Overview

Dataset statistics

Number of variables9
Number of observations48
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.6 KiB
Average record size in memory75.8 B

Variable types

Numeric1
Categorical3
Text4
DateTime1

Dataset

Description인천시 공동육아, 공동돌봄 체계 구축을 위한 생활밀착형 공동육아시설(인천형 공동육아나눔터로, 0~5세 전용 전문육아시설) 데이터입니다. -항목명 : 연번 군구 시설명 소재지 연락처 전용면적(제곱미터) 휴무일 개소일 진행사항
Author인천광역시
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15074838&srcSe=7661IVAWM27C61E190

Alerts

진행사항 is highly overall correlated with 군구 and 1 other fieldsHigh correlation
휴무일 is highly overall correlated with 군구 and 1 other fieldsHigh correlation
연번 is highly overall correlated with 군구High correlation
군구 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
휴무일 is highly imbalanced (75.1%)Imbalance
진행사항 is highly imbalanced (85.4%)Imbalance
연번 has unique valuesUnique
시설명 has unique valuesUnique
소재지 has unique valuesUnique
연락처 has unique valuesUnique

Reproduction

Analysis started2024-01-28 07:50:01.648389
Analysis finished2024-01-28 07:50:02.319636
Duration0.67 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.5
Minimum1
Maximum48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-01-28T16:50:02.391520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.35
Q112.75
median24.5
Q336.25
95-th percentile45.65
Maximum48
Range47
Interquartile range (IQR)23.5

Descriptive statistics

Standard deviation14
Coefficient of variation (CV)0.57142857
Kurtosis-1.2
Mean24.5
Median Absolute Deviation (MAD)12
Skewness0
Sum1176
Variance196
MonotonicityStrictly increasing
2024-01-28T16:50:02.515512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
1 1
 
2.1%
26 1
 
2.1%
28 1
 
2.1%
29 1
 
2.1%
30 1
 
2.1%
31 1
 
2.1%
32 1
 
2.1%
33 1
 
2.1%
34 1
 
2.1%
35 1
 
2.1%
Other values (38) 38
79.2%
ValueCountFrequency (%)
1 1
2.1%
2 1
2.1%
3 1
2.1%
4 1
2.1%
5 1
2.1%
6 1
2.1%
7 1
2.1%
8 1
2.1%
9 1
2.1%
10 1
2.1%
ValueCountFrequency (%)
48 1
2.1%
47 1
2.1%
46 1
2.1%
45 1
2.1%
44 1
2.1%
43 1
2.1%
42 1
2.1%
41 1
2.1%
40 1
2.1%
39 1
2.1%

군구
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)22.9%
Missing0
Missing (%)0.0%
Memory size516.0 B
남동구
12 
연수구
9 
서구
8 
미추홀구
6 
계양구
4 
Other values (6)
9 

Length

Max length4
Median length3
Mean length2.8958333
Min length2

Unique

Unique4 ?
Unique (%)8.3%

Sample

1st row중구
2nd row중구
3rd row중구
4th row동구
5th row미추홀구

Common Values

ValueCountFrequency (%)
남동구 12
25.0%
연수구 9
18.8%
서구 8
16.7%
미추홀구 6
12.5%
계양구 4
 
8.3%
부평구 3
 
6.2%
중구 2
 
4.2%
중구 1
 
2.1%
동구 1
 
2.1%
강화군 1
 
2.1%

Length

2024-01-28T16:50:02.651741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
남동구 12
25.0%
연수구 9
18.8%
서구 8
16.7%
미추홀구 6
12.5%
계양구 4
 
8.3%
부평구 3
 
6.2%
중구 3
 
6.2%
동구 1
 
2.1%
강화군 1
 
2.1%
옹진군 1
 
2.1%

시설명
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-01-28T16:50:02.877734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length11.395833
Min length10

Characters and Unicode

Total characters547
Distinct characters79
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

Unique48 ?
Unique (%)100.0%

Sample

1st row중구1호점(운서동)
2nd row중구2호점(신흥동)
3rd row중구3호점(영종1동)
4th row동구1호점(송림동)
5th row미추홀구1호점(도화2,3동)
ValueCountFrequency (%)
중구1호점(운서동 1
 
2.1%
중구2호점(신흥동 1
 
2.1%
계양구2호점(용종동 1
 
2.1%
남동구8호점(만수동 1
 
2.1%
남동구9호점(구월동 1
 
2.1%
남동구10호점(남촌도림 1
 
2.1%
남동구11호점(만수5동 1
 
2.1%
남동구12호점(간석4동 1
 
2.1%
부평구1호점(산곡점 1
 
2.1%
부평구2호점(열우물점 1
 
2.1%
Other values (38) 38
79.2%
2024-01-28T16:50:03.159367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 59
 
10.8%
점 50
 
9.1%
호 48
 
8.8%
( 48
 
8.8%
) 48
 
8.8%
구 48
 
8.8%
1 22
 
4.0%
수 15
 
2.7%
2 13
 
2.4%
연 13
 
2.4%
Other values (69) 183
33.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 380
69.5%
Decimal Number 70
 
12.8%
Open Punctuation 48
 
8.8%
Close Punctuation 48
 
8.8%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 59
15.5%
점 50
13.2%
호 48
12.6%
구 48
12.6%
수 15
 
3.9%
연 13
 
3.4%
남 13
 
3.4%
서 10
 
2.6%
홀 6
 
1.6%
추 6
 
1.6%
Other values (56) 112
29.5%
Decimal Number
ValueCountFrequency (%)
1 22
31.4%
2 13
18.6%
3 10
14.3%
4 6
 
8.6%
6 5
 
7.1%
5 5
 
7.1%
7 3
 
4.3%
8 3
 
4.3%
9 2
 
2.9%
0 1
 
1.4%
Open Punctuation
ValueCountFrequency (%)
( 48
100.0%
Close Punctuation
ValueCountFrequency (%)
) 48
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 380
69.5%
Common 167
30.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 59
15.5%
점 50
13.2%
호 48
12.6%
구 48
12.6%
수 15
 
3.9%
연 13
 
3.4%
남 13
 
3.4%
서 10
 
2.6%
홀 6
 
1.6%
추 6
 
1.6%
Other values (56) 112
29.5%
Common
ValueCountFrequency (%)
( 48
28.7%
) 48
28.7%
1 22
13.2%
2 13
 
7.8%
3 10
 
6.0%
4 6
 
3.6%
6 5
 
3.0%
5 5
 
3.0%
7 3
 
1.8%
8 3
 
1.8%
Other values (3) 4
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 380
69.5%
ASCII 167
30.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 59
15.5%
점 50
13.2%
호 48
12.6%
구 48
12.6%
수 15
 
3.9%
연 13
 
3.4%
남 13
 
3.4%
서 10
 
2.6%
홀 6
 
1.6%
추 6
 
1.6%
Other values (56) 112
29.5%
ASCII
ValueCountFrequency (%)
( 48
28.7%
) 48
28.7%
1 22
13.2%
2 13
 
7.8%
3 10
 
6.0%
4 6
 
3.6%
6 5
 
3.0%
5 5
 
3.0%
7 3
 
1.8%
8 3
 
1.8%
Other values (3) 4
 
2.4%

소재지
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-01-28T16:50:03.392609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length32
Mean length26.291667
Min length11

Characters and Unicode

Total characters1262
Distinct characters201
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

Unique48 ?
Unique (%)100.0%

Sample

1st row신도시남로 15, 103동104호(운서동, 금호베스트빌)
2nd row중구 제물량로113번길 16, 202호
3rd row은하수로 380, 영종하늘도시 KCC 스위첸 관리동
4th row염전로40번길 70 주민행복센터 2층
5th row숙골로112번길 12 403동 지하1층
ValueCountFrequency (%)
1층 12
 
5.1%
2층 5
 
2.1%
관리동 5
 
2.1%
101동 4
 
1.7%
주민공동시설 4
 
1.7%
105동 3
 
1.3%
28번길 3
 
1.3%
아파트 3
 
1.3%
학익동 2
 
0.9%
지하1층 2
 
0.9%
Other values (184) 192
81.7%
2024-01-28T16:50:03.732835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
188
 
14.9%
1 99
 
7.8%
동 59
 
4.7%
로 49
 
3.9%
0 46
 
3.6%
2 43
 
3.4%
, 34
 
2.7%
3 25
 
2.0%
번 21
 
1.7%
층 21
 
1.7%
Other values (191) 677
53.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 695
55.1%
Decimal Number 299
23.7%
Space Separator 188
 
14.9%
Other Punctuation 35
 
2.8%
Close Punctuation 18
 
1.4%
Open Punctuation 18
 
1.4%
Uppercase Letter 6
 
0.5%
Dash Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 59
 
8.5%
로 49
 
7.1%
번 21
 
3.0%
층 21
 
3.0%
길 21
 
3.0%
호 19
 
2.7%
트 18
 
2.6%
아 17
 
2.4%
파 14
 
2.0%
지 13
 
1.9%
Other values (170) 443
63.7%
Decimal Number
ValueCountFrequency (%)
1 99
33.1%
0 46
15.4%
2 43
14.4%
3 25
 
8.4%
4 20
 
6.7%
6 15
 
5.0%
8 14
 
4.7%
5 13
 
4.3%
9 13
 
4.3%
7 11
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
C 2
33.3%
L 1
16.7%
H 1
16.7%
A 1
16.7%
K 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 34
97.1%
. 1
 
2.9%
Space Separator
ValueCountFrequency (%)
188
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 695
55.1%
Common 561
44.5%
Latin 6
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 59
 
8.5%
로 49
 
7.1%
번 21
 
3.0%
층 21
 
3.0%
길 21
 
3.0%
호 19
 
2.7%
트 18
 
2.6%
아 17
 
2.4%
파 14
 
2.0%
지 13
 
1.9%
Other values (170) 443
63.7%
Common
ValueCountFrequency (%)
188
33.5%
1 99
17.6%
0 46
 
8.2%
2 43
 
7.7%
, 34
 
6.1%
3 25
 
4.5%
4 20
 
3.6%
) 18
 
3.2%
( 18
 
3.2%
6 15
 
2.7%
Other values (6) 55
 
9.8%
Latin
ValueCountFrequency (%)
C 2
33.3%
L 1
16.7%
H 1
16.7%
A 1
16.7%
K 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 695
55.1%
ASCII 567
44.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
188
33.2%
1 99
17.5%
0 46
 
8.1%
2 43
 
7.6%
, 34
 
6.0%
3 25
 
4.4%
4 20
 
3.5%
) 18
 
3.2%
( 18
 
3.2%
6 15
 
2.6%
Other values (11) 61
 
10.8%
Hangul
ValueCountFrequency (%)
동 59
 
8.5%
로 49
 
7.1%
번 21
 
3.0%
층 21
 
3.0%
길 21
 
3.0%
호 19
 
2.7%
트 18
 
2.6%
아 17
 
2.4%
파 14
 
2.0%
지 13
 
1.9%
Other values (170) 443
63.7%

연락처
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-01-28T16:50:03.920786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.833333
Min length3

Characters and Unicode

Total characters568
Distinct characters15
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

Unique48 ?
Unique (%)100.0%

Sample

1st row032-746-1010
2nd row032-777-1920
3rd row032-746-3031
4th row032-764-7460
5th row032-872-1255
ValueCountFrequency (%)
032-746-1010 1
 
2.1%
032-777-1920 1
 
2.1%
032-548-7772 1
 
2.1%
032-464-2141 1
 
2.1%
032-473-8270 1
 
2.1%
032-464-5001 1
 
2.1%
032-472-9966 1
 
2.1%
032-432-0120 1
 
2.1%
032-529-1377 1
 
2.1%
032-511-1217 1
 
2.1%
Other values (38) 38
79.2%
2024-01-28T16:50:04.189526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 94
16.5%
2 87
15.3%
0 70
12.3%
3 70
12.3%
7 55
9.7%
1 41
7.2%
4 39
6.9%
5 38
6.7%
6 29
 
5.1%
8 26
 
4.6%
Other values (5) 19
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 470
82.7%
Dash Punctuation 94
 
16.5%
Other Letter 3
 
0.5%
Control 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 87
18.5%
0 70
14.9%
3 70
14.9%
7 55
11.7%
1 41
8.7%
4 39
8.3%
5 38
8.1%
6 29
 
6.2%
8 26
 
5.5%
9 15
 
3.2%
Other Letter
ValueCountFrequency (%)
준 1
33.3%
비 1
33.3%
중 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 94
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 565
99.5%
Hangul 3
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
- 94
16.6%
2 87
15.4%
0 70
12.4%
3 70
12.4%
7 55
9.7%
1 41
7.3%
4 39
6.9%
5 38
6.7%
6 29
 
5.1%
8 26
 
4.6%
Other values (2) 16
 
2.8%
Hangul
ValueCountFrequency (%)
준 1
33.3%
비 1
33.3%
중 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 565
99.5%
Hangul 3
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 94
16.6%
2 87
15.4%
0 70
12.4%
3 70
12.4%
7 55
9.7%
1 41
7.3%
4 39
6.9%
5 38
6.7%
6 29
 
5.1%
8 26
 
4.6%
Other values (2) 16
 
2.8%
Hangul
ValueCountFrequency (%)
준 1
33.3%
비 1
33.3%
중 1
33.3%

전용면적(제곱미터)
Text

Distinct47
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-01-28T16:50:04.379006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length4.1666667
Min length2

Characters and Unicode

Total characters200
Distinct characters14
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

Unique46 ?
Unique (%)95.8%

Sample

1st row84.2
2nd row83.7
3rd row143.577
4th row170
5th row118.72
ValueCountFrequency (%)
66 2
 
4.2%
89 1
 
2.1%
86 1
 
2.1%
115.62 1
 
2.1%
132 1
 
2.1%
70 1
 
2.1%
90 1
 
2.1%
127.29 1
 
2.1%
110 1
 
2.1%
107 1
 
2.1%
Other values (37) 37
77.1%
2024-01-28T16:50:04.637139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 44
22.0%
. 28
14.0%
8 19
9.5%
9 17
 
8.5%
4 16
 
8.0%
7 15
 
7.5%
2 15
 
7.5%
6 13
 
6.5%
0 11
 
5.5%
5 10
 
5.0%
Other values (4) 12
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 169
84.5%
Other Punctuation 28
 
14.0%
Other Letter 3
 
1.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 44
26.0%
8 19
11.2%
9 17
 
10.1%
4 16
 
9.5%
7 15
 
8.9%
2 15
 
8.9%
6 13
 
7.7%
0 11
 
6.5%
5 10
 
5.9%
3 9
 
5.3%
Other Letter
ValueCountFrequency (%)
준 1
33.3%
비 1
33.3%
중 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 197
98.5%
Hangul 3
 
1.5%

Most frequent character per script

Common
ValueCountFrequency (%)
1 44
22.3%
. 28
14.2%
8 19
9.6%
9 17
 
8.6%
4 16
 
8.1%
7 15
 
7.6%
2 15
 
7.6%
6 13
 
6.6%
0 11
 
5.6%
5 10
 
5.1%
Hangul
ValueCountFrequency (%)
준 1
33.3%
비 1
33.3%
중 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 197
98.5%
Hangul 3
 
1.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 44
22.3%
. 28
14.2%
8 19
9.6%
9 17
 
8.6%
4 16
 
8.1%
7 15
 
7.6%
2 15
 
7.6%
6 13
 
6.6%
0 11
 
5.6%
5 10
 
5.1%
Hangul
ValueCountFrequency (%)
준 1
33.3%
비 1
33.3%
중 1
33.3%

휴무일
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
월요일, 일요일
45 
토요일, 일요일
 
2
준비중
 
1

Length

Max length8
Median length8
Mean length7.8958333
Min length3

Unique

Unique1 ?
Unique (%)2.1%

Sample

1st row월요일, 일요일
2nd row월요일, 일요일
3rd row월요일, 일요일
4th row월요일, 일요일
5th row월요일, 일요일

Common Values

ValueCountFrequency (%)
월요일, 일요일 45
93.8%
토요일, 일요일 2
 
4.2%
준비중 1
 
2.1%

Length

2024-01-28T16:50:04.741723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T16:50:04.812580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일요일 47
49.5%
월요일 45
47.4%
토요일 2
 
2.1%
준비중 1
 
1.1%

개소일
Date

Distinct33
Distinct (%)68.8%
Missing0
Missing (%)0.0%
Memory size516.0 B
Minimum2019-12-02 00:00:00
Maximum2023-08-23 00:00:00
2024-01-28T16:50:04.885064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T16:50:04.999414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)

진행사항
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
운영중
47 
준비중
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
운영중 47
97.9%
준비중 1
 
2.1%

Length

2024-01-28T16:50:05.095929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T16:50:05.162429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 47
97.9%
준비중 1
 
2.1%

Interactions

2024-01-28T16:50:02.081739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T16:50:05.208921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번군구시설명소재지연락처전용면적(제곱미터)휴무일개소일진행사항
연번1.0000.8961.0001.0001.0000.9200.0000.9690.000
군구0.8961.0001.0001.0001.0001.0000.7970.9901.000
시설명1.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.0001.0001.0001.0001.000
연락처1.0001.0001.0001.0001.0001.0001.0001.0001.000
전용면적(제곱미터)0.9201.0001.0001.0001.0001.0001.0000.9491.000
휴무일0.0000.7971.0001.0001.0001.0001.0001.0001.000
개소일0.9690.9901.0001.0001.0000.9491.0001.0001.000
진행사항0.0001.0001.0001.0001.0001.0001.0001.0001.000
2024-01-28T16:50:05.302640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
진행사항휴무일군구
진행사항1.0000.9890.897
휴무일0.9891.0000.606
군구0.8970.6061.000
2024-01-28T16:50:05.383687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번군구휴무일진행사항
연번1.0000.6550.0000.000
군구0.6551.0000.6060.897
휴무일0.0000.6061.0000.989
진행사항0.0000.8970.9891.000

Missing values

2024-01-28T16:50:02.177515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T16:50:02.279403image/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

연번군구시설명소재지연락처전용면적(제곱미터)휴무일개소일진행사항
01중구중구1호점(운서동)신도시남로 15, 103동104호(운서동, 금호베스트빌)032-746-101084.2월요일, 일요일2021-12-28운영중
12중구중구2호점(신흥동)중구 제물량로113번길 16, 202호032-777-192083.7월요일, 일요일2021-12-28운영중
23중구중구3호점(영종1동)은하수로 380, 영종하늘도시 KCC 스위첸 관리동032-746-3031143.577월요일, 일요일2022-12-06운영중
34동구동구1호점(송림동)염전로40번길 70 주민행복센터 2층032-764-7460170월요일, 일요일2020-09-01운영중
45미추홀구미추홀구1호점(도화2,3동)숙골로112번길 12 403동 지하1층032-872-1255118.72월요일, 일요일2020-02-05운영중
56미추홀구미추홀구2호점(학익1동)노적산로 43 학익동, 두산위브 101동 1층032-874-8180161.7월요일, 일요일2020-10-06운영중
67미추홀구미추홀구3호점(학익2동)재넘이길9번길 6 206호 (학익동)032-872-317972.4월요일, 일요일2021-10-15운영중
78미추홀구미추홀구4호점(도화1동)수봉북로12번길 8 도화해드림 1차 가동 지하 1층032-874-4579271.16월요일, 일요일2021-11-30운영중
89미추홀구미추홀구5호점(문학동)소성로294번길 13-41032-441-4077169월요일, 일요일2022-10-14운영중
910미추홀구미추홀구6호점(주안6동)경인로471번길 60032-437-0508149월요일, 일요일2022-10-26운영중
연번군구시설명소재지연락처전용면적(제곱미터)휴무일개소일진행사항
3839서구서구1호점(신현동)봉오재1로 36 루원시티 센트럴타운 아파트 공동시설내032-583-5275132.14월요일, 일요일2019-12-17운영중
3940서구서구2호점(검암동)승학로495번길 7, 107동 103호(검암, 서해그랑블)032-567-527590.34월요일, 일요일2021-06-22운영중
4041서구서구3호점(가좌동)장고개로 309번길29, 305동 101호(가좌, 진주아파트)032-579-527591.95월요일, 일요일2021-06-22운영중
4142서구서구4호점(청라동)청라한내로 40, 청라호수공원한신더휴 주민공동시설032-563-6275121월요일, 일요일2021-11-02운영중
4243서구서구5호점(가좌1동)가정로151번길 4, 101동 106호107호032-577-3026114월요일, 일요일2022-10-05운영중
4344서구서구6호점(연희동)탁옥로97번길 16-6, 1층032-567-5291151월요일, 일요일2022-11-01운영중
4445서구서구7호점(당하동)서로3로 49, 주민 공동시설(당하동 산 31)032-567-6078102.82월요일, 일요일2023-02-14운영중
4546서구서구8호점(원당동)이음3로 220(원당동, 검단LH20단지내)032-561-7871181.4월요일, 일요일2023-02-14운영중
4647강화군강화군1호점(강화읍)강화읍 남문로 19, 1층032-934-399844.7월요일, 일요일2023-05-23운영중
4748옹진군옹진군1호점(영흥면)영흥면 내리 61번지 일원 옹진가족돌봄문화센터준비중준비중준비중2023-08-23준비중