Overview

Dataset statistics

Number of variables7
Number of observations24
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory63.5 B

Variable types

Numeric2
Categorical2
Text3

Dataset

Description인천광역시 소재 산후조리원 현황(업체명, 주소, 전화번호, 운영형태, 임산부실) 데이터 기준일(2022-12-27일자로 작성되었습니다 )
Author인천광역시
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15074784&srcSe=7661IVAWM27C61E190

Alerts

연번 is highly overall correlated with 시군구High correlation
시군구 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
주소 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-01-28 15:03:53.996847
Analysis finished2024-01-28 15:03:54.723089
Duration0.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.5
Minimum1
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-01-29T00:03:54.781398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.15
Q16.75
median12.5
Q318.25
95-th percentile22.85
Maximum24
Range23
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation7.0710678
Coefficient of variation (CV)0.56568542
Kurtosis-1.2
Mean12.5
Median Absolute Deviation (MAD)6
Skewness0
Sum300
Variance50
MonotonicityStrictly increasing
2024-01-29T00:03:54.888686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1 1
 
4.2%
14 1
 
4.2%
24 1
 
4.2%
23 1
 
4.2%
22 1
 
4.2%
21 1
 
4.2%
20 1
 
4.2%
19 1
 
4.2%
18 1
 
4.2%
17 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
1 1
4.2%
2 1
4.2%
3 1
4.2%
4 1
4.2%
5 1
4.2%
6 1
4.2%
7 1
4.2%
8 1
4.2%
9 1
4.2%
10 1
4.2%
ValueCountFrequency (%)
24 1
4.2%
23 1
4.2%
22 1
4.2%
21 1
4.2%
20 1
4.2%
19 1
4.2%
18 1
4.2%
17 1
4.2%
16 1
4.2%
15 1
4.2%

시군구
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
서구
7 
미추홀구
5 
연수구
4 
남동구
4 
부평구
2 

Length

Max length4
Median length3.5
Mean length2.9166667
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서구 7
29.2%
미추홀구 5
20.8%
연수구 4
16.7%
남동구 4
16.7%
부평구 2
 
8.3%
계양구 2
 
8.3%

Length

2024-01-29T00:03:55.007993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T00:03:55.115804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서구 7
29.2%
미추홀구 5
20.8%
연수구 4
16.7%
남동구 4
16.7%
부평구 2
 
8.3%
계양구 2
 
8.3%

산후조리원명
Text

Distinct23
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-01-29T00:03:55.286284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length8.0833333
Min length6

Characters and Unicode

Total characters194
Distinct characters54
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)91.7%

Sample

1st row고은산후조리원
2nd rowW산후조리원
3rd row아인의료재단 서울산후조리원
4th row아이미즈산후조리원
5th row아이소망산후조리원
ValueCountFrequency (%)
아이미즈산후조리원 2
 
7.7%
허브산후조리원 2
 
7.7%
고은산후조리원 1
 
3.8%
새봄산후조리원 1
 
3.8%
크리스탈산후조리원 1
 
3.8%
뉴마더맘산후조리원 1
 
3.8%
그린산후조리원 1
 
3.8%
청라산후조리원 1
 
3.8%
탑산후조리원 1
 
3.8%
마리아산후조리원 1
 
3.8%
Other values (14) 14
53.8%
2024-01-29T00:03:55.582097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 28
14.4%
산 24
12.4%
후 24
12.4%
조 24
12.4%
원 24
12.4%
아 7
 
3.6%
이 5
 
2.6%
미 3
 
1.5%
마 3
 
1.5%
2
 
1.0%
Other values (44) 50
25.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 189
97.4%
Space Separator 2
 
1.0%
Uppercase Letter 2
 
1.0%
Decimal Number 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 28
14.8%
산 24
12.7%
후 24
12.7%
조 24
12.7%
원 24
12.7%
아 7
 
3.7%
이 5
 
2.6%
미 3
 
1.6%
마 3
 
1.6%
비 2
 
1.1%
Other values (40) 45
23.8%
Uppercase Letter
ValueCountFrequency (%)
W 1
50.0%
Y 1
50.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 189
97.4%
Common 3
 
1.5%
Latin 2
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 28
14.8%
산 24
12.7%
후 24
12.7%
조 24
12.7%
원 24
12.7%
아 7
 
3.7%
이 5
 
2.6%
미 3
 
1.6%
마 3
 
1.6%
비 2
 
1.1%
Other values (40) 45
23.8%
Common
ValueCountFrequency (%)
2
66.7%
2 1
33.3%
Latin
ValueCountFrequency (%)
W 1
50.0%
Y 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 189
97.4%
ASCII 5
 
2.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 28
14.8%
산 24
12.7%
후 24
12.7%
조 24
12.7%
원 24
12.7%
아 7
 
3.7%
이 5
 
2.6%
미 3
 
1.6%
마 3
 
1.6%
비 2
 
1.1%
Other values (40) 45
23.8%
ASCII
ValueCountFrequency (%)
2
40.0%
W 1
20.0%
2 1
20.0%
Y 1
20.0%

주소
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-01-29T00:03:55.786459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length26.5
Mean length22
Min length13

Characters and Unicode

Total characters528
Distinct characters110
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row인천 미추홀구 독배로 463
2nd row인천 미추홀구 인주대로 400
3rd row인천 미추홀구 경원대로 768(삼보빌딩), 766(서울빌딩)
4th row인천 미추홀구 경원대로 890 (보미리즌빌301,302호)
5th row인천 미추홀구 미추로 56
ValueCountFrequency (%)
인천 24
 
20.7%
서구 7
 
6.0%
미추홀구 5
 
4.3%
연수구 4
 
3.4%
남동구 4
 
3.4%
계양구 2
 
1.7%
4층 2
 
1.7%
7층 2
 
1.7%
장제로 2
 
1.7%
경원대로 2
 
1.7%
Other values (61) 62
53.4%
2024-01-29T00:03:56.107976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
95
 
18.0%
구 26
 
4.9%
인 25
 
4.7%
천 24
 
4.5%
로 22
 
4.2%
7 16
 
3.0%
층 14
 
2.7%
6 14
 
2.7%
2 14
 
2.7%
동 12
 
2.3%
Other values (100) 266
50.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 302
57.2%
Decimal Number 103
 
19.5%
Space Separator 95
 
18.0%
Close Punctuation 9
 
1.7%
Open Punctuation 9
 
1.7%
Other Punctuation 8
 
1.5%
Dash Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 26
 
8.6%
인 25
 
8.3%
천 24
 
7.9%
로 22
 
7.3%
층 14
 
4.6%
동 12
 
4.0%
서 8
 
2.6%
미 7
 
2.3%
빌 6
 
2.0%
추 6
 
2.0%
Other values (85) 152
50.3%
Decimal Number
ValueCountFrequency (%)
7 16
15.5%
6 14
13.6%
2 14
13.6%
1 12
11.7%
0 11
10.7%
4 9
8.7%
3 9
8.7%
8 8
7.8%
5 6
 
5.8%
9 4
 
3.9%
Space Separator
ValueCountFrequency (%)
95
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 302
57.2%
Common 226
42.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 26
 
8.6%
인 25
 
8.3%
천 24
 
7.9%
로 22
 
7.3%
층 14
 
4.6%
동 12
 
4.0%
서 8
 
2.6%
미 7
 
2.3%
빌 6
 
2.0%
추 6
 
2.0%
Other values (85) 152
50.3%
Common
ValueCountFrequency (%)
95
42.0%
7 16
 
7.1%
6 14
 
6.2%
2 14
 
6.2%
1 12
 
5.3%
0 11
 
4.9%
) 9
 
4.0%
4 9
 
4.0%
( 9
 
4.0%
3 9
 
4.0%
Other values (5) 28
 
12.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 302
57.2%
ASCII 226
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
95
42.0%
7 16
 
7.1%
6 14
 
6.2%
2 14
 
6.2%
1 12
 
5.3%
0 11
 
4.9%
) 9
 
4.0%
4 9
 
4.0%
( 9
 
4.0%
3 9
 
4.0%
Other values (5) 28
 
12.4%
Hangul
ValueCountFrequency (%)
구 26
 
8.6%
인 25
 
8.3%
천 24
 
7.9%
로 22
 
7.3%
층 14
 
4.6%
동 12
 
4.0%
서 8
 
2.6%
미 7
 
2.3%
빌 6
 
2.0%
추 6
 
2.0%
Other values (85) 152
50.3%

전화번호
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-01-29T00:03:56.286551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.041667
Min length12

Characters and Unicode

Total characters289
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

Unique24 ?
Unique (%)100.0%

Sample

1st row032-870-5314
2nd row032-341-3535
3rd row032-426-3005
4th row032-435-3575
5th row032-883-6376
ValueCountFrequency (%)
032-870-5314 1
 
4.2%
032-341-3535 1
 
4.2%
032-584-3535 1
 
4.2%
032-577-9990 1
 
4.2%
032-574-3661 1
 
4.2%
032-716-6006 1
 
4.2%
032-463-0118 1
 
4.2%
032-571-5667 1
 
4.2%
032-552-3500 1
 
4.2%
032-552-9696 1
 
4.2%
Other values (14) 14
58.3%
2024-01-29T00:03:56.549670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 48
16.6%
0 46
15.9%
3 42
14.5%
2 36
12.5%
5 32
11.1%
7 19
 
6.6%
6 18
 
6.2%
4 16
 
5.5%
1 15
 
5.2%
8 9
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 241
83.4%
Dash Punctuation 48
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 46
19.1%
3 42
17.4%
2 36
14.9%
5 32
13.3%
7 19
7.9%
6 18
 
7.5%
4 16
 
6.6%
1 15
 
6.2%
8 9
 
3.7%
9 8
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 289
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 48
16.6%
0 46
15.9%
3 42
14.5%
2 36
12.5%
5 32
11.1%
7 19
 
6.6%
6 18
 
6.2%
4 16
 
5.5%
1 15
 
5.2%
8 9
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 289
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 48
16.6%
0 46
15.9%
3 42
14.5%
2 36
12.5%
5 32
11.1%
7 19
 
6.6%
6 18
 
6.2%
4 16
 
5.5%
1 15
 
5.2%
8 9
 
3.1%

운영형태(단독_체인_병의원 직영)
Categorical

Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
단독
19 
병의원 직영
4 
병의원직영
 
1

Length

Max length6
Median length2
Mean length2.7916667
Min length2

Unique

Unique1 ?
Unique (%)4.2%

Sample

1st row단독
2nd row단독
3rd row병의원 직영
4th row단독
5th row병의원 직영

Common Values

ValueCountFrequency (%)
단독 19
79.2%
병의원 직영 4
 
16.7%
병의원직영 1
 
4.2%

Length

2024-01-29T00:03:56.669139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T00:03:56.762961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단독 19
67.9%
병의원 4
 
14.3%
직영 4
 
14.3%
병의원직영 1
 
3.6%

임산부실(정원_명)
Real number (ℝ)

Distinct13
Distinct (%)54.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.958333
Minimum10
Maximum68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-01-29T00:03:56.848333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile10.6
Q114
median17
Q323.5
95-th percentile47.35
Maximum68
Range58
Interquartile range (IQR)9.5

Descriptive statistics

Standard deviation13.434152
Coefficient of variation (CV)0.611802
Kurtosis5.5407762
Mean21.958333
Median Absolute Deviation (MAD)3
Skewness2.2643467
Sum527
Variance180.47645
MonotonicityNot monotonic
2024-01-29T00:03:56.930087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
14 5
20.8%
17 5
20.8%
19 2
 
8.3%
10 2
 
8.3%
15 2
 
8.3%
38 1
 
4.2%
68 1
 
4.2%
18 1
 
4.2%
32 1
 
4.2%
29 1
 
4.2%
Other values (3) 3
12.5%
ValueCountFrequency (%)
10 2
 
8.3%
14 5
20.8%
15 2
 
8.3%
17 5
20.8%
18 1
 
4.2%
19 2
 
8.3%
22 1
 
4.2%
28 1
 
4.2%
29 1
 
4.2%
32 1
 
4.2%
ValueCountFrequency (%)
68 1
 
4.2%
49 1
 
4.2%
38 1
 
4.2%
32 1
 
4.2%
29 1
 
4.2%
28 1
 
4.2%
22 1
 
4.2%
19 2
 
8.3%
18 1
 
4.2%
17 5
20.8%

Interactions

2024-01-29T00:03:54.413774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:03:54.274361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:03:54.481980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:03:54.342421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-29T00:03:57.003570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시군구산후조리원명주소전화번호운영형태(단독_체인_병의원 직영)임산부실(정원_명)
연번1.0000.8960.9191.0001.0000.1960.442
시군구0.8961.0000.8971.0001.0000.4020.000
산후조리원명0.9190.8971.0001.0001.0001.0000.971
주소1.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.000
운영형태(단독_체인_병의원 직영)0.1960.4021.0001.0001.0001.0000.000
임산부실(정원_명)0.4420.0000.9711.0001.0000.0001.000
2024-01-29T00:03:57.087520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구운영형태(단독_체인_병의원 직영)
시군구1.0000.137
운영형태(단독_체인_병의원 직영)0.1371.000
2024-01-29T00:03:57.159144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번임산부실(정원_명)시군구운영형태(단독_체인_병의원 직영)
연번1.0000.0590.6530.000
임산부실(정원_명)0.0591.0000.0000.000
시군구0.6530.0001.0000.137
운영형태(단독_체인_병의원 직영)0.0000.0000.1371.000

Missing values

2024-01-29T00:03:54.588754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-29T00:03:54.681950image/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

연번시군구산후조리원명주소전화번호운영형태(단독_체인_병의원 직영)임산부실(정원_명)
01미추홀구고은산후조리원인천 미추홀구 독배로 463032-870-5314단독14
12미추홀구W산후조리원인천 미추홀구 인주대로 400032-341-3535단독38
23미추홀구아인의료재단 서울산후조리원인천 미추홀구 경원대로 768(삼보빌딩), 766(서울빌딩)032-426-3005병의원 직영68
34미추홀구아이미즈산후조리원인천 미추홀구 경원대로 890 (보미리즌빌301,302호)032-435-3575단독19
45미추홀구아이소망산후조리원인천 미추홀구 미추로 56032-883-6376병의원 직영10
56연수구우리산후조리원인천 연수구 앵고개로 260, 7층032-816-5464단독17
67연수구미래제일산후조리원인천 연수구 먼우금로 189 소망빌딩 6층032-246-0101병의원직영14
78연수구허브산후조리원인천 연수구 하모니로 124 송도타운 4층032-851-2552단독18
89연수구허브산후조리원 2호점인천 연수구 테크노파크로 111번길 4, 드메티스빌딩 6,7층070-4253-1138단독14
910남동구아이미즈산후조리원인천 남동구 구월2동342-256 구월프라자7층032-469-1255단독15
연번시군구산후조리원명주소전화번호운영형태(단독_체인_병의원 직영)임산부실(정원_명)
1415부평구성모산후조리원인천 부평구 부평대로66032-330-7502단독17
1516계양구한림산후조리원인천 계양구 장제로 718 3층032-552-9696단독17
1617계양구엠앤비산후조리원인천 계양구 장제로 772번길 2032-552-3500병의원 직영28
1718서구마리아산후조리원인천 서구 가정로 358(가정동)032-571-5667단독10
1819서구탑산후조리원인천 서구 청마로51번안길22(당하동)032-463-0118단독15
1920서구청라산후조리원인천 서구 중봉대로 602 7층,8층(연희동)032-716-6006단독49
2021서구그린산후조리원인천 서구 건지로 371 5,6층(가좌동)032-574-3661단독14
2122서구뉴마더맘산후조리원인천 서구 길주로 79 성한캐슬 901호(석남동)032-577-9990단독19
2223서구크리스탈산후조리원인천 서구 크리스탈로 84 레이크가든 4층032-584-3535단독22
2324서구더나아산후조리원인천 서구 검단로 480 7층(오류왕길동)032-567-3582단독17