Overview

Dataset statistics

Number of variables7
Number of observations29
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 KiB
Average record size in memory61.6 B

Variable types

Numeric1
Categorical2
Text4

Dataset

Description인천광역시 2022.1월 기준 등록박물관(공립 16개, 사립 12개) 현황 데이터로 구성되어 있으며 시설명, 위치, 운영주체, 전화번호 등에 대한 항목정보를 제공합니다.
Author인천광역시
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15091408&srcSe=7661IVAWM27C61E190

Alerts

연번 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
박물관명 has unique valuesUnique

Reproduction

Analysis started2024-01-28 09:00:53.225482
Analysis finished2024-01-28 09:00:53.800562
Duration0.58 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15
Minimum1
Maximum29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-01-28T18:00:53.848591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.4
Q18
median15
Q322
95-th percentile27.6
Maximum29
Range28
Interquartile range (IQR)14

Descriptive statistics

Standard deviation8.5146932
Coefficient of variation (CV)0.56764621
Kurtosis-1.2
Mean15
Median Absolute Deviation (MAD)7
Skewness0
Sum435
Variance72.5
MonotonicityStrictly increasing
2024-01-28T18:00:53.959328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
1 1
 
3.4%
2 1
 
3.4%
29 1
 
3.4%
28 1
 
3.4%
27 1
 
3.4%
26 1
 
3.4%
25 1
 
3.4%
24 1
 
3.4%
23 1
 
3.4%
22 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
1 1
3.4%
2 1
3.4%
3 1
3.4%
4 1
3.4%
5 1
3.4%
6 1
3.4%
7 1
3.4%
8 1
3.4%
9 1
3.4%
10 1
3.4%
ValueCountFrequency (%)
29 1
3.4%
28 1
3.4%
27 1
3.4%
26 1
3.4%
25 1
3.4%
24 1
3.4%
23 1
3.4%
22 1
3.4%
21 1
3.4%
20 1
3.4%

구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
공립
16 
사립
12 
대학
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)3.4%

Sample

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

Common Values

ValueCountFrequency (%)
공립 16
55.2%
사립 12
41.4%
대학 1
 
3.4%

Length

2024-01-28T18:00:54.082257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T18:00:54.170371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공립 16
55.2%
사립 12
41.4%
대학 1
 
3.4%

군구
Categorical

Distinct9
Distinct (%)31.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
중구
8 
강화군
4 
미추홀구
4 
남동구
3 
연수구
3 
Other values (4)
7 

Length

Max length4
Median length3
Mean length2.7586207
Min length2

Unique

Unique1 ?
Unique (%)3.4%

Sample

1st row강화군
2nd row강화군
3rd row강화군
4th row서구
5th row서구

Common Values

ValueCountFrequency (%)
중구 8
27.6%
강화군 4
13.8%
미추홀구 4
13.8%
남동구 3
 
10.3%
연수구 3
 
10.3%
서구 2
 
6.9%
부평구 2
 
6.9%
계양구 2
 
6.9%
동구 1
 
3.4%

Length

2024-01-28T18:00:54.270797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T18:00:54.378522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중구 8
27.6%
강화군 4
13.8%
미추홀구 4
13.8%
남동구 3
 
10.3%
연수구 3
 
10.3%
서구 2
 
6.9%
부평구 2
 
6.9%
계양구 2
 
6.9%
동구 1
 
3.4%

박물관명
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2024-01-28T18:00:54.556732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length7.2758621
Min length5

Characters and Unicode

Total characters211
Distinct characters86
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

Unique29 ?
Unique (%)100.0%

Sample

1st row강화역사박물관
2nd row강화자연사박물관
3rd row강화전쟁박물관
4th row검단선사박물관
5th row녹청자박물관
ValueCountFrequency (%)
강화역사박물관 1
 
3.3%
강화자연사박물관 1
 
3.3%
인하대학교 1
 
3.3%
심장박물관 1
 
3.3%
혜명단청박물관 1
 
3.3%
한국전통음식박물관 1
 
3.3%
한국선교역사기념관 1
 
3.3%
초연다구박물관 1
 
3.3%
인천학생6.25참전관 1
 
3.3%
인천어린이박물관 1
 
3.3%
Other values (20) 20
66.7%
2024-01-28T18:00:54.886667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
관 28
 
13.3%
박 22
 
10.4%
물 22
 
10.4%
사 9
 
4.3%
역 7
 
3.3%
국 6
 
2.8%
천 6
 
2.8%
인 6
 
2.8%
화 4
 
1.9%
한 4
 
1.9%
Other values (76) 97
46.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 206
97.6%
Decimal Number 3
 
1.4%
Other Punctuation 1
 
0.5%
Space Separator 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 28
 
13.6%
박 22
 
10.7%
물 22
 
10.7%
사 9
 
4.4%
역 7
 
3.4%
국 6
 
2.9%
천 6
 
2.9%
인 6
 
2.9%
화 4
 
1.9%
한 4
 
1.9%
Other values (71) 92
44.7%
Decimal Number
ValueCountFrequency (%)
2 1
33.3%
6 1
33.3%
5 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 206
97.6%
Common 5
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 28
 
13.6%
박 22
 
10.7%
물 22
 
10.7%
사 9
 
4.4%
역 7
 
3.4%
국 6
 
2.9%
천 6
 
2.9%
인 6
 
2.9%
화 4
 
1.9%
한 4
 
1.9%
Other values (71) 92
44.7%
Common
ValueCountFrequency (%)
2 1
20.0%
6 1
20.0%
. 1
20.0%
5 1
20.0%
1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 206
97.6%
ASCII 5
 
2.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
관 28
 
13.6%
박 22
 
10.7%
물 22
 
10.7%
사 9
 
4.4%
역 7
 
3.4%
국 6
 
2.9%
천 6
 
2.9%
인 6
 
2.9%
화 4
 
1.9%
한 4
 
1.9%
Other values (71) 92
44.7%
ASCII
ValueCountFrequency (%)
2 1
20.0%
6 1
20.0%
. 1
20.0%
5 1
20.0%
1
20.0%

주소
Text

Distinct28
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size364.0 B
2024-01-28T18:00:55.103658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length22
Mean length20.034483
Min length15

Characters and Unicode

Total characters581
Distinct characters84
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

Unique27 ?
Unique (%)93.1%

Sample

1st row인천광역시 강화군 하점면 강화대로 994-19
2nd row인천광역시 강화군 하점면 강화대로 994-33
3rd row인천광역시 강화군 강화읍 해안동로 1366번길 18
4th row인천광역시 서구 고산후로121번길 7
5th row인천광역시 서구 도요지로 54
ValueCountFrequency (%)
인천광역시 28
22.2%
중구 8
 
6.3%
강화군 4
 
3.2%
미추홀구 4
 
3.2%
남동구 3
 
2.4%
연수구 3
 
2.4%
계양구 2
 
1.6%
부평구 2
 
1.6%
신포로 2
 
1.6%
서구 2
 
1.6%
Other values (64) 68
54.0%
2024-01-28T18:00:55.457937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
99
17.0%
인 33
 
5.7%
천 30
 
5.2%
로 29
 
5.0%
시 29
 
5.0%
광 28
 
4.8%
역 28
 
4.8%
구 26
 
4.5%
1 26
 
4.5%
3 14
 
2.4%
Other values (74) 239
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 366
63.0%
Decimal Number 107
 
18.4%
Space Separator 99
 
17.0%
Dash Punctuation 7
 
1.2%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 33
 
9.0%
천 30
 
8.2%
로 29
 
7.9%
시 29
 
7.9%
광 28
 
7.7%
역 28
 
7.7%
구 26
 
7.1%
화 10
 
2.7%
길 10
 
2.7%
번 10
 
2.7%
Other values (60) 133
36.3%
Decimal Number
ValueCountFrequency (%)
1 26
24.3%
3 14
13.1%
6 12
11.2%
9 11
10.3%
0 10
 
9.3%
4 8
 
7.5%
5 7
 
6.5%
2 7
 
6.5%
8 6
 
5.6%
7 6
 
5.6%
Space Separator
ValueCountFrequency (%)
99
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 366
63.0%
Common 215
37.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 33
 
9.0%
천 30
 
8.2%
로 29
 
7.9%
시 29
 
7.9%
광 28
 
7.7%
역 28
 
7.7%
구 26
 
7.1%
화 10
 
2.7%
길 10
 
2.7%
번 10
 
2.7%
Other values (60) 133
36.3%
Common
ValueCountFrequency (%)
99
46.0%
1 26
 
12.1%
3 14
 
6.5%
6 12
 
5.6%
9 11
 
5.1%
0 10
 
4.7%
4 8
 
3.7%
5 7
 
3.3%
2 7
 
3.3%
- 7
 
3.3%
Other values (4) 14
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 366
63.0%
ASCII 215
37.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
99
46.0%
1 26
 
12.1%
3 14
 
6.5%
6 12
 
5.6%
9 11
 
5.1%
0 10
 
4.7%
4 8
 
3.7%
5 7
 
3.3%
2 7
 
3.3%
- 7
 
3.3%
Other values (4) 14
 
6.5%
Hangul
ValueCountFrequency (%)
인 33
 
9.0%
천 30
 
8.2%
로 29
 
7.9%
시 29
 
7.9%
광 28
 
7.7%
역 28
 
7.7%
구 26
 
7.1%
화 10
 
2.7%
길 10
 
2.7%
번 10
 
2.7%
Other values (60) 133
36.3%

관리기관
Text

Distinct20
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2024-01-28T18:00:55.642982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length9
Mean length5.4482759
Min length2

Characters and Unicode

Total characters158
Distinct characters64
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

Unique16 ?
Unique (%)55.2%

Sample

1st row강화군
2nd row강화군
3rd row강화군
4th row인천광역시
5th row서구
ValueCountFrequency (%)
인천광역시 5
16.1%
강화군 3
 
9.7%
중구 3
 
9.7%
개인(황형택 2
 
6.5%
이용애 1
 
3.2%
개인(안경회 1
 
3.2%
우촌심뇌혈관연구재단 1
 
3.2%
재단법인 1
 
3.2%
개인(정성길 1
 
3.2%
한국선교역사문화원 1
 
3.2%
Other values (12) 12
38.7%
2024-01-28T18:00:56.006830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 15
 
9.5%
구 9
 
5.7%
( 9
 
5.7%
) 9
 
5.7%
개 8
 
5.1%
역 6
 
3.8%
천 6
 
3.8%
광 5
 
3.2%
시 5
 
3.2%
화 5
 
3.2%
Other values (54) 81
51.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 137
86.7%
Open Punctuation 9
 
5.7%
Close Punctuation 9
 
5.7%
Space Separator 2
 
1.3%
Other Punctuation 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 15
 
10.9%
구 9
 
6.6%
개 8
 
5.8%
역 6
 
4.4%
천 6
 
4.4%
광 5
 
3.6%
시 5
 
3.6%
화 5
 
3.6%
재 4
 
2.9%
형 3
 
2.2%
Other values (50) 71
51.8%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 137
86.7%
Common 21
 
13.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 15
 
10.9%
구 9
 
6.6%
개 8
 
5.8%
역 6
 
4.4%
천 6
 
4.4%
광 5
 
3.6%
시 5
 
3.6%
화 5
 
3.6%
재 4
 
2.9%
형 3
 
2.2%
Other values (50) 71
51.8%
Common
ValueCountFrequency (%)
( 9
42.9%
) 9
42.9%
2
 
9.5%
, 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 137
86.7%
ASCII 21
 
13.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 15
 
10.9%
구 9
 
6.6%
개 8
 
5.8%
역 6
 
4.4%
천 6
 
4.4%
광 5
 
3.6%
시 5
 
3.6%
화 5
 
3.6%
재 4
 
2.9%
형 3
 
2.2%
Other values (50) 71
51.8%
ASCII
ValueCountFrequency (%)
( 9
42.9%
) 9
42.9%
2
 
9.5%
, 1
 
4.8%

전화번호
Text

Distinct26
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Memory size364.0 B
2024-01-28T18:00:56.194395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters348
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 (%)82.8%

Sample

1st row032-934-4296
2nd row032-934-4296
3rd row032-934-4296
4th row032-440-6790
5th row032-560-4345
ValueCountFrequency (%)
032-934-4296 3
 
10.3%
032-760-6473 2
 
6.9%
032-867-0301 1
 
3.4%
032-546-9501 1
 
3.4%
032-868-5898 1
 
3.4%
032-466-3182 1
 
3.4%
032-515-5995 1
 
3.4%
032-772-9779 1
 
3.4%
032-766-1218 1
 
3.4%
032-432-5600 1
 
3.4%
Other values (16) 16
55.2%
2024-01-28T18:00:56.473252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 58
16.7%
0 55
15.8%
3 48
13.8%
2 40
11.5%
4 31
8.9%
6 27
7.8%
7 21
 
6.0%
9 18
 
5.2%
1 18
 
5.2%
8 17
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 290
83.3%
Dash Punctuation 58
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 55
19.0%
3 48
16.6%
2 40
13.8%
4 31
10.7%
6 27
9.3%
7 21
 
7.2%
9 18
 
6.2%
1 18
 
6.2%
8 17
 
5.9%
5 15
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 348
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 58
16.7%
0 55
15.8%
3 48
13.8%
2 40
11.5%
4 31
8.9%
6 27
7.8%
7 21
 
6.0%
9 18
 
5.2%
1 18
 
5.2%
8 17
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 348
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 58
16.7%
0 55
15.8%
3 48
13.8%
2 40
11.5%
4 31
8.9%
6 27
7.8%
7 21
 
6.0%
9 18
 
5.2%
1 18
 
5.2%
8 17
 
4.9%

Interactions

2024-01-28T18:00:53.586091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T18:00:56.559455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분군구박물관명주소관리기관전화번호
연번1.0000.7620.6931.0000.9290.8580.967
구분0.7621.0000.0001.0001.0001.0001.000
군구0.6930.0001.0001.0001.0000.9571.000
박물관명1.0001.0001.0001.0001.0001.0001.000
주소0.9291.0001.0001.0001.0001.0000.964
관리기관0.8581.0000.9571.0001.0001.0001.000
전화번호0.9671.0001.0001.0000.9641.0001.000
2024-01-28T18:00:56.672926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
군구구분
군구1.0000.000
구분0.0001.000
2024-01-28T18:00:56.740442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분군구
연번1.0000.5500.427
구분0.5501.0000.000
군구0.4270.0001.000

Missing values

2024-01-28T18:00:53.678808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T18:00:53.766241image/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

연번구분군구박물관명주소관리기관전화번호
01공립강화군강화역사박물관인천광역시 강화군 하점면 강화대로 994-19강화군032-934-4296
12공립강화군강화자연사박물관인천광역시 강화군 하점면 강화대로 994-33강화군032-934-4296
23공립강화군강화전쟁박물관인천광역시 강화군 강화읍 해안동로 1366번길 18강화군032-934-4296
34공립서구검단선사박물관인천광역시 서구 고산후로121번길 7인천광역시032-440-6790
45공립서구녹청자박물관인천광역시 서구 도요지로 54서구032-560-4345
56공립부평구부평역사박물관인천광역시 부평구 굴포로 151부평구032-509-6414
67공립남동구소래역사관인천광역시 남동구 아암대로 1605남동구032-453-2132
78공립동구수도국산달동네박물관인천광역시 동구 솔빛로 51동구032-770-6130
89공립중구영종역사관인천광역시 중구 구읍로 63중구032-760-7602
910공립연수구인천광역시립박물관인천광역시 연수구 청량로 160번길 26인천광역시032-440-6750
연번구분군구박물관명주소관리기관전화번호
1920사립강화군옥토끼우주센터인천광역시 강화군 불은면 강화동로 403개인(안경회)032-937-6918
2021사립남동구애보박물관인천광역시 남동구 만의골로 71개인(황형택)032-466-3181
2122사립미추홀구인천어린이박물관인천광역시 미추홀구 매소홀로 618개인(원순미)032-432-5600
2223사립중구인천학생6.25참전관인천광역시 중구 우현로 66개인(이경종)032-766-1218
2324사립중구초연다구박물관인천광역시 중구 신포로39번길8-1개인(심상진)032-772-9779
2425사립부평구한국선교역사기념관인천광역시 부평구 장제로 393한국선교역사문화원032-515-5995
2526사립남동구한국전통음식박물관인천광역시 남동구 만의골로 71개인(황형택)032-466-3182
2627사립중구혜명단청박물관인천광역시 중구 신포로 15번길 48개인(정성길)032-868-5898
2728사립계양구심장박물관인천시 계양구 계양문화로 7(문화빌딩 2층)재단법인 우촌심뇌혈관연구재단032-546-9501
2829대학미추홀구인하대학교 박물관인천광역시 미추홀구 인하로 100 1-013인하대학교032-860-7114