Overview

Dataset statistics

Number of variables59
Number of observations61
Missing cells1474
Missing cells (%)41.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory30.6 KiB
Average record size in memory514.2 B

Variable types

Numeric13
Categorical18
Text7
Unsupported20
DateTime1

Dataset

Description22년11월_6270000_대구광역시_03_05_04_P_복합유통게임제공업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000097057&dataSetDetailId=DDI_0000097088&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
문화체육업종명 has constant value ""Constant
문화사업자구분명 has constant value ""Constant
통로너비 is highly imbalanced (59.1%)Imbalance
노래방실수 is highly imbalanced (59.1%)Imbalance
청소년실수 is highly imbalanced (59.1%)Imbalance
인허가취소일자 has 61 (100.0%) missing valuesMissing
폐업일자 has 20 (32.8%) missing valuesMissing
휴업시작일자 has 61 (100.0%) missing valuesMissing
휴업종료일자 has 61 (100.0%) missing valuesMissing
재개업일자 has 61 (100.0%) missing valuesMissing
소재지전화 has 40 (65.6%) missing valuesMissing
소재지면적 has 61 (100.0%) missing valuesMissing
소재지우편번호 has 49 (80.3%) missing valuesMissing
소재지전체주소 has 1 (1.6%) missing valuesMissing
도로명우편번호 has 21 (34.4%) missing valuesMissing
업태구분명 has 61 (100.0%) missing valuesMissing
총층수 has 8 (13.1%) missing valuesMissing
제작취급품목내용 has 26 (42.6%) missing valuesMissing
시설면적 has 3 (4.9%) missing valuesMissing
지상층수 has 10 (16.4%) missing valuesMissing
비상계단여부 has 61 (100.0%) missing valuesMissing
비상구여부 has 61 (100.0%) missing valuesMissing
자동환기여부 has 61 (100.0%) missing valuesMissing
청소년실여부 has 61 (100.0%) missing valuesMissing
특수조명여부 has 61 (100.0%) missing valuesMissing
방음시설여부 has 61 (100.0%) missing valuesMissing
비디오재생기명 has 61 (100.0%) missing valuesMissing
조명시설유무 has 61 (100.0%) missing valuesMissing
음향시설여부 has 61 (100.0%) missing valuesMissing
편의시설여부 has 61 (100.0%) missing valuesMissing
소방시설여부 has 61 (100.0%) missing valuesMissing
총게임기수 has 35 (57.4%) missing valuesMissing
기존게임업외업종명 has 41 (67.2%) missing valuesMissing
공연장형태구분명 has 61 (100.0%) missing valuesMissing
품목명 has 61 (100.0%) missing valuesMissing
최초등록시점 has 61 (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 1 (1.6%) zerosZeros
지상층수 has 2 (3.3%) zerosZeros
총게임기수 has 2 (3.3%) zerosZeros

Reproduction

Analysis started2024-04-18 09:31:38.532597
Analysis finished2024-04-18 09:31:39.186867
Duration0.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31
Minimum1
Maximum61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2024-04-18T18:31:39.265161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q116
median31
Q346
95-th percentile58
Maximum61
Range60
Interquartile range (IQR)30

Descriptive statistics

Standard deviation17.752934
Coefficient of variation (CV)0.57267529
Kurtosis-1.2
Mean31
Median Absolute Deviation (MAD)15
Skewness0
Sum1891
Variance315.16667
MonotonicityStrictly increasing
2024-04-18T18:31:39.398789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.6%
47 1
 
1.6%
34 1
 
1.6%
35 1
 
1.6%
36 1
 
1.6%
37 1
 
1.6%
38 1
 
1.6%
39 1
 
1.6%
40 1
 
1.6%
41 1
 
1.6%
Other values (51) 51
83.6%
ValueCountFrequency (%)
1 1
1.6%
2 1
1.6%
3 1
1.6%
4 1
1.6%
5 1
1.6%
6 1
1.6%
7 1
1.6%
8 1
1.6%
9 1
1.6%
10 1
1.6%
ValueCountFrequency (%)
61 1
1.6%
60 1
1.6%
59 1
1.6%
58 1
1.6%
57 1
1.6%
56 1
1.6%
55 1
1.6%
54 1
1.6%
53 1
1.6%
52 1
1.6%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
복합유통게임제공업
61 

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 61
100.0%

Length

2024-04-18T18:31:39.533068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T18:31:39.632208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
복합유통게임제공업 61
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
03_05_04_P
61 

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 61
100.0%

Length

2024-04-18T18:31:39.786101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T18:31:39.886918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_05_04_p 61
100.0%

개방자치단체코드
Real number (ℝ)

Distinct7
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3435409.8
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2024-04-18T18:31:39.967326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13410000
median3420000
Q33450000
95-th percentile3470000
Maximum3480000
Range70000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation24191.856
Coefficient of variation (CV)0.0070419127
Kurtosis-1.4646153
Mean3435409.8
Median Absolute Deviation (MAD)10000
Skewness0.3498458
Sum2.0956 × 108
Variance5.852459 × 108
MonotonicityIncreasing
2024-04-18T18:31:40.069264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3410000 19
31.1%
3420000 13
21.3%
3450000 12
19.7%
3470000 9
14.8%
3460000 4
 
6.6%
3440000 2
 
3.3%
3480000 2
 
3.3%
ValueCountFrequency (%)
3410000 19
31.1%
3420000 13
21.3%
3440000 2
 
3.3%
3450000 12
19.7%
3460000 4
 
6.6%
3470000 9
14.8%
3480000 2
 
3.3%
ValueCountFrequency (%)
3480000 2
 
3.3%
3470000 9
14.8%
3460000 4
 
6.6%
3450000 12
19.7%
3440000 2
 
3.3%
3420000 13
21.3%
3410000 19
31.1%
Distinct40
Distinct (%)65.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
2024-04-18T18:31:40.268649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1220
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 (%)45.9%

Sample

1st rowCDFF2241032017000004
2nd rowCDFF2241032018000001
3rd rowCDFF2241032018000003
4th rowCDFF2241032010000002
5th rowCDFF2241032008000001
ValueCountFrequency (%)
cdff2241032008000001 4
 
6.6%
cdff2241032018000001 3
 
4.9%
cdff2241032009000001 3
 
4.9%
cdff2241032011000001 3
 
4.9%
cdff2241032002000001 3
 
4.9%
cdff2241032020000001 3
 
4.9%
cdff2241032016000001 3
 
4.9%
cdff2241032013000001 3
 
4.9%
cdff2241032002000002 2
 
3.3%
cdff2241032008000002 2
 
3.3%
Other values (30) 32
52.5%
2024-04-18T18:31:40.585814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 454
37.2%
2 208
17.0%
1 138
 
11.3%
F 122
 
10.0%
3 69
 
5.7%
4 67
 
5.5%
C 61
 
5.0%
D 61
 
5.0%
8 16
 
1.3%
9 10
 
0.8%
Other values (3) 14
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 976
80.0%
Uppercase Letter 244
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 454
46.5%
2 208
21.3%
1 138
 
14.1%
3 69
 
7.1%
4 67
 
6.9%
8 16
 
1.6%
9 10
 
1.0%
7 6
 
0.6%
6 5
 
0.5%
5 3
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
F 122
50.0%
C 61
25.0%
D 61
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 976
80.0%
Latin 244
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 454
46.5%
2 208
21.3%
1 138
 
14.1%
3 69
 
7.1%
4 67
 
6.9%
8 16
 
1.6%
9 10
 
1.0%
7 6
 
0.6%
6 5
 
0.5%
5 3
 
0.3%
Latin
ValueCountFrequency (%)
F 122
50.0%
C 61
25.0%
D 61
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1220
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 454
37.2%
2 208
17.0%
1 138
 
11.3%
F 122
 
10.0%
3 69
 
5.7%
4 67
 
5.5%
C 61
 
5.0%
D 61
 
5.0%
8 16
 
1.3%
9 10
 
0.8%
Other values (3) 14
 
1.1%

인허가일자
Real number (ℝ)

Distinct59
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20118836
Minimum19980321
Maximum20221014
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2024-04-18T18:31:40.716561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19980321
5-th percentile20020417
Q120080528
median20110902
Q320171123
95-th percentile20200518
Maximum20221014
Range240693
Interquartile range (IQR)90595

Descriptive statistics

Standard deviation63883.635
Coefficient of variation (CV)0.0031753147
Kurtosis-0.94441809
Mean20118836
Median Absolute Deviation (MAD)59700
Skewness-0.36220491
Sum1.227249 × 109
Variance4.0811188 × 109
MonotonicityNot monotonic
2024-04-18T18:31:40.852828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20161213 2
 
3.3%
20040427 2
 
3.3%
20170831 1
 
1.6%
20080529 1
 
1.6%
20211207 1
 
1.6%
20110817 1
 
1.6%
20160323 1
 
1.6%
20020809 1
 
1.6%
20021218 1
 
1.6%
20050117 1
 
1.6%
Other values (49) 49
80.3%
ValueCountFrequency (%)
19980321 1
1.6%
19990213 1
1.6%
20011207 1
1.6%
20020417 1
1.6%
20020809 1
1.6%
20021125 1
1.6%
20021214 1
1.6%
20021218 1
1.6%
20031223 1
1.6%
20040427 2
3.3%
ValueCountFrequency (%)
20221014 1
1.6%
20211207 1
1.6%
20201102 1
1.6%
20200518 1
1.6%
20200513 1
1.6%
20200311 1
1.6%
20200121 1
1.6%
20190430 1
1.6%
20180803 1
1.6%
20180524 1
1.6%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B
Distinct3
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size620.0 B
3
40 
1
20 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
3 40
65.6%
1 20
32.8%
4 1
 
1.6%

Length

2024-04-18T18:31:40.970810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T18:31:41.058736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 40
65.6%
1 20
32.8%
4 1
 
1.6%

영업상태명
Categorical

Distinct3
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size620.0 B
폐업
40 
영업/정상
20 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length2
Mean length3.1803279
Min length2

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 40
65.6%
영업/정상 20
32.8%
취소/말소/만료/정지/중지 1
 
1.6%

Length

2024-04-18T18:31:41.155993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T18:31:41.255948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 40
65.6%
영업/정상 20
32.8%
취소/말소/만료/정지/중지 1
 
1.6%
Distinct3
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size620.0 B
3
40 
13
20 
35
 
1

Length

Max length2
Median length1
Mean length1.3442623
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
3 40
65.6%
13 20
32.8%
35 1
 
1.6%

Length

2024-04-18T18:31:41.382115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T18:31:41.498987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 40
65.6%
13 20
32.8%
35 1
 
1.6%
Distinct3
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size620.0 B
폐업
40 
영업중
20 
직권말소
 
1

Length

Max length4
Median length2
Mean length2.3606557
Min length2

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 40
65.6%
영업중 20
32.8%
직권말소 1
 
1.6%

Length

2024-04-18T18:31:41.611410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T18:31:41.721651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 40
65.6%
영업중 20
32.8%
직권말소 1
 
1.6%

폐업일자
Real number (ℝ)

MISSING 

Distinct39
Distinct (%)95.1%
Missing20
Missing (%)32.8%
Infinite0
Infinite (%)0.0%
Mean20139461
Minimum20041001
Maximum20220830
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2024-04-18T18:31:41.849735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20041001
5-th percentile20041001
Q120080508
median20140626
Q320191202
95-th percentile20220420
Maximum20220830
Range179829
Interquartile range (IQR)110694

Descriptive statistics

Standard deviation61356.756
Coefficient of variation (CV)0.0030465937
Kurtosis-1.261038
Mean20139461
Median Absolute Deviation (MAD)59978
Skewness-0.32922567
Sum8.2571792 × 108
Variance3.7646515 × 109
MonotonicityNot monotonic
2024-04-18T18:31:42.333961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
20041001 3
 
4.9%
20070831 1
 
1.6%
20080528 1
 
1.6%
20200604 1
 
1.6%
20140626 1
 
1.6%
20180731 1
 
1.6%
20210825 1
 
1.6%
20151223 1
 
1.6%
20130403 1
 
1.6%
20071115 1
 
1.6%
Other values (29) 29
47.5%
(Missing) 20
32.8%
ValueCountFrequency (%)
20041001 3
4.9%
20041022 1
 
1.6%
20050107 1
 
1.6%
20050509 1
 
1.6%
20050524 1
 
1.6%
20070528 1
 
1.6%
20070831 1
 
1.6%
20071115 1
 
1.6%
20080508 1
 
1.6%
20080528 1
 
1.6%
ValueCountFrequency (%)
20220830 1
1.6%
20220427 1
1.6%
20220420 1
1.6%
20211130 1
1.6%
20211018 1
1.6%
20210825 1
1.6%
20210105 1
1.6%
20201204 1
1.6%
20200604 1
1.6%
20200403 1
1.6%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

소재지전화
Text

MISSING 

Distinct21
Distinct (%)100.0%
Missing40
Missing (%)65.6%
Memory size620.0 B
2024-04-18T18:31:42.522159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.333333
Min length8

Characters and Unicode

Total characters217
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

Unique21 ?
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
 
4.8%
053)959-6400 1
 
4.8%
585-0918 1
 
4.8%
582-2403 1
 
4.8%
588-0110 1
 
4.8%
524-3107 1
 
4.8%
053-781-6606 1
 
4.8%
751-8929 1
 
4.8%
053-325-2965 1
 
4.8%
053-325-8588 1
 
4.8%
Other values (11) 11
52.4%
2024-04-18T18:31:42.895833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 29
13.4%
0 28
12.9%
5 26
12.0%
8 25
11.5%
3 23
10.6%
2 19
8.8%
6 15
6.9%
1 15
6.9%
9 14
6.5%
4 11
 
5.1%
Other values (2) 12
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 186
85.7%
Dash Punctuation 29
 
13.4%
Close Punctuation 2
 
0.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 28
15.1%
5 26
14.0%
8 25
13.4%
3 23
12.4%
2 19
10.2%
6 15
8.1%
1 15
8.1%
9 14
7.5%
4 11
 
5.9%
7 10
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 217
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 29
13.4%
0 28
12.9%
5 26
12.0%
8 25
11.5%
3 23
10.6%
2 19
8.8%
6 15
6.9%
1 15
6.9%
9 14
6.5%
4 11
 
5.1%
Other values (2) 12
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 217
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 29
13.4%
0 28
12.9%
5 26
12.0%
8 25
11.5%
3 23
10.6%
2 19
8.8%
6 15
6.9%
1 15
6.9%
9 14
6.5%
4 11
 
5.1%
Other values (2) 12
5.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)91.7%
Missing49
Missing (%)80.3%
Infinite0
Infinite (%)0.0%
Mean704275.67
Minimum701802
Maximum706839
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2024-04-18T18:31:43.056824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum701802
5-th percentile701811.35
Q1702828
median704928.5
Q3705157.75
95-th percentile706819.2
Maximum706839
Range5037
Interquartile range (IQR)2329.75

Descriptive statistics

Standard deviation1794.8934
Coefficient of variation (CV)0.0025485666
Kurtosis-1.3442317
Mean704275.67
Median Absolute Deviation (MAD)1892.5
Skewness-0.02297061
Sum8451308
Variance3221642.4
MonotonicityNot monotonic
2024-04-18T18:31:43.182033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
704936 2
 
3.3%
701819 1
 
1.6%
701802 1
 
1.6%
705811 1
 
1.6%
702851 1
 
1.6%
702831 1
 
1.6%
702819 1
 
1.6%
706803 1
 
1.6%
706839 1
 
1.6%
704940 1
 
1.6%
(Missing) 49
80.3%
ValueCountFrequency (%)
701802 1
1.6%
701819 1
1.6%
702819 1
1.6%
702831 1
1.6%
702851 1
1.6%
704921 1
1.6%
704936 2
3.3%
704940 1
1.6%
705811 1
1.6%
706803 1
1.6%
ValueCountFrequency (%)
706839 1
1.6%
706803 1
1.6%
705811 1
1.6%
704940 1
1.6%
704936 2
3.3%
704921 1
1.6%
702851 1
1.6%
702831 1
1.6%
702819 1
1.6%
701819 1
1.6%

소재지전체주소
Text

MISSING 

Distinct60
Distinct (%)100.0%
Missing1
Missing (%)1.6%
Memory size620.0 B
2024-04-18T18:31:43.481496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length29.5
Mean length25.216667
Min length17

Characters and Unicode

Total characters1513
Distinct characters106
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
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 60
21.1%
중구 19
 
6.7%
동구 12
 
4.2%
북구 12
 
4.2%
달서구 9
 
3.2%
삼덕동1가 8
 
2.8%
지상2층 6
 
2.1%
지하1층 5
 
1.8%
공평동 5
 
1.8%
신당동 4
 
1.4%
Other values (113) 145
50.9%
2024-04-18T18:31:43.922274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
285
18.8%
122
 
8.1%
1 78
 
5.2%
73
 
4.8%
69
 
4.6%
67
 
4.4%
61
 
4.0%
60
 
4.0%
60
 
4.0%
- 49
 
3.2%
Other values (96) 589
38.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 848
56.0%
Decimal Number 305
 
20.2%
Space Separator 285
 
18.8%
Dash Punctuation 49
 
3.2%
Close Punctuation 11
 
0.7%
Open Punctuation 11
 
0.7%
Other Punctuation 3
 
0.2%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
122
14.4%
73
 
8.6%
69
 
8.1%
67
 
7.9%
61
 
7.2%
60
 
7.1%
60
 
7.1%
45
 
5.3%
29
 
3.4%
19
 
2.2%
Other values (80) 243
28.7%
Decimal Number
ValueCountFrequency (%)
1 78
25.6%
2 46
15.1%
3 35
11.5%
0 27
 
8.9%
4 25
 
8.2%
5 23
 
7.5%
7 18
 
5.9%
6 18
 
5.9%
8 18
 
5.9%
9 17
 
5.6%
Space Separator
ValueCountFrequency (%)
285
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 49
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 848
56.0%
Common 665
44.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
122
14.4%
73
 
8.6%
69
 
8.1%
67
 
7.9%
61
 
7.2%
60
 
7.1%
60
 
7.1%
45
 
5.3%
29
 
3.4%
19
 
2.2%
Other values (80) 243
28.7%
Common
ValueCountFrequency (%)
285
42.9%
1 78
 
11.7%
- 49
 
7.4%
2 46
 
6.9%
3 35
 
5.3%
0 27
 
4.1%
4 25
 
3.8%
5 23
 
3.5%
7 18
 
2.7%
6 18
 
2.7%
Other values (6) 61
 
9.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 848
56.0%
ASCII 665
44.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
285
42.9%
1 78
 
11.7%
- 49
 
7.4%
2 46
 
6.9%
3 35
 
5.3%
0 27
 
4.1%
4 25
 
3.8%
5 23
 
3.5%
7 18
 
2.7%
6 18
 
2.7%
Other values (6) 61
 
9.2%
Hangul
ValueCountFrequency (%)
122
14.4%
73
 
8.6%
69
 
8.1%
67
 
7.9%
61
 
7.2%
60
 
7.1%
60
 
7.1%
45
 
5.3%
29
 
3.4%
19
 
2.2%
Other values (80) 243
28.7%
Distinct60
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size620.0 B
2024-04-18T18:31:44.230951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length37
Mean length30.229508
Min length22

Characters and Unicode

Total characters1844
Distinct characters122
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)96.7%

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 61
 
16.9%
중구 19
 
5.2%
동구 13
 
3.6%
북구 12
 
3.3%
달서구 9
 
2.5%
지하1층 8
 
2.2%
삼덕동1가 6
 
1.7%
2층 5
 
1.4%
지상2층 5
 
1.4%
수성구 4
 
1.1%
Other values (165) 220
60.8%
2024-04-18T18:31:44.665484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
318
 
17.2%
127
 
6.9%
100
 
5.4%
82
 
4.4%
1 76
 
4.1%
) 67
 
3.6%
( 67
 
3.6%
64
 
3.5%
62
 
3.4%
, 62
 
3.4%
Other values (112) 819
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1021
55.4%
Space Separator 318
 
17.2%
Decimal Number 296
 
16.1%
Close Punctuation 67
 
3.6%
Open Punctuation 67
 
3.6%
Other Punctuation 62
 
3.4%
Dash Punctuation 12
 
0.7%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
127
 
12.4%
100
 
9.8%
82
 
8.0%
64
 
6.3%
62
 
6.1%
61
 
6.0%
61
 
6.0%
46
 
4.5%
30
 
2.9%
29
 
2.8%
Other values (96) 359
35.2%
Decimal Number
ValueCountFrequency (%)
1 76
25.7%
2 61
20.6%
3 38
12.8%
4 31
10.5%
5 22
 
7.4%
0 18
 
6.1%
6 16
 
5.4%
7 12
 
4.1%
9 12
 
4.1%
8 10
 
3.4%
Space Separator
ValueCountFrequency (%)
318
100.0%
Close Punctuation
ValueCountFrequency (%)
) 67
100.0%
Open Punctuation
ValueCountFrequency (%)
( 67
100.0%
Other Punctuation
ValueCountFrequency (%)
, 62
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1021
55.4%
Common 823
44.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
127
 
12.4%
100
 
9.8%
82
 
8.0%
64
 
6.3%
62
 
6.1%
61
 
6.0%
61
 
6.0%
46
 
4.5%
30
 
2.9%
29
 
2.8%
Other values (96) 359
35.2%
Common
ValueCountFrequency (%)
318
38.6%
1 76
 
9.2%
) 67
 
8.1%
( 67
 
8.1%
, 62
 
7.5%
2 61
 
7.4%
3 38
 
4.6%
4 31
 
3.8%
5 22
 
2.7%
0 18
 
2.2%
Other values (6) 63
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1021
55.4%
ASCII 823
44.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
318
38.6%
1 76
 
9.2%
) 67
 
8.1%
( 67
 
8.1%
, 62
 
7.5%
2 61
 
7.4%
3 38
 
4.6%
4 31
 
3.8%
5 22
 
2.7%
0 18
 
2.2%
Other values (6) 63
 
7.7%
Hangul
ValueCountFrequency (%)
127
 
12.4%
100
 
9.8%
82
 
8.0%
64
 
6.3%
62
 
6.1%
61
 
6.0%
61
 
6.0%
46
 
4.5%
30
 
2.9%
29
 
2.8%
Other values (96) 359
35.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)75.0%
Missing21
Missing (%)34.4%
Infinite0
Infinite (%)0.0%
Mean91323.375
Minimum41026
Maximum704921
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2024-04-18T18:31:44.791088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41026
5-th percentile41068.9
Q141378.25
median41937
Q341942.25
95-th percentile701867.5
Maximum704921
Range663895
Interquartile range (IQR)564

Descriptive statistics

Standard deviation176450.98
Coefficient of variation (CV)1.9321557
Kurtosis9.7359311
Mean91323.375
Median Absolute Deviation (MAD)513
Skewness3.3542357
Sum3652935
Variance3.1134947 × 1010
MonotonicityNot monotonic
2024-04-18T18:31:44.901201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
41942 4
 
6.6%
41937 3
 
4.9%
41941 3
 
4.9%
41105 2
 
3.3%
41423 2
 
3.3%
41424 2
 
3.3%
41955 1
 
1.6%
41598 1
 
1.6%
42925 1
 
1.6%
42737 1
 
1.6%
Other values (20) 20
32.8%
(Missing) 21
34.4%
ValueCountFrequency (%)
41026 1
1.6%
41067 1
1.6%
41069 1
1.6%
41087 1
1.6%
41097 1
1.6%
41105 2
3.3%
41198 1
1.6%
41229 1
1.6%
41244 1
1.6%
41423 2
3.3%
ValueCountFrequency (%)
704921 1
1.6%
702865 1
1.6%
701815 1
1.6%
42925 1
1.6%
42737 1
1.6%
42645 1
1.6%
42498 1
1.6%
42272 1
1.6%
41955 1
1.6%
41943 1
1.6%
Distinct57
Distinct (%)93.4%
Missing0
Missing (%)0.0%
Memory size620.0 B
2024-04-18T18:31:45.138499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length13
Mean length6.9672131
Min length2

Characters and Unicode

Total characters425
Distinct characters143
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

Unique53 ?
Unique (%)86.9%

Sample

1st row아이존팝 대구동성로점
2nd row쿵스
3rd row오빠네 놀이터
4th row멀티스 멀티방
5th row멀티플러스
ValueCountFrequency (%)
오타쿠용산점 2
 
2.6%
짱오락실 2
 
2.6%
먹방pc 2
 
2.6%
올레pc 2
 
2.6%
아이존팝 2
 
2.6%
멀티방 2
 
2.6%
대구동성로점 2
 
2.6%
브이알 1
 
1.3%
복현점 1
 
1.3%
인터풀스pp방 1
 
1.3%
Other values (59) 59
77.6%
2024-04-18T18:31:45.568332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18
 
4.2%
15
 
3.5%
15
 
3.5%
P 14
 
3.3%
13
 
3.1%
C 12
 
2.8%
11
 
2.6%
10
 
2.4%
10
 
2.4%
10
 
2.4%
Other values (133) 297
69.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 353
83.1%
Uppercase Letter 40
 
9.4%
Space Separator 15
 
3.5%
Open Punctuation 4
 
0.9%
Close Punctuation 4
 
0.9%
Lowercase Letter 4
 
0.9%
Other Punctuation 3
 
0.7%
Decimal Number 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
18
 
5.1%
15
 
4.2%
13
 
3.7%
11
 
3.1%
10
 
2.8%
10
 
2.8%
10
 
2.8%
9
 
2.5%
8
 
2.3%
8
 
2.3%
Other values (112) 241
68.3%
Uppercase Letter
ValueCountFrequency (%)
P 14
35.0%
C 12
30.0%
V 3
 
7.5%
R 2
 
5.0%
M 2
 
5.0%
D 2
 
5.0%
E 2
 
5.0%
B 1
 
2.5%
G 1
 
2.5%
F 1
 
2.5%
Lowercase Letter
ValueCountFrequency (%)
t 1
25.0%
i 1
25.0%
n 1
25.0%
u 1
25.0%
Other Punctuation
ValueCountFrequency (%)
& 2
66.7%
, 1
33.3%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 353
83.1%
Latin 44
 
10.4%
Common 28
 
6.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
18
 
5.1%
15
 
4.2%
13
 
3.7%
11
 
3.1%
10
 
2.8%
10
 
2.8%
10
 
2.8%
9
 
2.5%
8
 
2.3%
8
 
2.3%
Other values (112) 241
68.3%
Latin
ValueCountFrequency (%)
P 14
31.8%
C 12
27.3%
V 3
 
6.8%
R 2
 
4.5%
M 2
 
4.5%
D 2
 
4.5%
E 2
 
4.5%
B 1
 
2.3%
G 1
 
2.3%
t 1
 
2.3%
Other values (4) 4
 
9.1%
Common
ValueCountFrequency (%)
15
53.6%
( 4
 
14.3%
) 4
 
14.3%
& 2
 
7.1%
, 1
 
3.6%
1 1
 
3.6%
2 1
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 353
83.1%
ASCII 72
 
16.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
18
 
5.1%
15
 
4.2%
13
 
3.7%
11
 
3.1%
10
 
2.8%
10
 
2.8%
10
 
2.8%
9
 
2.5%
8
 
2.3%
8
 
2.3%
Other values (112) 241
68.3%
ASCII
ValueCountFrequency (%)
15
20.8%
P 14
19.4%
C 12
16.7%
( 4
 
5.6%
) 4
 
5.6%
V 3
 
4.2%
R 2
 
2.8%
M 2
 
2.8%
& 2
 
2.8%
D 2
 
2.8%
Other values (11) 12
16.7%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0158439 × 1013
Minimum2.0041002 × 1013
Maximum2.0221014 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2024-04-18T18:31:45.717380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0041002 × 1013
5-th percentile2.0050107 × 1013
Q12.0130617 × 1013
median2.0180906 × 1013
Q32.0200925 × 1013
95-th percentile2.022083 × 1013
Maximum2.0221014 × 1013
Range1.8001209 × 1011
Interquartile range (IQR)7.0308033 × 1010

Descriptive statistics

Standard deviation5.6968771 × 1010
Coefficient of variation (CV)0.0028260507
Kurtosis-0.56714434
Mean2.0158439 × 1013
Median Absolute Deviation (MAD)3.0310023 × 1010
Skewness-0.83554954
Sum1.2296648 × 1015
Variance3.2454408 × 1021
MonotonicityNot monotonic
2024-04-18T18:31:45.862935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210105180059 1
 
1.6%
20151223090900 1
 
1.6%
20041022174809 1
 
1.6%
20211207172743 1
 
1.6%
20171230110117 1
 
1.6%
20220926142558 1
 
1.6%
20070831165702 1
 
1.6%
20050509104241 1
 
1.6%
20080528144316 1
 
1.6%
20200604134425 1
 
1.6%
Other values (51) 51
83.6%
ValueCountFrequency (%)
20041002101549 1
1.6%
20041019100604 1
1.6%
20041022174809 1
1.6%
20050107141752 1
1.6%
20050509104241 1
1.6%
20050524152213 1
1.6%
20070831165702 1
1.6%
20071008140142 1
1.6%
20071008140409 1
1.6%
20071115161940 1
1.6%
ValueCountFrequency (%)
20221014193047 1
1.6%
20220926142558 1
1.6%
20220919172954 1
1.6%
20220830114128 1
1.6%
20220823160031 1
1.6%
20220427093334 1
1.6%
20220420130646 1
1.6%
20211216163748 1
1.6%
20211207172743 1
1.6%
20211130163415 1
1.6%
Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size620.0 B
I
33 
U
28 

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 33
54.1%
U 28
45.9%

Length

2024-04-18T18:31:46.010905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T18:31:46.110456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 33
54.1%
u 28
45.9%
Distinct33
Distinct (%)54.1%
Missing0
Missing (%)0.0%
Memory size620.0 B
Minimum2018-08-31 23:59:59
Maximum2022-10-16 00:22:25
2024-04-18T18:31:46.257581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T18:31:46.389493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

좌표정보(X)
Real number (ℝ)

Distinct59
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean343954.26
Minimum332237.18
Maximum356353.92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2024-04-18T18:31:46.528867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum332237.18
5-th percentile334802.11
Q1340655.83
median344169.7
Q3346373.01
95-th percentile354791.89
Maximum356353.92
Range24116.737
Interquartile range (IQR)5717.1802

Descriptive statistics

Standard deviation5454.1779
Coefficient of variation (CV)0.015857277
Kurtosis0.15843531
Mean343954.26
Median Absolute Deviation (MAD)3115.2647
Skewness0.20998405
Sum20981210
Variance29748056
MonotonicityNot monotonic
2024-04-18T18:31:46.657989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
345339.559469493 2
 
3.3%
353185.225969568 2
 
3.3%
344182.352362019 1
 
1.6%
340567.388493189 1
 
1.6%
336669.393047273 1
 
1.6%
345244.20106915 1
 
1.6%
339649.960477 1
 
1.6%
343510.573192364 1
 
1.6%
345758.975343371 1
 
1.6%
341054.430533289 1
 
1.6%
Other values (49) 49
80.3%
ValueCountFrequency (%)
332237.177954415 1
1.6%
334785.333195964 1
1.6%
334785.463249906 1
1.6%
334802.110007161 1
1.6%
334828.990892002 1
1.6%
335186.778585713 1
1.6%
335921.02663432 1
1.6%
336669.393047273 1
1.6%
337858.032262568 1
1.6%
338231.087541115 1
1.6%
ValueCountFrequency (%)
356353.915440362 1
1.6%
355737.129428969 1
1.6%
355001.657580392 1
1.6%
354791.889641171 1
1.6%
353185.225969568 2
3.3%
352868.53664899 1
1.6%
350436.176028251 1
1.6%
348125.895698754 1
1.6%
348023.651512935 1
1.6%
347591.270009241 1
1.6%

좌표정보(Y)
Real number (ℝ)

Distinct59
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean264933.58
Minimum259196.37
Maximum272558.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2024-04-18T18:31:46.802318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum259196.37
5-th percentile260624.35
Q1263312.47
median264302.17
Q3265928.26
95-th percentile272406.43
Maximum272558.59
Range13362.214
Interquartile range (IQR)2615.791

Descriptive statistics

Standard deviation2990.9482
Coefficient of variation (CV)0.011289426
Kurtosis1.4158376
Mean264933.58
Median Absolute Deviation (MAD)1239.4222
Skewness0.99879328
Sum16160949
Variance8945771.1
MonotonicityNot monotonic
2024-04-18T18:31:46.968828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
266290.669590752 2
 
3.3%
263855.049934531 2
 
3.3%
264191.27238334 1
 
1.6%
260518.743056336 1
 
1.6%
267199.154770119 1
 
1.6%
267055.079261414 1
 
1.6%
271483.126925836 1
 
1.6%
266134.259920881 1
 
1.6%
267509.761053147 1
 
1.6%
272539.695670506 1
 
1.6%
Other values (49) 49
80.3%
ValueCountFrequency (%)
259196.37114885 1
1.6%
259297.712538705 1
1.6%
260518.743056336 1
1.6%
260624.346943152 1
1.6%
260676.330671976 1
1.6%
261097.579268529 1
1.6%
262605.902003227 1
1.6%
262696.822116364 1
1.6%
262752.321732832 1
1.6%
262752.338541226 1
1.6%
ValueCountFrequency (%)
272558.585333932 1
1.6%
272539.695670506 1
1.6%
272501.710869454 1
1.6%
272406.426940163 1
1.6%
271483.126925836 1
1.6%
270181.333116839 1
1.6%
269625.16699512 1
1.6%
267509.761053147 1
1.6%
267199.154770119 1
1.6%
267055.079261414 1
1.6%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
복합유통게임제공업
61 

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 61
100.0%

Length

2024-04-18T18:31:47.151022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T18:31:47.322350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
복합유통게임제공업 61
100.0%

문화사업자구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
유통관련업
61 

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 61
100.0%

Length

2024-04-18T18:31:47.453771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T18:31:47.618517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 61
100.0%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)22.6%
Missing8
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean5.6415094
Minimum0
Maximum16
Zeros1
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size681.0 B
2024-04-18T18:31:47.758137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median6
Q36
95-th percentile9.4
Maximum16
Range16
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.6825242
Coefficient of variation (CV)0.4754976
Kurtosis3.9892813
Mean5.6415094
Median Absolute Deviation (MAD)1
Skewness1.2815833
Sum299
Variance7.1959361
MonotonicityNot monotonic
2024-04-18T18:31:47.900849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
6 15
24.6%
5 9
14.8%
4 6
 
9.8%
3 5
 
8.2%
8 4
 
6.6%
7 4
 
6.6%
2 4
 
6.6%
9 2
 
3.3%
0 1
 
1.6%
16 1
 
1.6%
Other values (2) 2
 
3.3%
(Missing) 8
13.1%
ValueCountFrequency (%)
0 1
 
1.6%
2 4
 
6.6%
3 5
 
8.2%
4 6
 
9.8%
5 9
14.8%
6 15
24.6%
7 4
 
6.6%
8 4
 
6.6%
9 2
 
3.3%
10 1
 
1.6%
ValueCountFrequency (%)
16 1
 
1.6%
13 1
 
1.6%
10 1
 
1.6%
9 2
 
3.3%
8 4
 
6.6%
7 4
 
6.6%
6 15
24.6%
5 9
14.8%
4 6
 
9.8%
3 5
 
8.2%

주변환경명
Categorical

Distinct6
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Memory size620.0 B
기타
25 
<NA>
19 
유흥업소밀집지역
학교정화(상대)
아파트지역

Length

Max length8
Median length5
Mean length4.0983607
Min length2

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
기타 25
41.0%
<NA> 19
31.1%
유흥업소밀집지역 8
 
13.1%
학교정화(상대) 5
 
8.2%
아파트지역 3
 
4.9%
주택가주변 1
 
1.6%

Length

2024-04-18T18:31:48.038839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T18:31:48.183745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 25
41.0%
na 19
31.1%
유흥업소밀집지역 8
 
13.1%
학교정화(상대 5
 
8.2%
아파트지역 3
 
4.9%
주택가주변 1
 
1.6%
Distinct20
Distinct (%)57.1%
Missing26
Missing (%)42.6%
Memory size620.0 B
2024-04-18T18:31:48.368412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length21
Mean length11.885714
Min length2

Characters and Unicode

Total characters416
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 (%)42.9%

Sample

1st row노래연습장업, 청소년게임제공업
2nd row노래연습장업, 청소년게임제공업
3rd row청소년게임제공업, 노래연습장업
4th row노래연습장업
5th row노래,영화감상,인터넷컴퓨터게임시설제공
ValueCountFrequency (%)
노래연습장업 13
27.7%
청소년게임제공업 9
19.1%
휴게음식점 7
14.9%
노래연습장 2
 
4.3%
1개의기기에서게임.노래.영화감상등을제공 2
 
4.3%
인터넷컴퓨터게임시설제고업 1
 
2.1%
노래,영화감상,인터넷컴퓨터게임시설제공 1
 
2.1%
노래연습장,영화감상,인터넷컴퓨터게임시설제공업 1
 
2.1%
노래 1
 
2.1%
인터넷컴퓨터게임시설제공업 1
 
2.1%
Other values (9) 9
19.1%
2024-04-18T18:31:48.683279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32
 
7.7%
28
 
6.7%
23
 
5.5%
23
 
5.5%
20
 
4.8%
19
 
4.6%
19
 
4.6%
19
 
4.6%
18
 
4.3%
17
 
4.1%
Other values (45) 198
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 373
89.7%
Other Punctuation 21
 
5.0%
Space Separator 12
 
2.9%
Close Punctuation 2
 
0.5%
Math Symbol 2
 
0.5%
Decimal Number 2
 
0.5%
Open Punctuation 2
 
0.5%
Uppercase Letter 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
32
 
8.6%
28
 
7.5%
23
 
6.2%
23
 
6.2%
20
 
5.4%
19
 
5.1%
19
 
5.1%
19
 
5.1%
18
 
4.8%
17
 
4.6%
Other values (36) 155
41.6%
Other Punctuation
ValueCountFrequency (%)
, 17
81.0%
. 4
 
19.0%
Uppercase Letter
ValueCountFrequency (%)
C 1
50.0%
P 1
50.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Decimal Number
ValueCountFrequency (%)
1 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 373
89.7%
Common 41
 
9.9%
Latin 2
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
32
 
8.6%
28
 
7.5%
23
 
6.2%
23
 
6.2%
20
 
5.4%
19
 
5.1%
19
 
5.1%
19
 
5.1%
18
 
4.8%
17
 
4.6%
Other values (36) 155
41.6%
Common
ValueCountFrequency (%)
, 17
41.5%
12
29.3%
. 4
 
9.8%
) 2
 
4.9%
+ 2
 
4.9%
1 2
 
4.9%
( 2
 
4.9%
Latin
ValueCountFrequency (%)
C 1
50.0%
P 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 373
89.7%
ASCII 43
 
10.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
32
 
8.6%
28
 
7.5%
23
 
6.2%
23
 
6.2%
20
 
5.4%
19
 
5.1%
19
 
5.1%
19
 
5.1%
18
 
4.8%
17
 
4.6%
Other values (36) 155
41.6%
ASCII
ValueCountFrequency (%)
, 17
39.5%
12
27.9%
. 4
 
9.3%
) 2
 
4.7%
+ 2
 
4.7%
1 2
 
4.7%
( 2
 
4.7%
C 1
 
2.3%
P 1
 
2.3%

시설면적
Real number (ℝ)

MISSING 

Distinct57
Distinct (%)98.3%
Missing3
Missing (%)4.9%
Infinite0
Infinite (%)0.0%
Mean284.73138
Minimum48.71
Maximum1348.34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2024-04-18T18:31:48.807857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48.71
5-th percentile111.84
Q1157.275
median237.945
Q3337.3075
95-th percentile609.5445
Maximum1348.34
Range1299.63
Interquartile range (IQR)180.0325

Descriptive statistics

Standard deviation205.01271
Coefficient of variation (CV)0.72002149
Kurtosis12.414682
Mean284.73138
Median Absolute Deviation (MAD)83.5
Skewness2.9561595
Sum16514.42
Variance42030.212
MonotonicityNot monotonic
2024-04-18T18:31:48.948623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
111.84 2
 
3.3%
371.07 1
 
1.6%
118.65 1
 
1.6%
178.56 1
 
1.6%
304.12 1
 
1.6%
584.19 1
 
1.6%
152.5 1
 
1.6%
191.97 1
 
1.6%
207.88 1
 
1.6%
245.5 1
 
1.6%
Other values (47) 47
77.0%
(Missing) 3
 
4.9%
ValueCountFrequency (%)
48.71 1
1.6%
92.25 1
1.6%
111.84 2
3.3%
117.06 1
1.6%
117.21 1
1.6%
118.65 1
1.6%
123.52 1
1.6%
130.0 1
1.6%
144.0 1
1.6%
147.84 1
1.6%
ValueCountFrequency (%)
1348.34 1
1.6%
775.58 1
1.6%
753.22 1
1.6%
584.19 1
1.6%
491.28 1
1.6%
457.23 1
1.6%
452.35 1
1.6%
434.72 1
1.6%
425.59 1
1.6%
403.2 1
1.6%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)21.6%
Missing10
Missing (%)16.4%
Infinite0
Infinite (%)0.0%
Mean4.372549
Minimum0
Maximum35
Zeros2
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size681.0 B
2024-04-18T18:31:49.060282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median4
Q35
95-th percentile8
Maximum35
Range35
Interquartile range (IQR)3

Descriptive statistics

Standard deviation4.8783636
Coefficient of variation (CV)1.1156796
Kurtosis32.060891
Mean4.372549
Median Absolute Deviation (MAD)2
Skewness5.1833008
Sum223
Variance23.798431
MonotonicityNot monotonic
2024-04-18T18:31:49.169711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
4 14
23.0%
2 12
19.7%
3 7
11.5%
6 5
 
8.2%
5 4
 
6.6%
0 2
 
3.3%
7 2
 
3.3%
1 2
 
3.3%
35 1
 
1.6%
12 1
 
1.6%
(Missing) 10
16.4%
ValueCountFrequency (%)
0 2
 
3.3%
1 2
 
3.3%
2 12
19.7%
3 7
11.5%
4 14
23.0%
5 4
 
6.6%
6 5
 
8.2%
7 2
 
3.3%
9 1
 
1.6%
12 1
 
1.6%
ValueCountFrequency (%)
35 1
 
1.6%
12 1
 
1.6%
9 1
 
1.6%
7 2
 
3.3%
6 5
 
8.2%
5 4
 
6.6%
4 14
23.0%
3 7
11.5%
2 12
19.7%
1 2
 
3.3%

지하층수
Categorical

Distinct3
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size620.0 B
<NA>
39 
1
18 
0

Length

Max length4
Median length4
Mean length2.9180328
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> 39
63.9%
1 18
29.5%
0 4
 
6.6%

Length

2024-04-18T18:31:49.289274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T18:31:49.387244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
63.9%
1 18
29.5%
0 4
 
6.6%

건물용도명
Categorical

Distinct5
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size620.0 B
근린생활시설
40 
<NA>
14 
판매시설
 
4
기타
 
2
유통시설
 
1

Length

Max length6
Median length6
Mean length5.2459016
Min length2

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
근린생활시설 40
65.6%
<NA> 14
 
23.0%
판매시설 4
 
6.6%
기타 2
 
3.3%
유통시설 1
 
1.6%

Length

2024-04-18T18:31:49.494803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T18:31:49.612171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
근린생활시설 40
65.6%
na 14
 
23.0%
판매시설 4
 
6.6%
기타 2
 
3.3%
유통시설 1
 
1.6%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size620.0 B
<NA>
56 
0
 
5

Length

Max length4
Median length4
Mean length3.7540984
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> 56
91.8%
0 5
 
8.2%

Length

2024-04-18T18:31:49.744698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T18:31:49.878391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 56
91.8%
0 5
 
8.2%
Distinct6
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Memory size620.0 B
<NA>
42 
40
10 
0
 
4
60
 
3
120
 
1

Length

Max length4
Median length4
Mean length3.3442623
Min length1

Unique

Unique2 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 42
68.9%
40 10
 
16.4%
0 4
 
6.6%
60 3
 
4.9%
120 1
 
1.6%
100 1
 
1.6%

Length

2024-04-18T18:31:49.982454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T18:31:50.081539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
68.9%
40 10
 
16.4%
0 4
 
6.6%
60 3
 
4.9%
120 1
 
1.6%
100 1
 
1.6%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size620.0 B
<NA>
56 
0
 
5

Length

Max length4
Median length4
Mean length3.7540984
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> 56
91.8%
0 5
 
8.2%

Length

2024-04-18T18:31:50.203709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T18:31:50.300363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 56
91.8%
0 5
 
8.2%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size620.0 B
<NA>
56 
0
 
5

Length

Max length4
Median length4
Mean length3.7540984
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> 56
91.8%
0 5
 
8.2%

Length

2024-04-18T18:31:50.407780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T18:31:50.559961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 56
91.8%
0 5
 
8.2%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

총게임기수
Real number (ℝ)

MISSING  ZEROS 

Distinct24
Distinct (%)92.3%
Missing35
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean63.769231
Minimum0
Maximum195
Zeros2
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size681.0 B
2024-04-18T18:31:50.664436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.75
Q116.25
median34
Q3109.25
95-th percentile177
Maximum195
Range195
Interquartile range (IQR)93

Descriptive statistics

Standard deviation60.490203
Coefficient of variation (CV)0.94857978
Kurtosis-0.59145842
Mean63.769231
Median Absolute Deviation (MAD)25.5
Skewness0.83031299
Sum1658
Variance3659.0646
MonotonicityNot monotonic
2024-04-18T18:31:51.117665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 2
 
3.3%
10 2
 
3.3%
21 1
 
1.6%
116 1
 
1.6%
16 1
 
1.6%
25 1
 
1.6%
91 1
 
1.6%
103 1
 
1.6%
129 1
 
1.6%
180 1
 
1.6%
Other values (14) 14
 
23.0%
(Missing) 35
57.4%
ValueCountFrequency (%)
0 2
3.3%
7 1
1.6%
10 2
3.3%
12 1
1.6%
16 1
1.6%
17 1
1.6%
21 1
1.6%
25 1
1.6%
27 1
1.6%
29 1
1.6%
ValueCountFrequency (%)
195 1
1.6%
180 1
1.6%
168 1
1.6%
129 1
1.6%
128 1
1.6%
116 1
1.6%
111 1
1.6%
104 1
1.6%
103 1
1.6%
91 1
1.6%
Distinct14
Distinct (%)70.0%
Missing41
Missing (%)67.2%
Memory size620.0 B
2024-04-18T18:31:51.280801image/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%
휴게음식점 1
 
4.5%
인터넷 1
 
4.5%
청소년게임제공업+인터넷컴퓨터게임시설제공업 1
 
4.5%
게임장 1
 
4.5%
Other values (5) 5
22.7%
2024-04-18T18:31:51.595729image/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 (%)4.9%
Missing0
Missing (%)0.0%
Memory size620.0 B
전체이용가
38 
<NA>
22 
전체이용가 및 청소년이용불가
 
1

Length

Max length15
Median length5
Mean length4.8032787
Min length4

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
전체이용가 38
62.3%
<NA> 22
36.1%
전체이용가 및 청소년이용불가 1
 
1.6%

Length

2024-04-18T18:31:51.731652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T18:31:51.831549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전체이용가 39
61.9%
na 22
34.9%
1
 
1.6%
청소년이용불가 1
 
1.6%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

지역구분명
Categorical

Distinct9
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Memory size620.0 B
중심상업지역
20 
일반상업지역
12 
일반주거지역
<NA>
상업지역
Other values (4)

Length

Max length6
Median length6
Mean length5.5245902
Min length4

Unique

Unique2 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
중심상업지역 20
32.8%
일반상업지역 12
19.7%
일반주거지역 9
14.8%
<NA> 8
 
13.1%
상업지역 4
 
6.6%
준주거지역 3
 
4.9%
근린상업지역 3
 
4.9%
주거지역 1
 
1.6%
일반공업지역 1
 
1.6%

Length

2024-04-18T18:31:51.951977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T18:31:52.093147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중심상업지역 20
32.8%
일반상업지역 12
19.7%
일반주거지역 9
14.8%
na 8
 
13.1%
상업지역 4
 
6.6%
준주거지역 3
 
4.9%
근린상업지역 3
 
4.9%
주거지역 1
 
1.6%
일반공업지역 1
 
1.6%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
01복합유통게임제공업03_05_04_P3410000CDFF224103201700000420170831<NA>3폐업3폐업20210105<NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동1가 17-16 지하1층대구광역시 중구 동성로5길 50, 지하1층 (삼덕동1가)41942아이존팝 대구동성로점20210105180059U2021-01-07 02:40:00.0<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_P3410000CDFF224103201800000120180117<NA>4취소/말소/만료/정지/중지35직권말소20190410<NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동1가 15-1번지 지상2층대구광역시 중구 동성로3길 35, 지상2층 (삼덕동1가)41942쿵스20190410105218U2019-04-12 02:40:00.0<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_P3410000CDFF224103201800000320180524<NA>3폐업3폐업20201204<NA><NA><NA><NA><NA><NA>대구광역시 중구 공평동 46-10 지상2층대구광역시 중구 동성로2길 49-12, 지상2층 (공평동)41941오빠네 놀이터20201204173813U2020-12-06 02:40:00.0<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_P3410000CDFF224103201000000220101223<NA>3폐업3폐업20140618<NA><NA><NA>053-286-5658<NA><NA>대구광역시 중구 삼덕동1가 9-3번지 (지상3층)대구광역시 중구 동성로1길 29-36 (삼덕동1가,(지상3층))<NA>멀티스 멀티방20140618100425I2018-08-31 23:59:59.0<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_P3410000CDFF224103200800000120080104<NA>3폐업3폐업20160311<NA><NA><NA>053-428-6969<NA><NA>대구광역시 중구 삼덕동1가 18-7번지대구광역시 중구 동성로5길 45 (삼덕동1가)<NA>멀티플러스20160318130959I2018-08-31 23:59:59.0<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_P3410000CDFF224103200900000120090703<NA>3폐업3폐업20130819<NA><NA><NA>070-8610-6597<NA><NA>대구광역시 중구 삼덕동1가 22-28번지 4층대구광역시 중구 동성로5길 63 (삼덕동1가,4층)<NA>멀티벤치20130819164320I2018-08-31 23:59:59.0<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_P3410000CDFF224103200900000220091015<NA>3폐업3폐업20130617<NA><NA><NA>070-8224-0218<NA><NA>대구광역시 중구 공평동 39번지 지상2층대구광역시 중구 동성로6길 12-3 (공평동,지상2층)<NA>스마일멀티방20130617140359I2018-08-31 23:59:59.0<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_P3410000CDFF224103201700000120170106<NA>3폐업3폐업20190701<NA><NA><NA><NA><NA><NA>대구광역시 중구 대봉동 90-1번지 지상2층대구광역시 중구 대봉로47길 6 (대봉동, 지상2층)41955중독게임센터20190701143719U2019-07-03 02:40:00.0<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_P3410000CDFF224103201100000120110902<NA>3폐업3폐업20150317<NA><NA><NA><NA><NA><NA>대구광역시 중구 공평동 55-34번지 외 1필지(지하1층)대구광역시 중구 동성로2길 50-13 (공평동,외 1필지(지하1층))<NA>게임천국20150317142616I2018-08-31 23:59:59.0<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_P3410000CDFF224103201700000220170210<NA>3폐업3폐업20190716<NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동1가 7-6번지 지하1층대구광역시 중구 동성로2길 31 (삼덕동1가, 지하1층)41942브이알플러스 대구동성로점20190716170802U2019-07-18 02:40:00.0<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
5152복합유통게임제공업03_05_04_P3470000CDFF224103200400000120040427<NA>3폐업3폐업20041001<NA><NA><NA>524-3107<NA>704936대구광역시 달서구 용산동 920-1번지 (2층)대구광역시 달서구 용산큰못2길 22 (용산동,(2층))<NA>오타쿠용산점20041002101549I2018-08-31 23:59:59.0<NA>337858.032263263278.729154복합유통게임제공업유통관련업2기타<NA>111.842<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>준주거지역
5253복합유통게임제공업03_05_04_P3470000CDFF224103200200000220020417<NA>3폐업3폐업20050524<NA><NA><NA>588-0110<NA>704940대구광역시 달서구 이곡동 1200-6번지 (지상3층)대구광역시 달서구 이곡서로 14 (이곡동,(지상3층))<NA>인터DVD시네마20050524152213I2018-08-31 23:59:59.0<NA>335921.026634262605.902003복합유통게임제공업유통관련업6<NA><NA>195.23<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반상업지역
5354복합유통게임제공업03_05_04_P3470000CDFF224103200200000120021125<NA>3폐업3폐업20050107<NA><NA><NA>582-2403<NA>704921대구광역시 달서구 신당동 1721-4번지 (지상4층)대구광역시 달서구 서당로9길 47 (신당동,(지상4층))<NA>사이버멀티피시20050107141752I2018-08-31 23:59:59.0<NA>334785.333196262777.401588복합유통게임제공업유통관련업7<NA><NA>213.94<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5455복합유통게임제공업03_05_04_P3470000CDFF224103200800000120080602<NA>3폐업3폐업20130530<NA><NA><NA>585-0918<NA><NA>대구광역시 달서구 신당동 1790-5번지 (1,2층)대구광역시 달서구 계대동문로 8 (신당동,(1,2층))<NA>조이플러스20130530163251I2018-08-31 23:59:59.0<NA>334802.110007262696.822116복합유통게임제공업유통관련업6학교정화(상대)노래연습장업322.246<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>노래연습장업<NA><NA><NA><NA>일반주거지역
5556복합유통게임제공업03_05_04_P3470000CDFF224103200800000220080624<NA>3폐업3폐업20150211<NA><NA><NA><NA><NA><NA>대구광역시 달서구 신당동 1721-14번지대구광역시 달서구 계대동문로 11 (신당동)<NA>BEE(비) 멀티미디어카페20150211104916I2018-08-31 23:59:59.0<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>
5657복합유통게임제공업03_05_04_P3470000CDFF224103201100000220110607<NA>3폐업3폐업20131001<NA><NA><NA><NA><NA><NA>대구광역시 달서구 신당동 1721-17번지 (2,3층)대구광역시 달서구 계대동문로 5 (2, 3)층 (신당동)704921까페고릴라20131001164329I2018-08-31 23:59:59.0<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
5758복합유통게임제공업03_05_04_P3470000CDFF224103201800000120180206<NA>3폐업3폐업20220427<NA><NA><NA><NA><NA><NA>대구광역시 달서구 두류동 494-4대구광역시 달서구 달구벌대로 1704, 5층 (두류동)42645안녕,브이알(VR)20220427093334U2022-04-29 02:40:00.0<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
5859복합유통게임제공업03_05_04_P3470000CDFF224103201100000120110428<NA>1영업/정상13영업중<NA><NA><NA><NA>621-7733<NA><NA>대구광역시 달서구 송현동 1033-16번지 (3층)대구광역시 달서구 월배로 481 (송현동)42737오렌지멀티방20151006130147I2018-08-31 23:59:59.0<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
5960복합유통게임제공업03_05_04_P3480000CDFF224103202000000120200311<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 서재리 139-1대구광역시 달성군 다사읍 서재로 144, 1층42925가족오락실 동전노래연습장20211216163748U2021-12-18 02:40:00.0<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>
6061복합유통게임제공업03_05_04_P3480000CDFF224103200900000120090220<NA>3폐업3폐업20120216<NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 매곡리 1546-8번지대구광역시 달성군 다사읍 달구벌대로 863<NA>엔조이락 PC20120216141523I2018-08-31 23:59:59.0<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