Overview

Dataset statistics

Number of variables37
Number of observations457
Missing cells6201
Missing cells (%)36.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory143.4 KiB
Average record size in memory321.3 B

Variable types

Numeric9
Categorical11
Unsupported11
Text5
DateTime1

Dataset

Description2021-05-01
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 (96.6%)Imbalance
휴업종료일자 is highly imbalanced (96.6%)Imbalance
인허가취소일자 has 457 (100.0%) missing valuesMissing
폐업일자 has 334 (73.1%) missing valuesMissing
재개업일자 has 457 (100.0%) missing valuesMissing
소재지전화 has 91 (19.9%) missing valuesMissing
소재지면적 has 457 (100.0%) missing valuesMissing
소재지우편번호 has 457 (100.0%) missing valuesMissing
소재지전체주소 has 24 (5.3%) missing valuesMissing
도로명전체주소 has 66 (14.4%) missing valuesMissing
도로명우편번호 has 369 (80.7%) missing valuesMissing
업태구분명 has 457 (100.0%) missing valuesMissing
좌표정보(x) has 11 (2.4%) missing valuesMissing
좌표정보(y) has 11 (2.4%) missing valuesMissing
건축물명 has 457 (100.0%) missing valuesMissing
건축물연면적 has 457 (100.0%) missing valuesMissing
건축물상태명 has 457 (100.0%) missing valuesMissing
청소대상시작일자 has 457 (100.0%) missing valuesMissing
청소대상종료일자 has 457 (100.0%) missing valuesMissing
휴업폐지사유 has 268 (58.6%) missing valuesMissing
Unnamed: 36 has 457 (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 04:30:46.572281
Analysis finished2024-04-17 04:30:47.109327
Duration0.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct457
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean229
Minimum1
Maximum457
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-04-17T13:30:47.168515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile23.8
Q1115
median229
Q3343
95-th percentile434.2
Maximum457
Range456
Interquartile range (IQR)228

Descriptive statistics

Standard deviation132.0688
Coefficient of variation (CV)0.57671963
Kurtosis-1.2
Mean229
Median Absolute Deviation (MAD)114
Skewness0
Sum104653
Variance17442.167
MonotonicityStrictly increasing
2024-04-17T13:30:47.273681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
315 1
 
0.2%
313 1
 
0.2%
312 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%
Other values (447) 447
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 (%)
457 1
0.2%
456 1
0.2%
455 1
0.2%
454 1
0.2%
453 1
0.2%
452 1
0.2%
451 1
0.2%
450 1
0.2%
449 1
0.2%
448 1
0.2%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
저수조청소업
457 

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 457
100.0%

Length

2024-04-17T13:30:47.367462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:30:47.442342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
저수조청소업 457
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
09_30_14_P
457 

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 457
100.0%

Length

2024-04-17T13:30:47.514778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:30:47.578403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_30_14_p 457
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3326170.7
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-04-17T13:30:47.643108image/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 deviation39972.542
Coefficient of variation (CV)0.012017586
Kurtosis-1.0679046
Mean3326170.7
Median Absolute Deviation (MAD)30000
Skewness0.12997361
Sum1.52006 × 109
Variance1.5978041 × 109
MonotonicityNot monotonic
2024-04-17T13:30:47.729467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3290000 77
16.8%
3300000 51
11.2%
3370000 46
10.1%
3350000 39
8.5%
3340000 37
8.1%
3310000 32
7.0%
3270000 28
 
6.1%
3320000 28
 
6.1%
3390000 27
 
5.9%
3380000 26
 
5.7%
Other values (6) 66
14.4%
ValueCountFrequency (%)
3250000 11
 
2.4%
3260000 9
 
2.0%
3270000 28
 
6.1%
3280000 3
 
0.7%
3290000 77
16.8%
3300000 51
11.2%
3310000 32
7.0%
3320000 28
 
6.1%
3330000 20
 
4.4%
3340000 37
8.1%
ValueCountFrequency (%)
3400000 13
 
2.8%
3390000 27
5.9%
3380000 26
5.7%
3370000 46
10.1%
3360000 10
 
2.2%
3350000 39
8.5%
3340000 37
8.1%
3330000 20
4.4%
3320000 28
6.1%
3310000 32
7.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct457
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.326171 × 1017
Minimum3.2500003 × 1017
Maximum3.4000003 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-04-17T13:30:48.073627image/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 deviation3.9972542 × 1015
Coefficient of variation (CV)0.012017585
Kurtosis-1.0679046
Mean3.326171 × 1017
Median Absolute Deviation (MAD)3 × 1015
Skewness0.12997361
Sum4.4320617 × 1018
Variance1.5978041 × 1031
MonotonicityNot monotonic
2024-04-17T13:30:48.197083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
327000031201500001 1
 
0.2%
326000031201100001 1
 
0.2%
326000031201700001 1
 
0.2%
328000031200700001 1
 
0.2%
327000031200300001 1
 
0.2%
327000031201700002 1
 
0.2%
327000031201200003 1
 
0.2%
327000031201700001 1
 
0.2%
327000031202000001 1
 
0.2%
327000031200300006 1
 
0.2%
Other values (447) 447
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)

Distinct394
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20115691
Minimum19941029
Maximum20210331
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-04-17T13:30:48.319605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19941029
5-th percentile20038333
Q120071228
median20111123
Q320160520
95-th percentile20200521
Maximum20210331
Range269302
Interquartile range (IQR)89292

Descriptive statistics

Standard deviation55032.605
Coefficient of variation (CV)0.0027358049
Kurtosis0.090051905
Mean20115691
Median Absolute Deviation (MAD)39909
Skewness-0.34241276
Sum9.1928706 × 109
Variance3.0285877 × 109
MonotonicityNot monotonic
2024-04-17T13:30:48.432949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20090128 5
 
1.1%
20080107 4
 
0.9%
20071126 4
 
0.9%
20071227 4
 
0.9%
20120118 4
 
0.9%
20071228 4
 
0.9%
20071226 3
 
0.7%
20110621 3
 
0.7%
20071130 3
 
0.7%
20071214 3
 
0.7%
Other values (384) 420
91.9%
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 (%)
20210331 1
0.2%
20210326 1
0.2%
20210302 2
0.4%
20210216 1
0.2%
20210205 1
0.2%
20210125 2
0.4%
20210105 1
0.2%
20201230 1
0.2%
20201203 2
0.4%
20201123 1
0.2%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing457
Missing (%)100.0%
Memory size4.1 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
1
262 
3
190 
2
 
3
4
 
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 (%)
1 262
57.3%
3 190
41.6%
2 3
 
0.7%
4 2
 
0.4%

Length

2024-04-17T13:30:48.536086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:30:48.608113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 262
57.3%
3 190
41.6%
2 3
 
0.7%
4 2
 
0.4%

영업상태명
Categorical

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
영업/정상
262 
폐업
190 
휴업
 
3
취소/말소/만료/정지/중지
 
2

Length

Max length14
Median length5
Mean length3.7724289
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 262
57.3%
폐업 190
41.6%
휴업 3
 
0.7%
취소/말소/만료/정지/중지 2
 
0.4%

Length

2024-04-17T13:30:48.688221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:30:48.764617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 262
57.3%
폐업 190
41.6%
휴업 3
 
0.7%
취소/말소/만료/정지/중지 2
 
0.4%

상세영업상태코드
Categorical

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
11
262 
2
190 
1
 
3
4
 
2

Length

Max length2
Median length2
Mean length1.5733042
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
11 262
57.3%
2 190
41.6%
1 3
 
0.7%
4 2
 
0.4%

Length

2024-04-17T13:30:48.846469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:30:48.928839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11 262
57.3%
2 190
41.6%
1 3
 
0.7%
4 2
 
0.4%

상세영업상태명
Categorical

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
정상
262 
폐업
190 
휴업
 
3
폐쇄
 
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 262
57.3%
폐업 190
41.6%
휴업 3
 
0.7%
폐쇄 2
 
0.4%

Length

2024-04-17T13:30:49.032188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:30:49.118215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 262
57.3%
폐업 190
41.6%
휴업 3
 
0.7%
폐쇄 2
 
0.4%

폐업일자
Real number (ℝ)

MISSING 

Distinct114
Distinct (%)92.7%
Missing334
Missing (%)73.1%
Infinite0
Infinite (%)0.0%
Mean20141938
Minimum20030414
Maximum20210218
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-04-17T13:30:49.211199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20030414
5-th percentile20080926
Q120110214
median20140819
Q320180874
95-th percentile20200782
Maximum20210218
Range179804
Interquartile range (IQR)70660

Descriptive statistics

Standard deviation41284.015
Coefficient of variation (CV)0.0020496546
Kurtosis-1.0495749
Mean20141938
Median Absolute Deviation (MAD)39703
Skewness-0.15643592
Sum2.4774584 × 109
Variance1.7043699 × 109
MonotonicityNot monotonic
2024-04-17T13:30:49.325994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20080926 5
 
1.1%
20190123 3
 
0.7%
20201109 2
 
0.4%
20110621 2
 
0.4%
20080910 2
 
0.4%
20120906 1
 
0.2%
20140402 1
 
0.2%
20120817 1
 
0.2%
20160706 1
 
0.2%
20100914 1
 
0.2%
Other values (104) 104
 
22.8%
(Missing) 334
73.1%
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 (%)
20210218 1
0.2%
20210215 1
0.2%
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%

휴업시작일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
<NA>
454 
20130801
 
1
20201201
 
1
20210311
 
1

Length

Max length8
Median length4
Mean length4.0262582
Min length4

Unique

Unique3 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 454
99.3%
20130801 1
 
0.2%
20201201 1
 
0.2%
20210311 1
 
0.2%

Length

2024-04-17T13:30:49.434527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:30:49.514266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 454
99.3%
20130801 1
 
0.2%
20201201 1
 
0.2%
20210311 1
 
0.2%

휴업종료일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
<NA>
454 
20161231
 
1
20211130
 
1
20230310
 
1

Length

Max length8
Median length4
Mean length4.0262582
Min length4

Unique

Unique3 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 454
99.3%
20161231 1
 
0.2%
20211130 1
 
0.2%
20230310 1
 
0.2%

Length

2024-04-17T13:30:49.600148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:30:49.690439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 454
99.3%
20161231 1
 
0.2%
20211130 1
 
0.2%
20230310 1
 
0.2%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing457
Missing (%)100.0%
Memory size4.1 KiB

소재지전화
Text

MISSING 

Distinct349
Distinct (%)95.4%
Missing91
Missing (%)19.9%
Memory size3.7 KiB
2024-04-17T13:30:49.908123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length10.68306
Min length6

Characters and Unicode

Total characters3910
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

Unique334 ?
Unique (%)91.3%

Sample

1st row051-465-9428
2nd row851-9782
3rd row051-853-7770
4th row051-722-7250
5th row526-8164
ValueCountFrequency (%)
531-4680 3
 
0.8%
051-643-6119 3
 
0.8%
051-529-3775 2
 
0.5%
051-316-4161~2 2
 
0.5%
051-465-4036 2
 
0.5%
806-7844 2
 
0.5%
051-334-8006 2
 
0.5%
051)807-2124 2
 
0.5%
051-291-2696 2
 
0.5%
622-7788 2
 
0.5%
Other values (339) 344
94.0%
2024-04-17T13:30:50.258063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 541
13.8%
0 535
13.7%
5 531
13.6%
1 504
12.9%
3 282
7.2%
6 281
7.2%
2 259
6.6%
8 257
6.6%
4 243
6.2%
7 241
6.2%
Other values (5) 236
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3294
84.2%
Dash Punctuation 541
 
13.8%
Close Punctuation 43
 
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 (%)
0 535
16.2%
5 531
16.1%
1 504
15.3%
3 282
8.6%
6 281
8.5%
2 259
7.9%
8 257
7.8%
4 243
7.4%
7 241
7.3%
9 161
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 541
100.0%
Close Punctuation
ValueCountFrequency (%)
) 43
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 3910
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 541
13.8%
0 535
13.7%
5 531
13.6%
1 504
12.9%
3 282
7.2%
6 281
7.2%
2 259
6.6%
8 257
6.6%
4 243
6.2%
7 241
6.2%
Other values (5) 236
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3910
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 541
13.8%
0 535
13.7%
5 531
13.6%
1 504
12.9%
3 282
7.2%
6 281
7.2%
2 259
6.6%
8 257
6.6%
4 243
6.2%
7 241
6.2%
Other values (5) 236
6.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing457
Missing (%)100.0%
Memory size4.1 KiB

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing457
Missing (%)100.0%
Memory size4.1 KiB

소재지전체주소
Text

MISSING 

Distinct423
Distinct (%)97.7%
Missing24
Missing (%)5.3%
Memory size3.7 KiB
2024-04-17T13:30:50.478187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length40
Mean length24.039261
Min length12

Characters and Unicode

Total characters10409
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

Unique413 ?
Unique (%)95.4%

Sample

1st row부산광역시 동구 초량동 1157-8
2nd row부산광역시 연제구 연산동 587-8번지 연산 SK뷰 103동 706호
3rd row부산광역시 해운대구 재송동 1208-2 센텀스카이비즈
4th row부산광역시 해운대구 좌동 1473-1번지 대림아크로텔 2404호
5th row부산광역시 해운대구 반여동 692-9번지
ValueCountFrequency (%)
부산광역시 433
 
21.9%
부산진구 77
 
3.9%
동래구 50
 
2.5%
연제구 44
 
2.2%
금정구 37
 
1.9%
사하구 33
 
1.7%
남구 29
 
1.5%
북구 28
 
1.4%
연산동 27
 
1.4%
사상구 25
 
1.3%
Other values (671) 1198
60.5%
2024-04-17T13:30:50.798376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1562
 
15.0%
산 554
 
5.3%
부 540
 
5.2%
동 539
 
5.2%
1 495
 
4.8%
광 443
 
4.3%
시 438
 
4.2%
구 436
 
4.2%
역 435
 
4.2%
- 405
 
3.9%
Other values (217) 4562
43.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6148
59.1%
Decimal Number 2241
 
21.5%
Space Separator 1562
 
15.0%
Dash Punctuation 405
 
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 554
 
9.0%
부 540
 
8.8%
동 539
 
8.8%
광 443
 
7.2%
시 438
 
7.1%
구 436
 
7.1%
역 435
 
7.1%
지 347
 
5.6%
번 324
 
5.3%
연 93
 
1.5%
Other values (194) 1999
32.5%
Decimal Number
ValueCountFrequency (%)
1 495
22.1%
2 305
13.6%
3 275
12.3%
4 211
9.4%
5 200
8.9%
6 186
 
8.3%
0 177
 
7.9%
7 145
 
6.5%
8 134
 
6.0%
9 113
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
B 7
53.8%
F 2
 
15.4%
D 1
 
7.7%
A 1
 
7.7%
S 1
 
7.7%
K 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 6
85.7%
/ 1
 
14.3%
Space Separator
ValueCountFrequency (%)
1562
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 405
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 6148
59.1%
Common 4247
40.8%
Latin 14
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 554
 
9.0%
부 540
 
8.8%
동 539
 
8.8%
광 443
 
7.2%
시 438
 
7.1%
구 436
 
7.1%
역 435
 
7.1%
지 347
 
5.6%
번 324
 
5.3%
연 93
 
1.5%
Other values (194) 1999
32.5%
Common
ValueCountFrequency (%)
1562
36.8%
1 495
 
11.7%
- 405
 
9.5%
2 305
 
7.2%
3 275
 
6.5%
4 211
 
5.0%
5 200
 
4.7%
6 186
 
4.4%
0 177
 
4.2%
7 145
 
3.4%
Other values (6) 286
 
6.7%
Latin
ValueCountFrequency (%)
B 7
50.0%
F 2
 
14.3%
D 1
 
7.1%
A 1
 
7.1%
b 1
 
7.1%
S 1
 
7.1%
K 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6148
59.1%
ASCII 4261
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1562
36.7%
1 495
 
11.6%
- 405
 
9.5%
2 305
 
7.2%
3 275
 
6.5%
4 211
 
5.0%
5 200
 
4.7%
6 186
 
4.4%
0 177
 
4.2%
7 145
 
3.4%
Other values (13) 300
 
7.0%
Hangul
ValueCountFrequency (%)
산 554
 
9.0%
부 540
 
8.8%
동 539
 
8.8%
광 443
 
7.2%
시 438
 
7.1%
구 436
 
7.1%
역 435
 
7.1%
지 347
 
5.6%
번 324
 
5.3%
연 93
 
1.5%
Other values (194) 1999
32.5%

도로명전체주소
Text

MISSING 

Distinct378
Distinct (%)96.7%
Missing66
Missing (%)14.4%
Memory size3.7 KiB
2024-04-17T13:30:51.073667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length46
Mean length29.659847
Min length20

Characters and Unicode

Total characters11597
Distinct characters262
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

Unique365 ?
Unique (%)93.4%

Sample

1st row부산광역시 동구 중앙대로308번길 3-5 (초량동)
2nd row부산광역시 연제구 중앙대로 1130, 103동 706호 (연산동,연산 SK뷰)
3rd row부산광역시 해운대구 센텀중앙로 97, 센텀스카이비즈 (재송동)
4th row부산광역시 해운대구 재반로 71 (반여동)
5th row부산광역시 기장군 기장읍 차성로 281
ValueCountFrequency (%)
부산광역시 391
 
18.0%
부산진구 75
 
3.5%
동래구 48
 
2.2%
연제구 46
 
2.1%
남구 32
 
1.5%
북구 27
 
1.2%
동구 27
 
1.2%
연산동 25
 
1.2%
수영구 25
 
1.2%
사상구 25
 
1.2%
Other values (751) 1446
66.7%
2024-04-17T13:30:51.471105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1874
 
16.2%
동 546
 
4.7%
산 512
 
4.4%
부 499
 
4.3%
광 412
 
3.6%
시 407
 
3.5%
1 406
 
3.5%
구 397
 
3.4%
( 395
 
3.4%
역 393
 
3.4%
Other values (252) 5756
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6847
59.0%
Space Separator 1874
 
16.2%
Decimal Number 1824
 
15.7%
Open Punctuation 395
 
3.4%
Close Punctuation 392
 
3.4%
Other Punctuation 174
 
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 546
 
8.0%
산 512
 
7.5%
부 499
 
7.3%
광 412
 
6.0%
시 407
 
5.9%
구 397
 
5.8%
역 393
 
5.7%
로 386
 
5.6%
번 232
 
3.4%
길 232
 
3.4%
Other values (229) 2831
41.3%
Decimal Number
ValueCountFrequency (%)
1 406
22.3%
2 298
16.3%
3 183
10.0%
4 166
9.1%
6 149
 
8.2%
0 145
 
7.9%
5 135
 
7.4%
7 128
 
7.0%
8 116
 
6.4%
9 98
 
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 (%)
, 173
99.4%
/ 1
 
0.6%
Space Separator
ValueCountFrequency (%)
1874
100.0%
Open Punctuation
ValueCountFrequency (%)
( 395
100.0%
Close Punctuation
ValueCountFrequency (%)
) 392
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 76
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6847
59.0%
Common 4735
40.8%
Latin 15
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 546
 
8.0%
산 512
 
7.5%
부 499
 
7.3%
광 412
 
6.0%
시 407
 
5.9%
구 397
 
5.8%
역 393
 
5.7%
로 386
 
5.6%
번 232
 
3.4%
길 232
 
3.4%
Other values (229) 2831
41.3%
Common
ValueCountFrequency (%)
1874
39.6%
1 406
 
8.6%
( 395
 
8.3%
) 392
 
8.3%
2 298
 
6.3%
3 183
 
3.9%
, 173
 
3.7%
4 166
 
3.5%
6 149
 
3.1%
0 145
 
3.1%
Other values (6) 554
 
11.7%
Latin
ValueCountFrequency (%)
B 7
46.7%
A 2
 
13.3%
F 2
 
13.3%
b 1
 
6.7%
D 1
 
6.7%
K 1
 
6.7%
S 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6847
59.0%
ASCII 4750
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1874
39.5%
1 406
 
8.5%
( 395
 
8.3%
) 392
 
8.3%
2 298
 
6.3%
3 183
 
3.9%
, 173
 
3.6%
4 166
 
3.5%
6 149
 
3.1%
0 145
 
3.1%
Other values (13) 569
 
12.0%
Hangul
ValueCountFrequency (%)
동 546
 
8.0%
산 512
 
7.5%
부 499
 
7.3%
광 412
 
6.0%
시 407
 
5.9%
구 397
 
5.8%
역 393
 
5.7%
로 386
 
5.6%
번 232
 
3.4%
길 232
 
3.4%
Other values (229) 2831
41.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct80
Distinct (%)90.9%
Missing369
Missing (%)80.7%
Infinite0
Infinite (%)0.0%
Mean47540.625
Minimum46020
Maximum49524
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-04-17T13:30:51.591481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46020
5-th percentile46118.3
Q146564
median47563
Q348318
95-th percentile49387.4
Maximum49524
Range3504
Interquartile range (IQR)1754

Descriptive statistics

Standard deviation1014.7724
Coefficient of variation (CV)0.021345373
Kurtosis-0.8846156
Mean47540.625
Median Absolute Deviation (MAD)895
Skewness0.34008064
Sum4183575
Variance1029763
MonotonicityNot monotonic
2024-04-17T13:30:51.696844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46505 3
 
0.7%
46507 3
 
0.7%
47603 2
 
0.4%
46305 2
 
0.4%
49360 2
 
0.4%
48729 2
 
0.4%
48053 1
 
0.2%
47530 1
 
0.2%
47221 1
 
0.2%
47209 1
 
0.2%
Other values (70) 70
 
15.3%
(Missing) 369
80.7%
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%
46278 1
0.2%
46305 2
0.4%
ValueCountFrequency (%)
49524 1
0.2%
49511 1
0.2%
49428 1
0.2%
49416 1
0.2%
49400 1
0.2%
49364 1
0.2%
49360 2
0.4%
49324 1
0.2%
48924 1
0.2%
48796 1
0.2%

사업장명
Text

Distinct402
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2024-04-17T13:30:51.882970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length18
Mean length6.726477
Min length1

Characters and Unicode

Total characters3074
Distinct characters281
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique355 ?
Unique (%)77.7%

Sample

1st row(주)케이제이씨에스
2nd row(주)케이투 종합관리
3rd row대동녹지건설(주)
4th row가나용역(주)
5th row스쿨환경산업
ValueCountFrequency (%)
주식회사 19
 
3.8%
주)만비종합관리 4
 
0.8%
청수환경 3
 
0.6%
청수산업 3
 
0.6%
신광환경산업 3
 
0.6%
부일환경개발 3
 
0.6%
주)가가이엔지 3
 
0.6%
유한회사 3
 
0.6%
주 3
 
0.6%
주)대은기업 3
 
0.6%
Other values (409) 456
90.7%
2024-04-17T13:30:52.173266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 214
 
7.0%
) 190
 
6.2%
( 189
 
6.1%
경 152
 
4.9%
환 143
 
4.7%
업 89
 
2.9%
스 70
 
2.3%
산 70
 
2.3%
사 67
 
2.2%
종 51
 
1.7%
Other values (271) 1839
59.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2597
84.5%
Close Punctuation 190
 
6.2%
Open Punctuation 189
 
6.1%
Space Separator 46
 
1.5%
Uppercase Letter 23
 
0.7%
Lowercase Letter 13
 
0.4%
Other Punctuation 7
 
0.2%
Decimal Number 7
 
0.2%
Dash Punctuation 1
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 214
 
8.2%
경 152
 
5.9%
환 143
 
5.5%
업 89
 
3.4%
스 70
 
2.7%
산 70
 
2.7%
사 67
 
2.6%
종 51
 
2.0%
합 47
 
1.8%
대 45
 
1.7%
Other values (237) 1649
63.5%
Uppercase Letter
ValueCountFrequency (%)
T 3
13.0%
P 3
13.0%
N 3
13.0%
E 3
13.0%
C 3
13.0%
O 2
8.7%
G 1
 
4.3%
H 1
 
4.3%
R 1
 
4.3%
A 1
 
4.3%
Other values (2) 2
8.7%
Lowercase Letter
ValueCountFrequency (%)
o 2
15.4%
s 2
15.4%
t 2
15.4%
r 1
7.7%
n 1
7.7%
l 1
7.7%
c 1
7.7%
k 1
7.7%
e 1
7.7%
p 1
7.7%
Decimal Number
ValueCountFrequency (%)
0 2
28.6%
4 2
28.6%
1 1
14.3%
3 1
14.3%
2 1
14.3%
Other Punctuation
ValueCountFrequency (%)
. 5
71.4%
& 2
 
28.6%
Close Punctuation
ValueCountFrequency (%)
) 190
100.0%
Open Punctuation
ValueCountFrequency (%)
( 189
100.0%
Space Separator
ValueCountFrequency (%)
46
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2597
84.5%
Common 440
 
14.3%
Latin 36
 
1.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 214
 
8.2%
경 152
 
5.9%
환 143
 
5.5%
업 89
 
3.4%
스 70
 
2.7%
산 70
 
2.7%
사 67
 
2.6%
종 51
 
2.0%
합 47
 
1.8%
대 45
 
1.7%
Other values (237) 1649
63.5%
Latin
ValueCountFrequency (%)
T 3
 
8.3%
P 3
 
8.3%
N 3
 
8.3%
E 3
 
8.3%
C 3
 
8.3%
o 2
 
5.6%
O 2
 
5.6%
s 2
 
5.6%
t 2
 
5.6%
r 1
 
2.8%
Other values (12) 12
33.3%
Common
ValueCountFrequency (%)
) 190
43.2%
( 189
43.0%
46
 
10.5%
. 5
 
1.1%
& 2
 
0.5%
0 2
 
0.5%
4 2
 
0.5%
1 1
 
0.2%
3 1
 
0.2%
2 1
 
0.2%
Han
ValueCountFrequency (%)
人 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2596
84.5%
ASCII 476
 
15.5%
CJK 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 214
 
8.2%
경 152
 
5.9%
환 143
 
5.5%
업 89
 
3.4%
스 70
 
2.7%
산 70
 
2.7%
사 67
 
2.6%
종 51
 
2.0%
합 47
 
1.8%
대 45
 
1.7%
Other values (236) 1648
63.5%
ASCII
ValueCountFrequency (%)
) 190
39.9%
( 189
39.7%
46
 
9.7%
. 5
 
1.1%
T 3
 
0.6%
P 3
 
0.6%
N 3
 
0.6%
E 3
 
0.6%
C 3
 
0.6%
o 2
 
0.4%
Other values (23) 29
 
6.1%
CJK
ValueCountFrequency (%)
人 1
100.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

최종수정시점
Real number (ℝ)

Distinct267
Distinct (%)58.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.01718 × 1013
Minimum2.0150105 × 1013
Maximum2.0210331 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-04-17T13:30:52.283207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0150105 × 1013
5-th percentile2.0150105 × 1013
Q12.0150105 × 1013
median2.0160722 × 1013
Q32.0200421 × 1013
95-th percentile2.0210107 × 1013
Maximum2.0210331 × 1013
Range6.0225969 × 1010
Interquartile range (IQR)5.0315895 × 1010

Descriptive statistics

Standard deviation2.3214217 × 1010
Coefficient of variation (CV)0.0011508253
Kurtosis-1.6135301
Mean2.01718 × 1013
Median Absolute Deviation (MAD)1.0616945 × 1010
Skewness0.36611976
Sum9.2185125 × 1015
Variance5.3889986 × 1020
MonotonicityNot monotonic
2024-04-17T13:30:52.388167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20150105205851 33
 
7.2%
20150105205900 23
 
5.0%
20150105210006 21
 
4.6%
20150105210051 21
 
4.6%
20150105210037 17
 
3.7%
20150105205949 17
 
3.7%
20150105205753 15
 
3.3%
20150105210148 14
 
3.1%
20150105205826 14
 
3.1%
20150105205935 7
 
1.5%
Other values (257) 275
60.2%
ValueCountFrequency (%)
20150105205752 4
 
0.9%
20150105205753 15
3.3%
20150105205826 14
3.1%
20150105205842 7
 
1.5%
20150105205851 33
7.2%
20150105205900 23
5.0%
20150105205929 2
 
0.4%
20150105205935 7
 
1.5%
20150105205949 17
3.7%
20150105210006 21
4.6%
ValueCountFrequency (%)
20210331174720 1
0.2%
20210331174611 1
0.2%
20210331174523 1
0.2%
20210331174205 1
0.2%
20210329160346 1
0.2%
20210311173823 1
0.2%
20210308175703 1
0.2%
20210302095327 1
0.2%
20210220095907 1
0.2%
20210216173257 1
0.2%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
I
310 
U
147 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 310
67.8%
U 147
32.2%

Length

2024-04-17T13:30:52.485773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:30:52.550793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 310
67.8%
u 147
32.2%

데이터갱신일자
Date

Distinct105
Distinct (%)23.0%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
Minimum2018-08-31 23:59:59
Maximum2021-04-02 02:40:00
2024-04-17T13:30:52.635883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T13:30:52.744313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing457
Missing (%)100.0%
Memory size4.1 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct408
Distinct (%)91.5%
Missing11
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean387689.05
Minimum369071.6
Maximum405058.29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-04-17T13:30:52.851680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum369071.6
5-th percentile379491.22
Q1385384.11
median388299.96
Q3390395.31
95-th percentile393571.09
Maximum405058.29
Range35986.685
Interquartile range (IQR)5011.2003

Descriptive statistics

Standard deviation4993.2036
Coefficient of variation (CV)0.012879403
Kurtosis1.7025216
Mean387689.05
Median Absolute Deviation (MAD)2496.5834
Skewness-0.040139842
Sum1.7290932 × 108
Variance24932082
MonotonicityNot monotonic
2024-04-17T13:30:52.958493image/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%
388475.201251583 2
 
0.4%
384162.7621038 2
 
0.4%
381047.967630404 2
 
0.4%
389977.825463746 2
 
0.4%
388825.788637512 2
 
0.4%
387923.684453 2
 
0.4%
Other values (398) 421
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 

Distinct408
Distinct (%)91.5%
Missing11
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean187681.71
Minimum174140.92
Maximum205199.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-04-17T13:30:53.066857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174140.92
5-th percentile179508.92
Q1183981.76
median187818.91
Q3191068.61
95-th percentile197560.13
Maximum205199.82
Range31058.906
Interquartile range (IQR)7086.85

Descriptive statistics

Standard deviation5360.6329
Coefficient of variation (CV)0.028562361
Kurtosis0.02636525
Mean187681.71
Median Absolute Deviation (MAD)3555.3052
Skewness0.16566399
Sum83706044
Variance28736385
MonotonicityNot monotonic
2024-04-17T13:30:53.192179image/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%
190561.671937133 2
 
0.4%
180299.003265813 2
 
0.4%
186556.671260757 2
 
0.4%
182033.180511566 2
 
0.4%
184487.967513063 2
 
0.4%
186510.113119 2
 
0.4%
Other values (398) 421
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
457 

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 (%)
31 457
100.0%

Length

2024-04-17T13:30:53.310460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:30:53.392337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
31 457
100.0%

건축물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing457
Missing (%)100.0%
Memory size4.1 KiB

건축물연면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing457
Missing (%)100.0%
Memory size4.1 KiB

건축물상태명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing457
Missing (%)100.0%
Memory size4.1 KiB

청소대상시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing457
Missing (%)100.0%
Memory size4.1 KiB

청소대상종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing457
Missing (%)100.0%
Memory size4.1 KiB

휴업폐지사유
Text

MISSING 

Distinct100
Distinct (%)52.9%
Missing268
Missing (%)58.6%
Memory size3.7 KiB
2024-04-17T13:30:53.637561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length52
Mean length7.8201058
Min length2

Characters and Unicode

Total characters1478
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

Unique83 ?
Unique (%)43.9%

Sample

1st row사업장 이전으로 연제구 전출.
2nd row동구로 사업장 이전
3rd row해당사업 포기
4th row본사통합관계
5th row영업부진
ValueCountFrequency (%)
영업부진 53
 
16.0%
이전 21
 
6.3%
사업장 19
 
5.7%
폐업 15
 
4.5%
자진폐업 11
 
3.3%
사업부진 9
 
2.7%
부진 5
 
1.5%
인한 5
 
1.5%
등 5
 
1.5%
사업장폐쇄명령(2008.9.26 5
 
1.5%
Other values (141) 183
55.3%
2024-04-17T13:30:54.284210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
업 153
 
10.4%
142
 
9.6%
진 91
 
6.2%
부 84
 
5.7%
사 74
 
5.0%
영 72
 
4.9%
전 54
 
3.7%
이 48
 
3.2%
폐 41
 
2.8%
장 35
 
2.4%
Other values (144) 684
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1136
76.9%
Space Separator 142
 
9.6%
Decimal Number 105
 
7.1%
Close Punctuation 29
 
2.0%
Open 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 153
 
13.5%
진 91
 
8.0%
부 84
 
7.4%
사 74
 
6.5%
영 72
 
6.3%
전 54
 
4.8%
이 48
 
4.2%
폐 41
 
3.6%
장 35
 
3.1%
구 25
 
2.2%
Other values (126) 459
40.4%
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 (%)
142
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Open 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 1136
76.9%
Common 342
 
23.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 153
 
13.5%
진 91
 
8.0%
부 84
 
7.4%
사 74
 
6.5%
영 72
 
6.3%
전 54
 
4.8%
이 48
 
4.2%
폐 41
 
3.6%
장 35
 
3.1%
구 25
 
2.2%
Other values (126) 459
40.4%
Common
ValueCountFrequency (%)
142
41.5%
) 29
 
8.5%
( 29
 
8.5%
2 25
 
7.3%
. 24
 
7.0%
0 24
 
7.0%
6 12
 
3.5%
1 11
 
3.2%
8 8
 
2.3%
9 8
 
2.3%
Other values (8) 30
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1136
76.9%
ASCII 342
 
23.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
업 153
 
13.5%
진 91
 
8.0%
부 84
 
7.4%
사 74
 
6.5%
영 72
 
6.3%
전 54
 
4.8%
이 48
 
4.2%
폐 41
 
3.6%
장 35
 
3.1%
구 25
 
2.2%
Other values (126) 459
40.4%
ASCII
ValueCountFrequency (%)
142
41.5%
) 29
 
8.5%
( 29
 
8.5%
2 25
 
7.3%
. 24
 
7.0%
0 24
 
7.0%
6 12
 
3.5%
1 11
 
3.2%
8 8
 
2.3%
9 8
 
2.3%
Other values (8) 30
 
8.8%

업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
저수조청소업
457 

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 457
100.0%

Length

2024-04-17T13:30:54.395104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:30:54.474852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
저수조청소업 457
100.0%

Unnamed: 36
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing457
Missing (%)100.0%
Memory size4.1 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)업무구분건축물명건축물연면적건축물상태명청소대상시작일자청소대상종료일자휴업폐지사유업무구분명Unnamed: 36
01저수조청소업09_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>
12저수조청소업09_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>
23저수조청소업09_30_14_P333000033300003120180000120180308<NA>3폐업2폐업20201109<NA><NA><NA>051-853-7770<NA><NA>부산광역시 해운대구 재송동 1208-2 센텀스카이비즈부산광역시 해운대구 센텀중앙로 97, 센텀스카이비즈 (재송동)48058대동녹지건설(주)20201110153958U2020-11-12 02:40:00.0<NA>393503.395721188279.47483231<NA><NA><NA><NA><NA>해당사업 포기저수조청소업<NA>
34저수조청소업09_30_14_P333000033300003120110000220130109<NA>3폐업2폐업20130109<NA><NA><NA>051-722-7250<NA><NA>부산광역시 해운대구 좌동 1473-1번지 대림아크로텔 2404호<NA><NA>가나용역(주)20200106113021U2020-01-08 02:40:00.0<NA>398108.414171187646.0463231<NA><NA><NA><NA><NA>본사통합관계저수조청소업<NA>
45저수조청소업09_30_14_P333000033300003120050000220110603<NA>3폐업2폐업20110603<NA><NA><NA>526-8164<NA><NA>부산광역시 해운대구 반여동 692-9번지<NA><NA>스쿨환경산업20150105210148I2018-08-31 23:59:59.0<NA>392944.184128192130.27460331<NA><NA><NA><NA><NA>영업부진저수조청소업<NA>
56저수조청소업09_30_14_P333000033300003120030000520060502<NA>3폐업2폐업<NA><NA><NA><NA>784-2970<NA><NA>부산광역시 해운대구 재송동 1092-34번지<NA><NA>대봉환경20150105210148I2018-08-31 23:59:59.0<NA>393283.92059189492.04238931<NA><NA><NA><NA><NA>대표자 사망저수조청소업<NA>
67저수조청소업09_30_14_P333000033300003120030000320110621<NA>3폐업2폐업20110621<NA><NA><NA>784-6294<NA><NA>부산광역시 해운대구 반여동 862-17번지<NA><NA>혜성환경개발(주)20150105210148I2018-08-31 23:59:59.0<NA>393431.923798192024.96113431<NA><NA><NA><NA><NA>영업부진저수조청소업<NA>
78저수조청소업09_30_14_P333000033300003120030000220110621<NA>3폐업2폐업20101116<NA><NA><NA>051-704-0708<NA><NA>부산광역시 해운대구 송정동 198-3번지<NA><NA>대신실업20150105210148I2018-08-31 23:59:59.0<NA>400580.015961189425.50860831<NA><NA><NA><NA><NA>면허세체납에 따른 저수조청소업 면허취소저수조청소업<NA>
89저수조청소업09_30_14_P333000033300003120030000120110621<NA>3폐업2폐업20110621<NA><NA><NA>051-782-0045<NA><NA>부산광역시 해운대구 재송동 1107-4번지<NA><NA>극동용역20150105210148I2018-08-31 23:59:59.0<NA>393393.415396189281.30665231<NA><NA><NA><NA><NA>영업부진저수조청소업<NA>
910저수조청소업09_30_14_P333000033300003120060000120111121<NA>3폐업2폐업20190208<NA><NA><NA>051-783-0757<NA><NA>부산광역시 해운대구 재송동 1117-32번지 2층부산광역시 해운대구 재반로 71 (반여동)<NA>(주)청진시스템20190208073815U2019-02-10 02:40:00.0<NA>393572.102951189373.28438831<NA><NA><NA><NA><NA>영업부진저수조청소업<NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)업무구분건축물명건축물연면적건축물상태명청소대상시작일자청소대상종료일자휴업폐지사유업무구분명Unnamed: 36
447448저수조청소업09_30_14_P330000033000003120040000520071214<NA>1영업/정상11정상<NA><NA><NA><NA>051)524-7234<NA><NA>부산광역시 동래구 안락동 802-19부산광역시 동래구 충렬대로321번길 7-3 (안락동)47755(주)창성티앤씨20210331174720U2021-04-02 02:40:00.0<NA>391263.6758190868.11287131<NA><NA><NA><NA><NA><NA>저수조청소업<NA>
448449저수조청소업09_30_14_P330000033000003120210000120210331<NA>1영업/정상11정상<NA><NA><NA><NA>051)502-1369<NA><NA>부산광역시 동래구 사직동 132-1부산광역시 동래구 여고로 66, 현대빌딩 403호 (사직동)47845대세환경산업20210331174205I2021-04-02 00:22:59.0<NA>388554.681298190500.85075631<NA><NA><NA><NA><NA><NA>저수조청소업<NA>
449450저수조청소업09_30_14_P330000033000003120200000220200902<NA>1영업/정상11정상<NA><NA><NA><NA><NA><NA><NA>부산광역시 동래구 복천동 153부산광역시 동래구 복천로 20-1 (복천동)47802청수산업20210331174523U2021-04-02 02:40:00.0<NA>390089.24308191591.13695231<NA><NA><NA><NA><NA><NA>저수조청소업<NA>
450451저수조청소업09_30_14_P330000033000003120200000120200331<NA>1영업/정상11정상<NA><NA><NA><NA>051)851-0950<NA><NA>부산광역시 동래구 온천동 1143-5번지 (주)현대용역부산광역시 동래구 쇠미로217번길 48 (주)현대용역 (온천동)47718(주)현대용역20200331174026I2020-04-02 00:23:32.0<NA>387731.89116192138.17014931<NA><NA><NA><NA><NA>소재지 이전(연제구)에 따른 변경저수조청소업<NA>
451452저수조청소업09_30_14_P325000032500003120060000220071226<NA>1영업/정상11정상<NA><NA><NA><NA>051-462-7127<NA><NA>부산광역시 중구 영주동 2-310번지 동남파크상가 4호<NA><NA>그린산업20150105210131I2018-08-31 23:59:59.0<NA>385254.506401181485.24954631<NA><NA><NA><NA><NA><NA>저수조청소업<NA>
452453저수조청소업09_30_14_P325000032500003120060000120071206<NA>1영업/정상11정상<NA><NA><NA><NA>051-468-8594<NA><NA>부산광역시 중구 대창동2가 33-1번지 청조빌딩 4층 501호<NA><NA>강남종합환경20150105210131I2018-08-31 23:59:59.0<NA>385651.871634180892.47492831<NA><NA><NA><NA><NA><NA>저수조청소업<NA>
453454저수조청소업09_30_14_P325000032500003119970000120091201<NA>1영업/정상11정상<NA><NA><NA><NA>051-465-7019<NA><NA>부산광역시 중구 중앙동4가 80-16번지 화신빌딩 607호부산광역시 중구 충장대로9번길 28 (중앙동4가)<NA>동화산업사20170720093718I2018-08-31 23:59:59.0<NA>385730.223219180633.14212931<NA><NA><NA><NA><NA><NA>저수조청소업<NA>
454455저수조청소업09_30_14_P325000032500003120160000120171206<NA>1영업/정상11정상<NA><NA><NA><NA>(051)203-2993<NA><NA>부산광역시 중구 중앙동4가 36-14번지부산광역시 중구 해관로 65 (중앙동4가)<NA>(주)승학피엠씨20171206161555I2018-08-31 23:59:59.0<NA>385502.49232180297.57933131<NA><NA><NA><NA><NA><NA>저수조청소업<NA>
455456저수조청소업09_30_14_P325000032500003120140000120140113<NA>1영업/정상11정상<NA><NA><NA><NA>465-8548<NA><NA><NA>부산광역시 중구 중앙대로 139 (대창동2가)<NA>강남환경공사20150105210131I2018-08-31 23:59:59.0<NA>385651.871634180892.47492831<NA><NA><NA><NA><NA><NA>저수조청소업<NA>
456457저수조청소업09_30_14_P325000032500003120200000120200320<NA>1영업/정상11정상<NA><NA><NA><NA>051-714-3775<NA><NA>부산광역시 중구 대창동2가 33-1번지 청조빌딩 501-1호부산광역시 중구 중앙대로 139, 청조빌딩 501-1호 (대창동2가)48924에코원20200327150152I2020-03-29 00:23:21.0<NA>385651.871634180892.47492831<NA><NA><NA><NA><NA><NA>저수조청소업<NA>