Overview

Dataset statistics

Number of variables59
Number of observations247
Missing cells6534
Missing cells (%)44.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory122.7 KiB
Average record size in memory508.5 B

Variable types

Numeric8
Categorical17
Text8
DateTime5
Unsupported21

Dataset

Description23년05월_6270000_대구광역시_03_05_02_P_게임물제작업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000098096&dataSetDetailId=DDI_0000098132&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
문화체육업종명 has constant value ""Constant
문화사업자구분명 has constant value ""Constant
상세영업상태코드 is highly imbalanced (54.4%)Imbalance
상세영업상태명 is highly imbalanced (54.4%)Imbalance
주변환경명 is highly imbalanced (62.4%)Imbalance
건물용도명 is highly imbalanced (57.0%)Imbalance
인허가취소일자 has 241 (97.6%) missing valuesMissing
폐업일자 has 190 (76.9%) missing valuesMissing
휴업시작일자 has 247 (100.0%) missing valuesMissing
휴업종료일자 has 247 (100.0%) missing valuesMissing
재개업일자 has 247 (100.0%) missing valuesMissing
소재지전화 has 139 (56.3%) missing valuesMissing
소재지면적 has 247 (100.0%) missing valuesMissing
소재지우편번호 has 203 (82.2%) missing valuesMissing
도로명전체주소 has 5 (2.0%) missing valuesMissing
도로명우편번호 has 66 (26.7%) missing valuesMissing
업태구분명 has 247 (100.0%) missing valuesMissing
좌표정보(X) has 4 (1.6%) missing valuesMissing
좌표정보(Y) has 4 (1.6%) missing valuesMissing
총층수 has 138 (55.9%) missing valuesMissing
시설면적 has 36 (14.6%) missing valuesMissing
지상층수 has 128 (51.8%) missing valuesMissing
지하층수 has 193 (78.1%) missing valuesMissing
비상계단여부 has 247 (100.0%) missing valuesMissing
비상구여부 has 247 (100.0%) missing valuesMissing
자동환기여부 has 247 (100.0%) missing valuesMissing
청소년실여부 has 247 (100.0%) missing valuesMissing
특수조명여부 has 247 (100.0%) missing valuesMissing
방음시설여부 has 247 (100.0%) missing valuesMissing
비디오재생기명 has 247 (100.0%) missing valuesMissing
조명시설유무 has 247 (100.0%) missing valuesMissing
음향시설여부 has 247 (100.0%) missing valuesMissing
편의시설여부 has 247 (100.0%) missing valuesMissing
소방시설여부 has 247 (100.0%) missing valuesMissing
기존게임업외업종명 has 247 (100.0%) missing valuesMissing
제공게임물명 has 247 (100.0%) missing valuesMissing
공연장형태구분명 has 247 (100.0%) missing valuesMissing
품목명 has 247 (100.0%) missing valuesMissing
최초등록시점 has 247 (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 23 (9.3%) zerosZeros
시설면적 has 3 (1.2%) zerosZeros
지상층수 has 22 (8.9%) zerosZeros
지하층수 has 40 (16.2%) zerosZeros

Reproduction

Analysis started2023-12-10 17:49:12.110434
Analysis finished2023-12-10 17:49:13.855050
Duration1.74 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct247
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean124
Minimum1
Maximum247
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-11T02:49:13.993871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13.3
Q162.5
median124
Q3185.5
95-th percentile234.7
Maximum247
Range246
Interquartile range (IQR)123

Descriptive statistics

Standard deviation71.44695
Coefficient of variation (CV)0.57618508
Kurtosis-1.2
Mean124
Median Absolute Deviation (MAD)62
Skewness0
Sum30628
Variance5104.6667
MonotonicityStrictly increasing
2023-12-11T02:49:14.269492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
171 1
 
0.4%
158 1
 
0.4%
159 1
 
0.4%
160 1
 
0.4%
161 1
 
0.4%
162 1
 
0.4%
163 1
 
0.4%
164 1
 
0.4%
165 1
 
0.4%
Other values (237) 237
96.0%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
247 1
0.4%
246 1
0.4%
245 1
0.4%
244 1
0.4%
243 1
0.4%
242 1
0.4%
241 1
0.4%
240 1
0.4%
239 1
0.4%
238 1
0.4%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
게임물제작업
247 

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 247
100.0%

Length

2023-12-11T02:49:14.545252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:49:14.719706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
게임물제작업 247
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
03_05_02_P
247 

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 247
100.0%

Length

2023-12-11T02:49:14.912016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:49:15.078923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_05_02_p 247
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3439595.1
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-11T02:49:15.234785image/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 deviation21748.705
Coefficient of variation (CV)0.006323042
Kurtosis-1.326009
Mean3439595.1
Median Absolute Deviation (MAD)20000
Skewness0.052324482
Sum8.4958 × 108
Variance4.7300616 × 108
MonotonicityIncreasing
2023-12-11T02:49:15.445302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3420000 47
19.0%
3440000 47
19.0%
3410000 45
18.2%
3460000 39
15.8%
3470000 32
13.0%
3450000 26
10.5%
3480000 6
 
2.4%
3430000 5
 
2.0%
ValueCountFrequency (%)
3410000 45
18.2%
3420000 47
19.0%
3430000 5
 
2.0%
3440000 47
19.0%
3450000 26
10.5%
3460000 39
15.8%
3470000 32
13.0%
3480000 6
 
2.4%
ValueCountFrequency (%)
3480000 6
 
2.4%
3470000 32
13.0%
3460000 39
15.8%
3450000 26
10.5%
3440000 47
19.0%
3430000 5
 
2.0%
3420000 47
19.0%
3410000 45
18.2%

관리번호
Text

Distinct108
Distinct (%)43.7%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-11T02:49:15.803881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters4940
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

Unique44 ?
Unique (%)17.8%

Sample

1st rowCDFF2241081999000002
2nd rowCDFF2241082003000001
3rd rowCDFF2241082001000002
4th rowCDFF2241082002000002
5th rowCDFF2241082005000006
ValueCountFrequency (%)
cdff2241082021000001 8
 
3.2%
cdff2241082014000001 7
 
2.8%
cdff2241082015000001 6
 
2.4%
cdff2241082022000001 6
 
2.4%
cdff2241082009000001 6
 
2.4%
cdff2241082008000001 5
 
2.0%
cdff2241082019000001 5
 
2.0%
cdff2241082019000002 5
 
2.0%
cdff2241082020000001 5
 
2.0%
cdff2241082018000002 5
 
2.0%
Other values (98) 189
76.5%
2023-12-11T02:49:16.378979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1832
37.1%
2 895
18.1%
F 494
 
10.0%
1 492
 
10.0%
4 284
 
5.7%
8 275
 
5.6%
C 247
 
5.0%
D 247
 
5.0%
3 57
 
1.2%
5 35
 
0.7%
Other values (3) 82
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3952
80.0%
Uppercase Letter 988
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1832
46.4%
2 895
22.6%
1 492
 
12.4%
4 284
 
7.2%
8 275
 
7.0%
3 57
 
1.4%
5 35
 
0.9%
9 30
 
0.8%
7 29
 
0.7%
6 23
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
F 494
50.0%
C 247
25.0%
D 247
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3952
80.0%
Latin 988
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1832
46.4%
2 895
22.6%
1 492
 
12.4%
4 284
 
7.2%
8 275
 
7.0%
3 57
 
1.4%
5 35
 
0.9%
9 30
 
0.8%
7 29
 
0.7%
6 23
 
0.6%
Latin
ValueCountFrequency (%)
F 494
50.0%
C 247
25.0%
D 247
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4940
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1832
37.1%
2 895
18.1%
F 494
 
10.0%
1 492
 
10.0%
4 284
 
5.7%
8 275
 
5.6%
C 247
 
5.0%
D 247
 
5.0%
3 57
 
1.2%
5 35
 
0.7%
Other values (3) 82
 
1.7%

인허가일자
Date

Distinct237
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum1999-07-06 00:00:00
Maximum2023-02-23 00:00:00
2023-12-11T02:49:16.692319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:49:16.995245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Date

MISSING 

Distinct3
Distinct (%)50.0%
Missing241
Missing (%)97.6%
Memory size2.1 KiB
Minimum2007-07-26 00:00:00
Maximum2011-03-02 00:00:00
2023-12-11T02:49:17.221696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:49:17.947719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

영업상태구분코드
Categorical

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
1
184 
3
52 
4
 
11

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 184
74.5%
3 52
 
21.1%
4 11
 
4.5%

Length

2023-12-11T02:49:18.291227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:49:18.738389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 184
74.5%
3 52
 
21.1%
4 11
 
4.5%

영업상태명
Categorical

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
영업/정상
184 
폐업
52 
취소/말소/만료/정지/중지
 
11

Length

Max length14
Median length5
Mean length4.7692308
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 184
74.5%
폐업 52
 
21.1%
취소/말소/만료/정지/중지 11
 
4.5%

Length

2023-12-11T02:49:19.132650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:49:19.430084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 184
74.5%
폐업 52
 
21.1%
취소/말소/만료/정지/중지 11
 
4.5%

상세영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
13
184 
3
52 
35
 
5
31
 
3
30
 
3

Length

Max length2
Median length2
Mean length1.7894737
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 184
74.5%
3 52
 
21.1%
35 5
 
2.0%
31 3
 
1.2%
30 3
 
1.2%

Length

2023-12-11T02:49:19.726888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:49:19.981360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 184
74.5%
3 52
 
21.1%
35 5
 
2.0%
31 3
 
1.2%
30 3
 
1.2%

상세영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
영업중
184 
폐업
52 
직권말소
 
5
등록취소
 
3
허가취소
 
3

Length

Max length4
Median length3
Mean length2.8340081
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 184
74.5%
폐업 52
 
21.1%
직권말소 5
 
2.0%
등록취소 3
 
1.2%
허가취소 3
 
1.2%

Length

2023-12-11T02:49:20.250147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:49:20.516035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 184
74.5%
폐업 52
 
21.1%
직권말소 5
 
2.0%
등록취소 3
 
1.2%
허가취소 3
 
1.2%

폐업일자
Date

MISSING 

Distinct53
Distinct (%)93.0%
Missing190
Missing (%)76.9%
Memory size2.1 KiB
Minimum2005-09-12 00:00:00
Maximum2023-02-02 00:00:00
2023-12-11T02:49:20.755646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:49:21.048360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing247
Missing (%)100.0%
Memory size2.3 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing247
Missing (%)100.0%
Memory size2.3 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing247
Missing (%)100.0%
Memory size2.3 KiB

소재지전화
Text

MISSING 

Distinct106
Distinct (%)98.1%
Missing139
Missing (%)56.3%
Memory size2.1 KiB
2023-12-11T02:49:21.561472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length11.027778
Min length8

Characters and Unicode

Total characters1191
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 (%)96.3%

Sample

1st row(053)427-0500
2nd row(053)423-1839
3rd row(053)429-7311
4th row(053)423-8988
5th row(053)241-1119
ValueCountFrequency (%)
053 3
 
2.7%
053-214-6511 2
 
1.8%
053)423-1839 2
 
1.8%
0536172100 1
 
0.9%
070-7951-7931 1
 
0.9%
744-0240 1
 
0.9%
053-761-4486 1
 
0.9%
053-744-8467 1
 
0.9%
0536558055 1
 
0.9%
053-752-0456 1
 
0.9%
Other values (97) 97
87.4%
2023-12-11T02:49:22.326349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 176
14.8%
5 149
12.5%
- 143
12.0%
3 140
11.8%
2 111
9.3%
1 95
8.0%
4 89
7.5%
7 80
6.7%
6 64
 
5.4%
8 58
 
4.9%
Other values (6) 86
7.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1011
84.9%
Dash Punctuation 143
 
12.0%
Open Punctuation 16
 
1.3%
Close Punctuation 16
 
1.3%
Space Separator 3
 
0.3%
Math Symbol 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 176
17.4%
5 149
14.7%
3 140
13.8%
2 111
11.0%
1 95
9.4%
4 89
8.8%
7 80
7.9%
6 64
 
6.3%
8 58
 
5.7%
9 49
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 143
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 1191
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 176
14.8%
5 149
12.5%
- 143
12.0%
3 140
11.8%
2 111
9.3%
1 95
8.0%
4 89
7.5%
7 80
6.7%
6 64
 
5.4%
8 58
 
4.9%
Other values (6) 86
7.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1191
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 176
14.8%
5 149
12.5%
- 143
12.0%
3 140
11.8%
2 111
9.3%
1 95
8.0%
4 89
7.5%
7 80
6.7%
6 64
 
5.4%
8 58
 
4.9%
Other values (6) 86
7.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing247
Missing (%)100.0%
Memory size2.3 KiB

소재지우편번호
Text

MISSING 

Distinct32
Distinct (%)72.7%
Missing203
Missing (%)82.2%
Memory size2.1 KiB
2023-12-11T02:49:22.669086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters308
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)56.8%

Sample

1st row700-802
2nd row700-180
3rd row700-423
4th row700-412
5th row700-170
ValueCountFrequency (%)
700-170 6
 
13.6%
700-423 3
 
6.8%
700-804 2
 
4.5%
700-180 2
 
4.5%
704-833 2
 
4.5%
706-808 2
 
4.5%
700-412 2
 
4.5%
704-807 1
 
2.3%
706-840 1
 
2.3%
706-823 1
 
2.3%
Other values (22) 22
50.0%
2023-12-11T02:49:23.309198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 92
29.9%
7 55
17.9%
- 44
14.3%
8 26
 
8.4%
1 22
 
7.1%
4 21
 
6.8%
3 15
 
4.9%
6 15
 
4.9%
2 12
 
3.9%
9 4
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 264
85.7%
Dash Punctuation 44
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 92
34.8%
7 55
20.8%
8 26
 
9.8%
1 22
 
8.3%
4 21
 
8.0%
3 15
 
5.7%
6 15
 
5.7%
2 12
 
4.5%
9 4
 
1.5%
5 2
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 308
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 92
29.9%
7 55
17.9%
- 44
14.3%
8 26
 
8.4%
1 22
 
7.1%
4 21
 
6.8%
3 15
 
4.9%
6 15
 
4.9%
2 12
 
3.9%
9 4
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 308
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 92
29.9%
7 55
17.9%
- 44
14.3%
8 26
 
8.4%
1 22
 
7.1%
4 21
 
6.8%
3 15
 
4.9%
6 15
 
4.9%
2 12
 
3.9%
9 4
 
1.3%

소재지전체주소
Text

Distinct194
Distinct (%)78.5%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-11T02:49:23.859185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length39
Mean length26.105263
Min length13

Characters and Unicode

Total characters6448
Distinct characters198
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

Unique165 ?
Unique (%)66.8%

Sample

1st row대구광역시 중구 남산동 ***-***번지
2nd row대구광역시 중구 동문동 *-**번지
3rd row대구광역시 중구 동인동*가 **번지
4th row대구광역시 중구 삼덕동*가 ***-*번지 진석타워 ****호
5th row대구광역시 중구 완전동 *-**번지
ValueCountFrequency (%)
대구광역시 247
20.4%
번지 183
15.1%
69
 
5.7%
호 49
 
4.0%
동구 47
 
3.9%
남구 47
 
3.9%
중구 45
 
3.7%
수성구 39
 
3.2%
신천동 39
 
3.2%
대명동 38
 
3.1%
Other values (158) 407
33.6%
2023-12-11T02:49:24.684236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1252
19.4%
1181
18.3%
구 528
 
8.2%
대 351
 
5.4%
동 316
 
4.9%
역 255
 
4.0%
광 252
 
3.9%
시 250
 
3.9%
지 215
 
3.3%
번 183
 
2.8%
Other values (188) 1665
25.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3768
58.4%
Other Punctuation 1255
 
19.5%
Space Separator 1181
 
18.3%
Dash Punctuation 182
 
2.8%
Uppercase Letter 47
 
0.7%
Close Punctuation 7
 
0.1%
Open Punctuation 7
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 528
14.0%
대 351
 
9.3%
동 316
 
8.4%
역 255
 
6.8%
광 252
 
6.7%
시 250
 
6.6%
지 215
 
5.7%
번 183
 
4.9%
성 64
 
1.7%
남 55
 
1.5%
Other values (165) 1299
34.5%
Uppercase Letter
ValueCountFrequency (%)
H 10
21.3%
L 9
19.1%
I 4
 
8.5%
D 4
 
8.5%
A 4
 
8.5%
C 3
 
6.4%
T 2
 
4.3%
F 2
 
4.3%
P 2
 
4.3%
W 1
 
2.1%
Other values (6) 6
12.8%
Other Punctuation
ValueCountFrequency (%)
* 1252
99.8%
, 3
 
0.2%
Space Separator
ValueCountFrequency (%)
1181
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 182
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3768
58.4%
Common 2633
40.8%
Latin 47
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 528
14.0%
대 351
 
9.3%
동 316
 
8.4%
역 255
 
6.8%
광 252
 
6.7%
시 250
 
6.6%
지 215
 
5.7%
번 183
 
4.9%
성 64
 
1.7%
남 55
 
1.5%
Other values (165) 1299
34.5%
Latin
ValueCountFrequency (%)
H 10
21.3%
L 9
19.1%
I 4
 
8.5%
D 4
 
8.5%
A 4
 
8.5%
C 3
 
6.4%
T 2
 
4.3%
F 2
 
4.3%
P 2
 
4.3%
W 1
 
2.1%
Other values (6) 6
12.8%
Common
ValueCountFrequency (%)
* 1252
47.6%
1181
44.9%
- 182
 
6.9%
) 7
 
0.3%
( 7
 
0.3%
, 3
 
0.1%
~ 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3768
58.4%
ASCII 2680
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1252
46.7%
1181
44.1%
- 182
 
6.8%
H 10
 
0.4%
L 9
 
0.3%
) 7
 
0.3%
( 7
 
0.3%
I 4
 
0.1%
D 4
 
0.1%
A 4
 
0.1%
Other values (13) 20
 
0.7%
Hangul
ValueCountFrequency (%)
구 528
14.0%
대 351
 
9.3%
동 316
 
8.4%
역 255
 
6.8%
광 252
 
6.7%
시 250
 
6.6%
지 215
 
5.7%
번 183
 
4.9%
성 64
 
1.7%
남 55
 
1.5%
Other values (165) 1299
34.5%

도로명전체주소
Text

MISSING 

Distinct214
Distinct (%)88.4%
Missing5
Missing (%)2.0%
Memory size2.1 KiB
2023-12-11T02:49:25.167812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length49
Mean length33.818182
Min length21

Characters and Unicode

Total characters8184
Distinct characters243
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

Unique200 ?
Unique (%)82.6%

Sample

1st row대구광역시 중구 교동*길 **-** (동문동)
2nd row대구광역시 중구 동덕로**길 ** (동인동*가)
3rd row대구광역시 중구 동덕로 ***, ****호 (삼덕동*가,진석타워)
4th row대구광역시 중구 교동*길 ** (완전동)
5th row대구광역시 중구 동덕로 *** (동인동*가,동화빌딩 *층)
ValueCountFrequency (%)
251
 
15.9%
대구광역시 242
 
15.4%
호 107
 
6.8%
층 96
 
6.1%
동구 47
 
3.0%
남구 45
 
2.9%
중구 44
 
2.8%
신천동 39
 
2.5%
수성구 38
 
2.4%
대명동 33
 
2.1%
Other values (283) 632
40.2%
2023-12-11T02:49:25.956366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1389
17.0%
* 1386
16.9%
구 570
 
7.0%
대 420
 
5.1%
동 391
 
4.8%
시 253
 
3.1%
역 251
 
3.1%
광 248
 
3.0%
, 248
 
3.0%
) 240
 
2.9%
Other values (233) 2788
34.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4599
56.2%
Other Punctuation 1635
 
20.0%
Space Separator 1389
 
17.0%
Close Punctuation 240
 
2.9%
Open Punctuation 240
 
2.9%
Uppercase Letter 45
 
0.5%
Dash Punctuation 33
 
0.4%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 570
 
12.4%
대 420
 
9.1%
동 391
 
8.5%
시 253
 
5.5%
역 251
 
5.5%
광 248
 
5.4%
로 234
 
5.1%
호 120
 
2.6%
층 108
 
2.3%
길 92
 
2.0%
Other values (211) 1912
41.6%
Uppercase Letter
ValueCountFrequency (%)
L 9
20.0%
H 9
20.0%
A 6
13.3%
I 5
11.1%
T 4
8.9%
D 3
 
6.7%
F 2
 
4.4%
W 1
 
2.2%
S 1
 
2.2%
C 1
 
2.2%
Other values (4) 4
8.9%
Other Punctuation
ValueCountFrequency (%)
* 1386
84.8%
, 248
 
15.2%
& 1
 
0.1%
Space Separator
ValueCountFrequency (%)
1389
100.0%
Close Punctuation
ValueCountFrequency (%)
) 240
100.0%
Open Punctuation
ValueCountFrequency (%)
( 240
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4599
56.2%
Common 3540
43.3%
Latin 45
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 570
 
12.4%
대 420
 
9.1%
동 391
 
8.5%
시 253
 
5.5%
역 251
 
5.5%
광 248
 
5.4%
로 234
 
5.1%
호 120
 
2.6%
층 108
 
2.3%
길 92
 
2.0%
Other values (211) 1912
41.6%
Latin
ValueCountFrequency (%)
L 9
20.0%
H 9
20.0%
A 6
13.3%
I 5
11.1%
T 4
8.9%
D 3
 
6.7%
F 2
 
4.4%
W 1
 
2.2%
S 1
 
2.2%
C 1
 
2.2%
Other values (4) 4
8.9%
Common
ValueCountFrequency (%)
1389
39.2%
* 1386
39.2%
, 248
 
7.0%
) 240
 
6.8%
( 240
 
6.8%
- 33
 
0.9%
~ 3
 
0.1%
& 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4599
56.2%
ASCII 3585
43.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1389
38.7%
* 1386
38.7%
, 248
 
6.9%
) 240
 
6.7%
( 240
 
6.7%
- 33
 
0.9%
L 9
 
0.3%
H 9
 
0.3%
A 6
 
0.2%
I 5
 
0.1%
Other values (12) 20
 
0.6%
Hangul
ValueCountFrequency (%)
구 570
 
12.4%
대 420
 
9.1%
동 391
 
8.5%
시 253
 
5.5%
역 251
 
5.5%
광 248
 
5.4%
로 234
 
5.1%
호 120
 
2.6%
층 108
 
2.3%
길 92
 
2.0%
Other values (211) 1912
41.6%

도로명우편번호
Text

MISSING 

Distinct98
Distinct (%)54.1%
Missing66
Missing (%)26.7%
Memory size2.1 KiB
2023-12-11T02:49:26.478420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0773481
Min length5

Characters and Unicode

Total characters919
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique80 ?
Unique (%)44.2%

Sample

1st row700-836
2nd row41912
3rd row700-754
4th row41978
5th row41937
ValueCountFrequency (%)
42403 21
 
11.6%
41260 20
 
11.0%
41256 13
 
7.2%
42250 7
 
3.9%
41566 7
 
3.9%
41937 5
 
2.8%
41585 4
 
2.2%
41484 3
 
1.7%
41912 3
 
1.7%
42612 2
 
1.1%
Other values (88) 96
53.0%
2023-12-11T02:49:27.285457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 245
26.7%
2 153
16.6%
1 134
14.6%
0 88
 
9.6%
6 70
 
7.6%
5 69
 
7.5%
3 46
 
5.0%
9 40
 
4.4%
7 38
 
4.1%
8 29
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 912
99.2%
Dash Punctuation 7
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 245
26.9%
2 153
16.8%
1 134
14.7%
0 88
 
9.6%
6 70
 
7.7%
5 69
 
7.6%
3 46
 
5.0%
9 40
 
4.4%
7 38
 
4.2%
8 29
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 919
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 245
26.7%
2 153
16.6%
1 134
14.6%
0 88
 
9.6%
6 70
 
7.6%
5 69
 
7.5%
3 46
 
5.0%
9 40
 
4.4%
7 38
 
4.1%
8 29
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 919
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 245
26.7%
2 153
16.6%
1 134
14.6%
0 88
 
9.6%
6 70
 
7.6%
5 69
 
7.5%
3 46
 
5.0%
9 40
 
4.4%
7 38
 
4.1%
8 29
 
3.2%

사업장명
Text

Distinct243
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-11T02:49:27.766764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length15
Mean length7.2105263
Min length2

Characters and Unicode

Total characters1781
Distinct characters311
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

Unique239 ?
Unique (%)96.8%

Sample

1st row대림산업
2nd row한양전자
3rd row세명전기통신
4th rowE.Q시스템
5th row하이앤드
ValueCountFrequency (%)
주식회사 37
 
11.7%
소프트 3
 
0.9%
다모아 2
 
0.6%
주)씨온플러스 2
 
0.6%
부성 2
 
0.6%
푸딩 2
 
0.6%
inc 2
 
0.6%
휴즈넷 2
 
0.6%
스튜디오 2
 
0.6%
제이제이기술 1
 
0.3%
Other values (261) 261
82.6%
2023-12-11T02:49:28.519231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 113
 
6.3%
( 82
 
4.6%
) 82
 
4.6%
69
 
3.9%
스 67
 
3.8%
이 55
 
3.1%
트 54
 
3.0%
사 50
 
2.8%
회 44
 
2.5%
식 43
 
2.4%
Other values (301) 1122
63.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1414
79.4%
Open Punctuation 82
 
4.6%
Close Punctuation 82
 
4.6%
Space Separator 69
 
3.9%
Uppercase Letter 63
 
3.5%
Lowercase Letter 42
 
2.4%
Decimal Number 18
 
1.0%
Other Punctuation 10
 
0.6%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 113
 
8.0%
스 67
 
4.7%
이 55
 
3.9%
트 54
 
3.8%
사 50
 
3.5%
회 44
 
3.1%
식 43
 
3.0%
프 39
 
2.8%
소 34
 
2.4%
디 24
 
1.7%
Other values (244) 891
63.0%
Uppercase Letter
ValueCountFrequency (%)
S 7
 
11.1%
I 5
 
7.9%
Y 4
 
6.3%
O 4
 
6.3%
T 4
 
6.3%
L 4
 
6.3%
E 4
 
6.3%
D 4
 
6.3%
M 3
 
4.8%
B 3
 
4.8%
Other values (13) 21
33.3%
Lowercase Letter
ValueCountFrequency (%)
o 5
11.9%
t 5
11.9%
c 4
9.5%
i 4
9.5%
k 3
 
7.1%
n 3
 
7.1%
e 3
 
7.1%
a 3
 
7.1%
s 2
 
4.8%
r 2
 
4.8%
Other values (7) 8
19.0%
Decimal Number
ValueCountFrequency (%)
0 6
33.3%
4 3
16.7%
3 2
 
11.1%
8 2
 
11.1%
1 1
 
5.6%
7 1
 
5.6%
9 1
 
5.6%
6 1
 
5.6%
2 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
. 7
70.0%
& 1
 
10.0%
, 1
 
10.0%
% 1
 
10.0%
Open Punctuation
ValueCountFrequency (%)
( 82
100.0%
Close Punctuation
ValueCountFrequency (%)
) 82
100.0%
Space Separator
ValueCountFrequency (%)
69
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1414
79.4%
Common 262
 
14.7%
Latin 105
 
5.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 113
 
8.0%
스 67
 
4.7%
이 55
 
3.9%
트 54
 
3.8%
사 50
 
3.5%
회 44
 
3.1%
식 43
 
3.0%
프 39
 
2.8%
소 34
 
2.4%
디 24
 
1.7%
Other values (244) 891
63.0%
Latin
ValueCountFrequency (%)
S 7
 
6.7%
o 5
 
4.8%
t 5
 
4.8%
I 5
 
4.8%
Y 4
 
3.8%
c 4
 
3.8%
i 4
 
3.8%
O 4
 
3.8%
T 4
 
3.8%
L 4
 
3.8%
Other values (30) 59
56.2%
Common
ValueCountFrequency (%)
( 82
31.3%
) 82
31.3%
69
26.3%
. 7
 
2.7%
0 6
 
2.3%
4 3
 
1.1%
3 2
 
0.8%
8 2
 
0.8%
- 1
 
0.4%
1 1
 
0.4%
Other values (7) 7
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1414
79.4%
ASCII 367
 
20.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 113
 
8.0%
스 67
 
4.7%
이 55
 
3.9%
트 54
 
3.8%
사 50
 
3.5%
회 44
 
3.1%
식 43
 
3.0%
프 39
 
2.8%
소 34
 
2.4%
디 24
 
1.7%
Other values (244) 891
63.0%
ASCII
ValueCountFrequency (%)
( 82
22.3%
) 82
22.3%
69
18.8%
. 7
 
1.9%
S 7
 
1.9%
0 6
 
1.6%
o 5
 
1.4%
t 5
 
1.4%
I 5
 
1.4%
Y 4
 
1.1%
Other values (47) 95
25.9%

최종수정시점
Date

UNIQUE 

Distinct247
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum2007-04-30 15:04:36
Maximum2023-05-16 17:10:28
2023-12-11T02:49:28.798704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:49:29.057816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
I
195 
U
52 

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 195
78.9%
U 52
 
21.1%

Length

2023-12-11T02:49:29.283314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:49:29.469694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 195
78.9%
u 52
 
21.1%

데이터갱신일자
Date

Distinct88
Distinct (%)35.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum2018-08-31 23:59:59
Maximum2023-05-18 02:40:00
2023-12-11T02:49:29.686603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:49:29.931978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing247
Missing (%)100.0%
Memory size2.3 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct173
Distinct (%)71.2%
Missing4
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean344045.68
Minimum330188.03
Maximum355482.44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-11T02:49:30.191930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum330188.03
5-th percentile336301.04
Q1342632.84
median344426.97
Q3346671.6
95-th percentile351431.02
Maximum355482.44
Range25294.41
Interquartile range (IQR)4038.7526

Descriptive statistics

Standard deviation4072.9328
Coefficient of variation (CV)0.011838349
Kurtosis1.3623902
Mean344045.68
Median Absolute Deviation (MAD)2159.0226
Skewness-0.4063413
Sum83603100
Variance16588781
MonotonicityNot monotonic
2023-12-11T02:49:30.434721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
342632.844134809 21
 
8.5%
346674.97751655 15
 
6.1%
346671.596783715 8
 
3.2%
345687.898519588 5
 
2.0%
344686.25933796 4
 
1.6%
343959.823762185 4
 
1.6%
343877.448102742 4
 
1.6%
343908.475260436 3
 
1.2%
348665.873374859 3
 
1.2%
346618.515720656 3
 
1.2%
Other values (163) 173
70.0%
(Missing) 4
 
1.6%
ValueCountFrequency (%)
330188.025284198 1
0.4%
331916.550581425 1
0.4%
332001.760059921 1
0.4%
333404.409170363 1
0.4%
333415.217404758 1
0.4%
334345.322515099 1
0.4%
334458.087365177 1
0.4%
335106.257742959 1
0.4%
335302.816427806 1
0.4%
335696.726932615 1
0.4%
ValueCountFrequency (%)
355482.435571958 1
0.4%
355268.644911885 1
0.4%
354755.033316725 1
0.4%
354121.680352647 1
0.4%
353862.969131308 1
0.4%
352725.021342838 1
0.4%
352029.766745041 1
0.4%
351947.673906674 1
0.4%
351810.244375008 2
0.8%
351807.202495813 1
0.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct173
Distinct (%)71.2%
Missing4
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean263389.48
Minimum239193.19
Maximum273228.66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-11T02:49:30.676116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum239193.19
5-th percentile259658.25
Q1261835.63
median263446.23
Q3264797.45
95-th percentile267053.93
Maximum273228.66
Range34035.466
Interquartile range (IQR)2961.8183

Descriptive statistics

Standard deviation3020.6525
Coefficient of variation (CV)0.011468387
Kurtosis17.487016
Mean263389.48
Median Absolute Deviation (MAD)1471.0167
Skewness-2.0641836
Sum64003643
Variance9124341.3
MonotonicityNot monotonic
2023-12-11T02:49:30.931421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
262643.90217311 21
 
8.5%
264766.863984298 15
 
6.1%
264994.226365535 8
 
3.2%
266987.666828016 5
 
2.0%
263958.880864104 4
 
1.6%
264529.393559855 4
 
1.6%
266003.475373434 4
 
1.6%
264557.544338407 3
 
1.2%
262623.70699613 3
 
1.2%
264999.946288491 3
 
1.2%
Other values (163) 173
70.0%
(Missing) 4
 
1.6%
ValueCountFrequency (%)
239193.193196123 1
0.4%
251324.379472137 1
0.4%
257113.502178327 1
0.4%
257742.940368398 1
0.4%
258151.149272947 1
0.4%
258266.94511126 1
0.4%
258485.190839316 1
0.4%
258524.55493558 1
0.4%
258570.985840377 1
0.4%
258803.907476465 1
0.4%
ValueCountFrequency (%)
273228.659245823 1
 
0.4%
272600.06388059 1
 
0.4%
270526.670796571 1
 
0.4%
270013.374391896 1
 
0.4%
269520.061029551 1
 
0.4%
269135.246601313 3
1.2%
268476.874902975 1
 
0.4%
268253.830252935 1
 
0.4%
267912.11441476 1
 
0.4%
267165.231809859 1
 
0.4%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
게임물제작업
247 

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 247
100.0%

Length

2023-12-11T02:49:31.184252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:49:31.342553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
게임물제작업 247
100.0%

문화사업자구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
유통관련업
247 

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 247
100.0%

Length

2023-12-11T02:49:31.535947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:49:31.719062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 247
100.0%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct21
Distinct (%)19.3%
Missing138
Missing (%)55.9%
Infinite0
Infinite (%)0.0%
Mean6.1834862
Minimum0
Maximum29
Zeros23
Zeros (%)9.3%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-11T02:49:32.004500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q37
95-th percentile21.2
Maximum29
Range29
Interquartile range (IQR)5

Descriptive statistics

Standard deviation6.7893778
Coefficient of variation (CV)1.0979854
Kurtosis1.8507539
Mean6.1834862
Median Absolute Deviation (MAD)3
Skewness1.5633999
Sum674
Variance46.095651
MonotonicityNot monotonic
2023-12-11T02:49:32.261073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 23
 
9.3%
5 15
 
6.1%
4 15
 
6.1%
2 10
 
4.0%
3 9
 
3.6%
6 4
 
1.6%
7 4
 
1.6%
8 4
 
1.6%
18 4
 
1.6%
25 3
 
1.2%
Other values (11) 18
 
7.3%
(Missing) 138
55.9%
ValueCountFrequency (%)
0 23
9.3%
1 2
 
0.8%
2 10
4.0%
3 9
 
3.6%
4 15
6.1%
5 15
6.1%
6 4
 
1.6%
7 4
 
1.6%
8 4
 
1.6%
11 2
 
0.8%
ValueCountFrequency (%)
29 1
 
0.4%
26 1
 
0.4%
25 3
1.2%
22 1
 
0.4%
20 1
 
0.4%
18 4
1.6%
17 2
0.8%
16 1
 
0.4%
15 1
 
0.4%
13 3
1.2%

주변환경명
Categorical

IMBALANCE 

Distinct7
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
194 
기타
37 
주택가주변
 
7
아파트지역
 
6
유흥업소밀집지역
 
1
Other values (2)
 
2

Length

Max length8
Median length4
Mean length3.8016194
Min length2

Unique

Unique3 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 194
78.5%
기타 37
 
15.0%
주택가주변 7
 
2.8%
아파트지역 6
 
2.4%
유흥업소밀집지역 1
 
0.4%
학교정화(상대) 1
 
0.4%
학교정화(절대) 1
 
0.4%

Length

2023-12-11T02:49:32.588502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:49:32.868810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 194
78.5%
기타 37
 
15.0%
주택가주변 7
 
2.8%
아파트지역 6
 
2.4%
유흥업소밀집지역 1
 
0.4%
학교정화(상대 1
 
0.4%
학교정화(절대 1
 
0.4%

제작취급품목내용
Text

Distinct124
Distinct (%)50.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-11T02:49:33.364609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length24
Mean length6.7044534
Min length2

Characters and Unicode

Total characters1656
Distinct characters134
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

Unique104 ?
Unique (%)42.1%

Sample

1st row게임물
2nd row게임물
3rd row게임물
4th row게임물
5th row게임물
ValueCountFrequency (%)
게임물 46
 
13.2%
게임 38
 
10.9%
모바일게임 37
 
10.6%
소프트웨어 17
 
4.9%
모바일 17
 
4.9%
및 11
 
3.2%
온라인 10
 
2.9%
온라인게임 9
 
2.6%
게임제작 7
 
2.0%
아케이드게임 6
 
1.7%
Other values (110) 151
43.3%
2023-12-11T02:49:34.787152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
게 226
 
13.6%
임 226
 
13.6%
102
 
6.2%
일 76
 
4.6%
모 75
 
4.5%
바 75
 
4.5%
물 51
 
3.1%
인 44
 
2.7%
트 44
 
2.7%
프 41
 
2.5%
Other values (124) 696
42.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1438
86.8%
Space Separator 102
 
6.2%
Other Punctuation 45
 
2.7%
Uppercase Letter 45
 
2.7%
Close Punctuation 9
 
0.5%
Open Punctuation 9
 
0.5%
Lowercase Letter 6
 
0.4%
Decimal Number 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
게 226
15.7%
임 226
15.7%
일 76
 
5.3%
모 75
 
5.2%
바 75
 
5.2%
물 51
 
3.5%
인 44
 
3.1%
트 44
 
3.1%
프 41
 
2.9%
소 40
 
2.8%
Other values (102) 540
37.6%
Uppercase Letter
ValueCountFrequency (%)
R 9
20.0%
C 9
20.0%
P 9
20.0%
V 8
17.8%
S 2
 
4.4%
W 2
 
4.4%
D 1
 
2.2%
L 1
 
2.2%
A 1
 
2.2%
H 1
 
2.2%
Other values (2) 2
 
4.4%
Other Punctuation
ValueCountFrequency (%)
, 37
82.2%
/ 6
 
13.3%
& 2
 
4.4%
Lowercase Letter
ValueCountFrequency (%)
c 3
50.0%
p 3
50.0%
Decimal Number
ValueCountFrequency (%)
3 1
50.0%
5 1
50.0%
Space Separator
ValueCountFrequency (%)
102
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1438
86.8%
Common 167
 
10.1%
Latin 51
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
게 226
15.7%
임 226
15.7%
일 76
 
5.3%
모 75
 
5.2%
바 75
 
5.2%
물 51
 
3.5%
인 44
 
3.1%
트 44
 
3.1%
프 41
 
2.9%
소 40
 
2.8%
Other values (102) 540
37.6%
Latin
ValueCountFrequency (%)
R 9
17.6%
C 9
17.6%
P 9
17.6%
V 8
15.7%
c 3
 
5.9%
p 3
 
5.9%
S 2
 
3.9%
W 2
 
3.9%
D 1
 
2.0%
L 1
 
2.0%
Other values (4) 4
7.8%
Common
ValueCountFrequency (%)
102
61.1%
, 37
 
22.2%
) 9
 
5.4%
( 9
 
5.4%
/ 6
 
3.6%
& 2
 
1.2%
3 1
 
0.6%
5 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1438
86.8%
ASCII 218
 
13.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
게 226
15.7%
임 226
15.7%
일 76
 
5.3%
모 75
 
5.2%
바 75
 
5.2%
물 51
 
3.5%
인 44
 
3.1%
트 44
 
3.1%
프 41
 
2.9%
소 40
 
2.8%
Other values (102) 540
37.6%
ASCII
ValueCountFrequency (%)
102
46.8%
, 37
 
17.0%
R 9
 
4.1%
C 9
 
4.1%
P 9
 
4.1%
) 9
 
4.1%
( 9
 
4.1%
V 8
 
3.7%
/ 6
 
2.8%
c 3
 
1.4%
Other values (12) 17
 
7.8%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct178
Distinct (%)84.4%
Missing36
Missing (%)14.6%
Infinite0
Infinite (%)0.0%
Mean124.35332
Minimum0
Maximum3310
Zeros3
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-11T02:49:35.091371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q125.1
median64.98
Q3135.365
95-th percentile445.915
Maximum3310
Range3310
Interquartile range (IQR)110.265

Descriptive statistics

Standard deviation261.64839
Coefficient of variation (CV)2.1040725
Kurtosis105.57319
Mean124.35332
Median Absolute Deviation (MAD)47.62
Skewness9.0591875
Sum26238.55
Variance68459.881
MonotonicityNot monotonic
2023-12-11T02:49:35.396183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0 12
 
4.9%
30.0 5
 
2.0%
33.0 4
 
1.6%
25.0 3
 
1.2%
0.0 3
 
1.2%
3.3 2
 
0.8%
12.0 2
 
0.8%
46.2 2
 
0.8%
150.74 2
 
0.8%
45.0 2
 
0.8%
Other values (168) 174
70.4%
(Missing) 36
 
14.6%
ValueCountFrequency (%)
0.0 3
 
1.2%
0.6 1
 
0.4%
1.0 12
4.9%
1.2 1
 
0.4%
3.0 1
 
0.4%
3.3 2
 
0.8%
4.0 1
 
0.4%
6.6 1
 
0.4%
7.36 1
 
0.4%
7.8 1
 
0.4%
ValueCountFrequency (%)
3310.0 1
0.4%
840.07 1
0.4%
816.22 1
0.4%
779.0 1
0.4%
632.0 1
0.4%
598.0 1
0.4%
500.0 1
0.4%
485.15 1
0.4%
450.4 1
0.4%
447.28 1
0.4%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)11.8%
Missing128
Missing (%)51.8%
Infinite0
Infinite (%)0.0%
Mean3.3109244
Minimum0
Maximum15
Zeros22
Zeros (%)8.9%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-11T02:49:35.663022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile12
Maximum15
Range15
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.5931854
Coefficient of variation (CV)1.0852514
Kurtosis1.5280714
Mean3.3109244
Median Absolute Deviation (MAD)1
Skewness1.5269496
Sum394
Variance12.910981
MonotonicityNot monotonic
2023-12-11T02:49:35.913332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
2 26
 
10.5%
0 22
 
8.9%
1 20
 
8.1%
3 16
 
6.5%
4 11
 
4.5%
8 7
 
2.8%
12 7
 
2.8%
5 3
 
1.2%
9 2
 
0.8%
14 1
 
0.4%
Other values (4) 4
 
1.6%
(Missing) 128
51.8%
ValueCountFrequency (%)
0 22
8.9%
1 20
8.1%
2 26
10.5%
3 16
6.5%
4 11
4.5%
5 3
 
1.2%
7 1
 
0.4%
8 7
 
2.8%
9 2
 
0.8%
10 1
 
0.4%
ValueCountFrequency (%)
15 1
 
0.4%
14 1
 
0.4%
12 7
2.8%
11 1
 
0.4%
10 1
 
0.4%
9 2
 
0.8%
8 7
2.8%
7 1
 
0.4%
5 3
 
1.2%
4 11
4.5%

지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)11.1%
Missing193
Missing (%)78.1%
Infinite0
Infinite (%)0.0%
Mean0.64814815
Minimum0
Maximum12
Zeros40
Zeros (%)16.2%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-11T02:49:36.173208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.75
95-th percentile2.7
Maximum12
Range12
Interquartile range (IQR)0.75

Descriptive statistics

Standard deviation1.9441
Coefficient of variation (CV)2.9994686
Kurtosis23.996619
Mean0.64814815
Median Absolute Deviation (MAD)0
Skewness4.6633477
Sum35
Variance3.7795248
MonotonicityNot monotonic
2023-12-11T02:49:36.392736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 40
 
16.2%
1 10
 
4.0%
4 1
 
0.4%
7 1
 
0.4%
2 1
 
0.4%
12 1
 
0.4%
(Missing) 193
78.1%
ValueCountFrequency (%)
0 40
16.2%
1 10
 
4.0%
2 1
 
0.4%
4 1
 
0.4%
7 1
 
0.4%
12 1
 
0.4%
ValueCountFrequency (%)
12 1
 
0.4%
7 1
 
0.4%
4 1
 
0.4%
2 1
 
0.4%
1 10
 
4.0%
0 40
16.2%

건물용도명
Categorical

IMBALANCE 

Distinct13
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
178 
근린생활시설
24 
사무실
 
16
교육연구시설
 
11
기타
 
6
Other values (8)
 
12

Length

Max length15
Median length4
Mean length4.2145749
Min length2

Unique

Unique7 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 178
72.1%
근린생활시설 24
 
9.7%
사무실 16
 
6.5%
교육연구시설 11
 
4.5%
기타 6
 
2.4%
단독주택 5
 
2.0%
문화시설 1
 
0.4%
판매시설 1
 
0.4%
숙박시설 1
 
0.4%
유통시설 1
 
0.4%
Other values (3) 3
 
1.2%

Length

2023-12-11T02:49:36.648512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 178
71.8%
근린생활시설 24
 
9.7%
사무실 16
 
6.5%
교육연구시설 11
 
4.4%
기타 6
 
2.4%
단독주택 5
 
2.0%
문화시설 1
 
0.4%
판매시설 1
 
0.4%
숙박시설 1
 
0.4%
유통시설 1
 
0.4%
Other values (4) 4
 
1.6%

통로너비
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
207 
0
40 

Length

Max length4
Median length4
Mean length3.51417
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> 207
83.8%
0 40
 
16.2%

Length

2023-12-11T02:49:36.900213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:49:37.116076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 207
83.8%
0 40
 
16.2%

조명시설조도
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
207 
0
40 

Length

Max length4
Median length4
Mean length3.51417
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> 207
83.8%
0 40
 
16.2%

Length

2023-12-11T02:49:37.337770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:49:37.582878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 207
83.8%
0 40
 
16.2%

노래방실수
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
207 
0
40 

Length

Max length4
Median length4
Mean length3.51417
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> 207
83.8%
0 40
 
16.2%

Length

2023-12-11T02:49:37.835590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:49:38.078238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 207
83.8%
0 40
 
16.2%

청소년실수
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
207 
0
40 

Length

Max length4
Median length4
Mean length3.51417
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> 207
83.8%
0 40
 
16.2%

Length

2023-12-11T02:49:38.334371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:49:38.574154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 207
83.8%
0 40
 
16.2%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing247
Missing (%)100.0%
Memory size2.3 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing247
Missing (%)100.0%
Memory size2.3 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing247
Missing (%)100.0%
Memory size2.3 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing247
Missing (%)100.0%
Memory size2.3 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing247
Missing (%)100.0%
Memory size2.3 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing247
Missing (%)100.0%
Memory size2.3 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing247
Missing (%)100.0%
Memory size2.3 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing247
Missing (%)100.0%
Memory size2.3 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing247
Missing (%)100.0%
Memory size2.3 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing247
Missing (%)100.0%
Memory size2.3 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing247
Missing (%)100.0%
Memory size2.3 KiB

총게임기수
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
207 
0
40 

Length

Max length4
Median length4
Mean length3.51417
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> 207
83.8%
0 40
 
16.2%

Length

2023-12-11T02:49:38.877079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:49:39.294715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 207
83.8%
0 40
 
16.2%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing247
Missing (%)100.0%
Memory size2.3 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing247
Missing (%)100.0%
Memory size2.3 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing247
Missing (%)100.0%
Memory size2.3 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing247
Missing (%)100.0%
Memory size2.3 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing247
Missing (%)100.0%
Memory size2.3 KiB

지역구분명
Categorical

Distinct11
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
160 
일반주거지역
35 
중심상업지역
26 
일반상업지역
 
10
준주거지역
 
4
Other values (6)
 
12

Length

Max length6
Median length4
Mean length4.6315789
Min length4

Unique

Unique2 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 160
64.8%
일반주거지역 35
 
14.2%
중심상업지역 26
 
10.5%
일반상업지역 10
 
4.0%
준주거지역 4
 
1.6%
주거지역 3
 
1.2%
근린상업지역 3
 
1.2%
상업지역 2
 
0.8%
준공업지역 2
 
0.8%
일반공업지역 1
 
0.4%

Length

2023-12-11T02:49:39.614120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 160
64.8%
일반주거지역 35
 
14.2%
중심상업지역 26
 
10.5%
일반상업지역 10
 
4.0%
준주거지역 4
 
1.6%
주거지역 3
 
1.2%
근린상업지역 3
 
1.2%
상업지역 2
 
0.8%
준공업지역 2
 
0.8%
일반공업지역 1
 
0.4%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
01게임물제작업03_05_02_P3410000CDFF22410819990000021999-07-06<NA>3폐업3폐업2007-03-13<NA><NA><NA><NA><NA>700-802대구광역시 중구 남산동 ***-***번지<NA><NA>대림산업2007-08-08 18:13:10I2018-08-31 23:59:59<NA><NA><NA>게임물제작업유통관련업<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_P3410000CDFF22410820030000012003-07-022010-11-024취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>(053)427-0500<NA>700-180대구광역시 중구 동문동 *-**번지대구광역시 중구 교동*길 **-** (동문동)<NA>한양전자2010-11-04 13:23:59I2018-08-31 23:59:59<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>
23게임물제작업03_05_02_P3410000CDFF22410820010000022001-08-17<NA>3폐업3폐업2009-03-23<NA><NA><NA>(053)423-1839<NA>700-423대구광역시 중구 동인동*가 **번지대구광역시 중구 동덕로**길 ** (동인동*가)<NA>세명전기통신2009-03-27 09:20:11I2018-08-31 23:59:59<NA>345109.57412264622.295822게임물제작업유통관련업<NA><NA>게임물30.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
34게임물제작업03_05_02_P3410000CDFF22410820020000022002-02-15<NA>3폐업3폐업2005-09-12<NA><NA><NA>(053)429-7311<NA>700-412대구광역시 중구 삼덕동*가 ***-*번지 진석타워 ****호대구광역시 중구 동덕로 ***, ****호 (삼덕동*가,진석타워)<NA>E.Q시스템2007-08-08 17:12:32I2018-08-31 23:59:59<NA>344686.259338263958.880864게임물제작업유통관련업<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_P3410000CDFF22410820050000062005-03-30<NA>3폐업3폐업2007-02-08<NA><NA><NA>(053)423-8988<NA>700-170대구광역시 중구 완전동 *-**번지대구광역시 중구 교동*길 ** (완전동)<NA>하이앤드2007-08-08 18:06:35I2018-08-31 23:59:59<NA>344347.909696264790.508448게임물제작업유통관련업<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>
56게임물제작업03_05_02_P3410000CDFF22410820020000042002-09-23<NA>3폐업3폐업2005-09-12<NA><NA><NA>(053)241-1119<NA>700-743대구광역시 중구 동인동*가 ***-*번지 동화빌딩 *층대구광역시 중구 동덕로 *** (동인동*가,동화빌딩 *층)<NA>(주)케이티엠에스2007-08-08 17:26:38I2018-08-31 23:59:59<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>
67게임물제작업03_05_02_P3410000CDFF22410820020000052002-11-24<NA>3폐업3폐업2007-01-26<NA><NA><NA>(053)422-4803<NA>700-180대구광역시 중구 동문동 *-**번지대구광역시 중구 경상감영길 ***-* (동문동)<NA>로얄전자2007-08-08 18:01:06I2018-08-31 23:59:59<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>
78게임물제작업03_05_02_P3410000CDFF22410820030000022003-05-29<NA>3폐업3폐업2005-09-12<NA><NA><NA>(053)254-7253<NA>700-170대구광역시 중구 완전동 *-**번지대구광역시 중구 교동*길 **-** (완전동)<NA>부영전자2007-08-08 17:34:21I2018-08-31 23:59:59<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_P3410000CDFF22410820090000012009-06-26<NA>3폐업3폐업2012-09-19<NA><NA><NA>053-254-8380<NA><NA>대구광역시 중구 남산동 ****-**번지대구광역시 중구 명덕로 ** (남산동)700-836동글소프트2012-09-19 15:05:04I2018-08-31 23:59:59<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>
910게임물제작업03_05_02_P3410000CDFF22410820110000012011-01-27<NA>3폐업3폐업2015-05-01<NA><NA><NA><NA><NA><NA>대구광역시 중구 완전동 *-**번지대구광역시 중구 교동*길 ** (완전동)41912국제전자2018-02-06 16:13:29I2018-08-31 23:59:59<NA>344347.909696264790.508448게임물제작업유통관련업<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>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
237238게임물제작업03_05_02_P3470000CDFF22410820050000012005-06-142007-07-264취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA>656-4288<NA>704-360대구광역시 달서구 진천동 **-*번지 ,(진천동 **-*)대구광역시 달서구 월배로 *** (진천동,,(진천동 **-*))<NA>대중오락실2007-07-26 13:10:09I2018-08-31 23:59:59<NA>337931.265997258266.945111게임물제작업유통관련업<NA><NA>업소용게임<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>
238239게임물제작업03_05_02_P3470000CDFF22410820070000022007-12-20<NA>4취소/말소/만료/정지/중지35직권말소2015-07-23<NA><NA><NA>1644-4541<NA><NA>대구광역시 달서구 두류동 ****-*번지 향기빌 ***호대구광역시 달서구 파도고개로 **, ***호 (두류동,향기빌)<NA>주식회사 아이티아이엠2017-06-28 10:40:44I2018-08-31 23:59:59<NA>341740.592983262720.606389게임물제작업유통관련업<NA>기타모바일게임0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
239240게임물제작업03_05_02_P3470000CDFF22410820080000042008-08-19<NA>4취소/말소/만료/정지/중지35직권말소2011-07-04<NA><NA><NA><NA><NA><NA>대구광역시 달서구 성당동 ***-*번지대구광역시 달서구 야외음악당로*길 * (성당동)<NA>낙원2011-07-05 10:12:07I2018-08-31 23:59:59<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>
240241게임물제작업03_05_02_P3470000CDFF22410820150000032013-02-13<NA>3폐업3폐업2016-03-29<NA><NA><NA>053 2019994<NA><NA>대구광역시 달서구 본동 ***번지대구광역시 달서구 송현로 ***, *층 ***호 (본동, 대구공업대학)42734(주)에이오엠엔터테인먼트2016-03-29 14:33:58I2018-08-31 23:59:59<NA>339360.500539260479.646796게임물제작업유통관련업<NA><NA>소프트웨어 개발17.36<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>
241242게임물제작업03_05_02_P3480000CDFF22410820080000012008-06-18<NA>3폐업3폐업2013-04-26<NA><NA><NA><NA><NA><NA>대구광역시 달성군 하빈면 현내리 ***-**번지대구광역시 달성군 하빈면 하빈로**길 **-*711-822서광WM시스템2013-04-29 08:53:42I2018-08-31 23:59:59<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>
242243게임물제작업03_05_02_P3480000CDFF22410820190000012019-04-02<NA>1영업/정상13영업중<NA><NA><NA><NA>0536172100<NA><NA>대구광역시 달성군 유가읍 한정리 ***-*번지대구광역시 달성군 유가읍 달창로**길 **42992흑룡솔루션2019-04-02 18:06:11I2019-04-04 02:20:12<NA>332001.76006239193.193196게임물제작업유통관련업<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>
243244게임물제작업03_05_02_P3480000CDFF22410820220000012022-07-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 죽곡리 ***-* 강창하이츠대구광역시 달성군 다사읍 달구벌대로 ***, ***동 ****호 (강창하이츠)42915벤 빅 게임 스튜디오2022-07-27 17:26:01I2022-07-29 00:22:39<NA>331916.550581263290.230568게임물제작업유통관련업0<NA>모바일게임, pc게임15.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
244245게임물제작업03_05_02_P3480000CDFF22410820210000012021-09-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 가창면 옥분리 ***-*대구광역시 달성군 가창면 가창로**길 *-*42939파스텔2021-09-24 18:21:38I2021-09-26 00:22:48<NA>349067.008588251324.379472게임물제작업유통관련업0<NA>게임제작업41.5800<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
245246게임물제작업03_05_02_P3480000CDFF22410820220000022022-11-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 화원읍 천내리 **-*대구광역시 달성군 화원읍 화원로*길 **-**, 로즈빌 ***호42955푸르구르2022-11-09 17:54:57I2022-11-11 00:22:24<NA>335302.816428257113.502178게임물제작업유통관련업0<NA>게임30.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
246247게임물제작업03_05_02_P3480000CDFF22410820190000022018-07-03<NA>1영업/정상13영업중<NA><NA><NA><NA>0534220320<NA><NA>대구광역시 달성군 다사읍 세천리 ****-*번지대구광역시 달성군 다사읍 세천남로 **, *~*층42930주식회사파코웨어2019-09-26 16:21:27I2019-09-27 02:22:37<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