Overview

Dataset statistics

Number of variables11
Number of observations250
Missing cells51
Missing cells (%)1.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.6 KiB
Average record size in memory88.5 B

Variable types

Categorical4
DateTime2
Text5

Dataset

Description강원도 원주시에 있는 유흥주점 (업소명, 소재지(도로명주소), 전화번호, 영업장면적 등)의 다양한 정보를 제공
Author강원도 원주시
URLhttps://www.data.go.kr/data/3069208/fileData.do

Alerts

업종명 has constant value ""Constant
관리기관 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
소재지전화 has 49 (19.6%) missing valuesMissing

Reproduction

Analysis started2023-12-12 17:47:33.235172
Analysis finished2023-12-12 17:47:34.176490
Duration0.94 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
유흥주점영업
250 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유흥주점영업 250
100.0%

Length

2023-12-13T02:47:34.242996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:47:34.355583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유흥주점영업 250
100.0%

인허가일자
Date

Distinct235
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum1974-10-12 00:00:00
Maximum2022-08-04 00:00:00
2023-12-13T02:47:34.487504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:47:34.655565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업소명
Text

Distinct248
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-13T02:47:35.033013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length4.164
Min length1

Characters and Unicode

Total characters1041
Distinct characters289
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique246 ?
Unique (%)98.4%

Sample

1st row강남노래타운
2nd row윤씨방
3rd row청춘
4th row둥지
5th row로또노래바
ValueCountFrequency (%)
소녀시대 2
 
0.8%
비타민 2
 
0.8%
박카스 1
 
0.4%
에이클라스 1
 
0.4%
월드컵 1
 
0.4%
궁전 1
 
0.4%
가로수 1
 
0.4%
서희 1
 
0.4%
길 1
 
0.4%
투투쓰리 1
 
0.4%
Other values (240) 240
95.2%
2023-12-13T02:47:35.536460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
래 40
 
3.8%
노 39
 
3.7%
이 39
 
3.7%
타 31
 
3.0%
가 28
 
2.7%
운 26
 
2.5%
방 26
 
2.5%
라 24
 
2.3%
요 23
 
2.2%
스 20
 
1.9%
Other values (279) 745
71.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1018
97.8%
Decimal Number 13
 
1.2%
Uppercase Letter 6
 
0.6%
Space Separator 2
 
0.2%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
래 40
 
3.9%
노 39
 
3.8%
이 39
 
3.8%
타 31
 
3.0%
가 28
 
2.8%
운 26
 
2.6%
방 26
 
2.6%
라 24
 
2.4%
요 23
 
2.3%
스 20
 
2.0%
Other values (265) 722
70.9%
Uppercase Letter
ValueCountFrequency (%)
C 1
16.7%
B 1
16.7%
M 1
16.7%
V 1
16.7%
I 1
16.7%
P 1
16.7%
Decimal Number
ValueCountFrequency (%)
2 6
46.2%
4 2
 
15.4%
1 2
 
15.4%
7 2
 
15.4%
5 1
 
7.7%
Space Separator
ValueCountFrequency (%)
2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1018
97.8%
Common 17
 
1.6%
Latin 6
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
래 40
 
3.9%
노 39
 
3.8%
이 39
 
3.8%
타 31
 
3.0%
가 28
 
2.8%
운 26
 
2.6%
방 26
 
2.6%
라 24
 
2.4%
요 23
 
2.3%
스 20
 
2.0%
Other values (265) 722
70.9%
Common
ValueCountFrequency (%)
2 6
35.3%
4 2
 
11.8%
2
 
11.8%
1 2
 
11.8%
7 2
 
11.8%
5 1
 
5.9%
) 1
 
5.9%
( 1
 
5.9%
Latin
ValueCountFrequency (%)
C 1
16.7%
B 1
16.7%
M 1
16.7%
V 1
16.7%
I 1
16.7%
P 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1018
97.8%
ASCII 23
 
2.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
래 40
 
3.9%
노 39
 
3.8%
이 39
 
3.8%
타 31
 
3.0%
가 28
 
2.8%
운 26
 
2.6%
방 26
 
2.6%
라 24
 
2.4%
요 23
 
2.3%
스 20
 
2.0%
Other values (265) 722
70.9%
ASCII
ValueCountFrequency (%)
2 6
26.1%
4 2
 
8.7%
2
 
8.7%
1 2
 
8.7%
7 2
 
8.7%
5 1
 
4.3%
) 1
 
4.3%
C 1
 
4.3%
B 1
 
4.3%
M 1
 
4.3%
Other values (4) 4
17.4%

소재지(도로명)
Text

Distinct221
Distinct (%)89.1%
Missing2
Missing (%)0.8%
Memory size2.1 KiB
2023-12-13T02:47:35.797480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length40
Mean length24.71371
Min length18

Characters and Unicode

Total characters6129
Distinct characters104
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique201 ?
Unique (%)81.0%

Sample

1st row강원도 원주시 장미공원길 25-9, 지하1층 (단계동)
2nd row강원도 원주시 평원로 46 (평원동)
3rd row강원도 원주시 중앙로 46-4 (중앙동)
4th row강원도 원주시 중앙로 201-2 (학성동)
5th row강원도 원주시 치악로 1792 (개운동)
ValueCountFrequency (%)
강원도 248
18.7%
원주시 248
18.7%
단계동 99
 
7.5%
장미공원길 85
 
6.4%
학성동 50
 
3.8%
원일로 30
 
2.3%
지하1층 20
 
1.5%
평원로 20
 
1.5%
중앙로 18
 
1.4%
중앙동 18
 
1.4%
Other values (250) 487
36.8%
2023-12-13T02:47:36.196760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1075
17.5%
원 678
 
11.1%
( 260
 
4.2%
) 260
 
4.2%
주 252
 
4.1%
시 251
 
4.1%
강 248
 
4.0%
도 248
 
4.0%
동 245
 
4.0%
1 178
 
2.9%
Other values (94) 2434
39.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3416
55.7%
Space Separator 1075
 
17.5%
Decimal Number 888
 
14.5%
Open Punctuation 260
 
4.2%
Close Punctuation 260
 
4.2%
Other Punctuation 118
 
1.9%
Dash Punctuation 112
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 678
19.8%
주 252
 
7.4%
시 251
 
7.3%
강 248
 
7.3%
도 248
 
7.3%
동 245
 
7.2%
로 133
 
3.9%
단 125
 
3.7%
길 119
 
3.5%
계 117
 
3.4%
Other values (79) 1000
29.3%
Decimal Number
ValueCountFrequency (%)
1 178
20.0%
2 167
18.8%
5 91
10.2%
4 85
9.6%
6 83
9.3%
3 75
8.4%
0 71
 
8.0%
7 61
 
6.9%
8 47
 
5.3%
9 30
 
3.4%
Space Separator
ValueCountFrequency (%)
1075
100.0%
Open Punctuation
ValueCountFrequency (%)
( 260
100.0%
Close Punctuation
ValueCountFrequency (%)
) 260
100.0%
Other Punctuation
ValueCountFrequency (%)
, 118
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 112
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3416
55.7%
Common 2713
44.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 678
19.8%
주 252
 
7.4%
시 251
 
7.3%
강 248
 
7.3%
도 248
 
7.3%
동 245
 
7.2%
로 133
 
3.9%
단 125
 
3.7%
길 119
 
3.5%
계 117
 
3.4%
Other values (79) 1000
29.3%
Common
ValueCountFrequency (%)
1075
39.6%
( 260
 
9.6%
) 260
 
9.6%
1 178
 
6.6%
2 167
 
6.2%
, 118
 
4.3%
- 112
 
4.1%
5 91
 
3.4%
4 85
 
3.1%
6 83
 
3.1%
Other values (5) 284
 
10.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3416
55.7%
ASCII 2713
44.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1075
39.6%
( 260
 
9.6%
) 260
 
9.6%
1 178
 
6.6%
2 167
 
6.2%
, 118
 
4.3%
- 112
 
4.1%
5 91
 
3.4%
4 85
 
3.1%
6 83
 
3.1%
Other values (5) 284
 
10.5%
Hangul
ValueCountFrequency (%)
원 678
19.8%
주 252
 
7.4%
시 251
 
7.3%
강 248
 
7.3%
도 248
 
7.3%
동 245
 
7.2%
로 133
 
3.9%
단 125
 
3.7%
길 119
 
3.5%
계 117
 
3.4%
Other values (79) 1000
29.3%

소재지(지번)
Text

Distinct210
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-13T02:47:36.577875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length38
Mean length19.752
Min length15

Characters and Unicode

Total characters4938
Distinct characters79
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique181 ?
Unique (%)72.4%

Sample

1st row강원도 원주시 단계동 848-1
2nd row강원도 원주시 평원동 310-14
3rd row강원도 원주시 중앙동 268
4th row강원도 원주시 학성동 326-3
5th row강원도 원주시 개운동 383-13
ValueCountFrequency (%)
강원도 250
23.0%
원주시 250
23.0%
단계동 116
 
10.7%
학성동 59
 
5.4%
중앙동 20
 
1.8%
지하1층 16
 
1.5%
2층 13
 
1.2%
우산동 10
 
0.9%
단구동 9
 
0.8%
평원동 8
 
0.7%
Other values (229) 337
31.0%
2023-12-13T02:47:37.567017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1087
22.0%
원 513
 
10.4%
주 253
 
5.1%
강 250
 
5.1%
도 250
 
5.1%
시 250
 
5.1%
동 248
 
5.0%
- 230
 
4.7%
3 185
 
3.7%
1 174
 
3.5%
Other values (69) 1498
30.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2425
49.1%
Decimal Number 1141
23.1%
Space Separator 1087
22.0%
Dash Punctuation 230
 
4.7%
Close Punctuation 20
 
0.4%
Open Punctuation 20
 
0.4%
Other Punctuation 15
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 513
21.2%
주 253
10.4%
강 250
10.3%
도 250
10.3%
시 250
10.3%
동 248
10.2%
단 125
 
5.2%
계 117
 
4.8%
성 59
 
2.4%
학 59
 
2.4%
Other values (54) 301
12.4%
Decimal Number
ValueCountFrequency (%)
3 185
16.2%
1 174
15.2%
8 170
14.9%
2 145
12.7%
4 111
9.7%
5 105
9.2%
6 98
8.6%
0 77
6.7%
7 48
 
4.2%
9 28
 
2.5%
Space Separator
ValueCountFrequency (%)
1087
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 230
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Other Punctuation
ValueCountFrequency (%)
, 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2513
50.9%
Hangul 2425
49.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 513
21.2%
주 253
10.4%
강 250
10.3%
도 250
10.3%
시 250
10.3%
동 248
10.2%
단 125
 
5.2%
계 117
 
4.8%
성 59
 
2.4%
학 59
 
2.4%
Other values (54) 301
12.4%
Common
ValueCountFrequency (%)
1087
43.3%
- 230
 
9.2%
3 185
 
7.4%
1 174
 
6.9%
8 170
 
6.8%
2 145
 
5.8%
4 111
 
4.4%
5 105
 
4.2%
6 98
 
3.9%
0 77
 
3.1%
Other values (5) 131
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2513
50.9%
Hangul 2425
49.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1087
43.3%
- 230
 
9.2%
3 185
 
7.4%
1 174
 
6.9%
8 170
 
6.8%
2 145
 
5.8%
4 111
 
4.4%
5 105
 
4.2%
6 98
 
3.9%
0 77
 
3.1%
Other values (5) 131
 
5.2%
Hangul
ValueCountFrequency (%)
원 513
21.2%
주 253
10.4%
강 250
10.3%
도 250
10.3%
시 250
10.3%
동 248
10.2%
단 125
 
5.2%
계 117
 
4.8%
성 59
 
2.4%
학 59
 
2.4%
Other values (54) 301
12.4%

영업장면적
Text

Distinct249
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-13T02:47:38.014570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length5.408
Min length1

Characters and Unicode

Total characters1352
Distinct characters12
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

Unique248 ?
Unique (%)99.2%

Sample

1st row87.57
2nd row120.94
3rd row89.1
4th row130.36
5th row187.13
ValueCountFrequency (%)
111.89 2
 
0.8%
45.68 1
 
0.4%
117.84 1
 
0.4%
123.35 1
 
0.4%
98.82 1
 
0.4%
43.51 1
 
0.4%
78.46 1
 
0.4%
38.9 1
 
0.4%
173.43 1
 
0.4%
110.05 1
 
0.4%
Other values (239) 239
95.6%
2023-12-13T02:47:38.613444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 244
18.0%
1 218
16.1%
2 140
10.4%
8 111
8.2%
9 111
8.2%
3 98
7.2%
4 95
 
7.0%
5 91
 
6.7%
7 91
 
6.7%
0 78
 
5.8%
Other values (2) 75
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1107
81.9%
Other Punctuation 245
 
18.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 218
19.7%
2 140
12.6%
8 111
10.0%
9 111
10.0%
3 98
8.9%
4 95
8.6%
5 91
8.2%
7 91
8.2%
0 78
 
7.0%
6 74
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 244
99.6%
, 1
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
Common 1352
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 244
18.0%
1 218
16.1%
2 140
10.4%
8 111
8.2%
9 111
8.2%
3 98
7.2%
4 95
 
7.0%
5 91
 
6.7%
7 91
 
6.7%
0 78
 
5.8%
Other values (2) 75
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1352
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 244
18.0%
1 218
16.1%
2 140
10.4%
8 111
8.2%
9 111
8.2%
3 98
7.2%
4 95
 
7.0%
5 91
 
6.7%
7 91
 
6.7%
0 78
 
5.8%
Other values (2) 75
 
5.5%

소재지전화
Text

MISSING 

Distinct198
Distinct (%)98.5%
Missing49
Missing (%)19.6%
Memory size2.1 KiB
2023-12-13T02:47:38.894934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.004975
Min length12

Characters and Unicode

Total characters2413
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

Unique195 ?
Unique (%)97.0%

Sample

1st row033-744-9085
2nd row033-742-5111
3rd row033-743-7585
4th row033-735-7218
5th row033-761-9357
ValueCountFrequency (%)
033-744-1547 2
 
1.0%
033-742-3677 2
 
1.0%
033-742-0201 2
 
1.0%
033-747-2787 1
 
0.5%
033-761-7277 1
 
0.5%
033-742-0558 1
 
0.5%
033-764-1294 1
 
0.5%
033-744-6452 1
 
0.5%
033-746-6644 1
 
0.5%
033-744-4448 1
 
0.5%
Other values (189) 189
93.6%
2023-12-13T02:47:39.302932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 547
22.7%
- 402
16.7%
0 315
13.1%
7 308
12.8%
4 237
9.8%
2 148
 
6.1%
5 123
 
5.1%
8 96
 
4.0%
6 92
 
3.8%
1 85
 
3.5%
Other values (2) 60
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2010
83.3%
Dash Punctuation 402
 
16.7%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 547
27.2%
0 315
15.7%
7 308
15.3%
4 237
11.8%
2 148
 
7.4%
5 123
 
6.1%
8 96
 
4.8%
6 92
 
4.6%
1 85
 
4.2%
9 59
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 402
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2413
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 547
22.7%
- 402
16.7%
0 315
13.1%
7 308
12.8%
4 237
9.8%
2 148
 
6.1%
5 123
 
5.1%
8 96
 
4.0%
6 92
 
3.8%
1 85
 
3.5%
Other values (2) 60
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2413
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 547
22.7%
- 402
16.7%
0 315
13.1%
7 308
12.8%
4 237
9.8%
2 148
 
6.1%
5 123
 
5.1%
8 96
 
4.0%
6 92
 
3.8%
1 85
 
3.5%
Other values (2) 60
 
2.5%

업태명
Categorical

Distinct9
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
룸살롱
150 
기타
48 
간이주점
32 
고고(디스코)클럽
 
8
스텐드바
 
4
Other values (4)
 
8

Length

Max length12
Median length3
Mean length3.2
Min length2

Unique

Unique2 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
룸살롱 150
60.0%
기타 48
 
19.2%
간이주점 32
 
12.8%
고고(디스코)클럽 8
 
3.2%
스텐드바 4
 
1.6%
노래클럽 4
 
1.6%
카바레 2
 
0.8%
<NA> 1
 
0.4%
관광호텔나이트(카바레) 1
 
0.4%

Length

2023-12-13T02:47:39.475519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:47:39.610304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
룸살롱 150
60.0%
기타 48
 
19.2%
간이주점 32
 
12.8%
고고(디스코)클럽 8
 
3.2%
스텐드바 4
 
1.6%
노래클럽 4
 
1.6%
카바레 2
 
0.8%
na 1
 
0.4%
관광호텔나이트(카바레 1
 
0.4%

관리기관
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
강원도 원주시청
250 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row강원도 원주시청
2nd row강원도 원주시청
3rd row강원도 원주시청
4th row강원도 원주시청
5th row강원도 원주시청

Common Values

ValueCountFrequency (%)
강원도 원주시청 250
100.0%

Length

2023-12-13T02:47:39.771923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:47:39.878103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강원도 250
50.0%
원주시청 250
50.0%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
033-737-3778
250 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row033-737-3778
2nd row033-737-3778
3rd row033-737-3778
4th row033-737-3778
5th row033-737-3778

Common Values

ValueCountFrequency (%)
033-737-3778 250
100.0%

Length

2023-12-13T02:47:40.002917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:47:40.106185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
033-737-3778 250
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum2022-10-13 00:00:00
Maximum2022-10-13 00:00:00
2023-12-13T02:47:40.194230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:47:40.287679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Missing values

2023-12-13T02:47:33.792113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:47:33.957402image/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.
2023-12-13T02:47:34.104379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

업종명인허가일자업소명소재지(도로명)소재지(지번)영업장면적소재지전화업태명관리기관관리기관전화번호데이터기준일자
0유흥주점영업1974-10-12강남노래타운강원도 원주시 장미공원길 25-9, 지하1층 (단계동)강원도 원주시 단계동 848-187.57033-744-9085룸살롱강원도 원주시청033-737-37782022-10-13
1유흥주점영업1975-07-12윤씨방강원도 원주시 평원로 46 (평원동)강원도 원주시 평원동 310-14120.94033-742-5111룸살롱강원도 원주시청033-737-37782022-10-13
2유흥주점영업1976-03-15청춘강원도 원주시 중앙로 46-4 (중앙동)강원도 원주시 중앙동 26889.1033-743-7585룸살롱강원도 원주시청033-737-37782022-10-13
3유흥주점영업1976-03-15둥지강원도 원주시 중앙로 201-2 (학성동)강원도 원주시 학성동 326-3130.36033-735-7218룸살롱강원도 원주시청033-737-37782022-10-13
4유흥주점영업1977-03-03로또노래바강원도 원주시 치악로 1792 (개운동)강원도 원주시 개운동 383-13187.13033-761-9357룸살롱강원도 원주시청033-737-37782022-10-13
5유흥주점영업1979-11-28써니라이브강원도 원주시 천사로 30 (단계동)강원도 원주시 단계동 85884.88033-743-2777룸살롱강원도 원주시청033-737-37782022-10-13
6유흥주점영업1979-06-18무지개강원도 원주시 평원로 143 (학성동)강원도 원주시 학성동 430-3108.3033-745-6993룸살롱강원도 원주시청033-737-37782022-10-13
7유흥주점영업1980-06-11매직노래타운강원도 원주시 원일로 200-1 (학성동)강원도 원주시 학성동 303-2666033-742-9027룸살롱강원도 원주시청033-737-37782022-10-13
8유흥주점영업1980-07-07사라있네강원도 원주시 장미공원길 7 (단계동)강원도 원주시 단계동 849-1181.64033-744-6295룸살롱강원도 원주시청033-737-37782022-10-13
9유흥주점영업1981-07-11대목강원도 원주시 장미공원길 1 (단계동)강원도 원주시 단계동 851126.98033-743-1325룸살롱강원도 원주시청033-737-37782022-10-13
업종명인허가일자업소명소재지(도로명)소재지(지번)영업장면적소재지전화업태명관리기관관리기관전화번호데이터기준일자
240유흥주점영업2016-10-28나나바강원도 원주시 장미공원길 67-16, 1층 (단계동)강원도 원주시 단계동 853-3168.06<NA>스텐드바강원도 원주시청033-737-37782022-10-13
241유흥주점영업2016-12-05펀치강원도 원주시 장미공원길 52, 지상2층 (단계동)강원도 원주시 단계동 858-3 외 1필지, 지상2층508.15<NA>기타강원도 원주시청033-737-37782022-10-13
242유흥주점영업2017-04-11무시로강원도 원주시 문막읍 왕건로 48, 지상2층강원도 원주시 문막읍 동화리 1542-9 지상2층148.36033-735-7655기타강원도 원주시청033-737-37782022-10-13
243유흥주점영업2017-08-21하루노래타운강원도 원주시 치악로1614번길 2, 2층 (단구동)강원도 원주시 단구동 168-10 2층119.48<NA>노래클럽강원도 원주시청033-737-37782022-10-13
244유흥주점영업2017-11-14스타노래타운강원도 원주시 장미공원길 25-13, 2층 (단계동)강원도 원주시 단계동 848-3146.43033-747-2787노래클럽강원도 원주시청033-737-37782022-10-13
245유흥주점영업2018-05-09라온라이브강원도 원주시 장미공원길 67-2, 지상3층 (단계동)강원도 원주시 단계동 867197.65033-747-9918카바레강원도 원주시청033-737-37782022-10-13
246유흥주점영업2021-02-24트리플강원도 원주시 천사로 52, 2층 (단계동)강원도 원주시 단계동 856-2194.1033-745-3288룸살롱강원도 원주시청033-737-37782022-10-13
247유흥주점영업2021-08-06황금노래가요방강원도 원주시 문막읍 왕건로 17, 1층강원도 원주시 문막읍 동화리 1268-3217.04<NA>룸살롱강원도 원주시청033-737-37782022-10-13
248유흥주점영업2021-11-17명품노래궁라이브강원도 원주시 지정면 신지정로 180, 8층 801호강원도 원주시 지정면 가곡리 1348-10244.65<NA>룸살롱강원도 원주시청033-737-37782022-10-13
249유흥주점영업2022-08-04수박강원도 원주시 충정길 45, 1층 (학성동)강원도 원주시 학성동 303-1472<NA>룸살롱강원도 원주시청033-737-37782022-10-13