 
3.1%
8 1908
 
2.8%
Other values (30) 11901
 
17.8%
Hangul
ValueCountFrequency (%)
호 9582
24.4%
가 9252
23.6%
남 894
 
2.3%
나 886
 
2.3%
삼 860
 
2.2%
양 671
 
1.7%
도 628
 
1.6%
장 534
 
1.4%
산 534
 
1.4%
성 525
 
1.3%
Other values (82) 14837
37.8%

시_군
Categorical

HIGH CORRELATION 

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
여수시
1015 
영암군
840 
목포시
796 
순천시
783 
나주시
 
585
Other values (17)
5981 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row장성군
2nd row강진군
3rd row영암군
4th row목포시
5th row완도군

Common Values

ValueCountFrequency (%)
여수시 1015
 
10.2%
영암군 840
 
8.4%
목포시 796
 
8.0%
순천시 783
 
7.8%
나주시 585
 
5.9%
광양시 575
 
5.8%
화순군 514
 
5.1%
해남군 461
 
4.6%
장흥군 425
 
4.2%
함평군 423
 
4.2%
Other values (12) 3583
35.8%

Length

2023-12-12T07:54:48.086265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
여수시 1015
 
10.2%
영암군 840
 
8.4%
목포시 796
 
8.0%
순천시 783
 
7.8%
나주시 585
 
5.9%
광양시 575
 
5.8%
화순군 514
 
5.1%
해남군 461
 
4.6%
장흥군 425
 
4.2%
함평군 423
 
4.2%
Other values (12) 3583
35.8%

지번주소
Text

Distinct9457
Distinct (%)94.7%
Missing16
Missing (%)0.2%
Memory size156.2 KiB
2023-12-12T07:54:48.444101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length26
Mean length17.957732
Min length1

Characters and Unicode

Total characters179290
Distinct characters334
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9135 ?
Unique (%)91.5%

Sample

1st row전라남도 장성군 장성읍 야은리 213-4
2nd row전라남도 강진군 강진읍 평동리 276-2
3rd row전라남도 영암군 삼호읍 나불리 331-8
4th row목포시 용당동 1125-4
5th row완도군 신지면 월양리 817-1
ValueCountFrequency (%)
전라남도 6043
 
14.6%
여수시 913
 
2.2%
목포시 796
 
1.9%
영암군 745
 
1.8%
순천시 738
 
1.8%
나주시 580
 
1.4%
광양시 572
 
1.4%
삼호읍 513
 
1.2%
장흥군 424
 
1.0%
장성군 396
 
1.0%
Other values (8460) 29780
71.8%
2023-12-12T07:54:49.027262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32297
 
18.0%
1 8745
 
4.9%
도 7429
 
4.1%
리 7272
 
4.1%
- 6949
 
3.9%
남 6777
 
3.8%
전 6502
 
3.6%
라 6111
 
3.4%
군 5074
 
2.8%
2 4590
 
2.6%
Other values (324) 87544
48.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 100816
56.2%
Decimal Number 39199
 
21.9%
Space Separator 32297
 
18.0%
Dash Punctuation 6950
 
3.9%
Close Punctuation 9
 
< 0.1%
Other Punctuation 8
 
< 0.1%
Open Punctuation 5
 
< 0.1%
Lowercase Letter 4
 
< 0.1%
Other Symbol 1
 
< 0.1%
Format 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 7429
 
7.4%
리 7272
 
7.2%
남 6777
 
6.7%
전 6502
 
6.4%
라 6111
 
6.1%
군 5074
 
5.0%
면 4244
 
4.2%
시 3665
 
3.6%
동 3429
 
3.4%
읍 2947
 
2.9%
Other values (304) 47366
47.0%
Decimal Number
ValueCountFrequency (%)
1 8745
22.3%
2 4590
11.7%
3 4119
10.5%
4 3476
 
8.9%
6 3471
 
8.9%
5 3267
 
8.3%
7 3194
 
8.1%
8 2928
 
7.5%
0 2765
 
7.1%
9 2644
 
6.7%
Dash Punctuation
ValueCountFrequency (%)
- 6949
> 99.9%
― 1
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
. 7
87.5%
, 1
 
12.5%
Space Separator
ValueCountFrequency (%)
32297
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Lowercase Letter
ValueCountFrequency (%)
x 4
100.0%
Other Symbol
ValueCountFrequency (%)
─ 1
100.0%
Format
ValueCountFrequency (%)
­ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 100816
56.2%
Common 78470
43.8%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 7429
 
7.4%
리 7272
 
7.2%
남 6777
 
6.7%
전 6502
 
6.4%
라 6111
 
6.1%
군 5074
 
5.0%
면 4244
 
4.2%
시 3665
 
3.6%
동 3429
 
3.4%
읍 2947
 
2.9%
Other values (304) 47366
47.0%
Common
ValueCountFrequency (%)
32297
41.2%
1 8745
 
11.1%
- 6949
 
8.9%
2 4590
 
5.8%
3 4119
 
5.2%
4 3476
 
4.4%
6 3471
 
4.4%
5 3267
 
4.2%
7 3194
 
4.1%
8 2928
 
3.7%
Other values (9) 5434
 
6.9%
Latin
ValueCountFrequency (%)
x 4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 100816
56.2%
ASCII 78471
43.8%
Box Drawing 1
 
< 0.1%
None 1
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
32297
41.2%
1 8745
 
11.1%
- 6949
 
8.9%
2 4590
 
5.8%
3 4119
 
5.2%
4 3476
 
4.4%
6 3471
 
4.4%
5 3267
 
4.2%
7 3194
 
4.1%
8 2928
 
3.7%
Other values (7) 5435
 
6.9%
Hangul
ValueCountFrequency (%)
도 7429
 
7.4%
리 7272
 
7.2%
남 6777
 
6.7%
전 6502
 
6.4%
라 6111
 
6.1%
군 5074
 
5.0%
면 4244
 
4.2%
시 3665
 
3.6%
동 3429
 
3.4%
읍 2947
 
2.9%
Other values (304) 47366
47.0%
Box Drawing
ValueCountFrequency (%)
─ 1
100.0%
None
ValueCountFrequency (%)
­ 1
100.0%
Punctuation
ValueCountFrequency (%)
― 1
100.0%

도로명주소
Text

Distinct9422
Distinct (%)94.3%
Missing5
Missing (%)< 0.1%
Memory size156.2 KiB
2023-12-12T07:54:49.391732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length48
Mean length18.413907
Min length1

Characters and Unicode

Total characters184047
Distinct characters499
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9102 ?
Unique (%)91.1%

Sample

1st row전라남도 장성군 장성읍 야은1길 33
2nd row전라남도 강진군 강진읍 중앙로 10
3rd row전라남도 영암군 삼호읍 대불산단 3로 171
4th row전라남도 목포시 산정로186번길 28
5th row전라남도 완도군 신지면 월부1길 5-1
ValueCountFrequency (%)
전라남도 8303
 
19.3%
여수시 974
 
2.3%
영암군 840
 
2.0%
목포시 782
 
1.8%
순천시 777
 
1.8%
나주시 558
 
1.3%
광양시 542
 
1.3%
삼호읍 513
 
1.2%
해남군 460
 
1.1%
장흥군 419
 
1.0%
Other values (8560) 28832
67.1%
2023-12-12T07:54:49.929458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
33509
 
18.2%
도 9836
 
5.3%
남 9484
 
5.2%
전 8611
 
4.7%
라 8372
 
4.5%
길 6634
 
3.6%
1 6420
 
3.5%
군 5796
 
3.1%
2 4444
 
2.4%
로 3910
 
2.1%
Other values (489) 87031
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 119478
64.9%
Space Separator 33510
 
18.2%
Decimal Number 28159
 
15.3%
Dash Punctuation 2507
 
1.4%
Open Punctuation 184
 
0.1%
Close Punctuation 183
 
0.1%
Other Punctuation 13
 
< 0.1%
Uppercase Letter 7
 
< 0.1%
Lowercase Letter 5
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 9836
 
8.2%
남 9484
 
7.9%
전 8611
 
7.2%
라 8372
 
7.0%
길 6634
 
5.6%
군 5796
 
4.9%
로 3910
 
3.3%
면 3895
 
3.3%
시 3801
 
3.2%
읍 2936
 
2.5%
Other values (461) 56203
47.0%
Decimal Number
ValueCountFrequency (%)
1 6420
22.8%
2 4444
15.8%
3 3227
11.5%
4 2540
 
9.0%
5 2453
 
8.7%
6 2168
 
7.7%
7 1872
 
6.6%
0 1699
 
6.0%
8 1691
 
6.0%
9 1645
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
G 2
28.6%
M 1
14.3%
B 1
14.3%
R 1
14.3%
N 1
14.3%
E 1
14.3%
Other Punctuation
ValueCountFrequency (%)
/ 4
30.8%
: 3
23.1%
@ 3
23.1%
, 3
23.1%
Space Separator
ValueCountFrequency (%)
33509
> 99.9%
　 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
m 3
60.0%
x 2
40.0%
Dash Punctuation
ValueCountFrequency (%)
- 2507
100.0%
Open Punctuation
ValueCountFrequency (%)
( 184
100.0%
Close Punctuation
ValueCountFrequency (%)
) 183
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 119478
64.9%
Common 64557
35.1%
Latin 12
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 9836
 
8.2%
남 9484
 
7.9%
전 8611
 
7.2%
라 8372
 
7.0%
길 6634
 
5.6%
군 5796
 
4.9%
로 3910
 
3.3%
면 3895
 
3.3%
시 3801
 
3.2%
읍 2936
 
2.5%
Other values (461) 56203
47.0%
Common
ValueCountFrequency (%)
33509
51.9%
1 6420
 
9.9%
2 4444
 
6.9%
3 3227
 
5.0%
4 2540
 
3.9%
- 2507
 
3.9%
5 2453
 
3.8%
6 2168
 
3.4%
7 1872
 
2.9%
0 1699
 
2.6%
Other values (10) 3718
 
5.8%
Latin
ValueCountFrequency (%)
m 3
25.0%
G 2
16.7%
x 2
16.7%
M 1
 
8.3%
B 1
 
8.3%
R 1
 
8.3%
N 1
 
8.3%
E 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 119478
64.9%
ASCII 64568
35.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
33509
51.9%
1 6420
 
9.9%
2 4444
 
6.9%
3 3227
 
5.0%
4 2540
 
3.9%
- 2507
 
3.9%
5 2453
 
3.8%
6 2168
 
3.4%
7 1872
 
2.9%
0 1699
 
2.6%
Other values (17) 3729
 
5.8%
Hangul
ValueCountFrequency (%)
도 9836
 
8.2%
남 9484
 
7.9%
전 8611
 
7.2%
라 8372
 
7.0%
길 6634
 
5.6%
군 5796
 
4.9%
로 3910
 
3.3%
면 3895
 
3.3%
시 3801
 
3.2%
읍 2936
 
2.5%
Other values (461) 56203
47.0%
None
ValueCountFrequency (%)
　 1
100.0%

위도
Text

Distinct9808
Distinct (%)98.1%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
2023-12-12T07:54:50.312777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length8.8742874
Min length5

Characters and Unicode

Total characters88734
Distinct characters13
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9620 ?
Unique (%)96.2%

Sample

1st row35.336137
2nd row34.633176
3rd row34.77137
4th row34.806082
5th row34.320871
ValueCountFrequency (%)
34.786813 3
 
< 0.1%
34.802379 3
 
< 0.1%
35.064346 3
 
< 0.1%
35.038611 2
 
< 0.1%
34.792667 2
 
< 0.1%
34.840344 2
 
< 0.1%
34.906185 2
 
< 0.1%
35.271764 2
 
< 0.1%
34.480893 2
 
< 0.1%
35.287263 2
 
< 0.1%
Other values (9799) 9977
99.8%
2023-12-12T07:54:50.784325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 15572
17.5%
4 12668
14.3%
. 10002
11.3%
5 8537
9.6%
7 7047
7.9%
9 6505
7.3%
8 6245
7.0%
6 5866
 
6.6%
2 5775
 
6.5%
1 5520
 
6.2%
Other values (3) 4997
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 78726
88.7%
Other Punctuation 10007
 
11.3%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 15572
19.8%
4 12668
16.1%
5 8537
10.8%
7 7047
9.0%
9 6505
8.3%
8 6245
7.9%
6 5866
 
7.5%
2 5775
 
7.3%
1 5520
 
7.0%
0 4991
 
6.3%
Other Punctuation
ValueCountFrequency (%)
. 10002
> 99.9%
, 5
 
< 0.1%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 88734
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 15572
17.5%
4 12668
14.3%
. 10002
11.3%
5 8537
9.6%
7 7047
7.9%
9 6505
7.3%
8 6245
7.0%
6 5866
 
6.6%
2 5775
 
6.5%
1 5520
 
6.2%
Other values (3) 4997
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 88734
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 15572
17.5%
4 12668
14.3%
. 10002
11.3%
5 8537
9.6%
7 7047
7.9%
9 6505
7.3%
8 6245
7.0%
6 5866
 
6.6%
2 5775
 
6.5%
1 5520
 
6.2%
Other values (3) 4997
 
5.6%

경도
Text

Distinct9832
Distinct (%)98.3%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
2023-12-12T07:54:51.159375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length9.8690869
Min length6

Characters and Unicode

Total characters98681
Distinct characters15
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9671 ?
Unique (%)96.7%

Sample

1st row126.816878
2nd row126.761652
3rd row126.440476
4th row126.393924
5th row126.849283
ValueCountFrequency (%)
126.552521 3
 
< 0.1%
126.670068 3
 
< 0.1%
126.292987 3
 
< 0.1%
127.571823 3
 
< 0.1%
126.4382 3
 
< 0.1%
126.390047 3
 
< 0.1%
126.422635 2
 
< 0.1%
126.391635 2
 
< 0.1%
126.539971 2
 
< 0.1%
126.489818 2
 
< 0.1%
Other values (9824) 9975
99.7%
2023-12-12T07:54:51.619966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 15441
15.6%
1 15380
15.6%
6 12390
12.6%
7 10390
10.5%
. 9999
10.1%
4 6719
6.8%
9 6095
 
6.2%
3 6083
 
6.2%
5 6074
 
6.2%
8 5719
 
5.8%
Other values (5) 4391
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 88677
89.9%
Other Punctuation 10000
 
10.1%
Space Separator 2
 
< 0.1%
Modifier Symbol 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 15441
17.4%
1 15380
17.3%
6 12390
14.0%
7 10390
11.7%
4 6719
7.6%
9 6095
 
6.9%
3 6083
 
6.9%
5 6074
 
6.8%
8 5719
 
6.4%
0 4386
 
4.9%
Other Punctuation
ValueCountFrequency (%)
. 9999
> 99.9%
' 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
2
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 98681
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 15441
15.6%
1 15380
15.6%
6 12390
12.6%
7 10390
10.5%
. 9999
10.1%
4 6719
6.8%
9 6095
 
6.2%
3 6083
 
6.2%
5 6074
 
6.2%
8 5719
 
5.8%
Other values (5) 4391
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 98681
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 15441
15.6%
1 15380
15.6%
6 12390
12.6%
7 10390
10.5%
. 9999
10.1%
4 6719
6.8%
9 6095
 
6.2%
3 6083
 
6.2%
5 6074
 
6.2%
8 5719
 
5.8%
Other values (5) 4391
 
4.4%

출수압력(킬로그램_제곱센티미터)
Text

Distinct124
Distinct (%)1.2%
Missing47
Missing (%)0.5%
Memory size156.2 KiB
2023-12-12T07:54:51.863719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length3
Mean length2.4000804
Min length1

Characters and Unicode

Total characters23888
Distinct characters39
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)0.5%

Sample

1st row2.5
2nd row2.5
3rd row2.5
4th row3.5
5th row2
ValueCountFrequency (%)
2.5 3500
35.1%
3.5 1365
 
13.7%
3 1061
 
10.7%
2 840
 
8.4%
4 705
 
7.1%
5 382
 
3.8%
1.5 310
 
3.1%
4.2 195
 
2.0%
3.3 170
 
1.7%
4.5 153
 
1.5%
Other values (113) 1279
 
12.8%
2023-12-12T07:54:52.199472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 6738
28.2%
5 6006
25.1%
2 5174
21.7%
3 3128
13.1%
4 1193
 
5.0%
1 542
 
2.3%
6 277
 
1.2%
8 171
 
0.7%
7 122
 
0.5%
0 116
 
0.5%
Other values (29) 421
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16783
70.3%
Other Punctuation 6743
28.2%
Other Letter 231
 
1.0%
Math Symbol 104
 
0.4%
Dash Punctuation 9
 
< 0.1%
Other Symbol 8
 
< 0.1%
Space Separator 7
 
< 0.1%
Uppercase Letter 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
없 53
22.9%
당 53
22.9%
해 53
22.9%
음 53
22.9%
불 4
 
1.7%
량 2
 
0.9%
가 2
 
0.9%
스 1
 
0.4%
폐 1
 
0.4%
개 1
 
0.4%
Other values (8) 8
 
3.5%
Decimal Number
ValueCountFrequency (%)
5 6006
35.8%
2 5174
30.8%
3 3128
18.6%
4 1193
 
7.1%
1 542
 
3.2%
6 277
 
1.7%
8 171
 
1.0%
7 122
 
0.7%
0 116
 
0.7%
9 54
 
0.3%
Other Punctuation
ValueCountFrequency (%)
. 6738
99.9%
/ 4
 
0.1%
, 1
 
< 0.1%
Other Symbol
ValueCountFrequency (%)
㎠ 4
50.0%
㎏ 4
50.0%
Math Symbol
ValueCountFrequency (%)
~ 104
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Uppercase Letter
ValueCountFrequency (%)
X 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 23656
99.0%
Hangul 231
 
1.0%
Latin 1
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
. 6738
28.5%
5 6006
25.4%
2 5174
21.9%
3 3128
13.2%
4 1193
 
5.0%
1 542
 
2.3%
6 277
 
1.2%
8 171
 
0.7%
7 122
 
0.5%
0 116
 
0.5%
Other values (10) 189
 
0.8%
Hangul
ValueCountFrequency (%)
없 53
22.9%
당 53
22.9%
해 53
22.9%
음 53
22.9%
불 4
 
1.7%
량 2
 
0.9%
가 2
 
0.9%
스 1
 
0.4%
폐 1
 
0.4%
개 1
 
0.4%
Other values (8) 8
 
3.5%
Latin
ValueCountFrequency (%)
X 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23649
99.0%
Hangul 231
 
1.0%
CJK Compat 8
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 6738
28.5%
5 6006
25.4%
2 5174
21.9%
3 3128
13.2%
4 1193
 
5.0%
1 542
 
2.3%
6 277
 
1.2%
8 171
 
0.7%
7 122
 
0.5%
0 116
 
0.5%
Other values (9) 182
 
0.8%
Hangul
ValueCountFrequency (%)
없 53
22.9%
당 53
22.9%
해 53
22.9%
음 53
22.9%
불 4
 
1.7%
량 2
 
0.9%
가 2
 
0.9%
스 1
 
0.4%
폐 1
 
0.4%
개 1
 
0.4%
Other values (8) 8
 
3.5%
CJK Compat
ValueCountFrequency (%)
㎠ 4
50.0%
㎏ 4
50.0%

배관구경_밀리미터
Categorical

IMBALANCE 

Distinct28
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
100
6516 
65
1328 
150
1064 
200
 
448
80
 
240
Other values (23)
 
404

Length

Max length6
Median length3
Mean length2.8267
Min length1

Unique

Unique8 ?
Unique (%)0.1%

Sample

1st row100
2nd row65
3rd row150
4th row200
5th row100

Common Values

ValueCountFrequency (%)
100 6516
65.2%
65 1328
 
13.3%
150 1064
 
10.6%
200 448
 
4.5%
80 240
 
2.4%
75 165
 
1.7%
50 70
 
0.7%
해당없음 50
 
0.5%
250 24
 
0.2%
400 16
 
0.2%
Other values (18) 79
 
0.8%

Length

2023-12-12T07:54:52.349713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
100 6516
65.2%
65 1328
 
13.3%
150 1064
 
10.6%
200 448
 
4.5%
80 240
 
2.4%
75 165
 
1.7%
50 70
 
0.7%
해당없음 50
 
0.5%
250 24
 
0.2%
400 16
 
0.2%
Other values (17) 79
 
0.8%

사용 가능여부
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Y
9140 
가능
 
696
N
 
88
Y
 
67
y
 
6
Other values (2)
 
3

Length

Max length3
Median length1
Mean length1.0768
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
Y 9140
91.4%
가능 696
 
7.0%
N 88
 
0.9%
Y 67
 
0.7%
y 6
 
0.1%
불가능 2
 
< 0.1%
불가 1
 
< 0.1%

Length

2023-12-12T07:54:52.483276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T07:54:52.620798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 9213
92.1%
가능 696
 
7.0%
n 88
 
0.9%
불가능 2
 
< 0.1%
불가 1
 
< 0.1%

보호틀
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
N
4875 
Y
4380 
있음
 
482
없음
 
208
Y
 
26
Other values (9)
 
29

Length

Max length4
Median length1
Mean length1.0729
Min length1

Unique

Unique4 ?
Unique (%)< 0.1%

Sample

1st rowY
2nd rowY
3rd rowN
4th rowN
5th rowN

Common Values

ValueCountFrequency (%)
N 4875
48.8%
Y 4380
43.8%
있음 482
 
4.8%
없음 208
 
2.1%
Y 26
 
0.3%
N 7
 
0.1%
무 6
 
0.1%
유 5
 
0.1%
n 5
 
0.1%
Y 2
 
< 0.1%
Other values (4) 4
 
< 0.1%

Length

2023-12-12T07:54:52.729756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
n 4888
48.9%
y 4409
44.1%
있음 482
 
4.8%
없음 208
 
2.1%
무 6
 
0.1%
유 5
 
< 0.1%
o 1
 
< 0.1%
na 1
 
< 0.1%

Correlations

2023-12-12T07:54:52.814375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치연도소방서수리종별시_군배관구경_밀리미터사용 가능여부보호틀
설치연도1.0000.7420.6990.7520.6110.1980.429
소방서0.7421.0000.7071.0000.6710.5570.543
수리종별0.6990.7071.0000.7060.6760.1110.250
시_군0.7521.0000.7061.0000.6590.6240.602
배관구경_밀리미터0.6110.6710.6760.6591.0000.1630.138
사용 가능여부0.1980.5570.1110.6240.1631.0000.850
보호틀0.4290.5430.2500.6020.1380.8501.000
2023-12-12T07:54:52.929157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수리종별시_군배관구경_밀리미터보호틀소방서사용 가능여부
수리종별1.0000.3510.3180.1060.3520.056
시_군0.3511.0000.2260.2460.9510.324
배관구경_밀리미터0.3180.2261.0000.0440.2330.068
보호틀0.1060.2460.0441.0000.2110.612
소방서0.3520.9510.2330.2111.0000.276
사용 가능여부0.0560.3240.0680.6120.2761.000
2023-12-12T07:54:53.056926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소방서수리종별시_군배관구경_밀리미터사용 가능여부보호틀
소방서1.0000.3520.9510.2330.2760.211
수리종별0.3521.0000.3510.3180.0560.106
시_군0.9510.3511.0000.2260.3240.246
배관구경_밀리미터0.2330.3180.2261.0000.0680.044
사용 가능여부0.2760.0560.3240.0681.0000.612
보호틀0.2110.1060.2460.0440.6121.000

Missing values

2023-12-12T07:54:44.298068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T07:54:44.535473image/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.
2023-12-12T07:54:44.733923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

설치연도소방서안전센터수리종별수리번호_신시_군지번주소도로명주소위도경도출수압력(킬로그램_제곱센티미터)배관구경_밀리미터사용 가능여부보호틀
104352022장성소방서장성119안전센터지상식s-가-장성-296호장성군전라남도 장성군 장성읍 야은리 213-4전라남도 장성군 장성읍 야은1길 3335.336137126.8168782.5100YY
84522021강진소방서강진119안전센터지상식M-가-강진-38호강진군전라남도 강진군 강진읍 평동리 276-2전라남도 강진군 강진읍 중앙로 1034.633176126.7616522.565YY
65701998영암소방서삼호119안전센터지하식소화전O-나-삼호-103호영암군전라남도 영암군 삼호읍 나불리 331-8전라남도 영암군 삼호읍 대불산단 3로 17134.77137126.4404762.5150YN
8482004목포소방서호남119안전센터지상식A-가-호남-601호목포시목포시 용당동 1125-4전라남도 목포시 산정로186번길 2834.806082126.3939243.5200YN
114042013완도소방서완도119안전센터지상식T-가-완도-291호완도군완도군 신지면 월양리 817-1전라남도 완도군 신지면 월부1길 5-134.320871126.8492832100YN
44172022광양소방서광양119안전센터지상식조화전E-가-광양-133호광양시전라남도 광양시 광양읍 힌려대길81전라남도 광양시 광양읍 매천로 77934.956995127.5681944100NY
105382013장성소방서삼계119안전센터지상식S-가-삼계-102호장성군전라남도 장성군 황룡면 장산리 171-1전라남도 장성군 황룡면 내장산길 2035.297513126.7606682.5100YN
10482017여수소방서평여119안전센터지상식B-가-평여-1028호여수시전라남도 여수시 중흥동 1769-5전라남도 여수시 중흥2로1134.82547127.6881322.3100YN
28092017순천소방서연향119안전센터지상식C-가-연향-22호순천시전라남도 순천시 조곡동 122-4전라남도 순천시 이수로 15634.948284127.5031584.265YY
88152016무안소방서무안119안전센터지상식P-가-무안-67호무안군전라남도 무안군 교촌리 310-3전라남도 무안군 무안읍 교촌길 24-1934.989539126.4701412.5100YY
설치연도소방서안전센터수리종별수리번호_신시_군지번주소도로명주소위도경도출수압력(킬로그램_제곱센티미터)배관구경_밀리미터사용 가능여부보호틀
12692007여수소방서소라119안전센터지상식B-가-소라-729호여수시덕양리 1340-10전라남도 여수시 소라면 중승길 4134.799489127.626375765YY
76022011영광소방서영광119안전센터지상식R-가-영광-114호영광군전라남도 영광군 영광읍 월평리 67-3도로명주소 미부여35.291401126.5068712.5150YY
6682014목포소방서하당119안전센터지상식A-가-하당-994호목포시목포시 용해동 1057전라남도 목포시 용해지구로 5434.818024126.3938812150YY
61112013해남소방서해남119안전센터지상식N-가-해남-275호해남군황산면 호동리 797-1전라남도 해남군 황산면 염수들길3834.556825126.4408593.5100YN
120152012신안소방서지도119안전센터지상식V-가-지도-87호신안군신안군 임자면 대기리 331-16전라남도 신안군 임자면 신명동길 5235.09619126.106273100YN
2511996목포소방서삼학119안전센터지상식A-가-삼학-70호목포시목포시 산정동 1357-12전라남도 목포시 삼학로145번길 1734.788603126.4001032.5100YN
85432011강진소방서성전119안전센터지상식M-가-성전-127호강진군전라남도 강진군 작천면 현산리 1110-71평리길 37-434.702893126.7736772.5100YY
21451985여수소방서연등119안전센터지상식B-나-연등-174호여수시전라남도 여수시 관문동 636전라남도 여수시 관문5길 11-2127.742051127.7420515.165YY
37692010나주소방서이창119안전센터지하식(일반)D-나-이창-041호나주시전라남도 나주시 삼영동 162-3전라남도 나주시 영산포로 27035.004827126.7084814.5100YN
33052008순천소방서구례119안전센터지상식C-가-구례-123호구례군전라남도 구례군 광의면 지천리 322-1전라남도 구례군 광의면 지상길 935.239021127.4648833.3100YN