Overview

Dataset statistics

Number of variables6
Number of observations185
Missing cells47
Missing cells (%)4.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.8 KiB
Average record size in memory48.7 B

Variable types

Text3
Categorical2
DateTime1

Dataset

Description인천광역시 중구 음식점 위생등급제 지정업소에 대한 정보입니다.파일명 인천광역시 중구 음식점위생등급제지정업소현황내용 업소명, 주소, 영업시간 등
Author인천광역시 중구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15075091&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일자 has constant value ""Constant
전화번호 has 47 (25.4%) missing valuesMissing

Reproduction

Analysis started2024-01-28 10:46:06.149272
Analysis finished2024-01-28 10:46:06.593550
Duration0.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

음식점 위생등급제 지정업소
Text

Distinct183
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-01-28T19:46:06.748608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length25
Mean length12.432432
Min length2

Characters and Unicode

Total characters2300
Distinct characters296
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

Unique182 ?
Unique (%)98.4%

Sample

1st row교촌치킨 공항신도시점
2nd row배스킨라빈스 인하대병원점
3rd row빌라드샬롯카페 인천공항T1 1F
4th row스타벅스 인천공항T2입국
5th row스타벅스인천공항랜드점
ValueCountFrequency (%)
인천공항 11
 
2.9%
배스킨라빈스 10
 
2.6%
영종하늘도시점 9
 
2.4%
던킨도너츠 9
 
2.4%
파리바게뜨 8
 
2.1%
잠바주스 7
 
1.8%
인천공항점 7
 
1.8%
엔제리너스 5
 
1.3%
커피앳웍스 5
 
1.3%
스타벅스 5
 
1.3%
Other values (236) 306
80.1%
2024-01-28T19:46:07.087268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
197
 
8.6%
점 130
 
5.7%
스 89
 
3.9%
인 88
 
3.8%
천 87
 
3.8%
공 77
 
3.3%
항 76
 
3.3%
리 40
 
1.7%
도 37
 
1.6%
이 34
 
1.5%
Other values (286) 1445
62.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1797
78.1%
Space Separator 197
 
8.6%
Uppercase Letter 87
 
3.8%
Decimal Number 79
 
3.4%
Lowercase Letter 71
 
3.1%
Open Punctuation 30
 
1.3%
Close Punctuation 29
 
1.3%
Other Punctuation 8
 
0.3%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 130
 
7.2%
스 89
 
5.0%
인 88
 
4.9%
천 87
 
4.8%
공 77
 
4.3%
항 76
 
4.2%
리 40
 
2.2%
도 37
 
2.1%
이 34
 
1.9%
영 29
 
1.6%
Other values (234) 1110
61.8%
Lowercase Letter
ValueCountFrequency (%)
e 11
15.5%
a 8
11.3%
r 6
 
8.5%
o 6
 
8.5%
k 5
 
7.0%
f 5
 
7.0%
b 4
 
5.6%
s 4
 
5.6%
c 4
 
5.6%
j 3
 
4.2%
Other values (10) 15
21.1%
Uppercase Letter
ValueCountFrequency (%)
T 29
33.3%
F 8
 
9.2%
C 7
 
8.0%
E 6
 
6.9%
O 6
 
6.9%
A 6
 
6.9%
S 5
 
5.7%
G 4
 
4.6%
B 3
 
3.4%
D 3
 
3.4%
Other values (6) 10
 
11.5%
Decimal Number
ValueCountFrequency (%)
2 33
41.8%
1 24
30.4%
3 7
 
8.9%
0 4
 
5.1%
6 4
 
5.1%
4 3
 
3.8%
5 2
 
2.5%
7 1
 
1.3%
8 1
 
1.3%
Other Punctuation
ValueCountFrequency (%)
/ 3
37.5%
& 3
37.5%
@ 2
25.0%
Space Separator
ValueCountFrequency (%)
197
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1797
78.1%
Common 345
 
15.0%
Latin 158
 
6.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 130
 
7.2%
스 89
 
5.0%
인 88
 
4.9%
천 87
 
4.8%
공 77
 
4.3%
항 76
 
4.2%
리 40
 
2.2%
도 37
 
2.1%
이 34
 
1.9%
영 29
 
1.6%
Other values (234) 1110
61.8%
Latin
ValueCountFrequency (%)
T 29
18.4%
e 11
 
7.0%
a 8
 
5.1%
F 8
 
5.1%
C 7
 
4.4%
E 6
 
3.8%
O 6
 
3.8%
A 6
 
3.8%
r 6
 
3.8%
o 6
 
3.8%
Other values (26) 65
41.1%
Common
ValueCountFrequency (%)
197
57.1%
2 33
 
9.6%
( 30
 
8.7%
) 29
 
8.4%
1 24
 
7.0%
3 7
 
2.0%
0 4
 
1.2%
6 4
 
1.2%
4 3
 
0.9%
/ 3
 
0.9%
Other values (6) 11
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1797
78.1%
ASCII 503
 
21.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
197
39.2%
2 33
 
6.6%
( 30
 
6.0%
) 29
 
5.8%
T 29
 
5.8%
1 24
 
4.8%
e 11
 
2.2%
a 8
 
1.6%
F 8
 
1.6%
3 7
 
1.4%
Other values (42) 127
25.2%
Hangul
ValueCountFrequency (%)
점 130
 
7.2%
스 89
 
5.0%
인 88
 
4.9%
천 87
 
4.8%
공 77
 
4.3%
항 76
 
4.2%
리 40
 
2.2%
도 37
 
2.1%
이 34
 
1.9%
영 29
 
1.6%
Other values (234) 1110
61.8%

주소
Text

Distinct127
Distinct (%)68.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-01-28T19:46:07.265872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length54
Mean length41.124324
Min length24

Characters and Unicode

Total characters7608
Distinct characters195
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique112 ?
Unique (%)60.5%

Sample

1st row인천광역시 중구 신도시남로150번길 6, 덕양프라자 102호 (운서동)
2nd row인천광역시 중구 인항로 27 (신흥동3가, 인하대병원 지하1층)
3rd row인천광역시 중구 공항로 272, 인천공항 제1여객터미널1층 FB-P3-05호 (운서동)
4th row인천광역시 중구 제2터미널대로 446, 인천공항제2터미널 일반동 1층 (운서동)
5th row인천광역시 중구 공항로 272, 일반동 지하1층 (운서동, 인천국제공항여객터미널)
ValueCountFrequency (%)
인천광역시 185
 
13.1%
중구 185
 
13.1%
운서동 134
 
9.5%
공항로 71
 
5.0%
272 68
 
4.8%
1층 64
 
4.5%
3층 45
 
3.2%
인천국제공항여객터미널 34
 
2.4%
일반동 32
 
2.3%
면세동 27
 
1.9%
Other values (256) 564
40.0%
2024-01-28T19:46:07.561544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1225
 
16.1%
1 314
 
4.1%
인 287
 
3.8%
2 287
 
3.8%
천 281
 
3.7%
, 276
 
3.6%
동 266
 
3.5%
중 217
 
2.9%
시 202
 
2.7%
역 189
 
2.5%
Other values (185) 4064
53.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4451
58.5%
Space Separator 1225
 
16.1%
Decimal Number 1192
 
15.7%
Other Punctuation 278
 
3.7%
Close Punctuation 188
 
2.5%
Open Punctuation 188
 
2.5%
Dash Punctuation 47
 
0.6%
Uppercase Letter 37
 
0.5%
Lowercase Letter 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 287
 
6.4%
천 281
 
6.3%
동 266
 
6.0%
중 217
 
4.9%
시 202
 
4.5%
역 189
 
4.2%
구 185
 
4.2%
광 185
 
4.2%
로 185
 
4.2%
층 171
 
3.8%
Other values (158) 2283
51.3%
Decimal Number
ValueCountFrequency (%)
1 314
26.3%
2 287
24.1%
4 104
 
8.7%
3 101
 
8.5%
0 100
 
8.4%
7 100
 
8.4%
6 65
 
5.5%
5 55
 
4.6%
8 44
 
3.7%
9 22
 
1.8%
Uppercase Letter
ValueCountFrequency (%)
B 9
24.3%
F 8
21.6%
P 8
21.6%
K 3
 
8.1%
M 3
 
8.1%
S 2
 
5.4%
L 2
 
5.4%
C 1
 
2.7%
E 1
 
2.7%
Other Punctuation
ValueCountFrequency (%)
, 276
99.3%
/ 2
 
0.7%
Space Separator
ValueCountFrequency (%)
1225
100.0%
Close Punctuation
ValueCountFrequency (%)
) 188
100.0%
Open Punctuation
ValueCountFrequency (%)
( 188
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 47
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4451
58.5%
Common 3119
41.0%
Latin 38
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 287
 
6.4%
천 281
 
6.3%
동 266
 
6.0%
중 217
 
4.9%
시 202
 
4.5%
역 189
 
4.2%
구 185
 
4.2%
광 185
 
4.2%
로 185
 
4.2%
층 171
 
3.8%
Other values (158) 2283
51.3%
Common
ValueCountFrequency (%)
1225
39.3%
1 314
 
10.1%
2 287
 
9.2%
, 276
 
8.8%
) 188
 
6.0%
( 188
 
6.0%
4 104
 
3.3%
3 101
 
3.2%
0 100
 
3.2%
7 100
 
3.2%
Other values (7) 236
 
7.6%
Latin
ValueCountFrequency (%)
B 9
23.7%
F 8
21.1%
P 8
21.1%
K 3
 
7.9%
M 3
 
7.9%
S 2
 
5.3%
L 2
 
5.3%
C 1
 
2.6%
e 1
 
2.6%
E 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4451
58.5%
ASCII 3157
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1225
38.8%
1 314
 
9.9%
2 287
 
9.1%
, 276
 
8.7%
) 188
 
6.0%
( 188
 
6.0%
4 104
 
3.3%
3 101
 
3.2%
0 100
 
3.2%
7 100
 
3.2%
Other values (17) 274
 
8.7%
Hangul
ValueCountFrequency (%)
인 287
 
6.4%
천 281
 
6.3%
동 266
 
6.0%
중 217
 
4.9%
시 202
 
4.5%
역 189
 
4.2%
구 185
 
4.2%
광 185
 
4.2%
로 185
 
4.2%
층 171
 
3.8%
Other values (158) 2283
51.3%

업종명
Categorical

Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
일반음식점
71 
휴게음식점
67 
제과점영업
47 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반음식점
2nd row휴게음식점
3rd row휴게음식점
4th row휴게음식점
5th row휴게음식점

Common Values

ValueCountFrequency (%)
일반음식점 71
38.4%
휴게음식점 67
36.2%
제과점영업 47
25.4%

Length

2024-01-28T19:46:07.661531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T19:46:07.743549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 71
38.4%
휴게음식점 67
36.2%
제과점영업 47
25.4%

음식점 위생등급제 지정종료일
Date

Distinct89
Distinct (%)48.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2023-09-26 00:00:00
Maximum2025-08-22 00:00:00
2024-01-28T19:46:07.829906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T19:46:07.948647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

전화번호
Text

MISSING 

Distinct117
Distinct (%)84.8%
Missing47
Missing (%)25.4%
Memory size1.6 KiB
2024-01-28T19:46:08.163073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.891304
Min length8

Characters and Unicode

Total characters1641
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

Unique105 ?
Unique (%)76.1%

Sample

1st row032-746-5810
2nd row032-863-4343
3rd row02-709-1114
4th row02-3015-1179
5th row032-743-8257
ValueCountFrequency (%)
02-709-1114 5
 
3.6%
032-745-1234 4
 
2.9%
032-743-6280 4
 
2.9%
02-3015-1179 3
 
2.2%
02-2276-4755 3
 
2.2%
032-743-6970 2
 
1.4%
1833-8855 2
 
1.4%
032-743-9000 2
 
1.4%
032-743-6250 2
 
1.4%
032-743-3011 2
 
1.4%
Other values (107) 109
79.0%
2024-01-28T19:46:08.474536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 271
16.5%
3 236
14.4%
0 235
14.3%
2 201
12.2%
7 199
12.1%
4 129
7.9%
1 106
 
6.5%
5 86
 
5.2%
8 71
 
4.3%
6 62
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1370
83.5%
Dash Punctuation 271
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 236
17.2%
0 235
17.2%
2 201
14.7%
7 199
14.5%
4 129
9.4%
1 106
7.7%
5 86
 
6.3%
8 71
 
5.2%
6 62
 
4.5%
9 45
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 271
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1641
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 271
16.5%
3 236
14.4%
0 235
14.3%
2 201
12.2%
7 199
12.1%
4 129
7.9%
1 106
 
6.5%
5 86
 
5.2%
8 71
 
4.3%
6 62
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1641
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 271
16.5%
3 236
14.4%
0 235
14.3%
2 201
12.2%
7 199
12.1%
4 129
7.9%
1 106
 
6.5%
5 86
 
5.2%
8 71
 
4.3%
6 62
 
3.8%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-08-25
185 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-25
2nd row2023-08-25
3rd row2023-08-25
4th row2023-08-25
5th row2023-08-25

Common Values

ValueCountFrequency (%)
2023-08-25 185
100.0%

Length

2024-01-28T19:46:08.578721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T19:46:08.649266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-25 185
100.0%

Correlations

2024-01-28T19:46:08.691803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종명음식점 위생등급제 지정종료일
업종명1.0000.821
음식점 위생등급제 지정종료일0.8211.000

Missing values

2024-01-28T19:46:06.483077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T19:46:06.561796image/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

음식점 위생등급제 지정업소주소업종명음식점 위생등급제 지정종료일전화번호데이터기준일자
0교촌치킨 공항신도시점인천광역시 중구 신도시남로150번길 6, 덕양프라자 102호 (운서동)일반음식점2023-09-26032-746-58102023-08-25
1배스킨라빈스 인하대병원점인천광역시 중구 인항로 27 (신흥동3가, 인하대병원 지하1층)휴게음식점2023-10-12032-863-43432023-08-25
2빌라드샬롯카페 인천공항T1 1F인천광역시 중구 공항로 272, 인천공항 제1여객터미널1층 FB-P3-05호 (운서동)휴게음식점2023-10-1302-709-11142023-08-25
3스타벅스 인천공항T2입국인천광역시 중구 제2터미널대로 446, 인천공항제2터미널 일반동 1층 (운서동)휴게음식점2023-10-1602-3015-11792023-08-25
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