Overview

Dataset statistics

Number of variables60
Number of observations1597
Missing cells36814
Missing cells (%)38.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory804.9 KiB
Average record size in memory516.1 B

Variable types

Categorical20
Text9
DateTime6
Numeric13
Unsupported12

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-17578/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
지역구분명 is highly imbalanced (96.7%)Imbalance
주변환경명 is highly imbalanced (97.9%)Imbalance
건물용도명 is highly imbalanced (84.0%)Imbalance
지하층수 is highly imbalanced (59.1%)Imbalance
영문상호주소 is highly imbalanced (91.8%)Imbalance
인허가취소일자 has 1475 (92.4%) missing valuesMissing
폐업일자 has 784 (49.1%) missing valuesMissing
휴업시작일자 has 1593 (99.7%) missing valuesMissing
휴업종료일자 has 1593 (99.7%) missing valuesMissing
재개업일자 has 1597 (100.0%) missing valuesMissing
전화번호 has 425 (26.6%) missing valuesMissing
소재지면적 has 1597 (100.0%) missing valuesMissing
소재지우편번호 has 622 (38.9%) missing valuesMissing
도로명주소 has 83 (5.2%) missing valuesMissing
도로명우편번호 has 803 (50.3%) missing valuesMissing
업태구분명 has 1597 (100.0%) missing valuesMissing
좌표정보(X) has 54 (3.4%) missing valuesMissing
좌표정보(Y) has 54 (3.4%) missing valuesMissing
총층수 has 528 (33.1%) missing valuesMissing
제작취급품목내용 has 1597 (100.0%) missing valuesMissing
보험기관명 has 931 (58.3%) missing valuesMissing
지상층수 has 528 (33.1%) missing valuesMissing
영문상호명 has 1554 (97.3%) missing valuesMissing
선박제원 has 1597 (100.0%) missing valuesMissing
기념품종류 has 1597 (100.0%) missing valuesMissing
시설면적 has 528 (33.1%) missing valuesMissing
놀이기구수내역 has 1597 (100.0%) missing valuesMissing
방송시설유무 has 1597 (100.0%) missing valuesMissing
발전시설유무 has 1597 (100.0%) missing valuesMissing
의무실유무 has 1597 (100.0%) missing valuesMissing
안내소유무 has 1597 (100.0%) missing valuesMissing
기획여행보험시작일자 has 1588 (99.4%) missing valuesMissing
기획여행보험종료일자 has 1588 (99.4%) missing valuesMissing
자본금 has 528 (33.1%) missing valuesMissing
보험시작일자 has 931 (58.3%) missing valuesMissing
보험종료일자 has 932 (58.4%) missing valuesMissing
부대시설내역 has 1597 (100.0%) missing valuesMissing
시설규모 has 528 (33.1%) missing valuesMissing
관리번호 has unique valuesUnique
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 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
부대시설내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 has 1060 (66.4%) zerosZeros
지상층수 has 1057 (66.2%) zerosZeros
시설면적 has 1001 (62.7%) zerosZeros
자본금 has 288 (18.0%) zerosZeros
시설규모 has 1001 (62.7%) zerosZeros

Reproduction

Analysis started2024-05-11 07:52:19.229453
Analysis finished2024-05-11 07:52:22.752206
Duration3.52 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
3010000
1597 

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 1597
100.0%

Length

2024-05-11T07:52:23.000954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:52:23.399887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3010000 1597
100.0%

관리번호
Text

UNIQUE 

Distinct1597
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
2024-05-11T07:52:23.916011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters31940
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

Unique1597 ?
Unique (%)100.0%

Sample

1st rowCDFI2260021982000002
2nd rowCDFI2260021982000003
3rd rowCDFI2260021985000001
4th rowCDFI2260021987000001
5th rowCDFI2260021987000002
ValueCountFrequency (%)
cdfi2260021982000002 1
 
0.1%
cdfi2260022014000036 1
 
0.1%
cdfi2260022014000065 1
 
0.1%
cdfi2260022014000064 1
 
0.1%
cdfi2260022014000063 1
 
0.1%
cdfi2260022014000062 1
 
0.1%
cdfi2260022014000061 1
 
0.1%
cdfi2260022014000060 1
 
0.1%
cdfi2260022014000059 1
 
0.1%
cdfi2260022014000057 1
 
0.1%
Other values (1587) 1587
99.4%
2024-05-11T07:52:24.937849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 11934
37.4%
2 6953
21.8%
6 2048
 
6.4%
C 1597
 
5.0%
D 1597
 
5.0%
F 1597
 
5.0%
I 1597
 
5.0%
1 1419
 
4.4%
9 877
 
2.7%
3 522
 
1.6%
Other values (4) 1799
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 25552
80.0%
Uppercase Letter 6388
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11934
46.7%
2 6953
27.2%
6 2048
 
8.0%
1 1419
 
5.6%
9 877
 
3.4%
3 522
 
2.0%
4 492
 
1.9%
5 479
 
1.9%
8 420
 
1.6%
7 408
 
1.6%
Uppercase Letter
ValueCountFrequency (%)
C 1597
25.0%
D 1597
25.0%
F 1597
25.0%
I 1597
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 25552
80.0%
Latin 6388
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11934
46.7%
2 6953
27.2%
6 2048
 
8.0%
1 1419
 
5.6%
9 877
 
3.4%
3 522
 
2.0%
4 492
 
1.9%
5 479
 
1.9%
8 420
 
1.6%
7 408
 
1.6%
Latin
ValueCountFrequency (%)
C 1597
25.0%
D 1597
25.0%
F 1597
25.0%
I 1597
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 31940
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11934
37.4%
2 6953
21.8%
6 2048
 
6.4%
C 1597
 
5.0%
D 1597
 
5.0%
F 1597
 
5.0%
I 1597
 
5.0%
1 1419
 
4.4%
9 877
 
2.7%
3 522
 
1.6%
Other values (4) 1799
 
5.6%
Distinct1355
Distinct (%)84.8%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
Minimum1982-11-12 00:00:00
Maximum2024-04-24 00:00:00
2024-05-11T07:52:25.536075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:52:26.211946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Real number (ℝ)

MISSING 

Distinct36
Distinct (%)29.5%
Missing1475
Missing (%)92.4%
Infinite0
Infinite (%)0.0%
Mean20109551
Minimum20081230
Maximum20210106
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.2 KiB
2024-05-11T07:52:26.816903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20081230
5-th percentile20081720
Q120091013
median20100730
Q320120620
95-th percentile20150798
Maximum20210106
Range128876
Interquartile range (IQR)29607

Descriptive statistics

Standard deviation23495.456
Coefficient of variation (CV)0.001168373
Kurtosis1.7111688
Mean20109551
Median Absolute Deviation (MAD)9717
Skewness1.2846889
Sum2.4533652 × 109
Variance5.5203643 × 108
MonotonicityNot monotonic
2024-05-11T07:52:27.460519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
20091013 36
 
2.3%
20100730 15
 
0.9%
20100120 13
 
0.8%
20081230 6
 
0.4%
20140421 5
 
0.3%
20160418 4
 
0.3%
20150625 4
 
0.3%
20140325 3
 
0.2%
20130415 3
 
0.2%
20140312 2
 
0.1%
Other values (26) 31
 
1.9%
(Missing) 1475
92.4%
ValueCountFrequency (%)
20081230 6
 
0.4%
20081231 1
 
0.1%
20091013 36
2.3%
20100120 13
 
0.8%
20100730 15
0.9%
20100802 1
 
0.1%
20100826 2
 
0.1%
20100906 1
 
0.1%
20101209 1
 
0.1%
20110119 2
 
0.1%
ValueCountFrequency (%)
20210106 1
 
0.1%
20160418 4
0.3%
20150921 1
 
0.1%
20150807 1
 
0.1%
20150625 4
0.3%
20141106 1
 
0.1%
20140605 1
 
0.1%
20140421 5
0.3%
20140402 1
 
0.1%
20140325 3
0.2%
Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
3
636 
1
441 
4
422 
5
96 
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 636
39.8%
1 441
27.6%
4 422
26.4%
5 96
 
6.0%
2 2
 
0.1%

Length

2024-05-11T07:52:28.098963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:52:28.678974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 636
39.8%
1 441
27.6%
4 422
26.4%
5 96
 
6.0%
2 2
 
0.1%

영업상태명
Categorical

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
폐업
636 
영업/정상
441 
취소/말소/만료/정지/중지
422 
제외/삭제/전출
96 
휴업
 
2

Length

Max length14
Median length8
Mean length6.3600501
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 636
39.8%
영업/정상 441
27.6%
취소/말소/만료/정지/중지 422
26.4%
제외/삭제/전출 96
 
6.0%
휴업 2
 
0.1%

Length

2024-05-11T07:52:29.479239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:52:30.066098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 636
39.8%
영업/정상 441
27.6%
취소/말소/만료/정지/중지 422
26.4%
제외/삭제/전출 96
 
6.0%
휴업 2
 
0.1%

상세영업상태코드
Real number (ℝ)

Distinct9
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.032561
Minimum2
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.2 KiB
2024-05-11T07:52:30.689361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q13
median13
Q330
95-th percentile35
Maximum35
Range33
Interquartile range (IQR)27

Descriptive statistics

Standard deviation11.458608
Coefficient of variation (CV)0.8165728
Kurtosis-1.1005396
Mean14.032561
Median Absolute Deviation (MAD)10
Skewness0.62430244
Sum22410
Variance131.29969
MonotonicityNot monotonic
2024-05-11T07:52:31.366794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3 636
39.8%
13 441
27.6%
31 247
 
15.5%
15 96
 
6.0%
35 85
 
5.3%
30 83
 
5.2%
32 4
 
0.3%
25 3
 
0.2%
2 2
 
0.1%
ValueCountFrequency (%)
2 2
 
0.1%
3 636
39.8%
13 441
27.6%
15 96
 
6.0%
25 3
 
0.2%
30 83
 
5.2%
31 247
 
15.5%
32 4
 
0.3%
35 85
 
5.3%
ValueCountFrequency (%)
35 85
 
5.3%
32 4
 
0.3%
31 247
 
15.5%
30 83
 
5.2%
25 3
 
0.2%
15 96
 
6.0%
13 441
27.6%
3 636
39.8%
2 2
 
0.1%
Distinct9
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
폐업
636 
영업중
441 
등록취소
247 
전출
96 
직권말소
85 
Other values (4)
92 

Length

Max length4
Median length3
Mean length2.8046337
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 636
39.8%
영업중 441
27.6%
등록취소 247
 
15.5%
전출 96
 
6.0%
직권말소 85
 
5.3%
허가취소 83
 
5.2%
신고취소 4
 
0.3%
영업정지 3
 
0.2%
휴업 2
 
0.1%

Length

2024-05-11T07:52:32.304089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:52:33.014109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 636
39.8%
영업중 441
27.6%
등록취소 247
 
15.5%
전출 96
 
6.0%
직권말소 85
 
5.3%
허가취소 83
 
5.2%
신고취소 4
 
0.3%
영업정지 3
 
0.2%
휴업 2
 
0.1%

폐업일자
Date

MISSING 

Distinct650
Distinct (%)80.0%
Missing784
Missing (%)49.1%
Memory size12.6 KiB
Minimum1996-01-19 00:00:00
Maximum2024-05-09 00:00:00
2024-05-11T07:52:33.582574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:52:34.342063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct4
Distinct (%)100.0%
Missing1593
Missing (%)99.7%
Memory size12.6 KiB
Minimum2008-06-01 00:00:00
Maximum2023-11-21 00:00:00
2024-05-11T07:52:34.900227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:52:35.318504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

휴업종료일자
Date

MISSING 

Distinct4
Distinct (%)100.0%
Missing1593
Missing (%)99.7%
Memory size12.6 KiB
Minimum2008-06-30 00:00:00
Maximum2024-11-20 00:00:00
2024-05-11T07:52:35.681843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:52:36.085300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1597
Missing (%)100.0%
Memory size14.2 KiB

전화번호
Text

MISSING 

Distinct1146
Distinct (%)97.8%
Missing425
Missing (%)26.6%
Memory size12.6 KiB
2024-05-11T07:52:36.870980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length9.3924915
Min length8

Characters and Unicode

Total characters11008
Distinct characters15
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1120 ?
Unique (%)95.6%

Sample

1st row776-7895
2nd row778-7911
3rd row756-6651
4th row778-7637
5th row754-8848
ValueCountFrequency (%)
02 7
 
0.6%
319-9557 2
 
0.2%
773-7444 2
 
0.2%
027779550 2
 
0.2%
779-0456 2
 
0.2%
023181117 2
 
0.2%
027235565 2
 
0.2%
0237088501 2
 
0.2%
318-5555 2
 
0.2%
2676-2337 2
 
0.2%
Other values (1141) 1158
97.9%
2024-05-11T07:52:38.351022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 1958
17.8%
0 1483
13.5%
2 1371
12.5%
- 1297
11.8%
3 938
8.5%
5 871
7.9%
1 736
 
6.7%
8 662
 
6.0%
6 625
 
5.7%
9 534
 
4.9%
Other values (5) 533
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9680
87.9%
Dash Punctuation 1297
 
11.8%
Space Separator 18
 
0.2%
Other Punctuation 10
 
0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 1958
20.2%
0 1483
15.3%
2 1371
14.2%
3 938
9.7%
5 871
9.0%
1 736
 
7.6%
8 662
 
6.8%
6 625
 
6.5%
9 534
 
5.5%
4 502
 
5.2%
Other Punctuation
ValueCountFrequency (%)
, 7
70.0%
/ 3
30.0%
Dash Punctuation
ValueCountFrequency (%)
- 1297
100.0%
Space Separator
ValueCountFrequency (%)
18
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11008
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 1958
17.8%
0 1483
13.5%
2 1371
12.5%
- 1297
11.8%
3 938
8.5%
5 871
7.9%
1 736
 
6.7%
8 662
 
6.0%
6 625
 
5.7%
9 534
 
4.9%
Other values (5) 533
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11008
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 1958
17.8%
0 1483
13.5%
2 1371
12.5%
- 1297
11.8%
3 938
8.5%
5 871
7.9%
1 736
 
6.7%
8 662
 
6.0%
6 625
 
5.7%
9 534
 
4.9%
Other values (5) 533
 
4.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1597
Missing (%)100.0%
Memory size14.2 KiB

소재지우편번호
Text

MISSING 

Distinct157
Distinct (%)16.1%
Missing622
Missing (%)38.9%
Memory size12.6 KiB
2024-05-11T07:52:39.076010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0646154
Min length6

Characters and Unicode

Total characters5913
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

Unique77 ?
Unique (%)7.9%

Sample

1st row100865
2nd row100735
3rd row100873
4th row100842
5th row100-022
ValueCountFrequency (%)
100170 178
 
18.3%
100180 88
 
9.0%
100814 57
 
5.8%
100101 49
 
5.0%
100842 38
 
3.9%
100191 28
 
2.9%
100813 27
 
2.8%
100080 22
 
2.3%
100070 20
 
2.1%
100120 16
 
1.6%
Other values (147) 452
46.4%
2024-05-11T07:52:40.530726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2609
44.1%
1 1732
29.3%
8 413
 
7.0%
7 317
 
5.4%
4 210
 
3.6%
2 180
 
3.0%
3 131
 
2.2%
6 103
 
1.7%
9 79
 
1.3%
5 76
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5850
98.9%
Dash Punctuation 63
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2609
44.6%
1 1732
29.6%
8 413
 
7.1%
7 317
 
5.4%
4 210
 
3.6%
2 180
 
3.1%
3 131
 
2.2%
6 103
 
1.8%
9 79
 
1.4%
5 76
 
1.3%
Dash Punctuation
ValueCountFrequency (%)
- 63
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5913
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2609
44.1%
1 1732
29.3%
8 413
 
7.0%
7 317
 
5.4%
4 210
 
3.6%
2 180
 
3.0%
3 131
 
2.2%
6 103
 
1.7%
9 79
 
1.3%
5 76
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5913
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2609
44.1%
1 1732
29.3%
8 413
 
7.0%
7 317
 
5.4%
4 210
 
3.6%
2 180
 
3.0%
3 131
 
2.2%
6 103
 
1.7%
9 79
 
1.3%
5 76
 
1.3%
Distinct1320
Distinct (%)82.7%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
2024-05-11T07:52:41.552944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length37
Mean length26.661866
Min length14

Characters and Unicode

Total characters42579
Distinct characters294
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1198 ?
Unique (%)75.0%

Sample

1st row서울특별시 중구 태평로2가 340-6번지 대한일보 806호
2nd row서울특별시 중구 남대문로5가 6-15 대원강업빌딩 202호
3rd row서울특별시 중구 서소문동 75-0번지 대한빌딩 505호
4th row서울특별시 중구 회현동1가 92-4번지
5th row서울특별시 중구 을지로1가 32-0번지
ValueCountFrequency (%)
서울특별시 1597
 
18.5%
중구 1592
 
18.4%
무교동 282
 
3.3%
다동 210
 
2.4%
서소문동 188
 
2.2%
태평로1가 102
 
1.2%
을지로1가 92
 
1.1%
광일빌딩 52
 
0.6%
태평로2가 46
 
0.5%
순화동 42
 
0.5%
Other values (1424) 4427
51.3%
2024-05-11T07:52:43.343415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7884
 
18.5%
1 2081
 
4.9%
1832
 
4.3%
1629
 
3.8%
1629
 
3.8%
1623
 
3.8%
1615
 
3.8%
1610
 
3.8%
1597
 
3.8%
1350
 
3.2%
Other values (284) 19729
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24798
58.2%
Decimal Number 8351
 
19.6%
Space Separator 7884
 
18.5%
Dash Punctuation 1066
 
2.5%
Lowercase Letter 307
 
0.7%
Uppercase Letter 95
 
0.2%
Open Punctuation 36
 
0.1%
Close Punctuation 36
 
0.1%
Other Punctuation 5
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1832
 
7.4%
1629
 
6.6%
1629
 
6.6%
1623
 
6.5%
1615
 
6.5%
1610
 
6.5%
1597
 
6.4%
1350
 
5.4%
1138
 
4.6%
947
 
3.8%
Other values (242) 9828
39.6%
Uppercase Letter
ValueCountFrequency (%)
C 34
35.8%
P 32
33.7%
B 7
 
7.4%
K 4
 
4.2%
Y 3
 
3.2%
S 3
 
3.2%
D 2
 
2.1%
T 2
 
2.1%
A 2
 
2.1%
N 1
 
1.1%
Other values (5) 5
 
5.3%
Decimal Number
ValueCountFrequency (%)
1 2081
24.9%
2 1256
15.0%
0 1109
13.3%
3 880
10.5%
5 806
 
9.7%
7 509
 
6.1%
9 501
 
6.0%
6 421
 
5.0%
4 407
 
4.9%
8 381
 
4.6%
Lowercase Letter
ValueCountFrequency (%)
e 99
32.2%
n 36
 
11.7%
c 34
 
11.1%
a 34
 
11.1%
r 33
 
10.7%
t 33
 
10.7%
l 32
 
10.4%
i 3
 
1.0%
s 2
 
0.7%
h 1
 
0.3%
Other Punctuation
ValueCountFrequency (%)
, 4
80.0%
. 1
 
20.0%
Space Separator
ValueCountFrequency (%)
7884
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1066
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24798
58.2%
Common 17379
40.8%
Latin 402
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1832
 
7.4%
1629
 
6.6%
1629
 
6.6%
1623
 
6.5%
1615
 
6.5%
1610
 
6.5%
1597
 
6.4%
1350
 
5.4%
1138
 
4.6%
947
 
3.8%
Other values (242) 9828
39.6%
Latin
ValueCountFrequency (%)
e 99
24.6%
n 36
 
9.0%
C 34
 
8.5%
c 34
 
8.5%
a 34
 
8.5%
r 33
 
8.2%
t 33
 
8.2%
l 32
 
8.0%
P 32
 
8.0%
B 7
 
1.7%
Other values (15) 28
 
7.0%
Common
ValueCountFrequency (%)
7884
45.4%
1 2081
 
12.0%
2 1256
 
7.2%
0 1109
 
6.4%
- 1066
 
6.1%
3 880
 
5.1%
5 806
 
4.6%
7 509
 
2.9%
9 501
 
2.9%
6 421
 
2.4%
Other values (7) 866
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24798
58.2%
ASCII 17781
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7884
44.3%
1 2081
 
11.7%
2 1256
 
7.1%
0 1109
 
6.2%
- 1066
 
6.0%
3 880
 
4.9%
5 806
 
4.5%
7 509
 
2.9%
9 501
 
2.8%
6 421
 
2.4%
Other values (32) 1268
 
7.1%
Hangul
ValueCountFrequency (%)
1832
 
7.4%
1629
 
6.6%
1629
 
6.6%
1623
 
6.5%
1615
 
6.5%
1610
 
6.5%
1597
 
6.4%
1350
 
5.4%
1138
 
4.6%
947
 
3.8%
Other values (242) 9828
39.6%

도로명주소
Text

MISSING 

Distinct1385
Distinct (%)91.5%
Missing83
Missing (%)5.2%
Memory size12.6 KiB
2024-05-11T07:52:44.252883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length58
Mean length34.508587
Min length20

Characters and Unicode

Total characters52246
Distinct characters316
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1283 ?
Unique (%)84.7%

Sample

1st row서울특별시 중구 서소문로 138, 806호 (태평로2가,대한일보)
2nd row서울특별시 중구 세종대로5길 35, 대원강업빌딩 202호 (남대문로5가)
3rd row서울특별시 중구 퇴계로10길 16-1 (회현동1가)
4th row서울특별시 중구 남대문로9길 51 (을지로1가)
5th row서울특별시 중구 명동2길 12 (명동2가)
ValueCountFrequency (%)
서울특별시 1514
 
15.4%
중구 1509
 
15.4%
서소문로 199
 
2.0%
무교로 173
 
1.8%
다동 144
 
1.5%
다동길 140
 
1.4%
무교동 137
 
1.4%
15 95
 
1.0%
남대문로9길 86
 
0.9%
서소문동 82
 
0.8%
Other values (1421) 5723
58.4%
2024-05-11T07:52:45.575438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8870
 
17.0%
1 2250
 
4.3%
1964
 
3.8%
, 1764
 
3.4%
1728
 
3.3%
1550
 
3.0%
1549
 
3.0%
1538
 
2.9%
) 1538
 
2.9%
( 1538
 
2.9%
Other values (306) 27957
53.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28883
55.3%
Decimal Number 9143
 
17.5%
Space Separator 8870
 
17.0%
Other Punctuation 1766
 
3.4%
Close Punctuation 1538
 
2.9%
Open Punctuation 1538
 
2.9%
Lowercase Letter 211
 
0.4%
Dash Punctuation 193
 
0.4%
Uppercase Letter 102
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1964
 
6.8%
1728
 
6.0%
1550
 
5.4%
1549
 
5.4%
1538
 
5.3%
1532
 
5.3%
1530
 
5.3%
1521
 
5.3%
1514
 
5.2%
1156
 
4.0%
Other values (258) 13301
46.1%
Uppercase Letter
ValueCountFrequency (%)
C 27
26.5%
P 21
20.6%
S 11
10.8%
B 9
 
8.8%
K 6
 
5.9%
Y 4
 
3.9%
T 4
 
3.9%
N 3
 
2.9%
E 3
 
2.9%
D 2
 
2.0%
Other values (9) 12
11.8%
Decimal Number
ValueCountFrequency (%)
1 2250
24.6%
0 1406
15.4%
2 1201
13.1%
3 1054
11.5%
5 737
 
8.1%
4 597
 
6.5%
6 548
 
6.0%
9 517
 
5.7%
8 420
 
4.6%
7 413
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
e 67
31.8%
n 25
 
11.8%
a 23
 
10.9%
c 23
 
10.9%
t 23
 
10.9%
r 22
 
10.4%
l 21
 
10.0%
i 3
 
1.4%
h 2
 
0.9%
s 2
 
0.9%
Other Punctuation
ValueCountFrequency (%)
, 1764
99.9%
. 1
 
0.1%
# 1
 
0.1%
Space Separator
ValueCountFrequency (%)
8870
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1538
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1538
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 193
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28883
55.3%
Common 23050
44.1%
Latin 313
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1964
 
6.8%
1728
 
6.0%
1550
 
5.4%
1549
 
5.4%
1538
 
5.3%
1532
 
5.3%
1530
 
5.3%
1521
 
5.3%
1514
 
5.2%
1156
 
4.0%
Other values (258) 13301
46.1%
Latin
ValueCountFrequency (%)
e 67
21.4%
C 27
8.6%
n 25
 
8.0%
a 23
 
7.3%
c 23
 
7.3%
t 23
 
7.3%
r 22
 
7.0%
P 21
 
6.7%
l 21
 
6.7%
S 11
 
3.5%
Other values (19) 50
16.0%
Common
ValueCountFrequency (%)
8870
38.5%
1 2250
 
9.8%
, 1764
 
7.7%
) 1538
 
6.7%
( 1538
 
6.7%
0 1406
 
6.1%
2 1201
 
5.2%
3 1054
 
4.6%
5 737
 
3.2%
4 597
 
2.6%
Other values (9) 2095
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28883
55.3%
ASCII 23363
44.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8870
38.0%
1 2250
 
9.6%
, 1764
 
7.6%
) 1538
 
6.6%
( 1538
 
6.6%
0 1406
 
6.0%
2 1201
 
5.1%
3 1054
 
4.5%
5 737
 
3.2%
4 597
 
2.6%
Other values (38) 2408
 
10.3%
Hangul
ValueCountFrequency (%)
1964
 
6.8%
1728
 
6.0%
1550
 
5.4%
1549
 
5.4%
1538
 
5.3%
1532
 
5.3%
1530
 
5.3%
1521
 
5.3%
1514
 
5.2%
1156
 
4.0%
Other values (258) 13301
46.1%

도로명우편번호
Text

MISSING 

Distinct122
Distinct (%)15.4%
Missing803
Missing (%)50.3%
Memory size12.6 KiB
2024-05-11T07:52:46.152256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0881612
Min length5

Characters and Unicode

Total characters4040
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

Unique56 ?
Unique (%)7.1%

Sample

1st row04512
2nd row100-022
3rd row04521
4th row04520
5th row100170
ValueCountFrequency (%)
04522 145
18.3%
04520 65
 
8.2%
04516 58
 
7.3%
04521 52
 
6.5%
04519 34
 
4.3%
04523 25
 
3.1%
04526 22
 
2.8%
04513 22
 
2.8%
04631 16
 
2.0%
04515 15
 
1.9%
Other values (112) 340
42.8%
2024-05-11T07:52:47.240005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1004
24.9%
4 803
19.9%
5 763
18.9%
2 527
13.0%
1 382
 
9.5%
6 190
 
4.7%
3 185
 
4.6%
7 77
 
1.9%
9 67
 
1.7%
8 37
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4035
99.9%
Dash Punctuation 5
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1004
24.9%
4 803
19.9%
5 763
18.9%
2 527
13.1%
1 382
 
9.5%
6 190
 
4.7%
3 185
 
4.6%
7 77
 
1.9%
9 67
 
1.7%
8 37
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4040
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1004
24.9%
4 803
19.9%
5 763
18.9%
2 527
13.0%
1 382
 
9.5%
6 190
 
4.7%
3 185
 
4.6%
7 77
 
1.9%
9 67
 
1.7%
8 37
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4040
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1004
24.9%
4 803
19.9%
5 763
18.9%
2 527
13.0%
1 382
 
9.5%
6 190
 
4.7%
3 185
 
4.6%
7 77
 
1.9%
9 67
 
1.7%
8 37
 
0.9%
Distinct1585
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
2024-05-11T07:52:47.792362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length22
Mean length9.2798998
Min length2

Characters and Unicode

Total characters14820
Distinct characters561
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1573 ?
Unique (%)98.5%

Sample

1st row(주)나라항공 (국외)
2nd row(주)동남항공
3rd row(주)세대항공 (국외)
4th row개구항공(주) (국외)
5th row현대항공(주) (국외)
ValueCountFrequency (%)
국외 302
 
14.8%
주식회사 67
 
3.3%
투어 11
 
0.5%
여행사 6
 
0.3%
6
 
0.3%
주)신우리 2
 
0.1%
주)동산항공여행사 2
 
0.1%
주)투어 2
 
0.1%
tour 2
 
0.1%
동보항공(주 2
 
0.1%
Other values (1615) 1640
80.3%
2024-05-11T07:52:48.931338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 1549
 
10.5%
) 1549
 
10.5%
1286
 
8.7%
464
 
3.1%
463
 
3.1%
447
 
3.0%
444
 
3.0%
419
 
2.8%
409
 
2.8%
391
 
2.6%
Other values (551) 7399
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11105
74.9%
Close Punctuation 1550
 
10.5%
Open Punctuation 1549
 
10.5%
Space Separator 447
 
3.0%
Uppercase Letter 97
 
0.7%
Lowercase Letter 45
 
0.3%
Decimal Number 14
 
0.1%
Other Punctuation 11
 
0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1286
 
11.6%
464
 
4.2%
463
 
4.2%
444
 
4.0%
419
 
3.8%
409
 
3.7%
391
 
3.5%
376
 
3.4%
343
 
3.1%
316
 
2.8%
Other values (499) 6194
55.8%
Uppercase Letter
ValueCountFrequency (%)
T 17
17.5%
O 8
 
8.2%
G 8
 
8.2%
U 7
 
7.2%
R 7
 
7.2%
C 6
 
6.2%
N 6
 
6.2%
S 5
 
5.2%
L 5
 
5.2%
I 4
 
4.1%
Other values (11) 24
24.7%
Lowercase Letter
ValueCountFrequency (%)
o 7
15.6%
r 6
13.3%
e 5
11.1%
t 4
8.9%
l 3
 
6.7%
i 3
 
6.7%
u 3
 
6.7%
a 2
 
4.4%
s 2
 
4.4%
n 2
 
4.4%
Other values (7) 8
17.8%
Decimal Number
ValueCountFrequency (%)
1 4
28.6%
2 4
28.6%
0 2
14.3%
5 2
14.3%
4 1
 
7.1%
7 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
. 5
45.5%
& 4
36.4%
, 2
 
18.2%
Close Punctuation
ValueCountFrequency (%)
) 1549
99.9%
} 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1549
100.0%
Space Separator
ValueCountFrequency (%)
447
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11104
74.9%
Common 3573
 
24.1%
Latin 142
 
1.0%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1286
 
11.6%
464
 
4.2%
463
 
4.2%
444
 
4.0%
419
 
3.8%
409
 
3.7%
391
 
3.5%
376
 
3.4%
343
 
3.1%
316
 
2.8%
Other values (498) 6193
55.8%
Latin
ValueCountFrequency (%)
T 17
 
12.0%
O 8
 
5.6%
G 8
 
5.6%
U 7
 
4.9%
o 7
 
4.9%
R 7
 
4.9%
C 6
 
4.2%
r 6
 
4.2%
N 6
 
4.2%
e 5
 
3.5%
Other values (28) 65
45.8%
Common
ValueCountFrequency (%)
( 1549
43.4%
) 1549
43.4%
447
 
12.5%
. 5
 
0.1%
1 4
 
0.1%
2 4
 
0.1%
& 4
 
0.1%
0 2
 
0.1%
, 2
 
0.1%
- 2
 
0.1%
Other values (4) 5
 
0.1%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11104
74.9%
ASCII 3715
 
25.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 1549
41.7%
) 1549
41.7%
447
 
12.0%
T 17
 
0.5%
O 8
 
0.2%
G 8
 
0.2%
U 7
 
0.2%
o 7
 
0.2%
R 7
 
0.2%
C 6
 
0.2%
Other values (42) 110
 
3.0%
Hangul
ValueCountFrequency (%)
1286
 
11.6%
464
 
4.2%
463
 
4.2%
444
 
4.0%
419
 
3.8%
409
 
3.7%
391
 
3.5%
376
 
3.4%
343
 
3.1%
316
 
2.8%
Other values (498) 6193
55.8%
CJK
ValueCountFrequency (%)
1
100.0%
Distinct1442
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
Minimum2003-02-11 18:21:03
Maximum2024-05-09 16:29:32
2024-05-11T07:52:49.671367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:52:50.164008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
I
907 
U
690 

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 907
56.8%
U 690
43.2%

Length

2024-05-11T07:52:50.590245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:52:50.928767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 907
56.8%
u 690
43.2%
Distinct309
Distinct (%)19.3%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T07:52:51.319835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:52:51.763002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1597
Missing (%)100.0%
Memory size14.2 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct437
Distinct (%)28.3%
Missing54
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean198353.17
Minimum193630.83
Maximum203209
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.2 KiB
2024-05-11T07:52:52.263166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum193630.83
5-th percentile197424.71
Q1197884.49
median198126.5
Q3198459.66
95-th percentile200394.01
Maximum203209
Range9578.165
Interquartile range (IQR)575.16778

Descriptive statistics

Standard deviation874.71034
Coefficient of variation (CV)0.0044098632
Kurtosis3.7820999
Mean198353.17
Median Absolute Deviation (MAD)265.04733
Skewness1.59334
Sum3.0605894 × 108
Variance765118.18
MonotonicityNot monotonic
2024-05-11T07:52:52.699035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
198137.354306134 72
 
4.5%
198068.059896866 64
 
4.0%
198300.022318698 56
 
3.5%
198053.591672742 43
 
2.7%
198345.02215434 39
 
2.4%
198118.88012816 37
 
2.3%
198193.534402364 37
 
2.3%
198123.904576393 34
 
2.1%
197792.860310492 28
 
1.8%
197346.664858178 27
 
1.7%
Other values (427) 1106
69.3%
(Missing) 54
 
3.4%
ValueCountFrequency (%)
193630.830467519 1
 
0.1%
196673.180526741 1
 
0.1%
196757.683195655 1
 
0.1%
196948.933328771 9
0.6%
197032.923485936 2
 
0.1%
197034.02843741 1
 
0.1%
197118.982921493 2
 
0.1%
197133.181826761 7
0.4%
197164.226466038 1
 
0.1%
197166.828211714 1
 
0.1%
ValueCountFrequency (%)
203208.995497233 1
0.1%
202545.473910742 1
0.1%
202198.749829573 1
0.1%
201823.908977364 2
0.1%
201744.608195905 1
0.1%
201726.806519228 1
0.1%
201693.566935129 1
0.1%
201519.576816891 1
0.1%
201519.03893724 1
0.1%
201518.354245777 1
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct437
Distinct (%)28.3%
Missing54
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean451384.19
Minimum444104.44
Maximum452225.92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.2 KiB
2024-05-11T07:52:53.257934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum444104.44
5-th percentile450687.93
Q1451164.45
median451488.34
Q3451685.72
95-th percentile451808.1
Maximum452225.92
Range8121.4835
Interquartile range (IQR)521.27173

Descriptive statistics

Standard deviation434.27456
Coefficient of variation (CV)0.0009620952
Kurtosis62.010306
Mean451384.19
Median Absolute Deviation (MAD)249.34851
Skewness-4.6235518
Sum6.9648581 × 108
Variance188594.4
MonotonicityNot monotonic
2024-05-11T07:52:53.912807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
451759.123871901 72
 
4.5%
451666.732613608 64
 
4.0%
451702.546231816 56
 
3.5%
451652.397672222 43
 
2.7%
451737.693394501 39
 
2.4%
451614.362900051 37
 
2.3%
451650.955791238 37
 
2.3%
451671.110698942 34
 
2.1%
451842.045761983 28
 
1.8%
451164.44975357 27
 
1.7%
Other values (427) 1106
69.3%
(Missing) 54
 
3.4%
ValueCountFrequency (%)
444104.439546706 1
 
0.1%
446358.22557289 1
 
0.1%
449638.824308081 2
0.1%
450021.976050771 1
 
0.1%
450054.005569445 1
 
0.1%
450078.855010335 3
0.2%
450122.648712336 1
 
0.1%
450138.913387478 1
 
0.1%
450142.662444938 1
 
0.1%
450153.479921894 1
 
0.1%
ValueCountFrequency (%)
452225.923030749 1
 
0.1%
452076.818664092 2
 
0.1%
451938.037709964 1
 
0.1%
451932.620872 3
 
0.2%
451908.357632586 2
 
0.1%
451880.176539918 1
 
0.1%
451867.372461174 1
 
0.1%
451860.677836326 1
 
0.1%
451847.338754039 4
 
0.3%
451842.045761983 28
1.8%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
국내외여행업
1069 
<NA>
528 

Length

Max length6
Median length6
Mean length5.3387602
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내외여행업 1069
66.9%
<NA> 528
33.1%

Length

2024-05-11T07:52:54.647536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:52:55.119170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내외여행업 1069
66.9%
na 528
33.1%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
관광사업
802 
<NA>
795 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
관광사업 802
50.2%
<NA> 795
49.8%

Length

2024-05-11T07:52:55.593765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:52:56.045546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광사업 802
50.2%
na 795
49.8%

지역구분명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
<NA>
1585 
일반상업지역
 
7
상업지역
 
2
일반주거지역
 
2
근린상업지역
 
1

Length

Max length6
Median length4
Mean length4.0125235
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1585
99.2%
일반상업지역 7
 
0.4%
상업지역 2
 
0.1%
일반주거지역 2
 
0.1%
근린상업지역 1
 
0.1%

Length

2024-05-11T07:52:56.918143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:52:57.478008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1585
99.2%
일반상업지역 7
 
0.4%
상업지역 2
 
0.1%
일반주거지역 2
 
0.1%
근린상업지역 1
 
0.1%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)0.8%
Missing528
Missing (%)33.1%
Infinite0
Infinite (%)0.0%
Mean0.067352666
Minimum0
Maximum13
Zeros1060
Zeros (%)66.4%
Negative0
Negative (%)0.0%
Memory size14.2 KiB
2024-05-11T07:52:57.992804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum13
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.79626387
Coefficient of variation (CV)11.822307
Kurtosis176.31018
Mean0.067352666
Median Absolute Deviation (MAD)0
Skewness12.956309
Sum72
Variance0.63403615
MonotonicityNot monotonic
2024-05-11T07:52:58.331228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 1060
66.4%
3 2
 
0.1%
11 1
 
0.1%
7 1
 
0.1%
12 1
 
0.1%
13 1
 
0.1%
6 1
 
0.1%
8 1
 
0.1%
9 1
 
0.1%
(Missing) 528
33.1%
ValueCountFrequency (%)
0 1060
66.4%
3 2
 
0.1%
6 1
 
0.1%
7 1
 
0.1%
8 1
 
0.1%
9 1
 
0.1%
11 1
 
0.1%
12 1
 
0.1%
13 1
 
0.1%
ValueCountFrequency (%)
13 1
 
0.1%
12 1
 
0.1%
11 1
 
0.1%
9 1
 
0.1%
8 1
 
0.1%
7 1
 
0.1%
6 1
 
0.1%
3 2
 
0.1%
0 1060
66.4%

주변환경명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
<NA>
1592 
기타
 
4
주택가주변
 
1

Length

Max length5
Median length4
Mean length3.9956168
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1592
99.7%
기타 4
 
0.3%
주택가주변 1
 
0.1%

Length

2024-05-11T07:52:58.755996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:52:59.062474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1592
99.7%
기타 4
 
0.3%
주택가주변 1
 
0.1%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1597
Missing (%)100.0%
Memory size14.2 KiB

보험기관명
Text

MISSING 

Distinct61
Distinct (%)9.2%
Missing931
Missing (%)58.3%
Memory size12.6 KiB
2024-05-11T07:52:59.571740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length18
Mean length8.5015015
Min length3

Characters and Unicode

Total characters5662
Distinct characters45
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)5.4%

Sample

1st row관광협회
2nd row서울보증보험
3rd row여행공제회
4th row서울보증보험
5th row보증보험
ValueCountFrequency (%)
여행공제회 200
29.5%
서울보증보험 145
21.4%
서울보증보험(3천만원 119
17.6%
서울보증보험(3천만 30
 
4.4%
서울보증보험(4천만원 21
 
3.1%
한국관광협회 18
 
2.7%
여행공제회(4천만원 16
 
2.4%
서울보증보험주식회사 16
 
2.4%
서울보증보험(30,000,000 9
 
1.3%
한국관광협회중앙회 9
 
1.3%
Other values (51) 95
14.0%
2024-05-11T07:53:00.602466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
786
13.9%
396
 
7.0%
391
 
6.9%
387
 
6.8%
387
 
6.8%
313
 
5.5%
( 279
 
4.9%
) 279
 
4.9%
247
 
4.4%
246
 
4.3%
Other values (35) 1951
34.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4633
81.8%
Decimal Number 419
 
7.4%
Open Punctuation 279
 
4.9%
Close Punctuation 279
 
4.9%
Other Punctuation 40
 
0.7%
Space Separator 12
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
786
17.0%
396
 
8.5%
391
 
8.4%
387
 
8.4%
387
 
8.4%
313
 
6.8%
247
 
5.3%
246
 
5.3%
245
 
5.3%
245
 
5.3%
Other values (25) 990
21.4%
Decimal Number
ValueCountFrequency (%)
3 199
47.5%
0 139
33.2%
4 51
 
12.2%
5 26
 
6.2%
1 2
 
0.5%
2 2
 
0.5%
Open Punctuation
ValueCountFrequency (%)
( 279
100.0%
Close Punctuation
ValueCountFrequency (%)
) 279
100.0%
Other Punctuation
ValueCountFrequency (%)
, 40
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4633
81.8%
Common 1029
 
18.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
786
17.0%
396
 
8.5%
391
 
8.4%
387
 
8.4%
387
 
8.4%
313
 
6.8%
247
 
5.3%
246
 
5.3%
245
 
5.3%
245
 
5.3%
Other values (25) 990
21.4%
Common
ValueCountFrequency (%)
( 279
27.1%
) 279
27.1%
3 199
19.3%
0 139
13.5%
4 51
 
5.0%
, 40
 
3.9%
5 26
 
2.5%
12
 
1.2%
1 2
 
0.2%
2 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4633
81.8%
ASCII 1029
 
18.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
786
17.0%
396
 
8.5%
391
 
8.4%
387
 
8.4%
387
 
8.4%
313
 
6.8%
247
 
5.3%
246
 
5.3%
245
 
5.3%
245
 
5.3%
Other values (25) 990
21.4%
ASCII
ValueCountFrequency (%)
( 279
27.1%
) 279
27.1%
3 199
19.3%
0 139
13.5%
4 51
 
5.0%
, 40
 
3.9%
5 26
 
2.5%
12
 
1.2%
1 2
 
0.2%
2 2
 
0.2%

건물용도명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
<NA>
1524 
사무실
 
44
근린생활시설
 
26
유통시설
 
3

Length

Max length6
Median length4
Mean length4.0050094
Min length3

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> 1524
95.4%
사무실 44
 
2.8%
근린생활시설 26
 
1.6%
유통시설 3
 
0.2%

Length

2024-05-11T07:53:01.158200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:53:01.624234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1524
95.4%
사무실 44
 
2.8%
근린생활시설 26
 
1.6%
유통시설 3
 
0.2%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)0.9%
Missing528
Missing (%)33.1%
Infinite0
Infinite (%)0.0%
Mean0.074836296
Minimum0
Maximum17
Zeros1057
Zeros (%)66.2%
Negative0
Negative (%)0.0%
Memory size14.2 KiB
2024-05-11T07:53:02.105220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum17
Range17
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.84468657
Coefficient of variation (CV)11.287124
Kurtosis219.97305
Mean0.074836296
Median Absolute Deviation (MAD)0
Skewness13.894252
Sum80
Variance0.71349541
MonotonicityNot monotonic
2024-05-11T07:53:02.768624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 1057
66.2%
4 2
 
0.1%
8 2
 
0.1%
2 2
 
0.1%
7 1
 
0.1%
9 1
 
0.1%
12 1
 
0.1%
1 1
 
0.1%
6 1
 
0.1%
17 1
 
0.1%
(Missing) 528
33.1%
ValueCountFrequency (%)
0 1057
66.2%
1 1
 
0.1%
2 2
 
0.1%
4 2
 
0.1%
6 1
 
0.1%
7 1
 
0.1%
8 2
 
0.1%
9 1
 
0.1%
12 1
 
0.1%
17 1
 
0.1%
ValueCountFrequency (%)
17 1
 
0.1%
12 1
 
0.1%
9 1
 
0.1%
8 2
 
0.1%
7 1
 
0.1%
6 1
 
0.1%
4 2
 
0.1%
2 2
 
0.1%
1 1
 
0.1%
0 1057
66.2%

지하층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
0
1064 
<NA>
528 
1
 
3
3
 
1
2
 
1

Length

Max length4
Median length1
Mean length1.9918597
Min length1

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row0
2nd row<NA>
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1064
66.6%
<NA> 528
33.1%
1 3
 
0.2%
3 1
 
0.1%
2 1
 
0.1%

Length

2024-05-11T07:53:03.495380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:53:03.980574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1064
66.6%
na 528
33.1%
1 3
 
0.2%
3 1
 
0.1%
2 1
 
0.1%

객실수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
0
1069 
<NA>
528 

Length

Max length4
Median length1
Mean length1.9918597
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row<NA>
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1069
66.9%
<NA> 528
33.1%

Length

2024-05-11T07:53:04.704844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:53:05.119915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1069
66.9%
na 528
33.1%

건축연면적
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
0
1069 
<NA>
528 

Length

Max length4
Median length1
Mean length1.9918597
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row<NA>
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1069
66.9%
<NA> 528
33.1%

Length

2024-05-11T07:53:05.558020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:53:05.972587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1069
66.9%
na 528
33.1%

영문상호명
Text

MISSING 

Distinct43
Distinct (%)100.0%
Missing1554
Missing (%)97.3%
Memory size12.6 KiB
2024-05-11T07:53:06.597903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length21
Mean length17.744186
Min length1

Characters and Unicode

Total characters763
Distinct characters55
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)100.0%

Sample

1st row20
2nd row0
3rd rowLASTMINUTE Co., Ltd.
4th rowES TOUR Co,. Ltd
5th rowK-TRAVEL
ValueCountFrequency (%)
co 20
 
15.3%
ltd 20
 
15.3%
co.,ltd 10
 
7.6%
korea 8
 
6.1%
travel 7
 
5.3%
tour 5
 
3.8%
2
 
1.5%
inc 2
 
1.5%
ilh 1
 
0.8%
europe 1
 
0.8%
Other values (55) 55
42.0%
2024-05-11T07:53:07.657786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
89
 
11.7%
. 58
 
7.6%
o 47
 
6.2%
L 43
 
5.6%
T 36
 
4.7%
t 35
 
4.6%
d 34
 
4.5%
C 33
 
4.3%
, 31
 
4.1%
A 26
 
3.4%
Other values (45) 331
43.4%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 314
41.2%
Lowercase Letter 261
34.2%
Other Punctuation 94
 
12.3%
Space Separator 89
 
11.7%
Decimal Number 4
 
0.5%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 47
18.0%
t 35
13.4%
d 34
13.0%
r 25
9.6%
a 21
8.0%
e 20
7.7%
l 10
 
3.8%
i 9
 
3.4%
s 9
 
3.4%
u 8
 
3.1%
Other values (14) 43
16.5%
Uppercase Letter
ValueCountFrequency (%)
L 43
13.7%
T 36
11.5%
C 33
10.5%
A 26
 
8.3%
O 23
 
7.3%
E 21
 
6.7%
R 21
 
6.7%
N 19
 
6.1%
I 14
 
4.5%
U 12
 
3.8%
Other values (13) 66
21.0%
Other Punctuation
ValueCountFrequency (%)
. 58
61.7%
, 31
33.0%
& 5
 
5.3%
Decimal Number
ValueCountFrequency (%)
0 2
50.0%
7 1
25.0%
2 1
25.0%
Space Separator
ValueCountFrequency (%)
89
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 575
75.4%
Common 188
 
24.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 47
 
8.2%
L 43
 
7.5%
T 36
 
6.3%
t 35
 
6.1%
d 34
 
5.9%
C 33
 
5.7%
A 26
 
4.5%
r 25
 
4.3%
O 23
 
4.0%
E 21
 
3.7%
Other values (37) 252
43.8%
Common
ValueCountFrequency (%)
89
47.3%
. 58
30.9%
, 31
 
16.5%
& 5
 
2.7%
0 2
 
1.1%
- 1
 
0.5%
7 1
 
0.5%
2 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 763
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
89
 
11.7%
. 58
 
7.6%
o 47
 
6.2%
L 43
 
5.6%
T 36
 
4.7%
t 35
 
4.6%
d 34
 
4.5%
C 33
 
4.3%
, 31
 
4.1%
A 26
 
3.4%
Other values (45) 331
43.4%

영문상호주소
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
<NA>
1556 
Overseas travel business
 
25
OVERSEAS TRAVEL BUSINESS
 
10
Overseas Travel Business
 
4
Domestic&Overseas Travel Business
 
1

Length

Max length35
Median length4
Mean length4.5259862
Min length4

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1556
97.4%
Overseas travel business 25
 
1.6%
OVERSEAS TRAVEL BUSINESS 10
 
0.6%
Overseas Travel Business 4
 
0.3%
Domestic&Overseas Travel Business 1
 
0.1%
Domestic & Overseas travel business 1
 
0.1%

Length

2024-05-11T07:53:08.152006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:53:08.523044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1556
92.6%
travel 41
 
2.4%
business 41
 
2.4%
overseas 40
 
2.4%
domestic&overseas 1
 
0.1%
domestic 1
 
0.1%
1
 
0.1%

선박총톤수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
0
1069 
<NA>
528 

Length

Max length4
Median length1
Mean length1.9918597
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row<NA>
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1069
66.9%
<NA> 528
33.1%

Length

2024-05-11T07:53:09.023825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:53:09.386607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1069
66.9%
na 528
33.1%

선박척수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
0
1069 
<NA>
528 

Length

Max length4
Median length1
Mean length1.9918597
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row<NA>
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1069
66.9%
<NA> 528
33.1%

Length

2024-05-11T07:53:09.900880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:53:10.400351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1069
66.9%
na 528
33.1%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1597
Missing (%)100.0%
Memory size14.2 KiB

무대면적
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
0
1069 
<NA>
528 

Length

Max length4
Median length1
Mean length1.9918597
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row<NA>
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1069
66.9%
<NA> 528
33.1%

Length

2024-05-11T07:53:10.795530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:53:11.197146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1069
66.9%
na 528
33.1%

좌석수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
0
1069 
<NA>
528 

Length

Max length4
Median length1
Mean length1.9918597
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row<NA>
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1069
66.9%
<NA> 528
33.1%

Length

2024-05-11T07:53:11.630024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:53:11.985684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1069
66.9%
na 528
33.1%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1597
Missing (%)100.0%
Memory size14.2 KiB
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
0
1069 
<NA>
528 

Length

Max length4
Median length1
Mean length1.9918597
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row<NA>
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1069
66.9%
<NA> 528
33.1%

Length

2024-05-11T07:53:12.321298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:53:12.717807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1069
66.9%
na 528
33.1%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct54
Distinct (%)5.1%
Missing528
Missing (%)33.1%
Infinite0
Infinite (%)0.0%
Mean3.5770533
Minimum0
Maximum455.29
Zeros1001
Zeros (%)62.7%
Negative0
Negative (%)0.0%
Memory size14.2 KiB
2024-05-11T07:53:13.087045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile9.96
Maximum455.29
Range455.29
Interquartile range (IQR)0

Descriptive statistics

Standard deviation22.293174
Coefficient of variation (CV)6.2322732
Kurtosis178.18698
Mean3.5770533
Median Absolute Deviation (MAD)0
Skewness11.241262
Sum3823.87
Variance496.98559
MonotonicityNot monotonic
2024-05-11T07:53:13.540194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1001
62.7%
33.0 4
 
0.3%
10.0 4
 
0.3%
1.3 3
 
0.2%
9.0 3
 
0.2%
16.52 2
 
0.1%
6.0 2
 
0.1%
24.75 2
 
0.1%
6.6 2
 
0.1%
9.9 2
 
0.1%
Other values (44) 44
 
2.8%
(Missing) 528
33.1%
ValueCountFrequency (%)
0.0 1001
62.7%
1.3 3
 
0.2%
3.3 1
 
0.1%
3.38 1
 
0.1%
6.0 2
 
0.1%
6.6 2
 
0.1%
9.0 3
 
0.2%
9.9 2
 
0.1%
10.0 4
 
0.3%
11.9 1
 
0.1%
ValueCountFrequency (%)
455.29 1
0.1%
191.25 1
0.1%
174.38 1
0.1%
173.55 1
0.1%
165.0 1
0.1%
151.17 1
0.1%
146.17 1
0.1%
133.3 1
0.1%
132.22 1
0.1%
112.2 1
0.1%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1597
Missing (%)100.0%
Memory size14.2 KiB

놀이시설수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
0
1069 
<NA>
528 

Length

Max length4
Median length1
Mean length1.9918597
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row<NA>
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1069
66.9%
<NA> 528
33.1%

Length

2024-05-11T07:53:14.148305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:53:14.607113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1069
66.9%
na 528
33.1%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1597
Missing (%)100.0%
Memory size14.2 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1597
Missing (%)100.0%
Memory size14.2 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1597
Missing (%)100.0%
Memory size14.2 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1597
Missing (%)100.0%
Memory size14.2 KiB

기획여행보험시작일자
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)88.9%
Missing1588
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean20149577
Minimum20110414
Maximum20190201
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.2 KiB
2024-05-11T07:53:14.936909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20110414
5-th percentile20122298
Q120140807
median20150709
Q320151202
95-th percentile20182281
Maximum20190201
Range79787
Interquartile range (IQR)10395

Descriptive statistics

Standard deviation21971.272
Coefficient of variation (CV)0.0010904086
Kurtosis1.5009618
Mean20149577
Median Absolute Deviation (MAD)9902
Skewness0.21061213
Sum1.8134619 × 108
Variance4.827368 × 108
MonotonicityNot monotonic
2024-05-11T07:53:15.812755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
20151202 2
 
0.1%
20141130 1
 
0.1%
20170401 1
 
0.1%
20140123 1
 
0.1%
20110414 1
 
0.1%
20190201 1
 
0.1%
20150709 1
 
0.1%
20140807 1
 
0.1%
(Missing) 1588
99.4%
ValueCountFrequency (%)
20110414 1
0.1%
20140123 1
0.1%
20140807 1
0.1%
20141130 1
0.1%
20150709 1
0.1%
20151202 2
0.1%
20170401 1
0.1%
20190201 1
0.1%
ValueCountFrequency (%)
20190201 1
0.1%
20170401 1
0.1%
20151202 2
0.1%
20150709 1
0.1%
20141130 1
0.1%
20140807 1
0.1%
20140123 1
0.1%
20110414 1
0.1%

기획여행보험종료일자
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)88.9%
Missing1588
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean20159560
Minimum20120413
Maximum20210131
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.2 KiB
2024-05-11T07:53:16.232547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20120413
5-th percentile20132297
Q120150709
median20151129
Q320161201
95-th percentile20198211
Maximum20210131
Range89718
Interquartile range (IQR)10492

Descriptive statistics

Standard deviation24601.484
Coefficient of variation (CV)0.0012203383
Kurtosis2.0828203
Mean20159560
Median Absolute Deviation (MAD)10072
Skewness0.8149291
Sum1.8143604 × 108
Variance6.0523302 × 108
MonotonicityNot monotonic
2024-05-11T07:53:16.603519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
20161201 2
 
0.1%
20151129 1
 
0.1%
20180331 1
 
0.1%
20150122 1
 
0.1%
20120413 1
 
0.1%
20210131 1
 
0.1%
20150709 1
 
0.1%
20150806 1
 
0.1%
(Missing) 1588
99.4%
ValueCountFrequency (%)
20120413 1
0.1%
20150122 1
0.1%
20150709 1
0.1%
20150806 1
0.1%
20151129 1
0.1%
20161201 2
0.1%
20180331 1
0.1%
20210131 1
0.1%
ValueCountFrequency (%)
20210131 1
0.1%
20180331 1
0.1%
20161201 2
0.1%
20151129 1
0.1%
20150806 1
0.1%
20150709 1
0.1%
20150122 1
0.1%
20120413 1
0.1%

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct82
Distinct (%)7.7%
Missing528
Missing (%)33.1%
Infinite0
Infinite (%)0.0%
Mean80836770
Minimum0
Maximum9.3780502 × 108
Zeros288
Zeros (%)18.0%
Negative0
Negative (%)0.0%
Memory size14.2 KiB
2024-05-11T07:53:17.107561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1 × 108
Q31 × 108
95-th percentile1.5 × 108
Maximum9.3780502 × 108
Range9.3780502 × 108
Interquartile range (IQR)1 × 108

Descriptive statistics

Standard deviation78497711
Coefficient of variation (CV)0.97106442
Kurtosis29.453558
Mean80836770
Median Absolute Deviation (MAD)40000000
Skewness3.6239273
Sum8.6414507 × 1010
Variance6.1618906 × 1015
MonotonicityNot monotonic
2024-05-11T07:53:17.693464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100000000 431
27.0%
0 288
18.0%
150000000 118
 
7.4%
60000000 75
 
4.7%
30000000 29
 
1.8%
200000000 13
 
0.8%
50000000 13
 
0.8%
90000000 8
 
0.5%
300000000 7
 
0.4%
70000000 4
 
0.3%
Other values (72) 83
 
5.2%
(Missing) 528
33.1%
ValueCountFrequency (%)
0 288
18.0%
1000000 1
 
0.1%
6000000 2
 
0.1%
10000000 2
 
0.1%
15000000 1
 
0.1%
30000000 29
 
1.8%
30439944 1
 
0.1%
30445466 1
 
0.1%
32000811 1
 
0.1%
34316789 1
 
0.1%
ValueCountFrequency (%)
937805021 1
 
0.1%
870000000 1
 
0.1%
700000000 1
 
0.1%
540000000 1
 
0.1%
500000000 3
0.2%
430000000 1
 
0.1%
426710202 1
 
0.1%
400000000 1
 
0.1%
370485332 1
 
0.1%
350000000 2
0.1%

보험시작일자
Real number (ℝ)

MISSING 

Distinct614
Distinct (%)92.2%
Missing931
Missing (%)58.3%
Infinite0
Infinite (%)0.0%
Mean20123400
Minimum20020520
Maximum20211027
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.2 KiB
2024-05-11T07:53:18.162277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20020520
5-th percentile20050446
Q120080646
median20120610
Q320160523
95-th percentile20201056
Maximum20211027
Range190507
Interquartile range (IQR)79877.5

Descriptive statistics

Standard deviation48164.229
Coefficient of variation (CV)0.002393444
Kurtosis-1.0706955
Mean20123400
Median Absolute Deviation (MAD)39914
Skewness0.09534789
Sum1.3402184 × 1010
Variance2.319793 × 109
MonotonicityNot monotonic
2024-05-11T07:53:18.709949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20070810 5
 
0.3%
20160523 3
 
0.2%
20190409 3
 
0.2%
20151221 3
 
0.2%
20070517 2
 
0.1%
20160906 2
 
0.1%
20210708 2
 
0.1%
20140227 2
 
0.1%
20181101 2
 
0.1%
20070123 2
 
0.1%
Other values (604) 640
40.1%
(Missing) 931
58.3%
ValueCountFrequency (%)
20020520 1
0.1%
20030403 1
0.1%
20031007 1
0.1%
20031009 1
0.1%
20040102 1
0.1%
20040114 1
0.1%
20040130 1
0.1%
20040131 1
0.1%
20040212 1
0.1%
20040225 1
0.1%
ValueCountFrequency (%)
20211027 1
0.1%
20211010 1
0.1%
20210927 1
0.1%
20210909 1
0.1%
20210714 2
0.1%
20210708 2
0.1%
20210701 1
0.1%
20210628 1
0.1%
20210617 1
0.1%
20210614 1
0.1%

보험종료일자
Real number (ℝ)

MISSING 

Distinct608
Distinct (%)91.4%
Missing932
Missing (%)58.4%
Infinite0
Infinite (%)0.0%
Mean20133710
Minimum20030520
Maximum20240519
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.2 KiB
2024-05-11T07:53:19.359109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20030520
5-th percentile20060504
Q120090630
median20130612
Q320170602
95-th percentile20211110
Maximum20240519
Range209999
Interquartile range (IQR)79972

Descriptive statistics

Standard deviation48196.083
Coefficient of variation (CV)0.0023938004
Kurtosis-1.0687568
Mean20133710
Median Absolute Deviation (MAD)39986
Skewness0.10324003
Sum1.3388917 × 1010
Variance2.3228624 × 109
MonotonicityNot monotonic
2024-05-11T07:53:19.888395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20080810 4
 
0.3%
20170331 3
 
0.2%
20080807 3
 
0.2%
20080911 3
 
0.2%
20170522 3
 
0.2%
20120810 2
 
0.1%
20161228 2
 
0.1%
20161022 2
 
0.1%
20080406 2
 
0.1%
20120628 2
 
0.1%
Other values (598) 639
40.0%
(Missing) 932
58.4%
ValueCountFrequency (%)
20030520 1
0.1%
20040403 1
0.1%
20041007 1
0.1%
20050102 1
0.1%
20050114 1
0.1%
20050130 1
0.1%
20050131 1
0.1%
20050212 1
0.1%
20050225 1
0.1%
20050304 1
0.1%
ValueCountFrequency (%)
20240519 1
0.1%
20221027 1
0.1%
20221009 1
0.1%
20220926 1
0.1%
20220908 1
0.1%
20220714 1
0.1%
20220713 1
0.1%
20220707 2
0.1%
20220630 1
0.1%
20220627 1
0.1%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1597
Missing (%)100.0%
Memory size14.2 KiB

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct43
Distinct (%)4.0%
Missing528
Missing (%)33.1%
Infinite0
Infinite (%)0.0%
Mean3.5771749
Minimum0
Maximum455
Zeros1001
Zeros (%)62.7%
Negative0
Negative (%)0.0%
Memory size14.2 KiB
2024-05-11T07:53:20.423954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile10
Maximum455
Range455
Interquartile range (IQR)0

Descriptive statistics

Standard deviation22.284399
Coefficient of variation (CV)6.2296085
Kurtosis178.01491
Mean3.5771749
Median Absolute Deviation (MAD)0
Skewness11.234656
Sum3824
Variance496.59446
MonotonicityNot monotonic
2024-05-11T07:53:21.035756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
0 1001
62.7%
10 6
 
0.4%
33 5
 
0.3%
17 4
 
0.3%
9 3
 
0.2%
1 3
 
0.2%
40 2
 
0.1%
25 2
 
0.1%
63 2
 
0.1%
174 2
 
0.1%
Other values (33) 39
 
2.4%
(Missing) 528
33.1%
ValueCountFrequency (%)
0 1001
62.7%
1 3
 
0.2%
3 2
 
0.1%
6 2
 
0.1%
7 2
 
0.1%
9 3
 
0.2%
10 6
 
0.4%
12 1
 
0.1%
17 4
 
0.3%
18 1
 
0.1%
ValueCountFrequency (%)
455 1
0.1%
191 1
0.1%
174 2
0.1%
165 1
0.1%
151 1
0.1%
146 1
0.1%
133 1
0.1%
132 1
0.1%
112 1
0.1%
109 1
0.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03010000CDFI226002198200000219821112<NA>4취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA>776-7895<NA>100865서울특별시 중구 태평로2가 340-6번지 대한일보 806호서울특별시 중구 서소문로 138, 806호 (태평로2가,대한일보)<NA>(주)나라항공 (국외)2005-10-25 15:35:35I2018-08-31 23:59:59.0<NA>197836.402102451263.716164국내외여행업관광사업<NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>100000000<NA><NA><NA>0
13010000CDFI22600219820000031982-11-12<NA>1영업/정상13영업중<NA><NA><NA><NA>778-7911<NA><NA>서울특별시 중구 남대문로5가 6-15 대원강업빌딩 202호서울특별시 중구 세종대로5길 35, 대원강업빌딩 202호 (남대문로5가)04512(주)동남항공2023-11-02 17:39:52U2022-11-01 00:04:00.0<NA>197516.084092450687.078655<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23010000CDFI226002198500000119850918200910134취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>756-6651<NA>100735서울특별시 중구 서소문동 75-0번지 대한빌딩 505호<NA><NA>(주)세대항공 (국외)2009-10-13 12:50:56I2018-08-31 23:59:59.0<NA><NA><NA>국내외여행업관광사업<NA>0<NA><NA>관광협회<NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0
33010000CDFI226002198700000119870724<NA>3폐업3폐업20031028<NA><NA><NA><NA><NA>100873서울특별시 중구 회현동1가 92-4번지서울특별시 중구 퇴계로10길 16-1 (회현동1가)<NA>개구항공(주) (국외)2003-10-28 15:28:34I2018-08-31 23:59:59.0<NA>198196.062936450708.804601국내외여행업관광사업<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
43010000CDFI226002198700000219870724<NA>4취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>778-7637<NA>100842서울특별시 중구 을지로1가 32-0번지서울특별시 중구 남대문로9길 51 (을지로1가)<NA>현대항공(주) (국외)2004-06-08 11:19:23I2018-08-31 23:59:59.0<NA>198118.880128451614.3629국내외여행업관광사업<NA>0<NA><NA>서울보증보험<NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>100000000<NA><NA><NA>0
53010000CDFI22600219870000031987-09-17<NA>3폐업3폐업2023-10-05<NA><NA><NA>754-8848<NA>100-022서울특별시 중구 명동2가 89서울특별시 중구 명동2길 12 (명동2가)100-022(주)한화관광여행사 (국외)2023-10-06 08:55:44U2022-10-31 00:08:00.0<NA>198371.039919451183.272745<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63010000CDFI226002198700000519871015<NA>3폐업3폐업20110829<NA><NA><NA>776-9876<NA>100842서울특별시 중구 을지로1가 32번지 효덕빌딩 609호서울특별시 중구 남대문로9길 51 (을지로1가,효덕빌딩 609호)<NA>(주)죠이항공 (국외)2011-08-29 17:07:48I2018-08-31 23:59:59.0<NA>198118.880128451614.3629국내외여행업관광사업<NA>0<NA><NA>여행공제회<NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>02010102820111028<NA>0
73010000CDFI226002198700000619871214<NA>3폐업3폐업19970110<NA><NA><NA><NA><NA>100842서울특별시 중구 을지로1가 32번지 효덕빌딩 705호서울특별시 중구 남대문로9길 51, 705호 (을지로1가,효덕빌딩)<NA>(주)삼성여행사2003-02-11 18:49:28I2018-08-31 23:59:59.0<NA>198118.880128451614.3629국내외여행업관광사업<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
83010000CDFI226002198700000719871230<NA>3폐업3폐업19970422<NA><NA><NA><NA><NA>100170서울특별시 중구 무교동 95번지 동민빌딩 904호서울특별시 중구 무교로 20, 904호 (무교동,동민빌딩)<NA>(주)올림픽항공2003-02-11 18:49:28I2018-08-31 23:59:59.0<NA>198124.204055451706.593888국내외여행업관광사업<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
93010000CDFI226002198800000119880118<NA>3폐업3폐업20050413<NA><NA><NA>755-6651<NA>100170서울특별시 중구 무교동 25-1번지 원창빌딩 601호서울특별시 중구 세종대로20길 23, 601호 (무교동,원창빌딩)<NA>(주)미원항공여행사 (국외)2005-04-13 16:03:16I2018-08-31 23:59:59.0<NA>198053.591673451652.397672국내외여행업관광사업<NA>0<NA><NA>서울보증보험<NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>100000000<NA><NA><NA>0
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
15873010000CDFI22600220240000182004-04-12<NA>1영업/정상13영업중<NA><NA><NA><NA>02-319-4117<NA><NA>서울특별시 중구 태평로1가 76-3 오양수산빌딩서울특별시 중구 세종대로21길 49, 오양수산빌딩 별관313호 (태평로1가)04519(주)투어플래닝2024-03-27 10:28:07I2023-12-02 22:09:00.0<NA>197792.86031451842.045762<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
15883010000CDFI22600220240000192023-02-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 필동1가 32-7서울특별시 중구 퇴계로34길 16, 5층 (필동1가)04627트립 나우2024-03-27 16:51:46I2023-12-02 22:09:00.0<NA>199328.884544450884.640605<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
15893010000CDFI22600220240000202024-04-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 다동 97서울특별시 중구 을지로3길 34, 605호 (다동)04522주식회사 디더블유투어2024-04-05 10:24:21I2023-12-04 00:07:00.0<NA>198300.022319451702.546232<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
15903010000CDFI22600220240000212015-04-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 태평로1가 31-25 유성빌딩서울특별시 중구 세종대로20길 19, 유성빌딩 5층 505호 (태평로1가)04520숲향여행사2024-04-11 09:50:42I2023-12-03 23:03:00.0<NA>198027.449389451652.048972<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
15913010000CDFI22600220240000222024-04-11<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6204-0012<NA><NA>서울특별시 중구 태평로1가 61-1 코리아나호텔서울특별시 중구 세종대로 135, 코리아나호텔 6층 606호 (태평로1가)04519브이아이피투어(VIP TOUR)2024-04-11 10:27:35I2023-12-03 23:03:00.0<NA>197867.156641451779.880898<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
15923010000CDFI22600220240000232014-09-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 무교동 11 광일빌딩서울특별시 중구 다동길 5, 광일빌딩 15층 5호 (무교동)04521(주)진우여행2024-04-16 09:31:13I2023-12-03 23:08:00.0<NA>198137.354306451759.123872<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
15933010000CDFI22600220240000242024-04-16<NA>1영업/정상13영업중<NA><NA><NA><NA>070-8648-0662<NA><NA>서울특별시 중구 순화동 5-2 순화빌딩서울특별시 중구 서소문로 89, 순화빌딩 17층 CS-1733호 (순화동)04516에이랩인터내셔널 주식회사2024-04-16 17:52:00I2023-12-03 23:08:00.0<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>
15943010000CDFI22600220240000252024-04-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 예관동 22-1서울특별시 중구 창경궁로 33-1, 2층 (예관동)04548길따라 필따라2024-04-30 10:28:24U2023-12-05 00:02:00.0<NA>199756.67224451450.903807<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
15953010000CDFI22600220240000262024-04-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 다동 88 동아빌딩서울특별시 중구 남대문로 117, 동아빌딩 11층 (다동)04522주식회사 트립아카데미2024-04-24 09:40:12I2023-12-03 22:06:00.0<NA>198367.639005451720.217971<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
15963010000CDFI22600220240000272022-12-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 무교동 11 광일빌딩서울특별시 중구 다동길 5, 광일빌딩 303호 (무교동)04521비발디투어2024-05-08 15:20:16I2023-12-04 23:00:00.0<NA>198137.354306451759.123872<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>