Overview

Dataset statistics

Number of variables33
Number of observations770
Missing cells7786
Missing cells (%)30.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory213.7 KiB
Average record size in memory284.2 B

Variable types

Numeric8
Categorical8
Text6
Unsupported10
DateTime1

Dataset

Description2021-03-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123188

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
영업상태구분코드 has constant value ""Constant
영업상태명 has constant value ""Constant
상세영업상태코드 has constant value ""Constant
상세영업상태명 has constant value ""Constant
데이터갱신구분 is highly imbalanced (53.5%)Imbalance
인허가취소일자 has 770 (100.0%) missing valuesMissing
폐업일자 has 770 (100.0%) missing valuesMissing
휴업시작일자 has 770 (100.0%) missing valuesMissing
휴업종료일자 has 770 (100.0%) missing valuesMissing
재개업일자 has 770 (100.0%) missing valuesMissing
소재지전화 has 770 (100.0%) missing valuesMissing
소재지우편번호 has 770 (100.0%) missing valuesMissing
도로명전체주소 has 18 (2.3%) missing valuesMissing
도로명우편번호 has 66 (8.6%) missing valuesMissing
업태구분명 has 770 (100.0%) missing valuesMissing
해제일자 has 770 (100.0%) missing valuesMissing
Unnamed: 32 has 770 (100.0%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
최종수정시점 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
폐업일자 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
소재지전화 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
해제일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 32 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-16 20:12:10.649605
Analysis finished2024-04-16 20:12:11.397684
Duration0.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct770
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean385.5
Minimum1
Maximum770
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-04-17T05:12:11.451916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile39.45
Q1193.25
median385.5
Q3577.75
95-th percentile731.55
Maximum770
Range769
Interquartile range (IQR)384.5

Descriptive statistics

Standard deviation222.42414
Coefficient of variation (CV)0.57697573
Kurtosis-1.2
Mean385.5
Median Absolute Deviation (MAD)192.5
Skewness0
Sum296835
Variance49472.5
MonotonicityStrictly increasing
2024-04-17T05:12:11.565719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
579 1
 
0.1%
509 1
 
0.1%
510 1
 
0.1%
511 1
 
0.1%
512 1
 
0.1%
513 1
 
0.1%
514 1
 
0.1%
515 1
 
0.1%
516 1
 
0.1%
Other values (760) 760
98.7%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
770 1
0.1%
769 1
0.1%
768 1
0.1%
767 1
0.1%
766 1
0.1%
765 1
0.1%
764 1
0.1%
763 1
0.1%
762 1
0.1%
761 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
민방위급수시설
770 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
민방위급수시설 770
100.0%

Length

2024-04-17T05:12:11.673130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:12:11.744906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민방위급수시설 770
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
11_46_01_P
770 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11_46_01_P
2nd row11_46_01_P
3rd row11_46_01_P
4th row11_46_01_P
5th row11_46_01_P

Common Values

ValueCountFrequency (%)
11_46_01_P 770
100.0%

Length

2024-04-17T05:12:11.821943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:12:11.893162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11_46_01_p 770
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3327818.2
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-04-17T05:12:11.959811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3270000
Q13300000
median3330000
Q33350000
95-th percentile3390000
Maximum3400000
Range150000
Interquartile range (IQR)50000

Descriptive statistics

Standard deviation37279.644
Coefficient of variation (CV)0.011202428
Kurtosis-0.84341685
Mean3327818.2
Median Absolute Deviation (MAD)30000
Skewness0.12927874
Sum2.56242 × 109
Variance1.3897718 × 109
MonotonicityDecreasing
2024-04-17T05:12:12.054471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3330000 107
13.9%
3290000 94
12.2%
3300000 74
9.6%
3390000 70
9.1%
3340000 68
8.8%
3320000 64
8.3%
3350000 63
8.2%
3370000 47
6.1%
3310000 37
 
4.8%
3280000 36
 
4.7%
Other values (6) 110
14.3%
ValueCountFrequency (%)
3250000 9
 
1.2%
3260000 19
 
2.5%
3270000 23
 
3.0%
3280000 36
 
4.7%
3290000 94
12.2%
3300000 74
9.6%
3310000 37
 
4.8%
3320000 64
8.3%
3330000 107
13.9%
3340000 68
8.8%
ValueCountFrequency (%)
3400000 11
 
1.4%
3390000 70
9.1%
3380000 34
 
4.4%
3370000 47
6.1%
3360000 14
 
1.8%
3350000 63
8.2%
3340000 68
8.8%
3330000 107
13.9%
3320000 64
8.3%
3310000 37
 
4.8%

관리번호
Text

UNIQUE 

Distinct770
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
2024-04-17T05:12:12.205877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters13860
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique770 ?
Unique (%)100.0%

Sample

1st row3400000-E201100001
2nd row3400000-E199700006
3rd row3400000-E199700005
4th row3400000-E200800002
5th row3400000-E200800001
ValueCountFrequency (%)
3400000-e201100001 1
 
0.1%
3300000-e201800003 1
 
0.1%
3300000-e201300006 1
 
0.1%
3300000-e199500003 1
 
0.1%
3310000-e199600001 1
 
0.1%
3310000-e198900001 1
 
0.1%
3310000-e199500007 1
 
0.1%
3310000-e200700002 1
 
0.1%
3310000-e200700003 1
 
0.1%
3310000-e199700001 1
 
0.1%
Other values (760) 760
98.7%
2024-04-17T05:12:12.451520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6667
48.1%
3 1665
 
12.0%
1 1046
 
7.5%
9 1035
 
7.5%
2 827
 
6.0%
- 770
 
5.6%
E 770
 
5.6%
5 272
 
2.0%
4 250
 
1.8%
8 242
 
1.7%
Other values (2) 316
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12320
88.9%
Dash Punctuation 770
 
5.6%
Uppercase Letter 770
 
5.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6667
54.1%
3 1665
 
13.5%
1 1046
 
8.5%
9 1035
 
8.4%
2 827
 
6.7%
5 272
 
2.2%
4 250
 
2.0%
8 242
 
2.0%
7 185
 
1.5%
6 131
 
1.1%
Dash Punctuation
ValueCountFrequency (%)
- 770
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 770
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13090
94.4%
Latin 770
 
5.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6667
50.9%
3 1665
 
12.7%
1 1046
 
8.0%
9 1035
 
7.9%
2 827
 
6.3%
- 770
 
5.9%
5 272
 
2.1%
4 250
 
1.9%
8 242
 
1.8%
7 185
 
1.4%
Latin
ValueCountFrequency (%)
E 770
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13860
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6667
48.1%
3 1665
 
12.0%
1 1046
 
7.5%
9 1035
 
7.5%
2 827
 
6.0%
- 770
 
5.6%
E 770
 
5.6%
5 272
 
2.0%
4 250
 
1.8%
8 242
 
1.7%
Other values (2) 316
 
2.3%

인허가일자
Real number (ℝ)

Distinct472
Distinct (%)61.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20018225
Minimum19730123
Maximum20201021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-04-17T05:12:12.565824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19730123
5-th percentile19880101
Q119950103
median19981122
Q320110323
95-th percentile20190417
Maximum20201021
Range470898
Interquartile range (IQR)160220.25

Descriptive statistics

Standard deviation101203.42
Coefficient of variation (CV)0.0050555643
Kurtosis-0.88610199
Mean20018225
Median Absolute Deviation (MAD)70087.5
Skewness0.13963067
Sum1.5414033 × 1010
Variance1.0242133 × 1010
MonotonicityNot monotonic
2024-04-17T05:12:12.677751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20110323 16
 
2.1%
20130315 15
 
1.9%
20130226 13
 
1.7%
19950102 10
 
1.3%
19950315 10
 
1.3%
20130917 9
 
1.2%
20141208 8
 
1.0%
20190416 8
 
1.0%
20090626 7
 
0.9%
19950501 6
 
0.8%
Other values (462) 668
86.8%
ValueCountFrequency (%)
19730123 1
 
0.1%
19731226 1
 
0.1%
19760101 1
 
0.1%
19771231 4
0.5%
19801219 1
 
0.1%
19801220 1
 
0.1%
19810320 1
 
0.1%
19810930 1
 
0.1%
19821212 1
 
0.1%
19821217 1
 
0.1%
ValueCountFrequency (%)
20201021 5
0.6%
20200708 3
0.4%
20200612 2
 
0.3%
20200608 1
 
0.1%
20200220 1
 
0.1%
20191218 1
 
0.1%
20191209 2
 
0.3%
20191203 1
 
0.1%
20191127 1
 
0.1%
20191125 1
 
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing770
Missing (%)100.0%
Memory size6.9 KiB

영업상태구분코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
1
770 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 770
100.0%

Length

2024-04-17T05:12:12.775656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:12:12.843999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 770
100.0%

영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
영업/정상
770 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 770
100.0%

Length

2024-04-17T05:12:12.914885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:12:12.985500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 770
100.0%

상세영업상태코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
18
770 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row18
2nd row18
3rd row18
4th row18
5th row18

Common Values

ValueCountFrequency (%)
18 770
100.0%

Length

2024-04-17T05:12:13.056446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:12:13.124766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
18 770
100.0%

상세영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
사용중
770 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사용중 770
100.0%

Length

2024-04-17T05:12:13.196238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:12:13.265897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사용중 770
100.0%

폐업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing770
Missing (%)100.0%
Memory size6.9 KiB

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing770
Missing (%)100.0%
Memory size6.9 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing770
Missing (%)100.0%
Memory size6.9 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing770
Missing (%)100.0%
Memory size6.9 KiB

소재지전화
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing770
Missing (%)100.0%
Memory size6.9 KiB

소재지면적
Real number (ℝ)

Distinct126
Distinct (%)16.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean110.95584
Minimum10
Maximum1000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-04-17T05:12:13.374961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile36
Q163
median89
Q3120
95-th percentile282.2
Maximum1000
Range990
Interquartile range (IQR)57

Descriptive statistics

Standard deviation92.790271
Coefficient of variation (CV)0.83628106
Kurtosis25.106606
Mean110.95584
Median Absolute Deviation (MAD)29
Skewness4.0624289
Sum85436
Variance8610.0345
MonotonicityNot monotonic
2024-04-17T05:12:13.513217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 90
 
11.7%
80 71
 
9.2%
50 56
 
7.3%
60 44
 
5.7%
70 40
 
5.2%
90 38
 
4.9%
150 35
 
4.5%
30 28
 
3.6%
120 23
 
3.0%
200 17
 
2.2%
Other values (116) 328
42.6%
ValueCountFrequency (%)
10 1
 
0.1%
15 1
 
0.1%
20 2
 
0.3%
30 28
3.6%
32 1
 
0.1%
33 2
 
0.3%
35 1
 
0.1%
36 7
 
0.9%
40 15
1.9%
42 2
 
0.3%
ValueCountFrequency (%)
1000 1
 
0.1%
918 1
 
0.1%
705 1
 
0.1%
666 1
 
0.1%
620 1
 
0.1%
550 1
 
0.1%
508 2
0.3%
500 3
0.4%
450 1
 
0.1%
421 1
 
0.1%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing770
Missing (%)100.0%
Memory size6.9 KiB

소재지전체주소
Text

Distinct742
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
2024-04-17T05:12:13.814352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length31
Mean length21.622078
Min length17

Characters and Unicode

Total characters16649
Distinct characters141
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique715 ?
Unique (%)92.9%

Sample

1st row부산광역시 기장군 철마면 5번지
2nd row부산광역시 기장군 장안읍 425번지
3rd row부산광역시 기장군 기장읍 149번지 2호
4th row부산광역시 기장군 정관읍 926번지
5th row부산광역시 기장군 일광면 12번지
ValueCountFrequency (%)
부산광역시 770
 
21.2%
1호 115
 
3.2%
해운대구 107
 
2.9%
부산진구 94
 
2.6%
동래구 74
 
2.0%
사상구 70
 
1.9%
사하구 68
 
1.9%
북구 64
 
1.8%
금정구 63
 
1.7%
2호 48
 
1.3%
Other values (773) 2166
59.5%
2024-04-17T05:12:14.228823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2869
17.2%
산 923
 
5.5%
부 897
 
5.4%
동 888
 
5.3%
구 795
 
4.8%
광 788
 
4.7%
지 776
 
4.7%
역 770
 
4.6%
시 770
 
4.6%
번 761
 
4.6%
Other values (131) 6412
38.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10630
63.8%
Decimal Number 3141
 
18.9%
Space Separator 2869
 
17.2%
Dash Punctuation 9
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 923
 
8.7%
부 897
 
8.4%
동 888
 
8.4%
구 795
 
7.5%
광 788
 
7.4%
지 776
 
7.3%
역 770
 
7.2%
시 770
 
7.2%
번 761
 
7.2%
호 536
 
5.0%
Other values (119) 2726
25.6%
Decimal Number
ValueCountFrequency (%)
1 711
22.6%
2 383
12.2%
3 360
11.5%
5 295
9.4%
4 277
 
8.8%
7 250
 
8.0%
6 228
 
7.3%
8 225
 
7.2%
0 219
 
7.0%
9 193
 
6.1%
Space Separator
ValueCountFrequency (%)
2869
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10630
63.8%
Common 6019
36.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 923
 
8.7%
부 897
 
8.4%
동 888
 
8.4%
구 795
 
7.5%
광 788
 
7.4%
지 776
 
7.3%
역 770
 
7.2%
시 770
 
7.2%
번 761
 
7.2%
호 536
 
5.0%
Other values (119) 2726
25.6%
Common
ValueCountFrequency (%)
2869
47.7%
1 711
 
11.8%
2 383
 
6.4%
3 360
 
6.0%
5 295
 
4.9%
4 277
 
4.6%
7 250
 
4.2%
6 228
 
3.8%
8 225
 
3.7%
0 219
 
3.6%
Other values (2) 202
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10630
63.8%
ASCII 6019
36.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2869
47.7%
1 711
 
11.8%
2 383
 
6.4%
3 360
 
6.0%
5 295
 
4.9%
4 277
 
4.6%
7 250
 
4.2%
6 228
 
3.8%
8 225
 
3.7%
0 219
 
3.6%
Other values (2) 202
 
3.4%
Hangul
ValueCountFrequency (%)
산 923
 
8.7%
부 897
 
8.4%
동 888
 
8.4%
구 795
 
7.5%
광 788
 
7.4%
지 776
 
7.3%
역 770
 
7.2%
시 770
 
7.2%
번 761
 
7.2%
호 536
 
5.0%
Other values (119) 2726
25.6%

도로명전체주소
Text

MISSING 

Distinct734
Distinct (%)97.6%
Missing18
Missing (%)2.3%
Memory size6.1 KiB
2024-04-17T05:12:14.525840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length36
Mean length29.93617
Min length15

Characters and Unicode

Total characters22512
Distinct characters348
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

Unique717 ?
Unique (%)95.3%

Sample

1st row부산광역시 기장군 철마면 여락송정로 363 (S&T모티브)
2nd row부산광역시 기장군 장안읍 장안고길 8-16 (부산장안고등학교)
3rd row부산광역시 기장군 기장읍 차성동로5번길 10 (기장읍사무소)
4th row부산광역시 기장군 정관읍 농공길 89-2 (골든블루)
5th row부산광역시 기장군 일광면 차양길 26 (아시아드CC)
ValueCountFrequency (%)
부산광역시 752
 
18.2%
해운대구 107
 
2.6%
부산진구 94
 
2.3%
동래구 72
 
1.7%
사상구 68
 
1.6%
사하구 65
 
1.6%
북구 61
 
1.5%
금정구 58
 
1.4%
연제구 46
 
1.1%
남구 37
 
0.9%
Other values (1365) 2783
67.2%
2024-04-17T05:12:14.945138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3391
 
15.1%
산 954
 
4.2%
동 952
 
4.2%
부 915
 
4.1%
광 803
 
3.6%
구 796
 
3.5%
시 776
 
3.4%
역 752
 
3.3%
) 730
 
3.2%
( 730
 
3.2%
Other values (338) 11713
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14211
63.1%
Space Separator 3391
 
15.1%
Decimal Number 2918
 
13.0%
Close Punctuation 730
 
3.2%
Open Punctuation 730
 
3.2%
Other Punctuation 387
 
1.7%
Dash Punctuation 131
 
0.6%
Uppercase Letter 14
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 954
 
6.7%
동 952
 
6.7%
부 915
 
6.4%
광 803
 
5.7%
구 796
 
5.6%
시 776
 
5.5%
역 752
 
5.3%
로 724
 
5.1%
길 387
 
2.7%
대 378
 
2.7%
Other values (314) 6774
47.7%
Decimal Number
ValueCountFrequency (%)
1 607
20.8%
2 417
14.3%
3 297
10.2%
4 276
9.5%
0 253
8.7%
6 247
8.5%
5 246
8.4%
7 211
 
7.2%
9 204
 
7.0%
8 160
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
S 3
21.4%
T 2
14.3%
I 2
14.3%
C 2
14.3%
K 2
14.3%
B 1
 
7.1%
H 1
 
7.1%
V 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
, 386
99.7%
& 1
 
0.3%
Space Separator
ValueCountFrequency (%)
3391
100.0%
Close Punctuation
ValueCountFrequency (%)
) 730
100.0%
Open Punctuation
ValueCountFrequency (%)
( 730
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 131
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14211
63.1%
Common 8287
36.8%
Latin 14
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 954
 
6.7%
동 952
 
6.7%
부 915
 
6.4%
광 803
 
5.7%
구 796
 
5.6%
시 776
 
5.5%
역 752
 
5.3%
로 724
 
5.1%
길 387
 
2.7%
대 378
 
2.7%
Other values (314) 6774
47.7%
Common
ValueCountFrequency (%)
3391
40.9%
) 730
 
8.8%
( 730
 
8.8%
1 607
 
7.3%
2 417
 
5.0%
, 386
 
4.7%
3 297
 
3.6%
4 276
 
3.3%
0 253
 
3.1%
6 247
 
3.0%
Other values (6) 953
 
11.5%
Latin
ValueCountFrequency (%)
S 3
21.4%
T 2
14.3%
I 2
14.3%
C 2
14.3%
K 2
14.3%
B 1
 
7.1%
H 1
 
7.1%
V 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14211
63.1%
ASCII 8301
36.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3391
40.9%
) 730
 
8.8%
( 730
 
8.8%
1 607
 
7.3%
2 417
 
5.0%
, 386
 
4.7%
3 297
 
3.6%
4 276
 
3.3%
0 253
 
3.0%
6 247
 
3.0%
Other values (14) 967
 
11.6%
Hangul
ValueCountFrequency (%)
산 954
 
6.7%
동 952
 
6.7%
부 915
 
6.4%
광 803
 
5.7%
구 796
 
5.6%
시 776
 
5.5%
역 752
 
5.3%
로 724
 
5.1%
길 387
 
2.7%
대 378
 
2.7%
Other values (314) 6774
47.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct512
Distinct (%)72.7%
Missing66
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean176704.99
Minimum46002
Maximum618230
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-04-17T05:12:15.054032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46002
5-th percentile46537.15
Q147339.5
median48113.5
Q349458
95-th percentile614821.7
Maximum618230
Range572228
Interquartile range (IQR)2118.5

Descriptive statistics

Standard deviation236692.79
Coefficient of variation (CV)1.33948
Kurtosis-0.32371519
Mean176704.99
Median Absolute Deviation (MAD)1090.5
Skewness1.2949078
Sum1.2440031 × 108
Variance5.6023475 × 1010
MonotonicityNot monotonic
2024-04-17T05:12:15.151528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46935 5
 
0.6%
49360 5
 
0.6%
48076 5
 
0.6%
48080 5
 
0.6%
48075 5
 
0.6%
48026 5
 
0.6%
46928 5
 
0.6%
609380 4
 
0.5%
48053 4
 
0.5%
48086 4
 
0.5%
Other values (502) 657
85.3%
(Missing) 66
 
8.6%
ValueCountFrequency (%)
46002 1
0.1%
46003 1
0.1%
46013 1
0.1%
46020 1
0.1%
46029 1
0.1%
46041 1
0.1%
46062 1
0.1%
46063 1
0.1%
46068 1
0.1%
46070 1
0.1%
ValueCountFrequency (%)
618230 1
0.1%
617788 1
0.1%
616831 1
0.1%
616829 1
0.1%
616827 1
0.1%
616820 1
0.1%
616792 1
0.1%
616785 1
0.1%
616772 1
0.1%
616762 1
0.1%

사업장명
Text

Distinct762
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
2024-04-17T05:12:15.345885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length22
Mean length8.2675325
Min length3

Characters and Unicode

Total characters6366
Distinct characters395
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique754 ?
Unique (%)97.9%

Sample

1st rowS&T모티브
2nd row장안고등학교
3rd row기장읍사무소
4th row(주)골든블루
5th row아시아드컨트리클럽(주)
ValueCountFrequency (%)
비상급수시설 10
 
1.1%
옆 9
 
1.0%
앞 9
 
1.0%
c.c 5
 
0.6%
하이스트 5
 
0.6%
사이 4
 
0.4%
뒤 4
 
0.4%
현대아파트 3
 
0.3%
주차장 3
 
0.3%
대우그린아파트 2
 
0.2%
Other values (829) 853
94.0%
2024-04-17T05:12:15.654027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 278
 
4.4%
아 232
 
3.6%
트 210
 
3.3%
파 209
 
3.3%
( 201
 
3.2%
) 201
 
3.2%
160
 
2.5%
1 126
 
2.0%
교 123
 
1.9%
학 122
 
1.9%
Other values (385) 4504
70.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5285
83.0%
Decimal Number 371
 
5.8%
Open Punctuation 201
 
3.2%
Close Punctuation 201
 
3.2%
Space Separator 160
 
2.5%
Uppercase Letter 96
 
1.5%
Other Punctuation 27
 
0.4%
Dash Punctuation 19
 
0.3%
Connector Punctuation 2
 
< 0.1%
Letter Number 2
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 278
 
5.3%
아 232
 
4.4%
트 210
 
4.0%
파 209
 
4.0%
교 123
 
2.3%
학 122
 
2.3%
수 94
 
1.8%
대 90
 
1.7%
원 86
 
1.6%
산 83
 
1.6%
Other values (351) 3758
71.1%
Uppercase Letter
ValueCountFrequency (%)
A 26
27.1%
T 20
20.8%
P 18
18.8%
C 11
11.5%
B 9
 
9.4%
K 3
 
3.1%
S 3
 
3.1%
E 2
 
2.1%
V 1
 
1.0%
M 1
 
1.0%
Other values (2) 2
 
2.1%
Decimal Number
ValueCountFrequency (%)
1 126
34.0%
2 106
28.6%
3 41
 
11.1%
0 33
 
8.9%
4 29
 
7.8%
5 12
 
3.2%
8 8
 
2.2%
7 7
 
1.9%
6 6
 
1.6%
9 3
 
0.8%
Other Punctuation
ValueCountFrequency (%)
. 16
59.3%
, 10
37.0%
& 1
 
3.7%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅰ 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 201
100.0%
Close Punctuation
ValueCountFrequency (%)
) 201
100.0%
Space Separator
ValueCountFrequency (%)
160
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5285
83.0%
Common 982
 
15.4%
Latin 99
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 278
 
5.3%
아 232
 
4.4%
트 210
 
4.0%
파 209
 
4.0%
교 123
 
2.3%
학 122
 
2.3%
수 94
 
1.8%
대 90
 
1.7%
원 86
 
1.6%
산 83
 
1.6%
Other values (351) 3758
71.1%
Common
ValueCountFrequency (%)
( 201
20.5%
) 201
20.5%
160
16.3%
1 126
12.8%
2 106
10.8%
3 41
 
4.2%
0 33
 
3.4%
4 29
 
3.0%
- 19
 
1.9%
. 16
 
1.6%
Other values (9) 50
 
5.1%
Latin
ValueCountFrequency (%)
A 26
26.3%
T 20
20.2%
P 18
18.2%
C 11
11.1%
B 9
 
9.1%
K 3
 
3.0%
S 3
 
3.0%
E 2
 
2.0%
V 1
 
1.0%
M 1
 
1.0%
Other values (5) 5
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5285
83.0%
ASCII 1079
 
16.9%
Number Forms 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 278
 
5.3%
아 232
 
4.4%
트 210
 
4.0%
파 209
 
4.0%
교 123
 
2.3%
학 122
 
2.3%
수 94
 
1.8%
대 90
 
1.7%
원 86
 
1.6%
산 83
 
1.6%
Other values (351) 3758
71.1%
ASCII
ValueCountFrequency (%)
( 201
18.6%
) 201
18.6%
160
14.8%
1 126
11.7%
2 106
9.8%
3 41
 
3.8%
0 33
 
3.1%
4 29
 
2.7%
A 26
 
2.4%
T 20
 
1.9%
Other values (22) 136
12.6%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅰ 1
50.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct770
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.019477 × 1013
Minimum2.0161202 × 1013
Maximum2.0210126 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-04-17T05:12:15.777926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0161202 × 1013
5-th percentile2.0180619 × 1013
Q12.0190709 × 1013
median2.0200106 × 1013
Q32.020061 × 1013
95-th percentile2.020112 × 1013
Maximum2.0210126 × 1013
Range4.8923935 × 1010
Interquartile range (IQR)9.9010267 × 109

Descriptive statistics

Standard deviation7.4463428 × 109
Coefficient of variation (CV)0.00036872631
Kurtosis1.0914815
Mean2.019477 × 1013
Median Absolute Deviation (MAD)8.9800283 × 109
Skewness-0.79362142
Sum1.5549973 × 1016
Variance5.5448022 × 1019
MonotonicityNot monotonic
2024-04-17T05:12:15.906347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200617095525 1
 
0.1%
20201110094503 1
 
0.1%
20190403121046 1
 
0.1%
20191029094911 1
 
0.1%
20191112161044 1
 
0.1%
20191112161135 1
 
0.1%
20191029094841 1
 
0.1%
20190603114549 1
 
0.1%
20191029095316 1
 
0.1%
20200826155756 1
 
0.1%
Other values (760) 760
98.7%
ValueCountFrequency (%)
20161202155155 1
0.1%
20161202155240 1
0.1%
20171105150536 1
0.1%
20171105150822 1
0.1%
20171115134130 1
0.1%
20171115134154 1
0.1%
20171115134357 1
0.1%
20171115134428 1
0.1%
20171120183230 1
0.1%
20171120183318 1
0.1%
ValueCountFrequency (%)
20210126090343 1
0.1%
20210118111236 1
0.1%
20210115104001 1
0.1%
20210111175311 1
0.1%
20210110202832 1
0.1%
20210110202809 1
0.1%
20210108164551 1
0.1%
20210108162426 1
0.1%
20210108143602 1
0.1%
20210108143540 1
0.1%

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
U
694 
I
76 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 694
90.1%
I 76
 
9.9%

Length

2024-04-17T05:12:16.032854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:12:16.128118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 694
90.1%
i 76
 
9.9%

데이터갱신일자
Date

Distinct142
Distinct (%)18.4%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
Minimum2018-08-31 23:59:59
Maximum2021-01-28 02:40:00
2024-04-17T05:12:16.210157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T05:12:16.319884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing770
Missing (%)100.0%
Memory size6.9 KiB

좌표정보(x)
Real number (ℝ)

Distinct740
Distinct (%)96.2%
Missing1
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean387766.72
Minimum365093.53
Maximum403863.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-04-17T05:12:16.656826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum365093.53
5-th percentile379900.82
Q1383535.06
median388039.28
Q3391717.31
95-th percentile398223.42
Maximum403863.06
Range38769.528
Interquartile range (IQR)8182.2499

Descriptive statistics

Standard deviation5943.5796
Coefficient of variation (CV)0.01532772
Kurtosis1.2857679
Mean387766.72
Median Absolute Deviation (MAD)3993.2869
Skewness-0.35817848
Sum2.9819261 × 108
Variance35326139
MonotonicityNot monotonic
2024-04-17T05:12:16.765307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
365188.415616404 3
 
0.4%
383156.62103053 3
 
0.4%
365093.532168897 2
 
0.3%
387155.32012803 2
 
0.3%
398571.069434432 2
 
0.3%
397511.523287988 2
 
0.3%
383466.393861237 2
 
0.3%
389260.548282889 2
 
0.3%
391175.94401725 2
 
0.3%
388059.83406867 2
 
0.3%
Other values (730) 747
97.0%
ValueCountFrequency (%)
365093.532168897 2
0.3%
365188.415616404 3
0.4%
366788.295827381 1
 
0.1%
367236.446672806 1
 
0.1%
367528.826420381 2
0.3%
367648.117016676 1
 
0.1%
369427.393391604 1
 
0.1%
370994.081712943 1
 
0.1%
371317.011376877 1
 
0.1%
371387.421162443 1
 
0.1%
ValueCountFrequency (%)
403863.06017145 1
0.1%
403406.765135 1
0.1%
402234.914909974 1
0.1%
401822.409452 1
0.1%
401641.760766818 1
0.1%
401459.744803988 1
0.1%
401026.635683228 1
0.1%
400334.693672 1
0.1%
400079.97001 1
0.1%
399939.634338115 1
0.1%

좌표정보(y)
Real number (ℝ)

Distinct740
Distinct (%)96.2%
Missing1
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean187436.2
Minimum174249.72
Maximum209676.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-04-17T05:12:16.877883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174249.72
5-th percentile177980.36
Q1183543.22
median187739.82
Q3191158.66
95-th percentile197129.19
Maximum209676.73
Range35427.008
Interquartile range (IQR)7615.4355

Descriptive statistics

Standard deviation5724.178
Coefficient of variation (CV)0.030539341
Kurtosis0.042607251
Mean187436.2
Median Absolute Deviation (MAD)3710.2131
Skewness0.11270982
Sum1.4413843 × 108
Variance32766213
MonotonicityNot monotonic
2024-04-17T05:12:16.987738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
183730.918148255 3
 
0.4%
194572.775997919 3
 
0.4%
183570.296667016 2
 
0.3%
189360.032073147 2
 
0.3%
188718.326303818 2
 
0.3%
187875.940355362 2
 
0.3%
191812.597924166 2
 
0.3%
189204.555889311 2
 
0.3%
189243.108609976 2
 
0.3%
177638.283718713 2
 
0.3%
Other values (730) 747
97.0%
ValueCountFrequency (%)
174249.724751587 1
0.1%
174325.807501869 1
0.1%
174421.605398364 1
0.1%
174491.469961028 1
0.1%
174681.114803769 1
0.1%
175081.417763415 1
0.1%
175174.167157194 1
0.1%
175600.306155257 1
0.1%
175800.432633631 1
0.1%
175926.54316796 1
0.1%
ValueCountFrequency (%)
209676.73239 1
0.1%
205514.854454 1
0.1%
205440.958954 1
0.1%
204753.938032 1
0.1%
202470.987244078 1
0.1%
201921.509048528 1
0.1%
201685.766734312 1
0.1%
201297.267750552 1
0.1%
200883.36530113 1
0.1%
200873.361207398 1
0.1%

비상시설위치
Text

Distinct742
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
2024-04-17T05:12:17.266217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length31
Mean length21.622078
Min length17

Characters and Unicode

Total characters16649
Distinct characters141
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique715 ?
Unique (%)92.9%

Sample

1st row부산광역시 기장군 철마면 5번지
2nd row부산광역시 기장군 장안읍 425번지
3rd row부산광역시 기장군 기장읍 149번지 2호
4th row부산광역시 기장군 정관읍 926번지
5th row부산광역시 기장군 일광면 12번지
ValueCountFrequency (%)
부산광역시 770
 
21.2%
1호 115
 
3.2%
해운대구 107
 
2.9%
부산진구 94
 
2.6%
동래구 74
 
2.0%
사상구 70
 
1.9%
사하구 68
 
1.9%
북구 64
 
1.8%
금정구 63
 
1.7%
2호 48
 
1.3%
Other values (773) 2166
59.5%
2024-04-17T05:12:17.641081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2869
17.2%
산 923
 
5.5%
부 897
 
5.4%
동 888
 
5.3%
구 795
 
4.8%
광 788
 
4.7%
지 776
 
4.7%
역 770
 
4.6%
시 770
 
4.6%
번 761
 
4.6%
Other values (131) 6412
38.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10630
63.8%
Decimal Number 3141
 
18.9%
Space Separator 2869
 
17.2%
Dash Punctuation 9
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 923
 
8.7%
부 897
 
8.4%
동 888
 
8.4%
구 795
 
7.5%
광 788
 
7.4%
지 776
 
7.3%
역 770
 
7.2%
시 770
 
7.2%
번 761
 
7.2%
호 536
 
5.0%
Other values (119) 2726
25.6%
Decimal Number
ValueCountFrequency (%)
1 711
22.6%
2 383
12.2%
3 360
11.5%
5 295
9.4%
4 277
 
8.8%
7 250
 
8.0%
6 228
 
7.3%
8 225
 
7.2%
0 219
 
7.0%
9 193
 
6.1%
Space Separator
ValueCountFrequency (%)
2869
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10630
63.8%
Common 6019
36.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 923
 
8.7%
부 897
 
8.4%
동 888
 
8.4%
구 795
 
7.5%
광 788
 
7.4%
지 776
 
7.3%
역 770
 
7.2%
시 770
 
7.2%
번 761
 
7.2%
호 536
 
5.0%
Other values (119) 2726
25.6%
Common
ValueCountFrequency (%)
2869
47.7%
1 711
 
11.8%
2 383
 
6.4%
3 360
 
6.0%
5 295
 
4.9%
4 277
 
4.6%
7 250
 
4.2%
6 228
 
3.8%
8 225
 
3.7%
0 219
 
3.6%
Other values (2) 202
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10630
63.8%
ASCII 6019
36.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2869
47.7%
1 711
 
11.8%
2 383
 
6.4%
3 360
 
6.0%
5 295
 
4.9%
4 277
 
4.6%
7 250
 
4.2%
6 228
 
3.8%
8 225
 
3.7%
0 219
 
3.6%
Other values (2) 202
 
3.4%
Hangul
ValueCountFrequency (%)
산 923
 
8.7%
부 897
 
8.4%
동 888
 
8.4%
구 795
 
7.5%
광 788
 
7.4%
지 776
 
7.3%
역 770
 
7.2%
시 770
 
7.2%
번 761
 
7.2%
호 536
 
5.0%
Other values (119) 2726
25.6%

시설구분명
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
민간시설
462 
자치단체자체시설
130 
공공시설
111 
정부지원시설
67 

Length

Max length8
Median length4
Mean length4.8493506
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row민간시설
2nd row정부지원시설
3rd row정부지원시설
4th row민간시설
5th row민간시설

Common Values

ValueCountFrequency (%)
민간시설 462
60.0%
자치단체자체시설 130
 
16.9%
공공시설 111
 
14.4%
정부지원시설 67
 
8.7%

Length

2024-04-17T05:12:17.758864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:12:17.854253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민간시설 462
60.0%
자치단체자체시설 130
 
16.9%
공공시설 111
 
14.4%
정부지원시설 67
 
8.7%

시설명건물명
Text

Distinct762
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
2024-04-17T05:12:18.047061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length22
Mean length8.2675325
Min length3

Characters and Unicode

Total characters6366
Distinct characters395
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique754 ?
Unique (%)97.9%

Sample

1st rowS&T모티브
2nd row장안고등학교
3rd row기장읍사무소
4th row(주)골든블루
5th row아시아드컨트리클럽(주)
ValueCountFrequency (%)
비상급수시설 10
 
1.1%
옆 9
 
1.0%
앞 9
 
1.0%
c.c 5
 
0.6%
하이스트 5
 
0.6%
사이 4
 
0.4%
뒤 4
 
0.4%
현대아파트 3
 
0.3%
주차장 3
 
0.3%
대우그린아파트 2
 
0.2%
Other values (829) 853
94.0%
2024-04-17T05:12:18.351506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 278
 
4.4%
아 232
 
3.6%
트 210
 
3.3%
파 209
 
3.3%
( 201
 
3.2%
) 201
 
3.2%
160
 
2.5%
1 126
 
2.0%
교 123
 
1.9%
학 122
 
1.9%
Other values (385) 4504
70.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5285
83.0%
Decimal Number 371
 
5.8%
Open Punctuation 201
 
3.2%
Close Punctuation 201
 
3.2%
Space Separator 160
 
2.5%
Uppercase Letter 96
 
1.5%
Other Punctuation 27
 
0.4%
Dash Punctuation 19
 
0.3%
Connector Punctuation 2
 
< 0.1%
Letter Number 2
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 278
 
5.3%
아 232
 
4.4%
트 210
 
4.0%
파 209
 
4.0%
교 123
 
2.3%
학 122
 
2.3%
수 94
 
1.8%
대 90
 
1.7%
원 86
 
1.6%
산 83
 
1.6%
Other values (351) 3758
71.1%
Uppercase Letter
ValueCountFrequency (%)
A 26
27.1%
T 20
20.8%
P 18
18.8%
C 11
11.5%
B 9
 
9.4%
K 3
 
3.1%
S 3
 
3.1%
E 2
 
2.1%
V 1
 
1.0%
M 1
 
1.0%
Other values (2) 2
 
2.1%
Decimal Number
ValueCountFrequency (%)
1 126
34.0%
2 106
28.6%
3 41
 
11.1%
0 33
 
8.9%
4 29
 
7.8%
5 12
 
3.2%
8 8
 
2.2%
7 7
 
1.9%
6 6
 
1.6%
9 3
 
0.8%
Other Punctuation
ValueCountFrequency (%)
. 16
59.3%
, 10
37.0%
& 1
 
3.7%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅰ 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 201
100.0%
Close Punctuation
ValueCountFrequency (%)
) 201
100.0%
Space Separator
ValueCountFrequency (%)
160
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5285
83.0%
Common 982
 
15.4%
Latin 99
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 278
 
5.3%
아 232
 
4.4%
트 210
 
4.0%
파 209
 
4.0%
교 123
 
2.3%
학 122
 
2.3%
수 94
 
1.8%
대 90
 
1.7%
원 86
 
1.6%
산 83
 
1.6%
Other values (351) 3758
71.1%
Common
ValueCountFrequency (%)
( 201
20.5%
) 201
20.5%
160
16.3%
1 126
12.8%
2 106
10.8%
3 41
 
4.2%
0 33
 
3.4%
4 29
 
3.0%
- 19
 
1.9%
. 16
 
1.6%
Other values (9) 50
 
5.1%
Latin
ValueCountFrequency (%)
A 26
26.3%
T 20
20.2%
P 18
18.2%
C 11
11.1%
B 9
 
9.1%
K 3
 
3.0%
S 3
 
3.0%
E 2
 
2.0%
V 1
 
1.0%
M 1
 
1.0%
Other values (5) 5
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5285
83.0%
ASCII 1079
 
16.9%
Number Forms 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 278
 
5.3%
아 232
 
4.4%
트 210
 
4.0%
파 209
 
4.0%
교 123
 
2.3%
학 122
 
2.3%
수 94
 
1.8%
대 90
 
1.7%
원 86
 
1.6%
산 83
 
1.6%
Other values (351) 3758
71.1%
ASCII
ValueCountFrequency (%)
( 201
18.6%
) 201
18.6%
160
14.8%
1 126
11.7%
2 106
9.8%
3 41
 
3.8%
0 33
 
3.1%
4 29
 
2.7%
A 26
 
2.4%
T 20
 
1.9%
Other values (22) 136
12.6%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅰ 1
50.0%

해제일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing770
Missing (%)100.0%
Memory size6.9 KiB

Unnamed: 32
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing770
Missing (%)100.0%
Memory size6.9 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)비상시설위치시설구분명시설명건물명해제일자Unnamed: 32
01민방위급수시설11_46_01_P34000003400000-E20110000120110101<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>500<NA>부산광역시 기장군 철마면 5번지부산광역시 기장군 철마면 여락송정로 363 (S&T모티브)46002S&T모티브20200617095525U2020-06-19 02:40:00.0<NA>394117.140329202470.987244부산광역시 기장군 철마면 5번지민간시설S&T모티브<NA><NA>
12민방위급수시설11_46_01_P34000003400000-E19970000619971228<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>100<NA>부산광역시 기장군 장안읍 425번지부산광역시 기장군 장안읍 장안고길 8-16 (부산장안고등학교)46029장안고등학교20200519092819U2020-05-21 02:40:00.0<NA>403406.765135204753.938032부산광역시 기장군 장안읍 425번지정부지원시설장안고등학교<NA><NA>
23민방위급수시설11_46_01_P34000003400000-E19970000519970211<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>130<NA>부산광역시 기장군 기장읍 149번지 2호부산광역시 기장군 기장읍 차성동로5번길 10 (기장읍사무소)46070기장읍사무소20200519092755U2020-05-21 02:40:00.0<NA>401641.760767195505.115573부산광역시 기장군 기장읍 149번지 2호정부지원시설기장읍사무소<NA><NA>
34민방위급수시설11_46_01_P34000003400000-E20080000220081013<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>160<NA>부산광역시 기장군 정관읍 926번지부산광역시 기장군 정관읍 농공길 89-2 (골든블루)46020(주)골든블루20161202155240I2018-08-31 23:59:59.0<NA>400079.97001205514.854454부산광역시 기장군 정관읍 926번지민간시설(주)골든블루<NA><NA>
45민방위급수시설11_46_01_P34000003400000-E20080000120081013<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>500<NA>부산광역시 기장군 일광면 12번지부산광역시 기장군 일광면 차양길 26 (아시아드CC)46041아시아드컨트리클럽(주)20200519092417U2020-05-21 02:40:00.0<NA>403863.060171200650.504195부산광역시 기장군 일광면 12번지민간시설아시아드컨트리클럽(주)<NA><NA>
56민방위급수시설11_46_01_P34000003400000-E20070000120071201<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>300<NA>부산광역시 기장군 기장읍 151번지 5호부산광역시 기장군 기장읍 차성로344번길 13 (한신아파트)46062한신그린코아20161202155155I2018-08-31 23:59:59.0<NA>401459.744804196651.834715부산광역시 기장군 기장읍 151번지 5호민간시설한신그린코아<NA><NA>
67민방위급수시설11_46_01_P34000003400000-E20030000120030331<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>100<NA>부산광역시 기장군 정관읍 141번지부산광역시 기장군 정관읍 용수로 4 (정관읍사무소)46013정관읍사무소20200519092922U2020-05-21 02:40:00.0<NA>398264.494907205440.958954부산광역시 기장군 정관읍 141번지정부지원시설정관읍사무소<NA><NA>
78민방위급수시설11_46_01_P34000003400000-E20020000220020208<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>100<NA>부산광역시 기장군 기장읍 428번지부산광역시 기장군 기장읍 차성동로126번길 13-5 (기장도서관)46063동부근린공원20200519092902U2020-05-21 02:40:00.0<NA>401822.409452197049.852461부산광역시 기장군 기장읍 428번지정부지원시설동부근린공원<NA><NA>
89민방위급수시설11_46_01_P34000003400000-E20000000220000310<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>100<NA>부산광역시 기장군 기장읍 1번지부산광역시 기장군 기장읍 기장대로 560 (기장군청)46077기장군청20200519092722U2020-05-21 02:40:00.0<NA>402234.91491196153.688064부산광역시 기장군 기장읍 1번지정부지원시설기장군청<NA><NA>
910민방위급수시설11_46_01_P34000003400000-E19980000219980907<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>100<NA>부산광역시 기장군 기장읍 390번지부산광역시 기장군 기장읍 차성서로 77 (기장고등학교)46068기장고등학교20200519092838U2020-05-21 02:40:00.0<NA>401026.635683195636.138652부산광역시 기장군 기장읍 390번지자치단체자체시설기장고등학교<NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)비상시설위치시설구분명시설명건물명해제일자Unnamed: 32
760761민방위급수시설11_46_01_P32600003260000-E19800000419801220<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>102<NA>부산광역시 서구 토성동4가 2번지 3호부산광역시 서구 구덕로 120 (토성동4가, 서구청)49247서구청비상급수시설20201119143125U2020-11-21 02:40:00.0<NA>384477.310173179485.366805부산광역시 서구 토성동4가 2번지 3호정부지원시설서구청비상급수시설<NA><NA>
761762민방위급수시설11_46_01_P32500003250000-E19770000119771231<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>30<NA>부산광역시 중구 영주동 582번지 2호부산광역시 중구 대영로226번길 15 (봉래초등학교)48922봉래초등학교20190425151540U2019-05-13 02:40:00.0<NA>385550.446053181051.042253부산광역시 중구 영주동 582번지 2호정부지원시설봉래초등학교<NA><NA>
762763민방위급수시설11_46_01_P32500003250000-E20010000220010411<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>50<NA>부산광역시 중구 보수동1가 41번지 1호부산광역시 중구 법수길 72600803대림에이스타운20200119152220U2020-01-21 02:40:00.0<NA>384593.376751180502.719902부산광역시 중구 보수동1가 41번지 1호민간시설대림에이스타운<NA><NA>
763764민방위급수시설11_46_01_P32500003250000-E20010000120010411<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>70<NA>부산광역시 중구 대청동1가 48번지부산광역시 중구 용두산길 9 (대청동1가)600091천주교부산중앙성당20201030100654U2020-11-01 02:40:00.0<NA>385208.188974180002.981177부산광역시 중구 대청동1가 48번지민간시설천주교부산중앙성당<NA><NA>
764765민방위급수시설11_46_01_P32500003250000-E19950000219950322<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>300<NA>부산광역시 중구 부평동1가 30번지 27호부산광역시 중구 중구로29번길 23 (부평동1가)600804부평동주민센터20201029152458U2020-10-31 02:40:00.0<NA>384712.851244179798.59217부산광역시 중구 부평동1가 30번지 27호자치단체자체시설부평동주민센터<NA><NA>
765766민방위급수시설11_46_01_P32500003250000-E19950000119950322<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>120<NA>부산광역시 중구 보수동2가 64번지 1호부산광역시 중구 보수대로124번길 24-2 (보수동2가)600082청소년문화의집20200119152114U2020-01-21 02:40:00.0<NA>384343.646039180387.925412부산광역시 중구 보수동2가 64번지 1호자치단체자체시설청소년문화의집<NA><NA>
766767민방위급수시설11_46_01_P32500003250000-E20010000320010411<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>80<NA>부산광역시 중구 부평동3가 62번지 13호부산광역시 중구 흑교로17번길 7-1 (부평동3가)600809해림목욕탕20201029152431U2020-10-31 02:40:00.0<NA>384506.317968179855.018385부산광역시 중구 부평동3가 62번지 13호민간시설해림목욕탕<NA><NA>
767768민방위급수시설11_46_01_P32500003250000-E19980000119980902<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>300<NA>부산광역시 중구 동광동5가 16번지 11호부산광역시 중구 동광길93번길 5 (동광동5가)600025대동맨션내20190425162220U2019-05-13 02:40:00.0<NA>385386.91067180576.244772부산광역시 중구 동광동5가 16번지 11호정부지원시설대동맨션내<NA><NA>
768769민방위급수시설11_46_01_P32500003250000-E19950000319950412<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>270<NA>부산광역시 중구 보수동1가 95번지 3호부산광역시 중구 흑교로 48 (보수동1가)600802중구방문건강관리센터20200119152141U2020-01-21 02:40:00.0<NA>384598.620585180174.947711부산광역시 중구 보수동1가 95번지 3호자치단체자체시설중구방문건강관리센터<NA><NA>
769770민방위급수시설11_46_01_P32500003250000-E19920000119920314<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>112<NA>부산광역시 중구 보수동2가 75번지 28호부산광역시 중구 보수대로124번길 45 (보수동2가)600082보수동28통내20200728175052U2020-07-30 02:40:00.0<NA>384423.177191180319.365508부산광역시 중구 보수동2가 75번지 28호자치단체자체시설보수동28통내<NA><NA>