Overview

Dataset statistics

Number of variables12
Number of observations558
Missing cells236
Missing cells (%)3.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory52.4 KiB
Average record size in memory96.2 B

Variable types

Text6
Categorical5
DateTime1

Dataset

Description대구광역시 남구_ 담배소매인지정현황_20180822
Author대구광역시 남구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15006184&dataSetDetailId=150061841bc1e5deb31a0_201909031625&provdMethod=FILE

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
영업구분 has constant value ""Constant
데이터기준일자 has constant value ""Constant
업소전화번호 has 236 (42.3%) missing valuesMissing

Reproduction

Analysis started2024-04-19 05:35:09.632334
Analysis finished2024-04-19 05:35:10.276397
Duration0.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리번호
Text

Distinct516
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
2024-04-19T14:35:10.534718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.4695341
Min length1

Characters and Unicode

Total characters3052
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique515 ?
Unique (%)92.3%

Sample

1st row4-3097
2nd row4-3096
3rd row4-3095
4th row4-3094
5th row4-3093
ValueCountFrequency (%)
04월 2
 
0.4%
4-3026 1
 
0.2%
4-2018 1
 
0.2%
4-2051 1
 
0.2%
4-2052 1
 
0.2%
4-2035 1
 
0.2%
4-2031 1
 
0.2%
4-2019 1
 
0.2%
4-2011 1
 
0.2%
4-2065 1
 
0.2%
Other values (506) 506
97.9%
2024-04-19T14:35:10.984822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 661
21.7%
- 513
16.8%
2 385
12.6%
3 220
 
7.2%
9 205
 
6.7%
0 203
 
6.7%
1 202
 
6.6%
8 177
 
5.8%
7 159
 
5.2%
6 151
 
4.9%
Other values (4) 176
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2490
81.6%
Dash Punctuation 513
 
16.8%
Space Separator 45
 
1.5%
Other Letter 4
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 661
26.5%
2 385
15.5%
3 220
 
8.8%
9 205
 
8.2%
0 203
 
8.2%
1 202
 
8.1%
8 177
 
7.1%
7 159
 
6.4%
6 151
 
6.1%
5 127
 
5.1%
Other Letter
ValueCountFrequency (%)
월 2
50.0%
일 2
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 513
100.0%
Space Separator
ValueCountFrequency (%)
45
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3048
99.9%
Hangul 4
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
4 661
21.7%
- 513
16.8%
2 385
12.6%
3 220
 
7.2%
9 205
 
6.7%
0 203
 
6.7%
1 202
 
6.6%
8 177
 
5.8%
7 159
 
5.2%
6 151
 
5.0%
Other values (2) 172
 
5.6%
Hangul
ValueCountFrequency (%)
월 2
50.0%
일 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3048
99.9%
Hangul 4
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 661
21.7%
- 513
16.8%
2 385
12.6%
3 220
 
7.2%
9 205
 
6.7%
0 203
 
6.7%
1 202
 
6.6%
8 177
 
5.8%
7 159
 
5.2%
6 151
 
5.0%
Other values (2) 172
 
5.6%
Hangul
ValueCountFrequency (%)
월 2
50.0%
일 2
50.0%

상호명
Text

Distinct536
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
2024-04-19T14:35:11.317541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length3
Mean length3.297491
Min length2

Characters and Unicode

Total characters1840
Distinct characters206
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique518 ?
Unique (%)92.8%

Sample

1st row(주)위니드(김동희)
2nd row여남순
3rd row성영자
4th row김태선
5th row나원동
ValueCountFrequency (%)
주)코리아세븐 6
 
1.1%
외 4
 
0.7%
1인 3
 
0.5%
김순옥 3
 
0.5%
황해석 2
 
0.4%
이정숙 2
 
0.4%
주)코리아세븐(정승인 2
 
0.4%
박신영 2
 
0.4%
유덕재 2
 
0.4%
김미희 2
 
0.4%
Other values (531) 542
95.1%
2024-04-19T14:35:11.752949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 104
 
5.7%
이 82
 
4.5%
정 79
 
4.3%
박 78
 
4.2%
영 60
 
3.3%
순 37
 
2.0%
숙 36
 
2.0%
희 35
 
1.9%
경 33
 
1.8%
미 30
 
1.6%
Other values (196) 1266
68.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1780
96.7%
Open Punctuation 22
 
1.2%
Close Punctuation 22
 
1.2%
Space Separator 12
 
0.7%
Decimal Number 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 104
 
5.8%
이 82
 
4.6%
정 79
 
4.4%
박 78
 
4.4%
영 60
 
3.4%
순 37
 
2.1%
숙 36
 
2.0%
희 35
 
2.0%
경 33
 
1.9%
미 30
 
1.7%
Other values (191) 1206
67.8%
Decimal Number
ValueCountFrequency (%)
1 3
75.0%
2 1
 
25.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1780
96.7%
Common 60
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 104
 
5.8%
이 82
 
4.6%
정 79
 
4.4%
박 78
 
4.4%
영 60
 
3.4%
순 37
 
2.1%
숙 36
 
2.0%
희 35
 
2.0%
경 33
 
1.9%
미 30
 
1.7%
Other values (191) 1206
67.8%
Common
ValueCountFrequency (%)
( 22
36.7%
) 22
36.7%
12
20.0%
1 3
 
5.0%
2 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1780
96.7%
ASCII 60
 
3.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 104
 
5.8%
이 82
 
4.6%
정 79
 
4.4%
박 78
 
4.4%
영 60
 
3.4%
순 37
 
2.1%
숙 36
 
2.0%
희 35
 
2.0%
경 33
 
1.9%
미 30
 
1.7%
Other values (191) 1206
67.8%
ASCII
ValueCountFrequency (%)
( 22
36.7%
) 22
36.7%
12
20.0%
1 3
 
5.0%
2 1
 
1.7%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
대구광역시
558 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대구광역시 558
100.0%

Length

2024-04-19T14:35:11.879491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:35:11.971668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 558
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
남구
558 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남구 558
100.0%

Length

2024-04-19T14:35:12.062719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:35:12.156512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남구 558
100.0%

업소도로명주소
Text

Distinct540
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
2024-04-19T14:35:12.478584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length43
Mean length24.598566
Min length1

Characters and Unicode

Total characters13726
Distinct characters160
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

Unique535 ?
Unique (%)95.9%

Sample

1st row대구광역시 남구 대명로 지하 292. 영대병원역 지하1층 (대명동)
2nd row대구광역시 남구 대명복개로 70 (대명동)
3rd row대구광역시 남구 현충로26길 46 (대명동)
4th row대구광역시 남구 대명로 145. 가동 1층 (대명동. 용마맨션)
5th row대구광역시 남구 큰골3길 38. 1층 (대명동)
ValueCountFrequency (%)
대구광역시 544
18.9%
남구 544
18.9%
대명동 376
 
13.1%
봉덕동 117
 
4.1%
1층 68
 
2.4%
대명로 37
 
1.3%
이천동 34
 
1.2%
명덕로 24
 
0.8%
현충로 22
 
0.8%
성당로 21
 
0.7%
Other values (547) 1084
37.8%
2024-04-19T14:35:12.959929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2584
18.8%
대 1140
 
8.3%
구 1091
 
7.9%
남 560
 
4.1%
동 560
 
4.1%
시 558
 
4.1%
역 546
 
4.0%
명 545
 
4.0%
광 544
 
4.0%
( 543
 
4.0%
Other values (150) 5055
36.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7875
57.4%
Space Separator 2584
 
18.8%
Decimal Number 1942
 
14.1%
Open Punctuation 543
 
4.0%
Close Punctuation 543
 
4.0%
Other Punctuation 131
 
1.0%
Dash Punctuation 103
 
0.8%
Uppercase Letter 4
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 1140
14.5%
구 1091
13.9%
남 560
 
7.1%
동 560
 
7.1%
시 558
 
7.1%
역 546
 
6.9%
명 545
 
6.9%
광 544
 
6.9%
로 429
 
5.4%
길 308
 
3.9%
Other values (131) 1594
20.2%
Decimal Number
ValueCountFrequency (%)
1 514
26.5%
2 306
15.8%
4 176
 
9.1%
3 166
 
8.5%
0 146
 
7.5%
5 141
 
7.3%
6 140
 
7.2%
8 125
 
6.4%
9 115
 
5.9%
7 113
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
A 2
50.0%
F 1
25.0%
B 1
25.0%
Space Separator
ValueCountFrequency (%)
2584
100.0%
Open Punctuation
ValueCountFrequency (%)
( 543
100.0%
Close Punctuation
ValueCountFrequency (%)
) 543
100.0%
Other Punctuation
ValueCountFrequency (%)
. 131
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 103
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7875
57.4%
Common 5847
42.6%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 1140
14.5%
구 1091
13.9%
남 560
 
7.1%
동 560
 
7.1%
시 558
 
7.1%
역 546
 
6.9%
명 545
 
6.9%
광 544
 
6.9%
로 429
 
5.4%
길 308
 
3.9%
Other values (131) 1594
20.2%
Common
ValueCountFrequency (%)
2584
44.2%
( 543
 
9.3%
) 543
 
9.3%
1 514
 
8.8%
2 306
 
5.2%
4 176
 
3.0%
3 166
 
2.8%
0 146
 
2.5%
5 141
 
2.4%
6 140
 
2.4%
Other values (6) 588
 
10.1%
Latin
ValueCountFrequency (%)
A 2
50.0%
F 1
25.0%
B 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7875
57.4%
ASCII 5851
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2584
44.2%
( 543
 
9.3%
) 543
 
9.3%
1 514
 
8.8%
2 306
 
5.2%
4 176
 
3.0%
3 166
 
2.8%
0 146
 
2.5%
5 141
 
2.4%
6 140
 
2.4%
Other values (9) 592
 
10.1%
Hangul
ValueCountFrequency (%)
대 1140
14.5%
구 1091
13.9%
남 560
 
7.1%
동 560
 
7.1%
시 558
 
7.1%
역 546
 
6.9%
명 545
 
6.9%
광 544
 
6.9%
로 429
 
5.4%
길 308
 
3.9%
Other values (131) 1594
20.2%

업소지번주소
Text

Distinct533
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
2024-04-19T14:35:13.201944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length38
Mean length22.750896
Min length1

Characters and Unicode

Total characters12695
Distinct characters102
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

Unique529 ?
Unique (%)94.8%

Sample

1st row대구광역시 남구 대명동 224번지 영대병원역
2nd row대구광역시 남구 대명동 1595번지 17호
3rd row대구광역시 남구 대명동 1695번지 1호
4th row대구광역시 남구 대명동 1638번지 5호 용마맨션
5th row대구광역시 남구 대명동 446번지 17호
ValueCountFrequency (%)
대구광역시 555
19.3%
남구 555
19.3%
대명동 316
 
11.0%
호 134
 
4.7%
봉덕동 95
 
3.3%
1호 43
 
1.5%
이천동 34
 
1.2%
5호 22
 
0.8%
4호 21
 
0.7%
1 21
 
0.7%
Other values (587) 1080
37.6%
2024-04-19T14:35:13.637570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2565
20.2%
구 1112
 
8.8%
대 955
 
7.5%
1 637
 
5.0%
동 562
 
4.4%
남 557
 
4.4%
역 556
 
4.4%
광 555
 
4.4%
시 555
 
4.4%
호 533
 
4.2%
Other values (92) 4108
32.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7206
56.8%
Decimal Number 2881
 
22.7%
Space Separator 2565
 
20.2%
Dash Punctuation 32
 
0.3%
Other Punctuation 4
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Uppercase Letter 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1112
15.4%
대 955
13.3%
동 562
7.8%
남 557
7.7%
역 556
7.7%
광 555
7.7%
시 555
7.7%
호 533
7.4%
지 490
6.8%
번 487
6.8%
Other values (74) 844
11.7%
Decimal Number
ValueCountFrequency (%)
1 637
22.1%
2 397
13.8%
3 339
11.8%
0 282
9.8%
5 248
 
8.6%
6 232
 
8.1%
4 213
 
7.4%
9 200
 
6.9%
7 170
 
5.9%
8 163
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
2565
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7206
56.8%
Common 5487
43.2%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1112
15.4%
대 955
13.3%
동 562
7.8%
남 557
7.7%
역 556
7.7%
광 555
7.7%
시 555
7.7%
호 533
7.4%
지 490
6.8%
번 487
6.8%
Other values (74) 844
11.7%
Common
ValueCountFrequency (%)
2565
46.7%
1 637
 
11.6%
2 397
 
7.2%
3 339
 
6.2%
0 282
 
5.1%
5 248
 
4.5%
6 232
 
4.2%
4 213
 
3.9%
9 200
 
3.6%
7 170
 
3.1%
Other values (6) 204
 
3.7%
Latin
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7206
56.8%
ASCII 5489
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2565
46.7%
1 637
 
11.6%
2 397
 
7.2%
3 339
 
6.2%
0 282
 
5.1%
5 248
 
4.5%
6 232
 
4.2%
4 213
 
3.9%
9 200
 
3.6%
7 170
 
3.1%
Other values (8) 206
 
3.8%
Hangul
ValueCountFrequency (%)
구 1112
15.4%
대 955
13.3%
동 562
7.8%
남 557
7.7%
역 556
7.7%
광 555
7.7%
시 555
7.7%
호 533
7.4%
지 490
6.8%
번 487
6.8%
Other values (74) 844
11.7%

소매인구분
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
일반
489 
구내
69 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반 489
87.6%
구내 69
 
12.4%

Length

2024-04-19T14:35:13.787006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:35:13.905372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반 489
87.6%
구내 69
 
12.4%

업소전화번호
Text

MISSING 

Distinct221
Distinct (%)68.6%
Missing236
Missing (%)42.3%
Memory size4.5 KiB
2024-04-19T14:35:14.144367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length8.7546584
Min length1

Characters and Unicode

Total characters2819
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique216 ?
Unique (%)67.1%

Sample

1st row053-475-4553
2nd row053-471-8981
3rd row053-472-5658
4th row053-653-8512
5th row053-621-3332
ValueCountFrequency (%)
053-742-2631 5
 
2.2%
053-472-9689 2
 
0.9%
053-664-2654 2
 
0.9%
053-470-0355 2
 
0.9%
053-629-0615 1
 
0.4%
053-652-9087 1
 
0.4%
053-654-8101 1
 
0.4%
053-625-3436 1
 
0.4%
053-625-1719 1
 
0.4%
053-652-1819 1
 
0.4%
Other values (210) 210
92.5%
2024-04-19T14:35:14.496345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 454
16.1%
5 384
13.6%
0 340
12.1%
3 337
12.0%
6 261
9.3%
2 235
8.3%
7 178
 
6.3%
4 167
 
5.9%
1 150
 
5.3%
8 113
 
4.0%
Other values (2) 200
7.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2270
80.5%
Dash Punctuation 454
 
16.1%
Space Separator 95
 
3.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 384
16.9%
0 340
15.0%
3 337
14.8%
6 261
11.5%
2 235
10.4%
7 178
7.8%
4 167
7.4%
1 150
 
6.6%
8 113
 
5.0%
9 105
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 454
100.0%
Space Separator
ValueCountFrequency (%)
95
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2819
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 454
16.1%
5 384
13.6%
0 340
12.1%
3 337
12.0%
6 261
9.3%
2 235
8.3%
7 178
 
6.3%
4 167
 
5.9%
1 150
 
5.3%
8 113
 
4.0%
Other values (2) 200
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2819
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 454
16.1%
5 384
13.6%
0 340
12.1%
3 337
12.0%
6 261
9.3%
2 235
8.3%
7 178
 
6.3%
4 167
 
5.9%
1 150
 
5.3%
8 113
 
4.0%
Other values (2) 200
7.1%

소매인명
Text

Distinct536
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
2024-04-19T14:35:14.825246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length3
Mean length3.297491
Min length2

Characters and Unicode

Total characters1840
Distinct characters206
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique518 ?
Unique (%)92.8%

Sample

1st row(주)위니드(김동희)
2nd row여남순
3rd row성영자
4th row김태선
5th row나원동
ValueCountFrequency (%)
주)코리아세븐 6
 
1.1%
외 4
 
0.7%
1인 3
 
0.5%
김순옥 3
 
0.5%
황해석 2
 
0.4%
이정숙 2
 
0.4%
주)코리아세븐(정승인 2
 
0.4%
박신영 2
 
0.4%
유덕재 2
 
0.4%
김미희 2
 
0.4%
Other values (531) 542
95.1%
2024-04-19T14:35:15.242000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 104
 
5.7%
이 82
 
4.5%
정 79
 
4.3%
박 78
 
4.2%
영 60
 
3.3%
순 37
 
2.0%
숙 36
 
2.0%
희 35
 
1.9%
경 33
 
1.8%
미 30
 
1.6%
Other values (196) 1266
68.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1780
96.7%
Open Punctuation 22
 
1.2%
Close Punctuation 22
 
1.2%
Space Separator 12
 
0.7%
Decimal Number 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 104
 
5.8%
이 82
 
4.6%
정 79
 
4.4%
박 78
 
4.4%
영 60
 
3.4%
순 37
 
2.1%
숙 36
 
2.0%
희 35
 
2.0%
경 33
 
1.9%
미 30
 
1.7%
Other values (191) 1206
67.8%
Decimal Number
ValueCountFrequency (%)
1 3
75.0%
2 1
 
25.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1780
96.7%
Common 60
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 104
 
5.8%
이 82
 
4.6%
정 79
 
4.4%
박 78
 
4.4%
영 60
 
3.4%
순 37
 
2.1%
숙 36
 
2.0%
희 35
 
2.0%
경 33
 
1.9%
미 30
 
1.7%
Other values (191) 1206
67.8%
Common
ValueCountFrequency (%)
( 22
36.7%
) 22
36.7%
12
20.0%
1 3
 
5.0%
2 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1780
96.7%
ASCII 60
 
3.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 104
 
5.8%
이 82
 
4.6%
정 79
 
4.4%
박 78
 
4.4%
영 60
 
3.4%
순 37
 
2.1%
숙 36
 
2.0%
희 35
 
2.0%
경 33
 
1.9%
미 30
 
1.7%
Other values (191) 1206
67.8%
ASCII
ValueCountFrequency (%)
( 22
36.7%
) 22
36.7%
12
20.0%
1 3
 
5.0%
2 1
 
1.7%

영업구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
정상영업
558 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상영업 558
100.0%

Length

2024-04-19T14:35:15.393752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:35:15.487028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상영업 558
100.0%

지정일자
Date

Distinct492
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
Minimum1978-07-01 00:00:00
Maximum2018-08-20 00:00:00
2024-04-19T14:35:15.586086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T14:35:15.726995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
2018-08-22
558 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2018-08-22
2nd row2018-08-22
3rd row2018-08-22
4th row2018-08-22
5th row2018-08-22

Common Values

ValueCountFrequency (%)
2018-08-22 558
100.0%

Length

2024-04-19T14:35:15.858114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:35:15.953110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-08-22 558
100.0%

Missing values

2024-04-19T14:35:10.075080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-19T14:35:10.218924image/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

관리번호상호명시도명시군구명업소도로명주소업소지번주소소매인구분업소전화번호소매인명영업구분지정일자데이터기준일자
04-3097(주)위니드(김동희)대구광역시남구대구광역시 남구 대명로 지하 292. 영대병원역 지하1층 (대명동)대구광역시 남구 대명동 224번지 영대병원역일반<NA>(주)위니드(김동희)정상영업2018-08-202018-08-22
14-3096여남순대구광역시남구대구광역시 남구 대명복개로 70 (대명동)대구광역시 남구 대명동 1595번지 17호일반<NA>여남순정상영업2018-08-102018-08-22
24-3095성영자대구광역시남구대구광역시 남구 현충로26길 46 (대명동)대구광역시 남구 대명동 1695번지 1호일반<NA>성영자정상영업2018-08-072018-08-22
34-3094김태선대구광역시남구대구광역시 남구 대명로 145. 가동 1층 (대명동. 용마맨션)대구광역시 남구 대명동 1638번지 5호 용마맨션일반<NA>김태선정상영업2018-08-032018-08-22
44-3093나원동대구광역시남구대구광역시 남구 큰골3길 38. 1층 (대명동)대구광역시 남구 대명동 446번지 17호일반<NA>나원동정상영업2018-07-272018-08-22
54-3092권순만대구광역시남구대구광역시 남구 신촌길 94. 상가 301동 101호 (봉덕동. 서한이다음)대구광역시 남구 봉덕동 1637번지 서한이다음일반053-475-4553권순만정상영업2018-07-262018-08-22
64-3091박지용대구광역시남구대구광역시 남구 명덕로68길 77. 상가동 1층 104. 105호 (이천동. 대구이천주공1아파트)대구광역시 남구 이천동 121번지 70호 대구이천주공1아파트일반<NA>박지용정상영업2018-07-262018-08-22
74-3090이상미대구광역시남구대구광역시 남구 중앙대로 192. 1층 (대명동)대구광역시 남구 대명동 2010번지 3호일반<NA>이상미정상영업2018-07-202018-08-22
84-3089박수준대구광역시남구대구광역시 남구 봉덕동 1566번지 1호일반<NA>박수준정상영업2018-07-042018-08-22
94-3088지창훈대구광역시남구대구광역시 남구 명덕로 64 (대명동)대구광역시 남구 대명동 2569번지 2호일반<NA>지창훈정상영업2018-07-022018-08-22
관리번호상호명시도명시군구명업소도로명주소업소지번주소소매인구분업소전화번호소매인명영업구분지정일자데이터기준일자
5484-85권길상대구광역시남구대구광역시 남구 대명서2길 10-2 (대명동)대구광역시 남구 대명동 1569번지 4호일반053-626-1656권길상정상영업1978-07-222018-08-22
5494-83이희락대구광역시남구대구광역시 남구 대명서7길 38-1 (대명동)대구광역시 남구 대명11동 1158번지 1호일반053-628-5258이희락정상영업1987-05-272018-08-22
55004월 24일직원자율회대구광역시남구대구광역시 남구 이천로 51 (봉덕동. 남구청 휴게실)대구광역시 남구 봉덕동 565-5번지 남구청 휴게실구내직원자율회정상영업1982-02-012018-08-22
55104월 06일박봉규대구광역시남구대구광역시 남구 양지로8길 13 (대명동)대구광역시 남구 대명3동 2154번지 28호일반박봉규정상영업1980-12-012018-08-22
5524-802김복향대구광역시남구대구광역시 남구 봉덕동 530번지 2 호일반김복향정상영업1978-07-012018-08-22
5534-757윤복남대구광역시남구대구광역시 남구 봉덕로28길 43 (봉덕동)대구광역시 남구 봉덕동 866번지 19 호일반053-627-0457윤복남정상영업1978-07-012018-08-22
5544-644배병환대구광역시남구대구광역시 남구 계명2길 38 (대명동)대구광역시 남구 대명동 2247번지 10호일반배병환정상영업1978-07-012018-08-22
5554-627안영은대구광역시남구대구광역시 남구 대명동 2302호일반안영은정상영업1978-07-012018-08-22
5564-512박홍규대구광역시남구대구광역시 남구 중앙대로 248 (대명동)대구광역시 남구 대명동 2125번지 4 호일반박홍규정상영업1978-07-012018-08-22
5574-273민순복대구광역시남구대구광역시 남구 대명동 1840호일반민순복정상영업1978-07-012018-08-22