Overview

Dataset statistics

Number of variables29
Number of observations33
Missing cells282
Missing cells (%)29.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.2 KiB
Average record size in memory254.0 B

Variable types

Numeric9
Categorical7
Text5
Unsupported7
DateTime1

Dataset

Description2021-04-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123176

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
인허가취소일자 has 33 (100.0%) missing valuesMissing
폐업일자 has 22 (66.7%) missing valuesMissing
휴업시작일자 has 33 (100.0%) missing valuesMissing
휴업종료일자 has 33 (100.0%) missing valuesMissing
재개업일자 has 33 (100.0%) missing valuesMissing
소재지전화 has 4 (12.1%) missing valuesMissing
소재지면적 has 33 (100.0%) missing valuesMissing
소재지우편번호 has 13 (39.4%) missing valuesMissing
도로명우편번호 has 10 (30.3%) missing valuesMissing
업태구분명 has 33 (100.0%) missing valuesMissing
좌표정보(x) has 1 (3.0%) missing valuesMissing
좌표정보(y) has 1 (3.0%) missing valuesMissing
Unnamed: 28 has 33 (100.0%) missing valuesMissing
번호 has unique valuesUnique
인허가일자 has unique valuesUnique
소재지전체주소 has unique valuesUnique
도로명전체주소 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정시점 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
Unnamed: 28 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-16 14:01:24.768408
Analysis finished2024-04-16 14:01:25.295361
Duration0.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17
Minimum1
Maximum33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-04-16T23:01:25.377908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.6
Q19
median17
Q325
95-th percentile31.4
Maximum33
Range32
Interquartile range (IQR)16

Descriptive statistics

Standard deviation9.6695398
Coefficient of variation (CV)0.56879646
Kurtosis-1.2
Mean17
Median Absolute Deviation (MAD)8
Skewness0
Sum561
Variance93.5
MonotonicityStrictly increasing
2024-04-16T23:01:25.525154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
1 1
 
3.0%
26 1
 
3.0%
20 1
 
3.0%
21 1
 
3.0%
22 1
 
3.0%
23 1
 
3.0%
24 1
 
3.0%
25 1
 
3.0%
27 1
 
3.0%
2 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
1 1
3.0%
2 1
3.0%
3 1
3.0%
4 1
3.0%
5 1
3.0%
6 1
3.0%
7 1
3.0%
8 1
3.0%
9 1
3.0%
10 1
3.0%
ValueCountFrequency (%)
33 1
3.0%
32 1
3.0%
31 1
3.0%
30 1
3.0%
29 1
3.0%
28 1
3.0%
27 1
3.0%
26 1
3.0%
25 1
3.0%
24 1
3.0%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
종합체육시설업
33 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
종합체육시설업 33
100.0%

Length

2024-04-16T23:01:25.703388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T23:01:25.812010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
종합체육시설업 33
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
10_37_01_P
33 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10_37_01_P
2nd row10_37_01_P
3rd row10_37_01_P
4th row10_37_01_P
5th row10_37_01_P

Common Values

ValueCountFrequency (%)
10_37_01_P 33
100.0%

Length

2024-04-16T23:01:25.928530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T23:01:26.037340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10_37_01_p 33
100.0%

개방자치단체코드
Real number (ℝ)

Distinct13
Distinct (%)39.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3326969.7
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-04-16T23:01:26.143446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3270000
Q13290000
median3330000
Q33350000
95-th percentile3390000
Maximum3400000
Range150000
Interquartile range (IQR)60000

Descriptive statistics

Standard deviation41794.501
Coefficient of variation (CV)0.012562333
Kurtosis-0.91725734
Mean3326969.7
Median Absolute Deviation (MAD)30000
Skewness0.049700445
Sum1.0979 × 108
Variance1.7467803 × 109
MonotonicityIncreasing
2024-04-16T23:01:26.295726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
3330000 7
21.2%
3270000 4
12.1%
3320000 3
9.1%
3380000 3
9.1%
3390000 3
9.1%
3280000 2
 
6.1%
3290000 2
 
6.1%
3300000 2
 
6.1%
3340000 2
 
6.1%
3350000 2
 
6.1%
Other values (3) 3
9.1%
ValueCountFrequency (%)
3250000 1
 
3.0%
3270000 4
12.1%
3280000 2
 
6.1%
3290000 2
 
6.1%
3300000 2
 
6.1%
3320000 3
9.1%
3330000 7
21.2%
3340000 2
 
6.1%
3350000 2
 
6.1%
3360000 1
 
3.0%
ValueCountFrequency (%)
3400000 1
 
3.0%
3390000 3
9.1%
3380000 3
9.1%
3360000 1
 
3.0%
3350000 2
 
6.1%
3340000 2
 
6.1%
3330000 7
21.2%
3320000 3
9.1%
3300000 2
 
6.1%
3290000 2
 
6.1%

관리번호
Text

Distinct21
Distinct (%)63.6%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-04-16T23:01:26.511521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters660
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

Unique14 ?
Unique (%)42.4%

Sample

1st rowCDFH3301261991000001
2nd rowCDFH3301261995000001
3rd rowCDFH3301262015000001
4th rowCDFH3301261993000001
5th rowCDFH3301261997000001
ValueCountFrequency (%)
cdfh3301262007000001 5
15.2%
cdfh3301262015000001 4
 
12.1%
cdfh3301261993000001 2
 
6.1%
cdfh3301261997000001 2
 
6.1%
cdfh3301262009000001 2
 
6.1%
cdfh3301262011000001 2
 
6.1%
cdfh3301262019000001 2
 
6.1%
cdfh3301262014000001 1
 
3.0%
cdfh3301261991000001 1
 
3.0%
cdfh3301262013000001 1
 
3.0%
Other values (11) 11
33.3%
2024-04-16T23:01:26.890435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 236
35.8%
1 88
 
13.3%
3 70
 
10.6%
2 64
 
9.7%
6 34
 
5.2%
C 33
 
5.0%
D 33
 
5.0%
F 33
 
5.0%
H 33
 
5.0%
9 21
 
3.2%
Other values (4) 15
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 528
80.0%
Uppercase Letter 132
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 236
44.7%
1 88
 
16.7%
3 70
 
13.3%
2 64
 
12.1%
6 34
 
6.4%
9 21
 
4.0%
7 8
 
1.5%
5 5
 
0.9%
8 1
 
0.2%
4 1
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
C 33
25.0%
D 33
25.0%
F 33
25.0%
H 33
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 528
80.0%
Latin 132
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 236
44.7%
1 88
 
16.7%
3 70
 
13.3%
2 64
 
12.1%
6 34
 
6.4%
9 21
 
4.0%
7 8
 
1.5%
5 5
 
0.9%
8 1
 
0.2%
4 1
 
0.2%
Latin
ValueCountFrequency (%)
C 33
25.0%
D 33
25.0%
F 33
25.0%
H 33
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 660
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 236
35.8%
1 88
 
13.3%
3 70
 
10.6%
2 64
 
9.7%
6 34
 
5.2%
C 33
 
5.0%
D 33
 
5.0%
F 33
 
5.0%
H 33
 
5.0%
9 21
 
3.2%
Other values (4) 15
 
2.3%

인허가일자
Real number (ℝ)

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20077077
Minimum19901206
Maximum20200914
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-04-16T23:01:27.076921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19901206
5-th percentile19916672
Q120011101
median20090616
Q320150903
95-th percentile20194438
Maximum20200914
Range299708
Interquartile range (IQR)139802

Descriptive statistics

Standard deviation93815.144
Coefficient of variation (CV)0.0046727491
Kurtosis-0.88412759
Mean20077077
Median Absolute Deviation (MAD)60293
Skewness-0.55094224
Sum6.6254354 × 108
Variance8.8012813 × 109
MonotonicityNot monotonic
2024-04-16T23:01:27.249762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
19910610 1
 
3.0%
20151218 1
 
3.0%
20130125 1
 
3.0%
20200914 1
 
3.0%
20190326 1
 
3.0%
20190329 1
 
3.0%
20080611 1
 
3.0%
20190313 1
 
3.0%
20110630 1
 
3.0%
19950912 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
19901206 1
3.0%
19910610 1
3.0%
19920713 1
3.0%
19930130 1
3.0%
19930629 1
3.0%
19950912 1
3.0%
19970205 1
3.0%
19971210 1
3.0%
20011101 1
3.0%
20060629 1
3.0%
ValueCountFrequency (%)
20200914 1
3.0%
20200602 1
3.0%
20190329 1
3.0%
20190326 1
3.0%
20190313 1
3.0%
20170816 1
3.0%
20151218 1
3.0%
20150909 1
3.0%
20150903 1
3.0%
20150618 1
3.0%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

영업상태구분코드
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
1
22 
3
11 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row3
3rd row3
4th row3
5th row1

Common Values

ValueCountFrequency (%)
1 22
66.7%
3 11
33.3%

Length

2024-04-16T23:01:27.406998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T23:01:27.530103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 22
66.7%
3 11
33.3%

영업상태명
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
영업/정상
22 
폐업
11 

Length

Max length5
Median length5
Mean length4
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 22
66.7%
폐업 11
33.3%

Length

2024-04-16T23:01:27.659490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T23:01:27.797839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 22
66.7%
폐업 11
33.3%

상세영업상태코드
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
13
22 
3
11 

Length

Max length2
Median length2
Mean length1.6666667
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row13
2nd row3
3rd row3
4th row3
5th row13

Common Values

ValueCountFrequency (%)
13 22
66.7%
3 11
33.3%

Length

2024-04-16T23:01:27.909976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T23:01:28.015218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 22
66.7%
3 11
33.3%

상세영업상태명
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
영업중
22 
폐업
11 

Length

Max length3
Median length3
Mean length2.6666667
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 22
66.7%
폐업 11
33.3%

Length

2024-04-16T23:01:28.130388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T23:01:28.242272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 22
66.7%
폐업 11
33.3%

폐업일자
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)100.0%
Missing22
Missing (%)66.7%
Infinite0
Infinite (%)0.0%
Mean20148837
Minimum20090810
Maximum20210218
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-04-16T23:01:28.363608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090810
5-th percentile20100510
Q120136016
median20150715
Q320165572
95-th percentile20190573
Maximum20210218
Range119408
Interquartile range (IQR)29556.5

Descriptive statistics

Standard deviation31800.605
Coefficient of variation (CV)0.0015782849
Kurtosis0.91395186
Mean20148837
Median Absolute Deviation (MAD)19711
Skewness-0.020648576
Sum2.216372 × 108
Variance1.0112785 × 109
MonotonicityNot monotonic
2024-04-16T23:01:28.502667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
20090810 1
 
3.0%
20210218 1
 
3.0%
20141128 1
 
3.0%
20150319 1
 
3.0%
20130904 1
 
3.0%
20150826 1
 
3.0%
20160719 1
 
3.0%
20170928 1
 
3.0%
20110210 1
 
3.0%
20170426 1
 
3.0%
(Missing) 22
66.7%
ValueCountFrequency (%)
20090810 1
3.0%
20110210 1
3.0%
20130904 1
3.0%
20141128 1
3.0%
20150319 1
3.0%
20150715 1
3.0%
20150826 1
3.0%
20160719 1
3.0%
20170426 1
3.0%
20170928 1
3.0%
ValueCountFrequency (%)
20210218 1
3.0%
20170928 1
3.0%
20170426 1
3.0%
20160719 1
3.0%
20150826 1
3.0%
20150715 1
3.0%
20150319 1
3.0%
20141128 1
3.0%
20130904 1
3.0%
20110210 1
3.0%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

소재지전화
Text

MISSING 

Distinct29
Distinct (%)100.0%
Missing4
Missing (%)12.1%
Memory size396.0 B
2024-04-16T23:01:28.754699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length11.206897
Min length8

Characters and Unicode

Total characters325
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st row051-248-6334~5
2nd row667-0921
3rd row051-639-0280
4th row630-6789
5th row441-3332
ValueCountFrequency (%)
051-248-6334~5 1
 
3.4%
051-544-5288 1
 
3.4%
667-0921 1
 
3.4%
051-319-7330 1
 
3.4%
611-6689 1
 
3.4%
0517902340 1
 
3.4%
622-7200 1
 
3.4%
051-717-3555 1
 
3.4%
051-559-4006 1
 
3.4%
051)550-1430 1
 
3.4%
Other values (19) 19
65.5%
2024-04-16T23:01:29.149644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 63
19.4%
5 44
13.5%
- 44
13.5%
1 43
13.2%
3 25
 
7.7%
2 22
 
6.8%
7 22
 
6.8%
6 21
 
6.5%
4 15
 
4.6%
8 12
 
3.7%
Other values (4) 14
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 275
84.6%
Dash Punctuation 44
 
13.5%
Close Punctuation 3
 
0.9%
Math Symbol 2
 
0.6%
Other Punctuation 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 63
22.9%
5 44
16.0%
1 43
15.6%
3 25
 
9.1%
2 22
 
8.0%
7 22
 
8.0%
6 21
 
7.6%
4 15
 
5.5%
8 12
 
4.4%
9 8
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 325
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 63
19.4%
5 44
13.5%
- 44
13.5%
1 43
13.2%
3 25
 
7.7%
2 22
 
6.8%
7 22
 
6.8%
6 21
 
6.5%
4 15
 
4.6%
8 12
 
3.7%
Other values (4) 14
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 325
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 63
19.4%
5 44
13.5%
- 44
13.5%
1 43
13.2%
3 25
 
7.7%
2 22
 
6.8%
7 22
 
6.8%
6 21
 
6.5%
4 15
 
4.6%
8 12
 
3.7%
Other values (4) 14
 
4.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)100.0%
Missing13
Missing (%)39.4%
Infinite0
Infinite (%)0.0%
Mean611227.85
Minimum601705
Maximum617838
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-04-16T23:01:29.313633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum601705
5-th percentile601798.1
Q1607489.25
median612762
Q3614394.5
95-th percentile617809.5
Maximum617838
Range16133
Interquartile range (IQR)6905.25

Descriptive statistics

Standard deviation5239.9181
Coefficient of variation (CV)0.0085727738
Kurtosis-0.54144214
Mean611227.85
Median Absolute Deviation (MAD)3729.5
Skewness-0.67251127
Sum12224557
Variance27456741
MonotonicityNot monotonic
2024-04-16T23:01:29.468780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
612805 1
 
3.0%
617838 1
 
3.0%
617808 1
 
3.0%
613819 1
 
3.0%
613805 1
 
3.0%
613011 1
 
3.0%
609370 1
 
3.0%
612021 1
 
3.0%
612060 1
 
3.0%
601803 1
 
3.0%
Other values (10) 10
30.3%
(Missing) 13
39.4%
ValueCountFrequency (%)
601705 1
3.0%
601803 1
3.0%
601836 1
3.0%
606804 1
3.0%
606809 1
3.0%
607716 1
3.0%
609370 1
3.0%
612021 1
3.0%
612060 1
3.0%
612719 1
3.0%
ValueCountFrequency (%)
617838 1
3.0%
617808 1
3.0%
616854 1
3.0%
616829 1
3.0%
616121 1
3.0%
613819 1
3.0%
613805 1
3.0%
613011 1
3.0%
612824 1
3.0%
612805 1
3.0%

소재지전체주소
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-04-16T23:01:29.791291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length31
Mean length25.393939
Min length17

Characters and Unicode

Total characters838
Distinct characters126
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)100.0%

Sample

1st row부산광역시 중구 보수동1가 145-28번지
2nd row부산광역시 동구 범일동 62-5번지 현대백화점 9층
3rd row부산광역시 동구 범일동 828-9 3,4,6층
4th row부산광역시 동구 범일동 828-9번지 부산상록회관
5th row부산광역시 동구 초량동 1143-13번지 YMCA빌딩
ValueCountFrequency (%)
부산광역시 33
 
20.5%
해운대구 7
 
4.3%
사상구 4
 
2.5%
동구 4
 
2.5%
범일동 3
 
1.9%
수영구 3
 
1.9%
북구 3
 
1.9%
동래구 2
 
1.2%
화명동 2
 
1.2%
1638번지 2
 
1.2%
Other values (88) 98
60.9%
2024-04-16T23:01:30.283256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
128
 
15.3%
동 41
 
4.9%
부 38
 
4.5%
산 38
 
4.5%
1 37
 
4.4%
시 36
 
4.3%
구 35
 
4.2%
광 34
 
4.1%
역 34
 
4.1%
지 29
 
3.5%
Other values (116) 388
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 520
62.1%
Decimal Number 157
 
18.7%
Space Separator 128
 
15.3%
Dash Punctuation 26
 
3.1%
Uppercase Letter 4
 
0.5%
Other Punctuation 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 41
 
7.9%
부 38
 
7.3%
산 38
 
7.3%
시 36
 
6.9%
구 35
 
6.7%
광 34
 
6.5%
역 34
 
6.5%
지 29
 
5.6%
번 26
 
5.0%
대 9
 
1.7%
Other values (99) 200
38.5%
Decimal Number
ValueCountFrequency (%)
1 37
23.6%
2 22
14.0%
5 17
10.8%
3 15
9.6%
4 14
 
8.9%
8 14
 
8.9%
9 12
 
7.6%
6 12
 
7.6%
0 10
 
6.4%
7 4
 
2.5%
Uppercase Letter
ValueCountFrequency (%)
A 1
25.0%
C 1
25.0%
M 1
25.0%
Y 1
25.0%
Space Separator
ValueCountFrequency (%)
128
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 520
62.1%
Common 314
37.5%
Latin 4
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 41
 
7.9%
부 38
 
7.3%
산 38
 
7.3%
시 36
 
6.9%
구 35
 
6.7%
광 34
 
6.5%
역 34
 
6.5%
지 29
 
5.6%
번 26
 
5.0%
대 9
 
1.7%
Other values (99) 200
38.5%
Common
ValueCountFrequency (%)
128
40.8%
1 37
 
11.8%
- 26
 
8.3%
2 22
 
7.0%
5 17
 
5.4%
3 15
 
4.8%
4 14
 
4.5%
8 14
 
4.5%
9 12
 
3.8%
6 12
 
3.8%
Other values (3) 17
 
5.4%
Latin
ValueCountFrequency (%)
A 1
25.0%
C 1
25.0%
M 1
25.0%
Y 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 520
62.1%
ASCII 318
37.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
128
40.3%
1 37
 
11.6%
- 26
 
8.2%
2 22
 
6.9%
5 17
 
5.3%
3 15
 
4.7%
4 14
 
4.4%
8 14
 
4.4%
9 12
 
3.8%
6 12
 
3.8%
Other values (7) 21
 
6.6%
Hangul
ValueCountFrequency (%)
동 41
 
7.9%
부 38
 
7.3%
산 38
 
7.3%
시 36
 
6.9%
구 35
 
6.7%
광 34
 
6.5%
역 34
 
6.5%
지 29
 
5.6%
번 26
 
5.0%
대 9
 
1.7%
Other values (99) 200
38.5%

도로명전체주소
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-04-16T23:01:30.633669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length36
Mean length31.727273
Min length22

Characters and Unicode

Total characters1047
Distinct characters151
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

Unique33 ?
Unique (%)100.0%

Sample

1st row부산광역시 중구 고가길 32 (보수동1가)
2nd row부산광역시 동구 범일로 125 (범일동,현대백화점 9층)
3rd row부산광역시 동구 조방로 4, 3,4,6층 (범일동, 천우제이와이)
4th row부산광역시 동구 조방로 4, 6층 (범일동, 부산상록회관)
5th row부산광역시 동구 중앙대로 319, 5,6층 (초량동, YMCA빌딩)
ValueCountFrequency (%)
부산광역시 33
 
16.8%
해운대구 7
 
3.6%
사상구 4
 
2.0%
동구 4
 
2.0%
북구 3
 
1.5%
수영구 3
 
1.5%
동래구 3
 
1.5%
온천동 2
 
1.0%
금정구 2
 
1.0%
122 2
 
1.0%
Other values (117) 133
67.9%
2024-04-16T23:01:31.181925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
168
 
16.0%
동 44
 
4.2%
시 39
 
3.7%
부 38
 
3.6%
산 38
 
3.6%
구 37
 
3.5%
광 35
 
3.3%
역 34
 
3.2%
( 32
 
3.1%
) 32
 
3.1%
Other values (141) 550
52.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 648
61.9%
Space Separator 168
 
16.0%
Decimal Number 134
 
12.8%
Open Punctuation 32
 
3.1%
Close Punctuation 32
 
3.1%
Other Punctuation 27
 
2.6%
Uppercase Letter 4
 
0.4%
Math Symbol 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 44
 
6.8%
시 39
 
6.0%
부 38
 
5.9%
산 38
 
5.9%
구 37
 
5.7%
광 35
 
5.4%
역 34
 
5.2%
로 31
 
4.8%
대 17
 
2.6%
길 14
 
2.2%
Other values (121) 321
49.5%
Decimal Number
ValueCountFrequency (%)
2 26
19.4%
1 25
18.7%
3 19
14.2%
5 12
9.0%
4 11
8.2%
7 10
 
7.5%
9 10
 
7.5%
6 8
 
6.0%
0 7
 
5.2%
8 6
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
A 1
25.0%
C 1
25.0%
M 1
25.0%
Y 1
25.0%
Space Separator
ValueCountFrequency (%)
168
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Other Punctuation
ValueCountFrequency (%)
, 27
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 648
61.9%
Common 395
37.7%
Latin 4
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 44
 
6.8%
시 39
 
6.0%
부 38
 
5.9%
산 38
 
5.9%
구 37
 
5.7%
광 35
 
5.4%
역 34
 
5.2%
로 31
 
4.8%
대 17
 
2.6%
길 14
 
2.2%
Other values (121) 321
49.5%
Common
ValueCountFrequency (%)
168
42.5%
( 32
 
8.1%
) 32
 
8.1%
, 27
 
6.8%
2 26
 
6.6%
1 25
 
6.3%
3 19
 
4.8%
5 12
 
3.0%
4 11
 
2.8%
7 10
 
2.5%
Other values (6) 33
 
8.4%
Latin
ValueCountFrequency (%)
A 1
25.0%
C 1
25.0%
M 1
25.0%
Y 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 648
61.9%
ASCII 399
38.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
168
42.1%
( 32
 
8.0%
) 32
 
8.0%
, 27
 
6.8%
2 26
 
6.5%
1 25
 
6.3%
3 19
 
4.8%
5 12
 
3.0%
4 11
 
2.8%
7 10
 
2.5%
Other values (10) 37
 
9.3%
Hangul
ValueCountFrequency (%)
동 44
 
6.8%
시 39
 
6.0%
부 38
 
5.9%
산 38
 
5.9%
구 37
 
5.7%
광 35
 
5.4%
역 34
 
5.2%
로 31
 
4.8%
대 17
 
2.6%
길 14
 
2.2%
Other values (121) 321
49.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)95.7%
Missing10
Missing (%)30.3%
Infinite0
Infinite (%)0.0%
Mean121448.96
Minimum46036
Maximum617838
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-04-16T23:01:31.337392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46036
5-th percentile46260.7
Q147153.5
median48099
Q349040.5
95-th percentile616197.7
Maximum617838
Range571802
Interquartile range (IQR)1887

Descriptive statistics

Standard deviation194460.62
Coefficient of variation (CV)1.6011716
Kurtosis3.8622399
Mean121448.96
Median Absolute Deviation (MAD)1015
Skewness2.3517385
Sum2793326
Variance3.7814934 × 1010
MonotonicityNot monotonic
2024-04-16T23:01:31.488915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
48099 2
 
6.1%
46036 1
 
3.0%
47022 1
 
3.0%
617838 1
 
3.0%
617808 1
 
3.0%
46720 1
 
3.0%
46230 1
 
3.0%
49445 1
 
3.0%
49300 1
 
3.0%
48120 1
 
3.0%
Other values (12) 12
36.4%
(Missing) 10
30.3%
ValueCountFrequency (%)
46036 1
3.0%
46230 1
3.0%
46537 1
3.0%
46563 1
3.0%
46720 1
3.0%
47022 1
3.0%
47285 1
3.0%
47312 1
3.0%
47727 1
3.0%
47827 1
3.0%
ValueCountFrequency (%)
617838 1
3.0%
617808 1
3.0%
601705 1
3.0%
49445 1
3.0%
49300 1
3.0%
49114 1
3.0%
48967 1
3.0%
48792 1
3.0%
48743 1
3.0%
48120 1
3.0%

사업장명
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-04-16T23:01:31.730941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length15
Mean length10.606061
Min length6

Characters and Unicode

Total characters350
Distinct characters111
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)100.0%

Sample

1st row한신스포렉스
2nd row현대스포츠센터
3rd row아시아드 스포츠클럽
4th row상록스포렉스
5th row클래스윔 스포츠센터
ValueCountFrequency (%)
스포츠센터 4
 
7.5%
부산 2
 
3.8%
국민체육센터 2
 
3.8%
한신스포렉스 1
 
1.9%
사하구국민체육센터 1
 
1.9%
시그니엘 1
 
1.9%
루미 1
 
1.9%
스파 1
 
1.9%
피트니스 1
 
1.9%
주)조선호텔앤리조트 1
 
1.9%
Other values (38) 38
71.7%
2024-04-16T23:01:32.170449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 25
 
7.1%
20
 
5.7%
센 19
 
5.4%
포 18
 
5.1%
터 18
 
5.1%
츠 14
 
4.0%
국 8
 
2.3%
육 8
 
2.3%
체 8
 
2.3%
민 8
 
2.3%
Other values (101) 204
58.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 293
83.7%
Uppercase Letter 25
 
7.1%
Space Separator 20
 
5.7%
Open Punctuation 4
 
1.1%
Close Punctuation 4
 
1.1%
Lowercase Letter 2
 
0.6%
Dash Punctuation 1
 
0.3%
Decimal Number 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 25
 
8.5%
센 19
 
6.5%
포 18
 
6.1%
터 18
 
6.1%
츠 14
 
4.8%
국 8
 
2.7%
육 8
 
2.7%
체 8
 
2.7%
민 8
 
2.7%
구 7
 
2.4%
Other values (81) 160
54.6%
Uppercase Letter
ValueCountFrequency (%)
P 4
16.0%
S 3
12.0%
O 3
12.0%
A 2
8.0%
C 2
8.0%
T 2
8.0%
R 2
8.0%
G 2
8.0%
L 1
 
4.0%
K 1
 
4.0%
Other values (3) 3
12.0%
Lowercase Letter
ValueCountFrequency (%)
h 1
50.0%
e 1
50.0%
Space Separator
ValueCountFrequency (%)
20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 293
83.7%
Common 30
 
8.6%
Latin 27
 
7.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 25
 
8.5%
센 19
 
6.5%
포 18
 
6.1%
터 18
 
6.1%
츠 14
 
4.8%
국 8
 
2.7%
육 8
 
2.7%
체 8
 
2.7%
민 8
 
2.7%
구 7
 
2.4%
Other values (81) 160
54.6%
Latin
ValueCountFrequency (%)
P 4
14.8%
S 3
11.1%
O 3
11.1%
A 2
 
7.4%
C 2
 
7.4%
T 2
 
7.4%
R 2
 
7.4%
G 2
 
7.4%
L 1
 
3.7%
K 1
 
3.7%
Other values (5) 5
18.5%
Common
ValueCountFrequency (%)
20
66.7%
( 4
 
13.3%
) 4
 
13.3%
- 1
 
3.3%
1 1
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 293
83.7%
ASCII 57
 
16.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 25
 
8.5%
센 19
 
6.5%
포 18
 
6.1%
터 18
 
6.1%
츠 14
 
4.8%
국 8
 
2.7%
육 8
 
2.7%
체 8
 
2.7%
민 8
 
2.7%
구 7
 
2.4%
Other values (81) 160
54.6%
ASCII
ValueCountFrequency (%)
20
35.1%
P 4
 
7.0%
( 4
 
7.0%
) 4
 
7.0%
S 3
 
5.3%
O 3
 
5.3%
A 2
 
3.5%
C 2
 
3.5%
T 2
 
3.5%
R 2
 
3.5%
Other values (10) 11
19.3%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0176944 × 1013
Minimum2.009081 × 1013
Maximum2.0210218 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-04-16T23:01:32.331152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.009081 × 1013
5-th percentile2.0122627 × 1013
Q12.0160719 × 1013
median2.0190128 × 1013
Q32.0200526 × 1013
95-th percentile2.0210213 × 1013
Maximum2.0210218 × 1013
Range1.1940797 × 1011
Interquartile range (IQR)3.9807073 × 1010

Descriptive statistics

Standard deviation3.0316986 × 1010
Coefficient of variation (CV)0.0015025558
Kurtosis0.81310401
Mean2.0176944 × 1013
Median Absolute Deviation (MAD)1.9304962 × 1010
Skewness-1.090721
Sum6.6583916 × 1014
Variance9.1911961 × 1020
MonotonicityNot monotonic
2024-04-16T23:01:32.489036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
20190228143351 1
 
3.0%
20190128104648 1
 
3.0%
20201223095825 1
 
3.0%
20210126184052 1
 
3.0%
20190326154640 1
 
3.0%
20190329091410 1
 
3.0%
20110210154915 1
 
3.0%
20210218125643 1
 
3.0%
20170616173936 1
 
3.0%
20090810181708 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
20090810181708 1
3.0%
20110210154915 1
3.0%
20130904114807 1
3.0%
20140114143147 1
3.0%
20141128155104 1
3.0%
20150319135528 1
3.0%
20150715162656 1
3.0%
20150826151748 1
3.0%
20160719101046 1
3.0%
20170530113559 1
3.0%
ValueCountFrequency (%)
20210218154001 1
3.0%
20210218125643 1
3.0%
20210210113214 1
3.0%
20210126184052 1
3.0%
20201223095825 1
3.0%
20201019190120 1
3.0%
20200911153040 1
3.0%
20200602171213 1
3.0%
20200526173755 1
3.0%
20200519084152 1
3.0%

데이터갱신구분
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
I
18 
U
15 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 18
54.5%
U 15
45.5%

Length

2024-04-16T23:01:32.647675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T23:01:32.757747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 18
54.5%
u 15
45.5%

데이터갱신일자
Date

Distinct18
Distinct (%)54.5%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum2018-08-31 23:59:59
Maximum2021-02-20 02:40:00
2024-04-16T23:01:32.858380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T23:01:33.546261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)93.8%
Missing1
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean388711.35
Minimum377435.42
Maximum409066.55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-04-16T23:01:33.704883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum377435.42
5-th percentile379387.83
Q1384464.29
median388396.42
Q3392461.02
95-th percentile396250.42
Maximum409066.55
Range31631.129
Interquartile range (IQR)7996.7287

Descriptive statistics

Standard deviation6349.0632
Coefficient of variation (CV)0.01633362
Kurtosis2.1118446
Mean388711.35
Median Absolute Deviation (MAD)4244.5419
Skewness0.77558451
Sum12438763
Variance40310604
MonotonicityNot monotonic
2024-04-16T23:01:33.857177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
388054.117193921 2
 
6.1%
393143.35262625 2
 
6.1%
384753.432651155 1
 
3.0%
397022.971550345 1
 
3.0%
409066.553206529 1
 
3.0%
381704.216984208 1
 
3.0%
382219.802978731 1
 
3.0%
380345.66973977 1
 
3.0%
392100.143581751 1
 
3.0%
393000.846002969 1
 
3.0%
Other values (20) 20
60.6%
ValueCountFrequency (%)
377435.42428816 1
3.0%
378217.143109621 1
3.0%
380345.66973977 1
3.0%
381704.216984208 1
3.0%
382208.240068481 1
3.0%
382219.802978731 1
3.0%
383196.567561226 1
3.0%
383596.875018578 1
3.0%
384753.432651155 1
3.0%
384974.413687704 1
3.0%
ValueCountFrequency (%)
409066.553206529 1
3.0%
397022.971550345 1
3.0%
395618.339943865 1
3.0%
395442.937304107 1
3.0%
395089.374582997 1
3.0%
393143.35262625 2
6.1%
393000.846002969 1
3.0%
392281.080537932 1
3.0%
392100.143581751 1
3.0%
391519.106057 1
3.0%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)93.8%
Missing1
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean187667.44
Minimum177053.82
Maximum205530.68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-04-16T23:01:34.010420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum177053.82
5-th percentile177974.37
Q1184144.88
median186172.63
Q3191519.93
95-th percentile198833.58
Maximum205530.68
Range28476.855
Interquartile range (IQR)7375.0554

Descriptive statistics

Standard deviation6513.3133
Coefficient of variation (CV)0.034706678
Kurtosis0.76274721
Mean187667.44
Median Absolute Deviation (MAD)4330.5836
Skewness0.73586206
Sum6005358
Variance42423251
MonotonicityNot monotonic
2024-04-16T23:01:34.170846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
184024.698088642 2
 
6.1%
191263.088957516 2
 
6.1%
180176.033804153 1
 
3.0%
186692.06462196 1
 
3.0%
205530.677770268 1
 
3.0%
184957.197796515 1
 
3.0%
185160.862247713 1
 
3.0%
186854.553375945 1
 
3.0%
184184.93754424 1
 
3.0%
185934.805960605 1
 
3.0%
Other values (20) 20
60.6%
ValueCountFrequency (%)
177053.822821527 1
3.0%
177284.095401433 1
3.0%
178539.144834593 1
3.0%
180176.033804153 1
3.0%
180670.375796899 1
3.0%
182601.921680056 1
3.0%
184024.698088642 2
6.1%
184184.93754424 1
3.0%
184402.96650913 1
3.0%
184957.197796515 1
3.0%
ValueCountFrequency (%)
205530.677770268 1
3.0%
201135.192463 1
3.0%
196950.450593302 1
3.0%
194408.509040309 1
3.0%
194321.203111908 1
3.0%
194017.963600245 1
3.0%
192260.811648263 1
3.0%
192066.207673337 1
3.0%
191337.841510374 1
3.0%
191263.088957516 2
6.1%

Unnamed: 28
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)Unnamed: 28
01종합체육시설업10_37_01_P3250000CDFH330126199100000119910610<NA>1영업/정상13영업중<NA><NA><NA><NA>051-248-6334~5<NA><NA>부산광역시 중구 보수동1가 145-28번지부산광역시 중구 고가길 32 (보수동1가)48967한신스포렉스20190228143351U2019-03-02 02:40:00.0<NA>384753.432651180176.033804<NA>
12종합체육시설업10_37_01_P3270000CDFH330126199500000119950912<NA>3폐업3폐업20090810<NA><NA><NA>667-0921<NA>601803부산광역시 동구 범일동 62-5번지 현대백화점 9층부산광역시 동구 범일로 125 (범일동,현대백화점 9층)<NA>현대스포츠센터20090810181708I2018-08-31 23:59:59.0<NA>387539.767678184402.966509<NA>
23종합체육시설업10_37_01_P3270000CDFH330126201500000120150909<NA>3폐업3폐업20210218<NA><NA><NA>051-639-0280<NA><NA>부산광역시 동구 범일동 828-9 3,4,6층부산광역시 동구 조방로 4, 3,4,6층 (범일동, 천우제이와이)48743아시아드 스포츠클럽20210218154001U2021-02-20 02:40:00.0<NA>388054.117194184024.698089<NA>
34종합체육시설업10_37_01_P3270000CDFH330126199300000119930130<NA>3폐업3폐업20141128<NA><NA><NA>630-6789<NA>601705부산광역시 동구 범일동 828-9번지 부산상록회관부산광역시 동구 조방로 4, 6층 (범일동, 부산상록회관)601705상록스포렉스20141128155104I2018-08-31 23:59:59.0<NA>388054.117194184024.698089<NA>
45종합체육시설업10_37_01_P3270000CDFH330126199700000119971210<NA>1영업/정상13영업중<NA><NA><NA><NA>441-3332<NA>601836부산광역시 동구 초량동 1143-13번지 YMCA빌딩부산광역시 동구 중앙대로 319, 5,6층 (초량동, YMCA빌딩)48792클래스윔 스포츠센터20200526173755U2020-05-28 02:40:00.0<NA>386328.536514182601.92168<NA>
56종합체육시설업10_37_01_P3280000CDFH330126200700000120071026<NA>3폐업3폐업20150319<NA><NA><NA>051-410-5050<NA>606804부산광역시 영도구 동삼동 1번지부산광역시 영도구 태종로 727 (동삼동)<NA>한국해양대레포츠센터20150319135528I2018-08-31 23:59:59.0<NA>390593.563078177284.095401<NA>
67종합체육시설업10_37_01_P3280000CDFH330126200900000120091210<NA>1영업/정상13영업중<NA><NA><NA><NA>051-405-0050<NA>606809부산광역시 영도구 동삼동 516-1번지 영도 문화예술회관부산광역시 영도구 함지로79번길 6 (동삼동)49114영도국민체육센터20200129190610U2020-01-31 02:40:00.0<NA>388368.918455177053.822822<NA>
78종합체육시설업10_37_01_P3290000CDFH330126199700000119970205<NA>1영업/정상13영업중<NA><NA><NA><NA>051-810-5330<NA><NA>부산광역시 부산진구 부전동 503-15부산광역시 부산진구 가야대로 772, 6-7층 (부전동)47285롯데헬스클럽20210210113214U2021-02-12 02:40:00.0<NA>387271.299492186099.137533<NA>
89종합체육시설업10_37_01_P3290000CDFH330126201700000120170816<NA>1영업/정상13영업중<NA><NA><NA><NA>051-710-7628<NA><NA>부산광역시 부산진구 전포동 326-11번지부산광역시 부산진구 진남로328번길 35 (전포동)47312부산진구 국민체육센터20170816140419I2018-08-31 23:59:59.0<NA>388893.632939185993.369754<NA>
910종합체육시설업10_37_01_P3300000CDFH330126200100000120011101<NA>1영업/정상13영업중<NA><NA><NA><NA>668-2353<NA>607716부산광역시 동래구 온천동 502-3 롯데백화점 11층 12층부산광역시 동래구 중앙대로 1393, 11~12층 (온천동)47727롯데백화점 스포츠센터20201019190120U2020-10-21 02:40:00.0<NA>389097.800934192260.811648<NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)Unnamed: 28
2324종합체육시설업10_37_01_P3350000CDFH330126200800000120080611<NA>3폐업3폐업20110210<NA><NA><NA>051)550-1430<NA>609370부산광역시 금정구 두구동 669번지부산광역시 금정구 체육공원로399번길 324 (두구동)<NA>SPO1PARK 스포츠센터20110210154915I2018-08-31 23:59:59.0<NA>391519.106057201135.192463<NA>
2425종합체육시설업10_37_01_P3350000CDFH330126201900000120190313<NA>1영업/정상13영업중<NA><NA><NA><NA>051-559-4006<NA><NA>부산광역시 금정구 구서동 203-5 금정산온천 레포츠부산광역시 금정구 구서중앙로15번길 20, 금정산온천 레포츠 (구서동)46230금정산온천레포츠-(주)스포케이20210218125643U2021-02-20 02:40:00.0<NA>390057.531835196950.450593<NA>
2526종합체육시설업10_37_01_P3360000CDFH330126201500000120151218<NA>1영업/정상13영업중<NA><NA><NA><NA>051-717-3555<NA><NA>부산광역시 강서구 대저2동 1932-1번지부산광역시 강서구 공항로811번길 10 (대저2동, 강서브라이트센터)46720강서구 국민체육센터20190128104648U2019-01-30 02:40:00.0<NA>378217.14311188532.511214<NA>
2627종합체육시설업10_37_01_P3380000CDFH330126201100000120110630<NA>3폐업3폐업20170426<NA><NA><NA>622-7200<NA>613011부산광역시 수영구 남천동 29-4번지 극동레포츠타운부산광역시 수영구 남천바다로10번길 72 (남천동,극동레포츠타운)<NA>극동레포츠타운20170616173936I2018-08-31 23:59:59.0<NA>392281.080538185108.924064<NA>
2728종합체육시설업10_37_01_P3380000CDFH330126200700000120070518<NA>1영업/정상13영업중<NA><NA><NA><NA>0517902340<NA>613805부산광역시 수영구 광안동 192-5번지 외 4필지부산광역시 수영구 광안해변로 225 (광안동,외 4필지)<NA>호텔아쿠아펠리스 지점20170831154818I2018-08-31 23:59:59.0<NA>393000.846003185934.805961<NA>
2829종합체육시설업10_37_01_P3380000CDFH330126199000000119901206<NA>1영업/정상13영업중<NA><NA><NA><NA>611-6689<NA>613819부산광역시 수영구 남천동 556-18번지부산광역시 수영구 황령대로497번길 13 (남천동)<NA>거북스포츠프라자20140114143147I2018-08-31 23:59:59.0<NA>392100.143582184184.937544<NA>
2930종합체육시설업10_37_01_P3390000CDFH330126200700000120070212<NA>3폐업3폐업20150715<NA><NA><NA><NA><NA>617808부산광역시 사상구 괘법동 527-2번지부산광역시 사상구 사상로223번길 55 (괘법동)617808사상해수온천휘트니스클럽20150715162656I2018-08-31 23:59:59.0<NA>380345.66974186854.553376<NA>
3031종합체육시설업10_37_01_P3390000CDFH330126199200000119920713<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>617838부산광역시 사상구 주례동 1162-90부산광역시 사상구 학장로324번길 8 (주례동)617838부산시민스포츠센터20200911153040U2020-09-13 02:40:00.0<NA>382219.802979185160.862248<NA>
3132종합체육시설업10_37_01_P3390000CDFH330126201500000120150618<NA>1영업/정상13영업중<NA><NA><NA><NA>051-319-7330<NA><NA>부산광역시 사상구 학장동 288-12번지 사상구 다누림센터부산광역시 사상구 가야대로196번길 51, 사상구 다누림센터 (학장동)47022사상구국민체육센터20200513110623U2020-05-15 02:40:00.0<NA>381704.216984184957.197797<NA>
3233종합체육시설업10_37_01_P3400000CDFH330126200700000120070611<NA>1영업/정상13영업중<NA><NA><NA><NA>051-726-5471~2<NA><NA>부산광역시 기장군 장안읍 길천리 300-4번지 신고리지역협력시설부산광역시 기장군 장안읍 해맞이로 454, 신고리지역협력시설46036고리스포츠문화센터20200519084152U2020-05-21 02:40:00.0<NA>409066.553207205530.67777<NA>