Overview

Dataset statistics

Number of variables48
Number of observations4257
Missing cells77502
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

Description2021-02-01
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 4257 (100.0%) missing valuesMissing
폐업일자 has 2456 (57.7%) missing valuesMissing
휴업시작일자 has 4257 (100.0%) missing valuesMissing
휴업종료일자 has 4257 (100.0%) missing valuesMissing
재개업일자 has 4257 (100.0%) missing valuesMissing
소재지전화 has 835 (19.6%) missing valuesMissing
소재지면적 has 69 (1.6%) missing valuesMissing
도로명전체주소 has 1047 (24.6%) missing valuesMissing
도로명우편번호 has 1154 (27.1%) missing valuesMissing
좌표정보(x) has 109 (2.6%) missing valuesMissing
좌표정보(y) has 109 (2.6%) missing valuesMissing
남성종사자수 has 1791 (42.1%) missing valuesMissing
여성종사자수 has 1792 (42.1%) missing valuesMissing
총종업원수 has 4257 (100.0%) missing valuesMissing
본사종업원수 has 4257 (100.0%) missing valuesMissing
공장사무직종업원수 has 4257 (100.0%) missing valuesMissing
공장판매직종업원수 has 4257 (100.0%) missing valuesMissing
공장생산직종업원수 has 4257 (100.0%) missing valuesMissing
건물소유구분명 has 4257 (100.0%) missing valuesMissing
보증액 has 4257 (100.0%) missing valuesMissing
월세액 has 4257 (100.0%) missing valuesMissing
전통업소지정번호 has 4255 (> 99.9%) missing valuesMissing
전통업소주된음식 has 4257 (100.0%) missing valuesMissing
홈페이지 has 4257 (100.0%) missing valuesMissing
Unnamed: 47 has 4257 (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 (54.3%) zerosZeros
여성종사자수 has 2311 (54.3%) zerosZeros
시설총규모 has 114 (2.7%) zerosZeros

Reproduction

Analysis started2024-04-17 16:24:55.902993
Analysis finished2024-04-17 16:24:57.074545
Duration1.17 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct4257
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2129
Minimum1
Maximum4257
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size37.5 KiB
2024-04-18T01:24:57.129416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile213.8
Q11065
median2129
Q33193
95-th percentile4044.2
Maximum4257
Range4256
Interquartile range (IQR)2128

Descriptive statistics

Standard deviation1229.0344
Coefficient of variation (CV)0.57728247
Kurtosis-1.2
Mean2129
Median Absolute Deviation (MAD)1064
Skewness0
Sum9063153
Variance1510525.5
MonotonicityStrictly increasing
2024-04-18T01:24:57.225744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2844 1
 
< 0.1%
2830 1
 
< 0.1%
2831 1
 
< 0.1%
2832 1
 
< 0.1%
2833 1
 
< 0.1%
2834 1
 
< 0.1%
2835 1
 
< 0.1%
2836 1
 
< 0.1%
2837 1
 
< 0.1%
Other values (4247) 4247
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 (%)
4257 1
< 0.1%
4256 1
< 0.1%
4255 1
< 0.1%
4254 1
< 0.1%
4253 1
< 0.1%
4252 1
< 0.1%
4251 1
< 0.1%
4250 1
< 0.1%
4249 1
< 0.1%
4248 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.4 KiB
유흥주점영업
4257 

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 4257
100.0%

Length

2024-04-18T01:24:57.327417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:24:57.410332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유흥주점영업 4257
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.4 KiB
07_23_02_P
4257 

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 4257
100.0%

Length

2024-04-18T01:24:57.480476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:24:57.550085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_23_02_p 4257
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3316335.4
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size37.5 KiB
2024-04-18T01:24:57.616542image/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 deviation42350.003
Coefficient of variation (CV)0.012770121
Kurtosis-0.94463266
Mean3316335.4
Median Absolute Deviation (MAD)30000
Skewness0.28600492
Sum1.411764 × 1010
Variance1.7935228 × 109
MonotonicityNot monotonic
2024-04-18T01:24:57.721882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3290000 682
16.0%
3300000 496
11.7%
3330000 419
9.8%
3370000 362
8.5%
3250000 360
8.5%
3340000 346
8.1%
3270000 312
7.3%
3390000 280
6.6%
3320000 259
 
6.1%
3280000 196
 
4.6%
Other values (6) 545
12.8%
ValueCountFrequency (%)
3250000 360
8.5%
3260000 88
 
2.1%
3270000 312
7.3%
3280000 196
 
4.6%
3290000 682
16.0%
3300000 496
11.7%
3310000 74
 
1.7%
3320000 259
 
6.1%
3330000 419
9.8%
3340000 346
8.1%
ValueCountFrequency (%)
3400000 76
 
1.8%
3390000 280
6.6%
3380000 171
4.0%
3370000 362
8.5%
3360000 21
 
0.5%
3350000 115
 
2.7%
3340000 346
8.1%
3330000 419
9.8%
3320000 259
6.1%
3310000 74
 
1.7%

관리번호
Text

UNIQUE 

Distinct4257
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size33.4 KiB
2024-04-18T01:24:57.892184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters93654
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

Unique4257 ?
Unique (%)100.0%

Sample

1st row3260000-102-2018-00002
2nd row3250000-102-2018-00003
3rd row3330000-102-2018-00010
4th row3330000-102-2018-00011
5th row3290000-102-2018-00009
ValueCountFrequency (%)
3260000-102-2018-00002 1
 
< 0.1%
3300000-102-2000-01600 1
 
< 0.1%
3300000-102-1999-01519 1
 
< 0.1%
3250000-102-1983-00950 1
 
< 0.1%
3300000-102-1999-01520 1
 
< 0.1%
3300000-102-1999-01522 1
 
< 0.1%
3300000-102-1999-01565 1
 
< 0.1%
3300000-102-1999-01557 1
 
< 0.1%
3300000-102-1999-01559 1
 
< 0.1%
3300000-102-2000-01562 1
 
< 0.1%
Other values (4247) 4247
99.8%
2024-04-18T01:24:58.143666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 38373
41.0%
- 12771
 
13.6%
2 10745
 
11.5%
3 9075
 
9.7%
1 8779
 
9.4%
9 4398
 
4.7%
8 2463
 
2.6%
7 2023
 
2.2%
4 1979
 
2.1%
5 1829
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 80883
86.4%
Dash Punctuation 12771
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 38373
47.4%
2 10745
 
13.3%
3 9075
 
11.2%
1 8779
 
10.9%
9 4398
 
5.4%
8 2463
 
3.0%
7 2023
 
2.5%
4 1979
 
2.4%
5 1829
 
2.3%
6 1219
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 12771
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 93654
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 38373
41.0%
- 12771
 
13.6%
2 10745
 
11.5%
3 9075
 
9.7%
1 8779
 
9.4%
9 4398
 
4.7%
8 2463
 
2.6%
7 2023
 
2.2%
4 1979
 
2.1%
5 1829
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 93654
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 38373
41.0%
- 12771
 
13.6%
2 10745
 
11.5%
3 9075
 
9.7%
1 8779
 
9.4%
9 4398
 
4.7%
8 2463
 
2.6%
7 2023
 
2.2%
4 1979
 
2.1%
5 1829
 
2.0%

인허가일자
Real number (ℝ)

Distinct2997
Distinct (%)70.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19996485
Minimum19640915
Maximum20201209
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size37.5 KiB
2024-04-18T01:24:58.458230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19640915
5-th percentile19801205
Q119900918
median20011222
Q320070319
95-th percentile20151201
Maximum20201209
Range560294
Interquartile range (IQR)169401

Descriptive statistics

Standard deviation107978.22
Coefficient of variation (CV)0.00539986
Kurtosis-0.14598895
Mean19996485
Median Absolute Deviation (MAD)59803
Skewness-0.61261795
Sum8.5125035 × 1010
Variance1.1659296 × 1010
MonotonicityNot monotonic
2024-04-18T01:24:58.559544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20010126 7
 
0.2%
19991230 7
 
0.2%
19991001 6
 
0.1%
20021227 6
 
0.1%
19991105 6
 
0.1%
20010627 6
 
0.1%
20001226 6
 
0.1%
20000628 6
 
0.1%
20021015 6
 
0.1%
20040311 6
 
0.1%
Other values (2987) 4195
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 (%)
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%
20201012 1
< 0.1%
20201005 1
< 0.1%
20200925 1
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4257
Missing (%)100.0%
Memory size37.5 KiB

영업상태구분코드
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.4 KiB
1
2456 
3
1801 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 2456
57.7%
3 1801
42.3%

Length

2024-04-18T01:24:58.653243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:24:58.726068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 2456
57.7%
3 1801
42.3%

영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.4 KiB
영업/정상
2456 
폐업
1801 

Length

Max length5
Median length5
Mean length3.7307963
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 2456
57.7%
폐업 1801
42.3%

Length

2024-04-18T01:24:58.806801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:24:58.885819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 2456
57.7%
폐업 1801
42.3%

상세영업상태코드
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.4 KiB
1
2456 
2
1801 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 2456
57.7%
2 1801
42.3%

Length

2024-04-18T01:24:58.960470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:24:59.042418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 2456
57.7%
2 1801
42.3%

상세영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.4 KiB
영업
2456 
폐업
1801 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 2456
57.7%
폐업 1801
42.3%

Length

2024-04-18T01:24:59.119434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:24:59.190419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 2456
57.7%
폐업 1801
42.3%

폐업일자
Real number (ℝ)

MISSING 

Distinct1352
Distinct (%)75.1%
Missing2456
Missing (%)57.7%
Infinite0
Infinite (%)0.0%
Mean20099826
Minimum19910104
Maximum20201228
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size37.5 KiB
2024-04-18T01:24:59.277375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19910104
5-th percentile20000322
Q120050228
median20101115
Q320150706
95-th percentile20191126
Maximum20201228
Range291124
Interquartile range (IQR)100478

Descriptive statistics

Standard deviation63536.004
Coefficient of variation (CV)0.0031610226
Kurtosis-0.92831884
Mean20099826
Median Absolute Deviation (MAD)50508
Skewness-0.21112112
Sum3.6199786 × 1010
Variance4.0368238 × 109
MonotonicityNot monotonic
2024-04-18T01:24:59.384931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20140509 15
 
0.4%
20040324 14
 
0.3%
20050530 8
 
0.2%
20140610 8
 
0.2%
20140602 7
 
0.2%
20090713 7
 
0.2%
20140722 6
 
0.1%
20140812 5
 
0.1%
20200529 5
 
0.1%
20140507 5
 
0.1%
Other values (1342) 1721
40.4%
(Missing) 2456
57.7%
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 (%)
20201228 1
 
< 0.1%
20201216 1
 
< 0.1%
20201215 1
 
< 0.1%
20201202 3
0.1%
20201130 1
 
< 0.1%
20201124 1
 
< 0.1%
20201123 1
 
< 0.1%
20201030 1
 
< 0.1%
20201019 1
 
< 0.1%
20201015 2
< 0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4257
Missing (%)100.0%
Memory size37.5 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4257
Missing (%)100.0%
Memory size37.5 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4257
Missing (%)100.0%
Memory size37.5 KiB

소재지전화
Text

MISSING 

Distinct3024
Distinct (%)88.4%
Missing835
Missing (%)19.6%
Memory size33.4 KiB
2024-04-18T01:24:59.629220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.583285
Min length1

Characters and Unicode

Total characters36216
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

Unique2908 ?
Unique (%)85.0%

Sample

1st row051 242 8001
2nd row051 747 5580
3rd row051 2549990
4th row051 740 5005
5th row070 45439293
ValueCountFrequency (%)
051 3211
43.5%
246 23
 
0.3%
242 17
 
0.2%
231 17
 
0.2%
245 17
 
0.2%
747 15
 
0.2%
244 15
 
0.2%
853 14
 
0.2%
241 14
 
0.2%
412 14
 
0.2%
Other values (3156) 4023
54.5%
2024-04-18T01:24:59.967923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 6021
16.6%
0 5724
15.8%
1 5426
15.0%
3968
11.0%
2 2580
7.1%
3 2337
 
6.5%
8 2315
 
6.4%
6 2274
 
6.3%
4 2236
 
6.2%
7 2093
 
5.8%
Other values (2) 1242
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 32247
89.0%
Space Separator 3968
 
11.0%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 6021
18.7%
0 5724
17.8%
1 5426
16.8%
2 2580
8.0%
3 2337
 
7.2%
8 2315
 
7.2%
6 2274
 
7.1%
4 2236
 
6.9%
7 2093
 
6.5%
9 1241
 
3.8%
Space Separator
ValueCountFrequency (%)
3968
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 36216
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 6021
16.6%
0 5724
15.8%
1 5426
15.0%
3968
11.0%
2 2580
7.1%
3 2337
 
6.5%
8 2315
 
6.4%
6 2274
 
6.3%
4 2236
 
6.2%
7 2093
 
5.8%
Other values (2) 1242
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 36216
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 6021
16.6%
0 5724
15.8%
1 5426
15.0%
3968
11.0%
2 2580
7.1%
3 2337
 
6.5%
8 2315
 
6.4%
6 2274
 
6.3%
4 2236
 
6.2%
7 2093
 
5.8%
Other values (2) 1242
 
3.4%

소재지면적
Text

MISSING 

Distinct3491
Distinct (%)83.4%
Missing69
Missing (%)1.6%
Memory size33.4 KiB
2024-04-18T01:25:00.288028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length5.5534862
Min length3

Characters and Unicode

Total characters23258
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

Unique3002 ?
Unique (%)71.7%

Sample

1st row151.47
2nd row123.62
3rd row297.22
4th row541.56
5th row110.35
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%
99.00 5
 
0.1%
57.10 5
 
0.1%
125.00 5
 
0.1%
97.00 5
 
0.1%
Other values (3481) 4083
97.5%
2024-04-18T01:25:00.700480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 4188
18.0%
1 2662
11.4%
0 2460
10.6%
2 2054
8.8%
9 1840
7.9%
8 1722
7.4%
6 1722
7.4%
3 1703
7.3%
5 1647
 
7.1%
4 1627
 
7.0%
Other values (2) 1633
 
7.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 19019
81.8%
Other Punctuation 4239
 
18.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2662
14.0%
0 2460
12.9%
2 2054
10.8%
9 1840
9.7%
8 1722
9.1%
6 1722
9.1%
3 1703
9.0%
5 1647
8.7%
4 1627
8.6%
7 1582
8.3%
Other Punctuation
ValueCountFrequency (%)
. 4188
98.8%
, 51
 
1.2%

Most occurring scripts

ValueCountFrequency (%)
Common 23258
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 4188
18.0%
1 2662
11.4%
0 2460
10.6%
2 2054
8.8%
9 1840
7.9%
8 1722
7.4%
6 1722
7.4%
3 1703
7.3%
5 1647
 
7.1%
4 1627
 
7.0%
Other values (2) 1633
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23258
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 4188
18.0%
1 2662
11.4%
0 2460
10.6%
2 2054
8.8%
9 1840
7.9%
8 1722
7.4%
6 1722
7.4%
3 1703
7.3%
5 1647
 
7.1%
4 1627
 
7.0%
Other values (2) 1633
 
7.0%

소재지우편번호
Real number (ℝ)

Distinct268
Distinct (%)6.3%
Missing30
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean609980.56
Minimum600011
Maximum619951
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size37.5 KiB
2024-04-18T01:25:00.817127image/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 deviation5585.4567
Coefficient of variation (CV)0.0091567782
Kurtosis-1.1317357
Mean609980.56
Median Absolute Deviation (MAD)3990
Skewness-0.30006969
Sum2.5783878 × 109
Variance31197327
MonotonicityNot monotonic
2024-04-18T01:25:00.933606image/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 108
 
2.5%
614850 103
 
2.4%
617806 102
 
2.4%
611820 89
 
2.1%
611831 78
 
1.8%
Other values (258) 2967
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 7
 
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

Distinct3263
Distinct (%)76.7%
Missing0
Missing (%)0.0%
Memory size33.4 KiB
2024-04-18T01:25:01.192071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length79
Median length53
Mean length23.345783
Min length17

Characters and Unicode

Total characters99383
Distinct characters270
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

Unique2682 ?
Unique (%)63.0%

Sample

1st row부산광역시 서구 충무동1가 12-121번지
2nd row부산광역시 중구 남포동5가 68-3번지
3rd row부산광역시 해운대구 우동 542-5번지 해월프라자
4th row부산광역시 해운대구 중동 1391-66번지 웨이브타운
5th row부산광역시 부산진구 부전동 259-2
ValueCountFrequency (%)
부산광역시 4257
22.7%
부산진구 682
 
3.6%
부전동 570
 
3.0%
동래구 496
 
2.6%
해운대구 419
 
2.2%
온천동 370
 
2.0%
연제구 362
 
1.9%
연산동 362
 
1.9%
중구 360
 
1.9%
사하구 346
 
1.8%
Other values (3185) 10512
56.1%
2024-04-18T01:25:01.578362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14487
 
14.6%
부 5735
 
5.8%
산 5330
 
5.4%
동 5074
 
5.1%
1 4522
 
4.6%
광 4444
 
4.5%
구 4275
 
4.3%
시 4264
 
4.3%
역 4258
 
4.3%
지 4256
 
4.3%
Other values (260) 42738
43.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 58069
58.4%
Decimal Number 21347
 
21.5%
Space Separator 14487
 
14.6%
Dash Punctuation 4217
 
4.2%
Close Punctuation 486
 
0.5%
Open Punctuation 486
 
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 5735
 
9.9%
산 5330
 
9.2%
동 5074
 
8.7%
광 4444
 
7.7%
구 4275
 
7.4%
시 4264
 
7.3%
역 4258
 
7.3%
지 4256
 
7.3%
번 3716
 
6.4%
층 877
 
1.5%
Other values (228) 15840
27.3%
Uppercase Letter
ValueCountFrequency (%)
B 11
26.2%
H 8
19.0%
C 4
 
9.5%
K 3
 
7.1%
M 3
 
7.1%
T 3
 
7.1%
A 2
 
4.8%
E 2
 
4.8%
J 1
 
2.4%
N 1
 
2.4%
Other values (4) 4
 
9.5%
Decimal Number
ValueCountFrequency (%)
1 4522
21.2%
2 3541
16.6%
5 2301
10.8%
3 2255
10.6%
4 2138
10.0%
6 1622
 
7.6%
0 1482
 
6.9%
7 1446
 
6.8%
8 1100
 
5.2%
9 940
 
4.4%
Other Punctuation
ValueCountFrequency (%)
, 229
92.3%
. 17
 
6.9%
/ 2
 
0.8%
Space Separator
ValueCountFrequency (%)
14487
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4217
100.0%
Close Punctuation
ValueCountFrequency (%)
) 486
100.0%
Open Punctuation
ValueCountFrequency (%)
( 486
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 58068
58.4%
Common 41272
41.5%
Latin 42
 
< 0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 5735
 
9.9%
산 5330
 
9.2%
동 5074
 
8.7%
광 4444
 
7.7%
구 4275
 
7.4%
시 4264
 
7.3%
역 4258
 
7.3%
지 4256
 
7.3%
번 3716
 
6.4%
층 877
 
1.5%
Other values (227) 15839
27.3%
Common
ValueCountFrequency (%)
14487
35.1%
1 4522
 
11.0%
- 4217
 
10.2%
2 3541
 
8.6%
5 2301
 
5.6%
3 2255
 
5.5%
4 2138
 
5.2%
6 1622
 
3.9%
0 1482
 
3.6%
7 1446
 
3.5%
Other values (8) 3261
 
7.9%
Latin
ValueCountFrequency (%)
B 11
26.2%
H 8
19.0%
C 4
 
9.5%
K 3
 
7.1%
M 3
 
7.1%
T 3
 
7.1%
A 2
 
4.8%
E 2
 
4.8%
J 1
 
2.4%
N 1
 
2.4%
Other values (4) 4
 
9.5%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 58068
58.4%
ASCII 41314
41.6%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14487
35.1%
1 4522
 
10.9%
- 4217
 
10.2%
2 3541
 
8.6%
5 2301
 
5.6%
3 2255
 
5.5%
4 2138
 
5.2%
6 1622
 
3.9%
0 1482
 
3.6%
7 1446
 
3.5%
Other values (22) 3303
 
8.0%
Hangul
ValueCountFrequency (%)
부 5735
 
9.9%
산 5330
 
9.2%
동 5074
 
8.7%
광 4444
 
7.7%
구 4275
 
7.4%
시 4264
 
7.3%
역 4258
 
7.3%
지 4256
 
7.3%
번 3716
 
6.4%
층 877
 
1.5%
Other values (227) 15839
27.3%
CJK
ValueCountFrequency (%)
內 1
100.0%

도로명전체주소
Text

MISSING 

Distinct2715
Distinct (%)84.6%
Missing1047
Missing (%)24.6%
Memory size33.4 KiB
2024-04-18T01:25:01.821186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length47
Mean length29.045171
Min length19

Characters and Unicode

Total characters93235
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

Unique2374 ?
Unique (%)74.0%

Sample

1st row부산광역시 서구 자갈치로 6 (충무동1가)
2nd row부산광역시 중구 자갈치로 55-2, 2층 (남포동5가)
3rd row부산광역시 해운대구 구남로 22, 해월프라자 4층 일부호 (우동)
4th row부산광역시 해운대구 구남로 46, 웨이브타운 5층 501호 (중동)
5th row부산광역시 부산진구 새싹로 5, 지하1층 (부전동)
ValueCountFrequency (%)
부산광역시 3210
 
18.2%
부산진구 517
 
2.9%
부전동 327
 
1.9%
동래구 319
 
1.8%
해운대구 311
 
1.8%
지하1층 292
 
1.7%
중구 288
 
1.6%
연제구 283
 
1.6%
사하구 273
 
1.6%
동구 248
 
1.4%
Other values (1765) 11531
65.5%
2024-04-18T01:25:02.203060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14410
 
15.5%
부 4494
 
4.8%
동 4191
 
4.5%
산 4042
 
4.3%
1 3583
 
3.8%
광 3565
 
3.8%
구 3361
 
3.6%
( 3328
 
3.6%
) 3328
 
3.6%
시 3281
 
3.5%
Other values (279) 45652
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 55024
59.0%
Decimal Number 14812
 
15.9%
Space Separator 14410
 
15.5%
Open Punctuation 3328
 
3.6%
Close Punctuation 3328
 
3.6%
Other Punctuation 1571
 
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 4494
 
8.2%
동 4191
 
7.6%
산 4042
 
7.3%
광 3565
 
6.5%
구 3361
 
6.1%
시 3281
 
6.0%
역 3210
 
5.8%
로 3138
 
5.7%
길 1915
 
3.5%
번 1863
 
3.4%
Other values (252) 21964
39.9%
Decimal Number
ValueCountFrequency (%)
1 3583
24.2%
2 2503
16.9%
3 1459
9.9%
4 1378
 
9.3%
5 1140
 
7.7%
0 1113
 
7.5%
6 950
 
6.4%
9 923
 
6.2%
8 918
 
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%
A 2
 
5.3%
M 2
 
5.3%
T 2
 
5.3%
J 1
 
2.6%
Other Punctuation
ValueCountFrequency (%)
, 1565
99.6%
. 6
 
0.4%
Lowercase Letter
ValueCountFrequency (%)
k 7
63.6%
e 4
36.4%
Space Separator
ValueCountFrequency (%)
14410
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3328
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3328
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 712
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 55024
59.0%
Common 38162
40.9%
Latin 49
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 4494
 
8.2%
동 4191
 
7.6%
산 4042
 
7.3%
광 3565
 
6.5%
구 3361
 
6.1%
시 3281
 
6.0%
역 3210
 
5.8%
로 3138
 
5.7%
길 1915
 
3.5%
번 1863
 
3.4%
Other values (252) 21964
39.9%
Common
ValueCountFrequency (%)
14410
37.8%
1 3583
 
9.4%
( 3328
 
8.7%
) 3328
 
8.7%
2 2503
 
6.6%
, 1565
 
4.1%
3 1459
 
3.8%
4 1378
 
3.6%
5 1140
 
3.0%
0 1113
 
2.9%
Other values (7) 4355
 
11.4%
Latin
ValueCountFrequency (%)
K 11
22.4%
B 9
18.4%
H 7
14.3%
k 7
14.3%
C 4
 
8.2%
e 4
 
8.2%
A 2
 
4.1%
M 2
 
4.1%
T 2
 
4.1%
J 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 55024
59.0%
ASCII 38211
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14410
37.7%
1 3583
 
9.4%
( 3328
 
8.7%
) 3328
 
8.7%
2 2503
 
6.6%
, 1565
 
4.1%
3 1459
 
3.8%
4 1378
 
3.6%
5 1140
 
3.0%
0 1113
 
2.9%
Other values (17) 4404
 
11.5%
Hangul
ValueCountFrequency (%)
부 4494
 
8.2%
동 4191
 
7.6%
산 4042
 
7.3%
광 3565
 
6.5%
구 3361
 
6.1%
시 3281
 
6.0%
역 3210
 
5.8%
로 3138
 
5.7%
길 1915
 
3.5%
번 1863
 
3.4%
Other values (252) 21964
39.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct307
Distinct (%)9.9%
Missing1154
Missing (%)27.1%
Infinite0
Infinite (%)0.0%
Mean47950.013
Minimum46015
Maximum49524
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size37.5 KiB
2024-04-18T01:25:02.313975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46015
5-th percentile46501
Q147285
median47813
Q348923
95-th percentile49311.9
Maximum49524
Range3509
Interquartile range (IQR)1638

Descriptive statistics

Standard deviation921.62368
Coefficient of variation (CV)0.01922051
Kurtosis-1.0757774
Mean47950.013
Median Absolute Deviation (MAD)841
Skewness-0.052477764
Sum1.4878889 × 108
Variance849390.2
MonotonicityNot monotonic
2024-04-18T01:25:02.425509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48106 88
 
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%
47524 67
 
1.6%
47709 67
 
1.6%
Other values (297) 2310
54.3%
(Missing) 1154
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

Distinct3329
Distinct (%)78.2%
Missing0
Missing (%)0.0%
Memory size33.4 KiB
2024-04-18T01:25:02.685906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length4.9574818
Min length1

Characters and Unicode

Total characters21104
Distinct characters756
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

Unique2830 ?
Unique (%)66.5%

Sample

1st row월드
2nd row올리브
3rd row탑텐노래타운
4th row락휴 노래타운 해운대비치점
5th row미녀봉실내포장센타
ValueCountFrequency (%)
노래주점 59
 
1.3%
노래방 36
 
0.8%
노래방주점 22
 
0.5%
노래타운 18
 
0.4%
술마시는 17
 
0.4%
파라다이스 14
 
0.3%
주점 13
 
0.3%
준코뮤직타운 12
 
0.3%
유흥주점 11
 
0.2%
토마토 10
 
0.2%
Other values (3309) 4438
95.4%
2024-04-18T01:25:03.077209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 1291
 
6.1%
래 1289
 
6.1%
노 1288
 
6.1%
점 1215
 
5.8%
스 525
 
2.5%
방 436
 
2.1%
이 435
 
2.1%
393
 
1.9%
타 290
 
1.4%
라 262
 
1.2%
Other values (746) 13680
64.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19575
92.8%
Space Separator 393
 
1.9%
Uppercase Letter 354
 
1.7%
Decimal Number 307
 
1.5%
Close Punctuation 137
 
0.6%
Open Punctuation 137
 
0.6%
Lowercase Letter 136
 
0.6%
Other Punctuation 48
 
0.2%
Letter Number 10
 
< 0.1%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1291
 
6.6%
래 1289
 
6.6%
노 1288
 
6.6%
점 1215
 
6.2%
스 525
 
2.7%
방 436
 
2.2%
이 435
 
2.2%
타 290
 
1.5%
라 262
 
1.3%
리 255
 
1.3%
Other values (675) 12289
62.8%
Uppercase Letter
ValueCountFrequency (%)
O 33
 
9.3%
A 26
 
7.3%
M 25
 
7.1%
B 24
 
6.8%
S 22
 
6.2%
I 19
 
5.4%
V 19
 
5.4%
N 19
 
5.4%
K 17
 
4.8%
R 17
 
4.8%
Other values (15) 133
37.6%
Lowercase Letter
ValueCountFrequency (%)
e 19
14.0%
o 16
11.8%
a 16
11.8%
n 14
10.3%
i 12
8.8%
r 10
7.4%
s 10
7.4%
h 5
 
3.7%
m 5
 
3.7%
g 5
 
3.7%
Other values (9) 24
17.6%
Decimal Number
ValueCountFrequency (%)
2 66
21.5%
0 59
19.2%
1 44
14.3%
7 35
11.4%
8 32
10.4%
3 19
 
6.2%
4 16
 
5.2%
6 13
 
4.2%
9 12
 
3.9%
5 10
 
3.3%
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 (%)
Ⅰ 5
50.0%
Ⅱ 5
50.0%
Space Separator
ValueCountFrequency (%)
393
100.0%
Close Punctuation
ValueCountFrequency (%)
) 137
100.0%
Open Punctuation
ValueCountFrequency (%)
( 137
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Math Symbol
ValueCountFrequency (%)
∥ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19571
92.7%
Common 1029
 
4.9%
Latin 500
 
2.4%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1291
 
6.6%
래 1289
 
6.6%
노 1288
 
6.6%
점 1215
 
6.2%
스 525
 
2.7%
방 436
 
2.2%
이 435
 
2.2%
타 290
 
1.5%
라 262
 
1.3%
리 255
 
1.3%
Other values (671) 12285
62.8%
Latin
ValueCountFrequency (%)
O 33
 
6.6%
A 26
 
5.2%
M 25
 
5.0%
B 24
 
4.8%
S 22
 
4.4%
e 19
 
3.8%
I 19
 
3.8%
V 19
 
3.8%
N 19
 
3.8%
K 17
 
3.4%
Other values (36) 277
55.4%
Common
ValueCountFrequency (%)
393
38.2%
) 137
 
13.3%
( 137
 
13.3%
2 66
 
6.4%
0 59
 
5.7%
1 44
 
4.3%
7 35
 
3.4%
8 32
 
3.1%
. 32
 
3.1%
3 19
 
1.8%
Other values (15) 75
 
7.3%
Han
ValueCountFrequency (%)
高 1
25.0%
女 1
25.0%
福 1
25.0%
元 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19571
92.7%
ASCII 1514
 
7.2%
Number Forms 10
 
< 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 1291
 
6.6%
래 1289
 
6.6%
노 1288
 
6.6%
점 1215
 
6.2%
스 525
 
2.7%
방 436
 
2.2%
이 435
 
2.2%
타 290
 
1.5%
라 262
 
1.3%
리 255
 
1.3%
Other values (671) 12285
62.8%
ASCII
ValueCountFrequency (%)
393
26.0%
) 137
 
9.0%
( 137
 
9.0%
2 66
 
4.4%
0 59
 
3.9%
1 44
 
2.9%
7 35
 
2.3%
O 33
 
2.2%
8 32
 
2.1%
. 32
 
2.1%
Other values (56) 546
36.1%
Number Forms
ValueCountFrequency (%)
Ⅰ 5
50.0%
Ⅱ 5
50.0%
Math Operators
ValueCountFrequency (%)
∥ 3
100.0%
CJK
ValueCountFrequency (%)
高 1
33.3%
福 1
33.3%
元 1
33.3%
None
ValueCountFrequency (%)
２ 1
50.0%
· 1
50.0%
CJK Compat Ideographs
ValueCountFrequency (%)
女 1
100.0%

최종수정시점
Real number (ℝ)

Distinct3913
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0143094 × 1013
Minimum1.9990302 × 1013
Maximum2.0201231 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size37.5 KiB
2024-04-18T01:25:03.195563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.9990302 × 1013
5-th percentile2.0020611 × 1013
Q12.0110128 × 1013
median2.0171123 × 1013
Q32.0191015 × 1013
95-th percentile2.0201016 × 1013
Maximum2.0201231 × 1013
Range2.1092916 × 1011
Interquartile range (IQR)8.0887042 × 1010

Descriptive statistics

Standard deviation6.24219 × 1010
Coefficient of variation (CV)0.0030989231
Kurtosis-0.54664876
Mean2.0143094 × 1013
Median Absolute Deviation (MAD)2.9603994 × 1010
Skewness-0.93641204
Sum8.5749151 × 1016
Variance3.8964936 × 1021
MonotonicityNot monotonic
2024-04-18T01:25:03.296739image/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%
20020611000000 12
 
0.3%
20011205000000 12
 
0.3%
20020225000000 11
 
0.3%
20050617000000 11
 
0.3%
Other values (3903) 4106
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 (%)
20201231155141 1
< 0.1%
20201231140313 1
< 0.1%
20201230141842 1
< 0.1%
20201230140916 1
< 0.1%
20201229145503 1
< 0.1%
20201229132649 1
< 0.1%
20201229115050 1
< 0.1%
20201228180854 1
< 0.1%
20201228135134 1
< 0.1%
20201228134200 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.4 KiB
I
2714 
U
1543 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 2714
63.8%
U 1543
36.2%

Length

2024-04-18T01:25:03.387201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:25:03.461087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2714
63.8%
u 1543
36.2%

데이터갱신일자
Date

Distinct515
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Memory size33.4 KiB
Minimum2018-08-31 23:59:59
Maximum2021-01-02 02:40:00
2024-04-18T01:25:03.542938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:25:03.647505image/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
951 
기타
750 
카바레
411 
스텐드바
227 
Other values (10)
470 

Length

Max length12
Median length9
Mean length3.5320648
Min length2

Unique

Unique3 ?
Unique (%)0.1%

Sample

1st row룸살롱
2nd row노래클럽
3rd row룸살롱
4th row기타
5th row기타

Common Values

ValueCountFrequency (%)
간이주점 1448
34.0%
룸살롱 951
22.3%
기타 750
17.6%
카바레 411
 
9.7%
스텐드바 227
 
5.3%
비어(바)살롱 169
 
4.0%
요정 136
 
3.2%
노래클럽 58
 
1.4%
고고(디스코)클럽 49
 
1.2%
관광호텔나이트(디스코) 25
 
0.6%
Other values (5) 33
 
0.8%

Length

2024-04-18T01:25:03.746223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
간이주점 1448
34.0%
룸살롱 951
22.3%
기타 751
17.6%
카바레 411
 
9.7%
스텐드바 227
 
5.3%
비어(바)살롱 169
 
4.0%
요정 136
 
3.2%
노래클럽 58
 
1.4%
고고(디스코)클럽 49
 
1.2%
관광호텔나이트(디스코 25
 
0.6%
Other values (5) 33
 
0.8%

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct2320
Distinct (%)55.9%
Missing109
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean387579.59
Minimum366797.99
Maximum407297.56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size37.5 KiB
2024-04-18T01:25:03.837674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum366797.99
5-th percentile379288.96
Q1384628.1
median387460.64
Q3389657.89
95-th percentile397644.26
Maximum407297.56
Range40499.567
Interquartile range (IQR)5029.7881

Descriptive statistics

Standard deviation5184.921
Coefficient of variation (CV)0.013377694
Kurtosis0.38800767
Mean387579.59
Median Absolute Deviation (MAD)2357.7041
Skewness0.31978127
Sum1.6076801 × 109
Variance26883406
MonotonicityNot monotonic
2024-04-18T01:25:04.184095image/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%
389769.596168536 14
 
0.3%
389766.920425517 14
 
0.3%
389425.128229908 12
 
0.3%
389687.358019058 12
 
0.3%
391647.224112311 11
 
0.3%
387480.788335254 10
 
0.2%
389733.741076297 10
 
0.2%
Other values (2310) 4012
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 

Distinct2320
Distinct (%)55.9%
Missing109
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean186283.7
Minimum174765.31
Maximum207205.17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size37.5 KiB
2024-04-18T01:25:04.298944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174765.31
5-th percentile178960.94
Q1181615.39
median186506.7
Q3189563.83
95-th percentile193246
Maximum207205.17
Range32439.862
Interquartile range (IQR)7948.4399

Descriptive statistics

Standard deviation4976.3915
Coefficient of variation (CV)0.026714048
Kurtosis0.12142568
Mean186283.7
Median Absolute Deviation (MAD)3387.3341
Skewness0.26657661
Sum7.7270477 × 108
Variance24764473
MonotonicityNot monotonic
2024-04-18T01:25:04.403633image/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%
189597.688249197 14
 
0.3%
189563.825436941 14
 
0.3%
189489.77872283 12
 
0.3%
189515.633942149 12
 
0.3%
192549.490988738 11
 
0.3%
185589.971609289 10
 
0.2%
189562.565345852 10
 
0.2%
Other values (2310) 4012
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
951 
기타
749 
카바레
411 
스텐드바
227 
Other values (10)
471 

Length

Max length12
Median length9
Mean length3.5325346
Min length2

Unique

Unique3 ?
Unique (%)0.1%

Sample

1st row룸살롱
2nd row노래클럽
3rd row룸살롱
4th row기타
5th row기타

Common Values

ValueCountFrequency (%)
간이주점 1448
34.0%
룸살롱 951
22.3%
기타 749
17.6%
카바레 411
 
9.7%
스텐드바 227
 
5.3%
비어(바)살롱 169
 
4.0%
요정 136
 
3.2%
노래클럽 58
 
1.4%
고고(디스코)클럽 49
 
1.2%
관광호텔나이트(디스코) 25
 
0.6%
Other values (5) 34
 
0.8%

Length

2024-04-18T01:25:04.510050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
간이주점 1448
34.0%
룸살롱 951
22.3%
기타 750
17.6%
카바레 411
 
9.7%
스텐드바 227
 
5.3%
비어(바)살롱 169
 
4.0%
요정 136
 
3.2%
노래클럽 58
 
1.4%
고고(디스코)클럽 49
 
1.2%
관광호텔나이트(디스코 25
 
0.6%
Other values (5) 34
 
0.8%

남성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)0.4%
Missing1791
Missing (%)42.1%
Infinite0
Infinite (%)0.0%
Mean0.10786699
Minimum0
Maximum21
Zeros2311
Zeros (%)54.3%
Negative0
Negative (%)0.0%
Memory size37.5 KiB
2024-04-18T01:25:04.589649image/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
2024-04-18T01:25:04.663427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 2311
54.3%
1 103
 
2.4%
2 36
 
0.8%
3 8
 
0.2%
5 3
 
0.1%
4 2
 
< 0.1%
13 1
 
< 0.1%
10 1
 
< 0.1%
21 1
 
< 0.1%
(Missing) 1791
42.1%
ValueCountFrequency (%)
0 2311
54.3%
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
54.3%

여성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)0.5%
Missing1792
Missing (%)42.1%
Infinite0
Infinite (%)0.0%
Mean0.19959432
Minimum0
Maximum33
Zeros2311
Zeros (%)54.3%
Negative0
Negative (%)0.0%
Memory size37.5 KiB
2024-04-18T01:25:04.741053image/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
2024-04-18T01:25:04.826930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 2311
54.3%
1 49
 
1.2%
2 41
 
1.0%
3 32
 
0.8%
5 13
 
0.3%
10 7
 
0.2%
4 4
 
0.1%
8 2
 
< 0.1%
6 2
 
< 0.1%
18 1
 
< 0.1%
Other values (3) 3
 
0.1%
(Missing) 1792
42.1%
ValueCountFrequency (%)
0 2311
54.3%
1 49
 
1.2%
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
1479 
<NA>
1460 
유흥업소밀집지역
1118 
학교정화(상대)
155 
주택가주변
 
23
Other values (3)
 
22

Length

Max length8
Median length7
Mean length4.5226685
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타 1479
34.7%
<NA> 1460
34.3%
유흥업소밀집지역 1118
26.3%
학교정화(상대) 155
 
3.6%
주택가주변 23
 
0.5%
학교정화(절대) 12
 
0.3%
아파트지역 5
 
0.1%
결혼예식장주변 5
 
0.1%

Length

2024-04-18T01:25:04.930964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:25:05.022759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 1479
34.7%
na 1460
34.3%
유흥업소밀집지역 1118
26.3%
학교정화(상대 155
 
3.6%
주택가주변 23
 
0.5%
학교정화(절대 12
 
0.3%
아파트지역 5
 
0.1%
결혼예식장주변 5
 
0.1%

등급구분명
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size33.4 KiB
<NA>
2435 
기타
1465 
자율
302 
우수
 
45
지도
 
8
Other values (2)
 
2

Length

Max length4
Median length4
Mean length3.1437632
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> 2435
57.2%
기타 1465
34.4%
자율 302
 
7.1%
우수 45
 
1.1%
지도 8
 
0.2%
관리 1
 
< 0.1%
갑 1
 
< 0.1%

Length

2024-04-18T01:25:05.138189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:25:05.230425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2435
57.2%
기타 1465
34.4%
자율 302
 
7.1%
우수 45
 
1.1%
지도 8
 
0.2%
관리 1
 
< 0.1%
갑 1
 
< 0.1%

급수시설구분명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size33.4 KiB
<NA>
2290 
상수도전용
1960 
지하수전용
 
4
간이상수도
 
3

Length

Max length5
Median length4
Mean length4.4620625
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2290
53.8%
상수도전용 1960
46.0%
지하수전용 4
 
0.1%
간이상수도 3
 
0.1%

Length

2024-04-18T01:25:05.331629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:25:05.413389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2290
53.8%
상수도전용 1960
46.0%
지하수전용 4
 
0.1%
간이상수도 3
 
0.1%

총종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4257
Missing (%)100.0%
Memory size37.5 KiB

본사종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4257
Missing (%)100.0%
Memory size37.5 KiB

공장사무직종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4257
Missing (%)100.0%
Memory size37.5 KiB

공장판매직종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4257
Missing (%)100.0%
Memory size37.5 KiB

공장생산직종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4257
Missing (%)100.0%
Memory size37.5 KiB

건물소유구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4257
Missing (%)100.0%
Memory size37.5 KiB

보증액
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4257
Missing (%)100.0%
Memory size37.5 KiB

월세액
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4257
Missing (%)100.0%
Memory size37.5 KiB

다중이용업소여부
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
False
2709 
True
1548 
ValueCountFrequency (%)
False 2709
63.6%
True 1548
36.4%
2024-04-18T01:25:05.489425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

ZEROS 

Distinct3491
Distinct (%)82.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean182.01116
Minimum0
Maximum7101.75
Zeros114
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size37.5 KiB
2024-04-18T01:25:05.572073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile32.236
Q180.59
median111.4
Q3199.42
95-th percentile533.976
Maximum7101.75
Range7101.75
Interquartile range (IQR)118.83

Descriptive statistics

Standard deviation262.04417
Coefficient of variation (CV)1.4397149
Kurtosis183.9469
Mean182.01116
Median Absolute Deviation (MAD)44.12
Skewness10.149297
Sum774821.5
Variance68667.148
MonotonicityNot monotonic
2024-04-18T01:25:05.678978image/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%
90.0 7
 
0.2%
80.0 7
 
0.2%
60.0 6
 
0.1%
97.0 5
 
0.1%
125.0 5
 
0.1%
530.36 5
 
0.1%
27.0 5
 
0.1%
Other values (3481) 4084
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%
Missing4255
Missing (%)> 99.9%
Memory size33.4 KiB
2024-04-18T01:25:05.745976image/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-----
2nd row.8
ValueCountFrequency (%)
1
50.0%
8 1
50.0%
2024-04-18T01:25:05.901105image/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 

Missing4257
Missing (%)100.0%
Memory size37.5 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4257
Missing (%)100.0%
Memory size37.5 KiB

Unnamed: 47
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4257
Missing (%)100.0%
Memory size37.5 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지Unnamed: 47
01유흥주점영업07_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>
12유흥주점영업07_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>
23유흥주점영업07_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>
34유흥주점영업07_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>
45유흥주점영업07_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>
56유흥주점영업07_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>
67유흥주점영업07_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>
78유흥주점영업07_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>
89유흥주점영업07_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>
910유흥주점영업07_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>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지Unnamed: 47
42474248유흥주점영업07_23_02_P33700003370000-102-2002-0376520020730<NA>3폐업2폐업20190702<NA><NA><NA>051 8678533111.26611080부산광역시 연제구 연산동 726-13번지 ,14부산광역시 연제구 중앙대로 1116-8 (연산동,,14)47520벤츠노래주점20190702141347U2019-07-04 02:40:00.0룸살롱389579.973724189533.227283룸살롱00유흥업소밀집지역<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>Y111.26<NA><NA><NA><NA>
42484249유흥주점영업07_23_02_P33300003330000-102-2006-0000120060322<NA>3폐업2폐업20100525<NA><NA><NA><NA>249.00612821부산광역시 해운대구 우동 651-2번지 (지하1층)<NA><NA>골든블루룸20100202143533I2018-08-31 23:59:59.0기타396311.47837186563.963574기타<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N249.0<NA><NA><NA><NA>
42494250유흥주점영업07_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>
42504251유흥주점영업07_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>
42514252유흥주점영업07_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>
42524253유흥주점영업07_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>
42534254유흥주점영업07_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>
42544255유흥주점영업07_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>
42554256유흥주점영업07_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>
42564257유흥주점영업07_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>