Overview

Dataset statistics

Number of variables6
Number of observations52
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 KiB
Average record size in memory51.5 B

Variable types

Numeric1
Text4
Categorical1

Dataset

Description인천광역시 남동구 모범음식점현황에 대한 데이터로 연번, 업소명, 도로명주소, 소재지번호, 업태명, 주된음식 항목을 개방합니다.
URLhttps://www.data.go.kr/data/15067441/fileData.do

Alerts

연번 has unique valuesUnique
업소명 has unique valuesUnique
도로명주소 has unique valuesUnique
소재지번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:27:04.563621
Analysis finished2023-12-12 13:27:05.280289
Duration0.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.5
Minimum1
Maximum52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-12T22:27:05.367059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.55
Q113.75
median26.5
Q339.25
95-th percentile49.45
Maximum52
Range51
Interquartile range (IQR)25.5

Descriptive statistics

Standard deviation15.154757
Coefficient of variation (CV)0.57187763
Kurtosis-1.2
Mean26.5
Median Absolute Deviation (MAD)13
Skewness0
Sum1378
Variance229.66667
MonotonicityStrictly increasing
2023-12-12T22:27:05.522810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.9%
28 1
 
1.9%
30 1
 
1.9%
31 1
 
1.9%
32 1
 
1.9%
33 1
 
1.9%
34 1
 
1.9%
35 1
 
1.9%
36 1
 
1.9%
37 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
1 1
1.9%
2 1
1.9%
3 1
1.9%
4 1
1.9%
5 1
1.9%
6 1
1.9%
7 1
1.9%
8 1
1.9%
9 1
1.9%
10 1
1.9%
ValueCountFrequency (%)
52 1
1.9%
51 1
1.9%
50 1
1.9%
49 1
1.9%
48 1
1.9%
47 1
1.9%
46 1
1.9%
45 1
1.9%
44 1
1.9%
43 1
1.9%

업소명
Text

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-12-12T22:27:05.773122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length5.7115385
Min length2

Characters and Unicode

Total characters297
Distinct characters145
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)100.0%

Sample

1st row삼화정
2nd row수림공원
3rd row(주)통큰소한마리
4th row우미가든
5th row신두리
ValueCountFrequency (%)
화로구이 2
 
3.8%
삼화정 1
 
1.9%
바오 1
 
1.9%
강촌토종삼계탕 1
 
1.9%
취화선 1
 
1.9%
향계 1
 
1.9%
우진삼계탕.부대찌개 1
 
1.9%
루쉬 1
 
1.9%
이바돔감자탕조선화로집(소래시티점 1
 
1.9%
논현코다리냉면 1
 
1.9%
Other values (42) 42
79.2%
2023-12-12T22:27:06.199962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
탕 9
 
3.0%
구 7
 
2.4%
점 7
 
2.4%
이 7
 
2.4%
가 7
 
2.4%
화 6
 
2.0%
) 6
 
2.0%
리 6
 
2.0%
주 6
 
2.0%
( 6
 
2.0%
Other values (135) 230
77.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 282
94.9%
Close Punctuation 6
 
2.0%
Open Punctuation 6
 
2.0%
Other Punctuation 2
 
0.7%
Space Separator 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
탕 9
 
3.2%
구 7
 
2.5%
점 7
 
2.5%
이 7
 
2.5%
가 7
 
2.5%
화 6
 
2.1%
리 6
 
2.1%
주 6
 
2.1%
수 5
 
1.8%
삼 4
 
1.4%
Other values (131) 218
77.3%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 281
94.6%
Common 15
 
5.1%
Han 1
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
탕 9
 
3.2%
구 7
 
2.5%
점 7
 
2.5%
이 7
 
2.5%
가 7
 
2.5%
화 6
 
2.1%
리 6
 
2.1%
주 6
 
2.1%
수 5
 
1.8%
삼 4
 
1.4%
Other values (130) 217
77.2%
Common
ValueCountFrequency (%)
) 6
40.0%
( 6
40.0%
. 2
 
13.3%
1
 
6.7%
Han
ValueCountFrequency (%)
新 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 281
94.6%
ASCII 15
 
5.1%
CJK 1
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
탕 9
 
3.2%
구 7
 
2.5%
점 7
 
2.5%
이 7
 
2.5%
가 7
 
2.5%
화 6
 
2.1%
리 6
 
2.1%
주 6
 
2.1%
수 5
 
1.8%
삼 4
 
1.4%
Other values (130) 217
77.2%
ASCII
ValueCountFrequency (%)
) 6
40.0%
( 6
40.0%
. 2
 
13.3%
1
 
6.7%
CJK
ValueCountFrequency (%)
新 1
100.0%

도로명주소
Text

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-12-12T22:27:06.532282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length43
Mean length32.942308
Min length22

Characters and Unicode

Total characters1713
Distinct characters103
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)100.0%

Sample

1st row인천광역시 남동구 남동대로922번길 14, 1층, 2층 전부호 (간석동)
2nd row인천광역시 남동구 주안로 269, A동 1, 2, 3층 전부호 (간석동)
3rd row인천광역시 남동구 경원대로 960, 1층 (간석동)
4th row인천광역시 남동구 남동대로916번길 54, 1층 (간석동)
5th row인천광역시 남동구 백범로 256, 1,2,3층 전부(간석동)
ValueCountFrequency (%)
인천광역시 52
 
15.7%
남동구 52
 
15.7%
구월동 26
 
7.8%
만수동 14
 
4.2%
1층 13
 
3.9%
인주대로 9
 
2.7%
2층 9
 
2.7%
6
 
1.8%
백범로 5
 
1.5%
간석동 4
 
1.2%
Other values (123) 142
42.8%
2023-12-12T22:27:07.034725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
280
 
16.3%
동 112
 
6.5%
구 84
 
4.9%
, 80
 
4.7%
인 67
 
3.9%
2 66
 
3.9%
1 65
 
3.8%
남 58
 
3.4%
시 54
 
3.2%
역 53
 
3.1%
Other values (93) 794
46.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 949
55.4%
Decimal Number 293
 
17.1%
Space Separator 280
 
16.3%
Other Punctuation 80
 
4.7%
Close Punctuation 52
 
3.0%
Open Punctuation 52
 
3.0%
Dash Punctuation 4
 
0.2%
Math Symbol 2
 
0.1%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 112
 
11.8%
구 84
 
8.9%
인 67
 
7.1%
남 58
 
6.1%
시 54
 
5.7%
역 53
 
5.6%
천 53
 
5.6%
광 52
 
5.5%
로 52
 
5.5%
층 40
 
4.2%
Other values (76) 324
34.1%
Decimal Number
ValueCountFrequency (%)
2 66
22.5%
1 65
22.2%
0 33
11.3%
3 24
 
8.2%
4 22
 
7.5%
5 21
 
7.2%
6 21
 
7.2%
8 16
 
5.5%
9 15
 
5.1%
7 10
 
3.4%
Space Separator
ValueCountFrequency (%)
280
100.0%
Other Punctuation
ValueCountFrequency (%)
, 80
100.0%
Close Punctuation
ValueCountFrequency (%)
) 52
100.0%
Open Punctuation
ValueCountFrequency (%)
( 52
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 949
55.4%
Common 763
44.5%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 112
 
11.8%
구 84
 
8.9%
인 67
 
7.1%
남 58
 
6.1%
시 54
 
5.7%
역 53
 
5.6%
천 53
 
5.6%
광 52
 
5.5%
로 52
 
5.5%
층 40
 
4.2%
Other values (76) 324
34.1%
Common
ValueCountFrequency (%)
280
36.7%
, 80
 
10.5%
2 66
 
8.7%
1 65
 
8.5%
) 52
 
6.8%
( 52
 
6.8%
0 33
 
4.3%
3 24
 
3.1%
4 22
 
2.9%
5 21
 
2.8%
Other values (6) 68
 
8.9%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 949
55.4%
ASCII 764
44.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
280
36.6%
, 80
 
10.5%
2 66
 
8.6%
1 65
 
8.5%
) 52
 
6.8%
( 52
 
6.8%
0 33
 
4.3%
3 24
 
3.1%
4 22
 
2.9%
5 21
 
2.7%
Other values (7) 69
 
9.0%
Hangul
ValueCountFrequency (%)
동 112
 
11.8%
구 84
 
8.9%
인 67
 
7.1%
남 58
 
6.1%
시 54
 
5.7%
역 53
 
5.6%
천 53
 
5.6%
광 52
 
5.5%
로 52
 
5.5%
층 40
 
4.2%
Other values (76) 324
34.1%

소재지번호
Text

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-12-12T22:27:07.316552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters624
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

Unique52 ?
Unique (%)100.0%

Sample

1st row032-433-5959
2nd row032-424-3000
3rd row032-427-5700
4th row032-425-7097
5th row032-461-1612
ValueCountFrequency (%)
032-433-5959 1
 
1.9%
032-424-3000 1
 
1.9%
032-462-9599 1
 
1.9%
032-469-9929 1
 
1.9%
032-461-9733 1
 
1.9%
032-421-2101 1
 
1.9%
032-813-9500 1
 
1.9%
032-437-7788 1
 
1.9%
032-438-0022 1
 
1.9%
032-423-2572 1
 
1.9%
Other values (42) 42
80.8%
2023-12-12T22:27:07.709791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 104
16.7%
2 95
15.2%
0 87
13.9%
3 85
13.6%
4 69
11.1%
9 36
 
5.8%
7 35
 
5.6%
1 32
 
5.1%
8 30
 
4.8%
6 28
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 520
83.3%
Dash Punctuation 104
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 95
18.3%
0 87
16.7%
3 85
16.3%
4 69
13.3%
9 36
 
6.9%
7 35
 
6.7%
1 32
 
6.2%
8 30
 
5.8%
6 28
 
5.4%
5 23
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 104
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 624
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 104
16.7%
2 95
15.2%
0 87
13.9%
3 85
13.6%
4 69
11.1%
9 36
 
5.8%
7 35
 
5.6%
1 32
 
5.1%
8 30
 
4.8%
6 28
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 624
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 104
16.7%
2 95
15.2%
0 87
13.9%
3 85
13.6%
4 69
11.1%
9 36
 
5.8%
7 35
 
5.6%
1 32
 
5.1%
8 30
 
4.8%
6 28
 
4.5%

업태명
Categorical

Distinct8
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size548.0 B
한식
35 
식육(숯불구이)
6 
중국식
4 
일식
 
2
탕류(보신용)
 
2
Other values (3)
 
3

Length

Max length8
Median length2
Mean length2.9807692
Min length2

Unique

Unique3 ?
Unique (%)5.8%

Sample

1st row한식
2nd row한식
3rd row식육(숯불구이)
4th row한식
5th row식육(숯불구이)

Common Values

ValueCountFrequency (%)
한식 35
67.3%
식육(숯불구이) 6
 
11.5%
중국식 4
 
7.7%
일식 2
 
3.8%
탕류(보신용) 2
 
3.8%
경양식 1
 
1.9%
분식 1
 
1.9%
횟집 1
 
1.9%

Length

2023-12-12T22:27:07.884558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:27:08.006528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한식 35
67.3%
식육(숯불구이 6
 
11.5%
중국식 4
 
7.7%
일식 2
 
3.8%
탕류(보신용 2
 
3.8%
경양식 1
 
1.9%
분식 1
 
1.9%
횟집 1
 
1.9%

주된음식
Text

Distinct47
Distinct (%)90.4%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-12-12T22:27:08.248289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length10.5
Mean length6.2692308
Min length2

Characters and Unicode

Total characters326
Distinct characters106
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

Unique44 ?
Unique (%)84.6%

Sample

1st row생등심, 해장국
2nd row생갈비, 양념갈비
3rd row소갈비
4th row돼지갈비, 불고기 쌈밥
5th row돼지갈비
ValueCountFrequency (%)
돼지갈비 5
 
6.6%
삼계탕 3
 
3.9%
해물탕 3
 
3.9%
생등심 3
 
3.9%
칼국수 2
 
2.6%
활어회 2
 
2.6%
양념갈비 2
 
2.6%
추어탕 2
 
2.6%
쌈밥 2
 
2.6%
샤브샤브 2
 
2.6%
Other values (48) 50
65.8%
2023-12-12T22:27:08.679627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25
 
7.7%
, 22
 
6.7%
탕 17
 
5.2%
갈 14
 
4.3%
비 14
 
4.3%
지 14
 
4.3%
돼 7
 
2.1%
해 7
 
2.1%
밥 7
 
2.1%
낙 6
 
1.8%
Other values (96) 193
59.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 279
85.6%
Space Separator 25
 
7.7%
Other Punctuation 22
 
6.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
탕 17
 
6.1%
갈 14
 
5.0%
비 14
 
5.0%
지 14
 
5.0%
돼 7
 
2.5%
해 7
 
2.5%
밥 7
 
2.5%
낙 6
 
2.2%
국 6
 
2.2%
생 5
 
1.8%
Other values (94) 182
65.2%
Space Separator
ValueCountFrequency (%)
25
100.0%
Other Punctuation
ValueCountFrequency (%)
, 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 279
85.6%
Common 47
 
14.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
탕 17
 
6.1%
갈 14
 
5.0%
비 14
 
5.0%
지 14
 
5.0%
돼 7
 
2.5%
해 7
 
2.5%
밥 7
 
2.5%
낙 6
 
2.2%
국 6
 
2.2%
생 5
 
1.8%
Other values (94) 182
65.2%
Common
ValueCountFrequency (%)
25
53.2%
, 22
46.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 279
85.6%
ASCII 47
 
14.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25
53.2%
, 22
46.8%
Hangul
ValueCountFrequency (%)
탕 17
 
6.1%
갈 14
 
5.0%
비 14
 
5.0%
지 14
 
5.0%
돼 7
 
2.5%
해 7
 
2.5%
밥 7
 
2.5%
낙 6
 
2.2%
국 6
 
2.2%
생 5
 
1.8%
Other values (94) 182
65.2%

Interactions

2023-12-12T22:27:04.993811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:27:08.802225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업소명도로명주소소재지번호업태명주된음식
연번1.0001.0001.0001.0000.0000.795
업소명1.0001.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.0001.000
소재지번호1.0001.0001.0001.0001.0001.000
업태명0.0001.0001.0001.0001.0000.988
주된음식0.7951.0001.0001.0000.9881.000
2023-12-12T22:27:08.907499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업태명
연번1.0000.000
업태명0.0001.000

Missing values

2023-12-12T22:27:05.116709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:27:05.241584image/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

연번업소명도로명주소소재지번호업태명주된음식
01삼화정인천광역시 남동구 남동대로922번길 14, 1층, 2층 전부호 (간석동)032-433-5959한식생등심, 해장국
12수림공원인천광역시 남동구 주안로 269, A동 1, 2, 3층 전부호 (간석동)032-424-3000한식생갈비, 양념갈비
23(주)통큰소한마리인천광역시 남동구 경원대로 960, 1층 (간석동)032-427-5700식육(숯불구이)소갈비
34우미가든인천광역시 남동구 남동대로916번길 54, 1층 (간석동)032-425-7097한식돼지갈비, 불고기 쌈밥
45신두리인천광역시 남동구 백범로 256, 1,2,3층 전부(간석동)032-461-1612식육(숯불구이)돼지갈비
56아트랑인천광역시 남동구 구월남로 151, 제1동 2층 (구월동, 우스빌딩)032-442-9995한식월남쌈, 샤브샤브
67유진초밥인천광역시 남동구 구월로 212, 1층 142호 (구월동, 힐캐슬프라자)032-461-4345일식생선초밥
78오아라쭈꾸미인천광역시 남동구 구월로 247 (구월동, 1층)032-435-3020한식주꾸미세트
89항아리칼국수보쌈인천광역시 남동구 구월로 247,1층일부 (구월동)032-466-4656한식칼국수, 보쌈
910명가원설농탕인천광역시 남동구 남동대로 780, 1,3층 (구월동)032-467-8800한식설농탕
연번업소명도로명주소소재지번호업태명주된음식
4243만수숯불갈비인천광역시 남동구 수현로 125 ,1,2층 (만수동)032-466-9900식육(숯불구이)돼지갈비
4344유달산인천광역시 남동구 인주대로 837 ,1층일부 (만수동)032-468-7732한식연포탕, 낙지철판볶음
4445석빈가든인천광역시 남동구 장승로 60, 1~2층 (만수동)032-472-1815한식돼지갈비
4546이화찹쌀순대인천광역시 남동구 장승로 88 (만수동)032-467-3050한식순대국밥, 모듬순대
4647청해횟집인천광역시 남동구 하촌로 56, 1층일부 (만수동)032-464-8850횟집활어회
4748바다해물탕.회전문점인천광역시 남동구 하촌로 58, 1층전부 (만수동)032-472-1199한식활어회, 해물탕
4849전가복인천광역시 남동구 하촌로59번길 24 (만수동)032-468-7869중국식짜장면
4950초심인천광역시 남동구 하촌로 63, 1, 2층 (만수동)032-471-0300한식돼지등갈비
5051육교추어탕인천광역시 남동구 수인로 3548 (운연동)032-466-3337한식추어탕
5152통돼지김치찌개전문점인천광역시 남동구 호구포로 214, 201호 (논현동,대진메디컬프라자 )032-421-9708한식통돼지김지찌개