Overview

Dataset statistics

Number of variables31
Number of observations754
Missing cells5606
Missing cells (%)24.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory197.5 KiB
Average record size in memory268.2 B

Variable types

Numeric11
Categorical11
Unsupported6
Text3

Dataset

Description2021-06-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123139

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
개방자치단체코드 has constant value ""Constant
최종수정시점 is highly imbalanced (98.5%)Imbalance
데이터갱신구분 is highly imbalanced (98.5%)Imbalance
데이터갱신일자 is highly imbalanced (98.5%)Imbalance
업태구분명 is highly imbalanced (79.3%)Imbalance
거래처 is highly imbalanced (81.6%)Imbalance
인허가취소일자 has 754 (100.0%) missing valuesMissing
폐업일자 has 274 (36.3%) missing valuesMissing
휴업시작일자 has 754 (100.0%) missing valuesMissing
휴업종료일자 has 754 (100.0%) missing valuesMissing
재개업일자 has 754 (100.0%) missing valuesMissing
소재지전화 has 155 (20.6%) missing valuesMissing
소재지면적 has 754 (100.0%) missing valuesMissing
소재지우편번호 has 85 (11.3%) missing valuesMissing
도로명전체주소 has 89 (11.8%) missing valuesMissing
도로명우편번호 has 284 (37.7%) missing valuesMissing
좌표정보(x) has 85 (11.3%) missing valuesMissing
좌표정보(y) has 85 (11.3%) missing valuesMissing
자본금 has 25 (3.3%) missing valuesMissing
Unnamed: 30 has 754 (100.0%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 30 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-21 00:42:51.727785
Analysis finished2024-04-21 00:42:52.761551
Duration1.03 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct754
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean377.5
Minimum1
Maximum754
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2024-04-21T09:42:52.945489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile38.65
Q1189.25
median377.5
Q3565.75
95-th percentile716.35
Maximum754
Range753
Interquartile range (IQR)376.5

Descriptive statistics

Standard deviation217.80534
Coefficient of variation (CV)0.57696779
Kurtosis-1.2
Mean377.5
Median Absolute Deviation (MAD)188.5
Skewness0
Sum284635
Variance47439.167
MonotonicityStrictly increasing
2024-04-21T09:42:53.393597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
508 1
 
0.1%
499 1
 
0.1%
500 1
 
0.1%
501 1
 
0.1%
502 1
 
0.1%
503 1
 
0.1%
504 1
 
0.1%
505 1
 
0.1%
506 1
 
0.1%
Other values (744) 744
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 (%)
754 1
0.1%
753 1
0.1%
752 1
0.1%
751 1
0.1%
750 1
0.1%
749 1
0.1%
748 1
0.1%
747 1
0.1%
746 1
0.1%
745 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
석유및석유대체연료판매업체
754 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
석유및석유대체연료판매업체 754
100.0%

Length

2024-04-21T09:42:53.823968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T09:42:54.135517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
석유및석유대체연료판매업체 754
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
09_28_07_P
754 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row09_28_07_P
2nd row09_28_07_P
3rd row09_28_07_P
4th row09_28_07_P
5th row09_28_07_P

Common Values

ValueCountFrequency (%)
09_28_07_P 754
100.0%

Length

2024-04-21T09:42:54.467870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T09:42:54.783279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_28_07_p 754
100.0%

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
6260000
754 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row6260000
2nd row6260000
3rd row6260000
4th row6260000
5th row6260000

Common Values

ValueCountFrequency (%)
6260000 754
100.0%

Length

2024-04-21T09:42:55.111889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T09:42:55.423143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6260000 754
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct754
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0121698 × 1017
Minimum1.978626 × 1017
Maximum2.021626 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2024-04-21T09:42:55.769387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.978626 × 1017
5-th percentile2.004626 × 1017
Q12.008626 × 1017
median2.011626 × 1017
Q32.015626 × 1017
95-th percentile2.019626 × 1017
Maximum2.021626 × 1017
Range4.3 × 1015
Interquartile range (IQR)7 × 1014

Descriptive statistics

Standard deviation5.3321366 × 1014
Coefficient of variation (CV)0.0026499437
Kurtosis4.8354677
Mean2.0121698 × 1017
Median Absolute Deviation (MAD)4 × 1014
Skewness-0.99062484
Sum4.1436478 × 1018
Variance2.8431681 × 1029
MonotonicityNot monotonic
2024-04-21T09:42:56.208119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
200962600006700001 1
 
0.1%
201462600006500048 1
 
0.1%
201862600006500012 1
 
0.1%
201862600006500013 1
 
0.1%
201462600006500037 1
 
0.1%
201462600006500038 1
 
0.1%
201462600006500044 1
 
0.1%
201462600006500039 1
 
0.1%
201462600006500040 1
 
0.1%
201462600006500042 1
 
0.1%
Other values (744) 744
98.7%
ValueCountFrequency (%)
197862600006500001 1
0.1%
197862600006500002 1
0.1%
197962600006500001 1
0.1%
199562600006500001 1
0.1%
199662600006500001 1
0.1%
199862600006500001 1
0.1%
199962600006500001 1
0.1%
199962600006500002 1
0.1%
200062600006500001 1
0.1%
200062600006500002 1
0.1%
ValueCountFrequency (%)
202162600006500007 1
0.1%
202162600006500006 1
0.1%
202162600006500005 1
0.1%
202162600006500004 1
0.1%
202162600006500003 1
0.1%
202162600006500002 1
0.1%
202162600006500001 1
0.1%
202062600006600001 1
0.1%
202062600006500027 1
0.1%
202062600006500026 1
0.1%

인허가일자
Real number (ℝ)

Distinct625
Distinct (%)82.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20114737
Minimum19780719
Maximum20210401
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2024-04-21T09:42:56.635375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19780719
5-th percentile20040247
Q120080521
median20111218
Q320151122
95-th percentile20191159
Maximum20210401
Range429682
Interquartile range (IQR)70601.25

Descriptive statistics

Standard deviation56963.435
Coefficient of variation (CV)0.0028319254
Kurtosis6.4663372
Mean20114737
Median Absolute Deviation (MAD)39253.5
Skewness-1.3922897
Sum1.5166512 × 1010
Variance3.244833 × 109
MonotonicityNot monotonic
2024-04-21T09:42:57.071543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20110328 6
 
0.8%
19780719 4
 
0.5%
20090624 4
 
0.5%
20070911 4
 
0.5%
20061101 3
 
0.4%
20120925 3
 
0.4%
20080521 3
 
0.4%
20170417 3
 
0.4%
20130108 3
 
0.4%
20111019 3
 
0.4%
Other values (615) 718
95.2%
ValueCountFrequency (%)
19780719 4
0.5%
19790905 1
 
0.1%
19890429 1
 
0.1%
19950831 1
 
0.1%
19960206 1
 
0.1%
19981001 1
 
0.1%
19990816 1
 
0.1%
19991211 1
 
0.1%
19991230 1
 
0.1%
20000119 1
 
0.1%
ValueCountFrequency (%)
20210401 1
0.1%
20210317 1
0.1%
20210310 1
0.1%
20210304 1
0.1%
20210129 1
0.1%
20210122 1
0.1%
20210112 1
0.1%
20201214 1
0.1%
20201126 1
0.1%
20201125 1
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing754
Missing (%)100.0%
Memory size6.8 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
3
497 
1
168 
4
86 
2
 
3

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 (%)
3 497
65.9%
1 168
 
22.3%
4 86
 
11.4%
2 3
 
0.4%

Length

2024-04-21T09:42:57.486972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T09:42:57.813708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 497
65.9%
1 168
 
22.3%
4 86
 
11.4%
2 3
 
0.4%

영업상태명
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
폐업
497 
영업/정상
168 
취소/말소/만료/정지/중지
86 
휴업
 
3

Length

Max length14
Median length2
Mean length4.0371353
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 497
65.9%
영업/정상 168
 
22.3%
취소/말소/만료/정지/중지 86
 
11.4%
휴업 3
 
0.4%

Length

2024-04-21T09:42:58.411479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T09:42:58.753140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 497
65.9%
영업/정상 168
 
22.3%
취소/말소/만료/정지/중지 86
 
11.4%
휴업 3
 
0.4%

상세영업상태코드
Real number (ℝ)

Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.6007958
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2024-04-21T09:42:59.054752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q33
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.7212212
Coefficient of variation (CV)0.47801133
Kurtosis0.1835022
Mean3.6007958
Median Absolute Deviation (MAD)0
Skewness1.2567035
Sum2715
Variance2.9626023
MonotonicityIncreasing
2024-04-21T09:42:59.380019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 497
65.9%
7 144
 
19.1%
2 86
 
11.4%
1 23
 
3.1%
5 3
 
0.4%
6 1
 
0.1%
ValueCountFrequency (%)
1 23
 
3.1%
2 86
 
11.4%
3 497
65.9%
5 3
 
0.4%
6 1
 
0.1%
7 144
 
19.1%
ValueCountFrequency (%)
7 144
 
19.1%
6 1
 
0.1%
5 3
 
0.4%
3 497
65.9%
2 86
 
11.4%
1 23
 
3.1%

상세영업상태명
Categorical

Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
폐지
497 
영업개시
144 
등록취소
86 
신규
 
23
사업휴지
 
3

Length

Max length6
Median length2
Mean length2.6233422
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐지 497
65.9%
영업개시 144
 
19.1%
등록취소 86
 
11.4%
신규 23
 
3.1%
사업휴지 3
 
0.4%
휴지사업재개 1
 
0.1%

Length

2024-04-21T09:42:59.801909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T09:43:00.165443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐지 497
65.9%
영업개시 144
 
19.1%
등록취소 86
 
11.4%
신규 23
 
3.1%
사업휴지 3
 
0.4%
휴지사업재개 1
 
0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct417
Distinct (%)86.9%
Missing274
Missing (%)36.3%
Infinite0
Infinite (%)0.0%
Mean20122756
Minimum20000613
Maximum20201126
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2024-04-21T09:43:00.400526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20000613
5-th percentile20070719
Q120091223
median20120502
Q320150424
95-th percentile20180608
Maximum20201126
Range200513
Interquartile range (IQR)59200.75

Descriptive statistics

Standard deviation35385.543
Coefficient of variation (CV)0.0017584839
Kurtosis-0.37905802
Mean20122756
Median Absolute Deviation (MAD)29429.5
Skewness0.068514908
Sum9.6589229 × 109
Variance1.2521367 × 109
MonotonicityNot monotonic
2024-04-21T09:43:00.677328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20130107 3
 
0.4%
20111227 3
 
0.4%
20120131 3
 
0.4%
20120710 3
 
0.4%
20071107 3
 
0.4%
20121203 3
 
0.4%
20121113 2
 
0.3%
20070706 2
 
0.3%
20070201 2
 
0.3%
20110530 2
 
0.3%
Other values (407) 454
60.2%
(Missing) 274
36.3%
ValueCountFrequency (%)
20000613 1
0.1%
20020726 1
0.1%
20020805 1
0.1%
20021211 1
0.1%
20050428 1
0.1%
20061031 1
0.1%
20061205 1
0.1%
20070112 1
0.1%
20070123 1
0.1%
20070126 1
0.1%
ValueCountFrequency (%)
20201126 1
0.1%
20200826 2
0.3%
20191120 1
0.1%
20191029 1
0.1%
20191028 1
0.1%
20191025 1
0.1%
20190725 1
0.1%
20190722 1
0.1%
20190524 1
0.1%
20190328 1
0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing754
Missing (%)100.0%
Memory size6.8 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing754
Missing (%)100.0%
Memory size6.8 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing754
Missing (%)100.0%
Memory size6.8 KiB

소재지전화
Real number (ℝ)

MISSING 

Distinct525
Distinct (%)87.6%
Missing155
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean6.487597 × 108
Minimum25229792
Maximum7.0883601 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2024-04-21T09:43:00.945802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum25229792
5-th percentile5.1231609 × 108
Q15.1312301 × 108
median5.1462515 × 108
Q35.1515853 × 108
95-th percentile5.1924262 × 108
Maximum7.0883601 × 109
Range7.0631303 × 109
Interquartile range (IQR)2035527

Descriptive statistics

Standard deviation9.3836757 × 108
Coefficient of variation (CV)1.4464024
Kurtosis42.119129
Mean6.487597 × 108
Median Absolute Deviation (MAD)1300147
Skewness6.6078561
Sum3.8860706 × 1011
Variance8.805337 × 1017
MonotonicityNot monotonic
2024-04-21T09:43:01.203271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
512426180 4
 
0.5%
512432678 4
 
0.5%
517961041 4
 
0.5%
517143299 3
 
0.4%
514185757 3
 
0.4%
515218200 3
 
0.4%
514645249 3
 
0.4%
512446681 3
 
0.4%
512440177 3
 
0.4%
514035678 3
 
0.4%
Other values (515) 566
75.1%
(Missing) 155
 
20.6%
ValueCountFrequency (%)
25229792 1
0.1%
25651328 1
0.1%
25751355 1
0.1%
27225189 1
0.1%
27845061 1
0.1%
29545400 1
0.1%
512001101 1
0.1%
512021663 1
0.1%
512030610 1
0.1%
512035127 1
0.1%
ValueCountFrequency (%)
7088360114 1
0.1%
7088333251 1
0.1%
7086384884 2
0.3%
7076700032 1
0.1%
7074305183 1
0.1%
7049014335 1
0.1%
7042062450 1
0.1%
7041517007 1
0.1%
7041401424 1
0.1%
7041225560 1
0.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing754
Missing (%)100.0%
Memory size6.8 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct283
Distinct (%)42.3%
Missing85
Missing (%)11.3%
Infinite0
Infinite (%)0.0%
Mean480806.74
Minimum4698
Maximum619906
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2024-04-21T09:43:01.461087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4698
5-th percentile48361
Q1600013
median601837
Q3608804
95-th percentile617809
Maximum619906
Range615208
Interquartile range (IQR)8791

Descriptive statistics

Standard deviation233246.32
Coefficient of variation (CV)0.4851145
Kurtosis-0.24262386
Mean480806.74
Median Absolute Deviation (MAD)5183
Skewness-1.3241482
Sum3.2165971 × 108
Variance5.4403846 × 1010
MonotonicityNot monotonic
2024-04-21T09:43:01.707716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
601839 31
 
4.1%
600022 20
 
2.7%
601837 20
 
2.7%
600814 20
 
2.7%
600816 19
 
2.5%
601838 18
 
2.4%
600012 14
 
1.9%
602011 12
 
1.6%
617721 10
 
1.3%
617814 9
 
1.2%
Other values (273) 496
65.8%
(Missing) 85
 
11.3%
ValueCountFrequency (%)
4698 1
0.1%
4892 1
0.1%
4897 1
0.1%
6765 1
0.1%
46020 1
0.1%
46273 1
0.1%
46274 1
0.1%
46702 1
0.1%
46721 1
0.1%
46734 1
0.1%
ValueCountFrequency (%)
619906 1
 
0.1%
619902 1
 
0.1%
618820 1
 
0.1%
618815 1
 
0.1%
618814 1
 
0.1%
618330 1
 
0.1%
618280 1
 
0.1%
617843 1
 
0.1%
617841 5
0.7%
617837 1
 
0.1%

소재지전체주소
Text

Distinct715
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
2024-04-21T09:43:03.035610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length39.5
Mean length29.611406
Min length13

Characters and Unicode

Total characters22327
Distinct characters293
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

Unique679 ?
Unique (%)90.1%

Sample

1st row부산광역시 사상구 괘법동 580번지 1호 청마마이우스O/T 409호
2nd row부산광역시 중구 중앙동6가 20번지 29호
3rd row부산광역시 중구 중앙동4가 30-9 501호
4th row부산광역시 해운대구 우1동 627번지 1호
5th row부산광역시 해운대구 우1동 627번지 1호
ValueCountFrequency (%)
부산광역시 749
 
16.7%
중구 225
 
5.0%
동구 167
 
3.7%
중앙동4가 99
 
2.2%
1호 98
 
2.2%
초량동 91
 
2.0%
사상구 63
 
1.4%
서구 52
 
1.2%
2호 47
 
1.0%
4호 35
 
0.8%
Other values (1142) 2855
63.7%
2024-04-21T09:43:04.645376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4309
19.3%
1 1204
 
5.4%
동 1078
 
4.8%
호 918
 
4.1%
부 854
 
3.8%
산 846
 
3.8%
광 793
 
3.6%
구 773
 
3.5%
시 765
 
3.4%
역 753
 
3.4%
Other values (283) 10034
44.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12909
57.8%
Decimal Number 4898
 
21.9%
Space Separator 4309
 
19.3%
Dash Punctuation 145
 
0.6%
Uppercase Letter 26
 
0.1%
Close Punctuation 15
 
0.1%
Open Punctuation 14
 
0.1%
Other Punctuation 10
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1078
 
8.4%
호 918
 
7.1%
부 854
 
6.6%
산 846
 
6.6%
광 793
 
6.1%
구 773
 
6.0%
시 765
 
5.9%
역 753
 
5.8%
지 639
 
5.0%
번 614
 
4.8%
Other values (250) 4876
37.8%
Uppercase Letter
ValueCountFrequency (%)
B 7
26.9%
C 3
11.5%
T 3
11.5%
M 2
 
7.7%
O 2
 
7.7%
A 2
 
7.7%
R 1
 
3.8%
K 1
 
3.8%
Y 1
 
3.8%
P 1
 
3.8%
Other values (3) 3
11.5%
Decimal Number
ValueCountFrequency (%)
1 1204
24.6%
2 684
14.0%
0 630
12.9%
3 505
10.3%
4 485
9.9%
5 374
 
7.6%
6 328
 
6.7%
8 253
 
5.2%
7 246
 
5.0%
9 189
 
3.9%
Other Punctuation
ValueCountFrequency (%)
, 5
50.0%
/ 2
 
20.0%
& 1
 
10.0%
; 1
 
10.0%
# 1
 
10.0%
Space Separator
ValueCountFrequency (%)
4309
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 145
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12909
57.8%
Common 9391
42.1%
Latin 27
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1078
 
8.4%
호 918
 
7.1%
부 854
 
6.6%
산 846
 
6.6%
광 793
 
6.1%
구 773
 
6.0%
시 765
 
5.9%
역 753
 
5.8%
지 639
 
5.0%
번 614
 
4.8%
Other values (250) 4876
37.8%
Common
ValueCountFrequency (%)
4309
45.9%
1 1204
 
12.8%
2 684
 
7.3%
0 630
 
6.7%
3 505
 
5.4%
4 485
 
5.2%
5 374
 
4.0%
6 328
 
3.5%
8 253
 
2.7%
7 246
 
2.6%
Other values (9) 373
 
4.0%
Latin
ValueCountFrequency (%)
B 7
25.9%
C 3
11.1%
T 3
11.1%
M 2
 
7.4%
O 2
 
7.4%
A 2
 
7.4%
R 1
 
3.7%
K 1
 
3.7%
Y 1
 
3.7%
P 1
 
3.7%
Other values (4) 4
14.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12909
57.8%
ASCII 9418
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4309
45.8%
1 1204
 
12.8%
2 684
 
7.3%
0 630
 
6.7%
3 505
 
5.4%
4 485
 
5.1%
5 374
 
4.0%
6 328
 
3.5%
8 253
 
2.7%
7 246
 
2.6%
Other values (23) 400
 
4.2%
Hangul
ValueCountFrequency (%)
동 1078
 
8.4%
호 918
 
7.1%
부 854
 
6.6%
산 846
 
6.6%
광 793
 
6.1%
구 773
 
6.0%
시 765
 
5.9%
역 753
 
5.8%
지 639
 
5.0%
번 614
 
4.8%
Other values (250) 4876
37.8%

도로명전체주소
Text

MISSING 

Distinct620
Distinct (%)93.2%
Missing89
Missing (%)11.8%
Memory size6.0 KiB
2024-04-21T09:43:05.867488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length44
Mean length34.518797
Min length21

Characters and Unicode

Total characters22955
Distinct characters321
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

Unique580 ?
Unique (%)87.2%

Sample

1st row부산광역시 사상구 광장로56번길 67, 409호 (괘법동,청마마이우스O/T)
2nd row부산광역시 중구 중앙대로 37, 3층 (중앙동6가)
3rd row부산광역시 중구 해관로 64, 5층 501호 (중앙동4가)
4th row부산광역시 해운대구 해운대해변로 257 (우동)
5th row부산광역시 해운대구 해운대해변로 257 (우동)
ValueCountFrequency (%)
부산광역시 663
 
16.7%
중구 207
 
5.2%
동구 144
 
3.6%
중앙대로 71
 
1.8%
서구 48
 
1.2%
사상구 45
 
1.1%
초량동 44
 
1.1%
중앙동4가 39
 
1.0%
중앙대로180번길 36
 
0.9%
영도구 29
 
0.7%
Other values (1128) 2642
66.6%
2024-04-21T09:43:07.448881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3303
 
14.4%
동 972
 
4.2%
1 838
 
3.7%
, 821
 
3.6%
부 762
 
3.3%
산 752
 
3.3%
광 737
 
3.2%
구 698
 
3.0%
시 688
 
3.0%
) 676
 
2.9%
Other values (311) 12708
55.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13161
57.3%
Decimal Number 4121
 
18.0%
Space Separator 3303
 
14.4%
Other Punctuation 826
 
3.6%
Close Punctuation 676
 
2.9%
Open Punctuation 675
 
2.9%
Dash Punctuation 154
 
0.7%
Uppercase Letter 38
 
0.2%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 972
 
7.4%
부 762
 
5.8%
산 752
 
5.7%
광 737
 
5.6%
구 698
 
5.3%
시 688
 
5.2%
역 667
 
5.1%
로 655
 
5.0%
중 575
 
4.4%
대 466
 
3.5%
Other values (277) 6189
47.0%
Uppercase Letter
ValueCountFrequency (%)
B 7
18.4%
C 6
15.8%
A 5
13.2%
P 4
10.5%
T 3
7.9%
E 3
7.9%
O 2
 
5.3%
M 2
 
5.3%
I 1
 
2.6%
R 1
 
2.6%
Other values (4) 4
10.5%
Decimal Number
ValueCountFrequency (%)
1 838
20.3%
2 586
14.2%
0 556
13.5%
3 462
11.2%
4 343
8.3%
6 327
 
7.9%
5 309
 
7.5%
8 246
 
6.0%
9 233
 
5.7%
7 221
 
5.4%
Other Punctuation
ValueCountFrequency (%)
, 821
99.4%
/ 2
 
0.2%
& 1
 
0.1%
# 1
 
0.1%
; 1
 
0.1%
Space Separator
ValueCountFrequency (%)
3303
100.0%
Close Punctuation
ValueCountFrequency (%)
) 676
100.0%
Open Punctuation
ValueCountFrequency (%)
( 675
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 154
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13161
57.3%
Common 9755
42.5%
Latin 39
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 972
 
7.4%
부 762
 
5.8%
산 752
 
5.7%
광 737
 
5.6%
구 698
 
5.3%
시 688
 
5.2%
역 667
 
5.1%
로 655
 
5.0%
중 575
 
4.4%
대 466
 
3.5%
Other values (277) 6189
47.0%
Common
ValueCountFrequency (%)
3303
33.9%
1 838
 
8.6%
, 821
 
8.4%
) 676
 
6.9%
( 675
 
6.9%
2 586
 
6.0%
0 556
 
5.7%
3 462
 
4.7%
4 343
 
3.5%
6 327
 
3.4%
Other values (9) 1168
 
12.0%
Latin
ValueCountFrequency (%)
B 7
17.9%
C 6
15.4%
A 5
12.8%
P 4
10.3%
T 3
7.7%
E 3
7.7%
O 2
 
5.1%
M 2
 
5.1%
I 1
 
2.6%
R 1
 
2.6%
Other values (5) 5
12.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13161
57.3%
ASCII 9794
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3303
33.7%
1 838
 
8.6%
, 821
 
8.4%
) 676
 
6.9%
( 675
 
6.9%
2 586
 
6.0%
0 556
 
5.7%
3 462
 
4.7%
4 343
 
3.5%
6 327
 
3.3%
Other values (24) 1207
 
12.3%
Hangul
ValueCountFrequency (%)
동 972
 
7.4%
부 762
 
5.8%
산 752
 
5.7%
광 737
 
5.6%
구 698
 
5.3%
시 688
 
5.2%
역 667
 
5.1%
로 655
 
5.0%
중 575
 
4.4%
대 466
 
3.5%
Other values (277) 6189
47.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct231
Distinct (%)49.1%
Missing284
Missing (%)37.7%
Infinite0
Infinite (%)0.0%
Mean326248.7
Minimum4672
Maximum619906
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2024-04-21T09:43:07.803631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4672
5-th percentile46735
Q148821
median324732.5
Q3601839
95-th percentile617721
Maximum619906
Range615234
Interquartile range (IQR)553018

Descriptive statistics

Standard deviation279574.77
Coefficient of variation (CV)0.85693759
Kurtosis-2.0057969
Mean326248.7
Median Absolute Deviation (MAD)276083.5
Skewness-0.00047861906
Sum1.5333689 × 108
Variance7.8162054 × 1010
MonotonicityNot monotonic
2024-04-21T09:43:08.160448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48733 14
 
1.9%
48821 12
 
1.6%
600814 11
 
1.5%
601839 11
 
1.5%
601837 11
 
1.5%
601838 11
 
1.5%
600022 10
 
1.3%
48955 9
 
1.2%
48941 9
 
1.2%
600816 9
 
1.2%
Other values (221) 363
48.1%
(Missing) 284
37.7%
ValueCountFrequency (%)
4672 1
0.1%
4678 1
0.1%
4698 1
0.1%
4892 1
0.1%
4897 1
0.1%
4921 1
0.1%
6765 1
0.1%
13937 1
0.1%
46020 1
0.1%
46234 1
0.1%
ValueCountFrequency (%)
619906 1
0.1%
618820 1
0.1%
618814 1
0.1%
618280 1
0.1%
617843 1
0.1%
617841 2
0.3%
617833 1
0.1%
617814 2
0.3%
617812 1
0.1%
617810 2
0.3%

사업장명
Text

Distinct702
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
2024-04-21T09:43:09.138808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length14
Mean length7.5106101
Min length2

Characters and Unicode

Total characters5663
Distinct characters282
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique653 ?
Unique (%)86.6%

Sample

1st row반야케미칼(주)
2nd row(주)두리에너지
3rd row(주)동특해상급유
4th row(주)포세이돈코리아
5th row(주)포세이돈코리아
ValueCountFrequency (%)
주식회사 21
 
2.7%
플러스판매(주 3
 
0.4%
대성씨그린(주 3
 
0.4%
주)명성에너지 3
 
0.4%
주)동원에르나 2
 
0.3%
주)아라에너지 2
 
0.3%
주)태흥마린 2
 
0.3%
주)태륭에너지 2
 
0.3%
주)세웅기업 2
 
0.3%
주)남진유업 2
 
0.3%
Other values (700) 740
94.6%
2024-04-21T09:43:10.233437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 696
 
12.3%
) 672
 
11.9%
( 669
 
11.8%
에 267
 
4.7%
지 239
 
4.2%
너 211
 
3.7%
유 135
 
2.4%
이 108
 
1.9%
린 101
 
1.8%
마 95
 
1.7%
Other values (272) 2470
43.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4236
74.8%
Close Punctuation 673
 
11.9%
Open Punctuation 670
 
11.8%
Other Symbol 35
 
0.6%
Space Separator 28
 
0.5%
Lowercase Letter 8
 
0.1%
Uppercase Letter 6
 
0.1%
Other Punctuation 5
 
0.1%
Decimal Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 696
 
16.4%
에 267
 
6.3%
지 239
 
5.6%
너 211
 
5.0%
유 135
 
3.2%
이 108
 
2.5%
린 101
 
2.4%
마 95
 
2.2%
해 95
 
2.2%
업 83
 
2.0%
Other values (251) 2206
52.1%
Lowercase Letter
ValueCountFrequency (%)
e 2
25.0%
a 2
25.0%
l 1
12.5%
d 1
12.5%
t 1
12.5%
n 1
12.5%
Uppercase Letter
ValueCountFrequency (%)
M 1
16.7%
P 1
16.7%
O 1
16.7%
C 1
16.7%
L 1
16.7%
S 1
16.7%
Close Punctuation
ValueCountFrequency (%)
) 672
99.9%
] 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 669
99.9%
[ 1
 
0.1%
Other Punctuation
ValueCountFrequency (%)
. 4
80.0%
, 1
 
20.0%
Other Symbol
ValueCountFrequency (%)
㈜ 35
100.0%
Space Separator
ValueCountFrequency (%)
28
100.0%
Decimal Number
ValueCountFrequency (%)
1 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4271
75.4%
Common 1378
 
24.3%
Latin 14
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 696
 
16.3%
에 267
 
6.3%
지 239
 
5.6%
너 211
 
4.9%
유 135
 
3.2%
이 108
 
2.5%
린 101
 
2.4%
마 95
 
2.2%
해 95
 
2.2%
업 83
 
1.9%
Other values (252) 2241
52.5%
Latin
ValueCountFrequency (%)
e 2
14.3%
a 2
14.3%
M 1
7.1%
P 1
7.1%
O 1
7.1%
C 1
7.1%
l 1
7.1%
d 1
7.1%
t 1
7.1%
L 1
7.1%
Other values (2) 2
14.3%
Common
ValueCountFrequency (%)
) 672
48.8%
( 669
48.5%
28
 
2.0%
. 4
 
0.3%
1 2
 
0.1%
[ 1
 
0.1%
] 1
 
0.1%
, 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4236
74.8%
ASCII 1392
 
24.6%
None 35
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 696
 
16.4%
에 267
 
6.3%
지 239
 
5.6%
너 211
 
5.0%
유 135
 
3.2%
이 108
 
2.5%
린 101
 
2.4%
마 95
 
2.2%
해 95
 
2.2%
업 83
 
2.0%
Other values (251) 2206
52.1%
ASCII
ValueCountFrequency (%)
) 672
48.3%
( 669
48.1%
28
 
2.0%
. 4
 
0.3%
e 2
 
0.1%
a 2
 
0.1%
1 2
 
0.1%
M 1
 
0.1%
P 1
 
0.1%
O 1
 
0.1%
Other values (10) 10
 
0.7%
None
ValueCountFrequency (%)
㈜ 35
100.0%

최종수정시점
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
20210424193510
753 
20191230193504
 
1

Length

Max length14
Median length14
Mean length14
Min length14

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row20210424193510
2nd row20210424193510
3rd row20210424193510
4th row20210424193510
5th row20210424193510

Common Values

ValueCountFrequency (%)
20210424193510 753
99.9%
20191230193504 1
 
0.1%

Length

2024-04-21T09:43:10.457638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T09:43:10.634268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20210424193510 753
99.9%
20191230193504 1
 
0.1%

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
U
753 
I
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
U 753
99.9%
I 1
 
0.1%

Length

2024-04-21T09:43:10.813373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T09:43:10.988459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 753
99.9%
i 1
 
0.1%

데이터갱신일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
2021-04-26 02:40:00.0
753 
2019-12-31 00:23:26.0
 
1

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row2021-04-26 02:40:00.0
2nd row2021-04-26 02:40:00.0
3rd row2021-04-26 02:40:00.0
4th row2021-04-26 02:40:00.0
5th row2021-04-26 02:40:00.0

Common Values

ValueCountFrequency (%)
2021-04-26 02:40:00.0 753
99.9%
2019-12-31 00:23:26.0 1
 
0.1%

Length

2024-04-21T09:43:11.163832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T09:43:11.338980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-04-26 753
49.9%
02:40:00.0 753
49.9%
2019-12-31 1
 
0.1%
00:23:26.0 1
 
0.1%

업태구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
일반대리점
706 
부생연료판매소
 
25
용제대리점
 
22
석유대체연료판매업(대리점)
 
1

Length

Max length14
Median length5
Mean length5.0782493
Min length5

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row부생연료판매소
2nd row일반대리점
3rd row일반대리점
4th row일반대리점
5th row일반대리점

Common Values

ValueCountFrequency (%)
일반대리점 706
93.6%
부생연료판매소 25
 
3.3%
용제대리점 22
 
2.9%
석유대체연료판매업(대리점) 1
 
0.1%

Length

2024-04-21T09:43:11.521761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T09:43:11.712394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반대리점 706
93.6%
부생연료판매소 25
 
3.3%
용제대리점 22
 
2.9%
석유대체연료판매업(대리점 1
 
0.1%

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct427
Distinct (%)63.8%
Missing85
Missing (%)11.3%
Infinite0
Infinite (%)0.0%
Mean385443.99
Minimum196248.09
Maximum401670.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2024-04-21T09:43:11.972187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum196248.09
5-th percentile380266.67
Q1384953
median385724.32
Q3386480.44
95-th percentile392600.01
Maximum401670.85
Range205422.77
Interquartile range (IQR)1527.4348

Descriptive statistics

Standard deviation10961.136
Coefficient of variation (CV)0.028437689
Kurtosis250.50548
Mean385443.99
Median Absolute Deviation (MAD)756.1192
Skewness-14.787863
Sum2.5786203 × 108
Variance1.2014651 × 108
MonotonicityNot monotonic
2024-04-21T09:43:12.284559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
385956.31866986 13
 
1.7%
385630.742187332 13
 
1.7%
385473.117196105 12
 
1.6%
385561.650139456 8
 
1.1%
385514.844564816 8
 
1.1%
384249.201710589 8
 
1.1%
380482.767624189 6
 
0.8%
385915.728599376 6
 
0.8%
386068.288562816 6
 
0.8%
386089.420913756 6
 
0.8%
Other values (417) 583
77.3%
(Missing) 85
 
11.3%
ValueCountFrequency (%)
196248.086249299 1
 
0.1%
201683.098682684 1
 
0.1%
365815.351657 1
 
0.1%
367475.185418626 1
 
0.1%
368412.365612023 1
 
0.1%
370182.889639165 1
 
0.1%
371577.30024544 3
0.4%
372004.045864421 1
 
0.1%
373006.154295793 1
 
0.1%
374006.494845038 1
 
0.1%
ValueCountFrequency (%)
401670.854524671 1
 
0.1%
400669.0 1
 
0.1%
400176.321792 1
 
0.1%
399031.076638 1
 
0.1%
398020.85124 1
 
0.1%
397827.333791435 1
 
0.1%
396697.860724865 3
0.4%
396180.621244719 4
0.5%
395299.782633344 2
0.3%
394281.820811547 1
 
0.1%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct427
Distinct (%)63.8%
Missing85
Missing (%)11.3%
Infinite0
Infinite (%)0.0%
Mean183838.53
Minimum176014.23
Maximum440311.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2024-04-21T09:43:12.533953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum176014.23
5-th percentile178871.9
Q1180152.74
median181231.06
Q3185326.84
95-th percentile193110.63
Maximum440311.82
Range264297.59
Interquartile range (IQR)5174.1047

Descriptive statistics

Standard deviation14615.947
Coefficient of variation (CV)0.079504263
Kurtosis269.1169
Mean183838.53
Median Absolute Deviation (MAD)1364.9935
Skewness15.642385
Sum1.2298798 × 108
Variance2.136259 × 108
MonotonicityNot monotonic
2024-04-21T09:43:13.009136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
181231.059906128 13
 
1.7%
180306.821082315 13
 
1.7%
179880.976912079 12
 
1.6%
180152.738082365 8
 
1.1%
179798.854865759 8
 
1.1%
180080.172971726 8
 
1.1%
185582.274947583 6
 
0.8%
181331.73642571 6
 
0.8%
181716.688690821 6
 
0.8%
181731.617240491 6
 
0.8%
Other values (417) 583
77.3%
(Missing) 85
 
11.3%
ValueCountFrequency (%)
176014.233228622 1
0.1%
176053.812659927 1
0.1%
176274.901317494 1
0.1%
176671.385737941 1
0.1%
176694.387664534 2
0.3%
176739.117538016 1
0.1%
176951.699573677 2
0.3%
177006.174171524 1
0.1%
177154.933523472 1
0.1%
177165.36117383 1
0.1%
ValueCountFrequency (%)
440311.824951753 1
0.1%
433633.415412822 1
0.1%
205886.479717 1
0.1%
205503.855855 1
0.1%
199001.043230417 1
0.1%
198719.850171239 1
0.1%
198262.433083288 1
0.1%
198069.527451455 1
0.1%
198055.817009701 1
0.1%
197931.667596638 2
0.3%

자본금
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)4.7%
Missing25
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean1.5639827 × 108
Minimum50000000
Maximum4.95 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2024-04-21T09:43:13.240474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50000000
5-th percentile1 × 108
Q11 × 108
median1 × 108
Q31 × 108
95-th percentile3 × 108
Maximum4.95 × 109
Range4.9 × 109
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.4255506 × 108
Coefficient of variation (CV)2.1902739
Kurtosis110.36757
Mean1.5639827 × 108
Median Absolute Deviation (MAD)0
Skewness9.8105914
Sum1.1401434 × 1011
Variance1.1734397 × 1017
MonotonicityNot monotonic
2024-04-21T09:43:13.473240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
100000000 634
84.1%
50000000 18
 
2.4%
200000000 16
 
2.1%
300000000 11
 
1.5%
500000000 8
 
1.1%
150000000 4
 
0.5%
950000000 3
 
0.4%
1000000000 3
 
0.4%
400000000 3
 
0.4%
999000000 2
 
0.3%
Other values (24) 27
 
3.6%
(Missing) 25
 
3.3%
ValueCountFrequency (%)
50000000 18
 
2.4%
50107000 1
 
0.1%
100000000 634
84.1%
103040000 1
 
0.1%
105000000 1
 
0.1%
110000000 2
 
0.3%
113700000 1
 
0.1%
120000000 1
 
0.1%
140000000 1
 
0.1%
150000000 4
 
0.5%
ValueCountFrequency (%)
4950000000 1
 
0.1%
4213514000 1
 
0.1%
3640000000 1
 
0.1%
3500000000 1
 
0.1%
2618979350 1
 
0.1%
2000000000 1
 
0.1%
1300000000 2
0.3%
1000000000 3
0.4%
999000000 2
0.3%
950000000 3
0.4%

거래처
Categorical

IMBALANCE 

Distinct25
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
기타
673 
SK
 
24
현대
 
19
GS칼텍스
 
10
S-Oil
 
4
Other values (20)
 
24

Length

Max length14
Median length2
Mean length2.1816976
Min length2

Unique

Unique16 ?
Unique (%)2.1%

Sample

1st row수입
2nd row기타
3rd row기타
4th row기타
5th row기타

Common Values

ValueCountFrequency (%)
기타 673
89.3%
SK 24
 
3.2%
현대 19
 
2.5%
GS칼텍스 10
 
1.3%
S-Oil 4
 
0.5%
미정 2
 
0.3%
SK가스 2
 
0.3%
삼성종합화학(주) 2
 
0.3%
일반 2
 
0.3%
화공약품회사 1
 
0.1%
Other values (15) 15
 
2.0%

Length

2024-04-21T09:43:13.717083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기타 673
88.9%
sk 25
 
3.3%
현대 19
 
2.5%
gs칼텍스 10
 
1.3%
s-oil 4
 
0.5%
삼성종합화학(주 2
 
0.3%
일반 2
 
0.3%
sk가스 2
 
0.3%
미정 2
 
0.3%
주)포세이돈 1
 
0.1%
Other values (17) 17
 
2.2%

Unnamed: 30
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing754
Missing (%)100.0%
Memory size6.8 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)자본금거래처Unnamed: 30
01석유및석유대체연료판매업체09_28_07_P626000020096260000670000120090120<NA>1영업/정상1신규<NA><NA><NA><NA>513112326<NA>617809부산광역시 사상구 괘법동 580번지 1호 청마마이우스O/T 409호부산광역시 사상구 광장로56번길 67, 409호 (괘법동,청마마이우스O/T)617809반야케미칼(주)20210424193510U2021-04-26 02:40:00.0부생연료판매소380533.84609186250.314617<NA>수입<NA>
12석유및석유대체연료판매업체09_28_07_P626000020126260000650000920120207<NA>1영업/정상1신규<NA><NA><NA><NA><NA><NA>600016부산광역시 중구 중앙동6가 20번지 29호부산광역시 중구 중앙대로 37, 3층 (중앙동6가)600016(주)두리에너지20210424193510U2021-04-26 02:40:00.0일반대리점385599.322545179877.201347100000000기타<NA>
23석유및석유대체연료판매업체09_28_07_P626000020196260000650001020190306<NA>1영업/정상1신규<NA><NA><NA><NA>514426702<NA>48929부산광역시 중구 중앙동4가 30-9 501호부산광역시 중구 해관로 64, 5층 501호 (중앙동4가)48929(주)동특해상급유20210424193510U2021-04-26 02:40:00.0일반대리점385539.972541180278.841231100000000기타<NA>
34석유및석유대체연료판매업체09_28_07_P626000020116260000650000920110328<NA>1영업/정상1신규<NA><NA><NA><NA>517425678<NA>612821부산광역시 해운대구 우1동 627번지 1호부산광역시 해운대구 해운대해변로 257 (우동)<NA>(주)포세이돈코리아20210424193510U2021-04-26 02:40:00.0일반대리점396697.860725186636.589265100000000기타<NA>
45석유및석유대체연료판매업체09_28_07_P626000020116260000650001020110328<NA>1영업/정상1신규<NA><NA><NA><NA>517425678<NA>612821부산광역시 해운대구 우1동 627번지 1호부산광역시 해운대구 해운대해변로 257 (우동)<NA>(주)포세이돈코리아20210424193510U2021-04-26 02:40:00.0일반대리점396697.860725186636.589265100000000기타<NA>
56석유및석유대체연료판매업체09_28_07_P626000020096260000650001920090624<NA>1영업/정상1신규<NA><NA><NA><NA>514645133<NA>600814부산광역시 중구 중앙동4가 87번지 7호 무역회관빌딩 1001호부산광역시 중구 충장대로 11, 1001호 (중앙동4가,무역회관빌딩)600814해창석유(주)20210424193510U2021-04-26 02:40:00.0일반대리점385722.481135180423.008165100000000SK<NA>
67석유및석유대체연료판매업체09_28_07_P626000020136260000650002820130715<NA>1영업/정상1신규<NA><NA><NA><NA>515532013<NA>607020부산광역시 동래구 복천동 295번지 3호 오성빌라트 202호부산광역시 동래구 동래로148번길 27, 202호 (복천동,오성빌라트)607020(주)대일석유20210424193510U2021-04-26 02:40:00.0일반대리점389825.304736191472.756898100000000기타<NA>
78석유및석유대체연료판매업체09_28_07_P626000020196260000650004720191230<NA>1영업/정상1신규<NA><NA><NA><NA>514421568<NA>48942부산광역시 중구 중앙동6가 72번지 동방빌딩 307호부산광역시 중구 중앙대로 22, 동방빌딩 307호 (중앙동6가)48942백영해운(주)20191230193504I2019-12-31 00:23:26.0일반대리점385663.457516179718.597231100000000기타<NA>
89석유및석유대체연료판매업체09_28_07_P626000020156260000650002020150617<NA>1영업/정상1신규<NA><NA><NA><NA><NA><NA>600815부산광역시 중구 중앙동4가 29번지 8호 , 4층부산광역시 중구 해관로 60-1, 4층 (중앙동4가)600815(주)신광해운20210424193510U2021-04-26 02:40:00.0일반대리점385542.342258180246.4398100000000기타<NA>
910석유및석유대체연료판매업체09_28_07_P626000020156260000650003220151207<NA>1영업/정상1신규<NA><NA><NA><NA>514424448<NA><NA>부산광역시 중구 중앙동4가 24번지 4호 유성빌딩 403호부산광역시 중구 충장대로4번길 8, 403호 (중앙동4가,유성빌딩)48941(주)제이앤케이마린20210424193510U2021-04-26 02:40:00.0일반대리점385641.079757180275.065806100000000기타<NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)자본금거래처Unnamed: 30
744745석유및석유대체연료판매업체09_28_07_P626000020206260000650002320201112<NA>1영업/정상7영업개시<NA><NA><NA><NA>516446200<NA>48728부산광역시 동구 좌천동 67-6부산광역시 동구 중앙대로 414 (좌천동)48728비에스에너지㈜20210424193510U2021-04-26 02:40:00.0일반대리점386945.429086183273.922059100000000기타<NA>
745746석유및석유대체연료판매업체09_28_07_P626000020206260000650002420201112<NA>1영업/정상7영업개시<NA><NA><NA><NA><NA><NA>48821부산광역시 동구 초량동 1204-13 성신빌딩 201동 비호부산광역시 동구 중앙대로180번길 9, 성신빌딩 201동 비호 (초량동)48821㈜명보에너지20210424193510U2021-04-26 02:40:00.0일반대리점385909.371817181245.959273100000000기타<NA>
746747석유및석유대체연료판매업체09_28_07_P626000020216260000650000720210401<NA>1영업/정상7영업개시<NA><NA><NA><NA><NA><NA>47362부산광역시 부산진구 범천동 842-2 두산위브센티움 1동 415호부산광역시 부산진구 자유평화로37번길 67, 1동 415호 (범천동, 두산위브센티움)47362㈜유니콘썬20210424193510U2021-04-26 02:40:00.0일반대리점387888.649317184739.058365105000000기타<NA>
747748석유및석유대체연료판매업체09_28_07_P626000020186260000650002920180912<NA>1영업/정상7영업개시<NA><NA><NA><NA>514698824<NA>48974부산광역시 중구 부평동4가 6-5부산광역시 중구 보수대로56번길 16 (부평동4가)48974(주)해광오일20210424193510U2021-04-26 02:40:00.0일반대리점385906.07313181303.884021150000000기타<NA>
748749석유및석유대체연료판매업체09_28_07_P626000020186260000650003320181026<NA>1영업/정상7영업개시<NA><NA><NA><NA>514667755<NA>48939부산광역시 중구 중앙동4가 87-7 무역회관빌딩 1001호부산광역시 중구 충장대로 11, 무역회관빌딩 1001호 (중앙동4가)48939(주)나부코20210424193510U2021-04-26 02:40:00.0일반대리점385722.481135180423.008165300000000기타<NA>
749750석유및석유대체연료판매업체09_28_07_P626000020186260000650003120181008<NA>1영업/정상7영업개시<NA><NA><NA><NA>7076700032<NA>48822부산광역시 동구 초량동 1213-8 403호부산광역시 동구 중앙대로180번길 12-11, 403호 (초량동)48822오앤비 주식회사20210424193510U2021-04-26 02:40:00.0일반대리점383076.425546194441.653265100000000기타<NA>
750751석유및석유대체연료판매업체09_28_07_P626000020186260000650003720181226<NA>1영업/정상7영업개시<NA><NA><NA><NA>7042062450<NA>49038부산광역시 영도구 대평동2가 66-1부산광역시 영도구 대평로 47-1, 3층 (대평동2가)49038스타마린(주)20210424193510U2021-04-26 02:40:00.0일반대리점399031.076638205503.855855100000000기타<NA>
751752석유및석유대체연료판매업체09_28_07_P626000020186260000650003620181109<NA>1영업/정상7영업개시<NA><NA><NA><NA>516210060<NA>48548부산광역시 남구 용당동 406-16 은마주유소부산광역시 남구 신선로 351, 은마주유소 (용당동)48548은마석유 주식회사20210424193510U2021-04-26 02:40:00.0일반대리점390944.668163181843.8502141300000000기타<NA>
752753석유및석유대체연료판매업체09_28_07_P626000020206260000650002720201214<NA>1영업/정상7영업개시<NA><NA><NA><NA>512561798<NA>48973부산광역시 중구 부평동4가 45번지 향원부평타워 301호부산광역시 중구 대청로 22, 301호 (부평동4가, 향원 부평타워)48973㈜천부마린20210424193510U2021-04-26 02:40:00.0일반대리점384310.556055180078.05988100000000기타<NA>
753754석유및석유대체연료판매업체09_28_07_P626000020216260000650000320210129<NA>1영업/정상7영업개시<NA><NA><NA><NA>514650730<NA>48822부산광역시 동구 초량동 1211-1 대한통운빌딩 1409호부산광역시 동구 중앙대로 176, 대한통운빌딩 1409호 (초량동)48822새한종합연료㈜20210424193510U2021-04-26 02:40:00.0일반대리점385821.851351181218.697894100000000기타<NA>