Overview

Dataset statistics

Number of variables60
Number of observations24
Missing cells864
Missing cells (%)60.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.4 KiB
Average record size in memory528.5 B

Variable types

Categorical13
Text9
DateTime4
Unsupported31
Numeric3

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,문화사업자구분명,지역구분명,총층수,주변환경명,제작취급품목내용,보험기관명,건물용도명,지상층수,지하층수,객실수,건축연면적,영문상호명,영문상호주소,선박총톤수,선박척수,선박제원,무대면적,좌석수,기념품종류,회의실별동시수용인원,시설면적,놀이기구수내역,놀이시설수,방송시설유무,발전시설유무,의무실유무,안내소유무,기획여행보험시작일자,기획여행보험종료일자,자본금,보험시작일자,보험종료일자,부대시설내역,시설규모
Author강북구
URLhttps://data.seoul.go.kr/dataList/OA-17610/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (75.0%)Imbalance
휴업시작일자 is highly imbalanced (75.0%)Imbalance
휴업종료일자 is highly imbalanced (75.0%)Imbalance
자본금 is highly imbalanced (52.7%)Imbalance
보험시작일자 is highly imbalanced (57.6%)Imbalance
보험종료일자 is highly imbalanced (57.6%)Imbalance
폐업일자 has 17 (70.8%) missing valuesMissing
재개업일자 has 24 (100.0%) missing valuesMissing
전화번호 has 19 (79.2%) missing valuesMissing
소재지면적 has 24 (100.0%) missing valuesMissing
소재지우편번호 has 19 (79.2%) missing valuesMissing
도로명우편번호 has 1 (4.2%) missing valuesMissing
업태구분명 has 24 (100.0%) missing valuesMissing
문화사업자구분명 has 24 (100.0%) missing valuesMissing
지역구분명 has 24 (100.0%) missing valuesMissing
총층수 has 24 (100.0%) missing valuesMissing
주변환경명 has 24 (100.0%) missing valuesMissing
제작취급품목내용 has 24 (100.0%) missing valuesMissing
보험기관명 has 20 (83.3%) missing valuesMissing
건물용도명 has 24 (100.0%) missing valuesMissing
지상층수 has 24 (100.0%) missing valuesMissing
지하층수 has 24 (100.0%) missing valuesMissing
객실수 has 24 (100.0%) missing valuesMissing
건축연면적 has 24 (100.0%) missing valuesMissing
영문상호명 has 22 (91.7%) missing valuesMissing
영문상호주소 has 22 (91.7%) missing valuesMissing
선박총톤수 has 24 (100.0%) missing valuesMissing
선박척수 has 24 (100.0%) missing valuesMissing
선박제원 has 24 (100.0%) missing valuesMissing
무대면적 has 24 (100.0%) missing valuesMissing
좌석수 has 24 (100.0%) missing valuesMissing
기념품종류 has 24 (100.0%) missing valuesMissing
회의실별동시수용인원 has 24 (100.0%) missing valuesMissing
시설면적 has 24 (100.0%) missing valuesMissing
놀이기구수내역 has 24 (100.0%) missing valuesMissing
놀이시설수 has 24 (100.0%) missing valuesMissing
방송시설유무 has 24 (100.0%) missing valuesMissing
발전시설유무 has 24 (100.0%) missing valuesMissing
의무실유무 has 24 (100.0%) missing valuesMissing
안내소유무 has 24 (100.0%) missing valuesMissing
기획여행보험시작일자 has 24 (100.0%) missing valuesMissing
기획여행보험종료일자 has 24 (100.0%) missing valuesMissing
부대시설내역 has 24 (100.0%) missing valuesMissing
시설규모 has 24 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
도로명주소 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
문화사업자구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주변환경명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물용도명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지상층수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지하층수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
객실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건축연면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박총톤수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박척수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박제원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
무대면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
좌석수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기념품종류 is an unsupported type, check if it needs cleaning or further analysisUnsupported
회의실별동시수용인원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이기구수내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이시설수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방송시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
발전시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
의무실유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
안내소유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
부대시설내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설규모 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 05:54:17.373102
Analysis finished2024-05-11 05:54:18.589605
Duration1.22 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
3080000
24 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3080000
2nd row3080000
3rd row3080000
4th row3080000
5th row3080000

Common Values

ValueCountFrequency (%)
3080000 24
100.0%

Length

2024-05-11T14:54:18.763834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:54:18.928547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3080000 24
100.0%

관리번호
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-05-11T14:54:19.226357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters480
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st rowCDFI2260042002000001
2nd rowCDFI2260042011000001
3rd rowCDFI2260042014000001
4th rowCDFI2260042014000002
5th rowCDFI2260042014000003
ValueCountFrequency (%)
cdfi2260042002000001 1
 
4.2%
cdfi2260042011000001 1
 
4.2%
cdfi2260042024000001 1
 
4.2%
cdfi2260042023000003 1
 
4.2%
cdfi2260042023000002 1
 
4.2%
cdfi2260042023000001 1
 
4.2%
cdfi2260042022000002 1
 
4.2%
cdfi2260042022000001 1
 
4.2%
cdfi2260042021000001 1
 
4.2%
cdfi2260042020000004 1
 
4.2%
Other values (14) 14
58.3%
2024-05-11T14:54:19.798666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 196
40.8%
2 93
19.4%
4 31
 
6.5%
6 25
 
5.2%
C 24
 
5.0%
D 24
 
5.0%
F 24
 
5.0%
I 24
 
5.0%
1 24
 
5.0%
3 6
 
1.2%
Other values (4) 9
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 384
80.0%
Uppercase Letter 96
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 196
51.0%
2 93
24.2%
4 31
 
8.1%
6 25
 
6.5%
1 24
 
6.2%
3 6
 
1.6%
9 5
 
1.3%
5 2
 
0.5%
7 1
 
0.3%
8 1
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
C 24
25.0%
D 24
25.0%
F 24
25.0%
I 24
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 384
80.0%
Latin 96
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 196
51.0%
2 93
24.2%
4 31
 
8.1%
6 25
 
6.5%
1 24
 
6.2%
3 6
 
1.6%
9 5
 
1.3%
5 2
 
0.5%
7 1
 
0.3%
8 1
 
0.3%
Latin
ValueCountFrequency (%)
C 24
25.0%
D 24
25.0%
F 24
25.0%
I 24
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 480
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 196
40.8%
2 93
19.4%
4 31
 
6.5%
6 25
 
5.2%
C 24
 
5.0%
D 24
 
5.0%
F 24
 
5.0%
I 24
 
5.0%
1 24
 
5.0%
3 6
 
1.2%
Other values (4) 9
 
1.9%

인허가일자
Date

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum2001-04-11 00:00:00
Maximum2024-03-22 00:00:00
2024-05-11T14:54:20.051487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:54:20.299615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
23 
20080814
 
1

Length

Max length8
Median length4
Mean length4.1666667
Min length4

Unique

Unique1 ?
Unique (%)4.2%

Sample

1st row20080814
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 23
95.8%
20080814 1
 
4.2%

Length

2024-05-11T14:54:20.563576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:54:20.828866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
95.8%
20080814 1
 
4.2%

영업상태코드
Categorical

Distinct5
Distinct (%)20.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
1
15 
5
5 
3
2 
4
 
1
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)8.3%

Sample

1st row4
2nd row1
3rd row1
4th row3
5th row5

Common Values

ValueCountFrequency (%)
1 15
62.5%
5 5
 
20.8%
3 2
 
8.3%
4 1
 
4.2%
2 1
 
4.2%

Length

2024-05-11T14:54:21.007487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:54:21.193409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 15
62.5%
5 5
 
20.8%
3 2
 
8.3%
4 1
 
4.2%
2 1
 
4.2%

영업상태명
Categorical

Distinct5
Distinct (%)20.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
영업/정상
15 
제외/삭제/전출
5 
폐업
2 
취소/말소/만료/정지/중지
 
1
휴업
 
1

Length

Max length14
Median length5
Mean length5.625
Min length2

Unique

Unique2 ?
Unique (%)8.3%

Sample

1st row취소/말소/만료/정지/중지
2nd row영업/정상
3rd row영업/정상
4th row폐업
5th row제외/삭제/전출

Common Values

ValueCountFrequency (%)
영업/정상 15
62.5%
제외/삭제/전출 5
 
20.8%
폐업 2
 
8.3%
취소/말소/만료/정지/중지 1
 
4.2%
휴업 1
 
4.2%

Length

2024-05-11T14:54:21.393707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:54:21.600804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 15
62.5%
제외/삭제/전출 5
 
20.8%
폐업 2
 
8.3%
취소/말소/만료/정지/중지 1
 
4.2%
휴업 1
 
4.2%

상세영업상태코드
Categorical

Distinct5
Distinct (%)20.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
13
15 
15
5 
3
2 
31
 
1
2
 
1

Length

Max length2
Median length2
Mean length1.875
Min length1

Unique

Unique2 ?
Unique (%)8.3%

Sample

1st row31
2nd row13
3rd row13
4th row3
5th row15

Common Values

ValueCountFrequency (%)
13 15
62.5%
15 5
 
20.8%
3 2
 
8.3%
31 1
 
4.2%
2 1
 
4.2%

Length

2024-05-11T14:54:21.829027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:54:22.056878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 15
62.5%
15 5
 
20.8%
3 2
 
8.3%
31 1
 
4.2%
2 1
 
4.2%

상세영업상태명
Categorical

Distinct5
Distinct (%)20.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
영업중
15 
전출
5 
폐업
2 
등록취소
 
1
휴업
 
1

Length

Max length4
Median length3
Mean length2.7083333
Min length2

Unique

Unique2 ?
Unique (%)8.3%

Sample

1st row등록취소
2nd row영업중
3rd row영업중
4th row폐업
5th row전출

Common Values

ValueCountFrequency (%)
영업중 15
62.5%
전출 5
 
20.8%
폐업 2
 
8.3%
등록취소 1
 
4.2%
휴업 1
 
4.2%

Length

2024-05-11T14:54:22.280521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:54:22.460350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 15
62.5%
전출 5
 
20.8%
폐업 2
 
8.3%
등록취소 1
 
4.2%
휴업 1
 
4.2%

폐업일자
Date

MISSING 

Distinct7
Distinct (%)100.0%
Missing17
Missing (%)70.8%
Memory size324.0 B
Minimum2022-08-02 00:00:00
Maximum2024-01-31 00:00:00
2024-05-11T14:54:22.610003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:54:22.767913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
23 
20191031
 
1

Length

Max length8
Median length4
Mean length4.1666667
Min length4

Unique

Unique1 ?
Unique (%)4.2%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 23
95.8%
20191031 1
 
4.2%

Length

2024-05-11T14:54:23.012602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:54:23.182601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
95.8%
20191031 1
 
4.2%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
23 
20201031
 
1

Length

Max length8
Median length4
Mean length4.1666667
Min length4

Unique

Unique1 ?
Unique (%)4.2%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 23
95.8%
20201031 1
 
4.2%

Length

2024-05-11T14:54:23.359573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:54:23.541711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
95.8%
20201031 1
 
4.2%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

전화번호
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing19
Missing (%)79.2%
Memory size324.0 B
2024-05-11T14:54:23.740132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length9.4
Min length8

Characters and Unicode

Total characters47
Distinct characters10
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

Unique5 ?
Unique (%)100.0%

Sample

1st row984-1161
2nd row992-8777
3rd row6013-6112
4th row02-388-1248
5th row02-980-7211
ValueCountFrequency (%)
984-1161 1
20.0%
992-8777 1
20.0%
6013-6112 1
20.0%
02-388-1248 1
20.0%
02-980-7211 1
20.0%
2024-05-11T14:54:24.230427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 9
19.1%
- 7
14.9%
8 6
12.8%
2 6
12.8%
9 4
8.5%
7 4
8.5%
0 4
8.5%
6 3
 
6.4%
4 2
 
4.3%
3 2
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 40
85.1%
Dash Punctuation 7
 
14.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 9
22.5%
8 6
15.0%
2 6
15.0%
9 4
10.0%
7 4
10.0%
0 4
10.0%
6 3
 
7.5%
4 2
 
5.0%
3 2
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 47
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 9
19.1%
- 7
14.9%
8 6
12.8%
2 6
12.8%
9 4
8.5%
7 4
8.5%
0 4
8.5%
6 3
 
6.4%
4 2
 
4.3%
3 2
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 47
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 9
19.1%
- 7
14.9%
8 6
12.8%
2 6
12.8%
9 4
8.5%
7 4
8.5%
0 4
8.5%
6 3
 
6.4%
4 2
 
4.3%
3 2
 
4.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

소재지우편번호
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing19
Missing (%)79.2%
Memory size324.0 B
2024-05-11T14:54:24.464098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length6.6
Min length6

Characters and Unicode

Total characters33
Distinct characters8
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

Unique5 ?
Unique (%)100.0%

Sample

1st row142804
2nd row142-804
3rd row142-100
4th row142100
5th row142-073
ValueCountFrequency (%)
142804 1
20.0%
142-804 1
20.0%
142-100 1
20.0%
142100 1
20.0%
142-073 1
20.0%
2024-05-11T14:54:25.027869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 7
21.2%
4 7
21.2%
0 7
21.2%
2 5
15.2%
- 3
9.1%
8 2
 
6.1%
7 1
 
3.0%
3 1
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Dash Punctuation 3
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 7
23.3%
4 7
23.3%
0 7
23.3%
2 5
16.7%
8 2
 
6.7%
7 1
 
3.3%
3 1
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 7
21.2%
4 7
21.2%
0 7
21.2%
2 5
15.2%
- 3
9.1%
8 2
 
6.1%
7 1
 
3.0%
3 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 7
21.2%
4 7
21.2%
0 7
21.2%
2 5
15.2%
- 3
9.1%
8 2
 
6.1%
7 1
 
3.0%
3 1
 
3.0%

지번주소
Text

Distinct21
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-05-11T14:54:25.412045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length28
Mean length24.125
Min length18

Characters and Unicode

Total characters579
Distinct characters48
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)79.2%

Sample

1st row서울특별시 강북구 미아동 42-8번지
2nd row서울특별시 강북구 미아동 35-5
3rd row서울특별시 강북구 미아동 207-14
4th row서울특별시 강북구 미아동 38-21
5th row서울특별시 강북구 수유동 191-77
ValueCountFrequency (%)
서울특별시 24
20.9%
강북구 24
20.9%
미아동 16
13.9%
수유동 5
 
4.3%
304-2 3
 
2.6%
상아빌딩 3
 
2.6%
4층 3
 
2.6%
번동 3
 
2.6%
472-193 2
 
1.7%
건우빌딩 2
 
1.7%
Other values (29) 30
26.1%
2024-05-11T14:54:26.054188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
97
 
16.8%
- 25
 
4.3%
북 25
 
4.3%
서 24
 
4.1%
강 24
 
4.1%
구 24
 
4.1%
동 24
 
4.1%
시 24
 
4.1%
별 24
 
4.1%
특 24
 
4.1%
Other values (38) 264
45.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 328
56.6%
Decimal Number 127
 
21.9%
Space Separator 97
 
16.8%
Dash Punctuation 25
 
4.3%
Uppercase Letter 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
북 25
 
7.6%
서 24
 
7.3%
강 24
 
7.3%
구 24
 
7.3%
동 24
 
7.3%
시 24
 
7.3%
별 24
 
7.3%
특 24
 
7.3%
울 24
 
7.3%
아 20
 
6.1%
Other values (24) 91
27.7%
Decimal Number
ValueCountFrequency (%)
1 22
17.3%
4 22
17.3%
2 21
16.5%
3 17
13.4%
0 9
7.1%
6 9
7.1%
5 7
 
5.5%
8 7
 
5.5%
9 7
 
5.5%
7 6
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
D 1
50.0%
R 1
50.0%
Space Separator
ValueCountFrequency (%)
97
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 328
56.6%
Common 249
43.0%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
북 25
 
7.6%
서 24
 
7.3%
강 24
 
7.3%
구 24
 
7.3%
동 24
 
7.3%
시 24
 
7.3%
별 24
 
7.3%
특 24
 
7.3%
울 24
 
7.3%
아 20
 
6.1%
Other values (24) 91
27.7%
Common
ValueCountFrequency (%)
97
39.0%
- 25
 
10.0%
1 22
 
8.8%
4 22
 
8.8%
2 21
 
8.4%
3 17
 
6.8%
0 9
 
3.6%
6 9
 
3.6%
5 7
 
2.8%
8 7
 
2.8%
Other values (2) 13
 
5.2%
Latin
ValueCountFrequency (%)
D 1
50.0%
R 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 328
56.6%
ASCII 251
43.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
97
38.6%
- 25
 
10.0%
1 22
 
8.8%
4 22
 
8.8%
2 21
 
8.4%
3 17
 
6.8%
0 9
 
3.6%
6 9
 
3.6%
5 7
 
2.8%
8 7
 
2.8%
Other values (4) 15
 
6.0%
Hangul
ValueCountFrequency (%)
북 25
 
7.6%
서 24
 
7.3%
강 24
 
7.3%
구 24
 
7.3%
동 24
 
7.3%
시 24
 
7.3%
별 24
 
7.3%
특 24
 
7.3%
울 24
 
7.3%
아 20
 
6.1%
Other values (24) 91
27.7%

도로명주소
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-05-11T14:54:26.407057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length35
Mean length31.041667
Min length21

Characters and Unicode

Total characters745
Distinct characters69
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row서울특별시 강북구 도봉로 16 (미아동)
2nd row서울특별시 강북구 도봉로 30 (미아동)
3rd row서울특별시 강북구 솔매로45길 30 (미아동)
4th row서울특별시 강북구 월계로3길 35, 0동 (미아동)
5th row서울특별시 강북구 한천로139길 41 (수유동)
ValueCountFrequency (%)
서울특별시 24
15.6%
강북구 24
15.6%
미아동 16
 
10.4%
도봉로 10
 
6.5%
4층 7
 
4.5%
수유동 5
 
3.2%
328 3
 
1.9%
상아빌딩 3
 
1.9%
191 3
 
1.9%
144 3
 
1.9%
Other values (46) 56
36.4%
2024-05-11T14:54:27.023979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
131
 
17.6%
동 25
 
3.4%
북 25
 
3.4%
서 24
 
3.2%
4 24
 
3.2%
울 24
 
3.2%
) 24
 
3.2%
( 24
 
3.2%
로 24
 
3.2%
구 24
 
3.2%
Other values (59) 396
53.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 414
55.6%
Space Separator 131
 
17.6%
Decimal Number 127
 
17.0%
Close Punctuation 24
 
3.2%
Open Punctuation 24
 
3.2%
Other Punctuation 19
 
2.6%
Dash Punctuation 4
 
0.5%
Uppercase Letter 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 25
 
6.0%
북 25
 
6.0%
서 24
 
5.8%
울 24
 
5.8%
로 24
 
5.8%
구 24
 
5.8%
강 24
 
5.8%
시 24
 
5.8%
별 24
 
5.8%
특 24
 
5.8%
Other values (42) 172
41.5%
Decimal Number
ValueCountFrequency (%)
4 24
18.9%
3 23
18.1%
1 21
16.5%
0 14
11.0%
2 13
10.2%
8 10
7.9%
5 8
 
6.3%
9 5
 
3.9%
6 5
 
3.9%
7 4
 
3.1%
Uppercase Letter
ValueCountFrequency (%)
D 1
50.0%
R 1
50.0%
Space Separator
ValueCountFrequency (%)
131
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Other Punctuation
ValueCountFrequency (%)
, 19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 414
55.6%
Common 329
44.2%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 25
 
6.0%
북 25
 
6.0%
서 24
 
5.8%
울 24
 
5.8%
로 24
 
5.8%
구 24
 
5.8%
강 24
 
5.8%
시 24
 
5.8%
별 24
 
5.8%
특 24
 
5.8%
Other values (42) 172
41.5%
Common
ValueCountFrequency (%)
131
39.8%
4 24
 
7.3%
) 24
 
7.3%
( 24
 
7.3%
3 23
 
7.0%
1 21
 
6.4%
, 19
 
5.8%
0 14
 
4.3%
2 13
 
4.0%
8 10
 
3.0%
Other values (5) 26
 
7.9%
Latin
ValueCountFrequency (%)
D 1
50.0%
R 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 414
55.6%
ASCII 331
44.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
131
39.6%
4 24
 
7.3%
) 24
 
7.3%
( 24
 
7.3%
3 23
 
6.9%
1 21
 
6.3%
, 19
 
5.7%
0 14
 
4.2%
2 13
 
3.9%
8 10
 
3.0%
Other values (7) 28
 
8.5%
Hangul
ValueCountFrequency (%)
동 25
 
6.0%
북 25
 
6.0%
서 24
 
5.8%
울 24
 
5.8%
로 24
 
5.8%
구 24
 
5.8%
강 24
 
5.8%
시 24
 
5.8%
별 24
 
5.8%
특 24
 
5.8%
Other values (42) 172
41.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)60.9%
Missing1
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean1135.3478
Minimum1042
Maximum1221
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-05-11T14:54:27.245583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1042
5-th percentile1047.6
Q11092.5
median1125
Q31170
95-th percentile1220
Maximum1221
Range179
Interquartile range (IQR)77.5

Descriptive statistics

Standard deviation57.379604
Coefficient of variation (CV)0.050539229
Kurtosis-1.0608931
Mean1135.3478
Median Absolute Deviation (MAD)45
Skewness-0.081765828
Sum26113
Variance3292.419
MonotonicityNot monotonic
2024-05-11T14:54:27.511563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1125 3
12.5%
1161 3
12.5%
1170 3
12.5%
1220 2
8.3%
1111 2
8.3%
1062 2
8.3%
1074 1
 
4.2%
1221 1
 
4.2%
1175 1
 
4.2%
1214 1
 
4.2%
Other values (4) 4
16.7%
ValueCountFrequency (%)
1042 1
 
4.2%
1046 1
 
4.2%
1062 2
8.3%
1069 1
 
4.2%
1074 1
 
4.2%
1111 2
8.3%
1118 1
 
4.2%
1125 3
12.5%
1161 3
12.5%
1170 3
12.5%
ValueCountFrequency (%)
1221 1
 
4.2%
1220 2
8.3%
1214 1
 
4.2%
1175 1
 
4.2%
1170 3
12.5%
1161 3
12.5%
1125 3
12.5%
1118 1
 
4.2%
1111 2
8.3%
1074 1
 
4.2%

사업장명
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-05-11T14:54:27.803359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length8
Min length4

Characters and Unicode

Total characters192
Distinct characters74
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

Unique24 ?
Unique (%)100.0%

Sample

1st row(주)티피시투어
2nd row(주)동화항공여행사
3rd row서울백마여행
4th row(주)남주
5th row백두국제여행사
ValueCountFrequency (%)
주식회사 7
21.9%
주)티피시투어 1
 
3.1%
주)그래비티코리아 1
 
3.1%
세주아이엔씨투어 1
 
3.1%
우리하늘여행사 1
 
3.1%
바로컴퍼니 1
 
3.1%
타이루스 1
 
3.1%
한유국제 1
 
3.1%
타스메디아투어 1
 
3.1%
주)하나타임투어 1
 
3.1%
Other values (16) 16
50.0%
2024-05-11T14:54:28.356630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 18
 
9.4%
사 12
 
6.2%
( 9
 
4.7%
) 9
 
4.7%
8
 
4.2%
회 7
 
3.6%
식 7
 
3.6%
투 7
 
3.6%
어 7
 
3.6%
행 6
 
3.1%
Other values (64) 102
53.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 166
86.5%
Open Punctuation 9
 
4.7%
Close Punctuation 9
 
4.7%
Space Separator 8
 
4.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 18
 
10.8%
사 12
 
7.2%
회 7
 
4.2%
식 7
 
4.2%
투 7
 
4.2%
어 7
 
4.2%
행 6
 
3.6%
여 6
 
3.6%
제 6
 
3.6%
이 5
 
3.0%
Other values (61) 85
51.2%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 166
86.5%
Common 26
 
13.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 18
 
10.8%
사 12
 
7.2%
회 7
 
4.2%
식 7
 
4.2%
투 7
 
4.2%
어 7
 
4.2%
행 6
 
3.6%
여 6
 
3.6%
제 6
 
3.6%
이 5
 
3.0%
Other values (61) 85
51.2%
Common
ValueCountFrequency (%)
( 9
34.6%
) 9
34.6%
8
30.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 166
86.5%
ASCII 26
 
13.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 18
 
10.8%
사 12
 
7.2%
회 7
 
4.2%
식 7
 
4.2%
투 7
 
4.2%
어 7
 
4.2%
행 6
 
3.6%
여 6
 
3.6%
제 6
 
3.6%
이 5
 
3.0%
Other values (61) 85
51.2%
ASCII
ValueCountFrequency (%)
( 9
34.6%
) 9
34.6%
8
30.8%

최종수정일자
Date

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum2009-12-04 15:05:09
Maximum2024-03-28 13:51:39
2024-05-11T14:54:28.570013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:54:28.746804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

데이터갱신구분
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
U
21 
I
3 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowI
2nd rowU
3rd rowU
4th rowU
5th rowU

Common Values

ValueCountFrequency (%)
U 21
87.5%
I 3
 
12.5%

Length

2024-05-11T14:54:28.948902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:54:29.115397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 21
87.5%
i 3
 
12.5%

데이터갱신일자
Date

Distinct23
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-02 22:03:00
2024-05-11T14:54:29.285895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:54:29.494532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

좌표정보(X)
Real number (ℝ)

Distinct18
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean202160.55
Minimum201459.56
Maximum202718.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-05-11T14:54:29.704565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201459.56
5-th percentile201505.41
Q1202041.34
median202152.68
Q3202443.44
95-th percentile202665.05
Maximum202718.85
Range1259.2934
Interquartile range (IQR)402.1033

Descriptive statistics

Standard deviation366.9556
Coefficient of variation (CV)0.0018151692
Kurtosis-0.31111618
Mean202160.55
Median Absolute Deviation (MAD)215.31534
Skewness-0.46444639
Sum4851853.1
Variance134656.41
MonotonicityNot monotonic
2024-05-11T14:54:29.904361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
202443.441398401 3
 
12.5%
202228.431717714 3
 
12.5%
202044.19825778 2
 
8.3%
201505.406518175 2
 
8.3%
202651.538047427 1
 
4.2%
201933.156669429 1
 
4.2%
202067.662312043 1
 
4.2%
202363.787344248 1
 
4.2%
202032.757631932 1
 
4.2%
201459.560712747 1
 
4.2%
Other values (8) 8
33.3%
ValueCountFrequency (%)
201459.560712747 1
4.2%
201505.406518175 2
8.3%
201606.445832012 1
4.2%
201933.156669429 1
4.2%
202032.757631932 1
4.2%
202044.19825778 2
8.3%
202067.662312043 1
4.2%
202143.835279787 1
4.2%
202146.713366311 1
4.2%
202149.96355822 1
4.2%
ValueCountFrequency (%)
202718.854131156 1
 
4.2%
202667.437 1
 
4.2%
202651.538047427 1
 
4.2%
202641.157422978 1
 
4.2%
202443.441398401 3
12.5%
202363.787344248 1
 
4.2%
202228.431717714 3
12.5%
202155.401317068 1
 
4.2%
202149.96355822 1
 
4.2%
202146.713366311 1
 
4.2%

좌표정보(Y)
Real number (ℝ)

Distinct18
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean458222.86
Minimum456473.89
Maximum460561.52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-05-11T14:54:30.096777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum456473.89
5-th percentile456536.38
Q1457708.15
median458207.22
Q3459009.66
95-th percentile459938.17
Maximum460561.52
Range4087.6358
Interquartile range (IQR)1301.5152

Descriptive statistics

Standard deviation1146.7877
Coefficient of variation (CV)0.0025026854
Kurtosis-0.56172676
Mean458222.86
Median Absolute Deviation (MAD)719.18407
Skewness0.044899378
Sum10997349
Variance1315122
MonotonicityNot monotonic
2024-05-11T14:54:30.315836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
457708.146944977 3
 
12.5%
458158.105668456 3
 
12.5%
458256.329249215 2
 
8.3%
458926.401526974 2
 
8.3%
456473.886142136 1
 
4.2%
456586.330666247 1
 
4.2%
458512.645758757 1
 
4.2%
459263.043498888 1
 
4.2%
459259.443978524 1
 
4.2%
460561.52194875 1
 
4.2%
Other values (8) 8
33.3%
ValueCountFrequency (%)
456473.886142136 1
 
4.2%
456533.819495897 1
 
4.2%
456550.882187092 1
 
4.2%
456586.330666247 1
 
4.2%
456588.839527418 1
 
4.2%
457708.146944977 3
12.5%
457719.9187469 1
 
4.2%
458158.105668456 3
12.5%
458256.329249215 2
8.3%
458342.085285706 1
 
4.2%
ValueCountFrequency (%)
460561.52194875 1
4.2%
460001.632075829 1
4.2%
459578.520770085 1
4.2%
459411.940883021 1
4.2%
459263.043498888 1
4.2%
459259.443978524 1
4.2%
458926.401526974 2
8.3%
458512.645758757 1
4.2%
458342.085285706 1
4.2%
458256.329249215 2
8.3%

문화체육업종명
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
17 
종합여행업
7 

Length

Max length5
Median length4
Mean length4.2916667
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row종합여행업
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 17
70.8%
종합여행업 7
29.2%

Length

2024-05-11T14:54:30.560829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:54:30.730921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 17
70.8%
종합여행업 7
29.2%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

총층수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

보험기관명
Text

MISSING 

Distinct4
Distinct (%)100.0%
Missing20
Missing (%)83.3%
Memory size324.0 B
2024-05-11T14:54:30.956640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14.5
Mean length13.25
Min length6

Characters and Unicode

Total characters53
Distinct characters28
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

Unique4 ?
Unique (%)100.0%

Sample

1st row서울보증보험
2nd row한국관광협회중앙회 여행공제회
3rd row서울보증보험(주)-5천만원
4th row한국관광협회(50,000,000)
ValueCountFrequency (%)
서울보증보험 1
20.0%
한국관광협회중앙회 1
20.0%
여행공제회 1
20.0%
서울보증보험(주)-5천만원 1
20.0%
한국관광협회(50,000,000 1
20.0%
2024-05-11T14:54:31.452214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 7
 
13.2%
보 4
 
7.5%
회 4
 
7.5%
서 2
 
3.8%
협 2
 
3.8%
5 2
 
3.8%
) 2
 
3.8%
( 2
 
3.8%
울 2
 
3.8%
, 2
 
3.8%
Other values (18) 24
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 36
67.9%
Decimal Number 9
 
17.0%
Close Punctuation 2
 
3.8%
Open Punctuation 2
 
3.8%
Other Punctuation 2
 
3.8%
Dash Punctuation 1
 
1.9%
Space Separator 1
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
보 4
 
11.1%
회 4
 
11.1%
서 2
 
5.6%
협 2
 
5.6%
울 2
 
5.6%
광 2
 
5.6%
한 2
 
5.6%
증 2
 
5.6%
관 2
 
5.6%
험 2
 
5.6%
Other values (11) 12
33.3%
Decimal Number
ValueCountFrequency (%)
0 7
77.8%
5 2
 
22.2%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 36
67.9%
Common 17
32.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
보 4
 
11.1%
회 4
 
11.1%
서 2
 
5.6%
협 2
 
5.6%
울 2
 
5.6%
광 2
 
5.6%
한 2
 
5.6%
증 2
 
5.6%
관 2
 
5.6%
험 2
 
5.6%
Other values (11) 12
33.3%
Common
ValueCountFrequency (%)
0 7
41.2%
5 2
 
11.8%
) 2
 
11.8%
( 2
 
11.8%
, 2
 
11.8%
- 1
 
5.9%
1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 36
67.9%
ASCII 17
32.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7
41.2%
5 2
 
11.8%
) 2
 
11.8%
( 2
 
11.8%
, 2
 
11.8%
- 1
 
5.9%
1
 
5.9%
Hangul
ValueCountFrequency (%)
보 4
 
11.1%
회 4
 
11.1%
서 2
 
5.6%
협 2
 
5.6%
울 2
 
5.6%
광 2
 
5.6%
한 2
 
5.6%
증 2
 
5.6%
관 2
 
5.6%
험 2
 
5.6%
Other values (11) 12
33.3%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

지상층수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

지하층수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

객실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

건축연면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

영문상호명
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing22
Missing (%)91.7%
Memory size324.0 B
2024-05-11T14:54:31.740178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length17
Mean length17
Min length13

Characters and Unicode

Total characters34
Distinct characters20
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st rowMISO TRAVEL Co., Ltd.
2nd rowGRAVITY KOREA
ValueCountFrequency (%)
miso 1
16.7%
travel 1
16.7%
co 1
16.7%
ltd 1
16.7%
gravity 1
16.7%
korea 1
16.7%
2024-05-11T14:54:32.169301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4
 
11.8%
R 3
 
8.8%
A 3
 
8.8%
L 2
 
5.9%
O 2
 
5.9%
T 2
 
5.9%
V 2
 
5.9%
E 2
 
5.9%
I 2
 
5.9%
. 2
 
5.9%
Other values (10) 10
29.4%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 24
70.6%
Space Separator 4
 
11.8%
Other Punctuation 3
 
8.8%
Lowercase Letter 3
 
8.8%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
R 3
12.5%
A 3
12.5%
L 2
8.3%
O 2
8.3%
T 2
8.3%
V 2
8.3%
E 2
8.3%
I 2
8.3%
Y 1
 
4.2%
G 1
 
4.2%
Other values (4) 4
16.7%
Lowercase Letter
ValueCountFrequency (%)
t 1
33.3%
d 1
33.3%
o 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
, 1
33.3%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 27
79.4%
Common 7
 
20.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
R 3
11.1%
A 3
11.1%
L 2
 
7.4%
O 2
 
7.4%
T 2
 
7.4%
V 2
 
7.4%
E 2
 
7.4%
I 2
 
7.4%
t 1
 
3.7%
Y 1
 
3.7%
Other values (7) 7
25.9%
Common
ValueCountFrequency (%)
4
57.1%
. 2
28.6%
, 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 34
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4
 
11.8%
R 3
 
8.8%
A 3
 
8.8%
L 2
 
5.9%
O 2
 
5.9%
T 2
 
5.9%
V 2
 
5.9%
E 2
 
5.9%
I 2
 
5.9%
. 2
 
5.9%
Other values (10) 10
29.4%

영문상호주소
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing22
Missing (%)91.7%
Memory size324.0 B
2024-05-11T14:54:32.373055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters46
Distinct characters22
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st rowGeneral Travel Business
2nd rowGENERAL TRAVEL BUSINESS
ValueCountFrequency (%)
general 2
33.3%
travel 2
33.3%
business 2
33.3%
2024-05-11T14:54:32.733730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 4
 
8.7%
4
 
8.7%
E 4
 
8.7%
s 3
 
6.5%
S 3
 
6.5%
L 2
 
4.3%
A 2
 
4.3%
R 2
 
4.3%
N 2
 
4.3%
G 2
 
4.3%
Other values (12) 18
39.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 24
52.2%
Lowercase Letter 18
39.1%
Space Separator 4
 
8.7%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 4
16.7%
S 3
12.5%
L 2
8.3%
A 2
8.3%
R 2
8.3%
N 2
8.3%
G 2
8.3%
B 2
8.3%
T 2
8.3%
V 1
 
4.2%
Other values (2) 2
8.3%
Lowercase Letter
ValueCountFrequency (%)
e 4
22.2%
s 3
16.7%
l 2
11.1%
a 2
11.1%
r 2
11.1%
n 2
11.1%
u 1
 
5.6%
i 1
 
5.6%
v 1
 
5.6%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 42
91.3%
Common 4
 
8.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 4
 
9.5%
E 4
 
9.5%
s 3
 
7.1%
S 3
 
7.1%
L 2
 
4.8%
A 2
 
4.8%
R 2
 
4.8%
N 2
 
4.8%
G 2
 
4.8%
B 2
 
4.8%
Other values (11) 16
38.1%
Common
ValueCountFrequency (%)
4
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 46
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 4
 
8.7%
4
 
8.7%
E 4
 
8.7%
s 3
 
6.5%
S 3
 
6.5%
L 2
 
4.3%
A 2
 
4.3%
R 2
 
4.3%
N 2
 
4.3%
G 2
 
4.3%
Other values (12) 18
39.1%

선박총톤수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

선박척수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

무대면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

좌석수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

회의실별동시수용인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

시설면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

놀이시설수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

자본금
Categorical

IMBALANCE 

Distinct6
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
19 
500000000
 
1
290000000
 
1
200000000
 
1
100000000
 
1

Length

Max length9
Median length4
Mean length5.0416667
Min length4

Unique

Unique5 ?
Unique (%)20.8%

Sample

1st row500000000
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 19
79.2%
500000000 1
 
4.2%
290000000 1
 
4.2%
200000000 1
 
4.2%
100000000 1
 
4.2%
200210366 1
 
4.2%

Length

2024-05-11T14:54:33.009572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:54:33.179696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
79.2%
500000000 1
 
4.2%
290000000 1
 
4.2%
200000000 1
 
4.2%
100000000 1
 
4.2%
200210366 1
 
4.2%

보험시작일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)20.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
20 
20161026
 
1
20171228
 
1
20181205
 
1
20190918
 
1

Length

Max length8
Median length4
Mean length4.6666667
Min length4

Unique

Unique4 ?
Unique (%)16.7%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 20
83.3%
20161026 1
 
4.2%
20171228 1
 
4.2%
20181205 1
 
4.2%
20190918 1
 
4.2%

Length

2024-05-11T14:54:33.377422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:54:33.916056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
83.3%
20161026 1
 
4.2%
20171228 1
 
4.2%
20181205 1
 
4.2%
20190918 1
 
4.2%

보험종료일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)20.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
20 
20171027
 
1
20181228
 
1
20191204
 
1
20200918
 
1

Length

Max length8
Median length4
Mean length4.6666667
Min length4

Unique

Unique4 ?
Unique (%)16.7%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 20
83.3%
20171027 1
 
4.2%
20181228 1
 
4.2%
20191204 1
 
4.2%
20200918 1
 
4.2%

Length

2024-05-11T14:54:34.120224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:54:34.303614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
83.3%
20171027 1
 
4.2%
20181228 1
 
4.2%
20191204 1
 
4.2%
20200918 1
 
4.2%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

시설규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03080000CDFI226004200200000120021009200808144취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA>142804서울특별시 강북구 미아동 42-8번지서울특별시 강북구 도봉로 16 (미아동)<NA>(주)티피시투어2009-12-04 15:05:09I2018-08-31 23:59:59.0<NA>202651.538047456473.886142종합여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>500000000<NA><NA><NA><NA>
13080000CDFI22600420110000012001-04-11<NA>1영업/정상13영업중<NA><NA><NA><NA>984-1161<NA>142-804서울특별시 강북구 미아동 35-5서울특별시 강북구 도봉로 30 (미아동)1220(주)동화항공여행사2023-09-08 13:30:17U2022-12-08 23:00:00.0<NA>202641.157423456588.839527<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23080000CDFI22600420140000012014-04-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>142-100서울특별시 강북구 미아동 207-14서울특별시 강북구 솔매로45길 30 (미아동)1125서울백마여행2024-03-21 11:05:45U2023-12-02 22:03:00.0<NA>202146.713366458342.085286<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33080000CDFI226004201400000220140801<NA>3폐업3폐업20220923<NA><NA><NA><NA><NA>142100서울특별시 강북구 미아동 38-21서울특별시 강북구 월계로3길 35, 0동 (미아동)1220(주)남주2022-09-23 17:47:21U2021-12-08 22:05:00.0<NA>202667.437456550.882187<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43080000CDFI22600420140000032014-03-06<NA>5제외/삭제/전출15전출2023-03-14<NA><NA><NA>992-8777<NA>142-073서울특별시 강북구 수유동 191-77서울특별시 강북구 한천로139길 41 (수유동)1074백두국제여행사2023-03-14 10:22:13U2022-12-02 23:06:00.0<NA>202149.963558459578.52077<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53080000CDFI226004201500000220101013<NA>1영업/정상13영업중<NA><NA><NA><NA>6013-6112<NA><NA>서울특별시 강북구 미아동 223-24번지 2층서울특별시 강북구 도봉로53길 32 (미아동)1125해드림투어 주식회사2017-08-04 15:34:14I2018-08-31 23:59:59.0<NA>202044.198258458256.329249종합여행업<NA><NA><NA><NA><NA>서울보증보험<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2900000002016102620171027<NA><NA>
63080000CDFI22600420170000012014-03-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 472-193 건우빌딩서울특별시 강북구 삼양로 328, 건우빌딩 3층 (수유동)1111주식회사 정원투어2023-01-31 18:28:13U2022-12-02 00:02:00.0<NA>201505.406518458926.401527<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73080000CDFI226004201800000220181012<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 131-6번지 4층 8-63호서울특별시 강북구 도봉로 144, 4층 8-63호 (미아동)1161(주)하모국제여행사2019-08-02 16:37:55U2019-08-04 02:40:00.0<NA>202443.441398457708.146945종합여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83080000CDFI226004201900000120111214<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 42-64번지서울특별시 강북구 도봉로4길 20, 2층 203호 (미아동)1221(주)미소여행사2019-01-15 09:02:50U2019-01-17 02:40:00.0<NA>202718.854131456533.819496종합여행업<NA><NA><NA><NA><NA>한국관광협회중앙회 여행공제회<NA><NA><NA><NA><NA>MISO TRAVEL Co., Ltd.General Travel Business<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2000000002017122820181228<NA><NA>
93080000CDFI226004201900000220190114<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 번동 446-13번지 가든타워빌딩서울특별시 강북구 도봉로 328, 가든타워빌딩 8층 803호 (번동)1062인제이 주식회사2019-01-14 17:12:06I2019-01-16 02:20:50.0<NA>202155.401317459411.940883종합여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
143080000CDFI226004202000000320201015<NA>5제외/삭제/전출15전출20220802<NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 472-193 건우빌딩서울특별시 강북구 삼양로 328, 건우빌딩 3071호 (수유동)1111주식회사 해나트래블2022-08-02 16:37:09U2021-12-08 00:04:00.0<NA>201505.406518458926.401527<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
153080000CDFI22600420200000042013-07-03<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 304-2 상아빌딩서울특별시 강북구 도봉로 191, 상아빌딩 4층 440호 (미아동)1170(주)가온월드2023-07-28 16:29:01U2022-12-06 21:00:00.0<NA>202228.431718458158.105668<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
163080000CDFI22600420210000012021-04-23<NA>1영업/정상13영업중<NA><NA><NA><NA>02-388-1248<NA><NA>서울특별시 강북구 미아동 223-24서울특별시 강북구 도봉로53길 32, 2층 (미아동)1125(주)하나타임투어2023-08-22 13:21:53U2022-12-07 22:04:00.0<NA>202044.198258458256.329249<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
173080000CDFI22600420220000012022-06-10<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 205 수유벽산아파트서울특별시 강북구 삼각산로 143-1, 204호호 (수유동, 수유벽산아파트)1042주식회사 타스메디아투어2023-11-09 16:44:46U2022-10-31 23:01:00.0<NA>201606.445832460001.632076<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
183080000CDFI22600420220000022022-12-02<NA>5제외/삭제/전출15전출2023-04-19<NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 131-6 4층 D-05호서울특별시 강북구 도봉로 144, 4층 D-05호 (미아동)1161한유국제2023-04-19 17:57:00U2022-12-03 22:03:00.0<NA>202443.441398457708.146945<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
193080000CDFI22600420230000012019-09-25<NA>5제외/삭제/전출15전출2024-01-31<NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 269-8 4층 409호서울특별시 강북구 노해로23길 123, 4층 409호 (수유동)1046타이루스2024-01-31 15:33:27U2023-12-02 00:02:00.0<NA>201459.560713460561.521949<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
203080000CDFI22600420230000022023-10-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 번동 449-1 북한산스카이빌딩 8층 R805호서울특별시 강북구 도봉로 308, 북한산스카이빌딩 8층 R805호 (번동)1062바로컴퍼니2023-10-31 16:45:37U2022-11-01 00:02:00.0<NA>202032.757632459259.443979<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
213080000CDFI22600420230000032023-11-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 번동 443-128 지층서울특별시 강북구 오패산로67길 11, 지층 (번동)1069우리하늘여행사2023-12-07 19:45:38U2022-11-02 00:09:00.0<NA>202363.787344459263.043499<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
223080000CDFI22600420240000012024-02-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 304-2 상아빌딩서울특별시 강북구 도봉로 191, 상아빌딩 4층 168호 (미아동)1170세주아이엔씨투어2024-02-15 16:59:01U2023-12-01 23:07:00.0<NA>202228.431718458158.105668<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
233080000CDFI22600420240000022024-03-22<NA>1영업/정상13영업중<NA><NA><NA><NA>02-980-7211<NA><NA>서울특별시 강북구 미아동 215-11서울특별시 강북구 솔매로45길 67, 1층 (미아동)1118주식회사 태현투어2024-03-28 13:51:39U2023-12-02 21:00:00.0<NA>202067.662312458512.645759<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>