Overview

Dataset statistics

Number of variables17
Number of observations128
Missing cells58
Missing cells (%)2.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.4 KiB
Average record size in memory147.0 B

Variable types

Numeric4
Categorical8
Text5

Dataset

Description인천광역시 부평구 개방화장실에 대한 화장실명, 소재지 주소, 변기 수, 관리기관, 개방시간 등에 대한 데이터를 제공합니다.
URLhttps://www.data.go.kr/data/15102494/fileData.do

Alerts

여성용-장애인용대변기수 is highly overall correlated with 여성용-대변기수 and 2 other fieldsHigh correlation
남성용-장애인용대변기수 is highly overall correlated with 여성용-대변기수 and 4 other fieldsHigh correlation
순번 is highly overall correlated with 화장실명High correlation
남성용-대변기수 is highly overall correlated with 남성용-소변기수 and 4 other fieldsHigh correlation
남성용-소변기수 is highly overall correlated with 남성용-대변기수 and 4 other fieldsHigh correlation
여성용-대변기수 is highly overall correlated with 남성용-대변기수 and 7 other fieldsHigh correlation
화장실명 is highly overall correlated with 순번 and 1 other fieldsHigh correlation
남성용-장애인용소변기수 is highly overall correlated with 남성용-대변기수 and 3 other fieldsHigh correlation
남성용-어린이용대변기수 is highly overall correlated with 남성용-대변기수 and 5 other fieldsHigh correlation
남성용-어린이용소변기수 is highly overall correlated with 남성용-대변기수 and 3 other fieldsHigh correlation
여성용-어린이용대변기수 is highly overall correlated with 여성용-대변기수 and 3 other fieldsHigh correlation
개방시간 is highly overall correlated with 화장실명High correlation
남성용-장애인용대변기수 is highly imbalanced (53.9%)Imbalance
남성용-장애인용소변기수 is highly imbalanced (64.4%)Imbalance
남성용-어린이용대변기수 is highly imbalanced (88.7%)Imbalance
남성용-어린이용소변기수 is highly imbalanced (87.6%)Imbalance
여성용-장애인용대변기수 is highly imbalanced (51.7%)Imbalance
여성용-어린이용대변기수 is highly imbalanced (79.8%)Imbalance
남녀공용화장실여부 has 52 (40.6%) missing valuesMissing
전화번호 has 3 (2.3%) missing valuesMissing
순번 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
남성용-대변기수 has 4 (3.1%) zerosZeros
남성용-소변기수 has 2 (1.6%) zerosZeros
여성용-대변기수 has 8 (6.2%) zerosZeros

Reproduction

Analysis started2023-12-12 00:26:19.457668
Analysis finished2023-12-12 00:26:23.001823
Duration3.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct128
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64.5
Minimum1
Maximum128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-12T09:26:23.096529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.35
Q132.75
median64.5
Q396.25
95-th percentile121.65
Maximum128
Range127
Interquartile range (IQR)63.5

Descriptive statistics

Standard deviation37.094474
Coefficient of variation (CV)0.57510812
Kurtosis-1.2
Mean64.5
Median Absolute Deviation (MAD)32
Skewness0
Sum8256
Variance1376
MonotonicityStrictly increasing
2023-12-12T09:26:23.314354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
66 1
 
0.8%
96 1
 
0.8%
95 1
 
0.8%
94 1
 
0.8%
93 1
 
0.8%
92 1
 
0.8%
91 1
 
0.8%
90 1
 
0.8%
89 1
 
0.8%
Other values (118) 118
92.2%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
128 1
0.8%
127 1
0.8%
126 1
0.8%
125 1
0.8%
124 1
0.8%
123 1
0.8%
122 1
0.8%
121 1
0.8%
120 1
0.8%
119 1
0.8%

화장실명
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
주유소/충전소
52 
공공기관
27 
민간개방
27 
교육연구
6 
전통시장
 
5
Other values (4)
11 

Length

Max length7
Median length4
Mean length5.1875
Min length2

Unique

Unique1 ?
Unique (%)0.8%

Sample

1st row대규모점포
2nd row대규모점포
3rd row역사
4th row역사
5th row역사

Common Values

ValueCountFrequency (%)
주유소/충전소 52
40.6%
공공기관 27
21.1%
민간개방 27
21.1%
교육연구 6
 
4.7%
전통시장 5
 
3.9%
지하상가 5
 
3.9%
역사 3
 
2.3%
대규모점포 2
 
1.6%
체육시설 1
 
0.8%

Length

2023-12-12T09:26:23.443155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:26:23.581480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주유소/충전소 52
40.6%
공공기관 27
21.1%
민간개방 27
21.1%
교육연구 6
 
4.7%
전통시장 5
 
3.9%
지하상가 5
 
3.9%
역사 3
 
2.3%
대규모점포 2
 
1.6%
체육시설 1
 
0.8%

소재지도로명주소
Text

UNIQUE 

Distinct128
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T09:26:23.887454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length8.6640625
Min length4

Characters and Unicode

Total characters1109
Distinct characters210
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique128 ?
Unique (%)100.0%

Sample

1st row부평역사쇼핑몰
2nd row롯데마트 부평점
3rd row동암역 고객화장실
4th row백운역 고객화장실
5th row부개역 고객화장실
ValueCountFrequency (%)
부평점 6
 
3.4%
sk에너지㈜ 3
 
1.7%
시설관리공단 3
 
1.7%
고객화장실 3
 
1.7%
부평구 3
 
1.7%
㈜태보에너지 2
 
1.1%
주식회사 2
 
1.1%
지에스칼텍스㈜ 2
 
1.1%
하이마트 2
 
1.1%
효성주유소 1
 
0.6%
Other values (149) 149
84.7%
2023-12-12T09:26:24.302668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 52
 
4.7%
48
 
4.3%
부 45
 
4.1%
주 44
 
4.0%
유 42
 
3.8%
평 35
 
3.2%
지 29
 
2.6%
산 20
 
1.8%
㈜ 19
 
1.7%
에 18
 
1.6%
Other values (200) 757
68.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 962
86.7%
Space Separator 48
 
4.3%
Decimal Number 25
 
2.3%
Uppercase Letter 22
 
2.0%
Other Symbol 19
 
1.7%
Open Punctuation 12
 
1.1%
Close Punctuation 12
 
1.1%
Lowercase Letter 8
 
0.7%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 52
 
5.4%
부 45
 
4.7%
주 44
 
4.6%
유 42
 
4.4%
평 35
 
3.6%
지 29
 
3.0%
산 20
 
2.1%
에 18
 
1.9%
전 17
 
1.8%
장 16
 
1.7%
Other values (178) 644
66.9%
Uppercase Letter
ValueCountFrequency (%)
C 4
18.2%
I 4
18.2%
K 4
18.2%
S 3
13.6%
P 2
9.1%
L 2
9.1%
G 2
9.1%
B 1
 
4.5%
Decimal Number
ValueCountFrequency (%)
1 11
44.0%
2 6
24.0%
9 5
20.0%
3 2
 
8.0%
7 1
 
4.0%
Lowercase Letter
ValueCountFrequency (%)
s 2
25.0%
e 2
25.0%
l 2
25.0%
f 2
25.0%
Space Separator
ValueCountFrequency (%)
48
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 981
88.5%
Common 98
 
8.8%
Latin 30
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 52
 
5.3%
부 45
 
4.6%
주 44
 
4.5%
유 42
 
4.3%
평 35
 
3.6%
지 29
 
3.0%
산 20
 
2.0%
㈜ 19
 
1.9%
에 18
 
1.8%
전 17
 
1.7%
Other values (179) 660
67.3%
Latin
ValueCountFrequency (%)
C 4
13.3%
I 4
13.3%
K 4
13.3%
S 3
10.0%
P 2
6.7%
s 2
6.7%
L 2
6.7%
e 2
6.7%
l 2
6.7%
f 2
6.7%
Other values (2) 3
10.0%
Common
ValueCountFrequency (%)
48
49.0%
( 12
 
12.2%
) 12
 
12.2%
1 11
 
11.2%
2 6
 
6.1%
9 5
 
5.1%
3 2
 
2.0%
+ 1
 
1.0%
7 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 962
86.7%
ASCII 128
 
11.5%
None 19
 
1.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 52
 
5.4%
부 45
 
4.7%
주 44
 
4.6%
유 42
 
4.4%
평 35
 
3.6%
지 29
 
3.0%
산 20
 
2.1%
에 18
 
1.9%
전 17
 
1.8%
장 16
 
1.7%
Other values (178) 644
66.9%
ASCII
ValueCountFrequency (%)
48
37.5%
( 12
 
9.4%
) 12
 
9.4%
1 11
 
8.6%
2 6
 
4.7%
9 5
 
3.9%
C 4
 
3.1%
I 4
 
3.1%
K 4
 
3.1%
S 3
 
2.3%
Other values (11) 19
 
14.8%
None
ValueCountFrequency (%)
㈜ 19
100.0%

소재지지번주소
Text

Distinct123
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T09:26:24.574795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length25
Mean length20.109375
Min length15

Characters and Unicode

Total characters2574
Distinct characters87
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique119 ?
Unique (%)93.0%

Sample

1st row인천광역시 부평구 광장로 16 (부평동)2층
2nd row인천광역시 부평구 마장로 296
3rd row인천광역시 부평구 동암광장로 10
4th row인천광역시 부평구 마장로55번길 14
5th row인천광역시 부평구 수변로 22
ValueCountFrequency (%)
인천광역시 128
25.0%
부평구 127
24.8%
마장로 12
 
2.3%
경인로 11
 
2.1%
부평대로 10
 
2.0%
장제로 8
 
1.6%
굴포로 5
 
1.0%
평천로 5
 
1.0%
경원대로 5
 
1.0%
주부토로 5
 
1.0%
Other values (159) 196
38.3%
2023-12-12T09:26:24.989883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
384
14.9%
부 173
 
6.7%
평 160
 
6.2%
천 143
 
5.6%
인 140
 
5.4%
광 134
 
5.2%
구 134
 
5.2%
시 128
 
5.0%
역 128
 
5.0%
로 128
 
5.0%
Other values (77) 922
35.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1676
65.1%
Decimal Number 385
 
15.0%
Space Separator 384
 
14.9%
Close Punctuation 63
 
2.4%
Open Punctuation 63
 
2.4%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 173
10.3%
평 160
9.5%
천 143
8.5%
인 140
8.4%
광 134
 
8.0%
구 134
 
8.0%
시 128
 
7.6%
역 128
 
7.6%
로 128
 
7.6%
동 65
 
3.9%
Other values (63) 343
20.5%
Decimal Number
ValueCountFrequency (%)
1 81
21.0%
2 56
14.5%
3 50
13.0%
4 40
10.4%
5 34
8.8%
0 34
8.8%
9 30
 
7.8%
6 23
 
6.0%
7 22
 
5.7%
8 15
 
3.9%
Space Separator
ValueCountFrequency (%)
384
100.0%
Close Punctuation
ValueCountFrequency (%)
) 63
100.0%
Open Punctuation
ValueCountFrequency (%)
( 63
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1676
65.1%
Common 898
34.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 173
10.3%
평 160
9.5%
천 143
8.5%
인 140
8.4%
광 134
 
8.0%
구 134
 
8.0%
시 128
 
7.6%
역 128
 
7.6%
로 128
 
7.6%
동 65
 
3.9%
Other values (63) 343
20.5%
Common
ValueCountFrequency (%)
384
42.8%
1 81
 
9.0%
) 63
 
7.0%
( 63
 
7.0%
2 56
 
6.2%
3 50
 
5.6%
4 40
 
4.5%
5 34
 
3.8%
0 34
 
3.8%
9 30
 
3.3%
Other values (4) 63
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1676
65.1%
ASCII 898
34.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
384
42.8%
1 81
 
9.0%
) 63
 
7.0%
( 63
 
7.0%
2 56
 
6.2%
3 50
 
5.6%
4 40
 
4.5%
5 34
 
3.8%
0 34
 
3.8%
9 30
 
3.3%
Other values (4) 63
 
7.0%
Hangul
ValueCountFrequency (%)
부 173
10.3%
평 160
9.5%
천 143
8.5%
인 140
8.4%
광 134
 
8.0%
구 134
 
8.0%
시 128
 
7.6%
역 128
 
7.6%
로 128
 
7.6%
동 65
 
3.9%
Other values (63) 343
20.5%

남녀공용화장실여부
Text

MISSING 

Distinct69
Distinct (%)90.8%
Missing52
Missing (%)40.6%
Memory size1.1 KiB
2023-12-12T09:26:25.289652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length19.315789
Min length17

Characters and Unicode

Total characters1468
Distinct characters31
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique64 ?
Unique (%)84.2%

Sample

1st row인천광역시 부평구 부평동 738-21
2nd row인천광역시 부평구 산곡동 159-52
3rd row인천광역시 부평구 십정동 541
4th row인천광역시 부평구 십정동 541-1
5th row인천광역시 부평구 부개동 468
ValueCountFrequency (%)
인천광역시 76
25.0%
부평구 76
25.0%
부평동 22
 
7.2%
산곡동 11
 
3.6%
삼산동 10
 
3.3%
십정동 9
 
3.0%
청천동 7
 
2.3%
부개동 7
 
2.3%
갈산동 5
 
1.6%
441-1 3
 
1.0%
Other values (73) 78
25.7%
2023-12-12T09:26:25.806081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
228
15.5%
부 107
 
7.3%
평 98
 
6.7%
천 84
 
5.7%
인 76
 
5.2%
광 76
 
5.2%
역 76
 
5.2%
시 76
 
5.2%
구 76
 
5.2%
동 76
 
5.2%
Other values (21) 495
33.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 836
56.9%
Decimal Number 332
 
22.6%
Space Separator 228
 
15.5%
Dash Punctuation 72
 
4.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 107
12.8%
평 98
11.7%
천 84
10.0%
인 76
9.1%
광 76
9.1%
역 76
9.1%
시 76
9.1%
구 76
9.1%
동 76
9.1%
산 27
 
3.2%
Other values (9) 64
7.7%
Decimal Number
ValueCountFrequency (%)
1 69
20.8%
4 50
15.1%
2 38
11.4%
9 33
9.9%
0 31
9.3%
5 31
9.3%
3 26
 
7.8%
6 25
 
7.5%
7 18
 
5.4%
8 11
 
3.3%
Space Separator
ValueCountFrequency (%)
228
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 72
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 836
56.9%
Common 632
43.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 107
12.8%
평 98
11.7%
천 84
10.0%
인 76
9.1%
광 76
9.1%
역 76
9.1%
시 76
9.1%
구 76
9.1%
동 76
9.1%
산 27
 
3.2%
Other values (9) 64
7.7%
Common
ValueCountFrequency (%)
228
36.1%
- 72
 
11.4%
1 69
 
10.9%
4 50
 
7.9%
2 38
 
6.0%
9 33
 
5.2%
0 31
 
4.9%
5 31
 
4.9%
3 26
 
4.1%
6 25
 
4.0%
Other values (2) 29
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 836
56.9%
ASCII 632
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
228
36.1%
- 72
 
11.4%
1 69
 
10.9%
4 50
 
7.9%
2 38
 
6.0%
9 33
 
5.2%
0 31
 
4.9%
5 31
 
4.9%
3 26
 
4.1%
6 25
 
4.0%
Other values (2) 29
 
4.6%
Hangul
ValueCountFrequency (%)
부 107
12.8%
평 98
11.7%
천 84
10.0%
인 76
9.1%
광 76
9.1%
역 76
9.1%
시 76
9.1%
구 76
9.1%
동 76
9.1%
산 27
 
3.2%
Other values (9) 64
7.7%

남성용-대변기수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct11
Distinct (%)8.7%
Missing1
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean2.3307087
Minimum0
Maximum25
Zeros4
Zeros (%)3.1%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-12T09:26:25.943371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q32
95-th percentile6
Maximum25
Range25
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.9895456
Coefficient of variation (CV)1.2826767
Kurtosis33.118514
Mean2.3307087
Median Absolute Deviation (MAD)1
Skewness5.1606913
Sum296
Variance8.9373828
MonotonicityNot monotonic
2023-12-12T09:26:26.064739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 58
45.3%
2 34
26.6%
3 12
 
9.4%
4 9
 
7.0%
0 4
 
3.1%
6 3
 
2.3%
5 2
 
1.6%
9 2
 
1.6%
25 1
 
0.8%
19 1
 
0.8%
ValueCountFrequency (%)
0 4
 
3.1%
1 58
45.3%
2 34
26.6%
3 12
 
9.4%
4 9
 
7.0%
5 2
 
1.6%
6 3
 
2.3%
8 1
 
0.8%
9 2
 
1.6%
19 1
 
0.8%
ValueCountFrequency (%)
25 1
 
0.8%
19 1
 
0.8%
9 2
 
1.6%
8 1
 
0.8%
6 3
 
2.3%
5 2
 
1.6%
4 9
 
7.0%
3 12
 
9.4%
2 34
26.6%
1 58
45.3%

남성용-소변기수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct14
Distinct (%)11.0%
Missing1
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean2.9606299
Minimum0
Maximum35
Zeros2
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-12T09:26:26.210526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q33
95-th percentile6.7
Maximum35
Range35
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.6064351
Coefficient of variation (CV)1.218131
Kurtosis50.42437
Mean2.9606299
Median Absolute Deviation (MAD)1
Skewness6.1869625
Sum376
Variance13.006374
MonotonicityNot monotonic
2023-12-12T09:26:26.370363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
2 48
37.5%
1 31
24.2%
3 18
 
14.1%
4 10
 
7.8%
5 7
 
5.5%
6 4
 
3.1%
0 2
 
1.6%
7 1
 
0.8%
35 1
 
0.8%
8 1
 
0.8%
Other values (4) 4
 
3.1%
ValueCountFrequency (%)
0 2
 
1.6%
1 31
24.2%
2 48
37.5%
3 18
 
14.1%
4 10
 
7.8%
5 7
 
5.5%
6 4
 
3.1%
7 1
 
0.8%
8 1
 
0.8%
9 1
 
0.8%
ValueCountFrequency (%)
35 1
 
0.8%
15 1
 
0.8%
12 1
 
0.8%
10 1
 
0.8%
9 1
 
0.8%
8 1
 
0.8%
7 1
 
0.8%
6 4
 
3.1%
5 7
5.5%
4 10
7.8%

남성용-장애인용대변기수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct6
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
0
86 
1
36 
2
 
3
<NA>
 
1
4
 
1

Length

Max length4
Median length1
Mean length1.0234375
Min length1

Unique

Unique3 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 86
67.2%
1 36
28.1%
2 3
 
2.3%
<NA> 1
 
0.8%
4 1
 
0.8%
3 1
 
0.8%

Length

2023-12-12T09:26:26.512462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:26:26.652781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 86
67.2%
1 36
28.1%
2 3
 
2.3%
na 1
 
0.8%
4 1
 
0.8%
3 1
 
0.8%

남성용-장애인용소변기수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
0
106 
1
18 
4
 
2
<NA>
 
1
2
 
1

Length

Max length4
Median length1
Mean length1.0234375
Min length1

Unique

Unique2 ?
Unique (%)1.6%

Sample

1st row1
2nd row0
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
0 106
82.8%
1 18
 
14.1%
4 2
 
1.6%
<NA> 1
 
0.8%
2 1
 
0.8%

Length

2023-12-12T09:26:26.789447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:26:26.907678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 106
82.8%
1 18
 
14.1%
4 2
 
1.6%
na 1
 
0.8%
2 1
 
0.8%

남성용-어린이용대변기수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
0
124 
4
 
1
<NA>
 
1
2
 
1
1
 
1

Length

Max length4
Median length1
Mean length1.0234375
Min length1

Unique

Unique4 ?
Unique (%)3.1%

Sample

1st row0
2nd row4
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 124
96.9%
4 1
 
0.8%
<NA> 1
 
0.8%
2 1
 
0.8%
1 1
 
0.8%

Length

2023-12-12T09:26:27.053656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:26:27.188887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 124
96.9%
4 1
 
0.8%
na 1
 
0.8%
2 1
 
0.8%
1 1
 
0.8%

남성용-어린이용소변기수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
0
124 
1
 
2
2
 
1
<NA>
 
1

Length

Max length4
Median length1
Mean length1.0234375
Min length1

Unique

Unique2 ?
Unique (%)1.6%

Sample

1st row0
2nd row2
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 124
96.9%
1 2
 
1.6%
2 1
 
0.8%
<NA> 1
 
0.8%

Length

2023-12-12T09:26:27.372619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:26:27.496082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 124
96.9%
1 2
 
1.6%
2 1
 
0.8%
na 1
 
0.8%

여성용-대변기수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct15
Distinct (%)11.8%
Missing1
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean2.992126
Minimum0
Maximum41
Zeros8
Zeros (%)6.2%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-12T09:26:27.592153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile10
Maximum41
Range41
Interquartile range (IQR)2

Descriptive statistics

Standard deviation4.6110565
Coefficient of variation (CV)1.5410636
Kurtosis37.775061
Mean2.992126
Median Absolute Deviation (MAD)1
Skewness5.2898428
Sum380
Variance21.261842
MonotonicityNot monotonic
2023-12-12T09:26:27.732318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
1 50
39.1%
2 33
25.8%
3 9
 
7.0%
0 8
 
6.2%
4 7
 
5.5%
6 5
 
3.9%
10 3
 
2.3%
5 3
 
2.3%
9 2
 
1.6%
8 2
 
1.6%
Other values (5) 5
 
3.9%
ValueCountFrequency (%)
0 8
 
6.2%
1 50
39.1%
2 33
25.8%
3 9
 
7.0%
4 7
 
5.5%
5 3
 
2.3%
6 5
 
3.9%
8 2
 
1.6%
9 2
 
1.6%
10 3
 
2.3%
ValueCountFrequency (%)
41 1
 
0.8%
20 1
 
0.8%
15 1
 
0.8%
13 1
 
0.8%
11 1
 
0.8%
10 3
2.3%
9 2
 
1.6%
8 2
 
1.6%
6 5
3.9%
5 3
2.3%

여성용-장애인용대변기수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
0
91 
1
31 
2
 
3
4
 
2
<NA>
 
1

Length

Max length4
Median length1
Mean length1.0234375
Min length1

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
0 91
71.1%
1 31
 
24.2%
2 3
 
2.3%
4 2
 
1.6%
<NA> 1
 
0.8%

Length

2023-12-12T09:26:27.863261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:26:27.977893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 91
71.1%
1 31
 
24.2%
2 3
 
2.3%
4 2
 
1.6%
na 1
 
0.8%

여성용-어린이용대변기수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
0
120 
1
 
6
<NA>
 
1
2
 
1

Length

Max length4
Median length1
Mean length1.0234375
Min length1

Unique

Unique2 ?
Unique (%)1.6%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 120
93.8%
1 6
 
4.7%
<NA> 1
 
0.8%
2 1
 
0.8%

Length

2023-12-12T09:26:28.099099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:26:28.566285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 120
93.8%
1 6
 
4.7%
na 1
 
0.8%
2 1
 
0.8%

관리기관명
Text

Distinct71
Distinct (%)55.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T09:26:28.873284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length9.6015625
Min length3

Characters and Unicode

Total characters1229
Distinct characters159
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique66 ?
Unique (%)51.6%

Sample

1st row부평역사쇼핑몰
2nd row롯데마트 부평점
3rd row동암역
4th row백운역
5th row부개역
ValueCountFrequency (%)
부평구청 52
24.9%
기후변화대응과 52
24.9%
부평점 5
 
2.4%
부평경찰서 4
 
1.9%
시설관리공단 3
 
1.4%
삼산경찰서 3
 
1.4%
부평구 3
 
1.4%
상인회 3
 
1.4%
인천광역시 2
 
1.0%
부평소방서(특별구급대 2
 
1.0%
Other values (78) 80
38.3%
2023-12-12T09:26:29.416027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
부 91
 
7.4%
평 84
 
6.8%
81
 
6.6%
구 62
 
5.0%
대 61
 
5.0%
청 54
 
4.4%
화 54
 
4.4%
기 53
 
4.3%
후 52
 
4.2%
변 52
 
4.2%
Other values (149) 585
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1121
91.2%
Space Separator 81
 
6.6%
Decimal Number 20
 
1.6%
Open Punctuation 2
 
0.2%
Close Punctuation 2
 
0.2%
Uppercase Letter 2
 
0.2%
Other Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 91
 
8.1%
평 84
 
7.5%
구 62
 
5.5%
대 61
 
5.4%
청 54
 
4.8%
화 54
 
4.8%
기 53
 
4.7%
후 52
 
4.6%
변 52
 
4.6%
응 52
 
4.6%
Other values (139) 506
45.1%
Decimal Number
ValueCountFrequency (%)
1 10
50.0%
9 5
25.0%
2 3
 
15.0%
3 2
 
10.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
K 1
50.0%
Space Separator
ValueCountFrequency (%)
81
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1122
91.3%
Common 105
 
8.5%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 91
 
8.1%
평 84
 
7.5%
구 62
 
5.5%
대 61
 
5.4%
청 54
 
4.8%
화 54
 
4.8%
기 53
 
4.7%
후 52
 
4.6%
변 52
 
4.6%
응 52
 
4.6%
Other values (140) 507
45.2%
Common
ValueCountFrequency (%)
81
77.1%
1 10
 
9.5%
9 5
 
4.8%
2 3
 
2.9%
3 2
 
1.9%
( 2
 
1.9%
) 2
 
1.9%
Latin
ValueCountFrequency (%)
B 1
50.0%
K 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1121
91.2%
ASCII 107
 
8.7%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
부 91
 
8.1%
평 84
 
7.5%
구 62
 
5.5%
대 61
 
5.4%
청 54
 
4.8%
화 54
 
4.8%
기 53
 
4.7%
후 52
 
4.6%
변 52
 
4.6%
응 52
 
4.6%
Other values (139) 506
45.1%
ASCII
ValueCountFrequency (%)
81
75.7%
1 10
 
9.3%
9 5
 
4.7%
2 3
 
2.8%
3 2
 
1.9%
( 2
 
1.9%
) 2
 
1.9%
B 1
 
0.9%
K 1
 
0.9%
None
ValueCountFrequency (%)
㈜ 1
100.0%

전화번호
Text

MISSING 

Distinct68
Distinct (%)54.4%
Missing3
Missing (%)2.3%
Memory size1.1 KiB
2023-12-12T09:26:29.712050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.952
Min length9

Characters and Unicode

Total characters1494
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

Unique63 ?
Unique (%)50.4%

Sample

1st row032-515-0154
2nd row032-509-2524
3rd row032-421-7788
4th row032-524-7788
5th row032-517-7788
ValueCountFrequency (%)
032-509-6594 52
41.6%
032-363-1322 3
 
2.4%
032-509-0117 3
 
2.4%
032-516-0655 2
 
1.6%
1566-8578 2
 
1.6%
032-515-0154 1
 
0.8%
032-509-0301 1
 
0.8%
032-512-0990 1
 
0.8%
032-522-0057 1
 
0.8%
032-518-6144 1
 
0.8%
Other values (58) 58
46.4%
2023-12-12T09:26:30.123730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 248
16.6%
0 241
16.1%
5 198
13.3%
3 196
13.1%
2 180
12.0%
9 139
9.3%
6 84
 
5.6%
4 81
 
5.4%
1 64
 
4.3%
7 38
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1246
83.4%
Dash Punctuation 248
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 241
19.3%
5 198
15.9%
3 196
15.7%
2 180
14.4%
9 139
11.2%
6 84
 
6.7%
4 81
 
6.5%
1 64
 
5.1%
7 38
 
3.0%
8 25
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 248
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1494
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 248
16.6%
0 241
16.1%
5 198
13.3%
3 196
13.1%
2 180
12.0%
9 139
9.3%
6 84
 
5.6%
4 81
 
5.4%
1 64
 
4.3%
7 38
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1494
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 248
16.6%
0 241
16.1%
5 198
13.3%
3 196
13.1%
2 180
12.0%
9 139
9.3%
6 84
 
5.6%
4 81
 
5.4%
1 64
 
4.3%
7 38
 
2.5%

개방시간
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)11.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
24시간
64 
9시간
14 
18시간
9 
13시간
8 
12시간
7 
Other values (10)
26 

Length

Max length11
Median length4
Mean length3.921875
Min length3

Unique

Unique2 ?
Unique (%)1.6%

Sample

1st row10시간
2nd row13시간
3rd row20시간
4th row20시간
5th row20시간

Common Values

ValueCountFrequency (%)
24시간 64
50.0%
9시간 14
 
10.9%
18시간 9
 
7.0%
13시간 8
 
6.2%
12시간 7
 
5.5%
17시간 6
 
4.7%
10시간 3
 
2.3%
20시간 3
 
2.3%
16시간 3
 
2.3%
8시간 3
 
2.3%
Other values (5) 8
 
6.2%

Length

2023-12-12T09:26:30.269392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
24시간 64
50.0%
9시간 14
 
10.9%
18시간 9
 
7.0%
13시간 8
 
6.2%
12시간 7
 
5.5%
17시간 6
 
4.7%
10시간 3
 
2.3%
20시간 3
 
2.3%
16시간 3
 
2.3%
8시간 3
 
2.3%
Other values (5) 8
 
6.2%

Interactions

2023-12-12T09:26:22.002164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:26:20.918703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:26:21.240664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:26:21.606402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:26:22.100383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:26:20.996278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:26:21.343956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:26:21.706579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:26:22.229015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:26:21.074246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:26:21.434171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:26:21.814025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:26:22.328708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:26:21.159115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:26:21.527841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:26:21.910551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:26:30.382394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번화장실명남녀공용화장실여부남성용-대변기수남성용-소변기수남성용-장애인용대변기수남성용-장애인용소변기수남성용-어린이용대변기수남성용-어린이용소변기수여성용-대변기수여성용-장애인용대변기수여성용-어린이용대변기수관리기관명전화번호개방시간
순번1.0000.8400.9940.4350.3480.5470.2810.0940.0360.5000.4550.1810.8360.8440.609
화장실명0.8401.0000.9980.6570.6190.4120.4220.6940.6360.7110.6160.3031.0001.0000.852
남녀공용화장실여부0.9940.9981.0000.0000.0000.9160.0001.0001.0000.0000.8390.9230.9960.9960.990
남성용-대변기수0.4350.6570.0001.0000.9770.4910.7410.8000.9360.9670.4940.7590.9070.9560.400
남성용-소변기수0.3480.6190.0000.9771.0000.5820.8700.7810.9360.9660.6260.5990.9320.9610.086
남성용-장애인용대변기수0.5470.4120.9160.4910.5821.0000.6290.6360.0000.7010.9180.7550.9230.9840.000
남성용-장애인용소변기수0.2810.4220.0000.7410.8700.6291.0000.7450.0000.7970.8160.4890.7660.9300.000
남성용-어린이용대변기수0.0940.6941.0000.8000.7810.6360.7451.0000.7990.9190.7560.7150.9171.0000.000
남성용-어린이용소변기수0.0360.6361.0000.9360.9360.0000.0000.7991.0000.9410.0000.3981.0000.9650.000
여성용-대변기수0.5000.7110.0000.9670.9660.7010.7970.9190.9411.0000.6770.9490.9380.9890.480
여성용-장애인용대변기수0.4550.6160.8390.4940.6260.9180.8160.7560.0000.6771.0000.5290.9350.9840.000
여성용-어린이용대변기수0.1810.3030.9230.7590.5990.7550.4890.7150.3980.9490.5291.0000.6190.9930.000
관리기관명0.8361.0000.9960.9070.9320.9230.7660.9171.0000.9380.9350.6191.0001.0000.942
전화번호0.8441.0000.9960.9560.9610.9840.9301.0000.9650.9890.9840.9931.0001.0000.917
개방시간0.6090.8520.9900.4000.0860.0000.0000.0000.0000.4800.0000.0000.9420.9171.000
2023-12-12T09:26:30.552137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
여성용-장애인용대변기수남성용-장애인용소변기수남성용-장애인용대변기수개방시간화장실명남성용-어린이용대변기수여성용-어린이용대변기수남성용-어린이용소변기수
여성용-장애인용대변기수1.0000.4590.9260.0000.3080.3930.5300.000
남성용-장애인용소변기수0.4591.0000.5550.0000.1950.3820.4850.000
남성용-장애인용대변기수0.9260.5551.0000.0000.2640.5630.7520.000
개방시간0.0000.0000.0001.0000.5820.0000.0000.000
화장실명0.3080.1950.2640.5821.0000.3640.1960.499
남성용-어린이용대변기수0.3930.3820.5630.0000.3641.0000.7520.858
여성용-어린이용대변기수0.5300.4850.7520.0000.1960.7521.0000.145
남성용-어린이용소변기수0.0000.0000.0000.0000.4990.8580.1451.000
2023-12-12T09:26:30.676783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번남성용-대변기수남성용-소변기수여성용-대변기수화장실명남성용-장애인용대변기수남성용-장애인용소변기수남성용-어린이용대변기수남성용-어린이용소변기수여성용-장애인용대변기수여성용-어린이용대변기수개방시간
순번1.000-0.384-0.196-0.2940.5850.2510.1650.0490.0000.2800.1040.292
남성용-대변기수-0.3841.0000.6930.6760.4800.3600.5790.6430.6860.3350.3860.284
남성용-소변기수-0.1960.6931.0000.6910.3750.4720.7410.6430.6860.4820.3620.000
여성용-대변기수-0.2940.6760.6911.0000.4930.5630.6390.8020.6980.5030.7180.250
화장실명0.5850.4800.3750.4931.0000.2640.1950.3640.4990.3080.1960.582
남성용-장애인용대변기수0.2510.3600.4720.5630.2641.0000.5550.5630.0000.9260.7520.000
남성용-장애인용소변기수0.1650.5790.7410.6390.1950.5551.0000.3820.0000.4590.4850.000
남성용-어린이용대변기수0.0490.6430.6430.8020.3640.5630.3821.0000.8580.3930.7520.000
남성용-어린이용소변기수0.0000.6860.6860.6980.4990.0000.0000.8581.0000.0000.1450.000
여성용-장애인용대변기수0.2800.3350.4820.5030.3080.9260.4590.3930.0001.0000.5300.000
여성용-어린이용대변기수0.1040.3860.3620.7180.1960.7520.4850.7520.1450.5301.0000.000
개방시간0.2920.2840.0000.2500.5820.0000.0000.0000.0000.0000.0001.000

Missing values

2023-12-12T09:26:22.462625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:26:22.704732image/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.
2023-12-12T09:26:22.871351image/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

순번화장실명소재지도로명주소소재지지번주소남녀공용화장실여부남성용-대변기수남성용-소변기수남성용-장애인용대변기수남성용-장애인용소변기수남성용-어린이용대변기수남성용-어린이용소변기수여성용-대변기수여성용-장애인용대변기수여성용-어린이용대변기수관리기관명전화번호개방시간
01대규모점포부평역사쇼핑몰인천광역시 부평구 광장로 16 (부평동)2층인천광역시 부평구 부평동 738-21471100610부평역사쇼핑몰032-515-015410시간
12대규모점포롯데마트 부평점인천광역시 부평구 마장로 296인천광역시 부평구 산곡동 159-52253510424110롯데마트 부평점032-509-252413시간
23역사동암역 고객화장실인천광역시 부평구 동암광장로 10인천광역시 부평구 십정동 5416411001010동암역032-421-778820시간
34역사백운역 고객화장실인천광역시 부평구 마장로55번길 14인천광역시 부평구 십정동 541-16311001011백운역032-524-778820시간
45역사부개역 고객화장실인천광역시 부평구 수변로 22인천광역시 부평구 부개동 468361100610부개역032-517-778820시간
56체육시설인천광역시교육청 북부교육문화센터인천광역시 부평구 원적로 391(산곡동)인천광역시 부평구 산곡동 128-60<NA><NA><NA><NA><NA><NA><NA><NA><NA>인천광역시교육청 북부교육문화센터<NA><NA>
67전통시장진흥종합시장인천광역시 부평구 부흥로304번길27(부평동)인천광역시 부평구 부평동 252-35441000500진흥종합시장 상인회032-502-887413시간
78지하상가신부평지하도상가인천광역시 부평구 광장로지하30(부평동)인천광역시 부평구 부평동 126-10340000600신부평지하도상가032-527-046012시간
89지하상가부평중앙지하도상가인천광역시 부평구 광장로지하30(부평동)인천광역시 부평구 부평동 126-10550000900부평중앙지하도상가032-523-999212시간
910전통시장부평종합시장인천광역시 부평구 주부토로22번길29-10(부평동)인천광역시 부평구 부평동 360-81231001610부평종합시장 상인회032-516-065513시간
순번화장실명소재지도로명주소소재지지번주소남녀공용화장실여부남성용-대변기수남성용-소변기수남성용-장애인용대변기수남성용-장애인용소변기수남성용-어린이용대변기수남성용-어린이용소변기수여성용-대변기수여성용-장애인용대변기수여성용-어린이용대변기수관리기관명전화번호개방시간
118119민간개방양평신내 서울해장국인천광역시 부평구 마장로 191인천광역시 부평구 산곡동 362-23110000100양평신내 서울해장국032-504-434215시간
119120민간개방산곡3동성당인천광역시 부평구 화랑북로 17인천광역시 부평구 산곡동 330-6220100400산곡3동 성당032-515-80518시간
120121민간개방전방프라자인천광역시 부평구 안남로 261인천광역시 부평구 산곡동 124-25251000210전방프라자032-508-046124시간
121122민간개방대우프라자인천광역시 부평구 세월천로 34인천광역시 부평구 청천동 180-4251000410대우프라자032-526-701224시간
122123민간개방하이마트 산곡점인천광역시 부평구 마장로 345인천광역시 부평구 산곡동 93-3021000200하이마트 산곡점032-515-779910시간
123124민간개방애니카랜드인천광역시 부평구 평천로 144인천광역시 부평구 청천동 6-1110000100애니카랜드032-511-80279시간
124125민간개방부평테크노타워인천광역시 부평구 새벌로 29인천광역시 부평구 청천동 419-2043100041부평테크노타워032-724-805524시간
125126민간개방남광센트렉스인천광역시 부평구 부평대로 301인천광역시 부평구 청천동 440-4460000600남광센트렉스032-363-399924시간
126127민간개방신선설농탕 부평점인천광역시 부평구 장제로206(부평동)인천광역시 부평구 부평동 10-868220011201신선설렁탕 부평점032-514-396624시간
127128민간개방인천나누리병원인천광역시 부평구 장제로 156(부평동)인천광역시 부평구 부평동 124-5121000310의료법인 나누리의료재단032-280-112306:30~22:00