Overview

Dataset statistics

Number of variables38
Number of observations131
Missing cells1288
Missing cells (%)25.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory42.1 KiB
Average record size in memory329.0 B

Variable types

Numeric10
Categorical14
Text5
Unsupported8
DateTime1

Dataset

Description2021-06-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123172

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
문화체육업종명 has constant value ""Constant
공사립구분명 has constant value ""Constant
휴업시작일자 is highly imbalanced (93.5%)Imbalance
휴업종료일자 is highly imbalanced (93.5%)Imbalance
지도자수 is highly imbalanced (88.6%)Imbalance
인허가취소일자 has 131 (100.0%) missing valuesMissing
폐업일자 has 45 (34.4%) missing valuesMissing
재개업일자 has 131 (100.0%) missing valuesMissing
소재지전화 has 28 (21.4%) missing valuesMissing
소재지면적 has 131 (100.0%) missing valuesMissing
소재지우편번호 has 29 (22.1%) missing valuesMissing
도로명전체주소 has 9 (6.9%) missing valuesMissing
도로명우편번호 has 67 (51.1%) missing valuesMissing
업태구분명 has 131 (100.0%) missing valuesMissing
좌표정보(x) has 2 (1.5%) missing valuesMissing
좌표정보(y) has 2 (1.5%) missing valuesMissing
건축물연면적 has 58 (44.3%) missing valuesMissing
회원모집총인원 has 131 (100.0%) missing valuesMissing
세부업종명 has 131 (100.0%) missing valuesMissing
법인명 has 131 (100.0%) missing valuesMissing
Unnamed: 37 has 131 (100.0%) missing valuesMissing
번호 has unique valuesUnique
최종수정시점 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
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
회원모집총인원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
세부업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
법인명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 37 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-22 00:18:07.325580
Analysis finished2024-04-22 00:18:07.962105
Duration0.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct131
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66
Minimum1
Maximum131
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-22T09:18:08.045975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.5
Q133.5
median66
Q398.5
95-th percentile124.5
Maximum131
Range130
Interquartile range (IQR)65

Descriptive statistics

Standard deviation37.960506
Coefficient of variation (CV)0.57515918
Kurtosis-1.2
Mean66
Median Absolute Deviation (MAD)33
Skewness0
Sum8646
Variance1441
MonotonicityStrictly increasing
2024-04-22T09:18:08.231719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
84 1
 
0.8%
98 1
 
0.8%
97 1
 
0.8%
96 1
 
0.8%
95 1
 
0.8%
94 1
 
0.8%
93 1
 
0.8%
92 1
 
0.8%
91 1
 
0.8%
Other values (121) 121
92.4%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
131 1
0.8%
130 1
0.8%
129 1
0.8%
128 1
0.8%
127 1
0.8%
126 1
0.8%
125 1
0.8%
124 1
0.8%
123 1
0.8%
122 1
0.8%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
무도학원업
131 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
무도학원업 131
100.0%

Length

2024-04-22T09:18:08.419648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:18:08.539462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무도학원업 131
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
10_33_02_P
131 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10_33_02_P
2nd row10_33_02_P
3rd row10_33_02_P
4th row10_33_02_P
5th row10_33_02_P

Common Values

ValueCountFrequency (%)
10_33_02_P 131
100.0%

Length

2024-04-22T09:18:08.650485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:18:08.756622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10_33_02_p 131
100.0%

개방자치단체코드
Real number (ℝ)

Distinct14
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3312977.1
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-22T09:18:08.849452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3250000
Q13290000
median3300000
Q33340000
95-th percentile3380000
Maximum3400000
Range150000
Interquartile range (IQR)50000

Descriptive statistics

Standard deviation37266.084
Coefficient of variation (CV)0.011248518
Kurtosis-0.67001304
Mean3312977.1
Median Absolute Deviation (MAD)30000
Skewness0.28905974
Sum4.34 × 108
Variance1.388761 × 109
MonotonicityNot monotonic
2024-04-22T09:18:08.979280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
3300000 24
18.3%
3290000 21
16.0%
3350000 15
11.5%
3320000 12
9.2%
3270000 12
9.2%
3340000 10
7.6%
3250000 10
7.6%
3380000 7
 
5.3%
3370000 6
 
4.6%
3330000 5
 
3.8%
Other values (4) 9
 
6.9%
ValueCountFrequency (%)
3250000 10
7.6%
3270000 12
9.2%
3280000 3
 
2.3%
3290000 21
16.0%
3300000 24
18.3%
3310000 3
 
2.3%
3320000 12
9.2%
3330000 5
 
3.8%
3340000 10
7.6%
3350000 15
11.5%
ValueCountFrequency (%)
3400000 1
 
0.8%
3390000 2
 
1.5%
3380000 7
 
5.3%
3370000 6
 
4.6%
3350000 15
11.5%
3340000 10
7.6%
3330000 5
 
3.8%
3320000 12
9.2%
3310000 3
 
2.3%
3300000 24
18.3%

관리번호
Text

Distinct57
Distinct (%)43.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-22T09:18:09.230047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters2620
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)22.1%

Sample

1st rowCDFH3301112000000001
2nd rowCDFH3301111993000002
3rd rowCDFH3301111993000001
4th rowCDFH3301112012000001
5th rowCDFH3301112003000001
ValueCountFrequency (%)
cdfh3301112001000001 9
 
6.9%
cdfh3301112002000001 8
 
6.1%
cdfh3301111999000001 7
 
5.3%
cdfh3301112013000001 6
 
4.6%
cdfh3301112000000001 5
 
3.8%
cdfh3301111998000001 5
 
3.8%
cdfh3301112001000002 5
 
3.8%
cdfh3301112009000001 4
 
3.1%
cdfh3301112016000001 4
 
3.1%
cdfh3301112010000001 4
 
3.1%
Other values (47) 74
56.5%
2024-04-22T09:18:09.608035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 975
37.2%
1 567
21.6%
3 290
 
11.1%
2 144
 
5.5%
C 131
 
5.0%
D 131
 
5.0%
F 131
 
5.0%
H 131
 
5.0%
9 78
 
3.0%
8 15
 
0.6%
Other values (4) 27
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2096
80.0%
Uppercase Letter 524
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 975
46.5%
1 567
27.1%
3 290
 
13.8%
2 144
 
6.9%
9 78
 
3.7%
8 15
 
0.7%
5 9
 
0.4%
4 8
 
0.4%
6 6
 
0.3%
7 4
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
C 131
25.0%
D 131
25.0%
F 131
25.0%
H 131
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2096
80.0%
Latin 524
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 975
46.5%
1 567
27.1%
3 290
 
13.8%
2 144
 
6.9%
9 78
 
3.7%
8 15
 
0.7%
5 9
 
0.4%
4 8
 
0.4%
6 6
 
0.3%
7 4
 
0.2%
Latin
ValueCountFrequency (%)
C 131
25.0%
D 131
25.0%
F 131
25.0%
H 131
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2620
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 975
37.2%
1 567
21.6%
3 290
 
11.1%
2 144
 
5.5%
C 131
 
5.0%
D 131
 
5.0%
F 131
 
5.0%
H 131
 
5.0%
9 78
 
3.0%
8 15
 
0.6%
Other values (4) 27
 
1.0%

인허가일자
Real number (ℝ)

Distinct121
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20041773
Minimum19800102
Maximum20200929
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-22T09:18:09.778419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19800102
5-th percentile19930571
Q120000678
median20020318
Q320095572
95-th percentile20165328
Maximum20200929
Range400827
Interquartile range (IQR)94893.5

Descriptive statistics

Standard deviation73887.918
Coefficient of variation (CV)0.0036866957
Kurtosis-0.0069660356
Mean20041773
Median Absolute Deviation (MAD)39591
Skewness0.16436124
Sum2.6254723 × 109
Variance5.4594245 × 109
MonotonicityNot monotonic
2024-04-22T09:18:09.939320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20030210 4
 
3.1%
20010517 4
 
3.1%
19990429 2
 
1.5%
19990902 2
 
1.5%
20010814 2
 
1.5%
20010207 2
 
1.5%
19920521 1
 
0.8%
19940727 1
 
0.8%
20011224 1
 
0.8%
20020517 1
 
0.8%
Other values (111) 111
84.7%
ValueCountFrequency (%)
19800102 1
0.8%
19910904 1
0.8%
19911125 1
0.8%
19920226 1
0.8%
19920521 1
0.8%
19930409 1
0.8%
19930426 1
0.8%
19930716 1
0.8%
19931016 1
0.8%
19931020 1
0.8%
ValueCountFrequency (%)
20200929 1
0.8%
20200921 1
0.8%
20200417 1
0.8%
20190311 1
0.8%
20181101 1
0.8%
20181018 1
0.8%
20170125 1
0.8%
20160531 1
0.8%
20160519 1
0.8%
20160512 1
0.8%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing131
Missing (%)100.0%
Memory size1.3 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
3
88 
1
41 
4
 
1
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
3 88
67.2%
1 41
31.3%
4 1
 
0.8%
2 1
 
0.8%

Length

2024-04-22T09:18:10.103893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:18:10.227231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 88
67.2%
1 41
31.3%
4 1
 
0.8%
2 1
 
0.8%

영업상태명
Categorical

Distinct4
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
폐업
88 
영업/정상
41 
취소/말소/만료/정지/중지
 
1
휴업
 
1

Length

Max length14
Median length2
Mean length3.0305344
Min length2

Unique

Unique2 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 88
67.2%
영업/정상 41
31.3%
취소/말소/만료/정지/중지 1
 
0.8%
휴업 1
 
0.8%

Length

2024-04-22T09:18:10.383272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:18:10.506221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 88
67.2%
영업/정상 41
31.3%
취소/말소/만료/정지/중지 1
 
0.8%
휴업 1
 
0.8%

상세영업상태코드
Categorical

Distinct4
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
3
88 
13
41 
35
 
1
2
 
1

Length

Max length2
Median length1
Mean length1.3206107
Min length1

Unique

Unique2 ?
Unique (%)1.5%

Sample

1st row35
2nd row3
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 88
67.2%
13 41
31.3%
35 1
 
0.8%
2 1
 
0.8%

Length

2024-04-22T09:18:10.629864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:18:10.730606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 88
67.2%
13 41
31.3%
35 1
 
0.8%
2 1
 
0.8%

상세영업상태명
Categorical

Distinct4
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
폐업
88 
영업중
41 
직권말소
 
1
휴업
 
1

Length

Max length4
Median length2
Mean length2.3282443
Min length2

Unique

Unique2 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 88
67.2%
영업중 41
31.3%
직권말소 1
 
0.8%
휴업 1
 
0.8%

Length

2024-04-22T09:18:10.863669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:18:10.978965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 88
67.2%
영업중 41
31.3%
직권말소 1
 
0.8%
휴업 1
 
0.8%

폐업일자
Real number (ℝ)

MISSING 

Distinct83
Distinct (%)96.5%
Missing45
Missing (%)34.4%
Infinite0
Infinite (%)0.0%
Mean20118548
Minimum19960426
Maximum20201224
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-22T09:18:11.110304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19960426
5-th percentile20040374
Q120070578
median20115656
Q320178184
95-th percentile20200291
Maximum20201224
Range240798
Interquartile range (IQR)107607

Descriptive statistics

Standard deviation59201.539
Coefficient of variation (CV)0.0029426348
Kurtosis-0.99990659
Mean20118548
Median Absolute Deviation (MAD)54796
Skewness-0.21286755
Sum1.7301951 × 109
Variance3.5048222 × 109
MonotonicityNot monotonic
2024-04-22T09:18:11.277153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20070517 2
 
1.5%
20130603 2
 
1.5%
20091023 2
 
1.5%
20040331 1
 
0.8%
20040513 1
 
0.8%
20070810 1
 
0.8%
20050401 1
 
0.8%
20171226 1
 
0.8%
20080108 1
 
0.8%
20190326 1
 
0.8%
Other values (73) 73
55.7%
(Missing) 45
34.4%
ValueCountFrequency (%)
19960426 1
0.8%
20000509 1
0.8%
20020831 1
0.8%
20030324 1
0.8%
20040331 1
0.8%
20040504 1
0.8%
20040513 1
0.8%
20041101 1
0.8%
20041201 1
0.8%
20050103 1
0.8%
ValueCountFrequency (%)
20201224 1
0.8%
20200907 1
0.8%
20200720 1
0.8%
20200326 1
0.8%
20200320 1
0.8%
20200203 1
0.8%
20191112 1
0.8%
20190816 1
0.8%
20190711 1
0.8%
20190611 1
0.8%

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
130 
20130318
 
1

Length

Max length8
Median length4
Mean length4.0305344
Min length4

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 130
99.2%
20130318 1
 
0.8%

Length

2024-04-22T09:18:11.431116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:18:11.538863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 130
99.2%
20130318 1
 
0.8%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
130 
20181229
 
1

Length

Max length8
Median length4
Mean length4.0305344
Min length4

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 130
99.2%
20181229 1
 
0.8%

Length

2024-04-22T09:18:11.671624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:18:11.810006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 130
99.2%
20181229 1
 
0.8%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing131
Missing (%)100.0%
Memory size1.3 KiB

소재지전화
Text

MISSING 

Distinct100
Distinct (%)97.1%
Missing28
Missing (%)21.4%
Memory size1.2 KiB
2024-04-22T09:18:12.046601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.029126
Min length8

Characters and Unicode

Total characters1033
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique97 ?
Unique (%)94.2%

Sample

1st row051-805-5550
2nd row051-783-8713
3rd row051-744-0755
4th row722-5511
5th row341-9728
ValueCountFrequency (%)
633-0588 2
 
1.9%
051-866-8018 2
 
1.9%
051-245-6984 2
 
1.9%
557-6220 1
 
1.0%
051-753-7732 1
 
1.0%
051-253-3372 1
 
1.0%
051-255-0022 1
 
1.0%
051-248-0856 1
 
1.0%
051-246-1043 1
 
1.0%
468-5582 1
 
1.0%
Other values (90) 90
87.4%
2024-04-22T09:18:12.422072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 168
16.3%
- 152
14.7%
0 114
11.0%
1 103
10.0%
7 87
8.4%
2 83
8.0%
8 76
7.4%
3 71
6.9%
6 67
 
6.5%
4 65
 
6.3%
Other values (2) 47
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 878
85.0%
Dash Punctuation 152
 
14.7%
Close Punctuation 3
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 168
19.1%
0 114
13.0%
1 103
11.7%
7 87
9.9%
2 83
9.5%
8 76
8.7%
3 71
8.1%
6 67
 
7.6%
4 65
 
7.4%
9 44
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 152
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1033
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 168
16.3%
- 152
14.7%
0 114
11.0%
1 103
10.0%
7 87
8.4%
2 83
8.0%
8 76
7.4%
3 71
6.9%
6 67
 
6.5%
4 65
 
6.3%
Other values (2) 47
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1033
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 168
16.3%
- 152
14.7%
0 114
11.0%
1 103
10.0%
7 87
8.4%
2 83
8.0%
8 76
7.4%
3 71
6.9%
6 67
 
6.5%
4 65
 
6.3%
Other values (2) 47
 
4.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing131
Missing (%)100.0%
Memory size1.3 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct60
Distinct (%)58.8%
Missing29
Missing (%)22.1%
Infinite0
Infinite (%)0.0%
Mean609760.21
Minimum600044
Maximum619903
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-22T09:18:12.567685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600044
5-th percentile600858.7
Q1607804
median609830
Q3613826.25
95-th percentile616801
Maximum619903
Range19859
Interquartile range (IQR)6022.25

Descriptive statistics

Standard deviation5054.0571
Coefficient of variation (CV)0.0082885978
Kurtosis-0.8676435
Mean609760.21
Median Absolute Deviation (MAD)3979
Skewness-0.19934294
Sum62195541
Variance25543493
MonotonicityNot monotonic
2024-04-22T09:18:12.724645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
616801 9
 
6.9%
607824 6
 
4.6%
607831 4
 
3.1%
607804 4
 
3.1%
601803 4
 
3.1%
609830 4
 
3.1%
604815 3
 
2.3%
607833 3
 
2.3%
611822 3
 
2.3%
613809 2
 
1.5%
Other values (50) 60
45.8%
(Missing) 29
22.1%
ValueCountFrequency (%)
600044 2
1.5%
600046 1
 
0.8%
600805 1
 
0.8%
600807 1
 
0.8%
600809 1
 
0.8%
601803 4
3.1%
601807 1
 
0.8%
601827 2
1.5%
601838 1
 
0.8%
604021 1
 
0.8%
ValueCountFrequency (%)
619903 1
 
0.8%
617808 1
 
0.8%
617806 1
 
0.8%
616837 1
 
0.8%
616801 9
6.9%
614876 1
 
0.8%
614870 1
 
0.8%
614863 1
 
0.8%
614850 1
 
0.8%
614843 1
 
0.8%

소재지전체주소
Text

Distinct127
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-22T09:18:13.043105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length26
Mean length22.267176
Min length18

Characters and Unicode

Total characters2917
Distinct characters86
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique124 ?
Unique (%)94.7%

Sample

1st row부산광역시 부산진구 부전동 524-2번지
2nd row부산광역시 해운대구 재송동 1073-26번지
3rd row부산광역시 해운대구 우동 541-13번지
4th row부산광역시 해운대구 중동 1393-87번지
5th row부산광역시 기장군 기장읍 대라리 68-5번지
ValueCountFrequency (%)
부산광역시 131
23.1%
동래구 24
 
4.2%
부산진구 21
 
3.7%
3층 20
 
3.5%
금정구 15
 
2.6%
온천동 13
 
2.3%
동구 12
 
2.1%
구포동 12
 
2.1%
북구 12
 
2.1%
중구 10
 
1.8%
Other values (178) 297
52.4%
2024-04-22T09:18:13.499368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
436
 
14.9%
부 170
 
5.8%
동 166
 
5.7%
산 158
 
5.4%
구 145
 
5.0%
광 136
 
4.7%
역 131
 
4.5%
시 131
 
4.5%
- 122
 
4.2%
지 122
 
4.2%
Other values (76) 1200
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1722
59.0%
Decimal Number 625
 
21.4%
Space Separator 436
 
14.9%
Dash Punctuation 122
 
4.2%
Close Punctuation 6
 
0.2%
Open Punctuation 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 170
9.9%
동 166
9.6%
산 158
 
9.2%
구 145
 
8.4%
광 136
 
7.9%
역 131
 
7.6%
시 131
 
7.6%
지 122
 
7.1%
번 120
 
7.0%
층 40
 
2.3%
Other values (62) 403
23.4%
Decimal Number
ValueCountFrequency (%)
1 96
15.4%
2 93
14.9%
3 83
13.3%
4 66
10.6%
6 63
10.1%
5 51
8.2%
7 51
8.2%
0 45
7.2%
9 39
6.2%
8 38
 
6.1%
Space Separator
ValueCountFrequency (%)
436
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 122
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1722
59.0%
Common 1195
41.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 170
9.9%
동 166
9.6%
산 158
 
9.2%
구 145
 
8.4%
광 136
 
7.9%
역 131
 
7.6%
시 131
 
7.6%
지 122
 
7.1%
번 120
 
7.0%
층 40
 
2.3%
Other values (62) 403
23.4%
Common
ValueCountFrequency (%)
436
36.5%
- 122
 
10.2%
1 96
 
8.0%
2 93
 
7.8%
3 83
 
6.9%
4 66
 
5.5%
6 63
 
5.3%
5 51
 
4.3%
7 51
 
4.3%
0 45
 
3.8%
Other values (4) 89
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1722
59.0%
ASCII 1195
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
436
36.5%
- 122
 
10.2%
1 96
 
8.0%
2 93
 
7.8%
3 83
 
6.9%
4 66
 
5.5%
6 63
 
5.3%
5 51
 
4.3%
7 51
 
4.3%
0 45
 
3.8%
Other values (4) 89
 
7.4%
Hangul
ValueCountFrequency (%)
부 170
9.9%
동 166
9.6%
산 158
 
9.2%
구 145
 
8.4%
광 136
 
7.9%
역 131
 
7.6%
시 131
 
7.6%
지 122
 
7.1%
번 120
 
7.0%
층 40
 
2.3%
Other values (62) 403
23.4%

도로명전체주소
Text

MISSING 

Distinct120
Distinct (%)98.4%
Missing9
Missing (%)6.9%
Memory size1.2 KiB
2024-04-22T09:18:13.794788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length33
Mean length27.385246
Min length22

Characters and Unicode

Total characters3341
Distinct characters121
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique118 ?
Unique (%)96.7%

Sample

1st row부산광역시 부산진구 중앙대로691번길 49 (부전동)
2nd row부산광역시 해운대구 재송1로20번길 8 (재송동)
3rd row부산광역시 해운대구 구남로12번길 13 (우동)
4th row부산광역시 해운대구 구남로 35-12 (중동)
5th row부산광역시 북구 시장갓길 60 (구포동)
ValueCountFrequency (%)
부산광역시 122
 
18.8%
동래구 24
 
3.7%
부산진구 19
 
2.9%
3층 17
 
2.6%
금정구 15
 
2.3%
온천동 13
 
2.0%
동구 12
 
1.9%
북구 11
 
1.7%
구포동 11
 
1.7%
부전동 9
 
1.4%
Other values (228) 395
61.0%
2024-04-22T09:18:14.211550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
575
 
17.2%
동 185
 
5.5%
부 161
 
4.8%
산 147
 
4.4%
구 142
 
4.3%
광 130
 
3.9%
시 126
 
3.8%
( 124
 
3.7%
) 124
 
3.7%
역 122
 
3.7%
Other values (111) 1505
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1937
58.0%
Space Separator 575
 
17.2%
Decimal Number 506
 
15.1%
Open Punctuation 124
 
3.7%
Close Punctuation 124
 
3.7%
Other Punctuation 46
 
1.4%
Dash Punctuation 29
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 185
 
9.6%
부 161
 
8.3%
산 147
 
7.6%
구 142
 
7.3%
광 130
 
6.7%
시 126
 
6.5%
역 122
 
6.3%
로 118
 
6.1%
길 60
 
3.1%
번 56
 
2.9%
Other values (96) 690
35.6%
Decimal Number
ValueCountFrequency (%)
1 120
23.7%
2 67
13.2%
3 64
12.6%
4 52
10.3%
6 43
 
8.5%
5 42
 
8.3%
9 37
 
7.3%
7 35
 
6.9%
8 25
 
4.9%
0 21
 
4.2%
Space Separator
ValueCountFrequency (%)
575
100.0%
Open Punctuation
ValueCountFrequency (%)
( 124
100.0%
Close Punctuation
ValueCountFrequency (%)
) 124
100.0%
Other Punctuation
ValueCountFrequency (%)
, 46
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1937
58.0%
Common 1404
42.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 185
 
9.6%
부 161
 
8.3%
산 147
 
7.6%
구 142
 
7.3%
광 130
 
6.7%
시 126
 
6.5%
역 122
 
6.3%
로 118
 
6.1%
길 60
 
3.1%
번 56
 
2.9%
Other values (96) 690
35.6%
Common
ValueCountFrequency (%)
575
41.0%
( 124
 
8.8%
) 124
 
8.8%
1 120
 
8.5%
2 67
 
4.8%
3 64
 
4.6%
4 52
 
3.7%
, 46
 
3.3%
6 43
 
3.1%
5 42
 
3.0%
Other values (5) 147
 
10.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1937
58.0%
ASCII 1404
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
575
41.0%
( 124
 
8.8%
) 124
 
8.8%
1 120
 
8.5%
2 67
 
4.8%
3 64
 
4.6%
4 52
 
3.7%
, 46
 
3.3%
6 43
 
3.1%
5 42
 
3.0%
Other values (5) 147
 
10.5%
Hangul
ValueCountFrequency (%)
동 185
 
9.6%
부 161
 
8.3%
산 147
 
7.6%
구 142
 
7.3%
광 130
 
6.7%
시 126
 
6.5%
역 122
 
6.3%
로 118
 
6.1%
길 60
 
3.1%
번 56
 
2.9%
Other values (96) 690
35.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct47
Distinct (%)73.4%
Missing67
Missing (%)51.1%
Infinite0
Infinite (%)0.0%
Mean135928.72
Minimum46243
Maximum616801
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-22T09:18:14.341737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46243
5-th percentile46321
Q147254
median47813
Q348977
95-th percentile614858.05
Maximum616801
Range570558
Interquartile range (IQR)1723

Descriptive statistics

Standard deviation206552.6
Coefficient of variation (CV)1.5195655
Kurtosis1.8184751
Mean135928.72
Median Absolute Deviation (MAD)922
Skewness1.9395312
Sum8699438
Variance4.2663975 × 1010
MonotonicityNot monotonic
2024-04-22T09:18:14.481660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
46321 4
 
3.1%
47813 4
 
3.1%
616801 3
 
2.3%
47254 2
 
1.5%
47323 2
 
1.5%
47246 2
 
1.5%
48977 2
 
1.5%
47708 2
 
1.5%
47710 2
 
1.5%
48745 2
 
1.5%
Other values (37) 39
29.8%
(Missing) 67
51.1%
ValueCountFrequency (%)
46243 1
 
0.8%
46321 4
3.1%
46501 1
 
0.8%
46502 1
 
0.8%
46580 1
 
0.8%
46581 1
 
0.8%
47192 1
 
0.8%
47213 1
 
0.8%
47246 2
1.5%
47251 1
 
0.8%
ValueCountFrequency (%)
616801 3
2.3%
614863 1
 
0.8%
614830 1
 
0.8%
612847 1
 
0.8%
611822 1
 
0.8%
609830 1
 
0.8%
604815 1
 
0.8%
601827 1
 
0.8%
49311 1
 
0.8%
49053 1
 
0.8%

사업장명
Text

Distinct108
Distinct (%)82.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-22T09:18:14.734428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length7.4885496
Min length3

Characters and Unicode

Total characters981
Distinct characters152
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)71.0%

Sample

1st row서면프로무도학원
2nd row대원무도학원
3rd row해운대무도학원
4th row해운대댄스스포츠
5th row기장무도학원
ValueCountFrequency (%)
댄스스포츠 19
 
11.0%
국제무도학원 5
 
2.9%
무도학원 5
 
2.9%
제일무도학원 3
 
1.7%
부산무도학원 3
 
1.7%
한국댄스스포츠학원 3
 
1.7%
현대무도학원 3
 
1.7%
뉴욕무도학원 3
 
1.7%
댄스 3
 
1.7%
현대 3
 
1.7%
Other values (112) 122
70.9%
2024-04-22T09:18:15.100780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 116
 
11.8%
원 88
 
9.0%
학 87
 
8.9%
도 76
 
7.7%
무 75
 
7.6%
댄 53
 
5.4%
포 53
 
5.4%
츠 50
 
5.1%
41
 
4.2%
대 15
 
1.5%
Other values (142) 327
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 934
95.2%
Space Separator 41
 
4.2%
Uppercase Letter 3
 
0.3%
Lowercase Letter 2
 
0.2%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 116
 
12.4%
원 88
 
9.4%
학 87
 
9.3%
도 76
 
8.1%
무 75
 
8.0%
댄 53
 
5.7%
포 53
 
5.7%
츠 50
 
5.4%
대 15
 
1.6%
국 12
 
1.3%
Other values (135) 309
33.1%
Uppercase Letter
ValueCountFrequency (%)
K 1
33.3%
C 1
33.3%
H 1
33.3%
Lowercase Letter
ValueCountFrequency (%)
n 1
50.0%
a 1
50.0%
Space Separator
ValueCountFrequency (%)
41
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 934
95.2%
Common 42
 
4.3%
Latin 5
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 116
 
12.4%
원 88
 
9.4%
학 87
 
9.3%
도 76
 
8.1%
무 75
 
8.0%
댄 53
 
5.7%
포 53
 
5.7%
츠 50
 
5.4%
대 15
 
1.6%
국 12
 
1.3%
Other values (135) 309
33.1%
Latin
ValueCountFrequency (%)
K 1
20.0%
C 1
20.0%
H 1
20.0%
n 1
20.0%
a 1
20.0%
Common
ValueCountFrequency (%)
41
97.6%
& 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 934
95.2%
ASCII 47
 
4.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 116
 
12.4%
원 88
 
9.4%
학 87
 
9.3%
도 76
 
8.1%
무 75
 
8.0%
댄 53
 
5.7%
포 53
 
5.7%
츠 50
 
5.4%
대 15
 
1.6%
국 12
 
1.3%
Other values (135) 309
33.1%
ASCII
ValueCountFrequency (%)
41
87.2%
K 1
 
2.1%
& 1
 
2.1%
C 1
 
2.1%
H 1
 
2.1%
n 1
 
2.1%
a 1
 
2.1%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct131
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0140166 × 1013
Minimum2.0030211 × 1013
Maximum2.0210305 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-22T09:18:15.291424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0030211 × 1013
5-th percentile2.0041204 × 1013
Q12.0105461 × 1013
median2.0151218 × 1013
Q32.0185725 × 1013
95-th percentile2.0200925 × 1013
Maximum2.0210305 × 1013
Range1.8009401 × 1011
Interquartile range (IQR)8.026399 × 1010

Descriptive statistics

Standard deviation5.1508895 × 1010
Coefficient of variation (CV)0.0025575209
Kurtosis-0.93541245
Mean2.0140166 × 1013
Median Absolute Deviation (MAD)3.9705928 × 1010
Skewness-0.51694282
Sum2.6383617 × 1015
Variance2.6531662 × 1021
MonotonicityNot monotonic
2024-04-22T09:18:15.706677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20110726112909 1
 
0.8%
20060620145245 1
 
0.8%
20210305124043 1
 
0.8%
20170110163521 1
 
0.8%
20170608101919 1
 
0.8%
20170110163729 1
 
0.8%
20160519093927 1
 
0.8%
20170110163334 1
 
0.8%
20201119162739 1
 
0.8%
20130117104128 1
 
0.8%
Other values (121) 121
92.4%
ValueCountFrequency (%)
20030211113618 1
0.8%
20030213101713 1
0.8%
20030324153829 1
0.8%
20030624095015 1
0.8%
20040505114457 1
0.8%
20040513133647 1
0.8%
20041201100418 1
0.8%
20041207140034 1
0.8%
20050712121944 1
0.8%
20060106092442 1
0.8%
ValueCountFrequency (%)
20210305124043 1
0.8%
20201228151015 1
0.8%
20201119162739 1
0.8%
20201114145353 1
0.8%
20201114145242 1
0.8%
20201026085347 1
0.8%
20200929115730 1
0.8%
20200921112245 1
0.8%
20200907134812 1
0.8%
20200901205440 1
0.8%

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
I
95 
U
36 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 95
72.5%
U 36
 
27.5%

Length

2024-04-22T09:18:15.851613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:18:15.945971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 95
72.5%
u 36
 
27.5%

데이터갱신일자
Date

Distinct39
Distinct (%)29.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2018-08-31 23:59:59
Maximum2021-03-07 02:40:00
2024-04-22T09:18:16.044782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T09:18:16.175453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing131
Missing (%)100.0%
Memory size1.3 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct117
Distinct (%)90.7%
Missing2
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean387732.49
Minimum379146.46
Maximum401585.95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-22T09:18:16.315202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum379146.46
5-th percentile380646.45
Q1384749.61
median387751.46
Q3389978.59
95-th percentile392688.32
Maximum401585.95
Range22439.495
Interquartile range (IQR)5228.9769

Descriptive statistics

Standard deviation4096.214
Coefficient of variation (CV)0.010564536
Kurtosis0.2688596
Mean387732.49
Median Absolute Deviation (MAD)2430.4511
Skewness-0.085513693
Sum50017491
Variance16778969
MonotonicityNot monotonic
2024-04-22T09:18:16.448411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
391771.080138565 4
 
3.1%
387580.398935417 3
 
2.3%
389568.327459605 2
 
1.5%
387667.20808376 2
 
1.5%
387624.989707084 2
 
1.5%
382355.836275811 2
 
1.5%
391826.441352442 2
 
1.5%
384723.35613516 2
 
1.5%
381859.396768544 2
 
1.5%
389211.937116218 1
 
0.8%
Other values (107) 107
81.7%
(Missing) 2
 
1.5%
ValueCountFrequency (%)
379146.456410293 1
0.8%
379210.312595397 1
0.8%
379389.422681416 1
0.8%
379471.752047664 1
0.8%
379550.273389181 1
0.8%
379779.666846195 1
0.8%
380638.299765377 1
0.8%
380658.683422044 1
0.8%
381621.468580223 1
0.8%
381622.644225725 1
0.8%
ValueCountFrequency (%)
401585.951905544 1
0.8%
396886.146092074 1
0.8%
396641.87880435 1
0.8%
394793.311822588 1
0.8%
393281.146618383 1
0.8%
393191.489741171 1
0.8%
392711.416842625 1
0.8%
392653.680879591 1
0.8%
392637.790394465 1
0.8%
392531.362181258 1
0.8%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct117
Distinct (%)90.7%
Missing2
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean187616.38
Minimum178539.55
Maximum197615.56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-22T09:18:16.610386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum178539.55
5-th percentile179637.89
Q1184100.27
median187325.2
Q3191794.77
95-th percentile193468.66
Maximum197615.56
Range19076.015
Interquartile range (IQR)7694.5008

Descriptive statistics

Standard deviation4939.7426
Coefficient of variation (CV)0.026328952
Kurtosis-1.0147242
Mean187616.38
Median Absolute Deviation (MAD)4308.9375
Skewness-0.26217847
Sum24202513
Variance24401057
MonotonicityNot monotonic
2024-04-22T09:18:16.753927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
192637.074264478 4
 
3.1%
184100.273618128 3
 
2.3%
189526.220539494 2
 
1.5%
184016.952668961 2
 
1.5%
186442.636762676 2
 
1.5%
191840.120030345 2
 
1.5%
192681.076183986 2
 
1.5%
179684.637389432 2
 
1.5%
191549.285621544 2
 
1.5%
192382.63601032 1
 
0.8%
Other values (107) 107
81.7%
(Missing) 2
 
1.5%
ValueCountFrequency (%)
178539.547977792 1
0.8%
178628.749551099 1
0.8%
178982.210578747 1
0.8%
179365.804285634 1
0.8%
179452.209734125 1
0.8%
179528.531517589 1
0.8%
179629.424200445 1
0.8%
179650.592845187 1
0.8%
179660.148759733 1
0.8%
179684.637389432 2
1.5%
ValueCountFrequency (%)
197615.562523444 1
0.8%
197525.2001613 1
0.8%
196210.526021658 1
0.8%
196108.21407121 1
0.8%
193611.791707609 1
0.8%
193546.695320942 1
0.8%
193492.400999647 1
0.8%
193433.037073686 1
0.8%
193382.27892736 1
0.8%
193363.103984833 1
0.8%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
무도학원업
131 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
무도학원업 131
100.0%

Length

2024-04-22T09:18:16.881425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:18:16.974961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무도학원업 131
100.0%

공사립구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
사립
131 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 131
100.0%

Length

2024-04-22T09:18:17.077338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:18:17.174214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 131
100.0%

보험가입여부코드
Categorical

Distinct4
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
53 
Y
44 
0
23 
1
11 

Length

Max length4
Median length1
Mean length2.2137405
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row0
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 53
40.5%
Y 44
33.6%
0 23
17.6%
1 11
 
8.4%

Length

2024-04-22T09:18:17.270772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:18:17.369703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 53
40.5%
y 44
33.6%
0 23
17.6%
1 11
 
8.4%

지도자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
129 
1
 
2

Length

Max length4
Median length4
Mean length3.9541985
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 129
98.5%
1 2
 
1.5%

Length

2024-04-22T09:18:17.481940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:18:17.578305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 129
98.5%
1 2
 
1.5%

건축물동수
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
104 
1
27 

Length

Max length4
Median length4
Mean length3.3816794
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row1
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 104
79.4%
1 27
 
20.6%

Length

2024-04-22T09:18:17.685502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:18:17.829931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
79.4%
1 27
 
20.6%

건축물연면적
Real number (ℝ)

MISSING 

Distinct69
Distinct (%)94.5%
Missing58
Missing (%)44.3%
Infinite0
Infinite (%)0.0%
Mean705.02164
Minimum68.3
Maximum5273.11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-22T09:18:17.985283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum68.3
5-th percentile81.572
Q1132
median195.69
Q3764.48
95-th percentile2757.76
Maximum5273.11
Range5204.81
Interquartile range (IQR)632.48

Descriptive statistics

Standard deviation1058.6767
Coefficient of variation (CV)1.501623
Kurtosis7.2020475
Mean705.02164
Median Absolute Deviation (MAD)110.42
Skewness2.5897298
Sum51466.58
Variance1120796.4
MonotonicityNot monotonic
2024-04-22T09:18:18.127626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1405.93 2
 
1.5%
166.31 2
 
1.5%
480.02 2
 
1.5%
85.5 2
 
1.5%
3861.84 1
 
0.8%
147.28 1
 
0.8%
336.5 1
 
0.8%
350.3 1
 
0.8%
468.6 1
 
0.8%
86.79 1
 
0.8%
Other values (59) 59
45.0%
(Missing) 58
44.3%
ValueCountFrequency (%)
68.3 1
0.8%
68.94 1
0.8%
77.16 1
0.8%
81.38 1
0.8%
81.7 1
0.8%
85.27 1
0.8%
85.5 2
1.5%
86.79 1
0.8%
87.0 1
0.8%
87.81 1
0.8%
ValueCountFrequency (%)
5273.11 1
0.8%
4746.17 1
0.8%
3861.84 1
0.8%
2942.95 1
0.8%
2634.3 1
0.8%
2213.48 1
0.8%
2176.3 1
0.8%
1833.28 1
0.8%
1712.56 1
0.8%
1686.46 1
0.8%

회원모집총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing131
Missing (%)100.0%
Memory size1.3 KiB

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing131
Missing (%)100.0%
Memory size1.3 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing131
Missing (%)100.0%
Memory size1.3 KiB

Unnamed: 37
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing131
Missing (%)100.0%
Memory size1.3 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명Unnamed: 37
01무도학원업10_33_02_P3290000CDFH330111200000000120000728<NA>4취소/말소/만료/정지/중지35직권말소20081229<NA><NA><NA>051-805-5550<NA>614850부산광역시 부산진구 부전동 524-2번지부산광역시 부산진구 중앙대로691번길 49 (부전동)<NA>서면프로무도학원20110726112909I2018-08-31 23:59:59.0<NA>387304.500985185840.662054무도학원업사립<NA><NA><NA><NA><NA><NA><NA><NA>
12무도학원업10_33_02_P3330000CDFH330111199300000219931016<NA>3폐업3폐업20051004<NA><NA><NA>051-783-8713<NA>612831부산광역시 해운대구 재송동 1073-26번지부산광역시 해운대구 재송1로20번길 8 (재송동)<NA>대원무도학원20060803162352I2018-08-31 23:59:59.0<NA>393191.489741189646.96742무도학원업사립0<NA><NA><NA><NA><NA><NA><NA>
23무도학원업10_33_02_P3330000CDFH330111199300000119930716<NA>3폐업3폐업20120525<NA><NA><NA>051-744-0755<NA>612821부산광역시 해운대구 우동 541-13번지부산광역시 해운대구 구남로12번길 13 (우동)<NA>해운대무도학원20120525165948I2018-08-31 23:59:59.0<NA>396641.878804186916.187708무도학원업사립0<NA><NA><NA><NA><NA><NA><NA>
34무도학원업10_33_02_P3330000CDFH330111201200000120120227<NA>3폐업3폐업20120302<NA><NA><NA><NA><NA>612847부산광역시 해운대구 중동 1393-87번지부산광역시 해운대구 구남로 35-12 (중동)612847해운대댄스스포츠20120316101036I2018-08-31 23:59:59.0<NA>396886.146092186812.732991무도학원업사립<NA><NA>1<NA><NA><NA><NA><NA>
45무도학원업10_33_02_P3400000CDFH330111200300000120030123<NA>3폐업3폐업20070410<NA><NA><NA>722-5511<NA>619903부산광역시 기장군 기장읍 대라리 68-5번지<NA><NA>기장무도학원20070613151958I2018-08-31 23:59:59.0<NA>401585.951906196108.214071무도학원업사립0<NA><NA>99.0<NA><NA><NA><NA>
56무도학원업10_33_02_P3320000CDFH330111200000000120001011<NA>3폐업3폐업20041201<NA><NA><NA>341-9728<NA>616801부산광역시 북구 구포동 1060-46번지<NA><NA>박상기20041201100418I2018-08-31 23:59:59.0<NA>381859.396769191549.285622무도학원업사립0<NA><NA><NA><NA><NA><NA><NA>
67무도학원업10_33_02_P3320000CDFH330111199800000119980727<NA>3폐업3폐업20200326<NA><NA><NA>331-8814<NA>616801부산광역시 북구 구포동 591-14번지부산광역시 북구 시장갓길 60 (구포동)<NA>구포 리듬짝20200326182611U2020-03-28 02:40:00.0<NA>382275.85387191657.145872무도학원업사립Y<NA><NA><NA><NA><NA><NA><NA>
78무도학원업10_33_02_P3320000CDFH330111200800000220080619<NA>3폐업3폐업20140225<NA><NA><NA>331-7779<NA>616801부산광역시 북구 구포동 1060-46번지 (3층)부산광역시 북구 구포만세길 111, 3층 (구포동)616801최우석 댄스스포츠20140225142632I2018-08-31 23:59:59.0<NA>381859.396769191549.285622무도학원업사립Y<NA>11316.34<NA><NA><NA><NA>
89무도학원업10_33_02_P3320000CDFH330111200000000220000831<NA>3폐업3폐업20051025<NA><NA><NA>335-1533<NA>616837부산광역시 북구 구포동 392번지부산광역시 북구 낙동대로1762번길 44 (구포동)<NA>현대댄스스포츠20061110170602I2018-08-31 23:59:59.0<NA>382099.39344191664.788702무도학원업사립0<NA><NA><NA><NA><NA><NA><NA>
910무도학원업10_33_02_P3380000CDFH330111200900000120090108<NA>3폐업3폐업20190214<NA><NA><NA>759-1222<NA>613800부산광역시 수영구 광안동 51-2번지 4층부산광역시 수영구 수영로 698-1 (광안동,4층)<NA>유승희댄스스포츠20190314135020U2019-03-16 02:40:00.0<NA>392711.416843187405.399768무도학원업사립Y<NA><NA><NA><NA><NA><NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명Unnamed: 37
121122무도학원업10_33_02_P3290000CDFH330111201300000220130618<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>614836부산광역시 부산진구 부암동 80-69번지 (3층)부산광역시 부산진구 새싹로 91, 3층 (부암동)47192마니아 댄스스포츠20180322154723I2018-08-31 23:59:59.0<NA>386980.305911187011.201541무도학원업사립<NA><NA><NA><NA><NA><NA><NA><NA>
122123무도학원업10_33_02_P3290000CDFH330111200800000120080227<NA>1영업/정상13영업중<NA><NA><NA><NA>051-803-0502<NA><NA>부산광역시 부산진구 부전동 142-8번지 2층부산광역시 부산진구 서전로 11-1 (부전동, 신천빌딩)47246김상정 김민의 라루체 댄스스포츠20190924101239U2019-09-26 02:40:00.0<NA>387733.848223186259.810701무도학원업사립<NA><NA><NA>290.0<NA><NA><NA><NA>
123124무도학원업10_33_02_P3370000CDFH330111201000000220100401<NA>1영업/정상13영업중<NA><NA><NA><NA>051-853-9966<NA>611828부산광역시 연제구 연산동 1242-27번지부산광역시 연제구 중앙대로 1093 (연산동)47540김호경 인터내셔날 댄스스포츠20190813090251U2019-08-15 02:40:00.0<NA>389465.997157189353.18074무도학원업사립Y<NA><NA><NA><NA><NA><NA><NA>
124125무도학원업10_33_02_P3370000CDFH330111201000000120100210<NA>1영업/정상13영업중<NA><NA><NA><NA>051-753-7732<NA>611822부산광역시 연제구 연산동 726-5번지 5층부산광역시 연제구 반송로 9-1 (연산동)47520동영무도학원20190725105531U2019-07-27 02:40:00.0<NA>389589.66909189503.879237무도학원업사립Y<NA><NA><NA><NA><NA><NA><NA>
125126무도학원업10_33_02_P3300000CDFH330111201400000120140116<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>607833부산광역시 동래구 온천동 183-8번지 7층부산광역시 동래구 온천장로 64, 7층 (온천동)47711루쎄나 댄스 아카데미20200204110759U2020-02-06 02:40:00.0<NA>389478.593575192842.825995무도학원업사립Y<NA><NA>2942.95<NA><NA><NA><NA>
126127무도학원업10_33_02_P3300000CDFH330111201300000120131108<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>607824부산광역시 동래구 수안동 183-3번지 2층부산광역시 동래구 충렬대로 241, 2층 (수안동)47813수 댄스스포츠20140410155015I2018-08-31 23:59:59.0<NA>389890.396537191147.901805무도학원업사립Y<NA><NA><NA><NA><NA><NA><NA>
127128무도학원업10_33_02_P3300000CDFH330111200900000120090713<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>607833부산광역시 동래구 온천동 210-84번지부산광역시 동래구 금강공원로 40-1 (온천동)47709화신스포츠 무도학원20120926155715I2018-08-31 23:59:59.0<NA>389320.940521193064.061705무도학원업사립<NA><NA>12213.48<NA><NA><NA><NA>
128129무도학원업10_33_02_P3300000CDFH330111200200000120020318<NA>1영업/정상13영업중<NA><NA><NA><NA>557-6220<NA>607824부산광역시 동래구 수안동 436-3번지부산광역시 동래구 명륜로98번길 52 (수안동)47813셀위무도학원20200319111828U2020-03-21 02:40:00.0<NA>389919.774789191188.75755무도학원업사립<NA><NA><NA>81.38<NA><NA><NA><NA>
129130무도학원업10_33_02_P3250000CDFH330111200000000120000131<NA>1영업/정상13영업중<NA><NA><NA><NA>051-244-4200<NA>600807부산광역시 중구 부평동2가 56-1번지<NA><NA>삼보무도학원20110111134616I2018-08-31 23:59:59.0<NA>384632.924657179745.924058무도학원업사립<NA><NA><NA><NA><NA><NA><NA><NA>
130131무도학원업10_33_02_P3250000CDFH330111202000000120200417<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 부평동2가 64-1번지부산광역시 중구 흑교로 10-1, 3층 (부평동2가)48977황실스포츠댄스20200417102547I2020-04-19 00:23:21.0<NA>384603.915334179805.012356무도학원업사립<NA><NA><NA>764.48<NA><NA><NA><NA>