Overview

Dataset statistics

Number of variables4
Number of observations258
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.2 KiB
Average record size in memory32.5 B

Variable types

Text3
Categorical1

Dataset

Description경산시 안전상비의약품 판매등록 영업중인 업소 현황이며 판매업소의 업소명, 도로명소재지, 영업장전화번호의 항목을 제공하는 데이터입니다.
Author경상북도 경산시
URLhttps://www.data.go.kr/data/15123585/fileData.do

Alerts

영업구분 has constant value ""Constant
판매점포명 has unique valuesUnique

Reproduction

Analysis started2024-03-16 04:19:27.127725
Analysis finished2024-03-16 04:19:27.787922
Duration0.66 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

판매점포명
Text

UNIQUE 

Distinct258
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-03-16T13:19:28.108872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length17
Mean length11.976744
Min length4

Characters and Unicode

Total characters3090
Distinct characters207
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

Unique258 ?
Unique (%)100.0%

Sample

1st row(주)코리아세븐 경산하양센타점
2nd row지에스(GS)25 경산상방점
3rd row(주)코리아세븐 경산옥산파워점
4th row지에스(GS)25 중방스타힐스점
5th row지에스(GS)25 영대센타점
ValueCountFrequency (%)
씨유 59
 
11.8%
지에스(gs)25 55
 
11.0%
gs25 38
 
7.6%
세븐일레븐 36
 
7.2%
주)코리아세븐 14
 
2.8%
이마트24 7
 
1.4%
cu 6
 
1.2%
대구대 3
 
0.6%
다와아이엔씨 3
 
0.6%
지에스25 3
 
0.6%
Other values (260) 275
55.1%
2024-03-16T13:19:28.828974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 248
 
8.0%
241
 
7.8%
산 139
 
4.5%
경 121
 
3.9%
2 115
 
3.7%
5 107
 
3.5%
S 102
 
3.3%
G 101
 
3.3%
븐 90
 
2.9%
대 85
 
2.8%
Other values (197) 1741
56.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2209
71.5%
Uppercase Letter 245
 
7.9%
Space Separator 241
 
7.8%
Decimal Number 230
 
7.4%
Open Punctuation 82
 
2.7%
Close Punctuation 82
 
2.7%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 248
 
11.2%
산 139
 
6.3%
경 121
 
5.5%
븐 90
 
4.1%
대 85
 
3.8%
스 83
 
3.8%
씨 78
 
3.5%
유 74
 
3.3%
지 71
 
3.2%
에 66
 
3.0%
Other values (178) 1154
52.2%
Uppercase Letter
ValueCountFrequency (%)
S 102
41.6%
G 101
41.2%
C 15
 
6.1%
U 11
 
4.5%
I 5
 
2.0%
R 3
 
1.2%
N 2
 
0.8%
E 2
 
0.8%
J 1
 
0.4%
T 1
 
0.4%
Other values (2) 2
 
0.8%
Decimal Number
ValueCountFrequency (%)
2 115
50.0%
5 107
46.5%
4 8
 
3.5%
Space Separator
ValueCountFrequency (%)
241
100.0%
Open Punctuation
ValueCountFrequency (%)
( 82
100.0%
Close Punctuation
ValueCountFrequency (%)
) 82
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2209
71.5%
Common 636
 
20.6%
Latin 245
 
7.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 248
 
11.2%
산 139
 
6.3%
경 121
 
5.5%
븐 90
 
4.1%
대 85
 
3.8%
스 83
 
3.8%
씨 78
 
3.5%
유 74
 
3.3%
지 71
 
3.2%
에 66
 
3.0%
Other values (178) 1154
52.2%
Latin
ValueCountFrequency (%)
S 102
41.6%
G 101
41.2%
C 15
 
6.1%
U 11
 
4.5%
I 5
 
2.0%
R 3
 
1.2%
N 2
 
0.8%
E 2
 
0.8%
J 1
 
0.4%
T 1
 
0.4%
Other values (2) 2
 
0.8%
Common
ValueCountFrequency (%)
241
37.9%
2 115
18.1%
5 107
16.8%
( 82
 
12.9%
) 82
 
12.9%
4 8
 
1.3%
& 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2209
71.5%
ASCII 881
 
28.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 248
 
11.2%
산 139
 
6.3%
경 121
 
5.5%
븐 90
 
4.1%
대 85
 
3.8%
스 83
 
3.8%
씨 78
 
3.5%
유 74
 
3.3%
지 71
 
3.2%
에 66
 
3.0%
Other values (178) 1154
52.2%
ASCII
ValueCountFrequency (%)
241
27.4%
2 115
13.1%
5 107
12.1%
S 102
11.6%
G 101
11.5%
( 82
 
9.3%
) 82
 
9.3%
C 15
 
1.7%
U 11
 
1.2%
4 8
 
0.9%
Other values (9) 17
 
1.9%

영업구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
영업중
258 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 258
100.0%

Length

2024-03-16T13:19:29.086589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T13:19:29.200366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 258
100.0%

전화번호
Text

Distinct56
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-03-16T13:19:29.513420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length6
Mean length7.3372093
Min length6

Characters and Unicode

Total characters1893
Distinct characters17
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

Unique54 ?
Unique (%)20.9%

Sample

1st row개인정보포함
2nd row개인정보포함
3rd row개인정보포함
4th row개인정보포함
5th row개인정보포함
ValueCountFrequency (%)
개인정보포함 200
77.5%
053-742-2631 4
 
1.6%
053-856-9880 1
 
0.4%
053-817-3397 1
 
0.4%
053-814-7447 1
 
0.4%
053-857-0760 1
 
0.4%
053-851-4285 1
 
0.4%
053-818-3877 1
 
0.4%
053-852-8651 1
 
0.4%
053-851-6840 1
 
0.4%
Other values (46) 46
 
17.8%
2024-03-16T13:19:30.197693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
개 200
10.6%
정 200
10.6%
보 200
10.6%
포 200
10.6%
함 200
10.6%
인 200
10.6%
- 115
 
6.1%
5 105
 
5.5%
0 91
 
4.8%
3 85
 
4.5%
Other values (7) 297
15.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1200
63.4%
Decimal Number 578
30.5%
Dash Punctuation 115
 
6.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 105
18.2%
0 91
15.7%
3 85
14.7%
8 84
14.5%
1 58
10.0%
2 38
 
6.6%
7 33
 
5.7%
6 31
 
5.4%
4 30
 
5.2%
9 23
 
4.0%
Other Letter
ValueCountFrequency (%)
개 200
16.7%
정 200
16.7%
보 200
16.7%
포 200
16.7%
함 200
16.7%
인 200
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 115
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1200
63.4%
Common 693
36.6%

Most frequent character per script

Common
ValueCountFrequency (%)
- 115
16.6%
5 105
15.2%
0 91
13.1%
3 85
12.3%
8 84
12.1%
1 58
8.4%
2 38
 
5.5%
7 33
 
4.8%
6 31
 
4.5%
4 30
 
4.3%
Hangul
ValueCountFrequency (%)
개 200
16.7%
정 200
16.7%
보 200
16.7%
포 200
16.7%
함 200
16.7%
인 200
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1200
63.4%
ASCII 693
36.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
개 200
16.7%
정 200
16.7%
보 200
16.7%
포 200
16.7%
함 200
16.7%
인 200
16.7%
ASCII
ValueCountFrequency (%)
- 115
16.6%
5 105
15.2%
0 91
13.1%
3 85
12.3%
8 84
12.1%
1 58
8.4%
2 38
 
5.5%
7 33
 
4.8%
6 31
 
4.5%
4 30
 
4.3%

소재지(도로명)
Text

Distinct257
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-03-16T13:19:30.726032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length50
Mean length27.581395
Min length18

Characters and Unicode

Total characters7116
Distinct characters200
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique256 ?
Unique (%)99.2%

Sample

1st row경상북도 경산시 하양읍 하양역길 22
2nd row경상북도 경산시 경안로 25 (상방동)
3rd row경상북도 경산시 성암로 13 (옥산동)
4th row경상북도 경산시 강변동로 196, 중방스타힐스 상가동 117동 101, 102호 (중방동)
5th row경상북도 경산시 청운1로 31, 조광원룸 1층 (조영동)
ValueCountFrequency (%)
경상북도 258
 
16.6%
경산시 258
 
16.6%
1층 77
 
5.0%
진량읍 49
 
3.2%
하양읍 35
 
2.3%
압량읍 25
 
1.6%
상가동 19
 
1.2%
사동 19
 
1.2%
옥산동 16
 
1.0%
조영동 15
 
1.0%
Other values (443) 779
50.3%
2024-03-16T13:19:31.424625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1292
18.2%
경 570
 
8.0%
1 386
 
5.4%
산 320
 
4.5%
상 291
 
4.1%
도 265
 
3.7%
북 260
 
3.7%
시 258
 
3.6%
로 226
 
3.2%
동 188
 
2.6%
Other values (190) 3060
43.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4100
57.6%
Space Separator 1292
 
18.2%
Decimal Number 1204
 
16.9%
Other Punctuation 165
 
2.3%
Open Punctuation 152
 
2.1%
Close Punctuation 152
 
2.1%
Dash Punctuation 44
 
0.6%
Uppercase Letter 5
 
0.1%
Lowercase Letter 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 570
 
13.9%
산 320
 
7.8%
상 291
 
7.1%
도 265
 
6.5%
북 260
 
6.3%
시 258
 
6.3%
로 226
 
5.5%
동 188
 
4.6%
길 153
 
3.7%
읍 109
 
2.7%
Other values (167) 1460
35.6%
Decimal Number
ValueCountFrequency (%)
1 386
32.1%
2 170
14.1%
0 146
 
12.1%
4 97
 
8.1%
3 93
 
7.7%
5 79
 
6.6%
7 62
 
5.1%
8 61
 
5.1%
6 56
 
4.7%
9 54
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
H 1
20.0%
L 1
20.0%
G 1
20.0%
M 1
20.0%
A 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 163
98.8%
. 2
 
1.2%
Space Separator
ValueCountFrequency (%)
1292
100.0%
Open Punctuation
ValueCountFrequency (%)
( 152
100.0%
Close Punctuation
ValueCountFrequency (%)
) 152
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4100
57.6%
Common 3010
42.3%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 570
 
13.9%
산 320
 
7.8%
상 291
 
7.1%
도 265
 
6.5%
북 260
 
6.3%
시 258
 
6.3%
로 226
 
5.5%
동 188
 
4.6%
길 153
 
3.7%
읍 109
 
2.7%
Other values (167) 1460
35.6%
Common
ValueCountFrequency (%)
1292
42.9%
1 386
 
12.8%
2 170
 
5.6%
, 163
 
5.4%
( 152
 
5.0%
) 152
 
5.0%
0 146
 
4.9%
4 97
 
3.2%
3 93
 
3.1%
5 79
 
2.6%
Other values (7) 280
 
9.3%
Latin
ValueCountFrequency (%)
e 1
16.7%
H 1
16.7%
L 1
16.7%
G 1
16.7%
M 1
16.7%
A 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4100
57.6%
ASCII 3016
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1292
42.8%
1 386
 
12.8%
2 170
 
5.6%
, 163
 
5.4%
( 152
 
5.0%
) 152
 
5.0%
0 146
 
4.8%
4 97
 
3.2%
3 93
 
3.1%
5 79
 
2.6%
Other values (13) 286
 
9.5%
Hangul
ValueCountFrequency (%)
경 570
 
13.9%
산 320
 
7.8%
상 291
 
7.1%
도 265
 
6.5%
북 260
 
6.3%
시 258
 
6.3%
로 226
 
5.5%
동 188
 
4.6%
길 153
 
3.7%
읍 109
 
2.7%
Other values (167) 1460
35.6%

Missing values

2024-03-16T13:19:27.629745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-16T13:19:27.743113image/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

판매점포명영업구분전화번호소재지(도로명)
0(주)코리아세븐 경산하양센타점영업중개인정보포함경상북도 경산시 하양읍 하양역길 22
1지에스(GS)25 경산상방점영업중개인정보포함경상북도 경산시 경안로 25 (상방동)
2(주)코리아세븐 경산옥산파워점영업중개인정보포함경상북도 경산시 성암로 13 (옥산동)
3지에스(GS)25 중방스타힐스점영업중개인정보포함경상북도 경산시 강변동로 196, 중방스타힐스 상가동 117동 101, 102호 (중방동)
4지에스(GS)25 영대센타점영업중개인정보포함경상북도 경산시 청운1로 31, 조광원룸 1층 (조영동)
5지에스(GS)25 경산삼남점영업중개인정보포함경상북도 경산시 경안로 89, 1층 (삼남동)
6지에스(GS) 사동휴먼시아점영업중개인정보포함경상북도 경산시 백자로10길 55, 104호 (사동)
7지에스(GS)25 경산대평원룸점영업중개인정보포함경상북도 경산시 경안로67길 8-10 (대평동)
8지에스(GS)25 경산중앙로점영업중개인정보포함경상북도 경산시 중앙로17길 10 (중방동)
9지에스(GS)25 신대부적점영업중개인정보포함경상북도 경산시 압량읍 압독2로 1
판매점포명영업구분전화번호소재지(도로명)
248GS25 경산대림점영업중053-801-2527경상북도 경산시 대학로32길 24, 210동 106호 (중방동, 중방 e-편한세상 2단지)
249씨유 경산옥산사랑점영업중053-814-5264경상북도 경산시 경산로40길 11 (옥산동)
250GS25 하양금락점영업중053-856-0223경상북도 경산시 하양읍 대학로 1522
251세븐일레븐 대구대 센타점영업중053-857-0878경상북도 경산시 진량읍 대구대로 260
252세븐일레븐 대구대평사점영업중053-851-3450경상북도 경산시 진량읍 대구대로 320
253씨유 옥곡해피점영업중053-814-2016경상북도 경산시 경산로15길 5-14, 백억빌 1층 101호 (옥곡동)
254씨유 경산평사점영업중053-857-9427경상북도 경산시 진량읍 대구대로60길 2
255씨유 자인점영업중053-854-0893경상북도 경산시 자인면 일연로 59-1
256씨유 하양 센트럴 파크점영업중053-851-8529경상북도 경산시 하양읍 문화로2길 23
257씨유 경산 계양점영업중053-817-1538경상북도 경산시 원효로28길 14 (계양동)