Overview

Dataset statistics

Number of variables56
Number of observations902
Missing cells24003
Missing cells (%)47.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory427.3 KiB
Average record size in memory485.1 B

Variable types

Numeric11
Text6
DateTime3
Unsupported21
Categorical15

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
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-16053/S/1/datasetView.do

Alerts

상세영업상태코드 is highly imbalanced (57.3%)Imbalance
상세영업상태명 is highly imbalanced (57.3%)Imbalance
주변환경명 is highly imbalanced (65.6%)Imbalance
건물용도명 is highly imbalanced (53.4%)Imbalance
지역구분명 is highly imbalanced (55.2%)Imbalance
인허가취소일자 has 902 (100.0%) missing valuesMissing
폐업일자 has 658 (72.9%) missing valuesMissing
휴업시작일자 has 902 (100.0%) missing valuesMissing
휴업종료일자 has 902 (100.0%) missing valuesMissing
재개업일자 has 902 (100.0%) missing valuesMissing
전화번호 has 266 (29.5%) missing valuesMissing
소재지면적 has 902 (100.0%) missing valuesMissing
소재지우편번호 has 686 (76.1%) missing valuesMissing
도로명주소 has 32 (3.5%) missing valuesMissing
도로명우편번호 has 372 (41.2%) missing valuesMissing
업태구분명 has 902 (100.0%) missing valuesMissing
좌표정보(X) has 16 (1.8%) missing valuesMissing
좌표정보(Y) has 16 (1.8%) missing valuesMissing
총층수 has 505 (56.0%) missing valuesMissing
제작취급품목내용 has 902 (100.0%) missing valuesMissing
시설면적 has 680 (75.4%) missing valuesMissing
지상층수 has 423 (46.9%) missing valuesMissing
지하층수 has 443 (49.1%) missing valuesMissing
통로너비 has 708 (78.5%) missing valuesMissing
비상계단여부 has 902 (100.0%) missing valuesMissing
비상구여부 has 902 (100.0%) missing valuesMissing
자동환기여부 has 902 (100.0%) missing valuesMissing
청소년실여부 has 902 (100.0%) missing valuesMissing
특수조명여부 has 902 (100.0%) missing valuesMissing
방음시설여부 has 902 (100.0%) missing valuesMissing
비디오재생기명 has 902 (100.0%) missing valuesMissing
조명시설유무 has 902 (100.0%) missing valuesMissing
음향시설여부 has 902 (100.0%) missing valuesMissing
편의시설여부 has 902 (100.0%) missing valuesMissing
소방시설여부 has 902 (100.0%) missing valuesMissing
기존게임업외업종명 has 902 (100.0%) missing valuesMissing
제공게임물명 has 902 (100.0%) missing valuesMissing
품목명 has 902 (100.0%) missing valuesMissing
최초등록시점 has 256 (28.4%) missing valuesMissing
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
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
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 has 113 (12.5%) zerosZeros
시설면적 has 208 (23.1%) zerosZeros
지상층수 has 76 (8.4%) zerosZeros
지하층수 has 80 (8.9%) zerosZeros
통로너비 has 145 (16.1%) zerosZeros

Reproduction

Analysis started2024-05-11 01:07:41.692986
Analysis finished2024-05-11 01:07:43.339385
Duration1.65 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Real number (ℝ)

Distinct25
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3125687.4
Minimum3000000
Maximum3240000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-11T01:07:43.576304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3000000
Q13050000
median3130000
Q33200000
95-th percentile3230000
Maximum3240000
Range240000
Interquartile range (IQR)150000

Descriptive statistics

Standard deviation79764.664
Coefficient of variation (CV)0.025519079
Kurtosis-1.3265309
Mean3125687.4
Median Absolute Deviation (MAD)80000
Skewness-0.18554255
Sum2.81937 × 109
Variance6.3624016 × 109
MonotonicityNot monotonic
2024-05-11T01:07:44.114978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
3220000 112
 
12.4%
3000000 67
 
7.4%
3010000 64
 
7.1%
3130000 56
 
6.2%
3230000 54
 
6.0%
3180000 54
 
6.0%
3150000 45
 
5.0%
3120000 44
 
4.9%
3040000 40
 
4.4%
3240000 35
 
3.9%
Other values (15) 331
36.7%
ValueCountFrequency (%)
3000000 67
7.4%
3010000 64
7.1%
3020000 31
3.4%
3030000 19
 
2.1%
3040000 40
4.4%
3050000 15
 
1.7%
3060000 29
3.2%
3070000 14
 
1.6%
3080000 24
 
2.7%
3090000 12
 
1.3%
ValueCountFrequency (%)
3240000 35
 
3.9%
3230000 54
6.0%
3220000 112
12.4%
3210000 19
 
2.1%
3200000 23
 
2.5%
3190000 24
 
2.7%
3180000 54
6.0%
3170000 16
 
1.8%
3160000 25
 
2.8%
3150000 45
5.0%

관리번호
Text

Distinct345
Distinct (%)38.2%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
2024-05-11T01:07:44.830071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters18040
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

Unique159 ?
Unique (%)17.6%

Sample

1st rowCDFF4220002005000002
2nd rowCDFF4220002005000003
3rd rowCDFF4220002005000001
4th rowCDFF4220002005000005
5th rowCDFF4220002005000004
ValueCountFrequency (%)
cdff4220002002000001 10
 
1.1%
cdff4220002004000002 9
 
1.0%
cdff4220002007000001 9
 
1.0%
cdff4220002003000001 9
 
1.0%
cdff4220002004000003 8
 
0.9%
cdff4220002012000001 8
 
0.9%
cdff4220002005000001 8
 
0.9%
cdff4220002008000001 8
 
0.9%
cdff4220002006000002 8
 
0.9%
cdff4220002006000001 8
 
0.9%
Other values (335) 817
90.6%
2024-05-11T01:07:45.875182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8564
47.5%
2 2928
 
16.2%
F 1804
 
10.0%
4 1108
 
6.1%
C 902
 
5.0%
D 902
 
5.0%
1 647
 
3.6%
9 295
 
1.6%
3 237
 
1.3%
5 194
 
1.1%
Other values (3) 459
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 14432
80.0%
Uppercase Letter 3608
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8564
59.3%
2 2928
 
20.3%
4 1108
 
7.7%
1 647
 
4.5%
9 295
 
2.0%
3 237
 
1.6%
5 194
 
1.3%
7 166
 
1.2%
6 162
 
1.1%
8 131
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
F 1804
50.0%
C 902
25.0%
D 902
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14432
80.0%
Latin 3608
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8564
59.3%
2 2928
 
20.3%
4 1108
 
7.7%
1 647
 
4.5%
9 295
 
2.0%
3 237
 
1.6%
5 194
 
1.3%
7 166
 
1.2%
6 162
 
1.1%
8 131
 
0.9%
Latin
ValueCountFrequency (%)
F 1804
50.0%
C 902
25.0%
D 902
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18040
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8564
47.5%
2 2928
 
16.2%
F 1804
 
10.0%
4 1108
 
6.1%
C 902
 
5.0%
D 902
 
5.0%
1 647
 
3.6%
9 295
 
1.6%
3 237
 
1.3%
5 194
 
1.1%
Other values (3) 459
 
2.5%

인허가일자
Date

Distinct225
Distinct (%)24.9%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
Minimum1958-01-21 00:00:00
Maximum2023-10-04 00:00:00
2024-05-11T01:07:46.320348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:07:46.750749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing902
Missing (%)100.0%
Memory size8.1 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
1
647 
3
234 
4
 
21

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 647
71.7%
3 234
 
25.9%
4 21
 
2.3%

Length

2024-05-11T01:07:47.246367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:07:47.548908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 647
71.7%
3 234
 
25.9%
4 21
 
2.3%

영업상태명
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
영업/정상
647 
폐업
234 
취소/말소/만료/정지/중지
 
21

Length

Max length14
Median length5
Mean length4.4312639
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 647
71.7%
폐업 234
 
25.9%
취소/말소/만료/정지/중지 21
 
2.3%

Length

2024-05-11T01:07:47.901591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:07:48.228929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 647
71.7%
폐업 234
 
25.9%
취소/말소/만료/정지/중지 21
 
2.3%

상세영업상태코드
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
13
633 
03
233 
35
 
19
BBBB
 
14
33
 
2

Length

Max length4
Median length2
Mean length2.0310421
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
13 633
70.2%
03 233
 
25.8%
35 19
 
2.1%
BBBB 14
 
1.6%
33 2
 
0.2%
34 1
 
0.1%

Length

2024-05-11T01:07:48.632343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:07:48.989164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 633
70.2%
03 233
 
25.8%
35 19
 
2.1%
bbbb 14
 
1.6%
33 2
 
0.2%
34 1
 
0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
영업중
633 
폐업
233 
직권말소
 
19
<NA>
 
14
지정취소
 
2

Length

Max length5
Median length3
Mean length2.7827051
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 633
70.2%
폐업 233
 
25.8%
직권말소 19
 
2.1%
<NA> 14
 
1.6%
지정취소 2
 
0.2%
영업장폐쇄 1
 
0.1%

Length

2024-05-11T01:07:49.385334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:07:49.696086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 633
70.2%
폐업 233
 
25.8%
직권말소 19
 
2.1%
na 14
 
1.6%
지정취소 2
 
0.2%
영업장폐쇄 1
 
0.1%

폐업일자
Text

MISSING 

Distinct104
Distinct (%)42.6%
Missing658
Missing (%)72.9%
Memory size7.2 KiB
2024-05-11T01:07:50.013617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length8.0327869
Min length8

Characters and Unicode

Total characters1960
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

Unique58 ?
Unique (%)23.8%

Sample

1st row2022-08-03
2nd row20221128
3rd row20221128
4th row20030404
5th row20010315
ValueCountFrequency (%)
20130306 9
 
3.7%
20091216 9
 
3.7%
20140117 8
 
3.3%
20180118 8
 
3.3%
20210907 8
 
3.3%
20110916 7
 
2.9%
20230112 7
 
2.9%
20120509 7
 
2.9%
20070315 7
 
2.9%
20080313 6
 
2.5%
Other values (94) 168
68.9%
2024-05-11T01:07:50.973420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 662
33.8%
2 406
20.7%
1 369
18.8%
3 112
 
5.7%
9 84
 
4.3%
4 76
 
3.9%
8 70
 
3.6%
7 63
 
3.2%
5 62
 
3.2%
6 48
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1952
99.6%
Dash Punctuation 8
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 662
33.9%
2 406
20.8%
1 369
18.9%
3 112
 
5.7%
9 84
 
4.3%
4 76
 
3.9%
8 70
 
3.6%
7 63
 
3.2%
5 62
 
3.2%
6 48
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1960
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 662
33.8%
2 406
20.7%
1 369
18.8%
3 112
 
5.7%
9 84
 
4.3%
4 76
 
3.9%
8 70
 
3.6%
7 63
 
3.2%
5 62
 
3.2%
6 48
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1960
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 662
33.8%
2 406
20.7%
1 369
18.8%
3 112
 
5.7%
9 84
 
4.3%
4 76
 
3.9%
8 70
 
3.6%
7 63
 
3.2%
5 62
 
3.2%
6 48
 
2.4%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing902
Missing (%)100.0%
Memory size8.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing902
Missing (%)100.0%
Memory size8.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing902
Missing (%)100.0%
Memory size8.1 KiB

전화번호
Text

MISSING 

Distinct165
Distinct (%)25.9%
Missing266
Missing (%)29.5%
Memory size7.2 KiB
2024-05-11T01:07:51.585143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length13
Mean length10.800314
Min length3

Characters and Unicode

Total characters6869
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)10.2%

Sample

1st row2118-5443
2nd row2118-5443
3rd row2118-5443
4th row2118-5443
5th row2118-5443
ValueCountFrequency (%)
02-3470-3493 29
 
4.5%
02-2012-3002 21
 
3.3%
02-2024-1646 12
 
1.9%
02-373-2995 10
 
1.6%
02-461-1941 10
 
1.6%
3393-3500 10
 
1.6%
070-4914-5901 10
 
1.6%
6094-9600 10
 
1.6%
2111-1135 10
 
1.6%
02-3147-3818 9
 
1.4%
Other values (156) 508
79.5%
2024-05-11T01:07:52.619406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1162
16.9%
- 999
14.5%
2 807
11.7%
3 742
10.8%
7 652
9.5%
1 539
7.8%
4 467
6.8%
6 436
 
6.3%
5 398
 
5.8%
9 370
 
5.4%
Other values (4) 297
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5854
85.2%
Dash Punctuation 999
 
14.5%
Close Punctuation 12
 
0.2%
Space Separator 3
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1162
19.8%
2 807
13.8%
3 742
12.7%
7 652
11.1%
1 539
9.2%
4 467
8.0%
6 436
 
7.4%
5 398
 
6.8%
9 370
 
6.3%
8 281
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 999
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6869
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1162
16.9%
- 999
14.5%
2 807
11.7%
3 742
10.8%
7 652
9.5%
1 539
7.8%
4 467
6.8%
6 436
 
6.3%
5 398
 
5.8%
9 370
 
5.4%
Other values (4) 297
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6869
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1162
16.9%
- 999
14.5%
2 807
11.7%
3 742
10.8%
7 652
9.5%
1 539
7.8%
4 467
6.8%
6 436
 
6.3%
5 398
 
5.8%
9 370
 
5.4%
Other values (4) 297
 
4.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing902
Missing (%)100.0%
Memory size8.1 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct60
Distinct (%)27.8%
Missing686
Missing (%)76.1%
Infinite0
Infinite (%)0.0%
Mean131520.08
Minimum100011
Maximum158860
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-11T01:07:53.063228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100011
5-th percentile100854.5
Q1120833
median135811
Q3138861
95-th percentile156813
Maximum158860
Range58849
Interquartile range (IQR)18028

Descriptive statistics

Standard deviation15477.948
Coefficient of variation (CV)0.11768505
Kurtosis-0.58909867
Mean131520.08
Median Absolute Deviation (MAD)14003
Skewness-0.30071931
Sum28408337
Variance2.3956686 × 108
MonotonicityNot monotonic
2024-05-11T01:07:53.570906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
120833 15
 
1.7%
150033 15
 
1.7%
135090 14
 
1.6%
135931 12
 
1.3%
150835 8
 
0.9%
135811 8
 
0.9%
130840 7
 
0.8%
110111 7
 
0.8%
121807 7
 
0.8%
156849 7
 
0.8%
Other values (50) 116
 
12.9%
(Missing) 686
76.1%
ValueCountFrequency (%)
100011 6
0.7%
100031 1
 
0.1%
100300 3
0.3%
100850 1
 
0.1%
100856 1
 
0.1%
100861 2
 
0.2%
100862 1
 
0.1%
110062 1
 
0.1%
110111 7
0.8%
110320 1
 
0.1%
ValueCountFrequency (%)
158860 3
0.3%
158819 1
 
0.1%
156849 7
0.8%
156801 1
 
0.1%
156713 1
 
0.1%
153822 1
 
0.1%
153807 1
 
0.1%
152812 1
 
0.1%
151836 3
0.3%
150903 2
 
0.2%

지번주소
Text

Distinct284
Distinct (%)31.5%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
2024-05-11T01:07:54.376616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length35
Mean length24.853659
Min length16

Characters and Unicode

Total characters22418
Distinct characters266
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique129 ?
Unique (%)14.3%

Sample

1st row서울특별시 중구 남대문로2가 130
2nd row서울특별시 중구 남대문로2가 130
3rd row서울특별시 중구 남대문로2가 130
4th row서울특별시 중구 남대문로2가 130
5th row서울특별시 중구 남대문로2가 130
ValueCountFrequency (%)
서울특별시 902
 
20.5%
강남구 112
 
2.5%
종로구 66
 
1.5%
중구 64
 
1.5%
마포구 57
 
1.3%
송파구 54
 
1.2%
영등포구 54
 
1.2%
강서구 44
 
1.0%
서대문구 44
 
1.0%
광진구 40
 
0.9%
Other values (475) 2964
67.3%
2024-05-11T01:07:55.652666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4145
18.5%
서 1029
 
4.6%
동 968
 
4.3%
시 964
 
4.3%
구 959
 
4.3%
울 911
 
4.1%
특 902
 
4.0%
별 902
 
4.0%
1 868
 
3.9%
- 660
 
2.9%
Other values (256) 10110
45.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13348
59.5%
Space Separator 4145
 
18.5%
Decimal Number 4090
 
18.2%
Dash Punctuation 660
 
2.9%
Other Punctuation 70
 
0.3%
Uppercase Letter 49
 
0.2%
Math Symbol 26
 
0.1%
Open Punctuation 15
 
0.1%
Close Punctuation 15
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 1029
 
7.7%
동 968
 
7.3%
시 964
 
7.2%
구 959
 
7.2%
울 911
 
6.8%
특 902
 
6.8%
별 902
 
6.8%
지 403
 
3.0%
층 338
 
2.5%
번 323
 
2.4%
Other values (227) 5649
42.3%
Uppercase Letter
ValueCountFrequency (%)
C 8
16.3%
L 6
12.2%
T 6
12.2%
O 6
12.2%
W 6
12.2%
E 6
12.2%
R 6
12.2%
V 1
 
2.0%
G 1
 
2.0%
F 1
 
2.0%
Other values (2) 2
 
4.1%
Decimal Number
ValueCountFrequency (%)
1 868
21.2%
2 510
12.5%
5 436
10.7%
4 410
10.0%
6 398
9.7%
3 357
8.7%
9 353
8.6%
0 276
 
6.7%
7 246
 
6.0%
8 236
 
5.8%
Other Punctuation
ValueCountFrequency (%)
, 68
97.1%
? 2
 
2.9%
Space Separator
ValueCountFrequency (%)
4145
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 660
100.0%
Math Symbol
ValueCountFrequency (%)
~ 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13348
59.5%
Common 9021
40.2%
Latin 49
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 1029
 
7.7%
동 968
 
7.3%
시 964
 
7.2%
구 959
 
7.2%
울 911
 
6.8%
특 902
 
6.8%
별 902
 
6.8%
지 403
 
3.0%
층 338
 
2.5%
번 323
 
2.4%
Other values (227) 5649
42.3%
Common
ValueCountFrequency (%)
4145
45.9%
1 868
 
9.6%
- 660
 
7.3%
2 510
 
5.7%
5 436
 
4.8%
4 410
 
4.5%
6 398
 
4.4%
3 357
 
4.0%
9 353
 
3.9%
0 276
 
3.1%
Other values (7) 608
 
6.7%
Latin
ValueCountFrequency (%)
C 8
16.3%
L 6
12.2%
T 6
12.2%
O 6
12.2%
W 6
12.2%
E 6
12.2%
R 6
12.2%
V 1
 
2.0%
G 1
 
2.0%
F 1
 
2.0%
Other values (2) 2
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13348
59.5%
ASCII 9070
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4145
45.7%
1 868
 
9.6%
- 660
 
7.3%
2 510
 
5.6%
5 436
 
4.8%
4 410
 
4.5%
6 398
 
4.4%
3 357
 
3.9%
9 353
 
3.9%
0 276
 
3.0%
Other values (19) 657
 
7.2%
Hangul
ValueCountFrequency (%)
서 1029
 
7.7%
동 968
 
7.3%
시 964
 
7.2%
구 959
 
7.2%
울 911
 
6.8%
특 902
 
6.8%
별 902
 
6.8%
지 403
 
3.0%
층 338
 
2.5%
번 323
 
2.4%
Other values (227) 5649
42.3%

도로명주소
Text

MISSING 

Distinct264
Distinct (%)30.3%
Missing32
Missing (%)3.5%
Memory size7.2 KiB
2024-05-11T01:07:56.329498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length39
Mean length31.342529
Min length20

Characters and Unicode

Total characters27268
Distinct characters300
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique119 ?
Unique (%)13.7%

Sample

1st row서울특별시 중구 남대문로 73, 6~7층 (남대문로2가, AVENUEL)
2nd row서울특별시 중구 남대문로 73, 6~7층 (남대문로2가, AVENUEL)
3rd row서울특별시 중구 남대문로 73, 6~7층 (남대문로2가, AVENUEL)
4th row서울특별시 중구 남대문로 73, 6~7층 (남대문로2가, AVENUEL)
5th row서울특별시 중구 남대문로 73, 6~7층 (남대문로2가, AVENUEL)
ValueCountFrequency (%)
서울특별시 870
 
16.6%
강남구 112
 
2.1%
종로구 65
 
1.2%
중구 63
 
1.2%
마포구 57
 
1.1%
송파구 54
 
1.0%
강서구 44
 
0.8%
6층 43
 
0.8%
영등포구 42
 
0.8%
서대문구 40
 
0.8%
Other values (531) 3854
73.5%
2024-05-11T01:07:57.578885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4564
 
16.7%
동 1106
 
4.1%
로 1021
 
3.7%
서 998
 
3.7%
시 944
 
3.5%
구 943
 
3.5%
) 884
 
3.2%
( 884
 
3.2%
울 880
 
3.2%
특 870
 
3.2%
Other values (290) 14174
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16421
60.2%
Space Separator 4564
 
16.7%
Decimal Number 3500
 
12.8%
Close Punctuation 884
 
3.2%
Open Punctuation 884
 
3.2%
Other Punctuation 811
 
3.0%
Uppercase Letter 127
 
0.5%
Math Symbol 74
 
0.3%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1106
 
6.7%
로 1021
 
6.2%
서 998
 
6.1%
시 944
 
5.7%
구 943
 
5.7%
울 880
 
5.4%
특 870
 
5.3%
별 870
 
5.3%
층 483
 
2.9%
대 341
 
2.1%
Other values (258) 7965
48.5%
Uppercase Letter
ValueCountFrequency (%)
C 16
12.6%
E 16
12.6%
A 13
10.2%
B 12
9.4%
L 11
8.7%
I 9
 
7.1%
F 9
 
7.1%
O 6
 
4.7%
W 6
 
4.7%
R 6
 
4.7%
Other values (5) 23
18.1%
Decimal Number
ValueCountFrequency (%)
1 724
20.7%
2 480
13.7%
3 436
12.5%
5 346
9.9%
0 319
9.1%
4 318
9.1%
8 258
 
7.4%
6 257
 
7.3%
7 194
 
5.5%
9 168
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 810
99.9%
? 1
 
0.1%
Space Separator
ValueCountFrequency (%)
4564
100.0%
Close Punctuation
ValueCountFrequency (%)
) 884
100.0%
Open Punctuation
ValueCountFrequency (%)
( 884
100.0%
Math Symbol
ValueCountFrequency (%)
~ 74
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16421
60.2%
Common 10720
39.3%
Latin 127
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1106
 
6.7%
로 1021
 
6.2%
서 998
 
6.1%
시 944
 
5.7%
구 943
 
5.7%
울 880
 
5.4%
특 870
 
5.3%
별 870
 
5.3%
층 483
 
2.9%
대 341
 
2.1%
Other values (258) 7965
48.5%
Common
ValueCountFrequency (%)
4564
42.6%
) 884
 
8.2%
( 884
 
8.2%
, 810
 
7.6%
1 724
 
6.8%
2 480
 
4.5%
3 436
 
4.1%
5 346
 
3.2%
0 319
 
3.0%
4 318
 
3.0%
Other values (7) 955
 
8.9%
Latin
ValueCountFrequency (%)
C 16
12.6%
E 16
12.6%
A 13
10.2%
B 12
9.4%
L 11
8.7%
I 9
 
7.1%
F 9
 
7.1%
O 6
 
4.7%
W 6
 
4.7%
R 6
 
4.7%
Other values (5) 23
18.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16421
60.2%
ASCII 10847
39.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4564
42.1%
) 884
 
8.1%
( 884
 
8.1%
, 810
 
7.5%
1 724
 
6.7%
2 480
 
4.4%
3 436
 
4.0%
5 346
 
3.2%
0 319
 
2.9%
4 318
 
2.9%
Other values (22) 1082
 
10.0%
Hangul
ValueCountFrequency (%)
동 1106
 
6.7%
로 1021
 
6.2%
서 998
 
6.1%
시 944
 
5.7%
구 943
 
5.7%
울 880
 
5.4%
특 870
 
5.3%
별 870
 
5.3%
층 483
 
2.9%
대 341
 
2.1%
Other values (258) 7965
48.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct89
Distinct (%)16.8%
Missing372
Missing (%)41.2%
Infinite0
Infinite (%)0.0%
Mean7398.5302
Minimum1055
Maximum138721
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-11T01:07:58.032237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1055
5-th percentile1375.85
Q13478
median5031
Q37305
95-th percentile8292
Maximum138721
Range137666
Interquartile range (IQR)3827

Descriptive statistics

Standard deviation17317.444
Coefficient of variation (CV)2.34066
Kurtosis47.698278
Mean7398.5302
Median Absolute Deviation (MAD)1657.5
Skewness6.972601
Sum3921221
Variance2.9989386 × 108
MonotonicityNot monotonic
2024-05-11T01:07:58.538803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5551 21
 
2.3%
4377 21
 
2.3%
6164 20
 
2.2%
7505 19
 
2.1%
4051 14
 
1.6%
7305 12
 
1.3%
5065 12
 
1.3%
5116 11
 
1.2%
3995 11
 
1.2%
3780 10
 
1.1%
Other values (79) 379
42.0%
(Missing) 372
41.2%
ValueCountFrequency (%)
1055 9
1.0%
1062 6
0.7%
1220 5
0.6%
1334 7
0.8%
1427 1
 
0.1%
1625 5
0.6%
1751 2
 
0.2%
1783 7
0.8%
2002 8
0.9%
2120 7
0.8%
ValueCountFrequency (%)
138721 2
 
0.2%
131858 7
0.8%
110062 1
 
0.1%
8787 5
0.6%
8514 6
0.7%
8292 10
1.1%
8288 10
1.1%
8209 5
0.6%
7998 8
0.9%
7997 9
1.0%

사업장명
Text

Distinct861
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
2024-05-11T01:07:59.169007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length26
Mean length12.045455
Min length3

Characters and Unicode

Total characters10865
Distinct characters291
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

Unique843 ?
Unique (%)93.5%

Sample

1st row롯데시네마 에비뉴엘 <2관>
2nd row롯데시네마 에비뉴엘 <3관>
3rd row롯데시네마 에비뉴엘 샤롯데관
4th row롯데시네마 에비뉴엘 <1관>
5th row롯데시네마 에비뉴엘 <5관>
ValueCountFrequency (%)
롯데시네마 171
 
8.4%
cgv 126
 
6.2%
2관 64
 
3.1%
메가박스중앙(주 60
 
2.9%
1관 58
 
2.8%
3관 52
 
2.5%
4관 48
 
2.3%
5관 47
 
2.3%
메가박스 43
 
2.1%
6관 35
 
1.7%
Other values (510) 1343
65.6%
2024-05-11T01:08:00.320268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1146
 
10.5%
관 795
 
7.3%
네 339
 
3.1%
시 298
 
2.7%
마 297
 
2.7%
( 289
 
2.7%
) 289
 
2.7%
C 262
 
2.4%
제 253
 
2.3%
스 243
 
2.2%
Other values (281) 6654
61.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7020
64.6%
Space Separator 1146
 
10.5%
Uppercase Letter 1045
 
9.6%
Decimal Number 974
 
9.0%
Open Punctuation 295
 
2.7%
Close Punctuation 295
 
2.7%
Lowercase Letter 63
 
0.6%
Math Symbol 13
 
0.1%
Other Punctuation 12
 
0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 795
 
11.3%
네 339
 
4.8%
시 298
 
4.2%
마 297
 
4.2%
제 253
 
3.6%
스 243
 
3.5%
데 204
 
2.9%
롯 200
 
2.8%
가 158
 
2.3%
주 147
 
2.1%
Other values (219) 4086
58.2%
Uppercase Letter
ValueCountFrequency (%)
C 262
25.1%
G 226
21.6%
V 224
21.4%
E 38
 
3.6%
O 36
 
3.4%
T 33
 
3.2%
R 26
 
2.5%
M 25
 
2.4%
N 21
 
2.0%
A 20
 
1.9%
Other values (13) 134
12.8%
Lowercase Letter
ValueCountFrequency (%)
o 9
14.3%
e 7
11.1%
t 6
9.5%
a 6
9.5%
m 6
9.5%
l 5
7.9%
i 4
6.3%
n 4
6.3%
b 4
6.3%
y 4
6.3%
Other values (6) 8
12.7%
Decimal Number
ValueCountFrequency (%)
1 240
24.6%
2 142
14.6%
3 109
11.2%
4 107
11.0%
5 101
10.4%
6 72
 
7.4%
7 55
 
5.6%
8 52
 
5.3%
0 52
 
5.3%
9 44
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 7
58.3%
? 2
 
16.7%
& 2
 
16.7%
. 1
 
8.3%
Math Symbol
ValueCountFrequency (%)
< 6
46.2%
> 6
46.2%
｜ 1
 
7.7%
Open Punctuation
ValueCountFrequency (%)
( 289
98.0%
[ 6
 
2.0%
Close Punctuation
ValueCountFrequency (%)
) 289
98.0%
] 6
 
2.0%
Space Separator
ValueCountFrequency (%)
1146
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7020
64.6%
Common 2737
 
25.2%
Latin 1108
 
10.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 795
 
11.3%
네 339
 
4.8%
시 298
 
4.2%
마 297
 
4.2%
제 253
 
3.6%
스 243
 
3.5%
데 204
 
2.9%
롯 200
 
2.8%
가 158
 
2.3%
주 147
 
2.1%
Other values (219) 4086
58.2%
Latin
ValueCountFrequency (%)
C 262
23.6%
G 226
20.4%
V 224
20.2%
E 38
 
3.4%
O 36
 
3.2%
T 33
 
3.0%
R 26
 
2.3%
M 25
 
2.3%
N 21
 
1.9%
A 20
 
1.8%
Other values (29) 197
17.8%
Common
ValueCountFrequency (%)
1146
41.9%
( 289
 
10.6%
) 289
 
10.6%
1 240
 
8.8%
2 142
 
5.2%
3 109
 
4.0%
4 107
 
3.9%
5 101
 
3.7%
6 72
 
2.6%
7 55
 
2.0%
Other values (13) 187
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7020
64.6%
ASCII 3844
35.4%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1146
29.8%
( 289
 
7.5%
) 289
 
7.5%
C 262
 
6.8%
1 240
 
6.2%
G 226
 
5.9%
V 224
 
5.8%
2 142
 
3.7%
3 109
 
2.8%
4 107
 
2.8%
Other values (51) 810
21.1%
Hangul
ValueCountFrequency (%)
관 795
 
11.3%
네 339
 
4.8%
시 298
 
4.2%
마 297
 
4.2%
제 253
 
3.6%
스 243
 
3.5%
데 204
 
2.9%
롯 200
 
2.8%
가 158
 
2.3%
주 147
 
2.1%
Other values (219) 4086
58.2%
None
ValueCountFrequency (%)
｜ 1
100.0%

최종수정일자
Date

Distinct786
Distinct (%)87.1%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
Minimum2002-11-09 12:06:33
Maximum2024-04-30 12:58:48
2024-05-11T01:08:00.873027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:08:01.310799image/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 size7.2 KiB
U
587 
I
315 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 587
65.1%
I 315
34.9%

Length

2024-05-11T01:08:01.754558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:08:02.110557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 587
65.1%
i 315
34.9%

데이터갱신일자
Date

Distinct112
Distinct (%)12.4%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:02:00
2024-05-11T01:08:02.482942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:08:02.942373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing902
Missing (%)100.0%
Memory size8.1 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct174
Distinct (%)19.6%
Missing16
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean199183.88
Minimum182524.82
Maximum212501.37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-11T01:08:03.375089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum182524.82
5-th percentile187293.09
Q1193342.68
median199532.89
Q3205130.59
95-th percentile210868.4
Maximum212501.37
Range29976.545
Interquartile range (IQR)11787.915

Descriptive statistics

Standard deviation6988.6828
Coefficient of variation (CV)0.035086589
Kurtosis-0.69790491
Mean199183.88
Median Absolute Deviation (MAD)5778.4648
Skewness-0.21545361
Sum1.7647691 × 108
Variance48841687
MonotonicityNot monotonic
2024-05-11T01:08:03.874378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
205130.591678902 32
 
3.5%
209074.900840074 21
 
2.3%
194649.344011611 20
 
2.2%
182524.823835629 19
 
2.1%
202262.457856142 18
 
2.0%
191385.057392247 12
 
1.3%
193105.3351414 12
 
1.3%
206349.675048285 12
 
1.3%
196762.077394917 11
 
1.2%
208394.416382167 11
 
1.2%
Other values (164) 718
79.6%
(Missing) 16
 
1.8%
ValueCountFrequency (%)
182524.823835629 19
2.1%
185371.298773738 6
 
0.7%
185574.937191115 5
 
0.6%
186729.588621957 1
 
0.1%
186966.036176588 6
 
0.7%
187210.917773717 8
0.9%
187539.590134186 1
 
0.1%
187670.416423662 2
 
0.2%
187923.919592336 1
 
0.1%
188884.075622342 8
0.9%
ValueCountFrequency (%)
212501.369116329 6
 
0.7%
211277.491155668 4
 
0.4%
211053.119518 7
 
0.8%
211008.019335434 10
1.1%
210992.497270009 9
1.0%
210986.460698452 1
 
0.1%
210960.413495191 6
 
0.7%
210868.397496689 9
1.0%
209074.900840074 21
2.3%
208589.363343145 8
 
0.9%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct174
Distinct (%)19.6%
Missing16
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean449478.28
Minimum440511.56
Maximum463796.38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-11T01:08:04.377905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum440511.56
5-th percentile442407.2
Q1445657.81
median449282.31
Q3451852.44
95-th percentile459730.44
Maximum463796.38
Range23284.82
Interquartile range (IQR)6194.6314

Descriptive statistics

Standard deviation4926.6058
Coefficient of variation (CV)0.010960721
Kurtosis0.17628973
Mean449478.28
Median Absolute Deviation (MAD)3121.7666
Skewness0.67141829
Sum3.9823776 × 108
Variance24271445
MonotonicityNot monotonic
2024-05-11T01:08:04.967354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
445590.096837802 32
 
3.5%
445657.80932984 21
 
2.3%
450478.352188795 20
 
2.2%
451438.25089679 19
 
2.1%
444382.542260289 18
 
2.0%
446098.555926507 12
 
1.3%
450464.444202107 12
 
1.3%
448396.939704285 12
 
1.3%
447480.039577359 11
 
1.2%
448165.279999905 11
 
1.2%
Other values (164) 718
79.6%
(Missing) 16
 
1.8%
ValueCountFrequency (%)
440511.561175378 2
 
0.2%
440808.541334678 8
0.9%
441050.381486049 1
 
0.1%
441716.684586176 6
0.7%
441725.293491662 1
 
0.1%
441953.57184435 1
 
0.1%
442026.988783 7
0.8%
442053.227933005 9
1.0%
442094.085759338 5
0.6%
442123.517997162 3
 
0.3%
ValueCountFrequency (%)
463796.381217133 5
0.6%
462533.430210964 7
0.8%
461419.881795004 10
1.1%
461358.405430652 5
0.6%
461310.667794352 2
 
0.2%
460487.443375594 3
 
0.3%
460003.117654631 9
1.0%
459730.43776924 7
0.8%
459646.827222065 8
0.9%
459609.012509743 5
0.6%

문화체육업종명
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
영화상영관
646 
<NA>
256 

Length

Max length5
Median length5
Mean length4.7161863
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화상영관 646
71.6%
<NA> 256
 
28.4%

Length

2024-05-11T01:08:05.486298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:08:05.899034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화상영관 646
71.6%
na 256
 
28.4%

문화사업자구분명
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
<NA>
475 
영화상영관
427 

Length

Max length5
Median length4
Mean length4.4733925
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 475
52.7%
영화상영관 427
47.3%

Length

2024-05-11T01:08:06.575531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:08:06.960389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 475
52.7%
영화상영관 427
47.3%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct31
Distinct (%)7.8%
Missing505
Missing (%)56.0%
Infinite0
Infinite (%)0.0%
Mean11.516373
Minimum0
Maximum63
Zeros113
Zeros (%)12.5%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-11T01:08:07.282605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median11
Q319
95-th percentile33
Maximum63
Range63
Interquartile range (IQR)19

Descriptive statistics

Standard deviation11.516692
Coefficient of variation (CV)1.0000277
Kurtosis2.3742216
Mean11.516373
Median Absolute Deviation (MAD)9
Skewness1.3463317
Sum4572
Variance132.6342
MonotonicityNot monotonic
2024-05-11T01:08:07.869427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 113
 
12.5%
12 29
 
3.2%
11 26
 
2.9%
10 19
 
2.1%
4 18
 
2.0%
13 18
 
2.0%
19 17
 
1.9%
14 16
 
1.8%
25 15
 
1.7%
21 12
 
1.3%
Other values (21) 114
 
12.6%
(Missing) 505
56.0%
ValueCountFrequency (%)
0 113
12.5%
1 5
 
0.6%
3 11
 
1.2%
4 18
 
2.0%
5 3
 
0.3%
6 3
 
0.3%
7 2
 
0.2%
8 9
 
1.0%
9 6
 
0.7%
10 19
 
2.1%
ValueCountFrequency (%)
63 1
 
0.1%
56 1
 
0.1%
50 5
 
0.6%
43 8
0.9%
41 4
 
0.4%
33 4
 
0.4%
26 2
 
0.2%
25 15
1.7%
24 9
1.0%
23 7
0.8%

주변환경명
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
<NA>
742 
기타
79 
유흥업소밀집지역
 
38
학교정화(상대)
 
21
아파트지역
 
9
Other values (3)
 
13

Length

Max length8
Median length4
Mean length4.1274945
Min length2

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> 742
82.3%
기타 79
 
8.8%
유흥업소밀집지역 38
 
4.2%
학교정화(상대) 21
 
2.3%
아파트지역 9
 
1.0%
주택가주변 6
 
0.7%
결혼예식장주변 6
 
0.7%
학교정화(절대) 1
 
0.1%

Length

2024-05-11T01:08:08.406312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:08:08.948732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 742
82.3%
기타 79
 
8.8%
유흥업소밀집지역 38
 
4.2%
학교정화(상대 21
 
2.3%
아파트지역 9
 
1.0%
주택가주변 6
 
0.7%
결혼예식장주변 6
 
0.7%
학교정화(절대 1
 
0.1%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing902
Missing (%)100.0%
Memory size8.1 KiB

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)3.6%
Missing680
Missing (%)75.4%
Infinite0
Infinite (%)0.0%
Mean441.16689
Minimum0
Maximum13761
Zeros208
Zeros (%)23.1%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-11T01:08:09.350484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile120.385
Maximum13761
Range13761
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2409.2667
Coefficient of variation (CV)5.4611232
Kurtosis27.365452
Mean441.16689
Median Absolute Deviation (MAD)0
Skewness5.3951742
Sum97939.05
Variance5804566.2
MonotonicityNot monotonic
2024-05-11T01:08:09.821636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.0 208
 
23.1%
13761.0 7
 
0.8%
118.2 2
 
0.2%
120.5 1
 
0.1%
179.9 1
 
0.1%
356.4 1
 
0.1%
343.2 1
 
0.1%
375.65 1
 
0.1%
(Missing) 680
75.4%
ValueCountFrequency (%)
0.0 208
23.1%
118.2 2
 
0.2%
120.5 1
 
0.1%
179.9 1
 
0.1%
343.2 1
 
0.1%
356.4 1
 
0.1%
375.65 1
 
0.1%
13761.0 7
 
0.8%
ValueCountFrequency (%)
13761.0 7
 
0.8%
375.65 1
 
0.1%
356.4 1
 
0.1%
343.2 1
 
0.1%
179.9 1
 
0.1%
120.5 1
 
0.1%
118.2 2
 
0.2%
0.0 208
23.1%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct25
Distinct (%)5.2%
Missing423
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean10.448852
Minimum0
Maximum60
Zeros76
Zeros (%)8.4%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-11T01:08:10.378685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median9
Q315
95-th percentile33.7
Maximum60
Range60
Interquartile range (IQR)11

Descriptive statistics

Standard deviation9.3379705
Coefficient of variation (CV)0.89368389
Kurtosis4.7177893
Mean10.448852
Median Absolute Deviation (MAD)5
Skewness1.8540203
Sum5005
Variance87.197692
MonotonicityNot monotonic
2024-05-11T01:08:10.954382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 76
 
8.4%
15 55
 
6.1%
10 50
 
5.5%
9 45
 
5.0%
3 33
 
3.7%
8 30
 
3.3%
11 25
 
2.8%
12 23
 
2.5%
14 18
 
2.0%
6 15
 
1.7%
Other values (15) 109
 
12.1%
(Missing) 423
46.9%
ValueCountFrequency (%)
0 76
8.4%
1 5
 
0.6%
2 1
 
0.1%
3 33
3.7%
4 13
 
1.4%
5 11
 
1.2%
6 15
 
1.7%
7 12
 
1.3%
8 30
 
3.3%
9 45
5.0%
ValueCountFrequency (%)
60 1
 
0.1%
42 5
 
0.6%
41 10
1.1%
40 8
0.9%
33 2
 
0.2%
23 6
 
0.7%
22 2
 
0.2%
20 15
1.7%
17 9
1.0%
16 9
1.0%

지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)2.2%
Missing443
Missing (%)49.1%
Infinite0
Infinite (%)0.0%
Mean3.3398693
Minimum0
Maximum16
Zeros80
Zeros (%)8.9%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-11T01:08:11.474994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q35
95-th percentile8
Maximum16
Range16
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.4729896
Coefficient of variation (CV)0.74044504
Kurtosis0.37967706
Mean3.3398693
Median Absolute Deviation (MAD)2
Skewness0.51330682
Sum1533
Variance6.1156777
MonotonicityNot monotonic
2024-05-11T01:08:11.946258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
3 93
 
10.3%
0 80
 
8.9%
4 62
 
6.9%
6 51
 
5.7%
2 45
 
5.0%
1 44
 
4.9%
5 29
 
3.2%
8 27
 
3.0%
7 27
 
3.0%
16 1
 
0.1%
(Missing) 443
49.1%
ValueCountFrequency (%)
0 80
8.9%
1 44
4.9%
2 45
5.0%
3 93
10.3%
4 62
6.9%
5 29
 
3.2%
6 51
5.7%
7 27
 
3.0%
8 27
 
3.0%
16 1
 
0.1%
ValueCountFrequency (%)
16 1
 
0.1%
8 27
 
3.0%
7 27
 
3.0%
6 51
5.7%
5 29
 
3.2%
4 62
6.9%
3 93
10.3%
2 45
5.0%
1 44
4.9%
0 80
8.9%

건물용도명
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
<NA>
590 
문화시설
241 
근린생활시설
 
46
기타
 
15
유통시설
 
8
Other values (2)
 
2

Length

Max length6
Median length4
Mean length4.0698448
Min length2

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 590
65.4%
문화시설 241
26.7%
근린생활시설 46
 
5.1%
기타 15
 
1.7%
유통시설 8
 
0.9%
사무실 1
 
0.1%
교육연구시설 1
 
0.1%

Length

2024-05-11T01:08:12.486523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:08:12.894390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 590
65.4%
문화시설 241
26.7%
근린생활시설 46
 
5.1%
기타 15
 
1.7%
유통시설 8
 
0.9%
사무실 1
 
0.1%
교육연구시설 1
 
0.1%

통로너비
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)3.1%
Missing708
Missing (%)78.5%
Infinite0
Infinite (%)0.0%
Mean0.26314433
Minimum0
Maximum1.6
Zeros145
Zeros (%)16.1%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-11T01:08:13.394928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.75
95-th percentile1
Maximum1.6
Range1.6
Interquartile range (IQR)0.75

Descriptive statistics

Standard deviation0.45864738
Coefficient of variation (CV)1.7429499
Kurtosis-0.24092618
Mean0.26314433
Median Absolute Deviation (MAD)0
Skewness1.2408393
Sum51.05
Variance0.21035742
MonotonicityNot monotonic
2024-05-11T01:08:13.814506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.0 145
 
16.1%
1.0 40
 
4.4%
1.05 5
 
0.6%
1.6 2
 
0.2%
1.4 1
 
0.1%
1.2 1
 
0.1%
(Missing) 708
78.5%
ValueCountFrequency (%)
0.0 145
16.1%
1.0 40
 
4.4%
1.05 5
 
0.6%
1.2 1
 
0.1%
1.4 1
 
0.1%
1.6 2
 
0.2%
ValueCountFrequency (%)
1.6 2
 
0.2%
1.4 1
 
0.1%
1.2 1
 
0.1%
1.05 5
 
0.6%
1.0 40
 
4.4%
0.0 145
16.1%

조명시설조도
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
<NA>
745 
0
157 

Length

Max length4
Median length4
Mean length3.4778271
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> 745
82.6%
0 157
 
17.4%

Length

2024-05-11T01:08:14.543904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:08:15.012103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 745
82.6%
0 157
 
17.4%

노래방실수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
<NA>
745 
0
157 

Length

Max length4
Median length4
Mean length3.4778271
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> 745
82.6%
0 157
 
17.4%

Length

2024-05-11T01:08:15.807663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:08:16.227592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 745
82.6%
0 157
 
17.4%

청소년실수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
<NA>
745 
0
157 

Length

Max length4
Median length4
Mean length3.4778271
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> 745
82.6%
0 157
 
17.4%

Length

2024-05-11T01:08:16.728934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:08:17.215046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 745
82.6%
0 157
 
17.4%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing902
Missing (%)100.0%
Memory size8.1 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing902
Missing (%)100.0%
Memory size8.1 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing902
Missing (%)100.0%
Memory size8.1 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing902
Missing (%)100.0%
Memory size8.1 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing902
Missing (%)100.0%
Memory size8.1 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing902
Missing (%)100.0%
Memory size8.1 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing902
Missing (%)100.0%
Memory size8.1 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing902
Missing (%)100.0%
Memory size8.1 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing902
Missing (%)100.0%
Memory size8.1 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing902
Missing (%)100.0%
Memory size8.1 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing902
Missing (%)100.0%
Memory size8.1 KiB

총게임기수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
<NA>
745 
0
157 

Length

Max length4
Median length4
Mean length3.4778271
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> 745
82.6%
0 157
 
17.4%

Length

2024-05-11T01:08:18.206532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:08:18.645912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 745
82.6%
0 157
 
17.4%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing902
Missing (%)100.0%
Memory size8.1 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing902
Missing (%)100.0%
Memory size8.1 KiB

공연장형태구분명
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
영화관
593 
<NA>
304 
자동차극장
 
5

Length

Max length5
Median length3
Mean length3.3481153
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화관 593
65.7%
<NA> 304
33.7%
자동차극장 5
 
0.6%

Length

2024-05-11T01:08:19.396381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:08:19.980118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화관 593
65.7%
na 304
33.7%
자동차극장 5
 
0.6%

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing902
Missing (%)100.0%
Memory size8.1 KiB

최초등록시점
Real number (ℝ)

MISSING 

Distinct183
Distinct (%)28.3%
Missing256
Missing (%)28.4%
Infinite0
Infinite (%)0.0%
Mean20062288
Minimum19580121
Maximum20211020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-11T01:08:20.437866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19580121
5-th percentile19960652
Q120020425
median20050866
Q320120224
95-th percentile20180515
Maximum20211020
Range630899
Interquartile range (IQR)99799

Descriptive statistics

Standard deviation75939.009
Coefficient of variation (CV)0.003785162
Kurtosis5.7516987
Mean20062288
Median Absolute Deviation (MAD)40048
Skewness-1.0446801
Sum1.2960238 × 1010
Variance5.7667331 × 109
MonotonicityNot monotonic
2024-05-11T01:08:21.263975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20030212 25
 
2.8%
20141014 20
 
2.2%
20000504 14
 
1.6%
20120511 11
 
1.2%
20170714 10
 
1.1%
20071115 10
 
1.1%
20090723 10
 
1.1%
20040715 10
 
1.1%
20050623 10
 
1.1%
20111206 9
 
1.0%
Other values (173) 517
57.3%
(Missing) 256
28.4%
ValueCountFrequency (%)
19580121 1
0.1%
19620202 1
0.1%
19630708 1
0.1%
19690726 1
0.1%
19830604 1
0.1%
19830730 1
0.1%
19870926 1
0.1%
19890706 1
0.1%
19890807 1
0.1%
19891208 1
0.1%
ValueCountFrequency (%)
20211020 1
 
0.1%
20210705 6
0.7%
20201005 8
0.9%
20200608 7
0.8%
20190822 3
 
0.3%
20190125 6
0.7%
20180713 1
 
0.1%
20180515 1
 
0.1%
20180514 1
 
0.1%
20180126 5
0.6%

지역구분명
Categorical

IMBALANCE 

Distinct10
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
<NA>
667 
일반상업지역
70 
상업지역
 
64
준주거지역
 
34
근린상업지역
 
26
Other values (5)
 
41

Length

Max length6
Median length4
Mean length4.3237251
Min length4

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 667
73.9%
일반상업지역 70
 
7.8%
상업지역 64
 
7.1%
준주거지역 34
 
3.8%
근린상업지역 26
 
2.9%
일반주거지역 16
 
1.8%
준공업지역 14
 
1.6%
자연녹지지역 9
 
1.0%
관리지역 1
 
0.1%
전용공업지역 1
 
0.1%

Length

2024-05-11T01:08:22.028727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:08:22.460236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 667
73.9%
일반상업지역 70
 
7.8%
상업지역 64
 
7.1%
준주거지역 34
 
3.8%
근린상업지역 26
 
2.9%
일반주거지역 16
 
1.8%
준공업지역 14
 
1.6%
자연녹지지역 9
 
1.0%
관리지역 1
 
0.1%
전용공업지역 1
 
0.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03010000CDFF42200020050000022005-03-22<NA>1영업/정상13영업중<NA><NA><NA><NA>2118-5443<NA><NA>서울특별시 중구 남대문로2가 130서울특별시 중구 남대문로 73, 6~7층 (남대문로2가, AVENUEL)4533롯데시네마 에비뉴엘 <2관>2023-03-24 10:13:09U2022-12-02 22:06:00.0<NA>198333.470885451313.412912<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>
13010000CDFF42200020050000032005-03-22<NA>1영업/정상13영업중<NA><NA><NA><NA>2118-5443<NA><NA>서울특별시 중구 남대문로2가 130서울특별시 중구 남대문로 73, 6~7층 (남대문로2가, AVENUEL)4533롯데시네마 에비뉴엘 <3관>2023-03-24 10:13:36U2022-12-02 22:06:00.0<NA>198333.470885451313.412912<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>
23010000CDFF42200020050000012005-03-22<NA>1영업/정상13영업중<NA><NA><NA><NA>2118-5443<NA><NA>서울특별시 중구 남대문로2가 130서울특별시 중구 남대문로 73, 6~7층 (남대문로2가, AVENUEL)4533롯데시네마 에비뉴엘 샤롯데관2023-03-24 10:12:52U2022-12-02 22:06:00.0<NA>198333.470885451313.412912<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>
33010000CDFF42200020050000052005-03-22<NA>1영업/정상13영업중<NA><NA><NA><NA>2118-5443<NA><NA>서울특별시 중구 남대문로2가 130서울특별시 중구 남대문로 73, 6~7층 (남대문로2가, AVENUEL)4533롯데시네마 에비뉴엘 <1관>2023-03-24 10:14:05U2022-12-02 22:06:00.0<NA>198333.470885451313.412912<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>
43010000CDFF42200020050000042005-03-22<NA>1영업/정상13영업중<NA><NA><NA><NA>2118-5443<NA><NA>서울특별시 중구 남대문로2가 130서울특별시 중구 남대문로 73, 6~7층 (남대문로2가, AVENUEL)4533롯데시네마 에비뉴엘 <5관>2023-03-24 10:13:52U2022-12-02 22:06:00.0<NA>198333.470885451313.412912<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>
53080000CDFF42200020170000052017-04-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 번동 449-1서울특별시 강북구 도봉로 308 (번동)1062(주)써니트 롯데시네마 수유2023-05-25 10:36:03U2022-12-04 22:07:00.0<NA>202032.757632459259.443979<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>
63130000CDFF42200020220000012022-02-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 동교동 166-14 동교동 스타피카소서울특별시 마포구 양화로 176, 2관 8층 (동교동)4051독립영화전용관 인디스페이스2023-11-01 16:20:31U2022-11-01 00:04:00.0<NA>193282.1308450549.280167<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>
73130000CDFF42200020080000012008-01-02<NA>3폐업03폐업2022-08-03<NA><NA><NA>3143-7180<NA><NA>서울특별시 마포구 동교동 166-6서울특별시 마포구 양화로 176 (동교동)4051롯데시네마 홍대입구관 제1관2023-05-04 18:04:32U2022-12-05 00:07:00.0<NA>193330.714127450564.513156<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>
83090000CDFF422000202200000520220420<NA>1영업/정상13영업중<NA><NA><NA><NA>02-526-8859<NA><NA>서울특별시 도봉구 방학동 707-6서울특별시 도봉구 도봉로 684, 4~5층 (방학동)1334CGV 방학 4관2022-04-20 15:57:47I2021-12-03 22:02:00.0<NA>203799.865284462533.430211<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>
93090000CDFF422000202200000720220420<NA>1영업/정상13영업중<NA><NA><NA><NA>02-526-8859<NA><NA>서울특별시 도봉구 방학동 707-6서울특별시 도봉구 도봉로 684, 4~5층 (방학동)1334CGV 방학 6관2022-04-20 15:59:48I2021-12-03 22:02:00.0<NA>203799.865284462533.430211<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>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
8923240000CDFF422000200400001020040715<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>134840서울특별시 강동구 성내동 44-1번지서울특별시 강동구 천호옛길 85 (성내동)<NA>롯데시네마 9관2008-05-13 14:51:36I2018-08-31 23:59:59.0<NA>211008.019335448270.500366영화상영관영화상영관13기타<NA><NA>103문화시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20040715준주거지역
8933240000CDFF422000200400001120040715<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 성내동 44-1번지서울특별시 강동구 천호옛길 85 (성내동)<NA>롯데시네마 10관2017-11-22 14:38:59I2018-08-31 23:59:59.0<NA>211008.019335448270.500366영화상영관영화상영관13기타<NA><NA>103문화시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20040715준주거지역
8943240000CDFF422000200500000120050613<NA>1영업/정상13영업중<NA><NA><NA><NA>02-482-8746<NA><NA>서울특별시 강동구 성내동 549-1번지서울특별시 강동구 성내로 48 (성내동)<NA>메가박스 강동72018-05-30 17:19:18I2018-08-31 23:59:59.0<NA>210992.49727447372.617183영화상영관영화상영관10<NA><NA><NA>82<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20050613<NA>
8953240000CDFF422000200500000220050613<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 성내동 549-1번지서울특별시 강동구 성내로 48 (성내동)<NA>메가박스 강동82018-05-30 17:20:34I2018-08-31 23:59:59.0<NA>210992.49727447372.617183영화상영관영화상영관10<NA><NA><NA>82<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20050613<NA>
8963240000CDFF422000201500000220150706<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 42서울특별시 강동구 양재대로 1571, 4층 (천호동)5314CGV 천호 2관2021-04-22 11:12:08U2021-04-24 02:40:00.0<NA>212501.369116449282.310384영화상영관<NA><NA><NA><NA><NA>86<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20150706<NA>
8973240000CDFF422000201500000320150706<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 42서울특별시 강동구 양재대로 1571, 4층 (천호동)5314CGV 천호 3관2021-04-22 11:12:17U2021-04-24 02:40:00.0<NA>212501.369116449282.310384영화상영관<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>영화관<NA>20150706<NA>
8983240000CDFF422000201500000420150706<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 42서울특별시 강동구 양재대로 1571, 4층 (천호동)5314CGV 천호 4관2021-04-22 11:12:29U2021-04-24 02:40:00.0<NA>212501.369116449282.310384영화상영관<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>영화관<NA>20150706<NA>
8993240000CDFF422000201500000520150706<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 42서울특별시 강동구 양재대로 1571, 4층 (천호동)5314CGV 천호 5관2021-04-22 11:12:39U2021-04-24 02:40:00.0<NA>212501.369116449282.310384영화상영관<NA><NA><NA><NA><NA>86<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20150706<NA>
9003240000CDFF422000201500000620150706<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 42서울특별시 강동구 양재대로 1571, 4층 (천호동)5314CGV 천호 6관2021-04-22 11:16:11U2021-04-24 02:40:00.0<NA>212501.369116449282.310384영화상영관<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>영화관<NA>20150706<NA>
9013050000CDFF422000201000000120100818<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 전농동 591-53 청량리민자역사 8층,9층서울특별시 동대문구 왕산로 214, 8층,9층 (전농동, 청량리민자역사)2555롯데시네마청량리 제1관2022-05-03 10:02:33U2021-12-05 00:05:00.0<NA>204081.282117453187.395154<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>