Overview

Dataset statistics

Number of variables60
Number of observations88
Missing cells2153
Missing cells (%)40.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory44.7 KiB
Average record size in memory520.5 B

Variable types

Categorical21
Text8
DateTime4
Numeric11
Unsupported16

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
Author강동구
URLhttps://data.seoul.go.kr/dataList/OA-17576/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (91.0%)Imbalance
상세영업상태명 is highly imbalanced (51.9%)Imbalance
주변환경명 is highly imbalanced (68.5%)Imbalance
건물용도명 is highly imbalanced (61.5%)Imbalance
지하층수 is highly imbalanced (69.3%)Imbalance
객실수 is highly imbalanced (84.4%)Imbalance
건축연면적 is highly imbalanced (84.4%)Imbalance
영문상호주소 is highly imbalanced (77.6%)Imbalance
선박총톤수 is highly imbalanced (84.4%)Imbalance
선박척수 is highly imbalanced (84.4%)Imbalance
무대면적 is highly imbalanced (84.4%)Imbalance
좌석수 is highly imbalanced (84.4%)Imbalance
회의실별동시수용인원 is highly imbalanced (84.4%)Imbalance
놀이시설수 is highly imbalanced (84.4%)Imbalance
폐업일자 has 27 (30.7%) missing valuesMissing
휴업시작일자 has 88 (100.0%) missing valuesMissing
휴업종료일자 has 88 (100.0%) missing valuesMissing
재개업일자 has 88 (100.0%) missing valuesMissing
전화번호 has 44 (50.0%) missing valuesMissing
소재지면적 has 88 (100.0%) missing valuesMissing
소재지우편번호 has 33 (37.5%) missing valuesMissing
도로명주소 has 8 (9.1%) missing valuesMissing
도로명우편번호 has 39 (44.3%) missing valuesMissing
업태구분명 has 88 (100.0%) missing valuesMissing
좌표정보(X) has 5 (5.7%) missing valuesMissing
좌표정보(Y) has 5 (5.7%) missing valuesMissing
지역구분명 has 84 (95.5%) missing valuesMissing
총층수 has 77 (87.5%) missing valuesMissing
제작취급품목내용 has 88 (100.0%) missing valuesMissing
지상층수 has 76 (86.4%) missing valuesMissing
영문상호명 has 82 (93.2%) missing valuesMissing
선박제원 has 88 (100.0%) missing valuesMissing
기념품종류 has 88 (100.0%) missing valuesMissing
시설면적 has 68 (77.3%) missing valuesMissing
놀이기구수내역 has 88 (100.0%) missing valuesMissing
방송시설유무 has 88 (100.0%) missing valuesMissing
발전시설유무 has 88 (100.0%) missing valuesMissing
의무실유무 has 88 (100.0%) missing valuesMissing
안내소유무 has 88 (100.0%) missing valuesMissing
기획여행보험시작일자 has 88 (100.0%) missing valuesMissing
기획여행보험종료일자 has 88 (100.0%) missing valuesMissing
자본금 has 37 (42.0%) missing valuesMissing
보험시작일자 has 46 (52.3%) missing valuesMissing
보험종료일자 has 46 (52.3%) missing valuesMissing
부대시설내역 has 88 (100.0%) missing valuesMissing
시설규모 has 68 (77.3%) missing valuesMissing
관리번호 has unique valuesUnique
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
총층수 has 5 (5.7%) zerosZeros
지상층수 has 5 (5.7%) zerosZeros
시설면적 has 9 (10.2%) zerosZeros
자본금 has 1 (1.1%) zerosZeros
시설규모 has 9 (10.2%) zerosZeros

Reproduction

Analysis started2024-05-11 06:32:03.421660
Analysis finished2024-05-11 06:32:04.968420
Duration1.55 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size836.0 B
3240000
88 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3240000
2nd row3240000
3rd row3240000
4th row3240000
5th row3240000

Common Values

ValueCountFrequency (%)
3240000 88
100.0%

Length

2024-05-11T06:32:05.158193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:32:05.469449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3240000 88
100.0%

관리번호
Text

UNIQUE 

Distinct88
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size836.0 B
2024-05-11T06:32:05.885715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1760
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

Unique88 ?
Unique (%)100.0%

Sample

1st rowCDFI2260011983000001
2nd rowCDFI2260011991000001
3rd rowCDFI2260011993000001
4th rowCDFI2260011994000001
5th rowCDFI2260011994000002
ValueCountFrequency (%)
cdfi2260011983000001 1
 
1.1%
cdfi2260011991000001 1
 
1.1%
cdfi2260012016000003 1
 
1.1%
cdfi2260012016000002 1
 
1.1%
cdfi2260012016000001 1
 
1.1%
cdfi2260012014000003 1
 
1.1%
cdfi2260012014000002 1
 
1.1%
cdfi2260012013000012 1
 
1.1%
cdfi2260012013000009 1
 
1.1%
cdfi2260012013000008 1
 
1.1%
Other values (78) 78
88.6%
2024-05-11T06:32:06.716046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 735
41.8%
2 294
 
16.7%
1 171
 
9.7%
6 106
 
6.0%
C 88
 
5.0%
D 88
 
5.0%
F 88
 
5.0%
I 88
 
5.0%
9 26
 
1.5%
3 25
 
1.4%
Other values (4) 51
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1408
80.0%
Uppercase Letter 352
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 735
52.2%
2 294
 
20.9%
1 171
 
12.1%
6 106
 
7.5%
9 26
 
1.8%
3 25
 
1.8%
4 21
 
1.5%
8 12
 
0.9%
5 11
 
0.8%
7 7
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
C 88
25.0%
D 88
25.0%
F 88
25.0%
I 88
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1408
80.0%
Latin 352
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 735
52.2%
2 294
 
20.9%
1 171
 
12.1%
6 106
 
7.5%
9 26
 
1.8%
3 25
 
1.8%
4 21
 
1.5%
8 12
 
0.9%
5 11
 
0.8%
7 7
 
0.5%
Latin
ValueCountFrequency (%)
C 88
25.0%
D 88
25.0%
F 88
25.0%
I 88
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1760
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 735
41.8%
2 294
 
16.7%
1 171
 
9.7%
6 106
 
6.0%
C 88
 
5.0%
D 88
 
5.0%
F 88
 
5.0%
I 88
 
5.0%
9 26
 
1.5%
3 25
 
1.4%
Other values (4) 51
 
2.9%
Distinct87
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size836.0 B
Minimum1983-04-28 00:00:00
Maximum2023-01-27 00:00:00
2024-05-11T06:32:06.995723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:32:07.450167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
<NA>
87 
20091221
 
1

Length

Max length8
Median length4
Mean length4.0454545
Min length4

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 87
98.9%
20091221 1
 
1.1%

Length

2024-05-11T06:32:07.898859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:32:08.223095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 87
98.9%
20091221 1
 
1.1%
Distinct4
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size836.0 B
3
59 
1
24 
4
 
4
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
3 59
67.0%
1 24
27.3%
4 4
 
4.5%
5 1
 
1.1%

Length

2024-05-11T06:32:08.504184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:32:08.794652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 59
67.0%
1 24
27.3%
4 4
 
4.5%
5 1
 
1.1%

영업상태명
Categorical

Distinct4
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size836.0 B
폐업
59 
영업/정상
24 
취소/말소/만료/정지/중지
 
4
제외/삭제/전출
 
1

Length

Max length14
Median length2
Mean length3.4318182
Min length2

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 59
67.0%
영업/정상 24
27.3%
취소/말소/만료/정지/중지 4
 
4.5%
제외/삭제/전출 1
 
1.1%

Length

2024-05-11T06:32:09.090417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:32:09.516603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 59
67.0%
영업/정상 24
27.3%
취소/말소/만료/정지/중지 4
 
4.5%
제외/삭제/전출 1
 
1.1%

상세영업상태코드
Real number (ℝ)

Distinct6
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.1704545
Minimum3
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size924.0 B
2024-05-11T06:32:09.825544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q13
median3
Q313
95-th percentile14.3
Maximum35
Range32
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.0584124
Coefficient of variation (CV)0.98437447
Kurtosis4.6617671
Mean7.1704545
Median Absolute Deviation (MAD)0
Skewness2.0559271
Sum631
Variance49.821186
MonotonicityNot monotonic
2024-05-11T06:32:10.164823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 59
67.0%
13 24
27.3%
31 2
 
2.3%
30 1
 
1.1%
35 1
 
1.1%
15 1
 
1.1%
ValueCountFrequency (%)
3 59
67.0%
13 24
27.3%
15 1
 
1.1%
30 1
 
1.1%
31 2
 
2.3%
35 1
 
1.1%
ValueCountFrequency (%)
35 1
 
1.1%
31 2
 
2.3%
30 1
 
1.1%
15 1
 
1.1%
13 24
27.3%
3 59
67.0%

상세영업상태명
Categorical

IMBALANCE 

Distinct6
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size836.0 B
폐업
59 
영업중
24 
등록취소
 
2
허가취소
 
1
직권말소
 
1

Length

Max length4
Median length2
Mean length2.3636364
Min length2

Unique

Unique3 ?
Unique (%)3.4%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 59
67.0%
영업중 24
27.3%
등록취소 2
 
2.3%
허가취소 1
 
1.1%
직권말소 1
 
1.1%
전출 1
 
1.1%

Length

2024-05-11T06:32:10.497547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:32:10.942988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 59
67.0%
영업중 24
27.3%
등록취소 2
 
2.3%
허가취소 1
 
1.1%
직권말소 1
 
1.1%
전출 1
 
1.1%

폐업일자
Date

MISSING 

Distinct60
Distinct (%)98.4%
Missing27
Missing (%)30.7%
Memory size836.0 B
Minimum1997-10-07 00:00:00
Maximum2023-03-27 00:00:00
2024-05-11T06:32:11.457016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:32:12.126319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

전화번호
Text

MISSING 

Distinct42
Distinct (%)95.5%
Missing44
Missing (%)50.0%
Memory size836.0 B
2024-05-11T06:32:12.710571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.6590909
Min length8

Characters and Unicode

Total characters425
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

Unique41 ?
Unique (%)93.2%

Sample

1st row477-7326
2nd row225-5771
3rd row470-3322
4th row482-7456
5th row3427-5222
ValueCountFrequency (%)
070-7688-9071 3
 
6.8%
02-402-5107 1
 
2.3%
02-477-1532 1
 
2.3%
02-478-6561 1
 
2.3%
02-522-6008 1
 
2.3%
1599-9660 1
 
2.3%
6925-0710 1
 
2.3%
02-488-7993 1
 
2.3%
725-3411 1
 
2.3%
6423-5280 1
 
2.3%
Other values (32) 32
72.7%
2024-05-11T06:32:14.136397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 60
14.1%
2 53
12.5%
0 51
12.0%
7 43
10.1%
4 39
9.2%
1 35
8.2%
8 34
8.0%
6 30
7.1%
9 27
6.4%
5 27
6.4%
Other values (3) 26
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 363
85.4%
Dash Punctuation 60
 
14.1%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 53
14.6%
0 51
14.0%
7 43
11.8%
4 39
10.7%
1 35
9.6%
8 34
9.4%
6 30
8.3%
9 27
7.4%
5 27
7.4%
3 24
6.6%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 425
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 60
14.1%
2 53
12.5%
0 51
12.0%
7 43
10.1%
4 39
9.2%
1 35
8.2%
8 34
8.0%
6 30
7.1%
9 27
6.4%
5 27
6.4%
Other values (3) 26
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 425
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 60
14.1%
2 53
12.5%
0 51
12.0%
7 43
10.1%
4 39
9.2%
1 35
8.2%
8 34
8.0%
6 30
7.1%
9 27
6.4%
5 27
6.4%
Other values (3) 26
6.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

소재지우편번호
Text

MISSING 

Distinct30
Distinct (%)54.5%
Missing33
Missing (%)37.5%
Memory size836.0 B
2024-05-11T06:32:14.758814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0181818
Min length6

Characters and Unicode

Total characters331
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

Unique16 ?
Unique (%)29.1%

Sample

1st row134821
2nd row134822
3rd row134869
4th row134822
5th row134818
ValueCountFrequency (%)
134814 4
 
7.3%
134822 4
 
7.3%
134864 4
 
7.3%
134859 3
 
5.5%
134874 3
 
5.5%
134868 3
 
5.5%
134847 3
 
5.5%
134851 3
 
5.5%
134785 2
 
3.6%
134871 2
 
3.6%
Other values (20) 24
43.6%
2024-05-11T06:32:15.816555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 77
23.3%
4 75
22.7%
3 60
18.1%
8 57
17.2%
2 15
 
4.5%
7 13
 
3.9%
6 9
 
2.7%
5 9
 
2.7%
0 9
 
2.7%
9 6
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 330
99.7%
Dash Punctuation 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 77
23.3%
4 75
22.7%
3 60
18.2%
8 57
17.3%
2 15
 
4.5%
7 13
 
3.9%
6 9
 
2.7%
5 9
 
2.7%
0 9
 
2.7%
9 6
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 331
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 77
23.3%
4 75
22.7%
3 60
18.1%
8 57
17.2%
2 15
 
4.5%
7 13
 
3.9%
6 9
 
2.7%
5 9
 
2.7%
0 9
 
2.7%
9 6
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 331
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 77
23.3%
4 75
22.7%
3 60
18.1%
8 57
17.2%
2 15
 
4.5%
7 13
 
3.9%
6 9
 
2.7%
5 9
 
2.7%
0 9
 
2.7%
9 6
 
1.8%
Distinct87
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size836.0 B
2024-05-11T06:32:16.662589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length33
Mean length28.409091
Min length17

Characters and Unicode

Total characters2500
Distinct characters142
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique86 ?
Unique (%)97.7%

Sample

1st row서울특별시 강동구 둔촌동 228-9번지 미진빌딩 2층
2nd row서울특별시 강동구 둔촌동 454-1번지
3rd row서울특별시 강동구 천호동 355번지 로석B/D 308
4th row서울특별시 강동구 둔촌동 459-2번지 중부B/D 405
5th row서울특별시 강동구 둔촌동 151번지 동일B/D 401호
ValueCountFrequency (%)
서울특별시 88
18.5%
강동구 88
18.5%
천호동 32
 
6.7%
성내동 19
 
4.0%
길동 13
 
2.7%
둔촌동 9
 
1.9%
암사동 8
 
1.7%
2층 7
 
1.5%
명일동 5
 
1.1%
449-49번지 4
 
0.8%
Other values (176) 202
42.5%
2024-05-11T06:32:18.017075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
437
 
17.5%
189
 
7.6%
4 102
 
4.1%
99
 
4.0%
94
 
3.8%
1 90
 
3.6%
88
 
3.5%
88
 
3.5%
88
 
3.5%
88
 
3.5%
Other values (132) 1137
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1446
57.8%
Decimal Number 521
 
20.8%
Space Separator 437
 
17.5%
Dash Punctuation 81
 
3.2%
Uppercase Letter 9
 
0.4%
Other Punctuation 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
189
 
13.1%
99
 
6.8%
94
 
6.5%
88
 
6.1%
88
 
6.1%
88
 
6.1%
88
 
6.1%
88
 
6.1%
75
 
5.2%
58
 
4.0%
Other values (116) 491
34.0%
Decimal Number
ValueCountFrequency (%)
4 102
19.6%
1 90
17.3%
3 59
11.3%
2 58
11.1%
0 56
10.7%
5 54
10.4%
9 32
 
6.1%
6 29
 
5.6%
7 23
 
4.4%
8 18
 
3.5%
Uppercase Letter
ValueCountFrequency (%)
B 5
55.6%
D 4
44.4%
Other Punctuation
ValueCountFrequency (%)
/ 4
66.7%
, 2
33.3%
Space Separator
ValueCountFrequency (%)
437
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 81
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1446
57.8%
Common 1045
41.8%
Latin 9
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
189
 
13.1%
99
 
6.8%
94
 
6.5%
88
 
6.1%
88
 
6.1%
88
 
6.1%
88
 
6.1%
88
 
6.1%
75
 
5.2%
58
 
4.0%
Other values (116) 491
34.0%
Common
ValueCountFrequency (%)
437
41.8%
4 102
 
9.8%
1 90
 
8.6%
- 81
 
7.8%
3 59
 
5.6%
2 58
 
5.6%
0 56
 
5.4%
5 54
 
5.2%
9 32
 
3.1%
6 29
 
2.8%
Other values (4) 47
 
4.5%
Latin
ValueCountFrequency (%)
B 5
55.6%
D 4
44.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1446
57.8%
ASCII 1054
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
437
41.5%
4 102
 
9.7%
1 90
 
8.5%
- 81
 
7.7%
3 59
 
5.6%
2 58
 
5.5%
0 56
 
5.3%
5 54
 
5.1%
9 32
 
3.0%
6 29
 
2.8%
Other values (6) 56
 
5.3%
Hangul
ValueCountFrequency (%)
189
 
13.1%
99
 
6.8%
94
 
6.5%
88
 
6.1%
88
 
6.1%
88
 
6.1%
88
 
6.1%
88
 
6.1%
75
 
5.2%
58
 
4.0%
Other values (116) 491
34.0%

도로명주소
Text

MISSING 

Distinct79
Distinct (%)98.8%
Missing8
Missing (%)9.1%
Memory size836.0 B
2024-05-11T06:32:18.954075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length40
Mean length35.1
Min length23

Characters and Unicode

Total characters2808
Distinct characters148
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

Unique78 ?
Unique (%)97.5%

Sample

1st row서울특별시 강동구 진황도로 162-1 (둔촌동)
2nd row서울특별시 강동구 올림픽로 674 (천호동,로석B/D 308)
3rd row서울특별시 강동구 양재대로102길 52 (둔촌동,중부B/D 405)
4th row서울특별시 강동구 올림픽로 683 (천호동,3층309호)
5th row서울특별시 강동구 양재대로81길 89, 1층 (성내동, 혁제빌딩)
ValueCountFrequency (%)
서울특별시 80
 
15.4%
강동구 80
 
15.4%
천호대로 21
 
4.0%
천호동 20
 
3.9%
성내동 13
 
2.5%
2층 10
 
1.9%
올림픽로 10
 
1.9%
암사동 7
 
1.3%
길동 7
 
1.3%
양재대로 7
 
1.3%
Other values (196) 264
50.9%
2024-05-11T06:32:20.392639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
462
 
16.5%
170
 
6.1%
1 120
 
4.3%
107
 
3.8%
, 104
 
3.7%
91
 
3.2%
84
 
3.0%
84
 
3.0%
81
 
2.9%
( 80
 
2.8%
Other values (138) 1425
50.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1592
56.7%
Decimal Number 479
 
17.1%
Space Separator 462
 
16.5%
Other Punctuation 106
 
3.8%
Open Punctuation 80
 
2.8%
Close Punctuation 80
 
2.8%
Uppercase Letter 6
 
0.2%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
170
 
10.7%
107
 
6.7%
91
 
5.7%
84
 
5.3%
84
 
5.3%
81
 
5.1%
80
 
5.0%
80
 
5.0%
80
 
5.0%
80
 
5.0%
Other values (120) 655
41.1%
Decimal Number
ValueCountFrequency (%)
1 120
25.1%
2 74
15.4%
0 67
14.0%
3 39
 
8.1%
4 37
 
7.7%
6 34
 
7.1%
5 33
 
6.9%
7 26
 
5.4%
8 25
 
5.2%
9 24
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 104
98.1%
/ 2
 
1.9%
Uppercase Letter
ValueCountFrequency (%)
B 4
66.7%
D 2
33.3%
Space Separator
ValueCountFrequency (%)
462
100.0%
Open Punctuation
ValueCountFrequency (%)
( 80
100.0%
Close Punctuation
ValueCountFrequency (%)
) 80
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1592
56.7%
Common 1210
43.1%
Latin 6
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
170
 
10.7%
107
 
6.7%
91
 
5.7%
84
 
5.3%
84
 
5.3%
81
 
5.1%
80
 
5.0%
80
 
5.0%
80
 
5.0%
80
 
5.0%
Other values (120) 655
41.1%
Common
ValueCountFrequency (%)
462
38.2%
1 120
 
9.9%
, 104
 
8.6%
( 80
 
6.6%
) 80
 
6.6%
2 74
 
6.1%
0 67
 
5.5%
3 39
 
3.2%
4 37
 
3.1%
6 34
 
2.8%
Other values (6) 113
 
9.3%
Latin
ValueCountFrequency (%)
B 4
66.7%
D 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1592
56.7%
ASCII 1216
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
462
38.0%
1 120
 
9.9%
, 104
 
8.6%
( 80
 
6.6%
) 80
 
6.6%
2 74
 
6.1%
0 67
 
5.5%
3 39
 
3.2%
4 37
 
3.0%
6 34
 
2.8%
Other values (8) 119
 
9.8%
Hangul
ValueCountFrequency (%)
170
 
10.7%
107
 
6.7%
91
 
5.7%
84
 
5.3%
84
 
5.3%
81
 
5.1%
80
 
5.0%
80
 
5.0%
80
 
5.0%
80
 
5.0%
Other values (120) 655
41.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct36
Distinct (%)73.5%
Missing39
Missing (%)44.3%
Infinite0
Infinite (%)0.0%
Mean26449.837
Minimum5211
Maximum134874
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size924.0 B
2024-05-11T06:32:20.925702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5211
5-th percentile5246.4
Q15296
median5328
Q35384
95-th percentile134859
Maximum134874
Range129663
Interquartile range (IQR)88

Descriptive statistics

Standard deviation48331.402
Coefficient of variation (CV)1.8272855
Kurtosis1.5987775
Mean26449.837
Median Absolute Deviation (MAD)50
Skewness1.8801912
Sum1296042
Variance2.3359244 × 109
MonotonicityNot monotonic
2024-05-11T06:32:21.631929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
5328 5
 
5.7%
5248 3
 
3.4%
5264 3
 
3.4%
5355 3
 
3.4%
5376 2
 
2.3%
134859 2
 
2.3%
5314 2
 
2.3%
5315 1
 
1.1%
5211 1
 
1.1%
5373 1
 
1.1%
Other values (26) 26
29.5%
(Missing) 39
44.3%
ValueCountFrequency (%)
5211 1
 
1.1%
5236 1
 
1.1%
5246 1
 
1.1%
5247 1
 
1.1%
5248 3
3.4%
5263 1
 
1.1%
5264 3
3.4%
5292 1
 
1.1%
5296 1
 
1.1%
5297 1
 
1.1%
ValueCountFrequency (%)
134874 1
1.1%
134864 1
1.1%
134859 2
2.3%
134847 1
1.1%
134812 1
1.1%
134801 1
1.1%
134021 1
1.1%
5408 1
1.1%
5407 1
1.1%
5399 1
1.1%
Distinct86
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size836.0 B
2024-05-11T06:32:22.338013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length13
Mean length8.7045455
Min length2

Characters and Unicode

Total characters766
Distinct characters200
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

Unique84 ?
Unique (%)95.5%

Sample

1st row(주)경원월드여행사
2nd row(주)한가람여행사-국내
3rd row(주)정아여행사
4th row(주)파랑새여행사
5th row(주)국빈관광여행사
ValueCountFrequency (%)
주식회사 16
 
12.9%
여행사 3
 
2.4%
3
 
2.4%
주)동산관광 2
 
1.6%
주)블루샌들 2
 
1.6%
천연애여행사 1
 
0.8%
주)한국여행상품거래소 1
 
0.8%
올레앤유 1
 
0.8%
희성에이앤비 1
 
0.8%
주)경원월드여행사 1
 
0.8%
Other values (93) 93
75.0%
2024-05-11T06:32:24.840113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
58
 
7.6%
( 44
 
5.7%
) 44
 
5.7%
42
 
5.5%
36
 
4.7%
28
 
3.7%
28
 
3.7%
26
 
3.4%
24
 
3.1%
18
 
2.3%
Other values (190) 418
54.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 624
81.5%
Open Punctuation 44
 
5.7%
Close Punctuation 44
 
5.7%
Space Separator 36
 
4.7%
Uppercase Letter 9
 
1.2%
Lowercase Letter 7
 
0.9%
Other Punctuation 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
58
 
9.3%
42
 
6.7%
28
 
4.5%
28
 
4.5%
26
 
4.2%
24
 
3.8%
18
 
2.9%
18
 
2.9%
17
 
2.7%
14
 
2.2%
Other values (171) 351
56.2%
Uppercase Letter
ValueCountFrequency (%)
G 2
22.2%
F 1
11.1%
U 1
11.1%
C 1
11.1%
I 1
11.1%
R 1
11.1%
P 1
11.1%
L 1
11.1%
Lowercase Letter
ValueCountFrequency (%)
o 2
28.6%
e 1
14.3%
f 1
14.3%
i 1
14.3%
l 1
14.3%
d 1
14.3%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%
Space Separator
ValueCountFrequency (%)
36
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 624
81.5%
Common 126
 
16.4%
Latin 16
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
58
 
9.3%
42
 
6.7%
28
 
4.5%
28
 
4.5%
26
 
4.2%
24
 
3.8%
18
 
2.9%
18
 
2.9%
17
 
2.7%
14
 
2.2%
Other values (171) 351
56.2%
Latin
ValueCountFrequency (%)
G 2
12.5%
o 2
12.5%
F 1
 
6.2%
U 1
 
6.2%
C 1
 
6.2%
I 1
 
6.2%
R 1
 
6.2%
P 1
 
6.2%
L 1
 
6.2%
e 1
 
6.2%
Other values (4) 4
25.0%
Common
ValueCountFrequency (%)
( 44
34.9%
) 44
34.9%
36
28.6%
. 1
 
0.8%
- 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 624
81.5%
ASCII 142
 
18.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
58
 
9.3%
42
 
6.7%
28
 
4.5%
28
 
4.5%
26
 
4.2%
24
 
3.8%
18
 
2.9%
18
 
2.9%
17
 
2.7%
14
 
2.2%
Other values (171) 351
56.2%
ASCII
ValueCountFrequency (%)
( 44
31.0%
) 44
31.0%
36
25.4%
G 2
 
1.4%
o 2
 
1.4%
F 1
 
0.7%
U 1
 
0.7%
C 1
 
0.7%
I 1
 
0.7%
R 1
 
0.7%
Other values (9) 9
 
6.3%
Distinct83
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
Minimum2003-02-06 13:31:08
Maximum2024-05-08 16:42:57
2024-05-11T06:32:25.544422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:32:26.202006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
I
57 
U
31 

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 57
64.8%
U 31
35.2%

Length

2024-05-11T06:32:26.706771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:32:27.035578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 57
64.8%
u 31
35.2%
Distinct35
Distinct (%)39.8%
Missing0
Missing (%)0.0%
Memory size836.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-04 23:00:00
2024-05-11T06:32:27.542087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:32:28.057766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct65
Distinct (%)78.3%
Missing5
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean211740.97
Minimum210575.54
Maximum215400.57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size924.0 B
2024-05-11T06:32:28.625850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum210575.54
5-th percentile210821.53
Q1211060.15
median211542.31
Q3212124.88
95-th percentile212969.71
Maximum215400.57
Range4825.0333
Interquartile range (IQR)1064.7309

Descriptive statistics

Standard deviation848.07306
Coefficient of variation (CV)0.0040052383
Kurtosis4.91446
Mean211740.97
Median Absolute Deviation (MAD)571.55704
Skewness1.6509113
Sum17574501
Variance719227.91
MonotonicityNot monotonic
2024-05-11T06:32:29.273411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
211542.314116941 5
 
5.7%
211980.248325806 4
 
4.5%
210970.75707265 3
 
3.4%
212501.369116329 2
 
2.3%
211364.05352846 2
 
2.3%
210935.038615054 2
 
2.3%
211495.073412826 2
 
2.3%
210845.844797087 2
 
2.3%
211376.044890555 2
 
2.3%
212070.809769522 2
 
2.3%
Other values (55) 57
64.8%
(Missing) 5
 
5.7%
ValueCountFrequency (%)
210575.541535172 1
1.1%
210648.995783052 1
1.1%
210704.774772111 1
1.1%
210804.329104051 1
1.1%
210820.576958193 1
1.1%
210830.134427385 1
1.1%
210839.080517381 1
1.1%
210839.281153832 1
1.1%
210845.844797087 2
2.3%
210871.293674366 2
2.3%
ValueCountFrequency (%)
215400.574803 1
1.1%
214958.713997465 1
1.1%
213076.565407877 1
1.1%
212995.097815501 1
1.1%
212983.465961032 1
1.1%
212845.87675862 1
1.1%
212813.752460253 1
1.1%
212760.331738931 1
1.1%
212639.14907909 1
1.1%
212588.317959994 1
1.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct65
Distinct (%)78.3%
Missing5
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean448554.89
Minimum446777.56
Maximum451707.47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size924.0 B
2024-05-11T06:32:29.926931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum446777.56
5-th percentile446992.32
Q1448079.57
median448421.09
Q3448956.24
95-th percentile449855.95
Maximum451707.47
Range4929.9077
Interquartile range (IQR)876.6745

Descriptive statistics

Standard deviation899.39518
Coefficient of variation (CV)0.002005095
Kurtosis1.0098732
Mean448554.89
Median Absolute Deviation (MAD)444.62888
Skewness0.54295982
Sum37230056
Variance808911.68
MonotonicityNot monotonic
2024-05-11T06:32:30.466624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
448273.114107211 5
 
5.7%
448111.060277943 4
 
4.5%
448713.31669728 3
 
3.4%
449282.31038379 2
 
2.3%
449831.02984364 2
 
2.3%
448663.480515858 2
 
2.3%
446990.658011291 2
 
2.3%
448679.382603258 2
 
2.3%
448340.166805157 2
 
2.3%
447976.463669218 2
 
2.3%
Other values (55) 57
64.8%
(Missing) 5
 
5.7%
ValueCountFrequency (%)
446777.558590088 1
1.1%
446899.094121557 1
1.1%
446959.93759108 1
1.1%
446990.658011291 2
2.3%
447007.285220271 1
1.1%
447350.87722911 1
1.1%
447428.794609384 1
1.1%
447458.387605645 1
1.1%
447462.077236492 1
1.1%
447590.314958302 1
1.1%
ValueCountFrequency (%)
451707.466249 1
1.1%
450615.470981382 1
1.1%
450346.790651613 1
1.1%
449895.718280127 1
1.1%
449858.720552333 1
1.1%
449831.02984364 2
2.3%
449774.572647567 1
1.1%
449773.28838427 2
2.3%
449772.477083199 1
1.1%
449726.156403255 1
1.1%
Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
국내여행업
73 
<NA>
15 

Length

Max length5
Median length5
Mean length4.8295455
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내여행업 73
83.0%
<NA> 15
 
17.0%

Length

2024-05-11T06:32:31.007432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:32:31.733073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내여행업 73
83.0%
na 15
 
17.0%
Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
<NA>
50 
관광사업
38 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 50
56.8%
관광사업 38
43.2%

Length

2024-05-11T06:32:32.048303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:32:32.414749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 50
56.8%
관광사업 38
43.2%

지역구분명
Text

MISSING 

Distinct2
Distinct (%)50.0%
Missing84
Missing (%)95.5%
Memory size836.0 B
2024-05-11T06:32:32.745535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5.5
Mean length5.5
Min length5

Characters and Unicode

Total characters22
Distinct characters7
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 row일반주거지역
2nd row일반주거지역
3rd row준주거지역
4th row준주거지역
ValueCountFrequency (%)
일반주거지역 2
50.0%
준주거지역 2
50.0%
2024-05-11T06:32:33.772561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4
18.2%
4
18.2%
4
18.2%
4
18.2%
2
9.1%
2
9.1%
2
9.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4
18.2%
4
18.2%
4
18.2%
4
18.2%
2
9.1%
2
9.1%
2
9.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4
18.2%
4
18.2%
4
18.2%
4
18.2%
2
9.1%
2
9.1%
2
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
4
18.2%
4
18.2%
4
18.2%
4
18.2%
2
9.1%
2
9.1%
2
9.1%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)54.5%
Missing77
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean2.7272727
Minimum0
Maximum18
Zeros5
Zeros (%)5.7%
Negative0
Negative (%)0.0%
Memory size924.0 B
2024-05-11T06:32:34.257996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32.5
95-th percentile11
Maximum18
Range18
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation5.2553004
Coefficient of variation (CV)1.9269435
Kurtosis8.980013
Mean2.7272727
Median Absolute Deviation (MAD)1
Skewness2.9112588
Sum30
Variance27.618182
MonotonicityNot monotonic
2024-05-11T06:32:34.645377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 5
 
5.7%
2 2
 
2.3%
18 1
 
1.1%
4 1
 
1.1%
3 1
 
1.1%
1 1
 
1.1%
(Missing) 77
87.5%
ValueCountFrequency (%)
0 5
5.7%
1 1
 
1.1%
2 2
 
2.3%
3 1
 
1.1%
4 1
 
1.1%
18 1
 
1.1%
ValueCountFrequency (%)
18 1
 
1.1%
4 1
 
1.1%
3 1
 
1.1%
2 2
 
2.3%
1 1
 
1.1%
0 5
5.7%

주변환경명
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
<NA>
83 
기타
 
5

Length

Max length4
Median length4
Mean length3.8863636
Min length2

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> 83
94.3%
기타 5
 
5.7%

Length

2024-05-11T06:32:35.190781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:32:35.692215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 83
94.3%
기타 5
 
5.7%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

보험기관명
Categorical

Distinct18
Distinct (%)20.5%
Missing0
Missing (%)0.0%
Memory size836.0 B
<NA>
46 
서울보증보험주식회사
16 
한국관광협회중앙회 여행공제회
 
4
한국관광협회중앙회여행공제회
 
3
공제(영업)보증
 
3
Other values (13)
16 

Length

Max length20
Median length4
Mean length7.2159091
Min length4

Unique

Unique11 ?
Unique (%)12.5%

Sample

1st row공제(영업)보증
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 46
52.3%
서울보증보험주식회사 16
 
18.2%
한국관광협회중앙회 여행공제회 4
 
4.5%
한국관광협회중앙회여행공제회 3
 
3.4%
공제(영업)보증 3
 
3.4%
한국관광협회중앙회 3
 
3.4%
서울시관광협회 2
 
2.3%
여행공제회(2천만) 1
 
1.1%
서울보증보험 1
 
1.1%
서울보증보험(2천만) 1
 
1.1%
Other values (8) 8
 
9.1%

Length

2024-05-11T06:32:36.256461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 46
49.5%
서울보증보험주식회사 16
 
17.2%
한국관광협회중앙회 7
 
7.5%
여행공제회 5
 
5.4%
한국관광협회중앙회여행공제회 3
 
3.2%
공제(영업)보증 3
 
3.2%
서울시관광협회 2
 
2.2%
서울특별시관광협회 1
 
1.1%
관광협회중앙회여행공제회 1
 
1.1%
한국관광협회중안회 1
 
1.1%
Other values (8) 8
 
8.6%

건물용도명
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size836.0 B
<NA>
78 
근린생활시설
 
7
사무실
 
3

Length

Max length6
Median length4
Mean length4.125
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> 78
88.6%
근린생활시설 7
 
8.0%
사무실 3
 
3.4%

Length

2024-05-11T06:32:36.894678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:32:37.277397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 78
88.6%
근린생활시설 7
 
8.0%
사무실 3
 
3.4%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)50.0%
Missing76
Missing (%)86.4%
Infinite0
Infinite (%)0.0%
Mean2.3333333
Minimum0
Maximum15
Zeros5
Zeros (%)5.7%
Negative0
Negative (%)0.0%
Memory size924.0 B
2024-05-11T06:32:37.615160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32.25
95-th percentile8.95
Maximum15
Range15
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation4.2067766
Coefficient of variation (CV)1.8029043
Kurtosis9.0005348
Mean2.3333333
Median Absolute Deviation (MAD)1
Skewness2.8851036
Sum28
Variance17.69697
MonotonicityNot monotonic
2024-05-11T06:32:37.991729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 5
 
5.7%
2 2
 
2.3%
1 2
 
2.3%
15 1
 
1.1%
4 1
 
1.1%
3 1
 
1.1%
(Missing) 76
86.4%
ValueCountFrequency (%)
0 5
5.7%
1 2
 
2.3%
2 2
 
2.3%
3 1
 
1.1%
4 1
 
1.1%
15 1
 
1.1%
ValueCountFrequency (%)
15 1
 
1.1%
4 1
 
1.1%
3 1
 
1.1%
2 2
 
2.3%
1 2
 
2.3%
0 5
5.7%

지하층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size836.0 B
<NA>
79 
0
 
5
1
 
3
3
 
1

Length

Max length4
Median length4
Mean length3.6931818
Min length1

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 79
89.8%
0 5
 
5.7%
1 3
 
3.4%
3 1
 
1.1%

Length

2024-05-11T06:32:38.427737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:32:38.853510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 79
89.8%
0 5
 
5.7%
1 3
 
3.4%
3 1
 
1.1%

객실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
<NA>
86 
0
 
2

Length

Max length4
Median length4
Mean length3.9318182
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> 86
97.7%
0 2
 
2.3%

Length

2024-05-11T06:32:39.293413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:32:39.640687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 86
97.7%
0 2
 
2.3%

건축연면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
<NA>
86 
0
 
2

Length

Max length4
Median length4
Mean length3.9318182
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> 86
97.7%
0 2
 
2.3%

Length

2024-05-11T06:32:40.058198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:32:40.361491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 86
97.7%
0 2
 
2.3%

영문상호명
Text

MISSING 

Distinct6
Distinct (%)100.0%
Missing82
Missing (%)93.2%
Memory size836.0 B
2024-05-11T06:32:40.793987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length19
Mean length18.333333
Min length4

Characters and Unicode

Total characters110
Distinct characters33
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

Unique6 ?
Unique (%)100.0%

Sample

1st rowDreaming Tour Travel Service Co.Ltd.
2nd rowBLUE SANDAL Tour co,Ltd
3rd rowHana Prime Tour Co,Ltd
4th rowIsol Tour
5th rowHana School Tour
ValueCountFrequency (%)
tour 5
26.3%
co,ltd 2
 
10.5%
hana 2
 
10.5%
dreaming 1
 
5.3%
travel 1
 
5.3%
service 1
 
5.3%
co.ltd 1
 
5.3%
blue 1
 
5.3%
sandal 1
 
5.3%
prime 1
 
5.3%
Other values (3) 3
15.8%
2024-05-11T06:32:41.641813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13
 
11.8%
o 11
 
10.0%
r 9
 
8.2%
a 6
 
5.5%
T 6
 
5.5%
e 5
 
4.5%
L 5
 
4.5%
u 5
 
4.5%
l 3
 
2.7%
t 3
 
2.7%
Other values (23) 44
40.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 61
55.5%
Uppercase Letter 32
29.1%
Space Separator 13
 
11.8%
Other Punctuation 4
 
3.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 11
18.0%
r 9
14.8%
a 6
9.8%
e 5
8.2%
u 5
8.2%
l 3
 
4.9%
t 3
 
4.9%
c 3
 
4.9%
n 3
 
4.9%
i 3
 
4.9%
Other values (6) 10
16.4%
Uppercase Letter
ValueCountFrequency (%)
T 6
18.8%
L 5
15.6%
S 3
9.4%
D 3
9.4%
N 2
 
6.2%
E 2
 
6.2%
A 2
 
6.2%
H 2
 
6.2%
C 2
 
6.2%
U 1
 
3.1%
Other values (4) 4
12.5%
Other Punctuation
ValueCountFrequency (%)
, 2
50.0%
. 2
50.0%
Space Separator
ValueCountFrequency (%)
13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 93
84.5%
Common 17
 
15.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 11
 
11.8%
r 9
 
9.7%
a 6
 
6.5%
T 6
 
6.5%
e 5
 
5.4%
L 5
 
5.4%
u 5
 
5.4%
l 3
 
3.2%
t 3
 
3.2%
c 3
 
3.2%
Other values (20) 37
39.8%
Common
ValueCountFrequency (%)
13
76.5%
, 2
 
11.8%
. 2
 
11.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 110
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13
 
11.8%
o 11
 
10.0%
r 9
 
8.2%
a 6
 
5.5%
T 6
 
5.5%
e 5
 
4.5%
L 5
 
4.5%
u 5
 
4.5%
l 3
 
2.7%
t 3
 
2.7%
Other values (23) 44
40.0%

영문상호주소
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size836.0 B
<NA>
83 
Domestic Travel Business
 
4
Domestic Travel Agency
 
1

Length

Max length24
Median length4
Mean length5.1136364
Min length4

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 83
94.3%
Domestic Travel Business 4
 
4.5%
Domestic Travel Agency 1
 
1.1%

Length

2024-05-11T06:32:42.394434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:32:42.822347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 83
84.7%
domestic 5
 
5.1%
travel 5
 
5.1%
business 4
 
4.1%
agency 1
 
1.0%

선박총톤수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
<NA>
86 
0
 
2

Length

Max length4
Median length4
Mean length3.9318182
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> 86
97.7%
0 2
 
2.3%

Length

2024-05-11T06:32:43.298197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:32:43.807085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 86
97.7%
0 2
 
2.3%

선박척수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
<NA>
86 
0
 
2

Length

Max length4
Median length4
Mean length3.9318182
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> 86
97.7%
0 2
 
2.3%

Length

2024-05-11T06:32:44.259870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:32:44.818856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 86
97.7%
0 2
 
2.3%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

무대면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
<NA>
86 
0
 
2

Length

Max length4
Median length4
Mean length3.9318182
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> 86
97.7%
0 2
 
2.3%

Length

2024-05-11T06:32:45.376947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:32:45.965651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 86
97.7%
0 2
 
2.3%

좌석수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
<NA>
86 
0
 
2

Length

Max length4
Median length4
Mean length3.9318182
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> 86
97.7%
0 2
 
2.3%

Length

2024-05-11T06:32:46.539049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:32:47.201816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 86
97.7%
0 2
 
2.3%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

회의실별동시수용인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
<NA>
86 
0
 
2

Length

Max length4
Median length4
Mean length3.9318182
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> 86
97.7%
0 2
 
2.3%

Length

2024-05-11T06:32:47.932096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:32:48.517483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 86
97.7%
0 2
 
2.3%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)60.0%
Missing68
Missing (%)77.3%
Infinite0
Infinite (%)0.0%
Mean43.493
Minimum0
Maximum214
Zeros9
Zeros (%)10.2%
Negative0
Negative (%)0.0%
Memory size924.0 B
2024-05-11T06:32:49.179432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median20.575
Q350.5975
95-th percentile162.7
Maximum214
Range214
Interquartile range (IQR)50.5975

Descriptive statistics

Standard deviation61.116117
Coefficient of variation (CV)1.4051943
Kurtosis2.3010316
Mean43.493
Median Absolute Deviation (MAD)20.575
Skewness1.6813706
Sum869.86
Variance3735.1798
MonotonicityNot monotonic
2024-05-11T06:32:49.620858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.0 9
 
10.2%
20.16 1
 
1.1%
132.0 1
 
1.1%
46.35 1
 
1.1%
20.99 1
 
1.1%
214.0 1
 
1.1%
89.0 1
 
1.1%
57.19 1
 
1.1%
160.0 1
 
1.1%
48.25 1
 
1.1%
Other values (2) 2
 
2.3%
(Missing) 68
77.3%
ValueCountFrequency (%)
0.0 9
10.2%
20.16 1
 
1.1%
20.99 1
 
1.1%
33.52 1
 
1.1%
46.35 1
 
1.1%
48.25 1
 
1.1%
48.4 1
 
1.1%
57.19 1
 
1.1%
89.0 1
 
1.1%
132.0 1
 
1.1%
ValueCountFrequency (%)
214.0 1
1.1%
160.0 1
1.1%
132.0 1
1.1%
89.0 1
1.1%
57.19 1
1.1%
48.4 1
1.1%
48.25 1
1.1%
46.35 1
1.1%
33.52 1
1.1%
20.99 1
1.1%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

놀이시설수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
<NA>
86 
0
 
2

Length

Max length4
Median length4
Mean length3.9318182
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> 86
97.7%
0 2
 
2.3%

Length

2024-05-11T06:32:50.119289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:32:50.805143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 86
97.7%
0 2
 
2.3%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)29.4%
Missing37
Missing (%)42.0%
Infinite0
Infinite (%)0.0%
Mean92211563
Minimum0
Maximum5 × 108
Zeros1
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size924.0 B
2024-05-11T06:32:51.234097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile22500000
Q145000000
median50000000
Q31 × 108
95-th percentile2.724 × 108
Maximum5 × 108
Range5 × 108
Interquartile range (IQR)55000000

Descriptive statistics

Standard deviation97065533
Coefficient of variation (CV)1.0526395
Kurtosis8.0996396
Mean92211563
Median Absolute Deviation (MAD)20000000
Skewness2.6791815
Sum4.7027897 × 109
Variance9.4217176 × 1015
MonotonicityNot monotonic
2024-05-11T06:32:51.641737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
50000000 17
19.3%
30000000 8
 
9.1%
150000000 6
 
6.8%
100000000 6
 
6.8%
90000000 2
 
2.3%
45000000 2
 
2.3%
15000000 2
 
2.3%
500000000 1
 
1.1%
200000000 1
 
1.1%
259000000 1
 
1.1%
Other values (5) 5
 
5.7%
(Missing) 37
42.0%
ValueCountFrequency (%)
0 1
 
1.1%
15000000 2
 
2.3%
30000000 8
9.1%
40000000 1
 
1.1%
45000000 2
 
2.3%
50000000 17
19.3%
90000000 2
 
2.3%
91385088 1
 
1.1%
100000000 6
 
6.8%
150000000 6
 
6.8%
ValueCountFrequency (%)
500000000 1
 
1.1%
436604623 1
 
1.1%
285800000 1
 
1.1%
259000000 1
 
1.1%
200000000 1
 
1.1%
150000000 6
 
6.8%
100000000 6
 
6.8%
91385088 1
 
1.1%
90000000 2
 
2.3%
50000000 17
19.3%

보험시작일자
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)100.0%
Missing46
Missing (%)52.3%
Infinite0
Infinite (%)0.0%
Mean20139525
Minimum20020901
Maximum20210308
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size924.0 B
2024-05-11T06:32:52.254722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20020901
5-th percentile20030830
Q120110814
median20150806
Q320168420
95-th percentile20209666
Maximum20210308
Range189407
Interquartile range (IQR)57605

Descriptive statistics

Standard deviation48763.483
Coefficient of variation (CV)0.0024212827
Kurtosis0.42302454
Mean20139525
Median Absolute Deviation (MAD)30156
Skewness-0.78106445
Sum8.4586003 × 108
Variance2.3778773 × 109
MonotonicityNot monotonic
2024-05-11T06:32:52.951076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
20210308 1
 
1.1%
20130311 1
 
1.1%
20130313 1
 
1.1%
20150709 1
 
1.1%
20130903 1
 
1.1%
20191224 1
 
1.1%
20131129 1
 
1.1%
20140102 1
 
1.1%
20200731 1
 
1.1%
20161110 1
 
1.1%
Other values (32) 32
36.4%
(Missing) 46
52.3%
ValueCountFrequency (%)
20020901 1
1.1%
20030312 1
1.1%
20030331 1
1.1%
20040316 1
1.1%
20080507 1
1.1%
20100614 1
1.1%
20100816 1
1.1%
20110225 1
1.1%
20110427 1
1.1%
20110617 1
1.1%
ValueCountFrequency (%)
20210308 1
1.1%
20210213 1
1.1%
20210121 1
1.1%
20201031 1
1.1%
20200731 1
1.1%
20191224 1
1.1%
20191120 1
1.1%
20190508 1
1.1%
20181122 1
1.1%
20180801 1
1.1%

보험종료일자
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)100.0%
Missing46
Missing (%)52.3%
Infinite0
Infinite (%)0.0%
Mean20149521
Minimum20030901
Maximum20220308
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size924.0 B
2024-05-11T06:32:53.458515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20030901
5-th percentile20040830
Q120120814
median20160804
Q320178419
95-th percentile20219666
Maximum20220308
Range189407
Interquartile range (IQR)57604.75

Descriptive statistics

Standard deviation48761.602
Coefficient of variation (CV)0.0024199881
Kurtosis0.4232264
Mean20149521
Median Absolute Deviation (MAD)30121.5
Skewness-0.78102302
Sum8.4627989 × 108
Variance2.3776938 × 109
MonotonicityNot monotonic
2024-05-11T06:32:54.033369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
20220308 1
 
1.1%
20140311 1
 
1.1%
20140313 1
 
1.1%
20160708 1
 
1.1%
20140902 1
 
1.1%
20201224 1
 
1.1%
20141128 1
 
1.1%
20150101 1
 
1.1%
20210731 1
 
1.1%
20171123 1
 
1.1%
Other values (32) 32
36.4%
(Missing) 46
52.3%
ValueCountFrequency (%)
20030901 1
1.1%
20040312 1
1.1%
20040331 1
1.1%
20050316 1
1.1%
20090507 1
1.1%
20110614 1
1.1%
20110816 1
1.1%
20120225 1
1.1%
20120427 1
1.1%
20120617 1
1.1%
ValueCountFrequency (%)
20220308 1
1.1%
20220212 1
1.1%
20220120 1
1.1%
20211031 1
1.1%
20210731 1
1.1%
20201224 1
1.1%
20201120 1
1.1%
20200507 1
1.1%
20191121 1
1.1%
20190731 1
1.1%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)55.0%
Missing68
Missing (%)77.3%
Infinite0
Infinite (%)0.0%
Mean43.45
Minimum0
Maximum214
Zeros9
Zeros (%)10.2%
Negative0
Negative (%)0.0%
Memory size924.0 B
2024-05-11T06:32:54.596375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median20.5
Q350.25
95-th percentile162.7
Maximum214
Range214
Interquartile range (IQR)50.25

Descriptive statistics

Standard deviation61.109457
Coefficient of variation (CV)1.4064317
Kurtosis2.3094493
Mean43.45
Median Absolute Deviation (MAD)20.5
Skewness1.6841974
Sum869
Variance3734.3658
MonotonicityNot monotonic
2024-05-11T06:32:54.951476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 9
 
10.2%
48 2
 
2.3%
20 1
 
1.1%
132 1
 
1.1%
46 1
 
1.1%
21 1
 
1.1%
214 1
 
1.1%
89 1
 
1.1%
57 1
 
1.1%
160 1
 
1.1%
(Missing) 68
77.3%
ValueCountFrequency (%)
0 9
10.2%
20 1
 
1.1%
21 1
 
1.1%
34 1
 
1.1%
46 1
 
1.1%
48 2
 
2.3%
57 1
 
1.1%
89 1
 
1.1%
132 1
 
1.1%
160 1
 
1.1%
ValueCountFrequency (%)
214 1
1.1%
160 1
1.1%
132 1
1.1%
89 1
1.1%
57 1
1.1%
48 2
2.3%
46 1
1.1%
34 1
1.1%
21 1
1.1%
20 1
1.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03240000CDFI226001198300000119830428<NA>3폐업3폐업20060111<NA><NA><NA>477-7326<NA>134821서울특별시 강동구 둔촌동 228-9번지 미진빌딩 2층<NA><NA>(주)경원월드여행사2006-01-12 11:28:31I2018-08-31 23:59:59.0<NA><NA><NA>국내여행업관광사업<NA><NA><NA><NA>공제(영업)보증<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2002090120030901<NA><NA>
13240000CDFI226001199100000119911218<NA>3폐업3폐업19990203<NA><NA><NA><NA><NA>134822서울특별시 강동구 둔촌동 454-1번지서울특별시 강동구 진황도로 162-1 (둔촌동)<NA>(주)한가람여행사-국내2003-02-06 13:32:14I2018-08-31 23:59:59.0<NA>212462.965418447714.039019국내여행업관광사업<NA>0<NA><NA><NA><NA>00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
23240000CDFI226001199300000119930531<NA>3폐업3폐업19971007<NA><NA><NA><NA><NA>134869서울특별시 강동구 천호동 355번지 로석B/D 308서울특별시 강동구 올림픽로 674 (천호동,로석B/D 308)<NA>(주)정아여행사2003-02-06 13:31:08I2018-08-31 23:59:59.0<NA>210967.904978448818.465138국내여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
33240000CDFI226001199400000119940929<NA>3폐업3폐업19980303<NA><NA><NA><NA><NA>134822서울특별시 강동구 둔촌동 459-2번지 중부B/D 405서울특별시 강동구 양재대로102길 52 (둔촌동,중부B/D 405)<NA>(주)파랑새여행사2003-02-06 13:32:14I2018-08-31 23:59:59.0<NA>212409.034806447784.078188국내여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
43240000CDFI226001199400000219941012<NA>3폐업3폐업19980303<NA><NA><NA><NA><NA>134818서울특별시 강동구 둔촌동 151번지 동일B/D 401호<NA><NA>(주)국빈관광여행사2003-02-06 13:32:14I2018-08-31 23:59:59.0<NA><NA><NA>국내여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
53240000CDFI226001199600000119960708<NA>3폐업3폐업19971222<NA><NA><NA><NA><NA>134868서울특별시 강동구 천호동 340-34번지 3층309호서울특별시 강동구 올림픽로 683 (천호동,3층309호)<NA>(주)포시즌여행사2003-02-06 13:32:14I2018-08-31 23:59:59.0<NA>210931.005192448917.622614국내여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
63240000CDFI226001199800000119980422<NA>3폐업3폐업20111231<NA><NA><NA>225-5771<NA>134847서울특별시 강동구 성내동 448-10번지 혁제B/D1층서울특별시 강동구 양재대로81길 89, 1층 (성내동, 혁제빌딩)134847(주)배우리여행사2012-01-17 16:30:14I2018-08-31 23:59:59.0<NA>211377.039493446899.094122국내여행업관광사업<NA><NA><NA><NA>서울시관광협회<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2011042720120427<NA><NA>
73240000CDFI226001199800000219980602<NA>3폐업3폐업19990325<NA><NA><NA><NA><NA>134822서울특별시 강동구 둔촌동 386-8번지<NA><NA>(주)유미여행사2003-02-06 13:32:14I2018-08-31 23:59:59.0<NA><NA><NA>국내여행업관광사업<NA>0<NA><NA><NA><NA>00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
83240000CDFI226001199900000119990324<NA>3폐업3폐업20000201<NA><NA><NA><NA><NA>134843서울특별시 강동구 성내동 244-3번지서울특별시 강동구 천호대로 1124 (성내동)<NA>평화관광2003-02-06 13:32:14I2018-08-31 23:59:59.0<NA>211966.759282448015.084774국내여행업관광사업<NA>0<NA><NA><NA><NA>00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
93240000CDFI226001200000000220000427<NA>3폐업3폐업20211028<NA><NA><NA>470-3322<NA>134840서울특별시 강동구 성내동 64-13 브라운스톤천호오피스텔 801호서울특별시 강동구 천호대로 1006, 801호 (성내동, 브라운스톤천호오피스텔)5378민산관광(주)2021-10-28 16:05:38U2021-10-30 02:40:00.0<NA>210871.293674448421.092548국내여행업관광사업<NA><NA><NA><NA>한국관광협회중앙회<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2020103120211031<NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
783240000CDFI226001202000000420201012<NA>3폐업3폐업20220427<NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 42 천호복합 상업시설서울특별시 강동구 양재대로 1571, 홈플러스 지하2층 (천호동)5314주식회사 티투어2022-04-27 17:19:02U2021-12-03 21:00:00.0<NA>212501.369116449282.310384<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
793240000CDFI226001202000000520120511<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 성내동 397-6서울특별시 강동구 양재대로 1393, 2층 (성내동)5376하이투어2020-12-17 20:44:20I2020-12-19 00:23:16.0<NA>212016.915922447600.544563국내여행업<NA><NA><NA><NA><NA>서울보증보험(215-23-82016)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>900000002019050820200507<NA><NA>
803240000CDFI226001202100000120210304<NA>3폐업3폐업20210624<NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 432-10 쌍용플래티넘리버서울특별시 강동구 올림픽로 659, 쌍용플래티넘리버 922호 (천호동)5248월도어2021-06-24 17:49:13U2021-06-26 02:40:00.0<NA>210845.844797448679.382603국내여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
813240000CDFI22600120210000022021-03-23<NA>5제외/삭제/전출15전출2023-03-24<NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 45-3 212호서울특별시 강동구 양재대로 1547, 212호 (천호동)5315함사세 주식회사2023-03-24 09:17:29U2022-12-02 22:06:00.0<NA>212473.976116449069.750393<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
823240000CDFI226001202100000320041206<NA>3폐업3폐업20220506<NA><NA><NA><NA><NA><NA>서울특별시 강동구 강일동 679-1 강일큐브서울특별시 강동구 아리수로 423, 강일큐브 610호 (강일동)5211(주)여행싸다구2022-05-06 11:22:32U2021-12-05 00:08:00.0<NA>215400.574803451707.466249<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
833240000CDFI226001202100000420210709<NA>3폐업3폐업20211119<NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 425-5 대우 한강 베네시티 340호서울특별시 강동구 올림픽로 664, 340호 (천호동, 대우 한강 베네시티)5328주식회사 강동드림투어2021-11-19 16:48:06U2021-11-21 02:40:00.0<NA>210970.757073448713.316697국내여행업<NA><NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0
843240000CDFI22600120210000052021-10-25<NA>1영업/정상13영업중<NA><NA><NA><NA>02-477-1532<NA><NA>서울특별시 강동구 천호동 287-2 암사오피스텔 428호서울특별시 강동구 상암로 42, 암사오피스텔 4층 428호 (천호동)5318주식회사 고려투어넷2023-02-23 16:50:20U2022-12-01 22:05:00.0<NA>211228.337999449705.745603<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
853240000CDFI226001202200000120220322<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3445-0991<NA><NA>서울특별시 강동구 길동 459-3 강동그린타워 906호서울특별시 강동구 천호대로 1139, 강동그린타워 9층 906호 (길동)5355오든2022-03-22 16:52:08I2022-03-24 00:22:35.0<NA>212143.77893448048.253831국내여행업<NA><NA>0<NA><NA><NA><NA>0000ODENDomestic Travel Business00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>15000000<NA><NA><NA>0
863240000CDFI22600120230000012023-01-27<NA>1영업/정상13영업중<NA><NA><NA><NA>1661-5931<NA><NA>서울특별시 강동구 길동 416-3 다성이즈텔 204호서울특별시 강동구 성안로 162, 다성이즈텔 204호 (길동)5354롯데월드 자유이용권 학생 및 일반 단체 할인 예약을 도와드리는 크라드 여행사2024-05-08 16:42:57U2023-12-04 23:00:00.0<NA>211918.212579448361.378911<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
873240000CDFI22600120240000012007-08-06<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 둔촌동 437-12서울특별시 강동구 양재대로102길 10, 2층 (둔촌동)5363(사)정보화마을중앙협회2024-04-09 10:24:07I2023-12-03 23:01:00.0<NA>212199.63962447805.054162<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>