Overview

Dataset statistics

Number of variables60
Number of observations50
Missing cells1732
Missing cells (%)57.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory25.6 KiB
Average record size in memory524.6 B

Variable types

Categorical13
Text9
DateTime3
Numeric7
Unsupported28

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
Author도봉구
URLhttps://data.seoul.go.kr/dataList/OA-17586/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
주변환경명 has constant value ""Constant
인허가취소일자 is highly imbalanced (85.9%)Imbalance
총층수 is highly imbalanced (85.9%)Imbalance
지상층수 is highly imbalanced (82.2%)Imbalance
지하층수 is highly imbalanced (85.9%)Imbalance
폐업일자 has 29 (58.0%) missing valuesMissing
휴업시작일자 has 50 (100.0%) missing valuesMissing
휴업종료일자 has 50 (100.0%) missing valuesMissing
재개업일자 has 50 (100.0%) missing valuesMissing
전화번호 has 13 (26.0%) missing valuesMissing
소재지면적 has 50 (100.0%) missing valuesMissing
소재지우편번호 has 31 (62.0%) missing valuesMissing
도로명우편번호 has 15 (30.0%) missing valuesMissing
업태구분명 has 50 (100.0%) missing valuesMissing
지역구분명 has 47 (94.0%) missing valuesMissing
주변환경명 has 49 (98.0%) missing valuesMissing
제작취급품목내용 has 50 (100.0%) missing valuesMissing
건물용도명 has 48 (96.0%) missing valuesMissing
객실수 has 50 (100.0%) missing valuesMissing
건축연면적 has 50 (100.0%) missing valuesMissing
영문상호명 has 50 (100.0%) missing valuesMissing
영문상호주소 has 50 (100.0%) missing valuesMissing
선박총톤수 has 50 (100.0%) missing valuesMissing
선박척수 has 50 (100.0%) missing valuesMissing
선박제원 has 50 (100.0%) missing valuesMissing
무대면적 has 50 (100.0%) missing valuesMissing
좌석수 has 50 (100.0%) missing valuesMissing
기념품종류 has 50 (100.0%) missing valuesMissing
회의실별동시수용인원 has 50 (100.0%) missing valuesMissing
시설면적 has 50 (100.0%) missing valuesMissing
놀이기구수내역 has 50 (100.0%) missing valuesMissing
놀이시설수 has 50 (100.0%) missing valuesMissing
방송시설유무 has 50 (100.0%) missing valuesMissing
발전시설유무 has 50 (100.0%) missing valuesMissing
의무실유무 has 50 (100.0%) missing valuesMissing
안내소유무 has 50 (100.0%) missing valuesMissing
기획여행보험시작일자 has 50 (100.0%) missing valuesMissing
기획여행보험종료일자 has 50 (100.0%) missing valuesMissing
자본금 has 30 (60.0%) missing valuesMissing
보험시작일자 has 35 (70.0%) missing valuesMissing
보험종료일자 has 35 (70.0%) missing valuesMissing
부대시설내역 has 50 (100.0%) missing valuesMissing
시설규모 has 50 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
도로명주소 has unique valuesUnique
최종수정일자 has unique valuesUnique
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
제작취급품목내용 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
영문상호명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영문상호주소 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 06:18:06.732492
Analysis finished2024-05-11 06:18:08.282324
Duration1.55 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
3090000
50 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3090000
2nd row3090000
3rd row3090000
4th row3090000
5th row3090000

Common Values

ValueCountFrequency (%)
3090000 50
100.0%

Length

2024-05-11T15:18:08.411814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:18:08.612110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3090000 50
100.0%

관리번호
Text

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-05-11T15:18:08.922730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1000
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

Unique50 ?
Unique (%)100.0%

Sample

1st rowCDFI2260022001000001
2nd rowCDFI2260022002000002
3rd rowCDFI2260022003000001
4th rowCDFI2260022006000002
5th rowCDFI2260022006000003
ValueCountFrequency (%)
cdfi2260022001000001 1
 
2.0%
cdfi2260022019000002 1
 
2.0%
cdfi2260022024000002 1
 
2.0%
cdfi2260022015000001 1
 
2.0%
cdfi2260022015000002 1
 
2.0%
cdfi2260022015000003 1
 
2.0%
cdfi2260022016000001 1
 
2.0%
cdfi2260022016000002 1
 
2.0%
cdfi2260022016000003 1
 
2.0%
cdfi2260022017000001 1
 
2.0%
Other values (40) 40
80.0%
2024-05-11T15:18:09.589943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 420
42.0%
2 235
23.5%
6 56
 
5.6%
C 50
 
5.0%
D 50
 
5.0%
F 50
 
5.0%
I 50
 
5.0%
1 42
 
4.2%
3 17
 
1.7%
7 8
 
0.8%
Other values (4) 22
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 800
80.0%
Uppercase Letter 200
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 420
52.5%
2 235
29.4%
6 56
 
7.0%
1 42
 
5.2%
3 17
 
2.1%
7 8
 
1.0%
8 7
 
0.9%
4 7
 
0.9%
5 6
 
0.8%
9 2
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
C 50
25.0%
D 50
25.0%
F 50
25.0%
I 50
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 800
80.0%
Latin 200
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 420
52.5%
2 235
29.4%
6 56
 
7.0%
1 42
 
5.2%
3 17
 
2.1%
7 8
 
1.0%
8 7
 
0.9%
4 7
 
0.9%
5 6
 
0.8%
9 2
 
0.2%
Latin
ValueCountFrequency (%)
C 50
25.0%
D 50
25.0%
F 50
25.0%
I 50
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 420
42.0%
2 235
23.5%
6 56
 
5.6%
C 50
 
5.0%
D 50
 
5.0%
F 50
 
5.0%
I 50
 
5.0%
1 42
 
4.2%
3 17
 
1.7%
7 8
 
0.8%
Other values (4) 22
 
2.2%

인허가일자
Date

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
Minimum1995-04-07 00:00:00
Maximum2024-03-19 00:00:00
2024-05-11T15:18:09.887096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:18:10.172506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
49 
20120806
 
1

Length

Max length8
Median length4
Mean length4.08
Min length4

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 49
98.0%
20120806 1
 
2.0%

Length

2024-05-11T15:18:10.446286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:18:10.618843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
98.0%
20120806 1
 
2.0%

영업상태코드
Categorical

Distinct4
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
1
28 
3
17 
5
4 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 28
56.0%
3 17
34.0%
5 4
 
8.0%
4 1
 
2.0%

Length

2024-05-11T15:18:10.834145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:18:11.077441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 28
56.0%
3 17
34.0%
5 4
 
8.0%
4 1
 
2.0%

영업상태명
Categorical

Distinct4
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
영업/정상
28 
폐업
17 
제외/삭제/전출
4 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length4.4
Min length2

Unique

Unique1 ?
Unique (%)2.0%

Sample

1st row영업/정상
2nd row폐업
3rd row폐업
4th row폐업
5th row폐업

Common Values

ValueCountFrequency (%)
영업/정상 28
56.0%
폐업 17
34.0%
제외/삭제/전출 4
 
8.0%
취소/말소/만료/정지/중지 1
 
2.0%

Length

2024-05-11T15:18:11.275627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:18:11.446156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 28
56.0%
폐업 17
34.0%
제외/삭제/전출 4
 
8.0%
취소/말소/만료/정지/중지 1
 
2.0%

상세영업상태코드
Categorical

Distinct4
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
13
28 
3
17 
15
4 
31
 
1

Length

Max length2
Median length2
Mean length1.66
Min length1

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 28
56.0%
3 17
34.0%
15 4
 
8.0%
31 1
 
2.0%

Length

2024-05-11T15:18:11.660491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:18:11.846747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 28
56.0%
3 17
34.0%
15 4
 
8.0%
31 1
 
2.0%

상세영업상태명
Categorical

Distinct4
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
영업중
28 
폐업
17 
전출
4 
등록취소
 
1

Length

Max length4
Median length3
Mean length2.6
Min length2

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 28
56.0%
폐업 17
34.0%
전출 4
 
8.0%
등록취소 1
 
2.0%

Length

2024-05-11T15:18:12.101237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:18:12.335027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 28
56.0%
폐업 17
34.0%
전출 4
 
8.0%
등록취소 1
 
2.0%

폐업일자
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)100.0%
Missing29
Missing (%)58.0%
Infinite0
Infinite (%)0.0%
Mean20143966
Minimum20030513
Maximum20221006
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-05-11T15:18:12.561155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20030513
5-th percentile20061207
Q120090908
median20130930
Q320210205
95-th percentile20220802
Maximum20221006
Range190493
Interquartile range (IQR)119297

Descriptive statistics

Standard deviation63673.592
Coefficient of variation (CV)0.0031609263
Kurtosis-1.4707151
Mean20143966
Median Absolute Deviation (MAD)50807
Skewness-0.095049618
Sum4.2302329 × 108
Variance4.0543263 × 109
MonotonicityNot monotonic
2024-05-11T15:18:12.836397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
20061207 1
 
2.0%
20221006 1
 
2.0%
20220415 1
 
2.0%
20210205 1
 
2.0%
20220802 1
 
2.0%
20180213 1
 
2.0%
20201006 1
 
2.0%
20160106 1
 
2.0%
20180319 1
 
2.0%
20220510 1
 
2.0%
Other values (11) 11
 
22.0%
(Missing) 29
58.0%
ValueCountFrequency (%)
20030513 1
2.0%
20061207 1
2.0%
20071226 1
2.0%
20080123 1
2.0%
20080930 1
2.0%
20090908 1
2.0%
20100420 1
2.0%
20100503 1
2.0%
20110715 1
2.0%
20130523 1
2.0%
ValueCountFrequency (%)
20221006 1
2.0%
20220802 1
2.0%
20220707 1
2.0%
20220510 1
2.0%
20220415 1
2.0%
20210205 1
2.0%
20201006 1
2.0%
20180319 1
2.0%
20180213 1
2.0%
20160106 1
2.0%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

전화번호
Text

MISSING 

Distinct37
Distinct (%)100.0%
Missing13
Missing (%)26.0%
Memory size532.0 B
2024-05-11T15:18:13.288596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10
Min length8

Characters and Unicode

Total characters370
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

Unique37 ?
Unique (%)100.0%

Sample

1st row996-3177
2nd row3491-4646
3rd row999-7828
4th row905-2897
5th row02-936-0995
ValueCountFrequency (%)
02-992-2114 1
 
2.6%
029078898 1
 
2.6%
02-3390-0406 1
 
2.6%
02 1
 
2.6%
904 1
 
2.6%
0161 1
 
2.6%
027790114 1
 
2.6%
02-908-0878 1
 
2.6%
02-2088-3513 1
 
2.6%
02-6228-1010 1
 
2.6%
Other values (29) 29
74.4%
2024-05-11T15:18:13.946539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 63
17.0%
9 54
14.6%
- 51
13.8%
2 37
10.0%
3 33
8.9%
7 28
7.6%
8 28
7.6%
1 20
 
5.4%
5 19
 
5.1%
6 18
 
4.9%
Other values (2) 19
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 316
85.4%
Dash Punctuation 51
 
13.8%
Space Separator 3
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 63
19.9%
9 54
17.1%
2 37
11.7%
3 33
10.4%
7 28
8.9%
8 28
8.9%
1 20
 
6.3%
5 19
 
6.0%
6 18
 
5.7%
4 16
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 51
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 370
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 63
17.0%
9 54
14.6%
- 51
13.8%
2 37
10.0%
3 33
8.9%
7 28
7.6%
8 28
7.6%
1 20
 
5.4%
5 19
 
5.1%
6 18
 
4.9%
Other values (2) 19
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 370
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 63
17.0%
9 54
14.6%
- 51
13.8%
2 37
10.0%
3 33
8.9%
7 28
7.6%
8 28
7.6%
1 20
 
5.4%
5 19
 
5.1%
6 18
 
4.9%
Other values (2) 19
 
5.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

소재지우편번호
Text

MISSING 

Distinct17
Distinct (%)89.5%
Missing31
Missing (%)62.0%
Memory size532.0 B
2024-05-11T15:18:14.288549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.2105263
Min length6

Characters and Unicode

Total characters118
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)78.9%

Sample

1st row132-898
2nd row132851
3rd row132864
4th row132856
5th row132924
ValueCountFrequency (%)
132866 2
 
10.5%
132898 2
 
10.5%
132923 1
 
5.3%
132-898 1
 
5.3%
132-854 1
 
5.3%
132908 1
 
5.3%
132-915 1
 
5.3%
132920 1
 
5.3%
132816 1
 
5.3%
132851 1
 
5.3%
Other values (7) 7
36.8%
2024-05-11T15:18:14.820397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 23
19.5%
1 22
18.6%
3 22
18.6%
8 18
15.3%
9 10
8.5%
6 8
 
6.8%
5 4
 
3.4%
- 4
 
3.4%
4 3
 
2.5%
0 3
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 114
96.6%
Dash Punctuation 4
 
3.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 23
20.2%
1 22
19.3%
3 22
19.3%
8 18
15.8%
9 10
8.8%
6 8
 
7.0%
5 4
 
3.5%
4 3
 
2.6%
0 3
 
2.6%
7 1
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 118
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 23
19.5%
1 22
18.6%
3 22
18.6%
8 18
15.3%
9 10
8.5%
6 8
 
6.8%
5 4
 
3.4%
- 4
 
3.4%
4 3
 
2.5%
0 3
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 118
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 23
19.5%
1 22
18.6%
3 22
18.6%
8 18
15.3%
9 10
8.5%
6 8
 
6.8%
5 4
 
3.4%
- 4
 
3.4%
4 3
 
2.5%
0 3
 
2.5%

지번주소
Text

Distinct48
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-05-11T15:18:15.275501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length30
Mean length25.14
Min length14

Characters and Unicode

Total characters1257
Distinct characters102
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)94.0%

Sample

1st row서울특별시 도봉구 창동 5-1 킹프라자 903호
2nd row서울특별시 도봉구 방학동 694-23번지 2층
3rd row서울특별시 도봉구 쌍문동 96-4번지 원형빌딩 503호
4th row서울특별시 도봉구 방학동 736번지
5th row서울특별시 도봉구 창동 659-29번지 삼성쉐르빌 524호
ValueCountFrequency (%)
서울특별시 50
19.7%
도봉구 49
19.3%
창동 26
 
10.2%
방학동 11
 
4.3%
쌍문동 7
 
2.8%
도봉동 6
 
2.4%
9 3
 
1.2%
2층 2
 
0.8%
삼성쉐르빌퍼스티 2
 
0.8%
3층 2
 
0.8%
Other values (94) 96
37.8%
2024-05-11T15:18:16.195985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
221
 
17.6%
도 55
 
4.4%
동 55
 
4.4%
봉 55
 
4.4%
서 51
 
4.1%
울 50
 
4.0%
구 50
 
4.0%
시 50
 
4.0%
별 50
 
4.0%
특 50
 
4.0%
Other values (92) 570
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 728
57.9%
Decimal Number 259
 
20.6%
Space Separator 221
 
17.6%
Dash Punctuation 39
 
3.1%
Uppercase Letter 8
 
0.6%
Other Symbol 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 55
 
7.6%
동 55
 
7.6%
봉 55
 
7.6%
서 51
 
7.0%
울 50
 
6.9%
구 50
 
6.9%
시 50
 
6.9%
별 50
 
6.9%
특 50
 
6.9%
창 26
 
3.6%
Other values (71) 236
32.4%
Decimal Number
ValueCountFrequency (%)
2 40
15.4%
6 35
13.5%
3 34
13.1%
1 27
10.4%
9 25
9.7%
5 24
9.3%
0 23
8.9%
8 19
7.3%
7 17
6.6%
4 15
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
B 2
25.0%
Y 1
12.5%
S 1
12.5%
O 1
12.5%
E 1
12.5%
Q 1
12.5%
D 1
12.5%
Space Separator
ValueCountFrequency (%)
221
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 729
58.0%
Common 520
41.4%
Latin 8
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 55
 
7.5%
동 55
 
7.5%
봉 55
 
7.5%
서 51
 
7.0%
울 50
 
6.9%
구 50
 
6.9%
시 50
 
6.9%
별 50
 
6.9%
특 50
 
6.9%
창 26
 
3.6%
Other values (72) 237
32.5%
Common
ValueCountFrequency (%)
221
42.5%
2 40
 
7.7%
- 39
 
7.5%
6 35
 
6.7%
3 34
 
6.5%
1 27
 
5.2%
9 25
 
4.8%
5 24
 
4.6%
0 23
 
4.4%
8 19
 
3.7%
Other values (3) 33
 
6.3%
Latin
ValueCountFrequency (%)
B 2
25.0%
Y 1
12.5%
S 1
12.5%
O 1
12.5%
E 1
12.5%
Q 1
12.5%
D 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 728
57.9%
ASCII 528
42.0%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
221
41.9%
2 40
 
7.6%
- 39
 
7.4%
6 35
 
6.6%
3 34
 
6.4%
1 27
 
5.1%
9 25
 
4.7%
5 24
 
4.5%
0 23
 
4.4%
8 19
 
3.6%
Other values (10) 41
 
7.8%
Hangul
ValueCountFrequency (%)
도 55
 
7.6%
동 55
 
7.6%
봉 55
 
7.6%
서 51
 
7.0%
울 50
 
6.9%
구 50
 
6.9%
시 50
 
6.9%
별 50
 
6.9%
특 50
 
6.9%
창 26
 
3.6%
Other values (71) 236
32.4%
None
ValueCountFrequency (%)
㈜ 1
100.0%

도로명주소
Text

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-05-11T15:18:16.748430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length42
Mean length34.58
Min length24

Characters and Unicode

Total characters1729
Distinct characters129
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)100.0%

Sample

1st row서울특별시 도봉구 마들로11가길 16, 903호 (창동,킹프라자)
2nd row서울특별시 도봉구 방학로6길 29 (방학동,2층)
3rd row서울특별시 도봉구 도봉로 461 (쌍문동,원형빌딩 503호)
4th row서울특별시 도봉구 방학로 210 (방학동)
5th row서울특별시 도봉구 도봉로 476 (창동,삼성쉐르빌 524호)
ValueCountFrequency (%)
서울특별시 50
 
15.2%
도봉구 49
 
14.9%
창동 20
 
6.1%
도봉로 8
 
2.4%
방학동 8
 
2.4%
도봉동 6
 
1.8%
1층 6
 
1.8%
노해로67길 4
 
1.2%
2 4
 
1.2%
마들로11가길 3
 
0.9%
Other values (144) 171
52.0%
2024-05-11T15:18:17.572631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
289
 
16.7%
봉 74
 
4.3%
도 74
 
4.3%
1 69
 
4.0%
동 57
 
3.3%
, 54
 
3.1%
서 51
 
2.9%
2 51
 
2.9%
시 51
 
2.9%
구 50
 
2.9%
Other values (119) 909
52.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 959
55.5%
Decimal Number 303
 
17.5%
Space Separator 289
 
16.7%
Other Punctuation 55
 
3.2%
Close Punctuation 50
 
2.9%
Open Punctuation 50
 
2.9%
Dash Punctuation 12
 
0.7%
Uppercase Letter 10
 
0.6%
Other Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
봉 74
 
7.7%
도 74
 
7.7%
동 57
 
5.9%
서 51
 
5.3%
시 51
 
5.3%
구 50
 
5.2%
별 50
 
5.2%
특 50
 
5.2%
울 50
 
5.2%
로 49
 
5.1%
Other values (94) 403
42.0%
Decimal Number
ValueCountFrequency (%)
1 69
22.8%
2 51
16.8%
0 32
10.6%
6 31
10.2%
3 25
 
8.3%
4 25
 
8.3%
7 25
 
8.3%
5 24
 
7.9%
8 14
 
4.6%
9 7
 
2.3%
Uppercase Letter
ValueCountFrequency (%)
A 2
20.0%
B 2
20.0%
E 1
10.0%
Q 1
10.0%
O 1
10.0%
Y 1
10.0%
S 1
10.0%
D 1
10.0%
Other Punctuation
ValueCountFrequency (%)
, 54
98.2%
/ 1
 
1.8%
Space Separator
ValueCountFrequency (%)
289
100.0%
Close Punctuation
ValueCountFrequency (%)
) 50
100.0%
Open Punctuation
ValueCountFrequency (%)
( 50
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 960
55.5%
Common 759
43.9%
Latin 10
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
봉 74
 
7.7%
도 74
 
7.7%
동 57
 
5.9%
서 51
 
5.3%
시 51
 
5.3%
구 50
 
5.2%
별 50
 
5.2%
특 50
 
5.2%
울 50
 
5.2%
로 49
 
5.1%
Other values (95) 404
42.1%
Common
ValueCountFrequency (%)
289
38.1%
1 69
 
9.1%
, 54
 
7.1%
2 51
 
6.7%
) 50
 
6.6%
( 50
 
6.6%
0 32
 
4.2%
6 31
 
4.1%
3 25
 
3.3%
4 25
 
3.3%
Other values (6) 83
 
10.9%
Latin
ValueCountFrequency (%)
A 2
20.0%
B 2
20.0%
E 1
10.0%
Q 1
10.0%
O 1
10.0%
Y 1
10.0%
S 1
10.0%
D 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 959
55.5%
ASCII 769
44.5%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
289
37.6%
1 69
 
9.0%
, 54
 
7.0%
2 51
 
6.6%
) 50
 
6.5%
( 50
 
6.5%
0 32
 
4.2%
6 31
 
4.0%
3 25
 
3.3%
4 25
 
3.3%
Other values (14) 93
 
12.1%
Hangul
ValueCountFrequency (%)
봉 74
 
7.7%
도 74
 
7.7%
동 57
 
5.9%
서 51
 
5.3%
시 51
 
5.3%
구 50
 
5.2%
별 50
 
5.2%
특 50
 
5.2%
울 50
 
5.2%
로 49
 
5.1%
Other values (94) 403
42.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)77.1%
Missing15
Missing (%)30.0%
Infinite0
Infinite (%)0.0%
Mean5151.8286
Minimum1303
Maximum132816
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-05-11T15:18:17.825671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1303
5-th percentile1307.7
Q11348.5
median1405
Q31448.5
95-th percentile1473.6
Maximum132816
Range131513
Interquartile range (IQR)100

Descriptive statistics

Standard deviation22213.926
Coefficient of variation (CV)4.3118526
Kurtosis34.999586
Mean5151.8286
Median Absolute Deviation (MAD)49
Skewness5.9160287
Sum180314
Variance4.9345849 × 108
MonotonicityNot monotonic
2024-05-11T15:18:18.109815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
1414 5
 
10.0%
1340 2
 
4.0%
1455 2
 
4.0%
1405 2
 
4.0%
1454 2
 
4.0%
132816 1
 
2.0%
1322 1
 
2.0%
1411 1
 
2.0%
1334 1
 
2.0%
1357 1
 
2.0%
Other values (17) 17
34.0%
(Missing) 15
30.0%
ValueCountFrequency (%)
1303 1
2.0%
1307 1
2.0%
1308 1
2.0%
1322 1
2.0%
1323 1
2.0%
1331 1
2.0%
1334 1
2.0%
1340 2
4.0%
1357 1
2.0%
1389 1
2.0%
ValueCountFrequency (%)
132816 1
 
2.0%
1475 1
 
2.0%
1473 1
 
2.0%
1462 1
 
2.0%
1458 1
 
2.0%
1455 2
 
4.0%
1454 2
 
4.0%
1443 1
 
2.0%
1436 1
 
2.0%
1414 5
10.0%

사업장명
Text

Distinct49
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-05-11T15:18:18.521244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length8.42
Min length2

Characters and Unicode

Total characters421
Distinct characters137
Distinct categories5 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)96.0%

Sample

1st row(주)신신항공
2nd row(주)지엠에이치(클럽위크엔드)
3rd row(주)그림같은여행사
4th row신동아
5th row하나사랑투어
ValueCountFrequency (%)
여행사 4
 
5.7%
투어 3
 
4.3%
주)풍경이 2
 
2.9%
tour 2
 
2.9%
주식회사 2
 
2.9%
있는 2
 
2.9%
주)신신항공 1
 
1.4%
닥골 1
 
1.4%
위드트립 1
 
1.4%
콘체르또 1
 
1.4%
Other values (51) 51
72.9%
2024-05-11T15:18:19.186745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 32
 
7.6%
) 32
 
7.6%
주 31
 
7.4%
20
 
4.8%
투 18
 
4.3%
어 18
 
4.3%
행 17
 
4.0%
여 16
 
3.8%
사 15
 
3.6%
이 9
 
2.1%
Other values (127) 213
50.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 316
75.1%
Open Punctuation 32
 
7.6%
Close Punctuation 32
 
7.6%
Uppercase Letter 21
 
5.0%
Space Separator 20
 
4.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 31
 
9.8%
투 18
 
5.7%
어 18
 
5.7%
행 17
 
5.4%
여 16
 
5.1%
사 15
 
4.7%
이 9
 
2.8%
트 6
 
1.9%
아 6
 
1.9%
에 5
 
1.6%
Other values (112) 175
55.4%
Uppercase Letter
ValueCountFrequency (%)
U 3
14.3%
R 3
14.3%
O 3
14.3%
I 2
9.5%
T 2
9.5%
N 2
9.5%
E 1
 
4.8%
A 1
 
4.8%
B 1
 
4.8%
H 1
 
4.8%
Other values (2) 2
9.5%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Space Separator
ValueCountFrequency (%)
20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 314
74.6%
Common 84
 
20.0%
Latin 21
 
5.0%
Han 2
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 31
 
9.9%
투 18
 
5.7%
어 18
 
5.7%
행 17
 
5.4%
여 16
 
5.1%
사 15
 
4.8%
이 9
 
2.9%
트 6
 
1.9%
아 6
 
1.9%
에 5
 
1.6%
Other values (110) 173
55.1%
Latin
ValueCountFrequency (%)
U 3
14.3%
R 3
14.3%
O 3
14.3%
I 2
9.5%
T 2
9.5%
N 2
9.5%
E 1
 
4.8%
A 1
 
4.8%
B 1
 
4.8%
H 1
 
4.8%
Other values (2) 2
9.5%
Common
ValueCountFrequency (%)
( 32
38.1%
) 32
38.1%
20
23.8%
Han
ValueCountFrequency (%)
世 1
50.0%
洋 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 314
74.6%
ASCII 105
 
24.9%
CJK 2
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 32
30.5%
) 32
30.5%
20
19.0%
U 3
 
2.9%
R 3
 
2.9%
O 3
 
2.9%
I 2
 
1.9%
T 2
 
1.9%
N 2
 
1.9%
E 1
 
1.0%
Other values (5) 5
 
4.8%
Hangul
ValueCountFrequency (%)
주 31
 
9.9%
투 18
 
5.7%
어 18
 
5.7%
행 17
 
5.4%
여 16
 
5.1%
사 15
 
4.8%
이 9
 
2.9%
트 6
 
1.9%
아 6
 
1.9%
에 5
 
1.6%
Other values (110) 173
55.1%
CJK
ValueCountFrequency (%)
世 1
50.0%
洋 1
50.0%

최종수정일자
Date

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
Minimum2003-05-14 17:39:44
Maximum2024-04-12 10:49:15
2024-05-11T15:18:19.414854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:18:19.678932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
U
33 
I
17 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 33
66.0%
I 17
34.0%

Length

2024-05-11T15:18:19.927075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:18:20.099073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 33
66.0%
i 17
34.0%

데이터갱신일자
Date

Distinct26
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:04:00
2024-05-11T15:18:20.381769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:18:20.648046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

좌표정보(X)
Real number (ℝ)

Distinct43
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean203317.72
Minimum191144.68
Maximum204357.38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-05-11T15:18:20.882397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191144.68
5-th percentile202826.14
Q1203040.39
median203560.08
Q3204025.21
95-th percentile204345.83
Maximum204357.38
Range13212.705
Interquartile range (IQR)984.8258

Descriptive statistics

Standard deviation1838.2415
Coefficient of variation (CV)0.0090412259
Kurtosis41.192014
Mean203317.72
Median Absolute Deviation (MAD)518.63624
Skewness-6.1347128
Sum10165886
Variance3379131.7
MonotonicityNot monotonic
2024-05-11T15:18:21.126120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
204345.826664906 4
 
8.0%
202999.2675169 3
 
6.0%
203790.013568785 2
 
4.0%
202826.137550803 2
 
4.0%
202957.570310499 1
 
2.0%
203882.238752491 1
 
2.0%
203829.111902755 1
 
2.0%
204083.769271308 1
 
2.0%
203511.533290165 1
 
2.0%
202934.346604855 1
 
2.0%
Other values (33) 33
66.0%
ValueCountFrequency (%)
191144.678297319 1
 
2.0%
202474.809554554 1
 
2.0%
202826.137550803 2
4.0%
202871.080504567 1
 
2.0%
202909.032001031 1
 
2.0%
202934.346604855 1
 
2.0%
202934.945808725 1
 
2.0%
202957.570310499 1
 
2.0%
202999.2675169 3
6.0%
203039.327074879 1
 
2.0%
ValueCountFrequency (%)
204357.382835077 1
 
2.0%
204345.826664906 4
8.0%
204303.405 1
 
2.0%
204286.797406657 1
 
2.0%
204247.213401781 1
 
2.0%
204238.33386129 1
 
2.0%
204167.266663896 1
 
2.0%
204135.386163501 1
 
2.0%
204083.769271308 1
 
2.0%
204031.968329866 1
 
2.0%

좌표정보(Y)
Real number (ℝ)

Distinct43
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean461238.68
Minimum443578.57
Maximum464731.76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-05-11T15:18:21.379565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum443578.57
5-th percentile459713.48
Q1460729.19
median461154.63
Q3462248.06
95-th percentile463913.32
Maximum464731.76
Range21153.195
Interquartile range (IQR)1518.8762

Descriptive statistics

Standard deviation2815.7084
Coefficient of variation (CV)0.0061046667
Kurtosis32.67244
Mean461238.68
Median Absolute Deviation (MAD)631.60385
Skewness-5.1093339
Sum23061934
Variance7928213.8
MonotonicityNot monotonic
2024-05-11T15:18:21.621959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
461119.957690091 4
 
8.0%
460616.701327584 3
 
6.0%
462495.417040876 2
 
4.0%
462242.989953514 2
 
4.0%
460471.409654471 1
 
2.0%
461149.87315452 1
 
2.0%
461072.765300103 1
 
2.0%
462849.020752258 1
 
2.0%
462249.755144886 1
 
2.0%
459897.751470537 1
 
2.0%
Other values (33) 33
66.0%
ValueCountFrequency (%)
443578.565673887 1
 
2.0%
459531.093092252 1
 
2.0%
459562.721417759 1
 
2.0%
459897.751470537 1
 
2.0%
460224.61680331 1
 
2.0%
460334.485040686 1
 
2.0%
460471.409654471 1
 
2.0%
460522.031748747 1
 
2.0%
460524.018199419 1
 
2.0%
460616.701327584 3
6.0%
ValueCountFrequency (%)
464731.761130542 1
2.0%
464280.157316989 1
2.0%
463930.060025748 1
2.0%
463892.861101303 1
2.0%
463763.240794805 1
2.0%
463669.613174128 1
2.0%
462849.020752258 1
2.0%
462599.820725101 1
2.0%
462535.544219321 1
2.0%
462495.417040876 2
4.0%

문화체육업종명
Categorical

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
29 
국내외여행업
21 

Length

Max length6
Median length4
Mean length4.84
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
58.0%
국내외여행업 21
42.0%

Length

2024-05-11T15:18:21.868945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:18:22.043626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
58.0%
국내외여행업 21
42.0%

문화사업자구분명
Categorical

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
39 
관광사업
11 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 39
78.0%
관광사업 11
 
22.0%

Length

2024-05-11T15:18:22.233541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:18:22.834301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
78.0%
관광사업 11
 
22.0%

지역구분명
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing47
Missing (%)94.0%
Memory size532.0 B
2024-05-11T15:18:23.042964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.6666667
Min length4

Characters and Unicode

Total characters14
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st row일반주거지역
2nd row상업지역
3rd row주거지역
ValueCountFrequency (%)
일반주거지역 1
33.3%
상업지역 1
33.3%
주거지역 1
33.3%
2024-05-11T15:18:23.573368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 3
21.4%
역 3
21.4%
주 2
14.3%
거 2
14.3%
일 1
 
7.1%
반 1
 
7.1%
상 1
 
7.1%
업 1
 
7.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 3
21.4%
역 3
21.4%
주 2
14.3%
거 2
14.3%
일 1
 
7.1%
반 1
 
7.1%
상 1
 
7.1%
업 1
 
7.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 3
21.4%
역 3
21.4%
주 2
14.3%
거 2
14.3%
일 1
 
7.1%
반 1
 
7.1%
상 1
 
7.1%
업 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 3
21.4%
역 3
21.4%
주 2
14.3%
거 2
14.3%
일 1
 
7.1%
반 1
 
7.1%
상 1
 
7.1%
업 1
 
7.1%

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
49 
20
 
1

Length

Max length4
Median length4
Mean length3.96
Min length2

Unique

Unique1 ?
Unique (%)2.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row20

Common Values

ValueCountFrequency (%)
<NA> 49
98.0%
20 1
 
2.0%

Length

2024-05-11T15:18:23.836026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:18:24.099475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
98.0%
20 1
 
2.0%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing49
Missing (%)98.0%
Memory size532.0 B
2024-05-11T15:18:24.232771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row기타
ValueCountFrequency (%)
기타 1
100.0%
2024-05-11T15:18:24.630046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

보험기관명
Categorical

Distinct7
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
36 
서울보증보험
5 
한국관광협회중앙회 여행공제회
 
3
한국관광협회중앙회 여행공제회(서울특별시관광협회)
 
2
서울보증보험주식회사
 
2
Other values (2)
 
2

Length

Max length26
Median length4
Mean length6.06
Min length4

Unique

Unique2 ?
Unique (%)4.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row한국관광협회중앙회 여행공제회(서울특별시관광협회)

Common Values

ValueCountFrequency (%)
<NA> 36
72.0%
서울보증보험 5
 
10.0%
한국관광협회중앙회 여행공제회 3
 
6.0%
한국관광협회중앙회 여행공제회(서울특별시관광협회) 2
 
4.0%
서울보증보험주식회사 2
 
4.0%
한국관광협회 1
 
2.0%
서울관광협회 1
 
2.0%

Length

2024-05-11T15:18:24.875056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:18:25.181097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
65.5%
서울보증보험 5
 
9.1%
한국관광협회중앙회 5
 
9.1%
여행공제회 3
 
5.5%
여행공제회(서울특별시관광협회 2
 
3.6%
서울보증보험주식회사 2
 
3.6%
한국관광협회 1
 
1.8%
서울관광협회 1
 
1.8%

건물용도명
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing48
Missing (%)96.0%
Memory size532.0 B
2024-05-11T15:18:25.428325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4.5
Mean length4.5
Min length3

Characters and Unicode

Total characters9
Distinct characters9
Distinct categories1 ?
Distinct scripts1 ?
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 row근린생활시설
2nd row사무실
ValueCountFrequency (%)
근린생활시설 1
50.0%
사무실 1
50.0%
2024-05-11T15:18:25.874693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
근 1
11.1%
린 1
11.1%
생 1
11.1%
활 1
11.1%
시 1
11.1%
설 1
11.1%
사 1
11.1%
무 1
11.1%
실 1
11.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
근 1
11.1%
린 1
11.1%
생 1
11.1%
활 1
11.1%
시 1
11.1%
설 1
11.1%
사 1
11.1%
무 1
11.1%
실 1
11.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
근 1
11.1%
린 1
11.1%
생 1
11.1%
활 1
11.1%
시 1
11.1%
설 1
11.1%
사 1
11.1%
무 1
11.1%
실 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
근 1
11.1%
린 1
11.1%
생 1
11.1%
활 1
11.1%
시 1
11.1%
설 1
11.1%
사 1
11.1%
무 1
11.1%
실 1
11.1%

지상층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
48 
15
 
1
2
 
1

Length

Max length4
Median length4
Mean length3.9
Min length1

Unique

Unique2 ?
Unique (%)4.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row15

Common Values

ValueCountFrequency (%)
<NA> 48
96.0%
15 1
 
2.0%
2 1
 
2.0%

Length

2024-05-11T15:18:26.094246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:18:26.296997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 48
96.0%
15 1
 
2.0%
2 1
 
2.0%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
49 
5
 
1

Length

Max length4
Median length4
Mean length3.94
Min length1

Unique

Unique1 ?
Unique (%)2.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row5

Common Values

ValueCountFrequency (%)
<NA> 49
98.0%
5 1
 
2.0%

Length

2024-05-11T15:18:26.503229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:18:26.685124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
98.0%
5 1
 
2.0%

객실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

건축연면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

영문상호명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

영문상호주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

선박총톤수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

선박척수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

무대면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

좌석수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

회의실별동시수용인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

시설면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

놀이시설수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

자본금
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)30.0%
Missing30
Missing (%)60.0%
Infinite0
Infinite (%)0.0%
Mean1.0538346 × 108
Minimum60000000
Maximum1.5 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-05-11T15:18:26.858799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60000000
5-th percentile60000000
Q160000000
median1 × 108
Q31.4720184 × 108
95-th percentile1.5 × 108
Maximum1.5 × 108
Range90000000
Interquartile range (IQR)87201844

Descriptive statistics

Standard deviation36797569
Coefficient of variation (CV)0.34917785
Kurtosis-1.5483676
Mean1.0538346 × 108
Median Absolute Deviation (MAD)40000000
Skewness0.015044146
Sum2.1076691 × 109
Variance1.3540611 × 1015
MonotonicityNot monotonic
2024-05-11T15:18:27.081455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
100000000 6
 
12.0%
60000000 6
 
12.0%
150000000 5
 
10.0%
145000000 1
 
2.0%
106400000 1
 
2.0%
146269126 1
 
2.0%
(Missing) 30
60.0%
ValueCountFrequency (%)
60000000 6
12.0%
100000000 6
12.0%
106400000 1
 
2.0%
145000000 1
 
2.0%
146269126 1
 
2.0%
150000000 5
10.0%
ValueCountFrequency (%)
150000000 5
10.0%
146269126 1
 
2.0%
145000000 1
 
2.0%
106400000 1
 
2.0%
100000000 6
12.0%
60000000 6
12.0%

보험시작일자
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)100.0%
Missing35
Missing (%)70.0%
Infinite0
Infinite (%)0.0%
Mean20129264
Minimum20030303
Maximum20200430
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-05-11T15:18:27.305515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20030303
5-th percentile20058736
Q120090268
median20130522
Q320180819
95-th percentile20200203
Maximum20200430
Range170127
Interquartile range (IQR)90551

Descriptive statistics

Standard deviation56160.875
Coefficient of variation (CV)0.0027900113
Kurtosis-1.4045107
Mean20129264
Median Absolute Deviation (MAD)40410
Skewness-0.11975331
Sum3.0193897 × 108
Variance3.1540439 × 109
MonotonicityNot monotonic
2024-05-11T15:18:27.560573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
20030303 1
 
2.0%
20070921 1
 
2.0%
20071206 1
 
2.0%
20170113 1
 
2.0%
20090112 1
 
2.0%
20090424 1
 
2.0%
20200430 1
 
2.0%
20090925 1
 
2.0%
20090529 1
 
2.0%
20170411 1
 
2.0%
Other values (5) 5
 
10.0%
(Missing) 35
70.0%
ValueCountFrequency (%)
20030303 1
2.0%
20070921 1
2.0%
20071206 1
2.0%
20090112 1
2.0%
20090424 1
2.0%
20090529 1
2.0%
20090925 1
2.0%
20130522 1
2.0%
20150508 1
2.0%
20170113 1
2.0%
ValueCountFrequency (%)
20200430 1
2.0%
20200106 1
2.0%
20191230 1
2.0%
20191227 1
2.0%
20170411 1
2.0%
20170113 1
2.0%
20150508 1
2.0%
20130522 1
2.0%
20090925 1
2.0%
20090529 1
2.0%

보험종료일자
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)100.0%
Missing35
Missing (%)70.0%
Infinite0
Infinite (%)0.0%
Mean20139264
Minimum20040303
Maximum20210429
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-05-11T15:18:27.793099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040303
5-th percentile20068736
Q120100268
median20140522
Q320190818
95-th percentile20210202
Maximum20210429
Range170126
Interquartile range (IQR)90550.5

Descriptive statistics

Standard deviation56160.751
Coefficient of variation (CV)0.0027886199
Kurtosis-1.40454
Mean20139264
Median Absolute Deviation (MAD)40410
Skewness-0.11974498
Sum3.0208896 × 108
Variance3.1540299 × 109
MonotonicityNot monotonic
2024-05-11T15:18:28.007385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
20040303 1
 
2.0%
20080921 1
 
2.0%
20081206 1
 
2.0%
20180113 1
 
2.0%
20100112 1
 
2.0%
20100423 1
 
2.0%
20210429 1
 
2.0%
20100921 1
 
2.0%
20100528 1
 
2.0%
20180410 1
 
2.0%
Other values (5) 5
 
10.0%
(Missing) 35
70.0%
ValueCountFrequency (%)
20040303 1
2.0%
20080921 1
2.0%
20081206 1
2.0%
20100112 1
2.0%
20100423 1
2.0%
20100528 1
2.0%
20100921 1
2.0%
20140522 1
2.0%
20160507 1
2.0%
20180113 1
2.0%
ValueCountFrequency (%)
20210429 1
2.0%
20210105 1
2.0%
20201229 1
2.0%
20201226 1
2.0%
20180410 1
2.0%
20180113 1
2.0%
20160507 1
2.0%
20140522 1
2.0%
20100921 1
2.0%
20100528 1
2.0%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

시설규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03090000CDFI22600220010000012001-05-03<NA>1영업/정상13영업중<NA><NA><NA><NA>996-3177<NA>132-898서울특별시 도봉구 창동 5-1 킹프라자 903호서울특별시 도봉구 마들로11가길 16, 903호 (창동,킹프라자)<NA>(주)신신항공2023-07-21 16:42:47U2022-12-06 22:03:00.0<NA>204247.213402461131.830917<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>
13090000CDFI226002200200000220020916<NA>3폐업3폐업20030513<NA><NA><NA><NA><NA>132851서울특별시 도봉구 방학동 694-23번지 2층서울특별시 도봉구 방학로6길 29 (방학동,2층)<NA>(주)지엠에이치(클럽위크엔드)2003-05-14 17:39:44I2018-08-31 23:59:59.0<NA>203169.235462413.55국내외여행업관광사업<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>
23090000CDFI226002200300000120031108<NA>3폐업3폐업20061207<NA><NA><NA><NA><NA>132864서울특별시 도봉구 쌍문동 96-4번지 원형빌딩 503호서울특별시 도봉구 도봉로 461 (쌍문동,원형빌딩 503호)<NA>(주)그림같은여행사2006-12-07 18:18:26I2018-08-31 23:59:59.0<NA>202871.080505460522.031749국내외여행업관광사업<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>1500000002003030320040303<NA><NA>
33090000CDFI226002200600000220060517<NA>3폐업3폐업20080123<NA><NA><NA>3491-4646<NA>132856서울특별시 도봉구 방학동 736번지서울특별시 도봉구 방학로 210 (방학동)<NA>신동아2008-01-24 09:39:19I2018-08-31 23:59:59.0<NA>202474.809555462204.722701국내외여행업관광사업일반주거지역<NA><NA><NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>145000000<NA><NA><NA><NA>
43090000CDFI226002200600000320060601<NA>3폐업3폐업20080930<NA><NA><NA>999-7828<NA>132924서울특별시 도봉구 창동 659-29번지 삼성쉐르빌 524호서울특별시 도봉구 도봉로 476 (창동,삼성쉐르빌 524호)<NA>하나사랑투어2008-10-01 09:23:06I2018-08-31 23:59:59.0<NA>202999.267517460616.701328국내외여행업관광사업<NA>20<NA><NA>한국관광협회중앙회 여행공제회(서울특별시관광협회)<NA>155<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1064000002007092120080921<NA><NA>
53090000CDFI226002200700000120070516<NA>3폐업3폐업20071226<NA><NA><NA>905-2897<NA>132728서울특별시 도봉구 창동 338번지 신원리베르텔 1405호서울특별시 도봉구 노해로 341, 1405호 (창동,신원리베르텔)<NA>해피 플러스 투어2007-12-26 17:16:34I2018-08-31 23:59:59.0<NA>203984.137173461008.91401국내외여행업관광사업상업지역<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>100000000<NA><NA><NA><NA>
63090000CDFI226002200700000420071127<NA>3폐업3폐업20090908<NA><NA><NA>02-936-0995<NA><NA>서울특별시 영등포구 대림동 700-3번지서울특별시 영등포구 대림로 148 (대림동)<NA>(주)풍경이 있는 여행사2009-09-08 16:07:53I2018-08-31 23:59:59.0<NA>191144.678297443578.565674국내외여행업관광사업<NA><NA><NA><NA>한국관광협회중앙회 여행공제회(서울특별시관광협회)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1000000002007120620081206<NA><NA>
73090000CDFI226002200700000520071129<NA>1영업/정상13영업중<NA><NA><NA><NA>951-7880<NA>132893서울특별시 도봉구 쌍문동 669번지 서화빌딩 3층서울특별시 도봉구 해등로17길 26 (쌍문동,서화빌딩 3층)<NA>(주)레포츠 캠프2019-06-19 14:52:28U2019-06-21 02:40:00.0<NA>203281.19539461506.026026국내외여행업관광사업<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>1500000002017011320180113<NA><NA>
83090000CDFI226002200700000720071126201208064취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>936-0995<NA>132866서울특별시 도봉구 쌍문동 88-115번지 302호서울특별시 도봉구 도봉로 499 (쌍문동,302호)<NA>(주)풍경이 있는 여행사2014-10-02 10:21:04I2018-08-31 23:59:59.0<NA>203044.80305460873.221248국내외여행업<NA><NA><NA><NA><NA>한국관광협회<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1000000002009011220100112<NA><NA>
93090000CDFI226002200800000120080421<NA>3폐업3폐업20110715<NA><NA><NA>02-992-2114<NA><NA>서울특별시 도봉구 방학동 668-32번지 동현빌딩 4층서울특별시 도봉구 방학로 174 (방학동,동현빌딩 4층)<NA>(주)엘렉토2011-07-18 12:46:05I2018-08-31 23:59:59.0<NA>202826.137551462242.989954국내외여행업관광사업<NA><NA><NA><NA>한국관광협회중앙회 여행공제회<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1500000002009042420100423<NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
403090000CDFI22600220210000022014-01-03<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6959-3708<NA><NA>서울특별시 도봉구 도봉동 629-6 한밭법조타워 지하109호서울특별시 도봉구 마들로 760, 한밭법조타워 지하109호 (도봉동)1323(주)해동투어2024-02-05 10:53:10U2023-12-02 00:07:00.0<NA>204286.797407463930.060026<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>
413090000CDFI226002202100000320170306<NA>5제외/삭제/전출15전출20221006<NA><NA><NA>027369666<NA><NA>서울특별시 도봉구 창동 557-97서울특별시 도봉구 덕릉로 232, 찬희빌딩 5층 (창동)1473(주)한누비투어2022-10-06 15:43:20U2021-10-31 00:08:00.0<NA>203296.89955459562.721418<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>
423090000CDFI22600220220000012017-03-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 창동 659-29 삼성쉐르빌퍼스티 422호서울특별시 도봉구 도봉로 476, 삼성쉐르빌퍼스티 422호 (창동)1454주식회사 짱투어2023-09-20 15:09:57U2022-12-08 22:03:00.0<NA>202999.267517460616.701328<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>
433090000CDFI22600220220000022022-03-07<NA>1영업/정상13영업중<NA><NA><NA><NA>1577-1073<NA><NA>서울특별시 도봉구 창동 805 동아그린아파트 상가동 106호서울특별시 도봉구 노해로63다길 24, 동아그린아파트 상가동 1층 106호 (창동)1399세양(世洋)여행사2023-11-24 15:46:46U2022-10-31 22:06:00.0<NA>204031.96833461333.597354<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>
443090000CDFI22600220220000032022-08-17<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 방학동 668-32서울특별시 도봉구 방학로 174, 5층 비-50호 (방학동)1357(주)투어다이렉트2023-09-20 10:36:15U2022-12-08 22:03:00.0<NA>202826.137551462242.989954<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>
453090000CDFI22600220230000012023-09-25<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 창동 812 현대타운아파트서울특별시 도봉구 도봉로114길 22-8, 101동 1층 173호 (창동, 현대타운아파트)1455마이재팬 홋카이도2023-11-24 15:48:47U2022-10-31 22:06:00.0<NA>203039.327075460524.018199<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>
463090000CDFI22600220230000022023-12-19<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3493-9038<NA><NA>서울특별시 도봉구 방학동 707-7 홈플러스데스코㈜방학점서울특별시 도봉구 도봉로 678, 홈플러스데스코㈜방학점 지하1층 (방학동)1334라호투어(RAHO TOUR)2023-12-22 17:55:58U2022-11-01 22:04:00.0<NA>203790.013569462495.417041<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>
473090000CDFI22600220240000012020-09-04<NA>1영업/정상13영업중<NA><NA><NA><NA>1800-8078<NA><NA>서울특별시 도봉구 창동 1-8 창동 아우르네 402호서울특별시 도봉구 마들로13길 84, 창동 아우르네 4층 402호 (창동)1411(주)교육여행연구소2024-02-15 17:26:58U2023-12-01 23:07:00.0<NA>204167.266664461439.392578<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>
483090000CDFI22600220240000022024-03-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 창동 9서울특별시 도봉구 노해로67길 2, 한국빌딩 지하2층 26호 (창동)1414닥골2024-03-19 16:57:55I2023-12-02 22:01:00.0<NA>204345.826665461119.95769<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>
493090000CDFI22600220240000032016-02-17<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6436-3690<NA><NA>서울특별시 도봉구 방학동 683-33서울특별시 도봉구 방학로2길 50, 1층 (방학동)1340UNI 투어2024-04-08 09:09:03U2023-12-03 23:00:00.0<NA>203549.640253462535.544219<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>