Overview

Dataset statistics

Number of variables60
Number of observations81
Missing cells2080
Missing cells (%)42.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory41.5 KiB
Average record size in memory524.6 B

Variable types

Categorical21
Text6
DateTime4
Unsupported22
Numeric7

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
Author중구
URLhttps://data.seoul.go.kr/dataList/OA-17168/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
건물용도명 is highly imbalanced (60.1%)Imbalance
영문상호주소 is highly imbalanced (50.6%)Imbalance
인허가취소일자 has 81 (100.0%) missing valuesMissing
폐업일자 has 67 (82.7%) missing valuesMissing
휴업시작일자 has 81 (100.0%) missing valuesMissing
휴업종료일자 has 81 (100.0%) missing valuesMissing
재개업일자 has 81 (100.0%) missing valuesMissing
전화번호 has 13 (16.0%) missing valuesMissing
소재지면적 has 81 (100.0%) missing valuesMissing
소재지우편번호 has 56 (69.1%) missing valuesMissing
도로명우편번호 has 15 (18.5%) missing valuesMissing
업태구분명 has 81 (100.0%) missing valuesMissing
지역구분명 has 81 (100.0%) missing valuesMissing
주변환경명 has 81 (100.0%) missing valuesMissing
제작취급품목내용 has 81 (100.0%) missing valuesMissing
보험기관명 has 81 (100.0%) missing valuesMissing
영문상호명 has 60 (74.1%) missing valuesMissing
선박제원 has 81 (100.0%) missing valuesMissing
기념품종류 has 81 (100.0%) missing valuesMissing
시설면적 has 29 (35.8%) missing valuesMissing
놀이기구수내역 has 81 (100.0%) missing valuesMissing
방송시설유무 has 81 (100.0%) missing valuesMissing
발전시설유무 has 81 (100.0%) missing valuesMissing
의무실유무 has 81 (100.0%) missing valuesMissing
안내소유무 has 81 (100.0%) missing valuesMissing
기획여행보험시작일자 has 81 (100.0%) missing valuesMissing
기획여행보험종료일자 has 81 (100.0%) missing valuesMissing
자본금 has 29 (35.8%) missing valuesMissing
보험시작일자 has 81 (100.0%) missing valuesMissing
보험종료일자 has 81 (100.0%) missing valuesMissing
부대시설내역 has 81 (100.0%) missing valuesMissing
시설규모 has 29 (35.8%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 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
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주변환경명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험기관명 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
기념품종류 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
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
보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험종료일자 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 38 (46.9%) zerosZeros
자본금 has 18 (22.2%) zerosZeros
시설규모 has 38 (46.9%) zerosZeros

Reproduction

Analysis started2024-04-06 11:10:06.658410
Analysis finished2024-04-06 11:10:07.790243
Duration1.13 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size780.0 B
3010000
81 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3010000
2nd row3010000
3rd row3010000
4th row3010000
5th row3010000

Common Values

ValueCountFrequency (%)
3010000 81
100.0%

Length

2024-04-06T20:10:07.899969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:10:08.063921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3010000 81
100.0%

관리번호
Text

UNIQUE 

Distinct81
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size780.0 B
2024-04-06T20:10:08.378041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1620
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

Unique81 ?
Unique (%)100.0%

Sample

1st rowCDFI2263101988000001
2nd rowCDFI2263101991000001
3rd rowCDFI2263101991000002
4th rowCDFI2263101991000003
5th rowCDFI2263101999000001
ValueCountFrequency (%)
cdfi2263101988000001 1
 
1.2%
cdfi2263102018000001 1
 
1.2%
cdfi2263102021000005 1
 
1.2%
cdfi2263102021000004 1
 
1.2%
cdfi2263102021000003 1
 
1.2%
cdfi2263102021000002 1
 
1.2%
cdfi2263102021000001 1
 
1.2%
cdfi2263102020000006 1
 
1.2%
cdfi2263102020000005 1
 
1.2%
cdfi2263102020000004 1
 
1.2%
Other values (71) 71
87.7%
2024-04-06T20:10:08.949440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 580
35.8%
2 297
18.3%
1 152
 
9.4%
3 102
 
6.3%
6 91
 
5.6%
C 81
 
5.0%
D 81
 
5.0%
F 81
 
5.0%
I 81
 
5.0%
9 28
 
1.7%
Other values (4) 46
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1296
80.0%
Uppercase Letter 324
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 580
44.8%
2 297
22.9%
1 152
 
11.7%
3 102
 
7.9%
6 91
 
7.0%
9 28
 
2.2%
7 14
 
1.1%
4 12
 
0.9%
5 12
 
0.9%
8 8
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
C 81
25.0%
D 81
25.0%
F 81
25.0%
I 81
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1296
80.0%
Latin 324
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 580
44.8%
2 297
22.9%
1 152
 
11.7%
3 102
 
7.9%
6 91
 
7.0%
9 28
 
2.2%
7 14
 
1.1%
4 12
 
0.9%
5 12
 
0.9%
8 8
 
0.6%
Latin
ValueCountFrequency (%)
C 81
25.0%
D 81
25.0%
F 81
25.0%
I 81
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1620
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 580
35.8%
2 297
18.3%
1 152
 
9.4%
3 102
 
6.3%
6 91
 
5.6%
C 81
 
5.0%
D 81
 
5.0%
F 81
 
5.0%
I 81
 
5.0%
9 28
 
1.7%
Other values (4) 46
 
2.8%

인허가일자
Date

UNIQUE 

Distinct81
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size780.0 B
Minimum1988-06-09 00:00:00
Maximum2023-07-14 00:00:00
2024-04-06T20:10:09.197042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:10:09.473991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing81
Missing (%)100.0%
Memory size861.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size780.0 B
1
67 
3
8 
5
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 67
82.7%
3 8
 
9.9%
5 6
 
7.4%

Length

2024-04-06T20:10:09.706364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:10:09.895405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 67
82.7%
3 8
 
9.9%
5 6
 
7.4%

영업상태명
Categorical

Distinct3
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size780.0 B
영업/정상
67 
폐업
8 
제외/삭제/전출
 
6

Length

Max length8
Median length5
Mean length4.9259259
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 67
82.7%
폐업 8
 
9.9%
제외/삭제/전출 6
 
7.4%

Length

2024-04-06T20:10:10.112430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:10:10.294226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 67
82.7%
폐업 8
 
9.9%
제외/삭제/전출 6
 
7.4%

상세영업상태코드
Categorical

Distinct3
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size780.0 B
13
67 
3
8 
15
 
6

Length

Max length2
Median length2
Mean length1.9012346
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 67
82.7%
3 8
 
9.9%
15 6
 
7.4%

Length

2024-04-06T20:10:10.508551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:10:10.683411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 67
82.7%
3 8
 
9.9%
15 6
 
7.4%

상세영업상태명
Categorical

Distinct3
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size780.0 B
영업중
67 
폐업
8 
전출
 
6

Length

Max length3
Median length3
Mean length2.8271605
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 67
82.7%
폐업 8
 
9.9%
전출 6
 
7.4%

Length

2024-04-06T20:10:10.882884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:10:11.060803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 67
82.7%
폐업 8
 
9.9%
전출 6
 
7.4%

폐업일자
Date

MISSING 

Distinct14
Distinct (%)100.0%
Missing67
Missing (%)82.7%
Memory size780.0 B
Minimum2008-01-02 00:00:00
Maximum2024-03-06 00:00:00
2024-04-06T20:10:11.265963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:10:11.462730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing81
Missing (%)100.0%
Memory size861.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing81
Missing (%)100.0%
Memory size861.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing81
Missing (%)100.0%
Memory size861.0 B

전화번호
Text

MISSING 

Distinct67
Distinct (%)98.5%
Missing13
Missing (%)16.0%
Memory size780.0 B
2024-04-06T20:10:11.915712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.132353
Min length8

Characters and Unicode

Total characters689
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

Unique66 ?
Unique (%)97.1%

Sample

1st row771-3100
2nd row726-5632
3rd row2264-3046
4th row753-5051
5th row773-6422
ValueCountFrequency (%)
02-2268-2916 2
 
2.9%
07042635518 1
 
1.4%
0263660715 1
 
1.4%
1899-4241 1
 
1.4%
0222756199 1
 
1.4%
027222693 1
 
1.4%
027570981 1
 
1.4%
771-3100 1
 
1.4%
527-9240 1
 
1.4%
02-757-6161 1
 
1.4%
Other values (58) 58
84.1%
2024-04-06T20:10:12.569250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 116
16.8%
2 114
16.5%
- 79
11.5%
6 63
9.1%
7 60
8.7%
5 57
8.3%
1 55
8.0%
3 44
 
6.4%
4 37
 
5.4%
9 32
 
4.6%
Other values (2) 32
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 608
88.2%
Dash Punctuation 79
 
11.5%
Space Separator 2
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 116
19.1%
2 114
18.8%
6 63
10.4%
7 60
9.9%
5 57
9.4%
1 55
9.0%
3 44
 
7.2%
4 37
 
6.1%
9 32
 
5.3%
8 30
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 79
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 689
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 116
16.8%
2 114
16.5%
- 79
11.5%
6 63
9.1%
7 60
8.7%
5 57
8.3%
1 55
8.0%
3 44
 
6.4%
4 37
 
5.4%
9 32
 
4.6%
Other values (2) 32
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 689
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 116
16.8%
2 114
16.5%
- 79
11.5%
6 63
9.1%
7 60
8.7%
5 57
8.3%
1 55
8.0%
3 44
 
6.4%
4 37
 
5.4%
9 32
 
4.6%
Other values (2) 32
 
4.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing81
Missing (%)100.0%
Memory size861.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)84.0%
Missing56
Missing (%)69.1%
Infinite0
Infinite (%)0.0%
Mean100419.28
Minimum100013
Maximum100867
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size861.0 B
2024-04-06T20:10:12.788292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100013
5-th percentile100032
Q1100130
median100230
Q3100791
95-th percentile100854
Maximum100867
Range854
Interquartile range (IQR)661

Descriptive statistics

Standard deviation339.04492
Coefficient of variation (CV)0.0033762931
Kurtosis-1.9297337
Mean100419.28
Median Absolute Deviation (MAD)198
Skewness0.19982421
Sum2510482
Variance114951.46
MonotonicityNot monotonic
2024-04-06T20:10:12.987826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
100170 2
 
2.5%
100706 2
 
2.5%
100032 2
 
2.5%
100814 2
 
2.5%
100042 1
 
1.2%
100130 1
 
1.2%
100250 1
 
1.2%
100192 1
 
1.2%
100013 1
 
1.2%
100861 1
 
1.2%
Other values (11) 11
 
13.6%
(Missing) 56
69.1%
ValueCountFrequency (%)
100013 1
1.2%
100032 2
2.5%
100042 1
1.2%
100070 1
1.2%
100120 1
1.2%
100130 1
1.2%
100170 2
2.5%
100191 1
1.2%
100192 1
1.2%
100195 1
1.2%
ValueCountFrequency (%)
100867 1
1.2%
100861 1
1.2%
100826 1
1.2%
100814 2
2.5%
100801 1
1.2%
100791 1
1.2%
100731 1
1.2%
100728 1
1.2%
100706 2
2.5%
100250 1
1.2%

지번주소
Text

Distinct73
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Memory size780.0 B
2024-04-06T20:10:13.548694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length33
Mean length25.308642
Min length14

Characters and Unicode

Total characters2050
Distinct characters151
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

Unique66 ?
Unique (%)81.5%

Sample

1st row서울특별시 중구 서소문동 58-7
2nd row서울특별시 중구 소공동 51
3rd row서울특별시 중구 수표동 27-1
4th row서울특별시 중구 순화동 5-2 순화빌딩
5th row서울특별시 중구 을지로1가 188-3 902호
ValueCountFrequency (%)
서울특별시 81
 
18.9%
중구 81
 
18.9%
필동1가 6
 
1.4%
순화동 6
 
1.4%
서소문동 6
 
1.4%
다동 5
 
1.2%
신당동 4
 
0.9%
남대문로5가 4
 
0.9%
정동 4
 
0.9%
place 4
 
0.9%
Other values (171) 228
53.1%
2024-04-06T20:10:14.361435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
391
19.1%
서 92
 
4.5%
1 85
 
4.1%
울 85
 
4.1%
시 83
 
4.0%
중 83
 
4.0%
별 81
 
4.0%
구 81
 
4.0%
특 81
 
4.0%
동 62
 
3.0%
Other values (141) 926
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1164
56.8%
Space Separator 391
 
19.1%
Decimal Number 384
 
18.7%
Dash Punctuation 53
 
2.6%
Lowercase Letter 27
 
1.3%
Uppercase Letter 21
 
1.0%
Other Punctuation 4
 
0.2%
Open Punctuation 3
 
0.1%
Close Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 92
 
7.9%
울 85
 
7.3%
시 83
 
7.1%
중 83
 
7.1%
별 81
 
7.0%
구 81
 
7.0%
특 81
 
7.0%
동 62
 
5.3%
가 42
 
3.6%
빌 31
 
2.7%
Other values (110) 443
38.1%
Decimal Number
ValueCountFrequency (%)
1 85
22.1%
2 60
15.6%
5 48
12.5%
3 41
10.7%
0 39
10.2%
9 27
 
7.0%
4 24
 
6.2%
8 22
 
5.7%
7 20
 
5.2%
6 18
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
C 5
23.8%
P 4
19.0%
L 3
14.3%
B 2
 
9.5%
E 2
 
9.5%
A 2
 
9.5%
N 1
 
4.8%
T 1
 
4.8%
R 1
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
e 9
33.3%
n 3
 
11.1%
t 3
 
11.1%
r 3
 
11.1%
c 3
 
11.1%
l 3
 
11.1%
a 3
 
11.1%
Space Separator
ValueCountFrequency (%)
391
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 53
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1164
56.8%
Common 838
40.9%
Latin 48
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 92
 
7.9%
울 85
 
7.3%
시 83
 
7.1%
중 83
 
7.1%
별 81
 
7.0%
구 81
 
7.0%
특 81
 
7.0%
동 62
 
5.3%
가 42
 
3.6%
빌 31
 
2.7%
Other values (110) 443
38.1%
Latin
ValueCountFrequency (%)
e 9
18.8%
C 5
10.4%
P 4
8.3%
n 3
 
6.2%
t 3
 
6.2%
L 3
 
6.2%
r 3
 
6.2%
c 3
 
6.2%
l 3
 
6.2%
a 3
 
6.2%
Other values (6) 9
18.8%
Common
ValueCountFrequency (%)
391
46.7%
1 85
 
10.1%
2 60
 
7.2%
- 53
 
6.3%
5 48
 
5.7%
3 41
 
4.9%
0 39
 
4.7%
9 27
 
3.2%
4 24
 
2.9%
8 22
 
2.6%
Other values (5) 48
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1164
56.8%
ASCII 886
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
391
44.1%
1 85
 
9.6%
2 60
 
6.8%
- 53
 
6.0%
5 48
 
5.4%
3 41
 
4.6%
0 39
 
4.4%
9 27
 
3.0%
4 24
 
2.7%
8 22
 
2.5%
Other values (21) 96
 
10.8%
Hangul
ValueCountFrequency (%)
서 92
 
7.9%
울 85
 
7.3%
시 83
 
7.1%
중 83
 
7.1%
별 81
 
7.0%
구 81
 
7.0%
특 81
 
7.0%
동 62
 
5.3%
가 42
 
3.6%
빌 31
 
2.7%
Other values (110) 443
38.1%

도로명주소
Text

Distinct79
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size780.0 B
2024-04-06T20:10:15.428380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length42
Mean length35.111111
Min length21

Characters and Unicode

Total characters2844
Distinct characters173
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

Unique77 ?
Unique (%)95.1%

Sample

1st row서울특별시 중구 서소문로 106 (서소문동)
2nd row서울특별시 중구 소공로 88 (소공동)
3rd row서울특별시 중구 을지로11길 15 (수표동)
4th row서울특별시 중구 서소문로 89 (순화동, 순화빌딩)
5th row서울특별시 중구 을지로 16 (을지로1가,902호)
ValueCountFrequency (%)
서울특별시 81
 
14.6%
중구 81
 
14.6%
서소문로 12
 
2.2%
퇴계로 10
 
1.8%
을지로 7
 
1.3%
서소문동 6
 
1.1%
필동1가 6
 
1.1%
100 6
 
1.1%
다동 5
 
0.9%
40 5
 
0.9%
Other values (237) 335
60.5%
2024-04-06T20:10:16.409871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
485
 
17.1%
1 115
 
4.0%
서 106
 
3.7%
로 101
 
3.6%
) 84
 
3.0%
, 84
 
3.0%
( 84
 
3.0%
울 84
 
3.0%
시 83
 
2.9%
중 83
 
2.9%
Other values (163) 1535
54.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1551
54.5%
Decimal Number 490
 
17.2%
Space Separator 485
 
17.1%
Close Punctuation 84
 
3.0%
Other Punctuation 84
 
3.0%
Open Punctuation 84
 
3.0%
Lowercase Letter 27
 
0.9%
Uppercase Letter 27
 
0.9%
Dash Punctuation 12
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 106
 
6.8%
로 101
 
6.5%
울 84
 
5.4%
시 83
 
5.4%
중 83
 
5.4%
특 81
 
5.2%
별 81
 
5.2%
구 81
 
5.2%
동 68
 
4.4%
호 46
 
3.0%
Other values (129) 737
47.5%
Uppercase Letter
ValueCountFrequency (%)
C 5
18.5%
B 4
14.8%
L 4
14.8%
P 4
14.8%
A 2
 
7.4%
E 2
 
7.4%
R 1
 
3.7%
T 1
 
3.7%
N 1
 
3.7%
D 1
 
3.7%
Other values (2) 2
 
7.4%
Decimal Number
ValueCountFrequency (%)
1 115
23.5%
0 76
15.5%
2 73
14.9%
3 49
10.0%
5 35
 
7.1%
9 32
 
6.5%
4 31
 
6.3%
7 27
 
5.5%
8 26
 
5.3%
6 26
 
5.3%
Lowercase Letter
ValueCountFrequency (%)
e 9
33.3%
r 3
 
11.1%
t 3
 
11.1%
a 3
 
11.1%
l 3
 
11.1%
n 3
 
11.1%
c 3
 
11.1%
Space Separator
ValueCountFrequency (%)
485
100.0%
Close Punctuation
ValueCountFrequency (%)
) 84
100.0%
Other Punctuation
ValueCountFrequency (%)
, 84
100.0%
Open Punctuation
ValueCountFrequency (%)
( 84
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1551
54.5%
Common 1239
43.6%
Latin 54
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 106
 
6.8%
로 101
 
6.5%
울 84
 
5.4%
시 83
 
5.4%
중 83
 
5.4%
특 81
 
5.2%
별 81
 
5.2%
구 81
 
5.2%
동 68
 
4.4%
호 46
 
3.0%
Other values (129) 737
47.5%
Latin
ValueCountFrequency (%)
e 9
16.7%
C 5
 
9.3%
B 4
 
7.4%
L 4
 
7.4%
P 4
 
7.4%
r 3
 
5.6%
t 3
 
5.6%
a 3
 
5.6%
l 3
 
5.6%
n 3
 
5.6%
Other values (9) 13
24.1%
Common
ValueCountFrequency (%)
485
39.1%
1 115
 
9.3%
) 84
 
6.8%
, 84
 
6.8%
( 84
 
6.8%
0 76
 
6.1%
2 73
 
5.9%
3 49
 
4.0%
5 35
 
2.8%
9 32
 
2.6%
Other values (5) 122
 
9.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1551
54.5%
ASCII 1293
45.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
485
37.5%
1 115
 
8.9%
) 84
 
6.5%
, 84
 
6.5%
( 84
 
6.5%
0 76
 
5.9%
2 73
 
5.6%
3 49
 
3.8%
5 35
 
2.7%
9 32
 
2.5%
Other values (24) 176
 
13.6%
Hangul
ValueCountFrequency (%)
서 106
 
6.8%
로 101
 
6.5%
울 84
 
5.4%
시 83
 
5.4%
중 83
 
5.4%
특 81
 
5.2%
별 81
 
5.2%
구 81
 
5.2%
동 68
 
4.4%
호 46
 
3.0%
Other values (129) 737
47.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct35
Distinct (%)53.0%
Missing15
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean7462.197
Minimum4505
Maximum100706
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size861.0 B
2024-04-06T20:10:16.655261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4505
5-th percentile4513
Q14519.25
median4551
Q34604.25
95-th percentile4637
Maximum100706
Range96201
Interquartile range (IQR)85

Descriptive statistics

Standard deviation16569.131
Coefficient of variation (CV)2.2204092
Kurtosis30.373916
Mean7462.197
Median Absolute Deviation (MAD)35
Skewness5.6083472
Sum492505
Variance2.7453609 × 108
MonotonicityNot monotonic
2024-04-06T20:10:16.939643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
4516 7
 
8.6%
4554 5
 
6.2%
4513 4
 
4.9%
4557 3
 
3.7%
4551 3
 
3.7%
4521 3
 
3.7%
4522 3
 
3.7%
4637 3
 
3.7%
4533 3
 
3.7%
4519 2
 
2.5%
Other values (25) 30
37.0%
(Missing) 15
18.5%
ValueCountFrequency (%)
4505 1
 
1.2%
4511 1
 
1.2%
4513 4
4.9%
4514 1
 
1.2%
4515 1
 
1.2%
4516 7
8.6%
4519 2
 
2.5%
4520 2
 
2.5%
4521 3
3.7%
4522 3
3.7%
ValueCountFrequency (%)
100706 1
 
1.2%
100250 1
 
1.2%
4637 3
3.7%
4631 1
 
1.2%
4630 1
 
1.2%
4627 2
2.5%
4625 1
 
1.2%
4624 1
 
1.2%
4623 1
 
1.2%
4617 1
 
1.2%

사업장명
Text

UNIQUE 

Distinct81
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size780.0 B
2024-04-06T20:10:17.286973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length15
Mean length9.5432099
Min length4

Characters and Unicode

Total characters773
Distinct characters171
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

Unique81 ?
Unique (%)100.0%

Sample

1st row고려여행사(주)
2nd row(주)한진관광
3rd row롯데관광(주)
4th row(주)아주관광여행사
5th row(주)씨제이스월드
ValueCountFrequency (%)
주식회사 14
 
14.0%
고려여행사(주 1
 
1.0%
에스엠컨텐츠앤커뮤니케이션즈(주 1
 
1.0%
주)감동여행디자인 1
 
1.0%
주)팀플랜에이 1
 
1.0%
한도연트래블(주 1
 
1.0%
리모코리아(주 1
 
1.0%
인피니티솔루션(주 1
 
1.0%
중앙일보(주 1
 
1.0%
주)민커뮤니케이션즈 1
 
1.0%
Other values (77) 77
77.0%
2024-04-06T20:10:17.928937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 76
 
9.8%
( 62
 
8.0%
) 62
 
8.0%
이 33
 
4.3%
사 21
 
2.7%
스 19
 
2.5%
19
 
2.5%
케 16
 
2.1%
회 16
 
2.1%
니 15
 
1.9%
Other values (161) 434
56.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 603
78.0%
Open Punctuation 62
 
8.0%
Close Punctuation 62
 
8.0%
Space Separator 19
 
2.5%
Lowercase Letter 13
 
1.7%
Uppercase Letter 11
 
1.4%
Other Punctuation 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 76
 
12.6%
이 33
 
5.5%
사 21
 
3.5%
스 19
 
3.2%
케 16
 
2.7%
회 16
 
2.7%
니 15
 
2.5%
션 14
 
2.3%
식 14
 
2.3%
뮤 13
 
2.2%
Other values (138) 366
60.7%
Lowercase Letter
ValueCountFrequency (%)
d 2
15.4%
c 2
15.4%
e 2
15.4%
o 1
7.7%
t 1
7.7%
m 1
7.7%
i 1
7.7%
p 1
7.7%
a 1
7.7%
r 1
7.7%
Uppercase Letter
ValueCountFrequency (%)
C 2
18.2%
L 2
18.2%
G 2
18.2%
O 1
9.1%
E 1
9.1%
I 1
9.1%
M 1
9.1%
Y 1
9.1%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
, 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 62
100.0%
Close Punctuation
ValueCountFrequency (%)
) 62
100.0%
Space Separator
ValueCountFrequency (%)
19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 603
78.0%
Common 146
 
18.9%
Latin 24
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 76
 
12.6%
이 33
 
5.5%
사 21
 
3.5%
스 19
 
3.2%
케 16
 
2.7%
회 16
 
2.7%
니 15
 
2.5%
션 14
 
2.3%
식 14
 
2.3%
뮤 13
 
2.2%
Other values (138) 366
60.7%
Latin
ValueCountFrequency (%)
C 2
 
8.3%
d 2
 
8.3%
L 2
 
8.3%
c 2
 
8.3%
G 2
 
8.3%
e 2
 
8.3%
o 1
 
4.2%
t 1
 
4.2%
m 1
 
4.2%
i 1
 
4.2%
Other values (8) 8
33.3%
Common
ValueCountFrequency (%)
( 62
42.5%
) 62
42.5%
19
 
13.0%
. 2
 
1.4%
, 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 603
78.0%
ASCII 170
 
22.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 76
 
12.6%
이 33
 
5.5%
사 21
 
3.5%
스 19
 
3.2%
케 16
 
2.7%
회 16
 
2.7%
니 15
 
2.5%
션 14
 
2.3%
식 14
 
2.3%
뮤 13
 
2.2%
Other values (138) 366
60.7%
ASCII
ValueCountFrequency (%)
( 62
36.5%
) 62
36.5%
19
 
11.2%
C 2
 
1.2%
d 2
 
1.2%
L 2
 
1.2%
c 2
 
1.2%
G 2
 
1.2%
. 2
 
1.2%
e 2
 
1.2%
Other values (13) 13
 
7.6%

최종수정일자
Date

UNIQUE 

Distinct81
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size780.0 B
Minimum2007-06-21 16:43:57
Maximum2024-03-12 14:11:01
2024-04-06T20:10:18.201778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:10:18.485396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size780.0 B
I
44 
U
37 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 44
54.3%
U 37
45.7%

Length

2024-04-06T20:10:18.739066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:10:18.960931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 44
54.3%
u 37
45.7%

데이터갱신일자
Date

Distinct53
Distinct (%)65.4%
Missing0
Missing (%)0.0%
Memory size780.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 00:08:00
2024-04-06T20:10:19.150171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:10:19.387882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing81
Missing (%)100.0%
Memory size861.0 B

좌표정보(X)
Real number (ℝ)

Distinct64
Distinct (%)79.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean198613.04
Minimum197016.05
Maximum201009.83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size861.0 B
2024-04-06T20:10:19.690007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum197016.05
5-th percentile197279.33
Q1197738.78
median198388.37
Q3199267.49
95-th percentile200649.63
Maximum201009.83
Range3993.7839
Interquartile range (IQR)1528.7093

Descriptive statistics

Standard deviation1049.5418
Coefficient of variation (CV)0.0052843547
Kurtosis-0.56028806
Mean198613.04
Median Absolute Deviation (MAD)775.3705
Skewness0.54384428
Sum16087657
Variance1101537.9
MonotonicityNot monotonic
2024-04-06T20:10:19.999040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
197346.664858178 4
 
4.9%
198193.534402364 3
 
3.7%
198113.370663648 3
 
3.7%
199267.488373997 2
 
2.5%
198916.653480187 2
 
2.5%
198388.365585519 2
 
2.5%
197620.676444642 2
 
2.5%
198921.241301241 2
 
2.5%
197638.403594278 2
 
2.5%
197511.245797769 2
 
2.5%
Other values (54) 57
70.4%
ValueCountFrequency (%)
197016.045805141 1
 
1.2%
197032.923485936 1
 
1.2%
197174.591536243 1
 
1.2%
197214.205778633 1
 
1.2%
197279.328436862 1
 
1.2%
197312.655183004 1
 
1.2%
197346.664858178 4
4.9%
197446.325172007 1
 
1.2%
197511.245797769 2
2.5%
197547.543646515 1
 
1.2%
ValueCountFrequency (%)
201009.82972147 1
1.2%
200966.155503279 1
1.2%
200750.455125653 1
1.2%
200692.621953936 1
1.2%
200649.625447343 1
1.2%
200585.038755023 1
1.2%
200382.183303279 1
1.2%
200349.704652903 1
1.2%
200316.389027553 1
1.2%
200090.428459125 1
1.2%

좌표정보(Y)
Real number (ℝ)

Distinct64
Distinct (%)79.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean451173.5
Minimum449638.82
Maximum451827.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size861.0 B
2024-04-06T20:10:20.394953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum449638.82
5-th percentile450468.94
Q1450963.24
median451164.45
Q3451485
95-th percentile451759.12
Maximum451827.97
Range2189.1489
Interquartile range (IQR)521.75519

Descriptive statistics

Standard deviation424.25924
Coefficient of variation (CV)0.00094034609
Kurtosis1.3895008
Mean451173.5
Median Absolute Deviation (MAD)281.87508
Skewness-0.82893634
Sum36545054
Variance179995.9
MonotonicityNot monotonic
2024-04-06T20:10:20.646902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
451164.44975357 4
 
4.9%
451650.955791238 3
 
3.7%
451483.299976911 3
 
3.7%
451014.120821014 2
 
2.5%
451694.842893728 2
 
2.5%
450963.241815173 2
 
2.5%
450361.506112161 2
 
2.5%
451495.985361171 2
 
2.5%
451154.232387243 2
 
2.5%
451114.28520546 2
 
2.5%
Other values (54) 57
70.4%
ValueCountFrequency (%)
449638.824308081 1
1.2%
450009.693475777 1
1.2%
450361.506112161 2
2.5%
450468.943076736 1
1.2%
450494.057284186 1
1.2%
450539.857693464 1
1.2%
450635.88070153 1
1.2%
450641.58672363 1
1.2%
450678.741174633 1
1.2%
450731.342832108 1
1.2%
ValueCountFrequency (%)
451827.973207366 1
1.2%
451808.098341971 2
2.5%
451765.426505347 1
1.2%
451759.123871901 1
1.2%
451742.363666667 1
1.2%
451694.842893728 2
2.5%
451694.035675644 1
1.2%
451689.373973032 1
1.2%
451666.732613608 1
1.2%
451652.397672222 1
1.2%

문화체육업종명
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size780.0 B
국제회의기획업
52 
<NA>
29 

Length

Max length7
Median length7
Mean length5.9259259
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국제회의기획업 52
64.2%
<NA> 29
35.8%

Length

2024-04-06T20:10:20.998775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:10:21.256490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국제회의기획업 52
64.2%
na 29
35.8%

문화사업자구분명
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size780.0 B
<NA>
60 
관광사업
21 

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> 60
74.1%
관광사업 21
 
25.9%

Length

2024-04-06T20:10:21.478585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:10:21.650564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 60
74.1%
관광사업 21
 
25.9%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing81
Missing (%)100.0%
Memory size861.0 B

총층수
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size780.0 B
0
52 
<NA>
29 

Length

Max length4
Median length1
Mean length2.0740741
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 52
64.2%
<NA> 29
35.8%

Length

2024-04-06T20:10:21.862925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:10:22.078325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 52
64.2%
na 29
35.8%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing81
Missing (%)100.0%
Memory size861.0 B

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing81
Missing (%)100.0%
Memory size861.0 B

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing81
Missing (%)100.0%
Memory size861.0 B

건물용도명
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size780.0 B
<NA>
70 
사무실
10 
근린생활시설
 
1

Length

Max length6
Median length4
Mean length3.9012346
Min length3

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 70
86.4%
사무실 10
 
12.3%
근린생활시설 1
 
1.2%

Length

2024-04-06T20:10:22.286317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:10:22.477240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 70
86.4%
사무실 10
 
12.3%
근린생활시설 1
 
1.2%

지상층수
Categorical

Distinct3
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size780.0 B
0
51 
<NA>
29 
9
 
1

Length

Max length4
Median length1
Mean length2.0740741
Min length1

Unique

Unique1 ?
Unique (%)1.2%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 51
63.0%
<NA> 29
35.8%
9 1
 
1.2%

Length

2024-04-06T20:10:22.703149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:10:22.916606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 51
63.0%
na 29
35.8%
9 1
 
1.2%

지하층수
Categorical

Distinct3
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size780.0 B
0
51 
<NA>
29 
2
 
1

Length

Max length4
Median length1
Mean length2.0740741
Min length1

Unique

Unique1 ?
Unique (%)1.2%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 51
63.0%
<NA> 29
35.8%
2 1
 
1.2%

Length

2024-04-06T20:10:23.185549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:10:23.390510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 51
63.0%
na 29
35.8%
2 1
 
1.2%

객실수
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size780.0 B
0
52 
<NA>
29 

Length

Max length4
Median length1
Mean length2.0740741
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 52
64.2%
<NA> 29
35.8%

Length

2024-04-06T20:10:23.574320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:10:23.747376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 52
64.2%
na 29
35.8%

건축연면적
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size780.0 B
0
52 
<NA>
29 

Length

Max length4
Median length1
Mean length2.0740741
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 52
64.2%
<NA> 29
35.8%

Length

2024-04-06T20:10:23.957427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:10:24.188096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 52
64.2%
na 29
35.8%

영문상호명
Text

MISSING 

Distinct21
Distinct (%)100.0%
Missing60
Missing (%)74.1%
Memory size780.0 B
2024-04-06T20:10:24.479864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length30
Mean length25.619048
Min length8

Characters and Unicode

Total characters538
Distinct characters46
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st rowHANJIN TRAVEL SERVICE CO.,Ltd
2nd rowLOTTE TRAVEL SERVICE CO., LTD.
3rd rowKOTFA Co., Ltd.
4th rowDAEHONG COMMUNICATIONS INC.
5th rowCosmojin Tour Consulting Co., Ltd.
ValueCountFrequency (%)
co 14
17.3%
ltd 14
17.3%
communications 4
 
4.9%
service 3
 
3.7%
co.,ltd 3
 
3.7%
travel 3
 
3.7%
communication 2
 
2.5%
tour 2
 
2.5%
korea 2
 
2.5%
hanjin 1
 
1.2%
Other values (33) 33
40.7%
2024-04-06T20:10:25.110774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
62
 
11.5%
C 35
 
6.5%
. 33
 
6.1%
o 33
 
6.1%
t 24
 
4.5%
L 23
 
4.3%
O 19
 
3.5%
d 18
 
3.3%
I 18
 
3.3%
E 18
 
3.3%
Other values (36) 255
47.4%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 237
44.1%
Lowercase Letter 188
34.9%
Space Separator 62
 
11.5%
Other Punctuation 51
 
9.5%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
C 35
14.8%
L 23
9.7%
O 19
8.0%
I 18
 
7.6%
E 18
 
7.6%
A 17
 
7.2%
T 17
 
7.2%
N 17
 
7.2%
M 16
 
6.8%
R 12
 
5.1%
Other values (13) 45
19.0%
Lowercase Letter
ValueCountFrequency (%)
o 33
17.6%
t 24
12.8%
d 18
9.6%
n 17
9.0%
i 13
 
6.9%
a 12
 
6.4%
u 11
 
5.9%
r 11
 
5.9%
e 11
 
5.9%
m 9
 
4.8%
Other values (9) 29
15.4%
Other Punctuation
ValueCountFrequency (%)
. 33
64.7%
, 17
33.3%
& 1
 
2.0%
Space Separator
ValueCountFrequency (%)
62
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 425
79.0%
Common 113
 
21.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
C 35
 
8.2%
o 33
 
7.8%
t 24
 
5.6%
L 23
 
5.4%
O 19
 
4.5%
d 18
 
4.2%
I 18
 
4.2%
E 18
 
4.2%
n 17
 
4.0%
A 17
 
4.0%
Other values (32) 203
47.8%
Common
ValueCountFrequency (%)
62
54.9%
. 33
29.2%
, 17
 
15.0%
& 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 538
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
62
 
11.5%
C 35
 
6.5%
. 33
 
6.1%
o 33
 
6.1%
t 24
 
4.5%
L 23
 
4.3%
O 19
 
3.5%
d 18
 
3.3%
I 18
 
3.3%
E 18
 
3.3%
Other values (36) 255
47.4%

영문상호주소
Categorical

IMBALANCE 

Distinct7
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size780.0 B
<NA>
60 
PROFESSIONAL CONGRESS ORGANIZER
9 
International conference planning business
 
5
Professional Congress Organizer
 
3
INTERNATIONAL CONVENTION AND MEETING PLANNING BUSINESS
 
2
Other values (2)
 
2

Length

Max length54
Median length4
Mean length12.530864
Min length4

Unique

Unique2 ?
Unique (%)2.5%

Sample

1st row<NA>
2nd rowINTERNATIONAL CONVENTION AND MEETING PLANNING BUSINESS
3rd rowPROFESSIONAL CONGRESS ORGANIZER
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 60
74.1%
PROFESSIONAL CONGRESS ORGANIZER 9
 
11.1%
International conference planning business 5
 
6.2%
Professional Congress Organizer 3
 
3.7%
INTERNATIONAL CONVENTION AND MEETING PLANNING BUSINESS 2
 
2.5%
INTERNATIONAL CONFERENCE PLANNING BUSINESS 1
 
1.2%
Professional Congress(Convention) Organizer 1
 
1.2%

Length

2024-04-06T20:10:25.361499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:10:25.561654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 60
44.4%
professional 13
 
9.6%
organizer 13
 
9.6%
congress 12
 
8.9%
international 8
 
5.9%
planning 8
 
5.9%
business 8
 
5.9%
conference 6
 
4.4%
convention 2
 
1.5%
and 2
 
1.5%
Other values (2) 3
 
2.2%

선박총톤수
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size780.0 B
0
52 
<NA>
29 

Length

Max length4
Median length1
Mean length2.0740741
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 52
64.2%
<NA> 29
35.8%

Length

2024-04-06T20:10:25.852170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:10:26.051021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 52
64.2%
na 29
35.8%

선박척수
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size780.0 B
0
52 
<NA>
29 

Length

Max length4
Median length1
Mean length2.0740741
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 52
64.2%
<NA> 29
35.8%

Length

2024-04-06T20:10:26.259822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:10:26.435049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 52
64.2%
na 29
35.8%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing81
Missing (%)100.0%
Memory size861.0 B

무대면적
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size780.0 B
0
52 
<NA>
29 

Length

Max length4
Median length1
Mean length2.0740741
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 52
64.2%
<NA> 29
35.8%

Length

2024-04-06T20:10:26.609139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:10:26.822593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 52
64.2%
na 29
35.8%

좌석수
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size780.0 B
0
52 
<NA>
29 

Length

Max length4
Median length1
Mean length2.0740741
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 52
64.2%
<NA> 29
35.8%

Length

2024-04-06T20:10:27.051486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:10:27.260000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 52
64.2%
na 29
35.8%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing81
Missing (%)100.0%
Memory size861.0 B

회의실별동시수용인원
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size780.0 B
0
52 
<NA>
29 

Length

Max length4
Median length1
Mean length2.0740741
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 52
64.2%
<NA> 29
35.8%

Length

2024-04-06T20:10:27.456515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:10:27.657992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 52
64.2%
na 29
35.8%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)28.8%
Missing29
Missing (%)35.8%
Infinite0
Infinite (%)0.0%
Mean46.176538
Minimum0
Maximum846
Zeros38
Zeros (%)46.9%
Negative0
Negative (%)0.0%
Memory size861.0 B
2024-04-06T20:10:28.262259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q37.9575
95-th percentile225.287
Maximum846
Range846
Interquartile range (IQR)7.9575

Descriptive statistics

Standard deviation136.95004
Coefficient of variation (CV)2.9657928
Kurtosis23.866166
Mean46.176538
Median Absolute Deviation (MAD)0
Skewness4.5752722
Sum2401.18
Variance18755.315
MonotonicityNot monotonic
2024-04-06T20:10:28.634326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0.0 38
46.9%
403.0 1
 
1.2%
78.0 1
 
1.2%
846.0 1
 
1.2%
6.61 1
 
1.2%
148.76 1
 
1.2%
41.14 1
 
1.2%
103.6 1
 
1.2%
145.46 1
 
1.2%
318.82 1
 
1.2%
Other values (5) 5
 
6.2%
(Missing) 29
35.8%
ValueCountFrequency (%)
0.0 38
46.9%
6.61 1
 
1.2%
12.0 1
 
1.2%
41.14 1
 
1.2%
52.8 1
 
1.2%
54.28 1
 
1.2%
66.0 1
 
1.2%
78.0 1
 
1.2%
103.6 1
 
1.2%
124.71 1
 
1.2%
ValueCountFrequency (%)
846.0 1
1.2%
403.0 1
1.2%
318.82 1
1.2%
148.76 1
1.2%
145.46 1
1.2%
124.71 1
1.2%
103.6 1
1.2%
78.0 1
1.2%
66.0 1
1.2%
54.28 1
1.2%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing81
Missing (%)100.0%
Memory size861.0 B

놀이시설수
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size780.0 B
0
52 
<NA>
29 

Length

Max length4
Median length1
Mean length2.0740741
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 52
64.2%
<NA> 29
35.8%

Length

2024-04-06T20:10:29.145487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:10:29.712626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 52
64.2%
na 29
35.8%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing81
Missing (%)100.0%
Memory size861.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing81
Missing (%)100.0%
Memory size861.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing81
Missing (%)100.0%
Memory size861.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing81
Missing (%)100.0%
Memory size861.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing81
Missing (%)100.0%
Memory size861.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing81
Missing (%)100.0%
Memory size861.0 B

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct23
Distinct (%)44.2%
Missing29
Missing (%)35.8%
Infinite0
Infinite (%)0.0%
Mean3.9798393 × 109
Minimum0
Maximum9.347421 × 1010
Zeros18
Zeros (%)22.2%
Negative0
Negative (%)0.0%
Memory size861.0 B
2024-04-06T20:10:30.011008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1 × 108
Q33.7991722 × 108
95-th percentile2.3540162 × 1010
Maximum9.347421 × 1010
Range9.347421 × 1010
Interquartile range (IQR)3.7991722 × 108

Descriptive statistics

Standard deviation1.4731764 × 1010
Coefficient of variation (CV)3.7015976
Kurtosis28.139446
Mean3.9798393 × 109
Median Absolute Deviation (MAD)1 × 108
Skewness5.061763
Sum2.0695164 × 1011
Variance2.1702486 × 1020
MonotonicityNot monotonic
2024-04-06T20:10:30.271294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 18
22.2%
50000000 7
 
8.6%
200000000 5
 
6.2%
100000000 3
 
3.7%
187219408 1
 
1.2%
104241463 1
 
1.2%
276707814 1
 
1.2%
33000000000 1
 
1.2%
350000000 1
 
1.2%
390942509 1
 
1.2%
Other values (13) 13
16.0%
(Missing) 29
35.8%
ValueCountFrequency (%)
0 18
22.2%
50000000 7
 
8.6%
100000000 3
 
3.7%
104241463 1
 
1.2%
187219408 1
 
1.2%
200000000 5
 
6.2%
238460844 1
 
1.2%
276707814 1
 
1.2%
350000000 1
 
1.2%
376242126 1
 
1.2%
ValueCountFrequency (%)
93474210000 1
1.2%
41600000000 1
1.2%
33000000000 1
1.2%
15800295439 1
1.2%
6071664655 1
1.2%
5000000000 1
1.2%
4294740000 1
1.2%
1305000000 1
1.2%
1245000000 1
1.2%
636919521 1
1.2%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing81
Missing (%)100.0%
Memory size861.0 B

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing81
Missing (%)100.0%
Memory size861.0 B

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing81
Missing (%)100.0%
Memory size861.0 B

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)28.8%
Missing29
Missing (%)35.8%
Infinite0
Infinite (%)0.0%
Mean46.192308
Minimum0
Maximum846
Zeros38
Zeros (%)46.9%
Negative0
Negative (%)0.0%
Memory size861.0 B
2024-04-06T20:10:30.517484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q38.25
95-th percentile225.5
Maximum846
Range846
Interquartile range (IQR)8.25

Descriptive statistics

Standard deviation136.95842
Coefficient of variation (CV)2.9649617
Kurtosis23.858187
Mean46.192308
Median Absolute Deviation (MAD)0
Skewness4.5744336
Sum2402
Variance18757.609
MonotonicityNot monotonic
2024-04-06T20:10:30.698885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 38
46.9%
403 1
 
1.2%
78 1
 
1.2%
846 1
 
1.2%
7 1
 
1.2%
149 1
 
1.2%
41 1
 
1.2%
104 1
 
1.2%
145 1
 
1.2%
319 1
 
1.2%
Other values (5) 5
 
6.2%
(Missing) 29
35.8%
ValueCountFrequency (%)
0 38
46.9%
7 1
 
1.2%
12 1
 
1.2%
41 1
 
1.2%
53 1
 
1.2%
54 1
 
1.2%
66 1
 
1.2%
78 1
 
1.2%
104 1
 
1.2%
125 1
 
1.2%
ValueCountFrequency (%)
846 1
1.2%
403 1
1.2%
319 1
1.2%
149 1
1.2%
145 1
1.2%
125 1
1.2%
104 1
1.2%
78 1
1.2%
66 1
1.2%
54 1
1.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03010000CDFI226310198800000119880609<NA>1영업/정상13영업중<NA><NA><NA><NA>771-3100<NA>100814서울특별시 중구 서소문동 58-7서울특별시 중구 서소문로 106 (서소문동)<NA>고려여행사(주)2008-04-18 16:30:36I2018-08-31 23:59:59.0<NA>197547.543647451134.996405국제회의기획업관광사업<NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0
13010000CDFI226310199100000119910902<NA>1영업/정상13영업중<NA><NA><NA><NA>726-5632<NA>100070서울특별시 중구 소공동 51서울특별시 중구 소공로 88 (소공동)<NA>(주)한진관광2022-01-20 10:00:26U2022-01-22 02:40:00.0<NA>198243.861002451204.224895국제회의기획업관광사업<NA>0<NA><NA><NA><NA>0000HANJIN TRAVEL SERVICE CO.,LtdINTERNATIONAL CONVENTION AND MEETING PLANNING BUSINESS00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0
23010000CDFI226310199100000219911004<NA>1영업/정상13영업중<NA><NA><NA><NA>2264-3046<NA>100230서울특별시 중구 수표동 27-1서울특별시 중구 을지로11길 15 (수표동)<NA>롯데관광(주)2015-10-01 16:43:48I2018-08-31 23:59:59.0<NA>199097.276819451645.274277국제회의기획업관광사업<NA>0<NA><NA><NA><NA>0000LOTTE TRAVEL SERVICE CO., LTD.PROFESSIONAL CONGRESS ORGANIZER00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>1245000000<NA><NA><NA>0
33010000CDFI226310199100000319911230<NA>1영업/정상13영업중<NA><NA><NA><NA>753-5051<NA>100731서울특별시 중구 순화동 5-2 순화빌딩서울특별시 중구 서소문로 89 (순화동, 순화빌딩)4516(주)아주관광여행사2014-01-02 10:31:54I2018-08-31 23:59:59.0<NA>197346.664858451164.449754국제회의기획업관광사업<NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0
43010000CDFI226310199900000119990506<NA>1영업/정상13영업중<NA><NA><NA><NA>773-6422<NA>100191서울특별시 중구 을지로1가 188-3 902호서울특별시 중구 을지로 16 (을지로1가,902호)<NA>(주)씨제이스월드2008-04-18 16:42:39I2018-08-31 23:59:59.0<NA>198113.370664451483.299977국제회의기획업관광사업<NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0
53010000CDFI226310199900000219990605<NA>1영업/정상13영업중<NA><NA><NA><NA>757-6161<NA>100042서울특별시 중구 남산동2가 46-6서울특별시 중구 퇴계로20나길 26 (남산동2가)<NA>한국관광홍보(주)2008-04-18 16:46:09I2018-08-31 23:59:59.0<NA>198618.054706450641.586724국제회의기획업관광사업<NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0
63010000CDFI226310199900000319990716<NA>1영업/정상13영업중<NA><NA><NA><NA>2237-0065<NA>100826서울특별시 중구 신당동 340-68서울특별시 중구 다산로16길 7 (신당동)<NA>(주)신호커뮤니케이션즈2008-04-18 16:49:33I2018-08-31 23:59:59.0<NA>201009.829721450494.057284국제회의기획업관광사업<NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0
73010000CDFI226310199900000419990818<NA>1영업/정상13영업중<NA><NA><NA><NA>02-757-6161<NA><NA>서울특별시 중구 회현동2가 41-4서울특별시 중구 소공로4길 3 (회현동2가)4630(주)코트파2019-11-05 10:27:07U2019-11-07 02:40:00.0<NA>198470.498757450635.880702국제회의기획업관광사업<NA>0<NA><NA><NA><NA>0000KOTFA Co., Ltd.PROFESSIONAL CONGRESS ORGANIZER00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0
83010000CDFI226310200000000120000421<NA>3폐업3폐업20090519<NA><NA><NA>3789-2527<NA>100170서울특별시 중구 무교동 25-1 월창빌딩 611호서울특별시 중구 세종대로20길 23 (무교동,월창빌딩 611호)<NA>(주)미텍스2009-05-19 16:32:00I2018-08-31 23:59:59.0<NA>198053.591673451652.397672국제회의기획업관광사업<NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0
93010000CDFI226310200100000120010523<NA>1영업/정상13영업중<NA><NA><NA><NA>2000-5890<NA>100867서울특별시 중구 필동1가 51-9서울특별시 중구 충무로 2 (필동1가)4557(주)엔터비즈2014-01-02 10:33:37I2018-08-31 23:59:59.0<NA>199353.466358451021.472538국제회의기획업관광사업<NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
713010000CDFI22631020230000012018-04-26<NA>1영업/정상13영업중<NA><NA><NA><NA>02-554-5354<NA><NA>서울특별시 중구 소공동 21-1 소공 한국빌딩서울특별시 중구 남대문로7길 16, 소공 한국빌딩 425호 (소공동)4533주식회사 더2024-01-11 10:07:14U2023-11-30 23:03:00.0<NA>198267.995192451314.980088<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
723010000CDFI22631020230000022023-03-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 다동 10 한국관광공사 서울센터서울특별시 중구 청계천로 40, 한국관광공사 서울센터 7층 (다동)4521위호스트2023-03-08 15:55:04I2022-12-02 23:00:00.0<NA>198306.905839451808.098342<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
733010000CDFI22631020230000032023-04-25<NA>1영업/정상13영업중<NA><NA><NA><NA>0269526399<NA><NA>서울특별시 중구 광희동2가 303-47서울특별시 중구 장충단로8나길 5, 2층 (광희동2가)4614닷츠비 주식회사2023-04-25 13:30:17I2022-12-03 22:08:00.0<NA>200649.625447451171.391847<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
743010000CDFI22631020230000042019-12-20<NA>1영업/정상13영업중<NA><NA><NA><NA>02-730-0117<NA><NA>서울특별시 중구 남대문로5가 541 서울스퀘어서울특별시 중구 한강대로 416, 서울스퀘어 14층 151호 (남대문로5가)4637주식회사 랩플랜2023-05-04 14:44:18I2022-12-05 00:07:00.0<NA>197620.676445450361.506112<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
753010000CDFI22631020230000052023-07-14<NA>1영업/정상13영업중<NA><NA><NA><NA>027246684<NA><NA>서울특별시 중구 태평로1가 61-27서울특별시 중구 세종대로21길 30 (태평로1가)4519에클리 주식회사2023-07-14 14:02:54I2022-12-06 23:06:00.0<NA>197844.190667451742.363667<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
763010000CDFI22631020230000062011-07-18<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6313-8042<NA><NA>서울특별시 중구 중림동 419 CENTRAL PLACE서울특별시 중구 서소문로 50, CENTRAL PLACE 13층 (중림동)4505롯데제이티비(주)2023-12-19 15:55:13U2022-11-01 22:01:00.0<NA>197016.045805450958.822397<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
773010000CDFI22631020230000072021-12-08<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6365-7700<NA><NA>서울특별시 중구 서소문동 75-95 유원빌딩서울특별시 중구 서소문로 116, 유원빌딩 16층 1604호 (서소문동)4513주식회사 핀콕트립2023-12-15 16:18:23I2022-11-01 23:07:00.0<NA>197638.403594451154.232387<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
783010000CDFI22631020230000082019-08-05<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6409-6877<NA><NA>서울특별시 중구 필동1가 26 무석빌딩서울특별시 중구 퇴계로30길 15-8, 무석빌딩 3층 301호 (필동1가)4627주식회사 임팩2024-03-12 14:11:01U2023-12-02 23:04:00.0<NA>199262.97744450882.574678<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
793010000CDFI22631020240000012023-02-10<NA>1영업/정상13영업중<NA><NA><NA><NA>02-720-7377<NA><NA>서울특별시 중구 순화동 5-2 순화빌딩서울특별시 중구 서소문로 89, 순화빌딩 17층 LS-1714호 (순화동)4516(주)위더스투어2024-02-06 17:57:12I2023-12-02 00:08:00.0<NA>197346.664858451164.449754<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
803010000CDFI22631020240000022021-05-13<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6410-0248<NA><NA>서울특별시 중구 다동 10 한국관광공사 서울센터서울특별시 중구 청계천로 40, 한국관광공사 서울센터 1009호 (다동)4521주식회사 마이스링크2024-02-21 16:50:52I2023-12-01 22:03:00.0<NA>198306.905839451808.098342<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>