Overview

Dataset statistics

Number of variables60
Number of observations871
Missing cells20809
Missing cells (%)39.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory438.2 KiB
Average record size in memory515.2 B

Variable types

Categorical23
Text8
DateTime6
Numeric11
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
Author마포구
URLhttps://data.seoul.go.kr/dataList/OA-17590/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
지역구분명 is highly imbalanced (92.1%)Imbalance
주변환경명 is highly imbalanced (92.9%)Imbalance
보험기관명 is highly imbalanced (66.7%)Imbalance
건물용도명 is highly imbalanced (60.9%)Imbalance
객실수 is highly imbalanced (80.1%)Imbalance
건축연면적 is highly imbalanced (80.1%)Imbalance
영문상호주소 is highly imbalanced (88.9%)Imbalance
선박총톤수 is highly imbalanced (80.1%)Imbalance
선박척수 is highly imbalanced (80.1%)Imbalance
무대면적 is highly imbalanced (80.1%)Imbalance
좌석수 is highly imbalanced (80.1%)Imbalance
회의실별동시수용인원 is highly imbalanced (80.1%)Imbalance
놀이시설수 is highly imbalanced (80.1%)Imbalance
기획여행보험시작일자 is highly imbalanced (98.1%)Imbalance
기획여행보험종료일자 is highly imbalanced (98.1%)Imbalance
인허가취소일자 has 759 (87.1%) missing valuesMissing
폐업일자 has 492 (56.5%) missing valuesMissing
휴업시작일자 has 866 (99.4%) missing valuesMissing
휴업종료일자 has 866 (99.4%) missing valuesMissing
재개업일자 has 871 (100.0%) missing valuesMissing
전화번호 has 247 (28.4%) missing valuesMissing
소재지면적 has 871 (100.0%) missing valuesMissing
소재지우편번호 has 417 (47.9%) missing valuesMissing
도로명주소 has 33 (3.8%) missing valuesMissing
도로명우편번호 has 342 (39.3%) missing valuesMissing
업태구분명 has 871 (100.0%) missing valuesMissing
좌표정보(X) has 26 (3.0%) missing valuesMissing
좌표정보(Y) has 26 (3.0%) missing valuesMissing
총층수 has 747 (85.8%) missing valuesMissing
제작취급품목내용 has 871 (100.0%) missing valuesMissing
지상층수 has 749 (86.0%) missing valuesMissing
지하층수 has 750 (86.1%) missing valuesMissing
영문상호명 has 841 (96.6%) missing valuesMissing
선박제원 has 871 (100.0%) missing valuesMissing
기념품종류 has 871 (100.0%) missing valuesMissing
시설면적 has 659 (75.7%) missing valuesMissing
놀이기구수내역 has 871 (100.0%) missing valuesMissing
방송시설유무 has 871 (100.0%) missing valuesMissing
발전시설유무 has 871 (100.0%) missing valuesMissing
의무실유무 has 871 (100.0%) missing valuesMissing
안내소유무 has 871 (100.0%) missing valuesMissing
자본금 has 600 (68.9%) missing valuesMissing
보험시작일자 has 639 (73.4%) missing valuesMissing
보험종료일자 has 639 (73.4%) missing valuesMissing
부대시설내역 has 871 (100.0%) missing valuesMissing
시설규모 has 659 (75.7%) 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 110 (12.6%) zerosZeros
지상층수 has 109 (12.5%) zerosZeros
지하층수 has 110 (12.6%) zerosZeros
시설면적 has 186 (21.4%) zerosZeros
시설규모 has 186 (21.4%) zerosZeros

Reproduction

Analysis started2024-05-11 04:38:18.007684
Analysis finished2024-05-11 04:38:20.865042
Duration2.86 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
3130000
871 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3130000
2nd row3130000
3rd row3130000
4th row3130000
5th row3130000

Common Values

ValueCountFrequency (%)
3130000 871
100.0%

Length

2024-05-11T04:38:21.070243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:38:21.601326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3130000 871
100.0%

관리번호
Text

UNIQUE 

Distinct871
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
2024-05-11T04:38:22.065581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters17420
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

Unique871 ?
Unique (%)100.0%

Sample

1st rowCDFI2260021985000001
2nd rowCDFI2260021987000001
3rd rowCDFI2260021988000001
4th rowCDFI2260021989000001
5th rowCDFI2260021990000002
ValueCountFrequency (%)
cdfi2260021985000001 1
 
0.1%
cdfi2260022016000032 1
 
0.1%
cdfi2260022016000052 1
 
0.1%
cdfi2260022016000018 1
 
0.1%
cdfi2260022016000019 1
 
0.1%
cdfi2260022016000021 1
 
0.1%
cdfi2260022016000022 1
 
0.1%
cdfi2260022016000023 1
 
0.1%
cdfi2260022016000026 1
 
0.1%
cdfi2260022016000027 1
 
0.1%
Other values (861) 861
98.9%
2024-05-11T04:38:23.109980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6599
37.9%
2 3874
22.2%
6 1061
 
6.1%
C 871
 
5.0%
D 871
 
5.0%
F 871
 
5.0%
I 871
 
5.0%
1 863
 
5.0%
9 373
 
2.1%
3 341
 
2.0%
Other values (4) 825
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13936
80.0%
Uppercase Letter 3484
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6599
47.4%
2 3874
27.8%
6 1061
 
7.6%
1 863
 
6.2%
9 373
 
2.7%
3 341
 
2.4%
4 280
 
2.0%
5 214
 
1.5%
7 171
 
1.2%
8 160
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
C 871
25.0%
D 871
25.0%
F 871
25.0%
I 871
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13936
80.0%
Latin 3484
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6599
47.4%
2 3874
27.8%
6 1061
 
7.6%
1 863
 
6.2%
9 373
 
2.7%
3 341
 
2.4%
4 280
 
2.0%
5 214
 
1.5%
7 171
 
1.2%
8 160
 
1.1%
Latin
ValueCountFrequency (%)
C 871
25.0%
D 871
25.0%
F 871
25.0%
I 871
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17420
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6599
37.9%
2 3874
22.2%
6 1061
 
6.1%
C 871
 
5.0%
D 871
 
5.0%
F 871
 
5.0%
I 871
 
5.0%
1 863
 
5.0%
9 373
 
2.1%
3 341
 
2.0%
Other values (4) 825
 
4.7%
Distinct788
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
Minimum1985-10-12 00:00:00
Maximum2024-05-02 00:00:00
2024-05-11T04:38:23.550845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:38:24.226690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)9.8%
Missing759
Missing (%)87.1%
Infinite0
Infinite (%)0.0%
Mean20126844
Minimum20120409
Maximum20210224
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.8 KiB
2024-05-11T04:38:24.982195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20120409
5-th percentile20120409
Q120121207
median20121207
Q320130826
95-th percentile20131004
Maximum20210224
Range89815
Interquartile range (IQR)9619

Descriptive statistics

Standard deviation11643.937
Coefficient of variation (CV)0.00057852771
Kurtosis26.48435
Mean20126844
Median Absolute Deviation (MAD)798
Skewness4.528884
Sum2.2542065 × 109
Variance1.3558126 × 108
MonotonicityNot monotonic
2024-05-11T04:38:25.455753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
20121207 51
 
5.9%
20130826 16
 
1.8%
20131004 15
 
1.7%
20120409 15
 
1.7%
20130806 9
 
1.0%
20130207 1
 
0.1%
20140519 1
 
0.1%
20170601 1
 
0.1%
20161208 1
 
0.1%
20170515 1
 
0.1%
(Missing) 759
87.1%
ValueCountFrequency (%)
20120409 15
 
1.7%
20121207 51
5.9%
20130207 1
 
0.1%
20130806 9
 
1.0%
20130826 16
 
1.8%
20131004 15
 
1.7%
20140519 1
 
0.1%
20161208 1
 
0.1%
20170515 1
 
0.1%
20170601 1
 
0.1%
ValueCountFrequency (%)
20210224 1
 
0.1%
20170601 1
 
0.1%
20170515 1
 
0.1%
20161208 1
 
0.1%
20140519 1
 
0.1%
20131004 15
 
1.7%
20130826 16
 
1.8%
20130806 9
 
1.0%
20130207 1
 
0.1%
20121207 51
5.9%
Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
3
325 
1
312 
4
197 
5
 
32
2
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 325
37.3%
1 312
35.8%
4 197
22.6%
5 32
 
3.7%
2 5
 
0.6%

Length

2024-05-11T04:38:25.900293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:38:26.360206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 325
37.3%
1 312
35.8%
4 197
22.6%
5 32
 
3.7%
2 5
 
0.6%

영업상태명
Categorical

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
폐업
325 
영업/정상
312 
취소/말소/만료/정지/중지
197 
제외/삭제/전출
 
32
휴업
 
5

Length

Max length14
Median length8
Mean length6.0091848
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 325
37.3%
영업/정상 312
35.8%
취소/말소/만료/정지/중지 197
22.6%
제외/삭제/전출 32
 
3.7%
휴업 5
 
0.6%

Length

2024-05-11T04:38:26.999687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:38:27.634679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 325
37.3%
영업/정상 312
35.8%
취소/말소/만료/정지/중지 197
22.6%
제외/삭제/전출 32
 
3.7%
휴업 5
 
0.6%
Distinct9
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
03
325 
13
311 
31
116 
32
50 
15
 
32
Other values (4)
37 

Length

Max length4
Median length2
Mean length2.0022962
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row03
2nd row32
3rd row03
4th row03
5th row03

Common Values

ValueCountFrequency (%)
03 325
37.3%
13 311
35.7%
31 116
 
13.3%
32 50
 
5.7%
15 32
 
3.7%
35 29
 
3.3%
02 5
 
0.6%
30 2
 
0.2%
BBBB 1
 
0.1%

Length

2024-05-11T04:38:28.267109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:38:28.916548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03 325
37.3%
13 311
35.7%
31 116
 
13.3%
32 50
 
5.7%
15 32
 
3.7%
35 29
 
3.3%
02 5
 
0.6%
30 2
 
0.2%
bbbb 1
 
0.1%
Distinct9
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
폐업
325 
영업중
311 
등록취소
116 
신고취소
50 
전출
 
32
Other values (4)
37 

Length

Max length4
Median length3
Mean length2.8117107
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 325
37.3%
영업중 311
35.7%
등록취소 116
 
13.3%
신고취소 50
 
5.7%
전출 32
 
3.7%
직권말소 29
 
3.3%
휴업 5
 
0.6%
허가취소 2
 
0.2%
<NA> 1
 
0.1%

Length

2024-05-11T04:38:29.525865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:38:30.160823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 325
37.3%
영업중 311
35.7%
등록취소 116
 
13.3%
신고취소 50
 
5.7%
전출 32
 
3.7%
직권말소 29
 
3.3%
휴업 5
 
0.6%
허가취소 2
 
0.2%
na 1
 
0.1%

폐업일자
Date

MISSING 

Distinct328
Distinct (%)86.5%
Missing492
Missing (%)56.5%
Memory size6.9 KiB
Minimum1996-02-03 00:00:00
Maximum2024-04-01 00:00:00
2024-05-11T04:38:30.652637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:38:31.143540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct5
Distinct (%)100.0%
Missing866
Missing (%)99.4%
Memory size6.9 KiB
Minimum2017-01-01 00:00:00
Maximum2021-12-31 00:00:00
2024-05-11T04:38:31.620427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:38:32.034986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

휴업종료일자
Date

MISSING 

Distinct5
Distinct (%)100.0%
Missing866
Missing (%)99.4%
Memory size6.9 KiB
Minimum2017-12-31 00:00:00
Maximum2024-12-31 00:00:00
2024-05-11T04:38:32.399194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:38:32.741357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing871
Missing (%)100.0%
Memory size7.8 KiB

전화번호
Text

MISSING 

Distinct603
Distinct (%)96.6%
Missing247
Missing (%)28.4%
Memory size6.9 KiB
2024-05-11T04:38:33.498975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length9.6538462
Min length8

Characters and Unicode

Total characters6024
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique582 ?
Unique (%)93.3%

Sample

1st row794-1575
2nd row564-5666
3rd row704-7500
4th row702-2987
5th row711-9111
ValueCountFrequency (%)
02-333-7667 2
 
0.3%
02-3446-1119 2
 
0.3%
02-2256-7800 2
 
0.3%
391-0907 2
 
0.3%
736-7788 2
 
0.3%
702-0707 2
 
0.3%
706-1631 2
 
0.3%
777-4776 2
 
0.3%
717-1965 2
 
0.3%
313-2085 2
 
0.3%
Other values (594) 605
96.8%
2024-05-11T04:38:34.789002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 861
14.3%
0 854
14.2%
3 722
12.0%
7 710
11.8%
2 661
11.0%
1 480
8.0%
6 402
6.7%
4 381
6.3%
5 380
6.3%
8 313
 
5.2%
Other values (3) 260
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5159
85.6%
Dash Punctuation 861
 
14.3%
Space Separator 3
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 854
16.6%
3 722
14.0%
7 710
13.8%
2 661
12.8%
1 480
9.3%
6 402
7.8%
4 381
7.4%
5 380
7.4%
8 313
 
6.1%
9 256
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 861
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6024
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 861
14.3%
0 854
14.2%
3 722
12.0%
7 710
11.8%
2 661
11.0%
1 480
8.0%
6 402
6.7%
4 381
6.3%
5 380
6.3%
8 313
 
5.2%
Other values (3) 260
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6024
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 861
14.3%
0 854
14.2%
3 722
12.0%
7 710
11.8%
2 661
11.0%
1 480
8.0%
6 402
6.7%
4 381
6.3%
5 380
6.3%
8 313
 
5.2%
Other values (3) 260
 
4.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing871
Missing (%)100.0%
Memory size7.8 KiB

소재지우편번호
Text

MISSING 

Distinct130
Distinct (%)28.6%
Missing417
Missing (%)47.9%
Memory size6.9 KiB
2024-05-11T04:38:35.607234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0792952
Min length6

Characters and Unicode

Total characters2760
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

Unique50 ?
Unique (%)11.0%

Sample

1st row121812
2nd row121050
3rd row121815
4th row121815
5th row121816
ValueCountFrequency (%)
121805 40
 
8.8%
121815 19
 
4.2%
121817 16
 
3.5%
121838 15
 
3.3%
121050 14
 
3.1%
121718 13
 
2.9%
121816 10
 
2.2%
121210 10
 
2.2%
121893 10
 
2.2%
121819 8
 
1.8%
Other values (120) 299
65.9%
2024-05-11T04:38:36.797025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1047
37.9%
2 514
18.6%
8 391
 
14.2%
0 214
 
7.8%
7 147
 
5.3%
5 134
 
4.9%
3 86
 
3.1%
9 75
 
2.7%
4 61
 
2.2%
6 55
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2724
98.7%
Dash Punctuation 36
 
1.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1047
38.4%
2 514
18.9%
8 391
 
14.4%
0 214
 
7.9%
7 147
 
5.4%
5 134
 
4.9%
3 86
 
3.2%
9 75
 
2.8%
4 61
 
2.2%
6 55
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2760
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1047
37.9%
2 514
18.6%
8 391
 
14.2%
0 214
 
7.8%
7 147
 
5.3%
5 134
 
4.9%
3 86
 
3.1%
9 75
 
2.7%
4 61
 
2.2%
6 55
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2760
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1047
37.9%
2 514
18.6%
8 391
 
14.2%
0 214
 
7.8%
7 147
 
5.3%
5 134
 
4.9%
3 86
 
3.1%
9 75
 
2.7%
4 61
 
2.2%
6 55
 
2.0%
Distinct810
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
2024-05-11T04:38:37.387066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length39
Mean length29.198622
Min length8

Characters and Unicode

Total characters25432
Distinct characters292
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique773 ?
Unique (%)88.7%

Sample

1st row서울특별시 마포구 도화동 173-0번지 삼창프라쟈1317호
2nd row서울특별시 마포구 마포동 35-1번지
3rd row서울특별시 마포구 도화동 541-0번지
4th row서울특별시 마포구 도화동 544-0번지
5th row서울특별시 마포구 동교동 152-14번지
ValueCountFrequency (%)
서울특별시 868
 
17.8%
마포구 864
 
17.7%
공덕동 141
 
2.9%
서교동 139
 
2.8%
도화동 132
 
2.7%
동교동 99
 
2.0%
2층 60
 
1.2%
마포동 53
 
1.1%
3층 50
 
1.0%
합정동 47
 
1.0%
Other values (1175) 2428
49.7%
2024-05-11T04:38:38.405946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4307
 
16.9%
1 1080
 
4.2%
1030
 
4.1%
1009
 
4.0%
991
 
3.9%
958
 
3.8%
881
 
3.5%
875
 
3.4%
871
 
3.4%
870
 
3.4%
Other values (282) 12560
49.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14814
58.2%
Decimal Number 5484
 
21.6%
Space Separator 4307
 
16.9%
Dash Punctuation 631
 
2.5%
Uppercase Letter 146
 
0.6%
Lowercase Letter 23
 
0.1%
Close Punctuation 9
 
< 0.1%
Open Punctuation 9
 
< 0.1%
Other Punctuation 8
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1030
 
7.0%
1009
 
6.8%
991
 
6.7%
958
 
6.5%
881
 
5.9%
875
 
5.9%
871
 
5.9%
870
 
5.9%
869
 
5.9%
548
 
3.7%
Other values (237) 5912
39.9%
Uppercase Letter
ValueCountFrequency (%)
S 15
10.3%
L 15
10.3%
P 15
10.3%
B 14
9.6%
G 11
 
7.5%
I 11
 
7.5%
V 10
 
6.8%
A 9
 
6.2%
T 9
 
6.2%
K 9
 
6.2%
Other values (8) 28
19.2%
Decimal Number
ValueCountFrequency (%)
1 1080
19.7%
3 721
13.1%
2 653
11.9%
0 648
11.8%
4 612
11.2%
5 576
10.5%
6 372
 
6.8%
7 336
 
6.1%
8 265
 
4.8%
9 221
 
4.0%
Lowercase Letter
ValueCountFrequency (%)
p 5
21.7%
e 3
13.0%
i 3
13.0%
v 3
13.0%
n 2
 
8.7%
u 2
 
8.7%
s 2
 
8.7%
r 1
 
4.3%
w 1
 
4.3%
o 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 7
87.5%
. 1
 
12.5%
Space Separator
ValueCountFrequency (%)
4307
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 631
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14814
58.2%
Common 10448
41.1%
Latin 170
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1030
 
7.0%
1009
 
6.8%
991
 
6.7%
958
 
6.5%
881
 
5.9%
875
 
5.9%
871
 
5.9%
870
 
5.9%
869
 
5.9%
548
 
3.7%
Other values (237) 5912
39.9%
Latin
ValueCountFrequency (%)
S 15
 
8.8%
L 15
 
8.8%
P 15
 
8.8%
B 14
 
8.2%
G 11
 
6.5%
I 11
 
6.5%
V 10
 
5.9%
A 9
 
5.3%
T 9
 
5.3%
K 9
 
5.3%
Other values (19) 52
30.6%
Common
ValueCountFrequency (%)
4307
41.2%
1 1080
 
10.3%
3 721
 
6.9%
2 653
 
6.2%
0 648
 
6.2%
- 631
 
6.0%
4 612
 
5.9%
5 576
 
5.5%
6 372
 
3.6%
7 336
 
3.2%
Other values (6) 512
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14814
58.2%
ASCII 10617
41.7%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4307
40.6%
1 1080
 
10.2%
3 721
 
6.8%
2 653
 
6.2%
0 648
 
6.1%
- 631
 
5.9%
4 612
 
5.8%
5 576
 
5.4%
6 372
 
3.5%
7 336
 
3.2%
Other values (34) 681
 
6.4%
Hangul
ValueCountFrequency (%)
1030
 
7.0%
1009
 
6.8%
991
 
6.7%
958
 
6.5%
881
 
5.9%
875
 
5.9%
871
 
5.9%
870
 
5.9%
869
 
5.9%
548
 
3.7%
Other values (237) 5912
39.9%
Number Forms
ValueCountFrequency (%)
1
100.0%

도로명주소
Text

MISSING 

Distinct811
Distinct (%)96.8%
Missing33
Missing (%)3.8%
Memory size6.9 KiB
2024-05-11T04:38:39.233951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length50.5
Mean length35.806683
Min length21

Characters and Unicode

Total characters30006
Distinct characters312
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique785 ?
Unique (%)93.7%

Sample

1st row서울특별시 마포구 마포대로 63-8 (도화동,삼창프라쟈1317호)
2nd row서울특별시 마포구 마포대로 15 (마포동)
3rd row서울특별시 마포구 마포대로 38 (도화동)
4th row서울특별시 마포구 큰우물로 76 (도화동)
5th row서울특별시 마포구 동교로 212-7 (동교동)
ValueCountFrequency (%)
서울특별시 839
 
15.2%
마포구 835
 
15.1%
마포대로 204
 
3.7%
서교동 101
 
1.8%
도화동 89
 
1.6%
공덕동 78
 
1.4%
2층 78
 
1.4%
양화로 76
 
1.4%
127 67
 
1.2%
3층 64
 
1.2%
Other values (1156) 3096
56.0%
2024-05-11T04:38:40.920609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4986
 
16.6%
1 1251
 
4.2%
1195
 
4.0%
1161
 
3.9%
, 1106
 
3.7%
1029
 
3.4%
1009
 
3.4%
859
 
2.9%
852
 
2.8%
847
 
2.8%
Other values (302) 15711
52.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17007
56.7%
Space Separator 4986
 
16.6%
Decimal Number 4909
 
16.4%
Other Punctuation 1107
 
3.7%
Close Punctuation 847
 
2.8%
Open Punctuation 847
 
2.8%
Uppercase Letter 165
 
0.5%
Dash Punctuation 113
 
0.4%
Lowercase Letter 24
 
0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1195
 
7.0%
1161
 
6.8%
1029
 
6.1%
1009
 
5.9%
859
 
5.1%
852
 
5.0%
847
 
5.0%
842
 
5.0%
841
 
4.9%
825
 
4.9%
Other values (256) 7547
44.4%
Uppercase Letter
ValueCountFrequency (%)
B 23
13.9%
L 16
9.7%
S 16
9.7%
P 14
8.5%
A 14
8.5%
G 11
 
6.7%
I 10
 
6.1%
T 9
 
5.5%
K 9
 
5.5%
V 9
 
5.5%
Other values (8) 34
20.6%
Lowercase Letter
ValueCountFrequency (%)
p 5
20.8%
e 3
12.5%
v 3
12.5%
i 3
12.5%
n 2
 
8.3%
u 2
 
8.3%
s 2
 
8.3%
b 1
 
4.2%
o 1
 
4.2%
r 1
 
4.2%
Decimal Number
ValueCountFrequency (%)
1 1251
25.5%
2 690
14.1%
3 588
12.0%
0 536
10.9%
4 371
 
7.6%
5 339
 
6.9%
7 330
 
6.7%
6 310
 
6.3%
8 275
 
5.6%
9 219
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 1106
99.9%
. 1
 
0.1%
Space Separator
ValueCountFrequency (%)
4986
100.0%
Close Punctuation
ValueCountFrequency (%)
) 847
100.0%
Open Punctuation
ValueCountFrequency (%)
( 847
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 113
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17007
56.7%
Common 12809
42.7%
Latin 190
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1195
 
7.0%
1161
 
6.8%
1029
 
6.1%
1009
 
5.9%
859
 
5.1%
852
 
5.0%
847
 
5.0%
842
 
5.0%
841
 
4.9%
825
 
4.9%
Other values (256) 7547
44.4%
Latin
ValueCountFrequency (%)
B 23
 
12.1%
L 16
 
8.4%
S 16
 
8.4%
P 14
 
7.4%
A 14
 
7.4%
G 11
 
5.8%
I 10
 
5.3%
T 9
 
4.7%
K 9
 
4.7%
V 9
 
4.7%
Other values (20) 59
31.1%
Common
ValueCountFrequency (%)
4986
38.9%
1 1251
 
9.8%
, 1106
 
8.6%
) 847
 
6.6%
( 847
 
6.6%
2 690
 
5.4%
3 588
 
4.6%
0 536
 
4.2%
4 371
 
2.9%
5 339
 
2.6%
Other values (6) 1248
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17007
56.7%
ASCII 12998
43.3%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4986
38.4%
1 1251
 
9.6%
, 1106
 
8.5%
) 847
 
6.5%
( 847
 
6.5%
2 690
 
5.3%
3 588
 
4.5%
0 536
 
4.1%
4 371
 
2.9%
5 339
 
2.6%
Other values (35) 1437
 
11.1%
Hangul
ValueCountFrequency (%)
1195
 
7.0%
1161
 
6.8%
1029
 
6.1%
1009
 
5.9%
859
 
5.1%
852
 
5.0%
847
 
5.0%
842
 
5.0%
841
 
4.9%
825
 
4.9%
Other values (256) 7547
44.4%
Number Forms
ValueCountFrequency (%)
1
100.0%

도로명우편번호
Text

MISSING 

Distinct161
Distinct (%)30.4%
Missing342
Missing (%)39.3%
Memory size6.9 KiB
2024-05-11T04:38:41.829265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.073724
Min length5

Characters and Unicode

Total characters2684
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

Unique76 ?
Unique (%)14.4%

Sample

1st row03937
2nd row04144
3rd row04047
4th row04058
5th row03966
ValueCountFrequency (%)
04144 28
 
5.3%
04157 26
 
4.9%
04167 13
 
2.5%
04089 13
 
2.5%
04168 13
 
2.5%
04072 12
 
2.3%
04195 12
 
2.3%
03961 11
 
2.1%
04158 11
 
2.1%
04029 10
 
1.9%
Other values (151) 380
71.8%
2024-05-11T04:38:43.206974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 736
27.4%
4 522
19.4%
1 360
13.4%
9 208
 
7.7%
3 196
 
7.3%
5 158
 
5.9%
7 135
 
5.0%
2 130
 
4.8%
6 119
 
4.4%
8 117
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2681
99.9%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 736
27.5%
4 522
19.5%
1 360
13.4%
9 208
 
7.8%
3 196
 
7.3%
5 158
 
5.9%
7 135
 
5.0%
2 130
 
4.8%
6 119
 
4.4%
8 117
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2684
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 736
27.4%
4 522
19.4%
1 360
13.4%
9 208
 
7.7%
3 196
 
7.3%
5 158
 
5.9%
7 135
 
5.0%
2 130
 
4.8%
6 119
 
4.4%
8 117
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2684
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 736
27.4%
4 522
19.4%
1 360
13.4%
9 208
 
7.7%
3 196
 
7.3%
5 158
 
5.9%
7 135
 
5.0%
2 130
 
4.8%
6 119
 
4.4%
8 117
 
4.4%
Distinct858
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
2024-05-11T04:38:44.105811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length21
Mean length8.2675086
Min length2

Characters and Unicode

Total characters7201
Distinct characters491
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique846 ?
Unique (%)97.1%

Sample

1st row경주보문관광(주)
2nd row(주)인터컨티넨탈여행사
3rd row주-서울우성여행사
4th row주-세진여행사
5th row주-세양항공
ValueCountFrequency (%)
주식회사 98
 
9.5%
여행사 8
 
0.8%
tour 8
 
0.8%
투어 4
 
0.4%
트래블 3
 
0.3%
주)예손항공여행사 3
 
0.3%
주)마이트래블 2
 
0.2%
서울사무소 2
 
0.2%
주)세교여행사 2
 
0.2%
진진투어 2
 
0.2%
Other values (884) 900
87.2%
2024-05-11T04:38:45.570155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
620
 
8.6%
) 482
 
6.7%
( 477
 
6.6%
280
 
3.9%
266
 
3.7%
247
 
3.4%
246
 
3.4%
185
 
2.6%
181
 
2.5%
181
 
2.5%
Other values (481) 4036
56.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5835
81.0%
Close Punctuation 486
 
6.7%
Open Punctuation 481
 
6.7%
Space Separator 161
 
2.2%
Uppercase Letter 121
 
1.7%
Lowercase Letter 65
 
0.9%
Dash Punctuation 43
 
0.6%
Other Punctuation 6
 
0.1%
Decimal Number 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
620
 
10.6%
280
 
4.8%
266
 
4.6%
247
 
4.2%
246
 
4.2%
185
 
3.2%
181
 
3.1%
181
 
3.1%
145
 
2.5%
108
 
1.9%
Other values (432) 3376
57.9%
Uppercase Letter
ValueCountFrequency (%)
T 17
14.0%
A 10
 
8.3%
R 10
 
8.3%
O 10
 
8.3%
M 9
 
7.4%
L 8
 
6.6%
U 7
 
5.8%
G 7
 
5.8%
E 7
 
5.8%
C 6
 
5.0%
Other values (10) 30
24.8%
Lowercase Letter
ValueCountFrequency (%)
e 10
15.4%
o 10
15.4%
r 8
12.3%
n 6
9.2%
u 5
7.7%
h 3
 
4.6%
p 3
 
4.6%
t 3
 
4.6%
a 3
 
4.6%
l 3
 
4.6%
Other values (6) 11
16.9%
Other Punctuation
ValueCountFrequency (%)
& 3
50.0%
. 2
33.3%
, 1
 
16.7%
Decimal Number
ValueCountFrequency (%)
5 1
33.3%
3 1
33.3%
6 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 482
99.2%
] 4
 
0.8%
Open Punctuation
ValueCountFrequency (%)
( 477
99.2%
[ 4
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 41
95.3%
2
 
4.7%
Space Separator
ValueCountFrequency (%)
161
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5830
81.0%
Common 1180
 
16.4%
Latin 186
 
2.6%
Han 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
620
 
10.6%
280
 
4.8%
266
 
4.6%
247
 
4.2%
246
 
4.2%
185
 
3.2%
181
 
3.1%
181
 
3.1%
145
 
2.5%
108
 
1.9%
Other values (427) 3371
57.8%
Latin
ValueCountFrequency (%)
T 17
 
9.1%
A 10
 
5.4%
R 10
 
5.4%
O 10
 
5.4%
e 10
 
5.4%
o 10
 
5.4%
M 9
 
4.8%
r 8
 
4.3%
L 8
 
4.3%
U 7
 
3.8%
Other values (26) 87
46.8%
Common
ValueCountFrequency (%)
) 482
40.8%
( 477
40.4%
161
 
13.6%
- 41
 
3.5%
] 4
 
0.3%
[ 4
 
0.3%
& 3
 
0.3%
. 2
 
0.2%
2
 
0.2%
5 1
 
0.1%
Other values (3) 3
 
0.3%
Han
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5830
81.0%
ASCII 1364
 
18.9%
CJK 4
 
0.1%
None 2
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
620
 
10.6%
280
 
4.8%
266
 
4.6%
247
 
4.2%
246
 
4.2%
185
 
3.2%
181
 
3.1%
181
 
3.1%
145
 
2.5%
108
 
1.9%
Other values (427) 3371
57.8%
ASCII
ValueCountFrequency (%)
) 482
35.3%
( 477
35.0%
161
 
11.8%
- 41
 
3.0%
T 17
 
1.2%
A 10
 
0.7%
R 10
 
0.7%
O 10
 
0.7%
e 10
 
0.7%
o 10
 
0.7%
Other values (38) 136
 
10.0%
None
ValueCountFrequency (%)
2
100.0%
CJK
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
CJK Compat Ideographs
ValueCountFrequency (%)
1
100.0%
Distinct755
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
Minimum2003-04-18 14:56:25
Maximum2024-05-08 10:11:01
2024-05-11T04:38:46.208396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:38:46.810144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
I
456 
U
415 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 456
52.4%
U 415
47.6%

Length

2024-05-11T04:38:47.349263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:38:47.746947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 456
52.4%
u 415
47.6%
Distinct212
Distinct (%)24.3%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T04:38:48.328736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:38:48.953680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing871
Missing (%)100.0%
Memory size7.8 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct370
Distinct (%)43.8%
Missing26
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean194057.2
Minimum189315.37
Maximum201565.96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.8 KiB
2024-05-11T04:38:49.620905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189315.37
5-th percentile191407.4
Q1192763.69
median194369.32
Q3195405.16
95-th percentile195900.71
Maximum201565.96
Range12250.587
Interquartile range (IQR)2641.4666

Descriptive statistics

Standard deviation1581.0429
Coefficient of variation (CV)0.0081473038
Kurtosis-0.203603
Mean194057.2
Median Absolute Deviation (MAD)1334.1066
Skewness-0.36825745
Sum1.6397833 × 108
Variance2499696.8
MonotonicityNot monotonic
2024-05-11T04:38:50.754509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
195703.425296812 69
 
7.9%
193166.430144679 25
 
2.9%
195324.793653981 20
 
2.3%
195454.875715409 14
 
1.6%
194978.350112608 13
 
1.5%
194974.587674037 13
 
1.5%
194301.304865904 13
 
1.5%
195766.588069694 13
 
1.5%
195748.06444032 13
 
1.5%
195019.399817378 12
 
1.4%
Other values (360) 640
73.5%
(Missing) 26
 
3.0%
ValueCountFrequency (%)
189315.370584751 1
 
0.1%
189392.975995366 1
 
0.1%
189624.641758403 1
 
0.1%
189624.675468841 1
 
0.1%
189857.566447564 1
 
0.1%
190086.625449279 2
0.2%
190125.564768858 4
0.5%
190144.892942247 1
 
0.1%
190182.067334395 2
0.2%
190204.923593825 1
 
0.1%
ValueCountFrequency (%)
201565.957243521 1
 
0.1%
197559.791065754 1
 
0.1%
196567.872458459 1
 
0.1%
196439.531366756 1
 
0.1%
196337.762068147 1
 
0.1%
196293.231026739 1
 
0.1%
196210.771709438 1
 
0.1%
196186.281331063 4
0.5%
196163.040708848 1
 
0.1%
196147.981522304 1
 
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct370
Distinct (%)43.8%
Missing26
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean449772.65
Minimum446206.35
Maximum453872.43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.8 KiB
2024-05-11T04:38:51.367452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum446206.35
5-th percentile448487.37
Q1449028
median449669.86
Q3450421.47
95-th percentile451347.66
Maximum453872.43
Range7666.0709
Interquartile range (IQR)1393.4719

Descriptive statistics

Standard deviation968.78871
Coefficient of variation (CV)0.002153952
Kurtosis2.0979116
Mean449772.65
Median Absolute Deviation (MAD)695.98979
Skewness0.95626786
Sum3.8005789 × 108
Variance938551.57
MonotonicityNot monotonic
2024-05-11T04:38:51.963049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
449330.800717721 69
 
7.9%
450425.852790862 25
 
2.9%
448885.430093289 20
 
2.3%
448970.223733402 14
 
1.6%
448487.374314355 13
 
1.5%
448229.063825491 13
 
1.5%
449388.053900946 13
 
1.5%
449083.306922623 13
 
1.5%
449145.578789461 13
 
1.5%
448407.752664604 12
 
1.4%
Other values (360) 640
73.5%
(Missing) 26
 
3.0%
ValueCountFrequency (%)
446206.354902748 1
 
0.1%
447628.862085473 1
 
0.1%
448229.063825491 13
1.5%
448318.358910522 1
 
0.1%
448345.713688045 6
0.7%
448407.752664604 12
1.4%
448460.50414883 2
 
0.2%
448469.246211868 1
 
0.1%
448476.859046692 3
 
0.3%
448487.374314355 13
1.5%
ValueCountFrequency (%)
453872.42578746 1
 
0.1%
453872.3993323 1
 
0.1%
453647.349314742 1
 
0.1%
453302.04990022 1
 
0.1%
453271.198852486 1
 
0.1%
453231.427685063 2
0.2%
453141.676626027 2
0.2%
453114.7324935 1
 
0.1%
453090.149821248 4
0.5%
452810.742674992 1
 
0.1%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
국외여행업
503 
<NA>
343 
국내외여행업
 
25

Length

Max length6
Median length5
Mean length4.6349024
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국외여행업 503
57.7%
<NA> 343
39.4%
국내외여행업 25
 
2.9%

Length

2024-05-11T04:38:52.434197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:38:52.875629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국외여행업 503
57.7%
na 343
39.4%
국내외여행업 25
 
2.9%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
<NA>
521 
관광사업
350 

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> 521
59.8%
관광사업 350
40.2%

Length

2024-05-11T04:38:53.351890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:38:53.864209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 521
59.8%
관광사업 350
40.2%

지역구분명
Categorical

IMBALANCE 

Distinct9
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
<NA>
847 
근린상업지역
 
10
상업지역
 
4
준주거지역
 
4
일반주거지역
 
2
Other values (4)
 
4

Length

Max length6
Median length4
Mean length4.0378875
Min length4

Unique

Unique4 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 847
97.2%
근린상업지역 10
 
1.1%
상업지역 4
 
0.5%
준주거지역 4
 
0.5%
일반주거지역 2
 
0.2%
준공업지역 1
 
0.1%
일반상업지역 1
 
0.1%
중심상업지역 1
 
0.1%
주거지역 1
 
0.1%

Length

2024-05-11T04:38:54.345141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:38:54.921991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 847
97.2%
근린상업지역 10
 
1.1%
상업지역 4
 
0.5%
준주거지역 4
 
0.5%
일반주거지역 2
 
0.2%
준공업지역 1
 
0.1%
일반상업지역 1
 
0.1%
중심상업지역 1
 
0.1%
주거지역 1
 
0.1%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)8.9%
Missing747
Missing (%)85.8%
Infinite0
Infinite (%)0.0%
Mean1.0645161
Minimum0
Maximum21
Zeros110
Zeros (%)12.6%
Negative0
Negative (%)0.0%
Memory size7.8 KiB
2024-05-11T04:38:55.488533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile9.55
Maximum21
Range21
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.5401115
Coefficient of variation (CV)3.3255593
Kurtosis15.01369
Mean1.0645161
Median Absolute Deviation (MAD)0
Skewness3.8103155
Sum132
Variance12.532389
MonotonicityNot monotonic
2024-05-11T04:38:55.842829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 110
 
12.6%
10 3
 
0.3%
6 3
 
0.3%
3 1
 
0.1%
5 1
 
0.1%
1 1
 
0.1%
13 1
 
0.1%
16 1
 
0.1%
18 1
 
0.1%
7 1
 
0.1%
(Missing) 747
85.8%
ValueCountFrequency (%)
0 110
12.6%
1 1
 
0.1%
3 1
 
0.1%
5 1
 
0.1%
6 3
 
0.3%
7 1
 
0.1%
10 3
 
0.3%
13 1
 
0.1%
16 1
 
0.1%
18 1
 
0.1%
ValueCountFrequency (%)
21 1
 
0.1%
18 1
 
0.1%
16 1
 
0.1%
13 1
 
0.1%
10 3
0.3%
7 1
 
0.1%
6 3
0.3%
5 1
 
0.1%
3 1
 
0.1%
1 1
 
0.1%

주변환경명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
<NA>
856 
기타
 
12
유흥업소밀집지역
 
2
주택가주변
 
1

Length

Max length8
Median length4
Mean length3.9827784
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> 856
98.3%
기타 12
 
1.4%
유흥업소밀집지역 2
 
0.2%
주택가주변 1
 
0.1%

Length

2024-05-11T04:38:56.410304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:38:56.905760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 856
98.3%
기타 12
 
1.4%
유흥업소밀집지역 2
 
0.2%
주택가주변 1
 
0.1%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing871
Missing (%)100.0%
Memory size7.8 KiB

보험기관명
Categorical

IMBALANCE 

Distinct33
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
<NA>
649 
서울보증보험
82 
한국관광협회중앙회 여행공제회
 
33
서울보증보험주식회사
 
25
한국관광협회
 
13
Other values (28)
69 

Length

Max length18
Median length4
Mean length5.2893226
Min length4

Unique

Unique16 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 649
74.5%
서울보증보험 82
 
9.4%
한국관광협회중앙회 여행공제회 33
 
3.8%
서울보증보험주식회사 25
 
2.9%
한국관광협회 13
 
1.5%
서울보증보험(주) 12
 
1.4%
서울보증보험(3천만원) 8
 
0.9%
여행공제회 8
 
0.9%
한국관광협회중앙회 4
 
0.5%
서울보증보험(30,000,000) 4
 
0.5%
Other values (23) 33
 
3.8%

Length

2024-05-11T04:38:57.526129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 649
70.8%
서울보증보험 89
 
9.7%
여행공제회 42
 
4.6%
한국관광협회중앙회 38
 
4.1%
서울보증보험주식회사 25
 
2.7%
한국관광협회 14
 
1.5%
서울보증보험(주 12
 
1.3%
서울보증보험(3천만원 8
 
0.9%
서울보증보험(30,000,000 4
 
0.4%
3천 3
 
0.3%
Other values (22) 33
 
3.6%

건물용도명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
<NA>
756 
근린생활시설
105 
사무실
 
10

Length

Max length6
Median length4
Mean length4.2296211
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 756
86.8%
근린생활시설 105
 
12.1%
사무실 10
 
1.1%

Length

2024-05-11T04:38:58.318849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:38:58.913491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 756
86.8%
근린생활시설 105
 
12.1%
사무실 10
 
1.1%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)7.4%
Missing749
Missing (%)86.0%
Infinite0
Infinite (%)0.0%
Mean0.86885246
Minimum0
Maximum15
Zeros109
Zeros (%)12.5%
Negative0
Negative (%)0.0%
Memory size7.8 KiB
2024-05-11T04:38:59.608322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5.95
Maximum15
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.8975647
Coefficient of variation (CV)3.334933
Kurtosis13.720832
Mean0.86885246
Median Absolute Deviation (MAD)0
Skewness3.7217768
Sum106
Variance8.3958813
MonotonicityNot monotonic
2024-05-11T04:39:00.495373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 109
 
12.5%
5 4
 
0.5%
3 2
 
0.2%
15 2
 
0.2%
10 1
 
0.1%
14 1
 
0.1%
12 1
 
0.1%
8 1
 
0.1%
6 1
 
0.1%
(Missing) 749
86.0%
ValueCountFrequency (%)
0 109
12.5%
3 2
 
0.2%
5 4
 
0.5%
6 1
 
0.1%
8 1
 
0.1%
10 1
 
0.1%
12 1
 
0.1%
14 1
 
0.1%
15 2
 
0.2%
ValueCountFrequency (%)
15 2
 
0.2%
14 1
 
0.1%
12 1
 
0.1%
10 1
 
0.1%
8 1
 
0.1%
6 1
 
0.1%
5 4
 
0.5%
3 2
 
0.2%
0 109
12.5%

지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)5.0%
Missing750
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean0.18181818
Minimum0
Maximum6
Zeros110
Zeros (%)12.6%
Negative0
Negative (%)0.0%
Memory size7.8 KiB
2024-05-11T04:39:01.123950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.75277265
Coefficient of variation (CV)4.1402496
Kurtosis36.092661
Mean0.18181818
Median Absolute Deviation (MAD)0
Skewness5.6449741
Sum22
Variance0.56666667
MonotonicityNot monotonic
2024-05-11T04:39:01.844175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 110
 
12.6%
1 7
 
0.8%
4 1
 
0.1%
2 1
 
0.1%
3 1
 
0.1%
6 1
 
0.1%
(Missing) 750
86.1%
ValueCountFrequency (%)
0 110
12.6%
1 7
 
0.8%
2 1
 
0.1%
3 1
 
0.1%
4 1
 
0.1%
6 1
 
0.1%
ValueCountFrequency (%)
6 1
 
0.1%
4 1
 
0.1%
3 1
 
0.1%
2 1
 
0.1%
1 7
 
0.8%
0 110
12.6%

객실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
<NA>
844 
0
 
27

Length

Max length4
Median length4
Mean length3.9070034
Min length1

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> 844
96.9%
0 27
 
3.1%

Length

2024-05-11T04:39:02.478404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:39:03.024482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 844
96.9%
0 27
 
3.1%

건축연면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
<NA>
844 
0
 
27

Length

Max length4
Median length4
Mean length3.9070034
Min length1

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> 844
96.9%
0 27
 
3.1%

Length

2024-05-11T04:39:03.402133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:39:03.891709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 844
96.9%
0 27
 
3.1%

영문상호명
Text

MISSING 

Distinct30
Distinct (%)100.0%
Missing841
Missing (%)96.6%
Memory size6.9 KiB
2024-05-11T04:39:04.454418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length15.5
Mean length13.866667
Min length2

Characters and Unicode

Total characters416
Distinct characters47
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st rowENAF TOUR Co., Ltd.
2nd rowPharos TravelArtifex Corp.,
3rd rowHGN Co., Ltd.
4th rowSTL GTOUR Co., Ltd.
5th rowicoos
ValueCountFrequency (%)
co 9
 
12.7%
ltd 9
 
12.7%
tour 9
 
12.7%
travel 2
 
2.8%
korea 2
 
2.8%
grid 1
 
1.4%
tng 1
 
1.4%
network 1
 
1.4%
laps 1
 
1.4%
goldriver 1
 
1.4%
Other values (35) 35
49.3%
2024-05-11T04:39:05.652262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
41
 
9.9%
o 27
 
6.5%
T 26
 
6.2%
r 21
 
5.0%
. 18
 
4.3%
a 17
 
4.1%
e 16
 
3.8%
t 16
 
3.8%
L 15
 
3.6%
C 14
 
3.4%
Other values (37) 205
49.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 173
41.6%
Uppercase Letter 173
41.6%
Space Separator 41
 
9.9%
Other Punctuation 28
 
6.7%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
T 26
15.0%
L 15
 
8.7%
C 14
 
8.1%
R 13
 
7.5%
A 11
 
6.4%
I 11
 
6.4%
O 11
 
6.4%
E 10
 
5.8%
G 9
 
5.2%
U 9
 
5.2%
Other values (12) 44
25.4%
Lowercase Letter
ValueCountFrequency (%)
o 27
15.6%
r 21
12.1%
a 17
9.8%
e 16
9.2%
t 16
9.2%
l 12
6.9%
d 11
 
6.4%
i 9
 
5.2%
u 8
 
4.6%
n 7
 
4.0%
Other values (11) 29
16.8%
Other Punctuation
ValueCountFrequency (%)
. 18
64.3%
, 10
35.7%
Space Separator
ValueCountFrequency (%)
41
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 346
83.2%
Common 70
 
16.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 27
 
7.8%
T 26
 
7.5%
r 21
 
6.1%
a 17
 
4.9%
e 16
 
4.6%
t 16
 
4.6%
L 15
 
4.3%
C 14
 
4.0%
R 13
 
3.8%
l 12
 
3.5%
Other values (33) 169
48.8%
Common
ValueCountFrequency (%)
41
58.6%
. 18
25.7%
, 10
 
14.3%
- 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 416
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
41
 
9.9%
o 27
 
6.5%
T 26
 
6.2%
r 21
 
5.0%
. 18
 
4.3%
a 17
 
4.1%
e 16
 
3.8%
t 16
 
3.8%
L 15
 
3.6%
C 14
 
3.4%
Other values (37) 205
49.3%

영문상호주소
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
<NA>
840 
Overseas Travel Business
 
12
OVERSEAS TRAVEL BUSINESS
 
10
Overseas travel business
 
7
Overseas Travel Buisness
 
1

Length

Max length24
Median length4
Mean length4.7106774
Min length4

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 840
96.4%
Overseas Travel Business 12
 
1.4%
OVERSEAS TRAVEL BUSINESS 10
 
1.1%
Overseas travel business 7
 
0.8%
Overseas Travel Buisness 1
 
0.1%
OverseasTravel Business 1
 
0.1%

Length

2024-05-11T04:39:06.115071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:39:06.476746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 840
90.1%
overseas 30
 
3.2%
travel 30
 
3.2%
business 30
 
3.2%
buisness 1
 
0.1%
overseastravel 1
 
0.1%

선박총톤수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
<NA>
844 
0
 
27

Length

Max length4
Median length4
Mean length3.9070034
Min length1

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> 844
96.9%
0 27
 
3.1%

Length

2024-05-11T04:39:06.894760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:39:07.237023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 844
96.9%
0 27
 
3.1%

선박척수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
<NA>
844 
0
 
27

Length

Max length4
Median length4
Mean length3.9070034
Min length1

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> 844
96.9%
0 27
 
3.1%

Length

2024-05-11T04:39:07.598988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:39:07.941476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 844
96.9%
0 27
 
3.1%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing871
Missing (%)100.0%
Memory size7.8 KiB

무대면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
<NA>
844 
0
 
27

Length

Max length4
Median length4
Mean length3.9070034
Min length1

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> 844
96.9%
0 27
 
3.1%

Length

2024-05-11T04:39:08.303078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:39:08.636373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 844
96.9%
0 27
 
3.1%

좌석수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
<NA>
844 
0
 
27

Length

Max length4
Median length4
Mean length3.9070034
Min length1

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> 844
96.9%
0 27
 
3.1%

Length

2024-05-11T04:39:09.017691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:39:09.408932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 844
96.9%
0 27
 
3.1%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing871
Missing (%)100.0%
Memory size7.8 KiB

회의실별동시수용인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
<NA>
844 
0
 
27

Length

Max length4
Median length4
Mean length3.9070034
Min length1

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> 844
96.9%
0 27
 
3.1%

Length

2024-05-11T04:39:09.790964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:39:10.106298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 844
96.9%
0 27
 
3.1%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct24
Distinct (%)11.3%
Missing659
Missing (%)75.7%
Infinite0
Infinite (%)0.0%
Mean5.4489151
Minimum0
Maximum208.03
Zeros186
Zeros (%)21.4%
Negative0
Negative (%)0.0%
Memory size7.8 KiB
2024-05-11T04:39:10.516598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile38.3455
Maximum208.03
Range208.03
Interquartile range (IQR)0

Descriptive statistics

Standard deviation20.731642
Coefficient of variation (CV)3.8047283
Kurtosis48.947151
Mean5.4489151
Median Absolute Deviation (MAD)0
Skewness6.1769984
Sum1155.17
Variance429.80096
MonotonicityNot monotonic
2024-05-11T04:39:10.944654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0.0 186
 
21.4%
30.02 2
 
0.2%
39.0 2
 
0.2%
10.0 2
 
0.2%
30.89 1
 
0.1%
35.71 1
 
0.1%
6.6 1
 
0.1%
19.83 1
 
0.1%
41.0 1
 
0.1%
4.0 1
 
0.1%
Other values (14) 14
 
1.6%
(Missing) 659
75.7%
ValueCountFrequency (%)
0.0 186
21.4%
4.0 1
 
0.1%
6.6 1
 
0.1%
8.0 1
 
0.1%
10.0 2
 
0.2%
19.83 1
 
0.1%
19.93 1
 
0.1%
26.4 1
 
0.1%
27.74 1
 
0.1%
30.02 2
 
0.2%
ValueCountFrequency (%)
208.03 1
0.1%
122.8 1
0.1%
79.92 1
0.1%
73.46 1
0.1%
72.0 1
0.1%
62.91 1
0.1%
48.05 1
0.1%
41.0 1
0.1%
40.0 1
0.1%
39.0 2
0.2%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing871
Missing (%)100.0%
Memory size7.8 KiB

놀이시설수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
<NA>
844 
0
 
27

Length

Max length4
Median length4
Mean length3.9070034
Min length1

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> 844
96.9%
0 27
 
3.1%

Length

2024-05-11T04:39:11.340170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:39:11.674815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 844
96.9%
0 27
 
3.1%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing871
Missing (%)100.0%
Memory size7.8 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing871
Missing (%)100.0%
Memory size7.8 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing871
Missing (%)100.0%
Memory size7.8 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing871
Missing (%)100.0%
Memory size7.8 KiB

기획여행보험시작일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
<NA>
868 
20190115
 
1
20170101
 
1
20190429
 
1

Length

Max length8
Median length4
Mean length4.0137773
Min length4

Unique

Unique3 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 868
99.7%
20190115 1
 
0.1%
20170101 1
 
0.1%
20190429 1
 
0.1%

Length

2024-05-11T04:39:12.076007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:39:12.454792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 868
99.7%
20190115 1
 
0.1%
20170101 1
 
0.1%
20190429 1
 
0.1%

기획여행보험종료일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
<NA>
868 
20200114
 
1
20171231
 
1
20200428
 
1

Length

Max length8
Median length4
Mean length4.0137773
Min length4

Unique

Unique3 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 868
99.7%
20200114 1
 
0.1%
20171231 1
 
0.1%
20200428 1
 
0.1%

Length

2024-05-11T04:39:12.918526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:39:13.296366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 868
99.7%
20200114 1
 
0.1%
20171231 1
 
0.1%
20200428 1
 
0.1%

자본금
Real number (ℝ)

MISSING 

Distinct46
Distinct (%)17.0%
Missing600
Missing (%)68.9%
Infinite0
Infinite (%)0.0%
Mean1.1077069 × 108
Minimum0
Maximum4.1 × 109
Zeros6
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size7.8 KiB
2024-05-11T04:39:13.812226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30000000
Q160000000
median1 × 108
Q31 × 108
95-th percentile1.5391703 × 108
Maximum4.1 × 109
Range4.1 × 109
Interquartile range (IQR)40000000

Descriptive statistics

Standard deviation2.6137043 × 108
Coefficient of variation (CV)2.359563
Kurtosis203.54133
Mean1.1077069 × 108
Median Absolute Deviation (MAD)30000000
Skewness13.587867
Sum3.0018857 × 1010
Variance6.8314502 × 1016
MonotonicityNot monotonic
2024-05-11T04:39:14.523348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
100000000 122
 
14.0%
60000000 61
 
7.0%
30000000 14
 
1.6%
150000000 12
 
1.4%
90000000 7
 
0.8%
0 6
 
0.7%
10000000 4
 
0.5%
300000000 2
 
0.2%
65000000 2
 
0.2%
45000000 2
 
0.2%
Other values (36) 39
 
4.5%
(Missing) 600
68.9%
ValueCountFrequency (%)
0 6
0.7%
10000000 4
 
0.5%
30000000 14
1.6%
30166840 1
 
0.1%
32000000 1
 
0.1%
33162452 1
 
0.1%
35000000 1
 
0.1%
40000000 1
 
0.1%
45000000 2
 
0.2%
48927000 1
 
0.1%
ValueCountFrequency (%)
4100000000 1
0.1%
1000000000 2
0.2%
600100000 1
0.1%
400000000 1
0.1%
300000000 2
0.2%
280000000 1
0.1%
246000000 1
0.1%
200000000 2
0.2%
190000000 1
0.1%
160000000 1
0.1%

보험시작일자
Real number (ℝ)

MISSING 

Distinct215
Distinct (%)92.7%
Missing639
Missing (%)73.4%
Infinite0
Infinite (%)0.0%
Mean20135331
Minimum20030313
Maximum20210528
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.8 KiB
2024-05-11T04:39:15.099345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20030313
5-th percentile20050813
Q120110196
median20140878
Q320170119
95-th percentile20195227
Maximum20210528
Range180215
Interquartile range (IQR)59923.5

Descriptive statistics

Standard deviation43168.993
Coefficient of variation (CV)0.0021439426
Kurtosis-0.4492238
Mean20135331
Median Absolute Deviation (MAD)30050
Skewness-0.4676391
Sum4.6713967 × 109
Variance1.863562 × 109
MonotonicityNot monotonic
2024-05-11T04:39:15.649872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20150601 3
 
0.3%
20150401 3
 
0.3%
20101206 2
 
0.2%
20160401 2
 
0.2%
20180316 2
 
0.2%
20140701 2
 
0.2%
20160921 2
 
0.2%
20181001 2
 
0.2%
20190614 2
 
0.2%
20190628 2
 
0.2%
Other values (205) 210
 
24.1%
(Missing) 639
73.4%
ValueCountFrequency (%)
20030313 1
0.1%
20030403 1
0.1%
20030926 1
0.1%
20040309 1
0.1%
20040705 1
0.1%
20041024 1
0.1%
20050427 1
0.1%
20050523 1
0.1%
20050601 1
0.1%
20050706 1
0.1%
ValueCountFrequency (%)
20210528 1
0.1%
20210309 1
0.1%
20201121 1
0.1%
20201101 1
0.1%
20201001 1
0.1%
20200628 1
0.1%
20200613 1
0.1%
20200405 1
0.1%
20200317 1
0.1%
20200221 1
0.1%

보험종료일자
Real number (ℝ)

MISSING 

Distinct218
Distinct (%)94.0%
Missing639
Missing (%)73.4%
Infinite0
Infinite (%)0.0%
Mean20145421
Minimum20040313
Maximum20220527
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.8 KiB
2024-05-11T04:39:16.242264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040313
5-th percentile20060812
Q120120282
median20150877
Q320180118
95-th percentile20205226
Maximum20220527
Range180214
Interquartile range (IQR)59836

Descriptive statistics

Standard deviation43158.049
Coefficient of variation (CV)0.0021423256
Kurtosis-0.44104511
Mean20145421
Median Absolute Deviation (MAD)30049.5
Skewness-0.47128412
Sum4.6737376 × 109
Variance1.8626172 × 109
MonotonicityNot monotonic
2024-05-11T04:39:17.285826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20130312 3
 
0.3%
20160331 3
 
0.3%
20160531 2
 
0.2%
20120811 2
 
0.2%
20140308 2
 
0.2%
20191001 2
 
0.2%
20200613 2
 
0.2%
20200924 2
 
0.2%
20170331 2
 
0.2%
20111206 2
 
0.2%
Other values (208) 210
 
24.1%
(Missing) 639
73.4%
ValueCountFrequency (%)
20040313 1
0.1%
20040403 1
0.1%
20040926 1
0.1%
20050309 1
0.1%
20050705 1
0.1%
20051023 1
0.1%
20060427 1
0.1%
20060522 1
0.1%
20060531 1
0.1%
20060706 1
0.1%
ValueCountFrequency (%)
20220527 1
0.1%
20220308 1
0.1%
20211120 1
0.1%
20211031 1
0.1%
20210930 1
0.1%
20210628 1
0.1%
20210613 1
0.1%
20210404 1
0.1%
20210316 1
0.1%
20210220 1
0.1%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing871
Missing (%)100.0%
Memory size7.8 KiB

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct23
Distinct (%)10.8%
Missing659
Missing (%)75.7%
Infinite0
Infinite (%)0.0%
Mean5.4528302
Minimum0
Maximum208
Zeros186
Zeros (%)21.4%
Negative0
Negative (%)0.0%
Memory size7.8 KiB
2024-05-11T04:39:17.978871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile38.45
Maximum208
Range208
Interquartile range (IQR)0

Descriptive statistics

Standard deviation20.734445
Coefficient of variation (CV)3.8025106
Kurtosis48.913532
Mean5.4528302
Median Absolute Deviation (MAD)0
Skewness6.1748163
Sum1156
Variance429.9172
MonotonicityNot monotonic
2024-05-11T04:39:18.510678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 186
 
21.4%
30 2
 
0.2%
39 2
 
0.2%
10 2
 
0.2%
20 2
 
0.2%
31 1
 
0.1%
36 1
 
0.1%
7 1
 
0.1%
41 1
 
0.1%
4 1
 
0.1%
Other values (13) 13
 
1.5%
(Missing) 659
75.7%
ValueCountFrequency (%)
0 186
21.4%
4 1
 
0.1%
7 1
 
0.1%
8 1
 
0.1%
10 2
 
0.2%
20 2
 
0.2%
26 1
 
0.1%
28 1
 
0.1%
30 2
 
0.2%
31 1
 
0.1%
ValueCountFrequency (%)
208 1
0.1%
123 1
0.1%
80 1
0.1%
73 1
0.1%
72 1
0.1%
63 1
0.1%
48 1
0.1%
41 1
0.1%
40 1
0.1%
39 2
0.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03130000CDFI226002198500000119851012<NA>3폐업03폐업<NA><NA><NA><NA>794-1575<NA>121812서울특별시 마포구 도화동 173-0번지 삼창프라쟈1317호서울특별시 마포구 마포대로 63-8 (도화동,삼창프라쟈1317호)<NA>경주보문관광(주)2003-04-18 14:56:25I2018-08-31 23:59:59.0<NA>195324.793654448885.430093국외여행업관광사업<NA>0<NA><NA><NA><NA>00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
13130000CDFI226002198700000119870724<NA>4취소/말소/만료/정지/중지32신고취소<NA><NA><NA><NA>564-5666<NA>121050서울특별시 마포구 마포동 35-1번지서울특별시 마포구 마포대로 15 (마포동)<NA>(주)인터컨티넨탈여행사2003-04-18 14:56:41I2018-08-31 23:59:59.0<NA>194978.350113448487.374314국외여행업관광사업<NA><NA><NA><NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
23130000CDFI226002198800000119880709<NA>3폐업03폐업19980328<NA><NA><NA>704-7500<NA>121815서울특별시 마포구 도화동 541-0번지서울특별시 마포구 마포대로 38 (도화동)<NA>주-서울우성여행사2003-04-18 14:56:25I2018-08-31 23:59:59.0<NA>195214.309335448572.253976국외여행업관광사업<NA><NA><NA><NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
33130000CDFI226002198900000119890801<NA>3폐업03폐업19971020<NA><NA><NA><NA><NA>121815서울특별시 마포구 도화동 544-0번지서울특별시 마포구 큰우물로 76 (도화동)<NA>주-세진여행사2003-04-18 14:56:41I2018-08-31 23:59:59.0<NA>195153.205994448725.077064국외여행업관광사업<NA><NA><NA><NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
43130000CDFI226002199000000219900621<NA>3폐업03폐업19970205<NA><NA><NA><NA><NA>121816서울특별시 마포구 동교동 152-14번지서울특별시 마포구 동교로 212-7 (동교동)<NA>주-세양항공2003-04-18 14:56:25I2018-08-31 23:59:59.0<NA>193218.115291450794.095429국외여행업관광사업<NA><NA><NA><NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
53130000CDFI226002199000000319900709201212074취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>702-2987<NA>121722서울특별시 마포구 노고산동 107-111번지 미화빌딩 505호서울특별시 마포구 백범로 18, 505호 (노고산동,미화빌딩)<NA>한국코스모스관광-주2012-12-07 15:47:45I2018-08-31 23:59:59.0<NA>194354.072327450091.328603국외여행업관광사업<NA><NA><NA><NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
63130000CDFI226002199100000119911206<NA>3폐업03폐업19980323<NA><NA><NA>711-9111<NA>121815서울특별시 마포구 도화동 538-0번지서울특별시 마포구 큰우물로 75 (도화동)<NA>주-위동해운2003-04-18 14:56:25I2018-08-31 23:59:59.0<NA>195184.3359448780.268775국외여행업관광사업<NA><NA><NA><NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
73130000CDFI226002199200000219920710<NA>3폐업03폐업20010102<NA><NA><NA>704-9933<NA>121703서울특별시 마포구 마포동 350-0번지 한신코아 515호서울특별시 마포구 마포대로4다길 18, 515호 (마포동,한신코아)<NA>주-국제산업교류협회2003-04-18 14:56:41I2018-08-31 23:59:59.0<NA>194974.587674448229.063825국외여행업관광사업<NA><NA><NA><NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
83130000CDFI226002199300000119930407<NA>3폐업03폐업19970205<NA><NA><NA><NA><NA>121859서울특별시 마포구 아현동 330-3번지 송림빌딩 302호서울특별시 마포구 신촌로 266, 302호 (아현동,송림빌딩)<NA>주 -삼호항공여행사2003-04-18 14:56:41I2018-08-31 23:59:59.0<NA>195963.808713450536.468632국외여행업관광사업<NA><NA><NA><NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
93130000CDFI226002199400000219940504<NA>3폐업03폐업20010522<NA><NA><NA><NA><NA>121881서울특별시 마포구 창전동 19-8번지서울특별시 마포구 서강로 77 (창전동)<NA>이랜드 관광2003-04-18 14:56:25I2018-08-31 23:59:59.0<NA>193873.832458449729.562787국외여행업관광사업<NA><NA><NA><NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
8613130000CDFI22600220240000072007-05-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>121-842서울특별시 마포구 서교동 459-1 경정빌딩 3층<NA><NA>(주)마이트래블2024-03-21 13:13:34I2023-12-02 22:03:00.0<NA>192452.067261450394.978082<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8623130000CDFI22600220240000082012-10-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>121-230서울특별시 마포구 망원동 433-5<NA><NA>(주)투어카페2024-03-21 13:13:41I2023-12-02 22:03:00.0<NA>191363.891153450778.699063<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8633130000CDFI22600220240000091995-02-03<NA>1영업/정상13영업중<NA><NA><NA><NA>706-0471<NA>121-805서울특별시 마포구 공덕동 404 풍림빌라 623호<NA><NA>(주)예손항공여행사2024-03-21 13:13:49I2023-12-02 22:03:00.0<NA>195703.425297449330.800718<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8643130000CDFI22600220240000101999-11-30<NA>1영업/정상13영업중<NA><NA><NA><NA>3663-0023<NA>121-805서울특별시 마포구 공덕동 456 르네상스타워 1405호<NA><NA>(주)국제문화여행사앤드글로벌어소시에잇츠2024-03-21 13:14:00I2023-12-02 22:03:00.0<NA>195766.58807449083.306923<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8653130000CDFI22600220240000112011-03-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 용강동 502 래미안 마포 리버웰 121동 119호서울특별시 마포구 토정로31길 23, 래미안 마포 리버웰 121동 119호 (용강동)04161(주)트렌유럽2024-04-23 15:15:43U2023-12-03 22:05:00.0<NA>194792.946493448900.109548<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8663130000CDFI22600220240000122018-09-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 서교동 482-21 3302호서울특별시 마포구 월드컵로8길 45-8, 양성빌딩 3층 3302호 (서교동)04029키르기즈에어2024-04-18 13:11:03I2023-12-03 22:00:00.0<NA>192408.728864450178.048592<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8673130000CDFI22600220240000132024-04-11<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 신공덕동 167 메트로디오빌 1722호서울특별시 마포구 백범로 199, 메트로디오빌 1722호 (신공덕동)04195후-트레블2024-04-18 10:38:34I2023-12-03 22:00:00.0<NA>195764.944565449028.002732<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8683130000CDFI22600220240000142021-04-30<NA>1영업/정상13영업중<NA><NA><NA><NA>02-736-4840<NA><NA>서울특별시 마포구 공덕동 461 마포신영지웰 B동 1606호서울특별시 마포구 백범로 178, 마포신영지웰 B동 1606호 (공덕동)04148(주)나폴레옹투어2024-04-25 10:24:25I2023-12-03 22:07:00.0<NA>195518.943872449071.651463<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8693130000CDFI22600220240000152024-04-25<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 서교동 347-21 기린빌딩서울특별시 마포구 어울마당로 130, 기린빌딩 3813호 (서교동)04053조이플저니2024-04-25 14:06:09I2023-12-03 22:07:00.0<NA>193260.779825450395.053478<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8703130000CDFI22600220240000162024-05-02<NA>1영업/정상13영업중<NA><NA><NA><NA>050-6605-1100<NA><NA>서울특별시 마포구 도화동 541 일신빌딩서울특별시 마포구 마포대로 38, 일신빌딩 9층 907호 (도화동)04174(주)마이카운슬러2024-05-02 17:28:50I2023-12-05 00:04:00.0<NA>195214.309335448572.253976<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>