Overview

Dataset statistics

Number of variables60
Number of observations145
Missing cells3817
Missing cells (%)43.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory73.0 KiB
Average record size in memory515.9 B

Variable types

Numeric9
Categorical18
Text8
DateTime5
Unsupported20

Dataset

Description2023-08-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123035

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
문화체육업종명 has constant value ""Constant
문화사업자구분명 has constant value ""Constant
주변환경명 is highly imbalanced (67.6%)Imbalance
건물용도명 is highly imbalanced (51.1%)Imbalance
지역구분명 is highly imbalanced (55.6%)Imbalance
인허가취소일자 has 135 (93.1%) missing valuesMissing
폐업일자 has 61 (42.1%) missing valuesMissing
휴업시작일자 has 145 (100.0%) missing valuesMissing
휴업종료일자 has 145 (100.0%) missing valuesMissing
재개업일자 has 145 (100.0%) missing valuesMissing
소재지전화 has 121 (83.4%) missing valuesMissing
소재지면적 has 145 (100.0%) missing valuesMissing
소재지우편번호 has 136 (93.8%) missing valuesMissing
도로명전체주소 has 5 (3.4%) missing valuesMissing
도로명우편번호 has 33 (22.8%) missing valuesMissing
업태구분명 has 145 (100.0%) missing valuesMissing
좌표정보(x) has 3 (2.1%) missing valuesMissing
좌표정보(y) has 3 (2.1%) missing valuesMissing
총층수 has 62 (42.8%) missing valuesMissing
시설면적 has 4 (2.8%) missing valuesMissing
지상층수 has 44 (30.3%) missing valuesMissing
조명시설조도 has 108 (74.5%) missing valuesMissing
비상계단여부 has 145 (100.0%) missing valuesMissing
비상구여부 has 145 (100.0%) missing valuesMissing
자동환기여부 has 145 (100.0%) missing valuesMissing
청소년실여부 has 145 (100.0%) missing valuesMissing
특수조명여부 has 145 (100.0%) missing valuesMissing
방음시설여부 has 145 (100.0%) missing valuesMissing
비디오재생기명 has 145 (100.0%) missing valuesMissing
조명시설유무 has 145 (100.0%) missing valuesMissing
음향시설여부 has 145 (100.0%) missing valuesMissing
편의시설여부 has 145 (100.0%) missing valuesMissing
소방시설여부 has 145 (100.0%) missing valuesMissing
총게임기수 has 84 (57.9%) missing valuesMissing
기존게임업외업종명 has 117 (80.7%) missing valuesMissing
공연장형태구분명 has 145 (100.0%) missing valuesMissing
품목명 has 145 (100.0%) missing valuesMissing
최초등록시점 has 145 (100.0%) missing valuesMissing
Unnamed: 59 has 145 (100.0%) missing valuesMissing
번호 has unique valuesUnique
최종수정시점 has unique valuesUnique
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
Unnamed: 59 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 has 17 (11.7%) zerosZeros
지상층수 has 15 (10.3%) zerosZeros
조명시설조도 has 22 (15.2%) zerosZeros
총게임기수 has 8 (5.5%) zerosZeros

Reproduction

Analysis started2024-04-21 11:01:27.428701
Analysis finished2024-04-21 11:01:28.749685
Duration1.32 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct145
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73
Minimum1
Maximum145
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-21T20:01:28.936445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.2
Q137
median73
Q3109
95-th percentile137.8
Maximum145
Range144
Interquartile range (IQR)72

Descriptive statistics

Standard deviation42.001984
Coefficient of variation (CV)0.57536964
Kurtosis-1.2
Mean73
Median Absolute Deviation (MAD)36
Skewness0
Sum10585
Variance1764.1667
MonotonicityStrictly increasing
2024-04-21T20:01:29.376579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
110 1
 
0.7%
94 1
 
0.7%
95 1
 
0.7%
96 1
 
0.7%
97 1
 
0.7%
98 1
 
0.7%
99 1
 
0.7%
100 1
 
0.7%
101 1
 
0.7%
Other values (135) 135
93.1%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
145 1
0.7%
144 1
0.7%
143 1
0.7%
142 1
0.7%
141 1
0.7%
140 1
0.7%
139 1
0.7%
138 1
0.7%
137 1
0.7%
136 1
0.7%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
복합유통게임제공업
145 

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 145
100.0%

Length

2024-04-21T20:01:29.801980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T20:01:30.109267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
복합유통게임제공업 145
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
03_05_04_P
145 

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 145
100.0%

Length

2024-04-21T20:01:30.437732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T20:01:30.701411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_05_04_p 145
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3326344.8
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-21T20:01:30.873669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3250000
Q13290000
median3330000
Q33350000
95-th percentile3400000
Maximum3400000
Range150000
Interquartile range (IQR)60000

Descriptive statistics

Standard deviation42374.222
Coefficient of variation (CV)0.012738975
Kurtosis-0.74953278
Mean3326344.8
Median Absolute Deviation (MAD)30000
Skewness0.14820128
Sum4.8232 × 108
Variance1.7955747 × 109
MonotonicityIncreasing
2024-04-21T20:01:31.088290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3290000 21
14.5%
3340000 15
10.3%
3330000 14
9.7%
3300000 14
9.7%
3310000 14
9.7%
3400000 13
9.0%
3350000 13
9.0%
3250000 10
6.9%
3380000 7
 
4.8%
3390000 7
 
4.8%
Other values (6) 17
11.7%
ValueCountFrequency (%)
3250000 10
6.9%
3260000 2
 
1.4%
3270000 2
 
1.4%
3280000 3
 
2.1%
3290000 21
14.5%
3300000 14
9.7%
3310000 14
9.7%
3320000 5
 
3.4%
3330000 14
9.7%
3340000 15
10.3%
ValueCountFrequency (%)
3400000 13
9.0%
3390000 7
4.8%
3380000 7
4.8%
3370000 3
 
2.1%
3360000 2
 
1.4%
3350000 13
9.0%
3340000 15
10.3%
3330000 14
9.7%
3320000 5
 
3.4%
3310000 14
9.7%
Distinct53
Distinct (%)36.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-04-21T20:01:31.775956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters2900
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

Unique15 ?
Unique (%)10.3%

Sample

1st rowCDFF2241032003000001
2nd rowCDFF2241032008000001
3rd rowCDFF2241032015000001
4th rowCDFF2241032017000002
5th rowCDFF2241032017000003
ValueCountFrequency (%)
cdff2241032017000001 8
 
5.5%
cdff2241032013000001 8
 
5.5%
cdff2241032009000001 7
 
4.8%
cdff2241032019000001 6
 
4.1%
cdff2241032008000001 6
 
4.1%
cdff2241032018000001 6
 
4.1%
cdff2241032010000001 5
 
3.4%
cdff2241032011000001 5
 
3.4%
cdff2241032020000001 5
 
3.4%
cdff2241032016000001 4
 
2.8%
Other values (43) 85
58.6%
2024-04-21T20:01:32.667459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1068
36.8%
2 490
16.9%
1 335
 
11.6%
F 290
 
10.0%
3 178
 
6.1%
4 159
 
5.5%
C 145
 
5.0%
D 145
 
5.0%
9 34
 
1.2%
8 20
 
0.7%
Other values (3) 36
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2320
80.0%
Uppercase Letter 580
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1068
46.0%
2 490
21.1%
1 335
 
14.4%
3 178
 
7.7%
4 159
 
6.9%
9 34
 
1.5%
8 20
 
0.9%
7 19
 
0.8%
5 10
 
0.4%
6 7
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
F 290
50.0%
C 145
25.0%
D 145
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2320
80.0%
Latin 580
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1068
46.0%
2 490
21.1%
1 335
 
14.4%
3 178
 
7.7%
4 159
 
6.9%
9 34
 
1.5%
8 20
 
0.9%
7 19
 
0.8%
5 10
 
0.4%
6 7
 
0.3%
Latin
ValueCountFrequency (%)
F 290
50.0%
C 145
25.0%
D 145
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2900
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1068
36.8%
2 490
16.9%
1 335
 
11.6%
F 290
 
10.0%
3 178
 
6.1%
4 159
 
5.5%
C 145
 
5.0%
D 145
 
5.0%
9 34
 
1.2%
8 20
 
0.7%
Other values (3) 36
 
1.2%
Distinct138
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2002-01-11 00:00:00
Maximum2023-06-26 00:00:00
2024-04-21T20:01:32.906730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T20:01:33.166675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Date

MISSING 

Distinct10
Distinct (%)100.0%
Missing135
Missing (%)93.1%
Memory size1.3 KiB
Minimum2009-09-21 00:00:00
Maximum2016-09-28 00:00:00
2024-04-21T20:01:33.384100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T20:01:33.555834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
3
76 
1
51 
4
18 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 76
52.4%
1 51
35.2%
4 18
 
12.4%

Length

2024-04-21T20:01:33.832158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T20:01:34.152066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 76
52.4%
1 51
35.2%
4 18
 
12.4%

영업상태명
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
폐업
76 
영업/정상
51 
취소/말소/만료/정지/중지
18 

Length

Max length14
Median length2
Mean length4.5448276
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 76
52.4%
영업/정상 51
35.2%
취소/말소/만료/정지/중지 18
 
12.4%

Length

2024-04-21T20:01:34.524568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T20:01:34.856482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 76
52.4%
영업/정상 51
35.2%
취소/말소/만료/정지/중지 18
 
12.4%
Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
3
76 
13
51 
31
10 
35

Length

Max length2
Median length1
Mean length1.4758621
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 76
52.4%
13 51
35.2%
31 10
 
6.9%
35 8
 
5.5%

Length

2024-04-21T20:01:35.230428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T20:01:35.517457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 76
52.4%
13 51
35.2%
31 10
 
6.9%
35 8
 
5.5%
Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
폐업
76 
영업중
51 
등록취소
10 
직권말소

Length

Max length4
Median length2
Mean length2.6
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 76
52.4%
영업중 51
35.2%
등록취소 10
 
6.9%
직권말소 8
 
5.5%

Length

2024-04-21T20:01:35.734870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T20:01:35.940876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 76
52.4%
영업중 51
35.2%
등록취소 10
 
6.9%
직권말소 8
 
5.5%

폐업일자
Date

MISSING 

Distinct82
Distinct (%)97.6%
Missing61
Missing (%)42.1%
Memory size1.3 KiB
Minimum2005-03-04 00:00:00
Maximum2023-06-07 00:00:00
2024-04-21T20:01:36.142156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T20:01:36.381787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing145
Missing (%)100.0%
Memory size1.4 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing145
Missing (%)100.0%
Memory size1.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing145
Missing (%)100.0%
Memory size1.4 KiB

소재지전화
Text

MISSING 

Distinct24
Distinct (%)100.0%
Missing121
Missing (%)83.4%
Memory size1.3 KiB
2024-04-21T20:01:37.008085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length8
Mean length9.2083333
Min length7

Characters and Unicode

Total characters221
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

Unique24 ?
Unique (%)100.0%

Sample

1st row231-2929
2nd row051-254-7373
3rd row466-4520
4th row415-3752
5th row815-5050
ValueCountFrequency (%)
051-626-0632 1
 
4.2%
051-254-7373 1
 
4.2%
051-626-1178 1
 
4.2%
0517314410 1
 
4.2%
514-5582 1
 
4.2%
051-582-2525 1
 
4.2%
516-3737 1
 
4.2%
293-2654 1
 
4.2%
264-4640 1
 
4.2%
051-749-2611 1
 
4.2%
Other values (14) 14
58.3%
2024-04-21T20:01:37.838395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 29
13.1%
5 27
12.2%
2 27
12.2%
1 25
11.3%
6 24
10.9%
0 19
8.6%
8 17
7.7%
4 16
7.2%
7 16
7.2%
3 13
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 192
86.9%
Dash Punctuation 29
 
13.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 27
14.1%
2 27
14.1%
1 25
13.0%
6 24
12.5%
0 19
9.9%
8 17
8.9%
4 16
8.3%
7 16
8.3%
3 13
6.8%
9 8
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 221
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 29
13.1%
5 27
12.2%
2 27
12.2%
1 25
11.3%
6 24
10.9%
0 19
8.6%
8 17
7.7%
4 16
7.2%
7 16
7.2%
3 13
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 221
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 29
13.1%
5 27
12.2%
2 27
12.2%
1 25
11.3%
6 24
10.9%
0 19
8.6%
8 17
7.7%
4 16
7.2%
7 16
7.2%
3 13
5.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing145
Missing (%)100.0%
Memory size1.4 KiB

소재지우편번호
Text

MISSING 

Distinct9
Distinct (%)100.0%
Missing136
Missing (%)93.8%
Memory size1.3 KiB
2024-04-21T20:01:38.362222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters63
Distinct characters10
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

Unique9 ?
Unique (%)100.0%

Sample

1st row600-046
2nd row602-011
3rd row601-010
4th row614-847
5th row616-852
ValueCountFrequency (%)
600-046 1
11.1%
602-011 1
11.1%
601-010 1
11.1%
614-847 1
11.1%
616-852 1
11.1%
612-842 1
11.1%
604-040 1
11.1%
604-080 1
11.1%
609-850 1
11.1%
2024-04-21T20:01:39.055018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 16
25.4%
6 11
17.5%
- 9
14.3%
4 7
11.1%
1 7
11.1%
8 5
 
7.9%
2 4
 
6.3%
5 2
 
3.2%
7 1
 
1.6%
9 1
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 54
85.7%
Dash Punctuation 9
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 16
29.6%
6 11
20.4%
4 7
13.0%
1 7
13.0%
8 5
 
9.3%
2 4
 
7.4%
5 2
 
3.7%
7 1
 
1.9%
9 1
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 63
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 16
25.4%
6 11
17.5%
- 9
14.3%
4 7
11.1%
1 7
11.1%
8 5
 
7.9%
2 4
 
6.3%
5 2
 
3.2%
7 1
 
1.6%
9 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 63
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 16
25.4%
6 11
17.5%
- 9
14.3%
4 7
11.1%
1 7
11.1%
8 5
 
7.9%
2 4
 
6.3%
5 2
 
3.2%
7 1
 
1.6%
9 1
 
1.6%
Distinct139
Distinct (%)96.5%
Missing1
Missing (%)0.7%
Memory size1.3 KiB
2024-04-21T20:01:40.139905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length34
Mean length23.604167
Min length17

Characters and Unicode

Total characters3399
Distinct characters158
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique134 ?
Unique (%)93.1%

Sample

1st row부산광역시 중구 남포동6가 97-2번지
2nd row부산광역시 중구 광복동3가 1-3번지
3rd row부산광역시 중구 창선동1가 12-1번지
4th row부산광역시 중구 남포동5가 24-1
5th row부산광역시 중구 창선동2가 46-3번지
ValueCountFrequency (%)
부산광역시 144
 
21.8%
부산진구 21
 
3.2%
사하구 15
 
2.3%
부전동 14
 
2.1%
동래구 14
 
2.1%
해운대구 14
 
2.1%
남구 14
 
2.1%
금정구 13
 
2.0%
기장군 13
 
2.0%
대연동 12
 
1.8%
Other values (256) 386
58.5%
2024-04-21T20:01:41.660244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
516
 
15.2%
183
 
5.4%
172
 
5.1%
152
 
4.5%
151
 
4.4%
146
 
4.3%
1 146
 
4.3%
144
 
4.2%
- 139
 
4.1%
132
 
3.9%
Other values (148) 1518
44.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2025
59.6%
Decimal Number 696
 
20.5%
Space Separator 516
 
15.2%
Dash Punctuation 139
 
4.1%
Open Punctuation 7
 
0.2%
Close Punctuation 7
 
0.2%
Uppercase Letter 4
 
0.1%
Other Punctuation 3
 
0.1%
Letter Number 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
183
 
9.0%
172
 
8.5%
152
 
7.5%
151
 
7.5%
146
 
7.2%
144
 
7.1%
132
 
6.5%
109
 
5.4%
95
 
4.7%
32
 
1.6%
Other values (128) 709
35.0%
Decimal Number
ValueCountFrequency (%)
1 146
21.0%
2 99
14.2%
3 82
11.8%
5 79
11.4%
4 76
10.9%
6 50
 
7.2%
0 48
 
6.9%
7 45
 
6.5%
8 40
 
5.7%
9 31
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
B 2
50.0%
X 1
25.0%
Y 1
25.0%
Space Separator
ValueCountFrequency (%)
516
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 139
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2025
59.6%
Common 1369
40.3%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
183
 
9.0%
172
 
8.5%
152
 
7.5%
151
 
7.5%
146
 
7.2%
144
 
7.1%
132
 
6.5%
109
 
5.4%
95
 
4.7%
32
 
1.6%
Other values (128) 709
35.0%
Common
ValueCountFrequency (%)
516
37.7%
1 146
 
10.7%
- 139
 
10.2%
2 99
 
7.2%
3 82
 
6.0%
5 79
 
5.8%
4 76
 
5.6%
6 50
 
3.7%
0 48
 
3.5%
7 45
 
3.3%
Other values (6) 89
 
6.5%
Latin
ValueCountFrequency (%)
B 2
40.0%
1
20.0%
X 1
20.0%
Y 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2025
59.6%
ASCII 1373
40.4%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
516
37.6%
1 146
 
10.6%
- 139
 
10.1%
2 99
 
7.2%
3 82
 
6.0%
5 79
 
5.8%
4 76
 
5.5%
6 50
 
3.6%
0 48
 
3.5%
7 45
 
3.3%
Other values (9) 93
 
6.8%
Hangul
ValueCountFrequency (%)
183
 
9.0%
172
 
8.5%
152
 
7.5%
151
 
7.5%
146
 
7.2%
144
 
7.1%
132
 
6.5%
109
 
5.4%
95
 
4.7%
32
 
1.6%
Other values (128) 709
35.0%
Number Forms
ValueCountFrequency (%)
1
100.0%

도로명전체주소
Text

MISSING 

Distinct137
Distinct (%)97.9%
Missing5
Missing (%)3.4%
Memory size1.3 KiB
2024-04-21T20:01:42.746638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length41.5
Mean length29.392857
Min length20

Characters and Unicode

Total characters4115
Distinct characters196
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique134 ?
Unique (%)95.7%

Sample

1st row부산광역시 중구 비프광장로 12 (남포동6가)
2nd row부산광역시 중구 비프광장로 25 (남포동3가)
3rd row부산광역시 중구 광복로39번길 6 (창선동1가)
4th row부산광역시 중구 비프광장로 28, 2층 (남포동5가)
5th row부산광역시 중구 광복로 34-1, 지상1층 (창선동2가)
ValueCountFrequency (%)
부산광역시 140
 
17.1%
2층 23
 
2.8%
부산진구 21
 
2.6%
동래구 14
 
1.7%
남구 14
 
1.7%
해운대구 14
 
1.7%
금정구 13
 
1.6%
기장군 13
 
1.6%
사하구 13
 
1.6%
대연동 12
 
1.5%
Other values (311) 542
66.2%
2024-04-21T20:01:44.093213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
698
 
17.0%
183
 
4.4%
173
 
4.2%
162
 
3.9%
157
 
3.8%
148
 
3.6%
140
 
3.4%
139
 
3.4%
135
 
3.3%
) 130
 
3.2%
Other values (186) 2050
49.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2449
59.5%
Space Separator 698
 
17.0%
Decimal Number 581
 
14.1%
Close Punctuation 130
 
3.2%
Open Punctuation 130
 
3.2%
Other Punctuation 104
 
2.5%
Dash Punctuation 14
 
0.3%
Uppercase Letter 7
 
0.2%
Letter Number 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
183
 
7.5%
173
 
7.1%
162
 
6.6%
157
 
6.4%
148
 
6.0%
140
 
5.7%
139
 
5.7%
135
 
5.5%
82
 
3.3%
65
 
2.7%
Other values (163) 1065
43.5%
Decimal Number
ValueCountFrequency (%)
1 120
20.7%
2 94
16.2%
3 64
11.0%
4 53
9.1%
0 52
9.0%
5 47
 
8.1%
6 42
 
7.2%
8 38
 
6.5%
9 36
 
6.2%
7 35
 
6.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
28.6%
C 1
14.3%
P 1
14.3%
A 1
14.3%
Y 1
14.3%
X 1
14.3%
Space Separator
ValueCountFrequency (%)
698
100.0%
Close Punctuation
ValueCountFrequency (%)
) 130
100.0%
Open Punctuation
ValueCountFrequency (%)
( 130
100.0%
Other Punctuation
ValueCountFrequency (%)
, 104
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2449
59.5%
Common 1658
40.3%
Latin 8
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
183
 
7.5%
173
 
7.1%
162
 
6.6%
157
 
6.4%
148
 
6.0%
140
 
5.7%
139
 
5.7%
135
 
5.5%
82
 
3.3%
65
 
2.7%
Other values (163) 1065
43.5%
Common
ValueCountFrequency (%)
698
42.1%
) 130
 
7.8%
( 130
 
7.8%
1 120
 
7.2%
, 104
 
6.3%
2 94
 
5.7%
3 64
 
3.9%
4 53
 
3.2%
0 52
 
3.1%
5 47
 
2.8%
Other values (6) 166
 
10.0%
Latin
ValueCountFrequency (%)
B 2
25.0%
1
12.5%
C 1
12.5%
P 1
12.5%
A 1
12.5%
Y 1
12.5%
X 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2449
59.5%
ASCII 1665
40.5%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
698
41.9%
) 130
 
7.8%
( 130
 
7.8%
1 120
 
7.2%
, 104
 
6.2%
2 94
 
5.6%
3 64
 
3.8%
4 53
 
3.2%
0 52
 
3.1%
5 47
 
2.8%
Other values (12) 173
 
10.4%
Hangul
ValueCountFrequency (%)
183
 
7.5%
173
 
7.1%
162
 
6.6%
157
 
6.4%
148
 
6.0%
140
 
5.7%
139
 
5.7%
135
 
5.5%
82
 
3.3%
65
 
2.7%
Other values (163) 1065
43.5%
Number Forms
ValueCountFrequency (%)
1
100.0%

도로명우편번호
Text

MISSING 

Distinct74
Distinct (%)66.1%
Missing33
Missing (%)22.8%
Memory size1.3 KiB
2024-04-21T20:01:44.968160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.3035714
Min length5

Characters and Unicode

Total characters594
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

Unique47 ?
Unique (%)42.0%

Sample

1st row600-043
2nd row48947
3rd row48953
4th row48953
5th row48981
ValueCountFrequency (%)
47837 4
 
3.6%
608-020 4
 
3.6%
48981 3
 
2.7%
48498 3
 
2.7%
48512 3
 
2.7%
47295 3
 
2.7%
46048 3
 
2.7%
48953 3
 
2.7%
47866 3
 
2.7%
617-807 2
 
1.8%
Other values (64) 81
72.3%
2024-04-21T20:01:46.088289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 115
19.4%
8 86
14.5%
6 71
12.0%
0 56
9.4%
7 54
9.1%
2 53
8.9%
9 45
 
7.6%
1 40
 
6.7%
5 30
 
5.1%
3 27
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 577
97.1%
Dash Punctuation 17
 
2.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 115
19.9%
8 86
14.9%
6 71
12.3%
0 56
9.7%
7 54
9.4%
2 53
9.2%
9 45
 
7.8%
1 40
 
6.9%
5 30
 
5.2%
3 27
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 594
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 115
19.4%
8 86
14.5%
6 71
12.0%
0 56
9.4%
7 54
9.1%
2 53
8.9%
9 45
 
7.6%
1 40
 
6.7%
5 30
 
5.1%
3 27
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 594
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 115
19.4%
8 86
14.5%
6 71
12.0%
0 56
9.4%
7 54
9.1%
2 53
8.9%
9 45
 
7.6%
1 40
 
6.7%
5 30
 
5.1%
3 27
 
4.5%
Distinct144
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-04-21T20:01:46.949650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length14
Mean length8.3103448
Min length2

Characters and Unicode

Total characters1205
Distinct characters235
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique143 ?
Unique (%)98.6%

Sample

1st row아카데미PC.PS
2nd row인터밀리언 남포점 2
3rd rowFunit
4th row3POP PC CAFE
5th row토이뽑기랜드
ValueCountFrequency (%)
pc 10
 
4.3%
pc방 7
 
3.0%
게임랜드 5
 
2.2%
아이센스리그pc방 4
 
1.7%
안락점 3
 
1.3%
멀티방 3
 
1.3%
cafe 3
 
1.3%
메가맥스 2
 
0.9%
펏스원 2
 
0.9%
주식회사 2
 
0.9%
Other values (177) 191
82.3%
2024-04-21T20:01:48.379379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
87
 
7.2%
P 66
 
5.5%
C 65
 
5.4%
41
 
3.4%
33
 
2.7%
32
 
2.7%
31
 
2.6%
30
 
2.5%
28
 
2.3%
27
 
2.2%
Other values (225) 765
63.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 834
69.2%
Uppercase Letter 212
 
17.6%
Space Separator 87
 
7.2%
Lowercase Letter 33
 
2.7%
Decimal Number 21
 
1.7%
Other Punctuation 8
 
0.7%
Close Punctuation 5
 
0.4%
Open Punctuation 5
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
41
 
4.9%
33
 
4.0%
32
 
3.8%
31
 
3.7%
30
 
3.6%
28
 
3.4%
27
 
3.2%
26
 
3.1%
21
 
2.5%
18
 
2.2%
Other values (173) 547
65.6%
Uppercase Letter
ValueCountFrequency (%)
P 66
31.1%
C 65
30.7%
O 10
 
4.7%
A 10
 
4.7%
E 7
 
3.3%
L 6
 
2.8%
T 5
 
2.4%
N 5
 
2.4%
M 5
 
2.4%
X 4
 
1.9%
Other values (12) 29
13.7%
Lowercase Letter
ValueCountFrequency (%)
a 6
18.2%
c 4
12.1%
n 4
12.1%
e 4
12.1%
p 2
 
6.1%
t 2
 
6.1%
i 2
 
6.1%
o 1
 
3.0%
g 1
 
3.0%
s 1
 
3.0%
Other values (6) 6
18.2%
Decimal Number
ValueCountFrequency (%)
2 7
33.3%
0 4
19.0%
1 3
14.3%
6 2
 
9.5%
3 2
 
9.5%
9 2
 
9.5%
7 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
& 4
50.0%
. 2
25.0%
· 1
 
12.5%
1
 
12.5%
Space Separator
ValueCountFrequency (%)
87
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 834
69.2%
Latin 245
 
20.3%
Common 126
 
10.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
41
 
4.9%
33
 
4.0%
32
 
3.8%
31
 
3.7%
30
 
3.6%
28
 
3.4%
27
 
3.2%
26
 
3.1%
21
 
2.5%
18
 
2.2%
Other values (173) 547
65.6%
Latin
ValueCountFrequency (%)
P 66
26.9%
C 65
26.5%
O 10
 
4.1%
A 10
 
4.1%
E 7
 
2.9%
a 6
 
2.4%
L 6
 
2.4%
T 5
 
2.0%
N 5
 
2.0%
M 5
 
2.0%
Other values (28) 60
24.5%
Common
ValueCountFrequency (%)
87
69.0%
2 7
 
5.6%
) 5
 
4.0%
( 5
 
4.0%
0 4
 
3.2%
& 4
 
3.2%
1 3
 
2.4%
6 2
 
1.6%
3 2
 
1.6%
9 2
 
1.6%
Other values (4) 5
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 834
69.2%
ASCII 369
30.6%
None 2
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
87
23.6%
P 66
17.9%
C 65
17.6%
O 10
 
2.7%
A 10
 
2.7%
2 7
 
1.9%
E 7
 
1.9%
a 6
 
1.6%
L 6
 
1.6%
T 5
 
1.4%
Other values (40) 100
27.1%
Hangul
ValueCountFrequency (%)
41
 
4.9%
33
 
4.0%
32
 
3.8%
31
 
3.7%
30
 
3.6%
28
 
3.4%
27
 
3.2%
26
 
3.1%
21
 
2.5%
18
 
2.2%
Other values (173) 547
65.6%
None
ValueCountFrequency (%)
· 1
50.0%
1
50.0%

최종수정시점
Date

UNIQUE 

Distinct145
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2005-03-04 10:13:32
Maximum2023-06-26 19:05:34
2024-04-21T20:01:48.607710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T20:01:48.848850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
I
85 
U
60 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 85
58.6%
U 60
41.4%

Length

2024-04-21T20:01:49.079738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T20:01:49.254078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 85
58.6%
u 60
41.4%
Distinct67
Distinct (%)46.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2018-08-31 23:59:59
Maximum2023-06-28 00:19:13
2024-04-21T20:01:49.440383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T20:01:49.685966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing145
Missing (%)100.0%
Memory size1.4 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct131
Distinct (%)92.3%
Missing3
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean389076.42
Minimum373329.16
Maximum402521.18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-21T20:01:49.933346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum373329.16
5-th percentile379396.16
Q1384936.47
median388548.28
Q3391981.33
95-th percentile401286.3
Maximum402521.18
Range29192.014
Interquartile range (IQR)7044.8578

Descriptive statistics

Standard deviation6154.5892
Coefficient of variation (CV)0.015818459
Kurtosis-0.091819509
Mean389076.42
Median Absolute Deviation (MAD)3486.5655
Skewness0.097418306
Sum55248852
Variance37878968
MonotonicityNot monotonic
2024-04-21T20:01:50.176400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
396716.962927416 3
 
2.1%
391066.008149203 2
 
1.4%
389711.868260709 2
 
1.4%
388266.702226595 2
 
1.4%
387271.299492377 2
 
1.4%
382882.278858745 2
 
1.4%
401404.910782787 2
 
1.4%
379460.187336962 2
 
1.4%
384871.0192493 2
 
1.4%
391327.195330073 2
 
1.4%
Other values (121) 121
83.4%
(Missing) 3
 
2.1%
ValueCountFrequency (%)
373329.163129764 1
0.7%
373507.105636338 1
0.7%
379110.687036291 1
0.7%
379230.407334677 1
0.7%
379248.867134383 1
0.7%
379249.972825175 1
0.7%
379307.695818585 1
0.7%
379392.794002776 1
0.7%
379460.187336962 2
1.4%
379461.859303267 1
0.7%
ValueCountFrequency (%)
402521.177512697 1
0.7%
402474.862151728 1
0.7%
402165.985855743 1
0.7%
401702.148900849 1
0.7%
401620.468852478 1
0.7%
401476.744840194 1
0.7%
401404.910782787 2
1.4%
399032.660659308 1
0.7%
398377.77044139 1
0.7%
398363.110811109 1
0.7%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct131
Distinct (%)92.3%
Missing3
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean187618.71
Minimum175688.17
Maximum206095.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-21T20:01:50.421807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum175688.17
5-th percentile178828.37
Q1183926.39
median186904.06
Q3191382.31
95-th percentile198518.39
Maximum206095.72
Range30407.552
Interquartile range (IQR)7455.9158

Descriptive statistics

Standard deviation6373.0703
Coefficient of variation (CV)0.033968203
Kurtosis0.31415939
Mean187618.71
Median Absolute Deviation (MAD)4270.2841
Skewness0.56510245
Sum26641857
Variance40616025
MonotonicityNot monotonic
2024-04-21T20:01:50.670286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
186904.064945782 3
 
2.1%
191059.352179532 2
 
1.4%
194492.669076983 2
 
1.4%
191330.913072538 2
 
1.4%
186099.137533193 2
 
1.4%
194681.150958776 2
 
1.4%
195923.740631626 2
 
1.4%
180305.158017524 2
 
1.4%
179600.395082956 2
 
1.4%
183926.38975561 2
 
1.4%
Other values (121) 121
83.4%
(Missing) 3
 
2.1%
ValueCountFrequency (%)
175688.173024086 1
0.7%
175752.422453699 1
0.7%
177270.528016674 1
0.7%
177529.957135139 1
0.7%
177706.786518721 1
0.7%
178039.321443559 1
0.7%
178279.40261467 1
0.7%
178826.792087716 1
0.7%
178858.448820947 1
0.7%
179352.713922229 1
0.7%
ValueCountFrequency (%)
206095.724959308 1
0.7%
205023.026001504 1
0.7%
204685.096657824 1
0.7%
204626.73513574 1
0.7%
204621.655738547 1
0.7%
198675.298013128 1
0.7%
198590.050510464 1
0.7%
198562.483732402 1
0.7%
197680.670959904 1
0.7%
196933.193704831 1
0.7%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
복합유통게임제공업
145 

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 145
100.0%

Length

2024-04-21T20:01:50.909817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T20:01:51.080228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
복합유통게임제공업 145
100.0%

문화사업자구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
유통관련업
145 

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 145
100.0%

Length

2024-04-21T20:01:51.252765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T20:01:51.423400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 145
100.0%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct17
Distinct (%)20.5%
Missing62
Missing (%)42.8%
Infinite0
Infinite (%)0.0%
Mean6.2650602
Minimum0
Maximum47
Zeros17
Zeros (%)11.7%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-21T20:01:51.578715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median5
Q37.5
95-th percentile14.9
Maximum47
Range47
Interquartile range (IQR)4.5

Descriptive statistics

Standard deviation7.3502685
Coefficient of variation (CV)1.1732159
Kurtosis16.936465
Mean6.2650602
Median Absolute Deviation (MAD)2
Skewness3.5757023
Sum520
Variance54.026447
MonotonicityNot monotonic
2024-04-21T20:01:51.780461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 17
 
11.7%
5 11
 
7.6%
6 11
 
7.6%
4 11
 
7.6%
3 5
 
3.4%
10 5
 
3.4%
7 4
 
2.8%
12 4
 
2.8%
2 3
 
2.1%
15 2
 
1.4%
Other values (7) 10
 
6.9%
(Missing) 62
42.8%
ValueCountFrequency (%)
0 17
11.7%
2 3
 
2.1%
3 5
 
3.4%
4 11
7.6%
5 11
7.6%
6 11
7.6%
7 4
 
2.8%
8 2
 
1.4%
9 2
 
1.4%
10 5
 
3.4%
ValueCountFrequency (%)
47 1
 
0.7%
42 1
 
0.7%
19 1
 
0.7%
15 2
 
1.4%
14 1
 
0.7%
12 4
2.8%
11 2
 
1.4%
10 5
3.4%
9 2
 
1.4%
8 2
 
1.4%

주변환경명
Categorical

IMBALANCE 

Distinct5
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
127 
기타
 
9
유흥업소밀집지역
 
4
학교정화(상대)
 
4
아파트지역
 
1

Length

Max length8
Median length4
Mean length4.1034483
Min length2

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 127
87.6%
기타 9
 
6.2%
유흥업소밀집지역 4
 
2.8%
학교정화(상대) 4
 
2.8%
아파트지역 1
 
0.7%

Length

2024-04-21T20:01:51.994832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T20:01:52.193640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 127
87.6%
기타 9
 
6.2%
유흥업소밀집지역 4
 
2.8%
학교정화(상대 4
 
2.8%
아파트지역 1
 
0.7%
Distinct37
Distinct (%)25.5%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
61 
식품접객업(휴게음식점)
20 
휴게음식점
15 
식품접객업
 
5
기타유원시설업
 
4
Other values (32)
40 

Length

Max length26
Median length24
Mean length7.8827586
Min length3

Unique

Unique26 ?
Unique (%)17.9%

Sample

1st row<NA>
2nd row청소년게임제공업+인터넷컴퓨터게임시설제공업
3rd row복합유통게임제공업
4th row휴게음식점
5th row식품접객업(휴게음식점)

Common Values

ValueCountFrequency (%)
<NA> 61
42.1%
식품접객업(휴게음식점) 20
 
13.8%
휴게음식점 15
 
10.3%
식품접객업 5
 
3.4%
기타유원시설업 4
 
2.8%
청소년게임제공업 + 노래연습장업 3
 
2.1%
노래연습장업 3
 
2.1%
식품접객업(휴게음식점) 등록 2
 
1.4%
인터넷컴퓨터게임시설제공업 + 식품접객업 2
 
1.4%
노래연습 2
 
1.4%
Other values (27) 28
19.3%

Length

2024-04-21T20:01:52.416261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 61
34.7%
식품접객업(휴게음식점 23
 
13.1%
휴게음식점 15
 
8.5%
청소년게임제공업 10
 
5.7%
식품접객업 8
 
4.5%
노래연습장업 8
 
4.5%
7
 
4.0%
기타유원시설업 6
 
3.4%
인터넷컴퓨터게임시설제공업 6
 
3.4%
노래연습 3
 
1.7%
Other values (24) 29
16.5%

시설면적
Real number (ℝ)

MISSING 

Distinct138
Distinct (%)97.9%
Missing4
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean276.76617
Minimum38.7
Maximum1070
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-21T20:01:52.649591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum38.7
5-th percentile96.26
Q1183.1
median253.25
Q3325.95
95-th percentile588.71
Maximum1070
Range1031.3
Interquartile range (IQR)142.85

Descriptive statistics

Standard deviation163.29386
Coefficient of variation (CV)0.59000657
Kurtosis6.7393528
Mean276.76617
Median Absolute Deviation (MAD)72.7
Skewness2.1720686
Sum39024.03
Variance26664.884
MonotonicityNot monotonic
2024-04-21T20:01:52.905923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
253.25 2
 
1.4%
209.5 2
 
1.4%
334.12 2
 
1.4%
263.74 1
 
0.7%
249.93 1
 
0.7%
337.76 1
 
0.7%
237.81 1
 
0.7%
219.68 1
 
0.7%
390.0 1
 
0.7%
213.9 1
 
0.7%
Other values (128) 128
88.3%
(Missing) 4
 
2.8%
ValueCountFrequency (%)
38.7 1
0.7%
56.86 1
0.7%
63.92 1
0.7%
78.78 1
0.7%
81.22 1
0.7%
86.95 1
0.7%
94.92 1
0.7%
96.26 1
0.7%
98.34 1
0.7%
100.0 1
0.7%
ValueCountFrequency (%)
1070.0 1
0.7%
946.56 1
0.7%
874.14 1
0.7%
789.46 1
0.7%
766.19 1
0.7%
668.57 1
0.7%
630.79 1
0.7%
588.71 1
0.7%
504.9 1
0.7%
476.15 1
0.7%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)11.9%
Missing44
Missing (%)30.3%
Infinite0
Infinite (%)0.0%
Mean3.6633663
Minimum0
Maximum14
Zeros15
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-21T20:01:53.107429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q35
95-th percentile10
Maximum14
Range14
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.9707818
Coefficient of variation (CV)0.81094314
Kurtosis1.2926437
Mean3.6633663
Median Absolute Deviation (MAD)2
Skewness1.0401513
Sum370
Variance8.8255446
MonotonicityNot monotonic
2024-04-21T20:01:53.293331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
5 17
 
11.7%
0 15
 
10.3%
3 14
 
9.7%
4 12
 
8.3%
1 12
 
8.3%
2 12
 
8.3%
6 7
 
4.8%
8 4
 
2.8%
10 4
 
2.8%
9 2
 
1.4%
Other values (2) 2
 
1.4%
(Missing) 44
30.3%
ValueCountFrequency (%)
0 15
10.3%
1 12
8.3%
2 12
8.3%
3 14
9.7%
4 12
8.3%
5 17
11.7%
6 7
4.8%
8 4
 
2.8%
9 2
 
1.4%
10 4
 
2.8%
ValueCountFrequency (%)
14 1
 
0.7%
13 1
 
0.7%
10 4
 
2.8%
9 2
 
1.4%
8 4
 
2.8%
6 7
4.8%
5 17
11.7%
4 12
8.3%
3 14
9.7%
2 12
8.3%

지하층수
Categorical

Distinct6
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
80 
1
35 
0
22 
2
 
6
4
 
1

Length

Max length4
Median length4
Mean length2.662069
Min length1

Unique

Unique2 ?
Unique (%)1.4%

Sample

1st row<NA>
2nd row<NA>
3rd row4
4th row1
5th row1

Common Values

ValueCountFrequency (%)
<NA> 80
55.2%
1 35
24.1%
0 22
 
15.2%
2 6
 
4.1%
4 1
 
0.7%
10 1
 
0.7%

Length

2024-04-21T20:01:53.516741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T20:01:53.714061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 80
55.2%
1 35
24.1%
0 22
 
15.2%
2 6
 
4.1%
4 1
 
0.7%
10 1
 
0.7%

건물용도명
Categorical

IMBALANCE 

Distinct5
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
96 
근린생활시설
44 
판매시설
 
2
유통시설
 
2
문화시설
 
1

Length

Max length6
Median length4
Mean length4.6068966
Min length4

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 96
66.2%
근린생활시설 44
30.3%
판매시설 2
 
1.4%
유통시설 2
 
1.4%
문화시설 1
 
0.7%

Length

2024-04-21T20:01:54.153013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T20:01:54.355896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 96
66.2%
근린생활시설 44
30.3%
판매시설 2
 
1.4%
유통시설 2
 
1.4%
문화시설 1
 
0.7%

통로너비
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
123 
0
22 

Length

Max length4
Median length4
Mean length3.5448276
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> 123
84.8%
0 22
 
15.2%

Length

2024-04-21T20:01:54.568057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T20:01:54.750559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 123
84.8%
0 22
 
15.2%

조명시설조도
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)40.5%
Missing108
Missing (%)74.5%
Infinite0
Infinite (%)0.0%
Mean53.432432
Minimum0
Maximum519
Zeros22
Zeros (%)15.2%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-21T20:01:54.916579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q360
95-th percentile233.6
Maximum519
Range519
Interquartile range (IQR)60

Descriptive statistics

Standard deviation107.36841
Coefficient of variation (CV)2.0094239
Kurtosis10.931406
Mean53.432432
Median Absolute Deviation (MAD)0
Skewness3.1524515
Sum1977
Variance11527.974
MonotonicityNot monotonic
2024-04-21T20:01:55.112638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 22
 
15.2%
60 2
 
1.4%
42 1
 
0.7%
55 1
 
0.7%
134 1
 
0.7%
79 1
 
0.7%
519 1
 
0.7%
90 1
 
0.7%
54 1
 
0.7%
66 1
 
0.7%
Other values (5) 5
 
3.4%
(Missing) 108
74.5%
ValueCountFrequency (%)
0 22
15.2%
42 1
 
0.7%
50 1
 
0.7%
54 1
 
0.7%
55 1
 
0.7%
60 2
 
1.4%
66 1
 
0.7%
70 1
 
0.7%
79 1
 
0.7%
90 1
 
0.7%
ValueCountFrequency (%)
519 1
0.7%
368 1
0.7%
200 1
0.7%
134 1
0.7%
130 1
0.7%
90 1
0.7%
79 1
0.7%
70 1
0.7%
66 1
0.7%
60 2
1.4%

노래방실수
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
123 
0
22 

Length

Max length4
Median length4
Mean length3.5448276
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> 123
84.8%
0 22
 
15.2%

Length

2024-04-21T20:01:55.326608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T20:01:55.510427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 123
84.8%
0 22
 
15.2%

청소년실수
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
123 
0
22 

Length

Max length4
Median length4
Mean length3.5448276
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> 123
84.8%
0 22
 
15.2%

Length

2024-04-21T20:01:55.700076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T20:01:55.885237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 123
84.8%
0 22
 
15.2%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing145
Missing (%)100.0%
Memory size1.4 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing145
Missing (%)100.0%
Memory size1.4 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing145
Missing (%)100.0%
Memory size1.4 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing145
Missing (%)100.0%
Memory size1.4 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing145
Missing (%)100.0%
Memory size1.4 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing145
Missing (%)100.0%
Memory size1.4 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing145
Missing (%)100.0%
Memory size1.4 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing145
Missing (%)100.0%
Memory size1.4 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing145
Missing (%)100.0%
Memory size1.4 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing145
Missing (%)100.0%
Memory size1.4 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing145
Missing (%)100.0%
Memory size1.4 KiB

총게임기수
Real number (ℝ)

MISSING  ZEROS 

Distinct46
Distinct (%)75.4%
Missing84
Missing (%)57.9%
Infinite0
Infinite (%)0.0%
Mean60.52459
Minimum0
Maximum273
Zeros8
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-21T20:01:56.070767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q121
median62
Q380
95-th percentile138
Maximum273
Range273
Interquartile range (IQR)59

Descriptive statistics

Standard deviation48.878286
Coefficient of variation (CV)0.80757732
Kurtosis4.671027
Mean60.52459
Median Absolute Deviation (MAD)27
Skewness1.4330804
Sum3692
Variance2389.0869
MonotonicityNot monotonic
2024-04-21T20:01:56.303297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0 8
 
5.5%
60 3
 
2.1%
74 2
 
1.4%
15 2
 
1.4%
91 2
 
1.4%
100 2
 
1.4%
80 2
 
1.4%
70 2
 
1.4%
50 1
 
0.7%
138 1
 
0.7%
Other values (36) 36
24.8%
(Missing) 84
57.9%
ValueCountFrequency (%)
0 8
5.5%
1 1
 
0.7%
3 1
 
0.7%
8 1
 
0.7%
12 1
 
0.7%
15 2
 
1.4%
20 1
 
0.7%
21 1
 
0.7%
27 1
 
0.7%
28 1
 
0.7%
ValueCountFrequency (%)
273 1
0.7%
151 1
0.7%
147 1
0.7%
138 1
0.7%
134 1
0.7%
124 1
0.7%
120 1
0.7%
100 2
1.4%
91 2
1.4%
89 1
0.7%
Distinct18
Distinct (%)64.3%
Missing117
Missing (%)80.7%
Memory size1.3 KiB
2024-04-21T20:01:56.898528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length22.5
Mean length12.678571
Min length5

Characters and Unicode

Total characters355
Distinct characters60
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)46.4%

Sample

1st row청소년게임제공업+인터넷컴퓨터게임시설제공업
2nd row청소년게임제공업
3rd row청소년게임제공업
4th row식픔접객업
5th row멀티게임기
ValueCountFrequency (%)
식품접객업(휴게음식점 6
17.1%
청소년게임제공업 5
14.3%
인터넷컴퓨터게임시설제공업 5
14.3%
식품접객업 3
 
8.6%
멀티게임기 2
 
5.7%
청소년게임제공업+인터넷컴퓨터게임시설제공업 1
 
2.9%
복합유통게임제공업 1
 
2.9%
1
 
2.9%
청소년게임제공업,인터넷컴퓨터게임시설제공업 1
 
2.9%
2대 1
 
2.9%
Other values (9) 9
25.7%
2024-04-21T20:01:57.682422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
33
 
9.3%
27
 
7.6%
20
 
5.6%
19
 
5.4%
17
 
4.8%
17
 
4.8%
15
 
4.2%
11
 
3.1%
11
 
3.1%
11
 
3.1%
Other values (50) 174
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 313
88.2%
Close Punctuation 9
 
2.5%
Open Punctuation 9
 
2.5%
Space Separator 7
 
2.0%
Other Punctuation 7
 
2.0%
Decimal Number 6
 
1.7%
Uppercase Letter 2
 
0.6%
Math Symbol 1
 
0.3%
Dash Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
33
 
10.5%
27
 
8.6%
20
 
6.4%
19
 
6.1%
17
 
5.4%
17
 
5.4%
15
 
4.8%
11
 
3.5%
11
 
3.5%
11
 
3.5%
Other values (36) 132
42.2%
Decimal Number
ValueCountFrequency (%)
1 2
33.3%
0 2
33.3%
2 1
16.7%
4 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 5
71.4%
· 1
 
14.3%
: 1
 
14.3%
Uppercase Letter
ValueCountFrequency (%)
C 1
50.0%
P 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 313
88.2%
Common 40
 
11.3%
Latin 2
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
33
 
10.5%
27
 
8.6%
20
 
6.4%
19
 
6.1%
17
 
5.4%
17
 
5.4%
15
 
4.8%
11
 
3.5%
11
 
3.5%
11
 
3.5%
Other values (36) 132
42.2%
Common
ValueCountFrequency (%)
) 9
22.5%
( 9
22.5%
7
17.5%
, 5
12.5%
1 2
 
5.0%
0 2
 
5.0%
2 1
 
2.5%
4 1
 
2.5%
+ 1
 
2.5%
- 1
 
2.5%
Other values (2) 2
 
5.0%
Latin
ValueCountFrequency (%)
C 1
50.0%
P 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 313
88.2%
ASCII 41
 
11.5%
None 1
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
33
 
10.5%
27
 
8.6%
20
 
6.4%
19
 
6.1%
17
 
5.4%
17
 
5.4%
15
 
4.8%
11
 
3.5%
11
 
3.5%
11
 
3.5%
Other values (36) 132
42.2%
ASCII
ValueCountFrequency (%)
) 9
22.0%
( 9
22.0%
7
17.1%
, 5
12.2%
1 2
 
4.9%
0 2
 
4.9%
C 1
 
2.4%
2 1
 
2.4%
4 1
 
2.4%
P 1
 
2.4%
Other values (3) 3
 
7.3%
None
ValueCountFrequency (%)
· 1
100.0%
Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
전체이용가
101 
<NA>
41 
전체이용가 및 청소년이용불가
 
2
청소년이용불가
 
1

Length

Max length15
Median length5
Mean length4.8689655
Min length4

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
전체이용가 101
69.7%
<NA> 41
28.3%
전체이용가 및 청소년이용불가 2
 
1.4%
청소년이용불가 1
 
0.7%

Length

2024-04-21T20:01:57.913484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T20:01:58.102194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전체이용가 103
69.1%
na 41
 
27.5%
청소년이용불가 3
 
2.0%
2
 
1.3%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing145
Missing (%)100.0%
Memory size1.4 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing145
Missing (%)100.0%
Memory size1.4 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing145
Missing (%)100.0%
Memory size1.4 KiB

지역구분명
Categorical

IMBALANCE 

Distinct8
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
108 
일반상업지역
21 
일반주거지역
 
5
상업지역
 
4
준주거지역
 
3
Other values (3)
 
4

Length

Max length6
Median length4
Mean length4.4206897
Min length4

Unique

Unique2 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 108
74.5%
일반상업지역 21
 
14.5%
일반주거지역 5
 
3.4%
상업지역 4
 
2.8%
준주거지역 3
 
2.1%
중심상업지역 2
 
1.4%
근린상업지역 1
 
0.7%
주거지역 1
 
0.7%

Length

2024-04-21T20:01:58.319172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T20:01:58.540502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 108
74.5%
일반상업지역 21
 
14.5%
일반주거지역 5
 
3.4%
상업지역 4
 
2.8%
준주거지역 3
 
2.1%
중심상업지역 2
 
1.4%
근린상업지역 1
 
0.7%
주거지역 1
 
0.7%

Unnamed: 59
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing145
Missing (%)100.0%
Memory size1.4 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명Unnamed: 59
01복합유통게임제공업03_05_04_P3250000CDFF22410320030000012003-07-08<NA>3폐업3폐업2008-08-20<NA><NA><NA>231-2929<NA>600-046부산광역시 중구 남포동6가 97-2번지부산광역시 중구 비프광장로 12 (남포동6가)<NA>아카데미PC.PS2008-08-20 16:54:17I2018-08-31 23:59:59<NA>384740.974653179548.266775복합유통게임제공업유통관련업9<NA><NA>409.24<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
12복합유통게임제공업03_05_04_P3250000CDFF22410320080000012008-07-04<NA>3폐업3폐업2012-09-07<NA><NA><NA><NA><NA><NA>부산광역시 중구 광복동3가 1-3번지부산광역시 중구 비프광장로 25 (남포동3가)600-043인터밀리언 남포점 22012-09-07 16:37:11I2018-08-31 23:59:59<NA>385127.70502179920.440367복합유통게임제공업유통관련업5기타청소년게임제공업+인터넷컴퓨터게임시설제공업267.74<NA>근린생활시설<NA>42<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1청소년게임제공업+인터넷컴퓨터게임시설제공업전체이용가<NA><NA><NA>일반상업지역<NA>
23복합유통게임제공업03_05_04_P3250000CDFF22410320150000012015-09-24<NA>3폐업3폐업2019-01-25<NA><NA><NA><NA><NA><NA>부산광역시 중구 창선동1가 12-1번지부산광역시 중구 광복로39번길 6 (창선동1가)48947Funit2019-01-25 15:43:59U2019-02-12 02:40:00<NA>384993.660073179733.755299복합유통게임제공업유통관련업12<NA>복합유통게임제공업444.5584근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA>일반상업지역<NA>
34복합유통게임제공업03_05_04_P3250000CDFF22410320170000022017-11-01<NA>3폐업3폐업2022-07-07<NA><NA><NA><NA><NA><NA>부산광역시 중구 남포동5가 24-1부산광역시 중구 비프광장로 28, 2층 (남포동5가)489533POP PC CAFE2022-07-07 17:18:38U2022-07-09 02:40:00<NA>384871.019249179600.395083복합유통게임제공업유통관련업6<NA>휴게음식점874.1451<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>273<NA>전체이용가<NA><NA><NA>일반상업지역<NA>
45복합유통게임제공업03_05_04_P3250000CDFF22410320170000032017-12-29<NA>3폐업3폐업2019-11-27<NA><NA><NA><NA><NA><NA>부산광역시 중구 창선동2가 46-3번지부산광역시 중구 광복로 34-1, 지상1층 (창선동2가)48953토이뽑기랜드2019-11-27 16:47:24U2019-11-29 02:40:00<NA>384917.403183179672.740341복합유통게임제공업유통관련업6유흥업소밀집지역식품접객업(휴게음식점)145.2251<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>청소년게임제공업전체이용가<NA><NA><NA>일반상업지역<NA>
56복합유통게임제공업03_05_04_P3250000CDFF22410320180000012018-05-29<NA>3폐업3폐업2022-02-22<NA><NA><NA><NA><NA><NA>부산광역시 중구 남포동6가 75-1부산광역시 중구 구덕로 78, 지상 1,2층 (남포동6가)48981etang LAND2022-02-22 15:49:10U2022-02-24 02:40:00<NA>384791.893824179516.212513복합유통게임제공업유통관련업2<NA>청소년게임제공업, 기타유원시설업247.8<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA>일반상업지역<NA>
67복합유통게임제공업03_05_04_P3250000CDFF22410320200000022020-07-23<NA>3폐업3폐업2021-03-26<NA><NA><NA><NA><NA><NA>부산광역시 중구 남포동6가 65-1부산광역시 중구 구덕로84번길 5, 2층 (남포동6가)48981유니스트 PC2021-03-26 17:05:04U2021-03-28 02:40:00<NA>384697.119071179510.262932복합유통게임제공업유통관련업<NA><NA>휴게음식점393.11<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>76<NA><NA><NA><NA><NA><NA><NA>
78복합유통게임제공업03_05_04_P3250000CDFF22410320160000012016-10-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 남포동6가 85번지부산광역시 중구 비프광장로 20, 지하1층 (남포동6가)48981캠프 VR2019-04-26 16:27:00U2019-04-28 02:40:00<NA>384819.053112179587.403633복합유통게임제공업유통관련업<NA><NA><NA>946.56<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>32<NA>전체이용가<NA><NA><NA><NA><NA>
89복합유통게임제공업03_05_04_P3250000CDFF22410320170000012017-06-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 중앙동4가 84-3부산광역시 중구 충장대로5번길 24, 지하1층 (중앙동4가)48938아이센스 PC카페 중앙동본점2020-12-28 09:40:22U2020-12-30 02:40:00<NA>385673.302756180607.257893복합유통게임제공업유통관련업6<NA>식품접객업(휴게음식점)293.0551근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>60<NA>전체이용가<NA><NA><NA><NA><NA>
910복합유통게임제공업03_05_04_P3250000CDFF22410320200000012020-01-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 남포동5가 24-1번지부산광역시 중구 비프광장로 28, 지상1, 2층 (남포동5가)48953VAMS(남포점)2020-06-02 14:56:01U2020-06-04 02:40:00<NA>384871.019249179600.395083복합유통게임제공업유통관련업<NA><NA>기타유원시설업668.57<NA><NA><NA><NA>55<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>60<NA>전체이용가<NA><NA><NA>일반상업지역<NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명Unnamed: 59
135136복합유통게임제공업03_05_04_P3400000CDFF22410320190000022019-04-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 기장군 정관읍 매학리 748-1부산광역시 기장군 정관읍 정관중앙로 58, 3층 306호46023아이비스피씨 정관신도시점2022-04-26 17:10:21U2022-04-28 02:40:00<NA>398146.55774204685.096658복합유통게임제공업유통관련업<NA><NA>식품접객업(휴게음식점)192.78<NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>77<NA><NA><NA><NA><NA><NA><NA>
136137복합유통게임제공업03_05_04_P3400000CDFF22410320230000022023-06-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 기장군 기장읍 대라리 413-2부산광역시 기장군 기장읍 차성로 277, 2층46067더블클릭PC방 기장점2023-06-26 19:05:34I2023-06-28 00:19:13<NA>401404.910783195923.740632복합유통게임제공업유통관련업0<NA>식품접객업(휴게음식점)209.520<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA>전체이용가<NA><NA><NA><NA><NA>
137138복합유통게임제공업03_05_04_P3400000CDFF22410320190000052019-09-06<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 기장군 기장읍 동부리 155-4번지부산광역시 기장군 기장읍 차성로338번길 38, 3층46061더젠PC2019-10-08 11:06:04U2019-10-10 02:40:00<NA>401620.468852196498.705953복합유통게임제공업유통관련업<NA><NA>식품접객업324.0<NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>100식품접객업(영업의형태:휴게음식점)<NA><NA><NA><NA><NA><NA>
138139복합유통게임제공업03_05_04_P3400000CDFF22410320190000062019-10-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 기장군 정관읍 모전리 740-15부산광역시 기장군 정관읍 정관2로 51-27, 6층46008YOLO PC2021-09-08 14:02:19U2021-09-10 02:40:00<NA>396963.91107206095.724959복합유통게임제공업유통관련업<NA><NA>식품접객업(휴게음식점)438.81<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>100<NA><NA><NA><NA><NA><NA><NA>
139140복합유통게임제공업03_05_04_P3400000CDFF22410320170000012017-12-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 기장군 정관읍 매학리 717-6번지부산광역시 기장군 정관읍 정관중앙로 45, 9층46015JandJ ENTERTAINMENT2019-12-03 11:43:19U2019-12-05 02:40:00<NA>398024.244822204621.655739복합유통게임제공업유통관련업<NA><NA>기타유원시설업1070.0<NA><NA>판매시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>44<NA>전체이용가<NA><NA><NA><NA><NA>
140141복합유통게임제공업03_05_04_P3400000CDFF22410320200000012020-01-10<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 기장군 정관읍 방곡리 400-3번지부산광역시 기장군 정관읍 구연방곡로 89, 302호46019크레인PC방 부산정관점2020-01-16 17:23:26U2020-01-18 02:40:00<NA>399032.660659205023.026002복합유통게임제공업유통관련업<NA><NA>휴게음식점149.3951<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>64식품접객업전체이용가<NA><NA><NA><NA><NA>
141142복합유통게임제공업03_05_04_P3400000CDFF22410320230000012023-04-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 기장군 일광읍 삼성리 863-3부산광역시 기장군 일광읍 해빛1로 99, 3층46048오엑스PC&COIN노래연습장 일광신도시점2023-06-16 17:05:22U2023-06-18 02:40:00<NA>402165.985856197680.67096복합유통게임제공업유통관련업0<NA>식품접객업(휴게음식점), 노래연습장업398.2130<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>88<NA>전체이용가<NA><NA><NA><NA><NA>
142143복합유통게임제공업03_05_04_P3400000CDFF22410320210000012021-07-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 기장군 일광읍 삼성리 828부산광역시 기장군 일광면 해빛1로 5, 앤유PC일광2호점 8층46048앤유PC일광2호점2022-10-21 11:45:02U2022-10-23 02:40:00<NA>402474.862152198562.483732복합유통게임제공업유통관련업0<NA>휴게음식점630.7900<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>124<NA><NA><NA><NA><NA><NA><NA>
143144복합유통게임제공업03_05_04_P3400000CDFF22410320200000022020-09-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 기장군 일광읍 삼성리 825-2부산광역시 기장군 일광면 해빛로 13, 7층 701호46048앤유PC기장일광점2022-10-21 11:45:50U2022-10-23 02:40:00<NA>402521.177513198590.05051복합유통게임제공업유통관련업0<NA>휴게음식점207.900<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>86<NA>전체이용가<NA><NA><NA><NA><NA>
144145복합유통게임제공업03_05_04_P3400000CDFF22410320190000012019-04-19<NA>4취소/말소/만료/정지/중지35직권말소2023-05-31<NA><NA><NA><NA><NA><NA>부산광역시 기장군 기장읍 대라리 413-2부산광역시 기장군 기장읍 차성로 277, 2층46067아이센스리그PC방 부산기장점2023-05-31 10:53:43U2023-06-02 02:40:00<NA>401404.910783195923.740632복합유통게임제공업유통관련업5<NA>식품접객업(휴게음식점)209.541근린생활시설0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>74<NA><NA><NA><NA><NA><NA><NA>