Overview

Dataset statistics

Number of variables60
Number of observations25
Missing cells907
Missing cells (%)60.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.9 KiB
Average record size in memory530.3 B

Variable types

Categorical11
Text6
DateTime4
Unsupported32
Numeric7

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,문화사업자구분명,지역구분명,총층수,주변환경명,제작취급품목내용,보험기관명,건물용도명,지상층수,지하층수,객실수,건축연면적,영문상호명,영문상호주소,선박총톤수,선박척수,선박제원,무대면적,좌석수,기념품종류,회의실별동시수용인원,시설면적,놀이기구수내역,놀이시설수,방송시설유무,발전시설유무,의무실유무,안내소유무,기획여행보험시작일자,기획여행보험종료일자,자본금,보험시작일자,보험종료일자,부대시설내역,시설규모
Author강북구
URLhttps://data.seoul.go.kr/dataList/OA-17560/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
지상층수 is highly imbalanced (69.6%)Imbalance
시설면적 is highly imbalanced (75.8%)Imbalance
시설규모 is highly imbalanced (75.8%)Imbalance
인허가취소일자 has 25 (100.0%) missing valuesMissing
폐업일자 has 5 (20.0%) missing valuesMissing
휴업시작일자 has 25 (100.0%) missing valuesMissing
휴업종료일자 has 25 (100.0%) missing valuesMissing
재개업일자 has 25 (100.0%) missing valuesMissing
전화번호 has 15 (60.0%) missing valuesMissing
소재지면적 has 25 (100.0%) missing valuesMissing
소재지우편번호 has 15 (60.0%) missing valuesMissing
도로명우편번호 has 3 (12.0%) missing valuesMissing
업태구분명 has 25 (100.0%) missing valuesMissing
지역구분명 has 25 (100.0%) missing valuesMissing
총층수 has 25 (100.0%) missing valuesMissing
주변환경명 has 25 (100.0%) missing valuesMissing
제작취급품목내용 has 25 (100.0%) missing valuesMissing
보험기관명 has 18 (72.0%) missing valuesMissing
건물용도명 has 25 (100.0%) missing valuesMissing
지하층수 has 25 (100.0%) missing valuesMissing
객실수 has 25 (100.0%) missing valuesMissing
건축연면적 has 25 (100.0%) missing valuesMissing
영문상호명 has 25 (100.0%) missing valuesMissing
영문상호주소 has 25 (100.0%) missing valuesMissing
선박총톤수 has 25 (100.0%) missing valuesMissing
선박척수 has 25 (100.0%) missing valuesMissing
선박제원 has 25 (100.0%) missing valuesMissing
무대면적 has 25 (100.0%) missing valuesMissing
좌석수 has 25 (100.0%) missing valuesMissing
기념품종류 has 25 (100.0%) missing valuesMissing
회의실별동시수용인원 has 25 (100.0%) missing valuesMissing
놀이기구수내역 has 25 (100.0%) missing valuesMissing
놀이시설수 has 25 (100.0%) missing valuesMissing
방송시설유무 has 25 (100.0%) missing valuesMissing
발전시설유무 has 25 (100.0%) missing valuesMissing
의무실유무 has 25 (100.0%) missing valuesMissing
안내소유무 has 25 (100.0%) missing valuesMissing
기획여행보험시작일자 has 25 (100.0%) missing valuesMissing
기획여행보험종료일자 has 25 (100.0%) missing valuesMissing
자본금 has 15 (60.0%) missing valuesMissing
보험시작일자 has 18 (72.0%) missing valuesMissing
보험종료일자 has 18 (72.0%) missing valuesMissing
부대시설내역 has 25 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주변환경명 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
건물용도명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지하층수 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
영문상호명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영문상호주소 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

Reproduction

Analysis started2024-05-11 05:47:55.509696
Analysis finished2024-05-11 05:47:56.188820
Duration0.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
3080000
25 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3080000
2nd row3080000
3rd row3080000
4th row3080000
5th row3080000

Common Values

ValueCountFrequency (%)
3080000 25
100.0%

Length

2024-05-11T14:47:56.269883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:56.377039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3080000 25
100.0%

관리번호
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-05-11T14:47:56.564911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters500
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

Unique25 ?
Unique (%)100.0%

Sample

1st rowCDFI2260011996000001
2nd rowCDFI2260012004000002
3rd rowCDFI2260012006000001
4th rowCDFI2260012007000001
5th rowCDFI2260012009000001
ValueCountFrequency (%)
cdfi2260011996000001 1
 
4.0%
cdfi2260012017000001 1
 
4.0%
cdfi2260012020000005 1
 
4.0%
cdfi2260012020000004 1
 
4.0%
cdfi2260012020000003 1
 
4.0%
cdfi2260012020000001 1
 
4.0%
cdfi2260012019000005 1
 
4.0%
cdfi2260012019000004 1
 
4.0%
cdfi2260012019000003 1
 
4.0%
cdfi2260012019000002 1
 
4.0%
Other values (15) 15
60.0%
2024-05-11T14:47:57.003444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 208
41.6%
2 89
17.8%
1 52
 
10.4%
6 28
 
5.6%
C 25
 
5.0%
D 25
 
5.0%
F 25
 
5.0%
I 25
 
5.0%
9 8
 
1.6%
3 5
 
1.0%
Other values (3) 10
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 400
80.0%
Uppercase Letter 100
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 208
52.0%
2 89
22.2%
1 52
 
13.0%
6 28
 
7.0%
9 8
 
2.0%
3 5
 
1.2%
7 4
 
1.0%
4 3
 
0.8%
5 3
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
C 25
25.0%
D 25
25.0%
F 25
25.0%
I 25
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 400
80.0%
Latin 100
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 208
52.0%
2 89
22.2%
1 52
 
13.0%
6 28
 
7.0%
9 8
 
2.0%
3 5
 
1.2%
7 4
 
1.0%
4 3
 
0.8%
5 3
 
0.8%
Latin
ValueCountFrequency (%)
C 25
25.0%
D 25
25.0%
F 25
25.0%
I 25
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 500
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 208
41.6%
2 89
17.8%
1 52
 
10.4%
6 28
 
5.6%
C 25
 
5.0%
D 25
 
5.0%
F 25
 
5.0%
I 25
 
5.0%
9 8
 
1.6%
3 5
 
1.0%
Other values (3) 10
 
2.0%

인허가일자
Date

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum1996-08-19 00:00:00
Maximum2021-06-16 00:00:00
2024-05-11T14:47:57.204190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:47:57.364864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
3
19 
1
5 
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 19
76.0%
1 5
 
20.0%
5 1
 
4.0%

Length

2024-05-11T14:47:57.522706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:57.642088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 19
76.0%
1 5
 
20.0%
5 1
 
4.0%

영업상태명
Categorical

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
폐업
19 
영업/정상
5 
제외/삭제/전출
 
1

Length

Max length8
Median length2
Mean length2.84
Min length2

Unique

Unique1 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 19
76.0%
영업/정상 5
 
20.0%
제외/삭제/전출 1
 
4.0%

Length

2024-05-11T14:47:57.781366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:57.912941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 19
76.0%
영업/정상 5
 
20.0%
제외/삭제/전출 1
 
4.0%

상세영업상태코드
Categorical

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
3
19 
13
5 
15
 
1

Length

Max length2
Median length1
Mean length1.24
Min length1

Unique

Unique1 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 19
76.0%
13 5
 
20.0%
15 1
 
4.0%

Length

2024-05-11T14:47:58.092002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:58.263209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 19
76.0%
13 5
 
20.0%
15 1
 
4.0%

상세영업상태명
Categorical

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
폐업
19 
영업중
5 
전출
 
1

Length

Max length3
Median length2
Mean length2.2
Min length2

Unique

Unique1 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 19
76.0%
영업중 5
 
20.0%
전출 1
 
4.0%

Length

2024-05-11T14:47:58.396137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:58.538770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 19
76.0%
영업중 5
 
20.0%
전출 1
 
4.0%

폐업일자
Date

MISSING 

Distinct18
Distinct (%)90.0%
Missing5
Missing (%)20.0%
Memory size332.0 B
Minimum2009-03-06 00:00:00
Maximum2023-07-20 00:00:00
2024-05-11T14:47:58.686701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:47:58.844523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

전화번호
Text

MISSING 

Distinct10
Distinct (%)100.0%
Missing15
Missing (%)60.0%
Memory size332.0 B
2024-05-11T14:47:59.076125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9.5
Mean length9.5
Min length8

Characters and Unicode

Total characters95
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

Unique10 ?
Unique (%)100.0%

Sample

1st row997-4673
2nd row988-8114
3rd row02-989-9603
4th row996-0565
5th row998-3091
ValueCountFrequency (%)
997-4673 1
10.0%
988-8114 1
10.0%
02-989-9603 1
10.0%
996-0565 1
10.0%
998-3091 1
10.0%
02-995-4007 1
10.0%
02-730-4892 1
10.0%
955-8663 1
10.0%
02-542-7115 1
10.0%
02-388-1248 1
10.0%
2024-05-11T14:47:59.665920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 15
15.8%
- 15
15.8%
0 11
11.6%
8 10
10.5%
2 8
8.4%
5 7
7.4%
4 6
 
6.3%
6 6
 
6.3%
3 6
 
6.3%
1 6
 
6.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 80
84.2%
Dash Punctuation 15
 
15.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 15
18.8%
0 11
13.8%
8 10
12.5%
2 8
10.0%
5 7
8.8%
4 6
 
7.5%
6 6
 
7.5%
3 6
 
7.5%
1 6
 
7.5%
7 5
 
6.2%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 95
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 15
15.8%
- 15
15.8%
0 11
11.6%
8 10
10.5%
2 8
8.4%
5 7
7.4%
4 6
 
6.3%
6 6
 
6.3%
3 6
 
6.3%
1 6
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 95
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 15
15.8%
- 15
15.8%
0 11
11.6%
8 10
10.5%
2 8
8.4%
5 7
7.4%
4 6
 
6.3%
6 6
 
6.3%
3 6
 
6.3%
1 6
 
6.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)90.0%
Missing15
Missing (%)60.0%
Infinite0
Infinite (%)0.0%
Mean142451.6
Minimum139920
Maximum142882
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-05-11T14:47:59.794101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum139920
5-th percentile140887.95
Q1142703
median142807
Q3142874.5
95-th percentile142880.65
Maximum142882
Range2962
Interquartile range (IQR)171.5

Descriptive statistics

Standard deviation922.21547
Coefficient of variation (CV)0.0064738864
Kurtosis8.1124171
Mean142451.6
Median Absolute Deviation (MAD)73.5
Skewness-2.8070967
Sum1424516
Variance850481.38
MonotonicityNot monotonic
2024-05-11T14:47:59.914587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
142703 2
 
8.0%
142867 1
 
4.0%
142882 1
 
4.0%
142879 1
 
4.0%
142804 1
 
4.0%
142071 1
 
4.0%
142877 1
 
4.0%
142810 1
 
4.0%
139920 1
 
4.0%
(Missing) 15
60.0%
ValueCountFrequency (%)
139920 1
4.0%
142071 1
4.0%
142703 2
8.0%
142804 1
4.0%
142810 1
4.0%
142867 1
4.0%
142877 1
4.0%
142879 1
4.0%
142882 1
4.0%
ValueCountFrequency (%)
142882 1
4.0%
142879 1
4.0%
142877 1
4.0%
142867 1
4.0%
142810 1
4.0%
142804 1
4.0%
142703 2
8.0%
142071 1
4.0%
139920 1
4.0%

지번주소
Text

Distinct23
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-05-11T14:48:00.158169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length29
Mean length25.44
Min length19

Characters and Unicode

Total characters636
Distinct characters59
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)84.0%

Sample

1st row서울특별시 강북구 번동 446-13번지 1층
2nd row서울특별시 강북구 수유동 311-4 1층
3rd row서울특별시 강북구 수유동 269-7번지 3층
4th row서울특별시 강북구 미아동 35-4 트레지오빌딩 1층 24호
5th row서울특별시 강북구 수유동 57-50번지
ValueCountFrequency (%)
서울특별시 25
19.5%
강북구 24
18.8%
수유동 9
 
7.0%
미아동 9
 
7.0%
번동 6
 
4.7%
1층 4
 
3.1%
3층 3
 
2.3%
472-193 2
 
1.6%
건우빌딩 2
 
1.6%
304-2 2
 
1.6%
Other values (39) 42
32.8%
2024-05-11T14:48:00.705138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
112
 
17.6%
1 28
 
4.4%
동 27
 
4.2%
서 25
 
3.9%
- 25
 
3.9%
특 25
 
3.9%
별 25
 
3.9%
시 25
 
3.9%
구 25
 
3.9%
울 25
 
3.9%
Other values (49) 294
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 356
56.0%
Decimal Number 143
22.5%
Space Separator 112
 
17.6%
Dash Punctuation 25
 
3.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 27
 
7.6%
서 25
 
7.0%
특 25
 
7.0%
별 25
 
7.0%
시 25
 
7.0%
구 25
 
7.0%
울 25
 
7.0%
강 24
 
6.7%
북 24
 
6.7%
번 16
 
4.5%
Other values (37) 115
32.3%
Decimal Number
ValueCountFrequency (%)
1 28
19.6%
2 24
16.8%
4 21
14.7%
3 20
14.0%
7 12
8.4%
6 12
8.4%
0 12
8.4%
9 6
 
4.2%
5 5
 
3.5%
8 3
 
2.1%
Space Separator
ValueCountFrequency (%)
112
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 356
56.0%
Common 280
44.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 27
 
7.6%
서 25
 
7.0%
특 25
 
7.0%
별 25
 
7.0%
시 25
 
7.0%
구 25
 
7.0%
울 25
 
7.0%
강 24
 
6.7%
북 24
 
6.7%
번 16
 
4.5%
Other values (37) 115
32.3%
Common
ValueCountFrequency (%)
112
40.0%
1 28
 
10.0%
- 25
 
8.9%
2 24
 
8.6%
4 21
 
7.5%
3 20
 
7.1%
7 12
 
4.3%
6 12
 
4.3%
0 12
 
4.3%
9 6
 
2.1%
Other values (2) 8
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 356
56.0%
ASCII 280
44.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
112
40.0%
1 28
 
10.0%
- 25
 
8.9%
2 24
 
8.6%
4 21
 
7.5%
3 20
 
7.1%
7 12
 
4.3%
6 12
 
4.3%
0 12
 
4.3%
9 6
 
2.1%
Other values (2) 8
 
2.9%
Hangul
ValueCountFrequency (%)
동 27
 
7.6%
서 25
 
7.0%
특 25
 
7.0%
별 25
 
7.0%
시 25
 
7.0%
구 25
 
7.0%
울 25
 
7.0%
강 24
 
6.7%
북 24
 
6.7%
번 16
 
4.5%
Other values (37) 115
32.3%

도로명주소
Text

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-05-11T14:48:00.986803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length34
Mean length30.12
Min length22

Characters and Unicode

Total characters753
Distinct characters75
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

Unique23 ?
Unique (%)92.0%

Sample

1st row서울특별시 강북구 도봉로 328 (번동,1층)
2nd row서울특별시 강북구 삼양로117길 31, 1층 (수유동)
3rd row서울특별시 강북구 노해로23길 125 (수유동,3층)
4th row서울특별시 강북구 도봉로 34 (미아동)
5th row서울특별시 강북구 삼양로80길 10 (수유동)
ValueCountFrequency (%)
서울특별시 25
16.2%
강북구 24
15.6%
도봉로 11
 
7.1%
미아동 9
 
5.8%
수유동 8
 
5.2%
328 5
 
3.2%
번동 5
 
3.2%
3층 4
 
2.6%
한천로 2
 
1.3%
1층 2
 
1.3%
Other values (52) 59
38.3%
2024-05-11T14:48:01.457458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
132
 
17.5%
1 29
 
3.9%
동 27
 
3.6%
서 25
 
3.3%
( 25
 
3.3%
특 25
 
3.3%
별 25
 
3.3%
시 25
 
3.3%
구 25
 
3.3%
울 25
 
3.3%
Other values (65) 390
51.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 423
56.2%
Space Separator 132
 
17.5%
Decimal Number 125
 
16.6%
Open Punctuation 25
 
3.3%
Close Punctuation 25
 
3.3%
Other Punctuation 18
 
2.4%
Dash Punctuation 4
 
0.5%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 27
 
6.4%
서 25
 
5.9%
특 25
 
5.9%
별 25
 
5.9%
시 25
 
5.9%
구 25
 
5.9%
울 25
 
5.9%
로 25
 
5.9%
강 24
 
5.7%
북 24
 
5.7%
Other values (49) 173
40.9%
Decimal Number
ValueCountFrequency (%)
1 29
23.2%
3 25
20.0%
2 20
16.0%
0 9
 
7.2%
6 8
 
6.4%
9 8
 
6.4%
4 8
 
6.4%
7 7
 
5.6%
8 6
 
4.8%
5 5
 
4.0%
Space Separator
ValueCountFrequency (%)
132
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Other Punctuation
ValueCountFrequency (%)
, 18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 423
56.2%
Common 329
43.7%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 27
 
6.4%
서 25
 
5.9%
특 25
 
5.9%
별 25
 
5.9%
시 25
 
5.9%
구 25
 
5.9%
울 25
 
5.9%
로 25
 
5.9%
강 24
 
5.7%
북 24
 
5.7%
Other values (49) 173
40.9%
Common
ValueCountFrequency (%)
132
40.1%
1 29
 
8.8%
( 25
 
7.6%
3 25
 
7.6%
) 25
 
7.6%
2 20
 
6.1%
, 18
 
5.5%
0 9
 
2.7%
6 8
 
2.4%
9 8
 
2.4%
Other values (5) 30
 
9.1%
Latin
ValueCountFrequency (%)
C 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 423
56.2%
ASCII 330
43.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
132
40.0%
1 29
 
8.8%
( 25
 
7.6%
3 25
 
7.6%
) 25
 
7.6%
2 20
 
6.1%
, 18
 
5.5%
0 9
 
2.7%
6 8
 
2.4%
9 8
 
2.4%
Other values (6) 31
 
9.4%
Hangul
ValueCountFrequency (%)
동 27
 
6.4%
서 25
 
5.9%
특 25
 
5.9%
별 25
 
5.9%
시 25
 
5.9%
구 25
 
5.9%
울 25
 
5.9%
로 25
 
5.9%
강 24
 
5.7%
북 24
 
5.7%
Other values (49) 173
40.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)77.3%
Missing3
Missing (%)12.0%
Infinite0
Infinite (%)0.0%
Mean13860.636
Minimum1030
Maximum142810
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-05-11T14:48:01.607477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1030
5-th percentile1040.7
Q11062.25
median1114.5
Q31170
95-th percentile132985
Maximum142810
Range141780
Interquartile range (IQR)107.75

Descriptive statistics

Standard deviation41271.714
Coefficient of variation (CV)2.9776204
Kurtosis8.0911596
Mean13860.636
Median Absolute Deviation (MAD)54
Skewness3.0593202
Sum304934
Variance1.7033544 × 109
MonotonicityNot monotonic
2024-05-11T14:48:01.776145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
1062 2
 
8.0%
1111 2
 
8.0%
1170 2
 
8.0%
1054 2
 
8.0%
1220 2
 
8.0%
1064 1
 
4.0%
1125 1
 
4.0%
1063 1
 
4.0%
1135 1
 
4.0%
1030 1
 
4.0%
Other values (7) 7
28.0%
(Missing) 3
12.0%
ValueCountFrequency (%)
1030 1
4.0%
1040 1
4.0%
1054 2
8.0%
1062 2
8.0%
1063 1
4.0%
1064 1
4.0%
1072 1
4.0%
1111 2
8.0%
1118 1
4.0%
1125 1
4.0%
ValueCountFrequency (%)
142810 1
4.0%
139920 1
4.0%
1220 2
8.0%
1195 1
4.0%
1170 2
8.0%
1135 1
4.0%
1128 1
4.0%
1125 1
4.0%
1118 1
4.0%
1111 2
8.0%

사업장명
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-05-11T14:48:02.044530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length7.36
Min length4

Characters and Unicode

Total characters184
Distinct characters73
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row(주)림스항공투어
2nd row(주)아스타덤보
3rd row골든투어여행사
4th row하나웰여행사
5th row(주)부광코리아
ValueCountFrequency (%)
주)림스항공투어 1
 
3.6%
주)아스타덤보 1
 
3.6%
주)하나타임투어 1
 
3.6%
힐링투어 1
 
3.6%
나라여행 1
 
3.6%
주)더하나투어 1
 
3.6%
주)아제타 1
 
3.6%
주)인서울여행사 1
 
3.6%
컴퍼니 1
 
3.6%
스트로젤리 1
 
3.6%
Other values (18) 18
64.3%
2024-05-11T14:48:02.589258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 14
 
7.6%
) 14
 
7.6%
주 14
 
7.6%
투 13
 
7.1%
어 13
 
7.1%
나 6
 
3.3%
행 6
 
3.3%
여 6
 
3.3%
이 5
 
2.7%
아 5
 
2.7%
Other values (63) 88
47.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 153
83.2%
Open Punctuation 14
 
7.6%
Close Punctuation 14
 
7.6%
Space Separator 3
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 14
 
9.2%
투 13
 
8.5%
어 13
 
8.5%
나 6
 
3.9%
행 6
 
3.9%
여 6
 
3.9%
이 5
 
3.3%
아 5
 
3.3%
하 5
 
3.3%
스 4
 
2.6%
Other values (60) 76
49.7%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 153
83.2%
Common 31
 
16.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 14
 
9.2%
투 13
 
8.5%
어 13
 
8.5%
나 6
 
3.9%
행 6
 
3.9%
여 6
 
3.9%
이 5
 
3.3%
아 5
 
3.3%
하 5
 
3.3%
스 4
 
2.6%
Other values (60) 76
49.7%
Common
ValueCountFrequency (%)
( 14
45.2%
) 14
45.2%
3
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 153
83.2%
ASCII 31
 
16.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 14
45.2%
) 14
45.2%
3
 
9.7%
Hangul
ValueCountFrequency (%)
주 14
 
9.2%
투 13
 
8.5%
어 13
 
8.5%
나 6
 
3.9%
행 6
 
3.9%
여 6
 
3.9%
이 5
 
3.3%
아 5
 
3.3%
하 5
 
3.3%
스 4
 
2.6%
Other values (60) 76
49.7%

최종수정일자
Date

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum2009-03-06 17:49:04
Maximum2023-07-20 14:36:22
2024-05-11T14:48:02.837089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:48:03.004950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

데이터갱신구분
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
U
16 
I
9 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 16
64.0%
I 9
36.0%

Length

2024-05-11T14:48:03.161526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:48:03.278112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 16
64.0%
i 9
36.0%

데이터갱신일자
Date

Distinct17
Distinct (%)68.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum2018-08-31 23:59:59
Maximum2022-12-06 22:02:00
2024-05-11T14:48:03.391573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:48:03.549531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

좌표정보(X)
Real number (ℝ)

Distinct20
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean202232.74
Minimum201203.3
Maximum206204.45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-05-11T14:48:03.722180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201203.3
5-th percentile201459.06
Q1201731.68
median202155.4
Q3202376.01
95-th percentile202732.81
Maximum206204.45
Range5001.1486
Interquartile range (IQR)644.32582

Descriptive statistics

Standard deviation924.26306
Coefficient of variation (CV)0.0045702939
Kurtosis15.028979
Mean202232.74
Median Absolute Deviation (MAD)220.60892
Skewness3.4379345
Sum5055818.5
Variance854262.21
MonotonicityNot monotonic
2024-05-11T14:48:03.909740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
202155.401317068 3
 
12.0%
202228.431717714 2
 
8.0%
201505.406518175 2
 
8.0%
202376.010239172 2
 
8.0%
201553.771503371 1
 
4.0%
202030.25340559 1
 
4.0%
202044.19825778 1
 
4.0%
202317.064607714 1
 
4.0%
201447.478663474 1
 
4.0%
202642.446045912 1
 
4.0%
Other values (10) 10
40.0%
ValueCountFrequency (%)
201203.296540412 1
4.0%
201447.478663474 1
4.0%
201505.406518175 2
8.0%
201553.771503371 1
4.0%
201612.150473236 1
4.0%
201731.684416461 1
4.0%
202030.25340559 1
4.0%
202044.19825778 1
4.0%
202118.124196494 1
4.0%
202122.080829925 1
4.0%
ValueCountFrequency (%)
206204.445134058 1
 
4.0%
202746.888755716 1
 
4.0%
202676.491829512 1
 
4.0%
202642.446045912 1
 
4.0%
202535.474544749 1
 
4.0%
202376.010239172 2
8.0%
202317.064607714 1
 
4.0%
202228.431717714 2
8.0%
202155.401317068 3
12.0%
202146.713366311 1
 
4.0%

좌표정보(Y)
Real number (ℝ)

Distinct20
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean458978.5
Minimum456377.65
Maximum460569.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-05-11T14:48:04.097668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum456377.65
5-th percentile456752.91
Q1458342.09
median459196.15
Q3459667.55
95-th percentile460437.96
Maximum460569.97
Range4192.3206
Interquartile range (IQR)1325.4686

Descriptive statistics

Standard deviation1096.389
Coefficient of variation (CV)0.002388759
Kurtosis0.46285061
Mean458978.5
Median Absolute Deviation (MAD)582.5643
Skewness-0.83762578
Sum11474462
Variance1202068.9
MonotonicityNot monotonic
2024-05-11T14:48:04.264280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
459411.940883021 3
 
12.0%
458158.105668456 2
 
8.0%
458926.401526974 2
 
8.0%
459778.715958017 2
 
8.0%
458713.951254698 1
 
4.0%
458962.158613007 1
 
4.0%
458256.329249215 1
 
4.0%
459590.573498344 1
 
4.0%
460569.972568202 1
 
4.0%
456636.308192293 1
 
4.0%
Other values (10) 10
40.0%
ValueCountFrequency (%)
456377.651999255 1
4.0%
456636.308192293 1
4.0%
457219.335594234 1
4.0%
458158.105668456 2
8.0%
458256.329249215 1
4.0%
458342.085285706 1
4.0%
458524.956816408 1
4.0%
458713.951254698 1
4.0%
458926.401526974 2
8.0%
458962.158613007 1
4.0%
ValueCountFrequency (%)
460569.972568202 1
 
4.0%
460466.440748874 1
 
4.0%
460324.037639614 1
 
4.0%
460153.957797598 1
 
4.0%
459778.715958017 2
8.0%
459667.553848111 1
 
4.0%
459590.573498344 1
 
4.0%
459498.749255955 1
 
4.0%
459411.940883021 3
12.0%
459196.151658569 1
 
4.0%

문화체육업종명
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
13 
국내여행업
12 

Length

Max length5
Median length4
Mean length4.48
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 13
52.0%
국내여행업 12
48.0%

Length

2024-05-11T14:48:04.442813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:48:04.600316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 13
52.0%
국내여행업 12
48.0%

문화사업자구분명
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
22 
관광사업
3 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 22
88.0%
관광사업 3
 
12.0%

Length

2024-05-11T14:48:04.743604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:48:04.880631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
88.0%
관광사업 3
 
12.0%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

총층수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

보험기관명
Text

MISSING 

Distinct4
Distinct (%)57.1%
Missing18
Missing (%)72.0%
Memory size332.0 B
2024-05-11T14:48:05.094463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length10
Mean length10.142857
Min length8

Characters and Unicode

Total characters71
Distinct characters25
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)28.6%

Sample

1st row서울시관광협회장
2nd row서울보증보험주식회사
3rd row서울특별시관광협회
4th row한국관광협회중앙회 여행공제회
5th row서울보증보험주식회사
ValueCountFrequency (%)
서울보증보험주식회사 3
37.5%
서울특별시관광협회 2
25.0%
서울시관광협회장 1
 
12.5%
한국관광협회중앙회 1
 
12.5%
여행공제회 1
 
12.5%
2024-05-11T14:48:05.538187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
회 9
 
12.7%
서 6
 
8.5%
보 6
 
8.5%
울 6
 
8.5%
협 4
 
5.6%
광 4
 
5.6%
관 4
 
5.6%
식 3
 
4.2%
시 3
 
4.2%
주 3
 
4.2%
Other values (15) 23
32.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 70
98.6%
Space Separator 1
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 9
12.9%
서 6
 
8.6%
보 6
 
8.6%
울 6
 
8.6%
협 4
 
5.7%
광 4
 
5.7%
관 4
 
5.7%
식 3
 
4.3%
시 3
 
4.3%
주 3
 
4.3%
Other values (14) 22
31.4%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 70
98.6%
Common 1
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 9
12.9%
서 6
 
8.6%
보 6
 
8.6%
울 6
 
8.6%
협 4
 
5.7%
광 4
 
5.7%
관 4
 
5.7%
식 3
 
4.3%
시 3
 
4.3%
주 3
 
4.3%
Other values (14) 22
31.4%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 70
98.6%
ASCII 1
 
1.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
회 9
12.9%
서 6
 
8.6%
보 6
 
8.6%
울 6
 
8.6%
협 4
 
5.7%
광 4
 
5.7%
관 4
 
5.7%
식 3
 
4.3%
시 3
 
4.3%
주 3
 
4.3%
Other values (14) 22
31.4%
ASCII
ValueCountFrequency (%)
1
100.0%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

지상층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
23 
1
 
1
2
 
1

Length

Max length4
Median length4
Mean length3.76
Min length1

Unique

Unique2 ?
Unique (%)8.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 23
92.0%
1 1
 
4.0%
2 1
 
4.0%

Length

2024-05-11T14:48:05.733766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:48:05.910494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
92.0%
1 1
 
4.0%
2 1
 
4.0%

지하층수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

객실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

건축연면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

영문상호명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

영문상호주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

선박총톤수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

선박척수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

무대면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

좌석수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

회의실별동시수용인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

시설면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
24 
21
 
1

Length

Max length4
Median length4
Mean length3.92
Min length2

Unique

Unique1 ?
Unique (%)4.0%

Sample

1st row21
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 24
96.0%
21 1
 
4.0%

Length

2024-05-11T14:48:06.139010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:48:06.321094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
96.0%
21 1
 
4.0%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

놀이시설수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

자본금
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)80.0%
Missing15
Missing (%)60.0%
Infinite0
Infinite (%)0.0%
Mean50147069
Minimum15000000
Maximum1.3675458 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-05-11T14:48:06.489290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15000000
5-th percentile17250000
Q130000000
median31858054
Q354500000
95-th percentile1.2021502 × 108
Maximum1.3675458 × 108
Range1.2175458 × 108
Interquartile range (IQR)24500000

Descriptive statistics

Standard deviation38947694
Coefficient of variation (CV)0.7766694
Kurtosis1.8600835
Mean50147069
Median Absolute Deviation (MAD)14358054
Skewness1.5843351
Sum5.0147069 × 108
Variance1.5169229 × 1015
MonotonicityNot monotonic
2024-05-11T14:48:06.676980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
30000000 3
 
12.0%
20000000 1
 
4.0%
56000000 1
 
4.0%
50000000 1
 
4.0%
100000000 1
 
4.0%
15000000 1
 
4.0%
33716109 1
 
4.0%
136754579 1
 
4.0%
(Missing) 15
60.0%
ValueCountFrequency (%)
15000000 1
 
4.0%
20000000 1
 
4.0%
30000000 3
12.0%
33716109 1
 
4.0%
50000000 1
 
4.0%
56000000 1
 
4.0%
100000000 1
 
4.0%
136754579 1
 
4.0%
ValueCountFrequency (%)
136754579 1
 
4.0%
100000000 1
 
4.0%
56000000 1
 
4.0%
50000000 1
 
4.0%
33716109 1
 
4.0%
30000000 3
12.0%
20000000 1
 
4.0%
15000000 1
 
4.0%

보험시작일자
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing18
Missing (%)72.0%
Infinite0
Infinite (%)0.0%
Mean20134917
Minimum20071206
Maximum20170205
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-05-11T14:48:06.847393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20071206
5-th percentile20086092
Q120125574
median20140213
Q320155822
95-th percentile20167420
Maximum20170205
Range98999
Interquartile range (IQR)30249

Descriptive statistics

Standard deviation32858.613
Coefficient of variation (CV)0.001631922
Kurtosis2.0407371
Mean20134917
Median Absolute Deviation (MAD)19387
Skewness-1.2882476
Sum1.4094442 × 108
Variance1.0796885 × 109
MonotonicityNot monotonic
2024-05-11T14:48:06.984037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
20071206 1
 
4.0%
20150724 1
 
4.0%
20160921 1
 
4.0%
20170205 1
 
4.0%
20140213 1
 
4.0%
20120826 1
 
4.0%
20130321 1
 
4.0%
(Missing) 18
72.0%
ValueCountFrequency (%)
20071206 1
4.0%
20120826 1
4.0%
20130321 1
4.0%
20140213 1
4.0%
20150724 1
4.0%
20160921 1
4.0%
20170205 1
4.0%
ValueCountFrequency (%)
20170205 1
4.0%
20160921 1
4.0%
20150724 1
4.0%
20140213 1
4.0%
20130321 1
4.0%
20120826 1
4.0%
20071206 1
4.0%

보험종료일자
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing18
Missing (%)72.0%
Infinite0
Infinite (%)0.0%
Mean20144916
Minimum20081206
Maximum20180205
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-05-11T14:48:07.122216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20081206
5-th percentile20096092
Q120135573
median20150212
Q320165822
95-th percentile20177420
Maximum20180205
Range98999
Interquartile range (IQR)30248.5

Descriptive statistics

Standard deviation32858.446
Coefficient of variation (CV)0.0016311036
Kurtosis2.0406794
Mean20144916
Median Absolute Deviation (MAD)19387
Skewness-1.288217
Sum1.4101441 × 108
Variance1.0796775 × 109
MonotonicityNot monotonic
2024-05-11T14:48:07.285558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
20081206 1
 
4.0%
20160723 1
 
4.0%
20170920 1
 
4.0%
20180205 1
 
4.0%
20150212 1
 
4.0%
20130825 1
 
4.0%
20140321 1
 
4.0%
(Missing) 18
72.0%
ValueCountFrequency (%)
20081206 1
4.0%
20130825 1
4.0%
20140321 1
4.0%
20150212 1
4.0%
20160723 1
4.0%
20170920 1
4.0%
20180205 1
4.0%
ValueCountFrequency (%)
20180205 1
4.0%
20170920 1
4.0%
20160723 1
4.0%
20150212 1
4.0%
20140321 1
4.0%
20130825 1
4.0%
20081206 1
4.0%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

시설규모
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
24 
21
 
1

Length

Max length4
Median length4
Mean length3.92
Min length2

Unique

Unique1 ?
Unique (%)4.0%

Sample

1st row21
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 24
96.0%
21 1
 
4.0%

Length

2024-05-11T14:48:07.541805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:48:07.681758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
96.0%
21 1
 
4.0%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03080000CDFI226001199600000119960819<NA>3폐업3폐업20090306<NA><NA><NA><NA><NA>142867서울특별시 강북구 번동 446-13번지 1층서울특별시 강북구 도봉로 328 (번동,1층)<NA>(주)림스항공투어2009-03-06 17:49:04I2018-08-31 23:59:59.0<NA>202155.401317459411.940883국내여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>21<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>21
13080000CDFI226001200400000220040728<NA>3폐업3폐업20220530<NA><NA><NA>997-4673<NA>142882서울특별시 강북구 수유동 311-4 1층서울특별시 강북구 삼양로117길 31, 1층 (수유동)1030(주)아스타덤보2022-05-30 17:55:32U2021-12-06 00:04:00.0<NA>201203.29654460153.957798<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23080000CDFI226001200600000120061201<NA>3폐업3폐업20090831<NA><NA><NA><NA><NA>142879서울특별시 강북구 수유동 269-7번지 3층서울특별시 강북구 노해로23길 125 (수유동,3층)<NA>골든투어여행사2009-08-31 15:00:54I2018-08-31 23:59:59.0<NA>201447.478663460569.972568국내여행업관광사업<NA><NA><NA><NA>서울시관광협회장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2007120620081206<NA><NA>
33080000CDFI226001200700000120070514<NA>3폐업3폐업20221012<NA><NA><NA>988-8114<NA>142804서울특별시 강북구 미아동 35-4 트레지오빌딩 1층 24호서울특별시 강북구 도봉로 34 (미아동)1220하나웰여행사2022-10-12 13:10:02U2021-10-30 23:04:00.0<NA>202642.446046456636.308192<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43080000CDFI226001200900000120090807<NA>3폐업3폐업20121212<NA><NA><NA>02-989-9603<NA>142071서울특별시 강북구 수유동 57-50번지서울특별시 강북구 삼양로80길 10 (수유동)<NA>(주)부광코리아2012-12-13 10:49:55I2018-08-31 23:59:59.0<NA>201553.771503458713.951255국내여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20000000<NA><NA><NA><NA>
53080000CDFI226001200900000220081117<NA>3폐업3폐업20160202<NA><NA><NA>996-0565<NA>142703서울특별시 강북구 번동 446-13번지 지하 120호서울특별시 강북구 도봉로 328 (번동)1062두레하나여행사(주)2016-02-26 13:57:58I2018-08-31 23:59:59.0<NA>202155.401317459411.940883국내여행업관광사업<NA><NA><NA><NA>서울보증보험주식회사<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>560000002015072420160723<NA><NA>
63080000CDFI226001201100000220110916<NA>3폐업3폐업20210520<NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 203-5 1층 우측부서울특별시 강북구 도봉로 229, 1층 (미아동)1118태현투어2021-05-21 16:40:41U2021-05-23 02:40:00.0<NA>202118.124196458524.956816국내여행업<NA><NA><NA><NA><NA>서울특별시관광협회<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>300000002016092120170920<NA><NA>
73080000CDFI226001201200000120120117<NA>3폐업3폐업20220215<NA><NA><NA>998-3091<NA>142703서울특별시 강북구 번동 446-13서울특별시 강북구 도봉로 328 (번동)1062(주)애니투어2022-02-16 08:30:29U2022-02-18 02:40:00.0<NA>202155.401317459411.940883국내여행업<NA><NA><NA><NA><NA>한국관광협회중앙회 여행공제회<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>300000002017020520180205<NA><NA>
83080000CDFI226001201200000220120209<NA>1영업/정상13영업중<NA><NA><NA><NA>02-995-4007<NA>142877서울특별시 강북구 수유동 263-7번지서울특별시 강북구 한천로 1127 (수유동)1040(주)세화고속관광2014-02-12 16:22:50I2018-08-31 23:59:59.0<NA>201612.150473460324.03764국내여행업<NA><NA><NA><NA><NA>서울보증보험주식회사<NA>2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>300000002014021320150212<NA><NA>
93080000CDFI226001201200000320090824<NA>3폐업3폐업20130801<NA><NA><NA>02-730-4892<NA>142810서울특별시 강북구 미아동 207-14번지 208호서울특별시 강북구 솔매로45길 30 (미아동)142810(주)제이씨그린투어2013-08-08 18:12:33I2018-08-31 23:59:59.0<NA>202146.713366458342.085286국내여행업<NA><NA><NA><NA><NA>서울보증보험주식회사<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>500000002012082620130825<NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
153080000CDFI22600120170000032017-10-25<NA>3폐업3폐업2023-04-21<NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 42-212 206호서울특별시 강북구 월계로 7 (미아동, 유창빌딩)1220(주)샤론투어2023-04-21 15:44:20U2022-12-03 22:03:00.0<NA>202676.49183456377.651999<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
163080000CDFI226001201900000220190415<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 160-37번지서울특별시 강북구 도봉로 274-1, 2층 C-4호 (미아동)1128참 좋은 기차여행2019-04-15 17:57:32I2019-04-17 02:20:31.0<NA>202030.253406458962.158613국내여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>15000000<NA><NA><NA><NA>
173080000CDFI226001201900000320190708<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 번동 417-6번지 번동포르텔 601호서울특별시 강북구 한천로 1003, 번동포르텔 601호 (번동)1064스트로젤리 컴퍼니2019-07-08 09:49:10I2019-07-10 02:21:55.0<NA>202535.474545459498.749256국내여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>33716109<NA><NA><NA><NA>
183080000CDFI226001201900000420190728<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 번동 433-15서울특별시 강북구 덕릉로 162 (번동)1135(주)인서울여행사2023-01-25 17:08:36U2022-11-30 22:07:00.0<NA>202746.888756459196.151659<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
193080000CDFI226001201900000520190603<NA>3폐업3폐업20220901<NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 304-2 상아빌딩서울특별시 강북구 도봉로 191, 상아빌딩 4층 419호 (미아동)1170(주)아제타2022-09-02 13:14:05U2021-12-09 00:04:00.0<NA>202228.431718458158.105668<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
203080000CDFI22600120200000012020-01-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 472-193 건우빌딩서울특별시 강북구 삼양로 328, 건우빌딩 3층 (수유동)1111(주)더하나투어2023-03-13 10:25:20U2022-12-02 23:05:00.0<NA>201505.406518458926.401527<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
213080000CDFI226001202000000320200518<NA>3폐업3폐업20221115<NA><NA><NA>02-542-7115<NA><NA>서울특별시 강북구 번동 418-3 효성네오인텔리안서울특별시 강북구 도봉로 352, 114호 (번동, 효성네오인텔리안)1063나라여행2022-11-15 17:00:24U2021-10-31 23:07:00.0<NA>202317.064608459590.573498<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
223080000CDFI226001202000000420190607<NA>3폐업3폐업20220908<NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 472-193 건우빌딩서울특별시 강북구 삼양로 328, 건우빌딩 3층 3056호 (수유동)1111힐링투어2022-09-13 10:18:47U2021-12-08 23:05:00.0<NA>201505.406518458926.401527<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
233080000CDFI226001202000000520201201<NA>3폐업3폐업20210420<NA><NA><NA>02-388-1248<NA><NA>서울특별시 강북구 미아동 223-24서울특별시 강북구 도봉로53길 32, 2층 (미아동)1125(주)하나타임투어2021-04-26 09:33:17U2021-04-28 02:40:00.0<NA>202044.198258458256.329249국내여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>136754579<NA><NA><NA><NA>
243080000CDFI22600120210000012021-06-16<NA>5제외/삭제/전출15전출2023-07-20<NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 304-2 상아빌딩서울특별시 강북구 도봉로 191, 상아빌딩 4층 136호 (미아동)1170비와이트래블2023-07-20 14:36:22U2022-12-06 22:02:00.0<NA>202228.431718458158.105668<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>