Overview

Dataset statistics

Number of variables59
Number of observations1537
Missing cells37729
Missing cells (%)41.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory761.1 KiB
Average record size in memory507.1 B

Variable types

Numeric9
Categorical17
Text8
DateTime5
Unsupported20

Dataset

Description23년11월_6270000_대구광역시_03_05_07_P_청소년게임제공업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000101296&dataSetDetailId=DDI_0000101327&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
문화체육업종명 has constant value ""Constant
문화사업자구분명 has constant value ""Constant
지하층수 is highly imbalanced (59.0%)Imbalance
건물용도명 is highly imbalanced (68.9%)Imbalance
통로너비 is highly imbalanced (57.5%)Imbalance
노래방실수 is highly imbalanced (57.5%)Imbalance
청소년실수 is highly imbalanced (57.5%)Imbalance
제공게임물명 is highly imbalanced (90.1%)Imbalance
인허가취소일자 has 1219 (79.3%) missing valuesMissing
폐업일자 has 527 (34.3%) missing valuesMissing
휴업시작일자 has 1537 (100.0%) missing valuesMissing
휴업종료일자 has 1537 (100.0%) missing valuesMissing
재개업일자 has 1537 (100.0%) missing valuesMissing
소재지전화 has 1403 (91.3%) missing valuesMissing
소재지면적 has 1537 (100.0%) missing valuesMissing
소재지우편번호 has 1387 (90.2%) missing valuesMissing
도로명전체주소 has 17 (1.1%) missing valuesMissing
도로명우편번호 has 494 (32.1%) missing valuesMissing
업태구분명 has 1537 (100.0%) missing valuesMissing
좌표정보(X) has 17 (1.1%) missing valuesMissing
좌표정보(Y) has 17 (1.1%) missing valuesMissing
총층수 has 79 (5.1%) missing valuesMissing
제작취급품목내용 has 425 (27.7%) missing valuesMissing
지상층수 has 104 (6.8%) missing valuesMissing
조명시설조도 has 1146 (74.6%) missing valuesMissing
비상계단여부 has 1537 (100.0%) missing valuesMissing
비상구여부 has 1537 (100.0%) missing valuesMissing
자동환기여부 has 1537 (100.0%) missing valuesMissing
청소년실여부 has 1537 (100.0%) missing valuesMissing
특수조명여부 has 1537 (100.0%) missing valuesMissing
방음시설여부 has 1537 (100.0%) missing valuesMissing
비디오재생기명 has 1537 (100.0%) missing valuesMissing
조명시설유무 has 1537 (100.0%) missing valuesMissing
음향시설여부 has 1537 (100.0%) missing valuesMissing
편의시설여부 has 1537 (100.0%) missing valuesMissing
소방시설여부 has 1537 (100.0%) missing valuesMissing
총게임기수 has 152 (9.9%) missing valuesMissing
기존게임업외업종명 has 1537 (100.0%) missing valuesMissing
공연장형태구분명 has 1537 (100.0%) missing valuesMissing
품목명 has 1537 (100.0%) missing valuesMissing
최초등록시점 has 1537 (100.0%) missing valuesMissing
지상층수 is highly skewed (γ1 = 26.98725347)Skewed
번호 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 18 (1.2%) zerosZeros
지상층수 has 16 (1.0%) zerosZeros
조명시설조도 has 124 (8.1%) zerosZeros

Reproduction

Analysis started2023-12-16 04:52:30.188908
Analysis finished2023-12-16 04:52:36.240814
Duration6.05 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1537
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean769
Minimum1
Maximum1537
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.6 KiB
2023-12-16T04:52:36.639155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile77.8
Q1385
median769
Q31153
95-th percentile1460.2
Maximum1537
Range1536
Interquartile range (IQR)768

Descriptive statistics

Standard deviation443.838
Coefficient of variation (CV)0.57716254
Kurtosis-1.2
Mean769
Median Absolute Deviation (MAD)384
Skewness0
Sum1181953
Variance196992.17
MonotonicityStrictly increasing
2023-12-16T04:52:37.516544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
1154 1
 
0.1%
1032 1
 
0.1%
1031 1
 
0.1%
1030 1
 
0.1%
1029 1
 
0.1%
1028 1
 
0.1%
1027 1
 
0.1%
1026 1
 
0.1%
1025 1
 
0.1%
Other values (1527) 1527
99.3%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1537 1
0.1%
1536 1
0.1%
1535 1
0.1%
1534 1
0.1%
1533 1
0.1%
1532 1
0.1%
1531 1
0.1%
1530 1
0.1%
1529 1
0.1%
1528 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
청소년게임제공업
1537 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
청소년게임제공업 1537
100.0%

Length

2023-12-16T04:52:38.779071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T04:52:39.565042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
청소년게임제공업 1537
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
03_05_07_P
1537 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03_05_07_P
2nd row03_05_07_P
3rd row03_05_07_P
4th row03_05_07_P
5th row03_05_07_P

Common Values

ValueCountFrequency (%)
03_05_07_P 1537
100.0%

Length

2023-12-16T04:52:40.394225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T04:52:41.115295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_05_07_p 1537
100.0%

개방자치단체코드
Real number (ℝ)

Distinct9
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3451154.2
Minimum3410000
Maximum5141000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.6 KiB
2023-12-16T04:52:41.630867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13430000
median3450000
Q33470000
95-th percentile3480000
Maximum5141000
Range1731000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation89072.83
Coefficient of variation (CV)0.025809577
Kurtosis335.66841
Mean3451154.2
Median Absolute Deviation (MAD)20000
Skewness17.793595
Sum5.304424 × 109
Variance7.933969 × 109
MonotonicityIncreasing
2023-12-16T04:52:42.563798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3470000 370
24.1%
3450000 248
16.1%
3430000 242
15.7%
3420000 205
13.3%
3460000 139
 
9.0%
3410000 126
 
8.2%
3480000 107
 
7.0%
3440000 96
 
6.2%
5141000 4
 
0.3%
ValueCountFrequency (%)
3410000 126
 
8.2%
3420000 205
13.3%
3430000 242
15.7%
3440000 96
 
6.2%
3450000 248
16.1%
3460000 139
 
9.0%
3470000 370
24.1%
3480000 107
 
7.0%
5141000 4
 
0.3%
ValueCountFrequency (%)
5141000 4
 
0.3%
3480000 107
 
7.0%
3470000 370
24.1%
3460000 139
 
9.0%
3450000 248
16.1%
3440000 96
 
6.2%
3430000 242
15.7%
3420000 205
13.3%
3410000 126
 
8.2%

관리번호
Text

Distinct389
Distinct (%)25.3%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
2023-12-16T04:52:43.924782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters30740
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

Unique83 ?
Unique (%)5.4%

Sample

1st rowCDFF2241142014000001
2nd rowCDFF2241142014000002
3rd rowCDFF2241142007000001
4th rowCDFF2241142007000007
5th rowCDFF2241142007000008
ValueCountFrequency (%)
cdff2241142007000001 9
 
0.6%
cdff2241142018000001 9
 
0.6%
cdff2241142017000001 9
 
0.6%
cdff2241142020000001 9
 
0.6%
cdff2241142017000002 8
 
0.5%
cdff2241142014000001 8
 
0.5%
cdff2241142010000004 8
 
0.5%
cdff2241142018000003 8
 
0.5%
cdff2241142008000004 8
 
0.5%
cdff2241142008000003 8
 
0.5%
Other values (379) 1453
94.5%
2023-12-16T04:52:45.732889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 9203
29.9%
2 5164
16.8%
1 4914
16.0%
4 3353
 
10.9%
F 3074
 
10.0%
C 1537
 
5.0%
D 1537
 
5.0%
8 468
 
1.5%
3 343
 
1.1%
7 334
 
1.1%
Other values (3) 813
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24592
80.0%
Uppercase Letter 6148
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9203
37.4%
2 5164
21.0%
1 4914
20.0%
4 3353
 
13.6%
8 468
 
1.9%
3 343
 
1.4%
7 334
 
1.4%
6 318
 
1.3%
9 269
 
1.1%
5 226
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
F 3074
50.0%
C 1537
25.0%
D 1537
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24592
80.0%
Latin 6148
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9203
37.4%
2 5164
21.0%
1 4914
20.0%
4 3353
 
13.6%
8 468
 
1.9%
3 343
 
1.4%
7 334
 
1.4%
6 318
 
1.3%
9 269
 
1.1%
5 226
 
0.9%
Latin
ValueCountFrequency (%)
F 3074
50.0%
C 1537
25.0%
D 1537
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 30740
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9203
29.9%
2 5164
16.8%
1 4914
16.0%
4 3353
 
10.9%
F 3074
 
10.0%
C 1537
 
5.0%
D 1537
 
5.0%
8 468
 
1.5%
3 343
 
1.1%
7 334
 
1.1%
Other values (3) 813
 
2.6%

인허가일자
Date

Distinct1061
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
Minimum2007-05-23 00:00:00
Maximum2023-11-03 00:00:00
2023-12-16T04:52:46.504089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T04:52:47.207997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Date

MISSING 

Distinct278
Distinct (%)87.4%
Missing1219
Missing (%)79.3%
Memory size12.1 KiB
Minimum2008-04-16 00:00:00
Maximum2022-11-30 00:00:00
2023-12-16T04:52:47.797094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T04:52:48.890959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

영업상태구분코드
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
3
905 
4
423 
1
209 

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 (%)
3 905
58.9%
4 423
27.5%
1 209
 
13.6%

Length

2023-12-16T04:52:49.692531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T04:52:50.470879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 905
58.9%
4 423
27.5%
1 209
 
13.6%

영업상태명
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
폐업
905 
취소/말소/만료/정지/중지
423 
영업/정상
209 

Length

Max length14
Median length2
Mean length5.710475
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 905
58.9%
취소/말소/만료/정지/중지 423
27.5%
영업/정상 209
 
13.6%

Length

2023-12-16T04:52:51.160510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T04:52:51.720236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 905
58.9%
취소/말소/만료/정지/중지 423
27.5%
영업/정상 209
 
13.6%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
3
903 
31
318 
13
209 
35
105 
34
 
2

Length

Max length2
Median length1
Mean length1.4124919
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 903
58.8%
31 318
 
20.7%
13 209
 
13.6%
35 105
 
6.8%
34 2
 
0.1%

Length

2023-12-16T04:52:52.584571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T04:52:53.428013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 903
58.8%
31 318
 
20.7%
13 209
 
13.6%
35 105
 
6.8%
34 2
 
0.1%

상세영업상태명
Categorical

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
폐업
903 
등록취소
318 
영업중
209 
직권말소
105 
영업장폐쇄
 
2

Length

Max length5
Median length2
Mean length2.6903058
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 903
58.8%
등록취소 318
 
20.7%
영업중 209
 
13.6%
직권말소 105
 
6.8%
영업장폐쇄 2
 
0.1%

Length

2023-12-16T04:52:54.187997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T04:52:54.742879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 903
58.8%
등록취소 318
 
20.7%
영업중 209
 
13.6%
직권말소 105
 
6.8%
영업장폐쇄 2
 
0.1%

폐업일자
Date

MISSING 

Distinct833
Distinct (%)82.5%
Missing527
Missing (%)34.3%
Memory size12.1 KiB
Minimum2007-12-26 00:00:00
Maximum2023-11-29 00:00:00
2023-12-16T04:52:55.547409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T04:52:56.634249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1537
Missing (%)100.0%
Memory size13.6 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1537
Missing (%)100.0%
Memory size13.6 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1537
Missing (%)100.0%
Memory size13.6 KiB

소재지전화
Text

MISSING 

Distinct129
Distinct (%)96.3%
Missing1403
Missing (%)91.3%
Memory size12.1 KiB
2023-12-16T04:52:57.992180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length9.6641791
Min length7

Characters and Unicode

Total characters1295
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique126 ?
Unique (%)94.0%

Sample

1st row422-7391
2nd row424-3635
3rd row053-609-3055
4th row424-9287
5th row053-423-1042
ValueCountFrequency (%)
053-620-0001 4
 
3.0%
620-0210 2
 
1.5%
614-2138 2
 
1.5%
053-614-1001 1
 
0.7%
053-782-9931 1
 
0.7%
631-1816 1
 
0.7%
6353340 1
 
0.7%
624-8802 1
 
0.7%
6538830 1
 
0.7%
053 1
 
0.7%
Other values (120) 120
88.9%
2023-12-16T04:53:00.356589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 183
14.1%
0 175
13.5%
5 160
12.4%
3 136
10.5%
2 113
8.7%
1 106
8.2%
6 99
7.6%
7 96
7.4%
8 87
6.7%
4 73
 
5.6%
Other values (3) 67
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1110
85.7%
Dash Punctuation 183
 
14.1%
Space Separator 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 175
15.8%
5 160
14.4%
3 136
12.3%
2 113
10.2%
1 106
9.5%
6 99
8.9%
7 96
8.6%
8 87
7.8%
4 73
6.6%
9 65
 
5.9%
Dash Punctuation
ValueCountFrequency (%)
- 183
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1295
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 183
14.1%
0 175
13.5%
5 160
12.4%
3 136
10.5%
2 113
8.7%
1 106
8.2%
6 99
7.6%
7 96
7.4%
8 87
6.7%
4 73
 
5.6%
Other values (3) 67
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1295
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 183
14.1%
0 175
13.5%
5 160
12.4%
3 136
10.5%
2 113
8.7%
1 106
8.2%
6 99
7.6%
7 96
7.4%
8 87
6.7%
4 73
 
5.6%
Other values (3) 67
 
5.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1537
Missing (%)100.0%
Memory size13.6 KiB

소재지우편번호
Text

MISSING 

Distinct98
Distinct (%)65.3%
Missing1387
Missing (%)90.2%
Memory size12.1 KiB
2023-12-16T04:53:01.941342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters1050
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

Unique69 ?
Unique (%)46.0%

Sample

1st row700-805
2nd row700-823
3rd row700-802
4th row700-091
5th row700-210
ValueCountFrequency (%)
702-886 5
 
3.3%
702-894 4
 
2.7%
701-829 4
 
2.7%
704-942 4
 
2.7%
701-808 4
 
2.7%
711-834 4
 
2.7%
704-940 4
 
2.7%
701-845 3
 
2.0%
704-917 3
 
2.0%
711-852 3
 
2.0%
Other values (88) 112
74.7%
2023-12-16T04:53:04.720563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 208
19.8%
7 164
15.6%
- 150
14.3%
8 126
12.0%
1 96
9.1%
2 82
 
7.8%
4 80
 
7.6%
9 46
 
4.4%
3 46
 
4.4%
6 29
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 900
85.7%
Dash Punctuation 150
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 208
23.1%
7 164
18.2%
8 126
14.0%
1 96
10.7%
2 82
 
9.1%
4 80
 
8.9%
9 46
 
5.1%
3 46
 
5.1%
6 29
 
3.2%
5 23
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 150
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 208
19.8%
7 164
15.6%
- 150
14.3%
8 126
12.0%
1 96
9.1%
2 82
 
7.8%
4 80
 
7.6%
9 46
 
4.4%
3 46
 
4.4%
6 29
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 208
19.8%
7 164
15.6%
- 150
14.3%
8 126
12.0%
1 96
9.1%
2 82
 
7.8%
4 80
 
7.6%
9 46
 
4.4%
3 46
 
4.4%
6 29
 
2.8%

소재지전체주소
Text

Distinct1351
Distinct (%)88.0%
Missing1
Missing (%)0.1%
Memory size12.1 KiB
2023-12-16T04:53:06.356500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length41
Mean length24.113281
Min length16

Characters and Unicode

Total characters37038
Distinct characters236
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

Unique1206 ?
Unique (%)78.5%

Sample

1st row대구광역시 중구 사일동 15-1번지 지상5층 522,523,524호
2nd row대구광역시 중구 남산동 609-4번지 외 1필지 지상4층
3rd row대구광역시 중구 남산동 698-22번지
4th row대구광역시 중구 동성로2가 85-5번지
5th row대구광역시 중구 공평동 59-2번지
ValueCountFrequency (%)
대구광역시 1536
21.7%
달서구 369
 
5.2%
북구 248
 
3.5%
서구 242
 
3.4%
동구 205
 
2.9%
2층 181
 
2.6%
1층 152
 
2.2%
수성구 139
 
2.0%
중구 126
 
1.8%
달성군 107
 
1.5%
Other values (1501) 3762
53.2%
2023-12-16T04:53:09.018230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7036
19.0%
구 2974
 
8.0%
1 1881
 
5.1%
동 1713
 
4.6%
대 1681
 
4.5%
시 1545
 
4.2%
역 1537
 
4.1%
광 1536
 
4.1%
- 1381
 
3.7%
지 1378
 
3.7%
Other values (226) 14376
38.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20196
54.5%
Decimal Number 7839
 
21.2%
Space Separator 7036
 
19.0%
Dash Punctuation 1381
 
3.7%
Open Punctuation 273
 
0.7%
Close Punctuation 273
 
0.7%
Other Punctuation 19
 
0.1%
Uppercase Letter 17
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 2974
14.7%
동 1713
 
8.5%
대 1681
 
8.3%
시 1545
 
7.7%
역 1537
 
7.6%
광 1536
 
7.6%
지 1378
 
6.8%
번 1180
 
5.8%
서 650
 
3.2%
층 552
 
2.7%
Other values (201) 5450
27.0%
Decimal Number
ValueCountFrequency (%)
1 1881
24.0%
2 1190
15.2%
3 875
11.2%
4 652
 
8.3%
5 633
 
8.1%
0 627
 
8.0%
6 573
 
7.3%
9 502
 
6.4%
8 488
 
6.2%
7 418
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
B 5
29.4%
S 3
17.6%
K 2
 
11.8%
C 2
 
11.8%
E 2
 
11.8%
D 1
 
5.9%
Y 1
 
5.9%
A 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 18
94.7%
/ 1
 
5.3%
Space Separator
ValueCountFrequency (%)
7036
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1381
100.0%
Open Punctuation
ValueCountFrequency (%)
( 273
100.0%
Close Punctuation
ValueCountFrequency (%)
) 273
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20196
54.5%
Common 16825
45.4%
Latin 17
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 2974
14.7%
동 1713
 
8.5%
대 1681
 
8.3%
시 1545
 
7.7%
역 1537
 
7.6%
광 1536
 
7.6%
지 1378
 
6.8%
번 1180
 
5.8%
서 650
 
3.2%
층 552
 
2.7%
Other values (201) 5450
27.0%
Common
ValueCountFrequency (%)
7036
41.8%
1 1881
 
11.2%
- 1381
 
8.2%
2 1190
 
7.1%
3 875
 
5.2%
4 652
 
3.9%
5 633
 
3.8%
0 627
 
3.7%
6 573
 
3.4%
9 502
 
3.0%
Other values (7) 1475
 
8.8%
Latin
ValueCountFrequency (%)
B 5
29.4%
S 3
17.6%
K 2
 
11.8%
C 2
 
11.8%
E 2
 
11.8%
D 1
 
5.9%
Y 1
 
5.9%
A 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20196
54.5%
ASCII 16842
45.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7036
41.8%
1 1881
 
11.2%
- 1381
 
8.2%
2 1190
 
7.1%
3 875
 
5.2%
4 652
 
3.9%
5 633
 
3.8%
0 627
 
3.7%
6 573
 
3.4%
9 502
 
3.0%
Other values (15) 1492
 
8.9%
Hangul
ValueCountFrequency (%)
구 2974
14.7%
동 1713
 
8.5%
대 1681
 
8.3%
시 1545
 
7.7%
역 1537
 
7.6%
광 1536
 
7.6%
지 1378
 
6.8%
번 1180
 
5.8%
서 650
 
3.2%
층 552
 
2.7%
Other values (201) 5450
27.0%

도로명전체주소
Text

MISSING 

Distinct1374
Distinct (%)90.4%
Missing17
Missing (%)1.1%
Memory size12.1 KiB
2023-12-16T04:53:10.662151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length50
Mean length28.407237
Min length19

Characters and Unicode

Total characters43179
Distinct characters282
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

Unique1251 ?
Unique (%)82.3%

Sample

1st row대구광역시 중구 국채보상로 585 (사일동, 지상5층 522,523,524호)
2nd row대구광역시 중구 명덕로35길 99 (남산동, 지상4층)
3rd row대구광역시 중구 명륜로 70 (남산동)
4th row대구광역시 중구 동성로 37-2 (동성로2가)
5th row대구광역시 중구 동성로6길 58 (공평동)
ValueCountFrequency (%)
대구광역시 1520
 
17.4%
달서구 368
 
4.2%
1층 322
 
3.7%
북구 246
 
2.8%
서구 241
 
2.8%
동구 205
 
2.4%
2층 181
 
2.1%
수성구 138
 
1.6%
중구 116
 
1.3%
달성군 106
 
1.2%
Other values (1367) 5268
60.5%
2023-12-16T04:53:13.822277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7611
17.6%
구 3149
 
7.3%
동 1993
 
4.6%
대 1976
 
4.6%
1 1764
 
4.1%
( 1606
 
3.7%
) 1606
 
3.7%
로 1550
 
3.6%
시 1544
 
3.6%
역 1532
 
3.5%
Other values (272) 18848
43.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24129
55.9%
Space Separator 7611
 
17.6%
Decimal Number 6770
 
15.7%
Open Punctuation 1606
 
3.7%
Close Punctuation 1606
 
3.7%
Other Punctuation 1099
 
2.5%
Dash Punctuation 322
 
0.7%
Uppercase Letter 31
 
0.1%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 3149
 
13.1%
동 1993
 
8.3%
대 1976
 
8.2%
로 1550
 
6.4%
시 1544
 
6.4%
역 1532
 
6.3%
광 1523
 
6.3%
층 916
 
3.8%
서 862
 
3.6%
달 659
 
2.7%
Other values (245) 8425
34.9%
Decimal Number
ValueCountFrequency (%)
1 1764
26.1%
2 1201
17.7%
3 747
11.0%
5 529
 
7.8%
4 523
 
7.7%
0 507
 
7.5%
6 438
 
6.5%
8 383
 
5.7%
9 343
 
5.1%
7 335
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
B 8
25.8%
A 5
16.1%
S 4
12.9%
K 4
12.9%
Y 4
12.9%
E 2
 
6.5%
M 1
 
3.2%
D 1
 
3.2%
C 1
 
3.2%
X 1
 
3.2%
Other Punctuation
ValueCountFrequency (%)
, 1098
99.9%
. 1
 
0.1%
Space Separator
ValueCountFrequency (%)
7611
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1606
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1606
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 322
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24129
55.9%
Common 19019
44.0%
Latin 31
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 3149
 
13.1%
동 1993
 
8.3%
대 1976
 
8.2%
로 1550
 
6.4%
시 1544
 
6.4%
역 1532
 
6.3%
광 1523
 
6.3%
층 916
 
3.8%
서 862
 
3.6%
달 659
 
2.7%
Other values (245) 8425
34.9%
Common
ValueCountFrequency (%)
7611
40.0%
1 1764
 
9.3%
( 1606
 
8.4%
) 1606
 
8.4%
2 1201
 
6.3%
, 1098
 
5.8%
3 747
 
3.9%
5 529
 
2.8%
4 523
 
2.7%
0 507
 
2.7%
Other values (7) 1827
 
9.6%
Latin
ValueCountFrequency (%)
B 8
25.8%
A 5
16.1%
S 4
12.9%
K 4
12.9%
Y 4
12.9%
E 2
 
6.5%
M 1
 
3.2%
D 1
 
3.2%
C 1
 
3.2%
X 1
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24129
55.9%
ASCII 19050
44.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7611
40.0%
1 1764
 
9.3%
( 1606
 
8.4%
) 1606
 
8.4%
2 1201
 
6.3%
, 1098
 
5.8%
3 747
 
3.9%
5 529
 
2.8%
4 523
 
2.7%
0 507
 
2.7%
Other values (17) 1858
 
9.8%
Hangul
ValueCountFrequency (%)
구 3149
 
13.1%
동 1993
 
8.3%
대 1976
 
8.2%
로 1550
 
6.4%
시 1544
 
6.4%
역 1532
 
6.3%
광 1523
 
6.3%
층 916
 
3.8%
서 862
 
3.6%
달 659
 
2.7%
Other values (245) 8425
34.9%

도로명우편번호
Text

MISSING 

Distinct452
Distinct (%)43.3%
Missing494
Missing (%)32.1%
Memory size12.1 KiB
2023-12-16T04:53:15.153089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.4026846
Min length5

Characters and Unicode

Total characters5635
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

Unique234 ?
Unique (%)22.4%

Sample

1st row41909
2nd row700-835
3rd row41941
4th row41941
5th row41957
ValueCountFrequency (%)
41941 24
 
2.3%
41942 23
 
2.2%
41423 20
 
1.9%
42612 12
 
1.2%
43018 12
 
1.2%
42274 12
 
1.2%
41713 11
 
1.1%
42691 11
 
1.1%
41937 10
 
1.0%
42786 9
 
0.9%
Other values (442) 899
86.2%
2023-12-16T04:53:17.259570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 1315
23.3%
1 855
15.2%
2 698
12.4%
7 539
9.6%
0 435
 
7.7%
8 412
 
7.3%
9 330
 
5.9%
3 304
 
5.4%
6 298
 
5.3%
5 239
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5425
96.3%
Dash Punctuation 210
 
3.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 1315
24.2%
1 855
15.8%
2 698
12.9%
7 539
9.9%
0 435
 
8.0%
8 412
 
7.6%
9 330
 
6.1%
3 304
 
5.6%
6 298
 
5.5%
5 239
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 210
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5635
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 1315
23.3%
1 855
15.2%
2 698
12.4%
7 539
9.6%
0 435
 
7.7%
8 412
 
7.3%
9 330
 
5.9%
3 304
 
5.4%
6 298
 
5.3%
5 239
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5635
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 1315
23.3%
1 855
15.2%
2 698
12.4%
7 539
9.6%
0 435
 
7.7%
8 412
 
7.3%
9 330
 
5.9%
3 304
 
5.4%
6 298
 
5.3%
5 239
 
4.2%

사업장명
Text

Distinct1089
Distinct (%)70.9%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
2023-12-16T04:53:18.089986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length5.6929083
Min length1

Characters and Unicode

Total characters8750
Distinct characters486
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique851 ?
Unique (%)55.4%

Sample

1st row뽑신 중앙로점
2nd row원게임랜드
3rd row남문오락실
4th row퍼니
5th row놀이마당
ValueCountFrequency (%)
게임랜드 72
 
4.2%
오락실 42
 
2.4%
대박게임랜드 17
 
1.0%
행운오락실 13
 
0.8%
황금게임랜드 13
 
0.8%
짱구게임장 11
 
0.6%
씽씽쏭쏭 10
 
0.6%
토이샵 10
 
0.6%
대박오락실 9
 
0.5%
보물섬 9
 
0.5%
Other values (1097) 1524
88.1%
2023-12-16T04:53:19.626508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
게 651
 
7.4%
임 641
 
7.3%
드 579
 
6.6%
랜 513
 
5.9%
오 495
 
5.7%
락 449
 
5.1%
실 444
 
5.1%
뽑 194
 
2.2%
193
 
2.2%
이 157
 
1.8%
Other values (476) 4434
50.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8264
94.4%
Space Separator 193
 
2.2%
Uppercase Letter 90
 
1.0%
Lowercase Letter 54
 
0.6%
Open Punctuation 46
 
0.5%
Close Punctuation 46
 
0.5%
Decimal Number 45
 
0.5%
Other Punctuation 9
 
0.1%
Dash Punctuation 2
 
< 0.1%
Currency Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
게 651
 
7.9%
임 641
 
7.8%
드 579
 
7.0%
랜 513
 
6.2%
오 495
 
6.0%
락 449
 
5.4%
실 444
 
5.4%
뽑 194
 
2.3%
이 157
 
1.9%
장 143
 
1.7%
Other values (418) 3998
48.4%
Uppercase Letter
ValueCountFrequency (%)
A 8
 
8.9%
P 8
 
8.9%
K 6
 
6.7%
G 6
 
6.7%
I 6
 
6.7%
T 6
 
6.7%
E 5
 
5.6%
N 5
 
5.6%
F 4
 
4.4%
U 4
 
4.4%
Other values (14) 32
35.6%
Lowercase Letter
ValueCountFrequency (%)
n 9
16.7%
o 7
13.0%
e 7
13.0%
y 6
11.1%
u 4
7.4%
p 3
 
5.6%
s 3
 
5.6%
a 3
 
5.6%
m 3
 
5.6%
h 2
 
3.7%
Other values (7) 7
13.0%
Decimal Number
ValueCountFrequency (%)
2 12
26.7%
4 8
17.8%
0 7
15.6%
1 7
15.6%
3 5
11.1%
8 3
 
6.7%
5 1
 
2.2%
9 1
 
2.2%
7 1
 
2.2%
Other Punctuation
ValueCountFrequency (%)
# 4
44.4%
. 4
44.4%
& 1
 
11.1%
Space Separator
ValueCountFrequency (%)
193
100.0%
Open Punctuation
ValueCountFrequency (%)
( 46
100.0%
Close Punctuation
ValueCountFrequency (%)
) 46
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8264
94.4%
Common 342
 
3.9%
Latin 144
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
게 651
 
7.9%
임 641
 
7.8%
드 579
 
7.0%
랜 513
 
6.2%
오 495
 
6.0%
락 449
 
5.4%
실 444
 
5.4%
뽑 194
 
2.3%
이 157
 
1.9%
장 143
 
1.7%
Other values (418) 3998
48.4%
Latin
ValueCountFrequency (%)
n 9
 
6.2%
A 8
 
5.6%
P 8
 
5.6%
o 7
 
4.9%
e 7
 
4.9%
K 6
 
4.2%
G 6
 
4.2%
I 6
 
4.2%
T 6
 
4.2%
y 6
 
4.2%
Other values (31) 75
52.1%
Common
ValueCountFrequency (%)
193
56.4%
( 46
 
13.5%
) 46
 
13.5%
2 12
 
3.5%
4 8
 
2.3%
0 7
 
2.0%
1 7
 
2.0%
3 5
 
1.5%
# 4
 
1.2%
. 4
 
1.2%
Other values (7) 10
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8264
94.4%
ASCII 486
 
5.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
게 651
 
7.9%
임 641
 
7.8%
드 579
 
7.0%
랜 513
 
6.2%
오 495
 
6.0%
락 449
 
5.4%
실 444
 
5.4%
뽑 194
 
2.3%
이 157
 
1.9%
장 143
 
1.7%
Other values (418) 3998
48.4%
ASCII
ValueCountFrequency (%)
193
39.7%
( 46
 
9.5%
) 46
 
9.5%
2 12
 
2.5%
n 9
 
1.9%
A 8
 
1.6%
4 8
 
1.6%
P 8
 
1.6%
o 7
 
1.4%
e 7
 
1.4%
Other values (48) 142
29.2%

최종수정시점
Date

Distinct1536
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
Minimum2007-12-26 13:17:48
Maximum2023-11-29 13:56:09
2023-12-16T04:53:20.419242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T04:53:21.155311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
I
974 
U
563 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 974
63.4%
U 563
36.6%

Length

2023-12-16T04:53:21.856635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T04:53:22.438485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 974
63.4%
u 563
36.6%

데이터갱신일자
Date

Distinct424
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-01 02:40:00
2023-12-16T04:53:22.894073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T04:53:23.628792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1537
Missing (%)100.0%
Memory size13.6 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1079
Distinct (%)71.0%
Missing17
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean342078.59
Minimum327886.99
Maximum357933.24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.6 KiB
2023-12-16T04:53:24.163434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327886.99
5-th percentile333524.55
Q1339473.33
median341301.55
Q3345039.48
95-th percentile353091.85
Maximum357933.24
Range30046.245
Interquartile range (IQR)5566.1482

Descriptive statistics

Standard deviation5155.436
Coefficient of variation (CV)0.015070911
Kurtosis0.58542369
Mean342078.59
Median Absolute Deviation (MAD)2827.3208
Skewness0.2507698
Sum5.1995946 × 108
Variance26578520
MonotonicityNot monotonic
2023-12-16T04:53:24.670455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
339638.7472774 7
 
0.5%
340333.574513192 7
 
0.5%
340820.416584639 7
 
0.5%
347970.053425989 7
 
0.5%
340616.952958188 6
 
0.4%
340793.237000053 6
 
0.4%
345554.836521868 6
 
0.4%
341301.55473492 6
 
0.4%
338200.549979674 5
 
0.3%
352335.045028381 5
 
0.3%
Other values (1069) 1458
94.9%
(Missing) 17
 
1.1%
ValueCountFrequency (%)
327886.992564244 1
 
0.1%
328011.606644568 1
 
0.1%
328011.91963949 1
 
0.1%
328048.319653221 1
 
0.1%
328545.392837163 1
 
0.1%
329310.702210649 1
 
0.1%
329739.83012979 1
 
0.1%
330013.03578216 3
0.2%
330127.224823319 1
 
0.1%
330194.168455353 1
 
0.1%
ValueCountFrequency (%)
357933.237728742 1
0.1%
356353.915440362 2
0.1%
356329.958035791 1
0.1%
356245.050638655 1
0.1%
356070.015685952 2
0.1%
355855.955513013 1
0.1%
355759.028695703 1
0.1%
355749.747027684 1
0.1%
355736.0571014 1
0.1%
355729.578667796 1
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1079
Distinct (%)71.0%
Missing17
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean263444.56
Minimum238771.73
Maximum305036.43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.6 KiB
2023-12-16T04:53:25.241709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum238771.73
5-th percentile257145.77
Q1261258.7
median264105.55
Q3266013.2
95-th percentile270737.69
Maximum305036.43
Range66264.701
Interquartile range (IQR)4754.5037

Descriptive statistics

Standard deviation5299.0303
Coefficient of variation (CV)0.020114404
Kurtosis12.256037
Mean263444.56
Median Absolute Deviation (MAD)2244.7835
Skewness0.14275267
Sum4.0043573 × 108
Variance28079722
MonotonicityNot monotonic
2023-12-16T04:53:25.721122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
258034.934254348 7
 
0.5%
264421.507192138 7
 
0.5%
266463.100546317 7
 
0.5%
265400.514996412 7
 
0.5%
266219.271085846 6
 
0.4%
272577.250457857 6
 
0.4%
260350.651119465 6
 
0.4%
262585.135012198 6
 
0.4%
260875.858690509 5
 
0.3%
260158.750203679 5
 
0.3%
Other values (1069) 1458
94.9%
(Missing) 17
 
1.1%
ValueCountFrequency (%)
238771.728900325 1
0.1%
240219.763776562 1
0.1%
240228.190340172 1
0.1%
240452.846683565 1
0.1%
240453.11628455 1
0.1%
244532.532589328 1
0.1%
244540.724663233 1
0.1%
244588.359288703 1
0.1%
244588.687564538 1
0.1%
244602.495259684 1
0.1%
ValueCountFrequency (%)
305036.430197833 1
 
0.1%
304968.007766064 1
 
0.1%
304641.055852744 1
 
0.1%
304474.727429222 1
 
0.1%
277784.134758359 1
 
0.1%
273780.0839881 1
 
0.1%
273573.031507575 1
 
0.1%
273543.383721685 3
0.2%
273385.329699692 1
 
0.1%
272975.982996994 1
 
0.1%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
청소년게임제공업
1537 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
청소년게임제공업 1537
100.0%

Length

2023-12-16T04:53:26.155248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T04:53:26.462568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
청소년게임제공업 1537
100.0%

문화사업자구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
유통관련업
1537 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 1537
100.0%

Length

2023-12-16T04:53:26.780492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T04:53:27.060367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 1537
100.0%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct20
Distinct (%)1.4%
Missing79
Missing (%)5.1%
Infinite0
Infinite (%)0.0%
Mean4.2846365
Minimum0
Maximum22
Zeros18
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size13.6 KiB
2023-12-16T04:53:27.434895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median4
Q35
95-th percentile8
Maximum22
Range22
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.3307317
Coefficient of variation (CV)0.54397419
Kurtosis7.4889451
Mean4.2846365
Median Absolute Deviation (MAD)1
Skewness1.8470589
Sum6247
Variance5.4323101
MonotonicityNot monotonic
2023-12-16T04:53:27.866835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
4 321
20.9%
5 291
18.9%
3 271
17.6%
2 163
10.6%
6 162
10.5%
1 91
 
5.9%
7 53
 
3.4%
8 23
 
1.5%
9 20
 
1.3%
0 18
 
1.2%
Other values (10) 45
 
2.9%
(Missing) 79
 
5.1%
ValueCountFrequency (%)
0 18
 
1.2%
1 91
 
5.9%
2 163
10.6%
3 271
17.6%
4 321
20.9%
5 291
18.9%
6 162
10.5%
7 53
 
3.4%
8 23
 
1.5%
9 20
 
1.3%
ValueCountFrequency (%)
22 1
 
0.1%
19 1
 
0.1%
17 2
 
0.1%
16 2
 
0.1%
15 5
0.3%
14 3
 
0.2%
13 4
 
0.3%
12 9
0.6%
11 7
0.5%
10 11
0.7%

주변환경명
Categorical

Distinct8
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
기타
683 
<NA>
539 
주택가주변
129 
유흥업소밀집지역
119 
학교정화(상대)
 
41
Other values (3)
 
26

Length

Max length8
Median length7
Mean length3.6330514
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
기타 683
44.4%
<NA> 539
35.1%
주택가주변 129
 
8.4%
유흥업소밀집지역 119
 
7.7%
학교정화(상대) 41
 
2.7%
아파트지역 23
 
1.5%
결혼예식장주변 2
 
0.1%
학교정화(절대) 1
 
0.1%

Length

2023-12-16T04:53:28.407959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T04:53:29.323965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 683
44.4%
na 539
35.1%
주택가주변 129
 
8.4%
유흥업소밀집지역 119
 
7.7%
학교정화(상대 41
 
2.7%
아파트지역 23
 
1.5%
결혼예식장주변 2
 
0.1%
학교정화(절대 1
 
0.1%

제작취급품목내용
Text

MISSING 

Distinct903
Distinct (%)81.2%
Missing425
Missing (%)27.7%
Memory size12.1 KiB
2023-12-16T04:53:30.321398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length167
Median length101
Mean length14.750899
Min length1

Characters and Unicode

Total characters16403
Distinct characters511
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique809 ?
Unique (%)72.8%

Sample

1st row북두의 권
2nd row마켓크레프트3
3rd row뽀끼뽀끼2
4th row스마일토이
5th row코코짱, 짱
ValueCountFrequency (%)
1대 72
 
2.7%
1 61
 
2.3%
토이즈팝 55
 
2.1%
40대 33
 
1.2%
곰탱이 32
 
1.2%
28
 
1.1%
아케이드게임 28
 
1.1%
유니온 27
 
1.0%
알라딘 26
 
1.0%
외 23
 
0.9%
Other values (1329) 2276
85.5%
2023-12-16T04:53:31.950366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1551
 
9.5%
, 735
 
4.5%
1 578
 
3.5%
이 509
 
3.1%
0 479
 
2.9%
대 450
 
2.7%
( 448
 
2.7%
) 438
 
2.7%
2 395
 
2.4%
스 364
 
2.2%
Other values (501) 10456
63.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9208
56.1%
Decimal Number 2084
 
12.7%
Space Separator 1551
 
9.5%
Uppercase Letter 1103
 
6.7%
Other Punctuation 816
 
5.0%
Lowercase Letter 500
 
3.0%
Open Punctuation 448
 
2.7%
Close Punctuation 438
 
2.7%
Dash Punctuation 247
 
1.5%
Control 4
 
< 0.1%
Other values (2) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 509
 
5.5%
대 450
 
4.9%
스 364
 
4.0%
아 231
 
2.5%
토 219
 
2.4%
드 217
 
2.4%
트 210
 
2.3%
즈 150
 
1.6%
리 131
 
1.4%
오 130
 
1.4%
Other values (427) 6597
71.6%
Uppercase Letter
ValueCountFrequency (%)
C 165
15.0%
A 152
13.8%
N 125
11.3%
O 82
 
7.4%
T 70
 
6.3%
E 61
 
5.5%
P 53
 
4.8%
S 49
 
4.4%
R 43
 
3.9%
I 36
 
3.3%
Other values (16) 267
24.2%
Lowercase Letter
ValueCountFrequency (%)
o 60
12.0%
e 55
11.0%
n 49
 
9.8%
a 38
 
7.6%
s 37
 
7.4%
i 28
 
5.6%
r 26
 
5.2%
u 25
 
5.0%
p 25
 
5.0%
l 24
 
4.8%
Other values (14) 133
26.6%
Decimal Number
ValueCountFrequency (%)
1 578
27.7%
0 479
23.0%
2 395
19.0%
4 161
 
7.7%
3 135
 
6.5%
5 102
 
4.9%
8 71
 
3.4%
6 57
 
2.7%
9 55
 
2.6%
7 51
 
2.4%
Other Punctuation
ValueCountFrequency (%)
, 735
90.1%
: 45
 
5.5%
. 28
 
3.4%
/ 6
 
0.7%
& 1
 
0.1%
' 1
 
0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅲ 1
33.3%
Space Separator
ValueCountFrequency (%)
1551
100.0%
Open Punctuation
ValueCountFrequency (%)
( 448
100.0%
Close Punctuation
ValueCountFrequency (%)
) 438
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 247
100.0%
Control
ValueCountFrequency (%)
4
100.0%
Other Symbol
ValueCountFrequency (%)
★ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9202
56.1%
Common 5589
34.1%
Latin 1606
 
9.8%
Han 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 509
 
5.5%
대 450
 
4.9%
스 364
 
4.0%
아 231
 
2.5%
토 219
 
2.4%
드 217
 
2.4%
트 210
 
2.3%
즈 150
 
1.6%
리 131
 
1.4%
오 130
 
1.4%
Other values (424) 6591
71.6%
Latin
ValueCountFrequency (%)
C 165
 
10.3%
A 152
 
9.5%
N 125
 
7.8%
O 82
 
5.1%
T 70
 
4.4%
E 61
 
3.8%
o 60
 
3.7%
e 55
 
3.4%
P 53
 
3.3%
n 49
 
3.1%
Other values (42) 734
45.7%
Common
ValueCountFrequency (%)
1551
27.8%
, 735
13.2%
1 578
 
10.3%
0 479
 
8.6%
( 448
 
8.0%
) 438
 
7.8%
2 395
 
7.1%
- 247
 
4.4%
4 161
 
2.9%
3 135
 
2.4%
Other values (12) 422
 
7.6%
Han
ValueCountFrequency (%)
新 2
33.3%
神 2
33.3%
女 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9202
56.1%
ASCII 7191
43.8%
CJK 4
 
< 0.1%
Number Forms 3
 
< 0.1%
CJK Compat Ideographs 2
 
< 0.1%
Misc Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1551
21.6%
, 735
 
10.2%
1 578
 
8.0%
0 479
 
6.7%
( 448
 
6.2%
) 438
 
6.1%
2 395
 
5.5%
- 247
 
3.4%
C 165
 
2.3%
4 161
 
2.2%
Other values (61) 1994
27.7%
Hangul
ValueCountFrequency (%)
이 509
 
5.5%
대 450
 
4.9%
스 364
 
4.0%
아 231
 
2.5%
토 219
 
2.4%
드 217
 
2.4%
트 210
 
2.3%
즈 150
 
1.6%
리 131
 
1.4%
오 130
 
1.4%
Other values (424) 6591
71.6%
CJK
ValueCountFrequency (%)
新 2
50.0%
神 2
50.0%
CJK Compat Ideographs
ValueCountFrequency (%)
女 2
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅲ 1
33.3%
Misc Symbols
ValueCountFrequency (%)
★ 1
100.0%

시설면적
Real number (ℝ)

Distinct1265
Distinct (%)82.4%
Missing1
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean125.43668
Minimum9
Maximum1239.74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.6 KiB
2023-12-16T04:53:32.477614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile24.575
Q159.1525
median115.2
Q3169.65
95-th percentile260.39
Maximum1239.74
Range1230.74
Interquartile range (IQR)110.4975

Descriptive statistics

Standard deviation90.748487
Coefficient of variation (CV)0.72346053
Kurtosis30.538051
Mean125.43668
Median Absolute Deviation (MAD)54.71
Skewness3.4360738
Sum192670.74
Variance8235.2878
MonotonicityNot monotonic
2023-12-16T04:53:33.598898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
110.48 6
 
0.4%
210.0 6
 
0.4%
132.0 6
 
0.4%
115.2 5
 
0.3%
170.86 5
 
0.3%
118.0 5
 
0.3%
195.17 4
 
0.3%
48.0 4
 
0.3%
99.0 4
 
0.3%
207.92 4
 
0.3%
Other values (1255) 1487
96.7%
ValueCountFrequency (%)
9.0 2
0.1%
9.8 1
0.1%
10.08 1
0.1%
10.32 1
0.1%
11.38 1
0.1%
11.7 1
0.1%
12.3 2
0.1%
13.0 1
0.1%
13.05 1
0.1%
13.2 1
0.1%
ValueCountFrequency (%)
1239.74 1
0.1%
1167.46 1
0.1%
859.56 1
0.1%
685.4 1
0.1%
667.56 1
0.1%
612.78 1
0.1%
498.83 1
0.1%
484.06 1
0.1%
453.08 1
0.1%
445.26 1
0.1%

지상층수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct15
Distinct (%)1.0%
Missing104
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean2.1277041
Minimum0
Maximum123
Zeros16
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size13.6 KiB
2023-12-16T04:53:34.380479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q32
95-th percentile5
Maximum123
Range123
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.5882363
Coefficient of variation (CV)1.6864358
Kurtosis900.58909
Mean2.1277041
Median Absolute Deviation (MAD)1
Skewness26.987253
Sum3049
Variance12.87544
MonotonicityNot monotonic
2023-12-16T04:53:35.258748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
1 681
44.3%
2 405
26.4%
3 148
 
9.6%
4 71
 
4.6%
5 60
 
3.9%
0 16
 
1.0%
7 16
 
1.0%
6 15
 
1.0%
9 5
 
0.3%
8 5
 
0.3%
Other values (5) 11
 
0.7%
(Missing) 104
 
6.8%
ValueCountFrequency (%)
0 16
 
1.0%
1 681
44.3%
2 405
26.4%
3 148
 
9.6%
4 71
 
4.6%
5 60
 
3.9%
6 15
 
1.0%
7 16
 
1.0%
8 5
 
0.3%
9 5
 
0.3%
ValueCountFrequency (%)
123 1
 
0.1%
15 2
 
0.1%
14 1
 
0.1%
12 3
 
0.2%
10 4
 
0.3%
9 5
 
0.3%
8 5
 
0.3%
7 16
 
1.0%
6 15
 
1.0%
5 60
3.9%

지하층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
<NA>
1191 
1
200 
0
126 
2
 
13
3
 
6

Length

Max length4
Median length4
Mean length3.3246584
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1191
77.5%
1 200
 
13.0%
0 126
 
8.2%
2 13
 
0.8%
3 6
 
0.4%
4 1
 
0.1%

Length

2023-12-16T04:53:36.060835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T04:53:36.909994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1191
77.5%
1 200
 
13.0%
0 126
 
8.2%
2 13
 
0.8%
3 6
 
0.4%
4 1
 
0.1%

건물용도명
Categorical

IMBALANCE 

Distinct16
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
근린생활시설
1154 
<NA>
267 
판매시설
 
42
사무실
 
23
기타
 
18
Other values (11)
 
33

Length

Max length15
Median length6
Mean length5.482108
Min length2

Unique

Unique3 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
근린생활시설 1154
75.1%
<NA> 267
 
17.4%
판매시설 42
 
2.7%
사무실 23
 
1.5%
기타 18
 
1.2%
유기장 7
 
0.5%
환경위생시설 7
 
0.5%
식품위생시설 4
 
0.3%
유통시설 3
 
0.2%
단독주택 3
 
0.2%
Other values (6) 9
 
0.6%

Length

2023-12-16T04:53:37.841151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
근린생활시설 1154
75.0%
na 267
 
17.4%
판매시설 42
 
2.7%
사무실 23
 
1.5%
기타 18
 
1.2%
유기장 7
 
0.5%
환경위생시설 7
 
0.5%
식품위생시설 4
 
0.3%
단독주택 3
 
0.2%
유통시설 3
 
0.2%
Other values (7) 10
 
0.7%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
<NA>
1404 
0
 
133

Length

Max length4
Median length4
Mean length3.7404034
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1404
91.3%
0 133
 
8.7%

Length

2023-12-16T04:53:38.795492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T04:53:39.182820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1404
91.3%
0 133
 
8.7%

조명시설조도
Real number (ℝ)

MISSING  ZEROS 

Distinct25
Distinct (%)6.4%
Missing1146
Missing (%)74.6%
Infinite0
Infinite (%)0.0%
Mean38.276215
Minimum0
Maximum400
Zeros124
Zeros (%)8.1%
Negative0
Negative (%)0.0%
Memory size13.6 KiB
2023-12-16T04:53:39.731630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median40
Q350
95-th percentile90
Maximum400
Range400
Interquartile range (IQR)50

Descriptive statistics

Standard deviation41.759573
Coefficient of variation (CV)1.0910058
Kurtosis21.778068
Mean38.276215
Median Absolute Deviation (MAD)10
Skewness3.4490938
Sum14966
Variance1743.862
MonotonicityNot monotonic
2023-12-16T04:53:40.495390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
40 147
 
9.6%
0 124
 
8.1%
50 34
 
2.2%
60 18
 
1.2%
70 17
 
1.1%
80 11
 
0.7%
45 9
 
0.6%
150 4
 
0.3%
130 4
 
0.3%
42 4
 
0.3%
Other values (15) 19
 
1.2%
(Missing) 1146
74.6%
ValueCountFrequency (%)
0 124
8.1%
12 1
 
0.1%
40 147
9.6%
42 4
 
0.3%
43 2
 
0.1%
45 9
 
0.6%
50 34
 
2.2%
55 3
 
0.2%
60 18
 
1.2%
70 17
 
1.1%
ValueCountFrequency (%)
400 1
 
0.1%
320 1
 
0.1%
250 1
 
0.1%
220 1
 
0.1%
200 1
 
0.1%
180 1
 
0.1%
150 4
0.3%
130 4
0.3%
120 1
 
0.1%
110 1
 
0.1%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
<NA>
1404 
0
 
133

Length

Max length4
Median length4
Mean length3.7404034
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1404
91.3%
0 133
 
8.7%

Length

2023-12-16T04:53:41.222183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T04:53:41.874549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1404
91.3%
0 133
 
8.7%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
<NA>
1404 
0
 
133

Length

Max length4
Median length4
Mean length3.7404034
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1404
91.3%
0 133
 
8.7%

Length

2023-12-16T04:53:42.522569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T04:53:43.113059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1404
91.3%
0 133
 
8.7%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1537
Missing (%)100.0%
Memory size13.6 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1537
Missing (%)100.0%
Memory size13.6 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1537
Missing (%)100.0%
Memory size13.6 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1537
Missing (%)100.0%
Memory size13.6 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1537
Missing (%)100.0%
Memory size13.6 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1537
Missing (%)100.0%
Memory size13.6 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1537
Missing (%)100.0%
Memory size13.6 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1537
Missing (%)100.0%
Memory size13.6 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1537
Missing (%)100.0%
Memory size13.6 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1537
Missing (%)100.0%
Memory size13.6 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1537
Missing (%)100.0%
Memory size13.6 KiB

총게임기수
Real number (ℝ)

MISSING 

Distinct68
Distinct (%)4.9%
Missing152
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean30.356679
Minimum0
Maximum168
Zeros5
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size13.6 KiB
2023-12-16T04:53:43.534772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q115
median40
Q340
95-th percentile50
Maximum168
Range168
Interquartile range (IQR)25

Descriptive statistics

Standard deviation15.460228
Coefficient of variation (CV)0.50928588
Kurtosis4.1524351
Mean30.356679
Median Absolute Deviation (MAD)10
Skewness0.51880173
Sum42044
Variance239.01864
MonotonicityNot monotonic
2023-12-16T04:53:44.327701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40 560
36.4%
10 68
 
4.4%
50 57
 
3.7%
30 51
 
3.3%
20 51
 
3.3%
12 44
 
2.9%
11 35
 
2.3%
8 34
 
2.2%
14 30
 
2.0%
13 28
 
1.8%
Other values (58) 427
27.8%
(Missing) 152
 
9.9%
ValueCountFrequency (%)
0 5
 
0.3%
1 5
 
0.3%
2 1
 
0.1%
4 5
 
0.3%
5 13
 
0.8%
6 12
 
0.8%
7 25
 
1.6%
8 34
2.2%
9 25
 
1.6%
10 68
4.4%
ValueCountFrequency (%)
168 1
 
0.1%
100 2
0.1%
98 1
 
0.1%
84 1
 
0.1%
78 1
 
0.1%
72 1
 
0.1%
70 2
0.1%
66 1
 
0.1%
64 3
0.2%
62 1
 
0.1%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1537
Missing (%)100.0%
Memory size13.6 KiB

제공게임물명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
전체이용가
1495 
<NA>
 
37
청소년이용불가
 
4
전체이용가 및 청소년이용불가
 
1

Length

Max length15
Median length5
Mean length4.9876383
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
전체이용가 1495
97.3%
<NA> 37
 
2.4%
청소년이용불가 4
 
0.3%
전체이용가 및 청소년이용불가 1
 
0.1%

Length

2023-12-16T04:53:44.995082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T04:53:45.412277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전체이용가 1496
97.2%
na 37
 
2.4%
청소년이용불가 5
 
0.3%
및 1
 
0.1%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1537
Missing (%)100.0%
Memory size13.6 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1537
Missing (%)100.0%
Memory size13.6 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1537
Missing (%)100.0%
Memory size13.6 KiB

지역구분명
Categorical

Distinct13
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
일반주거지역
422 
일반상업지역
280 
<NA>
222 
중심상업지역
215 
근린상업지역
168 
Other values (8)
230 

Length

Max length6
Median length6
Mean length5.5152895
Min length4

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row중심상업지역
2nd row일반주거지역
3rd row중심상업지역
4th row중심상업지역
5th row중심상업지역

Common Values

ValueCountFrequency (%)
일반주거지역 422
27.5%
일반상업지역 280
18.2%
<NA> 222
14.4%
중심상업지역 215
14.0%
근린상업지역 168
 
10.9%
준주거지역 113
 
7.4%
상업지역 51
 
3.3%
주거지역 38
 
2.5%
자연녹지지역 13
 
0.8%
일반공업지역 7
 
0.5%
Other values (3) 8
 
0.5%

Length

2023-12-16T04:53:45.938382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반주거지역 422
27.5%
일반상업지역 280
18.2%
na 222
14.4%
중심상업지역 215
14.0%
근린상업지역 168
 
10.9%
준주거지역 113
 
7.4%
상업지역 51
 
3.3%
주거지역 38
 
2.5%
자연녹지지역 13
 
0.8%
일반공업지역 7
 
0.5%
Other values (3) 8
 
0.5%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
01청소년게임제공업03_05_07_P3410000CDFF22411420140000012014-02-27<NA>3폐업3폐업2019-05-16<NA><NA><NA><NA><NA><NA>대구광역시 중구 사일동 15-1번지 지상5층 522,523,524호대구광역시 중구 국채보상로 585 (사일동, 지상5층 522,523,524호)41909뽑신 중앙로점2019-05-16 14:49:13U2019-05-18 02:40:00<NA>343932.18838264630.944873청소년게임제공업유통관련업5기타<NA>56.325<NA>판매시설<NA>40<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>9<NA>전체이용가<NA><NA><NA>중심상업지역
12청소년게임제공업03_05_07_P3410000CDFF22411420140000022014-06-18<NA>3폐업3폐업2014-12-29<NA><NA><NA><NA><NA><NA>대구광역시 중구 남산동 609-4번지 외 1필지 지상4층대구광역시 중구 명덕로35길 99 (남산동, 지상4층)700-835원게임랜드2014-12-29 12:05:12I2018-08-31 23:59:59<NA>343517.568849263484.130401청소년게임제공업유통관련업4기타북두의 권154.841사무실<NA>40<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>47<NA>전체이용가<NA><NA><NA>일반주거지역
23청소년게임제공업03_05_07_P3410000CDFF22411420070000012007-11-07<NA>3폐업3폐업2013-11-08<NA><NA><NA><NA><NA><NA>대구광역시 중구 남산동 698-22번지대구광역시 중구 명륜로 70 (남산동)<NA>남문오락실2013-11-08 13:19:10I2018-08-31 23:59:59<NA>343722.34105263487.941195청소년게임제공업유통관련업6<NA><NA>26.41<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>17<NA><NA><NA><NA><NA>중심상업지역
34청소년게임제공업03_05_07_P3410000CDFF22411420070000072007-11-20<NA>3폐업3폐업2012-03-22<NA><NA><NA>422-7391<NA><NA>대구광역시 중구 동성로2가 85-5번지대구광역시 중구 동성로 37-2 (동성로2가)<NA>퍼니2012-03-22 11:53:56I2018-08-31 23:59:59<NA>344013.463572264506.775756청소년게임제공업유통관련업2<NA><NA>318.0912<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>98<NA>전체이용가<NA><NA><NA>중심상업지역
45청소년게임제공업03_05_07_P3410000CDFF22411420070000082007-11-20<NA>3폐업3폐업2013-12-06<NA><NA><NA>424-3635<NA><NA>대구광역시 중구 공평동 59-2번지대구광역시 중구 동성로6길 58 (공평동)<NA>놀이마당2013-12-06 16:17:28I2018-08-31 23:59:59<NA>344291.561756264313.91375청소년게임제공업유통관련업5<NA><NA>115.161<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>43<NA>전체이용가<NA><NA><NA>중심상업지역
56청소년게임제공업03_05_07_P3410000CDFF22411420070000092007-11-23<NA>3폐업3폐업2017-11-30<NA><NA><NA>053-609-3055<NA><NA>대구광역시 중구 사일동 15-1번지대구광역시 중구 국채보상로 585 (사일동)<NA>(주)안다미로엔터동성로점2017-11-30 15:53:13I2018-08-31 23:59:59<NA>343932.18838264630.944873청소년게임제공업유통관련업9<NA><NA>231.175<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>33<NA>전체이용가<NA><NA><NA>중심상업지역
67청소년게임제공업03_05_07_P3410000CDFF22411420080000012008-02-01<NA>3폐업3폐업2009-11-12<NA><NA><NA>424-9287<NA><NA>대구광역시 중구 태평로1가 9-1번지대구광역시 중구 태평로 182 (태평로1가)<NA>구상오락실2009-11-12 11:25:57I2018-08-31 23:59:59<NA>344188.495597264967.126466청소년게임제공업유통관련업1<NA><NA>142.481<NA><NA><NA>40<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>35<NA>전체이용가<NA><NA><NA>중심상업지역
78청소년게임제공업03_05_07_P3410000CDFF22411420160000292016-11-22<NA>3폐업3폐업2017-05-16<NA><NA><NA><NA><NA><NA>대구광역시 중구 동성로2가 152-4번지 지상1층대구광역시 중구 동성로6길 2-11 (동성로2가, 지상1층)41941뽑기왕2017-06-28 15:53:07I2018-08-31 23:59:59<NA><NA><NA>청소년게임제공업유통관련업1기타마켓크레프트340.81<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20<NA>전체이용가<NA><NA><NA>중심상업지역
89청소년게임제공업03_05_07_P3410000CDFF22411420160000302016-12-06<NA>3폐업3폐업2018-09-04<NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동1가 5-2번지 몰디브코리아빌딩 103호대구광역시 중구 동성로5길 25 (삼덕동1가, 몰디브코리아빌딩 103호)41941토이짱2018-09-04 14:47:37U2018-09-04 23:59:59<NA>344075.953606264266.216087청소년게임제공업유통관련업8기타뽀끼뽀끼262.51<NA>판매시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20<NA>전체이용가<NA><NA><NA>중심상업지역
910청소년게임제공업03_05_07_P3410000CDFF22411420160000312016-12-09<NA>3폐업3폐업2017-07-10<NA><NA><NA><NA><NA><NA>대구광역시 중구 덕산동 88번지 메트로센터 지하1층 C111대구광역시 중구 달구벌대로 2100 (덕산동, 반월당역)41957뽑기탕탕2017-07-10 09:56:57I2018-08-31 23:59:59<NA>343820.40768264018.87607청소년게임제공업유통관련업<NA>기타스마일토이20.24<NA>1판매시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>10<NA>전체이용가<NA><NA><NA>중심상업지역
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
15271528청소년게임제공업03_05_07_P3480000CDFF22411420120000022012-06-15<NA>3폐업3폐업2013-03-20<NA><NA><NA><NA><NA><NA>대구광역시 달성군 논공읍 북리 803-210번지 (1층)대구광역시 달성군 논공읍 논공로5길 229, 1층711-854세븐게임랜드2013-03-20 13:08:10I2018-08-31 23:59:59<NA>330796.571386248892.6406청소년게임제공업유통관련업3기타레전드오브히어로(CC-NA-110128-002)382.01<NA>근린생활시설<NA>50<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>40<NA>전체이용가<NA><NA><NA>일반주거지역
15281529청소년게임제공업03_05_07_P3480000CDFF22411420120000032012-08-01<NA>3폐업3폐업2013-10-08<NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍면 부리 451-1번지 외3필지 (1층)대구광역시 달성군 현풍면 현풍중앙로 94, 1층711-872행운 게임랜드2013-10-08 15:13:10I2018-08-31 23:59:59<NA>330472.771478245132.142998청소년게임제공업유통관련업5기타레전드 오브 히어로 스페샬에디션193.511<NA>근린생활시설<NA>50<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>50<NA>전체이용가<NA><NA><NA>일반상업지역
15291530청소년게임제공업03_05_07_P3480000CDFF22411420120000042012-08-31<NA>3폐업3폐업2014-08-06<NA><NA><NA><NA><NA><NA>대구광역시 달성군 화원읍 본리리 65-2번지 1층대구광역시 달성군 화원읍 명천로 80, 1층711-838보물섬오락실2014-08-06 13:40:12I2018-08-31 23:59:59<NA>336324.499523256954.272329청소년게임제공업유통관련업1기타정글나라3(제CC-NA-120803-002호)113.01<NA>근린생활시설<NA>50<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>40<NA>전체이용가<NA><NA><NA>일반주거지역
15301531청소년게임제공업03_05_07_P3480000CDFF22411420120000062012-10-11<NA>3폐업3폐업2014-06-26<NA><NA><NA>053-614-1001<NA><NA>대구광역시 달성군 논공읍 북리 824-22번지 1층대구광역시 달성군 논공읍 용호로1길 3, 1층711-854주례게임랜드2014-06-26 11:32:36I2018-08-31 23:59:59<NA>330665.422267248514.749702청소년게임제공업유통관련업3기타우주대전2(제CC-NA-120905-009호)144.01<NA>근린생활시설<NA>50<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>44<NA>전체이용가<NA><NA><NA>일반주거지역
15311532청소년게임제공업03_05_07_P3480000CDFF22411420080000112008-07-23<NA>3폐업3폐업2009-03-09<NA><NA><NA><NA><NA>711-852대구광역시 달성군 논공읍 북리 803-144번지대구광역시 달성군 논공읍 논공로9길 89-9<NA>논공오락실2009-03-09 17:35:33I2018-08-31 23:59:59<NA>330564.507909248699.708476청소년게임제공업유통관련업3<NA><NA>102.621<NA>근린생활시설<NA>180<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>47<NA>전체이용가<NA><NA><NA>일반주거지역
15321533청소년게임제공업03_05_07_P3480000CDFF22411420080000122008-07-31<NA>3폐업3폐업2010-03-24<NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 서재리 175번지대구광역시 달성군 다사읍 서재로 66<NA>와룡게임랜드2010-03-24 16:59:57I2018-08-31 23:59:59<NA>335132.501597264286.662865청소년게임제공업유통관련업1<NA><NA>172.331<NA>근린생활시설<NA>60<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>40<NA>전체이용가<NA><NA><NA>준주거지역
15331534청소년게임제공업03_05_07_P5141000CDFF22411420070000012007-11-21<NA>3폐업3폐업2017-12-31<NA><NA><NA>383-3105<NA><NA>대구광역시 군위군 군위읍 서부리 254-1대구광역시 군위군 군위읍 동서길 36-143117챔피언 컴퓨터 오락실2018-01-05 16:27:01I2023-07-01 16:42:10<NA>340698.548526305036.430198청소년게임제공업유통관련업1기타<NA>93.3900근린생활시설0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA>전체이용가<NA><NA><NA>일반주거지역
15341535청소년게임제공업03_05_07_P5141000CDFF22411420180000012018-02-20<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 군위군 군위읍 서부리 126-9 1층대구광역시 군위군 군위읍 중앙길 23, 1층43118알라딘샵2018-02-20 09:44:02I2023-07-01 16:42:10<NA>340861.682993304474.727429청소년게임제공업유통관련업2기타골든박스, 코샵, 알파, 썬컷29.0120근린생활시설0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>8<NA>전체이용가<NA><NA><NA>일반상업지역
15351536청소년게임제공업03_05_07_P5141000CDFF22411420170000012017-12-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 군위군 군위읍 서부리 159-2대구광역시 군위군 군위읍 중앙길 4343118뽀바방(군위점)2022-03-04 13:29:17I2023-07-01 16:42:10<NA>340757.213152304641.055853청소년게임제공업유통관련업0기타인형뽑기 8대17.1600<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>8<NA>전체이용가<NA><NA><NA>상업지역
15361537청소년게임제공업03_05_07_P5141000CDFF22411420200000012020-08-03<NA>3폐업3폐업2022-12-16<NA><NA><NA><NA><NA><NA>대구광역시 군위군 군위읍 서부리 262-9대구광역시 군위군 군위읍 중앙길 75-143117뽑기펑2022-12-19 08:29:42I2023-07-01 16:42:10<NA>340740.932618304968.007766청소년게임제공업유통관련업1기타코코짱 5대, 갤럭시 펄스 1대33.7410근린생활시설0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>6<NA>전체이용가<NA><NA><NA>일반상업지역