Overview

Dataset statistics

Number of variables56
Number of observations2543
Missing cells69445
Missing cells (%)48.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 MiB
Average record size in memory484.1 B

Variable types

Numeric8
Text8
DateTime4
Categorical15
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-16059/S/1/datasetView.do

Alerts

상세영업상태명 is highly imbalanced (61.8%)Imbalance
주변환경명 is highly imbalanced (92.4%)Imbalance
지하층수 is highly imbalanced (65.7%)Imbalance
건물용도명 is highly imbalanced (87.9%)Imbalance
지역구분명 is highly imbalanced (89.9%)Imbalance
인허가취소일자 has 2531 (99.5%) missing valuesMissing
폐업일자 has 1918 (75.4%) missing valuesMissing
휴업시작일자 has 2543 (100.0%) missing valuesMissing
휴업종료일자 has 2543 (100.0%) missing valuesMissing
재개업일자 has 2543 (100.0%) missing valuesMissing
전화번호 has 1567 (61.6%) missing valuesMissing
소재지면적 has 2543 (100.0%) missing valuesMissing
소재지우편번호 has 2136 (84.0%) missing valuesMissing
도로명주소 has 54 (2.1%) missing valuesMissing
도로명우편번호 has 552 (21.7%) missing valuesMissing
업태구분명 has 2543 (100.0%) missing valuesMissing
좌표정보(X) has 52 (2.0%) missing valuesMissing
좌표정보(Y) has 52 (2.0%) missing valuesMissing
총층수 has 2119 (83.3%) missing valuesMissing
제작취급품목내용 has 1212 (47.7%) missing valuesMissing
시설면적 has 1741 (68.5%) missing valuesMissing
지상층수 has 2108 (82.9%) missing valuesMissing
비상계단여부 has 2543 (100.0%) missing valuesMissing
비상구여부 has 2543 (100.0%) missing valuesMissing
자동환기여부 has 2543 (100.0%) missing valuesMissing
청소년실여부 has 2543 (100.0%) missing valuesMissing
특수조명여부 has 2543 (100.0%) missing valuesMissing
방음시설여부 has 2543 (100.0%) missing valuesMissing
비디오재생기명 has 2543 (100.0%) missing valuesMissing
조명시설유무 has 2543 (100.0%) missing valuesMissing
음향시설여부 has 2543 (100.0%) missing valuesMissing
편의시설여부 has 2543 (100.0%) missing valuesMissing
소방시설여부 has 2543 (100.0%) missing valuesMissing
기존게임업외업종명 has 2543 (100.0%) missing valuesMissing
제공게임물명 has 2543 (100.0%) missing valuesMissing
공연장형태구분명 has 2543 (100.0%) missing valuesMissing
품목명 has 2543 (100.0%) missing valuesMissing
최초등록시점 has 2543 (100.0%) missing valuesMissing
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 332 (13.1%) zerosZeros
시설면적 has 279 (11.0%) zerosZeros
지상층수 has 324 (12.7%) zerosZeros

Reproduction

Analysis started2024-04-06 11:36:14.196433
Analysis finished2024-04-06 11:36:16.872816
Duration2.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Real number (ℝ)

Distinct25
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3156213.1
Minimum3000000
Maximum3240000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.5 KiB
2024-04-06T20:36:17.032566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3010000
Q13120000
median3180000
Q33220000
95-th percentile3230000
Maximum3240000
Range240000
Interquartile range (IQR)100000

Descriptive statistics

Standard deviation72304.52
Coefficient of variation (CV)0.02290863
Kurtosis-0.49561992
Mean3156213.1
Median Absolute Deviation (MAD)40000
Skewness-0.87078076
Sum8.02625 × 109
Variance5.2279435 × 109
MonotonicityNot monotonic
2024-04-06T20:36:17.220650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
3220000 483
19.0%
3210000 309
12.2%
3130000 296
11.6%
3230000 194
 
7.6%
3180000 192
 
7.6%
3020000 102
 
4.0%
3200000 96
 
3.8%
3000000 88
 
3.5%
3110000 80
 
3.1%
3010000 79
 
3.1%
Other values (15) 624
24.5%
ValueCountFrequency (%)
3000000 88
3.5%
3010000 79
3.1%
3020000 102
4.0%
3030000 55
2.2%
3040000 51
2.0%
3050000 21
 
0.8%
3060000 13
 
0.5%
3070000 35
 
1.4%
3080000 30
 
1.2%
3090000 15
 
0.6%
ValueCountFrequency (%)
3240000 46
 
1.8%
3230000 194
7.6%
3220000 483
19.0%
3210000 309
12.2%
3200000 96
 
3.8%
3190000 60
 
2.4%
3180000 192
 
7.6%
3170000 61
 
2.4%
3160000 57
 
2.2%
3150000 66
 
2.6%
Distinct635
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Memory size20.0 KiB
2024-04-06T20:36:17.567749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters50860
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

Unique243 ?
Unique (%)9.6%

Sample

1st rowCDFF3241062013000002
2nd rowCDFF3241062011000008
3rd rowCDFF3241062023000001
4th rowCDFF3241062023000008
5th rowCDFF3241062023000009
ValueCountFrequency (%)
cdff3241062022000001 23
 
0.9%
cdff3241062021000002 23
 
0.9%
cdff3241062021000001 23
 
0.9%
cdff3241062023000001 22
 
0.9%
cdff3241062020000001 22
 
0.9%
cdff3241062023000002 22
 
0.9%
cdff3241062022000002 22
 
0.9%
cdff3241062018000001 21
 
0.8%
cdff3241062006000001 21
 
0.8%
cdff3241062022000004 21
 
0.8%
Other values (625) 2323
91.3%
2024-04-06T20:36:18.193922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 17952
35.3%
2 7060
 
13.9%
F 5086
 
10.0%
1 4956
 
9.7%
3 3273
 
6.4%
4 3066
 
6.0%
6 2932
 
5.8%
C 2543
 
5.0%
D 2543
 
5.0%
9 439
 
0.9%
Other values (3) 1010
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 40688
80.0%
Uppercase Letter 10172
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 17952
44.1%
2 7060
 
17.4%
1 4956
 
12.2%
3 3273
 
8.0%
4 3066
 
7.5%
6 2932
 
7.2%
9 439
 
1.1%
5 386
 
0.9%
7 319
 
0.8%
8 305
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
F 5086
50.0%
C 2543
25.0%
D 2543
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 40688
80.0%
Latin 10172
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 17952
44.1%
2 7060
 
17.4%
1 4956
 
12.2%
3 3273
 
8.0%
4 3066
 
7.5%
6 2932
 
7.2%
9 439
 
1.1%
5 386
 
0.9%
7 319
 
0.8%
8 305
 
0.7%
Latin
ValueCountFrequency (%)
F 5086
50.0%
C 2543
25.0%
D 2543
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 50860
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 17952
35.3%
2 7060
 
13.9%
F 5086
 
10.0%
1 4956
 
9.7%
3 3273
 
6.4%
4 3066
 
6.0%
6 2932
 
5.8%
C 2543
 
5.0%
D 2543
 
5.0%
9 439
 
0.9%
Other values (3) 1010
 
2.0%
Distinct1888
Distinct (%)74.2%
Missing0
Missing (%)0.0%
Memory size20.0 KiB
Minimum1979-03-02 00:00:00
Maximum2024-04-02 00:00:00
2024-04-06T20:36:18.464278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:36:18.695349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing2531
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean20171435
Minimum20120524
Maximum20200228
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.5 KiB
2024-04-06T20:36:18.902722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20120524
5-th percentile20120527
Q120138287
median20190566
Q320190956
95-th percentile20200174
Maximum20200228
Range79704
Interquartile range (IQR)52669.25

Descriptive statistics

Standard deviation32524.798
Coefficient of variation (CV)0.0016124187
Kurtosis-1.3321075
Mean20171435
Median Absolute Deviation (MAD)5057
Skewness-0.85167844
Sum2.4205722 × 108
Variance1.0578625 × 109
MonotonicityNot monotonic
2024-04-06T20:36:19.142717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
20131014 1
 
< 0.1%
20140711 1
 
< 0.1%
20191118 1
 
< 0.1%
20190610 1
 
< 0.1%
20200129 1
 
< 0.1%
20190902 1
 
< 0.1%
20190523 1
 
< 0.1%
20120524 1
 
< 0.1%
20120529 1
 
< 0.1%
20190807 1
 
< 0.1%
Other values (2) 2
 
0.1%
(Missing) 2531
99.5%
ValueCountFrequency (%)
20120524 1
< 0.1%
20120529 1
< 0.1%
20131014 1
< 0.1%
20140711 1
< 0.1%
20190123 1
< 0.1%
20190523 1
< 0.1%
20190610 1
< 0.1%
20190807 1
< 0.1%
20190902 1
< 0.1%
20191118 1
< 0.1%
ValueCountFrequency (%)
20200228 1
< 0.1%
20200129 1
< 0.1%
20191118 1
< 0.1%
20190902 1
< 0.1%
20190807 1
< 0.1%
20190610 1
< 0.1%
20190523 1
< 0.1%
20190123 1
< 0.1%
20140711 1
< 0.1%
20131014 1
< 0.1%
Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size20.0 KiB
1
1904 
3
527 
5
 
92
4
 
20

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 1904
74.9%
3 527
 
20.7%
5 92
 
3.6%
4 20
 
0.8%

Length

2024-04-06T20:36:19.393996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:36:19.580177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1904
74.9%
3 527
 
20.7%
5 92
 
3.6%
4 20
 
0.8%

영업상태명
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size20.0 KiB
영업/정상
1904 
폐업
527 
제외/삭제/전출
 
92
취소/말소/만료/정지/중지
 
20

Length

Max length14
Median length5
Mean length4.5576091
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 1904
74.9%
폐업 527
 
20.7%
제외/삭제/전출 92
 
3.6%
취소/말소/만료/정지/중지 20
 
0.8%

Length

2024-04-06T20:36:19.797278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:36:20.007585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 1904
74.9%
폐업 527
 
20.7%
제외/삭제/전출 92
 
3.6%
취소/말소/만료/정지/중지 20
 
0.8%

상세영업상태코드
Real number (ℝ)

Distinct7
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.412112
Minimum3
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.5 KiB
2024-04-06T20:36:20.172186image/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 deviation4.9291641
Coefficient of variation (CV)0.43192393
Kurtosis5.3014071
Mean11.412112
Median Absolute Deviation (MAD)0
Skewness0.50597407
Sum29021
Variance24.296659
MonotonicityNot monotonic
2024-04-06T20:36:20.356176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
13 1904
74.9%
3 506
 
19.9%
15 92
 
3.6%
34 21
 
0.8%
35 8
 
0.3%
31 7
 
0.3%
32 5
 
0.2%
ValueCountFrequency (%)
3 506
 
19.9%
13 1904
74.9%
15 92
 
3.6%
31 7
 
0.3%
32 5
 
0.2%
34 21
 
0.8%
35 8
 
0.3%
ValueCountFrequency (%)
35 8
 
0.3%
34 21
 
0.8%
32 5
 
0.2%
31 7
 
0.3%
15 92
 
3.6%
13 1904
74.9%
3 506
 
19.9%

상세영업상태명
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size20.0 KiB
영업중
1904 
폐업
506 
전출
 
92
영업장폐쇄
 
21
직권말소
 
8
Other values (2)
 
12

Length

Max length5
Median length3
Mean length2.7892253
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 1904
74.9%
폐업 506
 
19.9%
전출 92
 
3.6%
영업장폐쇄 21
 
0.8%
직권말소 8
 
0.3%
등록취소 7
 
0.3%
신고취소 5
 
0.2%

Length

2024-04-06T20:36:20.579649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:36:20.767333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 1904
74.9%
폐업 506
 
19.9%
전출 92
 
3.6%
영업장폐쇄 21
 
0.8%
직권말소 8
 
0.3%
등록취소 7
 
0.3%
신고취소 5
 
0.2%

폐업일자
Date

MISSING 

Distinct546
Distinct (%)87.4%
Missing1918
Missing (%)75.4%
Memory size20.0 KiB
Minimum1995-01-01 00:00:00
Maximum2024-04-04 00:00:00
2024-04-06T20:36:21.016105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:36:21.395885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2543
Missing (%)100.0%
Memory size22.5 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2543
Missing (%)100.0%
Memory size22.5 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2543
Missing (%)100.0%
Memory size22.5 KiB

전화번호
Text

MISSING 

Distinct941
Distinct (%)96.4%
Missing1567
Missing (%)61.6%
Memory size20.0 KiB
2024-04-06T20:36:21.966790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length10.433402
Min length7

Characters and Unicode

Total characters10183
Distinct characters16
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

Unique906 ?
Unique (%)92.8%

Sample

1st row02-830-1592
2nd row02-567-2027
3rd row3210-0268
4th row02-6269-0102
5th row02-541-4548
ValueCountFrequency (%)
02 13
 
1.3%
2260-2800 2
 
0.2%
02-6085-1230 2
 
0.2%
070-4304-6643 2
 
0.2%
070-7618-0321 2
 
0.2%
02-517-5748 2
 
0.2%
875-1030 2
 
0.2%
3463-3531 2
 
0.2%
070-7716-6432 2
 
0.2%
0507-888-0069 2
 
0.2%
Other values (946) 975
96.9%
2024-04-06T20:36:22.531702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1517
14.9%
0 1509
14.8%
2 1366
13.4%
3 845
8.3%
7 840
8.2%
5 825
8.1%
4 743
7.3%
1 716
7.0%
8 678
6.7%
6 589
 
5.8%
Other values (6) 555
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8624
84.7%
Dash Punctuation 1517
 
14.9%
Space Separator 30
 
0.3%
Math Symbol 8
 
0.1%
Close Punctuation 3
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1509
17.5%
2 1366
15.8%
3 845
9.8%
7 840
9.7%
5 825
9.6%
4 743
8.6%
1 716
8.3%
8 678
7.9%
6 589
 
6.8%
9 513
 
5.9%
Math Symbol
ValueCountFrequency (%)
~ 7
87.5%
= 1
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
- 1517
100.0%
Space Separator
ValueCountFrequency (%)
30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10183
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1517
14.9%
0 1509
14.8%
2 1366
13.4%
3 845
8.3%
7 840
8.2%
5 825
8.1%
4 743
7.3%
1 716
7.0%
8 678
6.7%
6 589
 
5.8%
Other values (6) 555
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10183
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1517
14.9%
0 1509
14.8%
2 1366
13.4%
3 845
8.3%
7 840
8.2%
5 825
8.1%
4 743
7.3%
1 716
7.0%
8 678
6.7%
6 589
 
5.8%
Other values (6) 555
 
5.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2543
Missing (%)100.0%
Memory size22.5 KiB

소재지우편번호
Text

MISSING 

Distinct286
Distinct (%)70.3%
Missing2136
Missing (%)84.0%
Memory size20.0 KiB
2024-04-06T20:36:23.044342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.007371
Min length6

Characters and Unicode

Total characters2445
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

Unique214 ?
Unique (%)52.6%

Sample

1st row120-818
2nd row151-895
3rd row140888
4th row122819
5th row151895
ValueCountFrequency (%)
151895 15
 
3.7%
150896 10
 
2.5%
137894 5
 
1.2%
137806 5
 
1.2%
151860 4
 
1.0%
140883 4
 
1.0%
137860 4
 
1.0%
137807 3
 
0.7%
137810 3
 
0.7%
137891 3
 
0.7%
Other values (276) 351
86.2%
2024-04-06T20:36:23.823217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 577
23.6%
8 353
14.4%
0 317
13.0%
5 269
11.0%
3 250
10.2%
7 201
 
8.2%
9 135
 
5.5%
2 123
 
5.0%
4 110
 
4.5%
6 107
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2442
99.9%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 577
23.6%
8 353
14.5%
0 317
13.0%
5 269
11.0%
3 250
10.2%
7 201
 
8.2%
9 135
 
5.5%
2 123
 
5.0%
4 110
 
4.5%
6 107
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2445
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 577
23.6%
8 353
14.4%
0 317
13.0%
5 269
11.0%
3 250
10.2%
7 201
 
8.2%
9 135
 
5.5%
2 123
 
5.0%
4 110
 
4.5%
6 107
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2445
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 577
23.6%
8 353
14.4%
0 317
13.0%
5 269
11.0%
3 250
10.2%
7 201
 
8.2%
9 135
 
5.5%
2 123
 
5.0%
4 110
 
4.5%
6 107
 
4.4%
Distinct2037
Distinct (%)80.1%
Missing0
Missing (%)0.0%
Memory size20.0 KiB
2024-04-06T20:36:24.347460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length40
Mean length26.119544
Min length13

Characters and Unicode

Total characters66422
Distinct characters497
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1784 ?
Unique (%)70.2%

Sample

1st row서울특별시 마포구 성산동 **-* Yohan house
2nd row서울특별시 송파구 가락동 **-*
3rd row서울특별시 관악구 봉천동 ***-* 금성빌딩
4th row서울특별시 강남구 역삼동 ***-**
5th row서울특별시 강남구 논현동 *-** 국민연금강남회관
ValueCountFrequency (%)
서울특별시 2543
20.1%
번지 1362
 
10.8%
1163
 
9.2%
강남구 484
 
3.8%
412
 
3.3%
서초구 309
 
2.4%
303
 
2.4%
마포구 295
 
2.3%
송파구 193
 
1.5%
영등포구 191
 
1.5%
Other values (1487) 5373
42.5%
2024-04-06T20:36:25.222839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 12905
19.4%
11580
17.4%
3227
 
4.9%
2892
 
4.4%
2663
 
4.0%
2584
 
3.9%
2572
 
3.9%
2547
 
3.8%
2544
 
3.8%
- 2156
 
3.2%
Other values (487) 20752
31.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 39214
59.0%
Other Punctuation 12939
 
19.5%
Space Separator 11580
 
17.4%
Dash Punctuation 2156
 
3.2%
Uppercase Letter 318
 
0.5%
Decimal Number 100
 
0.2%
Lowercase Letter 56
 
0.1%
Close Punctuation 28
 
< 0.1%
Open Punctuation 28
 
< 0.1%
Letter Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3227
 
8.2%
2892
 
7.4%
2663
 
6.8%
2584
 
6.6%
2572
 
6.6%
2547
 
6.5%
2544
 
6.5%
1596
 
4.1%
1379
 
3.5%
690
 
1.8%
Other values (426) 16520
42.1%
Uppercase Letter
ValueCountFrequency (%)
B 50
15.7%
E 26
 
8.2%
C 23
 
7.2%
S 20
 
6.3%
T 20
 
6.3%
A 18
 
5.7%
R 14
 
4.4%
L 14
 
4.4%
K 13
 
4.1%
M 13
 
4.1%
Other values (15) 107
33.6%
Lowercase Letter
ValueCountFrequency (%)
e 14
25.0%
o 7
12.5%
h 5
 
8.9%
r 5
 
8.9%
w 4
 
7.1%
c 4
 
7.1%
l 3
 
5.4%
n 3
 
5.4%
a 3
 
5.4%
t 2
 
3.6%
Other values (4) 6
10.7%
Decimal Number
ValueCountFrequency (%)
1 23
23.0%
7 11
11.0%
3 11
11.0%
2 11
11.0%
0 10
10.0%
6 10
10.0%
5 8
 
8.0%
9 7
 
7.0%
4 5
 
5.0%
8 4
 
4.0%
Other Punctuation
ValueCountFrequency (%)
* 12905
99.7%
, 30
 
0.2%
/ 2
 
< 0.1%
. 1
 
< 0.1%
? 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
1
50.0%
1
50.0%
Space Separator
ValueCountFrequency (%)
11580
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2156
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 39214
59.0%
Common 26832
40.4%
Latin 376
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3227
 
8.2%
2892
 
7.4%
2663
 
6.8%
2584
 
6.6%
2572
 
6.6%
2547
 
6.5%
2544
 
6.5%
1596
 
4.1%
1379
 
3.5%
690
 
1.8%
Other values (426) 16520
42.1%
Latin
ValueCountFrequency (%)
B 50
 
13.3%
E 26
 
6.9%
C 23
 
6.1%
S 20
 
5.3%
T 20
 
5.3%
A 18
 
4.8%
R 14
 
3.7%
L 14
 
3.7%
e 14
 
3.7%
K 13
 
3.5%
Other values (31) 164
43.6%
Common
ValueCountFrequency (%)
* 12905
48.1%
11580
43.2%
- 2156
 
8.0%
, 30
 
0.1%
) 28
 
0.1%
( 28
 
0.1%
1 23
 
0.1%
7 11
 
< 0.1%
3 11
 
< 0.1%
2 11
 
< 0.1%
Other values (10) 49
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 39214
59.0%
ASCII 27206
41.0%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 12905
47.4%
11580
42.6%
- 2156
 
7.9%
B 50
 
0.2%
, 30
 
0.1%
) 28
 
0.1%
( 28
 
0.1%
E 26
 
0.1%
C 23
 
0.1%
1 23
 
0.1%
Other values (49) 357
 
1.3%
Hangul
ValueCountFrequency (%)
3227
 
8.2%
2892
 
7.4%
2663
 
6.8%
2584
 
6.6%
2572
 
6.6%
2547
 
6.5%
2544
 
6.5%
1596
 
4.1%
1379
 
3.5%
690
 
1.8%
Other values (426) 16520
42.1%
Number Forms
ValueCountFrequency (%)
1
50.0%
1
50.0%

도로명주소
Text

MISSING 

Distinct2281
Distinct (%)91.6%
Missing54
Missing (%)2.1%
Memory size20.0 KiB
2024-04-06T20:36:25.771825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length50
Mean length34.151065
Min length21

Characters and Unicode

Total characters85002
Distinct characters533
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2133 ?
Unique (%)85.7%

Sample

1st row서울특별시 마포구 성미산로 **, *층 (성산동)
2nd row서울특별시 송파구 중대로*길 ** (가락동)
3rd row서울특별시 관악구 봉천로 ***-*, 금성빌딩 ***호 (봉천동)
4th row서울특별시 강남구 역삼로*길 ** (역삼동)
5th row서울특별시 강남구 도산대로 ***, 국민연금강남회관 (논현동)
ValueCountFrequency (%)
2492
 
15.5%
서울특별시 2489
 
15.5%
863
 
5.4%
806
 
5.0%
강남구 482
 
3.0%
서초구 302
 
1.9%
마포구 292
 
1.8%
송파구 193
 
1.2%
영등포구 187
 
1.2%
지층 175
 
1.1%
Other values (2427) 7796
48.5%
2024-04-06T20:36:26.792461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14053
 
16.5%
* 13684
 
16.1%
3275
 
3.9%
3148
 
3.7%
, 2689
 
3.2%
2661
 
3.1%
2640
 
3.1%
2537
 
3.0%
2530
 
3.0%
) 2510
 
3.0%
Other values (523) 35275
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 48574
57.1%
Other Punctuation 16376
 
19.3%
Space Separator 14053
 
16.5%
Close Punctuation 2510
 
3.0%
Open Punctuation 2510
 
3.0%
Dash Punctuation 396
 
0.5%
Uppercase Letter 390
 
0.5%
Decimal Number 134
 
0.2%
Lowercase Letter 45
 
0.1%
Math Symbol 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3275
 
6.7%
3148
 
6.5%
2661
 
5.5%
2640
 
5.4%
2537
 
5.2%
2530
 
5.2%
2494
 
5.1%
2490
 
5.1%
1506
 
3.1%
1320
 
2.7%
Other values (464) 23973
49.4%
Uppercase Letter
ValueCountFrequency (%)
B 104
26.7%
C 35
 
9.0%
A 30
 
7.7%
S 23
 
5.9%
E 22
 
5.6%
M 17
 
4.4%
T 16
 
4.1%
L 15
 
3.8%
K 15
 
3.8%
I 14
 
3.6%
Other values (15) 99
25.4%
Lowercase Letter
ValueCountFrequency (%)
e 12
26.7%
r 5
11.1%
o 5
11.1%
c 4
 
8.9%
w 4
 
8.9%
h 3
 
6.7%
t 3
 
6.7%
l 2
 
4.4%
n 2
 
4.4%
a 2
 
4.4%
Other values (2) 3
 
6.7%
Decimal Number
ValueCountFrequency (%)
1 29
21.6%
3 20
14.9%
4 18
13.4%
2 17
12.7%
0 16
11.9%
5 9
 
6.7%
8 8
 
6.0%
6 7
 
5.2%
7 6
 
4.5%
9 4
 
3.0%
Other Punctuation
ValueCountFrequency (%)
* 13684
83.6%
, 2689
 
16.4%
. 1
 
< 0.1%
/ 1
 
< 0.1%
? 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
1
50.0%
1
50.0%
Space Separator
ValueCountFrequency (%)
14053
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2510
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2510
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 396
100.0%
Math Symbol
ValueCountFrequency (%)
~ 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 48572
57.1%
Common 35991
42.3%
Latin 437
 
0.5%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3275
 
6.7%
3148
 
6.5%
2661
 
5.5%
2640
 
5.4%
2537
 
5.2%
2530
 
5.2%
2494
 
5.1%
2490
 
5.1%
1506
 
3.1%
1320
 
2.7%
Other values (462) 23971
49.4%
Latin
ValueCountFrequency (%)
B 104
23.8%
C 35
 
8.0%
A 30
 
6.9%
S 23
 
5.3%
E 22
 
5.0%
M 17
 
3.9%
T 16
 
3.7%
L 15
 
3.4%
K 15
 
3.4%
I 14
 
3.2%
Other values (29) 146
33.4%
Common
ValueCountFrequency (%)
14053
39.0%
* 13684
38.0%
, 2689
 
7.5%
) 2510
 
7.0%
( 2510
 
7.0%
- 396
 
1.1%
1 29
 
0.1%
3 20
 
0.1%
4 18
 
0.1%
2 17
 
< 0.1%
Other values (10) 65
 
0.2%
Han
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 48572
57.1%
ASCII 36426
42.9%
Number Forms 2
 
< 0.1%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14053
38.6%
* 13684
37.6%
, 2689
 
7.4%
) 2510
 
6.9%
( 2510
 
6.9%
- 396
 
1.1%
B 104
 
0.3%
C 35
 
0.1%
A 30
 
0.1%
1 29
 
0.1%
Other values (47) 386
 
1.1%
Hangul
ValueCountFrequency (%)
3275
 
6.7%
3148
 
6.5%
2661
 
5.5%
2640
 
5.4%
2537
 
5.2%
2530
 
5.2%
2494
 
5.1%
2490
 
5.1%
1506
 
3.1%
1320
 
2.7%
Other values (462) 23971
49.4%
Number Forms
ValueCountFrequency (%)
1
50.0%
1
50.0%
CJK
ValueCountFrequency (%)
1
50.0%
1
50.0%

도로명우편번호
Text

MISSING 

Distinct1157
Distinct (%)58.1%
Missing552
Missing (%)21.7%
Memory size20.0 KiB
2024-04-06T20:36:27.358856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0371673
Min length5

Characters and Unicode

Total characters10029
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

Unique752 ?
Unique (%)37.8%

Sample

1st row03997
2nd row05712
3rd row08720
4th row06243
5th row06039
ValueCountFrequency (%)
05712 24
 
1.2%
05711 21
 
1.1%
06024 11
 
0.6%
05713 11
 
0.6%
06049 10
 
0.5%
06097 10
 
0.5%
03925 9
 
0.5%
04031 9
 
0.5%
06524 9
 
0.5%
05548 8
 
0.4%
Other values (1147) 1869
93.9%
2024-04-06T20:36:28.208899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2758
27.5%
6 1083
 
10.8%
7 897
 
8.9%
3 872
 
8.7%
4 871
 
8.7%
5 804
 
8.0%
2 768
 
7.7%
1 765
 
7.6%
8 651
 
6.5%
9 556
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10025
> 99.9%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2758
27.5%
6 1083
 
10.8%
7 897
 
8.9%
3 872
 
8.7%
4 871
 
8.7%
5 804
 
8.0%
2 768
 
7.7%
1 765
 
7.6%
8 651
 
6.5%
9 556
 
5.5%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10029
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2758
27.5%
6 1083
 
10.8%
7 897
 
8.9%
3 872
 
8.7%
4 871
 
8.7%
5 804
 
8.0%
2 768
 
7.7%
1 765
 
7.6%
8 651
 
6.5%
9 556
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10029
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2758
27.5%
6 1083
 
10.8%
7 897
 
8.9%
3 872
 
8.7%
4 871
 
8.7%
5 804
 
8.0%
2 768
 
7.7%
1 765
 
7.6%
8 651
 
6.5%
9 556
 
5.5%
Distinct2428
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size20.0 KiB
2024-04-06T20:36:28.970443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length34
Mean length8.9854503
Min length1

Characters and Unicode

Total characters22850
Distinct characters732
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2323 ?
Unique (%)91.3%

Sample

1st row(주)브로드웨이
2nd row로또노래
3rd row루루프로덕션
4th row제이제이뮤직그룹
5th row주식회사 로커스
ValueCountFrequency (%)
주식회사 454
 
12.4%
엔터테인먼트 41
 
1.1%
스튜디오 28
 
0.8%
music 23
 
0.6%
뮤직 23
 
0.6%
노래뮤비방 21
 
0.6%
영상제작실 16
 
0.4%
사운드 15
 
0.4%
뮤비방 14
 
0.4%
노래영상제작실 12
 
0.3%
Other values (2709) 3024
82.4%
2024-04-06T20:36:30.222497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1183
 
5.2%
1130
 
4.9%
) 900
 
3.9%
( 900
 
3.9%
691
 
3.0%
608
 
2.7%
602
 
2.6%
498
 
2.2%
484
 
2.1%
468
 
2.0%
Other values (722) 15386
67.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17430
76.3%
Uppercase Letter 1183
 
5.2%
Space Separator 1130
 
4.9%
Lowercase Letter 1113
 
4.9%
Close Punctuation 901
 
3.9%
Open Punctuation 901
 
3.9%
Decimal Number 100
 
0.4%
Other Punctuation 69
 
0.3%
Dash Punctuation 17
 
0.1%
Other Symbol 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1183
 
6.8%
691
 
4.0%
608
 
3.5%
602
 
3.5%
498
 
2.9%
484
 
2.8%
468
 
2.7%
395
 
2.3%
373
 
2.1%
373
 
2.1%
Other values (648) 11755
67.4%
Lowercase Letter
ValueCountFrequency (%)
e 113
10.2%
o 107
9.6%
i 98
 
8.8%
n 97
 
8.7%
t 92
 
8.3%
r 80
 
7.2%
a 78
 
7.0%
u 69
 
6.2%
s 64
 
5.8%
d 58
 
5.2%
Other values (16) 257
23.1%
Uppercase Letter
ValueCountFrequency (%)
S 100
 
8.5%
E 97
 
8.2%
M 91
 
7.7%
O 77
 
6.5%
A 74
 
6.3%
I 67
 
5.7%
C 67
 
5.7%
T 67
 
5.7%
R 64
 
5.4%
L 61
 
5.2%
Other values (16) 418
35.3%
Decimal Number
ValueCountFrequency (%)
1 22
22.0%
2 20
20.0%
0 11
11.0%
9 10
10.0%
8 9
9.0%
5 7
 
7.0%
7 6
 
6.0%
4 5
 
5.0%
3 5
 
5.0%
6 5
 
5.0%
Other Punctuation
ValueCountFrequency (%)
. 42
60.9%
, 12
 
17.4%
& 10
 
14.5%
' 4
 
5.8%
: 1
 
1.4%
Close Punctuation
ValueCountFrequency (%)
) 900
99.9%
] 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 900
99.9%
[ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
1130
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Other Symbol
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17432
76.3%
Common 3118
 
13.6%
Latin 2296
 
10.0%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1183
 
6.8%
691
 
4.0%
608
 
3.5%
602
 
3.5%
498
 
2.9%
484
 
2.8%
468
 
2.7%
395
 
2.3%
373
 
2.1%
373
 
2.1%
Other values (645) 11757
67.4%
Latin
ValueCountFrequency (%)
e 113
 
4.9%
o 107
 
4.7%
S 100
 
4.4%
i 98
 
4.3%
E 97
 
4.2%
n 97
 
4.2%
t 92
 
4.0%
M 91
 
4.0%
r 80
 
3.5%
a 78
 
3.4%
Other values (42) 1343
58.5%
Common
ValueCountFrequency (%)
1130
36.2%
) 900
28.9%
( 900
28.9%
. 42
 
1.3%
1 22
 
0.7%
2 20
 
0.6%
- 17
 
0.5%
, 12
 
0.4%
0 11
 
0.4%
& 10
 
0.3%
Other values (11) 54
 
1.7%
Han
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17425
76.3%
ASCII 5414
 
23.7%
None 6
 
< 0.1%
CJK 4
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1183
 
6.8%
691
 
4.0%
608
 
3.5%
602
 
3.5%
498
 
2.9%
484
 
2.8%
468
 
2.7%
395
 
2.3%
373
 
2.1%
373
 
2.1%
Other values (643) 11750
67.4%
ASCII
ValueCountFrequency (%)
1130
20.9%
) 900
16.6%
( 900
16.6%
e 113
 
2.1%
o 107
 
2.0%
S 100
 
1.8%
i 98
 
1.8%
E 97
 
1.8%
n 97
 
1.8%
t 92
 
1.7%
Other values (63) 1780
32.9%
None
ValueCountFrequency (%)
6
100.0%
CJK
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Compat Jamo
ValueCountFrequency (%)
1
100.0%

최종수정일자
Date

UNIQUE 

Distinct2543
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size20.0 KiB
Minimum2006-01-31 17:41:03
Maximum2024-04-04 17:47:05
2024-04-06T20:36:30.811576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:36:31.251115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.0 KiB
I
1923 
U
619 
D
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
I 1923
75.6%
U 619
 
24.3%
D 1
 
< 0.1%

Length

2024-04-06T20:36:31.562281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:36:31.806954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1923
75.6%
u 619
 
24.3%
d 1
 
< 0.1%
Distinct909
Distinct (%)35.7%
Missing0
Missing (%)0.0%
Memory size20.0 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:06:00
2024-04-06T20:36:32.032511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:36:32.315495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2543
Missing (%)100.0%
Memory size22.5 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct2137
Distinct (%)85.8%
Missing52
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean199020.28
Minimum182941.06
Maximum215875.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.5 KiB
2024-04-06T20:36:32.649259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum182941.06
5-th percentile189117.69
Q1192976.68
median200267.61
Q3203599.97
95-th percentile210519.55
Maximum215875.02
Range32933.967
Interquartile range (IQR)10623.287

Descriptive statistics

Standard deviation6572.6711
Coefficient of variation (CV)0.033025133
Kurtosis-0.84668181
Mean199020.28
Median Absolute Deviation (MAD)5069.7363
Skewness-0.020373061
Sum4.9575952 × 108
Variance43200006
MonotonicityNot monotonic
2024-04-06T20:36:32.971724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
194530.535390096 11
 
0.4%
193282.654266684 8
 
0.3%
210446.492080187 8
 
0.3%
201597.33589429 7
 
0.3%
189855.433985731 6
 
0.2%
189954.316212248 5
 
0.2%
193469.554731741 5
 
0.2%
193377.923599121 5
 
0.2%
201653.626887432 5
 
0.2%
192652.282023976 5
 
0.2%
Other values (2127) 2426
95.4%
(Missing) 52
 
2.0%
ValueCountFrequency (%)
182941.05762285 1
< 0.1%
183090.805509245 1
< 0.1%
183150.697043385 1
< 0.1%
183156.780629268 1
< 0.1%
183172.231545973 1
< 0.1%
183196.241634259 1
< 0.1%
183223.634691766 1
< 0.1%
183272.778941533 1
< 0.1%
183342.868967294 1
< 0.1%
183459.684714928 1
< 0.1%
ValueCountFrequency (%)
215875.024969 1
< 0.1%
213447.791183965 1
< 0.1%
213374.482750903 1
< 0.1%
213048.692179757 1
< 0.1%
212978.232801771 1
< 0.1%
212812.958062523 1
< 0.1%
212811.975075042 1
< 0.1%
212778.134295517 2
0.1%
212755.661843784 1
< 0.1%
212669.948342133 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct2137
Distinct (%)85.8%
Missing52
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean447347.17
Minimum437799.81
Maximum464404.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.5 KiB
2024-04-06T20:36:33.267174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum437799.81
5-th percentile441474.78
Q1443808.73
median446545.64
Q3450255.04
95-th percentile455617.03
Maximum464404.9
Range26605.086
Interquartile range (IQR)6446.3095

Descriptive statistics

Standard deviation4473.1373
Coefficient of variation (CV)0.0099992524
Kurtosis0.59160697
Mean447347.17
Median Absolute Deviation (MAD)3075.8881
Skewness0.81858084
Sum1.1143418 × 109
Variance20008957
MonotonicityNot monotonic
2024-04-06T20:36:33.538400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
446306.787198089 11
 
0.4%
447611.552045596 8
 
0.3%
443650.986621016 8
 
0.3%
451219.326465499 7
 
0.3%
453614.583448105 6
 
0.2%
453263.335891345 5
 
0.2%
446508.068667777 5
 
0.2%
442372.743103549 5
 
0.2%
451240.921057266 5
 
0.2%
449483.723207355 5
 
0.2%
Other values (2127) 2426
95.4%
(Missing) 52
 
2.0%
ValueCountFrequency (%)
437799.809089881 1
< 0.1%
438200.726855847 1
< 0.1%
438638.826577073 1
< 0.1%
438675.144654996 1
< 0.1%
438734.460577649 1
< 0.1%
438995.066815365 1
< 0.1%
439169.359799687 1
< 0.1%
439205.430021381 1
< 0.1%
439209.588198806 1
< 0.1%
439333.421297264 1
< 0.1%
ValueCountFrequency (%)
464404.895005692 1
< 0.1%
464295.628375287 1
< 0.1%
463692.102817463 1
< 0.1%
463676.931679731 1
< 0.1%
463676.487461111 1
< 0.1%
463081.152986634 1
< 0.1%
462646.489637075 1
< 0.1%
462580.526886982 1
< 0.1%
462363.64132245 1
< 0.1%
462226.89533429 1
< 0.1%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.0 KiB
음반.음악영상물제작업
1791 
<NA>
752 

Length

Max length11
Median length11
Mean length8.9300039
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 (%)
음반.음악영상물제작업 1791
70.4%
<NA> 752
29.6%

Length

2024-04-06T20:36:33.779618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:36:34.034256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음반.음악영상물제작업 1791
70.4%
na 752
29.6%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.0 KiB
유통관련업
1791 
<NA>
752 

Length

Max length5
Median length5
Mean length4.7042863
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 (%)
유통관련업 1791
70.4%
<NA> 752
29.6%

Length

2024-04-06T20:36:34.286999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:36:34.470658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 1791
70.4%
na 752
29.6%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct17
Distinct (%)4.0%
Missing2119
Missing (%)83.3%
Infinite0
Infinite (%)0.0%
Mean1.2735849
Minimum0
Maximum30
Zeros332
Zeros (%)13.1%
Negative0
Negative (%)0.0%
Memory size22.5 KiB
2024-04-06T20:36:34.644417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum30
Range30
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.3931736
Coefficient of variation (CV)2.6642696
Kurtosis21.985365
Mean1.2735849
Median Absolute Deviation (MAD)0
Skewness4.1625287
Sum540
Variance11.513627
MonotonicityNot monotonic
2024-04-06T20:36:34.848378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 332
 
13.1%
5 23
 
0.9%
4 19
 
0.7%
3 13
 
0.5%
1 10
 
0.4%
6 5
 
0.2%
2 4
 
0.2%
15 4
 
0.2%
8 3
 
0.1%
16 2
 
0.1%
Other values (7) 9
 
0.4%
(Missing) 2119
83.3%
ValueCountFrequency (%)
0 332
13.1%
1 10
 
0.4%
2 4
 
0.2%
3 13
 
0.5%
4 19
 
0.7%
5 23
 
0.9%
6 5
 
0.2%
8 3
 
0.1%
9 1
 
< 0.1%
10 2
 
0.1%
ValueCountFrequency (%)
30 1
 
< 0.1%
23 1
 
< 0.1%
19 1
 
< 0.1%
17 1
 
< 0.1%
16 2
0.1%
15 4
0.2%
14 2
0.1%
10 2
0.1%
9 1
 
< 0.1%
8 3
0.1%

주변환경명
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size20.0 KiB
<NA>
2482 
기타
 
21
주택가주변
 
21
유흥업소밀집지역
 
9
학교정화(상대)
 
5
Other values (2)
 
5

Length

Max length8
Median length4
Mean length4.0169092
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> 2482
97.6%
기타 21
 
0.8%
주택가주변 21
 
0.8%
유흥업소밀집지역 9
 
0.4%
학교정화(상대) 5
 
0.2%
아파트지역 4
 
0.2%
학교정화(절대) 1
 
< 0.1%

Length

2024-04-06T20:36:35.066439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:36:35.275480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2482
97.6%
기타 21
 
0.8%
주택가주변 21
 
0.8%
유흥업소밀집지역 9
 
0.4%
학교정화(상대 5
 
0.2%
아파트지역 4
 
0.2%
학교정화(절대 1
 
< 0.1%
Distinct502
Distinct (%)37.7%
Missing1212
Missing (%)47.7%
Memory size20.0 KiB
2024-04-06T20:36:35.608488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length32
Mean length7.417731
Min length2

Characters and Unicode

Total characters9873
Distinct characters225
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique416 ?
Unique (%)31.3%

Sample

1st row각종 음반
2nd rowDVD, CD 등 음반
3rd row음반 및 뮤직비디오 등
4th row영상컨텐츠
5th rowCD, 카세트, 뮤직비디오DVD
ValueCountFrequency (%)
음반 536
24.8%
음악영상물 138
 
6.4%
뮤직비디오 98
 
4.5%
제작 91
 
4.2%
85
 
3.9%
음반,음악영상물 75
 
3.5%
음원 70
 
3.2%
영상물 69
 
3.2%
음반음악영상물 48
 
2.2%
음반제작 47
 
2.2%
Other values (391) 907
41.9%
2024-04-06T20:36:36.312977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1640
16.6%
952
 
9.6%
833
 
8.4%
670
 
6.8%
659
 
6.7%
, 619
 
6.3%
536
 
5.4%
528
 
5.3%
343
 
3.5%
340
 
3.4%
Other values (215) 2753
27.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7942
80.4%
Space Separator 833
 
8.4%
Other Punctuation 686
 
6.9%
Uppercase Letter 302
 
3.1%
Lowercase Letter 41
 
0.4%
Close Punctuation 34
 
0.3%
Open Punctuation 34
 
0.3%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1640
20.6%
952
12.0%
670
 
8.4%
659
 
8.3%
536
 
6.7%
528
 
6.6%
343
 
4.3%
340
 
4.3%
208
 
2.6%
188
 
2.4%
Other values (181) 1878
23.6%
Uppercase Letter
ValueCountFrequency (%)
D 111
36.8%
C 63
20.9%
S 37
 
12.3%
V 21
 
7.0%
U 15
 
5.0%
B 13
 
4.3%
T 9
 
3.0%
P 8
 
2.6%
A 6
 
2.0%
L 5
 
1.7%
Other values (6) 14
 
4.6%
Lowercase Letter
ValueCountFrequency (%)
d 13
31.7%
c 7
17.1%
p 6
14.6%
v 3
 
7.3%
e 3
 
7.3%
b 2
 
4.9%
u 2
 
4.9%
s 2
 
4.9%
a 2
 
4.9%
t 1
 
2.4%
Other Punctuation
ValueCountFrequency (%)
, 619
90.2%
. 34
 
5.0%
? 29
 
4.2%
/ 4
 
0.6%
Space Separator
ValueCountFrequency (%)
833
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7942
80.4%
Common 1588
 
16.1%
Latin 343
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1640
20.6%
952
12.0%
670
 
8.4%
659
 
8.3%
536
 
6.7%
528
 
6.6%
343
 
4.3%
340
 
4.3%
208
 
2.6%
188
 
2.4%
Other values (181) 1878
23.6%
Latin
ValueCountFrequency (%)
D 111
32.4%
C 63
18.4%
S 37
 
10.8%
V 21
 
6.1%
U 15
 
4.4%
d 13
 
3.8%
B 13
 
3.8%
T 9
 
2.6%
P 8
 
2.3%
c 7
 
2.0%
Other values (16) 46
13.4%
Common
ValueCountFrequency (%)
833
52.5%
, 619
39.0%
. 34
 
2.1%
) 34
 
2.1%
( 34
 
2.1%
? 29
 
1.8%
/ 4
 
0.3%
1 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7942
80.4%
ASCII 1931
 
19.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1640
20.6%
952
12.0%
670
 
8.4%
659
 
8.3%
536
 
6.7%
528
 
6.6%
343
 
4.3%
340
 
4.3%
208
 
2.6%
188
 
2.4%
Other values (181) 1878
23.6%
ASCII
ValueCountFrequency (%)
833
43.1%
, 619
32.1%
D 111
 
5.7%
C 63
 
3.3%
S 37
 
1.9%
. 34
 
1.8%
) 34
 
1.8%
( 34
 
1.8%
? 29
 
1.5%
V 21
 
1.1%
Other values (24) 116
 
6.0%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct448
Distinct (%)55.9%
Missing1741
Missing (%)68.5%
Infinite0
Infinite (%)0.0%
Mean85.894401
Minimum0
Maximum4820.26
Zeros279
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size22.5 KiB
2024-04-06T20:36:36.600993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median39.325
Q3112.045
95-th percentile267.515
Maximum4820.26
Range4820.26
Interquartile range (IQR)112.045

Descriptive statistics

Standard deviation222.37316
Coefficient of variation (CV)2.5889133
Kurtosis271.85116
Mean85.894401
Median Absolute Deviation (MAD)39.325
Skewness14.091708
Sum68887.31
Variance49449.821
MonotonicityNot monotonic
2024-04-06T20:36:36.906539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 279
 
11.0%
20.0 8
 
0.3%
33.0 7
 
0.3%
99.0 6
 
0.2%
30.0 5
 
0.2%
165.0 5
 
0.2%
3.3 5
 
0.2%
128.93 4
 
0.2%
50.0 4
 
0.2%
18.0 3
 
0.1%
Other values (438) 476
 
18.7%
(Missing) 1741
68.5%
ValueCountFrequency (%)
0.0 279
11.0%
1.0 2
 
0.1%
1.3 1
 
< 0.1%
1.65 1
 
< 0.1%
2.0 2
 
0.1%
2.6 1
 
< 0.1%
3.0 1
 
< 0.1%
3.3 5
 
0.2%
4.0 1
 
< 0.1%
6.0 1
 
< 0.1%
ValueCountFrequency (%)
4820.26 1
< 0.1%
2355.2 1
< 0.1%
1285.74 1
< 0.1%
1064.99 1
< 0.1%
996.0 1
< 0.1%
975.21 1
< 0.1%
915.7 1
< 0.1%
677.6 1
< 0.1%
611.9 1
< 0.1%
599.46 1
< 0.1%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)3.7%
Missing2108
Missing (%)82.9%
Infinite0
Infinite (%)0.0%
Mean1.1333333
Minimum0
Maximum22
Zeros324
Zeros (%)12.7%
Negative0
Negative (%)0.0%
Memory size22.5 KiB
2024-04-06T20:36:37.127783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile6
Maximum22
Range22
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.7281882
Coefficient of variation (CV)2.4072249
Kurtosis18.457034
Mean1.1333333
Median Absolute Deviation (MAD)0
Skewness3.789317
Sum493
Variance7.4430108
MonotonicityNot monotonic
2024-04-06T20:36:37.305931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 324
 
12.7%
2 25
 
1.0%
4 21
 
0.8%
3 17
 
0.7%
1 14
 
0.6%
5 11
 
0.4%
7 5
 
0.2%
8 4
 
0.2%
9 3
 
0.1%
6 2
 
0.1%
Other values (6) 9
 
0.4%
(Missing) 2108
82.9%
ValueCountFrequency (%)
0 324
12.7%
1 14
 
0.6%
2 25
 
1.0%
3 17
 
0.7%
4 21
 
0.8%
5 11
 
0.4%
6 2
 
0.1%
7 5
 
0.2%
8 4
 
0.2%
9 3
 
0.1%
ValueCountFrequency (%)
22 1
 
< 0.1%
20 1
 
< 0.1%
15 2
 
0.1%
14 2
 
0.1%
13 1
 
< 0.1%
10 2
 
0.1%
9 3
0.1%
8 4
0.2%
7 5
0.2%
6 2
 
0.1%

지하층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size20.0 KiB
<NA>
2118 
0
330 
1
 
88
2
 
5
4
 
2

Length

Max length4
Median length4
Mean length3.4986237
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> 2118
83.3%
0 330
 
13.0%
1 88
 
3.5%
2 5
 
0.2%
4 2
 
0.1%

Length

2024-04-06T20:36:37.503533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:36:37.727095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2118
83.3%
0 330
 
13.0%
1 88
 
3.5%
2 5
 
0.2%
4 2
 
0.1%

건물용도명
Categorical

IMBALANCE 

Distinct11
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size20.0 KiB
<NA>
2402 
근린생활시설
 
85
사무실
 
20
아파트
 
13
단독주택
 
8
Other values (6)
 
15

Length

Max length15
Median length4
Mean length4.0747149
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> 2402
94.5%
근린생활시설 85
 
3.3%
사무실 20
 
0.8%
아파트 13
 
0.5%
단독주택 8
 
0.3%
다세대주택 7
 
0.3%
다중주택(공동주택적용) 3
 
0.1%
다가구용 주택(공동주택적용) 2
 
0.1%
교육연구시설 1
 
< 0.1%
연립주택 1
 
< 0.1%

Length

2024-04-06T20:36:38.317816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 2402
94.4%
근린생활시설 85
 
3.3%
사무실 20
 
0.8%
아파트 13
 
0.5%
단독주택 8
 
0.3%
다세대주택 7
 
0.3%
다중주택(공동주택적용 3
 
0.1%
다가구용 2
 
0.1%
주택(공동주택적용 2
 
0.1%
교육연구시설 1
 
< 0.1%
Other values (2) 2
 
0.1%

통로너비
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.0 KiB
<NA>
2202 
0
341 

Length

Max length4
Median length4
Mean length3.5977192
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> 2202
86.6%
0 341
 
13.4%

Length

2024-04-06T20:36:38.515025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:36:38.700034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2202
86.6%
0 341
 
13.4%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.0 KiB
<NA>
2202 
0
341 

Length

Max length4
Median length4
Mean length3.5977192
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> 2202
86.6%
0 341
 
13.4%

Length

2024-04-06T20:36:38.924993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:36:39.104345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2202
86.6%
0 341
 
13.4%

노래방실수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.0 KiB
<NA>
2202 
0
341 

Length

Max length4
Median length4
Mean length3.5977192
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> 2202
86.6%
0 341
 
13.4%

Length

2024-04-06T20:36:39.361215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:36:39.782490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2202
86.6%
0 341
 
13.4%

청소년실수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.0 KiB
<NA>
2202 
0
341 

Length

Max length4
Median length4
Mean length3.5977192
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> 2202
86.6%
0 341
 
13.4%

Length

2024-04-06T20:36:40.058059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:36:40.281691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2202
86.6%
0 341
 
13.4%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2543
Missing (%)100.0%
Memory size22.5 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2543
Missing (%)100.0%
Memory size22.5 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2543
Missing (%)100.0%
Memory size22.5 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2543
Missing (%)100.0%
Memory size22.5 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2543
Missing (%)100.0%
Memory size22.5 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2543
Missing (%)100.0%
Memory size22.5 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2543
Missing (%)100.0%
Memory size22.5 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2543
Missing (%)100.0%
Memory size22.5 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2543
Missing (%)100.0%
Memory size22.5 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2543
Missing (%)100.0%
Memory size22.5 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2543
Missing (%)100.0%
Memory size22.5 KiB

총게임기수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.0 KiB
<NA>
2202 
0
341 

Length

Max length4
Median length4
Mean length3.5977192
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> 2202
86.6%
0 341
 
13.4%

Length

2024-04-06T20:36:40.490374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:36:40.706754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2202
86.6%
0 341
 
13.4%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2543
Missing (%)100.0%
Memory size22.5 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2543
Missing (%)100.0%
Memory size22.5 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2543
Missing (%)100.0%
Memory size22.5 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2543
Missing (%)100.0%
Memory size22.5 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2543
Missing (%)100.0%
Memory size22.5 KiB

지역구분명
Categorical

IMBALANCE 

Distinct10
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size20.0 KiB
<NA>
2438 
일반주거지역
 
57
주거지역
 
18
준주거지역
 
9
일반상업지역
 
7
Other values (5)
 
14

Length

Max length6
Median length4
Mean length4.0601652
Min length4

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2438
95.9%
일반주거지역 57
 
2.2%
주거지역 18
 
0.7%
준주거지역 9
 
0.4%
일반상업지역 7
 
0.3%
근린상업지역 5
 
0.2%
준공업지역 4
 
0.2%
상업지역 3
 
0.1%
전용주거지역 1
 
< 0.1%
공업지역 1
 
< 0.1%

Length

2024-04-06T20:36:40.901400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:36:41.132119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2438
95.9%
일반주거지역 57
 
2.2%
주거지역 18
 
0.7%
준주거지역 9
 
0.4%
일반상업지역 7
 
0.3%
근린상업지역 5
 
0.2%
준공업지역 4
 
0.2%
상업지역 3
 
0.1%
전용주거지역 1
 
< 0.1%
공업지역 1
 
< 0.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03130000CDFF32410620130000022013-01-10<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 성산동 **-* Yohan house서울특별시 마포구 성미산로 **, *층 (성산동)03997(주)브로드웨이2023-03-08 08:52:29U2022-12-02 23:00:00.0<NA>192064.153313450689.088022<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13230000CDFF32410620110000082011-12-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 가락동 **-*서울특별시 송파구 중대로*길 ** (가락동)05712로또노래2023-03-03 10:15:59U2022-12-03 00:05:00.0<NA>210473.897557443684.62312<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23200000CDFF32410620230000012023-03-06<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 ***-* 금성빌딩서울특별시 관악구 봉천로 ***-*, 금성빌딩 ***호 (봉천동)08720루루프로덕션2023-03-06 14:26:40I2022-12-03 00:08:00.0<NA>194088.959403442772.047531<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33220000CDFF32410620230000082023-03-06<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 역삼동 ***-**서울특별시 강남구 역삼로*길 ** (역삼동)06243제이제이뮤직그룹2023-03-06 17:52:54I2022-12-03 00:08:00.0<NA>202776.71097443697.332836<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43220000CDFF32410620230000092023-03-06<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 *-** 국민연금강남회관서울특별시 강남구 도산대로 ***, 국민연금강남회관 (논현동)06039주식회사 로커스2023-12-28 19:50:28U2022-11-01 21:00:00.0<NA>201924.485184446086.69291<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53230000CDFF32410620170000112017-09-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 가락동 **서울특별시 송파구 중대로*길 ** (가락동, 보광빌라)05711끼 노래뮤비방2023-03-06 09:51:52U2022-12-03 00:08:00.0<NA>210409.038481443730.017594<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63200000CDFF32410620230000022023-03-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 **-***서울특별시 관악구 쑥고개로 **, *층 (신림동)08783사단법인 지속가능월드네트워크2023-03-07 16:32:31I2022-12-03 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>
73170000CDFF32410620230000022023-01-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 ***-* 가산테라타워서울특별시 금천구 디지털로**길 **, 가산테라타워 ***호 (가산동)08517더블유케이미디어웍스2023-03-07 08:59:46U2022-12-03 00:09:00.0<NA>190185.054136441381.452927<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83230000CDFF32410620190000112019-07-10<NA>3폐업3폐업2023-12-05<NA><NA><NA><NA><NA><NA>서울특별시 송파구 가락동 **-**서울특별시 송파구 송파대로**길 *, 지층 (가락동)05711키스2023-12-05 17:42:16U2022-11-02 00:07:00.0<NA>210357.477009443579.484128<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93160000CDFF32410620200000032020-08-19<NA>1영업/정상13영업중<NA><NA><NA><NA>02-830-1592<NA><NA>서울특별시 구로구 구로동 ***-** *동 *호서울특별시 구로구 구로중앙로**길 **-**, *층 *호 (구로동)08294마노스 사회적협동조합2023-02-07 09:24:03U2022-12-02 00:09:00.0<NA>190028.098384444300.263563<NA><NA><NA><NA><NA><NA><NA><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
25333130000CDFF324106200200000620021206<NA>3폐업3폐업20221214<NA><NA><NA><NA><NA><NA>서울특별시 마포구 마포동 35-1서울특별시 마포구 마포대로 15, 803호 (마포동, 현대빌딩)04165(주)동방네트워크2022-12-14 10:52:51U2021-11-01 23:06:00.0<NA>194978.350113448487.374314<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
25343150000CDFF324106202100000920210820<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 771-3 보타닉파크타워3 901호서울특별시 강서구 마곡중앙6로 11, 보타닉파크타워3 901호 (마곡동)07801PIG 엔터테인먼트2022-12-22 11:14:58U2021-11-01 22:04:00.0<NA>184805.681473450977.857003<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
25353020000CDFF324106202200000820221223<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2223-6100<NA><NA>서울특별시 용산구 한강로3가 65-9 HYBE서울특별시 용산구 한강대로 42, HYBE 14층 (한강로3가)04389(주)빌리프랩2022-12-23 15:38:50I2021-11-01 22:05:00.0<NA>196768.132357446931.975248<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
25363220000CDFF324106201600000120160108<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3443-6488<NA><NA>서울특별시 강남구 논현동 9-10서울특별시 강남구 논현로145길 18 (논현동)06040(주)동요엔터테인먼트2022-12-28 10:49:00U2021-11-01 21:00:00.0<NA>202344.295805446164.989449<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
25373000000CDFF32410620220000052022-12-07<NA>3폐업3폐업2023-11-02<NA><NA><NA><NA><NA><NA>서울특별시 종로구 종로*가 **-* 삼양빌딩서울특별시 종로구 종로 **-*, 삼양빌딩 ***호 (종로*가)03190레아스타2023-11-03 09:45:04U2022-11-01 00:05:00.0<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>
25383220000CDFF32410620220000542022-09-30<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 역삼동 ***-** 송암II빌딩서울특별시 강남구 논현로 ***, 송암II빌딩 *층 (역삼동)06132주식회사 이큐티와이2023-12-05 11:24:46U2022-11-02 00:07:00.0<NA>203121.0292444413.274683<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
25393010000CDFF32410620220000042022-10-05<NA>3폐업3폐업2023-12-26<NA><NA><NA><NA><NA><NA>서울특별시 중구 신당동 **-**서울특별시 중구 다산로**길 **, 지하*층 (신당동)04585불러 뮤비방2023-12-26 10:04:08U2022-11-01 22:08:00.0<NA>201597.335894451219.326465<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
25403130000CDFF32410620220000352022-07-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 합정동 ***-*서울특별시 마포구 독막로*길 **-*, *층 (합정동)04073주식회사 매니지먼트일2024-03-18 11:15:48U2023-12-02 22:00:00.0<NA>192713.123047449409.349931<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
25413040000CDFF324106202100000920211223<NA>3폐업3폐업20221229<NA><NA><NA><NA><NA><NA>서울특별시 광진구 중곡동 191-72 위드32서울특별시 광진구 동일로74길 32, 302호 (중곡동, 위드32)04907아라라.위엔이(Arara圓一)2022-12-29 19:57:35U2021-11-01 21:01:00.0<NA>206985.578512451592.34828<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
25423070000CDFF32410620220000042022-12-29<NA>5제외/삭제/전출15전출2023-04-13<NA><NA><NA><NA><NA><NA>서울특별시 성북구 길음동 ****-* 서울성북 미디어문화마루서울특별시 성북구 길음로*길 **, 서울성북 미디어문화마루 *동 지*층 *호 (길음동)02721러프페이지2023-04-13 13:22:02U2022-12-03 23:05:00.0<NA>201886.666806455714.252149<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>