Overview

Dataset statistics

Number of variables56
Number of observations335
Missing cells8082
Missing cells (%)43.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory158.8 KiB
Average record size in memory485.4 B

Variable types

Categorical16
Text6
DateTime4
Numeric10
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
Author중구
URLhttps://data.seoul.go.kr/dataList/OA-16793/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
데이터갱신구분 is highly imbalanced (63.9%)Imbalance
문화체육업종명 is highly imbalanced (56.5%)Imbalance
문화사업자구분명 is highly imbalanced (75.0%)Imbalance
주변환경명 is highly imbalanced (61.6%)Imbalance
지하층수 is highly imbalanced (70.6%)Imbalance
건물용도명 is highly imbalanced (78.1%)Imbalance
통로너비 is highly imbalanced (75.0%)Imbalance
조명시설조도 is highly imbalanced (75.0%)Imbalance
노래방실수 is highly imbalanced (75.0%)Imbalance
청소년실수 is highly imbalanced (75.0%)Imbalance
제공게임물명 is highly imbalanced (71.0%)Imbalance
지역구분명 is highly imbalanced (73.9%)Imbalance
인허가취소일자 has 286 (85.4%) missing valuesMissing
폐업일자 has 57 (17.0%) missing valuesMissing
휴업시작일자 has 335 (100.0%) missing valuesMissing
휴업종료일자 has 335 (100.0%) missing valuesMissing
재개업일자 has 335 (100.0%) missing valuesMissing
전화번호 has 249 (74.3%) missing valuesMissing
소재지면적 has 335 (100.0%) missing valuesMissing
소재지우편번호 has 45 (13.4%) missing valuesMissing
도로명주소 has 51 (15.2%) missing valuesMissing
도로명우편번호 has 293 (87.5%) missing valuesMissing
업태구분명 has 335 (100.0%) missing valuesMissing
좌표정보(X) has 14 (4.2%) missing valuesMissing
좌표정보(Y) has 14 (4.2%) missing valuesMissing
총층수 has 14 (4.2%) missing valuesMissing
제작취급품목내용 has 317 (94.6%) missing valuesMissing
시설면적 has 14 (4.2%) missing valuesMissing
지상층수 has 14 (4.2%) missing valuesMissing
비상계단여부 has 335 (100.0%) missing valuesMissing
비상구여부 has 335 (100.0%) missing valuesMissing
자동환기여부 has 335 (100.0%) missing valuesMissing
청소년실여부 has 335 (100.0%) missing valuesMissing
특수조명여부 has 335 (100.0%) missing valuesMissing
방음시설여부 has 335 (100.0%) missing valuesMissing
비디오재생기명 has 335 (100.0%) missing valuesMissing
조명시설유무 has 335 (100.0%) missing valuesMissing
음향시설여부 has 335 (100.0%) missing valuesMissing
편의시설여부 has 335 (100.0%) missing valuesMissing
소방시설여부 has 335 (100.0%) missing valuesMissing
총게임기수 has 14 (4.2%) missing valuesMissing
기존게임업외업종명 has 335 (100.0%) missing valuesMissing
공연장형태구분명 has 335 (100.0%) missing valuesMissing
품목명 has 335 (100.0%) missing valuesMissing
최초등록시점 has 335 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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 311 (92.8%) zerosZeros
시설면적 has 129 (38.5%) zerosZeros
지상층수 has 276 (82.4%) zerosZeros
총게임기수 has 172 (51.3%) zerosZeros

Reproduction

Analysis started2024-05-11 04:54:35.233327
Analysis finished2024-05-11 04:54:36.955466
Duration1.72 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
3010000
335 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3010000
2nd row3010000
3rd row3010000
4th row3010000
5th row3010000

Common Values

ValueCountFrequency (%)
3010000 335
100.0%

Length

2024-05-11T04:54:37.419719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:54:37.975877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3010000 335
100.0%

관리번호
Text

UNIQUE 

Distinct335
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-05-11T04:54:39.083599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters6700
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

Unique335 ?
Unique (%)100.0%

Sample

1st rowCDFF2241011965000001
2nd rowCDFF2241011974000001
3rd rowCDFF2241011985000001
4th rowCDFF2241011985000002
5th rowCDFF2241011985000003
ValueCountFrequency (%)
cdff2241011965000001 1
 
0.3%
cdff2241012005000012 1
 
0.3%
cdff2241012005000030 1
 
0.3%
cdff2241012005000029 1
 
0.3%
cdff2241012005000028 1
 
0.3%
cdff2241012005000027 1
 
0.3%
cdff2241012005000026 1
 
0.3%
cdff2241012005000025 1
 
0.3%
cdff2241012005000024 1
 
0.3%
cdff2241012005000023 1
 
0.3%
Other values (325) 325
97.0%
2024-05-11T04:54:40.932132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2296
34.3%
2 1069
16.0%
1 960
14.3%
F 670
 
10.0%
4 407
 
6.1%
C 335
 
5.0%
D 335
 
5.0%
9 219
 
3.3%
3 124
 
1.9%
6 85
 
1.3%
Other values (3) 200
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5360
80.0%
Uppercase Letter 1340
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2296
42.8%
2 1069
19.9%
1 960
17.9%
4 407
 
7.6%
9 219
 
4.1%
3 124
 
2.3%
6 85
 
1.6%
5 80
 
1.5%
8 65
 
1.2%
7 55
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
F 670
50.0%
C 335
25.0%
D 335
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5360
80.0%
Latin 1340
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2296
42.8%
2 1069
19.9%
1 960
17.9%
4 407
 
7.6%
9 219
 
4.1%
3 124
 
2.3%
6 85
 
1.6%
5 80
 
1.5%
8 65
 
1.2%
7 55
 
1.0%
Latin
ValueCountFrequency (%)
F 670
50.0%
C 335
25.0%
D 335
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6700
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2296
34.3%
2 1069
16.0%
1 960
14.3%
F 670
 
10.0%
4 407
 
6.1%
C 335
 
5.0%
D 335
 
5.0%
9 219
 
3.3%
3 124
 
1.9%
6 85
 
1.3%
Other values (3) 200
 
3.0%

인허가일자
Date

Distinct292
Distinct (%)87.2%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
Minimum1965-04-28 00:00:00
Maximum2024-04-19 00:00:00
2024-05-11T04:54:41.473212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:54:42.232517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)18.4%
Missing286
Missing (%)85.4%
Infinite0
Infinite (%)0.0%
Mean20068008
Minimum20021202
Maximum20071022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-05-11T04:54:42.851662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20021202
5-th percentile20052727
Q120070502
median20070502
Q320070906
95-th percentile20070906
Maximum20071022
Range49820
Interquartile range (IQR)404

Descriptive statistics

Standard deviation10627.982
Coefficient of variation (CV)0.00052959826
Kurtosis15.534639
Mean20068008
Median Absolute Deviation (MAD)0
Skewness-4.0464847
Sum9.8333237 × 108
Variance1.12954 × 108
MonotonicityNot monotonic
2024-05-11T04:54:43.441556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
20070502 26
 
7.8%
20070906 15
 
4.5%
20021202 2
 
0.6%
20070221 1
 
0.3%
20071022 1
 
0.3%
20070509 1
 
0.3%
20041130 1
 
0.3%
20070122 1
 
0.3%
20070323 1
 
0.3%
(Missing) 286
85.4%
ValueCountFrequency (%)
20021202 2
 
0.6%
20041130 1
 
0.3%
20070122 1
 
0.3%
20070221 1
 
0.3%
20070323 1
 
0.3%
20070502 26
7.8%
20070509 1
 
0.3%
20070906 15
4.5%
20071022 1
 
0.3%
ValueCountFrequency (%)
20071022 1
 
0.3%
20070906 15
4.5%
20070509 1
 
0.3%
20070502 26
7.8%
20070323 1
 
0.3%
20070221 1
 
0.3%
20070122 1
 
0.3%
20041130 1
 
0.3%
20021202 2
 
0.6%

영업상태코드
Categorical

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
3
224 
4
106 
1
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 224
66.9%
4 106
31.6%
1 5
 
1.5%

Length

2024-05-11T04:54:43.976056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:54:44.383509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 224
66.9%
4 106
31.6%
1 5
 
1.5%

영업상태명
Categorical

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
폐업
224 
취소/말소/만료/정지/중지
106 
영업/정상
 
5

Length

Max length14
Median length2
Mean length5.841791
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 224
66.9%
취소/말소/만료/정지/중지 106
31.6%
영업/정상 5
 
1.5%

Length

2024-05-11T04:54:44.962591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:54:45.443775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 224
66.9%
취소/말소/만료/정지/중지 106
31.6%
영업/정상 5
 
1.5%

상세영업상태코드
Real number (ℝ)

Distinct7
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.659701
Minimum3
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-05-11T04:54:45.997661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q13
median3
Q330
95-th percentile35
Maximum35
Range32
Interquartile range (IQR)27

Descriptive statistics

Standard deviation13.841187
Coefficient of variation (CV)1.0933265
Kurtosis-1.3319169
Mean12.659701
Median Absolute Deviation (MAD)0
Skewness0.78125604
Sum4241
Variance191.57846
MonotonicityNot monotonic
2024-05-11T04:54:46.355966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 222
66.3%
35 54
 
16.1%
30 48
 
14.3%
13 5
 
1.5%
31 2
 
0.6%
25 2
 
0.6%
34 2
 
0.6%
ValueCountFrequency (%)
3 222
66.3%
13 5
 
1.5%
25 2
 
0.6%
30 48
 
14.3%
31 2
 
0.6%
34 2
 
0.6%
35 54
 
16.1%
ValueCountFrequency (%)
35 54
 
16.1%
34 2
 
0.6%
31 2
 
0.6%
30 48
 
14.3%
25 2
 
0.6%
13 5
 
1.5%
3 222
66.3%

상세영업상태명
Categorical

Distinct7
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
폐업
222 
직권말소
54 
허가취소
48 
영업중
 
5
등록취소
 
2
Other values (2)
 
4

Length

Max length5
Median length2
Mean length2.6656716
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 222
66.3%
직권말소 54
 
16.1%
허가취소 48
 
14.3%
영업중 5
 
1.5%
등록취소 2
 
0.6%
영업정지 2
 
0.6%
영업장폐쇄 2
 
0.6%

Length

2024-05-11T04:54:46.894624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:54:47.392075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 222
66.3%
직권말소 54
 
16.1%
허가취소 48
 
14.3%
영업중 5
 
1.5%
등록취소 2
 
0.6%
영업정지 2
 
0.6%
영업장폐쇄 2
 
0.6%

폐업일자
Date

MISSING 

Distinct191
Distinct (%)68.7%
Missing57
Missing (%)17.0%
Memory size2.7 KiB
Minimum2001-12-31 00:00:00
Maximum2024-04-15 00:00:00
2024-05-11T04:54:47.857951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:54:48.499659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing335
Missing (%)100.0%
Memory size3.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing335
Missing (%)100.0%
Memory size3.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing335
Missing (%)100.0%
Memory size3.1 KiB

전화번호
Text

MISSING 

Distinct85
Distinct (%)98.8%
Missing249
Missing (%)74.3%
Memory size2.7 KiB
2024-05-11T04:54:49.698398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length8.872093
Min length8

Characters and Unicode

Total characters763
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique84 ?
Unique (%)97.7%

Sample

1st row2263-0213
2nd row2268-7909
3rd row2233-3710
4th row756-8951
5th row2254-1820
ValueCountFrequency (%)
2274-1616 2
 
2.3%
2285-2480 1
 
1.2%
362-7632 1
 
1.2%
2231-1199 1
 
1.2%
362-5830 1
 
1.2%
773-1570 1
 
1.2%
756-6338 1
 
1.2%
737-7897 1
 
1.2%
2234-1410 1
 
1.2%
2266-1154 1
 
1.2%
Other values (75) 75
87.2%
2024-05-11T04:54:51.045346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 160
21.0%
- 91
11.9%
6 74
9.7%
3 74
9.7%
7 70
9.2%
1 64
 
8.4%
5 52
 
6.8%
9 48
 
6.3%
0 46
 
6.0%
8 42
 
5.5%
Other values (2) 42
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 671
87.9%
Dash Punctuation 91
 
11.9%
Math Symbol 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 160
23.8%
6 74
11.0%
3 74
11.0%
7 70
10.4%
1 64
 
9.5%
5 52
 
7.7%
9 48
 
7.2%
0 46
 
6.9%
8 42
 
6.3%
4 41
 
6.1%
Dash Punctuation
ValueCountFrequency (%)
- 91
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 763
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 160
21.0%
- 91
11.9%
6 74
9.7%
3 74
9.7%
7 70
9.2%
1 64
 
8.4%
5 52
 
6.8%
9 48
 
6.3%
0 46
 
6.0%
8 42
 
5.5%
Other values (2) 42
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 763
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 160
21.0%
- 91
11.9%
6 74
9.7%
3 74
9.7%
7 70
9.2%
1 64
 
8.4%
5 52
 
6.8%
9 48
 
6.3%
0 46
 
6.0%
8 42
 
5.5%
Other values (2) 42
 
5.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing335
Missing (%)100.0%
Memory size3.1 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct70
Distinct (%)24.1%
Missing45
Missing (%)13.4%
Infinite0
Infinite (%)0.0%
Mean100543.16
Minimum100011
Maximum100897
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-05-11T04:54:51.570491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100011
5-th percentile100013
Q1100196
median100804
Q3100851
95-th percentile100873
Maximum100897
Range886
Interquartile range (IQR)655

Descriptive statistics

Standard deviation343.53506
Coefficient of variation (CV)0.0034167921
Kurtosis-1.6034564
Mean100543.16
Median Absolute Deviation (MAD)70
Skewness-0.38361357
Sum29157515
Variance118016.34
MonotonicityNot monotonic
2024-05-11T04:54:52.183382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100869 20
 
6.0%
100300 15
 
4.5%
100819 14
 
4.2%
100013 13
 
3.9%
100011 10
 
3.0%
100080 9
 
2.7%
100850 9
 
2.7%
100281 9
 
2.7%
100851 9
 
2.7%
100411 8
 
2.4%
Other values (60) 174
51.9%
(Missing) 45
 
13.4%
ValueCountFrequency (%)
100011 10
3.0%
100013 13
3.9%
100015 2
 
0.6%
100021 8
2.4%
100031 1
 
0.3%
100032 3
 
0.9%
100042 3
 
0.9%
100053 1
 
0.3%
100080 9
2.7%
100093 3
 
0.9%
ValueCountFrequency (%)
100897 1
 
0.3%
100891 1
 
0.3%
100887 3
 
0.9%
100886 1
 
0.3%
100879 1
 
0.3%
100874 5
 
1.5%
100873 4
 
1.2%
100872 1
 
0.3%
100871 1
 
0.3%
100869 20
6.0%

지번주소
Text

Distinct302
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-05-11T04:54:52.947905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length35
Mean length24.241791
Min length15

Characters and Unicode

Total characters8121
Distinct characters107
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

Unique275 ?
Unique (%)82.1%

Sample

1st row서울특별시 중구 인현동1가 101-1번지
2nd row서울특별시 중구 충무로4가 15-18번지 지상1층
3rd row서울특별시 중구 을지로6가 18-21번지
4th row서울특별시 중구 장충동2가 187-13번지
5th row서울특별시 중구 초동 40-10번지
ValueCountFrequency (%)
서울특별시 335
21.6%
중구 335
21.6%
신당동 49
 
3.2%
지상1층 45
 
2.9%
황학동 38
 
2.4%
을지로6가 32
 
2.1%
지하1층 22
 
1.4%
지상2층 21
 
1.4%
인현동1가 20
 
1.3%
2층 19
 
1.2%
Other values (335) 638
41.1%
2024-05-11T04:54:54.309062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1541
19.0%
지 497
 
6.1%
1 468
 
5.8%
중 345
 
4.2%
서 338
 
4.2%
울 336
 
4.1%
시 335
 
4.1%
구 335
 
4.1%
별 335
 
4.1%
특 335
 
4.1%
Other values (97) 3256
40.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4660
57.4%
Decimal Number 1592
 
19.6%
Space Separator 1541
 
19.0%
Dash Punctuation 293
 
3.6%
Close Punctuation 11
 
0.1%
Open Punctuation 11
 
0.1%
Other Punctuation 9
 
0.1%
Uppercase Letter 3
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 497
 
10.7%
중 345
 
7.4%
서 338
 
7.3%
울 336
 
7.2%
시 335
 
7.2%
구 335
 
7.2%
별 335
 
7.2%
특 335
 
7.2%
번 316
 
6.8%
동 230
 
4.9%
Other values (79) 1258
27.0%
Decimal Number
ValueCountFrequency (%)
1 468
29.4%
2 279
17.5%
3 174
 
10.9%
0 130
 
8.2%
5 108
 
6.8%
6 107
 
6.7%
7 106
 
6.7%
4 95
 
6.0%
9 63
 
4.0%
8 62
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
A 2
66.7%
B 1
33.3%
Space Separator
ValueCountFrequency (%)
1541
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 293
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Other Punctuation
ValueCountFrequency (%)
, 9
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4660
57.4%
Common 3458
42.6%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 497
 
10.7%
중 345
 
7.4%
서 338
 
7.3%
울 336
 
7.2%
시 335
 
7.2%
구 335
 
7.2%
별 335
 
7.2%
특 335
 
7.2%
번 316
 
6.8%
동 230
 
4.9%
Other values (79) 1258
27.0%
Common
ValueCountFrequency (%)
1541
44.6%
1 468
 
13.5%
- 293
 
8.5%
2 279
 
8.1%
3 174
 
5.0%
0 130
 
3.8%
5 108
 
3.1%
6 107
 
3.1%
7 106
 
3.1%
4 95
 
2.7%
Other values (6) 157
 
4.5%
Latin
ValueCountFrequency (%)
A 2
66.7%
B 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4660
57.4%
ASCII 3461
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1541
44.5%
1 468
 
13.5%
- 293
 
8.5%
2 279
 
8.1%
3 174
 
5.0%
0 130
 
3.8%
5 108
 
3.1%
6 107
 
3.1%
7 106
 
3.1%
4 95
 
2.7%
Other values (8) 160
 
4.6%
Hangul
ValueCountFrequency (%)
지 497
 
10.7%
중 345
 
7.4%
서 338
 
7.3%
울 336
 
7.2%
시 335
 
7.2%
구 335
 
7.2%
별 335
 
7.2%
특 335
 
7.2%
번 316
 
6.8%
동 230
 
4.9%
Other values (79) 1258
27.0%

도로명주소
Text

MISSING 

Distinct244
Distinct (%)85.9%
Missing51
Missing (%)15.2%
Memory size2.7 KiB
2024-05-11T04:54:55.209704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length39
Mean length28.330986
Min length21

Characters and Unicode

Total characters8046
Distinct characters123
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

Unique219 ?
Unique (%)77.1%

Sample

1st row서울특별시 중구 마른내로 53 (인현동1가)
2nd row서울특별시 중구 장충단로 247 (을지로6가)
3rd row서울특별시 중구 동호로24길 23 (장충동2가)
4th row서울특별시 중구 충무로 25-1 (초동)
5th row서울특별시 중구 다산로8길 11 (신당동)
ValueCountFrequency (%)
서울특별시 284
 
18.8%
중구 284
 
18.8%
퇴계로 67
 
4.4%
황학동 23
 
1.5%
신당동 23
 
1.5%
마른내로 22
 
1.5%
지하1층 16
 
1.1%
을지로6가 16
 
1.1%
충무로 15
 
1.0%
2층 15
 
1.0%
Other values (354) 742
49.2%
2024-05-11T04:54:56.516245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1469
 
18.3%
1 350
 
4.3%
로 344
 
4.3%
중 296
 
3.7%
서 293
 
3.6%
) 293
 
3.6%
( 293
 
3.6%
시 287
 
3.6%
울 285
 
3.5%
구 284
 
3.5%
Other values (113) 3852
47.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4540
56.4%
Space Separator 1469
 
18.3%
Decimal Number 1214
 
15.1%
Close Punctuation 293
 
3.6%
Open Punctuation 293
 
3.6%
Other Punctuation 173
 
2.2%
Dash Punctuation 60
 
0.7%
Uppercase Letter 3
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 344
 
7.6%
중 296
 
6.5%
서 293
 
6.5%
시 287
 
6.3%
울 285
 
6.3%
구 284
 
6.3%
별 284
 
6.3%
특 284
 
6.3%
동 237
 
5.2%
지 201
 
4.4%
Other values (95) 1745
38.4%
Decimal Number
ValueCountFrequency (%)
1 350
28.8%
2 247
20.3%
4 142
11.7%
3 134
 
11.0%
5 78
 
6.4%
6 69
 
5.7%
0 63
 
5.2%
9 55
 
4.5%
8 45
 
3.7%
7 31
 
2.6%
Uppercase Letter
ValueCountFrequency (%)
A 2
66.7%
B 1
33.3%
Space Separator
ValueCountFrequency (%)
1469
100.0%
Close Punctuation
ValueCountFrequency (%)
) 293
100.0%
Open Punctuation
ValueCountFrequency (%)
( 293
100.0%
Other Punctuation
ValueCountFrequency (%)
, 173
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4540
56.4%
Common 3503
43.5%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 344
 
7.6%
중 296
 
6.5%
서 293
 
6.5%
시 287
 
6.3%
울 285
 
6.3%
구 284
 
6.3%
별 284
 
6.3%
특 284
 
6.3%
동 237
 
5.2%
지 201
 
4.4%
Other values (95) 1745
38.4%
Common
ValueCountFrequency (%)
1469
41.9%
1 350
 
10.0%
) 293
 
8.4%
( 293
 
8.4%
2 247
 
7.1%
, 173
 
4.9%
4 142
 
4.1%
3 134
 
3.8%
5 78
 
2.2%
6 69
 
2.0%
Other values (6) 255
 
7.3%
Latin
ValueCountFrequency (%)
A 2
66.7%
B 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4540
56.4%
ASCII 3506
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1469
41.9%
1 350
 
10.0%
) 293
 
8.4%
( 293
 
8.4%
2 247
 
7.0%
, 173
 
4.9%
4 142
 
4.1%
3 134
 
3.8%
5 78
 
2.2%
6 69
 
2.0%
Other values (8) 258
 
7.4%
Hangul
ValueCountFrequency (%)
로 344
 
7.6%
중 296
 
6.5%
서 293
 
6.5%
시 287
 
6.3%
울 285
 
6.3%
구 284
 
6.3%
별 284
 
6.3%
특 284
 
6.3%
동 237
 
5.2%
지 201
 
4.4%
Other values (95) 1745
38.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)26.2%
Missing293
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean18279.738
Minimum4528
Maximum100869
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-05-11T04:54:56.963477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4528
5-th percentile4556
Q14561
median4576
Q34576.75
95-th percentile100792.1
Maximum100869
Range96341
Interquartile range (IQR)15.75

Descriptive statistics

Standard deviation33995.05
Coefficient of variation (CV)1.8597121
Kurtosis2.6066367
Mean18279.738
Median Absolute Deviation (MAD)6
Skewness2.1176851
Sum767749
Variance1.1556635 × 109
MonotonicityNot monotonic
2024-05-11T04:54:57.354430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
4576 12
 
3.6%
4556 8
 
2.4%
4577 5
 
1.5%
4570 5
 
1.5%
4561 3
 
0.9%
100281 2
 
0.6%
100869 2
 
0.6%
4564 2
 
0.6%
100819 1
 
0.3%
100196 1
 
0.3%
(Missing) 293
87.5%
ValueCountFrequency (%)
4528 1
 
0.3%
4556 8
2.4%
4561 3
 
0.9%
4564 2
 
0.6%
4570 5
1.5%
4576 12
3.6%
4577 5
1.5%
100196 1
 
0.3%
100281 2
 
0.6%
100819 1
 
0.3%
ValueCountFrequency (%)
100869 2
 
0.6%
100819 1
 
0.3%
100281 2
 
0.6%
100196 1
 
0.3%
4577 5
1.5%
4576 12
3.6%
4570 5
1.5%
4564 2
 
0.6%
4561 3
 
0.9%
4556 8
2.4%

사업장명
Text

Distinct289
Distinct (%)86.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-05-11T04:54:58.003859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length4.5880597
Min length1

Characters and Unicode

Total characters1537
Distinct characters248
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique258 ?
Unique (%)77.0%

Sample

1st row뉴월드
2nd row오성
3rd row계림
4th row장충
5th row대한
ValueCountFrequency (%)
게임랜드 25
 
6.5%
게임장 9
 
2.4%
중앙 5
 
1.3%
신세계 4
 
1.0%
종합게임랜드 4
 
1.0%
종합 3
 
0.8%
우리게임장 3
 
0.8%
우리 3
 
0.8%
오락실 3
 
0.8%
충무 3
 
0.8%
Other values (276) 320
83.8%
2024-05-11T04:54:59.528071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
임 145
 
9.4%
게 141
 
9.2%
드 111
 
7.2%
랜 82
 
5.3%
장 56
 
3.6%
47
 
3.1%
스 38
 
2.5%
세 22
 
1.4%
오 22
 
1.4%
이 22
 
1.4%
Other values (238) 851
55.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1431
93.1%
Space Separator 47
 
3.1%
Decimal Number 36
 
2.3%
Uppercase Letter 10
 
0.7%
Close Punctuation 6
 
0.4%
Open Punctuation 6
 
0.4%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
임 145
 
10.1%
게 141
 
9.9%
드 111
 
7.8%
랜 82
 
5.7%
장 56
 
3.9%
스 38
 
2.7%
세 22
 
1.5%
오 22
 
1.5%
이 22
 
1.5%
리 20
 
1.4%
Other values (220) 772
53.9%
Uppercase Letter
ValueCountFrequency (%)
N 2
20.0%
L 2
20.0%
I 1
10.0%
P 1
10.0%
V 1
10.0%
A 1
10.0%
G 1
10.0%
C 1
10.0%
Decimal Number
ValueCountFrequency (%)
2 15
41.7%
0 8
22.2%
1 7
19.4%
7 3
 
8.3%
4 2
 
5.6%
6 1
 
2.8%
Space Separator
ValueCountFrequency (%)
47
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Other Punctuation
ValueCountFrequency (%)
? 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1431
93.1%
Common 96
 
6.2%
Latin 10
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
임 145
 
10.1%
게 141
 
9.9%
드 111
 
7.8%
랜 82
 
5.7%
장 56
 
3.9%
스 38
 
2.7%
세 22
 
1.5%
오 22
 
1.5%
이 22
 
1.5%
리 20
 
1.4%
Other values (220) 772
53.9%
Common
ValueCountFrequency (%)
47
49.0%
2 15
 
15.6%
0 8
 
8.3%
1 7
 
7.3%
) 6
 
6.2%
( 6
 
6.2%
7 3
 
3.1%
4 2
 
2.1%
6 1
 
1.0%
? 1
 
1.0%
Latin
ValueCountFrequency (%)
N 2
20.0%
L 2
20.0%
I 1
10.0%
P 1
10.0%
V 1
10.0%
A 1
10.0%
G 1
10.0%
C 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1431
93.1%
ASCII 106
 
6.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
임 145
 
10.1%
게 141
 
9.9%
드 111
 
7.8%
랜 82
 
5.7%
장 56
 
3.9%
스 38
 
2.7%
세 22
 
1.5%
오 22
 
1.5%
이 22
 
1.5%
리 20
 
1.4%
Other values (220) 772
53.9%
ASCII
ValueCountFrequency (%)
47
44.3%
2 15
 
14.2%
0 8
 
7.5%
1 7
 
6.6%
) 6
 
5.7%
( 6
 
5.7%
7 3
 
2.8%
N 2
 
1.9%
4 2
 
1.9%
L 2
 
1.9%
Other values (8) 8
 
7.5%

최종수정일자
Date

Distinct306
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
Minimum2003-02-11 18:21:03
Maximum2024-04-19 10:03:50
2024-05-11T04:54:59.971141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:55:00.469411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
I
312 
U
 
23

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 312
93.1%
U 23
 
6.9%

Length

2024-05-11T04:55:00.861580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:55:01.185188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 312
93.1%
u 23
 
6.9%

데이터갱신일자
Date

Distinct21
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:09:00
2024-05-11T04:55:01.549562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:55:01.975348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing335
Missing (%)100.0%
Memory size3.1 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct218
Distinct (%)67.9%
Missing14
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean199738.06
Minimum196655.58
Maximum201797.87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-05-11T04:55:02.598722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum196655.58
5-th percentile197650.54
Q1198556.14
median199447.95
Q3201040.35
95-th percentile201705.77
Maximum201797.87
Range5142.2904
Interquartile range (IQR)2484.211

Descriptive statistics

Standard deviation1405.7589
Coefficient of variation (CV)0.0070380121
Kurtosis-1.1920717
Mean199738.06
Median Absolute Deviation (MAD)1216.6316
Skewness-0.086509285
Sum64115919
Variance1976158.1
MonotonicityNot monotonic
2024-05-11T04:55:03.244888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
199345.537896557 10
 
3.0%
200613.510297669 9
 
2.7%
201493.81751023 8
 
2.4%
201641.949472016 7
 
2.1%
201503.849104738 6
 
1.8%
201775.039015385 5
 
1.5%
200488.771189305 4
 
1.2%
200439.916629279 4
 
1.2%
201686.07376784 4
 
1.2%
199336.009340872 4
 
1.2%
Other values (208) 260
77.6%
(Missing) 14
 
4.2%
ValueCountFrequency (%)
196655.581895878 1
 
0.3%
196691.269917831 1
 
0.3%
196743.854095597 1
 
0.3%
196792.629308816 1
 
0.3%
196957.591458473 1
 
0.3%
197156.145532304 1
 
0.3%
197181.850707674 1
 
0.3%
197196.803121197 3
0.9%
197199.98375752 1
 
0.3%
197503.780333333 1
 
0.3%
ValueCountFrequency (%)
201797.872285138 1
 
0.3%
201794.550077219 1
 
0.3%
201775.039015385 5
1.5%
201766.354547281 2
 
0.6%
201724.457772645 3
0.9%
201716.339036988 2
 
0.6%
201705.769286789 3
0.9%
201691.903143786 1
 
0.3%
201686.07376784 4
1.2%
201658.268763917 1
 
0.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct218
Distinct (%)67.9%
Missing14
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean451247.53
Minimum450077.63
Maximum451945.76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-05-11T04:55:03.861235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum450077.63
5-th percentile450559.54
Q1451021.05
median451328.89
Q3451514.04
95-th percentile451817.52
Maximum451945.76
Range1868.1282
Interquartile range (IQR)492.98955

Descriptive statistics

Standard deviation379.82354
Coefficient of variation (CV)0.00084171883
Kurtosis0.35823245
Mean451247.53
Median Absolute Deviation (MAD)189.95497
Skewness-0.79339894
Sum1.4485046 × 108
Variance144265.92
MonotonicityNot monotonic
2024-05-11T04:55:04.492778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
451328.888559506 10
 
3.0%
451817.515366883 9
 
2.7%
451443.482518591 8
 
2.4%
451512.743350597 7
 
2.1%
451514.040508282 6
 
1.8%
451516.771445834 5
 
1.5%
451524.878308043 4
 
1.2%
451538.771934523 4
 
1.2%
451520.650686027 4
 
1.2%
451201.823851272 4
 
1.2%
Other values (208) 260
77.6%
(Missing) 14
 
4.2%
ValueCountFrequency (%)
450077.627204846 1
0.3%
450100.127638921 1
0.3%
450131.890199294 1
0.3%
450242.717073989 1
0.3%
450256.963753518 1
0.3%
450275.399989343 2
0.6%
450289.83533661 2
0.6%
450297.447516002 1
0.3%
450306.640017588 1
0.3%
450340.176926109 1
0.3%
ValueCountFrequency (%)
451945.75542127 3
 
0.9%
451894.158889651 1
 
0.3%
451892.393411268 1
 
0.3%
451877.872947748 1
 
0.3%
451852.142613352 1
 
0.3%
451841.871837429 1
 
0.3%
451836.458256618 1
 
0.3%
451817.515366883 9
2.7%
451784.175279872 1
 
0.3%
451781.8683954 2
 
0.6%

문화체육업종명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
게임제공업
290 
일반게임제공업
31 
<NA>
 
14

Length

Max length7
Median length5
Mean length5.1432836
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
게임제공업 290
86.6%
일반게임제공업 31
 
9.3%
<NA> 14
 
4.2%

Length

2024-05-11T04:55:05.098279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:55:05.643006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
게임제공업 290
86.6%
일반게임제공업 31
 
9.3%
na 14
 
4.2%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
유통관련업
321 
<NA>
 
14

Length

Max length5
Median length5
Mean length4.958209
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 321
95.8%
<NA> 14
 
4.2%

Length

2024-05-11T04:55:06.084308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:55:06.592862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 321
95.8%
na 14
 
4.2%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)2.2%
Missing14
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean0.13707165
Minimum0
Maximum10
Zeros311
Zeros (%)92.8%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-05-11T04:55:07.102423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8838284
Coefficient of variation (CV)6.4479299
Kurtosis67.127889
Mean0.13707165
Median Absolute Deviation (MAD)0
Skewness7.7356352
Sum44
Variance0.78115265
MonotonicityNot monotonic
2024-05-11T04:55:07.593526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 311
92.8%
6 3
 
0.9%
3 3
 
0.9%
10 1
 
0.3%
1 1
 
0.3%
2 1
 
0.3%
4 1
 
0.3%
(Missing) 14
 
4.2%
ValueCountFrequency (%)
0 311
92.8%
1 1
 
0.3%
2 1
 
0.3%
3 3
 
0.9%
4 1
 
0.3%
6 3
 
0.9%
10 1
 
0.3%
ValueCountFrequency (%)
10 1
 
0.3%
6 3
 
0.9%
4 1
 
0.3%
3 3
 
0.9%
2 1
 
0.3%
1 1
 
0.3%
0 311
92.8%

주변환경명
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
264 
기타
53 
유흥업소밀집지역
 
12
학교정화(절대)
 
3
주택가주변
 
2

Length

Max length8
Median length4
Mean length3.880597
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 264
78.8%
기타 53
 
15.8%
유흥업소밀집지역 12
 
3.6%
학교정화(절대) 3
 
0.9%
주택가주변 2
 
0.6%
학교정화(상대) 1
 
0.3%

Length

2024-05-11T04:55:08.098796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:55:08.582695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 264
78.8%
기타 53
 
15.8%
유흥업소밀집지역 12
 
3.6%
학교정화(절대 3
 
0.9%
주택가주변 2
 
0.6%
학교정화(상대 1
 
0.3%

제작취급품목내용
Text

MISSING 

Distinct13
Distinct (%)72.2%
Missing317
Missing (%)94.6%
Memory size2.7 KiB
2024-05-11T04:55:09.355361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length44
Mean length11.777778
Min length4

Characters and Unicode

Total characters212
Distinct characters84
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)61.1%

Sample

1st row원모아타임탑
2nd row드래곤 에어
3rd row드림캐슬
4th row씨포커(50디)
5th row황금포커성
ValueCountFrequency (%)
아케이드게임 5
 
17.2%
게임 2
 
6.9%
아케이드 2
 
6.9%
20대 1
 
3.4%
불타는불새2:100대 1
 
3.4%
불타는불새,수퍼드래곤,화신성,기가포커,은하철도,로얄고도리,깜깜이,필슬롯,매직볼,황금용 1
 
3.4%
carnival 1
 
3.4%
카니발(sea 1
 
3.4%
씨 1
 
3.4%
120대 1
 
3.4%
Other values (13) 13
44.8%
2024-05-11T04:55:10.394877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 12
 
5.7%
드 12
 
5.7%
11
 
5.2%
아 8
 
3.8%
이 8
 
3.8%
임 8
 
3.8%
0 8
 
3.8%
게 7
 
3.3%
대 7
 
3.3%
케 7
 
3.3%
Other values (74) 124
58.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 149
70.3%
Decimal Number 19
 
9.0%
Other Punctuation 16
 
7.5%
Uppercase Letter 13
 
6.1%
Space Separator 11
 
5.2%
Close Punctuation 2
 
0.9%
Open Punctuation 2
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
드 12
 
8.1%
아 8
 
5.4%
이 8
 
5.4%
임 8
 
5.4%
게 7
 
4.7%
대 7
 
4.7%
케 7
 
4.7%
불 6
 
4.0%
커 4
 
2.7%
타 4
 
2.7%
Other values (52) 78
52.3%
Uppercase Letter
ValueCountFrequency (%)
A 3
23.1%
M 1
 
7.7%
K 1
 
7.7%
S 1
 
7.7%
E 1
 
7.7%
C 1
 
7.7%
R 1
 
7.7%
N 1
 
7.7%
I 1
 
7.7%
V 1
 
7.7%
Decimal Number
ValueCountFrequency (%)
0 8
42.1%
2 5
26.3%
3 2
 
10.5%
1 2
 
10.5%
4 1
 
5.3%
5 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 12
75.0%
: 4
 
25.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 149
70.3%
Common 50
 
23.6%
Latin 13
 
6.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
드 12
 
8.1%
아 8
 
5.4%
이 8
 
5.4%
임 8
 
5.4%
게 7
 
4.7%
대 7
 
4.7%
케 7
 
4.7%
불 6
 
4.0%
커 4
 
2.7%
타 4
 
2.7%
Other values (52) 78
52.3%
Common
ValueCountFrequency (%)
, 12
24.0%
11
22.0%
0 8
16.0%
2 5
10.0%
: 4
 
8.0%
3 2
 
4.0%
1 2
 
4.0%
) 2
 
4.0%
( 2
 
4.0%
4 1
 
2.0%
Latin
ValueCountFrequency (%)
A 3
23.1%
M 1
 
7.7%
K 1
 
7.7%
S 1
 
7.7%
E 1
 
7.7%
C 1
 
7.7%
R 1
 
7.7%
N 1
 
7.7%
I 1
 
7.7%
V 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 149
70.3%
ASCII 63
29.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 12
19.0%
11
17.5%
0 8
12.7%
2 5
7.9%
: 4
 
6.3%
A 3
 
4.8%
3 2
 
3.2%
1 2
 
3.2%
) 2
 
3.2%
( 2
 
3.2%
Other values (12) 12
19.0%
Hangul
ValueCountFrequency (%)
드 12
 
8.1%
아 8
 
5.4%
이 8
 
5.4%
임 8
 
5.4%
게 7
 
4.7%
대 7
 
4.7%
케 7
 
4.7%
불 6
 
4.0%
커 4
 
2.7%
타 4
 
2.7%
Other values (52) 78
52.3%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct163
Distinct (%)50.8%
Missing14
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean89.124642
Minimum0
Maximum823.15
Zeros129
Zeros (%)38.5%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-05-11T04:55:10.888143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median61.6
Q3145.2
95-th percentile273.04
Maximum823.15
Range823.15
Interquartile range (IQR)145.2

Descriptive statistics

Standard deviation109.05067
Coefficient of variation (CV)1.2235749
Kurtosis6.8858586
Mean89.124642
Median Absolute Deviation (MAD)61.6
Skewness1.9526857
Sum28609.01
Variance11892.049
MonotonicityNot monotonic
2024-05-11T04:55:11.318926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 129
38.5%
215.77 5
 
1.5%
228.83 4
 
1.2%
323.17 3
 
0.9%
157.42 3
 
0.9%
247.27 3
 
0.9%
195.65 3
 
0.9%
201.65 3
 
0.9%
74.12 2
 
0.6%
45.0 2
 
0.6%
Other values (153) 164
49.0%
(Missing) 14
 
4.2%
ValueCountFrequency (%)
0.0 129
38.5%
22.5 1
 
0.3%
23.14 1
 
0.3%
26.73 1
 
0.3%
31.9 1
 
0.3%
32.8 1
 
0.3%
36.0 1
 
0.3%
38.88 1
 
0.3%
39.67 1
 
0.3%
40.76 1
 
0.3%
ValueCountFrequency (%)
823.15 1
 
0.3%
492.46 1
 
0.3%
480.98 1
 
0.3%
439.05 2
0.6%
416.34 1
 
0.3%
370.35 1
 
0.3%
348.03 1
 
0.3%
346.31 1
 
0.3%
323.17 3
0.9%
317.04 1
 
0.3%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)3.7%
Missing14
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean0.47663551
Minimum0
Maximum23
Zeros276
Zeros (%)82.4%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-05-11T04:55:11.681707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum23
Range23
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.9637932
Coefficient of variation (CV)4.1201151
Kurtosis67.247799
Mean0.47663551
Median Absolute Deviation (MAD)0
Skewness7.3558645
Sum153
Variance3.8564836
MonotonicityNot monotonic
2024-05-11T04:55:12.201820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 276
82.4%
2 18
 
5.4%
1 14
 
4.2%
3 4
 
1.2%
6 2
 
0.6%
9 1
 
0.3%
5 1
 
0.3%
14 1
 
0.3%
13 1
 
0.3%
8 1
 
0.3%
Other values (2) 2
 
0.6%
(Missing) 14
 
4.2%
ValueCountFrequency (%)
0 276
82.4%
1 14
 
4.2%
2 18
 
5.4%
3 4
 
1.2%
5 1
 
0.3%
6 2
 
0.6%
7 1
 
0.3%
8 1
 
0.3%
9 1
 
0.3%
13 1
 
0.3%
ValueCountFrequency (%)
23 1
 
0.3%
14 1
 
0.3%
13 1
 
0.3%
9 1
 
0.3%
8 1
 
0.3%
7 1
 
0.3%
6 2
 
0.6%
5 1
 
0.3%
3 4
 
1.2%
2 18
5.4%

지하층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
0
302 
1
 
17
<NA>
 
14
2
 
2

Length

Max length4
Median length1
Mean length1.1253731
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 302
90.1%
1 17
 
5.1%
<NA> 14
 
4.2%
2 2
 
0.6%

Length

2024-05-11T04:55:12.719948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:55:13.082959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 302
90.1%
1 17
 
5.1%
na 14
 
4.2%
2 2
 
0.6%

건물용도명
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
309 
근린생활시설
 
14
판매시설
 
9
기타
 
2
환경위생시설
 
1

Length

Max length6
Median length4
Mean length4.0776119
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 309
92.2%
근린생활시설 14
 
4.2%
판매시설 9
 
2.7%
기타 2
 
0.6%
환경위생시설 1
 
0.3%

Length

2024-05-11T04:55:13.610005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:55:14.002502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 309
92.2%
근린생활시설 14
 
4.2%
판매시설 9
 
2.7%
기타 2
 
0.6%
환경위생시설 1
 
0.3%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
0
321 
<NA>
 
14

Length

Max length4
Median length1
Mean length1.1253731
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 321
95.8%
<NA> 14
 
4.2%

Length

2024-05-11T04:55:14.537524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:55:14.918219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 321
95.8%
na 14
 
4.2%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
0
321 
<NA>
 
14

Length

Max length4
Median length1
Mean length1.1253731
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 321
95.8%
<NA> 14
 
4.2%

Length

2024-05-11T04:55:15.289469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:55:15.740381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 321
95.8%
na 14
 
4.2%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
0
321 
<NA>
 
14

Length

Max length4
Median length1
Mean length1.1253731
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 321
95.8%
<NA> 14
 
4.2%

Length

2024-05-11T04:55:16.243472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:55:16.558258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 321
95.8%
na 14
 
4.2%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
0
321 
<NA>
 
14

Length

Max length4
Median length1
Mean length1.1253731
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 321
95.8%
<NA> 14
 
4.2%

Length

2024-05-11T04:55:17.239832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:55:17.638491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 321
95.8%
na 14
 
4.2%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing335
Missing (%)100.0%
Memory size3.1 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing335
Missing (%)100.0%
Memory size3.1 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing335
Missing (%)100.0%
Memory size3.1 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing335
Missing (%)100.0%
Memory size3.1 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing335
Missing (%)100.0%
Memory size3.1 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing335
Missing (%)100.0%
Memory size3.1 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing335
Missing (%)100.0%
Memory size3.1 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing335
Missing (%)100.0%
Memory size3.1 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing335
Missing (%)100.0%
Memory size3.1 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing335
Missing (%)100.0%
Memory size3.1 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing335
Missing (%)100.0%
Memory size3.1 KiB

총게임기수
Real number (ℝ)

MISSING  ZEROS 

Distinct73
Distinct (%)22.7%
Missing14
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean28.719626
Minimum0
Maximum248
Zeros172
Zeros (%)51.3%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-05-11T04:55:18.011780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q350
95-th percentile118
Maximum248
Range248
Interquartile range (IQR)50

Descriptive statistics

Standard deviation42.935008
Coefficient of variation (CV)1.494971
Kurtosis4.9209071
Mean28.719626
Median Absolute Deviation (MAD)0
Skewness1.9953833
Sum9219
Variance1843.4149
MonotonicityNot monotonic
2024-05-11T04:55:18.507690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 172
51.3%
51 12
 
3.6%
20 9
 
2.7%
50 7
 
2.1%
118 5
 
1.5%
35 4
 
1.2%
30 4
 
1.2%
86 4
 
1.2%
102 4
 
1.2%
67 4
 
1.2%
Other values (63) 96
28.7%
(Missing) 14
 
4.2%
ValueCountFrequency (%)
0 172
51.3%
10 2
 
0.6%
12 3
 
0.9%
15 2
 
0.6%
16 2
 
0.6%
17 3
 
0.9%
18 1
 
0.3%
19 1
 
0.3%
20 9
 
2.7%
21 1
 
0.3%
ValueCountFrequency (%)
248 1
0.3%
232 1
0.3%
223 1
0.3%
190 1
0.3%
169 1
0.3%
160 1
0.3%
149 1
0.3%
134 2
0.6%
121 1
0.3%
120 2
0.6%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing335
Missing (%)100.0%
Memory size3.1 KiB

제공게임물명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
299 
청소년이용불가
30 
전체이용가
 
3
전체이용가 및 청소년이용불가
 
3

Length

Max length15
Median length4
Mean length4.3761194
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> 299
89.3%
청소년이용불가 30
 
9.0%
전체이용가 3
 
0.9%
전체이용가 및 청소년이용불가 3
 
0.9%

Length

2024-05-11T04:55:19.179616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:55:19.829077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 299
87.7%
청소년이용불가 33
 
9.7%
전체이용가 6
 
1.8%
및 3
 
0.9%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing335
Missing (%)100.0%
Memory size3.1 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing335
Missing (%)100.0%
Memory size3.1 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing335
Missing (%)100.0%
Memory size3.1 KiB

지역구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
297 
상업지역
 
23
일반상업지역
 
11
중심상업지역
 
2
근린상업지역
 
1

Length

Max length6
Median length4
Mean length4.0895522
Min length4

Unique

Unique2 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 297
88.7%
상업지역 23
 
6.9%
일반상업지역 11
 
3.3%
중심상업지역 2
 
0.6%
근린상업지역 1
 
0.3%
일반주거지역 1
 
0.3%

Length

2024-05-11T04:55:20.356176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:55:20.910259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 297
88.7%
상업지역 23
 
6.9%
일반상업지역 11
 
3.3%
중심상업지역 2
 
0.6%
근린상업지역 1
 
0.3%
일반주거지역 1
 
0.3%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03010000CDFF224101196500000119650428<NA>3폐업3폐업20060228<NA><NA><NA><NA><NA>100281서울특별시 중구 인현동1가 101-1번지서울특별시 중구 마른내로 53 (인현동1가)<NA>뉴월드2006-02-28 16:41:21I2018-08-31 23:59:59.0<NA>199375.457122451359.013752게임제공업유통관련업0기타<NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
13010000CDFF224101197400000119740128<NA>3폐업3폐업20040728<NA><NA><NA><NA><NA>100863서울특별시 중구 충무로4가 15-18번지 지상1층<NA><NA>오성2004-07-31 10:39:32I2018-08-31 23:59:59.0<NA>199447.951368451139.119066게임제공업유통관련업0기타<NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
23010000CDFF224101198500000119850607<NA>3폐업3폐업20020221<NA><NA><NA><NA><NA>100851서울특별시 중구 을지로6가 18-21번지서울특별시 중구 장충단로 247 (을지로6가)<NA>계림2003-02-11 18:21:03I2018-08-31 23:59:59.0<NA>200573.641274451621.036468게임제공업유통관련업0기타<NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
33010000CDFF224101198500000219850710<NA>3폐업3폐업20011231<NA><NA><NA><NA><NA>100855서울특별시 중구 장충동2가 187-13번지서울특별시 중구 동호로24길 23 (장충동2가)<NA>장충2003-02-11 18:21:03I2018-08-31 23:59:59.0<NA>200393.930411450890.128841게임제공업유통관련업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
43010000CDFF224101198500000319850711<NA>3폐업3폐업20051011<NA><NA><NA><NA><NA>100300서울특별시 중구 초동 40-10번지서울특별시 중구 충무로 25-1 (초동)<NA>대한2005-10-11 14:04:30I2018-08-31 23:59:59.0<NA>199295.768801451247.991824게임제공업유통관련업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
53010000CDFF224101198500000419850725<NA>3폐업3폐업20060220<NA><NA><NA><NA><NA>100863서울특별시 중구 충무로4가 108-21번지<NA><NA>진양2006-02-20 16:08:06I2018-08-31 23:59:59.0<NA>199627.573738451090.724287게임제공업유통관련업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
63010000CDFF224101198700000119870701<NA>3폐업3폐업20021128<NA><NA><NA><NA><NA>100827서울특별시 중구 신당동 368-74번지서울특별시 중구 다산로8길 11 (신당동)<NA>태양2003-02-11 18:21:03I2018-08-31 23:59:59.0<NA>200836.42073450077.627205게임제공업유통관련업0기타<NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
73010000CDFF224101198700000219870701<NA>3폐업3폐업20030826<NA><NA><NA><NA><NA>100834서울특별시 중구 신당동 377-143번지서울특별시 중구 동호로12길 39 (신당동)<NA>21세기2003-08-27 17:41:39I2018-08-31 23:59:59.0<NA>200932.550059450527.416589게임제공업유통관련업0학교정화(절대)<NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
83010000CDFF224101198700000319870701<NA>3폐업3폐업20060626<NA><NA><NA><NA><NA>100420서울특별시 중구 무학동 58-0번지<NA><NA>동화2006-06-26 14:58:24I2018-08-31 23:59:59.0<NA>201236.88229451290.278488게임제공업유통관련업0기타<NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
93010000CDFF224101198800000119881228<NA>3폐업3폐업20030826<NA><NA><NA><NA><NA>100873서울특별시 중구 회현동1가 71-6번지서울특별시 중구 퇴계로10길 28 (회현동1가)<NA>로얄2003-08-27 17:43:27I2018-08-31 23:59:59.0<NA>198241.362758450677.706726게임제공업유통관련업0주택가주변<NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
3253010000CDFF224113202100000320210312<NA>3폐업3폐업20220720<NA><NA><NA><NA><NA><NA>서울특별시 중구 황학동 706-2서울특별시 중구 퇴계로 439-4, 1층 (황학동)4576신세계게임랜드2022-07-20 11:50:45U2021-12-06 22:02:00.0<NA>201775.039015451516.771446<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3263010000CDFF22411320210000042021-03-12<NA>3폐업3폐업2023-04-05<NA><NA><NA><NA><NA><NA>서울특별시 중구 황학동 730서울특별시 중구 퇴계로 429, 2층 (황학동)4576종합게임랜드2023-04-05 16:50:59U2022-12-04 00:07:00.0<NA>201641.949472451512.743351<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3273010000CDFF22411320210000052021-06-18<NA>3폐업3폐업2024-04-15<NA><NA><NA><NA><NA><NA>서울특별시 중구 인현동1가 102-5서울특별시 중구 마른내로 50-1, 지하층 (인현동1가)4556명보게임장2024-04-17 13:10:18U2023-12-03 23:09:00.0<NA>199345.537897451328.88856<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3283010000CDFF224113202200000120220720<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 신당동 110-7서울특별시 중구 퇴계로 414, 지하 1층 (신당동)4577우리게임장2022-07-20 17:23:33I2021-12-06 22:02:00.0<NA>201493.81751451443.482519<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3293010000CDFF22411320220000022022-07-20<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 황학동 706-2서울특별시 중구 퇴계로 439-4, 1층 (황학동)4576신세계게임랜드2023-06-07 13:37:54U2022-12-06 00:09:00.0<NA>201775.039015451516.771446<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3303010000CDFF22411320220000032022-11-21<NA>3폐업3폐업2023-06-29<NA><NA><NA><NA><NA><NA>서울특별시 중구 흥인동 15서울특별시 중구 퇴계로 417, 지하1층 (흥인동)4570세븐게임장2023-06-30 09:06:51U2022-12-07 00:02:00.0<NA>201503.849105451514.040508<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3313010000CDFF22411320230000012023-04-10<NA>3폐업3폐업2023-12-28<NA><NA><NA><NA><NA><NA>서울특별시 중구 황학동 730서울특별시 중구 퇴계로 429, 2층 (황학동)4576종합게임랜드2023-12-28 09:28:36U2022-11-01 21:00:00.0<NA>201641.949472451512.743351<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3323010000CDFF22411320230000022023-08-17<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 흥인동 15서울특별시 중구 퇴계로 417, 지하1층 (흥인동)4570대박게임장2024-03-18 14:48:22U2023-12-02 22:00:00.0<NA>201503.849105451514.040508<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3333010000CDFF22411320230000032023-12-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 황학동 730서울특별시 중구 퇴계로 429, 2층 (황학동)4576종합게임랜드2024-03-18 14:45:47U2023-12-02 22:00:00.0<NA>201641.949472451512.743351<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3343010000CDFF22411320240000012024-04-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 인현동1가 102-5서울특별시 중구 마른내로 50-1, 지하1층 (인현동1가)4556명보게임장12024-04-19 10:03:50I2023-12-03 22:01:00.0<NA>199345.537897451328.88856<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>