Overview

Dataset statistics

Number of variables30
Number of observations1092
Missing cells10166
Missing cells (%)31.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory276.3 KiB
Average record size in memory259.1 B

Variable types

Numeric15
Categorical7
Text4
Unsupported3
DateTime1

Dataset

Description22년06월_6270000_대구광역시_09_28_08_P_석유판매업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000093851&dataSetDetailId=DDI_0000093870&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
인허가취소일자 has 1076 (98.5%) missing valuesMissing
폐업일자 has 742 (67.9%) missing valuesMissing
휴업시작일자 has 995 (91.1%) missing valuesMissing
휴업종료일자 has 995 (91.1%) missing valuesMissing
재개업일자 has 1036 (94.9%) missing valuesMissing
소재지전화 has 102 (9.3%) missing valuesMissing
소재지면적 has 482 (44.1%) missing valuesMissing
소재지우편번호 has 1092 (100.0%) missing valuesMissing
소재지전체주소 has 13 (1.2%) missing valuesMissing
도로명전체주소 has 145 (13.3%) missing valuesMissing
도로명우편번호 has 1060 (97.1%) missing valuesMissing
좌표정보(X) has 122 (11.2%) missing valuesMissing
좌표정보(Y) has 122 (11.2%) missing valuesMissing
자본금 has 1092 (100.0%) missing valuesMissing
거래처 has 1092 (100.0%) missing valuesMissing
소재지면적 is highly skewed (γ1 = 24.69042441)Skewed
번호 has unique valuesUnique
관리번호 has unique valuesUnique
소재지우편번호 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
거래처 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-21 16:30:58.639444
Analysis finished2024-04-21 16:30:59.493236
Duration0.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1092
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean546.5
Minimum1
Maximum1092
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.7 KiB
2024-04-22T01:30:59.622504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile55.55
Q1273.75
median546.5
Q3819.25
95-th percentile1037.45
Maximum1092
Range1091
Interquartile range (IQR)545.5

Descriptive statistics

Standard deviation315.37755
Coefficient of variation (CV)0.5770861
Kurtosis-1.2
Mean546.5
Median Absolute Deviation (MAD)273
Skewness0
Sum596778
Variance99463
MonotonicityStrictly increasing
2024-04-22T01:30:59.870809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
728 1
 
0.1%
734 1
 
0.1%
733 1
 
0.1%
732 1
 
0.1%
731 1
 
0.1%
730 1
 
0.1%
729 1
 
0.1%
727 1
 
0.1%
685 1
 
0.1%
Other values (1082) 1082
99.1%
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 (%)
1092 1
0.1%
1091 1
0.1%
1090 1
0.1%
1089 1
0.1%
1088 1
0.1%
1087 1
0.1%
1086 1
0.1%
1085 1
0.1%
1084 1
0.1%
1083 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.7 KiB
석유판매업
1092 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
석유판매업 1092
100.0%

Length

2024-04-22T01:31:00.095471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:31:00.250376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
석유판매업 1092
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.7 KiB
09_28_08_P
1092 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row09_28_08_P
2nd row09_28_08_P
3rd row09_28_08_P
4th row09_28_08_P
5th row09_28_08_P

Common Values

ValueCountFrequency (%)
09_28_08_P 1092
100.0%

Length

2024-04-22T01:31:00.410774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:31:00.568851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_28_08_p 1092
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3451181.3
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.7 KiB
2024-04-22T01:31:00.709139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3420000
Q13430000
median3450000
Q33470000
95-th percentile3480000
Maximum3480000
Range70000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation22069.304
Coefficient of variation (CV)0.00639471
Kurtosis-1.270661
Mean3451181.3
Median Absolute Deviation (MAD)20000
Skewness-0.3037834
Sum3.76869 × 109
Variance4.8705417 × 108
MonotonicityIncreasing
2024-04-22T01:31:00.904060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 230
21.1%
3420000 190
17.4%
3450000 173
15.8%
3480000 170
15.6%
3460000 135
12.4%
3430000 110
10.1%
3440000 50
 
4.6%
3410000 34
 
3.1%
ValueCountFrequency (%)
3410000 34
 
3.1%
3420000 190
17.4%
3430000 110
10.1%
3440000 50
 
4.6%
3450000 173
15.8%
3460000 135
12.4%
3470000 230
21.1%
3480000 170
15.6%
ValueCountFrequency (%)
3480000 170
15.6%
3470000 230
21.1%
3460000 135
12.4%
3450000 173
15.8%
3440000 50
 
4.6%
3430000 110
10.1%
3420000 190
17.4%
3410000 34
 
3.1%

관리번호
Real number (ℝ)

UNIQUE 

Distinct1092
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9682239 × 1018
Minimum199213
Maximum2.022343 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.7 KiB
2024-04-22T01:31:01.148405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum199213
5-th percentile1.976344 × 1018
Q11.992344 × 1018
median1.994346 × 1018
Q32.001343 × 1018
95-th percentile2.0103465 × 1018
Maximum2.022343 × 1018
Range2.022343 × 1018
Interquartile range (IQR)8.9990053 × 1015

Descriptive statistics

Standard deviation2.3254808 × 1017
Coefficient of variation (CV)0.11815124
Kurtosis67.914104
Mean1.9682239 × 1018
Median Absolute Deviation (MAD)4.9989957 × 1015
Skewness-8.3472833
Sum-8.9686113 × 1018
Variance5.4078612 × 1034
MonotonicityNot monotonic
2024-04-22T01:31:01.415798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1994341004601500001 1
 
0.1%
1996347001301500002 1
 
0.1%
1976347001301500001 1
 
0.1%
1980347001301200001 1
 
0.1%
1976347006201500001 1
 
0.1%
2003347007501500012 1
 
0.1%
1997347001301200028 1
 
0.1%
1996347001301500004 1
 
0.1%
1996347001301500001 1
 
0.1%
1999346005501200008 1
 
0.1%
Other values (1082) 1082
99.1%
ValueCountFrequency (%)
199213 1
0.1%
198200019 1
0.1%
199100018 1
0.1%
199200001 1
0.1%
199200013 1
0.1%
199300023 1
0.1%
199400011 1
0.1%
199400014 1
0.1%
199600015 1
0.1%
200000032 1
0.1%
ValueCountFrequency (%)
2022343009501200001 1
0.1%
2021347018001500001 1
0.1%
2021345016001500002 1
0.1%
2021345016001500001 1
0.1%
2021342016201200002 1
0.1%
2021342016201200001 1
0.1%
2020348036501500001 1
0.1%
2020347018001500001 1
0.1%
2020342016201200002 1
0.1%
2020342016201200001 1
0.1%

인허가일자
Real number (ℝ)

Distinct810
Distinct (%)74.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19952618
Minimum19681025
Maximum20220302
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.7 KiB
2024-04-22T01:31:01.694479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19681025
5-th percentile19760521
Q119920826
median19940810
Q320010720
95-th percentile20100421
Maximum20220302
Range539277
Interquartile range (IQR)89894.5

Descriptive statistics

Standard deviation92029.141
Coefficient of variation (CV)0.0046123843
Kurtosis0.51415618
Mean19952618
Median Absolute Deviation (MAD)49749.5
Skewness-0.075901269
Sum2.1788259 × 1010
Variance8.4693629 × 109
MonotonicityNot monotonic
2024-04-22T01:31:02.147104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19760508 20
 
1.8%
19931127 19
 
1.7%
19931125 14
 
1.3%
19760519 13
 
1.2%
19931124 12
 
1.1%
19931208 11
 
1.0%
19931129 10
 
0.9%
19760521 7
 
0.6%
20030722 7
 
0.6%
19760611 6
 
0.5%
Other values (800) 973
89.1%
ValueCountFrequency (%)
19681025 1
0.1%
19690302 1
0.1%
19701207 1
0.1%
19701224 1
0.1%
19720628 1
0.1%
19740617 1
0.1%
19740625 1
0.1%
19760402 1
0.1%
19760430 1
0.1%
19760502 1
0.1%
ValueCountFrequency (%)
20220302 1
0.1%
20210906 1
0.1%
20210706 1
0.1%
20210503 1
0.1%
20210419 1
0.1%
20210409 1
0.1%
20200914 2
0.2%
20200827 1
0.1%
20200130 1
0.1%
20190724 1
0.1%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)93.8%
Missing1076
Missing (%)98.5%
Infinite0
Infinite (%)0.0%
Mean20141919
Minimum20080805
Maximum20180615
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.7 KiB
2024-04-22T01:31:02.373403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080805
5-th percentile20088017
Q120128305
median20145912
Q320163129
95-th percentile20180462
Maximum20180615
Range99810
Interquartile range (IQR)34824

Descriptive statistics

Standard deviation31097.751
Coefficient of variation (CV)0.0015439319
Kurtosis-0.48846847
Mean20141919
Median Absolute Deviation (MAD)19698.5
Skewness-0.67285205
Sum3.222707 × 108
Variance9.6707012 × 108
MonotonicityNot monotonic
2024-04-22T01:31:02.579252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
20160630 2
 
0.2%
20170530 1
 
0.1%
20131101 1
 
0.1%
20160805 1
 
0.1%
20180411 1
 
0.1%
20140701 1
 
0.1%
20151123 1
 
0.1%
20090421 1
 
0.1%
20080805 1
 
0.1%
20170102 1
 
0.1%
Other values (5) 5
 
0.5%
(Missing) 1076
98.5%
ValueCountFrequency (%)
20080805 1
0.1%
20090421 1
0.1%
20100617 1
0.1%
20121106 1
0.1%
20130705 1
0.1%
20131101 1
0.1%
20140402 1
0.1%
20140701 1
0.1%
20151123 1
0.1%
20160630 2
0.2%
ValueCountFrequency (%)
20180615 1
0.1%
20180411 1
0.1%
20170530 1
0.1%
20170102 1
0.1%
20160805 1
0.1%
20160630 2
0.2%
20151123 1
0.1%
20140701 1
0.1%
20140402 1
0.1%
20131101 1
0.1%

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.7 KiB
3
559 
1
500 
4
 
25
2
 
8

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 (%)
3 559
51.2%
1 500
45.8%
4 25
 
2.3%
2 8
 
0.7%

Length

2024-04-22T01:31:02.789935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:31:02.960618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 559
51.2%
1 500
45.8%
4 25
 
2.3%
2 8
 
0.7%

영업상태명
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.7 KiB
폐업
559 
영업/정상
500 
취소/말소/만료/정지/중지
 
25
휴업
 
8

Length

Max length14
Median length2
Mean length3.6483516
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 559
51.2%
영업/정상 500
45.8%
취소/말소/만료/정지/중지 25
 
2.3%
휴업 8
 
0.7%

Length

2024-04-22T01:31:03.155755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:31:03.336866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 559
51.2%
영업/정상 500
45.8%
취소/말소/만료/정지/중지 25
 
2.3%
휴업 8
 
0.7%

상세영업상태코드
Real number (ℝ)

Distinct7
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.217033
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.7 KiB
2024-04-22T01:31:03.495811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q33
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.9768512
Coefficient of variation (CV)0.61449516
Kurtosis-0.32932582
Mean3.217033
Median Absolute Deviation (MAD)0
Skewness0.83583037
Sum3513
Variance3.9079406
MonotonicityNot monotonic
2024-04-22T01:31:03.670317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 559
51.2%
1 285
26.1%
7 169
 
15.5%
6 46
 
4.2%
2 24
 
2.2%
5 8
 
0.7%
4 1
 
0.1%
ValueCountFrequency (%)
1 285
26.1%
2 24
 
2.2%
3 559
51.2%
4 1
 
0.1%
5 8
 
0.7%
6 46
 
4.2%
7 169
 
15.5%
ValueCountFrequency (%)
7 169
 
15.5%
6 46
 
4.2%
5 8
 
0.7%
4 1
 
0.1%
3 559
51.2%
2 24
 
2.2%
1 285
26.1%

상세영업상태명
Categorical

Distinct7
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size8.7 KiB
폐지
559 
신규등록
285 
영업개시
169 
휴지사업재개
 
46
등록취소
 
24
Other values (2)
 
9

Length

Max length6
Median length2
Mean length3.0604396
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row신규등록
2nd row휴지사업재개
3rd row신규등록
4th row신규등록
5th row신규등록

Common Values

ValueCountFrequency (%)
폐지 559
51.2%
신규등록 285
26.1%
영업개시 169
 
15.5%
휴지사업재개 46
 
4.2%
등록취소 24
 
2.2%
사업휴지 8
 
0.7%
사업정지 1
 
0.1%

Length

2024-04-22T01:31:03.903089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:31:04.124283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐지 559
51.2%
신규등록 285
26.1%
영업개시 169
 
15.5%
휴지사업재개 46
 
4.2%
등록취소 24
 
2.2%
사업휴지 8
 
0.7%
사업정지 1
 
0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct327
Distinct (%)93.4%
Missing742
Missing (%)67.9%
Infinite0
Infinite (%)0.0%
Mean20131712
Minimum20001229
Maximum20220502
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.7 KiB
2024-04-22T01:31:04.365553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20001229
5-th percentile20050255
Q120090941
median20131012
Q320170680
95-th percentile20210305
Maximum20220502
Range219273
Interquartile range (IQR)79739

Descriptive statistics

Standard deviation49444.347
Coefficient of variation (CV)0.0024560428
Kurtosis-0.69171129
Mean20131712
Median Absolute Deviation (MAD)39800
Skewness-0.17869247
Sum7.0460993 × 109
Variance2.4447434 × 109
MonotonicityNot monotonic
2024-04-22T01:31:04.619359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20150508 4
 
0.4%
20110718 3
 
0.3%
20201221 3
 
0.3%
20110401 3
 
0.3%
20220110 2
 
0.2%
20210303 2
 
0.2%
20210305 2
 
0.2%
20150817 2
 
0.2%
20160404 2
 
0.2%
20130508 2
 
0.2%
Other values (317) 325
29.8%
(Missing) 742
67.9%
ValueCountFrequency (%)
20001229 1
0.1%
20020424 1
0.1%
20020829 1
0.1%
20020901 1
0.1%
20020923 1
0.1%
20021112 1
0.1%
20030304 1
0.1%
20031208 1
0.1%
20040112 1
0.1%
20040117 1
0.1%
ValueCountFrequency (%)
20220502 1
0.1%
20220407 1
0.1%
20220303 1
0.1%
20220214 1
0.1%
20220210 1
0.1%
20220112 1
0.1%
20220110 2
0.2%
20211029 1
0.1%
20210910 1
0.1%
20210819 1
0.1%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct97
Distinct (%)100.0%
Missing995
Missing (%)91.1%
Infinite0
Infinite (%)0.0%
Mean20142921
Minimum20070730
Maximum20220610
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.7 KiB
2024-04-22T01:31:04.858305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070730
5-th percentile20088726
Q120111017
median20141231
Q320170903
95-th percentile20203081
Maximum20220610
Range149880
Interquartile range (IQR)59886

Descriptive statistics

Standard deviation36433.307
Coefficient of variation (CV)0.00180874
Kurtosis-0.65873193
Mean20142921
Median Absolute Deviation (MAD)29683
Skewness0.078035164
Sum1.9538634 × 109
Variance1.3273858 × 109
MonotonicityNot monotonic
2024-04-22T01:31:05.116906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20220610 1
 
0.1%
20180101 1
 
0.1%
20100601 1
 
0.1%
20111017 1
 
0.1%
20081211 1
 
0.1%
20190611 1
 
0.1%
20190101 1
 
0.1%
20150901 1
 
0.1%
20121205 1
 
0.1%
20151119 1
 
0.1%
Other values (87) 87
 
8.0%
(Missing) 995
91.1%
ValueCountFrequency (%)
20070730 1
0.1%
20071019 1
0.1%
20080101 1
0.1%
20080721 1
0.1%
20081211 1
0.1%
20090605 1
0.1%
20090608 1
0.1%
20090609 1
0.1%
20090731 1
0.1%
20090829 1
0.1%
ValueCountFrequency (%)
20220610 1
0.1%
20220302 1
0.1%
20220124 1
0.1%
20210811 1
0.1%
20210601 1
0.1%
20201201 1
0.1%
20200429 1
0.1%
20190701 1
0.1%
20190611 1
0.1%
20190101 1
0.1%

휴업종료일자
Real number (ℝ)

MISSING 

Distinct90
Distinct (%)92.8%
Missing995
Missing (%)91.1%
Infinite0
Infinite (%)0.0%
Mean20148615
Minimum20080209
Maximum20221231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.7 KiB
2024-04-22T01:31:05.376300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080209
5-th percentile20090967
Q120120531
median20150922
Q320180209
95-th percentile20210510
Maximum20221231
Range141022
Interquartile range (IQR)59678

Descriptive statistics

Standard deviation35716.95
Coefficient of variation (CV)0.0017726752
Kurtosis-0.76158646
Mean20148615
Median Absolute Deviation (MAD)29991
Skewness0.046489844
Sum1.9544156 × 109
Variance1.2757005 × 109
MonotonicityNot monotonic
2024-04-22T01:31:05.635189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20140630 3
 
0.3%
20181231 2
 
0.2%
20171231 2
 
0.2%
20170131 2
 
0.2%
20141231 2
 
0.2%
20151231 2
 
0.2%
20081018 1
 
0.1%
20190416 1
 
0.1%
20221231 1
 
0.1%
20131230 1
 
0.1%
Other values (80) 80
 
7.3%
(Missing) 995
91.1%
ValueCountFrequency (%)
20080209 1
0.1%
20081018 1
0.1%
20081231 1
0.1%
20090310 1
0.1%
20090720 1
0.1%
20091029 1
0.1%
20100110 1
0.1%
20100607 1
0.1%
20100608 1
0.1%
20100630 1
0.1%
ValueCountFrequency (%)
20221231 1
0.1%
20220930 1
0.1%
20220810 1
0.1%
20220809 1
0.1%
20210831 1
0.1%
20210430 1
0.1%
20200531 1
0.1%
20191231 1
0.1%
20191211 1
0.1%
20191108 1
0.1%

재개업일자
Real number (ℝ)

MISSING 

Distinct55
Distinct (%)98.2%
Missing1036
Missing (%)94.9%
Infinite0
Infinite (%)0.0%
Mean20147166
Minimum20071010
Maximum20211208
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.7 KiB
2024-04-22T01:31:05.895430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20071010
5-th percentile20090812
Q120127969
median20150314
Q320173359
95-th percentile20200447
Maximum20211208
Range140198
Interquartile range (IQR)45390.25

Descriptive statistics

Standard deviation33285.568
Coefficient of variation (CV)0.0016521216
Kurtosis-0.58181138
Mean20147166
Median Absolute Deviation (MAD)24945
Skewness-0.223979
Sum1.1282413 × 109
Variance1.107929 × 109
MonotonicityNot monotonic
2024-04-22T01:31:06.147590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20150924 2
 
0.2%
20180420 1
 
0.1%
20150608 1
 
0.1%
20110617 1
 
0.1%
20161224 1
 
0.1%
20171101 1
 
0.1%
20110624 1
 
0.1%
20180321 1
 
0.1%
20090210 1
 
0.1%
20140117 1
 
0.1%
Other values (45) 45
 
4.1%
(Missing) 1036
94.9%
ValueCountFrequency (%)
20071010 1
0.1%
20081230 1
0.1%
20090210 1
0.1%
20091013 1
0.1%
20100625 1
0.1%
20101101 1
0.1%
20101210 1
0.1%
20101227 1
0.1%
20110617 1
0.1%
20110624 1
0.1%
ValueCountFrequency (%)
20211208 1
0.1%
20200806 1
0.1%
20200507 1
0.1%
20200427 1
0.1%
20190902 1
0.1%
20190211 1
0.1%
20181207 1
0.1%
20181130 1
0.1%
20181005 1
0.1%
20180922 1
0.1%

소재지전화
Text

MISSING 

Distinct950
Distinct (%)96.0%
Missing102
Missing (%)9.3%
Memory size8.7 KiB
2024-04-22T01:31:07.243021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.59596
Min length7

Characters and Unicode

Total characters11480
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

Unique915 ?
Unique (%)92.4%

Sample

1st row053-255-2010
2nd row053 4228010
3rd row053-421-5145
4th row053 424 2240
5th row053 04275151
ValueCountFrequency (%)
053 853
37.1%
5151 17
 
0.7%
611 13
 
0.6%
053614 8
 
0.3%
582 8
 
0.3%
593 8
 
0.3%
563 7
 
0.3%
656 7
 
0.3%
311 7
 
0.3%
941 7
 
0.3%
Other values (1052) 1367
59.4%
2024-04-22T01:31:08.704318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 2148
18.7%
0 1763
15.4%
3 1630
14.2%
1470
12.8%
1 891
7.8%
6 790
 
6.9%
2 635
 
5.5%
4 576
 
5.0%
8 558
 
4.9%
7 549
 
4.8%
Other values (2) 470
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9983
87.0%
Space Separator 1470
 
12.8%
Dash Punctuation 27
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 2148
21.5%
0 1763
17.7%
3 1630
16.3%
1 891
8.9%
6 790
 
7.9%
2 635
 
6.4%
4 576
 
5.8%
8 558
 
5.6%
7 549
 
5.5%
9 443
 
4.4%
Space Separator
ValueCountFrequency (%)
1470
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11480
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 2148
18.7%
0 1763
15.4%
3 1630
14.2%
1470
12.8%
1 891
7.8%
6 790
 
6.9%
2 635
 
5.5%
4 576
 
5.0%
8 558
 
4.9%
7 549
 
4.8%
Other values (2) 470
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11480
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 2148
18.7%
0 1763
15.4%
3 1630
14.2%
1470
12.8%
1 891
7.8%
6 790
 
6.9%
2 635
 
5.5%
4 576
 
5.0%
8 558
 
4.9%
7 549
 
4.8%
Other values (2) 470
 
4.1%

소재지면적
Real number (ℝ)

MISSING  SKEWED 

Distinct528
Distinct (%)86.6%
Missing482
Missing (%)44.1%
Infinite0
Infinite (%)0.0%
Mean3180.9065
Minimum7
Maximum1282175
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.7 KiB
2024-04-22T01:31:09.127828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile208.1425
Q1660
median952.85
Q31374.225
95-th percentile2301.82
Maximum1282175
Range1282168
Interquartile range (IQR)714.225

Descriptive statistics

Standard deviation51875.407
Coefficient of variation (CV)16.308372
Kurtosis609.74398
Mean3180.9065
Median Absolute Deviation (MAD)349.35
Skewness24.690424
Sum1940352.9
Variance2.6910579 × 109
MonotonicityNot monotonic
2024-04-22T01:31:09.596780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
665.0 4
 
0.4%
660.0 4
 
0.4%
664.0 4
 
0.4%
813.0 3
 
0.3%
1185.0 3
 
0.3%
1653.0 3
 
0.3%
1475.0 3
 
0.3%
99.0 3
 
0.3%
931.0 3
 
0.3%
450.0 3
 
0.3%
Other values (518) 577
52.8%
(Missing) 482
44.1%
ValueCountFrequency (%)
7.0 1
0.1%
10.0 1
0.1%
26.4 1
0.1%
30.0 1
0.1%
45.69 1
0.1%
50.76 1
0.1%
55.0 1
0.1%
61.0 1
0.1%
84.0 1
0.1%
89.2 1
0.1%
ValueCountFrequency (%)
1282175.0 1
0.1%
7439.0 1
0.1%
6063.0 2
0.2%
4107.0 1
0.1%
4083.0 1
0.1%
4054.0 1
0.1%
3766.0 1
0.1%
3603.0 1
0.1%
3380.99 1
0.1%
3160.0 1
0.1%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1092
Missing (%)100.0%
Memory size9.7 KiB

소재지전체주소
Text

MISSING 

Distinct982
Distinct (%)91.0%
Missing13
Missing (%)1.2%
Memory size8.7 KiB
2024-04-22T01:31:10.830854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length45
Mean length21.920297
Min length16

Characters and Unicode

Total characters23652
Distinct characters190
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique900 ?
Unique (%)83.4%

Sample

1st row대구광역시 중구 태평로3가 218-1
2nd row대구광역시 중구 동인동2가 25
3rd row대구광역시 중구 태평로3가 214-20
4th row대구광역시 중구 동인동3가 271-99
5th row대구광역시 중구 대봉동 21-7
ValueCountFrequency (%)
대구광역시 1072
22.5%
달서구 216
 
4.5%
동구 181
 
3.8%
북구 172
 
3.6%
달성군 169
 
3.5%
수성구 140
 
2.9%
서구 112
 
2.3%
남구 51
 
1.1%
현풍면 40
 
0.8%
대명동 40
 
0.8%
Other values (1329) 2579
54.0%
2024-04-22T01:31:12.500823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4757
20.1%
구 1996
 
8.4%
대 1150
 
4.9%
동 1147
 
4.8%
1 1138
 
4.8%
시 1084
 
4.6%
광 1075
 
4.5%
역 1075
 
4.5%
- 996
 
4.2%
2 715
 
3.0%
Other values (180) 8519
36.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12273
51.9%
Decimal Number 5424
22.9%
Space Separator 4757
 
20.1%
Dash Punctuation 996
 
4.2%
Other Punctuation 90
 
0.4%
Open Punctuation 56
 
0.2%
Close Punctuation 56
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1996
16.3%
대 1150
 
9.4%
동 1147
 
9.3%
시 1084
 
8.8%
광 1075
 
8.8%
역 1075
 
8.8%
달 395
 
3.2%
성 378
 
3.1%
서 358
 
2.9%
리 250
 
2.0%
Other values (163) 3365
27.4%
Decimal Number
ValueCountFrequency (%)
1 1138
21.0%
2 715
13.2%
3 596
11.0%
4 506
9.3%
0 472
8.7%
6 468
8.6%
5 448
 
8.3%
7 389
 
7.2%
8 362
 
6.7%
9 330
 
6.1%
Other Punctuation
ValueCountFrequency (%)
, 76
84.4%
. 12
 
13.3%
/ 2
 
2.2%
Space Separator
ValueCountFrequency (%)
4757
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 996
100.0%
Open Punctuation
ValueCountFrequency (%)
( 56
100.0%
Close Punctuation
ValueCountFrequency (%)
) 56
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12273
51.9%
Common 11379
48.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1996
16.3%
대 1150
 
9.4%
동 1147
 
9.3%
시 1084
 
8.8%
광 1075
 
8.8%
역 1075
 
8.8%
달 395
 
3.2%
성 378
 
3.1%
서 358
 
2.9%
리 250
 
2.0%
Other values (163) 3365
27.4%
Common
ValueCountFrequency (%)
4757
41.8%
1 1138
 
10.0%
- 996
 
8.8%
2 715
 
6.3%
3 596
 
5.2%
4 506
 
4.4%
0 472
 
4.1%
6 468
 
4.1%
5 448
 
3.9%
7 389
 
3.4%
Other values (7) 894
 
7.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12273
51.9%
ASCII 11379
48.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4757
41.8%
1 1138
 
10.0%
- 996
 
8.8%
2 715
 
6.3%
3 596
 
5.2%
4 506
 
4.4%
0 472
 
4.1%
6 468
 
4.1%
5 448
 
3.9%
7 389
 
3.4%
Other values (7) 894
 
7.9%
Hangul
ValueCountFrequency (%)
구 1996
16.3%
대 1150
 
9.4%
동 1147
 
9.3%
시 1084
 
8.8%
광 1075
 
8.8%
역 1075
 
8.8%
달 395
 
3.2%
성 378
 
3.1%
서 358
 
2.9%
리 250
 
2.0%
Other values (163) 3365
27.4%

도로명전체주소
Text

MISSING 

Distinct861
Distinct (%)90.9%
Missing145
Missing (%)13.3%
Memory size8.7 KiB
2024-04-22T01:31:13.834898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length44
Mean length24.110876
Min length19

Characters and Unicode

Total characters22833
Distinct characters221
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique787 ?
Unique (%)83.1%

Sample

1st row대구광역시 중구 태평로 120 (태평로3가)
2nd row대구광역시 중구 국채보상로 642 (동인동2가)
3rd row대구광역시 중구 태평로 105 (태평로3가)
4th row대구광역시 중구 태평로51길 42 (동인동3가)
5th row대구광역시 중구 달구벌대로 2194 (대봉동)
ValueCountFrequency (%)
대구광역시 944
 
19.7%
달서구 197
 
4.1%
동구 178
 
3.7%
달성군 138
 
2.9%
북구 126
 
2.6%
수성구 123
 
2.6%
서구 108
 
2.3%
남구 48
 
1.0%
달구벌대로 46
 
1.0%
평리동 37
 
0.8%
Other values (1069) 2839
59.3%
2024-04-22T01:31:15.423991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3926
17.2%
구 1860
 
8.1%
대 1150
 
5.0%
동 1105
 
4.8%
시 956
 
4.2%
광 948
 
4.2%
역 947
 
4.1%
로 920
 
4.0%
) 817
 
3.6%
( 817
 
3.6%
Other values (211) 9387
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13756
60.2%
Space Separator 3926
 
17.2%
Decimal Number 3312
 
14.5%
Close Punctuation 817
 
3.6%
Open Punctuation 817
 
3.6%
Dash Punctuation 136
 
0.6%
Other Punctuation 69
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1860
 
13.5%
대 1150
 
8.4%
동 1105
 
8.0%
시 956
 
6.9%
광 948
 
6.9%
역 947
 
6.9%
로 920
 
6.7%
달 426
 
3.1%
서 391
 
2.8%
성 364
 
2.6%
Other values (195) 4689
34.1%
Decimal Number
ValueCountFrequency (%)
1 689
20.8%
2 486
14.7%
3 409
12.3%
4 326
9.8%
5 267
 
8.1%
7 238
 
7.2%
8 232
 
7.0%
6 227
 
6.9%
9 225
 
6.8%
0 213
 
6.4%
Other Punctuation
ValueCountFrequency (%)
, 65
94.2%
. 4
 
5.8%
Space Separator
ValueCountFrequency (%)
3926
100.0%
Close Punctuation
ValueCountFrequency (%)
) 817
100.0%
Open Punctuation
ValueCountFrequency (%)
( 817
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 136
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13756
60.2%
Common 9077
39.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1860
 
13.5%
대 1150
 
8.4%
동 1105
 
8.0%
시 956
 
6.9%
광 948
 
6.9%
역 947
 
6.9%
로 920
 
6.7%
달 426
 
3.1%
서 391
 
2.8%
성 364
 
2.6%
Other values (195) 4689
34.1%
Common
ValueCountFrequency (%)
3926
43.3%
) 817
 
9.0%
( 817
 
9.0%
1 689
 
7.6%
2 486
 
5.4%
3 409
 
4.5%
4 326
 
3.6%
5 267
 
2.9%
7 238
 
2.6%
8 232
 
2.6%
Other values (6) 870
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13756
60.2%
ASCII 9077
39.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3926
43.3%
) 817
 
9.0%
( 817
 
9.0%
1 689
 
7.6%
2 486
 
5.4%
3 409
 
4.5%
4 326
 
3.6%
5 267
 
2.9%
7 238
 
2.6%
8 232
 
2.6%
Other values (6) 870
 
9.6%
Hangul
ValueCountFrequency (%)
구 1860
 
13.5%
대 1150
 
8.4%
동 1105
 
8.0%
시 956
 
6.9%
광 948
 
6.9%
역 947
 
6.9%
로 920
 
6.7%
달 426
 
3.1%
서 391
 
2.8%
성 364
 
2.6%
Other values (195) 4689
34.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)81.2%
Missing1060
Missing (%)97.1%
Infinite0
Infinite (%)0.0%
Mean41802.281
Minimum41002
Maximum43013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.7 KiB
2024-04-22T01:31:15.818424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41002
5-th percentile41020.7
Q141124
median41323.5
Q342748.25
95-th percentile42980.05
Maximum43013
Range2011
Interquartile range (IQR)1624.25

Descriptive statistics

Standard deviation821.35346
Coefficient of variation (CV)0.019648532
Kurtosis-1.6261865
Mean41802.281
Median Absolute Deviation (MAD)280.5
Skewness0.51915434
Sum1337673
Variance674621.5
MonotonicityNot monotonic
2024-04-22T01:31:16.226556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
41183 3
 
0.3%
41002 2
 
0.2%
41124 2
 
0.2%
41052 2
 
0.2%
42976 2
 
0.2%
42238 1
 
0.1%
42985 1
 
0.1%
42957 1
 
0.1%
43013 1
 
0.1%
42936 1
 
0.1%
Other values (16) 16
 
1.5%
(Missing) 1060
97.1%
ValueCountFrequency (%)
41002 2
0.2%
41036 1
 
0.1%
41050 1
 
0.1%
41052 2
0.2%
41065 1
 
0.1%
41124 2
0.2%
41127 1
 
0.1%
41142 1
 
0.1%
41145 1
 
0.1%
41183 3
0.3%
ValueCountFrequency (%)
43013 1
0.1%
42985 1
0.1%
42976 2
0.2%
42957 1
0.1%
42936 1
0.1%
42924 1
0.1%
42842 1
0.1%
42717 1
0.1%
42699 1
0.1%
42424 1
0.1%

사업장명
Text

Distinct913
Distinct (%)83.6%
Missing0
Missing (%)0.0%
Memory size8.7 KiB
2024-04-22T01:31:17.208407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length6.5430403
Min length2

Characters and Unicode

Total characters7145
Distinct characters341
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique795 ?
Unique (%)72.8%

Sample

1st rowGS태평주유소
2nd row케이케이(KK) 주식회사 중앙주유소
3rd row행운주유소
4th row분도석유
5th row조양주유소
ValueCountFrequency (%)
중복자료 27
 
2.3%
주유소 7
 
0.6%
현대오일뱅크(주)직영 5
 
0.4%
지에스칼텍스(주 5
 
0.4%
대원석유 5
 
0.4%
태영석유판매소 4
 
0.3%
구지주유소 4
 
0.3%
대구석유 4
 
0.3%
구도일주유소 4
 
0.3%
미니주유소 4
 
0.3%
Other values (938) 1091
94.1%
2024-04-22T01:31:18.441948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
유 942
 
13.2%
주 744
 
10.4%
소 609
 
8.5%
석 318
 
4.5%
대 216
 
3.0%
( 165
 
2.3%
) 165
 
2.3%
지 161
 
2.3%
에 143
 
2.0%
성 132
 
1.8%
Other values (331) 3550
49.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6560
91.8%
Open Punctuation 165
 
2.3%
Close Punctuation 165
 
2.3%
Uppercase Letter 125
 
1.7%
Space Separator 68
 
1.0%
Decimal Number 35
 
0.5%
Lowercase Letter 19
 
0.3%
Other Punctuation 4
 
0.1%
Dash Punctuation 2
 
< 0.1%
Letter Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 942
 
14.4%
주 744
 
11.3%
소 609
 
9.3%
석 318
 
4.8%
대 216
 
3.3%
지 161
 
2.5%
에 143
 
2.2%
성 132
 
2.0%
일 121
 
1.8%
너 113
 
1.7%
Other values (300) 3061
46.7%
Uppercase Letter
ValueCountFrequency (%)
S 42
33.6%
K 37
29.6%
I 12
 
9.6%
C 12
 
9.6%
G 9
 
7.2%
L 6
 
4.8%
E 3
 
2.4%
F 2
 
1.6%
X 1
 
0.8%
J 1
 
0.8%
Decimal Number
ValueCountFrequency (%)
2 17
48.6%
8 5
 
14.3%
1 5
 
14.3%
4 2
 
5.7%
6 2
 
5.7%
5 2
 
5.7%
3 1
 
2.9%
0 1
 
2.9%
Lowercase Letter
ValueCountFrequency (%)
e 6
31.6%
k 3
15.8%
l 3
15.8%
s 3
15.8%
f 2
 
10.5%
i 1
 
5.3%
o 1
 
5.3%
Open Punctuation
ValueCountFrequency (%)
( 165
100.0%
Close Punctuation
ValueCountFrequency (%)
) 165
100.0%
Space Separator
ValueCountFrequency (%)
68
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6560
91.8%
Common 439
 
6.1%
Latin 146
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 942
 
14.4%
주 744
 
11.3%
소 609
 
9.3%
석 318
 
4.8%
대 216
 
3.3%
지 161
 
2.5%
에 143
 
2.2%
성 132
 
2.0%
일 121
 
1.8%
너 113
 
1.7%
Other values (300) 3061
46.7%
Latin
ValueCountFrequency (%)
S 42
28.8%
K 37
25.3%
I 12
 
8.2%
C 12
 
8.2%
G 9
 
6.2%
e 6
 
4.1%
L 6
 
4.1%
k 3
 
2.1%
l 3
 
2.1%
s 3
 
2.1%
Other values (8) 13
 
8.9%
Common
ValueCountFrequency (%)
( 165
37.6%
) 165
37.6%
68
15.5%
2 17
 
3.9%
8 5
 
1.1%
1 5
 
1.1%
. 4
 
0.9%
4 2
 
0.5%
- 2
 
0.5%
6 2
 
0.5%
Other values (3) 4
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6560
91.8%
ASCII 583
 
8.2%
Number Forms 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
유 942
 
14.4%
주 744
 
11.3%
소 609
 
9.3%
석 318
 
4.8%
대 216
 
3.3%
지 161
 
2.5%
에 143
 
2.2%
성 132
 
2.0%
일 121
 
1.8%
너 113
 
1.7%
Other values (300) 3061
46.7%
ASCII
ValueCountFrequency (%)
( 165
28.3%
) 165
28.3%
68
11.7%
S 42
 
7.2%
K 37
 
6.3%
2 17
 
2.9%
I 12
 
2.1%
C 12
 
2.1%
G 9
 
1.5%
e 6
 
1.0%
Other values (20) 50
 
8.6%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%

최종수정시점
Real number (ℝ)

Distinct1053
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.015817 × 1013
Minimum2.0000605 × 1013
Maximum2.0220628 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.7 KiB
2024-04-22T01:31:18.860619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0000605 × 1013
5-th percentile2.0050804 × 1013
Q12.0140283 × 1013
median2.0171127 × 1013
Q32.0200814 × 1013
95-th percentile2.0220303 × 1013
Maximum2.0220628 × 1013
Range2.2002318 × 1011
Interquartile range (IQR)6.0530942 × 1010

Descriptive statistics

Standard deviation5.2921553 × 1010
Coefficient of variation (CV)0.0026253153
Kurtosis0.43087738
Mean2.015817 × 1013
Median Absolute Deviation (MAD)3.0624515 × 1010
Skewness-0.9958467
Sum2.2012722 × 1016
Variance2.8006908 × 1021
MonotonicityNot monotonic
2024-04-22T01:31:19.305516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20050804000000 17
 
1.6%
20021223000000 7
 
0.6%
20000607000000 5
 
0.5%
20000605000000 5
 
0.5%
20021224000000 4
 
0.4%
20001205000000 4
 
0.4%
20021022000000 3
 
0.3%
20030507000000 2
 
0.2%
20190124135708 1
 
0.1%
20220620131830 1
 
0.1%
Other values (1043) 1043
95.5%
ValueCountFrequency (%)
20000605000000 5
0.5%
20000607000000 5
0.5%
20000609000000 1
 
0.1%
20000612000000 1
 
0.1%
20000714000000 1
 
0.1%
20000718000000 1
 
0.1%
20000724000000 1
 
0.1%
20001205000000 4
0.4%
20021022000000 3
0.3%
20021023000000 1
 
0.1%
ValueCountFrequency (%)
20220628175319 1
0.1%
20220628173624 1
0.1%
20220624135054 1
0.1%
20220622130009 1
0.1%
20220622105723 1
0.1%
20220621113147 1
0.1%
20220621085740 1
0.1%
20220620161341 1
0.1%
20220620131830 1
0.1%
20220616175040 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.7 KiB
I
676 
U
416 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 676
61.9%
U 416
38.1%

Length

2024-04-22T01:31:19.709280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:31:20.012195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 676
61.9%
u 416
38.1%

데이터갱신일자
Date

Distinct304
Distinct (%)27.8%
Missing0
Missing (%)0.0%
Memory size8.7 KiB
Minimum2018-08-31 23:59:59
Maximum2022-06-30 02:40:00
2024-04-22T01:31:20.334906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T01:31:20.776622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.7 KiB
주유소
611 
일반판매소
449 
용제판매소
 
31
항공유판매소
 
1

Length

Max length6
Median length3
Mean length3.8818681
Min length3

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row주유소
2nd row주유소
3rd row주유소
4th row일반판매소
5th row주유소

Common Values

ValueCountFrequency (%)
주유소 611
56.0%
일반판매소 449
41.1%
용제판매소 31
 
2.8%
항공유판매소 1
 
0.1%

Length

2024-04-22T01:31:21.151161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:31:21.335611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주유소 611
56.0%
일반판매소 449
41.1%
용제판매소 31
 
2.8%
항공유판매소 1
 
0.1%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct870
Distinct (%)89.7%
Missing122
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean341844
Minimum203184.11
Maximum391807.44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.7 KiB
2024-04-22T01:31:21.545632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum203184.11
5-th percentile329691.91
Q1338615.2
median341490.17
Q3346657.12
95-th percentile352536.09
Maximum391807.44
Range188623.33
Interquartile range (IQR)8041.9177

Descriptive statistics

Standard deviation8127.7549
Coefficient of variation (CV)0.02377621
Kurtosis89.173508
Mean341844
Median Absolute Deviation (MAD)4269.6454
Skewness-4.7077287
Sum3.3158868 × 108
Variance66060399
MonotonicityNot monotonic
2024-04-22T01:31:21.811388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
347248.566774 4
 
0.4%
334680.92252 3
 
0.3%
347854.324609 3
 
0.3%
327688.824883 3
 
0.3%
337567.015802 3
 
0.3%
346073.344727 3
 
0.3%
328357.519907 3
 
0.3%
337384.428459 3
 
0.3%
329652.700321 3
 
0.3%
342144.34055 3
 
0.3%
Other values (860) 939
86.0%
(Missing) 122
 
11.2%
ValueCountFrequency (%)
203184.108901561 1
0.1%
326243.02949 1
0.1%
326246.351761 1
0.1%
326271.058634 1
0.1%
326362.338089 2
0.2%
326483.159495 1
0.1%
326608.414951 2
0.2%
326611.719469 1
0.1%
326635.578062 1
0.1%
326755.194077 1
0.1%
ValueCountFrequency (%)
391807.440543973 2
0.2%
371369.604037939 1
0.1%
357737.102963 1
0.1%
357162.216672 2
0.2%
356917.028439 1
0.1%
356773.296538 1
0.1%
356747.209298 1
0.1%
356268.873587 1
0.1%
356152.006552 1
0.1%
355913.919953 1
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct870
Distinct (%)89.7%
Missing122
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean262543.65
Minimum191115.91
Maximum444431.87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.7 KiB
2024-04-22T01:31:22.082117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191115.91
5-th percentile248825.77
Q1260417.48
median263462.72
Q3265645.77
95-th percentile270158.15
Maximum444431.87
Range253315.97
Interquartile range (IQR)5228.2842

Descriptive statistics

Standard deviation8910.0882
Coefficient of variation (CV)0.033937549
Kurtosis187.05518
Mean262543.65
Median Absolute Deviation (MAD)2657.323
Skewness7.3540851
Sum2.5466734 × 108
Variance79389671
MonotonicityNot monotonic
2024-04-22T01:31:22.335386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
266643.567788 4
 
0.4%
260470.166553 3
 
0.3%
264894.6281 3
 
0.3%
253249.78418 3
 
0.3%
260644.365197 3
 
0.3%
263472.653305 3
 
0.3%
253581.545752 3
 
0.3%
261115.556251 3
 
0.3%
254123.829515 3
 
0.3%
264798.517346 3
 
0.3%
Other values (860) 939
86.0%
(Missing) 122
 
11.2%
ValueCountFrequency (%)
191115.906424669 2
0.2%
238216.388614 1
0.1%
238774.707824 1
0.1%
240460.074049 1
0.1%
241047.809054 1
0.1%
241430.019424 2
0.2%
241551.038354 1
0.1%
241625.076268 1
0.1%
241677.345192 1
0.1%
241693.318764 1
0.1%
ValueCountFrequency (%)
444431.873863292 1
0.1%
278384.357751 1
0.1%
277983.934021 2
0.2%
277641.785859 1
0.1%
277111.884335 1
0.1%
276888.566775274 1
0.1%
275420.450697 1
0.1%
274597.63562 2
0.2%
274449.282866 1
0.1%
274231.062512 1
0.1%

자본금
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1092
Missing (%)100.0%
Memory size9.7 KiB

거래처
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1092
Missing (%)100.0%
Memory size9.7 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자본금거래처
01석유판매업09_28_08_P3410000199434100460150000119940205<NA>1영업/정상1신규등록<NA><NA><NA><NA>053-255-2010664.0<NA>대구광역시 중구 태평로3가 218-1대구광역시 중구 태평로 120 (태평로3가)<NA>GS태평주유소20210820102731U2021-08-22 02:40:00.0주유소343587.719997265102.317561<NA><NA>
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