Overview

Dataset statistics

Number of variables7
Number of observations33
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory61.0 B

Variable types

Numeric1
Text4
Categorical1
DateTime1

Dataset

Description인천광역시 중구 모범음식점에 관한 정보입니다. 파일명 인천광역시_중구_모범음식점현황 내용 주소, 연락처, 음식 유형, 주요 메뉴 등
URLhttps://www.data.go.kr/data/15038684/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
업소명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 19:42:45.636839
Analysis finished2023-12-12 19:42:46.257005
Duration0.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17
Minimum1
Maximum33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-13T04:42:46.317204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.6
Q19
median17
Q325
95-th percentile31.4
Maximum33
Range32
Interquartile range (IQR)16

Descriptive statistics

Standard deviation9.6695398
Coefficient of variation (CV)0.56879646
Kurtosis-1.2
Mean17
Median Absolute Deviation (MAD)8
Skewness0
Sum561
Variance93.5
MonotonicityStrictly increasing
2023-12-13T04:42:46.436160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
1 1
 
3.0%
26 1
 
3.0%
20 1
 
3.0%
21 1
 
3.0%
22 1
 
3.0%
23 1
 
3.0%
24 1
 
3.0%
25 1
 
3.0%
27 1
 
3.0%
2 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
1 1
3.0%
2 1
3.0%
3 1
3.0%
4 1
3.0%
5 1
3.0%
6 1
3.0%
7 1
3.0%
8 1
3.0%
9 1
3.0%
10 1
3.0%
ValueCountFrequency (%)
33 1
3.0%
32 1
3.0%
31 1
3.0%
30 1
3.0%
29 1
3.0%
28 1
3.0%
27 1
3.0%
26 1
3.0%
25 1
3.0%
24 1
3.0%

업소명
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-13T04:42:46.664919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length5.0606061
Min length2

Characters and Unicode

Total characters167
Distinct characters112
Distinct categories5 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)100.0%

Sample

1st row가조
2nd row공화춘
3rd row금촌집
4th row꾸지뽕삼계탕
5th row단해
ValueCountFrequency (%)
가조 1
 
2.4%
중국성 1
 
2.4%
화로구이 1
 
2.4%
예전 1
 
2.4%
오성식당 1
 
2.4%
우정일식당 1
 
2.4%
원조먹거리식당 1
 
2.4%
월미도회집 1
 
2.4%
제주솥뚜껑 1
 
2.4%
삼겹살 1
 
2.4%
Other values (32) 32
76.2%
2023-12-13T04:42:47.101404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9
 
5.4%
미 4
 
2.4%
O 4
 
2.4%
화 4
 
2.4%
삼 3
 
1.8%
중 3
 
1.8%
비 3
 
1.8%
원 3
 
1.8%
신 3
 
1.8%
국 3
 
1.8%
Other values (102) 128
76.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 144
86.2%
Uppercase Letter 10
 
6.0%
Space Separator 9
 
5.4%
Close Punctuation 2
 
1.2%
Open Punctuation 2
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
미 4
 
2.8%
화 4
 
2.8%
삼 3
 
2.1%
중 3
 
2.1%
비 3
 
2.1%
원 3
 
2.1%
신 3
 
2.1%
국 3
 
2.1%
당 3
 
2.1%
집 3
 
2.1%
Other values (92) 112
77.8%
Uppercase Letter
ValueCountFrequency (%)
O 4
40.0%
F 1
 
10.0%
D 1
 
10.0%
L 1
 
10.0%
H 1
 
10.0%
C 1
 
10.0%
S 1
 
10.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 143
85.6%
Common 13
 
7.8%
Latin 10
 
6.0%
Han 1
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
미 4
 
2.8%
화 4
 
2.8%
삼 3
 
2.1%
중 3
 
2.1%
비 3
 
2.1%
원 3
 
2.1%
신 3
 
2.1%
국 3
 
2.1%
당 3
 
2.1%
집 3
 
2.1%
Other values (91) 111
77.6%
Latin
ValueCountFrequency (%)
O 4
40.0%
F 1
 
10.0%
D 1
 
10.0%
L 1
 
10.0%
H 1
 
10.0%
C 1
 
10.0%
S 1
 
10.0%
Common
ValueCountFrequency (%)
9
69.2%
) 2
 
15.4%
( 2
 
15.4%
Han
ValueCountFrequency (%)
愛 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 143
85.6%
ASCII 23
 
13.8%
CJK 1
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9
39.1%
O 4
17.4%
) 2
 
8.7%
( 2
 
8.7%
F 1
 
4.3%
D 1
 
4.3%
L 1
 
4.3%
H 1
 
4.3%
C 1
 
4.3%
S 1
 
4.3%
Hangul
ValueCountFrequency (%)
미 4
 
2.8%
화 4
 
2.8%
삼 3
 
2.1%
중 3
 
2.1%
비 3
 
2.1%
원 3
 
2.1%
신 3
 
2.1%
국 3
 
2.1%
당 3
 
2.1%
집 3
 
2.1%
Other values (91) 111
77.6%
CJK
ValueCountFrequency (%)
愛 1
100.0%

소재지주소
Text

Distinct30
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-13T04:42:47.367789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length35
Mean length30.606061
Min length20

Characters and Unicode

Total characters1010
Distinct characters90
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)84.8%

Sample

1st row인천광역시 중구 신포로46번길 25, 1층 (내동)
2nd row인천광역시 중구 차이나타운로 43, 2,3,4층 (북성동3가)
3rd row인천광역시 중구 우현로90번길 19-1 (인현동)
4th row인천광역시 중구 우현로90번길 7 (인현동)
5th row인천광역시 중구 영종대로 120, 202,202-1호 (운서동, 두손에어파스텔)
ValueCountFrequency (%)
인천광역시 33
 
16.9%
중구 33
 
16.9%
운서동 7
 
3.6%
차이나타운로 5
 
2.6%
1층 5
 
2.6%
16 4
 
2.1%
2층 4
 
2.1%
해양센타 3
 
1.5%
항동7가 3
 
1.5%
선린동 3
 
1.5%
Other values (72) 95
48.7%
2023-12-13T04:42:47.753476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
162
 
16.0%
인 38
 
3.8%
1 37
 
3.7%
중 36
 
3.6%
, 36
 
3.6%
동 35
 
3.5%
2 35
 
3.5%
시 35
 
3.5%
천 35
 
3.5%
로 33
 
3.3%
Other values (80) 528
52.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 579
57.3%
Space Separator 162
 
16.0%
Decimal Number 158
 
15.6%
Other Punctuation 36
 
3.6%
Open Punctuation 33
 
3.3%
Close Punctuation 33
 
3.3%
Dash Punctuation 8
 
0.8%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 38
 
6.6%
중 36
 
6.2%
동 35
 
6.0%
시 35
 
6.0%
천 35
 
6.0%
로 33
 
5.7%
구 33
 
5.7%
역 33
 
5.7%
광 33
 
5.7%
층 19
 
3.3%
Other values (64) 249
43.0%
Decimal Number
ValueCountFrequency (%)
1 37
23.4%
2 35
22.2%
3 20
12.7%
4 15
9.5%
0 12
 
7.6%
5 11
 
7.0%
7 11
 
7.0%
6 8
 
5.1%
9 6
 
3.8%
8 3
 
1.9%
Space Separator
ValueCountFrequency (%)
162
100.0%
Other Punctuation
ValueCountFrequency (%)
, 36
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 579
57.3%
Common 431
42.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 38
 
6.6%
중 36
 
6.2%
동 35
 
6.0%
시 35
 
6.0%
천 35
 
6.0%
로 33
 
5.7%
구 33
 
5.7%
역 33
 
5.7%
광 33
 
5.7%
층 19
 
3.3%
Other values (64) 249
43.0%
Common
ValueCountFrequency (%)
162
37.6%
1 37
 
8.6%
, 36
 
8.4%
2 35
 
8.1%
( 33
 
7.7%
) 33
 
7.7%
3 20
 
4.6%
4 15
 
3.5%
0 12
 
2.8%
5 11
 
2.6%
Other values (6) 37
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 579
57.3%
ASCII 431
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
162
37.6%
1 37
 
8.6%
, 36
 
8.4%
2 35
 
8.1%
( 33
 
7.7%
) 33
 
7.7%
3 20
 
4.6%
4 15
 
3.5%
0 12
 
2.8%
5 11
 
2.6%
Other values (6) 37
 
8.6%
Hangul
ValueCountFrequency (%)
인 38
 
6.6%
중 36
 
6.2%
동 35
 
6.0%
시 35
 
6.0%
천 35
 
6.0%
로 33
 
5.7%
구 33
 
5.7%
역 33
 
5.7%
광 33
 
5.7%
층 19
 
3.3%
Other values (64) 249
43.0%

전화번호
Text

Distinct32
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-13T04:42:47.956480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters396
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

Unique31 ?
Unique (%)93.9%

Sample

1st row032-772-6118
2nd row032-765-0571
3rd row032-772-9324
4th row032-777-0085
5th row032-746-1472
ValueCountFrequency (%)
032-743-6970 2
 
6.1%
032-772-6118 1
 
3.0%
032-765-3233 1
 
3.0%
032-882-0012 1
 
3.0%
032-746-6275 1
 
3.0%
032-743-9000 1
 
3.0%
032-772-2680 1
 
3.0%
032-766-8688 1
 
3.0%
032-772-5118 1
 
3.0%
032-772-3058 1
 
3.0%
Other values (22) 22
66.7%
2023-12-13T04:42:48.338767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 66
16.7%
0 58
14.6%
2 57
14.4%
7 55
13.9%
3 49
12.4%
6 30
7.6%
8 25
 
6.3%
1 18
 
4.5%
4 14
 
3.5%
5 13
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 330
83.3%
Dash Punctuation 66
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 58
17.6%
2 57
17.3%
7 55
16.7%
3 49
14.8%
6 30
9.1%
8 25
7.6%
1 18
 
5.5%
4 14
 
4.2%
5 13
 
3.9%
9 11
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 66
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 396
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 66
16.7%
0 58
14.6%
2 57
14.4%
7 55
13.9%
3 49
12.4%
6 30
7.6%
8 25
 
6.3%
1 18
 
4.5%
4 14
 
3.5%
5 13
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 396
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 66
16.7%
0 58
14.6%
2 57
14.4%
7 55
13.9%
3 49
12.4%
6 30
7.6%
8 25
 
6.3%
1 18
 
4.5%
4 14
 
3.5%
5 13
 
3.3%

음식유형
Categorical

Distinct6
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Memory size396.0 B
한식
21 
중국식
7 
경양식
 
2
중식
 
1
일식
 
1

Length

Max length3
Median length2
Mean length2.2727273
Min length2

Unique

Unique3 ?
Unique (%)9.1%

Sample

1st row한식
2nd row중국식
3rd row한식
4th row한식
5th row한식

Common Values

ValueCountFrequency (%)
한식 21
63.6%
중국식 7
 
21.2%
경양식 2
 
6.1%
중식 1
 
3.0%
일식 1
 
3.0%
횟집 1
 
3.0%

Length

2023-12-13T04:42:48.483831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:42:48.606488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한식 21
63.6%
중국식 7
 
21.2%
경양식 2
 
6.1%
중식 1
 
3.0%
일식 1
 
3.0%
횟집 1
 
3.0%

주요음식
Text

Distinct32
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-13T04:42:48.888664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length9.1818182
Min length5

Characters and Unicode

Total characters303
Distinct characters115
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)93.9%

Sample

1st row양구이+한우등심구이
2nd row공화춘짜장면+짬뽕
3rd row낙곱전골구이+불낙전골부대찌개
4th row꾸지뽕삼계탕+녹두삼계탕
5th row오리구이+장어구이
ValueCountFrequency (%)
돼지갈비+삼겹살 2
 
6.1%
양구이+한우등심구이 1
 
3.0%
밴댕이회무침+물메기탕 1
 
3.0%
밴댕이회무침+병어조림 1
 
3.0%
코다리찜+청국장 1
 
3.0%
스테이크+피자 1
 
3.0%
간짜장+볶음밥 1
 
3.0%
찹쌀탕수육+깐쇼새우 1
 
3.0%
찹쌀탕수육+전가복 1
 
3.0%
삼선하얀짬뽕+탕수육 1
 
3.0%
Other values (22) 22
66.7%
2023-12-13T04:42:49.265773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
+ 33
 
10.9%
탕 16
 
5.3%
이 10
 
3.3%
비 8
 
2.6%
갈 7
 
2.3%
삼 7
 
2.3%
장 6
 
2.0%
스 6
 
2.0%
부 5
 
1.7%
육 5
 
1.7%
Other values (105) 200
66.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 270
89.1%
Math Symbol 33
 
10.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
탕 16
 
5.9%
이 10
 
3.7%
비 8
 
3.0%
갈 7
 
2.6%
삼 7
 
2.6%
장 6
 
2.2%
스 6
 
2.2%
부 5
 
1.9%
육 5
 
1.9%
회 5
 
1.9%
Other values (104) 195
72.2%
Math Symbol
ValueCountFrequency (%)
+ 33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 270
89.1%
Common 33
 
10.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
탕 16
 
5.9%
이 10
 
3.7%
비 8
 
3.0%
갈 7
 
2.6%
삼 7
 
2.6%
장 6
 
2.2%
스 6
 
2.2%
부 5
 
1.9%
육 5
 
1.9%
회 5
 
1.9%
Other values (104) 195
72.2%
Common
ValueCountFrequency (%)
+ 33
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 270
89.1%
ASCII 33
 
10.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
+ 33
100.0%
Hangul
ValueCountFrequency (%)
탕 16
 
5.9%
이 10
 
3.7%
비 8
 
3.0%
갈 7
 
2.6%
삼 7
 
2.6%
장 6
 
2.2%
스 6
 
2.2%
부 5
 
1.9%
육 5
 
1.9%
회 5
 
1.9%
Other values (104) 195
72.2%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum2023-08-24 00:00:00
Maximum2023-08-24 00:00:00
2023-12-13T04:42:49.403828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:42:49.519136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T04:42:45.984769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:42:49.952018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업소명소재지주소전화번호음식유형주요음식
연번1.0001.0000.9350.9100.4890.910
업소명1.0001.0001.0001.0001.0001.000
소재지주소0.9351.0001.0001.0001.0000.972
전화번호0.9101.0001.0001.0001.0000.992
음식유형0.4891.0001.0001.0001.0001.000
주요음식0.9101.0000.9720.9921.0001.000
2023-12-13T04:42:50.067533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번음식유형
연번1.0000.272
음식유형0.2721.000

Missing values

2023-12-13T04:42:46.101551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:42:46.213252image/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

연번업소명소재지주소전화번호음식유형주요음식데이터기준일자
01가조인천광역시 중구 신포로46번길 25, 1층 (내동)032-772-6118한식양구이+한우등심구이2023-08-24
12공화춘인천광역시 중구 차이나타운로 43, 2,3,4층 (북성동3가)032-765-0571중국식공화춘짜장면+짬뽕2023-08-24
23금촌집인천광역시 중구 우현로90번길 19-1 (인현동)032-772-9324한식낙곱전골구이+불낙전골부대찌개2023-08-24
34꾸지뽕삼계탕인천광역시 중구 우현로90번길 7 (인현동)032-777-0085한식꾸지뽕삼계탕+녹두삼계탕2023-08-24
45단해인천광역시 중구 영종대로 120, 202,202-1호 (운서동, 두손에어파스텔)032-746-1472한식오리구이+장어구이2023-08-24
56돈비어천가인천광역시 중구 개항로53번길 10, 1~2층 (내동)032-777-1300한식돼지왕갈비+삼겹살2023-08-24
67명품관인천광역시 중구 신도시남로141번길 13-5, 2층 201호 (운서동)032-746-9233한식양념소갈비코스+갈비탕2023-08-24
78문차이나인천광역시 중구 차이나타운로 20 (북성동2가, 1층)032-881-4096중식망고크림소스새우+월특꼬치짬뽕2023-08-24
89미사리 밀빛 초계국수 닭칼국수 인천공항점인천광역시 중구 공항로 272, 일반동 4층 (운서동, 인천국제공항여객터미널)032-743-6970한식돈까스+튀김우동2023-08-24
910본죽앤비빔밥인천광역시 중구 신포로 18-1 (신생동)032-777-6233한식죽+비빔밥2023-08-24
연번업소명소재지주소전화번호음식유형주요음식데이터기준일자
2324중앙갈비인천광역시 중구 신포로35번길 7 (관동3가)032-766-0110한식돼지갈비+삼겹살2023-08-24
2425중화원인천광역시 중구 차이나타운로44번길 20 (북성동2가)032-777-8630중국식탕수육+짜장면2023-08-24
2526진흥각인천광역시 중구 신포로23번길 20, 1,2,3층 (중앙동4가)032-772-3058중국식삼선하얀짬뽕+탕수육2023-08-24
2627청관인천광역시 중구 차이나타운로 41-1, 2,3층 (북성동3가)032-772-5118중국식찹쌀탕수육+전가복2023-08-24
2728태화원인천광역시 중구 차이나타운로59번길 10, 1,2층 (선린동)032-766-8688중국식찹쌀탕수육+깐쇼새우2023-08-24
2829풍미인천광역시 중구 차이나타운로 56 (선린동, 1층,2층)032-772-2680중국식간짜장+볶음밥2023-08-24
2930플라츠인천광역시 중구 영종해안남로 19-5, 1, 2층 (운서동)032-743-9000경양식스테이크+피자2023-08-24
3031하여울인천광역시 중구 화랑목로 70, 1층 (운서동)032-746-6275한식코다리찜+청국장2023-08-24
3132해촌인천광역시 중구 연안부두로 16 (항동7가, 해양센타)032-882-0012한식밴댕이회무침+병어조림2023-08-24
3233훈장골인천광역시 중구 신도시남로 28, 2층 (운서동, 영종에어포트2)032-746-6200한식양념갈비+갈비탕2023-08-24