Overview

Dataset statistics

Number of variables37
Number of observations453
Missing cells6153
Missing cells (%)36.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory142.1 KiB
Average record size in memory321.3 B

Variable types

Numeric9
Categorical11
Unsupported11
Text5
DateTime1

Dataset

Description2021-03-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123162

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
업무구분 has constant value ""Constant
업무구분명 has constant value ""Constant
휴업시작일자 is highly imbalanced (97.1%)Imbalance
휴업종료일자 is highly imbalanced (97.1%)Imbalance
인허가취소일자 has 453 (100.0%) missing valuesMissing
폐업일자 has 332 (73.3%) missing valuesMissing
재개업일자 has 453 (100.0%) missing valuesMissing
소재지전화 has 89 (19.6%) missing valuesMissing
소재지면적 has 453 (100.0%) missing valuesMissing
소재지우편번호 has 453 (100.0%) missing valuesMissing
소재지전체주소 has 24 (5.3%) missing valuesMissing
도로명전체주소 has 66 (14.6%) missing valuesMissing
도로명우편번호 has 370 (81.7%) missing valuesMissing
업태구분명 has 453 (100.0%) missing valuesMissing
좌표정보(x) has 11 (2.4%) missing valuesMissing
좌표정보(y) has 11 (2.4%) missing valuesMissing
건축물명 has 453 (100.0%) missing valuesMissing
건축물연면적 has 453 (100.0%) missing valuesMissing
건축물상태명 has 453 (100.0%) missing valuesMissing
청소대상시작일자 has 453 (100.0%) missing valuesMissing
청소대상종료일자 has 453 (100.0%) missing valuesMissing
휴업폐지사유 has 267 (58.9%) missing valuesMissing
Unnamed: 36 has 453 (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
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건축물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건축물연면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건축물상태명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소대상시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소대상종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 36 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-17 04:31:04.836408
Analysis finished2024-04-17 04:31:05.401827
Duration0.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct453
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean227
Minimum1
Maximum453
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-04-17T13:31:05.460016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile23.6
Q1114
median227
Q3340
95-th percentile430.4
Maximum453
Range452
Interquartile range (IQR)226

Descriptive statistics

Standard deviation130.91409
Coefficient of variation (CV)0.57671407
Kurtosis-1.2
Mean227
Median Absolute Deviation (MAD)113
Skewness0
Sum102831
Variance17138.5
MonotonicityStrictly increasing
2024-04-17T13:31:05.560085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
285 1
 
0.2%
311 1
 
0.2%
310 1
 
0.2%
309 1
 
0.2%
308 1
 
0.2%
307 1
 
0.2%
306 1
 
0.2%
305 1
 
0.2%
304 1
 
0.2%
Other values (443) 443
97.8%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
453 1
0.2%
452 1
0.2%
451 1
0.2%
450 1
0.2%
449 1
0.2%
448 1
0.2%
447 1
0.2%
446 1
0.2%
445 1
0.2%
444 1
0.2%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
저수조청소업
453 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
저수조청소업 453
100.0%

Length

2024-04-17T13:31:05.652639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:31:05.720956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
저수조청소업 453
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
09_30_14_P
453 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row09_30_14_P
2nd row09_30_14_P
3rd row09_30_14_P
4th row09_30_14_P
5th row09_30_14_P

Common Values

ValueCountFrequency (%)
09_30_14_P 453
100.0%

Length

2024-04-17T13:31:05.788563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:31:05.854420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_30_14_p 453
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3326048.6
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-04-17T13:31:05.922844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3270000
Q13290000
median3320000
Q33360000
95-th percentile3390000
Maximum3400000
Range150000
Interquartile range (IQR)70000

Descriptive statistics

Standard deviation40056.015
Coefficient of variation (CV)0.012043124
Kurtosis-1.0692536
Mean3326048.6
Median Absolute Deviation (MAD)30000
Skewness0.13664634
Sum1.5067 × 109
Variance1.6044844 × 109
MonotonicityNot monotonic
2024-04-17T13:31:06.010363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3290000 77
17.0%
3300000 50
11.0%
3370000 45
9.9%
3350000 38
8.4%
3340000 36
7.9%
3310000 32
7.1%
3270000 28
 
6.2%
3320000 28
 
6.2%
3390000 27
 
6.0%
3380000 26
 
5.7%
Other values (6) 66
14.6%
ValueCountFrequency (%)
3250000 11
 
2.4%
3260000 9
 
2.0%
3270000 28
 
6.2%
3280000 3
 
0.7%
3290000 77
17.0%
3300000 50
11.0%
3310000 32
7.1%
3320000 28
 
6.2%
3330000 20
 
4.4%
3340000 36
7.9%
ValueCountFrequency (%)
3400000 13
 
2.9%
3390000 27
6.0%
3380000 26
5.7%
3370000 45
9.9%
3360000 10
 
2.2%
3350000 38
8.4%
3340000 36
7.9%
3330000 20
4.4%
3320000 28
6.2%
3310000 32
7.1%

관리번호
Real number (ℝ)

UNIQUE 

Distinct453
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3260489 × 1017
Minimum3.2500003 × 1017
Maximum3.4000003 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-04-17T13:31:06.139953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.2500003 × 1017
5-th percentile3.2700003 × 1017
Q13.2900003 × 1017
median3.3200003 × 1017
Q33.3600003 × 1017
95-th percentile3.3900003 × 1017
Maximum3.4000003 × 1017
Range1.5 × 1016
Interquartile range (IQR)7 × 1015

Descriptive statistics

Standard deviation4.0056015 × 1015
Coefficient of variation (CV)0.012043123
Kurtosis-1.0692536
Mean3.3260489 × 1017
Median Absolute Deviation (MAD)3 × 1015
Skewness0.13664634
Sum3.0960615 × 1018
Variance1.6044844 × 1031
MonotonicityNot monotonic
2024-04-17T13:31:06.256376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
337000031200400003 1
 
0.2%
329000031201100002 1
 
0.2%
331000031201300002 1
 
0.2%
331000031200600002 1
 
0.2%
331000031201800002 1
 
0.2%
331000031201800001 1
 
0.2%
331000031201600002 1
 
0.2%
331000031201100001 1
 
0.2%
331000031200700002 1
 
0.2%
331000031200300007 1
 
0.2%
Other values (443) 443
97.8%
ValueCountFrequency (%)
325000031199700001 1
0.2%
325000031199700002 1
0.2%
325000031200500001 1
0.2%
325000031200600001 1
0.2%
325000031200600002 1
0.2%
325000031200700001 1
0.2%
325000031200900001 1
0.2%
325000031201100001 1
0.2%
325000031201400001 1
0.2%
325000031201600001 1
0.2%
ValueCountFrequency (%)
340000031202000001 1
0.2%
340000031201900002 1
0.2%
340000031201900001 1
0.2%
340000031201700001 1
0.2%
340000031201600002 1
0.2%
340000031201600001 1
0.2%
340000031201200001 1
0.2%
340000031201100001 1
0.2%
340000031200900001 1
0.2%
340000031200800002 1
0.2%

인허가일자
Real number (ℝ)

Distinct391
Distinct (%)86.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20114549
Minimum19941029
Maximum20210125
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-04-17T13:31:06.376183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19941029
5-th percentile20036558
Q120071227
median20110930
Q320160422
95-th percentile20200324
Maximum20210125
Range269096
Interquartile range (IQR)89195

Descriptive statistics

Standard deviation54241.257
Coefficient of variation (CV)0.0026966182
Kurtosis0.1491586
Mean20114549
Median Absolute Deviation (MAD)39716
Skewness-0.36571637
Sum9.1118906 × 109
Variance2.942114 × 109
MonotonicityNot monotonic
2024-04-17T13:31:06.498908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20090128 5
 
1.1%
20080107 4
 
0.9%
20071227 4
 
0.9%
20071126 4
 
0.9%
20120118 4
 
0.9%
20071228 4
 
0.9%
20071224 3
 
0.7%
20071130 3
 
0.7%
20071231 3
 
0.7%
20071226 3
 
0.7%
Other values (381) 416
91.8%
ValueCountFrequency (%)
19941029 2
0.4%
19941223 1
0.2%
19950514 1
0.2%
19950529 1
0.2%
19950804 1
0.2%
19970322 2
0.4%
19980813 1
0.2%
19980901 1
0.2%
19981128 1
0.2%
19990113 1
0.2%
ValueCountFrequency (%)
20210125 2
0.4%
20210105 1
0.2%
20201230 1
0.2%
20201203 2
0.4%
20201123 1
0.2%
20201109 1
0.2%
20201105 1
0.2%
20200902 1
0.2%
20200818 1
0.2%
20200721 1
0.2%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing453
Missing (%)100.0%
Memory size4.1 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
1
261 
3
188 
4
 
2
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 261
57.6%
3 188
41.5%
4 2
 
0.4%
2 2
 
0.4%

Length

2024-04-17T13:31:06.610759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:31:06.680726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 261
57.6%
3 188
41.5%
4 2
 
0.4%
2 2
 
0.4%

영업상태명
Categorical

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
영업/정상
261 
폐업
188 
취소/말소/만료/정지/중지
 
2
휴업
 
2

Length

Max length14
Median length5
Mean length3.781457
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 261
57.6%
폐업 188
41.5%
취소/말소/만료/정지/중지 2
 
0.4%
휴업 2
 
0.4%

Length

2024-04-17T13:31:06.776930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:31:06.854571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 261
57.6%
폐업 188
41.5%
취소/말소/만료/정지/중지 2
 
0.4%
휴업 2
 
0.4%

상세영업상태코드
Categorical

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
11
261 
2
188 
4
 
2
1
 
2

Length

Max length2
Median length2
Mean length1.5761589
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
11 261
57.6%
2 188
41.5%
4 2
 
0.4%
1 2
 
0.4%

Length

2024-04-17T13:31:06.953473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:31:07.044633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11 261
57.6%
2 188
41.5%
4 2
 
0.4%
1 2
 
0.4%

상세영업상태명
Categorical

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
정상
261 
폐업
188 
폐쇄
 
2
휴업
 
2

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 261
57.6%
폐업 188
41.5%
폐쇄 2
 
0.4%
휴업 2
 
0.4%

Length

2024-04-17T13:31:07.122460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:31:07.195025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 261
57.6%
폐업 188
41.5%
폐쇄 2
 
0.4%
휴업 2
 
0.4%

폐업일자
Real number (ℝ)

MISSING 

Distinct112
Distinct (%)92.6%
Missing332
Missing (%)73.3%
Infinite0
Infinite (%)0.0%
Mean20140809
Minimum20030414
Maximum20201211
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-04-17T13:31:07.283086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20030414
5-th percentile20080926
Q120110119
median20140507
Q320180712
95-th percentile20200113
Maximum20201211
Range170797
Interquartile range (IQR)70593

Descriptive statistics

Standard deviation40666.847
Coefficient of variation (CV)0.0020191268
Kurtosis-1.0500892
Mean20140809
Median Absolute Deviation (MAD)39306
Skewness-0.16197226
Sum2.4370379 × 109
Variance1.6537925 × 109
MonotonicityNot monotonic
2024-04-17T13:31:07.395705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20080926 5
 
1.1%
20190123 3
 
0.7%
20110621 2
 
0.4%
20201109 2
 
0.4%
20080910 2
 
0.4%
20160113 1
 
0.2%
20190121 1
 
0.2%
20190201 1
 
0.2%
20110829 1
 
0.2%
20190601 1
 
0.2%
Other values (102) 102
 
22.5%
(Missing) 332
73.3%
ValueCountFrequency (%)
20030414 1
 
0.2%
20060112 1
 
0.2%
20080910 2
 
0.4%
20080918 1
 
0.2%
20080926 5
1.1%
20081204 1
 
0.2%
20081209 1
 
0.2%
20090202 1
 
0.2%
20090325 1
 
0.2%
20090508 1
 
0.2%
ValueCountFrequency (%)
20201211 1
0.2%
20201109 2
0.4%
20200831 1
0.2%
20200811 1
0.2%
20200520 1
0.2%
20200113 1
0.2%
20191022 1
0.2%
20191017 1
0.2%
20191010 1
0.2%
20190829 1
0.2%

휴업시작일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
<NA>
451 
20201201
 
1
20130801
 
1

Length

Max length8
Median length4
Mean length4.01766
Min length4

Unique

Unique2 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 451
99.6%
20201201 1
 
0.2%
20130801 1
 
0.2%

Length

2024-04-17T13:31:07.508195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:31:07.596271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 451
99.6%
20201201 1
 
0.2%
20130801 1
 
0.2%

휴업종료일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
<NA>
451 
20211130
 
1
20161231
 
1

Length

Max length8
Median length4
Mean length4.01766
Min length4

Unique

Unique2 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 451
99.6%
20211130 1
 
0.2%
20161231 1
 
0.2%

Length

2024-04-17T13:31:07.677124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:31:08.007368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 451
99.6%
20211130 1
 
0.2%
20161231 1
 
0.2%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing453
Missing (%)100.0%
Memory size4.1 KiB

소재지전화
Text

MISSING 

Distinct347
Distinct (%)95.3%
Missing89
Missing (%)19.6%
Memory size3.7 KiB
2024-04-17T13:31:08.210390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length10.664835
Min length6

Characters and Unicode

Total characters3882
Distinct characters15
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique332 ?
Unique (%)91.2%

Sample

1st row851-9782
2nd row051-465-9428
3rd row469-1191
4th row291-8240
5th row051-441-0240
ValueCountFrequency (%)
531-4680 3
 
0.8%
051-643-6119 3
 
0.8%
051-465-4036 2
 
0.5%
554-5775 2
 
0.5%
051-529-3775 2
 
0.5%
051-316-4161~2 2
 
0.5%
051-507-6071 2
 
0.5%
806-7844 2
 
0.5%
051-265-2022 2
 
0.5%
622-7788 2
 
0.5%
Other values (337) 342
94.0%
2024-04-17T13:31:08.554008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 538
13.9%
0 530
13.7%
5 525
13.5%
1 500
12.9%
3 281
7.2%
6 280
7.2%
2 258
6.6%
8 256
6.6%
4 242
6.2%
7 240
6.2%
Other values (5) 232
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3271
84.3%
Dash Punctuation 538
 
13.9%
Close Punctuation 41
 
1.1%
Open Punctuation 26
 
0.7%
Math Symbol 4
 
0.1%
Other Punctuation 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 530
16.2%
5 525
16.1%
1 500
15.3%
3 281
8.6%
6 280
8.6%
2 258
7.9%
8 256
7.8%
4 242
7.4%
7 240
7.3%
9 159
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 538
100.0%
Close Punctuation
ValueCountFrequency (%)
) 41
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3882
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 538
13.9%
0 530
13.7%
5 525
13.5%
1 500
12.9%
3 281
7.2%
6 280
7.2%
2 258
6.6%
8 256
6.6%
4 242
6.2%
7 240
6.2%
Other values (5) 232
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3882
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 538
13.9%
0 530
13.7%
5 525
13.5%
1 500
12.9%
3 281
7.2%
6 280
7.2%
2 258
6.6%
8 256
6.6%
4 242
6.2%
7 240
6.2%
Other values (5) 232
6.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing453
Missing (%)100.0%
Memory size4.1 KiB

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing453
Missing (%)100.0%
Memory size4.1 KiB

소재지전체주소
Text

MISSING 

Distinct418
Distinct (%)97.4%
Missing24
Missing (%)5.3%
Memory size3.7 KiB
2024-04-17T13:31:08.758904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length40
Mean length24.109557
Min length12

Characters and Unicode

Total characters10343
Distinct characters227
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique407 ?
Unique (%)94.9%

Sample

1st row부산광역시 연제구 연산동 587-8번지 연산 SK뷰 103동 706호
2nd row부산광역시 동구 초량동 1157-8
3rd row부산광역시 중구 중앙동4가 89-1번지 외환빌딩1층
4th row부산광역시 중구 동광동4가 3-2번지
5th row부산광역시 중구 대창동2가 33-1번지 502호
ValueCountFrequency (%)
부산광역시 429
 
21.8%
부산진구 77
 
3.9%
동래구 49
 
2.5%
연제구 43
 
2.2%
금정구 36
 
1.8%
사하구 32
 
1.6%
남구 29
 
1.5%
북구 28
 
1.4%
연산동 27
 
1.4%
사상구 25
 
1.3%
Other values (665) 1190
60.6%
2024-04-17T13:31:09.090404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1550
 
15.0%
산 550
 
5.3%
부 535
 
5.2%
동 534
 
5.2%
1 492
 
4.8%
광 439
 
4.2%
시 434
 
4.2%
구 432
 
4.2%
역 431
 
4.2%
- 401
 
3.9%
Other values (217) 4545
43.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6114
59.1%
Decimal Number 2225
 
21.5%
Space Separator 1550
 
15.0%
Dash Punctuation 401
 
3.9%
Open Punctuation 16
 
0.2%
Close Punctuation 16
 
0.2%
Uppercase Letter 13
 
0.1%
Other Punctuation 7
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 550
 
9.0%
부 535
 
8.8%
동 534
 
8.7%
광 439
 
7.2%
시 434
 
7.1%
구 432
 
7.1%
역 431
 
7.0%
지 352
 
5.8%
번 329
 
5.4%
연 92
 
1.5%
Other values (194) 1986
32.5%
Decimal Number
ValueCountFrequency (%)
1 492
22.1%
2 303
13.6%
3 271
12.2%
4 212
9.5%
5 197
8.9%
6 184
 
8.3%
0 177
 
8.0%
7 144
 
6.5%
8 133
 
6.0%
9 112
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
B 7
53.8%
F 2
 
15.4%
K 1
 
7.7%
D 1
 
7.7%
A 1
 
7.7%
S 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 6
85.7%
/ 1
 
14.3%
Space Separator
ValueCountFrequency (%)
1550
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 401
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6114
59.1%
Common 4215
40.8%
Latin 14
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 550
 
9.0%
부 535
 
8.8%
동 534
 
8.7%
광 439
 
7.2%
시 434
 
7.1%
구 432
 
7.1%
역 431
 
7.0%
지 352
 
5.8%
번 329
 
5.4%
연 92
 
1.5%
Other values (194) 1986
32.5%
Common
ValueCountFrequency (%)
1550
36.8%
1 492
 
11.7%
- 401
 
9.5%
2 303
 
7.2%
3 271
 
6.4%
4 212
 
5.0%
5 197
 
4.7%
6 184
 
4.4%
0 177
 
4.2%
7 144
 
3.4%
Other values (6) 284
 
6.7%
Latin
ValueCountFrequency (%)
B 7
50.0%
F 2
 
14.3%
K 1
 
7.1%
D 1
 
7.1%
A 1
 
7.1%
S 1
 
7.1%
b 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6114
59.1%
ASCII 4229
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1550
36.7%
1 492
 
11.6%
- 401
 
9.5%
2 303
 
7.2%
3 271
 
6.4%
4 212
 
5.0%
5 197
 
4.7%
6 184
 
4.4%
0 177
 
4.2%
7 144
 
3.4%
Other values (13) 298
 
7.0%
Hangul
ValueCountFrequency (%)
산 550
 
9.0%
부 535
 
8.8%
동 534
 
8.7%
광 439
 
7.2%
시 434
 
7.1%
구 432
 
7.1%
역 431
 
7.0%
지 352
 
5.8%
번 329
 
5.4%
연 92
 
1.5%
Other values (194) 1986
32.5%

도로명전체주소
Text

MISSING 

Distinct374
Distinct (%)96.6%
Missing66
Missing (%)14.6%
Memory size3.7 KiB
2024-04-17T13:31:09.432909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length46
Mean length29.661499
Min length20

Characters and Unicode

Total characters11479
Distinct characters261
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique361 ?
Unique (%)93.3%

Sample

1st row부산광역시 연제구 중앙대로 1130, 103동 706호 (연산동,연산 SK뷰)
2nd row부산광역시 동구 중앙대로308번길 3-5 (초량동)
3rd row부산광역시 중구 대청로 131-1 (동광동4가)
4th row부산광역시 중구 보수대로124번길 42 (보수동2가)
5th row부산광역시 동래구 쇠미로217번길 58 (온천동)
ValueCountFrequency (%)
부산광역시 387
 
18.1%
부산진구 75
 
3.5%
동래구 47
 
2.2%
연제구 45
 
2.1%
남구 32
 
1.5%
동구 27
 
1.3%
북구 27
 
1.3%
사상구 25
 
1.2%
수영구 25
 
1.2%
연산동 25
 
1.2%
Other values (747) 1429
66.7%
2024-04-17T13:31:09.956274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1856
 
16.2%
동 541
 
4.7%
산 508
 
4.4%
부 494
 
4.3%
광 408
 
3.6%
시 403
 
3.5%
1 402
 
3.5%
구 393
 
3.4%
( 391
 
3.4%
역 389
 
3.4%
Other values (251) 5694
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6779
59.1%
Space Separator 1856
 
16.2%
Decimal Number 1802
 
15.7%
Open Punctuation 391
 
3.4%
Close Punctuation 388
 
3.4%
Other Punctuation 172
 
1.5%
Dash Punctuation 76
 
0.7%
Uppercase Letter 14
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 541
 
8.0%
산 508
 
7.5%
부 494
 
7.3%
광 408
 
6.0%
시 403
 
5.9%
구 393
 
5.8%
역 389
 
5.7%
로 382
 
5.6%
번 230
 
3.4%
길 230
 
3.4%
Other values (228) 2801
41.3%
Decimal Number
ValueCountFrequency (%)
1 402
22.3%
2 295
16.4%
3 181
10.0%
4 165
9.2%
6 145
 
8.0%
0 144
 
8.0%
5 133
 
7.4%
7 125
 
6.9%
8 115
 
6.4%
9 97
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
B 7
50.0%
A 2
 
14.3%
F 2
 
14.3%
D 1
 
7.1%
K 1
 
7.1%
S 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
, 171
99.4%
/ 1
 
0.6%
Space Separator
ValueCountFrequency (%)
1856
100.0%
Open Punctuation
ValueCountFrequency (%)
( 391
100.0%
Close Punctuation
ValueCountFrequency (%)
) 388
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 76
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6779
59.1%
Common 4685
40.8%
Latin 15
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 541
 
8.0%
산 508
 
7.5%
부 494
 
7.3%
광 408
 
6.0%
시 403
 
5.9%
구 393
 
5.8%
역 389
 
5.7%
로 382
 
5.6%
번 230
 
3.4%
길 230
 
3.4%
Other values (228) 2801
41.3%
Common
ValueCountFrequency (%)
1856
39.6%
1 402
 
8.6%
( 391
 
8.3%
) 388
 
8.3%
2 295
 
6.3%
3 181
 
3.9%
, 171
 
3.6%
4 165
 
3.5%
6 145
 
3.1%
0 144
 
3.1%
Other values (6) 547
 
11.7%
Latin
ValueCountFrequency (%)
B 7
46.7%
A 2
 
13.3%
F 2
 
13.3%
D 1
 
6.7%
K 1
 
6.7%
S 1
 
6.7%
b 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6779
59.1%
ASCII 4700
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1856
39.5%
1 402
 
8.6%
( 391
 
8.3%
) 388
 
8.3%
2 295
 
6.3%
3 181
 
3.9%
, 171
 
3.6%
4 165
 
3.5%
6 145
 
3.1%
0 144
 
3.1%
Other values (13) 562
 
12.0%
Hangul
ValueCountFrequency (%)
동 541
 
8.0%
산 508
 
7.5%
부 494
 
7.3%
광 408
 
6.0%
시 403
 
5.9%
구 393
 
5.8%
역 389
 
5.7%
로 382
 
5.6%
번 230
 
3.4%
길 230
 
3.4%
Other values (228) 2801
41.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct75
Distinct (%)90.4%
Missing370
Missing (%)81.7%
Infinite0
Infinite (%)0.0%
Mean47526.783
Minimum46020
Maximum49524
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-04-17T13:31:10.085834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46020
5-th percentile46083.8
Q146558
median47562
Q348346
95-th percentile49396
Maximum49524
Range3504
Interquartile range (IQR)1788

Descriptive statistics

Standard deviation1015.0087
Coefficient of variation (CV)0.021356562
Kurtosis-0.89726218
Mean47526.783
Median Absolute Deviation (MAD)927
Skewness0.35398895
Sum3944723
Variance1030242.7
MonotonicityNot monotonic
2024-04-17T13:31:10.251329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46507 3
 
0.7%
46505 3
 
0.7%
47603 2
 
0.4%
49360 2
 
0.4%
46305 2
 
0.4%
48729 2
 
0.4%
47755 1
 
0.2%
46721 1
 
0.2%
49324 1
 
0.2%
49416 1
 
0.2%
Other values (65) 65
 
14.3%
(Missing) 370
81.7%
ValueCountFrequency (%)
46020 1
0.2%
46033 1
0.2%
46055 1
0.2%
46063 1
0.2%
46070 1
0.2%
46208 1
0.2%
46233 1
0.2%
46271 1
0.2%
46305 2
0.4%
46319 1
0.2%
ValueCountFrequency (%)
49524 1
0.2%
49511 1
0.2%
49428 1
0.2%
49416 1
0.2%
49400 1
0.2%
49360 2
0.4%
49324 1
0.2%
48924 1
0.2%
48796 1
0.2%
48738 1
0.2%

사업장명
Text

Distinct398
Distinct (%)87.9%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2024-04-17T13:31:10.457630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length18
Mean length6.7350993
Min length1

Characters and Unicode

Total characters3051
Distinct characters280
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique351 ?
Unique (%)77.5%

Sample

1st row(주)케이투 종합관리
2nd row(주)케이제이씨에스
3rd row(주)뉴스타시큐리티
4th row(주)대한특수개발
5th row강남환경공사
ValueCountFrequency (%)
주식회사 19
 
3.8%
주)만비종합관리 4
 
0.8%
신광환경산업 3
 
0.6%
주)대은기업 3
 
0.6%
유한회사 3
 
0.6%
주 3
 
0.6%
청수산업 3
 
0.6%
주)가가이엔지 3
 
0.6%
청수환경 3
 
0.6%
부일환경개발 3
 
0.6%
Other values (404) 451
90.6%
2024-04-17T13:31:10.759046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 214
 
7.0%
) 189
 
6.2%
( 188
 
6.2%
경 150
 
4.9%
환 141
 
4.6%
업 88
 
2.9%
스 70
 
2.3%
산 69
 
2.3%
사 67
 
2.2%
종 51
 
1.7%
Other values (270) 1824
59.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2577
84.5%
Close Punctuation 189
 
6.2%
Open Punctuation 188
 
6.2%
Space Separator 45
 
1.5%
Uppercase Letter 23
 
0.8%
Lowercase Letter 13
 
0.4%
Other Punctuation 7
 
0.2%
Decimal Number 7
 
0.2%
Other Symbol 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 214
 
8.3%
경 150
 
5.8%
환 141
 
5.5%
업 88
 
3.4%
스 70
 
2.7%
산 69
 
2.7%
사 67
 
2.6%
종 51
 
2.0%
합 47
 
1.8%
대 44
 
1.7%
Other values (236) 1636
63.5%
Uppercase Letter
ValueCountFrequency (%)
P 3
13.0%
T 3
13.0%
E 3
13.0%
C 3
13.0%
N 3
13.0%
O 2
8.7%
G 1
 
4.3%
S 1
 
4.3%
A 1
 
4.3%
R 1
 
4.3%
Other values (2) 2
8.7%
Lowercase Letter
ValueCountFrequency (%)
s 2
15.4%
t 2
15.4%
o 2
15.4%
c 1
7.7%
k 1
7.7%
l 1
7.7%
r 1
7.7%
n 1
7.7%
e 1
7.7%
p 1
7.7%
Decimal Number
ValueCountFrequency (%)
0 2
28.6%
4 2
28.6%
2 1
14.3%
3 1
14.3%
1 1
14.3%
Other Punctuation
ValueCountFrequency (%)
. 5
71.4%
& 2
 
28.6%
Close Punctuation
ValueCountFrequency (%)
) 189
100.0%
Open Punctuation
ValueCountFrequency (%)
( 188
100.0%
Space Separator
ValueCountFrequency (%)
45
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2578
84.5%
Common 437
 
14.3%
Latin 36
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 214
 
8.3%
경 150
 
5.8%
환 141
 
5.5%
업 88
 
3.4%
스 70
 
2.7%
산 69
 
2.7%
사 67
 
2.6%
종 51
 
2.0%
합 47
 
1.8%
대 44
 
1.7%
Other values (237) 1637
63.5%
Latin
ValueCountFrequency (%)
P 3
 
8.3%
T 3
 
8.3%
E 3
 
8.3%
C 3
 
8.3%
N 3
 
8.3%
s 2
 
5.6%
O 2
 
5.6%
t 2
 
5.6%
o 2
 
5.6%
G 1
 
2.8%
Other values (12) 12
33.3%
Common
ValueCountFrequency (%)
) 189
43.2%
( 188
43.0%
45
 
10.3%
. 5
 
1.1%
& 2
 
0.5%
0 2
 
0.5%
4 2
 
0.5%
- 1
 
0.2%
2 1
 
0.2%
3 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2577
84.5%
ASCII 473
 
15.5%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 214
 
8.3%
경 150
 
5.8%
환 141
 
5.5%
업 88
 
3.4%
스 70
 
2.7%
산 69
 
2.7%
사 67
 
2.6%
종 51
 
2.0%
합 47
 
1.8%
대 44
 
1.7%
Other values (236) 1636
63.5%
ASCII
ValueCountFrequency (%)
) 189
40.0%
( 188
39.7%
45
 
9.5%
. 5
 
1.1%
P 3
 
0.6%
T 3
 
0.6%
E 3
 
0.6%
C 3
 
0.6%
N 3
 
0.6%
& 2
 
0.4%
Other values (23) 29
 
6.1%
None
ValueCountFrequency (%)
㈜ 1
100.0%

최종수정시점
Real number (ℝ)

Distinct261
Distinct (%)57.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0170957 × 1013
Minimum2.0150105 × 1013
Maximum2.0210128 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-04-17T13:31:10.869591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0150105 × 1013
5-th percentile2.0150105 × 1013
Q12.0150105 × 1013
median2.0160701 × 1013
Q32.0200113 × 1013
95-th percentile2.0201218 × 1013
Maximum2.0210128 × 1013
Range6.0022947 × 1010
Interquartile range (IQR)5.0007936 × 1010

Descriptive statistics

Standard deviation2.2646077 × 1010
Coefficient of variation (CV)0.0011227071
Kurtosis-1.6033387
Mean2.0170957 × 1013
Median Absolute Deviation (MAD)1.059597 × 1010
Skewness0.39175063
Sum9.1374436 × 1015
Variance5.1284482 × 1020
MonotonicityNot monotonic
2024-04-17T13:31:10.973895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20150105205851 33
 
7.3%
20150105205900 24
 
5.3%
20150105210051 22
 
4.9%
20150105210006 21
 
4.6%
20150105205949 17
 
3.8%
20150105210037 17
 
3.8%
20150105205753 15
 
3.3%
20150105210148 14
 
3.1%
20150105205826 14
 
3.1%
20150105205935 7
 
1.5%
Other values (251) 269
59.4%
ValueCountFrequency (%)
20150105205752 4
 
0.9%
20150105205753 15
3.3%
20150105205826 14
3.1%
20150105205842 7
 
1.5%
20150105205851 33
7.3%
20150105205900 24
5.3%
20150105205929 2
 
0.4%
20150105205935 7
 
1.5%
20150105205949 17
3.8%
20150105210006 21
4.6%
ValueCountFrequency (%)
20210128152650 1
0.2%
20210128152100 1
0.2%
20210128151933 1
0.2%
20210125112332 1
0.2%
20210125112131 1
0.2%
20210115162116 1
0.2%
20210115153750 1
0.2%
20210115133122 1
0.2%
20210115085800 1
0.2%
20210107134936 1
0.2%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
I
310 
U
143 

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 310
68.4%
U 143
31.6%

Length

2024-04-17T13:31:11.074544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:31:11.142942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 310
68.4%
u 143
31.6%

데이터갱신일자
Date

Distinct98
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
Minimum2018-08-31 23:59:59
Maximum2021-01-30 02:40:00
2024-04-17T13:31:11.234133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T13:31:11.351946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing453
Missing (%)100.0%
Memory size4.1 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct405
Distinct (%)91.6%
Missing11
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean387688.77
Minimum369071.6
Maximum405058.29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-04-17T13:31:11.460010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum369071.6
5-th percentile379468.9
Q1385384.11
median388289.84
Q3390412.21
95-th percentile393571.9
Maximum405058.29
Range35986.685
Interquartile range (IQR)5028.1004

Descriptive statistics

Standard deviation5009.0447
Coefficient of variation (CV)0.012920273
Kurtosis1.6839715
Mean387688.77
Median Absolute Deviation (MAD)2524.2205
Skewness-0.038567739
Sum1.7135844 × 108
Variance25090529
MonotonicityNot monotonic
2024-04-17T13:31:11.569017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
385651.871633914 4
 
0.9%
388377.975563711 3
 
0.7%
387927.951172724 3
 
0.7%
387795.667002134 3
 
0.7%
383548.645914145 2
 
0.4%
388419.042734647 2
 
0.4%
388763.048913994 2
 
0.4%
388289.841360157 2
 
0.4%
386412.225034757 2
 
0.4%
388423.564378881 2
 
0.4%
Other values (395) 417
92.1%
(Missing) 11
 
2.4%
ValueCountFrequency (%)
369071.601644319 1
0.2%
371215.463308088 1
0.2%
371404.597126582 2
0.4%
376007.284970032 1
0.2%
376049.919994039 1
0.2%
376212.63491879 1
0.2%
376526.213854005 1
0.2%
377988.03993089 1
0.2%
378562.342543267 1
0.2%
378577.826943545 1
0.2%
ValueCountFrequency (%)
405058.286889238 1
0.2%
403590.070206333 1
0.2%
403298.0 1
0.2%
402789.748360406 1
0.2%
401979.099212387 1
0.2%
401843.097072658 1
0.2%
401812.847318369 1
0.2%
401611.795520442 1
0.2%
401566.930695658 1
0.2%
401398.336817082 1
0.2%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct405
Distinct (%)91.6%
Missing11
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean187674.06
Minimum174140.92
Maximum205199.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-04-17T13:31:11.681060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174140.92
5-th percentile179529.13
Q1183981.76
median187794.58
Q3191068.61
95-th percentile197560.13
Maximum205199.82
Range31058.906
Interquartile range (IQR)7086.85

Descriptive statistics

Standard deviation5356.8595
Coefficient of variation (CV)0.028543419
Kurtosis0.042507251
Mean187674.06
Median Absolute Deviation (MAD)3555.3052
Skewness0.17473313
Sum82951936
Variance28695944
MonotonicityNot monotonic
2024-04-17T13:31:11.782408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
180892.474928023 4
 
0.9%
191942.775777965 3
 
0.7%
186582.791097672 3
 
0.7%
185026.900433009 3
 
0.7%
198244.159873149 2
 
0.4%
189626.995756466 2
 
0.4%
189834.533422282 2
 
0.4%
185247.303050675 2
 
0.4%
188410.474588961 2
 
0.4%
187785.194320347 2
 
0.4%
Other values (395) 417
92.1%
(Missing) 11
 
2.4%
ValueCountFrequency (%)
174140.916066183 1
0.2%
174685.736751117 1
0.2%
174712.935002833 1
0.2%
175120.936107909 1
0.2%
175348.555691453 1
0.2%
176338.229863588 1
0.2%
176613.378791287 1
0.2%
176893.324496578 1
0.2%
177399.069575703 1
0.2%
177547.466072236 2
0.4%
ValueCountFrequency (%)
205199.822523986 1
0.2%
204981.640802 1
0.2%
202310.122801006 1
0.2%
201306.7697552 1
0.2%
199378.846451463 1
0.2%
199298.252293392 1
0.2%
199001.043230417 1
0.2%
198564.363936364 1
0.2%
198551.712629252 1
0.2%
198482.0 1
0.2%

업무구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
31
453 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row31
2nd row31
3rd row31
4th row31
5th row31

Common Values

ValueCountFrequency (%)
31 453
100.0%

Length

2024-04-17T13:31:11.889898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:31:11.954985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
31 453
100.0%

건축물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing453
Missing (%)100.0%
Memory size4.1 KiB

건축물연면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing453
Missing (%)100.0%
Memory size4.1 KiB

건축물상태명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing453
Missing (%)100.0%
Memory size4.1 KiB

청소대상시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing453
Missing (%)100.0%
Memory size4.1 KiB

청소대상종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing453
Missing (%)100.0%
Memory size4.1 KiB

휴업폐지사유
Text

MISSING 

Distinct98
Distinct (%)52.7%
Missing267
Missing (%)58.9%
Memory size3.7 KiB
2024-04-17T13:31:12.120674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length52
Mean length7.8387097
Min length2

Characters and Unicode

Total characters1458
Distinct characters154
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique81 ?
Unique (%)43.5%

Sample

1st row동구로 사업장 이전
2nd row사업장 이전으로 연제구 전출.
3rd row소재지이전(중구-> 금정구) - 서류 일체 이관(환경위생과-18439, 2016.7.12)
4th row타구 이전
5th row영업부진
ValueCountFrequency (%)
영업부진 53
 
16.3%
이전 21
 
6.4%
사업장 19
 
5.8%
폐업 14
 
4.3%
자진폐업 11
 
3.4%
사업부진 8
 
2.5%
사업장폐쇄명령(2008.9.26 5
 
1.5%
개인사정 5
 
1.5%
등 5
 
1.5%
부진 5
 
1.5%
Other values (139) 180
55.2%
2024-04-17T13:31:12.451943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
업 151
 
10.4%
140
 
9.6%
진 89
 
6.1%
부 82
 
5.6%
영 72
 
4.9%
사 71
 
4.9%
전 54
 
3.7%
이 48
 
3.3%
폐 40
 
2.7%
장 35
 
2.4%
Other values (144) 676
46.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1118
76.7%
Space Separator 140
 
9.6%
Decimal Number 105
 
7.2%
Open Punctuation 29
 
2.0%
Close Punctuation 29
 
2.0%
Other Punctuation 28
 
1.9%
Dash Punctuation 6
 
0.4%
Control 2
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 151
 
13.5%
진 89
 
8.0%
부 82
 
7.3%
영 72
 
6.4%
사 71
 
6.4%
전 54
 
4.8%
이 48
 
4.3%
폐 40
 
3.6%
장 35
 
3.1%
구 25
 
2.2%
Other values (126) 451
40.3%
Decimal Number
ValueCountFrequency (%)
2 25
23.8%
0 24
22.9%
6 12
11.4%
1 11
10.5%
8 8
 
7.6%
9 8
 
7.6%
3 6
 
5.7%
7 4
 
3.8%
5 4
 
3.8%
4 3
 
2.9%
Other Punctuation
ValueCountFrequency (%)
. 24
85.7%
, 4
 
14.3%
Space Separator
ValueCountFrequency (%)
140
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Control
ValueCountFrequency (%)
2
100.0%
Math Symbol
ValueCountFrequency (%)
> 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1118
76.7%
Common 340
 
23.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 151
 
13.5%
진 89
 
8.0%
부 82
 
7.3%
영 72
 
6.4%
사 71
 
6.4%
전 54
 
4.8%
이 48
 
4.3%
폐 40
 
3.6%
장 35
 
3.1%
구 25
 
2.2%
Other values (126) 451
40.3%
Common
ValueCountFrequency (%)
140
41.2%
( 29
 
8.5%
) 29
 
8.5%
2 25
 
7.4%
. 24
 
7.1%
0 24
 
7.1%
6 12
 
3.5%
1 11
 
3.2%
8 8
 
2.4%
9 8
 
2.4%
Other values (8) 30
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1118
76.7%
ASCII 340
 
23.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
업 151
 
13.5%
진 89
 
8.0%
부 82
 
7.3%
영 72
 
6.4%
사 71
 
6.4%
전 54
 
4.8%
이 48
 
4.3%
폐 40
 
3.6%
장 35
 
3.1%
구 25
 
2.2%
Other values (126) 451
40.3%
ASCII
ValueCountFrequency (%)
140
41.2%
( 29
 
8.5%
) 29
 
8.5%
2 25
 
7.4%
. 24
 
7.1%
0 24
 
7.1%
6 12
 
3.5%
1 11
 
3.2%
8 8
 
2.4%
9 8
 
2.4%
Other values (8) 30
 
8.8%

업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
저수조청소업
453 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
저수조청소업 453
100.0%

Length

2024-04-17T13:31:12.567776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:31:12.644570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
저수조청소업 453
100.0%

Unnamed: 36
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing453
Missing (%)100.0%
Memory size4.1 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)업무구분건축물명건축물연면적건축물상태명청소대상시작일자청소대상종료일자휴업폐지사유업무구분명Unnamed: 36
01저수조청소업09_30_14_P337000033700003120040000320140324<NA>4취소/말소/만료/정지/중지4폐쇄20170510<NA><NA><NA>851-9782<NA><NA>부산광역시 연제구 연산동 587-8번지 연산 SK뷰 103동 706호부산광역시 연제구 중앙대로 1130, 103동 706호 (연산동,연산 SK뷰)<NA>(주)케이투 종합관리20170510180557I2018-08-31 23:59:59.0<NA>389510.788094189669.57167131<NA><NA><NA><NA><NA>동구로 사업장 이전저수조청소업<NA>
12저수조청소업09_30_14_P327000032700003120150000120170530<NA>4취소/말소/만료/정지/중지4폐쇄20200520<NA><NA><NA>051-465-9428<NA><NA>부산광역시 동구 초량동 1157-8부산광역시 동구 중앙대로308번길 3-5 (초량동)48729(주)케이제이씨에스20201218105631U2020-12-20 02:40:00.0<NA>386351.941329182468.78681531<NA><NA><NA><NA><NA>사업장 이전으로 연제구 전출.저수조청소업<NA>
23저수조청소업09_30_14_P325000032500003120070000120070727<NA>3폐업2폐업20160712<NA><NA><NA>469-1191<NA><NA>부산광역시 중구 중앙동4가 89-1번지 외환빌딩1층<NA><NA>(주)뉴스타시큐리티20160713100138I2018-08-31 23:59:59.0<NA>385624.46871180447.91451431<NA><NA><NA><NA><NA>소재지이전(중구-> 금정구) - 서류 일체 이관(환경위생과-18439, 2016.7.12)저수조청소업<NA>
34저수조청소업09_30_14_P325000032500003120090000120130709<NA>3폐업2폐업20151217<NA><NA><NA>291-8240<NA><NA>부산광역시 중구 동광동4가 3-2번지부산광역시 중구 대청로 131-1 (동광동4가)<NA>(주)대한특수개발20151217170933I2018-08-31 23:59:59.0<NA>385418.401459180103.91074431<NA><NA><NA><NA><NA><NA>저수조청소업<NA>
45저수조청소업09_30_14_P325000032500003120110000120140108<NA>3폐업2폐업20140107<NA><NA><NA>051-441-0240<NA><NA>부산광역시 중구 대창동2가 33-1번지 502호<NA><NA>강남환경공사20150105210131I2018-08-31 23:59:59.0<NA>385651.871634180892.47492831<NA><NA><NA><NA><NA>타구 이전저수조청소업<NA>
56저수조청소업09_30_14_P325000032500003119970000220071224<NA>3폐업2폐업20160811<NA><NA><NA>051-241-5858<NA><NA>부산광역시 중구 보수동2가 77-17번지부산광역시 중구 보수대로124번길 42 (보수동2가)<NA>(주)대성공사20160812111424I2018-08-31 23:59:59.0<NA>384393.363549180323.81437331<NA><NA><NA><NA><NA>영업부진저수조청소업<NA>
67저수조청소업09_30_14_P325000032500003120050000120080215<NA>3폐업2폐업20160108<NA><NA><NA>051)467-5353<NA><NA>부산광역시 중구 중앙동5가 11-1번지<NA><NA>(주)퍼시픽우진20160108133145I2018-08-31 23:59:59.0<NA>385663.584143179952.76589531<NA><NA><NA><NA><NA>강서구로 사업체 이전저수조청소업<NA>
78저수조청소업09_30_14_P330000033000003120030000820050310<NA>3폐업2폐업<NA><NA><NA><NA>523-0551<NA><NA>부산광역시 동래구 안락동 462-25번지<NA><NA>뉴그린산업20150105205900I2018-08-31 23:59:59.0<NA>392011.539109190630.86031631<NA><NA><NA><NA><NA>영업부실저수조청소업<NA>
89저수조청소업09_30_14_P330000033000003120130000320130816<NA>3폐업2폐업20190321<NA><NA><NA>503-1547<NA><NA>부산광역시 동래구 온천동 1140번지부산광역시 동래구 쇠미로217번길 58 (온천동)<NA>유정개발 주식회사20190321180046U2019-03-23 02:40:00.0<NA>387668.872916192148.75177931<NA><NA><NA><NA><NA>자진폐업저수조청소업<NA>
910저수조청소업09_30_14_P330000033000003120150000120150901<NA>3폐업2폐업20161018<NA><NA><NA><NA><NA><NA>부산광역시 동래구 낙민동 223-17번지부산광역시 동래구 충렬대로 276, 7층 (낙민동, 청암빌딩)<NA>세영개발20161021104746I2018-08-31 23:59:59.0<NA>390190.531478191034.61651831<NA><NA><NA><NA><NA>영업부진저수조청소업<NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)업무구분건축물명건축물연면적건축물상태명청소대상시작일자청소대상종료일자휴업폐지사유업무구분명Unnamed: 36
443444저수조청소업09_30_14_P333000033300003120030000420090323<NA>1영업/정상11정상<NA><NA><NA><NA>784-2878<NA><NA>부산광역시 해운대구 반여동 1291-1405번지<NA><NA>에이스20150105210148I2018-08-31 23:59:59.0<NA>394226.889534190683.13900331<NA><NA><NA><NA><NA><NA>저수조청소업<NA>
444445저수조청소업09_30_14_P333000033300003120070000120081211<NA>1영업/정상11정상<NA><NA><NA><NA>524-2196<NA><NA>부산광역시 해운대구 반여동 763-78번지<NA><NA>일진특수환경산업(주)20150105210148I2018-08-31 23:59:59.0<NA>393307.096759192155.97677931<NA><NA><NA><NA><NA><NA>저수조청소업<NA>
445446저수조청소업09_30_14_P333000033300003120090000120090203<NA>1영업/정상11정상<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 반여동 615-7번지 2층<NA><NA>다바르용역20150105210148I2018-08-31 23:59:59.0<NA>392650.504388192121.10913531<NA><NA><NA><NA><NA><NA>저수조청소업<NA>
446447저수조청소업09_30_14_P333000033300003120090000220090129<NA>1영업/정상11정상<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 반여동 615-7번지 2층<NA><NA>다바르용역20150105210148I2018-08-31 23:59:59.0<NA>392650.504388192121.10913531<NA><NA><NA><NA><NA><NA>저수조청소업<NA>
447448저수조청소업09_30_14_P333000033300003120090000320121206<NA>1영업/정상11정상<NA><NA><NA><NA>051-327-4752<NA><NA>부산광역시 해운대구 재송동 1052-5번지 2층<NA><NA>(주)범경시스템20150105210148I2018-08-31 23:59:59.0<NA>393146.497106189968.54096631<NA><NA><NA><NA><NA><NA>저수조청소업<NA>
448449저수조청소업09_30_14_P333000033300003120110000120120914<NA>1영업/정상11정상<NA><NA><NA><NA>051-915-7474<NA><NA>부산광역시 해운대구 반여동 797번지<NA><NA>(주)다조그린20150105210148I2018-08-31 23:59:59.0<NA>393431.289706192079.75308331<NA><NA><NA><NA><NA><NA>저수조청소업<NA>
449450저수조청소업09_30_14_P333000033300003120120000120200421<NA>1영업/정상11정상<NA><NA><NA><NA>783-0011<NA><NA>부산광역시 해운대구 재송동 1124-14번지부산광역시 해운대구 재반로84번길 13, 2층 (재송동)48053현대종합시스템20200421101223U2020-04-23 02:40:00.0<NA>393694.615983189842.78832131<NA><NA><NA><NA><NA><NA>저수조청소업<NA>
450451저수조청소업09_30_14_P333000033300003120130000120130220<NA>1영업/정상11정상<NA><NA><NA><NA>544-7776<NA><NA>부산광역시 해운대구 반송동 77번지 반송영구임대아파트 상가 가동 206호부산광역시 해운대구 신반송로 200, 가동 206호 (반송동, 반송영구임대아파트 상가)<NA>대건환경공사20150105210148I2018-08-31 23:59:59.0<NA>396472.616415194680.78821831<NA><NA><NA><NA><NA><NA>저수조청소업<NA>
451452저수조청소업09_30_14_P333000033300003120130000220130710<NA>1영업/정상11정상<NA><NA><NA><NA>051-523-4952<NA><NA>부산광역시 해운대구 재송동 1212번지 큐비이센텀 본동 2312호부산광역시 해운대구 센텀중앙로 90, 본동 2312호 (재송동, 큐비이센텀)<NA>(주)보성기업20200106112840U2020-01-08 02:40:00.0<NA>393605.930359188324.97374931<NA><NA><NA><NA><NA><NA>저수조청소업<NA>
452453저수조청소업09_30_14_P333000033300003120170000120171107<NA>1영업/정상11정상<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 재송동 273-3번지 센텀재송빌아파트부산광역시 해운대구 재반로63번길 17, 106호 (재송동, 센텀재송빌아파트)48056금화건업20171107173355I2018-08-31 23:59:59.0<NA>393532.489969189297.00970631<NA><NA><NA><NA><NA><NA>저수조청소업<NA>