Overview

Dataset statistics

Number of variables60
Number of observations133
Missing cells3265
Missing cells (%)40.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory67.3 KiB
Average record size in memory518.0 B

Variable types

Categorical22
Text8
DateTime6
Numeric10
Unsupported14

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-17601/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 has constant value ""Constant
휴업종료일자 has constant value ""Constant
인허가취소일자 is highly imbalanced (93.6%)Imbalance
주변환경명 is highly imbalanced (76.9%)Imbalance
보험기관명 is highly imbalanced (51.6%)Imbalance
건물용도명 is highly imbalanced (75.7%)Imbalance
지상층수 is highly imbalanced (74.4%)Imbalance
지하층수 is highly imbalanced (78.0%)Imbalance
객실수 is highly imbalanced (88.7%)Imbalance
건축연면적 is highly imbalanced (88.7%)Imbalance
영문상호주소 is highly imbalanced (80.7%)Imbalance
선박총톤수 is highly imbalanced (88.7%)Imbalance
선박척수 is highly imbalanced (88.7%)Imbalance
무대면적 is highly imbalanced (88.7%)Imbalance
좌석수 is highly imbalanced (88.7%)Imbalance
회의실별동시수용인원 is highly imbalanced (88.7%)Imbalance
놀이시설수 is highly imbalanced (88.7%)Imbalance
폐업일자 has 73 (54.9%) missing valuesMissing
휴업시작일자 has 132 (99.2%) missing valuesMissing
휴업종료일자 has 132 (99.2%) missing valuesMissing
재개업일자 has 133 (100.0%) missing valuesMissing
전화번호 has 77 (57.9%) missing valuesMissing
소재지면적 has 133 (100.0%) missing valuesMissing
소재지우편번호 has 65 (48.9%) missing valuesMissing
도로명주소 has 3 (2.3%) missing valuesMissing
도로명우편번호 has 49 (36.8%) missing valuesMissing
업태구분명 has 133 (100.0%) missing valuesMissing
좌표정보(X) has 2 (1.5%) missing valuesMissing
좌표정보(Y) has 2 (1.5%) missing valuesMissing
지역구분명 has 131 (98.5%) missing valuesMissing
총층수 has 121 (91.0%) missing valuesMissing
제작취급품목내용 has 133 (100.0%) missing valuesMissing
영문상호명 has 126 (94.7%) missing valuesMissing
선박제원 has 133 (100.0%) missing valuesMissing
기념품종류 has 133 (100.0%) missing valuesMissing
시설면적 has 114 (85.7%) missing valuesMissing
놀이기구수내역 has 133 (100.0%) missing valuesMissing
방송시설유무 has 133 (100.0%) missing valuesMissing
발전시설유무 has 133 (100.0%) missing valuesMissing
의무실유무 has 133 (100.0%) missing valuesMissing
안내소유무 has 133 (100.0%) missing valuesMissing
기획여행보험시작일자 has 133 (100.0%) missing valuesMissing
기획여행보험종료일자 has 133 (100.0%) missing valuesMissing
자본금 has 86 (64.7%) missing valuesMissing
보험시작일자 has 88 (66.2%) missing valuesMissing
보험종료일자 has 88 (66.2%) missing valuesMissing
부대시설내역 has 133 (100.0%) missing valuesMissing
시설규모 has 114 (85.7%) missing valuesMissing
관리번호 has unique valuesUnique
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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 6 (4.5%) zerosZeros
시설면적 has 9 (6.8%) zerosZeros
시설규모 has 9 (6.8%) zerosZeros

Reproduction

Analysis started2024-05-11 00:27:54.574720
Analysis finished2024-05-11 00:27:56.734366
Duration2.16 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
3240000
133 

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 133
100.0%

Length

2024-05-11T00:27:56.991597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:27:57.315461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3240000 133
100.0%

관리번호
Text

UNIQUE 

Distinct133
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-05-11T00:27:57.877047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters2660
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

Unique133 ?
Unique (%)100.0%

Sample

1st rowCDFI2260021984000001
2nd rowCDFI2260021996000001
3rd rowCDFI2260021996000003
4th rowCDFI2260021996000004
5th rowCDFI2260021997000001
ValueCountFrequency (%)
cdfi2260021984000001 1
 
0.8%
cdfi2260022012000009 1
 
0.8%
cdfi2260022018000007 1
 
0.8%
cdfi2260022018000006 1
 
0.8%
cdfi2260022018000005 1
 
0.8%
cdfi2260022018000004 1
 
0.8%
cdfi2260022018000003 1
 
0.8%
cdfi2260022018000002 1
 
0.8%
cdfi2260022018000001 1
 
0.8%
cdfi2260022017000006 1
 
0.8%
Other values (123) 123
92.5%
2024-05-11T00:27:59.092583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1091
41.0%
2 592
22.3%
6 160
 
6.0%
C 133
 
5.0%
D 133
 
5.0%
F 133
 
5.0%
I 133
 
5.0%
1 119
 
4.5%
9 45
 
1.7%
3 41
 
1.5%
Other values (4) 80
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2128
80.0%
Uppercase Letter 532
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1091
51.3%
2 592
27.8%
6 160
 
7.5%
1 119
 
5.6%
9 45
 
2.1%
3 41
 
1.9%
4 31
 
1.5%
8 20
 
0.9%
5 16
 
0.8%
7 13
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
C 133
25.0%
D 133
25.0%
F 133
25.0%
I 133
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2128
80.0%
Latin 532
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1091
51.3%
2 592
27.8%
6 160
 
7.5%
1 119
 
5.6%
9 45
 
2.1%
3 41
 
1.9%
4 31
 
1.5%
8 20
 
0.9%
5 16
 
0.8%
7 13
 
0.6%
Latin
ValueCountFrequency (%)
C 133
25.0%
D 133
25.0%
F 133
25.0%
I 133
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2660
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1091
41.0%
2 592
22.3%
6 160
 
6.0%
C 133
 
5.0%
D 133
 
5.0%
F 133
 
5.0%
I 133
 
5.0%
1 119
 
4.5%
9 45
 
1.7%
3 41
 
1.5%
Other values (4) 80
 
3.0%
Distinct131
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum1984-07-09 00:00:00
Maximum2024-04-04 00:00:00
2024-05-11T00:27:59.932304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:28:00.633677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
132 
20091221
 
1

Length

Max length8
Median length4
Mean length4.0300752
Min length4

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 132
99.2%
20091221 1
 
0.8%

Length

2024-05-11T00:28:01.398376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:28:01.906445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 132
99.2%
20091221 1
 
0.8%
Distinct5
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
1
70 
3
53 
5
 
6
4
 
3
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
1 70
52.6%
3 53
39.8%
5 6
 
4.5%
4 3
 
2.3%
2 1
 
0.8%

Length

2024-05-11T00:28:02.592846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:28:03.130835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 70
52.6%
3 53
39.8%
5 6
 
4.5%
4 3
 
2.3%
2 1
 
0.8%

영업상태명
Categorical

Distinct5
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
영업/정상
70 
폐업
53 
제외/삭제/전출
 
6
취소/말소/만료/정지/중지
 
3
휴업
 
1

Length

Max length14
Median length5
Mean length4.1203008
Min length2

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 70
52.6%
폐업 53
39.8%
제외/삭제/전출 6
 
4.5%
취소/말소/만료/정지/중지 3
 
2.3%
휴업 1
 
0.8%

Length

2024-05-11T00:28:03.720385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:28:04.115892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 70
52.6%
폐업 53
39.8%
제외/삭제/전출 6
 
4.5%
취소/말소/만료/정지/중지 3
 
2.3%
휴업 1
 
0.8%

상세영업상태코드
Real number (ℝ)

Distinct7
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.4511278
Minimum2
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T00:28:04.647070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q13
median13
Q313
95-th percentile15
Maximum35
Range33
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.0721248
Coefficient of variation (CV)0.64247621
Kurtosis2.3639347
Mean9.4511278
Median Absolute Deviation (MAD)0
Skewness0.85443092
Sum1257
Variance36.870699
MonotonicityNot monotonic
2024-05-11T00:28:05.367433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
13 70
52.6%
3 53
39.8%
15 6
 
4.5%
30 1
 
0.8%
31 1
 
0.8%
2 1
 
0.8%
35 1
 
0.8%
ValueCountFrequency (%)
2 1
 
0.8%
3 53
39.8%
13 70
52.6%
15 6
 
4.5%
30 1
 
0.8%
31 1
 
0.8%
35 1
 
0.8%
ValueCountFrequency (%)
35 1
 
0.8%
31 1
 
0.8%
30 1
 
0.8%
15 6
 
4.5%
13 70
52.6%
3 53
39.8%
2 1
 
0.8%
Distinct7
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
영업중
70 
폐업
53 
전출
 
6
허가취소
 
1
등록취소
 
1
Other values (2)
 
2

Length

Max length4
Median length3
Mean length2.5714286
Min length2

Unique

Unique4 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 70
52.6%
폐업 53
39.8%
전출 6
 
4.5%
허가취소 1
 
0.8%
등록취소 1
 
0.8%
휴업 1
 
0.8%
직권말소 1
 
0.8%

Length

2024-05-11T00:28:06.032989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:28:06.559367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 70
52.6%
폐업 53
39.8%
전출 6
 
4.5%
허가취소 1
 
0.8%
등록취소 1
 
0.8%
휴업 1
 
0.8%
직권말소 1
 
0.8%

폐업일자
Date

MISSING 

Distinct58
Distinct (%)96.7%
Missing73
Missing (%)54.9%
Memory size1.2 KiB
Minimum1997-12-17 00:00:00
Maximum2024-03-21 00:00:00
2024-05-11T00:28:07.296119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:28:08.044024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing132
Missing (%)99.2%
Memory size1.2 KiB
Minimum2024-01-11 00:00:00
Maximum2024-01-11 00:00:00
2024-05-11T00:28:08.391328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:28:08.670572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

휴업종료일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing132
Missing (%)99.2%
Memory size1.2 KiB
Minimum2025-01-10 00:00:00
Maximum2025-01-10 00:00:00
2024-05-11T00:28:08.996255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:28:09.368948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing133
Missing (%)100.0%
Memory size1.3 KiB

전화번호
Text

MISSING 

Distinct56
Distinct (%)100.0%
Missing77
Missing (%)57.9%
Memory size1.2 KiB
2024-05-11T00:28:10.008598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length13
Mean length9.7321429
Min length6

Characters and Unicode

Total characters545
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)100.0%

Sample

1st row921-2400
2nd row474-7155
3rd row473-0707
4th row02-472-9300
5th row3784-3333
ValueCountFrequency (%)
921-2400 1
 
1.8%
474-7155 1
 
1.8%
488-5140,1577-6407 1
 
1.8%
02-1599-9660 1
 
1.8%
02-479-4271 1
 
1.8%
725-3411 1
 
1.8%
02-402-5107 1
 
1.8%
569-5959 1
 
1.8%
1661-3827 1
 
1.8%
1566-3695 1
 
1.8%
Other values (46) 46
82.1%
2024-05-11T00:28:11.147143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 78
14.3%
0 69
12.7%
2 66
12.1%
4 57
10.5%
7 55
10.1%
1 42
7.7%
6 41
7.5%
5 40
7.3%
8 36
6.6%
3 32
5.9%
Other values (2) 29
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 465
85.3%
Dash Punctuation 78
 
14.3%
Other Punctuation 2
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 69
14.8%
2 66
14.2%
4 57
12.3%
7 55
11.8%
1 42
9.0%
6 41
8.8%
5 40
8.6%
8 36
7.7%
3 32
6.9%
9 27
 
5.8%
Dash Punctuation
ValueCountFrequency (%)
- 78
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 545
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 78
14.3%
0 69
12.7%
2 66
12.1%
4 57
10.5%
7 55
10.1%
1 42
7.7%
6 41
7.5%
5 40
7.3%
8 36
6.6%
3 32
5.9%
Other values (2) 29
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 545
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 78
14.3%
0 69
12.7%
2 66
12.1%
4 57
10.5%
7 55
10.1%
1 42
7.7%
6 41
7.5%
5 40
7.3%
8 36
6.6%
3 32
5.9%
Other values (2) 29
 
5.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing133
Missing (%)100.0%
Memory size1.3 KiB

소재지우편번호
Text

MISSING 

Distinct45
Distinct (%)66.2%
Missing65
Missing (%)48.9%
Memory size1.2 KiB
2024-05-11T00:28:11.809283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1617647
Min length6

Characters and Unicode

Total characters419
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)45.6%

Sample

1st row134822
2nd row134890
3rd row134848
4th row134801
5th row134843
ValueCountFrequency (%)
134851 6
 
8.8%
134785 5
 
7.4%
134859 3
 
4.4%
134843 3
 
4.4%
134844 2
 
2.9%
134-822 2
 
2.9%
134861 2
 
2.9%
134867 2
 
2.9%
134874 2
 
2.9%
134-859 2
 
2.9%
Other values (35) 39
57.4%
2024-05-11T00:28:12.884318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 90
21.5%
4 87
20.8%
3 78
18.6%
8 64
15.3%
7 23
 
5.5%
5 21
 
5.0%
2 12
 
2.9%
9 11
 
2.6%
0 11
 
2.6%
- 11
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 408
97.4%
Dash Punctuation 11
 
2.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 90
22.1%
4 87
21.3%
3 78
19.1%
8 64
15.7%
7 23
 
5.6%
5 21
 
5.1%
2 12
 
2.9%
9 11
 
2.7%
0 11
 
2.7%
6 11
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 419
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 90
21.5%
4 87
20.8%
3 78
18.6%
8 64
15.3%
7 23
 
5.5%
5 21
 
5.0%
2 12
 
2.9%
9 11
 
2.6%
0 11
 
2.6%
- 11
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 419
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 90
21.5%
4 87
20.8%
3 78
18.6%
8 64
15.3%
7 23
 
5.5%
5 21
 
5.0%
2 12
 
2.9%
9 11
 
2.6%
0 11
 
2.6%
- 11
 
2.6%
Distinct130
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-05-11T00:28:13.505335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length34
Mean length27.714286
Min length16

Characters and Unicode

Total characters3686
Distinct characters164
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

Unique127 ?
Unique (%)95.5%

Sample

1st row서울특별시 강동구 둔촌동 454-1번지
2nd row서울특별시 강동구 성내동 430-12번지 화영빌딩302호
3rd row서울특별시 강동구 성내동 455-17번지 남광빌딩 A-201
4th row서울특별시 강동구 고덕동 210-1번지
5th row서울특별시 강동구 182-4번지 종로구청진동원일빌딩401
ValueCountFrequency (%)
서울특별시 133
18.9%
강동구 132
18.8%
천호동 44
 
6.3%
성내동 43
 
6.1%
암사동 13
 
1.8%
명일동 10
 
1.4%
길동 9
 
1.3%
둔촌동 6
 
0.9%
449-49번지 6
 
0.9%
힐탑오피스텔 5
 
0.7%
Other values (240) 302
43.0%
2024-05-11T00:28:14.616879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
620
 
16.8%
277
 
7.5%
4 153
 
4.2%
145
 
3.9%
140
 
3.8%
134
 
3.6%
133
 
3.6%
133
 
3.6%
133
 
3.6%
133
 
3.6%
Other values (154) 1685
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2153
58.4%
Decimal Number 782
 
21.2%
Space Separator 620
 
16.8%
Dash Punctuation 119
 
3.2%
Uppercase Letter 7
 
0.2%
Other Punctuation 3
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
277
 
12.9%
145
 
6.7%
140
 
6.5%
134
 
6.2%
133
 
6.2%
133
 
6.2%
133
 
6.2%
133
 
6.2%
113
 
5.2%
68
 
3.2%
Other values (132) 744
34.6%
Decimal Number
ValueCountFrequency (%)
4 153
19.6%
1 131
16.8%
2 91
11.6%
0 85
10.9%
3 78
10.0%
5 74
9.5%
9 55
 
7.0%
6 49
 
6.3%
7 38
 
4.9%
8 28
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
B 2
28.6%
K 1
14.3%
N 1
14.3%
P 1
14.3%
D 1
14.3%
A 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 2
66.7%
/ 1
33.3%
Space Separator
ValueCountFrequency (%)
620
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 119
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2153
58.4%
Common 1526
41.4%
Latin 7
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
277
 
12.9%
145
 
6.7%
140
 
6.5%
134
 
6.2%
133
 
6.2%
133
 
6.2%
133
 
6.2%
133
 
6.2%
113
 
5.2%
68
 
3.2%
Other values (132) 744
34.6%
Common
ValueCountFrequency (%)
620
40.6%
4 153
 
10.0%
1 131
 
8.6%
- 119
 
7.8%
2 91
 
6.0%
0 85
 
5.6%
3 78
 
5.1%
5 74
 
4.8%
9 55
 
3.6%
6 49
 
3.2%
Other values (6) 71
 
4.7%
Latin
ValueCountFrequency (%)
B 2
28.6%
K 1
14.3%
N 1
14.3%
P 1
14.3%
D 1
14.3%
A 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2153
58.4%
ASCII 1533
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
620
40.4%
4 153
 
10.0%
1 131
 
8.5%
- 119
 
7.8%
2 91
 
5.9%
0 85
 
5.5%
3 78
 
5.1%
5 74
 
4.8%
9 55
 
3.6%
6 49
 
3.2%
Other values (12) 78
 
5.1%
Hangul
ValueCountFrequency (%)
277
 
12.9%
145
 
6.7%
140
 
6.5%
134
 
6.2%
133
 
6.2%
133
 
6.2%
133
 
6.2%
133
 
6.2%
113
 
5.2%
68
 
3.2%
Other values (132) 744
34.6%

도로명주소
Text

MISSING 

Distinct129
Distinct (%)99.2%
Missing3
Missing (%)2.3%
Memory size1.2 KiB
2024-05-11T00:28:15.373436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length41
Mean length35.815385
Min length23

Characters and Unicode

Total characters4656
Distinct characters177
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

Unique128 ?
Unique (%)98.5%

Sample

1st row서울특별시 강동구 진황도로 162-1 (둔촌동)
2nd row서울특별시 강동구 강동대로53길 80 (성내동,화영빌딩302호)
3rd row서울특별시 강동구 올림픽로48길 34 (성내동,남광빌딩 A-201)
4th row서울특별시 강동구 고덕로 397 (고덕동)
5th row서울특별시 강동구 양재대로99길 5, 302호 (성내동,기풍빌딩)
ValueCountFrequency (%)
서울특별시 130
 
15.0%
강동구 129
 
14.9%
성내동 31
 
3.6%
천호대로 31
 
3.6%
천호동 30
 
3.5%
올림픽로 11
 
1.3%
2층 11
 
1.3%
암사동 11
 
1.3%
양재대로 10
 
1.2%
1073 10
 
1.2%
Other values (301) 460
53.2%
2024-05-11T00:28:16.605697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
763
 
16.4%
282
 
6.1%
1 181
 
3.9%
176
 
3.8%
, 164
 
3.5%
148
 
3.2%
139
 
3.0%
138
 
3.0%
) 131
 
2.8%
( 131
 
2.8%
Other values (167) 2403
51.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2643
56.8%
Decimal Number 801
 
17.2%
Space Separator 763
 
16.4%
Other Punctuation 165
 
3.5%
Close Punctuation 131
 
2.8%
Open Punctuation 131
 
2.8%
Dash Punctuation 12
 
0.3%
Uppercase Letter 10
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
282
 
10.7%
176
 
6.7%
148
 
5.6%
139
 
5.3%
138
 
5.2%
130
 
4.9%
130
 
4.9%
130
 
4.9%
130
 
4.9%
130
 
4.9%
Other values (145) 1110
42.0%
Decimal Number
ValueCountFrequency (%)
1 181
22.6%
2 125
15.6%
0 115
14.4%
3 82
10.2%
7 63
 
7.9%
4 59
 
7.4%
6 58
 
7.2%
5 50
 
6.2%
9 37
 
4.6%
8 31
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
B 5
50.0%
A 1
 
10.0%
K 1
 
10.0%
N 1
 
10.0%
P 1
 
10.0%
D 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
, 164
99.4%
/ 1
 
0.6%
Space Separator
ValueCountFrequency (%)
763
100.0%
Close Punctuation
ValueCountFrequency (%)
) 131
100.0%
Open Punctuation
ValueCountFrequency (%)
( 131
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2643
56.8%
Common 2003
43.0%
Latin 10
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
282
 
10.7%
176
 
6.7%
148
 
5.6%
139
 
5.3%
138
 
5.2%
130
 
4.9%
130
 
4.9%
130
 
4.9%
130
 
4.9%
130
 
4.9%
Other values (145) 1110
42.0%
Common
ValueCountFrequency (%)
763
38.1%
1 181
 
9.0%
, 164
 
8.2%
) 131
 
6.5%
( 131
 
6.5%
2 125
 
6.2%
0 115
 
5.7%
3 82
 
4.1%
7 63
 
3.1%
4 59
 
2.9%
Other values (6) 189
 
9.4%
Latin
ValueCountFrequency (%)
B 5
50.0%
A 1
 
10.0%
K 1
 
10.0%
N 1
 
10.0%
P 1
 
10.0%
D 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2643
56.8%
ASCII 2013
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
763
37.9%
1 181
 
9.0%
, 164
 
8.1%
) 131
 
6.5%
( 131
 
6.5%
2 125
 
6.2%
0 115
 
5.7%
3 82
 
4.1%
7 63
 
3.1%
4 59
 
2.9%
Other values (12) 199
 
9.9%
Hangul
ValueCountFrequency (%)
282
 
10.7%
176
 
6.7%
148
 
5.6%
139
 
5.3%
138
 
5.2%
130
 
4.9%
130
 
4.9%
130
 
4.9%
130
 
4.9%
130
 
4.9%
Other values (145) 1110
42.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct47
Distinct (%)56.0%
Missing49
Missing (%)36.8%
Infinite0
Infinite (%)0.0%
Mean16111.821
Minimum5211
Maximum134864
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T00:28:17.157012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5211
5-th percentile5238
Q15300.75
median5340
Q35390.25
95-th percentile134751.5
Maximum134864
Range129653
Interquartile range (IQR)89.5

Descriptive statistics

Standard deviation35972.685
Coefficient of variation (CV)2.2326889
Kurtosis7.6070039
Mean16111.821
Median Absolute Deviation (MAD)43.5
Skewness3.0702296
Sum1353393
Variance1.294034 × 109
MonotonicityNot monotonic
2024-05-11T00:28:17.731984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
5328 8
 
6.0%
5340 5
 
3.8%
5376 4
 
3.0%
5398 4
 
3.0%
5269 3
 
2.3%
5408 3
 
2.3%
5248 3
 
2.3%
5236 3
 
2.3%
5257 2
 
1.5%
5238 2
 
1.5%
Other values (37) 47
35.3%
(Missing) 49
36.8%
ValueCountFrequency (%)
5211 1
 
0.8%
5236 3
2.3%
5238 2
1.5%
5246 1
 
0.8%
5248 3
2.3%
5257 2
1.5%
5264 2
1.5%
5269 3
2.3%
5292 2
1.5%
5296 1
 
0.8%
ValueCountFrequency (%)
134864 1
 
0.8%
134859 2
1.5%
134840 1
 
0.8%
134753 1
 
0.8%
134743 1
 
0.8%
134031 1
 
0.8%
5408 3
2.3%
5407 1
 
0.8%
5403 1
 
0.8%
5402 1
 
0.8%
Distinct131
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-05-11T00:28:18.492791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length18
Mean length8.4135338
Min length3

Characters and Unicode

Total characters1119
Distinct characters238
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

Unique129 ?
Unique (%)97.0%

Sample

1st row(주)한가람여행사-국외
2nd row(주)월드탑여행사
3rd row(주)길차이나여행사
4th row신동아고속관광
5th row스파투어
ValueCountFrequency (%)
주식회사 17
 
10.3%
여행사 3
 
1.8%
항공여행사 3
 
1.8%
하이투어 2
 
1.2%
주)동산관광 2
 
1.2%
토다아도나이레 1
 
0.6%
주)지이티코퍼레이션 1
 
0.6%
프렌즈 1
 
0.6%
자유여행 1
 
0.6%
레볼리 1
 
0.6%
Other values (133) 133
80.6%
2024-05-11T00:28:20.957034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
83
 
7.4%
( 68
 
6.1%
) 68
 
6.1%
47
 
4.2%
39
 
3.5%
38
 
3.4%
35
 
3.1%
35
 
3.1%
32
 
2.9%
26
 
2.3%
Other values (228) 648
57.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 873
78.0%
Open Punctuation 68
 
6.1%
Close Punctuation 68
 
6.1%
Uppercase Letter 54
 
4.8%
Space Separator 32
 
2.9%
Lowercase Letter 12
 
1.1%
Other Punctuation 6
 
0.5%
Dash Punctuation 3
 
0.3%
Decimal Number 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
83
 
9.5%
47
 
5.4%
39
 
4.5%
38
 
4.4%
35
 
4.0%
35
 
4.0%
26
 
3.0%
22
 
2.5%
21
 
2.4%
21
 
2.4%
Other values (192) 506
58.0%
Uppercase Letter
ValueCountFrequency (%)
T 6
11.1%
R 6
11.1%
O 5
 
9.3%
U 4
 
7.4%
G 4
 
7.4%
N 3
 
5.6%
K 3
 
5.6%
C 3
 
5.6%
A 3
 
5.6%
E 3
 
5.6%
Other values (9) 14
25.9%
Lowercase Letter
ValueCountFrequency (%)
o 2
16.7%
e 2
16.7%
l 2
16.7%
v 1
8.3%
a 1
8.3%
r 1
8.3%
f 1
8.3%
i 1
8.3%
d 1
8.3%
Other Punctuation
ValueCountFrequency (%)
. 4
66.7%
& 2
33.3%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
0 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 68
100.0%
Close Punctuation
ValueCountFrequency (%)
) 68
100.0%
Space Separator
ValueCountFrequency (%)
32
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 873
78.0%
Common 180
 
16.1%
Latin 66
 
5.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
83
 
9.5%
47
 
5.4%
39
 
4.5%
38
 
4.4%
35
 
4.0%
35
 
4.0%
26
 
3.0%
22
 
2.5%
21
 
2.4%
21
 
2.4%
Other values (192) 506
58.0%
Latin
ValueCountFrequency (%)
T 6
 
9.1%
R 6
 
9.1%
O 5
 
7.6%
U 4
 
6.1%
G 4
 
6.1%
N 3
 
4.5%
K 3
 
4.5%
C 3
 
4.5%
A 3
 
4.5%
E 3
 
4.5%
Other values (18) 26
39.4%
Common
ValueCountFrequency (%)
( 68
37.8%
) 68
37.8%
32
17.8%
. 4
 
2.2%
- 3
 
1.7%
1 2
 
1.1%
& 2
 
1.1%
0 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 873
78.0%
ASCII 246
 
22.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
83
 
9.5%
47
 
5.4%
39
 
4.5%
38
 
4.4%
35
 
4.0%
35
 
4.0%
26
 
3.0%
22
 
2.5%
21
 
2.4%
21
 
2.4%
Other values (192) 506
58.0%
ASCII
ValueCountFrequency (%)
( 68
27.6%
) 68
27.6%
32
13.0%
T 6
 
2.4%
R 6
 
2.4%
O 5
 
2.0%
. 4
 
1.6%
U 4
 
1.6%
G 4
 
1.6%
N 3
 
1.2%
Other values (26) 46
18.7%
Distinct128
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2003-02-06 13:32:14
Maximum2024-04-18 15:57:11
2024-05-11T00:28:21.734736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:28:22.566726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
I
67 
U
66 

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 67
50.4%
U 66
49.6%

Length

2024-05-11T00:28:22.987469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:28:23.293131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 67
50.4%
u 66
49.6%
Distinct62
Distinct (%)46.6%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:06:00
2024-05-11T00:28:23.681734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:28:24.194895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing133
Missing (%)100.0%
Memory size1.3 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct95
Distinct (%)72.5%
Missing2
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean211771.7
Minimum209427.41
Maximum215641.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T00:28:24.724248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum209427.41
5-th percentile210704.67
Q1211060.05
median211542.31
Q3212315.22
95-th percentile213672.45
Maximum215641.7
Range6214.2917
Interquartile range (IQR)1255.1682

Descriptive statistics

Standard deviation981.81771
Coefficient of variation (CV)0.0046362083
Kurtosis3.2948235
Mean211771.7
Median Absolute Deviation (MAD)561.06334
Skewness1.4533144
Sum27742093
Variance963966.02
MonotonicityNot monotonic
2024-05-11T00:28:25.585732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
211542.314116941 10
 
7.5%
211976.269176583 3
 
2.3%
211376.044890555 3
 
2.3%
210845.844797087 3
 
2.3%
210970.75707265 3
 
2.3%
210871.293674366 3
 
2.3%
211980.248325806 3
 
2.3%
212334.9584644 3
 
2.3%
212501.369116329 2
 
1.5%
211364.147402418 2
 
1.5%
Other values (85) 96
72.2%
ValueCountFrequency (%)
209427.410217251 1
0.8%
210587.488645319 1
0.8%
210634.358221322 1
0.8%
210636.447352415 1
0.8%
210670.952245602 2
1.5%
210704.527278413 1
0.8%
210704.803064272 1
0.8%
210726.755874418 1
0.8%
210744.81545375 1
0.8%
210804.329104051 1
0.8%
ValueCountFrequency (%)
215641.701931 1
0.8%
215313.230134197 1
0.8%
215008.531272849 1
0.8%
214958.713997465 1
0.8%
213700.877714971 2
1.5%
213698.007355762 1
0.8%
213646.900696177 1
0.8%
213522.288105074 1
0.8%
213076.565407877 1
0.8%
212995.097815501 1
0.8%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct95
Distinct (%)72.5%
Missing2
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean448532.78
Minimum445829.73
Maximum451469.21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T00:28:26.043792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum445829.73
5-th percentile446998.97
Q1447708.35
median448421.09
Q3449282.31
95-th percentile450331.52
Maximum451469.21
Range5639.4849
Interquartile range (IQR)1573.9585

Descriptive statistics

Standard deviation1069.5774
Coefficient of variation (CV)0.0023846137
Kurtosis-0.42571737
Mean448532.78
Median Absolute Deviation (MAD)811.13926
Skewness0.32650492
Sum58757794
Variance1143995.8
MonotonicityNot monotonic
2024-05-11T00:28:26.473957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
448273.114107211 10
 
7.5%
447462.077236492 3
 
2.3%
448340.166805157 3
 
2.3%
448679.382603258 3
 
2.3%
448713.31669728 3
 
2.3%
448421.092547965 3
 
2.3%
448111.060277943 3
 
2.3%
450346.790651613 3
 
2.3%
449282.31038379 2
 
1.5%
449895.718280127 2
 
1.5%
Other values (85) 96
72.2%
ValueCountFrequency (%)
445829.725943441 1
0.8%
446777.558590088 1
0.8%
446778.592045172 1
0.8%
446824.955578969 1
0.8%
446942.269130178 1
0.8%
446959.93759108 1
0.8%
446990.658011291 1
0.8%
447007.285220271 1
0.8%
447072.845409151 1
0.8%
447125.42728615 1
0.8%
ValueCountFrequency (%)
451469.210879017 1
 
0.8%
450750.547533484 1
 
0.8%
450615.470981382 1
 
0.8%
450604.595952 1
 
0.8%
450346.790651613 3
2.3%
450316.255472825 2
1.5%
450278.100930843 2
1.5%
450260.094521686 1
 
0.8%
450251.758832252 1
 
0.8%
450169.517626003 1
 
0.8%
Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
국내외여행업
75 
<NA>
58 

Length

Max length6
Median length6
Mean length5.1278195
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내외여행업 75
56.4%
<NA> 58
43.6%

Length

2024-05-11T00:28:26.987170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:28:27.385348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내외여행업 75
56.4%
na 58
43.6%
Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
94 
관광사업
39 

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> 94
70.7%
관광사업 39
29.3%

Length

2024-05-11T00:28:27.872504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:28:28.314321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 94
70.7%
관광사업 39
29.3%

지역구분명
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing131
Missing (%)98.5%
Memory size1.2 KiB
2024-05-11T00:28:28.715377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

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

Characters and Unicode

Total characters11
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

Unique2 ?
Unique (%)100.0%

Sample

1st row일반주거지역
2nd row준주거지역
ValueCountFrequency (%)
일반주거지역 1
50.0%
준주거지역 1
50.0%
2024-05-11T00:28:29.769424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2
18.2%
2
18.2%
2
18.2%
2
18.2%
1
9.1%
1
9.1%
1
9.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2
18.2%
2
18.2%
2
18.2%
2
18.2%
1
9.1%
1
9.1%
1
9.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2
18.2%
2
18.2%
2
18.2%
2
18.2%
1
9.1%
1
9.1%
1
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2
18.2%
2
18.2%
2
18.2%
2
18.2%
1
9.1%
1
9.1%
1
9.1%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)50.0%
Missing121
Missing (%)91.0%
Infinite0
Infinite (%)0.0%
Mean3
Minimum0
Maximum18
Zeros6
Zeros (%)4.5%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T00:28:30.227771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.5
Q34.25
95-th percentile10.85
Maximum18
Range18
Interquartile range (IQR)4.25

Descriptive statistics

Standard deviation5.1522281
Coefficient of variation (CV)1.7174094
Kurtosis7.4070245
Mean3
Median Absolute Deviation (MAD)0.5
Skewness2.5699747
Sum36
Variance26.545455
MonotonicityNot monotonic
2024-05-11T00:28:30.667010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 6
 
4.5%
5 2
 
1.5%
18 1
 
0.8%
3 1
 
0.8%
1 1
 
0.8%
4 1
 
0.8%
(Missing) 121
91.0%
ValueCountFrequency (%)
0 6
4.5%
1 1
 
0.8%
3 1
 
0.8%
4 1
 
0.8%
5 2
 
1.5%
18 1
 
0.8%
ValueCountFrequency (%)
18 1
 
0.8%
5 2
 
1.5%
4 1
 
0.8%
3 1
 
0.8%
1 1
 
0.8%
0 6
4.5%

주변환경명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
128 
기타
 
5

Length

Max length4
Median length4
Mean length3.924812
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> 128
96.2%
기타 5
 
3.8%

Length

2024-05-11T00:28:31.320050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:28:31.701835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 128
96.2%
기타 5
 
3.8%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing133
Missing (%)100.0%
Memory size1.3 KiB

보험기관명
Categorical

IMBALANCE 

Distinct16
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
89 
서울보증보험주식회사
15 
한국관광협회중앙회 여행공제회
공제(영업)보증
 
4
한국관광협회중앙회
 
3
Other values (11)
13 

Length

Max length20
Median length4
Mean length6.1353383
Min length4

Unique

Unique10 ?
Unique (%)7.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 89
66.9%
서울보증보험주식회사 15
 
11.3%
한국관광협회중앙회 여행공제회 9
 
6.8%
공제(영업)보증 4
 
3.0%
한국관광협회중앙회 3
 
2.3%
서울보증보험 3
 
2.3%
공제9보증)보증보험 1
 
0.8%
여행공제회 1
 
0.8%
서울보증보험(주) 1
 
0.8%
서울특별시관광협회장 1
 
0.8%
Other values (6) 6
 
4.5%

Length

2024-05-11T00:28:32.155048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 89
62.2%
서울보증보험주식회사 15
 
10.5%
한국관광협회중앙회 12
 
8.4%
여행공제회 10
 
7.0%
공제(영업)보증 4
 
2.8%
서울보증보험 4
 
2.8%
공제9보증)보증보험 1
 
0.7%
서울보증보험(주 1
 
0.7%
서울특별시관광협회장 1
 
0.7%
한국관광협회 1
 
0.7%
Other values (5) 5
 
3.5%

건물용도명
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
125 
근린생활시설
 
5
사무실
 
3

Length

Max length6
Median length4
Mean length4.0526316
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> 125
94.0%
근린생활시설 5
 
3.8%
사무실 3
 
2.3%

Length

2024-05-11T00:28:32.867773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:28:33.267151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 125
94.0%
근린생활시설 5
 
3.8%
사무실 3
 
2.3%

지상층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
121 
0
 
6
4
 
3
3
 
2
15
 
1

Length

Max length4
Median length4
Mean length3.7368421
Min length1

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 121
91.0%
0 6
 
4.5%
4 3
 
2.3%
3 2
 
1.5%
15 1
 
0.8%

Length

2024-05-11T00:28:33.635702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:28:34.011142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 121
91.0%
0 6
 
4.5%
4 3
 
2.3%
3 2
 
1.5%
15 1
 
0.8%

지하층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
124 
0
 
6
1
 
2
8
 
1

Length

Max length4
Median length4
Mean length3.7969925
Min length1

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 124
93.2%
0 6
 
4.5%
1 2
 
1.5%
8 1
 
0.8%

Length

2024-05-11T00:28:34.449325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:28:35.070472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 124
93.2%
0 6
 
4.5%
1 2
 
1.5%
8 1
 
0.8%

객실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
131 
0
 
2

Length

Max length4
Median length4
Mean length3.9548872
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> 131
98.5%
0 2
 
1.5%

Length

2024-05-11T00:28:35.810748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:28:36.243888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 131
98.5%
0 2
 
1.5%

건축연면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
131 
0
 
2

Length

Max length4
Median length4
Mean length3.9548872
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> 131
98.5%
0 2
 
1.5%

Length

2024-05-11T00:28:36.577834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:28:36.917078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 131
98.5%
0 2
 
1.5%

영문상호명
Text

MISSING 

Distinct7
Distinct (%)100.0%
Missing126
Missing (%)94.7%
Memory size1.2 KiB
2024-05-11T00:28:37.305612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length16
Mean length20.142857
Min length13

Characters and Unicode

Total characters141
Distinct characters34
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)100.0%

Sample

1st rowMiso Tour Co.,Ltd
2nd rowDreaming Tour Travel Service Co.Ltd.
3rd rowIlyeon Investment Tour Co.,Ltd
4th rowT-Tour Co.,Ltd
5th rowHana School Tour
ValueCountFrequency (%)
tour 4
18.2%
co.,ltd 3
13.6%
miso 1
 
4.5%
hana 1
 
4.5%
jns 1
 
4.5%
leisure 1
 
4.5%
golf 1
 
4.5%
nh 1
 
4.5%
school 1
 
4.5%
investment 1
 
4.5%
Other values (7) 7
31.8%
2024-05-11T00:28:38.546433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 15
 
10.6%
15
 
10.6%
r 9
 
6.4%
e 9
 
6.4%
T 7
 
5.0%
t 6
 
4.3%
n 6
 
4.3%
u 6
 
4.3%
L 5
 
3.5%
i 5
 
3.5%
Other values (24) 58
41.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 86
61.0%
Uppercase Letter 30
 
21.3%
Space Separator 15
 
10.6%
Other Punctuation 9
 
6.4%
Dash Punctuation 1
 
0.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 15
17.4%
r 9
10.5%
e 9
10.5%
t 6
 
7.0%
n 6
 
7.0%
u 6
 
7.0%
i 5
 
5.8%
d 5
 
5.8%
l 5
 
5.8%
a 4
 
4.7%
Other values (8) 16
18.6%
Uppercase Letter
ValueCountFrequency (%)
T 7
23.3%
L 5
16.7%
C 4
13.3%
S 3
10.0%
H 3
10.0%
I 2
 
6.7%
N 2
 
6.7%
G 1
 
3.3%
J 1
 
3.3%
M 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 5
55.6%
, 3
33.3%
' 1
 
11.1%
Space Separator
ValueCountFrequency (%)
15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 116
82.3%
Common 25
 
17.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 15
 
12.9%
r 9
 
7.8%
e 9
 
7.8%
T 7
 
6.0%
t 6
 
5.2%
n 6
 
5.2%
u 6
 
5.2%
L 5
 
4.3%
i 5
 
4.3%
d 5
 
4.3%
Other values (19) 43
37.1%
Common
ValueCountFrequency (%)
15
60.0%
. 5
 
20.0%
, 3
 
12.0%
- 1
 
4.0%
' 1
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 141
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 15
 
10.6%
15
 
10.6%
r 9
 
6.4%
e 9
 
6.4%
T 7
 
5.0%
t 6
 
4.3%
n 6
 
4.3%
u 6
 
4.3%
L 5
 
3.5%
i 5
 
3.5%
Other values (24) 58
41.1%

영문상호주소
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
127 
Overseas Travel Business
 
4
Overseas Travel Agency
 
2

Length

Max length24
Median length4
Mean length4.8721805
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> 127
95.5%
Overseas Travel Business 4
 
3.0%
Overseas Travel Agency 2
 
1.5%

Length

2024-05-11T00:28:39.087824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:28:39.558195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 127
87.6%
overseas 6
 
4.1%
travel 6
 
4.1%
business 4
 
2.8%
agency 2
 
1.4%

선박총톤수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
131 
0
 
2

Length

Max length4
Median length4
Mean length3.9548872
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> 131
98.5%
0 2
 
1.5%

Length

2024-05-11T00:28:40.253164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:28:40.734008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 131
98.5%
0 2
 
1.5%

선박척수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
131 
0
 
2

Length

Max length4
Median length4
Mean length3.9548872
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> 131
98.5%
0 2
 
1.5%

Length

2024-05-11T00:28:41.188069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:28:41.651011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 131
98.5%
0 2
 
1.5%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing133
Missing (%)100.0%
Memory size1.3 KiB

무대면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
131 
0
 
2

Length

Max length4
Median length4
Mean length3.9548872
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> 131
98.5%
0 2
 
1.5%

Length

2024-05-11T00:28:42.180436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:28:42.670970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 131
98.5%
0 2
 
1.5%

좌석수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
131 
0
 
2

Length

Max length4
Median length4
Mean length3.9548872
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> 131
98.5%
0 2
 
1.5%

Length

2024-05-11T00:28:43.164430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:28:43.626962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 131
98.5%
0 2
 
1.5%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing133
Missing (%)100.0%
Memory size1.3 KiB

회의실별동시수용인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
131 
0
 
2

Length

Max length4
Median length4
Mean length3.9548872
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> 131
98.5%
0 2
 
1.5%

Length

2024-05-11T00:28:44.266286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:28:44.711232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 131
98.5%
0 2
 
1.5%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)57.9%
Missing114
Missing (%)85.7%
Infinite0
Infinite (%)0.0%
Mean37.515789
Minimum0
Maximum214
Zeros9
Zeros (%)6.8%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T00:28:45.114081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7.6
Q352.795
95-th percentile140.2
Maximum214
Range214
Interquartile range (IQR)52.795

Descriptive statistics

Standard deviation57.955128
Coefficient of variation (CV)1.5448196
Kurtosis3.8861656
Mean37.515789
Median Absolute Deviation (MAD)7.6
Skewness1.9530535
Sum712.8
Variance3358.7969
MonotonicityNot monotonic
2024-05-11T00:28:45.752931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.0 9
 
6.8%
132.0 1
 
0.8%
91.24 1
 
0.8%
20.99 1
 
0.8%
214.0 1
 
0.8%
89.0 1
 
0.8%
57.19 1
 
0.8%
37.38 1
 
0.8%
7.6 1
 
0.8%
48.4 1
 
0.8%
(Missing) 114
85.7%
ValueCountFrequency (%)
0.0 9
6.8%
7.6 1
 
0.8%
15.0 1
 
0.8%
20.99 1
 
0.8%
37.38 1
 
0.8%
48.4 1
 
0.8%
57.19 1
 
0.8%
89.0 1
 
0.8%
91.24 1
 
0.8%
132.0 1
 
0.8%
ValueCountFrequency (%)
214.0 1
0.8%
132.0 1
0.8%
91.24 1
0.8%
89.0 1
0.8%
57.19 1
0.8%
48.4 1
0.8%
37.38 1
0.8%
20.99 1
0.8%
15.0 1
0.8%
7.6 1
0.8%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing133
Missing (%)100.0%
Memory size1.3 KiB

놀이시설수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
131 
0
 
2

Length

Max length4
Median length4
Mean length3.9548872
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> 131
98.5%
0 2
 
1.5%

Length

2024-05-11T00:28:46.261487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:28:46.781105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 131
98.5%
0 2
 
1.5%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing133
Missing (%)100.0%
Memory size1.3 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing133
Missing (%)100.0%
Memory size1.3 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing133
Missing (%)100.0%
Memory size1.3 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing133
Missing (%)100.0%
Memory size1.3 KiB

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing133
Missing (%)100.0%
Memory size1.3 KiB

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing133
Missing (%)100.0%
Memory size1.3 KiB

자본금
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)38.3%
Missing86
Missing (%)64.7%
Infinite0
Infinite (%)0.0%
Mean3.221954 × 108
Minimum0
Maximum1 × 1010
Zeros1
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T00:28:47.372743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30000000
Q160000000
median1 × 108
Q31 × 108
95-th percentile4.4 × 108
Maximum1 × 1010
Range1 × 1010
Interquartile range (IQR)40000000

Descriptive statistics

Standard deviation1.44656 × 109
Coefficient of variation (CV)4.4896978
Kurtosis46.41727
Mean3.221954 × 108
Median Absolute Deviation (MAD)31905000
Skewness6.7947944
Sum1.5143184 × 1010
Variance2.0925357 × 1018
MonotonicityNot monotonic
2024-05-11T00:28:47.868881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
100000000 16
 
12.0%
60000000 8
 
6.0%
30000000 4
 
3.0%
150000000 3
 
2.3%
90000000 3
 
2.3%
647000000 1
 
0.8%
33000000 1
 
0.8%
91385088 1
 
0.8%
10000000000 1
 
0.8%
114655638 1
 
0.8%
Other values (8) 8
 
6.0%
(Missing) 86
64.7%
ValueCountFrequency (%)
0 1
 
0.8%
30000000 4
 
3.0%
33000000 1
 
0.8%
60000000 8
6.0%
60393021 1
 
0.8%
68095000 1
 
0.8%
90000000 3
 
2.3%
91385088 1
 
0.8%
92942068 1
 
0.8%
100000000 16
12.0%
ValueCountFrequency (%)
10000000000 1
 
0.8%
647000000 1
 
0.8%
500000000 1
 
0.8%
300000000 1
 
0.8%
200000000 1
 
0.8%
150000000 3
 
2.3%
115712843 1
 
0.8%
114655638 1
 
0.8%
100000000 16
12.0%
92942068 1
 
0.8%

보험시작일자
Real number (ℝ)

MISSING 

Distinct45
Distinct (%)100.0%
Missing88
Missing (%)66.2%
Infinite0
Infinite (%)0.0%
Mean20132526
Minimum20020724
Maximum20210213
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T00:28:48.391505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20020724
5-th percentile20030332
Q120110225
median20140620
Q320161022
95-th percentile20191081
Maximum20210213
Range189489
Interquartile range (IQR)50797

Descriptive statistics

Standard deviation48776.373
Coefficient of variation (CV)0.0024227647
Kurtosis0.21019224
Mean20132526
Median Absolute Deviation (MAD)29992
Skewness-0.82152586
Sum9.0596366 × 108
Variance2.3791346 × 109
MonotonicityNot monotonic
2024-05-11T00:28:48.894269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
20200731 1
 
0.8%
20160921 1
 
0.8%
20130830 1
 
0.8%
20141018 1
 
0.8%
20130410 1
 
0.8%
20130801 1
 
0.8%
20191224 1
 
0.8%
20161022 1
 
0.8%
20131204 1
 
0.8%
20151230 1
 
0.8%
Other values (35) 35
 
26.3%
(Missing) 88
66.2%
ValueCountFrequency (%)
20020724 1
0.8%
20021218 1
0.8%
20030312 1
0.8%
20030412 1
0.8%
20040316 1
0.8%
20080507 1
0.8%
20080804 1
0.8%
20100204 1
0.8%
20100510 1
0.8%
20100816 1
0.8%
ValueCountFrequency (%)
20210213 1
0.8%
20200731 1
0.8%
20191224 1
0.8%
20190508 1
0.8%
20190401 1
0.8%
20181206 1
0.8%
20181122 1
0.8%
20181001 1
0.8%
20180801 1
0.8%
20180527 1
0.8%

보험종료일자
Real number (ℝ)

MISSING 

Distinct45
Distinct (%)100.0%
Missing88
Missing (%)66.2%
Infinite0
Infinite (%)0.0%
Mean20142516
Minimum20030412
Maximum20220212
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T00:28:49.359188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20030412
5-th percentile20033037
Q120120225
median20150619
Q320171021
95-th percentile20201081
Maximum20220212
Range189800
Interquartile range (IQR)50796

Descriptive statistics

Standard deviation49373.954
Coefficient of variation (CV)0.0024512307
Kurtosis0.26428395
Mean20142516
Median Absolute Deviation (MAD)29991
Skewness-0.85660903
Sum9.0641322 × 108
Variance2.4377873 × 109
MonotonicityNot monotonic
2024-05-11T00:28:49.697992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
20210731 1
 
0.8%
20170920 1
 
0.8%
20140830 1
 
0.8%
20151017 1
 
0.8%
20140410 1
 
0.8%
20140731 1
 
0.8%
20201224 1
 
0.8%
20171021 1
 
0.8%
20141203 1
 
0.8%
20161229 1
 
0.8%
Other values (35) 35
 
26.3%
(Missing) 88
66.2%
ValueCountFrequency (%)
20030412 1
0.8%
20030724 1
0.8%
20031218 1
0.8%
20040312 1
0.8%
20050316 1
0.8%
20090507 1
0.8%
20090803 1
0.8%
20110204 1
0.8%
20110509 1
0.8%
20110816 1
0.8%
ValueCountFrequency (%)
20220212 1
0.8%
20210731 1
0.8%
20201224 1
0.8%
20200507 1
0.8%
20200331 1
0.8%
20191205 1
0.8%
20191121 1
0.8%
20190930 1
0.8%
20190731 1
0.8%
20190526 1
0.8%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing133
Missing (%)100.0%
Memory size1.3 KiB

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)57.9%
Missing114
Missing (%)85.7%
Infinite0
Infinite (%)0.0%
Mean37.473684
Minimum0
Maximum214
Zeros9
Zeros (%)6.8%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T00:28:50.042919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8
Q352.5
95-th percentile140.2
Maximum214
Range214
Interquartile range (IQR)52.5

Descriptive statistics

Standard deviation57.923674
Coefficient of variation (CV)1.545716
Kurtosis3.9081317
Mean37.473684
Median Absolute Deviation (MAD)8
Skewness1.9582407
Sum712
Variance3355.152
MonotonicityNot monotonic
2024-05-11T00:28:50.516810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 9
 
6.8%
132 1
 
0.8%
91 1
 
0.8%
21 1
 
0.8%
214 1
 
0.8%
89 1
 
0.8%
57 1
 
0.8%
37 1
 
0.8%
8 1
 
0.8%
48 1
 
0.8%
(Missing) 114
85.7%
ValueCountFrequency (%)
0 9
6.8%
8 1
 
0.8%
15 1
 
0.8%
21 1
 
0.8%
37 1
 
0.8%
48 1
 
0.8%
57 1
 
0.8%
89 1
 
0.8%
91 1
 
0.8%
132 1
 
0.8%
ValueCountFrequency (%)
214 1
0.8%
132 1
0.8%
91 1
0.8%
89 1
0.8%
57 1
0.8%
48 1
0.8%
37 1
0.8%
21 1
0.8%
15 1
0.8%
8 1
0.8%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03240000CDFI226002198400000119840709<NA>3폐업3폐업19990203<NA><NA><NA><NA><NA>134822서울특별시 강동구 둔촌동 454-1번지서울특별시 강동구 진황도로 162-1 (둔촌동)<NA>(주)한가람여행사-국외2003-02-06 13:32:14I2018-08-31 23:59:59.0<NA>212462.965418447714.039019국내외여행업관광사업<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
13240000CDFI226002199600000119960304<NA>3폐업3폐업20150917<NA><NA><NA>921-2400<NA>134890서울특별시 강동구 성내동 430-12번지 화영빌딩302호서울특별시 강동구 강동대로53길 80 (성내동,화영빌딩302호)<NA>(주)월드탑여행사2015-09-17 17:23:24I2018-08-31 23:59:59.0<NA>211680.85376447125.427286국내외여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23240000CDFI226002199600000319961015<NA>3폐업3폐업19971226<NA><NA><NA><NA><NA>134848서울특별시 강동구 성내동 455-17번지 남광빌딩 A-201서울특별시 강동구 올림픽로48길 34 (성내동,남광빌딩 A-201)<NA>(주)길차이나여행사2003-02-06 13:32:14I2018-08-31 23:59:59.0<NA>210704.527278447393.918782국내외여행업관광사업<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
33240000CDFI226002199600000419961228<NA>3폐업3폐업20011009<NA><NA><NA><NA><NA>134801서울특별시 강동구 고덕동 210-1번지서울특별시 강동구 고덕로 397 (고덕동)<NA>신동아고속관광2013-04-03 19:02:11I2018-08-31 23:59:59.0<NA>214958.713997450615.470981국내외여행업관광사업<NA><NA><NA><NA>한국관광협회중앙회<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>2013032620140326<NA>0
43240000CDFI226002199700000119970605<NA>3폐업3폐업20000529<NA><NA><NA><NA><NA><NA>서울특별시 강동구 182-4번지 종로구청진동원일빌딩401<NA><NA>스파투어2003-02-06 13:32:14I2018-08-31 23:59:59.0<NA><NA><NA>국내외여행업관광사업<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
53240000CDFI226002199700000219970613<NA>1영업/정상13영업중<NA><NA><NA><NA>474-7155<NA>134843서울특별시 강동구 성내동 396-21번지 기풍빌딩 302호서울특별시 강동구 양재대로99길 5, 302호 (성내동,기풍빌딩)<NA>(주)나의여행2009-01-28 13:59:52I2018-08-31 23:59:59.0<NA>212047.340188447726.819098국내외여행업관광사업<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>2002072420030724<NA><NA>
63240000CDFI226002199700000319970806<NA>3폐업3폐업19971217<NA><NA><NA><NA><NA><NA>서울특별시 강동구 99-4번지<NA><NA>(주)유미여행사2003-02-06 13:32:14I2018-08-31 23:59:59.0<NA><NA><NA>국내외여행업관광사업<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
73240000CDFI226002199800000119980518<NA>3폐업3폐업20000713<NA><NA><NA><NA><NA>134785서울특별시 강동구 천호동 449-49번지 힐탑오피스텔 1007호서울특별시 강동구 천호대로 1073, 1007호 (천호동,힐탑오피스텔)<NA>(주)씨항공2003-02-06 13:32:14I2018-08-31 23:59:59.0<NA>211542.314117448273.114107국내외여행업관광사업<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
83240000CDFI226002199900000119990305<NA>3폐업3폐업20150910<NA><NA><NA>473-0707<NA>134890서울특별시 강동구 성내동 428-6번지서울특별시 강동구 양재대로 1349 (성내동)<NA>(주)대벌항공여행사2015-09-10 10:35:30I2018-08-31 23:59:59.0<NA>211892.212205447180.141558국내외여행업관광사업<NA>5<NA><NA><NA>근린생활시설41<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93240000CDFI226002199900000219990315<NA>3폐업3폐업19990414<NA><NA><NA><NA><NA>134843서울특별시 강동구 성내동 244-3번지서울특별시 강동구 천호대로 1124 (성내동)<NA>평화관광(주)2003-02-06 13:32:14I2018-08-31 23:59:59.0<NA>211966.759282448015.084774국내외여행업관광사업<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
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
1233240000CDFI22600220230000032014-08-11<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 449-49 힐탑프라자 1422호서울특별시 강동구 천호대로 1073, 힐탑프라자 1422호 (천호동)5340(주)한투어리스트2023-02-23 15:05:52U2022-12-01 22:05:00.0<NA>211542.314117448273.114107<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1243240000CDFI22600220230000042014-04-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 암사동 441-10 정산아파트 382호서울특별시 강동구 고덕로 47, 3층 301-382호 (암사동, 정산아파트)5238(주)유로지엔느2023-03-15 14:30:00I2022-12-02 23:07:00.0<NA>211458.648093450316.255473<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1253240000CDFI22600220230000052023-04-06<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 217-83 B02호서울특별시 강동구 구천면로40길 14, B02호 (천호동)5310깍뜨여행2023-04-13 08:54:35U2022-12-03 23:05:00.0<NA>211792.513833449232.231811<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1263240000CDFI22600220230000062015-09-24<NA>1영업/정상13영업중<NA><NA><NA><NA>02-733-1155<NA><NA>서울특별시 강동구 성내동 441 304호서울특별시 강동구 양재대로 1307, 304호 (성내동)5408주식회사 조아트래블2023-05-24 15:46:08I2022-12-04 22:06:00.0<NA>211773.14295446778.592045<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1273240000CDFI22600220230000072023-10-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 425-5 대우 한강 베네시티서울특별시 강동구 올림픽로 664, 102동 705호 (천호동, 대우 한강 베네시티)5328온세상 여행사2023-10-31 21:32:58U2022-11-01 00:02:00.0<NA>210970.757073448713.316697<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1283240000CDFI22600220230000082023-11-06<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 명일동 305-9 애경빌딩서울특별시 강동구 고덕로 166, 102호 (명일동, 애경빌딩)5257클로버투어2023-11-15 11:43:54U2022-10-31 23:07:00.0<NA>212631.988895450260.094522<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1293240000CDFI22600220240000012018-03-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 성내동 469-6 남경빌딩서울특별시 강동구 강동대로 189, 남경빌딩 B1-4호 (성내동)5402블루오션다이브&트래블2024-02-05 09:02:34U2023-12-02 00:07:00.0<NA>211220.340952446942.26913<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1303240000CDFI22600220240000032024-03-20<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 성내동 197-3 블루타워서울특별시 강동구 천호대로170길 34, 블루타워 302호 (성내동)5381골프1012024-03-26 09:07:50U2023-12-02 22:08:00.0<NA>211650.564418447971.158001<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1313240000CDFI22600220240000042024-04-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 명일동 312-68 아성플러스서울특별시 강동구 양재대로143길 16, 2층 201호 (명일동, 아성플러스)5257주식회사 심용환역사앤교육연구소2024-04-04 17:23:24I2023-12-04 00:06:00.0<NA>212569.292037449944.017712<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1323240000CDFI22600220240000052023-03-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 425-5 대우 한강 베네시티서울특별시 강동구 올림픽로 664, 지2층 B201호 (천호동, 대우 한강 베네시티)5328천지여행사2024-04-18 15:57:11I2023-12-03 22:00:00.0<NA>210970.757073448713.316697<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>