Overview

Dataset statistics

Number of variables59
Number of observations89
Missing cells2205
Missing cells (%)42.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory44.8 KiB
Average record size in memory515.4 B

Variable types

Numeric12
Categorical20
Text6
Unsupported21

Dataset

Description22년06월_6270000_대구광역시_03_05_01_P_게임물배급업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000093857&dataSetDetailId=DDI_0000093890&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
문화체육업종명 has constant value ""Constant
문화사업자구분명 has constant value ""Constant
인허가취소일자 is highly imbalanced (88.8%)Imbalance
상세영업상태코드 is highly imbalanced (50.3%)Imbalance
상세영업상태명 is highly imbalanced (50.3%)Imbalance
데이터갱신일자 is highly imbalanced (56.5%)Imbalance
주변환경명 is highly imbalanced (52.4%)Imbalance
지하층수 is highly imbalanced (50.5%)Imbalance
통로너비 is highly imbalanced (60.3%)Imbalance
조명시설조도 is highly imbalanced (60.3%)Imbalance
노래방실수 is highly imbalanced (60.3%)Imbalance
청소년실수 is highly imbalanced (60.3%)Imbalance
총게임기수 is highly imbalanced (60.3%)Imbalance
폐업일자 has 65 (73.0%) missing valuesMissing
휴업시작일자 has 89 (100.0%) missing valuesMissing
휴업종료일자 has 89 (100.0%) missing valuesMissing
재개업일자 has 89 (100.0%) missing valuesMissing
소재지전화 has 58 (65.2%) missing valuesMissing
소재지면적 has 89 (100.0%) missing valuesMissing
소재지우편번호 has 76 (85.4%) missing valuesMissing
도로명전체주소 has 1 (1.1%) missing valuesMissing
도로명우편번호 has 27 (30.3%) missing valuesMissing
업태구분명 has 89 (100.0%) missing valuesMissing
좌표정보(X) has 2 (2.2%) missing valuesMissing
좌표정보(Y) has 2 (2.2%) missing valuesMissing
총층수 has 49 (55.1%) missing valuesMissing
시설면적 has 9 (10.1%) missing valuesMissing
지상층수 has 47 (52.8%) missing valuesMissing
비상계단여부 has 89 (100.0%) missing valuesMissing
비상구여부 has 89 (100.0%) missing valuesMissing
자동환기여부 has 89 (100.0%) missing valuesMissing
청소년실여부 has 89 (100.0%) missing valuesMissing
특수조명여부 has 89 (100.0%) missing valuesMissing
방음시설여부 has 89 (100.0%) missing valuesMissing
비디오재생기명 has 89 (100.0%) missing valuesMissing
조명시설유무 has 89 (100.0%) missing valuesMissing
음향시설여부 has 89 (100.0%) missing valuesMissing
편의시설여부 has 89 (100.0%) missing valuesMissing
소방시설여부 has 89 (100.0%) missing valuesMissing
기존게임업외업종명 has 89 (100.0%) missing valuesMissing
제공게임물명 has 89 (100.0%) missing valuesMissing
공연장형태구분명 has 89 (100.0%) missing valuesMissing
품목명 has 89 (100.0%) missing valuesMissing
최초등록시점 has 89 (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
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
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
총층수 has 4 (4.5%) zerosZeros
시설면적 has 1 (1.1%) zerosZeros
지상층수 has 4 (4.5%) zerosZeros

Reproduction

Analysis started2024-04-20 17:26:35.519234
Analysis finished2024-04-20 17:26:36.625466
Duration1.11 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct89
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45
Minimum1
Maximum89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size929.0 B
2024-04-21T02:26:36.821551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.4
Q123
median45
Q367
95-th percentile84.6
Maximum89
Range88
Interquartile range (IQR)44

Descriptive statistics

Standard deviation25.836021
Coefficient of variation (CV)0.57413381
Kurtosis-1.2
Mean45
Median Absolute Deviation (MAD)22
Skewness0
Sum4005
Variance667.5
MonotonicityStrictly increasing
2024-04-21T02:26:37.240240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
68 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
63 1
 
1.1%
62 1
 
1.1%
61 1
 
1.1%
60 1
 
1.1%
59 1
 
1.1%
Other values (79) 79
88.8%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
89 1
1.1%
88 1
1.1%
87 1
1.1%
86 1
1.1%
85 1
1.1%
84 1
1.1%
83 1
1.1%
82 1
1.1%
81 1
1.1%
80 1
1.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size840.0 B
게임물배급업
89 

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 89
100.0%

Length

2024-04-21T02:26:37.631537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:26:37.937373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
게임물배급업 89
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size840.0 B
03_05_01_P
89 

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 89
100.0%

Length

2024-04-21T02:26:38.253958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:26:38.561110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_05_01_p 89
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3444606.7
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size929.0 B
2024-04-21T02:26:38.844856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13430000
median3450000
Q33460000
95-th percentile3470000
Maximum3480000
Range70000
Interquartile range (IQR)30000

Descriptive statistics

Standard deviation19946.302
Coefficient of variation (CV)0.005790589
Kurtosis-1.003803
Mean3444606.7
Median Absolute Deviation (MAD)10000
Skewness-0.3011261
Sum3.0657 × 108
Variance3.9785495 × 108
MonotonicityIncreasing
2024-04-21T02:26:39.214803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3440000 19
21.3%
3460000 18
20.2%
3420000 13
14.6%
3450000 13
14.6%
3470000 13
14.6%
3410000 9
10.1%
3430000 2
 
2.2%
3480000 2
 
2.2%
ValueCountFrequency (%)
3410000 9
10.1%
3420000 13
14.6%
3430000 2
 
2.2%
3440000 19
21.3%
3450000 13
14.6%
3460000 18
20.2%
3470000 13
14.6%
3480000 2
 
2.2%
ValueCountFrequency (%)
3480000 2
 
2.2%
3470000 13
14.6%
3460000 18
20.2%
3450000 13
14.6%
3440000 19
21.3%
3430000 2
 
2.2%
3420000 13
14.6%
3410000 9
10.1%

관리번호
Text

Distinct47
Distinct (%)52.8%
Missing0
Missing (%)0.0%
Memory size840.0 B
2024-04-21T02:26:39.991271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1780
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

Unique21 ?
Unique (%)23.6%

Sample

1st rowCDFF2241121999000001
2nd rowCDFF2241121999000002
3rd rowCDFF2241122001000001
4th rowCDFF2241122002000001
5th rowCDFF2241122021000001
ValueCountFrequency (%)
cdff2241122011000001 5
 
5.6%
cdff2241122019000001 4
 
4.5%
cdff2241122014000001 4
 
4.5%
cdff2241122008000001 4
 
4.5%
cdff2241122010000001 4
 
4.5%
cdff2241122015000001 4
 
4.5%
cdff2241122012000001 3
 
3.4%
cdff2241122020000001 3
 
3.4%
cdff2241122022000001 3
 
3.4%
cdff2241122017000002 2
 
2.2%
Other values (37) 53
59.6%
2024-04-21T02:26:40.892812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 564
31.7%
2 398
22.4%
1 306
17.2%
F 178
 
10.0%
4 98
 
5.5%
C 89
 
5.0%
D 89
 
5.0%
9 15
 
0.8%
3 14
 
0.8%
8 11
 
0.6%
Other values (3) 18
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1424
80.0%
Uppercase Letter 356
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 564
39.6%
2 398
27.9%
1 306
21.5%
4 98
 
6.9%
9 15
 
1.1%
3 14
 
1.0%
8 11
 
0.8%
7 9
 
0.6%
5 5
 
0.4%
6 4
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
F 178
50.0%
C 89
25.0%
D 89
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1424
80.0%
Latin 356
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 564
39.6%
2 398
27.9%
1 306
21.5%
4 98
 
6.9%
9 15
 
1.1%
3 14
 
1.0%
8 11
 
0.8%
7 9
 
0.6%
5 5
 
0.4%
6 4
 
0.3%
Latin
ValueCountFrequency (%)
F 178
50.0%
C 89
25.0%
D 89
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1780
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 564
31.7%
2 398
22.4%
1 306
17.2%
F 178
 
10.0%
4 98
 
5.5%
C 89
 
5.0%
D 89
 
5.0%
9 15
 
0.8%
3 14
 
0.8%
8 11
 
0.6%
Other values (3) 18
 
1.0%

인허가일자
Real number (ℝ)

Distinct84
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20121918
Minimum19990618
Maximum20220518
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size929.0 B
2024-04-21T02:26:41.311824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19990618
5-th percentile20005116
Q120090520
median20121102
Q320161017
95-th percentile20210909
Maximum20220518
Range229900
Interquartile range (IQR)70497

Descriptive statistics

Standard deviation56882.77
Coefficient of variation (CV)0.0028269059
Kurtosis-0.043186365
Mean20121918
Median Absolute Deviation (MAD)39915
Skewness-0.44042169
Sum1.7908507 × 109
Variance3.2356495 × 109
MonotonicityNot monotonic
2024-04-21T02:26:41.742571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20131024 3
 
3.4%
20011129 2
 
2.2%
20211111 2
 
2.2%
20160504 2
 
2.2%
19991208 1
 
1.1%
20081120 1
 
1.1%
20110615 1
 
1.1%
20110405 1
 
1.1%
20110124 1
 
1.1%
20100927 1
 
1.1%
Other values (74) 74
83.1%
ValueCountFrequency (%)
19990618 1
1.1%
19990623 1
1.1%
19991208 1
1.1%
20000807 1
1.1%
20001108 1
1.1%
20011129 2
2.2%
20020216 1
1.1%
20030719 1
1.1%
20060321 1
1.1%
20060425 1
1.1%
ValueCountFrequency (%)
20220518 1
1.1%
20220422 1
1.1%
20220216 1
1.1%
20211111 2
2.2%
20210607 1
1.1%
20210309 1
1.1%
20200605 1
1.1%
20200529 1
1.1%
20200504 1
1.1%
20190501 1
1.1%

인허가취소일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size840.0 B
<NA>
87 
20110302
 
1
20070726
 
1

Length

Max length8
Median length4
Mean length4.0898876
Min length4

Unique

Unique2 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 87
97.8%
20110302 1
 
1.1%
20070726 1
 
1.1%

Length

2024-04-21T02:26:42.180470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:26:42.394835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 87
97.8%
20110302 1
 
1.1%
20070726 1
 
1.1%

영업상태구분코드
Categorical

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size840.0 B
1
63 
3
21 
4
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row3
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 63
70.8%
3 21
 
23.6%
4 5
 
5.6%

Length

2024-04-21T02:26:42.575480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:26:42.748468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 63
70.8%
3 21
 
23.6%
4 5
 
5.6%

영업상태명
Categorical

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size840.0 B
영업/정상
63 
폐업
21 
취소/말소/만료/정지/중지
 
5

Length

Max length14
Median length5
Mean length4.7977528
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 63
70.8%
폐업 21
 
23.6%
취소/말소/만료/정지/중지 5
 
5.6%

Length

2024-04-21T02:26:42.947776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:26:43.130809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 63
70.8%
폐업 21
 
23.6%
취소/말소/만료/정지/중지 5
 
5.6%

상세영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size840.0 B
13
63 
3
21 
35
 
3
31
 
1
30
 
1

Length

Max length2
Median length2
Mean length1.7640449
Min length1

Unique

Unique2 ?
Unique (%)2.2%

Sample

1st row13
2nd row3
3rd row13
4th row13
5th row13

Common Values

ValueCountFrequency (%)
13 63
70.8%
3 21
 
23.6%
35 3
 
3.4%
31 1
 
1.1%
30 1
 
1.1%

Length

2024-04-21T02:26:43.332309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:26:43.556293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 63
70.8%
3 21
 
23.6%
35 3
 
3.4%
31 1
 
1.1%
30 1
 
1.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size840.0 B
영업중
63 
폐업
21 
직권말소
 
3
등록취소
 
1
허가취소
 
1

Length

Max length4
Median length3
Mean length2.8202247
Min length2

Unique

Unique2 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 63
70.8%
폐업 21
 
23.6%
직권말소 3
 
3.4%
등록취소 1
 
1.1%
허가취소 1
 
1.1%

Length

2024-04-21T02:26:43.781108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:26:43.992655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 63
70.8%
폐업 21
 
23.6%
직권말소 3
 
3.4%
등록취소 1
 
1.1%
허가취소 1
 
1.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)100.0%
Missing65
Missing (%)73.0%
Infinite0
Infinite (%)0.0%
Mean20132368
Minimum20050912
Maximum20211029
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size929.0 B
2024-04-21T02:26:44.187283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20050912
5-th percentile20070372
Q120101204
median20130424
Q320160528
95-th percentile20208940
Maximum20211029
Range160117
Interquartile range (IQR)59323.5

Descriptive statistics

Standard deviation45262.539
Coefficient of variation (CV)0.0022482471
Kurtosis-0.70862642
Mean20132368
Median Absolute Deviation (MAD)29603
Skewness0.17496156
Sum4.8317684 × 108
Variance2.0486975 × 109
MonotonicityNot monotonic
2024-04-21T02:26:44.414493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
20101231 1
 
1.1%
20141226 1
 
1.1%
20140808 1
 
1.1%
20160329 1
 
1.1%
20110704 1
 
1.1%
20180720 1
 
1.1%
20090320 1
 
1.1%
20191216 1
 
1.1%
20150827 1
 
1.1%
20120131 1
 
1.1%
Other values (14) 14
 
15.7%
(Missing) 65
73.0%
ValueCountFrequency (%)
20050912 1
1.1%
20070313 1
1.1%
20070703 1
1.1%
20080418 1
1.1%
20090320 1
1.1%
20101123 1
1.1%
20101231 1
1.1%
20110210 1
1.1%
20110704 1
1.1%
20120131 1
1.1%
ValueCountFrequency (%)
20211029 1
1.1%
20210305 1
1.1%
20201204 1
1.1%
20191216 1
1.1%
20180720 1
1.1%
20161123 1
1.1%
20160329 1
1.1%
20150827 1
1.1%
20141226 1
1.1%
20140808 1
1.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing89
Missing (%)100.0%
Memory size929.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing89
Missing (%)100.0%
Memory size929.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing89
Missing (%)100.0%
Memory size929.0 B

소재지전화
Text

MISSING 

Distinct31
Distinct (%)100.0%
Missing58
Missing (%)65.2%
Memory size840.0 B
2024-04-21T02:26:45.193033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.709677
Min length8

Characters and Unicode

Total characters332
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

Unique31 ?
Unique (%)100.0%

Sample

1st row(053)953-0780
2nd row(053)217-5300
3rd row(053)591-9500
4th row(053)421-1222
5th row0539628605
ValueCountFrequency (%)
053)953-0780 1
 
3.1%
053)217-5300 1
 
3.1%
2019994 1
 
3.1%
053 1
 
3.1%
588-7766 1
 
3.1%
582-7201 1
 
3.1%
053-784-3576 1
 
3.1%
053-752-0456 1
 
3.1%
070-8813-8441 1
 
3.1%
053-753-2729 1
 
3.1%
Other values (22) 22
68.8%
2024-04-21T02:26:46.085881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 47
14.2%
5 46
13.9%
3 38
11.4%
- 37
11.1%
7 34
10.2%
1 29
8.7%
6 29
8.7%
2 22
6.6%
8 15
 
4.5%
9 13
 
3.9%
Other values (4) 22
6.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 286
86.1%
Dash Punctuation 37
 
11.1%
Open Punctuation 4
 
1.2%
Close Punctuation 4
 
1.2%
Space Separator 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 47
16.4%
5 46
16.1%
3 38
13.3%
7 34
11.9%
1 29
10.1%
6 29
10.1%
2 22
7.7%
8 15
 
5.2%
9 13
 
4.5%
4 13
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 332
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 47
14.2%
5 46
13.9%
3 38
11.4%
- 37
11.1%
7 34
10.2%
1 29
8.7%
6 29
8.7%
2 22
6.6%
8 15
 
4.5%
9 13
 
3.9%
Other values (4) 22
6.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 332
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 47
14.2%
5 46
13.9%
3 38
11.4%
- 37
11.1%
7 34
10.2%
1 29
8.7%
6 29
8.7%
2 22
6.6%
8 15
 
4.5%
9 13
 
3.9%
Other values (4) 22
6.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing89
Missing (%)100.0%
Memory size929.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)100.0%
Missing76
Missing (%)85.4%
Infinite0
Infinite (%)0.0%
Mean703940.69
Minimum700170
Maximum706840
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size929.0 B
2024-04-21T02:26:46.291031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700170
5-th percentile700314.6
Q1700423
median704921
Q3706801
95-th percentile706829.8
Maximum706840
Range6670
Interquartile range (IQR)6378

Descriptive statistics

Standard deviation2952.8968
Coefficient of variation (CV)0.004194809
Kurtosis-1.9791799
Mean703940.69
Median Absolute Deviation (MAD)1902
Skewness-0.38452421
Sum9151229
Variance8719599.2
MonotonicityNot monotonic
2024-04-21T02:26:46.483450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
700423 1
 
1.1%
700170 1
 
1.1%
700421 1
 
1.1%
700411 1
 
1.1%
700809 1
 
1.1%
705817 1
 
1.1%
706801 1
 
1.1%
706823 1
 
1.1%
706170 1
 
1.1%
706822 1
 
1.1%
Other values (3) 3
 
3.4%
(Missing) 76
85.4%
ValueCountFrequency (%)
700170 1
1.1%
700411 1
1.1%
700421 1
1.1%
700423 1
1.1%
700809 1
1.1%
704801 1
1.1%
704921 1
1.1%
705817 1
1.1%
706170 1
1.1%
706801 1
1.1%
ValueCountFrequency (%)
706840 1
1.1%
706823 1
1.1%
706822 1
1.1%
706801 1
1.1%
706170 1
1.1%
705817 1
1.1%
704921 1
1.1%
704801 1
1.1%
700809 1
1.1%
700423 1
1.1%

소재지전체주소
Text

Distinct82
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Memory size840.0 B
2024-04-21T02:26:47.271596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length37
Mean length26.258427
Min length16

Characters and Unicode

Total characters2337
Distinct characters150
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

Unique75 ?
Unique (%)84.3%

Sample

1st row대구광역시 중구 동인동*가 ***-**번지
2nd row대구광역시 중구 완전동 *-**번지
3rd row대구광역시 중구 동성로*가 **-**번지 교보생명빌딩 **층
4th row대구광역시 중구 동인동*가 **-*번지 동인시티타운 *층
5th row대구광역시 중구 대봉동 **-*
ValueCountFrequency (%)
대구광역시 89
20.1%
번지 74
16.7%
호 22
 
5.0%
남구 19
 
4.3%
수성구 18
 
4.1%
17
 
3.8%
대명동 14
 
3.2%
달서구 13
 
2.9%
동구 13
 
2.9%
북구 13
 
2.9%
Other values (84) 151
34.1%
2024-04-21T02:26:48.494259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 476
20.4%
429
18.4%
구 186
 
8.0%
대 121
 
5.2%
동 111
 
4.7%
시 92
 
3.9%
역 91
 
3.9%
광 90
 
3.9%
지 84
 
3.6%
번 74
 
3.2%
Other values (140) 583
24.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1349
57.7%
Other Punctuation 476
 
20.4%
Space Separator 429
 
18.4%
Dash Punctuation 69
 
3.0%
Close Punctuation 5
 
0.2%
Open Punctuation 5
 
0.2%
Uppercase Letter 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 186
13.8%
대 121
 
9.0%
동 111
 
8.2%
시 92
 
6.8%
역 91
 
6.7%
광 90
 
6.7%
지 84
 
6.2%
번 74
 
5.5%
성 27
 
2.0%
호 23
 
1.7%
Other values (131) 450
33.4%
Uppercase Letter
ValueCountFrequency (%)
L 1
25.0%
D 1
25.0%
B 1
25.0%
H 1
25.0%
Other Punctuation
ValueCountFrequency (%)
* 476
100.0%
Space Separator
ValueCountFrequency (%)
429
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 69
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1349
57.7%
Common 984
42.1%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 186
13.8%
대 121
 
9.0%
동 111
 
8.2%
시 92
 
6.8%
역 91
 
6.7%
광 90
 
6.7%
지 84
 
6.2%
번 74
 
5.5%
성 27
 
2.0%
호 23
 
1.7%
Other values (131) 450
33.4%
Common
ValueCountFrequency (%)
* 476
48.4%
429
43.6%
- 69
 
7.0%
) 5
 
0.5%
( 5
 
0.5%
Latin
ValueCountFrequency (%)
L 1
25.0%
D 1
25.0%
B 1
25.0%
H 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1349
57.7%
ASCII 988
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 476
48.2%
429
43.4%
- 69
 
7.0%
) 5
 
0.5%
( 5
 
0.5%
L 1
 
0.1%
D 1
 
0.1%
B 1
 
0.1%
H 1
 
0.1%
Hangul
ValueCountFrequency (%)
구 186
13.8%
대 121
 
9.0%
동 111
 
8.2%
시 92
 
6.8%
역 91
 
6.7%
광 90
 
6.7%
지 84
 
6.2%
번 74
 
5.5%
성 27
 
2.0%
호 23
 
1.7%
Other values (131) 450
33.4%

도로명전체주소
Text

MISSING 

Distinct83
Distinct (%)94.3%
Missing1
Missing (%)1.1%
Memory size840.0 B
2024-04-21T02:26:49.591330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length43.5
Mean length33.409091
Min length21

Characters and Unicode

Total characters2940
Distinct characters185
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 (%)89.8%

Sample

1st row대구광역시 중구 국채보상로***길 ** (동인동*가)
2nd row대구광역시 중구 교동길 ***-** (완전동)
3rd row대구광역시 중구 국채보상로 *** (동성로*가,교보생명빌딩 **층)
4th row대구광역시 중구 국채보상로***길 ** (동인동*가,동인시티타운 *층)
5th row대구광역시 중구 동덕로 **-**, *,*층 (대봉동)
ValueCountFrequency (%)
90
 
16.0%
대구광역시 88
 
15.6%
호 38
 
6.7%
층 31
 
5.5%
남구 19
 
3.4%
수성구 17
 
3.0%
동구 13
 
2.3%
달서구 13
 
2.3%
북구 13
 
2.3%
대명동 12
 
2.1%
Other values (151) 230
40.8%
2024-04-21T02:26:51.070451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
500
17.0%
* 492
16.7%
구 198
 
6.7%
대 143
 
4.9%
동 133
 
4.5%
, 93
 
3.2%
시 92
 
3.1%
광 91
 
3.1%
역 90
 
3.1%
) 88
 
3.0%
Other values (175) 1020
34.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1658
56.4%
Other Punctuation 585
 
19.9%
Space Separator 500
 
17.0%
Close Punctuation 88
 
3.0%
Open Punctuation 88
 
3.0%
Dash Punctuation 15
 
0.5%
Uppercase Letter 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 198
 
11.9%
대 143
 
8.6%
동 133
 
8.0%
시 92
 
5.5%
광 91
 
5.5%
역 90
 
5.4%
로 85
 
5.1%
호 45
 
2.7%
길 39
 
2.4%
층 37
 
2.2%
Other values (163) 705
42.5%
Uppercase Letter
ValueCountFrequency (%)
T 1
16.7%
I 1
16.7%
H 1
16.7%
L 1
16.7%
D 1
16.7%
B 1
16.7%
Other Punctuation
ValueCountFrequency (%)
* 492
84.1%
, 93
 
15.9%
Space Separator
ValueCountFrequency (%)
500
100.0%
Close Punctuation
ValueCountFrequency (%)
) 88
100.0%
Open Punctuation
ValueCountFrequency (%)
( 88
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1658
56.4%
Common 1276
43.4%
Latin 6
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 198
 
11.9%
대 143
 
8.6%
동 133
 
8.0%
시 92
 
5.5%
광 91
 
5.5%
역 90
 
5.4%
로 85
 
5.1%
호 45
 
2.7%
길 39
 
2.4%
층 37
 
2.2%
Other values (163) 705
42.5%
Common
ValueCountFrequency (%)
500
39.2%
* 492
38.6%
, 93
 
7.3%
) 88
 
6.9%
( 88
 
6.9%
- 15
 
1.2%
Latin
ValueCountFrequency (%)
T 1
16.7%
I 1
16.7%
H 1
16.7%
L 1
16.7%
D 1
16.7%
B 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1658
56.4%
ASCII 1282
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
500
39.0%
* 492
38.4%
, 93
 
7.3%
) 88
 
6.9%
( 88
 
6.9%
- 15
 
1.2%
T 1
 
0.1%
I 1
 
0.1%
H 1
 
0.1%
L 1
 
0.1%
Other values (2) 2
 
0.2%
Hangul
ValueCountFrequency (%)
구 198
 
11.9%
대 143
 
8.6%
동 133
 
8.0%
시 92
 
5.5%
광 91
 
5.5%
역 90
 
5.4%
로 85
 
5.1%
호 45
 
2.7%
길 39
 
2.4%
층 37
 
2.2%
Other values (163) 705
42.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct49
Distinct (%)79.0%
Missing27
Missing (%)30.3%
Infinite0
Infinite (%)0.0%
Mean84753.387
Minimum41108
Maximum705831
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size929.0 B
2024-04-21T02:26:51.307841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41108
5-th percentile41169.1
Q141508.25
median42164
Q342460.25
95-th percentile669869.2
Maximum705831
Range664723
Interquartile range (IQR)952

Descriptive statistics

Standard deviation164179.45
Coefficient of variation (CV)1.9371432
Kurtosis11.576889
Mean84753.387
Median Absolute Deviation (MAD)570.5
Skewness3.6337368
Sum5254710
Variance2.6954891 × 1010
MonotonicityNot monotonic
2024-04-21T02:26:51.551872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
42403 7
 
7.9%
41260 4
 
4.5%
41585 2
 
2.2%
41125 2
 
2.2%
41256 2
 
2.2%
41243 2
 
2.2%
42691 1
 
1.1%
41518 1
 
1.1%
41566 1
 
1.1%
42176 1
 
1.1%
Other values (39) 39
43.8%
(Missing) 27
30.3%
ValueCountFrequency (%)
41108 1
 
1.1%
41125 2
2.2%
41167 1
 
1.1%
41209 1
 
1.1%
41243 2
2.2%
41256 2
2.2%
41260 4
4.5%
41450 1
 
1.1%
41503 1
 
1.1%
41505 1
 
1.1%
ValueCountFrequency (%)
705831 1
1.1%
705816 1
1.1%
704940 1
1.1%
702866 1
1.1%
42930 1
1.1%
42781 1
1.1%
42764 1
1.1%
42756 1
1.1%
42734 1
1.1%
42718 1
1.1%

사업장명
Text

Distinct86
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size840.0 B
2024-04-21T02:26:52.292814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length7.011236
Min length2

Characters and Unicode

Total characters624
Distinct characters171
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

Unique84 ?
Unique (%)94.4%

Sample

1st row이지AMUSE
2nd row대명전자
3rd row주식회사 코그
4th row(주)지오텍시스템
5th row주식회사 원블레이즈
ValueCountFrequency (%)
주식회사 10
 
9.4%
다모아 3
 
2.8%
휴즈넷 2
 
1.9%
게임아시아 2
 
1.9%
소프트 1
 
0.9%
주)트론트 1
 
0.9%
다낸다전자 1
 
0.9%
태성미디어 1
 
0.9%
두산전자 1
 
0.9%
세븐pc 1
 
0.9%
Other values (83) 83
78.3%
2024-04-21T02:26:53.255298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 43
 
6.9%
( 33
 
5.3%
) 33
 
5.3%
이 22
 
3.5%
트 19
 
3.0%
스 18
 
2.9%
17
 
2.7%
사 16
 
2.6%
식 14
 
2.2%
프 14
 
2.2%
Other values (161) 395
63.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 520
83.3%
Open Punctuation 33
 
5.3%
Close Punctuation 33
 
5.3%
Space Separator 17
 
2.7%
Uppercase Letter 16
 
2.6%
Decimal Number 4
 
0.6%
Lowercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 43
 
8.3%
이 22
 
4.2%
트 19
 
3.7%
스 18
 
3.5%
사 16
 
3.1%
식 14
 
2.7%
프 14
 
2.7%
회 13
 
2.5%
아 12
 
2.3%
지 11
 
2.1%
Other values (141) 338
65.0%
Uppercase Letter
ValueCountFrequency (%)
S 2
12.5%
O 2
12.5%
C 2
12.5%
D 1
 
6.2%
G 1
 
6.2%
Y 1
 
6.2%
P 1
 
6.2%
V 1
 
6.2%
E 1
 
6.2%
U 1
 
6.2%
Other values (3) 3
18.8%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
4 1
25.0%
1 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Space Separator
ValueCountFrequency (%)
17
100.0%
Lowercase Letter
ValueCountFrequency (%)
u 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 520
83.3%
Common 87
 
13.9%
Latin 17
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 43
 
8.3%
이 22
 
4.2%
트 19
 
3.7%
스 18
 
3.5%
사 16
 
3.1%
식 14
 
2.7%
프 14
 
2.7%
회 13
 
2.5%
아 12
 
2.3%
지 11
 
2.1%
Other values (141) 338
65.0%
Latin
ValueCountFrequency (%)
S 2
11.8%
O 2
11.8%
C 2
11.8%
D 1
 
5.9%
G 1
 
5.9%
Y 1
 
5.9%
u 1
 
5.9%
P 1
 
5.9%
V 1
 
5.9%
E 1
 
5.9%
Other values (4) 4
23.5%
Common
ValueCountFrequency (%)
( 33
37.9%
) 33
37.9%
17
19.5%
2 2
 
2.3%
4 1
 
1.1%
1 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 520
83.3%
ASCII 104
 
16.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 43
 
8.3%
이 22
 
4.2%
트 19
 
3.7%
스 18
 
3.5%
사 16
 
3.1%
식 14
 
2.7%
프 14
 
2.7%
회 13
 
2.5%
아 12
 
2.3%
지 11
 
2.1%
Other values (141) 338
65.0%
ASCII
ValueCountFrequency (%)
( 33
31.7%
) 33
31.7%
17
16.3%
S 2
 
1.9%
O 2
 
1.9%
C 2
 
1.9%
2 2
 
1.9%
D 1
 
1.0%
G 1
 
1.0%
4 1
 
1.0%
Other values (10) 10
 
9.6%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct89
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0146701 × 1013
Minimum2.0070703 × 1013
Maximum2.0220518 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size929.0 B
2024-04-21T02:26:53.490484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0070703 × 1013
5-th percentile2.0070808 × 1013
Q12.0110705 × 1013
median2.0141125 × 1013
Q32.0190412 × 1013
95-th percentile2.0220217 × 1013
Maximum2.0220518 × 1013
Range1.4981498 × 1011
Interquartile range (IQR)7.9707073 × 1010

Descriptive statistics

Standard deviation4.5286609 × 1010
Coefficient of variation (CV)0.0022478424
Kurtosis-1.0166395
Mean2.0146701 × 1013
Median Absolute Deviation (MAD)3.0915015 × 1010
Skewness0.0085515658
Sum1.7930564 × 1015
Variance2.0508769 × 1021
MonotonicityNot monotonic
2024-04-21T02:26:53.745041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20070808163439 1
 
1.1%
20110615093954 1
 
1.1%
20120131093648 1
 
1.1%
20110210150540 1
 
1.1%
20100409172547 1
 
1.1%
20090826155216 1
 
1.1%
20090520170630 1
 
1.1%
20110103114204 1
 
1.1%
20080827105508 1
 
1.1%
20080429165137 1
 
1.1%
Other values (79) 79
88.8%
ValueCountFrequency (%)
20070703163137 1
1.1%
20070726130836 1
1.1%
20070808163439 1
1.1%
20070808164038 1
1.1%
20070808165256 1
1.1%
20070808170416 1
1.1%
20071004101300 1
1.1%
20080129170130 1
1.1%
20080411094347 1
1.1%
20080429165137 1
1.1%
ValueCountFrequency (%)
20220518142041 1
1.1%
20220513115242 1
1.1%
20220422103703 1
1.1%
20220415125032 1
1.1%
20220217124746 1
1.1%
20220216163341 1
1.1%
20211206103022 1
1.1%
20211029112431 1
1.1%
20210608085932 1
1.1%
20210503112551 1
1.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size840.0 B
I
77 
U
12 

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
86.5%
U 12
 
13.5%

Length

2024-04-21T02:26:53.980206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:26:54.152893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 77
86.5%
u 12
 
13.5%

데이터갱신일자
Categorical

IMBALANCE 

Distinct24
Distinct (%)27.0%
Missing0
Missing (%)0.0%
Memory size840.0 B
2018-08-31 23:59:59.0
66 
2019-04-14 02:40:00.0
 
1
2021-06-09 00:22:55.0
 
1
2020-05-06 00:23:19.0
 
1
2022-02-19 02:40:00.0
 
1
Other values (19)
19 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique23 ?
Unique (%)25.8%

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 row2021-06-09 00:22:55.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 66
74.2%
2019-04-14 02:40:00.0 1
 
1.1%
2021-06-09 00:22:55.0 1
 
1.1%
2020-05-06 00:23:19.0 1
 
1.1%
2022-02-19 02:40:00.0 1
 
1.1%
2021-03-07 02:40:00.0 1
 
1.1%
2021-01-27 02:40:00.0 1
 
1.1%
2020-07-26 02:40:00.0 1
 
1.1%
2021-10-31 02:40:00.0 1
 
1.1%
2021-03-13 00:23:00.0 1
 
1.1%
Other values (14) 14
 
15.7%

Length

2024-04-21T02:26:54.328472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 66
37.1%
23:59:59.0 66
37.1%
02:40:00.0 12
 
6.7%
00:22:33.0 2
 
1.1%
2019-09-27 1
 
0.6%
2019-05-04 1
 
0.6%
2022-04-24 1
 
0.6%
2019-06-27 1
 
0.6%
2020-06-07 1
 
0.6%
00:23:18.0 1
 
0.6%
Other values (26) 26
 
14.6%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing89
Missing (%)100.0%
Memory size929.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct76
Distinct (%)87.4%
Missing2
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean343818.5
Minimum333415.22
Maximum354755.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size929.0 B
2024-04-21T02:26:54.547299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum333415.22
5-th percentile335328.47
Q1342632.84
median344399.18
Q3346261.34
95-th percentile348828.73
Maximum354755.03
Range21339.816
Interquartile range (IQR)3628.4935

Descriptive statistics

Standard deviation4199.6244
Coefficient of variation (CV)0.012214655
Kurtosis0.885369
Mean343818.5
Median Absolute Deviation (MAD)1766.3353
Skewness-0.25772063
Sum29912209
Variance17636845
MonotonicityNot monotonic
2024-04-21T02:26:54.790373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
342632.844135 4
 
4.5%
342774.766132 3
 
3.4%
353862.969131 2
 
2.2%
343318.955676 2
 
2.2%
345435.631983 2
 
2.2%
345641.188638 2
 
2.2%
346969.129572 2
 
2.2%
346677.868181 2
 
2.2%
337678.732425 1
 
1.1%
339776.065359 1
 
1.1%
Other values (66) 66
74.2%
(Missing) 2
 
2.2%
ValueCountFrequency (%)
333415.217405 1
1.1%
334345.322515 1
1.1%
334875.549386 1
1.1%
334920.933624 1
1.1%
335193.722935 1
1.1%
335642.888399 1
1.1%
335806.191873 1
1.1%
336178.174639 1
1.1%
337678.732425 1
1.1%
338003.522354 1
1.1%
ValueCountFrequency (%)
354755.033317 1
1.1%
353862.969131 2
2.2%
352725.021343 1
1.1%
348898.124525 1
1.1%
348666.821547 1
1.1%
348665.873375 1
1.1%
348070.291081 1
1.1%
348032.167321 1
1.1%
347464.052033 1
1.1%
346969.129572 2
2.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct76
Distinct (%)87.4%
Missing2
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean263329.53
Minimum257161.28
Maximum271327.71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size929.0 B
2024-04-21T02:26:55.022991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum257161.28
5-th percentile259625.26
Q1261405.16
median263040.01
Q3264788.11
95-th percentile268062.56
Maximum271327.71
Range14166.422
Interquartile range (IQR)3382.9456

Descriptive statistics

Standard deviation2645.463
Coefficient of variation (CV)0.010046207
Kurtosis0.61993965
Mean263329.53
Median Absolute Deviation (MAD)1675.6107
Skewness0.47321031
Sum22909670
Variance6998474.4
MonotonicityNot monotonic
2024-04-21T02:26:55.268081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
262643.902173 4
 
4.5%
262912.887933 3
 
3.4%
265380.272888 2
 
2.2%
266167.784875 2
 
2.2%
259801.351093 2
 
2.2%
261397.463751 2
 
2.2%
265145.040121 2
 
2.2%
264714.344433 2
 
2.2%
259052.115282 1
 
1.1%
261703.747586 1
 
1.1%
Other values (66) 66
74.2%
(Missing) 2
 
2.2%
ValueCountFrequency (%)
257161.284214 1
1.1%
258226.476813 1
1.1%
258570.98584 1
1.1%
259052.115282 1
1.1%
259549.788813 1
1.1%
259801.351093 2
2.2%
260244.108497 1
1.1%
260454.423978 1
1.1%
260479.646796 1
1.1%
260526.965278 1
1.1%
ValueCountFrequency (%)
271327.706448 1
1.1%
270672.162723 1
1.1%
269009.174969 1
1.1%
268476.874903 1
1.1%
268253.830253 1
1.1%
267616.268895 1
1.1%
266987.666828 1
1.1%
266601.164356 1
1.1%
266264.147834 1
1.1%
266167.784875 2
2.2%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size840.0 B
게임물배급업
89 

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 89
100.0%

Length

2024-04-21T02:26:55.498232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:26:55.664943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
게임물배급업 89
100.0%

문화사업자구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size840.0 B
유통관련업
89 

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 89
100.0%

Length

2024-04-21T02:26:55.832960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:26:55.999500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 89
100.0%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)30.0%
Missing49
Missing (%)55.1%
Infinite0
Infinite (%)0.0%
Mean4.325
Minimum0
Maximum20
Zeros4
Zeros (%)4.5%
Negative0
Negative (%)0.0%
Memory size929.0 B
2024-04-21T02:26:56.207760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q35
95-th percentile13.1
Maximum20
Range20
Interquartile range (IQR)3

Descriptive statistics

Standard deviation4.159558
Coefficient of variation (CV)0.96174752
Kurtosis5.2127777
Mean4.325
Median Absolute Deviation (MAD)2
Skewness2.1360871
Sum173
Variance17.301923
MonotonicityNot monotonic
2024-04-21T02:26:56.599302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2 11
 
12.4%
4 9
 
10.1%
5 6
 
6.7%
0 4
 
4.5%
1 2
 
2.2%
6 2
 
2.2%
20 1
 
1.1%
8 1
 
1.1%
15 1
 
1.1%
3 1
 
1.1%
Other values (2) 2
 
2.2%
(Missing) 49
55.1%
ValueCountFrequency (%)
0 4
 
4.5%
1 2
 
2.2%
2 11
12.4%
3 1
 
1.1%
4 9
10.1%
5 6
6.7%
6 2
 
2.2%
8 1
 
1.1%
12 1
 
1.1%
13 1
 
1.1%
ValueCountFrequency (%)
20 1
 
1.1%
15 1
 
1.1%
13 1
 
1.1%
12 1
 
1.1%
8 1
 
1.1%
6 2
 
2.2%
5 6
6.7%
4 9
10.1%
3 1
 
1.1%
2 11
12.4%

주변환경명
Categorical

IMBALANCE 

Distinct6
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size840.0 B
<NA>
68 
기타
10 
주택가주변
 
5
아파트지역
 
4
학교정화(절대)
 
1

Length

Max length8
Median length4
Mean length3.9662921
Min length2

Unique

Unique2 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 68
76.4%
기타 10
 
11.2%
주택가주변 5
 
5.6%
아파트지역 4
 
4.5%
학교정화(절대) 1
 
1.1%
학교정화(상대) 1
 
1.1%

Length

2024-04-21T02:26:57.033620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:26:57.393419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 68
76.4%
기타 10
 
11.2%
주택가주변 5
 
5.6%
아파트지역 4
 
4.5%
학교정화(절대 1
 
1.1%
학교정화(상대 1
 
1.1%

제작취급품목내용
Text

Distinct57
Distinct (%)64.0%
Missing0
Missing (%)0.0%
Memory size840.0 B
2024-04-21T02:26:58.232781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11
Mean length6.3483146
Min length2

Characters and Unicode

Total characters565
Distinct characters88
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

Unique46 ?
Unique (%)51.7%

Sample

1st row게임물
2nd row게임물
3rd row게임물
4th row게임물
5th row온라인게임
ValueCountFrequency (%)
게임 14
 
11.6%
게임물 12
 
9.9%
온라인게임 6
 
5.0%
모바일게임 5
 
4.1%
아케이드 5
 
4.1%
모바일 5
 
4.1%
아케이드게임 4
 
3.3%
온라인 3
 
2.5%
보드게임 3
 
2.5%
스마트폰게임 3
 
2.5%
Other values (51) 61
50.4%
2024-04-21T02:26:59.530155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
임 79
 
14.0%
게 78
 
13.8%
32
 
5.7%
이 17
 
3.0%
온 17
 
3.0%
라 17
 
3.0%
인 17
 
3.0%
드 17
 
3.0%
기 16
 
2.8%
일 16
 
2.8%
Other values (78) 259
45.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 489
86.5%
Space Separator 32
 
5.7%
Uppercase Letter 18
 
3.2%
Other Punctuation 14
 
2.5%
Lowercase Letter 8
 
1.4%
Close Punctuation 2
 
0.4%
Open Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
임 79
 
16.2%
게 78
 
16.0%
이 17
 
3.5%
온 17
 
3.5%
라 17
 
3.5%
인 17
 
3.5%
드 17
 
3.5%
기 16
 
3.3%
일 16
 
3.3%
물 16
 
3.3%
Other values (63) 199
40.7%
Uppercase Letter
ValueCountFrequency (%)
R 5
27.8%
V 5
27.8%
C 4
22.2%
P 3
16.7%
D 1
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
a 3
37.5%
i 2
25.0%
l 1
 
12.5%
p 1
 
12.5%
y 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
, 13
92.9%
/ 1
 
7.1%
Space Separator
ValueCountFrequency (%)
32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 489
86.5%
Common 50
 
8.8%
Latin 26
 
4.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
임 79
 
16.2%
게 78
 
16.0%
이 17
 
3.5%
온 17
 
3.5%
라 17
 
3.5%
인 17
 
3.5%
드 17
 
3.5%
기 16
 
3.3%
일 16
 
3.3%
물 16
 
3.3%
Other values (63) 199
40.7%
Latin
ValueCountFrequency (%)
R 5
19.2%
V 5
19.2%
C 4
15.4%
P 3
11.5%
a 3
11.5%
i 2
 
7.7%
l 1
 
3.8%
D 1
 
3.8%
p 1
 
3.8%
y 1
 
3.8%
Common
ValueCountFrequency (%)
32
64.0%
, 13
26.0%
) 2
 
4.0%
( 2
 
4.0%
/ 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 489
86.5%
ASCII 76
 
13.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
임 79
 
16.2%
게 78
 
16.0%
이 17
 
3.5%
온 17
 
3.5%
라 17
 
3.5%
인 17
 
3.5%
드 17
 
3.5%
기 16
 
3.3%
일 16
 
3.3%
물 16
 
3.3%
Other values (63) 199
40.7%
ASCII
ValueCountFrequency (%)
32
42.1%
, 13
17.1%
R 5
 
6.6%
V 5
 
6.6%
C 4
 
5.3%
P 3
 
3.9%
a 3
 
3.9%
) 2
 
2.6%
i 2
 
2.6%
( 2
 
2.6%
Other values (5) 5
 
6.6%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct73
Distinct (%)91.2%
Missing9
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean94.8495
Minimum0
Maximum840.07
Zeros1
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size929.0 B
2024-04-21T02:26:59.934553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q127.0975
median63.025
Q3106.115
95-th percentile274.457
Maximum840.07
Range840.07
Interquartile range (IQR)79.0175

Descriptive statistics

Standard deviation116.72644
Coefficient of variation (CV)1.230649
Kurtosis20.472246
Mean94.8495
Median Absolute Deviation (MAD)40.575
Skewness3.716885
Sum7587.96
Variance13625.062
MonotonicityNot monotonic
2024-04-21T02:27:00.357413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0 4
 
4.5%
33.0 3
 
3.4%
30.0 2
 
2.2%
105.6 2
 
2.2%
43.04 1
 
1.1%
100.0 1
 
1.1%
66.1 1
 
1.1%
214.58 1
 
1.1%
25.0 1
 
1.1%
310.63 1
 
1.1%
Other values (63) 63
70.8%
(Missing) 9
 
10.1%
ValueCountFrequency (%)
0.0 1
 
1.1%
1.0 4
4.5%
3.3 1
 
1.1%
8.0 1
 
1.1%
9.0 1
 
1.1%
10.11 1
 
1.1%
12.0 1
 
1.1%
13.44 1
 
1.1%
14.4 1
 
1.1%
16.0 1
 
1.1%
ValueCountFrequency (%)
840.07 1
1.1%
342.18 1
1.1%
310.63 1
1.1%
307.65 1
1.1%
272.71 1
1.1%
262.0 1
1.1%
232.02 1
1.1%
214.58 1
1.1%
212.62 1
1.1%
207.0 1
1.1%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)19.0%
Missing47
Missing (%)52.8%
Infinite0
Infinite (%)0.0%
Mean2.452381
Minimum0
Maximum9
Zeros4
Zeros (%)4.5%
Negative0
Negative (%)0.0%
Memory size929.0 B
2024-04-21T02:27:00.713085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile7.85
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.1092408
Coefficient of variation (CV)0.86007876
Kurtosis2.5351012
Mean2.452381
Median Absolute Deviation (MAD)1
Skewness1.5598778
Sum103
Variance4.4488966
MonotonicityNot monotonic
2024-04-21T02:27:01.049549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 13
 
14.6%
2 9
 
10.1%
3 7
 
7.9%
0 4
 
4.5%
4 4
 
4.5%
8 2
 
2.2%
5 2
 
2.2%
9 1
 
1.1%
(Missing) 47
52.8%
ValueCountFrequency (%)
0 4
 
4.5%
1 13
14.6%
2 9
10.1%
3 7
7.9%
4 4
 
4.5%
5 2
 
2.2%
8 2
 
2.2%
9 1
 
1.1%
ValueCountFrequency (%)
9 1
 
1.1%
8 2
 
2.2%
5 2
 
2.2%
4 4
 
4.5%
3 7
7.9%
2 9
10.1%
1 13
14.6%
0 4
 
4.5%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size840.0 B
<NA>
75 
1
 
7
0
 
7

Length

Max length4
Median length4
Mean length3.5280899
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> 75
84.3%
1 7
 
7.9%
0 7
 
7.9%

Length

2024-04-21T02:27:01.448326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:27:01.787080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 75
84.3%
1 7
 
7.9%
0 7
 
7.9%

건물용도명
Categorical

Distinct9
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Memory size840.0 B
<NA>
60 
근린생활시설
13 
사무실
 
5
단독주택
 
4
교육연구시설
 
3
Other values (4)
 
4

Length

Max length15
Median length4
Mean length4.4157303
Min length2

Unique

Unique4 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 60
67.4%
근린생활시설 13
 
14.6%
사무실 5
 
5.6%
단독주택 4
 
4.5%
교육연구시설 3
 
3.4%
판매시설 1
 
1.1%
다가구용 주택(공동주택적용) 1
 
1.1%
기타 1
 
1.1%
다세대주택 1
 
1.1%

Length

2024-04-21T02:27:02.164318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:27:02.771576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 60
66.7%
근린생활시설 13
 
14.4%
사무실 5
 
5.6%
단독주택 4
 
4.4%
교육연구시설 3
 
3.3%
판매시설 1
 
1.1%
다가구용 1
 
1.1%
주택(공동주택적용 1
 
1.1%
기타 1
 
1.1%
다세대주택 1
 
1.1%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size840.0 B
<NA>
82 
0
 
7

Length

Max length4
Median length4
Mean length3.7640449
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> 82
92.1%
0 7
 
7.9%

Length

2024-04-21T02:27:03.193948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:27:03.516167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 82
92.1%
0 7
 
7.9%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size840.0 B
<NA>
82 
0
 
7

Length

Max length4
Median length4
Mean length3.7640449
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> 82
92.1%
0 7
 
7.9%

Length

2024-04-21T02:27:03.864665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:27:04.187930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 82
92.1%
0 7
 
7.9%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size840.0 B
<NA>
82 
0
 
7

Length

Max length4
Median length4
Mean length3.7640449
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> 82
92.1%
0 7
 
7.9%

Length

2024-04-21T02:27:04.536358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:27:04.859826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 82
92.1%
0 7
 
7.9%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size840.0 B
<NA>
82 
0
 
7

Length

Max length4
Median length4
Mean length3.7640449
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> 82
92.1%
0 7
 
7.9%

Length

2024-04-21T02:27:05.208369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:27:05.535041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 82
92.1%
0 7
 
7.9%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing89
Missing (%)100.0%
Memory size929.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing89
Missing (%)100.0%
Memory size929.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing89
Missing (%)100.0%
Memory size929.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing89
Missing (%)100.0%
Memory size929.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing89
Missing (%)100.0%
Memory size929.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing89
Missing (%)100.0%
Memory size929.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing89
Missing (%)100.0%
Memory size929.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing89
Missing (%)100.0%
Memory size929.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing89
Missing (%)100.0%
Memory size929.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing89
Missing (%)100.0%
Memory size929.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing89
Missing (%)100.0%
Memory size929.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size840.0 B
<NA>
82 
0
 
7

Length

Max length4
Median length4
Mean length3.7640449
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> 82
92.1%
0 7
 
7.9%

Length

2024-04-21T02:27:05.886775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:27:06.210207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 82
92.1%
0 7
 
7.9%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing89
Missing (%)100.0%
Memory size929.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing89
Missing (%)100.0%
Memory size929.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing89
Missing (%)100.0%
Memory size929.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing89
Missing (%)100.0%
Memory size929.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing89
Missing (%)100.0%
Memory size929.0 B

지역구분명
Categorical

Distinct10
Distinct (%)11.2%
Missing0
Missing (%)0.0%
Memory size840.0 B
<NA>
57 
일반주거지역
15 
일반상업지역
 
5
주거지역
 
4
준주거지역
 
3
Other values (5)
 
5

Length

Max length6
Median length4
Mean length4.5617978
Min length4

Unique

Unique5 ?
Unique (%)5.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 57
64.0%
일반주거지역 15
 
16.9%
일반상업지역 5
 
5.6%
주거지역 4
 
4.5%
준주거지역 3
 
3.4%
상업지역 1
 
1.1%
중심상업지역 1
 
1.1%
준공업지역 1
 
1.1%
근린상업지역 1
 
1.1%
자연녹지지역 1
 
1.1%

Length

2024-04-21T02:27:06.590317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:27:06.982546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 57
64.0%
일반주거지역 15
 
16.9%
일반상업지역 5
 
5.6%
주거지역 4
 
4.5%
준주거지역 3
 
3.4%
상업지역 1
 
1.1%
중심상업지역 1
 
1.1%
준공업지역 1
 
1.1%
근린상업지역 1
 
1.1%
자연녹지지역 1
 
1.1%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
01게임물배급업03_05_01_P3410000CDFF224112199900000119991208<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>700423대구광역시 중구 동인동*가 ***-**번지대구광역시 중구 국채보상로***길 ** (동인동*가)<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>
12게임물배급업03_05_01_P3410000CDFF224112199900000219990618<NA>3폐업3폐업20070313<NA><NA><NA>(053)953-0780<NA>700170대구광역시 중구 완전동 *-**번지대구광역시 중구 교동길 ***-** (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>
23게임물배급업03_05_01_P3410000CDFF224112200100000120011129<NA>1영업/정상13영업중<NA><NA><NA><NA>(053)217-5300<NA><NA>대구광역시 중구 동성로*가 **-**번지 교보생명빌딩 **층대구광역시 중구 국채보상로 *** (동성로*가,교보생명빌딩 **층)<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 동인동*가 **-*번지 동인시티타운 *층대구광역시 중구 국채보상로***길 ** (동인동*가,동인시티타운 *층)<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_P3410000CDFF224112202100000120210607<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 대봉동 **-*대구광역시 중구 동덕로 **-**, *,*층 (대봉동)41952주식회사 원블레이즈20210608085932I2021-06-09 00:22:55.0<NA>344902.047722263466.758184게임물배급업유통관련업<NA><NA>온라인게임105.6<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_P3410000CDFF224112200700000120071004<NA>1영업/정상13영업중<NA><NA><NA><NA>(053)591-9500<NA>700411대구광역시 중구 삼덕동*가 **번지 B동대구광역시 중구 동성로*길 ** (삼덕동*가,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>
67게임물배급업03_05_01_P3410000CDFF224112201200000120120227<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동*가 ***-*번지 진석타워즈 내 창업센터대구광역시 중구 동덕로 ***, *층 ***호 (삼덕동*가)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>
78게임물배급업03_05_01_P3410000CDFF224112202000000120200504<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 수창동 ***번지 대구역센트럴자이 ***동 ****호대구광역시 중구 서성로 **, ***동 ****호 (수창동, 대구역센트럴자이)41915(주)나다디지탈20200504143522I2020-05-06 00:23:19.0<NA><NA><NA>게임물배급업유통관련업<NA>아파트지역게임84.6<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>주거지역
89게임물배급업03_05_01_P3410000CDFF224112200300000120030719<NA>3폐업3폐업20050912<NA><NA><NA>(053)421-1222<NA>700809대구광역시 중구 대봉동 **-*번지 *층대구광역시 중구 동덕로 ** (대봉동,*층)<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>
910게임물배급업03_05_01_P3420000CDFF224112201600000120131024<NA>3폐업3폐업20161123<NA><NA><NA>0539628605<NA><NA>대구광역시 동구 율하동 ****번지대구광역시 동구 율하서로 **, ***호 (율하동)41108브레인스포츠엔터테인먼트(주)20161123163530I2018-08-31 23:59:59.0<NA>352725.021343264201.382696게임물배급업유통관련업20<NA>온라인,모바일게임84.2421<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
7980게임물배급업03_05_01_P3470000CDFF224112201200000120120525<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 월암동 *-***번지대구광역시 달서구 성서공단로**길 ** (월암동)42718(주)텍스랜드앤넥스코20120525104828I2018-08-31 23:59:59.0<NA>334920.933624260244.108497게임물배급업유통관련업1기타온라인교육프로그램105.61<NA>사무실<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8081게임물배급업03_05_01_P3470000CDFF224112202200000120220518<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 두류동 ***-*대구광역시 달서구 달구벌대로 ****, *층 (두류동)42659오티티Y20220518142041I2022-05-20 00:22:32.0<NA>340857.041794263163.351962게임물배급업유통관련업4<NA>기타게임소프트웨어78.6730사무실0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA>일반상업지역
8182게임물배급업03_05_01_P3470000CDFF224112201300000220131024<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 성당동 ***-**번지대구광역시 달서구 장기로**안길 *-* (성당동)42655지에스소프트20131028090031I2018-08-31 23:59:59.0<NA>339776.065359261703.747586게임물배급업유통관련업<NA><NA>아케이드게임82.05<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>
8283게임물배급업03_05_01_P3470000CDFF224112201500000120151103<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 월성동 ****번지 코오롱하늘채 ***동 ****호대구광역시 달서구 조암남로**길 **, ***동 ****호 (월성동, 월성코오롱하늘채아파트 *단지)42756태풍소프트20151105100704I2018-08-31 23:59:59.0<NA>337678.732425259052.115282게임물배급업유통관련업<NA><NA>컴퓨터게임14.4<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>
8384게임물배급업03_05_01_P3470000CDFF224112201500000220130213<NA>3폐업3폐업20160329<NA><NA><NA>053 2019994<NA><NA>대구광역시 달서구 본동 ***번지대구광역시 달서구 송현로 ***, *층 ***호 (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>
8485게임물배급업03_05_01_P3470000CDFF224112201800000120180126<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 호림동 *-*대구광역시 달서구 달서대로**길 **, 모다지식산업센터 나동 *층 ***,***호 (호림동)42714주식회사인솔엠앤티20210503112551U2021-05-05 02:40:00.0<NA>334345.322515260900.296651게임물배급업유통관련업5기타aiaiplay187.71<NA>교육연구시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
8586게임물배급업03_05_01_P3470000CDFF224112201900000120190501<NA>1영업/정상13영업중<NA><NA><NA><NA>0536568480<NA><NA>대구광역시 달서구 상인동 ***-*번지 우리빌딩대구광역시 달서구 월배로 ***, 우리빌딩 *층 ***호 (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
8687게임물배급업03_05_01_P3470000CDFF224112201300000120130327<NA>4취소/말소/만료/정지/중지35직권말소20140808<NA><NA><NA><NA><NA><NA>대구광역시 달서구 이곡동 ****번지대구광역시 달서구 이곡서로 **, ***호 (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>
8788게임물배급업03_05_01_P3480000CDFF224112201900000120180703<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 세천리 ****-*번지대구광역시 달성군 다사읍 세천남로 **, *,*층42930주식회사파코웨어20190926112045I2019-09-27 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
8889게임물배급업03_05_01_P3480000CDFF224112201000000120100419<NA>3폐업3폐업20141226<NA><NA><NA><NA><NA><NA>대구광역시 달성군 화원읍 천내리 **-*번지대구광역시 달성군 화원읍 비슬로***길 *-**<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>