Overview

Dataset statistics

Number of variables7
Number of observations114
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.5 KiB
Average record size in memory58.2 B

Variable types

Numeric1
Text3
Categorical2
DateTime1

Dataset

Description서울특별시 금천구 관내 위생관리등급평가 결과를 업소명, 인허가번호, 지정기관, 지정일자, 지정등급 등의 항목으로 제공하고 있습니다.
Author서울특별시 금천구
URLhttps://www.data.go.kr/data/3081147/fileData.do

Alerts

지정기관 has constant value ""Constant
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:12:35.316141
Analysis finished2023-12-12 09:12:35.965695
Duration0.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct114
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.5
Minimum1
Maximum114
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T18:12:36.045718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.65
Q129.25
median57.5
Q385.75
95-th percentile108.35
Maximum114
Range113
Interquartile range (IQR)56.5

Descriptive statistics

Standard deviation33.052988
Coefficient of variation (CV)0.57483457
Kurtosis-1.2
Mean57.5
Median Absolute Deviation (MAD)28.5
Skewness0
Sum6555
Variance1092.5
MonotonicityStrictly increasing
2023-12-12T18:12:36.191976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.9%
87 1
 
0.9%
85 1
 
0.9%
84 1
 
0.9%
83 1
 
0.9%
82 1
 
0.9%
81 1
 
0.9%
80 1
 
0.9%
79 1
 
0.9%
78 1
 
0.9%
Other values (104) 104
91.2%
ValueCountFrequency (%)
1 1
0.9%
2 1
0.9%
3 1
0.9%
4 1
0.9%
5 1
0.9%
6 1
0.9%
7 1
0.9%
8 1
0.9%
9 1
0.9%
10 1
0.9%
ValueCountFrequency (%)
114 1
0.9%
113 1
0.9%
112 1
0.9%
111 1
0.9%
110 1
0.9%
109 1
0.9%
108 1
0.9%
107 1
0.9%
106 1
0.9%
105 1
0.9%

업소명
Text

Distinct112
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-12T18:12:36.459664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length16
Mean length10.491228
Min length2

Characters and Unicode

Total characters1196
Distinct characters222
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique110 ?
Unique (%)96.5%

Sample

1st row본죽
2nd row(주)아워홈 가산디지털센터점
3rd row스타벅스 커피 가산그레이트
4th row스타벅스 가산에스케이점
5th row스타벅스가산디지털점
ValueCountFrequency (%)
스타벅스 9
 
4.3%
이디야 7
 
3.4%
빽다방 6
 
2.9%
배스킨라빈스 6
 
2.9%
굽네치킨 4
 
1.9%
금천시흥점 4
 
1.9%
독산사거리점 3
 
1.4%
시흥사거리점 3
 
1.4%
독산역점 3
 
1.4%
이디야커피 3
 
1.4%
Other values (129) 160
76.9%
2023-12-12T18:12:36.958020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
94
 
7.9%
점 88
 
7.4%
스 60
 
5.0%
산 57
 
4.8%
가 37
 
3.1%
킨 29
 
2.4%
이 26
 
2.2%
리 24
 
2.0%
시 22
 
1.8%
독 21
 
1.8%
Other values (212) 738
61.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1002
83.8%
Space Separator 94
 
7.9%
Decimal Number 31
 
2.6%
Uppercase Letter 29
 
2.4%
Lowercase Letter 18
 
1.5%
Open Punctuation 10
 
0.8%
Close Punctuation 10
 
0.8%
Other Symbol 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 88
 
8.8%
스 60
 
6.0%
산 57
 
5.7%
가 37
 
3.7%
킨 29
 
2.9%
이 26
 
2.6%
리 24
 
2.4%
시 22
 
2.2%
독 21
 
2.1%
디 20
 
2.0%
Other values (176) 618
61.7%
Uppercase Letter
ValueCountFrequency (%)
B 8
27.6%
C 6
20.7%
H 4
13.8%
P 2
 
6.9%
A 2
 
6.9%
S 2
 
6.9%
Q 1
 
3.4%
U 1
 
3.4%
L 1
 
3.4%
V 1
 
3.4%
Decimal Number
ValueCountFrequency (%)
0 7
22.6%
1 7
22.6%
2 6
19.4%
6 4
12.9%
4 2
 
6.5%
9 1
 
3.2%
5 1
 
3.2%
8 1
 
3.2%
3 1
 
3.2%
7 1
 
3.2%
Lowercase Letter
ValueCountFrequency (%)
b 4
22.2%
c 2
11.1%
h 2
11.1%
n 2
11.1%
i 2
11.1%
s 2
11.1%
r 1
 
5.6%
o 1
 
5.6%
a 1
 
5.6%
k 1
 
5.6%
Space Separator
ValueCountFrequency (%)
94
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1003
83.9%
Common 146
 
12.2%
Latin 47
 
3.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 88
 
8.8%
스 60
 
6.0%
산 57
 
5.7%
가 37
 
3.7%
킨 29
 
2.9%
이 26
 
2.6%
리 24
 
2.4%
시 22
 
2.2%
독 21
 
2.1%
디 20
 
2.0%
Other values (177) 619
61.7%
Latin
ValueCountFrequency (%)
B 8
17.0%
C 6
12.8%
b 4
 
8.5%
H 4
 
8.5%
c 2
 
4.3%
P 2
 
4.3%
A 2
 
4.3%
S 2
 
4.3%
h 2
 
4.3%
n 2
 
4.3%
Other values (11) 13
27.7%
Common
ValueCountFrequency (%)
94
64.4%
( 10
 
6.8%
) 10
 
6.8%
0 7
 
4.8%
1 7
 
4.8%
2 6
 
4.1%
6 4
 
2.7%
4 2
 
1.4%
9 1
 
0.7%
5 1
 
0.7%
Other values (4) 4
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1002
83.8%
ASCII 193
 
16.1%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
94
48.7%
( 10
 
5.2%
) 10
 
5.2%
B 8
 
4.1%
0 7
 
3.6%
1 7
 
3.6%
2 6
 
3.1%
C 6
 
3.1%
b 4
 
2.1%
6 4
 
2.1%
Other values (25) 37
 
19.2%
Hangul
ValueCountFrequency (%)
점 88
 
8.8%
스 60
 
6.0%
산 57
 
5.7%
가 37
 
3.7%
킨 29
 
2.9%
이 26
 
2.6%
리 24
 
2.4%
시 22
 
2.2%
독 21
 
2.1%
디 20
 
2.0%
Other values (176) 618
61.7%
None
ValueCountFrequency (%)
㈜ 1
100.0%

주소
Text

Distinct110
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-12T18:12:37.286520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length48.5
Mean length36.605263
Min length23

Characters and Unicode

Total characters4173
Distinct characters170
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

Unique106 ?
Unique (%)93.0%

Sample

1st row서울특별시 금천구 남부순환로 1432(지상1층 109호 독산동)
2nd row서울특별시 금천구 가산디지털1로 189(가산동,LG가산디지털센터 101호)
3rd row서울특별시 금천구 디지털로9길 32(가산동,갑을 그레이트밸리 102,103호)
4th row서울특별시 금천구 가산디지털1로 171(가산 에스케이 브이원 센터 1층 106,107,108호 가산동)
5th row서울특별시 금천구 가산디지털1로 168(B동 107,108호 가산동, 우림라이온스밸리)
ValueCountFrequency (%)
서울특별시 114
16.4%
금천구 114
16.4%
가산동 37
 
5.3%
독산동 31
 
4.5%
시흥동 30
 
4.3%
시흥대로 28
 
4.0%
1층 21
 
3.0%
가산디지털1로 15
 
2.2%
지상1층 12
 
1.7%
벚꽃로 12
 
1.7%
Other values (209) 282
40.5%
2023-12-12T18:12:37.824380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
582
 
13.9%
1 288
 
6.9%
시 189
 
4.5%
금 138
 
3.3%
산 132
 
3.2%
동 129
 
3.1%
천 127
 
3.0%
울 117
 
2.8%
구 116
 
2.8%
) 114
 
2.7%
Other values (160) 2241
53.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2510
60.1%
Decimal Number 746
 
17.9%
Space Separator 582
 
13.9%
Close Punctuation 114
 
2.7%
Open Punctuation 114
 
2.7%
Other Punctuation 65
 
1.6%
Uppercase Letter 30
 
0.7%
Dash Punctuation 10
 
0.2%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 189
 
7.5%
금 138
 
5.5%
산 132
 
5.3%
동 129
 
5.1%
천 127
 
5.1%
울 117
 
4.7%
구 116
 
4.6%
서 114
 
4.5%
별 114
 
4.5%
특 114
 
4.5%
Other values (128) 1220
48.6%
Uppercase Letter
ValueCountFrequency (%)
B 6
20.0%
T 4
13.3%
R 3
10.0%
A 2
 
6.7%
N 2
 
6.7%
L 2
 
6.7%
V 2
 
6.7%
U 1
 
3.3%
I 1
 
3.3%
G 1
 
3.3%
Other values (6) 6
20.0%
Decimal Number
ValueCountFrequency (%)
1 288
38.6%
0 100
 
13.4%
2 93
 
12.5%
3 43
 
5.8%
4 42
 
5.6%
6 41
 
5.5%
5 40
 
5.4%
9 35
 
4.7%
8 32
 
4.3%
7 32
 
4.3%
Space Separator
ValueCountFrequency (%)
582
100.0%
Close Punctuation
ValueCountFrequency (%)
) 114
100.0%
Open Punctuation
ValueCountFrequency (%)
( 114
100.0%
Other Punctuation
ValueCountFrequency (%)
, 65
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2510
60.1%
Common 1633
39.1%
Latin 30
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 189
 
7.5%
금 138
 
5.5%
산 132
 
5.3%
동 129
 
5.1%
천 127
 
5.1%
울 117
 
4.7%
구 116
 
4.6%
서 114
 
4.5%
별 114
 
4.5%
특 114
 
4.5%
Other values (128) 1220
48.6%
Common
ValueCountFrequency (%)
582
35.6%
1 288
17.6%
) 114
 
7.0%
( 114
 
7.0%
0 100
 
6.1%
2 93
 
5.7%
, 65
 
4.0%
3 43
 
2.6%
4 42
 
2.6%
6 41
 
2.5%
Other values (6) 151
 
9.2%
Latin
ValueCountFrequency (%)
B 6
20.0%
T 4
13.3%
R 3
10.0%
A 2
 
6.7%
N 2
 
6.7%
L 2
 
6.7%
V 2
 
6.7%
U 1
 
3.3%
I 1
 
3.3%
G 1
 
3.3%
Other values (6) 6
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2510
60.1%
ASCII 1663
39.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
582
35.0%
1 288
17.3%
) 114
 
6.9%
( 114
 
6.9%
0 100
 
6.0%
2 93
 
5.6%
, 65
 
3.9%
3 43
 
2.6%
4 42
 
2.5%
6 41
 
2.5%
Other values (22) 181
 
10.9%
Hangul
ValueCountFrequency (%)
시 189
 
7.5%
금 138
 
5.5%
산 132
 
5.3%
동 129
 
5.1%
천 127
 
5.1%
울 117
 
4.7%
구 116
 
4.6%
서 114
 
4.5%
별 114
 
4.5%
특 114
 
4.5%
Other values (128) 1220
48.6%

위생등급
Categorical

Distinct3
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
매우우수
95 
우수
12 
좋음
 
7

Length

Max length4
Median length4
Mean length3.6666667
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
매우우수 95
83.3%
우수 12
 
10.5%
좋음 7
 
6.1%

Length

2023-12-12T18:12:38.030172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:12:38.187734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
매우우수 95
83.3%
우수 12
 
10.5%
좋음 7
 
6.1%

지정번호
Text

Distinct113
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-12T18:12:38.485624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters1254
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique112 ?
Unique (%)98.2%

Sample

1st rowHG180001062
2nd rowHG190000405
3rd rowHG190001907
4th rowHG190001908
5th rowHG190001946
ValueCountFrequency (%)
hg230000952 2
 
1.8%
hg180001062 1
 
0.9%
hg220005509 1
 
0.9%
hg220007757 1
 
0.9%
hg220007688 1
 
0.9%
hg220007752 1
 
0.9%
hg220007739 1
 
0.9%
hg220006967 1
 
0.9%
hg220006050 1
 
0.9%
hg220006028 1
 
0.9%
Other values (103) 103
90.4%
2023-12-12T18:12:38.989548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 406
32.4%
2 199
15.9%
H 114
 
9.1%
G 114
 
9.1%
1 76
 
6.1%
5 73
 
5.8%
3 63
 
5.0%
9 58
 
4.6%
4 49
 
3.9%
6 40
 
3.2%
Other values (2) 62
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1026
81.8%
Uppercase Letter 228
 
18.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 406
39.6%
2 199
19.4%
1 76
 
7.4%
5 73
 
7.1%
3 63
 
6.1%
9 58
 
5.7%
4 49
 
4.8%
6 40
 
3.9%
8 31
 
3.0%
7 31
 
3.0%
Uppercase Letter
ValueCountFrequency (%)
H 114
50.0%
G 114
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1026
81.8%
Latin 228
 
18.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 406
39.6%
2 199
19.4%
1 76
 
7.4%
5 73
 
7.1%
3 63
 
6.1%
9 58
 
5.7%
4 49
 
4.8%
6 40
 
3.9%
8 31
 
3.0%
7 31
 
3.0%
Latin
ValueCountFrequency (%)
H 114
50.0%
G 114
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1254
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 406
32.4%
2 199
15.9%
H 114
 
9.1%
G 114
 
9.1%
1 76
 
6.1%
5 73
 
5.8%
3 63
 
5.0%
9 58
 
4.6%
4 49
 
3.9%
6 40
 
3.2%
Other values (2) 62
 
4.9%

지정일자
Date

Distinct61
Distinct (%)53.5%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum2021-10-12 00:00:00
Maximum2023-08-25 00:00:00
2023-12-12T18:12:39.180140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:12:39.387430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

지정기관
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
식약처
114 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식약처 114
100.0%

Length

2023-12-12T18:12:39.573590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:12:39.699875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식약처 114
100.0%

Interactions

2023-12-12T18:12:35.637143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T18:12:39.788422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위생등급지정일자
연번1.0000.2370.994
위생등급0.2371.0000.000
지정일자0.9940.0001.000
2023-12-12T18:12:39.908662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위생등급
연번1.0000.138
위생등급0.1381.000

Missing values

2023-12-12T18:12:35.773325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:12:35.912160image/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

연번업소명주소위생등급지정번호지정일자지정기관
01본죽서울특별시 금천구 남부순환로 1432(지상1층 109호 독산동)매우우수HG1800010622022-11-16식약처
12(주)아워홈 가산디지털센터점서울특별시 금천구 가산디지털1로 189(가산동,LG가산디지털센터 101호)매우우수HG1900004052023-05-27식약처
23스타벅스 커피 가산그레이트서울특별시 금천구 디지털로9길 32(가산동,갑을 그레이트밸리 102,103호)매우우수HG1900019072021-11-26식약처
34스타벅스 가산에스케이점서울특별시 금천구 가산디지털1로 171(가산 에스케이 브이원 센터 1층 106,107,108호 가산동)매우우수HG1900019082021-11-26식약처
45스타벅스가산디지털점서울특별시 금천구 가산디지털1로 168(B동 107,108호 가산동, 우림라이온스밸리)매우우수HG1900019462021-11-26식약처
56스타벅스 가산디지털단지역서울특별시 금천구 벚꽃로 298(지상1층 106호 가산동, 대륭포스트타워6차)매우우수HG1900020192021-11-26식약처
67베스킨라빈스 석수역점서울특별시 금천구 시흥대로 8(102호 시흥동, 아르스파크)매우우수HG2000010602022-03-27식약처
78이디야 박미삼거리점서울특별시 금천구 시흥대로 150(지상1층 시흥동)매우우수HG2000010882022-03-27식약처
89스타벅스커피 금천독산점서울특별시 금천구 두산로 70(지하1층 T-L108호 독산동, 현대지식산업센터)매우우수HG2000023682022-05-19식약처
910스타벅스 금천시흥점서울특별시 금천구 시흥대로 164(지상1층 시흥동)매우우수HG2000023972022-05-19식약처
연번업소명주소위생등급지정번호지정일자지정기관
104105홈플러스스토어즈㈜서울특별시 금천구 시흥대로 201(지하1층 시흥동)매우우수HG2300038592023-06-16식약처
105106홈플러스(주)조리제안서울특별시 금천구 시흥대로 201(지하1층 시흥동)매우우수HG2300038602023-06-16식약처
106107비비큐 금천시흥본점서울특별시 금천구 시흥대로 150(지상1층 시흥동)좋음HG2300038822023-06-16식약처
107108비비큐서울특별시 금천구 금하로1길 89(독산동,새마을길59)좋음HG2300045072023-07-06식약처
108109회가대표 초밥24서울특별시 금천구 시흥대로 315(금천롯데캐슬골드파크4차 104호 독산동)좋음HG2300045322023-07-06식약처
109110두마리찜닭 두찜 금천시흥점서울특별시 금천구 독산로 73(지상1층 일부호 시흥동)매우우수HG2300045502023-07-06식약처
110111홈플러스금천점초밥서울특별시 금천구 시흥대로 391(독산동)매우우수HG2300051552023-07-26식약처
111112홈플러스금천점(치킨코너)서울특별시 금천구 시흥대로 391(지상2층 독산동, 홈플러스금천점)매우우수HG2300051562023-07-26식약처
112113브이요거트 독산점서울특별시 금천구 시흥대로 432(1층 101호 독산동)우수HG2300051742023-07-26식약처
113114뚜레쥬르 독산지식센터점서울특별시 금천구 두산로 70(지하1층 티-엘110호 독산동, 현대지식산업센터)우수HG2300058962023-08-17식약처