Overview

Dataset statistics

Number of variables56
Number of observations857
Missing cells23323
Missing cells (%)48.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory405.2 KiB
Average record size in memory484.2 B

Variable types

Categorical18
Text9
DateTime1
Unsupported20
Numeric8

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
Author강서구
URLhttps://data.seoul.go.kr/dataList/OA-16757/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
기존게임업외업종명 has constant value ""Constant
제공게임물명 has constant value ""Constant
최종수정일자 is highly imbalanced (95.5%)Imbalance
데이터갱신구분 is highly imbalanced (94.0%)Imbalance
데이터갱신일자 is highly imbalanced (97.2%)Imbalance
문화체육업종명 is highly imbalanced (97.6%)Imbalance
문화사업자구분명 is highly imbalanced (97.6%)Imbalance
주변환경명 is highly imbalanced (64.2%)Imbalance
건물용도명 is highly imbalanced (65.8%)Imbalance
통로너비 is highly imbalanced (98.7%)Imbalance
조명시설조도 is highly imbalanced (98.7%)Imbalance
노래방실수 is highly imbalanced (98.7%)Imbalance
청소년실수 is highly imbalanced (98.7%)Imbalance
총게임기수 is highly imbalanced (98.7%)Imbalance
인허가취소일자 has 857 (100.0%) missing valuesMissing
폐업일자 has 459 (53.6%) missing valuesMissing
휴업시작일자 has 857 (100.0%) missing valuesMissing
휴업종료일자 has 857 (100.0%) missing valuesMissing
재개업일자 has 857 (100.0%) missing valuesMissing
전화번호 has 218 (25.4%) missing valuesMissing
소재지면적 has 857 (100.0%) missing valuesMissing
소재지우편번호 has 11 (1.3%) missing valuesMissing
도로명주소 has 124 (14.5%) missing valuesMissing
도로명우편번호 has 850 (99.2%) missing valuesMissing
업태구분명 has 857 (100.0%) missing valuesMissing
좌표정보(X) has 88 (10.3%) missing valuesMissing
좌표정보(Y) has 88 (10.3%) missing valuesMissing
총층수 has 464 (54.1%) missing valuesMissing
제작취급품목내용 has 855 (99.8%) missing valuesMissing
지상층수 has 457 (53.3%) missing valuesMissing
비상계단여부 has 857 (100.0%) missing valuesMissing
비상구여부 has 857 (100.0%) missing valuesMissing
자동환기여부 has 857 (100.0%) missing valuesMissing
청소년실여부 has 857 (100.0%) missing valuesMissing
특수조명여부 has 857 (100.0%) missing valuesMissing
방음시설여부 has 857 (100.0%) missing valuesMissing
비디오재생기명 has 857 (100.0%) missing valuesMissing
조명시설유무 has 857 (100.0%) missing valuesMissing
음향시설여부 has 857 (100.0%) missing valuesMissing
편의시설여부 has 857 (100.0%) missing valuesMissing
소방시설여부 has 857 (100.0%) missing valuesMissing
기존게임업외업종명 has 856 (99.9%) missing valuesMissing
제공게임물명 has 855 (99.8%) missing valuesMissing
공연장형태구분명 has 857 (100.0%) missing valuesMissing
품목명 has 857 (100.0%) missing valuesMissing
최초등록시점 has 857 (100.0%) missing valuesMissing
지역구분명 has 855 (99.8%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
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 339 (39.6%) zerosZeros
시설면적 has 732 (85.4%) zerosZeros
지상층수 has 317 (37.0%) zerosZeros

Reproduction

Analysis started2024-05-11 05:56:01.077330
Analysis finished2024-05-11 05:56:02.675373
Duration1.6 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
3150000
857 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3150000
2nd row3150000
3rd row3150000
4th row3150000
5th row3150000

Common Values

ValueCountFrequency (%)
3150000 857
100.0%

Length

2024-05-11T14:56:02.793829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:56:02.965578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3150000 857
100.0%

관리번호
Text

UNIQUE 

Distinct857
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
2024-05-11T14:56:03.291495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters17140
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

Unique857 ?
Unique (%)100.0%

Sample

1st rowCDFF2241031975000001
2nd rowCDFF2241031978000001
3rd rowCDFF2241031978000002
4th rowCDFF2241031978000003
5th rowCDFF2241031979000001
ValueCountFrequency (%)
cdff2241031975000001 1
 
0.1%
cdff2241031999000065 1
 
0.1%
cdff2241031999000067 1
 
0.1%
cdff2241031999000068 1
 
0.1%
cdff2241031999000069 1
 
0.1%
cdff2241031999000070 1
 
0.1%
cdff2241031999000071 1
 
0.1%
cdff2241031999000072 1
 
0.1%
cdff2241031999000073 1
 
0.1%
cdff2241031999000074 1
 
0.1%
Other values (847) 847
98.8%
2024-05-11T14:56:03.890328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5159
30.1%
2 2186
12.8%
1 1871
 
10.9%
F 1714
 
10.0%
9 1376
 
8.0%
3 1065
 
6.2%
4 1046
 
6.1%
C 857
 
5.0%
D 857
 
5.0%
8 331
 
1.9%
Other values (3) 678
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13712
80.0%
Uppercase Letter 3428
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5159
37.6%
2 2186
15.9%
1 1871
 
13.6%
9 1376
 
10.0%
3 1065
 
7.8%
4 1046
 
7.6%
8 331
 
2.4%
7 254
 
1.9%
6 237
 
1.7%
5 187
 
1.4%
Uppercase Letter
ValueCountFrequency (%)
F 1714
50.0%
C 857
25.0%
D 857
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13712
80.0%
Latin 3428
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5159
37.6%
2 2186
15.9%
1 1871
 
13.6%
9 1376
 
10.0%
3 1065
 
7.8%
4 1046
 
7.6%
8 331
 
2.4%
7 254
 
1.9%
6 237
 
1.7%
5 187
 
1.4%
Latin
ValueCountFrequency (%)
F 1714
50.0%
C 857
25.0%
D 857
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17140
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5159
30.1%
2 2186
12.8%
1 1871
 
10.9%
F 1714
 
10.0%
9 1376
 
8.0%
3 1065
 
6.2%
4 1046
 
6.1%
C 857
 
5.0%
D 857
 
5.0%
8 331
 
1.9%
Other values (3) 678
 
4.0%

인허가일자
Date

Distinct623
Distinct (%)72.7%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
Minimum1975-05-10 00:00:00
Maximum2022-11-09 00:00:00
2024-05-11T14:56:04.106171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:56:04.323929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing857
Missing (%)100.0%
Memory size7.7 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
1
459 
3
396 
4
 
2

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 (%)
1 459
53.6%
3 396
46.2%
4 2
 
0.2%

Length

2024-05-11T14:56:04.572247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:56:05.047212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 459
53.6%
3 396
46.2%
4 2
 
0.2%

영업상태명
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
영업/정상
459 
폐업
396 
취소/말소/만료/정지/중지
 
2

Length

Max length14
Median length5
Mean length3.6347725
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 459
53.6%
폐업 396
46.2%
취소/말소/만료/정지/중지 2
 
0.2%

Length

2024-05-11T14:56:05.256070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:56:05.452725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 459
53.6%
폐업 396
46.2%
취소/말소/만료/정지/중지 2
 
0.2%

상세영업상태코드
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
13
444 
03
396 
BBBB
 
15
35
 
2

Length

Max length4
Median length2
Mean length2.0350058
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 444
51.8%
03 396
46.2%
BBBB 15
 
1.8%
35 2
 
0.2%

Length

2024-05-11T14:56:05.718167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:56:05.951472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 444
51.8%
03 396
46.2%
bbbb 15
 
1.8%
35 2
 
0.2%

상세영업상태명
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
영업중
444 
폐업
396 
<NA>
 
15
직권말소
 
2

Length

Max length4
Median length3
Mean length2.5577596
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 444
51.8%
폐업 396
46.2%
<NA> 15
 
1.8%
직권말소 2
 
0.2%

Length

2024-05-11T14:56:06.164228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:56:06.383595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 444
51.8%
폐업 396
46.2%
na 15
 
1.8%
직권말소 2
 
0.2%

폐업일자
Real number (ℝ)

MISSING 

Distinct245
Distinct (%)61.6%
Missing459
Missing (%)53.6%
Infinite0
Infinite (%)0.0%
Mean20009326
Minimum19980708
Maximum20210122
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.7 KiB
2024-05-11T14:56:06.614929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19980708
5-th percentile19990701
Q120000701
median20010412
Q320011226
95-th percentile20030211
Maximum20210122
Range229414
Interquartile range (IQR)10525

Descriptive statistics

Standard deviation20448.942
Coefficient of variation (CV)0.0010219706
Kurtosis54.170978
Mean20009326
Median Absolute Deviation (MAD)9295
Skewness6.2210119
Sum7.9637116 × 109
Variance4.1815922 × 108
MonotonicityNot monotonic
2024-05-11T14:56:06.878498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20011228 33
 
3.9%
20030211 31
 
3.6%
20011227 8
 
0.9%
20011226 8
 
0.9%
20011221 6
 
0.7%
20020220 6
 
0.7%
20001106 4
 
0.5%
20000330 4
 
0.5%
20000407 4
 
0.5%
20000824 3
 
0.4%
Other values (235) 291
34.0%
(Missing) 459
53.6%
ValueCountFrequency (%)
19980708 1
0.1%
19981123 1
0.1%
19981125 1
0.1%
19981201 1
0.1%
19981207 1
0.1%
19990203 1
0.1%
19990212 1
0.1%
19990325 1
0.1%
19990510 1
0.1%
19990518 2
0.2%
ValueCountFrequency (%)
20210122 1
 
0.1%
20200512 1
 
0.1%
20180123 1
 
0.1%
20090109 1
 
0.1%
20080101 1
 
0.1%
20071120 1
 
0.1%
20030211 31
3.6%
20030103 1
 
0.1%
20021224 1
 
0.1%
20020423 1
 
0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing857
Missing (%)100.0%
Memory size7.7 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing857
Missing (%)100.0%
Memory size7.7 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing857
Missing (%)100.0%
Memory size7.7 KiB

전화번호
Text

MISSING 

Distinct565
Distinct (%)88.4%
Missing218
Missing (%)25.4%
Memory size6.8 KiB
2024-05-11T14:56:07.347335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length8.2769953
Min length5

Characters and Unicode

Total characters5289
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

Unique517 ?
Unique (%)80.9%

Sample

1st row694-9299
2nd row698-0594
3rd row643-3165
4th row661-3132
5th row697-1333
ValueCountFrequency (%)
661-1301 13
 
2.0%
6255-9090 9
 
1.4%
2608-7755 7
 
1.1%
3663-0456 4
 
0.6%
664-8825 3
 
0.5%
666-2153 2
 
0.3%
3661-7264 2
 
0.3%
604-8841 2
 
0.3%
659-7179 2
 
0.3%
3661-7361 2
 
0.3%
Other values (555) 593
92.8%
2024-05-11T14:56:08.019669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 1180
22.3%
- 643
12.2%
3 469
 
8.9%
2 423
 
8.0%
0 391
 
7.4%
9 390
 
7.4%
1 389
 
7.4%
5 376
 
7.1%
4 370
 
7.0%
8 350
 
6.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4646
87.8%
Dash Punctuation 643
 
12.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 1180
25.4%
3 469
 
10.1%
2 423
 
9.1%
0 391
 
8.4%
9 390
 
8.4%
1 389
 
8.4%
5 376
 
8.1%
4 370
 
8.0%
8 350
 
7.5%
7 308
 
6.6%
Dash Punctuation
ValueCountFrequency (%)
- 643
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5289
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 1180
22.3%
- 643
12.2%
3 469
 
8.9%
2 423
 
8.0%
0 391
 
7.4%
9 390
 
7.4%
1 389
 
7.4%
5 376
 
7.1%
4 370
 
7.0%
8 350
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5289
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 1180
22.3%
- 643
12.2%
3 469
 
8.9%
2 423
 
8.0%
0 391
 
7.4%
9 390
 
7.4%
1 389
 
7.4%
5 376
 
7.1%
4 370
 
7.0%
8 350
 
6.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing857
Missing (%)100.0%
Memory size7.7 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct108
Distinct (%)12.8%
Missing11
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean157796.15
Minimum157010
Maximum157928
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.7 KiB
2024-05-11T14:56:08.264256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum157010
5-th percentile157030
Q1157836
median157859
Q3157898
95-th percentile157928
Maximum157928
Range918
Interquartile range (IQR)62

Descriptive statistics

Standard deviation229.9306
Coefficient of variation (CV)0.001457137
Kurtosis5.870074
Mean157796.15
Median Absolute Deviation (MAD)36
Skewness-2.7142009
Sum1.3349554 × 108
Variance52868.08
MonotonicityNot monotonic
2024-05-11T14:56:08.514936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
157928 57
 
6.7%
157030 48
 
5.6%
157847 26
 
3.0%
157836 25
 
2.9%
157897 25
 
2.9%
157918 23
 
2.7%
157280 23
 
2.7%
157800 22
 
2.6%
157884 20
 
2.3%
157910 20
 
2.3%
Other values (98) 557
65.0%
ValueCountFrequency (%)
157010 5
 
0.6%
157030 48
5.6%
157200 1
 
0.1%
157210 2
 
0.2%
157220 2
 
0.2%
157230 1
 
0.1%
157280 23
2.7%
157710 1
 
0.1%
157739 1
 
0.1%
157750 1
 
0.1%
ValueCountFrequency (%)
157928 57
6.7%
157927 2
 
0.2%
157926 1
 
0.1%
157925 9
 
1.1%
157924 3
 
0.4%
157923 2
 
0.2%
157922 18
 
2.1%
157921 1
 
0.1%
157919 1
 
0.1%
157918 23
2.7%

지번주소
Text

Distinct718
Distinct (%)83.8%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
2024-05-11T14:56:08.867394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length41
Mean length24.441074
Min length6

Characters and Unicode

Total characters20946
Distinct characters162
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique637 ?
Unique (%)74.3%

Sample

1st row서울특별시 강서구 공항동 22-11번지
2nd row서울특별시 강서구 가양동 115번지
3rd row서울특별시 강서구 등촌동 400-54번지
4th row서울특별시 강서구 등촌동 154-82번지
5th row서울특별시 강서구 방화동 633-1번지
ValueCountFrequency (%)
서울특별시 855
22.8%
강서구 855
22.8%
화곡동 396
 
10.5%
방화동 153
 
4.1%
등촌동 118
 
3.1%
가양동 51
 
1.4%
내발산동 50
 
1.3%
공항동 39
 
1.0%
염창동 38
 
1.0%
1111-2번지 32
 
0.9%
Other values (873) 1167
31.1%
2024-05-11T14:56:09.600952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3726
17.8%
서 1713
 
8.2%
1 1013
 
4.8%
지 913
 
4.4%
동 905
 
4.3%
시 867
 
4.1%
강 860
 
4.1%
구 858
 
4.1%
특 855
 
4.1%
별 855
 
4.1%
Other values (152) 8381
40.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12008
57.3%
Decimal Number 4335
 
20.7%
Space Separator 3726
 
17.8%
Dash Punctuation 818
 
3.9%
Uppercase Letter 37
 
0.2%
Close Punctuation 7
 
< 0.1%
Open Punctuation 7
 
< 0.1%
Lowercase Letter 5
 
< 0.1%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 1713
14.3%
지 913
 
7.6%
동 905
 
7.5%
시 867
 
7.2%
강 860
 
7.2%
구 858
 
7.1%
특 855
 
7.1%
별 855
 
7.1%
울 855
 
7.1%
번 852
 
7.1%
Other values (126) 2475
20.6%
Decimal Number
ValueCountFrequency (%)
1 1013
23.4%
2 543
12.5%
0 449
10.4%
3 407
9.4%
6 401
 
9.3%
4 346
 
8.0%
5 338
 
7.8%
7 318
 
7.3%
9 261
 
6.0%
8 259
 
6.0%
Uppercase Letter
ValueCountFrequency (%)
A 28
75.7%
B 2
 
5.4%
D 2
 
5.4%
P 1
 
2.7%
T 1
 
2.7%
K 1
 
2.7%
L 1
 
2.7%
E 1
 
2.7%
Other Punctuation
ValueCountFrequency (%)
, 1
33.3%
. 1
33.3%
/ 1
33.3%
Space Separator
ValueCountFrequency (%)
3726
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 818
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12008
57.3%
Common 8896
42.5%
Latin 42
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 1713
14.3%
지 913
 
7.6%
동 905
 
7.5%
시 867
 
7.2%
강 860
 
7.2%
구 858
 
7.1%
특 855
 
7.1%
별 855
 
7.1%
울 855
 
7.1%
번 852
 
7.1%
Other values (126) 2475
20.6%
Common
ValueCountFrequency (%)
3726
41.9%
1 1013
 
11.4%
- 818
 
9.2%
2 543
 
6.1%
0 449
 
5.0%
3 407
 
4.6%
6 401
 
4.5%
4 346
 
3.9%
5 338
 
3.8%
7 318
 
3.6%
Other values (7) 537
 
6.0%
Latin
ValueCountFrequency (%)
A 28
66.7%
b 5
 
11.9%
B 2
 
4.8%
D 2
 
4.8%
P 1
 
2.4%
T 1
 
2.4%
K 1
 
2.4%
L 1
 
2.4%
E 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12008
57.3%
ASCII 8938
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3726
41.7%
1 1013
 
11.3%
- 818
 
9.2%
2 543
 
6.1%
0 449
 
5.0%
3 407
 
4.6%
6 401
 
4.5%
4 346
 
3.9%
5 338
 
3.8%
7 318
 
3.6%
Other values (16) 579
 
6.5%
Hangul
ValueCountFrequency (%)
서 1713
14.3%
지 913
 
7.6%
동 905
 
7.5%
시 867
 
7.2%
강 860
 
7.2%
구 858
 
7.1%
특 855
 
7.1%
별 855
 
7.1%
울 855
 
7.1%
번 852
 
7.1%
Other values (126) 2475
20.6%

도로명주소
Text

MISSING 

Distinct608
Distinct (%)82.9%
Missing124
Missing (%)14.5%
Memory size6.8 KiB
2024-05-11T14:56:10.081773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length43
Mean length27.126876
Min length23

Characters and Unicode

Total characters19884
Distinct characters161
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique531 ?
Unique (%)72.4%

Sample

1st row서울특별시 강서구 송정로 48 (공항동)
2nd row서울특별시 강서구 강서로24길 58 (화곡동)
3rd row서울특별시 강서구 방화동로3길 24 (방화동)
4th row서울특별시 강서구 강서로29길 82 (화곡동)
5th row서울특별시 강서구 강서로18다길 8 (화곡동)
ValueCountFrequency (%)
서울특별시 733
19.6%
강서구 733
19.6%
화곡동 344
 
9.2%
방화동 98
 
2.6%
등촌동 72
 
1.9%
화곡로 62
 
1.7%
양천로 44
 
1.2%
강서로 44
 
1.2%
내발산동 37
 
1.0%
346 32
 
0.9%
Other values (617) 1547
41.3%
2024-05-11T14:56:11.047891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3719
18.7%
서 1618
 
8.1%
강 887
 
4.5%
동 803
 
4.0%
로 748
 
3.8%
) 738
 
3.7%
( 738
 
3.7%
시 735
 
3.7%
울 733
 
3.7%
구 733
 
3.7%
Other values (151) 8432
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11586
58.3%
Space Separator 3719
 
18.7%
Decimal Number 2847
 
14.3%
Close Punctuation 738
 
3.7%
Open Punctuation 738
 
3.7%
Other Punctuation 156
 
0.8%
Dash Punctuation 88
 
0.4%
Uppercase Letter 10
 
0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 1618
14.0%
강 887
 
7.7%
동 803
 
6.9%
로 748
 
6.5%
시 735
 
6.3%
울 733
 
6.3%
구 733
 
6.3%
별 733
 
6.3%
특 733
 
6.3%
화 705
 
6.1%
Other values (130) 3158
27.3%
Decimal Number
ValueCountFrequency (%)
1 588
20.7%
4 351
12.3%
2 340
11.9%
3 330
11.6%
5 270
9.5%
6 265
9.3%
0 187
 
6.6%
8 181
 
6.4%
7 170
 
6.0%
9 165
 
5.8%
Other Punctuation
ValueCountFrequency (%)
, 154
98.7%
/ 1
 
0.6%
. 1
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
A 7
70.0%
D 2
 
20.0%
B 1
 
10.0%
Space Separator
ValueCountFrequency (%)
3719
100.0%
Close Punctuation
ValueCountFrequency (%)
) 738
100.0%
Open Punctuation
ValueCountFrequency (%)
( 738
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 88
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11586
58.3%
Common 8286
41.7%
Latin 12
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 1618
14.0%
강 887
 
7.7%
동 803
 
6.9%
로 748
 
6.5%
시 735
 
6.3%
울 733
 
6.3%
구 733
 
6.3%
별 733
 
6.3%
특 733
 
6.3%
화 705
 
6.1%
Other values (130) 3158
27.3%
Common
ValueCountFrequency (%)
3719
44.9%
) 738
 
8.9%
( 738
 
8.9%
1 588
 
7.1%
4 351
 
4.2%
2 340
 
4.1%
3 330
 
4.0%
5 270
 
3.3%
6 265
 
3.2%
0 187
 
2.3%
Other values (7) 760
 
9.2%
Latin
ValueCountFrequency (%)
A 7
58.3%
b 2
 
16.7%
D 2
 
16.7%
B 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11586
58.3%
ASCII 8298
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3719
44.8%
) 738
 
8.9%
( 738
 
8.9%
1 588
 
7.1%
4 351
 
4.2%
2 340
 
4.1%
3 330
 
4.0%
5 270
 
3.3%
6 265
 
3.2%
0 187
 
2.3%
Other values (11) 772
 
9.3%
Hangul
ValueCountFrequency (%)
서 1618
14.0%
강 887
 
7.7%
동 803
 
6.9%
로 748
 
6.5%
시 735
 
6.3%
울 733
 
6.3%
구 733
 
6.3%
별 733
 
6.3%
특 733
 
6.3%
화 705
 
6.1%
Other values (130) 3158
27.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing850
Missing (%)99.2%
Infinite0
Infinite (%)0.0%
Mean7649.1429
Minimum7547
Maximum7803
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.7 KiB
2024-05-11T14:56:11.281762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7547
5-th percentile7567.4
Q17626.5
median7639
Q37651
95-th percentile7758
Maximum7803
Range256
Interquartile range (IQR)24.5

Descriptive statistics

Standard deviation76.9338
Coefficient of variation (CV)0.010057833
Kurtosis3.5330959
Mean7649.1429
Median Absolute Deviation (MAD)14
Skewness1.2986057
Sum53544
Variance5918.8095
MonotonicityNot monotonic
2024-05-11T14:56:11.504319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7639 1
 
0.1%
7615 1
 
0.1%
7649 1
 
0.1%
7803 1
 
0.1%
7638 1
 
0.1%
7547 1
 
0.1%
7653 1
 
0.1%
(Missing) 850
99.2%
ValueCountFrequency (%)
7547 1
0.1%
7615 1
0.1%
7638 1
0.1%
7639 1
0.1%
7649 1
0.1%
7653 1
0.1%
7803 1
0.1%
ValueCountFrequency (%)
7803 1
0.1%
7653 1
0.1%
7649 1
0.1%
7639 1
0.1%
7638 1
0.1%
7615 1
0.1%
7547 1
0.1%

사업장명
Text

Distinct691
Distinct (%)80.6%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
2024-05-11T14:56:11.920905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length18
Mean length5.8891482
Min length1

Characters and Unicode

Total characters5047
Distinct characters454
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

Unique595 ?
Unique (%)69.4%

Sample

1st row삼나무용단
2nd row푸른장미
3rd row치우와겁쟁이들
4th row천사의소리
5th row홍성재악단
ValueCountFrequency (%)
뉴시네마 14
 
1.5%
영화마을 12
 
1.3%
극단 10
 
1.0%
비디오랜드 9
 
0.9%
게임랜드 9
 
0.9%
주)에듀코아 8
 
0.8%
m.park 7
 
0.7%
9 7
 
0.7%
영비디오 5
 
0.5%
뉴시네마3관 5
 
0.5%
Other values (714) 873
91.0%
2024-05-11T14:56:12.601704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
오 245
 
4.9%
비 219
 
4.3%
디 218
 
4.3%
임 138
 
2.7%
게 134
 
2.7%
드 109
 
2.2%
102
 
2.0%
화 99
 
2.0%
스 87
 
1.7%
영 84
 
1.7%
Other values (444) 3612
71.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4545
90.1%
Decimal Number 113
 
2.2%
Space Separator 102
 
2.0%
Uppercase Letter 91
 
1.8%
Close Punctuation 70
 
1.4%
Open Punctuation 68
 
1.3%
Lowercase Letter 49
 
1.0%
Other Punctuation 9
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
오 245
 
5.4%
비 219
 
4.8%
디 218
 
4.8%
임 138
 
3.0%
게 134
 
2.9%
드 109
 
2.4%
화 99
 
2.2%
스 87
 
1.9%
영 84
 
1.8%
마 80
 
1.8%
Other values (396) 3132
68.9%
Uppercase Letter
ValueCountFrequency (%)
P 14
15.4%
L 10
11.0%
M 9
9.9%
N 7
 
7.7%
C 7
 
7.7%
G 6
 
6.6%
O 5
 
5.5%
T 5
 
5.5%
A 4
 
4.4%
E 4
 
4.4%
Other values (11) 20
22.0%
Lowercase Letter
ValueCountFrequency (%)
a 12
24.5%
r 9
18.4%
k 9
18.4%
c 3
 
6.1%
e 3
 
6.1%
f 3
 
6.1%
n 2
 
4.1%
o 2
 
4.1%
y 2
 
4.1%
x 1
 
2.0%
Other values (3) 3
 
6.1%
Decimal Number
ValueCountFrequency (%)
2 34
30.1%
1 21
18.6%
0 15
13.3%
3 12
 
10.6%
9 12
 
10.6%
5 9
 
8.0%
7 5
 
4.4%
4 3
 
2.7%
8 1
 
0.9%
6 1
 
0.9%
Space Separator
ValueCountFrequency (%)
102
100.0%
Close Punctuation
ValueCountFrequency (%)
) 70
100.0%
Open Punctuation
ValueCountFrequency (%)
( 68
100.0%
Other Punctuation
ValueCountFrequency (%)
. 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4545
90.1%
Common 362
 
7.2%
Latin 140
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
오 245
 
5.4%
비 219
 
4.8%
디 218
 
4.8%
임 138
 
3.0%
게 134
 
2.9%
드 109
 
2.4%
화 99
 
2.2%
스 87
 
1.9%
영 84
 
1.8%
마 80
 
1.8%
Other values (396) 3132
68.9%
Latin
ValueCountFrequency (%)
P 14
 
10.0%
a 12
 
8.6%
L 10
 
7.1%
M 9
 
6.4%
r 9
 
6.4%
k 9
 
6.4%
N 7
 
5.0%
C 7
 
5.0%
G 6
 
4.3%
O 5
 
3.6%
Other values (24) 52
37.1%
Common
ValueCountFrequency (%)
102
28.2%
) 70
19.3%
( 68
18.8%
2 34
 
9.4%
1 21
 
5.8%
0 15
 
4.1%
3 12
 
3.3%
9 12
 
3.3%
5 9
 
2.5%
. 9
 
2.5%
Other values (4) 10
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4545
90.1%
ASCII 502
 
9.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
오 245
 
5.4%
비 219
 
4.8%
디 218
 
4.8%
임 138
 
3.0%
게 134
 
2.9%
드 109
 
2.4%
화 99
 
2.2%
스 87
 
1.9%
영 84
 
1.8%
마 80
 
1.8%
Other values (396) 3132
68.9%
ASCII
ValueCountFrequency (%)
102
20.3%
) 70
13.9%
( 68
13.5%
2 34
 
6.8%
1 21
 
4.2%
0 15
 
3.0%
P 14
 
2.8%
3 12
 
2.4%
a 12
 
2.4%
9 12
 
2.4%
Other values (38) 142
28.3%

최종수정일자
Categorical

IMBALANCE 

Distinct14
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
2003-04-18 11:50:44
844 
2015-04-22 13:33:16
 
1
2021-04-12 10:12:59
 
1
2013-02-06 17:11:51
 
1
2018-01-23 18:54:50
 
1
Other values (9)
 
9

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique13 ?
Unique (%)1.5%

Sample

1st row2003-04-18 11:50:44
2nd row2003-04-18 11:50:44
3rd row2003-04-18 11:50:44
4th row2003-04-18 11:50:44
5th row2003-04-18 11:50:44

Common Values

ValueCountFrequency (%)
2003-04-18 11:50:44 844
98.5%
2015-04-22 13:33:16 1
 
0.1%
2021-04-12 10:12:59 1
 
0.1%
2013-02-06 17:11:51 1
 
0.1%
2018-01-23 18:54:50 1
 
0.1%
2014-08-12 17:32:48 1
 
0.1%
2009-04-03 10:51:57 1
 
0.1%
2007-11-20 10:00:44 1
 
0.1%
2017-03-13 15:17:07 1
 
0.1%
2020-05-14 10:11:20 1
 
0.1%
Other values (4) 4
 
0.5%

Length

2024-05-11T14:56:12.888744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2003-04-18 844
49.2%
11:50:44 844
49.2%
2023-12-14 1
 
0.1%
17:24:05 1
 
0.1%
2021-01-22 1
 
0.1%
14:55:20 1
 
0.1%
2023-03-27 1
 
0.1%
15:17:22 1
 
0.1%
2021-07-13 1
 
0.1%
10:11:20 1
 
0.1%
Other values (18) 18
 
1.1%

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
I
851 
U
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 851
99.3%
U 6
 
0.7%

Length

2024-05-11T14:56:13.086213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:56:13.256912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 851
99.3%
u 6
 
0.7%

데이터갱신일자
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
2018-08-31 23:59:59.0
851 
2021-04-14 02:40:00.0
 
1
2020-05-16 02:40:00.0
 
1
2021-07-15 02:40:00.0
 
1
2022-12-02 22:09:00.0
 
1
Other values (2)
 
2

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique6 ?
Unique (%)0.7%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 851
99.3%
2021-04-14 02:40:00.0 1
 
0.1%
2020-05-16 02:40:00.0 1
 
0.1%
2021-07-15 02:40:00.0 1
 
0.1%
2022-12-02 22:09:00.0 1
 
0.1%
2021-01-24 02:40:00.0 1
 
0.1%
2022-11-01 23:06:00.0 1
 
0.1%

Length

2024-05-11T14:56:13.431435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:56:13.663857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-08-31 851
49.6%
23:59:59.0 851
49.6%
02:40:00.0 4
 
0.2%
2021-04-14 1
 
0.1%
2020-05-16 1
 
0.1%
2021-07-15 1
 
0.1%
2022-12-02 1
 
0.1%
22:09:00.0 1
 
0.1%
2021-01-24 1
 
0.1%
2022-11-01 1
 
0.1%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing857
Missing (%)100.0%
Memory size7.7 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct587
Distinct (%)76.3%
Missing88
Missing (%)10.3%
Infinite0
Infinite (%)0.0%
Mean185831.59
Minimum182406.89
Maximum188894.09
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.7 KiB
2024-05-11T14:56:13.889049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum182406.89
5-th percentile183098.76
Q1185243.84
median186139.93
Q3186908.91
95-th percentile187854.62
Maximum188894.09
Range6487.2014
Interquartile range (IQR)1665.0708

Descriptive statistics

Standard deviation1578.67
Coefficient of variation (CV)0.0084951646
Kurtosis-0.76572802
Mean185831.59
Median Absolute Deviation (MAD)852.20641
Skewness-0.50869808
Sum1.429045 × 108
Variance2492198.9
MonotonicityNot monotonic
2024-05-11T14:56:14.132854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
186850.824018452 32
 
3.7%
182735.786874703 17
 
2.0%
183394.032235885 6
 
0.7%
184642.500428074 6
 
0.7%
187048.161511426 5
 
0.6%
188181.747875314 4
 
0.5%
188050.374884043 4
 
0.5%
187792.840718161 3
 
0.4%
185491.877256864 3
 
0.4%
186334.465 3
 
0.4%
Other values (577) 686
80.0%
(Missing) 88
 
10.3%
ValueCountFrequency (%)
182406.887390123 1
 
0.1%
182735.786874703 17
2.0%
182742.537963411 1
 
0.1%
182794.441839414 2
 
0.2%
182815.084211868 1
 
0.1%
182857.528466005 2
 
0.2%
182859.059692916 1
 
0.1%
182924.505322144 1
 
0.1%
182964.153168769 1
 
0.1%
182988.912846535 1
 
0.1%
ValueCountFrequency (%)
188894.08883472 1
0.1%
188891.283361072 1
0.1%
188870.663928731 1
0.1%
188820.99752525 1
0.1%
188783.060728518 1
0.1%
188740.698973404 1
0.1%
188663.852192358 2
0.2%
188612.842594632 1
0.1%
188549.5645443 1
0.1%
188543.232024063 1
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct587
Distinct (%)76.3%
Missing88
Missing (%)10.3%
Infinite0
Infinite (%)0.0%
Mean449868.65
Minimum447316.21
Maximum453595.39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.7 KiB
2024-05-11T14:56:14.342530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447316.21
5-th percentile447594.17
Q1448346.56
median450042.22
Q3451011.69
95-th percentile452375.75
Maximum453595.39
Range6279.173
Interquartile range (IQR)2665.1292

Descriptive statistics

Standard deviation1566.1008
Coefficient of variation (CV)0.0034812401
Kurtosis-0.95036827
Mean449868.65
Median Absolute Deviation (MAD)1256.8286
Skewness0.13457977
Sum3.4594899 × 108
Variance2452671.7
MonotonicityNot monotonic
2024-05-11T14:56:14.578691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
450258.958284373 32
 
3.7%
451591.610813727 17
 
2.0%
452906.521290095 6
 
0.7%
453595.387945696 6
 
0.7%
451115.773002543 5
 
0.6%
450207.898931528 4
 
0.5%
450375.811529 4
 
0.5%
447541.230701415 3
 
0.4%
449023.09563007 3
 
0.4%
450856.325 3
 
0.4%
Other values (577) 686
80.0%
(Missing) 88
 
10.3%
ValueCountFrequency (%)
447316.214981355 2
0.2%
447328.54126812 1
0.1%
447329.136662979 2
0.2%
447330.821264356 1
0.1%
447354.277685527 1
0.1%
447358.637705214 2
0.2%
447361.605682635 1
0.1%
447401.109362456 1
0.1%
447403.097248268 1
0.1%
447431.226582018 1
0.1%
ValueCountFrequency (%)
453595.387945696 6
0.7%
453178.305694113 1
 
0.1%
453050.733807442 2
 
0.2%
452973.175092883 1
 
0.1%
452963.282444855 1
 
0.1%
452906.521290095 6
0.7%
452849.091475392 1
 
0.1%
452817.469477897 3
0.4%
452783.158197133 1
 
0.1%
452730.209311733 1
 
0.1%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
복합유통게임제공업
855 
<NA>
 
2

Length

Max length9
Median length9
Mean length8.9883314
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
복합유통게임제공업 855
99.8%
<NA> 2
 
0.2%

Length

2024-05-11T14:56:14.818933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:56:14.985535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
복합유통게임제공업 855
99.8%
na 2
 
0.2%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
유통관련업
855 
<NA>
 
2

Length

Max length5
Median length5
Mean length4.9976663
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 855
99.8%
<NA> 2
 
0.2%

Length

2024-05-11T14:56:15.171645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:56:15.327880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 855
99.8%
na 2
 
0.2%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)1.8%
Missing464
Missing (%)54.1%
Infinite0
Infinite (%)0.0%
Mean0.52417303
Minimum0
Maximum7
Zeros339
Zeros (%)39.6%
Negative0
Negative (%)0.0%
Memory size7.7 KiB
2024-05-11T14:56:15.440329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.3758303
Coefficient of variation (CV)2.6247637
Kurtosis4.7826306
Mean0.52417303
Median Absolute Deviation (MAD)0
Skewness2.4717554
Sum206
Variance1.8929091
MonotonicityNot monotonic
2024-05-11T14:56:15.590519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 339
39.6%
3 17
 
2.0%
4 16
 
1.9%
5 15
 
1.8%
2 4
 
0.5%
7 1
 
0.1%
1 1
 
0.1%
(Missing) 464
54.1%
ValueCountFrequency (%)
0 339
39.6%
1 1
 
0.1%
2 4
 
0.5%
3 17
 
2.0%
4 16
 
1.9%
5 15
 
1.8%
7 1
 
0.1%
ValueCountFrequency (%)
7 1
 
0.1%
5 15
 
1.8%
4 16
 
1.9%
3 17
 
2.0%
2 4
 
0.5%
1 1
 
0.1%
0 339
39.6%

주변환경명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
<NA>
729 
기타
 
41
주택가주변
 
36
유흥업소밀집지역
 
23
학교정화(상대)
 
22

Length

Max length8
Median length4
Mean length4.1633606
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> 729
85.1%
기타 41
 
4.8%
주택가주변 36
 
4.2%
유흥업소밀집지역 23
 
2.7%
학교정화(상대) 22
 
2.6%
아파트지역 6
 
0.7%

Length

2024-05-11T14:56:15.786587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:56:15.982173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 729
85.1%
기타 41
 
4.8%
주택가주변 36
 
4.2%
유흥업소밀집지역 23
 
2.7%
학교정화(상대 22
 
2.6%
아파트지역 6
 
0.7%

제작취급품목내용
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing855
Missing (%)99.8%
Memory size6.8 KiB
2024-05-11T14:56:16.205256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5.5
Mean length5.5
Min length5

Characters and Unicode

Total characters11
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row식품접객업
2nd row노래연습장업
ValueCountFrequency (%)
식품접객업 1
50.0%
노래연습장업 1
50.0%
2024-05-11T14:56:16.605192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
업 2
18.2%
식 1
9.1%
품 1
9.1%
접 1
9.1%
객 1
9.1%
노 1
9.1%
래 1
9.1%
연 1
9.1%
습 1
9.1%
장 1
9.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 2
18.2%
식 1
9.1%
품 1
9.1%
접 1
9.1%
객 1
9.1%
노 1
9.1%
래 1
9.1%
연 1
9.1%
습 1
9.1%
장 1
9.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 2
18.2%
식 1
9.1%
품 1
9.1%
접 1
9.1%
객 1
9.1%
노 1
9.1%
래 1
9.1%
연 1
9.1%
습 1
9.1%
장 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
업 2
18.2%
식 1
9.1%
품 1
9.1%
접 1
9.1%
객 1
9.1%
노 1
9.1%
래 1
9.1%
연 1
9.1%
습 1
9.1%
장 1
9.1%

시설면적
Real number (ℝ)

ZEROS 

Distinct92
Distinct (%)10.8%
Missing3
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean13.157002
Minimum0
Maximum710
Zeros732
Zeros (%)85.4%
Negative0
Negative (%)0.0%
Memory size7.7 KiB
2024-05-11T14:56:16.854540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile83.522
Maximum710
Range710
Interquartile range (IQR)0

Descriptive statistics

Standard deviation46.977238
Coefficient of variation (CV)3.5705122
Kurtosis79.818009
Mean13.157002
Median Absolute Deviation (MAD)0
Skewness7.2901585
Sum11236.08
Variance2206.8608
MonotonicityNot monotonic
2024-05-11T14:56:17.114985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 732
85.4%
33.0 9
 
1.1%
66.0 5
 
0.6%
82.5 4
 
0.5%
132.0 4
 
0.5%
39.6 3
 
0.4%
59.4 2
 
0.2%
60.0 2
 
0.2%
26.4 2
 
0.2%
72.6 2
 
0.2%
Other values (82) 89
 
10.4%
(Missing) 3
 
0.4%
ValueCountFrequency (%)
0.0 732
85.4%
12.1 1
 
0.1%
13.2 1
 
0.1%
20.0 2
 
0.2%
22.0 1
 
0.1%
23.1 1
 
0.1%
26.4 2
 
0.2%
27.0 1
 
0.1%
29.5 1
 
0.1%
29.7 2
 
0.2%
ValueCountFrequency (%)
710.0 1
0.1%
529.36 1
0.1%
316.0 1
0.1%
267.1 1
0.1%
266.3 2
0.2%
231.0 1
0.1%
223.04 1
0.1%
218.45 1
0.1%
199.0 1
0.1%
186.7 1
0.1%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)1.8%
Missing457
Missing (%)53.3%
Infinite0
Infinite (%)0.0%
Mean0.4325
Minimum0
Maximum6
Zeros317
Zeros (%)37.0%
Negative0
Negative (%)0.0%
Memory size7.7 KiB
2024-05-11T14:56:17.406723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.0039739
Coefficient of variation (CV)2.321327
Kurtosis6.7192729
Mean0.4325
Median Absolute Deviation (MAD)0
Skewness2.6205252
Sum173
Variance1.0079637
MonotonicityNot monotonic
2024-05-11T14:56:17.570736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 317
37.0%
1 35
 
4.1%
2 22
 
2.6%
3 13
 
1.5%
4 11
 
1.3%
6 1
 
0.1%
5 1
 
0.1%
(Missing) 457
53.3%
ValueCountFrequency (%)
0 317
37.0%
1 35
 
4.1%
2 22
 
2.6%
3 13
 
1.5%
4 11
 
1.3%
5 1
 
0.1%
6 1
 
0.1%
ValueCountFrequency (%)
6 1
 
0.1%
5 1
 
0.1%
4 11
 
1.3%
3 13
 
1.5%
2 22
 
2.6%
1 35
 
4.1%
0 317
37.0%

지하층수
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
<NA>
468 
0
346 
1
 
42
2
 
1

Length

Max length4
Median length4
Mean length2.638273
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 468
54.6%
0 346
40.4%
1 42
 
4.9%
2 1
 
0.1%

Length

2024-05-11T14:56:17.782157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:56:18.366476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 468
54.6%
0 346
40.4%
1 42
 
4.9%
2 1
 
0.1%

건물용도명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
<NA>
753 
근린생활시설
103 
유통시설
 
1

Length

Max length6
Median length4
Mean length4.2403734
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> 753
87.9%
근린생활시설 103
 
12.0%
유통시설 1
 
0.1%

Length

2024-05-11T14:56:18.611343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:56:18.826660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 753
87.9%
근린생활시설 103
 
12.0%
유통시설 1
 
0.1%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
<NA>
856 
0
 
1

Length

Max length4
Median length4
Mean length3.9964994
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 856
99.9%
0 1
 
0.1%

Length

2024-05-11T14:56:19.051651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:56:19.269170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 856
99.9%
0 1
 
0.1%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
<NA>
856 
0
 
1

Length

Max length4
Median length4
Mean length3.9964994
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 856
99.9%
0 1
 
0.1%

Length

2024-05-11T14:56:19.471064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:56:19.696518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 856
99.9%
0 1
 
0.1%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
<NA>
856 
0
 
1

Length

Max length4
Median length4
Mean length3.9964994
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 856
99.9%
0 1
 
0.1%

Length

2024-05-11T14:56:19.878047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:56:20.079137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 856
99.9%
0 1
 
0.1%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
<NA>
856 
0
 
1

Length

Max length4
Median length4
Mean length3.9964994
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 856
99.9%
0 1
 
0.1%

Length

2024-05-11T14:56:20.275617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:56:20.545623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 856
99.9%
0 1
 
0.1%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing857
Missing (%)100.0%
Memory size7.7 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing857
Missing (%)100.0%
Memory size7.7 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing857
Missing (%)100.0%
Memory size7.7 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing857
Missing (%)100.0%
Memory size7.7 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing857
Missing (%)100.0%
Memory size7.7 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing857
Missing (%)100.0%
Memory size7.7 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing857
Missing (%)100.0%
Memory size7.7 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing857
Missing (%)100.0%
Memory size7.7 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing857
Missing (%)100.0%
Memory size7.7 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing857
Missing (%)100.0%
Memory size7.7 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing857
Missing (%)100.0%
Memory size7.7 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
<NA>
856 
0
 
1

Length

Max length4
Median length4
Mean length3.9964994
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 856
99.9%
0 1
 
0.1%

Length

2024-05-11T14:56:20.756360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:56:20.962709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 856
99.9%
0 1
 
0.1%

기존게임업외업종명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing856
Missing (%)99.9%
Memory size6.8 KiB
2024-05-11T14:56:21.156189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length14
Min length14

Characters and Unicode

Total characters14
Distinct characters8
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row2000.12.31. 폐업
ValueCountFrequency (%)
2000.12.31 1
50.0%
폐업 1
50.0%
2024-05-11T14:56:21.585552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3
21.4%
. 3
21.4%
2 2
14.3%
1 2
14.3%
3 1
 
7.1%
1
 
7.1%
폐 1
 
7.1%
업 1
 
7.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8
57.1%
Other Punctuation 3
 
21.4%
Other Letter 2
 
14.3%
Space Separator 1
 
7.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3
37.5%
2 2
25.0%
1 2
25.0%
3 1
 
12.5%
Other Letter
ValueCountFrequency (%)
폐 1
50.0%
업 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12
85.7%
Hangul 2
 
14.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3
25.0%
. 3
25.0%
2 2
16.7%
1 2
16.7%
3 1
 
8.3%
1
 
8.3%
Hangul
ValueCountFrequency (%)
폐 1
50.0%
업 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12
85.7%
Hangul 2
 
14.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3
25.0%
. 3
25.0%
2 2
16.7%
1 2
16.7%
3 1
 
8.3%
1
 
8.3%
Hangul
ValueCountFrequency (%)
폐 1
50.0%
업 1
50.0%

제공게임물명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing855
Missing (%)99.8%
Memory size6.8 KiB
2024-05-11T14:56:21.808921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters10
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전체이용가
2nd row전체이용가
ValueCountFrequency (%)
전체이용가 2
100.0%
2024-05-11T14:56:22.247248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
전 2
20.0%
체 2
20.0%
이 2
20.0%
용 2
20.0%
가 2
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 2
20.0%
체 2
20.0%
이 2
20.0%
용 2
20.0%
가 2
20.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 2
20.0%
체 2
20.0%
이 2
20.0%
용 2
20.0%
가 2
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
전 2
20.0%
체 2
20.0%
이 2
20.0%
용 2
20.0%
가 2
20.0%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing857
Missing (%)100.0%
Memory size7.7 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing857
Missing (%)100.0%
Memory size7.7 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing857
Missing (%)100.0%
Memory size7.7 KiB

지역구분명
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing855
Missing (%)99.8%
Memory size6.8 KiB
2024-05-11T14:56:22.487788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters12
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row근린상업지역
2nd row중심상업지역
ValueCountFrequency (%)
근린상업지역 1
50.0%
중심상업지역 1
50.0%
2024-05-11T14:56:22.961955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
상 2
16.7%
업 2
16.7%
지 2
16.7%
역 2
16.7%
근 1
8.3%
린 1
8.3%
중 1
8.3%
심 1
8.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 2
16.7%
업 2
16.7%
지 2
16.7%
역 2
16.7%
근 1
8.3%
린 1
8.3%
중 1
8.3%
심 1
8.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 2
16.7%
업 2
16.7%
지 2
16.7%
역 2
16.7%
근 1
8.3%
린 1
8.3%
중 1
8.3%
심 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
상 2
16.7%
업 2
16.7%
지 2
16.7%
역 2
16.7%
근 1
8.3%
린 1
8.3%
중 1
8.3%
심 1
8.3%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03150000CDFF224103197500000119750510<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>157811서울특별시 강서구 공항동 22-11번지<NA><NA>삼나무용단2003-04-18 11:50:44I2018-08-31 23:59:59.0<NA><NA><NA>복합유통게임제공업유통관련업<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>
13150000CDFF224103197800000119780315<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>157801서울특별시 강서구 가양동 115번지<NA><NA>푸른장미2003-04-18 11:50:44I2018-08-31 23:59:59.0<NA><NA><NA>복합유통게임제공업유통관련업<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>
23150000CDFF224103197800000219780704<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>157836서울특별시 강서구 등촌동 400-54번지<NA><NA>치우와겁쟁이들2003-04-18 11:50:44I2018-08-31 23:59:59.0<NA><NA><NA>복합유통게임제공업유통관련업<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>
33150000CDFF224103197800000319780724<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>157030서울특별시 강서구 등촌동 154-82번지<NA><NA>천사의소리2003-04-18 11:50:44I2018-08-31 23:59:59.0<NA><NA><NA>복합유통게임제공업유통관련업<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>
43150000CDFF224103197900000119791213<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>157853서울특별시 강서구 방화동 633-1번지<NA><NA>홍성재악단2003-04-18 11:50:44I2018-08-31 23:59:59.0<NA><NA><NA>복합유통게임제공업유통관련업<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>
53150000CDFF224103198000000119800121<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>157812서울특별시 강서구 공항동 53-47번지서울특별시 강서구 송정로 48 (공항동)<NA>조영순악단2003-04-18 11:50:44I2018-08-31 23:59:59.0<NA>183193.203054450789.584501복합유통게임제공업유통관련업<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>
63150000CDFF224103198100000119810414<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>157859서울특별시 강서구 염창동 66-52번지<NA><NA>안대홍악단2003-04-18 11:50:44I2018-08-31 23:59:59.0<NA><NA><NA>복합유통게임제공업유통관련업<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>
73150000CDFF224103198100000219810624<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>157872서울특별시 강서구 화곡동 102-70번지서울특별시 강서구 강서로24길 58 (화곡동)<NA>김희갑악단2003-04-18 11:50:44I2018-08-31 23:59:59.0<NA>186311.867197448557.316797복합유통게임제공업유통관련업<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>
83150000CDFF224103198200000119820710<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>157853서울특별시 강서구 방화동 620-178번지서울특별시 강서구 방화동로3길 24 (방화동)<NA>극단 탈2003-04-18 11:50:44I2018-08-31 23:59:59.0<NA>183005.562938451247.556583복합유통게임제공업유통관련업<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>
93150000CDFF224103198200000219821125<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>157280서울특별시 강서구 내발산동 561-2번지 유림연립 A-201<NA><NA>봉고째즈음악회2003-04-18 11:50:44I2018-08-31 23:59:59.0<NA><NA><NA>복합유통게임제공업유통관련업<NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
8473150000CDFF224103200300001720030320<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA>157854서울특별시 강서구 방화동 712-1번지<NA><NA>(주)에듀코아2003-04-18 11:50:44I2018-08-31 23:59:59.0<NA>182735.786875451591.610814복합유통게임제공업유통관련업0<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>
8483150000CDFF224103200300001820030320<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA>157854서울특별시 강서구 방화동 712-1번지<NA><NA>(주)에듀코아2003-04-18 11:50:44I2018-08-31 23:59:59.0<NA>182735.786875451591.610814복합유통게임제공업유통관련업0<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>
8493150000CDFF224103200300001920031121<NA>4취소/말소/만료/정지/중지35직권말소20090109<NA><NA><NA>2658-2656<NA>157030서울특별시 강서구 등촌동 664-11번지서울특별시 강서구 화곡로61길 109 (등촌동)<NA>논스톱 PC 플스존2009-04-03 10:51:57I2018-08-31 23:59:59.0<NA>186351.2271450679.426432복합유통게임제공업유통관련업5기타<NA>169.241근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>근린상업지역
8503150000CDFF224103200600000120060727<NA>3폐업03폐업20071120<NA><NA><NA>2662-0726<NA>157822서울특별시 강서구 과해동 272번지 공항E-마트 3층<NA><NA>(주)시뮬라인 Joybox 1호점2007-11-20 10:00:44I2018-08-31 23:59:59.0<NA><NA><NA>복합유통게임제공업유통관련업3기타<NA>710.03<NA>유통시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>중심상업지역
8513150000CDFF224103200900000120090804<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 방화동 598-163번지서울특별시 강서구 방화동로 75, 지층 (방화동)7615클로비스2017-03-13 15:17:07I2018-08-31 23:59:59.0<NA>183371.245085451664.38199복합유통게임제공업유통관련업<NA><NA><NA>218.45<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8523150000CDFF224103201500000120150605<NA>4취소/말소/만료/정지/중지35직권말소20200512<NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 1095번지 그랜드아이파크서울특별시 강서구 화곡로 347, b1층 (화곡동, 그랜드아이파크)7649그랜드 게임존2020-05-14 10:11:20U2020-05-16 02:40:00.0<NA>186786.622462450297.702652복합유통게임제공업유통관련업<NA><NA><NA>46.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA>
8533150000CDFF224103201700000120170912<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 723-2 이천이프라자 지하1층서울특별시 강서구 공항대로 271, 이천이프라자 지하1층 (마곡동)7803브리즈 PC cafe 마곡점2021-07-13 15:17:22U2021-07-15 02:40:00.0<NA>185601.392687450753.25304복합유통게임제공업유통관련업0<NA>식품접객업529.3601<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
8543150000CDFF22410320180000012018-08-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 내발산동 689-1 수명산씨티서울특별시 강서구 강서로45길 174, 수명산씨티 지1층 (내발산동)7638맥스피드PC방2023-03-27 14:55:20U2022-12-02 22:09:00.0<NA>184959.607857450097.594794<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8553150000CDFF224103201900000120191231<NA>3폐업03폐업20210122<NA><NA><NA><NA><NA><NA>서울특별시 강서구 염창동 240-21 우림블루나인비즈니스센터서울특별시 강서구 양천로 583, 우림블루나인비즈니스센터 지층 113호 (염창동)7547Funny Cafe2021-01-22 17:24:05U2021-01-24 02:40:00.0<NA>187952.560028450562.020226복합유통게임제공업유통관련업<NA><NA>노래연습장업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA>
8563150000CDFF22410320220000012022-11-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 1111-3 경동엠파이어스테이트 201호서울특별시 강서구 화곡로 344, 경동엠파이어스테이트 201호 (화곡동)7653cafe 투웨이스 pc2023-12-14 15:48:18U2022-11-01 23:06:00.0<NA>186840.584718450236.064835<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>