Overview

Dataset statistics

Number of variables32
Number of observations789
Missing cells6993
Missing cells (%)27.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory207.4 KiB
Average record size in memory269.2 B

Variable types

Numeric9
Categorical7
DateTime7
Text6
Unsupported3

Dataset

Description23년12월_6270000_대구광역시_08_26_03_P_전화권유판매업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000104244&dataSetDetailId=DDI_0000104295&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
인허가취소일자 is highly imbalanced (86.1%)Imbalance
폐업일자 has 171 (21.7%) missing valuesMissing
휴업시작일자 has 785 (99.5%) missing valuesMissing
휴업종료일자 has 785 (99.5%) missing valuesMissing
재개업일자 has 787 (99.7%) missing valuesMissing
소재지전화 has 142 (18.0%) missing valuesMissing
소재지면적 has 789 (100.0%) missing valuesMissing
소재지우편번호 has 373 (47.3%) missing valuesMissing
소재지전체주소 has 172 (21.8%) missing valuesMissing
도로명전체주소 has 19 (2.4%) missing valuesMissing
도로명우편번호 has 360 (45.6%) missing valuesMissing
업태구분명 has 789 (100.0%) missing valuesMissing
좌표정보(X) has 21 (2.7%) missing valuesMissing
좌표정보(Y) has 21 (2.7%) missing valuesMissing
자산규모 has 330 (41.8%) missing valuesMissing
부채총액 has 330 (41.8%) missing valuesMissing
자본금 has 330 (41.8%) missing valuesMissing
판매방식명 has 789 (100.0%) missing valuesMissing
개방자치단체코드 is highly skewed (γ1 = 23.03561842)Skewed
부채총액 is highly skewed (γ1 = 20.24569059)Skewed
번호 has unique valuesUnique
관리번호 has unique valuesUnique
최종수정시점 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 85 (10.8%) zerosZeros
부채총액 has 237 (30.0%) zerosZeros
자본금 has 66 (8.4%) zerosZeros

Reproduction

Analysis started2024-03-13 13:42:55.333395
Analysis finished2024-03-13 13:42:56.171491
Duration0.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct789
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean395
Minimum1
Maximum789
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-03-13T22:42:56.243251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile40.4
Q1198
median395
Q3592
95-th percentile749.6
Maximum789
Range788
Interquartile range (IQR)394

Descriptive statistics

Standard deviation227.90897
Coefficient of variation (CV)0.57698474
Kurtosis-1.2
Mean395
Median Absolute Deviation (MAD)197
Skewness0
Sum311655
Variance51942.5
MonotonicityStrictly increasing
2024-03-13T22:42:56.408293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
520 1
 
0.1%
522 1
 
0.1%
523 1
 
0.1%
524 1
 
0.1%
525 1
 
0.1%
526 1
 
0.1%
527 1
 
0.1%
528 1
 
0.1%
529 1
 
0.1%
Other values (779) 779
98.7%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
789 1
0.1%
788 1
0.1%
787 1
0.1%
786 1
0.1%
785 1
0.1%
784 1
0.1%
783 1
0.1%
782 1
0.1%
781 1
0.1%
780 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
전화권유판매업
789 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전화권유판매업 789
100.0%

Length

2024-03-13T22:42:56.577961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:42:56.671438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전화권유판매업 789
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
08_26_03_P
789 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row08_26_03_P
2nd row08_26_03_P
3rd row08_26_03_P
4th row08_26_03_P
5th row08_26_03_P

Common Values

ValueCountFrequency (%)
08_26_03_P 789
100.0%

Length

2024-03-13T22:42:56.763691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:42:56.851077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
08_26_03_p 789
100.0%

개방자치단체코드
Real number (ℝ)

SKEWED 

Distinct9
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3441534.9
Minimum3410000
Maximum5141000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-03-13T22:42:56.933915image/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 deviation64709.839
Coefficient of variation (CV)0.018802611
Kurtosis605.35561
Mean3441534.9
Median Absolute Deviation (MAD)20000
Skewness23.035618
Sum2.715371 × 109
Variance4.1873633 × 109
MonotonicityIncreasing
2024-03-13T22:42:57.037690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3410000 178
22.6%
3470000 126
16.0%
3420000 121
15.3%
3460000 121
15.3%
3450000 92
11.7%
3440000 90
11.4%
3430000 45
 
5.7%
3480000 15
 
1.9%
5141000 1
 
0.1%
ValueCountFrequency (%)
3410000 178
22.6%
3420000 121
15.3%
3430000 45
 
5.7%
3440000 90
11.4%
3450000 92
11.7%
3460000 121
15.3%
3470000 126
16.0%
3480000 15
 
1.9%
5141000 1
 
0.1%
ValueCountFrequency (%)
5141000 1
 
0.1%
3480000 15
 
1.9%
3470000 126
16.0%
3460000 121
15.3%
3450000 92
11.7%
3440000 90
11.4%
3430000 45
 
5.7%
3420000 121
15.3%
3410000 178
22.6%

관리번호
Real number (ℝ)

UNIQUE 

Distinct789
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0127295 × 1018
Minimum2.003342 × 1018
Maximum2.023348 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-03-13T22:42:57.169881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.003342 × 1018
5-th percentile2.005346 × 1018
Q12.008341 × 1018
median2.011348 × 1018
Q32.016346 × 1018
95-th percentile2.0223436 × 1018
Maximum2.023348 × 1018
Range2.0006028 × 1016
Interquartile range (IQR)8.0050069 × 1015

Descriptive statistics

Standard deviation5.2155325 × 1015
Coefficient of variation (CV)0.0025912735
Kurtosis-0.96274268
Mean2.0127295 × 1018
Median Absolute Deviation (MAD)3.9979849 × 1015
Skewness0.40330225
Sum1.6235556 × 1018
Variance2.720178 × 1031
MonotonicityNot monotonic
2024-03-13T22:42:57.305281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2008341007124200046 1
 
0.1%
2022345016024200001 1
 
0.1%
2010345009924200002 1
 
0.1%
2014345009924200004 1
 
0.1%
2015345014224200007 1
 
0.1%
2016345014224200004 1
 
0.1%
2010345009924200006 1
 
0.1%
2017346014024200003 1
 
0.1%
2017346014024200004 1
 
0.1%
2017346014024200005 1
 
0.1%
Other values (779) 779
98.7%
ValueCountFrequency (%)
2003342009024200001 1
0.1%
2003342009024200002 1
0.1%
2003346008124200003 1
0.1%
2003346008124200004 1
0.1%
2003346008124200005 1
0.1%
2003346008124200006 1
0.1%
2003346008124200007 1
0.1%
2003346008124200008 1
0.1%
2004342009024200001 1
0.1%
2004344007324200008 1
0.1%
ValueCountFrequency (%)
2023348036524200002 1
0.1%
2023348036524200001 1
0.1%
2023347018124200008 1
0.1%
2023347018124200007 1
0.1%
2023347018124200006 1
0.1%
2023347018124200005 1
0.1%
2023347018124200004 1
0.1%
2023347018124200003 1
0.1%
2023347018124200002 1
0.1%
2023347018124200001 1
0.1%

인허가일자
Date

Distinct673
Distinct (%)85.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
Minimum2000-08-25 00:00:00
Maximum2023-11-14 00:00:00
2024-03-13T22:42:57.439643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T22:42:57.575448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct23
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
<NA>
735 
2012-08-23
 
8
2009-01-22
 
8
2008-09-30
 
6
2009-08-28
 
5
Other values (18)
 
27

Length

Max length10
Median length4
Mean length4.4106464
Min length4

Unique

Unique14 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 735
93.2%
2012-08-23 8
 
1.0%
2009-01-22 8
 
1.0%
2008-09-30 6
 
0.8%
2009-08-28 5
 
0.6%
2009-08-13 4
 
0.5%
2008-08-12 4
 
0.5%
2008-07-15 3
 
0.4%
2008-10-24 2
 
0.3%
2016-08-31 1
 
0.1%
Other values (13) 13
 
1.6%

Length

2024-03-13T22:42:57.724149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 735
93.2%
2009-01-22 8
 
1.0%
2012-08-23 8
 
1.0%
2008-09-30 6
 
0.8%
2009-08-28 5
 
0.6%
2009-08-13 4
 
0.5%
2008-08-12 4
 
0.5%
2008-07-15 3
 
0.4%
2008-10-24 2
 
0.3%
2006-11-01 1
 
0.1%
Other values (13) 13
 
1.6%

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
3
387 
4
248 
1
152 
2
 
2

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 (%)
3 387
49.0%
4 248
31.4%
1 152
 
19.3%
2 2
 
0.3%

Length

2024-03-13T22:42:57.828645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:42:57.919042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 387
49.0%
4 248
31.4%
1 152
 
19.3%
2 2
 
0.3%

영업상태명
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
폐업
387 
취소/말소/만료/정지/중지
248 
영업/정상
152 
휴업
 
2

Length

Max length14
Median length5
Mean length6.3498099
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 387
49.0%
취소/말소/만료/정지/중지 248
31.4%
영업/정상 152
 
19.3%
휴업 2
 
0.3%

Length

2024-03-13T22:42:58.353026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:42:58.473054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 387
49.0%
취소/말소/만료/정지/중지 248
31.4%
영업/정상 152
 
19.3%
휴업 2
 
0.3%

상세영업상태코드
Real number (ℝ)

Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.6628644
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-03-13T22:42:58.563267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.0760668
Coefficient of variation (CV)0.56678778
Kurtosis-0.84140831
Mean3.6628644
Median Absolute Deviation (MAD)1
Skewness0.59394667
Sum2890
Variance4.3100532
MonotonicityNot monotonic
2024-03-13T22:42:58.652664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 387
49.0%
7 192
24.3%
1 151
 
19.1%
4 56
 
7.1%
2 2
 
0.3%
6 1
 
0.1%
ValueCountFrequency (%)
1 151
 
19.1%
2 2
 
0.3%
3 387
49.0%
4 56
 
7.1%
6 1
 
0.1%
7 192
24.3%
ValueCountFrequency (%)
7 192
24.3%
6 1
 
0.1%
4 56
 
7.1%
3 387
49.0%
2 2
 
0.3%
1 151
 
19.1%

상세영업상태명
Categorical

Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
폐업처리
387 
직권말소
192 
정상영업
151 
직권취소
56 
휴업처리
 
2

Length

Max length6
Median length4
Mean length4.0025349
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업처리 387
49.0%
직권말소 192
24.3%
정상영업 151
 
19.1%
직권취소 56
 
7.1%
휴업처리 2
 
0.3%
타시군구전입 1
 
0.1%

Length

2024-03-13T22:42:58.770986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:42:58.886111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업처리 387
49.0%
직권말소 192
24.3%
정상영업 151
 
19.1%
직권취소 56
 
7.1%
휴업처리 2
 
0.3%
타시군구전입 1
 
0.1%

폐업일자
Date

MISSING 

Distinct426
Distinct (%)68.9%
Missing171
Missing (%)21.7%
Memory size6.3 KiB
Minimum2003-07-31 00:00:00
Maximum2023-11-30 00:00:00
2024-03-13T22:42:58.998801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T22:42:59.138225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct4
Distinct (%)100.0%
Missing785
Missing (%)99.5%
Memory size6.3 KiB
Minimum2006-05-15 00:00:00
Maximum2020-09-21 00:00:00
2024-03-13T22:42:59.309728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T22:42:59.423228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

휴업종료일자
Date

MISSING 

Distinct4
Distinct (%)100.0%
Missing785
Missing (%)99.5%
Memory size6.3 KiB
Minimum2006-10-15 00:00:00
Maximum2021-09-21 00:00:00
2024-03-13T22:42:59.513814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T22:42:59.607887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

재개업일자
Date

MISSING 

Distinct2
Distinct (%)100.0%
Missing787
Missing (%)99.7%
Memory size6.3 KiB
Minimum2015-10-23 00:00:00
Maximum2016-08-23 00:00:00
2024-03-13T22:42:59.727352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T22:42:59.828372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

소재지전화
Text

MISSING 

Distinct614
Distinct (%)94.9%
Missing142
Missing (%)18.0%
Memory size6.3 KiB
2024-03-13T22:43:00.009598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12
Mean length11.553323
Min length6

Characters and Unicode

Total characters7475
Distinct characters17
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique584 ?
Unique (%)90.3%

Sample

1st row053 252 5100
2nd row053 242 8585
3rd row255 7119
4th row053 426 1507
5th row053 253 0172
ValueCountFrequency (%)
053 108
 
12.2%
424 9
 
1.0%
253 6
 
0.7%
256 6
 
0.7%
2000 5
 
0.6%
242 5
 
0.6%
254 5
 
0.6%
426 4
 
0.5%
217 4
 
0.5%
422 4
 
0.5%
Other values (648) 727
82.3%
2024-03-13T22:43:00.381721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1259
16.8%
5 1010
13.5%
- 930
12.4%
3 876
11.7%
2 601
8.0%
1 497
 
6.6%
7 453
 
6.1%
6 444
 
5.9%
4 425
 
5.7%
8 387
 
5.2%
Other values (7) 593
7.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6299
84.3%
Dash Punctuation 930
 
12.4%
Space Separator 237
 
3.2%
Other Punctuation 5
 
0.1%
Close Punctuation 2
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1259
20.0%
5 1010
16.0%
3 876
13.9%
2 601
9.5%
1 497
 
7.9%
7 453
 
7.2%
6 444
 
7.0%
4 425
 
6.7%
8 387
 
6.1%
9 347
 
5.5%
Other Punctuation
ValueCountFrequency (%)
, 2
40.0%
. 2
40.0%
/ 1
20.0%
Dash Punctuation
ValueCountFrequency (%)
- 930
100.0%
Space Separator
ValueCountFrequency (%)
237
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7475
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1259
16.8%
5 1010
13.5%
- 930
12.4%
3 876
11.7%
2 601
8.0%
1 497
 
6.6%
7 453
 
6.1%
6 444
 
5.9%
4 425
 
5.7%
8 387
 
5.2%
Other values (7) 593
7.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7475
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1259
16.8%
5 1010
13.5%
- 930
12.4%
3 876
11.7%
2 601
8.0%
1 497
 
6.6%
7 453
 
6.1%
6 444
 
5.9%
4 425
 
5.7%
8 387
 
5.2%
Other values (7) 593
7.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing789
Missing (%)100.0%
Memory size7.1 KiB

소재지우편번호
Text

MISSING 

Distinct163
Distinct (%)39.2%
Missing373
Missing (%)47.3%
Memory size6.3 KiB
2024-03-13T22:43:00.765437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters2912
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

Unique93 ?
Unique (%)22.4%

Sample

1st row700-150
2nd row700-412
3rd row700-430
4th row700-351
5th row700-423
ValueCountFrequency (%)
705-030 22
 
5.3%
701-020 21
 
5.0%
700-440 17
 
4.1%
700-351 15
 
3.6%
704-060 14
 
3.4%
704-340 13
 
3.1%
700-412 11
 
2.6%
701-010 10
 
2.4%
700-400 8
 
1.9%
700-430 7
 
1.7%
Other values (153) 278
66.8%
2024-03-13T22:43:01.181828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1013
34.8%
7 455
15.6%
- 416
14.3%
1 213
 
7.3%
4 190
 
6.5%
2 183
 
6.3%
3 154
 
5.3%
5 98
 
3.4%
6 93
 
3.2%
8 70
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2496
85.7%
Dash Punctuation 416
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1013
40.6%
7 455
18.2%
1 213
 
8.5%
4 190
 
7.6%
2 183
 
7.3%
3 154
 
6.2%
5 98
 
3.9%
6 93
 
3.7%
8 70
 
2.8%
9 27
 
1.1%
Dash Punctuation
ValueCountFrequency (%)
- 416
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2912
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1013
34.8%
7 455
15.6%
- 416
14.3%
1 213
 
7.3%
4 190
 
6.5%
2 183
 
6.3%
3 154
 
5.3%
5 98
 
3.4%
6 93
 
3.2%
8 70
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2912
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1013
34.8%
7 455
15.6%
- 416
14.3%
1 213
 
7.3%
4 190
 
6.5%
2 183
 
6.3%
3 154
 
5.3%
5 98
 
3.4%
6 93
 
3.2%
8 70
 
2.4%

소재지전체주소
Text

MISSING 

Distinct454
Distinct (%)73.6%
Missing172
Missing (%)21.8%
Memory size6.3 KiB
2024-03-13T22:43:01.444509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length38
Mean length25.166937
Min length16

Characters and Unicode

Total characters15528
Distinct characters257
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

Unique368 ?
Unique (%)59.6%

Sample

1st row대구광역시 중구 공평동 **번지 *호
2nd row대구광역시 중구 삼덕동*가 ***번지 *호
3rd row대구광역시 중구 대봉동 *번지 **호
4th row대구광역시 중구 북성로*가 **번지 *호
5th row대구광역시 중구 동인동*가 ***번지 **호
ValueCountFrequency (%)
대구광역시 617
18.0%
호 527
15.3%
번지 525
15.3%
층 160
 
4.7%
중구 148
 
4.3%
동구 98
 
2.9%
96
 
2.8%
달서구 94
 
2.7%
남구 83
 
2.4%
수성구 77
 
2.2%
Other values (325) 1009
29.4%
2024-03-13T22:43:01.816227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 3223
20.8%
2833
18.2%
구 1241
 
8.0%
동 746
 
4.8%
대 733
 
4.7%
시 628
 
4.0%
역 620
 
4.0%
광 620
 
4.0%
지 559
 
3.6%
호 552
 
3.6%
Other values (247) 3773
24.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9342
60.2%
Other Punctuation 3230
 
20.8%
Space Separator 2833
 
18.2%
Dash Punctuation 82
 
0.5%
Uppercase Letter 25
 
0.2%
Lowercase Letter 13
 
0.1%
Math Symbol 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1241
13.3%
동 746
 
8.0%
대 733
 
7.8%
시 628
 
6.7%
역 620
 
6.6%
광 620
 
6.6%
지 559
 
6.0%
호 552
 
5.9%
번 525
 
5.6%
층 195
 
2.1%
Other values (226) 2923
31.3%
Uppercase Letter
ValueCountFrequency (%)
K 9
36.0%
T 6
24.0%
S 5
20.0%
O 1
 
4.0%
B 1
 
4.0%
G 1
 
4.0%
I 1
 
4.0%
F 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
* 3223
99.8%
, 4
 
0.1%
/ 2
 
0.1%
. 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
k 6
46.2%
t 4
30.8%
s 2
 
15.4%
c 1
 
7.7%
Space Separator
ValueCountFrequency (%)
2833
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 82
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9342
60.2%
Common 6148
39.6%
Latin 38
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1241
13.3%
동 746
 
8.0%
대 733
 
7.8%
시 628
 
6.7%
역 620
 
6.6%
광 620
 
6.6%
지 559
 
6.0%
호 552
 
5.9%
번 525
 
5.6%
층 195
 
2.1%
Other values (226) 2923
31.3%
Latin
ValueCountFrequency (%)
K 9
23.7%
k 6
15.8%
T 6
15.8%
S 5
13.2%
t 4
10.5%
s 2
 
5.3%
O 1
 
2.6%
B 1
 
2.6%
G 1
 
2.6%
I 1
 
2.6%
Other values (2) 2
 
5.3%
Common
ValueCountFrequency (%)
* 3223
52.4%
2833
46.1%
- 82
 
1.3%
, 4
 
0.1%
/ 2
 
< 0.1%
~ 1
 
< 0.1%
) 1
 
< 0.1%
( 1
 
< 0.1%
. 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9342
60.2%
ASCII 6186
39.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 3223
52.1%
2833
45.8%
- 82
 
1.3%
K 9
 
0.1%
k 6
 
0.1%
T 6
 
0.1%
S 5
 
0.1%
, 4
 
0.1%
t 4
 
0.1%
s 2
 
< 0.1%
Other values (11) 12
 
0.2%
Hangul
ValueCountFrequency (%)
구 1241
13.3%
동 746
 
8.0%
대 733
 
7.8%
시 628
 
6.7%
역 620
 
6.6%
광 620
 
6.6%
지 559
 
6.0%
호 552
 
5.9%
번 525
 
5.6%
층 195
 
2.1%
Other values (226) 2923
31.3%

도로명전체주소
Text

MISSING 

Distinct651
Distinct (%)84.5%
Missing19
Missing (%)2.4%
Memory size6.3 KiB
2024-03-13T22:43:02.133009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length44
Mean length29.720779
Min length13

Characters and Unicode

Total characters22885
Distinct characters322
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

Unique578 ?
Unique (%)75.1%

Sample

1st row대구광역시 중구 동성로*길 ** (공평동)
2nd row대구광역시 중구 달구벌대로 **** (삼덕동*가)
3rd row대구광역시 중구 동덕로**길 ** (대봉동)
4th row대구광역시 중구 중앙대로 *** (북성로*가)
5th row대구광역시 중구 태평로 *** (동인동*가)
ValueCountFrequency (%)
772
17.1%
대구광역시 770
17.1%
층 273
 
6.1%
중구 173
 
3.8%
호 153
 
3.4%
달서구 124
 
2.7%
수성구 118
 
2.6%
동구 116
 
2.6%
북구 89
 
2.0%
남구 86
 
1.9%
Other values (659) 1836
40.7%
2024-03-13T22:43:02.681747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3752
16.4%
* 3641
15.9%
구 1685
 
7.4%
대 1128
 
4.9%
동 1062
 
4.6%
시 787
 
3.4%
로 783
 
3.4%
역 775
 
3.4%
광 773
 
3.4%
) 758
 
3.3%
Other values (312) 7741
33.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13219
57.8%
Other Punctuation 4248
 
18.6%
Space Separator 3752
 
16.4%
Close Punctuation 758
 
3.3%
Open Punctuation 757
 
3.3%
Dash Punctuation 87
 
0.4%
Uppercase Letter 47
 
0.2%
Lowercase Letter 15
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1685
 
12.7%
대 1128
 
8.5%
동 1062
 
8.0%
시 787
 
6.0%
로 783
 
5.9%
역 775
 
5.9%
광 773
 
5.8%
층 375
 
2.8%
성 270
 
2.0%
달 244
 
1.8%
Other values (288) 5337
40.4%
Uppercase Letter
ValueCountFrequency (%)
K 15
31.9%
T 13
27.7%
S 5
 
10.6%
A 3
 
6.4%
B 3
 
6.4%
G 2
 
4.3%
I 2
 
4.3%
D 1
 
2.1%
H 1
 
2.1%
L 1
 
2.1%
Other Punctuation
ValueCountFrequency (%)
* 3641
85.7%
, 604
 
14.2%
/ 2
 
< 0.1%
. 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
k 7
46.7%
t 5
33.3%
s 2
 
13.3%
c 1
 
6.7%
Space Separator
ValueCountFrequency (%)
3752
100.0%
Close Punctuation
ValueCountFrequency (%)
) 758
100.0%
Open Punctuation
ValueCountFrequency (%)
( 757
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 87
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13219
57.8%
Common 9604
42.0%
Latin 62
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1685
 
12.7%
대 1128
 
8.5%
동 1062
 
8.0%
시 787
 
6.0%
로 783
 
5.9%
역 775
 
5.9%
광 773
 
5.8%
층 375
 
2.8%
성 270
 
2.0%
달 244
 
1.8%
Other values (288) 5337
40.4%
Latin
ValueCountFrequency (%)
K 15
24.2%
T 13
21.0%
k 7
11.3%
t 5
 
8.1%
S 5
 
8.1%
A 3
 
4.8%
B 3
 
4.8%
G 2
 
3.2%
s 2
 
3.2%
I 2
 
3.2%
Other values (5) 5
 
8.1%
Common
ValueCountFrequency (%)
3752
39.1%
* 3641
37.9%
) 758
 
7.9%
( 757
 
7.9%
, 604
 
6.3%
- 87
 
0.9%
~ 2
 
< 0.1%
/ 2
 
< 0.1%
. 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13219
57.8%
ASCII 9666
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3752
38.8%
* 3641
37.7%
) 758
 
7.8%
( 757
 
7.8%
, 604
 
6.2%
- 87
 
0.9%
K 15
 
0.2%
T 13
 
0.1%
k 7
 
0.1%
t 5
 
0.1%
Other values (14) 27
 
0.3%
Hangul
ValueCountFrequency (%)
구 1685
 
12.7%
대 1128
 
8.5%
동 1062
 
8.0%
시 787
 
6.0%
로 783
 
5.9%
역 775
 
5.9%
광 773
 
5.8%
층 375
 
2.8%
성 270
 
2.0%
달 244
 
1.8%
Other values (288) 5337
40.4%

도로명우편번호
Text

MISSING 

Distinct331
Distinct (%)77.2%
Missing360
Missing (%)45.6%
Memory size6.3 KiB
2024-03-13T22:43:03.044389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.7832168
Min length5

Characters and Unicode

Total characters2481
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

Unique264 ?
Unique (%)61.5%

Sample

1st row700-831
2nd row700-727
3rd row700-251
4th row700-719
5th row700-220
ValueCountFrequency (%)
41260 7
 
1.6%
41967 6
 
1.4%
41775 5
 
1.2%
42420 4
 
0.9%
42486 4
 
0.9%
705-810 4
 
0.9%
701-240 4
 
0.9%
41200 3
 
0.7%
702-062 3
 
0.7%
705-830 3
 
0.7%
Other values (321) 386
90.0%
2024-03-13T22:43:03.538255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 406
16.4%
0 369
14.9%
1 295
11.9%
7 292
11.8%
2 283
11.4%
6 181
7.3%
8 170
6.9%
- 168
6.8%
5 118
 
4.8%
9 101
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2313
93.2%
Dash Punctuation 168
 
6.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 406
17.6%
0 369
16.0%
1 295
12.8%
7 292
12.6%
2 283
12.2%
6 181
7.8%
8 170
7.3%
5 118
 
5.1%
9 101
 
4.4%
3 98
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 168
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2481
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 406
16.4%
0 369
14.9%
1 295
11.9%
7 292
11.8%
2 283
11.4%
6 181
7.3%
8 170
6.9%
- 168
6.8%
5 118
 
4.8%
9 101
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2481
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 406
16.4%
0 369
14.9%
1 295
11.9%
7 292
11.8%
2 283
11.4%
6 181
7.3%
8 170
6.9%
- 168
6.8%
5 118
 
4.8%
9 101
 
4.1%

사업장명
Text

Distinct764
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
2024-03-13T22:43:03.809584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length19
Mean length7.9036755
Min length1

Characters and Unicode

Total characters6236
Distinct characters427
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique741 ?
Unique (%)93.9%

Sample

1st row(주)스마트통신
2nd row(주)유니넷
3rd row전진유통
4th row세진통상
5th row한성통상
ValueCountFrequency (%)
주식회사 130
 
12.6%
주 29
 
2.8%
농업회사법인 5
 
0.5%
홈쇼핑 4
 
0.4%
코리아 4
 
0.4%
it 4
 
0.4%
마루네트웍스 3
 
0.3%
정보통신 3
 
0.3%
주)파워트윈스 3
 
0.3%
고구려통신 3
 
0.3%
Other values (806) 846
81.8%
2024-03-13T22:43:04.224507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 414
 
6.6%
) 289
 
4.6%
( 289
 
4.6%
245
 
3.9%
사 188
 
3.0%
이 187
 
3.0%
스 169
 
2.7%
회 158
 
2.5%
통 146
 
2.3%
식 145
 
2.3%
Other values (417) 4006
64.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5144
82.5%
Close Punctuation 289
 
4.6%
Open Punctuation 289
 
4.6%
Space Separator 245
 
3.9%
Uppercase Letter 165
 
2.6%
Lowercase Letter 59
 
0.9%
Other Punctuation 22
 
0.4%
Decimal Number 17
 
0.3%
Other Symbol 3
 
< 0.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 414
 
8.0%
사 188
 
3.7%
이 187
 
3.6%
스 169
 
3.3%
회 158
 
3.1%
통 146
 
2.8%
식 145
 
2.8%
신 139
 
2.7%
보 112
 
2.2%
정 109
 
2.1%
Other values (364) 3377
65.6%
Uppercase Letter
ValueCountFrequency (%)
T 22
13.3%
I 19
11.5%
S 18
 
10.9%
K 10
 
6.1%
N 9
 
5.5%
G 9
 
5.5%
C 9
 
5.5%
D 8
 
4.8%
B 7
 
4.2%
F 7
 
4.2%
Other values (13) 47
28.5%
Lowercase Letter
ValueCountFrequency (%)
n 8
13.6%
e 8
13.6%
i 6
10.2%
t 5
8.5%
r 4
 
6.8%
a 4
 
6.8%
c 4
 
6.8%
o 4
 
6.8%
s 3
 
5.1%
p 3
 
5.1%
Other values (7) 10
16.9%
Other Punctuation
ValueCountFrequency (%)
. 10
45.5%
& 8
36.4%
, 3
 
13.6%
@ 1
 
4.5%
Decimal Number
ValueCountFrequency (%)
1 8
47.1%
4 4
23.5%
0 3
 
17.6%
2 2
 
11.8%
Close Punctuation
ValueCountFrequency (%)
) 289
100.0%
Open Punctuation
ValueCountFrequency (%)
( 289
100.0%
Space Separator
ValueCountFrequency (%)
245
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5145
82.5%
Common 865
 
13.9%
Latin 224
 
3.6%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 414
 
8.0%
사 188
 
3.7%
이 187
 
3.6%
스 169
 
3.3%
회 158
 
3.1%
통 146
 
2.8%
식 145
 
2.8%
신 139
 
2.7%
보 112
 
2.2%
정 109
 
2.1%
Other values (363) 3378
65.7%
Latin
ValueCountFrequency (%)
T 22
 
9.8%
I 19
 
8.5%
S 18
 
8.0%
K 10
 
4.5%
N 9
 
4.0%
G 9
 
4.0%
C 9
 
4.0%
n 8
 
3.6%
e 8
 
3.6%
D 8
 
3.6%
Other values (30) 104
46.4%
Common
ValueCountFrequency (%)
) 289
33.4%
( 289
33.4%
245
28.3%
. 10
 
1.2%
1 8
 
0.9%
& 8
 
0.9%
4 4
 
0.5%
- 3
 
0.3%
0 3
 
0.3%
, 3
 
0.3%
Other values (2) 3
 
0.3%
Han
ValueCountFrequency (%)
煐 1
50.0%
參 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5142
82.5%
ASCII 1089
 
17.5%
None 3
 
< 0.1%
CJK 1
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 414
 
8.1%
사 188
 
3.7%
이 187
 
3.6%
스 169
 
3.3%
회 158
 
3.1%
통 146
 
2.8%
식 145
 
2.8%
신 139
 
2.7%
보 112
 
2.2%
정 109
 
2.1%
Other values (362) 3375
65.6%
ASCII
ValueCountFrequency (%)
) 289
26.5%
( 289
26.5%
245
22.5%
T 22
 
2.0%
I 19
 
1.7%
S 18
 
1.7%
K 10
 
0.9%
. 10
 
0.9%
N 9
 
0.8%
G 9
 
0.8%
Other values (42) 169
15.5%
None
ValueCountFrequency (%)
㈜ 3
100.0%
CJK
ValueCountFrequency (%)
煐 1
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
參 1
100.0%

최종수정시점
Date

UNIQUE 

Distinct789
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
Minimum2007-07-30 11:26:01
Maximum2023-12-27 10:46:14
2024-03-13T22:43:04.368015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T22:43:04.507626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
I
649 
U
140 

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 649
82.3%
U 140
 
17.7%

Length

2024-03-13T22:43:04.663815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:43:04.771620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 649
82.3%
u 140
 
17.7%

데이터갱신일자
Date

Distinct204
Distinct (%)25.9%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-29 02:40:00
2024-03-13T22:43:04.912859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T22:43:05.096891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing789
Missing (%)100.0%
Memory size7.1 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct578
Distinct (%)75.3%
Missing21
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean343858.24
Minimum329997.18
Maximum356771.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-03-13T22:43:05.242363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum329997.18
5-th percentile337430.8
Q1341427.89
median343960.81
Q3346212.08
95-th percentile350859.26
Maximum356771.2
Range26774.023
Interquartile range (IQR)4784.1869

Descriptive statistics

Standard deviation4090.3825
Coefficient of variation (CV)0.011895549
Kurtosis1.3896219
Mean343858.24
Median Absolute Deviation (MAD)2435.04
Skewness0.2818047
Sum2.6408313 × 108
Variance16731229
MonotonicityNot monotonic
2024-03-13T22:43:05.378290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
343960.811871195 15
 
1.9%
344686.25933796 11
 
1.4%
339679.576629298 6
 
0.8%
347112.221709537 6
 
0.8%
345612.432782151 5
 
0.6%
346594.635070329 5
 
0.6%
346708.407018948 5
 
0.6%
343724.113964194 5
 
0.6%
344858.344663181 4
 
0.5%
341039.186177015 4
 
0.5%
Other values (568) 702
89.0%
(Missing) 21
 
2.7%
ValueCountFrequency (%)
329997.180892182 1
0.1%
330379.598981756 1
0.1%
331518.903933375 1
0.1%
331708.939165765 1
0.1%
332509.927079283 1
0.1%
332679.572242231 1
0.1%
332950.866365004 1
0.1%
334105.944189158 1
0.1%
334186.944258374 1
0.1%
334205.415772566 1
0.1%
ValueCountFrequency (%)
356771.204272608 1
0.1%
356391.674186182 1
0.1%
356351.617490545 1
0.1%
356074.44937483 1
0.1%
355857.357218327 2
0.3%
355698.810726211 1
0.1%
355681.445460699 1
0.1%
355638.832800121 1
0.1%
355584.792491306 1
0.1%
355436.833190537 1
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct578
Distinct (%)75.3%
Missing21
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean263580.92
Minimum245043.09
Maximum292186.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-03-13T22:43:05.501393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum245043.09
5-th percentile258998.72
Q1261844.7
median263780.89
Q3264869.8
95-th percentile268797.03
Maximum292186.7
Range47143.606
Interquartile range (IQR)3025.1054

Descriptive statistics

Standard deviation3279.2262
Coefficient of variation (CV)0.012441061
Kurtosis12.116378
Mean263580.92
Median Absolute Deviation (MAD)1337.9495
Skewness0.36653248
Sum2.0243014 × 108
Variance10753324
MonotonicityNot monotonic
2024-03-13T22:43:05.644233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264947.507124835 15
 
1.9%
263958.880864104 11
 
1.4%
259462.411821886 6
 
0.8%
259244.441757074 6
 
0.8%
265687.329766269 5
 
0.6%
264578.070096128 5
 
0.6%
264492.86063878 5
 
0.6%
263960.603586225 5
 
0.6%
264643.95309701 4
 
0.5%
264695.830796418 4
 
0.5%
Other values (568) 702
89.0%
(Missing) 21
 
2.7%
ValueCountFrequency (%)
245043.089817433 1
0.1%
245188.609978298 1
0.1%
245608.948143806 1
0.1%
248650.026600299 1
0.1%
248808.4123526 1
0.1%
255467.253836975 1
0.1%
255754.319402079 1
0.1%
255796.434687898 1
0.1%
256485.112000467 1
0.1%
256521.258737752 1
0.1%
ValueCountFrequency (%)
292186.69546942 1
0.1%
274818.56279394 1
0.1%
273733.771245585 2
0.3%
273712.08248913 1
0.1%
273543.383721685 1
0.1%
272914.692554929 1
0.1%
272659.523295073 1
0.1%
272464.310801826 1
0.1%
272309.461235988 1
0.1%
271973.249973628 1
0.1%

자산규모
Real number (ℝ)

MISSING  ZEROS 

Distinct233
Distinct (%)50.8%
Missing330
Missing (%)41.8%
Infinite0
Infinite (%)0.0%
Mean9.3342145 × 109
Minimum0
Maximum2.4002319 × 1012
Zeros85
Zeros (%)10.8%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-03-13T22:43:05.800671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q120000000
median87927949
Q33.9159857 × 108
95-th percentile5.6674322 × 109
Maximum2.4002319 × 1012
Range2.4002319 × 1012
Interquartile range (IQR)3.7159857 × 108

Descriptive statistics

Standard deviation1.1756786 × 1011
Coefficient of variation (CV)12.595367
Kurtosis376.71235
Mean9.3342145 × 109
Median Absolute Deviation (MAD)87927949
Skewness18.789938
Sum4.2844044 × 1012
Variance1.3822201 × 1022
MonotonicityNot monotonic
2024-03-13T22:43:05.973123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 85
 
10.8%
50000000 59
 
7.5%
100000000 22
 
2.8%
10000000 14
 
1.8%
30000000 10
 
1.3%
150000000 9
 
1.1%
300000000 7
 
0.9%
20000000 6
 
0.8%
5000000 5
 
0.6%
160000000 5
 
0.6%
Other values (223) 237
30.0%
(Missing) 330
41.8%
ValueCountFrequency (%)
0 85
10.8%
1000000 4
 
0.5%
5000000 5
 
0.6%
6000000 1
 
0.1%
9000000 1
 
0.1%
10000000 14
 
1.8%
10100000 1
 
0.1%
12000000 1
 
0.1%
12811719 1
 
0.1%
20000000 6
 
0.8%
ValueCountFrequency (%)
2400231880000 1
0.1%
521941256656 1
0.1%
439293018000 1
0.1%
356900000000 1
0.1%
94520742647 1
0.1%
51319652155 1
0.1%
29286339762 1
0.1%
27688855600 1
0.1%
27307394834 1
0.1%
26654732424 1
0.1%

부채총액
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct211
Distinct (%)46.0%
Missing330
Missing (%)41.8%
Infinite0
Infinite (%)0.0%
Mean6.8832154 × 109
Minimum-10000000
Maximum2.190137 × 1012
Zeros237
Zeros (%)30.0%
Negative1
Negative (%)0.1%
Memory size7.1 KiB
2024-03-13T22:43:06.145906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-10000000
5-th percentile0
Q10
median0
Q31.4932303 × 108
95-th percentile2.5247407 × 109
Maximum2.190137 × 1012
Range2.190147 × 1012
Interquartile range (IQR)1.4932303 × 108

Descriptive statistics

Standard deviation1.0424442 × 1011
Coefficient of variation (CV)15.144727
Kurtosis422.8842
Mean6.8832154 × 109
Median Absolute Deviation (MAD)0
Skewness20.245691
Sum3.1593959 × 1012
Variance1.0866899 × 1022
MonotonicityNot monotonic
2024-03-13T22:43:06.281450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 237
30.0%
5000000 5
 
0.6%
50000000 4
 
0.5%
30000000 3
 
0.4%
20000000 2
 
0.3%
100000000 2
 
0.3%
10000000 2
 
0.3%
201360725 1
 
0.1%
63745948 1
 
0.1%
1142316111 1
 
0.1%
Other values (201) 201
25.5%
(Missing) 330
41.8%
ValueCountFrequency (%)
-10000000 1
 
0.1%
0 237
30.0%
13676 1
 
0.1%
122094 1
 
0.1%
507000 1
 
0.1%
1250000 1
 
0.1%
1451100 1
 
0.1%
1898636 1
 
0.1%
2000000 1
 
0.1%
2123000 1
 
0.1%
ValueCountFrequency (%)
2190136970000 1
0.1%
330940679869 1
0.1%
233301115000 1
0.1%
189200000000 1
0.1%
28915224382 1
0.1%
24895604727 1
0.1%
22198168433 1
0.1%
7147197865 1
0.1%
5705056715 1
0.1%
5583342755 1
0.1%

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct125
Distinct (%)27.2%
Missing330
Missing (%)41.8%
Infinite0
Infinite (%)0.0%
Mean1.5057311 × 109
Minimum-1.4810772 × 108
Maximum2.10095 × 1011
Zeros66
Zeros (%)8.4%
Negative3
Negative (%)0.4%
Memory size7.1 KiB
2024-03-13T22:43:06.423004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.4810772 × 108
5-th percentile0
Q120000000
median50000000
Q31.6 × 108
95-th percentile2.4338389 × 109
Maximum2.10095 × 1011
Range2.1024311 × 1011
Interquartile range (IQR)1.4 × 108

Descriptive statistics

Standard deviation1.3757793 × 1010
Coefficient of variation (CV)9.136952
Kurtosis194.87455
Mean1.5057311 × 109
Median Absolute Deviation (MAD)50000000
Skewness13.6682
Sum6.9113056 × 1011
Variance1.8927686 × 1020
MonotonicityNot monotonic
2024-03-13T22:43:06.878156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50000000 123
 
15.6%
0 66
 
8.4%
100000000 26
 
3.3%
10000000 25
 
3.2%
30000000 20
 
2.5%
300000000 16
 
2.0%
20000000 13
 
1.6%
160000000 12
 
1.5%
150000000 12
 
1.5%
200000000 8
 
1.0%
Other values (115) 138
17.5%
(Missing) 330
41.8%
ValueCountFrequency (%)
-148107720 1
 
0.1%
-104768498 1
 
0.1%
-49431530 1
 
0.1%
0 66
8.4%
1000000 6
 
0.8%
2000000 1
 
0.1%
2884689 1
 
0.1%
5000000 6
 
0.8%
9000000 1
 
0.1%
10000000 25
 
3.2%
ValueCountFrequency (%)
210094998000 1
0.1%
191000576787 1
0.1%
69625137920 1
0.1%
29121483722 1
0.1%
20000000000 1
0.1%
18629715213 1
0.1%
12000000000 1
0.1%
10499999700 1
0.1%
10116120757 1
0.1%
7200000000 1
0.1%

판매방식명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing789
Missing (%)100.0%
Memory size7.1 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자산규모부채총액자본금판매방식명
01전화권유판매업08_26_03_P341000020083410071242000462005-04-11<NA>4취소/말소/만료/정지/중지7직권말소2010-04-16<NA><NA><NA>053 252 5100<NA>700-150대구광역시 중구 공평동 **번지 *호대구광역시 중구 동성로*길 ** (공평동)<NA>(주)스마트통신2010-04-19 10:48:16I2018-08-31 23:59:59<NA>344145.701897264375.8333951207945474103805926550000000<NA>
12전화권유판매업08_26_03_P341000020083410071242000482005-04-07<NA>4취소/말소/만료/정지/중지7직권말소2010-04-16<NA><NA><NA>053 242 8585<NA>700-412대구광역시 중구 삼덕동*가 ***번지 *호대구광역시 중구 달구벌대로 **** (삼덕동*가)<NA>(주)유니넷2010-04-19 10:46:58I2018-08-31 23:59:59<NA>344531.569541263851.78846460570194252983411552718531<NA>
23전화권유판매업08_26_03_P341000020083410071242000542005-02-03<NA>4취소/말소/만료/정지/중지7직권말소2010-04-16<NA><NA><NA>255 7119<NA>700-430대구광역시 중구 대봉동 *번지 **호대구광역시 중구 동덕로**길 ** (대봉동)<NA>전진유통2010-04-19 10:44:55I2018-08-31 23:59:59<NA>345006.058197263461.503512<NA><NA><NA><NA>
34전화권유판매업08_26_03_P341000020083410071242000562005-01-21<NA>4취소/말소/만료/정지/중지7직권말소2010-04-16<NA><NA><NA>053 426 1507<NA>700-351대구광역시 중구 북성로*가 **번지 *호대구광역시 중구 중앙대로 *** (북성로*가)<NA>세진통상2010-04-19 10:43:44I2018-08-31 23:59:59<NA>343960.811871264947.507125<NA><NA><NA><NA>
45전화권유판매업08_26_03_P341000020083410071242000582004-09-15<NA>4취소/말소/만료/정지/중지7직권말소2010-04-16<NA><NA><NA>053 253 0172<NA>700-423대구광역시 중구 동인동*가 ***번지 **호대구광역시 중구 태평로 *** (동인동*가)<NA>한성통상2010-04-19 10:42:21I2018-08-31 23:59:59<NA>345185.142066264817.514444<NA><NA><NA><NA>
56전화권유판매업08_26_03_P341000020083410071242000592004-08-05<NA>4취소/말소/만료/정지/중지7직권말소2010-04-16<NA><NA><NA>053 257 9012<NA>700-424대구광역시 중구 동인동*가 **번지 원진빌딩 *층대구광역시 중구 국채보상로 *** (동인동*가,원진빌딩 *층)<NA>우석컨설팅2010-04-19 10:39:49I2018-08-31 23:59:59<NA>345271.282498264397.297213<NA><NA><NA><NA>
67전화권유판매업08_26_03_P341000020083410071242000642004-05-08<NA>4취소/말소/만료/정지/중지7직권말소2010-04-16<NA><NA><NA>053 475 2726<NA>700-351대구광역시 중구 북성로*가 **번지 *호대구광역시 중구 중앙대로 *** (북성로*가)<NA>삼구통상2010-04-19 10:38:45I2018-08-31 23:59:59<NA>343960.811871264947.507125<NA><NA><NA><NA>
78전화권유판매업08_26_03_P341000020083410071242000652004-05-08<NA>4취소/말소/만료/정지/중지7직권말소2004-08-24<NA><NA><NA>053 256 5519<NA>700-351대구광역시 중구 북성로*가 **번지 *호대구광역시 중구 중앙대로 *** (북성로*가)<NA>롯데통상2010-04-19 10:37:49I2018-08-31 23:59:59<NA>343960.811871264947.507125<NA><NA><NA><NA>
89전화권유판매업08_26_03_P341000020083410071242000662004-05-08<NA>4취소/말소/만료/정지/중지7직권말소2010-04-16<NA><NA><NA>053 254 6772<NA>700-351대구광역시 중구 북성로*가 **번지 *호대구광역시 중구 중앙대로 *** (북성로*가)<NA>세신통상2010-04-19 10:37:12I2018-08-31 23:59:59<NA>343960.811871264947.507125<NA><NA><NA><NA>
910전화권유판매업08_26_03_P341000020083410071242000672004-05-08<NA>4취소/말소/만료/정지/중지7직권말소2006-06-12<NA><NA><NA>053 255 2729<NA>700-351대구광역시 중구 북성로*가 **번지 *호대구광역시 중구 중앙대로 *** (북성로*가)<NA>현대통상2010-04-19 10:36:26I2018-08-31 23:59:59<NA>343960.811871264947.507125<NA><NA><NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자산규모부채총액자본금판매방식명
779780전화권유판매업08_26_03_P348000020103480291242000012010-12-21<NA>3폐업3폐업처리2011-05-23<NA><NA><NA>525-5542<NA>711-843대구광역시 달성군 옥포면 기세리 ***번지 *호 **통 *반대구광역시 달성군 옥포면 비슬로 ****<NA>참좋은 결혼정보2011-05-23 16:17:57I2018-08-31 23:59:59<NA>332950.866365255467.253837<NA><NA><NA><NA>
780781전화권유판매업08_26_03_P348000020113480291242000012011-01-06<NA>3폐업3폐업처리2015-11-30<NA><NA><NA>070-7997-5588<NA>711-763대구광역시 달성군 화원읍 명곡리 미래빌*단지 ***동 ****호대구광역시 달성군 화원읍 명곡로 **, ***동 ****층711-763(주)넥스피아2015-11-30 16:00:36I2018-08-31 23:59:59<NA>335324.764881256485.112829612352926172260000000<NA>
781782전화권유판매업08_26_03_P348000020143480326242000022014-06-10<NA>3폐업3폐업처리2015-10-22<NA><NA><NA>053-614-0660<NA><NA><NA>대구광역시 달성군 논공읍 논공로*길 **711-854(주)디오시스템2015-10-22 15:00:05I2018-08-31 23:59:59<NA>330379.598982248808.412353276962000050000000<NA>
782783전화권유판매업08_26_03_P348000020143480326242000032014-10-13<NA>3폐업3폐업처리2015-10-21<NA><NA><NA>053-521-1227<NA><NA><NA>대구광역시 달성군 화원읍 명천로**길 **711-836대아정보통신 주식회사2015-10-21 15:03:35I2018-08-31 23:59:59<NA>336285.753457256521.2587381185622347328868435160000000<NA>
783784전화권유판매업08_26_03_P348000020073480289242000012007-08-31<NA>3폐업3폐업처리2012-10-26<NA><NA><NA>053-585-7988<NA>711-813대구광역시 달성군 다사읍 서재리 ***번지대구광역시 달성군 다사읍 서재로 **<NA>(주)제일통신2013-07-29 11:31:49I2018-08-31 23:59:59<NA>335044.989433264277.1153771200000000390000000810000000<NA>
784785전화권유판매업08_26_03_P348000020233480365242000022023-03-22<NA>3폐업3폐업처리2023-08-21<NA><NA><NA><NA><NA><NA>대구광역시 달성군 유가읍 쌍계리 ***-*대구광역시 달성군 유가읍 현풍로**길 **, ***호42989알이랑 건강2023-08-22 14:42:41U2023-08-24 02:40:00<NA>332509.927079245608.948144000<NA>
785786전화권유판매업08_26_03_P348000020183480365242000012016-10-11<NA>3폐업3폐업처리2022-12-02<NA><NA><NA>053-644-0200<NA><NA>대구광역시 달성군 현풍읍 중리 ***번지 *호대구광역시 달성군 현풍읍 테크노중앙대로*길 *43014㈜케이앤티포커스2022-12-05 11:20:29U2022-12-07 02:40:00<NA>331708.939166245188.6099781600000005000000050000000<NA>
786787전화권유판매업08_26_03_P348000020083480289242000012008-03-272009-02-274취소/말소/만료/정지/중지4직권취소2009-02-27<NA><NA><NA>053-615-9073<NA>711-852대구광역시 달성군 논공읍 남리 ***번지 **호대구광역시 달성군 논공읍 논공로*길 **-*<NA>LS산전2009-03-04 09:45:18I2018-08-31 23:59:59<NA>329997.180892248650.0266<NA><NA><NA><NA>
787788전화권유판매업08_26_03_P348000020203480365242000012020-08-07<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 유가읍 봉리 *** 호반베르디움 더 클래스대구광역시 달성군 유가읍 테크노대로*길 **, ***동 ***호 (호반베르디움 더 클래스)43016찬찬통신2020-08-07 17:52:48I2020-08-09 00:23:15<NA>332679.572242245043.089817<NA><NA><NA><NA>
788789전화권유판매업08_26_03_P514100020165140085242000012015-03-19<NA>3폐업3폐업처리2018-06-21<NA><NA><NA><NA><NA><NA><NA>대구광역시 군위군 효령면 경북대로 ****39037주식회사케이디씨정보기술2018-06-22 11:28:54I2023-07-01 16:42:10<NA>341833.543144292186.6954691600000000160000000<NA>