Overview

Dataset statistics

Number of variables56
Number of observations25
Missing cells713
Missing cells (%)50.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.0 KiB
Average record size in memory492.3 B

Variable types

Categorical16
Text6
DateTime3
Numeric5
Unsupported26

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,총층수,주변환경명,제작취급품목내용,시설면적,지상층수,지하층수,건물용도명,통로너비,조명시설조도,노래방실수,청소년실수,비상계단여부,비상구여부,자동환기여부,청소년실여부,특수조명여부,방음시설여부,비디오재생기명,조명시설유무,음향시설여부,편의시설여부,소방시설여부,총게임기수,기존게임업외업종명,제공게임물명,공연장형태구분명,품목명,최초등록시점,지역구분명
Author노원구
URLhttps://data.seoul.go.kr/dataList/OA-17812/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (75.8%)Imbalance
소재지우편번호 is highly imbalanced (75.8%)Imbalance
데이터갱신구분 is highly imbalanced (59.8%)Imbalance
지상층수 is highly imbalanced (59.6%)Imbalance
폐업일자 has 17 (68.0%) 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 20 (80.0%) missing valuesMissing
소재지면적 has 25 (100.0%) missing valuesMissing
도로명우편번호 has 3 (12.0%) missing valuesMissing
업태구분명 has 25 (100.0%) missing valuesMissing
제작취급품목내용 has 5 (20.0%) missing valuesMissing
시설면적 has 18 (72.0%) missing valuesMissing
통로너비 has 25 (100.0%) missing valuesMissing
조명시설조도 has 25 (100.0%) missing valuesMissing
노래방실수 has 25 (100.0%) missing valuesMissing
청소년실수 has 25 (100.0%) missing valuesMissing
비상계단여부 has 25 (100.0%) missing valuesMissing
비상구여부 has 25 (100.0%) missing valuesMissing
자동환기여부 has 25 (100.0%) missing valuesMissing
청소년실여부 has 25 (100.0%) missing valuesMissing
특수조명여부 has 25 (100.0%) missing valuesMissing
방음시설여부 has 25 (100.0%) missing valuesMissing
비디오재생기명 has 25 (100.0%) missing valuesMissing
조명시설유무 has 25 (100.0%) missing valuesMissing
음향시설여부 has 25 (100.0%) missing valuesMissing
편의시설여부 has 25 (100.0%) missing valuesMissing
소방시설여부 has 25 (100.0%) missing valuesMissing
총게임기수 has 25 (100.0%) missing valuesMissing
기존게임업외업종명 has 25 (100.0%) missing valuesMissing
제공게임물명 has 25 (100.0%) missing valuesMissing
공연장형태구분명 has 25 (100.0%) missing valuesMissing
품목명 has 25 (100.0%) missing valuesMissing
최초등록시점 has 25 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
통로너비 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설조도 is an unsupported type, check if it needs cleaning or further analysisUnsupported
노래방실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총게임기수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 06:59:03.406228
Analysis finished2024-05-11 06:59:04.139129
Duration0.73 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
3100000
25 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3100000
2nd row3100000
3rd row3100000
4th row3100000
5th row3100000

Common Values

ValueCountFrequency (%)
3100000 25
100.0%

Length

2024-05-11T15:59:04.228886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:04.383637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3100000 25
100.0%

관리번호
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-05-11T15:59:04.612364image/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 rowCDFF3241062006000001
2nd rowCDFF3241062007000001
3rd rowCDFF3241062007000002
4th rowCDFF3241062009000001
5th rowCDFF3241062011000001
ValueCountFrequency (%)
cdff3241062006000001 1
 
4.0%
cdff3241062014000001 1
 
4.0%
cdff3241062022000002 1
 
4.0%
cdff3241062022000001 1
 
4.0%
cdff3241062021000002 1
 
4.0%
cdff3241062021000001 1
 
4.0%
cdff3241062020000002 1
 
4.0%
cdff3241062020000001 1
 
4.0%
cdff3241062018000002 1
 
4.0%
cdff3241062018000001 1
 
4.0%
Other values (15) 15
60.0%
2024-05-11T15:59:05.090044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 181
36.2%
2 73
14.6%
1 56
 
11.2%
F 50
 
10.0%
4 28
 
5.6%
3 27
 
5.4%
6 27
 
5.4%
C 25
 
5.0%
D 25
 
5.0%
7 4
 
0.8%
Other values (3) 4
 
0.8%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 181
45.2%
2 73
18.2%
1 56
 
14.0%
4 28
 
7.0%
3 27
 
6.8%
6 27
 
6.8%
7 4
 
1.0%
8 2
 
0.5%
9 1
 
0.2%
5 1
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
F 50
50.0%
C 25
25.0%
D 25
25.0%

Most occurring scripts

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

Most frequent character per script

Common
ValueCountFrequency (%)
0 181
45.2%
2 73
18.2%
1 56
 
14.0%
4 28
 
7.0%
3 27
 
6.8%
6 27
 
6.8%
7 4
 
1.0%
8 2
 
0.5%
9 1
 
0.2%
5 1
 
0.2%
Latin
ValueCountFrequency (%)
F 50
50.0%
C 25
25.0%
D 25
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 500
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 181
36.2%
2 73
14.6%
1 56
 
11.2%
F 50
 
10.0%
4 28
 
5.6%
3 27
 
5.4%
6 27
 
5.4%
C 25
 
5.0%
D 25
 
5.0%
7 4
 
0.8%
Other values (3) 4
 
0.8%

인허가일자
Date

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum2004-08-04 00:00:00
Maximum2022-08-16 00:00:00
2024-05-11T15:59:05.267845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:59:05.402203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
24 
20140711
 
1

Length

Max length8
Median length4
Mean length4.16
Min length4

Unique

Unique1 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 24
96.0%
20140711 1
 
4.0%

Length

2024-05-11T15:59:05.572718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:05.693943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
96.0%
20140711 1
 
4.0%

영업상태코드
Categorical

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
1
16 
3
8 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 16
64.0%
3 8
32.0%
4 1
 
4.0%

Length

2024-05-11T15:59:05.866461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:06.028276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 16
64.0%
3 8
32.0%
4 1
 
4.0%

영업상태명
Categorical

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
영업/정상
16 
폐업
8 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length4.4
Min length2

Unique

Unique1 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 16
64.0%
폐업 8
32.0%
취소/말소/만료/정지/중지 1
 
4.0%

Length

2024-05-11T15:59:06.187714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:06.331708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 16
64.0%
폐업 8
32.0%
취소/말소/만료/정지/중지 1
 
4.0%

상세영업상태코드
Categorical

Distinct4
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
13
16 
3
7 
32
 
1
34
 
1

Length

Max length2
Median length2
Mean length1.72
Min length1

Unique

Unique2 ?
Unique (%)8.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 16
64.0%
3 7
28.0%
32 1
 
4.0%
34 1
 
4.0%

Length

2024-05-11T15:59:06.482549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:06.642207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 16
64.0%
3 7
28.0%
32 1
 
4.0%
34 1
 
4.0%

상세영업상태명
Categorical

Distinct4
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
영업중
16 
폐업
7 
신고취소
 
1
영업장폐쇄
 
1

Length

Max length5
Median length3
Mean length2.84
Min length2

Unique

Unique2 ?
Unique (%)8.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 16
64.0%
폐업 7
28.0%
신고취소 1
 
4.0%
영업장폐쇄 1
 
4.0%

Length

2024-05-11T15:59:06.791893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:06.941060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 16
64.0%
폐업 7
28.0%
신고취소 1
 
4.0%
영업장폐쇄 1
 
4.0%

폐업일자
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing17
Missing (%)68.0%
Infinite0
Infinite (%)0.0%
Mean20128260
Minimum20090521
Maximum20170525
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-05-11T15:59:07.070770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090521
5-th percentile20090559
Q120105620
median20130970
Q320150769
95-th percentile20163771
Maximum20170525
Range80004
Interquartile range (IQR)45149

Descriptive statistics

Standard deviation29227.944
Coefficient of variation (CV)0.001452085
Kurtosis-1.2121867
Mean20128260
Median Absolute Deviation (MAD)20306
Skewness-0.10442549
Sum1.6102608 × 108
Variance8.542727 × 108
MonotonicityNot monotonic
2024-05-11T15:59:07.246793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
20090521 1
 
4.0%
20090630 1
 
4.0%
20110617 1
 
4.0%
20150616 1
 
4.0%
20130916 1
 
4.0%
20131023 1
 
4.0%
20151229 1
 
4.0%
20170525 1
 
4.0%
(Missing) 17
68.0%
ValueCountFrequency (%)
20090521 1
4.0%
20090630 1
4.0%
20110617 1
4.0%
20130916 1
4.0%
20131023 1
4.0%
20150616 1
4.0%
20151229 1
4.0%
20170525 1
4.0%
ValueCountFrequency (%)
20170525 1
4.0%
20151229 1
4.0%
20150616 1
4.0%
20131023 1
4.0%
20130916 1
4.0%
20110617 1
4.0%
20090630 1
4.0%
20090521 1
4.0%

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 

Distinct5
Distinct (%)100.0%
Missing20
Missing (%)80.0%
Memory size332.0 B
2024-05-11T15:59:07.475411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length10.2
Min length8

Characters and Unicode

Total characters51
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

Unique5 ?
Unique (%)100.0%

Sample

1st row936-0602
2nd row02-931-7827
3rd row971-2156
4th row070-4318-8755
5th row02-932-7903
ValueCountFrequency (%)
936-0602 1
20.0%
02-931-7827 1
20.0%
971-2156 1
20.0%
070-4318-8755 1
20.0%
02-932-7903 1
20.0%
2024-05-11T15:59:07.893709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 8
15.7%
0 7
13.7%
2 6
11.8%
7 6
11.8%
9 5
9.8%
3 5
9.8%
1 4
7.8%
6 3
 
5.9%
8 3
 
5.9%
5 3
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 43
84.3%
Dash Punctuation 8
 
15.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7
16.3%
2 6
14.0%
7 6
14.0%
9 5
11.6%
3 5
11.6%
1 4
9.3%
6 3
7.0%
8 3
7.0%
5 3
7.0%
4 1
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 51
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 8
15.7%
0 7
13.7%
2 6
11.8%
7 6
11.8%
9 5
9.8%
3 5
9.8%
1 4
7.8%
6 3
 
5.9%
8 3
 
5.9%
5 3
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 51
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 8
15.7%
0 7
13.7%
2 6
11.8%
7 6
11.8%
9 5
9.8%
3 5
9.8%
1 4
7.8%
6 3
 
5.9%
8 3
 
5.9%
5 3
 
5.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

소재지우편번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
24 
139816
 
1

Length

Max length6
Median length4
Mean length4.08
Min length4

Unique

Unique1 ?
Unique (%)4.0%

Sample

1st row139816
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 24
96.0%
139816 1
 
4.0%

Length

2024-05-11T15:59:08.130059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:08.343565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
96.0%
139816 1
 
4.0%

지번주소
Text

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-05-11T15:59:08.584816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length35
Mean length30.52
Min length22

Characters and Unicode

Total characters763
Distinct characters55
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

Unique23 ?
Unique (%)92.0%

Sample

1st row서울특별시 노원구 상계동 ***-*번지 유신빌딩 지층
2nd row서울특별시 노원구 월계동 ***번지 월계*단지 주공아파트 ***동 ***호
3rd row서울특별시 노원구 상계동 ***-*번지 벽산아파트 ***동 ***호
4th row서울특별시 노원구 공릉동 ***번지 한보아파트 ***동 ****호
5th row서울특별시 노원구 상계동 ****번지 노원아이파크 ***호호
ValueCountFrequency (%)
서울특별시 25
17.4%
노원구 25
17.4%
번지 18
12.5%
호 12
8.3%
상계동 11
7.6%
동 9
 
6.2%
7
 
4.9%
공릉동 7
 
4.9%
월계동 4
 
2.8%
중계동 3
 
2.1%
Other values (19) 23
16.0%
2024-05-11T15:59:09.068954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 177
23.2%
128
16.8%
동 35
 
4.6%
노 26
 
3.4%
원 26
 
3.4%
지 26
 
3.4%
서 25
 
3.3%
특 25
 
3.3%
별 25
 
3.3%
시 25
 
3.3%
Other values (45) 245
32.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 441
57.8%
Other Punctuation 177
23.2%
Space Separator 128
 
16.8%
Dash Punctuation 17
 
2.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 35
 
7.9%
노 26
 
5.9%
원 26
 
5.9%
지 26
 
5.9%
서 25
 
5.7%
특 25
 
5.7%
별 25
 
5.7%
시 25
 
5.7%
구 25
 
5.7%
울 25
 
5.7%
Other values (42) 178
40.4%
Other Punctuation
ValueCountFrequency (%)
* 177
100.0%
Space Separator
ValueCountFrequency (%)
128
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 441
57.8%
Common 322
42.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 35
 
7.9%
노 26
 
5.9%
원 26
 
5.9%
지 26
 
5.9%
서 25
 
5.7%
특 25
 
5.7%
별 25
 
5.7%
시 25
 
5.7%
구 25
 
5.7%
울 25
 
5.7%
Other values (42) 178
40.4%
Common
ValueCountFrequency (%)
* 177
55.0%
128
39.8%
- 17
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 441
57.8%
ASCII 322
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 177
55.0%
128
39.8%
- 17
 
5.3%
Hangul
ValueCountFrequency (%)
동 35
 
7.9%
노 26
 
5.9%
원 26
 
5.9%
지 26
 
5.9%
서 25
 
5.7%
특 25
 
5.7%
별 25
 
5.7%
시 25
 
5.7%
구 25
 
5.7%
울 25
 
5.7%
Other values (42) 178
40.4%

도로명주소
Text

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-05-11T15:59:09.365792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length40
Mean length36.16
Min length24

Characters and Unicode

Total characters904
Distinct characters72
Distinct categories6 ?
Distinct scripts2 ?
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 노원구 상계로**길 ** (상계동,유신빌딩 지층)
2nd row서울특별시 노원구 초안산로*길 **, ***동 ***호 (월계동, 월계주공*단지아파트)
3rd row서울특별시 노원구 한글비석로 ***, ***동 ***호 (상계동, 벽산아파트)
4th row서울특별시 노원구 공릉로 ***, ***동 ****호 (공릉동,한보아파트)
5th row서울특별시 노원구 상계로**다길 **-*, ***호 (상계동, 노원아이파크)
ValueCountFrequency (%)
서울특별시 25
15.1%
25
15.1%
노원구 25
15.1%
호 12
 
7.2%
상계동 10
 
6.0%
동 8
 
4.8%
공릉동 6
 
3.6%
월계동 4
 
2.4%
동일로***길 4
 
2.4%
중계동 3
 
1.8%
Other values (35) 44
26.5%
2024-05-11T15:59:09.961056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 164
18.1%
142
 
15.7%
동 41
 
4.5%
, 31
 
3.4%
노 27
 
3.0%
원 26
 
2.9%
울 25
 
2.8%
) 25
 
2.8%
( 25
 
2.8%
로 25
 
2.8%
Other values (62) 373
41.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 514
56.9%
Other Punctuation 195
 
21.6%
Space Separator 142
 
15.7%
Close Punctuation 25
 
2.8%
Open Punctuation 25
 
2.8%
Dash Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 41
 
8.0%
노 27
 
5.3%
원 26
 
5.1%
울 25
 
4.9%
로 25
 
4.9%
서 25
 
4.9%
구 25
 
4.9%
시 25
 
4.9%
별 25
 
4.9%
특 25
 
4.9%
Other values (56) 245
47.7%
Other Punctuation
ValueCountFrequency (%)
* 164
84.1%
, 31
 
15.9%
Space Separator
ValueCountFrequency (%)
142
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 514
56.9%
Common 390
43.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 41
 
8.0%
노 27
 
5.3%
원 26
 
5.1%
울 25
 
4.9%
로 25
 
4.9%
서 25
 
4.9%
구 25
 
4.9%
시 25
 
4.9%
별 25
 
4.9%
특 25
 
4.9%
Other values (56) 245
47.7%
Common
ValueCountFrequency (%)
* 164
42.1%
142
36.4%
, 31
 
7.9%
) 25
 
6.4%
( 25
 
6.4%
- 3
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 514
56.9%
ASCII 390
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 164
42.1%
142
36.4%
, 31
 
7.9%
) 25
 
6.4%
( 25
 
6.4%
- 3
 
0.8%
Hangul
ValueCountFrequency (%)
동 41
 
8.0%
노 27
 
5.3%
원 26
 
5.1%
울 25
 
4.9%
로 25
 
4.9%
서 25
 
4.9%
구 25
 
4.9%
시 25
 
4.9%
별 25
 
4.9%
특 25
 
4.9%
Other values (56) 245
47.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)100.0%
Missing3
Missing (%)12.0%
Infinite0
Infinite (%)0.0%
Mean26833.818
Minimum1609
Maximum139856
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-05-11T15:59:10.135736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1609
5-th percentile1620.9
Q11669
median1840.5
Q31881.25
95-th percentile139798.35
Maximum139856
Range138247
Interquartile range (IQR)212.25

Descriptive statistics

Standard deviation54434.618
Coefficient of variation (CV)2.0285827
Kurtosis1.2496479
Mean26833.818
Median Absolute Deviation (MAD)152
Skewness1.7731858
Sum590344
Variance2.9631277 × 109
MonotonicityNot monotonic
2024-05-11T15:59:10.321899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1849 1
 
4.0%
1619 1
 
4.0%
1879 1
 
4.0%
1913 1
 
4.0%
1662 1
 
4.0%
1663 1
 
4.0%
1840 1
 
4.0%
1693 1
 
4.0%
1841 1
 
4.0%
1868 1
 
4.0%
Other values (12) 12
48.0%
(Missing) 3
 
12.0%
ValueCountFrequency (%)
1609 1
4.0%
1619 1
4.0%
1657 1
4.0%
1662 1
4.0%
1663 1
4.0%
1664 1
4.0%
1684 1
4.0%
1693 1
4.0%
1760 1
4.0%
1803 1
4.0%
ValueCountFrequency (%)
139856 1
4.0%
139801 1
4.0%
139748 1
4.0%
139202 1
4.0%
1913 1
4.0%
1882 1
4.0%
1879 1
4.0%
1868 1
4.0%
1851 1
4.0%
1849 1
4.0%

사업장명
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-05-11T15:59:10.671204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length10
Mean length8.36
Min length3

Characters and Unicode

Total characters209
Distinct characters99
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row브이스타
2nd row미그린
3rd row소리나라
4th row에이플 엔터테인먼트
5th row(주)송브라더스
ValueCountFrequency (%)
엔터테인먼트 3
 
7.0%
노래 2
 
4.7%
미디어 2
 
4.7%
기획 2
 
4.7%
브이스타 1
 
2.3%
청춘노래뮤비방 1
 
2.3%
와라 1
 
2.3%
뮤직영상제작실 1
 
2.3%
우정노래영상제작실 1
 
2.3%
두드림 1
 
2.3%
Other values (28) 28
65.1%
2024-05-11T15:59:11.567612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18
 
8.6%
스 7
 
3.3%
이 6
 
2.9%
래 5
 
2.4%
노 5
 
2.4%
엔 5
 
2.4%
실 4
 
1.9%
디 4
 
1.9%
) 4
 
1.9%
트 4
 
1.9%
Other values (89) 147
70.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 162
77.5%
Uppercase Letter 20
 
9.6%
Space Separator 18
 
8.6%
Close Punctuation 4
 
1.9%
Open Punctuation 4
 
1.9%
Decimal Number 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 7
 
4.3%
이 6
 
3.7%
래 5
 
3.1%
노 5
 
3.1%
엔 5
 
3.1%
실 4
 
2.5%
디 4
 
2.5%
트 4
 
2.5%
에 3
 
1.9%
획 3
 
1.9%
Other values (74) 116
71.6%
Uppercase Letter
ValueCountFrequency (%)
E 3
15.0%
H 3
15.0%
N 2
10.0%
U 2
10.0%
T 2
10.0%
I 2
10.0%
R 2
10.0%
Z 1
 
5.0%
S 1
 
5.0%
D 1
 
5.0%
Space Separator
ValueCountFrequency (%)
18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Decimal Number
ValueCountFrequency (%)
8 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 162
77.5%
Common 27
 
12.9%
Latin 20
 
9.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 7
 
4.3%
이 6
 
3.7%
래 5
 
3.1%
노 5
 
3.1%
엔 5
 
3.1%
실 4
 
2.5%
디 4
 
2.5%
트 4
 
2.5%
에 3
 
1.9%
획 3
 
1.9%
Other values (74) 116
71.6%
Latin
ValueCountFrequency (%)
E 3
15.0%
H 3
15.0%
N 2
10.0%
U 2
10.0%
T 2
10.0%
I 2
10.0%
R 2
10.0%
Z 1
 
5.0%
S 1
 
5.0%
D 1
 
5.0%
Common
ValueCountFrequency (%)
18
66.7%
) 4
 
14.8%
( 4
 
14.8%
8 1
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 162
77.5%
ASCII 47
 
22.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18
38.3%
) 4
 
8.5%
( 4
 
8.5%
E 3
 
6.4%
H 3
 
6.4%
N 2
 
4.3%
U 2
 
4.3%
T 2
 
4.3%
I 2
 
4.3%
R 2
 
4.3%
Other values (5) 5
 
10.6%
Hangul
ValueCountFrequency (%)
스 7
 
4.3%
이 6
 
3.7%
래 5
 
3.1%
노 5
 
3.1%
엔 5
 
3.1%
실 4
 
2.5%
디 4
 
2.5%
트 4
 
2.5%
에 3
 
1.9%
획 3
 
1.9%
Other values (74) 116
71.6%

최종수정일자
Date

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum2009-05-21 11:59:01
Maximum2024-01-30 15:53:27
2024-05-11T15:59:11.784648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:59:11.962781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
I
23 
U
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 23
92.0%
U 2
 
8.0%

Length

2024-05-11T15:59:12.169224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:12.340697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 23
92.0%
u 2
 
8.0%

데이터갱신일자
Date

Distinct9
Distinct (%)36.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-02 00:01:00
2024-05-11T15:59:12.485122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:59:12.669506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

좌표정보(X)
Real number (ℝ)

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean205900.97
Minimum204463.45
Maximum207019.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-05-11T15:59:12.920488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum204463.45
5-th percentile204578.71
Q1205362.55
median206155.72
Q3206401.78
95-th percentile206877.15
Maximum207019.73
Range2556.2738
Interquartile range (IQR)1039.2336

Descriptive statistics

Standard deviation781.63786
Coefficient of variation (CV)0.0037961834
Kurtosis-0.78125045
Mean205900.97
Median Absolute Deviation (MAD)391.70631
Skewness-0.64916806
Sum5147524.3
Variance610957.75
MonotonicityNot monotonic
2024-05-11T15:59:13.205076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
206356.052509483 2
 
8.0%
206179.721259442 1
 
4.0%
206155.723659224 1
 
4.0%
204575.924275251 1
 
4.0%
205026.982404976 1
 
4.0%
205984.15211292 1
 
4.0%
206524.010995752 1
 
4.0%
206401.782045923 1
 
4.0%
205362.548487416 1
 
4.0%
206659.512758346 1
 
4.0%
Other values (14) 14
56.0%
ValueCountFrequency (%)
204463.453552983 1
4.0%
204575.924275251 1
4.0%
204589.830805772 1
4.0%
204635.337833145 1
4.0%
204944.543398609 1
4.0%
205026.982404976 1
4.0%
205362.548487416 1
4.0%
205691.863260746 1
4.0%
205764.01735032 1
4.0%
205984.15211292 1
4.0%
ValueCountFrequency (%)
207019.727340232 1
4.0%
206895.969470534 1
4.0%
206801.874265425 1
4.0%
206659.512758346 1
4.0%
206524.010995752 1
4.0%
206443.332258706 1
4.0%
206401.782045923 1
4.0%
206356.052509483 2
8.0%
206336.809446667 1
4.0%
206262.781154106 1
4.0%

좌표정보(Y)
Real number (ℝ)

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean460443.37
Minimum457275.8
Maximum463692.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-05-11T15:59:13.414839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum457275.8
5-th percentile457431.48
Q1458420.68
median461525.05
Q3462123.01
95-th percentile463470.49
Maximum463692.1
Range6416.3035
Interquartile range (IQR)3702.3278

Descriptive statistics

Standard deviation2131.9201
Coefficient of variation (CV)0.0046301461
Kurtosis-1.6070021
Mean460443.37
Median Absolute Deviation (MAD)2151.4356
Skewness-0.1067202
Sum11511084
Variance4545083.2
MonotonicityNot monotonic
2024-05-11T15:59:13.664224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
462123.008334776 2
 
8.0%
461730.955043154 1
 
4.0%
462646.489637075 1
 
4.0%
462580.526886982 1
 
4.0%
458761.394252425 1
 
4.0%
457275.799282625 1
 
4.0%
461997.425235484 1
 
4.0%
458210.001926975 1
 
4.0%
461819.801185637 1
 
4.0%
458320.518280138 1
 
4.0%
Other values (14) 14
56.0%
ValueCountFrequency (%)
457275.799282625 1
4.0%
457427.397848965 1
4.0%
457447.793737463 1
4.0%
458210.001926975 1
4.0%
458320.518280138 1
4.0%
458418.229301355 1
4.0%
458420.680573706 1
4.0%
458494.784277361 1
4.0%
458660.029586138 1
4.0%
458761.394252425 1
4.0%
ValueCountFrequency (%)
463692.102817463 1
4.0%
463676.487461111 1
4.0%
462646.489637075 1
4.0%
462580.526886982 1
4.0%
462363.64132245 1
4.0%
462123.008334776 2
8.0%
461997.425235484 1
4.0%
461935.33920381 1
4.0%
461934.867348631 1
4.0%
461819.801185637 1
4.0%

문화체육업종명
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
음반.음악영상물제작업
21 
<NA>
4 

Length

Max length11
Median length11
Mean length9.88
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row음반.음악영상물제작업
2nd row음반.음악영상물제작업
3rd row음반.음악영상물제작업
4th row음반.음악영상물제작업
5th row음반.음악영상물제작업

Common Values

ValueCountFrequency (%)
음반.음악영상물제작업 21
84.0%
<NA> 4
 
16.0%

Length

2024-05-11T15:59:13.899773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:14.073402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음반.음악영상물제작업 21
84.0%
na 4
 
16.0%

문화사업자구분명
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
유통관련업
21 
<NA>
4 

Length

Max length5
Median length5
Mean length4.84
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 21
84.0%
<NA> 4
 
16.0%

Length

2024-05-11T15:59:14.239356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:14.430261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 21
84.0%
na 4
 
16.0%

총층수
Categorical

Distinct5
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
19 
5
3 
4
 
1
6
 
1
15
 
1

Length

Max length4
Median length4
Mean length3.32
Min length1

Unique

Unique3 ?
Unique (%)12.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 19
76.0%
5 3
 
12.0%
4 1
 
4.0%
6 1
 
4.0%
15 1
 
4.0%

Length

2024-05-11T15:59:14.613756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:14.802321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
76.0%
5 3
 
12.0%
4 1
 
4.0%
6 1
 
4.0%
15 1
 
4.0%

주변환경명
Categorical

Distinct5
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
15 
주택가주변
5 
아파트지역
2 
기타
2 
유흥업소밀집지역
 
1

Length

Max length8
Median length4
Mean length4.28
Min length2

Unique

Unique1 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 15
60.0%
주택가주변 5
 
20.0%
아파트지역 2
 
8.0%
기타 2
 
8.0%
유흥업소밀집지역 1
 
4.0%

Length

2024-05-11T15:59:14.975606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:15.246171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 15
60.0%
주택가주변 5
 
20.0%
아파트지역 2
 
8.0%
기타 2
 
8.0%
유흥업소밀집지역 1
 
4.0%

제작취급품목내용
Text

MISSING 

Distinct16
Distinct (%)80.0%
Missing5
Missing (%)20.0%
Memory size332.0 B
2024-05-11T15:59:15.569590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length12
Mean length8.6
Min length2

Characters and Unicode

Total characters172
Distinct characters40
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)70.0%

Sample

1st row음반
2nd row음반
3rd row음악영상물
4th row음반
5th row음반제작
ValueCountFrequency (%)
음반 7
21.9%
제작 2
 
6.2%
뮤직비디오 2
 
6.2%
음악영상물 2
 
6.2%
음반제작 2
 
6.2%
sd카드 1
 
3.1%
배경음악 1
 
3.1%
음원 1
 
3.1%
기획 1
 
3.1%
음반음악영상물제작업 1
 
3.1%
Other values (12) 12
37.5%
2024-05-11T15:59:16.161189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
음 26
15.1%
반 17
 
9.9%
영 13
 
7.6%
상 13
 
7.6%
12
 
7.0%
제 10
 
5.8%
작 10
 
5.8%
, 9
 
5.2%
악 8
 
4.7%
물 7
 
4.1%
Other values (30) 47
27.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 147
85.5%
Space Separator 12
 
7.0%
Other Punctuation 11
 
6.4%
Uppercase Letter 2
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
음 26
17.7%
반 17
11.6%
영 13
 
8.8%
상 13
 
8.8%
제 10
 
6.8%
작 10
 
6.8%
악 8
 
5.4%
물 7
 
4.8%
기 5
 
3.4%
획 5
 
3.4%
Other values (25) 33
22.4%
Other Punctuation
ValueCountFrequency (%)
, 9
81.8%
. 2
 
18.2%
Uppercase Letter
ValueCountFrequency (%)
D 1
50.0%
S 1
50.0%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 147
85.5%
Common 23
 
13.4%
Latin 2
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
음 26
17.7%
반 17
11.6%
영 13
 
8.8%
상 13
 
8.8%
제 10
 
6.8%
작 10
 
6.8%
악 8
 
5.4%
물 7
 
4.8%
기 5
 
3.4%
획 5
 
3.4%
Other values (25) 33
22.4%
Common
ValueCountFrequency (%)
12
52.2%
, 9
39.1%
. 2
 
8.7%
Latin
ValueCountFrequency (%)
D 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 147
85.5%
ASCII 25
 
14.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
음 26
17.7%
반 17
11.6%
영 13
 
8.8%
상 13
 
8.8%
제 10
 
6.8%
작 10
 
6.8%
악 8
 
5.4%
물 7
 
4.8%
기 5
 
3.4%
획 5
 
3.4%
Other values (25) 33
22.4%
ASCII
ValueCountFrequency (%)
12
48.0%
, 9
36.0%
. 2
 
8.0%
D 1
 
4.0%
S 1
 
4.0%

시설면적
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing18
Missing (%)72.0%
Infinite0
Infinite (%)0.0%
Mean97.665714
Minimum18
Maximum170.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-05-11T15:59:16.376204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile28.95
Q168.39
median84.96
Q3136.805
95-th percentile168.717
Maximum170.31
Range152.31
Interquartile range (IQR)68.415

Descriptive statistics

Standard deviation55.586173
Coefficient of variation (CV)0.56914726
Kurtosis-0.8905865
Mean97.665714
Median Absolute Deviation (MAD)30.46
Skewness0.13344321
Sum683.66
Variance3089.8227
MonotonicityNot monotonic
2024-05-11T15:59:16.566321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
82.28 1
 
4.0%
54.5 1
 
4.0%
108.61 1
 
4.0%
170.31 1
 
4.0%
165.0 1
 
4.0%
84.96 1
 
4.0%
18.0 1
 
4.0%
(Missing) 18
72.0%
ValueCountFrequency (%)
18.0 1
4.0%
54.5 1
4.0%
82.28 1
4.0%
84.96 1
4.0%
108.61 1
4.0%
165.0 1
4.0%
170.31 1
4.0%
ValueCountFrequency (%)
170.31 1
4.0%
165.0 1
4.0%
108.61 1
4.0%
84.96 1
4.0%
82.28 1
4.0%
54.5 1
4.0%
18.0 1
4.0%

지상층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
22 
2
 
2
13
 
1

Length

Max length4
Median length4
Mean length3.68
Min length1

Unique

Unique1 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 22
88.0%
2 2
 
8.0%
13 1
 
4.0%

Length

2024-05-11T15:59:16.769622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:16.933199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
88.0%
2 2
 
8.0%
13 1
 
4.0%

지하층수
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
21 
1
4 

Length

Max length4
Median length4
Mean length3.52
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
84.0%
1 4
 
16.0%

Length

2024-05-11T15:59:17.093338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:17.248644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
84.0%
1 4
 
16.0%

건물용도명
Categorical

Distinct6
Distinct (%)24.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
13 
근린생활시설
5 
아파트
4 
사무실
 
1
단독주택
 
1

Length

Max length6
Median length4
Mean length4.24
Min length3

Unique

Unique3 ?
Unique (%)12.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 13
52.0%
근린생활시설 5
 
20.0%
아파트 4
 
16.0%
사무실 1
 
4.0%
단독주택 1
 
4.0%
다세대주택 1
 
4.0%

Length

2024-05-11T15:59:17.479577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:17.683376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 13
52.0%
근린생활시설 5
 
20.0%
아파트 4
 
16.0%
사무실 1
 
4.0%
단독주택 1
 
4.0%
다세대주택 1
 
4.0%

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

총게임기수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

지역구분명
Categorical

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
13 
일반주거지역
8 
주거지역
4 

Length

Max length6
Median length4
Mean length4.64
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 13
52.0%
일반주거지역 8
32.0%
주거지역 4
 
16.0%

Length

2024-05-11T15:59:17.962882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:18.205528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 13
52.0%
일반주거지역 8
32.0%
주거지역 4
 
16.0%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03100000CDFF324106200600000120061108<NA>3폐업3폐업20090521<NA><NA><NA>936-0602<NA>139816서울특별시 노원구 상계동 ***-*번지 유신빌딩 지층서울특별시 노원구 상계로**길 ** (상계동,유신빌딩 지층)<NA>브이스타2009-05-21 11:59:01I2018-08-31 23:59:59.0<NA>206179.721259461730.955043음반.음악영상물제작업유통관련업<NA><NA>음반<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13100000CDFF324106200700000120070329<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 월계동 ***번지 월계*단지 주공아파트 ***동 ***호서울특별시 노원구 초안산로*길 **, ***동 ***호 (월계동, 월계주공*단지아파트)1882미그린2015-08-07 14:58:17I2018-08-31 23:59:59.0<NA>204589.830806458420.680574음반.음악영상물제작업유통관련업<NA><NA>음반<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23100000CDFF324106200700000220071120<NA>3폐업3폐업20090630<NA><NA><NA>02-931-7827<NA><NA>서울특별시 노원구 상계동 ***-*번지 벽산아파트 ***동 ***호서울특별시 노원구 한글비석로 ***, ***동 ***호 (상계동, 벽산아파트)139748소리나라2013-12-11 14:28:02I2018-08-31 23:59:59.0<NA>206356.052509462123.008335음반.음악영상물제작업유통관련업<NA>아파트지역음악영상물<NA><NA><NA>아파트<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>주거지역
33100000CDFF324106200900000120090811<NA>3폐업3폐업20110617<NA><NA><NA>971-2156<NA><NA>서울특별시 노원구 공릉동 ***번지 한보아파트 ***동 ****호서울특별시 노원구 공릉로 ***, ***동 ****호 (공릉동,한보아파트)<NA>에이플 엔터테인먼트2013-12-11 14:29:24I2018-08-31 23:59:59.0<NA>207019.72734458418.229301음반.음악영상물제작업유통관련업<NA><NA>음반<NA><NA><NA>아파트<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
43100000CDFF324106201100000120040804<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 ****번지 노원아이파크 ***호호서울특별시 노원구 상계로**다길 **-*, ***호 (상계동, 노원아이파크)1684(주)송브라더스2015-08-07 14:59:08I2018-08-31 23:59:59.0<NA>206033.023278461935.339204음반.음악영상물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53100000CDFF324106201100000220110727<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 ****-**번지서울특별시 노원구 동일로***나길 ** (상계동)1609샘 미디어2020-02-14 14:17:02U2020-02-16 02:40:00.0<NA>204635.337833463676.487461음반.음악영상물제작업유통관련업4주택가주변음반제작82.282<NA>사무실<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
63100000CDFF324106201200000120120207<NA>1영업/정상13영업중<NA><NA><NA><NA>070-4318-8755<NA><NA>서울특별시 노원구 상계동 ***-**번지 지층서울특별시 노원구 한글비석로**라길 **-* (상계동)1664페익스 오프 레코드2015-08-07 18:24:31I2018-08-31 23:59:59.0<NA>206336.809447462363.641322음반.음악영상물제작업유통관련업5주택가주변음반제작54.5<NA>1단독주택<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
73100000CDFF324106201200000220120306201407114취소/말소/만료/정지/중지32신고취소<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 중계동 ***-**번지 지하서울특별시 노원구 한글비석로**길 ** (중계동)139856탑 노래 기획2014-07-11 10:50:40I2018-08-31 23:59:59.0<NA>206443.332259461934.867349음반.음악영상물제작업유통관련업5기타음반영상,음반기획108.61<NA>1근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
83100000CDFF324106201200000320120404<NA>3폐업3폐업20150616<NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 ****-**번지서울특별시 노원구 동일로***길 ** (상계동)<NA>팝콘 노래 기획2015-06-16 11:14:28I2018-08-31 23:59:59.0<NA>204944.543399463692.102817음반.음악영상물제작업유통관련업5주택가주변음반영상.음반기획170.31<NA>1근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
93100000CDFF324106201200000420120501<NA>3폐업34영업장폐쇄20130916<NA><NA><NA><NA><NA><NA>서울특별시 노원구 공릉동 ***-*번지서울특별시 노원구 동일로 **** (공릉동)139801파우기획2013-09-25 13:43:39I2018-08-31 23:59:59.0<NA>206262.781154458494.784277음반.음악영상물제작업유통관련업<NA>주택가주변음악영상.음반기획<NA>2<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
153100000CDFF324106201700000220170419<NA>3폐업3폐업20170525<NA><NA><NA><NA><NA><NA>서울특별시 노원구 공릉동 ***-**번지 지하호서울특별시 노원구 공릉로 ***, 지하층 (공릉동, 경동상가)1849청춘노래뮤비방2017-10-30 11:05:13I2018-08-31 23:59:59.0<NA>206801.874265457447.793737음반.음악영상물제작업유통관련업<NA><NA>노래영상물제작, 음악영상파일, SD카드<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
163100000CDFF324106201800000120180206<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 월계동 ***번지 대우아파트상가동 *호서울특별시 노원구 초안산로*길 **, *층 *호 (월계동, 대우아파트)1868와라 뮤직영상제작실2018-02-06 18:02:45I2018-08-31 23:59:59.0<NA>204463.453553458982.560084음반.음악영상물제작업유통관련업<NA><NA>음반영상 뮤직비디오 제작<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
173100000CDFF324106201800000220180629<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 공릉동 ***-*번지 화랑빌딩서울특별시 노원구 동일로***길 **, 화랑빌딩 (공릉동)1841우정노래영상제작실2018-06-29 11:49:03I2018-08-31 23:59:59.0<NA>206659.512758458320.51828음반.음악영상물제작업유통관련업<NA><NA>음반음악영상물제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
183100000CDFF324106202000000120200902<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 ***-***서울특별시 노원구 상계로*길 **, 지층 (상계동)1693두드림 음악 연습실2020-09-02 11:59:27I2020-09-04 00:23:13.0<NA>205362.548487461819.801186음반.음악영상물제작업유통관련업<NA><NA>음반 기획<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
193100000CDFF32410620200000022020-10-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 공릉동 ***-* 지층서울특별시 노원구 동일로***길 *, 지층 (공릉동)1840정든 노래뮤비방2023-02-01 13:37:51U2022-12-02 00:03:00.0<NA>206401.782046458210.001927<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
203100000CDFF324106202100000120210125<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 ***-* 벽산아파트 ***동 ***호서울특별시 노원구 한글비석로 ***, ***동 ***호 (상계동, 벽산아파트)1663포아티스트2021-01-25 17:29:17I2021-01-27 00:23:03.0<NA>206356.052509462123.008335음반.음악영상물제작업유통관련업<NA><NA>음반, 음원, 배경음악<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
213100000CDFF324106202100000220210422<NA>1영업/정상13영업중<NA><NA><NA><NA>02-932-7903<NA><NA>서울특별시 노원구 중계동 ***-** 에이스빌딩 ***호서울특별시 노원구 덕릉로**길 **-*, 에이스빌딩 ***호 (중계동)1662(주)나빅스2021-04-22 13:33:40I2021-04-24 00:22:57.0<NA>206524.010996461997.425235음반.음악영상물제작업유통관련업<NA><NA>음반, 음악영상물 제작18.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
223100000CDFF324106202200000120220718<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 월계동 ** 그랑빌아파트 ***동 ***호서울특별시 노원구 마들로 **, ***동 ***호 (월계동, 그랑빌아파트)1913마이올 엔터테인먼트2022-07-18 14:14:15I2021-12-06 22:00:00.0<NA>205984.152113457275.799283<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
233100000CDFF324106202200000220220816<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 월계동 *** 월계센트럴아이파크아파트 ***동 ****호서울특별시 노원구 초안산로*라길 **, ***동 ****호 (월계동, 월계센트럴아이파크아파트)1879주식회사 마이씨엔2022-08-16 11:00:54I2021-12-07 23:08:00.0<NA>205026.982405458761.394252<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
243100000CDFF32410620240000012015-07-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 *** 상계주공**단지아파트 ****동 ****호서울특별시 노원구 동일로***길 **, ****동 ****호 (상계동, 상계주공**단지아파트)1619하이피디아2024-01-30 15:53:27I2023-12-02 00:01:00.0<NA>204575.924275462580.526887<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>