Overview

Dataset statistics

Number of variables59
Number of observations69
Missing cells1661
Missing cells (%)40.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory34.3 KiB
Average record size in memory508.9 B

Variable types

Numeric8
Categorical18
Text9
DateTime4
Unsupported20

Dataset

Description23년11월_6270000_대구광역시_03_05_04_P_복합유통게임제공업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000101296&dataSetDetailId=DDI_0000101328&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
문화체육업종명 has constant value ""Constant
문화사업자구분명 has constant value ""Constant
인허가취소일자 has 69 (100.0%) missing valuesMissing
폐업일자 has 23 (33.3%) missing valuesMissing
휴업시작일자 has 69 (100.0%) missing valuesMissing
휴업종료일자 has 69 (100.0%) missing valuesMissing
재개업일자 has 69 (100.0%) missing valuesMissing
소재지전화 has 45 (65.2%) missing valuesMissing
소재지면적 has 69 (100.0%) missing valuesMissing
소재지우편번호 has 56 (81.2%) missing valuesMissing
소재지전체주소 has 1 (1.4%) missing valuesMissing
도로명전체주소 has 1 (1.4%) missing valuesMissing
도로명우편번호 has 24 (34.8%) missing valuesMissing
업태구분명 has 69 (100.0%) missing valuesMissing
총층수 has 8 (11.6%) missing valuesMissing
제작취급품목내용 has 29 (42.0%) missing valuesMissing
시설면적 has 3 (4.3%) missing valuesMissing
지상층수 has 9 (13.0%) missing valuesMissing
비상계단여부 has 69 (100.0%) missing valuesMissing
비상구여부 has 69 (100.0%) missing valuesMissing
자동환기여부 has 69 (100.0%) missing valuesMissing
청소년실여부 has 69 (100.0%) missing valuesMissing
특수조명여부 has 69 (100.0%) missing valuesMissing
방음시설여부 has 69 (100.0%) missing valuesMissing
비디오재생기명 has 69 (100.0%) missing valuesMissing
조명시설유무 has 69 (100.0%) missing valuesMissing
음향시설여부 has 69 (100.0%) missing valuesMissing
편의시설여부 has 69 (100.0%) missing valuesMissing
소방시설여부 has 69 (100.0%) missing valuesMissing
총게임기수 has 33 (47.8%) missing valuesMissing
기존게임업외업종명 has 49 (71.0%) missing valuesMissing
공연장형태구분명 has 69 (100.0%) missing valuesMissing
품목명 has 69 (100.0%) missing valuesMissing
최초등록시점 has 69 (100.0%) missing valuesMissing
번호 has unique valuesUnique
최종수정시점 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
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 6 (8.7%) zerosZeros
시설면적 has 1 (1.4%) zerosZeros
지상층수 has 8 (11.6%) zerosZeros
총게임기수 has 9 (13.0%) zerosZeros

Reproduction

Analysis started2023-12-16 05:05:15.168687
Analysis finished2023-12-16 05:05:17.393937
Duration2.23 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct69
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35
Minimum1
Maximum69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2023-12-16T05:05:17.838649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.4
Q118
median35
Q352
95-th percentile65.6
Maximum69
Range68
Interquartile range (IQR)34

Descriptive statistics

Standard deviation20.062403
Coefficient of variation (CV)0.5732115
Kurtosis-1.2
Mean35
Median Absolute Deviation (MAD)17
Skewness0
Sum2415
Variance402.5
MonotonicityStrictly increasing
2023-12-16T05:05:18.719818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.4%
45 1
 
1.4%
51 1
 
1.4%
50 1
 
1.4%
49 1
 
1.4%
48 1
 
1.4%
47 1
 
1.4%
46 1
 
1.4%
44 1
 
1.4%
53 1
 
1.4%
Other values (59) 59
85.5%
ValueCountFrequency (%)
1 1
1.4%
2 1
1.4%
3 1
1.4%
4 1
1.4%
5 1
1.4%
6 1
1.4%
7 1
1.4%
8 1
1.4%
9 1
1.4%
10 1
1.4%
ValueCountFrequency (%)
69 1
1.4%
68 1
1.4%
67 1
1.4%
66 1
1.4%
65 1
1.4%
64 1
1.4%
63 1
1.4%
62 1
1.4%
61 1
1.4%
60 1
1.4%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size684.0 B
복합유통게임제공업
69 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
복합유통게임제공업 69
100.0%

Length

2023-12-16T05:05:19.513382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:05:19.984421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
복합유통게임제공업 69
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size684.0 B
03_05_04_P
69 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03_05_04_P
2nd row03_05_04_P
3rd row03_05_04_P
4th row03_05_04_P
5th row03_05_04_P

Common Values

ValueCountFrequency (%)
03_05_04_P 69
100.0%

Length

2023-12-16T05:05:20.694798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:05:21.154526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_05_04_p 69
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3510623.2
Minimum3410000
Maximum5141000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2023-12-16T05:05:21.819613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13410000
median3440000
Q33460000
95-th percentile3480000
Maximum5141000
Range1731000
Interquartile range (IQR)50000

Descriptive statistics

Standard deviation350955.76
Coefficient of variation (CV)0.099969646
Kurtosis19.309492
Mean3510623.2
Median Absolute Deviation (MAD)30000
Skewness4.5427163
Sum2.42233 × 108
Variance1.2316994 × 1011
MonotonicityIncreasing
2023-12-16T05:05:22.506402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3410000 20
29.0%
3450000 14
20.3%
3420000 13
18.8%
3470000 9
13.0%
3460000 5
 
7.2%
3480000 3
 
4.3%
5141000 3
 
4.3%
3440000 2
 
2.9%
ValueCountFrequency (%)
3410000 20
29.0%
3420000 13
18.8%
3440000 2
 
2.9%
3450000 14
20.3%
3460000 5
 
7.2%
3470000 9
13.0%
3480000 3
 
4.3%
5141000 3
 
4.3%
ValueCountFrequency (%)
5141000 3
 
4.3%
3480000 3
 
4.3%
3470000 9
13.0%
3460000 5
 
7.2%
3450000 14
20.3%
3440000 2
 
2.9%
3420000 13
18.8%
3410000 20
29.0%
Distinct42
Distinct (%)60.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
2023-12-16T05:05:23.643703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1380
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

Unique28 ?
Unique (%)40.6%

Sample

1st rowCDFF2241032017000004
2nd rowCDFF2241032018000001
3rd rowCDFF2241032018000003
4th rowCDFF2241032010000002
5th rowCDFF2241032008000001
ValueCountFrequency (%)
cdff2241032002000001 4
 
5.8%
cdff2241032023000001 4
 
5.8%
cdff2241032008000001 4
 
5.8%
cdff2241032016000001 3
 
4.3%
cdff2241032013000001 3
 
4.3%
cdff2241032002000002 3
 
4.3%
cdff2241032011000001 3
 
4.3%
cdff2241032018000001 3
 
4.3%
cdff2241032009000001 3
 
4.3%
cdff2241032020000001 3
 
4.3%
Other values (32) 36
52.2%
2023-12-16T05:05:25.636418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 513
37.2%
2 241
17.5%
1 153
 
11.1%
F 138
 
10.0%
3 82
 
5.9%
4 75
 
5.4%
C 69
 
5.0%
D 69
 
5.0%
8 16
 
1.2%
9 10
 
0.7%
Other values (3) 14
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1104
80.0%
Uppercase Letter 276
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 513
46.5%
2 241
21.8%
1 153
 
13.9%
3 82
 
7.4%
4 75
 
6.8%
8 16
 
1.4%
9 10
 
0.9%
7 6
 
0.5%
6 5
 
0.5%
5 3
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
F 138
50.0%
C 69
25.0%
D 69
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1104
80.0%
Latin 276
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 513
46.5%
2 241
21.8%
1 153
 
13.9%
3 82
 
7.4%
4 75
 
6.8%
8 16
 
1.4%
9 10
 
0.9%
7 6
 
0.5%
6 5
 
0.5%
5 3
 
0.3%
Latin
ValueCountFrequency (%)
F 138
50.0%
C 69
25.0%
D 69
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1380
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 513
37.2%
2 241
17.5%
1 153
 
11.1%
F 138
 
10.0%
3 82
 
5.9%
4 75
 
5.4%
C 69
 
5.0%
D 69
 
5.0%
8 16
 
1.2%
9 10
 
0.7%
Other values (3) 14
 
1.0%
Distinct67
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size684.0 B
Minimum1998-03-21 00:00:00
Maximum2023-06-16 00:00:00
2023-12-16T05:05:26.230119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T05:05:27.334919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B
Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size684.0 B
3
42 
1
23 
4
 
4

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 (%)
3 42
60.9%
1 23
33.3%
4 4
 
5.8%

Length

2023-12-16T05:05:28.530497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:05:29.514704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 42
60.9%
1 23
33.3%
4 4
 
5.8%

영업상태명
Categorical

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size684.0 B
폐업
42 
영업/정상
23 
취소/말소/만료/정지/중지
 
4

Length

Max length14
Median length2
Mean length3.6956522
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 (%)
폐업 42
60.9%
영업/정상 23
33.3%
취소/말소/만료/정지/중지 4
 
5.8%

Length

2023-12-16T05:05:30.297204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:05:31.191552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 42
60.9%
영업/정상 23
33.3%
취소/말소/만료/정지/중지 4
 
5.8%
Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size684.0 B
3
42 
13
23 
35
 
4

Length

Max length2
Median length1
Mean length1.3913043
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row35
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 42
60.9%
13 23
33.3%
35 4
 
5.8%

Length

2023-12-16T05:05:32.000817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:05:32.714539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 42
60.9%
13 23
33.3%
35 4
 
5.8%
Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size684.0 B
폐업
42 
영업중
23 
직권말소
 
4

Length

Max length4
Median length2
Mean length2.4492754
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 42
60.9%
영업중 23
33.3%
직권말소 4
 
5.8%

Length

2023-12-16T05:05:33.917305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:05:34.863249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 42
60.9%
영업중 23
33.3%
직권말소 4
 
5.8%

폐업일자
Date

MISSING 

Distinct44
Distinct (%)95.7%
Missing23
Missing (%)33.3%
Memory size684.0 B
Minimum2004-10-01 00:00:00
Maximum2023-08-03 00:00:00
2023-12-16T05:05:35.559652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T05:05:36.414528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

소재지전화
Text

MISSING 

Distinct24
Distinct (%)100.0%
Missing45
Missing (%)65.2%
Memory size684.0 B
2023-12-16T05:05:37.175008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12.5
Mean length10.041667
Min length8

Characters and Unicode

Total characters241
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row053-286-5658
2nd row053-428-6969
3rd row070-8610-6597
4th row070-8224-0218
5th row053-291-5301
ValueCountFrequency (%)
053-286-5658 1
 
4.2%
053-428-6969 1
 
4.2%
383-2653 1
 
4.2%
383-2996 1
 
4.2%
621-7733 1
 
4.2%
585-0918 1
 
4.2%
582-2403 1
 
4.2%
588-0110 1
 
4.2%
524-3107 1
 
4.2%
751-8929 1
 
4.2%
Other values (14) 14
58.3%
2023-12-16T05:05:39.339913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 32
13.3%
5 30
12.4%
3 29
12.0%
0 28
11.6%
8 28
11.6%
2 23
9.5%
6 17
7.1%
9 16
6.6%
1 15
6.2%
4 11
 
4.6%
Other values (2) 12
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 207
85.9%
Dash Punctuation 32
 
13.3%
Close Punctuation 2
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 30
14.5%
3 29
14.0%
0 28
13.5%
8 28
13.5%
2 23
11.1%
6 17
8.2%
9 16
7.7%
1 15
7.2%
4 11
 
5.3%
7 10
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 241
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 32
13.3%
5 30
12.4%
3 29
12.0%
0 28
11.6%
8 28
11.6%
2 23
9.5%
6 17
7.1%
9 16
6.6%
1 15
6.2%
4 11
 
4.6%
Other values (2) 12
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 241
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 32
13.3%
5 30
12.4%
3 29
12.0%
0 28
11.6%
8 28
11.6%
2 23
9.5%
6 17
7.1%
9 16
6.6%
1 15
6.2%
4 11
 
4.6%
Other values (2) 12
 
5.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

소재지우편번호
Text

MISSING 

Distinct12
Distinct (%)92.3%
Missing56
Missing (%)81.2%
Memory size684.0 B
2023-12-16T05:05:40.015262image/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

Unique11 ?
Unique (%)84.6%

Sample

1st row701-802
2nd row701-819
3rd row705-811
4th row702-819
5th row702-831
ValueCountFrequency (%)
704-936 2
15.4%
701-802 1
7.7%
701-819 1
7.7%
705-811 1
7.7%
702-819 1
7.7%
702-831 1
7.7%
702-851 1
7.7%
706-839 1
7.7%
706-803 1
7.7%
704-940 1
7.7%
Other values (2) 2
15.4%
2023-12-16T05:05:41.504041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 16
17.6%
7 13
14.3%
- 13
14.3%
1 10
11.0%
8 9
9.9%
9 7
7.7%
4 6
 
6.6%
3 5
 
5.5%
6 5
 
5.5%
2 5
 
5.5%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 16
20.5%
7 13
16.7%
1 10
12.8%
8 9
11.5%
9 7
9.0%
4 6
 
7.7%
3 5
 
6.4%
6 5
 
6.4%
2 5
 
6.4%
5 2
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 91
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 16
17.6%
7 13
14.3%
- 13
14.3%
1 10
11.0%
8 9
9.9%
9 7
7.7%
4 6
 
6.6%
3 5
 
5.5%
6 5
 
5.5%
2 5
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 91
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 16
17.6%
7 13
14.3%
- 13
14.3%
1 10
11.0%
8 9
9.9%
9 7
7.7%
4 6
 
6.6%
3 5
 
5.5%
6 5
 
5.5%
2 5
 
5.5%

소재지전체주소
Text

MISSING 

Distinct68
Distinct (%)100.0%
Missing1
Missing (%)1.4%
Memory size684.0 B
2023-12-16T05:05:42.931799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length28.5
Mean length24.985294
Min length17

Characters and Unicode

Total characters1699
Distinct characters125
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

Unique68 ?
Unique (%)100.0%

Sample

1st row대구광역시 중구 삼덕동1가 17-16 지하1층
2nd row대구광역시 중구 삼덕동1가 15-1번지 지상2층
3rd row대구광역시 중구 공평동 46-10 지상2층
4th row대구광역시 중구 삼덕동1가 9-3번지 (지상3층)
5th row대구광역시 중구 삼덕동1가 18-7번지
ValueCountFrequency (%)
대구광역시 68
 
20.8%
중구 20
 
6.1%
북구 14
 
4.3%
동구 12
 
3.7%
달서구 9
 
2.8%
삼덕동1가 8
 
2.4%
지상2층 6
 
1.8%
지하1층 5
 
1.5%
공평동 5
 
1.5%
수성구 5
 
1.5%
Other values (134) 175
53.5%
2023-12-16T05:05:46.312748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
327
19.2%
137
 
8.1%
1 85
 
5.0%
78
 
4.6%
75
 
4.4%
69
 
4.1%
68
 
4.0%
68
 
4.0%
64
 
3.8%
- 57
 
3.4%
Other values (115) 671
39.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 946
55.7%
Decimal Number 339
 
20.0%
Space Separator 327
 
19.2%
Dash Punctuation 57
 
3.4%
Open Punctuation 11
 
0.6%
Close Punctuation 11
 
0.6%
Uppercase Letter 4
 
0.2%
Other Punctuation 3
 
0.2%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
137
14.5%
78
 
8.2%
75
 
7.9%
69
 
7.3%
68
 
7.2%
68
 
7.2%
64
 
6.8%
40
 
4.2%
30
 
3.2%
22
 
2.3%
Other values (95) 295
31.2%
Decimal Number
ValueCountFrequency (%)
1 85
25.1%
2 51
15.0%
3 36
10.6%
4 31
 
9.1%
0 29
 
8.6%
5 27
 
8.0%
6 20
 
5.9%
7 20
 
5.9%
9 20
 
5.9%
8 20
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
J 1
25.0%
M 1
25.0%
N 1
25.0%
D 1
25.0%
Space Separator
ValueCountFrequency (%)
327
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 57
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 946
55.7%
Common 749
44.1%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
137
14.5%
78
 
8.2%
75
 
7.9%
69
 
7.3%
68
 
7.2%
68
 
7.2%
64
 
6.8%
40
 
4.2%
30
 
3.2%
22
 
2.3%
Other values (95) 295
31.2%
Common
ValueCountFrequency (%)
327
43.7%
1 85
 
11.3%
- 57
 
7.6%
2 51
 
6.8%
3 36
 
4.8%
4 31
 
4.1%
0 29
 
3.9%
5 27
 
3.6%
6 20
 
2.7%
7 20
 
2.7%
Other values (6) 66
 
8.8%
Latin
ValueCountFrequency (%)
J 1
25.0%
M 1
25.0%
N 1
25.0%
D 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 946
55.7%
ASCII 753
44.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
327
43.4%
1 85
 
11.3%
- 57
 
7.6%
2 51
 
6.8%
3 36
 
4.8%
4 31
 
4.1%
0 29
 
3.9%
5 27
 
3.6%
6 20
 
2.7%
7 20
 
2.7%
Other values (10) 70
 
9.3%
Hangul
ValueCountFrequency (%)
137
14.5%
78
 
8.2%
75
 
7.9%
69
 
7.3%
68
 
7.2%
68
 
7.2%
64
 
6.8%
40
 
4.2%
30
 
3.2%
22
 
2.3%
Other values (95) 295
31.2%

도로명전체주소
Text

MISSING 

Distinct67
Distinct (%)98.5%
Missing1
Missing (%)1.4%
Memory size684.0 B
2023-12-16T05:05:48.200184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length38
Mean length30.411765
Min length21

Characters and Unicode

Total characters2068
Distinct characters138
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

Unique66 ?
Unique (%)97.1%

Sample

1st row대구광역시 중구 동성로5길 50, 지하1층 (삼덕동1가)
2nd row대구광역시 중구 동성로3길 35, 지상2층 (삼덕동1가)
3rd row대구광역시 중구 동성로2길 49-12, 지상2층 (공평동)
4th row대구광역시 중구 동성로1길 29-36 (삼덕동1가,(지상3층))
5th row대구광역시 중구 동성로5길 45 (삼덕동1가)
ValueCountFrequency (%)
대구광역시 68
 
16.5%
중구 20
 
4.9%
북구 14
 
3.4%
동구 13
 
3.2%
달서구 9
 
2.2%
지하1층 8
 
1.9%
삼덕동1가 6
 
1.5%
2층 6
 
1.5%
지상2층 5
 
1.2%
수성구 5
 
1.2%
Other values (190) 258
62.6%
2023-12-16T05:05:51.140754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
361
 
17.5%
140
 
6.8%
106
 
5.1%
91
 
4.4%
1 82
 
4.0%
) 71
 
3.4%
( 71
 
3.4%
69
 
3.3%
69
 
3.3%
68
 
3.3%
Other values (128) 940
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1143
55.3%
Space Separator 361
 
17.5%
Decimal Number 334
 
16.2%
Close Punctuation 71
 
3.4%
Open Punctuation 71
 
3.4%
Other Punctuation 68
 
3.3%
Dash Punctuation 15
 
0.7%
Uppercase Letter 4
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
140
 
12.2%
106
 
9.3%
91
 
8.0%
69
 
6.0%
69
 
6.0%
68
 
5.9%
68
 
5.9%
51
 
4.5%
32
 
2.8%
31
 
2.7%
Other values (108) 418
36.6%
Decimal Number
ValueCountFrequency (%)
1 82
24.6%
2 64
19.2%
3 47
14.1%
4 38
11.4%
5 24
 
7.2%
0 23
 
6.9%
6 18
 
5.4%
7 15
 
4.5%
9 12
 
3.6%
8 11
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
D 1
25.0%
N 1
25.0%
J 1
25.0%
M 1
25.0%
Space Separator
ValueCountFrequency (%)
361
100.0%
Close Punctuation
ValueCountFrequency (%)
) 71
100.0%
Open Punctuation
ValueCountFrequency (%)
( 71
100.0%
Other Punctuation
ValueCountFrequency (%)
, 68
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1143
55.3%
Common 921
44.5%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
140
 
12.2%
106
 
9.3%
91
 
8.0%
69
 
6.0%
69
 
6.0%
68
 
5.9%
68
 
5.9%
51
 
4.5%
32
 
2.8%
31
 
2.7%
Other values (108) 418
36.6%
Common
ValueCountFrequency (%)
361
39.2%
1 82
 
8.9%
) 71
 
7.7%
( 71
 
7.7%
, 68
 
7.4%
2 64
 
6.9%
3 47
 
5.1%
4 38
 
4.1%
5 24
 
2.6%
0 23
 
2.5%
Other values (6) 72
 
7.8%
Latin
ValueCountFrequency (%)
D 1
25.0%
N 1
25.0%
J 1
25.0%
M 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1143
55.3%
ASCII 925
44.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
361
39.0%
1 82
 
8.9%
) 71
 
7.7%
( 71
 
7.7%
, 68
 
7.4%
2 64
 
6.9%
3 47
 
5.1%
4 38
 
4.1%
5 24
 
2.6%
0 23
 
2.5%
Other values (10) 76
 
8.2%
Hangul
ValueCountFrequency (%)
140
 
12.2%
106
 
9.3%
91
 
8.0%
69
 
6.0%
69
 
6.0%
68
 
5.9%
68
 
5.9%
51
 
4.5%
32
 
2.8%
31
 
2.7%
Other values (108) 418
36.6%

도로명우편번호
Text

MISSING 

Distinct34
Distinct (%)75.6%
Missing24
Missing (%)34.8%
Memory size684.0 B
2023-12-16T05:05:52.258119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.1333333
Min length5

Characters and Unicode

Total characters231
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

Unique28 ?
Unique (%)62.2%

Sample

1st row41942
2nd row41942
3rd row41941
4th row41955
5th row41942
ValueCountFrequency (%)
41942 4
 
8.9%
41937 3
 
6.7%
41424 3
 
6.7%
41941 3
 
6.7%
41423 2
 
4.4%
41105 2
 
4.4%
42272 1
 
2.2%
41544 1
 
2.2%
42737 1
 
2.2%
704-921 1
 
2.2%
Other values (24) 24
53.3%
2023-12-16T05:05:54.641793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 70
30.3%
1 45
19.5%
9 26
 
11.3%
2 25
 
10.8%
0 14
 
6.1%
7 13
 
5.6%
5 11
 
4.8%
3 10
 
4.3%
8 7
 
3.0%
6 7
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 228
98.7%
Dash Punctuation 3
 
1.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 70
30.7%
1 45
19.7%
9 26
 
11.4%
2 25
 
11.0%
0 14
 
6.1%
7 13
 
5.7%
5 11
 
4.8%
3 10
 
4.4%
8 7
 
3.1%
6 7
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 231
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 70
30.3%
1 45
19.5%
9 26
 
11.3%
2 25
 
10.8%
0 14
 
6.1%
7 13
 
5.6%
5 11
 
4.8%
3 10
 
4.3%
8 7
 
3.0%
6 7
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 231
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 70
30.3%
1 45
19.5%
9 26
 
11.3%
2 25
 
10.8%
0 14
 
6.1%
7 13
 
5.6%
5 11
 
4.8%
3 10
 
4.3%
8 7
 
3.0%
6 7
 
3.0%
Distinct65
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Memory size684.0 B
2023-12-16T05:05:55.925443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length14
Mean length7.2173913
Min length2

Characters and Unicode

Total characters498
Distinct characters159
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

Unique61 ?
Unique (%)88.4%

Sample

1st row아이존팝 대구동성로점
2nd row쿵스
3rd row오빠네 놀이터
4th row멀티스 멀티방
5th row멀티플러스
ValueCountFrequency (%)
짱오락실 2
 
2.2%
먹방pc 2
 
2.2%
오타쿠용산점 2
 
2.2%
아이존팝 2
 
2.2%
올레pc 2
 
2.2%
멀티방 2
 
2.2%
동전노래연습장 2
 
2.2%
대구동성로점 2
 
2.2%
피플죤 1
 
1.1%
볼륨업피씨방 1
 
1.1%
Other values (73) 73
80.2%
2023-12-16T05:05:58.444844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22
 
4.4%
18
 
3.6%
18
 
3.6%
P 16
 
3.2%
14
 
2.8%
C 14
 
2.8%
13
 
2.6%
12
 
2.4%
11
 
2.2%
11
 
2.2%
Other values (149) 349
70.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 409
82.1%
Uppercase Letter 46
 
9.2%
Space Separator 22
 
4.4%
Close Punctuation 5
 
1.0%
Open Punctuation 5
 
1.0%
Other Punctuation 4
 
0.8%
Lowercase Letter 4
 
0.8%
Decimal Number 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
18
 
4.4%
18
 
4.4%
14
 
3.4%
13
 
3.2%
12
 
2.9%
11
 
2.7%
11
 
2.7%
11
 
2.7%
10
 
2.4%
9
 
2.2%
Other values (126) 282
68.9%
Uppercase Letter
ValueCountFrequency (%)
P 16
34.8%
C 14
30.4%
V 3
 
6.5%
M 2
 
4.3%
R 2
 
4.3%
D 2
 
4.3%
E 2
 
4.3%
B 1
 
2.2%
U 1
 
2.2%
F 1
 
2.2%
Other values (2) 2
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
u 1
25.0%
n 1
25.0%
i 1
25.0%
t 1
25.0%
Other Punctuation
ValueCountFrequency (%)
& 3
75.0%
, 1
 
25.0%
Decimal Number
ValueCountFrequency (%)
2 2
66.7%
1 1
33.3%
Space Separator
ValueCountFrequency (%)
22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 409
82.1%
Latin 50
 
10.0%
Common 39
 
7.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
18
 
4.4%
18
 
4.4%
14
 
3.4%
13
 
3.2%
12
 
2.9%
11
 
2.7%
11
 
2.7%
11
 
2.7%
10
 
2.4%
9
 
2.2%
Other values (126) 282
68.9%
Latin
ValueCountFrequency (%)
P 16
32.0%
C 14
28.0%
V 3
 
6.0%
M 2
 
4.0%
R 2
 
4.0%
D 2
 
4.0%
E 2
 
4.0%
B 1
 
2.0%
U 1
 
2.0%
F 1
 
2.0%
Other values (6) 6
 
12.0%
Common
ValueCountFrequency (%)
22
56.4%
) 5
 
12.8%
( 5
 
12.8%
& 3
 
7.7%
2 2
 
5.1%
, 1
 
2.6%
1 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 409
82.1%
ASCII 89
 
17.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
22
24.7%
P 16
18.0%
C 14
15.7%
) 5
 
5.6%
( 5
 
5.6%
& 3
 
3.4%
V 3
 
3.4%
M 2
 
2.2%
R 2
 
2.2%
D 2
 
2.2%
Other values (13) 15
16.9%
Hangul
ValueCountFrequency (%)
18
 
4.4%
18
 
4.4%
14
 
3.4%
13
 
3.2%
12
 
2.9%
11
 
2.7%
11
 
2.7%
11
 
2.7%
10
 
2.4%
9
 
2.2%
Other values (126) 282
68.9%

최종수정시점
Date

UNIQUE 

Distinct69
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size684.0 B
Minimum2004-10-02 10:15:49
Maximum2023-11-14 13:18:42
2023-12-16T05:05:59.371736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T05:06:00.387667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
I
36 
U
33 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 36
52.2%
U 33
47.8%

Length

2023-12-16T05:06:01.264236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:06:01.967883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 36
52.2%
u 33
47.8%
Distinct40
Distinct (%)58.0%
Missing0
Missing (%)0.0%
Memory size684.0 B
Minimum2018-08-31 23:59:59
Maximum2023-11-16 02:40:00
2023-12-16T05:06:02.664830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T05:06:03.498327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

좌표정보(X)
Real number (ℝ)

Distinct67
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean343600.19
Minimum331168.9
Maximum356353.92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2023-12-16T05:06:04.249615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum331168.9
5-th percentile334792.12
Q1340655.83
median344078.45
Q3346257.51
95-th percentile354149.22
Maximum356353.92
Range25185.018
Interquartile range (IQR)5601.6843

Descriptive statistics

Standard deviation5410.576
Coefficient of variation (CV)0.01574672
Kurtosis0.3799246
Mean343600.19
Median Absolute Deviation (MAD)3024.0146
Skewness0.17974137
Sum23708413
Variance29274333
MonotonicityNot monotonic
2023-12-16T05:06:05.580144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
345339.559469493 2
 
2.9%
353185.225969568 2
 
2.9%
344182.352362019 1
 
1.4%
341054.430533289 1
 
1.4%
355001.657580392 1
 
1.4%
348125.895698754 1
 
1.4%
346564.649877252 1
 
1.4%
343510.573192364 1
 
1.4%
345758.975343371 1
 
1.4%
339760.145053634 1
 
1.4%
Other values (57) 57
82.6%
ValueCountFrequency (%)
331168.897111504 1
1.4%
332237.177954415 1
1.4%
334785.333195964 1
1.4%
334785.463249906 1
1.4%
334802.110007161 1
1.4%
334828.990892002 1
1.4%
335186.778585713 1
1.4%
335921.02663432 1
1.4%
336669.393047273 1
1.4%
337858.032262568 1
1.4%
ValueCountFrequency (%)
356353.915440362 1
1.4%
355737.129428969 1
1.4%
355001.657580392 1
1.4%
354791.889641171 1
1.4%
353185.225969568 2
2.9%
352868.53664899 1
1.4%
350436.176028251 1
1.4%
348125.895698754 1
1.4%
348023.651512935 1
1.4%
347591.270009241 1
1.4%

좌표정보(Y)
Real number (ℝ)

Distinct67
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean266401.39
Minimum244182.05
Maximum305561.77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2023-12-16T05:06:06.837878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum244182.05
5-th percentile260560.98
Q1263312.47
median264339.23
Q3266134.26
95-th percentile272578.68
Maximum305561.77
Range61379.725
Interquartile range (IQR)2821.7869

Descriptive statistics

Standard deviation8722.404
Coefficient of variation (CV)0.032741586
Kurtosis12.615302
Mean266401.39
Median Absolute Deviation (MAD)1561.8283
Skewness3.0364712
Sum18381696
Variance76080332
MonotonicityNot monotonic
2023-12-16T05:06:07.727533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
266290.669590752 2
 
2.9%
263855.049934531 2
 
2.9%
264191.27238334 1
 
1.4%
272539.695670506 1
 
1.4%
261097.579268529 1
 
1.4%
259196.37114885 1
 
1.4%
261242.06431115 1
 
1.4%
266134.259920881 1
 
1.4%
267509.761053147 1
 
1.4%
269625.16699512 1
 
1.4%
Other values (57) 57
82.6%
ValueCountFrequency (%)
244182.047849691 1
1.4%
259196.37114885 1
1.4%
259297.712538705 1
1.4%
260518.743056336 1
1.4%
260624.346943152 1
1.4%
260676.330671976 1
1.4%
261097.579268529 1
1.4%
261242.06431115 1
1.4%
262605.902003227 1
1.4%
262696.822116364 1
1.4%
ValueCountFrequency (%)
305561.772551576 1
1.4%
305373.937063125 1
1.4%
295861.539368445 1
1.4%
272592.080724168 1
1.4%
272558.585333932 1
1.4%
272539.695670506 1
1.4%
272501.710869454 1
1.4%
272406.426940163 1
1.4%
271483.126925836 1
1.4%
271242.25696814 1
1.4%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size684.0 B
복합유통게임제공업
69 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
복합유통게임제공업 69
100.0%

Length

2023-12-16T05:06:08.900632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:06:09.752509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
복합유통게임제공업 69
100.0%

문화사업자구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size684.0 B
유통관련업
69 

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 69
100.0%

Length

2023-12-16T05:06:10.527954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:06:11.247263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 69
100.0%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)21.3%
Missing8
Missing (%)11.6%
Infinite0
Infinite (%)0.0%
Mean5.3114754
Minimum0
Maximum16
Zeros6
Zeros (%)8.7%
Negative0
Negative (%)0.0%
Memory size753.0 B
2023-12-16T05:06:11.737038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median5
Q36
95-th percentile10
Maximum16
Range16
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.0905285
Coefficient of variation (CV)0.58185875
Kurtosis1.914958
Mean5.3114754
Median Absolute Deviation (MAD)1
Skewness0.68862522
Sum324
Variance9.5513661
MonotonicityNot monotonic
2023-12-16T05:06:12.622782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
6 15
21.7%
5 10
14.5%
4 6
 
8.7%
0 6
 
8.7%
3 5
 
7.2%
8 5
 
7.2%
7 4
 
5.8%
2 4
 
5.8%
9 2
 
2.9%
16 1
 
1.4%
Other values (3) 3
 
4.3%
(Missing) 8
11.6%
ValueCountFrequency (%)
0 6
 
8.7%
2 4
 
5.8%
3 5
 
7.2%
4 6
 
8.7%
5 10
14.5%
6 15
21.7%
7 4
 
5.8%
8 5
 
7.2%
9 2
 
2.9%
10 1
 
1.4%
ValueCountFrequency (%)
16 1
 
1.4%
13 1
 
1.4%
12 1
 
1.4%
10 1
 
1.4%
9 2
 
2.9%
8 5
 
7.2%
7 4
 
5.8%
6 15
21.7%
5 10
14.5%
4 6
 
8.7%

주변환경명
Categorical

Distinct6
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size684.0 B
기타
26 
<NA>
25 
유흥업소밀집지역
학교정화(상대)
아파트지역

Length

Max length8
Median length5
Mean length4.115942
Min length2

Unique

Unique1 ?
Unique (%)1.4%

Sample

1st row유흥업소밀집지역
2nd row기타
3rd row기타
4th row학교정화(상대)
5th row<NA>

Common Values

ValueCountFrequency (%)
기타 26
37.7%
<NA> 25
36.2%
유흥업소밀집지역 9
 
13.0%
학교정화(상대) 5
 
7.2%
아파트지역 3
 
4.3%
주택가주변 1
 
1.4%

Length

2023-12-16T05:06:13.365573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:06:13.911639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 26
37.7%
na 25
36.2%
유흥업소밀집지역 9
 
13.0%
학교정화(상대 5
 
7.2%
아파트지역 3
 
4.3%
주택가주변 1
 
1.4%
Distinct21
Distinct (%)52.5%
Missing29
Missing (%)42.0%
Memory size684.0 B
2023-12-16T05:06:14.559756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length24
Mean length11.575
Min length2

Characters and Unicode

Total characters463
Distinct characters55
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

Unique15 ?
Unique (%)37.5%

Sample

1st row노래연습장업, 청소년게임제공업
2nd row노래연습장업, 청소년게임제공업
3rd row청소년게임제공업, 노래연습장업
4th row노래연습장업
5th row노래,영화감상,인터넷컴퓨터게임시설제공
ValueCountFrequency (%)
노래연습장업 13
24.5%
휴게음식점 9
17.0%
청소년게임제공업 9
17.0%
노래연습장 4
 
7.5%
식품접객업(휴게음식점 2
 
3.8%
인터넷컴퓨터게임시설제공업 2
 
3.8%
1개의기기에서게임.노래.영화감상등을제공 2
 
3.8%
노래,영화감상,인터넷컴퓨터게임시설제공 1
 
1.9%
노래연습장,영화감상,인터넷컴퓨터게임시설제공업 1
 
1.9%
노래 1
 
1.9%
Other values (9) 9
17.0%
2023-12-16T05:06:16.064596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
34
 
7.3%
32
 
6.9%
25
 
5.4%
25
 
5.4%
22
 
4.8%
21
 
4.5%
21
 
4.5%
20
 
4.3%
19
 
4.1%
18
 
3.9%
Other values (45) 226
48.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 416
89.8%
Other Punctuation 22
 
4.8%
Space Separator 13
 
2.8%
Close Punctuation 3
 
0.6%
Open Punctuation 3
 
0.6%
Decimal Number 2
 
0.4%
Math Symbol 2
 
0.4%
Uppercase Letter 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
34
 
8.2%
32
 
7.7%
25
 
6.0%
25
 
6.0%
22
 
5.3%
21
 
5.0%
21
 
5.0%
20
 
4.8%
19
 
4.6%
18
 
4.3%
Other values (36) 179
43.0%
Other Punctuation
ValueCountFrequency (%)
, 18
81.8%
. 4
 
18.2%
Uppercase Letter
ValueCountFrequency (%)
P 1
50.0%
C 1
50.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Decimal Number
ValueCountFrequency (%)
1 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 416
89.8%
Common 45
 
9.7%
Latin 2
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
34
 
8.2%
32
 
7.7%
25
 
6.0%
25
 
6.0%
22
 
5.3%
21
 
5.0%
21
 
5.0%
20
 
4.8%
19
 
4.6%
18
 
4.3%
Other values (36) 179
43.0%
Common
ValueCountFrequency (%)
, 18
40.0%
13
28.9%
. 4
 
8.9%
) 3
 
6.7%
( 3
 
6.7%
1 2
 
4.4%
+ 2
 
4.4%
Latin
ValueCountFrequency (%)
P 1
50.0%
C 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 416
89.8%
ASCII 47
 
10.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
34
 
8.2%
32
 
7.7%
25
 
6.0%
25
 
6.0%
22
 
5.3%
21
 
5.0%
21
 
5.0%
20
 
4.8%
19
 
4.6%
18
 
4.3%
Other values (36) 179
43.0%
ASCII
ValueCountFrequency (%)
, 18
38.3%
13
27.7%
. 4
 
8.5%
) 3
 
6.4%
( 3
 
6.4%
1 2
 
4.3%
+ 2
 
4.3%
P 1
 
2.1%
C 1
 
2.1%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct64
Distinct (%)97.0%
Missing3
Missing (%)4.3%
Infinite0
Infinite (%)0.0%
Mean272.21652
Minimum0
Maximum1348.34
Zeros1
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size753.0 B
2023-12-16T05:06:16.662703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile59.595
Q1153.185
median237.945
Q3321.2425
95-th percentile562.9225
Maximum1348.34
Range1348.34
Interquartile range (IQR)168.0575

Descriptive statistics

Standard deviation203.97646
Coefficient of variation (CV)0.749317
Kurtosis11.51596
Mean272.21652
Median Absolute Deviation (MAD)84.87
Skewness2.6906019
Sum17966.29
Variance41606.397
MonotonicityNot monotonic
2023-12-16T05:06:17.397358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0 2
 
2.9%
111.84 2
 
2.9%
245.5 1
 
1.4%
273.31 1
 
1.4%
584.19 1
 
1.4%
152.5 1
 
1.4%
191.97 1
 
1.4%
207.88 1
 
1.4%
425.59 1
 
1.4%
371.07 1
 
1.4%
Other values (54) 54
78.3%
(Missing) 3
 
4.3%
ValueCountFrequency (%)
0.0 1
1.4%
1.0 2
2.9%
48.71 1
1.4%
92.25 1
1.4%
109.8 1
1.4%
111.84 2
2.9%
117.06 1
1.4%
117.21 1
1.4%
118.65 1
1.4%
123.52 1
1.4%
ValueCountFrequency (%)
1348.34 1
1.4%
775.58 1
1.4%
753.22 1
1.4%
584.19 1
1.4%
499.12 1
1.4%
491.28 1
1.4%
457.23 1
1.4%
452.35 1
1.4%
434.72 1
1.4%
425.59 1
1.4%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)18.3%
Missing9
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean4.05
Minimum0
Maximum35
Zeros8
Zeros (%)11.6%
Negative0
Negative (%)0.0%
Memory size753.0 B
2023-12-16T05:06:18.254387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3.5
Q35
95-th percentile9.15
Maximum35
Range35
Interquartile range (IQR)3

Descriptive statistics

Standard deviation4.809683
Coefficient of variation (CV)1.1875761
Kurtosis29.414581
Mean4.05
Median Absolute Deviation (MAD)1.5
Skewness4.7535123
Sum243
Variance23.133051
MonotonicityNot monotonic
2023-12-16T05:06:18.835868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
4 14
20.3%
2 13
18.8%
0 8
11.6%
3 7
10.1%
6 6
8.7%
5 4
 
5.8%
12 2
 
2.9%
7 2
 
2.9%
1 2
 
2.9%
35 1
 
1.4%
(Missing) 9
13.0%
ValueCountFrequency (%)
0 8
11.6%
1 2
 
2.9%
2 13
18.8%
3 7
10.1%
4 14
20.3%
5 4
 
5.8%
6 6
8.7%
7 2
 
2.9%
9 1
 
1.4%
12 2
 
2.9%
ValueCountFrequency (%)
35 1
 
1.4%
12 2
 
2.9%
9 1
 
1.4%
7 2
 
2.9%
6 6
8.7%
5 4
 
5.8%
4 14
20.3%
3 7
10.1%
2 13
18.8%
1 2
 
2.9%

지하층수
Categorical

Distinct4
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size684.0 B
<NA>
34 
1
18 
0
15 
2
 
2

Length

Max length4
Median length1
Mean length2.4782609
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 34
49.3%
1 18
26.1%
0 15
21.7%
2 2
 
2.9%

Length

2023-12-16T05:06:19.528949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:06:20.050546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 34
49.3%
1 18
26.1%
0 15
21.7%
2 2
 
2.9%

건물용도명
Categorical

Distinct5
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Memory size684.0 B
근린생활시설
43 
<NA>
19 
판매시설
 
4
기타
 
2
유통시설
 
1

Length

Max length6
Median length6
Mean length5.1884058
Min length2

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
근린생활시설 43
62.3%
<NA> 19
27.5%
판매시설 4
 
5.8%
기타 2
 
2.9%
유통시설 1
 
1.4%

Length

2023-12-16T05:06:20.803755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:06:21.649177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
근린생활시설 43
62.3%
na 19
27.5%
판매시설 4
 
5.8%
기타 2
 
2.9%
유통시설 1
 
1.4%

통로너비
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
<NA>
51 
0
18 

Length

Max length4
Median length4
Mean length3.2173913
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> 51
73.9%
0 18
 
26.1%

Length

2023-12-16T05:06:22.396155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:06:22.797756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
73.9%
0 18
 
26.1%
Distinct6
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size684.0 B
<NA>
40 
0
14 
40
10 
60
 
3
120
 
1

Length

Max length4
Median length4
Mean length2.9855072
Min length1

Unique

Unique2 ?
Unique (%)2.9%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row40

Common Values

ValueCountFrequency (%)
<NA> 40
58.0%
0 14
 
20.3%
40 10
 
14.5%
60 3
 
4.3%
120 1
 
1.4%
100 1
 
1.4%

Length

2023-12-16T05:06:23.372580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:06:23.725700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 40
58.0%
0 14
 
20.3%
40 10
 
14.5%
60 3
 
4.3%
120 1
 
1.4%
100 1
 
1.4%

노래방실수
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
<NA>
51 
0
18 

Length

Max length4
Median length4
Mean length3.2173913
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> 51
73.9%
0 18
 
26.1%

Length

2023-12-16T05:06:24.685340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:06:25.306368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
73.9%
0 18
 
26.1%

청소년실수
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
<NA>
51 
0
18 

Length

Max length4
Median length4
Mean length3.2173913
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> 51
73.9%
0 18
 
26.1%

Length

2023-12-16T05:06:25.903010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:06:26.369168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
73.9%
0 18
 
26.1%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

총게임기수
Real number (ℝ)

MISSING  ZEROS 

Distinct26
Distinct (%)72.2%
Missing33
Missing (%)47.8%
Infinite0
Infinite (%)0.0%
Mean56.472222
Minimum0
Maximum195
Zeros9
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2023-12-16T05:06:26.747420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15.25
median28
Q3104.75
95-th percentile171
Maximum195
Range195
Interquartile range (IQR)99.5

Descriptive statistics

Standard deviation61.274784
Coefficient of variation (CV)1.0850429
Kurtosis-0.59049626
Mean56.472222
Median Absolute Deviation (MAD)28
Skewness0.85902732
Sum2033
Variance3754.5992
MonotonicityNot monotonic
2023-12-16T05:06:27.474141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 9
 
13.0%
10 2
 
2.9%
21 2
 
2.9%
129 1
 
1.4%
16 1
 
1.4%
116 1
 
1.4%
25 1
 
1.4%
103 1
 
1.4%
91 1
 
1.4%
100 1
 
1.4%
Other values (16) 16
23.2%
(Missing) 33
47.8%
ValueCountFrequency (%)
0 9
13.0%
7 1
 
1.4%
10 2
 
2.9%
12 1
 
1.4%
16 1
 
1.4%
21 2
 
2.9%
25 1
 
1.4%
27 1
 
1.4%
29 1
 
1.4%
31 1
 
1.4%
ValueCountFrequency (%)
195 1
1.4%
180 1
1.4%
168 1
1.4%
166 1
1.4%
129 1
1.4%
128 1
1.4%
116 1
1.4%
111 1
1.4%
107 1
1.4%
104 1
1.4%
Distinct14
Distinct (%)70.0%
Missing49
Missing (%)71.0%
Memory size684.0 B
2023-12-16T05:06:28.144901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length8.95
Min length3

Characters and Unicode

Total characters179
Distinct characters52
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

Unique12 ?
Unique (%)60.0%

Sample

1st row노래연습장
2nd row청소년게임장업
3rd row노래,영화감상,인터넷컴퓨터게임시설제공
4th row노래연습장업
5th row청소년게임제공업, 인터넷컴퓨터게임시설제공업
ValueCountFrequency (%)
노래연습장 5
22.7%
노래연습장업 4
18.2%
청소년게임장업 1
 
4.5%
노래,영화감상,인터넷컴퓨터게임시설제공 1
 
4.5%
청소년게임제공업 1
 
4.5%
인터넷컴퓨터게임시설제공업 1
 
4.5%
인터넷 1
 
4.5%
휴게음식점 1
 
4.5%
게임장 1
 
4.5%
pc방 1
 
4.5%
Other values (5) 5
22.7%
2023-12-16T05:06:29.395150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11
 
6.1%
11
 
6.1%
11
 
6.1%
11
 
6.1%
10
 
5.6%
9
 
5.0%
9
 
5.0%
8
 
4.5%
7
 
3.9%
6
 
3.4%
Other values (42) 86
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 164
91.6%
Other Punctuation 6
 
3.4%
Math Symbol 2
 
1.1%
Space Separator 2
 
1.1%
Uppercase Letter 2
 
1.1%
Close Punctuation 1
 
0.6%
Decimal Number 1
 
0.6%
Open Punctuation 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
11
 
6.7%
11
 
6.7%
11
 
6.7%
11
 
6.7%
10
 
6.1%
9
 
5.5%
9
 
5.5%
8
 
4.9%
7
 
4.3%
6
 
3.7%
Other values (33) 71
43.3%
Other Punctuation
ValueCountFrequency (%)
, 4
66.7%
. 2
33.3%
Uppercase Letter
ValueCountFrequency (%)
C 1
50.0%
P 1
50.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 164
91.6%
Common 13
 
7.3%
Latin 2
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
11
 
6.7%
11
 
6.7%
11
 
6.7%
11
 
6.7%
10
 
6.1%
9
 
5.5%
9
 
5.5%
8
 
4.9%
7
 
4.3%
6
 
3.7%
Other values (33) 71
43.3%
Common
ValueCountFrequency (%)
, 4
30.8%
+ 2
15.4%
. 2
15.4%
2
15.4%
) 1
 
7.7%
1 1
 
7.7%
( 1
 
7.7%
Latin
ValueCountFrequency (%)
C 1
50.0%
P 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 164
91.6%
ASCII 15
 
8.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
11
 
6.7%
11
 
6.7%
11
 
6.7%
11
 
6.7%
10
 
6.1%
9
 
5.5%
9
 
5.5%
8
 
4.9%
7
 
4.3%
6
 
3.7%
Other values (33) 71
43.3%
ASCII
ValueCountFrequency (%)
, 4
26.7%
+ 2
13.3%
. 2
13.3%
2
13.3%
) 1
 
6.7%
1 1
 
6.7%
( 1
 
6.7%
C 1
 
6.7%
P 1
 
6.7%
Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size684.0 B
전체이용가
40 
<NA>
28 
전체이용가 및 청소년이용불가
 
1

Length

Max length15
Median length5
Mean length4.7391304
Min length4

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
전체이용가 40
58.0%
<NA> 28
40.6%
전체이용가 및 청소년이용불가 1
 
1.4%

Length

2023-12-16T05:06:30.047122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:06:30.764850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전체이용가 41
57.7%
na 28
39.4%
1
 
1.4%
청소년이용불가 1
 
1.4%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

지역구분명
Categorical

Distinct10
Distinct (%)14.5%
Missing0
Missing (%)0.0%
Memory size684.0 B
중심상업지역
21 
<NA>
13 
일반상업지역
12 
일반주거지역
상업지역
Other values (5)

Length

Max length6
Median length6
Mean length5.3913043
Min length4

Unique

Unique3 ?
Unique (%)4.3%

Sample

1st row중심상업지역
2nd row중심상업지역
3rd row일반상업지역
4th row일반상업지역
5th row중심상업지역

Common Values

ValueCountFrequency (%)
중심상업지역 21
30.4%
<NA> 13
18.8%
일반상업지역 12
17.4%
일반주거지역 9
13.0%
상업지역 5
 
7.2%
근린상업지역 3
 
4.3%
준주거지역 3
 
4.3%
주거지역 1
 
1.4%
일반공업지역 1
 
1.4%
준공업지역 1
 
1.4%

Length

2023-12-16T05:06:31.394090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:06:32.527375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중심상업지역 21
30.4%
na 13
18.8%
일반상업지역 12
17.4%
일반주거지역 9
13.0%
상업지역 5
 
7.2%
근린상업지역 3
 
4.3%
준주거지역 3
 
4.3%
주거지역 1
 
1.4%
일반공업지역 1
 
1.4%
준공업지역 1
 
1.4%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
01복합유통게임제공업03_05_04_P3410000CDFF22410320170000042017-08-31<NA>3폐업3폐업2021-01-05<NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동1가 17-16 지하1층대구광역시 중구 동성로5길 50, 지하1층 (삼덕동1가)41942아이존팝 대구동성로점2021-01-05 18:00:59U2021-01-07 02:40:00<NA>344182.352362264191.272383복합유통게임제공업유통관련업5유흥업소밀집지역노래연습장업, 청소년게임제공업282.031근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>44노래연습장전체이용가<NA><NA><NA>중심상업지역
12복합유통게임제공업03_05_04_P3410000CDFF22410320180000012018-01-17<NA>4취소/말소/만료/정지/중지35직권말소2019-04-10<NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동1가 15-1번지 지상2층대구광역시 중구 동성로3길 35, 지상2층 (삼덕동1가)41942쿵스2019-04-10 10:52:18U2019-04-12 02:40:00<NA>344203.891809264147.064731복합유통게임제공업유통관련업5기타노래연습장업, 청소년게임제공업452.352<NA>유통시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA>중심상업지역
23복합유통게임제공업03_05_04_P3410000CDFF22410320180000032018-05-24<NA>3폐업3폐업2020-12-04<NA><NA><NA><NA><NA><NA>대구광역시 중구 공평동 46-10 지상2층대구광역시 중구 동성로2길 49-12, 지상2층 (공평동)41941오빠네 놀이터2020-12-04 17:38:13U2020-12-06 02:40:00<NA>344084.239195264299.487868복합유통게임제공업유통관련업3기타청소년게임제공업, 노래연습장업123.522<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA>일반상업지역
34복합유통게임제공업03_05_04_P3410000CDFF22410320100000022010-12-23<NA>3폐업3폐업2014-06-18<NA><NA><NA>053-286-5658<NA><NA>대구광역시 중구 삼덕동1가 9-3번지 (지상3층)대구광역시 중구 동성로1길 29-36 (삼덕동1가,(지상3층))<NA>멀티스 멀티방2014-06-18 10:04:25I2018-08-31 23:59:59<NA>344024.512457264202.430695복합유통게임제공업유통관련업5학교정화(상대)노래연습장업178.023<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>청소년게임장업전체이용가<NA><NA><NA>일반상업지역
45복합유통게임제공업03_05_04_P3410000CDFF22410320080000012008-01-04<NA>3폐업3폐업2016-03-11<NA><NA><NA>053-428-6969<NA><NA>대구광역시 중구 삼덕동1가 18-7번지대구광역시 중구 동성로5길 45 (삼덕동1가)<NA>멀티플러스2016-03-18 13:09:59I2018-08-31 23:59:59<NA>344169.69527264233.013723복합유통게임제공업유통관련업6<NA>노래,영화감상,인터넷컴퓨터게임시설제공233.14<NA><NA><NA>40<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>노래,영화감상,인터넷컴퓨터게임시설제공전체이용가<NA><NA><NA>중심상업지역
56복합유통게임제공업03_05_04_P3410000CDFF22410320090000012009-07-03<NA>3폐업3폐업2013-08-19<NA><NA><NA>070-8610-6597<NA><NA>대구광역시 중구 삼덕동1가 22-28번지 4층대구광역시 중구 동성로5길 63 (삼덕동1가,4층)<NA>멀티벤치2013-08-19 16:43:20I2018-08-31 23:59:59<NA>344263.329336264211.806501복합유통게임제공업유통관련업6기타노래연습장,영화감상,인터넷컴퓨터게임시설제공업202.641근린생활시설<NA>40<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA>중심상업지역
67복합유통게임제공업03_05_04_P3410000CDFF22410320090000022009-10-15<NA>3폐업3폐업2013-06-17<NA><NA><NA>070-8224-0218<NA><NA>대구광역시 중구 공평동 39번지 지상2층대구광역시 중구 동성로6길 12-3 (공평동,지상2층)<NA>스마일멀티방2013-06-17 14:03:59I2018-08-31 23:59:59<NA>344078.445117264342.203911복합유통게임제공업유통관련업5기타노래242.7941근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA>중심상업지역
78복합유통게임제공업03_05_04_P3410000CDFF22410320170000012017-01-06<NA>3폐업3폐업2019-07-01<NA><NA><NA><NA><NA><NA>대구광역시 중구 대봉동 90-1번지 지상2층대구광역시 중구 대봉로47길 6 (대봉동, 지상2층)41955중독게임센터2019-07-01 14:37:19U2019-07-03 02:40:00<NA>344527.311274263312.473024복합유통게임제공업유통관련업3기타청소년게임제공업, 노래연습장업48.712<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>노래연습장업전체이용가<NA><NA><NA>일반주거지역
89복합유통게임제공업03_05_04_P3410000CDFF22410320110000012011-09-02<NA>3폐업3폐업2015-03-17<NA><NA><NA><NA><NA><NA>대구광역시 중구 공평동 55-34번지 외 1필지(지하1층)대구광역시 중구 동성로2길 50-13 (공평동,외 1필지(지하1층))<NA>게임천국2015-03-17 14:26:16I2018-08-31 23:59:59<NA>344202.539055264284.093343복합유통게임제공업유통관련업4유흥업소밀집지역<NA>225.841근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA>중심상업지역
910복합유통게임제공업03_05_04_P3410000CDFF22410320170000022017-02-10<NA>3폐업3폐업2019-07-16<NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동1가 7-6번지 지하1층대구광역시 중구 동성로2길 31 (삼덕동1가, 지하1층)41942브이알플러스 대구동성로점2019-07-16 17:08:02U2019-07-18 02:40:00<NA>344103.859509264199.779843복합유통게임제공업유통관련업5기타<NA>130.0<NA>1근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>청소년게임제공업, 인터넷컴퓨터게임시설제공업전체이용가<NA><NA><NA>중심상업지역
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
5960복합유통게임제공업03_05_04_P3470000CDFF22410320080000022008-06-24<NA>3폐업3폐업2015-02-11<NA><NA><NA><NA><NA><NA>대구광역시 달서구 신당동 1721-14번지대구광역시 달서구 계대동문로 11 (신당동)<NA>BEE(비) 멀티미디어카페2015-02-11 10:49:16I2018-08-31 23:59:59<NA>334828.990892262752.321733복합유통게임제공업유통관련업7학교정화(상대)<NA>249.9661근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>멀티방전체이용가<NA><NA><NA><NA>
6061복합유통게임제공업03_05_04_P3470000CDFF22410320180000012018-02-06<NA>3폐업3폐업2022-04-27<NA><NA><NA><NA><NA><NA>대구광역시 달서구 두류동 494-4대구광역시 달서구 달구벌대로 1704, 5층 (두류동)42645안녕,브이알(VR)2022-04-27 09:33:34U2022-04-29 02:40:00<NA>340128.488304262813.521521복합유통게임제공업유통관련업10<NA>식품접객업(휴게음식점)282.565<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>식품접객업(휴게음식점)<NA><NA><NA><NA>근린상업지역
6162복합유통게임제공업03_05_04_P3470000CDFF22410320110000022011-06-07<NA>3폐업3폐업2013-10-01<NA><NA><NA><NA><NA><NA>대구광역시 달서구 신당동 1721-17번지 (2,3층)대구광역시 달서구 계대동문로 5 (2, 3)층 (신당동)704-921까페고릴라2013-10-01 16:43:29I2018-08-31 23:59:59<NA>334785.46325262752.338541복합유통게임제공업유통관련업<NA>학교정화(상대)1개의기기에서게임.노래.영화감상등을제공403.2<NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>25<NA><NA><NA><NA><NA>일반주거지역
6263복합유통게임제공업03_05_04_P3470000CDFF22410320110000012011-04-28<NA>3폐업3폐업2023-08-03<NA><NA><NA>621-7733<NA><NA>대구광역시 달서구 송현동 1033-16 (3층)대구광역시 달서구 월배로 481 (송현동)42737오렌지멀티방2023-08-03 11:55:04U2023-08-05 02:40:00<NA>340519.170058260676.330672복합유통게임제공업유통관련업<NA><NA>1개의기기에서게임.노래.영화감상등을제공159.6641근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>101개의기기에서게임.노래.영화감상등을제공<NA><NA><NA><NA>근린상업지역
6364복합유통게임제공업03_05_04_P3480000CDFF22410320090000012009-02-20<NA>3폐업3폐업2012-02-16<NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 매곡리 1546-8번지대구광역시 달성군 다사읍 달구벌대로 863<NA>엔조이락 PC2012-02-16 14:15:23I2018-08-31 23:59:59<NA>332237.177954263095.169477복합유통게임제공업유통관련업9<NA>휴게음식점275.527<NA>근린생활시설<NA>60<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>116식품위생업전체이용가<NA><NA><NA>일반상업지역
6465복합유통게임제공업03_05_04_P3480000CDFF22410320230000012023-03-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍읍 중리 509-4대구광역시 달성군 현풍읍 테크노대로 40, 4층 403호43020오락게임카페2023-03-08 13:55:52I2023-03-10 00:41:14<NA>331168.897112244182.04785복합유통게임제공업유통관련업8<NA>노래연습장272.562근린생활시설0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA>전체이용가<NA><NA><NA>준공업지역
6566복합유통게임제공업03_05_04_P3480000CDFF22410320200000012020-03-11<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 서재리 139-1대구광역시 달성군 다사읍 서재로 144, 1층42925가족오락실 동전노래연습장2021-12-16 16:37:48U2021-12-18 02:40:00<NA>335186.778586265044.867747복합유통게임제공업유통관련업2<NA>노래연습장업+청소년게임제공업148.420<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>16<NA>전체이용가<NA><NA><NA><NA>
6667복합유통게임제공업03_05_04_P5141000CDFF22410320020000012002-01-31<NA>3폐업3폐업2007-12-04<NA><NA><NA>383-2996<NA>716-804대구광역시 군위군 군위읍 서부리 495-1대구광역시 군위군 군위읍 중앙6길 13-53<NA>블루넷PC방2007-12-04 10:10:58I2023-07-01 16:42:10<NA>340717.089393305561.772552복합유통게임제공업유통관련업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
6768복합유통게임제공업03_05_04_P5141000CDFF22410320010000012001-12-26<NA>4취소/말소/만료/정지/중지35직권말소2007-07-31<NA><NA><NA>383-2653<NA><NA>대구광역시 군위군 군위읍 서부리 429-14대구광역시 군위군 군위읍 중앙5길 13<NA>스타워즈2009-05-22 10:45:25I2023-07-01 16:42:10<NA>340728.650174305373.937063복합유통게임제공업유통관련업0<NA><NA>1.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
6869복합유통게임제공업03_05_04_P5141000CDFF22410320020000022002-10-29<NA>4취소/말소/만료/정지/중지35직권말소2008-07-31<NA><NA><NA>382-5525<NA><NA>대구광역시 군위군 효령면 중구리 112-1<NA><NA>버팔로PC 게임방2009-05-22 10:44:48I2023-07-01 16:42:10<NA>342751.387115295861.539368복합유통게임제공업유통관련업0<NA><NA>1.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>