Overview

Dataset statistics

Number of variables32
Number of observations10000
Missing cells77788
Missing cells (%)24.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 MiB
Average record size in memory284.0 B

Variable types

Numeric15
Categorical10
Text5
Unsupported1
DateTime1

Dataset

Description22년06월_6270000_대구광역시_08_26_04_P_통신판매업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000093696&dataSetDetailId=DDI_0000093726&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
자산규모 is highly imbalanced (99.9%)Imbalance
부채총액 is highly imbalanced (99.9%)Imbalance
자본금 is highly imbalanced (99.9%)Imbalance
판매방식명 is highly imbalanced (83.7%)Imbalance
인허가취소일자 has 9911 (99.1%) missing valuesMissing
폐업일자 has 7578 (75.8%) missing valuesMissing
휴업시작일자 has 9971 (99.7%) missing valuesMissing
휴업종료일자 has 9971 (99.7%) missing valuesMissing
재개업일자 has 9990 (99.9%) missing valuesMissing
소재지전화 has 5687 (56.9%) missing valuesMissing
소재지면적 has 10000 (100.0%) missing valuesMissing
소재지우편번호 has 8102 (81.0%) missing valuesMissing
소재지전체주소 has 1865 (18.6%) missing valuesMissing
도로명전체주소 has 729 (7.3%) missing valuesMissing
도로명우편번호 has 2364 (23.6%) missing valuesMissing
좌표정보(X) has 810 (8.1%) missing valuesMissing
좌표정보(Y) has 810 (8.1%) missing valuesMissing
소재지우편번호 is highly skewed (γ1 = -41.44228779)Skewed
번호 has unique valuesUnique
관리번호 has unique valuesUnique
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-20 13:47:23.541791
Analysis finished2024-04-20 13:47:26.456933
Duration2.92 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36667.908
Minimum1
Maximum74342
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T22:47:26.640959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3413.45
Q117632.25
median36467.5
Q355103.25
95-th percentile70562.4
Maximum74342
Range74341
Interquartile range (IQR)37471

Descriptive statistics

Standard deviation21520.79
Coefficient of variation (CV)0.58691078
Kurtosis-1.1982819
Mean36667.908
Median Absolute Deviation (MAD)18743
Skewness0.023597155
Sum3.6667908 × 108
Variance4.6314441 × 108
MonotonicityNot monotonic
2024-04-20T22:47:27.079988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
59138 1
 
< 0.1%
23664 1
 
< 0.1%
29791 1
 
< 0.1%
66539 1
 
< 0.1%
51644 1
 
< 0.1%
31773 1
 
< 0.1%
66060 1
 
< 0.1%
4433 1
 
< 0.1%
29093 1
 
< 0.1%
74254 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
12 1
< 0.1%
18 1
< 0.1%
22 1
< 0.1%
32 1
< 0.1%
35 1
< 0.1%
47 1
< 0.1%
48 1
< 0.1%
54 1
< 0.1%
60 1
< 0.1%
ValueCountFrequency (%)
74342 1
< 0.1%
74341 1
< 0.1%
74331 1
< 0.1%
74327 1
< 0.1%
74318 1
< 0.1%
74305 1
< 0.1%
74304 1
< 0.1%
74303 1
< 0.1%
74290 1
< 0.1%
74284 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
통신판매업
10000 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
통신판매업 10000
100.0%

Length

2024-04-20T22:47:27.497778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T22:47:27.727607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
통신판매업 10000
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
08_26_04_P
10000 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row08_26_04_P
2nd row08_26_04_P
3rd row08_26_04_P
4th row08_26_04_P
5th row08_26_04_P

Common Values

ValueCountFrequency (%)
08_26_04_P 10000
100.0%

Length

2024-04-20T22:47:27.888032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T22:47:28.051203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
08_26_04_p 10000
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3446691
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T22:47:28.278748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13420000
median3450000
Q33470000
95-th percentile3480000
Maximum3480000
Range70000
Interquartile range (IQR)50000

Descriptive statistics

Standard deviation22215.082
Coefficient of variation (CV)0.0064453361
Kurtosis-1.1871008
Mean3446691
Median Absolute Deviation (MAD)20000
Skewness-0.28263365
Sum3.446691 × 1010
Variance4.9350987 × 108
MonotonicityNot monotonic
2024-04-20T22:47:28.663718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 1807
18.1%
3450000 1775
17.8%
3460000 1632
16.3%
3420000 1356
13.6%
3410000 1166
11.7%
3480000 789
7.9%
3440000 760
7.6%
3430000 715
 
7.1%
ValueCountFrequency (%)
3410000 1166
11.7%
3420000 1356
13.6%
3430000 715
 
7.1%
3440000 760
7.6%
3450000 1775
17.8%
3460000 1632
16.3%
3470000 1807
18.1%
3480000 789
7.9%
ValueCountFrequency (%)
3480000 789
7.9%
3470000 1807
18.1%
3460000 1632
16.3%
3450000 1775
17.8%
3440000 760
7.6%
3430000 715
 
7.1%
3420000 1356
13.6%
3410000 1166
11.7%

관리번호
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0158119 × 1018
Minimum1.996341 × 1018
Maximum2.022348 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T22:47:29.070649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.996341 × 1018
5-th percentile2.005346 × 1018
Q12.011347 × 1018
median2.017346 × 1018
Q32.020345 × 1018
95-th percentile2.022342 × 1018
Maximum2.022348 × 1018
Range2.6007029 × 1016
Interquartile range (IQR)8.9980043 × 1015

Descriptive statistics

Standard deviation5.3988271 × 1015
Coefficient of variation (CV)0.0026782396
Kurtosis-0.45382955
Mean2.0158119 × 1018
Median Absolute Deviation (MAD)3.9960017 × 1015
Skewness-0.75112333
Sum-4.1724363 × 1018
Variance2.9147334 × 1031
MonotonicityNot monotonic
2024-04-20T22:47:29.533671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2022347018130200756 1
 
< 0.1%
2010344009230200020 1
 
< 0.1%
2016345014230200168 1
 
< 0.1%
2011347011730200153 1
 
< 0.1%
2017346014030200254 1
 
< 0.1%
2015345014230200218 1
 
< 0.1%
2019347018130201047 1
 
< 0.1%
2020341015130200520 1
 
< 0.1%
2007344007330200950 1
 
< 0.1%
2013348031230200029 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1996341007130200006 1
< 0.1%
1996341007130200011 1
< 0.1%
1996341007130200013 1
< 0.1%
1997341007130200040 1
< 0.1%
1998341007130200049 1
< 0.1%
1998341007130200050 1
< 0.1%
1999341007130200087 1
< 0.1%
2000341007130200217 1
< 0.1%
2000341007130200273 1
< 0.1%
2000343000030200345 1
< 0.1%
ValueCountFrequency (%)
2022348036530200506 1
< 0.1%
2022348036530200496 1
< 0.1%
2022348036530200493 1
< 0.1%
2022348036530200477 1
< 0.1%
2022348036530200471 1
< 0.1%
2022348036530200470 1
< 0.1%
2022348036530200468 1
< 0.1%
2022348036530200465 1
< 0.1%
2022348036530200456 1
< 0.1%
2022348036530200439 1
< 0.1%

인허가일자
Real number (ℝ)

Distinct3881
Distinct (%)38.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20153258
Minimum19050629
Maximum20220630
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T22:47:29.893090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19050629
5-th percentile20050921
Q120110622
median20170419
Q320200520
95-th percentile20220113
Maximum20220630
Range1170001
Interquartile range (IQR)89898

Descriptive statistics

Standard deviation55263.726
Coefficient of variation (CV)0.0027421733
Kurtosis15.110046
Mean20153258
Median Absolute Deviation (MAD)39693
Skewness-1.4460296
Sum2.0153258 × 1011
Variance3.0540794 × 109
MonotonicityNot monotonic
2024-04-20T22:47:30.308093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210105 19
 
0.2%
20220104 17
 
0.2%
20210222 15
 
0.1%
20210326 14
 
0.1%
20200914 14
 
0.1%
20210322 13
 
0.1%
20210309 12
 
0.1%
20190227 12
 
0.1%
20210707 11
 
0.1%
20210107 11
 
0.1%
Other values (3871) 9862
98.6%
ValueCountFrequency (%)
19050629 1
< 0.1%
19960909 1
< 0.1%
19961108 1
< 0.1%
19961115 1
< 0.1%
19970801 1
< 0.1%
19980601 1
< 0.1%
19980609 1
< 0.1%
19990927 1
< 0.1%
20000501 1
< 0.1%
20000525 1
< 0.1%
ValueCountFrequency (%)
20220630 3
 
< 0.1%
20220629 4
< 0.1%
20220628 9
0.1%
20220627 4
< 0.1%
20220625 1
 
< 0.1%
20220624 4
< 0.1%
20220623 4
< 0.1%
20220622 3
 
< 0.1%
20220621 5
0.1%
20220620 3
 
< 0.1%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)44.9%
Missing9911
Missing (%)99.1%
Infinite0
Infinite (%)0.0%
Mean20098901
Minimum20070705
Maximum20220310
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T22:47:30.633687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070705
5-th percentile20070920
Q120080618
median20080930
Q320090828
95-th percentile20176724
Maximum20220310
Range149605
Interquartile range (IQR)10210

Descriptive statistics

Standard deviation37080.656
Coefficient of variation (CV)0.0018449097
Kurtosis1.4351126
Mean20098901
Median Absolute Deviation (MAD)9290
Skewness1.5797992
Sum1.7888022 × 109
Variance1.3749751 × 109
MonotonicityNot monotonic
2024-04-20T22:47:31.125087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
20080930 20
 
0.2%
20071008 10
 
0.1%
20081202 6
 
0.1%
20070920 4
 
< 0.1%
20150401 3
 
< 0.1%
20080701 3
 
< 0.1%
20080618 3
 
< 0.1%
20140701 2
 
< 0.1%
20080205 2
 
< 0.1%
20141006 2
 
< 0.1%
Other values (30) 34
 
0.3%
(Missing) 9911
99.1%
ValueCountFrequency (%)
20070705 1
 
< 0.1%
20070820 1
 
< 0.1%
20070920 4
 
< 0.1%
20071008 10
0.1%
20071026 1
 
< 0.1%
20080205 2
 
< 0.1%
20080324 1
 
< 0.1%
20080508 1
 
< 0.1%
20080618 3
 
< 0.1%
20080619 1
 
< 0.1%
ValueCountFrequency (%)
20220310 1
 
< 0.1%
20211201 1
 
< 0.1%
20190710 2
< 0.1%
20180731 1
 
< 0.1%
20170713 1
 
< 0.1%
20170602 1
 
< 0.1%
20151230 1
 
< 0.1%
20151228 1
 
< 0.1%
20150812 1
 
< 0.1%
20150401 3
< 0.1%

영업상태구분코드
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
6353 
3
2470 
4
1159 
2
 
18

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 6353
63.5%
3 2470
 
24.7%
4 1159
 
11.6%
2 18
 
0.2%

Length

2024-04-20T22:47:31.416278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T22:47:31.732686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 6353
63.5%
3 2470
 
24.7%
4 1159
 
11.6%
2 18
 
0.2%

영업상태명
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
영업/정상
6353 
폐업
2470 
취소/말소/만료/정지/중지
1159 
휴업
 
18

Length

Max length14
Median length5
Mean length5.2967
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 6353
63.5%
폐업 2470
 
24.7%
취소/말소/만료/정지/중지 1159
 
11.6%
휴업 18
 
0.2%

Length

2024-04-20T22:47:32.100252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T22:47:32.415281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 6353
63.5%
폐업 2470
 
24.7%
취소/말소/만료/정지/중지 1159
 
11.6%
휴업 18
 
0.2%

상세영업상태코드
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1636
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T22:47:32.674461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.8852561
Coefficient of variation (CV)0.87135148
Kurtosis1.7177271
Mean2.1636
Median Absolute Deviation (MAD)0
Skewness1.6772586
Sum21636
Variance3.5541905
MonotonicityNot monotonic
2024-04-20T22:47:33.168999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 6350
63.5%
3 2470
 
24.7%
7 1062
 
10.6%
4 97
 
1.0%
2 18
 
0.2%
6 3
 
< 0.1%
ValueCountFrequency (%)
1 6350
63.5%
2 18
 
0.2%
3 2470
 
24.7%
4 97
 
1.0%
6 3
 
< 0.1%
7 1062
 
10.6%
ValueCountFrequency (%)
7 1062
 
10.6%
6 3
 
< 0.1%
4 97
 
1.0%
3 2470
 
24.7%
2 18
 
0.2%
1 6350
63.5%

상세영업상태명
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
정상영업
6350 
폐업처리
2470 
직권말소
1062 
직권취소
 
97
휴업처리
 
18

Length

Max length6
Median length4
Mean length4.0006
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row정상영업
2nd row정상영업
3rd row정상영업
4th row폐업처리
5th row폐업처리

Common Values

ValueCountFrequency (%)
정상영업 6350
63.5%
폐업처리 2470
 
24.7%
직권말소 1062
 
10.6%
직권취소 97
 
1.0%
휴업처리 18
 
0.2%
타시군구전입 3
 
< 0.1%

Length

2024-04-20T22:47:33.627273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T22:47:33.992839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상영업 6350
63.5%
폐업처리 2470
 
24.7%
직권말소 1062
 
10.6%
직권취소 97
 
1.0%
휴업처리 18
 
0.2%
타시군구전입 3
 
< 0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct1656
Distinct (%)68.4%
Missing7578
Missing (%)75.8%
Infinite0
Infinite (%)0.0%
Mean20157115
Minimum20060123
Maximum20220629
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T22:47:34.392149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20060123
5-th percentile20080612
Q120111048
median20161226
Q320200922
95-th percentile20220121
Maximum20220629
Range160506
Interquartile range (IQR)89873.5

Descriptive statistics

Standard deviation47432.364
Coefficient of variation (CV)0.0023531325
Kurtosis-1.3584127
Mean20157115
Median Absolute Deviation (MAD)40322
Skewness-0.27456717
Sum4.8820533 × 1010
Variance2.2498291 × 109
MonotonicityNot monotonic
2024-04-20T22:47:34.929991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20211231 12
 
0.1%
20211223 11
 
0.1%
20200928 9
 
0.1%
20220119 8
 
0.1%
20200924 7
 
0.1%
20200929 7
 
0.1%
20090515 7
 
0.1%
20211227 7
 
0.1%
20200121 7
 
0.1%
20100830 6
 
0.1%
Other values (1646) 2341
 
23.4%
(Missing) 7578
75.8%
ValueCountFrequency (%)
20060123 1
< 0.1%
20060411 1
< 0.1%
20070209 1
< 0.1%
20070418 1
< 0.1%
20070501 1
< 0.1%
20070509 1
< 0.1%
20070511 1
< 0.1%
20070523 1
< 0.1%
20070531 1
< 0.1%
20070604 1
< 0.1%
ValueCountFrequency (%)
20220629 1
< 0.1%
20220624 1
< 0.1%
20220622 2
< 0.1%
20220621 1
< 0.1%
20220617 1
< 0.1%
20220613 1
< 0.1%
20220611 2
< 0.1%
20220610 1
< 0.1%
20220607 1
< 0.1%
20220606 1
< 0.1%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)100.0%
Missing9971
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean20159911
Minimum20080627
Maximum20220414
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T22:47:35.370048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080627
5-th percentile20090580
Q120110531
median20160728
Q320210719
95-th percentile20220206
Maximum20220414
Range139787
Interquartile range (IQR)100188

Descriptive statistics

Standard deviation51181.825
Coefficient of variation (CV)0.0025387922
Kurtosis-1.6860128
Mean20159911
Median Absolute Deviation (MAD)50197
Skewness-0.14122384
Sum5.8463743 × 108
Variance2.6195792 × 109
MonotonicityNot monotonic
2024-04-20T22:47:35.819222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
20210104 1
 
< 0.1%
20220208 1
 
< 0.1%
20140122 1
 
< 0.1%
20090427 1
 
< 0.1%
20211217 1
 
< 0.1%
20211230 1
 
< 0.1%
20160127 1
 
< 0.1%
20130112 1
 
< 0.1%
20200921 1
 
< 0.1%
20120417 1
 
< 0.1%
Other values (19) 19
 
0.2%
(Missing) 9971
99.7%
ValueCountFrequency (%)
20080627 1
< 0.1%
20090427 1
< 0.1%
20090810 1
< 0.1%
20091119 1
< 0.1%
20100816 1
< 0.1%
20101203 1
< 0.1%
20110316 1
< 0.1%
20110531 1
< 0.1%
20111227 1
< 0.1%
20120417 1
< 0.1%
ValueCountFrequency (%)
20220414 1
< 0.1%
20220208 1
< 0.1%
20220204 1
< 0.1%
20220125 1
< 0.1%
20220122 1
< 0.1%
20211230 1
< 0.1%
20211217 1
< 0.1%
20210719 1
< 0.1%
20210531 1
< 0.1%
20210104 1
< 0.1%

휴업종료일자
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)89.7%
Missing9971
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean20172619
Minimum20080728
Maximum20351002
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T22:47:36.266774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080728
5-th percentile20091231
Q120120531
median20170727
Q320221228
95-th percentile20230893
Maximum20351002
Range270274
Interquartile range (IQR)100697

Descriptive statistics

Standard deviation61701.703
Coefficient of variation (CV)0.0030586858
Kurtosis0.7132028
Mean20172619
Median Absolute Deviation (MAD)50501
Skewness0.60159442
Sum5.8500596 × 108
Variance3.8071001 × 109
MonotonicityNot monotonic
2024-04-20T22:47:36.694327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
20221231 3
 
< 0.1%
20091231 2
 
< 0.1%
20230414 1
 
< 0.1%
20150121 1
 
< 0.1%
20221217 1
 
< 0.1%
20231201 1
 
< 0.1%
20161031 1
 
< 0.1%
20131231 1
 
< 0.1%
20210920 1
 
< 0.1%
20151231 1
 
< 0.1%
Other values (16) 16
 
0.2%
(Missing) 9971
99.7%
ValueCountFrequency (%)
20080728 1
< 0.1%
20091231 2
< 0.1%
20100501 1
< 0.1%
20110228 1
< 0.1%
20110817 1
< 0.1%
20111028 1
< 0.1%
20120531 1
< 0.1%
20121231 1
< 0.1%
20131231 1
< 0.1%
20140617 1
< 0.1%
ValueCountFrequency (%)
20351002 1
 
< 0.1%
20231201 1
 
< 0.1%
20230430 1
 
< 0.1%
20230414 1
 
< 0.1%
20221231 3
< 0.1%
20221228 1
 
< 0.1%
20221217 1
 
< 0.1%
20211231 1
 
< 0.1%
20210920 1
 
< 0.1%
20210704 1
 
< 0.1%

재개업일자
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)100.0%
Missing9990
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean20123590
Minimum20080128
Maximum20220513
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T22:47:37.125393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080128
5-th percentile20080261
Q120080426
median20080764
Q320185486
95-th percentile20216284
Maximum20220513
Range140385
Interquartile range (IQR)105060.25

Descriptive statistics

Standard deviation63139.198
Coefficient of variation (CV)0.0031375713
Kurtosis-1.2600596
Mean20123590
Median Absolute Deviation (MAD)488
Skewness0.96600251
Sum2.012359 × 108
Variance3.9865583 × 109
MonotonicityNot monotonic
2024-04-20T22:47:37.494288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
20080425 1
 
< 0.1%
20211116 1
 
< 0.1%
20080507 1
 
< 0.1%
20111028 1
 
< 0.1%
20080423 1
 
< 0.1%
20080128 1
 
< 0.1%
20081020 1
 
< 0.1%
20220513 1
 
< 0.1%
20080430 1
 
< 0.1%
20210306 1
 
< 0.1%
(Missing) 9990
99.9%
ValueCountFrequency (%)
20080128 1
< 0.1%
20080423 1
< 0.1%
20080425 1
< 0.1%
20080430 1
< 0.1%
20080507 1
< 0.1%
20081020 1
< 0.1%
20111028 1
< 0.1%
20210306 1
< 0.1%
20211116 1
< 0.1%
20220513 1
< 0.1%
ValueCountFrequency (%)
20220513 1
< 0.1%
20211116 1
< 0.1%
20210306 1
< 0.1%
20111028 1
< 0.1%
20081020 1
< 0.1%
20080507 1
< 0.1%
20080430 1
< 0.1%
20080425 1
< 0.1%
20080423 1
< 0.1%
20080128 1
< 0.1%

소재지전화
Text

MISSING 

Distinct4031
Distinct (%)93.5%
Missing5687
Missing (%)56.9%
Memory size156.2 KiB
2024-04-20T22:47:38.556918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12
Mean length11.191282
Min length1

Characters and Unicode

Total characters48268
Distinct characters18
Distinct categories7 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3990 ?
Unique (%)92.5%

Sample

1st row0534253051
2nd row053 655 4101
3rd row053-326-8889
4th row053 743 251
5th row053-214-3113
ValueCountFrequency (%)
053 991
 
15.9%
152
 
2.4%
070 59
 
0.9%
255 33
 
0.5%
425 24
 
0.4%
256 24
 
0.4%
254 23
 
0.4%
424 22
 
0.4%
422 21
 
0.3%
253 20
 
0.3%
Other values (4223) 4877
78.1%
2024-04-20T22:47:39.826921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 7045
14.6%
5 7040
14.6%
3 5862
12.1%
- 5437
11.3%
2 3576
7.4%
7 3540
7.3%
6 3059
6.3%
4 2993
6.2%
1 2797
 
5.8%
8 2666
 
5.5%
Other values (8) 4253
8.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 40734
84.4%
Dash Punctuation 5437
 
11.3%
Space Separator 1939
 
4.0%
Other Punctuation 134
 
0.3%
Close Punctuation 16
 
< 0.1%
Math Symbol 6
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7045
17.3%
5 7040
17.3%
3 5862
14.4%
2 3576
8.8%
7 3540
8.7%
6 3059
7.5%
4 2993
7.3%
1 2797
 
6.9%
8 2666
 
6.5%
9 2156
 
5.3%
Other Punctuation
ValueCountFrequency (%)
. 127
94.8%
, 6
 
4.5%
/ 1
 
0.7%
Dash Punctuation
ValueCountFrequency (%)
- 5437
100.0%
Space Separator
ValueCountFrequency (%)
1939
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 48268
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7045
14.6%
5 7040
14.6%
3 5862
12.1%
- 5437
11.3%
2 3576
7.4%
7 3540
7.3%
6 3059
6.3%
4 2993
6.2%
1 2797
 
5.8%
8 2666
 
5.5%
Other values (8) 4253
8.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 48268
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7045
14.6%
5 7040
14.6%
3 5862
12.1%
- 5437
11.3%
2 3576
7.4%
7 3540
7.3%
6 3059
6.3%
4 2993
6.2%
1 2797
 
5.8%
8 2666
 
5.5%
Other values (8) 4253
8.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

소재지우편번호
Real number (ℝ)

MISSING  SKEWED 

Distinct596
Distinct (%)31.4%
Missing8102
Missing (%)81.0%
Infinite0
Infinite (%)0.0%
Mean703665.07
Minimum110122
Maximum711891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T22:47:40.246429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum110122
5-th percentile700429.1
Q1702040
median704130
Q3705701
95-th percentile706860.4
Maximum711891
Range601769
Interquartile range (IQR)3661

Descriptive statistics

Standard deviation13859.241
Coefficient of variation (CV)0.019695792
Kurtosis1775.9252
Mean703665.07
Median Absolute Deviation (MAD)1880
Skewness-41.442288
Sum1.3355563 × 109
Variance1.9207856 × 108
MonotonicityNot monotonic
2024-04-20T22:47:40.695602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
705030 112
 
1.1%
702010 66
 
0.7%
705020 46
 
0.5%
706010 24
 
0.2%
706090 23
 
0.2%
700440 22
 
0.2%
704340 21
 
0.2%
704370 20
 
0.2%
701020 19
 
0.2%
702260 19
 
0.2%
Other values (586) 1526
 
15.3%
(Missing) 8102
81.0%
ValueCountFrequency (%)
110122 1
< 0.1%
700010 1
< 0.1%
700020 1
< 0.1%
700060 2
< 0.1%
700070 2
< 0.1%
700081 1
< 0.1%
700082 1
< 0.1%
700091 1
< 0.1%
700092 1
< 0.1%
700093 1
< 0.1%
ValueCountFrequency (%)
711891 1
 
< 0.1%
711881 1
 
< 0.1%
711871 1
 
< 0.1%
711865 2
< 0.1%
711862 2
< 0.1%
711861 2
< 0.1%
711857 4
< 0.1%
711856 2
< 0.1%
711850 1
 
< 0.1%
711845 2
< 0.1%

소재지전체주소
Text

MISSING 

Distinct4419
Distinct (%)54.3%
Missing1865
Missing (%)18.6%
Memory size156.2 KiB
2024-04-20T22:47:41.956097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length46
Mean length25.908175
Min length7

Characters and Unicode

Total characters210763
Distinct characters493
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

Unique3167 ?
Unique (%)38.9%

Sample

1st row대구광역시 달서구 유천동 *** 진천역 AK그랑폴리스
2nd row대구광역시 동구 신천동 ***번지 *호 *층
3rd row대구광역시 달성군 화원읍 천내리 ***번지 화원이진캐스빌
4th row대구광역시 달서구 두류동 ****-**
5th row대구광역시 북구 국우동 ****번지 **호
ValueCountFrequency (%)
대구광역시 8013
18.2%
호 4880
 
11.1%
번지 4871
 
11.1%
3273
 
7.4%
북구 1444
 
3.3%
달서구 1378
 
3.1%
수성구 1272
 
2.9%
동구 1090
 
2.5%
중구 932
 
2.1%
동 778
 
1.8%
Other values (2265) 16128
36.6%
2024-04-20T22:47:43.463468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 44586
21.2%
37496
17.8%
구 15920
 
7.6%
동 9847
 
4.7%
대 9391
 
4.5%
시 8383
 
4.0%
역 8134
 
3.9%
광 8062
 
3.8%
지 5688
 
2.7%
호 5161
 
2.4%
Other values (483) 58095
27.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 125689
59.6%
Other Punctuation 44762
 
21.2%
Space Separator 37496
 
17.8%
Dash Punctuation 2376
 
1.1%
Uppercase Letter 294
 
0.1%
Lowercase Letter 69
 
< 0.1%
Open Punctuation 38
 
< 0.1%
Close Punctuation 37
 
< 0.1%
Other Symbol 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 15920
 
12.7%
동 9847
 
7.8%
대 9391
 
7.5%
시 8383
 
6.7%
역 8134
 
6.5%
광 8062
 
6.4%
지 5688
 
4.5%
호 5161
 
4.1%
번 4892
 
3.9%
성 3106
 
2.5%
Other values (436) 47105
37.5%
Uppercase Letter
ValueCountFrequency (%)
A 56
19.0%
B 34
11.6%
S 29
9.9%
H 25
8.5%
L 25
8.5%
T 20
 
6.8%
K 15
 
5.1%
D 12
 
4.1%
C 11
 
3.7%
M 10
 
3.4%
Other values (14) 57
19.4%
Lowercase Letter
ValueCountFrequency (%)
e 53
76.8%
b 4
 
5.8%
a 3
 
4.3%
c 2
 
2.9%
s 2
 
2.9%
d 1
 
1.4%
m 1
 
1.4%
k 1
 
1.4%
i 1
 
1.4%
n 1
 
1.4%
Other Punctuation
ValueCountFrequency (%)
* 44586
99.6%
/ 91
 
0.2%
, 57
 
0.1%
. 20
 
< 0.1%
· 4
 
< 0.1%
@ 3
 
< 0.1%
# 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
37496
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2376
100.0%
Open Punctuation
ValueCountFrequency (%)
( 38
100.0%
Close Punctuation
ValueCountFrequency (%)
) 37
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 125690
59.6%
Common 84710
40.2%
Latin 363
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 15920
 
12.7%
동 9847
 
7.8%
대 9391
 
7.5%
시 8383
 
6.7%
역 8134
 
6.5%
광 8062
 
6.4%
지 5688
 
4.5%
호 5161
 
4.1%
번 4892
 
3.9%
성 3106
 
2.5%
Other values (437) 47106
37.5%
Latin
ValueCountFrequency (%)
A 56
15.4%
e 53
14.6%
B 34
9.4%
S 29
 
8.0%
H 25
 
6.9%
L 25
 
6.9%
T 20
 
5.5%
K 15
 
4.1%
D 12
 
3.3%
C 11
 
3.0%
Other values (24) 83
22.9%
Common
ValueCountFrequency (%)
* 44586
52.6%
37496
44.3%
- 2376
 
2.8%
/ 91
 
0.1%
, 57
 
0.1%
( 38
 
< 0.1%
) 37
 
< 0.1%
. 20
 
< 0.1%
· 4
 
< 0.1%
@ 3
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 125689
59.6%
ASCII 85069
40.4%
None 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 44586
52.4%
37496
44.1%
- 2376
 
2.8%
/ 91
 
0.1%
, 57
 
0.1%
A 56
 
0.1%
e 53
 
0.1%
( 38
 
< 0.1%
) 37
 
< 0.1%
B 34
 
< 0.1%
Other values (35) 245
 
0.3%
Hangul
ValueCountFrequency (%)
구 15920
 
12.7%
동 9847
 
7.8%
대 9391
 
7.5%
시 8383
 
6.7%
역 8134
 
6.5%
광 8062
 
6.4%
지 5688
 
4.5%
호 5161
 
4.1%
번 4892
 
3.9%
성 3106
 
2.5%
Other values (436) 47105
37.5%
None
ValueCountFrequency (%)
· 4
80.0%
㈜ 1
 
20.0%

도로명전체주소
Text

MISSING 

Distinct7030
Distinct (%)75.8%
Missing729
Missing (%)7.3%
Memory size156.2 KiB
2024-04-20T22:47:44.678324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length52
Mean length34.020494
Min length14

Characters and Unicode

Total characters315404
Distinct characters542
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5681 ?
Unique (%)61.3%

Sample

1st row대구광역시 달서구 월배로**길 **, ***동 ***호 (유천동, 진천역 AK그랑폴리스)
2nd row대구광역시 동구 동부로**길 **-* (신천동,*층)
3rd row대구광역시 달성군 화원읍 비슬로 ****, ***동 ****호 (화원이진캐스빌)
4th row대구광역시 달성군 유가읍 테크노중앙대로*길 *-**, ***호
5th row대구광역시 북구 구리로**길 ** (국우동)
ValueCountFrequency (%)
대구광역시 9271
 
15.3%
9194
 
15.2%
호 4624
 
7.6%
동 2692
 
4.4%
층 2105
 
3.5%
달서구 1706
 
2.8%
북구 1675
 
2.8%
수성구 1479
 
2.4%
동구 1264
 
2.1%
중구 955
 
1.6%
Other values (3917) 25659
42.3%
2024-04-20T22:47:46.361261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 59444
18.8%
51379
16.3%
구 19278
 
6.1%
동 14428
 
4.6%
대 12363
 
3.9%
시 9810
 
3.1%
, 9535
 
3.0%
역 9484
 
3.0%
광 9338
 
3.0%
로 9032
 
2.9%
Other values (532) 111313
35.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 174328
55.3%
Other Punctuation 69007
 
21.9%
Space Separator 51379
 
16.3%
Close Punctuation 8943
 
2.8%
Open Punctuation 8939
 
2.8%
Dash Punctuation 2163
 
0.7%
Uppercase Letter 533
 
0.2%
Lowercase Letter 109
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 19278
 
11.1%
동 14428
 
8.3%
대 12363
 
7.1%
시 9810
 
5.6%
역 9484
 
5.4%
광 9338
 
5.4%
로 9032
 
5.2%
호 5207
 
3.0%
길 5042
 
2.9%
성 4419
 
2.5%
Other values (480) 75927
43.6%
Uppercase Letter
ValueCountFrequency (%)
A 107
20.1%
B 86
16.1%
S 41
 
7.7%
C 39
 
7.3%
H 37
 
6.9%
L 34
 
6.4%
K 29
 
5.4%
T 26
 
4.9%
D 21
 
3.9%
M 19
 
3.6%
Other values (15) 94
17.6%
Lowercase Letter
ValueCountFrequency (%)
e 74
67.9%
c 6
 
5.5%
a 5
 
4.6%
b 5
 
4.6%
t 3
 
2.8%
i 3
 
2.8%
m 2
 
1.8%
w 2
 
1.8%
s 2
 
1.8%
d 1
 
0.9%
Other values (6) 6
 
5.5%
Other Punctuation
ValueCountFrequency (%)
* 59444
86.1%
, 9535
 
13.8%
/ 11
 
< 0.1%
. 9
 
< 0.1%
· 7
 
< 0.1%
& 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
51379
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8943
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8939
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2163
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 174327
55.3%
Common 140434
44.5%
Latin 642
 
0.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 19278
 
11.1%
동 14428
 
8.3%
대 12363
 
7.1%
시 9810
 
5.6%
역 9484
 
5.4%
광 9338
 
5.4%
로 9032
 
5.2%
호 5207
 
3.0%
길 5042
 
2.9%
성 4419
 
2.5%
Other values (479) 75926
43.6%
Latin
ValueCountFrequency (%)
A 107
16.7%
B 86
13.4%
e 74
11.5%
S 41
 
6.4%
C 39
 
6.1%
H 37
 
5.8%
L 34
 
5.3%
K 29
 
4.5%
T 26
 
4.0%
D 21
 
3.3%
Other values (31) 148
23.1%
Common
ValueCountFrequency (%)
* 59444
42.3%
51379
36.6%
, 9535
 
6.8%
) 8943
 
6.4%
( 8939
 
6.4%
- 2163
 
1.5%
/ 11
 
< 0.1%
. 9
 
< 0.1%
· 7
 
< 0.1%
~ 3
 
< 0.1%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 174326
55.3%
ASCII 141069
44.7%
None 7
 
< 0.1%
CJK 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 59444
42.1%
51379
36.4%
, 9535
 
6.8%
) 8943
 
6.3%
( 8939
 
6.3%
- 2163
 
1.5%
A 107
 
0.1%
B 86
 
0.1%
e 74
 
0.1%
S 41
 
< 0.1%
Other values (41) 358
 
0.3%
Hangul
ValueCountFrequency (%)
구 19278
 
11.1%
동 14428
 
8.3%
대 12363
 
7.1%
시 9810
 
5.6%
역 9484
 
5.4%
광 9338
 
5.4%
로 9032
 
5.2%
호 5207
 
3.0%
길 5042
 
2.9%
성 4419
 
2.5%
Other values (478) 75925
43.6%
None
ValueCountFrequency (%)
· 7
100.0%
CJK
ValueCountFrequency (%)
內 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅡ 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct2004
Distinct (%)26.2%
Missing2364
Missing (%)23.6%
Infinite0
Infinite (%)0.0%
Mean170461.78
Minimum41000
Maximum711891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T22:47:46.705807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41000
5-th percentile41112.75
Q141587.75
median42239
Q342929.25
95-th percentile705815
Maximum711891
Range670891
Interquartile range (IQR)1341.5

Descriptive statistics

Standard deviation261810.96
Coefficient of variation (CV)1.5358924
Kurtosis0.39797819
Mean170461.78
Median Absolute Deviation (MAD)674
Skewness1.548457
Sum1.3016462 × 109
Variance6.8544979 × 1010
MonotonicityNot monotonic
2024-04-20T22:47:47.191035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41926 55
 
0.5%
41942 33
 
0.3%
42974 33
 
0.3%
43016 28
 
0.3%
42922 28
 
0.3%
41518 26
 
0.3%
41940 26
 
0.3%
43019 25
 
0.2%
41910 25
 
0.2%
43008 25
 
0.2%
Other values (1994) 7332
73.3%
(Missing) 2364
 
23.6%
ValueCountFrequency (%)
41000 2
 
< 0.1%
41001 5
0.1%
41002 3
< 0.1%
41003 6
0.1%
41005 7
0.1%
41006 1
 
< 0.1%
41007 1
 
< 0.1%
41009 5
0.1%
41010 2
 
< 0.1%
41015 1
 
< 0.1%
ValueCountFrequency (%)
711891 1
< 0.1%
711890 1
< 0.1%
711865 1
< 0.1%
711864 1
< 0.1%
711863 2
< 0.1%
711860 1
< 0.1%
711856 2
< 0.1%
711852 1
< 0.1%
711851 1
< 0.1%
711845 1
< 0.1%

사업장명
Text

Distinct9821
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-20T22:47:49.229655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length34
Mean length6.4611
Min length1

Characters and Unicode

Total characters64611
Distinct characters1106
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9656 ?
Unique (%)96.6%

Sample

1st row윌로우
2nd row(주)인터팍스
3rd row후후 스토리(huhu story)
4th row서대구꽃백화점
5th row쭈#
ValueCountFrequency (%)
주식회사 432
 
3.5%
주 56
 
0.5%
컴퍼니 28
 
0.2%
더 26
 
0.2%
company 24
 
0.2%
shop 13
 
0.1%
korea 13
 
0.1%
인터내셔널 11
 
0.1%
10
 
0.1%
농업회사법인 10
 
0.1%
Other values (10905) 11710
94.9%
2024-04-20T22:47:51.524113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2336
 
3.6%
이 2093
 
3.2%
( 1747
 
2.7%
) 1746
 
2.7%
스 1679
 
2.6%
리 986
 
1.5%
사 968
 
1.5%
주 916
 
1.4%
아 863
 
1.3%
e 696
 
1.1%
Other values (1096) 50581
78.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 47018
72.8%
Lowercase Letter 6308
 
9.8%
Uppercase Letter 4387
 
6.8%
Space Separator 2336
 
3.6%
Open Punctuation 1749
 
2.7%
Close Punctuation 1748
 
2.7%
Decimal Number 586
 
0.9%
Other Punctuation 328
 
0.5%
Other Symbol 77
 
0.1%
Dash Punctuation 54
 
0.1%
Other values (3) 20
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 2093
 
4.5%
스 1679
 
3.6%
리 986
 
2.1%
사 968
 
2.1%
주 916
 
1.9%
아 863
 
1.8%
라 625
 
1.3%
드 598
 
1.3%
트 582
 
1.2%
에 579
 
1.2%
Other values (1009) 37129
79.0%
Lowercase Letter
ValueCountFrequency (%)
e 696
 
11.0%
o 695
 
11.0%
a 559
 
8.9%
n 466
 
7.4%
i 454
 
7.2%
l 392
 
6.2%
r 338
 
5.4%
t 335
 
5.3%
s 316
 
5.0%
m 292
 
4.6%
Other values (16) 1765
28.0%
Uppercase Letter
ValueCountFrequency (%)
O 342
 
7.8%
A 330
 
7.5%
S 290
 
6.6%
E 284
 
6.5%
M 238
 
5.4%
T 234
 
5.3%
N 230
 
5.2%
C 225
 
5.1%
I 224
 
5.1%
L 223
 
5.1%
Other values (16) 1767
40.3%
Other Punctuation
ValueCountFrequency (%)
. 160
48.8%
& 68
20.7%
, 41
 
12.5%
' 26
 
7.9%
: 10
 
3.0%
# 8
 
2.4%
/ 6
 
1.8%
· 2
 
0.6%
＆ 2
 
0.6%
% 2
 
0.6%
Other values (2) 3
 
0.9%
Decimal Number
ValueCountFrequency (%)
4 116
19.8%
1 86
14.7%
0 79
13.5%
2 78
13.3%
3 56
9.6%
9 45
 
7.7%
5 44
 
7.5%
7 33
 
5.6%
6 28
 
4.8%
8 21
 
3.6%
Open Punctuation
ValueCountFrequency (%)
( 1747
99.9%
[ 1
 
0.1%
［ 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1746
99.9%
] 1
 
0.1%
］ 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 1
50.0%
+ 1
50.0%
Space Separator
ValueCountFrequency (%)
2336
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 77
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 17
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 47091
72.9%
Latin 10695
 
16.6%
Common 6821
 
10.6%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 2093
 
4.4%
스 1679
 
3.6%
리 986
 
2.1%
사 968
 
2.1%
주 916
 
1.9%
아 863
 
1.8%
라 625
 
1.3%
드 598
 
1.3%
트 582
 
1.2%
에 579
 
1.2%
Other values (1006) 37202
79.0%
Latin
ValueCountFrequency (%)
e 696
 
6.5%
o 695
 
6.5%
a 559
 
5.2%
n 466
 
4.4%
i 454
 
4.2%
l 392
 
3.7%
O 342
 
3.2%
r 338
 
3.2%
t 335
 
3.1%
A 330
 
3.1%
Other values (42) 6088
56.9%
Common
ValueCountFrequency (%)
2336
34.2%
( 1747
25.6%
) 1746
25.6%
. 160
 
2.3%
4 116
 
1.7%
1 86
 
1.3%
0 79
 
1.2%
2 78
 
1.1%
& 68
 
1.0%
3 56
 
0.8%
Other values (24) 349
 
5.1%
Han
ValueCountFrequency (%)
林 1
25.0%
瑞 1
25.0%
家 1
25.0%
米 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 47014
72.8%
ASCII 17509
 
27.1%
None 83
 
0.1%
CJK 4
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2336
 
13.3%
( 1747
 
10.0%
) 1746
 
10.0%
e 696
 
4.0%
o 695
 
4.0%
a 559
 
3.2%
n 466
 
2.7%
i 454
 
2.6%
l 392
 
2.2%
O 342
 
2.0%
Other values (71) 8076
46.1%
Hangul
ValueCountFrequency (%)
이 2093
 
4.5%
스 1679
 
3.6%
리 986
 
2.1%
사 968
 
2.1%
주 916
 
1.9%
아 863
 
1.8%
라 625
 
1.3%
드 598
 
1.3%
트 582
 
1.2%
에 579
 
1.2%
Other values (1005) 37125
79.0%
None
ValueCountFrequency (%)
㈜ 77
92.8%
· 2
 
2.4%
＆ 2
 
2.4%
［ 1
 
1.2%
］ 1
 
1.2%
CJK
ValueCountFrequency (%)
林 1
25.0%
瑞 1
25.0%
家 1
25.0%
米 1
25.0%
Punctuation
ValueCountFrequency (%)
‘ 1
100.0%

최종수정시점
Real number (ℝ)

Distinct9919
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0172578 × 1013
Minimum2.0070703 × 1013
Maximum2.022063 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T22:47:51.792949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0070703 × 1013
5-th percentile2.009031 × 1013
Q12.0140904 × 1013
median2.0190313 × 1013
Q32.021012 × 1013
95-th percentile2.022031 × 1013
Maximum2.022063 × 1013
Range1.4992699 × 1011
Interquartile range (IQR)6.921599 × 1010

Descriptive statistics

Standard deviation4.204997 × 1010
Coefficient of variation (CV)0.0020845114
Kurtosis-0.59726439
Mean2.0172578 × 1013
Median Absolute Deviation (MAD)2.0517999 × 1010
Skewness-0.80752661
Sum2.0172578 × 1017
Variance1.7681999 × 1021
MonotonicityNot monotonic
2024-04-20T22:47:52.054257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20080223000000 82
 
0.8%
20120330100804 1
 
< 0.1%
20191010161630 1
 
< 0.1%
20210120100744 1
 
< 0.1%
20200826143538 1
 
< 0.1%
20160610094406 1
 
< 0.1%
20181211145226 1
 
< 0.1%
20200302133616 1
 
< 0.1%
20080829162155 1
 
< 0.1%
20211013152300 1
 
< 0.1%
Other values (9909) 9909
99.1%
ValueCountFrequency (%)
20070703171311 1
< 0.1%
20070713171631 1
< 0.1%
20070716115306 1
< 0.1%
20070731141301 1
< 0.1%
20070803174453 1
< 0.1%
20070807112034 1
< 0.1%
20070808165125 1
< 0.1%
20070813113335 1
< 0.1%
20070814094609 1
< 0.1%
20070816131643 1
< 0.1%
ValueCountFrequency (%)
20220630160050 1
< 0.1%
20220630141133 1
< 0.1%
20220630140239 1
< 0.1%
20220630113246 1
< 0.1%
20220630105148 1
< 0.1%
20220629180410 1
< 0.1%
20220629180015 1
< 0.1%
20220629142231 1
< 0.1%
20220629131541 1
< 0.1%
20220629100832 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
I
8082 
U
1918 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 8082
80.8%
U 1918
 
19.2%

Length

2024-04-20T22:47:52.391913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T22:47:52.694458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 8082
80.8%
u 1918
 
19.2%

데이터갱신일자
Date

Distinct1581
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-08-31 23:59:59
Maximum2022-07-02 02:40:00
2024-04-20T22:47:52.901870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-20T22:47:53.157555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Text

Distinct365
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-20T22:47:53.689704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length87
Median length84
Mean length8.1286
Min length1

Characters and Unicode

Total characters81286
Distinct characters51
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

Unique214 ?
Unique (%)2.1%

Sample

1st row의류/패션/잡화/뷰티
2nd row가전 가구/수납용품 의류/패션/잡화/뷰티
3rd row의류/패션/잡화/뷰티
4th row-
5th row의류/패션/잡화/뷰티
ValueCountFrequency (%)
의류/패션/잡화/뷰티 3810
30.4%
기타 2475
19.7%
종합몰 2269
18.1%
건강/식품 1208
 
9.6%
교육/도서/완구/오락 547
 
4.4%
컴퓨터/사무용품 454
 
3.6%
가구/수납용품 360
 
2.9%
350
 
2.8%
가전 334
 
2.7%
자동차/자동차용품 327
 
2.6%
Other values (3) 409
 
3.3%
2024-04-20T22:47:54.687083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 16058
19.8%
의 3810
 
4.7%
화 3810
 
4.7%
티 3810
 
4.7%
뷰 3810
 
4.7%
류 3810
 
4.7%
잡 3810
 
4.7%
션 3810
 
4.7%
패 3810
 
4.7%
2543
 
3.1%
Other values (41) 32205
39.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 62335
76.7%
Other Punctuation 16058
 
19.8%
Space Separator 2543
 
3.1%
Dash Punctuation 350
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 3810
 
6.1%
화 3810
 
6.1%
티 3810
 
6.1%
뷰 3810
 
6.1%
류 3810
 
6.1%
잡 3810
 
6.1%
션 3810
 
6.1%
패 3810
 
6.1%
기 2475
 
4.0%
타 2475
 
4.0%
Other values (38) 26905
43.2%
Other Punctuation
ValueCountFrequency (%)
/ 16058
100.0%
Space Separator
ValueCountFrequency (%)
2543
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 350
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 62335
76.7%
Common 18951
 
23.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 3810
 
6.1%
화 3810
 
6.1%
티 3810
 
6.1%
뷰 3810
 
6.1%
류 3810
 
6.1%
잡 3810
 
6.1%
션 3810
 
6.1%
패 3810
 
6.1%
기 2475
 
4.0%
타 2475
 
4.0%
Other values (38) 26905
43.2%
Common
ValueCountFrequency (%)
/ 16058
84.7%
2543
 
13.4%
- 350
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 62335
76.7%
ASCII 18951
 
23.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 16058
84.7%
2543
 
13.4%
- 350
 
1.8%
Hangul
ValueCountFrequency (%)
의 3810
 
6.1%
화 3810
 
6.1%
티 3810
 
6.1%
뷰 3810
 
6.1%
류 3810
 
6.1%
잡 3810
 
6.1%
션 3810
 
6.1%
패 3810
 
6.1%
기 2475
 
4.0%
타 2475
 
4.0%
Other values (38) 26905
43.2%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct6727
Distinct (%)73.2%
Missing810
Missing (%)8.1%
Infinite0
Infinite (%)0.0%
Mean342981.74
Minimum323587.9
Maximum358354.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T22:47:55.201731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum323587.9
5-th percentile333421.77
Q1339591.36
median343277.03
Q3346233.22
95-th percentile353561.12
Maximum358354.1
Range34766.2
Interquartile range (IQR)6641.8538

Descriptive statistics

Standard deviation5457.2711
Coefficient of variation (CV)0.015911258
Kurtosis0.33365176
Mean342981.74
Median Absolute Deviation (MAD)3361.4984
Skewness-0.00039040614
Sum3.1520022 × 109
Variance29781808
MonotonicityNot monotonic
2024-04-20T22:47:55.657354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
344912.358902 37
 
0.4%
344997.585301 36
 
0.4%
342582.197988 23
 
0.2%
344686.259338 22
 
0.2%
347950.194975 21
 
0.2%
344879.421494 17
 
0.2%
344059.579832 17
 
0.2%
333525.590022 14
 
0.1%
342632.844135 13
 
0.1%
340868.858239 13
 
0.1%
Other values (6717) 8977
89.8%
(Missing) 810
 
8.1%
ValueCountFrequency (%)
323587.895472 1
< 0.1%
326125.700341 1
< 0.1%
326142.44025 1
< 0.1%
326313.396592 1
< 0.1%
326384.620757 1
< 0.1%
326429.504673 1
< 0.1%
326499.333064 1
< 0.1%
326614.170037 1
< 0.1%
326786.524679 1
< 0.1%
326874.570932 1
< 0.1%
ValueCountFrequency (%)
358354.095232 1
 
< 0.1%
358228.205269 1
 
< 0.1%
358213.056494 2
< 0.1%
358199.771938 2
< 0.1%
358076.660234 1
 
< 0.1%
358060.647419 4
< 0.1%
358051.0 1
 
< 0.1%
358041.770425 1
 
< 0.1%
357975.880928 1
 
< 0.1%
357908.12325 1
 
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct6724
Distinct (%)73.2%
Missing810
Missing (%)8.1%
Infinite0
Infinite (%)0.0%
Mean263415.18
Minimum236938.72
Maximum278226.87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T22:47:56.089848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum236938.72
5-th percentile257305.94
Q1261318.7
median263677.39
Q3265589.56
95-th percentile271125.68
Maximum278226.87
Range41288.147
Interquartile range (IQR)4270.864

Descriptive statistics

Standard deviation4658.7837
Coefficient of variation (CV)0.017686087
Kurtosis5.3234831
Mean263415.18
Median Absolute Deviation (MAD)2188.5621
Skewness-1.2573379
Sum2.4207855 × 109
Variance21704266
MonotonicityNot monotonic
2024-04-20T22:47:56.511765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
268253.830253 37
 
0.4%
268604.350566 36
 
0.4%
264326.558135 23
 
0.2%
263958.880864 22
 
0.2%
265687.62574 21
 
0.2%
264105.413124 20
 
0.2%
265913.776245 17
 
0.2%
268476.874903 17
 
0.2%
264746.195296 14
 
0.1%
262643.902173 13
 
0.1%
Other values (6714) 8970
89.7%
(Missing) 810
 
8.1%
ValueCountFrequency (%)
236938.720848 1
< 0.1%
238027.789908 1
< 0.1%
238659.015174 1
< 0.1%
238769.812522 1
< 0.1%
238803.951945 1
< 0.1%
238825.110004 1
< 0.1%
238877.774756 1
< 0.1%
238893.829912 1
< 0.1%
239327.14724 1
< 0.1%
239903.040504 2
< 0.1%
ValueCountFrequency (%)
278226.867388 1
< 0.1%
278042.64925 1
< 0.1%
278003.127671 1
< 0.1%
277749.024029 2
< 0.1%
277673.246368 1
< 0.1%
277541.768688 1
< 0.1%
277489.106534 1
< 0.1%
277240.104743 1
< 0.1%
276811.276708 1
< 0.1%
276596.005371 1
< 0.1%

자산규모
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9999 
<NA>
 
1

Length

Max length4
Median length1
Mean length1.0003
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9999
> 99.9%
<NA> 1
 
< 0.1%

Length

2024-04-20T22:47:56.898643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T22:47:57.211005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9999
> 99.9%
na 1
 
< 0.1%

부채총액
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9999 
<NA>
 
1

Length

Max length4
Median length1
Mean length1.0003
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9999
> 99.9%
<NA> 1
 
< 0.1%

Length

2024-04-20T22:47:57.543994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T22:47:57.720414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9999
> 99.9%
na 1
 
< 0.1%

자본금
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9999 
<NA>
 
1

Length

Max length4
Median length1
Mean length1.0003
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9999
> 99.9%
<NA> 1
 
< 0.1%

Length

2024-04-20T22:47:58.026860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T22:47:58.334301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9999
> 99.9%
na 1
 
< 0.1%

판매방식명
Categorical

IMBALANCE 

Distinct24
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
인터넷
9020 
<NA>
 
362
인터넷, 기타
 
244
기타
 
80
TV홈쇼핑, 인터넷, 카다로그, 신문잡지, 기타
 
57
Other values (19)
 
237

Length

Max length26
Median length3
Mean length3.47
Min length2

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
인터넷 9020
90.2%
<NA> 362
 
3.6%
인터넷, 기타 244
 
2.4%
기타 80
 
0.8%
TV홈쇼핑, 인터넷, 카다로그, 신문잡지, 기타 57
 
0.6%
TV홈쇼핑, 인터넷 47
 
0.5%
인터넷, 카다로그 42
 
0.4%
인터넷, 카다로그, 기타 27
 
0.3%
인터넷, 카다로그, 신문잡지, 기타 18
 
0.2%
인터넷, 카다로그, 신문잡지 17
 
0.2%
Other values (14) 86
 
0.9%

Length

2024-04-20T22:47:58.739324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
인터넷 9527
88.0%
기타 448
 
4.1%
na 362
 
3.3%
카다로그 194
 
1.8%
tv홈쇼핑 161
 
1.5%
신문잡지 135
 
1.2%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자산규모부채총액자본금판매방식명
5913759138통신판매업08_26_04_P3470000202234701813020075620220517<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 유천동 *** 진천역 AK그랑폴리스대구광역시 달서구 월배로**길 **, ***동 ***호 (유천동, 진천역 AK그랑폴리스)42763윌로우20220517142320I2022-05-19 00:22:31.0의류/패션/잡화/뷰티337149.596778258257.959255000인터넷
1658716588통신판매업08_26_04_P3420000200834200903020023920080904<NA>1영업/정상1정상영업<NA><NA><NA><NA>0534253051<NA>701012대구광역시 동구 신천동 ***번지 *호 *층대구광역시 동구 동부로**길 **-* (신천동,*층)<NA>(주)인터팍스20080904171847I2022-04-21 00:22:33.0가전 가구/수납용품 의류/패션/잡화/뷰티346915.153894264572.308083000인터넷
7260472605통신판매업08_26_04_P3480000201934803653020066720191128<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 화원읍 천내리 ***번지 화원이진캐스빌대구광역시 달성군 화원읍 비슬로 ****, ***동 ****호 (화원이진캐스빌)42947후후 스토리(huhu story)20191129095344I2019-12-01 00:23:27.0의류/패션/잡화/뷰티335089.0256876.0000인터넷
5732857329통신판매업08_26_04_P3470000200634701173020022220061110<NA>3폐업3폐업처리20080226<NA><NA><NA>053 655 4101<NA><NA>대구광역시 달서구 두류동 ****-**<NA><NA>서대구꽃백화점20080226170439I2022-04-21 00:22:33.0-<NA><NA>000<NA>
6867768678통신판매업08_26_04_P3480000201634803263020009220160425<NA>3폐업3폐업처리20200506<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 유가읍 테크노중앙대로*길 *-**, ***호43014쭈#20200506141438U2020-05-08 02:40:00.0의류/패션/잡화/뷰티332000.0245120.0000인터넷
3189131892통신판매업08_26_04_P3450000201934501553020061420190624<NA>1영업/정상1정상영업<NA><NA><NA><NA>053-326-8889<NA><NA>대구광역시 북구 국우동 ****번지 **호대구광역시 북구 구리로**길 ** (국우동)41418바이파머스20210510155145U2021-05-12 02:40:00.0건강/식품342213.35345273037.316033000인터넷
4323543236통신판매업08_26_04_P3460000200634600813020097120060523<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>053 743 251<NA><NA>대구광역시 수성구 범어동 **-* ***호<NA><NA>한국행정사무소20200308162630U2020-03-10 02:40:00.0기타<NA><NA>000인터넷
44054406통신판매업08_26_04_P3410000202034101513020052220200630<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 동인동*가 ***-*대구광역시 중구 동덕로**길 ** (동인동*가)41906다원99코리아20200630145329I2020-07-02 00:23:26.0종합몰345243.827271264637.373802000인터넷
74047405통신판매업08_26_04_P3410000201634101203020022320160624<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 국채보상로 ***-* (동인동*가, 에이스)41914리 로투스(RY_LOTUS)20160624153147I2018-08-31 23:59:59.0의류/패션/잡화/뷰티344666.883521264481.24249000인터넷
6433664337통신판매업08_26_04_P3470000202234701813020058320220408<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 월성동 **** 신월성미소지움대구광역시 달서구 조암로 **, 신월성미소지움 *층 ***호 (월성동)42753나우상재20220412180816I2022-04-14 00:22:33.0종합몰337867.161358259418.84472000기타
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자산규모부채총액자본금판매방식명
3323133232통신판매업08_26_04_P3450000202034501603020074120200612<NA>1영업/정상1정상영업<NA><NA><NA><NA>053-1566-4329<NA><NA>대구광역시 북구 침산동 ****번지대구광역시 북구 호암로 **, 대구창조경제혁신센터 벤처오피스 ***호 (침산동)41585주식회사 온빛20200619113158U2020-06-21 02:40:00.0기타344059.579832265913.776245000기타
2900029001통신판매업08_26_04_P3440000201634401033020022320160818<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA><NA>대구광역시 남구 효성로 **-*, *층 (봉덕동)42515그린비아(정식품)20160818143451I2018-08-31 23:59:59.0건강/식품344501.167463261130.660851000인터넷
6333763338통신판매업08_26_04_P3470000202234701813020000820220104<NA>1영업/정상1정상영업<NA><NA><NA><NA>070 - 8064 - 8725<NA><NA>대구광역시 달서구 유천동 ***-* 대곡역 화성파크드림대구광역시 달서구 달서대로 **, ***동 ***호 (유천동, 대곡역 화성파크드림)42764나홀로케빈20220104162345I2022-01-06 00:22:40.0가전 건강/식품 의류/패션/잡화/뷰티336459.181266258022.3644000인터넷
1896618967통신판매업08_26_04_P3430000201234300673020020120090416<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>070-8875-6889<NA><NA>대구광역시 서구 내당*.*동 ****번지 ***호대구광역시 서구 큰장로**길 **-* (내당동)703808로맨틱홈20210119163458U2021-01-21 02:40:00.0기타342127.521256264192.154104000인터넷
5597955980통신판매업08_26_04_P3470000200834701173020039920081021<NA>3폐업3폐업처리20090220<NA><NA><NA>053-621-0443<NA>704908대구광역시 달서구 두류동 ****번지 *호대구광역시 달서구 두류남길 ***-* (두류동)<NA>jean8020090220143313I2018-08-31 23:59:59.0의류/패션/잡화/뷰티341449.047847262977.345981000인터넷
6614666147통신판매업08_26_04_P3470000201934701813020059920190516<NA>1영업/정상1정상영업<NA><NA><NA><NA>053-792-1280<NA><NA>대구광역시 달서구 월암동 ***번지 *호대구광역시 달서구 성서동로 **, ***호 (월암동)42721야베스텍스 (Jabez)20190516134456I2019-05-18 02:20:49.0의류/패션/잡화/뷰티336439.684212259376.072402000인터넷
6808568086통신판매업08_26_04_P3470000201634701173020032120160525<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 도원남로 **, ***동 ***호 (도원동, 산새마을아파트)42830그레텔의 숲속간식20160525113525I2018-08-31 23:59:59.0종합몰338610.70591257006.178344000인터넷
5927559276통신판매업08_26_04_P3470000202234701813020081320220530<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 상인동 ****-*대구광역시 달서구 월곡로**길 **-*, ***호 (상인동)42785아이유비20220530100607I2022-06-04 00:22:32.0의류/패션/잡화/뷰티338886.338183258604.632841000인터넷
28242825통신판매업08_26_04_P3410000202034101513020063420200818<NA>3폐업3폐업처리20201125<NA><NA><NA><NA><NA><NA>대구광역시 중구 대신동 **** 대신센트럴자이대구광역시 중구 달구벌대로 ****, ***동 ****호 (대신동, 대신센트럴자이)41929상준샵20201125110738I2022-04-21 00:22:33.0종합몰 교육/도서/완구/오락 의류/패션/잡화/뷰티342424.00132263905.367548000인터넷
6054160542통신판매업08_26_04_P3470000201534701173020046720150803<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 한들로 **, ***동 ****호 (장기동, 장기파랑새마을아파트)426854.9%20150803105125I2018-08-31 23:59:59.0기타337867.872746261646.135869000인터넷