Overview

Dataset statistics

Number of variables59
Number of observations220
Missing cells6582
Missing cells (%)50.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory110.6 KiB
Average record size in memory514.6 B

Variable types

Numeric12
Categorical14
Text6
Unsupported26
DateTime1

Dataset

Description6270000_대구광역시_03_05_02_P_게임물제작업_9월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000091027&dataSetDetailId=DDI_0000091054&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 (89.0%)Imbalance
상세영업상태코드 is highly imbalanced (53.6%)Imbalance
상세영업상태명 is highly imbalanced (53.6%)Imbalance
주변환경명 is highly imbalanced (60.9%)Imbalance
지하층수 is highly imbalanced (82.5%)Imbalance
건물용도명 is highly imbalanced (55.6%)Imbalance
폐업일자 has 170 (77.3%) missing valuesMissing
휴업시작일자 has 220 (100.0%) missing valuesMissing
휴업종료일자 has 220 (100.0%) missing valuesMissing
재개업일자 has 220 (100.0%) missing valuesMissing
소재지전화 has 114 (51.8%) missing valuesMissing
소재지면적 has 220 (100.0%) missing valuesMissing
소재지우편번호 has 176 (80.0%) missing valuesMissing
도로명전체주소 has 5 (2.3%) missing valuesMissing
도로명우편번호 has 66 (30.0%) missing valuesMissing
업태구분명 has 220 (100.0%) missing valuesMissing
좌표정보(X) has 9 (4.1%) missing valuesMissing
좌표정보(Y) has 9 (4.1%) missing valuesMissing
총층수 has 143 (65.0%) missing valuesMissing
시설면적 has 36 (16.4%) missing valuesMissing
지상층수 has 134 (60.9%) missing valuesMissing
통로너비 has 220 (100.0%) missing valuesMissing
조명시설조도 has 220 (100.0%) missing valuesMissing
노래방실수 has 220 (100.0%) missing valuesMissing
청소년실수 has 220 (100.0%) missing valuesMissing
비상계단여부 has 220 (100.0%) missing valuesMissing
비상구여부 has 220 (100.0%) missing valuesMissing
자동환기여부 has 220 (100.0%) missing valuesMissing
청소년실여부 has 220 (100.0%) missing valuesMissing
특수조명여부 has 220 (100.0%) missing valuesMissing
방음시설여부 has 220 (100.0%) missing valuesMissing
비디오재생기명 has 220 (100.0%) missing valuesMissing
조명시설유무 has 220 (100.0%) missing valuesMissing
음향시설여부 has 220 (100.0%) missing valuesMissing
편의시설여부 has 220 (100.0%) missing valuesMissing
소방시설여부 has 220 (100.0%) missing valuesMissing
총게임기수 has 220 (100.0%) missing valuesMissing
기존게임업외업종명 has 220 (100.0%) missing valuesMissing
제공게임물명 has 220 (100.0%) missing valuesMissing
공연장형태구분명 has 220 (100.0%) missing valuesMissing
품목명 has 220 (100.0%) missing valuesMissing
최초등록시점 has 220 (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 3 (1.4%) zerosZeros

Reproduction

Analysis started2024-04-18 07:58:52.077996
Analysis finished2024-04-18 07:58:52.842760
Duration0.76 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct220
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean110.5
Minimum1
Maximum220
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-04-18T16:58:52.905823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile11.95
Q155.75
median110.5
Q3165.25
95-th percentile209.05
Maximum220
Range219
Interquartile range (IQR)109.5

Descriptive statistics

Standard deviation63.652704
Coefficient of variation (CV)0.57604257
Kurtosis-1.2
Mean110.5
Median Absolute Deviation (MAD)55
Skewness0
Sum24310
Variance4051.6667
MonotonicityStrictly increasing
2024-04-18T16:58:53.042479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
153 1
 
0.5%
142 1
 
0.5%
143 1
 
0.5%
144 1
 
0.5%
145 1
 
0.5%
146 1
 
0.5%
147 1
 
0.5%
148 1
 
0.5%
149 1
 
0.5%
Other values (210) 210
95.5%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
220 1
0.5%
219 1
0.5%
218 1
0.5%
217 1
0.5%
216 1
0.5%
215 1
0.5%
214 1
0.5%
213 1
0.5%
212 1
0.5%
211 1
0.5%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
게임물제작업
220 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
게임물제작업 220
100.0%

Length

2024-04-18T16:58:53.161960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:58:53.244605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
게임물제작업 220
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
03_05_02_P
220 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03_05_02_P
2nd row03_05_02_P
3rd row03_05_02_P
4th row03_05_02_P
5th row03_05_02_P

Common Values

ValueCountFrequency (%)
03_05_02_P 220
100.0%

Length

2024-04-18T16:58:53.327458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:58:53.427010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_05_02_p 220
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3439954.5
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-04-18T16:58:53.514110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13420000
median3440000
Q33460000
95-th percentile3470000
Maximum3480000
Range70000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation21464.588
Coefficient of variation (CV)0.0062397881
Kurtosis-1.3171958
Mean3439954.5
Median Absolute Deviation (MAD)20000
Skewness-0.038787471
Sum7.5679 × 108
Variance4.6072852 × 108
MonotonicityIncreasing
2024-04-18T16:58:53.623841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3440000 44
20.0%
3410000 42
19.1%
3420000 35
15.9%
3460000 33
15.0%
3470000 31
14.1%
3450000 28
12.7%
3430000 4
 
1.8%
3480000 3
 
1.4%
ValueCountFrequency (%)
3410000 42
19.1%
3420000 35
15.9%
3430000 4
 
1.8%
3440000 44
20.0%
3450000 28
12.7%
3460000 33
15.0%
3470000 31
14.1%
3480000 3
 
1.4%
ValueCountFrequency (%)
3480000 3
 
1.4%
3470000 31
14.1%
3460000 33
15.0%
3450000 28
12.7%
3440000 44
20.0%
3430000 4
 
1.8%
3420000 35
15.9%
3410000 42
19.1%

관리번호
Text

Distinct97
Distinct (%)44.1%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-04-18T16:58:53.817982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters4400
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

Unique41 ?
Unique (%)18.6%

Sample

1st rowCDFF2241082003000001
2nd rowCDFF2241082019000001
3rd rowCDFF2241082016000003
4th rowCDFF2241082002000003
5th rowCDFF2241082011000002
ValueCountFrequency (%)
cdff2241082014000001 7
 
3.2%
cdff2241082021000001 7
 
3.2%
cdff2241082015000001 6
 
2.7%
cdff2241082009000001 6
 
2.7%
cdff2241082019000001 6
 
2.7%
cdff2241082008000001 5
 
2.3%
cdff2241082018000002 5
 
2.3%
cdff2241082019000002 5
 
2.3%
cdff2241082020000001 5
 
2.3%
cdff2241082020000002 4
 
1.8%
Other values (87) 164
74.5%
2024-04-18T16:58:54.198973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1644
37.4%
2 759
17.2%
1 454
 
10.3%
F 440
 
10.0%
4 256
 
5.8%
8 247
 
5.6%
C 220
 
5.0%
D 220
 
5.0%
3 46
 
1.0%
5 32
 
0.7%
Other values (3) 82
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3520
80.0%
Uppercase Letter 880
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1644
46.7%
2 759
21.6%
1 454
 
12.9%
4 256
 
7.3%
8 247
 
7.0%
3 46
 
1.3%
5 32
 
0.9%
9 32
 
0.9%
7 28
 
0.8%
6 22
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
F 440
50.0%
C 220
25.0%
D 220
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3520
80.0%
Latin 880
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1644
46.7%
2 759
21.6%
1 454
 
12.9%
4 256
 
7.3%
8 247
 
7.0%
3 46
 
1.3%
5 32
 
0.9%
9 32
 
0.9%
7 28
 
0.8%
6 22
 
0.6%
Latin
ValueCountFrequency (%)
F 440
50.0%
C 220
25.0%
D 220
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4400
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1644
37.4%
2 759
17.2%
1 454
 
10.3%
F 440
 
10.0%
4 256
 
5.8%
8 247
 
5.6%
C 220
 
5.0%
D 220
 
5.0%
3 46
 
1.0%
5 32
 
0.7%
Other values (3) 82
 
1.9%

인허가일자
Real number (ℝ)

Distinct212
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20120936
Minimum19990706
Maximum20210611
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-04-18T16:58:54.463389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19990706
5-th percentile20019755
Q120070982
median20130208
Q320171136
95-th percentile20210115
Maximum20210611
Range219905
Interquartile range (IQR)100154.5

Descriptive statistics

Standard deviation61625.185
Coefficient of variation (CV)0.0030627395
Kurtosis-1.1036878
Mean20120936
Median Absolute Deviation (MAD)49999
Skewness-0.2861715
Sum4.426606 × 109
Variance3.7976635 × 109
MonotonicityNot monotonic
2024-04-18T16:58:54.664288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200508 2
 
0.9%
20100409 2
 
0.9%
20050614 2
 
0.9%
20011129 2
 
0.9%
20210121 2
 
0.9%
20161228 2
 
0.9%
20170228 2
 
0.9%
20080411 2
 
0.9%
20160616 1
 
0.5%
20140724 1
 
0.5%
Other values (202) 202
91.8%
ValueCountFrequency (%)
19990706 1
0.5%
19990730 1
0.5%
20000104 1
0.5%
20000415 1
0.5%
20000613 1
0.5%
20000807 1
0.5%
20010111 1
0.5%
20010419 1
0.5%
20010817 1
0.5%
20011129 2
0.9%
ValueCountFrequency (%)
20210611 1
0.5%
20210607 1
0.5%
20210528 1
0.5%
20210514 1
0.5%
20210511 1
0.5%
20210409 1
0.5%
20210326 1
0.5%
20210309 1
0.5%
20210305 1
0.5%
20210121 2
0.9%

인허가취소일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
214 
20070726
 
3
20110302
 
2
20101102
 
1

Length

Max length8
Median length4
Mean length4.1090909
Min length4

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row20101102
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 214
97.3%
20070726 3
 
1.4%
20110302 2
 
0.9%
20101102 1
 
0.5%

Length

2024-04-18T16:58:54.801960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:58:54.945321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 214
97.3%
20070726 3
 
1.4%
20110302 2
 
0.9%
20101102 1
 
0.5%

영업상태구분코드
Categorical

Distinct3
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
1
164 
3
45 
4
 
11

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row1
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
1 164
74.5%
3 45
 
20.5%
4 11
 
5.0%

Length

2024-04-18T16:58:55.077484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:58:55.256515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 164
74.5%
3 45
 
20.5%
4 11
 
5.0%

영업상태명
Categorical

Distinct3
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
영업/정상
164 
폐업
45 
취소/말소/만료/정지/중지
 
11

Length

Max length14
Median length5
Mean length4.8363636
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 164
74.5%
폐업 45
 
20.5%
취소/말소/만료/정지/중지 11
 
5.0%

Length

2024-04-18T16:58:55.800165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:58:55.926504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 164
74.5%
폐업 45
 
20.5%
취소/말소/만료/정지/중지 11
 
5.0%

상세영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
13
164 
3
45 
35
 
5
31
 
3
30
 
3

Length

Max length2
Median length2
Mean length1.7954545
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row31
2nd row13
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
13 164
74.5%
3 45
 
20.5%
35 5
 
2.3%
31 3
 
1.4%
30 3
 
1.4%

Length

2024-04-18T16:58:56.114513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:58:56.296075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 164
74.5%
3 45
 
20.5%
35 5
 
2.3%
31 3
 
1.4%
30 3
 
1.4%

상세영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
영업중
164 
폐업
45 
직권말소
 
5
등록취소
 
3
허가취소
 
3

Length

Max length4
Median length3
Mean length2.8454545
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 164
74.5%
폐업 45
 
20.5%
직권말소 5
 
2.3%
등록취소 3
 
1.4%
허가취소 3
 
1.4%

Length

2024-04-18T16:58:56.482890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:58:56.612067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 164
74.5%
폐업 45
 
20.5%
직권말소 5
 
2.3%
등록취소 3
 
1.4%
허가취소 3
 
1.4%

폐업일자
Real number (ℝ)

MISSING 

Distinct46
Distinct (%)92.0%
Missing170
Missing (%)77.3%
Infinite0
Infinite (%)0.0%
Mean20121681
Minimum20050912
Maximum20210302
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-04-18T16:58:56.752736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20050912
5-th percentile20050912
Q120090325
median20120225
Q320160924
95-th percentile20200375
Maximum20210302
Range159390
Interquartile range (IQR)70599.75

Descriptive statistics

Standard deviation47159.242
Coefficient of variation (CV)0.0023437029
Kurtosis-1.0677272
Mean20121681
Median Absolute Deviation (MAD)39955.5
Skewness0.22574835
Sum1.0060841 × 109
Variance2.2239941 × 109
MonotonicityNot monotonic
2024-04-18T16:58:56.911649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
20050912 5
 
2.3%
20130426 1
 
0.5%
20110704 1
 
0.5%
20130123 1
 
0.5%
20200319 1
 
0.5%
20131217 1
 
0.5%
20101123 1
 
0.5%
20110127 1
 
0.5%
20180802 1
 
0.5%
20191216 1
 
0.5%
Other values (36) 36
 
16.4%
(Missing) 170
77.3%
ValueCountFrequency (%)
20050912 5
2.3%
20070126 1
 
0.5%
20070208 1
 
0.5%
20070313 1
 
0.5%
20070430 1
 
0.5%
20070703 1
 
0.5%
20071016 1
 
0.5%
20080418 1
 
0.5%
20090323 1
 
0.5%
20090330 1
 
0.5%
ValueCountFrequency (%)
20210302 1
0.5%
20201204 1
0.5%
20200421 1
0.5%
20200319 1
0.5%
20191216 1
0.5%
20181224 1
0.5%
20180802 1
0.5%
20180720 1
0.5%
20180604 1
0.5%
20180403 1
0.5%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing220
Missing (%)100.0%
Memory size2.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing220
Missing (%)100.0%
Memory size2.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing220
Missing (%)100.0%
Memory size2.1 KiB

소재지전화
Text

MISSING 

Distinct105
Distinct (%)99.1%
Missing114
Missing (%)51.8%
Memory size1.8 KiB
2024-04-18T16:58:57.182277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length11.009434
Min length8

Characters and Unicode

Total characters1167
Distinct characters16
Distinct categories7 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique104 ?
Unique (%)98.1%

Sample

1st row(053)427-0500
2nd row(053)422-6030
3rd row07041381580
4th row053-254-8380
5th row(053)254-7253
ValueCountFrequency (%)
053 3
 
2.8%
053)423-1839 2
 
1.8%
053-851-1015 1
 
0.9%
053-741-9405 1
 
0.9%
053-554-2920 1
 
0.9%
0536558055 1
 
0.9%
053-752-0456 1
 
0.9%
053-312-1400 1
 
0.9%
053-719-0606 1
 
0.9%
070-5121-3053 1
 
0.9%
Other values (96) 96
88.1%
2024-04-18T16:58:57.718846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 172
14.7%
5 147
12.6%
- 139
11.9%
3 136
11.7%
2 107
9.2%
1 91
7.8%
4 89
7.6%
7 80
6.9%
6 62
 
5.3%
8 58
 
5.0%
Other values (6) 86
7.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 991
84.9%
Dash Punctuation 139
 
11.9%
Open Punctuation 16
 
1.4%
Close Punctuation 16
 
1.4%
Space Separator 3
 
0.3%
Math Symbol 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 172
17.4%
5 147
14.8%
3 136
13.7%
2 107
10.8%
1 91
9.2%
4 89
9.0%
7 80
8.1%
6 62
 
6.3%
8 58
 
5.9%
9 49
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 139
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Math Symbol
ValueCountFrequency (%)
= 1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1167
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 172
14.7%
5 147
12.6%
- 139
11.9%
3 136
11.7%
2 107
9.2%
1 91
7.8%
4 89
7.6%
7 80
6.9%
6 62
 
5.3%
8 58
 
5.0%
Other values (6) 86
7.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1167
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 172
14.7%
5 147
12.6%
- 139
11.9%
3 136
11.7%
2 107
9.2%
1 91
7.8%
4 89
7.6%
7 80
6.9%
6 62
 
5.3%
8 58
 
5.0%
Other values (6) 86
7.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing220
Missing (%)100.0%
Memory size2.1 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct32
Distinct (%)72.7%
Missing176
Missing (%)80.0%
Infinite0
Infinite (%)0.0%
Mean702942.23
Minimum700060
Maximum706840
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-04-18T16:58:57.868176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700060
5-th percentile700170
Q1700412.75
median701320
Q3705816.25
95-th percentile706832.35
Maximum706840
Range6780
Interquartile range (IQR)5403.5

Descriptive statistics

Standard deviation2747.3644
Coefficient of variation (CV)0.0039083787
Kurtosis-1.7225688
Mean702942.23
Median Absolute Deviation (MAD)1205
Skewness0.30114459
Sum30929458
Variance7548011.3
MonotonicityNot monotonic
2024-04-18T16:58:57.993523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
700170 6
 
2.7%
700423 3
 
1.4%
700804 2
 
0.9%
704833 2
 
0.9%
706808 2
 
0.9%
700180 2
 
0.9%
700412 2
 
0.9%
700413 1
 
0.5%
700811 1
 
0.5%
704937 1
 
0.5%
Other values (22) 22
 
10.0%
(Missing) 176
80.0%
ValueCountFrequency (%)
700060 1
 
0.5%
700170 6
2.7%
700180 2
 
0.9%
700412 2
 
0.9%
700413 1
 
0.5%
700421 1
 
0.5%
700423 3
1.4%
700743 1
 
0.5%
700802 1
 
0.5%
700804 2
 
0.9%
ValueCountFrequency (%)
706840 1
0.5%
706836 1
0.5%
706834 1
0.5%
706823 1
0.5%
706822 1
0.5%
706808 2
0.9%
706800 1
0.5%
706170 1
0.5%
706160 1
0.5%
705817 1
0.5%

소재지전체주소
Text

Distinct178
Distinct (%)80.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-04-18T16:58:58.278086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length40
Mean length26.254545
Min length13

Characters and Unicode

Total characters5776
Distinct characters191
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

Unique153 ?
Unique (%)69.5%

Sample

1st row대구광역시 중구 동문동 *-**번지
2nd row대구광역시 중구 삼덕동*가 ***-**번지 *층
3rd row대구광역시 중구 남산동 ****-**번지 *층
4th row대구광역시 중구 완전동 *-**번지
5th row대구광역시 중구 동인동*가 ***번지 **태평아파트 *동 ***호
ValueCountFrequency (%)
대구광역시 220
20.2%
번지 192
17.6%
호 49
 
4.5%
남구 44
 
4.0%
중구 42
 
3.9%
대명동 36
 
3.3%
동구 35
 
3.2%
33
 
3.0%
수성구 33
 
3.0%
달서구 31
 
2.8%
Other values (145) 373
34.3%
2024-04-18T16:58:58.748977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1161
20.1%
1059
18.3%
구 470
 
8.1%
대 309
 
5.3%
동 281
 
4.9%
역 230
 
4.0%
광 224
 
3.9%
시 222
 
3.8%
지 215
 
3.7%
번 192
 
3.3%
Other values (181) 1413
24.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3338
57.8%
Other Punctuation 1164
 
20.2%
Space Separator 1059
 
18.3%
Dash Punctuation 171
 
3.0%
Uppercase Letter 28
 
0.5%
Close Punctuation 7
 
0.1%
Open Punctuation 7
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 470
14.1%
대 309
 
9.3%
동 281
 
8.4%
역 230
 
6.9%
광 224
 
6.7%
시 222
 
6.7%
지 215
 
6.4%
번 192
 
5.8%
호 55
 
1.6%
성 53
 
1.6%
Other values (159) 1087
32.6%
Uppercase Letter
ValueCountFrequency (%)
I 4
14.3%
A 4
14.3%
D 3
10.7%
C 3
10.7%
T 2
 
7.1%
F 2
 
7.1%
P 2
 
7.1%
H 1
 
3.6%
B 1
 
3.6%
S 1
 
3.6%
Other values (5) 5
17.9%
Other Punctuation
ValueCountFrequency (%)
* 1161
99.7%
, 3
 
0.3%
Space Separator
ValueCountFrequency (%)
1059
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 171
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3338
57.8%
Common 2410
41.7%
Latin 28
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 470
14.1%
대 309
 
9.3%
동 281
 
8.4%
역 230
 
6.9%
광 224
 
6.7%
시 222
 
6.7%
지 215
 
6.4%
번 192
 
5.8%
호 55
 
1.6%
성 53
 
1.6%
Other values (159) 1087
32.6%
Latin
ValueCountFrequency (%)
I 4
14.3%
A 4
14.3%
D 3
10.7%
C 3
10.7%
T 2
 
7.1%
F 2
 
7.1%
P 2
 
7.1%
H 1
 
3.6%
B 1
 
3.6%
S 1
 
3.6%
Other values (5) 5
17.9%
Common
ValueCountFrequency (%)
* 1161
48.2%
1059
43.9%
- 171
 
7.1%
) 7
 
0.3%
( 7
 
0.3%
, 3
 
0.1%
~ 2
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3338
57.8%
ASCII 2438
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1161
47.6%
1059
43.4%
- 171
 
7.0%
) 7
 
0.3%
( 7
 
0.3%
I 4
 
0.2%
A 4
 
0.2%
, 3
 
0.1%
D 3
 
0.1%
C 3
 
0.1%
Other values (12) 16
 
0.7%
Hangul
ValueCountFrequency (%)
구 470
14.1%
대 309
 
9.3%
동 281
 
8.4%
역 230
 
6.9%
광 224
 
6.7%
시 222
 
6.7%
지 215
 
6.4%
번 192
 
5.8%
호 55
 
1.6%
성 53
 
1.6%
Other values (159) 1087
32.6%

도로명전체주소
Text

MISSING 

Distinct190
Distinct (%)88.4%
Missing5
Missing (%)2.3%
Memory size1.8 KiB
2024-04-18T16:58:58.999413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length47
Mean length33.209302
Min length21

Characters and Unicode

Total characters7140
Distinct characters235
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

Unique178 ?
Unique (%)82.8%

Sample

1st row대구광역시 중구 교동*길 **-** (동문동)
2nd row대구광역시 중구 달구벌대로 ****, *층 (삼덕동*가)
3rd row대구광역시 중구 남산로 **-*, *층 (남산동)
4th row대구광역시 중구 교동*길 **-* (완전동)
5th row대구광역시 중구 태평로 ***, *동 ***호 (동인동*가, 태평아파트)
ValueCountFrequency (%)
219
 
15.8%
대구광역시 215
 
15.5%
호 90
 
6.5%
층 81
 
5.8%
남구 42
 
3.0%
중구 41
 
3.0%
동구 35
 
2.5%
수성구 32
 
2.3%
대명동 31
 
2.2%
달서구 30
 
2.2%
Other values (261) 569
41.1%
2024-04-18T16:58:59.454341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1227
17.2%
* 1211
17.0%
구 498
 
7.0%
대 365
 
5.1%
동 340
 
4.8%
역 226
 
3.2%
시 222
 
3.1%
광 221
 
3.1%
) 215
 
3.0%
( 215
 
3.0%
Other values (225) 2400
33.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3997
56.0%
Other Punctuation 1425
 
20.0%
Space Separator 1227
 
17.2%
Close Punctuation 215
 
3.0%
Open Punctuation 215
 
3.0%
Dash Punctuation 29
 
0.4%
Uppercase Letter 27
 
0.4%
Math Symbol 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 498
 
12.5%
대 365
 
9.1%
동 340
 
8.5%
역 226
 
5.7%
시 222
 
5.6%
광 221
 
5.5%
로 204
 
5.1%
호 105
 
2.6%
층 94
 
2.4%
길 87
 
2.2%
Other values (207) 1635
40.9%
Uppercase Letter
ValueCountFrequency (%)
A 7
25.9%
I 6
22.2%
T 5
18.5%
F 2
 
7.4%
S 1
 
3.7%
W 1
 
3.7%
C 1
 
3.7%
M 1
 
3.7%
Y 1
 
3.7%
P 1
 
3.7%
Other Punctuation
ValueCountFrequency (%)
* 1211
85.0%
, 214
 
15.0%
Space Separator
ValueCountFrequency (%)
1227
100.0%
Close Punctuation
ValueCountFrequency (%)
) 215
100.0%
Open Punctuation
ValueCountFrequency (%)
( 215
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3997
56.0%
Common 3116
43.6%
Latin 27
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 498
 
12.5%
대 365
 
9.1%
동 340
 
8.5%
역 226
 
5.7%
시 222
 
5.6%
광 221
 
5.5%
로 204
 
5.1%
호 105
 
2.6%
층 94
 
2.4%
길 87
 
2.2%
Other values (207) 1635
40.9%
Latin
ValueCountFrequency (%)
A 7
25.9%
I 6
22.2%
T 5
18.5%
F 2
 
7.4%
S 1
 
3.7%
W 1
 
3.7%
C 1
 
3.7%
M 1
 
3.7%
Y 1
 
3.7%
P 1
 
3.7%
Common
ValueCountFrequency (%)
1227
39.4%
* 1211
38.9%
) 215
 
6.9%
( 215
 
6.9%
, 214
 
6.9%
- 29
 
0.9%
~ 5
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3997
56.0%
ASCII 3143
44.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1227
39.0%
* 1211
38.5%
) 215
 
6.8%
( 215
 
6.8%
, 214
 
6.8%
- 29
 
0.9%
A 7
 
0.2%
I 6
 
0.2%
~ 5
 
0.2%
T 5
 
0.2%
Other values (8) 9
 
0.3%
Hangul
ValueCountFrequency (%)
구 498
 
12.5%
대 365
 
9.1%
동 340
 
8.5%
역 226
 
5.7%
시 222
 
5.6%
광 221
 
5.5%
로 204
 
5.1%
호 105
 
2.6%
층 94
 
2.4%
길 87
 
2.2%
Other values (207) 1635
40.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct89
Distinct (%)57.8%
Missing66
Missing (%)30.0%
Infinite0
Infinite (%)0.0%
Mean72080.188
Minimum41028
Maximum711822
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-04-18T16:58:59.591449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41028
5-th percentile41237.75
Q141514.75
median42069
Q342409.75
95-th percentile42951.7
Maximum711822
Range670794
Interquartile range (IQR)895

Descriptive statistics

Standard deviation138502.81
Coefficient of variation (CV)1.9215101
Kurtosis17.656413
Mean72080.188
Median Absolute Deviation (MAD)484
Skewness4.407519
Sum11100349
Variance1.9183028 × 1010
MonotonicityNot monotonic
2024-04-18T16:58:59.752323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42403 20
 
9.1%
41256 14
 
6.4%
41566 8
 
3.6%
41260 8
 
3.6%
41585 5
 
2.3%
41937 4
 
1.8%
42250 4
 
1.8%
41912 3
 
1.4%
41484 3
 
1.4%
42176 2
 
0.9%
Other values (79) 83
37.7%
(Missing) 66
30.0%
ValueCountFrequency (%)
41028 1
0.5%
41065 1
0.5%
41074 1
0.5%
41108 1
0.5%
41125 1
0.5%
41167 1
0.5%
41227 1
0.5%
41228 1
0.5%
41243 1
0.5%
41244 1
0.5%
ValueCountFrequency (%)
711822 1
0.5%
705831 1
0.5%
705819 1
0.5%
705039 1
0.5%
702812 1
0.5%
700836 1
0.5%
700754 1
0.5%
42992 1
0.5%
42930 1
0.5%
42818 1
0.5%

사업장명
Text

Distinct217
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-04-18T16:59:00.072501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length15
Mean length7.0909091
Min length2

Characters and Unicode

Total characters1560
Distinct characters294
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique214 ?
Unique (%)97.3%

Sample

1st row한양전자
2nd row셈틀소프트주식회사
3rd row스타터 유한책임회사
4th row대경실업
5th row사이드빌(SIDEVIL)
ValueCountFrequency (%)
주식회사 26
 
9.6%
소프트 3
 
1.1%
휴즈넷 2
 
0.7%
부성 2
 
0.7%
다모아 2
 
0.7%
푸딩 2
 
0.7%
factory 1
 
0.4%
주)리얼미디어웍스 1
 
0.4%
스마트이 1
 
0.4%
inc 1
 
0.4%
Other values (231) 231
84.9%
2024-04-18T16:59:00.463765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 97
 
6.2%
( 76
 
4.9%
) 76
 
4.9%
스 59
 
3.8%
이 52
 
3.3%
52
 
3.3%
트 49
 
3.1%
사 39
 
2.5%
프 35
 
2.2%
회 33
 
2.1%
Other values (284) 992
63.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1236
79.2%
Open Punctuation 76
 
4.9%
Close Punctuation 76
 
4.9%
Uppercase Letter 60
 
3.8%
Space Separator 52
 
3.3%
Lowercase Letter 36
 
2.3%
Decimal Number 14
 
0.9%
Other Punctuation 9
 
0.6%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 97
 
7.8%
스 59
 
4.8%
이 52
 
4.2%
트 49
 
4.0%
사 39
 
3.2%
프 35
 
2.8%
회 33
 
2.7%
식 32
 
2.6%
소 31
 
2.5%
인 21
 
1.7%
Other values (229) 788
63.8%
Uppercase Letter
ValueCountFrequency (%)
S 7
 
11.7%
I 5
 
8.3%
O 4
 
6.7%
T 4
 
6.7%
D 4
 
6.7%
E 4
 
6.7%
M 3
 
5.0%
Y 3
 
5.0%
A 3
 
5.0%
B 3
 
5.0%
Other values (12) 20
33.3%
Lowercase Letter
ValueCountFrequency (%)
o 5
13.9%
t 5
13.9%
c 3
8.3%
a 3
8.3%
e 3
8.3%
i 2
 
5.6%
k 2
 
5.6%
s 2
 
5.6%
f 2
 
5.6%
r 2
 
5.6%
Other values (7) 7
19.4%
Decimal Number
ValueCountFrequency (%)
0 5
35.7%
3 2
 
14.3%
8 2
 
14.3%
4 1
 
7.1%
1 1
 
7.1%
2 1
 
7.1%
9 1
 
7.1%
6 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
. 6
66.7%
& 1
 
11.1%
% 1
 
11.1%
, 1
 
11.1%
Open Punctuation
ValueCountFrequency (%)
( 76
100.0%
Close Punctuation
ValueCountFrequency (%)
) 76
100.0%
Space Separator
ValueCountFrequency (%)
52
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1236
79.2%
Common 228
 
14.6%
Latin 96
 
6.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 97
 
7.8%
스 59
 
4.8%
이 52
 
4.2%
트 49
 
4.0%
사 39
 
3.2%
프 35
 
2.8%
회 33
 
2.7%
식 32
 
2.6%
소 31
 
2.5%
인 21
 
1.7%
Other values (229) 788
63.8%
Latin
ValueCountFrequency (%)
S 7
 
7.3%
I 5
 
5.2%
o 5
 
5.2%
t 5
 
5.2%
O 4
 
4.2%
T 4
 
4.2%
D 4
 
4.2%
E 4
 
4.2%
M 3
 
3.1%
c 3
 
3.1%
Other values (29) 52
54.2%
Common
ValueCountFrequency (%)
( 76
33.3%
) 76
33.3%
52
22.8%
. 6
 
2.6%
0 5
 
2.2%
3 2
 
0.9%
8 2
 
0.9%
4 1
 
0.4%
1 1
 
0.4%
- 1
 
0.4%
Other values (6) 6
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1236
79.2%
ASCII 324
 
20.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 97
 
7.8%
스 59
 
4.8%
이 52
 
4.2%
트 49
 
4.0%
사 39
 
3.2%
프 35
 
2.8%
회 33
 
2.7%
식 32
 
2.6%
소 31
 
2.5%
인 21
 
1.7%
Other values (229) 788
63.8%
ASCII
ValueCountFrequency (%)
( 76
23.5%
) 76
23.5%
52
16.0%
S 7
 
2.2%
. 6
 
1.9%
I 5
 
1.5%
0 5
 
1.5%
o 5
 
1.5%
t 5
 
1.5%
O 4
 
1.2%
Other values (45) 83
25.6%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct220
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0147001 × 1013
Minimum2.007043 × 1013
Maximum2.0210611 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-04-18T16:59:00.635925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.007043 × 1013
5-th percentile2.0070808 × 1013
Q12.0110258 × 1013
median2.0150805 × 1013
Q32.0190306 × 1013
95-th percentile2.0210309 × 1013
Maximum2.0210611 × 1013
Range1.4018094 × 1011
Interquartile range (IQR)8.0047294 × 1010

Descriptive statistics

Standard deviation4.6005259 × 1010
Coefficient of variation (CV)0.0022834792
Kurtosis-1.1874952
Mean2.0147001 × 1013
Median Absolute Deviation (MAD)3.9797482 × 1010
Skewness-0.30818023
Sum4.4323403 × 1015
Variance2.1164839 × 1021
MonotonicityNot monotonic
2024-04-18T16:59:00.788619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20101104132359 1
 
0.5%
20110302134233 1
 
0.5%
20141022090851 1
 
0.5%
20140724100929 1
 
0.5%
20150127091114 1
 
0.5%
20140204163432 1
 
0.5%
20170125104406 1
 
0.5%
20200327112743 1
 
0.5%
20180619102403 1
 
0.5%
20171108170141 1
 
0.5%
Other values (210) 210
95.5%
ValueCountFrequency (%)
20070430150436 1
0.5%
20070703163054 1
0.5%
20070726130927 1
0.5%
20070726131009 1
0.5%
20070726131051 1
0.5%
20070808132538 1
0.5%
20070808140707 1
0.5%
20070808143412 1
0.5%
20070808144901 1
0.5%
20070808145628 1
0.5%
ValueCountFrequency (%)
20210611091758 1
0.5%
20210608085832 1
0.5%
20210528135440 1
0.5%
20210520153538 1
0.5%
20210514094824 1
0.5%
20210514091758 1
0.5%
20210512133135 1
0.5%
20210503113632 1
0.5%
20210409085406 1
0.5%
20210326094529 1
0.5%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
I
193 
U
27 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 193
87.7%
U 27
 
12.3%

Length

2024-04-18T16:59:00.920291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:59:01.027524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 193
87.7%
u 27
 
12.3%

데이터갱신일자
Date

Distinct61
Distinct (%)27.7%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum2018-08-31 23:59:59
Maximum2021-06-13 00:22:54
2024-04-18T16:59:01.179468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T16:59:01.372714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing220
Missing (%)100.0%
Memory size2.1 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct156
Distinct (%)73.9%
Missing9
Missing (%)4.1%
Infinite0
Infinite (%)0.0%
Mean343767.05
Minimum330188.03
Maximum355482.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-04-18T16:59:01.532753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum330188.03
5-th percentile336777.81
Q1342632.84
median344280.8
Q3346193.46
95-th percentile348301.38
Maximum355482.4
Range25294.378
Interquartile range (IQR)3560.6207

Descriptive statistics

Standard deviation3836.7424
Coefficient of variation (CV)0.011160879
Kurtosis1.8228941
Mean343767.05
Median Absolute Deviation (MAD)1780.0398
Skewness-0.37548174
Sum72534847
Variance14720592
MonotonicityNot monotonic
2024-04-18T16:59:01.671971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
342774.766132 13
 
5.9%
346671.596784 10
 
4.5%
342632.844135 7
 
3.2%
346675.629423 6
 
2.7%
345687.898519 5
 
2.3%
343959.823762 3
 
1.4%
343908.47526 3
 
1.4%
343918.932727 3
 
1.4%
344686.259338 3
 
1.4%
348665.873375 3
 
1.4%
Other values (146) 155
70.5%
(Missing) 9
 
4.1%
ValueCountFrequency (%)
330188.025284 1
0.5%
332041.965348 1
0.5%
333405.043635 1
0.5%
333415.217405 1
0.5%
334345.322515 1
0.5%
335106.257743 1
0.5%
335696.726933 1
0.5%
335724.138822 1
0.5%
335914.193392 1
0.5%
336249.114209 1
0.5%
ValueCountFrequency (%)
355482.402826 1
 
0.5%
355268.654288 1
 
0.5%
354755.033317 1
 
0.5%
354108.292989 1
 
0.5%
353862.969131 1
 
0.5%
352725.021343 1
 
0.5%
348898.124525 1
 
0.5%
348665.873375 3
1.4%
348375.293645 1
 
0.5%
348227.45681 1
 
0.5%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct156
Distinct (%)73.9%
Missing9
Missing (%)4.1%
Infinite0
Infinite (%)0.0%
Mean263554.23
Minimum239240.09
Maximum273228.66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-04-18T16:59:01.851212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum239240.09
5-th percentile259745.34
Q1262156.69
median263466.76
Q3264994.23
95-th percentile267154.72
Maximum273228.66
Range33988.573
Interquartile range (IQR)2837.5333

Descriptive statistics

Standard deviation2997.5585
Coefficient of variation (CV)0.011373593
Kurtosis20.25112
Mean263554.23
Median Absolute Deviation (MAD)1527.4682
Skewness-2.2125517
Sum55609943
Variance8985356.7
MonotonicityNot monotonic
2024-04-18T16:59:02.003798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
262912.887933 13
 
5.9%
264994.226366 10
 
4.5%
262643.902173 7
 
3.2%
264755.079985 6
 
2.7%
266987.666828 5
 
2.3%
264529.39356 3
 
1.4%
264557.544338 3
 
1.4%
266015.581633 3
 
1.4%
263958.880864 3
 
1.4%
262623.706996 3
 
1.4%
Other values (146) 155
70.5%
(Missing) 9
 
4.1%
ValueCountFrequency (%)
239240.086699 1
0.5%
257742.940368 1
0.5%
258151.149273 1
0.5%
258266.945111 1
0.5%
258485.190839 1
0.5%
258570.98584 1
0.5%
258803.907476 1
0.5%
259052.115282 1
0.5%
259239.566122 1
0.5%
259654.792081 1
0.5%
ValueCountFrequency (%)
273228.659246 1
 
0.5%
272600.063881 1
 
0.5%
270526.670797 1
 
0.5%
270013.374392 1
 
0.5%
269135.246601 3
1.4%
268476.874903 1
 
0.5%
268253.830253 1
 
0.5%
267912.114415 1
 
0.5%
267165.23181 1
 
0.5%
267144.208237 1
 
0.5%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
게임물제작업
220 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
게임물제작업 220
100.0%

Length

2024-04-18T16:59:02.174127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:59:02.279462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
게임물제작업 220
100.0%

문화사업자구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
유통관련업
220 

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 220
100.0%

Length

2024-04-18T16:59:02.379504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:59:02.488730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 220
100.0%

총층수
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)23.4%
Missing143
Missing (%)65.0%
Infinite0
Infinite (%)0.0%
Mean7.5844156
Minimum1
Maximum29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-04-18T16:59:02.606750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q38
95-th percentile25
Maximum29
Range28
Interquartile range (IQR)5

Descriptive statistics

Standard deviation6.7069301
Coefficient of variation (CV)0.88430414
Kurtosis1.8288852
Mean7.5844156
Median Absolute Deviation (MAD)2
Skewness1.6213273
Sum584
Variance44.982912
MonotonicityNot monotonic
2024-04-18T16:59:02.745521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
4 15
 
6.8%
5 12
 
5.5%
2 9
 
4.1%
3 9
 
4.1%
18 4
 
1.8%
7 4
 
1.8%
8 4
 
1.8%
25 3
 
1.4%
6 3
 
1.4%
13 3
 
1.4%
Other values (8) 11
 
5.0%
(Missing) 143
65.0%
ValueCountFrequency (%)
1 2
 
0.9%
2 9
4.1%
3 9
4.1%
4 15
6.8%
5 12
5.5%
6 3
 
1.4%
7 4
 
1.8%
8 4
 
1.8%
11 1
 
0.5%
12 3
 
1.4%
ValueCountFrequency (%)
29 1
 
0.5%
26 1
 
0.5%
25 3
1.4%
20 1
 
0.5%
18 4
1.8%
16 1
 
0.5%
15 1
 
0.5%
13 3
1.4%
12 3
1.4%
11 1
 
0.5%

주변환경명
Categorical

IMBALANCE 

Distinct7
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
169 
기타
37 
아파트지역
 
6
주택가주변
 
5
유흥업소밀집지역
 
1
Other values (2)
 
2

Length

Max length8
Median length4
Mean length3.7681818
Min length2

Unique

Unique3 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 169
76.8%
기타 37
 
16.8%
아파트지역 6
 
2.7%
주택가주변 5
 
2.3%
유흥업소밀집지역 1
 
0.5%
학교정화(절대) 1
 
0.5%
학교정화(상대) 1
 
0.5%

Length

2024-04-18T16:59:02.899955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:59:03.017660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 169
76.8%
기타 37
 
16.8%
아파트지역 6
 
2.7%
주택가주변 5
 
2.3%
유흥업소밀집지역 1
 
0.5%
학교정화(절대 1
 
0.5%
학교정화(상대 1
 
0.5%

제작취급품목내용
Text

Distinct109
Distinct (%)49.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-04-18T16:59:03.255166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length19
Mean length6.4636364
Min length2

Characters and Unicode

Total characters1422
Distinct characters120
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

Unique88 ?
Unique (%)40.0%

Sample

1st row게임물
2nd row게임제작
3rd row게임, 모바일 게임
4th row게임물
5th row온라인 게임
ValueCountFrequency (%)
게임물 46
 
15.6%
게임 29
 
9.8%
모바일게임 28
 
9.5%
모바일 14
 
4.7%
소프트웨어 14
 
4.7%
온라인게임 9
 
3.1%
온라인 9
 
3.1%
및 8
 
2.7%
아케이드게임 6
 
2.0%
게임제작 5
 
1.7%
Other values (96) 127
43.1%
2024-04-18T16:59:03.648493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
게 197
 
13.9%
임 197
 
13.9%
75
 
5.3%
일 64
 
4.5%
모 63
 
4.4%
바 63
 
4.4%
물 51
 
3.6%
인 42
 
3.0%
트 38
 
2.7%
라 37
 
2.6%
Other values (110) 595
41.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1250
87.9%
Space Separator 75
 
5.3%
Uppercase Letter 39
 
2.7%
Other Punctuation 36
 
2.5%
Close Punctuation 9
 
0.6%
Open Punctuation 9
 
0.6%
Decimal Number 2
 
0.1%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
게 197
15.8%
임 197
15.8%
일 64
 
5.1%
모 63
 
5.0%
바 63
 
5.0%
물 51
 
4.1%
인 42
 
3.4%
트 38
 
3.0%
라 37
 
3.0%
온 37
 
3.0%
Other values (88) 461
36.9%
Uppercase Letter
ValueCountFrequency (%)
R 8
20.5%
V 7
17.9%
C 7
17.9%
P 7
17.9%
W 2
 
5.1%
S 2
 
5.1%
D 1
 
2.6%
L 1
 
2.6%
A 1
 
2.6%
H 1
 
2.6%
Other values (2) 2
 
5.1%
Other Punctuation
ValueCountFrequency (%)
, 28
77.8%
/ 6
 
16.7%
& 2
 
5.6%
Decimal Number
ValueCountFrequency (%)
3 1
50.0%
5 1
50.0%
Lowercase Letter
ValueCountFrequency (%)
p 1
50.0%
c 1
50.0%
Space Separator
ValueCountFrequency (%)
75
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1250
87.9%
Common 131
 
9.2%
Latin 41
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
게 197
15.8%
임 197
15.8%
일 64
 
5.1%
모 63
 
5.0%
바 63
 
5.0%
물 51
 
4.1%
인 42
 
3.4%
트 38
 
3.0%
라 37
 
3.0%
온 37
 
3.0%
Other values (88) 461
36.9%
Latin
ValueCountFrequency (%)
R 8
19.5%
V 7
17.1%
C 7
17.1%
P 7
17.1%
W 2
 
4.9%
S 2
 
4.9%
D 1
 
2.4%
L 1
 
2.4%
p 1
 
2.4%
c 1
 
2.4%
Other values (4) 4
9.8%
Common
ValueCountFrequency (%)
75
57.3%
, 28
 
21.4%
) 9
 
6.9%
( 9
 
6.9%
/ 6
 
4.6%
& 2
 
1.5%
3 1
 
0.8%
5 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1250
87.9%
ASCII 172
 
12.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
게 197
15.8%
임 197
15.8%
일 64
 
5.1%
모 63
 
5.0%
바 63
 
5.0%
물 51
 
4.1%
인 42
 
3.4%
트 38
 
3.0%
라 37
 
3.0%
온 37
 
3.0%
Other values (88) 461
36.9%
ASCII
ValueCountFrequency (%)
75
43.6%
, 28
 
16.3%
) 9
 
5.2%
( 9
 
5.2%
R 8
 
4.7%
V 7
 
4.1%
C 7
 
4.1%
P 7
 
4.1%
/ 6
 
3.5%
& 2
 
1.2%
Other values (12) 14
 
8.1%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct154
Distinct (%)83.7%
Missing36
Missing (%)16.4%
Infinite0
Infinite (%)0.0%
Mean133.03772
Minimum0
Maximum3310
Zeros3
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-04-18T16:59:03.789743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q125.15
median70.805
Q3146.0975
95-th percentile446.3805
Maximum3310
Range3310
Interquartile range (IQR)120.9475

Descriptive statistics

Standard deviation277.52371
Coefficient of variation (CV)2.0860529
Kurtosis94.721933
Mean133.03772
Median Absolute Deviation (MAD)54.665
Skewness8.6248142
Sum24478.94
Variance77019.412
MonotonicityNot monotonic
2024-04-18T16:59:03.925831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0 12
 
5.5%
33.0 4
 
1.8%
30.0 3
 
1.4%
25.0 3
 
1.4%
0.0 3
 
1.4%
104.6 2
 
0.9%
8.0 2
 
0.9%
28.56 2
 
0.9%
16.0 2
 
0.9%
20.0 2
 
0.9%
Other values (144) 149
67.7%
(Missing) 36
 
16.4%
ValueCountFrequency (%)
0.0 3
 
1.4%
0.6 1
 
0.5%
1.0 12
5.5%
3.0 1
 
0.5%
3.3 2
 
0.9%
6.6 1
 
0.5%
7.36 1
 
0.5%
7.8 1
 
0.5%
8.0 2
 
0.9%
9.9 1
 
0.5%
ValueCountFrequency (%)
3310.0 1
0.5%
840.07 1
0.5%
816.22 1
0.5%
779.0 1
0.5%
632.0 1
0.5%
598.0 1
0.5%
500.0 1
0.5%
485.15 1
0.5%
447.28 1
0.5%
446.58 1
0.5%

지상층수
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)12.8%
Missing134
Missing (%)60.9%
Infinite0
Infinite (%)0.0%
Mean4.0930233
Minimum1
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-04-18T16:59:04.034457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2.5
Q34.75
95-th percentile12
Maximum15
Range14
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation3.6961917
Coefficient of variation (CV)0.90304684
Kurtosis0.84363728
Mean4.0930233
Median Absolute Deviation (MAD)1.5
Skewness1.4115667
Sum352
Variance13.661833
MonotonicityNot monotonic
2024-04-18T16:59:04.131179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2 24
 
10.9%
1 19
 
8.6%
3 12
 
5.5%
4 9
 
4.1%
8 7
 
3.2%
12 7
 
3.2%
5 3
 
1.4%
9 2
 
0.9%
14 1
 
0.5%
15 1
 
0.5%
(Missing) 134
60.9%
ValueCountFrequency (%)
1 19
8.6%
2 24
10.9%
3 12
5.5%
4 9
 
4.1%
5 3
 
1.4%
8 7
 
3.2%
9 2
 
0.9%
11 1
 
0.5%
12 7
 
3.2%
14 1
 
0.5%
ValueCountFrequency (%)
15 1
 
0.5%
14 1
 
0.5%
12 7
 
3.2%
11 1
 
0.5%
9 2
 
0.9%
8 7
 
3.2%
5 3
 
1.4%
4 9
 
4.1%
3 12
5.5%
2 24
10.9%

지하층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
205 
1
 
11
4
 
1
7
 
1
12
 
1

Length

Max length4
Median length4
Mean length3.8
Min length1

Unique

Unique4 ?
Unique (%)1.8%

Sample

1st row<NA>
2nd row<NA>
3rd row4
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 205
93.2%
1 11
 
5.0%
4 1
 
0.5%
7 1
 
0.5%
12 1
 
0.5%
2 1
 
0.5%

Length

2024-04-18T16:59:04.251160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:59:04.370883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 205
93.2%
1 11
 
5.0%
4 1
 
0.5%
7 1
 
0.5%
12 1
 
0.5%
2 1
 
0.5%

건물용도명
Categorical

IMBALANCE 

Distinct13
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
157 
근린생활시설
21 
사무실
 
13
교육연구시설
 
11
기타
 
6
Other values (8)
 
12

Length

Max length15
Median length4
Mean length4.2272727
Min length2

Unique

Unique7 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 157
71.4%
근린생활시설 21
 
9.5%
사무실 13
 
5.9%
교육연구시설 11
 
5.0%
기타 6
 
2.7%
단독주택 5
 
2.3%
문화시설 1
 
0.5%
판매시설 1
 
0.5%
숙박시설 1
 
0.5%
유통시설 1
 
0.5%
Other values (3) 3
 
1.4%

Length

2024-04-18T16:59:04.497084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 157
71.0%
근린생활시설 21
 
9.5%
사무실 13
 
5.9%
교육연구시설 11
 
5.0%
기타 6
 
2.7%
단독주택 5
 
2.3%
문화시설 1
 
0.5%
판매시설 1
 
0.5%
숙박시설 1
 
0.5%
유통시설 1
 
0.5%
Other values (4) 4
 
1.8%

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing220
Missing (%)100.0%
Memory size2.1 KiB

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing220
Missing (%)100.0%
Memory size2.1 KiB

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing220
Missing (%)100.0%
Memory size2.1 KiB

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing220
Missing (%)100.0%
Memory size2.1 KiB

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing220
Missing (%)100.0%
Memory size2.1 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing220
Missing (%)100.0%
Memory size2.1 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing220
Missing (%)100.0%
Memory size2.1 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing220
Missing (%)100.0%
Memory size2.1 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing220
Missing (%)100.0%
Memory size2.1 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing220
Missing (%)100.0%
Memory size2.1 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing220
Missing (%)100.0%
Memory size2.1 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing220
Missing (%)100.0%
Memory size2.1 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing220
Missing (%)100.0%
Memory size2.1 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing220
Missing (%)100.0%
Memory size2.1 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing220
Missing (%)100.0%
Memory size2.1 KiB

총게임기수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing220
Missing (%)100.0%
Memory size2.1 KiB

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing220
Missing (%)100.0%
Memory size2.1 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing220
Missing (%)100.0%
Memory size2.1 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing220
Missing (%)100.0%
Memory size2.1 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing220
Missing (%)100.0%
Memory size2.1 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing220
Missing (%)100.0%
Memory size2.1 KiB

지역구분명
Categorical

Distinct11
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
142 
일반주거지역
32 
중심상업지역
21 
일반상업지역
 
9
준주거지역
 
4
Other values (6)
 
12

Length

Max length6
Median length4
Mean length4.6272727
Min length4

Unique

Unique2 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 142
64.5%
일반주거지역 32
 
14.5%
중심상업지역 21
 
9.5%
일반상업지역 9
 
4.1%
준주거지역 4
 
1.8%
주거지역 3
 
1.4%
근린상업지역 3
 
1.4%
상업지역 2
 
0.9%
준공업지역 2
 
0.9%
일반공업지역 1
 
0.5%

Length

2024-04-18T16:59:05.053663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 142
64.5%
일반주거지역 32
 
14.5%
중심상업지역 21
 
9.5%
일반상업지역 9
 
4.1%
준주거지역 4
 
1.8%
주거지역 3
 
1.4%
근린상업지역 3
 
1.4%
상업지역 2
 
0.9%
준공업지역 2
 
0.9%
일반공업지역 1
 
0.5%

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
01게임물제작업03_05_02_P3410000CDFF224108200300000120030702201011024취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>(053)427-0500<NA>700180대구광역시 중구 동문동 *-**번지대구광역시 중구 교동*길 **-** (동문동)<NA>한양전자20101104132359I2018-08-31 23:59:59.0<NA>344471.562932264753.265278게임물제작업유통관련업<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>
12게임물제작업03_05_02_P3410000CDFF224108201900000120190108<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동*가 ***-**번지 *층대구광역시 중구 달구벌대로 ****, *층 (삼덕동*가)41948셈틀소프트주식회사20190108094217I2019-01-10 02:20:44.0<NA>344987.883062263711.710709게임물제작업유통관련업<NA><NA>게임제작216.02<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>
23게임물제작업03_05_02_P3410000CDFF224108201600000320160523<NA>3폐업3폐업20171107<NA><NA><NA><NA><NA><NA>대구광역시 중구 남산동 ****-**번지 *층대구광역시 중구 남산로 **-*, *층 (남산동)41978스타터 유한책임회사20171109091623I2018-08-31 23:59:59.0<NA>342854.118053263404.801719게임물제작업유통관련업4<NA>게임, 모바일 게임485.1514근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
34게임물제작업03_05_02_P3410000CDFF224108200200000320020515<NA>3폐업3폐업20050912<NA><NA><NA>(053)422-6030<NA>700170대구광역시 중구 완전동 *-**번지대구광역시 중구 교동*길 **-* (완전동)<NA>대경실업20070808171801I2018-08-31 23:59:59.0<NA>344406.597938264791.378242게임물제작업유통관련업<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>
45게임물제작업03_05_02_P3410000CDFF224108201100000220100618<NA>3폐업3폐업20140205<NA><NA><NA>07041381580<NA><NA>대구광역시 중구 동인동*가 ***번지 **태평아파트 *동 ***호대구광역시 중구 태평로 ***, *동 ***호 (동인동*가, 태평아파트)700754사이드빌(SIDEVIL)20140205121317I2018-08-31 23:59:59.0<NA>344618.224393264938.197473게임물제작업유통관련업<NA><NA>온라인 게임43.1214<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
56게임물제작업03_05_02_P3410000CDFF224108201100000120110127<NA>3폐업3폐업20150501<NA><NA><NA><NA><NA><NA>대구광역시 중구 완전동 *-**번지대구광역시 중구 교동*길 ** (완전동)41912국제전자20180206161329I2018-08-31 23:59:59.0<NA>344424.874177265100.963729게임물제작업유통관련업<NA><NA>전자게임기144.0<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>
67게임물제작업03_05_02_P3410000CDFF224108200900000120090626<NA>3폐업3폐업20120919<NA><NA><NA>053-254-8380<NA><NA>대구광역시 중구 남산동 ****-**번지대구광역시 중구 명덕로 ** (남산동)700836동글소프트20120919150504I2018-08-31 23:59:59.0<NA>342500.756548263200.567711게임물제작업유통관련업<NA><NA>pc게임177.71<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>
78게임물제작업03_05_02_P3410000CDFF224108200300000220030529<NA>3폐업3폐업20050912<NA><NA><NA>(053)254-7253<NA>700170대구광역시 중구 완전동 *-**번지대구광역시 중구 교동*길 **-** (완전동)<NA>부영전자20070808173421I2018-08-31 23:59:59.0<NA>344446.867181264761.79538게임물제작업유통관련업<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>
89게임물제작업03_05_02_P3410000CDFF224108200200000520021124<NA>3폐업3폐업20070126<NA><NA><NA>(053)422-4803<NA>700180대구광역시 중구 동문동 *-**번지대구광역시 중구 경상감영길 ***-* (동문동)<NA>로얄전자20070808180106I2018-08-31 23:59:59.0<NA>344446.219956264696.71715게임물제작업유통관련업<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>
910게임물제작업03_05_02_P3410000CDFF224108200200000420020923<NA>3폐업3폐업20050912<NA><NA><NA>(053)241-1119<NA>700743대구광역시 중구 동인동*가 ***-*번지 동화빌딩 *층대구광역시 중구 동덕로 *** (동인동*가,동화빌딩 *층)<NA>(주)케이티엠에스20070808172638I2018-08-31 23:59:59.0<NA>344864.509609264713.227959게임물제작업유통관련업<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
210211게임물제작업03_05_02_P3470000CDFF224108201100000120110621<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 송현동 ****-**번지 (*층)대구광역시 달서구 송현로 ***, *층 (송현동)427438.0-솔루션20111030144142I2018-08-31 23:59:59.0<NA>339474.911581259654.792081게임물제작업유통관련업<NA><NA>소프트웨어개발78.512<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
211212게임물제작업03_05_02_P3470000CDFF224108201000000120100205<NA>1영업/정상13영업중<NA><NA><NA><NA>0505-509-1500<NA><NA>대구광역시 달서구 진천동 ***-*번지 A동 (*층)대구광역시 달서구 진천로 ** (진천동,A동 (*층))<NA>(주)동헌20110120101042I2018-08-31 23:59:59.0<NA>337914.979019257742.940368게임물제작업유통관련업<NA><NA>게임물86.252<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
212213게임물제작업03_05_02_P3470000CDFF224108200800000120080204<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>704390대구광역시 달서구 유천동 ***-*번지대구광역시 달서구 월배로*길 ** (유천동)<NA>게임버스20080204135825I2018-08-31 23:59:59.0<NA>336931.697991258151.149273게임물제작업유통관련업<NA><NA>인터넷게임<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>준공업지역
213214게임물제작업03_05_02_P3470000CDFF224108200600000120060714<NA>1영업/정상13영업중<NA><NA><NA><NA>566-4888<NA>704937대구광역시 달서구 용산동 ***-**번지 용산하이츠 ***호대구광역시 달서구 용산큰못길 **-**, ***호 (용산동,용산하이츠)<NA>태건전자20080108133613I2018-08-31 23:59:59.0<NA>337814.707161263405.908055게임물제작업유통관련업<NA><NA>아케이드게임기<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>
214215게임물제작업03_05_02_P3470000CDFF224108200500000220051227<NA>1영업/정상13영업중<NA><NA><NA><NA>1688-5441<NA>704833대구광역시 달서구 월암동 ****번지 본관 *F,*F대구광역시 달서구 성서공단로 *** (월암동,본관 *F,*F)<NA>(주)올제20080108133559I2018-08-31 23:59:59.0<NA>336249.114209260423.280201게임물제작업유통관련업<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>
215216게임물제작업03_05_02_P3470000CDFF224108201500000220151103<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)42756태풍소프트20151105100634I2018-08-31 23:59:59.0<NA>337678.732425259052.115282게임물제작업유통관련업<NA><NA>아케이드게임14.4<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>
216217게임물제작업03_05_02_P3470000CDFF224108200800000420080819<NA>4취소/말소/만료/정지/중지35직권말소20110704<NA><NA><NA><NA><NA><NA>대구광역시 달서구 성당동 ***-*번지대구광역시 달서구 야외음악당로*길 * (성당동)<NA>낙원20110705101207I2018-08-31 23:59:59.0<NA>340270.575428261138.314676게임물제작업유통관련업<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>
217218게임물제작업03_05_02_P3480000CDFF224108200800000120080618<NA>3폐업3폐업20130426<NA><NA><NA><NA><NA><NA>대구광역시 달성군 하빈면 현내리 ***-**번지대구광역시 달성군 하빈면 하빈로**길 **-*711822서광WM시스템20130429085342I2018-08-31 23:59:59.0<NA>330188.025284267912.114415게임물제작업유통관련업<NA><NA>오락, 게임용기계제작500.01<NA>기타<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
218219게임물제작업03_05_02_P3480000CDFF224108201900000120190402<NA>1영업/정상13영업중<NA><NA><NA><NA>0536172100<NA><NA>대구광역시 달성군 유가읍 한정리 ***-*번지대구광역시 달성군 유가읍 달창로**길 **42992흑룡솔루션20190402180611I2019-04-04 02:20:12.0<NA>332041.965348239240.086699게임물제작업유통관련업<NA><NA>웹보드게임3310.0<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>
219220게임물제작업03_05_02_P3480000CDFF224108201900000220180703<NA>1영업/정상13영업중<NA><NA><NA><NA>0534220320<NA><NA>대구광역시 달성군 다사읍 세천리 ****-*번지대구광역시 달성군 다사읍 세천남로 **, *~*층42930주식회사파코웨어20190926162127I2019-09-27 02:22:37.0<NA>333415.217405264526.649705게임물제작업유통관련업5<NA>모바일,컴퓨터온라인게임371.12<NA>교육연구시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>녹지지역