Overview

Dataset statistics

Number of variables56
Number of observations360
Missing cells9187
Missing cells (%)45.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory170.6 KiB
Average record size in memory485.4 B

Variable types

Categorical18
Text6
DateTime3
Numeric9
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
Author중랑구
URLhttps://data.seoul.go.kr/dataList/OA-16798/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
데이터갱신구분 is highly imbalanced (71.4%)Imbalance
데이터갱신일자 is highly imbalanced (88.2%)Imbalance
문화체육업종명 is highly imbalanced (63.2%)Imbalance
문화사업자구분명 is highly imbalanced (84.6%)Imbalance
주변환경명 is highly imbalanced (84.6%)Imbalance
지하층수 is highly imbalanced (51.3%)Imbalance
건물용도명 is highly imbalanced (54.1%)Imbalance
통로너비 is highly imbalanced (97.2%)Imbalance
조명시설조도 is highly imbalanced (62.6%)Imbalance
노래방실수 is highly imbalanced (97.2%)Imbalance
청소년실수 is highly imbalanced (97.2%)Imbalance
제공게임물명 is highly imbalanced (65.8%)Imbalance
지역구분명 is highly imbalanced (80.9%)Imbalance
인허가취소일자 has 326 (90.6%) missing valuesMissing
폐업일자 has 43 (11.9%) missing valuesMissing
휴업시작일자 has 360 (100.0%) missing valuesMissing
휴업종료일자 has 360 (100.0%) missing valuesMissing
재개업일자 has 360 (100.0%) missing valuesMissing
전화번호 has 155 (43.1%) missing valuesMissing
소재지면적 has 360 (100.0%) missing valuesMissing
소재지우편번호 has 40 (11.1%) missing valuesMissing
도로명주소 has 18 (5.0%) missing valuesMissing
도로명우편번호 has 320 (88.9%) missing valuesMissing
업태구분명 has 360 (100.0%) missing valuesMissing
좌표정보(X) has 4 (1.1%) missing valuesMissing
좌표정보(Y) has 4 (1.1%) missing valuesMissing
총층수 has 217 (60.3%) missing valuesMissing
제작취급품목내용 has 328 (91.1%) missing valuesMissing
시설면적 has 95 (26.4%) missing valuesMissing
지상층수 has 177 (49.2%) missing valuesMissing
비상계단여부 has 360 (100.0%) missing valuesMissing
비상구여부 has 360 (100.0%) missing valuesMissing
자동환기여부 has 360 (100.0%) missing valuesMissing
청소년실여부 has 360 (100.0%) missing valuesMissing
특수조명여부 has 360 (100.0%) missing valuesMissing
방음시설여부 has 360 (100.0%) missing valuesMissing
비디오재생기명 has 360 (100.0%) missing valuesMissing
조명시설유무 has 360 (100.0%) missing valuesMissing
음향시설여부 has 360 (100.0%) missing valuesMissing
편의시설여부 has 360 (100.0%) missing valuesMissing
소방시설여부 has 360 (100.0%) missing valuesMissing
총게임기수 has 260 (72.2%) missing valuesMissing
기존게임업외업종명 has 360 (100.0%) missing valuesMissing
공연장형태구분명 has 360 (100.0%) missing valuesMissing
품목명 has 360 (100.0%) missing valuesMissing
최초등록시점 has 360 (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 32 (8.9%) zerosZeros
시설면적 has 34 (9.4%) zerosZeros
지상층수 has 31 (8.6%) zerosZeros

Reproduction

Analysis started2024-05-11 00:35:35.679873
Analysis finished2024-05-11 00:35:37.988335
Duration2.31 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
3060000
360 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3060000
2nd row3060000
3rd row3060000
4th row3060000
5th row3060000

Common Values

ValueCountFrequency (%)
3060000 360
100.0%

Length

2024-05-11T00:35:38.343353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:35:38.825104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3060000 360
100.0%

관리번호
Text

UNIQUE 

Distinct360
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-05-11T00:35:39.527533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters7200
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

Unique360 ?
Unique (%)100.0%

Sample

1st rowCDFF2241012001000001
2nd rowCDFF2241012001000002
3rd rowCDFF2241012001000003
4th rowCDFF2241012001000004
5th rowCDFF2241012001000005
ValueCountFrequency (%)
cdff2241012001000001 1
 
0.3%
cdff2241012005000016 1
 
0.3%
cdff2241012005000014 1
 
0.3%
cdff2241012005000013 1
 
0.3%
cdff2241012005000012 1
 
0.3%
cdff2241012005000011 1
 
0.3%
cdff2241012005000010 1
 
0.3%
cdff2241012005000009 1
 
0.3%
cdff2241012005000008 1
 
0.3%
cdff2241012005000007 1
 
0.3%
Other values (350) 350
97.2%
2024-05-11T00:35:41.116790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2568
35.7%
2 1244
17.3%
1 964
 
13.4%
F 720
 
10.0%
4 503
 
7.0%
C 360
 
5.0%
D 360
 
5.0%
3 150
 
2.1%
5 127
 
1.8%
6 70
 
1.0%
Other values (3) 134
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5760
80.0%
Uppercase Letter 1440
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2568
44.6%
2 1244
21.6%
1 964
 
16.7%
4 503
 
8.7%
3 150
 
2.6%
5 127
 
2.2%
6 70
 
1.2%
7 51
 
0.9%
8 44
 
0.8%
9 39
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
F 720
50.0%
C 360
25.0%
D 360
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5760
80.0%
Latin 1440
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2568
44.6%
2 1244
21.6%
1 964
 
16.7%
4 503
 
8.7%
3 150
 
2.6%
5 127
 
2.2%
6 70
 
1.2%
7 51
 
0.9%
8 44
 
0.8%
9 39
 
0.7%
Latin
ValueCountFrequency (%)
F 720
50.0%
C 360
25.0%
D 360
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7200
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2568
35.7%
2 1244
17.3%
1 964
 
13.4%
F 720
 
10.0%
4 503
 
7.0%
C 360
 
5.0%
D 360
 
5.0%
3 150
 
2.1%
5 127
 
1.8%
6 70
 
1.0%
Other values (3) 134
 
1.9%

인허가일자
Date

Distinct238
Distinct (%)66.1%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
Minimum2001-10-05 00:00:00
Maximum2023-01-12 00:00:00
2024-05-11T00:35:41.687760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:35:42.182761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Real number (ℝ)

MISSING 

Distinct32
Distinct (%)94.1%
Missing326
Missing (%)90.6%
Infinite0
Infinite (%)0.0%
Mean20082060
Minimum20030310
Maximum20200428
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T00:35:42.642903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20030310
5-th percentile20056954
Q120070242
median20070812
Q320077862
95-th percentile20160829
Maximum20200428
Range170118
Interquartile range (IQR)7620.75

Descriptive statistics

Standard deviation35717.422
Coefficient of variation (CV)0.0017785736
Kurtosis4.2774822
Mean20082060
Median Absolute Deviation (MAD)638.5
Skewness2.1272923
Sum6.8279005 × 108
Variance1.2757342 × 109
MonotonicityNot monotonic
2024-05-11T00:35:43.192598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
20080108 2
 
0.6%
20071008 2
 
0.6%
20070129 1
 
0.3%
20070805 1
 
0.3%
20200428 1
 
0.3%
20180702 1
 
0.3%
20150128 1
 
0.3%
20130527 1
 
0.3%
20140521 1
 
0.3%
20080219 1
 
0.3%
Other values (22) 22
 
6.1%
(Missing) 326
90.6%
ValueCountFrequency (%)
20030310 1
0.3%
20050509 1
0.3%
20060425 1
0.3%
20060710 1
0.3%
20060809 1
0.3%
20061031 1
0.3%
20070129 1
0.3%
20070131 1
0.3%
20070216 1
0.3%
20070319 1
0.3%
ValueCountFrequency (%)
20200428 1
0.3%
20180702 1
0.3%
20150128 1
0.3%
20140521 1
0.3%
20130527 1
0.3%
20080219 1
0.3%
20080130 1
0.3%
20080108 2
0.6%
20071126 1
0.3%
20071031 1
0.3%

영업상태코드
Categorical

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
3
247 
4
104 
1
 
9

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 (%)
3 247
68.6%
4 104
28.9%
1 9
 
2.5%

Length

2024-05-11T00:35:43.819524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:35:44.140942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 247
68.6%
4 104
28.9%
1 9
 
2.5%

영업상태명
Categorical

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
폐업
247 
취소/말소/만료/정지/중지
104 
영업/정상
 
9

Length

Max length14
Median length2
Mean length5.5416667
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 247
68.6%
취소/말소/만료/정지/중지 104
28.9%
영업/정상 9
 
2.5%

Length

2024-05-11T00:35:44.566978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:35:44.998682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 247
68.6%
취소/말소/만료/정지/중지 104
28.9%
영업/정상 9
 
2.5%

상세영업상태코드
Categorical

Distinct5
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
3
247 
35
70 
30
31 
13
 
9
31
 
3

Length

Max length2
Median length1
Mean length1.3138889
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 247
68.6%
35 70
 
19.4%
30 31
 
8.6%
13 9
 
2.5%
31 3
 
0.8%

Length

2024-05-11T00:35:45.531587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:35:46.026623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 247
68.6%
35 70
 
19.4%
30 31
 
8.6%
13 9
 
2.5%
31 3
 
0.8%

상세영업상태명
Categorical

Distinct5
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
폐업
247 
직권말소
70 
허가취소
31 
영업중
 
9
등록취소
 
3

Length

Max length4
Median length2
Mean length2.6027778
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 247
68.6%
직권말소 70
 
19.4%
허가취소 31
 
8.6%
영업중 9
 
2.5%
등록취소 3
 
0.8%

Length

2024-05-11T00:35:46.651834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:35:47.155940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 247
68.6%
직권말소 70
 
19.4%
허가취소 31
 
8.6%
영업중 9
 
2.5%
등록취소 3
 
0.8%

폐업일자
Date

MISSING 

Distinct227
Distinct (%)71.6%
Missing43
Missing (%)11.9%
Memory size2.9 KiB
Minimum2002-01-11 00:00:00
Maximum2024-02-28 00:00:00
2024-05-11T00:35:47.716930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:35:48.408588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing360
Missing (%)100.0%
Memory size3.3 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing360
Missing (%)100.0%
Memory size3.3 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing360
Missing (%)100.0%
Memory size3.3 KiB

전화번호
Text

MISSING 

Distinct200
Distinct (%)97.6%
Missing155
Missing (%)43.1%
Memory size2.9 KiB
2024-05-11T00:35:49.496956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length8
Mean length9.0634146
Min length8

Characters and Unicode

Total characters1858
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

Unique195 ?
Unique (%)95.1%

Sample

1st row437-2890
2nd row394-8785
3rd row492-0491
4th row439-4672
5th row432-2138
ValueCountFrequency (%)
02-437-7986 2
 
1.0%
432-2837 2
 
1.0%
438-5074 2
 
1.0%
02-439-4072 2
 
1.0%
435-8585 2
 
1.0%
434-8656 1
 
0.5%
961-8195 1
 
0.5%
432-3458 1
 
0.5%
437-2890 1
 
0.5%
438-5566 1
 
0.5%
Other values (190) 190
92.7%
2024-05-11T00:35:51.161816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 267
14.4%
4 257
13.8%
2 223
12.0%
3 201
10.8%
9 185
10.0%
0 172
9.3%
7 126
6.8%
5 118
6.4%
8 115
6.2%
6 97
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1591
85.6%
Dash Punctuation 267
 
14.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 257
16.2%
2 223
14.0%
3 201
12.6%
9 185
11.6%
0 172
10.8%
7 126
7.9%
5 118
7.4%
8 115
7.2%
6 97
 
6.1%
1 97
 
6.1%
Dash Punctuation
ValueCountFrequency (%)
- 267
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1858
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 267
14.4%
4 257
13.8%
2 223
12.0%
3 201
10.8%
9 185
10.0%
0 172
9.3%
7 126
6.8%
5 118
6.4%
8 115
6.2%
6 97
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1858
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 267
14.4%
4 257
13.8%
2 223
12.0%
3 201
10.8%
9 185
10.0%
0 172
9.3%
7 126
6.8%
5 118
6.4%
8 115
6.2%
6 97
 
5.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing360
Missing (%)100.0%
Memory size3.3 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct54
Distinct (%)16.9%
Missing40
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean131842.44
Minimum131755
Maximum131883
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T00:35:51.821233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum131755
5-th percentile131808
Q1131816
median131848
Q3131861
95-th percentile131880.05
Maximum131883
Range128
Interquartile range (IQR)45

Descriptive statistics

Standard deviation26.289607
Coefficient of variation (CV)0.0001994017
Kurtosis-1.1865968
Mean131842.44
Median Absolute Deviation (MAD)27
Skewness-0.072271216
Sum42189580
Variance691.14342
MonotonicityNot monotonic
2024-05-11T00:35:52.359560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
131859 21
 
5.8%
131860 20
 
5.6%
131861 19
 
5.3%
131810 18
 
5.0%
131878 18
 
5.0%
131831 15
 
4.2%
131816 12
 
3.3%
131879 11
 
3.1%
131821 10
 
2.8%
131880 9
 
2.5%
Other values (44) 167
46.4%
(Missing) 40
 
11.1%
ValueCountFrequency (%)
131755 1
 
0.3%
131802 3
 
0.8%
131803 1
 
0.3%
131804 3
 
0.8%
131805 3
 
0.8%
131806 3
 
0.8%
131808 3
 
0.8%
131809 8
2.2%
131810 18
5.0%
131811 9
2.5%
ValueCountFrequency (%)
131883 3
 
0.8%
131882 4
 
1.1%
131881 9
2.5%
131880 9
2.5%
131879 11
3.1%
131878 18
5.0%
131875 1
 
0.3%
131872 2
 
0.6%
131868 4
 
1.1%
131867 4
 
1.1%

지번주소
Text

Distinct334
Distinct (%)92.8%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-05-11T00:35:53.028303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length46
Mean length24.577778
Min length17

Characters and Unicode

Total characters8848
Distinct characters95
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

Unique314 ?
Unique (%)87.2%

Sample

1st row서울특별시 중랑구 면목동 53-2번지
2nd row서울특별시 중랑구 망우동 341-24번지
3rd row서울특별시 중랑구 면목동 74-4번지
4th row서울특별시 중랑구 면목동 69-46번지
5th row서울특별시 중랑구 면목동 46-39번지
ValueCountFrequency (%)
서울특별시 360
22.4%
중랑구 360
22.4%
면목동 111
 
6.9%
상봉동 89
 
5.5%
망우동 63
 
3.9%
중화동 55
 
3.4%
2층 39
 
2.4%
묵동 30
 
1.9%
1층 30
 
1.9%
지층 18
 
1.1%
Other values (343) 450
28.0%
2024-05-11T00:35:54.324123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1587
17.9%
중 417
 
4.7%
1 396
 
4.5%
지 382
 
4.3%
시 371
 
4.2%
동 368
 
4.2%
구 360
 
4.1%
울 360
 
4.1%
서 360
 
4.1%
랑 360
 
4.1%
Other values (85) 3887
43.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4986
56.4%
Decimal Number 1791
 
20.2%
Space Separator 1587
 
17.9%
Dash Punctuation 340
 
3.8%
Open Punctuation 59
 
0.7%
Close Punctuation 59
 
0.7%
Other Punctuation 12
 
0.1%
Uppercase Letter 10
 
0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 417
 
8.4%
지 382
 
7.7%
시 371
 
7.4%
동 368
 
7.4%
구 360
 
7.2%
울 360
 
7.2%
서 360
 
7.2%
랑 360
 
7.2%
별 360
 
7.2%
특 360
 
7.2%
Other values (66) 1288
25.8%
Decimal Number
ValueCountFrequency (%)
1 396
22.1%
2 262
14.6%
3 197
11.0%
4 172
9.6%
0 166
9.3%
6 144
 
8.0%
5 124
 
6.9%
7 122
 
6.8%
9 117
 
6.5%
8 91
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
S 7
70.0%
A 2
 
20.0%
C 1
 
10.0%
Space Separator
ValueCountFrequency (%)
1587
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 340
100.0%
Open Punctuation
ValueCountFrequency (%)
( 59
100.0%
Close Punctuation
ValueCountFrequency (%)
) 59
100.0%
Other Punctuation
ValueCountFrequency (%)
, 12
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4986
56.4%
Common 3852
43.5%
Latin 10
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 417
 
8.4%
지 382
 
7.7%
시 371
 
7.4%
동 368
 
7.4%
구 360
 
7.2%
울 360
 
7.2%
서 360
 
7.2%
랑 360
 
7.2%
별 360
 
7.2%
특 360
 
7.2%
Other values (66) 1288
25.8%
Common
ValueCountFrequency (%)
1587
41.2%
1 396
 
10.3%
- 340
 
8.8%
2 262
 
6.8%
3 197
 
5.1%
4 172
 
4.5%
0 166
 
4.3%
6 144
 
3.7%
5 124
 
3.2%
7 122
 
3.2%
Other values (6) 342
 
8.9%
Latin
ValueCountFrequency (%)
S 7
70.0%
A 2
 
20.0%
C 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4986
56.4%
ASCII 3862
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1587
41.1%
1 396
 
10.3%
- 340
 
8.8%
2 262
 
6.8%
3 197
 
5.1%
4 172
 
4.5%
0 166
 
4.3%
6 144
 
3.7%
5 124
 
3.2%
7 122
 
3.2%
Other values (9) 352
 
9.1%
Hangul
ValueCountFrequency (%)
중 417
 
8.4%
지 382
 
7.7%
시 371
 
7.4%
동 368
 
7.4%
구 360
 
7.2%
울 360
 
7.2%
서 360
 
7.2%
랑 360
 
7.2%
별 360
 
7.2%
특 360
 
7.2%
Other values (66) 1288
25.8%

도로명주소
Text

MISSING 

Distinct317
Distinct (%)92.7%
Missing18
Missing (%)5.0%
Memory size2.9 KiB
2024-05-11T00:35:55.037452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length55
Mean length27.938596
Min length22

Characters and Unicode

Total characters9555
Distinct characters111
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

Unique297 ?
Unique (%)86.8%

Sample

1st row서울특별시 중랑구 용마산로86길 21-54 (면목동)
2nd row서울특별시 중랑구 망우로71길 18 (망우동)
3rd row서울특별시 중랑구 상봉로 45 (면목동)
4th row서울특별시 중랑구 상봉로1길 52 (면목동)
5th row서울특별시 중랑구 용마산로94길 27 (면목동)
ValueCountFrequency (%)
서울특별시 342
19.2%
중랑구 342
19.2%
면목동 82
 
4.6%
상봉동 67
 
3.8%
망우로 47
 
2.6%
망우동 42
 
2.4%
중화동 33
 
1.8%
중랑역로 29
 
1.6%
겸재로 26
 
1.5%
면목로 22
 
1.2%
Other values (360) 753
42.2%
2024-05-11T00:35:56.258039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1742
 
18.2%
중 436
 
4.6%
) 396
 
4.1%
( 396
 
4.1%
동 384
 
4.0%
랑 378
 
4.0%
1 356
 
3.7%
시 356
 
3.7%
서 342
 
3.6%
울 342
 
3.6%
Other values (101) 4427
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5413
56.7%
Space Separator 1742
 
18.2%
Decimal Number 1414
 
14.8%
Close Punctuation 396
 
4.1%
Open Punctuation 396
 
4.1%
Other Punctuation 154
 
1.6%
Dash Punctuation 26
 
0.3%
Uppercase Letter 9
 
0.1%
Math Symbol 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 436
 
8.1%
동 384
 
7.1%
랑 378
 
7.0%
시 356
 
6.6%
서 342
 
6.3%
울 342
 
6.3%
구 342
 
6.3%
별 342
 
6.3%
특 342
 
6.3%
로 340
 
6.3%
Other values (83) 1809
33.4%
Decimal Number
ValueCountFrequency (%)
1 356
25.2%
2 256
18.1%
3 148
10.5%
0 115
 
8.1%
4 114
 
8.1%
5 110
 
7.8%
9 94
 
6.6%
6 80
 
5.7%
8 79
 
5.6%
7 62
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
S 8
88.9%
A 1
 
11.1%
Space Separator
ValueCountFrequency (%)
1742
100.0%
Close Punctuation
ValueCountFrequency (%)
) 396
100.0%
Open Punctuation
ValueCountFrequency (%)
( 396
100.0%
Other Punctuation
ValueCountFrequency (%)
, 154
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5413
56.7%
Common 4133
43.3%
Latin 9
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 436
 
8.1%
동 384
 
7.1%
랑 378
 
7.0%
시 356
 
6.6%
서 342
 
6.3%
울 342
 
6.3%
구 342
 
6.3%
별 342
 
6.3%
특 342
 
6.3%
로 340
 
6.3%
Other values (83) 1809
33.4%
Common
ValueCountFrequency (%)
1742
42.1%
) 396
 
9.6%
( 396
 
9.6%
1 356
 
8.6%
2 256
 
6.2%
, 154
 
3.7%
3 148
 
3.6%
0 115
 
2.8%
4 114
 
2.8%
5 110
 
2.7%
Other values (6) 346
 
8.4%
Latin
ValueCountFrequency (%)
S 8
88.9%
A 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5413
56.7%
ASCII 4142
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1742
42.1%
) 396
 
9.6%
( 396
 
9.6%
1 356
 
8.6%
2 256
 
6.2%
, 154
 
3.7%
3 148
 
3.6%
0 115
 
2.8%
4 114
 
2.8%
5 110
 
2.7%
Other values (8) 355
 
8.6%
Hangul
ValueCountFrequency (%)
중 436
 
8.1%
동 384
 
7.1%
랑 378
 
7.0%
시 356
 
6.6%
서 342
 
6.3%
울 342
 
6.3%
구 342
 
6.3%
별 342
 
6.3%
특 342
 
6.3%
로 340
 
6.3%
Other values (83) 1809
33.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)40.0%
Missing320
Missing (%)88.9%
Infinite0
Infinite (%)0.0%
Mean50758.025
Minimum2033
Maximum131860
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T00:35:57.129783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2033
5-th percentile2137
Q12163
median2169
Q3131809
95-th percentile131859.05
Maximum131860
Range129827
Interquartile range (IQR)129646

Descriptive statistics

Standard deviation63538.293
Coefficient of variation (CV)1.2517881
Kurtosis-1.8048018
Mean50758.025
Median Absolute Deviation (MAD)32
Skewness0.53675122
Sum2030321
Variance4.0371147 × 109
MonotonicityNot monotonic
2024-05-11T00:35:57.556213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
2163 8
 
2.2%
2137 5
 
1.4%
2169 5
 
1.4%
131809 3
 
0.8%
131859 3
 
0.8%
131848 2
 
0.6%
131807 2
 
0.6%
131860 2
 
0.6%
131230 2
 
0.6%
2149 2
 
0.6%
Other values (6) 6
 
1.7%
(Missing) 320
88.9%
ValueCountFrequency (%)
2033 1
 
0.3%
2137 5
1.4%
2149 2
 
0.6%
2151 1
 
0.3%
2163 8
2.2%
2169 5
1.4%
2214 1
 
0.3%
2238 1
 
0.3%
2249 1
 
0.3%
131230 2
 
0.6%
ValueCountFrequency (%)
131860 2
0.6%
131859 3
0.8%
131848 2
0.6%
131810 1
 
0.3%
131809 3
0.8%
131807 2
0.6%
131230 2
0.6%
2249 1
 
0.3%
2238 1
 
0.3%
2214 1
 
0.3%

사업장명
Text

Distinct309
Distinct (%)85.8%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-05-11T00:35:58.169547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length5.8944444
Min length1

Characters and Unicode

Total characters2122
Distinct characters278
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

Unique270 ?
Unique (%)75.0%

Sample

1st row화성침공
2nd row오락메니아
3rd row룰루랄라오락실
4th row짱게임랜드
5th row팔팔게임장
ValueCountFrequency (%)
게임장 13
 
3.2%
게임랜드 12
 
3.0%
상봉게임랜드 5
 
1.2%
오락실 4
 
1.0%
아마겟돈 4
 
1.0%
스타게임장 4
 
1.0%
스마트게임랜드 4
 
1.0%
로얄게임랜드 3
 
0.7%
면목게임랜드 3
 
0.7%
상봉오락실 3
 
0.7%
Other values (308) 347
86.3%
2024-05-11T00:35:59.628744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
게 257
 
12.1%
임 256
 
12.1%
드 161
 
7.6%
랜 133
 
6.3%
장 105
 
4.9%
스 56
 
2.6%
오 52
 
2.5%
실 42
 
2.0%
42
 
2.0%
락 42
 
2.0%
Other values (268) 976
46.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2043
96.3%
Space Separator 42
 
2.0%
Decimal Number 17
 
0.8%
Lowercase Letter 10
 
0.5%
Uppercase Letter 7
 
0.3%
Other Punctuation 2
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
게 257
 
12.6%
임 256
 
12.5%
드 161
 
7.9%
랜 133
 
6.5%
장 105
 
5.1%
스 56
 
2.7%
오 52
 
2.5%
실 42
 
2.1%
락 42
 
2.1%
이 32
 
1.6%
Other values (244) 907
44.4%
Decimal Number
ValueCountFrequency (%)
3 5
29.4%
7 3
17.6%
2 3
17.6%
5 2
 
11.8%
6 2
 
11.8%
1 1
 
5.9%
4 1
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
C 1
14.3%
P 1
14.3%
S 1
14.3%
K 1
14.3%
Y 1
14.3%
J 1
14.3%
G 1
14.3%
Lowercase Letter
ValueCountFrequency (%)
e 3
30.0%
m 2
20.0%
a 2
20.0%
g 1
 
10.0%
h 1
 
10.0%
t 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
? 1
50.0%
Space Separator
ValueCountFrequency (%)
42
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2043
96.3%
Common 62
 
2.9%
Latin 17
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
게 257
 
12.6%
임 256
 
12.5%
드 161
 
7.9%
랜 133
 
6.5%
장 105
 
5.1%
스 56
 
2.7%
오 52
 
2.5%
실 42
 
2.1%
락 42
 
2.1%
이 32
 
1.6%
Other values (244) 907
44.4%
Latin
ValueCountFrequency (%)
e 3
17.6%
m 2
11.8%
a 2
11.8%
C 1
 
5.9%
P 1
 
5.9%
g 1
 
5.9%
S 1
 
5.9%
K 1
 
5.9%
Y 1
 
5.9%
J 1
 
5.9%
Other values (3) 3
17.6%
Common
ValueCountFrequency (%)
42
67.7%
3 5
 
8.1%
7 3
 
4.8%
2 3
 
4.8%
5 2
 
3.2%
6 2
 
3.2%
- 1
 
1.6%
. 1
 
1.6%
1 1
 
1.6%
? 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2043
96.3%
ASCII 79
 
3.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
게 257
 
12.6%
임 256
 
12.5%
드 161
 
7.9%
랜 133
 
6.5%
장 105
 
5.1%
스 56
 
2.7%
오 52
 
2.5%
실 42
 
2.1%
락 42
 
2.1%
이 32
 
1.6%
Other values (244) 907
44.4%
ASCII
ValueCountFrequency (%)
42
53.2%
3 5
 
6.3%
7 3
 
3.8%
e 3
 
3.8%
2 3
 
3.8%
m 2
 
2.5%
a 2
 
2.5%
5 2
 
2.5%
6 2
 
2.5%
C 1
 
1.3%
Other values (14) 14
 
17.7%

최종수정일자
Date

Distinct321
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
Minimum2003-04-18 17:03:26
Maximum2024-03-14 09:54:44
2024-05-11T00:36:00.268241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:36:00.787218image/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 size2.9 KiB
I
342 
U
 
18

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 342
95.0%
U 18
 
5.0%

Length

2024-05-11T00:36:01.281482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:36:01.626269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 342
95.0%
u 18
 
5.0%

데이터갱신일자
Categorical

IMBALANCE 

Distinct16
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2018-08-31 23:59:59.0
342 
2023-12-02 23:06:00.0
 
4
2019-11-20 02:40:00.0
 
1
2021-03-18 02:40:00.0
 
1
2019-12-15 02:40:00.0
 
1
Other values (11)
 
11

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique14 ?
Unique (%)3.9%

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 23:59:59.0 342
95.0%
2023-12-02 23:06:00.0 4
 
1.1%
2019-11-20 02:40:00.0 1
 
0.3%
2021-03-18 02:40:00.0 1
 
0.3%
2019-12-15 02:40:00.0 1
 
0.3%
2021-06-02 02:40:00.0 1
 
0.3%
2023-12-03 00:01:00.0 1
 
0.3%
2018-10-18 02:35:35.0 1
 
0.3%
2021-10-30 02:40:00.0 1
 
0.3%
2021-07-15 02:40:00.0 1
 
0.3%
Other values (6) 6
 
1.7%

Length

2024-05-11T00:36:02.169101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 342
47.5%
23:59:59.0 342
47.5%
02:40:00.0 9
 
1.2%
2023-12-02 4
 
0.6%
23:06:00.0 4
 
0.6%
2023-12-03 2
 
0.3%
2021-07-15 1
 
0.1%
2022-12-06 1
 
0.1%
00:07:00.0 1
 
0.1%
2020-11-29 1
 
0.1%
Other values (13) 13
 
1.8%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing360
Missing (%)100.0%
Memory size3.3 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct271
Distinct (%)76.1%
Missing4
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean207558.49
Minimum206314.83
Maximum209177.68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T00:36:02.548365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum206314.83
5-th percentile206541.79
Q1206823.07
median207598.01
Q3208169.84
95-th percentile208728.33
Maximum209177.68
Range2862.8546
Interquartile range (IQR)1346.7627

Descriptive statistics

Standard deviation711.62896
Coefficient of variation (CV)0.0034285706
Kurtosis-1.1566742
Mean207558.49
Median Absolute Deviation (MAD)666.79112
Skewness0.0948198
Sum73890824
Variance506415.78
MonotonicityNot monotonic
2024-05-11T00:36:03.003795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
208267.592391698 5
 
1.4%
208185.587866215 5
 
1.4%
206774.874230196 5
 
1.4%
208169.082030804 4
 
1.1%
207729.175659582 4
 
1.1%
207778.811774353 4
 
1.1%
207485.049013079 4
 
1.1%
206780.82949223 4
 
1.1%
206771.217305763 3
 
0.8%
208463.848549003 3
 
0.8%
Other values (261) 315
87.5%
(Missing) 4
 
1.1%
ValueCountFrequency (%)
206314.828218712 1
 
0.3%
206316.57111549 1
 
0.3%
206324.614588608 1
 
0.3%
206328.066671402 1
 
0.3%
206410.706804792 1
 
0.3%
206419.071508713 3
0.8%
206437.691349839 1
 
0.3%
206453.503734745 1
 
0.3%
206488.260801572 1
 
0.3%
206492.087474895 3
0.8%
ValueCountFrequency (%)
209177.682798072 1
0.3%
209083.646196172 1
0.3%
209006.848797065 1
0.3%
208956.980860514 1
0.3%
208862.410686506 1
0.3%
208823.948326994 1
0.3%
208822.423457813 1
0.3%
208808.016948113 1
0.3%
208799.01242713 1
0.3%
208796.830101801 1
0.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct271
Distinct (%)76.1%
Missing4
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean454720.26
Minimum452180.14
Maximum457300.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T00:36:03.436247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum452180.14
5-th percentile453132.64
Q1454096.98
median454767.56
Q3455115.08
95-th percentile456756.96
Maximum457300.59
Range5120.4481
Interquartile range (IQR)1018.0985

Descriptive statistics

Standard deviation993.50397
Coefficient of variation (CV)0.0021848685
Kurtosis0.35067981
Mean454720.26
Median Absolute Deviation (MAD)416.52558
Skewness0.26600341
Sum1.6188041 × 108
Variance987050.14
MonotonicityNot monotonic
2024-05-11T00:36:03.872348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
455042.983909137 5
 
1.4%
455005.951408018 5
 
1.4%
457011.632629502 5
 
1.4%
454796.281596123 4
 
1.1%
453342.232542102 4
 
1.1%
454861.510993306 4
 
1.1%
454704.772646639 4
 
1.1%
454696.195316634 4
 
1.1%
455221.989517331 3
 
0.8%
455138.803069881 3
 
0.8%
Other values (261) 315
87.5%
(Missing) 4
 
1.1%
ValueCountFrequency (%)
452180.142703177 1
0.3%
452218.427242593 1
0.3%
452430.203678931 1
0.3%
452454.938575965 1
0.3%
452734.46922948 1
0.3%
452868.339047464 1
0.3%
452872.918902759 1
0.3%
452934.95060648 1
0.3%
452935.529387111 1
0.3%
452972.41045751 1
0.3%
ValueCountFrequency (%)
457300.590845829 1
 
0.3%
457160.207840878 1
 
0.3%
457133.023155169 1
 
0.3%
457125.953319556 1
 
0.3%
457102.262608024 1
 
0.3%
457034.282038268 1
 
0.3%
457033.959271313 1
 
0.3%
457021.162035231 2
 
0.6%
457011.632629502 5
1.4%
456939.355768979 1
 
0.3%

문화체육업종명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
게임제공업
320 
일반게임제공업
 
32
<NA>
 
8

Length

Max length7
Median length5
Mean length5.1555556
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
게임제공업 320
88.9%
일반게임제공업 32
 
8.9%
<NA> 8
 
2.2%

Length

2024-05-11T00:36:04.301228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:36:04.652238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
게임제공업 320
88.9%
일반게임제공업 32
 
8.9%
na 8
 
2.2%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
유통관련업
352 
<NA>
 
8

Length

Max length5
Median length5
Mean length4.9777778
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 352
97.8%
<NA> 8
 
2.2%

Length

2024-05-11T00:36:05.051156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:36:05.484678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 352
97.8%
na 8
 
2.2%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)9.8%
Missing217
Missing (%)60.3%
Infinite0
Infinite (%)0.0%
Mean3.7062937
Minimum0
Maximum33
Zeros32
Zeros (%)8.9%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T00:36:05.774804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q35
95-th percentile7.9
Maximum33
Range33
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.2935132
Coefficient of variation (CV)1.1584385
Kurtosis27.295014
Mean3.7062937
Median Absolute Deviation (MAD)2
Skewness4.3872069
Sum530
Variance18.434256
MonotonicityNot monotonic
2024-05-11T00:36:06.149261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
4 33
 
9.2%
0 32
 
8.9%
5 21
 
5.8%
3 16
 
4.4%
2 12
 
3.3%
6 12
 
3.3%
1 7
 
1.9%
8 2
 
0.6%
13 2
 
0.6%
7 2
 
0.6%
Other values (4) 4
 
1.1%
(Missing) 217
60.3%
ValueCountFrequency (%)
0 32
8.9%
1 7
 
1.9%
2 12
 
3.3%
3 16
4.4%
4 33
9.2%
5 21
5.8%
6 12
 
3.3%
7 2
 
0.6%
8 2
 
0.6%
10 1
 
0.3%
ValueCountFrequency (%)
33 1
 
0.3%
32 1
 
0.3%
13 2
 
0.6%
11 1
 
0.3%
10 1
 
0.3%
8 2
 
0.6%
7 2
 
0.6%
6 12
 
3.3%
5 21
5.8%
4 33
9.2%

주변환경명
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
343 
유흥업소밀집지역
 
7
기타
 
6
주택가주변
 
3
아파트지역
 
1

Length

Max length8
Median length4
Mean length4.0555556
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 343
95.3%
유흥업소밀집지역 7
 
1.9%
기타 6
 
1.7%
주택가주변 3
 
0.8%
아파트지역 1
 
0.3%

Length

2024-05-11T00:36:06.662699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:36:07.053963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 343
95.3%
유흥업소밀집지역 7
 
1.9%
기타 6
 
1.7%
주택가주변 3
 
0.8%
아파트지역 1
 
0.3%

제작취급품목내용
Text

MISSING 

Distinct32
Distinct (%)100.0%
Missing328
Missing (%)91.1%
Memory size2.9 KiB
2024-05-11T00:36:07.545284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length38
Mean length26.8125
Min length7

Characters and Unicode

Total characters858
Distinct characters167
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st rowBlue Sky Star(블루스카이스타), Marine Flash(마린 후레쉬)
2nd rowDream Castle(드림 캐슬)
3rd row골든 에이스(GOLDEN ACE)
4th rowSea of King, 등급분류번호:제CC-NA-111228-003, 아케이드게임
5th row뉴 오션(New Ocean), 아케이드 게임
ValueCountFrequency (%)
황금포커성 9
 
6.3%
총 5
 
3.5%
30대 5
 
3.5%
50대 5
 
3.5%
흑룡성 5
 
3.5%
20 5
 
3.5%
80대 4
 
2.8%
70대 4
 
2.8%
로얄고도리2 3
 
2.1%
poker 2
 
1.4%
Other values (86) 96
67.1%
2024-05-11T00:36:08.705377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
113
 
13.2%
0 58
 
6.8%
, 43
 
5.0%
대 34
 
4.0%
2 30
 
3.5%
포 26
 
3.0%
커 24
 
2.8%
성 20
 
2.3%
1 18
 
2.1%
황 18
 
2.1%
Other values (157) 474
55.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 386
45.0%
Decimal Number 155
18.1%
Space Separator 113
 
13.2%
Lowercase Letter 65
 
7.6%
Other Punctuation 51
 
5.9%
Uppercase Letter 48
 
5.6%
Close Punctuation 17
 
2.0%
Open Punctuation 17
 
2.0%
Dash Punctuation 6
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 34
 
8.8%
포 26
 
6.7%
커 24
 
6.2%
성 20
 
5.2%
황 18
 
4.7%
금 17
 
4.4%
이 10
 
2.6%
스 9
 
2.3%
불 8
 
2.1%
도 8
 
2.1%
Other values (101) 212
54.9%
Lowercase Letter
ValueCountFrequency (%)
e 10
15.4%
r 9
13.8%
a 8
12.3%
l 5
7.7%
o 5
7.7%
n 5
7.7%
d 4
 
6.2%
i 3
 
4.6%
t 2
 
3.1%
k 2
 
3.1%
Other values (9) 12
18.5%
Uppercase Letter
ValueCountFrequency (%)
C 7
14.6%
S 6
12.5%
A 5
10.4%
E 5
10.4%
N 4
8.3%
D 3
 
6.2%
O 3
 
6.2%
K 2
 
4.2%
L 2
 
4.2%
G 2
 
4.2%
Other values (8) 9
18.8%
Decimal Number
ValueCountFrequency (%)
0 58
37.4%
2 30
19.4%
1 18
 
11.6%
5 13
 
8.4%
3 12
 
7.7%
8 6
 
3.9%
4 6
 
3.9%
7 5
 
3.2%
6 5
 
3.2%
9 2
 
1.3%
Other Punctuation
ValueCountFrequency (%)
, 43
84.3%
: 3
 
5.9%
! 2
 
3.9%
. 2
 
3.9%
/ 1
 
2.0%
Space Separator
ValueCountFrequency (%)
113
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 380
44.3%
Common 359
41.8%
Latin 113
 
13.2%
Han 6
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 34
 
8.9%
포 26
 
6.8%
커 24
 
6.3%
성 20
 
5.3%
황 18
 
4.7%
금 17
 
4.5%
이 10
 
2.6%
스 9
 
2.4%
불 8
 
2.1%
도 8
 
2.1%
Other values (98) 206
54.2%
Latin
ValueCountFrequency (%)
e 10
 
8.8%
r 9
 
8.0%
a 8
 
7.1%
C 7
 
6.2%
S 6
 
5.3%
l 5
 
4.4%
o 5
 
4.4%
A 5
 
4.4%
E 5
 
4.4%
n 5
 
4.4%
Other values (27) 48
42.5%
Common
ValueCountFrequency (%)
113
31.5%
0 58
16.2%
, 43
 
12.0%
2 30
 
8.4%
1 18
 
5.0%
) 17
 
4.7%
( 17
 
4.7%
5 13
 
3.6%
3 12
 
3.3%
- 6
 
1.7%
Other values (9) 32
 
8.9%
Han
ValueCountFrequency (%)
金 2
33.3%
城 2
33.3%
黃 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 472
55.0%
Hangul 380
44.3%
CJK 4
 
0.5%
CJK Compat Ideographs 2
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
113
23.9%
0 58
12.3%
, 43
 
9.1%
2 30
 
6.4%
1 18
 
3.8%
) 17
 
3.6%
( 17
 
3.6%
5 13
 
2.8%
3 12
 
2.5%
e 10
 
2.1%
Other values (46) 141
29.9%
Hangul
ValueCountFrequency (%)
대 34
 
8.9%
포 26
 
6.8%
커 24
 
6.3%
성 20
 
5.3%
황 18
 
4.7%
금 17
 
4.5%
이 10
 
2.6%
스 9
 
2.4%
불 8
 
2.1%
도 8
 
2.1%
Other values (98) 206
54.2%
CJK Compat Ideographs
ValueCountFrequency (%)
金 2
100.0%
CJK
ValueCountFrequency (%)
城 2
50.0%
黃 2
50.0%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct196
Distinct (%)74.0%
Missing95
Missing (%)26.4%
Infinite0
Infinite (%)0.0%
Mean117.6437
Minimum0
Maximum551.02
Zeros34
Zeros (%)9.4%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T00:36:09.219704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q166
median109.98
Q3156.4
95-th percentile259.848
Maximum551.02
Range551.02
Interquartile range (IQR)90.4

Descriptive statistics

Standard deviation81.008885
Coefficient of variation (CV)0.68859519
Kurtosis2.9875814
Mean117.6437
Median Absolute Deviation (MAD)43.98
Skewness1.0110331
Sum31175.58
Variance6562.4394
MonotonicityNot monotonic
2024-05-11T00:36:09.850267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 34
 
9.4%
66.0 5
 
1.4%
132.0 4
 
1.1%
33.0 3
 
0.8%
88.68 3
 
0.8%
126.0 3
 
0.8%
118.48 3
 
0.8%
180.67 3
 
0.8%
100.64 2
 
0.6%
105.91 2
 
0.6%
Other values (186) 203
56.4%
(Missing) 95
26.4%
ValueCountFrequency (%)
0.0 34
9.4%
16.5 1
 
0.3%
19.7 1
 
0.3%
25.0 1
 
0.3%
30.0 1
 
0.3%
33.0 3
 
0.8%
35.0 1
 
0.3%
35.8 1
 
0.3%
39.54 1
 
0.3%
39.7 1
 
0.3%
ValueCountFrequency (%)
551.02 1
0.3%
416.18 1
0.3%
370.13 1
0.3%
297.0 2
0.6%
293.7 1
0.3%
285.06 1
0.3%
281.29 1
0.3%
281.0 1
0.3%
272.23 1
0.3%
268.21 1
0.3%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)4.9%
Missing177
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean1.8087432
Minimum0
Maximum28
Zeros31
Zeros (%)8.6%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T00:36:10.255684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile4.9
Maximum28
Range28
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.9966153
Coefficient of variation (CV)1.656739
Kurtosis58.645099
Mean1.8087432
Median Absolute Deviation (MAD)1
Skewness7.0798857
Sum331
Variance8.9797034
MonotonicityNot monotonic
2024-05-11T00:36:10.667010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 76
21.1%
2 49
 
13.6%
0 31
 
8.6%
3 9
 
2.5%
4 8
 
2.2%
5 7
 
1.9%
8 1
 
0.3%
28 1
 
0.3%
27 1
 
0.3%
(Missing) 177
49.2%
ValueCountFrequency (%)
0 31
8.6%
1 76
21.1%
2 49
13.6%
3 9
 
2.5%
4 8
 
2.2%
5 7
 
1.9%
8 1
 
0.3%
27 1
 
0.3%
28 1
 
0.3%
ValueCountFrequency (%)
28 1
 
0.3%
27 1
 
0.3%
8 1
 
0.3%
5 7
 
1.9%
4 8
 
2.2%
3 9
 
2.5%
2 49
13.6%
1 76
21.1%
0 31
8.6%

지하층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
265 
1
60 
0
32 
5
 
2
2
 
1

Length

Max length4
Median length4
Mean length3.2083333
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row1
2nd row<NA>
3rd row0
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 265
73.6%
1 60
 
16.7%
0 32
 
8.9%
5 2
 
0.6%
2 1
 
0.3%

Length

2024-05-11T00:36:11.068875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:36:11.524354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 265
73.6%
1 60
 
16.7%
0 32
 
8.9%
5 2
 
0.6%
2 1
 
0.3%

건물용도명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
근린생활시설
276 
<NA>
75 
판매시설
 
7
시장(재래시장)
 
2

Length

Max length8
Median length6
Mean length5.5555556
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
근린생활시설 276
76.7%
<NA> 75
 
20.8%
판매시설 7
 
1.9%
시장(재래시장) 2
 
0.6%

Length

2024-05-11T00:36:12.372463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:36:12.903742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
근린생활시설 276
76.7%
na 75
 
20.8%
판매시설 7
 
1.9%
시장(재래시장 2
 
0.6%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
359 
0
 
1

Length

Max length4
Median length4
Mean length3.9916667
Min length1

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> 359
99.7%
0 1
 
0.3%

Length

2024-05-11T00:36:13.562630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:36:14.222437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 359
99.7%
0 1
 
0.3%

조명시설조도
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
311 
40
48 
0
 
1

Length

Max length4
Median length4
Mean length3.725
Min length1

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> 311
86.4%
40 48
 
13.3%
0 1
 
0.3%

Length

2024-05-11T00:36:14.701964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:36:15.313003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 311
86.4%
40 48
 
13.3%
0 1
 
0.3%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
359 
0
 
1

Length

Max length4
Median length4
Mean length3.9916667
Min length1

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> 359
99.7%
0 1
 
0.3%

Length

2024-05-11T00:36:15.689438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:36:16.040702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 359
99.7%
0 1
 
0.3%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
359 
0
 
1

Length

Max length4
Median length4
Mean length3.9916667
Min length1

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> 359
99.7%
0 1
 
0.3%

Length

2024-05-11T00:36:16.532436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:36:16.933449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 359
99.7%
0 1
 
0.3%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing360
Missing (%)100.0%
Memory size3.3 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing360
Missing (%)100.0%
Memory size3.3 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing360
Missing (%)100.0%
Memory size3.3 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing360
Missing (%)100.0%
Memory size3.3 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing360
Missing (%)100.0%
Memory size3.3 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing360
Missing (%)100.0%
Memory size3.3 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing360
Missing (%)100.0%
Memory size3.3 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing360
Missing (%)100.0%
Memory size3.3 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing360
Missing (%)100.0%
Memory size3.3 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing360
Missing (%)100.0%
Memory size3.3 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing360
Missing (%)100.0%
Memory size3.3 KiB

총게임기수
Real number (ℝ)

MISSING 

Distinct50
Distinct (%)50.0%
Missing260
Missing (%)72.2%
Infinite0
Infinite (%)0.0%
Mean67.18
Minimum4
Maximum195
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T00:36:17.319336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile25
Q142.5
median64
Q386
95-th percentile131
Maximum195
Range191
Interquartile range (IQR)43.5

Descriptive statistics

Standard deviation34.959538
Coefficient of variation (CV)0.5203861
Kurtosis1.9008436
Mean67.18
Median Absolute Deviation (MAD)22
Skewness1.1417023
Sum6718
Variance1222.1693
MonotonicityNot monotonic
2024-05-11T00:36:17.860706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
67 9
 
2.5%
35 6
 
1.7%
102 5
 
1.4%
51 5
 
1.4%
86 5
 
1.4%
60 5
 
1.4%
50 4
 
1.1%
25 3
 
0.8%
66 3
 
0.8%
77 2
 
0.6%
Other values (40) 53
 
14.7%
(Missing) 260
72.2%
ValueCountFrequency (%)
4 1
 
0.3%
11 1
 
0.3%
20 2
 
0.6%
25 3
0.8%
26 2
 
0.6%
27 1
 
0.3%
30 2
 
0.6%
34 1
 
0.3%
35 6
1.7%
36 1
 
0.3%
ValueCountFrequency (%)
195 1
 
0.3%
178 1
 
0.3%
154 1
 
0.3%
150 2
 
0.6%
130 1
 
0.3%
125 1
 
0.3%
118 2
 
0.6%
105 1
 
0.3%
102 5
1.4%
100 2
 
0.6%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing360
Missing (%)100.0%
Memory size3.3 KiB

제공게임물명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
315 
청소년이용불가
 
31
전체이용가 및 청소년이용불가
 
11
전체이용가
 
3

Length

Max length15
Median length4
Mean length4.6027778
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> 315
87.5%
청소년이용불가 31
 
8.6%
전체이용가 및 청소년이용불가 11
 
3.1%
전체이용가 3
 
0.8%

Length

2024-05-11T00:36:18.402921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:36:18.766093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 315
82.5%
청소년이용불가 42
 
11.0%
전체이용가 14
 
3.7%
및 11
 
2.9%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing360
Missing (%)100.0%
Memory size3.3 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing360
Missing (%)100.0%
Memory size3.3 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing360
Missing (%)100.0%
Memory size3.3 KiB

지역구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
336 
근린상업지역
 
8
일반상업지역
 
6
상업지역
 
6
일반주거지역
 
3

Length

Max length6
Median length4
Mean length4.0972222
Min length4

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 336
93.3%
근린상업지역 8
 
2.2%
일반상업지역 6
 
1.7%
상업지역 6
 
1.7%
일반주거지역 3
 
0.8%
준주거지역 1
 
0.3%

Length

2024-05-11T00:36:19.292038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:36:19.870057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 336
93.3%
근린상업지역 8
 
2.2%
일반상업지역 6
 
1.7%
상업지역 6
 
1.7%
일반주거지역 3
 
0.8%
준주거지역 1
 
0.3%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03060000CDFF224101200100000120011005<NA>3폐업3폐업20021118<NA><NA><NA>437-2890<NA>131812서울특별시 중랑구 면목동 53-2번지서울특별시 중랑구 용마산로86길 21-54 (면목동)<NA>화성침공2003-04-18 17:03:26I2018-08-31 23:59:59.0<NA>208527.351714453895.975145게임제공업유통관련업5주택가주변<NA>100.5641근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>근린상업지역
13060000CDFF224101200100000220011219<NA>3폐업3폐업20040831<NA><NA><NA>394-8785<NA>131803서울특별시 중랑구 망우동 341-24번지서울특별시 중랑구 망우로71길 18 (망우동)<NA>오락메니아2004-08-31 20:23:56I2018-08-31 23:59:59.0<NA>208956.980861455437.587014게임제공업유통관련업<NA><NA><NA><NA><NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23060000CDFF224101200100000320011221<NA>3폐업3폐업20020425<NA><NA><NA>492-0491<NA>131816서울특별시 중랑구 면목동 74-4번지서울특별시 중랑구 상봉로 45 (면목동)<NA>룰루랄라오락실2003-04-18 17:03:26I2018-08-31 23:59:59.0<NA>208177.04545454185.533618게임제공업유통관련업0<NA><NA>0.000근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33060000CDFF224101200100000420011221<NA>3폐업3폐업20041018<NA><NA><NA>439-4672<NA>131815서울특별시 중랑구 면목동 69-46번지서울특별시 중랑구 상봉로1길 52 (면목동)<NA>짱게임랜드2004-10-18 19:43:31I2018-08-31 23:59:59.0<NA>208030.536057453795.974554게임제공업유통관련업<NA><NA><NA><NA><NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43060000CDFF224101200100000520011221<NA>3폐업3폐업20030424<NA><NA><NA>432-2138<NA>131811서울특별시 중랑구 면목동 46-39번지서울특별시 중랑구 용마산로94길 27 (면목동)<NA>팔팔게임장2008-06-05 18:10:06I2018-08-31 23:59:59.0<NA>208615.708022454078.671897게임제공업유통관련업<NA><NA><NA><NA><NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53060000CDFF224101200100000620011224<NA>3폐업3폐업20031023<NA><NA><NA>434-1133<NA>131813서울특별시 중랑구 면목동 467-1번지서울특별시 중랑구 면목로44바길 17 (면목동)<NA>아마겟돈2003-10-23 15:28:22I2018-08-31 23:59:59.0<NA>208106.20887453285.532972게임제공업유통관련업<NA><NA><NA><NA><NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63060000CDFF224101200100000720011224<NA>4취소/말소/만료/정지/중지35직권말소20080801<NA><NA><NA>2208-7189<NA>131856서울특별시 중랑구 상봉동 247-1번지서울특별시 중랑구 상봉중앙로 52 (상봉동)<NA>아마겟돈 오락실2008-08-04 15:53:54I2018-08-31 23:59:59.0<NA>207655.087918455493.447456게임제공업유통관련업<NA><NA><NA><NA><NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73060000CDFF224101200100000820011224<NA>3폐업3폐업20020725<NA><NA><NA>2207-9530<NA>131882서울특별시 중랑구 중화동 329-73번지서울특별시 중랑구 동일로123길 98 (중화동)<NA>행운게임장2003-04-18 17:03:26I2018-08-31 23:59:59.0<NA>206567.011431455228.010833게임제공업유통관련업0<NA><NA>0.000근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83060000CDFF224101200100000920011227<NA>3폐업3폐업20070801<NA><NA><NA>435-7527<NA>131820서울특별시 중랑구 면목동 177-209번지서울특별시 중랑구 겸재로3길 28 (면목동)<NA>블랙이글2007-08-01 17:10:11I2018-08-31 23:59:59.0<NA>206701.467744453874.894472게임제공업유통관련업<NA><NA><NA><NA><NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93060000CDFF224101200100001020011227<NA>3폐업3폐업20060406<NA><NA><NA>433-0571<NA>131860서울특별시 중랑구 상봉동 115-23번지서울특별시 중랑구 망우로42길 7 (상봉동)<NA>하나컴퓨터게임장2006-04-06 16:43:52I2018-08-31 23:59:59.0<NA>207256.669208454768.150375게임제공업유통관련업<NA><NA><NA><NA><NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
3503060000CDFF224113201800000120180417<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 망우동 563-12서울특별시 중랑구 용마산로115길 106, 3층 (망우동)2163마카오게임랜드2021-07-13 14:43:03U2021-07-15 02:40:00.0<NA>208269.65503455099.578811일반게임제공업유통관련업<NA>유흥업소밀집지역황금포커성 20, 로얄고도리2 Ver.2.04 1, 환상특급 20, 사자왕 20, 소주한잔!! 20147.663<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>81<NA>청소년이용불가<NA><NA><NA>상업지역
3513060000CDFF224113201800000220180604<NA>3폐업3폐업20190822<NA><NA><NA><NA><NA><NA>서울특별시 중랑구 상봉동 88-25번지서울특별시 중랑구 봉우재로33길 92, 3층 (상봉동)2151한일 게임장2019-08-22 11:35:43U2019-08-24 02:40:00.0<NA>207894.432406454827.717385일반게임제공업유통관련업<NA><NA>다음스토리50100.643<NA>판매시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA>일반상업지역
3523060000CDFF224113201800000320180830<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 면목동 634-5 삼원빌딩서울특별시 중랑구 면목로 311, 삼원빌딩 2층 (면목동)2238준게임랜드2023-01-19 15:32:17U2022-11-30 22:01:00.0<NA>207683.608994453071.827544<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3533060000CDFF224113201800000420180919202004284취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 면목동 617-7번지 로데오모텔서울특별시 중랑구 면목로 314, 지층 (면목동)2249우리게임랜드2020-04-28 13:07:31U2020-04-30 02:40:00.0<NA>207725.11434453068.565012일반게임제공업유통관련업6<NA>라이온킹 50대, 강태공 50대281.051<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>100<NA>청소년이용불가<NA><NA><NA>일반상업지역
3543060000CDFF224113201900000120190422<NA>3폐업3폐업20201127<NA><NA><NA><NA><NA><NA>서울특별시 중랑구 상봉동 113-30 남양빌딩서울특별시 중랑구 면목로91길 6, 남양빌딩 지층 (상봉동)2137상봉성인게임장2020-11-27 18:41:55U2020-11-29 02:40:00.0<NA>207485.049013454704.772647일반게임제공업유통관련업<NA><NA>영웅문3rd 의천도 30,황금노다지 30, 불새2 30, 로얄고도리2 1, 깜깜이1(총92대)180.67<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>92<NA>청소년이용불가<NA><NA><NA>상업지역
3553060000CDFF22411320210000012021-03-18<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 상봉동 113-30서울특별시 중랑구 면목로91길 6, 지1층 (상봉동)2137상봉게임장2024-03-05 14:24:51U2023-12-03 00:07:00.0<NA>207485.049013454704.772647<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3563060000CDFF22411320210000022021-06-03<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 상봉동 92-2 시네마시티서울특별시 중랑구 망우로 328, 시네마시티 4층 401호 (상봉동)2149대형 게임랜드2024-03-14 09:54:27U2023-12-02 23:06:00.0<NA>207785.163887454948.667169<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3573060000CDFF22411320220000012022-06-10<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 망우동 508-1 무학장온천여관서울특별시 중랑구 망우로60길 31, 무학장온천여관 지층 (망우동)2169백악관 게임랜드2024-03-14 09:53:56U2023-12-02 23:06:00.0<NA>208283.960443454991.405106<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3583060000CDFF22411320220000022022-08-22<NA>3폐업3폐업2023-06-07<NA><NA><NA><NA><NA><NA>서울특별시 중랑구 망우동 506-16서울특별시 중랑구 상봉로 108, 2층 (망우동)2169로얄성인게임랜드2023-06-07 13:06:42U2022-12-06 00:09:00.0<NA>208169.082031454796.281596<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3593060000CDFF22411320230000012023-01-12<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 망우동 506-8서울특별시 중랑구 상봉로 110, 비201호 (망우동)2169상봉게임랜드2024-03-14 09:52:53U2023-12-02 23:06:00.0<NA>208172.817073454822.95174<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>