Overview

Dataset statistics

Number of variables5
Number of observations23
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.0 KiB
Average record size in memory46.7 B

Variable types

Numeric1
Categorical1
Text3

Dataset

Description인천광역시 부평구 수유실 현황 데이터는 수유실 장소명, 수유실 주소, 해당 시설 연락처에 대한 데이터를 제공합니다.
Author인천광역시 부평구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15102567&srcSe=7661IVAWM27C61E190

Alerts

종별 has constant value ""Constant
순번 has unique valuesUnique
장소명 has unique valuesUnique

Reproduction

Analysis started2024-03-18 05:09:45.382000
Analysis finished2024-03-18 05:09:46.275420
Duration0.89 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12
Minimum1
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-03-18T14:09:46.334293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.1
Q16.5
median12
Q317.5
95-th percentile21.9
Maximum23
Range22
Interquartile range (IQR)11

Descriptive statistics

Standard deviation6.78233
Coefficient of variation (CV)0.56519417
Kurtosis-1.2
Mean12
Median Absolute Deviation (MAD)6
Skewness0
Sum276
Variance46
MonotonicityStrictly increasing
2024-03-18T14:09:46.430530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1 1
 
4.3%
2 1
 
4.3%
23 1
 
4.3%
22 1
 
4.3%
21 1
 
4.3%
20 1
 
4.3%
19 1
 
4.3%
18 1
 
4.3%
17 1
 
4.3%
16 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
1 1
4.3%
2 1
4.3%
3 1
4.3%
4 1
4.3%
5 1
4.3%
6 1
4.3%
7 1
4.3%
8 1
4.3%
9 1
4.3%
10 1
4.3%
ValueCountFrequency (%)
23 1
4.3%
22 1
4.3%
21 1
4.3%
20 1
4.3%
19 1
4.3%
18 1
4.3%
17 1
4.3%
16 1
4.3%
15 1
4.3%
14 1
4.3%

종별
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
수유실
23 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수유실 23
100.0%

Length

2024-03-18T14:09:46.530102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T14:09:46.621596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수유실 23
100.0%

장소명
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-03-18T14:09:46.780198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length9.1304348
Min length4

Characters and Unicode

Total characters210
Distinct characters69
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

Unique23 ?
Unique (%)100.0%

Sample

1st row부개도서관
2nd row서울교통공사7호선부평구청역
3rd row서울교통공사7호선삼산체육관역
4th row2001아울렛부평점
5th row서울교통공사7호선굴포천역
ValueCountFrequency (%)
부개도서관 1
 
4.0%
부평아트센터 1
 
4.0%
인천메트로 1
 
4.0%
아울렛 1
 
4.0%
아이즈빌 1
 
4.0%
인천메트로부평역 1
 
4.0%
인천메트로부평시장역 1
 
4.0%
도담도담장난월드감부개점 1
 
4.0%
도담도담장난감월드부평구청역점 1
 
4.0%
부평굴포누리기후변화체험관 1
 
4.0%
Other values (15) 15
60.0%
2024-03-18T14:09:47.104214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
부 18
 
8.6%
평 16
 
7.6%
역 8
 
3.8%
트 7
 
3.3%
구 7
 
3.3%
도 6
 
2.9%
점 6
 
2.9%
청 6
 
2.9%
서 5
 
2.4%
울 5
 
2.4%
Other values (59) 126
60.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 200
95.2%
Decimal Number 8
 
3.8%
Space Separator 2
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 18
 
9.0%
평 16
 
8.0%
역 8
 
4.0%
트 7
 
3.5%
구 7
 
3.5%
도 6
 
3.0%
점 6
 
3.0%
청 6
 
3.0%
서 5
 
2.5%
울 5
 
2.5%
Other values (54) 116
58.0%
Decimal Number
ValueCountFrequency (%)
7 3
37.5%
2 2
25.0%
0 2
25.0%
1 1
 
12.5%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 200
95.2%
Common 10
 
4.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 18
 
9.0%
평 16
 
8.0%
역 8
 
4.0%
트 7
 
3.5%
구 7
 
3.5%
도 6
 
3.0%
점 6
 
3.0%
청 6
 
3.0%
서 5
 
2.5%
울 5
 
2.5%
Other values (54) 116
58.0%
Common
ValueCountFrequency (%)
7 3
30.0%
2
20.0%
2 2
20.0%
0 2
20.0%
1 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 200
95.2%
ASCII 10
 
4.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
부 18
 
9.0%
평 16
 
8.0%
역 8
 
4.0%
트 7
 
3.5%
구 7
 
3.5%
도 6
 
3.0%
점 6
 
3.0%
청 6
 
3.0%
서 5
 
2.5%
울 5
 
2.5%
Other values (54) 116
58.0%
ASCII
ValueCountFrequency (%)
7 3
30.0%
2
20.0%
2 2
20.0%
0 2
20.0%
1 1
 
10.0%

소재지
Text

Distinct22
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-03-18T14:09:47.310956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length36
Mean length31.913043
Min length16

Characters and Unicode

Total characters734
Distinct characters95
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

Unique21 ?
Unique (%)91.3%

Sample

1st row인천광역시 부평구 부일로83번길 46 (부개동, 부개도서관)
2nd row인천광역시 부평구 부평대로 지하 189 (청천동, 부평구청역)
3rd row인천광역시 부평구 길주로 지하 713 (삼산동, 삼산체육관역 7호선)
4th row인천광역시 부평구 경원대로 1277 (산곡동, 2001아울렛부평점)
5th row인천광역시 부평구 길주로 지하 623 (삼산동, 굴포천 7호선)
ValueCountFrequency (%)
부평구 25
 
17.4%
인천광역시 23
 
16.0%
부평대로 5
 
3.5%
부평동 5
 
3.5%
지하 5
 
3.5%
삼산동 4
 
2.8%
길주로 4
 
2.8%
7호선 3
 
2.1%
청천동 3
 
2.1%
부개동 3
 
2.1%
Other values (53) 64
44.4%
2024-03-18T14:09:47.660511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
123
 
16.8%
부 52
 
7.1%
평 46
 
6.3%
구 29
 
4.0%
천 28
 
3.8%
역 28
 
3.8%
광 25
 
3.4%
시 24
 
3.3%
로 23
 
3.1%
인 23
 
3.1%
Other values (85) 333
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 474
64.6%
Space Separator 123
 
16.8%
Decimal Number 77
 
10.5%
Close Punctuation 20
 
2.7%
Open Punctuation 20
 
2.7%
Other Punctuation 20
 
2.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 52
 
11.0%
평 46
 
9.7%
구 29
 
6.1%
천 28
 
5.9%
역 28
 
5.9%
광 25
 
5.3%
시 24
 
5.1%
로 23
 
4.9%
인 23
 
4.9%
동 22
 
4.6%
Other values (71) 174
36.7%
Decimal Number
ValueCountFrequency (%)
1 16
20.8%
6 15
19.5%
7 9
11.7%
2 9
11.7%
9 6
 
7.8%
8 6
 
7.8%
4 5
 
6.5%
3 5
 
6.5%
5 3
 
3.9%
0 3
 
3.9%
Space Separator
ValueCountFrequency (%)
123
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Other Punctuation
ValueCountFrequency (%)
, 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 474
64.6%
Common 260
35.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 52
 
11.0%
평 46
 
9.7%
구 29
 
6.1%
천 28
 
5.9%
역 28
 
5.9%
광 25
 
5.3%
시 24
 
5.1%
로 23
 
4.9%
인 23
 
4.9%
동 22
 
4.6%
Other values (71) 174
36.7%
Common
ValueCountFrequency (%)
123
47.3%
) 20
 
7.7%
( 20
 
7.7%
, 20
 
7.7%
1 16
 
6.2%
6 15
 
5.8%
7 9
 
3.5%
2 9
 
3.5%
9 6
 
2.3%
8 6
 
2.3%
Other values (4) 16
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 474
64.6%
ASCII 260
35.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
123
47.3%
) 20
 
7.7%
( 20
 
7.7%
, 20
 
7.7%
1 16
 
6.2%
6 15
 
5.8%
7 9
 
3.5%
2 9
 
3.5%
9 6
 
2.3%
8 6
 
2.3%
Other values (4) 16
 
6.2%
Hangul
ValueCountFrequency (%)
부 52
 
11.0%
평 46
 
9.7%
구 29
 
6.1%
천 28
 
5.9%
역 28
 
5.9%
광 25
 
5.3%
시 24
 
5.1%
로 23
 
4.9%
인 23
 
4.9%
동 22
 
4.6%
Other values (71) 174
36.7%

연락처
Text

Distinct22
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-03-18T14:09:47.831034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters276
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

Unique21 ?
Unique (%)91.3%

Sample

1st row032-505-0062
2nd row02-6311-7591
3rd row02-6311-7571
4th row032-363-5408
5th row02-6311-7581
ValueCountFrequency (%)
032-509-6123 2
 
8.7%
032-505-0062 1
 
4.3%
032-500-2000 1
 
4.3%
032-270-2000 1
 
4.3%
032-515-9103 1
 
4.3%
032-512-3119 1
 
4.3%
032-515-0252 1
 
4.3%
032-529-0252 1
 
4.3%
032-509-3903 1
 
4.3%
032-509-5040 1
 
4.3%
Other values (12) 12
52.2%
2024-03-18T14:09:48.088044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 60
21.7%
- 46
16.7%
2 41
14.9%
3 35
12.7%
5 31
11.2%
1 23
 
8.3%
9 13
 
4.7%
6 12
 
4.3%
7 5
 
1.8%
4 5
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 230
83.3%
Dash Punctuation 46
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 60
26.1%
2 41
17.8%
3 35
15.2%
5 31
13.5%
1 23
 
10.0%
9 13
 
5.7%
6 12
 
5.2%
7 5
 
2.2%
4 5
 
2.2%
8 5
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 276
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 60
21.7%
- 46
16.7%
2 41
14.9%
3 35
12.7%
5 31
11.2%
1 23
 
8.3%
9 13
 
4.7%
6 12
 
4.3%
7 5
 
1.8%
4 5
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 276
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 60
21.7%
- 46
16.7%
2 41
14.9%
3 35
12.7%
5 31
11.2%
1 23
 
8.3%
9 13
 
4.7%
6 12
 
4.3%
7 5
 
1.8%
4 5
 
1.8%

Interactions

2024-03-18T14:09:46.034646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T14:09:48.171468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번장소명소재지연락처
순번1.0001.0000.9250.925
장소명1.0001.0001.0001.000
소재지0.9251.0001.0001.000
연락처0.9251.0001.0001.000

Missing values

2024-03-18T14:09:46.130004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T14:09:46.238804image/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

순번종별장소명소재지연락처
01수유실부개도서관인천광역시 부평구 부일로83번길 46 (부개동, 부개도서관)032-505-0062
12수유실서울교통공사7호선부평구청역인천광역시 부평구 부평대로 지하 189 (청천동, 부평구청역)02-6311-7591
23수유실서울교통공사7호선삼산체육관역인천광역시 부평구 길주로 지하 713 (삼산동, 삼산체육관역 7호선)02-6311-7571
34수유실2001아울렛부평점인천광역시 부평구 경원대로 1277 (산곡동, 2001아울렛부평점)032-363-5408
45수유실서울교통공사7호선굴포천역인천광역시 부평구 길주로 지하 623 (삼산동, 굴포천 7호선)02-6311-7581
56수유실롯데마트부평역점인천광역시 부평구 광장로 16032-454-2500
67수유실부평기적의도서관인천광역시 부평구 길주남로 166 (부개동, 부평기적의도서관)032-506-0612
78수유실롯데마트삼산점인천광역시 부평구 길주로 623 (삼산동, 대덕리치아노)032-363-2500
89수유실롯데마트부평점인천광역시 부평구 마장로 296 (산곡동, 롯데마트 부평점)032-509-2500
910수유실청천보건지소인천광역시 부평구 마장로410번길 5 (청천동, 청천2동주민센터)032-509-8256
순번종별장소명소재지연락처
1314수유실부평아트센터인천광역시 부평구 아트센터로 166 (십정동, 부평아트센터)032-500-2000
1415수유실국민건강보험공단부평지사인천광역시 부평구 안남로434번길 11 (청천동, 국민건강보험공단부평지사)032-509-4116
1516수유실부평구여성센터인천광역시 부평구 후정동로 6 (삼산동, 부평구 자활센터)032-509-5040
1617수유실부평굴포누리기후변화체험관인천광역시 부평구 장제로 267 (갈산동, 갈산배수펌프장)032-509-3903
1718수유실도담도담장난감월드부평구청역점인천광역시 부평구 길주로 지하 527 (갈산동, 부평구청역 7호선)032-529-0252
1819수유실도담도담장난월드감부개점인천광역시 부평구 수변로 175 (부개동, 자원재활용센터)032-515-0252
1920수유실인천메트로부평시장역인천광역시 부평구 부평대로 지하 69 (부평동, 부평시장역)032-512-3119
2021수유실인천메트로부평역인천광역시 부평구 광장로 16 (부평동, 부평민자역사)032-515-9103
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