Overview

Dataset statistics

Number of variables64
Number of observations60
Missing cells1855
Missing cells (%)48.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory32.6 KiB
Average record size in memory557.2 B

Variable types

Numeric12
Categorical16
Text7
Unsupported24
DateTime1
Boolean4

Dataset

Description2021-04-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123049

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
문화체육업종명 has constant value ""Constant
휴업시작일자 is highly imbalanced (84.6%)Imbalance
휴업종료일자 is highly imbalanced (84.6%)Imbalance
총층수 is highly imbalanced (63.7%)Imbalance
지하층수 is highly imbalanced (73.1%)Imbalance
놀이시설수 is highly imbalanced (67.0%)Imbalance
인허가취소일자 has 60 (100.0%) missing valuesMissing
폐업일자 has 15 (25.0%) missing valuesMissing
재개업일자 has 60 (100.0%) missing valuesMissing
소재지전화 has 31 (51.7%) missing valuesMissing
소재지면적 has 60 (100.0%) missing valuesMissing
소재지우편번호 has 34 (56.7%) missing valuesMissing
도로명전체주소 has 8 (13.3%) missing valuesMissing
도로명우편번호 has 19 (31.7%) missing valuesMissing
업태구분명 has 60 (100.0%) missing valuesMissing
좌표정보(x) has 1 (1.7%) missing valuesMissing
좌표정보(y) has 1 (1.7%) missing valuesMissing
제작취급품목내용 has 60 (100.0%) missing valuesMissing
보험기관명 has 60 (100.0%) missing valuesMissing
건물용도명 has 49 (81.7%) missing valuesMissing
지상층수 has 52 (86.7%) missing valuesMissing
객실수 has 60 (100.0%) missing valuesMissing
건축연면적 has 60 (100.0%) missing valuesMissing
영문상호명 has 60 (100.0%) missing valuesMissing
영문상호주소 has 60 (100.0%) missing valuesMissing
선박총톤수 has 60 (100.0%) missing valuesMissing
선박척수 has 60 (100.0%) missing valuesMissing
선박제원 has 60 (100.0%) missing valuesMissing
무대면적 has 60 (100.0%) missing valuesMissing
좌석수 has 60 (100.0%) missing valuesMissing
기념품종류 has 60 (100.0%) missing valuesMissing
회의실별동시수용인원 has 60 (100.0%) missing valuesMissing
시설면적 has 45 (75.0%) missing valuesMissing
놀이기구수내역 has 15 (25.0%) missing valuesMissing
방송시설유무 has 22 (36.7%) missing valuesMissing
발전시설유무 has 29 (48.3%) missing valuesMissing
의무실유무 has 27 (45.0%) missing valuesMissing
안내소유무 has 22 (36.7%) missing valuesMissing
기획여행보험시작일자 has 60 (100.0%) missing valuesMissing
기획여행보험종료일자 has 60 (100.0%) missing valuesMissing
자본금 has 60 (100.0%) missing valuesMissing
보험시작일자 has 60 (100.0%) missing valuesMissing
보험종료일자 has 60 (100.0%) missing valuesMissing
부대시설내역 has 60 (100.0%) missing valuesMissing
시설규모 has 45 (75.0%) missing valuesMissing
Unnamed: 63 has 60 (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
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험기관명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
객실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건축연면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영문상호명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영문상호주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박총톤수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박척수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박제원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
무대면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
좌석수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기념품종류 is an unsupported type, check if it needs cleaning or further analysisUnsupported
회의실별동시수용인원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자본금 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
부대시설내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 63 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-16 11:09:02.545090
Analysis finished2024-04-16 11:09:03.174430
Duration0.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.5
Minimum1
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2024-04-16T20:09:03.247079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.95
Q115.75
median30.5
Q345.25
95-th percentile57.05
Maximum60
Range59
Interquartile range (IQR)29.5

Descriptive statistics

Standard deviation17.464249
Coefficient of variation (CV)0.57259833
Kurtosis-1.2
Mean30.5
Median Absolute Deviation (MAD)15
Skewness0
Sum1830
Variance305
MonotonicityStrictly increasing
2024-04-16T20:09:03.372146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.7%
32 1
 
1.7%
34 1
 
1.7%
35 1
 
1.7%
36 1
 
1.7%
37 1
 
1.7%
38 1
 
1.7%
39 1
 
1.7%
40 1
 
1.7%
41 1
 
1.7%
Other values (50) 50
83.3%
ValueCountFrequency (%)
1 1
1.7%
2 1
1.7%
3 1
1.7%
4 1
1.7%
5 1
1.7%
6 1
1.7%
7 1
1.7%
8 1
1.7%
9 1
1.7%
10 1
1.7%
ValueCountFrequency (%)
60 1
1.7%
59 1
1.7%
58 1
1.7%
57 1
1.7%
56 1
1.7%
55 1
1.7%
54 1
1.7%
53 1
1.7%
52 1
1.7%
51 1
1.7%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
일반유원시설업
60 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반유원시설업 60
100.0%

Length

2024-04-16T20:09:03.487007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:09:03.564895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반유원시설업 60
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
03_07_09_P
60 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03_07_09_P
2nd row03_07_09_P
3rd row03_07_09_P
4th row03_07_09_P
5th row03_07_09_P

Common Values

ValueCountFrequency (%)
03_07_09_P 60
100.0%

Length

2024-04-16T20:09:03.651391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:09:03.731068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_07_09_p 60
100.0%

개방자치단체코드
Real number (ℝ)

Distinct14
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3322833.3
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2024-04-16T20:09:03.806171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3250000
Q13300000
median3330000
Q33330000
95-th percentile3400000
Maximum3400000
Range150000
Interquartile range (IQR)30000

Descriptive statistics

Standard deviation38315.889
Coefficient of variation (CV)0.01153109
Kurtosis0.073580293
Mean3322833.3
Median Absolute Deviation (MAD)10000
Skewness0.035340188
Sum1.9937 × 108
Variance1.4681073 × 109
MonotonicityIncreasing
2024-04-16T20:09:03.941566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
3330000 27
45.0%
3250000 5
 
8.3%
3290000 5
 
8.3%
3300000 4
 
6.7%
3400000 4
 
6.7%
3270000 3
 
5.0%
3380000 3
 
5.0%
3320000 2
 
3.3%
3340000 2
 
3.3%
3280000 1
 
1.7%
Other values (4) 4
 
6.7%
ValueCountFrequency (%)
3250000 5
 
8.3%
3270000 3
 
5.0%
3280000 1
 
1.7%
3290000 5
 
8.3%
3300000 4
 
6.7%
3310000 1
 
1.7%
3320000 2
 
3.3%
3330000 27
45.0%
3340000 2
 
3.3%
3350000 1
 
1.7%
ValueCountFrequency (%)
3400000 4
 
6.7%
3390000 1
 
1.7%
3380000 3
 
5.0%
3360000 1
 
1.7%
3350000 1
 
1.7%
3340000 2
 
3.3%
3330000 27
45.0%
3320000 2
 
3.3%
3310000 1
 
1.7%
3300000 4
 
6.7%

관리번호
Text

Distinct40
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
2024-04-16T20:09:04.129500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1200
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

Unique28 ?
Unique (%)46.7%

Sample

1st rowCDFI5271002019000001
2nd rowCDFI5271002011000001
3rd rowCDFI5271002011000002
4th rowCDFI5271002015000001
5th rowCDFI5271002020000001
ValueCountFrequency (%)
cdfi5271002015000001 4
 
6.7%
cdfi5271002018000001 4
 
6.7%
cdfi5271002013000001 4
 
6.7%
cdfi5271002017000001 4
 
6.7%
cdfi5271002010000001 2
 
3.3%
cdfi5271002019000001 2
 
3.3%
cdfi5271002006000001 2
 
3.3%
cdfi5271001990000001 2
 
3.3%
cdfi5271002014000001 2
 
3.3%
cdfi5271002020000001 2
 
3.3%
Other values (30) 32
53.3%
2024-04-16T20:09:04.433242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 490
40.8%
1 149
 
12.4%
2 130
 
10.8%
7 74
 
6.2%
5 67
 
5.6%
C 60
 
5.0%
D 60
 
5.0%
F 60
 
5.0%
I 60
 
5.0%
9 13
 
1.1%
Other values (4) 37
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 960
80.0%
Uppercase Letter 240
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 490
51.0%
1 149
 
15.5%
2 130
 
13.5%
7 74
 
7.7%
5 67
 
7.0%
9 13
 
1.4%
8 12
 
1.2%
3 10
 
1.0%
6 9
 
0.9%
4 6
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
C 60
25.0%
D 60
25.0%
F 60
25.0%
I 60
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 960
80.0%
Latin 240
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 490
51.0%
1 149
 
15.5%
2 130
 
13.5%
7 74
 
7.7%
5 67
 
7.0%
9 13
 
1.4%
8 12
 
1.2%
3 10
 
1.0%
6 9
 
0.9%
4 6
 
0.6%
Latin
ValueCountFrequency (%)
C 60
25.0%
D 60
25.0%
F 60
25.0%
I 60
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1200
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 490
40.8%
1 149
 
12.4%
2 130
 
10.8%
7 74
 
6.2%
5 67
 
5.6%
C 60
 
5.0%
D 60
 
5.0%
F 60
 
5.0%
I 60
 
5.0%
9 13
 
1.1%
Other values (4) 37
 
3.1%

인허가일자
Real number (ℝ)

Distinct58
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20117721
Minimum19650409
Maximum20201106
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2024-04-16T20:09:04.559781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19650409
5-th percentile19889513
Q120111042
median20161221
Q320180623
95-th percentile20200531
Maximum20201106
Range550697
Interquartile range (IQR)69580.75

Descriptive statistics

Standard deviation120163.66
Coefficient of variation (CV)0.0059730256
Kurtosis8.1839513
Mean20117721
Median Absolute Deviation (MAD)29201
Skewness-2.8610201
Sum1.2070633 × 109
Variance1.4439306 × 1010
MonotonicityNot monotonic
2024-04-16T20:09:04.692252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19680325 2
 
3.3%
20180709 2
 
3.3%
20090716 1
 
1.7%
20161212 1
 
1.7%
20161230 1
 
1.7%
20170111 1
 
1.7%
20170202 1
 
1.7%
20170308 1
 
1.7%
20170605 1
 
1.7%
20191223 1
 
1.7%
Other values (48) 48
80.0%
ValueCountFrequency (%)
19650409 1
1.7%
19680325 2
3.3%
19900523 1
1.7%
19900602 1
1.7%
20030319 1
1.7%
20040510 1
1.7%
20060830 1
1.7%
20061219 1
1.7%
20070720 1
1.7%
20080813 1
1.7%
ValueCountFrequency (%)
20201106 1
1.7%
20201006 1
1.7%
20200603 1
1.7%
20200527 1
1.7%
20191223 1
1.7%
20191213 1
1.7%
20190621 1
1.7%
20190529 1
1.7%
20190315 1
1.7%
20181220 1
1.7%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

영업상태구분코드
Categorical

Distinct3
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
3
48 
1
10 
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 48
80.0%
1 10
 
16.7%
2 2
 
3.3%

Length

2024-04-16T20:09:04.812228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:09:04.900862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 48
80.0%
1 10
 
16.7%
2 2
 
3.3%

영업상태명
Categorical

Distinct3
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
폐업
48 
영업/정상
10 
휴업
 
2

Length

Max length5
Median length2
Mean length2.5
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 48
80.0%
영업/정상 10
 
16.7%
휴업 2
 
3.3%

Length

2024-04-16T20:09:05.004858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:09:05.092893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 48
80.0%
영업/정상 10
 
16.7%
휴업 2
 
3.3%

상세영업상태코드
Categorical

Distinct3
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
3
48 
13
10 
2
 
2

Length

Max length2
Median length1
Mean length1.1666667
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 48
80.0%
13 10
 
16.7%
2 2
 
3.3%

Length

2024-04-16T20:09:05.184898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:09:05.273015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 48
80.0%
13 10
 
16.7%
2 2
 
3.3%

상세영업상태명
Categorical

Distinct3
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
폐업
48 
영업중
10 
휴업
 
2

Length

Max length3
Median length2
Mean length2.1666667
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 48
80.0%
영업중 10
 
16.7%
휴업 2
 
3.3%

Length

2024-04-16T20:09:05.372508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:09:05.465287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 48
80.0%
영업중 10
 
16.7%
휴업 2
 
3.3%

폐업일자
Real number (ℝ)

MISSING 

Distinct44
Distinct (%)97.8%
Missing15
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean20158029
Minimum20050114
Maximum20201208
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2024-04-16T20:09:05.800094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20050114
5-th percentile20065001
Q120130901
median20170904
Q320181231
95-th percentile20200609
Maximum20201208
Range151094
Interquartile range (IQR)50330

Descriptive statistics

Standard deviation40456.507
Coefficient of variation (CV)0.0020069674
Kurtosis1.1452497
Mean20158029
Median Absolute Deviation (MAD)19906
Skewness-1.3653566
Sum9.0711131 × 108
Variance1.6367289 × 109
MonotonicityNot monotonic
2024-04-16T20:09:05.922820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
20190304 2
 
3.3%
20180827 1
 
1.7%
20090817 1
 
1.7%
20130707 1
 
1.7%
20170307 1
 
1.7%
20170131 1
 
1.7%
20170214 1
 
1.7%
20170305 1
 
1.7%
20170509 1
 
1.7%
20170904 1
 
1.7%
Other values (34) 34
56.7%
(Missing) 15
25.0%
ValueCountFrequency (%)
20050114 1
1.7%
20051130 1
1.7%
20061026 1
1.7%
20080903 1
1.7%
20090817 1
1.7%
20100901 1
1.7%
20130515 1
1.7%
20130531 1
1.7%
20130605 1
1.7%
20130611 1
1.7%
ValueCountFrequency (%)
20201208 1
1.7%
20201012 1
1.7%
20200729 1
1.7%
20200131 1
1.7%
20191005 1
1.7%
20190907 1
1.7%
20190826 1
1.7%
20190810 1
1.7%
20190701 1
1.7%
20190304 2
3.3%

휴업시작일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
58 
20200910
 
1
20210101
 
1

Length

Max length8
Median length4
Mean length4.1333333
Min length4

Unique

Unique2 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 58
96.7%
20200910 1
 
1.7%
20210101 1
 
1.7%

Length

2024-04-16T20:09:06.056490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:09:06.165118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 58
96.7%
20200910 1
 
1.7%
20210101 1
 
1.7%

휴업종료일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
58 
20201231
 
1
20210630
 
1

Length

Max length8
Median length4
Mean length4.1333333
Min length4

Unique

Unique2 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 58
96.7%
20201231 1
 
1.7%
20210630 1
 
1.7%

Length

2024-04-16T20:09:06.294798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:09:06.401709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 58
96.7%
20201231 1
 
1.7%
20210630 1
 
1.7%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

소재지전화
Text

MISSING 

Distinct22
Distinct (%)75.9%
Missing31
Missing (%)51.7%
Memory size612.0 B
2024-04-16T20:09:06.537844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length11.241379
Min length8

Characters and Unicode

Total characters326
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

Unique18 ?
Unique (%)62.1%

Sample

1st row051-246-2710
2nd row051-999-3000
3rd row051-900-6036
4th row051-999-3000
5th row051-405-8745
ValueCountFrequency (%)
070-4801-6034 5
17.2%
051-333-3238 2
 
6.9%
051-999-3000 2
 
6.9%
558-4196 2
 
6.9%
740-4050 1
 
3.4%
051-405-8745 1
 
3.4%
740-4040 1
 
3.4%
051-901-2624 1
 
3.4%
051-754-6988 1
 
3.4%
051-313-3277 1
 
3.4%
Other values (12) 12
41.4%
2024-04-16T20:09:06.821123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 63
19.3%
- 50
15.3%
1 37
11.3%
5 35
10.7%
4 33
10.1%
3 25
 
7.7%
8 19
 
5.8%
6 19
 
5.8%
7 16
 
4.9%
9 14
 
4.3%
Other values (2) 15
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 275
84.4%
Dash Punctuation 50
 
15.3%
Other Punctuation 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 63
22.9%
1 37
13.5%
5 35
12.7%
4 33
12.0%
3 25
 
9.1%
8 19
 
6.9%
6 19
 
6.9%
7 16
 
5.8%
9 14
 
5.1%
2 14
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 326
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 63
19.3%
- 50
15.3%
1 37
11.3%
5 35
10.7%
4 33
10.1%
3 25
 
7.7%
8 19
 
5.8%
6 19
 
5.8%
7 16
 
4.9%
9 14
 
4.3%
Other values (2) 15
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 326
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 63
19.3%
- 50
15.3%
1 37
11.3%
5 35
10.7%
4 33
10.1%
3 25
 
7.7%
8 19
 
5.8%
6 19
 
5.8%
7 16
 
4.9%
9 14
 
4.3%
Other values (2) 15
 
4.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)84.6%
Missing34
Missing (%)56.7%
Infinite0
Infinite (%)0.0%
Mean611941.35
Minimum600045
Maximum619953
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2024-04-16T20:09:06.937160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600045
5-th percentile601236
Q1607832
median613314.5
Q3614865.75
95-th percentile619910.25
Maximum619953
Range19908
Interquartile range (IQR)7033.75

Descriptive statistics

Standard deviation5507.9136
Coefficient of variation (CV)0.0090007214
Kurtosis-0.079955726
Mean611941.35
Median Absolute Deviation (MAD)4009.5
Skewness-0.58737882
Sum15910475
Variance30337112
MonotonicityNot monotonic
2024-04-16T20:09:07.052044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
607832 3
 
5.0%
614871 2
 
3.3%
613828 2
 
3.3%
604806 1
 
1.7%
619902 1
 
1.7%
619953 1
 
1.7%
619913 1
 
1.7%
613805 1
 
1.7%
618240 1
 
1.7%
612020 1
 
1.7%
Other values (12) 12
 
20.0%
(Missing) 34
56.7%
ValueCountFrequency (%)
600045 1
 
1.7%
600046 1
 
1.7%
604806 1
 
1.7%
606080 1
 
1.7%
607060 1
 
1.7%
607832 3
5.0%
608804 1
 
1.7%
612020 1
 
1.7%
612704 1
 
1.7%
612820 1
 
1.7%
ValueCountFrequency (%)
619953 1
1.7%
619913 1
1.7%
619902 1
1.7%
618240 1
1.7%
616823 1
1.7%
614871 2
3.3%
614850 1
1.7%
614845 1
1.7%
614041 1
1.7%
613828 2
3.3%

소재지전체주소
Text

Distinct44
Distinct (%)73.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
2024-04-16T20:09:07.293679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length33
Mean length25.316667
Min length13

Characters and Unicode

Total characters1519
Distinct characters112
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

Unique35 ?
Unique (%)58.3%

Sample

1st row부산광역시 중구 남포동6가 91
2nd row부산광역시 중구 남포동5가 12-1번지 외 1필지 대영시네마 지하1층
3rd row부산광역시 중구 남포동6가 91번지 2층
4th row부산광역시 중구 남포동6가 91번지 1층
5th row부산광역시 중구 남포동6가 91
ValueCountFrequency (%)
부산광역시 60
20.9%
해운대구 26
 
9.1%
우동 25
 
8.7%
1413-4번지 16
 
5.6%
벡스코제2전시장 14
 
4.9%
부산진구 5
 
1.7%
중구 5
 
1.7%
동래구 4
 
1.4%
온천동 4
 
1.4%
기장군 4
 
1.4%
Other values (95) 124
43.2%
2024-04-16T20:09:07.675200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
227
 
14.9%
1 82
 
5.4%
시 75
 
4.9%
부 69
 
4.5%
산 67
 
4.4%
동 64
 
4.2%
광 63
 
4.1%
역 60
 
3.9%
구 57
 
3.8%
4 51
 
3.4%
Other values (102) 704
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 944
62.1%
Decimal Number 277
 
18.2%
Space Separator 227
 
14.9%
Dash Punctuation 39
 
2.6%
Uppercase Letter 16
 
1.1%
Math Symbol 7
 
0.5%
Open Punctuation 3
 
0.2%
Close Punctuation 3
 
0.2%
Other Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 75
 
7.9%
부 69
 
7.3%
산 67
 
7.1%
동 64
 
6.8%
광 63
 
6.7%
역 60
 
6.4%
구 57
 
6.0%
지 49
 
5.2%
번 46
 
4.9%
대 31
 
3.3%
Other values (77) 363
38.5%
Decimal Number
ValueCountFrequency (%)
1 82
29.6%
4 51
18.4%
3 31
 
11.2%
2 30
 
10.8%
5 22
 
7.9%
8 14
 
5.1%
6 14
 
5.1%
7 12
 
4.3%
9 11
 
4.0%
0 10
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
B 4
25.0%
E 4
25.0%
F 2
12.5%
C 2
12.5%
O 1
 
6.2%
T 1
 
6.2%
D 1
 
6.2%
A 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 2
66.7%
/ 1
33.3%
Space Separator
ValueCountFrequency (%)
227
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 944
62.1%
Common 559
36.8%
Latin 16
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 75
 
7.9%
부 69
 
7.3%
산 67
 
7.1%
동 64
 
6.8%
광 63
 
6.7%
역 60
 
6.4%
구 57
 
6.0%
지 49
 
5.2%
번 46
 
4.9%
대 31
 
3.3%
Other values (77) 363
38.5%
Common
ValueCountFrequency (%)
227
40.6%
1 82
 
14.7%
4 51
 
9.1%
- 39
 
7.0%
3 31
 
5.5%
2 30
 
5.4%
5 22
 
3.9%
8 14
 
2.5%
6 14
 
2.5%
7 12
 
2.1%
Other values (7) 37
 
6.6%
Latin
ValueCountFrequency (%)
B 4
25.0%
E 4
25.0%
F 2
12.5%
C 2
12.5%
O 1
 
6.2%
T 1
 
6.2%
D 1
 
6.2%
A 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 944
62.1%
ASCII 575
37.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
227
39.5%
1 82
 
14.3%
4 51
 
8.9%
- 39
 
6.8%
3 31
 
5.4%
2 30
 
5.2%
5 22
 
3.8%
8 14
 
2.4%
6 14
 
2.4%
7 12
 
2.1%
Other values (15) 53
 
9.2%
Hangul
ValueCountFrequency (%)
시 75
 
7.9%
부 69
 
7.3%
산 67
 
7.1%
동 64
 
6.8%
광 63
 
6.7%
역 60
 
6.4%
구 57
 
6.0%
지 49
 
5.2%
번 46
 
4.9%
대 31
 
3.3%
Other values (77) 363
38.5%

도로명전체주소
Text

MISSING 

Distinct40
Distinct (%)76.9%
Missing8
Missing (%)13.3%
Memory size612.0 B
2024-04-16T20:09:07.926981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length38
Mean length33.711538
Min length22

Characters and Unicode

Total characters1753
Distinct characters127
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 (%)63.5%

Sample

1st row부산광역시 중구 비프광장로 18 (남포동6가)
2nd row부산광역시 중구 비프광장로 37 (남포동5가,외 1필지 대영시네마 지하1층)
3rd row부산광역시 중구 비프광장로 18 (남포동6가,2층)
4th row부산광역시 중구 비프광장로 18, 1층 (남포동6가)
5th row부산광역시 중구 비프광장로 18, 지하1층 (남포동6가)
ValueCountFrequency (%)
부산광역시 52
 
16.0%
해운대구 26
 
8.0%
우동 24
 
7.4%
apec로 23
 
7.1%
30 21
 
6.4%
벡스코제2전시장 20
 
6.1%
1층 8
 
2.5%
3층 7
 
2.1%
5b~e호 7
 
2.1%
비프광장로 5
 
1.5%
Other values (99) 133
40.8%
2024-04-16T20:09:08.285873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
282
 
16.1%
시 73
 
4.2%
부 61
 
3.5%
광 60
 
3.4%
산 58
 
3.3%
동 55
 
3.1%
역 52
 
3.0%
로 52
 
3.0%
) 51
 
2.9%
( 51
 
2.9%
Other values (117) 958
54.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 965
55.0%
Space Separator 282
 
16.1%
Decimal Number 214
 
12.2%
Uppercase Letter 126
 
7.2%
Close Punctuation 51
 
2.9%
Open Punctuation 51
 
2.9%
Other Punctuation 50
 
2.9%
Math Symbol 12
 
0.7%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 73
 
7.6%
부 61
 
6.3%
광 60
 
6.2%
산 58
 
6.0%
동 55
 
5.7%
역 52
 
5.4%
로 52
 
5.4%
구 50
 
5.2%
장 38
 
3.9%
대 36
 
3.7%
Other values (91) 430
44.6%
Decimal Number
ValueCountFrequency (%)
1 42
19.6%
3 37
17.3%
2 33
15.4%
0 28
13.1%
5 26
12.1%
6 13
 
6.1%
4 12
 
5.6%
8 9
 
4.2%
9 8
 
3.7%
7 6
 
2.8%
Uppercase Letter
ValueCountFrequency (%)
E 32
25.4%
C 28
22.2%
A 25
19.8%
P 23
18.3%
B 8
 
6.3%
F 4
 
3.2%
D 4
 
3.2%
O 1
 
0.8%
T 1
 
0.8%
Other Punctuation
ValueCountFrequency (%)
, 49
98.0%
/ 1
 
2.0%
Space Separator
ValueCountFrequency (%)
282
100.0%
Close Punctuation
ValueCountFrequency (%)
) 51
100.0%
Open Punctuation
ValueCountFrequency (%)
( 51
100.0%
Math Symbol
ValueCountFrequency (%)
~ 12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 965
55.0%
Common 662
37.8%
Latin 126
 
7.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 73
 
7.6%
부 61
 
6.3%
광 60
 
6.2%
산 58
 
6.0%
동 55
 
5.7%
역 52
 
5.4%
로 52
 
5.4%
구 50
 
5.2%
장 38
 
3.9%
대 36
 
3.7%
Other values (91) 430
44.6%
Common
ValueCountFrequency (%)
282
42.6%
) 51
 
7.7%
( 51
 
7.7%
, 49
 
7.4%
1 42
 
6.3%
3 37
 
5.6%
2 33
 
5.0%
0 28
 
4.2%
5 26
 
3.9%
6 13
 
2.0%
Other values (7) 50
 
7.6%
Latin
ValueCountFrequency (%)
E 32
25.4%
C 28
22.2%
A 25
19.8%
P 23
18.3%
B 8
 
6.3%
F 4
 
3.2%
D 4
 
3.2%
O 1
 
0.8%
T 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 965
55.0%
ASCII 788
45.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
282
35.8%
) 51
 
6.5%
( 51
 
6.5%
, 49
 
6.2%
1 42
 
5.3%
3 37
 
4.7%
2 33
 
4.2%
E 32
 
4.1%
0 28
 
3.6%
C 28
 
3.6%
Other values (16) 155
19.7%
Hangul
ValueCountFrequency (%)
시 73
 
7.6%
부 61
 
6.3%
광 60
 
6.2%
산 58
 
6.0%
동 55
 
5.7%
역 52
 
5.4%
로 52
 
5.4%
구 50
 
5.2%
장 38
 
3.9%
대 36
 
3.7%
Other values (91) 430
44.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)46.3%
Missing19
Missing (%)31.7%
Infinite0
Infinite (%)0.0%
Mean89410.634
Minimum46029
Maximum618240
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2024-04-16T20:09:08.391345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46029
5-th percentile46084
Q148060
median48060
Q348116
95-th percentile612704
Maximum618240
Range572211
Interquartile range (IQR)56

Descriptive statistics

Standard deviation149591.06
Coefficient of variation (CV)1.6730791
Kurtosis10.076329
Mean89410.634
Median Absolute Deviation (MAD)0
Skewness3.4038114
Sum3665836
Variance2.2377486 × 1010
MonotonicityNot monotonic
2024-04-16T20:09:08.485828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
48060 21
35.0%
48981 3
 
5.0%
47294 1
 
1.7%
49527 1
 
1.7%
46084 1
 
1.7%
46083 1
 
1.7%
46029 1
 
1.7%
48283 1
 
1.7%
618240 1
 
1.7%
46207 1
 
1.7%
Other values (9) 9
15.0%
(Missing) 19
31.7%
ValueCountFrequency (%)
46029 1
 
1.7%
46083 1
 
1.7%
46084 1
 
1.7%
46207 1
 
1.7%
46500 1
 
1.7%
47100 1
 
1.7%
47294 1
 
1.7%
47295 1
 
1.7%
48058 1
 
1.7%
48060 21
35.0%
ValueCountFrequency (%)
618240 1
 
1.7%
614850 1
 
1.7%
612704 1
 
1.7%
49527 1
 
1.7%
48981 3
 
5.0%
48751 1
 
1.7%
48512 1
 
1.7%
48283 1
 
1.7%
48116 1
 
1.7%
48060 21
35.0%

사업장명
Text

Distinct58
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
2024-04-16T20:09:08.654776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length17.5
Mean length10.766667
Min length3

Characters and Unicode

Total characters646
Distinct characters169
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

Unique56 ?
Unique (%)93.3%

Sample

1st row남포헐리우드 디스코팡팡
2nd row노리존
3rd row헐리우드놀이랜드
4th row남포디스코팡팡
5th row디 월드
ValueCountFrequency (%)
키즈월드 17
 
13.5%
레이싱 7
 
5.6%
실내썰매 5
 
4.0%
룰루랄라 4
 
3.2%
상상체험 4
 
3.2%
시즌2 3
 
2.4%
상상체험+레이싱 3
 
2.4%
팡팡 2
 
1.6%
시즌4 2
 
1.6%
키즈파크 2
 
1.6%
Other values (70) 77
61.1%
2024-04-16T20:09:08.964450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
66
 
10.2%
드 33
 
5.1%
키 21
 
3.3%
즈 20
 
3.1%
월 20
 
3.1%
이 18
 
2.8%
상 18
 
2.8%
시 17
 
2.6%
스 14
 
2.2%
레 13
 
2.0%
Other values (159) 406
62.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 527
81.6%
Space Separator 66
 
10.2%
Decimal Number 25
 
3.9%
Close Punctuation 8
 
1.2%
Open Punctuation 8
 
1.2%
Math Symbol 6
 
0.9%
Uppercase Letter 4
 
0.6%
Other Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
드 33
 
6.3%
키 21
 
4.0%
즈 20
 
3.8%
월 20
 
3.8%
이 18
 
3.4%
상 18
 
3.4%
시 17
 
3.2%
스 14
 
2.7%
레 13
 
2.5%
싱 12
 
2.3%
Other values (142) 341
64.7%
Decimal Number
ValueCountFrequency (%)
2 6
24.0%
4 4
16.0%
5 4
16.0%
8 3
12.0%
0 3
12.0%
3 2
 
8.0%
1 2
 
8.0%
6 1
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
L 1
25.0%
S 1
25.0%
X 1
25.0%
D 1
25.0%
Space Separator
ValueCountFrequency (%)
66
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Math Symbol
ValueCountFrequency (%)
+ 6
100.0%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 527
81.6%
Common 115
 
17.8%
Latin 4
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
드 33
 
6.3%
키 21
 
4.0%
즈 20
 
3.8%
월 20
 
3.8%
이 18
 
3.4%
상 18
 
3.4%
시 17
 
3.2%
스 14
 
2.7%
레 13
 
2.5%
싱 12
 
2.3%
Other values (142) 341
64.7%
Common
ValueCountFrequency (%)
66
57.4%
) 8
 
7.0%
( 8
 
7.0%
+ 6
 
5.2%
2 6
 
5.2%
4 4
 
3.5%
5 4
 
3.5%
8 3
 
2.6%
0 3
 
2.6%
3 2
 
1.7%
Other values (3) 5
 
4.3%
Latin
ValueCountFrequency (%)
L 1
25.0%
S 1
25.0%
X 1
25.0%
D 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 527
81.6%
ASCII 119
 
18.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
66
55.5%
) 8
 
6.7%
( 8
 
6.7%
+ 6
 
5.0%
2 6
 
5.0%
4 4
 
3.4%
5 4
 
3.4%
8 3
 
2.5%
0 3
 
2.5%
3 2
 
1.7%
Other values (7) 9
 
7.6%
Hangul
ValueCountFrequency (%)
드 33
 
6.3%
키 21
 
4.0%
즈 20
 
3.8%
월 20
 
3.8%
이 18
 
3.4%
상 18
 
3.4%
시 17
 
3.2%
스 14
 
2.7%
레 13
 
2.5%
싱 12
 
2.3%
Other values (142) 341
64.7%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0167915 × 1013
Minimum2.005012 × 1013
Maximum2.0210208 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2024-04-16T20:09:09.104022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.005012 × 1013
5-th percentile2.0080875 × 1013
Q12.0165242 × 1013
median2.018063 × 1013
Q32.0191014 × 1013
95-th percentile2.0201111 × 1013
Maximum2.0210208 × 1013
Range1.6008796 × 1011
Interquartile range (IQR)2.5771252 × 1010

Descriptive statistics

Standard deviation3.7600839 × 1010
Coefficient of variation (CV)0.001864389
Kurtosis1.8041072
Mean2.0167915 × 1013
Median Absolute Deviation (MAD)1.0404991 × 1010
Skewness-1.527555
Sum1.2100749 × 1015
Variance1.4138231 × 1021
MonotonicityNot monotonic
2024-04-16T20:09:09.240853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200730144344 1
 
1.7%
20090826160350 1
 
1.7%
20170517091021 1
 
1.7%
20170517091323 1
 
1.7%
20170517091115 1
 
1.7%
20170517091250 1
 
1.7%
20170517091613 1
 
1.7%
20171011115450 1
 
1.7%
20181231152951 1
 
1.7%
20181130180927 1
 
1.7%
Other values (50) 50
83.3%
ValueCountFrequency (%)
20050120145624 1
1.7%
20061026095051 1
1.7%
20080312122022 1
1.7%
20080904113130 1
1.7%
20090826160350 1
1.7%
20100913160131 1
1.7%
20130503110322 1
1.7%
20130603180806 1
1.7%
20130611114747 1
1.7%
20130613144954 1
1.7%
ValueCountFrequency (%)
20210208102601 1
1.7%
20201230113523 1
1.7%
20201208181143 1
1.7%
20201106212003 1
1.7%
20201014142839 1
1.7%
20201013140006 1
1.7%
20201012205810 1
1.7%
20200925131011 1
1.7%
20200910190707 1
1.7%
20200730144344 1
1.7%

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
I
34 
U
26 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 34
56.7%
U 26
43.3%

Length

2024-04-16T20:09:09.361345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:09:09.445033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 34
56.7%
u 26
43.3%

데이터갱신일자
Date

Distinct27
Distinct (%)45.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
Minimum2018-08-31 23:59:59
Maximum2021-02-10 02:40:00
2024-04-16T20:09:09.531680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T20:09:09.640527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct32
Distinct (%)54.2%
Missing1
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean390981.04
Minimum371094.29
Maximum404680.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2024-04-16T20:09:09.754665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum371094.29
5-th percentile379469.71
Q1386466.09
median393952.26
Q3394457.41
95-th percentile401493.44
Maximum404680.59
Range33586.304
Interquartile range (IQR)7991.3154

Descriptive statistics

Standard deviation6403.6918
Coefficient of variation (CV)0.016378523
Kurtosis0.68473307
Mean390981.04
Median Absolute Deviation (MAD)2895.8979
Skewness-0.50881795
Sum23067882
Variance41007269
MonotonicityNot monotonic
2024-04-16T20:09:09.863631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
394457.407487917 21
35.0%
384786.897439657 4
 
6.7%
386466.092076382 2
 
3.3%
385929.647757531 2
 
3.3%
381886.710034792 2
 
3.3%
388835.288484514 2
 
3.3%
393339.479016586 1
 
1.7%
379470.61179149 1
 
1.7%
391435.914412022 1
 
1.7%
371094.285732956 1
 
1.7%
Other values (22) 22
36.7%
ValueCountFrequency (%)
371094.285732956 1
 
1.7%
379368.619950617 1
 
1.7%
379461.562843903 1
 
1.7%
379470.61179149 1
 
1.7%
381886.710034792 2
3.3%
382208.240068481 1
 
1.7%
384786.897439657 4
6.7%
384985.448097939 1
 
1.7%
385929.647757531 2
3.3%
386466.092076382 2
3.3%
ValueCountFrequency (%)
404680.58998287 1
 
1.7%
403946.127150128 1
 
1.7%
401669.0 1
 
1.7%
401473.933606044 1
 
1.7%
399573.805687674 1
 
1.7%
396848.162435114 1
 
1.7%
394621.92798588 1
 
1.7%
394482.139208377 1
 
1.7%
394457.407487917 21
35.0%
393952.264486105 1
 
1.7%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct32
Distinct (%)54.2%
Missing1
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean186711.7
Minimum173666.22
Maximum203755.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2024-04-16T20:09:09.970640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum173666.22
5-th percentile178223.48
Q1185792.09
median187231.53
Q3187265.41
95-th percentile194043.89
Maximum203755.1
Range30088.887
Interquartile range (IQR)1473.3244

Descriptive statistics

Standard deviation5709.5478
Coefficient of variation (CV)0.030579485
Kurtosis2.2164443
Mean186711.7
Median Absolute Deviation (MAD)1276.6592
Skewness0.47993097
Sum11015991
Variance32598936
MonotonicityNot monotonic
2024-04-16T20:09:10.076964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
187231.530457387 21
35.0%
179575.94945685 4
 
6.7%
181381.122678011 2
 
3.3%
189316.797075352 2
 
3.3%
192791.688242788 2
 
3.3%
193206.56218351 2
 
3.3%
186122.144380181 1
 
1.7%
173765.464798248 1
 
1.7%
201165.165866207 1
 
1.7%
185672.987884383 1
 
1.7%
Other values (22) 22
36.7%
ValueCountFrequency (%)
173666.217193686 1
 
1.7%
173765.464798248 1
 
1.7%
175382.507825841 1
 
1.7%
178539.144834593 1
 
1.7%
179575.94945685 4
6.7%
179597.592953541 1
 
1.7%
181381.122678011 2
3.3%
181913.054093558 1
 
1.7%
183966.539524643 1
 
1.7%
185672.987884383 1
 
1.7%
ValueCountFrequency (%)
203755.104482253 1
1.7%
202930.766074514 1
1.7%
201165.165866207 1
1.7%
193252.637079482 1
1.7%
193206.56218351 2
3.3%
192791.688242788 2
3.3%
190354.279831841 1
1.7%
190270.0 1
1.7%
189316.797075352 2
3.3%
187606.035424193 1
1.7%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
허가유원시설업
60 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
허가유원시설업 60
100.0%

Length

2024-04-16T20:09:10.213722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:09:10.298858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
허가유원시설업 60
100.0%

문화사업자구분명
Categorical

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
49 
유원시설업
11 

Length

Max length5
Median length4
Mean length4.1833333
Min length4

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> 49
81.7%
유원시설업 11
 
18.3%

Length

2024-04-16T20:09:10.394831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:09:10.477973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
81.7%
유원시설업 11
 
18.3%

지역구분명
Categorical

Distinct6
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
38 
일반상업지역
14 
자연녹지지역
4 
상업지역
 
2
녹지지역
 
1

Length

Max length6
Median length4
Mean length4.6166667
Min length4

Unique

Unique2 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 38
63.3%
일반상업지역 14
 
23.3%
자연녹지지역 4
 
6.7%
상업지역 2
 
3.3%
녹지지역 1
 
1.7%
준주거지역 1
 
1.7%

Length

2024-04-16T20:09:10.573202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:09:10.677411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 38
63.3%
일반상업지역 14
 
23.3%
자연녹지지역 4
 
6.7%
상업지역 2
 
3.3%
녹지지역 1
 
1.7%
준주거지역 1
 
1.7%

총층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
51 
1
 
3
6
 
2
7
 
2
2
 
1

Length

Max length4
Median length4
Mean length3.5666667
Min length1

Unique

Unique2 ?
Unique (%)3.3%

Sample

1st row<NA>
2nd row6
3rd row7
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 51
85.0%
1 3
 
5.0%
6 2
 
3.3%
7 2
 
3.3%
2 1
 
1.7%
22 1
 
1.7%

Length

2024-04-16T20:09:10.781480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:09:10.877587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
85.0%
1 3
 
5.0%
6 2
 
3.3%
7 2
 
3.3%
2 1
 
1.7%
22 1
 
1.7%

주변환경명
Categorical

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
44 
기타
16 

Length

Max length4
Median length4
Mean length3.4666667
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 44
73.3%
기타 16
 
26.7%

Length

2024-04-16T20:09:10.994734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:09:11.113129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
73.3%
기타 16
 
26.7%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

건물용도명
Text

MISSING 

Distinct7
Distinct (%)63.6%
Missing49
Missing (%)81.7%
Memory size612.0 B
2024-04-16T20:09:11.233093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length3.5454545
Min length2

Characters and Unicode

Total characters39
Distinct characters20
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)45.5%

Sample

1st row문화시설
2nd row사무실
3rd row기타
4th row환경위생시설
5th row기타
ValueCountFrequency (%)
기타 4
36.4%
문화시설 2
18.2%
사무실 1
 
9.1%
환경위생시설 1
 
9.1%
근린생활시설 1
 
9.1%
유통시설 1
 
9.1%
숙박시설 1
 
9.1%
2024-04-16T20:09:11.494553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 6
15.4%
설 6
15.4%
기 4
 
10.3%
타 4
 
10.3%
문 2
 
5.1%
화 2
 
5.1%
생 2
 
5.1%
근 1
 
2.6%
숙 1
 
2.6%
통 1
 
2.6%
Other values (10) 10
25.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 39
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 6
15.4%
설 6
15.4%
기 4
 
10.3%
타 4
 
10.3%
문 2
 
5.1%
화 2
 
5.1%
생 2
 
5.1%
근 1
 
2.6%
숙 1
 
2.6%
통 1
 
2.6%
Other values (10) 10
25.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 39
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 6
15.4%
설 6
15.4%
기 4
 
10.3%
타 4
 
10.3%
문 2
 
5.1%
화 2
 
5.1%
생 2
 
5.1%
근 1
 
2.6%
숙 1
 
2.6%
통 1
 
2.6%
Other values (10) 10
25.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 39
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 6
15.4%
설 6
15.4%
기 4
 
10.3%
타 4
 
10.3%
문 2
 
5.1%
화 2
 
5.1%
생 2
 
5.1%
근 1
 
2.6%
숙 1
 
2.6%
통 1
 
2.6%
Other values (10) 10
25.6%

지상층수
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)75.0%
Missing52
Missing (%)86.7%
Infinite0
Infinite (%)0.0%
Mean5
Minimum1
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2024-04-16T20:09:11.593067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.75
median3
Q35.25
95-th percentile14.45
Maximum19
Range18
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation5.9521905
Coefficient of variation (CV)1.1904381
Kurtosis5.7780957
Mean5
Median Absolute Deviation (MAD)2
Skewness2.3141386
Sum40
Variance35.428571
MonotonicityNot monotonic
2024-04-16T20:09:11.680409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 2
 
3.3%
1 2
 
3.3%
6 1
 
1.7%
5 1
 
1.7%
19 1
 
1.7%
4 1
 
1.7%
(Missing) 52
86.7%
ValueCountFrequency (%)
1 2
3.3%
2 2
3.3%
4 1
1.7%
5 1
1.7%
6 1
1.7%
19 1
1.7%
ValueCountFrequency (%)
19 1
1.7%
6 1
1.7%
5 1
1.7%
4 1
1.7%
2 2
3.3%
1 2
3.3%

지하층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
54 
2
 
2
4
 
1
1
 
1
0
 
1

Length

Max length4
Median length4
Mean length3.7
Min length1

Unique

Unique4 ?
Unique (%)6.7%

Sample

1st row<NA>
2nd row4
3rd row<NA>
4th row<NA>
5th row1

Common Values

ValueCountFrequency (%)
<NA> 54
90.0%
2 2
 
3.3%
4 1
 
1.7%
1 1
 
1.7%
0 1
 
1.7%
3 1
 
1.7%

Length

2024-04-16T20:09:11.792158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:09:11.885973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 54
90.0%
2 2
 
3.3%
4 1
 
1.7%
1 1
 
1.7%
0 1
 
1.7%
3 1
 
1.7%

객실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

건축연면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

영문상호명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

영문상호주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

선박총톤수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

선박척수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

무대면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

좌석수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

회의실별동시수용인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

시설면적
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)100.0%
Missing45
Missing (%)75.0%
Infinite0
Infinite (%)0.0%
Mean2401.718
Minimum93.29
Maximum9966
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2024-04-16T20:09:11.978029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum93.29
5-th percentile134.072
Q1215.01
median753.6
Q33319.4
95-th percentile9114.8
Maximum9966
Range9872.71
Interquartile range (IQR)3104.39

Descriptive statistics

Standard deviation3171.916
Coefficient of variation (CV)1.3206863
Kurtosis1.7458559
Mean2401.718
Median Absolute Deviation (MAD)602.05
Skewness1.6053505
Sum36025.77
Variance10061051
MonotonicityNot monotonic
2024-04-16T20:09:12.075956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
558.0 1
 
1.7%
423.41 1
 
1.7%
93.29 1
 
1.7%
228.0 1
 
1.7%
753.6 1
 
1.7%
198.1 1
 
1.7%
202.02 1
 
1.7%
2800.0 1
 
1.7%
9966.0 1
 
1.7%
3700.8 1
 
1.7%
Other values (5) 5
 
8.3%
(Missing) 45
75.0%
ValueCountFrequency (%)
93.29 1
1.7%
151.55 1
1.7%
198.1 1
1.7%
202.02 1
1.7%
228.0 1
1.7%
423.41 1
1.7%
558.0 1
1.7%
753.6 1
1.7%
863.0 1
1.7%
2800.0 1
1.7%
ValueCountFrequency (%)
9966.0 1
1.7%
8750.0 1
1.7%
4400.0 1
1.7%
3700.8 1
1.7%
2938.0 1
1.7%
2800.0 1
1.7%
863.0 1
1.7%
753.6 1
1.7%
558.0 1
1.7%
423.41 1
1.7%

놀이기구수내역
Text

MISSING 

Distinct43
Distinct (%)95.6%
Missing15
Missing (%)25.0%
Memory size612.0 B
2024-04-16T20:09:12.244274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length32
Mean length23.6
Min length1

Characters and Unicode

Total characters1062
Distinct characters111
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

Unique41 ?
Unique (%)91.1%

Sample

1st row디스코팡팡 1대
2nd row디스코팡팡 1종
3rd row디스코팡팡1대
4th row타가다디스코1종
5th row디스코팡팡1대
ValueCountFrequency (%)
21
 
10.4%
안전성검사 9
 
4.5%
안전성검사대상 7
 
3.5%
대상 6
 
3.0%
3종 5
 
2.5%
4종 5
 
2.5%
비대상 5
 
2.5%
1종 5
 
2.5%
안전성 5
 
2.5%
5종 4
 
2.0%
Other values (95) 130
64.4%
2024-04-16T20:09:12.556139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
158
 
14.9%
대 87
 
8.2%
종 59
 
5.6%
1 49
 
4.6%
사 40
 
3.8%
검 40
 
3.8%
전 39
 
3.7%
상 37
 
3.5%
안 37
 
3.5%
, 37
 
3.5%
Other values (101) 479
45.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 624
58.8%
Decimal Number 164
 
15.4%
Space Separator 158
 
14.9%
Other Punctuation 66
 
6.2%
Lowercase Letter 17
 
1.6%
Close Punctuation 14
 
1.3%
Open Punctuation 14
 
1.3%
Uppercase Letter 3
 
0.3%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 87
 
13.9%
종 59
 
9.5%
사 40
 
6.4%
검 40
 
6.4%
전 39
 
6.2%
상 37
 
5.9%
안 37
 
5.9%
성 29
 
4.6%
비 18
 
2.9%
이 17
 
2.7%
Other values (69) 221
35.4%
Decimal Number
ValueCountFrequency (%)
1 49
29.9%
2 28
17.1%
3 19
 
11.6%
4 18
 
11.0%
6 10
 
6.1%
5 10
 
6.1%
8 9
 
5.5%
7 9
 
5.5%
9 7
 
4.3%
0 5
 
3.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
17.6%
n 2
11.8%
i 2
11.8%
h 2
11.8%
a 2
11.8%
l 2
11.8%
m 1
 
5.9%
t 1
 
5.9%
c 1
 
5.9%
f 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 37
56.1%
: 22
33.3%
/ 5
 
7.6%
. 1
 
1.5%
@ 1
 
1.5%
Uppercase Letter
ValueCountFrequency (%)
U 1
33.3%
F 1
33.3%
O 1
33.3%
Space Separator
ValueCountFrequency (%)
158
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 624
58.8%
Common 418
39.4%
Latin 20
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 87
 
13.9%
종 59
 
9.5%
사 40
 
6.4%
검 40
 
6.4%
전 39
 
6.2%
상 37
 
5.9%
안 37
 
5.9%
성 29
 
4.6%
비 18
 
2.9%
이 17
 
2.7%
Other values (69) 221
35.4%
Common
ValueCountFrequency (%)
158
37.8%
1 49
 
11.7%
, 37
 
8.9%
2 28
 
6.7%
: 22
 
5.3%
3 19
 
4.5%
4 18
 
4.3%
) 14
 
3.3%
( 14
 
3.3%
6 10
 
2.4%
Other values (9) 49
 
11.7%
Latin
ValueCountFrequency (%)
e 3
15.0%
n 2
10.0%
i 2
10.0%
h 2
10.0%
a 2
10.0%
l 2
10.0%
U 1
 
5.0%
F 1
 
5.0%
O 1
 
5.0%
m 1
 
5.0%
Other values (3) 3
15.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 624
58.8%
ASCII 438
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
158
36.1%
1 49
 
11.2%
, 37
 
8.4%
2 28
 
6.4%
: 22
 
5.0%
3 19
 
4.3%
4 18
 
4.1%
) 14
 
3.2%
( 14
 
3.2%
6 10
 
2.3%
Other values (22) 69
15.8%
Hangul
ValueCountFrequency (%)
대 87
 
13.9%
종 59
 
9.5%
사 40
 
6.4%
검 40
 
6.4%
전 39
 
6.2%
상 37
 
5.9%
안 37
 
5.9%
성 29
 
4.6%
비 18
 
2.9%
이 17
 
2.7%
Other values (69) 221
35.4%

놀이시설수
Categorical

IMBALANCE 

Distinct6
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
52 
1
 
3
8
 
2
2
 
1
37
 
1

Length

Max length4
Median length4
Mean length3.6333333
Min length1

Unique

Unique3 ?
Unique (%)5.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 52
86.7%
1 3
 
5.0%
8 2
 
3.3%
2 1
 
1.7%
37 1
 
1.7%
26 1
 
1.7%

Length

2024-04-16T20:09:12.681307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:09:12.786064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 52
86.7%
1 3
 
5.0%
8 2
 
3.3%
2 1
 
1.7%
37 1
 
1.7%
26 1
 
1.7%

방송시설유무
Boolean

MISSING 

Distinct2
Distinct (%)5.3%
Missing22
Missing (%)36.7%
Memory size252.0 B
True
33 
False
5 
(Missing)
22 
ValueCountFrequency (%)
True 33
55.0%
False 5
 
8.3%
(Missing) 22
36.7%
2024-04-16T20:09:12.877075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

발전시설유무
Boolean

MISSING 

Distinct2
Distinct (%)6.5%
Missing29
Missing (%)48.3%
Memory size252.0 B
True
25 
False
6 
(Missing)
29 
ValueCountFrequency (%)
True 25
41.7%
False 6
 
10.0%
(Missing) 29
48.3%
2024-04-16T20:09:12.957365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

의무실유무
Boolean

MISSING 

Distinct2
Distinct (%)6.1%
Missing27
Missing (%)45.0%
Memory size252.0 B
True
27 
False
6 
(Missing)
27 
ValueCountFrequency (%)
True 27
45.0%
False 6
 
10.0%
(Missing) 27
45.0%
2024-04-16T20:09:13.040776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

안내소유무
Boolean

MISSING 

Distinct2
Distinct (%)5.3%
Missing22
Missing (%)36.7%
Memory size252.0 B
True
32 
False
6 
(Missing)
22 
ValueCountFrequency (%)
True 32
53.3%
False 6
 
10.0%
(Missing) 22
36.7%
2024-04-16T20:09:13.445363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

자본금
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

시설규모
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)100.0%
Missing45
Missing (%)75.0%
Infinite0
Infinite (%)0.0%
Mean2401.7333
Minimum93
Maximum9966
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2024-04-16T20:09:13.544920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum93
5-th percentile134.3
Q1215
median754
Q33319.5
95-th percentile9114.8
Maximum9966
Range9873
Interquartile range (IQR)3104.5

Descriptive statistics

Standard deviation3171.9235
Coefficient of variation (CV)1.320681
Kurtosis1.745769
Mean2401.7333
Median Absolute Deviation (MAD)602
Skewness1.6053221
Sum36026
Variance10061098
MonotonicityNot monotonic
2024-04-16T20:09:13.692166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
558 1
 
1.7%
423 1
 
1.7%
93 1
 
1.7%
228 1
 
1.7%
754 1
 
1.7%
198 1
 
1.7%
202 1
 
1.7%
2800 1
 
1.7%
9966 1
 
1.7%
3701 1
 
1.7%
Other values (5) 5
 
8.3%
(Missing) 45
75.0%
ValueCountFrequency (%)
93 1
1.7%
152 1
1.7%
198 1
1.7%
202 1
1.7%
228 1
1.7%
423 1
1.7%
558 1
1.7%
754 1
1.7%
863 1
1.7%
2800 1
1.7%
ValueCountFrequency (%)
9966 1
1.7%
8750 1
1.7%
4400 1
1.7%
3701 1
1.7%
2938 1
1.7%
2800 1
1.7%
863 1
1.7%
754 1
1.7%
558 1
1.7%
423 1
1.7%

Unnamed: 63
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모Unnamed: 63
01일반유원시설업03_07_09_P3250000CDFI527100201900000120190529<NA>3폐업3폐업20200729<NA><NA><NA><NA><NA><NA>부산광역시 중구 남포동6가 91부산광역시 중구 비프광장로 18 (남포동6가)48981남포헐리우드 디스코팡팡20200730144344U2020-08-01 02:40:00.0<NA>384786.89744179575.949457허가유원시설업<NA>일반상업지역<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>디스코팡팡 1대<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
12일반유원시설업03_07_09_P3250000CDFI527100201100000120110506<NA>3폐업3폐업20130531<NA><NA><NA><NA><NA>600045부산광역시 중구 남포동5가 12-1번지 외 1필지 대영시네마 지하1층부산광역시 중구 비프광장로 37 (남포동5가,외 1필지 대영시네마 지하1층)<NA>노리존20130603180806I2018-08-31 23:59:59.0<NA>384985.448098179597.592954허가유원시설업<NA>일반상업지역6기타<NA><NA>문화시설64<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>558.0디스코팡팡 1종<NA>Y<NA>YY<NA><NA><NA><NA><NA><NA>558<NA>
23일반유원시설업03_07_09_P3250000CDFI527100201100000220111221<NA>3폐업3폐업20140512<NA><NA><NA>051-246-2710<NA>600046부산광역시 중구 남포동6가 91번지 2층부산광역시 중구 비프광장로 18 (남포동6가,2층)<NA>헐리우드놀이랜드20140512174351I2018-08-31 23:59:59.0<NA>384786.89744179575.949457허가유원시설업<NA><NA>7<NA><NA><NA><NA>2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>423.41디스코팡팡1대<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>423<NA>
34일반유원시설업03_07_09_P3250000CDFI527100201500000120151230<NA>3폐업3폐업20180301<NA><NA><NA><NA><NA><NA>부산광역시 중구 남포동6가 91번지 1층부산광역시 중구 비프광장로 18, 1층 (남포동6가)48981남포디스코팡팡20180730170223I2018-08-31 23:59:59.0<NA>384786.89744179575.949457허가유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>타가다디스코1종1Y<NA><NA>Y<NA><NA><NA><NA><NA><NA><NA><NA>
45일반유원시설업03_07_09_P3250000CDFI527100202000000120200527<NA>3폐업3폐업20201208<NA><NA><NA><NA><NA><NA>부산광역시 중구 남포동6가 91부산광역시 중구 비프광장로 18, 지하1층 (남포동6가)48981디 월드20201208181143U2020-12-10 02:40:00.0<NA>384786.89744179575.949457허가유원시설업<NA>일반상업지역<NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>디스코팡팡1대<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
56일반유원시설업03_07_09_P3270000CDFI527100201700000120170706<NA>3폐업3폐업20170911<NA><NA><NA>051-999-3000<NA><NA>부산광역시 동구 초량동 1185-1번지<NA><NA>부산항 시민 해수온천 야외수영장20170920175413I2018-08-31 23:59:59.0<NA>386466.092076181381.122678허가유원시설업<NA>일반상업지역<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>대형슬라이드1대,중형슬라이드2대,워터바스켓<NA>YY<NA>Y<NA><NA><NA><NA><NA><NA><NA><NA>
67일반유원시설업03_07_09_P3270000CDFI527100201700000220171025<NA>3폐업3폐업20181231<NA><NA><NA>051-900-6036<NA><NA>부산광역시 동구 초량동 45-39번지부산광역시 동구 충장대로 206 (초량동, 부산항 국제여객터미널)48751마블 익스피리언스20181227154904U2018-12-29 02:40:00.0<NA>386767.752701181913.054094허가유원시설업<NA>일반상업지역1기타<NA><NA><NA>10<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>안전검사 대상 유기기수: 1종3대 /안전검사 대상이 아닌 유기기구:1종4대<NA>YYYY<NA><NA><NA><NA><NA><NA><NA><NA>
78일반유원시설업03_07_09_P3270000CDFI527100201800000120180622<NA>3폐업3폐업20180831<NA><NA><NA>051-999-3000<NA><NA>부산광역시 동구 초량동 1185-1번지<NA><NA>부산항 시민 해수온천 야외수영장20180904172019U2018-09-04 23:59:59.0<NA>386466.092076181381.122678허가유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>4대<NA>YYYY<NA><NA><NA><NA><NA><NA><NA><NA>
89일반유원시설업03_07_09_P3280000CDFI527100200600000120060830<NA>1영업/정상13영업중<NA><NA><NA><NA>051-405-8745<NA>606080부산광역시 영도구 동삼동 산 19-2번지부산광역시 영도구 전망로 24 (동삼동)<NA>부산관광공사20190729180606U2019-07-31 02:40:00.0<NA>389672.112356175382.507826허가유원시설업유원시설업자연녹지지역<NA>기타<NA><NA>사무실<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1종 4대(1량32인석(총96인석) 2대, 1량24인석(총72인석)2대)1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
910일반유원시설업03_07_09_P3290000CDFI527100199000000119900523<NA>3폐업3폐업20051130<NA><NA><NA>806-4434<NA>614871부산광역시 부산진구 초읍동 43-0번지<NA><NA>성지곡랜드20080312122022I2018-08-31 23:59:59.0<NA>385929.647758189316.797075허가유원시설업유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NNNN<NA><NA><NA><NA><NA><NA><NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모Unnamed: 63
5051일반유원시설업03_07_09_P3350000CDFI527100201800000120180626<NA>2휴업2휴업<NA>2021010120210630<NA>051-550-1601,1425<NA><NA>부산광역시 금정구 두구동 1641 금정체육공원부산광역시 금정구 체육공원로399번길 324, 금정체육공원 (두구동)46207부산지방공단스포원20210208102601U2021-02-10 02:40:00.0<NA>391435.914412201165.165866허가유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5152일반유원시설업03_07_09_P3360000CDFI527100201500000120150114<NA>3폐업3폐업20150302<NA><NA><NA><NA><NA>618240부산광역시 강서구 범방동 1833번지 부산경남경마공원내부산광역시 강서구 가락대로 929 (범방동)618240필에이젠시20150309085410I2018-08-31 23:59:59.0<NA>371094.285733185672.987884허가유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>8750.0안전성검사 대상 : 1종 안전성검사 미대상 : 3종<NA>YYYY<NA><NA><NA><NA><NA><NA>8750<NA>
5253일반유원시설업03_07_09_P3380000CDFI527100200400000220040510<NA>3폐업3폐업20191005<NA><NA><NA><NA><NA>613828부산광역시 수영구 민락동 181-189번지 광안비치랜드부산광역시 수영구 민락수변로17번길 16 (민락동)48283광안비치랜드20191008164103U2019-10-10 02:40:00.0<NA>393556.488296185962.496807허가유원시설업유원시설업준주거지역<NA>기타<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2938.0안전성검사대상 4종4대(타가다디스코, 바이킹, 점보보트, 터미네이트)(비대상29종51대)26YYYY<NA><NA><NA><NA><NA><NA>2938<NA>
5354일반유원시설업03_07_09_P3380000CDFI527100201000000120100727<NA>3폐업3폐업20100901<NA><NA><NA><NA><NA>613828부산광역시 수영구 민락동 177-1번지 파로스O/T 1003부산광역시 수영구 광안해변로 263 (민락동,파로스O/T 1003)<NA>(주)엠케이코리아20100913160131I2018-08-31 23:59:59.0<NA>393339.479017186122.14438허가유원시설업<NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>안전성검사비대상 2종2개(개구리슬라이드, 용슬라이드)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5455일반유원시설업03_07_09_P3380000CDFI527100200700000120070720<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>613805부산광역시 수영구 광안동 192-5 (7층)부산광역시 수영구 광안해변로 225 (광안동,(7층))<NA>대명화성(주) 호텔아쿠아펠리스 지점20200925131011U2020-09-27 02:40:00.0<NA>393000.846003185934.805961허가유원시설업유원시설업일반상업지역22기타<NA><NA>숙박시설193<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>151.558종(바디슬라이드, 야외바디슬라이드, 유수풀1, 유수풀2, 어린이시설물1, 어린이시설물2, 어린이미끄럼틀, 미니슬라이드)8YYYY<NA><NA><NA><NA><NA><NA>152<NA>
5556일반유원시설업03_07_09_P3390000CDFI527100201600000120160715<NA>1영업/정상13영업중<NA><NA><NA><NA>051-313-3277<NA><NA>부산광역시 사상구 삼락동 29-71번지 (삼락생태공원 내)<NA><NA>블루25워터파크(삼락야외수영장)20170928145631I2018-08-31 23:59:59.0<NA>379461.562844186096.669546허가유원시설업<NA>자연녹지지역<NA>기타<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>863.0수중모험놀이 3종(자이언트,해적선,유수풀)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>863<NA>
5657일반유원시설업03_07_09_P3400000CDFI527100201300000120130801<NA>3폐업3폐업20130901<NA><NA><NA>051-754-6988<NA>619913부산광역시 기장군 일광면 원리 39번지<NA><NA>팡팡 물놀이 페스티벌20131021183341I2018-08-31 23:59:59.0<NA>403946.12715202930.766075허가유원시설업<NA>자연녹지지역<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>4종, 10종<NA>YYYY<NA><NA><NA><NA><NA><NA><NA><NA>
5758일반유원시설업03_07_09_P3400000CDFI527100201400000120140502<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>619953부산광역시 기장군 장안읍 좌천리 7부산광역시 기장군 장안읍 정관로 113346029위드엔터테인20201013140006U2020-10-15 02:40:00.0<NA>404680.589983203755.104482허가유원시설업<NA>자연녹지지역<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>안전성검사 대상 유기기구 2종<NA>YYYY<NA><NA><NA><NA><NA><NA><NA><NA>
5859일반유원시설업03_07_09_P3400000CDFI527100201500000120150424<NA>1영업/정상13영업중<NA><NA><NA><NA>051-901-2624<NA>619902부산광역시 기장군 기장읍 당사리 64부산광역시 기장군 기장읍 기장해안로 14746083(주)하이브리드시스템20201230113523U2021-01-01 02:40:00.0<NA>401669.0190270.0허가유원시설업<NA>일반상업지역<NA>기타<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3종 3대<NA>YYYY<NA><NA><NA><NA><NA><NA><NA><NA>
5960일반유원시설업03_07_09_P3400000CDFI527100201700000120170502<NA>1영업/정상13영업중<NA><NA><NA><NA>051-901-2882<NA><NA>부산광역시 기장군 기장읍 당사리 524부산광역시 기장군 기장읍 기장해안로 147 (롯데몰동부산점)46084한국LS레져20200710163635U2020-09-16 02:40:00.0<NA>401473.933606190354.279832허가유원시설업<NA>일반상업지역6기타<NA><NA>기타42<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>검사대상(4종3대-미니바이킹,슬라이딩빅카,회전UFO,미니디스코팡팡),검사비대상(6종39대-배터리카등)<NA>Y<NA><NA>Y<NA><NA><NA><NA><NA><NA><NA><NA>