Overview

Dataset statistics

Number of variables4
Number of observations4290
Missing cells12
Missing cells (%)0.1%
Duplicate rows302
Duplicate rows (%)7.0%
Total size in memory134.2 KiB
Average record size in memory32.0 B

Variable types

Categorical1
Text2
DateTime1

Dataset

Description대한민국 전라남도 광양시의 관내 식품위생업소현황에 대한 데이터(업종명, 업소명, 도로명 소재지)를 제공합니다.
Author전라남도 광양시
URLhttps://www.data.go.kr/data/15055336/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
Dataset has 302 (7.0%) duplicate rowsDuplicates

Reproduction

Analysis started2024-03-23 05:45:16.244002
Analysis finished2024-03-23 05:45:17.716392
Duration1.47 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

Distinct19
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size33.6 KiB
일반음식점
2521 
휴게음식점
531 
즉석판매제조가공업
342 
건강기능식품일반판매업
 
205
유흥주점영업
 
163
Other values (14)
528 

Length

Max length13
Median length5
Mean length5.8713287
Min length4

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 2521
58.8%
휴게음식점 531
 
12.4%
즉석판매제조가공업 342
 
8.0%
건강기능식품일반판매업 205
 
4.8%
유흥주점영업 163
 
3.8%
식품자동판매기영업 117
 
2.7%
제과점영업 82
 
1.9%
식품제조가공업 72
 
1.7%
위탁급식영업 60
 
1.4%
식품소분업 44
 
1.0%
Other values (9) 153
 
3.6%

Length

2024-03-23T14:45:17.857265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반음식점 2521
58.2%
휴게음식점 531
 
12.3%
즉석판매제조가공업 342
 
7.9%
건강기능식품일반판매업 205
 
4.7%
유흥주점영업 163
 
3.8%
식품자동판매기영업 117
 
2.7%
제과점영업 82
 
1.9%
집단급식소 77
 
1.8%
식품제조가공업 72
 
1.7%
위탁급식영업 60
 
1.4%
Other values (9) 158
 
3.7%

업소명
Text

Distinct3832
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Memory size33.6 KiB
2024-03-23T14:45:18.162935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length27
Mean length7.0030303
Min length1

Characters and Unicode

Total characters30043
Distinct characters906
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3403 ?
Unique (%)79.3%

Sample

1st row춘자황칠국밥
2nd row신포우리만두
3rd row성윤횟집
4th row부산식당
5th row진선(갱조개)
ValueCountFrequency (%)
광양점 102
 
1.9%
광양중마점 66
 
1.2%
중마점 64
 
1.2%
광양읍점 60
 
1.1%
세븐일레븐 49
 
0.9%
중동점 38
 
0.7%
씨유 29
 
0.5%
광영점 28
 
0.5%
이마트24 26
 
0.5%
광양중동점 22
 
0.4%
Other values (3879) 5023
91.2%
2024-03-23T14:45:18.728357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1217
 
4.1%
점 1123
 
3.7%
광 944
 
3.1%
양 898
 
3.0%
마 570
 
1.9%
이 520
 
1.7%
) 438
 
1.5%
( 428
 
1.4%
식 399
 
1.3%
스 356
 
1.2%
Other values (896) 23150
77.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25940
86.3%
Space Separator 1217
 
4.1%
Uppercase Letter 833
 
2.8%
Lowercase Letter 622
 
2.1%
Decimal Number 445
 
1.5%
Close Punctuation 438
 
1.5%
Open Punctuation 428
 
1.4%
Other Punctuation 99
 
0.3%
Dash Punctuation 10
 
< 0.1%
Other Symbol 7
 
< 0.1%
Other values (2) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 1123
 
4.3%
광 944
 
3.6%
양 898
 
3.5%
마 570
 
2.2%
이 520
 
2.0%
식 399
 
1.5%
스 356
 
1.4%
리 352
 
1.4%
중 315
 
1.2%
동 305
 
1.2%
Other values (819) 20158
77.7%
Uppercase Letter
ValueCountFrequency (%)
C 96
 
11.5%
G 62
 
7.4%
S 61
 
7.3%
B 60
 
7.2%
A 59
 
7.1%
F 48
 
5.8%
E 46
 
5.5%
L 39
 
4.7%
O 38
 
4.6%
K 36
 
4.3%
Other values (16) 288
34.6%
Lowercase Letter
ValueCountFrequency (%)
e 101
16.2%
o 63
 
10.1%
a 56
 
9.0%
i 40
 
6.4%
n 38
 
6.1%
f 36
 
5.8%
r 30
 
4.8%
s 28
 
4.5%
t 28
 
4.5%
u 27
 
4.3%
Other values (13) 175
28.1%
Decimal Number
ValueCountFrequency (%)
2 123
27.6%
1 54
12.1%
5 53
11.9%
0 47
 
10.6%
4 43
 
9.7%
9 35
 
7.9%
7 29
 
6.5%
8 27
 
6.1%
3 20
 
4.5%
6 14
 
3.1%
Other Punctuation
ValueCountFrequency (%)
& 62
62.6%
. 15
 
15.2%
, 6
 
6.1%
' 4
 
4.0%
! 3
 
3.0%
: 3
 
3.0%
· 3
 
3.0%
# 2
 
2.0%
? 1
 
1.0%
Other Symbol
ValueCountFrequency (%)
℃ 5
71.4%
㈜ 2
 
28.6%
Math Symbol
ValueCountFrequency (%)
~ 2
66.7%
+ 1
33.3%
Space Separator
ValueCountFrequency (%)
1217
100.0%
Close Punctuation
ValueCountFrequency (%)
) 438
100.0%
Open Punctuation
ValueCountFrequency (%)
( 428
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25922
86.3%
Common 2645
 
8.8%
Latin 1456
 
4.8%
Han 20
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 1123
 
4.3%
광 944
 
3.6%
양 898
 
3.5%
마 570
 
2.2%
이 520
 
2.0%
식 399
 
1.5%
스 356
 
1.4%
리 352
 
1.4%
중 315
 
1.2%
동 305
 
1.2%
Other values (802) 20140
77.7%
Latin
ValueCountFrequency (%)
e 101
 
6.9%
C 96
 
6.6%
o 63
 
4.3%
G 62
 
4.3%
S 61
 
4.2%
B 60
 
4.1%
A 59
 
4.1%
a 56
 
3.8%
F 48
 
3.3%
E 46
 
3.2%
Other values (40) 804
55.2%
Common
ValueCountFrequency (%)
1217
46.0%
) 438
 
16.6%
( 428
 
16.2%
2 123
 
4.7%
& 62
 
2.3%
1 54
 
2.0%
5 53
 
2.0%
0 47
 
1.8%
4 43
 
1.6%
9 35
 
1.3%
Other values (16) 145
 
5.5%
Han
ValueCountFrequency (%)
一 2
 
10.0%
眞 2
 
10.0%
月 1
 
5.0%
白 1
 
5.0%
美 1
 
5.0%
食 1
 
5.0%
日 1
 
5.0%
甲 1
 
5.0%
雲 1
 
5.0%
氷 1
 
5.0%
Other values (8) 8
40.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25914
86.3%
ASCII 4092
 
13.6%
CJK 19
 
0.1%
Compat Jamo 6
 
< 0.1%
Letterlike Symbols 5
 
< 0.1%
None 5
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1217
29.7%
) 438
 
10.7%
( 428
 
10.5%
2 123
 
3.0%
e 101
 
2.5%
C 96
 
2.3%
o 63
 
1.5%
& 62
 
1.5%
G 62
 
1.5%
S 61
 
1.5%
Other values (63) 1441
35.2%
Hangul
ValueCountFrequency (%)
점 1123
 
4.3%
광 944
 
3.6%
양 898
 
3.5%
마 570
 
2.2%
이 520
 
2.0%
식 399
 
1.5%
스 356
 
1.4%
리 352
 
1.4%
중 315
 
1.2%
동 305
 
1.2%
Other values (796) 20132
77.7%
Letterlike Symbols
ValueCountFrequency (%)
℃ 5
100.0%
None
ValueCountFrequency (%)
· 3
60.0%
㈜ 2
40.0%
CJK
ValueCountFrequency (%)
一 2
 
10.5%
眞 2
 
10.5%
月 1
 
5.3%
白 1
 
5.3%
美 1
 
5.3%
食 1
 
5.3%
日 1
 
5.3%
甲 1
 
5.3%
雲 1
 
5.3%
氷 1
 
5.3%
Other values (7) 7
36.8%
Compat Jamo
ValueCountFrequency (%)
ㅇ 2
33.3%
ㅗ 1
16.7%
ㅎ 1
16.7%
ㄴ 1
16.7%
ㅕ 1
16.7%
CJK Compat Ideographs
ValueCountFrequency (%)
樂 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

도로명 소재지
Text

Distinct3787
Distinct (%)88.5%
Missing12
Missing (%)0.3%
Memory size33.6 KiB
2024-03-23T14:45:19.240909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length52
Mean length30.252221
Min length18

Characters and Unicode

Total characters129419
Distinct characters339
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3336 ?
Unique (%)78.0%

Sample

1st row전라남도 광양시 영수길 67, 1층중일부 (광영동)
2nd row전라남도 광양시 광양읍 매천로 830 (1층)
3rd row전라남도 광양시 진월면 망덕길 277
4th row전라남도 광양시 진상면 신시4길 4 (2층충1층 전부)
5th row전라남도 광양시 진월면 선소중앙길 43
ValueCountFrequency (%)
전라남도 4279
 
15.8%
광양시 4279
 
15.8%
광양읍 1498
 
5.5%
중동 1163
 
4.3%
1층 657
 
2.4%
일부 486
 
1.8%
광영동 321
 
1.2%
1층중1층일부 292
 
1.1%
2층중1층일부 251
 
0.9%
3층중1층일부 246
 
0.9%
Other values (2184) 13598
50.2%
2024-03-23T14:45:20.381430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22795
 
17.6%
1 7127
 
5.5%
광 6875
 
5.3%
양 6033
 
4.7%
층 6001
 
4.6%
전 4964
 
3.8%
중 4937
 
3.8%
시 4544
 
3.5%
남 4339
 
3.4%
도 4314
 
3.3%
Other values (329) 57490
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 75018
58.0%
Space Separator 22795
 
17.6%
Decimal Number 19463
 
15.0%
Open Punctuation 3977
 
3.1%
Close Punctuation 3976
 
3.1%
Other Punctuation 3109
 
2.4%
Dash Punctuation 876
 
0.7%
Uppercase Letter 185
 
0.1%
Math Symbol 10
 
< 0.1%
Lowercase Letter 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 6875
 
9.2%
양 6033
 
8.0%
층 6001
 
8.0%
전 4964
 
6.6%
중 4937
 
6.6%
시 4544
 
6.1%
남 4339
 
5.8%
도 4314
 
5.8%
라 4305
 
5.7%
동 2975
 
4.0%
Other values (294) 25731
34.3%
Uppercase Letter
ValueCountFrequency (%)
L 49
26.5%
F 48
25.9%
C 35
18.9%
B 12
 
6.5%
A 11
 
5.9%
G 9
 
4.9%
S 6
 
3.2%
T 6
 
3.2%
H 2
 
1.1%
Y 2
 
1.1%
Other values (3) 5
 
2.7%
Decimal Number
ValueCountFrequency (%)
1 7127
36.6%
2 2969
15.3%
3 2084
 
10.7%
4 1485
 
7.6%
5 1234
 
6.3%
0 1093
 
5.6%
6 1023
 
5.3%
7 886
 
4.6%
8 820
 
4.2%
9 742
 
3.8%
Other Punctuation
ValueCountFrequency (%)
, 3100
99.7%
@ 5
 
0.2%
. 2
 
0.1%
/ 1
 
< 0.1%
· 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
22795
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3977
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3976
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 876
100.0%
Math Symbol
ValueCountFrequency (%)
~ 10
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 8
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 75020
58.0%
Common 54206
41.9%
Latin 193
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 6875
 
9.2%
양 6033
 
8.0%
층 6001
 
8.0%
전 4964
 
6.6%
중 4937
 
6.6%
시 4544
 
6.1%
남 4339
 
5.8%
도 4314
 
5.8%
라 4305
 
5.7%
동 2975
 
4.0%
Other values (295) 25733
34.3%
Common
ValueCountFrequency (%)
22795
42.1%
1 7127
 
13.1%
( 3977
 
7.3%
) 3976
 
7.3%
, 3100
 
5.7%
2 2969
 
5.5%
3 2084
 
3.8%
4 1485
 
2.7%
5 1234
 
2.3%
0 1093
 
2.0%
Other values (10) 4366
 
8.1%
Latin
ValueCountFrequency (%)
L 49
25.4%
F 48
24.9%
C 35
18.1%
B 12
 
6.2%
A 11
 
5.7%
G 9
 
4.7%
e 8
 
4.1%
S 6
 
3.1%
T 6
 
3.1%
H 2
 
1.0%
Other values (4) 7
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 75018
58.0%
ASCII 54398
42.0%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
22795
41.9%
1 7127
 
13.1%
( 3977
 
7.3%
) 3976
 
7.3%
, 3100
 
5.7%
2 2969
 
5.5%
3 2084
 
3.8%
4 1485
 
2.7%
5 1234
 
2.3%
0 1093
 
2.0%
Other values (23) 4558
 
8.4%
Hangul
ValueCountFrequency (%)
광 6875
 
9.2%
양 6033
 
8.0%
층 6001
 
8.0%
전 4964
 
6.6%
중 4937
 
6.6%
시 4544
 
6.1%
남 4339
 
5.8%
도 4314
 
5.8%
라 4305
 
5.7%
동 2975
 
4.0%
Other values (294) 25731
34.3%
None
ValueCountFrequency (%)
㈜ 2
66.7%
· 1
33.3%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.6 KiB
Minimum2024-03-14 00:00:00
Maximum2024-03-14 00:00:00
2024-03-23T14:45:20.570995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:45:20.741305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Missing values

2024-03-23T14:45:17.414605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T14:45:17.613986image/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

업종명업소명도로명 소재지데이터기준일자
0일반음식점춘자황칠국밥전라남도 광양시 영수길 67, 1층중일부 (광영동)2024-03-14
1일반음식점신포우리만두전라남도 광양시 광양읍 매천로 830 (1층)2024-03-14
2일반음식점성윤횟집전라남도 광양시 진월면 망덕길 2772024-03-14
3일반음식점부산식당전라남도 광양시 진상면 신시4길 4 (2층충1층 전부)2024-03-14
4일반음식점진선(갱조개)전라남도 광양시 진월면 선소중앙길 432024-03-14
5일반음식점두성유통(주)섬진강(순천)휴게소 한식&코바코돈가스전라남도 광양시 진월면 신답길 24-14, 2층중1층일부2024-03-14
6일반음식점두성유통(주)섬진강(부산)휴게소전라남도 광양시 진월면 섬진강매화로 1412024-03-14
7일반음식점대한식당전라남도 광양시 광양읍 매일시장길 12-152024-03-14
8일반음식점초남선창횟집전라남도 광양시 광양읍 제철로 499 (1층전부)2024-03-14
9일반음식점맥시칸 태인점전라남도 광양시 백운1로 155 (태인동)2024-03-14
업종명업소명도로명 소재지데이터기준일자
4280건강기능식품일반판매업워니바잉전라남도 광양시 광양읍 대림오성로 11, 104동 1706호 (대림아파트)2024-03-14
4281건강기능식품일반판매업미수다라라코리아전라남도 광양시 무등3길 4, 청림빌라 102호 (중동)2024-03-14
4282건강기능식품일반판매업노건전라남도 광양시 광양읍 유당로 216, 1층2024-03-14
4283건강기능식품일반판매업광양원예농협 로컬푸드직매장전라남도 광양시 광양읍 유당로 30, 1층중1층일부2024-03-14
4284건강기능식품일반판매업레버라이프전라남도 광양시 자작길 23, 105동 1001호 (마동, 중마노르웨이숲아파트)2024-03-14
4285건강기능식품일반판매업제이뷰티전라남도 광양시 눈소5길 85, 101호 일부 (마동)2024-03-14
4286건강기능식품일반판매업엘케이제이전라남도 광양시 광장로 120, 203동 703호 (중동, 태영2차아파트)2024-03-14
4287건강기능식품일반판매업동광양농협하나로마트 광영점전라남도 광양시 광포로 46, 4층중 2층 일부 (광영동)2024-03-14
4288건강기능식품일반판매업김소나상정전라남도 광양시 중마1길 21, 207동 1703호 (중동, 중마2차진아리채아파트)2024-03-14
4289건강기능식품유통전문판매업농업회사법인 해누리(유)전라남도 광양시 진월면 섬진강매화로 847-218 (1층중 1층 일부)2024-03-14

Duplicate rows

Most frequently occurring

업종명업소명도로명 소재지데이터기준일자# duplicates
0위탁급식영업(주)신세계푸드조선내화점전라남도 광양시 산업로 55 (태인동)2024-03-142
1위탁급식영업(주)정진홈푸드 대평점전라남도 광양시 항만7로 54 (도이동, 3층중 1층일부)2024-03-142
2위탁급식영업(주)정진홈푸드 세방점전라남도 광양시 컨부두로 460 (도이동, 5층중 지하1층 일부)2024-03-142
3위탁급식영업(주)정진홈푸드 에스엔엔씨점전라남도 광양시 제철로 2148-139, 1층중일부 (금호동)2024-03-142
4위탁급식영업(주)정진홈푸드 홈플러스광양점전라남도 광양시 항만11로 70 (중동,(2층중1층))2024-03-142
5위탁급식영업(주)풀무원푸드앤컬처 포스코플랜텍광양점전라남도 광양시 태인4길 2, 2층중 1층 전부층 (태인동, 포스코플랜텍)2024-03-142
6위탁급식영업(주)풀무원푸드앤컬처 허치슨포트광양전라남도 광양시 컨부두로 240, 4층중 지하1층 일부 (황길동)2024-03-142
7위탁급식영업(주)현대그린푸드 SKE&S 광양점전라남도 광양시 제철로 2148-567 (금호동, 1층일부)2024-03-142
8위탁급식영업(주)현대그린푸드 현대스틸산업 율촌공장전라남도 광양시 광양읍 율촌산단5로 177, 현대스틸산업(주) 공장 내2024-03-142
9위탁급식영업광양교통구내식당전라남도 광양시 광양읍 인덕로 1195 (2층중 1층 일부)2024-03-142