Overview

Dataset statistics

Number of variables56
Number of observations26
Missing cells751
Missing cells (%)51.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.5 KiB
Average record size in memory494.1 B

Variable types

Categorical16
Text6
Numeric6
Unsupported27
DateTime1

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
Author중랑구
URLhttps://data.seoul.go.kr/dataList/OA-17273/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
문화체육업종명 has constant value ""Constant
주변환경명 has constant value ""Constant
도로명우편번호 is highly imbalanced (70.5%)Imbalance
통로너비 is highly imbalanced (76.5%)Imbalance
인허가취소일자 has 26 (100.0%) missing valuesMissing
폐업일자 has 2 (7.7%) missing valuesMissing
휴업시작일자 has 26 (100.0%) missing valuesMissing
휴업종료일자 has 26 (100.0%) missing valuesMissing
재개업일자 has 26 (100.0%) missing valuesMissing
전화번호 has 5 (19.2%) missing valuesMissing
소재지면적 has 26 (100.0%) missing valuesMissing
소재지우편번호 has 9 (34.6%) missing valuesMissing
도로명주소 has 2 (7.7%) missing valuesMissing
업태구분명 has 26 (100.0%) missing valuesMissing
주변환경명 has 25 (96.2%) missing valuesMissing
제작취급품목내용 has 26 (100.0%) missing valuesMissing
시설면적 has 6 (23.1%) missing valuesMissing
조명시설조도 has 26 (100.0%) missing valuesMissing
노래방실수 has 26 (100.0%) missing valuesMissing
청소년실수 has 26 (100.0%) missing valuesMissing
비상계단여부 has 26 (100.0%) missing valuesMissing
비상구여부 has 26 (100.0%) missing valuesMissing
자동환기여부 has 26 (100.0%) missing valuesMissing
청소년실여부 has 26 (100.0%) missing valuesMissing
특수조명여부 has 26 (100.0%) missing valuesMissing
방음시설여부 has 26 (100.0%) missing valuesMissing
조명시설유무 has 26 (100.0%) missing valuesMissing
음향시설여부 has 26 (100.0%) missing valuesMissing
편의시설여부 has 26 (100.0%) missing valuesMissing
소방시설여부 has 26 (100.0%) missing valuesMissing
총게임기수 has 26 (100.0%) missing valuesMissing
기존게임업외업종명 has 26 (100.0%) missing valuesMissing
제공게임물명 has 26 (100.0%) missing valuesMissing
공연장형태구분명 has 26 (100.0%) missing valuesMissing
품목명 has 26 (100.0%) missing valuesMissing
최초등록시점 has 26 (100.0%) missing valuesMissing
지역구분명 has 26 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
지번주소 has unique valuesUnique
사업장명 has unique valuesUnique
좌표정보(X) has unique valuesUnique
좌표정보(Y) 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
제작취급품목내용 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
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
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설면적 has 9 (34.6%) zerosZeros

Reproduction

Analysis started2024-04-06 12:05:21.927620
Analysis finished2024-04-06 12:05:22.618803
Duration0.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
3060000
26 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3060000
2nd row3060000
3rd row3060000
4th row3060000
5th row3060000

Common Values

ValueCountFrequency (%)
3060000 26
100.0%

Length

2024-04-06T21:05:22.734597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:05:22.882307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3060000 26
100.0%

관리번호
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-04-06T21:05:23.091417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters520
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

Unique26 ?
Unique (%)100.0%

Sample

1st rowCDFF1242011996000001
2nd rowCDFF1242011996000003
3rd rowCDFF1242011996000004
4th rowCDFF1242011996000005
5th rowCDFF1242011996000006
ValueCountFrequency (%)
cdff1242011996000001 1
 
3.8%
cdff1242011996000003 1
 
3.8%
cdff1242012005000001 1
 
3.8%
cdff1242012004000002 1
 
3.8%
cdff1242012004000001 1
 
3.8%
cdff1242012003000005 1
 
3.8%
cdff1242012003000004 1
 
3.8%
cdff1242012003000003 1
 
3.8%
cdff1242012003000002 1
 
3.8%
cdff1242012003000001 1
 
3.8%
Other values (16) 16
61.5%
2024-04-06T21:05:23.607809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 188
36.2%
2 78
15.0%
1 71
 
13.7%
F 52
 
10.0%
4 31
 
6.0%
C 26
 
5.0%
D 26
 
5.0%
9 22
 
4.2%
6 10
 
1.9%
3 8
 
1.5%
Other values (3) 8
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 416
80.0%
Uppercase Letter 104
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 188
45.2%
2 78
18.8%
1 71
 
17.1%
4 31
 
7.5%
9 22
 
5.3%
6 10
 
2.4%
3 8
 
1.9%
5 5
 
1.2%
8 2
 
0.5%
7 1
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
F 52
50.0%
C 26
25.0%
D 26
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 416
80.0%
Latin 104
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 188
45.2%
2 78
18.8%
1 71
 
17.1%
4 31
 
7.5%
9 22
 
5.3%
6 10
 
2.4%
3 8
 
1.9%
5 5
 
1.2%
8 2
 
0.5%
7 1
 
0.2%
Latin
ValueCountFrequency (%)
F 52
50.0%
C 26
25.0%
D 26
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 520
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 188
36.2%
2 78
15.0%
1 71
 
13.7%
F 52
 
10.0%
4 31
 
6.0%
C 26
 
5.0%
D 26
 
5.0%
9 22
 
4.2%
6 10
 
1.9%
3 8
 
1.5%
Other values (3) 8
 
1.5%

인허가일자
Real number (ℝ)

Distinct24
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20004946
Minimum19960906
Maximum20051125
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-04-06T21:05:23.823418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19960906
5-th percentile19960909
Q119961037
median20020126
Q320030312
95-th percentile20048419
Maximum20051125
Range90219
Interquartile range (IQR)69274.75

Descriptive statistics

Standard deviation33390.662
Coefficient of variation (CV)0.0016691203
Kurtosis-1.5463781
Mean20004946
Median Absolute Deviation (MAD)20792
Skewness-0.35473742
Sum5.201286 × 108
Variance1.1149363 × 109
MonotonicityIncreasing
2024-04-06T21:05:24.020265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
19960909 3
 
11.5%
19960906 1
 
3.8%
20021019 1
 
3.8%
20051125 1
 
3.8%
20050818 1
 
3.8%
20041221 1
 
3.8%
20040614 1
 
3.8%
20031218 1
 
3.8%
20030602 1
 
3.8%
20030314 1
 
3.8%
Other values (14) 14
53.8%
ValueCountFrequency (%)
19960906 1
 
3.8%
19960909 3
11.5%
19960912 1
 
3.8%
19960919 1
 
3.8%
19961011 1
 
3.8%
19961115 1
 
3.8%
19980123 1
 
3.8%
19991029 1
 
3.8%
20010609 1
 
3.8%
20020104 1
 
3.8%
ValueCountFrequency (%)
20051125 1
3.8%
20050818 1
3.8%
20041221 1
3.8%
20040614 1
3.8%
20031218 1
3.8%
20030602 1
3.8%
20030314 1
3.8%
20030305 1
3.8%
20030218 1
3.8%
20021122 1
3.8%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
3
19 
4
5 
1
2 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 19
73.1%
4 5
 
19.2%
1 2
 
7.7%

Length

2024-04-06T21:05:24.239324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:05:24.432373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 19
73.1%
4 5
 
19.2%
1 2
 
7.7%

영업상태명
Categorical

Distinct3
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
폐업
19 
취소/말소/만료/정지/중지
5 
영업/정상
2 

Length

Max length14
Median length2
Mean length4.5384615
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 19
73.1%
취소/말소/만료/정지/중지 5
 
19.2%
영업/정상 2
 
7.7%

Length

2024-04-06T21:05:24.626778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:05:24.773081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 19
73.1%
취소/말소/만료/정지/중지 5
 
19.2%
영업/정상 2
 
7.7%

상세영업상태코드
Categorical

Distinct3
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
3
19 
35
5 
13
2 

Length

Max length2
Median length1
Mean length1.2692308
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row35
5th row3

Common Values

ValueCountFrequency (%)
3 19
73.1%
35 5
 
19.2%
13 2
 
7.7%

Length

2024-04-06T21:05:24.962323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:05:25.137961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 19
73.1%
35 5
 
19.2%
13 2
 
7.7%

상세영업상태명
Categorical

Distinct3
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
폐업
19 
직권말소
5 
영업중
2 

Length

Max length4
Median length2
Mean length2.4615385
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 19
73.1%
직권말소 5
 
19.2%
영업중 2
 
7.7%

Length

2024-04-06T21:05:25.338231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:05:25.535270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 19
73.1%
직권말소 5
 
19.2%
영업중 2
 
7.7%

폐업일자
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)83.3%
Missing2
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean20094165
Minimum19991110
Maximum20210819
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-04-06T21:05:25.695783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19991110
5-th percentile19994206
Q120038183
median20070418
Q320200870
95-th percentile20201020
Maximum20210819
Range219709
Interquartile range (IQR)162687.25

Descriptive statistics

Standard deviation76627.959
Coefficient of variation (CV)0.0038134433
Kurtosis-1.2559898
Mean20094165
Median Absolute Deviation (MAD)44805.5
Skewness0.49603558
Sum4.8225996 × 108
Variance5.8718441 × 109
MonotonicityNot monotonic
2024-04-06T21:05:25.871161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
20201020 5
19.2%
20070522 1
 
3.8%
20070302 1
 
3.8%
20200820 1
 
3.8%
20110824 1
 
3.8%
20090803 1
 
3.8%
20081222 1
 
3.8%
20080523 1
 
3.8%
20040702 1
 
3.8%
20050707 1
 
3.8%
Other values (10) 10
38.5%
(Missing) 2
 
7.7%
ValueCountFrequency (%)
19991110 1
3.8%
19991204 1
3.8%
20011218 1
3.8%
20020601 1
3.8%
20021213 1
3.8%
20030625 1
3.8%
20040702 1
3.8%
20050404 1
3.8%
20050707 1
3.8%
20060925 1
3.8%
ValueCountFrequency (%)
20210819 1
 
3.8%
20201020 5
19.2%
20200820 1
 
3.8%
20110824 1
 
3.8%
20090803 1
 
3.8%
20081222 1
 
3.8%
20080523 1
 
3.8%
20070522 1
 
3.8%
20070315 1
 
3.8%
20070302 1
 
3.8%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

전화번호
Text

MISSING 

Distinct21
Distinct (%)100.0%
Missing5
Missing (%)19.2%
Memory size340.0 B
2024-04-06T21:05:26.176596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length8
Mean length8.4285714
Min length8

Characters and Unicode

Total characters177
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

Unique21 ?
Unique (%)100.0%

Sample

1st row434-4040
2nd row2208-6338
3rd row494-8825
4th row434-0697
5th row496-3589
ValueCountFrequency (%)
2208-6338 1
 
4.8%
493-6433 1
 
4.8%
02-493-9377 1
 
4.8%
494-3968 1
 
4.8%
496-5063 1
 
4.8%
437-1072 1
 
4.8%
439-8488 1
 
4.8%
2207-4452 1
 
4.8%
2242-1935 1
 
4.8%
438-6943 1
 
4.8%
Other values (11) 11
52.4%
2024-04-06T21:05:26.745992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 28
15.8%
3 25
14.1%
- 23
13.0%
2 18
10.2%
9 18
10.2%
8 15
8.5%
7 15
8.5%
0 13
7.3%
6 11
 
6.2%
5 7
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 154
87.0%
Dash Punctuation 23
 
13.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 28
18.2%
3 25
16.2%
2 18
11.7%
9 18
11.7%
8 15
9.7%
7 15
9.7%
0 13
8.4%
6 11
 
7.1%
5 7
 
4.5%
1 4
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 177
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 28
15.8%
3 25
14.1%
- 23
13.0%
2 18
10.2%
9 18
10.2%
8 15
8.5%
7 15
8.5%
0 13
7.3%
6 11
 
6.2%
5 7
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 177
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 28
15.8%
3 25
14.1%
- 23
13.0%
2 18
10.2%
9 18
10.2%
8 15
8.5%
7 15
8.5%
0 13
7.3%
6 11
 
6.2%
5 7
 
4.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)58.8%
Missing9
Missing (%)34.6%
Infinite0
Infinite (%)0.0%
Mean131840.29
Minimum131809
Maximum131879
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-04-06T21:05:27.055978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum131809
5-th percentile131812.2
Q1131828
median131831
Q3131861
95-th percentile131878.2
Maximum131879
Range70
Interquartile range (IQR)33

Descriptive statistics

Standard deviation22.695717
Coefficient of variation (CV)0.00017214553
Kurtosis-1.1850915
Mean131840.29
Median Absolute Deviation (MAD)18
Skewness0.39360097
Sum2241285
Variance515.09559
MonotonicityNot monotonic
2024-04-06T21:05:27.322065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
131861 4
15.4%
131828 4
15.4%
131831 2
 
7.7%
131809 1
 
3.8%
131814 1
 
3.8%
131851 1
 
3.8%
131823 1
 
3.8%
131878 1
 
3.8%
131813 1
 
3.8%
131879 1
 
3.8%
(Missing) 9
34.6%
ValueCountFrequency (%)
131809 1
 
3.8%
131813 1
 
3.8%
131814 1
 
3.8%
131823 1
 
3.8%
131828 4
15.4%
131831 2
7.7%
131851 1
 
3.8%
131861 4
15.4%
131878 1
 
3.8%
131879 1
 
3.8%
ValueCountFrequency (%)
131879 1
 
3.8%
131878 1
 
3.8%
131861 4
15.4%
131851 1
 
3.8%
131831 2
7.7%
131828 4
15.4%
131823 1
 
3.8%
131814 1
 
3.8%
131813 1
 
3.8%
131809 1
 
3.8%

지번주소
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-04-06T21:05:27.675270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length27.5
Mean length23.653846
Min length21

Characters and Unicode

Total characters615
Distinct characters41
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st row서울특별시 중랑구 상봉동 128-45번지
2nd row서울특별시 중랑구 면목동 617-1번지
3rd row서울특별시 중랑구 망우동 516-2번지
4th row서울특별시 중랑구 망우동 202-19 a동 지하
5th row서울특별시 중랑구 면목동 611-2번지
ValueCountFrequency (%)
서울특별시 26
22.8%
중랑구 26
22.8%
면목동 14
12.3%
상봉동 7
 
6.1%
3층 3
 
2.6%
4층 2
 
1.8%
중화동 2
 
1.8%
망우동 2
 
1.8%
496-16 1
 
0.9%
207-24번지 1
 
0.9%
Other values (30) 30
26.3%
2024-04-06T21:05:28.270841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
114
18.5%
1 32
 
5.2%
중 28
 
4.6%
동 27
 
4.4%
서 26
 
4.2%
특 26
 
4.2%
별 26
 
4.2%
시 26
 
4.2%
랑 26
 
4.2%
구 26
 
4.2%
Other values (31) 258
42.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 338
55.0%
Decimal Number 134
 
21.8%
Space Separator 114
 
18.5%
Dash Punctuation 26
 
4.2%
Lowercase Letter 1
 
0.2%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 28
 
8.3%
동 27
 
8.0%
서 26
 
7.7%
특 26
 
7.7%
별 26
 
7.7%
시 26
 
7.7%
랑 26
 
7.7%
구 26
 
7.7%
울 26
 
7.7%
지 21
 
6.2%
Other values (16) 80
23.7%
Decimal Number
ValueCountFrequency (%)
1 32
23.9%
2 19
14.2%
4 17
12.7%
3 14
10.4%
6 13
9.7%
0 12
 
9.0%
9 11
 
8.2%
8 6
 
4.5%
5 6
 
4.5%
7 4
 
3.0%
Space Separator
ValueCountFrequency (%)
114
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Lowercase Letter
ValueCountFrequency (%)
a 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 338
55.0%
Common 276
44.9%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 28
 
8.3%
동 27
 
8.0%
서 26
 
7.7%
특 26
 
7.7%
별 26
 
7.7%
시 26
 
7.7%
랑 26
 
7.7%
구 26
 
7.7%
울 26
 
7.7%
지 21
 
6.2%
Other values (16) 80
23.7%
Common
ValueCountFrequency (%)
114
41.3%
1 32
 
11.6%
- 26
 
9.4%
2 19
 
6.9%
4 17
 
6.2%
3 14
 
5.1%
6 13
 
4.7%
0 12
 
4.3%
9 11
 
4.0%
8 6
 
2.2%
Other values (4) 12
 
4.3%
Latin
ValueCountFrequency (%)
a 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 338
55.0%
ASCII 277
45.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
114
41.2%
1 32
 
11.6%
- 26
 
9.4%
2 19
 
6.9%
4 17
 
6.1%
3 14
 
5.1%
6 13
 
4.7%
0 12
 
4.3%
9 11
 
4.0%
8 6
 
2.2%
Other values (5) 13
 
4.7%
Hangul
ValueCountFrequency (%)
중 28
 
8.3%
동 27
 
8.0%
서 26
 
7.7%
특 26
 
7.7%
별 26
 
7.7%
시 26
 
7.7%
랑 26
 
7.7%
구 26
 
7.7%
울 26
 
7.7%
지 21
 
6.2%
Other values (16) 80
23.7%

도로명주소
Text

MISSING 

Distinct24
Distinct (%)100.0%
Missing2
Missing (%)7.7%
Memory size340.0 B
2024-04-06T21:05:28.587425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length29.5
Mean length25.833333
Min length23

Characters and Unicode

Total characters620
Distinct characters46
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row서울특별시 중랑구 망우로 224 (상봉동)
2nd row서울특별시 중랑구 면목로 316 (면목동)
3rd row서울특별시 중랑구 상봉로 104 (망우동)
4th row서울특별시 중랑구 면목로 338 (면목동)
5th row서울특별시 중랑구 면목로 216 (면목동)
ValueCountFrequency (%)
서울특별시 24
19.8%
중랑구 24
19.8%
면목동 10
 
8.3%
면목로 7
 
5.8%
망우로32길 5
 
4.1%
망우로 4
 
3.3%
상봉동 4
 
3.3%
면목로45길 2
 
1.7%
상봉동,3층 2
 
1.7%
22 2
 
1.7%
Other values (36) 37
30.6%
2024-04-06T21:05:29.615540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
114
18.4%
중 27
 
4.4%
동 26
 
4.2%
) 25
 
4.0%
( 25
 
4.0%
랑 25
 
4.0%
2 24
 
3.9%
울 24
 
3.9%
서 24
 
3.9%
구 24
 
3.9%
Other values (36) 282
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 360
58.1%
Space Separator 114
 
18.4%
Decimal Number 88
 
14.2%
Close Punctuation 25
 
4.0%
Open Punctuation 25
 
4.0%
Other Punctuation 7
 
1.1%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 27
 
7.5%
동 26
 
7.2%
랑 25
 
6.9%
울 24
 
6.7%
서 24
 
6.7%
구 24
 
6.7%
시 24
 
6.7%
별 24
 
6.7%
특 24
 
6.7%
로 24
 
6.7%
Other values (21) 114
31.7%
Decimal Number
ValueCountFrequency (%)
2 24
27.3%
3 19
21.6%
4 9
 
10.2%
1 8
 
9.1%
6 7
 
8.0%
0 7
 
8.0%
8 5
 
5.7%
5 5
 
5.7%
7 3
 
3.4%
9 1
 
1.1%
Space Separator
ValueCountFrequency (%)
114
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 360
58.1%
Common 260
41.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 27
 
7.5%
동 26
 
7.2%
랑 25
 
6.9%
울 24
 
6.7%
서 24
 
6.7%
구 24
 
6.7%
시 24
 
6.7%
별 24
 
6.7%
특 24
 
6.7%
로 24
 
6.7%
Other values (21) 114
31.7%
Common
ValueCountFrequency (%)
114
43.8%
) 25
 
9.6%
( 25
 
9.6%
2 24
 
9.2%
3 19
 
7.3%
4 9
 
3.5%
1 8
 
3.1%
6 7
 
2.7%
0 7
 
2.7%
, 7
 
2.7%
Other values (5) 15
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 360
58.1%
ASCII 260
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
114
43.8%
) 25
 
9.6%
( 25
 
9.6%
2 24
 
9.2%
3 19
 
7.3%
4 9
 
3.5%
1 8
 
3.1%
6 7
 
2.7%
0 7
 
2.7%
, 7
 
2.7%
Other values (5) 15
 
5.8%
Hangul
ValueCountFrequency (%)
중 27
 
7.5%
동 26
 
7.2%
랑 25
 
6.9%
울 24
 
6.7%
서 24
 
6.7%
구 24
 
6.7%
시 24
 
6.7%
별 24
 
6.7%
특 24
 
6.7%
로 24
 
6.7%
Other values (21) 114
31.7%

도로명우편번호
Categorical

IMBALANCE 

Distinct3
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
24 
2213
 
1
2120
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique2 ?
Unique (%)7.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 24
92.3%
2213 1
 
3.8%
2120 1
 
3.8%

Length

2024-04-06T21:05:29.887769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:05:30.071247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
92.3%
2213 1
 
3.8%
2120 1
 
3.8%

사업장명
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-04-06T21:05:30.360864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8.5
Mean length6.8846154
Min length4

Characters and Unicode

Total characters179
Distinct characters62
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st row큐비디오방
2nd row스크린2
3rd row키노비디오방
4th row풍차비디오방
5th row짱비디오방
ValueCountFrequency (%)
dvd 3
 
9.1%
탑 2
 
6.1%
비디오방 2
 
6.1%
큐비디오방 1
 
3.0%
u.s.a 1
 
3.0%
연2 1
 
3.0%
dvd키네마 1
 
3.0%
연dvd방 1
 
3.0%
스타박스 1
 
3.0%
두리비디오방 1
 
3.0%
Other values (19) 19
57.6%
2024-04-06T21:05:30.926530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
디 17
 
9.5%
오 16
 
8.9%
비 16
 
8.9%
D 16
 
8.9%
방 13
 
7.3%
V 8
 
4.5%
7
 
3.9%
스 5
 
2.8%
영 4
 
2.2%
실 4
 
2.2%
Other values (52) 73
40.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 136
76.0%
Uppercase Letter 31
 
17.3%
Space Separator 7
 
3.9%
Other Punctuation 3
 
1.7%
Decimal Number 2
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
디 17
 
12.5%
오 16
 
11.8%
비 16
 
11.8%
방 13
 
9.6%
스 5
 
3.7%
영 4
 
2.9%
실 4
 
2.9%
상 4
 
2.9%
감 4
 
2.9%
화 3
 
2.2%
Other values (41) 50
36.8%
Uppercase Letter
ValueCountFrequency (%)
D 16
51.6%
V 8
25.8%
S 3
 
9.7%
A 1
 
3.2%
U 1
 
3.2%
K 1
 
3.2%
B 1
 
3.2%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
' 1
33.3%
Space Separator
ValueCountFrequency (%)
7
100.0%
Decimal Number
ValueCountFrequency (%)
2 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 136
76.0%
Latin 31
 
17.3%
Common 12
 
6.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
디 17
 
12.5%
오 16
 
11.8%
비 16
 
11.8%
방 13
 
9.6%
스 5
 
3.7%
영 4
 
2.9%
실 4
 
2.9%
상 4
 
2.9%
감 4
 
2.9%
화 3
 
2.2%
Other values (41) 50
36.8%
Latin
ValueCountFrequency (%)
D 16
51.6%
V 8
25.8%
S 3
 
9.7%
A 1
 
3.2%
U 1
 
3.2%
K 1
 
3.2%
B 1
 
3.2%
Common
ValueCountFrequency (%)
7
58.3%
2 2
 
16.7%
. 2
 
16.7%
' 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 136
76.0%
ASCII 43
 
24.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
디 17
 
12.5%
오 16
 
11.8%
비 16
 
11.8%
방 13
 
9.6%
스 5
 
3.7%
영 4
 
2.9%
실 4
 
2.9%
상 4
 
2.9%
감 4
 
2.9%
화 3
 
2.2%
Other values (41) 50
36.8%
ASCII
ValueCountFrequency (%)
D 16
37.2%
V 8
18.6%
7
16.3%
S 3
 
7.0%
2 2
 
4.7%
. 2
 
4.7%
A 1
 
2.3%
U 1
 
2.3%
K 1
 
2.3%
B 1
 
2.3%

최종수정일자
Date

Distinct22
Distinct (%)84.6%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2003-04-18 17:03:26
Maximum2021-08-23 09:31:47
2024-04-06T21:05:31.178707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:05:31.396324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

데이터갱신구분
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
I
18 
U
8 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 18
69.2%
U 8
30.8%

Length

2024-04-06T21:05:31.697987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:05:31.870571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 18
69.2%
u 8
30.8%

데이터갱신일자
Categorical

Distinct5
Distinct (%)19.2%
Missing0
Missing (%)0.0%
Memory size340.0 B
2018-08-31 23:59:59.0
18 
2020-10-22 02:40:00.0
5 
2020-06-25 02:40:00.0
 
1
2021-08-25 02:40:00.0
 
1
2020-08-22 02:40:00.0
 
1

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique3 ?
Unique (%)11.5%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2020-10-22 02:40:00.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 18
69.2%
2020-10-22 02:40:00.0 5
 
19.2%
2020-06-25 02:40:00.0 1
 
3.8%
2021-08-25 02:40:00.0 1
 
3.8%
2020-08-22 02:40:00.0 1
 
3.8%

Length

2024-04-06T21:05:32.064762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:05:32.290586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-08-31 18
34.6%
23:59:59.0 18
34.6%
02:40:00.0 8
15.4%
2020-10-22 5
 
9.6%
2020-06-25 1
 
1.9%
2021-08-25 1
 
1.9%
2020-08-22 1
 
1.9%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

좌표정보(X)
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean207307.09
Minimum206624.28
Maximum209006.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-04-06T21:05:32.568761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum206624.28
5-th percentile206647.84
Q1206718.61
median207469.05
Q3207750.99
95-th percentile208076.82
Maximum209006.85
Range2382.5683
Interquartile range (IQR)1032.3863

Descriptive statistics

Standard deviation631.72082
Coefficient of variation (CV)0.0030472706
Kurtosis0.088531391
Mean207307.09
Median Absolute Deviation (MAD)683.48337
Skewness0.643888
Sum5389984.4
Variance399071.19
MonotonicityNot monotonic
2024-04-06T21:05:32.855376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
206801.982142431 1
 
3.8%
206745.3156041 1
 
3.8%
206739.104478081 1
 
3.8%
207720.341138836 1
 
3.8%
207710.814947971 1
 
3.8%
207593.257550138 1
 
3.8%
207718.31028614 1
 
3.8%
207800.445017282 1
 
3.8%
207643.057579455 1
 
3.8%
206624.280520688 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
206624.280520688 1
3.8%
206643.792238808 1
3.8%
206659.973725483 1
3.8%
206668.214785078 1
3.8%
206679.749624234 1
3.8%
206696.281677722 1
3.8%
206711.773147364 1
3.8%
206739.104478081 1
3.8%
206740.95977172 1
3.8%
206745.3156041 1
3.8%
ValueCountFrequency (%)
209006.848797065 1
3.8%
208168.948878985 1
3.8%
207800.445017282 1
3.8%
207779.988755763 1
3.8%
207777.016494257 1
3.8%
207759.745765074 1
3.8%
207756.682860792 1
3.8%
207733.920478367 1
3.8%
207720.341138836 1
3.8%
207718.31028614 1
3.8%

좌표정보(Y)
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean454035.44
Minimum452218.43
Maximum456652.46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-04-06T21:05:33.149182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum452218.43
5-th percentile453018.1
Q1453213.75
median454392.58
Q3454599.72
95-th percentile455244.16
Maximum456652.46
Range4434.0309
Interquartile range (IQR)1385.9715

Descriptive statistics

Standard deviation977.12711
Coefficient of variation (CV)0.0021520944
Kurtosis0.43739424
Mean454035.44
Median Absolute Deviation (MAD)844.48485
Skewness0.47659661
Sum11804921
Variance954777.39
MonotonicityNot monotonic
2024-04-06T21:05:33.445916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
454644.470413314 1
 
3.8%
454434.614373964 1
 
3.8%
455075.034616356 1
 
3.8%
453229.274393285 1
 
3.8%
453260.188599749 1
 
3.8%
453065.567418399 1
 
3.8%
453208.570852504 1
 
3.8%
453318.113238712 1
 
3.8%
453002.271578754 1
 
3.8%
454591.094674427 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
452218.427242593 1
3.8%
453002.271578754 1
3.8%
453065.567418399 1
3.8%
453087.52613467 1
3.8%
453121.879678386 1
3.8%
453126.60202146 1
3.8%
453208.570852504 1
3.8%
453229.274393285 1
3.8%
453260.188599749 1
3.8%
453318.113238712 1
3.8%
ValueCountFrequency (%)
456652.458176141 1
3.8%
455300.541065532 1
3.8%
455075.034616356 1
3.8%
454768.684225481 1
3.8%
454692.213687428 1
3.8%
454644.470413314 1
3.8%
454602.592730634 1
3.8%
454591.094674427 1
3.8%
454585.428040874 1
3.8%
454585.286694411 1
3.8%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
비디오물감상실업
26 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
비디오물감상실업 26
100.0%

Length

2024-04-06T21:05:33.761306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:05:33.941699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비디오물감상실업 26
100.0%

문화사업자구분명
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
유통관련업
16 
<NA>
10 

Length

Max length5
Median length5
Mean length4.6153846
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 16
61.5%
<NA> 10
38.5%

Length

2024-04-06T21:05:34.097471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:05:34.262601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 16
61.5%
na 10
38.5%

총층수
Categorical

Distinct6
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
17 
0
5 
3
 
1
4
 
1
7
 
1

Length

Max length4
Median length4
Mean length2.9615385
Min length1

Unique

Unique4 ?
Unique (%)15.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 17
65.4%
0 5
 
19.2%
3 1
 
3.8%
4 1
 
3.8%
7 1
 
3.8%
5 1
 
3.8%

Length

2024-04-06T21:05:34.435783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:05:34.616337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 17
65.4%
0 5
 
19.2%
3 1
 
3.8%
4 1
 
3.8%
7 1
 
3.8%
5 1
 
3.8%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing25
Missing (%)96.2%
Memory size340.0 B
2024-04-06T21:05:34.769755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row기타
ValueCountFrequency (%)
기타 1
100.0%
2024-04-06T21:05:35.193088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)55.0%
Missing6
Missing (%)23.1%
Infinite0
Infinite (%)0.0%
Mean62.317
Minimum0
Maximum175.41
Zeros9
Zeros (%)34.6%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-04-06T21:05:35.435529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median67.17
Q3109.11
95-th percentile162.9365
Maximum175.41
Range175.41
Interquartile range (IQR)109.11

Descriptive statistics

Standard deviation63.204923
Coefficient of variation (CV)1.0142485
Kurtosis-1.4456404
Mean62.317
Median Absolute Deviation (MAD)67.17
Skewness0.30227583
Sum1246.34
Variance3994.8623
MonotonicityNot monotonic
2024-04-06T21:05:35.615471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.0 9
34.6%
132.0 2
 
7.7%
90.0 1
 
3.8%
115.5 1
 
3.8%
99.0 1
 
3.8%
162.28 1
 
3.8%
58.74 1
 
3.8%
175.41 1
 
3.8%
98.83 1
 
3.8%
75.6 1
 
3.8%
(Missing) 6
23.1%
ValueCountFrequency (%)
0.0 9
34.6%
58.74 1
 
3.8%
75.6 1
 
3.8%
90.0 1
 
3.8%
98.83 1
 
3.8%
99.0 1
 
3.8%
106.98 1
 
3.8%
115.5 1
 
3.8%
132.0 2
 
7.7%
162.28 1
 
3.8%
ValueCountFrequency (%)
175.41 1
3.8%
162.28 1
3.8%
132.0 2
7.7%
115.5 1
3.8%
106.98 1
3.8%
99.0 1
3.8%
98.83 1
3.8%
90.0 1
3.8%
75.6 1
3.8%
58.74 1
3.8%

지상층수
Categorical

Distinct5
Distinct (%)19.2%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
16 
0
4 
3
3 
4
2 
2
 
1

Length

Max length4
Median length4
Mean length2.8461538
Min length1

Unique

Unique1 ?
Unique (%)3.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 16
61.5%
0 4
 
15.4%
3 3
 
11.5%
4 2
 
7.7%
2 1
 
3.8%

Length

2024-04-06T21:05:35.842470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:05:36.045607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 16
61.5%
0 4
 
15.4%
3 3
 
11.5%
4 2
 
7.7%
2 1
 
3.8%

지하층수
Categorical

Distinct3
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
19 
0
5 
1
2 

Length

Max length4
Median length4
Mean length3.1923077
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 19
73.1%
0 5
 
19.2%
1 2
 
7.7%

Length

2024-04-06T21:05:36.262094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:05:36.434304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
73.1%
0 5
 
19.2%
1 2
 
7.7%

건물용도명
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
17 
근린생활시설
9 

Length

Max length6
Median length4
Mean length4.6923077
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 17
65.4%
근린생활시설 9
34.6%

Length

2024-04-06T21:05:36.682377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:05:36.892559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 17
65.4%
근린생활시설 9
34.6%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
25 
1
 
1

Length

Max length4
Median length4
Mean length3.8846154
Min length1

Unique

Unique1 ?
Unique (%)3.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 25
96.2%
1 1
 
3.8%

Length

2024-04-06T21:05:37.074540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:05:37.251344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 25
96.2%
1 1
 
3.8%

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

비디오재생기명
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
자동
16 
<NA>
10 

Length

Max length4
Median length2
Mean length2.7692308
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
자동 16
61.5%
<NA> 10
38.5%

Length

2024-04-06T21:05:37.437993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:05:37.613188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자동 16
61.5%
na 10
38.5%

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

총게임기수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
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개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
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203060000CDFF124201200300000420030602<NA>3폐업3폐업20080523<NA><NA><NA><NA><NA>131813서울특별시 중랑구 면목동 459-1번지서울특별시 중랑구 면목로48길 8 (면목동)<NA>스타박스 DVD2008-05-23 15:23:27I2018-08-31 23:59:59.0<NA>207800.445017453318.113239비디오물감상실업유통관련업<NA><NA><NA>162.28<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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233060000CDFF124201200400000220041221<NA>3폐업3폐업20110824<NA><NA><NA>02-493-9377<NA>131831서울특별시 중랑구 면목동 496-24번지 (3층)서울특별시 중랑구 면목로45길 7 (면목동,(3층))<NA>연2 DVD2011-08-24 15:57:33I2018-08-31 23:59:59.0<NA>207710.814948453260.1886비디오물감상실업유통관련업5<NA><NA>98.833<NA>근린생활시설1<NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
243060000CDFF124201200500000120050818<NA>3폐업3폐업20200820<NA><NA><NA><NA><NA><NA>서울특별시 중랑구 면목동 496-16 4층서울특별시 중랑구 면목로45길 3-8 (면목동,4층)<NA>탑 비디오방2020-08-20 15:04:07U2020-08-22 02:40:00.0<NA>207720.341139453229.274393비디오물감상실업<NA><NA><NA><NA>75.64<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
253060000CDFF124201200500000220051125<NA>3폐업3폐업20070302<NA><NA><NA>02-433-3271<NA>131879서울특별시 중랑구 중화동 300-48번지 지층서울특별시 중랑구 중랑역로 50 (중화동,지층)<NA>영하DVD영화관2007-03-02 16:36:17I2018-08-31 23:59:59.0<NA>206739.104478455075.034616비디오물감상실업유통관련업<NA><NA><NA>106.98<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>