Overview

Dataset statistics

Number of variables56
Number of observations1057
Missing cells30801
Missing cells (%)52.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory495.6 KiB
Average record size in memory480.1 B

Variable types

Categorical13
Text5
DateTime4
Numeric12
Unsupported16
Boolean6

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
Author송파구
URLhttps://data.seoul.go.kr/dataList/OA-17265/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
건물용도명 is highly imbalanced (63.0%)Imbalance
조명시설조도 is highly imbalanced (77.1%)Imbalance
청소년실여부 is highly imbalanced (78.7%)Imbalance
총게임기수 is highly imbalanced (57.3%)Imbalance
지역구분명 is highly imbalanced (51.2%)Imbalance
인허가취소일자 has 1011 (95.6%) missing valuesMissing
폐업일자 has 535 (50.6%) missing valuesMissing
휴업시작일자 has 1057 (100.0%) missing valuesMissing
휴업종료일자 has 1057 (100.0%) missing valuesMissing
재개업일자 has 1057 (100.0%) missing valuesMissing
전화번호 has 836 (79.1%) missing valuesMissing
소재지면적 has 1057 (100.0%) missing valuesMissing
소재지우편번호 has 972 (92.0%) missing valuesMissing
도로명주소 has 14 (1.3%) missing valuesMissing
도로명우편번호 has 613 (58.0%) missing valuesMissing
업태구분명 has 1057 (100.0%) missing valuesMissing
좌표정보(X) has 13 (1.2%) missing valuesMissing
좌표정보(Y) has 13 (1.2%) missing valuesMissing
총층수 has 569 (53.8%) missing valuesMissing
제작취급품목내용 has 1057 (100.0%) missing valuesMissing
시설면적 has 222 (21.0%) missing valuesMissing
지상층수 has 554 (52.4%) missing valuesMissing
지하층수 has 453 (42.9%) missing valuesMissing
통로너비 has 920 (87.0%) missing valuesMissing
노래방실수 has 615 (58.2%) missing valuesMissing
청소년실수 has 905 (85.6%) missing valuesMissing
비상계단여부 has 951 (90.0%) missing valuesMissing
비상구여부 has 946 (89.5%) missing valuesMissing
자동환기여부 has 959 (90.7%) missing valuesMissing
청소년실여부 has 850 (80.4%) missing valuesMissing
특수조명여부 has 979 (92.6%) missing valuesMissing
방음시설여부 has 959 (90.7%) missing valuesMissing
비디오재생기명 has 1057 (100.0%) missing valuesMissing
조명시설유무 has 1057 (100.0%) missing valuesMissing
음향시설여부 has 1057 (100.0%) missing valuesMissing
편의시설여부 has 1057 (100.0%) missing valuesMissing
소방시설여부 has 1057 (100.0%) missing valuesMissing
기존게임업외업종명 has 1057 (100.0%) missing valuesMissing
제공게임물명 has 1057 (100.0%) missing valuesMissing
공연장형태구분명 has 1057 (100.0%) missing valuesMissing
품목명 has 1057 (100.0%) missing valuesMissing
최초등록시점 has 1057 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 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
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
총층수 has 345 (32.6%) zerosZeros
시설면적 has 348 (32.9%) zerosZeros
지상층수 has 343 (32.5%) zerosZeros
지하층수 has 312 (29.5%) zerosZeros
통로너비 has 85 (8.0%) zerosZeros
청소년실수 has 78 (7.4%) zerosZeros

Reproduction

Analysis started2024-05-11 06:00:46.225281
Analysis finished2024-05-11 06:00:47.568314
Duration1.34 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
3230000
1057 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3230000
2nd row3230000
3rd row3230000
4th row3230000
5th row3230000

Common Values

ValueCountFrequency (%)
3230000 1057
100.0%

Length

2024-05-11T15:00:47.661751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:00:47.780358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3230000 1057
100.0%

관리번호
Text

UNIQUE 

Distinct1057
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
2024-05-11T15:00:48.024269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters21140
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

Unique1057 ?
Unique (%)100.0%

Sample

1st rowCDFF3242051992000001
2nd rowCDFF3242051992000002
3rd rowCDFF3242051992000003
4th rowCDFF3242051992000004
5th rowCDFF3242051992000005
ValueCountFrequency (%)
cdff3242051992000001 1
 
0.1%
cdff3242052007000009 1
 
0.1%
cdff3242052007000025 1
 
0.1%
cdff3242052006000022 1
 
0.1%
cdff3242052006000023 1
 
0.1%
cdff3242052006000024 1
 
0.1%
cdff3242052006000025 1
 
0.1%
cdff3242052006000026 1
 
0.1%
cdff3242052007000001 1
 
0.1%
cdff3242052007000002 1
 
0.1%
Other values (1047) 1047
99.1%
2024-05-11T15:00:48.498244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 7033
33.3%
2 3356
15.9%
F 2114
 
10.0%
3 1435
 
6.8%
4 1338
 
6.3%
5 1299
 
6.1%
1 1060
 
5.0%
C 1057
 
5.0%
D 1057
 
5.0%
9 739
 
3.5%
Other values (3) 652
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16912
80.0%
Uppercase Letter 4228
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7033
41.6%
2 3356
19.8%
3 1435
 
8.5%
4 1338
 
7.9%
5 1299
 
7.7%
1 1060
 
6.3%
9 739
 
4.4%
8 266
 
1.6%
6 204
 
1.2%
7 182
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
F 2114
50.0%
C 1057
25.0%
D 1057
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 16912
80.0%
Latin 4228
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7033
41.6%
2 3356
19.8%
3 1435
 
8.5%
4 1338
 
7.9%
5 1299
 
7.7%
1 1060
 
6.3%
9 739
 
4.4%
8 266
 
1.6%
6 204
 
1.2%
7 182
 
1.1%
Latin
ValueCountFrequency (%)
F 2114
50.0%
C 1057
25.0%
D 1057
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21140
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7033
33.3%
2 3356
15.9%
F 2114
 
10.0%
3 1435
 
6.8%
4 1338
 
6.3%
5 1299
 
6.1%
1 1060
 
5.0%
C 1057
 
5.0%
D 1057
 
5.0%
9 739
 
3.5%
Other values (3) 652
 
3.1%

인허가일자
Date

Distinct817
Distinct (%)77.3%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
Minimum1992-05-09 00:00:00
Maximum2024-02-27 00:00:00
2024-05-11T15:00:48.742795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:00:48.947253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Real number (ℝ)

MISSING 

Distinct46
Distinct (%)100.0%
Missing1011
Missing (%)95.6%
Infinite0
Infinite (%)0.0%
Mean20155805
Minimum20011102
Maximum20220926
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.4 KiB
2024-05-11T15:00:49.183179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20011102
5-th percentile20083441
Q120133265
median20161116
Q320187942
95-th percentile20208636
Maximum20220926
Range209824
Interquartile range (IQR)54676.5

Descriptive statistics

Standard deviation42650.647
Coefficient of variation (CV)0.0021160478
Kurtosis1.6975341
Mean20155805
Median Absolute Deviation (MAD)29391.5
Skewness-1.1030772
Sum9.2716703 × 108
Variance1.8190777 × 109
MonotonicityNot monotonic
2024-05-11T15:00:49.438476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
20161116 1
 
0.1%
20130213 1
 
0.1%
20201201 1
 
0.1%
20170217 1
 
0.1%
20150831 1
 
0.1%
20150615 1
 
0.1%
20161031 1
 
0.1%
20190801 1
 
0.1%
20160207 1
 
0.1%
20161231 1
 
0.1%
Other values (36) 36
 
3.4%
(Missing) 1011
95.6%
ValueCountFrequency (%)
20011102 1
0.1%
20081002 1
0.1%
20081117 1
0.1%
20090414 1
0.1%
20090623 1
0.1%
20090929 1
0.1%
20100120 1
0.1%
20120829 1
0.1%
20121012 1
0.1%
20121030 1
0.1%
ValueCountFrequency (%)
20220926 1
0.1%
20220805 1
0.1%
20211115 1
0.1%
20201201 1
0.1%
20200424 1
0.1%
20200331 1
0.1%
20200129 1
0.1%
20190925 1
0.1%
20190912 1
0.1%
20190806 1
0.1%

영업상태코드
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
3
490 
1
470 
4
97 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 490
46.4%
1 470
44.5%
4 97
 
9.2%

Length

2024-05-11T15:00:49.656157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:00:49.824821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 490
46.4%
1 470
44.5%
4 97
 
9.2%

영업상태명
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
폐업
490 
영업/정상
470 
취소/말소/만료/정지/중지
97 

Length

Max length14
Median length5
Mean length4.4351939
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 490
46.4%
영업/정상 470
44.5%
취소/말소/만료/정지/중지 97
 
9.2%

Length

2024-05-11T15:00:49.997950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:00:50.148945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 490
46.4%
영업/정상 470
44.5%
취소/말소/만료/정지/중지 97
 
9.2%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
03
490 
13
469 
31
54 
35
 
43
BBBB
 
1

Length

Max length4
Median length2
Mean length2.0018921
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row03
2nd row03
3rd row13
4th row03
5th row13

Common Values

ValueCountFrequency (%)
03 490
46.4%
13 469
44.4%
31 54
 
5.1%
35 43
 
4.1%
BBBB 1
 
0.1%

Length

2024-05-11T15:00:50.347968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:00:50.546265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03 490
46.4%
13 469
44.4%
31 54
 
5.1%
35 43
 
4.1%
bbbb 1
 
0.1%

상세영업상태명
Categorical

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
폐업
490 
영업중
469 
등록취소
54 
직권말소
 
43
<NA>
 
1

Length

Max length4
Median length3
Mean length2.6291391
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 490
46.4%
영업중 469
44.4%
등록취소 54
 
5.1%
직권말소 43
 
4.1%
<NA> 1
 
0.1%

Length

2024-05-11T15:00:50.737354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:00:50.955376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 490
46.4%
영업중 469
44.4%
등록취소 54
 
5.1%
직권말소 43
 
4.1%
na 1
 
0.1%

폐업일자
Date

MISSING 

Distinct408
Distinct (%)78.2%
Missing535
Missing (%)50.6%
Memory size8.4 KiB
Minimum1999-06-01 00:00:00
Maximum2024-04-18 00:00:00
2024-05-11T15:00:51.147352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:00:51.382493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1057
Missing (%)100.0%
Memory size9.4 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1057
Missing (%)100.0%
Memory size9.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1057
Missing (%)100.0%
Memory size9.4 KiB

전화번호
Text

MISSING 

Distinct217
Distinct (%)98.2%
Missing836
Missing (%)79.1%
Memory size8.4 KiB
2024-05-11T15:00:51.839993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length11
Mean length9.9366516
Min length7

Characters and Unicode

Total characters2196
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique213 ?
Unique (%)96.4%

Sample

1st row02-488-0676
2nd row02-403-7474
3rd row02-424-1422
4th row02-400-3144
5th row02-425-0886
ValueCountFrequency (%)
02-404-6771 2
 
0.9%
02-420-7194 2
 
0.9%
408-2227 2
 
0.9%
02-415-6544 2
 
0.9%
02-424-2608 1
 
0.5%
02-426-0382 1
 
0.5%
02-423-9399 1
 
0.5%
02-419-2226 1
 
0.5%
02-6404-7606 1
 
0.5%
423-3977 1
 
0.5%
Other values (207) 207
93.7%
2024-05-11T15:00:52.423706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 349
15.9%
- 347
15.8%
4 339
15.4%
2 330
15.0%
1 147
6.7%
7 132
 
6.0%
3 132
 
6.0%
8 108
 
4.9%
5 107
 
4.9%
9 104
 
4.7%
Other values (2) 101
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1848
84.2%
Dash Punctuation 347
 
15.8%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 349
18.9%
4 339
18.3%
2 330
17.9%
1 147
8.0%
7 132
 
7.1%
3 132
 
7.1%
8 108
 
5.8%
5 107
 
5.8%
9 104
 
5.6%
6 100
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 347
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2196
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 349
15.9%
- 347
15.8%
4 339
15.4%
2 330
15.0%
1 147
6.7%
7 132
 
6.0%
3 132
 
6.0%
8 108
 
4.9%
5 107
 
4.9%
9 104
 
4.7%
Other values (2) 101
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2196
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 349
15.9%
- 347
15.8%
4 339
15.4%
2 330
15.0%
1 147
6.7%
7 132
 
6.0%
3 132
 
6.0%
8 108
 
4.9%
5 107
 
4.9%
9 104
 
4.7%
Other values (2) 101
 
4.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1057
Missing (%)100.0%
Memory size9.4 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)44.7%
Missing972
Missing (%)92.0%
Infinite0
Infinite (%)0.0%
Mean138975.98
Minimum138110
Maximum150900
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.4 KiB
2024-05-11T15:00:52.678965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum138110
5-th percentile138803.2
Q1138829
median138844
Q3138861
95-th percentile138863.8
Maximum150900
Range12790
Interquartile range (IQR)32

Descriptive statistics

Standard deviation1311.2729
Coefficient of variation (CV)0.0094352489
Kurtosis84.323285
Mean138975.98
Median Absolute Deviation (MAD)16
Skewness9.1628629
Sum11812958
Variance1719436.7
MonotonicityNot monotonic
2024-05-11T15:00:52.892769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
138861 16
 
1.5%
138842 6
 
0.6%
138862 6
 
0.6%
138829 5
 
0.5%
138837 4
 
0.4%
138844 4
 
0.4%
138835 3
 
0.3%
138828 3
 
0.3%
138849 2
 
0.2%
138846 2
 
0.2%
Other values (28) 34
 
3.2%
(Missing) 972
92.0%
ValueCountFrequency (%)
138110 1
0.1%
138800 1
0.1%
138802 2
0.2%
138803 1
0.1%
138804 1
0.1%
138811 1
0.1%
138812 1
0.1%
138813 1
0.1%
138814 1
0.1%
138816 1
0.1%
ValueCountFrequency (%)
150900 1
 
0.1%
138873 1
 
0.1%
138866 2
 
0.2%
138864 1
 
0.1%
138863 1
 
0.1%
138862 6
 
0.6%
138861 16
1.5%
138858 1
 
0.1%
138855 1
 
0.1%
138854 1
 
0.1%

지번주소
Text

Distinct947
Distinct (%)89.6%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
2024-05-11T15:00:53.288946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length38
Mean length22.220435
Min length6

Characters and Unicode

Total characters23487
Distinct characters158
Distinct categories6 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique863 ?
Unique (%)81.6%

Sample

1st row서울특별시 송파구 거여동 222-2번지
2nd row서울특별시 송파구 방이동 111-14번지
3rd row서울특별시 송파구 마천동 158-2번지
4th row서울특별시 송파구 거여동 31-10번지
5th row서울특별시 송파구 마천동 287-6번지
ValueCountFrequency (%)
서울특별시 1056
23.1%
송파구 1055
23.0%
가락동 261
 
5.7%
잠실동 177
 
3.9%
방이동 143
 
3.1%
지층 136
 
3.0%
석촌동 118
 
2.6%
문정동 69
 
1.5%
송파동 66
 
1.4%
삼전동 57
 
1.2%
Other values (980) 1442
31.5%
2024-05-11T15:00:53.891955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4417
18.8%
파 1125
 
4.8%
송 1121
 
4.8%
동 1062
 
4.5%
시 1059
 
4.5%
서 1056
 
4.5%
특 1056
 
4.5%
별 1056
 
4.5%
구 1056
 
4.5%
울 1056
 
4.5%
Other values (148) 9423
40.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13949
59.4%
Space Separator 4417
 
18.8%
Decimal Number 4137
 
17.6%
Dash Punctuation 966
 
4.1%
Uppercase Letter 16
 
0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 1125
 
8.1%
송 1121
 
8.0%
동 1062
 
7.6%
시 1059
 
7.6%
서 1056
 
7.6%
특 1056
 
7.6%
별 1056
 
7.6%
구 1056
 
7.6%
울 1056
 
7.6%
지 910
 
6.5%
Other values (124) 3392
24.3%
Uppercase Letter
ValueCountFrequency (%)
B 5
31.2%
D 2
 
12.5%
C 1
 
6.2%
J 1
 
6.2%
S 1
 
6.2%
I 1
 
6.2%
T 1
 
6.2%
O 1
 
6.2%
W 1
 
6.2%
E 1
 
6.2%
Decimal Number
ValueCountFrequency (%)
1 965
23.3%
2 635
15.3%
8 377
 
9.1%
9 350
 
8.5%
7 346
 
8.4%
3 332
 
8.0%
0 296
 
7.2%
5 285
 
6.9%
4 285
 
6.9%
6 266
 
6.4%
Space Separator
ValueCountFrequency (%)
4417
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 966
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13947
59.4%
Common 9522
40.5%
Latin 16
 
0.1%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 1125
 
8.1%
송 1121
 
8.0%
동 1062
 
7.6%
시 1059
 
7.6%
서 1056
 
7.6%
특 1056
 
7.6%
별 1056
 
7.6%
구 1056
 
7.6%
울 1056
 
7.6%
지 910
 
6.5%
Other values (122) 3390
24.3%
Common
ValueCountFrequency (%)
4417
46.4%
- 966
 
10.1%
1 965
 
10.1%
2 635
 
6.7%
8 377
 
4.0%
9 350
 
3.7%
7 346
 
3.6%
3 332
 
3.5%
0 296
 
3.1%
5 285
 
3.0%
Other values (3) 553
 
5.8%
Latin
ValueCountFrequency (%)
B 5
31.2%
D 2
 
12.5%
C 1
 
6.2%
J 1
 
6.2%
S 1
 
6.2%
I 1
 
6.2%
T 1
 
6.2%
O 1
 
6.2%
W 1
 
6.2%
E 1
 
6.2%
Han
ValueCountFrequency (%)
搾 1
50.0%
講 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13947
59.4%
ASCII 9538
40.6%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4417
46.3%
- 966
 
10.1%
1 965
 
10.1%
2 635
 
6.7%
8 377
 
4.0%
9 350
 
3.7%
7 346
 
3.6%
3 332
 
3.5%
0 296
 
3.1%
5 285
 
3.0%
Other values (14) 569
 
6.0%
Hangul
ValueCountFrequency (%)
파 1125
 
8.1%
송 1121
 
8.0%
동 1062
 
7.6%
시 1059
 
7.6%
서 1056
 
7.6%
특 1056
 
7.6%
별 1056
 
7.6%
구 1056
 
7.6%
울 1056
 
7.6%
지 910
 
6.5%
Other values (122) 3390
24.3%
CJK
ValueCountFrequency (%)
搾 1
50.0%
講 1
50.0%

도로명주소
Text

MISSING 

Distinct965
Distinct (%)92.5%
Missing14
Missing (%)1.3%
Memory size8.4 KiB
2024-05-11T15:00:54.261252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length47
Mean length28.046021
Min length22

Characters and Unicode

Total characters29252
Distinct characters196
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique897 ?
Unique (%)86.0%

Sample

1st row서울특별시 송파구 오금로 569 (거여동)
2nd row서울특별시 송파구 백제고분로48길 8 (방이동)
3rd row서울특별시 송파구 성내천로 223 (마천동)
4th row서울특별시 송파구 오금로 516 (거여동)
5th row서울특별시 송파구 성내천로 302, 지층 (마천동)
ValueCountFrequency (%)
서울특별시 1043
 
18.3%
송파구 1042
 
18.2%
가락동 246
 
4.3%
잠실동 165
 
2.9%
지층 154
 
2.7%
방이동 135
 
2.4%
석촌동 112
 
2.0%
중대로9길 72
 
1.3%
백제고분로7길 69
 
1.2%
문정동 66
 
1.2%
Other values (629) 2610
45.7%
2024-05-11T15:00:54.905858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5047
 
17.3%
송 1234
 
4.2%
파 1205
 
4.1%
동 1097
 
3.8%
시 1047
 
3.6%
서 1043
 
3.6%
특 1043
 
3.6%
별 1043
 
3.6%
구 1043
 
3.6%
울 1043
 
3.6%
Other values (186) 14407
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17523
59.9%
Space Separator 5047
 
17.3%
Decimal Number 3945
 
13.5%
Close Punctuation 1043
 
3.6%
Open Punctuation 1043
 
3.6%
Other Punctuation 477
 
1.6%
Dash Punctuation 147
 
0.5%
Uppercase Letter 27
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
송 1234
 
7.0%
파 1205
 
6.9%
동 1097
 
6.3%
시 1047
 
6.0%
서 1043
 
6.0%
특 1043
 
6.0%
별 1043
 
6.0%
구 1043
 
6.0%
울 1043
 
6.0%
로 1042
 
5.9%
Other values (158) 6683
38.1%
Uppercase Letter
ValueCountFrequency (%)
B 13
48.1%
C 2
 
7.4%
D 2
 
7.4%
S 1
 
3.7%
A 1
 
3.7%
R 1
 
3.7%
E 1
 
3.7%
G 1
 
3.7%
I 1
 
3.7%
T 1
 
3.7%
Other values (3) 3
 
11.1%
Decimal Number
ValueCountFrequency (%)
1 867
22.0%
2 686
17.4%
3 517
13.1%
4 416
10.5%
0 264
 
6.7%
5 257
 
6.5%
9 253
 
6.4%
8 232
 
5.9%
7 232
 
5.9%
6 221
 
5.6%
Space Separator
ValueCountFrequency (%)
5047
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1043
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1043
100.0%
Other Punctuation
ValueCountFrequency (%)
, 477
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 147
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17523
59.9%
Common 11702
40.0%
Latin 27
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
송 1234
 
7.0%
파 1205
 
6.9%
동 1097
 
6.3%
시 1047
 
6.0%
서 1043
 
6.0%
특 1043
 
6.0%
별 1043
 
6.0%
구 1043
 
6.0%
울 1043
 
6.0%
로 1042
 
5.9%
Other values (158) 6683
38.1%
Common
ValueCountFrequency (%)
5047
43.1%
) 1043
 
8.9%
( 1043
 
8.9%
1 867
 
7.4%
2 686
 
5.9%
3 517
 
4.4%
, 477
 
4.1%
4 416
 
3.6%
0 264
 
2.3%
5 257
 
2.2%
Other values (5) 1085
 
9.3%
Latin
ValueCountFrequency (%)
B 13
48.1%
C 2
 
7.4%
D 2
 
7.4%
S 1
 
3.7%
A 1
 
3.7%
R 1
 
3.7%
E 1
 
3.7%
G 1
 
3.7%
I 1
 
3.7%
T 1
 
3.7%
Other values (3) 3
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17523
59.9%
ASCII 11729
40.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5047
43.0%
) 1043
 
8.9%
( 1043
 
8.9%
1 867
 
7.4%
2 686
 
5.8%
3 517
 
4.4%
, 477
 
4.1%
4 416
 
3.5%
0 264
 
2.3%
5 257
 
2.2%
Other values (18) 1112
 
9.5%
Hangul
ValueCountFrequency (%)
송 1234
 
7.0%
파 1205
 
6.9%
동 1097
 
6.3%
시 1047
 
6.0%
서 1043
 
6.0%
특 1043
 
6.0%
별 1043
 
6.0%
구 1043
 
6.0%
울 1043
 
6.0%
로 1042
 
5.9%
Other values (158) 6683
38.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct155
Distinct (%)34.9%
Missing613
Missing (%)58.0%
Infinite0
Infinite (%)0.0%
Mean12863.84
Minimum5510
Maximum138867
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.4 KiB
2024-05-11T15:00:55.146698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5510
5-th percentile5547
Q15607.75
median5711
Q35733.75
95-th percentile138143.65
Maximum138867
Range133357
Interquartile range (IQR)126

Descriptive statistics

Standard deviation30109.56
Coefficient of variation (CV)2.3406355
Kurtosis13.724769
Mean12863.84
Median Absolute Deviation (MAD)71.5
Skewness3.9576154
Sum5711545
Variance9.0658563 × 108
MonotonicityNot monotonic
2024-05-11T15:00:55.466803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5712 47
 
4.4%
5711 45
 
4.3%
5713 18
 
1.7%
5548 17
 
1.6%
5559 13
 
1.2%
5639 9
 
0.9%
5769 9
 
0.9%
5560 8
 
0.8%
138803 7
 
0.7%
5547 7
 
0.7%
Other values (145) 264
25.0%
(Missing) 613
58.0%
ValueCountFrequency (%)
5510 1
0.1%
5511 2
0.2%
5512 1
0.1%
5519 1
0.1%
5520 1
0.1%
5521 1
0.1%
5527 1
0.1%
5528 1
0.1%
5531 2
0.2%
5536 1
0.1%
ValueCountFrequency (%)
138867 2
 
0.2%
138862 1
 
0.1%
138861 1
 
0.1%
138847 2
 
0.2%
138845 1
 
0.1%
138830 1
 
0.1%
138807 1
 
0.1%
138804 1
 
0.1%
138803 7
0.7%
138802 1
 
0.1%

사업장명
Text

Distinct759
Distinct (%)71.8%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
2024-05-11T15:00:55.886461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length4.8789026
Min length1

Characters and Unicode

Total characters5157
Distinct characters473
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique605 ?
Unique (%)57.2%

Sample

1st row당신의
2nd row윙크
3rd row산울
4th row파크
5th row마천
ValueCountFrequency (%)
노래연습장 84
 
7.2%
sbs 16
 
1.4%
스타 13
 
1.1%
mbc 11
 
0.9%
앵콜 10
 
0.9%
코인노래연습장 10
 
0.9%
짱 9
 
0.8%
월드 7
 
0.6%
우리 7
 
0.6%
큐 6
 
0.5%
Other values (738) 998
85.2%
2024-05-11T15:00:56.566109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
노 459
 
8.9%
래 453
 
8.8%
장 445
 
8.6%
연 442
 
8.6%
습 441
 
8.6%
스 116
 
2.2%
114
 
2.2%
이 71
 
1.4%
리 57
 
1.1%
S 56
 
1.1%
Other values (463) 2503
48.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4667
90.5%
Uppercase Letter 240
 
4.7%
Space Separator 114
 
2.2%
Decimal Number 77
 
1.5%
Lowercase Letter 30
 
0.6%
Other Punctuation 11
 
0.2%
Open Punctuation 7
 
0.1%
Close Punctuation 7
 
0.1%
Dash Punctuation 2
 
< 0.1%
Letter Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
노 459
 
9.8%
래 453
 
9.7%
장 445
 
9.5%
연 442
 
9.5%
습 441
 
9.4%
스 116
 
2.5%
이 71
 
1.5%
리 57
 
1.2%
인 56
 
1.2%
코 54
 
1.2%
Other values (405) 2073
44.4%
Uppercase Letter
ValueCountFrequency (%)
S 56
23.3%
B 52
21.7%
M 30
12.5%
C 27
11.2%
K 15
 
6.2%
O 11
 
4.6%
N 9
 
3.8%
P 6
 
2.5%
T 5
 
2.1%
V 5
 
2.1%
Other values (12) 24
10.0%
Lowercase Letter
ValueCountFrequency (%)
r 3
10.0%
t 3
10.0%
m 3
10.0%
s 3
10.0%
u 3
10.0%
o 2
 
6.7%
j 2
 
6.7%
v 2
 
6.7%
a 2
 
6.7%
y 1
 
3.3%
Other values (6) 6
20.0%
Decimal Number
ValueCountFrequency (%)
2 29
37.7%
1 13
16.9%
0 13
16.9%
3 7
 
9.1%
5 5
 
6.5%
7 3
 
3.9%
4 3
 
3.9%
6 2
 
2.6%
9 1
 
1.3%
8 1
 
1.3%
Other Punctuation
ValueCountFrequency (%)
. 7
63.6%
, 2
 
18.2%
? 1
 
9.1%
@ 1
 
9.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅰ 1
50.0%
Space Separator
ValueCountFrequency (%)
114
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4667
90.5%
Latin 272
 
5.3%
Common 218
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
노 459
 
9.8%
래 453
 
9.7%
장 445
 
9.5%
연 442
 
9.5%
습 441
 
9.4%
스 116
 
2.5%
이 71
 
1.5%
리 57
 
1.2%
인 56
 
1.2%
코 54
 
1.2%
Other values (405) 2073
44.4%
Latin
ValueCountFrequency (%)
S 56
20.6%
B 52
19.1%
M 30
11.0%
C 27
9.9%
K 15
 
5.5%
O 11
 
4.0%
N 9
 
3.3%
P 6
 
2.2%
T 5
 
1.8%
V 5
 
1.8%
Other values (30) 56
20.6%
Common
ValueCountFrequency (%)
114
52.3%
2 29
 
13.3%
1 13
 
6.0%
0 13
 
6.0%
. 7
 
3.2%
( 7
 
3.2%
) 7
 
3.2%
3 7
 
3.2%
5 5
 
2.3%
7 3
 
1.4%
Other values (8) 13
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4667
90.5%
ASCII 488
 
9.5%
Number Forms 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
노 459
 
9.8%
래 453
 
9.7%
장 445
 
9.5%
연 442
 
9.5%
습 441
 
9.4%
스 116
 
2.5%
이 71
 
1.5%
리 57
 
1.2%
인 56
 
1.2%
코 54
 
1.2%
Other values (405) 2073
44.4%
ASCII
ValueCountFrequency (%)
114
23.4%
S 56
11.5%
B 52
10.7%
M 30
 
6.1%
2 29
 
5.9%
C 27
 
5.5%
K 15
 
3.1%
1 13
 
2.7%
0 13
 
2.7%
O 11
 
2.3%
Other values (46) 128
26.2%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅰ 1
50.0%

최종수정일자
Date

Distinct998
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
Minimum2003-02-17 15:38:15
Maximum2024-05-08 15:52:01
2024-05-11T15:00:57.098945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:00:57.312961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
I
624 
U
433 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 624
59.0%
U 433
41.0%

Length

2024-05-11T15:00:57.541049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:00:57.762518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 624
59.0%
u 433
41.0%

데이터갱신일자
Date

Distinct323
Distinct (%)30.6%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:03:00
2024-05-11T15:00:57.947799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:00:58.137501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1057
Missing (%)100.0%
Memory size9.4 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct754
Distinct (%)72.2%
Missing13
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean209854.57
Minimum191864.15
Maximum213836.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.4 KiB
2024-05-11T15:00:58.330621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191864.15
5-th percentile207164.02
Q1208650.26
median210154.26
Q3210880.91
95-th percentile212870.54
Maximum213836.82
Range21972.666
Interquartile range (IQR)2230.649

Descriptive statistics

Standard deviation1748.6063
Coefficient of variation (CV)0.0083324672
Kurtosis9.7869124
Mean209854.57
Median Absolute Deviation (MAD)883.525
Skewness-1.0038988
Sum2.1908817 × 108
Variance3057624
MonotonicityNot monotonic
2024-05-11T15:00:58.524141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
210446.492080187 19
 
1.8%
210473.897556514 9
 
0.9%
210479.342889261 7
 
0.7%
210402.514701363 6
 
0.6%
210511.48 6
 
0.6%
210430.87267666 5
 
0.5%
212852.620762184 5
 
0.5%
209608.131558799 4
 
0.4%
211544.923593001 4
 
0.4%
212863.341874277 4
 
0.4%
Other values (744) 975
92.2%
(Missing) 13
 
1.2%
ValueCountFrequency (%)
191864.153384198 1
0.1%
206955.954038363 1
0.1%
206976.512126715 1
0.1%
206989.715895815 2
0.2%
206997.316304444 2
0.2%
206999.298639306 1
0.1%
207004.830567831 1
0.1%
207006.591695429 1
0.1%
207045.010076729 2
0.2%
207048.393790765 1
0.1%
ValueCountFrequency (%)
213836.818937676 1
 
0.1%
213673.203530466 1
 
0.1%
213662.86814852 1
 
0.1%
213551.363780309 1
 
0.1%
213547.104884445 1
 
0.1%
213489.673115375 1
 
0.1%
213472.400666424 1
 
0.1%
213468.096258992 3
0.3%
213428.236615776 1
 
0.1%
213422.552027501 1
 
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct754
Distinct (%)72.2%
Missing13
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean444599.24
Minimum441406.98
Maximum448408.63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.4 KiB
2024-05-11T15:00:58.753467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441406.98
5-th percentile443006.59
Q1443765.73
median444634.42
Q3445325.81
95-th percentile445878.78
Maximum448408.63
Range7001.6448
Interquartile range (IQR)1560.0805

Descriptive statistics

Standard deviation1068.4827
Coefficient of variation (CV)0.0024032491
Kurtosis1.5000282
Mean444599.24
Median Absolute Deviation (MAD)748.21
Skewness0.56504727
Sum4.6416161 × 108
Variance1141655.3
MonotonicityNot monotonic
2024-05-11T15:00:58.954768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
443650.986621016 19
 
1.8%
443684.623119847 9
 
0.9%
443663.85649214 7
 
0.7%
443635.306871338 6
 
0.6%
443685.66 6
 
0.6%
443675.93588311 5
 
0.5%
443990.574678948 5
 
0.5%
445724.54844089 4
 
0.4%
442594.58079972 4
 
0.4%
443969.532768461 4
 
0.4%
Other values (744) 975
92.2%
(Missing) 13
 
1.2%
ValueCountFrequency (%)
441406.981434166 1
0.1%
442002.841604704 1
0.1%
442015.231257754 2
0.2%
442049.488916525 1
0.1%
442070.575741668 1
0.1%
442080.373789223 1
0.1%
442144.77517462 1
0.1%
442243.036327777 2
0.2%
442258.079228654 2
0.2%
442291.672315247 1
0.1%
ValueCountFrequency (%)
448408.626216441 1
 
0.1%
448356.357871225 3
0.3%
448340.921412242 1
 
0.1%
448327.535326728 1
 
0.1%
448306.430196107 1
 
0.1%
448299.18801552 1
 
0.1%
448275.808769884 1
 
0.1%
448262.554205094 1
 
0.1%
448227.639785088 1
 
0.1%
448172.806593699 1
 
0.1%

문화체육업종명
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
노래연습장업
903 
<NA>
154 

Length

Max length6
Median length6
Mean length5.7086093
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
노래연습장업 903
85.4%
<NA> 154
 
14.6%

Length

2024-05-11T15:00:59.146782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:00:59.309516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노래연습장업 903
85.4%
na 154
 
14.6%

문화사업자구분명
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
유통관련업
903 
<NA>
154 

Length

Max length5
Median length5
Mean length4.8543046
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 903
85.4%
<NA> 154
 
14.6%

Length

2024-05-11T15:00:59.457196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:00:59.596247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 903
85.4%
na 154
 
14.6%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)3.3%
Missing569
Missing (%)53.8%
Infinite0
Infinite (%)0.0%
Mean1.5040984
Minimum0
Maximum22
Zeros345
Zeros (%)32.6%
Negative0
Negative (%)0.0%
Memory size9.4 KiB
2024-05-11T15:00:59.750141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile6.65
Maximum22
Range22
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.8873411
Coefficient of variation (CV)1.9196491
Kurtosis14.402438
Mean1.5040984
Median Absolute Deviation (MAD)0
Skewness3.0765742
Sum734
Variance8.3367388
MonotonicityNot monotonic
2024-05-11T15:00:59.896329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 345
32.6%
4 57
 
5.4%
5 26
 
2.5%
3 22
 
2.1%
7 14
 
1.3%
6 9
 
0.9%
2 3
 
0.3%
9 3
 
0.3%
8 2
 
0.2%
12 1
 
0.1%
Other values (6) 6
 
0.6%
(Missing) 569
53.8%
ValueCountFrequency (%)
0 345
32.6%
1 1
 
0.1%
2 3
 
0.3%
3 22
 
2.1%
4 57
 
5.4%
5 26
 
2.5%
6 9
 
0.9%
7 14
 
1.3%
8 2
 
0.2%
9 3
 
0.3%
ValueCountFrequency (%)
22 1
 
0.1%
21 1
 
0.1%
19 1
 
0.1%
18 1
 
0.1%
16 1
 
0.1%
12 1
 
0.1%
9 3
 
0.3%
8 2
 
0.2%
7 14
1.3%
6 9
0.9%

주변환경명
Categorical

Distinct7
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
<NA>
738 
주택가주변
139 
기타
116 
유흥업소밀집지역
 
49
학교정화(상대)
 
9
Other values (2)
 
6

Length

Max length8
Median length4
Mean length4.1390728
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 738
69.8%
주택가주변 139
 
13.2%
기타 116
 
11.0%
유흥업소밀집지역 49
 
4.6%
학교정화(상대) 9
 
0.9%
아파트지역 5
 
0.5%
결혼예식장주변 1
 
0.1%

Length

2024-05-11T15:01:00.125992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:01:00.312681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 738
69.8%
주택가주변 139
 
13.2%
기타 116
 
11.0%
유흥업소밀집지역 49
 
4.6%
학교정화(상대 9
 
0.9%
아파트지역 5
 
0.5%
결혼예식장주변 1
 
0.1%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1057
Missing (%)100.0%
Memory size9.4 KiB

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct358
Distinct (%)42.9%
Missing222
Missing (%)21.0%
Infinite0
Infinite (%)0.0%
Mean88.200263
Minimum0
Maximum446.9
Zeros348
Zeros (%)32.9%
Negative0
Negative (%)0.0%
Memory size9.4 KiB
2024-05-11T15:01:00.572124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median101.2
Q3147.265
95-th percentile220.33
Maximum446.9
Range446.9
Interquartile range (IQR)147.265

Descriptive statistics

Standard deviation86.067139
Coefficient of variation (CV)0.97581499
Kurtosis-0.014017682
Mean88.200263
Median Absolute Deviation (MAD)99.84
Skewness0.5957467
Sum73647.22
Variance7407.5524
MonotonicityNot monotonic
2024-05-11T15:01:00.839474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 348
32.9%
132.0 27
 
2.6%
165.0 10
 
0.9%
140.0 9
 
0.9%
120.0 8
 
0.8%
99.0 7
 
0.7%
130.0 5
 
0.5%
82.5 5
 
0.5%
149.0 4
 
0.4%
170.0 4
 
0.4%
Other values (348) 408
38.6%
(Missing) 222
21.0%
ValueCountFrequency (%)
0.0 348
32.9%
27.3 1
 
0.1%
39.42 1
 
0.1%
42.58 1
 
0.1%
49.5 1
 
0.1%
53.58 1
 
0.1%
56.91 1
 
0.1%
59.0 1
 
0.1%
66.0 1
 
0.1%
66.39 1
 
0.1%
ValueCountFrequency (%)
446.9 1
0.1%
387.53 1
0.1%
384.88 1
0.1%
370.0 1
0.1%
367.99 1
0.1%
351.64 1
0.1%
345.5 1
0.1%
330.58 2
0.2%
330.4 1
0.1%
330.0 1
0.1%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)2.6%
Missing554
Missing (%)52.4%
Infinite0
Infinite (%)0.0%
Mean1.3558648
Minimum0
Maximum17
Zeros343
Zeros (%)32.5%
Negative0
Negative (%)0.0%
Memory size9.4 KiB
2024-05-11T15:01:01.036084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile5
Maximum17
Range17
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.3444859
Coefficient of variation (CV)1.7291443
Kurtosis7.9551256
Mean1.3558648
Median Absolute Deviation (MAD)0
Skewness2.2721664
Sum682
Variance5.4966139
MonotonicityNot monotonic
2024-05-11T15:01:01.225534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 343
32.5%
5 45
 
4.3%
3 32
 
3.0%
4 32
 
3.0%
2 26
 
2.5%
6 16
 
1.5%
1 2
 
0.2%
7 2
 
0.2%
15 1
 
0.1%
13 1
 
0.1%
Other values (3) 3
 
0.3%
(Missing) 554
52.4%
ValueCountFrequency (%)
0 343
32.5%
1 2
 
0.2%
2 26
 
2.5%
3 32
 
3.0%
4 32
 
3.0%
5 45
 
4.3%
6 16
 
1.5%
7 2
 
0.2%
10 1
 
0.1%
13 1
 
0.1%
ValueCountFrequency (%)
17 1
 
0.1%
15 1
 
0.1%
14 1
 
0.1%
13 1
 
0.1%
10 1
 
0.1%
7 2
 
0.2%
6 16
 
1.5%
5 45
4.3%
4 32
3.0%
3 32
3.0%

지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)1.0%
Missing453
Missing (%)42.9%
Infinite0
Infinite (%)0.0%
Mean0.53807947
Minimum0
Maximum6
Zeros312
Zeros (%)29.5%
Negative0
Negative (%)0.0%
Memory size9.4 KiB
2024-05-11T15:01:01.396787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.70313698
Coefficient of variation (CV)1.306753
Kurtosis18.830739
Mean0.53807947
Median Absolute Deviation (MAD)0
Skewness3.0520532
Sum325
Variance0.49440161
MonotonicityNot monotonic
2024-05-11T15:01:01.568569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 312
29.5%
1 278
26.3%
2 8
 
0.8%
5 3
 
0.3%
6 2
 
0.2%
4 1
 
0.1%
(Missing) 453
42.9%
ValueCountFrequency (%)
0 312
29.5%
1 278
26.3%
2 8
 
0.8%
4 1
 
0.1%
5 3
 
0.3%
6 2
 
0.2%
ValueCountFrequency (%)
6 2
 
0.2%
5 3
 
0.3%
4 1
 
0.1%
2 8
 
0.8%
1 278
26.3%
0 312
29.5%

건물용도명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
<NA>
704 
근린생활시설
349 
문화시설
 
1
환경위생시설
 
1
사무실
 
1

Length

Max length6
Median length4
Mean length4.6631977
Min length3

Unique

Unique4 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 704
66.6%
근린생활시설 349
33.0%
문화시설 1
 
0.1%
환경위생시설 1
 
0.1%
사무실 1
 
0.1%
식품위생시설 1
 
0.1%

Length

2024-05-11T15:01:01.766350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:01:01.946807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 704
66.6%
근린생활시설 349
33.0%
문화시설 1
 
0.1%
환경위생시설 1
 
0.1%
사무실 1
 
0.1%
식품위생시설 1
 
0.1%

통로너비
Real number (ℝ)

MISSING  ZEROS 

Distinct18
Distinct (%)13.1%
Missing920
Missing (%)87.0%
Infinite0
Infinite (%)0.0%
Mean0.52226277
Minimum0
Maximum2.5
Zeros85
Zeros (%)8.0%
Negative0
Negative (%)0.0%
Memory size9.4 KiB
2024-05-11T15:01:02.138248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.22
95-th percentile1.52
Maximum2.5
Range2.5
Interquartile range (IQR)1.22

Descriptive statistics

Standard deviation0.69186554
Coefficient of variation (CV)1.324746
Kurtosis-0.90333907
Mean0.52226277
Median Absolute Deviation (MAD)0
Skewness0.75389976
Sum71.55
Variance0.47867793
MonotonicityNot monotonic
2024-05-11T15:01:02.345016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.0 85
 
8.0%
1.2 17
 
1.6%
1.4 7
 
0.7%
1.3 5
 
0.5%
1.25 4
 
0.4%
1.5 3
 
0.3%
1.6 3
 
0.3%
1.29 2
 
0.2%
1.26 2
 
0.2%
1.47 1
 
0.1%
Other values (8) 8
 
0.8%
(Missing) 920
87.0%
ValueCountFrequency (%)
0.0 85
8.0%
1.2 17
 
1.6%
1.22 1
 
0.1%
1.24 1
 
0.1%
1.25 4
 
0.4%
1.26 2
 
0.2%
1.28 1
 
0.1%
1.29 2
 
0.2%
1.3 5
 
0.5%
1.37 1
 
0.1%
ValueCountFrequency (%)
2.5 1
 
0.1%
2.29 1
 
0.1%
2.28 1
 
0.1%
1.8 1
 
0.1%
1.6 3
0.3%
1.5 3
0.3%
1.47 1
 
0.1%
1.4 7
0.7%
1.37 1
 
0.1%
1.3 5
0.5%

조명시설조도
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
<NA>
954 
0
 
89
30
 
9
40
 
4
35
 
1

Length

Max length4
Median length4
Mean length3.7209082
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 954
90.3%
0 89
 
8.4%
30 9
 
0.9%
40 4
 
0.4%
35 1
 
0.1%

Length

2024-05-11T15:01:02.566588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:01:02.726104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 954
90.3%
0 89
 
8.4%
30 9
 
0.9%
40 4
 
0.4%
35 1
 
0.1%

노래방실수
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)6.3%
Missing615
Missing (%)58.2%
Infinite0
Infinite (%)0.0%
Mean13.626697
Minimum0
Maximum999
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size9.4 KiB
2024-05-11T15:01:02.890629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q15
median6
Q37
95-th percentile31.8
Maximum999
Range999
Interquartile range (IQR)2

Descriptive statistics

Standard deviation51.077226
Coefficient of variation (CV)3.7483204
Kurtosis315.75043
Mean13.626697
Median Absolute Deviation (MAD)1
Skewness16.575306
Sum6023
Variance2608.883
MonotonicityNot monotonic
2024-05-11T15:01:03.098525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
5 152
 
14.4%
6 96
 
9.1%
7 53
 
5.0%
4 28
 
2.6%
99 21
 
2.0%
8 21
 
2.0%
9 9
 
0.9%
3 6
 
0.6%
10 6
 
0.6%
1 5
 
0.5%
Other values (18) 45
 
4.3%
(Missing) 615
58.2%
ValueCountFrequency (%)
0 1
 
0.1%
1 5
 
0.5%
3 6
 
0.6%
4 28
 
2.6%
5 152
14.4%
6 96
9.1%
7 53
 
5.0%
8 21
 
2.0%
9 9
 
0.9%
10 6
 
0.6%
ValueCountFrequency (%)
999 1
 
0.1%
99 21
2.0%
32 1
 
0.1%
28 2
 
0.2%
26 1
 
0.1%
25 3
 
0.3%
24 1
 
0.1%
23 1
 
0.1%
22 2
 
0.2%
20 5
 
0.5%

청소년실수
Real number (ℝ)

MISSING  ZEROS 

Distinct19
Distinct (%)12.5%
Missing905
Missing (%)85.6%
Infinite0
Infinite (%)0.0%
Mean2.1973684
Minimum0
Maximum32
Zeros78
Zeros (%)7.4%
Negative0
Negative (%)0.0%
Memory size9.4 KiB
2024-05-11T15:01:03.294534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile12
Maximum32
Range32
Interquartile range (IQR)1

Descriptive statistics

Standard deviation4.8610351
Coefficient of variation (CV)2.2122076
Kurtosis13.669193
Mean2.1973684
Median Absolute Deviation (MAD)0
Skewness3.4569398
Sum334
Variance23.629662
MonotonicityNot monotonic
2024-05-11T15:01:03.438143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 78
 
7.4%
1 38
 
3.6%
2 9
 
0.9%
5 3
 
0.3%
4 3
 
0.3%
3 3
 
0.3%
11 2
 
0.2%
12 2
 
0.2%
6 2
 
0.2%
10 2
 
0.2%
Other values (9) 10
 
0.9%
(Missing) 905
85.6%
ValueCountFrequency (%)
0 78
7.4%
1 38
3.6%
2 9
 
0.9%
3 3
 
0.3%
4 3
 
0.3%
5 3
 
0.3%
6 2
 
0.2%
7 2
 
0.2%
8 1
 
0.1%
10 2
 
0.2%
ValueCountFrequency (%)
32 1
0.1%
23 1
0.1%
22 1
0.1%
20 1
0.1%
16 1
0.1%
15 1
0.1%
14 1
0.1%
12 2
0.2%
11 2
0.2%
10 2
0.2%

비상계단여부
Boolean

MISSING 

Distinct2
Distinct (%)1.9%
Missing951
Missing (%)90.0%
Memory size2.2 KiB
False
 
57
True
 
49
(Missing)
951 
ValueCountFrequency (%)
False 57
 
5.4%
True 49
 
4.6%
(Missing) 951
90.0%
2024-05-11T15:01:03.571715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

비상구여부
Boolean

MISSING 

Distinct2
Distinct (%)1.8%
Missing946
Missing (%)89.5%
Memory size2.2 KiB
False
 
57
True
 
54
(Missing)
946 
ValueCountFrequency (%)
False 57
 
5.4%
True 54
 
5.1%
(Missing) 946
89.5%
2024-05-11T15:01:03.702835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

자동환기여부
Boolean

MISSING 

Distinct2
Distinct (%)2.0%
Missing959
Missing (%)90.7%
Memory size2.2 KiB
False
 
60
True
 
38
(Missing)
959 
ValueCountFrequency (%)
False 60
 
5.7%
True 38
 
3.6%
(Missing) 959
90.7%
2024-05-11T15:01:03.826915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

청소년실여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)1.0%
Missing850
Missing (%)80.4%
Memory size2.2 KiB
True
200 
False
 
7
(Missing)
850 
ValueCountFrequency (%)
True 200
 
18.9%
False 7
 
0.7%
(Missing) 850
80.4%
2024-05-11T15:01:03.953148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

특수조명여부
Boolean

MISSING 

Distinct2
Distinct (%)2.6%
Missing979
Missing (%)92.6%
Memory size2.2 KiB
False
 
60
True
 
18
(Missing)
979 
ValueCountFrequency (%)
False 60
 
5.7%
True 18
 
1.7%
(Missing) 979
92.6%
2024-05-11T15:01:04.076042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

방음시설여부
Boolean

MISSING 

Distinct2
Distinct (%)2.0%
Missing959
Missing (%)90.7%
Memory size2.2 KiB
False
 
57
True
 
41
(Missing)
959 
ValueCountFrequency (%)
False 57
 
5.4%
True 41
 
3.9%
(Missing) 959
90.7%
2024-05-11T15:01:04.198843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1057
Missing (%)100.0%
Memory size9.4 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1057
Missing (%)100.0%
Memory size9.4 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1057
Missing (%)100.0%
Memory size9.4 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1057
Missing (%)100.0%
Memory size9.4 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1057
Missing (%)100.0%
Memory size9.4 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
<NA>
965 
0
 
92

Length

Max length4
Median length4
Mean length3.7388836
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 965
91.3%
0 92
 
8.7%

Length

2024-05-11T15:01:04.347934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:01:04.521997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 965
91.3%
0 92
 
8.7%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1057
Missing (%)100.0%
Memory size9.4 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1057
Missing (%)100.0%
Memory size9.4 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1057
Missing (%)100.0%
Memory size9.4 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1057
Missing (%)100.0%
Memory size9.4 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1057
Missing (%)100.0%
Memory size9.4 KiB

지역구분명
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
<NA>
731 
주거지역
189 
일반주거지역
98 
준주거지역
 
18
상업지역
 
11
Other values (2)
 
10

Length

Max length6
Median length4
Mean length4.2213813
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 731
69.2%
주거지역 189
 
17.9%
일반주거지역 98
 
9.3%
준주거지역 18
 
1.7%
상업지역 11
 
1.0%
일반상업지역 7
 
0.7%
근린상업지역 3
 
0.3%

Length

2024-05-11T15:01:04.743359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:01:04.935575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 731
69.2%
주거지역 189
 
17.9%
일반주거지역 98
 
9.3%
준주거지역 18
 
1.7%
상업지역 11
 
1.0%
일반상업지역 7
 
0.7%
근린상업지역 3
 
0.3%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03230000CDFF324205199200000119920509<NA>3폐업03폐업20171027<NA><NA><NA><NA><NA><NA>서울특별시 송파구 거여동 222-2번지서울특별시 송파구 오금로 569 (거여동)5764당신의2017-10-27 10:35:49I2018-08-31 23:59:59.0<NA>213380.448431443444.535039노래연습장업유통관련업<NA><NA><NA>0.0<NA><NA><NA><NA><NA>5<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13230000CDFF324205199200000219920706<NA>3폐업03폐업20050118<NA><NA><NA><NA><NA><NA>서울특별시 송파구 방이동 111-14번지서울특별시 송파구 백제고분로48길 8 (방이동)<NA>윙크2011-01-31 11:11:23I2018-08-31 23:59:59.0<NA>210011.758347445476.558288노래연습장업유통관련업0<NA><NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23230000CDFF324205199200000319920709<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 마천동 158-2번지서울특별시 송파구 성내천로 223 (마천동)<NA>산울2020-04-27 14:30:58U2020-04-29 02:40:00.0<NA>213422.552028444190.950636노래연습장업유통관련업0<NA><NA>0.000<NA><NA><NA>5<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33230000CDFF324205199200000419920710<NA>3폐업03폐업20000303<NA><NA><NA><NA><NA>138814서울특별시 송파구 거여동 31-10번지서울특별시 송파구 오금로 516 (거여동)<NA>파크2003-02-17 15:38:15I2018-08-31 23:59:59.0<NA>212855.365006443407.959906노래연습장업유통관련업<NA><NA><NA>0.0<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>
43230000CDFF324205199200000519920712<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 마천동 287-6번지서울특별시 송파구 성내천로 302, 지층 (마천동)5763마천2020-05-25 16:41:28U2020-05-27 02:40:00.0<NA>213673.20353443530.217689노래연습장업유통관련업<NA>주택가주변<NA>0.0<NA>1근린생활시설<NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
53230000CDFF324205199200000619920713<NA>3폐업03폐업20110131<NA><NA><NA><NA><NA><NA>서울특별시 송파구 거여동 133-77번지서울특별시 송파구 마천로 264 (거여동)<NA>개미2011-01-31 11:07:41I2018-08-31 23:59:59.0<NA>212852.620762443990.574679노래연습장업유통관련업0<NA><NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63230000CDFF324205199200000719920713<NA>4취소/말소/만료/정지/중지35직권말소20110822<NA><NA><NA><NA><NA><NA>서울특별시 송파구 풍납동 481-0번지서울특별시 송파구 올림픽로 609 (풍납동)<NA>공간2011-08-24 15:11:50I2018-08-31 23:59:59.0<NA>210736.327459448227.639785노래연습장업유통관련업0<NA><NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73230000CDFF324205199200000819920713<NA>3폐업03폐업20010227<NA><NA><NA><NA><NA><NA>서울특별시 송파구 송파동 96-7번지서울특별시 송파구 송파대로 386 (송파동)<NA>메니아2011-01-31 09:53:03I2018-08-31 23:59:59.0<NA>209689.154594444455.026913노래연습장업유통관련업<NA><NA><NA>0.0<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>
83230000CDFF324205199200000919920713<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 방이동 36-3서울특별시 송파구 올림픽로32길 9 (방이동)<NA>방방2021-09-13 13:24:49U2021-09-15 02:40:00.0<NA>209581.539386445894.90995노래연습장업유통관련업0<NA><NA>0.000<NA>0.0050<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
93230000CDFF324205199200001019920713<NA>3폐업03폐업20080526<NA><NA><NA><NA><NA><NA>서울특별시 송파구 가락동 96-12번지서울특별시 송파구 송파대로 286 (가락동)<NA>스타2011-05-26 10:23:18I2018-08-31 23:59:59.0<NA>210293.938886443641.287575노래연습장업유통관련업<NA><NA><NA>0.0<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>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
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10483230000CDFF32420520230000062023-11-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 가락동 76-5 광명빌딩서울특별시 송파구 송파대로30길 41, 광명빌딩 지하1층 (가락동)5713판타스틱 코인노래연습장 가락시장점2023-11-09 14:18:08I2022-10-31 23:01:00.0<NA>210662.44415443788.432544<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
10493230000CDFF32420520230000072023-12-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 가락동 83-6 상원빌딩서울특별시 송파구 중대로9길 32, 상원빌딩 2층 (가락동)5712엔젤 노래연습장2023-12-08 16:29:21I2022-11-01 23:00:00.0<NA>210433.368311443767.473626<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
10503230000CDFF32420520230000082023-12-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 문정동 99-7 아이원빌딩서울특별시 송파구 새말로 154, 아이원빌딩 지층 (문정동)5799딩동댕 노래연습장2023-12-14 09:52:13I2022-11-01 23:06:00.0<NA>211482.512397442473.138815<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
10513230000CDFF32420520230000092023-12-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 가락동 97-5 센터빌딩서울특별시 송파구 중대로9길 21, 센터빌딩 3층 일부호 (가락동)5711백호 노래연습장2023-12-15 17:26:18I2022-11-01 23:07:00.0<NA>210446.49208443650.986621<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
10523230000CDFF32420520230000102023-12-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 방이동 64-12 효창플라자서울특별시 송파구 오금로11길 12, 효창플라자 4층 일부호 (방이동)5548오아시스메타 코인노래연습장 송파방이점2023-12-22 14:20:09I2022-11-01 22:04:00.0<NA>209530.564623445796.842192<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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10543230000CDFF32420520240000012024-01-18<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 가락동 96-18서울특별시 송파구 송파대로30길 3, 지하1층 (가락동)5711키스 노래연습장2024-01-18 15:25:03I2023-11-30 22:00:00.0<NA>210357.477009443579.484128<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
10553230000CDFF32420520240000022024-01-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 가락동 97-5 센터빌딩서울특별시 송파구 중대로9길 21, 센터빌딩 2층 202호 (가락동)5711백마 노래연습장2024-01-24 11:23:50I2023-11-30 22:06:00.0<NA>210446.49208443650.986621<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
10563230000CDFF32420520240000032024-02-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 잠실동 180-2 SJ 에비뉴힐스서울특별시 송파구 백제고분로7길 23, SJ 에비뉴힐스 2층 (잠실동)5557BN코인노래연습장2024-02-27 18:03:49I2023-12-01 22:09:00.0<NA>207129.271568445400.76627<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>