Overview

Dataset statistics

Number of variables60
Number of observations51
Missing cells1378
Missing cells (%)45.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory26.0 KiB
Average record size in memory522.6 B

Variable types

Categorical21
Text9
DateTime4
Unsupported19
Numeric7

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-17170/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
주변환경명 has constant value ""Constant
보험기관명 has constant value ""Constant
영업상태코드 is highly imbalanced (50.6%)Imbalance
영업상태명 is highly imbalanced (50.6%)Imbalance
상세영업상태코드 is highly imbalanced (50.6%)Imbalance
상세영업상태명 is highly imbalanced (50.6%)Imbalance
문화사업자구분명 is highly imbalanced (67.7%)Imbalance
지역구분명 is highly imbalanced (67.7%)Imbalance
총층수 is highly imbalanced (53.7%)Imbalance
건물용도명 is highly imbalanced (60.3%)Imbalance
지상층수 is highly imbalanced (53.7%)Imbalance
지하층수 is highly imbalanced (62.2%)Imbalance
객실수 is highly imbalanced (53.7%)Imbalance
건축연면적 is highly imbalanced (53.7%)Imbalance
선박총톤수 is highly imbalanced (53.7%)Imbalance
선박척수 is highly imbalanced (53.7%)Imbalance
무대면적 is highly imbalanced (53.7%)Imbalance
좌석수 is highly imbalanced (53.7%)Imbalance
회의실별동시수용인원 is highly imbalanced (53.7%)Imbalance
놀이시설수 is highly imbalanced (53.7%)Imbalance
인허가취소일자 has 51 (100.0%) missing valuesMissing
폐업일자 has 43 (84.3%) missing valuesMissing
휴업시작일자 has 51 (100.0%) missing valuesMissing
휴업종료일자 has 51 (100.0%) missing valuesMissing
재개업일자 has 51 (100.0%) missing valuesMissing
전화번호 has 23 (45.1%) missing valuesMissing
소재지면적 has 51 (100.0%) missing valuesMissing
소재지우편번호 has 41 (80.4%) missing valuesMissing
도로명우편번호 has 1 (2.0%) missing valuesMissing
업태구분명 has 51 (100.0%) missing valuesMissing
주변환경명 has 49 (96.1%) missing valuesMissing
제작취급품목내용 has 51 (100.0%) missing valuesMissing
보험기관명 has 50 (98.0%) missing valuesMissing
영문상호명 has 48 (94.1%) missing valuesMissing
영문상호주소 has 48 (94.1%) missing valuesMissing
선박제원 has 51 (100.0%) missing valuesMissing
기념품종류 has 51 (100.0%) missing valuesMissing
시설면적 has 40 (78.4%) missing valuesMissing
놀이기구수내역 has 51 (100.0%) missing valuesMissing
방송시설유무 has 51 (100.0%) missing valuesMissing
발전시설유무 has 51 (100.0%) missing valuesMissing
의무실유무 has 51 (100.0%) missing valuesMissing
안내소유무 has 51 (100.0%) missing valuesMissing
기획여행보험시작일자 has 51 (100.0%) missing valuesMissing
기획여행보험종료일자 has 51 (100.0%) missing valuesMissing
자본금 has 26 (51.0%) missing valuesMissing
보험시작일자 has 51 (100.0%) missing valuesMissing
보험종료일자 has 51 (100.0%) missing valuesMissing
부대시설내역 has 51 (100.0%) missing valuesMissing
시설규모 has 40 (78.4%) missing valuesMissing
관리번호 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
보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험종료일자 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 (9.8%) zerosZeros
자본금 has 1 (2.0%) zerosZeros
시설규모 has 5 (9.8%) zerosZeros

Reproduction

Analysis started2024-05-11 05:22:41.413332
Analysis finished2024-05-11 05:22:42.273834
Duration0.86 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
3030000
51 

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 51
100.0%

Length

2024-05-11T14:22:42.367399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:42.505711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3030000 51
100.0%

관리번호
Text

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2024-05-11T14:22:42.720046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1020
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

Unique51 ?
Unique (%)100.0%

Sample

1st rowCDFI2263102009000001
2nd rowCDFI2263102009000002
3rd rowCDFI2263102011000001
4th rowCDFI2263102011000002
5th rowCDFI2263102013000001
ValueCountFrequency (%)
cdfi2263102009000001 1
 
2.0%
cdfi2263102019000009 1
 
2.0%
cdfi2263102020000002 1
 
2.0%
cdfi2263102020000004 1
 
2.0%
cdfi2263102020000005 1
 
2.0%
cdfi2263102020000006 1
 
2.0%
cdfi2263102020000007 1
 
2.0%
cdfi2263102021000001 1
 
2.0%
cdfi2263102021000003 1
 
2.0%
cdfi2263102021000005 1
 
2.0%
Other values (41) 41
80.4%
2024-05-11T14:22:43.110619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 365
35.8%
2 194
19.0%
1 97
 
9.5%
3 63
 
6.2%
6 58
 
5.7%
C 51
 
5.0%
D 51
 
5.0%
F 51
 
5.0%
I 51
 
5.0%
9 12
 
1.2%
Other values (4) 27
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 816
80.0%
Uppercase Letter 204
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 365
44.7%
2 194
23.8%
1 97
 
11.9%
3 63
 
7.7%
6 58
 
7.1%
9 12
 
1.5%
4 7
 
0.9%
5 7
 
0.9%
8 7
 
0.9%
7 6
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
C 51
25.0%
D 51
25.0%
F 51
25.0%
I 51
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 816
80.0%
Latin 204
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 365
44.7%
2 194
23.8%
1 97
 
11.9%
3 63
 
7.7%
6 58
 
7.1%
9 12
 
1.5%
4 7
 
0.9%
5 7
 
0.9%
8 7
 
0.9%
7 6
 
0.7%
Latin
ValueCountFrequency (%)
C 51
25.0%
D 51
25.0%
F 51
25.0%
I 51
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1020
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 365
35.8%
2 194
19.0%
1 97
 
9.5%
3 63
 
6.2%
6 58
 
5.7%
C 51
 
5.0%
D 51
 
5.0%
F 51
 
5.0%
I 51
 
5.0%
9 12
 
1.2%
Other values (4) 27
 
2.6%

인허가일자
Date

Distinct49
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Memory size540.0 B
Minimum2001-03-09 00:00:00
Maximum2024-04-17 00:00:00
2024-05-11T14:22:43.294287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:22:43.504033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
1
43 
3
 
4
5
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 43
84.3%
3 4
 
7.8%
5 4
 
7.8%

Length

2024-05-11T14:22:43.694949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:43.828653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 43
84.3%
3 4
 
7.8%
5 4
 
7.8%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
영업/정상
43 
폐업
 
4
제외/삭제/전출
 
4

Length

Max length8
Median length5
Mean length5
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 43
84.3%
폐업 4
 
7.8%
제외/삭제/전출 4
 
7.8%

Length

2024-05-11T14:22:43.960358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:44.073568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 43
84.3%
폐업 4
 
7.8%
제외/삭제/전출 4
 
7.8%

상세영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
13
43 
3
 
4
15
 
4

Length

Max length2
Median length2
Mean length1.9215686
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 43
84.3%
3 4
 
7.8%
15 4
 
7.8%

Length

2024-05-11T14:22:44.194102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:44.340128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 43
84.3%
3 4
 
7.8%
15 4
 
7.8%

상세영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
영업중
43 
폐업
 
4
전출
 
4

Length

Max length3
Median length3
Mean length2.8431373
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 43
84.3%
폐업 4
 
7.8%
전출 4
 
7.8%

Length

2024-05-11T14:22:44.468639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:44.591686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 43
84.3%
폐업 4
 
7.8%
전출 4
 
7.8%

폐업일자
Date

MISSING 

Distinct8
Distinct (%)100.0%
Missing43
Missing (%)84.3%
Memory size540.0 B
Minimum2013-11-21 00:00:00
Maximum2024-01-17 00:00:00
2024-05-11T14:22:44.684217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:22:44.795657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

전화번호
Text

MISSING 

Distinct28
Distinct (%)100.0%
Missing23
Missing (%)45.1%
Memory size540.0 B
2024-05-11T14:22:44.988441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.071429
Min length9

Characters and Unicode

Total characters310
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)100.0%

Sample

1st row02)508-8591
2nd row3445-7775
3rd row070-8015-0629
4th row02-2220-4886
5th row02 5711753
ValueCountFrequency (%)
02)508-8591 1
 
3.4%
070-4423-8100 1
 
3.4%
0264189433 1
 
3.4%
02-550-5718 1
 
3.4%
02-725-5535 1
 
3.4%
02-2038-8975 1
 
3.4%
02-766-0046 1
 
3.4%
02-1661-2460 1
 
3.4%
0262336043 1
 
3.4%
025660360 1
 
3.4%
Other values (19) 19
65.5%
2024-05-11T14:22:45.375737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 57
18.4%
2 42
13.5%
- 40
12.9%
5 30
9.7%
6 26
8.4%
4 23
7.4%
3 22
 
7.1%
1 20
 
6.5%
8 17
 
5.5%
7 17
 
5.5%
Other values (3) 16
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 268
86.5%
Dash Punctuation 40
 
12.9%
Close Punctuation 1
 
0.3%
Space Separator 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 57
21.3%
2 42
15.7%
5 30
11.2%
6 26
9.7%
4 23
8.6%
3 22
 
8.2%
1 20
 
7.5%
8 17
 
6.3%
7 17
 
6.3%
9 14
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 310
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 57
18.4%
2 42
13.5%
- 40
12.9%
5 30
9.7%
6 26
8.4%
4 23
7.4%
3 22
 
7.1%
1 20
 
6.5%
8 17
 
5.5%
7 17
 
5.5%
Other values (3) 16
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 310
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 57
18.4%
2 42
13.5%
- 40
12.9%
5 30
9.7%
6 26
8.4%
4 23
7.4%
3 22
 
7.1%
1 20
 
6.5%
8 17
 
5.5%
7 17
 
5.5%
Other values (3) 16
 
5.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)60.0%
Missing41
Missing (%)80.4%
Infinite0
Infinite (%)0.0%
Mean133613.9
Minimum133111
Maximum133834
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2024-05-11T14:22:45.495796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum133111
5-th percentile133115.05
Q1133287.75
median133832
Q3133832.75
95-th percentile133834
Maximum133834
Range723
Interquartile range (IQR)545

Descriptive statistics

Standard deviation343.14605
Coefficient of variation (CV)0.0025681913
Kurtosis-1.2265101
Mean133613.9
Median Absolute Deviation (MAD)2
Skewness-1.0299415
Sum1336139
Variance117749.21
MonotonicityNot monotonic
2024-05-11T14:22:45.625907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
133832 3
 
5.9%
133834 2
 
3.9%
133120 2
 
3.9%
133833 1
 
2.0%
133111 1
 
2.0%
133791 1
 
2.0%
(Missing) 41
80.4%
ValueCountFrequency (%)
133111 1
 
2.0%
133120 2
3.9%
133791 1
 
2.0%
133832 3
5.9%
133833 1
 
2.0%
133834 2
3.9%
ValueCountFrequency (%)
133834 2
3.9%
133833 1
 
2.0%
133832 3
5.9%
133791 1
 
2.0%
133120 2
3.9%
133111 1
 
2.0%

지번주소
Text

Distinct47
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Memory size540.0 B
2024-05-11T14:22:45.965415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length35
Mean length30.352941
Min length20

Characters and Unicode

Total characters1548
Distinct characters147
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

Unique43 ?
Unique (%)84.3%

Sample

1st row서울특별시 성동구 성수동2가 300-68 A동
2nd row서울특별시 성동구 성수동2가 300-68 A동
3rd row서울특별시 성동구 성수동2가 299-24 렉스모터스빌딩 9층
4th row서울특별시 성동구 성수동2가 280-21 우림 e-biz센터 207호
5th row서울특별시 성동구 성수동2가 281-16 일신건영 휴먼테코 1102호
ValueCountFrequency (%)
서울특별시 51
18.4%
성동구 51
18.4%
성수동2가 31
 
11.2%
성수동1가 14
 
5.1%
서울숲 5
 
1.8%
281-16 3
 
1.1%
성수 3
 
1.1%
신창비바패밀리 3
 
1.1%
232-1 3
 
1.1%
용답동 3
 
1.1%
Other values (91) 110
39.7%
2024-05-11T14:22:46.480505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
259
 
16.7%
동 105
 
6.8%
성 104
 
6.7%
2 74
 
4.8%
1 65
 
4.2%
울 62
 
4.0%
서 62
 
4.0%
수 53
 
3.4%
시 52
 
3.4%
구 52
 
3.4%
Other values (137) 660
42.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 866
55.9%
Decimal Number 308
 
19.9%
Space Separator 259
 
16.7%
Dash Punctuation 50
 
3.2%
Uppercase Letter 42
 
2.7%
Lowercase Letter 21
 
1.4%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 105
12.1%
성 104
12.0%
울 62
 
7.2%
서 62
 
7.2%
수 53
 
6.1%
시 52
 
6.0%
구 52
 
6.0%
별 51
 
5.9%
특 51
 
5.9%
가 45
 
5.2%
Other values (93) 229
26.4%
Uppercase Letter
ValueCountFrequency (%)
A 7
16.7%
E 5
11.9%
T 5
11.9%
K 4
9.5%
R 3
 
7.1%
M 2
 
4.8%
I 2
 
4.8%
N 2
 
4.8%
L 2
 
4.8%
C 2
 
4.8%
Other values (8) 8
19.0%
Lowercase Letter
ValueCountFrequency (%)
o 4
19.0%
e 4
19.0%
r 3
14.3%
w 2
9.5%
z 1
 
4.8%
i 1
 
4.8%
b 1
 
4.8%
h 1
 
4.8%
p 1
 
4.8%
m 1
 
4.8%
Other values (2) 2
9.5%
Decimal Number
ValueCountFrequency (%)
2 74
24.0%
1 65
21.1%
3 41
13.3%
0 31
10.1%
6 25
 
8.1%
7 19
 
6.2%
4 15
 
4.9%
8 14
 
4.5%
5 14
 
4.5%
9 10
 
3.2%
Space Separator
ValueCountFrequency (%)
259
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 866
55.9%
Common 619
40.0%
Latin 63
 
4.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 105
12.1%
성 104
12.0%
울 62
 
7.2%
서 62
 
7.2%
수 53
 
6.1%
시 52
 
6.0%
구 52
 
6.0%
별 51
 
5.9%
특 51
 
5.9%
가 45
 
5.2%
Other values (93) 229
26.4%
Latin
ValueCountFrequency (%)
A 7
 
11.1%
E 5
 
7.9%
T 5
 
7.9%
o 4
 
6.3%
e 4
 
6.3%
K 4
 
6.3%
R 3
 
4.8%
r 3
 
4.8%
M 2
 
3.2%
I 2
 
3.2%
Other values (20) 24
38.1%
Common
ValueCountFrequency (%)
259
41.8%
2 74
 
12.0%
1 65
 
10.5%
- 50
 
8.1%
3 41
 
6.6%
0 31
 
5.0%
6 25
 
4.0%
7 19
 
3.1%
4 15
 
2.4%
8 14
 
2.3%
Other values (4) 26
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 866
55.9%
ASCII 682
44.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
259
38.0%
2 74
 
10.9%
1 65
 
9.5%
- 50
 
7.3%
3 41
 
6.0%
0 31
 
4.5%
6 25
 
3.7%
7 19
 
2.8%
4 15
 
2.2%
8 14
 
2.1%
Other values (34) 89
 
13.0%
Hangul
ValueCountFrequency (%)
동 105
12.1%
성 104
12.0%
울 62
 
7.2%
서 62
 
7.2%
수 53
 
6.1%
시 52
 
6.0%
구 52
 
6.0%
별 51
 
5.9%
특 51
 
5.9%
가 45
 
5.2%
Other values (93) 229
26.4%

도로명주소
Text

Distinct49
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Memory size540.0 B
2024-05-11T14:22:46.892845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length46
Mean length41.921569
Min length27

Characters and Unicode

Total characters2138
Distinct characters162
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

Unique47 ?
Unique (%)92.2%

Sample

1st row서울특별시 성동구 아차산로 77, A동 (성수동2가)
2nd row서울특별시 성동구 아차산로 77, A동 (성수동2가)
3rd row서울특별시 성동구 광나루로 228 (성수동2가,렉스모터스빌딩 9층)
4th row서울특별시 성동구 광나루로6길 35, 207호 (성수동2가, 우림 e-biz센터)
5th row서울특별시 성동구 아차산로17길 57 (성수동2가, 일신건영 휴먼테코 1102호)
ValueCountFrequency (%)
서울특별시 51
 
13.1%
성동구 51
 
13.1%
성수동2가 30
 
7.7%
성수동1가 14
 
3.6%
아차산로 11
 
2.8%
아차산로17길 6
 
1.5%
서울숲 5
 
1.3%
8층 5
 
1.3%
성수일로 4
 
1.0%
왕십리로 4
 
1.0%
Other values (154) 209
53.6%
2024-05-11T14:22:47.554890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
341
 
15.9%
성 118
 
5.5%
동 111
 
5.2%
1 99
 
4.6%
수 67
 
3.1%
, 66
 
3.1%
서 63
 
2.9%
울 63
 
2.9%
2 62
 
2.9%
( 53
 
2.5%
Other values (152) 1095
51.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1185
55.4%
Decimal Number 371
 
17.4%
Space Separator 341
 
15.9%
Other Punctuation 67
 
3.1%
Open Punctuation 53
 
2.5%
Close Punctuation 53
 
2.5%
Uppercase Letter 42
 
2.0%
Lowercase Letter 21
 
1.0%
Dash Punctuation 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 118
 
10.0%
동 111
 
9.4%
수 67
 
5.7%
서 63
 
5.3%
울 63
 
5.3%
구 52
 
4.4%
시 52
 
4.4%
별 51
 
4.3%
특 51
 
4.3%
가 49
 
4.1%
Other values (106) 508
42.9%
Uppercase Letter
ValueCountFrequency (%)
A 7
16.7%
T 5
11.9%
E 5
11.9%
K 4
9.5%
R 3
 
7.1%
L 2
 
4.8%
M 2
 
4.8%
C 2
 
4.8%
N 2
 
4.8%
I 2
 
4.8%
Other values (8) 8
19.0%
Lowercase Letter
ValueCountFrequency (%)
o 4
19.0%
e 4
19.0%
r 3
14.3%
w 2
9.5%
z 1
 
4.8%
i 1
 
4.8%
b 1
 
4.8%
t 1
 
4.8%
a 1
 
4.8%
m 1
 
4.8%
Other values (2) 2
9.5%
Decimal Number
ValueCountFrequency (%)
1 99
26.7%
2 62
16.7%
0 48
12.9%
7 38
 
10.2%
3 24
 
6.5%
8 24
 
6.5%
5 23
 
6.2%
4 20
 
5.4%
6 20
 
5.4%
9 13
 
3.5%
Other Punctuation
ValueCountFrequency (%)
, 66
98.5%
. 1
 
1.5%
Space Separator
ValueCountFrequency (%)
341
100.0%
Open Punctuation
ValueCountFrequency (%)
( 53
100.0%
Close Punctuation
ValueCountFrequency (%)
) 53
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1185
55.4%
Common 890
41.6%
Latin 63
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 118
 
10.0%
동 111
 
9.4%
수 67
 
5.7%
서 63
 
5.3%
울 63
 
5.3%
구 52
 
4.4%
시 52
 
4.4%
별 51
 
4.3%
특 51
 
4.3%
가 49
 
4.1%
Other values (106) 508
42.9%
Latin
ValueCountFrequency (%)
A 7
 
11.1%
T 5
 
7.9%
E 5
 
7.9%
K 4
 
6.3%
o 4
 
6.3%
e 4
 
6.3%
r 3
 
4.8%
R 3
 
4.8%
w 2
 
3.2%
L 2
 
3.2%
Other values (20) 24
38.1%
Common
ValueCountFrequency (%)
341
38.3%
1 99
 
11.1%
, 66
 
7.4%
2 62
 
7.0%
( 53
 
6.0%
) 53
 
6.0%
0 48
 
5.4%
7 38
 
4.3%
3 24
 
2.7%
8 24
 
2.7%
Other values (6) 82
 
9.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1185
55.4%
ASCII 953
44.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
341
35.8%
1 99
 
10.4%
, 66
 
6.9%
2 62
 
6.5%
( 53
 
5.6%
) 53
 
5.6%
0 48
 
5.0%
7 38
 
4.0%
3 24
 
2.5%
8 24
 
2.5%
Other values (36) 145
15.2%
Hangul
ValueCountFrequency (%)
성 118
 
10.0%
동 111
 
9.4%
수 67
 
5.7%
서 63
 
5.3%
울 63
 
5.3%
구 52
 
4.4%
시 52
 
4.4%
별 51
 
4.3%
특 51
 
4.3%
가 49
 
4.1%
Other values (106) 508
42.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)44.0%
Missing1
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean7366.32
Minimum4701
Maximum133832
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2024-05-11T14:22:47.763437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4701
5-th percentile4765.7
Q14780.5
median4789.5
Q34796.5
95-th percentile4808
Maximum133832
Range129131
Interquartile range (IQR)16

Descriptive statistics

Standard deviation18249.957
Coefficient of variation (CV)2.4774863
Kurtosis49.999882
Mean7366.32
Median Absolute Deviation (MAD)7.5
Skewness7.0710555
Sum368316
Variance3.3306093 × 108
MonotonicityNot monotonic
2024-05-11T14:22:47.983256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
4799 6
 
11.8%
4780 5
 
9.8%
4790 4
 
7.8%
4784 4
 
7.8%
4782 3
 
5.9%
4794 3
 
5.9%
4808 3
 
5.9%
4793 2
 
3.9%
4778 2
 
3.9%
4789 2
 
3.9%
Other values (12) 16
31.4%
ValueCountFrequency (%)
4701 1
 
2.0%
4707 1
 
2.0%
4763 1
 
2.0%
4769 1
 
2.0%
4778 2
 
3.9%
4779 2
 
3.9%
4780 5
9.8%
4782 3
5.9%
4783 2
 
3.9%
4784 4
7.8%
ValueCountFrequency (%)
133832 1
 
2.0%
4808 3
5.9%
4799 6
11.8%
4798 1
 
2.0%
4797 2
 
3.9%
4795 2
 
3.9%
4794 3
5.9%
4793 2
 
3.9%
4791 1
 
2.0%
4790 4
7.8%

사업장명
Text

Distinct49
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Memory size540.0 B
2024-05-11T14:22:48.322336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length8.8235294
Min length2

Characters and Unicode

Total characters450
Distinct characters113
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)92.2%

Sample

1st row(주)에이엔에이컴퍼니
2nd row(주)에이엔에이컴퍼니
3rd row(주)퍼스트커뮤니케이션즈
4th row(주)제이미디어씨엔엠
5th row주식회사 유아이엠워커스
ValueCountFrequency (%)
주식회사 14
 
21.5%
더홀릭스 2
 
3.1%
주)에이엔에이컴퍼니 2
 
3.1%
어셈블 1
 
1.5%
주)수마켓팅커뮤니케이션 1
 
1.5%
에이컴즈 1
 
1.5%
주)에스엠컬처앤콘텐츠 1
 
1.5%
아토즈소프트 1
 
1.5%
주)포커스인터내셔날 1
 
1.5%
굿포유 1
 
1.5%
Other values (40) 40
61.5%
2024-05-11T14:22:48.856917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 47
 
10.4%
( 32
 
7.1%
) 32
 
7.1%
이 25
 
5.6%
스 16
 
3.6%
회 15
 
3.3%
사 15
 
3.3%
식 15
 
3.3%
14
 
3.1%
컴 12
 
2.7%
Other values (103) 227
50.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 372
82.7%
Open Punctuation 32
 
7.1%
Close Punctuation 32
 
7.1%
Space Separator 14
 
3.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 47
 
12.6%
이 25
 
6.7%
스 16
 
4.3%
회 15
 
4.0%
사 15
 
4.0%
식 15
 
4.0%
컴 12
 
3.2%
엠 9
 
2.4%
트 7
 
1.9%
에 7
 
1.9%
Other values (100) 204
54.8%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Space Separator
ValueCountFrequency (%)
14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 372
82.7%
Common 78
 
17.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 47
 
12.6%
이 25
 
6.7%
스 16
 
4.3%
회 15
 
4.0%
사 15
 
4.0%
식 15
 
4.0%
컴 12
 
3.2%
엠 9
 
2.4%
트 7
 
1.9%
에 7
 
1.9%
Other values (100) 204
54.8%
Common
ValueCountFrequency (%)
( 32
41.0%
) 32
41.0%
14
17.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 372
82.7%
ASCII 78
 
17.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 47
 
12.6%
이 25
 
6.7%
스 16
 
4.3%
회 15
 
4.0%
사 15
 
4.0%
식 15
 
4.0%
컴 12
 
3.2%
엠 9
 
2.4%
트 7
 
1.9%
에 7
 
1.9%
Other values (100) 204
54.8%
ASCII
ValueCountFrequency (%)
( 32
41.0%
) 32
41.0%
14
17.9%

최종수정일자
Date

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
Minimum2013-05-10 11:37:02
Maximum2024-04-17 09:01:00
2024-05-11T14:22:49.379186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:22:49.627720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
I
34 
U
17 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 34
66.7%
U 17
33.3%

Length

2024-05-11T14:22:49.858316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:49.993881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 34
66.7%
u 17
33.3%

데이터갱신일자
Date

Distinct38
Distinct (%)74.5%
Missing0
Missing (%)0.0%
Memory size540.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:09:00
2024-05-11T14:22:50.162454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:22:50.371707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

좌표정보(X)
Real number (ℝ)

Distinct39
Distinct (%)76.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean204736.51
Minimum202372.91
Maximum205773.88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2024-05-11T14:22:50.563551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum202372.91
5-th percentile203865.5
Q1204334.46
median204827.43
Q3205074.95
95-th percentile205753.25
Maximum205773.88
Range3400.9647
Interquartile range (IQR)740.4886

Descriptive statistics

Standard deviation703.18198
Coefficient of variation (CV)0.0034345704
Kurtosis2.2795771
Mean204736.51
Median Absolute Deviation (MAD)421.53465
Skewness-1.0323657
Sum10441562
Variance494464.89
MonotonicityNot monotonic
2024-05-11T14:22:50.753354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
205527.887051222 3
 
5.9%
205753.250469411 3
 
5.9%
204654.52804316 3
 
5.9%
204622.439273421 2
 
3.9%
205638.676388032 2
 
3.9%
203994.658040173 2
 
3.9%
205039.907145725 2
 
3.9%
204859.957619335 2
 
3.9%
205017.80397014 2
 
3.9%
205323.968609483 1
 
2.0%
Other values (29) 29
56.9%
ValueCountFrequency (%)
202372.912023599 1
2.0%
202674.875186395 1
2.0%
203806.203689412 1
2.0%
203924.802039313 1
2.0%
203994.658040173 2
3.9%
204045.693798821 1
2.0%
204108.263654233 1
2.0%
204182.214525646 1
2.0%
204213.931288501 1
2.0%
204229.703739897 1
2.0%
ValueCountFrequency (%)
205773.876761108 1
 
2.0%
205753.250469411 3
5.9%
205638.676388032 2
3.9%
205527.887051222 3
5.9%
205525.616970821 1
 
2.0%
205323.968609483 1
 
2.0%
205167.535545926 1
 
2.0%
205076.420527132 1
 
2.0%
205073.47604441 1
 
2.0%
205039.907145725 2
3.9%

좌표정보(Y)
Real number (ℝ)

Distinct39
Distinct (%)76.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean449438.57
Minimum448659.77
Maximum451536.68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2024-05-11T14:22:50.961086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448659.77
5-th percentile448803.27
Q1449021.04
median449277.48
Q3449552.05
95-th percentile451002.81
Maximum451536.68
Range2876.9135
Interquartile range (IQR)531.01186

Descriptive statistics

Standard deviation680.49953
Coefficient of variation (CV)0.0015141102
Kurtosis2.5602205
Mean449438.57
Median Absolute Deviation (MAD)274.56571
Skewness1.7233981
Sum22921367
Variance463079.61
MonotonicityNot monotonic
2024-05-11T14:22:51.147913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
451002.807624223 3
 
5.9%
449482.033814702 3
 
5.9%
448814.828260367 3
 
5.9%
449277.483738592 2
 
3.9%
449369.788095658 2
 
3.9%
449552.049448345 2
 
3.9%
449216.223655036 2
 
3.9%
449199.388104109 2
 
3.9%
448809.029851555 2
 
3.9%
449023.939543838 1
 
2.0%
Other values (29) 29
56.9%
ValueCountFrequency (%)
448659.767345547 1
 
2.0%
448701.40145153 1
 
2.0%
448797.51637505 1
 
2.0%
448809.029851555 2
3.9%
448814.828260367 3
5.9%
448887.796067656 1
 
2.0%
448916.364644043 1
 
2.0%
448920.682564138 1
 
2.0%
448934.858771073 1
 
2.0%
449018.135624378 1
 
2.0%
ValueCountFrequency (%)
451536.680876573 1
 
2.0%
451352.21270991 1
 
2.0%
451002.807624223 3
5.9%
450598.470063263 1
 
2.0%
449903.034291997 1
 
2.0%
449717.580219776 1
 
2.0%
449684.895305153 1
 
2.0%
449681.958957821 1
 
2.0%
449600.71199175 1
 
2.0%
449579.219264753 1
 
2.0%

문화체육업종명
Categorical

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
국제회의기획업
34 
<NA>
17 

Length

Max length7
Median length7
Mean length6
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국제회의기획업 34
66.7%
<NA> 17
33.3%

Length

2024-05-11T14:22:51.345979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:51.528646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국제회의기획업 34
66.7%
na 17
33.3%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
48 
관광사업
 
3

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 48
94.1%
관광사업 3
 
5.9%

Length

2024-05-11T14:22:51.688408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:51.831098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 48
94.1%
관광사업 3
 
5.9%

지역구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
48 
주거지역
 
3

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 48
94.1%
주거지역 3
 
5.9%

Length

2024-05-11T14:22:51.995130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:52.129421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 48
94.1%
주거지역 3
 
5.9%

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
46 
0
5 

Length

Max length4
Median length4
Mean length3.7058824
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> 46
90.2%
0 5
 
9.8%

Length

2024-05-11T14:22:52.286702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:52.448757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 46
90.2%
0 5
 
9.8%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing49
Missing (%)96.1%
Memory size540.0 B
2024-05-11T14:22:52.547040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters4
Distinct characters2
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

Unique0 ?
Unique (%)0.0%

Sample

1st row기타
2nd row기타
ValueCountFrequency (%)
기타 2
100.0%
2024-05-11T14:22:52.847773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 2
50.0%
타 2
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 2
50.0%
타 2
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 2
50.0%
타 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 2
50.0%
타 2
50.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

보험기관명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing50
Missing (%)98.0%
Memory size540.0 B
2024-05-11T14:22:53.094649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters18
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
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 row서울보증보험주식회사(2000만원)
ValueCountFrequency (%)
서울보증보험주식회사(2000만원 1
100.0%
2024-05-11T14:22:53.534986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3
16.7%
보 2
 
11.1%
서 1
 
5.6%
울 1
 
5.6%
증 1
 
5.6%
험 1
 
5.6%
주 1
 
5.6%
식 1
 
5.6%
회 1
 
5.6%
사 1
 
5.6%
Other values (5) 5
27.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12
66.7%
Decimal Number 4
 
22.2%
Open Punctuation 1
 
5.6%
Close Punctuation 1
 
5.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
보 2
16.7%
서 1
8.3%
울 1
8.3%
증 1
8.3%
험 1
8.3%
주 1
8.3%
식 1
8.3%
회 1
8.3%
사 1
8.3%
만 1
8.3%
Decimal Number
ValueCountFrequency (%)
0 3
75.0%
2 1
 
25.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12
66.7%
Common 6
33.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
보 2
16.7%
서 1
8.3%
울 1
8.3%
증 1
8.3%
험 1
8.3%
주 1
8.3%
식 1
8.3%
회 1
8.3%
사 1
8.3%
만 1
8.3%
Common
ValueCountFrequency (%)
0 3
50.0%
( 1
 
16.7%
2 1
 
16.7%
) 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12
66.7%
ASCII 6
33.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3
50.0%
( 1
 
16.7%
2 1
 
16.7%
) 1
 
16.7%
Hangul
ValueCountFrequency (%)
보 2
16.7%
서 1
8.3%
울 1
8.3%
증 1
8.3%
험 1
8.3%
주 1
8.3%
식 1
8.3%
회 1
8.3%
사 1
8.3%
만 1
8.3%

건물용도명
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
47 
사무실
 
4

Length

Max length4
Median length4
Mean length3.9215686
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 47
92.2%
사무실 4
 
7.8%

Length

2024-05-11T14:22:53.751458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:53.860051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 47
92.2%
사무실 4
 
7.8%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
46 
0
5 

Length

Max length4
Median length4
Mean length3.7058824
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> 46
90.2%
0 5
 
9.8%

Length

2024-05-11T14:22:54.011022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:54.157286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 46
90.2%
0 5
 
9.8%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
45 
0
5 
1
 
1

Length

Max length4
Median length4
Mean length3.6470588
Min length1

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 45
88.2%
0 5
 
9.8%
1 1
 
2.0%

Length

2024-05-11T14:22:54.293462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:54.442595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
88.2%
0 5
 
9.8%
1 1
 
2.0%

객실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
46 
0
5 

Length

Max length4
Median length4
Mean length3.7058824
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> 46
90.2%
0 5
 
9.8%

Length

2024-05-11T14:22:54.633490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:54.784853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 46
90.2%
0 5
 
9.8%

건축연면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
46 
0
5 

Length

Max length4
Median length4
Mean length3.7058824
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> 46
90.2%
0 5
 
9.8%

Length

2024-05-11T14:22:54.993499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:55.175462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 46
90.2%
0 5
 
9.8%

영문상호명
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing48
Missing (%)94.1%
Memory size540.0 B
2024-05-11T14:22:55.419882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length20
Mean length22
Min length18

Characters and Unicode

Total characters66
Distinct characters26
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

Unique3 ?
Unique (%)100.0%

Sample

1st rowTHE WELCOME CO.,LTD.
2nd rowThe Wise Co., Ltd.
3rd rowSangSang Promotion Co., Ltd.
ValueCountFrequency (%)
the 2
18.2%
co 2
18.2%
ltd 2
18.2%
welcome 1
9.1%
co.,ltd 1
9.1%
wise 1
9.1%
sangsang 1
9.1%
promotion 1
9.1%
2024-05-11T14:22:55.884501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8
 
12.1%
. 6
 
9.1%
o 5
 
7.6%
L 4
 
6.1%
C 4
 
6.1%
T 3
 
4.5%
E 3
 
4.5%
n 3
 
4.5%
, 3
 
4.5%
t 3
 
4.5%
Other values (16) 24
36.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 25
37.9%
Uppercase Letter 24
36.4%
Other Punctuation 9
 
13.6%
Space Separator 8
 
12.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 5
20.0%
n 3
12.0%
t 3
12.0%
g 2
 
8.0%
a 2
 
8.0%
d 2
 
8.0%
e 2
 
8.0%
i 2
 
8.0%
s 1
 
4.0%
h 1
 
4.0%
Other values (2) 2
 
8.0%
Uppercase Letter
ValueCountFrequency (%)
L 4
16.7%
C 4
16.7%
T 3
12.5%
E 3
12.5%
S 2
8.3%
O 2
8.3%
W 2
8.3%
H 1
 
4.2%
D 1
 
4.2%
M 1
 
4.2%
Other Punctuation
ValueCountFrequency (%)
. 6
66.7%
, 3
33.3%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 49
74.2%
Common 17
 
25.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 5
 
10.2%
L 4
 
8.2%
C 4
 
8.2%
T 3
 
6.1%
E 3
 
6.1%
n 3
 
6.1%
t 3
 
6.1%
g 2
 
4.1%
a 2
 
4.1%
S 2
 
4.1%
Other values (13) 18
36.7%
Common
ValueCountFrequency (%)
8
47.1%
. 6
35.3%
, 3
 
17.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 66
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8
 
12.1%
. 6
 
9.1%
o 5
 
7.6%
L 4
 
6.1%
C 4
 
6.1%
T 3
 
4.5%
E 3
 
4.5%
n 3
 
4.5%
, 3
 
4.5%
t 3
 
4.5%
Other values (16) 24
36.4%

영문상호주소
Text

MISSING 

Distinct2
Distinct (%)66.7%
Missing48
Missing (%)94.1%
Memory size540.0 B
2024-05-11T14:22:56.092187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length31
Mean length31
Min length31

Characters and Unicode

Total characters93
Distinct characters25
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 (%)33.3%

Sample

1st rowPROFESSIONAL CONGRESS ORGANIZER
2nd rowProfessional Congress Organizer
3rd rowProfessional Congress Organizer
ValueCountFrequency (%)
professional 3
33.3%
congress 3
33.3%
organizer 3
33.3%
2024-05-11T14:22:56.493762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
s 8
 
8.6%
r 8
 
8.6%
o 6
 
6.5%
e 6
 
6.5%
n 6
 
6.5%
6
 
6.5%
O 6
 
6.5%
g 4
 
4.3%
R 4
 
4.3%
i 4
 
4.3%
Other values (15) 35
37.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 52
55.9%
Uppercase Letter 35
37.6%
Space Separator 6
 
6.5%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
O 6
17.1%
R 4
11.4%
S 4
11.4%
N 3
8.6%
E 3
8.6%
P 3
8.6%
C 3
8.6%
I 2
 
5.7%
A 2
 
5.7%
G 2
 
5.7%
Other values (3) 3
8.6%
Lowercase Letter
ValueCountFrequency (%)
s 8
15.4%
r 8
15.4%
o 6
11.5%
e 6
11.5%
n 6
11.5%
g 4
7.7%
i 4
7.7%
a 4
7.7%
z 2
 
3.8%
l 2
 
3.8%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 87
93.5%
Common 6
 
6.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
s 8
 
9.2%
r 8
 
9.2%
o 6
 
6.9%
e 6
 
6.9%
n 6
 
6.9%
O 6
 
6.9%
g 4
 
4.6%
R 4
 
4.6%
i 4
 
4.6%
a 4
 
4.6%
Other values (14) 31
35.6%
Common
ValueCountFrequency (%)
6
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 93
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
s 8
 
8.6%
r 8
 
8.6%
o 6
 
6.5%
e 6
 
6.5%
n 6
 
6.5%
6
 
6.5%
O 6
 
6.5%
g 4
 
4.3%
R 4
 
4.3%
i 4
 
4.3%
Other values (15) 35
37.6%

선박총톤수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
46 
0
5 

Length

Max length4
Median length4
Mean length3.7058824
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> 46
90.2%
0 5
 
9.8%

Length

2024-05-11T14:22:56.704819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:56.896446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 46
90.2%
0 5
 
9.8%

선박척수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
46 
0
5 

Length

Max length4
Median length4
Mean length3.7058824
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> 46
90.2%
0 5
 
9.8%

Length

2024-05-11T14:22:57.078164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:57.263424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 46
90.2%
0 5
 
9.8%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

무대면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
46 
0
5 

Length

Max length4
Median length4
Mean length3.7058824
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> 46
90.2%
0 5
 
9.8%

Length

2024-05-11T14:22:57.456115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:57.623898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 46
90.2%
0 5
 
9.8%

좌석수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
46 
0
5 

Length

Max length4
Median length4
Mean length3.7058824
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> 46
90.2%
0 5
 
9.8%

Length

2024-05-11T14:22:57.771030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:57.904788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 46
90.2%
0 5
 
9.8%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

회의실별동시수용인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
46 
0
5 

Length

Max length4
Median length4
Mean length3.7058824
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> 46
90.2%
0 5
 
9.8%

Length

2024-05-11T14:22:58.063592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:58.201503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 46
90.2%
0 5
 
9.8%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)54.5%
Missing40
Missing (%)78.4%
Infinite0
Infinite (%)0.0%
Mean125.33455
Minimum0
Maximum330.6
Zeros5
Zeros (%)9.8%
Negative0
Negative (%)0.0%
Memory size591.0 B
2024-05-11T14:22:58.313402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median60
Q3248.74
95-th percentile330.6
Maximum330.6
Range330.6
Interquartile range (IQR)248.74

Descriptive statistics

Standard deviation144.70983
Coefficient of variation (CV)1.1545885
Kurtosis-1.5329463
Mean125.33455
Median Absolute Deviation (MAD)60
Skewness0.60194565
Sum1378.68
Variance20940.935
MonotonicityNot monotonic
2024-05-11T14:22:58.473537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.0 5
 
9.8%
330.6 2
 
3.9%
175.7 1
 
2.0%
321.78 1
 
2.0%
60.0 1
 
2.0%
160.0 1
 
2.0%
(Missing) 40
78.4%
ValueCountFrequency (%)
0.0 5
9.8%
60.0 1
 
2.0%
160.0 1
 
2.0%
175.7 1
 
2.0%
321.78 1
 
2.0%
330.6 2
 
3.9%
ValueCountFrequency (%)
330.6 2
 
3.9%
321.78 1
 
2.0%
175.7 1
 
2.0%
160.0 1
 
2.0%
60.0 1
 
2.0%
0.0 5
9.8%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

놀이시설수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
46 
0
5 

Length

Max length4
Median length4
Mean length3.7058824
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> 46
90.2%
0 5
 
9.8%

Length

2024-05-11T14:22:58.648108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:58.818115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 46
90.2%
0 5
 
9.8%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct18
Distinct (%)72.0%
Missing26
Missing (%)51.0%
Infinite0
Infinite (%)0.0%
Mean1.9795277 × 108
Minimum0
Maximum6 × 108
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2024-05-11T14:22:58.954313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile50000000
Q197546286
median1.54 × 108
Q32.2 × 108
95-th percentile4.9817428 × 108
Maximum6 × 108
Range6 × 108
Interquartile range (IQR)1.2245371 × 108

Descriptive statistics

Standard deviation1.6575029 × 108
Coefficient of variation (CV)0.83732237
Kurtosis0.35750742
Mean1.9795277 × 108
Median Absolute Deviation (MAD)66000000
Skewness1.1628475
Sum4.9488193 × 109
Variance2.7473157 × 1016
MonotonicityNot monotonic
2024-05-11T14:22:59.155368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
100000000 5
 
9.8%
200000000 3
 
5.9%
50000000 2
 
3.9%
480000000 1
 
2.0%
56000000 1
 
2.0%
490871416 1
 
2.0%
360000000 1
 
2.0%
154000000 1
 
2.0%
300000000 1
 
2.0%
0 1
 
2.0%
Other values (8) 8
 
15.7%
(Missing) 26
51.0%
ValueCountFrequency (%)
0 1
 
2.0%
50000000 2
 
3.9%
52000000 1
 
2.0%
56000000 1
 
2.0%
62360000 1
 
2.0%
97546286 1
 
2.0%
100000000 5
9.8%
154000000 1
 
2.0%
166000000 1
 
2.0%
200000000 3
5.9%
ValueCountFrequency (%)
600000000 1
 
2.0%
500000000 1
 
2.0%
490871416 1
 
2.0%
480000000 1
 
2.0%
360000000 1
 
2.0%
300000000 1
 
2.0%
220000000 1
 
2.0%
210041618 1
 
2.0%
200000000 3
5.9%
166000000 1
 
2.0%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)54.5%
Missing40
Missing (%)78.4%
Infinite0
Infinite (%)0.0%
Mean125.45455
Minimum0
Maximum331
Zeros5
Zeros (%)9.8%
Negative0
Negative (%)0.0%
Memory size591.0 B
2024-05-11T14:22:59.319263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median60
Q3249
95-th percentile331
Maximum331
Range331
Interquartile range (IQR)249

Descriptive statistics

Standard deviation144.86363
Coefficient of variation (CV)1.1547101
Kurtosis-1.5327129
Mean125.45455
Median Absolute Deviation (MAD)60
Skewness0.60218396
Sum1380
Variance20985.473
MonotonicityNot monotonic
2024-05-11T14:22:59.462821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 5
 
9.8%
331 2
 
3.9%
176 1
 
2.0%
322 1
 
2.0%
60 1
 
2.0%
160 1
 
2.0%
(Missing) 40
78.4%
ValueCountFrequency (%)
0 5
9.8%
60 1
 
2.0%
160 1
 
2.0%
176 1
 
2.0%
322 1
 
2.0%
331 2
 
3.9%
ValueCountFrequency (%)
331 2
 
3.9%
322 1
 
2.0%
176 1
 
2.0%
160 1
 
2.0%
60 1
 
2.0%
0 5
9.8%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03030000CDFI226310200900000120090319<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>133834서울특별시 성동구 성수동2가 300-68 A동서울특별시 성동구 아차산로 77, A동 (성수동2가)4793(주)에이엔에이컴퍼니2014-01-06 10:45:50I2018-08-31 23:59:59.0<NA>204622.439273449277.483739국제회의기획업<NA>주거지역<NA>기타<NA><NA>사무실<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>330.6<NA><NA><NA><NA><NA><NA><NA><NA>200000000<NA><NA><NA>331
13030000CDFI226310200900000220090331<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>133834서울특별시 성동구 성수동2가 300-68 A동서울특별시 성동구 아차산로 77, A동 (성수동2가)4793(주)에이엔에이컴퍼니2014-01-06 10:47:06I2018-08-31 23:59:59.0<NA>204622.439273449277.483739국제회의기획업<NA>주거지역<NA><NA><NA><NA>사무실<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>330.6<NA><NA><NA><NA><NA><NA><NA><NA>200000000<NA><NA><NA>331
23030000CDFI226310201100000120090525<NA>3폐업3폐업20131121<NA><NA><NA>02)508-8591<NA>133833서울특별시 성동구 성수동2가 299-24 렉스모터스빌딩 9층서울특별시 성동구 광나루로 228 (성수동2가,렉스모터스빌딩 9층)<NA>(주)퍼스트커뮤니케이션즈2013-11-25 15:11:11I2018-08-31 23:59:59.0<NA>204795.929496449684.895305국제회의기획업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33030000CDFI226310201100000220111227<NA>3폐업3폐업20160323<NA><NA><NA><NA><NA>133832서울특별시 성동구 성수동2가 280-21 우림 e-biz센터 207호서울특별시 성동구 광나루로6길 35, 207호 (성수동2가, 우림 e-biz센터)4799(주)제이미디어씨엔엠2016-03-23 16:20:37I2018-08-31 23:59:59.0<NA>205525.616971449394.284127국제회의기획업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>100000000<NA><NA><NA><NA>
43030000CDFI226310201300000120130116<NA>3폐업3폐업20141105<NA><NA><NA><NA><NA>133832서울특별시 성동구 성수동2가 281-16 일신건영 휴먼테코 1102호서울특별시 성동구 아차산로17길 57 (성수동2가, 일신건영 휴먼테코 1102호)133832주식회사 유아이엠워커스2014-11-05 14:12:00I2018-08-31 23:59:59.0<NA>205753.250469449482.033815국제회의기획업<NA><NA><NA><NA><NA><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>
53030000CDFI226310201300000320130510<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>133120서울특별시 성동구 성수동2가 333-140 서울숲코오롱디지털타워2차 904서울특별시 성동구 성수이로7길 27 (성수동2가, 서울숲코오롱디지털타워2차 904)4780(주)한국콤파스2013-05-10 11:37:02I2018-08-31 23:59:59.0<NA>204654.528043448814.82826국제회의기획업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63030000CDFI226310201300000420130819<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>133111서울특별시 성동구 성수동1가 27-2 4층서울특별시 성동구 성수일로4길 10 (성수동1가, 4층(성수동1가))4780(주)이렌컴2013-08-19 14:15:35I2018-08-31 23:59:59.0<NA>204329.289271448916.364644국제회의기획업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73030000CDFI226310201300000520050310<NA>1영업/정상13영업중<NA><NA><NA><NA>3445-7775<NA>133832서울특별시 성동구 성수동2가 281-16 휴먼테코 701호서울특별시 성동구 아차산로17길 57 (성수동2가)4799(주)중앙전람2013-09-23 10:09:46I2018-08-31 23:59:59.0<NA>205753.250469449482.033815국제회의기획업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83030000CDFI226310201400000120140123<NA>1영업/정상13영업중<NA><NA><NA><NA>070-8015-0629<NA>133120서울특별시 성동구 성수동2가 300-1 삼진빌딩서울특별시 성동구 아차산로 113, 8층 (성수동2가, 삼진빌딩)4794올인2014-01-23 08:58:58I2018-08-31 23:59:59.0<NA>204966.098616449159.45278국제회의기획업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93030000CDFI226310201500000120150427<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2220-4886<NA>133791서울특별시 성동구 사근동 110 한양종합기술연구원 313호서울특별시 성동구 왕십리로 222, 313호 (사근동, 한양종합기술연구원)4763주식회사 투어플랫폼2015-07-16 14:03:40I2018-08-31 23:59:59.0<NA>204108.263654450598.470063국제회의기획업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>480000000<NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
413030000CDFI22631020220000032022-03-17<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동1가 656-766 개풍빌딩서울특별시 성동구 아차산로 38, 개풍빌딩 2층 201호 (성수동1가)4779마이스터씨앤엠 주식회사2023-10-16 17:40:47U2022-10-30 23:08:00.0<NA>204213.931289449363.057037<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
423030000CDFI226310202200000420140424<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동1가 13-209서울특별시 성동구 상원12길 34, 서울숲에이원센터 8층 811호 (성수동1가)4790(주)상상프로모션2022-03-21 15:19:32I2022-03-23 00:22:45.0<NA>204405.898397449717.58022국제회의기획업<NA><NA>0<NA><NA><NA><NA>0000SangSang Promotion Co., Ltd.Professional Congress Organizer00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>100000000<NA><NA><NA>0
433030000CDFI226310202200000520130925<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2038-8975<NA><NA>서울특별시 성동구 성수동2가 280 성수 SK V1 CENTER I서울특별시 성동구 아차산로17길 48, 성수 SK V1 CENTER I 512,513호 (성수동2가)4799오프너디오씨주식회사2022-04-14 16:35:28I2021-12-03 23:05:00.0<NA>205773.876761449380.832286<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
443030000CDFI226310202200000620220419<NA>1영업/정상13영업중<NA><NA><NA><NA>02-725-5535<NA><NA>서울특별시 성동구 성수동2가 322-1 성수 AK 밸리서울특별시 성동구 연무장길 76, 성수 AK 밸리 706호 (성수동2가)4784(주)유앤아이컴2022-04-19 19:08:40I2021-12-03 22:01:00.0<NA>205017.80397448809.029852<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
453030000CDFI22631020220000072021-02-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동2가 314-13 성수역 현대테라스타워서울특별시 성동구 연무장5가길 7, 성수역 현대테라스타워 6층 610호, 611호 (성수동2가)4782주식회사 필릭플랜2024-02-16 15:19:00U2023-12-01 23:08:00.0<NA>204669.766219449087.756734<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
463030000CDFI22631020220000082022-07-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동2가 315-71 스탈릿성수서울특별시 성동구 아차산로 104, 스탈릿성수 8층 816호 (성수동2가)4782어셈블2023-07-20 18:08:54U2022-12-06 22:02:00.0<NA>204827.433052449134.994666<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
473030000CDFI226310202200000920181016<NA>1영업/정상13영업중<NA><NA><NA><NA>02-550-5718<NA><NA>서울특별시 성동구 성수동2가 289-5 대선 APEX CENTER서울특별시 성동구 아차산로7나길 18, 대선 APEX CENTER 3층 305호 (성수동2가)4795(주)트레이2022-12-07 22:33:29I2021-11-02 00:09:00.0<NA>205005.412996449496.502512<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
483030000CDFI22631020230000012023-01-17<NA>5제외/삭제/전출15전출2024-01-02<NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동2가 280-6 생각공장데시앙플렉스서울특별시 성동구 아차산로17길 49, 생각공장데시앙플렉스 10층 1009호 (성수동2가)4799주식회사 에이컴즈2024-01-02 09:26:35U2023-12-01 00:04:00.0<NA>205638.676388449369.788096<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
493030000CDFI22631020230000022014-07-24<NA>1영업/정상13영업중<NA><NA><NA><NA>0264189433<NA><NA>서울특별시 성동구 용답동 232-1 신창비바패밀리서울특별시 성동구 천호대로 400, 1층 101호 (용답동, 신창비바패밀리)4808주식회사 더홀릭스2023-03-07 10:19:48I2022-12-03 00:09:00.0<NA>205527.887051451002.807624<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
503030000CDFI22631020240000012024-04-17<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2088-6363<NA><NA>서울특별시 성동구 성수동1가 656-3 FORHU서울특별시 성동구 왕십리로 58, FORHU 8층 813호 (성수동1가)4778주식회사 코드림2024-04-17 09:01:00I2023-12-03 23:09:00.0<NA>203924.802039448934.858771<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>