Overview

Dataset statistics

Number of variables37
Number of observations450
Missing cells6115
Missing cells (%)36.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory141.2 KiB
Average record size in memory321.3 B

Variable types

Numeric9
Categorical11
Unsupported11
Text5
DateTime1

Dataset

Description2021-02-01
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 450 (100.0%) missing valuesMissing
폐업일자 has 329 (73.1%) missing valuesMissing
재개업일자 has 450 (100.0%) missing valuesMissing
소재지전화 has 87 (19.3%) missing valuesMissing
소재지면적 has 450 (100.0%) missing valuesMissing
소재지우편번호 has 450 (100.0%) missing valuesMissing
소재지전체주소 has 24 (5.3%) missing valuesMissing
도로명전체주소 has 66 (14.7%) missing valuesMissing
도로명우편번호 has 373 (82.9%) missing valuesMissing
업태구분명 has 450 (100.0%) missing valuesMissing
좌표정보(x) has 11 (2.4%) missing valuesMissing
좌표정보(y) has 11 (2.4%) missing valuesMissing
건축물명 has 450 (100.0%) missing valuesMissing
건축물연면적 has 450 (100.0%) missing valuesMissing
건축물상태명 has 450 (100.0%) missing valuesMissing
청소대상시작일자 has 450 (100.0%) missing valuesMissing
청소대상종료일자 has 450 (100.0%) missing valuesMissing
휴업폐지사유 has 264 (58.7%) missing valuesMissing
Unnamed: 36 has 450 (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 04:31:13.898957
Analysis finished2024-04-17 04:31:14.464808
Duration0.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct450
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean225.5
Minimum1
Maximum450
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-04-17T13:31:14.523386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile23.45
Q1113.25
median225.5
Q3337.75
95-th percentile427.55
Maximum450
Range449
Interquartile range (IQR)224.5

Descriptive statistics

Standard deviation130.04807
Coefficient of variation (CV)0.57670984
Kurtosis-1.2
Mean225.5
Median Absolute Deviation (MAD)112.5
Skewness0
Sum101475
Variance16912.5
MonotonicityStrictly increasing
2024-04-17T13:31:14.627076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
339 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%
303 1
 
0.2%
302 1
 
0.2%
Other values (440) 440
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 (%)
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%
443 1
0.2%
442 1
0.2%
441 1
0.2%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
저수조청소업
450 

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 450
100.0%

Length

2024-04-17T13:31:14.721956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:31:14.792326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
저수조청소업 450
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
09_30_14_P
450 

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 450
100.0%

Length

2024-04-17T13:31:14.867220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:31:15.175216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_30_14_p 450
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3325711.1
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-04-17T13:31:15.245092image/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 deviation39944.908
Coefficient of variation (CV)0.012010937
Kurtosis-1.0596661
Mean3325711.1
Median Absolute Deviation (MAD)30000
Skewness0.14532943
Sum1.49657 × 109
Variance1.5955956 × 109
MonotonicityNot monotonic
2024-04-17T13:31:15.333852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3290000 77
17.1%
3300000 50
11.1%
3370000 45
10.0%
3350000 37
8.2%
3340000 36
8.0%
3310000 32
7.1%
3270000 28
 
6.2%
3320000 28
 
6.2%
3380000 26
 
5.8%
3390000 25
 
5.6%
Other values (6) 66
14.7%
ValueCountFrequency (%)
3250000 11
 
2.4%
3260000 9
 
2.0%
3270000 28
 
6.2%
3280000 3
 
0.7%
3290000 77
17.1%
3300000 50
11.1%
3310000 32
7.1%
3320000 28
 
6.2%
3330000 20
 
4.4%
3340000 36
8.0%
ValueCountFrequency (%)
3400000 13
 
2.9%
3390000 25
5.6%
3380000 26
5.8%
3370000 45
10.0%
3360000 10
 
2.2%
3350000 37
8.2%
3340000 36
8.0%
3330000 20
4.4%
3320000 28
6.2%
3310000 32
7.1%

관리번호
Real number (ℝ)

UNIQUE 

Distinct450
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3257114 × 1017
Minimum3.2500003 × 1017
Maximum3.4000003 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-04-17T13:31:15.441507image/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 deviation3.9944908 × 1015
Coefficient of variation (CV)0.012010936
Kurtosis-1.0596661
Mean3.3257114 × 1017
Median Absolute Deviation (MAD)3 × 1015
Skewness0.14532943
Sum2.0830615 × 1018
Variance1.5955956 × 1031
MonotonicityNot monotonic
2024-04-17T13:31:15.554849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
337000031200400003 1
 
0.2%
327000031201200003 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%
331000031202000001 1
 
0.2%
331000031202000003 1
 
0.2%
Other values (440) 440
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)

Distinct389
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20113866
Minimum19941029
Maximum20201203
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-04-17T13:31:15.667751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19941029
5-th percentile20035226
Q120071227
median20110868
Q320160122
95-th percentile20200212
Maximum20201203
Range260174
Interquartile range (IQR)88894.75

Descriptive statistics

Standard deviation53789.342
Coefficient of variation (CV)0.0026742418
Kurtosis0.18097698
Mean20113866
Median Absolute Deviation (MAD)39653.5
Skewness-0.38212035
Sum9.0512397 × 109
Variance2.8932933 × 109
MonotonicityNot monotonic
2024-04-17T13:31:15.780742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20090128 5
 
1.1%
20071126 4
 
0.9%
20071228 4
 
0.9%
20071227 4
 
0.9%
20120118 4
 
0.9%
20080107 4
 
0.9%
20071214 3
 
0.7%
20110621 3
 
0.7%
20071224 3
 
0.7%
20071231 3
 
0.7%
Other values (379) 413
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 (%)
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%
20200710 1
0.2%
20200630 1
0.2%
20200608 1
0.2%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing450
Missing (%)100.0%
Memory size4.1 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
1
258 
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 (%)
1 258
57.3%
3 188
41.8%
4 2
 
0.4%
2 2
 
0.4%

Length

2024-04-17T13:31:15.878038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:31:15.959308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 258
57.3%
3 188
41.8%
4 2
 
0.4%
2 2
 
0.4%

영업상태명
Categorical

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
영업/정상
258 
폐업
188 
취소/말소/만료/정지/중지
 
2
휴업
 
2

Length

Max length14
Median length5
Mean length3.7733333
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 258
57.3%
폐업 188
41.8%
취소/말소/만료/정지/중지 2
 
0.4%
휴업 2
 
0.4%

Length

2024-04-17T13:31:16.050138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:31:16.135988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 258
57.3%
폐업 188
41.8%
취소/말소/만료/정지/중지 2
 
0.4%
휴업 2
 
0.4%

상세영업상태코드
Categorical

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
11
258 
2
188 
4
 
2
1
 
2

Length

Max length2
Median length2
Mean length1.5733333
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
11 258
57.3%
2 188
41.8%
4 2
 
0.4%
1 2
 
0.4%

Length

2024-04-17T13:31:16.226587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:31:16.311313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11 258
57.3%
2 188
41.8%
4 2
 
0.4%
1 2
 
0.4%

상세영업상태명
Categorical

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
정상
258 
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 258
57.3%
폐업 188
41.8%
폐쇄 2
 
0.4%
휴업 2
 
0.4%

Length

2024-04-17T13:31:16.397019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:31:16.479253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 258
57.3%
폐업 188
41.8%
폐쇄 2
 
0.4%
휴업 2
 
0.4%

폐업일자
Real number (ℝ)

MISSING 

Distinct112
Distinct (%)92.6%
Missing329
Missing (%)73.1%
Infinite0
Infinite (%)0.0%
Mean20140809
Minimum20030414
Maximum20201211
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-04-17T13:31:16.574333image/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
2024-04-17T13:31:16.687940image/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
 
22.7%
(Missing) 329
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 (%)
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 size3.6 KiB
<NA>
448 
20201201
 
1
20130801
 
1

Length

Max length8
Median length4
Mean length4.0177778
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> 448
99.6%
20201201 1
 
0.2%
20130801 1
 
0.2%

Length

2024-04-17T13:31:16.797834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:31:16.886892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 448
99.6%
20201201 1
 
0.2%
20130801 1
 
0.2%

휴업종료일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
448 
20211130
 
1
20161231
 
1

Length

Max length8
Median length4
Mean length4.0177778
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> 448
99.6%
20211130 1
 
0.2%
20161231 1
 
0.2%

Length

2024-04-17T13:31:16.976206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:31:17.065911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 448
99.6%
20211130 1
 
0.2%
20161231 1
 
0.2%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing450
Missing (%)100.0%
Memory size4.1 KiB

소재지전화
Text

MISSING 

Distinct346
Distinct (%)95.3%
Missing87
Missing (%)19.3%
Memory size3.6 KiB
2024-04-17T13:31:17.286357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length10.661157
Min length6

Characters and Unicode

Total characters3870
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

Unique331 ?
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%
051-722-7250 2
 
0.6%
554-5775 2
 
0.6%
051-529-3775 2
 
0.6%
051-316-4161~2 2
 
0.6%
051-507-6071 2
 
0.6%
806-7844 2
 
0.6%
051-265-2022 2
 
0.6%
622-7788 2
 
0.6%
Other values (336) 341
93.9%
2024-04-17T13:31:17.631829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 536
13.9%
0 529
13.7%
5 522
13.5%
1 498
12.9%
3 279
7.2%
6 279
7.2%
2 258
6.7%
8 256
6.6%
4 241
6.2%
7 240
6.2%
Other values (5) 232
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3261
84.3%
Dash Punctuation 536
 
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 (%)
0 529
16.2%
5 522
16.0%
1 498
15.3%
3 279
8.6%
6 279
8.6%
2 258
7.9%
8 256
7.9%
4 241
7.4%
7 240
7.4%
9 159
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 536
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 3870
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 536
13.9%
0 529
13.7%
5 522
13.5%
1 498
12.9%
3 279
7.2%
6 279
7.2%
2 258
6.7%
8 256
6.6%
4 241
6.2%
7 240
6.2%
Other values (5) 232
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3870
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 536
13.9%
0 529
13.7%
5 522
13.5%
1 498
12.9%
3 279
7.2%
6 279
7.2%
2 258
6.7%
8 256
6.6%
4 241
6.2%
7 240
6.2%
Other values (5) 232
6.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing450
Missing (%)100.0%
Memory size4.1 KiB

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing450
Missing (%)100.0%
Memory size4.1 KiB

소재지전체주소
Text

MISSING 

Distinct415
Distinct (%)97.4%
Missing24
Missing (%)5.3%
Memory size3.6 KiB
2024-04-17T13:31:17.854285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length40
Mean length24.053991
Min length12

Characters and Unicode

Total characters10247
Distinct characters220
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

Unique404 ?
Unique (%)94.8%

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 426
 
21.9%
부산진구 77
 
4.0%
동래구 49
 
2.5%
연제구 43
 
2.2%
금정구 35
 
1.8%
사하구 32
 
1.6%
남구 29
 
1.5%
북구 28
 
1.4%
연산동 27
 
1.4%
동구 25
 
1.3%
Other values (655) 1176
60.4%
2024-04-17T13:31:18.170253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1535
 
15.0%
산 546
 
5.3%
부 531
 
5.2%
동 530
 
5.2%
1 487
 
4.8%
광 436
 
4.3%
시 431
 
4.2%
역 428
 
4.2%
구 428
 
4.2%
- 398
 
3.9%
Other values (210) 4497
43.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6059
59.1%
Decimal Number 2206
 
21.5%
Space Separator 1535
 
15.0%
Dash Punctuation 398
 
3.9%
Open Punctuation 14
 
0.1%
Close Punctuation 14
 
0.1%
Uppercase Letter 13
 
0.1%
Other Punctuation 7
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 546
 
9.0%
부 531
 
8.8%
동 530
 
8.7%
광 436
 
7.2%
시 431
 
7.1%
역 428
 
7.1%
구 428
 
7.1%
지 358
 
5.9%
번 335
 
5.5%
연 92
 
1.5%
Other values (187) 1944
32.1%
Decimal Number
ValueCountFrequency (%)
1 487
22.1%
2 300
13.6%
3 272
12.3%
4 208
9.4%
5 195
8.8%
6 182
 
8.3%
0 176
 
8.0%
7 140
 
6.3%
8 133
 
6.0%
9 113
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
B 7
53.8%
F 2
 
15.4%
S 1
 
7.7%
K 1
 
7.7%
D 1
 
7.7%
A 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 6
85.7%
/ 1
 
14.3%
Space Separator
ValueCountFrequency (%)
1535
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 398
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6059
59.1%
Common 4174
40.7%
Latin 14
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 546
 
9.0%
부 531
 
8.8%
동 530
 
8.7%
광 436
 
7.2%
시 431
 
7.1%
역 428
 
7.1%
구 428
 
7.1%
지 358
 
5.9%
번 335
 
5.5%
연 92
 
1.5%
Other values (187) 1944
32.1%
Common
ValueCountFrequency (%)
1535
36.8%
1 487
 
11.7%
- 398
 
9.5%
2 300
 
7.2%
3 272
 
6.5%
4 208
 
5.0%
5 195
 
4.7%
6 182
 
4.4%
0 176
 
4.2%
7 140
 
3.4%
Other values (6) 281
 
6.7%
Latin
ValueCountFrequency (%)
B 7
50.0%
F 2
 
14.3%
b 1
 
7.1%
S 1
 
7.1%
K 1
 
7.1%
D 1
 
7.1%
A 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6059
59.1%
ASCII 4188
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1535
36.7%
1 487
 
11.6%
- 398
 
9.5%
2 300
 
7.2%
3 272
 
6.5%
4 208
 
5.0%
5 195
 
4.7%
6 182
 
4.3%
0 176
 
4.2%
7 140
 
3.3%
Other values (13) 295
 
7.0%
Hangul
ValueCountFrequency (%)
산 546
 
9.0%
부 531
 
8.8%
동 530
 
8.7%
광 436
 
7.2%
시 431
 
7.1%
역 428
 
7.1%
구 428
 
7.1%
지 358
 
5.9%
번 335
 
5.5%
연 92
 
1.5%
Other values (187) 1944
32.1%

도로명전체주소
Text

MISSING 

Distinct371
Distinct (%)96.6%
Missing66
Missing (%)14.7%
Memory size3.6 KiB
2024-04-17T13:31:18.411533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length45
Mean length29.507812
Min length20

Characters and Unicode

Total characters11331
Distinct characters253
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

Unique358 ?
Unique (%)93.2%

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 384
 
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%
연산동 25
 
1.2%
수영구 25
 
1.2%
사상구 23
 
1.1%
Other values (735) 1407
66.5%
2024-04-17T13:31:18.762457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1834
 
16.2%
동 534
 
4.7%
산 504
 
4.4%
부 490
 
4.3%
광 404
 
3.6%
시 400
 
3.5%
1 397
 
3.5%
구 389
 
3.4%
역 386
 
3.4%
( 386
 
3.4%
Other values (243) 5607
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6691
59.1%
Space Separator 1834
 
16.2%
Decimal Number 1780
 
15.7%
Open Punctuation 386
 
3.4%
Close Punctuation 383
 
3.4%
Other Punctuation 166
 
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 534
 
8.0%
산 504
 
7.5%
부 490
 
7.3%
광 404
 
6.0%
시 400
 
6.0%
구 389
 
5.8%
역 386
 
5.8%
로 379
 
5.7%
번 229
 
3.4%
길 229
 
3.4%
Other values (220) 2747
41.1%
Decimal Number
ValueCountFrequency (%)
1 397
22.3%
2 295
16.6%
3 180
10.1%
4 160
9.0%
6 144
 
8.1%
0 142
 
8.0%
5 133
 
7.5%
7 123
 
6.9%
8 111
 
6.2%
9 95
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
B 7
50.0%
A 2
 
14.3%
F 2
 
14.3%
S 1
 
7.1%
K 1
 
7.1%
D 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
, 165
99.4%
/ 1
 
0.6%
Space Separator
ValueCountFrequency (%)
1834
100.0%
Open Punctuation
ValueCountFrequency (%)
( 386
100.0%
Close Punctuation
ValueCountFrequency (%)
) 383
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 76
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6691
59.1%
Common 4625
40.8%
Latin 15
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 534
 
8.0%
산 504
 
7.5%
부 490
 
7.3%
광 404
 
6.0%
시 400
 
6.0%
구 389
 
5.8%
역 386
 
5.8%
로 379
 
5.7%
번 229
 
3.4%
길 229
 
3.4%
Other values (220) 2747
41.1%
Common
ValueCountFrequency (%)
1834
39.7%
1 397
 
8.6%
( 386
 
8.3%
) 383
 
8.3%
2 295
 
6.4%
3 180
 
3.9%
, 165
 
3.6%
4 160
 
3.5%
6 144
 
3.1%
0 142
 
3.1%
Other values (6) 539
 
11.7%
Latin
ValueCountFrequency (%)
B 7
46.7%
A 2
 
13.3%
F 2
 
13.3%
S 1
 
6.7%
K 1
 
6.7%
D 1
 
6.7%
b 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6691
59.1%
ASCII 4640
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1834
39.5%
1 397
 
8.6%
( 386
 
8.3%
) 383
 
8.3%
2 295
 
6.4%
3 180
 
3.9%
, 165
 
3.6%
4 160
 
3.4%
6 144
 
3.1%
0 142
 
3.1%
Other values (13) 554
 
11.9%
Hangul
ValueCountFrequency (%)
동 534
 
8.0%
산 504
 
7.5%
부 490
 
7.3%
광 404
 
6.0%
시 400
 
6.0%
구 389
 
5.8%
역 386
 
5.8%
로 379
 
5.7%
번 229
 
3.4%
길 229
 
3.4%
Other values (220) 2747
41.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct69
Distinct (%)89.6%
Missing373
Missing (%)82.9%
Infinite0
Infinite (%)0.0%
Mean47579.922
Minimum46020
Maximum49524
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-04-17T13:31:18.870642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46020
5-th percentile46068.6
Q146546
median47578
Q348409
95-th percentile49403.2
Maximum49524
Range3504
Interquartile range (IQR)1863

Descriptive statistics

Standard deviation1032.2189
Coefficient of variation (CV)0.021694421
Kurtosis-0.98832268
Mean47579.922
Median Absolute Deviation (MAD)948
Skewness0.24397998
Sum3663654
Variance1065475.8
MonotonicityNot monotonic
2024-04-17T13:31:18.978173image/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%
48232 1
 
0.2%
46233 1
 
0.2%
46271 1
 
0.2%
Other values (59) 59
 
13.1%
(Missing) 373
82.9%
ValueCountFrequency (%)
46020 1
0.2%
46033 1
0.2%
46055 1
0.2%
46063 1
0.2%
46070 1
0.2%
46233 1
0.2%
46271 1
0.2%
46305 2
0.4%
46319 1
0.2%
46322 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

Distinct395
Distinct (%)87.8%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2024-04-17T13:31:19.176600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length18
Mean length6.7244444
Min length1

Characters and Unicode

Total characters3026
Distinct characters277
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

Unique348 ?
Unique (%)77.3%

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%
부일환경개발 3
 
0.6%
주 3
 
0.6%
주)가가이엔지 3
 
0.6%
유한회사 3
 
0.6%
청수환경 3
 
0.6%
주)대은기업 3
 
0.6%
청수산업 3
 
0.6%
신광환경산업 3
 
0.6%
Other values (401) 447
90.5%
2024-04-17T13:31:19.481641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 212
 
7.0%
) 188
 
6.2%
( 187
 
6.2%
경 148
 
4.9%
환 140
 
4.6%
업 87
 
2.9%
스 69
 
2.3%
산 68
 
2.2%
사 66
 
2.2%
종 51
 
1.7%
Other values (267) 1810
59.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2555
84.4%
Close Punctuation 188
 
6.2%
Open Punctuation 187
 
6.2%
Space Separator 44
 
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 212
 
8.3%
경 148
 
5.8%
환 140
 
5.5%
업 87
 
3.4%
스 69
 
2.7%
산 68
 
2.7%
사 66
 
2.6%
종 51
 
2.0%
합 47
 
1.8%
이 44
 
1.7%
Other values (233) 1623
63.5%
Uppercase Letter
ValueCountFrequency (%)
P 3
13.0%
N 3
13.0%
T 3
13.0%
E 3
13.0%
C 3
13.0%
O 2
8.7%
R 1
 
4.3%
H 1
 
4.3%
S 1
 
4.3%
A 1
 
4.3%
Other values (2) 2
8.7%
Lowercase Letter
ValueCountFrequency (%)
o 2
15.4%
t 2
15.4%
s 2
15.4%
k 1
7.7%
l 1
7.7%
r 1
7.7%
n 1
7.7%
c 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%
1 1
14.3%
3 1
14.3%
Other Punctuation
ValueCountFrequency (%)
. 5
71.4%
& 2
 
28.6%
Close Punctuation
ValueCountFrequency (%)
) 188
100.0%
Open Punctuation
ValueCountFrequency (%)
( 187
100.0%
Space Separator
ValueCountFrequency (%)
44
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2556
84.5%
Common 434
 
14.3%
Latin 36
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 212
 
8.3%
경 148
 
5.8%
환 140
 
5.5%
업 87
 
3.4%
스 69
 
2.7%
산 68
 
2.7%
사 66
 
2.6%
종 51
 
2.0%
합 47
 
1.8%
이 44
 
1.7%
Other values (234) 1624
63.5%
Latin
ValueCountFrequency (%)
P 3
 
8.3%
N 3
 
8.3%
T 3
 
8.3%
E 3
 
8.3%
C 3
 
8.3%
O 2
 
5.6%
o 2
 
5.6%
t 2
 
5.6%
s 2
 
5.6%
R 1
 
2.8%
Other values (12) 12
33.3%
Common
ValueCountFrequency (%)
) 188
43.3%
( 187
43.1%
44
 
10.1%
. 5
 
1.2%
0 2
 
0.5%
4 2
 
0.5%
& 2
 
0.5%
- 1
 
0.2%
2 1
 
0.2%
1 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2555
84.4%
ASCII 470
 
15.5%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 212
 
8.3%
경 148
 
5.8%
환 140
 
5.5%
업 87
 
3.4%
스 69
 
2.7%
산 68
 
2.7%
사 66
 
2.6%
종 51
 
2.0%
합 47
 
1.8%
이 44
 
1.7%
Other values (233) 1623
63.5%
ASCII
ValueCountFrequency (%)
) 188
40.0%
( 187
39.8%
44
 
9.4%
. 5
 
1.1%
P 3
 
0.6%
N 3
 
0.6%
T 3
 
0.6%
E 3
 
0.6%
C 3
 
0.6%
O 2
 
0.4%
Other values (23) 29
 
6.2%
None
ValueCountFrequency (%)
㈜ 1
100.0%

최종수정시점
Real number (ℝ)

Distinct255
Distinct (%)56.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0170002 × 1013
Minimum2.0150105 × 1013
Maximum2.0201223 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-04-17T13:31:19.601272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0150105 × 1013
5-th percentile2.0150105 × 1013
Q12.0150105 × 1013
median2.016036 × 1013
Q32.0191127 × 1013
95-th percentile2.0201213 × 1013
Maximum2.0201223 × 1013
Range5.1117957 × 1010
Interquartile range (IQR)4.1021946 × 1010

Descriptive statistics

Standard deviation2.1919545 × 1010
Coefficient of variation (CV)0.0010867398
Kurtosis-1.6247272
Mean2.0170002 × 1013
Median Absolute Deviation (MAD)1.0254909 × 1010
Skewness0.40603446
Sum9.076501 × 1015
Variance4.8046644 × 1020
MonotonicityNot monotonic
2024-04-17T13:31:19.723007image/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 23
 
5.1%
20150105210006 21
 
4.7%
20150105205949 19
 
4.2%
20150105210037 17
 
3.8%
20150105205753 15
 
3.3%
20150105210148 14
 
3.1%
20150105205826 14
 
3.1%
20150105205842 7
 
1.6%
Other values (245) 263
58.4%
ValueCountFrequency (%)
20150105205752 4
 
0.9%
20150105205753 15
3.3%
20150105205826 14
3.1%
20150105205842 7
 
1.6%
20150105205851 33
7.3%
20150105205900 24
5.3%
20150105205929 2
 
0.4%
20150105205935 7
 
1.6%
20150105205949 19
4.2%
20150105210006 21
4.7%
ValueCountFrequency (%)
20201223162540 1
0.2%
20201218122703 1
0.2%
20201218122618 1
0.2%
20201218122543 1
0.2%
20201218105706 1
0.2%
20201218105631 1
0.2%
20201218105530 1
0.2%
20201218105452 1
0.2%
20201218105417 1
0.2%
20201218105337 1
0.2%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
I
313 
U
137 

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 313
69.6%
U 137
30.4%

Length

2024-04-17T13:31:19.832420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:31:19.921286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 313
69.6%
u 137
30.4%

데이터갱신일자
Date

Distinct95
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
Minimum2018-08-31 23:59:59
Maximum2020-12-25 02:40:00
2024-04-17T13:31:20.005911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T13:31:20.115673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing450
Missing (%)100.0%
Memory size4.1 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct402
Distinct (%)91.6%
Missing11
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean387710.07
Minimum369071.6
Maximum405058.29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-04-17T13:31:20.226545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum369071.6
5-th percentile379461.77
Q1385460.45
median388289.84
Q3390407.47
95-th percentile393575.49
Maximum405058.29
Range35986.685
Interquartile range (IQR)4947.0192

Descriptive statistics

Standard deviation5000.341
Coefficient of variation (CV)0.012897114
Kurtosis1.7324051
Mean387710.07
Median Absolute Deviation (MAD)2472.4493
Skewness-0.041554906
Sum1.7020472 × 108
Variance25003410
MonotonicityNot monotonic
2024-04-17T13:31:20.584975image/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%
382734.03719127 2
 
0.4%
Other values (392) 414
92.0%
(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 

Distinct402
Distinct (%)91.6%
Missing11
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean187650.79
Minimum174140.92
Maximum205199.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-04-17T13:31:20.714912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174140.92
5-th percentile179523.72
Q1183976.26
median187799.99
Q3191063.29
95-th percentile197560.13
Maximum205199.82
Range31058.906
Interquartile range (IQR)7087.0283

Descriptive statistics

Standard deviation5326.4472
Coefficient of variation (CV)0.028384891
Kurtosis0.0046586151
Mean187650.79
Median Absolute Deviation (MAD)3550.6776
Skewness0.1452973
Sum82378697
Variance28371039
MonotonicityNot monotonic
2024-04-17T13:31:20.818573image/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%
190624.868664197 2
 
0.4%
Other values (392) 414
92.0%
(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%
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%
198380.703476631 1
0.2%

업무구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
31
450 

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 (%)
31 450
100.0%

Length

2024-04-17T13:31:20.929107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:31:21.004130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
31 450
100.0%

건축물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing450
Missing (%)100.0%
Memory size4.1 KiB

건축물연면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing450
Missing (%)100.0%
Memory size4.1 KiB

건축물상태명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing450
Missing (%)100.0%
Memory size4.1 KiB

청소대상시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing450
Missing (%)100.0%
Memory size4.1 KiB

청소대상종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing450
Missing (%)100.0%
Memory size4.1 KiB

휴업폐지사유
Text

MISSING 

Distinct98
Distinct (%)52.7%
Missing264
Missing (%)58.7%
Memory size3.6 KiB
2024-04-17T13:31:21.174539image/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%
2024-04-17T13:31:21.476730image/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 size3.6 KiB
저수조청소업
450 

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 450
100.0%

Length

2024-04-17T13:31:21.579259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:31:21.661431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
저수조청소업 450
100.0%

Unnamed: 36
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing450
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
440441저수조청소업09_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>
441442저수조청소업09_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>
442443저수조청소업09_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>
443444저수조청소업09_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>
444445저수조청소업09_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>
445446저수조청소업09_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>
446447저수조청소업09_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>
447448저수조청소업09_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>
448449저수조청소업09_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>
449450저수조청소업09_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>