Overview

Dataset statistics

Number of variables56
Number of observations10000
Missing cells272473
Missing cells (%)48.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.7 MiB
Average record size in memory491.0 B

Variable types

Numeric11
Text6
DateTime5
Categorical14
Unsupported20

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-16019/S/1/datasetView.do

Alerts

상세영업상태코드 is highly imbalanced (60.2%)Imbalance
상세영업상태명 is highly imbalanced (60.2%)Imbalance
데이터갱신구분 is highly imbalanced (80.5%)Imbalance
문화체육업종명 is highly imbalanced (62.0%)Imbalance
문화사업자구분명 is highly imbalanced (84.6%)Imbalance
건물용도명 is highly imbalanced (71.2%)Imbalance
통로너비 is highly imbalanced (51.4%)Imbalance
노래방실수 is highly imbalanced (51.4%)Imbalance
청소년실수 is highly imbalanced (51.4%)Imbalance
제공게임물명 is highly imbalanced (67.3%)Imbalance
지역구분명 is highly imbalanced (63.0%)Imbalance
인허가취소일자 has 9443 (94.4%) missing valuesMissing
폐업일자 has 1056 (10.6%) missing valuesMissing
휴업시작일자 has 10000 (100.0%) missing valuesMissing
휴업종료일자 has 10000 (100.0%) missing valuesMissing
재개업일자 has 10000 (100.0%) missing valuesMissing
전화번호 has 6154 (61.5%) missing valuesMissing
소재지면적 has 10000 (100.0%) missing valuesMissing
소재지우편번호 has 1629 (16.3%) missing valuesMissing
도로명주소 has 1070 (10.7%) missing valuesMissing
도로명우편번호 has 8868 (88.7%) missing valuesMissing
업태구분명 has 10000 (100.0%) missing valuesMissing
좌표정보(X) has 604 (6.0%) missing valuesMissing
좌표정보(Y) has 604 (6.0%) missing valuesMissing
총층수 has 4967 (49.7%) missing valuesMissing
제작취급품목내용 has 9206 (92.1%) missing valuesMissing
시설면적 has 2366 (23.7%) missing valuesMissing
지상층수 has 4791 (47.9%) missing valuesMissing
지하층수 has 5380 (53.8%) missing valuesMissing
조명시설조도 has 8399 (84.0%) missing valuesMissing
비상계단여부 has 10000 (100.0%) missing valuesMissing
비상구여부 has 10000 (100.0%) missing valuesMissing
자동환기여부 has 10000 (100.0%) missing valuesMissing
청소년실여부 has 10000 (100.0%) missing valuesMissing
특수조명여부 has 10000 (100.0%) missing valuesMissing
방음시설여부 has 10000 (100.0%) missing valuesMissing
비디오재생기명 has 10000 (100.0%) missing valuesMissing
조명시설유무 has 10000 (100.0%) missing valuesMissing
음향시설여부 has 10000 (100.0%) missing valuesMissing
편의시설여부 has 10000 (100.0%) missing valuesMissing
소방시설여부 has 10000 (100.0%) missing valuesMissing
총게임기수 has 7930 (79.3%) missing valuesMissing
기존게임업외업종명 has 10000 (100.0%) missing valuesMissing
공연장형태구분명 has 10000 (100.0%) missing valuesMissing
품목명 has 10000 (100.0%) missing valuesMissing
최초등록시점 has 10000 (100.0%) missing valuesMissing
시설면적 is highly skewed (γ1 = 76.70188884)Skewed
지상층수 is highly skewed (γ1 = 38.34476318)Skewed
지하층수 is highly skewed (γ1 = 52.56145341)Skewed
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
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 2166 (21.7%) zerosZeros
시설면적 has 3243 (32.4%) zerosZeros
지상층수 has 2083 (20.8%) zerosZeros
지하층수 has 2346 (23.5%) zerosZeros
조명시설조도 has 949 (9.5%) zerosZeros
총게임기수 has 693 (6.9%) zerosZeros

Reproduction

Analysis started2024-04-29 18:49:07.570685
Analysis finished2024-04-29 18:49:09.622035
Duration2.05 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Real number (ℝ)

Distinct25
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3128709
Minimum3000000
Maximum3240000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T03:49:09.685148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3009500
Q13060000
median3140000
Q33200000
95-th percentile3230000
Maximum3240000
Range240000
Interquartile range (IQR)140000

Descriptive statistics

Standard deviation74376.451
Coefficient of variation (CV)0.02377225
Kurtosis-1.3032974
Mean3128709
Median Absolute Deviation (MAD)60000
Skewness-0.18544557
Sum3.128709 × 1010
Variance5.5318565 × 109
MonotonicityNot monotonic
2024-04-30T03:49:09.788981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
3200000 1128
 
11.3%
3180000 728
 
7.3%
3050000 560
 
5.6%
3000000 500
 
5.0%
3240000 499
 
5.0%
3110000 474
 
4.7%
3080000 428
 
4.3%
3040000 409
 
4.1%
3220000 402
 
4.0%
3090000 390
 
3.9%
Other values (15) 4482
44.8%
ValueCountFrequency (%)
3000000 500
5.0%
3010000 332
3.3%
3020000 138
 
1.4%
3030000 372
3.7%
3040000 409
4.1%
3050000 560
5.6%
3060000 358
3.6%
3070000 241
2.4%
3080000 428
4.3%
3090000 390
3.9%
ValueCountFrequency (%)
3240000 499
5.0%
3230000 370
 
3.7%
3220000 402
 
4.0%
3210000 371
 
3.7%
3200000 1128
11.3%
3190000 362
 
3.6%
3180000 728
7.3%
3170000 280
 
2.8%
3160000 349
 
3.5%
3150000 332
 
3.3%
Distinct1659
Distinct (%)16.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T03:49:09.957414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters200000
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

Unique682 ?
Unique (%)6.8%

Sample

1st rowCDFF2241012001000185
2nd rowCDFF2241012001000106
3rd rowCDFF2241012002000019
4th rowCDFF2241012002000002
5th rowCDFF2241012003000004
ValueCountFrequency (%)
cdff2241012006000004 25
 
0.2%
cdff2241012006000011 25
 
0.2%
cdff2241012006000002 25
 
0.2%
cdff2241012006000008 25
 
0.2%
cdff2241012006000006 25
 
0.2%
cdff2241012006000010 25
 
0.2%
cdff2241012006000012 25
 
0.2%
cdff2241012002000005 25
 
0.2%
cdff2241012006000003 25
 
0.2%
cdff2241012002000004 25
 
0.2%
Other values (1649) 9750
97.5%
2024-04-30T03:49:10.231395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 67935
34.0%
2 31355
15.7%
1 29249
14.6%
F 20000
 
10.0%
4 12612
 
6.3%
C 10000
 
5.0%
D 10000
 
5.0%
9 6369
 
3.2%
3 3854
 
1.9%
5 2661
 
1.3%
Other values (3) 5965
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 160000
80.0%
Uppercase Letter 40000
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 67935
42.5%
2 31355
19.6%
1 29249
18.3%
4 12612
 
7.9%
9 6369
 
4.0%
3 3854
 
2.4%
5 2661
 
1.7%
6 2248
 
1.4%
8 2161
 
1.4%
7 1556
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
F 20000
50.0%
C 10000
25.0%
D 10000
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 160000
80.0%
Latin 40000
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 67935
42.5%
2 31355
19.6%
1 29249
18.3%
4 12612
 
7.9%
9 6369
 
4.0%
3 3854
 
2.4%
5 2661
 
1.7%
6 2248
 
1.4%
8 2161
 
1.4%
7 1556
 
1.0%
Latin
ValueCountFrequency (%)
F 20000
50.0%
C 10000
25.0%
D 10000
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 200000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 67935
34.0%
2 31355
15.7%
1 29249
14.6%
F 20000
 
10.0%
4 12612
 
6.3%
C 10000
 
5.0%
D 10000
 
5.0%
9 6369
 
3.2%
3 3854
 
1.9%
5 2661
 
1.3%
Other values (3) 5965
 
3.0%
Distinct4154
Distinct (%)41.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum1948-07-31 00:00:00
Maximum2024-04-23 00:00:00
2024-04-30T03:49:10.349655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:49:10.458091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Date

MISSING 

Distinct250
Distinct (%)44.9%
Missing9443
Missing (%)94.4%
Memory size156.2 KiB
Minimum1999-10-11 00:00:00
Maximum2024-02-26 00:00:00
2024-04-30T03:49:10.568424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:49:10.688140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3
7685 
4
1974 
1
 
341

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row4
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 7685
76.8%
4 1974
 
19.7%
1 341
 
3.4%

Length

2024-04-30T03:49:10.958373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:49:11.034326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 7685
76.8%
4 1974
 
19.7%
1 341
 
3.4%

영업상태명
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
7685 
취소/말소/만료/정지/중지
1974 
영업/정상
 
341

Length

Max length14
Median length2
Mean length4.4711
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐업
2nd row취소/말소/만료/정지/중지
3rd row폐업
4th row폐업
5th row폐업

Common Values

ValueCountFrequency (%)
폐업 7685
76.8%
취소/말소/만료/정지/중지 1974
 
19.7%
영업/정상 341
 
3.4%

Length

2024-04-30T03:49:11.115526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:49:11.193790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 7685
76.8%
취소/말소/만료/정지/중지 1974
 
19.7%
영업/정상 341
 
3.4%

상세영업상태코드
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
03
7680 
35
1314 
30
 
331
31
 
327
13
 
297
Other values (3)
 
51

Length

Max length4
Median length2
Mean length2.0088
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03
2nd row35
3rd row03
4th row03
5th row03

Common Values

ValueCountFrequency (%)
03 7680
76.8%
35 1314
 
13.1%
30 331
 
3.3%
31 327
 
3.3%
13 297
 
3.0%
BBBB 44
 
0.4%
34 5
 
0.1%
25 2
 
< 0.1%

Length

2024-04-30T03:49:11.287371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:49:11.393898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03 7680
76.8%
35 1314
 
13.1%
30 331
 
3.3%
31 327
 
3.3%
13 297
 
3.0%
bbbb 44
 
0.4%
34 5
 
< 0.1%
25 2
 
< 0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
7680 
직권말소
1314 
허가취소
 
331
등록취소
 
327
영업중
 
297
Other values (3)
 
51

Length

Max length5
Median length2
Mean length2.4348
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 7680
76.8%
직권말소 1314
 
13.1%
허가취소 331
 
3.3%
등록취소 327
 
3.3%
영업중 297
 
3.0%
<NA> 44
 
0.4%
영업장폐쇄 5
 
0.1%
영업정지 2
 
< 0.1%

Length

2024-04-30T03:49:11.506542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:49:11.602112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 7680
76.8%
직권말소 1314
 
13.1%
허가취소 331
 
3.3%
등록취소 327
 
3.3%
영업중 297
 
3.0%
na 44
 
0.4%
영업장폐쇄 5
 
< 0.1%
영업정지 2
 
< 0.1%

폐업일자
Date

MISSING 

Distinct3101
Distinct (%)34.7%
Missing1056
Missing (%)10.6%
Memory size156.2 KiB
Minimum1988-12-20 00:00:00
Maximum2024-04-18 00:00:00
2024-04-30T03:49:11.727438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:49:11.850359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

전화번호
Text

MISSING 

Distinct3633
Distinct (%)94.5%
Missing6154
Missing (%)61.5%
Memory size156.2 KiB
2024-04-30T03:49:12.091413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length8.4227769
Min length1

Characters and Unicode

Total characters32394
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

Unique3519 ?
Unique (%)91.5%

Sample

1st row(02)797-2717
2nd row582-6756
3rd row2248-5966
4th row883-9346
5th row2254-1820
ValueCountFrequency (%)
0 36
 
0.9%
0000-0000 29
 
0.8%
0-0000 27
 
0.7%
1111-1111 7
 
0.2%
2634-6526 4
 
0.1%
863-9851 3
 
0.1%
000-0000 3
 
0.1%
863-7434 3
 
0.1%
817-2371 3
 
0.1%
741-0599 3
 
0.1%
Other values (3623) 3728
96.9%
2024-04-30T03:49:12.443332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 4146
12.8%
2 3381
10.4%
4 2990
9.2%
3 2963
9.1%
6 2907
9.0%
0 2896
8.9%
8 2811
8.7%
5 2737
8.4%
9 2694
8.3%
7 2524
7.8%
Other values (6) 2345
7.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 28206
87.1%
Dash Punctuation 4146
 
12.8%
Close Punctuation 21
 
0.1%
Other Punctuation 12
 
< 0.1%
Open Punctuation 7
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 3381
12.0%
4 2990
10.6%
3 2963
10.5%
6 2907
10.3%
0 2896
10.3%
8 2811
10.0%
5 2737
9.7%
9 2694
9.6%
7 2524
8.9%
1 2303
8.2%
Other Punctuation
ValueCountFrequency (%)
. 11
91.7%
' 1
 
8.3%
Dash Punctuation
ValueCountFrequency (%)
- 4146
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32394
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 4146
12.8%
2 3381
10.4%
4 2990
9.2%
3 2963
9.1%
6 2907
9.0%
0 2896
8.9%
8 2811
8.7%
5 2737
8.4%
9 2694
8.3%
7 2524
7.8%
Other values (6) 2345
7.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32394
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 4146
12.8%
2 3381
10.4%
4 2990
9.2%
3 2963
9.1%
6 2907
9.0%
0 2896
8.9%
8 2811
8.7%
5 2737
8.4%
9 2694
8.3%
7 2524
7.8%
Other values (6) 2345
7.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct1544
Distinct (%)18.4%
Missing1629
Missing (%)16.3%
Infinite0
Infinite (%)0.0%
Mean138730.09
Minimum100011
Maximum158864
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T03:49:12.560552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100011
5-th percentile110123
Q1131878
median137953
Q3151836
95-th percentile157842
Maximum158864
Range58853
Interquartile range (IQR)19958

Descriptive statistics

Standard deviation14201.654
Coefficient of variation (CV)0.10236895
Kurtosis0.26385775
Mean138730.09
Median Absolute Deviation (MAD)12080
Skewness-0.78246426
Sum1.1613096 × 109
Variance2.0168698 × 108
MonotonicityNot monotonic
2024-04-30T03:49:12.680108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
150033 113
 
1.1%
151895 91
 
0.9%
134822 74
 
0.7%
110123 65
 
0.7%
151892 61
 
0.6%
151930 54
 
0.5%
151015 47
 
0.5%
156816 46
 
0.5%
139816 38
 
0.4%
139821 38
 
0.4%
Other values (1534) 7744
77.4%
(Missing) 1629
 
16.3%
ValueCountFrequency (%)
100011 10
0.1%
100013 13
0.1%
100015 2
 
< 0.1%
100021 8
0.1%
100031 1
 
< 0.1%
100032 3
 
< 0.1%
100042 3
 
< 0.1%
100080 9
0.1%
100093 3
 
< 0.1%
100094 2
 
< 0.1%
ValueCountFrequency (%)
158864 14
0.1%
158863 2
 
< 0.1%
158862 4
 
< 0.1%
158861 7
0.1%
158860 8
0.1%
158859 10
0.1%
158858 2
 
< 0.1%
158857 11
0.1%
158856 7
0.1%
158855 1
 
< 0.1%
Distinct8828
Distinct (%)88.3%
Missing6
Missing (%)0.1%
Memory size156.2 KiB
2024-04-30T03:49:12.989346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length53
Mean length24.812588
Min length6

Characters and Unicode

Total characters247977
Distinct characters388
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7953 ?
Unique (%)79.6%

Sample

1st row서울특별시 관악구 신림동 527-1번지
2nd row서울특별시 송파구 문정동 64-3번지 8통2반 403호
3rd row서울특별시 노원구 월계동 410-7번지 1층
4th row서울특별시 용산구 남영동 27-2번지 외 3필지
5th row서울특별시 도봉구 쌍문동 630번지
ValueCountFrequency (%)
서울특별시 9989
 
22.1%
관악구 1127
 
2.5%
1층 963
 
2.1%
신림동 790
 
1.7%
영등포구 727
 
1.6%
동대문구 560
 
1.2%
2층 544
 
1.2%
강동구 499
 
1.1%
종로구 499
 
1.1%
지하1층 484
 
1.1%
Other values (8432) 29005
64.2%
2024-04-30T03:49:13.481156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
44503
17.9%
11855
 
4.8%
1 11825
 
4.8%
11063
 
4.5%
11024
 
4.4%
10574
 
4.3%
10135
 
4.1%
10003
 
4.0%
9990
 
4.0%
9989
 
4.0%
Other values (378) 107016
43.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 141970
57.3%
Decimal Number 50567
 
20.4%
Space Separator 44503
 
17.9%
Dash Punctuation 9243
 
3.7%
Open Punctuation 571
 
0.2%
Close Punctuation 570
 
0.2%
Other Punctuation 360
 
0.1%
Uppercase Letter 158
 
0.1%
Math Symbol 26
 
< 0.1%
Lowercase Letter 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
11855
 
8.4%
11063
 
7.8%
11024
 
7.8%
10574
 
7.4%
10135
 
7.1%
10003
 
7.0%
9990
 
7.0%
9989
 
7.0%
9616
 
6.8%
3051
 
2.1%
Other values (329) 44670
31.5%
Uppercase Letter
ValueCountFrequency (%)
B 62
39.2%
A 20
 
12.7%
D 15
 
9.5%
S 12
 
7.6%
C 9
 
5.7%
K 7
 
4.4%
I 6
 
3.8%
F 4
 
2.5%
G 4
 
2.5%
T 3
 
1.9%
Other values (11) 16
 
10.1%
Decimal Number
ValueCountFrequency (%)
1 11825
23.4%
2 6946
13.7%
3 5680
11.2%
4 4645
 
9.2%
5 4264
 
8.4%
0 4077
 
8.1%
6 4010
 
7.9%
7 3099
 
6.1%
9 3079
 
6.1%
8 2942
 
5.8%
Other Punctuation
ValueCountFrequency (%)
, 316
87.8%
. 26
 
7.2%
/ 13
 
3.6%
@ 2
 
0.6%
& 2
 
0.6%
? 1
 
0.3%
Lowercase Letter
ValueCountFrequency (%)
b 5
55.6%
d 1
 
11.1%
m 1
 
11.1%
c 1
 
11.1%
v 1
 
11.1%
Close Punctuation
ValueCountFrequency (%)
) 565
99.1%
] 5
 
0.9%
Open Punctuation
ValueCountFrequency (%)
( 565
98.9%
[ 6
 
1.1%
Space Separator
ValueCountFrequency (%)
44503
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9243
100.0%
Math Symbol
ValueCountFrequency (%)
~ 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 141969
57.3%
Common 105840
42.7%
Latin 167
 
0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
11855
 
8.4%
11063
 
7.8%
11024
 
7.8%
10574
 
7.4%
10135
 
7.1%
10003
 
7.0%
9990
 
7.0%
9989
 
7.0%
9616
 
6.8%
3051
 
2.1%
Other values (328) 44669
31.5%
Latin
ValueCountFrequency (%)
B 62
37.1%
A 20
 
12.0%
D 15
 
9.0%
S 12
 
7.2%
C 9
 
5.4%
K 7
 
4.2%
I 6
 
3.6%
b 5
 
3.0%
F 4
 
2.4%
G 4
 
2.4%
Other values (16) 23
 
13.8%
Common
ValueCountFrequency (%)
44503
42.0%
1 11825
 
11.2%
- 9243
 
8.7%
2 6946
 
6.6%
3 5680
 
5.4%
4 4645
 
4.4%
5 4264
 
4.0%
0 4077
 
3.9%
6 4010
 
3.8%
7 3099
 
2.9%
Other values (13) 7548
 
7.1%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 141968
57.3%
ASCII 106007
42.7%
CJK 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
44503
42.0%
1 11825
 
11.2%
- 9243
 
8.7%
2 6946
 
6.6%
3 5680
 
5.4%
4 4645
 
4.4%
5 4264
 
4.0%
0 4077
 
3.8%
6 4010
 
3.8%
7 3099
 
2.9%
Other values (39) 7715
 
7.3%
Hangul
ValueCountFrequency (%)
11855
 
8.4%
11063
 
7.8%
11024
 
7.8%
10574
 
7.4%
10135
 
7.1%
10003
 
7.0%
9990
 
7.0%
9989
 
7.0%
9616
 
6.8%
3051
 
2.1%
Other values (327) 44668
31.5%
CJK
ValueCountFrequency (%)
1
100.0%
Compat Jamo
ValueCountFrequency (%)
1
100.0%

도로명주소
Text

MISSING 

Distinct7731
Distinct (%)86.6%
Missing1070
Missing (%)10.7%
Memory size156.2 KiB
2024-04-30T03:49:13.849206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length56
Mean length28.137962
Min length21

Characters and Unicode

Total characters251272
Distinct characters443
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6887 ?
Unique (%)77.1%

Sample

1st row서울특별시 관악구 난곡로 318 (신림동)
2nd row서울특별시 노원구 석계로 103 (월계동,1층)
3rd row서울특별시 용산구 한강대로84길 5-3 (남영동,외 3필지)
4th row서울특별시 도봉구 도봉로 585 (쌍문동)
5th row서울특별시 서초구 서초대로78길 56 (서초동,금 성210호)
ValueCountFrequency (%)
서울특별시 8930
 
19.0%
관악구 1072
 
2.3%
신림동 719
 
1.5%
영등포구 597
 
1.3%
동대문구 494
 
1.1%
은평구 440
 
0.9%
종로구 440
 
0.9%
강동구 406
 
0.9%
강북구 382
 
0.8%
강남구 381
 
0.8%
Other values (5724) 33057
70.5%
2024-04-30T03:49:14.461126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
45629
 
18.2%
11089
 
4.4%
10205
 
4.1%
9747
 
3.9%
9660
 
3.8%
( 9442
 
3.8%
) 9442
 
3.8%
9265
 
3.7%
1 9165
 
3.6%
8958
 
3.6%
Other values (433) 118670
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 144937
57.7%
Space Separator 45629
 
18.2%
Decimal Number 36010
 
14.3%
Open Punctuation 9448
 
3.8%
Close Punctuation 9447
 
3.8%
Other Punctuation 4497
 
1.8%
Dash Punctuation 1114
 
0.4%
Uppercase Letter 148
 
0.1%
Math Symbol 32
 
< 0.1%
Lowercase Letter 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
11089
 
7.7%
10205
 
7.0%
9747
 
6.7%
9660
 
6.7%
9265
 
6.4%
8958
 
6.2%
8930
 
6.2%
8930
 
6.2%
4044
 
2.8%
3254
 
2.2%
Other values (384) 60855
42.0%
Uppercase Letter
ValueCountFrequency (%)
B 57
38.5%
A 16
 
10.8%
D 14
 
9.5%
S 13
 
8.8%
I 7
 
4.7%
K 7
 
4.7%
G 4
 
2.7%
C 4
 
2.7%
T 3
 
2.0%
E 3
 
2.0%
Other values (11) 20
 
13.5%
Decimal Number
ValueCountFrequency (%)
1 9165
25.5%
2 5890
16.4%
3 3997
11.1%
4 2901
 
8.1%
5 2801
 
7.8%
6 2526
 
7.0%
0 2506
 
7.0%
7 2186
 
6.1%
9 2027
 
5.6%
8 2011
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 4455
99.1%
. 25
 
0.6%
/ 12
 
0.3%
? 2
 
< 0.1%
& 2
 
< 0.1%
@ 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
b 6
60.0%
d 1
 
10.0%
m 1
 
10.0%
c 1
 
10.0%
v 1
 
10.0%
Open Punctuation
ValueCountFrequency (%)
( 9442
99.9%
[ 6
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 9442
99.9%
] 5
 
0.1%
Space Separator
ValueCountFrequency (%)
45629
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1114
100.0%
Math Symbol
ValueCountFrequency (%)
~ 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 144936
57.7%
Common 106177
42.3%
Latin 158
 
0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
11089
 
7.7%
10205
 
7.0%
9747
 
6.7%
9660
 
6.7%
9265
 
6.4%
8958
 
6.2%
8930
 
6.2%
8930
 
6.2%
4044
 
2.8%
3254
 
2.2%
Other values (383) 60854
42.0%
Latin
ValueCountFrequency (%)
B 57
36.1%
A 16
 
10.1%
D 14
 
8.9%
S 13
 
8.2%
I 7
 
4.4%
K 7
 
4.4%
b 6
 
3.8%
G 4
 
2.5%
C 4
 
2.5%
T 3
 
1.9%
Other values (16) 27
17.1%
Common
ValueCountFrequency (%)
45629
43.0%
( 9442
 
8.9%
) 9442
 
8.9%
1 9165
 
8.6%
2 5890
 
5.5%
, 4455
 
4.2%
3 3997
 
3.8%
4 2901
 
2.7%
5 2801
 
2.6%
6 2526
 
2.4%
Other values (13) 9929
 
9.4%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 144936
57.7%
ASCII 106335
42.3%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
45629
42.9%
( 9442
 
8.9%
) 9442
 
8.9%
1 9165
 
8.6%
2 5890
 
5.5%
, 4455
 
4.2%
3 3997
 
3.8%
4 2901
 
2.7%
5 2801
 
2.6%
6 2526
 
2.4%
Other values (39) 10087
 
9.5%
Hangul
ValueCountFrequency (%)
11089
 
7.7%
10205
 
7.0%
9747
 
6.7%
9660
 
6.7%
9265
 
6.4%
8958
 
6.2%
8930
 
6.2%
8930
 
6.2%
4044
 
2.8%
3254
 
2.2%
Other values (383) 60854
42.0%
CJK
ValueCountFrequency (%)
1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct326
Distinct (%)28.8%
Missing8868
Missing (%)88.7%
Infinite0
Infinite (%)0.0%
Mean41814.088
Minimum1062
Maximum158864
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T03:49:14.623224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1062
5-th percentile1414
Q13331
median7507.5
Q3122809
95-th percentile151892.9
Maximum158864
Range157802
Interquartile range (IQR)119478

Descriptive statistics

Standard deviation60061.083
Coefficient of variation (CV)1.4363839
Kurtosis-0.81700641
Mean41814.088
Median Absolute Deviation (MAD)4367.5
Skewness1.0563604
Sum47333548
Variance3.6073336 × 109
MonotonicityNot monotonic
2024-04-30T03:49:14.746179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7302 25
 
0.2%
8761 23
 
0.2%
150033 22
 
0.2%
3330 21
 
0.2%
1414 20
 
0.2%
3119 18
 
0.2%
3397 18
 
0.2%
3140 18
 
0.2%
1220 15
 
0.1%
2573 15
 
0.1%
Other values (316) 937
 
9.4%
(Missing) 8868
88.7%
ValueCountFrequency (%)
1062 3
 
< 0.1%
1073 7
 
0.1%
1080 7
 
0.1%
1081 5
 
0.1%
1113 3
 
< 0.1%
1114 2
 
< 0.1%
1128 8
 
0.1%
1220 15
0.1%
1333 2
 
< 0.1%
1414 20
0.2%
ValueCountFrequency (%)
158864 5
0.1%
157916 2
 
< 0.1%
157910 8
0.1%
157909 1
 
< 0.1%
157908 1
 
< 0.1%
157884 1
 
< 0.1%
157880 1
 
< 0.1%
157703 1
 
< 0.1%
157019 2
 
< 0.1%
156827 1
 
< 0.1%
Distinct5923
Distinct (%)59.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T03:49:14.966100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length20
Mean length5.529
Min length1

Characters and Unicode

Total characters55290
Distinct characters766
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

Unique4632 ?
Unique (%)46.3%

Sample

1st row드림캐스트
2nd row우진
3rd row허니허니
4th row삼성게임랜드
5th row영진게임월드
ValueCountFrequency (%)
게임랜드 544
 
4.9%
게임장 175
 
1.6%
오락실 86
 
0.8%
스타게임랜드 62
 
0.6%
게임월드 59
 
0.5%
로얄게임장 49
 
0.4%
현대 49
 
0.4%
스타 48
 
0.4%
게임천국 48
 
0.4%
라스베가스 42
 
0.4%
Other values (5645) 10003
89.6%
2024-04-30T03:49:15.336594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5199
 
9.4%
5185
 
9.4%
3623
 
6.6%
2892
 
5.2%
1704
 
3.1%
1394
 
2.5%
1370
 
2.5%
1173
 
2.1%
1133
 
2.0%
1108
 
2.0%
Other values (756) 30509
55.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 51516
93.2%
Uppercase Letter 1301
 
2.4%
Space Separator 1173
 
2.1%
Decimal Number 678
 
1.2%
Close Punctuation 177
 
0.3%
Open Punctuation 176
 
0.3%
Other Punctuation 113
 
0.2%
Lowercase Letter 108
 
0.2%
Dash Punctuation 40
 
0.1%
Letter Number 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5199
 
10.1%
5185
 
10.1%
3623
 
7.0%
2892
 
5.6%
1704
 
3.3%
1394
 
2.7%
1370
 
2.7%
1133
 
2.2%
1108
 
2.2%
1002
 
1.9%
Other values (681) 26906
52.2%
Uppercase Letter
ValueCountFrequency (%)
C 235
18.1%
P 224
17.2%
E 80
 
6.1%
N 61
 
4.7%
O 61
 
4.7%
T 61
 
4.7%
A 57
 
4.4%
S 54
 
4.2%
M 53
 
4.1%
D 50
 
3.8%
Other values (16) 365
28.1%
Lowercase Letter
ValueCountFrequency (%)
e 17
15.7%
i 11
 
10.2%
p 9
 
8.3%
r 7
 
6.5%
o 7
 
6.5%
a 7
 
6.5%
l 6
 
5.6%
s 5
 
4.6%
n 5
 
4.6%
m 4
 
3.7%
Other values (13) 30
27.8%
Decimal Number
ValueCountFrequency (%)
2 234
34.5%
1 123
18.1%
0 91
 
13.4%
9 51
 
7.5%
8 42
 
6.2%
7 41
 
6.0%
3 32
 
4.7%
4 30
 
4.4%
5 24
 
3.5%
6 10
 
1.5%
Other Punctuation
ValueCountFrequency (%)
. 80
70.8%
, 9
 
8.0%
& 7
 
6.2%
' 6
 
5.3%
? 5
 
4.4%
! 2
 
1.8%
: 2
 
1.8%
@ 2
 
1.8%
Letter Number
ValueCountFrequency (%)
4
66.7%
1
 
16.7%
1
 
16.7%
Space Separator
ValueCountFrequency (%)
1173
100.0%
Close Punctuation
ValueCountFrequency (%)
) 177
100.0%
Open Punctuation
ValueCountFrequency (%)
( 176
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 51516
93.2%
Common 2359
 
4.3%
Latin 1415
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5199
 
10.1%
5185
 
10.1%
3623
 
7.0%
2892
 
5.6%
1704
 
3.3%
1394
 
2.7%
1370
 
2.7%
1133
 
2.2%
1108
 
2.2%
1002
 
1.9%
Other values (681) 26906
52.2%
Latin
ValueCountFrequency (%)
C 235
16.6%
P 224
15.8%
E 80
 
5.7%
N 61
 
4.3%
O 61
 
4.3%
T 61
 
4.3%
A 57
 
4.0%
S 54
 
3.8%
M 53
 
3.7%
D 50
 
3.5%
Other values (42) 479
33.9%
Common
ValueCountFrequency (%)
1173
49.7%
2 234
 
9.9%
) 177
 
7.5%
( 176
 
7.5%
1 123
 
5.2%
0 91
 
3.9%
. 80
 
3.4%
9 51
 
2.2%
8 42
 
1.8%
7 41
 
1.7%
Other values (13) 171
 
7.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 51515
93.2%
ASCII 3768
 
6.8%
Number Forms 6
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
5199
 
10.1%
5185
 
10.1%
3623
 
7.0%
2892
 
5.6%
1704
 
3.3%
1394
 
2.7%
1370
 
2.7%
1133
 
2.2%
1108
 
2.2%
1002
 
1.9%
Other values (680) 26905
52.2%
ASCII
ValueCountFrequency (%)
1173
31.1%
C 235
 
6.2%
2 234
 
6.2%
P 224
 
5.9%
) 177
 
4.7%
( 176
 
4.7%
1 123
 
3.3%
0 91
 
2.4%
. 80
 
2.1%
E 80
 
2.1%
Other values (62) 1175
31.2%
Number Forms
ValueCountFrequency (%)
4
66.7%
1
 
16.7%
1
 
16.7%
Compat Jamo
ValueCountFrequency (%)
1
100.0%
Distinct6918
Distinct (%)69.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2002-10-22 17:41:01
Maximum2024-04-23 21:23:57
2024-04-30T03:49:15.459630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:49:15.591895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
I
9448 
U
 
551
D
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
I 9448
94.5%
U 551
 
5.5%
D 1
 
< 0.1%

Length

2024-04-30T03:49:15.722292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:49:15.804545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 9448
94.5%
u 551
 
5.5%
d 1
 
< 0.1%
Distinct440
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:04:00
2024-04-30T03:49:15.905479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:49:16.023087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct6754
Distinct (%)71.9%
Missing604
Missing (%)6.0%
Infinite0
Infinite (%)0.0%
Mean199122.37
Minimum182735.79
Maximum215200.34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T03:49:16.146396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum182735.79
5-th percentile186986.38
Q1192845.04
median200443.12
Q3204784.29
95-th percentile210919.45
Maximum215200.34
Range32464.551
Interquartile range (IQR)11939.241

Descriptive statistics

Standard deviation7114.0787
Coefficient of variation (CV)0.035727169
Kurtosis-0.98686592
Mean199122.37
Median Absolute Deviation (MAD)6102.6628
Skewness-0.084247568
Sum1.8709538 × 109
Variance50610116
MonotonicityNot monotonic
2024-04-30T03:49:16.458561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
198963.479329414 23
 
0.2%
186029.723926037 20
 
0.2%
191616.285409253 18
 
0.2%
193826.37983336 17
 
0.2%
192845.044379709 14
 
0.1%
208589.363343145 14
 
0.1%
199032.088208942 13
 
0.1%
190882.328666874 12
 
0.1%
190741.823964705 11
 
0.1%
194917.348924087 11
 
0.1%
Other values (6744) 9243
92.4%
(Missing) 604
 
6.0%
ValueCountFrequency (%)
182735.786874703 2
< 0.1%
182907.177618552 1
 
< 0.1%
182914.598086861 3
< 0.1%
182914.770762913 3
< 0.1%
182915.512696033 1
 
< 0.1%
182940.995178251 2
< 0.1%
183147.50519545 1
 
< 0.1%
183152.303016763 1
 
< 0.1%
183185.275084102 1
 
< 0.1%
183185.596834753 1
 
< 0.1%
ValueCountFrequency (%)
215200.337895581 1
< 0.1%
215149.288222193 1
< 0.1%
215143.664348974 1
< 0.1%
214985.580171977 1
< 0.1%
214980.063657194 1
< 0.1%
214960.78383245 1
< 0.1%
214889.823748404 1
< 0.1%
214859.432267306 1
< 0.1%
214858.430430309 1
< 0.1%
214856.492433065 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct6754
Distinct (%)71.9%
Missing604
Missing (%)6.0%
Infinite0
Infinite (%)0.0%
Mean449407.63
Minimum436909.87
Maximum464949
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T03:49:16.596144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum436909.87
5-th percentile441279.86
Q1444090.46
median448741.63
Q3453314.41
95-th percentile461119.96
Maximum464949
Range28039.129
Interquartile range (IQR)9223.9466

Descriptive statistics

Standard deviation6086.2742
Coefficient of variation (CV)0.013542881
Kurtosis-0.69257174
Mean449407.63
Median Absolute Deviation (MAD)4599.6902
Skewness0.43400917
Sum4.2226341 × 109
Variance37042733
MonotonicityNot monotonic
2024-04-30T03:49:16.713311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
452103.707437261 23
 
0.2%
447381.645907113 20
 
0.2%
446238.776340506 18
 
0.2%
456291.782984711 17
 
0.2%
457412.609904875 14
 
0.1%
445455.90405262 14
 
0.1%
452054.495606172 13
 
0.1%
440895.715379593 12
 
0.1%
453328.114670148 11
 
0.1%
454104.088948705 11
 
0.1%
Other values (6744) 9243
92.4%
(Missing) 604
 
6.0%
ValueCountFrequency (%)
436909.870493711 1
 
< 0.1%
436911.774494656 1
 
< 0.1%
437749.431223746 1
 
< 0.1%
437773.047519431 1
 
< 0.1%
437777.824339474 1
 
< 0.1%
437837.013452791 1
 
< 0.1%
437850.294985717 1
 
< 0.1%
437914.06299827 3
< 0.1%
438587.085168972 1
 
< 0.1%
438647.00566546 1
 
< 0.1%
ValueCountFrequency (%)
464948.999026035 1
 
< 0.1%
464947.538929422 1
 
< 0.1%
464667.465658621 2
< 0.1%
464644.874400068 3
< 0.1%
464642.898266239 2
< 0.1%
464633.761055876 2
< 0.1%
464632.362897673 1
 
< 0.1%
464619.316546324 1
 
< 0.1%
464615.308674285 2
< 0.1%
464559.878016906 1
 
< 0.1%

문화체육업종명
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
게임제공업
8833 
일반게임제공업
944 
<NA>
 
223

Length

Max length7
Median length5
Mean length5.1665
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
게임제공업 8833
88.3%
일반게임제공업 944
 
9.4%
<NA> 223
 
2.2%

Length

2024-04-30T03:49:16.841957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:49:16.924373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
게임제공업 8833
88.3%
일반게임제공업 944
 
9.4%
na 223
 
2.2%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
유통관련업
9777 
<NA>
 
223

Length

Max length5
Median length5
Mean length4.9777
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 9777
97.8%
<NA> 223
 
2.2%

Length

2024-04-30T03:49:17.026797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:49:17.104901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 9777
97.8%
na 223
 
2.2%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct33
Distinct (%)0.7%
Missing4967
Missing (%)49.7%
Infinite0
Infinite (%)0.0%
Mean2.8627061
Minimum0
Maximum45
Zeros2166
Zeros (%)21.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T03:49:17.200331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q35
95-th percentile8
Maximum45
Range45
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.6406044
Coefficient of variation (CV)1.2717353
Kurtosis13.649842
Mean2.8627061
Median Absolute Deviation (MAD)2
Skewness2.6512171
Sum14408
Variance13.254
MonotonicityNot monotonic
2024-04-30T03:49:17.300308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0 2166
21.7%
4 724
 
7.2%
5 558
 
5.6%
3 482
 
4.8%
2 272
 
2.7%
6 247
 
2.5%
7 149
 
1.5%
1 106
 
1.1%
8 84
 
0.8%
10 43
 
0.4%
Other values (23) 202
 
2.0%
(Missing) 4967
49.7%
ValueCountFrequency (%)
0 2166
21.7%
1 106
 
1.1%
2 272
 
2.7%
3 482
 
4.8%
4 724
 
7.2%
5 558
 
5.6%
6 247
 
2.5%
7 149
 
1.5%
8 84
 
0.8%
9 40
 
0.4%
ValueCountFrequency (%)
45 1
 
< 0.1%
35 1
 
< 0.1%
33 1
 
< 0.1%
32 1
 
< 0.1%
30 3
< 0.1%
29 1
 
< 0.1%
26 1
 
< 0.1%
25 3
< 0.1%
24 3
< 0.1%
23 3
< 0.1%

주변환경명
Categorical

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
6396 
기타
1818 
주택가주변
1015 
유흥업소밀집지역
 
592
학교정화(상대)
 
64
Other values (3)
 
115

Length

Max length8
Median length4
Mean length4.029
Min length2

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> 6396
64.0%
기타 1818
 
18.2%
주택가주변 1015
 
10.2%
유흥업소밀집지역 592
 
5.9%
학교정화(상대) 64
 
0.6%
아파트지역 53
 
0.5%
학교정화(절대) 48
 
0.5%
결혼예식장주변 14
 
0.1%

Length

2024-04-30T03:49:17.410251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:49:17.501329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6396
64.0%
기타 1818
 
18.2%
주택가주변 1015
 
10.2%
유흥업소밀집지역 592
 
5.9%
학교정화(상대 64
 
0.6%
아파트지역 53
 
0.5%
학교정화(절대 48
 
0.5%
결혼예식장주변 14
 
0.1%
Distinct665
Distinct (%)83.8%
Missing9206
Missing (%)92.1%
Memory size156.2 KiB
2024-04-30T03:49:17.733311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length143
Median length74
Mean length20.133501
Min length2

Characters and Unicode

Total characters15986
Distinct characters426
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

Unique619 ?
Unique (%)78.0%

Sample

1st row골드러쉬 포커
2nd row불타는 불새, 화신성, 황금포커성, ak포커,뉴오광
3rd row드래곤 에어
4th row자뻑플러스포카 100대, 라이온킹 100대
5th row황금포커성
ValueCountFrequency (%)
황금포커성 96
 
4.1%
30대 66
 
2.8%
불타는불새 55
 
2.3%
20대 44
 
1.9%
흑룡성 41
 
1.7%
40대 39
 
1.7%
50대 37
 
1.6%
불타는 36
 
1.5%
불새 33
 
1.4%
화신성 31
 
1.3%
Other values (1059) 1867
79.6%
2024-04-30T03:49:18.113527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1578
 
9.9%
, 936
 
5.9%
0 927
 
5.8%
675
 
4.2%
) 586
 
3.7%
( 586
 
3.7%
2 448
 
2.8%
444
 
2.8%
374
 
2.3%
369
 
2.3%
Other values (416) 9063
56.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8604
53.8%
Decimal Number 2678
 
16.8%
Space Separator 1578
 
9.9%
Other Punctuation 1004
 
6.3%
Close Punctuation 586
 
3.7%
Open Punctuation 586
 
3.7%
Uppercase Letter 512
 
3.2%
Lowercase Letter 368
 
2.3%
Dash Punctuation 65
 
0.4%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
675
 
7.8%
444
 
5.2%
374
 
4.3%
369
 
4.3%
316
 
3.7%
243
 
2.8%
239
 
2.8%
238
 
2.8%
207
 
2.4%
203
 
2.4%
Other values (346) 5296
61.6%
Lowercase Letter
ValueCountFrequency (%)
e 63
17.1%
r 54
14.7%
a 32
 
8.7%
o 31
 
8.4%
n 23
 
6.2%
t 21
 
5.7%
s 20
 
5.4%
d 14
 
3.8%
k 14
 
3.8%
v 13
 
3.5%
Other values (14) 83
22.6%
Uppercase Letter
ValueCountFrequency (%)
A 60
11.7%
C 55
10.7%
N 45
8.8%
K 45
8.8%
O 42
8.2%
E 42
8.2%
P 39
 
7.6%
R 36
 
7.0%
S 25
 
4.9%
D 19
 
3.7%
Other values (14) 104
20.3%
Decimal Number
ValueCountFrequency (%)
0 927
34.6%
2 448
16.7%
3 335
 
12.5%
1 294
 
11.0%
5 227
 
8.5%
4 192
 
7.2%
7 78
 
2.9%
6 69
 
2.6%
8 64
 
2.4%
9 44
 
1.6%
Other Punctuation
ValueCountFrequency (%)
, 936
93.2%
. 34
 
3.4%
: 16
 
1.6%
/ 15
 
1.5%
! 2
 
0.2%
1
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 4
80.0%
+ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
1578
100.0%
Close Punctuation
ValueCountFrequency (%)
) 586
100.0%
Open Punctuation
ValueCountFrequency (%)
( 586
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 65
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8581
53.7%
Common 6502
40.7%
Latin 880
 
5.5%
Han 23
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
675
 
7.9%
444
 
5.2%
374
 
4.4%
369
 
4.3%
316
 
3.7%
243
 
2.8%
239
 
2.8%
238
 
2.8%
207
 
2.4%
203
 
2.4%
Other values (333) 5273
61.4%
Latin
ValueCountFrequency (%)
e 63
 
7.2%
A 60
 
6.8%
C 55
 
6.2%
r 54
 
6.1%
N 45
 
5.1%
K 45
 
5.1%
O 42
 
4.8%
E 42
 
4.8%
P 39
 
4.4%
R 36
 
4.1%
Other values (38) 399
45.3%
Common
ValueCountFrequency (%)
1578
24.3%
, 936
14.4%
0 927
14.3%
) 586
 
9.0%
( 586
 
9.0%
2 448
 
6.9%
3 335
 
5.2%
1 294
 
4.5%
5 227
 
3.5%
4 192
 
3.0%
Other values (12) 393
 
6.0%
Han
ValueCountFrequency (%)
4
17.4%
4
17.4%
3
13.0%
2
8.7%
2
8.7%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
Other values (3) 3
13.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8581
53.7%
ASCII 7381
46.2%
CJK 20
 
0.1%
CJK Compat Ideographs 3
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1578
21.4%
, 936
12.7%
0 927
12.6%
) 586
 
7.9%
( 586
 
7.9%
2 448
 
6.1%
3 335
 
4.5%
1 294
 
4.0%
5 227
 
3.1%
4 192
 
2.6%
Other values (59) 1272
17.2%
Hangul
ValueCountFrequency (%)
675
 
7.9%
444
 
5.2%
374
 
4.4%
369
 
4.3%
316
 
3.7%
243
 
2.8%
239
 
2.8%
238
 
2.8%
207
 
2.4%
203
 
2.4%
Other values (333) 5273
61.4%
CJK
ValueCountFrequency (%)
4
20.0%
4
20.0%
2
10.0%
2
10.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
Other values (2) 2
10.0%
CJK Compat Ideographs
ValueCountFrequency (%)
3
100.0%
None
ValueCountFrequency (%)
1
100.0%

시설면적
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct3012
Distinct (%)39.5%
Missing2366
Missing (%)23.7%
Infinite0
Infinite (%)0.0%
Mean138.5099
Minimum0
Maximum193065
Zeros3243
Zeros (%)32.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T03:49:18.249911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median59.85
Q3144.195
95-th percentile302.55
Maximum193065
Range193065
Interquartile range (IQR)144.195

Descriptive statistics

Standard deviation2315.7935
Coefficient of variation (CV)16.719336
Kurtosis6323.466
Mean138.5099
Median Absolute Deviation (MAD)59.85
Skewness76.701889
Sum1057384.6
Variance5362899.7
MonotonicityNot monotonic
2024-04-30T03:49:18.375170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 3243
32.4%
132.0 35
 
0.4%
66.0 29
 
0.3%
99.0 29
 
0.3%
165.0 22
 
0.2%
90.0 20
 
0.2%
198.0 19
 
0.2%
150.0 14
 
0.1%
148.5 12
 
0.1%
82.5 12
 
0.1%
Other values (3002) 4199
42.0%
(Missing) 2366
23.7%
ValueCountFrequency (%)
0.0 3243
32.4%
1.0 1
 
< 0.1%
9.1 1
 
< 0.1%
10.75 1
 
< 0.1%
11.8 1
 
< 0.1%
12.0 2
 
< 0.1%
12.6 1
 
< 0.1%
12.68 1
 
< 0.1%
13.13 1
 
< 0.1%
13.2 1
 
< 0.1%
ValueCountFrequency (%)
193065.0 1
< 0.1%
32656.56 1
< 0.1%
27067.0 1
< 0.1%
25949.76 1
< 0.1%
21487.0 1
< 0.1%
14323.0 1
< 0.1%
12065.26 1
< 0.1%
12065.0 1
< 0.1%
8264.0 1
< 0.1%
7381.0 1
< 0.1%

지상층수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct30
Distinct (%)0.6%
Missing4791
Missing (%)47.9%
Infinite0
Infinite (%)0.0%
Mean2.2278748
Minimum0
Maximum320
Zeros2083
Zeros (%)20.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T03:49:18.500844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile7
Maximum320
Range320
Interquartile range (IQR)3

Descriptive statistics

Standard deviation5.5551714
Coefficient of variation (CV)2.4934845
Kurtosis2099.5516
Mean2.2278748
Median Absolute Deviation (MAD)1
Skewness38.344763
Sum11605
Variance30.859929
MonotonicityNot monotonic
2024-04-30T03:49:18.607604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 2083
20.8%
1 761
 
7.6%
3 583
 
5.8%
2 539
 
5.4%
4 494
 
4.9%
5 293
 
2.9%
6 139
 
1.4%
7 89
 
0.9%
8 56
 
0.6%
10 46
 
0.5%
Other values (20) 126
 
1.3%
(Missing) 4791
47.9%
ValueCountFrequency (%)
0 2083
20.8%
1 761
 
7.6%
2 539
 
5.4%
3 583
 
5.8%
4 494
 
4.9%
5 293
 
2.9%
6 139
 
1.4%
7 89
 
0.9%
8 56
 
0.6%
9 29
 
0.3%
ValueCountFrequency (%)
320 1
 
< 0.1%
123 1
 
< 0.1%
31 2
 
< 0.1%
28 1
 
< 0.1%
27 1
 
< 0.1%
24 4
< 0.1%
23 2
 
< 0.1%
22 1
 
< 0.1%
21 1
 
< 0.1%
20 8
0.1%

지하층수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct14
Distinct (%)0.3%
Missing5380
Missing (%)53.8%
Infinite0
Infinite (%)0.0%
Mean0.71168831
Minimum0
Maximum193
Zeros2346
Zeros (%)23.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T03:49:18.718193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum193
Range193
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.1144013
Coefficient of variation (CV)4.3760748
Kurtosis3175.7787
Mean0.71168831
Median Absolute Deviation (MAD)0
Skewness52.561453
Sum3288
Variance9.6994953
MonotonicityNot monotonic
2024-04-30T03:49:18.818273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 2346
23.5%
1 1930
 
19.3%
2 152
 
1.5%
3 74
 
0.7%
4 53
 
0.5%
5 36
 
0.4%
6 14
 
0.1%
7 7
 
0.1%
8 3
 
< 0.1%
11 1
 
< 0.1%
Other values (4) 4
 
< 0.1%
(Missing) 5380
53.8%
ValueCountFrequency (%)
0 2346
23.5%
1 1930
19.3%
2 152
 
1.5%
3 74
 
0.7%
4 53
 
0.5%
5 36
 
0.4%
6 14
 
0.1%
7 7
 
0.1%
8 3
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
193 1
 
< 0.1%
60 1
 
< 0.1%
11 1
 
< 0.1%
10 1
 
< 0.1%
9 1
 
< 0.1%
8 3
 
< 0.1%
7 7
 
0.1%
6 14
 
0.1%
5 36
0.4%
4 53
0.5%

건물용도명
Categorical

IMBALANCE 

Distinct20
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
5946 
근린생활시설
3663 
판매시설
 
245
기타
 
38
유통시설
 
19
Other values (15)
 
89

Length

Max length15
Median length4
Mean length4.7253
Min length2

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5946
59.5%
근린생활시설 3663
36.6%
판매시설 245
 
2.5%
기타 38
 
0.4%
유통시설 19
 
0.2%
사무실 19
 
0.2%
유기장 17
 
0.2%
호텔 13
 
0.1%
환경위생시설 7
 
0.1%
시장(재래시장) 5
 
0.1%
Other values (10) 28
 
0.3%

Length

2024-04-30T03:49:18.943491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 5946
59.5%
근린생활시설 3663
36.6%
판매시설 245
 
2.4%
기타 38
 
0.4%
유통시설 19
 
0.2%
사무실 19
 
0.2%
유기장 17
 
0.2%
호텔 13
 
0.1%
환경위생시설 7
 
0.1%
단독주택 5
 
< 0.1%
Other values (11) 29
 
0.3%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8947 
0
1053 

Length

Max length4
Median length4
Mean length3.6841
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> 8947
89.5%
0 1053
 
10.5%

Length

2024-04-30T03:49:19.044957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:49:19.120446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8947
89.5%
0 1053
 
10.5%

조명시설조도
Real number (ℝ)

MISSING  ZEROS 

Distinct24
Distinct (%)1.5%
Missing8399
Missing (%)84.0%
Infinite0
Infinite (%)0.0%
Mean18.100562
Minimum0
Maximum610
Zeros949
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T03:49:19.194291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q340
95-th percentile45
Maximum610
Range610
Interquartile range (IQR)40

Descriptive statistics

Standard deviation30.712953
Coefficient of variation (CV)1.6967956
Kurtosis133.6029
Mean18.100562
Median Absolute Deviation (MAD)0
Skewness8.441109
Sum28979
Variance943.28551
MonotonicityNot monotonic
2024-04-30T03:49:19.301789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 949
 
9.5%
40 540
 
5.4%
45 49
 
0.5%
50 32
 
0.3%
60 7
 
0.1%
80 5
 
0.1%
30 2
 
< 0.1%
25 1
 
< 0.1%
460 1
 
< 0.1%
46 1
 
< 0.1%
Other values (14) 14
 
0.1%
(Missing) 8399
84.0%
ValueCountFrequency (%)
0 949
9.5%
25 1
 
< 0.1%
30 2
 
< 0.1%
35 1
 
< 0.1%
40 540
5.4%
42 1
 
< 0.1%
45 49
 
0.5%
46 1
 
< 0.1%
50 32
 
0.3%
55 1
 
< 0.1%
ValueCountFrequency (%)
610 1
 
< 0.1%
460 1
 
< 0.1%
378 1
 
< 0.1%
371 1
 
< 0.1%
114 1
 
< 0.1%
100 1
 
< 0.1%
93 1
 
< 0.1%
87 1
 
< 0.1%
80 5
0.1%
75 1
 
< 0.1%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8947 
0
1053 

Length

Max length4
Median length4
Mean length3.6841
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> 8947
89.5%
0 1053
 
10.5%

Length

2024-04-30T03:49:19.417226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:49:19.513586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8947
89.5%
0 1053
 
10.5%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8947 
0
1053 

Length

Max length4
Median length4
Mean length3.6841
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> 8947
89.5%
0 1053
 
10.5%

Length

2024-04-30T03:49:19.600054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:49:19.678653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8947
89.5%
0 1053
 
10.5%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

총게임기수
Real number (ℝ)

MISSING  ZEROS 

Distinct183
Distinct (%)8.8%
Missing7930
Missing (%)79.3%
Infinite0
Infinite (%)0.0%
Mean47.861836
Minimum0
Maximum282
Zeros693
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T03:49:19.781870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median43
Q375
95-th percentile140
Maximum282
Range282
Interquartile range (IQR)75

Descriptive statistics

Standard deviation48.185453
Coefficient of variation (CV)1.0067615
Kurtosis1.4843752
Mean47.861836
Median Absolute Deviation (MAD)43
Skewness1.1168216
Sum99074
Variance2321.8378
MonotonicityNot monotonic
2024-04-30T03:49:19.918010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 693
 
6.9%
51 76
 
0.8%
67 63
 
0.6%
50 57
 
0.6%
86 50
 
0.5%
70 48
 
0.5%
60 46
 
0.5%
102 45
 
0.4%
80 40
 
0.4%
30 37
 
0.4%
Other values (173) 915
 
9.2%
(Missing) 7930
79.3%
ValueCountFrequency (%)
0 693
6.9%
4 2
 
< 0.1%
8 1
 
< 0.1%
10 5
 
0.1%
11 2
 
< 0.1%
12 6
 
0.1%
13 3
 
< 0.1%
14 2
 
< 0.1%
15 4
 
< 0.1%
16 4
 
< 0.1%
ValueCountFrequency (%)
282 1
< 0.1%
274 1
< 0.1%
263 1
< 0.1%
250 1
< 0.1%
248 1
< 0.1%
242 2
< 0.1%
232 1
< 0.1%
227 2
< 0.1%
223 1
< 0.1%
220 2
< 0.1%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

제공게임물명
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8801 
청소년이용불가
900 
전체이용가 및 청소년이용불가
 
205
전체이용가
 
94

Length

Max length15
Median length4
Mean length4.5049
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> 8801
88.0%
청소년이용불가 900
 
9.0%
전체이용가 및 청소년이용불가 205
 
2.1%
전체이용가 94
 
0.9%

Length

2024-04-30T03:49:20.046626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:49:20.144065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8801
84.5%
청소년이용불가 1105
 
10.6%
전체이용가 299
 
2.9%
205
 
2.0%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

지역구분명
Categorical

IMBALANCE 

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7626 
일반주거지역
 
732
일반상업지역
 
540
근린상업지역
 
404
상업지역
 
253
Other values (9)
 
445

Length

Max length6
Median length4
Mean length4.3634
Min length4

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> 7626
76.3%
일반주거지역 732
 
7.3%
일반상업지역 540
 
5.4%
근린상업지역 404
 
4.0%
상업지역 253
 
2.5%
준주거지역 172
 
1.7%
주거지역 167
 
1.7%
준공업지역 72
 
0.7%
공업지역 12
 
0.1%
전용주거지역 6
 
0.1%
Other values (4) 16
 
0.2%

Length

2024-04-30T03:49:20.247681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 7626
76.3%
일반주거지역 732
 
7.3%
일반상업지역 540
 
5.4%
근린상업지역 404
 
4.0%
상업지역 253
 
2.5%
준주거지역 172
 
1.7%
주거지역 167
 
1.7%
준공업지역 72
 
0.7%
공업지역 12
 
0.1%
전용주거지역 6
 
0.1%
Other values (4) 16
 
0.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
80503200000CDFF224101200100018520011219<NA>3폐업03폐업20020101<NA><NA><NA><NA><NA>151875서울특별시 관악구 신림동 527-1번지서울특별시 관악구 난곡로 318 (신림동)<NA>드림캐스트2008-01-29 11:53:49I2018-08-31 23:59:59.0<NA>192383.765488442250.737968게임제공업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3423230000CDFF224101200100010620011227<NA>4취소/말소/만료/정지/중지35직권말소20110720<NA><NA><NA><NA><NA><NA>서울특별시 송파구 문정동 64-3번지 8통2반 403호<NA><NA>우진2011-07-21 10:06:56I2018-08-31 23:59:59.0<NA><NA><NA>게임제공업유통관련업<NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
39393100000CDFF224101200200001920021015<NA>3폐업03폐업20070412<NA><NA><NA><NA><NA>139846서울특별시 노원구 월계동 410-7번지 1층서울특별시 노원구 석계로 103 (월계동,1층)<NA>허니허니2008-09-02 15:38:24I2018-08-31 23:59:59.0<NA>205287.68355457833.667655게임제공업유통관련업<NA><NA><NA>151.8<NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
10973020000CDFF224101200200000220020315<NA>3폐업03폐업20060602<NA><NA><NA>(02)797-2717<NA>140160서울특별시 용산구 남영동 27-2번지 외 3필지서울특별시 용산구 한강대로84길 5-3 (남영동,외 3필지)<NA>삼성게임랜드2006-06-02 09:41:54I2018-08-31 23:59:59.0<NA>197528.906967449055.100475게임제공업유통관련업2<NA><NA><NA>2<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
36003090000CDFF224101200300000420030715<NA>3폐업03폐업20050622<NA><NA><NA><NA><NA>132892서울특별시 도봉구 쌍문동 630번지서울특별시 도봉구 도봉로 585 (쌍문동)<NA>영진게임월드2008-09-17 20:03:52I2018-08-31 23:59:59.0<NA>203404.222753461649.064727게임제공업유통관련업<NA><NA><NA>66.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>27<NA><NA><NA><NA><NA><NA>
85503210000CDFF224101200200002420021231<NA>3폐업03폐업20040528<NA><NA><NA>582-6756<NA>137858서울특별시 서초구 서초동 1330-11번지 금 성210호서울특별시 서초구 서초대로78길 56 (서초동,금 성210호)<NA>은성게임장2004-05-29 11:55:16I2018-08-31 23:59:59.0<NA>202487.353098443422.367739게임제공업유통관련업<NA><NA><NA>57.81<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
20423050000CDFF224101200100002020010528<NA>3폐업03폐업20011225<NA><NA><NA>2248-5966<NA>130843서울특별시 동대문구 장안동 403-4번지 1층서울특별시 동대문구 장한로5길 51 (장안동,1층)<NA>제일오락실2003-04-18 15:38:21I2018-08-31 23:59:59.0<NA>205561.644283451431.630596게임제공업유통관련업0주택가주변<NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
34553080000CDFF224101200200000820020918<NA>4취소/말소/만료/정지/중지35직권말소<NA><NA><NA><NA><NA><NA>142804서울특별시 강북구 미아동 42-8번지 2층서울특별시 강북구 도봉로 16 (미아동,2층)<NA>빅토리아호텔게임장2008-08-05 21:15:03I2018-08-31 23:59:59.0<NA>202651.538047456473.886142게임제공업유통관련업<NA><NA><NA>96.75<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
14013030000CDFF224101199500000219950604<NA>3폐업03폐업20000601<NA><NA><NA><NA><NA>133864서울특별시 성동구 행당동 130-54번지서울특별시 성동구 왕십리로19길 15-1 (행당동)<NA>제일오락실2003-02-06 14:27:39I2018-08-31 23:59:59.0<NA>203310.687418450516.270689게임제공업유통관련업<NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
86893210000CDFF224101200500003420050930<NA>3폐업03폐업20060706<NA><NA><NA><NA><NA>137876서울특별시 서초구 서초동 1589-2번지 2층서울특별시 서초구 효령로51길 18 (서초동,2층)<NA>에이스게임파크2006-07-07 10:01:53I2018-08-31 23:59:59.0<NA>201041.180815442556.747993게임제공업유통관련업7유흥업소밀집지역<NA>144.6461근린생활시설<NA>40<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>57<NA><NA><NA><NA><NA>일반상업지역
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
47063110000CDFF224101200500002220050511200711234취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA>122874서울특별시 은평구 수색동 111-1번지 지층서울특별시 은평구 은평터널로 7 (수색동,지층)<NA>황금성게임랜드2007-11-23 17:28:34I2018-08-31 23:59:59.0<NA>190738.969963453401.015293게임제공업유통관련업5주택가주변<NA>193.251근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
92203230000CDFF224113201100000620110721<NA>3폐업03폐업20120927<NA><NA><NA><NA><NA><NA>서울특별시 송파구 잠실동 180-7번지서울특별시 송파구 백제고분로7길 23-6, 지층 (잠실동)138861파라다이스2012-09-27 09:27:22I2018-08-31 23:59:59.0<NA>207148.374688445418.562121일반게임제공업유통관련업<NA>유흥업소밀집지역킹 포커180.6<NA><NA>판매시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>50<NA>청소년이용불가<NA><NA><NA>일반상업지역
83533200000CDFF224101200200000920020424<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>151877서울특별시 관악구 신림동 560-3번지 855동 6837호서울특별시 관악구 조원로 52, 855동 6837호 (신림동)<NA>로 얄2003-02-06 10:46:07I2018-08-31 23:59:59.0<NA>191806.754729442373.225662게임제공업유통관련업<NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
28583060000CDFF224101200500005820051206<NA>4취소/말소/만료/정지/중지35직권말소20080801<NA><NA><NA><NA><NA>131860서울특별시 중랑구 상봉동 113-4번지 (2층)서울특별시 중랑구 면목로 481 (상봉동,(2층))<NA>로얄게임랜드2008-08-04 16:35:08I2018-08-31 23:59:59.0<NA>207497.453067454719.651369게임제공업유통관련업3<NA><NA>150.182<NA>근린생활시설<NA>40<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>102<NA><NA><NA><NA><NA><NA>
53783150000CDFF224101200400002220040723<NA>3폐업03폐업20060131<NA><NA><NA>3665-6979<NA>157864서울특별시 강서구 염창동 282-22번지 (3층)서울특별시 강서구 공항대로 629 (염창동,(3층))<NA>TUBE플스방2009-04-03 11:24:15I2018-08-31 23:59:59.0<NA>188872.058098449451.023714게임제공업유통관련업4기타<NA>123.631근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>근린상업지역
38913100000CDFF224101199900001619990618<NA>3폐업03폐업20030529<NA><NA><NA><NA><NA>139821서울특별시 노원구 상계동 593-3번지서울특별시 노원구 상계로3길 10 (상계동)<NA>그랜드2 게임장2003-05-29 14:27:40I2018-08-31 23:59:59.0<NA>205455.436908461592.348795게임제공업유통관련업<NA><NA><NA><NA><NA>1근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
80283200000CDFF224101199900028319990722<NA>3폐업03폐업20011224<NA><NA><NA><NA><NA>151895서울특별시 관악구 신림동 1525-10번지서울특별시 관악구 호암로26가길 18 (신림동)<NA>럭키게임랜드2003-02-06 10:46:07I2018-08-31 23:59:59.0<NA>194062.487367440883.996618게임제공업유통관련업0<NA><NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43353110000CDFF224101200200001420020722<NA>3폐업03폐업20050623<NA><NA><NA>305-5159<NA>122883서울특별시 은평구 신사동 40-23번지 지층서울특별시 은평구 은평터널로 194 (신사동,지층)<NA>게임천국2005-06-23 11:10:29I2018-08-31 23:59:59.0<NA>191897.047041454822.547302게임제공업유통관련업<NA><NA><NA>94.71<NA>1근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
62583180000CDFF224101200100001820010614<NA>3폐업03폐업20011017<NA><NA><NA><NA><NA>150092서울특별시 영등포구 문래동2가 48-5번지서울특별시 영등포구 도림로139가길 12 (문래동2가)<NA>노다지 게임랜드2003-04-18 15:28:10I2018-08-31 23:59:59.0<NA>190468.991571445699.373868게임제공업유통관련업0주택가주변<NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
19893050000CDFF224101198600001319861010<NA>3폐업03폐업19981002<NA><NA><NA>212-8703<NA>130835서울특별시 동대문구 장안동 98-4번지서울특별시 동대문구 사가정로25길 21 (장안동)<NA>세운2003-04-18 15:38:21I2018-08-31 23:59:59.0<NA>206145.193725453057.234337게임제공업유통관련업<NA>주택가주변<NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>