Overview

Dataset statistics

Number of variables5
Number of observations139
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.8 KiB
Average record size in memory42.9 B

Variable types

Numeric2
Categorical1
Text2

Dataset

Description식품접객업( 일반음식점, 휴게음식점, 제과점, 위탁급식영업, 유흥주점, 단란주점 등 ) 현황 중 면적이 300제곱미터 이상인 업소에 대한 설명입니다. 업소명, 업종명, 주소, 건물면적 설명 포함
Author공공데이터포털
URLhttps://www.data.go.kr/data/15048869/fileData.do

Alerts

순번 is highly overall correlated with 업종명High correlation
업종명 is highly overall correlated with 순번High correlation
순번 has unique valuesUnique
업소명 has unique valuesUnique
소재지(지번) has unique valuesUnique
영업장면적(건물내부+건물외부) has unique valuesUnique

Reproduction

Analysis started2024-04-17 17:56:09.656352
Analysis finished2024-04-17 17:56:10.282018
Duration0.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct139
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70
Minimum1
Maximum139
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-18T02:56:10.334340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.9
Q135.5
median70
Q3104.5
95-th percentile132.1
Maximum139
Range138
Interquartile range (IQR)69

Descriptive statistics

Standard deviation40.269923
Coefficient of variation (CV)0.57528461
Kurtosis-1.2
Mean70
Median Absolute Deviation (MAD)35
Skewness0
Sum9730
Variance1621.6667
MonotonicityStrictly increasing
2024-04-18T02:56:10.440222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
97 1
 
0.7%
91 1
 
0.7%
92 1
 
0.7%
93 1
 
0.7%
94 1
 
0.7%
95 1
 
0.7%
96 1
 
0.7%
98 1
 
0.7%
89 1
 
0.7%
Other values (129) 129
92.8%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
139 1
0.7%
138 1
0.7%
137 1
0.7%
136 1
0.7%
135 1
0.7%
134 1
0.7%
133 1
0.7%
132 1
0.7%
131 1
0.7%
130 1
0.7%

업종명
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
일반음식점
82 
위탁급식영업
22 
휴게음식점
21 
유흥주점영업
11 
제과점영업
 
2

Length

Max length6
Median length5
Mean length5.2302158
Min length4

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 82
59.0%
위탁급식영업 22
 
15.8%
휴게음식점 21
 
15.1%
유흥주점영업 11
 
7.9%
제과점영업 2
 
1.4%
단란주점 1
 
0.7%

Length

2024-04-18T02:56:10.561805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:56:10.659351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 82
59.0%
위탁급식영업 22
 
15.8%
휴게음식점 21
 
15.1%
유흥주점영업 11
 
7.9%
제과점영업 2
 
1.4%
단란주점 1
 
0.7%

업소명
Text

UNIQUE 

Distinct139
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-18T02:56:10.830836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length18
Mean length8.8633094
Min length2

Characters and Unicode

Total characters1232
Distinct characters303
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique139 ?
Unique (%)100.0%

Sample

1st row북경장
2nd row더하우스갑을
3rd row호텔동방블라썸
4th row호텔동방스카이라운지
5th row포시즌뷔페
ValueCountFrequency (%)
경상국립대학교 2
 
1.2%
돌잔치전문점 2
 
1.2%
진주신안점 2
 
1.2%
스타벅스 2
 
1.2%
진주점 2
 
1.2%
주)아이비푸드 2
 
1.2%
블랙홀 1
 
0.6%
크루즈 1
 
0.6%
밤밤 1
 
0.6%
바운스라이브 1
 
0.6%
Other values (157) 157
90.8%
2024-04-18T02:56:11.111716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 54
 
4.4%
점 39
 
3.2%
진 36
 
2.9%
34
 
2.8%
( 34
 
2.8%
) 34
 
2.8%
스 32
 
2.6%
이 26
 
2.1%
한 22
 
1.8%
식 20
 
1.6%
Other values (293) 901
73.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1069
86.8%
Uppercase Letter 35
 
2.8%
Space Separator 34
 
2.8%
Open Punctuation 34
 
2.8%
Close Punctuation 34
 
2.8%
Lowercase Letter 22
 
1.8%
Decimal Number 3
 
0.2%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 54
 
5.1%
점 39
 
3.6%
진 36
 
3.4%
스 32
 
3.0%
이 26
 
2.4%
한 22
 
2.1%
식 20
 
1.9%
우 19
 
1.8%
국 17
 
1.6%
리 17
 
1.6%
Other values (256) 787
73.6%
Uppercase Letter
ValueCountFrequency (%)
T 4
11.4%
D 4
11.4%
A 4
11.4%
E 3
 
8.6%
N 3
 
8.6%
M 2
 
5.7%
O 2
 
5.7%
U 2
 
5.7%
S 2
 
5.7%
H 1
 
2.9%
Other values (8) 8
22.9%
Lowercase Letter
ValueCountFrequency (%)
e 4
18.2%
o 4
18.2%
n 3
13.6%
i 2
9.1%
d 2
9.1%
f 1
 
4.5%
t 1
 
4.5%
v 1
 
4.5%
c 1
 
4.5%
s 1
 
4.5%
Other values (2) 2
9.1%
Decimal Number
ValueCountFrequency (%)
7 1
33.3%
3 1
33.3%
5 1
33.3%
Space Separator
ValueCountFrequency (%)
34
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1069
86.8%
Common 106
 
8.6%
Latin 57
 
4.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 54
 
5.1%
점 39
 
3.6%
진 36
 
3.4%
스 32
 
3.0%
이 26
 
2.4%
한 22
 
2.1%
식 20
 
1.9%
우 19
 
1.8%
국 17
 
1.6%
리 17
 
1.6%
Other values (256) 787
73.6%
Latin
ValueCountFrequency (%)
T 4
 
7.0%
D 4
 
7.0%
e 4
 
7.0%
o 4
 
7.0%
A 4
 
7.0%
E 3
 
5.3%
N 3
 
5.3%
n 3
 
5.3%
M 2
 
3.5%
O 2
 
3.5%
Other values (20) 24
42.1%
Common
ValueCountFrequency (%)
34
32.1%
( 34
32.1%
) 34
32.1%
7 1
 
0.9%
3 1
 
0.9%
5 1
 
0.9%
& 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1069
86.8%
ASCII 163
 
13.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 54
 
5.1%
점 39
 
3.6%
진 36
 
3.4%
스 32
 
3.0%
이 26
 
2.4%
한 22
 
2.1%
식 20
 
1.9%
우 19
 
1.8%
국 17
 
1.6%
리 17
 
1.6%
Other values (256) 787
73.6%
ASCII
ValueCountFrequency (%)
34
20.9%
( 34
20.9%
) 34
20.9%
T 4
 
2.5%
D 4
 
2.5%
e 4
 
2.5%
o 4
 
2.5%
A 4
 
2.5%
E 3
 
1.8%
N 3
 
1.8%
Other values (27) 35
21.5%

소재지(지번)
Text

UNIQUE 

Distinct139
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-18T02:56:11.337794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length41
Mean length29.294964
Min length18

Characters and Unicode

Total characters4072
Distinct characters204
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

Unique139 ?
Unique (%)100.0%

Sample

1st row경상남도 진주시 동성동 13-15 (1.2.3층)
2nd row경상남도 진주시 신안동 24-5 외1필지 갑을가든 A동 1층일부,2층일부
3rd row경상남도 진주시 옥봉동 803-4 동방호텔 3층일부,4층일부
4th row경상남도 진주시 옥봉동 803-4 동방호텔 10층 일부
5th row경상남도 진주시 칠암동 496-22 fourseasons
ValueCountFrequency (%)
경상남도 139
 
17.3%
진주시 139
 
17.3%
충무공동 23
 
2.9%
1층 22
 
2.7%
2층 18
 
2.2%
평거동 14
 
1.7%
일부 13
 
1.6%
칠암동 9
 
1.1%
1층일부 9
 
1.1%
정촌면 9
 
1.1%
Other values (296) 410
50.9%
2024-04-18T02:56:11.671667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
806
19.8%
1 235
 
5.8%
2 164
 
4.0%
주 161
 
4.0%
상 157
 
3.9%
진 150
 
3.7%
남 144
 
3.5%
경 143
 
3.5%
시 143
 
3.5%
도 141
 
3.5%
Other values (194) 1828
44.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2159
53.0%
Decimal Number 846
 
20.8%
Space Separator 806
 
19.8%
Dash Punctuation 112
 
2.8%
Other Punctuation 65
 
1.6%
Close Punctuation 29
 
0.7%
Open Punctuation 29
 
0.7%
Lowercase Letter 11
 
0.3%
Uppercase Letter 10
 
0.2%
Math Symbol 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 161
 
7.5%
상 157
 
7.3%
진 150
 
6.9%
남 144
 
6.7%
경 143
 
6.6%
시 143
 
6.6%
도 141
 
6.5%
동 137
 
6.3%
층 127
 
5.9%
일 49
 
2.3%
Other values (163) 807
37.4%
Decimal Number
ValueCountFrequency (%)
1 235
27.8%
2 164
19.4%
0 84
 
9.9%
3 59
 
7.0%
9 57
 
6.7%
7 54
 
6.4%
5 51
 
6.0%
4 51
 
6.0%
8 50
 
5.9%
6 41
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
s 3
27.3%
o 2
18.2%
n 1
 
9.1%
a 1
 
9.1%
e 1
 
9.1%
r 1
 
9.1%
u 1
 
9.1%
f 1
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
A 4
40.0%
D 2
20.0%
E 1
 
10.0%
B 1
 
10.0%
M 1
 
10.0%
S 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
, 52
80.0%
. 13
 
20.0%
Space Separator
ValueCountFrequency (%)
806
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 112
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2159
53.0%
Common 1892
46.5%
Latin 21
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 161
 
7.5%
상 157
 
7.3%
진 150
 
6.9%
남 144
 
6.7%
경 143
 
6.6%
시 143
 
6.6%
도 141
 
6.5%
동 137
 
6.3%
층 127
 
5.9%
일 49
 
2.3%
Other values (163) 807
37.4%
Common
ValueCountFrequency (%)
806
42.6%
1 235
 
12.4%
2 164
 
8.7%
- 112
 
5.9%
0 84
 
4.4%
3 59
 
3.1%
9 57
 
3.0%
7 54
 
2.9%
, 52
 
2.7%
5 51
 
2.7%
Other values (7) 218
 
11.5%
Latin
ValueCountFrequency (%)
A 4
19.0%
s 3
14.3%
o 2
9.5%
D 2
9.5%
E 1
 
4.8%
B 1
 
4.8%
n 1
 
4.8%
a 1
 
4.8%
e 1
 
4.8%
r 1
 
4.8%
Other values (4) 4
19.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2159
53.0%
ASCII 1913
47.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
806
42.1%
1 235
 
12.3%
2 164
 
8.6%
- 112
 
5.9%
0 84
 
4.4%
3 59
 
3.1%
9 57
 
3.0%
7 54
 
2.8%
, 52
 
2.7%
5 51
 
2.7%
Other values (21) 239
 
12.5%
Hangul
ValueCountFrequency (%)
주 161
 
7.5%
상 157
 
7.3%
진 150
 
6.9%
남 144
 
6.7%
경 143
 
6.6%
시 143
 
6.6%
도 141
 
6.5%
동 137
 
6.3%
층 127
 
5.9%
일 49
 
2.3%
Other values (163) 807
37.4%

영업장면적(건물내부+건물외부)
Real number (ℝ)

UNIQUE 

Distinct139
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean598.76763
Minimum301.49
Maximum4565.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-18T02:56:11.782546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum301.49
5-th percentile311.693
Q1346.645
median421.3
Q3610.64
95-th percentile1515.553
Maximum4565.62
Range4264.13
Interquartile range (IQR)263.995

Descriptive statistics

Standard deviation561.92309
Coefficient of variation (CV)0.93846605
Kurtosis24.300461
Mean598.76763
Median Absolute Deviation (MAD)88.6
Skewness4.4529092
Sum83228.7
Variance315757.56
MonotonicityNot monotonic
2024-04-18T02:56:11.909167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
302.46 1
 
0.7%
393.57 1
 
0.7%
313.0 1
 
0.7%
324.49 1
 
0.7%
1624.98 1
 
0.7%
339.38 1
 
0.7%
551.04 1
 
0.7%
427.08 1
 
0.7%
368.48 1
 
0.7%
339.91 1
 
0.7%
Other values (129) 129
92.8%
ValueCountFrequency (%)
301.49 1
0.7%
301.61 1
0.7%
302.46 1
0.7%
303.06 1
0.7%
304.21 1
0.7%
309.23 1
0.7%
309.47 1
0.7%
311.94 1
0.7%
312.0 1
0.7%
312.52 1
0.7%
ValueCountFrequency (%)
4565.62 1
0.7%
3364.19 1
0.7%
3229.05 1
0.7%
1648.33 1
0.7%
1624.98 1
0.7%
1586.12 1
0.7%
1555.0 1
0.7%
1511.17 1
0.7%
1440.85 1
0.7%
1423.73 1
0.7%

Interactions

2024-04-18T02:56:10.044889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T02:56:09.914487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T02:56:10.108979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T02:56:09.984863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-18T02:56:11.990573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번업종명영업장면적(건물내부+건물외부)
순번1.0000.8510.127
업종명0.8511.0000.074
영업장면적(건물내부+건물외부)0.1270.0741.000
2024-04-18T02:56:12.078372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번영업장면적(건물내부+건물외부)업종명
순번1.0000.0340.657
영업장면적(건물내부+건물외부)0.0341.0000.048
업종명0.6570.0481.000

Missing values

2024-04-18T02:56:10.182758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-18T02:56:10.251987image/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

순번업종명업소명소재지(지번)영업장면적(건물내부+건물외부)
01일반음식점북경장경상남도 진주시 동성동 13-15 (1.2.3층)302.46
12일반음식점더하우스갑을경상남도 진주시 신안동 24-5 외1필지 갑을가든 A동 1층일부,2층일부936.0
23일반음식점호텔동방블라썸경상남도 진주시 옥봉동 803-4 동방호텔 3층일부,4층일부1423.73
34일반음식점호텔동방스카이라운지경상남도 진주시 옥봉동 803-4 동방호텔 10층 일부781.5
45일반음식점포시즌뷔페경상남도 진주시 칠암동 496-22 fourseasons1440.85
56일반음식점진양호밀면경상남도 진주시 평거동 398-10 외1필지 2층322.47
67일반음식점레이크사이드 컨벤션(Lake side convention)경상남도 진주시 판문동 469-5 번지(1층.2층)421.3
78일반음식점목넴기숯불갈비식육식당경상남도 진주시 강남동 199-3 번지(1.2층)313.72
89일반음식점양가돈경상남도 진주시 평거동 786-1 2층332.49
910일반음식점망경횟집경상남도 진주시 망경동 96-5396.65
순번업종명업소명소재지(지번)영업장면적(건물내부+건물외부)
129130위탁급식영업(주)아이비푸드 중소기업벤처진흥공단경상남도 진주시 충무공동 16-4 중소기업진흥공단454.53
130131위탁급식영업푸디스트(주)한국남동발전(주)경상남도 진주시 충무공동 225-5 한국남동발전786.0
131132위탁급식영업한국국제대식당경상남도 진주시 문산읍 상문리 48 한국국제대학교876.38
132133위탁급식영업푸디스트(주)공군신교대점경상남도 진주시 금산면 송백리 산 1 1층, 2층, 3층 일부4565.62
133134위탁급식영업(주)우리들에프앤씨경상남도 진주시 정촌면 예하리 1238-5 복지동 1층일부357.0
134135위탁급식영업(주)해피맘 신흥본사점경상남도 진주시 상평동 156-1 (주)신흥 E동 1층일부400.09
135136위탁급식영업(주)동원홈푸드 경상국립대학교 학생생활관식당경상남도 진주시 가좌동 900 경상국립대학교 가좌캠퍼스 학생생활관1648.33
136137위탁급식영업후레쉬케터링(주)국방기술품질원경상남도 진주시 충무공동 16-3 국방기술품질원400.0
137138제과점영업윤연당(진주제빵소)경상남도 진주시 충무공동 35 롯데아울렛 진주점 1층일부301.49
138139제과점영업하우스오브금산(HAUS of GEUMSAN BAKERY CAFE)경상남도 진주시 금산면 장사리 806 1층, 2층494.32