Overview

Dataset statistics

Number of variables6
Number of observations392
Missing cells11
Missing cells (%)0.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.9 KiB
Average record size in memory49.3 B

Variable types

Text4
Numeric1
DateTime1

Dataset

Description경상남도 거제시 교통카드판매(충전)소 현황(가맹점명, 주소, 위도, 경도, 전화번호, 기준일자)등에 대한 정보를 제공합니다.
Author경상남도 거제시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3080039

Alerts

기준일자 has constant value ""Constant
전화번호 has 11 (2.8%) missing valuesMissing

Reproduction

Analysis started2023-12-10 23:25:53.446118
Analysis finished2023-12-10 23:25:54.003290
Duration0.56 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

가맹점명
Text

Distinct391
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2023-12-11T08:25:54.177261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length10.834184
Min length6

Characters and Unicode

Total characters4247
Distinct characters267
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique390 ?
Unique (%)99.5%

Sample

1st row이마트24 거제남서로점
2nd rowCU 거제면쉼터점
3rd rowGS25 거제아델하임점
4th rowK7 거제오수대로점
5th rowGS25 거제오션자이점
ValueCountFrequency (%)
cu 107
 
13.8%
gs25 84
 
10.8%
세븐일레븐 53
 
6.8%
k7 32
 
4.1%
ms 27
 
3.5%
이마트24 25
 
3.2%
롯데리아 7
 
0.9%
br 7
 
0.9%
pb 6
 
0.8%
거제옥포점 6
 
0.8%
Other values (355) 421
54.3%
2023-12-11T08:25:54.542002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
385
 
9.1%
점 362
 
8.5%
거 301
 
7.1%
제 299
 
7.0%
2 146
 
3.4%
S 125
 
2.9%
C 108
 
2.5%
U 107
 
2.5%
븐 106
 
2.5%
5 98
 
2.3%
Other values (257) 2210
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2818
66.4%
Uppercase Letter 602
 
14.2%
Decimal Number 435
 
10.2%
Space Separator 385
 
9.1%
Open Punctuation 3
 
0.1%
Close Punctuation 3
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 362
 
12.8%
거 301
 
10.7%
제 299
 
10.6%
븐 106
 
3.8%
포 87
 
3.1%
레 61
 
2.2%
아 59
 
2.1%
일 58
 
2.1%
장 57
 
2.0%
세 57
 
2.0%
Other values (229) 1371
48.7%
Uppercase Letter
ValueCountFrequency (%)
S 125
20.8%
C 108
17.9%
U 107
17.8%
G 89
14.8%
T 37
 
6.1%
K 35
 
5.8%
M 27
 
4.5%
B 24
 
4.0%
P 23
 
3.8%
D 13
 
2.2%
Other values (4) 14
 
2.3%
Decimal Number
ValueCountFrequency (%)
2 146
33.6%
5 98
22.5%
4 50
 
11.5%
7 46
 
10.6%
1 28
 
6.4%
0 15
 
3.4%
9 15
 
3.4%
3 15
 
3.4%
8 14
 
3.2%
6 8
 
1.8%
Space Separator
ValueCountFrequency (%)
385
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2819
66.4%
Common 826
 
19.4%
Latin 602
 
14.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 362
 
12.8%
거 301
 
10.7%
제 299
 
10.6%
븐 106
 
3.8%
포 87
 
3.1%
레 61
 
2.2%
아 59
 
2.1%
일 58
 
2.1%
장 57
 
2.0%
세 57
 
2.0%
Other values (230) 1372
48.7%
Latin
ValueCountFrequency (%)
S 125
20.8%
C 108
17.9%
U 107
17.8%
G 89
14.8%
T 37
 
6.1%
K 35
 
5.8%
M 27
 
4.5%
B 24
 
4.0%
P 23
 
3.8%
D 13
 
2.2%
Other values (4) 14
 
2.3%
Common
ValueCountFrequency (%)
385
46.6%
2 146
 
17.7%
5 98
 
11.9%
4 50
 
6.1%
7 46
 
5.6%
1 28
 
3.4%
0 15
 
1.8%
9 15
 
1.8%
3 15
 
1.8%
8 14
 
1.7%
Other values (3) 14
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2818
66.4%
ASCII 1428
33.6%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
385
27.0%
2 146
 
10.2%
S 125
 
8.8%
C 108
 
7.6%
U 107
 
7.5%
5 98
 
6.9%
G 89
 
6.2%
4 50
 
3.5%
7 46
 
3.2%
T 37
 
2.6%
Other values (17) 237
16.6%
Hangul
ValueCountFrequency (%)
점 362
 
12.8%
거 301
 
10.7%
제 299
 
10.6%
븐 106
 
3.8%
포 87
 
3.1%
레 61
 
2.2%
아 59
 
2.1%
일 58
 
2.1%
장 57
 
2.0%
세 57
 
2.0%
Other values (229) 1371
48.7%
None
ValueCountFrequency (%)
㈜ 1
100.0%

주소
Text

Distinct390
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2023-12-11T08:25:54.793890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length54
Mean length29.653061
Min length15

Characters and Unicode

Total characters11624
Distinct characters234
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

Unique388 ?
Unique (%)99.0%

Sample

1st row경상남도 거제시 거제면 내간리 56-1
2nd row경상남도 거제시 거제면 동상명진길 3-1 (거제면) 축협축산물판매장
3rd row경상남도 거제시 거제면 서정리 거제남서로 3466，상가 1층 104호
4th row경상남도 거제시 거제면 오수선창길 64
5th row경상남도 거제시 거제면 옥산리 287-10，1층 116호
ValueCountFrequency (%)
경상남도 393
 
16.4%
거제시 393
 
16.4%
고현동 109
 
4.6%
장평동 76
 
3.2%
아주동 63
 
2.6%
옥포동 53
 
2.2%
1층 44
 
1.8%
장승포동 24
 
1.0%
능포동 24
 
1.0%
옥포1동 23
 
1.0%
Other values (638) 1189
49.7%
2023-12-11T08:25:55.309428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2198
18.9%
동 610
 
5.2%
1 575
 
4.9%
제 500
 
4.3%
거 486
 
4.2%
상 479
 
4.1%
남 407
 
3.5%
도 398
 
3.4%
시 395
 
3.4%
경 394
 
3.4%
Other values (224) 5182
44.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6768
58.2%
Space Separator 2198
 
18.9%
Decimal Number 1891
 
16.3%
Close Punctuation 259
 
2.2%
Open Punctuation 258
 
2.2%
Dash Punctuation 138
 
1.2%
Other Punctuation 78
 
0.7%
Math Symbol 17
 
0.1%
Uppercase Letter 13
 
0.1%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 610
 
9.0%
제 500
 
7.4%
거 486
 
7.2%
상 479
 
7.1%
남 407
 
6.0%
도 398
 
5.9%
시 395
 
5.8%
경 394
 
5.8%
로 252
 
3.7%
포 215
 
3.2%
Other values (198) 2632
38.9%
Decimal Number
ValueCountFrequency (%)
1 575
30.4%
2 253
13.4%
3 195
 
10.3%
0 188
 
9.9%
4 157
 
8.3%
5 138
 
7.3%
7 107
 
5.7%
6 104
 
5.5%
9 104
 
5.5%
8 70
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
B 4
30.8%
A 2
15.4%
G 1
 
7.7%
S 1
 
7.7%
R 1
 
7.7%
P 1
 
7.7%
I 1
 
7.7%
K 1
 
7.7%
L 1
 
7.7%
Space Separator
ValueCountFrequency (%)
2198
100.0%
Close Punctuation
ValueCountFrequency (%)
) 259
100.0%
Open Punctuation
ValueCountFrequency (%)
( 258
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 138
100.0%
Other Punctuation
ValueCountFrequency (%)
， 78
100.0%
Math Symbol
ValueCountFrequency (%)
~ 17
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6768
58.2%
Common 4839
41.6%
Latin 17
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 610
 
9.0%
제 500
 
7.4%
거 486
 
7.2%
상 479
 
7.1%
남 407
 
6.0%
도 398
 
5.9%
시 395
 
5.8%
경 394
 
5.8%
로 252
 
3.7%
포 215
 
3.2%
Other values (198) 2632
38.9%
Common
ValueCountFrequency (%)
2198
45.4%
1 575
 
11.9%
) 259
 
5.4%
( 258
 
5.3%
2 253
 
5.2%
3 195
 
4.0%
0 188
 
3.9%
4 157
 
3.2%
5 138
 
2.9%
- 138
 
2.9%
Other values (6) 480
 
9.9%
Latin
ValueCountFrequency (%)
e 4
23.5%
B 4
23.5%
A 2
11.8%
G 1
 
5.9%
S 1
 
5.9%
R 1
 
5.9%
P 1
 
5.9%
I 1
 
5.9%
K 1
 
5.9%
L 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6768
58.2%
ASCII 4778
41.1%
None 78
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2198
46.0%
1 575
 
12.0%
) 259
 
5.4%
( 258
 
5.4%
2 253
 
5.3%
3 195
 
4.1%
0 188
 
3.9%
4 157
 
3.3%
5 138
 
2.9%
- 138
 
2.9%
Other values (15) 419
 
8.8%
Hangul
ValueCountFrequency (%)
동 610
 
9.0%
제 500
 
7.4%
거 486
 
7.2%
상 479
 
7.1%
남 407
 
6.0%
도 398
 
5.9%
시 395
 
5.8%
경 394
 
5.8%
로 252
 
3.7%
포 215
 
3.2%
Other values (198) 2632
38.9%
None
ValueCountFrequency (%)
， 78
100.0%

위도
Real number (ℝ)

Distinct366
Distinct (%)93.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.881429
Minimum34.738226
Maximum35.012848
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-11T08:25:55.467978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.738226
5-th percentile34.82347
Q134.868561
median34.888326
Q334.89336
95-th percentile34.927723
Maximum35.012848
Range0.2746216
Interquartile range (IQR)0.02479847

Descriptive statistics

Standard deviation0.034249526
Coefficient of variation (CV)0.00098188426
Kurtosis5.8549323
Mean34.881429
Median Absolute Deviation (MAD)0.009402385
Skewness-0.91637015
Sum13673.52
Variance0.00117303
MonotonicityNot monotonic
2023-12-11T08:25:55.597311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.88505027 3
 
0.8%
34.89355941 2
 
0.5%
34.88882947 2
 
0.5%
34.87426144 2
 
0.5%
34.87673013 2
 
0.5%
34.89186283 2
 
0.5%
34.87365042 2
 
0.5%
34.86538274 2
 
0.5%
34.86987733 2
 
0.5%
34.90155255 2
 
0.5%
Other values (356) 371
94.6%
ValueCountFrequency (%)
34.73822631 1
0.3%
34.73824981 1
0.3%
34.74048399 1
0.3%
34.74080557 1
0.3%
34.74087944 1
0.3%
34.74331041 1
0.3%
34.77275962 1
0.3%
34.77283076 1
0.3%
34.77519149 1
0.3%
34.77592623 1
0.3%
ValueCountFrequency (%)
35.01284791 1
0.3%
35.00520281 1
0.3%
34.98744927 1
0.3%
34.98614741 1
0.3%
34.98108825 1
0.3%
34.97403577 1
0.3%
34.9733378 1
0.3%
34.97080338 1
0.3%
34.96817224 1
0.3%
34.95693723 1
0.3%

경도
Text

Distinct366
Distinct (%)93.4%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2023-12-11T08:25:55.871711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length10.875
Min length1

Characters and Unicode

Total characters4263
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique341 ?
Unique (%)87.0%

Sample

1st row128.5642695
2nd row128.5929564
3rd row128.5862419
4th row128.5985652
5th row128.5897392
ValueCountFrequency (%)
128.6228477 3
 
0.8%
128.6329608 2
 
0.5%
128.6943675 2
 
0.5%
128.6214706 2
 
0.5%
128.6816761 2
 
0.5%
128.6093946 2
 
0.5%
128.6238967 2
 
0.5%
128.6256274 2
 
0.5%
128.6853531 2
 
0.5%
128.7071411 2
 
0.5%
Other values (356) 371
94.6%
2023-12-11T08:25:56.256396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 695
16.3%
1 654
15.3%
8 620
14.5%
6 514
12.1%
. 391
9.2%
9 256
 
6.0%
7 245
 
5.7%
4 241
 
5.7%
3 236
 
5.5%
5 231
 
5.4%
Other values (2) 180
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3871
90.8%
Other Punctuation 391
 
9.2%
Other Letter 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 695
18.0%
1 654
16.9%
8 620
16.0%
6 514
13.3%
9 256
 
6.6%
7 245
 
6.3%
4 241
 
6.2%
3 236
 
6.1%
5 231
 
6.0%
0 179
 
4.6%
Other Punctuation
ValueCountFrequency (%)
. 391
100.0%
Other Letter
ValueCountFrequency (%)
안 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4262
> 99.9%
Hangul 1
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
2 695
16.3%
1 654
15.3%
8 620
14.5%
6 514
12.1%
. 391
9.2%
9 256
 
6.0%
7 245
 
5.7%
4 241
 
5.7%
3 236
 
5.5%
5 231
 
5.4%
Hangul
ValueCountFrequency (%)
안 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4262
> 99.9%
Hangul 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 695
16.3%
1 654
15.3%
8 620
14.5%
6 514
12.1%
. 391
9.2%
9 256
 
6.0%
7 245
 
5.7%
4 241
 
5.7%
3 236
 
5.5%
5 231
 
5.4%
Hangul
ValueCountFrequency (%)
안 1
100.0%

전화번호
Text

MISSING 

Distinct110
Distinct (%)28.9%
Missing11
Missing (%)2.8%
Memory size3.2 KiB
2023-12-11T08:25:56.540286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.52231
Min length9

Characters and Unicode

Total characters4390
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique94 ?
Unique (%)24.7%

Sample

1st row02-3284-8168
2nd row080-555-2525
3rd row1577-8007
4th row02-3284-8168
5th row02-6916-1500
ValueCountFrequency (%)
02-3284-8168 77
20.2%
1577-8007 62
16.3%
080-555-2525 58
15.2%
02-6916-1500 23
 
6.0%
02-1577-9621 20
 
5.2%
080-855-5525 14
 
3.7%
080-555-5525 12
 
3.1%
031-340-4260 3
 
0.8%
02-2006-2954 3
 
0.8%
055-297-1293 3
 
0.8%
Other values (100) 106
27.8%
2023-12-11T08:25:57.050768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 788
17.9%
- 700
15.9%
0 652
14.9%
8 492
11.2%
2 471
10.7%
7 302
 
6.9%
1 288
 
6.6%
6 274
 
6.2%
3 190
 
4.3%
4 131
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3690
84.1%
Dash Punctuation 700
 
15.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 788
21.4%
0 652
17.7%
8 492
13.3%
2 471
12.8%
7 302
 
8.2%
1 288
 
7.8%
6 274
 
7.4%
3 190
 
5.1%
4 131
 
3.6%
9 102
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 700
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4390
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 788
17.9%
- 700
15.9%
0 652
14.9%
8 492
11.2%
2 471
10.7%
7 302
 
6.9%
1 288
 
6.6%
6 274
 
6.2%
3 190
 
4.3%
4 131
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4390
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 788
17.9%
- 700
15.9%
0 652
14.9%
8 492
11.2%
2 471
10.7%
7 302
 
6.9%
1 288
 
6.6%
6 274
 
6.2%
3 190
 
4.3%
4 131
 
3.0%

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Minimum2022-09-05 00:00:00
Maximum2022-09-05 00:00:00
2023-12-11T08:25:57.227232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:25:57.331633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T08:25:53.743940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-11T08:25:53.861356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:25:53.966617image/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

가맹점명주소위도경도전화번호기준일자
0이마트24 거제남서로점경상남도 거제시 거제면 내간리 56-134.845825128.564269502-3284-81682022-09-05
1CU 거제면쉼터점경상남도 거제시 거제면 동상명진길 3-1 (거제면) 축협축산물판매장34.849583128.5929564080-555-25252022-09-05
2GS25 거제아델하임점경상남도 거제시 거제면 서정리 거제남서로 3466，상가 1층 104호34.849552128.58624191577-80072022-09-05
3K7 거제오수대로점경상남도 거제시 거제면 오수선창길 6434.835898128.598565202-3284-81682022-09-05
4GS25 거제오션자이점경상남도 거제시 거제면 옥산리 287-10，1층 116호34.882899128.589739202-6916-15002022-09-05
5GS25 거제계룡점경상남도 거제시 거제면 외간리 475-834.859836128.573574055-633-62572022-09-05
6GS25 고현햇님점경상남도 거제시 거제면 외간리 796-134.86106128.5739872055-682-05222022-09-05
7GS25 고현해안로점경상남도 거제시 거제면 외간리 991-10 1층34.86106128.573987202-1577-96212022-09-05
8GS25 거제제일점경상남도 거제시 거제면 읍내로 67-1 1층 (서정리 757-3)34.85001128.5886291080-555-25252022-09-05
9이마트24 R거제읍내점경상남도 거제시 거제면 읍내로2길 35-1 (거제면)34.849832128.590038402-3284-83722022-09-05
가맹점명주소위도경도전화번호기준일자
382이마트24 거제장평중앙점경상남도 거제시 장평동 장평로 37 (장평동)34.89086128.6131107055-637-72782022-09-05
383CU 장평중앙점경상남도 거제시 장평동 장평로10길 14 (장평동)34.892078128.6110848080-555-25252022-09-05
384세븐일레븐 거제장평스마일점경상남도 거제시 장평동 장평로10길 19 (장평동)34.892819128.61090431577-80072022-09-05
385CU 장평대한점경상남도 거제시 장평동 장평로9길 634.89069128.611107302-1577-96212022-09-05
386GS25 거제실전점경상남도 거제시 하청면 거제북로 83434.974036128.6565633055-687-83082022-09-05
387GS25 거제하청점경상남도 거제시 하청면 연하해안로 101234.9491128.5994983055-733-73352022-09-05
388MS 거제하청점경상남도 거제시 하청면 유계리 575-9번지34.951241128.633958302-3284-81682022-09-05
389세븐일레븐 거제칠천도점경상남도 거제시 하청면 칠천출장소 칠천로 114 (하청면)34.981088128.645919102-3284-81682022-09-05
390세븐일레븐 거제하청LH점경상남도 거제시 하청면 하청2길 12 (하청면，국민주택)34.956937128.6578501055-681-51412022-09-05
391PS 거제하청점T19744경상남도 거제시 하청면 하청리 857-1，1~2층34.952146128.6553263055-681-39552022-09-05