Overview

Dataset statistics

Number of variables56
Number of observations9251
Missing cells258586
Missing cells (%)49.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.3 MiB
Average record size in memory483.0 B

Variable types

Numeric8
Text8
DateTime5
Categorical14
Unsupported21

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-16042/S/1/datasetView.do

Alerts

영업상태코드 is highly imbalanced (57.1%)Imbalance
영업상태명 is highly imbalanced (57.1%)Imbalance
상세영업상태명 is highly imbalanced (72.7%)Imbalance
문화사업자구분명 is highly imbalanced (50.3%)Imbalance
주변환경명 is highly imbalanced (95.1%)Imbalance
건물용도명 is highly imbalanced (94.1%)Imbalance
지역구분명 is highly imbalanced (93.6%)Imbalance
인허가취소일자 has 9245 (99.9%) missing valuesMissing
폐업일자 has 7605 (82.2%) missing valuesMissing
휴업시작일자 has 9251 (100.0%) missing valuesMissing
휴업종료일자 has 9251 (100.0%) missing valuesMissing
재개업일자 has 9251 (100.0%) missing valuesMissing
전화번호 has 5403 (58.4%) missing valuesMissing
소재지면적 has 9251 (100.0%) missing valuesMissing
소재지우편번호 has 8295 (89.7%) missing valuesMissing
도로명우편번호 has 1480 (16.0%) missing valuesMissing
업태구분명 has 9251 (100.0%) missing valuesMissing
좌표정보(X) has 205 (2.2%) missing valuesMissing
좌표정보(Y) has 205 (2.2%) missing valuesMissing
총층수 has 7803 (84.3%) missing valuesMissing
제작취급품목내용 has 3817 (41.3%) missing valuesMissing
시설면적 has 4579 (49.5%) missing valuesMissing
지상층수 has 7729 (83.5%) missing valuesMissing
지하층수 has 7857 (84.9%) missing valuesMissing
비상계단여부 has 9251 (100.0%) missing valuesMissing
비상구여부 has 9251 (100.0%) missing valuesMissing
자동환기여부 has 9251 (100.0%) missing valuesMissing
청소년실여부 has 9251 (100.0%) missing valuesMissing
특수조명여부 has 9251 (100.0%) missing valuesMissing
방음시설여부 has 9251 (100.0%) missing valuesMissing
비디오재생기명 has 9251 (100.0%) missing valuesMissing
조명시설유무 has 9251 (100.0%) missing valuesMissing
음향시설여부 has 9251 (100.0%) missing valuesMissing
편의시설여부 has 9251 (100.0%) missing valuesMissing
소방시설여부 has 9251 (100.0%) missing valuesMissing
기존게임업외업종명 has 9251 (100.0%) missing valuesMissing
제공게임물명 has 9251 (100.0%) missing valuesMissing
공연장형태구분명 has 9251 (100.0%) missing valuesMissing
품목명 has 9251 (100.0%) missing valuesMissing
최초등록시점 has 9251 (100.0%) missing valuesMissing
시설면적 is highly skewed (γ1 = 39.85622736)Skewed
최종수정일자 has unique valuesUnique
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
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 1188 (12.8%) zerosZeros
시설면적 has 426 (4.6%) zerosZeros
지상층수 has 1166 (12.6%) zerosZeros
지하층수 has 1204 (13.0%) zerosZeros

Reproduction

Analysis started2024-04-29 18:49:30.555413
Analysis finished2024-04-29 18:49:32.846378
Duration2.29 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Real number (ℝ)

Distinct25
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3153788.8
Minimum3000000
Maximum3240000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size81.4 KiB
2024-04-30T03:49:32.914035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3010000
Q13130000
median3170000
Q33220000
95-th percentile3220000
Maximum3240000
Range240000
Interquartile range (IQR)90000

Descriptive statistics

Standard deviation71193.762
Coefficient of variation (CV)0.022574042
Kurtosis-0.44867615
Mean3153788.8
Median Absolute Deviation (MAD)50000
Skewness-0.87114173
Sum2.91757 × 1010
Variance5.0685517 × 109
MonotonicityNot monotonic
2024-04-30T03:49:33.028721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
3220000 2182
23.6%
3130000 1235
13.3%
3210000 990
10.7%
3180000 741
 
8.0%
3150000 472
 
5.1%
3170000 447
 
4.8%
3010000 352
 
3.8%
3020000 323
 
3.5%
3230000 319
 
3.4%
3030000 315
 
3.4%
Other values (15) 1875
20.3%
ValueCountFrequency (%)
3000000 285
3.1%
3010000 352
3.8%
3020000 323
3.5%
3030000 315
3.4%
3040000 157
1.7%
3050000 87
 
0.9%
3060000 56
 
0.6%
3070000 94
 
1.0%
3080000 48
 
0.5%
3090000 42
 
0.5%
ValueCountFrequency (%)
3240000 109
 
1.2%
3230000 319
 
3.4%
3220000 2182
23.6%
3210000 990
10.7%
3200000 114
 
1.2%
3190000 91
 
1.0%
3180000 741
 
8.0%
3170000 447
 
4.8%
3160000 269
 
2.9%
3150000 472
 
5.1%
Distinct2565
Distinct (%)27.7%
Missing0
Missing (%)0.0%
Memory size72.4 KiB
2024-04-30T03:49:33.194932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters185020
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

Unique1092 ?
Unique (%)11.8%

Sample

1st rowCDFF1241072023000018
2nd rowCDFF1241072023000021
3rd rowCDFF1241072021000081
4th rowCDFF1241072023000010
5th rowCDFF1241072021000037
ValueCountFrequency (%)
cdff1241072023000004 25
 
0.3%
cdff1241072021000001 25
 
0.3%
cdff1241072023000003 25
 
0.3%
cdff1241072022000003 25
 
0.3%
cdff1241072021000004 25
 
0.3%
cdff1241072023000006 25
 
0.3%
cdff1241072023000007 25
 
0.3%
cdff1241072024000001 25
 
0.3%
cdff1241072022000001 24
 
0.3%
cdff1241072023000009 24
 
0.3%
Other values (2555) 9003
97.3%
2024-04-30T03:49:33.474268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 61075
33.0%
1 27041
14.6%
2 26582
14.4%
F 18502
 
10.0%
4 11584
 
6.3%
7 10966
 
5.9%
C 9251
 
5.0%
D 9251
 
5.0%
3 3290
 
1.8%
9 2099
 
1.1%
Other values (3) 5379
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 148016
80.0%
Uppercase Letter 37004
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 61075
41.3%
1 27041
18.3%
2 26582
18.0%
4 11584
 
7.8%
7 10966
 
7.4%
3 3290
 
2.2%
9 2099
 
1.4%
6 1876
 
1.3%
5 1797
 
1.2%
8 1706
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
F 18502
50.0%
C 9251
25.0%
D 9251
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 148016
80.0%
Latin 37004
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 61075
41.3%
1 27041
18.3%
2 26582
18.0%
4 11584
 
7.8%
7 10966
 
7.4%
3 3290
 
2.2%
9 2099
 
1.4%
6 1876
 
1.3%
5 1797
 
1.2%
8 1706
 
1.2%
Latin
ValueCountFrequency (%)
F 18502
50.0%
C 9251
25.0%
D 9251
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 185020
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 61075
33.0%
1 27041
14.6%
2 26582
14.4%
F 18502
 
10.0%
4 11584
 
6.3%
7 10966
 
5.9%
C 9251
 
5.0%
D 9251
 
5.0%
3 3290
 
1.8%
9 2099
 
1.1%
Other values (3) 5379
 
2.9%
Distinct3997
Distinct (%)43.2%
Missing0
Missing (%)0.0%
Memory size72.4 KiB
Minimum1981-09-22 00:00:00
Maximum2024-04-25 00:00:00
2024-04-30T03:49:33.725447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:49:33.836894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Date

MISSING 

Distinct3
Distinct (%)50.0%
Missing9245
Missing (%)99.9%
Memory size72.4 KiB
Minimum2010-12-31 00:00:00
Maximum2023-12-27 00:00:00
2024-04-30T03:49:33.932674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:49:34.025715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size72.4 KiB
1
7594 
3
1073 
5
 
568
4
 
16

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row5
4th row1
5th row5

Common Values

ValueCountFrequency (%)
1 7594
82.1%
3 1073
 
11.6%
5 568
 
6.1%
4 16
 
0.2%

Length

2024-04-30T03:49:34.121950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:49:34.211698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 7594
82.1%
3 1073
 
11.6%
5 568
 
6.1%
4 16
 
0.2%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size72.4 KiB
영업/정상
7594 
폐업
1073 
제외/삭제/전출
 
568
취소/말소/만료/정지/중지
 
16

Length

Max length14
Median length5
Mean length4.8517998
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 7594
82.1%
폐업 1073
 
11.6%
제외/삭제/전출 568
 
6.1%
취소/말소/만료/정지/중지 16
 
0.2%

Length

2024-04-30T03:49:34.297463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:49:34.387707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 7594
82.1%
폐업 1073
 
11.6%
제외/삭제/전출 568
 
6.1%
취소/말소/만료/정지/중지 16
 
0.2%

상세영업상태코드
Real number (ℝ)

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.003675
Minimum3
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size81.4 KiB
2024-04-30T03:49:34.465351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q113
median13
Q313
95-th percentile15
Maximum35
Range32
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.4057483
Coefficient of variation (CV)0.28372546
Kurtosis5.5250053
Mean12.003675
Median Absolute Deviation (MAD)0
Skewness-1.625163
Sum111046
Variance11.599122
MonotonicityNot monotonic
2024-04-30T03:49:34.546278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
13 7593
82.1%
3 1071
 
11.6%
15 568
 
6.1%
31 6
 
0.1%
35 6
 
0.1%
32 3
 
< 0.1%
34 2
 
< 0.1%
30 1
 
< 0.1%
14 1
 
< 0.1%
ValueCountFrequency (%)
3 1071
 
11.6%
13 7593
82.1%
14 1
 
< 0.1%
15 568
 
6.1%
30 1
 
< 0.1%
31 6
 
0.1%
32 3
 
< 0.1%
34 2
 
< 0.1%
35 6
 
0.1%
ValueCountFrequency (%)
35 6
 
0.1%
34 2
 
< 0.1%
32 3
 
< 0.1%
31 6
 
0.1%
30 1
 
< 0.1%
15 568
 
6.1%
14 1
 
< 0.1%
13 7593
82.1%
3 1071
 
11.6%

상세영업상태명
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size72.4 KiB
영업중
7593 
폐업
1071 
전출
 
568
등록취소
 
6
직권말소
 
6
Other values (4)
 
7

Length

Max length5
Median length3
Mean length2.8248838
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 7593
82.1%
폐업 1071
 
11.6%
전출 568
 
6.1%
등록취소 6
 
0.1%
직권말소 6
 
0.1%
신고취소 3
 
< 0.1%
영업장폐쇄 2
 
< 0.1%
허가취소 1
 
< 0.1%
전입 1
 
< 0.1%

Length

2024-04-30T03:49:34.651221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:49:34.758764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 7593
82.1%
폐업 1071
 
11.6%
전출 568
 
6.1%
등록취소 6
 
0.1%
직권말소 6
 
0.1%
신고취소 3
 
< 0.1%
영업장폐쇄 2
 
< 0.1%
허가취소 1
 
< 0.1%
전입 1
 
< 0.1%

폐업일자
Date

MISSING 

Distinct1127
Distinct (%)68.5%
Missing7605
Missing (%)82.2%
Memory size72.4 KiB
Minimum2000-11-15 00:00:00
Maximum2024-04-25 00:00:00
2024-04-30T03:49:34.871705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:49:34.992938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9251
Missing (%)100.0%
Memory size81.4 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9251
Missing (%)100.0%
Memory size81.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9251
Missing (%)100.0%
Memory size81.4 KiB

전화번호
Text

MISSING 

Distinct3705
Distinct (%)96.3%
Missing5403
Missing (%)58.4%
Memory size72.4 KiB
2024-04-30T03:49:35.180171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length15
Mean length10.757277
Min length1

Characters and Unicode

Total characters41394
Distinct characters17
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3575 ?
Unique (%)92.9%

Sample

1st row02-3446-9481
2nd row070-8065-3942
3rd row023624220
4th row02-868-2008
5th row02-6356-1000
ValueCountFrequency (%)
02 38
 
1.0%
10
 
0.3%
070 9
 
0.2%
02-735-0424 3
 
0.1%
02-469-0466 3
 
0.1%
532-1473 3
 
0.1%
02-6269-0102 3
 
0.1%
02-2017-1690 3
 
0.1%
02-545-0085 2
 
0.1%
02-3422-5612 2
 
0.1%
Other values (3744) 3867
98.1%
2024-04-30T03:49:35.497416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6559
15.8%
- 6301
15.2%
2 5641
13.6%
5 3395
8.2%
7 3319
8.0%
3 3100
7.5%
4 2914
7.0%
1 2808
6.8%
6 2753
6.7%
8 2513
 
6.1%
Other values (7) 2091
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 34959
84.5%
Dash Punctuation 6301
 
15.2%
Space Separator 96
 
0.2%
Close Punctuation 18
 
< 0.1%
Other Punctuation 15
 
< 0.1%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6559
18.8%
2 5641
16.1%
5 3395
9.7%
7 3319
9.5%
3 3100
8.9%
4 2914
8.3%
1 2808
8.0%
6 2753
7.9%
8 2513
 
7.2%
9 1957
 
5.6%
Other Punctuation
ValueCountFrequency (%)
' 11
73.3%
, 3
 
20.0%
/ 1
 
6.7%
Dash Punctuation
ValueCountFrequency (%)
- 6301
100.0%
Space Separator
ValueCountFrequency (%)
96
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 41394
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6559
15.8%
- 6301
15.2%
2 5641
13.6%
5 3395
8.2%
7 3319
8.0%
3 3100
7.5%
4 2914
7.0%
1 2808
6.8%
6 2753
6.7%
8 2513
 
6.1%
Other values (7) 2091
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 41394
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6559
15.8%
- 6301
15.2%
2 5641
13.6%
5 3395
8.2%
7 3319
8.0%
3 3100
7.5%
4 2914
7.0%
1 2808
6.8%
6 2753
6.7%
8 2513
 
6.1%
Other values (7) 2091
 
5.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9251
Missing (%)100.0%
Memory size81.4 KiB

소재지우편번호
Text

MISSING 

Distinct494
Distinct (%)51.7%
Missing8295
Missing (%)89.7%
Memory size72.4 KiB
2024-04-30T03:49:35.775084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0020921
Min length6

Characters and Unicode

Total characters5738
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

Unique311 ?
Unique (%)32.5%

Sample

1st row137896
2nd row100-784
3rd row110061
4th row110-040
5th row133845
ValueCountFrequency (%)
158050 20
 
2.1%
150871 13
 
1.4%
137895 13
 
1.4%
150870 12
 
1.3%
152848 11
 
1.2%
158715 10
 
1.0%
150732 10
 
1.0%
140847 9
 
0.9%
137806 9
 
0.9%
153803 9
 
0.9%
Other values (484) 840
87.9%
2024-04-30T03:49:36.153655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1285
22.4%
8 895
15.6%
3 680
11.9%
0 663
11.6%
5 637
11.1%
7 543
9.5%
4 294
 
5.1%
2 290
 
5.1%
9 263
 
4.6%
6 186
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5736
> 99.9%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1285
22.4%
8 895
15.6%
3 680
11.9%
0 663
11.6%
5 637
11.1%
7 543
9.5%
4 294
 
5.1%
2 290
 
5.1%
9 263
 
4.6%
6 186
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5738
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1285
22.4%
8 895
15.6%
3 680
11.9%
0 663
11.6%
5 637
11.1%
7 543
9.5%
4 294
 
5.1%
2 290
 
5.1%
9 263
 
4.6%
6 186
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5738
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1285
22.4%
8 895
15.6%
3 680
11.9%
0 663
11.6%
5 637
11.1%
7 543
9.5%
4 294
 
5.1%
2 290
 
5.1%
9 263
 
4.6%
6 186
 
3.2%
Distinct6212
Distinct (%)67.1%
Missing0
Missing (%)0.0%
Memory size72.4 KiB
2024-04-30T03:49:36.407289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length47
Mean length26.79105
Min length13

Characters and Unicode

Total characters247844
Distinct characters658
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5149 ?
Unique (%)55.7%

Sample

1st row서울특별시 영등포구 당산동*가 ***
2nd row서울특별시 강서구 마곡동 ***-* 프라이빗타워타워*차 ***호
3rd row서울특별시 영등포구 당산동*가 ***-* THE PARK ***
4th row서울특별시 중구 을지로*가 ***-** 재능빌딩
5th row서울특별시 종로구 종로*가 **-* 삼양빌딩
ValueCountFrequency (%)
서울특별시 9250
19.7%
4992
 
10.7%
번지 4155
 
8.9%
강남구 2181
 
4.7%
1762
 
3.8%
마포구 1233
 
2.6%
서초구 990
 
2.1%
948
 
2.0%
논현동 760
 
1.6%
영등포구 740
 
1.6%
Other values (4062) 19855
42.4%
2024-04-30T03:49:36.786251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 46972
19.0%
42320
17.1%
11804
 
4.8%
10366
 
4.2%
9865
 
4.0%
9421
 
3.8%
9379
 
3.8%
9259
 
3.7%
9251
 
3.7%
- 7746
 
3.1%
Other values (648) 81461
32.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 147356
59.5%
Other Punctuation 47126
 
19.0%
Space Separator 42320
 
17.1%
Dash Punctuation 7746
 
3.1%
Uppercase Letter 1951
 
0.8%
Decimal Number 614
 
0.2%
Lowercase Letter 471
 
0.2%
Close Punctuation 93
 
< 0.1%
Open Punctuation 92
 
< 0.1%
Letter Number 60
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
11804
 
8.0%
10366
 
7.0%
9865
 
6.7%
9421
 
6.4%
9379
 
6.4%
9259
 
6.3%
9251
 
6.3%
4759
 
3.2%
4191
 
2.8%
3045
 
2.1%
Other values (574) 66016
44.8%
Uppercase Letter
ValueCountFrequency (%)
C 188
 
9.6%
B 163
 
8.4%
T 162
 
8.3%
M 136
 
7.0%
S 136
 
7.0%
E 129
 
6.6%
A 122
 
6.3%
D 118
 
6.0%
K 116
 
5.9%
I 91
 
4.7%
Other values (16) 590
30.2%
Lowercase Letter
ValueCountFrequency (%)
e 88
18.7%
r 55
11.7%
n 45
9.6%
o 39
8.3%
t 39
8.3%
i 36
 
7.6%
c 28
 
5.9%
w 21
 
4.5%
a 15
 
3.2%
l 15
 
3.2%
Other values (13) 90
19.1%
Decimal Number
ValueCountFrequency (%)
1 130
21.2%
2 85
13.8%
3 67
10.9%
6 56
9.1%
4 54
8.8%
7 50
 
8.1%
5 49
 
8.0%
0 45
 
7.3%
8 40
 
6.5%
9 38
 
6.2%
Other Punctuation
ValueCountFrequency (%)
* 46972
99.7%
, 108
 
0.2%
. 23
 
< 0.1%
/ 12
 
< 0.1%
& 9
 
< 0.1%
@ 2
 
< 0.1%
Letter Number
ValueCountFrequency (%)
33
55.0%
14
23.3%
11
 
18.3%
2
 
3.3%
Space Separator
ValueCountFrequency (%)
42320
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7746
100.0%
Close Punctuation
ValueCountFrequency (%)
) 93
100.0%
Open Punctuation
ValueCountFrequency (%)
( 92
100.0%
Math Symbol
ValueCountFrequency (%)
~ 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 147356
59.5%
Common 98006
39.5%
Latin 2482
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
11804
 
8.0%
10366
 
7.0%
9865
 
6.7%
9421
 
6.4%
9379
 
6.4%
9259
 
6.3%
9251
 
6.3%
4759
 
3.2%
4191
 
2.8%
3045
 
2.1%
Other values (574) 66016
44.8%
Latin
ValueCountFrequency (%)
C 188
 
7.6%
B 163
 
6.6%
T 162
 
6.5%
M 136
 
5.5%
S 136
 
5.5%
E 129
 
5.2%
A 122
 
4.9%
D 118
 
4.8%
K 116
 
4.7%
I 91
 
3.7%
Other values (43) 1121
45.2%
Common
ValueCountFrequency (%)
* 46972
47.9%
42320
43.2%
- 7746
 
7.9%
1 130
 
0.1%
, 108
 
0.1%
) 93
 
0.1%
( 92
 
0.1%
2 85
 
0.1%
3 67
 
0.1%
6 56
 
0.1%
Other values (11) 337
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 147355
59.5%
ASCII 100428
40.5%
Number Forms 60
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 46972
46.8%
42320
42.1%
- 7746
 
7.7%
C 188
 
0.2%
B 163
 
0.2%
T 162
 
0.2%
M 136
 
0.1%
S 136
 
0.1%
1 130
 
0.1%
E 129
 
0.1%
Other values (60) 2346
 
2.3%
Hangul
ValueCountFrequency (%)
11804
 
8.0%
10366
 
7.0%
9865
 
6.7%
9421
 
6.4%
9379
 
6.4%
9259
 
6.3%
9251
 
6.3%
4759
 
3.2%
4191
 
2.8%
3045
 
2.1%
Other values (573) 66015
44.8%
Number Forms
ValueCountFrequency (%)
33
55.0%
14
23.3%
11
 
18.3%
2
 
3.3%
Compat Jamo
ValueCountFrequency (%)
1
100.0%
Distinct7717
Distinct (%)84.3%
Missing92
Missing (%)1.0%
Memory size72.4 KiB
2024-04-30T03:49:37.069081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length61
Mean length36.090512
Min length19

Characters and Unicode

Total characters330553
Distinct characters690
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6878 ?
Unique (%)75.1%

Sample

1st row서울특별시 영등포구 국회대로**길 *-*, A***호 (당산동*가)
2nd row서울특별시 강서구 마곡중앙로 ***, 프라이빗타워*차 ***호 (마곡동)
3rd row서울특별시 영등포구 선유동*로 **, THE PARK *** ****호 (당산동*가)
4th row서울특별시 중구 을지로 *, 재능빌딩 ***호 (을지로*가)
5th row서울특별시 종로구 종로 **-*, 삼양빌딩 *층 (종로*가)
ValueCountFrequency (%)
9199
 
14.9%
서울특별시 9158
 
14.8%
4290
 
7.0%
3725
 
6.0%
강남구 2180
 
3.5%
마포구 1225
 
2.0%
서초구 978
 
1.6%
영등포구 733
 
1.2%
논현동 651
 
1.1%
강서구 470
 
0.8%
Other values (6050) 29096
47.2%
2024-04-30T03:49:37.470828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 55363
 
16.7%
53979
 
16.3%
12092
 
3.7%
11536
 
3.5%
, 10494
 
3.2%
10025
 
3.0%
9888
 
3.0%
9370
 
2.8%
9341
 
2.8%
) 9242
 
2.8%
Other values (680) 139223
42.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 186833
56.5%
Other Punctuation 65905
 
19.9%
Space Separator 53979
 
16.3%
Close Punctuation 9242
 
2.8%
Open Punctuation 9241
 
2.8%
Uppercase Letter 2412
 
0.7%
Dash Punctuation 1556
 
0.5%
Decimal Number 787
 
0.2%
Lowercase Letter 469
 
0.1%
Math Symbol 68
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
12092
 
6.5%
11536
 
6.2%
10025
 
5.4%
9888
 
5.3%
9370
 
5.0%
9341
 
5.0%
9168
 
4.9%
9159
 
4.9%
5147
 
2.8%
5028
 
2.7%
Other values (606) 96079
51.4%
Uppercase Letter
ValueCountFrequency (%)
B 377
15.6%
C 236
 
9.8%
A 221
 
9.2%
T 172
 
7.1%
S 150
 
6.2%
M 145
 
6.0%
E 131
 
5.4%
D 123
 
5.1%
K 121
 
5.0%
I 98
 
4.1%
Other values (16) 638
26.5%
Lowercase Letter
ValueCountFrequency (%)
e 90
19.2%
r 55
11.7%
n 45
9.6%
t 38
8.1%
o 38
8.1%
i 35
 
7.5%
c 24
 
5.1%
w 20
 
4.3%
a 16
 
3.4%
l 15
 
3.2%
Other values (12) 93
19.8%
Decimal Number
ValueCountFrequency (%)
1 196
24.9%
2 115
14.6%
0 104
13.2%
3 91
11.6%
5 58
 
7.4%
4 55
 
7.0%
6 49
 
6.2%
8 43
 
5.5%
7 40
 
5.1%
9 36
 
4.6%
Other Punctuation
ValueCountFrequency (%)
* 55363
84.0%
, 10494
 
15.9%
. 27
 
< 0.1%
& 9
 
< 0.1%
/ 9
 
< 0.1%
? 2
 
< 0.1%
@ 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
32
52.5%
16
26.2%
11
 
18.0%
2
 
3.3%
Space Separator
ValueCountFrequency (%)
53979
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9242
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9241
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1556
100.0%
Math Symbol
ValueCountFrequency (%)
~ 68
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 186833
56.5%
Common 140778
42.6%
Latin 2942
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
12092
 
6.5%
11536
 
6.2%
10025
 
5.4%
9888
 
5.3%
9370
 
5.0%
9341
 
5.0%
9168
 
4.9%
9159
 
4.9%
5147
 
2.8%
5028
 
2.7%
Other values (606) 96079
51.4%
Latin
ValueCountFrequency (%)
B 377
 
12.8%
C 236
 
8.0%
A 221
 
7.5%
T 172
 
5.8%
S 150
 
5.1%
M 145
 
4.9%
E 131
 
4.5%
D 123
 
4.2%
K 121
 
4.1%
I 98
 
3.3%
Other values (42) 1168
39.7%
Common
ValueCountFrequency (%)
* 55363
39.3%
53979
38.3%
, 10494
 
7.5%
) 9242
 
6.6%
( 9241
 
6.6%
- 1556
 
1.1%
1 196
 
0.1%
2 115
 
0.1%
0 104
 
0.1%
3 91
 
0.1%
Other values (12) 397
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 186832
56.5%
ASCII 143659
43.5%
Number Forms 61
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 55363
38.5%
53979
37.6%
, 10494
 
7.3%
) 9242
 
6.4%
( 9241
 
6.4%
- 1556
 
1.1%
B 377
 
0.3%
C 236
 
0.2%
A 221
 
0.2%
1 196
 
0.1%
Other values (60) 2754
 
1.9%
Hangul
ValueCountFrequency (%)
12092
 
6.5%
11536
 
6.2%
10025
 
5.4%
9888
 
5.3%
9370
 
5.0%
9341
 
5.0%
9168
 
4.9%
9159
 
4.9%
5147
 
2.8%
5028
 
2.7%
Other values (605) 96078
51.4%
Number Forms
ValueCountFrequency (%)
32
52.5%
16
26.2%
11
 
18.0%
2
 
3.3%
Compat Jamo
ValueCountFrequency (%)
1
100.0%

도로명우편번호
Text

MISSING 

Distinct2178
Distinct (%)28.0%
Missing1480
Missing (%)16.0%
Memory size72.4 KiB
2024-04-30T03:49:37.770657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0142839
Min length5

Characters and Unicode

Total characters38966
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

Unique1025 ?
Unique (%)13.2%

Sample

1st row07257
2nd row07788
3rd row07261
4th row04533
5th row03190
ValueCountFrequency (%)
07788 70
 
0.9%
03925 61
 
0.8%
06049 49
 
0.6%
07995 46
 
0.6%
07238 43
 
0.6%
03909 38
 
0.5%
08506 38
 
0.5%
06028 36
 
0.5%
03920 36
 
0.5%
07631 32
 
0.4%
Other values (2168) 7322
94.2%
2024-04-30T03:49:38.162579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10987
28.2%
6 4240
 
10.9%
3 3491
 
9.0%
7 3472
 
8.9%
4 3247
 
8.3%
5 3026
 
7.8%
8 2759
 
7.1%
2 2747
 
7.0%
1 2623
 
6.7%
9 2366
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 38958
> 99.9%
Dash Punctuation 8
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10987
28.2%
6 4240
 
10.9%
3 3491
 
9.0%
7 3472
 
8.9%
4 3247
 
8.3%
5 3026
 
7.8%
8 2759
 
7.1%
2 2747
 
7.1%
1 2623
 
6.7%
9 2366
 
6.1%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 38966
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10987
28.2%
6 4240
 
10.9%
3 3491
 
9.0%
7 3472
 
8.9%
4 3247
 
8.3%
5 3026
 
7.8%
8 2759
 
7.1%
2 2747
 
7.0%
1 2623
 
6.7%
9 2366
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 38966
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10987
28.2%
6 4240
 
10.9%
3 3491
 
9.0%
7 3472
 
8.9%
4 3247
 
8.3%
5 3026
 
7.8%
8 2759
 
7.1%
2 2747
 
7.0%
1 2623
 
6.7%
9 2366
 
6.1%
Distinct8677
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size72.4 KiB
2024-04-30T03:49:38.395576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length39
Mean length8.7866177
Min length1

Characters and Unicode

Total characters81285
Distinct characters946
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8140 ?
Unique (%)88.0%

Sample

1st row주식회사 온제이
2nd row스트로우베리 필드
3rd row스트로우베리 필드
4th row저스트와이
5th row제이더블유미디어
ValueCountFrequency (%)
주식회사 2391
 
18.6%
스튜디오 118
 
0.9%
미디어 78
 
0.6%
63
 
0.5%
프로덕션 47
 
0.4%
엔터테인먼트 33
 
0.3%
사단법인 22
 
0.2%
픽쳐스 20
 
0.2%
media 19
 
0.1%
studio 19
 
0.1%
Other values (9047) 10075
78.2%
2024-04-30T03:49:38.741853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6172
 
7.6%
) 4119
 
5.1%
( 4102
 
5.0%
3638
 
4.5%
3164
 
3.9%
2720
 
3.3%
2713
 
3.3%
2500
 
3.1%
2447
 
3.0%
2091
 
2.6%
Other values (936) 47619
58.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 64892
79.8%
Close Punctuation 4120
 
5.1%
Open Punctuation 4102
 
5.0%
Space Separator 3638
 
4.5%
Uppercase Letter 2096
 
2.6%
Lowercase Letter 1860
 
2.3%
Decimal Number 329
 
0.4%
Other Punctuation 146
 
0.2%
Other Symbol 55
 
0.1%
Dash Punctuation 41
 
0.1%
Other values (2) 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6172
 
9.5%
3164
 
4.9%
2720
 
4.2%
2713
 
4.2%
2500
 
3.9%
2447
 
3.8%
2091
 
3.2%
1223
 
1.9%
1174
 
1.8%
1105
 
1.7%
Other values (858) 39583
61.0%
Lowercase Letter
ValueCountFrequency (%)
i 189
 
10.2%
o 182
 
9.8%
e 180
 
9.7%
a 148
 
8.0%
t 141
 
7.6%
n 137
 
7.4%
r 119
 
6.4%
s 90
 
4.8%
m 87
 
4.7%
u 84
 
4.5%
Other values (16) 503
27.0%
Uppercase Letter
ValueCountFrequency (%)
I 148
 
7.1%
E 144
 
6.9%
T 142
 
6.8%
A 134
 
6.4%
M 133
 
6.3%
C 129
 
6.2%
O 128
 
6.1%
S 123
 
5.9%
D 116
 
5.5%
N 106
 
5.1%
Other values (16) 793
37.8%
Decimal Number
ValueCountFrequency (%)
2 58
17.6%
1 56
17.0%
5 40
12.2%
0 38
11.6%
3 37
11.2%
4 34
10.3%
7 21
 
6.4%
9 18
 
5.5%
8 14
 
4.3%
6 13
 
4.0%
Other Punctuation
ValueCountFrequency (%)
. 93
63.7%
, 20
 
13.7%
& 19
 
13.0%
? 6
 
4.1%
/ 4
 
2.7%
: 2
 
1.4%
% 1
 
0.7%
' 1
 
0.7%
Close Punctuation
ValueCountFrequency (%)
) 4119
> 99.9%
] 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 4102
100.0%
Space Separator
ValueCountFrequency (%)
3638
100.0%
Other Symbol
ValueCountFrequency (%)
55
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 64946
79.9%
Common 12382
 
15.2%
Latin 3956
 
4.9%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6172
 
9.5%
3164
 
4.9%
2720
 
4.2%
2713
 
4.2%
2500
 
3.8%
2447
 
3.8%
2091
 
3.2%
1223
 
1.9%
1174
 
1.8%
1105
 
1.7%
Other values (858) 39637
61.0%
Latin
ValueCountFrequency (%)
i 189
 
4.8%
o 182
 
4.6%
e 180
 
4.6%
I 148
 
3.7%
a 148
 
3.7%
E 144
 
3.6%
T 142
 
3.6%
t 141
 
3.6%
n 137
 
3.5%
A 134
 
3.4%
Other values (42) 2411
60.9%
Common
ValueCountFrequency (%)
) 4119
33.3%
( 4102
33.1%
3638
29.4%
. 93
 
0.8%
2 58
 
0.5%
1 56
 
0.5%
- 41
 
0.3%
5 40
 
0.3%
0 38
 
0.3%
3 37
 
0.3%
Other values (15) 160
 
1.3%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 64891
79.8%
ASCII 16338
 
20.1%
None 55
 
0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
6172
 
9.5%
3164
 
4.9%
2720
 
4.2%
2713
 
4.2%
2500
 
3.9%
2447
 
3.8%
2091
 
3.2%
1223
 
1.9%
1174
 
1.8%
1105
 
1.7%
Other values (857) 39582
61.0%
ASCII
ValueCountFrequency (%)
) 4119
25.2%
( 4102
25.1%
3638
22.3%
i 189
 
1.2%
o 182
 
1.1%
e 180
 
1.1%
I 148
 
0.9%
a 148
 
0.9%
E 144
 
0.9%
T 142
 
0.9%
Other values (67) 3346
20.5%
None
ValueCountFrequency (%)
55
100.0%
CJK
ValueCountFrequency (%)
1
100.0%

최종수정일자
Date

UNIQUE 

Distinct9251
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size72.4 KiB
Minimum2006-02-03 14:31:00
Maximum2024-04-25 17:01:41
2024-04-30T03:49:38.866985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:49:38.983279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size72.4 KiB
I
6754 
U
2488 
D
 
9

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 6754
73.0%
U 2488
 
26.9%
D 9
 
0.1%

Length

2024-04-30T03:49:39.088850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:49:39.159464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 6754
73.0%
u 2488
 
26.9%
d 9
 
0.1%
Distinct1737
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Memory size72.4 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:07:00
2024-04-30T03:49:39.250000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:49:39.555608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9251
Missing (%)100.0%
Memory size81.4 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct6188
Distinct (%)68.4%
Missing205
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean198178.12
Minimum175126.16
Maximum218725.21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size81.4 KiB
2024-04-30T03:49:39.665140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum175126.16
5-th percentile188493.76
Q1192424.52
median199589.19
Q3203241.03
95-th percentile207798.56
Maximum218725.21
Range43599.045
Interquartile range (IQR)10816.507

Descriptive statistics

Standard deviation6538.389
Coefficient of variation (CV)0.032992486
Kurtosis-0.95109183
Mean198178.12
Median Absolute Deviation (MAD)5058.6536
Skewness-0.12095534
Sum1.7927193 × 109
Variance42750530
MonotonicityNot monotonic
2024-04-30T03:49:39.775836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
189855.433985731 36
 
0.4%
190250.875091908 29
 
0.3%
194530.535390096 26
 
0.3%
188584.345447275 25
 
0.3%
189538.020935968 22
 
0.2%
187952.560027898 19
 
0.2%
188572.108662809 19
 
0.2%
190335.496775957 17
 
0.2%
189055.138252216 17
 
0.2%
190125.564768858 16
 
0.2%
Other values (6178) 8820
95.3%
(Missing) 205
 
2.2%
ValueCountFrequency (%)
175126.163890762 1
< 0.1%
182226.083888915 1
< 0.1%
182853.820302804 1
< 0.1%
182876.367858149 2
< 0.1%
182941.05762285 1
< 0.1%
183044.267459329 1
< 0.1%
183283.557491626 1
< 0.1%
183366.236140415 1
< 0.1%
183382.861571856 2
< 0.1%
183394.032235885 2
< 0.1%
ValueCountFrequency (%)
218725.209081123 1
< 0.1%
215966.729045494 1
< 0.1%
215898.113091143 1
< 0.1%
215407.863928053 1
< 0.1%
215278.711932608 1
< 0.1%
215144.766442481 1
< 0.1%
214958.621473538 1
< 0.1%
214947.532397575 1
< 0.1%
214921.411960605 1
< 0.1%
214202.035389784 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct6186
Distinct (%)68.4%
Missing205
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean447374.93
Minimum429463.51
Maximum465483.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size81.4 KiB
2024-04-30T03:49:39.917588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum429463.51
5-th percentile441620.33
Q1444374.64
median446737.57
Q3450373.2
95-th percentile453926.8
Maximum465483.59
Range36020.084
Interquartile range (IQR)5998.558

Descriptive statistics

Standard deviation4116.6207
Coefficient of variation (CV)0.009201724
Kurtosis0.52729898
Mean447374.93
Median Absolute Deviation (MAD)3041.3646
Skewness0.6109714
Sum4.0469536 × 109
Variance16946566
MonotonicityNot monotonic
2024-04-30T03:49:40.065228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
453614.583448105 36
 
0.4%
453017.867202928 29
 
0.3%
446306.787198089 26
 
0.3%
447255.070457495 25
 
0.3%
441982.427934953 22
 
0.2%
450562.020225978 19
 
0.2%
447198.912625565 19
 
0.2%
452758.642764785 17
 
0.2%
441958.334400683 17
 
0.2%
453090.149821248 16
 
0.2%
Other values (6176) 8820
95.3%
(Missing) 205
 
2.2%
ValueCountFrequency (%)
429463.510792933 1
< 0.1%
436985.862177293 1
< 0.1%
437553.881820542 1
< 0.1%
437914.06299827 1
< 0.1%
438241.0 1
< 0.1%
438311.693430173 1
< 0.1%
438360.612274203 1
< 0.1%
438376.272604803 1
< 0.1%
438460.667319682 1
< 0.1%
438643.134944995 1
< 0.1%
ValueCountFrequency (%)
465483.594316613 1
< 0.1%
464814.717432497 2
< 0.1%
464780.725783305 1
< 0.1%
464779.326449954 1
< 0.1%
464208.305428933 1
< 0.1%
463676.931679731 1
< 0.1%
463626.879945225 1
< 0.1%
463606.782949743 1
< 0.1%
463579.872056086 1
< 0.1%
463511.788573322 1
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size72.4 KiB
비디오물제작업
5841 
<NA>
3410 

Length

Max length7
Median length7
Mean length5.8941736
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 (%)
비디오물제작업 5841
63.1%
<NA> 3410
36.9%

Length

2024-04-30T03:49:40.179020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:49:40.267342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비디오물제작업 5841
63.1%
na 3410
36.9%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size72.4 KiB
<NA>
8241 
유통관련업
1010 

Length

Max length5
Median length4
Mean length4.1091774
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> 8241
89.1%
유통관련업 1010
 
10.9%

Length

2024-04-30T03:49:40.356246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:49:40.432065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8241
89.1%
유통관련업 1010
 
10.9%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct30
Distinct (%)2.1%
Missing7803
Missing (%)84.3%
Infinite0
Infinite (%)0.0%
Mean1.8777624
Minimum0
Maximum34
Zeros1188
Zeros (%)12.8%
Negative0
Negative (%)0.0%
Memory size81.4 KiB
2024-04-30T03:49:40.509801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile15
Maximum34
Range34
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.0396742
Coefficient of variation (CV)2.6838721
Kurtosis9.7320454
Mean1.8777624
Median Absolute Deviation (MAD)0
Skewness3.1059996
Sum2719
Variance25.398316
MonotonicityNot monotonic
2024-04-30T03:49:40.610154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 1188
 
12.8%
5 30
 
0.3%
4 25
 
0.3%
6 19
 
0.2%
15 18
 
0.2%
14 16
 
0.2%
2 16
 
0.2%
10 13
 
0.1%
3 13
 
0.1%
13 13
 
0.1%
Other values (20) 97
 
1.0%
(Missing) 7803
84.3%
ValueCountFrequency (%)
0 1188
12.8%
1 10
 
0.1%
2 16
 
0.2%
3 13
 
0.1%
4 25
 
0.3%
5 30
 
0.3%
6 19
 
0.2%
7 9
 
0.1%
8 3
 
< 0.1%
9 6
 
0.1%
ValueCountFrequency (%)
34 1
 
< 0.1%
30 3
 
< 0.1%
29 2
 
< 0.1%
27 1
 
< 0.1%
26 2
 
< 0.1%
25 2
 
< 0.1%
23 8
0.1%
22 6
0.1%
21 4
< 0.1%
20 2
 
< 0.1%

주변환경명
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size72.4 KiB
<NA>
9110 
기타
 
93
주택가주변
 
22
아파트지역
 
11
유흥업소밀집지역
 
8
Other values (2)
 
7

Length

Max length8
Median length4
Mean length3.989947
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> 9110
98.5%
기타 93
 
1.0%
주택가주변 22
 
0.2%
아파트지역 11
 
0.1%
유흥업소밀집지역 8
 
0.1%
학교정화(상대) 6
 
0.1%
학교정화(절대) 1
 
< 0.1%

Length

2024-04-30T03:49:40.714980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:49:40.809022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9110
98.5%
기타 93
 
1.0%
주택가주변 22
 
0.2%
아파트지역 11
 
0.1%
유흥업소밀집지역 8
 
0.1%
학교정화(상대 6
 
0.1%
학교정화(절대 1
 
< 0.1%
Distinct2294
Distinct (%)42.2%
Missing3817
Missing (%)41.3%
Memory size72.4 KiB
2024-04-30T03:49:41.000710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length54
Mean length9.2234082
Min length1

Characters and Unicode

Total characters50120
Distinct characters419
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

Unique2061 ?
Unique (%)37.9%

Sample

1st row홍보영상물, DVD
2nd row광고, 비디오물
3rd row비디오물
4th row교육물, 홍보물, 영화
5th row회사 홍보 영상 등
ValueCountFrequency (%)
비디오물 2019
 
18.9%
제작 645
 
6.0%
473
 
4.4%
영상물 451
 
4.2%
영상 402
 
3.8%
광고 400
 
3.7%
홍보영상 357
 
3.3%
275
 
2.6%
홍보 238
 
2.2%
비디오물제작업 198
 
1.9%
Other values (1716) 5239
49.0%
2024-04-30T03:49:41.358578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5274
 
10.5%
3721
 
7.4%
3652
 
7.3%
3238
 
6.5%
3112
 
6.2%
2971
 
5.9%
2952
 
5.9%
, 2877
 
5.7%
1702
 
3.4%
1678
 
3.3%
Other values (409) 18943
37.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 40057
79.9%
Space Separator 5274
 
10.5%
Other Punctuation 3020
 
6.0%
Uppercase Letter 1127
 
2.2%
Decimal Number 182
 
0.4%
Open Punctuation 159
 
0.3%
Close Punctuation 158
 
0.3%
Lowercase Letter 114
 
0.2%
Dash Punctuation 28
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3721
 
9.3%
3652
 
9.1%
3238
 
8.1%
3112
 
7.8%
2971
 
7.4%
2952
 
7.4%
1702
 
4.2%
1678
 
4.2%
1321
 
3.3%
1307
 
3.3%
Other values (347) 14403
36.0%
Uppercase Letter
ValueCountFrequency (%)
D 325
28.8%
V 254
22.5%
C 138
12.2%
F 96
 
8.5%
T 86
 
7.6%
R 76
 
6.7%
S 39
 
3.5%
N 14
 
1.2%
G 12
 
1.1%
A 11
 
1.0%
Other values (11) 76
 
6.7%
Lowercase Letter
ValueCountFrequency (%)
d 14
12.3%
e 13
11.4%
c 11
9.6%
l 9
 
7.9%
i 8
 
7.0%
t 8
 
7.0%
m 7
 
6.1%
v 7
 
6.1%
n 6
 
5.3%
o 6
 
5.3%
Other values (10) 25
21.9%
Decimal Number
ValueCountFrequency (%)
3 80
44.0%
2 24
 
13.2%
0 18
 
9.9%
6 18
 
9.9%
4 14
 
7.7%
1 10
 
5.5%
5 8
 
4.4%
8 6
 
3.3%
9 3
 
1.6%
7 1
 
0.5%
Other Punctuation
ValueCountFrequency (%)
, 2877
95.3%
/ 65
 
2.2%
. 37
 
1.2%
? 34
 
1.1%
: 6
 
0.2%
& 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
5274
100.0%
Open Punctuation
ValueCountFrequency (%)
( 159
100.0%
Close Punctuation
ValueCountFrequency (%)
) 158
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%
Math Symbol
ValueCountFrequency (%)
> 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 40057
79.9%
Common 8822
 
17.6%
Latin 1241
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3721
 
9.3%
3652
 
9.1%
3238
 
8.1%
3112
 
7.8%
2971
 
7.4%
2952
 
7.4%
1702
 
4.2%
1678
 
4.2%
1321
 
3.3%
1307
 
3.3%
Other values (347) 14403
36.0%
Latin
ValueCountFrequency (%)
D 325
26.2%
V 254
20.5%
C 138
11.1%
F 96
 
7.7%
T 86
 
6.9%
R 76
 
6.1%
S 39
 
3.1%
d 14
 
1.1%
N 14
 
1.1%
e 13
 
1.0%
Other values (31) 186
15.0%
Common
ValueCountFrequency (%)
5274
59.8%
, 2877
32.6%
( 159
 
1.8%
) 158
 
1.8%
3 80
 
0.9%
/ 65
 
0.7%
. 37
 
0.4%
? 34
 
0.4%
- 28
 
0.3%
2 24
 
0.3%
Other values (11) 86
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 40056
79.9%
ASCII 10063
 
20.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5274
52.4%
, 2877
28.6%
D 325
 
3.2%
V 254
 
2.5%
( 159
 
1.6%
) 158
 
1.6%
C 138
 
1.4%
F 96
 
1.0%
T 86
 
0.9%
3 80
 
0.8%
Other values (52) 616
 
6.1%
Hangul
ValueCountFrequency (%)
3721
 
9.3%
3652
 
9.1%
3238
 
8.1%
3112
 
7.8%
2971
 
7.4%
2952
 
7.4%
1702
 
4.2%
1678
 
4.2%
1321
 
3.3%
1307
 
3.3%
Other values (346) 14402
36.0%
Compat Jamo
ValueCountFrequency (%)
1
100.0%

시설면적
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct2709
Distinct (%)58.0%
Missing4579
Missing (%)49.5%
Infinite0
Infinite (%)0.0%
Mean304.31978
Minimum0
Maximum266696.74
Zeros426
Zeros (%)4.6%
Negative0
Negative (%)0.0%
Memory size81.4 KiB
2024-04-30T03:49:41.476122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q125
median69.99
Q3143.1425
95-th percentile442.835
Maximum266696.74
Range266696.74
Interquartile range (IQR)118.1425

Descriptive statistics

Standard deviation5281.8466
Coefficient of variation (CV)17.356238
Kurtosis1749.5309
Mean304.31978
Median Absolute Deviation (MAD)55.62
Skewness39.856227
Sum1421782
Variance27897904
MonotonicityNot monotonic
2024-04-30T03:49:41.593959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 426
 
4.6%
1.0 251
 
2.7%
33.0 49
 
0.5%
10.0 48
 
0.5%
30.0 43
 
0.5%
3.3 38
 
0.4%
100.0 37
 
0.4%
66.0 36
 
0.4%
99.0 30
 
0.3%
50.0 30
 
0.3%
Other values (2699) 3684
39.8%
(Missing) 4579
49.5%
ValueCountFrequency (%)
0.0 426
4.6%
0.52 1
 
< 0.1%
1.0 251
2.7%
1.3 1
 
< 0.1%
1.44 3
 
< 0.1%
1.65 1
 
< 0.1%
2.0 1
 
< 0.1%
2.5 1
 
< 0.1%
2.54 1
 
< 0.1%
2.6 2
 
< 0.1%
ValueCountFrequency (%)
266696.74 1
< 0.1%
178347.0 1
< 0.1%
120578.88 1
< 0.1%
103126.0 1
< 0.1%
28670.0 1
< 0.1%
24995.91 1
< 0.1%
13478.75 1
< 0.1%
11982.62 1
< 0.1%
10751.0 1
< 0.1%
8154.14 1
< 0.1%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct27
Distinct (%)1.8%
Missing7729
Missing (%)83.5%
Infinite0
Infinite (%)0.0%
Mean1.6346912
Minimum0
Maximum29
Zeros1166
Zeros (%)12.6%
Negative0
Negative (%)0.0%
Memory size81.4 KiB
2024-04-30T03:49:41.687238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile11
Maximum29
Range29
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.9502901
Coefficient of variation (CV)2.416536
Kurtosis10.504029
Mean1.6346912
Median Absolute Deviation (MAD)0
Skewness3.0844374
Sum2488
Variance15.604792
MonotonicityNot monotonic
2024-04-30T03:49:41.780822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 1166
 
12.6%
4 52
 
0.6%
2 47
 
0.5%
3 45
 
0.5%
5 30
 
0.3%
10 25
 
0.3%
1 22
 
0.2%
6 17
 
0.2%
11 15
 
0.2%
7 14
 
0.2%
Other values (17) 89
 
1.0%
(Missing) 7729
83.5%
ValueCountFrequency (%)
0 1166
12.6%
1 22
 
0.2%
2 47
 
0.5%
3 45
 
0.5%
4 52
 
0.6%
5 30
 
0.3%
6 17
 
0.2%
7 14
 
0.2%
8 12
 
0.1%
9 11
 
0.1%
ValueCountFrequency (%)
29 1
 
< 0.1%
27 1
 
< 0.1%
26 1
 
< 0.1%
25 1
 
< 0.1%
24 2
 
< 0.1%
23 1
 
< 0.1%
20 6
0.1%
19 1
 
< 0.1%
18 3
< 0.1%
17 3
< 0.1%

지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)0.6%
Missing7857
Missing (%)84.9%
Infinite0
Infinite (%)0.0%
Mean0.28837877
Minimum0
Maximum7
Zeros1204
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size81.4 KiB
2024-04-30T03:49:41.874462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.90625637
Coefficient of variation (CV)3.1425905
Kurtosis16.608757
Mean0.28837877
Median Absolute Deviation (MAD)0
Skewness3.9318595
Sum402
Variance0.8213006
MonotonicityNot monotonic
2024-04-30T03:49:41.966272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 1204
 
13.0%
1 101
 
1.1%
2 27
 
0.3%
3 26
 
0.3%
4 18
 
0.2%
5 12
 
0.1%
6 5
 
0.1%
7 1
 
< 0.1%
(Missing) 7857
84.9%
ValueCountFrequency (%)
0 1204
13.0%
1 101
 
1.1%
2 27
 
0.3%
3 26
 
0.3%
4 18
 
0.2%
5 12
 
0.1%
6 5
 
0.1%
7 1
 
< 0.1%
ValueCountFrequency (%)
7 1
 
< 0.1%
6 5
 
0.1%
5 12
 
0.1%
4 18
 
0.2%
3 26
 
0.3%
2 27
 
0.3%
1 101
 
1.1%
0 1204
13.0%

건물용도명
Categorical

IMBALANCE 

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size72.4 KiB
<NA>
9032 
근린생활시설
 
98
사무실
 
75
기타
 
19
아파트
 
11
Other values (7)
 
16

Length

Max length15
Median length4
Mean length4.0127554
Min length2

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9032
97.6%
근린생활시설 98
 
1.1%
사무실 75
 
0.8%
기타 19
 
0.2%
아파트 11
 
0.1%
단독주택 5
 
0.1%
교육연구시설 3
 
< 0.1%
다가구용 주택(공동주택적용) 3
 
< 0.1%
식품위생시설 2
 
< 0.1%
다세대주택 1
 
< 0.1%
Other values (2) 2
 
< 0.1%

Length

2024-04-30T03:49:42.068583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 9032
97.6%
근린생활시설 98
 
1.1%
사무실 75
 
0.8%
기타 19
 
0.2%
아파트 11
 
0.1%
단독주택 5
 
0.1%
교육연구시설 3
 
< 0.1%
다가구용 3
 
< 0.1%
주택(공동주택적용 3
 
< 0.1%
식품위생시설 2
 
< 0.1%
Other values (3) 3
 
< 0.1%

통로너비
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size72.4 KiB
<NA>
8011 
0
1240 

Length

Max length4
Median length4
Mean length3.5978813
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> 8011
86.6%
0 1240
 
13.4%

Length

2024-04-30T03:49:42.162462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:49:42.254811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8011
86.6%
0 1240
 
13.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size72.4 KiB
<NA>
8011 
0
1240 

Length

Max length4
Median length4
Mean length3.5978813
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> 8011
86.6%
0 1240
 
13.4%

Length

2024-04-30T03:49:42.362235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:49:42.453181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8011
86.6%
0 1240
 
13.4%

노래방실수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size72.4 KiB
<NA>
8011 
0
1240 

Length

Max length4
Median length4
Mean length3.5978813
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> 8011
86.6%
0 1240
 
13.4%

Length

2024-04-30T03:49:42.532428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:49:42.614462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8011
86.6%
0 1240
 
13.4%

청소년실수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size72.4 KiB
<NA>
8011 
0
1240 

Length

Max length4
Median length4
Mean length3.5978813
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> 8011
86.6%
0 1240
 
13.4%

Length

2024-04-30T03:49:42.692982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:49:42.768923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8011
86.6%
0 1240
 
13.4%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9251
Missing (%)100.0%
Memory size81.4 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9251
Missing (%)100.0%
Memory size81.4 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9251
Missing (%)100.0%
Memory size81.4 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9251
Missing (%)100.0%
Memory size81.4 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9251
Missing (%)100.0%
Memory size81.4 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9251
Missing (%)100.0%
Memory size81.4 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9251
Missing (%)100.0%
Memory size81.4 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9251
Missing (%)100.0%
Memory size81.4 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9251
Missing (%)100.0%
Memory size81.4 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9251
Missing (%)100.0%
Memory size81.4 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9251
Missing (%)100.0%
Memory size81.4 KiB

총게임기수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size72.4 KiB
<NA>
8011 
0
1240 

Length

Max length4
Median length4
Mean length3.5978813
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> 8011
86.6%
0 1240
 
13.4%

Length

2024-04-30T03:49:42.852621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:49:42.935612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8011
86.6%
0 1240
 
13.4%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9251
Missing (%)100.0%
Memory size81.4 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9251
Missing (%)100.0%
Memory size81.4 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9251
Missing (%)100.0%
Memory size81.4 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9251
Missing (%)100.0%
Memory size81.4 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9251
Missing (%)100.0%
Memory size81.4 KiB

지역구분명
Categorical

IMBALANCE 

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size72.4 KiB
<NA>
9034 
일반주거지역
 
58
준공업지역
 
38
일반상업지역
 
33
주거지역
 
27
Other values (7)
 
61

Length

Max length6
Median length4
Mean length4.0312399
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> 9034
97.7%
일반주거지역 58
 
0.6%
준공업지역 38
 
0.4%
일반상업지역 33
 
0.4%
주거지역 27
 
0.3%
준주거지역 19
 
0.2%
상업지역 17
 
0.2%
근린상업지역 11
 
0.1%
중심상업지역 6
 
0.1%
일반공업지역 4
 
< 0.1%
Other values (2) 4
 
< 0.1%

Length

2024-04-30T03:49:43.035111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 9034
97.7%
일반주거지역 58
 
0.6%
준공업지역 38
 
0.4%
일반상업지역 33
 
0.4%
주거지역 27
 
0.3%
준주거지역 19
 
0.2%
상업지역 17
 
0.2%
근린상업지역 11
 
0.1%
중심상업지역 6
 
0.1%
일반공업지역 4
 
< 0.1%
Other values (2) 4
 
< 0.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03180000CDFF12410720230000182023-02-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 당산동*가 ***서울특별시 영등포구 국회대로**길 *-*, A***호 (당산동*가)07257주식회사 온제이2023-02-28 15:24:48I2022-12-03 00:03:00.0<NA>190911.09589447178.670382<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>
13150000CDFF12410720230000212021-12-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 ***-* 프라이빗타워타워*차 ***호서울특별시 강서구 마곡중앙로 ***, 프라이빗타워*차 ***호 (마곡동)07788스트로우베리 필드2023-02-28 14:39:32I2022-12-03 00:03:00.0<NA>184708.916316451822.756998<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>
23180000CDFF12410720210000812021-12-13<NA>5제외/삭제/전출15전출2023-02-28<NA><NA><NA><NA><NA><NA>서울특별시 영등포구 당산동*가 ***-* THE PARK ***서울특별시 영등포구 선유동*로 **, THE PARK *** ****호 (당산동*가)07261스트로우베리 필드2023-02-28 13:37:52U2022-12-03 00:03:00.0<NA>190487.784358447142.741733<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>
33010000CDFF12410720230000102021-11-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 을지로*가 ***-** 재능빌딩서울특별시 중구 을지로 *, 재능빌딩 ***호 (을지로*가)04533저스트와이2023-03-03 09:06:30U2022-12-03 00:05:00.0<NA>198093.956966451453.497371<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>
43000000CDFF12410720210000372021-11-02<NA>5제외/삭제/전출15전출2023-02-28<NA><NA><NA><NA><NA><NA>서울특별시 종로구 종로*가 **-* 삼양빌딩서울특별시 종로구 종로 **-*, 삼양빌딩 *층 (종로*가)03190제이더블유미디어2023-02-28 14:36:23U2022-12-03 00:03:00.0<NA>198731.246361451962.636141<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>
53220000CDFF12410720160000342016-03-31<NA>5제외/삭제/전출15전출2023-02-28<NA><NA><NA>02-3446-9481<NA><NA>서울특별시 강남구 논현동 ***-** 테라스***서울특별시 강남구 학동로**길 **-*, 테라스*** ***호 (논현동)06058(주)디자인코뮨2023-02-28 09:32:04U2022-12-03 00:03:00.0<NA>203159.470881446206.39529<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>
63130000CDFF12410720200000492020-04-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 연남동 ***-** 프로젝트 에이서울특별시 마포구 성미산로**길 **, 에이동 지하*,*층, 지상*,*층 (연남동)03988주식회사 라이브랩2023-03-07 18:11:15U2022-12-03 00:09:00.0<NA>192947.554318451088.949817<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>
73220000CDFF12410720220000882022-04-19<NA>1영업/정상13영업중<NA><NA><NA><NA>070-8065-3942<NA><NA>서울특별시 강남구 역삼동 ***-**서울특별시 강남구 선릉로**길 **, *층 ***호 (역삼동)06148(주)더아이케이2023-02-27 09:26:31U2022-12-03 00:01:00.0<NA>203953.207086444715.727186<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>
83200000CDFF12410720230000032023-03-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 **-***서울특별시 관악구 쑥고개로 **, *층 (신림동)08783사단법인 지속가능월드네트워크2023-03-07 10:50:10I2022-12-03 00:09:00.0<NA>194560.378816441779.950675<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>
93210000CDFF12410720230000152018-08-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 방배동 ***-* 용진빌딩서울특별시 서초구 동작대로 **, 용진빌딩 ***호 (방배동)06677주식회사 브라더미디어2023-03-07 13:12:49I2022-12-03 00:09:00.0<NA>198363.705517442198.239121<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
92413000000CDFF124107201400001220141208<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 옥인동 **-**서울특별시 종로구 자하문로 **, 옥인빌딩 *층 ***호 (옥인동)03035(주)누리픽쳐스2022-05-13 16:38:03U2021-12-04 23:05:00.0<NA>197289.344969453280.937601<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>
92423230000CDFF124107201900001420110222<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 문정동 *** 송파 테라타워*서울특별시 송파구 송파대로 ***, 송파 테라타워* A동 *층 ***호 (문정동)05854(주)지안플레이그라운드2022-05-13 09:04:17U2021-12-04 23:05:00.0<NA>210627.0442875.0<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><NA><NA><NA><NA><NA><NA>
92433110000CDFF12410720220000112022-05-12<NA>5제외/삭제/전출15전출2023-08-02<NA><NA><NA><NA><NA><NA>서울특별시 은평구 녹번동 * 서울혁신파크서울특별시 은평구 통일로 ***, 서울혁신파크 *동 ***-C호 (녹번동)03371사단법인 배리어프리영화위원회2023-08-02 09:51:53U2022-12-08 00:05:00.0<NA>194029.23575456185.615536<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>
92443210000CDFF12410720170000162017-04-13<NA>1영업/정상13영업중<NA><NA><NA><NA>02 561 5225<NA><NA>서울특별시 서초구 서초동 ****-**서울특별시 서초구 강남대로 ***, *층 (서초동, 광일빌딩)06627(주)베리타스커넥트2023-09-18 11:38:30U2022-12-08 22:00:00.0<NA>202552.631386443374.448125<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>
92453180000CDFF124107202300000820230130<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 당산동*가 *** 석천서울특별시 영등포구 선유로**길 **, 석천 *층 (당산동*가)07222주식회사 라운드미디어2023-01-30 14:32:15I2022-12-02 00:01:00.0<NA>191054.141618448187.218576<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>
92463180000CDFF124107202300000720230130<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 양평동*가 **-** 목동비즈타워서울특별시 영등포구 영등포로 **, 목동비즈타워 ***호 (양평동*가)07275지져스(Jesus-TV) 인터넷방송국2023-01-30 13:54:14I2022-12-02 00:01:00.0<NA>189785.75247446796.882114<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>
92473220000CDFF124107202300000920230130<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 삼성동 ***-** 창성빌딩서울특별시 강남구 영동대로***길 **, 창성빌딩 ***호 (삼성동)06170주식회사 컨텐츠맵2023-01-30 14:51:29I2022-12-02 00:01:00.0<NA>205416.878644445710.731606<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>
92483130000CDFF124107202200007020220513<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 도화동 **-** 효성해링턴 스퀘어서울특별시 마포구 마포대로 **, 효성해링턴 스퀘어 에이동 *층 (도화동)04168주식회사 퍼스트맨스튜디오2022-05-13 13:39:35I2021-12-04 23:05:00.0<NA>195616.580724448973.867132<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>
92493070000CDFF12410720230000022023-01-30<NA>5제외/삭제/전출15전출2024-04-17<NA><NA><NA><NA><NA><NA>서울특별시 성북구 정릉동 ***-* 정릉풍림아이원 ***동 ****호서울특별시 성북구 솔샘로 ***, ***동 ****호 (정릉동, 정릉풍림아이원)02712스튜디오 프로미넌트2024-04-17 10:40:12U2023-12-03 23:09:00.0<NA>200754.371446457195.351141<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>
92503210000CDFF12410720210000772021-10-05<NA>5제외/삭제/전출15전출2024-02-08<NA><NA><NA>070-8146-8980<NA><NA>서울특별시 서초구 서초동 ****-** BLOCK**서울특별시 서초구 서초대로**길 **, BLOCK** **층 (서초동)06614주식회사 하이메디2024-02-08 17:23:59U2023-12-01 23:01:00.0<NA>202192.636321444169.462715<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>