Overview

Dataset statistics

Number of variables48
Number of observations4261
Missing cells77578
Missing cells (%)37.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 MiB
Average record size in memory413.0 B

Variable types

Numeric12
Categorical12
Text7
Unsupported15
DateTime1
Boolean1

Dataset

Description2021-05-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123118

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
등급구분명 is highly imbalanced (51.8%)Imbalance
인허가취소일자 has 4261 (100.0%) missing valuesMissing
폐업일자 has 2454 (57.6%) missing valuesMissing
휴업시작일자 has 4261 (100.0%) missing valuesMissing
휴업종료일자 has 4261 (100.0%) missing valuesMissing
재개업일자 has 4261 (100.0%) missing valuesMissing
소재지전화 has 843 (19.8%) missing valuesMissing
소재지면적 has 69 (1.6%) missing valuesMissing
도로명전체주소 has 1046 (24.5%) missing valuesMissing
도로명우편번호 has 1153 (27.1%) missing valuesMissing
좌표정보(x) has 109 (2.6%) missing valuesMissing
좌표정보(y) has 109 (2.6%) missing valuesMissing
남성종사자수 has 1795 (42.1%) missing valuesMissing
여성종사자수 has 1796 (42.1%) missing valuesMissing
총종업원수 has 4261 (100.0%) missing valuesMissing
본사종업원수 has 4261 (100.0%) missing valuesMissing
공장사무직종업원수 has 4261 (100.0%) missing valuesMissing
공장판매직종업원수 has 4261 (100.0%) missing valuesMissing
공장생산직종업원수 has 4261 (100.0%) missing valuesMissing
건물소유구분명 has 4261 (100.0%) missing valuesMissing
보증액 has 4261 (100.0%) missing valuesMissing
월세액 has 4261 (100.0%) missing valuesMissing
전통업소지정번호 has 4259 (> 99.9%) missing valuesMissing
전통업소주된음식 has 4261 (100.0%) missing valuesMissing
홈페이지 has 4261 (100.0%) missing valuesMissing
Unnamed: 47 has 4261 (100.0%) missing valuesMissing
번호 has unique valuesUnique
관리번호 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
총종업원수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
본사종업원수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공장사무직종업원수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공장판매직종업원수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공장생산직종업원수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물소유구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보증액 is an unsupported type, check if it needs cleaning or further analysisUnsupported
월세액 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소주된음식 is an unsupported type, check if it needs cleaning or further analysisUnsupported
홈페이지 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 47 is an unsupported type, check if it needs cleaning or further analysisUnsupported
남성종사자수 has 2311 (54.2%) zerosZeros
여성종사자수 has 2311 (54.2%) zerosZeros
시설총규모 has 114 (2.7%) zerosZeros

Reproduction

Analysis started2024-04-17 16:29:36.989824
Analysis finished2024-04-17 16:29:38.127021
Duration1.14 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct4261
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2131
Minimum1
Maximum4261
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size37.6 KiB
2024-04-18T01:29:38.181744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile214
Q11066
median2131
Q33196
95-th percentile4048
Maximum4261
Range4260
Interquartile range (IQR)2130

Descriptive statistics

Standard deviation1230.1891
Coefficient of variation (CV)0.57728253
Kurtosis-1.2
Mean2131
Median Absolute Deviation (MAD)1065
Skewness0
Sum9080191
Variance1513365.2
MonotonicityStrictly increasing
2024-04-18T01:29:38.286434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2847 1
 
< 0.1%
2833 1
 
< 0.1%
2834 1
 
< 0.1%
2835 1
 
< 0.1%
2836 1
 
< 0.1%
2837 1
 
< 0.1%
2838 1
 
< 0.1%
2839 1
 
< 0.1%
2840 1
 
< 0.1%
Other values (4251) 4251
99.8%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
4261 1
< 0.1%
4260 1
< 0.1%
4259 1
< 0.1%
4258 1
< 0.1%
4257 1
< 0.1%
4256 1
< 0.1%
4255 1
< 0.1%
4254 1
< 0.1%
4253 1
< 0.1%
4252 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.4 KiB
유흥주점영업
4261 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유흥주점영업 4261
100.0%

Length

2024-04-18T01:29:38.377802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:29:38.448007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유흥주점영업 4261
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.4 KiB
07_23_02_P
4261 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row07_23_02_P
2nd row07_23_02_P
3rd row07_23_02_P
4th row07_23_02_P
5th row07_23_02_P

Common Values

ValueCountFrequency (%)
07_23_02_P 4261
100.0%

Length

2024-04-18T01:29:38.520714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:29:38.592661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_23_02_p 4261
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3316324.8
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size37.6 KiB
2024-04-18T01:29:38.667371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3250000
Q13290000
median3300000
Q33340000
95-th percentile3390000
Maximum3400000
Range150000
Interquartile range (IQR)50000

Descriptive statistics

Standard deviation42356.764
Coefficient of variation (CV)0.0127722
Kurtosis-0.94523129
Mean3316324.8
Median Absolute Deviation (MAD)30000
Skewness0.28562943
Sum1.413086 × 1010
Variance1.7940954 × 109
MonotonicityNot monotonic
2024-04-18T01:29:38.754796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3290000 682
16.0%
3300000 496
11.6%
3330000 420
9.9%
3370000 363
8.5%
3250000 361
8.5%
3340000 346
8.1%
3270000 313
7.3%
3390000 280
6.6%
3320000 259
 
6.1%
3280000 196
 
4.6%
Other values (6) 545
12.8%
ValueCountFrequency (%)
3250000 361
8.5%
3260000 88
 
2.1%
3270000 313
7.3%
3280000 196
 
4.6%
3290000 682
16.0%
3300000 496
11.6%
3310000 74
 
1.7%
3320000 259
 
6.1%
3330000 420
9.9%
3340000 346
8.1%
ValueCountFrequency (%)
3400000 76
 
1.8%
3390000 280
6.6%
3380000 171
4.0%
3370000 363
8.5%
3360000 21
 
0.5%
3350000 115
 
2.7%
3340000 346
8.1%
3330000 420
9.9%
3320000 259
6.1%
3310000 74
 
1.7%

관리번호
Text

UNIQUE 

Distinct4261
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size33.4 KiB
2024-04-18T01:29:38.910918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters93742
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

Unique4261 ?
Unique (%)100.0%

Sample

1st row3370000-102-2020-00003
2nd row3270000-102-2020-00001
3rd row3370000-102-2004-00019
4th row3330000-102-2007-00026
5th row3370000-102-2004-00018
ValueCountFrequency (%)
3370000-102-2020-00003 1
 
< 0.1%
3340000-102-2017-00002 1
 
< 0.1%
3290000-102-1981-03201 1
 
< 0.1%
3370000-102-2004-00022 1
 
< 0.1%
3290000-102-2003-00022 1
 
< 0.1%
3290000-102-1981-03583 1
 
< 0.1%
3290000-102-1980-03691 1
 
< 0.1%
3290000-102-1980-04852 1
 
< 0.1%
3290000-102-1980-03936 1
 
< 0.1%
3290000-102-1981-03199 1
 
< 0.1%
Other values (4251) 4251
99.8%
2024-04-18T01:29:39.167507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 38414
41.0%
- 12783
 
13.6%
2 10759
 
11.5%
3 9083
 
9.7%
1 8789
 
9.4%
9 4398
 
4.7%
8 2463
 
2.6%
7 2025
 
2.2%
4 1979
 
2.1%
5 1830
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 80959
86.4%
Dash Punctuation 12783
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 38414
47.4%
2 10759
 
13.3%
3 9083
 
11.2%
1 8789
 
10.9%
9 4398
 
5.4%
8 2463
 
3.0%
7 2025
 
2.5%
4 1979
 
2.4%
5 1830
 
2.3%
6 1219
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 12783
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 93742
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 38414
41.0%
- 12783
 
13.6%
2 10759
 
11.5%
3 9083
 
9.7%
1 8789
 
9.4%
9 4398
 
4.7%
8 2463
 
2.6%
7 2025
 
2.2%
4 1979
 
2.1%
5 1830
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 93742
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 38414
41.0%
- 12783
 
13.6%
2 10759
 
11.5%
3 9083
 
9.7%
1 8789
 
9.4%
9 4398
 
4.7%
8 2463
 
2.6%
7 2025
 
2.2%
4 1979
 
2.1%
5 1830
 
2.0%

인허가일자
Real number (ℝ)

Distinct3000
Distinct (%)70.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19996683
Minimum19640915
Maximum20210318
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size37.6 KiB
2024-04-18T01:29:39.280409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19640915
5-th percentile19801205
Q119900918
median20011227
Q320070404
95-th percentile20151215
Maximum20210318
Range569403
Interquartile range (IQR)169486

Descriptive statistics

Standard deviation108121.37
Coefficient of variation (CV)0.0054069655
Kurtosis-0.14557135
Mean19996683
Median Absolute Deviation (MAD)59802
Skewness-0.60810379
Sum8.5205866 × 1010
Variance1.1690232 × 1010
MonotonicityNot monotonic
2024-04-18T01:29:39.389551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20010126 7
 
0.2%
19991230 7
 
0.2%
20010912 6
 
0.1%
20000628 6
 
0.1%
20010627 6
 
0.1%
20040311 6
 
0.1%
20021227 6
 
0.1%
20001219 6
 
0.1%
19991105 6
 
0.1%
20001226 6
 
0.1%
Other values (2990) 4199
98.5%
ValueCountFrequency (%)
19640915 1
< 0.1%
19651013 1
< 0.1%
19651029 1
< 0.1%
19651113 1
< 0.1%
19660120 1
< 0.1%
19661017 1
< 0.1%
19671017 1
< 0.1%
19680503 1
< 0.1%
19680601 1
< 0.1%
19680607 1
< 0.1%
ValueCountFrequency (%)
20210318 1
< 0.1%
20210222 1
< 0.1%
20210112 1
< 0.1%
20201209 1
< 0.1%
20201207 2
< 0.1%
20201126 1
< 0.1%
20201119 1
< 0.1%
20201111 2
< 0.1%
20201102 1
< 0.1%
20201023 1
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4261
Missing (%)100.0%
Memory size37.6 KiB

영업상태구분코드
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.4 KiB
1
2454 
3
1807 

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 (%)
1 2454
57.6%
3 1807
42.4%

Length

2024-04-18T01:29:39.481170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:29:39.554126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 2454
57.6%
3 1807
42.4%

영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.4 KiB
영업/정상
2454 
폐업
1807 

Length

Max length5
Median length5
Mean length3.7277634
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 2454
57.6%
폐업 1807
42.4%

Length

2024-04-18T01:29:39.642298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:29:39.720924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 2454
57.6%
폐업 1807
42.4%

상세영업상태코드
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.4 KiB
1
2454 
2
1807 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
1 2454
57.6%
2 1807
42.4%

Length

2024-04-18T01:29:39.809128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:29:39.883910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 2454
57.6%
2 1807
42.4%

상세영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.4 KiB
영업
2454 
폐업
1807 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 2454
57.6%
폐업 1807
42.4%

Length

2024-04-18T01:29:39.960389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:29:40.034809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 2454
57.6%
폐업 1807
42.4%

폐업일자
Real number (ℝ)

MISSING 

Distinct1358
Distinct (%)75.2%
Missing2454
Missing (%)57.6%
Infinite0
Infinite (%)0.0%
Mean20100192
Minimum19910104
Maximum20210330
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size37.6 KiB
2024-04-18T01:29:40.119211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19910104
5-th percentile20000322
Q120050270
median20101119
Q320150720
95-th percentile20191203
Maximum20210330
Range300226
Interquartile range (IQR)100450.5

Descriptive statistics

Standard deviation63747.816
Coefficient of variation (CV)0.0031715028
Kurtosis-0.92798735
Mean20100192
Median Absolute Deviation (MAD)50517
Skewness-0.20831764
Sum3.6321047 × 1010
Variance4.063784 × 109
MonotonicityNot monotonic
2024-04-18T01:29:40.430596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20140509 15
 
0.4%
20040324 14
 
0.3%
20140610 8
 
0.2%
20050530 8
 
0.2%
20090713 7
 
0.2%
20140602 7
 
0.2%
20140722 6
 
0.1%
20140812 5
 
0.1%
20200529 5
 
0.1%
20100525 5
 
0.1%
Other values (1348) 1727
40.5%
(Missing) 2454
57.6%
ValueCountFrequency (%)
19910104 1
< 0.1%
19910726 1
< 0.1%
19911120 1
< 0.1%
19920603 1
< 0.1%
19921209 1
< 0.1%
19930701 1
< 0.1%
19941010 1
< 0.1%
19941103 1
< 0.1%
19941114 1
< 0.1%
19950210 1
< 0.1%
ValueCountFrequency (%)
20210330 1
 
< 0.1%
20210315 1
 
< 0.1%
20210310 1
 
< 0.1%
20210205 1
 
< 0.1%
20210201 1
 
< 0.1%
20210106 1
 
< 0.1%
20201228 1
 
< 0.1%
20201216 1
 
< 0.1%
20201215 1
 
< 0.1%
20201202 3
0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4261
Missing (%)100.0%
Memory size37.6 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4261
Missing (%)100.0%
Memory size37.6 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4261
Missing (%)100.0%
Memory size37.6 KiB

소재지전화
Text

MISSING 

Distinct3020
Distinct (%)88.4%
Missing843
Missing (%)19.8%
Memory size33.4 KiB
2024-04-18T01:29:40.675565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.582212
Min length1

Characters and Unicode

Total characters36170
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

Unique2904 ?
Unique (%)85.0%

Sample

1st row051 636 3997
2nd row051 8516009
3rd row051 7492620
4th row051 8645551
5th row051 704 7773
ValueCountFrequency (%)
051 3209
43.5%
246 23
 
0.3%
242 17
 
0.2%
245 17
 
0.2%
231 17
 
0.2%
747 15
 
0.2%
244 15
 
0.2%
853 14
 
0.2%
852 14
 
0.2%
412 14
 
0.2%
Other values (3152) 4019
54.5%
2024-04-18T01:29:41.020059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 6018
16.6%
0 5713
15.8%
1 5421
15.0%
3966
11.0%
2 2574
7.1%
3 2333
 
6.5%
8 2311
 
6.4%
6 2273
 
6.3%
4 2233
 
6.2%
7 2087
 
5.8%
Other values (2) 1241
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 32203
89.0%
Space Separator 3966
 
11.0%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 6018
18.7%
0 5713
17.7%
1 5421
16.8%
2 2574
8.0%
3 2333
 
7.2%
8 2311
 
7.2%
6 2273
 
7.1%
4 2233
 
6.9%
7 2087
 
6.5%
9 1240
 
3.9%
Space Separator
ValueCountFrequency (%)
3966
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 36170
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 6018
16.6%
0 5713
15.8%
1 5421
15.0%
3966
11.0%
2 2574
7.1%
3 2333
 
6.5%
8 2311
 
6.4%
6 2273
 
6.3%
4 2233
 
6.2%
7 2087
 
5.8%
Other values (2) 1241
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 36170
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 6018
16.6%
0 5713
15.8%
1 5421
15.0%
3966
11.0%
2 2574
7.1%
3 2333
 
6.5%
8 2311
 
6.4%
6 2273
 
6.3%
4 2233
 
6.2%
7 2087
 
5.8%
Other values (2) 1241
 
3.4%

소재지면적
Text

MISSING 

Distinct3491
Distinct (%)83.3%
Missing69
Missing (%)1.6%
Memory size33.4 KiB
2024-04-18T01:29:41.328319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length5.5534351
Min length3

Characters and Unicode

Total characters23280
Distinct characters12
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

Unique2999 ?
Unique (%)71.5%

Sample

1st row390.36
2nd row151.93
3rd row285.03
4th row246.82
5th row84.45
ValueCountFrequency (%)
00 46
 
1.1%
98.00 10
 
0.2%
66.00 9
 
0.2%
80.00 7
 
0.2%
90.00 7
 
0.2%
60.00 6
 
0.1%
224.12 5
 
0.1%
125.00 5
 
0.1%
530.36 5
 
0.1%
90.34 5
 
0.1%
Other values (3481) 4087
97.5%
2024-04-18T01:29:41.719168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 4192
18.0%
1 2665
11.4%
0 2463
10.6%
2 2055
8.8%
9 1845
7.9%
6 1724
7.4%
8 1723
7.4%
3 1707
7.3%
5 1645
 
7.1%
4 1627
 
7.0%
Other values (2) 1634
 
7.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 19037
81.8%
Other Punctuation 4243
 
18.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2665
14.0%
0 2463
12.9%
2 2055
10.8%
9 1845
9.7%
6 1724
9.1%
8 1723
9.1%
3 1707
9.0%
5 1645
8.6%
4 1627
8.5%
7 1583
8.3%
Other Punctuation
ValueCountFrequency (%)
. 4192
98.8%
, 51
 
1.2%

Most occurring scripts

ValueCountFrequency (%)
Common 23280
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 4192
18.0%
1 2665
11.4%
0 2463
10.6%
2 2055
8.8%
9 1845
7.9%
6 1724
7.4%
8 1723
7.4%
3 1707
7.3%
5 1645
 
7.1%
4 1627
 
7.0%
Other values (2) 1634
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23280
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 4192
18.0%
1 2665
11.4%
0 2463
10.6%
2 2055
8.8%
9 1845
7.9%
6 1724
7.4%
8 1723
7.4%
3 1707
7.3%
5 1645
 
7.1%
4 1627
 
7.0%
Other values (2) 1634
 
7.0%

소재지우편번호
Real number (ℝ)

Distinct268
Distinct (%)6.3%
Missing30
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean609977.39
Minimum600011
Maximum619951
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size37.6 KiB
2024-04-18T01:29:41.838151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600011
5-th percentile600805
Q1604852
median611822
Q3614846
95-th percentile617807
Maximum619951
Range19940
Interquartile range (IQR)9994

Descriptive statistics

Standard deviation5586.5686
Coefficient of variation (CV)0.0091586487
Kurtosis-1.1321901
Mean609977.39
Median Absolute Deviation (MAD)3990
Skewness-0.29993977
Sum2.5808143 × 109
Variance31209749
MonotonicityNot monotonic
2024-04-18T01:29:41.952879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
607833 187
 
4.4%
604852 182
 
4.3%
614847 148
 
3.5%
611822 134
 
3.1%
612821 129
 
3.0%
612836 109
 
2.6%
614850 103
 
2.4%
617806 102
 
2.4%
611820 89
 
2.1%
611831 79
 
1.9%
Other values (258) 2969
69.7%
ValueCountFrequency (%)
600011 1
 
< 0.1%
600012 9
0.2%
600013 4
 
0.1%
600015 2
 
< 0.1%
600021 5
 
0.1%
600022 11
0.3%
600023 6
 
0.1%
600025 1
 
< 0.1%
600031 8
0.2%
600032 18
0.4%
ValueCountFrequency (%)
619951 2
 
< 0.1%
619912 14
0.3%
619906 1
 
< 0.1%
619905 2
 
< 0.1%
619903 27
0.6%
618290 15
0.4%
618230 2
 
< 0.1%
618200 4
 
0.1%
617850 1
 
< 0.1%
617838 4
 
0.1%

소재지전체주소
Text

Distinct3300
Distinct (%)77.4%
Missing0
Missing (%)0.0%
Memory size33.4 KiB
2024-04-18T01:29:42.195652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length79
Median length53
Mean length23.292185
Min length16

Characters and Unicode

Total characters99248
Distinct characters271
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2734 ?
Unique (%)64.2%

Sample

1st row부산광역시 연제구 연산동 1127-5
2nd row부산광역시 동구 범일동 830-65 코리아시티관광호텔
3rd row부산광역시 연제구 연산동 1244-7번지
4th row부산광역시 해운대구 중동 1408-5번지 파라다이스호텔본관(지하1층)
5th row부산광역시 연제구 연산동 603-1번지
ValueCountFrequency (%)
부산광역시 4261
22.7%
부산진구 682
 
3.6%
부전동 570
 
3.0%
동래구 496
 
2.6%
해운대구 420
 
2.2%
온천동 371
 
2.0%
연제구 363
 
1.9%
연산동 363
 
1.9%
중구 361
 
1.9%
사하구 346
 
1.8%
Other values (3239) 10522
56.1%
2024-04-18T01:29:42.570617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14502
 
14.6%
부 5739
 
5.8%
산 5335
 
5.4%
동 5080
 
5.1%
1 4528
 
4.6%
광 4450
 
4.5%
구 4279
 
4.3%
시 4269
 
4.3%
역 4262
 
4.3%
- 4221
 
4.3%
Other values (261) 42583
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 57899
58.3%
Decimal Number 21365
 
21.5%
Space Separator 14502
 
14.6%
Dash Punctuation 4221
 
4.3%
Close Punctuation 485
 
0.5%
Open Punctuation 485
 
0.5%
Other Punctuation 248
 
0.2%
Uppercase Letter 42
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 5739
 
9.9%
산 5335
 
9.2%
동 5080
 
8.8%
광 4450
 
7.7%
구 4279
 
7.4%
시 4269
 
7.4%
역 4262
 
7.4%
지 4143
 
7.2%
번 3604
 
6.2%
층 877
 
1.5%
Other values (229) 15861
27.4%
Uppercase Letter
ValueCountFrequency (%)
B 11
26.2%
H 8
19.0%
C 4
 
9.5%
K 3
 
7.1%
T 3
 
7.1%
M 3
 
7.1%
E 2
 
4.8%
A 2
 
4.8%
L 1
 
2.4%
O 1
 
2.4%
Other values (4) 4
 
9.5%
Decimal Number
ValueCountFrequency (%)
1 4528
21.2%
2 3542
16.6%
5 2304
10.8%
3 2256
10.6%
4 2139
10.0%
6 1625
 
7.6%
0 1483
 
6.9%
7 1447
 
6.8%
8 1101
 
5.2%
9 940
 
4.4%
Other Punctuation
ValueCountFrequency (%)
, 229
92.3%
. 17
 
6.9%
/ 2
 
0.8%
Space Separator
ValueCountFrequency (%)
14502
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4221
100.0%
Close Punctuation
ValueCountFrequency (%)
) 485
100.0%
Open Punctuation
ValueCountFrequency (%)
( 485
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 57898
58.3%
Common 41307
41.6%
Latin 42
 
< 0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 5739
 
9.9%
산 5335
 
9.2%
동 5080
 
8.8%
광 4450
 
7.7%
구 4279
 
7.4%
시 4269
 
7.4%
역 4262
 
7.4%
지 4143
 
7.2%
번 3604
 
6.2%
층 877
 
1.5%
Other values (228) 15860
27.4%
Common
ValueCountFrequency (%)
14502
35.1%
1 4528
 
11.0%
- 4221
 
10.2%
2 3542
 
8.6%
5 2304
 
5.6%
3 2256
 
5.5%
4 2139
 
5.2%
6 1625
 
3.9%
0 1483
 
3.6%
7 1447
 
3.5%
Other values (8) 3260
 
7.9%
Latin
ValueCountFrequency (%)
B 11
26.2%
H 8
19.0%
C 4
 
9.5%
K 3
 
7.1%
T 3
 
7.1%
M 3
 
7.1%
E 2
 
4.8%
A 2
 
4.8%
L 1
 
2.4%
O 1
 
2.4%
Other values (4) 4
 
9.5%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 57898
58.3%
ASCII 41349
41.7%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14502
35.1%
1 4528
 
11.0%
- 4221
 
10.2%
2 3542
 
8.6%
5 2304
 
5.6%
3 2256
 
5.5%
4 2139
 
5.2%
6 1625
 
3.9%
0 1483
 
3.6%
7 1447
 
3.5%
Other values (22) 3302
 
8.0%
Hangul
ValueCountFrequency (%)
부 5739
 
9.9%
산 5335
 
9.2%
동 5080
 
8.8%
광 4450
 
7.7%
구 4279
 
7.4%
시 4269
 
7.4%
역 4262
 
7.4%
지 4143
 
7.2%
번 3604
 
6.2%
층 877
 
1.5%
Other values (228) 15860
27.4%
CJK
ValueCountFrequency (%)
內 1
100.0%

도로명전체주소
Text

MISSING 

Distinct2719
Distinct (%)84.6%
Missing1046
Missing (%)24.5%
Memory size33.4 KiB
2024-04-18T01:29:42.795769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length47
Mean length29.048523
Min length19

Characters and Unicode

Total characters93391
Distinct characters289
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2377 ?
Unique (%)73.9%

Sample

1st row부산광역시 연제구 월드컵대로 146, 5층 (연산동)
2nd row부산광역시 동구 조방로 10, 코리아시티관광호텔 3층 (범일동)
3rd row부산광역시 연제구 월드컵대로153번길 9 (연산동)
4th row부산광역시 사하구 사하로 189 (괴정동,(지상2,3층))
5th row부산광역시 해운대구 좌동로 98 (좌동, 디베르비타 지상3층)
ValueCountFrequency (%)
부산광역시 3215
 
18.2%
부산진구 517
 
2.9%
부전동 327
 
1.9%
동래구 320
 
1.8%
해운대구 312
 
1.8%
지하1층 292
 
1.7%
중구 289
 
1.6%
연제구 284
 
1.6%
사하구 273
 
1.5%
동구 249
 
1.4%
Other values (1765) 11553
65.5%
2024-04-18T01:29:43.130198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14437
 
15.5%
부 4500
 
4.8%
동 4198
 
4.5%
산 4048
 
4.3%
1 3588
 
3.8%
광 3573
 
3.8%
구 3366
 
3.6%
) 3333
 
3.6%
( 3333
 
3.6%
시 3287
 
3.5%
Other values (279) 45728
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 55118
59.0%
Decimal Number 14832
 
15.9%
Space Separator 14437
 
15.5%
Close Punctuation 3333
 
3.6%
Open Punctuation 3333
 
3.6%
Other Punctuation 1576
 
1.7%
Dash Punctuation 712
 
0.8%
Uppercase Letter 38
 
< 0.1%
Lowercase Letter 11
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 4500
 
8.2%
동 4198
 
7.6%
산 4048
 
7.3%
광 3573
 
6.5%
구 3366
 
6.1%
시 3287
 
6.0%
역 3215
 
5.8%
로 3143
 
5.7%
길 1917
 
3.5%
번 1865
 
3.4%
Other values (252) 22006
39.9%
Decimal Number
ValueCountFrequency (%)
1 3588
24.2%
2 2506
16.9%
3 1461
9.9%
4 1380
 
9.3%
5 1143
 
7.7%
0 1114
 
7.5%
6 952
 
6.4%
9 924
 
6.2%
8 919
 
6.2%
7 845
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
K 11
28.9%
B 9
23.7%
H 7
18.4%
C 4
 
10.5%
M 2
 
5.3%
A 2
 
5.3%
T 2
 
5.3%
J 1
 
2.6%
Other Punctuation
ValueCountFrequency (%)
, 1570
99.6%
. 6
 
0.4%
Lowercase Letter
ValueCountFrequency (%)
k 7
63.6%
e 4
36.4%
Space Separator
ValueCountFrequency (%)
14437
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3333
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3333
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 712
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 55118
59.0%
Common 38224
40.9%
Latin 49
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 4500
 
8.2%
동 4198
 
7.6%
산 4048
 
7.3%
광 3573
 
6.5%
구 3366
 
6.1%
시 3287
 
6.0%
역 3215
 
5.8%
로 3143
 
5.7%
길 1917
 
3.5%
번 1865
 
3.4%
Other values (252) 22006
39.9%
Common
ValueCountFrequency (%)
14437
37.8%
1 3588
 
9.4%
) 3333
 
8.7%
( 3333
 
8.7%
2 2506
 
6.6%
, 1570
 
4.1%
3 1461
 
3.8%
4 1380
 
3.6%
5 1143
 
3.0%
0 1114
 
2.9%
Other values (7) 4359
 
11.4%
Latin
ValueCountFrequency (%)
K 11
22.4%
B 9
18.4%
H 7
14.3%
k 7
14.3%
e 4
 
8.2%
C 4
 
8.2%
M 2
 
4.1%
A 2
 
4.1%
T 2
 
4.1%
J 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 55118
59.0%
ASCII 38273
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14437
37.7%
1 3588
 
9.4%
) 3333
 
8.7%
( 3333
 
8.7%
2 2506
 
6.5%
, 1570
 
4.1%
3 1461
 
3.8%
4 1380
 
3.6%
5 1143
 
3.0%
0 1114
 
2.9%
Other values (17) 4408
 
11.5%
Hangul
ValueCountFrequency (%)
부 4500
 
8.2%
동 4198
 
7.6%
산 4048
 
7.3%
광 3573
 
6.5%
구 3366
 
6.1%
시 3287
 
6.0%
역 3215
 
5.8%
로 3143
 
5.7%
길 1917
 
3.5%
번 1865
 
3.4%
Other values (252) 22006
39.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct307
Distinct (%)9.9%
Missing1153
Missing (%)27.1%
Infinite0
Infinite (%)0.0%
Mean47950.426
Minimum46015
Maximum49524
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size37.6 KiB
2024-04-18T01:29:43.241977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46015
5-th percentile46501
Q147285
median47813
Q348923
95-th percentile49311.65
Maximum49524
Range3509
Interquartile range (IQR)1638

Descriptive statistics

Standard deviation921.21311
Coefficient of variation (CV)0.019211782
Kurtosis-1.0747084
Mean47950.426
Median Absolute Deviation (MAD)841
Skewness-0.053225727
Sum1.4902992 × 108
Variance848633.6
MonotonicityNot monotonic
2024-04-18T01:29:43.352605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48106 89
 
2.1%
47549 88
 
2.1%
47288 87
 
2.0%
47520 84
 
2.0%
47257 81
 
1.9%
46964 80
 
1.9%
49311 78
 
1.8%
48094 73
 
1.7%
47709 68
 
1.6%
47524 68
 
1.6%
Other values (297) 2312
54.3%
(Missing) 1153
27.1%
ValueCountFrequency (%)
46015 4
 
0.1%
46022 2
 
< 0.1%
46023 21
0.5%
46032 1
 
< 0.1%
46044 9
0.2%
46065 1
 
< 0.1%
46066 16
0.4%
46080 1
 
< 0.1%
46218 1
 
< 0.1%
46230 1
 
< 0.1%
ValueCountFrequency (%)
49524 16
0.4%
49476 1
 
< 0.1%
49475 5
 
0.1%
49427 7
 
0.2%
49408 2
 
< 0.1%
49407 12
0.3%
49381 24
0.6%
49380 4
 
0.1%
49358 2
 
< 0.1%
49355 5
 
0.1%

사업장명
Text

Distinct3335
Distinct (%)78.3%
Missing0
Missing (%)0.0%
Memory size33.4 KiB
2024-04-18T01:29:43.601437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length4.9626848
Min length1

Characters and Unicode

Total characters21146
Distinct characters759
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2837 ?
Unique (%)66.6%

Sample

1st row택시2
2nd row천왕성
3rd row돈텔마마노래주점
4th row바 라메르
5th row부메랑노래주점
ValueCountFrequency (%)
노래주점 58
 
1.2%
노래방 36
 
0.8%
노래방주점 22
 
0.5%
노래타운 18
 
0.4%
술마시는 17
 
0.4%
파라다이스 14
 
0.3%
주점 13
 
0.3%
유흥주점 12
 
0.3%
준코뮤직타운 12
 
0.3%
설탕 10
 
0.2%
Other values (3318) 4446
95.4%
2024-04-18T01:29:43.974518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 1290
 
6.1%
래 1289
 
6.1%
노 1288
 
6.1%
점 1214
 
5.7%
스 524
 
2.5%
방 437
 
2.1%
이 434
 
2.1%
397
 
1.9%
타 291
 
1.4%
라 264
 
1.2%
Other values (749) 13718
64.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19588
92.6%
Space Separator 397
 
1.9%
Uppercase Letter 369
 
1.7%
Decimal Number 309
 
1.5%
Close Punctuation 140
 
0.7%
Open Punctuation 140
 
0.7%
Lowercase Letter 136
 
0.6%
Other Punctuation 48
 
0.2%
Letter Number 12
 
0.1%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1290
 
6.6%
래 1289
 
6.6%
노 1288
 
6.6%
점 1214
 
6.2%
스 524
 
2.7%
방 437
 
2.2%
이 434
 
2.2%
타 291
 
1.5%
라 264
 
1.3%
리 256
 
1.3%
Other values (678) 12301
62.8%
Uppercase Letter
ValueCountFrequency (%)
O 34
 
9.2%
A 31
 
8.4%
M 26
 
7.0%
B 24
 
6.5%
S 22
 
6.0%
I 20
 
5.4%
K 19
 
5.1%
N 19
 
5.1%
R 19
 
5.1%
V 19
 
5.1%
Other values (15) 136
36.9%
Lowercase Letter
ValueCountFrequency (%)
e 19
14.0%
a 16
11.8%
o 16
11.8%
n 14
10.3%
i 12
8.8%
s 10
7.4%
r 10
7.4%
m 5
 
3.7%
g 5
 
3.7%
h 5
 
3.7%
Other values (9) 24
17.6%
Decimal Number
ValueCountFrequency (%)
2 68
22.0%
0 59
19.1%
1 44
14.2%
7 35
11.3%
8 32
10.4%
3 19
 
6.1%
4 16
 
5.2%
6 13
 
4.2%
9 12
 
3.9%
5 10
 
3.2%
Other Punctuation
ValueCountFrequency (%)
. 32
66.7%
, 7
 
14.6%
# 2
 
4.2%
% 2
 
4.2%
? 1
 
2.1%
! 1
 
2.1%
; 1
 
2.1%
& 1
 
2.1%
· 1
 
2.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 7
58.3%
Ⅰ 5
41.7%
Space Separator
ValueCountFrequency (%)
397
100.0%
Close Punctuation
ValueCountFrequency (%)
) 140
100.0%
Open Punctuation
ValueCountFrequency (%)
( 140
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Math Symbol
ValueCountFrequency (%)
∥ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19584
92.6%
Common 1041
 
4.9%
Latin 517
 
2.4%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1290
 
6.6%
래 1289
 
6.6%
노 1288
 
6.6%
점 1214
 
6.2%
스 524
 
2.7%
방 437
 
2.2%
이 434
 
2.2%
타 291
 
1.5%
라 264
 
1.3%
리 256
 
1.3%
Other values (674) 12297
62.8%
Latin
ValueCountFrequency (%)
O 34
 
6.6%
A 31
 
6.0%
M 26
 
5.0%
B 24
 
4.6%
S 22
 
4.3%
I 20
 
3.9%
K 19
 
3.7%
N 19
 
3.7%
R 19
 
3.7%
e 19
 
3.7%
Other values (36) 284
54.9%
Common
ValueCountFrequency (%)
397
38.1%
) 140
 
13.4%
( 140
 
13.4%
2 68
 
6.5%
0 59
 
5.7%
1 44
 
4.2%
7 35
 
3.4%
8 32
 
3.1%
. 32
 
3.1%
3 19
 
1.8%
Other values (15) 75
 
7.2%
Han
ValueCountFrequency (%)
女 1
25.0%
休 1
25.0%
高 1
25.0%
元 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19584
92.6%
ASCII 1541
 
7.3%
Number Forms 12
 
0.1%
Math Operators 3
 
< 0.1%
CJK 3
 
< 0.1%
None 2
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 1290
 
6.6%
래 1289
 
6.6%
노 1288
 
6.6%
점 1214
 
6.2%
스 524
 
2.7%
방 437
 
2.2%
이 434
 
2.2%
타 291
 
1.5%
라 264
 
1.3%
리 256
 
1.3%
Other values (674) 12297
62.8%
ASCII
ValueCountFrequency (%)
397
25.8%
) 140
 
9.1%
( 140
 
9.1%
2 68
 
4.4%
0 59
 
3.8%
1 44
 
2.9%
7 35
 
2.3%
O 34
 
2.2%
8 32
 
2.1%
. 32
 
2.1%
Other values (56) 560
36.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 7
58.3%
Ⅰ 5
41.7%
Math Operators
ValueCountFrequency (%)
∥ 3
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
女 1
100.0%
CJK
ValueCountFrequency (%)
休 1
33.3%
高 1
33.3%
元 1
33.3%
None
ValueCountFrequency (%)
２ 1
50.0%
· 1
50.0%

최종수정시점
Real number (ℝ)

Distinct3917
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.014429 × 1013
Minimum1.9990302 × 1013
Maximum2.0210331 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size37.6 KiB
2024-04-18T01:29:44.090087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.9990302 × 1013
5-th percentile2.0020611 × 1013
Q12.0110311 × 1013
median2.0180104 × 1013
Q32.0191205 × 1013
95-th percentile2.0201208 × 1013
Maximum2.0210331 × 1013
Range2.2002915 × 1011
Interquartile range (IQR)8.0894069 × 1010

Descriptive statistics

Standard deviation6.310949 × 1010
Coefficient of variation (CV)0.0031328724
Kurtosis-0.55459481
Mean2.014429 × 1013
Median Absolute Deviation (MAD)2.0817987 × 1010
Skewness-0.92866706
Sum8.5834819 × 1016
Variance3.9828077 × 1021
MonotonicityNot monotonic
2024-04-18T01:29:44.227039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20030110000000 25
 
0.6%
20020612000000 18
 
0.4%
20021120000000 17
 
0.4%
20020918000000 17
 
0.4%
20020610000000 15
 
0.4%
20040324000000 13
 
0.3%
20011205000000 12
 
0.3%
20020611000000 12
 
0.3%
20020225000000 11
 
0.3%
20050617000000 11
 
0.3%
Other values (3907) 4110
96.5%
ValueCountFrequency (%)
19990302000000 1
< 0.1%
19990303000000 1
< 0.1%
19990304000000 1
< 0.1%
19990316000000 2
< 0.1%
19990330000000 1
< 0.1%
19990421000000 1
< 0.1%
19990615000000 1
< 0.1%
19990826000000 1
< 0.1%
19990921000000 2
< 0.1%
19991026000000 1
< 0.1%
ValueCountFrequency (%)
20210331154120 1
< 0.1%
20210331154025 1
< 0.1%
20210331152546 1
< 0.1%
20210331142007 1
< 0.1%
20210331120612 1
< 0.1%
20210331112026 1
< 0.1%
20210331111944 1
< 0.1%
20210331101710 1
< 0.1%
20210330222726 1
< 0.1%
20210330222655 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.4 KiB
I
2649 
U
1612 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 2649
62.2%
U 1612
37.8%

Length

2024-04-18T01:29:44.317913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:29:44.393561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2649
62.2%
u 1612
37.8%

데이터갱신일자
Date

Distinct555
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size33.4 KiB
Minimum2018-08-31 23:59:59
Maximum2021-04-02 02:40:00
2024-04-18T01:29:44.476618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:29:44.583395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct15
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size33.4 KiB
간이주점
1448 
룸살롱
953 
기타
751 
카바레
411 
스텐드바
227 
Other values (10)
471 

Length

Max length12
Median length9
Mean length3.5315654
Min length2

Unique

Unique3 ?
Unique (%)0.1%

Sample

1st row룸살롱
2nd row룸살롱
3rd row룸살롱
4th row비어(바)살롱
5th row기타

Common Values

ValueCountFrequency (%)
간이주점 1448
34.0%
룸살롱 953
22.4%
기타 751
17.6%
카바레 411
 
9.6%
스텐드바 227
 
5.3%
비어(바)살롱 169
 
4.0%
요정 136
 
3.2%
노래클럽 59
 
1.4%
고고(디스코)클럽 49
 
1.1%
관광호텔나이트(디스코) 25
 
0.6%
Other values (5) 33
 
0.8%

Length

2024-04-18T01:29:44.687663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
간이주점 1448
34.0%
룸살롱 953
22.4%
기타 752
17.6%
카바레 411
 
9.6%
스텐드바 227
 
5.3%
비어(바)살롱 169
 
4.0%
요정 136
 
3.2%
노래클럽 59
 
1.4%
고고(디스코)클럽 49
 
1.1%
관광호텔나이트(디스코 25
 
0.6%
Other values (5) 33
 
0.8%

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct2321
Distinct (%)55.9%
Missing109
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean387582.16
Minimum366797.99
Maximum407297.56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size37.6 KiB
2024-04-18T01:29:44.778063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum366797.99
5-th percentile379289.66
Q1384628.93
median387460.64
Q3389657.89
95-th percentile397649.68
Maximum407297.56
Range40499.567
Interquartile range (IQR)5028.9631

Descriptive statistics

Standard deviation5185.2288
Coefficient of variation (CV)0.013378399
Kurtosis0.38753161
Mean387582.16
Median Absolute Deviation (MAD)2354.7402
Skewness0.31998032
Sum1.6092411 × 109
Variance26886598
MonotonicityNot monotonic
2024-04-18T01:29:44.885811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
398158.234436042 20
 
0.5%
398127.408842673 18
 
0.4%
371268.326316118 15
 
0.4%
389766.920425517 14
 
0.3%
389769.596168536 14
 
0.3%
389425.128229908 13
 
0.3%
389687.358019058 12
 
0.3%
391647.224112311 11
 
0.3%
387480.788335254 10
 
0.2%
396380.289006807 10
 
0.2%
Other values (2311) 4015
94.2%
(Missing) 109
 
2.6%
ValueCountFrequency (%)
366797.989707445 2
 
< 0.1%
371268.326316118 15
0.4%
373350.085112146 1
 
< 0.1%
373739.372644643 1
 
< 0.1%
373925.111972629 1
 
< 0.1%
373931.547505055 1
 
< 0.1%
378976.512097563 1
 
< 0.1%
378977.816150189 1
 
< 0.1%
378996.030658628 2
 
< 0.1%
379013.765248406 1
 
< 0.1%
ValueCountFrequency (%)
407297.556272267 1
 
< 0.1%
404771.782281376 1
 
< 0.1%
403240.614187049 1
 
< 0.1%
403220.86243484 1
 
< 0.1%
403211.411148352 2
< 0.1%
403206.588717483 1
 
< 0.1%
403200.483344319 2
< 0.1%
403186.431834992 2
< 0.1%
403179.253509945 3
0.1%
403125.580225423 1
 
< 0.1%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct2321
Distinct (%)55.9%
Missing109
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean186282.73
Minimum174765.31
Maximum207205.17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size37.6 KiB
2024-04-18T01:29:44.989075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174765.31
5-th percentile178961
Q1181615.39
median186506.7
Q3189563.83
95-th percentile193246
Maximum207205.17
Range32439.862
Interquartile range (IQR)7948.4399

Descriptive statistics

Standard deviation4975.4997
Coefficient of variation (CV)0.026709399
Kurtosis0.12168049
Mean186282.73
Median Absolute Deviation (MAD)3381.4577
Skewness0.26652291
Sum7.734459 × 108
Variance24755597
MonotonicityNot monotonic
2024-04-18T01:29:45.092490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
187915.79886332 20
 
0.5%
187967.67630527 18
 
0.4%
177982.49614076 15
 
0.4%
189563.825436941 14
 
0.3%
189597.688249197 14
 
0.3%
189489.77872283 13
 
0.3%
189515.633942149 12
 
0.3%
192549.490988738 11
 
0.3%
185589.971609289 10
 
0.2%
186682.617364514 10
 
0.2%
Other values (2311) 4015
94.2%
(Missing) 109
 
2.6%
ValueCountFrequency (%)
174765.307900471 2
< 0.1%
174773.34037535 2
< 0.1%
174776.003183495 1
 
< 0.1%
174788.915638233 1
 
< 0.1%
174801.673524499 1
 
< 0.1%
174803.313424547 1
 
< 0.1%
174822.951508413 2
< 0.1%
174848.053190733 3
0.1%
174857.430376907 2
< 0.1%
174883.742734168 3
0.1%
ValueCountFrequency (%)
207205.169925653 1
 
< 0.1%
205667.604050349 1
 
< 0.1%
204823.271776831 1
 
< 0.1%
204805.740046167 1
 
< 0.1%
204784.915660845 3
0.1%
204715.112769151 1
 
< 0.1%
204693.184874424 1
 
< 0.1%
204671.95943725 4
0.1%
204651.223705559 2
< 0.1%
204602.742663269 3
0.1%

위생업태명
Categorical

Distinct15
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size33.4 KiB
간이주점
1448 
룸살롱
953 
기타
750 
카바레
411 
스텐드바
227 
Other values (10)
472 

Length

Max length12
Median length9
Mean length3.5320347
Min length2

Unique

Unique3 ?
Unique (%)0.1%

Sample

1st row룸살롱
2nd row룸살롱
3rd row룸살롱
4th row비어(바)살롱
5th row기타

Common Values

ValueCountFrequency (%)
간이주점 1448
34.0%
룸살롱 953
22.4%
기타 750
17.6%
카바레 411
 
9.6%
스텐드바 227
 
5.3%
비어(바)살롱 169
 
4.0%
요정 136
 
3.2%
노래클럽 59
 
1.4%
고고(디스코)클럽 49
 
1.1%
관광호텔나이트(디스코) 25
 
0.6%
Other values (5) 34
 
0.8%

Length

2024-04-18T01:29:45.198716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
간이주점 1448
34.0%
룸살롱 953
22.4%
기타 751
17.6%
카바레 411
 
9.6%
스텐드바 227
 
5.3%
비어(바)살롱 169
 
4.0%
요정 136
 
3.2%
노래클럽 59
 
1.4%
고고(디스코)클럽 49
 
1.1%
관광호텔나이트(디스코 25
 
0.6%
Other values (5) 34
 
0.8%

남성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)0.4%
Missing1795
Missing (%)42.1%
Infinite0
Infinite (%)0.0%
Mean0.10786699
Minimum0
Maximum21
Zeros2311
Zeros (%)54.2%
Negative0
Negative (%)0.0%
Memory size37.6 KiB
2024-04-18T01:29:45.274508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum21
Range21
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.67023273
Coefficient of variation (CV)6.213511
Kurtosis462.48842
Mean0.10786699
Median Absolute Deviation (MAD)0
Skewness17.809383
Sum266
Variance0.44921192
MonotonicityNot monotonic
2024-04-18T01:29:45.354218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 2311
54.2%
1 103
 
2.4%
2 36
 
0.8%
3 8
 
0.2%
5 3
 
0.1%
4 2
 
< 0.1%
21 1
 
< 0.1%
10 1
 
< 0.1%
13 1
 
< 0.1%
(Missing) 1795
42.1%
ValueCountFrequency (%)
0 2311
54.2%
1 103
 
2.4%
2 36
 
0.8%
3 8
 
0.2%
4 2
 
< 0.1%
5 3
 
0.1%
10 1
 
< 0.1%
13 1
 
< 0.1%
21 1
 
< 0.1%
ValueCountFrequency (%)
21 1
 
< 0.1%
13 1
 
< 0.1%
10 1
 
< 0.1%
5 3
 
0.1%
4 2
 
< 0.1%
3 8
 
0.2%
2 36
 
0.8%
1 103
 
2.4%
0 2311
54.2%

여성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)0.5%
Missing1796
Missing (%)42.1%
Infinite0
Infinite (%)0.0%
Mean0.19959432
Minimum0
Maximum33
Zeros2311
Zeros (%)54.2%
Negative0
Negative (%)0.0%
Memory size37.6 KiB
2024-04-18T01:29:45.427784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum33
Range33
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.2303322
Coefficient of variation (CV)6.1641645
Kurtosis271.13462
Mean0.19959432
Median Absolute Deviation (MAD)0
Skewness13.624155
Sum492
Variance1.5137174
MonotonicityNot monotonic
2024-04-18T01:29:45.506169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 2311
54.2%
1 49
 
1.1%
2 41
 
1.0%
3 32
 
0.8%
5 13
 
0.3%
10 7
 
0.2%
4 4
 
0.1%
6 2
 
< 0.1%
8 2
 
< 0.1%
15 1
 
< 0.1%
Other values (3) 3
 
0.1%
(Missing) 1796
42.1%
ValueCountFrequency (%)
0 2311
54.2%
1 49
 
1.1%
2 41
 
1.0%
3 32
 
0.8%
4 4
 
0.1%
5 13
 
0.3%
6 2
 
< 0.1%
8 2
 
< 0.1%
10 7
 
0.2%
15 1
 
< 0.1%
ValueCountFrequency (%)
33 1
 
< 0.1%
20 1
 
< 0.1%
18 1
 
< 0.1%
15 1
 
< 0.1%
10 7
 
0.2%
8 2
 
< 0.1%
6 2
 
< 0.1%
5 13
0.3%
4 4
 
0.1%
3 32
0.8%

영업장주변구분명
Categorical

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size33.4 KiB
기타
1480 
<NA>
1463 
유흥업소밀집지역
1118 
학교정화(상대)
154 
주택가주변
 
23
Other values (3)
 
23

Length

Max length8
Median length7
Mean length4.5210045
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타 1480
34.7%
<NA> 1463
34.3%
유흥업소밀집지역 1118
26.2%
학교정화(상대) 154
 
3.6%
주택가주변 23
 
0.5%
학교정화(절대) 12
 
0.3%
아파트지역 6
 
0.1%
결혼예식장주변 5
 
0.1%

Length

2024-04-18T01:29:45.601622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:29:45.695799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 1480
34.7%
na 1463
34.3%
유흥업소밀집지역 1118
26.2%
학교정화(상대 154
 
3.6%
주택가주변 23
 
0.5%
학교정화(절대 12
 
0.3%
아파트지역 6
 
0.1%
결혼예식장주변 5
 
0.1%

등급구분명
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size33.4 KiB
<NA>
2439 
기타
1465 
자율
302 
우수
 
45
지도
 
8
Other values (2)
 
2

Length

Max length4
Median length4
Mean length3.144567
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2439
57.2%
기타 1465
34.4%
자율 302
 
7.1%
우수 45
 
1.1%
지도 8
 
0.2%
갑 1
 
< 0.1%
관리 1
 
< 0.1%

Length

2024-04-18T01:29:45.812087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:29:45.909546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2439
57.2%
기타 1465
34.4%
자율 302
 
7.1%
우수 45
 
1.1%
지도 8
 
0.2%
갑 1
 
< 0.1%
관리 1
 
< 0.1%

급수시설구분명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size33.4 KiB
<NA>
2293 
상수도전용
1961 
지하수전용
 
4
간이상수도
 
3

Length

Max length5
Median length4
Mean length4.4618634
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2293
53.8%
상수도전용 1961
46.0%
지하수전용 4
 
0.1%
간이상수도 3
 
0.1%

Length

2024-04-18T01:29:45.999094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:29:46.078857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2293
53.8%
상수도전용 1961
46.0%
지하수전용 4
 
0.1%
간이상수도 3
 
0.1%

총종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4261
Missing (%)100.0%
Memory size37.6 KiB

본사종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4261
Missing (%)100.0%
Memory size37.6 KiB

공장사무직종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4261
Missing (%)100.0%
Memory size37.6 KiB

공장판매직종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4261
Missing (%)100.0%
Memory size37.6 KiB

공장생산직종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4261
Missing (%)100.0%
Memory size37.6 KiB

건물소유구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4261
Missing (%)100.0%
Memory size37.6 KiB

보증액
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4261
Missing (%)100.0%
Memory size37.6 KiB

월세액
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4261
Missing (%)100.0%
Memory size37.6 KiB

다중이용업소여부
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
False
2668 
True
1593 
ValueCountFrequency (%)
False 2668
62.6%
True 1593
37.4%
2024-04-18T01:29:46.154544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

ZEROS 

Distinct3491
Distinct (%)81.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean181.9782
Minimum0
Maximum7101.75
Zeros114
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size37.6 KiB
2024-04-18T01:29:46.239580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile32.22
Q180.59
median111.4
Q3199.41
95-th percentile533.43
Maximum7101.75
Range7101.75
Interquartile range (IQR)118.82

Descriptive statistics

Standard deviation261.95346
Coefficient of variation (CV)1.4394772
Kurtosis184.0352
Mean181.9782
Median Absolute Deviation (MAD)44.12
Skewness10.15073
Sum775409.09
Variance68619.616
MonotonicityNot monotonic
2024-04-18T01:29:46.605648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 114
 
2.7%
98.0 10
 
0.2%
66.0 9
 
0.2%
80.0 7
 
0.2%
90.0 7
 
0.2%
60.0 6
 
0.1%
781.54 5
 
0.1%
97.0 5
 
0.1%
125.0 5
 
0.1%
99.0 5
 
0.1%
Other values (3481) 4088
95.9%
ValueCountFrequency (%)
0.0 114
2.7%
9.0 2
 
< 0.1%
10.6 1
 
< 0.1%
11.0 1
 
< 0.1%
12.46 1
 
< 0.1%
12.9 1
 
< 0.1%
13.5 1
 
< 0.1%
14.8 1
 
< 0.1%
16.25 1
 
< 0.1%
16.37 1
 
< 0.1%
ValueCountFrequency (%)
7101.75 1
< 0.1%
4749.96 1
< 0.1%
4630.74 1
< 0.1%
4039.07 1
< 0.1%
3684.37 1
< 0.1%
2598.69 1
< 0.1%
2466.83 1
< 0.1%
2392.96 1
< 0.1%
2370.84 1
< 0.1%
2341.0 1
< 0.1%

전통업소지정번호
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing4259
Missing (%)> 99.9%
Memory size33.4 KiB
2024-04-18T01:29:46.669968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3.5
Mean length3.5
Min length2

Characters and Unicode

Total characters7
Distinct characters3
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

Unique2 ?
Unique (%)100.0%

Sample

1st row.8
2nd row-----
ValueCountFrequency (%)
8 1
50.0%
1
50.0%
2024-04-18T01:29:46.822347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 5
71.4%
. 1
 
14.3%
8 1
 
14.3%

Most occurring categories

ValueCountFrequency (%)
Dash Punctuation 5
71.4%
Other Punctuation 1
 
14.3%
Decimal Number 1
 
14.3%

Most frequent character per category

Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Decimal Number
ValueCountFrequency (%)
8 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 5
71.4%
. 1
 
14.3%
8 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 5
71.4%
. 1
 
14.3%
8 1
 
14.3%

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4261
Missing (%)100.0%
Memory size37.6 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4261
Missing (%)100.0%
Memory size37.6 KiB

Unnamed: 47
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4261
Missing (%)100.0%
Memory size37.6 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지Unnamed: 47
01유흥주점영업07_23_02_P33700003370000-102-2020-0000320200317<NA>3폐업2폐업20210106<NA><NA><NA><NA>390.36611831부산광역시 연제구 연산동 1127-5부산광역시 연제구 월드컵대로 146, 5층 (연산동)47524택시220210106153804I2021-01-08 00:23:04.0룸살롱389425.12823189489.778723룸살롱<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N390.36<NA><NA><NA><NA>
12유흥주점영업07_23_02_P32700003270000-102-2020-0000120201126<NA>3폐업2폐업20210201<NA><NA><NA>051 636 3997151.93601807부산광역시 동구 범일동 830-65 코리아시티관광호텔부산광역시 동구 조방로 10, 코리아시티관광호텔 3층 (범일동)48743천왕성20210202111158U2021-02-04 02:40:00.0룸살롱388002.448307184046.278157룸살롱<NA><NA>유흥업소밀집지역<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>Y151.93<NA><NA><NA><NA>
23유흥주점영업07_23_02_P33700003370000-102-2004-0001920040616<NA>3폐업2폐업20170904<NA><NA><NA>051 8516009285.03611828부산광역시 연제구 연산동 1244-7번지부산광역시 연제구 월드컵대로153번길 9 (연산동)47540돈텔마마노래주점20170904155759I2018-08-31 23:59:59.0룸살롱389334.783334189411.565868룸살롱12유흥업소밀집지역<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N285.03<NA><NA><NA><NA>
34유흥주점영업07_23_02_P33300003330000-102-2007-0002620071108<NA>3폐업2폐업20110817<NA><NA><NA>051 7492620246.82612846부산광역시 해운대구 중동 1408-5번지 파라다이스호텔본관(지하1층)<NA><NA>바 라메르20100126151641I2018-08-31 23:59:59.0비어(바)살롱397216.86091186702.956398비어(바)살롱<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N246.82<NA><NA><NA><NA>
45유흥주점영업07_23_02_P33700003370000-102-2004-0001820040604<NA>3폐업2폐업20050902<NA><NA><NA>051 864555184.45611820부산광역시 연제구 연산동 603-1번지<NA><NA>부메랑노래주점20050321000000I2018-08-31 23:59:59.0기타389769.596169189597.688249기타00유흥업소밀집지역<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N84.45<NA><NA><NA><NA>
56유흥주점영업07_23_02_P33300003330000-102-2007-0002720071112<NA>3폐업2폐업20091231<NA><NA><NA>051 704 777388.95612836부산광역시 해운대구 좌동 1463-3번지 원프라자401호(지상4층)<NA><NA>대기중20101111094952I2018-08-31 23:59:59.0기타398172.0516187974.731166기타<NA><NA>유흥업소밀집지역<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N88.95<NA><NA><NA><NA>
67유흥주점영업07_23_02_P33300003330000-102-2006-0000420060502<NA>3폐업2폐업20090507<NA><NA><NA>051 701081169.28612836부산광역시 해운대구 좌동 1465-3 번지 이스트월드503호(지상5층)<NA><NA>챔피언20070427000000I2018-08-31 23:59:59.0기타<NA><NA>기타00유흥업소밀집지역<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N69.28<NA><NA><NA><NA>
78유흥주점영업07_23_02_P33400003340000-102-2006-0001420061221<NA>3폐업2폐업20160201<NA><NA><NA><NA>1,639.48604814부산광역시 사하구 괴정동 950-2번지 (지상2,3층)부산광역시 사하구 사하로 189 (괴정동,(지상2,3층))49381터널나이트클럽20131203145124I2018-08-31 23:59:59.0고고(디스코)클럽381702.406077179526.795054고고(디스코)클럽<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N1639.48<NA><NA><NA><NA>
89유흥주점영업07_23_02_P33300003330000-102-2006-0000320060421<NA>3폐업2폐업20140618<NA><NA><NA><NA>228.78612836부산광역시 해운대구 좌동 1461-6번지부산광역시 해운대구 좌동로 98 (좌동, 디베르비타 지상3층)48106피노키오노래주점20130717155314I2018-08-31 23:59:59.0기타398159.32455188084.467738기타00유흥업소밀집지역<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N228.78<NA><NA><NA><NA>
910유흥주점영업07_23_02_P33700003370000-102-2003-0001220030321<NA>3폐업2폐업20051130<NA><NA><NA>051 865658090.10611080부산광역시 연제구 연산동 1127-30번지<NA><NA>홍콩노래주점20040221000000I2018-08-31 23:59:59.0룸살롱<NA><NA>룸살롱00유흥업소밀집지역<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N90.1<NA><NA><NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지Unnamed: 47
42514252유흥주점영업07_23_02_P33300003330000-102-2019-0000220190212<NA>1영업/정상1영업<NA><NA><NA><NA>051 740 5005908.46612822부산광역시 해운대구 우동 760-3번지 오션타워부산광역시 해운대구 해운대해변로 203, 오션타워 20층 2001호 (우동)48093두바이20200605095955U2020-06-07 02:40:00.0룸살롱396180.621245186522.350475룸살롱<NA><NA>유흥업소밀집지역<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>Y908.46<NA><NA><NA><NA>
42524253유흥주점영업07_23_02_P33300003330000-102-2019-0000120190114<NA>1영업/정상1영업<NA><NA><NA><NA><NA>197.56612821부산광역시 해운대구 우동 644-2 다올빌딩부산광역시 해운대구 해운대로570번길 23, 6층 일부호 (우동)48094골든벨20200703141003U2020-07-05 02:40:00.0룸살롱396433.47167186736.180431룸살롱<NA><NA>유흥업소밀집지역<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>Y197.56<NA><NA><NA><NA>
42534254유흥주점영업07_23_02_P33800003380000-102-2019-0000120190228<NA>1영업/정상1영업<NA><NA><NA><NA><NA>247.68613805부산광역시 수영구 광안동 200-4번지부산광역시 수영구 광안해변로 179, 지하1층 (광안동)48303준코뮤직타운 광안리점20190228143422I2019-03-02 02:21:37.0노래클럽392732.161638185542.452702노래클럽<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>Y247.68<NA><NA><NA><NA>
42544255유흥주점영업07_23_02_P33000003300000-102-2019-0000120190130<NA>1영업/정상1영업<NA><NA><NA><NA><NA>116.02607832부산광역시 동래구 온천동 137-15번지부산광역시 동래구 온천장로107번길 16, 2층 (온천동)47709놀러와20190130091631I2019-02-01 02:21:07.0노래클럽389627.015296193240.631574노래클럽<NA><NA>유흥업소밀집지역<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>Y116.02<NA><NA><NA><NA>
42554256유흥주점영업07_23_02_P32500003250000-102-2019-0000120190131<NA>1영업/정상1영업<NA><NA><NA><NA>051 2549990104.45600021부산광역시 중구 동광동1가 6-4부산광역시 중구 광복로97번길 12, 2층 (동광동1가)48955라임20200728202127U2020-07-30 02:40:00.0간이주점385527.572807179750.645357간이주점<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>Y104.45<NA><NA><NA><NA>
42564257유흥주점영업07_23_02_P32900003290000-102-2018-0000920181105<NA>1영업/정상1영업<NA><NA><NA><NA><NA>110.35614844부산광역시 부산진구 부전동 259-2부산광역시 부산진구 새싹로 5, 지하1층 (부전동)47256미녀봉실내포장센타20201116143152U2020-11-18 02:40:00.0기타387475.789718186305.393375기타<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>Y110.35<NA><NA><NA><NA>
42574258유흥주점영업07_23_02_P33300003330000-102-2018-0001120181227<NA>1영업/정상1영업<NA><NA><NA><NA>051 747 5580541.56612847부산광역시 해운대구 중동 1391-66번지 웨이브타운부산광역시 해운대구 구남로 46, 웨이브타운 5층 501호 (중동)48094락휴 노래타운 해운대비치점20181227114956I2018-12-29 02:20:32.0기타396869.147995186689.281721기타<NA><NA>유흥업소밀집지역<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>Y541.56<NA><NA><NA><NA>
42584259유흥주점영업07_23_02_P33300003330000-102-2018-0001020181121<NA>1영업/정상1영업<NA><NA><NA><NA><NA>297.22612821부산광역시 해운대구 우동 542-5번지 해월프라자부산광역시 해운대구 구남로 22, 해월프라자 4층 일부호 (우동)48094탑텐노래타운20181122084132I2018-11-24 02:37:41.0룸살롱396720.159461186887.613142룸살롱<NA><NA>유흥업소밀집지역<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>Y297.22<NA><NA><NA><NA>
42594260유흥주점영업07_23_02_P32500003250000-102-2018-0000320181108<NA>1영업/정상1영업<NA><NA><NA><NA><NA>123.62600045부산광역시 중구 남포동5가 68-3번지부산광역시 중구 자갈치로 55-2, 2층 (남포동5가)48983올리브20181108170639I2018-11-16 10:18:46.0노래클럽385071.591646179498.11999노래클럽<NA><NA>유흥업소밀집지역<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>Y123.62<NA><NA><NA><NA>
42604261유흥주점영업07_23_02_P32600003260000-102-2018-0000220181204<NA>1영업/정상1영업<NA><NA><NA><NA>051 242 8001151.47602011부산광역시 서구 충무동1가 12-121번지부산광역시 서구 자갈치로 6 (충무동1가)49254월드20191220153113U2019-12-22 02:40:00.0룸살롱384593.910664179324.070366룸살롱<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>Y151.47<NA><NA><NA><NA>