Overview

Dataset statistics

Number of variables60
Number of observations39
Missing cells1269
Missing cells (%)54.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory20.0 KiB
Average record size in memory524.4 B

Variable types

Categorical13
Text6
DateTime4
Unsupported27
Numeric10

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
Author중랑구
URLhttps://data.seoul.go.kr/dataList/OA-17558/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 39 (100.0%) missing valuesMissing
폐업일자 has 11 (28.2%) missing valuesMissing
휴업시작일자 has 39 (100.0%) missing valuesMissing
휴업종료일자 has 39 (100.0%) missing valuesMissing
재개업일자 has 39 (100.0%) missing valuesMissing
전화번호 has 15 (38.5%) missing valuesMissing
소재지면적 has 39 (100.0%) missing valuesMissing
소재지우편번호 has 17 (43.6%) missing valuesMissing
도로명주소 has 8 (20.5%) missing valuesMissing
도로명우편번호 has 8 (20.5%) missing valuesMissing
업태구분명 has 39 (100.0%) missing valuesMissing
총층수 has 23 (59.0%) missing valuesMissing
제작취급품목내용 has 39 (100.0%) missing valuesMissing
지상층수 has 22 (56.4%) missing valuesMissing
객실수 has 39 (100.0%) missing valuesMissing
건축연면적 has 39 (100.0%) missing valuesMissing
영문상호명 has 39 (100.0%) missing valuesMissing
영문상호주소 has 39 (100.0%) missing valuesMissing
선박총톤수 has 39 (100.0%) missing valuesMissing
선박척수 has 39 (100.0%) missing valuesMissing
선박제원 has 39 (100.0%) missing valuesMissing
무대면적 has 39 (100.0%) missing valuesMissing
좌석수 has 39 (100.0%) missing valuesMissing
기념품종류 has 39 (100.0%) missing valuesMissing
회의실별동시수용인원 has 39 (100.0%) missing valuesMissing
시설면적 has 28 (71.8%) missing valuesMissing
놀이기구수내역 has 39 (100.0%) missing valuesMissing
놀이시설수 has 39 (100.0%) missing valuesMissing
방송시설유무 has 39 (100.0%) missing valuesMissing
발전시설유무 has 39 (100.0%) missing valuesMissing
의무실유무 has 39 (100.0%) missing valuesMissing
안내소유무 has 39 (100.0%) missing valuesMissing
기획여행보험시작일자 has 39 (100.0%) missing valuesMissing
기획여행보험종료일자 has 39 (100.0%) missing valuesMissing
자본금 has 18 (46.2%) missing valuesMissing
보험시작일자 has 19 (48.7%) missing valuesMissing
보험종료일자 has 19 (48.7%) missing valuesMissing
부대시설내역 has 39 (100.0%) missing valuesMissing
시설규모 has 28 (71.8%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
지번주소 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
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
시설면적 has 1 (2.6%) zerosZeros
시설규모 has 1 (2.6%) zerosZeros

Reproduction

Analysis started2024-05-18 03:26:39.720807
Analysis finished2024-05-18 03:26:41.145571
Duration1.42 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size444.0 B
3060000
39 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3060000
2nd row3060000
3rd row3060000
4th row3060000
5th row3060000

Common Values

ValueCountFrequency (%)
3060000 39
100.0%

Length

2024-05-18T12:26:41.329558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T12:26:41.642249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3060000 39
100.0%

관리번호
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
2024-05-18T12:26:42.159526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters780
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

Unique39 ?
Unique (%)100.0%

Sample

1st rowCDFI2260011990000001
2nd rowCDFI2260011999000001
3rd rowCDFI2260012001000001
4th rowCDFI2260012001000003
5th rowCDFI2260012002000001
ValueCountFrequency (%)
cdfi2260011990000001 1
 
2.6%
cdfi2260012013000001 1
 
2.6%
cdfi2260012013000003 1
 
2.6%
cdfi2260012015000001 1
 
2.6%
cdfi2260012015000002 1
 
2.6%
cdfi2260012016000002 1
 
2.6%
cdfi2260012016000003 1
 
2.6%
cdfi2260012016000004 1
 
2.6%
cdfi2260012017000001 1
 
2.6%
cdfi2260012013000002 1
 
2.6%
Other values (29) 29
74.4%
2024-05-18T12:26:43.168181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 327
41.9%
2 137
17.6%
1 79
 
10.1%
6 43
 
5.5%
C 39
 
5.0%
D 39
 
5.0%
F 39
 
5.0%
I 39
 
5.0%
3 11
 
1.4%
9 10
 
1.3%
Other values (4) 17
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 624
80.0%
Uppercase Letter 156
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 327
52.4%
2 137
22.0%
1 79
 
12.7%
6 43
 
6.9%
3 11
 
1.8%
9 10
 
1.6%
7 6
 
1.0%
4 5
 
0.8%
5 4
 
0.6%
8 2
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
C 39
25.0%
D 39
25.0%
F 39
25.0%
I 39
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 624
80.0%
Latin 156
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 327
52.4%
2 137
22.0%
1 79
 
12.7%
6 43
 
6.9%
3 11
 
1.8%
9 10
 
1.6%
7 6
 
1.0%
4 5
 
0.8%
5 4
 
0.6%
8 2
 
0.3%
Latin
ValueCountFrequency (%)
C 39
25.0%
D 39
25.0%
F 39
25.0%
I 39
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 780
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 327
41.9%
2 137
17.6%
1 79
 
10.1%
6 43
 
5.5%
C 39
 
5.0%
D 39
 
5.0%
F 39
 
5.0%
I 39
 
5.0%
3 11
 
1.4%
9 10
 
1.3%
Other values (4) 17
 
2.2%

인허가일자
Date

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
Minimum1990-05-07 00:00:00
Maximum2024-01-16 00:00:00
2024-05-18T12:26:43.742008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T12:26:44.226008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

영업상태코드
Categorical

Distinct4
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size444.0 B
3
27 
1
10 
4
 
1
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)5.1%

Sample

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

Common Values

ValueCountFrequency (%)
3 27
69.2%
1 10
 
25.6%
4 1
 
2.6%
5 1
 
2.6%

Length

2024-05-18T12:26:44.682409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T12:26:44.985918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 27
69.2%
1 10
 
25.6%
4 1
 
2.6%
5 1
 
2.6%

영업상태명
Categorical

Distinct4
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size444.0 B
폐업
27 
영업/정상
10 
취소/말소/만료/정지/중지
 
1
제외/삭제/전출
 
1

Length

Max length14
Median length2
Mean length3.2307692
Min length2

Unique

Unique2 ?
Unique (%)5.1%

Sample

1st row폐업
2nd row취소/말소/만료/정지/중지
3rd row폐업
4th row폐업
5th row폐업

Common Values

ValueCountFrequency (%)
폐업 27
69.2%
영업/정상 10
 
25.6%
취소/말소/만료/정지/중지 1
 
2.6%
제외/삭제/전출 1
 
2.6%

Length

2024-05-18T12:26:45.343412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T12:26:45.666945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 27
69.2%
영업/정상 10
 
25.6%
취소/말소/만료/정지/중지 1
 
2.6%
제외/삭제/전출 1
 
2.6%

상세영업상태코드
Categorical

Distinct4
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size444.0 B
3
27 
13
10 
30
 
1
15
 
1

Length

Max length2
Median length1
Mean length1.3076923
Min length1

Unique

Unique2 ?
Unique (%)5.1%

Sample

1st row3
2nd row30
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 27
69.2%
13 10
 
25.6%
30 1
 
2.6%
15 1
 
2.6%

Length

2024-05-18T12:26:46.028794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T12:26:46.424631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 27
69.2%
13 10
 
25.6%
30 1
 
2.6%
15 1
 
2.6%

상세영업상태명
Categorical

Distinct4
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size444.0 B
폐업
27 
영업중
10 
허가취소
 
1
전출
 
1

Length

Max length4
Median length2
Mean length2.3076923
Min length2

Unique

Unique2 ?
Unique (%)5.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 27
69.2%
영업중 10
 
25.6%
허가취소 1
 
2.6%
전출 1
 
2.6%

Length

2024-05-18T12:26:46.916533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T12:26:47.556931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 27
69.2%
영업중 10
 
25.6%
허가취소 1
 
2.6%
전출 1
 
2.6%

폐업일자
Date

MISSING 

Distinct27
Distinct (%)96.4%
Missing11
Missing (%)28.2%
Memory size444.0 B
Minimum2002-06-18 00:00:00
Maximum2023-12-31 00:00:00
2024-05-18T12:26:47.913985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T12:26:48.407198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

전화번호
Text

MISSING 

Distinct24
Distinct (%)100.0%
Missing15
Missing (%)38.5%
Memory size444.0 B
2024-05-18T12:26:48.974194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.7083333
Min length8

Characters and Unicode

Total characters233
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

Unique24 ?
Unique (%)100.0%

Sample

1st row438-6844
2nd row435-3800
3rd row776-6620
4th row432-2111
5th row432-7870
ValueCountFrequency (%)
438-6844 1
 
4.2%
435-3800 1
 
4.2%
02-1566-1672 1
 
4.2%
02-773-1463 1
 
4.2%
070-4904-2785 1
 
4.2%
02-1577-8138 1
 
4.2%
02-3421-1373 1
 
4.2%
0234220095 1
 
4.2%
024345033 1
 
4.2%
882-4444 1
 
4.2%
Other values (14) 14
58.3%
2024-05-18T12:26:50.228763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 34
14.6%
- 32
13.7%
0 32
13.7%
3 26
11.2%
4 23
9.9%
7 21
9.0%
1 18
7.7%
8 17
7.3%
9 12
 
5.2%
6 9
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 201
86.3%
Dash Punctuation 32
 
13.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 34
16.9%
0 32
15.9%
3 26
12.9%
4 23
11.4%
7 21
10.4%
1 18
9.0%
8 17
8.5%
9 12
 
6.0%
6 9
 
4.5%
5 9
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 233
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 34
14.6%
- 32
13.7%
0 32
13.7%
3 26
11.2%
4 23
9.9%
7 21
9.0%
1 18
7.7%
8 17
7.3%
9 12
 
5.2%
6 9
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 233
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 34
14.6%
- 32
13.7%
0 32
13.7%
3 26
11.2%
4 23
9.9%
7 21
9.0%
1 18
7.7%
8 17
7.3%
9 12
 
5.2%
6 9
 
3.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

소재지우편번호
Text

MISSING 

Distinct16
Distinct (%)72.7%
Missing17
Missing (%)43.6%
Memory size444.0 B
2024-05-18T12:26:50.703872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0454545
Min length6

Characters and Unicode

Total characters133
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

Unique12 ?
Unique (%)54.5%

Sample

1st row131810
2nd row131819
3rd row131810
4th row131848
5th row131815
ValueCountFrequency (%)
131848 3
13.6%
131810 3
13.6%
131819 2
 
9.1%
131881 2
 
9.1%
131859 1
 
4.5%
131851 1
 
4.5%
131815 1
 
4.5%
131879 1
 
4.5%
131806 1
 
4.5%
131857 1
 
4.5%
Other values (6) 6
27.3%
2024-05-18T12:26:51.533452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 56
42.1%
8 28
21.1%
3 23
17.3%
0 6
 
4.5%
9 4
 
3.0%
5 4
 
3.0%
6 4
 
3.0%
4 3
 
2.3%
7 3
 
2.3%
2 1
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 132
99.2%
Dash Punctuation 1
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 56
42.4%
8 28
21.2%
3 23
17.4%
0 6
 
4.5%
9 4
 
3.0%
5 4
 
3.0%
6 4
 
3.0%
4 3
 
2.3%
7 3
 
2.3%
2 1
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 133
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 56
42.1%
8 28
21.1%
3 23
17.3%
0 6
 
4.5%
9 4
 
3.0%
5 4
 
3.0%
6 4
 
3.0%
4 3
 
2.3%
7 3
 
2.3%
2 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 133
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 56
42.1%
8 28
21.1%
3 23
17.3%
0 6
 
4.5%
9 4
 
3.0%
5 4
 
3.0%
6 4
 
3.0%
4 3
 
2.3%
7 3
 
2.3%
2 1
 
0.8%

지번주소
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
2024-05-18T12:26:52.147340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length30
Mean length24.820513
Min length18

Characters and Unicode

Total characters968
Distinct characters73
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

Unique39 ?
Unique (%)100.0%

Sample

1st row서울특별시 중랑구 망우동 564-6
2nd row서울특별시 중랑구 면목동 132-1번지
3rd row서울특별시 중랑구 망우동 563-9번지
4th row서울특별시 중랑구 묵동 172-15번지
5th row서울특별시 중랑구 면목동 68-1번지
ValueCountFrequency (%)
서울특별시 39
21.0%
중랑구 39
21.0%
상봉동 9
 
4.8%
묵동 8
 
4.3%
면목동 7
 
3.8%
중화동 6
 
3.2%
망우동 5
 
2.7%
신내동 4
 
2.2%
성심빌딩 2
 
1.1%
301-11번지 2
 
1.1%
Other values (61) 65
34.9%
2024-05-18T12:26:53.513163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
171
17.7%
1 54
 
5.6%
중 47
 
4.9%
동 42
 
4.3%
랑 41
 
4.2%
서 39
 
4.0%
특 39
 
4.0%
별 39
 
4.0%
시 39
 
4.0%
구 39
 
4.0%
Other values (63) 418
43.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 565
58.4%
Decimal Number 199
 
20.6%
Space Separator 171
 
17.7%
Dash Punctuation 33
 
3.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 47
 
8.3%
동 42
 
7.4%
랑 41
 
7.3%
서 39
 
6.9%
특 39
 
6.9%
별 39
 
6.9%
시 39
 
6.9%
구 39
 
6.9%
울 39
 
6.9%
지 25
 
4.4%
Other values (51) 176
31.2%
Decimal Number
ValueCountFrequency (%)
1 54
27.1%
2 25
12.6%
3 23
11.6%
4 21
 
10.6%
6 21
 
10.6%
0 18
 
9.0%
5 10
 
5.0%
8 9
 
4.5%
9 9
 
4.5%
7 9
 
4.5%
Space Separator
ValueCountFrequency (%)
171
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 565
58.4%
Common 403
41.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 47
 
8.3%
동 42
 
7.4%
랑 41
 
7.3%
서 39
 
6.9%
특 39
 
6.9%
별 39
 
6.9%
시 39
 
6.9%
구 39
 
6.9%
울 39
 
6.9%
지 25
 
4.4%
Other values (51) 176
31.2%
Common
ValueCountFrequency (%)
171
42.4%
1 54
 
13.4%
- 33
 
8.2%
2 25
 
6.2%
3 23
 
5.7%
4 21
 
5.2%
6 21
 
5.2%
0 18
 
4.5%
5 10
 
2.5%
8 9
 
2.2%
Other values (2) 18
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 565
58.4%
ASCII 403
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
171
42.4%
1 54
 
13.4%
- 33
 
8.2%
2 25
 
6.2%
3 23
 
5.7%
4 21
 
5.2%
6 21
 
5.2%
0 18
 
4.5%
5 10
 
2.5%
8 9
 
2.2%
Other values (2) 18
 
4.5%
Hangul
ValueCountFrequency (%)
중 47
 
8.3%
동 42
 
7.4%
랑 41
 
7.3%
서 39
 
6.9%
특 39
 
6.9%
별 39
 
6.9%
시 39
 
6.9%
구 39
 
6.9%
울 39
 
6.9%
지 25
 
4.4%
Other values (51) 176
31.2%

도로명주소
Text

MISSING 

Distinct31
Distinct (%)100.0%
Missing8
Missing (%)20.5%
Memory size444.0 B
2024-05-18T12:26:54.358455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length34
Mean length29.483871
Min length23

Characters and Unicode

Total characters914
Distinct characters90
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

Unique31 ?
Unique (%)100.0%

Sample

1st row서울특별시 중랑구 망우로 368 (망우동)
2nd row서울특별시 중랑구 봉우재로 114 (면목동)
3rd row서울특별시 중랑구 면목천로23길 45, 2층 (면목동)
4th row서울특별시 중랑구 중랑천로 77 (상봉동)
5th row서울특별시 중랑구 동일로 823, 3층 (중화동, 논밭빌딩 )
ValueCountFrequency (%)
서울특별시 31
 
16.2%
중랑구 31
 
16.2%
묵동 7
 
3.7%
면목동 6
 
3.1%
상봉동 6
 
3.1%
중화동 6
 
3.1%
동일로 5
 
2.6%
망우동 3
 
1.6%
2층 3
 
1.6%
중랑역로 3
 
1.6%
Other values (74) 90
47.1%
2024-05-18T12:26:55.537381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
160
 
17.5%
중 45
 
4.9%
동 40
 
4.4%
랑 39
 
4.3%
서 31
 
3.4%
( 31
 
3.4%
특 31
 
3.4%
별 31
 
3.4%
시 31
 
3.4%
구 31
 
3.4%
Other values (80) 444
48.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 527
57.7%
Space Separator 160
 
17.5%
Decimal Number 133
 
14.6%
Open Punctuation 31
 
3.4%
Close Punctuation 31
 
3.4%
Other Punctuation 25
 
2.7%
Uppercase Letter 4
 
0.4%
Dash Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 45
 
8.5%
동 40
 
7.6%
랑 39
 
7.4%
서 31
 
5.9%
특 31
 
5.9%
별 31
 
5.9%
시 31
 
5.9%
구 31
 
5.9%
울 31
 
5.9%
로 30
 
5.7%
Other values (62) 187
35.5%
Decimal Number
ValueCountFrequency (%)
3 24
18.0%
1 22
16.5%
2 21
15.8%
4 12
9.0%
9 11
8.3%
7 11
8.3%
6 10
7.5%
0 9
 
6.8%
8 7
 
5.3%
5 6
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
F 2
50.0%
K 1
25.0%
C 1
25.0%
Space Separator
ValueCountFrequency (%)
160
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Other Punctuation
ValueCountFrequency (%)
, 25
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 527
57.7%
Common 383
41.9%
Latin 4
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 45
 
8.5%
동 40
 
7.6%
랑 39
 
7.4%
서 31
 
5.9%
특 31
 
5.9%
별 31
 
5.9%
시 31
 
5.9%
구 31
 
5.9%
울 31
 
5.9%
로 30
 
5.7%
Other values (62) 187
35.5%
Common
ValueCountFrequency (%)
160
41.8%
( 31
 
8.1%
) 31
 
8.1%
, 25
 
6.5%
3 24
 
6.3%
1 22
 
5.7%
2 21
 
5.5%
4 12
 
3.1%
9 11
 
2.9%
7 11
 
2.9%
Other values (5) 35
 
9.1%
Latin
ValueCountFrequency (%)
F 2
50.0%
K 1
25.0%
C 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 527
57.7%
ASCII 387
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
160
41.3%
( 31
 
8.0%
) 31
 
8.0%
, 25
 
6.5%
3 24
 
6.2%
1 22
 
5.7%
2 21
 
5.4%
4 12
 
3.1%
9 11
 
2.8%
7 11
 
2.8%
Other values (8) 39
 
10.1%
Hangul
ValueCountFrequency (%)
중 45
 
8.5%
동 40
 
7.6%
랑 39
 
7.4%
서 31
 
5.9%
특 31
 
5.9%
별 31
 
5.9%
시 31
 
5.9%
구 31
 
5.9%
울 31
 
5.9%
로 30
 
5.7%
Other values (62) 187
35.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)90.3%
Missing8
Missing (%)20.5%
Infinite0
Infinite (%)0.0%
Mean18838.129
Minimum2005
Maximum131861
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-05-18T12:26:55.918307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2005
5-th percentile2010.5
Q12038.5
median2110
Q32169.5
95-th percentile131833.5
Maximum131861
Range129856
Interquartile range (IQR)131

Descriptive statistics

Standard deviation44211.301
Coefficient of variation (CV)2.3469051
Kurtosis3.6480308
Mean18838.129
Median Absolute Deviation (MAD)72
Skewness2.3273281
Sum583982
Variance1.9546391 × 109
MonotonicityNot monotonic
2024-05-18T12:26:56.316145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
2103 2
 
5.1%
2101 2
 
5.1%
2148 2
 
5.1%
2010 1
 
2.6%
2054 1
 
2.6%
2139 1
 
2.6%
2062 1
 
2.6%
2043 1
 
2.6%
2121 1
 
2.6%
2157 1
 
2.6%
Other values (18) 18
46.2%
(Missing) 8
20.5%
ValueCountFrequency (%)
2005 1
2.6%
2010 1
2.6%
2011 1
2.6%
2014 1
2.6%
2018 1
2.6%
2019 1
2.6%
2024 1
2.6%
2034 1
2.6%
2043 1
2.6%
2054 1
2.6%
ValueCountFrequency (%)
131861 1
2.6%
131848 1
2.6%
131819 1
2.6%
131810 1
2.6%
2228 1
2.6%
2214 1
2.6%
2200 1
2.6%
2182 1
2.6%
2157 1
2.6%
2154 1
2.6%

사업장명
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
2024-05-18T12:26:56.748938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length8.2564103
Min length2

Characters and Unicode

Total characters322
Distinct characters119
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)100.0%

Sample

1st row(주)하나테마여행
2nd row우현항공여행사(국내여행업)
3rd row(주) 뉴하나 관광
4th row(주)미르하나
5th row(주)정우무역.여행
ValueCountFrequency (%)
주식회사 7
 
13.7%
주 3
 
5.9%
주)하나테마여행 1
 
2.0%
신신 1
 
2.0%
협동조합 1
 
2.0%
동주여행사 1
 
2.0%
두리올레여행사 1
 
2.0%
bk-디유라이프여행사 1
 
2.0%
투픽(t&p 1
 
2.0%
더불어 1
 
2.0%
Other values (33) 33
64.7%
2024-05-18T12:26:57.614728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 24
 
7.5%
사 19
 
5.9%
행 17
 
5.3%
( 16
 
5.0%
) 16
 
5.0%
여 16
 
5.0%
12
 
3.7%
투 9
 
2.8%
어 9
 
2.8%
이 9
 
2.8%
Other values (109) 175
54.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 271
84.2%
Open Punctuation 16
 
5.0%
Close Punctuation 16
 
5.0%
Space Separator 12
 
3.7%
Uppercase Letter 4
 
1.2%
Other Punctuation 2
 
0.6%
Dash Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 24
 
8.9%
사 19
 
7.0%
행 17
 
6.3%
여 16
 
5.9%
투 9
 
3.3%
어 9
 
3.3%
이 9
 
3.3%
회 7
 
2.6%
식 7
 
2.6%
나 6
 
2.2%
Other values (99) 148
54.6%
Uppercase Letter
ValueCountFrequency (%)
T 1
25.0%
K 1
25.0%
P 1
25.0%
B 1
25.0%
Other Punctuation
ValueCountFrequency (%)
& 1
50.0%
. 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 271
84.2%
Common 47
 
14.6%
Latin 4
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 24
 
8.9%
사 19
 
7.0%
행 17
 
6.3%
여 16
 
5.9%
투 9
 
3.3%
어 9
 
3.3%
이 9
 
3.3%
회 7
 
2.6%
식 7
 
2.6%
나 6
 
2.2%
Other values (99) 148
54.6%
Common
ValueCountFrequency (%)
( 16
34.0%
) 16
34.0%
12
25.5%
& 1
 
2.1%
- 1
 
2.1%
. 1
 
2.1%
Latin
ValueCountFrequency (%)
T 1
25.0%
K 1
25.0%
P 1
25.0%
B 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 271
84.2%
ASCII 51
 
15.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 24
 
8.9%
사 19
 
7.0%
행 17
 
6.3%
여 16
 
5.9%
투 9
 
3.3%
어 9
 
3.3%
이 9
 
3.3%
회 7
 
2.6%
식 7
 
2.6%
나 6
 
2.2%
Other values (99) 148
54.6%
ASCII
ValueCountFrequency (%)
( 16
31.4%
) 16
31.4%
12
23.5%
& 1
 
2.0%
T 1
 
2.0%
- 1
 
2.0%
K 1
 
2.0%
P 1
 
2.0%
B 1
 
2.0%
. 1
 
2.0%

최종수정일자
Date

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
Minimum2003-04-18 17:04:20
Maximum2024-03-21 09:55:55
2024-05-18T12:26:57.960007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T12:26:58.338811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)

데이터갱신구분
Categorical

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
I
21 
U
18 

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 (%)
I 21
53.8%
U 18
46.2%

Length

2024-05-18T12:26:58.778656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T12:26:59.088158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 21
53.8%
u 18
46.2%

데이터갱신일자
Date

Distinct19
Distinct (%)48.7%
Missing0
Missing (%)0.0%
Memory size444.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-02 23:03:00
2024-05-18T12:26:59.518666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T12:26:59.929812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

좌표정보(X)
Real number (ℝ)

Distinct37
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean207508.26
Minimum206315.62
Maximum209644.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-05-18T12:27:00.481358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum206315.62
5-th percentile206554.18
Q1206850.51
median207371.28
Q3208159.62
95-th percentile208599.72
Maximum209644.31
Range3328.687
Interquartile range (IQR)1309.1119

Descriptive statistics

Standard deviation777.02037
Coefficient of variation (CV)0.0037445274
Kurtosis-0.20261758
Mean207508.26
Median Absolute Deviation (MAD)590.31663
Skewness0.59298324
Sum8092822.2
Variance603760.65
MonotonicityNot monotonic
2024-05-18T12:27:00.873611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
207660.883688474 2
 
5.1%
206956.392278972 2
 
5.1%
208162.949786192 1
 
2.6%
206751.313659786 1
 
2.6%
206918.521143662 1
 
2.6%
206969.674869398 1
 
2.6%
206413.466111643 1
 
2.6%
207708.434592968 1
 
2.6%
208032.945392027 1
 
2.6%
208156.29787686 1
 
2.6%
Other values (27) 27
69.2%
ValueCountFrequency (%)
206315.621494545 1
2.6%
206413.466111643 1
2.6%
206569.809839433 1
2.6%
206689.85488446 1
2.6%
206740.95977172 1
2.6%
206751.313659786 1
2.6%
206780.966208611 1
2.6%
206798.110380797 1
2.6%
206808.914669794 1
2.6%
206821.108967706 1
2.6%
ValueCountFrequency (%)
209644.308531451 1
2.6%
208826.107675012 1
2.6%
208574.566606995 1
2.6%
208536.163679365 1
2.6%
208492.128113395 1
2.6%
208281.494695145 1
2.6%
208269.433219878 1
2.6%
208253.775603589 1
2.6%
208231.356512091 1
2.6%
208162.949786192 1
2.6%

좌표정보(Y)
Real number (ℝ)

Distinct37
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean455357.8
Minimum453151.09
Maximum457150.63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-05-18T12:27:01.348321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum453151.09
5-th percentile453811.36
Q1454542.24
median455196.97
Q3456140.41
95-th percentile457081.63
Maximum457150.63
Range3999.5324
Interquartile range (IQR)1598.167

Descriptive statistics

Standard deviation1100.5434
Coefficient of variation (CV)0.0024168761
Kurtosis-0.75333287
Mean455357.8
Median Absolute Deviation (MAD)759.30633
Skewness0.1112409
Sum17758954
Variance1211195.8
MonotonicityNot monotonic
2024-05-18T12:27:01.849758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
454911.110252938 2
 
5.1%
455196.971910524 2
 
5.1%
455084.999271496 1
 
2.6%
457078.075826696 1
 
2.6%
456888.556229329 1
 
2.6%
457150.626367535 1
 
2.6%
456142.404943031 1
 
2.6%
453190.864383804 1
 
2.6%
453151.093936537 1
 
2.6%
454479.004441366 1
 
2.6%
Other values (27) 27
69.2%
ValueCountFrequency (%)
453151.093936537 1
2.6%
453190.864383804 1
2.6%
453880.29967956 1
2.6%
454183.01859648 1
2.6%
454206.630354098 1
2.6%
454408.543429514 1
2.6%
454437.665584554 1
2.6%
454449.97424254 1
2.6%
454479.004441366 1
2.6%
454517.575326381 1
2.6%
ValueCountFrequency (%)
457150.626367535 1
2.6%
457113.638411288 1
2.6%
457078.075826696 1
2.6%
457021.162035231 1
2.6%
456949.35802282 1
2.6%
456888.556229329 1
2.6%
456873.509136444 1
2.6%
456825.300625744 1
2.6%
456379.478717154 1
2.6%
456142.404943031 1
2.6%

문화체육업종명
Categorical

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
국내여행업
30 
<NA>
9 

Length

Max length5
Median length5
Mean length4.7692308
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내여행업 30
76.9%
<NA> 9
 
23.1%

Length

2024-05-18T12:27:02.333352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T12:27:02.780819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내여행업 30
76.9%
na 9
 
23.1%

문화사업자구분명
Categorical

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
<NA>
27 
관광사업
12 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
69.2%
관광사업 12
30.8%

Length

2024-05-18T12:27:03.167201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T12:27:03.497886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
69.2%
관광사업 12
30.8%

지역구분명
Categorical

Distinct6
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size444.0 B
<NA>
26 
근린상업지역
5 
일반주거지역
5 
준주거지역
 
1
주거지역
 
1

Length

Max length6
Median length4
Mean length4.5897436
Min length4

Unique

Unique3 ?
Unique (%)7.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 26
66.7%
근린상업지역 5
 
12.8%
일반주거지역 5
 
12.8%
준주거지역 1
 
2.6%
주거지역 1
 
2.6%
일반상업지역 1
 
2.6%

Length

2024-05-18T12:27:03.999830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T12:27:04.413248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
66.7%
근린상업지역 5
 
12.8%
일반주거지역 5
 
12.8%
준주거지역 1
 
2.6%
주거지역 1
 
2.6%
일반상업지역 1
 
2.6%

총층수
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)56.2%
Missing23
Missing (%)59.0%
Infinite0
Infinite (%)0.0%
Mean5.6875
Minimum2
Maximum13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-05-18T12:27:04.793185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.75
Q13.75
median5
Q37
95-th percentile10.75
Maximum13
Range11
Interquartile range (IQR)3.25

Descriptive statistics

Standard deviation2.8686524
Coefficient of variation (CV)0.50437845
Kurtosis1.5849152
Mean5.6875
Median Absolute Deviation (MAD)2
Skewness1.1916301
Sum91
Variance8.2291667
MonotonicityNot monotonic
2024-05-18T12:27:05.180806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
5 3
 
7.7%
3 3
 
7.7%
4 2
 
5.1%
7 2
 
5.1%
6 2
 
5.1%
2 1
 
2.6%
13 1
 
2.6%
10 1
 
2.6%
8 1
 
2.6%
(Missing) 23
59.0%
ValueCountFrequency (%)
2 1
 
2.6%
3 3
7.7%
4 2
5.1%
5 3
7.7%
6 2
5.1%
7 2
5.1%
8 1
 
2.6%
10 1
 
2.6%
13 1
 
2.6%
ValueCountFrequency (%)
13 1
 
2.6%
10 1
 
2.6%
8 1
 
2.6%
7 2
5.1%
6 2
5.1%
5 3
7.7%
4 2
5.1%
3 3
7.7%
2 1
 
2.6%

주변환경명
Categorical

Distinct3
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size444.0 B
<NA>
31 
기타
7 
주택가주변
 
1

Length

Max length5
Median length4
Mean length3.6666667
Min length2

Unique

Unique1 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
79.5%
기타 7
 
17.9%
주택가주변 1
 
2.6%

Length

2024-05-18T12:27:05.631003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T12:27:06.034261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
79.5%
기타 7
 
17.9%
주택가주변 1
 
2.6%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

보험기관명
Categorical

Distinct9
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
<NA>
21 
서울보증보험주식회사
6 
서울보증보험
3 
한국관광협회중앙회
3 
한국관광협회중앙회 여행공제회
 
2
Other values (4)
4 

Length

Max length15
Median length4
Mean length6.9230769
Min length4

Unique

Unique4 ?
Unique (%)10.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
53.8%
서울보증보험주식회사 6
 
15.4%
서울보증보험 3
 
7.7%
한국관광협회중앙회 3
 
7.7%
한국관광협회중앙회 여행공제회 2
 
5.1%
한국관광협회중앙회(공제보증) 1
 
2.6%
서울보증보험(이천만원) 1
 
2.6%
서울보증보험(이행지급보험) 1
 
2.6%
한국관광협회 중앙회 1
 
2.6%

Length

2024-05-18T12:27:06.722788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T12:27:07.219806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
50.0%
서울보증보험주식회사 6
 
14.3%
한국관광협회중앙회 5
 
11.9%
서울보증보험 3
 
7.1%
여행공제회 2
 
4.8%
한국관광협회중앙회(공제보증 1
 
2.4%
서울보증보험(이천만원 1
 
2.4%
서울보증보험(이행지급보험 1
 
2.4%
한국관광협회 1
 
2.4%
중앙회 1
 
2.4%

건물용도명
Categorical

Distinct4
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size444.0 B
<NA>
23 
근린생활시설
11 
사무실
4 
아파트
 
1

Length

Max length6
Median length4
Mean length4.4358974
Min length3

Unique

Unique1 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 23
59.0%
근린생활시설 11
28.2%
사무실 4
 
10.3%
아파트 1
 
2.6%

Length

2024-05-18T12:27:07.763816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T12:27:08.224481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
59.0%
근린생활시설 11
28.2%
사무실 4
 
10.3%
아파트 1
 
2.6%

지상층수
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)52.9%
Missing22
Missing (%)56.4%
Infinite0
Infinite (%)0.0%
Mean6.2941176
Minimum2
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-05-18T12:27:08.655123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q13
median4
Q36
95-th percentile14.2
Maximum35
Range33
Interquartile range (IQR)3

Descriptive statistics

Standard deviation7.679231
Coefficient of variation (CV)1.2200647
Kurtosis14.165433
Mean6.2941176
Median Absolute Deviation (MAD)1
Skewness3.6432758
Sum107
Variance58.970588
MonotonicityNot monotonic
2024-05-18T12:27:08.985367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
2 3
 
7.7%
4 3
 
7.7%
3 3
 
7.7%
5 3
 
7.7%
9 1
 
2.6%
6 1
 
2.6%
8 1
 
2.6%
35 1
 
2.6%
7 1
 
2.6%
(Missing) 22
56.4%
ValueCountFrequency (%)
2 3
7.7%
3 3
7.7%
4 3
7.7%
5 3
7.7%
6 1
 
2.6%
7 1
 
2.6%
8 1
 
2.6%
9 1
 
2.6%
35 1
 
2.6%
ValueCountFrequency (%)
35 1
 
2.6%
9 1
 
2.6%
8 1
 
2.6%
7 1
 
2.6%
6 1
 
2.6%
5 3
7.7%
4 3
7.7%
3 3
7.7%
2 3
7.7%

지하층수
Categorical

Distinct5
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Memory size444.0 B
<NA>
26 
1
9 
5
 
2
2
 
1
8
 
1

Length

Max length4
Median length4
Mean length3
Min length1

Unique

Unique2 ?
Unique (%)5.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row1

Common Values

ValueCountFrequency (%)
<NA> 26
66.7%
1 9
 
23.1%
5 2
 
5.1%
2 1
 
2.6%
8 1
 
2.6%

Length

2024-05-18T12:27:09.376894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T12:27:09.903921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
66.7%
1 9
 
23.1%
5 2
 
5.1%
2 1
 
2.6%
8 1
 
2.6%

객실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

건축연면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

영문상호명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

영문상호주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

선박총톤수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

선박척수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

무대면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

좌석수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

회의실별동시수용인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)100.0%
Missing28
Missing (%)71.8%
Infinite0
Infinite (%)0.0%
Mean807.88636
Minimum0
Maximum7924
Zeros1
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-05-18T12:27:10.485234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile17.82
Q188
median110
Q3130.19
95-th percentile4038.815
Maximum7924
Range7924
Interquartile range (IQR)42.19

Descriptive statistics

Standard deviation2360.5655
Coefficient of variation (CV)2.9219028
Kurtosis10.989639
Mean807.88636
Median Absolute Deviation (MAD)20.38
Skewness3.3144663
Sum8886.75
Variance5572269.3
MonotonicityNot monotonic
2024-05-18T12:27:10.962980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
130.38 1
 
2.6%
110.0 1
 
2.6%
0.0 1
 
2.6%
35.64 1
 
2.6%
84.0 1
 
2.6%
153.63 1
 
2.6%
130.0 1
 
2.6%
7924.0 1
 
2.6%
103.0 1
 
2.6%
124.1 1
 
2.6%
(Missing) 28
71.8%
ValueCountFrequency (%)
0.0 1
2.6%
35.64 1
2.6%
84.0 1
2.6%
92.0 1
2.6%
103.0 1
2.6%
110.0 1
2.6%
124.1 1
2.6%
130.0 1
2.6%
130.38 1
2.6%
153.63 1
2.6%
ValueCountFrequency (%)
7924.0 1
2.6%
153.63 1
2.6%
130.38 1
2.6%
130.0 1
2.6%
124.1 1
2.6%
110.0 1
2.6%
103.0 1
2.6%
92.0 1
2.6%
84.0 1
2.6%
35.64 1
2.6%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

놀이시설수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

자본금
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)38.1%
Missing18
Missing (%)46.2%
Infinite0
Infinite (%)0.0%
Mean60500000
Minimum30000000
Maximum2.5 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-05-18T12:27:11.355694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30000000
5-th percentile30000000
Q130000000
median50000000
Q350000000
95-th percentile1.025 × 108
Maximum2.5 × 108
Range2.2 × 108
Interquartile range (IQR)20000000

Descriptive statistics

Standard deviation49626102
Coefficient of variation (CV)0.82026615
Kurtosis11.006192
Mean60500000
Median Absolute Deviation (MAD)20000000
Skewness3.0570655
Sum1.2705 × 109
Variance2.46275 × 1015
MonotonicityNot monotonic
2024-05-18T12:27:11.705676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
50000000 7
 
17.9%
30000000 7
 
17.9%
90000000 2
 
5.1%
100000000 1
 
2.6%
250000000 1
 
2.6%
33000000 1
 
2.6%
45000000 1
 
2.6%
102500000 1
 
2.6%
(Missing) 18
46.2%
ValueCountFrequency (%)
30000000 7
17.9%
33000000 1
 
2.6%
45000000 1
 
2.6%
50000000 7
17.9%
90000000 2
 
5.1%
100000000 1
 
2.6%
102500000 1
 
2.6%
250000000 1
 
2.6%
ValueCountFrequency (%)
250000000 1
 
2.6%
102500000 1
 
2.6%
100000000 1
 
2.6%
90000000 2
 
5.1%
50000000 7
17.9%
45000000 1
 
2.6%
33000000 1
 
2.6%
30000000 7
17.9%

보험시작일자
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)100.0%
Missing19
Missing (%)48.7%
Infinite0
Infinite (%)0.0%
Mean20150125
Minimum20070719
Maximum20200703
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-05-18T12:27:12.122693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070719
5-th percentile20089133
Q120138079
median20150458
Q320166134
95-th percentile20200701
Maximum20200703
Range129984
Interquartile range (IQR)28054.75

Descriptive statistics

Standard deviation35369.292
Coefficient of variation (CV)0.0017552889
Kurtosis0.26180172
Mean20150125
Median Absolute Deviation (MAD)15238.5
Skewness-0.33685823
Sum4.0300251 × 108
Variance1.2509868 × 109
MonotonicityNot monotonic
2024-05-18T12:27:12.664441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
20141021 1
 
2.6%
20200703 1
 
2.6%
20200701 1
 
2.6%
20200220 1
 
2.6%
20180928 1
 
2.6%
20161202 1
 
2.6%
20140530 1
 
2.6%
20151219 1
 
2.6%
20150204 1
 
2.6%
20150713 1
 
2.6%
Other values (10) 10
25.6%
(Missing) 19
48.7%
ValueCountFrequency (%)
20070719 1
2.6%
20090102 1
2.6%
20110210 1
2.6%
20130428 1
2.6%
20130725 1
2.6%
20140530 1
2.6%
20140714 1
2.6%
20141021 1
2.6%
20150202 1
2.6%
20150204 1
2.6%
ValueCountFrequency (%)
20200703 1
2.6%
20200701 1
2.6%
20200526 1
2.6%
20200220 1
2.6%
20180928 1
2.6%
20161202 1
2.6%
20151219 1
2.6%
20150723 1
2.6%
20150717 1
2.6%
20150713 1
2.6%

보험종료일자
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)100.0%
Missing19
Missing (%)48.7%
Infinite0
Infinite (%)0.0%
Mean20159651
Minimum20080719
Maximum20210703
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-05-18T12:27:13.074523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080719
5-th percentile20099132
Q120148079
median20160458
Q320176134
95-th percentile20210535
Maximum20210703
Range129984
Interquartile range (IQR)28054.75

Descriptive statistics

Standard deviation34714.009
Coefficient of variation (CV)0.0017219548
Kurtosis0.34545456
Mean20159651
Median Absolute Deviation (MAD)15238.5
Skewness-0.39456712
Sum4.0319303 × 108
Variance1.2050624 × 109
MonotonicityNot monotonic
2024-05-18T12:27:13.788015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
20151020 1
 
2.6%
20210703 1
 
2.6%
20201231 1
 
2.6%
20210219 1
 
2.6%
20190928 1
 
2.6%
20171202 1
 
2.6%
20150530 1
 
2.6%
20161218 1
 
2.6%
20160204 1
 
2.6%
20160712 1
 
2.6%
Other values (10) 10
25.6%
(Missing) 19
48.7%
ValueCountFrequency (%)
20080719 1
2.6%
20100101 1
2.6%
20120209 1
2.6%
20140427 1
2.6%
20140725 1
2.6%
20150530 1
2.6%
20150714 1
2.6%
20151020 1
2.6%
20160201 1
2.6%
20160204 1
2.6%
ValueCountFrequency (%)
20210703 1
2.6%
20210526 1
2.6%
20210219 1
2.6%
20201231 1
2.6%
20190928 1
2.6%
20171202 1
2.6%
20161218 1
2.6%
20160722 1
2.6%
20160716 1
2.6%
20160712 1
2.6%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)90.9%
Missing28
Missing (%)71.8%
Infinite0
Infinite (%)0.0%
Mean807.90909
Minimum0
Maximum7924
Zeros1
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-05-18T12:27:14.396800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile18
Q188
median110
Q3130
95-th percentile4039
Maximum7924
Range7924
Interquartile range (IQR)42

Descriptive statistics

Standard deviation2360.5572
Coefficient of variation (CV)2.9218105
Kurtosis10.989656
Mean807.90909
Median Absolute Deviation (MAD)20
Skewness3.3144699
Sum8887
Variance5572230.5
MonotonicityNot monotonic
2024-05-18T12:27:14.923111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
130 2
 
5.1%
110 1
 
2.6%
0 1
 
2.6%
36 1
 
2.6%
84 1
 
2.6%
154 1
 
2.6%
7924 1
 
2.6%
103 1
 
2.6%
124 1
 
2.6%
92 1
 
2.6%
(Missing) 28
71.8%
ValueCountFrequency (%)
0 1
2.6%
36 1
2.6%
84 1
2.6%
92 1
2.6%
103 1
2.6%
110 1
2.6%
124 1
2.6%
130 2
5.1%
154 1
2.6%
7924 1
2.6%
ValueCountFrequency (%)
7924 1
2.6%
154 1
2.6%
130 2
5.1%
124 1
2.6%
110 1
2.6%
103 1
2.6%
92 1
2.6%
84 1
2.6%
36 1
2.6%
0 1
2.6%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03060000CDFI226001199000000119900507<NA>3폐업3폐업20090630<NA><NA><NA><NA><NA>131810서울특별시 중랑구 망우동 564-6서울특별시 중랑구 망우로 368 (망우동)131810(주)하나테마여행2020-12-07 20:23:51U2020-12-09 02:40:00.0<NA>208162.949786455084.999271국내여행업관광사업근린상업지역<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><NA><NA><NA><NA><NA>
13060000CDFI226001199900000119990422<NA>4취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA>438-6844<NA>131819서울특별시 중랑구 면목동 132-1번지서울특별시 중랑구 봉우재로 114 (면목동)131819우현항공여행사(국내여행업)2011-10-30 13:25:44I2018-08-31 23:59:59.0<NA>207502.833446454449.974243국내여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23060000CDFI226001200100000120010212<NA>3폐업3폐업20030613<NA><NA><NA>435-3800<NA>131810서울특별시 중랑구 망우동 563-9번지<NA><NA>(주) 뉴하나 관광2003-06-14 09:36:53I2018-08-31 23:59:59.0<NA>208281.494695455120.832208국내여행업관광사업근린상업지역2기타<NA><NA>근린생활시설2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>130.38<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>130
33060000CDFI226001200100000320011226<NA>3폐업3폐업20031117<NA><NA><NA>776-6620<NA>131848서울특별시 중랑구 묵동 172-15번지<NA><NA>(주)미르하나2003-11-18 14:04:30I2018-08-31 23:59:59.0<NA>206930.215271456873.509136국내여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>50000000<NA><NA><NA><NA>
43060000CDFI226001200200000120020520<NA>3폐업3폐업20020618<NA><NA><NA>432-2111<NA>131815서울특별시 중랑구 면목동 68-1번지<NA><NA>(주)정우무역.여행2003-04-18 17:04:20I2018-08-31 23:59:59.0<NA>208253.775604453880.29968국내여행업관광사업근린상업지역5기타<NA><NA>근린생활시설41<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>110.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>110
53060000CDFI226001200200000220020522<NA>3폐업3폐업20031117<NA><NA><NA>432-7870<NA>131857서울특별시 중랑구 상봉동 116-12번지 3층<NA><NA>나사항공여행사2003-11-18 14:02:43I2018-08-31 23:59:59.0<NA>207297.240092454863.701752국내여행업관광사업근린상업지역4기타<NA><NA>근린생활시설31<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
63060000CDFI226001200500000220050418<NA>3폐업3폐업20110318<NA><NA><NA>02-492-7993<NA>131860서울특별시 중랑구 상봉동 110-48번지<NA><NA>(주) 동서남북테마여행사2011-03-18 13:36:26I2018-08-31 23:59:59.0<NA>207371.282842454566.912774국내여행업관광사업<NA>3<NA><NA><NA><NA>3<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>50000000<NA><NA><NA><NA>
73060000CDFI226001200600000220060705<NA>3폐업3폐업20160817<NA><NA><NA>438-2224<NA>131819서울특별시 중랑구 면목동 142-3번지 2층서울특별시 중랑구 면목천로23길 45, 2층 (면목동)2141하나2016-08-18 10:59:28I2018-08-31 23:59:59.0<NA>207192.956998454183.018596국내여행업관광사업<NA>5<NA><NA>서울보증보험근린생활시설41<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2015071320160712<NA><NA>
83060000CDFI226001200700000120070123<NA>3폐업3폐업20111101<NA><NA><NA><NA><NA>131861서울특별시 중랑구 상봉동 137-15번지 상봉오피스텔 109호서울특별시 중랑구 중랑천로 77 (상봉동)131861(주)장애인여행투데이원2011-11-01 16:29:22I2018-08-31 23:59:59.0<NA>206315.621495454437.665585국내여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>35.64<NA><NA><NA><NA><NA><NA><NA><NA>50000000<NA><NA><NA>36
93060000CDFI226001200700000220070516<NA>3폐업3폐업20081231<NA><NA><NA>02-2209-3377<NA>131863서울특별시 중랑구 상봉동 486-1번지 우암빌딩 302호<NA><NA>우리여행사2009-07-30 14:39:11I2018-08-31 23:59:59.0<NA>207661.44834455671.574411국내여행업관광사업일반주거지역3주택가주변<NA><NA>사무실91<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>84.0<NA><NA><NA><NA><NA><NA><NA><NA>50000000<NA><NA><NA>84
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
293060000CDFI226001201800000120161018<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 중화동 301-11번지 성심빌딩서울특별시 중랑구 동일로 769, 성심빌딩 3층 303호 (중화동)2103투어앙상블2018-10-11 09:09:21U2018-10-11 23:59:59.0<NA>206956.392279455196.971911국내여행업<NA><NA><NA><NA><NA>한국관광협회중앙회<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>300000002018092820190928<NA><NA>
303060000CDFI226001201800000220180220<NA>3폐업3폐업20210112<NA><NA><NA><NA><NA><NA>서울특별시 중랑구 면목동 88-61서울특별시 중랑구 상봉로 75, 4층 (면목동)2157그린쿱 협동조합2022-01-14 15:05:07U2022-01-16 02:40:00.0<NA>208156.297877454479.004441국내여행업<NA><NA><NA><NA><NA>서울보증보험(이천만원)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>300000002020022020210219<NA><NA>
313060000CDFI226001201900000220190712<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 상봉동 101번지 이지팰리스서울특별시 중랑구 망우로 316, 204호 (상봉동)2148와이앤비에이 주식회사2019-07-12 17:16:45I2019-07-14 02:21:36.0<NA>207660.883688454911.110253국내여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
323060000CDFI22600120190000032019-08-13<NA>5제외/삭제/전출15전출2023-09-06<NA><NA><NA><NA><NA><NA>서울특별시 중랑구 상봉동 129-9 중랑교쇼핑센터서울특별시 중랑구 망우로32길 23, 중랑교쇼핑센터 1층 90호 (상봉동)2121해랑여행사2023-09-06 14:39:51U2022-12-09 00:09:00.0<NA>206740.959772454517.575326<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
333060000CDFI226001201900000420191105<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3421-1373<NA><NA>서울특별시 중랑구 신내동 661 신내대명아파트서울특별시 중랑구 봉화산로 189, 408호 (신내동)2043애플트리2021-05-17 13:12:00U2021-05-19 02:40:00.0<NA>208231.356512456138.417215국내여행업<NA><NA><NA><NA><NA>서울보증보험(이행지급보험)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>500000002020070120201231<NA><NA>
343060000CDFI22600120200000012020-04-06<NA>3폐업3폐업2023-12-31<NA><NA><NA>02-1577-8138<NA><NA>서울특별시 중랑구 망우동 56 중랑가족캠핑장서울특별시 중랑구 송림길 172, 중랑가족캠핑장 (망우동)2062포레스트어드벤쳐코리아2024-01-16 14:49:52U2023-11-30 23:08:00.0<NA>209644.308531456006.963934<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
353060000CDFI226001202000000220200416<NA>1영업/정상13영업중<NA><NA><NA><NA>070-4904-2785<NA><NA>서울특별시 중랑구 상봉동 125-68서울특별시 중랑구 봉우재로 79, 화성빌딩 (상봉동)2139주식회사 아이보트투어2020-07-03 17:47:55U2020-07-05 02:40:00.0<NA>207169.501342454408.54343국내여행업<NA><NA><NA><NA><NA>한국관광협회 중앙회<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1025000002020070320210703<NA><NA>
363060000CDFI22600120210000012015-12-10<NA>1영업/정상13영업중<NA><NA><NA><NA>02-773-1463<NA><NA>서울특별시 중랑구 신내동 397 동성아파트상가 111호서울특별시 중랑구 신내로 126, 111호 (신내동, 동성아파트)2054(주)제주자연피정2024-01-05 15:07:59U2023-12-01 00:07:00.0<NA>208536.163679456379.478717<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
373060000CDFI22600120240000012024-01-16<NA>1영업/정상13영업중<NA><NA><NA><NA>02-1566-1672<NA><NA>서울특별시 중랑구 중화동 312-3서울특별시 중랑구 중랑역로 87, 2층 (중화동)2101주식회사 모든마케팅2024-03-11 16:22:20U2023-12-02 23:03:00.0<NA>206780.966209455435.167822<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
383060000CDFI22600120240000022006-05-23<NA>1영업/정상13영업중<NA><NA><NA><NA>02-830-0181<NA><NA>서울특별시 중랑구 묵동 245-6서울특별시 중랑구 동일로 859, 가동 2층 F51호 (묵동)2010(주)교육여행행복한아이들2024-03-19 17:28:17I2023-12-02 22:01:00.0<NA>206821.108968456096.359567<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>