Overview

Dataset statistics

Number of variables60
Number of observations143
Missing cells5242
Missing cells (%)61.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory72.2 KiB
Average record size in memory516.9 B

Variable types

Categorical10
Text10
DateTime7
Numeric11
Unsupported22

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
Author광진구
URLhttps://data.seoul.go.kr/dataList/OA-17581/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영문상호명 has constant value ""Constant
영문상호주소 has constant value ""Constant
보험기관명 is highly imbalanced (64.2%)Imbalance
건물용도명 is highly imbalanced (72.6%)Imbalance
지하층수 is highly imbalanced (81.3%)Imbalance
인허가취소일자 has 135 (94.4%) missing valuesMissing
폐업일자 has 69 (48.3%) missing valuesMissing
휴업시작일자 has 140 (97.9%) missing valuesMissing
휴업종료일자 has 140 (97.9%) missing valuesMissing
재개업일자 has 143 (100.0%) missing valuesMissing
전화번호 has 64 (44.8%) missing valuesMissing
소재지면적 has 143 (100.0%) missing valuesMissing
소재지우편번호 has 84 (58.7%) missing valuesMissing
도로명주소 has 4 (2.8%) missing valuesMissing
도로명우편번호 has 42 (29.4%) missing valuesMissing
업태구분명 has 143 (100.0%) missing valuesMissing
좌표정보(X) has 3 (2.1%) missing valuesMissing
좌표정보(Y) has 3 (2.1%) missing valuesMissing
지역구분명 has 138 (96.5%) missing valuesMissing
총층수 has 133 (93.0%) missing valuesMissing
주변환경명 has 139 (97.2%) missing valuesMissing
제작취급품목내용 has 143 (100.0%) missing valuesMissing
지상층수 has 133 (93.0%) missing valuesMissing
객실수 has 143 (100.0%) missing valuesMissing
건축연면적 has 143 (100.0%) missing valuesMissing
영문상호명 has 142 (99.3%) missing valuesMissing
영문상호주소 has 142 (99.3%) missing valuesMissing
선박총톤수 has 143 (100.0%) missing valuesMissing
선박척수 has 143 (100.0%) missing valuesMissing
선박제원 has 143 (100.0%) missing valuesMissing
무대면적 has 143 (100.0%) missing valuesMissing
좌석수 has 143 (100.0%) missing valuesMissing
기념품종류 has 143 (100.0%) missing valuesMissing
회의실별동시수용인원 has 143 (100.0%) missing valuesMissing
시설면적 has 127 (88.8%) missing valuesMissing
놀이기구수내역 has 143 (100.0%) missing valuesMissing
놀이시설수 has 143 (100.0%) missing valuesMissing
방송시설유무 has 143 (100.0%) missing valuesMissing
발전시설유무 has 143 (100.0%) missing valuesMissing
의무실유무 has 143 (100.0%) missing valuesMissing
안내소유무 has 143 (100.0%) missing valuesMissing
기획여행보험시작일자 has 143 (100.0%) missing valuesMissing
기획여행보험종료일자 has 143 (100.0%) missing valuesMissing
자본금 has 101 (70.6%) missing valuesMissing
보험시작일자 has 115 (80.4%) missing valuesMissing
보험종료일자 has 115 (80.4%) missing valuesMissing
부대시설내역 has 143 (100.0%) missing valuesMissing
시설규모 has 127 (88.8%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 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
객실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건축연면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박총톤수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박척수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박제원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
무대면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
좌석수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기념품종류 is an unsupported type, check if it needs cleaning or further analysisUnsupported
회의실별동시수용인원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이기구수내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이시설수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방송시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
발전시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
의무실유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
안내소유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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 2 (1.4%) zerosZeros
지상층수 has 2 (1.4%) zerosZeros
시설면적 has 4 (2.8%) zerosZeros
시설규모 has 4 (2.8%) zerosZeros

Reproduction

Analysis started2024-05-11 06:07:16.998228
Analysis finished2024-05-11 06:07:18.321078
Duration1.32 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
3040000
143 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3040000
2nd row3040000
3rd row3040000
4th row3040000
5th row3040000

Common Values

ValueCountFrequency (%)
3040000 143
100.0%

Length

2024-05-11T15:07:18.444056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:18.610071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3040000 143
100.0%

관리번호
Text

UNIQUE 

Distinct143
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-05-11T15:07:18.993289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters2860
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

Unique143 ?
Unique (%)100.0%

Sample

1st rowCDFI2260021996000001
2nd rowCDFI2260021996000003
3rd rowCDFI2260021997000001
4th rowCDFI2260021997000002
5th rowCDFI2260021997000003
ValueCountFrequency (%)
cdfi2260021996000001 1
 
0.7%
cdfi2260022018000008 1
 
0.7%
cdfi2260022019000001 1
 
0.7%
cdfi2260022019000002 1
 
0.7%
cdfi2260022019000003 1
 
0.7%
cdfi2260022019000004 1
 
0.7%
cdfi2260022019000005 1
 
0.7%
cdfi2260022019000006 1
 
0.7%
cdfi2260022018000009 1
 
0.7%
cdfi2260022020000006 1
 
0.7%
Other values (133) 133
93.0%
2024-05-11T15:07:19.836581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1172
41.0%
2 645
22.6%
6 173
 
6.0%
C 143
 
5.0%
D 143
 
5.0%
F 143
 
5.0%
I 143
 
5.0%
1 124
 
4.3%
9 40
 
1.4%
3 38
 
1.3%
Other values (4) 96
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2288
80.0%
Uppercase Letter 572
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1172
51.2%
2 645
28.2%
6 173
 
7.6%
1 124
 
5.4%
9 40
 
1.7%
3 38
 
1.7%
4 29
 
1.3%
7 28
 
1.2%
5 24
 
1.0%
8 15
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
C 143
25.0%
D 143
25.0%
F 143
25.0%
I 143
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2288
80.0%
Latin 572
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1172
51.2%
2 645
28.2%
6 173
 
7.6%
1 124
 
5.4%
9 40
 
1.7%
3 38
 
1.7%
4 29
 
1.3%
7 28
 
1.2%
5 24
 
1.0%
8 15
 
0.7%
Latin
ValueCountFrequency (%)
C 143
25.0%
D 143
25.0%
F 143
25.0%
I 143
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2860
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1172
41.0%
2 645
22.6%
6 173
 
6.0%
C 143
 
5.0%
D 143
 
5.0%
F 143
 
5.0%
I 143
 
5.0%
1 124
 
4.3%
9 40
 
1.4%
3 38
 
1.3%
Other values (4) 96
 
3.4%

인허가일자
Date

Distinct139
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum1991-01-23 00:00:00
Maximum2024-03-14 00:00:00
2024-05-11T15:07:20.077968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:07:20.275676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Date

MISSING 

Distinct4
Distinct (%)50.0%
Missing135
Missing (%)94.4%
Memory size1.2 KiB
Minimum2011-09-01 00:00:00
Maximum2023-07-18 00:00:00
2024-05-11T15:07:20.417929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:07:20.585932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

영업상태코드
Categorical

Distinct5
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
3
65 
1
55 
4
11 
5
9 
2
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row4
3rd row4
4th row3
5th row2

Common Values

ValueCountFrequency (%)
3 65
45.5%
1 55
38.5%
4 11
 
7.7%
5 9
 
6.3%
2 3
 
2.1%

Length

2024-05-11T15:07:20.795943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:20.957858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 65
45.5%
1 55
38.5%
4 11
 
7.7%
5 9
 
6.3%
2 3
 
2.1%

영업상태명
Categorical

Distinct5
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
폐업
65 
영업/정상
55 
취소/말소/만료/정지/중지
11 
제외/삭제/전출
9 
휴업
 
3

Length

Max length14
Median length8
Mean length4.4545455
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 65
45.5%
영업/정상 55
38.5%
취소/말소/만료/정지/중지 11
 
7.7%
제외/삭제/전출 9
 
6.3%
휴업 3
 
2.1%

Length

2024-05-11T15:07:21.250052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:21.438681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 65
45.5%
영업/정상 55
38.5%
취소/말소/만료/정지/중지 11
 
7.7%
제외/삭제/전출 9
 
6.3%
휴업 3
 
2.1%

상세영업상태코드
Real number (ℝ)

Distinct6
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.7272727
Minimum2
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T15:07:21.596889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q13
median13
Q313
95-th percentile31
Maximum31
Range29
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.9152036
Coefficient of variation (CV)0.81371252
Kurtosis1.378424
Mean9.7272727
Median Absolute Deviation (MAD)10
Skewness1.2482881
Sum1391
Variance62.650448
MonotonicityNot monotonic
2024-05-11T15:07:21.736575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 65
45.5%
13 55
38.5%
31 10
 
7.0%
15 9
 
6.3%
2 3
 
2.1%
30 1
 
0.7%
ValueCountFrequency (%)
2 3
 
2.1%
3 65
45.5%
13 55
38.5%
15 9
 
6.3%
30 1
 
0.7%
31 10
 
7.0%
ValueCountFrequency (%)
31 10
 
7.0%
30 1
 
0.7%
15 9
 
6.3%
13 55
38.5%
3 65
45.5%
2 3
 
2.1%

상세영업상태명
Categorical

Distinct6
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
폐업
65 
영업중
55 
등록취소
10 
전출
9 
휴업
 
3

Length

Max length4
Median length2
Mean length2.5384615
Min length2

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 65
45.5%
영업중 55
38.5%
등록취소 10
 
7.0%
전출 9
 
6.3%
휴업 3
 
2.1%
허가취소 1
 
0.7%

Length

2024-05-11T15:07:21.928010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:22.129035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 65
45.5%
영업중 55
38.5%
등록취소 10
 
7.0%
전출 9
 
6.3%
휴업 3
 
2.1%
허가취소 1
 
0.7%

폐업일자
Date

MISSING 

Distinct69
Distinct (%)93.2%
Missing69
Missing (%)48.3%
Memory size1.2 KiB
Minimum2001-08-31 00:00:00
Maximum2024-04-29 00:00:00
2024-05-11T15:07:22.341831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:07:22.572907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct3
Distinct (%)100.0%
Missing140
Missing (%)97.9%
Memory size1.2 KiB
Minimum1998-03-16 00:00:00
Maximum2023-04-14 00:00:00
2024-05-11T15:07:22.730194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:07:22.914170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

휴업종료일자
Date

MISSING 

Distinct3
Distinct (%)100.0%
Missing140
Missing (%)97.9%
Memory size1.2 KiB
Minimum1998-09-15 00:00:00
Maximum2024-04-14 00:00:00
2024-05-11T15:07:23.099100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:07:23.298016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing143
Missing (%)100.0%
Memory size1.4 KiB

전화번호
Text

MISSING 

Distinct77
Distinct (%)97.5%
Missing64
Missing (%)44.8%
Memory size1.2 KiB
2024-05-11T15:07:23.744944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.620253
Min length8

Characters and Unicode

Total characters839
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

Unique75 ?
Unique (%)94.9%

Sample

1st row3424-3737
2nd row455-1947
3rd row435-8123
4th row461-8285
5th row447-0367
ValueCountFrequency (%)
02 3
 
3.6%
02-2201-0773 2
 
2.4%
02-542-0243 2
 
2.4%
02-446-1555 1
 
1.2%
2266 1
 
1.2%
02-2249-2294 1
 
1.2%
070-4413-1135 1
 
1.2%
36660608 1
 
1.2%
0234248120 1
 
1.2%
02-757-2570 1
 
1.2%
Other values (69) 69
83.1%
2024-05-11T15:07:24.250944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 123
14.7%
2 121
14.4%
0 118
14.1%
4 91
10.8%
3 66
7.9%
6 64
7.6%
5 62
7.4%
7 56
6.7%
1 47
 
5.6%
8 45
 
5.4%
Other values (3) 46
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 708
84.4%
Dash Punctuation 123
 
14.7%
Space Separator 7
 
0.8%
Close Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 121
17.1%
0 118
16.7%
4 91
12.9%
3 66
9.3%
6 64
9.0%
5 62
8.8%
7 56
7.9%
1 47
 
6.6%
8 45
 
6.4%
9 38
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 123
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 839
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 123
14.7%
2 121
14.4%
0 118
14.1%
4 91
10.8%
3 66
7.9%
6 64
7.6%
5 62
7.4%
7 56
6.7%
1 47
 
5.6%
8 45
 
5.4%
Other values (3) 46
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 839
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 123
14.7%
2 121
14.4%
0 118
14.1%
4 91
10.8%
3 66
7.9%
6 64
7.6%
5 62
7.4%
7 56
6.7%
1 47
 
5.6%
8 45
 
5.4%
Other values (3) 46
 
5.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing143
Missing (%)100.0%
Memory size1.4 KiB

소재지우편번호
Text

MISSING 

Distinct43
Distinct (%)72.9%
Missing84
Missing (%)58.7%
Memory size1.2 KiB
2024-05-11T15:07:24.542906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1694915
Min length6

Characters and Unicode

Total characters364
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

Unique29 ?
Unique (%)49.2%

Sample

1st row143721
2nd row143898
3rd row143-849
4th row143824
5th row143845
ValueCountFrequency (%)
143831 4
 
6.8%
143-802 2
 
3.4%
143721 2
 
3.4%
143917 2
 
3.4%
143825 2
 
3.4%
143190 2
 
3.4%
143-825 2
 
3.4%
143200 2
 
3.4%
143915 2
 
3.4%
143959 2
 
3.4%
Other values (33) 37
62.7%
2024-05-11T15:07:25.007720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 86
23.6%
4 69
19.0%
3 69
19.0%
8 47
12.9%
2 22
 
6.0%
9 21
 
5.8%
0 15
 
4.1%
5 13
 
3.6%
- 10
 
2.7%
7 7
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 354
97.3%
Dash Punctuation 10
 
2.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 86
24.3%
4 69
19.5%
3 69
19.5%
8 47
13.3%
2 22
 
6.2%
9 21
 
5.9%
0 15
 
4.2%
5 13
 
3.7%
7 7
 
2.0%
6 5
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 364
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 86
23.6%
4 69
19.0%
3 69
19.0%
8 47
12.9%
2 22
 
6.0%
9 21
 
5.8%
0 15
 
4.1%
5 13
 
3.6%
- 10
 
2.7%
7 7
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 364
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 86
23.6%
4 69
19.0%
3 69
19.0%
8 47
12.9%
2 22
 
6.0%
9 21
 
5.8%
0 15
 
4.1%
5 13
 
3.6%
- 10
 
2.7%
7 7
 
1.9%

지번주소
Text

Distinct134
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-05-11T15:07:25.476560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length33
Mean length26.314685
Min length16

Characters and Unicode

Total characters3763
Distinct characters147
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

Unique127 ?
Unique (%)88.8%

Sample

1st row서울특별시 광진구 구의동 546-4번지 테크노마트 16층동 1604호
2nd row서울특별시 광진구 중곡동 157-4번지
3rd row서울특별시 광진구 능동 247-9
4th row서울특별시 광진구 구의동 232-81번지
5th row서울특별시 광진구 자양동 90-4번지
ValueCountFrequency (%)
서울특별시 143
19.3%
광진구 143
19.3%
구의동 45
 
6.1%
자양동 29
 
3.9%
중곡동 23
 
3.1%
화양동 14
 
1.9%
군자동 14
 
1.9%
광장동 11
 
1.5%
능동 9
 
1.2%
2층 6
 
0.8%
Other values (239) 305
41.1%
2024-05-11T15:07:26.251765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
646
 
17.2%
구 189
 
5.0%
광 162
 
4.3%
동 155
 
4.1%
1 150
 
4.0%
진 148
 
3.9%
서 145
 
3.9%
울 145
 
3.9%
시 143
 
3.8%
별 143
 
3.8%
Other values (137) 1737
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2178
57.9%
Decimal Number 788
 
20.9%
Space Separator 646
 
17.2%
Dash Punctuation 138
 
3.7%
Uppercase Letter 9
 
0.2%
Lowercase Letter 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 189
 
8.7%
광 162
 
7.4%
동 155
 
7.1%
진 148
 
6.8%
서 145
 
6.7%
울 145
 
6.7%
시 143
 
6.6%
별 143
 
6.6%
특 143
 
6.6%
지 67
 
3.1%
Other values (115) 738
33.9%
Decimal Number
ValueCountFrequency (%)
1 150
19.0%
2 131
16.6%
4 100
12.7%
6 81
10.3%
3 72
9.1%
0 67
8.5%
5 64
8.1%
7 46
 
5.8%
9 45
 
5.7%
8 32
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
S 3
33.3%
B 2
22.2%
Y 1
 
11.1%
U 1
 
11.1%
N 1
 
11.1%
K 1
 
11.1%
Space Separator
ValueCountFrequency (%)
646
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 138
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2178
57.9%
Common 1575
41.9%
Latin 10
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 189
 
8.7%
광 162
 
7.4%
동 155
 
7.1%
진 148
 
6.8%
서 145
 
6.7%
울 145
 
6.7%
시 143
 
6.6%
별 143
 
6.6%
특 143
 
6.6%
지 67
 
3.1%
Other values (115) 738
33.9%
Common
ValueCountFrequency (%)
646
41.0%
1 150
 
9.5%
- 138
 
8.8%
2 131
 
8.3%
4 100
 
6.3%
6 81
 
5.1%
3 72
 
4.6%
0 67
 
4.3%
5 64
 
4.1%
7 46
 
2.9%
Other values (5) 80
 
5.1%
Latin
ValueCountFrequency (%)
S 3
30.0%
B 2
20.0%
b 1
 
10.0%
Y 1
 
10.0%
U 1
 
10.0%
N 1
 
10.0%
K 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2178
57.9%
ASCII 1585
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
646
40.8%
1 150
 
9.5%
- 138
 
8.7%
2 131
 
8.3%
4 100
 
6.3%
6 81
 
5.1%
3 72
 
4.5%
0 67
 
4.2%
5 64
 
4.0%
7 46
 
2.9%
Other values (12) 90
 
5.7%
Hangul
ValueCountFrequency (%)
구 189
 
8.7%
광 162
 
7.4%
동 155
 
7.1%
진 148
 
6.8%
서 145
 
6.7%
울 145
 
6.7%
시 143
 
6.6%
별 143
 
6.6%
특 143
 
6.6%
지 67
 
3.1%
Other values (115) 738
33.9%

도로명주소
Text

MISSING 

Distinct136
Distinct (%)97.8%
Missing4
Missing (%)2.8%
Memory size1.2 KiB
2024-05-11T15:07:26.577524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length38
Mean length33.654676
Min length22

Characters and Unicode

Total characters4678
Distinct characters163
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

Unique133 ?
Unique (%)95.7%

Sample

1st row서울특별시 광진구 광나루로56길 85, 16층동 1604호 (구의동,테크노마트)
2nd row서울특별시 광진구 천호대로 561 (중곡동)
3rd row서울특별시 광진구 능동로36길 127 (능동)
4th row서울특별시 광진구 광나루로36길 27 (구의동)
5th row서울특별시 광진구 자양강변길 115 (자양동)
ValueCountFrequency (%)
서울특별시 139
 
15.3%
광진구 139
 
15.3%
구의동 30
 
3.3%
자양동 26
 
2.9%
중곡동 22
 
2.4%
아차산로 18
 
2.0%
능동로 15
 
1.7%
화양동 12
 
1.3%
군자동 11
 
1.2%
광나루로 10
 
1.1%
Other values (294) 485
53.5%
2024-05-11T15:07:27.115184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
798
 
17.1%
구 191
 
4.1%
동 188
 
4.0%
광 179
 
3.8%
, 153
 
3.3%
1 149
 
3.2%
진 144
 
3.1%
울 141
 
3.0%
서 141
 
3.0%
로 140
 
3.0%
Other values (153) 2454
52.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2655
56.8%
Space Separator 798
 
17.1%
Decimal Number 766
 
16.4%
Other Punctuation 154
 
3.3%
Close Punctuation 139
 
3.0%
Open Punctuation 139
 
3.0%
Dash Punctuation 16
 
0.3%
Uppercase Letter 10
 
0.2%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 191
 
7.2%
동 188
 
7.1%
광 179
 
6.7%
진 144
 
5.4%
울 141
 
5.3%
서 141
 
5.3%
로 140
 
5.3%
특 139
 
5.2%
시 139
 
5.2%
별 139
 
5.2%
Other values (130) 1114
42.0%
Decimal Number
ValueCountFrequency (%)
1 149
19.5%
3 93
12.1%
0 89
11.6%
2 87
11.4%
6 82
10.7%
4 69
9.0%
5 64
8.4%
7 57
 
7.4%
8 47
 
6.1%
9 29
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
B 3
30.0%
S 3
30.0%
U 1
 
10.0%
Y 1
 
10.0%
N 1
 
10.0%
K 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
, 153
99.4%
& 1
 
0.6%
Space Separator
ValueCountFrequency (%)
798
100.0%
Close Punctuation
ValueCountFrequency (%)
) 139
100.0%
Open Punctuation
ValueCountFrequency (%)
( 139
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2655
56.8%
Common 2012
43.0%
Latin 11
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 191
 
7.2%
동 188
 
7.1%
광 179
 
6.7%
진 144
 
5.4%
울 141
 
5.3%
서 141
 
5.3%
로 140
 
5.3%
특 139
 
5.2%
시 139
 
5.2%
별 139
 
5.2%
Other values (130) 1114
42.0%
Common
ValueCountFrequency (%)
798
39.7%
, 153
 
7.6%
1 149
 
7.4%
) 139
 
6.9%
( 139
 
6.9%
3 93
 
4.6%
0 89
 
4.4%
2 87
 
4.3%
6 82
 
4.1%
4 69
 
3.4%
Other values (6) 214
 
10.6%
Latin
ValueCountFrequency (%)
B 3
27.3%
S 3
27.3%
b 1
 
9.1%
U 1
 
9.1%
Y 1
 
9.1%
N 1
 
9.1%
K 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2655
56.8%
ASCII 2023
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
798
39.4%
, 153
 
7.6%
1 149
 
7.4%
) 139
 
6.9%
( 139
 
6.9%
3 93
 
4.6%
0 89
 
4.4%
2 87
 
4.3%
6 82
 
4.1%
4 69
 
3.4%
Other values (13) 225
 
11.1%
Hangul
ValueCountFrequency (%)
구 191
 
7.2%
동 188
 
7.1%
광 179
 
6.7%
진 144
 
5.4%
울 141
 
5.3%
서 141
 
5.3%
로 140
 
5.3%
특 139
 
5.2%
시 139
 
5.2%
별 139
 
5.2%
Other values (130) 1114
42.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct61
Distinct (%)60.4%
Missing42
Missing (%)29.4%
Infinite0
Infinite (%)0.0%
Mean11881.198
Minimum4905
Maximum143915
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T15:07:27.325910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4905
5-th percentile4918
Q14975
median5021
Q35062
95-th percentile5119
Maximum143915
Range139010
Interquartile range (IQR)87

Descriptive statistics

Standard deviation30237.486
Coefficient of variation (CV)2.5449863
Kurtosis16.096999
Mean11881.198
Median Absolute Deviation (MAD)44
Skewness4.2164463
Sum1200001
Variance9.1430559 × 108
MonotonicityNot monotonic
2024-05-11T15:07:27.515011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5116 7
 
4.9%
5044 7
 
4.9%
4969 6
 
4.2%
4994 4
 
2.8%
5078 4
 
2.8%
5021 3
 
2.1%
5074 3
 
2.1%
5051 3
 
2.1%
4918 3
 
2.1%
5055 3
 
2.1%
Other values (51) 58
40.6%
(Missing) 42
29.4%
ValueCountFrequency (%)
4905 1
 
0.7%
4908 1
 
0.7%
4917 1
 
0.7%
4918 3
2.1%
4924 1
 
0.7%
4925 1
 
0.7%
4927 1
 
0.7%
4928 1
 
0.7%
4929 1
 
0.7%
4930 2
1.4%
ValueCountFrequency (%)
143915 1
 
0.7%
143853 1
 
0.7%
143826 1
 
0.7%
143802 1
 
0.7%
143190 1
 
0.7%
5119 1
 
0.7%
5116 7
4.9%
5112 1
 
0.7%
5078 4
2.8%
5074 3
2.1%

사업장명
Text

Distinct142
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-05-11T15:07:27.883729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length7.972028
Min length2

Characters and Unicode

Total characters1140
Distinct characters221
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

Unique141 ?
Unique (%)98.6%

Sample

1st row(주)이상한여행사
2nd row도도관광주식회사
3rd row(주)코뎀
4th row(주)세계체널
5th row(주)코뎀
ValueCountFrequency (%)
주식회사 19
 
10.9%
주)코뎀 2
 
1.1%
주 2
 
1.1%
주)인그립코리아 1
 
0.6%
t 1
 
0.6%
주)명보투어앤에듀 1
 
0.6%
주)여행몰 1
 
0.6%
주)트리버여행 1
 
0.6%
여행데이 1
 
0.6%
에이페이지 1
 
0.6%
Other values (144) 144
82.8%
2024-05-11T15:07:28.579272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 103
 
9.0%
( 84
 
7.4%
) 84
 
7.4%
사 53
 
4.6%
여 46
 
4.0%
행 46
 
4.0%
어 37
 
3.2%
투 36
 
3.2%
이 35
 
3.1%
31
 
2.7%
Other values (211) 585
51.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 917
80.4%
Open Punctuation 84
 
7.4%
Close Punctuation 84
 
7.4%
Space Separator 31
 
2.7%
Uppercase Letter 20
 
1.8%
Decimal Number 2
 
0.2%
Other Punctuation 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 103
 
11.2%
사 53
 
5.8%
여 46
 
5.0%
행 46
 
5.0%
어 37
 
4.0%
투 36
 
3.9%
이 35
 
3.8%
스 23
 
2.5%
회 20
 
2.2%
식 20
 
2.2%
Other values (192) 498
54.3%
Uppercase Letter
ValueCountFrequency (%)
T 4
20.0%
R 3
15.0%
C 2
10.0%
E 2
10.0%
A 2
10.0%
G 1
 
5.0%
U 1
 
5.0%
O 1
 
5.0%
J 1
 
5.0%
I 1
 
5.0%
Other values (2) 2
10.0%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 84
100.0%
Close Punctuation
ValueCountFrequency (%)
) 84
100.0%
Space Separator
ValueCountFrequency (%)
31
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 917
80.4%
Common 203
 
17.8%
Latin 20
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 103
 
11.2%
사 53
 
5.8%
여 46
 
5.0%
행 46
 
5.0%
어 37
 
4.0%
투 36
 
3.9%
이 35
 
3.8%
스 23
 
2.5%
회 20
 
2.2%
식 20
 
2.2%
Other values (192) 498
54.3%
Latin
ValueCountFrequency (%)
T 4
20.0%
R 3
15.0%
C 2
10.0%
E 2
10.0%
A 2
10.0%
G 1
 
5.0%
U 1
 
5.0%
O 1
 
5.0%
J 1
 
5.0%
I 1
 
5.0%
Other values (2) 2
10.0%
Common
ValueCountFrequency (%)
( 84
41.4%
) 84
41.4%
31
 
15.3%
& 1
 
0.5%
- 1
 
0.5%
1 1
 
0.5%
2 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 917
80.4%
ASCII 223
 
19.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 103
 
11.2%
사 53
 
5.8%
여 46
 
5.0%
행 46
 
5.0%
어 37
 
4.0%
투 36
 
3.9%
이 35
 
3.8%
스 23
 
2.5%
회 20
 
2.2%
식 20
 
2.2%
Other values (192) 498
54.3%
ASCII
ValueCountFrequency (%)
( 84
37.7%
) 84
37.7%
31
 
13.9%
T 4
 
1.8%
R 3
 
1.3%
C 2
 
0.9%
E 2
 
0.9%
A 2
 
0.9%
G 1
 
0.4%
U 1
 
0.4%
Other values (9) 9
 
4.0%

최종수정일자
Date

UNIQUE 

Distinct143
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2003-05-13 11:34:49
Maximum2024-05-08 11:07:40
2024-05-11T15:07:28.802770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:07:29.017124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
U
89 
I
54 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 89
62.2%
I 54
37.8%

Length

2024-05-11T15:07:29.219427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:29.366178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 89
62.2%
i 54
37.8%

데이터갱신일자
Date

Distinct52
Distinct (%)36.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:02:00
2024-05-11T15:07:29.532581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:07:29.749391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing143
Missing (%)100.0%
Memory size1.4 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct107
Distinct (%)76.4%
Missing3
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean207336.03
Minimum205655.13
Maximum209679.58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T15:07:29.965052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum205655.13
5-th percentile205809.73
Q1206661.51
median207330.96
Q3207875.21
95-th percentile209392.45
Maximum209679.58
Range4024.4499
Interquartile range (IQR)1213.6978

Descriptive statistics

Standard deviation979.44444
Coefficient of variation (CV)0.0047239472
Kurtosis-0.0045265234
Mean207336.03
Median Absolute Deviation (MAD)627.17523
Skewness0.44060892
Sum29027044
Variance959311.42
MonotonicityNot monotonic
2024-05-11T15:07:30.187431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
208394.416382167 8
 
5.6%
207388.308848516 5
 
3.5%
209668.90120464 4
 
2.8%
207002.785697952 3
 
2.1%
206610.107204606 3
 
2.1%
207428.020928635 3
 
2.1%
207281.948699606 3
 
2.1%
206014.599715389 2
 
1.4%
207325.576921423 2
 
1.4%
209386.519074531 2
 
1.4%
Other values (97) 105
73.4%
(Missing) 3
 
2.1%
ValueCountFrequency (%)
205655.134613824 2
1.4%
205699.853225506 1
0.7%
205728.202632914 1
0.7%
205769.497694819 1
0.7%
205790.746988179 2
1.4%
205810.72883126 1
0.7%
205844.371918838 1
0.7%
205845.235477102 1
0.7%
205862.000101551 1
0.7%
205901.322235274 1
0.7%
ValueCountFrequency (%)
209679.58447051 1
 
0.7%
209668.90120464 4
2.8%
209531.572911121 1
 
0.7%
209505.045903118 1
 
0.7%
209386.519074531 2
 
1.4%
209345.941766315 1
 
0.7%
208776.911786206 1
 
0.7%
208558.286631653 1
 
0.7%
208394.416382167 8
5.6%
208338.31599039 2
 
1.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct107
Distinct (%)76.4%
Missing3
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean449264.78
Minimum447750.84
Maximum451737.68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T15:07:30.439576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447750.84
5-th percentile447998.92
Q1448331.85
median449210.09
Q3450208.19
95-th percentile450846.44
Maximum451737.68
Range3986.8393
Interquartile range (IQR)1876.3339

Descriptive statistics

Standard deviation1014.3309
Coefficient of variation (CV)0.0022577575
Kurtosis-1.1452987
Mean449264.78
Median Absolute Deviation (MAD)896.56976
Skewness0.36389216
Sum62897070
Variance1028867.3
MonotonicityNot monotonic
2024-05-11T15:07:30.771675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
448165.279999905 8
 
5.6%
448313.517465433 5
 
3.5%
449767.964721034 4
 
2.8%
450846.436421639 3
 
2.1%
449361.893107443 3
 
2.1%
448255.352027526 3
 
2.1%
448219.671396301 3
 
2.1%
448359.990459515 2
 
1.4%
448526.049057258 2
 
1.4%
449481.560891012 2
 
1.4%
Other values (97) 105
73.4%
(Missing) 3
 
2.1%
ValueCountFrequency (%)
447750.838364027 1
0.7%
447787.173558996 1
0.7%
447812.924832297 1
0.7%
447857.642334812 1
0.7%
447967.273331938 1
0.7%
447994.805558304 1
0.7%
447998.924380413 2
1.4%
448012.449066969 1
0.7%
448025.887583786 1
0.7%
448085.242458867 1
0.7%
ValueCountFrequency (%)
451737.677689238 1
 
0.7%
451522.314560436 1
 
0.7%
451253.072347424 1
 
0.7%
451208.296961305 1
 
0.7%
450947.535163396 1
 
0.7%
450871.92748589 1
 
0.7%
450846.436421639 3
2.1%
450840.637116234 1
 
0.7%
450747.181409911 1
 
0.7%
450713.471599032 1
 
0.7%

문화체육업종명
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
75 
국내외여행업
68 

Length

Max length6
Median length4
Mean length4.951049
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 75
52.4%
국내외여행업 68
47.6%

Length

2024-05-11T15:07:31.323016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:31.481840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 75
52.4%
국내외여행업 68
47.6%

문화사업자구분명
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
104 
관광사업
39 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 104
72.7%
관광사업 39
 
27.3%

Length

2024-05-11T15:07:31.642675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:31.788444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
72.7%
관광사업 39
 
27.3%

지역구분명
Text

MISSING 

Distinct4
Distinct (%)80.0%
Missing138
Missing (%)96.5%
Memory size1.2 KiB
2024-05-11T15:07:31.973232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.4
Min length4

Characters and Unicode

Total characters27
Distinct characters11
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)60.0%

Sample

1st row일반주거지역
2nd row준주거지역
3rd row일반주거지역
4th row근린상업지역
5th row상업지역
ValueCountFrequency (%)
일반주거지역 2
40.0%
준주거지역 1
20.0%
근린상업지역 1
20.0%
상업지역 1
20.0%
2024-05-11T15:07:32.399823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 5
18.5%
역 5
18.5%
주 3
11.1%
거 3
11.1%
일 2
 
7.4%
반 2
 
7.4%
상 2
 
7.4%
업 2
 
7.4%
준 1
 
3.7%
근 1
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 5
18.5%
역 5
18.5%
주 3
11.1%
거 3
11.1%
일 2
 
7.4%
반 2
 
7.4%
상 2
 
7.4%
업 2
 
7.4%
준 1
 
3.7%
근 1
 
3.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 5
18.5%
역 5
18.5%
주 3
11.1%
거 3
11.1%
일 2
 
7.4%
반 2
 
7.4%
상 2
 
7.4%
업 2
 
7.4%
준 1
 
3.7%
근 1
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 5
18.5%
역 5
18.5%
주 3
11.1%
거 3
11.1%
일 2
 
7.4%
반 2
 
7.4%
상 2
 
7.4%
업 2
 
7.4%
준 1
 
3.7%
근 1
 
3.7%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)90.0%
Missing133
Missing (%)93.0%
Infinite0
Infinite (%)0.0%
Mean7.9
Minimum0
Maximum21
Zeros2
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T15:07:32.568996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.75
median6.5
Q313
95-th percentile18.75
Maximum21
Range21
Interquartile range (IQR)11.25

Descriptive statistics

Standard deviation7.2640668
Coefficient of variation (CV)0.91950213
Kurtosis-0.77131566
Mean7.9
Median Absolute Deviation (MAD)6
Skewness0.58609354
Sum79
Variance52.766667
MonotonicityNot monotonic
2024-05-11T15:07:32.731320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 2
 
1.4%
5 1
 
0.7%
14 1
 
0.7%
8 1
 
0.7%
21 1
 
0.7%
10 1
 
0.7%
4 1
 
0.7%
16 1
 
0.7%
1 1
 
0.7%
(Missing) 133
93.0%
ValueCountFrequency (%)
0 2
1.4%
1 1
0.7%
4 1
0.7%
5 1
0.7%
8 1
0.7%
10 1
0.7%
14 1
0.7%
16 1
0.7%
21 1
0.7%
ValueCountFrequency (%)
21 1
0.7%
16 1
0.7%
14 1
0.7%
10 1
0.7%
8 1
0.7%
5 1
0.7%
4 1
0.7%
1 1
0.7%
0 2
1.4%

주변환경명
Text

MISSING 

Distinct2
Distinct (%)50.0%
Missing139
Missing (%)97.2%
Memory size1.2 KiB
2024-05-11T15:07:32.959635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4.25
Min length2

Characters and Unicode

Total characters17
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)25.0%

Sample

1st row주택가주변
2nd row주택가주변
3rd row기타
4th row주택가주변
ValueCountFrequency (%)
주택가주변 3
75.0%
기타 1
 
25.0%
2024-05-11T15:07:33.357640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 6
35.3%
택 3
17.6%
가 3
17.6%
변 3
17.6%
기 1
 
5.9%
타 1
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 6
35.3%
택 3
17.6%
가 3
17.6%
변 3
17.6%
기 1
 
5.9%
타 1
 
5.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 6
35.3%
택 3
17.6%
가 3
17.6%
변 3
17.6%
기 1
 
5.9%
타 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 6
35.3%
택 3
17.6%
가 3
17.6%
변 3
17.6%
기 1
 
5.9%
타 1
 
5.9%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing143
Missing (%)100.0%
Memory size1.4 KiB

보험기관명
Categorical

IMBALANCE 

Distinct10
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
116 
서울보증보험
 
11
한국관광협회중앙회 여행공제회
 
4
서울보증보험주식회사
 
4
서울보증보험(3천)
 
2
Other values (5)
 
6

Length

Max length19
Median length4
Mean length5.0839161
Min length4

Unique

Unique4 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 116
81.1%
서울보증보험 11
 
7.7%
한국관광협회중앙회 여행공제회 4
 
2.8%
서울보증보험주식회사 4
 
2.8%
서울보증보험(3천) 2
 
1.4%
서울보증보험(3천만원) 2
 
1.4%
한국관광협회중앙회 1
 
0.7%
서울보증보험(30,000,000원) 1
 
0.7%
서울보증보험(30,000,000) 1
 
0.7%
서울시관광협회 1
 
0.7%

Length

2024-05-11T15:07:33.561902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:33.749973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 116
78.9%
서울보증보험 11
 
7.5%
한국관광협회중앙회 5
 
3.4%
여행공제회 4
 
2.7%
서울보증보험주식회사 4
 
2.7%
서울보증보험(3천 2
 
1.4%
서울보증보험(3천만원 2
 
1.4%
서울보증보험(30,000,000원 1
 
0.7%
서울보증보험(30,000,000 1
 
0.7%
서울시관광협회 1
 
0.7%

건물용도명
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
133 
근린생활시설
 
6
사무실
 
4

Length

Max length6
Median length4
Mean length4.0559441
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 133
93.0%
근린생활시설 6
 
4.2%
사무실 4
 
2.8%

Length

2024-05-11T15:07:33.974491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:34.138250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 133
93.0%
근린생활시설 6
 
4.2%
사무실 4
 
2.8%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)80.0%
Missing133
Missing (%)93.0%
Infinite0
Infinite (%)0.0%
Mean7.1
Minimum0
Maximum17
Zeros2
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T15:07:34.300377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.25
median7.5
Q39.5
95-th percentile15.65
Maximum17
Range17
Interquartile range (IQR)6.25

Descriptive statistics

Standard deviation5.6065438
Coefficient of variation (CV)0.78965406
Kurtosis-0.49531683
Mean7.1
Median Absolute Deviation (MAD)4
Skewness0.40202605
Sum71
Variance31.433333
MonotonicityNot monotonic
2024-05-11T15:07:34.476918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 2
 
1.4%
8 2
 
1.4%
4 1
 
0.7%
10 1
 
0.7%
17 1
 
0.7%
3 1
 
0.7%
14 1
 
0.7%
7 1
 
0.7%
(Missing) 133
93.0%
ValueCountFrequency (%)
0 2
1.4%
3 1
0.7%
4 1
0.7%
7 1
0.7%
8 2
1.4%
10 1
0.7%
14 1
0.7%
17 1
0.7%
ValueCountFrequency (%)
17 1
0.7%
14 1
0.7%
10 1
0.7%
8 2
1.4%
7 1
0.7%
4 1
0.7%
3 1
0.7%
0 2
1.4%

지하층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
134 
0
 
2
1
 
2
4
 
2
2
 
2

Length

Max length4
Median length4
Mean length3.8111888
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row0
2nd row<NA>
3rd row<NA>
4th row1
5th row0

Common Values

ValueCountFrequency (%)
<NA> 134
93.7%
0 2
 
1.4%
1 2
 
1.4%
4 2
 
1.4%
2 2
 
1.4%
3 1
 
0.7%

Length

2024-05-11T15:07:34.706974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:34.907961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 134
93.7%
0 2
 
1.4%
1 2
 
1.4%
4 2
 
1.4%
2 2
 
1.4%
3 1
 
0.7%

객실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing143
Missing (%)100.0%
Memory size1.4 KiB

건축연면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing143
Missing (%)100.0%
Memory size1.4 KiB

영문상호명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing142
Missing (%)99.3%
Memory size1.2 KiB
2024-05-11T15:07:35.144613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length14
Min length14

Characters and Unicode

Total characters14
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowTHE adventures
ValueCountFrequency (%)
the 1
50.0%
adventures 1
50.0%
2024-05-11T15:07:35.577331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 2
14.3%
T 1
 
7.1%
H 1
 
7.1%
E 1
 
7.1%
1
 
7.1%
a 1
 
7.1%
d 1
 
7.1%
v 1
 
7.1%
n 1
 
7.1%
t 1
 
7.1%
Other values (3) 3
21.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10
71.4%
Uppercase Letter 3
 
21.4%
Space Separator 1
 
7.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 2
20.0%
a 1
10.0%
d 1
10.0%
v 1
10.0%
n 1
10.0%
t 1
10.0%
u 1
10.0%
r 1
10.0%
s 1
10.0%
Uppercase Letter
ValueCountFrequency (%)
T 1
33.3%
H 1
33.3%
E 1
33.3%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 13
92.9%
Common 1
 
7.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 2
15.4%
T 1
7.7%
H 1
7.7%
E 1
7.7%
a 1
7.7%
d 1
7.7%
v 1
7.7%
n 1
7.7%
t 1
7.7%
u 1
7.7%
Other values (2) 2
15.4%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 2
14.3%
T 1
 
7.1%
H 1
 
7.1%
E 1
 
7.1%
1
 
7.1%
a 1
 
7.1%
d 1
 
7.1%
v 1
 
7.1%
n 1
 
7.1%
t 1
 
7.1%
Other values (3) 3
21.4%

영문상호주소
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing142
Missing (%)99.3%
Memory size1.2 KiB
2024-05-11T15:07:35.774069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length24
Mean length24
Min length24

Characters and Unicode

Total characters24
Distinct characters13
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

Unique1 ?
Unique (%)100.0%

Sample

1st rowOVERSEAS TRAVEL BUSINESS
ValueCountFrequency (%)
overseas 1
33.3%
travel 1
33.3%
business 1
33.3%
2024-05-11T15:07:36.118715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
S 5
20.8%
E 4
16.7%
V 2
 
8.3%
R 2
 
8.3%
A 2
 
8.3%
2
 
8.3%
O 1
 
4.2%
T 1
 
4.2%
L 1
 
4.2%
B 1
 
4.2%
Other values (3) 3
12.5%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 22
91.7%
Space Separator 2
 
8.3%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
S 5
22.7%
E 4
18.2%
V 2
 
9.1%
R 2
 
9.1%
A 2
 
9.1%
O 1
 
4.5%
T 1
 
4.5%
L 1
 
4.5%
B 1
 
4.5%
U 1
 
4.5%
Other values (2) 2
 
9.1%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 22
91.7%
Common 2
 
8.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
S 5
22.7%
E 4
18.2%
V 2
 
9.1%
R 2
 
9.1%
A 2
 
9.1%
O 1
 
4.5%
T 1
 
4.5%
L 1
 
4.5%
B 1
 
4.5%
U 1
 
4.5%
Other values (2) 2
 
9.1%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
S 5
20.8%
E 4
16.7%
V 2
 
8.3%
R 2
 
8.3%
A 2
 
8.3%
2
 
8.3%
O 1
 
4.2%
T 1
 
4.2%
L 1
 
4.2%
B 1
 
4.2%
Other values (3) 3
12.5%

선박총톤수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing143
Missing (%)100.0%
Memory size1.4 KiB

선박척수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing143
Missing (%)100.0%
Memory size1.4 KiB

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing143
Missing (%)100.0%
Memory size1.4 KiB

무대면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing143
Missing (%)100.0%
Memory size1.4 KiB

좌석수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing143
Missing (%)100.0%
Memory size1.4 KiB

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing143
Missing (%)100.0%
Memory size1.4 KiB

회의실별동시수용인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing143
Missing (%)100.0%
Memory size1.4 KiB

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)81.2%
Missing127
Missing (%)88.8%
Infinite0
Infinite (%)0.0%
Mean154.31375
Minimum0
Maximum789.7
Zeros4
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T15:07:36.307929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q116.5
median31.5
Q3164.44
95-th percentile620.4175
Maximum789.7
Range789.7
Interquartile range (IQR)147.94

Descriptive statistics

Standard deviation245.99479
Coefficient of variation (CV)1.594121
Kurtosis2.0949286
Mean154.31375
Median Absolute Deviation (MAD)31.5
Skewness1.781291
Sum2469.02
Variance60513.437
MonotonicityNot monotonic
2024-05-11T15:07:36.497267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0.0 4
 
2.8%
563.99 1
 
0.7%
52.25 1
 
0.7%
150.0 1
 
0.7%
41.73 1
 
0.7%
207.76 1
 
0.7%
789.7 1
 
0.7%
33.0 1
 
0.7%
22.0 1
 
0.7%
522.3 1
 
0.7%
Other values (3) 3
 
2.1%
(Missing) 127
88.8%
ValueCountFrequency (%)
0.0 4
2.8%
22.0 1
 
0.7%
26.69 1
 
0.7%
29.6 1
 
0.7%
30.0 1
 
0.7%
33.0 1
 
0.7%
41.73 1
 
0.7%
52.25 1
 
0.7%
150.0 1
 
0.7%
207.76 1
 
0.7%
ValueCountFrequency (%)
789.7 1
0.7%
563.99 1
0.7%
522.3 1
0.7%
207.76 1
0.7%
150.0 1
0.7%
52.25 1
0.7%
41.73 1
0.7%
33.0 1
0.7%
30.0 1
0.7%
29.6 1
0.7%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing143
Missing (%)100.0%
Memory size1.4 KiB

놀이시설수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing143
Missing (%)100.0%
Memory size1.4 KiB

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing143
Missing (%)100.0%
Memory size1.4 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing143
Missing (%)100.0%
Memory size1.4 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing143
Missing (%)100.0%
Memory size1.4 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing143
Missing (%)100.0%
Memory size1.4 KiB

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing143
Missing (%)100.0%
Memory size1.4 KiB

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing143
Missing (%)100.0%
Memory size1.4 KiB

자본금
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)42.9%
Missing101
Missing (%)70.6%
Infinite0
Infinite (%)0.0%
Mean82855135
Minimum3000000
Maximum2.7848321 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T15:07:36.684738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile30000000
Q151175904
median66000000
Q31 × 108
95-th percentile1.9811151 × 108
Maximum2.7848321 × 108
Range2.7548321 × 108
Interquartile range (IQR)48824096

Descriptive statistics

Standard deviation56672862
Coefficient of variation (CV)0.68399939
Kurtosis3.9099121
Mean82855135
Median Absolute Deviation (MAD)34000000
Skewness1.7303873
Sum3.4799157 × 109
Variance3.2118133 × 1015
MonotonicityNot monotonic
2024-05-11T15:07:36.853819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
100000000 13
 
9.1%
30000000 7
 
4.9%
60000000 6
 
4.2%
50000000 2
 
1.4%
200000000 1
 
0.7%
60149595 1
 
0.7%
162230234 1
 
0.7%
65000000 1
 
0.7%
130440066 1
 
0.7%
278483208 1
 
0.7%
Other values (8) 8
 
5.6%
(Missing) 101
70.6%
ValueCountFrequency (%)
3000000 1
 
0.7%
9211151 1
 
0.7%
30000000 7
4.9%
50000000 2
 
1.4%
54703617 1
 
0.7%
60000000 6
4.2%
60079523 1
 
0.7%
60149595 1
 
0.7%
65000000 1
 
0.7%
67000000 1
 
0.7%
ValueCountFrequency (%)
278483208 1
 
0.7%
250000000 1
 
0.7%
200000000 1
 
0.7%
162230234 1
 
0.7%
130440066 1
 
0.7%
100000000 13
9.1%
97339870 1
 
0.7%
72278424 1
 
0.7%
67000000 1
 
0.7%
65000000 1
 
0.7%

보험시작일자
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)100.0%
Missing115
Missing (%)80.4%
Infinite0
Infinite (%)0.0%
Mean20145598
Minimum20041206
Maximum20200422
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T15:07:37.052967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20041206
5-th percentile20044364
Q120123390
median20165456
Q320190119
95-th percentile20197127
Maximum20200422
Range159216
Interquartile range (IQR)66729

Descriptive statistics

Standard deviation52311.498
Coefficient of variation (CV)0.0025966714
Kurtosis-0.34841321
Mean20145598
Median Absolute Deviation (MAD)24767.5
Skewness-1.0154703
Sum5.6407674 × 108
Variance2.7364928 × 109
MonotonicityNot monotonic
2024-05-11T15:07:37.260564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
20150518 1
 
0.7%
20190627 1
 
0.7%
20200318 1
 
0.7%
20190318 1
 
0.7%
20191201 1
 
0.7%
20171025 1
 
0.7%
20170827 1
 
0.7%
20190116 1
 
0.7%
20160411 1
 
0.7%
20160731 1
 
0.7%
Other values (18) 18
 
12.6%
(Missing) 115
80.4%
ValueCountFrequency (%)
20041206 1
0.7%
20041214 1
0.7%
20050214 1
0.7%
20050513 1
0.7%
20080213 1
0.7%
20080901 1
0.7%
20100224 1
0.7%
20131112 1
0.7%
20140811 1
0.7%
20150128 1
0.7%
ValueCountFrequency (%)
20200422 1
0.7%
20200318 1
0.7%
20191201 1
0.7%
20190810 1
0.7%
20190627 1
0.7%
20190318 1
0.7%
20190128 1
0.7%
20190116 1
0.7%
20180508 1
0.7%
20171025 1
0.7%

보험종료일자
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)100.0%
Missing115
Missing (%)80.4%
Infinite0
Infinite (%)0.0%
Mean20155243
Minimum20050513
Maximum20210421
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T15:07:37.621128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20050513
5-th percentile20051209
Q120133390
median20171020
Q320200118
95-th percentile20207102
Maximum20210421
Range159908
Interquartile range (IQR)66728.25

Descriptive statistics

Standard deviation53080.921
Coefficient of variation (CV)0.0026336036
Kurtosis-0.31304409
Mean20155243
Median Absolute Deviation (MAD)29202.5
Skewness-1.0272559
Sum5.6434681 × 108
Variance2.8175842 × 109
MonotonicityNot monotonic
2024-05-11T15:07:37.792037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
20160517 1
 
0.7%
20200626 1
 
0.7%
20210317 1
 
0.7%
20200318 1
 
0.7%
20201130 1
 
0.7%
20190124 1
 
0.7%
20180826 1
 
0.7%
20200115 1
 
0.7%
20170410 1
 
0.7%
20170730 1
 
0.7%
Other values (18) 18
 
12.6%
(Missing) 115
80.4%
ValueCountFrequency (%)
20050513 1
0.7%
20051206 1
0.7%
20051214 1
0.7%
20060214 1
0.7%
20090213 1
0.7%
20090831 1
0.7%
20110223 1
0.7%
20141112 1
0.7%
20150810 1
0.7%
20160127 1
0.7%
ValueCountFrequency (%)
20210421 1
0.7%
20210317 1
0.7%
20201130 1
0.7%
20200809 1
0.7%
20200626 1
0.7%
20200318 1
0.7%
20200127 1
0.7%
20200115 1
0.7%
20190507 1
0.7%
20190124 1
0.7%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing143
Missing (%)100.0%
Memory size1.4 KiB

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)75.0%
Missing127
Missing (%)88.8%
Infinite0
Infinite (%)0.0%
Mean154.375
Minimum0
Maximum790
Zeros4
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T15:07:37.980938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q116.5
median31.5
Q3164.5
95-th percentile620.5
Maximum790
Range790
Interquartile range (IQR)148

Descriptive statistics

Standard deviation245.99563
Coefficient of variation (CV)1.593494
Kurtosis2.0991964
Mean154.375
Median Absolute Deviation (MAD)31.5
Skewness1.7818776
Sum2470
Variance60513.85
MonotonicityNot monotonic
2024-05-11T15:07:38.189238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 4
 
2.8%
30 2
 
1.4%
564 1
 
0.7%
52 1
 
0.7%
150 1
 
0.7%
42 1
 
0.7%
208 1
 
0.7%
790 1
 
0.7%
33 1
 
0.7%
22 1
 
0.7%
Other values (2) 2
 
1.4%
(Missing) 127
88.8%
ValueCountFrequency (%)
0 4
2.8%
22 1
 
0.7%
27 1
 
0.7%
30 2
1.4%
33 1
 
0.7%
42 1
 
0.7%
52 1
 
0.7%
150 1
 
0.7%
208 1
 
0.7%
522 1
 
0.7%
ValueCountFrequency (%)
790 1
0.7%
564 1
0.7%
522 1
0.7%
208 1
0.7%
150 1
0.7%
52 1
0.7%
42 1
0.7%
33 1
0.7%
30 2
1.4%
27 1
0.7%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03040000CDFI226002199600000119960704<NA>3폐업3폐업20051206<NA><NA><NA>3424-3737<NA>143721서울특별시 광진구 구의동 546-4번지 테크노마트 16층동 1604호서울특별시 광진구 광나루로56길 85, 16층동 1604호 (구의동,테크노마트)<NA>(주)이상한여행사2005-12-07 10:05:49I2018-08-31 23:59:59.0<NA>208394.416382448165.28국내외여행업관광사업<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
13040000CDFI226002199600000319960907<NA>4취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>455-1947<NA>143898서울특별시 광진구 중곡동 157-4번지서울특별시 광진구 천호대로 561 (중곡동)<NA>도도관광주식회사2008-04-16 16:41:10I2018-08-31 23:59:59.0<NA>207055.507996450542.18794국내외여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23040000CDFI22600219970000011997-08-272023-07-184취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA>143-849서울특별시 광진구 능동 247-9서울특별시 광진구 능동로36길 127 (능동)<NA>(주)코뎀2023-07-18 17:09:42U2022-12-06 22:00:00.0<NA>207515.725351450198.231583<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33040000CDFI226002199700000219970827<NA>3폐업3폐업20010831<NA><NA><NA>435-8123<NA>143824서울특별시 광진구 구의동 232-81번지서울특별시 광진구 광나루로36길 27 (구의동)<NA>(주)세계체널2005-11-09 17:36:13I2018-08-31 23:59:59.0<NA>207584.349195449054.308219국내외여행업관광사업<NA>5주택가주변<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>
43040000CDFI226002199700000319970827<NA>2휴업2휴업<NA>1998031619980915<NA>461-8285<NA>143845서울특별시 광진구 자양동 90-4번지서울특별시 광진구 자양강변길 115 (자양동)<NA>(주)코뎀2003-05-13 11:34:49I2018-08-31 23:59:59.0<NA>205699.853226447787.173559국내외여행업관광사업<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
53040000CDFI226002199800000119980525<NA>3폐업3폐업20061117<NA><NA><NA>447-0367<NA>143816서울특별시 광진구 구의동 25-16번지 동일빌딩 302호서울특별시 광진구 자양로50가길 34 (구의동,동일빌딩 302호)<NA>(주)에스민여행사2006-11-20 13:55:30I2018-08-31 23:59:59.0<NA>208261.827859450120.967194국내외여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63040000CDFI226002199900000119991118<NA>3폐업3폐업20040707<NA><NA><NA>455-4111<NA>143831서울특별시 광진구 구의동 595-0번지 동서울호텔 1층서울특별시 광진구 구의강변로 38 (구의동,동서울호텔 1층)<NA>주식회사 서보관광2004-07-07 14:59:26I2018-08-31 23:59:59.0<NA>208051.884671447994.805558국내외여행업관광사업<NA>14주택가주변<NA><NA>근린생활시설104<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>563.99<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>564
73040000CDFI22600219990000021999-06-16<NA>1영업/정상13영업중<NA><NA><NA><NA>02-464-2905<NA><NA>서울특별시 광진구 군자동 98서울특별시 광진구 군자로 121, 세종대학교 우정당 1층 (군자동)5000프로페셔널투어(주)2023-11-17 14:49:32U2022-10-31 23:09:00.0<NA>206481.06274449832.323358<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83040000CDFI226002200000000320000724<NA>3폐업3폐업20150602<NA><NA><NA>02-3436-3006<NA>143826서울특별시 광진구 구의동 252-11번지 성지하이츠 8층 910호서울특별시 광진구 자양로 126, 8층 910호 (구의동, 성지하이츠)143826주식회사 제이티씨여행사2015-06-10 13:37:12I2018-08-31 23:59:59.0<NA>207336.338043448547.289498국내외여행업관광사업<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>2013111220141112<NA><NA>
93040000CDFI226002200000000420000920<NA>4취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA>605-0555<NA>143721서울특별시 광진구 구의동 546-4번지 테크노마트사무동18층16호서울특별시 광진구 광나루로56길 85 (구의동,테크노마트사무동18층16호)<NA>(주)투어존2007-07-02 15:39:53I2018-08-31 23:59:59.0<NA>208394.416382448165.28국내외여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
1333040000CDFI22600220230000042006-03-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 중곡동 21-9서울특별시 광진구 용마산로 106, 101호 (중곡동)4941(주)공신항공여행사2023-11-17 15:59:08U2022-10-31 23:09:00.0<NA>207641.17491451208.296961<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1343040000CDFI22600220230000052020-01-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 광장동 184-11 한강빌딩 305호서울특별시 광진구 아차산로78길 170, 한강빌딩 305호 (광장동)4969주식회사 홍도여행사2024-01-24 09:59:05U2023-11-30 22:06:00.0<NA>209505.045903449527.055432<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1353040000CDFI22600220230000062014-02-17<NA>1영업/정상13영업중<NA><NA><NA><NA>070-4232-7602<NA><NA>서울특별시 광진구 자양동 682-26 101호서울특별시 광진구 뚝섬로 702-4, 101호 (자양동)5112(주)이엔휴2024-02-21 16:36:26U2023-12-01 22:03:00.0<NA>207646.705608447857.642335<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1363040000CDFI22600220230000072023-06-05<NA>3폐업3폐업2023-06-13<NA><NA><NA><NA><NA><NA>서울특별시 광진구 자양동 216-10 한승빌딩 301호서울특별시 광진구 아차산로 378, 한승빌딩 301호 (자양동)5051이청우행정사사무소2023-06-14 09:01:19U2022-12-05 23:06:00.0<NA>207428.020929448255.352028<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1373040000CDFI22600220230000082007-04-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 구의동 72-30서울특별시 광진구 천호대로136길 28, 2층 (구의동)4975해랑여행사2023-11-17 15:39:21U2022-10-31 23:09:00.0<NA>207946.743084449566.594501<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1383040000CDFI22600220230000092023-11-03<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 중곡동 645-7서울특별시 광진구 긴고랑로14길 64, B1층 (중곡동)4918트래블티움2023-11-23 09:30:21U2022-10-31 22:05:00.0<NA>207002.785698450846.436422<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1393040000CDFI22600220230000102023-11-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 능동 246-12 능동 하늘집 325호서울특별시 광진구 능동로36길 109, 능동 하늘집 325호 (능동)4987교육상점 주식회사2024-04-26 17:25:35U2023-12-03 22:08:00.0<NA>207434.987336450238.049488<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1403040000CDFI22600220230000112023-12-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 중곡동 123-40서울특별시 광진구 용마산로 31, 4층 (중곡동)4924새빛여행사2023-12-22 12:59:27I2022-11-01 22:04:00.0<NA>207696.100819450463.337791<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1413040000CDFI22600220240000012024-02-23<NA>3폐업3폐업2024-04-29<NA><NA><NA>02-446-1555<NA><NA>서울특별시 광진구 능동 279-3 호안빌딩 1002호서울특별시 광진구 능동로 296, 호안빌딩 (능동)4985나우엔터프라이즈2024-04-30 13:38:04U2023-12-05 00:02:00.0<NA>206930.096794450421.476068<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1423040000CDFI22600220240000022024-03-14<NA>1영업/정상13영업중<NA><NA><NA><NA>070-4808-0476<NA><NA>서울특별시 광진구 능동 246-12 능동 하늘집 322호서울특별시 광진구 능동로36길 109, 능동 하늘집 3층 322호 (능동)4987투어앙상블2024-03-14 11:01:26I2023-12-02 23:06:00.0<NA>207434.987336450238.049488<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>