Overview

Dataset statistics

Number of variables60
Number of observations90
Missing cells3017
Missing cells (%)55.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory45.7 KiB
Average record size in memory520.5 B

Variable types

Categorical15
Text10
DateTime6
Unsupported24
Numeric5

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-17607/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 has constant value ""Constant
휴업종료일자 has constant value ""Constant
지역구분명 has constant value ""Constant
보험기관명 is highly imbalanced (70.4%)Imbalance
지상층수 is highly imbalanced (91.2%)Imbalance
지하층수 is highly imbalanced (91.2%)Imbalance
시설면적 is highly imbalanced (84.9%)Imbalance
기획여행보험시작일자 is highly imbalanced (91.2%)Imbalance
기획여행보험종료일자 is highly imbalanced (91.2%)Imbalance
자본금 is highly imbalanced (65.8%)Imbalance
시설규모 is highly imbalanced (84.9%)Imbalance
인허가취소일자 has 90 (100.0%) missing valuesMissing
폐업일자 has 55 (61.1%) missing valuesMissing
휴업시작일자 has 89 (98.9%) missing valuesMissing
휴업종료일자 has 89 (98.9%) missing valuesMissing
재개업일자 has 90 (100.0%) missing valuesMissing
전화번호 has 38 (42.2%) missing valuesMissing
소재지면적 has 90 (100.0%) missing valuesMissing
소재지우편번호 has 81 (90.0%) missing valuesMissing
도로명우편번호 has 2 (2.2%) missing valuesMissing
업태구분명 has 90 (100.0%) missing valuesMissing
좌표정보(X) has 1 (1.1%) missing valuesMissing
좌표정보(Y) has 1 (1.1%) missing valuesMissing
문화사업자구분명 has 90 (100.0%) missing valuesMissing
지역구분명 has 89 (98.9%) missing valuesMissing
총층수 has 90 (100.0%) missing valuesMissing
주변환경명 has 90 (100.0%) missing valuesMissing
제작취급품목내용 has 90 (100.0%) missing valuesMissing
건물용도명 has 86 (95.6%) missing valuesMissing
객실수 has 90 (100.0%) missing valuesMissing
건축연면적 has 90 (100.0%) missing valuesMissing
영문상호명 has 85 (94.4%) missing valuesMissing
영문상호주소 has 85 (94.4%) missing valuesMissing
선박총톤수 has 90 (100.0%) missing valuesMissing
선박척수 has 90 (100.0%) missing valuesMissing
선박제원 has 90 (100.0%) missing valuesMissing
무대면적 has 90 (100.0%) missing valuesMissing
좌석수 has 90 (100.0%) missing valuesMissing
기념품종류 has 90 (100.0%) missing valuesMissing
회의실별동시수용인원 has 90 (100.0%) missing valuesMissing
놀이기구수내역 has 90 (100.0%) missing valuesMissing
놀이시설수 has 90 (100.0%) missing valuesMissing
방송시설유무 has 90 (100.0%) missing valuesMissing
발전시설유무 has 90 (100.0%) missing valuesMissing
의무실유무 has 90 (100.0%) missing valuesMissing
안내소유무 has 90 (100.0%) missing valuesMissing
보험시작일자 has 78 (86.7%) missing valuesMissing
보험종료일자 has 78 (86.7%) missing valuesMissing
부대시설내역 has 90 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
도로명주소 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
문화사업자구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주변환경명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
객실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건축연면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박총톤수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박척수 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
무대면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
좌석수 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
회의실별동시수용인원 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
놀이시설수 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

Reproduction

Analysis started2024-05-11 01:48:07.880954
Analysis finished2024-05-11 01:48:10.110532
Duration2.23 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size852.0 B
3050000
90 

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 90
100.0%

Length

2024-05-11T01:48:10.491679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:48:11.002646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3050000 90
100.0%

관리번호
Text

UNIQUE 

Distinct90
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size852.0 B
2024-05-11T01:48:11.557268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1800
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

Unique90 ?
Unique (%)100.0%

Sample

1st rowCDFI2260042008000001
2nd rowCDFI2260042008000002
3rd rowCDFI2260042009000001
4th rowCDFI2260042010000001
5th rowCDFI2260042012000001
ValueCountFrequency (%)
cdfi2260042008000001 1
 
1.1%
cdfi2260042022000004 1
 
1.1%
cdfi2260042022000002 1
 
1.1%
cdfi2260042022000001 1
 
1.1%
cdfi2260042021000004 1
 
1.1%
cdfi2260042021000003 1
 
1.1%
cdfi2260042021000002 1
 
1.1%
cdfi2260042021000001 1
 
1.1%
cdfi2260042020000007 1
 
1.1%
cdfi2260042020000006 1
 
1.1%
Other values (80) 80
88.9%
2024-05-11T01:48:12.578052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 719
39.9%
2 333
18.5%
4 107
 
5.9%
6 100
 
5.6%
C 90
 
5.0%
D 90
 
5.0%
F 90
 
5.0%
I 90
 
5.0%
1 88
 
4.9%
3 26
 
1.4%
Other values (4) 67
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1440
80.0%
Uppercase Letter 360
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 719
49.9%
2 333
23.1%
4 107
 
7.4%
6 100
 
6.9%
1 88
 
6.1%
3 26
 
1.8%
8 19
 
1.3%
7 17
 
1.2%
5 16
 
1.1%
9 15
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
C 90
25.0%
D 90
25.0%
F 90
25.0%
I 90
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1440
80.0%
Latin 360
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 719
49.9%
2 333
23.1%
4 107
 
7.4%
6 100
 
6.9%
1 88
 
6.1%
3 26
 
1.8%
8 19
 
1.3%
7 17
 
1.2%
5 16
 
1.1%
9 15
 
1.0%
Latin
ValueCountFrequency (%)
C 90
25.0%
D 90
25.0%
F 90
25.0%
I 90
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1800
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 719
39.9%
2 333
18.5%
4 107
 
5.9%
6 100
 
5.6%
C 90
 
5.0%
D 90
 
5.0%
F 90
 
5.0%
I 90
 
5.0%
1 88
 
4.9%
3 26
 
1.4%
Other values (4) 67
 
3.7%

인허가일자
Date

Distinct88
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size852.0 B
Minimum1982-09-30 00:00:00
Maximum2024-04-12 00:00:00
2024-05-11T01:48:13.088540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:48:13.596764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing90
Missing (%)100.0%
Memory size942.0 B

영업상태코드
Categorical

Distinct5
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size852.0 B
1
54 
3
22 
5
9 
4
 
4
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 54
60.0%
3 22
24.4%
5 9
 
10.0%
4 4
 
4.4%
2 1
 
1.1%

Length

2024-05-11T01:48:14.146165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:48:14.578197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 54
60.0%
3 22
24.4%
5 9
 
10.0%
4 4
 
4.4%
2 1
 
1.1%

영업상태명
Categorical

Distinct5
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size852.0 B
영업/정상
54 
폐업
22 
제외/삭제/전출
9 
취소/말소/만료/정지/중지
 
4
휴업
 
1

Length

Max length14
Median length5
Mean length4.9333333
Min length2

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 54
60.0%
폐업 22
24.4%
제외/삭제/전출 9
 
10.0%
취소/말소/만료/정지/중지 4
 
4.4%
휴업 1
 
1.1%

Length

2024-05-11T01:48:15.038990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:48:15.525390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 54
60.0%
폐업 22
24.4%
제외/삭제/전출 9
 
10.0%
취소/말소/만료/정지/중지 4
 
4.4%
휴업 1
 
1.1%

상세영업상태코드
Categorical

Distinct5
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size852.0 B
13
54 
3
22 
15
9 
35
 
4
2
 
1

Length

Max length2
Median length2
Mean length1.7444444
Min length1

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
13 54
60.0%
3 22
24.4%
15 9
 
10.0%
35 4
 
4.4%
2 1
 
1.1%

Length

2024-05-11T01:48:16.089324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:48:16.552080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 54
60.0%
3 22
24.4%
15 9
 
10.0%
35 4
 
4.4%
2 1
 
1.1%

상세영업상태명
Categorical

Distinct5
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size852.0 B
영업중
54 
폐업
22 
전출
9 
직권말소
 
4
휴업
 
1

Length

Max length4
Median length3
Mean length2.6888889
Min length2

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 54
60.0%
폐업 22
24.4%
전출 9
 
10.0%
직권말소 4
 
4.4%
휴업 1
 
1.1%

Length

2024-05-11T01:48:17.174564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:48:17.695504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 54
60.0%
폐업 22
24.4%
전출 9
 
10.0%
직권말소 4
 
4.4%
휴업 1
 
1.1%

폐업일자
Date

MISSING 

Distinct32
Distinct (%)91.4%
Missing55
Missing (%)61.1%
Memory size852.0 B
Minimum2009-10-13 00:00:00
Maximum2024-01-23 00:00:00
2024-05-11T01:48:18.227417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:48:18.672944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)

휴업시작일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing89
Missing (%)98.9%
Memory size852.0 B
Minimum2023-09-13 00:00:00
Maximum2023-09-13 00:00:00
2024-05-11T01:48:18.998816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:48:19.279905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

휴업종료일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing89
Missing (%)98.9%
Memory size852.0 B
Minimum2024-07-31 00:00:00
Maximum2024-07-31 00:00:00
2024-05-11T01:48:19.568773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:48:19.880936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing90
Missing (%)100.0%
Memory size942.0 B

전화번호
Text

MISSING 

Distinct51
Distinct (%)98.1%
Missing38
Missing (%)42.2%
Memory size852.0 B
2024-05-11T01:48:20.438942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.230769
Min length8

Characters and Unicode

Total characters584
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

Unique50 ?
Unique (%)96.2%

Sample

1st row2253-1900
2nd row567-6200
3rd row02-963-7557
4th row2213-3888
5th row725-4649
ValueCountFrequency (%)
02-953-1848 2
 
3.7%
02 2
 
3.7%
9639891 1
 
1.9%
2253-1900 1
 
1.9%
02-2677-0811 1
 
1.9%
02-3668-5508 1
 
1.9%
02-913-4568 1
 
1.9%
02-3394-9199 1
 
1.9%
02-771-6699 1
 
1.9%
02-2254-3377 1
 
1.9%
Other values (42) 42
77.8%
2024-05-11T01:48:21.970335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 97
16.6%
- 90
15.4%
0 87
14.9%
9 47
8.0%
5 47
8.0%
3 43
7.4%
6 43
7.4%
8 37
 
6.3%
1 35
 
6.0%
7 31
 
5.3%
Other values (2) 27
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 492
84.2%
Dash Punctuation 90
 
15.4%
Space Separator 2
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 97
19.7%
0 87
17.7%
9 47
9.6%
5 47
9.6%
3 43
8.7%
6 43
8.7%
8 37
 
7.5%
1 35
 
7.1%
7 31
 
6.3%
4 25
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 90
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 584
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 97
16.6%
- 90
15.4%
0 87
14.9%
9 47
8.0%
5 47
8.0%
3 43
7.4%
6 43
7.4%
8 37
 
6.3%
1 35
 
6.0%
7 31
 
5.3%
Other values (2) 27
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 584
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 97
16.6%
- 90
15.4%
0 87
14.9%
9 47
8.0%
5 47
8.0%
3 43
7.4%
6 43
7.4%
8 37
 
6.3%
1 35
 
6.0%
7 31
 
5.3%
Other values (2) 27
 
4.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing90
Missing (%)100.0%
Memory size942.0 B

소재지우편번호
Text

MISSING 

Distinct9
Distinct (%)100.0%
Missing81
Missing (%)90.0%
Memory size852.0 B
2024-05-11T01:48:22.450553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.2222222
Min length6

Characters and Unicode

Total characters56
Distinct characters10
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

Unique9 ?
Unique (%)100.0%

Sample

1st row130110
2nd row130101
3rd row130845
4th row130-723
5th row130805
ValueCountFrequency (%)
130110 1
11.1%
130101 1
11.1%
130845 1
11.1%
130-723 1
11.1%
130805 1
11.1%
130827 1
11.1%
130817 1
11.1%
130876 1
11.1%
130-842 1
11.1%
2024-05-11T01:48:23.241963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 14
25.0%
0 12
21.4%
3 10
17.9%
8 6
10.7%
7 4
 
7.1%
2 3
 
5.4%
4 2
 
3.6%
5 2
 
3.6%
- 2
 
3.6%
6 1
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 54
96.4%
Dash Punctuation 2
 
3.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 14
25.9%
0 12
22.2%
3 10
18.5%
8 6
11.1%
7 4
 
7.4%
2 3
 
5.6%
4 2
 
3.7%
5 2
 
3.7%
6 1
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 56
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 14
25.0%
0 12
21.4%
3 10
17.9%
8 6
10.7%
7 4
 
7.1%
2 3
 
5.4%
4 2
 
3.6%
5 2
 
3.6%
- 2
 
3.6%
6 1
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 56
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 14
25.0%
0 12
21.4%
3 10
17.9%
8 6
10.7%
7 4
 
7.1%
2 3
 
5.4%
4 2
 
3.6%
5 2
 
3.6%
- 2
 
3.6%
6 1
 
1.8%

지번주소
Text

Distinct80
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Memory size852.0 B
2024-05-11T01:48:23.829355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length36
Mean length27.322222
Min length19

Characters and Unicode

Total characters2459
Distinct characters166
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

Unique71 ?
Unique (%)78.9%

Sample

1st row서울특별시 동대문구 신설동 109-13번지 대성스카이렉스1제401호 1동 401호
2nd row서울특별시 동대문구 장안동 431-3번지 케이디엠빌딩9층
3rd row서울특별시 동대문구 전농동 103-340 씨티빌라트
4th row서울특별시 동대문구 장안동 433-3번지 한창빌딩 3F
5th row서울특별시 동대문구 용두동 787 동의보감타워 1227호
ValueCountFrequency (%)
서울특별시 90
19.1%
동대문구 90
19.1%
장안동 22
 
4.7%
용두동 21
 
4.5%
신설동 16
 
3.4%
전농동 9
 
1.9%
휘경동 7
 
1.5%
제기동 5
 
1.1%
답십리동 5
 
1.1%
이문동 4
 
0.9%
Other values (161) 201
42.8%
2024-05-11T01:48:24.917215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
389
 
15.8%
동 200
 
8.1%
문 97
 
3.9%
대 97
 
3.9%
시 94
 
3.8%
서 91
 
3.7%
울 91
 
3.7%
별 90
 
3.7%
특 90
 
3.7%
구 90
 
3.7%
Other values (156) 1130
46.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1487
60.5%
Decimal Number 486
 
19.8%
Space Separator 389
 
15.8%
Dash Punctuation 79
 
3.2%
Uppercase Letter 15
 
0.6%
Other Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 200
 
13.4%
문 97
 
6.5%
대 97
 
6.5%
시 94
 
6.3%
서 91
 
6.1%
울 91
 
6.1%
별 90
 
6.1%
특 90
 
6.1%
구 90
 
6.1%
호 30
 
2.0%
Other values (130) 517
34.8%
Uppercase Letter
ValueCountFrequency (%)
A 2
13.3%
Y 2
13.3%
C 2
13.3%
B 2
13.3%
S 1
6.7%
J 1
6.7%
X 1
6.7%
D 1
6.7%
U 1
6.7%
O 1
6.7%
Decimal Number
ValueCountFrequency (%)
1 87
17.9%
3 61
12.6%
0 58
11.9%
4 56
11.5%
2 52
10.7%
7 41
8.4%
9 35
7.2%
5 35
7.2%
6 34
 
7.0%
8 27
 
5.6%
Space Separator
ValueCountFrequency (%)
389
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 79
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1487
60.5%
Common 957
38.9%
Latin 15
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 200
 
13.4%
문 97
 
6.5%
대 97
 
6.5%
시 94
 
6.3%
서 91
 
6.1%
울 91
 
6.1%
별 90
 
6.1%
특 90
 
6.1%
구 90
 
6.1%
호 30
 
2.0%
Other values (130) 517
34.8%
Common
ValueCountFrequency (%)
389
40.6%
1 87
 
9.1%
- 79
 
8.3%
3 61
 
6.4%
0 58
 
6.1%
4 56
 
5.9%
2 52
 
5.4%
7 41
 
4.3%
9 35
 
3.7%
5 35
 
3.7%
Other values (5) 64
 
6.7%
Latin
ValueCountFrequency (%)
A 2
13.3%
Y 2
13.3%
C 2
13.3%
B 2
13.3%
S 1
6.7%
J 1
6.7%
X 1
6.7%
D 1
6.7%
U 1
6.7%
O 1
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1487
60.5%
ASCII 972
39.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
389
40.0%
1 87
 
9.0%
- 79
 
8.1%
3 61
 
6.3%
0 58
 
6.0%
4 56
 
5.8%
2 52
 
5.3%
7 41
 
4.2%
9 35
 
3.6%
5 35
 
3.6%
Other values (16) 79
 
8.1%
Hangul
ValueCountFrequency (%)
동 200
 
13.4%
문 97
 
6.5%
대 97
 
6.5%
시 94
 
6.3%
서 91
 
6.1%
울 91
 
6.1%
별 90
 
6.1%
특 90
 
6.1%
구 90
 
6.1%
호 30
 
2.0%
Other values (130) 517
34.8%

도로명주소
Text

UNIQUE 

Distinct90
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size852.0 B
2024-05-11T01:48:25.510858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length45
Mean length36.2
Min length23

Characters and Unicode

Total characters3258
Distinct characters182
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

Unique90 ?
Unique (%)100.0%

Sample

1st row서울특별시 동대문구 청계천로 417, 1동 401호 (신설동,대성스카이렉스1제401호)
2nd row서울특별시 동대문구 장한로 25 (장안동,케이디엠빌딩9층)
3rd row서울특별시 동대문구 전농로 222, 2층 206호 (전농동, 씨티빌라트)
4th row서울특별시 동대문구 장한로 24, 3층 (장안동, 한창빌딩)
5th row서울특별시 동대문구 왕산로 128, 1227호 (용두동, 동의보감타워)
ValueCountFrequency (%)
서울특별시 90
 
14.4%
동대문구 90
 
14.4%
용두동 21
 
3.4%
왕산로 20
 
3.2%
장안동 20
 
3.2%
신설동 15
 
2.4%
전농동 9
 
1.4%
2층 7
 
1.1%
휘경동 7
 
1.1%
3층 6
 
1.0%
Other values (227) 340
54.4%
2024-05-11T01:48:26.571319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
536
 
16.5%
동 205
 
6.3%
, 111
 
3.4%
대 109
 
3.3%
1 108
 
3.3%
2 106
 
3.3%
문 103
 
3.2%
로 94
 
2.9%
시 93
 
2.9%
서 91
 
2.8%
Other values (172) 1702
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1876
57.6%
Space Separator 536
 
16.5%
Decimal Number 530
 
16.3%
Other Punctuation 111
 
3.4%
Open Punctuation 91
 
2.8%
Close Punctuation 91
 
2.8%
Uppercase Letter 14
 
0.4%
Dash Punctuation 9
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 205
 
10.9%
대 109
 
5.8%
문 103
 
5.5%
로 94
 
5.0%
시 93
 
5.0%
서 91
 
4.9%
구 90
 
4.8%
울 90
 
4.8%
별 90
 
4.8%
특 90
 
4.8%
Other values (147) 821
43.8%
Decimal Number
ValueCountFrequency (%)
1 108
20.4%
2 106
20.0%
0 72
13.6%
3 62
11.7%
5 44
8.3%
7 36
 
6.8%
4 34
 
6.4%
6 25
 
4.7%
8 23
 
4.3%
9 20
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
B 3
21.4%
C 2
14.3%
Y 2
14.3%
J 1
 
7.1%
A 1
 
7.1%
X 1
 
7.1%
D 1
 
7.1%
U 1
 
7.1%
O 1
 
7.1%
S 1
 
7.1%
Space Separator
ValueCountFrequency (%)
536
100.0%
Other Punctuation
ValueCountFrequency (%)
, 111
100.0%
Open Punctuation
ValueCountFrequency (%)
( 91
100.0%
Close Punctuation
ValueCountFrequency (%)
) 91
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1876
57.6%
Common 1368
42.0%
Latin 14
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 205
 
10.9%
대 109
 
5.8%
문 103
 
5.5%
로 94
 
5.0%
시 93
 
5.0%
서 91
 
4.9%
구 90
 
4.8%
울 90
 
4.8%
별 90
 
4.8%
특 90
 
4.8%
Other values (147) 821
43.8%
Common
ValueCountFrequency (%)
536
39.2%
, 111
 
8.1%
1 108
 
7.9%
2 106
 
7.7%
( 91
 
6.7%
) 91
 
6.7%
0 72
 
5.3%
3 62
 
4.5%
5 44
 
3.2%
7 36
 
2.6%
Other values (5) 111
 
8.1%
Latin
ValueCountFrequency (%)
B 3
21.4%
C 2
14.3%
Y 2
14.3%
J 1
 
7.1%
A 1
 
7.1%
X 1
 
7.1%
D 1
 
7.1%
U 1
 
7.1%
O 1
 
7.1%
S 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1876
57.6%
ASCII 1382
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
536
38.8%
, 111
 
8.0%
1 108
 
7.8%
2 106
 
7.7%
( 91
 
6.6%
) 91
 
6.6%
0 72
 
5.2%
3 62
 
4.5%
5 44
 
3.2%
7 36
 
2.6%
Other values (15) 125
 
9.0%
Hangul
ValueCountFrequency (%)
동 205
 
10.9%
대 109
 
5.8%
문 103
 
5.5%
로 94
 
5.0%
시 93
 
5.0%
서 91
 
4.9%
구 90
 
4.8%
울 90
 
4.8%
별 90
 
4.8%
특 90
 
4.8%
Other values (147) 821
43.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct45
Distinct (%)51.1%
Missing2
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean5476.3523
Minimum2409
Maximum130827
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size942.0 B
2024-05-11T01:48:27.009431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2409
5-th percentile2441.1
Q12553.75
median2578
Q32603.25
95-th percentile2644
Maximum130827
Range128418
Interquartile range (IQR)49.5

Descriptive statistics

Standard deviation19224.671
Coefficient of variation (CV)3.5104884
Kurtosis41.405274
Mean5476.3523
Median Absolute Deviation (MAD)25
Skewness6.5164449
Sum481919
Variance3.6958798 × 108
MonotonicityNot monotonic
2024-05-11T01:48:27.577815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
2624 8
 
8.9%
2586 7
 
7.8%
2566 6
 
6.7%
2585 4
 
4.4%
2560 4
 
4.4%
2559 4
 
4.4%
2580 4
 
4.4%
2445 3
 
3.3%
2577 3
 
3.3%
2578 2
 
2.2%
Other values (35) 43
47.8%
ValueCountFrequency (%)
2409 1
 
1.1%
2435 1
 
1.1%
2436 1
 
1.1%
2437 1
 
1.1%
2439 1
 
1.1%
2445 3
3.3%
2450 2
2.2%
2453 1
 
1.1%
2466 1
 
1.1%
2477 1
 
1.1%
ValueCountFrequency (%)
130827 1
1.1%
130817 1
1.1%
2645 2
2.2%
2644 2
2.2%
2639 1
1.1%
2637 1
1.1%
2636 1
1.1%
2634 1
1.1%
2633 1
1.1%
2631 1
1.1%

사업장명
Text

Distinct89
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size852.0 B
2024-05-11T01:48:28.229048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length19
Mean length9.1333333
Min length2

Characters and Unicode

Total characters822
Distinct characters177
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

Unique88 ?
Unique (%)97.8%

Sample

1st row(주)이엘아이비에스
2nd row(주)케이디엠아이앤씨
3rd row(주)굿필투어
4th row(주)삼진위버
5th row(주)제니스트래블
ValueCountFrequency (%)
주식회사 35
25.9%
tour 3
 
2.2%
코리아트래블스토어 2
 
1.5%
korea 2
 
1.5%
비와이컨퍼니 2
 
1.5%
믿음투어 1
 
0.7%
주)대민항공여행사 1
 
0.7%
여행마스터 1
 
0.7%
주)동백여행사 1
 
0.7%
더크리에이터스 1
 
0.7%
Other values (86) 86
63.7%
2024-05-11T01:48:29.625581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 68
 
8.3%
사 46
 
5.6%
45
 
5.5%
( 36
 
4.4%
회 36
 
4.4%
) 36
 
4.4%
식 35
 
4.3%
이 28
 
3.4%
어 26
 
3.2%
투 24
 
2.9%
Other values (167) 442
53.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 655
79.7%
Space Separator 45
 
5.5%
Uppercase Letter 38
 
4.6%
Open Punctuation 36
 
4.4%
Close Punctuation 36
 
4.4%
Lowercase Letter 12
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 68
 
10.4%
사 46
 
7.0%
회 36
 
5.5%
식 35
 
5.3%
이 28
 
4.3%
어 26
 
4.0%
투 24
 
3.7%
스 22
 
3.4%
에 14
 
2.1%
트 13
 
2.0%
Other values (145) 343
52.4%
Uppercase Letter
ValueCountFrequency (%)
O 5
13.2%
U 5
13.2%
R 5
13.2%
T 4
10.5%
A 4
10.5%
Y 4
10.5%
K 3
7.9%
D 3
7.9%
E 2
 
5.3%
J 2
 
5.3%
Lowercase Letter
ValueCountFrequency (%)
l 4
33.3%
e 2
16.7%
o 1
 
8.3%
w 1
 
8.3%
a 1
 
8.3%
r 1
 
8.3%
b 1
 
8.3%
m 1
 
8.3%
Space Separator
ValueCountFrequency (%)
45
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 655
79.7%
Common 117
 
14.2%
Latin 50
 
6.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 68
 
10.4%
사 46
 
7.0%
회 36
 
5.5%
식 35
 
5.3%
이 28
 
4.3%
어 26
 
4.0%
투 24
 
3.7%
스 22
 
3.4%
에 14
 
2.1%
트 13
 
2.0%
Other values (145) 343
52.4%
Latin
ValueCountFrequency (%)
O 5
10.0%
U 5
10.0%
R 5
10.0%
l 4
 
8.0%
T 4
 
8.0%
A 4
 
8.0%
Y 4
 
8.0%
K 3
 
6.0%
D 3
 
6.0%
e 2
 
4.0%
Other values (9) 11
22.0%
Common
ValueCountFrequency (%)
45
38.5%
( 36
30.8%
) 36
30.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 655
79.7%
ASCII 167
 
20.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 68
 
10.4%
사 46
 
7.0%
회 36
 
5.5%
식 35
 
5.3%
이 28
 
4.3%
어 26
 
4.0%
투 24
 
3.7%
스 22
 
3.4%
에 14
 
2.1%
트 13
 
2.0%
Other values (145) 343
52.4%
ASCII
ValueCountFrequency (%)
45
26.9%
( 36
21.6%
) 36
21.6%
O 5
 
3.0%
U 5
 
3.0%
R 5
 
3.0%
l 4
 
2.4%
T 4
 
2.4%
A 4
 
2.4%
Y 4
 
2.4%
Other values (12) 19
11.4%

최종수정일자
Date

UNIQUE 

Distinct90
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size852.0 B
Minimum2009-10-13 16:17:59
Maximum2024-05-01 17:41:41
2024-05-11T01:48:30.263749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:48:30.931753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size852.0 B
U
77 
I
13 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 77
85.6%
I 13
 
14.4%

Length

2024-05-11T01:48:31.518036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:48:31.969220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 77
85.6%
i 13
 
14.4%

데이터갱신일자
Date

Distinct65
Distinct (%)72.2%
Missing0
Missing (%)0.0%
Memory size852.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:03:00
2024-05-11T01:48:32.534998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:48:33.240109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing90
Missing (%)100.0%
Memory size942.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct71
Distinct (%)79.8%
Missing1
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean204084.27
Minimum202022.65
Maximum206325.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size942.0 B
2024-05-11T01:48:33.970501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum202022.65
5-th percentile202069.41
Q1202832.37
median204089.82
Q3205450.92
95-th percentile206097.76
Maximum206325.35
Range4302.6994
Interquartile range (IQR)2618.5473

Descriptive statistics

Standard deviation1417.0117
Coefficient of variation (CV)0.0069432674
Kurtosis-1.452885
Mean204084.27
Median Absolute Deviation (MAD)1346.0563
Skewness0.014931487
Sum18163500
Variance2007922
MonotonicityNot monotonic
2024-05-11T01:48:34.500257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
206101.9138443 3
 
3.3%
203996.013917877 3
 
3.3%
203258.377206168 3
 
3.3%
203624.129825056 2
 
2.2%
202061.343549852 2
 
2.2%
204089.817117361 2
 
2.2%
202238.673011556 2
 
2.2%
202165.330401979 2
 
2.2%
205802.937737065 2
 
2.2%
205114.830839822 2
 
2.2%
Other values (61) 66
73.3%
ValueCountFrequency (%)
202022.650035503 1
1.1%
202023.921749857 1
1.1%
202042.817335648 1
1.1%
202061.343549852 2
2.2%
202081.516316998 1
1.1%
202165.330401979 2
2.2%
202181.999386105 1
1.1%
202209.996470069 1
1.1%
202238.673011556 2
2.2%
202257.985695221 1
1.1%
ValueCountFrequency (%)
206325.349431713 1
 
1.1%
206141.179571336 1
 
1.1%
206101.9138443 3
3.3%
206091.537162593 1
 
1.1%
206090.434292925 1
 
1.1%
206080.150348821 1
 
1.1%
206068.486890586 2
2.2%
205904.610819986 1
 
1.1%
205802.937737065 2
2.2%
205793.78981211 1
 
1.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct71
Distinct (%)79.8%
Missing1
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean452790.58
Minimum451059.35
Maximum455714.48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size942.0 B
2024-05-11T01:48:35.065668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum451059.35
5-th percentile451209.81
Q1452155.69
median452831.04
Q3453107.16
95-th percentile454471.61
Maximum455714.48
Range4655.1334
Interquartile range (IQR)951.47357

Descriptive statistics

Standard deviation984.3735
Coefficient of variation (CV)0.002174015
Kurtosis0.81178809
Mean452790.58
Median Absolute Deviation (MAD)616.27861
Skewness0.69477817
Sum40298362
Variance968991.19
MonotonicityNot monotonic
2024-05-11T01:48:35.770725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
452155.691148899 3
 
3.3%
453058.665828669 3
 
3.3%
452834.064124525 3
 
3.3%
452935.837397665 2
 
2.2%
452214.757092696 2
 
2.2%
453314.135663101 2
 
2.2%
452725.226422405 2
 
2.2%
452831.03570626 2
 
2.2%
451059.346901649 2
 
2.2%
455013.644655621 2
 
2.2%
Other values (61) 66
73.3%
ValueCountFrequency (%)
451059.346901649 2
2.2%
451153.120269048 1
1.1%
451167.624821007 1
1.1%
451191.34653897 1
1.1%
451237.510868551 1
1.1%
451248.195444631 1
1.1%
451284.080255576 1
1.1%
451508.878103131 1
1.1%
451604.015247392 1
1.1%
451672.025431146 1
1.1%
ValueCountFrequency (%)
455714.48034047 1
1.1%
455659.587050802 1
1.1%
455013.644655621 2
2.2%
454514.916713766 1
1.1%
454406.655078623 1
1.1%
454341.792828891 1
1.1%
454273.621685626 1
1.1%
454258.218194207 1
1.1%
454212.542182175 1
1.1%
454202.766742752 1
1.1%

문화체육업종명
Categorical

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size852.0 B
<NA>
75 
종합여행업
15 

Length

Max length5
Median length4
Mean length4.1666667
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 75
83.3%
종합여행업 15
 
16.7%

Length

2024-05-11T01:48:36.350982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:48:36.729943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 75
83.3%
종합여행업 15
 
16.7%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing90
Missing (%)100.0%
Memory size942.0 B

지역구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing89
Missing (%)98.9%
Memory size852.0 B
2024-05-11T01:48:37.050949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters6
Distinct characters6
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

Unique1 ?
Unique (%)100.0%

Sample

1st row근린상업지역
ValueCountFrequency (%)
근린상업지역 1
100.0%
2024-05-11T01:48:37.764602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
상 1
16.7%
업 1
16.7%
지 1
16.7%
역 1
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
상 1
16.7%
업 1
16.7%
지 1
16.7%
역 1
16.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
상 1
16.7%
업 1
16.7%
지 1
16.7%
역 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
상 1
16.7%
업 1
16.7%
지 1
16.7%
역 1
16.7%

총층수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing90
Missing (%)100.0%
Memory size942.0 B

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing90
Missing (%)100.0%
Memory size942.0 B

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing90
Missing (%)100.0%
Memory size942.0 B

보험기관명
Categorical

IMBALANCE 

Distinct6
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size852.0 B
<NA>
79 
서울보증보험
 
6
서울보증보험주식회사
 
2
서울보증보험주 잠실지점
 
1
여행공제회
 
1

Length

Max length12
Median length4
Mean length4.4222222
Min length4

Unique

Unique3 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 79
87.8%
서울보증보험 6
 
6.7%
서울보증보험주식회사 2
 
2.2%
서울보증보험주 잠실지점 1
 
1.1%
여행공제회 1
 
1.1%
공제회(5천만원) 1
 
1.1%

Length

2024-05-11T01:48:38.281395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:48:38.710796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 79
86.8%
서울보증보험 6
 
6.6%
서울보증보험주식회사 2
 
2.2%
서울보증보험주 1
 
1.1%
잠실지점 1
 
1.1%
여행공제회 1
 
1.1%
공제회(5천만원 1
 
1.1%

건물용도명
Text

MISSING 

Distinct2
Distinct (%)50.0%
Missing86
Missing (%)95.6%
Memory size852.0 B
2024-05-11T01:48:39.166232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.25
Min length3

Characters and Unicode

Total characters21
Distinct characters9
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

Unique1 ?
Unique (%)25.0%

Sample

1st row사무실
2nd row근린생활시설
3rd row근린생활시설
4th row근린생활시설
ValueCountFrequency (%)
근린생활시설 3
75.0%
사무실 1
 
25.0%
2024-05-11T01:48:40.011608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
근 3
14.3%
린 3
14.3%
생 3
14.3%
활 3
14.3%
시 3
14.3%
설 3
14.3%
사 1
 
4.8%
무 1
 
4.8%
실 1
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
근 3
14.3%
린 3
14.3%
생 3
14.3%
활 3
14.3%
시 3
14.3%
설 3
14.3%
사 1
 
4.8%
무 1
 
4.8%
실 1
 
4.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
근 3
14.3%
린 3
14.3%
생 3
14.3%
활 3
14.3%
시 3
14.3%
설 3
14.3%
사 1
 
4.8%
무 1
 
4.8%
실 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
근 3
14.3%
린 3
14.3%
생 3
14.3%
활 3
14.3%
시 3
14.3%
설 3
14.3%
사 1
 
4.8%
무 1
 
4.8%
실 1
 
4.8%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size852.0 B
<NA>
89 
9
 
1

Length

Max length4
Median length4
Mean length3.9666667
Min length1

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 89
98.9%
9 1
 
1.1%

Length

2024-05-11T01:48:40.511073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:48:40.930590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 89
98.9%
9 1
 
1.1%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size852.0 B
<NA>
89 
2
 
1

Length

Max length4
Median length4
Mean length3.9666667
Min length1

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 89
98.9%
2 1
 
1.1%

Length

2024-05-11T01:48:41.336690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:48:41.695912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 89
98.9%
2 1
 
1.1%

객실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing90
Missing (%)100.0%
Memory size942.0 B

건축연면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing90
Missing (%)100.0%
Memory size942.0 B

영문상호명
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing85
Missing (%)94.4%
Memory size852.0 B
2024-05-11T01:48:42.170217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length22
Mean length22.4
Min length19

Characters and Unicode

Total characters112
Distinct characters30
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st rowW.S INTERNATIONAL TOUR
2nd rowACE WORLD TRAVEL Co., Ltd.
3rd rowDAE JONG MANAGEMENT
4th rowTianya Tour Co., Ltd.
5th rowMYUNG JI TRAVEL CO., LTD
ValueCountFrequency (%)
co 3
15.0%
ltd 3
15.0%
tour 2
10.0%
travel 2
10.0%
w.s 1
 
5.0%
international 1
 
5.0%
ace 1
 
5.0%
world 1
 
5.0%
dae 1
 
5.0%
jong 1
 
5.0%
Other values (4) 4
20.0%
2024-05-11T01:48:43.205770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15
 
13.4%
T 9
 
8.0%
A 8
 
7.1%
N 7
 
6.2%
E 7
 
6.2%
L 7
 
6.2%
. 6
 
5.4%
R 5
 
4.5%
O 5
 
4.5%
C 4
 
3.6%
Other values (20) 39
34.8%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 74
66.1%
Space Separator 15
 
13.4%
Lowercase Letter 14
 
12.5%
Other Punctuation 9
 
8.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
T 9
12.2%
A 8
10.8%
N 7
9.5%
E 7
9.5%
L 7
9.5%
R 5
 
6.8%
O 5
 
6.8%
C 4
 
5.4%
D 3
 
4.1%
G 3
 
4.1%
Other values (8) 16
21.6%
Lowercase Letter
ValueCountFrequency (%)
o 3
21.4%
a 2
14.3%
d 2
14.3%
t 2
14.3%
i 1
 
7.1%
n 1
 
7.1%
y 1
 
7.1%
u 1
 
7.1%
r 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
. 6
66.7%
, 3
33.3%
Space Separator
ValueCountFrequency (%)
15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 88
78.6%
Common 24
 
21.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
T 9
 
10.2%
A 8
 
9.1%
N 7
 
8.0%
E 7
 
8.0%
L 7
 
8.0%
R 5
 
5.7%
O 5
 
5.7%
C 4
 
4.5%
o 3
 
3.4%
D 3
 
3.4%
Other values (17) 30
34.1%
Common
ValueCountFrequency (%)
15
62.5%
. 6
 
25.0%
, 3
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 112
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15
 
13.4%
T 9
 
8.0%
A 8
 
7.1%
N 7
 
6.2%
E 7
 
6.2%
L 7
 
6.2%
. 6
 
5.4%
R 5
 
4.5%
O 5
 
4.5%
C 4
 
3.6%
Other values (20) 39
34.8%

영문상호주소
Text

MISSING 

Distinct3
Distinct (%)60.0%
Missing85
Missing (%)94.4%
Memory size852.0 B
2024-05-11T01:48:43.682555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters115
Distinct characters24
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 (%)40.0%

Sample

1st rowGENERAL TRAVEL BUSINESS
2nd rowGENERAL TRAVEL BUSINESS
3rd rowGENERAL TRAVEL BUSINESS
4th rowGeneral travel business
5th rowGANERAL TRAVEL BUSINESS
ValueCountFrequency (%)
travel 5
33.3%
business 5
33.3%
general 4
26.7%
ganeral 1
 
6.7%
2024-05-11T01:48:44.787920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
E 15
13.0%
S 12
 
10.4%
10
 
8.7%
A 9
 
7.8%
N 8
 
7.0%
R 8
 
7.0%
L 8
 
7.0%
G 5
 
4.3%
U 4
 
3.5%
e 4
 
3.5%
Other values (14) 32
27.8%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 85
73.9%
Lowercase Letter 20
 
17.4%
Space Separator 10
 
8.7%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 15
17.6%
S 12
14.1%
A 9
10.6%
N 8
9.4%
R 8
9.4%
L 8
9.4%
G 5
 
5.9%
U 4
 
4.7%
I 4
 
4.7%
B 4
 
4.7%
Other values (2) 8
9.4%
Lowercase Letter
ValueCountFrequency (%)
e 4
20.0%
s 3
15.0%
n 2
10.0%
r 2
10.0%
a 2
10.0%
l 2
10.0%
t 1
 
5.0%
v 1
 
5.0%
b 1
 
5.0%
u 1
 
5.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 105
91.3%
Common 10
 
8.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 15
14.3%
S 12
11.4%
A 9
 
8.6%
N 8
 
7.6%
R 8
 
7.6%
L 8
 
7.6%
G 5
 
4.8%
U 4
 
3.8%
e 4
 
3.8%
I 4
 
3.8%
Other values (13) 28
26.7%
Common
ValueCountFrequency (%)
10
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 115
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
E 15
13.0%
S 12
 
10.4%
10
 
8.7%
A 9
 
7.8%
N 8
 
7.0%
R 8
 
7.0%
L 8
 
7.0%
G 5
 
4.3%
U 4
 
3.5%
e 4
 
3.5%
Other values (14) 32
27.8%

선박총톤수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing90
Missing (%)100.0%
Memory size942.0 B

선박척수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing90
Missing (%)100.0%
Memory size942.0 B

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing90
Missing (%)100.0%
Memory size942.0 B

무대면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing90
Missing (%)100.0%
Memory size942.0 B

좌석수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing90
Missing (%)100.0%
Memory size942.0 B

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing90
Missing (%)100.0%
Memory size942.0 B

회의실별동시수용인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing90
Missing (%)100.0%
Memory size942.0 B

시설면적
Categorical

IMBALANCE 

Distinct5
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size852.0 B
<NA>
86 
8.28
 
1
30.47
 
1
26.0
 
1
98.72
 
1

Length

Max length5
Median length4
Mean length4.0222222
Min length4

Unique

Unique4 ?
Unique (%)4.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 86
95.6%
8.28 1
 
1.1%
30.47 1
 
1.1%
26.0 1
 
1.1%
98.72 1
 
1.1%

Length

2024-05-11T01:48:45.339473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:48:45.700308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 86
95.6%
8.28 1
 
1.1%
30.47 1
 
1.1%
26.0 1
 
1.1%
98.72 1
 
1.1%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing90
Missing (%)100.0%
Memory size942.0 B

놀이시설수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing90
Missing (%)100.0%
Memory size942.0 B

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing90
Missing (%)100.0%
Memory size942.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing90
Missing (%)100.0%
Memory size942.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing90
Missing (%)100.0%
Memory size942.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing90
Missing (%)100.0%
Memory size942.0 B

기획여행보험시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size852.0 B
<NA>
89 
20150912
 
1

Length

Max length8
Median length4
Mean length4.0444444
Min length4

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 89
98.9%
20150912 1
 
1.1%

Length

2024-05-11T01:48:46.467055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:48:46.981471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 89
98.9%
20150912 1
 
1.1%

기획여행보험종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size852.0 B
<NA>
89 
20160911
 
1

Length

Max length8
Median length4
Mean length4.0444444
Min length4

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 89
98.9%
20160911 1
 
1.1%

Length

2024-05-11T01:48:47.454296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:48:47.843244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 89
98.9%
20160911 1
 
1.1%

자본금
Categorical

IMBALANCE 

Distinct6
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size852.0 B
<NA>
77 
200000000
 
6
100000000
 
3
350000000
 
2
3000000000
 
1

Length

Max length10
Median length4
Mean length4.7333333
Min length4

Unique

Unique2 ?
Unique (%)2.2%

Sample

1st row350000000
2nd row3000000000
3rd row<NA>
4th row350000000
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 77
85.6%
200000000 6
 
6.7%
100000000 3
 
3.3%
350000000 2
 
2.2%
3000000000 1
 
1.1%
300000000 1
 
1.1%

Length

2024-05-11T01:48:48.550850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:48:48.951030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 77
85.6%
200000000 6
 
6.7%
100000000 3
 
3.3%
350000000 2
 
2.2%
3000000000 1
 
1.1%
300000000 1
 
1.1%

보험시작일자
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing78
Missing (%)86.7%
Infinite0
Infinite (%)0.0%
Mean20151364
Minimum20090702
Maximum20190110
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size942.0 B
2024-05-11T01:48:49.547259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090702
5-th percentile20112386
Q120147731
median20150916
Q320162990
95-th percentile20179499
Maximum20190110
Range99408
Interquartile range (IQR)15259.5

Descriptive statistics

Standard deviation24623.84
Coefficient of variation (CV)0.0012219441
Kurtosis2.9573963
Mean20151364
Median Absolute Deviation (MAD)10045.5
Skewness-1.1685502
Sum2.4181637 × 108
Variance6.0633347 × 108
MonotonicityNot monotonic
2024-05-11T01:48:50.040250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
20090702 1
 
1.1%
20130127 1
 
1.1%
20150902 1
 
1.1%
20150909 1
 
1.1%
20160216 1
 
1.1%
20150201 1
 
1.1%
20150923 1
 
1.1%
20170817 1
 
1.1%
20170728 1
 
1.1%
20140320 1
 
1.1%
Other values (2) 2
 
2.2%
(Missing) 78
86.7%
ValueCountFrequency (%)
20090702 1
1.1%
20130127 1
1.1%
20140320 1
1.1%
20150201 1
1.1%
20150902 1
1.1%
20150909 1
1.1%
20150923 1
1.1%
20160216 1
1.1%
20160411 1
1.1%
20170728 1
1.1%
ValueCountFrequency (%)
20190110 1
1.1%
20170817 1
1.1%
20170728 1
1.1%
20160411 1
1.1%
20160216 1
1.1%
20150923 1
1.1%
20150909 1
1.1%
20150902 1
1.1%
20150201 1
1.1%
20140320 1
1.1%

보험종료일자
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing78
Missing (%)86.7%
Infinite0
Infinite (%)0.0%
Mean20161357
Minimum20100702
Maximum20200109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size942.0 B
2024-05-11T01:48:50.449436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20100702
5-th percentile20122385
Q120157678
median20160915
Q320172990
95-th percentile20189498
Maximum20200109
Range99407
Interquartile range (IQR)15311.75

Descriptive statistics

Standard deviation24623.913
Coefficient of variation (CV)0.001221342
Kurtosis2.9554224
Mean20161357
Median Absolute Deviation (MAD)10045.5
Skewness-1.1676527
Sum2.4193629 × 108
Variance6.0633707 × 108
MonotonicityNot monotonic
2024-05-11T01:48:50.971133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
20100702 1
 
1.1%
20140126 1
 
1.1%
20160901 1
 
1.1%
20160908 1
 
1.1%
20170215 1
 
1.1%
20160131 1
 
1.1%
20160922 1
 
1.1%
20180816 1
 
1.1%
20180727 1
 
1.1%
20150320 1
 
1.1%
Other values (2) 2
 
2.2%
(Missing) 78
86.7%
ValueCountFrequency (%)
20100702 1
1.1%
20140126 1
1.1%
20150320 1
1.1%
20160131 1
1.1%
20160901 1
1.1%
20160908 1
1.1%
20160922 1
1.1%
20170215 1
1.1%
20170411 1
1.1%
20180727 1
1.1%
ValueCountFrequency (%)
20200109 1
1.1%
20180816 1
1.1%
20180727 1
1.1%
20170411 1
1.1%
20170215 1
1.1%
20160922 1
1.1%
20160908 1
1.1%
20160901 1
1.1%
20160131 1
1.1%
20150320 1
1.1%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing90
Missing (%)100.0%
Memory size942.0 B

시설규모
Categorical

IMBALANCE 

Distinct5
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size852.0 B
<NA>
86 
8
 
1
30
 
1
26
 
1
99
 
1

Length

Max length4
Median length4
Mean length3.9
Min length1

Unique

Unique4 ?
Unique (%)4.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 86
95.6%
8 1
 
1.1%
30 1
 
1.1%
26 1
 
1.1%
99 1
 
1.1%

Length

2024-05-11T01:48:51.659514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:48:52.083163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 86
95.6%
8 1
 
1.1%
30 1
 
1.1%
26 1
 
1.1%
99 1
 
1.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03050000CDFI226004200800000120080624<NA>3폐업3폐업20101230<NA><NA><NA>2253-1900<NA>130110서울특별시 동대문구 신설동 109-13번지 대성스카이렉스1제401호 1동 401호서울특별시 동대문구 청계천로 417, 1동 401호 (신설동,대성스카이렉스1제401호)<NA>(주)이엘아이비에스2010-12-31 11:23:06I2018-08-31 23:59:59.0<NA>202042.817336452190.100422종합여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3500000002009070220100702<NA><NA>
13050000CDFI226004200800000220080723<NA>3폐업3폐업20091013<NA><NA><NA>567-6200<NA>130101서울특별시 동대문구 장안동 431-3번지 케이디엠빌딩9층서울특별시 동대문구 장한로 25 (장안동,케이디엠빌딩9층)<NA>(주)케이디엠아이앤씨2009-10-13 16:17:59I2018-08-31 23:59:59.0<NA>205743.422815451284.080256종합여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3000000000<NA><NA><NA><NA>
23050000CDFI22600420090000012009-07-27<NA>1영업/정상13영업중<NA><NA><NA><NA>02-963-7557<NA><NA>서울특별시 동대문구 전농동 103-340 씨티빌라트서울특별시 동대문구 전농로 222, 2층 206호 (전농동, 씨티빌라트)2492(주)굿필투어2023-08-22 17:38:20U2022-12-07 22:04:00.0<NA>204664.681486453517.113806<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33050000CDFI226004201000000120100127<NA>3폐업3폐업20150903<NA><NA><NA>2213-3888<NA>130845서울특별시 동대문구 장안동 433-3번지 한창빌딩 3F서울특별시 동대문구 장한로 24, 3층 (장안동, 한창빌딩)2644(주)삼진위버2015-09-03 14:06:43I2018-08-31 23:59:59.0<NA>205782.949042451237.510869종합여행업<NA><NA><NA><NA><NA>서울보증보험주 잠실지점<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3500000002013012720140126<NA><NA>
43050000CDFI22600420120000012011-11-29<NA>1영업/정상13영업중<NA><NA><NA><NA>725-4649<NA>130-723서울특별시 동대문구 용두동 787 동의보감타워 1227호서울특별시 동대문구 왕산로 128, 1227호 (용두동, 동의보감타워)2566(주)제니스트래블2023-07-17 15:37:07U2022-12-06 23:09:00.0<NA>203258.377206452834.064125<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53050000CDFI22600420130000012013-08-14<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2249-7308<NA><NA>서울특별시 동대문구 장안동 384-6 장안동 근린생활시설서울특별시 동대문구 장한로23길 21, 303호 (장안동)2624주식회사 케이코오롱투어2023-02-27 09:58:52U2022-12-03 00:01:00.0<NA>206068.486891452110.84528<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63050000CDFI226004201300000220130827<NA>3폐업3폐업20160218<NA><NA><NA><NA><NA>130805서울특별시 동대문구 답십리동 530-5번지 삼희상가 1동 138호서울특별시 동대문구 고미술로 11, 1동 138호 (답십리동, 삼희상가)2603바이두 여행사2016-02-19 17:31:15I2018-08-31 23:59:59.0<NA>204388.559826451969.847288종합여행업<NA><NA><NA><NA><NA>서울보증보험사무실92<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>8.28<NA><NA><NA><NA><NA><NA>20150912201609112000000002015090220160901<NA>8
73050000CDFI22600420130000062013-11-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 용두동 100-5 동대문 베네스트서울특별시 동대문구 왕산로 92, 동대문 베네스트 204호 (용두동)2585주식회사 루이안2023-07-13 17:55:34U2022-12-06 23:05:00.0<NA>202897.628746452834.682254<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83050000CDFI226004201300000720131216<NA>3폐업3폐업20191218<NA><NA><NA>953-9093<NA><NA>서울특별시 동대문구 용두동 100-1번지 랜드마크타워 801호서울특별시 동대문구 천호대로25길 81, 801호 (용두동, 랜드마크타워1)2585주식회사 에이지투어2019-12-18 17:33:18U2019-12-20 02:40:00.0<NA>202929.480858452835.105671종합여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>30.47<NA><NA><NA><NA><NA><NA><NA><NA>200000000<NA><NA><NA>30
93050000CDFI226004201300000920050302<NA>3폐업3폐업20170228<NA><NA><NA><NA><NA>130827서울특별시 동대문구 이문동 254-4번지 202호서울특별시 동대문구 이문로 192, 202호 (이문동)130827긴조에이오(주)2017-02-28 15:20:47I2018-08-31 23:59:59.0<NA>205424.9493455714.48034종합여행업<NA><NA><NA><NA><NA>서울보증보험<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2015090920160908<NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
803050000CDFI22600420230000082023-07-20<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 장안동 464-7 607호서울특별시 동대문구 천호대로 425, 607호 (장안동)2645주식회사 코리아트래블스토어2023-08-03 13:23:45U2022-12-08 00:05:00.0<NA>205802.937737451059.346902<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
813050000CDFI22600420230000092023-09-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 청량리동 50-27 5층서울특별시 동대문구 왕산로43길 10, 5층 (청량리동)2488디투어2023-11-30 18:15:57U2022-11-02 00:02:00.0<NA>204229.304048453472.576934<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
823050000CDFI22600420230000102022-12-29<NA>1영업/정상13영업중<NA><NA><NA><NA>02-736-6333<NA><NA>서울특별시 동대문구 회기동 54-51 204호서울특별시 동대문구 회기로23다길 13-4, 204호 (회기동)2453주식회사 에스앤트래블2023-11-13 18:27:51U2022-10-31 23:05:00.0<NA>204832.088144454514.916714<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
833050000CDFI22600420230000112023-11-08<NA>1영업/정상13영업중<NA><NA><NA><NA>02-959-0715<NA><NA>서울특별시 동대문구 용두동 797 청량리역 해링턴플레이스 426호서울특별시 동대문구 고산자로34길 70, 426호 (용두동)2560주식회사 투어여기로2023-11-20 17:27:25U2022-10-31 22:02:00.0<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>
843050000CDFI22600420240000012024-02-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 휘경동 112-39 201호서울특별시 동대문구 망우로 133, 201호 (휘경동)2435마스터플랜제트2024-02-27 09:30:53I2023-12-01 22:09:00.0<NA>205904.61082454406.655079<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
853050000CDFI22600420240000022022-08-19<NA>1영업/정상13영업중<NA><NA><NA><NA>02-953-1848<NA><NA>서울특별시 동대문구 전농동 620-69 1022호서울특별시 동대문구 왕산로 200, 1022호 (전농동)2559주식회사 비와이컨퍼니2024-02-29 18:33:22I2023-12-03 00:03:00.0<NA>203996.013918453058.665829<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
863050000CDFI22600420240000032024-03-06<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 휘경동 312-34 303호서울특별시 동대문구 망우로 19, 303호 (휘경동)2439진봄투어2024-03-29 09:35:19U2023-12-02 21:01:00.0<NA>204842.078381453987.915738<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
873050000CDFI22600420240000042024-04-03<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 장안동 384-1 공감대 6차 304호, 309호 내 S76호서울특별시 동대문구 답십리로68길 31, 3층 304호, 309호 내 S76호 (장안동, 공감대 6차)2624파인뷰티2024-04-17 10:50:29U2023-12-03 23:09:00.0<NA>206090.434293452102.733064<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
883050000CDFI22600420240000052017-04-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 휘경동 320-7 305호서울특별시 동대문구 이문로 30, 305호 (휘경동)2445(주)세계항공여행사2024-04-04 17:53:33I2023-12-04 00:06:00.0<NA>204909.107576454202.766743<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
893050000CDFI22600420240000062024-04-12<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 전농동 620-60 힐스테이트 청량리 더퍼스트 102동 4302호서울특별시 동대문구 답십리로1길 10, 102동 4302호 (전농동)2559이리로2024-04-15 09:55:03U2023-12-03 23:07:00.0<NA>203790.874398452924.630628<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>