Overview

Dataset statistics

Number of variables60
Number of observations77
Missing cells1886
Missing cells (%)40.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory39.2 KiB
Average record size in memory520.7 B

Variable types

Categorical22
Text9
DateTime4
Unsupported17
Numeric8

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
Author성동구
URLhttps://data.seoul.go.kr/dataList/OA-17555/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영문상호명 has constant value ""Constant
영문상호주소 has constant value ""Constant
총층수 is highly imbalanced (68.6%)Imbalance
주변환경명 is highly imbalanced (71.9%)Imbalance
건물용도명 is highly imbalanced (56.7%)Imbalance
지상층수 is highly imbalanced (63.5%)Imbalance
지하층수 is highly imbalanced (72.3%)Imbalance
객실수 is highly imbalanced (65.3%)Imbalance
건축연면적 is highly imbalanced (65.3%)Imbalance
선박총톤수 is highly imbalanced (65.3%)Imbalance
선박척수 is highly imbalanced (65.3%)Imbalance
무대면적 is highly imbalanced (65.3%)Imbalance
좌석수 is highly imbalanced (65.3%)Imbalance
회의실별동시수용인원 is highly imbalanced (65.3%)Imbalance
놀이시설수 is highly imbalanced (65.3%)Imbalance
인허가취소일자 has 77 (100.0%) missing valuesMissing
폐업일자 has 38 (49.4%) missing valuesMissing
휴업시작일자 has 77 (100.0%) missing valuesMissing
휴업종료일자 has 77 (100.0%) missing valuesMissing
재개업일자 has 77 (100.0%) missing valuesMissing
전화번호 has 46 (59.7%) missing valuesMissing
소재지면적 has 77 (100.0%) missing valuesMissing
소재지우편번호 has 46 (59.7%) missing valuesMissing
도로명우편번호 has 12 (15.6%) missing valuesMissing
업태구분명 has 77 (100.0%) missing valuesMissing
지역구분명 has 72 (93.5%) missing valuesMissing
제작취급품목내용 has 77 (100.0%) missing valuesMissing
영문상호명 has 76 (98.7%) missing valuesMissing
영문상호주소 has 76 (98.7%) missing valuesMissing
선박제원 has 77 (100.0%) missing valuesMissing
기념품종류 has 77 (100.0%) missing valuesMissing
시설면적 has 52 (67.5%) missing valuesMissing
놀이기구수내역 has 77 (100.0%) missing valuesMissing
방송시설유무 has 77 (100.0%) missing valuesMissing
발전시설유무 has 77 (100.0%) missing valuesMissing
의무실유무 has 77 (100.0%) missing valuesMissing
안내소유무 has 77 (100.0%) missing valuesMissing
기획여행보험시작일자 has 77 (100.0%) missing valuesMissing
기획여행보험종료일자 has 77 (100.0%) missing valuesMissing
자본금 has 31 (40.3%) missing valuesMissing
보험시작일자 has 38 (49.4%) missing valuesMissing
보험종료일자 has 38 (49.4%) missing valuesMissing
부대시설내역 has 77 (100.0%) missing valuesMissing
시설규모 has 52 (67.5%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
도로명주소 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 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
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박제원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기념품종류 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이기구수내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방송시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
발전시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
의무실유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
안내소유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
부대시설내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설면적 has 5 (6.5%) zerosZeros
자본금 has 1 (1.3%) zerosZeros
시설규모 has 5 (6.5%) zerosZeros

Reproduction

Analysis started2024-04-06 09:55:07.488744
Analysis finished2024-04-06 09:55:08.731082
Duration1.24 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size748.0 B
3030000
77 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3030000
2nd row3030000
3rd row3030000
4th row3030000
5th row3030000

Common Values

ValueCountFrequency (%)
3030000 77
100.0%

Length

2024-04-06T18:55:08.827814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:55:09.001780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3030000 77
100.0%

관리번호
Text

UNIQUE 

Distinct77
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size748.0 B
2024-04-06T18:55:09.341905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1540
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

Unique77 ?
Unique (%)100.0%

Sample

1st rowCDFI2260011988000001
2nd rowCDFI2260011996000002
3rd rowCDFI2260011998000001
4th rowCDFI2260011999000001
5th rowCDFI2260012002000001
ValueCountFrequency (%)
cdfi2260011988000001 1
 
1.3%
cdfi2260012015000004 1
 
1.3%
cdfi2260012018000007 1
 
1.3%
cdfi2260012018000006 1
 
1.3%
cdfi2260012018000004 1
 
1.3%
cdfi2260012018000003 1
 
1.3%
cdfi2260012018000002 1
 
1.3%
cdfi2260012018000001 1
 
1.3%
cdfi2260012017000005 1
 
1.3%
cdfi2260012017000002 1
 
1.3%
Other values (67) 67
87.0%
2024-04-06T18:55:09.865809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 630
40.9%
2 259
16.8%
1 156
 
10.1%
6 88
 
5.7%
C 77
 
5.0%
D 77
 
5.0%
F 77
 
5.0%
I 77
 
5.0%
3 24
 
1.6%
9 18
 
1.2%
Other values (4) 57
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1232
80.0%
Uppercase Letter 308
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 630
51.1%
2 259
21.0%
1 156
 
12.7%
6 88
 
7.1%
3 24
 
1.9%
9 18
 
1.5%
4 17
 
1.4%
8 14
 
1.1%
7 13
 
1.1%
5 13
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
C 77
25.0%
D 77
25.0%
F 77
25.0%
I 77
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1232
80.0%
Latin 308
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 630
51.1%
2 259
21.0%
1 156
 
12.7%
6 88
 
7.1%
3 24
 
1.9%
9 18
 
1.5%
4 17
 
1.4%
8 14
 
1.1%
7 13
 
1.1%
5 13
 
1.1%
Latin
ValueCountFrequency (%)
C 77
25.0%
D 77
25.0%
F 77
25.0%
I 77
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1540
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 630
40.9%
2 259
16.8%
1 156
 
10.1%
6 88
 
5.7%
C 77
 
5.0%
D 77
 
5.0%
F 77
 
5.0%
I 77
 
5.0%
3 24
 
1.6%
9 18
 
1.2%
Other values (4) 57
 
3.7%

인허가일자
Date

UNIQUE 

Distinct77
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size748.0 B
Minimum1988-08-30 00:00:00
Maximum2023-05-16 00:00:00
2024-04-06T18:55:10.123957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:55:10.392350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B
Distinct4
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size748.0 B
3
37 
1
31 
4
5
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 37
48.1%
1 31
40.3%
4 7
 
9.1%
5 2
 
2.6%

Length

2024-04-06T18:55:10.681315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:55:10.917733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 37
48.1%
1 31
40.3%
4 7
 
9.1%
5 2
 
2.6%

영업상태명
Categorical

Distinct4
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size748.0 B
폐업
37 
영업/정상
31 
취소/말소/만료/정지/중지
제외/삭제/전출
 
2

Length

Max length14
Median length8
Mean length4.4545455
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 37
48.1%
영업/정상 31
40.3%
취소/말소/만료/정지/중지 7
 
9.1%
제외/삭제/전출 2
 
2.6%

Length

2024-04-06T18:55:11.140152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:55:11.411266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 37
48.1%
영업/정상 31
40.3%
취소/말소/만료/정지/중지 7
 
9.1%
제외/삭제/전출 2
 
2.6%
Distinct4
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size748.0 B
3
37 
13
31 
30
15
 
2

Length

Max length2
Median length2
Mean length1.5194805
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row13
3rd row30
4th row30
5th row30

Common Values

ValueCountFrequency (%)
3 37
48.1%
13 31
40.3%
30 7
 
9.1%
15 2
 
2.6%

Length

2024-04-06T18:55:11.813564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:55:12.048083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 37
48.1%
13 31
40.3%
30 7
 
9.1%
15 2
 
2.6%
Distinct4
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size748.0 B
폐업
37 
영업중
31 
허가취소
전출
 
2

Length

Max length4
Median length2
Mean length2.5844156
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 37
48.1%
영업중 31
40.3%
허가취소 7
 
9.1%
전출 2
 
2.6%

Length

2024-04-06T18:55:12.416777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:55:12.665095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 37
48.1%
영업중 31
40.3%
허가취소 7
 
9.1%
전출 2
 
2.6%

폐업일자
Date

MISSING 

Distinct37
Distinct (%)94.9%
Missing38
Missing (%)49.4%
Memory size748.0 B
Minimum2005-05-01 00:00:00
Maximum2023-11-13 00:00:00
2024-04-06T18:55:12.894789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:55:13.118832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

전화번호
Text

MISSING 

Distinct31
Distinct (%)100.0%
Missing46
Missing (%)59.7%
Memory size748.0 B
2024-04-06T18:55:13.509642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.483871
Min length8

Characters and Unicode

Total characters325
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

Unique31 ?
Unique (%)100.0%

Sample

1st row2238-9999
2nd row2243-6455
3rd row2237-8114
4th row6211-2143
5th row464-0762
ValueCountFrequency (%)
2238-9999 1
 
3.2%
02-1566-8366 1
 
3.2%
0234437375 1
 
3.2%
027382888 1
 
3.2%
02-6255-3017 1
 
3.2%
02-6491-6491 1
 
3.2%
000260833429 1
 
3.2%
02-453-1783 1
 
3.2%
070-8876-6749 1
 
3.2%
02-2299-0211 1
 
3.2%
Other values (21) 21
67.7%
2024-04-06T18:55:14.244360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 51
15.7%
- 44
13.5%
0 41
12.6%
4 36
11.1%
8 26
8.0%
3 25
7.7%
6 23
7.1%
7 22
6.8%
1 20
 
6.2%
9 19
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 281
86.5%
Dash Punctuation 44
 
13.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 51
18.1%
0 41
14.6%
4 36
12.8%
8 26
9.3%
3 25
8.9%
6 23
8.2%
7 22
7.8%
1 20
 
7.1%
9 19
 
6.8%
5 18
 
6.4%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 325
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 51
15.7%
- 44
13.5%
0 41
12.6%
4 36
11.1%
8 26
8.0%
3 25
7.7%
6 23
7.1%
7 22
6.8%
1 20
 
6.2%
9 19
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 325
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 51
15.7%
- 44
13.5%
0 41
12.6%
4 36
11.1%
8 26
8.0%
3 25
7.7%
6 23
7.1%
7 22
6.8%
1 20
 
6.2%
9 19
 
5.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

소재지우편번호
Text

MISSING 

Distinct28
Distinct (%)90.3%
Missing46
Missing (%)59.7%
Memory size748.0 B
2024-04-06T18:55:14.615513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0322581
Min length6

Characters and Unicode

Total characters187
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

Unique25 ?
Unique (%)80.6%

Sample

1st row133809
2nd row133847
3rd row133800
4th row133851
5th row133728
ValueCountFrequency (%)
133728 2
 
6.5%
133800 2
 
6.5%
133839 2
 
6.5%
133803 1
 
3.2%
133871 1
 
3.2%
133842 1
 
3.2%
133120 1
 
3.2%
133868 1
 
3.2%
133072 1
 
3.2%
133866 1
 
3.2%
Other values (18) 18
58.1%
2024-04-06T18:55:15.389246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 68
36.4%
1 40
21.4%
8 28
15.0%
2 14
 
7.5%
0 11
 
5.9%
7 7
 
3.7%
4 6
 
3.2%
9 4
 
2.1%
5 4
 
2.1%
6 4
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 186
99.5%
Dash Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 68
36.6%
1 40
21.5%
8 28
15.1%
2 14
 
7.5%
0 11
 
5.9%
7 7
 
3.8%
4 6
 
3.2%
9 4
 
2.2%
5 4
 
2.2%
6 4
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 187
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 68
36.4%
1 40
21.4%
8 28
15.0%
2 14
 
7.5%
0 11
 
5.9%
7 7
 
3.7%
4 6
 
3.2%
9 4
 
2.1%
5 4
 
2.1%
6 4
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 187
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 68
36.4%
1 40
21.4%
8 28
15.0%
2 14
 
7.5%
0 11
 
5.9%
7 7
 
3.7%
4 6
 
3.2%
9 4
 
2.1%
5 4
 
2.1%
6 4
 
2.1%
Distinct72
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size748.0 B
2024-04-06T18:55:15.818468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length37
Mean length27.051948
Min length19

Characters and Unicode

Total characters2083
Distinct characters129
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique69 ?
Unique (%)89.6%

Sample

1st row서울특별시 성동구 행당동 233-1
2nd row서울특별시 성동구 송정동 66-197
3rd row서울특별시 성동구 금호동4가 1470번지
4th row서울특별시 성동구 용답동 227-12번지 연합빌딩2층
5th row서울특별시 성동구 금호동1가 108번지
ValueCountFrequency (%)
서울특별시 77
20.9%
성동구 76
20.6%
성수동2가 28
 
7.6%
성수동1가 16
 
4.3%
행당동 8
 
2.2%
용답동 6
 
1.6%
옥수동 5
 
1.4%
277-17 5
 
1.4%
성수아카데미타워 4
 
1.1%
금호동1가 3
 
0.8%
Other values (123) 141
38.2%
2024-04-06T18:55:16.524442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
344
 
16.5%
154
 
7.4%
130
 
6.2%
2 98
 
4.7%
1 92
 
4.4%
83
 
4.0%
83
 
4.0%
77
 
3.7%
77
 
3.7%
77
 
3.7%
Other values (119) 868
41.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1206
57.9%
Decimal Number 437
 
21.0%
Space Separator 344
 
16.5%
Dash Punctuation 64
 
3.1%
Uppercase Letter 17
 
0.8%
Lowercase Letter 8
 
0.4%
Other Punctuation 3
 
0.1%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
154
12.8%
130
 
10.8%
83
 
6.9%
83
 
6.9%
77
 
6.4%
77
 
6.4%
77
 
6.4%
77
 
6.4%
55
 
4.6%
53
 
4.4%
Other values (85) 340
28.2%
Uppercase Letter
ValueCountFrequency (%)
I 3
17.6%
T 3
17.6%
E 2
11.8%
N 1
 
5.9%
U 1
 
5.9%
O 1
 
5.9%
R 1
 
5.9%
G 1
 
5.9%
D 1
 
5.9%
Y 1
 
5.9%
Other values (2) 2
11.8%
Decimal Number
ValueCountFrequency (%)
2 98
22.4%
1 92
21.1%
3 46
10.5%
7 45
10.3%
0 36
 
8.2%
6 34
 
7.8%
8 30
 
6.9%
5 26
 
5.9%
4 18
 
4.1%
9 12
 
2.7%
Lowercase Letter
ValueCountFrequency (%)
e 2
25.0%
b 1
12.5%
i 1
12.5%
z 1
12.5%
n 1
12.5%
t 1
12.5%
r 1
12.5%
Space Separator
ValueCountFrequency (%)
344
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1206
57.9%
Common 852
40.9%
Latin 25
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
154
12.8%
130
 
10.8%
83
 
6.9%
83
 
6.9%
77
 
6.4%
77
 
6.4%
77
 
6.4%
77
 
6.4%
55
 
4.6%
53
 
4.4%
Other values (85) 340
28.2%
Latin
ValueCountFrequency (%)
I 3
 
12.0%
T 3
 
12.0%
E 2
 
8.0%
e 2
 
8.0%
N 1
 
4.0%
U 1
 
4.0%
O 1
 
4.0%
R 1
 
4.0%
G 1
 
4.0%
D 1
 
4.0%
Other values (9) 9
36.0%
Common
ValueCountFrequency (%)
344
40.4%
2 98
 
11.5%
1 92
 
10.8%
- 64
 
7.5%
3 46
 
5.4%
7 45
 
5.3%
0 36
 
4.2%
6 34
 
4.0%
8 30
 
3.5%
5 26
 
3.1%
Other values (5) 37
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1206
57.9%
ASCII 877
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
344
39.2%
2 98
 
11.2%
1 92
 
10.5%
- 64
 
7.3%
3 46
 
5.2%
7 45
 
5.1%
0 36
 
4.1%
6 34
 
3.9%
8 30
 
3.4%
5 26
 
3.0%
Other values (24) 62
 
7.1%
Hangul
ValueCountFrequency (%)
154
12.8%
130
 
10.8%
83
 
6.9%
83
 
6.9%
77
 
6.4%
77
 
6.4%
77
 
6.4%
77
 
6.4%
55
 
4.6%
53
 
4.4%
Other values (85) 340
28.2%

도로명주소
Text

UNIQUE 

Distinct77
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size748.0 B
2024-04-06T18:55:17.049676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length43
Mean length35.909091
Min length23

Characters and Unicode

Total characters2765
Distinct characters156
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique77 ?
Unique (%)100.0%

Sample

1st row서울특별시 성동구 왕십리로 288-1, 1층 (행당동)
2nd row서울특별시 성동구 광나루로 325 (송정동)
3rd row서울특별시 성동구 동호로 지하 104 (금호동4가)
4th row서울특별시 성동구 자동차시장1길 28 (용답동,연합빌딩2층)
5th row서울특별시 성동구 금호로 166 (금호동1가)
ValueCountFrequency (%)
서울특별시 77
 
15.3%
성동구 76
 
15.1%
성수동2가 26
 
5.2%
성수동1가 16
 
3.2%
성수이로 8
 
1.6%
행당동 7
 
1.4%
118 7
 
1.4%
2층 6
 
1.2%
성수아카데미타워 6
 
1.2%
1층 5
 
1.0%
Other values (195) 269
53.5%
2024-04-06T18:55:17.802548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
437
 
15.8%
168
 
6.1%
156
 
5.6%
1 140
 
5.1%
90
 
3.3%
86
 
3.1%
81
 
2.9%
, 81
 
2.9%
( 80
 
2.9%
) 80
 
2.9%
Other values (146) 1366
49.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1572
56.9%
Decimal Number 472
 
17.1%
Space Separator 437
 
15.8%
Other Punctuation 81
 
2.9%
Open Punctuation 80
 
2.9%
Close Punctuation 80
 
2.9%
Uppercase Letter 26
 
0.9%
Dash Punctuation 15
 
0.5%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
168
 
10.7%
156
 
9.9%
90
 
5.7%
86
 
5.5%
81
 
5.2%
78
 
5.0%
77
 
4.9%
77
 
4.9%
73
 
4.6%
60
 
3.8%
Other values (114) 626
39.8%
Uppercase Letter
ValueCountFrequency (%)
T 4
15.4%
I 3
11.5%
B 3
11.5%
O 2
 
7.7%
E 2
 
7.7%
R 2
 
7.7%
H 1
 
3.8%
U 1
 
3.8%
N 1
 
3.8%
D 1
 
3.8%
Other values (6) 6
23.1%
Decimal Number
ValueCountFrequency (%)
1 140
29.7%
2 75
15.9%
3 49
 
10.4%
0 43
 
9.1%
5 38
 
8.1%
4 36
 
7.6%
8 34
 
7.2%
6 26
 
5.5%
7 18
 
3.8%
9 13
 
2.8%
Space Separator
ValueCountFrequency (%)
437
100.0%
Other Punctuation
ValueCountFrequency (%)
, 81
100.0%
Open Punctuation
ValueCountFrequency (%)
( 80
100.0%
Close Punctuation
ValueCountFrequency (%)
) 80
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1572
56.9%
Common 1167
42.2%
Latin 26
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
168
 
10.7%
156
 
9.9%
90
 
5.7%
86
 
5.5%
81
 
5.2%
78
 
5.0%
77
 
4.9%
77
 
4.9%
73
 
4.6%
60
 
3.8%
Other values (114) 626
39.8%
Common
ValueCountFrequency (%)
437
37.4%
1 140
 
12.0%
, 81
 
6.9%
( 80
 
6.9%
) 80
 
6.9%
2 75
 
6.4%
3 49
 
4.2%
0 43
 
3.7%
5 38
 
3.3%
4 36
 
3.1%
Other values (6) 108
 
9.3%
Latin
ValueCountFrequency (%)
T 4
15.4%
I 3
11.5%
B 3
11.5%
O 2
 
7.7%
E 2
 
7.7%
R 2
 
7.7%
H 1
 
3.8%
U 1
 
3.8%
N 1
 
3.8%
D 1
 
3.8%
Other values (6) 6
23.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1572
56.9%
ASCII 1193
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
437
36.6%
1 140
 
11.7%
, 81
 
6.8%
( 80
 
6.7%
) 80
 
6.7%
2 75
 
6.3%
3 49
 
4.1%
0 43
 
3.6%
5 38
 
3.2%
4 36
 
3.0%
Other values (22) 134
 
11.2%
Hangul
ValueCountFrequency (%)
168
 
10.7%
156
 
9.9%
90
 
5.7%
86
 
5.5%
81
 
5.2%
78
 
5.0%
77
 
4.9%
77
 
4.9%
73
 
4.6%
60
 
3.8%
Other values (114) 626
39.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct35
Distinct (%)53.8%
Missing12
Missing (%)15.6%
Infinite0
Infinite (%)0.0%
Mean10729.985
Minimum4702
Maximum133923
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size825.0 B
2024-04-06T18:55:18.091111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4702
5-th percentile4709
Q14760
median4783
Q34796
95-th percentile4896.8
Maximum133923
Range129221
Interquartile range (IQR)36

Descriptive statistics

Standard deviation27288.264
Coefficient of variation (CV)2.5431783
Kurtosis18.174158
Mean10729.985
Median Absolute Deviation (MAD)14
Skewness4.42895
Sum697449
Variance7.4464935 × 108
MonotonicityNot monotonic
2024-04-06T18:55:18.340998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
4775 6
 
7.8%
4797 6
 
7.8%
4779 5
 
6.5%
4793 4
 
5.2%
4783 4
 
5.2%
4790 3
 
3.9%
4709 3
 
3.9%
4808 3
 
3.9%
4799 2
 
2.6%
4794 2
 
2.6%
Other values (25) 27
35.1%
(Missing) 12
15.6%
ValueCountFrequency (%)
4702 1
 
1.3%
4703 1
 
1.3%
4709 3
3.9%
4714 1
 
1.3%
4716 1
 
1.3%
4721 1
 
1.3%
4723 1
 
1.3%
4725 1
 
1.3%
4739 2
2.6%
4745 1
 
1.3%
ValueCountFrequency (%)
133923 1
 
1.3%
133827 1
 
1.3%
133728 1
 
1.3%
4919 1
 
1.3%
4808 3
3.9%
4801 1
 
1.3%
4799 2
 
2.6%
4797 6
7.8%
4796 1
 
1.3%
4794 2
 
2.6%
Distinct76
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size748.0 B
2024-04-06T18:55:18.796250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length13
Mean length8.4285714
Min length3

Characters and Unicode

Total characters649
Distinct characters178
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

Unique75 ?
Unique (%)97.4%

Sample

1st row(주)럭키관광여행사
2nd row(주)하나월드투어
3rd row(주)하얀항공
4th row(주)안심코리아
5th row(주)신라여행사
ValueCountFrequency (%)
주식회사 16
 
16.0%
여행편지 2
 
2.0%
여행사 2
 
2.0%
보람상조피플(주 1
 
1.0%
맛있는 1
 
1.0%
주)자하여행 1
 
1.0%
서울택시투어 1
 
1.0%
제주루키여행사 1
 
1.0%
주)유니크굿컴퍼니 1
 
1.0%
주)지니서비스 1
 
1.0%
Other values (73) 73
73.0%
2024-04-06T18:55:19.551938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
57
 
8.8%
( 41
 
6.3%
) 41
 
6.3%
30
 
4.6%
23
 
3.5%
19
 
2.9%
19
 
2.9%
18
 
2.8%
17
 
2.6%
17
 
2.6%
Other values (168) 367
56.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 528
81.4%
Open Punctuation 41
 
6.3%
Close Punctuation 41
 
6.3%
Space Separator 23
 
3.5%
Lowercase Letter 10
 
1.5%
Uppercase Letter 4
 
0.6%
Decimal Number 1
 
0.2%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
57
 
10.8%
30
 
5.7%
19
 
3.6%
19
 
3.6%
18
 
3.4%
17
 
3.2%
17
 
3.2%
16
 
3.0%
16
 
3.0%
12
 
2.3%
Other values (152) 307
58.1%
Lowercase Letter
ValueCountFrequency (%)
s 3
30.0%
a 1
 
10.0%
l 1
 
10.0%
c 1
 
10.0%
t 1
 
10.0%
r 1
 
10.0%
i 1
 
10.0%
f 1
 
10.0%
Uppercase Letter
ValueCountFrequency (%)
I 2
50.0%
Z 1
25.0%
N 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 41
100.0%
Close Punctuation
ValueCountFrequency (%)
) 41
100.0%
Space Separator
ValueCountFrequency (%)
23
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 528
81.4%
Common 107
 
16.5%
Latin 14
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
57
 
10.8%
30
 
5.7%
19
 
3.6%
19
 
3.6%
18
 
3.4%
17
 
3.2%
17
 
3.2%
16
 
3.0%
16
 
3.0%
12
 
2.3%
Other values (152) 307
58.1%
Latin
ValueCountFrequency (%)
s 3
21.4%
I 2
14.3%
Z 1
 
7.1%
N 1
 
7.1%
a 1
 
7.1%
l 1
 
7.1%
c 1
 
7.1%
t 1
 
7.1%
r 1
 
7.1%
i 1
 
7.1%
Common
ValueCountFrequency (%)
( 41
38.3%
) 41
38.3%
23
21.5%
2 1
 
0.9%
, 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 528
81.4%
ASCII 121
 
18.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
57
 
10.8%
30
 
5.7%
19
 
3.6%
19
 
3.6%
18
 
3.4%
17
 
3.2%
17
 
3.2%
16
 
3.0%
16
 
3.0%
12
 
2.3%
Other values (152) 307
58.1%
ASCII
ValueCountFrequency (%)
( 41
33.9%
) 41
33.9%
23
19.0%
s 3
 
2.5%
I 2
 
1.7%
2 1
 
0.8%
Z 1
 
0.8%
N 1
 
0.8%
, 1
 
0.8%
a 1
 
0.8%
Other values (6) 6
 
5.0%

최종수정일자
Date

UNIQUE 

Distinct77
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size748.0 B
Minimum2005-04-13 17:34:37
Maximum2023-12-27 18:06:54
2024-04-06T18:55:19.777416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:55:20.020726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size748.0 B
I
40 
U
37 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 40
51.9%
U 37
48.1%

Length

2024-04-06T18:55:20.256168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:55:20.409424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 40
51.9%
u 37
48.1%
Distinct39
Distinct (%)50.6%
Missing0
Missing (%)0.0%
Memory size748.0 B
Minimum2018-08-31 23:59:59
Maximum2022-12-08 22:09:00
2024-04-06T18:55:20.602808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:55:20.819127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

좌표정보(X)
Real number (ℝ)

Distinct63
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean204037.18
Minimum200967.54
Maximum206980.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size825.0 B
2024-04-06T18:55:21.022171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200967.54
5-th percentile201461.08
Q1203205.44
median204339.63
Q3205039.91
95-th percentile205606.48
Maximum206980.97
Range6013.4338
Interquartile range (IQR)1834.4639

Descriptive statistics

Standard deviation1346.3279
Coefficient of variation (CV)0.0065984437
Kurtosis-0.22008059
Mean204037.18
Median Absolute Deviation (MAD)733.84594
Skewness-0.70214941
Sum15710863
Variance1812598.8
MonotonicityNot monotonic
2024-04-06T18:55:21.251098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
205039.907145725 7
 
9.1%
204743.677915464 3
 
3.9%
204966.098616157 2
 
2.6%
205077.325266776 2
 
2.6%
203580.805213021 2
 
2.6%
203053.771184775 2
 
2.6%
203887.185047227 2
 
2.6%
204167.721292495 2
 
2.6%
203156.24129363 1
 
1.3%
205784.868811814 1
 
1.3%
Other values (53) 53
68.8%
ValueCountFrequency (%)
200967.537033206 1
1.3%
201084.709621627 1
1.3%
201232.739255962 1
1.3%
201404.532636 1
1.3%
201475.220359472 1
1.3%
201598.632393769 1
1.3%
201662.343567847 1
1.3%
201710.365243938 1
1.3%
201716.721133871 1
1.3%
201720.668163129 1
1.3%
ValueCountFrequency (%)
206980.970820474 1
1.3%
205837.640591417 1
1.3%
205784.868811814 1
1.3%
205755.106428192 1
1.3%
205569.318249318 1
1.3%
205527.887051222 1
1.3%
205526.575000919 1
1.3%
205525.616970821 1
1.3%
205346.246613591 1
1.3%
205308.123712592 1
1.3%

좌표정보(Y)
Real number (ℝ)

Distinct63
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean449730.13
Minimum448307.19
Maximum451906
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size825.0 B
2024-04-06T18:55:21.446784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448307.19
5-th percentile448460.23
Q1449132.44
median449401.65
Q3450612.38
95-th percentile451302.26
Maximum451906
Range3598.8121
Interquartile range (IQR)1479.933

Descriptive statistics

Standard deviation926.79208
Coefficient of variation (CV)0.0020607738
Kurtosis-0.70500621
Mean449730.13
Median Absolute Deviation (MAD)476.9968
Skewness0.62108605
Sum34629220
Variance858943.56
MonotonicityNot monotonic
2024-04-06T18:55:22.008357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
449216.223655036 7
 
9.1%
449357.9464135 3
 
3.9%
449159.452779834 2
 
2.6%
448924.655109511 2
 
2.6%
450633.032073439 2
 
2.6%
451291.257374878 2
 
2.6%
449860.057407228 2
 
2.6%
449290.778225677 2
 
2.6%
450871.988498605 1
 
1.3%
450883.524006222 1
 
1.3%
Other values (53) 53
68.8%
ValueCountFrequency (%)
448307.187913505 1
1.3%
448361.678964372 1
1.3%
448417.392376904 1
1.3%
448430.454468284 1
1.3%
448467.679244224 1
1.3%
448496.386922964 1
1.3%
448709.190492902 1
1.3%
448714.038805333 1
1.3%
448749.801965236 1
1.3%
448797.51637505 1
1.3%
ValueCountFrequency (%)
451906.0 1
1.3%
451824.598496233 1
1.3%
451577.054359985 1
1.3%
451346.281102634 1
1.3%
451291.257374878 2
2.6%
451147.599393096 1
1.3%
451002.807624223 1
1.3%
451001.868687869 1
1.3%
450979.213509758 1
1.3%
450973.919950758 1
1.3%
Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size748.0 B
국내여행업
59 
<NA>
18 

Length

Max length5
Median length5
Mean length4.7662338
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내여행업 59
76.6%
<NA> 18
 
23.4%

Length

2024-04-06T18:55:22.287403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:55:22.446646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내여행업 59
76.6%
na 18
 
23.4%
Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size748.0 B
<NA>
52 
관광사업
25 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 52
67.5%
관광사업 25
32.5%

Length

2024-04-06T18:55:22.622874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:55:22.791577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 52
67.5%
관광사업 25
32.5%

지역구분명
Text

MISSING 

Distinct4
Distinct (%)80.0%
Missing72
Missing (%)93.5%
Memory size748.0 B
2024-04-06T18:55:22.956564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length5.2
Min length4

Characters and Unicode

Total characters26
Distinct characters11
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)60.0%

Sample

1st row근린상업지역
2nd row주거지역
3rd row준주거지역
4th row준주거지역
5th row일반상업지역
ValueCountFrequency (%)
준주거지역 2
40.0%
근린상업지역 1
20.0%
주거지역 1
20.0%
일반상업지역 1
20.0%
2024-04-06T18:55:23.505603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5
19.2%
5
19.2%
3
11.5%
3
11.5%
2
 
7.7%
2
 
7.7%
2
 
7.7%
1
 
3.8%
1
 
3.8%
1
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5
19.2%
5
19.2%
3
11.5%
3
11.5%
2
 
7.7%
2
 
7.7%
2
 
7.7%
1
 
3.8%
1
 
3.8%
1
 
3.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5
19.2%
5
19.2%
3
11.5%
3
11.5%
2
 
7.7%
2
 
7.7%
2
 
7.7%
1
 
3.8%
1
 
3.8%
1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
5
19.2%
5
19.2%
3
11.5%
3
11.5%
2
 
7.7%
2
 
7.7%
2
 
7.7%
1
 
3.8%
1
 
3.8%
1
 
3.8%

총층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size748.0 B
<NA>
67 
0
 
5
1
 
2
3
 
1
12
 
1

Length

Max length4
Median length4
Mean length3.6363636
Min length1

Unique

Unique3 ?
Unique (%)3.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 67
87.0%
0 5
 
6.5%
1 2
 
2.6%
3 1
 
1.3%
12 1
 
1.3%
11 1
 
1.3%

Length

2024-04-06T18:55:23.727932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:55:23.908086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 67
87.0%
0 5
 
6.5%
1 2
 
2.6%
3 1
 
1.3%
12 1
 
1.3%
11 1
 
1.3%

주변환경명
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size748.0 B
<NA>
71 
기타
 
5
아파트지역
 
1

Length

Max length5
Median length4
Mean length3.8831169
Min length2

Unique

Unique1 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 71
92.2%
기타 5
 
6.5%
아파트지역 1
 
1.3%

Length

2024-04-06T18:55:24.131150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:55:24.317052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 71
92.2%
기타 5
 
6.5%
아파트지역 1
 
1.3%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

보험기관명
Categorical

Distinct15
Distinct (%)19.5%
Missing0
Missing (%)0.0%
Memory size748.0 B
<NA>
39 
서울보증보험
서울보증보험주식회사(2천만원)
한국관광협회중앙회 여행공제회
서울보증보험주식회사
Other values (10)
15 

Length

Max length20
Median length4
Mean length7.4935065
Min length4

Unique

Unique7 ?
Unique (%)9.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 39
50.6%
서울보증보험 9
 
11.7%
서울보증보험주식회사(2천만원) 6
 
7.8%
한국관광협회중앙회 여행공제회 4
 
5.2%
서울보증보험주식회사 4
 
5.2%
서울보증보험(2천만원) 4
 
5.2%
여행공제회 2천만원 2
 
2.6%
서울보증보험주식회사(3천만원) 2
 
2.6%
SGI 서울보증 1
 
1.3%
서울시관광협회 1
 
1.3%
Other values (5) 5
 
6.5%

Length

2024-04-06T18:55:24.543643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 39
46.4%
서울보증보험 9
 
10.7%
여행공제회 7
 
8.3%
서울보증보험주식회사(2천만원 6
 
7.1%
한국관광협회중앙회 5
 
6.0%
서울보증보험주식회사 4
 
4.8%
서울보증보험(2천만원 4
 
4.8%
2천만원 2
 
2.4%
서울보증보험주식회사(3천만원 2
 
2.4%
sgi 1
 
1.2%
Other values (5) 5
 
6.0%

건물용도명
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size748.0 B
<NA>
67 
사무실
 
5
근린생활시설
 
5

Length

Max length6
Median length4
Mean length4.0649351
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> 67
87.0%
사무실 5
 
6.5%
근린생활시설 5
 
6.5%

Length

2024-04-06T18:55:24.747896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:55:24.908206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 67
87.0%
사무실 5
 
6.5%
근린생활시설 5
 
6.5%

지상층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size748.0 B
<NA>
66 
0
 
5
3
 
3
9
 
2
1
 
1

Length

Max length4
Median length4
Mean length3.5714286
Min length1

Unique

Unique1 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 66
85.7%
0 5
 
6.5%
3 3
 
3.9%
9 2
 
2.6%
1 1
 
1.3%

Length

2024-04-06T18:55:25.091676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:55:25.280076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 66
85.7%
0 5
 
6.5%
3 3
 
3.9%
9 2
 
2.6%
1 1
 
1.3%

지하층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size748.0 B
<NA>
69 
0
 
5
1
 
1
3
 
1
2
 
1

Length

Max length4
Median length4
Mean length3.6883117
Min length1

Unique

Unique3 ?
Unique (%)3.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 69
89.6%
0 5
 
6.5%
1 1
 
1.3%
3 1
 
1.3%
2 1
 
1.3%

Length

2024-04-06T18:55:25.489586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:55:25.727932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 69
89.6%
0 5
 
6.5%
1 1
 
1.3%
3 1
 
1.3%
2 1
 
1.3%

객실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size748.0 B
<NA>
72 
0
 
5

Length

Max length4
Median length4
Mean length3.8051948
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> 72
93.5%
0 5
 
6.5%

Length

2024-04-06T18:55:25.917944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:55:26.135691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 72
93.5%
0 5
 
6.5%

건축연면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size748.0 B
<NA>
72 
0
 
5

Length

Max length4
Median length4
Mean length3.8051948
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> 72
93.5%
0 5
 
6.5%

Length

2024-04-06T18:55:26.369861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:55:26.572269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 72
93.5%
0 5
 
6.5%

영문상호명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing76
Missing (%)98.7%
Memory size748.0 B
2024-04-06T18:55:26.756080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters20
Distinct characters17
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

Unique1 ?
Unique (%)100.0%

Sample

1st rowHaennim Tour co.,Ltd
ValueCountFrequency (%)
haennim 1
33.3%
tour 1
33.3%
co.,ltd 1
33.3%
2024-04-06T18:55:27.197258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 2
 
10.0%
n 2
 
10.0%
2
 
10.0%
r 1
 
5.0%
t 1
 
5.0%
L 1
 
5.0%
, 1
 
5.0%
. 1
 
5.0%
c 1
 
5.0%
H 1
 
5.0%
Other values (7) 7
35.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 13
65.0%
Uppercase Letter 3
 
15.0%
Space Separator 2
 
10.0%
Other Punctuation 2
 
10.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 2
15.4%
n 2
15.4%
r 1
7.7%
t 1
7.7%
c 1
7.7%
u 1
7.7%
a 1
7.7%
m 1
7.7%
i 1
7.7%
e 1
7.7%
Uppercase Letter
ValueCountFrequency (%)
L 1
33.3%
H 1
33.3%
T 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
. 1
50.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 16
80.0%
Common 4
 
20.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 2
12.5%
n 2
12.5%
r 1
 
6.2%
t 1
 
6.2%
L 1
 
6.2%
c 1
 
6.2%
H 1
 
6.2%
u 1
 
6.2%
a 1
 
6.2%
T 1
 
6.2%
Other values (4) 4
25.0%
Common
ValueCountFrequency (%)
2
50.0%
, 1
25.0%
. 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 2
 
10.0%
n 2
 
10.0%
2
 
10.0%
r 1
 
5.0%
t 1
 
5.0%
L 1
 
5.0%
, 1
 
5.0%
. 1
 
5.0%
c 1
 
5.0%
H 1
 
5.0%
Other values (7) 7
35.0%

영문상호주소
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing76
Missing (%)98.7%
Memory size748.0 B
2024-04-06T18:55:27.428050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length21
Mean length21
Min length21

Characters and Unicode

Total characters21
Distinct characters17
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

Unique1 ?
Unique (%)100.0%

Sample

1st rowInbound Travel Agency
ValueCountFrequency (%)
inbound 1
33.3%
travel 1
33.3%
agency 1
33.3%
2024-04-06T18:55:27.847713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 3
14.3%
2
 
9.5%
e 2
 
9.5%
I 1
 
4.8%
v 1
 
4.8%
c 1
 
4.8%
g 1
 
4.8%
A 1
 
4.8%
l 1
 
4.8%
r 1
 
4.8%
Other values (7) 7
33.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 16
76.2%
Uppercase Letter 3
 
14.3%
Space Separator 2
 
9.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 3
18.8%
e 2
12.5%
v 1
 
6.2%
c 1
 
6.2%
g 1
 
6.2%
l 1
 
6.2%
r 1
 
6.2%
a 1
 
6.2%
d 1
 
6.2%
u 1
 
6.2%
Other values (3) 3
18.8%
Uppercase Letter
ValueCountFrequency (%)
I 1
33.3%
A 1
33.3%
T 1
33.3%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 19
90.5%
Common 2
 
9.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 3
15.8%
e 2
 
10.5%
I 1
 
5.3%
v 1
 
5.3%
c 1
 
5.3%
g 1
 
5.3%
A 1
 
5.3%
l 1
 
5.3%
r 1
 
5.3%
a 1
 
5.3%
Other values (6) 6
31.6%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n 3
14.3%
2
 
9.5%
e 2
 
9.5%
I 1
 
4.8%
v 1
 
4.8%
c 1
 
4.8%
g 1
 
4.8%
A 1
 
4.8%
l 1
 
4.8%
r 1
 
4.8%
Other values (7) 7
33.3%

선박총톤수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size748.0 B
<NA>
72 
0
 
5

Length

Max length4
Median length4
Mean length3.8051948
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> 72
93.5%
0 5
 
6.5%

Length

2024-04-06T18:55:28.085473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:55:28.256615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 72
93.5%
0 5
 
6.5%

선박척수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size748.0 B
<NA>
72 
0
 
5

Length

Max length4
Median length4
Mean length3.8051948
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> 72
93.5%
0 5
 
6.5%

Length

2024-04-06T18:55:28.448110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:55:28.631624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 72
93.5%
0 5
 
6.5%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

무대면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size748.0 B
<NA>
72 
0
 
5

Length

Max length4
Median length4
Mean length3.8051948
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> 72
93.5%
0 5
 
6.5%

Length

2024-04-06T18:55:28.901993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:55:29.078122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 72
93.5%
0 5
 
6.5%

좌석수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size748.0 B
<NA>
72 
0
 
5

Length

Max length4
Median length4
Mean length3.8051948
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> 72
93.5%
0 5
 
6.5%

Length

2024-04-06T18:55:29.247418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:55:29.433755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 72
93.5%
0 5
 
6.5%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

회의실별동시수용인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size748.0 B
<NA>
72 
0
 
5

Length

Max length4
Median length4
Mean length3.8051948
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> 72
93.5%
0 5
 
6.5%

Length

2024-04-06T18:55:29.618085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:55:29.795311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 72
93.5%
0 5
 
6.5%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct20
Distinct (%)80.0%
Missing52
Missing (%)67.5%
Infinite0
Infinite (%)0.0%
Mean70.2424
Minimum0
Maximum785.6
Zeros5
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size825.0 B
2024-04-06T18:55:29.979109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16.5
median24.88
Q351.17
95-th percentile252.138
Maximum785.6
Range785.6
Interquartile range (IQR)44.67

Descriptive statistics

Standard deviation160.22746
Coefficient of variation (CV)2.2810647
Kurtosis18.028995
Mean70.2424
Median Absolute Deviation (MAD)23.88
Skewness4.0997127
Sum1756.06
Variance25672.838
MonotonicityNot monotonic
2024-04-06T18:55:30.203239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.0 5
 
6.5%
20.0 2
 
2.6%
51.17 1
 
1.3%
24.0 1
 
1.3%
12.0 1
 
1.3%
44.76 1
 
1.3%
20.68 1
 
1.3%
6.5 1
 
1.3%
33.45 1
 
1.3%
25.6 1
 
1.3%
Other values (10) 10
 
13.0%
(Missing) 52
67.5%
ValueCountFrequency (%)
0.0 5
6.5%
1.0 1
 
1.3%
6.5 1
 
1.3%
12.0 1
 
1.3%
20.0 2
 
2.6%
20.68 1
 
1.3%
24.0 1
 
1.3%
24.88 1
 
1.3%
25.6 1
 
1.3%
33.45 1
 
1.3%
ValueCountFrequency (%)
785.6 1
1.3%
280.5 1
1.3%
138.69 1
1.3%
74.05 1
1.3%
66.12 1
1.3%
52.8 1
1.3%
51.17 1
1.3%
44.76 1
1.3%
39.26 1
1.3%
35.0 1
1.3%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

놀이시설수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size748.0 B
<NA>
72 
0
 
5

Length

Max length4
Median length4
Mean length3.8051948
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> 72
93.5%
0 5
 
6.5%

Length

2024-04-06T18:55:30.467513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:55:30.651415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 72
93.5%
0 5
 
6.5%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct23
Distinct (%)50.0%
Missing31
Missing (%)40.3%
Infinite0
Infinite (%)0.0%
Mean1.1703771 × 108
Minimum0
Maximum1.9289114 × 109
Zeros1
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size825.0 B
2024-04-06T18:55:30.814054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15000000
Q130000000
median50000000
Q31.15 × 108
95-th percentile1.9503121 × 108
Maximum1.9289114 × 109
Range1.9289114 × 109
Interquartile range (IQR)85000000

Descriptive statistics

Standard deviation2.8332994 × 108
Coefficient of variation (CV)2.4208431
Kurtosis39.312278
Mean1.1703771 × 108
Median Absolute Deviation (MAD)30000000
Skewness6.0966702
Sum5.3837347 × 109
Variance8.0275853 × 1016
MonotonicityNot monotonic
2024-04-06T18:55:31.043830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
50000000 10
 
13.0%
150000000 7
 
9.1%
30000000 5
 
6.5%
15000000 4
 
5.2%
20000000 2
 
2.6%
450000000 1
 
1.3%
0 1
 
1.3%
16936870 1
 
1.3%
210041618 1
 
1.3%
91403883 1
 
1.3%
Other values (13) 13
16.9%
(Missing) 31
40.3%
ValueCountFrequency (%)
0 1
 
1.3%
15000000 4
 
5.2%
16936870 1
 
1.3%
20000000 2
 
2.6%
30000000 5
6.5%
30845755 1
 
1.3%
31131781 1
 
1.3%
45000000 1
 
1.3%
45053414 1
 
1.3%
50000000 10
13.0%
ValueCountFrequency (%)
1928911428 1
 
1.3%
450000000 1
 
1.3%
210041618 1
 
1.3%
150000000 7
9.1%
130000000 1
 
1.3%
120000000 1
 
1.3%
100000000 1
 
1.3%
97510000 1
 
1.3%
91403883 1
 
1.3%
90000000 1
 
1.3%

보험시작일자
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)97.4%
Missing38
Missing (%)49.4%
Infinite0
Infinite (%)0.0%
Mean20166104
Minimum20070925
Maximum20210730
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size825.0 B
2024-04-06T18:55:31.433592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070925
5-th percentile20089931
Q120145766
median20171218
Q320200472
95-th percentile20210304
Maximum20210730
Range139805
Interquartile range (IQR)54706

Descriptive statistics

Standard deviation39677.883
Coefficient of variation (CV)0.0019675532
Kurtosis-0.12617826
Mean20166104
Median Absolute Deviation (MAD)29399
Skewness-0.92921247
Sum7.8647805 × 108
Variance1.5743344 × 109
MonotonicityNot monotonic
2024-04-06T18:55:31.641227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
20140602 2
 
2.6%
20181127 1
 
1.3%
20191219 1
 
1.3%
20171218 1
 
1.3%
20161129 1
 
1.3%
20170108 1
 
1.3%
20161006 1
 
1.3%
20200328 1
 
1.3%
20200717 1
 
1.3%
20190303 1
 
1.3%
Other values (28) 28
36.4%
(Missing) 38
49.4%
ValueCountFrequency (%)
20070925 1
1.3%
20081018 1
1.3%
20090921 1
1.3%
20100405 1
1.3%
20101112 1
1.3%
20110927 1
1.3%
20111005 1
1.3%
20140602 2
2.6%
20140719 1
1.3%
20150814 1
1.3%
ValueCountFrequency (%)
20210730 1
1.3%
20210331 1
1.3%
20210301 1
1.3%
20210113 1
1.3%
20201223 1
1.3%
20200825 1
1.3%
20200818 1
1.3%
20200717 1
1.3%
20200622 1
1.3%
20200617 1
1.3%

보험종료일자
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)97.4%
Missing38
Missing (%)49.4%
Infinite0
Infinite (%)0.0%
Mean20176101
Minimum20080924
Maximum20220729
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size825.0 B
2024-04-06T18:55:31.852038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080924
5-th percentile20099931
Q120155766
median20181218
Q320210472
95-th percentile20220238
Maximum20220729
Range139805
Interquartile range (IQR)54706.5

Descriptive statistics

Standard deviation39675.798
Coefficient of variation (CV)0.001966475
Kurtosis-0.1260247
Mean20176101
Median Absolute Deviation (MAD)29398
Skewness-0.92939373
Sum7.8686794 × 108
Variance1.574169 × 109
MonotonicityNot monotonic
2024-04-06T18:55:32.129949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
20150601 2
 
2.6%
20191126 1
 
1.3%
20201219 1
 
1.3%
20181218 1
 
1.3%
20171128 1
 
1.3%
20180107 1
 
1.3%
20171005 1
 
1.3%
20210328 1
 
1.3%
20210716 1
 
1.3%
20200302 1
 
1.3%
Other values (28) 28
36.4%
(Missing) 38
49.4%
ValueCountFrequency (%)
20080924 1
1.3%
20091017 1
1.3%
20100921 1
1.3%
20110405 1
1.3%
20111111 1
1.3%
20120926 1
1.3%
20121004 1
1.3%
20150601 2
2.6%
20150718 1
1.3%
20160813 1
1.3%
ValueCountFrequency (%)
20220729 1
1.3%
20220330 1
1.3%
20220228 1
1.3%
20220113 1
1.3%
20211222 1
1.3%
20210825 1
1.3%
20210817 1
1.3%
20210716 1
1.3%
20210622 1
1.3%
20210616 1
1.3%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct20
Distinct (%)80.0%
Missing52
Missing (%)67.5%
Infinite0
Infinite (%)0.0%
Mean70.32
Minimum0
Maximum786
Zeros5
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size825.0 B
2024-04-06T18:55:32.401728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median25
Q351
95-th percentile252.6
Maximum786
Range786
Interquartile range (IQR)44

Descriptive statistics

Standard deviation160.32122
Coefficient of variation (CV)2.2798808
Kurtosis18.018472
Mean70.32
Median Absolute Deviation (MAD)24
Skewness4.0985799
Sum1758
Variance25702.893
MonotonicityNot monotonic
2024-04-06T18:55:32.618463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 5
 
6.5%
20 2
 
2.6%
51 1
 
1.3%
24 1
 
1.3%
12 1
 
1.3%
45 1
 
1.3%
21 1
 
1.3%
7 1
 
1.3%
33 1
 
1.3%
26 1
 
1.3%
Other values (10) 10
 
13.0%
(Missing) 52
67.5%
ValueCountFrequency (%)
0 5
6.5%
1 1
 
1.3%
7 1
 
1.3%
12 1
 
1.3%
20 2
 
2.6%
21 1
 
1.3%
24 1
 
1.3%
25 1
 
1.3%
26 1
 
1.3%
33 1
 
1.3%
ValueCountFrequency (%)
786 1
1.3%
281 1
1.3%
139 1
1.3%
74 1
1.3%
66 1
1.3%
53 1
1.3%
51 1
1.3%
45 1
1.3%
39 1
1.3%
35 1
1.3%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03030000CDFI226001198800000119880830<NA>3폐업3폐업20211213<NA><NA><NA><NA><NA><NA>서울특별시 성동구 행당동 233-1서울특별시 성동구 왕십리로 288-1, 1층 (행당동)4751(주)럭키관광여행사2021-12-13 15:24:57U2021-12-15 02:40:00.0<NA>203156.241294450871.988499국내여행업관광사업<NA><NA><NA><NA>SGI 서울보증<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021030120220228<NA><NA>
13030000CDFI22600119960000021996-08-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 송정동 66-197서울특별시 성동구 광나루로 325 (송정동)4801(주)하나월드투어2023-04-17 14:13:08U2022-12-03 23:09:00.0<NA>205755.106428449576.253567<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23030000CDFI226001199800000119980325<NA>4취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA>2238-9999<NA>133809서울특별시 성동구 금호동4가 1470번지서울특별시 성동구 동호로 지하 104 (금호동4가)<NA>(주)하얀항공2007-02-07 18:25:48I2018-08-31 23:59:59.0<NA>201404.532636449844.119898국내여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33030000CDFI226001199900000119990910<NA>4취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA>2243-6455<NA>133847서울특별시 성동구 용답동 227-12번지 연합빌딩2층서울특별시 성동구 자동차시장1길 28 (용답동,연합빌딩2층)<NA>(주)안심코리아2007-02-07 18:26:06I2018-08-31 23:59:59.0<NA>205284.290382450979.21351국내여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>50000000<NA><NA><NA><NA>
43030000CDFI226001200200000120020530<NA>4취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA>2237-8114<NA>133800서울특별시 성동구 금호동1가 108번지서울특별시 성동구 금호로 166 (금호동1가)<NA>(주)신라여행사2007-01-17 16:14:09I2018-08-31 23:59:59.0<NA>201716.721134450376.041269국내여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>150000000<NA><NA><NA><NA>
53030000CDFI226001200300000220030318<NA>3폐업3폐업20050501<NA><NA><NA>6211-2143<NA>133851서울특별시 성동구 용답동 223-3번지서울특별시 성동구 천호대로 346 (용답동)<NA>서울시도시철도공사2005-04-13 17:34:37I2018-08-31 23:59:59.0<NA>204987.559275451147.599393국내여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63030000CDFI226001200300000620030527<NA>4취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA>464-0762<NA>133728서울특별시 성동구 성수동2가 277-17번지 성수아카데미타워428호서울특별시 성동구 성수이로 118 (성수동2가)133728(주)투어짱코리아2013-12-31 17:42:55I2018-08-31 23:59:59.0<NA>205039.907146449216.223655국내여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73030000CDFI226001200300000720030218<NA>4취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA>02-3437-2547<NA>133800서울특별시 성동구 금호동1가 110번지서울특별시 성동구 금호로 164-1 (금호동1가)<NA>써니항공여행사2007-02-07 18:27:11I2018-08-31 23:59:59.0<NA>201720.668163450363.626141국내여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83030000CDFI226001200300000820030707<NA>3폐업3폐업20060825<NA><NA><NA><NA><NA>133850서울특별시 성동구 용답동 232-13번지 나성빌딩 506호서울특별시 성동구 자동차시장1길 51, 506호 (용답동,나성빌딩)<NA>(주)파티투나잇2006-08-28 15:51:42I2018-08-31 23:59:59.0<NA>205526.575001450973.919951국내여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93030000CDFI226001200300000920030813<NA>4취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA><NA><NA>133832서울특별시 성동구 성수동2가 280-36번지 효진빌딩 301호서울특별시 성동구 광나루로 280, 301호 (성수동2가,효진빌딩)<NA>(주)뉴진커뮤니케이션2006-10-11 14:20:08I2018-08-31 23:59:59.0<NA>205308.123713449531.901417국내여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><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
673030000CDFI22600120210000042021-06-03<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 하왕십리동 258 벽산아파트상가서울특별시 성동구 청계천로 484, 벽산아파트상가 B10호 (하왕십리동)4703올레아2023-08-21 15:42:51U2022-12-07 22:03:00.0<NA>202727.770917451824.598496<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
683030000CDFI226001202100000520181011<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동1가 25-2서울특별시 성동구 성수일로 20, 6층 (성수동1가)4780(주)씨몬2021-07-12 09:23:32U2021-07-14 02:40:00.0<NA>204266.230732448887.796068국내여행업<NA><NA>0<NA><NA>서울보증보험주식회사<NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>2100416182021033120220330<NA>0
693030000CDFI226001202100000620200812<NA>3폐업3폐업20210917<NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동2가 280-38 아인빌딩서울특별시 성동구 광나루로 286, 아인빌딩 8~9층 (성수동2가)4796(주)휴먼터치랩2021-09-17 13:51:49U2021-09-19 02:40:00.0<NA>205346.246614449493.845097국내여행업<NA><NA>0<NA><NA>서울보증보험(2천만원)<NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>500000002020081820210817<NA>0
703030000CDFI22600120210000072021-04-21<NA>5제외/삭제/전출15전출2023-02-14<NA><NA><NA>0234437375<NA><NA>서울특별시 성동구 성수동2가 289-21 효정빌딩서울특별시 성동구 아차산로7길 15-1, 효정빌딩 3층 3317호 (성수동2가)4793주식회사 온컬처인2023-02-14 13:51:44U2022-12-01 23:06:00.0<NA>204743.677915449357.946414<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
713030000CDFI226001202100000820200803<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동2가 273-13서울특별시 성동구 연무장15길 11, B동 252호 (성수동2가)4783(주)타고가요2022-08-02 17:10:22U2021-12-08 00:04:00.0<NA>205167.535546448920.682564<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
723030000CDFI226001202100000920210924<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동2가 271-11 상상플래닛서울특별시 성동구 뚝섬로13길 38, 상상플래닛 711호 (성수동2가)4785주식회사 바닐라컴퍼니2021-09-24 13:56:25I2021-09-26 00:22:48.0<NA>205073.476044448797.516375국내여행업<NA><NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>16936870<NA><NA><NA>0
733030000CDFI226001202100001020201216<NA>1영업/정상13영업중<NA><NA><NA><NA>02-462-3260<NA><NA>서울특별시 성동구 성수동2가 277-17 성수아카데미타워서울특별시 성동구 성수이로 118, 성수아카데미타워 9층 907호 (성수동2가)4797주식회사 스트리밍하우스2021-12-17 11:03:38I2021-12-19 00:22:42.0<NA>205039.907146449216.223655국내여행업<NA><NA>0<NA><NA>서울보증보험(2천만원)<NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>02020122320211222<NA>0
743030000CDFI22600120210000112015-03-31<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동2가 273-19 아이템플서울특별시 성동구 연무장13길 9, 아이템플 5434호 (성수동2가)4783(주)에이치스토리2023-12-27 18:06:54U2022-11-01 22:09:00.0<NA>205077.325267448924.65511<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
753030000CDFI226001202200000120151027<NA>3폐업3폐업20220216<NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동2가 338-9서울특별시 성동구 성덕정15길 11, 1층 (성수동2가)4775(주)훌리리2022-09-14 14:56:54U2021-12-08 23:06:00.0<NA>204671.747523448496.386923<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
763030000CDFI22600120230000012023-05-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동2가 277-17 성수아카데미타워서울특별시 성동구 성수이로 118, 성수아카데미타워 15층 1522호 (성수동2가)4797주식회사 와이에이치이노2023-05-17 14:57:49I2022-12-04 23:09:00.0<NA>205039.907146449216.223655<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>