Overview

Dataset statistics

Number of variables32
Number of observations4192
Missing cells49875
Missing cells (%)37.2%
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

Description24년03월_6270000_대구광역시_08_26_02_P_방문판매업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000106680&dataSetDetailId=DDI_0000106694&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
인허가취소일자 has 3737 (89.1%) missing valuesMissing
폐업일자 has 2461 (58.7%) missing valuesMissing
휴업시작일자 has 4182 (99.8%) missing valuesMissing
휴업종료일자 has 4182 (99.8%) missing valuesMissing
재개업일자 has 4186 (99.9%) missing valuesMissing
소재지전화 has 894 (21.3%) missing valuesMissing
소재지면적 has 4192 (100.0%) missing valuesMissing
소재지우편번호 has 2763 (65.9%) missing valuesMissing
소재지전체주소 has 667 (15.9%) missing valuesMissing
도로명전체주소 has 1130 (27.0%) missing valuesMissing
도로명우편번호 has 2274 (54.2%) missing valuesMissing
업태구분명 has 4192 (100.0%) missing valuesMissing
좌표정보(X) has 1153 (27.5%) missing valuesMissing
좌표정보(Y) has 1153 (27.5%) missing valuesMissing
자산규모 has 2836 (67.7%) missing valuesMissing
부채총액 has 2843 (67.8%) missing valuesMissing
자본금 has 2838 (67.7%) missing valuesMissing
판매방식명 has 4192 (100.0%) missing valuesMissing
개방자치단체코드 is highly skewed (γ1 = 21.91804585)Skewed
자산규모 is highly skewed (γ1 = 30.7319207)Skewed
부채총액 is highly skewed (γ1 = 27.27762832)Skewed
자본금 is highly skewed (γ1 = 26.53685479)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 533 (12.7%) zerosZeros
부채총액 has 885 (21.1%) zerosZeros
자본금 has 503 (12.0%) zerosZeros

Reproduction

Analysis started2024-04-29 12:37:53.008053
Analysis finished2024-04-29 12:37:54.383758
Duration1.38 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct4192
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2096.5
Minimum1
Maximum4192
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size37.0 KiB
2024-04-29T21:37:54.463629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile210.55
Q11048.75
median2096.5
Q33144.25
95-th percentile3982.45
Maximum4192
Range4191
Interquartile range (IQR)2095.5

Descriptive statistics

Standard deviation1210.2705
Coefficient of variation (CV)0.57728142
Kurtosis-1.2
Mean2096.5
Median Absolute Deviation (MAD)1048
Skewness0
Sum8788528
Variance1464754.7
MonotonicityStrictly increasing
2024-04-29T21:37:54.589601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2786 1
 
< 0.1%
2788 1
 
< 0.1%
2789 1
 
< 0.1%
2790 1
 
< 0.1%
2791 1
 
< 0.1%
2792 1
 
< 0.1%
2793 1
 
< 0.1%
2794 1
 
< 0.1%
2795 1
 
< 0.1%
Other values (4182) 4182
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 (%)
4192 1
< 0.1%
4191 1
< 0.1%
4190 1
< 0.1%
4189 1
< 0.1%
4188 1
< 0.1%
4187 1
< 0.1%
4186 1
< 0.1%
4185 1
< 0.1%
4184 1
< 0.1%
4183 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.9 KiB
방문판매업
4192 

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 4192
100.0%

Length

2024-04-29T21:37:54.707503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:37:54.800785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
방문판매업 4192
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.9 KiB
08_26_02_P
4192 

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 4192
100.0%

Length

2024-04-29T21:37:54.892326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:37:54.985225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
08_26_02_p 4192
100.0%

개방자치단체코드
Real number (ℝ)

SKEWED 

Distinct9
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3443961.4
Minimum3410000
Maximum5141000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size37.0 KiB
2024-04-29T21:37:55.227360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13420000
median3440000
Q33460000
95-th percentile3470000
Maximum5141000
Range1731000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation68341.333
Coefficient of variation (CV)0.019843815
Kurtosis542.13505
Mean3443961.4
Median Absolute Deviation (MAD)20000
Skewness21.918046
Sum1.4437086 × 1010
Variance4.6705378 × 109
MonotonicityIncreasing
2024-04-29T21:37:55.327972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3410000 805
19.2%
3470000 740
17.7%
3420000 693
16.5%
3460000 656
15.6%
3450000 472
11.3%
3440000 392
9.4%
3430000 255
 
6.1%
3480000 173
 
4.1%
5141000 6
 
0.1%
ValueCountFrequency (%)
3410000 805
19.2%
3420000 693
16.5%
3430000 255
 
6.1%
3440000 392
9.4%
3450000 472
11.3%
3460000 656
15.6%
3470000 740
17.7%
3480000 173
 
4.1%
5141000 6
 
0.1%
ValueCountFrequency (%)
5141000 6
 
0.1%
3480000 173
 
4.1%
3470000 740
17.7%
3460000 656
15.6%
3450000 472
11.3%
3440000 392
9.4%
3430000 255
 
6.1%
3420000 693
16.5%
3410000 805
19.2%

관리번호
Real number (ℝ)

UNIQUE 

Distinct4192
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0106478 × 1018
Minimum1.996341 × 1018
Maximum2.024347 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size37.0 KiB
2024-04-29T21:37:55.448659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.996341 × 1018
5-th percentile1.999347 × 1018
Q12.005344 × 1018
median2.010343 × 1018
Q32.016344 × 1018
95-th percentile2.0223435 × 1018
Maximum2.024347 × 1018
Range2.8006013 × 1016
Interquartile range (IQR)1.1000003 × 1016

Descriptive statistics

Standard deviation6.8278407 × 1015
Coefficient of variation (CV)0.0033958411
Kurtosis-0.84397409
Mean2.0106478 × 1018
Median Absolute Deviation (MAD)5.0030073 × 1015
Skewness0.034707363
Sum-1.5262851 × 1018
Variance4.6619408 × 1031
MonotonicityNot monotonic
2024-04-29T21:37:55.585765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2002341007123200181 1
 
< 0.1%
2022346017723200010 1
 
< 0.1%
2022346017723200016 1
 
< 0.1%
2022346017723200013 1
 
< 0.1%
2022346017723200014 1
 
< 0.1%
2022346017723200015 1
 
< 0.1%
2022346017723200012 1
 
< 0.1%
2022346017723200023 1
 
< 0.1%
2021346017723200005 1
 
< 0.1%
2021346017723200007 1
 
< 0.1%
Other values (4182) 4182
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 (%)
2024347020123200004 1
< 0.1%
2024347020123200003 1
< 0.1%
2024347020123200002 1
< 0.1%
2024347020123200001 1
< 0.1%
2024346017723200002 1
< 0.1%
2024346017723200001 1
< 0.1%
2024345016023200003 1
< 0.1%
2024345016023200002 1
< 0.1%
2024345016023200001 1
< 0.1%
2024344012423200001 1
< 0.1%

인허가일자
Date

Distinct2866
Distinct (%)68.4%
Missing0
Missing (%)0.0%
Memory size32.9 KiB
Minimum1996-08-12 00:00:00
Maximum2024-03-21 00:00:00
2024-04-29T21:37:55.716582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:37:55.852814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Date

MISSING 

Distinct55
Distinct (%)12.1%
Missing3737
Missing (%)89.1%
Memory size32.9 KiB
Minimum2003-12-10 00:00:00
Maximum2022-03-10 00:00:00
2024-04-29T21:37:55.984788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:37:56.106123image/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 size32.9 KiB
3
1900 
4
1427 
1
859 
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 1900
45.3%
4 1427
34.0%
1 859
20.5%
2 6
 
0.1%

Length

2024-04-29T21:37:56.219259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:37:56.312531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1900
45.3%
4 1427
34.0%
1 859
20.5%
2 6
 
0.1%

영업상태명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.9 KiB
폐업
1900 
취소/말소/만료/정지/중지
1427 
영업/정상
859 
휴업
 
6

Length

Max length14
Median length5
Mean length6.699666
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 1900
45.3%
취소/말소/만료/정지/중지 1427
34.0%
영업/정상 859
20.5%
휴업 6
 
0.1%

Length

2024-04-29T21:37:56.419328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:37:56.520898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1900
45.3%
취소/말소/만료/정지/중지 1427
34.0%
영업/정상 859
20.5%
휴업 6
 
0.1%

상세영업상태코드
Real number (ℝ)

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.6261927
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size37.0 KiB
2024-04-29T21:37:56.611577image/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 deviation2.0574685
Coefficient of variation (CV)0.56739084
Kurtosis-0.78215986
Mean3.6261927
Median Absolute Deviation (MAD)1
Skewness0.58269395
Sum15201
Variance4.2331768
MonotonicityNot monotonic
2024-04-29T21:37:56.709463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 1900
45.3%
7 965
23.0%
1 854
20.4%
4 462
 
11.0%
2 6
 
0.1%
6 4
 
0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
1 854
20.4%
2 6
 
0.1%
3 1900
45.3%
4 462
 
11.0%
6 4
 
0.1%
7 965
23.0%
8 1
 
< 0.1%
ValueCountFrequency (%)
8 1
 
< 0.1%
7 965
23.0%
6 4
 
0.1%
4 462
 
11.0%
3 1900
45.3%
2 6
 
0.1%
1 854
20.4%

상세영업상태명
Categorical

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size32.9 KiB
폐업처리
1900 
직권말소
965 
정상영업
854 
직권취소
462 
휴업처리
 
6
Other values (2)
 
5

Length

Max length6
Median length4
Mean length4.0019084
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업처리 1900
45.3%
직권말소 965
23.0%
정상영업 854
20.4%
직권취소 462
 
11.0%
휴업처리 6
 
0.1%
타시군구전입 4
 
0.1%
영업재개 1
 
< 0.1%

Length

2024-04-29T21:37:56.827630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:37:56.941698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업처리 1900
45.3%
직권말소 965
23.0%
정상영업 854
20.4%
직권취소 462
 
11.0%
휴업처리 6
 
0.1%
타시군구전입 4
 
0.1%
영업재개 1
 
< 0.1%

폐업일자
Date

MISSING 

Distinct1269
Distinct (%)73.3%
Missing2461
Missing (%)58.7%
Memory size32.9 KiB
Minimum1997-05-08 00:00:00
Maximum2024-03-31 00:00:00
2024-04-29T21:37:57.063922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:37:57.201018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct10
Distinct (%)100.0%
Missing4182
Missing (%)99.8%
Memory size32.9 KiB
Minimum1997-04-15 00:00:00
Maximum2021-08-07 00:00:00
2024-04-29T21:37:57.304116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:37:57.398629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

휴업종료일자
Date

MISSING 

Distinct10
Distinct (%)100.0%
Missing4182
Missing (%)99.8%
Memory size32.9 KiB
Minimum1999-04-15 00:00:00
Maximum2021-12-07 00:00:00
2024-04-29T21:37:57.503221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:37:57.603737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

재개업일자
Date

MISSING 

Distinct6
Distinct (%)100.0%
Missing4186
Missing (%)99.9%
Memory size32.9 KiB
Minimum2009-03-04 00:00:00
Maximum2021-11-29 00:00:00
2024-04-29T21:37:57.708425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:37:57.807893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

소재지전화
Text

MISSING 

Distinct3093
Distinct (%)93.8%
Missing894
Missing (%)21.3%
Memory size32.9 KiB
2024-04-29T21:37:58.037831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12
Mean length11.557004
Min length6

Characters and Unicode

Total characters38115
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

Unique2919 ?
Unique (%)88.5%

Sample

1st row053 423 2227
2nd row053 424 3015
3rd row053 425 0002
4th row053 422 7422
5th row053 253 5671
ValueCountFrequency (%)
053 1264
 
21.6%
256 47
 
0.8%
429 46
 
0.8%
421 36
 
0.6%
255 35
 
0.6%
423 35
 
0.6%
426 32
 
0.5%
424 32
 
0.5%
422 31
 
0.5%
252 29
 
0.5%
Other values (3158) 4278
72.9%
2024-04-29T21:37:58.420817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 5826
15.3%
0 5509
14.5%
3 4958
13.0%
- 3124
8.2%
2 2979
7.8%
2615
6.9%
7 2475
6.5%
4 2406
6.3%
6 2403
6.3%
1 2142
 
5.6%
Other values (7) 3678
9.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 32351
84.9%
Dash Punctuation 3124
 
8.2%
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 5826
18.0%
0 5509
17.0%
3 4958
15.3%
2 2979
9.2%
7 2475
7.7%
4 2406
7.4%
6 2403
7.4%
1 2142
 
6.6%
8 1899
 
5.9%
9 1754
 
5.4%
Other Punctuation
ValueCountFrequency (%)
. 4
80.0%
/ 1
 
20.0%
Dash Punctuation
ValueCountFrequency (%)
- 3124
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 38115
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 5826
15.3%
0 5509
14.5%
3 4958
13.0%
- 3124
8.2%
2 2979
7.8%
2615
6.9%
7 2475
6.5%
4 2406
6.3%
6 2403
6.3%
1 2142
 
5.6%
Other values (7) 3678
9.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 38115
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 5826
15.3%
0 5509
14.5%
3 4958
13.0%
- 3124
8.2%
2 2979
7.8%
2615
6.9%
7 2475
6.5%
4 2406
6.3%
6 2403
6.3%
1 2142
 
5.6%
Other values (7) 3678
9.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4192
Missing (%)100.0%
Memory size37.0 KiB

소재지우편번호
Text

MISSING 

Distinct394
Distinct (%)27.6%
Missing2763
Missing (%)65.9%
Memory size32.9 KiB
2024-04-29T21:37:58.708749image/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 row700-719
5th row700-719
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%
2024-04-29T21:37:59.138054image/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 

Distinct2199
Distinct (%)62.4%
Missing667
Missing (%)15.9%
Memory size32.9 KiB
2024-04-29T21:37:59.459838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length44
Mean length24.319716
Min length7

Characters and Unicode

Total characters85727
Distinct characters415
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

Unique1680 ?
Unique (%)47.7%

Sample

1st row대구광역시 중구 남산*동 수도맨션 ***
2nd row대구광역시 중구 태평로*가 *-*** 라이프상가 ***호
3rd row대구광역시 중구 대봉동 **-** (*층)
4th row대구광역시 중구 남산동 *** 계산타워 **층
5th row대구광역시 중구 남일동 **-* 미도빌딩 **층 **호
ValueCountFrequency (%)
대구광역시 3209
18.1%
호 2058
 
11.6%
번지 2008
 
11.3%
1382
 
7.8%
층 720
 
4.1%
중구 717
 
4.0%
달서구 590
 
3.3%
수성구 536
 
3.0%
동구 414
 
2.3%
북구 372
 
2.1%
Other values (1134) 5702
32.2%
2024-04-29T21:37:59.937083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 18857
22.0%
17326
20.2%
구 6395
 
7.5%
동 3983
 
4.6%
대 3723
 
4.3%
시 3287
 
3.8%
광 3230
 
3.8%
역 3224
 
3.8%
지 2224
 
2.6%
호 2157
 
2.5%
Other values (405) 21321
24.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 47841
55.8%
Other Punctuation 18953
 
22.1%
Space Separator 17326
 
20.2%
Dash Punctuation 1296
 
1.5%
Uppercase Letter 163
 
0.2%
Open Punctuation 63
 
0.1%
Close Punctuation 63
 
0.1%
Lowercase Letter 19
 
< 0.1%
Math Symbol 2
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 6395
 
13.4%
동 3983
 
8.3%
대 3723
 
7.8%
시 3287
 
6.9%
광 3230
 
6.8%
역 3224
 
6.7%
지 2224
 
4.6%
호 2157
 
4.5%
번 2034
 
4.3%
성 1039
 
2.2%
Other values (365) 16545
34.6%
Uppercase Letter
ValueCountFrequency (%)
B 32
19.6%
A 20
12.3%
T 18
11.0%
K 17
10.4%
D 17
10.4%
S 11
 
6.7%
M 7
 
4.3%
C 7
 
4.3%
L 7
 
4.3%
O 6
 
3.7%
Other values (9) 21
12.9%
Lowercase Letter
ValueCountFrequency (%)
e 7
36.8%
t 2
 
10.5%
k 2
 
10.5%
b 2
 
10.5%
c 1
 
5.3%
m 1
 
5.3%
a 1
 
5.3%
s 1
 
5.3%
y 1
 
5.3%
d 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
* 18857
99.5%
/ 43
 
0.2%
, 38
 
0.2%
. 13
 
0.1%
@ 2
 
< 0.1%
Space Separator
ValueCountFrequency (%)
17326
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1296
100.0%
Open Punctuation
ValueCountFrequency (%)
( 63
100.0%
Close Punctuation
ValueCountFrequency (%)
) 63
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 47842
55.8%
Common 37703
44.0%
Latin 182
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 6395
 
13.4%
동 3983
 
8.3%
대 3723
 
7.8%
시 3287
 
6.9%
광 3230
 
6.8%
역 3224
 
6.7%
지 2224
 
4.6%
호 2157
 
4.5%
번 2034
 
4.3%
성 1039
 
2.2%
Other values (366) 16546
34.6%
Latin
ValueCountFrequency (%)
B 32
17.6%
A 20
11.0%
T 18
9.9%
K 17
9.3%
D 17
9.3%
S 11
 
6.0%
M 7
 
3.8%
C 7
 
3.8%
L 7
 
3.8%
e 7
 
3.8%
Other values (19) 39
21.4%
Common
ValueCountFrequency (%)
* 18857
50.0%
17326
46.0%
- 1296
 
3.4%
( 63
 
0.2%
) 63
 
0.2%
/ 43
 
0.1%
, 38
 
0.1%
. 13
 
< 0.1%
~ 2
 
< 0.1%
@ 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 47841
55.8%
ASCII 37885
44.2%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 18857
49.8%
17326
45.7%
- 1296
 
3.4%
( 63
 
0.2%
) 63
 
0.2%
/ 43
 
0.1%
, 38
 
0.1%
B 32
 
0.1%
A 20
 
0.1%
T 18
 
< 0.1%
Other values (29) 129
 
0.3%
Hangul
ValueCountFrequency (%)
구 6395
 
13.4%
동 3983
 
8.3%
대 3723
 
7.8%
시 3287
 
6.9%
광 3230
 
6.8%
역 3224
 
6.7%
지 2224
 
4.6%
호 2157
 
4.5%
번 2034
 
4.3%
성 1039
 
2.2%
Other values (365) 16545
34.6%
None
ValueCountFrequency (%)
㈜ 1
100.0%

도로명전체주소
Text

MISSING 

Distinct2335
Distinct (%)76.3%
Missing1130
Missing (%)27.0%
Memory size32.9 KiB
2024-04-29T21:38:00.260572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length51
Mean length29.664925
Min length11

Characters and Unicode

Total characters90834
Distinct characters426
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

Unique1952 ?
Unique (%)63.7%

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 (%)
3070
17.1%
대구광역시 3061
17.0%
층 882
 
4.9%
호 717
 
4.0%
달서구 586
 
3.3%
동구 492
 
2.7%
수성구 473
 
2.6%
북구 463
 
2.6%
중구 363
 
2.0%
남구 326
 
1.8%
Other values (1698) 7564
42.0%
2024-04-29T21:38:00.680182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 14982
16.5%
14957
16.5%
구 6485
 
7.1%
동 4351
 
4.8%
대 4210
 
4.6%
시 3150
 
3.5%
역 3098
 
3.4%
광 3075
 
3.4%
로 3008
 
3.3%
) 2958
 
3.3%
Other values (416) 30560
33.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 51955
57.2%
Other Punctuation 17370
 
19.1%
Space Separator 14957
 
16.5%
Close Punctuation 2958
 
3.3%
Open Punctuation 2957
 
3.3%
Dash Punctuation 476
 
0.5%
Uppercase Letter 140
 
0.2%
Lowercase Letter 19
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 6485
 
12.5%
동 4351
 
8.4%
대 4210
 
8.1%
시 3150
 
6.1%
역 3098
 
6.0%
광 3075
 
5.9%
로 3008
 
5.8%
층 1191
 
2.3%
길 1152
 
2.2%
성 1087
 
2.1%
Other values (383) 21148
40.7%
Uppercase Letter
ValueCountFrequency (%)
K 25
17.9%
B 24
17.1%
T 20
14.3%
A 19
13.6%
S 14
10.0%
L 7
 
5.0%
H 7
 
5.0%
C 5
 
3.6%
P 4
 
2.9%
D 4
 
2.9%
Other values (7) 11
7.9%
Lowercase Letter
ValueCountFrequency (%)
e 12
63.2%
k 2
 
10.5%
t 2
 
10.5%
a 1
 
5.3%
s 1
 
5.3%
y 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
* 14982
86.3%
, 2377
 
13.7%
/ 5
 
< 0.1%
. 4
 
< 0.1%
@ 2
 
< 0.1%
Space Separator
ValueCountFrequency (%)
14957
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2958
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2957
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 476
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 51955
57.2%
Common 38720
42.6%
Latin 159
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 6485
 
12.5%
동 4351
 
8.4%
대 4210
 
8.1%
시 3150
 
6.1%
역 3098
 
6.0%
광 3075
 
5.9%
로 3008
 
5.8%
층 1191
 
2.3%
길 1152
 
2.2%
성 1087
 
2.1%
Other values (383) 21148
40.7%
Latin
ValueCountFrequency (%)
K 25
15.7%
B 24
15.1%
T 20
12.6%
A 19
11.9%
S 14
8.8%
e 12
7.5%
L 7
 
4.4%
H 7
 
4.4%
C 5
 
3.1%
P 4
 
2.5%
Other values (13) 22
13.8%
Common
ValueCountFrequency (%)
* 14982
38.7%
14957
38.6%
) 2958
 
7.6%
( 2957
 
7.6%
, 2377
 
6.1%
- 476
 
1.2%
/ 5
 
< 0.1%
. 4
 
< 0.1%
@ 2
 
< 0.1%
~ 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 51955
57.2%
ASCII 38879
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 14982
38.5%
14957
38.5%
) 2958
 
7.6%
( 2957
 
7.6%
, 2377
 
6.1%
- 476
 
1.2%
K 25
 
0.1%
B 24
 
0.1%
T 20
 
0.1%
A 19
 
< 0.1%
Other values (23) 84
 
0.2%
Hangul
ValueCountFrequency (%)
구 6485
 
12.5%
동 4351
 
8.4%
대 4210
 
8.1%
시 3150
 
6.1%
역 3098
 
6.0%
광 3075
 
5.9%
로 3008
 
5.8%
층 1191
 
2.3%
길 1152
 
2.2%
성 1087
 
2.1%
Other values (383) 21148
40.7%

도로명우편번호
Text

MISSING 

Distinct1042
Distinct (%)54.3%
Missing2274
Missing (%)54.2%
Memory size32.9 KiB
2024-04-29T21:38:00.992563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.6840459
Min length5

Characters and Unicode

Total characters10902
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

Unique590 ?
Unique (%)30.8%

Sample

1st row41962
2nd row41926
3rd row41906
4th row41904
5th row700-719
ValueCountFrequency (%)
705-810 14
 
0.7%
41940 13
 
0.7%
42028 11
 
0.6%
41260 11
 
0.6%
700-719 10
 
0.5%
41208 8
 
0.4%
42661 8
 
0.4%
701-824 8
 
0.4%
42739 7
 
0.4%
42642 7
 
0.4%
Other values (1032) 1821
94.9%
2024-04-29T21:38:01.418130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 1977
18.1%
0 1480
13.6%
1 1385
12.7%
2 1323
12.1%
7 1140
10.5%
8 755
 
6.9%
- 656
 
6.0%
6 638
 
5.9%
3 519
 
4.8%
5 518
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10246
94.0%
Dash Punctuation 656
 
6.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 1977
19.3%
0 1480
14.4%
1 1385
13.5%
2 1323
12.9%
7 1140
11.1%
8 755
 
7.4%
6 638
 
6.2%
3 519
 
5.1%
5 518
 
5.1%
9 511
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 656
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10902
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 1977
18.1%
0 1480
13.6%
1 1385
12.7%
2 1323
12.1%
7 1140
10.5%
8 755
 
6.9%
- 656
 
6.0%
6 638
 
5.9%
3 519
 
4.8%
5 518
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10902
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 1977
18.1%
0 1480
13.6%
1 1385
12.7%
2 1323
12.1%
7 1140
10.5%
8 755
 
6.9%
- 656
 
6.0%
6 638
 
5.9%
3 519
 
4.8%
5 518
 
4.8%

사업장명
Text

Distinct3889
Distinct (%)92.8%
Missing0
Missing (%)0.0%
Memory size32.9 KiB
2024-04-29T21:38:01.657391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length27
Mean length7.4355916
Min length1

Characters and Unicode

Total characters31170
Distinct characters718
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

Unique3679 ?
Unique (%)87.8%

Sample

1st row이롬라이프 대구삼덕점
2nd row㈜금수강산 코리아타운
3rd row화남실업
4th row소호마트 에이스대리점
5th row세화바이오
ValueCountFrequency (%)
주식회사 271
 
4.9%
주 63
 
1.1%
마임 42
 
0.8%
인셀덤 30
 
0.5%
대리점 27
 
0.5%
김정문알로에 22
 
0.4%
윤선생영어교실 22
 
0.4%
대구 22
 
0.4%
한불화장품 21
 
0.4%
코웨이 21
 
0.4%
Other values (4165) 5026
90.3%
2024-04-29T21:38:02.076186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1379
 
4.4%
대 954
 
3.1%
사 888
 
2.8%
주 802
 
2.6%
이 742
 
2.4%
리 716
 
2.3%
지 637
 
2.0%
스 611
 
2.0%
( 603
 
1.9%
) 603
 
1.9%
Other values (708) 23235
74.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27095
86.9%
Space Separator 1379
 
4.4%
Uppercase Letter 644
 
2.1%
Open Punctuation 603
 
1.9%
Close Punctuation 603
 
1.9%
Lowercase Letter 355
 
1.1%
Other Symbol 273
 
0.9%
Other Punctuation 124
 
0.4%
Decimal Number 71
 
0.2%
Dash Punctuation 22
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 954
 
3.5%
사 888
 
3.3%
주 802
 
3.0%
이 742
 
2.7%
리 716
 
2.6%
지 637
 
2.4%
스 611
 
2.3%
점 565
 
2.1%
아 482
 
1.8%
구 477
 
1.8%
Other values (639) 20221
74.6%
Uppercase Letter
ValueCountFrequency (%)
S 73
 
11.3%
K 64
 
9.9%
C 57
 
8.9%
T 50
 
7.8%
M 42
 
6.5%
I 37
 
5.7%
D 33
 
5.1%
G 29
 
4.5%
B 28
 
4.3%
L 27
 
4.2%
Other values (14) 204
31.7%
Lowercase Letter
ValueCountFrequency (%)
o 44
12.4%
e 43
12.1%
a 28
 
7.9%
i 28
 
7.9%
n 23
 
6.5%
r 23
 
6.5%
t 22
 
6.2%
c 21
 
5.9%
s 19
 
5.4%
l 18
 
5.1%
Other values (13) 86
24.2%
Decimal Number
ValueCountFrequency (%)
1 28
39.4%
2 11
 
15.5%
0 9
 
12.7%
4 7
 
9.9%
3 5
 
7.0%
5 3
 
4.2%
6 2
 
2.8%
8 2
 
2.8%
9 2
 
2.8%
7 2
 
2.8%
Other Punctuation
ValueCountFrequency (%)
. 66
53.2%
& 33
26.6%
, 20
 
16.1%
/ 3
 
2.4%
· 1
 
0.8%
# 1
 
0.8%
Space Separator
ValueCountFrequency (%)
1379
100.0%
Open Punctuation
ValueCountFrequency (%)
( 603
100.0%
Close Punctuation
ValueCountFrequency (%)
) 603
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 27362
87.8%
Common 2803
 
9.0%
Latin 999
 
3.2%
Han 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 954
 
3.5%
사 888
 
3.2%
주 802
 
2.9%
이 742
 
2.7%
리 716
 
2.6%
지 637
 
2.3%
스 611
 
2.2%
점 565
 
2.1%
아 482
 
1.8%
구 477
 
1.7%
Other values (634) 20488
74.9%
Latin
ValueCountFrequency (%)
S 73
 
7.3%
K 64
 
6.4%
C 57
 
5.7%
T 50
 
5.0%
o 44
 
4.4%
e 43
 
4.3%
M 42
 
4.2%
I 37
 
3.7%
D 33
 
3.3%
G 29
 
2.9%
Other values (37) 527
52.8%
Common
ValueCountFrequency (%)
1379
49.2%
( 603
21.5%
) 603
21.5%
. 66
 
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) 29
 
1.0%
Han
ValueCountFrequency (%)
煐 1
16.7%
參 1
16.7%
美 1
16.7%
秀 1
16.7%
醫 1
16.7%
內 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27088
86.9%
ASCII 3801
 
12.2%
None 274
 
0.9%
CJK 5
 
< 0.1%
Compat Jamo 1
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1379
36.3%
( 603
15.9%
) 603
15.9%
S 73
 
1.9%
. 66
 
1.7%
K 64
 
1.7%
C 57
 
1.5%
T 50
 
1.3%
o 44
 
1.2%
e 43
 
1.1%
Other values (57) 819
21.5%
Hangul
ValueCountFrequency (%)
대 954
 
3.5%
사 888
 
3.3%
주 802
 
3.0%
이 742
 
2.7%
리 716
 
2.6%
지 637
 
2.4%
스 611
 
2.3%
점 565
 
2.1%
아 482
 
1.8%
구 477
 
1.8%
Other values (632) 20214
74.6%
None
ValueCountFrequency (%)
㈜ 273
99.6%
· 1
 
0.4%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%
CJK
ValueCountFrequency (%)
煐 1
20.0%
美 1
20.0%
秀 1
20.0%
醫 1
20.0%
內 1
20.0%
CJK Compat Ideographs
ValueCountFrequency (%)
參 1
100.0%

최종수정시점
Date

Distinct3962
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Memory size32.9 KiB
Minimum2007-07-13 13:31:33
Maximum2024-03-31 16:13:41
2024-04-29T21:38:02.437278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:38:02.577337image/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 size32.9 KiB
I
3482 
U
710 

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 3482
83.1%
U 710
 
16.9%

Length

2024-04-29T21:38:02.703162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:38:02.802646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 3482
83.1%
u 710
 
16.9%

데이터갱신일자
Date

Distinct769
Distinct (%)18.3%
Missing0
Missing (%)0.0%
Memory size32.9 KiB
Minimum2018-08-31 23:59:59
Maximum2024-04-02 02:40:00
2024-04-29T21:38:02.906944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:38:03.029969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4192
Missing (%)100.0%
Memory size37.0 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct2288
Distinct (%)75.3%
Missing1153
Missing (%)27.5%
Infinite0
Infinite (%)0.0%
Mean343339.8
Minimum320685.91
Maximum411802.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size37.0 KiB
2024-04-29T21:38:03.175429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum320685.91
5-th percentile335347.53
Q1340036.61
median343650.56
Q3346305.61
95-th percentile352875.05
Maximum411802.02
Range91116.119
Interquartile range (IQR)6269.0036

Descriptive statistics

Standard deviation5038.9498
Coefficient of variation (CV)0.014676276
Kurtosis13.21823
Mean343339.8
Median Absolute Deviation (MAD)3115.4104
Skewness1.0192498
Sum1.0434097 × 109
Variance25391015
MonotonicityNot monotonic
2024-04-29T21:38:03.296149image/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%
346854.596149695 8
 
0.2%
346942.691096638 8
 
0.2%
341316.891342365 8
 
0.2%
351244.303824215 6
 
0.1%
341400.396373234 6
 
0.1%
346708.407018948 6
 
0.1%
Other values (2278) 2916
69.6%
(Missing) 1153
 
27.5%
ValueCountFrequency (%)
320685.90565124 1
< 0.1%
327726.873050023 1
< 0.1%
328475.294032464 1
< 0.1%
328477.67690472 1
< 0.1%
329412.236996563 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%
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%
356351.617490545 1
< 0.1%
356325.33935912 1
< 0.1%
356321.036355612 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct2288
Distinct (%)75.3%
Missing1153
Missing (%)27.5%
Infinite0
Infinite (%)0.0%
Mean263588.01
Minimum186676.31
Maximum306443.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size37.0 KiB
2024-04-29T21:38:03.423045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum186676.31
5-th percentile257894.85
Q1261483.06
median263532.01
Q3265205.74
95-th percentile271267.44
Maximum306443.94
Range119767.64
Interquartile range (IQR)3722.682

Descriptive statistics

Standard deviation4693.9872
Coefficient of variation (CV)0.017808046
Kurtosis35.796616
Mean263588.01
Median Absolute Deviation (MAD)1934.7741
Skewness-0.69019983
Sum8.0104395 × 108
Variance22033516
MonotonicityNot monotonic
2024-04-29T21:38:03.548382image/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%
264420.293468893 8
 
0.2%
263989.847736771 8
 
0.2%
263332.034502933 8
 
0.2%
265486.974841171 6
 
0.1%
261002.030482824 6
 
0.1%
264492.86063878 6
 
0.1%
Other values (2278) 2916
69.6%
(Missing) 1153
 
27.5%
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 2
< 0.1%
244379.819416086 2
< 0.1%
244614.169050611 1
< 0.1%
244678.418275371 1
< 0.1%
244688.826142842 1
< 0.1%
ValueCountFrequency (%)
306443.942949618 1
 
< 0.1%
305647.023977654 1
 
< 0.1%
305479.982034459 1
 
< 0.1%
305050.642143185 1
 
< 0.1%
298507.158794778 1
 
< 0.1%
292580.459555185 1
 
< 0.1%
292186.69546942 1
 
< 0.1%
279782.459187116 1
 
< 0.1%
278032.753892201 1
 
< 0.1%
277749.024028649 6
0.1%

자산규모
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct453
Distinct (%)33.4%
Missing2836
Missing (%)67.7%
Infinite0
Infinite (%)0.0%
Mean1.6648997 × 1010
Minimum0
Maximum8.740706 × 1012
Zeros533
Zeros (%)12.7%
Negative0
Negative (%)0.0%
Memory size37.0 KiB
2024-04-29T21:38:03.685001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median35675276
Q31.8347955 × 108
95-th percentile4.6914836 × 109
Maximum8.740706 × 1012
Range8.740706 × 1012
Interquartile range (IQR)1.8347955 × 108

Descriptive statistics

Standard deviation2.5359507 × 1011
Coefficient of variation (CV)15.231852
Kurtosis1039.6592
Mean1.6648997 × 1010
Median Absolute Deviation (MAD)35675276
Skewness30.731921
Sum2.2576041 × 1013
Variance6.4310459 × 1022
MonotonicityNot monotonic
2024-04-29T21:38:03.816038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 533
 
12.7%
50000000 121
 
2.9%
100000000 63
 
1.5%
10000000 39
 
0.9%
30000000 25
 
0.6%
20000000 16
 
0.4%
200000000 15
 
0.4%
150000000 14
 
0.3%
300000000 11
 
0.3%
1000000 9
 
0.2%
Other values (443) 510
 
12.2%
(Missing) 2836
67.7%
ValueCountFrequency (%)
0 533
12.7%
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%
706808180000 1
< 0.1%
698727032000 1
< 0.1%
697285555116 1
< 0.1%
552004233250 1
< 0.1%

부채총액
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct410
Distinct (%)30.4%
Missing2843
Missing (%)67.8%
Infinite0
Infinite (%)0.0%
Mean1.2284558 × 1010
Minimum-10000000
Maximum5.574533 × 1012
Zeros885
Zeros (%)21.1%
Negative1
Negative (%)< 0.1%
Memory size37.0 KiB
2024-04-29T21:38:03.949319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-10000000
5-th percentile0
Q10
median0
Q344627577
95-th percentile3.2984555 × 109
Maximum5.574533 × 1012
Range5.574543 × 1012
Interquartile range (IQR)44627577

Descriptive statistics

Standard deviation1.7068813 × 1011
Coefficient of variation (CV)13.894528
Kurtosis852.68566
Mean1.2284558 × 1010
Median Absolute Deviation (MAD)0
Skewness27.277628
Sum1.6571869 × 1013
Variance2.9134438 × 1022
MonotonicityNot monotonic
2024-04-29T21:38:04.075983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 885
 
21.1%
10000000 10
 
0.2%
20000000 10
 
0.2%
50000000 8
 
0.2%
100000000 5
 
0.1%
30000000 5
 
0.1%
5000000 4
 
0.1%
15000000 4
 
0.1%
3000000 4
 
0.1%
120000000 4
 
0.1%
Other values (400) 410
 
9.8%
(Missing) 2843
67.8%
ValueCountFrequency (%)
-10000000 1
 
< 0.1%
0 885
21.1%
300 1
 
< 0.1%
13676 1
 
< 0.1%
13800 1
 
< 0.1%
21200 1
 
< 0.1%
56209 1
 
< 0.1%
233810 1
 
< 0.1%
440000 1
 
< 0.1%
480000 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%
387657073000 1
< 0.1%

자본금
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct234
Distinct (%)17.3%
Missing2838
Missing (%)67.7%
Infinite0
Infinite (%)0.0%
Mean1.7151227 × 109
Minimum-1.8149666 × 108
Maximum6.48654 × 1011
Zeros503
Zeros (%)12.0%
Negative4
Negative (%)0.1%
Memory size37.0 KiB
2024-04-29T21:38:04.209427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.8149666 × 108
5-th percentile0
Q10
median30000000
Q31 × 108
95-th percentile1.0743917 × 109
Maximum6.48654 × 1011
Range6.488355 × 1011
Interquartile range (IQR)1 × 108

Descriptive statistics

Standard deviation1.9990168 × 1010
Coefficient of variation (CV)11.65524
Kurtosis822.91862
Mean1.7151227 × 109
Median Absolute Deviation (MAD)30000000
Skewness26.536855
Sum2.3222762 × 1012
Variance3.996068 × 1020
MonotonicityNot monotonic
2024-04-29T21:38:04.358697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 503
 
12.0%
50000000 223
 
5.3%
100000000 93
 
2.2%
10000000 56
 
1.3%
300000000 31
 
0.7%
200000000 30
 
0.7%
30000000 30
 
0.7%
20000000 27
 
0.6%
150000000 19
 
0.5%
500000000 16
 
0.4%
Other values (224) 326
 
7.8%
(Missing) 2838
67.7%
ValueCountFrequency (%)
-181496664 1
 
< 0.1%
-148107720 1
 
< 0.1%
-75042217 1
 
< 0.1%
-16037743 1
 
< 0.1%
0 503
12.0%
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 

Missing4192
Missing (%)100.0%
Memory size37.0 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자산규모부채총액자본금판매방식명
01방문판매업08_26_02_P341000020023410071232001812002-01-07<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>053 423 2227<NA><NA>대구광역시 중구 남산*동 수도맨션 ***<NA><NA>이롬라이프 대구삼덕점2016-12-30 16:12:58I2018-08-31 23:59:59<NA><NA><NA><NA><NA><NA><NA>
12방문판매업08_26_02_P341000020033410071232002642003-02-07<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>053 424 3015<NA><NA>대구광역시 중구 태평로*가 *-*** 라이프상가 ***호<NA><NA>㈜금수강산 코리아타운2012-04-23 15:52:17I2018-08-31 23:59:59<NA><NA><NA><NA><NA><NA><NA>
23방문판매업08_26_02_P341000020023410071232002572002-12-31<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>053 425 0002<NA><NA>대구광역시 중구 대봉동 **-** (*층)<NA><NA>화남실업2013-12-24 11:35:53I2018-08-31 23:59:59<NA><NA><NA><NA><NA><NA><NA>
34방문판매업08_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>
45방문판매업08_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>
56방문판매업08_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>
67방문판매업08_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>
78방문판매업08_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>
89방문판매업08_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>
910방문판매업08_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>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자산규모부채총액자본금판매방식명
41824183방문판매업08_26_02_P348000020053480271232000302005-06-30<NA>3폐업3폐업처리2009-09-10<NA><NA><NA>053 745 2356<NA><NA>대구광역시 달성군 화원읍 천내리 ***-**<NA><NA>세기정밀2009-09-11 14:12:41I2018-08-31 23:59:59<NA><NA><NA><NA><NA><NA><NA>
41834184방문판매업08_26_02_P348000020063480271232000332006-09-27<NA>3폐업3폐업처리2010-12-14<NA><NA><NA><NA><NA><NA>대구광역시 달성군 논공읍 금포리 ****<NA><NA>영호유통2010-12-14 17:30:55I2018-08-31 23:59:59<NA><NA><NA><NA><NA><NA><NA>
41844185방문판매업08_26_02_P348000020073480271232000342007-01-04<NA>3폐업3폐업처리2011-01-01<NA><NA><NA>053 585 7988<NA><NA>대구광역시 달성군 다사읍 서재리 ***<NA><NA>㈜제일통신2011-06-10 16:54:18I2018-08-31 23:59:59<NA><NA><NA><NA><NA><NA><NA>
41854186방문판매업08_26_02_P348000020083480289232000062008-06-04<NA>3폐업3폐업처리2010-12-14<NA><NA><NA>643-5001<NA>711-832대구광역시 달성군 화원읍 명곡리 ***번지대구광역시 달성군 화원읍 명천로 ***<NA>철갑상어월드2010-12-14 17:27:47I2018-08-31 23:59:59<NA>334702.441305256308.865022<NA><NA><NA><NA>
41864187방문판매업08_26_02_P514100020175140085232000012017-09-12<NA>1영업/정상1정상영업<NA><NA><NA><NA>054-383-2084<NA><NA><NA>대구광역시 군위군 소보면 송백로 ****39004대한불교조계종 고원사 불교홍보관2017-09-14 09:32:36I2023-07-01 16:42:10<NA>332600.507389306443.94295000<NA>
41874188방문판매업08_26_02_P514100020175140085232000022017-11-24<NA>1영업/정상1정상영업<NA><NA><NA><NA>054-383-2981<NA><NA>대구광역시 군위군 군위읍 동부리 ***번지 *호 군위농협대구광역시 군위군 군위읍 중앙길 ***39014군위농업협동조합2017-11-24 14:29:39I2023-07-01 16:42:10<NA>340904.542368305479.98203439963105700036407161700029054930900<NA>
41884189방문판매업08_26_02_P514100020165140085232000012015-03-19<NA>3폐업3폐업처리2018-06-21<NA><NA><NA><NA><NA><NA><NA>대구광역시 군위군 효령면 경북대로 ****39037주식회사케이디씨정보기술2018-06-22 11:29:11I2023-07-01 16:42:10<NA>341833.543144292186.6954691600000000160000000<NA>
41894190방문판매업08_26_02_P514100020205140085232000012020-09-17<NA>1영업/정상1정상영업<NA><NA><NA><NA>054-383-0050<NA><NA>대구광역시 군위군 군위읍 동부리 ***-*대구광역시 군위군 군위읍 도군로 ****39014쌍용자동차 군위영업소2020-09-17 16:42:39I2023-07-01 16:42:10<NA>340978.836798305647.023978000<NA>
41904191방문판매업08_26_02_P514100020235140108232000012023-04-12<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 군위군 군위읍 서부리 ***-*대구광역시 군위군 군위읍 동서길 **, *층39017홀쇼핑2023-04-12 17:48:09I2023-07-01 16:42:10<NA>340621.631629305050.642143000<NA>
41914192방문판매업08_26_02_P514100020185140085232000012018-03-07<NA>1영업/정상1정상영업<NA><NA><NA><NA>054-382-7181<NA><NA>대구광역시 군위군 의흥면 읍내리 ***번지 *호 팔공농협대구광역시 군위군 의흥면 읍내길 **, 팔공농협39049팔공농업협동조합2019-06-14 11:17:38I2023-07-01 16:42:10<NA>354212.164128298507.15879517675800016387000012888000<NA>