Overview

Dataset statistics

Number of variables59
Number of observations81
Missing cells2415
Missing cells (%)50.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory40.8 KiB
Average record size in memory515.6 B

Variable types

Numeric12
Categorical15
Text6
Unsupported26

Dataset

Description6270000_대구광역시_03_05_01_P_게임물배급업_11월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000078215&dataSetDetailId=DDI_0000078231&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
문화체육업종명 has constant value ""Constant
문화사업자구분명 has constant value ""Constant
인허가취소일자 is highly imbalanced (87.9%)Imbalance
상세영업상태코드 is highly imbalanced (51.6%)Imbalance
상세영업상태명 is highly imbalanced (51.6%)Imbalance
데이터갱신구분 is highly imbalanced (71.6%)Imbalance
데이터갱신일자 is highly imbalanced (77.1%)Imbalance
지하층수 is highly imbalanced (57.6%)Imbalance
폐업일자 has 60 (74.1%) missing valuesMissing
휴업시작일자 has 81 (100.0%) missing valuesMissing
휴업종료일자 has 81 (100.0%) missing valuesMissing
재개업일자 has 81 (100.0%) missing valuesMissing
소재지전화 has 49 (60.5%) missing valuesMissing
소재지면적 has 81 (100.0%) missing valuesMissing
소재지우편번호 has 67 (82.7%) missing valuesMissing
도로명전체주소 has 1 (1.2%) missing valuesMissing
도로명우편번호 has 28 (34.6%) missing valuesMissing
업태구분명 has 81 (100.0%) missing valuesMissing
좌표정보(X) has 1 (1.2%) missing valuesMissing
좌표정보(Y) has 1 (1.2%) missing valuesMissing
총층수 has 47 (58.0%) missing valuesMissing
시설면적 has 9 (11.1%) missing valuesMissing
지상층수 has 46 (56.8%) missing valuesMissing
통로너비 has 81 (100.0%) missing valuesMissing
조명시설조도 has 81 (100.0%) missing valuesMissing
노래방실수 has 81 (100.0%) missing valuesMissing
청소년실수 has 81 (100.0%) missing valuesMissing
비상계단여부 has 81 (100.0%) missing valuesMissing
비상구여부 has 81 (100.0%) missing valuesMissing
자동환기여부 has 81 (100.0%) missing valuesMissing
청소년실여부 has 81 (100.0%) missing valuesMissing
특수조명여부 has 81 (100.0%) missing valuesMissing
방음시설여부 has 81 (100.0%) missing valuesMissing
비디오재생기명 has 81 (100.0%) missing valuesMissing
조명시설유무 has 81 (100.0%) missing valuesMissing
음향시설여부 has 81 (100.0%) missing valuesMissing
편의시설여부 has 81 (100.0%) missing valuesMissing
소방시설여부 has 81 (100.0%) missing valuesMissing
총게임기수 has 81 (100.0%) missing valuesMissing
기존게임업외업종명 has 81 (100.0%) missing valuesMissing
제공게임물명 has 81 (100.0%) missing valuesMissing
공연장형태구분명 has 81 (100.0%) missing valuesMissing
품목명 has 81 (100.0%) missing valuesMissing
최초등록시점 has 81 (100.0%) missing valuesMissing
번호 has unique valuesUnique
최종수정시점 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
조명시설조도 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
총게임기수 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
제공게임물명 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
시설면적 has 1 (1.2%) zerosZeros

Reproduction

Analysis started2023-12-10 18:26:19.651789
Analysis finished2023-12-10 18:26:20.758428
Duration1.11 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct81
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41
Minimum1
Maximum81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size861.0 B
2023-12-11T03:26:20.904852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q121
median41
Q361
95-th percentile77
Maximum81
Range80
Interquartile range (IQR)40

Descriptive statistics

Standard deviation23.526581
Coefficient of variation (CV)0.57381904
Kurtosis-1.2
Mean41
Median Absolute Deviation (MAD)20
Skewness0
Sum3321
Variance553.5
MonotonicityStrictly increasing
2023-12-11T03:26:21.188494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.2%
62 1
 
1.2%
60 1
 
1.2%
59 1
 
1.2%
58 1
 
1.2%
57 1
 
1.2%
56 1
 
1.2%
55 1
 
1.2%
54 1
 
1.2%
53 1
 
1.2%
Other values (71) 71
87.7%
ValueCountFrequency (%)
1 1
1.2%
2 1
1.2%
3 1
1.2%
4 1
1.2%
5 1
1.2%
6 1
1.2%
7 1
1.2%
8 1
1.2%
9 1
1.2%
10 1
1.2%
ValueCountFrequency (%)
81 1
1.2%
80 1
1.2%
79 1
1.2%
78 1
1.2%
77 1
1.2%
76 1
1.2%
75 1
1.2%
74 1
1.2%
73 1
1.2%
72 1
1.2%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size780.0 B
게임물배급업
81 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
게임물배급업 81
100.0%

Length

2023-12-11T03:26:21.458433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:26:21.664850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
게임물배급업 81
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size780.0 B
03_05_01_P
81 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03_05_01_P
2nd row03_05_01_P
3rd row03_05_01_P
4th row03_05_01_P
5th row03_05_01_P

Common Values

ValueCountFrequency (%)
03_05_01_P 81
100.0%

Length

2023-12-11T03:26:21.843528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:26:22.027147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_05_01_p 81
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)9.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3446049.4
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size861.0 B
2023-12-11T03:26:22.194029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13440000
median3450000
Q33460000
95-th percentile3470000
Maximum3480000
Range70000
Interquartile range (IQR)20000

Descriptive statistics

Standard deviation19979.928
Coefficient of variation (CV)0.0057979228
Kurtosis-0.78276883
Mean3446049.4
Median Absolute Deviation (MAD)10000
Skewness-0.49573722
Sum2.7913 × 108
Variance3.9919753 × 108
MonotonicityIncreasing
2023-12-11T03:26:22.420964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3460000 19
23.5%
3440000 16
19.8%
3450000 13
16.0%
3470000 12
14.8%
3410000 10
12.3%
3420000 7
 
8.6%
3430000 2
 
2.5%
3480000 2
 
2.5%
ValueCountFrequency (%)
3410000 10
12.3%
3420000 7
 
8.6%
3430000 2
 
2.5%
3440000 16
19.8%
3450000 13
16.0%
3460000 19
23.5%
3470000 12
14.8%
3480000 2
 
2.5%
ValueCountFrequency (%)
3480000 2
 
2.5%
3470000 12
14.8%
3460000 19
23.5%
3450000 13
16.0%
3440000 16
19.8%
3430000 2
 
2.5%
3420000 7
 
8.6%
3410000 10
12.3%

관리번호
Text

Distinct41
Distinct (%)50.6%
Missing0
Missing (%)0.0%
Memory size780.0 B
2023-12-11T03:26:22.772802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1620
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

Unique17 ?
Unique (%)21.0%

Sample

1st rowCDFF2241122016000002
2nd rowCDFF2241122016000001
3rd rowCDFF2241122001000001
4th rowCDFF2241122002000001
5th rowCDFF2241122007000001
ValueCountFrequency (%)
cdff2241122011000001 5
 
6.2%
cdff2241122015000001 4
 
4.9%
cdff2241122008000001 4
 
4.9%
cdff2241122019000001 4
 
4.9%
cdff2241122010000001 4
 
4.9%
cdff2241122014000001 4
 
4.9%
cdff2241122018000001 3
 
3.7%
cdff2241122012000001 3
 
3.7%
cdff2241122016000001 3
 
3.7%
cdff2241122017000001 2
 
2.5%
Other values (31) 45
55.6%
2023-12-11T03:26:23.348848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 513
31.7%
2 348
21.5%
1 284
17.5%
F 162
 
10.0%
4 90
 
5.6%
C 81
 
5.0%
D 81
 
5.0%
9 16
 
1.0%
3 13
 
0.8%
8 12
 
0.7%
Other values (3) 20
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1296
80.0%
Uppercase Letter 324
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 513
39.6%
2 348
26.9%
1 284
21.9%
4 90
 
6.9%
9 16
 
1.2%
3 13
 
1.0%
8 12
 
0.9%
7 9
 
0.7%
6 6
 
0.5%
5 5
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
F 162
50.0%
C 81
25.0%
D 81
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1296
80.0%
Latin 324
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 513
39.6%
2 348
26.9%
1 284
21.9%
4 90
 
6.9%
9 16
 
1.2%
3 13
 
1.0%
8 12
 
0.9%
7 9
 
0.7%
6 6
 
0.5%
5 5
 
0.4%
Latin
ValueCountFrequency (%)
F 162
50.0%
C 81
25.0%
D 81
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1620
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 513
31.7%
2 348
21.5%
1 284
17.5%
F 162
 
10.0%
4 90
 
5.6%
C 81
 
5.0%
D 81
 
5.0%
9 16
 
1.0%
3 13
 
0.8%
8 12
 
0.7%
Other values (3) 20
 
1.2%

인허가일자
Real number (ℝ)

Distinct77
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20110941
Minimum19990618
Maximum20190501
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size861.0 B
2023-12-11T03:26:23.569934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19990618
5-th percentile20001108
Q120080827
median20120105
Q320141125
95-th percentile20180126
Maximum20190501
Range199883
Interquartile range (IQR)60298

Descriptive statistics

Standard deviation49699.489
Coefficient of variation (CV)0.0024712662
Kurtosis0.23515434
Mean20110941
Median Absolute Deviation (MAD)30712
Skewness-0.78248855
Sum1.6289862 × 109
Variance2.4700392 × 109
MonotonicityNot monotonic
2023-12-11T03:26:23.828526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20131024 3
 
3.7%
20160504 2
 
2.5%
20011129 2
 
2.5%
20180703 1
 
1.2%
20121102 1
 
1.2%
20150608 1
 
1.2%
20120813 1
 
1.2%
20120105 1
 
1.2%
20111018 1
 
1.2%
20110615 1
 
1.2%
Other values (67) 67
82.7%
ValueCountFrequency (%)
19990618 1
1.2%
19990623 1
1.2%
19991208 1
1.2%
20000807 1
1.2%
20001108 1
1.2%
20011129 2
2.5%
20020216 1
1.2%
20030719 1
1.2%
20060321 1
1.2%
20060425 1
1.2%
ValueCountFrequency (%)
20190501 1
1.2%
20180719 1
1.2%
20180703 1
1.2%
20180509 1
1.2%
20180126 1
1.2%
20171221 1
1.2%
20171102 1
1.2%
20170707 1
1.2%
20170522 1
1.2%
20170419 1
1.2%

인허가취소일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size780.0 B
<NA>
79 
20110302
 
1
20070726
 
1

Length

Max length8
Median length4
Mean length4.0987654
Min length4

Unique

Unique2 ?
Unique (%)2.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 79
97.5%
20110302 1
 
1.2%
20070726 1
 
1.2%

Length

2023-12-11T03:26:24.066325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:26:24.265710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 79
97.5%
20110302 1
 
1.2%
20070726 1
 
1.2%

영업상태구분코드
Categorical

Distinct3
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size780.0 B
1
58 
3
19 
4
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 58
71.6%
3 19
 
23.5%
4 4
 
4.9%

Length

2023-12-11T03:26:24.434923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:26:24.597313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 58
71.6%
3 19
 
23.5%
4 4
 
4.9%

영업상태명
Categorical

Distinct3
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size780.0 B
영업/정상
58 
폐업
19 
취소/말소/만료/정지/중지
 
4

Length

Max length14
Median length5
Mean length4.7407407
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
2nd row영업/정상
3rd row영업/정상
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
영업/정상 58
71.6%
폐업 19
 
23.5%
취소/말소/만료/정지/중지 4
 
4.9%

Length

2023-12-11T03:26:24.732907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:26:24.915777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 58
71.6%
폐업 19
 
23.5%
취소/말소/만료/정지/중지 4
 
4.9%

상세영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size780.0 B
13
58 
3
19 
35
 
2
31
 
1
30
 
1

Length

Max length2
Median length2
Mean length1.7654321
Min length1

Unique

Unique2 ?
Unique (%)2.5%

Sample

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

Common Values

ValueCountFrequency (%)
13 58
71.6%
3 19
 
23.5%
35 2
 
2.5%
31 1
 
1.2%
30 1
 
1.2%

Length

2023-12-11T03:26:25.109876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:26:25.284586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 58
71.6%
3 19
 
23.5%
35 2
 
2.5%
31 1
 
1.2%
30 1
 
1.2%

상세영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size780.0 B
영업중
58 
폐업
19 
직권말소
 
2
등록취소
 
1
허가취소
 
1

Length

Max length4
Median length3
Mean length2.8148148
Min length2

Unique

Unique2 ?
Unique (%)2.5%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 58
71.6%
폐업 19
 
23.5%
직권말소 2
 
2.5%
등록취소 1
 
1.2%
허가취소 1
 
1.2%

Length

2023-12-11T03:26:25.468364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:26:25.668484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 58
71.6%
폐업 19
 
23.5%
직권말소 2
 
2.5%
등록취소 1
 
1.2%
허가취소 1
 
1.2%

폐업일자
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)100.0%
Missing60
Missing (%)74.1%
Infinite0
Infinite (%)0.0%
Mean20116829
Minimum20050912
Maximum20180720
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size861.0 B
2023-12-11T03:26:25.862172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20050912
5-th percentile20070313
Q120090323
median20120131
Q320140808
95-th percentile20161123
Maximum20180720
Range129808
Interquartile range (IQR)50485

Descriptive statistics

Standard deviation34171.515
Coefficient of variation (CV)0.0016986532
Kurtosis-0.6509054
Mean20116829
Median Absolute Deviation (MAD)21095
Skewness-0.07594969
Sum4.2245341 × 108
Variance1.1676924 × 109
MonotonicityNot monotonic
2023-12-11T03:26:26.375745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
20050912 1
 
1.2%
20141226 1
 
1.2%
20110704 1
 
1.2%
20140808 1
 
1.2%
20090320 1
 
1.2%
20160329 1
 
1.2%
20180720 1
 
1.2%
20101231 1
 
1.2%
20110210 1
 
1.2%
20120131 1
 
1.2%
Other values (11) 11
 
13.6%
(Missing) 60
74.1%
ValueCountFrequency (%)
20050912 1
1.2%
20070313 1
1.2%
20070703 1
1.2%
20080418 1
1.2%
20090320 1
1.2%
20090323 1
1.2%
20101123 1
1.2%
20101231 1
1.2%
20110210 1
1.2%
20110704 1
1.2%
ValueCountFrequency (%)
20180720 1
1.2%
20161123 1
1.2%
20160329 1
1.2%
20150827 1
1.2%
20141226 1
1.2%
20140808 1
1.2%
20140731 1
1.2%
20140122 1
1.2%
20120726 1
1.2%
20120406 1
1.2%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing81
Missing (%)100.0%
Memory size861.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing81
Missing (%)100.0%
Memory size861.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing81
Missing (%)100.0%
Memory size861.0 B

소재지전화
Text

MISSING 

Distinct32
Distinct (%)100.0%
Missing49
Missing (%)60.5%
Memory size780.0 B
2023-12-11T03:26:26.678761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.84375
Min length8

Characters and Unicode

Total characters347
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

Unique32 ?
Unique (%)100.0%

Sample

1st row070-8670-1959
2nd row(053)217-5300
3rd row(053)591-9500
4th row(053)421-1222
5th row(053)953-0780
ValueCountFrequency (%)
053 2
 
5.9%
053-719-0606 1
 
2.9%
582-7201 1
 
2.9%
053-752-0456 1
 
2.9%
053-761-4486 1
 
2.9%
053-746-7740 1
 
2.9%
053-753-2729 1
 
2.9%
070-8813-8441 1
 
2.9%
053-768-1581 1
 
2.9%
070-8670-1959 1
 
2.9%
Other values (23) 23
67.6%
2023-12-11T03:26:27.175994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 49
14.1%
0 47
13.5%
- 41
11.8%
3 39
11.2%
7 37
10.7%
1 28
8.1%
6 28
8.1%
2 21
6.1%
9 16
 
4.6%
8 16
 
4.6%
Other values (4) 25
7.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 296
85.3%
Dash Punctuation 41
 
11.8%
Open Punctuation 4
 
1.2%
Close Punctuation 4
 
1.2%
Space Separator 2
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 49
16.6%
0 47
15.9%
3 39
13.2%
7 37
12.5%
1 28
9.5%
6 28
9.5%
2 21
7.1%
9 16
 
5.4%
8 16
 
5.4%
4 15
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 347
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 49
14.1%
0 47
13.5%
- 41
11.8%
3 39
11.2%
7 37
10.7%
1 28
8.1%
6 28
8.1%
2 21
6.1%
9 16
 
4.6%
8 16
 
4.6%
Other values (4) 25
7.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 347
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 49
14.1%
0 47
13.5%
- 41
11.8%
3 39
11.2%
7 37
10.7%
1 28
8.1%
6 28
8.1%
2 21
6.1%
9 16
 
4.6%
8 16
 
4.6%
Other values (4) 25
7.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing81
Missing (%)100.0%
Memory size861.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)92.9%
Missing67
Missing (%)82.7%
Infinite0
Infinite (%)0.0%
Mean703689.43
Minimum700170
Maximum706840
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size861.0 B
2023-12-11T03:26:27.367170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700170
5-th percentile700326.65
Q1700423
median704861
Q3706643.25
95-th percentile706828.95
Maximum706840
Range6670
Interquartile range (IQR)6220.25

Descriptive statistics

Standard deviation2988.7672
Coefficient of variation (CV)0.0042472816
Kurtosis-2.1128581
Mean703689.43
Median Absolute Deviation (MAD)1970.5
Skewness-0.18925932
Sum9851652
Variance8932729.3
MonotonicityNot monotonic
2023-12-11T03:26:27.568651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
700423 2
 
2.5%
700421 1
 
1.2%
700411 1
 
1.2%
700809 1
 
1.2%
700170 1
 
1.2%
705817 1
 
1.2%
706823 1
 
1.2%
706801 1
 
1.2%
706822 1
 
1.2%
706840 1
 
1.2%
Other values (3) 3
 
3.7%
(Missing) 67
82.7%
ValueCountFrequency (%)
700170 1
1.2%
700411 1
1.2%
700421 1
1.2%
700423 2
2.5%
700809 1
1.2%
704801 1
1.2%
704921 1
1.2%
705817 1
1.2%
706170 1
1.2%
706801 1
1.2%
ValueCountFrequency (%)
706840 1
1.2%
706823 1
1.2%
706822 1
1.2%
706801 1
1.2%
706170 1
1.2%
705817 1
1.2%
704921 1
1.2%
704801 1
1.2%
700809 1
1.2%
700423 2
2.5%

소재지전체주소
Text

Distinct80
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size780.0 B
2023-12-11T03:26:28.030073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length38
Mean length26.098765
Min length18

Characters and Unicode

Total characters2114
Distinct characters142
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique79 ?
Unique (%)97.5%

Sample

1st row대구광역시 중구 대봉동 152-80번지
2nd row대구광역시 중구 대봉동 152-80번지 2층
3rd row대구광역시 중구 동성로2가 88-25번지 교보생명빌딩 14층
4th row대구광역시 중구 동인동1가 33-1번지 동인시티타운 2층
5th row대구광역시 중구 삼덕동1가 57번지 B동
ValueCountFrequency (%)
대구광역시 81
 
20.5%
수성구 19
 
4.8%
남구 16
 
4.0%
북구 13
 
3.3%
달서구 12
 
3.0%
대명동 11
 
2.8%
중구 10
 
2.5%
동구 7
 
1.8%
2층 7
 
1.8%
봉덕동 5
 
1.3%
Other values (171) 215
54.3%
2023-12-11T03:26:28.703303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
386
18.3%
구 168
 
7.9%
1 108
 
5.1%
대 106
 
5.0%
동 97
 
4.6%
지 91
 
4.3%
시 82
 
3.9%
광 82
 
3.9%
역 82
 
3.9%
번 81
 
3.8%
Other values (132) 831
39.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1219
57.7%
Decimal Number 434
 
20.5%
Space Separator 386
 
18.3%
Dash Punctuation 64
 
3.0%
Open Punctuation 5
 
0.2%
Close Punctuation 5
 
0.2%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 168
13.8%
대 106
 
8.7%
동 97
 
8.0%
지 91
 
7.5%
시 82
 
6.7%
광 82
 
6.7%
역 82
 
6.7%
번 81
 
6.6%
성 29
 
2.4%
수 19
 
1.6%
Other values (117) 382
31.3%
Decimal Number
ValueCountFrequency (%)
1 108
24.9%
2 79
18.2%
0 49
11.3%
3 44
10.1%
7 29
 
6.7%
8 28
 
6.5%
6 27
 
6.2%
5 24
 
5.5%
9 24
 
5.5%
4 22
 
5.1%
Space Separator
ValueCountFrequency (%)
386
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1219
57.7%
Common 894
42.3%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 168
13.8%
대 106
 
8.7%
동 97
 
8.0%
지 91
 
7.5%
시 82
 
6.7%
광 82
 
6.7%
역 82
 
6.7%
번 81
 
6.6%
성 29
 
2.4%
수 19
 
1.6%
Other values (117) 382
31.3%
Common
ValueCountFrequency (%)
386
43.2%
1 108
 
12.1%
2 79
 
8.8%
- 64
 
7.2%
0 49
 
5.5%
3 44
 
4.9%
7 29
 
3.2%
8 28
 
3.1%
6 27
 
3.0%
5 24
 
2.7%
Other values (4) 56
 
6.3%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1219
57.7%
ASCII 895
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
386
43.1%
1 108
 
12.1%
2 79
 
8.8%
- 64
 
7.2%
0 49
 
5.5%
3 44
 
4.9%
7 29
 
3.2%
8 28
 
3.1%
6 27
 
3.0%
5 24
 
2.7%
Other values (5) 57
 
6.4%
Hangul
ValueCountFrequency (%)
구 168
13.8%
대 106
 
8.7%
동 97
 
8.0%
지 91
 
7.5%
시 82
 
6.7%
광 82
 
6.7%
역 82
 
6.7%
번 81
 
6.6%
성 29
 
2.4%
수 19
 
1.6%
Other values (117) 382
31.3%

도로명전체주소
Text

MISSING 

Distinct79
Distinct (%)98.8%
Missing1
Missing (%)1.2%
Memory size780.0 B
2023-12-11T03:26:29.257370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length42
Mean length32.325
Min length21

Characters and Unicode

Total characters2586
Distinct characters182
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

Unique78 ?
Unique (%)97.5%

Sample

1st row대구광역시 중구 이천로 184-10 (대봉동)
2nd row대구광역시 중구 이천로 184-10, 2층 (대봉동)
3rd row대구광역시 중구 국채보상로 586 (동성로2가,교보생명빌딩 14층)
4th row대구광역시 중구 국채보상로131길 55 (동인동1가,동인시티타운 2층)
5th row대구광역시 중구 동성로4길 38 (삼덕동1가,B동)
ValueCountFrequency (%)
대구광역시 80
 
16.2%
수성구 18
 
3.6%
남구 16
 
3.2%
북구 13
 
2.6%
달서구 12
 
2.4%
중구 10
 
2.0%
대명동 9
 
1.8%
2층 9
 
1.8%
동구 7
 
1.4%
봉덕동 5
 
1.0%
Other values (244) 316
63.8%
2023-12-11T03:26:29.995183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
440
 
17.0%
구 175
 
6.8%
대 122
 
4.7%
동 111
 
4.3%
1 88
 
3.4%
2 84
 
3.2%
광 83
 
3.2%
시 82
 
3.2%
역 81
 
3.1%
( 80
 
3.1%
Other values (172) 1240
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1461
56.5%
Space Separator 440
 
17.0%
Decimal Number 427
 
16.5%
Open Punctuation 80
 
3.1%
Close Punctuation 80
 
3.1%
Other Punctuation 79
 
3.1%
Dash Punctuation 16
 
0.6%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 175
 
12.0%
대 122
 
8.4%
동 111
 
7.6%
광 83
 
5.7%
시 82
 
5.6%
역 81
 
5.5%
로 77
 
5.3%
성 38
 
2.6%
길 38
 
2.6%
호 36
 
2.5%
Other values (154) 618
42.3%
Decimal Number
ValueCountFrequency (%)
1 88
20.6%
2 84
19.7%
0 52
12.2%
3 42
9.8%
4 40
9.4%
8 31
 
7.3%
5 31
 
7.3%
7 22
 
5.2%
6 20
 
4.7%
9 17
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
I 1
33.3%
T 1
33.3%
B 1
33.3%
Space Separator
ValueCountFrequency (%)
440
100.0%
Open Punctuation
ValueCountFrequency (%)
( 80
100.0%
Close Punctuation
ValueCountFrequency (%)
) 80
100.0%
Other Punctuation
ValueCountFrequency (%)
, 79
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1461
56.5%
Common 1122
43.4%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 175
 
12.0%
대 122
 
8.4%
동 111
 
7.6%
광 83
 
5.7%
시 82
 
5.6%
역 81
 
5.5%
로 77
 
5.3%
성 38
 
2.6%
길 38
 
2.6%
호 36
 
2.5%
Other values (154) 618
42.3%
Common
ValueCountFrequency (%)
440
39.2%
1 88
 
7.8%
2 84
 
7.5%
( 80
 
7.1%
) 80
 
7.1%
, 79
 
7.0%
0 52
 
4.6%
3 42
 
3.7%
4 40
 
3.6%
8 31
 
2.8%
Other values (5) 106
 
9.4%
Latin
ValueCountFrequency (%)
I 1
33.3%
T 1
33.3%
B 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1461
56.5%
ASCII 1125
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
440
39.1%
1 88
 
7.8%
2 84
 
7.5%
( 80
 
7.1%
) 80
 
7.1%
, 79
 
7.0%
0 52
 
4.6%
3 42
 
3.7%
4 40
 
3.6%
8 31
 
2.8%
Other values (8) 109
 
9.7%
Hangul
ValueCountFrequency (%)
구 175
 
12.0%
대 122
 
8.4%
동 111
 
7.6%
광 83
 
5.7%
시 82
 
5.6%
역 81
 
5.5%
로 77
 
5.3%
성 38
 
2.6%
길 38
 
2.6%
호 36
 
2.5%
Other values (154) 618
42.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct45
Distinct (%)84.9%
Missing28
Missing (%)34.6%
Infinite0
Infinite (%)0.0%
Mean92066.472
Minimum41108
Maximum705831
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size861.0 B
2023-12-11T03:26:30.231554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41108
5-th percentile41150.2
Q141566
median42173
Q342503
95-th percentile703695.6
Maximum705831
Range664723
Interquartile range (IQR)937

Descriptive statistics

Standard deviation176761.38
Coefficient of variation (CV)1.9199322
Kurtosis9.2969363
Mean92066.472
Median Absolute Deviation (MAD)561
Skewness3.3086429
Sum4879523
Variance3.1244586 × 1010
MonotonicityNot monotonic
2023-12-11T03:26:30.460025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
42403 5
 
6.2%
41125 2
 
2.5%
41585 2
 
2.5%
41956 2
 
2.5%
41256 2
 
2.5%
41108 1
 
1.2%
42764 1
 
1.2%
42011 1
 
1.2%
42060 1
 
1.2%
42173 1
 
1.2%
Other values (35) 35
43.2%
(Missing) 28
34.6%
ValueCountFrequency (%)
41108 1
1.2%
41125 2
2.5%
41167 1
1.2%
41256 2
2.5%
41260 1
1.2%
41450 1
1.2%
41503 1
1.2%
41505 1
1.2%
41518 1
1.2%
41536 1
1.2%
ValueCountFrequency (%)
705831 1
1.2%
705816 1
1.2%
704940 1
1.2%
702866 1
1.2%
42930 1
1.2%
42818 1
1.2%
42781 1
1.2%
42764 1
1.2%
42756 1
1.2%
42734 1
1.2%

사업장명
Text

Distinct78
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size780.0 B
2023-12-11T03:26:30.823723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length6.9135802
Min length2

Characters and Unicode

Total characters560
Distinct characters161
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique76 ?
Unique (%)93.8%

Sample

1st row주식회사 퍼니팩
2nd row주식회사 나우게임즈
3rd row주식회사 코그
4th row(주)지오텍시스템
5th row(주)상아개발
ValueCountFrequency (%)
주식회사 7
 
7.4%
다모아 3
 
3.2%
휴즈넷 2
 
2.1%
게임아시아 2
 
2.1%
태성미디어 1
 
1.1%
두산전자 1
 
1.1%
동부상사 1
 
1.1%
주)플랜즈 1
 
1.1%
주)에버앱스 1
 
1.1%
동백전자 1
 
1.1%
Other values (75) 75
78.9%
2023-12-11T03:26:31.414036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 38
 
6.8%
) 31
 
5.5%
( 31
 
5.5%
이 21
 
3.8%
스 17
 
3.0%
트 17
 
3.0%
14
 
2.5%
프 12
 
2.1%
사 12
 
2.1%
아 12
 
2.1%
Other values (151) 355
63.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 464
82.9%
Close Punctuation 31
 
5.5%
Open Punctuation 31
 
5.5%
Uppercase Letter 15
 
2.7%
Space Separator 14
 
2.5%
Decimal Number 4
 
0.7%
Lowercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 38
 
8.2%
이 21
 
4.5%
스 17
 
3.7%
트 17
 
3.7%
프 12
 
2.6%
사 12
 
2.6%
아 12
 
2.6%
식 11
 
2.4%
지 10
 
2.2%
회 10
 
2.2%
Other values (132) 304
65.5%
Uppercase Letter
ValueCountFrequency (%)
S 2
13.3%
O 2
13.3%
C 2
13.3%
V 1
6.7%
G 1
6.7%
D 1
6.7%
P 1
6.7%
U 1
6.7%
A 1
6.7%
M 1
6.7%
Other values (2) 2
13.3%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
4 1
25.0%
1 1
25.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Space Separator
ValueCountFrequency (%)
14
100.0%
Lowercase Letter
ValueCountFrequency (%)
u 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 464
82.9%
Common 80
 
14.3%
Latin 16
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 38
 
8.2%
이 21
 
4.5%
스 17
 
3.7%
트 17
 
3.7%
프 12
 
2.6%
사 12
 
2.6%
아 12
 
2.6%
식 11
 
2.4%
지 10
 
2.2%
회 10
 
2.2%
Other values (132) 304
65.5%
Latin
ValueCountFrequency (%)
S 2
12.5%
O 2
12.5%
C 2
12.5%
V 1
 
6.2%
u 1
 
6.2%
G 1
 
6.2%
D 1
 
6.2%
P 1
 
6.2%
U 1
 
6.2%
A 1
 
6.2%
Other values (3) 3
18.8%
Common
ValueCountFrequency (%)
) 31
38.8%
( 31
38.8%
14
17.5%
2 2
 
2.5%
4 1
 
1.2%
1 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 464
82.9%
ASCII 96
 
17.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 38
 
8.2%
이 21
 
4.5%
스 17
 
3.7%
트 17
 
3.7%
프 12
 
2.6%
사 12
 
2.6%
아 12
 
2.6%
식 11
 
2.4%
지 10
 
2.2%
회 10
 
2.2%
Other values (132) 304
65.5%
ASCII
ValueCountFrequency (%)
) 31
32.3%
( 31
32.3%
14
14.6%
S 2
 
2.1%
O 2
 
2.1%
C 2
 
2.1%
2 2
 
2.1%
4 1
 
1.0%
1 1
 
1.0%
V 1
 
1.0%
Other values (9) 9
 
9.4%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct81
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0134572 × 1013
Minimum2.0070703 × 1013
Maximum2.0190926 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size861.0 B
2023-12-11T03:26:31.672524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0070703 × 1013
5-th percentile2.0070808 × 1013
Q12.0110302 × 1013
median2.0140226 × 1013
Q32.0161018 × 1013
95-th percentile2.0190502 × 1013
Maximum2.0190926 × 1013
Range1.2022295 × 1011
Interquartile range (IQR)5.0715958 × 1010

Descriptive statistics

Standard deviation3.6330437 × 1010
Coefficient of variation (CV)0.0018043809
Kurtosis-0.93369691
Mean2.0134572 × 1013
Median Absolute Deviation (MAD)2.9820947 × 1010
Skewness-0.19913475
Sum1.6309004 × 1015
Variance1.3199006 × 1021
MonotonicityNot monotonic
2023-12-11T03:26:31.941204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20160504101209 1
 
1.2%
20120131093648 1
 
1.2%
20080129170130 1
 
1.2%
20150608181758 1
 
1.2%
20130624090413 1
 
1.2%
20120105130619 1
 
1.2%
20111030142918 1
 
1.2%
20110615093954 1
 
1.2%
20110405164612 1
 
1.2%
20100409172547 1
 
1.2%
Other values (71) 71
87.7%
ValueCountFrequency (%)
20070703163137 1
1.2%
20070726130836 1
1.2%
20070808163439 1
1.2%
20070808164038 1
1.2%
20070808165256 1
1.2%
20070808170416 1
1.2%
20071004101300 1
1.2%
20080129170130 1
1.2%
20080411094347 1
1.2%
20080429165137 1
1.2%
ValueCountFrequency (%)
20190926112045 1
1.2%
20190703155707 1
1.2%
20190703154802 1
1.2%
20190625104738 1
1.2%
20190502115702 1
1.2%
20190501163412 1
1.2%
20190412174430 1
1.2%
20180720141305 1
1.2%
20180626175445 1
1.2%
20180329164944 1
1.2%

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size780.0 B
I
77 
U
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 77
95.1%
U 4
 
4.9%

Length

2023-12-11T03:26:32.247683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:26:32.444092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 77
95.1%
u 4
 
4.9%

데이터갱신일자
Categorical

IMBALANCE 

Distinct7
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size780.0 B
2018-08-31 23:59:59.0
74 
2019-07-05 02:40:00.0
 
2
2019-04-14 02:40:00.0
 
1
2019-06-27 02:40:00.0
 
1
2019-05-04 02:20:55.0
 
1
Other values (2)
 
2

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique5 ?
Unique (%)6.2%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2019-04-14 02:40:00.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 74
91.4%
2019-07-05 02:40:00.0 2
 
2.5%
2019-04-14 02:40:00.0 1
 
1.2%
2019-06-27 02:40:00.0 1
 
1.2%
2019-05-04 02:20:55.0 1
 
1.2%
2019-05-03 02:20:36.0 1
 
1.2%
2019-09-27 02:22:37.0 1
 
1.2%

Length

2023-12-11T03:26:32.647001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:26:32.859451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-08-31 74
45.7%
23:59:59.0 74
45.7%
02:40:00.0 4
 
2.5%
2019-07-05 2
 
1.2%
2019-04-14 1
 
0.6%
2019-06-27 1
 
0.6%
2019-05-04 1
 
0.6%
02:20:55.0 1
 
0.6%
2019-05-03 1
 
0.6%
02:20:36.0 1
 
0.6%
Other values (2) 2
 
1.2%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing81
Missing (%)100.0%
Memory size861.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct72
Distinct (%)90.0%
Missing1
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean343802.82
Minimum333415.22
Maximum354755.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size861.0 B
2023-12-11T03:26:33.124737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum333415.22
5-th percentile335620.43
Q1342566.72
median344380.34
Q3345729.25
95-th percentile349089.47
Maximum354755.03
Range21339.816
Interquartile range (IQR)3162.5275

Descriptive statistics

Standard deviation4183.9732
Coefficient of variation (CV)0.012169689
Kurtosis0.94537552
Mean343802.82
Median Absolute Deviation (MAD)1648.2697
Skewness-0.14656227
Sum27504225
Variance17505632
MonotonicityNot monotonic
2023-12-11T03:26:33.415561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
342774.766132 4
 
4.9%
353862.969131 2
 
2.5%
343318.955676 2
 
2.5%
345435.631983 2
 
2.5%
345641.188638 2
 
2.5%
344380.339865 2
 
2.5%
335193.722935 1
 
1.2%
334875.549386 1
 
1.2%
345181.033409 1
 
1.2%
345030.510396 1
 
1.2%
Other values (62) 62
76.5%
ValueCountFrequency (%)
333415.217405 1
1.2%
334875.549386 1
1.2%
334920.933624 1
1.2%
335193.722935 1
1.2%
335642.888399 1
1.2%
335806.191873 1
1.2%
336178.174639 1
1.2%
337678.732425 1
1.2%
338003.522354 1
1.2%
338451.426686 1
1.2%
ValueCountFrequency (%)
354755.033317 1
1.2%
353862.969131 2
2.5%
352725.021343 1
1.2%
348898.124525 1
1.2%
348666.821547 1
1.2%
348665.873375 1
1.2%
348070.291081 1
1.2%
348032.167321 1
1.2%
347464.052033 1
1.2%
346779.272259 1
1.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct72
Distinct (%)90.0%
Missing1
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean263243.68
Minimum257161.28
Maximum271327.71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size861.0 B
2023-12-11T03:26:33.687150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum257161.28
5-th percentile259524.91
Q1261392.37
median262976.45
Q3264770.9
95-th percentile268264.98
Maximum271327.71
Range14166.422
Interquartile range (IQR)3378.5264

Descriptive statistics

Standard deviation2723.1849
Coefficient of variation (CV)0.01034473
Kurtosis0.58370432
Mean263243.68
Median Absolute Deviation (MAD)1640.7974
Skewness0.54175198
Sum21059495
Variance7415736
MonotonicityNot monotonic
2023-12-11T03:26:33.945775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
262912.887933 4
 
4.9%
265380.272888 2
 
2.5%
266167.784875 2
 
2.5%
259801.351093 2
 
2.5%
261397.463751 2
 
2.5%
263105.091214 2
 
2.5%
259549.788813 1
 
1.2%
263040.008104 1
 
1.2%
269009.174969 1
 
1.2%
267616.268895 1
 
1.2%
Other values (62) 62
76.5%
ValueCountFrequency (%)
257161.284214 1
1.2%
258226.476813 1
1.2%
258570.98584 1
1.2%
259052.115282 1
1.2%
259549.788813 1
1.2%
259801.351093 2
2.5%
260187.845624 1
1.2%
260244.108497 1
1.2%
260454.423978 1
1.2%
260479.646796 1
1.2%
ValueCountFrequency (%)
271327.706448 1
1.2%
270672.162723 1
1.2%
269009.174969 1
1.2%
268476.874903 1
1.2%
268253.830253 1
1.2%
267616.268895 1
1.2%
266987.666828 1
1.2%
266601.164356 1
1.2%
266264.147834 1
1.2%
266167.784875 2
2.5%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size780.0 B
게임물배급업
81 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
게임물배급업 81
100.0%

Length

2023-12-11T03:26:34.209128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:26:34.401031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
게임물배급업 81
100.0%

문화사업자구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size780.0 B
유통관련업
81 

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 81
100.0%

Length

2023-12-11T03:26:34.582686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:26:34.806989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 81
100.0%

총층수
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)35.3%
Missing47
Missing (%)58.0%
Infinite0
Infinite (%)0.0%
Mean5
Minimum1
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size861.0 B
2023-12-11T03:26:35.002774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.65
Q12
median4
Q35
95-th percentile13.7
Maximum20
Range19
Interquartile range (IQR)3

Descriptive statistics

Standard deviation4.2852814
Coefficient of variation (CV)0.85705627
Kurtosis4.1323113
Mean5
Median Absolute Deviation (MAD)2
Skewness1.9982629
Sum170
Variance18.363636
MonotonicityNot monotonic
2023-12-11T03:26:35.228117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2 11
 
13.6%
4 6
 
7.4%
5 6
 
7.4%
1 2
 
2.5%
6 2
 
2.5%
8 1
 
1.2%
20 1
 
1.2%
15 1
 
1.2%
3 1
 
1.2%
12 1
 
1.2%
Other values (2) 2
 
2.5%
(Missing) 47
58.0%
ValueCountFrequency (%)
1 2
 
2.5%
2 11
13.6%
3 1
 
1.2%
4 6
7.4%
5 6
7.4%
6 2
 
2.5%
8 1
 
1.2%
9 1
 
1.2%
12 1
 
1.2%
13 1
 
1.2%
ValueCountFrequency (%)
20 1
 
1.2%
15 1
 
1.2%
13 1
 
1.2%
12 1
 
1.2%
9 1
 
1.2%
8 1
 
1.2%
6 2
 
2.5%
5 6
7.4%
4 6
7.4%
3 1
 
1.2%

주변환경명
Categorical

Distinct6
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size780.0 B
<NA>
60 
기타
10 
주택가주변
 
5
아파트지역
 
4
학교정화(절대)
 
1

Length

Max length8
Median length4
Mean length3.962963
Min length2

Unique

Unique2 ?
Unique (%)2.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 60
74.1%
기타 10
 
12.3%
주택가주변 5
 
6.2%
아파트지역 4
 
4.9%
학교정화(절대) 1
 
1.2%
학교정화(상대) 1
 
1.2%

Length

2023-12-11T03:26:35.501675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:26:35.727885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 60
74.1%
기타 10
 
12.3%
주택가주변 5
 
6.2%
아파트지역 4
 
4.9%
학교정화(절대 1
 
1.2%
학교정화(상대 1
 
1.2%

제작취급품목내용
Text

Distinct50
Distinct (%)61.7%
Missing0
Missing (%)0.0%
Memory size780.0 B
2023-12-11T03:26:36.117332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length11
Mean length6.1358025
Min length2

Characters and Unicode

Total characters497
Distinct characters85
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)49.4%

Sample

1st row스마트폰게임, 웹게임
2nd row스마트폰게임, 웹게임
3rd row게임물
4th row게임물
5th row게임물,펀킥
ValueCountFrequency (%)
게임물 13
 
12.7%
게임 9
 
8.8%
모바일게임 5
 
4.9%
아케이드 5
 
4.9%
온라인게임 5
 
4.9%
아케이드게임 4
 
3.9%
온라인 3
 
2.9%
보드게임 3
 
2.9%
스마트폰게임 3
 
2.9%
모바일 2
 
2.0%
Other values (44) 50
49.0%
2023-12-11T03:26:36.769509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
임 70
 
14.1%
게 69
 
13.9%
21
 
4.2%
물 17
 
3.4%
라 17
 
3.4%
인 17
 
3.4%
온 17
 
3.4%
이 16
 
3.2%
드 16
 
3.2%
기 15
 
3.0%
Other values (75) 222
44.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 441
88.7%
Space Separator 21
 
4.2%
Uppercase Letter 12
 
2.4%
Other Punctuation 11
 
2.2%
Lowercase Letter 8
 
1.6%
Close Punctuation 2
 
0.4%
Open Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
임 70
15.9%
게 69
 
15.6%
물 17
 
3.9%
라 17
 
3.9%
인 17
 
3.9%
온 17
 
3.9%
이 16
 
3.6%
드 16
 
3.6%
기 15
 
3.4%
아 14
 
3.2%
Other values (61) 173
39.2%
Uppercase Letter
ValueCountFrequency (%)
C 3
25.0%
R 3
25.0%
V 3
25.0%
P 2
16.7%
D 1
 
8.3%
Lowercase Letter
ValueCountFrequency (%)
a 3
37.5%
i 2
25.0%
p 1
 
12.5%
l 1
 
12.5%
y 1
 
12.5%
Space Separator
ValueCountFrequency (%)
21
100.0%
Other Punctuation
ValueCountFrequency (%)
, 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 441
88.7%
Common 36
 
7.2%
Latin 20
 
4.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
임 70
15.9%
게 69
 
15.6%
물 17
 
3.9%
라 17
 
3.9%
인 17
 
3.9%
온 17
 
3.9%
이 16
 
3.6%
드 16
 
3.6%
기 15
 
3.4%
아 14
 
3.2%
Other values (61) 173
39.2%
Latin
ValueCountFrequency (%)
C 3
15.0%
R 3
15.0%
V 3
15.0%
a 3
15.0%
P 2
10.0%
i 2
10.0%
p 1
 
5.0%
l 1
 
5.0%
y 1
 
5.0%
D 1
 
5.0%
Common
ValueCountFrequency (%)
21
58.3%
, 11
30.6%
) 2
 
5.6%
( 2
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 441
88.7%
ASCII 56
 
11.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
임 70
15.9%
게 69
 
15.6%
물 17
 
3.9%
라 17
 
3.9%
인 17
 
3.9%
온 17
 
3.9%
이 16
 
3.6%
드 16
 
3.6%
기 15
 
3.4%
아 14
 
3.2%
Other values (61) 173
39.2%
ASCII
ValueCountFrequency (%)
21
37.5%
, 11
19.6%
C 3
 
5.4%
R 3
 
5.4%
V 3
 
5.4%
a 3
 
5.4%
P 2
 
3.6%
) 2
 
3.6%
( 2
 
3.6%
i 2
 
3.6%
Other values (4) 4
 
7.1%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct65
Distinct (%)90.3%
Missing9
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean93.446667
Minimum0
Maximum840.07
Zeros1
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size861.0 B
2023-12-11T03:26:37.053150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q126.3325
median51.205
Q3108.195
95-th percentile266.8195
Maximum840.07
Range840.07
Interquartile range (IQR)81.8625

Descriptive statistics

Standard deviation119.91699
Coefficient of variation (CV)1.2832666
Kurtosis20.663144
Mean93.446667
Median Absolute Deviation (MAD)38.53
Skewness3.7797463
Sum6728.16
Variance14380.084
MonotonicityNot monotonic
2023-12-11T03:26:37.311255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0 4
 
4.9%
33.0 3
 
3.7%
26.4 2
 
2.5%
30.0 2
 
2.5%
232.02 1
 
1.2%
156.29 1
 
1.2%
28.19 1
 
1.2%
310.63 1
 
1.2%
66.1 1
 
1.2%
100.0 1
 
1.2%
Other values (55) 55
67.9%
(Missing) 9
 
11.1%
ValueCountFrequency (%)
0.0 1
 
1.2%
1.0 4
4.9%
3.3 1
 
1.2%
8.0 1
 
1.2%
9.0 1
 
1.2%
12.0 1
 
1.2%
13.44 1
 
1.2%
14.4 1
 
1.2%
16.0 1
 
1.2%
17.36 1
 
1.2%
ValueCountFrequency (%)
840.07 1
1.2%
342.18 1
1.2%
310.63 1
1.2%
272.71 1
1.2%
262.0 1
1.2%
232.02 1
1.2%
214.58 1
1.2%
212.62 1
1.2%
207.0 1
1.2%
202.44 1
1.2%

지상층수
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)20.0%
Missing46
Missing (%)56.8%
Infinite0
Infinite (%)0.0%
Mean2.6857143
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size861.0 B
2023-12-11T03:26:37.520064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33.5
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation2.1388759
Coefficient of variation (CV)0.79638995
Kurtosis2.3518916
Mean2.6857143
Median Absolute Deviation (MAD)1
Skewness1.6601236
Sum94
Variance4.5747899
MonotonicityNot monotonic
2023-12-11T03:26:37.741219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 13
 
16.0%
2 9
 
11.1%
3 4
 
4.9%
4 4
 
4.9%
8 2
 
2.5%
5 2
 
2.5%
9 1
 
1.2%
(Missing) 46
56.8%
ValueCountFrequency (%)
1 13
16.0%
2 9
11.1%
3 4
 
4.9%
4 4
 
4.9%
5 2
 
2.5%
8 2
 
2.5%
9 1
 
1.2%
ValueCountFrequency (%)
9 1
 
1.2%
8 2
 
2.5%
5 2
 
2.5%
4 4
 
4.9%
3 4
 
4.9%
2 9
11.1%
1 13
16.0%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size780.0 B
<NA>
74 
1
 
7

Length

Max length4
Median length4
Mean length3.7407407
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> 74
91.4%
1 7
 
8.6%

Length

2023-12-11T03:26:37.990874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:26:38.201644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 74
91.4%
1 7
 
8.6%

건물용도명
Categorical

Distinct9
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size780.0 B
<NA>
53 
근린생활시설
13 
사무실
 
4
단독주택
 
4
교육연구시설
 
3
Other values (4)
 
4

Length

Max length15
Median length4
Mean length4.4691358
Min length2

Unique

Unique4 ?
Unique (%)4.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 53
65.4%
근린생활시설 13
 
16.0%
사무실 4
 
4.9%
단독주택 4
 
4.9%
교육연구시설 3
 
3.7%
판매시설 1
 
1.2%
다가구용 주택(공동주택적용) 1
 
1.2%
기타 1
 
1.2%
다세대주택 1
 
1.2%

Length

2023-12-11T03:26:38.404580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:26:38.617024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 53
64.6%
근린생활시설 13
 
15.9%
사무실 4
 
4.9%
단독주택 4
 
4.9%
교육연구시설 3
 
3.7%
판매시설 1
 
1.2%
다가구용 1
 
1.2%
주택(공동주택적용 1
 
1.2%
기타 1
 
1.2%
다세대주택 1
 
1.2%

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing81
Missing (%)100.0%
Memory size861.0 B

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing81
Missing (%)100.0%
Memory size861.0 B

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing81
Missing (%)100.0%
Memory size861.0 B

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing81
Missing (%)100.0%
Memory size861.0 B

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing81
Missing (%)100.0%
Memory size861.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing81
Missing (%)100.0%
Memory size861.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing81
Missing (%)100.0%
Memory size861.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing81
Missing (%)100.0%
Memory size861.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing81
Missing (%)100.0%
Memory size861.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing81
Missing (%)100.0%
Memory size861.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing81
Missing (%)100.0%
Memory size861.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing81
Missing (%)100.0%
Memory size861.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing81
Missing (%)100.0%
Memory size861.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing81
Missing (%)100.0%
Memory size861.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing81
Missing (%)100.0%
Memory size861.0 B

총게임기수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing81
Missing (%)100.0%
Memory size861.0 B

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing81
Missing (%)100.0%
Memory size861.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing81
Missing (%)100.0%
Memory size861.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing81
Missing (%)100.0%
Memory size861.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing81
Missing (%)100.0%
Memory size861.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing81
Missing (%)100.0%
Memory size861.0 B

지역구분명
Categorical

Distinct10
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Memory size780.0 B
<NA>
51 
일반주거지역
16 
일반상업지역
 
4
준주거지역
 
3
주거지역
 
2
Other values (5)
 
5

Length

Max length6
Median length4
Mean length4.617284
Min length4

Unique

Unique5 ?
Unique (%)6.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 51
63.0%
일반주거지역 16
 
19.8%
일반상업지역 4
 
4.9%
준주거지역 3
 
3.7%
주거지역 2
 
2.5%
상업지역 1
 
1.2%
중심상업지역 1
 
1.2%
준공업지역 1
 
1.2%
근린상업지역 1
 
1.2%
자연녹지지역 1
 
1.2%

Length

2023-12-11T03:26:38.881496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:26:39.130648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
63.0%
일반주거지역 16
 
19.8%
일반상업지역 4
 
4.9%
준주거지역 3
 
3.7%
주거지역 2
 
2.5%
상업지역 1
 
1.2%
중심상업지역 1
 
1.2%
준공업지역 1
 
1.2%
근린상업지역 1
 
1.2%
자연녹지지역 1
 
1.2%

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
01게임물배급업03_05_01_P3410000CDFF224112201600000220160504<NA>1영업/정상13영업중<NA><NA><NA><NA>070-8670-1959<NA><NA>대구광역시 중구 대봉동 152-80번지대구광역시 중구 이천로 184-10 (대봉동)41956주식회사 퍼니팩20160504101209I2018-08-31 23:59:59.0<NA>344380.339865263105.091214게임물배급업유통관련업2<NA>스마트폰게임, 웹게임26.4<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
12게임물배급업03_05_01_P3410000CDFF224112201600000120160504<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 대봉동 152-80번지 2층대구광역시 중구 이천로 184-10, 2층 (대봉동)41956주식회사 나우게임즈20180626175445I2018-08-31 23:59:59.0<NA>344380.339865263105.091214게임물배급업유통관련업<NA><NA>스마트폰게임, 웹게임26.42<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23게임물배급업03_05_01_P3410000CDFF224112200100000120011129<NA>1영업/정상13영업중<NA><NA><NA><NA>(053)217-5300<NA><NA>대구광역시 중구 동성로2가 88-25번지 교보생명빌딩 14층대구광역시 중구 국채보상로 586 (동성로2가,교보생명빌딩 14층)<NA>주식회사 코그20190412174430U2019-04-14 02:40:00.0<NA>343959.823762264529.39356게임물배급업유통관련업<NA><NA>게임물103.2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
34게임물배급업03_05_01_P3410000CDFF224112200200000120020216<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>700421대구광역시 중구 동인동1가 33-1번지 동인시티타운 2층대구광역시 중구 국채보상로131길 55 (동인동1가,동인시티타운 2층)<NA>(주)지오텍시스템20070808164038I2018-08-31 23:59:59.0<NA>344605.619674264770.297911게임물배급업유통관련업<NA><NA>게임물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
45게임물배급업03_05_01_P3410000CDFF224112200700000120071004<NA>1영업/정상13영업중<NA><NA><NA><NA>(053)591-9500<NA>700411대구광역시 중구 삼덕동1가 57번지 B동대구광역시 중구 동성로4길 38 (삼덕동1가,B동)<NA>(주)상아개발20071004101300I2018-08-31 23:59:59.0<NA>344343.282168264093.487414게임물배급업유통관련업<NA><NA>게임물,펀킥<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
56게임물배급업03_05_01_P3410000CDFF224112201200000120120227<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동2가 210-1번지 진석타워즈 내 창업센터대구광역시 중구 동덕로 115, 9층 322호 (삼덕동2가)41940(주)기뉴20140226111347I2018-08-31 23:59:59.0<NA>344686.259338263958.880864게임물배급업유통관련업<NA><NA>일반게임소프트웨어8.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
67게임물배급업03_05_01_P3410000CDFF224112200900000120090327<NA>3폐업3폐업20090323<NA><NA><NA><NA><NA>700423대구광역시 중구 동인동3가 36번지대구광역시 중구 동덕로38길 56 (동인동3가)<NA>세명전기통신20090327104332I2018-08-31 23:59:59.0<NA>345109.57412264622.295822게임물배급업유통관련업<NA><NA>게임물30.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
78게임물배급업03_05_01_P3410000CDFF224112200300000120030719<NA>3폐업3폐업20050912<NA><NA><NA>(053)421-1222<NA>700809대구광역시 중구 대봉동 20-5번지 2층대구광역시 중구 동덕로 68 (대봉동,2층)<NA>(주)신디벨리20070808165256I2018-08-31 23:59:59.0<NA>344816.160106263489.007601게임물배급업유통관련업<NA><NA>게임물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
89게임물배급업03_05_01_P3410000CDFF224112199900000219990618<NA>3폐업3폐업20070313<NA><NA><NA>(053)953-0780<NA>700170대구광역시 중구 완전동 1-26번지대구광역시 중구 교동길 106-14 (완전동)<NA>대명전자20070808170416I2018-08-31 23:59:59.0<NA>344428.931658264772.696292게임물배급업유통관련업<NA><NA>게임물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
910게임물배급업03_05_01_P3410000CDFF224112199900000119991208<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>700423대구광역시 중구 동인동3가 192-71번지대구광역시 중구 국채보상로143길 46 (동인동3가)<NA>이지AMUSE20070808163439I2018-08-31 23:59:59.0<NA>345227.764009264612.194927게임물배급업유통관련업<NA><NA>게임물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
7172게임물배급업03_05_01_P3470000CDFF224112201800000120180126<NA>1영업/정상13영업중<NA><NA><NA><NA>053 6553109<NA><NA>대구광역시 달서구 송현동 2003-18번지 중소기업성장지원센터대구광역시 달서구 중흥로 20, 중소기업성장지원센터 1층 (송현동)42818주식회사인솔엠앤티20180126172816I2018-08-31 23:59:59.0<NA>340460.334025260187.845624게임물배급업유통관련업5기타aiaiplay163.81<NA>교육연구시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
7273게임물배급업03_05_01_P3470000CDFF224112201900000120190501<NA>1영업/정상13영업중<NA><NA><NA><NA>0536568480<NA><NA>대구광역시 달서구 상인동 162-2번지 우리빌딩대구광역시 달서구 월배로 175, 우리빌딩 8층 801호 (상인동)42781주식회사우리소프트20190501163412I2019-05-03 02:20:36.0<NA>338451.426686258570.98584게임물배급업유통관련업13기타온라인교육프로그램88.58<NA>교육연구시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>근린상업지역
7374게임물배급업03_05_01_P3470000CDFF224112200800000120080616<NA>3폐업3폐업20180720<NA><NA><NA><NA><NA><NA>대구광역시 달서구 장기동 815-9번지 (1층)대구광역시 달서구 장기로57서길 18, 1층 (장기동)42691휴즈넷20180720141305I2018-08-31 23:59:59.0<NA>338003.522354261418.146608게임물배급업유통관련업<NA><NA>아케이드게임물29.14<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7475게임물배급업03_05_01_P3470000CDFF224112201500000220130213<NA>3폐업3폐업20160329<NA><NA><NA>053 2019994<NA><NA>대구광역시 달서구 본동 831번지대구광역시 달서구 송현로 205, 4층 402호 (본동, 대구공업대학)42734(주)에이오엠엔터테인먼트20160329142413I2018-08-31 23:59:59.0<NA>339360.500539260479.646796게임물배급업유통관련업<NA><NA>스마트폰게임17.36<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7576게임물배급업03_05_01_P3470000CDFF224112199900000119990623<NA>3폐업3폐업20090320<NA><NA><NA>582-7201<NA>704921대구광역시 달서구 신당동 1708-2번지대구광역시 달서구 계대동문로3길 59 (신당동)<NA>그린통상20090323153103I2018-08-31 23:59:59.0<NA>334875.549386263040.008104게임물배급업유통관련업<NA><NA>아케이드0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7677게임물배급업03_05_01_P3470000CDFF224112200000000120001108200707264취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA>588-7766<NA>704801대구광역시 달서구 대천동 672-3번지대구광역시 달서구 성서공단남로10길 40 (대천동)<NA>(주)디앤제이어뮤즈먼트20070726130836I2018-08-31 23:59:59.0<NA>335193.722935259549.788813게임물배급업유통관련업<NA><NA>아케이드<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7778게임물배급업03_05_01_P3470000CDFF224112201300000120130327<NA>4취소/말소/만료/정지/중지35직권말소20140808<NA><NA><NA><NA><NA><NA>대구광역시 달서구 이곡동 1213번지대구광역시 달서구 이곡서로 25, 115호 (이곡동)7049402u(투유)미디어20140808100535I2018-08-31 23:59:59.0<NA>335806.191873262543.472033게임물배급업유통관련업4<NA>온라인게임물107.661<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7879게임물배급업03_05_01_P3470000CDFF224112200800000220080819<NA>4취소/말소/만료/정지/중지35직권말소20110704<NA><NA><NA><NA><NA><NA>대구광역시 달서구 성당동 382-1번지대구광역시 달서구 야외음악당로8길 8 (성당동)<NA>낙원20110705101242I2018-08-31 23:59:59.0<NA>340270.575428261138.314676게임물배급업유통관련업<NA><NA>오락기46.2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7980게임물배급업03_05_01_P3480000CDFF224112201900000120180703<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 세천리 1702-6번지대구광역시 달성군 다사읍 세천남로 30, 3,4층42930주식회사파코웨어20190926112045I2019-09-27 02:22:37.0<NA>333415.217405264526.649705게임물배급업유통관련업5<NA>모바일,온라인게임48.962<NA>교육연구시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자연녹지지역
8081게임물배급업03_05_01_P3480000CDFF224112201000000120100419<NA>3폐업3폐업20141226<NA><NA><NA><NA><NA><NA>대구광역시 달성군 화원읍 천내리 45-5번지대구광역시 달성군 화원읍 비슬로523길 3-21<NA>우진통신20141226113613I2018-08-31 23:59:59.0<NA>335642.888399257161.284214게임물배급업유통관련업<NA><NA>퀴즈풀이101.4<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>