Overview

Dataset statistics

Number of variables59
Number of observations97
Missing cells2490
Missing cells (%)43.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory48.2 KiB
Average record size in memory509.4 B

Variable types

Numeric7
Categorical19
Text8
DateTime4
Unsupported21

Dataset

Description23년11월_6270000_대구광역시_03_05_01_P_게임물배급업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000101296&dataSetDetailId=DDI_0000101331&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 (51.9%)Imbalance
상세영업상태명 is highly imbalanced (51.9%)Imbalance
주변환경명 is highly imbalanced (55.1%)Imbalance
인허가취소일자 has 95 (97.9%) missing valuesMissing
폐업일자 has 72 (74.2%) missing valuesMissing
휴업시작일자 has 97 (100.0%) missing valuesMissing
휴업종료일자 has 97 (100.0%) missing valuesMissing
재개업일자 has 97 (100.0%) missing valuesMissing
소재지전화 has 69 (71.1%) missing valuesMissing
소재지면적 has 97 (100.0%) missing valuesMissing
소재지우편번호 has 84 (86.6%) missing valuesMissing
도로명전체주소 has 1 (1.0%) missing valuesMissing
도로명우편번호 has 27 (27.8%) missing valuesMissing
업태구분명 has 97 (100.0%) missing valuesMissing
좌표정보(X) has 1 (1.0%) missing valuesMissing
좌표정보(Y) has 1 (1.0%) missing valuesMissing
총층수 has 47 (48.5%) missing valuesMissing
시설면적 has 9 (9.3%) missing valuesMissing
지상층수 has 47 (48.5%) missing valuesMissing
비상계단여부 has 97 (100.0%) missing valuesMissing
비상구여부 has 97 (100.0%) missing valuesMissing
자동환기여부 has 97 (100.0%) missing valuesMissing
청소년실여부 has 97 (100.0%) missing valuesMissing
특수조명여부 has 97 (100.0%) missing valuesMissing
방음시설여부 has 97 (100.0%) missing valuesMissing
비디오재생기명 has 97 (100.0%) missing valuesMissing
조명시설유무 has 97 (100.0%) missing valuesMissing
음향시설여부 has 97 (100.0%) missing valuesMissing
편의시설여부 has 97 (100.0%) missing valuesMissing
소방시설여부 has 97 (100.0%) missing valuesMissing
기존게임업외업종명 has 97 (100.0%) missing valuesMissing
제공게임물명 has 97 (100.0%) missing valuesMissing
공연장형태구분명 has 97 (100.0%) missing valuesMissing
품목명 has 97 (100.0%) missing valuesMissing
최초등록시점 has 97 (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 10 (10.3%) zerosZeros
시설면적 has 1 (1.0%) zerosZeros
지상층수 has 8 (8.2%) zerosZeros

Reproduction

Analysis started2023-12-16 05:01:15.629342
Analysis finished2023-12-16 05:01:17.480772
Duration1.85 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct97
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49
Minimum1
Maximum97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1005.0 B
2023-12-16T05:01:17.820470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.8
Q125
median49
Q373
95-th percentile92.2
Maximum97
Range96
Interquartile range (IQR)48

Descriptive statistics

Standard deviation28.145456
Coefficient of variation (CV)0.57439705
Kurtosis-1.2
Mean49
Median Absolute Deviation (MAD)24
Skewness0
Sum4753
Variance792.16667
MonotonicityStrictly increasing
2023-12-16T05:01:18.372538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
74 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
69 1
 
1.0%
68 1
 
1.0%
67 1
 
1.0%
66 1
 
1.0%
65 1
 
1.0%
Other values (87) 87
89.7%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
97 1
1.0%
96 1
1.0%
95 1
1.0%
94 1
1.0%
93 1
1.0%
92 1
1.0%
91 1
1.0%
90 1
1.0%
89 1
1.0%
88 1
1.0%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size908.0 B
게임물배급업
97 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
게임물배급업 97
100.0%

Length

2023-12-16T05:01:19.022766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:01:19.534544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
게임물배급업 97
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size908.0 B
03_05_01_P
97 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
03_05_01_P 97
100.0%

Length

2023-12-16T05:01:19.827955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:01:20.340318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_05_01_p 97
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3444948.5
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1005.0 B
2023-12-16T05:01:20.971183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13420000
median3450000
Q33460000
95-th percentile3470000
Maximum3480000
Range70000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation20265.103
Coefficient of variation (CV)0.0058825562
Kurtosis-1.066792
Mean3444948.5
Median Absolute Deviation (MAD)10000
Skewness-0.27991801
Sum3.3416 × 108
Variance4.106744 × 108
MonotonicityIncreasing
2023-12-16T05:01:21.557535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3460000 21
21.6%
3440000 19
19.6%
3420000 16
16.5%
3470000 14
14.4%
3450000 13
13.4%
3410000 9
9.3%
3480000 3
 
3.1%
3430000 2
 
2.1%
ValueCountFrequency (%)
3410000 9
9.3%
3420000 16
16.5%
3430000 2
 
2.1%
3440000 19
19.6%
3450000 13
13.4%
3460000 21
21.6%
3470000 14
14.4%
3480000 3
 
3.1%
ValueCountFrequency (%)
3480000 3
 
3.1%
3470000 14
14.4%
3460000 21
21.6%
3450000 13
13.4%
3440000 19
19.6%
3430000 2
 
2.1%
3420000 16
16.5%
3410000 9
9.3%
Distinct49
Distinct (%)50.5%
Missing0
Missing (%)0.0%
Memory size908.0 B
2023-12-16T05:01:22.705126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1940
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)21.6%

Sample

1st rowCDFF2241121999000002
2nd rowCDFF2241122003000001
3rd rowCDFF2241121999000001
4th rowCDFF2241122001000001
5th rowCDFF2241122021000001
ValueCountFrequency (%)
cdff2241122011000001 5
 
5.2%
cdff2241122023000001 5
 
5.2%
cdff2241122010000001 4
 
4.1%
cdff2241122022000001 4
 
4.1%
cdff2241122014000001 4
 
4.1%
cdff2241122008000001 4
 
4.1%
cdff2241122015000001 4
 
4.1%
cdff2241122019000001 4
 
4.1%
cdff2241122012000001 3
 
3.1%
cdff2241122020000001 3
 
3.1%
Other values (39) 57
58.8%
2023-12-16T05:01:24.463388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 612
31.5%
2 443
22.8%
1 325
16.8%
F 194
 
10.0%
4 106
 
5.5%
C 97
 
5.0%
D 97
 
5.0%
3 23
 
1.2%
9 15
 
0.8%
8 11
 
0.6%
Other values (3) 17
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1552
80.0%
Uppercase Letter 388
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 612
39.4%
2 443
28.5%
1 325
20.9%
4 106
 
6.8%
3 23
 
1.5%
9 15
 
1.0%
8 11
 
0.7%
7 8
 
0.5%
5 5
 
0.3%
6 4
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
F 194
50.0%
C 97
25.0%
D 97
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1552
80.0%
Latin 388
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 612
39.4%
2 443
28.5%
1 325
20.9%
4 106
 
6.8%
3 23
 
1.5%
9 15
 
1.0%
8 11
 
0.7%
7 8
 
0.5%
5 5
 
0.3%
6 4
 
0.3%
Latin
ValueCountFrequency (%)
F 194
50.0%
C 97
25.0%
D 97
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1940
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 612
31.5%
2 443
22.8%
1 325
16.8%
F 194
 
10.0%
4 106
 
5.5%
C 97
 
5.0%
D 97
 
5.0%
3 23
 
1.2%
9 15
 
0.8%
8 11
 
0.6%
Other values (3) 17
 
0.9%
Distinct92
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Memory size908.0 B
Minimum1999-06-18 00:00:00
Maximum2023-11-07 00:00:00
2023-12-16T05:01:25.061985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T05:01:26.156866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Date

MISSING 

Distinct2
Distinct (%)100.0%
Missing95
Missing (%)97.9%
Memory size908.0 B
Minimum2007-07-26 00:00:00
Maximum2011-03-02 00:00:00
2023-12-16T05:01:27.138845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T05:01:28.022382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
Distinct3
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size908.0 B
1
70 
3
22 
4
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 70
72.2%
3 22
 
22.7%
4 5
 
5.2%

Length

2023-12-16T05:01:28.671816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:01:29.546349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 70
72.2%
3 22
 
22.7%
4 5
 
5.2%

영업상태명
Categorical

Distinct3
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size908.0 B
영업/정상
70 
폐업
22 
취소/말소/만료/정지/중지
 
5

Length

Max length14
Median length5
Mean length4.7835052
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 70
72.2%
폐업 22
 
22.7%
취소/말소/만료/정지/중지 5
 
5.2%

Length

2023-12-16T05:01:30.169221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:01:30.755102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 70
72.2%
폐업 22
 
22.7%
취소/말소/만료/정지/중지 5
 
5.2%

상세영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size908.0 B
13
70 
3
22 
35
 
3
31
 
1
30
 
1

Length

Max length2
Median length2
Mean length1.7731959
Min length1

Unique

Unique2 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
13 70
72.2%
3 22
 
22.7%
35 3
 
3.1%
31 1
 
1.0%
30 1
 
1.0%

Length

2023-12-16T05:01:31.913363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:01:32.716948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 70
72.2%
3 22
 
22.7%
35 3
 
3.1%
31 1
 
1.0%
30 1
 
1.0%

상세영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size908.0 B
영업중
70 
폐업
22 
직권말소
 
3
등록취소
 
1
허가취소
 
1

Length

Max length4
Median length3
Mean length2.8247423
Min length2

Unique

Unique2 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 70
72.2%
폐업 22
 
22.7%
직권말소 3
 
3.1%
등록취소 1
 
1.0%
허가취소 1
 
1.0%

Length

2023-12-16T05:01:33.905463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:01:34.607351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 70
72.2%
폐업 22
 
22.7%
직권말소 3
 
3.1%
등록취소 1
 
1.0%
허가취소 1
 
1.0%

폐업일자
Date

MISSING 

Distinct25
Distinct (%)100.0%
Missing72
Missing (%)74.2%
Memory size908.0 B
Minimum2005-09-12 00:00:00
Maximum2023-02-08 00:00:00
2023-12-16T05:01:35.482584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T05:01:36.283290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

소재지전화
Text

MISSING 

Distinct28
Distinct (%)100.0%
Missing69
Missing (%)71.1%
Memory size908.0 B
2023-12-16T05:01:37.419000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.678571
Min length8

Characters and Unicode

Total characters299
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)100.0%

Sample

1st row(053)953-0780
2nd row(053)421-1222
3rd row(053)217-5300
4th row(053)591-9500
5th row0539628605
ValueCountFrequency (%)
053-355-7337 1
 
3.4%
053-752-0456 1
 
3.4%
053-652-1971 1
 
3.4%
0536568480 1
 
3.4%
582-7201 1
 
3.4%
2019994 1
 
3.4%
053 1
 
3.4%
070-8813-8441 1
 
3.4%
053-753-2729 1
 
3.4%
053-746-7740 1
 
3.4%
Other values (19) 19
65.5%
2023-12-16T05:01:39.012788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 43
14.4%
0 38
12.7%
3 35
11.7%
- 35
11.7%
7 29
9.7%
1 25
8.4%
6 24
8.0%
2 21
7.0%
8 15
 
5.0%
4 13
 
4.3%
Other values (4) 21
7.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 255
85.3%
Dash Punctuation 35
 
11.7%
Open Punctuation 4
 
1.3%
Close Punctuation 4
 
1.3%
Space Separator 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 43
16.9%
0 38
14.9%
3 35
13.7%
7 29
11.4%
1 25
9.8%
6 24
9.4%
2 21
8.2%
8 15
 
5.9%
4 13
 
5.1%
9 12
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 299
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 43
14.4%
0 38
12.7%
3 35
11.7%
- 35
11.7%
7 29
9.7%
1 25
8.4%
6 24
8.0%
2 21
7.0%
8 15
 
5.0%
4 13
 
4.3%
Other values (4) 21
7.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 299
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 43
14.4%
0 38
12.7%
3 35
11.7%
- 35
11.7%
7 29
9.7%
1 25
8.4%
6 24
8.0%
2 21
7.0%
8 15
 
5.0%
4 13
 
4.3%
Other values (4) 21
7.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

소재지우편번호
Text

MISSING 

Distinct13
Distinct (%)100.0%
Missing84
Missing (%)86.6%
Memory size908.0 B
2023-12-16T05:01:39.828236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters91
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

Unique13 ?
Unique (%)100.0%

Sample

1st row700-170
2nd row700-809
3rd row700-423
4th row700-411
5th row700-421
ValueCountFrequency (%)
700-170 1
 
7.7%
700-809 1
 
7.7%
700-423 1
 
7.7%
700-411 1
 
7.7%
700-421 1
 
7.7%
705-817 1
 
7.7%
706-822 1
 
7.7%
706-801 1
 
7.7%
706-840 1
 
7.7%
706-823 1
 
7.7%
Other values (3) 3
23.1%
2023-12-16T05:01:41.430634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 24
26.4%
7 16
17.6%
- 13
14.3%
1 9
 
9.9%
8 7
 
7.7%
4 6
 
6.6%
2 6
 
6.6%
6 5
 
5.5%
9 2
 
2.2%
3 2
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 78
85.7%
Dash Punctuation 13
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 24
30.8%
7 16
20.5%
1 9
 
11.5%
8 7
 
9.0%
4 6
 
7.7%
2 6
 
7.7%
6 5
 
6.4%
9 2
 
2.6%
3 2
 
2.6%
5 1
 
1.3%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 91
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 24
26.4%
7 16
17.6%
- 13
14.3%
1 9
 
9.9%
8 7
 
7.7%
4 6
 
6.6%
2 6
 
6.6%
6 5
 
5.5%
9 2
 
2.2%
3 2
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 91
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 24
26.4%
7 16
17.6%
- 13
14.3%
1 9
 
9.9%
8 7
 
7.7%
4 6
 
6.6%
2 6
 
6.6%
6 5
 
5.5%
9 2
 
2.2%
3 2
 
2.2%
Distinct88
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Memory size908.0 B
2023-12-16T05:01:43.012806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length36
Mean length25.989691
Min length16

Characters and Unicode

Total characters2521
Distinct characters149
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique80 ?
Unique (%)82.5%

Sample

1st row대구광역시 중구 완전동 *-**번지
2nd row대구광역시 중구 대봉동 **-*번지 *층
3rd row대구광역시 중구 동인동*가 ***-**번지
4th row대구광역시 중구 동성로*가 **-**번지 교보생명빌딩 **층
5th row대구광역시 중구 대봉동 **-*
ValueCountFrequency (%)
대구광역시 97
20.3%
번지 71
14.9%
28
 
5.9%
21
 
4.4%
수성구 21
 
4.4%
남구 19
 
4.0%
동구 16
 
3.3%
달서구 14
 
2.9%
대명동 13
 
2.7%
북구 13
 
2.7%
Other values (91) 165
34.5%
2023-12-16T05:01:46.007664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 503
20.0%
464
18.4%
204
 
8.1%
131
 
5.2%
122
 
4.8%
100
 
4.0%
99
 
3.9%
99
 
3.9%
83
 
3.3%
- 72
 
2.9%
Other values (139) 644
25.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1465
58.1%
Other Punctuation 503
 
20.0%
Space Separator 464
 
18.4%
Dash Punctuation 72
 
2.9%
Uppercase Letter 7
 
0.3%
Close Punctuation 5
 
0.2%
Open Punctuation 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
204
13.9%
131
 
8.9%
122
 
8.3%
100
 
6.8%
99
 
6.8%
99
 
6.8%
83
 
5.7%
71
 
4.8%
33
 
2.3%
23
 
1.6%
Other values (131) 500
34.1%
Uppercase Letter
ValueCountFrequency (%)
H 3
42.9%
L 3
42.9%
B 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
* 503
100.0%
Space Separator
ValueCountFrequency (%)
464
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 72
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1465
58.1%
Common 1049
41.6%
Latin 7
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
204
13.9%
131
 
8.9%
122
 
8.3%
100
 
6.8%
99
 
6.8%
99
 
6.8%
83
 
5.7%
71
 
4.8%
33
 
2.3%
23
 
1.6%
Other values (131) 500
34.1%
Common
ValueCountFrequency (%)
* 503
48.0%
464
44.2%
- 72
 
6.9%
) 5
 
0.5%
( 5
 
0.5%
Latin
ValueCountFrequency (%)
H 3
42.9%
L 3
42.9%
B 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1465
58.1%
ASCII 1056
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 503
47.6%
464
43.9%
- 72
 
6.8%
) 5
 
0.5%
( 5
 
0.5%
H 3
 
0.3%
L 3
 
0.3%
B 1
 
0.1%
Hangul
ValueCountFrequency (%)
204
13.9%
131
 
8.9%
122
 
8.3%
100
 
6.8%
99
 
6.8%
99
 
6.8%
83
 
5.7%
71
 
4.8%
33
 
2.3%
23
 
1.6%
Other values (131) 500
34.1%

도로명전체주소
Text

MISSING 

Distinct91
Distinct (%)94.8%
Missing1
Missing (%)1.0%
Memory size908.0 B
2023-12-16T05:01:47.648449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length45
Mean length33.9375
Min length21

Characters and Unicode

Total characters3258
Distinct characters194
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique87 ?
Unique (%)90.6%

Sample

1st row대구광역시 중구 교동길 ***-** (완전동)
2nd row대구광역시 중구 동덕로 ** (대봉동,*층)
3rd row대구광역시 중구 국채보상로***길 ** (동인동*가)
4th row대구광역시 중구 국채보상로 *** (동성로*가,교보생명빌딩 **층)
5th row대구광역시 중구 동덕로 **-**, *,*층 (대봉동)
ValueCountFrequency (%)
99
 
15.9%
대구광역시 96
 
15.5%
43
 
6.9%
37
 
6.0%
수성구 20
 
3.2%
남구 19
 
3.1%
동구 16
 
2.6%
달서구 14
 
2.3%
북구 13
 
2.1%
대명동 11
 
1.8%
Other values (163) 253
40.7%
2023-12-16T05:01:49.617143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 550
16.9%
549
16.9%
220
 
6.8%
157
 
4.8%
145
 
4.5%
101
 
3.1%
, 100
 
3.1%
99
 
3.0%
98
 
3.0%
( 96
 
2.9%
Other values (184) 1143
35.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1839
56.4%
Other Punctuation 651
 
20.0%
Space Separator 549
 
16.9%
Open Punctuation 96
 
2.9%
Close Punctuation 96
 
2.9%
Dash Punctuation 15
 
0.5%
Uppercase Letter 12
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
220
 
12.0%
157
 
8.5%
145
 
7.9%
101
 
5.5%
99
 
5.4%
98
 
5.3%
93
 
5.1%
50
 
2.7%
45
 
2.4%
44
 
2.4%
Other values (169) 787
42.8%
Uppercase Letter
ValueCountFrequency (%)
H 3
25.0%
L 3
25.0%
B 1
 
8.3%
D 1
 
8.3%
R 1
 
8.3%
T 1
 
8.3%
I 1
 
8.3%
A 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
* 550
84.5%
, 100
 
15.4%
& 1
 
0.2%
Space Separator
ValueCountFrequency (%)
549
100.0%
Open Punctuation
ValueCountFrequency (%)
( 96
100.0%
Close Punctuation
ValueCountFrequency (%)
) 96
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1839
56.4%
Common 1407
43.2%
Latin 12
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
220
 
12.0%
157
 
8.5%
145
 
7.9%
101
 
5.5%
99
 
5.4%
98
 
5.3%
93
 
5.1%
50
 
2.7%
45
 
2.4%
44
 
2.4%
Other values (169) 787
42.8%
Latin
ValueCountFrequency (%)
H 3
25.0%
L 3
25.0%
B 1
 
8.3%
D 1
 
8.3%
R 1
 
8.3%
T 1
 
8.3%
I 1
 
8.3%
A 1
 
8.3%
Common
ValueCountFrequency (%)
* 550
39.1%
549
39.0%
, 100
 
7.1%
( 96
 
6.8%
) 96
 
6.8%
- 15
 
1.1%
& 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1839
56.4%
ASCII 1419
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 550
38.8%
549
38.7%
, 100
 
7.0%
( 96
 
6.8%
) 96
 
6.8%
- 15
 
1.1%
H 3
 
0.2%
L 3
 
0.2%
B 1
 
0.1%
D 1
 
0.1%
Other values (5) 5
 
0.4%
Hangul
ValueCountFrequency (%)
220
 
12.0%
157
 
8.5%
145
 
7.9%
101
 
5.5%
99
 
5.4%
98
 
5.3%
93
 
5.1%
50
 
2.7%
45
 
2.4%
44
 
2.4%
Other values (169) 787
42.8%

도로명우편번호
Text

MISSING 

Distinct55
Distinct (%)78.6%
Missing27
Missing (%)27.8%
Memory size908.0 B
2023-12-16T05:01:50.531344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.1142857
Min length5

Characters and Unicode

Total characters358
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

Unique50 ?
Unique (%)71.4%

Sample

1st row41952
2nd row41940
3rd row41915
4th row41108
5th row41256
ValueCountFrequency (%)
42403 7
 
10.0%
41260 6
 
8.6%
41256 3
 
4.3%
41243 2
 
2.9%
41125 2
 
2.9%
42718 1
 
1.4%
42053 1
 
1.4%
42011 1
 
1.4%
42691 1
 
1.4%
42060 1
 
1.4%
Other values (45) 45
64.3%
2023-12-16T05:01:52.465004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 95
26.5%
2 57
15.9%
1 51
14.2%
0 35
 
9.8%
5 35
 
9.8%
6 25
 
7.0%
3 21
 
5.9%
7 16
 
4.5%
8 10
 
2.8%
9 9
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 354
98.9%
Dash Punctuation 4
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 95
26.8%
2 57
16.1%
1 51
14.4%
0 35
 
9.9%
5 35
 
9.9%
6 25
 
7.1%
3 21
 
5.9%
7 16
 
4.5%
8 10
 
2.8%
9 9
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 358
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 95
26.5%
2 57
15.9%
1 51
14.2%
0 35
 
9.8%
5 35
 
9.8%
6 25
 
7.0%
3 21
 
5.9%
7 16
 
4.5%
8 10
 
2.8%
9 9
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 358
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 95
26.5%
2 57
15.9%
1 51
14.2%
0 35
 
9.8%
5 35
 
9.8%
6 25
 
7.0%
3 21
 
5.9%
7 16
 
4.5%
8 10
 
2.8%
9 9
 
2.5%
Distinct94
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size908.0 B
2023-12-16T05:01:53.662738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length7.0206186
Min length2

Characters and Unicode

Total characters681
Distinct characters180
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique92 ?
Unique (%)94.8%

Sample

1st row대명전자
2nd row(주)신디벨리
3rd row이지AMUSE
4th row주식회사 코그
5th row주식회사 원블레이즈
ValueCountFrequency (%)
주식회사 12
 
10.1%
다모아 3
 
2.5%
게임아시아 2
 
1.7%
휴즈넷 2
 
1.7%
게임 1
 
0.8%
두산전자 1
 
0.8%
험블로직게임즈 1
 
0.8%
세븐pc 1
 
0.8%
골프 1
 
0.8%
디지에스(dgs 1
 
0.8%
Other values (94) 94
79.0%
2023-12-16T05:01:56.443369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
47
 
6.9%
) 35
 
5.1%
( 35
 
5.1%
24
 
3.5%
22
 
3.2%
22
 
3.2%
20
 
2.9%
18
 
2.6%
16
 
2.3%
15
 
2.2%
Other values (170) 427
62.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 568
83.4%
Close Punctuation 35
 
5.1%
Open Punctuation 35
 
5.1%
Space Separator 22
 
3.2%
Uppercase Letter 16
 
2.3%
Decimal Number 4
 
0.6%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
47
 
8.3%
24
 
4.2%
22
 
3.9%
20
 
3.5%
18
 
3.2%
16
 
2.8%
15
 
2.6%
14
 
2.5%
12
 
2.1%
12
 
2.1%
Other values (150) 368
64.8%
Uppercase Letter
ValueCountFrequency (%)
C 2
12.5%
O 2
12.5%
S 2
12.5%
V 1
 
6.2%
P 1
 
6.2%
G 1
 
6.2%
D 1
 
6.2%
E 1
 
6.2%
U 1
 
6.2%
M 1
 
6.2%
Other values (3) 3
18.8%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
1 1
25.0%
4 1
25.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Space Separator
ValueCountFrequency (%)
22
100.0%
Lowercase Letter
ValueCountFrequency (%)
u 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 568
83.4%
Common 96
 
14.1%
Latin 17
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
47
 
8.3%
24
 
4.2%
22
 
3.9%
20
 
3.5%
18
 
3.2%
16
 
2.8%
15
 
2.6%
14
 
2.5%
12
 
2.1%
12
 
2.1%
Other values (150) 368
64.8%
Latin
ValueCountFrequency (%)
C 2
11.8%
O 2
11.8%
S 2
11.8%
V 1
 
5.9%
P 1
 
5.9%
G 1
 
5.9%
D 1
 
5.9%
u 1
 
5.9%
E 1
 
5.9%
U 1
 
5.9%
Other values (4) 4
23.5%
Common
ValueCountFrequency (%)
) 35
36.5%
( 35
36.5%
22
22.9%
2 2
 
2.1%
1 1
 
1.0%
4 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 568
83.4%
ASCII 113
 
16.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
47
 
8.3%
24
 
4.2%
22
 
3.9%
20
 
3.5%
18
 
3.2%
16
 
2.8%
15
 
2.6%
14
 
2.5%
12
 
2.1%
12
 
2.1%
Other values (150) 368
64.8%
ASCII
ValueCountFrequency (%)
) 35
31.0%
( 35
31.0%
22
19.5%
C 2
 
1.8%
O 2
 
1.8%
S 2
 
1.8%
2 2
 
1.8%
1 1
 
0.9%
V 1
 
0.9%
4 1
 
0.9%
Other values (10) 10
 
8.8%

최종수정시점
Date

UNIQUE 

Distinct97
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size908.0 B
Minimum2007-07-03 16:31:37
Maximum2023-11-07 16:59:56
2023-12-16T05:01:57.680509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T05:01:58.658445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size908.0 B
I
78 
U
19 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 78
80.4%
U 19
 
19.6%

Length

2023-12-16T05:01:59.596410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:02:00.227599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 78
80.4%
u 19
 
19.6%
Distinct34
Distinct (%)35.1%
Missing0
Missing (%)0.0%
Memory size908.0 B
2018-08-31 23:59:59
63 
2023-11-09 00:17:18
 
2
2023-06-14 00:19:49
 
1
2023-03-23 02:40:00
 
1
2022-11-09 02:40:00
 
1
Other values (29)
29 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique32 ?
Unique (%)33.0%

Sample

1st row2018-08-31 23:59:59
2nd row2018-08-31 23:59:59
3rd row2018-08-31 23:59:59
4th row2019-04-14 02:40:00
5th row2021-06-09 00:22:55

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59 63
64.9%
2023-11-09 00:17:18 2
 
2.1%
2023-06-14 00:19:49 1
 
1.0%
2023-03-23 02:40:00 1
 
1.0%
2022-11-09 02:40:00 1
 
1.0%
2023-01-07 00:40:32 1
 
1.0%
2020-07-26 02:40:00 1
 
1.0%
2022-05-15 02:40:00 1
 
1.0%
2022-02-18 00:22:37 1
 
1.0%
2021-01-27 02:40:00 1
 
1.0%
Other values (24) 24
 
24.7%

Length

2023-12-16T05:02:00.953441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 63
32.5%
23:59:59 63
32.5%
02:40:00 19
 
9.8%
2023-11-09 2
 
1.0%
00:17:18 2
 
1.0%
2019-04-14 1
 
0.5%
2022-07-29 1
 
0.5%
00:22:39 1
 
0.5%
2023-02-09 1
 
0.5%
2019-05-03 1
 
0.5%
Other values (40) 40
20.6%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct82
Distinct (%)85.4%
Missing1
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean343747.74
Minimum331916.55
Maximum354755.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1005.0 B
2023-12-16T05:02:01.894308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum331916.55
5-th percentile334909.59
Q1342566.72
median344517.28
Q3346467.69
95-th percentile349626.15
Maximum354755.03
Range22838.483
Interquartile range (IQR)3900.9716

Descriptive statistics

Standard deviation4420.2674
Coefficient of variation (CV)0.012859044
Kurtosis0.7487137
Mean343747.74
Median Absolute Deviation (MAD)1966.7425
Skewness-0.39988488
Sum32999783
Variance19538764
MonotonicityNot monotonic
2023-12-16T05:02:02.824607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
342632.844134809 7
 
7.2%
346674.97751655 3
 
3.1%
353862.969131308 2
 
2.1%
345641.188638134 2
 
2.1%
343318.955676373 2
 
2.1%
346677.868181036 2
 
2.1%
346969.129572158 2
 
2.1%
345435.63198312 2
 
2.1%
351810.244375008 1
 
1.0%
346779.272259141 1
 
1.0%
Other values (72) 72
74.2%
ValueCountFrequency (%)
331916.550581425 1
1.0%
333415.217404758 1
1.0%
334345.322515099 1
1.0%
334458.087365177 1
1.0%
334875.549386084 1
1.0%
334920.933623628 1
1.0%
335193.722934583 1
1.0%
335642.888398753 1
1.0%
335806.191872828 1
1.0%
336178.174638543 1
1.0%
ValueCountFrequency (%)
354755.033316725 1
1.0%
353862.969131308 2
2.1%
352725.021342838 1
1.0%
351810.244375008 1
1.0%
348898.12452537 1
1.0%
348666.821546739 1
1.0%
348665.873374859 1
1.0%
348070.291080726 1
1.0%
348032.167321125 1
1.0%
347464.052033169 1
1.0%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct82
Distinct (%)85.4%
Missing1
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean263364.23
Minimum257161.28
Maximum271327.71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1005.0 B
2023-12-16T05:02:03.792084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum257161.28
5-th percentile259738.46
Q1261409.02
median263097.09
Q3264780.4
95-th percentile268309.59
Maximum271327.71
Range14166.422
Interquartile range (IQR)3371.3881

Descriptive statistics

Standard deviation2665.8111
Coefficient of variation (CV)0.010122146
Kurtosis0.79277036
Mean263364.23
Median Absolute Deviation (MAD)1691.9249
Skewness0.5863029
Sum25282966
Variance7106549.1
MonotonicityNot monotonic
2023-12-16T05:02:04.558790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
262643.90217311 7
 
7.2%
264766.863984298 3
 
3.1%
265380.272887721 2
 
2.1%
261397.463751382 2
 
2.1%
266167.784875118 2
 
2.1%
264714.344433082 2
 
2.1%
265145.040121004 2
 
2.1%
259801.351092862 2
 
2.1%
260761.829490785 1
 
1.0%
260804.757519074 1
 
1.0%
Other values (72) 72
74.2%
ValueCountFrequency (%)
257161.284213836 1
1.0%
258226.476812856 1
1.0%
258570.985840377 1
1.0%
259052.115282206 1
1.0%
259549.788812776 1
1.0%
259801.351092862 2
2.1%
260244.108496674 1
1.0%
260454.423977706 1
1.0%
260479.646796183 1
1.0%
260526.965278405 1
1.0%
ValueCountFrequency (%)
271327.706448202 1
1.0%
270709.955960555 1
1.0%
270672.162722807 1
1.0%
269009.174968525 1
1.0%
268476.874902975 1
1.0%
268253.830252935 1
1.0%
267616.26889536 1
1.0%
266987.666828016 1
1.0%
266601.164356394 1
1.0%
266264.14783435 1
1.0%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size908.0 B
게임물배급업
97 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
게임물배급업 97
100.0%

Length

2023-12-16T05:02:05.654132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:02:06.402393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
게임물배급업 97
100.0%

문화사업자구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size908.0 B
유통관련업
97 

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 97
100.0%

Length

2023-12-16T05:02:07.303857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:02:08.103694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 97
100.0%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)28.0%
Missing47
Missing (%)48.5%
Infinite0
Infinite (%)0.0%
Mean4.28
Minimum0
Maximum20
Zeros10
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size1005.0 B
2023-12-16T05:02:08.380727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q35
95-th percentile14.55
Maximum20
Range20
Interquartile range (IQR)3

Descriptive statistics

Standard deviation4.6116091
Coefficient of variation (CV)1.0774788
Kurtosis3.070886
Mean4.28
Median Absolute Deviation (MAD)2
Skewness1.7976948
Sum214
Variance21.266939
MonotonicityNot monotonic
2023-12-16T05:02:08.769581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
2 11
 
11.3%
0 10
 
10.3%
4 9
 
9.3%
5 8
 
8.2%
1 2
 
2.1%
6 2
 
2.1%
20 1
 
1.0%
8 1
 
1.0%
15 1
 
1.0%
17 1
 
1.0%
Other values (4) 4
 
4.1%
(Missing) 47
48.5%
ValueCountFrequency (%)
0 10
10.3%
1 2
 
2.1%
2 11
11.3%
3 1
 
1.0%
4 9
9.3%
5 8
8.2%
6 2
 
2.1%
8 1
 
1.0%
12 1
 
1.0%
13 1
 
1.0%
ValueCountFrequency (%)
20 1
 
1.0%
17 1
 
1.0%
15 1
 
1.0%
14 1
 
1.0%
13 1
 
1.0%
12 1
 
1.0%
8 1
 
1.0%
6 2
 
2.1%
5 8
8.2%
4 9
9.3%

주변환경명
Categorical

IMBALANCE 

Distinct6
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size908.0 B
<NA>
76 
기타
10 
주택가주변
 
5
아파트지역
 
4
학교정화(절대)
 
1

Length

Max length8
Median length4
Mean length3.9690722
Min length2

Unique

Unique2 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 76
78.4%
기타 10
 
10.3%
주택가주변 5
 
5.2%
아파트지역 4
 
4.1%
학교정화(절대) 1
 
1.0%
학교정화(상대) 1
 
1.0%

Length

2023-12-16T05:02:09.280580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:02:09.920467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 76
78.4%
기타 10
 
10.3%
주택가주변 5
 
5.2%
아파트지역 4
 
4.1%
학교정화(절대 1
 
1.0%
학교정화(상대 1
 
1.0%
Distinct63
Distinct (%)64.9%
Missing0
Missing (%)0.0%
Memory size908.0 B
2023-12-16T05:02:10.724580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12
Mean length6.6185567
Min length2

Characters and Unicode

Total characters642
Distinct characters96
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)52.6%

Sample

1st row게임물
2nd row게임물
3rd row게임물
4th row게임물
5th row온라인게임
ValueCountFrequency (%)
게임 17
 
12.1%
게임물 12
 
8.6%
모바일게임 7
 
5.0%
모바일 6
 
4.3%
온라인게임 6
 
4.3%
아케이드 5
 
3.6%
아케이드게임 4
 
2.9%
소프트웨어 4
 
2.9%
온라인 3
 
2.1%
보드게임 3
 
2.1%
Other values (57) 73
52.1%
2023-12-16T05:02:12.296626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
87
 
13.6%
86
 
13.4%
43
 
6.7%
20
 
3.1%
19
 
3.0%
19
 
3.0%
18
 
2.8%
17
 
2.6%
17
 
2.6%
17
 
2.6%
Other values (86) 299
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 546
85.0%
Space Separator 43
 
6.7%
Uppercase Letter 22
 
3.4%
Other Punctuation 17
 
2.6%
Lowercase Letter 10
 
1.6%
Close Punctuation 2
 
0.3%
Open Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
87
 
15.9%
86
 
15.8%
20
 
3.7%
19
 
3.5%
19
 
3.5%
18
 
3.3%
17
 
3.1%
17
 
3.1%
17
 
3.1%
17
 
3.1%
Other values (70) 229
41.9%
Lowercase Letter
ValueCountFrequency (%)
a 3
30.0%
p 2
20.0%
i 2
20.0%
c 1
 
10.0%
l 1
 
10.0%
y 1
 
10.0%
Uppercase Letter
ValueCountFrequency (%)
C 6
27.3%
R 5
22.7%
V 5
22.7%
P 5
22.7%
D 1
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 16
94.1%
/ 1
 
5.9%
Space Separator
ValueCountFrequency (%)
43
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 546
85.0%
Common 64
 
10.0%
Latin 32
 
5.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
87
 
15.9%
86
 
15.8%
20
 
3.7%
19
 
3.5%
19
 
3.5%
18
 
3.3%
17
 
3.1%
17
 
3.1%
17
 
3.1%
17
 
3.1%
Other values (70) 229
41.9%
Latin
ValueCountFrequency (%)
C 6
18.8%
R 5
15.6%
V 5
15.6%
P 5
15.6%
a 3
9.4%
p 2
 
6.2%
i 2
 
6.2%
c 1
 
3.1%
l 1
 
3.1%
y 1
 
3.1%
Common
ValueCountFrequency (%)
43
67.2%
, 16
 
25.0%
) 2
 
3.1%
( 2
 
3.1%
/ 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 546
85.0%
ASCII 96
 
15.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
87
 
15.9%
86
 
15.8%
20
 
3.7%
19
 
3.5%
19
 
3.5%
18
 
3.3%
17
 
3.1%
17
 
3.1%
17
 
3.1%
17
 
3.1%
Other values (70) 229
41.9%
ASCII
ValueCountFrequency (%)
43
44.8%
, 16
 
16.7%
C 6
 
6.2%
R 5
 
5.2%
V 5
 
5.2%
P 5
 
5.2%
a 3
 
3.1%
p 2
 
2.1%
i 2
 
2.1%
) 2
 
2.1%
Other values (6) 7
 
7.3%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct80
Distinct (%)90.9%
Missing9
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean92.006023
Minimum0
Maximum840.07
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1005.0 B
2023-12-16T05:02:13.011657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.2275
Q126.3325
median57.905
Q3108.195
95-th percentile268.9615
Maximum840.07
Range840.07
Interquartile range (IQR)81.8625

Descriptive statistics

Standard deviation113.95812
Coefficient of variation (CV)1.2385941
Kurtosis20.732863
Mean92.006023
Median Absolute Deviation (MAD)42
Skewness3.6947223
Sum8096.53
Variance12986.452
MonotonicityNot monotonic
2023-12-16T05:02:13.908257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0 4
 
4.1%
33.0 3
 
3.1%
105.6 2
 
2.1%
30.0 2
 
2.1%
3.3 2
 
2.1%
156.29 1
 
1.0%
140.92 1
 
1.0%
100.0 1
 
1.0%
66.1 1
 
1.0%
310.63 1
 
1.0%
Other values (70) 70
72.2%
(Missing) 9
 
9.3%
ValueCountFrequency (%)
0.0 1
 
1.0%
1.0 4
4.1%
1.65 1
 
1.0%
3.3 2
2.1%
8.0 1
 
1.0%
9.0 1
 
1.0%
10.11 1
 
1.0%
12.0 1
 
1.0%
13.44 1
 
1.0%
14.4 1
 
1.0%
ValueCountFrequency (%)
840.07 1
1.0%
342.18 1
1.0%
310.63 1
1.0%
307.65 1
1.0%
272.71 1
1.0%
262.0 1
1.0%
232.18 1
1.0%
232.02 1
1.0%
214.58 1
1.0%
212.62 1
1.0%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)18.0%
Missing47
Missing (%)48.5%
Infinite0
Infinite (%)0.0%
Mean2.38
Minimum0
Maximum9
Zeros8
Zeros (%)8.2%
Negative0
Negative (%)0.0%
Memory size1005.0 B
2023-12-16T05:02:14.440030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile7.1
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.1370397
Coefficient of variation (CV)0.89791585
Kurtosis1.8152434
Mean2.38
Median Absolute Deviation (MAD)1
Skewness1.3355485
Sum119
Variance4.5669388
MonotonicityNot monotonic
2023-12-16T05:02:14.877328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 13
 
13.4%
2 10
 
10.3%
0 8
 
8.2%
3 7
 
7.2%
4 6
 
6.2%
8 2
 
2.1%
5 2
 
2.1%
9 1
 
1.0%
6 1
 
1.0%
(Missing) 47
48.5%
ValueCountFrequency (%)
0 8
8.2%
1 13
13.4%
2 10
10.3%
3 7
7.2%
4 6
6.2%
5 2
 
2.1%
6 1
 
1.0%
8 2
 
2.1%
9 1
 
1.0%
ValueCountFrequency (%)
9 1
 
1.0%
8 2
 
2.1%
6 1
 
1.0%
5 2
 
2.1%
4 6
6.2%
3 7
7.2%
2 10
10.3%
1 13
13.4%
0 8
8.2%

지하층수
Categorical

Distinct3
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size908.0 B
<NA>
73 
0
17 
1
 
7

Length

Max length4
Median length4
Mean length3.257732
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> 73
75.3%
0 17
 
17.5%
1 7
 
7.2%

Length

2023-12-16T05:02:15.661468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:02:16.644400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 73
75.3%
0 17
 
17.5%
1 7
 
7.2%

건물용도명
Categorical

Distinct9
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Memory size908.0 B
<NA>
67 
근린생활시설
14 
사무실
 
5
단독주택
 
4
교육연구시설
 
3
Other values (4)
 
4

Length

Max length15
Median length4
Mean length4.4020619
Min length2

Unique

Unique4 ?
Unique (%)4.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 67
69.1%
근린생활시설 14
 
14.4%
사무실 5
 
5.2%
단독주택 4
 
4.1%
교육연구시설 3
 
3.1%
판매시설 1
 
1.0%
다가구용 주택(공동주택적용) 1
 
1.0%
기타 1
 
1.0%
다세대주택 1
 
1.0%

Length

2023-12-16T05:02:17.566751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:02:18.600198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 67
68.4%
근린생활시설 14
 
14.3%
사무실 5
 
5.1%
단독주택 4
 
4.1%
교육연구시설 3
 
3.1%
판매시설 1
 
1.0%
다가구용 1
 
1.0%
주택(공동주택적용 1
 
1.0%
기타 1
 
1.0%
다세대주택 1
 
1.0%

통로너비
Categorical

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size908.0 B
<NA>
79 
0
18 

Length

Max length4
Median length4
Mean length3.443299
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> 79
81.4%
0 18
 
18.6%

Length

2023-12-16T05:02:19.893104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:02:20.681076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 79
81.4%
0 18
 
18.6%
Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size908.0 B
<NA>
79 
0
18 

Length

Max length4
Median length4
Mean length3.443299
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> 79
81.4%
0 18
 
18.6%

Length

2023-12-16T05:02:21.724490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:02:22.209450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 79
81.4%
0 18
 
18.6%

노래방실수
Categorical

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size908.0 B
<NA>
79 
0
18 

Length

Max length4
Median length4
Mean length3.443299
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> 79
81.4%
0 18
 
18.6%

Length

2023-12-16T05:02:22.787499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:02:23.255851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 79
81.4%
0 18
 
18.6%

청소년실수
Categorical

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size908.0 B
<NA>
79 
0
18 

Length

Max length4
Median length4
Mean length3.443299
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> 79
81.4%
0 18
 
18.6%

Length

2023-12-16T05:02:24.057538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:02:24.789918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 79
81.4%
0 18
 
18.6%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

총게임기수
Categorical

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size908.0 B
<NA>
79 
0
18 

Length

Max length4
Median length4
Mean length3.443299
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> 79
81.4%
0 18
 
18.6%

Length

2023-12-16T05:02:25.580482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:02:26.156679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 79
81.4%
0 18
 
18.6%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

지역구분명
Categorical

Distinct10
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size908.0 B
<NA>
62 
일반주거지역
15 
일반상업지역
 
5
주거지역
 
4
준주거지역
 
3
Other values (5)

Length

Max length6
Median length4
Mean length4.5773196
Min length4

Unique

Unique3 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 62
63.9%
일반주거지역 15
 
15.5%
일반상업지역 5
 
5.2%
주거지역 4
 
4.1%
준주거지역 3
 
3.1%
중심상업지역 3
 
3.1%
근린상업지역 2
 
2.1%
상업지역 1
 
1.0%
준공업지역 1
 
1.0%
자연녹지지역 1
 
1.0%

Length

2023-12-16T05:02:27.113031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:02:28.032321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 62
63.9%
일반주거지역 15
 
15.5%
일반상업지역 5
 
5.2%
주거지역 4
 
4.1%
준주거지역 3
 
3.1%
중심상업지역 3
 
3.1%
근린상업지역 2
 
2.1%
상업지역 1
 
1.0%
준공업지역 1
 
1.0%
자연녹지지역 1
 
1.0%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
01게임물배급업03_05_01_P3410000CDFF22411219990000021999-06-18<NA>3폐업3폐업2007-03-13<NA><NA><NA>(053)953-0780<NA>700-170대구광역시 중구 완전동 *-**번지대구광역시 중구 교동길 ***-** (완전동)<NA>대명전자2007-08-08 17:04:16I2018-08-31 23:59:59<NA>344428.931658264772.696292게임물배급업유통관련업<NA><NA>게임물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
12게임물배급업03_05_01_P3410000CDFF22411220030000012003-07-19<NA>3폐업3폐업2005-09-12<NA><NA><NA>(053)421-1222<NA>700-809대구광역시 중구 대봉동 **-*번지 *층대구광역시 중구 동덕로 ** (대봉동,*층)<NA>(주)신디벨리2007-08-08 16:52:56I2018-08-31 23:59:59<NA>344816.160106263489.007601게임물배급업유통관련업<NA><NA>게임물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23게임물배급업03_05_01_P3410000CDFF22411219990000011999-12-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>700-423대구광역시 중구 동인동*가 ***-**번지대구광역시 중구 국채보상로***길 ** (동인동*가)<NA>이지AMUSE2007-08-08 16:34:39I2018-08-31 23:59:59<NA>345227.764009264612.194927게임물배급업유통관련업<NA><NA>게임물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
34게임물배급업03_05_01_P3410000CDFF22411220010000012001-11-29<NA>1영업/정상13영업중<NA><NA><NA><NA>(053)217-5300<NA><NA>대구광역시 중구 동성로*가 **-**번지 교보생명빌딩 **층대구광역시 중구 국채보상로 *** (동성로*가,교보생명빌딩 **층)<NA>주식회사 코그2019-04-12 17:44:30U2019-04-14 02:40:00<NA>343959.823762264529.39356게임물배급업유통관련업<NA><NA>게임물103.2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
45게임물배급업03_05_01_P3410000CDFF22411220210000012021-06-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 대봉동 **-*대구광역시 중구 동덕로 **-**, *,*층 (대봉동)41952주식회사 원블레이즈2021-06-08 08:59:32I2021-06-09 00:22:55<NA>344898.123927263466.984375게임물배급업유통관련업<NA><NA>온라인게임105.6<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
56게임물배급업03_05_01_P3410000CDFF22411220070000012007-10-04<NA>1영업/정상13영업중<NA><NA><NA><NA>(053)591-9500<NA>700-411대구광역시 중구 삼덕동*가 **번지 B동대구광역시 중구 동성로*길 ** (삼덕동*가,B동)<NA>(주)상아개발2007-10-04 10:13:00I2018-08-31 23:59:59<NA>344343.282168264093.487414게임물배급업유통관련업<NA><NA>게임물,펀킥<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
67게임물배급업03_05_01_P3410000CDFF22411220120000012012-02-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동*가 ***-*번지 진석타워즈 내 창업센터대구광역시 중구 동덕로 ***, *층 ***호 (삼덕동*가)41940(주)기뉴2014-02-26 11:13:47I2018-08-31 23:59:59<NA>344686.259338263958.880864게임물배급업유통관련업<NA><NA>일반게임소프트웨어8.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
78게임물배급업03_05_01_P3410000CDFF22411220200000012020-05-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 수창동 ***번지 대구역센트럴자이 ***동 ****호대구광역시 중구 서성로 **, ***동 ****호 (수창동, 대구역센트럴자이)41915(주)나다디지탈2020-05-04 14:35:22I2020-05-06 00:23:19<NA>343202.399058265133.447119게임물배급업유통관련업<NA>아파트지역게임84.6<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>주거지역
89게임물배급업03_05_01_P3410000CDFF22411220020000012002-02-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>700-421대구광역시 중구 동인동*가 **-*번지 동인시티타운 *층대구광역시 중구 국채보상로***길 ** (동인동*가,동인시티타운 *층)<NA>(주)지오텍시스템2007-08-08 16:40:38I2018-08-31 23:59:59<NA>344605.619674264770.297911게임물배급업유통관련업<NA><NA>게임물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
910게임물배급업03_05_01_P3420000CDFF22411220160000012013-10-24<NA>3폐업3폐업2016-11-23<NA><NA><NA>0539628605<NA><NA>대구광역시 동구 율하동 ****번지대구광역시 동구 율하서로 **, ***호 (율하동)41108브레인스포츠엔터테인먼트(주)2016-11-23 16:35:30I2018-08-31 23:59:59<NA>352725.021343264201.382696게임물배급업유통관련업20<NA>온라인,모바일게임84.2421<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
8788게임물배급업03_05_01_P3470000CDFF22411220180000012018-01-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 호림동 *-*대구광역시 달서구 달서대로**길 **, 모다지식산업센터 나동 *층 ***,***호 (호림동)42714주식회사인솔엠앤티2021-05-03 11:25:51U2021-05-05 02:40:00<NA>334345.322515260900.296651게임물배급업유통관련업5기타aiaiplay187.71<NA>교육연구시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
8889게임물배급업03_05_01_P3470000CDFF22411220190000012019-05-01<NA>1영업/정상13영업중<NA><NA><NA><NA>0536568480<NA><NA>대구광역시 달서구 상인동 ***-*번지 우리빌딩대구광역시 달서구 월배로 ***, 우리빌딩 *층 ***호 (상인동)42781주식회사우리소프트2019-05-01 16:34:12I2019-05-03 02:20:36<NA>338451.426686258570.98584게임물배급업유통관련업13기타온라인교육프로그램88.58<NA>교육연구시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>근린상업지역
8990게임물배급업03_05_01_P3470000CDFF22411220230000012022-04-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 호산동 ***대구광역시 달서구 성서공단로**길 **, 대구융합R&D센터 *층 (호산동)42713주식회사 리얼테크2023-02-07 15:27:17U2023-02-09 02:40:00<NA>334458.087365261027.092177게임물배급업유통관련업0<NA>드론 VR 교육 시뮬레이터123.3700<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
9091게임물배급업03_05_01_P3470000CDFF22411220230000022023-11-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 두류동 ***-*대구광역시 달서구 달구벌대로 ****, *층 ***호 (두류동)42645브이엑트게임즈2023-11-07 16:59:56I2023-11-09 00:17:18<NA>340081.743687262779.15892게임물배급업유통관련업14<NA>게임 제작 및 구글 플레이스토어 배급3.360근린생활시설0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
9192게임물배급업03_05_01_P3470000CDFF22411220000000012000-11-082007-07-264취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA>588-7766<NA>704-801대구광역시 달서구 대천동 ***-*번지대구광역시 달서구 성서공단남로**길 ** (대천동)<NA>(주)디앤제이어뮤즈먼트2007-07-26 13:08:36I2018-08-31 23:59:59<NA>335193.722935259549.788813게임물배급업유통관련업<NA><NA>아케이드<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9293게임물배급업03_05_01_P3470000CDFF22411220080000022008-08-19<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 10:12:42I2018-08-31 23:59:59<NA>340270.575428261138.314676게임물배급업유통관련업<NA><NA>오락기46.2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9394게임물배급업03_05_01_P3470000CDFF22411220150000012015-11-03<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)42756태풍소프트2015-11-05 10:07:04I2018-08-31 23:59:59<NA>337678.732425259052.115282게임물배급업유통관련업<NA><NA>컴퓨터게임14.4<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9495게임물배급업03_05_01_P3480000CDFF22411220100000012010-04-19<NA>3폐업3폐업2014-12-26<NA><NA><NA><NA><NA><NA>대구광역시 달성군 화원읍 천내리 **-*번지대구광역시 달성군 화원읍 비슬로***길 *-**<NA>우진통신2014-12-26 11:36:13I2018-08-31 23:59:59<NA>335642.888399257161.284214게임물배급업유통관련업<NA><NA>퀴즈풀이101.4<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9596게임물배급업03_05_01_P3480000CDFF22411220220000012022-07-27<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 17:24:07I2022-07-29 00:22:39<NA>331916.550581263290.230568게임물배급업유통관련업0<NA>모바일게임, pc게임15.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
9697게임물배급업03_05_01_P3480000CDFF22411220190000012018-07-03<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 세천리 ****-*번지대구광역시 달성군 다사읍 세천남로 **, *,*층42930주식회사파코웨어2019-09-26 11:20:45I2019-09-27 02:22:37<NA>333415.217405264526.649705게임물배급업유통관련업5<NA>모바일,온라인게임48.962<NA>교육연구시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자연녹지지역