Overview

Dataset statistics

Number of variables8
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory712.9 KiB
Average record size in memory73.0 B

Variable types

Numeric1
Text2
Categorical1
Boolean3
DateTime1

Dataset

Description경기도 광주시 관내 위치한 지역화폐가맹점 현황에 대한 데이터로 상호명, 주소, 사용가능지역화폐, 모바일형지역화폐 사용가능여부 등을 제공합니다.
URLhttps://www.data.go.kr/data/15037461/fileData.do

Alerts

사용가능한지역화폐명 has constant value ""Constant
지류형지역화폐사용가능여부 has constant value ""Constant
카드형지역화폐사용가능여부 has constant value ""Constant
모바일형지역화폐사용가능여부 has constant value ""Constant
데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 11:15:50.415195
Analysis finished2023-12-12 11:15:52.821113
Duration2.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6616.3259
Minimum1
Maximum13243
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T20:15:52.948080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile657.95
Q13302.75
median6611.5
Q39936.25
95-th percentile12567.2
Maximum13243
Range13242
Interquartile range (IQR)6633.5

Descriptive statistics

Standard deviation3824.7144
Coefficient of variation (CV)0.57807225
Kurtosis-1.1993175
Mean6616.3259
Median Absolute Deviation (MAD)3318
Skewness0.002667711
Sum66163259
Variance14628440
MonotonicityNot monotonic
2023-12-12T20:15:53.191249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12549 1
 
< 0.1%
8081 1
 
< 0.1%
9730 1
 
< 0.1%
12453 1
 
< 0.1%
5013 1
 
< 0.1%
4230 1
 
< 0.1%
4677 1
 
< 0.1%
899 1
 
< 0.1%
5800 1
 
< 0.1%
1495 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
11 1
< 0.1%
ValueCountFrequency (%)
13243 1
< 0.1%
13242 1
< 0.1%
13241 1
< 0.1%
13237 1
< 0.1%
13236 1
< 0.1%
13235 1
< 0.1%
13234 1
< 0.1%
13232 1
< 0.1%
13231 1
< 0.1%
13230 1
< 0.1%

상호명
Text

Distinct9468
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T20:15:53.673380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length27
Mean length7.2589
Min length1

Characters and Unicode

Total characters72589
Distinct characters1069
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9035 ?
Unique (%)90.3%

Sample

1st row제비 파스타&리조또 태전점
2nd row이마트24 광주천진암점
3rd row도척농업협동조합
4th row골드앤올거래소
5th row스카이골프연습장
ValueCountFrequency (%)
주식회사 122
 
0.9%
경기광주점 70
 
0.5%
이마트24 59
 
0.5%
태전점 57
 
0.4%
곤지암점 46
 
0.4%
광주태전점 40
 
0.3%
씨유(cu 39
 
0.3%
지에스25 38
 
0.3%
세븐일레븐 33
 
0.3%
오포점 33
 
0.3%
Other values (10361) 12550
95.9%
2023-12-12T20:15:54.499677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3087
 
4.3%
점 1775
 
2.4%
주 1582
 
2.2%
이 1476
 
2.0%
스 1365
 
1.9%
광 1133
 
1.6%
리 1020
 
1.4%
( 1005
 
1.4%
) 1002
 
1.4%
원 946
 
1.3%
Other values (1059) 58198
80.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 62072
85.5%
Space Separator 3087
 
4.3%
Uppercase Letter 2474
 
3.4%
Lowercase Letter 1533
 
2.1%
Decimal Number 1079
 
1.5%
Open Punctuation 1016
 
1.4%
Close Punctuation 1013
 
1.4%
Other Punctuation 271
 
0.4%
Dash Punctuation 30
 
< 0.1%
Connector Punctuation 6
 
< 0.1%
Other values (3) 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 1775
 
2.9%
주 1582
 
2.5%
이 1476
 
2.4%
스 1365
 
2.2%
광 1133
 
1.8%
리 1020
 
1.6%
원 946
 
1.5%
어 796
 
1.3%
지 713
 
1.1%
아 678
 
1.1%
Other values (973) 50588
81.5%
Uppercase Letter
ValueCountFrequency (%)
S 231
 
9.3%
C 213
 
8.6%
G 192
 
7.8%
A 171
 
6.9%
E 140
 
5.7%
O 134
 
5.4%
R 117
 
4.7%
B 112
 
4.5%
M 110
 
4.4%
N 109
 
4.4%
Other values (16) 945
38.2%
Lowercase Letter
ValueCountFrequency (%)
e 206
13.4%
a 168
 
11.0%
o 131
 
8.5%
i 113
 
7.4%
n 100
 
6.5%
r 100
 
6.5%
s 85
 
5.5%
l 74
 
4.8%
t 66
 
4.3%
f 57
 
3.7%
Other values (16) 433
28.2%
Decimal Number
ValueCountFrequency (%)
2 327
30.3%
5 213
19.7%
1 143
13.3%
4 103
 
9.5%
0 82
 
7.6%
3 67
 
6.2%
9 48
 
4.4%
6 38
 
3.5%
8 31
 
2.9%
7 27
 
2.5%
Other Punctuation
ValueCountFrequency (%)
& 114
42.1%
. 52
19.2%
, 32
 
11.8%
/ 28
 
10.3%
' 23
 
8.5%
# 13
 
4.8%
? 4
 
1.5%
! 3
 
1.1%
; 2
 
0.7%
Math Symbol
ValueCountFrequency (%)
+ 2
33.3%
~ 2
33.3%
> 1
16.7%
< 1
16.7%
Open Punctuation
ValueCountFrequency (%)
( 1005
98.9%
[ 10
 
1.0%
（ 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1002
98.9%
] 10
 
1.0%
） 1
 
0.1%
Space Separator
ValueCountFrequency (%)
3087
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 6
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%
Other Symbol
ValueCountFrequency (%)
° 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 62057
85.5%
Common 6510
 
9.0%
Latin 4007
 
5.5%
Han 15
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 1775
 
2.9%
주 1582
 
2.5%
이 1476
 
2.4%
스 1365
 
2.2%
광 1133
 
1.8%
리 1020
 
1.6%
원 946
 
1.5%
어 796
 
1.3%
지 713
 
1.1%
아 678
 
1.1%
Other values (962) 50573
81.5%
Latin
ValueCountFrequency (%)
S 231
 
5.8%
C 213
 
5.3%
e 206
 
5.1%
G 192
 
4.8%
A 171
 
4.3%
a 168
 
4.2%
E 140
 
3.5%
O 134
 
3.3%
o 131
 
3.3%
R 117
 
2.9%
Other values (42) 2304
57.5%
Common
ValueCountFrequency (%)
3087
47.4%
( 1005
 
15.4%
) 1002
 
15.4%
2 327
 
5.0%
5 213
 
3.3%
1 143
 
2.2%
& 114
 
1.8%
4 103
 
1.6%
0 82
 
1.3%
3 67
 
1.0%
Other values (24) 367
 
5.6%
Han
ValueCountFrequency (%)
美 3
20.0%
大 2
13.3%
愛 2
13.3%
來 1
 
6.7%
正 1
 
6.7%
林 1
 
6.7%
玄 1
 
6.7%
手 1
 
6.7%
精 1
 
6.7%
酒 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 62047
85.5%
ASCII 10514
 
14.5%
CJK 15
 
< 0.1%
Compat Jamo 10
 
< 0.1%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3087
29.4%
( 1005
 
9.6%
) 1002
 
9.5%
2 327
 
3.1%
S 231
 
2.2%
5 213
 
2.0%
C 213
 
2.0%
e 206
 
2.0%
G 192
 
1.8%
A 171
 
1.6%
Other values (73) 3867
36.8%
Hangul
ValueCountFrequency (%)
점 1775
 
2.9%
주 1582
 
2.5%
이 1476
 
2.4%
스 1365
 
2.2%
광 1133
 
1.8%
리 1020
 
1.6%
원 946
 
1.5%
어 796
 
1.3%
지 713
 
1.1%
아 678
 
1.1%
Other values (960) 50563
81.5%
Compat Jamo
ValueCountFrequency (%)
ㅋ 9
90.0%
ㅂ 1
 
10.0%
CJK
ValueCountFrequency (%)
美 3
20.0%
大 2
13.3%
愛 2
13.3%
來 1
 
6.7%
正 1
 
6.7%
林 1
 
6.7%
玄 1
 
6.7%
手 1
 
6.7%
精 1
 
6.7%
酒 1
 
6.7%
None
ValueCountFrequency (%)
° 1
33.3%
（ 1
33.3%
） 1
33.3%

주소
Text

Distinct9144
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T20:15:54.978668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length52
Mean length25.7515
Min length14

Characters and Unicode

Total characters257515
Distinct characters505
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

Unique8447 ?
Unique (%)84.5%

Sample

1st row경기 광주시 태전중앙1길 5 태전퍼스트센트힐 1동 1층 116호 (태전동)
2nd row경기 광주시 퇴촌면 천진암로 656
3rd row경기 광주시 도척면 노곡리 58-23
4th row경기 광주시 태봉로 24 ,1층 103호 (태전동)
5th row경기 광주시 오포읍 현곡길 48-23
ValueCountFrequency (%)
광주시 9999
 
16.7%
경기 9902
 
16.5%
1층 2807
 
4.7%
오포읍 2033
 
3.4%
경안동 1054
 
1.8%
초월읍 1023
 
1.7%
곤지암읍 884
 
1.5%
2층 752
 
1.3%
태전동 634
 
1.1%
경충대로 578
 
1.0%
Other values (5328) 30209
50.5%
2023-12-12T20:15:55.715554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
51367
19.9%
1 14128
 
5.5%
경 12819
 
5.0%
광 10784
 
4.2%
주 10532
 
4.1%
시 10066
 
3.9%
기 10047
 
3.9%
로 7273
 
2.8%
2 6815
 
2.6%
동 6490
 
2.5%
Other values (495) 117194
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 139325
54.1%
Space Separator 51368
 
19.9%
Decimal Number 48168
 
18.7%
Close Punctuation 5589
 
2.2%
Open Punctuation 5589
 
2.2%
Other Punctuation 3866
 
1.5%
Dash Punctuation 3078
 
1.2%
Uppercase Letter 495
 
0.2%
Math Symbol 20
 
< 0.1%
Lowercase Letter 17
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 12819
 
9.2%
광 10784
 
7.7%
주 10532
 
7.6%
시 10066
 
7.2%
기 10047
 
7.2%
로 7273
 
5.2%
동 6490
 
4.7%
층 4470
 
3.2%
읍 3941
 
2.8%
길 3738
 
2.7%
Other values (446) 59165
42.5%
Uppercase Letter
ValueCountFrequency (%)
B 209
42.2%
A 120
24.2%
C 47
 
9.5%
J 17
 
3.4%
K 16
 
3.2%
D 16
 
3.2%
G 16
 
3.2%
E 9
 
1.8%
M 7
 
1.4%
S 6
 
1.2%
Other values (13) 32
 
6.5%
Decimal Number
ValueCountFrequency (%)
1 14128
29.3%
2 6815
14.1%
0 5335
 
11.1%
3 5085
 
10.6%
4 4009
 
8.3%
5 3379
 
7.0%
6 2830
 
5.9%
7 2529
 
5.3%
8 2120
 
4.4%
9 1938
 
4.0%
Lowercase Letter
ValueCountFrequency (%)
e 6
35.3%
b 6
35.3%
l 2
 
11.8%
a 1
 
5.9%
i 1
 
5.9%
u 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 3817
98.7%
. 39
 
1.0%
* 5
 
0.1%
/ 5
 
0.1%
Space Separator
ValueCountFrequency (%)
51367
> 99.9%
　 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 5589
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5589
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3078
100.0%
Math Symbol
ValueCountFrequency (%)
~ 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 139325
54.1%
Common 117678
45.7%
Latin 512
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 12819
 
9.2%
광 10784
 
7.7%
주 10532
 
7.6%
시 10066
 
7.2%
기 10047
 
7.2%
로 7273
 
5.2%
동 6490
 
4.7%
층 4470
 
3.2%
읍 3941
 
2.8%
길 3738
 
2.7%
Other values (446) 59165
42.5%
Latin
ValueCountFrequency (%)
B 209
40.8%
A 120
23.4%
C 47
 
9.2%
J 17
 
3.3%
K 16
 
3.1%
D 16
 
3.1%
G 16
 
3.1%
E 9
 
1.8%
M 7
 
1.4%
e 6
 
1.2%
Other values (19) 49
 
9.6%
Common
ValueCountFrequency (%)
51367
43.7%
1 14128
 
12.0%
2 6815
 
5.8%
) 5589
 
4.7%
( 5589
 
4.7%
0 5335
 
4.5%
3 5085
 
4.3%
4 4009
 
3.4%
, 3817
 
3.2%
5 3379
 
2.9%
Other values (10) 12565
 
10.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 139325
54.1%
ASCII 118189
45.9%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
51367
43.5%
1 14128
 
12.0%
2 6815
 
5.8%
) 5589
 
4.7%
( 5589
 
4.7%
0 5335
 
4.5%
3 5085
 
4.3%
4 4009
 
3.4%
, 3817
 
3.2%
5 3379
 
2.9%
Other values (38) 13076
 
11.1%
Hangul
ValueCountFrequency (%)
경 12819
 
9.2%
광 10784
 
7.7%
주 10532
 
7.6%
시 10066
 
7.2%
기 10047
 
7.2%
로 7273
 
5.2%
동 6490
 
4.7%
층 4470
 
3.2%
읍 3941
 
2.8%
길 3738
 
2.7%
Other values (446) 59165
42.5%
None
ValueCountFrequency (%)
　 1
100.0%

사용가능한지역화폐명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
광주사랑카드
10000 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
광주사랑카드 10000
100.0%

Length

2023-12-12T20:15:55.951082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:15:56.120010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
광주사랑카드 10000
100.0%

지류형지역화폐사용가능여부
Boolean

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
10000 
ValueCountFrequency (%)
False 10000
100.0%
2023-12-12T20:15:56.265724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

카드형지역화폐사용가능여부
Boolean

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
True
10000 
ValueCountFrequency (%)
True 10000
100.0%
2023-12-12T20:15:56.421852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

모바일형지역화폐사용가능여부
Boolean

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
10000 
ValueCountFrequency (%)
False 10000
100.0%
2023-12-12T20:15:56.560430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2023-08-17 00:00:00
Maximum2023-08-17 00:00:00
2023-12-12T20:15:56.710993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:15:56.889039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T20:15:52.211935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T20:15:52.482328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:15:52.716660image/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

연번상호명주소사용가능한지역화폐명지류형지역화폐사용가능여부카드형지역화폐사용가능여부모바일형지역화폐사용가능여부데이터기준일자
1254812549제비 파스타&리조또 태전점경기 광주시 태전중앙1길 5 태전퍼스트센트힐 1동 1층 116호 (태전동)광주사랑카드NYN2023-08-17
91929193이마트24 광주천진암점경기 광주시 퇴촌면 천진암로 656광주사랑카드NYN2023-08-17
12451246도척농업협동조합경기 광주시 도척면 노곡리 58-23광주사랑카드NYN2023-08-17
49214922골드앤올거래소경기 광주시 태봉로 24 ,1층 103호 (태전동)광주사랑카드NYN2023-08-17
42434244스카이골프연습장경기 광주시 오포읍 현곡길 48-23광주사랑카드NYN2023-08-17
32663267칠성유리경기 광주시 경안로25번길 25-1 (역동)광주사랑카드NYN2023-08-17
84638464본샵경기도 광주시 태전동로 21 ,2층 206호(태전동)광주사랑카드NYN2023-08-17
889890공차 (경기광주터미널점)경기 광주시 광주대로 30 ,107-1호 (경안동,광주터미널이프라자)광주사랑카드NYN2023-08-17
91089109현자동차용품경기 광주시 광주대로 90 ,1층 (송정동, 삼보빌딩)광주사랑카드NYN2023-08-17
89578958와아케이(YK)골프경기 광주시 오포읍 태재로 102 2층광주사랑카드NYN2023-08-17
연번상호명주소사용가능한지역화폐명지류형지역화폐사용가능여부카드형지역화폐사용가능여부모바일형지역화폐사용가능여부데이터기준일자
87288729오늘김밥경기 광주시 곤지암읍 만선로 44-1 ,1층광주사랑카드NYN2023-08-17
70067007또봉이통닭경기 광주시 경안천로 141 1층 (송정동)광주사랑카드NYN2023-08-17
21062107추자공업경기 광주시 도척면 노곡리 280-3광주사랑카드NYN2023-08-17
1068910690진뷰티경기 광주시 경안로 35 (경안동)광주사랑카드NYN2023-08-17
1251712518세븐일레븐 광주목동점경기 광주시 광남안로 8 (태전동)광주사랑카드NYN2023-08-17
1202412025유캔두잇 양벌점경기 광주시 마루들길 231-28 1층 (양벌동)광주사랑카드NYN2023-08-17
1114811149리드인 독서논술 교습소경기 광주시 경충대로1461번길 43 134동 204호 (쌍령동, 광주센트럴푸르지오)광주사랑카드NYN2023-08-17
59225923봉국감자탕경기 광주시 오포읍 오포로 672 ,1층광주사랑카드NYN2023-08-17
29542955우리슈퍼경기 광주시 파발로151번길 4 (경안동)광주사랑카드NYN2023-08-17
1167811679아르페지오경기 광주시 경안안길 82 1층 102호 (경안동)광주사랑카드NYN2023-08-17