Overview

Dataset statistics

Number of variables8
Number of observations10000
Missing cells65
Missing cells (%)0.1%
Duplicate rows8
Duplicate rows (%)0.1%
Total size in memory712.9 KiB
Average record size in memory73.0 B

Variable types

Text4
Boolean3
Numeric1

Dataset

Description전국 온누리상품권 가맹점 현황에 대한 데이터로 온누리상품권 사용가능 전통시장 및 상점가 가맹점 명단 및 소재지를 항목으로 제공합니다.
URLhttps://www.data.go.kr/data/3060079/fileData.do

Alerts

지류 취급여부 has constant value ""Constant
Dataset has 8 (0.1%) duplicate rowsDuplicates
충전식 카드 취급여부 is highly overall correlated with 모바일 취급여부High correlation
모바일 취급여부 is highly overall correlated with 충전식 카드 취급여부High correlation

Reproduction

Analysis started2023-12-12 19:58:40.307614
Analysis finished2023-12-12 19:58:42.564084
Duration2.26 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

가맹점명
Text

Distinct8981
Distinct (%)89.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T04:58:42.763012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length24
Mean length4.9076
Min length1

Characters and Unicode

Total characters49076
Distinct characters985
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

Unique8486 ?
Unique (%)84.9%

Sample

1st row신호남식당
2nd row야시장 이동식 판매대 '4호매대'
3rd row한우랑돼지랑
4th row난전
5th row노점
ValueCountFrequency (%)
노점 188
 
1.8%
중앙상회 13
 
0.1%
제일상회 11
 
0.1%
부산상회 10
 
0.1%
주식회사 10
 
0.1%
대성상회 9
 
0.1%
충남상회 9
 
0.1%
충북상회 8
 
0.1%
진주상회 8
 
0.1%
만물상회 8
 
0.1%
Other values (9184) 10041
97.3%
2023-12-13T04:58:43.242656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
상 1303
 
2.7%
회 1201
 
2.4%
점 1001
 
2.0%
산 991
 
2.0%
수 845
 
1.7%
이 813
 
1.7%
대 573
 
1.2%
식 556
 
1.1%
리 554
 
1.1%
스 519
 
1.1%
Other values (975) 40720
83.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 46585
94.9%
Decimal Number 470
 
1.0%
Uppercase Letter 447
 
0.9%
Close Punctuation 389
 
0.8%
Open Punctuation 388
 
0.8%
Space Separator 338
 
0.7%
Lowercase Letter 291
 
0.6%
Other Punctuation 117
 
0.2%
Other Symbol 26
 
0.1%
Dash Punctuation 20
 
< 0.1%
Other values (2) 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 1303
 
2.8%
회 1201
 
2.6%
점 1001
 
2.1%
산 991
 
2.1%
수 845
 
1.8%
이 813
 
1.7%
대 573
 
1.2%
식 556
 
1.2%
리 554
 
1.2%
스 519
 
1.1%
Other values (903) 38229
82.1%
Uppercase Letter
ValueCountFrequency (%)
C 42
 
9.4%
S 37
 
8.3%
B 36
 
8.1%
A 32
 
7.2%
M 32
 
7.2%
Y 24
 
5.4%
L 21
 
4.7%
D 21
 
4.7%
O 20
 
4.5%
N 20
 
4.5%
Other values (15) 162
36.2%
Lowercase Letter
ValueCountFrequency (%)
o 33
 
11.3%
e 31
 
10.7%
a 25
 
8.6%
l 19
 
6.5%
s 18
 
6.2%
i 17
 
5.8%
r 16
 
5.5%
t 16
 
5.5%
n 15
 
5.2%
u 13
 
4.5%
Other values (13) 88
30.2%
Decimal Number
ValueCountFrequency (%)
2 98
20.9%
1 78
16.6%
5 47
10.0%
3 45
9.6%
9 41
8.7%
0 39
 
8.3%
4 36
 
7.7%
8 33
 
7.0%
6 28
 
6.0%
7 25
 
5.3%
Other Punctuation
ValueCountFrequency (%)
. 45
38.5%
, 34
29.1%
& 28
23.9%
' 4
 
3.4%
# 4
 
3.4%
/ 2
 
1.7%
Math Symbol
ValueCountFrequency (%)
+ 2
66.7%
~ 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 389
100.0%
Open Punctuation
ValueCountFrequency (%)
( 388
100.0%
Space Separator
ValueCountFrequency (%)
338
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 46608
95.0%
Common 1725
 
3.5%
Latin 740
 
1.5%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 1303
 
2.8%
회 1201
 
2.6%
점 1001
 
2.1%
산 991
 
2.1%
수 845
 
1.8%
이 813
 
1.7%
대 573
 
1.2%
식 556
 
1.2%
리 554
 
1.2%
스 519
 
1.1%
Other values (902) 38252
82.1%
Latin
ValueCountFrequency (%)
C 42
 
5.7%
S 37
 
5.0%
B 36
 
4.9%
o 33
 
4.5%
A 32
 
4.3%
M 32
 
4.3%
e 31
 
4.2%
a 25
 
3.4%
Y 24
 
3.2%
L 21
 
2.8%
Other values (39) 427
57.7%
Common
ValueCountFrequency (%)
) 389
22.6%
( 388
22.5%
338
19.6%
2 98
 
5.7%
1 78
 
4.5%
5 47
 
2.7%
3 45
 
2.6%
. 45
 
2.6%
9 41
 
2.4%
0 39
 
2.3%
Other values (12) 217
12.6%
Han
ValueCountFrequency (%)
秀 2
66.7%
金 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 46582
94.9%
ASCII 2463
 
5.0%
None 26
 
0.1%
CJK 3
 
< 0.1%
Number Forms 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
상 1303
 
2.8%
회 1201
 
2.6%
점 1001
 
2.1%
산 991
 
2.1%
수 845
 
1.8%
이 813
 
1.7%
대 573
 
1.2%
식 556
 
1.2%
리 554
 
1.2%
스 519
 
1.1%
Other values (901) 38226
82.1%
ASCII
ValueCountFrequency (%)
) 389
15.8%
( 388
15.8%
338
 
13.7%
2 98
 
4.0%
1 78
 
3.2%
5 47
 
1.9%
3 45
 
1.8%
. 45
 
1.8%
C 42
 
1.7%
9 41
 
1.7%
Other values (60) 952
38.7%
None
ValueCountFrequency (%)
㈜ 26
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%
CJK
ValueCountFrequency (%)
秀 2
66.7%
金 1
33.3%

소속 시장명(또는 상점가)
Text

Distinct1376
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T04:58:43.508809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length7.5654
Min length2

Characters and Unicode

Total characters75654
Distinct characters427
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

Unique245 ?
Unique (%)2.5%

Sample

1st row오산오색시장(구 오산중앙시장)
2nd row동문재래시장
3rd row산본전통시장(구 군포산본시장)
4th row금정상가시장
5th row해남매일시장
ValueCountFrequency (%)
상점가 195
 
1.7%
남대문시장 76
 
0.7%
골목형상점가 75
 
0.7%
부산진시장 71
 
0.6%
고투몰(강남터미널지하도상점가 61
 
0.5%
서문시장 57
 
0.5%
동산상가 56
 
0.5%
팔달신시장 55
 
0.5%
평택통복시장 52
 
0.5%
마산어시장 52
 
0.5%
Other values (1464) 10479
93.3%
2023-12-13T04:58:43.878272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 9208
 
12.2%
시 9015
 
11.9%
상 2320
 
3.1%
가 2244
 
3.0%
전 1608
 
2.1%
산 1511
 
2.0%
1492
 
2.0%
동 1383
 
1.8%
통 1298
 
1.7%
중 1254
 
1.7%
Other values (417) 44321
58.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 71346
94.3%
Space Separator 1492
 
2.0%
Close Punctuation 1111
 
1.5%
Open Punctuation 1111
 
1.5%
Decimal Number 391
 
0.5%
Other Symbol 91
 
0.1%
Other Punctuation 57
 
0.1%
Lowercase Letter 19
 
< 0.1%
Math Symbol 16
 
< 0.1%
Uppercase Letter 14
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 9208
 
12.9%
시 9015
 
12.6%
상 2320
 
3.3%
가 2244
 
3.1%
전 1608
 
2.3%
산 1511
 
2.1%
동 1383
 
1.9%
통 1298
 
1.8%
중 1254
 
1.8%
부 1192
 
1.7%
Other values (391) 40313
56.5%
Decimal Number
ValueCountFrequency (%)
5 132
33.8%
1 128
32.7%
2 42
 
10.7%
3 37
 
9.5%
4 32
 
8.2%
7 9
 
2.3%
6 7
 
1.8%
0 2
 
0.5%
9 2
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
K 4
28.6%
S 4
28.6%
A 3
21.4%
T 2
14.3%
B 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
, 45
78.9%
! 11
 
19.3%
· 1
 
1.8%
Lowercase Letter
ValueCountFrequency (%)
e 15
78.9%
m 2
 
10.5%
a 2
 
10.5%
Space Separator
ValueCountFrequency (%)
1492
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1111
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1111
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 91
100.0%
Math Symbol
ValueCountFrequency (%)
~ 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 71437
94.4%
Common 4184
 
5.5%
Latin 33
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 9208
 
12.9%
시 9015
 
12.6%
상 2320
 
3.2%
가 2244
 
3.1%
전 1608
 
2.3%
산 1511
 
2.1%
동 1383
 
1.9%
통 1298
 
1.8%
중 1254
 
1.8%
부 1192
 
1.7%
Other values (392) 40404
56.6%
Common
ValueCountFrequency (%)
1492
35.7%
) 1111
26.6%
( 1111
26.6%
5 132
 
3.2%
1 128
 
3.1%
, 45
 
1.1%
2 42
 
1.0%
3 37
 
0.9%
4 32
 
0.8%
~ 16
 
0.4%
Other values (7) 38
 
0.9%
Latin
ValueCountFrequency (%)
e 15
45.5%
K 4
 
12.1%
S 4
 
12.1%
A 3
 
9.1%
m 2
 
6.1%
T 2
 
6.1%
a 2
 
6.1%
B 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 71346
94.3%
ASCII 4216
 
5.6%
None 92
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 9208
 
12.9%
시 9015
 
12.6%
상 2320
 
3.3%
가 2244
 
3.1%
전 1608
 
2.3%
산 1511
 
2.1%
동 1383
 
1.9%
통 1298
 
1.8%
중 1254
 
1.8%
부 1192
 
1.7%
Other values (391) 40313
56.5%
ASCII
ValueCountFrequency (%)
1492
35.4%
) 1111
26.4%
( 1111
26.4%
5 132
 
3.1%
1 128
 
3.0%
, 45
 
1.1%
2 42
 
1.0%
3 37
 
0.9%
4 32
 
0.8%
~ 16
 
0.4%
Other values (14) 70
 
1.7%
None
ValueCountFrequency (%)
㈜ 91
98.9%
· 1
 
1.1%

소재지
Text

Distinct8804
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T04:58:44.234808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length74
Median length63
Mean length22.7787
Min length13

Characters and Unicode

Total characters227787
Distinct characters644
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8243 ?
Unique (%)82.4%

Sample

1st row경기도 오산시 오산동 873-3역전고시텔
2nd row제주특별자치도 제주시 이도일동1436-7
3rd row경기도 군포시 산본동 233-11
4th row부산광역시 동래구 온천동1459-2
5th row전라남도 해남군 해남읍 읍내리50
ValueCountFrequency (%)
서울특별시 1848
 
4.3%
경기도 1406
 
3.3%
부산광역시 1120
 
2.6%
중구 1029
 
2.4%
1층 901
 
2.1%
경상남도 838
 
2.0%
대구광역시 565
 
1.3%
인천광역시 564
 
1.3%
동구 537
 
1.3%
충청남도 492
 
1.1%
Other values (10932) 33493
78.3%
2023-12-13T04:58:44.699498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
33388
 
14.7%
1 12051
 
5.3%
동 11105
 
4.9%
시 10205
 
4.5%
- 8597
 
3.8%
구 7403
 
3.2%
2 7072
 
3.1%
도 5391
 
2.4%
3 5298
 
2.3%
4 4448
 
2.0%
Other values (634) 122829
53.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 133782
58.7%
Decimal Number 50189
 
22.0%
Space Separator 33388
 
14.7%
Dash Punctuation 8597
 
3.8%
Other Punctuation 616
 
0.3%
Uppercase Letter 429
 
0.2%
Close Punctuation 350
 
0.2%
Open Punctuation 349
 
0.2%
Lowercase Letter 52
 
< 0.1%
Math Symbol 35
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 11105
 
8.3%
시 10205
 
7.6%
구 7403
 
5.5%
도 5391
 
4.0%
광 3926
 
2.9%
산 3720
 
2.8%
역 3334
 
2.5%
남 3283
 
2.5%
서 3000
 
2.2%
부 2478
 
1.9%
Other values (574) 79937
59.8%
Uppercase Letter
ValueCountFrequency (%)
B 109
25.4%
A 109
25.4%
C 81
18.9%
D 51
11.9%
E 21
 
4.9%
F 9
 
2.1%
G 6
 
1.4%
T 5
 
1.2%
K 5
 
1.2%
S 4
 
0.9%
Other values (13) 29
 
6.8%
Lowercase Letter
ValueCountFrequency (%)
c 12
23.1%
a 8
15.4%
b 7
13.5%
s 5
9.6%
o 4
 
7.7%
d 4
 
7.7%
n 3
 
5.8%
e 2
 
3.8%
m 1
 
1.9%
g 1
 
1.9%
Other values (5) 5
9.6%
Decimal Number
ValueCountFrequency (%)
1 12051
24.0%
2 7072
14.1%
3 5298
10.6%
4 4448
 
8.9%
5 4105
 
8.2%
6 4048
 
8.1%
0 3528
 
7.0%
7 3491
 
7.0%
8 3132
 
6.2%
9 3016
 
6.0%
Other Punctuation
ValueCountFrequency (%)
, 573
93.0%
. 28
 
4.5%
/ 9
 
1.5%
: 2
 
0.3%
' 2
 
0.3%
& 1
 
0.2%
· 1
 
0.2%
Space Separator
ValueCountFrequency (%)
33388
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8597
100.0%
Close Punctuation
ValueCountFrequency (%)
) 350
100.0%
Open Punctuation
ValueCountFrequency (%)
( 349
100.0%
Math Symbol
ValueCountFrequency (%)
~ 35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 133782
58.7%
Common 93524
41.1%
Latin 481
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 11105
 
8.3%
시 10205
 
7.6%
구 7403
 
5.5%
도 5391
 
4.0%
광 3926
 
2.9%
산 3720
 
2.8%
역 3334
 
2.5%
남 3283
 
2.5%
서 3000
 
2.2%
부 2478
 
1.9%
Other values (574) 79937
59.8%
Latin
ValueCountFrequency (%)
B 109
22.7%
A 109
22.7%
C 81
16.8%
D 51
10.6%
E 21
 
4.4%
c 12
 
2.5%
F 9
 
1.9%
a 8
 
1.7%
b 7
 
1.5%
G 6
 
1.2%
Other values (28) 68
14.1%
Common
ValueCountFrequency (%)
33388
35.7%
1 12051
 
12.9%
- 8597
 
9.2%
2 7072
 
7.6%
3 5298
 
5.7%
4 4448
 
4.8%
5 4105
 
4.4%
6 4048
 
4.3%
0 3528
 
3.8%
7 3491
 
3.7%
Other values (12) 7498
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 133780
58.7%
ASCII 94004
41.3%
Compat Jamo 2
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
33388
35.5%
1 12051
 
12.8%
- 8597
 
9.1%
2 7072
 
7.5%
3 5298
 
5.6%
4 4448
 
4.7%
5 4105
 
4.4%
6 4048
 
4.3%
0 3528
 
3.8%
7 3491
 
3.7%
Other values (49) 7978
 
8.5%
Hangul
ValueCountFrequency (%)
동 11105
 
8.3%
시 10205
 
7.6%
구 7403
 
5.5%
도 5391
 
4.0%
광 3926
 
2.9%
산 3720
 
2.8%
역 3334
 
2.5%
남 3283
 
2.5%
서 3000
 
2.2%
부 2478
 
1.9%
Other values (572) 79935
59.8%
Compat Jamo
ValueCountFrequency (%)
ㅎ 1
50.0%
ㅡ 1
50.0%
None
ValueCountFrequency (%)
· 1
100.0%

취급품목
Text

Distinct2423
Distinct (%)24.4%
Missing65
Missing (%)0.7%
Memory size156.2 KiB
2023-12-13T04:58:45.022368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length28
Mean length3.5160544
Min length1

Characters and Unicode

Total characters34932
Distinct characters505
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

Unique1841 ?
Unique (%)18.5%

Sample

1st row한식
2nd row아이스크림, 문어빵
3rd row식육
4th row비닐봉투
5th row어패류
ValueCountFrequency (%)
의류 908
 
8.6%
한식 435
 
4.1%
수산물 320
 
3.0%
농산물 223
 
2.1%
야채 221
 
2.1%
음식점 218
 
2.1%
건어물 211
 
2.0%
생선 203
 
1.9%
과일 200
 
1.9%
잡화 181
 
1.7%
Other values (2211) 7418
70.4%
2023-12-13T04:58:45.490090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 1893
 
5.4%
류 1460
 
4.2%
의 1321
 
3.8%
물 1295
 
3.7%
( 995
 
2.8%
) 983
 
2.8%
소 957
 
2.7%
산 933
 
2.7%
매 873
 
2.5%
, 864
 
2.5%
Other values (495) 23358
66.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31427
90.0%
Open Punctuation 995
 
2.8%
Close Punctuation 983
 
2.8%
Other Punctuation 888
 
2.5%
Space Separator 622
 
1.8%
Uppercase Letter 13
 
< 0.1%
Decimal Number 3
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 1893
 
6.0%
류 1460
 
4.6%
의 1321
 
4.2%
물 1295
 
4.1%
소 957
 
3.0%
산 933
 
3.0%
매 873
 
2.8%
품 679
 
2.2%
음 677
 
2.2%
한 671
 
2.1%
Other values (477) 20668
65.8%
Uppercase Letter
ValueCountFrequency (%)
P 3
23.1%
C 3
23.1%
T 2
15.4%
O 1
 
7.7%
X 1
 
7.7%
V 1
 
7.7%
B 1
 
7.7%
U 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 864
97.3%
. 14
 
1.6%
/ 10
 
1.1%
Decimal Number
ValueCountFrequency (%)
1 1
33.3%
5 1
33.3%
0 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 995
100.0%
Close Punctuation
ValueCountFrequency (%)
) 983
100.0%
Space Separator
ValueCountFrequency (%)
622
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31427
90.0%
Common 3491
 
10.0%
Latin 14
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 1893
 
6.0%
류 1460
 
4.6%
의 1321
 
4.2%
물 1295
 
4.1%
소 957
 
3.0%
산 933
 
3.0%
매 873
 
2.8%
품 679
 
2.2%
음 677
 
2.2%
한 671
 
2.1%
Other values (477) 20668
65.8%
Common
ValueCountFrequency (%)
( 995
28.5%
) 983
28.2%
, 864
24.7%
622
17.8%
. 14
 
0.4%
/ 10
 
0.3%
1 1
 
< 0.1%
5 1
 
< 0.1%
0 1
 
< 0.1%
Latin
ValueCountFrequency (%)
P 3
21.4%
C 3
21.4%
T 2
14.3%
c 1
 
7.1%
O 1
 
7.1%
X 1
 
7.1%
V 1
 
7.1%
B 1
 
7.1%
U 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31427
90.0%
ASCII 3505
 
10.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 1893
 
6.0%
류 1460
 
4.6%
의 1321
 
4.2%
물 1295
 
4.1%
소 957
 
3.0%
산 933
 
3.0%
매 873
 
2.8%
품 679
 
2.2%
음 677
 
2.2%
한 671
 
2.1%
Other values (477) 20668
65.8%
ASCII
ValueCountFrequency (%)
( 995
28.4%
) 983
28.0%
, 864
24.7%
622
17.7%
. 14
 
0.4%
/ 10
 
0.3%
P 3
 
0.1%
C 3
 
0.1%
T 2
 
0.1%
c 1
 
< 0.1%
Other values (8) 8
 
0.2%

충전식 카드 취급여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
True
8051 
False
1949 
ValueCountFrequency (%)
True 8051
80.5%
False 1949
 
19.5%
2023-12-13T04:58:45.598889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

지류 취급여부
Boolean

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
True
10000 
ValueCountFrequency (%)
True 10000
100.0%
2023-12-13T04:58:45.669472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

모바일 취급여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
True
5830 
False
4170 
ValueCountFrequency (%)
True 5830
58.3%
False 4170
41.7%
2023-12-13T04:58:45.736616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

등록년도
Real number (ℝ)

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2017.5884
Minimum2010
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T04:58:45.826769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2010
5-th percentile2010
Q12015
median2019
Q32021
95-th percentile2022
Maximum2023
Range13
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.9289603
Coefficient of variation (CV)0.0019473547
Kurtosis-0.88616228
Mean2017.5884
Median Absolute Deviation (MAD)3
Skewness-0.58309873
Sum20175884
Variance15.436729
MonotonicityNot monotonic
2023-12-13T04:58:45.931729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
2020 1431
14.3%
2022 1252
12.5%
2021 1132
11.3%
2017 949
9.5%
2019 896
9.0%
2011 801
8.0%
2018 590
5.9%
2010 579
5.8%
2015 553
 
5.5%
2016 470
 
4.7%
Other values (4) 1347
13.5%
ValueCountFrequency (%)
2010 579
5.8%
2011 801
8.0%
2012 413
4.1%
2013 156
 
1.6%
2014 347
 
3.5%
2015 553
5.5%
2016 470
4.7%
2017 949
9.5%
2018 590
5.9%
2019 896
9.0%
ValueCountFrequency (%)
2023 431
 
4.3%
2022 1252
12.5%
2021 1132
11.3%
2020 1431
14.3%
2019 896
9.0%
2018 590
5.9%
2017 949
9.5%
2016 470
 
4.7%
2015 553
 
5.5%
2014 347
 
3.5%

Interactions

2023-12-13T04:58:42.146763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:58:46.003131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
충전식 카드 취급여부모바일 취급여부등록년도
충전식 카드 취급여부1.0000.7200.077
모바일 취급여부0.7201.0000.059
등록년도0.0770.0591.000
2023-12-13T04:58:46.084912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
충전식 카드 취급여부모바일 취급여부
충전식 카드 취급여부1.0000.512
모바일 취급여부0.5121.000
2023-12-13T04:58:46.171906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등록년도충전식 카드 취급여부모바일 취급여부
등록년도1.0000.0600.047
충전식 카드 취급여부0.0601.0000.512
모바일 취급여부0.0470.5121.000

Missing values

2023-12-13T04:58:42.319113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:58:42.474721image/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

가맹점명소속 시장명(또는 상점가)소재지취급품목충전식 카드 취급여부지류 취급여부모바일 취급여부등록년도
56965신호남식당오산오색시장(구 오산중앙시장)경기도 오산시 오산동 873-3역전고시텔한식YYN2019
28861야시장 이동식 판매대 '4호매대'동문재래시장제주특별자치도 제주시 이도일동1436-7아이스크림, 문어빵NYN2022
54187한우랑돼지랑산본전통시장(구 군포산본시장)경기도 군포시 산본동 233-11식육YYY2014
76839난전금정상가시장부산광역시 동래구 온천동1459-2비닐봉투NYN2011
66143노점해남매일시장전라남도 해남군 해남읍 읍내리50어패류NYN2013
86368국제FA창원기계공구상가경상남도 창원시 의창구 팔용동16-1전기자재NYY2021
11820캉골춘천점춘천명동상점가강원도 춘천시 조양동51-11층가방, 의류YYY2023
99389리더컴대구종합유통단지전자관사업협동조합대구광역시 북구 산격동 1621유통단지전자관 전자관 2층 155호컴퓨터 주변기기NYN2020
16657인덕상회정읍샘고을시장전라북도 정읍시 시기동275-52의류YYN2022
98062삼번상회팔달신시장대구광역시 북구 노원동3가750<NA>NYN2012
가맹점명소속 시장명(또는 상점가)소재지취급품목충전식 카드 취급여부지류 취급여부모바일 취급여부등록년도
12877제이헤어영동전통시장충청북도 영동군 영동읍 계산리693-21미용실YYN2022
1043예림상회남대문시장서울특별시 중구 남창동34-93농산물YYY2022
81665명㈜르네시떼부산광역시 사상구 괘법동529-1신발YYY2017
59602유인상회관고전통시장경기도 이천시 중리동 177-10농산물YYY2015
88785민자식당새서부시장경상남도 진주시 봉곡동27-8한식YYY2022
25540시훈건강식품구로시장서울특별시 구로구 구로동736-33건강기능식품YYY2021
83052노점양산남부시장경상남도 양산시 중부동423-5다이어트식품NYN2017
26917온누리성원약국방신전통시장서울특별시 강서구 방화동 579-1약국YYY2020
60266창동찌개마을먹자골음식문화의거리(창동먹자골상점가)경기도 여주시 창동 147-1음식YYN2019
89304미강축산물직판장하동공설시장(구 하동시장)경상남도 하동군 진교면 진교리302-165식품YYY2011

Duplicate rows

Most frequently occurring

가맹점명소속 시장명(또는 상점가)소재지취급품목충전식 카드 취급여부지류 취급여부모바일 취급여부등록년도# duplicates
2노점남해전통시장경상남도 남해군 남해읍 북변리246-1어류판매NYN20124
6노점팔달신시장대구광역시 북구 노원동3가750야채NYN20214
0(주)송탄유통평택국제중앙시장경기도 평택시 신장동274-202소매(슈퍼마켓)YYN20222
1노점광양5일시장전라남도 광양시 광양읍 목성리696-3야채NYN20192
3노점무주시장(반딧불장터)전라북도 무주군 무주읍 읍내리1152야채NYN20202
4노점서귀포향토오일시장제주특별자치도 서귀포시 동홍동 779-1국제종합창호 노점농산물NYN20192
5노점충주자유시장충청북도 충주시 충의동 192생선NYN20202
7채소광양5일시장전라남도 광양시 광양읍 목성리696-3야채NYN20212