Overview

Dataset statistics

Number of variables32
Number of observations4138
Missing cells49429
Missing cells (%)37.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 MiB
Average record size in memory269.0 B

Variable types

Numeric9
Categorical6
DateTime8
Text6
Unsupported3

Dataset

Description23년06월_6270000_대구광역시_08_26_02_P_방문판매업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000098695&dataSetDetailId=DDI_0000098747&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
인허가취소일자 has 3683 (89.0%) missing valuesMissing
폐업일자 has 2438 (58.9%) missing valuesMissing
휴업시작일자 has 4128 (99.8%) missing valuesMissing
휴업종료일자 has 4128 (99.8%) missing valuesMissing
재개업일자 has 4132 (99.9%) missing valuesMissing
소재지전화 has 861 (20.8%) missing valuesMissing
소재지면적 has 4138 (100.0%) missing valuesMissing
소재지우편번호 has 2709 (65.5%) missing valuesMissing
소재지전체주소 has 667 (16.1%) missing valuesMissing
도로명전체주소 has 1130 (27.3%) missing valuesMissing
도로명우편번호 has 2274 (55.0%) missing valuesMissing
업태구분명 has 4138 (100.0%) missing valuesMissing
좌표정보(X) has 1153 (27.9%) missing valuesMissing
좌표정보(Y) has 1153 (27.9%) missing valuesMissing
자산규모 has 2850 (68.9%) missing valuesMissing
부채총액 has 2857 (69.0%) missing valuesMissing
자본금 has 2852 (68.9%) missing valuesMissing
판매방식명 has 4138 (100.0%) missing valuesMissing
자산규모 is highly skewed (γ1 = 30.02959954)Skewed
부채총액 is highly skewed (γ1 = 26.70655693)Skewed
자본금 is highly skewed (γ1 = 25.92057118)Skewed
번호 has unique valuesUnique
관리번호 has unique valuesUnique
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
판매방식명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자산규모 has 484 (11.7%) zerosZeros
부채총액 has 833 (20.1%) zerosZeros
자본금 has 454 (11.0%) zerosZeros

Reproduction

Analysis started2023-12-10 20:05:05.290392
Analysis finished2023-12-10 20:05:07.466226
Duration2.18 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct4138
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2069.5
Minimum1
Maximum4138
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.5 KiB
2023-12-11T05:05:07.571202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile207.85
Q11035.25
median2069.5
Q33103.75
95-th percentile3931.15
Maximum4138
Range4137
Interquartile range (IQR)2068.5

Descriptive statistics

Standard deviation1194.682
Coefficient of variation (CV)0.57728052
Kurtosis-1.2
Mean2069.5
Median Absolute Deviation (MAD)1034.5
Skewness0
Sum8563591
Variance1427265.2
MonotonicityStrictly increasing
2023-12-11T05:05:07.759269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2781 1
 
< 0.1%
2751 1
 
< 0.1%
2752 1
 
< 0.1%
2753 1
 
< 0.1%
2754 1
 
< 0.1%
2755 1
 
< 0.1%
2756 1
 
< 0.1%
2757 1
 
< 0.1%
2758 1
 
< 0.1%
Other values (4128) 4128
99.8%
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 (%)
4138 1
< 0.1%
4137 1
< 0.1%
4136 1
< 0.1%
4135 1
< 0.1%
4134 1
< 0.1%
4133 1
< 0.1%
4132 1
< 0.1%
4131 1
< 0.1%
4130 1
< 0.1%
4129 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.5 KiB
방문판매업
4138 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
방문판매업 4138
100.0%

Length

2023-12-11T05:05:07.968174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:05:08.130270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
방문판매업 4138
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.5 KiB
08_26_02_P
4138 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row08_26_02_P
2nd row08_26_02_P
3rd row08_26_02_P
4th row08_26_02_P
5th row08_26_02_P

Common Values

ValueCountFrequency (%)
08_26_02_P 4138
100.0%

Length

2023-12-11T05:05:08.320637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:05:08.501349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
08_26_02_p 4138
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3441466.9
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.5 KiB
2023-12-11T05:05:08.649208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13420000
median3440000
Q33460000
95-th percentile3470000
Maximum3480000
Range70000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation23296.161
Coefficient of variation (CV)0.0067692534
Kurtosis-1.4628544
Mean3441466.9
Median Absolute Deviation (MAD)20000
Skewness-0.019595621
Sum1.424079 × 1010
Variance5.4271113 × 108
MonotonicityIncreasing
2023-12-11T05:05:08.810859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3410000 802
19.4%
3470000 730
17.6%
3420000 682
16.5%
3460000 647
15.6%
3450000 465
11.2%
3440000 390
9.4%
3430000 252
 
6.1%
3480000 170
 
4.1%
ValueCountFrequency (%)
3410000 802
19.4%
3420000 682
16.5%
3430000 252
 
6.1%
3440000 390
9.4%
3450000 465
11.2%
3460000 647
15.6%
3470000 730
17.6%
3480000 170
 
4.1%
ValueCountFrequency (%)
3480000 170
 
4.1%
3470000 730
17.6%
3460000 647
15.6%
3450000 465
11.2%
3440000 390
9.4%
3430000 252
 
6.1%
3420000 682
16.5%
3410000 802
19.4%

관리번호
Real number (ℝ)

UNIQUE 

Distinct4138
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0104807 × 1018
Minimum1.996341 × 1018
Maximum2.023348 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.5 KiB
2023-12-11T05:05:09.055675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.996341 × 1018
5-th percentile1.9993469 × 1018
Q12.005344 × 1018
median2.010342 × 1018
Q32.016342 × 1018
95-th percentile2.021347 × 1018
Maximum2.023348 × 1018
Range2.7007029 × 1016
Interquartile range (IQR)1.0998006 × 1016

Descriptive statistics

Standard deviation6.7107832 × 1015
Coefficient of variation (CV)0.0033378999
Kurtosis-0.84345011
Mean2.0104807 × 1018
Median Absolute Deviation (MAD)5.0020013 × 1015
Skewness0.018371377
Sum-1.1245062 × 1017
Variance4.5034611 × 1031
MonotonicityNot monotonic
2023-12-11T05:05:09.544585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2002341007123200190 1
 
< 0.1%
2003346008123200233 1
 
< 0.1%
2002346008123200220 1
 
< 0.1%
2002346008123200221 1
 
< 0.1%
2001346008123200156 1
 
< 0.1%
2001346008123200159 1
 
< 0.1%
2005346008123200339 1
 
< 0.1%
2003346008123200246 1
 
< 0.1%
2003346008123200249 1
 
< 0.1%
2003346008123200250 1
 
< 0.1%
Other values (4128) 4128
99.8%
ValueCountFrequency (%)
1996341007123200001 1
< 0.1%
1996341007123200002 1
< 0.1%
1996341007123200003 1
< 0.1%
1996341007123200004 1
< 0.1%
1996341007123200005 1
< 0.1%
1996341007123200006 1
< 0.1%
1996341007123200007 1
< 0.1%
1996341007123200008 1
< 0.1%
1996341007123200009 1
< 0.1%
1996341007123200010 1
< 0.1%
ValueCountFrequency (%)
2023348036523200003 1
< 0.1%
2023348036523200002 1
< 0.1%
2023348036523200001 1
< 0.1%
2023347018123200017 1
< 0.1%
2023347018123200016 1
< 0.1%
2023347018123200015 1
< 0.1%
2023347018123200014 1
< 0.1%
2023347018123200013 1
< 0.1%
2023347018123200012 1
< 0.1%
2023347018123200011 1
< 0.1%

인허가일자
Date

Distinct2818
Distinct (%)68.1%
Missing0
Missing (%)0.0%
Memory size32.5 KiB
Minimum1996-08-12 00:00:00
Maximum2023-06-15 00:00:00
2023-12-11T05:05:09.795913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:05:09.990091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Date

MISSING 

Distinct55
Distinct (%)12.1%
Missing3683
Missing (%)89.0%
Memory size32.5 KiB
Minimum2003-12-10 00:00:00
Maximum2022-03-10 00:00:00
2023-12-11T05:05:10.201599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:05:10.453726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.5 KiB
3
1869 
4
1425 
1
838 
2
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
3 1869
45.2%
4 1425
34.4%
1 838
20.3%
2 6
 
0.1%

Length

2023-12-11T05:05:10.663408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:05:10.857630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1869
45.2%
4 1425
34.4%
1 838
20.3%
2 6
 
0.1%

영업상태명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.5 KiB
폐업
1869 
취소/말소/만료/정지/중지
1425 
영업/정상
838 
휴업
 
6

Length

Max length14
Median length5
Mean length6.739971
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row취소/말소/만료/정지/중지
2nd row취소/말소/만료/정지/중지
3rd row취소/말소/만료/정지/중지
4th row취소/말소/만료/정지/중지
5th row취소/말소/만료/정지/중지

Common Values

ValueCountFrequency (%)
폐업 1869
45.2%
취소/말소/만료/정지/중지 1425
34.4%
영업/정상 838
20.3%
휴업 6
 
0.1%

Length

2023-12-11T05:05:11.050320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:05:11.235215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1869
45.2%
취소/말소/만료/정지/중지 1425
34.4%
영업/정상 838
20.3%
휴업 6
 
0.1%

상세영업상태코드
Real number (ℝ)

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.6440309
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.5 KiB
2023-12-11T05:05:11.392397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.0615767
Coefficient of variation (CV)0.56574073
Kurtosis-0.80474231
Mean3.6440309
Median Absolute Deviation (MAD)1
Skewness0.57151596
Sum15079
Variance4.2500985
MonotonicityNot monotonic
2023-12-11T05:05:11.550665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 1869
45.2%
7 965
23.3%
1 833
20.1%
4 460
 
11.1%
2 6
 
0.1%
6 4
 
0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
1 833
20.1%
2 6
 
0.1%
3 1869
45.2%
4 460
 
11.1%
6 4
 
0.1%
7 965
23.3%
8 1
 
< 0.1%
ValueCountFrequency (%)
8 1
 
< 0.1%
7 965
23.3%
6 4
 
0.1%
4 460
 
11.1%
3 1869
45.2%
2 6
 
0.1%
1 833
20.1%

상세영업상태명
Categorical

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size32.5 KiB
폐업처리
1869 
직권말소
965 
정상영업
833 
직권취소
460 
휴업처리
 
6
Other values (2)
 
5

Length

Max length6
Median length4
Mean length4.0019333
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업처리 1869
45.2%
직권말소 965
23.3%
정상영업 833
20.1%
직권취소 460
 
11.1%
휴업처리 6
 
0.1%
타시군구전입 4
 
0.1%
영업재개 1
 
< 0.1%

Length

2023-12-11T05:05:11.754893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:05:11.992008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업처리 1869
45.2%
직권말소 965
23.3%
정상영업 833
20.1%
직권취소 460
 
11.1%
휴업처리 6
 
0.1%
타시군구전입 4
 
0.1%
영업재개 1
 
< 0.1%

폐업일자
Date

MISSING 

Distinct1240
Distinct (%)72.9%
Missing2438
Missing (%)58.9%
Memory size32.5 KiB
Minimum1997-05-08 00:00:00
Maximum2023-05-09 00:00:00
2023-12-11T05:05:12.198576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:05:12.411811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct10
Distinct (%)100.0%
Missing4128
Missing (%)99.8%
Memory size32.5 KiB
Minimum1997-04-15 00:00:00
Maximum2021-08-07 00:00:00
2023-12-11T05:05:12.590920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:05:12.800764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

휴업종료일자
Date

MISSING 

Distinct10
Distinct (%)100.0%
Missing4128
Missing (%)99.8%
Memory size32.5 KiB
Minimum1999-04-15 00:00:00
Maximum2021-12-07 00:00:00
2023-12-11T05:05:12.971119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:05:13.144580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

재개업일자
Date

MISSING 

Distinct6
Distinct (%)100.0%
Missing4132
Missing (%)99.9%
Memory size32.5 KiB
Minimum2009-03-04 00:00:00
Maximum2021-11-29 00:00:00
2023-12-11T05:05:13.327386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:05:13.501838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

소재지전화
Text

MISSING 

Distinct3073
Distinct (%)93.8%
Missing861
Missing (%)20.8%
Memory size32.5 KiB
2023-12-11T05:05:13.988008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12
Mean length11.55264
Min length6

Characters and Unicode

Total characters37858
Distinct characters17
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

Unique2900 ?
Unique (%)88.5%

Sample

1st row053 422 7422
2nd row053 253 5671
3rd row053 242 2700
4th row053 603 6008
5th row053 426 2329
ValueCountFrequency (%)
053 1264
 
21.6%
256 47
 
0.8%
429 46
 
0.8%
421 36
 
0.6%
423 35
 
0.6%
255 35
 
0.6%
426 32
 
0.5%
424 32
 
0.5%
422 31
 
0.5%
252 29
 
0.5%
Other values (3138) 4257
72.8%
2023-12-11T05:05:14.695445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 5798
15.3%
0 5465
14.4%
3 4918
13.0%
- 3080
8.1%
2 2959
7.8%
2615
6.9%
7 2458
6.5%
6 2392
6.3%
4 2386
6.3%
1 2126
 
5.6%
Other values (7) 3661
9.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 32138
84.9%
Dash Punctuation 3080
 
8.1%
Space Separator 2615
 
6.9%
Close Punctuation 13
 
< 0.1%
Math Symbol 5
 
< 0.1%
Other Punctuation 5
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 5798
18.0%
0 5465
17.0%
3 4918
15.3%
2 2959
9.2%
7 2458
7.6%
6 2392
7.4%
4 2386
7.4%
1 2126
 
6.6%
8 1885
 
5.9%
9 1751
 
5.4%
Other Punctuation
ValueCountFrequency (%)
. 4
80.0%
/ 1
 
20.0%
Dash Punctuation
ValueCountFrequency (%)
- 3080
100.0%
Space Separator
ValueCountFrequency (%)
2615
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 37858
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 5798
15.3%
0 5465
14.4%
3 4918
13.0%
- 3080
8.1%
2 2959
7.8%
2615
6.9%
7 2458
6.5%
6 2392
6.3%
4 2386
6.3%
1 2126
 
5.6%
Other values (7) 3661
9.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 37858
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 5798
15.3%
0 5465
14.4%
3 4918
13.0%
- 3080
8.1%
2 2959
7.8%
2615
6.9%
7 2458
6.5%
6 2392
6.3%
4 2386
6.3%
1 2126
 
5.6%
Other values (7) 3661
9.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4138
Missing (%)100.0%
Memory size36.5 KiB

소재지우편번호
Text

MISSING 

Distinct394
Distinct (%)27.6%
Missing2709
Missing (%)65.5%
Memory size32.5 KiB
2023-12-11T05:05:15.171288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters10003
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique179 ?
Unique (%)12.5%

Sample

1st row700-421
2nd row700-424
3rd row700-180
4th row700-803
5th row700-753
ValueCountFrequency (%)
705-030 51
 
3.6%
701-020 39
 
2.7%
704-340 36
 
2.5%
702-010 34
 
2.4%
702-260 33
 
2.3%
700-719 33
 
2.3%
704-140 29
 
2.0%
704-060 27
 
1.9%
706-010 24
 
1.7%
706-020 20
 
1.4%
Other values (384) 1103
77.2%
2023-12-11T05:05:15.885469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3070
30.7%
7 1576
15.8%
- 1429
14.3%
1 782
 
7.8%
2 756
 
7.6%
4 585
 
5.8%
3 506
 
5.1%
8 454
 
4.5%
6 380
 
3.8%
5 343
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8574
85.7%
Dash Punctuation 1429
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3070
35.8%
7 1576
18.4%
1 782
 
9.1%
2 756
 
8.8%
4 585
 
6.8%
3 506
 
5.9%
8 454
 
5.3%
6 380
 
4.4%
5 343
 
4.0%
9 122
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 1429
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10003
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3070
30.7%
7 1576
15.8%
- 1429
14.3%
1 782
 
7.8%
2 756
 
7.6%
4 585
 
5.8%
3 506
 
5.1%
8 454
 
4.5%
6 380
 
3.8%
5 343
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10003
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3070
30.7%
7 1576
15.8%
- 1429
14.3%
1 782
 
7.8%
2 756
 
7.6%
4 585
 
5.8%
3 506
 
5.1%
8 454
 
4.5%
6 380
 
3.8%
5 343
 
3.4%

소재지전체주소
Text

MISSING 

Distinct2165
Distinct (%)62.4%
Missing667
Missing (%)16.1%
Memory size32.5 KiB
2023-12-11T05:05:16.426713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length44
Mean length24.343705
Min length7

Characters and Unicode

Total characters84497
Distinct characters412
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

Unique1656 ?
Unique (%)47.7%

Sample

1st row대구광역시 중구 남산동 *** 계산타워 **층
2nd row대구광역시 중구 남일동 **-* 미도빌딩 **층 **호
3rd row대구광역시 중구 수동 ** 태남빌딩 *층
4th row대구광역시 중구 포정동 ** (*층 ***호)
5th row대구광역시 중구 북성로*가 *-*
ValueCountFrequency (%)
대구광역시 3155
18.1%
호 2053
 
11.8%
번지 2008
 
11.5%
1328
 
7.6%
층 718
 
4.1%
중구 714
 
4.1%
달서구 579
 
3.3%
수성구 527
 
3.0%
동구 402
 
2.3%
북구 365
 
2.1%
Other values (1112) 5603
32.1%
2023-12-11T05:05:17.215570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 18611
22.0%
17124
20.3%
구 6291
 
7.4%
동 3915
 
4.6%
대 3664
 
4.3%
시 3226
 
3.8%
광 3176
 
3.8%
역 3169
 
3.8%
지 2219
 
2.6%
호 2152
 
2.5%
Other values (402) 20950
24.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 47104
55.7%
Other Punctuation 18708
 
22.1%
Space Separator 17124
 
20.3%
Dash Punctuation 1254
 
1.5%
Uppercase Letter 162
 
0.2%
Open Punctuation 62
 
0.1%
Close Punctuation 62
 
0.1%
Lowercase Letter 18
 
< 0.1%
Math Symbol 2
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 6291
 
13.4%
동 3915
 
8.3%
대 3664
 
7.8%
시 3226
 
6.8%
광 3176
 
6.7%
역 3169
 
6.7%
지 2219
 
4.7%
호 2152
 
4.6%
번 2034
 
4.3%
성 1027
 
2.2%
Other values (362) 16231
34.5%
Uppercase Letter
ValueCountFrequency (%)
B 32
19.8%
A 19
11.7%
T 18
11.1%
K 17
10.5%
D 17
10.5%
S 11
 
6.8%
L 7
 
4.3%
C 7
 
4.3%
M 7
 
4.3%
O 6
 
3.7%
Other values (9) 21
13.0%
Lowercase Letter
ValueCountFrequency (%)
e 6
33.3%
b 2
 
11.1%
t 2
 
11.1%
k 2
 
11.1%
s 1
 
5.6%
d 1
 
5.6%
a 1
 
5.6%
c 1
 
5.6%
y 1
 
5.6%
m 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
* 18611
99.5%
/ 43
 
0.2%
, 39
 
0.2%
. 13
 
0.1%
@ 2
 
< 0.1%
Space Separator
ValueCountFrequency (%)
17124
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1254
100.0%
Open Punctuation
ValueCountFrequency (%)
( 62
100.0%
Close Punctuation
ValueCountFrequency (%)
) 62
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 47105
55.7%
Common 37212
44.0%
Latin 180
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 6291
 
13.4%
동 3915
 
8.3%
대 3664
 
7.8%
시 3226
 
6.8%
광 3176
 
6.7%
역 3169
 
6.7%
지 2219
 
4.7%
호 2152
 
4.6%
번 2034
 
4.3%
성 1027
 
2.2%
Other values (363) 16232
34.5%
Latin
ValueCountFrequency (%)
B 32
17.8%
A 19
10.6%
T 18
10.0%
K 17
9.4%
D 17
9.4%
S 11
 
6.1%
L 7
 
3.9%
C 7
 
3.9%
M 7
 
3.9%
e 6
 
3.3%
Other values (19) 39
21.7%
Common
ValueCountFrequency (%)
* 18611
50.0%
17124
46.0%
- 1254
 
3.4%
( 62
 
0.2%
) 62
 
0.2%
/ 43
 
0.1%
, 39
 
0.1%
. 13
 
< 0.1%
~ 2
 
< 0.1%
@ 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 47104
55.7%
ASCII 37392
44.3%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 18611
49.8%
17124
45.8%
- 1254
 
3.4%
( 62
 
0.2%
) 62
 
0.2%
/ 43
 
0.1%
, 39
 
0.1%
B 32
 
0.1%
A 19
 
0.1%
T 18
 
< 0.1%
Other values (29) 128
 
0.3%
Hangul
ValueCountFrequency (%)
구 6291
 
13.4%
동 3915
 
8.3%
대 3664
 
7.8%
시 3226
 
6.8%
광 3176
 
6.7%
역 3169
 
6.7%
지 2219
 
4.7%
호 2152
 
4.6%
번 2034
 
4.3%
성 1027
 
2.2%
Other values (362) 16231
34.5%
None
ValueCountFrequency (%)
㈜ 1
100.0%

도로명전체주소
Text

MISSING 

Distinct2289
Distinct (%)76.1%
Missing1130
Missing (%)27.3%
Memory size32.5 KiB
2023-12-11T05:05:17.658263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length51
Mean length29.626995
Min length11

Characters and Unicode

Total characters89118
Distinct characters421
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1910 ?
Unique (%)63.5%

Sample

1st row대구광역시 중구 태평로 *** (동인동*가)
2nd row대구광역시 중구 명덕로 ***, 한국타일도기전시장 (대봉동)
3rd row대구광역시 중구 국채보상로***길 * (동인동*가)
4th row대구광역시 중구 경상감영길 *** (동문동)
5th row대구광역시 중구 큰장로**길 **, *층 제*호 (대신동)
ValueCountFrequency (%)
3015
17.1%
대구광역시 3007
17.0%
층 856
 
4.9%
호 695
 
3.9%
달서구 576
 
3.3%
동구 481
 
2.7%
수성구 464
 
2.6%
북구 456
 
2.6%
중구 360
 
2.0%
남구 324
 
1.8%
Other values (1668) 7412
42.0%
2023-12-11T05:05:18.414068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 14699
16.5%
14660
16.5%
구 6380
 
7.2%
동 4276
 
4.8%
대 4141
 
4.6%
시 3087
 
3.5%
역 3043
 
3.4%
광 3022
 
3.4%
로 2960
 
3.3%
) 2910
 
3.3%
Other values (411) 29940
33.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 50968
57.2%
Other Punctuation 17035
 
19.1%
Space Separator 14660
 
16.5%
Close Punctuation 2910
 
3.3%
Open Punctuation 2909
 
3.3%
Dash Punctuation 478
 
0.5%
Uppercase Letter 138
 
0.2%
Lowercase Letter 18
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 6380
 
12.5%
동 4276
 
8.4%
대 4141
 
8.1%
시 3087
 
6.1%
역 3043
 
6.0%
광 3022
 
5.9%
로 2960
 
5.8%
층 1163
 
2.3%
길 1124
 
2.2%
성 1074
 
2.1%
Other values (378) 20698
40.6%
Uppercase Letter
ValueCountFrequency (%)
K 25
18.1%
B 23
16.7%
T 20
14.5%
A 18
13.0%
S 14
10.1%
H 7
 
5.1%
L 7
 
5.1%
C 5
 
3.6%
P 4
 
2.9%
D 4
 
2.9%
Other values (7) 11
8.0%
Lowercase Letter
ValueCountFrequency (%)
e 11
61.1%
k 2
 
11.1%
t 2
 
11.1%
a 1
 
5.6%
s 1
 
5.6%
y 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
* 14699
86.3%
, 2325
 
13.6%
/ 5
 
< 0.1%
. 4
 
< 0.1%
@ 2
 
< 0.1%
Space Separator
ValueCountFrequency (%)
14660
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2910
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2909
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 478
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 50968
57.2%
Common 37994
42.6%
Latin 156
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 6380
 
12.5%
동 4276
 
8.4%
대 4141
 
8.1%
시 3087
 
6.1%
역 3043
 
6.0%
광 3022
 
5.9%
로 2960
 
5.8%
층 1163
 
2.3%
길 1124
 
2.2%
성 1074
 
2.1%
Other values (378) 20698
40.6%
Latin
ValueCountFrequency (%)
K 25
16.0%
B 23
14.7%
T 20
12.8%
A 18
11.5%
S 14
9.0%
e 11
7.1%
H 7
 
4.5%
L 7
 
4.5%
C 5
 
3.2%
P 4
 
2.6%
Other values (13) 22
14.1%
Common
ValueCountFrequency (%)
* 14699
38.7%
14660
38.6%
) 2910
 
7.7%
( 2909
 
7.7%
, 2325
 
6.1%
- 478
 
1.3%
/ 5
 
< 0.1%
. 4
 
< 0.1%
@ 2
 
< 0.1%
~ 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 50968
57.2%
ASCII 38150
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 14699
38.5%
14660
38.4%
) 2910
 
7.6%
( 2909
 
7.6%
, 2325
 
6.1%
- 478
 
1.3%
K 25
 
0.1%
B 23
 
0.1%
T 20
 
0.1%
A 18
 
< 0.1%
Other values (23) 83
 
0.2%
Hangul
ValueCountFrequency (%)
구 6380
 
12.5%
동 4276
 
8.4%
대 4141
 
8.1%
시 3087
 
6.1%
역 3043
 
6.0%
광 3022
 
5.9%
로 2960
 
5.8%
층 1163
 
2.3%
길 1124
 
2.2%
성 1074
 
2.1%
Other values (378) 20698
40.6%

도로명우편번호
Text

MISSING 

Distinct1020
Distinct (%)54.7%
Missing2274
Missing (%)55.0%
Memory size32.5 KiB
2023-12-11T05:05:18.951974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.7049356
Min length5

Characters and Unicode

Total characters10634
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique578 ?
Unique (%)31.0%

Sample

1st row41962
2nd row41926
3rd row41906
4th row700-803
5th row700-753
ValueCountFrequency (%)
705-810 14
 
0.8%
41940 13
 
0.7%
42028 11
 
0.6%
41260 11
 
0.6%
700-719 10
 
0.5%
701-824 8
 
0.4%
42661 8
 
0.4%
41208 8
 
0.4%
41505 7
 
0.4%
42739 7
 
0.4%
Other values (1010) 1767
94.8%
2023-12-11T05:05:19.726905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 1909
18.0%
0 1466
13.8%
1 1334
12.5%
2 1279
12.0%
7 1134
10.7%
8 737
 
6.9%
- 657
 
6.2%
6 622
 
5.8%
3 505
 
4.7%
5 500
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9977
93.8%
Dash Punctuation 657
 
6.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 1909
19.1%
0 1466
14.7%
1 1334
13.4%
2 1279
12.8%
7 1134
11.4%
8 737
 
7.4%
6 622
 
6.2%
3 505
 
5.1%
5 500
 
5.0%
9 491
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 657
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10634
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 1909
18.0%
0 1466
13.8%
1 1334
12.5%
2 1279
12.0%
7 1134
10.7%
8 737
 
6.9%
- 657
 
6.2%
6 622
 
5.8%
3 505
 
4.7%
5 500
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10634
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 1909
18.0%
0 1466
13.8%
1 1334
12.5%
2 1279
12.0%
7 1134
10.7%
8 737
 
6.9%
- 657
 
6.2%
6 622
 
5.8%
3 505
 
4.7%
5 500
 
4.7%

사업장명
Text

Distinct3838
Distinct (%)92.8%
Missing0
Missing (%)0.0%
Memory size32.5 KiB
2023-12-11T05:05:20.155291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length27
Mean length7.4253262
Min length1

Characters and Unicode

Total characters30726
Distinct characters717
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3630 ?
Unique (%)87.7%

Sample

1st row소호마트 에이스대리점
2nd row세화바이오
3rd row㈜이피아
4th row하람
5th row데꼴라쥬패션
ValueCountFrequency (%)
주식회사 264
 
4.8%
주 61
 
1.1%
마임 42
 
0.8%
인셀덤 30
 
0.5%
대리점 26
 
0.5%
김정문알로에 22
 
0.4%
윤선생영어교실 22
 
0.4%
한불화장품 21
 
0.4%
코웨이 21
 
0.4%
대구 20
 
0.4%
Other values (4115) 4955
90.4%
2023-12-11T05:05:20.839474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1350
 
4.4%
대 937
 
3.0%
사 873
 
2.8%
주 785
 
2.6%
이 724
 
2.4%
리 707
 
2.3%
지 633
 
2.1%
스 597
 
1.9%
( 593
 
1.9%
) 593
 
1.9%
Other values (707) 22934
74.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26716
86.9%
Space Separator 1350
 
4.4%
Uppercase Letter 635
 
2.1%
Open Punctuation 593
 
1.9%
Close Punctuation 593
 
1.9%
Lowercase Letter 349
 
1.1%
Other Symbol 273
 
0.9%
Other Punctuation 125
 
0.4%
Decimal Number 69
 
0.2%
Dash Punctuation 22
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 937
 
3.5%
사 873
 
3.3%
주 785
 
2.9%
이 724
 
2.7%
리 707
 
2.6%
지 633
 
2.4%
스 597
 
2.2%
점 553
 
2.1%
아 480
 
1.8%
구 468
 
1.8%
Other values (638) 19959
74.7%
Uppercase Letter
ValueCountFrequency (%)
S 70
 
11.0%
K 64
 
10.1%
C 57
 
9.0%
T 50
 
7.9%
M 42
 
6.6%
I 37
 
5.8%
D 33
 
5.2%
G 29
 
4.6%
B 28
 
4.4%
L 27
 
4.3%
Other values (14) 198
31.2%
Lowercase Letter
ValueCountFrequency (%)
o 44
12.6%
e 42
12.0%
a 28
 
8.0%
i 28
 
8.0%
n 23
 
6.6%
r 23
 
6.6%
t 21
 
6.0%
c 21
 
6.0%
l 18
 
5.2%
s 17
 
4.9%
Other values (13) 84
24.1%
Decimal Number
ValueCountFrequency (%)
1 28
40.6%
2 11
 
15.9%
0 9
 
13.0%
4 6
 
8.7%
3 5
 
7.2%
5 3
 
4.3%
7 2
 
2.9%
9 2
 
2.9%
6 2
 
2.9%
8 1
 
1.4%
Other Punctuation
ValueCountFrequency (%)
. 67
53.6%
& 33
26.4%
, 20
 
16.0%
/ 3
 
2.4%
# 1
 
0.8%
· 1
 
0.8%
Space Separator
ValueCountFrequency (%)
1350
100.0%
Open Punctuation
ValueCountFrequency (%)
( 593
100.0%
Close Punctuation
ValueCountFrequency (%)
) 593
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 273
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26980
87.8%
Common 2753
 
9.0%
Latin 984
 
3.2%
Han 9
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 937
 
3.5%
사 873
 
3.2%
주 785
 
2.9%
이 724
 
2.7%
리 707
 
2.6%
지 633
 
2.3%
스 597
 
2.2%
점 553
 
2.0%
아 480
 
1.8%
구 468
 
1.7%
Other values (630) 20223
75.0%
Latin
ValueCountFrequency (%)
S 70
 
7.1%
K 64
 
6.5%
C 57
 
5.8%
T 50
 
5.1%
o 44
 
4.5%
e 42
 
4.3%
M 42
 
4.3%
I 37
 
3.8%
D 33
 
3.4%
G 29
 
2.9%
Other values (37) 516
52.4%
Common
ValueCountFrequency (%)
1350
49.0%
( 593
21.5%
) 593
21.5%
. 67
 
2.4%
& 33
 
1.2%
1 28
 
1.0%
- 22
 
0.8%
, 20
 
0.7%
2 11
 
0.4%
0 9
 
0.3%
Other values (11) 27
 
1.0%
Han
ValueCountFrequency (%)
秀 1
11.1%
美 1
11.1%
醫 1
11.1%
參 1
11.1%
源 1
11.1%
家 1
11.1%
如 1
11.1%
內 1
11.1%
煐 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26706
86.9%
ASCII 3736
 
12.2%
None 274
 
0.9%
CJK 8
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1350
36.1%
( 593
15.9%
) 593
15.9%
S 70
 
1.9%
. 67
 
1.8%
K 64
 
1.7%
C 57
 
1.5%
T 50
 
1.3%
o 44
 
1.2%
e 42
 
1.1%
Other values (57) 806
21.6%
Hangul
ValueCountFrequency (%)
대 937
 
3.5%
사 873
 
3.3%
주 785
 
2.9%
이 724
 
2.7%
리 707
 
2.6%
지 633
 
2.4%
스 597
 
2.2%
점 553
 
2.1%
아 480
 
1.8%
구 468
 
1.8%
Other values (628) 19949
74.7%
None
ValueCountFrequency (%)
㈜ 273
99.6%
· 1
 
0.4%
CJK
ValueCountFrequency (%)
秀 1
12.5%
美 1
12.5%
醫 1
12.5%
源 1
12.5%
家 1
12.5%
如 1
12.5%
內 1
12.5%
煐 1
12.5%
CJK Compat Ideographs
ValueCountFrequency (%)
參 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

최종수정시점
Date

Distinct3908
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size32.5 KiB
Minimum2007-07-13 13:31:33
Maximum2023-06-27 10:47:19
2023-12-11T05:05:21.061804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:05:21.321236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.5 KiB
I
3466 
U
672 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 3466
83.8%
U 672
 
16.2%

Length

2023-12-11T05:05:21.541839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:05:21.700133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 3466
83.8%
u 672
 
16.2%

데이터갱신일자
Date

Distinct708
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Memory size32.5 KiB
Minimum2018-08-31 23:59:59
Maximum2023-06-29 00:19:12
2023-12-11T05:05:21.870979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:05:22.103527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4138
Missing (%)100.0%
Memory size36.5 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct2244
Distinct (%)75.2%
Missing1153
Missing (%)27.9%
Infinite0
Infinite (%)0.0%
Mean343330.57
Minimum320685.91
Maximum411802.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.5 KiB
2023-12-11T05:05:22.349780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum320685.91
5-th percentile335381.79
Q1340042.02
median343649.89
Q3346296.84
95-th percentile352802.47
Maximum411802.02
Range91116.119
Interquartile range (IQR)6254.8135

Descriptive statistics

Standard deviation5019.0531
Coefficient of variation (CV)0.014618719
Kurtosis13.67304
Mean343330.57
Median Absolute Deviation (MAD)3109.4621
Skewness1.0469932
Sum1.0248418 × 109
Variance25190895
MonotonicityNot monotonic
2023-12-11T05:05:23.012307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
344686.25933796 51
 
1.2%
346916.265263484 11
 
0.3%
344204.5224695 10
 
0.2%
346139.25349477 9
 
0.2%
346942.691096638 8
 
0.2%
346854.596149695 8
 
0.2%
341316.891342365 8
 
0.2%
341400.396373234 6
 
0.1%
342857.951161336 6
 
0.1%
346138.664988332 6
 
0.1%
Other values (2234) 2862
69.2%
(Missing) 1153
27.9%
ValueCountFrequency (%)
320685.90565124 1
< 0.1%
327726.873050023 1
< 0.1%
328475.294032464 1
< 0.1%
328477.67690472 1
< 0.1%
329646.166759981 1
< 0.1%
329904.395691723 1
< 0.1%
329988.610665573 1
< 0.1%
329997.180892182 1
< 0.1%
330010.624861749 2
< 0.1%
330036.774848006 2
< 0.1%
ValueCountFrequency (%)
411802.024297149 1
< 0.1%
387406.067019474 1
< 0.1%
358087.168152787 1
< 0.1%
356695.286565695 1
< 0.1%
356490.224801613 1
< 0.1%
356411.615244907 1
< 0.1%
356391.674186182 1
< 0.1%
356325.33935912 1
< 0.1%
356321.036355612 1
< 0.1%
356311.981377122 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct2244
Distinct (%)75.2%
Missing1153
Missing (%)27.9%
Infinite0
Infinite (%)0.0%
Mean263515.46
Minimum186676.31
Maximum292580.46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.5 KiB
2023-12-11T05:05:23.200719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum186676.31
5-th percentile257974.71
Q1261485.43
median263511.23
Q3265182.45
95-th percentile271243.48
Maximum292580.46
Range105904.15
Interquartile range (IQR)3697.0187

Descriptive statistics

Standard deviation4363.6672
Coefficient of variation (CV)0.016559435
Kurtosis35.979377
Mean263515.46
Median Absolute Deviation (MAD)1912.8684
Skewness-2.2642748
Sum7.8659365 × 108
Variance19041592
MonotonicityNot monotonic
2023-12-11T05:05:23.431853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
263958.880864104 51
 
1.2%
263443.713905949 11
 
0.3%
265028.313376104 10
 
0.2%
265833.573828676 9
 
0.2%
263989.847736771 8
 
0.2%
264420.293468893 8
 
0.2%
263332.034502933 8
 
0.2%
261002.030482824 6
 
0.1%
265657.494195599 6
 
0.1%
265092.19092668 6
 
0.1%
Other values (2234) 2862
69.2%
(Missing) 1153
27.9%
ValueCountFrequency (%)
186676.305414942 1
< 0.1%
239980.539373145 1
< 0.1%
240473.571874223 1
< 0.1%
240757.941481673 1
< 0.1%
241006.170350048 1
< 0.1%
244375.367003823 1
< 0.1%
244379.819416086 2
< 0.1%
244614.169050611 1
< 0.1%
244678.418275371 1
< 0.1%
244688.826142842 1
< 0.1%
ValueCountFrequency (%)
292580.459555185 1
 
< 0.1%
279782.459187116 1
 
< 0.1%
278032.753892201 1
 
< 0.1%
277749.024028649 6
0.1%
277673.246367512 1
 
< 0.1%
276405.748916575 1
 
< 0.1%
275858.200620791 1
 
< 0.1%
274686.330019567 1
 
< 0.1%
273974.140069297 1
 
< 0.1%
273733.771245585 1
 
< 0.1%

자산규모
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct438
Distinct (%)34.0%
Missing2850
Missing (%)68.9%
Infinite0
Infinite (%)0.0%
Mean1.719636 × 1010
Minimum0
Maximum8.740706 × 1012
Zeros484
Zeros (%)11.7%
Negative0
Negative (%)0.0%
Memory size36.5 KiB
2023-12-11T05:05:23.642708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median50000000
Q32 × 108
95-th percentile5.1188559 × 109
Maximum8.740706 × 1012
Range8.740706 × 1012
Interquartile range (IQR)2 × 108

Descriptive statistics

Standard deviation2.5996206 × 1011
Coefficient of variation (CV)15.117272
Kurtosis991.06628
Mean1.719636 × 1010
Median Absolute Deviation (MAD)50000000
Skewness30.0296
Sum2.2148912 × 1013
Variance6.7580274 × 1022
MonotonicityNot monotonic
2023-12-11T05:05:23.809821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 484
 
11.7%
50000000 120
 
2.9%
100000000 63
 
1.5%
10000000 38
 
0.9%
30000000 25
 
0.6%
20000000 16
 
0.4%
200000000 15
 
0.4%
150000000 13
 
0.3%
300000000 11
 
0.3%
1000000 9
 
0.2%
Other values (428) 494
 
11.9%
(Missing) 2850
68.9%
ValueCountFrequency (%)
0 484
11.7%
1000 2
 
< 0.1%
1500 1
 
< 0.1%
50000 1
 
< 0.1%
510000 1
 
< 0.1%
553000 1
 
< 0.1%
1000000 9
 
0.2%
1760008 1
 
< 0.1%
2000000 2
 
< 0.1%
2443637 1
 
< 0.1%
ValueCountFrequency (%)
8740706000000 1
< 0.1%
2177355000000 1
< 0.1%
879125755425 1
< 0.1%
831000000000 2
< 0.1%
787576157000 1
< 0.1%
724994000000 1
< 0.1%
706808215442 1
< 0.1%
698727032000 1
< 0.1%
697285555116 1
< 0.1%
552004233250 1
< 0.1%

부채총액
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct395
Distinct (%)30.8%
Missing2857
Missing (%)69.0%
Infinite0
Infinite (%)0.0%
Mean1.2635852 × 1010
Minimum-10000000
Maximum5.574533 × 1012
Zeros833
Zeros (%)20.1%
Negative1
Negative (%)< 0.1%
Memory size36.5 KiB
2023-12-11T05:05:23.998040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-10000000
5-th percentile0
Q10
median0
Q347944816
95-th percentile3.3025481 × 109
Maximum5.574533 × 1012
Range5.574543 × 1012
Interquartile range (IQR)47944816

Descriptive statistics

Standard deviation1.7486537 × 1011
Coefficient of variation (CV)13.838827
Kurtosis815.03806
Mean1.2635852 × 1010
Median Absolute Deviation (MAD)0
Skewness26.706557
Sum1.6186526 × 1013
Variance3.0577896 × 1022
MonotonicityNot monotonic
2023-12-11T05:05:24.172769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 833
 
20.1%
20000000 10
 
0.2%
10000000 9
 
0.2%
50000000 8
 
0.2%
100000000 5
 
0.1%
30000000 5
 
0.1%
5000000 4
 
0.1%
3000000 4
 
0.1%
120000000 4
 
0.1%
15000000 4
 
0.1%
Other values (385) 395
 
9.5%
(Missing) 2857
69.0%
ValueCountFrequency (%)
-10000000 1
 
< 0.1%
0 833
20.1%
300 1
 
< 0.1%
13676 1
 
< 0.1%
21200 1
 
< 0.1%
56209 1
 
< 0.1%
233810 1
 
< 0.1%
440000 1
 
< 0.1%
480000 1
 
< 0.1%
551000 1
 
< 0.1%
ValueCountFrequency (%)
5574533000000 1
< 0.1%
2006281000000 1
< 0.1%
828408302940 1
< 0.1%
774400000000 1
< 0.1%
727755436000 1
< 0.1%
681816000000 1
< 0.1%
658676046699 1
< 0.1%
653977093000 1
< 0.1%
518446833899 1
< 0.1%
387657058362 1
< 0.1%

자본금
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct226
Distinct (%)17.6%
Missing2852
Missing (%)68.9%
Infinite0
Infinite (%)0.0%
Mean1.7801452 × 109
Minimum-1.8149666 × 108
Maximum6.48654 × 1011
Zeros454
Zeros (%)11.0%
Negative4
Negative (%)0.1%
Memory size36.5 KiB
2023-12-11T05:05:24.346475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.8149666 × 108
5-th percentile0
Q10
median47388729
Q31 × 108
95-th percentile1.3323989 × 109
Maximum6.48654 × 1011
Range6.488355 × 1011
Interquartile range (IQR)1 × 108

Descriptive statistics

Standard deviation2.0494193 × 1010
Coefficient of variation (CV)11.512652
Kurtosis784.03223
Mean1.7801452 × 109
Median Absolute Deviation (MAD)47388729
Skewness25.920571
Sum2.2892667 × 1012
Variance4.2001193 × 1020
MonotonicityNot monotonic
2023-12-11T05:05:24.526061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 454
 
11.0%
50000000 220
 
5.3%
100000000 92
 
2.2%
10000000 55
 
1.3%
200000000 29
 
0.7%
30000000 29
 
0.7%
300000000 29
 
0.7%
20000000 26
 
0.6%
150000000 18
 
0.4%
1000000 16
 
0.4%
Other values (216) 318
 
7.7%
(Missing) 2852
68.9%
ValueCountFrequency (%)
-181496664 1
 
< 0.1%
-148107720 1
 
< 0.1%
-75042217 1
 
< 0.1%
-16037743 1
 
< 0.1%
0 454
11.0%
1000 2
 
< 0.1%
1500 1
 
< 0.1%
2000 1
 
< 0.1%
50000 1
 
< 0.1%
100000 1
 
< 0.1%
ValueCountFrequency (%)
648654000000 1
< 0.1%
191000576787 1
< 0.1%
171074000000 1
< 0.1%
131372235988 1
< 0.1%
77300000000 1
< 0.1%
63100000000 1
< 0.1%
59820721000 1
< 0.1%
59752513670 1
< 0.1%
50717452485 1
< 0.1%
44749939000 1
< 0.1%

판매방식명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4138
Missing (%)100.0%
Memory size36.5 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자산규모부채총액자본금판매방식명
01방문판매업08_26_02_P341000020023410071232001902002-02-19<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>053 422 7422<NA><NA>대구광역시 중구 남산동 *** 계산타워 **층<NA><NA>소호마트 에이스대리점2013-12-24 11:28:07I2018-08-31 23:59:59<NA><NA><NA><NA><NA><NA><NA>
12방문판매업08_26_02_P341000020033410071232002612003-01-16<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>053 253 5671<NA><NA>대구광역시 중구 남일동 **-* 미도빌딩 **층 **호<NA><NA>세화바이오2013-12-24 11:11:01I2018-08-31 23:59:59<NA><NA><NA><NA><NA><NA><NA>
23방문판매업08_26_02_P341000020033410071232002652003-02-13<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>053 242 2700<NA><NA>대구광역시 중구 수동 ** 태남빌딩 *층<NA><NA>㈜이피아2013-12-24 11:20:07I2018-08-31 23:59:59<NA><NA><NA><NA><NA><NA><NA>
34방문판매업08_26_02_P341000020033410071232002662003-02-14<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>053 603 6008<NA><NA>대구광역시 중구 포정동 ** (*층 ***호)<NA><NA>하람2013-12-24 11:12:23I2018-08-31 23:59:59<NA><NA><NA><NA><NA><NA><NA>
45방문판매업08_26_02_P341000019973410071232000641997-09-29<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>053 426 2329<NA><NA>대구광역시 중구 북성로*가 *-*<NA><NA>데꼴라쥬패션2013-12-24 11:06:59I2018-08-31 23:59:59<NA><NA><NA><NA><NA><NA><NA>
56방문판매업08_26_02_P341000019973410071232000651997-09-29<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>053 423 5824<NA><NA>대구광역시 중구 동인*가 ***-*<NA><NA>㈜시티여행사2015-11-16 21:29:01I2018-08-31 23:59:59<NA><NA><NA><NA><NA><NA><NA>
67방문판매업08_26_02_P341000020023410071232002202002-06-28<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>053 421 4111<NA><NA>대구광역시 중구 공평동 *-* 덕원빌딩 *층<NA><NA>㈜라인커뮤니케이션2015-11-16 21:12:38I2018-08-31 23:59:59<NA><NA><NA><NA><NA><NA><NA>
78방문판매업08_26_02_P341000019973410071232000611997-08-28<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>053 423 7031<NA><NA>대구광역시 중구 북성*가 *-* 대우B/D 지하*호<NA><NA>디오르패션2013-12-24 11:06:16I2018-08-31 23:59:59<NA><NA><NA><NA><NA><NA><NA>
89방문판매업08_26_02_P341000019973410071232000721997-12-30<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>053 426 3106<NA><NA>대구광역시 중구 북성*가 *-* 대우B/D<NA><NA>샤리프패션2013-12-24 11:05:26I2018-08-31 23:59:59<NA><NA><NA><NA><NA><NA><NA>
910방문판매업08_26_02_P341000019993410071232001061999-09-30<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>053 421 7506<NA><NA>대구광역시 중구 문화동 *-*<NA><NA>㈜한솔화장품 대구지사2015-11-16 21:28:21I2018-08-31 23:59:59<NA><NA><NA><NA><NA><NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자산규모부채총액자본금판매방식명
41284129방문판매업08_26_02_P348000020163480326232000032016-06-10<NA>3폐업3폐업처리2020-10-12<NA><NA><NA>053-721-8979<NA><NA><NA>대구광역시 달성군 화원읍 비슬로 ****-*42953천궁의료기 화원점2020-10-12 13:48:57U2020-10-14 02:40:00<NA>335688.73125257157.80461<NA><NA><NA><NA>
41294130방문판매업08_26_02_P348000020173480326232000032017-03-06<NA>3폐업3폐업처리2017-10-16<NA><NA><NA>939-8230<NA><NA>대구광역시 달성군 화원읍 구라리 ****번지 **호대구광역시 달성군 화원읍 비슬로 ****, *, *층42952주식회사 엘레자코지 화원지점2017-10-16 11:10:27I2018-08-31 23:59:59<NA>336425.150882257568.819678601259839277345085323914754<NA>
41304131방문판매업08_26_02_P348000020173480358232000022017-06-16<NA>3폐업3폐업처리2018-05-18<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍면 테크노북로*길 **, ***동 ****호 (대구테크노폴리스엘에이치천년나무*단지)42995네이처팜2018-12-31 16:29:49U2019-01-02 02:40:00<NA>331059.88873244375.367004<NA><NA><NA><NA>
41314132방문판매업08_26_02_P348000020173480358232000032017-06-26<NA>3폐업3폐업처리2017-09-26<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍면 테크노북로*길 **, ***동 ****호 (대구테크노폴리스남해오네뜨*차)42995BM쇼핑몰2017-09-26 17:17:09I2018-08-31 23:59:59<NA>331616.74431244975.830767<NA><NA><NA><NA>
41324133방문판매업08_26_02_P348000020173480358232000042017-06-27<NA>3폐업3폐업처리2018-12-05<NA><NA><NA>053-585-5421<NA><NA><NA>대구광역시 달성군 다사읍 대실역북로*길 ***-*42911남양우유성서가정대리점2018-12-07 09:22:21U2018-12-09 02:40:00<NA>332510.151801263620.689736<NA><NA><NA><NA>
41334134방문판매업08_26_02_P348000020173480358232000072017-08-02<NA>3폐업3폐업처리2020-06-24<NA><NA><NA>053-637-0445<NA><NA><NA>대구광역시 달성군 화원읍 비슬로***길 **42962연세우유 화원대리점2020-06-24 11:21:19U2020-06-26 02:40:00<NA>335478.327171256756.884168<NA><NA><NA><NA>
41344135방문판매업08_26_02_P348000020173480358232000082017-09-05<NA>3폐업3폐업처리2018-04-30<NA><NA><NA>053-585-5709<NA><NA><NA>대구광역시 달성군 다사읍 죽곡*길 *-*, *층 ***호 (그린주차빌딩)42918동인비 신다사점2018-12-14 14:17:16U2018-12-16 02:40:00<NA>332227.145212262912.161541<NA><NA><NA><NA>
41354136방문판매업08_26_02_P348000020173480358232000092017-09-06<NA>3폐업3폐업처리2018-09-18<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 옥포면 비슬로***길 **, ***동 ****호 (미진이지비아)42971다원유통2018-09-19 16:00:32U2018-09-19 23:59:59<NA>332496.726491256070.297672<NA><NA><NA><NA>
41364137방문판매업08_26_02_P348000020173480358232000122017-10-11<NA>3폐업3폐업처리2022-04-14<NA><NA><NA><NA><NA><NA>대구광역시 달성군 옥포읍 기세리 ***번지 *호 보국사대구광역시 달성군 옥포읍 옥포로 ***, 보국사42972보국사2022-04-20 15:53:42U2022-04-22 02:40:00<NA>333667.83868254363.423432000<NA>
41374138방문판매업08_26_02_P348000020183480365232000022018-04-13<NA>3폐업3폐업처리2018-12-12<NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍면 부리 ***번지 *호대구광역시 달성군 현풍면 비슬로***길 ***, 금송빌딩 *층42999브이에스(VS) 신비2018-12-12 13:39:45U2018-12-14 02:40:00<NA>330587.050964245051.557951<NA><NA><NA><NA>