Overview

Dataset statistics

Number of variables60
Number of observations65
Missing cells2058
Missing cells (%)52.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory33.1 KiB
Average record size in memory522.0 B

Variable types

Categorical13
Text7
DateTime4
Unsupported25
Numeric11

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-17583/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
주변환경명 is highly imbalanced (61.8%)Imbalance
기획여행보험시작일자 is highly imbalanced (88.5%)Imbalance
기획여행보험종료일자 is highly imbalanced (88.5%)Imbalance
인허가취소일자 has 65 (100.0%) missing valuesMissing
폐업일자 has 30 (46.2%) missing valuesMissing
휴업시작일자 has 65 (100.0%) missing valuesMissing
휴업종료일자 has 65 (100.0%) missing valuesMissing
재개업일자 has 65 (100.0%) missing valuesMissing
전화번호 has 22 (33.8%) missing valuesMissing
소재지면적 has 65 (100.0%) missing valuesMissing
소재지우편번호 has 33 (50.8%) missing valuesMissing
도로명주소 has 9 (13.8%) missing valuesMissing
도로명우편번호 has 9 (13.8%) missing valuesMissing
업태구분명 has 65 (100.0%) missing valuesMissing
총층수 has 45 (69.2%) missing valuesMissing
제작취급품목내용 has 65 (100.0%) missing valuesMissing
지상층수 has 44 (67.7%) missing valuesMissing
지하층수 has 46 (70.8%) missing valuesMissing
객실수 has 65 (100.0%) missing valuesMissing
건축연면적 has 65 (100.0%) missing valuesMissing
영문상호명 has 65 (100.0%) missing valuesMissing
영문상호주소 has 65 (100.0%) missing valuesMissing
선박총톤수 has 65 (100.0%) missing valuesMissing
선박척수 has 65 (100.0%) missing valuesMissing
선박제원 has 65 (100.0%) missing valuesMissing
무대면적 has 65 (100.0%) missing valuesMissing
좌석수 has 65 (100.0%) missing valuesMissing
기념품종류 has 65 (100.0%) missing valuesMissing
회의실별동시수용인원 has 65 (100.0%) missing valuesMissing
시설면적 has 51 (78.5%) missing valuesMissing
놀이기구수내역 has 65 (100.0%) missing valuesMissing
놀이시설수 has 65 (100.0%) missing valuesMissing
방송시설유무 has 65 (100.0%) missing valuesMissing
발전시설유무 has 65 (100.0%) missing valuesMissing
의무실유무 has 65 (100.0%) missing valuesMissing
안내소유무 has 65 (100.0%) missing valuesMissing
자본금 has 29 (44.6%) missing valuesMissing
보험시작일자 has 32 (49.2%) missing valuesMissing
보험종료일자 has 32 (49.2%) missing valuesMissing
부대시설내역 has 65 (100.0%) missing valuesMissing
시설규모 has 51 (78.5%) missing valuesMissing
관리번호 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
부대시설내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지하층수 has 1 (1.5%) zerosZeros

Reproduction

Analysis started2024-05-11 03:36:29.854579
Analysis finished2024-05-11 03:36:31.275443
Duration1.42 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size652.0 B
3060000
65 

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 65
100.0%

Length

2024-05-11T03:36:31.507809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:36:31.862522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3060000 65
100.0%

관리번호
Text

UNIQUE 

Distinct65
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size652.0 B
2024-05-11T03:36:32.412714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1300
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

Unique65 ?
Unique (%)100.0%

Sample

1st rowCDFI2260021996000001
2nd rowCDFI2260021999000001
3rd rowCDFI2260022001000001
4th rowCDFI2260022003000004
5th rowCDFI2260022003000005
ValueCountFrequency (%)
cdfi2260021996000001 1
 
1.5%
cdfi2260022013000005 1
 
1.5%
cdfi2260022014000001 1
 
1.5%
cdfi2260022014000003 1
 
1.5%
cdfi2260022015000003 1
 
1.5%
cdfi2260022016000001 1
 
1.5%
cdfi2260022016000002 1
 
1.5%
cdfi2260022016000004 1
 
1.5%
cdfi2260022016000005 1
 
1.5%
cdfi2260022016000006 1
 
1.5%
Other values (55) 55
84.6%
2024-05-11T03:36:33.477378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 542
41.7%
2 287
22.1%
6 78
 
6.0%
C 65
 
5.0%
D 65
 
5.0%
F 65
 
5.0%
I 65
 
5.0%
1 60
 
4.6%
3 23
 
1.8%
9 12
 
0.9%
Other values (4) 38
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1040
80.0%
Uppercase Letter 260
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 542
52.1%
2 287
27.6%
6 78
 
7.5%
1 60
 
5.8%
3 23
 
2.2%
9 12
 
1.2%
4 12
 
1.2%
5 11
 
1.1%
7 8
 
0.8%
8 7
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
C 65
25.0%
D 65
25.0%
F 65
25.0%
I 65
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1040
80.0%
Latin 260
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 542
52.1%
2 287
27.6%
6 78
 
7.5%
1 60
 
5.8%
3 23
 
2.2%
9 12
 
1.2%
4 12
 
1.2%
5 11
 
1.1%
7 8
 
0.8%
8 7
 
0.7%
Latin
ValueCountFrequency (%)
C 65
25.0%
D 65
25.0%
F 65
25.0%
I 65
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1300
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 542
41.7%
2 287
22.1%
6 78
 
6.0%
C 65
 
5.0%
D 65
 
5.0%
F 65
 
5.0%
I 65
 
5.0%
1 60
 
4.6%
3 23
 
1.8%
9 12
 
0.9%
Other values (4) 38
 
2.9%

인허가일자
Date

Distinct64
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size652.0 B
Minimum1996-06-20 00:00:00
Maximum2024-03-13 00:00:00
2024-05-11T03:36:34.006637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:36:34.439318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

영업상태코드
Categorical

Distinct4
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size652.0 B
3
33 
1
27 
4
 
3
5
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 33
50.8%
1 27
41.5%
4 3
 
4.6%
5 2
 
3.1%

Length

2024-05-11T03:36:34.934545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:36:35.363485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 33
50.8%
1 27
41.5%
4 3
 
4.6%
5 2
 
3.1%

영업상태명
Categorical

Distinct4
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size652.0 B
폐업
33 
영업/정상
27 
취소/말소/만료/정지/중지
 
3
제외/삭제/전출
 
2

Length

Max length14
Median length2
Mean length3.9846154
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 33
50.8%
영업/정상 27
41.5%
취소/말소/만료/정지/중지 3
 
4.6%
제외/삭제/전출 2
 
3.1%

Length

2024-05-11T03:36:35.911569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:36:36.355006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 33
50.8%
영업/정상 27
41.5%
취소/말소/만료/정지/중지 3
 
4.6%
제외/삭제/전출 2
 
3.1%

상세영업상태코드
Real number (ℝ)

Distinct6
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.8153846
Minimum3
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2024-05-11T03:36:36.828408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q13
median3
Q313
95-th percentile15
Maximum31
Range28
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.9684385
Coefficient of variation (CV)0.79048604
Kurtosis2.2048295
Mean8.8153846
Median Absolute Deviation (MAD)0
Skewness1.3040292
Sum573
Variance48.559135
MonotonicityNot monotonic
2024-05-11T03:36:37.364714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 33
50.8%
13 26
40.0%
31 2
 
3.1%
15 2
 
3.1%
30 1
 
1.5%
14 1
 
1.5%
ValueCountFrequency (%)
3 33
50.8%
13 26
40.0%
14 1
 
1.5%
15 2
 
3.1%
30 1
 
1.5%
31 2
 
3.1%
ValueCountFrequency (%)
31 2
 
3.1%
30 1
 
1.5%
15 2
 
3.1%
14 1
 
1.5%
13 26
40.0%
3 33
50.8%

상세영업상태명
Categorical

Distinct6
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Memory size652.0 B
폐업
33 
영업중
26 
등록취소
 
2
전출
 
2
허가취소
 
1

Length

Max length4
Median length2
Mean length2.4923077
Min length2

Unique

Unique2 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 33
50.8%
영업중 26
40.0%
등록취소 2
 
3.1%
전출 2
 
3.1%
허가취소 1
 
1.5%
전입 1
 
1.5%

Length

2024-05-11T03:36:38.037604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:36:38.516561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 33
50.8%
영업중 26
40.0%
등록취소 2
 
3.1%
전출 2
 
3.1%
허가취소 1
 
1.5%
전입 1
 
1.5%

폐업일자
Date

MISSING 

Distinct35
Distinct (%)100.0%
Missing30
Missing (%)46.2%
Memory size652.0 B
Minimum2008-12-31 00:00:00
Maximum2024-03-18 00:00:00
2024-05-11T03:36:39.155408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:36:39.737614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

전화번호
Text

MISSING 

Distinct42
Distinct (%)97.7%
Missing22
Missing (%)33.8%
Memory size652.0 B
2024-05-11T03:36:40.398756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length10.395349
Min length8

Characters and Unicode

Total characters447
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

Unique41 ?
Unique (%)95.3%

Sample

1st row438-6844
2nd row02-435-5858
3rd row495-2900
4th row2208-0444
5th row02-3421-1373
ValueCountFrequency (%)
02-3452-1890 2
 
4.7%
02-3423-0933 1
 
2.3%
0507-1375-5835 1
 
2.3%
02-417-8181 1
 
2.3%
6239-8700 1
 
2.3%
1566-1571 1
 
2.3%
02-436-8881 1
 
2.3%
15777921 1
 
2.3%
024345033 1
 
2.3%
02-545-3994 1
 
2.3%
Other values (32) 32
74.4%
2024-05-11T03:36:41.736605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 68
15.2%
- 65
14.5%
0 64
14.3%
4 42
9.4%
3 39
8.7%
5 35
7.8%
8 34
7.6%
1 32
7.2%
7 28
6.3%
9 26
 
5.8%
Other values (2) 14
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 381
85.2%
Dash Punctuation 65
 
14.5%
Other Punctuation 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 68
17.8%
0 64
16.8%
4 42
11.0%
3 39
10.2%
5 35
9.2%
8 34
8.9%
1 32
8.4%
7 28
7.3%
9 26
 
6.8%
6 13
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 65
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 447
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 68
15.2%
- 65
14.5%
0 64
14.3%
4 42
9.4%
3 39
8.7%
5 35
7.8%
8 34
7.6%
1 32
7.2%
7 28
6.3%
9 26
 
5.8%
Other values (2) 14
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 447
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 68
15.2%
- 65
14.5%
0 64
14.3%
4 42
9.4%
3 39
8.7%
5 35
7.8%
8 34
7.6%
1 32
7.2%
7 28
6.3%
9 26
 
5.8%
Other values (2) 14
 
3.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

소재지우편번호
Text

MISSING 

Distinct24
Distinct (%)75.0%
Missing33
Missing (%)50.8%
Memory size652.0 B
2024-05-11T03:36:42.410703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.21875
Min length6

Characters and Unicode

Total characters199
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

Unique19 ?
Unique (%)59.4%

Sample

1st row131859
2nd row131819
3rd row131-875
4th row131857
5th row131861
ValueCountFrequency (%)
131848 4
 
12.5%
131851 3
 
9.4%
131859 2
 
6.2%
131820 2
 
6.2%
131872 2
 
6.2%
131-806 1
 
3.1%
131-872 1
 
3.1%
131809 1
 
3.1%
131-857 1
 
3.1%
131880 1
 
3.1%
Other values (14) 14
43.8%
2024-05-11T03:36:43.589813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 73
36.7%
8 39
19.6%
3 33
16.6%
2 10
 
5.0%
5 8
 
4.0%
0 7
 
3.5%
7 7
 
3.5%
- 7
 
3.5%
4 5
 
2.5%
9 5
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 192
96.5%
Dash Punctuation 7
 
3.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 73
38.0%
8 39
20.3%
3 33
17.2%
2 10
 
5.2%
5 8
 
4.2%
0 7
 
3.6%
7 7
 
3.6%
4 5
 
2.6%
9 5
 
2.6%
6 5
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 199
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 73
36.7%
8 39
19.6%
3 33
16.6%
2 10
 
5.0%
5 8
 
4.0%
0 7
 
3.5%
7 7
 
3.5%
- 7
 
3.5%
4 5
 
2.5%
9 5
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 199
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 73
36.7%
8 39
19.6%
3 33
16.6%
2 10
 
5.0%
5 8
 
4.0%
0 7
 
3.5%
7 7
 
3.5%
- 7
 
3.5%
4 5
 
2.5%
9 5
 
2.5%

지번주소
Text

Distinct62
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Memory size652.0 B
2024-05-11T03:36:44.438692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length29
Mean length25.215385
Min length17

Characters and Unicode

Total characters1639
Distinct characters94
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)90.8%

Sample

1st row서울특별시 중랑구 상봉동 101번지 이지팰리스204
2nd row서울특별시 중랑구 면목동 132-1번지
3rd row서울특별시 중랑구 중화동 283-3 2층
4th row서울특별시 중랑구 상봉동 99-3번지
5th row서울특별시 중랑구 상봉동 136-87번지 2층
ValueCountFrequency (%)
서울특별시 65
20.1%
중랑구 65
20.1%
면목동 14
 
4.3%
묵동 14
 
4.3%
상봉동 12
 
3.7%
신내동 9
 
2.8%
중화동 9
 
2.8%
망우동 7
 
2.2%
홈플러스 4
 
1.2%
2층 4
 
1.2%
Other values (109) 121
37.3%
2024-05-11T03:36:45.807275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
292
 
17.8%
중 75
 
4.6%
동 73
 
4.5%
1 70
 
4.3%
랑 67
 
4.1%
시 66
 
4.0%
서 65
 
4.0%
특 65
 
4.0%
별 65
 
4.0%
구 65
 
4.0%
Other values (84) 736
44.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 947
57.8%
Decimal Number 343
 
20.9%
Space Separator 292
 
17.8%
Dash Punctuation 54
 
3.3%
Uppercase Letter 2
 
0.1%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 75
 
7.9%
동 73
 
7.7%
랑 67
 
7.1%
시 66
 
7.0%
서 65
 
6.9%
특 65
 
6.9%
별 65
 
6.9%
구 65
 
6.9%
울 65
 
6.9%
지 34
 
3.6%
Other values (69) 307
32.4%
Decimal Number
ValueCountFrequency (%)
1 70
20.4%
2 43
12.5%
3 40
11.7%
6 38
11.1%
0 36
10.5%
4 35
10.2%
8 26
 
7.6%
9 20
 
5.8%
5 18
 
5.2%
7 17
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
292
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 947
57.8%
Common 689
42.0%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 75
 
7.9%
동 73
 
7.7%
랑 67
 
7.1%
시 66
 
7.0%
서 65
 
6.9%
특 65
 
6.9%
별 65
 
6.9%
구 65
 
6.9%
울 65
 
6.9%
지 34
 
3.6%
Other values (69) 307
32.4%
Common
ValueCountFrequency (%)
292
42.4%
1 70
 
10.2%
- 54
 
7.8%
2 43
 
6.2%
3 40
 
5.8%
6 38
 
5.5%
0 36
 
5.2%
4 35
 
5.1%
8 26
 
3.8%
9 20
 
2.9%
Other values (2) 35
 
5.1%
Latin
ValueCountFrequency (%)
A 1
33.3%
B 1
33.3%
c 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 947
57.8%
ASCII 692
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
292
42.2%
1 70
 
10.1%
- 54
 
7.8%
2 43
 
6.2%
3 40
 
5.8%
6 38
 
5.5%
0 36
 
5.2%
4 35
 
5.1%
8 26
 
3.8%
9 20
 
2.9%
Other values (5) 38
 
5.5%
Hangul
ValueCountFrequency (%)
중 75
 
7.9%
동 73
 
7.7%
랑 67
 
7.1%
시 66
 
7.0%
서 65
 
6.9%
특 65
 
6.9%
별 65
 
6.9%
구 65
 
6.9%
울 65
 
6.9%
지 34
 
3.6%
Other values (69) 307
32.4%

도로명주소
Text

MISSING 

Distinct54
Distinct (%)96.4%
Missing9
Missing (%)13.8%
Memory size652.0 B
2024-05-11T03:36:46.689295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length36
Mean length31.125
Min length21

Characters and Unicode

Total characters1743
Distinct characters115
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)92.9%

Sample

1st row서울특별시 중랑구 봉우재로 114 (면목동)
2nd row서울특별시 중랑구 동일로 838 (중화동)
3rd row서울특별시 중랑구 망우로 323 (상봉동)
4th row서울특별시 중랑구 망우로30길 30 (상봉동)
5th row서울특별시 중랑구 중랑역로 269-6 (묵동)
ValueCountFrequency (%)
서울특별시 56
 
15.6%
중랑구 56
 
15.6%
묵동 14
 
3.9%
면목동 11
 
3.1%
동일로 11
 
3.1%
상봉동 10
 
2.8%
중화동 9
 
2.5%
신내동 7
 
2.0%
망우동 5
 
1.4%
망우로 5
 
1.4%
Other values (125) 174
48.6%
2024-05-11T03:36:48.190838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
302
 
17.3%
동 78
 
4.5%
중 71
 
4.1%
랑 63
 
3.6%
시 59
 
3.4%
울 56
 
3.2%
) 56
 
3.2%
로 56
 
3.2%
서 56
 
3.2%
( 56
 
3.2%
Other values (105) 890
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1005
57.7%
Space Separator 302
 
17.3%
Decimal Number 258
 
14.8%
Close Punctuation 56
 
3.2%
Open Punctuation 56
 
3.2%
Other Punctuation 51
 
2.9%
Dash Punctuation 9
 
0.5%
Uppercase Letter 5
 
0.3%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 78
 
7.8%
중 71
 
7.1%
랑 63
 
6.3%
시 59
 
5.9%
울 56
 
5.6%
로 56
 
5.6%
서 56
 
5.6%
별 56
 
5.6%
특 56
 
5.6%
구 56
 
5.6%
Other values (84) 398
39.6%
Decimal Number
ValueCountFrequency (%)
1 45
17.4%
3 38
14.7%
2 34
13.2%
0 27
10.5%
4 21
8.1%
9 21
8.1%
6 20
7.8%
8 20
7.8%
7 19
7.4%
5 13
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
20.0%
C 1
20.0%
F 1
20.0%
K 1
20.0%
E 1
20.0%
Space Separator
ValueCountFrequency (%)
302
100.0%
Close Punctuation
ValueCountFrequency (%)
) 56
100.0%
Open Punctuation
ValueCountFrequency (%)
( 56
100.0%
Other Punctuation
ValueCountFrequency (%)
, 51
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1005
57.7%
Common 732
42.0%
Latin 6
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 78
 
7.8%
중 71
 
7.1%
랑 63
 
6.3%
시 59
 
5.9%
울 56
 
5.6%
로 56
 
5.6%
서 56
 
5.6%
별 56
 
5.6%
특 56
 
5.6%
구 56
 
5.6%
Other values (84) 398
39.6%
Common
ValueCountFrequency (%)
302
41.3%
) 56
 
7.7%
( 56
 
7.7%
, 51
 
7.0%
1 45
 
6.1%
3 38
 
5.2%
2 34
 
4.6%
0 27
 
3.7%
4 21
 
2.9%
9 21
 
2.9%
Other values (5) 81
 
11.1%
Latin
ValueCountFrequency (%)
A 1
16.7%
c 1
16.7%
C 1
16.7%
F 1
16.7%
K 1
16.7%
E 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1005
57.7%
ASCII 738
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
302
40.9%
) 56
 
7.6%
( 56
 
7.6%
, 51
 
6.9%
1 45
 
6.1%
3 38
 
5.1%
2 34
 
4.6%
0 27
 
3.7%
4 21
 
2.8%
9 21
 
2.8%
Other values (11) 87
 
11.8%
Hangul
ValueCountFrequency (%)
동 78
 
7.8%
중 71
 
7.1%
랑 63
 
6.3%
시 59
 
5.9%
울 56
 
5.6%
로 56
 
5.6%
서 56
 
5.6%
별 56
 
5.6%
특 56
 
5.6%
구 56
 
5.6%
Other values (84) 398
39.6%

도로명우편번호
Text

MISSING 

Distinct42
Distinct (%)75.0%
Missing9
Missing (%)13.8%
Memory size652.0 B
2024-05-11T03:36:49.100514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.1964286
Min length5

Characters and Unicode

Total characters291
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

Unique33 ?
Unique (%)58.9%

Sample

1st row131819
2nd row02047
3rd row131858
4th row131861
5th row131848
ValueCountFrequency (%)
02024 3
 
5.4%
02103 3
 
5.4%
02006 3
 
5.4%
02157 3
 
5.4%
02139 3
 
5.4%
02161 2
 
3.6%
02034 2
 
3.6%
02236 2
 
3.6%
131848 2
 
3.6%
02150 1
 
1.8%
Other values (32) 32
57.1%
2024-05-11T03:36:50.543637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 82
28.2%
2 60
20.6%
1 54
18.6%
3 24
 
8.2%
8 19
 
6.5%
4 15
 
5.2%
6 11
 
3.8%
7 10
 
3.4%
5 8
 
2.7%
9 7
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 290
99.7%
Dash Punctuation 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 82
28.3%
2 60
20.7%
1 54
18.6%
3 24
 
8.3%
8 19
 
6.6%
4 15
 
5.2%
6 11
 
3.8%
7 10
 
3.4%
5 8
 
2.8%
9 7
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 291
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 82
28.2%
2 60
20.6%
1 54
18.6%
3 24
 
8.2%
8 19
 
6.5%
4 15
 
5.2%
6 11
 
3.8%
7 10
 
3.4%
5 8
 
2.7%
9 7
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 291
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 82
28.2%
2 60
20.6%
1 54
18.6%
3 24
 
8.2%
8 19
 
6.5%
4 15
 
5.2%
6 11
 
3.8%
7 10
 
3.4%
5 8
 
2.7%
9 7
 
2.4%

사업장명
Text

Distinct62
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Memory size652.0 B
2024-05-11T03:36:51.218944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length7.8923077
Min length2

Characters and Unicode

Total characters513
Distinct characters139
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)90.8%

Sample

1st row(주)서강여행사
2nd row우현항공여행사 (국외여행업)
3rd row엘에스항공여행사
4th row(주)이에이이
5th row(주)에이전시티케이
ValueCountFrequency (%)
주식회사 10
 
11.6%
주)연우투어 2
 
2.3%
여행사 2
 
2.3%
하나 2
 
2.3%
우리여행사 2
 
2.3%
주)아이보트 2
 
2.3%
홈플러스 1
 
1.2%
상봉점 1
 
1.2%
주)서강여행사 1
 
1.2%
주)더불어 1
 
1.2%
Other values (62) 62
72.1%
2024-05-11T03:36:52.639839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 41
 
8.0%
) 29
 
5.7%
( 28
 
5.5%
어 23
 
4.5%
사 23
 
4.5%
이 22
 
4.3%
투 21
 
4.1%
21
 
4.1%
여 18
 
3.5%
행 18
 
3.5%
Other values (129) 269
52.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 433
84.4%
Close Punctuation 29
 
5.7%
Open Punctuation 28
 
5.5%
Space Separator 21
 
4.1%
Uppercase Letter 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 41
 
9.5%
어 23
 
5.3%
사 23
 
5.3%
이 22
 
5.1%
투 21
 
4.8%
여 18
 
4.2%
행 18
 
4.2%
에 12
 
2.8%
트 12
 
2.8%
회 10
 
2.3%
Other values (124) 233
53.8%
Uppercase Letter
ValueCountFrequency (%)
M 1
50.0%
N 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Space Separator
ValueCountFrequency (%)
21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 433
84.4%
Common 78
 
15.2%
Latin 2
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 41
 
9.5%
어 23
 
5.3%
사 23
 
5.3%
이 22
 
5.1%
투 21
 
4.8%
여 18
 
4.2%
행 18
 
4.2%
에 12
 
2.8%
트 12
 
2.8%
회 10
 
2.3%
Other values (124) 233
53.8%
Common
ValueCountFrequency (%)
) 29
37.2%
( 28
35.9%
21
26.9%
Latin
ValueCountFrequency (%)
M 1
50.0%
N 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 433
84.4%
ASCII 80
 
15.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 41
 
9.5%
어 23
 
5.3%
사 23
 
5.3%
이 22
 
5.1%
투 21
 
4.8%
여 18
 
4.2%
행 18
 
4.2%
에 12
 
2.8%
트 12
 
2.8%
회 10
 
2.3%
Other values (124) 233
53.8%
ASCII
ValueCountFrequency (%)
) 29
36.2%
( 28
35.0%
21
26.2%
M 1
 
1.2%
N 1
 
1.2%

최종수정일자
Date

UNIQUE 

Distinct65
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size652.0 B
Minimum2009-07-30 14:55:11
Maximum2024-03-18 11:19:38
2024-05-11T03:36:53.115653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:36:53.588059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
U
38 
I
27 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 38
58.5%
I 27
41.5%

Length

2024-05-11T03:36:53.984128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:36:54.332894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 38
58.5%
i 27
41.5%

데이터갱신일자
Date

Distinct33
Distinct (%)50.8%
Missing0
Missing (%)0.0%
Memory size652.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-02 23:06:00
2024-05-11T03:36:54.624031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:36:54.909959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

좌표정보(X)
Real number (ℝ)

Distinct56
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean207481.29
Minimum206459.71
Maximum208842.71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2024-05-11T03:36:55.220448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum206459.71
5-th percentile206625.99
Q1206901.17
median207337.01
Q3208112.86
95-th percentile208555.44
Maximum208842.71
Range2383.0022
Interquartile range (IQR)1211.6928

Descriptive statistics

Standard deviation665.07798
Coefficient of variation (CV)0.0032054842
Kurtosis-1.219569
Mean207481.29
Median Absolute Deviation (MAD)528.09814
Skewness0.29814219
Sum13486284
Variance442328.72
MonotonicityNot monotonic
2024-05-11T03:36:55.617059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
207169.50134191 3
 
4.6%
207660.883688474 2
 
3.1%
206758.410389697 2
 
3.1%
208208.786684767 2
 
3.1%
208112.860200669 2
 
3.1%
208157.627084163 2
 
3.1%
206956.392278972 2
 
3.1%
207090.86716546 2
 
3.1%
206821.108967706 1
 
1.5%
208032.945392027 1
 
1.5%
Other values (46) 46
70.8%
ValueCountFrequency (%)
206459.711379355 1
1.5%
206535.780486452 1
1.5%
206569.809839433 1
1.5%
206610.022271435 1
1.5%
206689.85488446 1
1.5%
206697.566769079 1
1.5%
206740.95977172 1
1.5%
206751.313659786 1
1.5%
206758.410389697 2
3.1%
206808.914669794 1
1.5%
ValueCountFrequency (%)
208842.713556665 1
1.5%
208826.107675012 1
1.5%
208651.657221522 1
1.5%
208574.566606995 1
1.5%
208478.949850502 1
1.5%
208311.349900762 1
1.5%
208294.31154469 1
1.5%
208269.433219878 1
1.5%
208267.592391698 1
1.5%
208231.356512091 1
1.5%

좌표정보(Y)
Real number (ℝ)

Distinct56
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean455379.87
Minimum453072.94
Maximum457183.64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2024-05-11T03:36:56.041337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum453072.94
5-th percentile453167.54
Q1454463.26
median455196.97
Q3456472.22
95-th percentile457110.68
Maximum457183.64
Range4110.7018
Interquartile range (IQR)2008.9597

Descriptive statistics

Standard deviation1228.6145
Coefficient of variation (CV)0.0026979991
Kurtosis-0.95631634
Mean455379.87
Median Absolute Deviation (MAD)788.42848
Skewness-0.063396804
Sum29599692
Variance1509493.6
MonotonicityNot monotonic
2024-05-11T03:36:56.442549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
454408.543429514 3
 
4.6%
454911.110252938 2
 
3.1%
456472.216329929 2
 
3.1%
457054.793655589 2
 
3.1%
457113.638411288 2
 
3.1%
454463.256663599 2
 
3.1%
455196.971910524 2
 
3.1%
453072.936040777 2
 
3.1%
456096.359567266 1
 
1.5%
453151.093936537 1
 
1.5%
Other values (46) 46
70.8%
ValueCountFrequency (%)
453072.936040777 2
3.1%
453151.093936537 1
 
1.5%
453161.703512073 1
 
1.5%
453190.864383804 1
 
1.5%
453246.44067727 1
 
1.5%
454084.635304618 1
 
1.5%
454099.766448791 1
 
1.5%
454135.941354659 1
 
1.5%
454246.446950923 1
 
1.5%
454408.543429514 3
4.6%
ValueCountFrequency (%)
457183.637796144 1
1.5%
457135.056491015 1
1.5%
457113.638411288 2
3.1%
457098.851430145 1
1.5%
457087.27123277 1
1.5%
457078.075826696 1
1.5%
457054.793655589 2
3.1%
457021.162035231 1
1.5%
457009.141589479 1
1.5%
456949.35802282 1
1.5%

문화체육업종명
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
국내외여행업
43 
<NA>
22 

Length

Max length6
Median length6
Mean length5.3230769
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내외여행업 43
66.2%
<NA> 22
33.8%

Length

2024-05-11T03:36:56.880054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:36:57.224630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내외여행업 43
66.2%
na 22
33.8%

문화사업자구분명
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
49 
관광사업
16 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 49
75.4%
관광사업 16
 
24.6%

Length

2024-05-11T03:36:57.802814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:36:58.118392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
75.4%
관광사업 16
 
24.6%

지역구분명
Categorical

Distinct6
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
46 
일반주거지역
7 
준주거지역
 
4
주거지역
 
3
일반상업지역
 
3

Length

Max length6
Median length4
Mean length4.4307692
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 46
70.8%
일반주거지역 7
 
10.8%
준주거지역 4
 
6.2%
주거지역 3
 
4.6%
일반상업지역 3
 
4.6%
근린상업지역 2
 
3.1%

Length

2024-05-11T03:36:58.431036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:36:58.885804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 46
70.8%
일반주거지역 7
 
10.8%
준주거지역 4
 
6.2%
주거지역 3
 
4.6%
일반상업지역 3
 
4.6%
근린상업지역 2
 
3.1%

총층수
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)45.0%
Missing45
Missing (%)69.2%
Infinite0
Infinite (%)0.0%
Mean7.15
Minimum2
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2024-05-11T03:36:59.203667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4.85
Q15
median6
Q38
95-th percentile13.25
Maximum18
Range16
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.437793
Coefficient of variation (CV)0.48081022
Kurtosis4.7085873
Mean7.15
Median Absolute Deviation (MAD)1
Skewness1.8796182
Sum143
Variance11.818421
MonotonicityNot monotonic
2024-05-11T03:36:59.672613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
5 6
 
9.2%
6 4
 
6.2%
7 3
 
4.6%
8 2
 
3.1%
9 1
 
1.5%
13 1
 
1.5%
2 1
 
1.5%
10 1
 
1.5%
18 1
 
1.5%
(Missing) 45
69.2%
ValueCountFrequency (%)
2 1
 
1.5%
5 6
9.2%
6 4
6.2%
7 3
4.6%
8 2
 
3.1%
9 1
 
1.5%
10 1
 
1.5%
13 1
 
1.5%
18 1
 
1.5%
ValueCountFrequency (%)
18 1
 
1.5%
13 1
 
1.5%
10 1
 
1.5%
9 1
 
1.5%
8 2
 
3.1%
7 3
4.6%
6 4
6.2%
5 6
9.2%
2 1
 
1.5%

주변환경명
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
57 
기타
7 
학교정화(상대)
 
1

Length

Max length8
Median length4
Mean length3.8461538
Min length2

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 57
87.7%
기타 7
 
10.8%
학교정화(상대) 1
 
1.5%

Length

2024-05-11T03:37:00.177243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:37:00.530640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 57
87.7%
기타 7
 
10.8%
학교정화(상대 1
 
1.5%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

보험기관명
Categorical

Distinct10
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
34 
서울보증보험
12 
한국관광협회중앙회
5 
한국관광협회중앙회 여행공제회
4 
서울보증보험주식회사
 
3
Other values (5)
7 

Length

Max length20
Median length4
Mean length6.3846154
Min length4

Unique

Unique3 ?
Unique (%)4.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 34
52.3%
서울보증보험 12
 
18.5%
한국관광협회중앙회 5
 
7.7%
한국관광협회중앙회 여행공제회 4
 
6.2%
서울보증보험주식회사 3
 
4.6%
서울특별시관광협회 2
 
3.1%
한국관광협회 2
 
3.1%
서울보증보험(3천만원) 1
 
1.5%
서울보증보험(220-86-66032) 1
 
1.5%
한국관광협회 중앙회 1
 
1.5%

Length

2024-05-11T03:37:00.841072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:37:01.191182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 34
48.6%
서울보증보험 12
 
17.1%
한국관광협회중앙회 9
 
12.9%
여행공제회 4
 
5.7%
서울보증보험주식회사 3
 
4.3%
한국관광협회 3
 
4.3%
서울특별시관광협회 2
 
2.9%
서울보증보험(3천만원 1
 
1.4%
서울보증보험(220-86-66032 1
 
1.4%
중앙회 1
 
1.4%

건물용도명
Categorical

Distinct6
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
44 
근린생활시설
9 
사무실
8 
아파트
 
2
유통시설
 
1

Length

Max length12
Median length4
Mean length4.2461538
Min length3

Unique

Unique2 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 44
67.7%
근린생활시설 9
 
13.8%
사무실 8
 
12.3%
아파트 2
 
3.1%
유통시설 1
 
1.5%
다중주택(공동주택적용) 1
 
1.5%

Length

2024-05-11T03:37:01.745743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:37:02.196241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
67.7%
근린생활시설 9
 
13.8%
사무실 8
 
12.3%
아파트 2
 
3.1%
유통시설 1
 
1.5%
다중주택(공동주택적용 1
 
1.5%

지상층수
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)38.1%
Missing44
Missing (%)67.7%
Infinite0
Infinite (%)0.0%
Mean6.7142857
Minimum2
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2024-05-11T03:37:02.788457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q14
median5
Q36
95-th percentile15
Maximum35
Range33
Interquartile range (IQR)2

Descriptive statistics

Standard deviation7.0508358
Coefficient of variation (CV)1.0501245
Kurtosis14.163647
Mean6.7142857
Median Absolute Deviation (MAD)1
Skewness3.5880791
Sum141
Variance49.714286
MonotonicityNot monotonic
2024-05-11T03:37:03.129080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
5 6
 
9.2%
4 5
 
7.7%
2 3
 
4.6%
6 2
 
3.1%
8 2
 
3.1%
35 1
 
1.5%
7 1
 
1.5%
15 1
 
1.5%
(Missing) 44
67.7%
ValueCountFrequency (%)
2 3
4.6%
4 5
7.7%
5 6
9.2%
6 2
 
3.1%
7 1
 
1.5%
8 2
 
3.1%
15 1
 
1.5%
35 1
 
1.5%
ValueCountFrequency (%)
35 1
 
1.5%
15 1
 
1.5%
8 2
 
3.1%
7 1
 
1.5%
6 2
 
3.1%
5 6
9.2%
4 5
7.7%
2 3
4.6%

지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)31.6%
Missing46
Missing (%)70.8%
Infinite0
Infinite (%)0.0%
Mean2.1052632
Minimum0
Maximum8
Zeros1
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size717.0 B
2024-05-11T03:37:03.500581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.9
Q11
median1
Q33
95-th percentile5.3
Maximum8
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.9970739
Coefficient of variation (CV)0.94861009
Kurtosis3.188489
Mean2.1052632
Median Absolute Deviation (MAD)0
Skewness1.8031815
Sum40
Variance3.9883041
MonotonicityNot monotonic
2024-05-11T03:37:03.997079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 11
 
16.9%
3 3
 
4.6%
5 2
 
3.1%
0 1
 
1.5%
2 1
 
1.5%
8 1
 
1.5%
(Missing) 46
70.8%
ValueCountFrequency (%)
0 1
 
1.5%
1 11
16.9%
2 1
 
1.5%
3 3
 
4.6%
5 2
 
3.1%
8 1
 
1.5%
ValueCountFrequency (%)
8 1
 
1.5%
5 2
 
3.1%
3 3
 
4.6%
2 1
 
1.5%
1 11
16.9%
0 1
 
1.5%

객실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

건축연면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

영문상호명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

영문상호주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

선박총톤수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

선박척수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

무대면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

좌석수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

회의실별동시수용인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

시설면적
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)100.0%
Missing51
Missing (%)78.5%
Infinite0
Infinite (%)0.0%
Mean93.815
Minimum20.6
Maximum288
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2024-05-11T03:37:04.391564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20.6
5-th percentile28.01
Q143.2575
median81.9
Q3114.775
95-th percentile200.6595
Maximum288
Range267.4
Interquartile range (IQR)71.5175

Descriptive statistics

Standard deviation68.652153
Coefficient of variation (CV)0.73178226
Kurtosis4.4519364
Mean93.815
Median Absolute Deviation (MAD)40.345
Skewness1.8115812
Sum1313.41
Variance4713.1181
MonotonicityNot monotonic
2024-05-11T03:37:04.831882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
84.0 1
 
1.5%
153.63 1
 
1.5%
132.0 1
 
1.5%
75.0 1
 
1.5%
118.7 1
 
1.5%
79.8 1
 
1.5%
33.3 1
 
1.5%
20.6 1
 
1.5%
96.37 1
 
1.5%
288.0 1
 
1.5%
Other values (4) 4
 
6.2%
(Missing) 51
78.5%
ValueCountFrequency (%)
20.6 1
1.5%
32.0 1
1.5%
33.3 1
1.5%
38.01 1
1.5%
59.0 1
1.5%
75.0 1
1.5%
79.8 1
1.5%
84.0 1
1.5%
96.37 1
1.5%
103.0 1
1.5%
ValueCountFrequency (%)
288.0 1
1.5%
153.63 1
1.5%
132.0 1
1.5%
118.7 1
1.5%
103.0 1
1.5%
96.37 1
1.5%
84.0 1
1.5%
79.8 1
1.5%
75.0 1
1.5%
59.0 1
1.5%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

놀이시설수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

기획여행보험시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
64 
20180928
 
1

Length

Max length8
Median length4
Mean length4.0615385
Min length4

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 64
98.5%
20180928 1
 
1.5%

Length

2024-05-11T03:37:05.333633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:37:05.691043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 64
98.5%
20180928 1
 
1.5%

기획여행보험종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
64 
20190928
 
1

Length

Max length8
Median length4
Mean length4.0615385
Min length4

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 64
98.5%
20190928 1
 
1.5%

Length

2024-05-11T03:37:06.089007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:37:06.567312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 64
98.5%
20190928 1
 
1.5%

자본금
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)36.1%
Missing29
Missing (%)44.6%
Infinite0
Infinite (%)0.0%
Mean85787272
Minimum30000000
Maximum2.5 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2024-05-11T03:37:07.023339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30000000
5-th percentile41313656
Q160000000
median90000000
Q31 × 108
95-th percentile1.1446288 × 108
Maximum2.5 × 108
Range2.2 × 108
Interquartile range (IQR)40000000

Descriptive statistics

Standard deviation37791593
Coefficient of variation (CV)0.44052681
Kurtosis9.564775
Mean85787272
Median Absolute Deviation (MAD)12558584
Skewness2.3115362
Sum3.0883418 × 109
Variance1.4282045 × 1015
MonotonicityNot monotonic
2024-05-11T03:37:07.458392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
100000000 13
20.0%
60000000 10
 
15.4%
90000000 3
 
4.6%
150000000 1
 
1.5%
102617169 1
 
1.5%
250000000 1
 
1.5%
80000000 1
 
1.5%
45000000 1
 
1.5%
30000000 1
 
1.5%
73000000 1
 
1.5%
Other values (3) 3
 
4.6%
(Missing) 29
44.6%
ValueCountFrequency (%)
30000000 1
 
1.5%
30254626 1
 
1.5%
45000000 1
 
1.5%
54970000 1
 
1.5%
60000000 10
15.4%
73000000 1
 
1.5%
80000000 1
 
1.5%
90000000 3
 
4.6%
100000000 13
20.0%
102500000 1
 
1.5%
ValueCountFrequency (%)
250000000 1
 
1.5%
150000000 1
 
1.5%
102617169 1
 
1.5%
102500000 1
 
1.5%
100000000 13
20.0%
90000000 3
 
4.6%
80000000 1
 
1.5%
73000000 1
 
1.5%
60000000 10
15.4%
54970000 1
 
1.5%

보험시작일자
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)100.0%
Missing32
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean20148455
Minimum20080416
Maximum20200820
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2024-05-11T03:37:07.945840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080416
5-th percentile20086546
Q120120731
median20150717
Q320180512
95-th percentile20200536
Maximum20200820
Range120404
Interquartile range (IQR)59781

Descriptive statistics

Standard deviation37739.778
Coefficient of variation (CV)0.0018730854
Kurtosis-1.0014741
Mean20148455
Median Absolute Deviation (MAD)29986
Skewness-0.21999612
Sum6.6489902 × 108
Variance1.4242908 × 109
MonotonicityNot monotonic
2024-05-11T03:37:08.556659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
20200425 1
 
1.5%
20080416 1
 
1.5%
20160811 1
 
1.5%
20140530 1
 
1.5%
20160202 1
 
1.5%
20160217 1
 
1.5%
20190402 1
 
1.5%
20170928 1
 
1.5%
20190826 1
 
1.5%
20181201 1
 
1.5%
Other values (23) 23
35.4%
(Missing) 32
49.2%
ValueCountFrequency (%)
20080416 1
1.5%
20081213 1
1.5%
20090102 1
1.5%
20090424 1
1.5%
20100603 1
1.5%
20110209 1
1.5%
20110225 1
1.5%
20110709 1
1.5%
20120731 1
1.5%
20130428 1
1.5%
ValueCountFrequency (%)
20200820 1
1.5%
20200703 1
1.5%
20200425 1
1.5%
20200414 1
1.5%
20200219 1
1.5%
20190826 1
1.5%
20190402 1
1.5%
20181201 1
1.5%
20180512 1
1.5%
20180202 1
1.5%

보험종료일자
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)100.0%
Missing32
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean20159996
Minimum20090416
Maximum20240511
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2024-05-11T03:37:09.034187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090416
5-th percentile20096545
Q120130731
median20160716
Q320191130
95-th percentile20210749
Maximum20240511
Range150095
Interquartile range (IQR)60399

Descriptive statistics

Standard deviation40009.251
Coefficient of variation (CV)0.0019845862
Kurtosis-0.83363585
Mean20159996
Median Absolute Deviation (MAD)30414
Skewness-0.037740405
Sum6.6527986 × 108
Variance1.6007401 × 109
MonotonicityNot monotonic
2024-05-11T03:37:09.498024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
20210424 1
 
1.5%
20090416 1
 
1.5%
20170811 1
 
1.5%
20150530 1
 
1.5%
20171202 1
 
1.5%
20170216 1
 
1.5%
20200401 1
 
1.5%
20180928 1
 
1.5%
20200825 1
 
1.5%
20191130 1
 
1.5%
Other values (23) 23
35.4%
(Missing) 32
49.2%
ValueCountFrequency (%)
20090416 1
1.5%
20091212 1
1.5%
20100101 1
1.5%
20100424 1
1.5%
20110602 1
1.5%
20120209 1
1.5%
20120225 1
1.5%
20120709 1
1.5%
20130731 1
1.5%
20140427 1
1.5%
ValueCountFrequency (%)
20240511 1
1.5%
20210819 1
1.5%
20210703 1
1.5%
20210424 1
1.5%
20210413 1
1.5%
20210218 1
1.5%
20200825 1
1.5%
20200401 1
1.5%
20191130 1
1.5%
20190201 1
1.5%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

시설규모
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)100.0%
Missing51
Missing (%)78.5%
Infinite0
Infinite (%)0.0%
Mean93.857143
Minimum21
Maximum288
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2024-05-11T03:37:10.059700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21
5-th percentile28.15
Q143.25
median82
Q3115
95-th percentile200.9
Maximum288
Range267
Interquartile range (IQR)71.75

Descriptive statistics

Standard deviation68.669618
Coefficient of variation (CV)0.73163977
Kurtosis4.4373757
Mean93.857143
Median Absolute Deviation (MAD)40.5
Skewness1.8101747
Sum1314
Variance4715.5165
MonotonicityNot monotonic
2024-05-11T03:37:10.584012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
84 1
 
1.5%
154 1
 
1.5%
132 1
 
1.5%
75 1
 
1.5%
119 1
 
1.5%
80 1
 
1.5%
33 1
 
1.5%
21 1
 
1.5%
96 1
 
1.5%
288 1
 
1.5%
Other values (4) 4
 
6.2%
(Missing) 51
78.5%
ValueCountFrequency (%)
21 1
1.5%
32 1
1.5%
33 1
1.5%
38 1
1.5%
59 1
1.5%
75 1
1.5%
80 1
1.5%
84 1
1.5%
96 1
1.5%
103 1
1.5%
ValueCountFrequency (%)
288 1
1.5%
154 1
1.5%
132 1
1.5%
119 1
1.5%
103 1
1.5%
96 1
1.5%
84 1
1.5%
80 1
1.5%
75 1
1.5%
59 1
1.5%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03060000CDFI226002199600000119960620<NA>3폐업3폐업20110214<NA><NA><NA><NA><NA>131859서울특별시 중랑구 상봉동 101번지 이지팰리스204<NA><NA>(주)서강여행사2011-02-14 10:20:52I2018-08-31 23:59:59.0<NA>207660.883688454911.110253국내외여행업관광사업<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><NA>2008121320091212<NA><NA>
13060000CDFI226002199900000119990422<NA>4취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA>438-6844<NA>131819서울특별시 중랑구 면목동 132-1번지서울특별시 중랑구 봉우재로 114 (면목동)131819우현항공여행사 (국외여행업)2011-10-30 13:55:25I2018-08-31 23:59:59.0<NA>207502.833446454449.974243국내외여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23060000CDFI22600220010000012001-01-16<NA>1영업/정상13영업중<NA><NA><NA><NA>02-435-5858<NA>131-875서울특별시 중랑구 중화동 283-3 2층서울특별시 중랑구 동일로 838 (중화동)02047엘에스항공여행사2024-01-30 18:10:03U2023-12-02 00:01:00.0<NA>206921.807525455888.451631<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33060000CDFI226002200300000420030609<NA>4취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>495-2900<NA>131857서울특별시 중랑구 상봉동 99-3번지서울특별시 중랑구 망우로 323 (상봉동)131858(주)이에이이2011-10-30 14:02:03I2018-08-31 23:59:59.0<NA>207720.02485455012.413282국내외여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43060000CDFI226002200300000520030825<NA>4취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>2208-0444<NA>131861서울특별시 중랑구 상봉동 136-87번지 2층서울특별시 중랑구 망우로30길 30 (상봉동)131861(주)에이전시티케이2011-10-30 14:02:51I2018-08-31 23:59:59.0<NA>206535.780486454418.977918국내외여행업관광사업<NA><NA><NA><NA><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>
53060000CDFI226002200500000220050607<NA>3폐업3폐업20090528<NA><NA><NA><NA><NA>131822서울특별시 중랑구 면목동 167-10번지<NA><NA>주) 와와 여행사2011-03-28 17:41:04I2018-08-31 23:59:59.0<NA>207129.579669453246.440677국내외여행업관광사업<NA>6<NA><NA><NA>근린생활시설51<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>
63060000CDFI226002200500000320050824<NA>3폐업3폐업20200825<NA><NA><NA><NA><NA>131848서울특별시 중랑구 묵동 166-29서울특별시 중랑구 중랑역로 269-6 (묵동)131848(주)해피 탑항공2020-08-24 09:45:56U2020-08-26 02:40:00.0<NA>206810.201158457135.056491국내외여행업관광사업<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>1000000002019082620200825<NA><NA>
73060000CDFI22600220070000012007-01-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 중화동 286-25 대신빌딩 406호서울특별시 중랑구 동일로 802, 대신빌딩 406호 (중화동)02051이화여행사2024-01-09 18:22:24U2023-11-30 23:01:00.0<NA>206971.00348455523.908863<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83060000CDFI22600220070000022007-02-28<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3421-1373<NA><NA>서울특별시 중랑구 신내동 661서울특별시 중랑구 봉화산로 189, 408호 (신내동, 신내대명아파트상가)02043애플트리2024-01-05 14:02:25U2023-12-01 00:07:00.0<NA>208231.356512456138.417215<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93060000CDFI22600220070000032007-04-05<NA>5제외/삭제/전출15전출2023-09-06<NA><NA><NA>02-439-0013<NA>131-861서울특별시 중랑구 상봉동 129-9 중랑쇼핑센터 9호서울특별시 중랑구 망우로32길 23 (상봉동)02121해랑여행사2023-09-06 14:20:02U2022-12-09 00:08:00.0<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>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
553060000CDFI226002202000000420200416<NA>1영업/정상13영업중<NA><NA><NA><NA>070-4904-2785<NA><NA>서울특별시 중랑구 상봉동 125-68서울특별시 중랑구 봉우재로 79, 화성빌딩 6층 (상봉동)02139주식회사 아이보트투어2020-07-03 17:47:43U2020-07-05 02:40:00.0<NA>207169.501342454408.54343국내외여행업<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>
563060000CDFI22600220210000012012-09-18<NA>3폐업3폐업2022-12-31<NA><NA><NA>02-737-1121<NA><NA>서울특별시 중랑구 묵동 245-6 가동 c-48호서울특별시 중랑구 동일로 859, 가동 2층 c-48호 (묵동)02010(주)아이허니문투어2024-02-06 18:22:45U2023-12-02 00:08:00.0<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>
573060000CDFI22600220210000022021-12-30<NA>1영업/정상13영업중<NA><NA><NA><NA>0507-1361-3268<NA><NA>서울특별시 중랑구 면목동 88-60 동방빌딩서울특별시 중랑구 상봉로 73, 동방빌딩 2층 (면목동)02157피크타임2023-11-13 22:02:23U2022-10-31 23:05:00.0<NA>208157.627084454463.256664<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
583060000CDFI22600220220000012016-05-31<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 묵동 239-77 블루포스서울특별시 중랑구 동일로 897, 블루포스 7층 (묵동)02006아지트아이슬란드2024-01-09 18:18:53U2023-11-30 23:01:00.0<NA>206758.41039456472.21633<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
593060000CDFI22600220230000012017-04-14<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2214-8283<NA><NA>서울특별시 중랑구 면목동 168-2 홈플러스서울특별시 중랑구 사가정로 332, 홈플러스 1층 (면목동)02236(주)연우투어2023-04-04 11:23:28I2022-12-04 00:06:00.0<NA>207090.867165453072.936041<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
603060000CDFI22600220230000022023-04-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 면목동 168-2 홈플러스서울특별시 중랑구 사가정로 332, 홈플러스 1층 (면목동)02236(주)연우투어2023-04-04 17:04:00I2022-12-04 00:06:00.0<NA>207090.867165453072.936041<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
613060000CDFI22600220230000032023-06-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 묵동 239-103서울특별시 중랑구 동일로157길 20-4, 2층 (묵동)02006홀릭여행사2024-01-10 20:51:38U2023-11-30 23:02:00.0<NA>206697.566769456414.395216<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
623060000CDFI22600220230000042023-06-23<NA>1영업/정상13영업중<NA><NA><NA><NA>0507-1375-5835<NA><NA>서울특별시 중랑구 묵동 239-77 블루포스서울특별시 중랑구 동일로 897, 블루포스 8층 849호 (묵동)02006세이브투어2024-01-09 18:15:03U2023-11-30 23:01:00.0<NA>206758.41039456472.21633<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
633060000CDFI22600220230000052019-06-17<NA>1영업/정상13영업중<NA><NA><NA><NA>02-434-0280<NA><NA>서울특별시 중랑구 중화동 305-18서울특별시 중랑구 동일로 809, 205호 (중화동)02017주식회사 더플랜커뮤니케이션2024-01-12 18:33:01U2023-11-30 23:04:00.0<NA>206901.167411455585.331211<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
643060000CDFI22600220240000012024-03-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 중화동 301-24서울특별시 중랑구 동일로 763, 1층 (중화동)02103테마투어2024-03-13 16:04:45I2023-12-02 23:06:00.0<NA>206971.454193455140.724903<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>