Overview

Dataset statistics

Number of variables5
Number of observations4159
Missing cells0
Missing cells (%)0.0%
Duplicate rows104
Duplicate rows (%)2.5%
Total size in memory162.6 KiB
Average record size in memory40.0 B

Variable types

Categorical2
Text3

Dataset

Description기준일 시점의 각 읍면별 상품권 가맹점 등록 현황, 가맹점별로 업종 및 구분으로 분류하여 가맹점 등록 파악 용이하도록 제공.
Author공공데이터포털
URLhttps://www.data.go.kr/data/15099973/fileData.do

Alerts

Dataset has 104 (2.5%) duplicate rowsDuplicates

Reproduction

Analysis started2024-04-21 20:42:45.377774
Analysis finished2024-04-21 20:42:47.096968
Duration1.72 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

읍면
Categorical

Distinct15
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size32.6 KiB
해남읍
2271 
문내면
289 
송지면
256 
북평면
 
216
삼산면
 
202
Other values (10)
925 

Length

Max length4
Median length3
Mean length3.0012022
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
해남읍 2271
54.6%
문내면 289
 
6.9%
송지면 256
 
6.2%
북평면 216
 
5.2%
삼산면 202
 
4.9%
황산면 195
 
4.7%
옥천면 121
 
2.9%
화산면 114
 
2.7%
산이면 112
 
2.7%
화원면 111
 
2.7%
Other values (5) 272
 
6.5%

Length

2024-04-22T05:42:47.321284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
해남읍 2271
54.6%
문내면 289
 
6.9%
송지면 256
 
6.2%
북평면 216
 
5.2%
삼산면 202
 
4.9%
황산면 195
 
4.7%
옥천면 121
 
2.9%
산이면 117
 
2.8%
화산면 114
 
2.7%
화원면 111
 
2.7%
Other values (4) 267
 
6.4%

상호명
Text

Distinct3907
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size32.6 KiB
2024-04-22T05:42:48.148235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length21
Mean length6.6489541
Min length1

Characters and Unicode

Total characters27653
Distinct characters828
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3714 ?
Unique (%)89.3%

Sample

1st row비비안해남전문점
2nd row고도5일시장(해남지업사)
3rd row대흥신발
4th row미원슈퍼
5th row대한당
ValueCountFrequency (%)
개인택시 113
 
2.3%
전남26바 103
 
2.1%
해남점 74
 
1.5%
주식회사 34
 
0.7%
농업회사법인 26
 
0.5%
아모레 18
 
0.4%
세븐일레븐 18
 
0.4%
유한회사 17
 
0.3%
영농조합법인 11
 
0.2%
gs25 11
 
0.2%
Other values (4088) 4504
91.4%
2024-04-22T05:42:49.396531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
779
 
2.8%
남 770
 
2.8%
해 572
 
2.1%
장 547
 
2.0%
) 544
 
2.0%
( 543
 
2.0%
시 528
 
1.9%
일 525
 
1.9%
사 367
 
1.3%
이 364
 
1.3%
Other values (818) 22114
80.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24350
88.1%
Decimal Number 1024
 
3.7%
Space Separator 779
 
2.8%
Close Punctuation 544
 
2.0%
Open Punctuation 543
 
2.0%
Uppercase Letter 215
 
0.8%
Lowercase Letter 101
 
0.4%
Other Symbol 44
 
0.2%
Other Punctuation 42
 
0.2%
Dash Punctuation 9
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 770
 
3.2%
해 572
 
2.3%
장 547
 
2.2%
시 528
 
2.2%
일 525
 
2.2%
사 367
 
1.5%
이 364
 
1.5%
산 363
 
1.5%
점 363
 
1.5%
인 325
 
1.3%
Other values (747) 19626
80.6%
Uppercase Letter
ValueCountFrequency (%)
S 27
12.6%
C 25
 
11.6%
G 20
 
9.3%
E 16
 
7.4%
P 12
 
5.6%
O 12
 
5.6%
B 10
 
4.7%
U 10
 
4.7%
T 10
 
4.7%
L 9
 
4.2%
Other values (13) 64
29.8%
Lowercase Letter
ValueCountFrequency (%)
e 17
16.8%
h 9
 
8.9%
o 9
 
8.9%
s 8
 
7.9%
n 7
 
6.9%
r 6
 
5.9%
i 6
 
5.9%
t 6
 
5.9%
a 5
 
5.0%
u 4
 
4.0%
Other values (13) 24
23.8%
Decimal Number
ValueCountFrequency (%)
5 318
31.1%
2 262
25.6%
0 132
12.9%
6 130
12.7%
1 48
 
4.7%
3 32
 
3.1%
8 29
 
2.8%
4 26
 
2.5%
9 24
 
2.3%
7 23
 
2.2%
Other Punctuation
ValueCountFrequency (%)
, 15
35.7%
& 14
33.3%
. 4
 
9.5%
# 3
 
7.1%
/ 2
 
4.8%
' 2
 
4.8%
: 1
 
2.4%
! 1
 
2.4%
Space Separator
ValueCountFrequency (%)
779
100.0%
Close Punctuation
ValueCountFrequency (%)
) 544
100.0%
Open Punctuation
ValueCountFrequency (%)
( 543
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 44
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Math Symbol
ValueCountFrequency (%)
= 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24391
88.2%
Common 2943
 
10.6%
Latin 316
 
1.1%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 770
 
3.2%
해 572
 
2.3%
장 547
 
2.2%
시 528
 
2.2%
일 525
 
2.2%
사 367
 
1.5%
이 364
 
1.5%
산 363
 
1.5%
점 363
 
1.5%
인 325
 
1.3%
Other values (746) 19667
80.6%
Latin
ValueCountFrequency (%)
S 27
 
8.5%
C 25
 
7.9%
G 20
 
6.3%
e 17
 
5.4%
E 16
 
5.1%
P 12
 
3.8%
O 12
 
3.8%
B 10
 
3.2%
U 10
 
3.2%
T 10
 
3.2%
Other values (36) 157
49.7%
Common
ValueCountFrequency (%)
779
26.5%
) 544
18.5%
( 543
18.5%
5 318
10.8%
2 262
 
8.9%
0 132
 
4.5%
6 130
 
4.4%
1 48
 
1.6%
3 32
 
1.1%
8 29
 
1.0%
Other values (14) 126
 
4.3%
Han
ValueCountFrequency (%)
愛 2
66.7%
美 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24347
88.0%
ASCII 3259
 
11.8%
None 44
 
0.2%
CJK 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
779
23.9%
) 544
16.7%
( 543
16.7%
5 318
9.8%
2 262
 
8.0%
0 132
 
4.1%
6 130
 
4.0%
1 48
 
1.5%
3 32
 
1.0%
8 29
 
0.9%
Other values (60) 442
13.6%
Hangul
ValueCountFrequency (%)
남 770
 
3.2%
해 572
 
2.3%
장 547
 
2.2%
시 528
 
2.2%
일 525
 
2.2%
사 367
 
1.5%
이 364
 
1.5%
산 363
 
1.5%
점 363
 
1.5%
인 325
 
1.3%
Other values (745) 19623
80.6%
None
ValueCountFrequency (%)
㈜ 44
100.0%
CJK
ValueCountFrequency (%)
愛 2
66.7%
美 1
33.3%

업종
Categorical

Distinct21
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size32.6 KiB
소매 등
1527 
음식점
1086 
서비스
395 
전통시장
324 
이미용
167 
Other values (16)
660 

Length

Max length5
Median length4
Mean length3.3224333
Min length2

Unique

Unique4 ?
Unique (%)0.1%

Sample

1st row소매 등
2nd row전통시장
3rd row소매 등
4th row소매 등
5th row소매 등

Common Values

ValueCountFrequency (%)
소매 등 1527
36.7%
음식점 1086
26.1%
서비스 395
 
9.5%
전통시장 324
 
7.8%
이미용 167
 
4.0%
운수 137
 
3.3%
제조 105
 
2.5%
숙박 98
 
2.4%
학원 80
 
1.9%
의료 76
 
1.8%
Other values (11) 164
 
3.9%

Length

2024-04-22T05:42:49.827526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
소매 1527
26.9%
등 1527
26.9%
음식점 1086
19.1%
서비스 398
 
7.0%
전통시장 324
 
5.7%
이미용 167
 
2.9%
운수 137
 
2.4%
제조 105
 
1.8%
숙박 98
 
1.7%
학원 80
 
1.4%
Other values (9) 237
 
4.2%

구분
Text

Distinct298
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Memory size32.6 KiB
2024-04-22T05:42:50.887462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length2.8316903
Min length1

Characters and Unicode

Total characters11777
Distinct characters250
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique128 ?
Unique (%)3.1%

Sample

1st row의류 등
2nd row기타용품
3rd row의류 등
4th row마트
5th row가전제품
ValueCountFrequency (%)
한식 739
 
16.3%
등 360
 
8.0%
수산물 197
 
4.4%
간식류 185
 
4.1%
의류 165
 
3.6%
미용실 141
 
3.1%
농산물 135
 
3.0%
잡화 124
 
2.7%
개인택시 114
 
2.5%
카페 112
 
2.5%
Other values (282) 2254
49.8%
2024-04-22T05:42:52.339689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 1096
 
9.3%
한 752
 
6.4%
물 431
 
3.7%
산 371
 
3.2%
370
 
3.1%
류 367
 
3.1%
등 360
 
3.1%
기 290
 
2.5%
수 278
 
2.4%
품 271
 
2.3%
Other values (240) 7191
61.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11390
96.7%
Space Separator 370
 
3.1%
Uppercase Letter 17
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 1096
 
9.6%
한 752
 
6.6%
물 431
 
3.8%
산 371
 
3.3%
류 367
 
3.2%
등 360
 
3.2%
기 290
 
2.5%
수 278
 
2.4%
품 271
 
2.4%
용 268
 
2.4%
Other values (233) 6906
60.6%
Uppercase Letter
ValueCountFrequency (%)
P 5
29.4%
C 4
23.5%
L 3
17.6%
G 3
17.6%
V 1
 
5.9%
T 1
 
5.9%
Space Separator
ValueCountFrequency (%)
370
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11390
96.7%
Common 370
 
3.1%
Latin 17
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 1096
 
9.6%
한 752
 
6.6%
물 431
 
3.8%
산 371
 
3.3%
류 367
 
3.2%
등 360
 
3.2%
기 290
 
2.5%
수 278
 
2.4%
품 271
 
2.4%
용 268
 
2.4%
Other values (233) 6906
60.6%
Latin
ValueCountFrequency (%)
P 5
29.4%
C 4
23.5%
L 3
17.6%
G 3
17.6%
V 1
 
5.9%
T 1
 
5.9%
Common
ValueCountFrequency (%)
370
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11390
96.7%
ASCII 387
 
3.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 1096
 
9.6%
한 752
 
6.6%
물 431
 
3.8%
산 371
 
3.3%
류 367
 
3.2%
등 360
 
3.2%
기 290
 
2.5%
수 278
 
2.4%
품 271
 
2.4%
용 268
 
2.4%
Other values (233) 6906
60.6%
ASCII
ValueCountFrequency (%)
370
95.6%
P 5
 
1.3%
C 4
 
1.0%
L 3
 
0.8%
G 3
 
0.8%
V 1
 
0.3%
T 1
 
0.3%

사업장주소
Text

Distinct2760
Distinct (%)66.4%
Missing0
Missing (%)0.0%
Memory size32.6 KiB
2024-04-22T05:42:53.662728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length34
Mean length15.263284
Min length4

Characters and Unicode

Total characters63480
Distinct characters260
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

Unique2101 ?
Unique (%)50.5%

Sample

1st row해남군 해남읍 중앙2로 25
2nd row해남군 해남읍 중앙2로 100-2
3rd row해남군 해남읍 중앙2로 114
4th row해남군 해남읍 중앙2로 118
5th row해남군 해남읍 중앙2로 21
ValueCountFrequency (%)
해남군 3839
24.0%
해남읍 2103
 
13.2%
중앙1로 281
 
1.8%
송지면 248
 
1.6%
중앙2로 243
 
1.5%
북부순환로 237
 
1.5%
문내면 229
 
1.4%
남부순환로 214
 
1.3%
삼산면 201
 
1.3%
황산면 177
 
1.1%
Other values (1663) 8210
51.4%
2024-04-22T05:42:55.544155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11843
18.7%
남 6513
 
10.3%
해 6245
 
9.8%
군 3911
 
6.2%
1 2924
 
4.6%
읍 2206
 
3.5%
로 2064
 
3.3%
2 1814
 
2.9%
길 1738
 
2.7%
면 1734
 
2.7%
Other values (250) 22488
35.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 38933
61.3%
Space Separator 11843
 
18.7%
Decimal Number 11574
 
18.2%
Dash Punctuation 875
 
1.4%
Other Punctuation 218
 
0.3%
Uppercase Letter 13
 
< 0.1%
Open Punctuation 12
 
< 0.1%
Close Punctuation 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 6513
16.7%
해 6245
16.0%
군 3911
 
10.0%
읍 2206
 
5.7%
로 2064
 
5.3%
길 1738
 
4.5%
면 1734
 
4.5%
산 1160
 
3.0%
중 530
 
1.4%
앙 526
 
1.4%
Other values (228) 12306
31.6%
Decimal Number
ValueCountFrequency (%)
1 2924
25.3%
2 1814
15.7%
3 1131
 
9.8%
5 1091
 
9.4%
4 990
 
8.6%
7 801
 
6.9%
0 732
 
6.3%
6 722
 
6.2%
9 687
 
5.9%
8 682
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
H 3
23.1%
A 3
23.1%
L 3
23.1%
B 2
15.4%
C 2
15.4%
Other Punctuation
ValueCountFrequency (%)
, 206
94.5%
@ 9
 
4.1%
. 3
 
1.4%
Space Separator
ValueCountFrequency (%)
11843
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 875
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 38933
61.3%
Common 24534
38.6%
Latin 13
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 6513
16.7%
해 6245
16.0%
군 3911
 
10.0%
읍 2206
 
5.7%
로 2064
 
5.3%
길 1738
 
4.5%
면 1734
 
4.5%
산 1160
 
3.0%
중 530
 
1.4%
앙 526
 
1.4%
Other values (228) 12306
31.6%
Common
ValueCountFrequency (%)
11843
48.3%
1 2924
 
11.9%
2 1814
 
7.4%
3 1131
 
4.6%
5 1091
 
4.4%
4 990
 
4.0%
- 875
 
3.6%
7 801
 
3.3%
0 732
 
3.0%
6 722
 
2.9%
Other values (7) 1611
 
6.6%
Latin
ValueCountFrequency (%)
H 3
23.1%
A 3
23.1%
L 3
23.1%
B 2
15.4%
C 2
15.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 38933
61.3%
ASCII 24547
38.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11843
48.2%
1 2924
 
11.9%
2 1814
 
7.4%
3 1131
 
4.6%
5 1091
 
4.4%
4 990
 
4.0%
- 875
 
3.6%
7 801
 
3.3%
0 732
 
3.0%
6 722
 
2.9%
Other values (12) 1624
 
6.6%
Hangul
ValueCountFrequency (%)
남 6513
16.7%
해 6245
16.0%
군 3911
 
10.0%
읍 2206
 
5.7%
로 2064
 
5.3%
길 1738
 
4.5%
면 1734
 
4.5%
산 1160
 
3.0%
중 530
 
1.4%
앙 526
 
1.4%
Other values (228) 12306
31.6%

Correlations

2024-04-22T05:42:55.802934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면업종
읍면1.0000.399
업종0.3991.000
2024-04-22T05:42:56.024841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면업종
읍면1.0000.136
업종0.1361.000
2024-04-22T05:42:56.255662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면업종
읍면1.0000.136
업종0.1361.000

Missing values

2024-04-22T05:42:46.964789image/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

읍면상호명업종구분사업장주소
0해남읍비비안해남전문점소매 등의류 등해남군 해남읍 중앙2로 25
1해남읍고도5일시장(해남지업사)전통시장기타용품해남군 해남읍 중앙2로 100-2
2해남읍대흥신발소매 등의류 등해남군 해남읍 중앙2로 114
3해남읍미원슈퍼소매 등마트해남군 해남읍 중앙2로 118
4해남읍대한당소매 등가전제품해남군 해남읍 중앙2로 21
5해남읍박안경원소매 등안경해남군 해남읍 중앙2로 4
6해남읍현대쇼핑소매 등의류 등해남군 해남읍 중앙2로 104
7해남읍김해자 헤어샵이미용미용실해남군 해남읍 중앙2로 46
8해남읍백인당소매 등인테리어해남군 해남읍 중앙2로 42
9해남읍땡그리 옷장소매 등의류 등해남군 해남읍 중앙2로 14
읍면상호명업종구분사업장주소
4149화원면주식회사 등대소매 등주유소해남군 화원면 영호길 92
4150화원면마이다스음식점한식해남군 화원면 청용길 42
4151화원면대한유통소매 등식품해남군 화원면 조선소길 498
4152화원면산호황칠나무농원소매 등식품해남군 화원면 청용길 18
4153화원면알콜충전소음식점한식해남군 화원면 청용새길 40
4154화원면화원5일시장(장석근)전통시장이불 등화원5일시장
4155화원면프라고소매 등농산물해남군 화원면 온천길 47
4156화원면미남축제(농업회사법인 무화담 주식회사)소매 등농산물해남군 화원면 문내화원로 807
4157화원면영호농기구수리서비스농기계수리해남군 화원면 관광로 1953
4158화원면미미분식음식점간식류해남군 화원면 청용길 44-1

Duplicate rows

Most frequently occurring

읍면상호명업종구분사업장주소# duplicates
66해남읍아모레소매 등화장품 등해남군 해남읍 영빈로 2217
43해남읍남해건설기계건설기계대여해남군 해남읍 북부순환로 757
1문내면금보석중화요리음식점중식해남군 문내면 명량로 1893
24송지면대원설렁탕음식점한식해남군 송지면 산정길 65-163
28송지면치킨플러스 땅끝점음식점간식류해남군 송지면 산정길 263
67해남읍아모레해남특약점소매 등화장품 등해남군 해남읍 영빈로 223
68해남읍아이삭소매 등의류 등해남군 해남읍 남동길 23
81해남읍태산건설중기건설기계대여해남군 해남읍 남각길 93
85해남읍하나당구클럽서비스당구장해남군 해남읍 구교2길 26, 2층3
89해남읍해남종합중기건설기계대여해남군 해남읍 중앙1로 4813