Overview

Dataset statistics

Number of variables56
Number of observations24
Missing cells766
Missing cells (%)57.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.6 KiB
Average record size in memory496.5 B

Variable types

Categorical13
Text6
Numeric6
Unsupported30
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
Author강북구
URLhttps://data.seoul.go.kr/dataList/OA-16674/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
문화체육업종명 has constant value ""Constant
문화사업자구분명 has constant value ""Constant
소재지우편번호 is highly imbalanced (62.9%)Imbalance
총층수 is highly imbalanced (68.6%)Imbalance
지하층수 is highly imbalanced (68.6%)Imbalance
인허가취소일자 has 24 (100.0%) missing valuesMissing
폐업일자 has 12 (50.0%) missing valuesMissing
휴업시작일자 has 24 (100.0%) missing valuesMissing
휴업종료일자 has 24 (100.0%) missing valuesMissing
재개업일자 has 24 (100.0%) missing valuesMissing
전화번호 has 19 (79.2%) missing valuesMissing
소재지면적 has 24 (100.0%) missing valuesMissing
도로명주소 has 1 (4.2%) missing valuesMissing
도로명우편번호 has 10 (41.7%) missing valuesMissing
업태구분명 has 24 (100.0%) missing valuesMissing
좌표정보(X) has 1 (4.2%) missing valuesMissing
좌표정보(Y) has 1 (4.2%) missing valuesMissing
주변환경명 has 24 (100.0%) missing valuesMissing
시설면적 has 2 (8.3%) missing valuesMissing
건물용도명 has 24 (100.0%) missing valuesMissing
통로너비 has 24 (100.0%) missing valuesMissing
조명시설조도 has 24 (100.0%) missing valuesMissing
노래방실수 has 24 (100.0%) missing valuesMissing
청소년실수 has 24 (100.0%) missing valuesMissing
비상계단여부 has 24 (100.0%) missing valuesMissing
비상구여부 has 24 (100.0%) missing valuesMissing
자동환기여부 has 24 (100.0%) missing valuesMissing
청소년실여부 has 24 (100.0%) missing valuesMissing
특수조명여부 has 24 (100.0%) missing valuesMissing
방음시설여부 has 24 (100.0%) missing valuesMissing
비디오재생기명 has 24 (100.0%) missing valuesMissing
조명시설유무 has 24 (100.0%) missing valuesMissing
음향시설여부 has 24 (100.0%) missing valuesMissing
편의시설여부 has 24 (100.0%) missing valuesMissing
소방시설여부 has 24 (100.0%) missing valuesMissing
총게임기수 has 24 (100.0%) missing valuesMissing
기존게임업외업종명 has 24 (100.0%) missing valuesMissing
제공게임물명 has 24 (100.0%) missing valuesMissing
공연장형태구분명 has 24 (100.0%) missing valuesMissing
품목명 has 24 (100.0%) missing valuesMissing
최초등록시점 has 24 (100.0%) missing valuesMissing
지역구분명 has 24 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주변환경명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물용도명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설면적 has 1 (4.2%) zerosZeros

Reproduction

Analysis started2024-05-11 03:34:37.422631
Analysis finished2024-05-11 03:34:38.507320
Duration1.08 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
3080000
24 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3080000 24
100.0%

Length

2024-05-11T03:34:38.783870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:34:39.143456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3080000 24
100.0%

관리번호
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-05-11T03:34:39.687603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters480
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

Unique24 ?
Unique (%)100.0%

Sample

1st rowCDFF2241122000000001
2nd rowCDFF2241122002000001
3rd rowCDFF2241122007000001
4th rowCDFF2241122009000001
5th rowCDFF2241122009000002
ValueCountFrequency (%)
cdff2241122000000001 1
 
4.2%
cdff2241122002000001 1
 
4.2%
cdff2241122016000001 1
 
4.2%
cdff2241122015000005 1
 
4.2%
cdff2241122015000003 1
 
4.2%
cdff2241122015000002 1
 
4.2%
cdff2241122015000001 1
 
4.2%
cdff2241122014000002 1
 
4.2%
cdff2241122014000001 1
 
4.2%
cdff2241122013000002 1
 
4.2%
Other values (14) 14
58.3%
2024-05-11T03:34:40.851542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 156
32.5%
2 104
21.7%
1 79
16.5%
F 48
 
10.0%
4 28
 
5.8%
C 24
 
5.0%
D 24
 
5.0%
3 5
 
1.0%
5 5
 
1.0%
9 4
 
0.8%
Other values (3) 3
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 384
80.0%
Uppercase Letter 96
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 156
40.6%
2 104
27.1%
1 79
20.6%
4 28
 
7.3%
3 5
 
1.3%
5 5
 
1.3%
9 4
 
1.0%
7 1
 
0.3%
6 1
 
0.3%
8 1
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
F 48
50.0%
C 24
25.0%
D 24
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 384
80.0%
Latin 96
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 156
40.6%
2 104
27.1%
1 79
20.6%
4 28
 
7.3%
3 5
 
1.3%
5 5
 
1.3%
9 4
 
1.0%
7 1
 
0.3%
6 1
 
0.3%
8 1
 
0.3%
Latin
ValueCountFrequency (%)
F 48
50.0%
C 24
25.0%
D 24
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 480
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 156
32.5%
2 104
21.7%
1 79
16.5%
F 48
 
10.0%
4 28
 
5.8%
C 24
 
5.0%
D 24
 
5.0%
3 5
 
1.0%
5 5
 
1.0%
9 4
 
0.8%
Other values (3) 3
 
0.6%

인허가일자
Real number (ℝ)

Distinct22
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20110591
Minimum20000527
Maximum20180831
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-05-11T03:34:41.339841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20000527
5-th percentile20027714
Q120090227
median20105716
Q320141148
95-th percentile20159199
Maximum20180831
Range180304
Interquartile range (IQR)50921.5

Descriptive statistics

Standard deviation41846.447
Coefficient of variation (CV)0.0020808164
Kurtosis1.3250852
Mean20110591
Median Absolute Deviation (MAD)24599
Skewness-0.91589674
Sum4.8265419 × 108
Variance1.7511252 × 109
MonotonicityNot monotonic
2024-05-11T03:34:41.798570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
20090213 2
 
8.3%
20090227 2
 
8.3%
20000527 1
 
4.2%
20130404 1
 
4.2%
20180831 1
 
4.2%
20160608 1
 
4.2%
20151214 1
 
4.2%
20150817 1
 
4.2%
20141222 1
 
4.2%
20150216 1
 
4.2%
Other values (12) 12
50.0%
ValueCountFrequency (%)
20000527 1
4.2%
20020110 1
4.2%
20070806 1
4.2%
20090213 2
8.3%
20090227 2
8.3%
20090408 1
4.2%
20100212 1
4.2%
20100715 1
4.2%
20101229 1
4.2%
20101230 1
4.2%
ValueCountFrequency (%)
20180831 1
4.2%
20160608 1
4.2%
20151214 1
4.2%
20150817 1
4.2%
20150216 1
4.2%
20141222 1
4.2%
20141124 1
4.2%
20141106 1
4.2%
20130404 1
4.2%
20130225 1
4.2%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
3
13 
1
11 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 13
54.2%
1 11
45.8%

Length

2024-05-11T03:34:42.392442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:34:42.708887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 13
54.2%
1 11
45.8%

영업상태명
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
폐업
13 
영업/정상
11 

Length

Max length5
Median length2
Mean length3.375
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 13
54.2%
영업/정상 11
45.8%

Length

2024-05-11T03:34:43.203413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:34:43.763753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 13
54.2%
영업/정상 11
45.8%

상세영업상태코드
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
3
13 
13
11 

Length

Max length2
Median length1
Mean length1.4583333
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 13
54.2%
13 11
45.8%

Length

2024-05-11T03:34:44.420012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:34:44.912148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 13
54.2%
13 11
45.8%

상세영업상태명
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
폐업
13 
영업중
11 

Length

Max length3
Median length2
Mean length2.4583333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 13
54.2%
영업중 11
45.8%

Length

2024-05-11T03:34:45.459751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:34:45.816979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 13
54.2%
영업중 11
45.8%

폐업일자
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)91.7%
Missing12
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean20124875
Minimum20080122
Maximum20190514
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-05-11T03:34:46.429931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080122
5-th percentile20080167
Q120091231
median20125757
Q320143323
95-th percentile20174131
Maximum20190514
Range110392
Interquartile range (IQR)52092

Descriptive statistics

Standard deviation34500.495
Coefficient of variation (CV)0.001714321
Kurtosis-0.54638575
Mean20124875
Median Absolute Deviation (MAD)29793
Skewness0.26408784
Sum2.414985 × 108
Variance1.1902842 × 109
MonotonicityNot monotonic
2024-05-11T03:34:47.031402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
20091231 2
 
8.3%
20080122 1
 
4.2%
20080204 1
 
4.2%
20120702 1
 
4.2%
20130401 1
 
4.2%
20121113 1
 
4.2%
20140611 1
 
4.2%
20140825 1
 
4.2%
20150817 1
 
4.2%
20160727 1
 
4.2%
(Missing) 12
50.0%
ValueCountFrequency (%)
20080122 1
4.2%
20080204 1
4.2%
20091231 2
8.3%
20120702 1
4.2%
20121113 1
4.2%
20130401 1
4.2%
20140611 1
4.2%
20140825 1
4.2%
20150817 1
4.2%
20160727 1
4.2%
ValueCountFrequency (%)
20190514 1
4.2%
20160727 1
4.2%
20150817 1
4.2%
20140825 1
4.2%
20140611 1
4.2%
20130401 1
4.2%
20121113 1
4.2%
20120702 1
4.2%
20091231 2
8.3%
20080204 1
4.2%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

전화번호
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing19
Missing (%)79.2%
Memory size324.0 B
2024-05-11T03:34:47.483995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.2
Min length8

Characters and Unicode

Total characters56
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 row031-534-3861
2nd row070-8940-9317
3rd row903-7701
4th row02-3274-1511
5th row02-980-6929
ValueCountFrequency (%)
031-534-3861 1
20.0%
070-8940-9317 1
20.0%
903-7701 1
20.0%
02-3274-1511 1
20.0%
02-980-6929 1
20.0%
2024-05-11T03:34:48.387709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 9
16.1%
- 9
16.1%
1 7
12.5%
3 6
10.7%
9 6
10.7%
7 5
8.9%
2 4
7.1%
4 3
 
5.4%
8 3
 
5.4%
5 2
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 47
83.9%
Dash Punctuation 9
 
16.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9
19.1%
1 7
14.9%
3 6
12.8%
9 6
12.8%
7 5
10.6%
2 4
8.5%
4 3
 
6.4%
8 3
 
6.4%
5 2
 
4.3%
6 2
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 56
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9
16.1%
- 9
16.1%
1 7
12.5%
3 6
10.7%
9 6
10.7%
7 5
8.9%
2 4
7.1%
4 3
 
5.4%
8 3
 
5.4%
5 2
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 56
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9
16.1%
- 9
16.1%
1 7
12.5%
3 6
10.7%
9 6
10.7%
7 5
8.9%
2 4
7.1%
4 3
 
5.4%
8 3
 
5.4%
5 2
 
3.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

소재지우편번호
Categorical

IMBALANCE 

Distinct4
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
21 
142864
 
1
142875
 
1
142891
 
1

Length

Max length6
Median length4
Mean length4.25
Min length4

Unique

Unique3 ?
Unique (%)12.5%

Sample

1st row142864
2nd row<NA>
3rd row142875
4th row<NA>
5th row142891

Common Values

ValueCountFrequency (%)
<NA> 21
87.5%
142864 1
 
4.2%
142875 1
 
4.2%
142891 1
 
4.2%

Length

2024-05-11T03:34:48.902434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:34:49.256190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
87.5%
142864 1
 
4.2%
142875 1
 
4.2%
142891 1
 
4.2%

지번주소
Text

Distinct20
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-05-11T03:34:49.620777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length28
Mean length24.458333
Min length19

Characters and Unicode

Total characters587
Distinct characters35
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

Unique16 ?
Unique (%)66.7%

Sample

1st row서울특별시 강북구 번동 ***-**번지
2nd row서울특별시 강북구 번동 *** 유니온빌딩 ***호
3rd row서울특별시 강북구 수유동 ***-***번지 *층
4th row서울특별시 강북구 미아동 ***-*
5th row서울특별시 강북구 수유동 **-**번지 *층 *호
ValueCountFrequency (%)
서울특별시 24
20.9%
강북구 24
20.9%
수유동 15
13.0%
15
13.0%
번지 9
 
7.8%
호 7
 
6.1%
층 6
 
5.2%
번동 5
 
4.3%
미아동 4
 
3.5%
현광빌딩*층 2
 
1.7%
Other values (4) 4
 
3.5%
2024-05-11T03:34:50.632951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 132
22.5%
111
18.9%
- 26
 
4.4%
북 24
 
4.1%
울 24
 
4.1%
동 24
 
4.1%
구 24
 
4.1%
서 24
 
4.1%
강 24
 
4.1%
시 24
 
4.1%
Other values (25) 150
25.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 318
54.2%
Other Punctuation 132
22.5%
Space Separator 111
 
18.9%
Dash Punctuation 26
 
4.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
북 24
 
7.5%
울 24
 
7.5%
동 24
 
7.5%
구 24
 
7.5%
서 24
 
7.5%
강 24
 
7.5%
시 24
 
7.5%
별 24
 
7.5%
특 24
 
7.5%
유 16
 
5.0%
Other values (22) 86
27.0%
Other Punctuation
ValueCountFrequency (%)
* 132
100.0%
Space Separator
ValueCountFrequency (%)
111
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 318
54.2%
Common 269
45.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
북 24
 
7.5%
울 24
 
7.5%
동 24
 
7.5%
구 24
 
7.5%
서 24
 
7.5%
강 24
 
7.5%
시 24
 
7.5%
별 24
 
7.5%
특 24
 
7.5%
유 16
 
5.0%
Other values (22) 86
27.0%
Common
ValueCountFrequency (%)
* 132
49.1%
111
41.3%
- 26
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 318
54.2%
ASCII 269
45.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 132
49.1%
111
41.3%
- 26
 
9.7%
Hangul
ValueCountFrequency (%)
북 24
 
7.5%
울 24
 
7.5%
동 24
 
7.5%
구 24
 
7.5%
서 24
 
7.5%
강 24
 
7.5%
시 24
 
7.5%
별 24
 
7.5%
특 24
 
7.5%
유 16
 
5.0%
Other values (22) 86
27.0%

도로명주소
Text

MISSING 

Distinct20
Distinct (%)87.0%
Missing1
Missing (%)4.2%
Memory size324.0 B
2024-05-11T03:34:51.027515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length37
Mean length30.347826
Min length22

Characters and Unicode

Total characters698
Distinct characters54
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

Unique17 ?
Unique (%)73.9%

Sample

1st row서울특별시 강북구 도봉로 *** (번동)
2nd row서울특별시 강북구 한천로***길 **, ***호 (번동,유니온빌딩)
3rd row서울특별시 강북구 인수봉로**길 ** (수유동,*층)
4th row서울특별시 강북구 도봉로**길 **-* (미아동)
5th row서울특별시 강북구 덕릉로 **, *호 (수유동,*층)
ValueCountFrequency (%)
서울특별시 23
17.0%
23
17.0%
강북구 23
17.0%
수유동 11
8.1%
호 9
 
6.7%
층 5
 
3.7%
번동 4
 
3.0%
덕릉로 4
 
3.0%
한천로 4
 
3.0%
도봉로**길 4
 
3.0%
Other values (18) 25
18.5%
2024-05-11T03:34:51.970248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 121
17.3%
118
16.9%
서 23
 
3.3%
구 23
 
3.3%
) 23
 
3.3%
동 23
 
3.3%
( 23
 
3.3%
로 23
 
3.3%
북 23
 
3.3%
강 23
 
3.3%
Other values (44) 275
39.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 385
55.2%
Other Punctuation 140
 
20.1%
Space Separator 118
 
16.9%
Close Punctuation 23
 
3.3%
Open Punctuation 23
 
3.3%
Dash Punctuation 9
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 23
 
6.0%
구 23
 
6.0%
동 23
 
6.0%
로 23
 
6.0%
북 23
 
6.0%
강 23
 
6.0%
시 23
 
6.0%
별 23
 
6.0%
특 23
 
6.0%
울 23
 
6.0%
Other values (38) 155
40.3%
Other Punctuation
ValueCountFrequency (%)
* 121
86.4%
, 19
 
13.6%
Space Separator
ValueCountFrequency (%)
118
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 385
55.2%
Common 313
44.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 23
 
6.0%
구 23
 
6.0%
동 23
 
6.0%
로 23
 
6.0%
북 23
 
6.0%
강 23
 
6.0%
시 23
 
6.0%
별 23
 
6.0%
특 23
 
6.0%
울 23
 
6.0%
Other values (38) 155
40.3%
Common
ValueCountFrequency (%)
* 121
38.7%
118
37.7%
) 23
 
7.3%
( 23
 
7.3%
, 19
 
6.1%
- 9
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 385
55.2%
ASCII 313
44.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 121
38.7%
118
37.7%
) 23
 
7.3%
( 23
 
7.3%
, 19
 
6.1%
- 9
 
2.9%
Hangul
ValueCountFrequency (%)
서 23
 
6.0%
구 23
 
6.0%
동 23
 
6.0%
로 23
 
6.0%
북 23
 
6.0%
강 23
 
6.0%
시 23
 
6.0%
별 23
 
6.0%
특 23
 
6.0%
울 23
 
6.0%
Other values (38) 155
40.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)71.4%
Missing10
Missing (%)41.7%
Infinite0
Infinite (%)0.0%
Mean1083.8571
Minimum1024
Maximum1135
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-05-11T03:34:52.304773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1024
5-th percentile1050.65
Q11070
median1073.5
Q31103.5
95-th percentile1129.15
Maximum1135
Range111
Interquartile range (IQR)33.5

Descriptive statistics

Standard deviation30.257503
Coefficient of variation (CV)0.027916505
Kurtosis0.080038126
Mean1083.8571
Median Absolute Deviation (MAD)7
Skewness0.22019165
Sum15174
Variance915.51648
MonotonicityNot monotonic
2024-05-11T03:34:52.625982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1070 4
 
16.7%
1126 2
 
8.3%
1077 1
 
4.2%
1080 1
 
4.2%
1024 1
 
4.2%
1081 1
 
4.2%
1065 1
 
4.2%
1069 1
 
4.2%
1135 1
 
4.2%
1111 1
 
4.2%
(Missing) 10
41.7%
ValueCountFrequency (%)
1024 1
 
4.2%
1065 1
 
4.2%
1069 1
 
4.2%
1070 4
16.7%
1077 1
 
4.2%
1080 1
 
4.2%
1081 1
 
4.2%
1111 1
 
4.2%
1126 2
8.3%
1135 1
 
4.2%
ValueCountFrequency (%)
1135 1
 
4.2%
1126 2
8.3%
1111 1
 
4.2%
1081 1
 
4.2%
1080 1
 
4.2%
1077 1
 
4.2%
1070 4
16.7%
1069 1
 
4.2%
1065 1
 
4.2%
1024 1
 
4.2%

사업장명
Text

Distinct22
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-05-11T03:34:53.181375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length6.8333333
Min length3

Characters and Unicode

Total characters164
Distinct characters96
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

Unique20 ?
Unique (%)83.3%

Sample

1st row정준빌딩
2nd row(주)미나또시스템
3rd row유진교역
4th row솔루션스테크놀러지
5th row스타소프트
ValueCountFrequency (%)
솔루션스테크놀러지 2
 
6.2%
스타소프트 2
 
6.2%
정준빌딩 1
 
3.1%
칠드런 1
 
3.1%
1
 
3.1%
크리에이티브 1
 
3.1%
노란천막 1
 
3.1%
eunah 1
 
3.1%
아마루 1
 
3.1%
인우엔터테인먼트 1
 
3.1%
Other values (20) 20
62.5%
2024-05-11T03:34:54.050345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8
 
4.9%
트 8
 
4.9%
스 7
 
4.3%
소 6
 
3.7%
프 5
 
3.0%
테 5
 
3.0%
인 4
 
2.4%
주 4
 
2.4%
먼 3
 
1.8%
리 3
 
1.8%
Other values (86) 111
67.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 130
79.3%
Lowercase Letter 12
 
7.3%
Space Separator 8
 
4.9%
Uppercase Letter 7
 
4.3%
Open Punctuation 3
 
1.8%
Close Punctuation 3
 
1.8%
Other Punctuation 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
트 8
 
6.2%
스 7
 
5.4%
소 6
 
4.6%
프 5
 
3.8%
테 5
 
3.8%
인 4
 
3.1%
주 4
 
3.1%
먼 3
 
2.3%
리 3
 
2.3%
유 3
 
2.3%
Other values (64) 82
63.1%
Lowercase Letter
ValueCountFrequency (%)
a 2
16.7%
m 1
8.3%
e 1
8.3%
i 1
8.3%
n 1
8.3%
x 1
8.3%
p 1
8.3%
s 1
8.3%
o 1
8.3%
f 1
8.3%
Uppercase Letter
ValueCountFrequency (%)
E 1
14.3%
N 1
14.3%
U 1
14.3%
A 1
14.3%
H 1
14.3%
G 1
14.3%
M 1
14.3%
Space Separator
ValueCountFrequency (%)
8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 130
79.3%
Latin 19
 
11.6%
Common 15
 
9.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
트 8
 
6.2%
스 7
 
5.4%
소 6
 
4.6%
프 5
 
3.8%
테 5
 
3.8%
인 4
 
3.1%
주 4
 
3.1%
먼 3
 
2.3%
리 3
 
2.3%
유 3
 
2.3%
Other values (64) 82
63.1%
Latin
ValueCountFrequency (%)
a 2
 
10.5%
E 1
 
5.3%
N 1
 
5.3%
U 1
 
5.3%
A 1
 
5.3%
H 1
 
5.3%
G 1
 
5.3%
m 1
 
5.3%
e 1
 
5.3%
i 1
 
5.3%
Other values (8) 8
42.1%
Common
ValueCountFrequency (%)
8
53.3%
( 3
 
20.0%
) 3
 
20.0%
& 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 130
79.3%
ASCII 34
 
20.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8
23.5%
( 3
 
8.8%
) 3
 
8.8%
a 2
 
5.9%
E 1
 
2.9%
N 1
 
2.9%
U 1
 
2.9%
A 1
 
2.9%
& 1
 
2.9%
H 1
 
2.9%
Other values (12) 12
35.3%
Hangul
ValueCountFrequency (%)
트 8
 
6.2%
스 7
 
5.4%
소 6
 
4.6%
프 5
 
3.8%
테 5
 
3.8%
인 4
 
3.1%
주 4
 
3.1%
먼 3
 
2.3%
리 3
 
2.3%
유 3
 
2.3%
Other values (64) 82
63.1%

최종수정일자
Date

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum2008-01-23 10:27:03
Maximum2020-12-31 17:07:19
2024-05-11T03:34:54.529681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:34:55.119310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

데이터갱신구분
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
U
15 
I
9 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 15
62.5%
I 9
37.5%

Length

2024-05-11T03:34:55.608064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:34:55.922551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 15
62.5%
i 9
37.5%

데이터갱신일자
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
2021-01-02 02:40:00.0
15 
2018-08-31 23:59:59.0
9 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2018-08-31 23:59:59.0
2nd row2021-01-02 02:40:00.0
3rd row2018-08-31 23:59:59.0
4th row2021-01-02 02:40:00.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2021-01-02 02:40:00.0 15
62.5%
2018-08-31 23:59:59.0 9
37.5%

Length

2024-05-11T03:34:56.221901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:34:56.636029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-01-02 15
31.2%
02:40:00.0 15
31.2%
2018-08-31 9
18.8%
23:59:59.0 9
18.8%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)78.3%
Missing1
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean201990.35
Minimum200785.23
Maximum203757.29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-05-11T03:34:57.153410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200785.23
5-th percentile201269.51
Q1201779.21
median201942.87
Q3202113.65
95-th percentile202803.18
Maximum203757.29
Range2972.0569
Interquartile range (IQR)334.43958

Descriptive statistics

Standard deviation569.36759
Coefficient of variation (CV)0.0028187861
Kurtosis3.9915727
Mean201990.35
Median Absolute Deviation (MAD)182.03143
Skewness1.1409756
Sum4645778.1
Variance324179.46
MonotonicityNot monotonic
2024-05-11T03:34:57.687081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
201977.364158159 4
16.7%
201885.898946707 2
 
8.3%
201797.572535287 2
 
8.3%
202227.676099973 1
 
4.2%
200785.228384458 1
 
4.2%
201505.406518175 1
 
4.2%
202804.371030562 1
 
4.2%
202138.65187926 1
 
4.2%
202168.472569608 1
 
4.2%
201720.686531552 1
 
4.2%
Other values (8) 8
33.3%
ValueCountFrequency (%)
200785.228384458 1
4.2%
201243.299028952 1
4.2%
201505.406518175 1
4.2%
201664.571652466 1
4.2%
201720.686531552 1
4.2%
201760.840899656 1
4.2%
201797.572535287 2
8.3%
201885.898946707 2
8.3%
201901.225842692 1
4.2%
201942.872328818 1
4.2%
ValueCountFrequency (%)
203757.285284697 1
 
4.2%
202804.371030562 1
 
4.2%
202792.494497343 1
 
4.2%
202227.676099973 1
 
4.2%
202168.472569608 1
 
4.2%
202138.65187926 1
 
4.2%
202088.640720944 1
 
4.2%
201977.364158159 4
16.7%
201942.872328818 1
 
4.2%
201901.225842692 1
 
4.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)78.3%
Missing1
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean459157.82
Minimum456530.92
Maximum460493.37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-05-11T03:34:58.211931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum456530.92
5-th percentile458207.83
Q1458976.12
median459196.6
Q3459626
95-th percentile459993.07
Maximum460493.37
Range3962.4497
Interquartile range (IQR)649.87387

Descriptive statistics

Standard deviation813.60466
Coefficient of variation (CV)0.0017719499
Kurtosis4.0087043
Mean459157.82
Median Absolute Deviation (MAD)313.22899
Skewness-1.413785
Sum10560630
Variance661952.55
MonotonicityNot monotonic
2024-05-11T03:34:58.669642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
459993.074907442 4
16.7%
458207.829751649 2
 
8.3%
459153.577561431 2
 
8.3%
459509.833332372 1
 
4.2%
459212.601375624 1
 
4.2%
458926.401526974 1
 
4.2%
459196.604341862 1
 
4.2%
459182.283278113 1
 
4.2%
459321.747389216 1
 
4.2%
459256.314653965 1
 
4.2%
Other values (8) 8
33.3%
ValueCountFrequency (%)
456530.919262837 1
4.2%
458207.829751649 2
8.3%
458490.883652834 1
4.2%
458685.328693807 1
4.2%
458926.401526974 1
4.2%
459025.84194336 1
4.2%
459046.125539538 1
4.2%
459153.577561431 2
8.3%
459182.283278113 1
4.2%
459196.604341862 1
4.2%
ValueCountFrequency (%)
460493.368944554 1
 
4.2%
459993.074907442 4
16.7%
459742.157881228 1
 
4.2%
459509.833332372 1
 
4.2%
459321.747389216 1
 
4.2%
459314.389044069 1
 
4.2%
459256.314653965 1
 
4.2%
459212.601375624 1
 
4.2%
459196.604341862 1
 
4.2%
459182.283278113 1
 
4.2%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
게임물배급업
24 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
게임물배급업 24
100.0%

Length

2024-05-11T03:34:59.083763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:34:59.357281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
게임물배급업 24
100.0%

문화사업자구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
유통관련업
24 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 24
100.0%

Length

2024-05-11T03:34:59.725136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:35:00.038453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 24
100.0%

총층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
22 
23
 
1
4
 
1

Length

Max length4
Median length4
Mean length3.7916667
Min length1

Unique

Unique2 ?
Unique (%)8.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 22
91.7%
23 1
 
4.2%
4 1
 
4.2%

Length

2024-05-11T03:35:00.461527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:35:00.858517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
91.7%
23 1
 
4.2%
4 1
 
4.2%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

제작취급품목내용
Text

Distinct17
Distinct (%)70.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-05-11T03:35:01.292992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length7.9166667
Min length3

Characters and Unicode

Total characters190
Distinct characters52
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

Unique11 ?
Unique (%)45.8%

Sample

1st row게임물
2nd row아케이드
3rd row청소년게임기 및 가정용게임기
4th rowPC온라인
5th rowPC온라인게임
ValueCountFrequency (%)
온라인게임 4
12.9%
게임물 3
 
9.7%
게임소프트웨어 3
 
9.7%
게임배급 2
 
6.5%
보드게임 2
 
6.5%
모바일 2
 
6.5%
pc온라인게임 2
 
6.5%
소프트웨어 2
 
6.5%
pc온라인 1
 
3.2%
tcg게임 1
 
3.2%
Other values (9) 9
29.0%
2024-05-11T03:35:02.327949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
게 24
 
12.6%
임 24
 
12.6%
인 10
 
5.3%
온 9
 
4.7%
라 9
 
4.7%
소 8
 
4.2%
어 7
 
3.7%
트 7
 
3.7%
7
 
3.7%
웨 6
 
3.2%
Other values (42) 79
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 164
86.3%
Uppercase Letter 11
 
5.8%
Space Separator 7
 
3.7%
Other Punctuation 6
 
3.2%
Close Punctuation 1
 
0.5%
Open Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
게 24
14.6%
임 24
14.6%
인 10
 
6.1%
온 9
 
5.5%
라 9
 
5.5%
소 8
 
4.9%
어 7
 
4.3%
트 7
 
4.3%
웨 6
 
3.7%
프 6
 
3.7%
Other values (34) 54
32.9%
Uppercase Letter
ValueCountFrequency (%)
C 5
45.5%
P 4
36.4%
G 1
 
9.1%
T 1
 
9.1%
Space Separator
ValueCountFrequency (%)
7
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 164
86.3%
Common 15
 
7.9%
Latin 11
 
5.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
게 24
14.6%
임 24
14.6%
인 10
 
6.1%
온 9
 
5.5%
라 9
 
5.5%
소 8
 
4.9%
어 7
 
4.3%
트 7
 
4.3%
웨 6
 
3.7%
프 6
 
3.7%
Other values (34) 54
32.9%
Common
ValueCountFrequency (%)
7
46.7%
, 6
40.0%
) 1
 
6.7%
( 1
 
6.7%
Latin
ValueCountFrequency (%)
C 5
45.5%
P 4
36.4%
G 1
 
9.1%
T 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 164
86.3%
ASCII 26
 
13.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
게 24
14.6%
임 24
14.6%
인 10
 
6.1%
온 9
 
5.5%
라 9
 
5.5%
소 8
 
4.9%
어 7
 
4.3%
트 7
 
4.3%
웨 6
 
3.7%
프 6
 
3.7%
Other values (34) 54
32.9%
ASCII
ValueCountFrequency (%)
7
26.9%
, 6
23.1%
C 5
19.2%
P 4
15.4%
) 1
 
3.8%
( 1
 
3.8%
G 1
 
3.8%
T 1
 
3.8%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)72.7%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean51.223182
Minimum0
Maximum323.6
Zeros1
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-05-11T03:35:02.707858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.3
Q110
median25.33
Q367.855
95-th percentile117.0335
Maximum323.6
Range323.6
Interquartile range (IQR)57.855

Descriptive statistics

Standard deviation70.319935
Coefficient of variation (CV)1.3728147
Kurtosis10.964738
Mean51.223182
Median Absolute Deviation (MAD)22.03
Skewness2.9828144
Sum1126.91
Variance4944.8933
MonotonicityNot monotonic
2024-05-11T03:35:03.089309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3.3 4
16.7%
10.0 3
12.5%
20.0 2
 
8.3%
98.67 1
 
4.2%
24.0 1
 
4.2%
118.0 1
 
4.2%
323.6 1
 
4.2%
89.19 1
 
4.2%
0.0 1
 
4.2%
63.17 1
 
4.2%
Other values (6) 6
25.0%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
0.0 1
 
4.2%
3.3 4
16.7%
10.0 3
12.5%
20.0 2
8.3%
24.0 1
 
4.2%
26.66 1
 
4.2%
36.78 1
 
4.2%
59.5 1
 
4.2%
63.17 1
 
4.2%
63.7 1
 
4.2%
ValueCountFrequency (%)
323.6 1
4.2%
118.0 1
4.2%
98.67 1
4.2%
89.19 1
4.2%
71.2 1
4.2%
69.24 1
4.2%
63.7 1
4.2%
63.17 1
4.2%
59.5 1
4.2%
36.78 1
4.2%

지상층수
Categorical

Distinct4
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
19 
2
2 
3
2 
17
 
1

Length

Max length4
Median length4
Mean length3.4166667
Min length1

Unique

Unique1 ?
Unique (%)4.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 19
79.2%
2 2
 
8.3%
3 2
 
8.3%
17 1
 
4.2%

Length

2024-05-11T03:35:03.522793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:35:03.877012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
79.2%
2 2
 
8.3%
3 2
 
8.3%
17 1
 
4.2%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
22 
5
 
1
1
 
1

Length

Max length4
Median length4
Mean length3.75
Min length1

Unique

Unique2 ?
Unique (%)8.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 22
91.7%
5 1
 
4.2%
1 1
 
4.2%

Length

2024-05-11T03:35:04.579716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:35:04.812377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
91.7%
5 1
 
4.2%
1 1
 
4.2%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

총게임기수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03080000CDFF224112200000000120000527<NA>3폐업3폐업20080122<NA><NA><NA><NA><NA>142864서울특별시 강북구 번동 ***-**번지서울특별시 강북구 도봉로 *** (번동)<NA>정준빌딩2008-01-23 10:27:03I2018-08-31 23:59:59.0<NA>202227.6761459509.833332게임물배급업유통관련업<NA><NA>게임물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13080000CDFF224112200200000120020110<NA>3폐업3폐업20080204<NA><NA><NA><NA><NA><NA>서울특별시 강북구 번동 *** 유니온빌딩 ***호서울특별시 강북구 한천로***길 **, ***호 (번동,유니온빌딩)<NA>(주)미나또시스템2020-12-31 11:21:09U2021-01-02 02:40:00.0<NA>203757.285285458490.883653게임물배급업유통관련업<NA><NA>아케이드0.0<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>
23080000CDFF224112200700000120070806<NA>3폐업3폐업20120702<NA><NA><NA><NA><NA>142875서울특별시 강북구 수유동 ***-***번지 *층서울특별시 강북구 인수봉로**길 ** (수유동,*층)<NA>유진교역2012-07-02 13:19:08I2018-08-31 23:59:59.0<NA>201243.299029458685.328694게임물배급업유통관련업<NA><NA>청소년게임기 및 가정용게임기<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33080000CDFF224112200900000120090213<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 ***-*서울특별시 강북구 도봉로**길 **-* (미아동)1126솔루션스테크놀러지2020-12-31 11:26:46U2021-01-02 02:40:00.0<NA>201885.898947458207.829752게임물배급업유통관련업<NA><NA>PC온라인10.0<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>
43080000CDFF224112200900000220090227<NA>3폐업3폐업20091231<NA><NA><NA><NA><NA>142891서울특별시 강북구 수유동 **-**번지 *층 *호서울특별시 강북구 덕릉로 **, *호 (수유동,*층)<NA>스타소프트2012-11-01 13:38:04I2018-08-31 23:59:59.0<NA>201797.572535459153.577561게임물배급업유통관련업<NA><NA>PC온라인게임20.0<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>
53080000CDFF224112200900000320090227<NA>3폐업3폐업20091231<NA><NA><NA>031-534-3861<NA><NA>서울특별시 강북구 수유동 **-**서울특별시 강북구 덕릉로 ** (수유동)<NA>스타소프트2020-12-31 14:04:26U2021-01-02 02:40:00.0<NA>201797.572535459153.577561게임물배급업유통관련업<NA><NA>PC온라인게임20.02<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63080000CDFF224112200900000420090213<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 ***-*서울특별시 강북구 도봉로**길 **-* (미아동)1126솔루션스테크놀러지2020-12-31 16:02:45U2021-01-02 02:40:00.0<NA>201885.898947458207.829752게임물배급업유통관련업<NA><NA>온라인게임개발및컨텐츠운영10.02<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73080000CDFF224112201000000120100212<NA>1영업/정상13영업중<NA><NA><NA><NA>070-8940-9317<NA><NA>서울특별시 강북구 수유동 ***-**서울특별시 강북구 한천로***길 **-** (수유동)<NA>유비소프트2020-12-31 16:05:01U2021-01-02 02:40:00.0<NA>201664.571652460493.368945게임물배급업유통관련업<NA><NA>소프트웨어,인터넷게임물69.243<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83080000CDFF224112201000000220090408<NA>3폐업3폐업20130401<NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 **-* 세일빌딩서울특별시 강북구 노해로 **, 세일빌딩 *층 (수유동)1077동양엔터테인먼트2020-12-31 16:08:26U2021-01-02 02:40:00.0<NA>201901.225843459742.157881게임물배급업유통관련업<NA><NA>게임물59.5<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93080000CDFF224112201000000320101229<NA>3폐업3폐업20121113<NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 **-*번지 이태크밸리 ****호서울특별시 강북구 도봉로**길 *, ****호 (수유동,이태크밸리)<NA>노스리버소프트 주식회사2012-11-13 18:03:21I2018-08-31 23:59:59.0<NA>201942.872329459046.12554게임물배급업유통관련업23<NA>소셜게임,온라인게임36.78175<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
143080000CDFF224112201300000120130225<NA>3폐업3폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 ***-**서울특별시 강북구 인수봉로**가길 ** (수유동)1024크리에이티브 & 칠드런2020-12-31 16:41:43U2021-01-02 02:40:00.0<NA>200785.228384459212.601376게임물배급업유통관련업<NA><NA>게임소프트웨어63.17<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
153080000CDFF224112201300000220130404<NA>3폐업3폐업20160727<NA><NA><NA>903-7701<NA><NA>서울특별시 강북구 수유동 **-**번지서울특별시 강북구 수유로 ** (수유동)1081유니전자2016-07-28 14:25:43I2018-08-31 23:59:59.0<NA>201720.686532459256.314654게임물배급업유통관련업<NA><NA>게임소프트웨어98.67<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
163080000CDFF224112201400000120141106<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3274-1511<NA><NA>서울특별시 강북구 번동 ***-*서울특별시 강북구 오패산로**길 **, *층 (번동)1065(주) 승병2020-12-31 16:43:15U2021-01-02 02:40:00.0<NA>202168.47257459321.747389게임물배급업유통관련업<NA><NA>소프트웨어89.19<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
173080000CDFF224112201400000220141124<NA>3폐업3폐업20190514<NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 ***-* 현광빌딩*층 **호-*서울특별시 강북구 한천로 **** (수유동, 현광빌딩*층 **호-*)1070미래 엔터테인먼트2020-12-31 16:44:47U2021-01-02 02:40:00.0<NA>201977.364158459993.074907게임물배급업유통관련업<NA><NA>보드게임, 온라인게임3.3<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
183080000CDFF224112201500000120150216<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 번동 ***-** ***호서울특별시 강북구 덕릉로 ***, ***호 (번동)1069게임 연구소2020-12-31 16:48:44U2021-01-02 02:40:00.0<NA>202138.651879459182.283278게임물배급업유통관련업<NA><NA>보드게임, 온라인게임3.3<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
193080000CDFF224112201500000220141222<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 ***-* *층 **호-*서울특별시 강북구 한천로 ****, *층 (수유동, 현광빌딩 **호-*)1070인우엔터테인먼트2020-12-31 16:53:52U2021-01-02 02:40:00.0<NA>201977.364158459993.074907게임물배급업유통관련업<NA><NA>게임물323.6<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
203080000CDFF224112201500000320150817<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 ***-* 현광빌딩*층 **호-*서울특별시 강북구 한천로 **** (수유동, 현광빌딩*층 **호-*)1070아마루2020-12-31 17:00:33U2021-01-02 02:40:00.0<NA>201977.364158459993.074907게임물배급업유통관련업<NA><NA>게임물(PC,모바일용)3.3<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
213080000CDFF224112201500000520151214<NA>1영업/정상13영업중<NA><NA><NA><NA>02-980-6929<NA><NA>서울특별시 강북구 번동 ***-**번지서울특별시 강북구 덕릉로 ***-* (번동)1135EUNAH2015-12-14 10:56:56I2018-08-31 23:59:59.0<NA>202804.371031459196.604342게임물배급업유통관련업<NA><NA>TCG게임 모바일118.0<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>
223080000CDFF224112201600000120160608<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 ***-*서울특별시 강북구 한천로 ****, *층 **-*호 (수유동, 현광빌딩)1070노란천막2020-12-31 17:05:34U2021-01-02 02:40:00.0<NA>201977.364158459993.074907게임물배급업유통관련업<NA><NA>온라인게임3.3<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
233080000CDFF224112201800000120180831<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 ***-*** 건우빌딩서울특별시 강북구 삼양로 ***, 건우빌딩 *층 ***-*호 (수유동)1111젤리피쉬소프트2020-12-31 17:07:19U2021-01-02 02:40:00.0<NA>201505.406518458926.401527게임물배급업유통관련업<NA><NA>모바일 게임소프트웨어24.0<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>