Overview

Dataset statistics

Number of variables60
Number of observations213
Missing cells5073
Missing cells (%)39.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory107.7 KiB
Average record size in memory517.6 B

Variable types

Categorical23
Text8
DateTime6
Numeric10
Unsupported13

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
Author용산구
URLhttps://data.seoul.go.kr/dataList/OA-17604/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
지역구분명 is highly imbalanced (80.7%)Imbalance
주변환경명 is highly imbalanced (88.8%)Imbalance
건물용도명 is highly imbalanced (72.4%)Imbalance
지하층수 is highly imbalanced (79.4%)Imbalance
객실수 is highly imbalanced (81.5%)Imbalance
건축연면적 is highly imbalanced (81.5%)Imbalance
영문상호주소 is highly imbalanced (71.2%)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
기획여행보험시작일자 is highly imbalanced (93.5%)Imbalance
기획여행보험종료일자 is highly imbalanced (93.5%)Imbalance
인허가취소일자 has 204 (95.8%) missing valuesMissing
폐업일자 has 142 (66.7%) missing valuesMissing
휴업시작일자 has 207 (97.2%) missing valuesMissing
휴업종료일자 has 207 (97.2%) missing valuesMissing
재개업일자 has 213 (100.0%) missing valuesMissing
전화번호 has 74 (34.7%) missing valuesMissing
소재지면적 has 213 (100.0%) missing valuesMissing
소재지우편번호 has 171 (80.3%) missing valuesMissing
도로명우편번호 has 16 (7.5%) missing valuesMissing
업태구분명 has 213 (100.0%) missing valuesMissing
문화사업자구분명 has 213 (100.0%) missing valuesMissing
총층수 has 197 (92.5%) missing valuesMissing
제작취급품목내용 has 213 (100.0%) missing valuesMissing
지상층수 has 194 (91.1%) missing valuesMissing
영문상호명 has 183 (85.9%) missing valuesMissing
선박제원 has 213 (100.0%) missing valuesMissing
기념품종류 has 213 (100.0%) missing valuesMissing
시설면적 has 183 (85.9%) missing valuesMissing
놀이기구수내역 has 213 (100.0%) missing valuesMissing
방송시설유무 has 213 (100.0%) missing valuesMissing
발전시설유무 has 213 (100.0%) missing valuesMissing
의무실유무 has 213 (100.0%) missing valuesMissing
안내소유무 has 213 (100.0%) missing valuesMissing
자본금 has 117 (54.9%) missing valuesMissing
보험시작일자 has 110 (51.6%) missing valuesMissing
보험종료일자 has 110 (51.6%) missing valuesMissing
부대시설내역 has 213 (100.0%) missing valuesMissing
시설규모 has 183 (85.9%) missing valuesMissing
관리번호 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 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
문화사업자구분명 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 6 (2.8%) zerosZeros
지상층수 has 5 (2.3%) zerosZeros

Reproduction

Analysis started2024-05-11 09:25:57.775436
Analysis finished2024-05-11 09:26:00.855715
Duration3.08 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
3020000
213 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3020000
2nd row3020000
3rd row3020000
4th row3020000
5th row3020000

Common Values

ValueCountFrequency (%)
3020000 213
100.0%

Length

2024-05-11T09:26:01.062231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:26:01.573988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3020000 213
100.0%

관리번호
Text

UNIQUE 

Distinct213
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-05-11T09:26:02.400997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters4260
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

Unique213 ?
Unique (%)100.0%

Sample

1st rowCDFI2260041989000001
2nd rowCDFI2260041991000001
3rd rowCDFI2260041991000002
4th rowCDFI2260041999000001
5th rowCDFI2260041999000002
ValueCountFrequency (%)
cdfi2260041989000001 1
 
0.5%
cdfi2260042018000012 1
 
0.5%
cdfi2260042020000001 1
 
0.5%
cdfi2260042020000002 1
 
0.5%
cdfi2260042020000003 1
 
0.5%
cdfi2260042020000004 1
 
0.5%
cdfi2260042020000005 1
 
0.5%
cdfi2260042020000006 1
 
0.5%
cdfi2260042020000007 1
 
0.5%
cdfi2260042020000008 1
 
0.5%
Other values (203) 203
95.3%
2024-05-11T09:26:04.018276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1637
38.4%
2 811
19.0%
6 253
 
5.9%
1 252
 
5.9%
4 247
 
5.8%
C 213
 
5.0%
D 213
 
5.0%
F 213
 
5.0%
I 213
 
5.0%
3 60
 
1.4%
Other values (4) 148
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3408
80.0%
Uppercase Letter 852
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1637
48.0%
2 811
23.8%
6 253
 
7.4%
1 252
 
7.4%
4 247
 
7.2%
3 60
 
1.8%
7 42
 
1.2%
8 40
 
1.2%
9 39
 
1.1%
5 27
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
C 213
25.0%
D 213
25.0%
F 213
25.0%
I 213
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3408
80.0%
Latin 852
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1637
48.0%
2 811
23.8%
6 253
 
7.4%
1 252
 
7.4%
4 247
 
7.2%
3 60
 
1.8%
7 42
 
1.2%
8 40
 
1.2%
9 39
 
1.1%
5 27
 
0.8%
Latin
ValueCountFrequency (%)
C 213
25.0%
D 213
25.0%
F 213
25.0%
I 213
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4260
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1637
38.4%
2 811
19.0%
6 253
 
5.9%
1 252
 
5.9%
4 247
 
5.8%
C 213
 
5.0%
D 213
 
5.0%
F 213
 
5.0%
I 213
 
5.0%
3 60
 
1.4%
Other values (4) 148
 
3.5%
Distinct205
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum1983-07-22 00:00:00
Maximum2024-03-25 00:00:00
2024-05-11T09:26:04.710052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:26:05.324876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)88.9%
Missing204
Missing (%)95.8%
Infinite0
Infinite (%)0.0%
Mean20157362
Minimum20130903
Maximum20180103
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-05-11T09:26:05.957816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20130903
5-th percentile20134664
Q120141010
median20160831
Q320170828
95-th percentile20176547
Maximum20180103
Range49200
Interquartile range (IQR)29818

Descriptive statistics

Standard deviation16511.456
Coefficient of variation (CV)0.00081912784
Kurtosis-1.0262818
Mean20157362
Median Absolute Deviation (MAD)10383
Skewness-0.38872427
Sum1.8141626 × 108
Variance2.7262818 × 108
MonotonicityNot monotonic
2024-05-11T09:26:06.321045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
20160831 2
 
0.9%
20170828 1
 
0.5%
20140306 1
 
0.5%
20160229 1
 
0.5%
20130903 1
 
0.5%
20141010 1
 
0.5%
20171214 1
 
0.5%
20180103 1
 
0.5%
(Missing) 204
95.8%
ValueCountFrequency (%)
20130903 1
0.5%
20140306 1
0.5%
20141010 1
0.5%
20160229 1
0.5%
20160831 2
0.9%
20170828 1
0.5%
20171214 1
0.5%
20180103 1
0.5%
ValueCountFrequency (%)
20180103 1
0.5%
20171214 1
0.5%
20170828 1
0.5%
20160831 2
0.9%
20160229 1
0.5%
20141010 1
0.5%
20140306 1
0.5%
20130903 1
0.5%
Distinct5
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
1
127 
3
46 
5
25 
4
 
9
2
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 127
59.6%
3 46
 
21.6%
5 25
 
11.7%
4 9
 
4.2%
2 6
 
2.8%

Length

2024-05-11T09:26:07.005997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:26:07.338084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 127
59.6%
3 46
 
21.6%
5 25
 
11.7%
4 9
 
4.2%
2 6
 
2.8%

영업상태명
Categorical

Distinct5
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
영업/정상
127 
폐업
46 
제외/삭제/전출
25 
취소/말소/만료/정지/중지
 
9
휴업
 
6

Length

Max length14
Median length5
Mean length5
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 127
59.6%
폐업 46
 
21.6%
제외/삭제/전출 25
 
11.7%
취소/말소/만료/정지/중지 9
 
4.2%
휴업 6
 
2.8%

Length

2024-05-11T09:26:07.859658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:26:08.427723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 127
59.6%
폐업 46
 
21.6%
제외/삭제/전출 25
 
11.7%
취소/말소/만료/정지/중지 9
 
4.2%
휴업 6
 
2.8%
Distinct5
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
13
127 
3
46 
15
25 
31
 
9
2
 
6

Length

Max length2
Median length2
Mean length1.7558685
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row13
2nd row13
3rd row3
4th row3
5th row31

Common Values

ValueCountFrequency (%)
13 127
59.6%
3 46
 
21.6%
15 25
 
11.7%
31 9
 
4.2%
2 6
 
2.8%

Length

2024-05-11T09:26:08.961222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:26:09.543416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 127
59.6%
3 46
 
21.6%
15 25
 
11.7%
31 9
 
4.2%
2 6
 
2.8%
Distinct5
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
영업중
127 
폐업
46 
전출
25 
등록취소
 
9
휴업
 
6

Length

Max length4
Median length3
Mean length2.6807512
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 127
59.6%
폐업 46
 
21.6%
전출 25
 
11.7%
등록취소 9
 
4.2%
휴업 6
 
2.8%

Length

2024-05-11T09:26:10.013716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:26:10.796958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 127
59.6%
폐업 46
 
21.6%
전출 25
 
11.7%
등록취소 9
 
4.2%
휴업 6
 
2.8%

폐업일자
Date

MISSING 

Distinct70
Distinct (%)98.6%
Missing142
Missing (%)66.7%
Memory size1.8 KiB
Minimum2011-04-01 00:00:00
Maximum2024-05-09 00:00:00
2024-05-11T09:26:12.087206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:26:12.717609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct5
Distinct (%)83.3%
Missing207
Missing (%)97.2%
Memory size1.8 KiB
Minimum2015-03-23 00:00:00
Maximum2023-11-02 00:00:00
2024-05-11T09:26:13.430263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:26:13.882977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

휴업종료일자
Date

MISSING 

Distinct5
Distinct (%)83.3%
Missing207
Missing (%)97.2%
Memory size1.8 KiB
Minimum2016-03-26 00:00:00
Maximum2026-10-31 00:00:00
2024-05-11T09:26:14.304993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:26:14.828609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing213
Missing (%)100.0%
Memory size2.0 KiB

전화번호
Text

MISSING 

Distinct136
Distinct (%)97.8%
Missing74
Missing (%)34.7%
Memory size1.8 KiB
2024-05-11T09:26:15.493969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length13
Mean length11.05036
Min length8

Characters and Unicode

Total characters1536
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique133 ?
Unique (%)95.7%

Sample

1st row02)793-9922
2nd row02)790-3341
3rd row02)739-2020
4th row02-790-0021
5th row02)777-1313
ValueCountFrequency (%)
02 13
 
8.2%
02-737-1107 2
 
1.3%
02-790-0021 2
 
1.3%
63907277 2
 
1.3%
792 2
 
1.3%
02-333-2020 1
 
0.6%
02-795-3096 1
 
0.6%
02-794-7307 1
 
0.6%
02-2244-2867 1
 
0.6%
02-794-6787 1
 
0.6%
Other values (133) 133
83.6%
2024-05-11T09:26:16.509913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 266
17.3%
- 202
13.2%
2 198
12.9%
7 194
12.6%
1 114
7.4%
3 110
7.2%
8 110
7.2%
5 83
 
5.4%
9 82
 
5.3%
6 81
 
5.3%
Other values (4) 96
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1291
84.0%
Dash Punctuation 202
 
13.2%
Space Separator 33
 
2.1%
Close Punctuation 9
 
0.6%
Other Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 266
20.6%
2 198
15.3%
7 194
15.0%
1 114
8.8%
3 110
8.5%
8 110
8.5%
5 83
 
6.4%
9 82
 
6.4%
6 81
 
6.3%
4 53
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 202
100.0%
Space Separator
ValueCountFrequency (%)
33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1536
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 266
17.3%
- 202
13.2%
2 198
12.9%
7 194
12.6%
1 114
7.4%
3 110
7.2%
8 110
7.2%
5 83
 
5.4%
9 82
 
5.3%
6 81
 
5.3%
Other values (4) 96
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1536
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 266
17.3%
- 202
13.2%
2 198
12.9%
7 194
12.6%
1 114
7.4%
3 110
7.2%
8 110
7.2%
5 83
 
5.4%
9 82
 
5.3%
6 81
 
5.3%
Other values (4) 96
 
6.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing213
Missing (%)100.0%
Memory size2.0 KiB

소재지우편번호
Text

MISSING 

Distinct31
Distinct (%)73.8%
Missing171
Missing (%)80.3%
Memory size1.8 KiB
2024-05-11T09:26:16.942533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1904762
Min length6

Characters and Unicode

Total characters260
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

Unique23 ?
Unique (%)54.8%

Sample

1st row140-889
2nd row140-026
3rd row140025
4th row140160
5th row140901
ValueCountFrequency (%)
140858 3
 
7.1%
140210 3
 
7.1%
140897 3
 
7.1%
140893 2
 
4.8%
140160 2
 
4.8%
140845 2
 
4.8%
140821 2
 
4.8%
140887 2
 
4.8%
140752 1
 
2.4%
140842 1
 
2.4%
Other values (21) 21
50.0%
2024-05-11T09:26:17.754461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 58
22.3%
0 55
21.2%
4 46
17.7%
8 37
14.2%
7 14
 
5.4%
2 12
 
4.6%
5 11
 
4.2%
- 8
 
3.1%
9 7
 
2.7%
6 7
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 252
96.9%
Dash Punctuation 8
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 58
23.0%
0 55
21.8%
4 46
18.3%
8 37
14.7%
7 14
 
5.6%
2 12
 
4.8%
5 11
 
4.4%
9 7
 
2.8%
6 7
 
2.8%
3 5
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 260
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 58
22.3%
0 55
21.2%
4 46
17.7%
8 37
14.2%
7 14
 
5.4%
2 12
 
4.6%
5 11
 
4.2%
- 8
 
3.1%
9 7
 
2.7%
6 7
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 260
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 58
22.3%
0 55
21.2%
4 46
17.7%
8 37
14.2%
7 14
 
5.4%
2 12
 
4.6%
5 11
 
4.2%
- 8
 
3.1%
9 7
 
2.7%
6 7
 
2.7%
Distinct192
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-05-11T09:26:18.411583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length33
Mean length26.859155
Min length17

Characters and Unicode

Total characters5721
Distinct characters186
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

Unique177 ?
Unique (%)83.1%

Sample

1st row서울특별시 용산구 한남동 110-1 전국관광빌딩 401호
2nd row서울특별시 용산구 용산동6가 69-167 신동아쇼핑센터 2층
3rd row서울특별시 용산구 용산동5가 24번지 파크타워 103동 302호
4th row서울특별시 용산구 남영동 17-1
5th row서울특별시 용산구 후암동 244-79번지
ValueCountFrequency (%)
서울특별시 213
19.3%
용산구 213
19.3%
한강로2가 34
 
3.1%
한남동 31
 
2.8%
한강로3가 22
 
2.0%
이태원동 21
 
1.9%
갈월동 17
 
1.5%
서계동 17
 
1.5%
2층 13
 
1.2%
동자동 11
 
1.0%
Other values (343) 512
46.4%
2024-05-11T09:26:19.431974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
961
 
16.8%
241
 
4.2%
1 239
 
4.2%
237
 
4.1%
234
 
4.1%
219
 
3.8%
218
 
3.8%
217
 
3.8%
216
 
3.8%
2 215
 
3.8%
Other values (176) 2724
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3362
58.8%
Decimal Number 1177
 
20.6%
Space Separator 961
 
16.8%
Dash Punctuation 187
 
3.3%
Uppercase Letter 24
 
0.4%
Other Punctuation 7
 
0.1%
Lowercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
241
 
7.2%
237
 
7.0%
234
 
7.0%
219
 
6.5%
218
 
6.5%
217
 
6.5%
216
 
6.4%
213
 
6.3%
160
 
4.8%
110
 
3.3%
Other values (150) 1297
38.6%
Decimal Number
ValueCountFrequency (%)
1 239
20.3%
2 215
18.3%
3 155
13.2%
4 133
11.3%
0 116
9.9%
6 75
 
6.4%
7 75
 
6.4%
5 64
 
5.4%
9 54
 
4.6%
8 51
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
C 5
20.8%
K 5
20.8%
T 4
16.7%
I 3
12.5%
A 2
 
8.3%
O 1
 
4.2%
R 1
 
4.2%
D 1
 
4.2%
X 1
 
4.2%
L 1
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 6
85.7%
/ 1
 
14.3%
Lowercase Letter
ValueCountFrequency (%)
c 2
66.7%
k 1
33.3%
Space Separator
ValueCountFrequency (%)
961
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 187
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3362
58.8%
Common 2332
40.8%
Latin 27
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
241
 
7.2%
237
 
7.0%
234
 
7.0%
219
 
6.5%
218
 
6.5%
217
 
6.5%
216
 
6.4%
213
 
6.3%
160
 
4.8%
110
 
3.3%
Other values (150) 1297
38.6%
Common
ValueCountFrequency (%)
961
41.2%
1 239
 
10.2%
2 215
 
9.2%
- 187
 
8.0%
3 155
 
6.6%
4 133
 
5.7%
0 116
 
5.0%
6 75
 
3.2%
7 75
 
3.2%
5 64
 
2.7%
Other values (4) 112
 
4.8%
Latin
ValueCountFrequency (%)
C 5
18.5%
K 5
18.5%
T 4
14.8%
I 3
11.1%
c 2
 
7.4%
A 2
 
7.4%
k 1
 
3.7%
O 1
 
3.7%
R 1
 
3.7%
D 1
 
3.7%
Other values (2) 2
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3362
58.8%
ASCII 2359
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
961
40.7%
1 239
 
10.1%
2 215
 
9.1%
- 187
 
7.9%
3 155
 
6.6%
4 133
 
5.6%
0 116
 
4.9%
6 75
 
3.2%
7 75
 
3.2%
5 64
 
2.7%
Other values (16) 139
 
5.9%
Hangul
ValueCountFrequency (%)
241
 
7.2%
237
 
7.0%
234
 
7.0%
219
 
6.5%
218
 
6.5%
217
 
6.5%
216
 
6.4%
213
 
6.3%
160
 
4.8%
110
 
3.3%
Other values (150) 1297
38.6%
Distinct203
Distinct (%)96.2%
Missing2
Missing (%)0.9%
Memory size1.8 KiB
2024-05-11T09:26:20.080336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length44
Mean length35.559242
Min length22

Characters and Unicode

Total characters7503
Distinct characters214
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique195 ?
Unique (%)92.4%

Sample

1st row서울특별시 용산구 독서당로 23, 401호 (한남동, 전국관광빌딩)
2nd row서울특별시 용산구 이촌로 352 (용산동6가,신동아쇼핑센터 2층)
3rd row서울특별시 용산구 서빙고로 67, 103동 302호 (용산동5가,파크타워)
4th row서울특별시 용산구 한강대로 296 (남영동)
5th row서울특별시 용산구 후암로28길 38 (후암동)
ValueCountFrequency (%)
서울특별시 211
 
14.8%
용산구 211
 
14.8%
한강대로 47
 
3.3%
한강로2가 34
 
2.4%
한남동 28
 
2.0%
2층 24
 
1.7%
한강로3가 22
 
1.5%
1층 18
 
1.3%
이태원동 17
 
1.2%
서계동 17
 
1.2%
Other values (404) 801
56.0%
2024-05-11T09:26:21.344720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1222
 
16.3%
291
 
3.9%
1 266
 
3.5%
252
 
3.4%
, 251
 
3.3%
242
 
3.2%
237
 
3.2%
2 227
 
3.0%
217
 
2.9%
216
 
2.9%
Other values (204) 4082
54.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4270
56.9%
Decimal Number 1272
 
17.0%
Space Separator 1222
 
16.3%
Other Punctuation 252
 
3.4%
Close Punctuation 212
 
2.8%
Open Punctuation 212
 
2.8%
Dash Punctuation 32
 
0.4%
Uppercase Letter 27
 
0.4%
Lowercase Letter 3
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
291
 
6.8%
252
 
5.9%
242
 
5.7%
237
 
5.6%
217
 
5.1%
216
 
5.1%
216
 
5.1%
214
 
5.0%
211
 
4.9%
183
 
4.3%
Other values (176) 1991
46.6%
Decimal Number
ValueCountFrequency (%)
1 266
20.9%
2 227
17.8%
0 170
13.4%
3 153
12.0%
4 109
8.6%
5 86
 
6.8%
7 72
 
5.7%
6 71
 
5.6%
9 65
 
5.1%
8 53
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
B 8
29.6%
C 6
22.2%
A 3
 
11.1%
T 3
 
11.1%
K 2
 
7.4%
I 2
 
7.4%
D 1
 
3.7%
Y 1
 
3.7%
N 1
 
3.7%
Other Punctuation
ValueCountFrequency (%)
, 251
99.6%
/ 1
 
0.4%
Lowercase Letter
ValueCountFrequency (%)
c 2
66.7%
k 1
33.3%
Space Separator
ValueCountFrequency (%)
1222
100.0%
Close Punctuation
ValueCountFrequency (%)
) 212
100.0%
Open Punctuation
ValueCountFrequency (%)
( 212
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4270
56.9%
Common 3203
42.7%
Latin 30
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
291
 
6.8%
252
 
5.9%
242
 
5.7%
237
 
5.6%
217
 
5.1%
216
 
5.1%
216
 
5.1%
214
 
5.0%
211
 
4.9%
183
 
4.3%
Other values (176) 1991
46.6%
Common
ValueCountFrequency (%)
1222
38.2%
1 266
 
8.3%
, 251
 
7.8%
2 227
 
7.1%
) 212
 
6.6%
( 212
 
6.6%
0 170
 
5.3%
3 153
 
4.8%
4 109
 
3.4%
5 86
 
2.7%
Other values (7) 295
 
9.2%
Latin
ValueCountFrequency (%)
B 8
26.7%
C 6
20.0%
A 3
 
10.0%
T 3
 
10.0%
c 2
 
6.7%
K 2
 
6.7%
I 2
 
6.7%
k 1
 
3.3%
D 1
 
3.3%
Y 1
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4270
56.9%
ASCII 3233
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1222
37.8%
1 266
 
8.2%
, 251
 
7.8%
2 227
 
7.0%
) 212
 
6.6%
( 212
 
6.6%
0 170
 
5.3%
3 153
 
4.7%
4 109
 
3.4%
5 86
 
2.7%
Other values (18) 325
 
10.1%
Hangul
ValueCountFrequency (%)
291
 
6.8%
252
 
5.9%
242
 
5.7%
237
 
5.6%
217
 
5.1%
216
 
5.1%
216
 
5.1%
214
 
5.0%
211
 
4.9%
183
 
4.3%
Other values (176) 1991
46.6%

도로명우편번호
Text

MISSING 

Distinct74
Distinct (%)37.6%
Missing16
Missing (%)7.5%
Memory size1.8 KiB
2024-05-11T09:26:21.944413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0659898
Min length5

Characters and Unicode

Total characters998
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

Unique44 ?
Unique (%)22.3%

Sample

1st row04410
2nd row04352
3rd row04373
4th row140-871
5th row04409
ValueCountFrequency (%)
04376 19
 
9.6%
04300 11
 
5.6%
04334 8
 
4.1%
04382 7
 
3.6%
04320 7
 
3.6%
04405 7
 
3.6%
04379 6
 
3.0%
04349 6
 
3.0%
04322 6
 
3.0%
04410 6
 
3.0%
Other values (64) 114
57.9%
2024-05-11T09:26:23.105754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 266
26.7%
4 250
25.1%
3 191
19.1%
7 66
 
6.6%
2 47
 
4.7%
1 44
 
4.4%
6 40
 
4.0%
9 33
 
3.3%
8 31
 
3.1%
5 28
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 996
99.8%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 266
26.7%
4 250
25.1%
3 191
19.2%
7 66
 
6.6%
2 47
 
4.7%
1 44
 
4.4%
6 40
 
4.0%
9 33
 
3.3%
8 31
 
3.1%
5 28
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 998
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 266
26.7%
4 250
25.1%
3 191
19.1%
7 66
 
6.6%
2 47
 
4.7%
1 44
 
4.4%
6 40
 
4.0%
9 33
 
3.3%
8 31
 
3.1%
5 28
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 998
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 266
26.7%
4 250
25.1%
3 191
19.1%
7 66
 
6.6%
2 47
 
4.7%
1 44
 
4.4%
6 40
 
4.0%
9 33
 
3.3%
8 31
 
3.1%
5 28
 
2.8%

사업장명
Text

UNIQUE 

Distinct213
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-05-11T09:26:23.850109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length24
Mean length9.3474178
Min length2

Characters and Unicode

Total characters1991
Distinct characters293
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

Unique213 ?
Unique (%)100.0%

Sample

1st row(주)전국관광
2nd row(주)내외여행사
3rd row피아이씨코리아(주)
4th row참빛산업(주)
5th row(주)티파니여행사
ValueCountFrequency (%)
주식회사 55
 
17.9%
korea 3
 
1.0%
3
 
1.0%
하우스 3
 
1.0%
seoul 2
 
0.7%
한벗투어 2
 
0.7%
여행사 2
 
0.7%
트래블클럽 1
 
0.3%
에이비씨 1
 
0.3%
미미랩 1
 
0.3%
Other values (234) 234
76.2%
2024-05-11T09:26:25.219229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
169
 
8.5%
) 122
 
6.1%
( 121
 
6.1%
96
 
4.8%
87
 
4.4%
58
 
2.9%
56
 
2.8%
56
 
2.8%
54
 
2.7%
49
 
2.5%
Other values (283) 1123
56.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1513
76.0%
Close Punctuation 122
 
6.1%
Open Punctuation 121
 
6.1%
Space Separator 96
 
4.8%
Lowercase Letter 69
 
3.5%
Uppercase Letter 63
 
3.2%
Other Punctuation 4
 
0.2%
Decimal Number 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
169
 
11.2%
87
 
5.8%
58
 
3.8%
56
 
3.7%
56
 
3.7%
54
 
3.6%
49
 
3.2%
43
 
2.8%
41
 
2.7%
31
 
2.0%
Other values (239) 869
57.4%
Uppercase Letter
ValueCountFrequency (%)
A 9
14.3%
K 9
14.3%
E 5
 
7.9%
N 4
 
6.3%
M 4
 
6.3%
O 4
 
6.3%
S 4
 
6.3%
R 4
 
6.3%
T 3
 
4.8%
I 3
 
4.8%
Other values (9) 14
22.2%
Lowercase Letter
ValueCountFrequency (%)
o 11
15.9%
e 10
14.5%
a 8
11.6%
r 6
8.7%
l 6
8.7%
n 5
7.2%
c 4
 
5.8%
u 3
 
4.3%
b 3
 
4.3%
i 3
 
4.3%
Other values (7) 10
14.5%
Decimal Number
ValueCountFrequency (%)
2 1
33.3%
8 1
33.3%
5 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 3
75.0%
& 1
 
25.0%
Close Punctuation
ValueCountFrequency (%)
) 122
100.0%
Open Punctuation
ValueCountFrequency (%)
( 121
100.0%
Space Separator
ValueCountFrequency (%)
96
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1513
76.0%
Common 346
 
17.4%
Latin 132
 
6.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
169
 
11.2%
87
 
5.8%
58
 
3.8%
56
 
3.7%
56
 
3.7%
54
 
3.6%
49
 
3.2%
43
 
2.8%
41
 
2.7%
31
 
2.0%
Other values (239) 869
57.4%
Latin
ValueCountFrequency (%)
o 11
 
8.3%
e 10
 
7.6%
A 9
 
6.8%
K 9
 
6.8%
a 8
 
6.1%
r 6
 
4.5%
l 6
 
4.5%
n 5
 
3.8%
E 5
 
3.8%
N 4
 
3.0%
Other values (26) 59
44.7%
Common
ValueCountFrequency (%)
) 122
35.3%
( 121
35.0%
96
27.7%
. 3
 
0.9%
2 1
 
0.3%
& 1
 
0.3%
8 1
 
0.3%
5 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1513
76.0%
ASCII 478
 
24.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
169
 
11.2%
87
 
5.8%
58
 
3.8%
56
 
3.7%
56
 
3.7%
54
 
3.6%
49
 
3.2%
43
 
2.8%
41
 
2.7%
31
 
2.0%
Other values (239) 869
57.4%
ASCII
ValueCountFrequency (%)
) 122
25.5%
( 121
25.3%
96
20.1%
o 11
 
2.3%
e 10
 
2.1%
A 9
 
1.9%
K 9
 
1.9%
a 8
 
1.7%
r 6
 
1.3%
l 6
 
1.3%
Other values (34) 80
16.7%

최종수정일자
Date

UNIQUE 

Distinct213
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum2011-04-04 09:38:48
Maximum2024-05-09 09:35:38
2024-05-11T09:26:25.659899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:26:26.244505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
U
145 
I
68 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 145
68.1%
I 68
31.9%

Length

2024-05-11T09:26:26.605639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:26:26.898215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 145
68.1%
i 68
31.9%
Distinct127
Distinct (%)59.6%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 23:01:00
2024-05-11T09:26:27.456720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:26:27.971512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing213
Missing (%)100.0%
Memory size2.0 KiB

좌표정보(X)
Real number (ℝ)

Distinct140
Distinct (%)66.4%
Missing2
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean197826.12
Minimum195086.36
Maximum200751.84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-05-11T09:26:28.438102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum195086.36
5-th percentile196224.67
Q1197058.93
median197414.57
Q3199105.36
95-th percentile200357.92
Maximum200751.84
Range5665.4804
Interquartile range (IQR)2046.4323

Descriptive statistics

Standard deviation1321.6095
Coefficient of variation (CV)0.0066806621
Kurtosis-0.60573655
Mean197826.12
Median Absolute Deviation (MAD)420.80349
Skewness0.69633103
Sum41741311
Variance1746651.6
MonotonicityNot monotonic
2024-05-11T09:26:28.846672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
200562.054329169 5
 
2.3%
197117.41843467 5
 
2.3%
196060.559012563 5
 
2.3%
197105.426566714 5
 
2.3%
197415.995346161 4
 
1.9%
197083.100438264 4
 
1.9%
197143.611431282 4
 
1.9%
197011.737528847 4
 
1.9%
199745.379090768 4
 
1.9%
199720.301934266 3
 
1.4%
Other values (130) 168
78.9%
ValueCountFrequency (%)
195086.35935132 2
 
0.9%
195547.140326252 1
 
0.5%
195682.091385409 1
 
0.5%
195956.83241222 1
 
0.5%
196060.559012563 5
2.3%
196200.389689141 1
 
0.5%
196248.942145278 1
 
0.5%
196286.107478088 1
 
0.5%
196347.630368025 1
 
0.5%
196370.746398773 1
 
0.5%
ValueCountFrequency (%)
200751.839771325 1
 
0.5%
200630.965051952 1
 
0.5%
200571.725921493 1
 
0.5%
200562.054329169 5
2.3%
200559.36615505 1
 
0.5%
200460.83135123 1
 
0.5%
200415.970306611 1
 
0.5%
200299.87733922 1
 
0.5%
200289.344084469 1
 
0.5%
200121.769596271 1
 
0.5%

좌표정보(Y)
Real number (ℝ)

Distinct140
Distinct (%)66.4%
Missing2
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean448367.25
Minimum446114.16
Maximum450296.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-05-11T09:26:29.407127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum446114.16
5-th percentile447078.5
Q1447611.73
median448041.58
Q3449104.13
95-th percentile450098.85
Maximum450296.59
Range4182.434
Interquartile range (IQR)1492.3988

Descriptive statistics

Standard deviation949.35825
Coefficient of variation (CV)0.0021173675
Kurtosis-0.72407476
Mean448367.25
Median Absolute Deviation (MAD)561.54494
Skewness0.50792552
Sum94605490
Variance901281.08
MonotonicityNot monotonic
2024-05-11T09:26:29.922345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
447604.291099445 5
 
2.3%
447527.338271365 5
 
2.3%
447732.807254308 5
 
2.3%
447582.719757807 5
 
2.3%
449332.324805725 4
 
1.9%
447552.774477998 4
 
1.9%
447561.482331264 4
 
1.9%
447430.100250997 4
 
1.9%
448092.921878498 4
 
1.9%
447858.813921307 3
 
1.4%
Other values (130) 168
78.9%
ValueCountFrequency (%)
446114.155238838 1
0.5%
446581.985682542 1
0.5%
446768.129158285 1
0.5%
446893.484429691 1
0.5%
446916.65536656 1
0.5%
446951.304743913 1
0.5%
447018.229954729 1
0.5%
447037.457104011 1
0.5%
447073.62284187 1
0.5%
447077.126289262 2
0.9%
ValueCountFrequency (%)
450296.589217562 3
1.4%
450288.561776513 2
0.9%
450255.757958327 1
 
0.5%
450247.06018934 1
 
0.5%
450194.307148302 1
 
0.5%
450187.639791092 1
 
0.5%
450132.909155969 2
0.9%
450064.79037152 1
 
0.5%
450052.734281816 1
 
0.5%
450052.107558796 1
 
0.5%
Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
109 
종합여행업
104 

Length

Max length5
Median length4
Mean length4.4882629
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 109
51.2%
종합여행업 104
48.8%

Length

2024-05-11T09:26:30.560381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:26:31.022460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 109
51.2%
종합여행업 104
48.8%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing213
Missing (%)100.0%
Memory size2.0 KiB

지역구분명
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
199 
일반주거지역
 
9
근린상업지역
 
2
일반상업지역
 
2
준주거지역
 
1

Length

Max length6
Median length4
Mean length4.1267606
Min length4

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 199
93.4%
일반주거지역 9
 
4.2%
근린상업지역 2
 
0.9%
일반상업지역 2
 
0.9%
준주거지역 1
 
0.5%

Length

2024-05-11T09:26:31.577756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:26:32.156805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 199
93.4%
일반주거지역 9
 
4.2%
근린상업지역 2
 
0.9%
일반상업지역 2
 
0.9%
준주거지역 1
 
0.5%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)43.8%
Missing197
Missing (%)92.5%
Infinite0
Infinite (%)0.0%
Mean4
Minimum0
Maximum11
Zeros6
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-05-11T09:26:32.679501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q36.25
95-th percentile8.75
Maximum11
Range11
Interquartile range (IQR)6.25

Descriptive statistics

Standard deviation3.6147845
Coefficient of variation (CV)0.90369611
Kurtosis-1.1295088
Mean4
Median Absolute Deviation (MAD)2.5
Skewness0.17421166
Sum64
Variance13.066667
MonotonicityNot monotonic
2024-05-11T09:26:33.022461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 6
 
2.8%
6 4
 
1.9%
7 2
 
0.9%
3 1
 
0.5%
8 1
 
0.5%
4 1
 
0.5%
11 1
 
0.5%
(Missing) 197
92.5%
ValueCountFrequency (%)
0 6
2.8%
3 1
 
0.5%
4 1
 
0.5%
6 4
1.9%
7 2
 
0.9%
8 1
 
0.5%
11 1
 
0.5%
ValueCountFrequency (%)
11 1
 
0.5%
8 1
 
0.5%
7 2
 
0.9%
6 4
1.9%
4 1
 
0.5%
3 1
 
0.5%
0 6
2.8%

주변환경명
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
208 
기타
 
4
학교정화(상대)
 
1

Length

Max length8
Median length4
Mean length3.9812207
Min length2

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 208
97.7%
기타 4
 
1.9%
학교정화(상대) 1
 
0.5%

Length

2024-05-11T09:26:33.458300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:26:33.873374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 208
97.7%
기타 4
 
1.9%
학교정화(상대 1
 
0.5%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing213
Missing (%)100.0%
Memory size2.0 KiB

보험기관명
Categorical

Distinct35
Distinct (%)16.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
113 
서울보증보험주식회사
19 
서울보증보험(5천만원)
14 
서울보증보험
14 
한국관광협회중앙회 여행공제회
 
6
Other values (30)
47 

Length

Max length21
Median length4
Mean length7.6948357
Min length4

Unique

Unique21 ?
Unique (%)9.9%

Sample

1st row<NA>
2nd row<NA>
3rd row한국관광협회중앙회 여행공제회
4th row서울보증보험(주)65,000,000
5th row서울보증보험주식회사

Common Values

ValueCountFrequency (%)
<NA> 113
53.1%
서울보증보험주식회사 19
 
8.9%
서울보증보험(5천만원) 14
 
6.6%
서울보증보험 14
 
6.6%
한국관광협회중앙회 여행공제회 6
 
2.8%
서울보증보험(주)50,000,000 5
 
2.3%
서울보증보험(50,000,000) 4
 
1.9%
서울보증보험(5천) 4
 
1.9%
한국관광협회중앙회 3
 
1.4%
한국관광협회중앙회(5천) 2
 
0.9%
Other values (25) 29
 
13.6%

Length

2024-05-11T09:26:34.427109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 113
51.1%
서울보증보험주식회사 19
 
8.6%
서울보증보험(5천만원 14
 
6.3%
서울보증보험 14
 
6.3%
한국관광협회중앙회 9
 
4.1%
여행공제회 7
 
3.2%
서울보증보험(주)50,000,000 6
 
2.7%
서울보증보험(50,000,000 4
 
1.8%
서울보증보험(5천 4
 
1.8%
서울보증보험(주 3
 
1.4%
Other values (24) 28
 
12.7%

건물용도명
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
197 
근린생활시설
 
13
사무실
 
3

Length

Max length6
Median length4
Mean length4.1079812
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 197
92.5%
근린생활시설 13
 
6.1%
사무실 3
 
1.4%

Length

2024-05-11T09:26:34.914378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:26:35.326327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 197
92.5%
근린생활시설 13
 
6.1%
사무실 3
 
1.4%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)42.1%
Missing194
Missing (%)91.1%
Infinite0
Infinite (%)0.0%
Mean3.4736842
Minimum0
Maximum8
Zeros5
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-05-11T09:26:35.645286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q35
95-th percentile7.1
Maximum8
Range8
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.5247315
Coefficient of variation (CV)0.72681664
Kurtosis-0.94644885
Mean3.4736842
Median Absolute Deviation (MAD)1
Skewness-0.16230159
Sum66
Variance6.374269
MonotonicityNot monotonic
2024-05-11T09:26:36.161418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 5
 
2.3%
5 5
 
2.3%
4 3
 
1.4%
3 2
 
0.9%
2 1
 
0.5%
7 1
 
0.5%
8 1
 
0.5%
6 1
 
0.5%
(Missing) 194
91.1%
ValueCountFrequency (%)
0 5
2.3%
2 1
 
0.5%
3 2
 
0.9%
4 3
1.4%
5 5
2.3%
6 1
 
0.5%
7 1
 
0.5%
8 1
 
0.5%
ValueCountFrequency (%)
8 1
 
0.5%
7 1
 
0.5%
6 1
 
0.5%
5 5
2.3%
4 3
1.4%
3 2
 
0.9%
2 1
 
0.5%
0 5
2.3%

지하층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
198 
1
 
7
0
 
6
2
 
1
3
 
1

Length

Max length4
Median length4
Mean length3.7887324
Min length1

Unique

Unique2 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 198
93.0%
1 7
 
3.3%
0 6
 
2.8%
2 1
 
0.5%
3 1
 
0.5%

Length

2024-05-11T09:26:36.783940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:26:37.185533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 198
93.0%
1 7
 
3.3%
0 6
 
2.8%
2 1
 
0.5%
3 1
 
0.5%

객실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
207 
0
 
6

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> 207
97.2%
0 6
 
2.8%

Length

2024-05-11T09:26:37.897134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:26:38.473001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 207
97.2%
0 6
 
2.8%

건축연면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
207 
0
 
6

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> 207
97.2%
0 6
 
2.8%

Length

2024-05-11T09:26:39.040044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:26:39.592493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 207
97.2%
0 6
 
2.8%

영문상호명
Text

MISSING 

Distinct30
Distinct (%)100.0%
Missing183
Missing (%)85.9%
Memory size1.8 KiB
2024-05-11T09:26:40.389235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length22.5
Mean length19.533333
Min length9

Characters and Unicode

Total characters586
Distinct characters48
Distinct categories7 ?
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 rowCHARM VIT INDUSTRY CO., LTD.
2nd rowKORIDOOR Co., Ltd
3rd rowNISHAW TRAVEL & TOUR CO.,LTD
4th rowDONGBO TRAVEL Co.Ltd
5th rowAdonis travel Agency Co. Ltd
ValueCountFrequency (%)
travel 8
 
8.3%
co 7
 
7.3%
ltd 7
 
7.3%
co.,ltd 6
 
6.2%
tour 4
 
4.2%
inc 3
 
3.1%
co.ltd 3
 
3.1%
korea 3
 
3.1%
bridge 2
 
2.1%
seoul 2
 
2.1%
Other values (48) 51
53.1%
2024-05-11T09:26:41.883096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
68
 
11.6%
O 29
 
4.9%
L 29
 
4.9%
A 26
 
4.4%
T 24
 
4.1%
. 24
 
4.1%
C 21
 
3.6%
e 20
 
3.4%
I 19
 
3.2%
o 19
 
3.2%
Other values (38) 307
52.4%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 293
50.0%
Lowercase Letter 184
31.4%
Space Separator 68
 
11.6%
Other Punctuation 38
 
6.5%
Dash Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
O 29
 
9.9%
L 29
 
9.9%
A 26
 
8.9%
T 24
 
8.2%
C 21
 
7.2%
I 19
 
6.5%
R 18
 
6.1%
D 17
 
5.8%
S 15
 
5.1%
E 15
 
5.1%
Other values (12) 80
27.3%
Lowercase Letter
ValueCountFrequency (%)
e 20
10.9%
o 19
10.3%
l 18
9.8%
a 17
9.2%
t 17
9.2%
n 14
7.6%
r 12
 
6.5%
d 12
 
6.5%
i 11
 
6.0%
c 10
 
5.4%
Other values (9) 34
18.5%
Other Punctuation
ValueCountFrequency (%)
. 24
63.2%
, 13
34.2%
& 1
 
2.6%
Space Separator
ValueCountFrequency (%)
68
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 477
81.4%
Common 109
 
18.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 29
 
6.1%
L 29
 
6.1%
A 26
 
5.5%
T 24
 
5.0%
C 21
 
4.4%
e 20
 
4.2%
I 19
 
4.0%
o 19
 
4.0%
R 18
 
3.8%
l 18
 
3.8%
Other values (31) 254
53.2%
Common
ValueCountFrequency (%)
68
62.4%
. 24
 
22.0%
, 13
 
11.9%
- 1
 
0.9%
& 1
 
0.9%
) 1
 
0.9%
( 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 586
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
68
 
11.6%
O 29
 
4.9%
L 29
 
4.9%
A 26
 
4.4%
T 24
 
4.1%
. 24
 
4.1%
C 21
 
3.6%
e 20
 
3.4%
I 19
 
3.2%
o 19
 
3.2%
Other values (38) 307
52.4%

영문상호주소
Categorical

IMBALANCE 

Distinct8
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
184 
Travel Agency
 
13
General travel business
 
7
GENERAL TRAVEL BUSINESS
 
5
General and Foreign Travel Agencies
 
1
Other values (3)
 
3

Length

Max length35
Median length4
Mean length5.9859155
Min length4

Unique

Unique4 ?
Unique (%)1.9%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th rowGeneral and Foreign Travel Agencies
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 184
86.4%
Travel Agency 13
 
6.1%
General travel business 7
 
3.3%
GENERAL TRAVEL BUSINESS 5
 
2.3%
General and Foreign Travel Agencies 1
 
0.5%
General Travel Agency 1
 
0.5%
Travel Business 1
 
0.5%
General Travel Business 1
 
0.5%

Length

2024-05-11T09:26:42.928258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:26:43.342962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 184
71.0%
travel 29
 
11.2%
general 15
 
5.8%
agency 14
 
5.4%
business 14
 
5.4%
and 1
 
0.4%
foreign 1
 
0.4%
agencies 1
 
0.4%

선박총톤수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
207 
0
 
6

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> 207
97.2%
0 6
 
2.8%

Length

2024-05-11T09:26:43.800669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:26:44.125720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 207
97.2%
0 6
 
2.8%

선박척수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
207 
0
 
6

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> 207
97.2%
0 6
 
2.8%

Length

2024-05-11T09:26:44.475803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:26:44.904757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 207
97.2%
0 6
 
2.8%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing213
Missing (%)100.0%
Memory size2.0 KiB

무대면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
207 
0
 
6

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> 207
97.2%
0 6
 
2.8%

Length

2024-05-11T09:26:45.406433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:26:46.016752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 207
97.2%
0 6
 
2.8%

좌석수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
207 
0
 
6

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> 207
97.2%
0 6
 
2.8%

Length

2024-05-11T09:26:46.499631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:26:47.072545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 207
97.2%
0 6
 
2.8%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing213
Missing (%)100.0%
Memory size2.0 KiB

회의실별동시수용인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
207 
0
 
6

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> 207
97.2%
0 6
 
2.8%

Length

2024-05-11T09:26:47.567632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:26:48.062582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 207
97.2%
0 6
 
2.8%

시설면적
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)93.3%
Missing183
Missing (%)85.9%
Infinite0
Infinite (%)0.0%
Mean97.310667
Minimum0
Maximum848
Zeros2
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-05-11T09:26:48.612279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.5
Q127.75
median46.91
Q372.045
95-th percentile390.0305
Maximum848
Range848
Interquartile range (IQR)44.295

Descriptive statistics

Standard deviation175.68707
Coefficient of variation (CV)1.8054246
Kurtosis13.065
Mean97.310667
Median Absolute Deviation (MAD)21.355
Skewness3.5628915
Sum2919.32
Variance30865.947
MonotonicityNot monotonic
2024-05-11T09:26:49.234221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
33.0 2
 
0.9%
0.0 2
 
0.9%
53.3 1
 
0.5%
848.0 1
 
0.5%
169.2 1
 
0.5%
570.71 1
 
0.5%
90.91 1
 
0.5%
30.0 1
 
0.5%
23.14 1
 
0.5%
70.38 1
 
0.5%
Other values (18) 18
 
8.5%
(Missing) 183
85.9%
ValueCountFrequency (%)
0.0 2
0.9%
10.0 1
0.5%
11.0 1
0.5%
23.14 1
0.5%
25.19 1
0.5%
25.92 1
0.5%
27.0 1
0.5%
30.0 1
0.5%
30.02 1
0.5%
33.0 2
0.9%
ValueCountFrequency (%)
848.0 1
0.5%
570.71 1
0.5%
169.2 1
0.5%
161.59 1
0.5%
149.52 1
0.5%
99.0 1
0.5%
90.91 1
0.5%
72.6 1
0.5%
70.38 1
0.5%
67.5 1
0.5%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing213
Missing (%)100.0%
Memory size2.0 KiB

놀이시설수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
207 
0
 
6

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> 207
97.2%
0 6
 
2.8%

Length

2024-05-11T09:26:49.826839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:26:50.290056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 207
97.2%
0 6
 
2.8%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing213
Missing (%)100.0%
Memory size2.0 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing213
Missing (%)100.0%
Memory size2.0 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing213
Missing (%)100.0%
Memory size2.0 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing213
Missing (%)100.0%
Memory size2.0 KiB

기획여행보험시작일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
210 
20140107
 
1
20180312
 
1
20191125
 
1

Length

Max length8
Median length4
Mean length4.056338
Min length4

Unique

Unique3 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 210
98.6%
20140107 1
 
0.5%
20180312 1
 
0.5%
20191125 1
 
0.5%

Length

2024-05-11T09:26:50.869097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:26:51.285505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 210
98.6%
20140107 1
 
0.5%
20180312 1
 
0.5%
20191125 1
 
0.5%

기획여행보험종료일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
210 
20150106
 
1
20190311
 
1
20201125
 
1

Length

Max length8
Median length4
Mean length4.056338
Min length4

Unique

Unique3 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 210
98.6%
20150106 1
 
0.5%
20190311 1
 
0.5%
20201125 1
 
0.5%

Length

2024-05-11T09:26:51.828493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:26:52.215412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 210
98.6%
20150106 1
 
0.5%
20190311 1
 
0.5%
20201125 1
 
0.5%

자본금
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)34.4%
Missing117
Missing (%)54.9%
Infinite0
Infinite (%)0.0%
Mean5.7691884 × 108
Minimum35000000
Maximum2.2760144 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-05-11T09:26:52.724389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35000000
5-th percentile1 × 108
Q11 × 108
median2 × 108
Q33 × 108
95-th percentile5.3132251 × 108
Maximum2.2760144 × 1010
Range2.2725144 × 1010
Interquartile range (IQR)2 × 108

Descriptive statistics

Standard deviation2.4136376 × 109
Coefficient of variation (CV)4.1836692
Kurtosis77.211312
Mean5.7691884 × 108
Median Absolute Deviation (MAD)1 × 108
Skewness8.4991823
Sum5.5384209 × 1010
Variance5.8256465 × 1018
MonotonicityNot monotonic
2024-05-11T09:26:53.303084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
100000000 27
 
12.7%
200000000 24
 
11.3%
350000000 10
 
4.7%
300000000 4
 
1.9%
250000000 2
 
0.9%
210000000 2
 
0.9%
205156583 1
 
0.5%
242739455 1
 
0.5%
500000000 1
 
0.5%
122434005 1
 
0.5%
Other values (23) 23
 
10.8%
(Missing) 117
54.9%
ValueCountFrequency (%)
35000000 1
 
0.5%
100000000 27
12.7%
100990405 1
 
0.5%
102082066 1
 
0.5%
102202133 1
 
0.5%
122434005 1
 
0.5%
124073199 1
 
0.5%
129000000 1
 
0.5%
135943628 1
 
0.5%
165000000 1
 
0.5%
ValueCountFrequency (%)
22760144176 1
0.5%
5300000000 1
0.5%
5000000000 1
0.5%
3000000000 1
0.5%
535290034 1
0.5%
530000000 1
0.5%
515552000 1
0.5%
500000000 1
0.5%
470000000 1
0.5%
406000000 1
0.5%

보험시작일자
Real number (ℝ)

MISSING 

Distinct102
Distinct (%)99.0%
Missing110
Missing (%)51.6%
Infinite0
Infinite (%)0.0%
Mean20168629
Minimum20091113
Maximum20220127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-05-11T09:26:53.755587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20091113
5-th percentile20102136
Q120150310
median20180306
Q320190820
95-th percentile20210493
Maximum20220127
Range129014
Interquartile range (IQR)40510.5

Descriptive statistics

Standard deviation31868.692
Coefficient of variation (CV)0.001580112
Kurtosis-0.39989295
Mean20168629
Median Absolute Deviation (MAD)19705
Skewness-0.65306246
Sum2.0773687 × 109
Variance1.0156135 × 109
MonotonicityNot monotonic
2024-05-11T09:26:54.335851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20181024 2
 
0.9%
20180623 1
 
0.5%
20180510 1
 
0.5%
20190418 1
 
0.5%
20180410 1
 
0.5%
20180306 1
 
0.5%
20190122 1
 
0.5%
20181213 1
 
0.5%
20181117 1
 
0.5%
20201030 1
 
0.5%
Other values (92) 92
43.2%
(Missing) 110
51.6%
ValueCountFrequency (%)
20091113 1
0.5%
20100201 1
0.5%
20100804 1
0.5%
20101014 1
0.5%
20101021 1
0.5%
20101218 1
0.5%
20110401 1
0.5%
20110525 1
0.5%
20110708 1
0.5%
20120816 1
0.5%
ValueCountFrequency (%)
20220127 1
0.5%
20220102 1
0.5%
20210819 1
0.5%
20210812 1
0.5%
20210525 1
0.5%
20210501 1
0.5%
20210422 1
0.5%
20210414 1
0.5%
20210224 1
0.5%
20210113 1
0.5%

보험종료일자
Real number (ℝ)

MISSING 

Distinct102
Distinct (%)99.0%
Missing110
Missing (%)51.6%
Infinite0
Infinite (%)0.0%
Mean20178825
Minimum20101113
Maximum20230126
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-05-11T09:26:54.866269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20101113
5-th percentile20112129
Q120160310
median20190305
Q320200820
95-th percentile20220429
Maximum20230126
Range129013
Interquartile range (IQR)40510.5

Descriptive statistics

Standard deviation31809.499
Coefficient of variation (CV)0.0015763801
Kurtosis-0.38018514
Mean20178825
Median Absolute Deviation (MAD)19688
Skewness-0.66818959
Sum2.078419 × 109
Variance1.0118442 × 109
MonotonicityNot monotonic
2024-05-11T09:26:55.520068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20191023 2
 
0.9%
20190622 1
 
0.5%
20190509 1
 
0.5%
20200417 1
 
0.5%
20190409 1
 
0.5%
20190305 1
 
0.5%
20200121 1
 
0.5%
20191212 1
 
0.5%
20191116 1
 
0.5%
20211029 1
 
0.5%
Other values (92) 92
43.2%
(Missing) 110
51.6%
ValueCountFrequency (%)
20101113 1
0.5%
20110131 1
0.5%
20110804 1
0.5%
20111013 1
0.5%
20111020 1
0.5%
20111218 1
0.5%
20120331 1
0.5%
20120524 1
0.5%
20120708 1
0.5%
20130816 1
0.5%
ValueCountFrequency (%)
20230126 1
0.5%
20230101 1
0.5%
20220819 1
0.5%
20220812 1
0.5%
20220524 1
0.5%
20220430 1
0.5%
20220422 1
0.5%
20220413 1
0.5%
20220223 1
0.5%
20220112 1
0.5%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing213
Missing (%)100.0%
Memory size2.0 KiB

시설규모
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)86.7%
Missing183
Missing (%)85.9%
Infinite0
Infinite (%)0.0%
Mean97.366667
Minimum0
Maximum848
Zeros2
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-05-11T09:26:56.115258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.5
Q127.75
median47
Q372.25
95-th percentile390.1
Maximum848
Range848
Interquartile range (IQR)44.5

Descriptive statistics

Standard deviation175.71833
Coefficient of variation (CV)1.8047072
Kurtosis13.053626
Mean97.366667
Median Absolute Deviation (MAD)21.5
Skewness3.5613376
Sum2921
Variance30876.93
MonotonicityNot monotonic
2024-05-11T09:26:56.622114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
30 2
 
0.9%
33 2
 
0.9%
0 2
 
0.9%
47 2
 
0.9%
26 1
 
0.5%
848 1
 
0.5%
169 1
 
0.5%
571 1
 
0.5%
91 1
 
0.5%
23 1
 
0.5%
Other values (16) 16
 
7.5%
(Missing) 183
85.9%
ValueCountFrequency (%)
0 2
0.9%
10 1
0.5%
11 1
0.5%
23 1
0.5%
25 1
0.5%
26 1
0.5%
27 1
0.5%
30 2
0.9%
33 2
0.9%
34 1
0.5%
ValueCountFrequency (%)
848 1
0.5%
571 1
0.5%
169 1
0.5%
162 1
0.5%
150 1
0.5%
99 1
0.5%
91 1
0.5%
73 1
0.5%
70 1
0.5%
68 1
0.5%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03020000CDFI22600419890000011989-06-09<NA>1영업/정상13영업중<NA><NA><NA><NA>02)793-9922<NA>140-889서울특별시 용산구 한남동 110-1 전국관광빌딩 401호서울특별시 용산구 독서당로 23, 401호 (한남동, 전국관광빌딩)04410(주)전국관광2024-02-23 17:15:01U2023-12-01 22:05:00.0<NA>200562.054329447604.291099<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13020000CDFI22600419910000011991-09-17<NA>1영업/정상13영업중<NA><NA><NA><NA>02)790-3341<NA>140-026서울특별시 용산구 용산동6가 69-167 신동아쇼핑센터 2층서울특별시 용산구 이촌로 352 (용산동6가,신동아쇼핑센터 2층)<NA>(주)내외여행사2023-09-05 16:25:42U2022-12-09 00:07:00.0<NA>198622.89265446114.155239<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23020000CDFI226004199100000219911019<NA>3폐업3폐업20110826<NA><NA><NA>02)739-2020<NA>140025서울특별시 용산구 용산동5가 24번지 파크타워 103동 302호서울특별시 용산구 서빙고로 67, 103동 302호 (용산동5가,파크타워)<NA>피아이씨코리아(주)2011-08-29 10:20:48I2018-08-31 23:59:59.0<NA>197338.915067446893.48443종합여행업<NA><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>4700000002010080420110804<NA><NA>
33020000CDFI226004199900000119990811<NA>3폐업3폐업20201019<NA><NA><NA>02-790-0021<NA>140160서울특별시 용산구 남영동 17-1서울특별시 용산구 한강대로 296 (남영동)04352참빛산업(주)2020-10-19 16:14:50U2020-10-21 02:40:00.0<NA>197504.647925449160.021905종합여행업<NA><NA><NA><NA><NA>서울보증보험(주)65,000,000<NA><NA><NA><NA><NA>CHARM VIT INDUSTRY CO., LTD.General and Foreign Travel Agencies<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>53000000002020011920210118<NA><NA>
43020000CDFI226004199900000219990819201708284취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>02)777-1313<NA>140901서울특별시 용산구 후암동 244-79번지서울특별시 용산구 후암로28길 38 (후암동)<NA>(주)티파니여행사2017-08-29 09:16:48I2018-08-31 23:59:59.0<NA>198101.445233449672.909205종합여행업<NA><NA><NA><NA><NA>서울보증보험주식회사<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3500000002012113020141130<NA><NA>
53020000CDFI226004200000000120001218<NA>3폐업3폐업20151208<NA><NA><NA>02)3785-0127<NA>140210서울특별시 용산구 한남동 273-3번지 청화빌딩 401호서울특별시 용산구 독서당로 78 (한남동,청화빌딩 401호)<NA>(주)박경숙여행사2015-12-08 14:33:35I2018-08-31 23:59:59.0<NA>200751.839771447965.939577종합여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3500000002010121820111218<NA><NA>
63020000CDFI22600420010000012001-02-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>140-858서울특별시 용산구 이태원동 137-8 606호서울특별시 용산구 우사단로 36 (이태원동,606호)<NA>(주)대풍관광여행사2023-09-05 08:39:58U2022-12-09 00:07:00.0<NA>199554.378391447915.516566<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73020000CDFI226004200200000220021012<NA>3폐업3폐업20110401<NA><NA><NA>02)713-7741<NA>140845서울특별시 용산구 원효로1가 112-4번지 디아뜨센트럴 210호서울특별시 용산구 원효로 268 (원효로1가,디아뜨센트럴 210호)<NA>이패밀리만기츠서울투어(주)2011-04-04 09:38:48I2018-08-31 23:59:59.0<NA>197308.865165448745.657721종합여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3500000002009111320101113<NA><NA>
83020000CDFI226004200300000320031030<NA>1영업/정상13영업중<NA><NA><NA><NA>02-739-3337<NA><NA>서울특별시 용산구 한강로3가 16-49 삼구빌딩 1416호서울특별시 용산구 청파로 40, 삼구빌딩 1416호 (한강로3가)04373(주)와우코리아관광2022-06-17 16:24:20U2021-12-05 23:09:00.0<NA>196060.559013447732.807254<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93020000CDFI22600420050000032005-01-07<NA>1영업/정상13영업중<NA><NA><NA><NA>02-773-7444<NA>140-871서울특별시 용산구 한강로2가 2-36 한강현대하이엘 1111호서울특별시 용산구 새창로 213-12, 11층 1111호 (한강로2가, 한강현대하이엘)140-871(주)믿음여행사2024-04-04 16:20:47U2023-12-04 00:06:00.0<NA>197105.426567447582.719758<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
2033020000CDFI22600420230000202019-04-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 한남동 726-116 한남오피스텔서울특별시 용산구 한남대로36길 6, 한남오피스텔 103호 (한남동)04417주식회사 가트래블2023-09-13 14:17:22I2022-12-08 23:05:00.0<NA>200289.344084448769.514767<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2043020000CDFI22600420230000212023-09-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 한강로2가 422 래미안용산 더 센트럴서울특별시 용산구 한강대로 95, B동 1425호 (한강로2가, 래미안용산 더 센트럴)04378글로우업 서울2023-10-05 09:45:19U2022-10-31 00:07:00.0<NA>197011.737529447430.100251<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2053020000CDFI22600420230000222023-10-27<NA>1영업/정상13영업중<NA><NA><NA><NA>02-717-8772<NA><NA>서울특별시 용산구 한강로2가 312-4 대우디오빌서울특별시 용산구 한강대로 115, 대우디오빌 지1층 111호 (한강로2가)04376(주)문투어2023-11-28 14:00:50U2022-10-31 21:00:00.0<NA>197143.611431447561.482331<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2063020000CDFI22600420230000232023-11-15<NA>1영업/정상13영업중<NA><NA><NA><NA>02-518-5468<NA><NA>서울특별시 용산구 한남동 729-43 캐럿글로벌 캠퍼스서울특별시 용산구 이태원로 268-20, 캐럿글로벌 캠퍼스 (한남동)04399(주) 캐럿글로벌2023-11-17 17:13:24U2022-10-31 23:09:00.0<NA>200121.769596448446.126372<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2073020000CDFI22600420230000242023-12-01<NA>1영업/정상13영업중<NA><NA><NA><NA>02-790-1422<NA><NA>서울특별시 용산구 한강로2가 71서울특별시 용산구 한강대로40길 43, 203호 (한강로2가)04382(주)네모아이엔씨2023-12-05 08:51:19U2022-11-02 00:07:00.0<NA>197430.260839447554.444781<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2083020000CDFI22600420240000012023-02-14<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7847-9000<NA><NA>서울특별시 용산구 용문동 28-5 티앤티빌딩 2층서울특별시 용산구 새창로 101, 티앤티빌딩 2층 (용문동)04355주식회사 아칸2024-01-23 17:34:22U2023-11-30 22:05:00.0<NA>196401.040422448458.182937<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2093020000CDFI22600420240000022024-01-31<NA>1영업/정상13영업중<NA><NA><NA><NA>02-779-6318<NA><NA>서울특별시 용산구 남영동 17-1 참빛빌딩서울특별시 용산구 한강대로 296, 참빛빌딩 601호 (남영동)04352주식회사 에이엠피알2024-02-02 17:31:37U2023-12-02 00:04:00.0<NA>197504.647925449160.021905<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2103020000CDFI22600420240000032024-02-05<NA>1영업/정상13영업중<NA><NA><NA><NA>02-318-2553<NA><NA>서울특별시 용산구 남영동 62-1서울특별시 용산구 한강대로80길 11-49, 2층 (남영동)04352주식회사 한국갭이어2024-02-19 12:08:23U2023-12-01 22:01:00.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2113020000CDFI22600420240000042014-03-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 한강로2가 422 래미안용산 더 센트럴서울특별시 용산구 한강대로 95, 에이동 910호 (한강로2가, 래미안용산 더 센트럴)04378직능연합크루즈 주식회사2024-02-22 16:42:48U2023-12-01 22:04:00.0<NA>197011.737529447430.100251<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2123020000CDFI22600420240000052024-03-25<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 한강로1가 231-15 신승빌딩서울특별시 용산구 한강대로54길 25, 신승빌딩 3층 (한강로1가)04382주식회사 아이펠스2024-04-08 09:55:01U2023-12-03 23:00:00.0<NA>197539.577261447819.127452<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>