Overview

Dataset statistics

Number of variables60
Number of observations71
Missing cells1634
Missing cells (%)38.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory36.1 KiB
Average record size in memory520.9 B

Variable types

Categorical23
Text9
DateTime4
Unsupported14
Numeric10

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,문화사업자구분명,지역구분명,총층수,주변환경명,제작취급품목내용,보험기관명,건물용도명,지상층수,지하층수,객실수,건축연면적,영문상호명,영문상호주소,선박총톤수,선박척수,선박제원,무대면적,좌석수,기념품종류,회의실별동시수용인원,시설면적,놀이기구수내역,놀이시설수,방송시설유무,발전시설유무,의무실유무,안내소유무,기획여행보험시작일자,기획여행보험종료일자,자본금,보험시작일자,보험종료일자,부대시설내역,시설규모
Author동대문구
URLhttps://data.seoul.go.kr/dataList/OA-17557/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (68.7%)Imbalance
휴업시작일자 is highly imbalanced (89.3%)Imbalance
휴업종료일자 is highly imbalanced (89.3%)Imbalance
주변환경명 is highly imbalanced (60.0%)Imbalance
보험기관명 is highly imbalanced (54.2%)Imbalance
건물용도명 is highly imbalanced (50.2%)Imbalance
객실수 is highly imbalanced (81.5%)Imbalance
건축연면적 is highly imbalanced (81.5%)Imbalance
선박총톤수 is highly imbalanced (81.5%)Imbalance
선박척수 is highly imbalanced (81.5%)Imbalance
무대면적 is highly imbalanced (81.5%)Imbalance
좌석수 is highly imbalanced (81.5%)Imbalance
회의실별동시수용인원 is highly imbalanced (81.5%)Imbalance
놀이시설수 is highly imbalanced (81.5%)Imbalance
폐업일자 has 19 (26.8%) missing valuesMissing
재개업일자 has 71 (100.0%) missing valuesMissing
전화번호 has 18 (25.4%) missing valuesMissing
소재지면적 has 71 (100.0%) missing valuesMissing
소재지우편번호 has 25 (35.2%) missing valuesMissing
도로명주소 has 1 (1.4%) missing valuesMissing
도로명우편번호 has 35 (49.3%) missing valuesMissing
업태구분명 has 71 (100.0%) missing valuesMissing
지역구분명 has 59 (83.1%) missing valuesMissing
총층수 has 50 (70.4%) missing valuesMissing
제작취급품목내용 has 71 (100.0%) missing valuesMissing
지상층수 has 47 (66.2%) missing valuesMissing
영문상호명 has 69 (97.2%) missing valuesMissing
영문상호주소 has 69 (97.2%) missing valuesMissing
선박제원 has 71 (100.0%) missing valuesMissing
기념품종류 has 71 (100.0%) missing valuesMissing
시설면적 has 49 (69.0%) missing valuesMissing
놀이기구수내역 has 71 (100.0%) missing valuesMissing
방송시설유무 has 71 (100.0%) missing valuesMissing
발전시설유무 has 71 (100.0%) missing valuesMissing
의무실유무 has 71 (100.0%) missing valuesMissing
안내소유무 has 71 (100.0%) missing valuesMissing
기획여행보험시작일자 has 71 (100.0%) missing valuesMissing
기획여행보험종료일자 has 71 (100.0%) missing valuesMissing
자본금 has 50 (70.4%) missing valuesMissing
보험시작일자 has 50 (70.4%) missing valuesMissing
보험종료일자 has 50 (70.4%) missing valuesMissing
부대시설내역 has 71 (100.0%) missing valuesMissing
시설규모 has 49 (69.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 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
기획여행보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
부대시설내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 has 10 (14.1%) zerosZeros
지상층수 has 10 (14.1%) zerosZeros
시설면적 has 13 (18.3%) zerosZeros
자본금 has 1 (1.4%) zerosZeros
시설규모 has 13 (18.3%) zerosZeros

Reproduction

Analysis started2024-04-29 19:20:48.760909
Analysis finished2024-04-29 19:20:49.694736
Duration0.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size700.0 B
3050000
71 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3050000
2nd row3050000
3rd row3050000
4th row3050000
5th row3050000

Common Values

ValueCountFrequency (%)
3050000 71
100.0%

Length

2024-04-30T04:20:49.764489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:20:49.840243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3050000 71
100.0%

관리번호
Text

UNIQUE 

Distinct71
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size700.0 B
2024-04-30T04:20:49.979840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1420
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

Unique71 ?
Unique (%)100.0%

Sample

1st rowCDFI2260011982000001
2nd rowCDFI2260011990000001
3rd rowCDFI2260011990000002
4th rowCDFI2260011992000002
5th rowCDFI2260011996000001
ValueCountFrequency (%)
cdfi2260011982000001 1
 
1.4%
cdfi2260012016000003 1
 
1.4%
cdfi2260012015000005 1
 
1.4%
cdfi2260012015000001 1
 
1.4%
cdfi2260012014000003 1
 
1.4%
cdfi2260012012000007 1
 
1.4%
cdfi2260012012000006 1
 
1.4%
cdfi2260012012000001 1
 
1.4%
cdfi2260012011000001 1
 
1.4%
cdfi2260012008000003 1
 
1.4%
Other values (61) 61
85.9%
2024-04-30T04:20:50.293826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 594
41.8%
2 233
 
16.4%
1 137
 
9.6%
6 81
 
5.7%
C 71
 
5.0%
D 71
 
5.0%
F 71
 
5.0%
I 71
 
5.0%
9 29
 
2.0%
5 14
 
1.0%
Other values (4) 48
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1136
80.0%
Uppercase Letter 284
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 594
52.3%
2 233
 
20.5%
1 137
 
12.1%
6 81
 
7.1%
9 29
 
2.6%
5 14
 
1.2%
8 13
 
1.1%
4 13
 
1.1%
3 12
 
1.1%
7 10
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
C 71
25.0%
D 71
25.0%
F 71
25.0%
I 71
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1136
80.0%
Latin 284
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 594
52.3%
2 233
 
20.5%
1 137
 
12.1%
6 81
 
7.1%
9 29
 
2.6%
5 14
 
1.2%
8 13
 
1.1%
4 13
 
1.1%
3 12
 
1.1%
7 10
 
0.9%
Latin
ValueCountFrequency (%)
C 71
25.0%
D 71
25.0%
F 71
25.0%
I 71
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1420
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 594
41.8%
2 233
 
16.4%
1 137
 
9.6%
6 81
 
5.7%
C 71
 
5.0%
D 71
 
5.0%
F 71
 
5.0%
I 71
 
5.0%
9 29
 
2.0%
5 14
 
1.0%
Other values (4) 48
 
3.4%

인허가일자
Date

UNIQUE 

Distinct71
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size700.0 B
Minimum1982-10-08 00:00:00
Maximum2021-10-27 00:00:00
2024-04-30T04:20:50.418065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:20:50.533799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size700.0 B
<NA>
67 
20091102
 
4

Length

Max length8
Median length4
Mean length4.2253521
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 67
94.4%
20091102 4
 
5.6%

Length

2024-04-30T04:20:50.647686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:20:50.734705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 67
94.4%
20091102 4
 
5.6%
Distinct4
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size700.0 B
3
51 
4
13 
1
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
3 51
71.8%
4 13
 
18.3%
1 6
 
8.5%
2 1
 
1.4%

Length

2024-04-30T04:20:50.815584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:20:50.916633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 51
71.8%
4 13
 
18.3%
1 6
 
8.5%
2 1
 
1.4%

영업상태명
Categorical

Distinct4
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size700.0 B
폐업
51 
취소/말소/만료/정지/중지
13 
영업/정상
휴업
 
1

Length

Max length14
Median length2
Mean length4.4507042
Min length2

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 51
71.8%
취소/말소/만료/정지/중지 13
 
18.3%
영업/정상 6
 
8.5%
휴업 1
 
1.4%

Length

2024-04-30T04:20:51.020384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:20:51.107744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 51
71.8%
취소/말소/만료/정지/중지 13
 
18.3%
영업/정상 6
 
8.5%
휴업 1
 
1.4%
Distinct5
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size700.0 B
3
51 
31
13
35
 
4
2
 
1

Length

Max length2
Median length1
Mean length1.2676056
Min length1

Unique

Unique1 ?
Unique (%)1.4%

Sample

1st row3
2nd row3
3rd row31
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 51
71.8%
31 9
 
12.7%
13 6
 
8.5%
35 4
 
5.6%
2 1
 
1.4%

Length

2024-04-30T04:20:51.199275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:20:51.295973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 51
71.8%
31 9
 
12.7%
13 6
 
8.5%
35 4
 
5.6%
2 1
 
1.4%
Distinct5
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size700.0 B
폐업
51 
등록취소
영업중
직권말소
 
4
휴업
 
1

Length

Max length4
Median length2
Mean length2.4507042
Min length2

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 51
71.8%
등록취소 9
 
12.7%
영업중 6
 
8.5%
직권말소 4
 
5.6%
휴업 1
 
1.4%

Length

2024-04-30T04:20:51.408461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:20:51.518362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 51
71.8%
등록취소 9
 
12.7%
영업중 6
 
8.5%
직권말소 4
 
5.6%
휴업 1
 
1.4%

폐업일자
Date

MISSING 

Distinct49
Distinct (%)94.2%
Missing19
Missing (%)26.8%
Memory size700.0 B
Minimum1999-03-31 00:00:00
Maximum2023-08-03 00:00:00
2024-04-30T04:20:51.629695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:20:51.757334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size700.0 B
<NA>
70 
20020304
 
1

Length

Max length8
Median length4
Mean length4.056338
Min length4

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 70
98.6%
20020304 1
 
1.4%

Length

2024-04-30T04:20:51.894813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:20:51.992028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 70
98.6%
20020304 1
 
1.4%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size700.0 B
<NA>
70 
20020930
 
1

Length

Max length8
Median length4
Mean length4.056338
Min length4

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 70
98.6%
20020930 1
 
1.4%

Length

2024-04-30T04:20:52.125461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:20:52.230783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 70
98.6%
20020930 1
 
1.4%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing71
Missing (%)100.0%
Memory size771.0 B

전화번호
Text

MISSING 

Distinct53
Distinct (%)100.0%
Missing18
Missing (%)25.4%
Memory size700.0 B
2024-04-30T04:20:52.403895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.264151
Min length8

Characters and Unicode

Total characters544
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique53 ?
Unique (%)100.0%

Sample

1st row02-968-3301
2nd row2213-2752
3rd row456-7737
4th row237-3300
5th row741-4163
ValueCountFrequency (%)
02-2233-3500 1
 
1.9%
02-775-3520 1
 
1.9%
02-984-2615 1
 
1.9%
02-2243-2626 1
 
1.9%
2213-3888 1
 
1.9%
02-953-1313 1
 
1.9%
02-3463-0806 1
 
1.9%
023187766 1
 
1.9%
02)931-5272 1
 
1.9%
02-2282-2008 1
 
1.9%
Other values (43) 43
81.1%
2024-04-30T04:20:52.721879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 96
17.6%
- 82
15.1%
0 66
12.1%
3 52
9.6%
9 45
8.3%
6 40
7.4%
7 39
7.2%
5 38
 
7.0%
1 30
 
5.5%
8 30
 
5.5%
Other values (2) 26
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 461
84.7%
Dash Punctuation 82
 
15.1%
Close Punctuation 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 96
20.8%
0 66
14.3%
3 52
11.3%
9 45
9.8%
6 40
8.7%
7 39
8.5%
5 38
 
8.2%
1 30
 
6.5%
8 30
 
6.5%
4 25
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 82
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 544
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 96
17.6%
- 82
15.1%
0 66
12.1%
3 52
9.6%
9 45
8.3%
6 40
7.4%
7 39
7.2%
5 38
 
7.0%
1 30
 
5.5%
8 30
 
5.5%
Other values (2) 26
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 544
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 96
17.6%
- 82
15.1%
0 66
12.1%
3 52
9.6%
9 45
8.3%
6 40
7.4%
7 39
7.2%
5 38
 
7.0%
1 30
 
5.5%
8 30
 
5.5%
Other values (2) 26
 
4.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing71
Missing (%)100.0%
Memory size771.0 B

소재지우편번호
Text

MISSING 

Distinct32
Distinct (%)69.6%
Missing25
Missing (%)35.2%
Memory size700.0 B
2024-04-30T04:20:52.910903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0434783
Min length6

Characters and Unicode

Total characters278
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)52.2%

Sample

1st row130851
2nd row130846
3rd row130800
4th row130800
5th row130812
ValueCountFrequency (%)
130812 4
 
8.7%
130864 3
 
6.5%
130842 3
 
6.5%
130823 3
 
6.5%
130876 3
 
6.5%
130811 2
 
4.3%
130820 2
 
4.3%
130800 2
 
4.3%
130-814 1
 
2.2%
130070 1
 
2.2%
Other values (22) 22
47.8%
2024-04-30T04:20:53.176698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 63
22.7%
0 63
22.7%
3 53
19.1%
8 41
14.7%
4 15
 
5.4%
2 13
 
4.7%
6 10
 
3.6%
7 9
 
3.2%
5 7
 
2.5%
- 2
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 276
99.3%
Dash Punctuation 2
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 63
22.8%
0 63
22.8%
3 53
19.2%
8 41
14.9%
4 15
 
5.4%
2 13
 
4.7%
6 10
 
3.6%
7 9
 
3.3%
5 7
 
2.5%
9 2
 
0.7%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 278
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 63
22.7%
0 63
22.7%
3 53
19.1%
8 41
14.7%
4 15
 
5.4%
2 13
 
4.7%
6 10
 
3.6%
7 9
 
3.2%
5 7
 
2.5%
- 2
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 278
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 63
22.7%
0 63
22.7%
3 53
19.1%
8 41
14.7%
4 15
 
5.4%
2 13
 
4.7%
6 10
 
3.6%
7 9
 
3.2%
5 7
 
2.5%
- 2
 
0.7%
Distinct70
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size700.0 B
2024-04-30T04:20:53.396532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length34
Mean length28.366197
Min length20

Characters and Unicode

Total characters2014
Distinct characters127
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique69 ?
Unique (%)97.2%

Sample

1st row서울특별시 동대문구 전농동 597-25번지
2nd row서울특별시 동대문구 장안동 464-8번지 대흥빌딩 3층
3rd row서울특별시 동대문구 답십리동 2-201번지
4th row서울특별시 동대문구 답십리동 2-201번지
5th row서울특별시 동대문구 신설동 103-3번지
ValueCountFrequency (%)
서울특별시 71
19.4%
동대문구 70
19.1%
장안동 16
 
4.4%
용두동 16
 
4.4%
신설동 11
 
3.0%
답십리동 6
 
1.6%
제기동 6
 
1.6%
휘경동 5
 
1.4%
전농동 5
 
1.4%
청량리동 3
 
0.8%
Other values (141) 157
42.9%
2024-04-30T04:20:53.706709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
332
 
16.5%
153
 
7.6%
1 81
 
4.0%
76
 
3.8%
75
 
3.7%
72
 
3.6%
71
 
3.5%
71
 
3.5%
71
 
3.5%
71
 
3.5%
Other values (117) 941
46.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1216
60.4%
Decimal Number 390
 
19.4%
Space Separator 332
 
16.5%
Dash Punctuation 68
 
3.4%
Uppercase Letter 7
 
0.3%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
153
 
12.6%
76
 
6.2%
75
 
6.2%
72
 
5.9%
71
 
5.8%
71
 
5.8%
71
 
5.8%
71
 
5.8%
71
 
5.8%
48
 
3.9%
Other values (100) 437
35.9%
Decimal Number
ValueCountFrequency (%)
1 81
20.8%
3 60
15.4%
4 50
12.8%
0 50
12.8%
2 40
10.3%
5 27
 
6.9%
9 23
 
5.9%
7 22
 
5.6%
8 19
 
4.9%
6 18
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
B 4
57.1%
I 1
 
14.3%
F 1
 
14.3%
J 1
 
14.3%
Space Separator
ValueCountFrequency (%)
332
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 68
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1216
60.4%
Common 791
39.3%
Latin 7
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
153
 
12.6%
76
 
6.2%
75
 
6.2%
72
 
5.9%
71
 
5.8%
71
 
5.8%
71
 
5.8%
71
 
5.8%
71
 
5.8%
48
 
3.9%
Other values (100) 437
35.9%
Common
ValueCountFrequency (%)
332
42.0%
1 81
 
10.2%
- 68
 
8.6%
3 60
 
7.6%
4 50
 
6.3%
0 50
 
6.3%
2 40
 
5.1%
5 27
 
3.4%
9 23
 
2.9%
7 22
 
2.8%
Other values (3) 38
 
4.8%
Latin
ValueCountFrequency (%)
B 4
57.1%
I 1
 
14.3%
F 1
 
14.3%
J 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1216
60.4%
ASCII 798
39.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
332
41.6%
1 81
 
10.2%
- 68
 
8.5%
3 60
 
7.5%
4 50
 
6.3%
0 50
 
6.3%
2 40
 
5.0%
5 27
 
3.4%
9 23
 
2.9%
7 22
 
2.8%
Other values (7) 45
 
5.6%
Hangul
ValueCountFrequency (%)
153
 
12.6%
76
 
6.2%
75
 
6.2%
72
 
5.9%
71
 
5.8%
71
 
5.8%
71
 
5.8%
71
 
5.8%
71
 
5.8%
48
 
3.9%
Other values (100) 437
35.9%

도로명주소
Text

MISSING 

Distinct69
Distinct (%)98.6%
Missing1
Missing (%)1.4%
Memory size700.0 B
2024-04-30T04:20:53.959895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length40
Mean length34.128571
Min length22

Characters and Unicode

Total characters2389
Distinct characters146
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique68 ?
Unique (%)97.1%

Sample

1st row서울특별시 동대문구 왕산로 238 (전농동)
2nd row서울특별시 동대문구 천호대로 425, 3층 (장안동, 대흥빌딩)
3rd row서울특별시 동대문구 한천로 59 (답십리동)
4th row서울특별시 동대문구 한천로 59 (답십리동)
5th row서울특별시 동대문구 천호대로 10 (신설동)
ValueCountFrequency (%)
서울특별시 70
 
15.9%
동대문구 69
 
15.7%
왕산로 16
 
3.6%
장안동 11
 
2.5%
용두동 11
 
2.5%
천호대로 11
 
2.5%
신설동 6
 
1.4%
장한로 6
 
1.4%
2층 5
 
1.1%
전농동 5
 
1.1%
Other values (170) 229
52.2%
2024-04-30T04:20:54.341364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
401
 
16.8%
152
 
6.4%
94
 
3.9%
, 82
 
3.4%
78
 
3.3%
72
 
3.0%
72
 
3.0%
72
 
3.0%
71
 
3.0%
70
 
2.9%
Other values (136) 1225
51.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1423
59.6%
Space Separator 401
 
16.8%
Decimal Number 332
 
13.9%
Other Punctuation 82
 
3.4%
Close Punctuation 70
 
2.9%
Open Punctuation 70
 
2.9%
Uppercase Letter 6
 
0.3%
Dash Punctuation 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
152
 
10.7%
94
 
6.6%
78
 
5.5%
72
 
5.1%
72
 
5.1%
72
 
5.1%
71
 
5.0%
70
 
4.9%
70
 
4.9%
70
 
4.9%
Other values (117) 602
42.3%
Decimal Number
ValueCountFrequency (%)
1 66
19.9%
2 54
16.3%
3 44
13.3%
0 39
11.7%
4 36
10.8%
5 27
8.1%
7 17
 
5.1%
9 17
 
5.1%
8 17
 
5.1%
6 15
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
B 3
50.0%
F 1
 
16.7%
I 1
 
16.7%
J 1
 
16.7%
Space Separator
ValueCountFrequency (%)
401
100.0%
Other Punctuation
ValueCountFrequency (%)
, 82
100.0%
Close Punctuation
ValueCountFrequency (%)
) 70
100.0%
Open Punctuation
ValueCountFrequency (%)
( 70
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1423
59.6%
Common 960
40.2%
Latin 6
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
152
 
10.7%
94
 
6.6%
78
 
5.5%
72
 
5.1%
72
 
5.1%
72
 
5.1%
71
 
5.0%
70
 
4.9%
70
 
4.9%
70
 
4.9%
Other values (117) 602
42.3%
Common
ValueCountFrequency (%)
401
41.8%
, 82
 
8.5%
) 70
 
7.3%
( 70
 
7.3%
1 66
 
6.9%
2 54
 
5.6%
3 44
 
4.6%
0 39
 
4.1%
4 36
 
3.8%
5 27
 
2.8%
Other values (5) 71
 
7.4%
Latin
ValueCountFrequency (%)
B 3
50.0%
F 1
 
16.7%
I 1
 
16.7%
J 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1423
59.6%
ASCII 966
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
401
41.5%
, 82
 
8.5%
) 70
 
7.2%
( 70
 
7.2%
1 66
 
6.8%
2 54
 
5.6%
3 44
 
4.6%
0 39
 
4.0%
4 36
 
3.7%
5 27
 
2.8%
Other values (9) 77
 
8.0%
Hangul
ValueCountFrequency (%)
152
 
10.7%
94
 
6.6%
78
 
5.5%
72
 
5.1%
72
 
5.1%
72
 
5.1%
71
 
5.0%
70
 
4.9%
70
 
4.9%
70
 
4.9%
Other values (117) 602
42.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)80.6%
Missing35
Missing (%)49.3%
Infinite0
Infinite (%)0.0%
Mean16806.667
Minimum2420
Maximum130846
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size771.0 B
2024-04-30T04:20:54.466831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2420
5-th percentile2442.5
Q12554.25
median2578
Q32626.25
95-th percentile130836.75
Maximum130846
Range128426
Interquartile range (IQR)72

Descriptive statistics

Standard deviation40885.863
Coefficient of variation (CV)2.432717
Kurtosis4.9481574
Mean16806.667
Median Absolute Deviation (MAD)36
Skewness2.5837908
Sum605040
Variance1.6716538 × 109
MonotonicityNot monotonic
2024-04-30T04:20:54.758654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
2577 3
 
4.2%
2565 2
 
2.8%
2555 2
 
2.8%
2455 2
 
2.8%
2580 2
 
2.8%
2586 2
 
2.8%
2435 1
 
1.4%
2594 1
 
1.4%
2636 1
 
1.4%
2640 1
 
1.4%
Other values (19) 19
26.8%
(Missing) 35
49.3%
ValueCountFrequency (%)
2420 1
1.4%
2435 1
1.4%
2445 1
1.4%
2446 1
1.4%
2447 1
1.4%
2455 2
2.8%
2466 1
1.4%
2552 1
1.4%
2555 2
2.8%
2560 1
1.4%
ValueCountFrequency (%)
130846 1
1.4%
130842 1
1.4%
130835 1
1.4%
130804 1
1.4%
2646 1
1.4%
2640 1
1.4%
2636 1
1.4%
2634 1
1.4%
2633 1
1.4%
2624 1
1.4%
Distinct70
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size700.0 B
2024-04-30T04:20:54.944201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length8.028169
Min length2

Characters and Unicode

Total characters570
Distinct characters164
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique69 ?
Unique (%)97.2%

Sample

1st row(합)뉴명진관광여행사
2nd row(주)레스포관광여행사
3rd row(주)오로라관광여행사
4th row(주)희안관광
5th row(주) 아나항공여행사
ValueCountFrequency (%)
주식회사 8
 
9.4%
추억여행사 2
 
2.4%
2
 
2.4%
주)아이앤디트래블 1
 
1.2%
주)흐노니 1
 
1.2%
나래울여행사 1
 
1.2%
하나동대문 1
 
1.2%
주)교육문화여행 1
 
1.2%
trekking 1
 
1.2%
k2 1
 
1.2%
Other values (66) 66
77.6%
2024-04-30T04:20:55.256555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
44
 
7.7%
( 41
 
7.2%
) 41
 
7.2%
39
 
6.8%
31
 
5.4%
30
 
5.3%
14
 
2.5%
13
 
2.3%
11
 
1.9%
11
 
1.9%
Other values (154) 295
51.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 457
80.2%
Open Punctuation 41
 
7.2%
Close Punctuation 41
 
7.2%
Space Separator 14
 
2.5%
Uppercase Letter 12
 
2.1%
Decimal Number 3
 
0.5%
Other Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
44
 
9.6%
39
 
8.5%
31
 
6.8%
30
 
6.6%
13
 
2.8%
11
 
2.4%
11
 
2.4%
11
 
2.4%
9
 
2.0%
9
 
2.0%
Other values (139) 249
54.5%
Uppercase Letter
ValueCountFrequency (%)
K 4
33.3%
T 1
 
8.3%
C 1
 
8.3%
R 1
 
8.3%
E 1
 
8.3%
M 1
 
8.3%
G 1
 
8.3%
N 1
 
8.3%
I 1
 
8.3%
Decimal Number
ValueCountFrequency (%)
2 2
66.7%
1 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 41
100.0%
Close Punctuation
ValueCountFrequency (%)
) 41
100.0%
Space Separator
ValueCountFrequency (%)
14
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 457
80.2%
Common 101
 
17.7%
Latin 12
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
44
 
9.6%
39
 
8.5%
31
 
6.8%
30
 
6.6%
13
 
2.8%
11
 
2.4%
11
 
2.4%
11
 
2.4%
9
 
2.0%
9
 
2.0%
Other values (139) 249
54.5%
Latin
ValueCountFrequency (%)
K 4
33.3%
T 1
 
8.3%
C 1
 
8.3%
R 1
 
8.3%
E 1
 
8.3%
M 1
 
8.3%
G 1
 
8.3%
N 1
 
8.3%
I 1
 
8.3%
Common
ValueCountFrequency (%)
( 41
40.6%
) 41
40.6%
14
 
13.9%
. 2
 
2.0%
2 2
 
2.0%
1 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 457
80.2%
ASCII 113
 
19.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
44
 
9.6%
39
 
8.5%
31
 
6.8%
30
 
6.6%
13
 
2.8%
11
 
2.4%
11
 
2.4%
11
 
2.4%
9
 
2.0%
9
 
2.0%
Other values (139) 249
54.5%
ASCII
ValueCountFrequency (%)
( 41
36.3%
) 41
36.3%
14
 
12.4%
K 4
 
3.5%
. 2
 
1.8%
2 2
 
1.8%
T 1
 
0.9%
C 1
 
0.9%
R 1
 
0.9%
E 1
 
0.9%
Other values (5) 5
 
4.4%
Distinct64
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Memory size700.0 B
Minimum2003-04-18 15:38:21
Maximum2023-12-19 16:03:05
2024-04-30T04:20:55.372989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:20:55.493216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size700.0 B
I
47 
U
24 

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 47
66.2%
U 24
33.8%

Length

2024-04-30T04:20:55.600508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:20:55.684130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 47
66.2%
u 24
33.8%
Distinct22
Distinct (%)31.0%
Missing0
Missing (%)0.0%
Memory size700.0 B
Minimum2018-08-31 23:59:59
Maximum2022-12-08 00:05:00
2024-04-30T04:20:55.763931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:20:55.856799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing71
Missing (%)100.0%
Memory size771.0 B

좌표정보(X)
Real number (ℝ)

Distinct64
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean204133
Minimum202067.97
Maximum211980.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size771.0 B
2024-04-30T04:20:55.967650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum202067.97
5-th percentile202123.03
Q1202831.8
median204028.86
Q3205461.61
95-th percentile206126.52
Maximum211980.25
Range9912.2764
Interquartile range (IQR)2629.8182

Descriptive statistics

Standard deviation1672.7276
Coefficient of variation (CV)0.0081943029
Kurtosis5.2080327
Mean204133
Median Absolute Deviation (MAD)1396.2374
Skewness1.4690577
Sum14493443
Variance2798017.8
MonotonicityNot monotonic
2024-04-30T04:20:56.083389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202792.678699836 3
 
4.2%
204081.282117393 2
 
2.8%
202123.025510581 2
 
2.8%
202918.112297 2
 
2.8%
204855.056489622 2
 
2.8%
205425.094454375 2
 
2.8%
202076.619577636 1
 
1.4%
206317.625784018 1
 
1.4%
206151.125680328 1
 
1.4%
206313.255464092 1
 
1.4%
Other values (54) 54
76.1%
ValueCountFrequency (%)
202067.971954012 1
1.4%
202076.619577636 1
1.4%
202081.516316998 1
1.4%
202123.025510581 2
2.8%
202161.000094 1
1.4%
202233.604900045 1
1.4%
202238.673011556 1
1.4%
202243.651095431 1
1.4%
202357.423919902 1
1.4%
202360.062052635 1
1.4%
ValueCountFrequency (%)
211980.248325806 1
1.4%
206317.625784018 1
1.4%
206313.255464092 1
1.4%
206151.125680328 1
1.4%
206101.9138443 1
1.4%
206011.501406713 1
1.4%
206009.495097994 1
1.4%
205989.639587142 1
1.4%
205904.610819986 1
1.4%
205790.199450207 1
1.4%

좌표정보(Y)
Real number (ℝ)

Distinct64
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean452604.51
Minimum448111.06
Maximum454934.05
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size771.0 B
2024-04-30T04:20:56.214498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448111.06
5-th percentile451098.78
Q1452182.49
median452654.53
Q3453137.21
95-th percentile454477.96
Maximum454934.05
Range6822.9871
Interquartile range (IQR)954.72576

Descriptive statistics

Standard deviation1097.2221
Coefficient of variation (CV)0.0024242404
Kurtosis3.105299
Mean452604.51
Median Absolute Deviation (MAD)482.68494
Skewness-0.63761697
Sum32134920
Variance1203896.4
MonotonicityNot monotonic
2024-04-30T04:20:56.346627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
452915.127892459 3
 
4.2%
453187.395154017 2
 
2.8%
452472.988294341 2
 
2.8%
453137.211563 2
 
2.8%
454149.049376394 2
 
2.8%
451659.690025678 2
 
2.8%
452209.280450281 1
 
1.4%
452577.242492183 1
 
1.4%
452213.555840243 1
 
1.4%
453188.443671732 1
 
1.4%
Other values (54) 54
76.1%
ValueCountFrequency (%)
448111.060277943 1
1.4%
451038.454241239 1
1.4%
451067.555532527 1
1.4%
451094.412855942 1
1.4%
451103.146980087 1
1.4%
451118.479199016 1
1.4%
451150.325744303 1
1.4%
451217.807756207 1
1.4%
451248.195444631 1
1.4%
451394.889425203 1
1.4%
ValueCountFrequency (%)
454934.047367752 1
1.4%
454833.337679973 1
1.4%
454719.205565844 1
1.4%
454549.263800339 1
1.4%
454406.655078623 1
1.4%
454198.87131012 1
1.4%
454149.049376394 2
2.8%
454092.898622518 1
1.4%
454008.358148989 1
1.4%
453503.197126819 1
1.4%
Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size700.0 B
국내여행업
51 
<NA>
20 

Length

Max length5
Median length5
Mean length4.7183099
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내여행업 51
71.8%
<NA> 20
 
28.2%

Length

2024-04-30T04:20:56.461667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:20:56.560274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내여행업 51
71.8%
na 20
 
28.2%
Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size700.0 B
관광사업
37 
<NA>
34 

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 (%)
관광사업 37
52.1%
<NA> 34
47.9%

Length

2024-04-30T04:20:56.659522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:20:56.740292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광사업 37
52.1%
na 34
47.9%

지역구분명
Text

MISSING 

Distinct6
Distinct (%)50.0%
Missing59
Missing (%)83.1%
Memory size700.0 B
2024-04-30T04:20:56.850695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length5
Min length4

Characters and Unicode

Total characters60
Distinct characters11
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)16.7%

Sample

1st row근린상업지역
2nd row근린상업지역
3rd row상업지역
4th row상업지역
5th row상업지역
ValueCountFrequency (%)
상업지역 4
33.3%
근린상업지역 2
16.7%
준주거지역 2
16.7%
일반주거지역 2
16.7%
주거지역 1
 
8.3%
일반상업지역 1
 
8.3%
2024-04-30T04:20:57.116157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12
20.0%
12
20.0%
7
11.7%
7
11.7%
5
8.3%
5
8.3%
3
 
5.0%
3
 
5.0%
2
 
3.3%
2
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 60
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
12
20.0%
12
20.0%
7
11.7%
7
11.7%
5
8.3%
5
8.3%
3
 
5.0%
3
 
5.0%
2
 
3.3%
2
 
3.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 60
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
12
20.0%
12
20.0%
7
11.7%
7
11.7%
5
8.3%
5
8.3%
3
 
5.0%
3
 
5.0%
2
 
3.3%
2
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 60
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
12
20.0%
12
20.0%
7
11.7%
7
11.7%
5
8.3%
5
8.3%
3
 
5.0%
3
 
5.0%
2
 
3.3%
2
 
3.3%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)28.6%
Missing50
Missing (%)70.4%
Infinite0
Infinite (%)0.0%
Mean2.5238095
Minimum0
Maximum7
Zeros10
Zeros (%)14.1%
Negative0
Negative (%)0.0%
Memory size771.0 B
2024-04-30T04:20:57.204485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q35
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.6761735
Coefficient of variation (CV)1.0603706
Kurtosis-1.5513055
Mean2.5238095
Median Absolute Deviation (MAD)2
Skewness0.34280782
Sum53
Variance7.1619048
MonotonicityNot monotonic
2024-04-30T04:20:57.287515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 10
 
14.1%
4 4
 
5.6%
5 3
 
4.2%
7 2
 
2.8%
2 1
 
1.4%
6 1
 
1.4%
(Missing) 50
70.4%
ValueCountFrequency (%)
0 10
14.1%
2 1
 
1.4%
4 4
 
5.6%
5 3
 
4.2%
6 1
 
1.4%
7 2
 
2.8%
ValueCountFrequency (%)
7 2
 
2.8%
6 1
 
1.4%
5 3
 
4.2%
4 4
 
5.6%
2 1
 
1.4%
0 10
14.1%

주변환경명
Categorical

IMBALANCE 

Distinct5
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size700.0 B
<NA>
59 
기타
주택가주변
 
2
결혼예식장주변
 
2
유흥업소밀집지역
 
1

Length

Max length8
Median length4
Mean length3.971831
Min length2

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 59
83.1%
기타 7
 
9.9%
주택가주변 2
 
2.8%
결혼예식장주변 2
 
2.8%
유흥업소밀집지역 1
 
1.4%

Length

2024-04-30T04:20:57.399261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:20:57.519900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 59
83.1%
기타 7
 
9.9%
주택가주변 2
 
2.8%
결혼예식장주변 2
 
2.8%
유흥업소밀집지역 1
 
1.4%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing71
Missing (%)100.0%
Memory size771.0 B

보험기관명
Categorical

IMBALANCE 

Distinct8
Distinct (%)11.3%
Missing0
Missing (%)0.0%
Memory size700.0 B
<NA>
54 
서울보증보험
한국관광협회중앙회 여행공제회
 
4
서울보증보험주식회사
 
3
관광공제회
 
1
Other values (3)
 
3

Length

Max length21
Median length4
Mean length5.4366197
Min length4

Unique

Unique4 ?
Unique (%)5.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 54
76.1%
서울보증보험 6
 
8.5%
한국관광협회중앙회 여행공제회 4
 
5.6%
서울보증보험주식회사 3
 
4.2%
관광공제회 1
 
1.4%
서울보증보험주-구리지점 1
 
1.4%
한국관광협회 1
 
1.4%
한국관광협회중앙회(20,000,000) 1
 
1.4%

Length

2024-04-30T04:20:57.636666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:20:57.743402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 54
72.0%
서울보증보험 6
 
8.0%
한국관광협회중앙회 4
 
5.3%
여행공제회 4
 
5.3%
서울보증보험주식회사 3
 
4.0%
관광공제회 1
 
1.3%
서울보증보험주-구리지점 1
 
1.3%
한국관광협회 1
 
1.3%
한국관광협회중앙회(20,000,000 1
 
1.3%

건물용도명
Categorical

IMBALANCE 

Distinct5
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size700.0 B
<NA>
52 
근린생활시설
14 
사무실
 
3
다세대주택
 
1
다가구용 주택(공동주택적용)
 
1

Length

Max length15
Median length4
Mean length4.5211268
Min length3

Unique

Unique2 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 52
73.2%
근린생활시설 14
 
19.7%
사무실 3
 
4.2%
다세대주택 1
 
1.4%
다가구용 주택(공동주택적용) 1
 
1.4%

Length

2024-04-30T04:20:57.872380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:20:57.965219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 52
72.2%
근린생활시설 14
 
19.4%
사무실 3
 
4.2%
다세대주택 1
 
1.4%
다가구용 1
 
1.4%
주택(공동주택적용 1
 
1.4%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)37.5%
Missing47
Missing (%)66.2%
Infinite0
Infinite (%)0.0%
Mean2.6666667
Minimum0
Maximum16
Zeros10
Zeros (%)14.1%
Negative0
Negative (%)0.0%
Memory size771.0 B
2024-04-30T04:20:58.047206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.5
Q34
95-th percentile6.85
Maximum16
Range16
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.6195924
Coefficient of variation (CV)1.3573472
Kurtosis7.3124155
Mean2.6666667
Median Absolute Deviation (MAD)1.5
Skewness2.3226592
Sum64
Variance13.101449
MonotonicityNot monotonic
2024-04-30T04:20:58.152488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 10
 
14.1%
4 3
 
4.2%
3 3
 
4.2%
1 2
 
2.8%
5 2
 
2.8%
7 1
 
1.4%
2 1
 
1.4%
16 1
 
1.4%
6 1
 
1.4%
(Missing) 47
66.2%
ValueCountFrequency (%)
0 10
14.1%
1 2
 
2.8%
2 1
 
1.4%
3 3
 
4.2%
4 3
 
4.2%
5 2
 
2.8%
6 1
 
1.4%
7 1
 
1.4%
16 1
 
1.4%
ValueCountFrequency (%)
16 1
 
1.4%
7 1
 
1.4%
6 1
 
1.4%
5 2
 
2.8%
4 3
 
4.2%
3 3
 
4.2%
2 1
 
1.4%
1 2
 
2.8%
0 10
14.1%

지하층수
Categorical

Distinct4
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size700.0 B
<NA>
51 
0
11 
1
4
 
1

Length

Max length4
Median length4
Mean length3.1549296
Min length1

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 51
71.8%
0 11
 
15.5%
1 8
 
11.3%
4 1
 
1.4%

Length

2024-04-30T04:20:58.254134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:20:58.345331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
71.8%
0 11
 
15.5%
1 8
 
11.3%
4 1
 
1.4%

객실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size700.0 B
<NA>
69 
0
 
2

Length

Max length4
Median length4
Mean length3.915493
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> 69
97.2%
0 2
 
2.8%

Length

2024-04-30T04:20:58.456686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:20:58.555207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 69
97.2%
0 2
 
2.8%

건축연면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size700.0 B
<NA>
69 
0
 
2

Length

Max length4
Median length4
Mean length3.915493
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> 69
97.2%
0 2
 
2.8%

Length

2024-04-30T04:20:58.654937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:20:58.744248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 69
97.2%
0 2
 
2.8%

영문상호명
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing69
Missing (%)97.2%
Memory size700.0 B
2024-04-30T04:20:58.859506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13.5
Mean length13.5
Min length11

Characters and Unicode

Total characters27
Distinct characters20
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

Unique2 ?
Unique (%)100.0%

Sample

1st rowASA TOUR co.,ltd
2nd rowK2 TREKKING
ValueCountFrequency (%)
asa 1
20.0%
tour 1
20.0%
co.,ltd 1
20.0%
k2 1
20.0%
trekking 1
20.0%
2024-04-30T04:20:59.129796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3
 
11.1%
K 3
 
11.1%
A 2
 
7.4%
T 2
 
7.4%
R 2
 
7.4%
t 1
 
3.7%
N 1
 
3.7%
I 1
 
3.7%
E 1
 
3.7%
2 1
 
3.7%
Other values (10) 10
37.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 16
59.3%
Lowercase Letter 5
 
18.5%
Space Separator 3
 
11.1%
Other Punctuation 2
 
7.4%
Decimal Number 1
 
3.7%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
K 3
18.8%
A 2
12.5%
T 2
12.5%
R 2
12.5%
N 1
 
6.2%
I 1
 
6.2%
E 1
 
6.2%
S 1
 
6.2%
U 1
 
6.2%
O 1
 
6.2%
Lowercase Letter
ValueCountFrequency (%)
t 1
20.0%
d 1
20.0%
l 1
20.0%
o 1
20.0%
c 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
. 1
50.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 21
77.8%
Common 6
 
22.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
K 3
14.3%
A 2
 
9.5%
T 2
 
9.5%
R 2
 
9.5%
t 1
 
4.8%
N 1
 
4.8%
I 1
 
4.8%
E 1
 
4.8%
d 1
 
4.8%
l 1
 
4.8%
Other values (6) 6
28.6%
Common
ValueCountFrequency (%)
3
50.0%
2 1
 
16.7%
, 1
 
16.7%
. 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 27
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3
 
11.1%
K 3
 
11.1%
A 2
 
7.4%
T 2
 
7.4%
R 2
 
7.4%
t 1
 
3.7%
N 1
 
3.7%
I 1
 
3.7%
E 1
 
3.7%
2 1
 
3.7%
Other values (10) 10
37.0%

영문상호주소
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing69
Missing (%)97.2%
Memory size700.0 B
2024-04-30T04:20:59.261738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length17.5
Mean length17.5
Min length14

Characters and Unicode

Total characters35
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st rowInbound Travel Agency
2nd rowINBOUND TRAVEL
ValueCountFrequency (%)
inbound 2
40.0%
travel 2
40.0%
agency 1
20.0%
2024-04-30T04:20:59.485764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3
 
8.6%
n 3
 
8.6%
I 2
 
5.7%
N 2
 
5.7%
e 2
 
5.7%
T 2
 
5.7%
A 2
 
5.7%
d 1
 
2.9%
b 1
 
2.9%
E 1
 
2.9%
Other values (16) 16
45.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 16
45.7%
Uppercase Letter 16
45.7%
Space Separator 3
 
8.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 3
18.8%
e 2
12.5%
d 1
 
6.2%
b 1
 
6.2%
y 1
 
6.2%
r 1
 
6.2%
c 1
 
6.2%
g 1
 
6.2%
o 1
 
6.2%
l 1
 
6.2%
Other values (3) 3
18.8%
Uppercase Letter
ValueCountFrequency (%)
I 2
12.5%
N 2
12.5%
T 2
12.5%
A 2
12.5%
E 1
6.2%
V 1
6.2%
R 1
6.2%
D 1
6.2%
U 1
6.2%
O 1
6.2%
Other values (2) 2
12.5%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 32
91.4%
Common 3
 
8.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 3
 
9.4%
I 2
 
6.2%
N 2
 
6.2%
e 2
 
6.2%
T 2
 
6.2%
A 2
 
6.2%
d 1
 
3.1%
b 1
 
3.1%
E 1
 
3.1%
V 1
 
3.1%
Other values (15) 15
46.9%
Common
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 35
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3
 
8.6%
n 3
 
8.6%
I 2
 
5.7%
N 2
 
5.7%
e 2
 
5.7%
T 2
 
5.7%
A 2
 
5.7%
d 1
 
2.9%
b 1
 
2.9%
E 1
 
2.9%
Other values (16) 16
45.7%

선박총톤수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size700.0 B
<NA>
69 
0
 
2

Length

Max length4
Median length4
Mean length3.915493
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> 69
97.2%
0 2
 
2.8%

Length

2024-04-30T04:20:59.614283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:20:59.700886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 69
97.2%
0 2
 
2.8%

선박척수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size700.0 B
<NA>
69 
0
 
2

Length

Max length4
Median length4
Mean length3.915493
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> 69
97.2%
0 2
 
2.8%

Length

2024-04-30T04:20:59.794111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:20:59.894375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 69
97.2%
0 2
 
2.8%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing71
Missing (%)100.0%
Memory size771.0 B

무대면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size700.0 B
<NA>
69 
0
 
2

Length

Max length4
Median length4
Mean length3.915493
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> 69
97.2%
0 2
 
2.8%

Length

2024-04-30T04:20:59.986656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:21:00.081285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 69
97.2%
0 2
 
2.8%

좌석수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size700.0 B
<NA>
69 
0
 
2

Length

Max length4
Median length4
Mean length3.915493
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> 69
97.2%
0 2
 
2.8%

Length

2024-04-30T04:21:00.184801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:21:00.276841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 69
97.2%
0 2
 
2.8%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing71
Missing (%)100.0%
Memory size771.0 B

회의실별동시수용인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size700.0 B
<NA>
69 
0
 
2

Length

Max length4
Median length4
Mean length3.915493
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> 69
97.2%
0 2
 
2.8%

Length

2024-04-30T04:21:00.607229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:21:00.697894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 69
97.2%
0 2
 
2.8%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)45.5%
Missing49
Missing (%)69.0%
Infinite0
Infinite (%)0.0%
Mean34.560455
Minimum0
Maximum262.44
Zeros13
Zeros (%)18.3%
Negative0
Negative (%)0.0%
Memory size771.0 B
2024-04-30T04:21:00.766418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q337.995
95-th percentile141.8
Maximum262.44
Range262.44
Interquartile range (IQR)37.995

Descriptive statistics

Standard deviation64.217112
Coefficient of variation (CV)1.8581096
Kurtosis7.2677556
Mean34.560455
Median Absolute Deviation (MAD)0
Skewness2.5724815
Sum760.33
Variance4123.8375
MonotonicityNot monotonic
2024-04-30T04:21:00.864391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.0 13
 
18.3%
144.0 1
 
1.4%
262.44 1
 
1.4%
47.34 1
 
1.4%
100.0 1
 
1.4%
83.83 1
 
1.4%
18.56 1
 
1.4%
31.5 1
 
1.4%
33.0 1
 
1.4%
39.66 1
 
1.4%
(Missing) 49
69.0%
ValueCountFrequency (%)
0.0 13
18.3%
18.56 1
 
1.4%
31.5 1
 
1.4%
33.0 1
 
1.4%
39.66 1
 
1.4%
47.34 1
 
1.4%
83.83 1
 
1.4%
100.0 1
 
1.4%
144.0 1
 
1.4%
262.44 1
 
1.4%
ValueCountFrequency (%)
262.44 1
 
1.4%
144.0 1
 
1.4%
100.0 1
 
1.4%
83.83 1
 
1.4%
47.34 1
 
1.4%
39.66 1
 
1.4%
33.0 1
 
1.4%
31.5 1
 
1.4%
18.56 1
 
1.4%
0.0 13
18.3%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing71
Missing (%)100.0%
Memory size771.0 B

놀이시설수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size700.0 B
<NA>
69 
0
 
2

Length

Max length4
Median length4
Mean length3.915493
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> 69
97.2%
0 2
 
2.8%

Length

2024-04-30T04:21:00.992180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:21:01.079342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 69
97.2%
0 2
 
2.8%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing71
Missing (%)100.0%
Memory size771.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing71
Missing (%)100.0%
Memory size771.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing71
Missing (%)100.0%
Memory size771.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing71
Missing (%)100.0%
Memory size771.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing71
Missing (%)100.0%
Memory size771.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing71
Missing (%)100.0%
Memory size771.0 B

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)52.4%
Missing50
Missing (%)70.4%
Infinite0
Infinite (%)0.0%
Mean85444612
Minimum0
Maximum5 × 108
Zeros1
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size771.0 B
2024-04-30T04:21:01.152489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30000000
Q150000000
median50000000
Q365000000
95-th percentile2.5 × 108
Maximum5 × 108
Range5 × 108
Interquartile range (IQR)15000000

Descriptive statistics

Standard deviation1.0662575 × 108
Coefficient of variation (CV)1.2478932
Kurtosis12.354631
Mean85444612
Median Absolute Deviation (MAD)5000000
Skewness3.3851614
Sum1.7943368 × 109
Variance1.1369051 × 1016
MonotonicityNot monotonic
2024-04-30T04:21:01.248239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
50000000 8
 
11.3%
55000000 2
 
2.8%
100000000 2
 
2.8%
30000000 2
 
2.8%
0 1
 
1.4%
500000000 1
 
1.4%
65000000 1
 
1.4%
250000000 1
 
1.4%
47954849 1
 
1.4%
60682345 1
 
1.4%
(Missing) 50
70.4%
ValueCountFrequency (%)
0 1
 
1.4%
30000000 2
 
2.8%
47954849 1
 
1.4%
50000000 8
11.3%
55000000 2
 
2.8%
60682345 1
 
1.4%
65000000 1
 
1.4%
100000000 2
 
2.8%
100699652 1
 
1.4%
250000000 1
 
1.4%
ValueCountFrequency (%)
500000000 1
 
1.4%
250000000 1
 
1.4%
100699652 1
 
1.4%
100000000 2
 
2.8%
65000000 1
 
1.4%
60682345 1
 
1.4%
55000000 2
 
2.8%
50000000 8
11.3%
47954849 1
 
1.4%
30000000 2
 
2.8%

보험시작일자
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)100.0%
Missing50
Missing (%)70.4%
Infinite0
Infinite (%)0.0%
Mean20142063
Minimum20061212
Maximum20210217
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size771.0 B
2024-04-30T04:21:01.335795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20061212
5-th percentile20080127
Q120120722
median20150710
Q320170225
95-th percentile20201113
Maximum20210217
Range149005
Interquartile range (IQR)49503

Descriptive statistics

Standard deviation40938.011
Coefficient of variation (CV)0.0020324637
Kurtosis-0.54157667
Mean20142063
Median Absolute Deviation (MAD)20584
Skewness-0.38011782
Sum4.2298332 × 108
Variance1.6759207 × 109
MonotonicityNot monotonic
2024-04-30T04:21:01.430668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
20170719 1
 
1.4%
20170308 1
 
1.4%
20170225 1
 
1.4%
20150901 1
 
1.4%
20150824 1
 
1.4%
20170122 1
 
1.4%
20140801 1
 
1.4%
20161106 1
 
1.4%
20130126 1
 
1.4%
20120722 1
 
1.4%
Other values (11) 11
 
15.5%
(Missing) 50
70.4%
ValueCountFrequency (%)
20061212 1
1.4%
20080127 1
1.4%
20081020 1
1.4%
20090901 1
1.4%
20100929 1
1.4%
20120722 1
1.4%
20130120 1
1.4%
20130126 1
1.4%
20140801 1
1.4%
20150305 1
1.4%
ValueCountFrequency (%)
20210217 1
1.4%
20201113 1
1.4%
20190808 1
1.4%
20170719 1
1.4%
20170308 1
1.4%
20170225 1
1.4%
20170122 1
1.4%
20161106 1
1.4%
20150901 1
1.4%
20150824 1
1.4%

보험종료일자
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)100.0%
Missing50
Missing (%)70.4%
Infinite0
Infinite (%)0.0%
Mean20152062
Minimum20071212
Maximum20220216
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size771.0 B
2024-04-30T04:21:01.526879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20071212
5-th percentile20090126
Q120130721
median20160706
Q320180224
95-th percentile20211113
Maximum20220216
Range149004
Interquartile range (IQR)49503

Descriptive statistics

Standard deviation40937.829
Coefficient of variation (CV)0.0020314462
Kurtosis-0.54157055
Mean20152062
Median Absolute Deviation (MAD)20581
Skewness-0.38010033
Sum4.231933 × 108
Variance1.6759059 × 109
MonotonicityNot monotonic
2024-04-30T04:21:01.623234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
20180718 1
 
1.4%
20180307 1
 
1.4%
20180224 1
 
1.4%
20160901 1
 
1.4%
20160823 1
 
1.4%
20180121 1
 
1.4%
20150801 1
 
1.4%
20171105 1
 
1.4%
20140125 1
 
1.4%
20130721 1
 
1.4%
Other values (11) 11
 
15.5%
(Missing) 50
70.4%
ValueCountFrequency (%)
20071212 1
1.4%
20090126 1
1.4%
20091020 1
1.4%
20100901 1
1.4%
20110929 1
1.4%
20130721 1
1.4%
20140120 1
1.4%
20140125 1
1.4%
20150801 1
1.4%
20160305 1
1.4%
ValueCountFrequency (%)
20220216 1
1.4%
20211113 1
1.4%
20200808 1
1.4%
20180718 1
1.4%
20180307 1
1.4%
20180224 1
1.4%
20180121 1
1.4%
20171105 1
1.4%
20160901 1
1.4%
20160823 1
1.4%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing71
Missing (%)100.0%
Memory size771.0 B

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)45.5%
Missing49
Missing (%)69.0%
Infinite0
Infinite (%)0.0%
Mean34.590909
Minimum0
Maximum262
Zeros13
Zeros (%)18.3%
Negative0
Negative (%)0.0%
Memory size771.0 B
2024-04-30T04:21:01.727228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q338.25
95-th percentile141.8
Maximum262
Range262
Interquartile range (IQR)38.25

Descriptive statistics

Standard deviation64.14096
Coefficient of variation (CV)1.8542722
Kurtosis7.2354637
Mean34.590909
Median Absolute Deviation (MAD)0
Skewness2.5667953
Sum761
Variance4114.0628
MonotonicityNot monotonic
2024-04-30T04:21:01.817519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 13
 
18.3%
144 1
 
1.4%
262 1
 
1.4%
47 1
 
1.4%
100 1
 
1.4%
84 1
 
1.4%
19 1
 
1.4%
32 1
 
1.4%
33 1
 
1.4%
40 1
 
1.4%
(Missing) 49
69.0%
ValueCountFrequency (%)
0 13
18.3%
19 1
 
1.4%
32 1
 
1.4%
33 1
 
1.4%
40 1
 
1.4%
47 1
 
1.4%
84 1
 
1.4%
100 1
 
1.4%
144 1
 
1.4%
262 1
 
1.4%
ValueCountFrequency (%)
262 1
 
1.4%
144 1
 
1.4%
100 1
 
1.4%
84 1
 
1.4%
47 1
 
1.4%
40 1
 
1.4%
33 1
 
1.4%
32 1
 
1.4%
19 1
 
1.4%
0 13
18.3%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03050000CDFI226001198200000119821008<NA>3폐업3폐업20070326<NA><NA><NA>02-968-3301<NA>130851서울특별시 동대문구 전농동 597-25번지서울특별시 동대문구 왕산로 238 (전농동)<NA>(합)뉴명진관광여행사2007-10-18 11:40:22I2018-08-31 23:59:59.0<NA>204214.245228453350.538931국내여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13050000CDFI226001199000000119900117<NA>3폐업3폐업20140101<NA><NA><NA>2213-2752<NA>130846서울특별시 동대문구 장안동 464-8번지 대흥빌딩 3층서울특별시 동대문구 천호대로 425, 3층 (장안동, 대흥빌딩)130846(주)레스포관광여행사2013-12-31 09:29:54I2018-08-31 23:59:59.0<NA>205790.19945451038.454241국내여행업관광사업<NA><NA><NA><NA>한국관광협회중앙회 여행공제회<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2013012020140120<NA><NA>
23050000CDFI226001199000000219900727<NA>4취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>456-7737<NA>130800서울특별시 동대문구 답십리동 2-201번지서울특별시 동대문구 한천로 59 (답십리동)<NA>(주)오로라관광여행사2003-04-18 15:38:21I2018-08-31 23:59:59.0<NA>205425.094454451659.690026국내여행업관광사업<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
33050000CDFI226001199200000219920706<NA>3폐업3폐업20010828<NA><NA><NA><NA><NA>130800서울특별시 동대문구 답십리동 2-201번지서울특별시 동대문구 한천로 59 (답십리동)<NA>(주)희안관광2003-04-18 15:38:35I2018-08-31 23:59:59.0<NA>205425.094454451659.690026국내여행업관광사업<NA><NA><NA><NA><NA><NA><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
43050000CDFI226001199600000119960724<NA>3폐업3폐업20060106<NA><NA><NA>237-3300<NA>130812서울특별시 동대문구 신설동 103-3번지서울특별시 동대문구 천호대로 10 (신설동)<NA>(주) 아나항공여행사2007-10-18 11:45:36I2018-08-31 23:59:59.0<NA>202161.000094452797.474569국내여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53050000CDFI226001199700000119970226<NA>3폐업3폐업20000315<NA><NA><NA>741-4163<NA>130817서울특별시 동대문구 용두동 23-7번지서울특별시 동대문구 왕산로 140 (용두동)<NA>(주)징검다리여행사(국내)2003-04-18 15:38:35I2018-08-31 23:59:59.0<NA>203376.17869452862.182347국내여행업관광사업<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
63050000CDFI226001199700000219970805<NA>3폐업3폐업20010829<NA><NA><NA>903-9149<NA>130812서울특별시 동대문구 신설동 103-6번지서울특별시 동대문구 천호대로 14 (신설동)<NA>(주)차세대여행사2003-04-18 15:38:35I2018-08-31 23:59:59.0<NA>202123.025511452472.988294국내여행업관광사업<NA><NA><NA><NA><NA><NA><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
73050000CDFI226001199800000119980119<NA>4취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>966-1383<NA>130865서울특별시 동대문구 제기동 1016-0번지서울특별시 동대문구 왕산로 143 (제기동)<NA>(쭈)창조21세기여행사2003-04-18 15:38:35I2018-08-31 23:59:59.0<NA>203395.308401452922.37684국내여행업관광사업<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
83050000CDFI226001199800000219980122<NA>4취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>557-0078<NA>130845서울특별시 동대문구 장안동 433-8번지서울특별시 동대문구 장한로2길 7 (장안동)<NA>(주)세계를 나의품에 여행사2003-04-18 15:38:35I2018-08-31 23:59:59.0<NA>205746.038399451118.479199국내여행업관광사업<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
93050000CDFI226001199800000419980427<NA>3폐업3폐업19990331<NA><NA><NA>968-2546<NA>130864서울특별시 동대문구 제기동 930-10번지 930동 10호서울특별시 동대문구 고산자로 477, 930동 10호 (제기동)<NA>(주) 여이레항공2003-04-18 15:38:35I2018-08-31 23:59:59.0<NA>203314.237196453333.815458국내여행업관광사업<NA>0유흥업소밀집지역<NA><NA>근린생활시설00<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
613050000CDFI226001201900000120190624<NA>3폐업3폐업20220420<NA><NA><NA>02-737-5542<NA><NA>서울특별시 동대문구 답십리동 464-1 신답극동아파트서울특별시 동대문구 서울시립대로 5, 3동 1층 103호 (답십리동, 신답극동아파트)2592(주)마하관광여행사2022-04-20 13:12:30U2021-12-03 22:02:00.0<NA>203828.260448452267.741464<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
623050000CDFI22600120190000022019-12-11<NA>4취소/말소/만료/정지/중지35직권말소2023-05-01<NA><NA><NA>02-965-3331<NA><NA>서울특별시 동대문구 전농동 591-53 청량리역서울특별시 동대문구 왕산로 214, 청량리역, 1층 (전농동)2555추억여행사2023-05-02 14:13:18U2022-12-05 00:04:00.0<NA>204081.282117453187.395154<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
633050000CDFI22600120200000012020-08-28<NA>3폐업3폐업2023-08-03<NA><NA><NA><NA><NA><NA>서울특별시 동대문구 제기동 122-418서울특별시 동대문구 고산자로56길 34, 103호 (제기동)2466주식회사 특별한 복2023-08-03 17:08:55U2022-12-08 00:05:00.0<NA>203329.607072454092.898623<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
643050000CDFI22600120210000012021-02-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 장안동 418-11 태영빌딩서울특별시 동대문구 한천로2길 89, 태영빌딩 2층 (장안동)2634트레킹2023-02-27 09:20:07U2022-12-03 00:01:00.0<NA>205541.833345451150.325744<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
653050000CDFI22600120210000022021-06-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 청량리동 207-42 한국과학기술원서울특별시 동대문구 회기로 85, 한국과학기술원 7414호 (청량리동)2455주식회사 로컬앤라이프2023-07-12 17:23:54U2022-12-06 23:04:00.0<NA>204122.136152454719.205566<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
663050000CDFI226001202100000320191031<NA>3폐업3폐업20221118<NA><NA><NA><NA><NA><NA>서울특별시 동대문구 용두동 100-5 동대문 베네스트서울특별시 동대문구 왕산로 92, 동대문 베네스트 204호 (용두동)2585루하2022-11-23 10:19:58U2021-10-31 22:06:00.0<NA>202907.824317452848.31794<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
673050000CDFI226001202100000420210813<NA>3폐업3폐업20220926<NA><NA><NA>02-907-9702<NA><NA>서울특별시 동대문구 장안동 362-1 JB타워서울특별시 동대문구 장한로 68, JB타워 2층 (장안동)2640주식회사 유케이미디어2022-09-26 17:38:59U2021-12-08 22:08:00.0<NA>205989.639587451618.945407<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
683050000CDFI22600120210000052021-08-19<NA>3폐업3폐업2023-02-28<NA><NA><NA><NA><NA><NA>서울특별시 동대문구 용두동 138-41 두산베어스타워서울특별시 동대문구 왕산로 81, 705호 (용두동, 두산베어스타워)2577(주)아이앤디트래블2023-02-28 17:05:56U2022-12-03 00:02:00.0<NA>202792.6787452915.127892<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
693050000CDFI22600120210000062021-10-27<NA>1영업/정상13영업중<NA><NA><NA><NA>02-966-7386<NA><NA>서울특별시 동대문구 전농동 591-53 청량리역,롯데백화점서울특별시 동대문구 왕산로 214, 청량리역,롯데백화점 1층 (전농동)2555추억여행사2023-12-19 16:03:05U2022-11-01 22:01:00.0<NA>204081.282117453187.395154<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
703050000CDFI22600120220000012013-11-07<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3453-0199<NA><NA>서울특별시 동대문구 장안동 431-4서울특별시 동대문구 장한로 21, 203호 (장안동)2636주식회사 어깨동무야2023-02-27 09:22:00U2022-12-03 00:01:00.0<NA>205723.713577451248.195445<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>