Overview

Dataset statistics

Number of variables6
Number of observations3260
Missing cells1921
Missing cells (%)9.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory152.9 KiB
Average record size in memory48.0 B

Variable types

Text4
Categorical2

Dataset

Description통영시에서 발행하는 상품권의 가맹점에 대하여 가맹점명,소재지도로명주소,소재지지번주소,주요취급품목,관리기관명,데이터기준일자 정보를 제공합니다.
Author경상남도 통영시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15062493

Alerts

관리기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
소재지지번주소 has 1921 (58.9%) missing valuesMissing

Reproduction

Analysis started2023-12-10 22:43:49.049404
Analysis finished2023-12-10 22:43:49.873618
Duration0.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

가맹점명
Text

Distinct3235
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size25.6 KiB
2023-12-11T07:43:50.078779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length21
Mean length6.2395706
Min length1

Characters and Unicode

Total characters20341
Distinct characters823
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3210 ?
Unique (%)98.5%

Sample

1st row한산도회식당
2nd rowThe 행복한 태권도장(죽림MTA)
3rd row60계치킨 경남통영점
4th row토성탕
5th row통영중앙건어물
ValueCountFrequency (%)
통영점 54
 
1.4%
씨유 29
 
0.7%
세븐일레븐 24
 
0.6%
죽림점 20
 
0.5%
gs25 17
 
0.4%
통영죽림점 16
 
0.4%
통영무전점 13
 
0.3%
주식회사 12
 
0.3%
무전점 9
 
0.2%
통영 9
 
0.2%
Other values (3496) 3688
94.8%
2023-12-11T07:43:50.636732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
632
 
3.1%
영 602
 
3.0%
통 587
 
2.9%
점 570
 
2.8%
이 336
 
1.7%
스 317
 
1.6%
어 294
 
1.4%
수 283
 
1.4%
원 266
 
1.3%
리 264
 
1.3%
Other values (813) 16190
79.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18805
92.4%
Space Separator 632
 
3.1%
Decimal Number 289
 
1.4%
Uppercase Letter 273
 
1.3%
Lowercase Letter 130
 
0.6%
Open Punctuation 69
 
0.3%
Close Punctuation 69
 
0.3%
Other Punctuation 48
 
0.2%
Other Symbol 19
 
0.1%
Dash Punctuation 5
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 602
 
3.2%
통 587
 
3.1%
점 570
 
3.0%
이 336
 
1.8%
스 317
 
1.7%
어 294
 
1.6%
수 283
 
1.5%
원 266
 
1.4%
리 264
 
1.4%
산 194
 
1.0%
Other values (746) 15092
80.3%
Uppercase Letter
ValueCountFrequency (%)
G 44
16.1%
S 37
13.6%
C 25
 
9.2%
M 16
 
5.9%
U 16
 
5.9%
A 12
 
4.4%
O 12
 
4.4%
K 12
 
4.4%
T 12
 
4.4%
E 11
 
4.0%
Other values (13) 76
27.8%
Lowercase Letter
ValueCountFrequency (%)
n 15
 
11.5%
a 14
 
10.8%
e 13
 
10.0%
o 10
 
7.7%
t 8
 
6.2%
i 7
 
5.4%
s 7
 
5.4%
w 6
 
4.6%
c 6
 
4.6%
u 6
 
4.6%
Other values (12) 38
29.2%
Decimal Number
ValueCountFrequency (%)
2 83
28.7%
5 57
19.7%
1 38
13.1%
3 22
 
7.6%
0 19
 
6.6%
7 19
 
6.6%
9 14
 
4.8%
4 14
 
4.8%
6 13
 
4.5%
8 10
 
3.5%
Other Punctuation
ValueCountFrequency (%)
& 16
33.3%
, 14
29.2%
. 13
27.1%
/ 3
 
6.2%
' 2
 
4.2%
Space Separator
ValueCountFrequency (%)
632
100.0%
Open Punctuation
ValueCountFrequency (%)
( 69
100.0%
Close Punctuation
ValueCountFrequency (%)
) 69
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18823
92.5%
Common 1113
 
5.5%
Latin 404
 
2.0%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 602
 
3.2%
통 587
 
3.1%
점 570
 
3.0%
이 336
 
1.8%
스 317
 
1.7%
어 294
 
1.6%
수 283
 
1.5%
원 266
 
1.4%
리 264
 
1.4%
산 194
 
1.0%
Other values (746) 15110
80.3%
Latin
ValueCountFrequency (%)
G 44
 
10.9%
S 37
 
9.2%
C 25
 
6.2%
M 16
 
4.0%
U 16
 
4.0%
n 15
 
3.7%
a 14
 
3.5%
e 13
 
3.2%
A 12
 
3.0%
O 12
 
3.0%
Other values (36) 200
49.5%
Common
ValueCountFrequency (%)
632
56.8%
2 83
 
7.5%
( 69
 
6.2%
) 69
 
6.2%
5 57
 
5.1%
1 38
 
3.4%
3 22
 
2.0%
0 19
 
1.7%
7 19
 
1.7%
& 16
 
1.4%
Other values (10) 89
 
8.0%
Han
ValueCountFrequency (%)
心 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18804
92.4%
ASCII 1516
 
7.5%
None 19
 
0.1%
CJK 1
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
632
41.7%
2 83
 
5.5%
( 69
 
4.6%
) 69
 
4.6%
5 57
 
3.8%
G 44
 
2.9%
1 38
 
2.5%
S 37
 
2.4%
C 25
 
1.6%
3 22
 
1.5%
Other values (55) 440
29.0%
Hangul
ValueCountFrequency (%)
영 602
 
3.2%
통 587
 
3.1%
점 570
 
3.0%
이 336
 
1.8%
스 317
 
1.7%
어 294
 
1.6%
수 283
 
1.5%
원 266
 
1.4%
리 264
 
1.4%
산 194
 
1.0%
Other values (745) 15091
80.3%
None
ValueCountFrequency (%)
㈜ 19
100.0%
CJK
ValueCountFrequency (%)
心 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

소재지도로명주소
Text

Distinct3027
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size25.6 KiB
2023-12-11T07:43:50.908439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length45
Mean length25.273006
Min length12

Characters and Unicode

Total characters82390
Distinct characters322
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2848 ?
Unique (%)87.4%

Sample

1st row경상남도 통영시 도천상가안길 18, 101동 112호 (도천동, 동원나폴리상가)
2nd row경상남도 통영시 광도면 죽림1로 41-55, 3층 301호(한선파라빌리지상가)
3rd row경상남도 통영시 무전4길29, 상가동 118A호 (무전동, 휴엔하임)
4th row경상남도 통영시 중앙로 191 (태평동)
5th row경상남도 통영시 중앙시장2길 1-1, 1층 (중앙동)
ValueCountFrequency (%)
통영시 3257
 
18.1%
경남 2107
 
11.7%
경상남도 1124
 
6.2%
광도면 745
 
4.1%
무전동 331
 
1.8%
중앙로 326
 
1.8%
1층 296
 
1.6%
북신동 235
 
1.3%
서호동 174
 
1.0%
통영해안로 166
 
0.9%
Other values (2386) 9240
51.3%
2023-12-11T07:43:51.320994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14750
 
17.9%
1 4104
 
5.0%
남 3921
 
4.8%
시 3535
 
4.3%
영 3506
 
4.3%
통 3456
 
4.2%
경 3240
 
3.9%
동 2651
 
3.2%
( 2313
 
2.8%
) 2313
 
2.8%
Other values (312) 38601
46.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 45423
55.1%
Space Separator 14750
 
17.9%
Decimal Number 14490
 
17.6%
Open Punctuation 2313
 
2.8%
Close Punctuation 2313
 
2.8%
Other Punctuation 1872
 
2.3%
Dash Punctuation 1188
 
1.4%
Uppercase Letter 32
 
< 0.1%
Math Symbol 8
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 3921
 
8.6%
시 3535
 
7.8%
영 3506
 
7.7%
통 3456
 
7.6%
경 3240
 
7.1%
동 2651
 
5.8%
도 2281
 
5.0%
로 1905
 
4.2%
상 1453
 
3.2%
길 1375
 
3.0%
Other values (284) 18100
39.8%
Decimal Number
ValueCountFrequency (%)
1 4104
28.3%
2 2184
15.1%
3 1570
 
10.8%
0 1343
 
9.3%
4 1313
 
9.1%
5 1197
 
8.3%
6 825
 
5.7%
7 727
 
5.0%
8 656
 
4.5%
9 571
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
B 14
43.8%
A 10
31.2%
S 1
 
3.1%
L 1
 
3.1%
H 1
 
3.1%
E 1
 
3.1%
F 1
 
3.1%
R 1
 
3.1%
C 1
 
3.1%
D 1
 
3.1%
Other Punctuation
ValueCountFrequency (%)
, 1869
99.8%
. 3
 
0.2%
Space Separator
ValueCountFrequency (%)
14750
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2313
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2313
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1188
100.0%
Math Symbol
ValueCountFrequency (%)
~ 8
100.0%
Other Symbol
ValueCountFrequency (%)
ⓐ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 45423
55.1%
Common 36935
44.8%
Latin 32
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 3921
 
8.6%
시 3535
 
7.8%
영 3506
 
7.7%
통 3456
 
7.6%
경 3240
 
7.1%
동 2651
 
5.8%
도 2281
 
5.0%
로 1905
 
4.2%
상 1453
 
3.2%
길 1375
 
3.0%
Other values (284) 18100
39.8%
Common
ValueCountFrequency (%)
14750
39.9%
1 4104
 
11.1%
( 2313
 
6.3%
) 2313
 
6.3%
2 2184
 
5.9%
, 1869
 
5.1%
3 1570
 
4.3%
0 1343
 
3.6%
4 1313
 
3.6%
5 1197
 
3.2%
Other values (8) 3979
 
10.8%
Latin
ValueCountFrequency (%)
B 14
43.8%
A 10
31.2%
S 1
 
3.1%
L 1
 
3.1%
H 1
 
3.1%
E 1
 
3.1%
F 1
 
3.1%
R 1
 
3.1%
C 1
 
3.1%
D 1
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 45423
55.1%
ASCII 36966
44.9%
Enclosed Alphanum 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14750
39.9%
1 4104
 
11.1%
( 2313
 
6.3%
) 2313
 
6.3%
2 2184
 
5.9%
, 1869
 
5.1%
3 1570
 
4.2%
0 1343
 
3.6%
4 1313
 
3.6%
5 1197
 
3.2%
Other values (17) 4010
 
10.8%
Hangul
ValueCountFrequency (%)
남 3921
 
8.6%
시 3535
 
7.8%
영 3506
 
7.7%
통 3456
 
7.6%
경 3240
 
7.1%
동 2651
 
5.8%
도 2281
 
5.0%
로 1905
 
4.2%
상 1453
 
3.2%
길 1375
 
3.0%
Other values (284) 18100
39.8%
Enclosed Alphanum
ValueCountFrequency (%)
ⓐ 1
100.0%

소재지지번주소
Text

MISSING 

Distinct1114
Distinct (%)83.2%
Missing1921
Missing (%)58.9%
Memory size25.6 KiB
2023-12-11T07:43:51.635774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length42
Mean length18.410754
Min length11

Characters and Unicode

Total characters24652
Distinct characters167
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

Unique982 ?
Unique (%)73.3%

Sample

1st row경남 통영시 황리 1583-2
2nd row경남 통영시 죽림리 1580-47
3rd row경남 통영시 죽림리 1580-42
4th row경남 통영시 죽림리 1580-48
5th row경남 통영시 죽림리 1580-48
ValueCountFrequency (%)
통영시 1336
22.8%
경남 1216
20.7%
죽림리 329
 
5.6%
무전동 208
 
3.5%
광도면 186
 
3.2%
북신동 134
 
2.3%
경상남도 87
 
1.5%
서호동 66
 
1.1%
도천동 53
 
0.9%
미수동 47
 
0.8%
Other values (1128) 2205
37.6%
2023-12-11T07:43:52.089117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4528
18.4%
1 1525
 
6.2%
남 1437
 
5.8%
영 1351
 
5.5%
통 1339
 
5.4%
시 1338
 
5.4%
경 1304
 
5.3%
- 1125
 
4.6%
동 863
 
3.5%
5 769
 
3.1%
Other values (157) 9073
36.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12243
49.7%
Decimal Number 6586
26.7%
Space Separator 4528
 
18.4%
Dash Punctuation 1125
 
4.6%
Other Punctuation 163
 
0.7%
Uppercase Letter 4
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 1437
11.7%
영 1351
11.0%
통 1339
10.9%
시 1338
10.9%
경 1304
10.7%
동 863
 
7.0%
리 569
 
4.6%
도 373
 
3.0%
림 351
 
2.9%
죽 340
 
2.8%
Other values (140) 2978
24.3%
Decimal Number
ValueCountFrequency (%)
1 1525
23.2%
5 769
11.7%
2 679
10.3%
0 654
9.9%
7 627
9.5%
3 580
 
8.8%
4 521
 
7.9%
6 521
 
7.9%
8 390
 
5.9%
9 320
 
4.9%
Space Separator
ValueCountFrequency (%)
4528
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1125
100.0%
Other Punctuation
ValueCountFrequency (%)
, 163
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12405
50.3%
Hangul 12243
49.7%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 1437
11.7%
영 1351
11.0%
통 1339
10.9%
시 1338
10.9%
경 1304
10.7%
동 863
 
7.0%
리 569
 
4.6%
도 373
 
3.0%
림 351
 
2.9%
죽 340
 
2.8%
Other values (140) 2978
24.3%
Common
ValueCountFrequency (%)
4528
36.5%
1 1525
 
12.3%
- 1125
 
9.1%
5 769
 
6.2%
2 679
 
5.5%
0 654
 
5.3%
7 627
 
5.1%
3 580
 
4.7%
4 521
 
4.2%
6 521
 
4.2%
Other values (6) 876
 
7.1%
Latin
ValueCountFrequency (%)
B 4
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12409
50.3%
Hangul 12243
49.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4528
36.5%
1 1525
 
12.3%
- 1125
 
9.1%
5 769
 
6.2%
2 679
 
5.5%
0 654
 
5.3%
7 627
 
5.1%
3 580
 
4.7%
4 521
 
4.2%
6 521
 
4.2%
Other values (7) 880
 
7.1%
Hangul
ValueCountFrequency (%)
남 1437
11.7%
영 1351
11.0%
통 1339
10.9%
시 1338
10.9%
경 1304
10.7%
동 863
 
7.0%
리 569
 
4.6%
도 373
 
3.0%
림 351
 
2.9%
죽 340
 
2.8%
Other values (140) 2978
24.3%

주요취급품목
Text

Distinct776
Distinct (%)23.8%
Missing0
Missing (%)0.0%
Memory size25.6 KiB
2023-12-11T07:43:52.400015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length25
Mean length3.4208589
Min length1

Characters and Unicode

Total characters11152
Distinct characters362
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique563 ?
Unique (%)17.3%

Sample

1st row음식점
2nd row체육관
3rd row치킨
4th row목욕탕
5th row건어물
ValueCountFrequency (%)
음식 386
 
10.9%
한식 234
 
6.6%
학원 113
 
3.2%
일반음식점 106
 
3.0%
의류 105
 
3.0%
편의점 100
 
2.8%
소매 91
 
2.6%
서비스 90
 
2.5%
미용 70
 
2.0%
소매업 64
 
1.8%
Other values (741) 2198
61.8%
2023-12-11T07:43:52.814039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 1051
 
9.4%
음 705
 
6.3%
매 393
 
3.5%
소 380
 
3.4%
점 374
 
3.4%
업 341
 
3.1%
302
 
2.7%
의 277
 
2.5%
한 273
 
2.4%
, 271
 
2.4%
Other values (352) 6785
60.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10369
93.0%
Other Punctuation 336
 
3.0%
Space Separator 302
 
2.7%
Close Punctuation 64
 
0.6%
Open Punctuation 64
 
0.6%
Uppercase Letter 13
 
0.1%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 1051
 
10.1%
음 705
 
6.8%
매 393
 
3.8%
소 380
 
3.7%
점 374
 
3.6%
업 341
 
3.3%
의 277
 
2.7%
한 273
 
2.6%
스 268
 
2.6%
비 223
 
2.2%
Other values (337) 6084
58.7%
Uppercase Letter
ValueCountFrequency (%)
P 5
38.5%
G 3
23.1%
L 3
23.1%
T 1
 
7.7%
C 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 271
80.7%
/ 55
 
16.4%
. 9
 
2.7%
& 1
 
0.3%
Lowercase Letter
ValueCountFrequency (%)
c 2
50.0%
v 1
25.0%
t 1
25.0%
Space Separator
ValueCountFrequency (%)
302
100.0%
Close Punctuation
ValueCountFrequency (%)
) 64
100.0%
Open Punctuation
ValueCountFrequency (%)
( 64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10369
93.0%
Common 766
 
6.9%
Latin 17
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 1051
 
10.1%
음 705
 
6.8%
매 393
 
3.8%
소 380
 
3.7%
점 374
 
3.6%
업 341
 
3.3%
의 277
 
2.7%
한 273
 
2.6%
스 268
 
2.6%
비 223
 
2.2%
Other values (337) 6084
58.7%
Latin
ValueCountFrequency (%)
P 5
29.4%
G 3
17.6%
L 3
17.6%
c 2
 
11.8%
T 1
 
5.9%
v 1
 
5.9%
t 1
 
5.9%
C 1
 
5.9%
Common
ValueCountFrequency (%)
302
39.4%
, 271
35.4%
) 64
 
8.4%
( 64
 
8.4%
/ 55
 
7.2%
. 9
 
1.2%
& 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10369
93.0%
ASCII 783
 
7.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 1051
 
10.1%
음 705
 
6.8%
매 393
 
3.8%
소 380
 
3.7%
점 374
 
3.6%
업 341
 
3.3%
의 277
 
2.7%
한 273
 
2.6%
스 268
 
2.6%
비 223
 
2.2%
Other values (337) 6084
58.7%
ASCII
ValueCountFrequency (%)
302
38.6%
, 271
34.6%
) 64
 
8.2%
( 64
 
8.2%
/ 55
 
7.0%
. 9
 
1.1%
P 5
 
0.6%
G 3
 
0.4%
L 3
 
0.4%
c 2
 
0.3%
Other values (5) 5
 
0.6%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size25.6 KiB
경상남도 통영시청
3260 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경상남도 통영시청
2nd row경상남도 통영시청
3rd row경상남도 통영시청
4th row경상남도 통영시청
5th row경상남도 통영시청

Common Values

ValueCountFrequency (%)
경상남도 통영시청 3260
100.0%

Length

2023-12-11T07:43:52.929311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:43:53.013526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도 3260
50.0%
통영시청 3260
50.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size25.6 KiB
2023-05-08
3260 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-05-08
2nd row2023-05-08
3rd row2023-05-08
4th row2023-05-08
5th row2023-05-08

Common Values

ValueCountFrequency (%)
2023-05-08 3260
100.0%

Length

2023-12-11T07:43:53.105433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:43:53.189101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-05-08 3260
100.0%

Missing values

2023-12-11T07:43:49.743389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:43:49.830112image/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

가맹점명소재지도로명주소소재지지번주소주요취급품목관리기관명데이터기준일자
0한산도회식당경상남도 통영시 도천상가안길 18, 101동 112호 (도천동, 동원나폴리상가)<NA>음식점경상남도 통영시청2023-05-08
1The 행복한 태권도장(죽림MTA)경상남도 통영시 광도면 죽림1로 41-55, 3층 301호(한선파라빌리지상가)<NA>체육관경상남도 통영시청2023-05-08
260계치킨 경남통영점경상남도 통영시 무전4길29, 상가동 118A호 (무전동, 휴엔하임)<NA>치킨경상남도 통영시청2023-05-08
3토성탕경상남도 통영시 중앙로 191 (태평동)<NA>목욕탕경상남도 통영시청2023-05-08
4통영중앙건어물경상남도 통영시 중앙시장2길 1-1, 1층 (중앙동)<NA>건어물경상남도 통영시청2023-05-08
5수월회센타경상남도 통영시 북신시장1길 19 (북신동)<NA>활어경상남도 통영시청2023-05-08
6씨유 통영죽림센터점경상남도 통영시 광도면 죽림2로 77, 나동 1층<NA>편의점경상남도 통영시청2023-05-08
7중앙식품경상남도 통영시 중앙시장1길 14-30(중앙동)<NA>수입소고기경상남도 통영시청2023-05-08
8KGB이사(통영점)경상남도 통영시 충렬로 14-7(서호동)<NA>이사경상남도 통영시청2023-05-08
9수정돼지국밥경상남도 통영시 광도면 죽림5로 46, 1층<NA>한식경상남도 통영시청2023-05-08
가맹점명소재지도로명주소소재지지번주소주요취급품목관리기관명데이터기준일자
3250로니네반찬경상남도 통영시 미수로 99경상남도 통영시 미수동 582-4소매업(반찬 및 김치)경상남도 통영시청2023-05-08
3251가마치통닭 미수점경상남도 통영시 선금산2길 6, 상가 102호(미수동, 3차태영빌라)경상남도 통영시 미수동 380-2음식(치킨)경상남도 통영시청2023-05-08
3252파트라슈경상남도 통영시 광도면 죽림해안로 10, 101동 상가 101호(죽림신우희가로)경상남도 통영시 죽림리 1565-2서비스, 소매(동물미용업, 동물위탁관리업, 애견용품)경상남도 통영시청2023-05-08
3253대영주유소경상남도 통영시 여황로 128(도천동)경상남도 통영시 도천동 114-8도소매(주유소)경상남도 통영시청2023-05-08
3254피지컬 055 GYM경상남도 통영시 광도면 죽림4로 37-30경상남도 통영시 죽림리 1570-54서비스(PT, 체력단련장)경상남도 통영시청2023-05-08
3255뷰티곳간살롱경상남도 통영시 광도면 죽림4로 37-42, 1층 101호경상남도 통영시 죽림리 1570-50서비스,소매(피부미용,화장품,전자상거래)경상남도 통영시청2023-05-08
3256뀨피닝경상남도 통영시 광도면 죽림해안로 138, 401호경상남도 통영시 죽림리 1580-5서비스(필라테스)경상남도 통영시청2023-05-08
3257뚜레쥬르 무전점경상남도 통영시 무전8길 13-38, 103호(무전동, 진우하이빌 1차)경상남도 통영시 무전동 1034-7음식(제과점업)경상남도 통영시청2023-05-08
3258뚜레쥬르 한진로즈힐점경상남도 통영시 무전1길 16, 104호(무전동, 씨티빌딩)경상남도 통영시 무전동 1056-1음식점(제과점업)경상남도 통영시청2023-05-08
3259명륜진사갈비 무전점경상남도 통영시 무전대로 35(무전동)경상남도 통영시 무전동 1058-7음식(한식)경상남도 통영시청2023-05-08