Overview

Dataset statistics

Number of variables59
Number of observations2597
Missing cells73642
Missing cells (%)48.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 MiB
Average record size in memory513.1 B

Variable types

Numeric15
Categorical14
Text6
Unsupported23
DateTime1

Dataset

Description6270000_대구광역시_03_05_05_P_인터넷컴퓨터게임시설제공업_5월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000089786&dataSetDetailId=DDI_0000089812&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
문화체육업종명 has constant value ""Constant
문화사업자구분명 has constant value ""Constant
지하층수 is highly imbalanced (71.7%)Imbalance
건물용도명 is highly imbalanced (70.2%)Imbalance
인허가취소일자 has 2425 (93.4%) missing valuesMissing
폐업일자 has 1013 (39.0%) missing valuesMissing
휴업시작일자 has 2597 (100.0%) missing valuesMissing
휴업종료일자 has 2597 (100.0%) missing valuesMissing
재개업일자 has 2597 (100.0%) missing valuesMissing
소재지전화 has 2235 (86.1%) missing valuesMissing
소재지면적 has 2597 (100.0%) missing valuesMissing
소재지우편번호 has 2466 (95.0%) missing valuesMissing
도로명우편번호 has 811 (31.2%) missing valuesMissing
업태구분명 has 2597 (100.0%) missing valuesMissing
총층수 has 133 (5.1%) missing valuesMissing
제작취급품목내용 has 2520 (97.0%) missing valuesMissing
지상층수 has 184 (7.1%) missing valuesMissing
통로너비 has 2597 (100.0%) missing valuesMissing
조명시설조도 has 1934 (74.5%) missing valuesMissing
노래방실수 has 2597 (100.0%) missing valuesMissing
청소년실수 has 2597 (100.0%) missing valuesMissing
비상계단여부 has 2597 (100.0%) missing valuesMissing
비상구여부 has 2597 (100.0%) missing valuesMissing
자동환기여부 has 2597 (100.0%) missing valuesMissing
청소년실여부 has 2597 (100.0%) missing valuesMissing
특수조명여부 has 2597 (100.0%) missing valuesMissing
방음시설여부 has 2597 (100.0%) missing valuesMissing
비디오재생기명 has 2597 (100.0%) missing valuesMissing
조명시설유무 has 2597 (100.0%) missing valuesMissing
음향시설여부 has 2597 (100.0%) missing valuesMissing
편의시설여부 has 2597 (100.0%) missing valuesMissing
소방시설여부 has 2597 (100.0%) missing valuesMissing
총게임기수 has 142 (5.5%) missing valuesMissing
기존게임업외업종명 has 2597 (100.0%) missing valuesMissing
공연장형태구분명 has 2597 (100.0%) missing valuesMissing
품목명 has 2597 (100.0%) missing valuesMissing
최초등록시점 has 2597 (100.0%) missing valuesMissing
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
통로너비 is an unsupported type, check if it needs cleaning or further analysisUnsupported
노래방실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실수 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

Reproduction

Analysis started2023-12-10 19:29:07.082975
Analysis finished2023-12-10 19:29:08.979633
Duration1.9 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct2597
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1299
Minimum1
Maximum2597
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2023-12-11T04:29:09.099794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile130.8
Q1650
median1299
Q31948
95-th percentile2467.2
Maximum2597
Range2596
Interquartile range (IQR)1298

Descriptive statistics

Standard deviation749.83365
Coefficient of variation (CV)0.57723914
Kurtosis-1.2
Mean1299
Median Absolute Deviation (MAD)649
Skewness0
Sum3373503
Variance562250.5
MonotonicityStrictly increasing
2023-12-11T04:29:09.325394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1746 1
 
< 0.1%
1728 1
 
< 0.1%
1729 1
 
< 0.1%
1730 1
 
< 0.1%
1731 1
 
< 0.1%
1732 1
 
< 0.1%
1733 1
 
< 0.1%
1734 1
 
< 0.1%
1735 1
 
< 0.1%
Other values (2587) 2587
99.6%
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 (%)
2597 1
< 0.1%
2596 1
< 0.1%
2595 1
< 0.1%
2594 1
< 0.1%
2593 1
< 0.1%
2592 1
< 0.1%
2591 1
< 0.1%
2590 1
< 0.1%
2589 1
< 0.1%
2588 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size20.4 KiB
인터넷컴퓨터게임시설제공업
2597 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 2597
100.0%

Length

2023-12-11T04:29:09.770846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:29:09.895031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 2597
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size20.4 KiB
03_05_05_P
2597 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03_05_05_P
2nd row03_05_05_P
3rd row03_05_05_P
4th row03_05_05_P
5th row03_05_05_P

Common Values

ValueCountFrequency (%)
03_05_05_P 2597
100.0%

Length

2023-12-11T04:29:10.001749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:29:10.121565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_05_05_p 2597
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3448367.3
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2023-12-11T04:29:10.237186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3420000
Q13430000
median3450000
Q33470000
95-th percentile3480000
Maximum3480000
Range70000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation20217.21
Coefficient of variation (CV)0.0058628353
Kurtosis-1.2049997
Mean3448367.3
Median Absolute Deviation (MAD)20000
Skewness-0.19498412
Sum8.95541 × 109
Variance4.0873557 × 108
MonotonicityIncreasing
2023-12-11T04:29:10.411826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 604
23.3%
3450000 434
16.7%
3420000 401
15.4%
3460000 321
12.4%
3430000 316
12.2%
3440000 275
10.6%
3480000 163
 
6.3%
3410000 83
 
3.2%
ValueCountFrequency (%)
3410000 83
 
3.2%
3420000 401
15.4%
3430000 316
12.2%
3440000 275
10.6%
3450000 434
16.7%
3460000 321
12.4%
3470000 604
23.3%
3480000 163
 
6.3%
ValueCountFrequency (%)
3480000 163
 
6.3%
3470000 604
23.3%
3460000 321
12.4%
3450000 434
16.7%
3440000 275
10.6%
3430000 316
12.2%
3420000 401
15.4%
3410000 83
 
3.2%
Distinct623
Distinct (%)24.0%
Missing0
Missing (%)0.0%
Memory size20.4 KiB
2023-12-11T04:29:10.661261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters51940
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

Unique149 ?
Unique (%)5.7%

Sample

1st rowCDFF2241022018000003
2nd rowCDFF2241022021000001
3rd rowCDFF2241022021000002
4th rowCDFF2241022008000007
5th rowCDFF2241022008000008
ValueCountFrequency (%)
cdff2241022018000003 8
 
0.3%
cdff2241022018000002 8
 
0.3%
cdff2241022007000002 8
 
0.3%
cdff2241022008000003 8
 
0.3%
cdff2241022018000005 8
 
0.3%
cdff2241022018000004 8
 
0.3%
cdff2241022019000004 8
 
0.3%
cdff2241022019000003 8
 
0.3%
cdff2241022014000007 8
 
0.3%
cdff2241022009000007 8
 
0.3%
Other values (613) 2517
96.9%
2023-12-11T04:29:11.081771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 18002
34.7%
2 11253
21.7%
1 5240
 
10.1%
F 5194
 
10.0%
4 3196
 
6.2%
C 2597
 
5.0%
D 2597
 
5.0%
8 1088
 
2.1%
9 698
 
1.3%
7 581
 
1.1%
Other values (3) 1494
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 41552
80.0%
Uppercase Letter 10388
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 18002
43.3%
2 11253
27.1%
1 5240
 
12.6%
4 3196
 
7.7%
8 1088
 
2.6%
9 698
 
1.7%
7 581
 
1.4%
3 565
 
1.4%
5 500
 
1.2%
6 429
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
F 5194
50.0%
C 2597
25.0%
D 2597
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 41552
80.0%
Latin 10388
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 18002
43.3%
2 11253
27.1%
1 5240
 
12.6%
4 3196
 
7.7%
8 1088
 
2.6%
9 698
 
1.7%
7 581
 
1.4%
3 565
 
1.4%
5 500
 
1.2%
6 429
 
1.0%
Latin
ValueCountFrequency (%)
F 5194
50.0%
C 2597
25.0%
D 2597
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 51940
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 18002
34.7%
2 11253
21.7%
1 5240
 
10.1%
F 5194
 
10.0%
4 3196
 
6.2%
C 2597
 
5.0%
D 2597
 
5.0%
8 1088
 
2.1%
9 698
 
1.3%
7 581
 
1.1%
Other values (3) 1494
 
2.9%

인허가일자
Real number (ℝ)

Distinct1523
Distinct (%)58.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20124440
Minimum20070718
Maximum20210528
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2023-12-11T04:29:11.309089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070718
5-th percentile20080215
Q120080827
median20111103
Q320161123
95-th percentile20200121
Maximum20210528
Range139810
Interquartile range (IQR)80296

Descriptive statistics

Standard deviation42748.172
Coefficient of variation (CV)0.0021241919
Kurtosis-1.3008252
Mean20124440
Median Absolute Deviation (MAD)30583
Skewness0.39474637
Sum5.226317 × 1010
Variance1.8274062 × 109
MonotonicityNot monotonic
2023-12-11T04:29:11.529881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20080519 49
 
1.9%
20080520 41
 
1.6%
20080516 30
 
1.2%
20080515 28
 
1.1%
20080521 23
 
0.9%
20080514 19
 
0.7%
20080731 12
 
0.5%
20080801 11
 
0.4%
20080501 11
 
0.4%
20071119 10
 
0.4%
Other values (1513) 2363
91.0%
ValueCountFrequency (%)
20070718 1
 
< 0.1%
20070720 1
 
< 0.1%
20070727 1
 
< 0.1%
20070731 3
0.1%
20070814 1
 
< 0.1%
20070820 2
0.1%
20070821 1
 
< 0.1%
20070823 1
 
< 0.1%
20070828 1
 
< 0.1%
20070830 2
0.1%
ValueCountFrequency (%)
20210528 1
< 0.1%
20210527 1
< 0.1%
20210524 1
< 0.1%
20210521 2
0.1%
20210513 1
< 0.1%
20210507 1
< 0.1%
20210506 1
< 0.1%
20210429 1
< 0.1%
20210427 1
< 0.1%
20210422 1
< 0.1%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct152
Distinct (%)88.4%
Missing2425
Missing (%)93.4%
Infinite0
Infinite (%)0.0%
Mean20132899
Minimum20080905
Maximum20210326
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2023-12-11T04:29:11.766326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080905
5-th percentile20090328
Q120090911
median20150567
Q320151113
95-th percentile20200568
Maximum20210326
Range129421
Interquartile range (IQR)60202.5

Descriptive statistics

Standard deviation37669.047
Coefficient of variation (CV)0.0018710195
Kurtosis-1.2081896
Mean20132899
Median Absolute Deviation (MAD)39937.5
Skewness0.20192728
Sum3.4628586 × 109
Variance1.4189571 × 109
MonotonicityNot monotonic
2023-12-11T04:29:12.024426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20151112 5
 
0.2%
20090525 3
 
0.1%
20090713 3
 
0.1%
20150806 2
 
0.1%
20191118 2
 
0.1%
20090616 2
 
0.1%
20150702 2
 
0.1%
20090721 2
 
0.1%
20090907 2
 
0.1%
20151110 2
 
0.1%
Other values (142) 147
 
5.7%
(Missing) 2425
93.4%
ValueCountFrequency (%)
20080905 1
< 0.1%
20080910 1
< 0.1%
20081010 1
< 0.1%
20081222 1
< 0.1%
20090113 1
< 0.1%
20090128 2
0.1%
20090129 1
< 0.1%
20090223 1
< 0.1%
20090414 1
< 0.1%
20090424 1
< 0.1%
ValueCountFrequency (%)
20210326 1
< 0.1%
20210204 1
< 0.1%
20201211 1
< 0.1%
20201021 1
< 0.1%
20201008 1
< 0.1%
20201007 1
< 0.1%
20200818 1
< 0.1%
20200717 1
< 0.1%
20200617 1
< 0.1%
20200528 1
< 0.1%
Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.4 KiB
3
1320 
1
839 
4
438 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row4
5th row4

Common Values

ValueCountFrequency (%)
3 1320
50.8%
1 839
32.3%
4 438
 
16.9%

Length

2023-12-11T04:29:12.223172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:29:12.354849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1320
50.8%
1 839
32.3%
4 438
 
16.9%

영업상태명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.4 KiB
폐업
1320 
영업/정상
839 
취소/말소/만료/정지/중지
438 

Length

Max length14
Median length2
Mean length4.9930689
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1320
50.8%
영업/정상 839
32.3%
취소/말소/만료/정지/중지 438
 
16.9%

Length

2023-12-11T04:29:12.515917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:29:12.637223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1320
50.8%
영업/정상 839
32.3%
취소/말소/만료/정지/중지 438
 
16.9%
Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size20.4 KiB
3
1319 
13
839 
35
266 
31
172 
34
 
1

Length

Max length2
Median length1
Mean length1.4921063
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row13
2nd row13
3rd row13
4th row35
5th row35

Common Values

ValueCountFrequency (%)
3 1319
50.8%
13 839
32.3%
35 266
 
10.2%
31 172
 
6.6%
34 1
 
< 0.1%

Length

2023-12-11T04:29:12.767406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:29:12.904229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1319
50.8%
13 839
32.3%
35 266
 
10.2%
31 172
 
6.6%
34 1
 
< 0.1%
Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size20.4 KiB
폐업
1319 
영업중
839 
직권말소
266 
등록취소
172 
영업장폐쇄
 
1

Length

Max length5
Median length2
Mean length2.6615325
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1319
50.8%
영업중 839
32.3%
직권말소 266
 
10.2%
등록취소 172
 
6.6%
영업장폐쇄 1
 
< 0.1%

Length

2023-12-11T04:29:13.042198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:29:13.158651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1319
50.8%
영업중 839
32.3%
직권말소 266
 
10.2%
등록취소 172
 
6.6%
영업장폐쇄 1
 
< 0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct1155
Distinct (%)72.9%
Missing1013
Missing (%)39.0%
Infinite0
Infinite (%)0.0%
Mean20147215
Minimum20080312
Maximum20210531
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2023-12-11T04:29:13.294895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080312
5-th percentile20090702
Q120111006
median20150205
Q320181107
95-th percentile20200920
Maximum20210531
Range130219
Interquartile range (IQR)70101

Descriptive statistics

Standard deviation37760.792
Coefficient of variation (CV)0.0018742437
Kurtosis-1.3319189
Mean20147215
Median Absolute Deviation (MAD)39186
Skewness0.029488787
Sum3.1913189 × 1010
Variance1.4258774 × 109
MonotonicityNot monotonic
2023-12-11T04:29:13.467614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20111201 18
 
0.7%
20200721 11
 
0.4%
20190318 9
 
0.3%
20190320 8
 
0.3%
20201104 8
 
0.3%
20140808 7
 
0.3%
20191014 7
 
0.3%
20140819 6
 
0.2%
20190514 5
 
0.2%
20200203 5
 
0.2%
Other values (1145) 1500
57.8%
(Missing) 1013
39.0%
ValueCountFrequency (%)
20080312 1
< 0.1%
20080424 1
< 0.1%
20080521 1
< 0.1%
20080625 2
0.1%
20080911 1
< 0.1%
20080924 1
< 0.1%
20081020 1
< 0.1%
20081028 2
0.1%
20081103 1
< 0.1%
20081202 1
< 0.1%
ValueCountFrequency (%)
20210531 1
< 0.1%
20210528 1
< 0.1%
20210524 1
< 0.1%
20210517 1
< 0.1%
20210510 1
< 0.1%
20210507 1
< 0.1%
20210503 2
0.1%
20210430 1
< 0.1%
20210421 2
0.1%
20210420 1
< 0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2597
Missing (%)100.0%
Memory size23.0 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2597
Missing (%)100.0%
Memory size23.0 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2597
Missing (%)100.0%
Memory size23.0 KiB

소재지전화
Text

MISSING 

Distinct359
Distinct (%)99.2%
Missing2235
Missing (%)86.1%
Memory size20.4 KiB
2023-12-11T04:29:13.758079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.046961
Min length7

Characters and Unicode

Total characters3637
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique356 ?
Unique (%)98.3%

Sample

1st row053-422-5196
2nd row252-1913
3rd row053-256-0156
4th row253-6122
5th row522-5095
ValueCountFrequency (%)
053 3
 
0.8%
639-6611 2
 
0.5%
0505-481-1004 2
 
0.5%
954-3987 2
 
0.5%
053-252-0127 1
 
0.3%
053-795-9193 1
 
0.3%
053-795-2623 1
 
0.3%
053-754-6162 1
 
0.3%
053-791-3240 1
 
0.3%
070-8231-0666 1
 
0.3%
Other values (354) 354
95.9%
2023-12-11T04:29:14.239083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 517
14.2%
- 504
13.9%
0 431
11.9%
3 369
10.1%
2 315
8.7%
7 304
8.4%
6 286
7.9%
4 245
6.7%
9 223
6.1%
1 219
6.0%
Other values (4) 224
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3122
85.8%
Dash Punctuation 504
 
13.9%
Space Separator 7
 
0.2%
Close Punctuation 2
 
0.1%
Other Punctuation 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 517
16.6%
0 431
13.8%
3 369
11.8%
2 315
10.1%
7 304
9.7%
6 286
9.2%
4 245
7.8%
9 223
7.1%
1 219
7.0%
8 213
6.8%
Dash Punctuation
ValueCountFrequency (%)
- 504
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3637
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 517
14.2%
- 504
13.9%
0 431
11.9%
3 369
10.1%
2 315
8.7%
7 304
8.4%
6 286
7.9%
4 245
6.7%
9 223
6.1%
1 219
6.0%
Other values (4) 224
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3637
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 517
14.2%
- 504
13.9%
0 431
11.9%
3 369
10.1%
2 315
8.7%
7 304
8.4%
6 286
7.9%
4 245
6.7%
9 223
6.1%
1 219
6.0%
Other values (4) 224
6.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2597
Missing (%)100.0%
Memory size23.0 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct100
Distinct (%)76.3%
Missing2466
Missing (%)95.0%
Infinite0
Infinite (%)0.0%
Mean703971.05
Minimum700060
Maximum711834
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2023-12-11T04:29:14.415941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700060
5-th percentile701230
Q1701838
median703815
Q3705807
95-th percentile706848
Maximum711834
Range11774
Interquartile range (IQR)3969

Descriptive statistics

Standard deviation2356.9455
Coefficient of variation (CV)0.0033480716
Kurtosis1.7463956
Mean703971.05
Median Absolute Deviation (MAD)1978
Skewness1.1082624
Sum92220208
Variance5555192.1
MonotonicityNot monotonic
2023-12-11T04:29:14.587589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
701230 6
 
0.2%
703819 4
 
0.2%
711834 3
 
0.1%
703839 3
 
0.1%
701804 3
 
0.1%
701837 3
 
0.1%
701844 2
 
0.1%
706170 2
 
0.1%
706828 2
 
0.1%
705819 2
 
0.1%
Other values (90) 101
 
3.9%
(Missing) 2466
95.0%
ValueCountFrequency (%)
700060 1
 
< 0.1%
700160 1
 
< 0.1%
701050 1
 
< 0.1%
701110 2
 
0.1%
701230 6
0.2%
701300 1
 
< 0.1%
701802 1
 
< 0.1%
701804 3
0.1%
701806 1
 
< 0.1%
701808 2
 
0.1%
ValueCountFrequency (%)
711834 3
0.1%
711832 1
 
< 0.1%
706853 1
 
< 0.1%
706852 1
 
< 0.1%
706849 1
 
< 0.1%
706847 1
 
< 0.1%
706846 1
 
< 0.1%
706844 2
0.1%
706839 1
 
< 0.1%
706838 1
 
< 0.1%
Distinct2430
Distinct (%)93.7%
Missing4
Missing (%)0.2%
Memory size20.4 KiB
2023-12-11T04:29:14.920977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length42
Mean length24.577709
Min length16

Characters and Unicode

Total characters63730
Distinct characters269
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

Unique2285 ?
Unique (%)88.1%

Sample

1st row대구광역시 중구 삼덕동1가 5-2번지 지상3층
2nd row대구광역시 중구 남산동 613-32
3rd row대구광역시 중구 남산동 2271-11 2층
4th row대구광역시 중구 동성로2가 45번지 지상5층
5th row대구광역시 중구 동인동3가 271-30번지 지상1층
ValueCountFrequency (%)
대구광역시 2593
21.8%
달서구 602
 
5.1%
북구 434
 
3.6%
동구 401
 
3.4%
수성구 321
 
2.7%
서구 316
 
2.7%
1층 287
 
2.4%
남구 275
 
2.3%
2층 174
 
1.5%
달성군 161
 
1.4%
Other values (2733) 6356
53.3%
2023-12-11T04:29:15.487138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11885
18.6%
5056
 
7.9%
1 3295
 
5.2%
2939
 
4.6%
2893
 
4.5%
2613
 
4.1%
2598
 
4.1%
2596
 
4.1%
2553
 
4.0%
- 2376
 
3.7%
Other values (259) 24926
39.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 34618
54.3%
Decimal Number 13624
 
21.4%
Space Separator 11885
 
18.6%
Dash Punctuation 2376
 
3.7%
Open Punctuation 580
 
0.9%
Close Punctuation 580
 
0.9%
Other Punctuation 45
 
0.1%
Uppercase Letter 15
 
< 0.1%
Math Symbol 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5056
14.6%
2939
 
8.5%
2893
 
8.4%
2613
 
7.5%
2598
 
7.5%
2596
 
7.5%
2553
 
7.4%
2190
 
6.3%
970
 
2.8%
853
 
2.5%
Other values (231) 9357
27.0%
Decimal Number
ValueCountFrequency (%)
1 3295
24.2%
2 1961
14.4%
3 1548
11.4%
4 1157
 
8.5%
0 1071
 
7.9%
5 1055
 
7.7%
6 951
 
7.0%
8 868
 
6.4%
7 861
 
6.3%
9 857
 
6.3%
Uppercase Letter
ValueCountFrequency (%)
B 4
26.7%
A 3
20.0%
K 1
 
6.7%
S 1
 
6.7%
D 1
 
6.7%
P 1
 
6.7%
T 1
 
6.7%
J 1
 
6.7%
M 1
 
6.7%
F 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 38
84.4%
. 5
 
11.1%
/ 2
 
4.4%
Space Separator
ValueCountFrequency (%)
11885
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2376
100.0%
Open Punctuation
ValueCountFrequency (%)
( 580
100.0%
Close Punctuation
ValueCountFrequency (%)
) 580
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 34618
54.3%
Common 29097
45.7%
Latin 15
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5056
14.6%
2939
 
8.5%
2893
 
8.4%
2613
 
7.5%
2598
 
7.5%
2596
 
7.5%
2553
 
7.4%
2190
 
6.3%
970
 
2.8%
853
 
2.5%
Other values (231) 9357
27.0%
Common
ValueCountFrequency (%)
11885
40.8%
1 3295
 
11.3%
- 2376
 
8.2%
2 1961
 
6.7%
3 1548
 
5.3%
4 1157
 
4.0%
0 1071
 
3.7%
5 1055
 
3.6%
6 951
 
3.3%
8 868
 
3.0%
Other values (8) 2930
 
10.1%
Latin
ValueCountFrequency (%)
B 4
26.7%
A 3
20.0%
K 1
 
6.7%
S 1
 
6.7%
D 1
 
6.7%
P 1
 
6.7%
T 1
 
6.7%
J 1
 
6.7%
M 1
 
6.7%
F 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 34618
54.3%
ASCII 29112
45.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11885
40.8%
1 3295
 
11.3%
- 2376
 
8.2%
2 1961
 
6.7%
3 1548
 
5.3%
4 1157
 
4.0%
0 1071
 
3.7%
5 1055
 
3.6%
6 951
 
3.3%
8 868
 
3.0%
Other values (18) 2945
 
10.1%
Hangul
ValueCountFrequency (%)
5056
14.6%
2939
 
8.5%
2893
 
8.4%
2613
 
7.5%
2598
 
7.5%
2596
 
7.5%
2553
 
7.4%
2190
 
6.3%
970
 
2.8%
853
 
2.5%
Other values (231) 9357
27.0%
Distinct2457
Distinct (%)95.2%
Missing16
Missing (%)0.6%
Memory size20.4 KiB
2023-12-11T04:29:15.877349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length51
Mean length27.903138
Min length19

Characters and Unicode

Total characters72018
Distinct characters302
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

Unique2344 ?
Unique (%)90.8%

Sample

1st row대구광역시 중구 동성로5길 25, 지상3층 (삼덕동1가)
2nd row대구광역시 중구 명덕로35길 120, 1층 (남산동)
3rd row대구광역시 중구 명덕로 57-1, 2층 (남산동)
4th row대구광역시 중구 동성로 36 (동성로2가,지상5층)
5th row대구광역시 중구 국채보상로143길 69 (동인동3가,지상1층)
ValueCountFrequency (%)
대구광역시 2581
 
17.6%
달서구 601
 
4.1%
1층 524
 
3.6%
북구 432
 
3.0%
동구 398
 
2.7%
수성구 320
 
2.2%
서구 316
 
2.2%
남구 274
 
1.9%
2층 273
 
1.9%
달성군 162
 
1.1%
Other values (2026) 8756
59.8%
2023-12-11T04:29:16.412217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12726
17.7%
5275
 
7.3%
3362
 
4.7%
3296
 
4.6%
1 2811
 
3.9%
( 2772
 
3.8%
) 2772
 
3.8%
2612
 
3.6%
2610
 
3.6%
2585
 
3.6%
Other values (292) 31197
43.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 40348
56.0%
Space Separator 12726
 
17.7%
Decimal Number 11098
 
15.4%
Open Punctuation 2772
 
3.8%
Close Punctuation 2772
 
3.8%
Other Punctuation 1814
 
2.5%
Dash Punctuation 448
 
0.6%
Uppercase Letter 28
 
< 0.1%
Math Symbol 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5275
 
13.1%
3362
 
8.3%
3296
 
8.2%
2612
 
6.5%
2610
 
6.5%
2585
 
6.4%
2553
 
6.3%
1492
 
3.7%
1197
 
3.0%
1049
 
2.6%
Other values (264) 14317
35.5%
Decimal Number
ValueCountFrequency (%)
1 2811
25.3%
2 1930
17.4%
3 1385
12.5%
4 935
 
8.4%
0 809
 
7.3%
5 801
 
7.2%
6 714
 
6.4%
8 576
 
5.2%
9 570
 
5.1%
7 567
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
B 9
32.1%
A 9
32.1%
D 2
 
7.1%
M 2
 
7.1%
C 1
 
3.6%
H 1
 
3.6%
P 1
 
3.6%
T 1
 
3.6%
J 1
 
3.6%
S 1
 
3.6%
Other Punctuation
ValueCountFrequency (%)
, 1811
99.8%
. 2
 
0.1%
& 1
 
0.1%
Space Separator
ValueCountFrequency (%)
12726
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2772
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2772
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 448
100.0%
Math Symbol
ValueCountFrequency (%)
~ 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 40348
56.0%
Common 31642
43.9%
Latin 28
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5275
 
13.1%
3362
 
8.3%
3296
 
8.2%
2612
 
6.5%
2610
 
6.5%
2585
 
6.4%
2553
 
6.3%
1492
 
3.7%
1197
 
3.0%
1049
 
2.6%
Other values (264) 14317
35.5%
Common
ValueCountFrequency (%)
12726
40.2%
1 2811
 
8.9%
( 2772
 
8.8%
) 2772
 
8.8%
2 1930
 
6.1%
, 1811
 
5.7%
3 1385
 
4.4%
4 935
 
3.0%
0 809
 
2.6%
5 801
 
2.5%
Other values (8) 2890
 
9.1%
Latin
ValueCountFrequency (%)
B 9
32.1%
A 9
32.1%
D 2
 
7.1%
M 2
 
7.1%
C 1
 
3.6%
H 1
 
3.6%
P 1
 
3.6%
T 1
 
3.6%
J 1
 
3.6%
S 1
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 40348
56.0%
ASCII 31670
44.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12726
40.2%
1 2811
 
8.9%
( 2772
 
8.8%
) 2772
 
8.8%
2 1930
 
6.1%
, 1811
 
5.7%
3 1385
 
4.4%
4 935
 
3.0%
0 809
 
2.6%
5 801
 
2.5%
Other values (18) 2918
 
9.2%
Hangul
ValueCountFrequency (%)
5275
 
13.1%
3362
 
8.3%
3296
 
8.2%
2612
 
6.5%
2610
 
6.5%
2585
 
6.4%
2553
 
6.3%
1492
 
3.7%
1197
 
3.0%
1049
 
2.6%
Other values (264) 14317
35.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct684
Distinct (%)38.3%
Missing811
Missing (%)31.2%
Infinite0
Infinite (%)0.0%
Mean110303.78
Minimum41005
Maximum711891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2023-12-11T04:29:16.565013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41005
5-th percentile41136.75
Q141560.5
median42235
Q342733
95-th percentile703847
Maximum711891
Range670886
Interquartile range (IQR)1172.5

Descriptive statistics

Standard deviation201396.81
Coefficient of variation (CV)1.8258378
Kurtosis4.8388082
Mean110303.78
Median Absolute Deviation (MAD)551
Skewness2.6140219
Sum1.9700255 × 108
Variance4.0560673 × 1010
MonotonicityNot monotonic
2023-12-11T04:29:16.713268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42691 28
 
1.1%
41423 18
 
0.7%
41544 16
 
0.6%
42446 16
 
0.6%
42430 15
 
0.6%
42612 15
 
0.6%
42274 13
 
0.5%
42739 12
 
0.5%
42197 12
 
0.5%
42173 11
 
0.4%
Other values (674) 1630
62.8%
(Missing) 811
31.2%
ValueCountFrequency (%)
41005 3
0.1%
41026 4
0.2%
41029 1
 
< 0.1%
41034 2
 
0.1%
41035 3
0.1%
41045 1
 
< 0.1%
41047 2
 
0.1%
41048 1
 
< 0.1%
41049 5
0.2%
41065 6
0.2%
ValueCountFrequency (%)
711891 1
 
< 0.1%
711857 1
 
< 0.1%
711854 3
0.1%
711838 1
 
< 0.1%
711834 1
 
< 0.1%
711815 2
0.1%
711813 1
 
< 0.1%
711812 4
0.2%
706853 2
0.1%
706852 2
0.1%
Distinct1953
Distinct (%)75.2%
Missing0
Missing (%)0.0%
Memory size20.4 KiB
2023-12-11T04:29:17.057621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length20
Mean length5.9969195
Min length1

Characters and Unicode

Total characters15574
Distinct characters588
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

Unique1648 ?
Unique (%)63.5%

Sample

1st row히트게임존
2nd row스마일PC
3rd row신화PC랜드
4th row조이넷 PC방
5th row이노동인(점)
ValueCountFrequency (%)
pc방 239
 
7.5%
pc 140
 
4.4%
대박pc 37
 
1.2%
대박pc방 20
 
0.6%
이노스페이스 19
 
0.6%
에이스pc방 17
 
0.5%
강남pc 15
 
0.5%
행운pc 14
 
0.4%
놀이터pc 14
 
0.4%
게임나라 13
 
0.4%
Other values (1864) 2641
83.3%
2023-12-11T04:29:17.599328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
P 2027
 
13.0%
C 2011
 
12.9%
1329
 
8.5%
575
 
3.7%
530
 
3.4%
432
 
2.8%
269
 
1.7%
221
 
1.4%
207
 
1.3%
c 187
 
1.2%
Other values (578) 7786
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9564
61.4%
Uppercase Letter 4463
28.7%
Lowercase Letter 583
 
3.7%
Space Separator 575
 
3.7%
Open Punctuation 153
 
1.0%
Close Punctuation 153
 
1.0%
Decimal Number 55
 
0.4%
Dash Punctuation 17
 
0.1%
Other Punctuation 11
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1329
 
13.9%
530
 
5.5%
432
 
4.5%
269
 
2.8%
221
 
2.3%
207
 
2.2%
163
 
1.7%
143
 
1.5%
133
 
1.4%
121
 
1.3%
Other values (513) 6016
62.9%
Uppercase Letter
ValueCountFrequency (%)
P 2027
45.4%
C 2011
45.1%
O 51
 
1.1%
N 37
 
0.8%
B 34
 
0.8%
U 30
 
0.7%
A 30
 
0.7%
K 27
 
0.6%
G 24
 
0.5%
L 22
 
0.5%
Other values (15) 170
 
3.8%
Lowercase Letter
ValueCountFrequency (%)
c 187
32.1%
p 185
31.7%
e 40
 
6.9%
n 34
 
5.8%
u 22
 
3.8%
o 17
 
2.9%
a 16
 
2.7%
s 11
 
1.9%
i 10
 
1.7%
t 8
 
1.4%
Other values (13) 53
 
9.1%
Decimal Number
ValueCountFrequency (%)
2 23
41.8%
1 15
27.3%
3 9
 
16.4%
0 2
 
3.6%
5 2
 
3.6%
4 2
 
3.6%
6 1
 
1.8%
7 1
 
1.8%
Other Punctuation
ValueCountFrequency (%)
. 5
45.5%
& 3
27.3%
' 1
 
9.1%
! 1
 
9.1%
: 1
 
9.1%
Space Separator
ValueCountFrequency (%)
575
100.0%
Open Punctuation
ValueCountFrequency (%)
( 153
100.0%
Close Punctuation
ValueCountFrequency (%)
) 153
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9564
61.4%
Latin 5046
32.4%
Common 964
 
6.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1329
 
13.9%
530
 
5.5%
432
 
4.5%
269
 
2.8%
221
 
2.3%
207
 
2.2%
163
 
1.7%
143
 
1.5%
133
 
1.4%
121
 
1.3%
Other values (513) 6016
62.9%
Latin
ValueCountFrequency (%)
P 2027
40.2%
C 2011
39.9%
c 187
 
3.7%
p 185
 
3.7%
O 51
 
1.0%
e 40
 
0.8%
N 37
 
0.7%
n 34
 
0.7%
B 34
 
0.7%
U 30
 
0.6%
Other values (38) 410
 
8.1%
Common
ValueCountFrequency (%)
575
59.6%
( 153
 
15.9%
) 153
 
15.9%
2 23
 
2.4%
- 17
 
1.8%
1 15
 
1.6%
3 9
 
0.9%
. 5
 
0.5%
& 3
 
0.3%
0 2
 
0.2%
Other values (7) 9
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9564
61.4%
ASCII 6010
38.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
P 2027
33.7%
C 2011
33.5%
575
 
9.6%
c 187
 
3.1%
p 185
 
3.1%
( 153
 
2.5%
) 153
 
2.5%
O 51
 
0.8%
e 40
 
0.7%
N 37
 
0.6%
Other values (55) 591
 
9.8%
Hangul
ValueCountFrequency (%)
1329
 
13.9%
530
 
5.5%
432
 
4.5%
269
 
2.8%
221
 
2.3%
207
 
2.2%
163
 
1.7%
143
 
1.5%
133
 
1.4%
121
 
1.3%
Other values (513) 6016
62.9%

최종수정시점
Real number (ℝ)

Distinct2596
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0160566 × 1013
Minimum2.0080411 × 1013
Maximum2.0210531 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2023-12-11T04:29:17.797926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0080411 × 1013
5-th percentile2.0090814 × 1013
Q12.0130129 × 1013
median2.0170627 × 1013
Q32.0200108 × 1013
95-th percentile2.0210123 × 1013
Maximum2.0210531 × 1013
Range1.3012003 × 1011
Interquartile range (IQR)6.9979031 × 1010

Descriptive statistics

Standard deviation3.9034538 × 1010
Coefficient of variation (CV)0.0019361827
Kurtosis-1.1344207
Mean2.0160566 × 1013
Median Absolute Deviation (MAD)2.9799018 × 1010
Skewness-0.48399626
Sum5.235699 × 1016
Variance1.5236952 × 1021
MonotonicityNot monotonic
2023-12-11T04:29:18.001617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210112210335 2
 
0.1%
20180802173057 1
 
< 0.1%
20110415142419 1
 
< 0.1%
20100722121456 1
 
< 0.1%
20091126114947 1
 
< 0.1%
20141201131653 1
 
< 0.1%
20190514114152 1
 
< 0.1%
20170329152939 1
 
< 0.1%
20201021131111 1
 
< 0.1%
20150310105506 1
 
< 0.1%
Other values (2586) 2586
99.6%
ValueCountFrequency (%)
20080411111358 1
< 0.1%
20080424151752 1
< 0.1%
20080509092436 1
< 0.1%
20080509100707 1
< 0.1%
20080516153545 1
< 0.1%
20080519180803 1
< 0.1%
20080521112027 1
< 0.1%
20080625110804 1
< 0.1%
20080625110923 1
< 0.1%
20080704101410 1
< 0.1%
ValueCountFrequency (%)
20210531144531 1
< 0.1%
20210531135012 1
< 0.1%
20210530165147 1
< 0.1%
20210528165620 1
< 0.1%
20210528140309 1
< 0.1%
20210527145815 1
< 0.1%
20210527091952 1
< 0.1%
20210526153711 1
< 0.1%
20210526144712 1
< 0.1%
20210526144623 1
< 0.1%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.4 KiB
I
1614 
U
983 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 1614
62.1%
U 983
37.9%

Length

2023-12-11T04:29:18.153908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:29:18.242683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1614
62.1%
u 983
37.9%
Distinct547
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Memory size20.4 KiB
Minimum2018-08-31 23:59:59
Maximum2021-06-02 02:40:00
2023-12-11T04:29:18.378070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:29:18.862031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2597
Missing (%)100.0%
Memory size23.0 KiB

좌표정보(X)
Real number (ℝ)

Distinct2102
Distinct (%)81.4%
Missing14
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean342585.95
Minimum327875.26
Maximum357908.12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2023-12-11T04:29:19.020671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327875.26
5-th percentile334178.83
Q1339559.29
median341910.21
Q3346096.27
95-th percentile353275.81
Maximum357908.12
Range30032.865
Interquartile range (IQR)6536.9734

Descriptive statistics

Standard deviation5167.7211
Coefficient of variation (CV)0.015084451
Kurtosis0.36645239
Mean342585.95
Median Absolute Deviation (MAD)3148.082
Skewness0.15626871
Sum8.8489951 × 108
Variance26705341
MonotonicityNot monotonic
2023-12-11T04:29:19.164807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
335842.668745 8
 
0.3%
339590.943361 5
 
0.2%
335829.274637 5
 
0.2%
346296.835299 4
 
0.2%
338146.076951 4
 
0.2%
340820.416585 4
 
0.2%
341613.71925 4
 
0.2%
338739.676068 4
 
0.2%
340752.593658 4
 
0.2%
341430.955114 4
 
0.2%
Other values (2092) 2537
97.7%
(Missing) 14
 
0.5%
ValueCountFrequency (%)
327875.25818 1
< 0.1%
327995.405789 2
0.1%
328039.908607 2
0.1%
328053.96604 1
< 0.1%
328063.279113 1
< 0.1%
328134.872922 1
< 0.1%
328161.51665 1
< 0.1%
328216.807023 2
0.1%
328389.300033 1
< 0.1%
329310.702211 1
< 0.1%
ValueCountFrequency (%)
357908.12325 1
< 0.1%
357867.135305 2
0.1%
356464.650221 1
< 0.1%
356418.02476 1
< 0.1%
356389.174371 1
< 0.1%
356129.092553 1
< 0.1%
356028.676926 1
< 0.1%
355851.248979 1
< 0.1%
355796.64243 1
< 0.1%
355749.747028 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

Distinct2102
Distinct (%)81.4%
Missing14
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean263336.55
Minimum238810.54
Maximum273780.08
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2023-12-11T04:29:19.308261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum238810.54
5-th percentile257517.39
Q1261279.09
median263291.27
Q3265851.97
95-th percentile270505.61
Maximum273780.08
Range34969.546
Interquartile range (IQR)4572.8758

Descriptive statistics

Standard deviation4509.6672
Coefficient of variation (CV)0.017125109
Kurtosis5.7327595
Mean263336.55
Median Absolute Deviation (MAD)2243.5355
Skewness-1.3444036
Sum6.8019831 × 108
Variance20337098
MonotonicityNot monotonic
2023-12-11T04:29:19.463070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
262538.563404 8
 
0.3%
270505.609404 5
 
0.2%
262497.696703 5
 
0.2%
265076.630291 4
 
0.2%
261025.109924 4
 
0.2%
266463.100546 4
 
0.2%
262799.094713 4
 
0.2%
258223.255111 4
 
0.2%
266116.566019 4
 
0.2%
265534.810424 4
 
0.2%
Other values (2092) 2537
97.7%
(Missing) 14
 
0.5%
ValueCountFrequency (%)
238810.537774 1
< 0.1%
240166.32767 1
< 0.1%
240365.489489 1
< 0.1%
240434.828496 2
0.1%
240461.304709 2
0.1%
240481.502376 1
< 0.1%
240486.59443 2
0.1%
240618.82566 1
< 0.1%
241421.918862 1
< 0.1%
242380.924577 1
< 0.1%
ValueCountFrequency (%)
273780.083988 1
< 0.1%
273565.445411 1
< 0.1%
273551.936976 1
< 0.1%
273543.383722 1
< 0.1%
273541.143414 1
< 0.1%
273524.079239 1
< 0.1%
273521.170988 1
< 0.1%
273506.093893 2
0.1%
273500.260287 1
< 0.1%
273485.522876 2
0.1%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size20.4 KiB
인터넷컴퓨터게임시설제공업
2597 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 2597
100.0%

Length

2023-12-11T04:29:19.602591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:29:19.701180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 2597
100.0%

문화사업자구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size20.4 KiB
유통관련업
2597 

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 2597
100.0%

Length

2023-12-11T04:29:19.799320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:29:19.911741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 2597
100.0%

총층수
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)0.7%
Missing133
Missing (%)5.1%
Infinite0
Infinite (%)0.0%
Mean4.0994318
Minimum1
Maximum45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2023-12-11T04:29:20.007667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile7
Maximum45
Range44
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.2167047
Coefficient of variation (CV)0.54073461
Kurtosis55.812463
Mean4.0994318
Median Absolute Deviation (MAD)1
Skewness4.1054089
Sum10101
Variance4.9137796
MonotonicityNot monotonic
2023-12-11T04:29:20.129026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
4 515
19.8%
3 482
18.6%
5 428
16.5%
2 392
15.1%
6 276
10.6%
1 152
 
5.9%
7 109
 
4.2%
8 52
 
2.0%
9 26
 
1.0%
11 8
 
0.3%
Other values (8) 24
 
0.9%
(Missing) 133
 
5.1%
ValueCountFrequency (%)
1 152
 
5.9%
2 392
15.1%
3 482
18.6%
4 515
19.8%
5 428
16.5%
6 276
10.6%
7 109
 
4.2%
8 52
 
2.0%
9 26
 
1.0%
10 6
 
0.2%
ValueCountFrequency (%)
45 1
 
< 0.1%
27 1
 
< 0.1%
22 2
 
0.1%
17 2
 
0.1%
14 3
 
0.1%
13 2
 
0.1%
12 7
 
0.3%
11 8
 
0.3%
10 6
 
0.2%
9 26
1.0%

주변환경명
Categorical

Distinct7
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size20.4 KiB
기타
1053 
<NA>
928 
주택가주변
351 
유흥업소밀집지역
119 
아파트지역
 
82
Other values (2)
 
64

Length

Max length8
Median length7
Mean length3.6372738
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
기타 1053
40.5%
<NA> 928
35.7%
주택가주변 351
 
13.5%
유흥업소밀집지역 119
 
4.6%
아파트지역 82
 
3.2%
학교정화(상대) 63
 
2.4%
결혼예식장주변 1
 
< 0.1%

Length

2023-12-11T04:29:20.286256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:29:20.418975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 1053
40.5%
na 928
35.7%
주택가주변 351
 
13.5%
유흥업소밀집지역 119
 
4.6%
아파트지역 82
 
3.2%
학교정화(상대 63
 
2.4%
결혼예식장주변 1
 
< 0.1%
Distinct52
Distinct (%)67.5%
Missing2520
Missing (%)97.0%
Memory size20.4 KiB
2023-12-11T04:29:20.673501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length20
Mean length8.9350649
Min length2

Characters and Unicode

Total characters688
Distinct characters119
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)50.6%

Sample

1st row대구탈출, 스페이스 워리어, 패닉, 스피드체이서
2nd rowPC
3rd row인터넷컴퓨터게임장업
4th row인터넷컴퓨터게임제공업
5th row인터넷컴퓨터게임장업
ValueCountFrequency (%)
pc 12
 
9.3%
인터넷컴퓨터게임 7
 
5.4%
게임 6
 
4.7%
인터넷컴퓨터게임제공업 4
 
3.1%
인터넷 4
 
3.1%
온라인 3
 
2.3%
tmg 3
 
2.3%
이글스 3
 
2.3%
포커 3
 
2.3%
킹게임 3
 
2.3%
Other values (66) 81
62.8%
2023-12-11T04:29:21.101262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
52
 
7.6%
50
 
7.3%
41
 
6.0%
39
 
5.7%
35
 
5.1%
26
 
3.8%
26
 
3.8%
25
 
3.6%
24
 
3.5%
, 22
 
3.2%
Other values (109) 348
50.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 538
78.2%
Space Separator 52
 
7.6%
Uppercase Letter 48
 
7.0%
Other Punctuation 22
 
3.2%
Decimal Number 16
 
2.3%
Lowercase Letter 6
 
0.9%
Open Punctuation 3
 
0.4%
Close Punctuation 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
50
 
9.3%
41
 
7.6%
39
 
7.2%
35
 
6.5%
26
 
4.8%
26
 
4.8%
25
 
4.6%
24
 
4.5%
15
 
2.8%
13
 
2.4%
Other values (84) 244
45.4%
Uppercase Letter
ValueCountFrequency (%)
P 14
29.2%
C 13
27.1%
T 5
 
10.4%
S 3
 
6.2%
G 3
 
6.2%
M 3
 
6.2%
O 2
 
4.2%
A 2
 
4.2%
E 1
 
2.1%
R 1
 
2.1%
Decimal Number
ValueCountFrequency (%)
5 3
18.8%
2 3
18.8%
6 2
12.5%
0 2
12.5%
4 2
12.5%
8 2
12.5%
3 1
 
6.2%
7 1
 
6.2%
Lowercase Letter
ValueCountFrequency (%)
c 3
50.0%
p 3
50.0%
Space Separator
ValueCountFrequency (%)
52
100.0%
Other Punctuation
ValueCountFrequency (%)
, 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 538
78.2%
Common 96
 
14.0%
Latin 54
 
7.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
50
 
9.3%
41
 
7.6%
39
 
7.2%
35
 
6.5%
26
 
4.8%
26
 
4.8%
25
 
4.6%
24
 
4.5%
15
 
2.8%
13
 
2.4%
Other values (84) 244
45.4%
Latin
ValueCountFrequency (%)
P 14
25.9%
C 13
24.1%
T 5
 
9.3%
S 3
 
5.6%
G 3
 
5.6%
c 3
 
5.6%
p 3
 
5.6%
M 3
 
5.6%
O 2
 
3.7%
A 2
 
3.7%
Other values (3) 3
 
5.6%
Common
ValueCountFrequency (%)
52
54.2%
, 22
22.9%
( 3
 
3.1%
) 3
 
3.1%
5 3
 
3.1%
2 3
 
3.1%
6 2
 
2.1%
0 2
 
2.1%
4 2
 
2.1%
8 2
 
2.1%
Other values (2) 2
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 538
78.2%
ASCII 150
 
21.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
52
34.7%
, 22
14.7%
P 14
 
9.3%
C 13
 
8.7%
T 5
 
3.3%
( 3
 
2.0%
) 3
 
2.0%
S 3
 
2.0%
G 3
 
2.0%
5 3
 
2.0%
Other values (15) 29
19.3%
Hangul
ValueCountFrequency (%)
50
 
9.3%
41
 
7.6%
39
 
7.2%
35
 
6.5%
26
 
4.8%
26
 
4.8%
25
 
4.6%
24
 
4.5%
15
 
2.8%
13
 
2.4%
Other values (84) 244
45.4%

시설면적
Real number (ℝ)

Distinct2115
Distinct (%)81.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean134.9263
Minimum6
Maximum816.39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2023-12-11T04:29:21.247323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile19.064
Q133
median113.46
Q3207.92
95-th percentile345.28
Maximum816.39
Range810.39
Interquartile range (IQR)174.92

Descriptive statistics

Standard deviation115.54117
Coefficient of variation (CV)0.85632799
Kurtosis1.6694739
Mean134.9263
Median Absolute Deviation (MAD)82.34
Skewness1.1432752
Sum350403.6
Variance13349.761
MonotonicityNot monotonic
2023-12-11T04:29:21.391551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.0 37
 
1.4%
30.0 10
 
0.4%
24.0 9
 
0.3%
20.0 9
 
0.3%
49.5 8
 
0.3%
28.8 8
 
0.3%
39.6 7
 
0.3%
40.0 7
 
0.3%
35.0 6
 
0.2%
22.0 6
 
0.2%
Other values (2105) 2490
95.9%
ValueCountFrequency (%)
6.0 1
< 0.1%
6.6 2
0.1%
6.8 1
< 0.1%
7.0 1
< 0.1%
8.05 1
< 0.1%
9.0 1
< 0.1%
9.79 1
< 0.1%
9.92 1
< 0.1%
11.2 1
< 0.1%
11.5 1
< 0.1%
ValueCountFrequency (%)
816.39 1
< 0.1%
804.97 1
< 0.1%
749.66 1
< 0.1%
629.29 1
< 0.1%
620.74 1
< 0.1%
606.2 1
< 0.1%
601.93 1
< 0.1%
600.86 1
< 0.1%
592.86 1
< 0.1%
580.95 1
< 0.1%

지상층수
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)0.7%
Missing184
Missing (%)7.1%
Infinite0
Infinite (%)0.0%
Mean2.2084542
Minimum0
Maximum45
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2023-12-11T04:29:21.515674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum45
Range45
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.3086961
Coefficient of variation (CV)1.0453901
Kurtosis142.77023
Mean2.2084542
Median Absolute Deviation (MAD)1
Skewness9.6281408
Sum5329
Variance5.3300778
MonotonicityNot monotonic
2023-12-11T04:29:21.623527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1 1131
43.6%
2 551
21.2%
3 350
 
13.5%
4 197
 
7.6%
5 109
 
4.2%
6 33
 
1.3%
7 18
 
0.7%
8 11
 
0.4%
34 4
 
0.2%
11 2
 
0.1%
Other values (6) 7
 
0.3%
(Missing) 184
 
7.1%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 1131
43.6%
2 551
21.2%
3 350
 
13.5%
4 197
 
7.6%
5 109
 
4.2%
6 33
 
1.3%
7 18
 
0.7%
8 11
 
0.4%
10 1
 
< 0.1%
ValueCountFrequency (%)
45 1
 
< 0.1%
41 1
 
< 0.1%
34 4
 
0.2%
23 1
 
< 0.1%
12 2
 
0.1%
11 2
 
0.1%
10 1
 
< 0.1%
8 11
 
0.4%
7 18
0.7%
6 33
1.3%

지하층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size20.4 KiB
<NA>
2191 
1
356 
0
 
37
2
 
9
4
 
3

Length

Max length4
Median length4
Mean length3.5309973
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2191
84.4%
1 356
 
13.7%
0 37
 
1.4%
2 9
 
0.3%
4 3
 
0.1%
5 1
 
< 0.1%

Length

2023-12-11T04:29:21.737021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:29:21.856513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2191
84.4%
1 356
 
13.7%
0 37
 
1.4%
2 9
 
0.3%
4 3
 
0.1%
5 1
 
< 0.1%

건물용도명
Categorical

IMBALANCE 

Distinct21
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size20.4 KiB
근린생활시설
1947 
<NA>
422 
기타
 
66
사무실
 
57
판매시설
 
32
Other values (16)
 
73

Length

Max length15
Median length6
Mean length5.4797844
Min length2

Unique

Unique4 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
근린생활시설 1947
75.0%
<NA> 422
 
16.2%
기타 66
 
2.5%
사무실 57
 
2.2%
판매시설 32
 
1.2%
단독주택 22
 
0.8%
환경위생시설 9
 
0.3%
유통시설 9
 
0.3%
다가구용 주택(공동주택적용) 5
 
0.2%
식품위생시설 5
 
0.2%
Other values (11) 23
 
0.9%

Length

2023-12-11T04:29:21.972266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
근린생활시설 1947
74.8%
na 422
 
16.2%
기타 66
 
2.5%
사무실 57
 
2.2%
판매시설 32
 
1.2%
단독주택 22
 
0.8%
환경위생시설 9
 
0.3%
유통시설 9
 
0.3%
다가구용 5
 
0.2%
주택(공동주택적용 5
 
0.2%
Other values (12) 28
 
1.1%

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2597
Missing (%)100.0%
Memory size23.0 KiB

조명시설조도
Real number (ℝ)

MISSING 

Distinct51
Distinct (%)7.7%
Missing1934
Missing (%)74.5%
Infinite0
Infinite (%)0.0%
Mean54.103258
Minimum40
Maximum405.46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2023-12-11T04:29:22.109639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum40
5-th percentile40
Q140
median40
Q350
95-th percentile114.5
Maximum405.46
Range365.46
Interquartile range (IQR)10

Descriptive statistics

Standard deviation36.328354
Coefficient of variation (CV)0.67146334
Kurtosis33.839301
Mean54.103258
Median Absolute Deviation (MAD)0
Skewness5.2641791
Sum35870.46
Variance1319.7493
MonotonicityNot monotonic
2023-12-11T04:29:22.249089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40.0 354
 
13.6%
50.0 114
 
4.4%
60.0 62
 
2.4%
45.0 16
 
0.6%
80.0 13
 
0.5%
70.0 13
 
0.5%
42.0 9
 
0.3%
43.0 7
 
0.3%
41.0 6
 
0.2%
120.0 6
 
0.2%
Other values (41) 63
 
2.4%
(Missing) 1934
74.5%
ValueCountFrequency (%)
40.0 354
13.6%
41.0 6
 
0.2%
42.0 9
 
0.3%
43.0 7
 
0.3%
44.0 1
 
< 0.1%
45.0 16
 
0.6%
46.0 1
 
< 0.1%
47.0 2
 
0.1%
50.0 114
 
4.4%
51.0 1
 
< 0.1%
ValueCountFrequency (%)
405.46 1
< 0.1%
350.0 1
< 0.1%
302.0 1
< 0.1%
287.0 1
< 0.1%
286.0 1
< 0.1%
270.0 1
< 0.1%
250.0 1
< 0.1%
240.0 2
0.1%
230.0 1
< 0.1%
220.0 1
< 0.1%

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2597
Missing (%)100.0%
Memory size23.0 KiB

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2597
Missing (%)100.0%
Memory size23.0 KiB

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2597
Missing (%)100.0%
Memory size23.0 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2597
Missing (%)100.0%
Memory size23.0 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2597
Missing (%)100.0%
Memory size23.0 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2597
Missing (%)100.0%
Memory size23.0 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2597
Missing (%)100.0%
Memory size23.0 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2597
Missing (%)100.0%
Memory size23.0 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2597
Missing (%)100.0%
Memory size23.0 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2597
Missing (%)100.0%
Memory size23.0 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2597
Missing (%)100.0%
Memory size23.0 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2597
Missing (%)100.0%
Memory size23.0 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2597
Missing (%)100.0%
Memory size23.0 KiB

총게임기수
Real number (ℝ)

MISSING 

Distinct176
Distinct (%)7.2%
Missing142
Missing (%)5.5%
Infinite0
Infinite (%)0.0%
Mean44.428513
Minimum1
Maximum330
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2023-12-11T04:29:22.393608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q16
median39
Q374
95-th percentile120
Maximum330
Range329
Interquartile range (IQR)68

Descriptive statistics

Standard deviation43.382847
Coefficient of variation (CV)0.97646407
Kurtosis1.5870568
Mean44.428513
Median Absolute Deviation (MAD)33
Skewness1.0797615
Sum109072
Variance1882.0714
MonotonicityNot monotonic
2023-12-11T04:29:22.619953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 341
 
13.1%
6 296
 
11.4%
4 142
 
5.5%
7 115
 
4.4%
8 83
 
3.2%
40 69
 
2.7%
50 68
 
2.6%
70 64
 
2.5%
60 61
 
2.3%
10 47
 
1.8%
Other values (166) 1169
45.0%
(Missing) 142
 
5.5%
ValueCountFrequency (%)
1 2
 
0.1%
2 16
 
0.6%
3 19
 
0.7%
4 142
5.5%
5 341
13.1%
6 296
11.4%
7 115
 
4.4%
8 83
 
3.2%
9 25
 
1.0%
10 47
 
1.8%
ValueCountFrequency (%)
330 1
< 0.1%
300 1
< 0.1%
274 1
< 0.1%
240 1
< 0.1%
230 1
< 0.1%
229 1
< 0.1%
211 1
< 0.1%
201 1
< 0.1%
200 1
< 0.1%
194 1
< 0.1%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2597
Missing (%)100.0%
Memory size23.0 KiB
Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.4 KiB
<NA>
1821 
전체이용가
731 
청소년이용불가
 
45

Length

Max length7
Median length4
Mean length4.3334617
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1821
70.1%
전체이용가 731
28.1%
청소년이용불가 45
 
1.7%

Length

2023-12-11T04:29:22.786604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:29:22.887271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1821
70.1%
전체이용가 731
28.1%
청소년이용불가 45
 
1.7%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2597
Missing (%)100.0%
Memory size23.0 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2597
Missing (%)100.0%
Memory size23.0 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2597
Missing (%)100.0%
Memory size23.0 KiB

지역구분명
Categorical

Distinct13
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size20.4 KiB
일반주거지역
1088 
<NA>
378 
일반상업지역
345 
근린상업지역
238 
준주거지역
184 
Other values (8)
364 

Length

Max length6
Median length6
Mean length5.496727
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
일반주거지역 1088
41.9%
<NA> 378
 
14.6%
일반상업지역 345
 
13.3%
근린상업지역 238
 
9.2%
준주거지역 184
 
7.1%
중심상업지역 163
 
6.3%
주거지역 120
 
4.6%
상업지역 57
 
2.2%
준공업지역 11
 
0.4%
일반공업지역 8
 
0.3%
Other values (3) 5
 
0.2%

Length

2023-12-11T04:29:23.005147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반주거지역 1088
41.9%
na 378
 
14.6%
일반상업지역 345
 
13.3%
근린상업지역 238
 
9.2%
준주거지역 184
 
7.1%
중심상업지역 163
 
6.3%
주거지역 120
 
4.6%
상업지역 57
 
2.2%
준공업지역 11
 
0.4%
일반공업지역 8
 
0.3%
Other values (3) 5
 
0.2%

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
01인터넷컴퓨터게임시설제공업03_05_05_P3410000CDFF224102201800000320180802<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동1가 5-2번지 지상3층대구광역시 중구 동성로5길 25, 지상3층 (삼덕동1가)41941히트게임존20180802173057I2018-08-31 23:59:59.0<NA>344075.953606264266.216087인터넷컴퓨터게임시설제공업유통관련업8기타<NA>9.03<NA>판매시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA>전체이용가<NA><NA><NA>중심상업지역
12인터넷컴퓨터게임시설제공업03_05_05_P3410000CDFF224102202100000120210121<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 남산동 613-32대구광역시 중구 명덕로35길 120, 1층 (남산동)41968스마일PC20210304113404U2021-03-06 02:40:00.0<NA>343577.984227263564.270546인터넷컴퓨터게임시설제공업유통관련업3기타<NA>19.541<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>5<NA>전체이용가<NA><NA><NA><NA>
23인터넷컴퓨터게임시설제공업03_05_05_P3410000CDFF224102202100000220210203<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 남산동 2271-11 2층대구광역시 중구 명덕로 57-1, 2층 (남산동)41976신화PC랜드20210203175652I2021-02-05 00:23:13.0<NA>342404.229669263243.052485인터넷컴퓨터게임시설제공업유통관련업4기타<NA>155.132<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>74<NA><NA><NA><NA><NA>근린상업지역
34인터넷컴퓨터게임시설제공업03_05_05_P3410000CDFF224102200800000720080521<NA>4취소/말소/만료/정지/중지35직권말소<NA><NA><NA><NA>053-422-5196<NA><NA>대구광역시 중구 동성로2가 45번지 지상5층대구광역시 중구 동성로 36 (동성로2가,지상5층)<NA>조이넷 PC방20140515174720I2018-08-31 23:59:59.0<NA>344050.980454264501.780795인터넷컴퓨터게임시설제공업유통관련업6기타<NA>219.746<NA>기타<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>93<NA>전체이용가<NA><NA><NA>중심상업지역
45인터넷컴퓨터게임시설제공업03_05_05_P3410000CDFF224102200800000820080521<NA>4취소/말소/만료/정지/중지35직권말소20121016<NA><NA><NA>252-1913<NA><NA>대구광역시 중구 동인동3가 271-30번지 지상1층대구광역시 중구 국채보상로143길 69 (동인동3가,지상1층)<NA>이노동인(점)20121016104233I2018-08-31 23:59:59.0<NA>345188.612214264729.388182인터넷컴퓨터게임시설제공업유통관련업5기타<NA>202.7741기타<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>53<NA>전체이용가<NA><NA><NA>일반주거지역
56인터넷컴퓨터게임시설제공업03_05_05_P3410000CDFF224102200900000820090709<NA>4취소/말소/만료/정지/중지35직권말소20100104<NA><NA><NA><NA><NA><NA>대구광역시 중구 동인동4가 249-10번지대구광역시 중구 국채보상로140길 33 (동인동4가)<NA>애플PC20100414084903I2018-08-31 23:59:59.0<NA>345013.520425264215.805319인터넷컴퓨터게임시설제공업유통관련업5기타<NA>70.141사무실<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA>일반주거지역
67인터넷컴퓨터게임시설제공업03_05_05_P3410000CDFF224102200800001220080605<NA>4취소/말소/만료/정지/중지35직권말소20171101<NA><NA><NA>053-256-0156<NA><NA>대구광역시 중구 동인동2가 222번지 지상2층대구광역시 중구 국채보상로 692 (동인동2가,지상2층)<NA>아이조인클럽20171101151310I2018-08-31 23:59:59.0<NA>344989.656697264368.696518인터넷컴퓨터게임시설제공업유통관련업5기타<NA>105.041근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>30<NA>전체이용가<NA><NA><NA>근린상업지역
78인터넷컴퓨터게임시설제공업03_05_05_P3410000CDFF224102200800001320080613<NA>4취소/말소/만료/정지/중지35직권말소20121016<NA><NA><NA><NA><NA><NA>대구광역시 중구 동인동2가 244-2번지 2층대구광역시 중구 국채보상로140길 34 (동인동2가,2층)<NA>언더어텍20121016104308I2018-08-31 23:59:59.0<NA>344990.230247264215.405625인터넷컴퓨터게임시설제공업유통관련업6기타<NA>110.051사무실<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA>일반주거지역
89인터넷컴퓨터게임시설제공업03_05_05_P3410000CDFF224102201400000620141120<NA>4취소/말소/만료/정지/중지35직권말소20180124<NA><NA><NA><NA><NA><NA>대구광역시 중구 대신동 1039번지 지상1층대구광역시 중구 큰장로12길 82 (대신동, 지상1층)41928서문PC20180125111923I2018-08-31 23:59:59.0<NA>342438.937924264439.959315인터넷컴퓨터게임시설제공업유통관련업<NA>기타<NA>9.92<NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>5<NA>전체이용가<NA><NA><NA>일반주거지역
910인터넷컴퓨터게임시설제공업03_05_05_P3410000CDFF224102201500000120150129<NA>4취소/말소/만료/정지/중지35직권말소20160429<NA><NA><NA><NA><NA><NA>대구광역시 중구 남산동 616-23번지 지상1층대구광역시 중구 명륜로11길 7 (남산동, 지상1층)41966대박PC20160429100734I2018-08-31 23:59:59.0<NA>343592.809776263633.462885인터넷컴퓨터게임시설제공업유통관련업2학교정화(상대)<NA>49.191<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>7<NA>전체이용가<NA><NA><NA>중심상업지역
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
25872588인터넷컴퓨터게임시설제공업03_05_05_P3480000CDFF224102201400000720141008<NA>3폐업3폐업20190813<NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 서재리 93번지 2층대구광역시 달성군 다사읍 서재로 135, 2층42924이게PC방20190813154817U2019-08-15 02:40:00.0<NA>335148.31539264944.804614인터넷컴퓨터게임시설제공업유통관련업2<NA><NA>270.962<NA>근린생활시설<NA>50.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>97<NA>전체이용가<NA><NA><NA>준주거지역
25882589인터넷컴퓨터게임시설제공업03_05_05_P3480000CDFF224102201500000520150312<NA>3폐업3폐업20171116<NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 죽곡리 854-8번지 . 1층대구광역시 달성군 다사읍 대실역남로 106, 1층42917대박PC20171116160515I2018-08-31 23:59:59.0<NA>332508.412706262085.917046인터넷컴퓨터게임시설제공업유통관련업3<NA><NA>46.21<NA>단독주택<NA>60.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>7<NA>전체이용가<NA><NA><NA>일반주거지역
25892590인터넷컴퓨터게임시설제공업03_05_05_P3480000CDFF224102200900001320090528<NA>3폐업3폐업20161121<NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 서재리 172-1번지 (5층)대구광역시 달성군 다사읍 서재로 13442925놀자PC방20161121151657I2018-08-31 23:59:59.0<NA>335199.024546264947.758602인터넷컴퓨터게임시설제공업유통관련업5학교정화(상대)<NA>369.125<NA>기타<NA>130.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>90<NA>전체이용가<NA><NA><NA>준주거지역
25902591인터넷컴퓨터게임시설제공업03_05_05_P3480000CDFF224102200900001520090703<NA>3폐업3폐업20110603<NA><NA><NA><NA><NA><NA>대구광역시 달성군 화원읍 천내리 238-7번지 (2층)대구광역시 달성군 화원읍 성천로26길 41 ((2층))<NA>아트 PC방20110603154443I2018-08-31 23:59:59.0<NA>335197.014546257174.059183인터넷컴퓨터게임시설제공업유통관련업4아파트지역<NA>174.962<NA>근린생활시설<NA>50.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>76<NA>전체이용가<NA><NA><NA>일반주거지역
25912592인터넷컴퓨터게임시설제공업03_05_05_P3480000CDFF224102201400000520140811<NA>3폐업3폐업20141209<NA><NA><NA><NA><NA><NA>대구광역시 달성군 화원읍 본리리 65-2번지대구광역시 달성군 화원읍 명천로 80711838놀토PC방20141209132724I2018-08-31 23:59:59.0<NA>336324.499522256954.272329인터넷컴퓨터게임시설제공업유통관련업1<NA><NA>113.01<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>10<NA><NA><NA><NA><NA>일반주거지역
25922593인터넷컴퓨터게임시설제공업03_05_05_P3480000CDFF224102201400001320141219<NA>3폐업3폐업20160329<NA><NA><NA><NA><NA><NA>대구광역시 달성군 논공읍 북리 824-60번지 1층대구광역시 달성군 논공읍 용호로1길 31, 1층42986게임랜드 PC방20160329150215I2018-08-31 23:59:59.0<NA>330905.906295248648.370415인터넷컴퓨터게임시설제공업유통관련업4<NA><NA>33.61<NA>단독주택<NA>60.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>6<NA><NA><NA><NA><NA>주거지역
25932594인터넷컴퓨터게임시설제공업03_05_05_P3480000CDFF224102201500000120150107<NA>3폐업3폐업20151102<NA><NA><NA><NA><NA><NA>대구광역시 달성군 화원읍 천내리 104-8번지 1층대구광역시 달성군 화원읍 성천로26길 2642948대박PC방20151102114301I2018-08-31 23:59:59.0<NA>335134.14083257212.898115인터넷컴퓨터게임시설제공업유통관련업3<NA><NA>90.091<NA><NA><NA>60.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>9<NA><NA><NA><NA><NA>일반주거지역
25942595인터넷컴퓨터게임시설제공업03_05_05_P3480000CDFF224102201500000420150302<NA>3폐업3폐업20171127<NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍면 원교리 29번지대구광역시 달성군 현풍면 현풍로8길 34, 1층43003행운PC방20171127130607I2018-08-31 23:59:59.0<NA>330401.596118244732.300717인터넷컴퓨터게임시설제공업유통관련업2<NA><NA>35.11<NA>근린생활시설<NA>60.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>6<NA><NA><NA><NA><NA>일반주거지역
25952596인터넷컴퓨터게임시설제공업03_05_05_P3480000CDFF224102201500001320150721<NA>3폐업3폐업20160118<NA><NA><NA><NA><NA><NA>대구광역시 달성군 화원읍 천내리 187-1번지대구광역시 달성군 화원읍 성천로30길 34, 1층42954PC놀이터20160118150923I2018-08-31 23:59:59.0<NA>335321.05833257302.381364인터넷컴퓨터게임시설제공업유통관련업1<NA><NA>31.881<NA>근린생활시설<NA>50.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>5<NA><NA><NA><NA><NA>일반주거지역
25962597인터넷컴퓨터게임시설제공업03_05_05_P3480000CDFF224102201100000320110829<NA>3폐업3폐업20130911<NA><NA><NA>053-615-2130<NA><NA>대구광역시 달성군 구지면 응암리 1188-6번지 (3층)대구광역시 달성군 구지면 과학마을로2길 5-14 ((3층))<NA>1번가PC방20130911172300I2018-08-31 23:59:59.0<NA>328039.908607240434.828496인터넷컴퓨터게임시설제공업유통관련업3주택가주변<NA>168.753<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>63<NA>전체이용가<NA><NA><NA>일반상업지역