Overview

Dataset statistics

Number of variables33
Number of observations9442
Missing cells61862
Missing cells (%)19.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.5 MiB
Average record size in memory275.0 B

Variable types

Numeric6
Categorical13
DateTime7
Unsupported2
Text5

Dataset

Description23년06월_6270000_대구광역시_07_22_04_P_축산판매업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000098694&dataSetDetailId=DDI_0000098725&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
축산업무구분명 has constant value ""Constant
상세영업상태코드 is highly imbalanced (56.2%)Imbalance
상세영업상태명 is highly imbalanced (56.2%)Imbalance
업태구분명 is highly imbalanced (65.5%)Imbalance
축산물가공업구분명 is highly imbalanced (65.5%)Imbalance
축산일련번호 is highly imbalanced (52.5%)Imbalance
권리주체일련번호 is highly imbalanced (77.5%)Imbalance
총직원수 is highly imbalanced (52.5%)Imbalance
인허가취소일자 has 9442 (100.0%) missing valuesMissing
폐업일자 has 3669 (38.9%) missing valuesMissing
휴업시작일자 has 9423 (99.8%) missing valuesMissing
휴업종료일자 has 9429 (99.9%) missing valuesMissing
재개업일자 has 9438 (> 99.9%) missing valuesMissing
소재지전화 has 3776 (40.0%) missing valuesMissing
소재지우편번호 has 9442 (100.0%) missing valuesMissing
도로명전체주소 has 649 (6.9%) missing valuesMissing
도로명우편번호 has 5465 (57.9%) missing valuesMissing
좌표정보(X) has 534 (5.7%) missing valuesMissing
좌표정보(Y) has 534 (5.7%) missing valuesMissing
소재지면적 is highly skewed (γ1 = 29.71983105)Skewed
번호 has unique valuesUnique
관리번호 has unique valuesUnique
최종수정시점 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 has 696 (7.4%) zerosZeros

Reproduction

Analysis started2023-12-10 19:46:03.934203
Analysis finished2023-12-10 19:46:07.952932
Duration4.02 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct9442
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4721.5
Minimum1
Maximum9442
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size83.1 KiB
2023-12-11T04:46:08.203278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile473.05
Q12361.25
median4721.5
Q37081.75
95-th percentile8969.95
Maximum9442
Range9441
Interquartile range (IQR)4720.5

Descriptive statistics

Standard deviation2725.815
Coefficient of variation (CV)0.5773197
Kurtosis-1.2
Mean4721.5
Median Absolute Deviation (MAD)2360.5
Skewness0
Sum44580403
Variance7430067.2
MonotonicityStrictly increasing
2023-12-11T04:46:08.551007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
6308 1
 
< 0.1%
6292 1
 
< 0.1%
6293 1
 
< 0.1%
6294 1
 
< 0.1%
6295 1
 
< 0.1%
6296 1
 
< 0.1%
6297 1
 
< 0.1%
6298 1
 
< 0.1%
6299 1
 
< 0.1%
Other values (9432) 9432
99.9%
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 (%)
9442 1
< 0.1%
9441 1
< 0.1%
9440 1
< 0.1%
9439 1
< 0.1%
9438 1
< 0.1%
9437 1
< 0.1%
9436 1
< 0.1%
9435 1
< 0.1%
9434 1
< 0.1%
9433 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size73.9 KiB
축산판매업
9442 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
축산판매업 9442
100.0%

Length

2023-12-11T04:46:08.809760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:46:08.951659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산판매업 9442
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size73.9 KiB
07_22_04_P
9442 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row07_22_04_P
2nd row07_22_04_P
3rd row07_22_04_P
4th row07_22_04_P
5th row07_22_04_P

Common Values

ValueCountFrequency (%)
07_22_04_P 9442
100.0%

Length

2023-12-11T04:46:09.115038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:46:09.275970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_04_p 9442
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3450050.8
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size83.1 KiB
2023-12-11T04:46:09.420651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation19740.869
Coefficient of variation (CV)0.0057219066
Kurtosis-0.97023143
Mean3450050.8
Median Absolute Deviation (MAD)20000
Skewness-0.32096945
Sum3.257538 × 1010
Variance3.897019 × 108
MonotonicityIncreasing
2023-12-11T04:46:09.638860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3450000 2189
23.2%
3470000 1895
20.1%
3460000 1365
14.5%
3420000 1282
13.6%
3430000 930
9.8%
3480000 811
 
8.6%
3440000 682
 
7.2%
3410000 288
 
3.1%
ValueCountFrequency (%)
3410000 288
 
3.1%
3420000 1282
13.6%
3430000 930
9.8%
3440000 682
 
7.2%
3450000 2189
23.2%
3460000 1365
14.5%
3470000 1895
20.1%
3480000 811
 
8.6%
ValueCountFrequency (%)
3480000 811
 
8.6%
3470000 1895
20.1%
3460000 1365
14.5%
3450000 2189
23.2%
3440000 682
 
7.2%
3430000 930
9.8%
3420000 1282
13.6%
3410000 288
 
3.1%

관리번호
Real number (ℝ)

UNIQUE 

Distinct9442
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4500508 × 1017
Minimum3.41 × 1017
Maximum3.48 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size83.1 KiB
2023-12-11T04:46:09.886861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.41 × 1017
5-th percentile3.42 × 1017
Q13.43 × 1017
median3.45 × 1017
Q33.47 × 1017
95-th percentile3.48 × 1017
Maximum3.48 × 1017
Range7 × 1015
Interquartile range (IQR)4 × 1015

Descriptive statistics

Standard deviation1.9740869 × 1015
Coefficient of variation (CV)0.0057219066
Kurtosis-0.97023143
Mean3.4500508 × 1017
Median Absolute Deviation (MAD)2 × 1015
Skewness-0.32096945
Sum-7.5356924 × 1018
Variance3.897019 × 1030
MonotonicityNot monotonic
2023-12-11T04:46:10.141351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341000000920000004 1
 
< 0.1%
346000000919980023 1
 
< 0.1%
346000000920120006 1
 
< 0.1%
346000000920120009 1
 
< 0.1%
346000000920120011 1
 
< 0.1%
346000000919980033 1
 
< 0.1%
346000000920120020 1
 
< 0.1%
346000000920120024 1
 
< 0.1%
346000000920120025 1
 
< 0.1%
346000000920120027 1
 
< 0.1%
Other values (9432) 9432
99.9%
ValueCountFrequency (%)
341000000919730001 1
< 0.1%
341000000919760001 1
< 0.1%
341000000919780001 1
< 0.1%
341000000919800001 1
< 0.1%
341000000919800002 1
< 0.1%
341000000919810001 1
< 0.1%
341000000919820001 1
< 0.1%
341000000919830001 1
< 0.1%
341000000919840001 1
< 0.1%
341000000919850001 1
< 0.1%
ValueCountFrequency (%)
348000000920230019 1
< 0.1%
348000000920230018 1
< 0.1%
348000000920230017 1
< 0.1%
348000000920230016 1
< 0.1%
348000000920230015 1
< 0.1%
348000000920230014 1
< 0.1%
348000000920230013 1
< 0.1%
348000000920230012 1
< 0.1%
348000000920230011 1
< 0.1%
348000000920230010 1
< 0.1%

인허가일자
Date

Distinct4831
Distinct (%)51.2%
Missing0
Missing (%)0.0%
Memory size73.9 KiB
Minimum1900-01-01 00:00:00
Maximum2023-06-29 00:00:00
2023-12-11T04:46:10.627409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:46:10.840427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9442
Missing (%)100.0%
Memory size83.1 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size73.9 KiB
3
5828 
1
3337 
4
 
261
2
 
16

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 5828
61.7%
1 3337
35.3%
4 261
 
2.8%
2 16
 
0.2%

Length

2023-12-11T04:46:11.053479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:46:11.228085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 5828
61.7%
1 3337
35.3%
4 261
 
2.8%
2 16
 
0.2%

영업상태명
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size73.9 KiB
폐업
5828 
영업/정상
3337 
취소/말소/만료/정지/중지
 
261
휴업
 
16

Length

Max length14
Median length2
Mean length3.391972
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 5828
61.7%
영업/정상 3337
35.3%
취소/말소/만료/정지/중지 261
 
2.8%
휴업 16
 
0.2%

Length

2023-12-11T04:46:11.408201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:46:11.575500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 5828
61.7%
영업/정상 3337
35.3%
취소/말소/만료/정지/중지 261
 
2.8%
휴업 16
 
0.2%

상세영업상태코드
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size73.9 KiB
0002
5828 
0000
3334 
0004
 
243
0003
 
18
0001
 
16

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0002
2nd row0002
3rd row0002
4th row0002
5th row0002

Common Values

ValueCountFrequency (%)
0002 5828
61.7%
0000 3334
35.3%
0004 243
 
2.6%
0003 18
 
0.2%
0001 16
 
0.2%
BBBB 3
 
< 0.1%

Length

2023-12-11T04:46:11.733529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:46:11.897820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0002 5828
61.7%
0000 3334
35.3%
0004 243
 
2.6%
0003 18
 
0.2%
0001 16
 
0.2%
bbbb 3
 
< 0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size73.9 KiB
폐업
5828 
정상
3334 
말소
 
243
행정처분
 
18
휴업
 
16

Length

Max length4
Median length2
Mean length2.0044482
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 5828
61.7%
정상 3334
35.3%
말소 243
 
2.6%
행정처분 18
 
0.2%
휴업 16
 
0.2%
<NA> 3
 
< 0.1%

Length

2023-12-11T04:46:12.091060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:46:12.261726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 5828
61.7%
정상 3334
35.3%
말소 243
 
2.6%
행정처분 18
 
0.2%
휴업 16
 
0.2%
na 3
 
< 0.1%

폐업일자
Date

MISSING 

Distinct3234
Distinct (%)56.0%
Missing3669
Missing (%)38.9%
Memory size73.9 KiB
Minimum1998-09-19 00:00:00
Maximum2023-06-27 00:00:00
2023-12-11T04:46:12.464546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:46:12.711459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct18
Distinct (%)94.7%
Missing9423
Missing (%)99.8%
Memory size73.9 KiB
Minimum2001-12-11 00:00:00
Maximum2022-11-23 00:00:00
2023-12-11T04:46:12.905455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:46:13.099653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)

휴업종료일자
Date

MISSING 

Distinct13
Distinct (%)100.0%
Missing9429
Missing (%)99.9%
Memory size73.9 KiB
Minimum2006-10-17 00:00:00
Maximum2024-11-22 00:00:00
2023-12-11T04:46:13.276513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:46:13.411612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)

재개업일자
Date

MISSING 

Distinct4
Distinct (%)100.0%
Missing9438
Missing (%)> 99.9%
Memory size73.9 KiB
Minimum2003-04-01 00:00:00
Maximum2015-12-17 00:00:00
2023-12-11T04:46:13.536959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:46:13.692833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

소재지전화
Text

MISSING 

Distinct5300
Distinct (%)93.5%
Missing3776
Missing (%)40.0%
Memory size73.9 KiB
2023-12-11T04:46:14.075041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length8
Mean length9.6466643
Min length7

Characters and Unicode

Total characters54658
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

Unique4987 ?
Unique (%)88.0%

Sample

1st row427-8131
2nd row252-4016
3rd row253-3240
4th row421-3532
5th row793-9095
ValueCountFrequency (%)
258-3012 12
 
0.2%
258-3011 5
 
0.1%
582-9901 5
 
0.1%
0535507830 5
 
0.1%
055-324-2112 5
 
0.1%
258-2002 4
 
0.1%
258-2003 4
 
0.1%
561-6665 4
 
0.1%
053-321-9900 4
 
0.1%
754-4450 4
 
0.1%
Other values (5287) 5614
99.1%
2023-12-11T04:46:14.712277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 7956
14.6%
- 7514
13.7%
3 6586
12.0%
0 5394
9.9%
6 4815
8.8%
2 4674
8.6%
7 3650
6.7%
1 3521
6.4%
8 3429
6.3%
9 3422
6.3%
Other values (7) 3697
6.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 46857
85.7%
Dash Punctuation 7514
 
13.7%
Close Punctuation 173
 
0.3%
Open Punctuation 54
 
0.1%
Other Punctuation 53
 
0.1%
Math Symbol 7
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 7956
17.0%
3 6586
14.1%
0 5394
11.5%
6 4815
10.3%
2 4674
10.0%
7 3650
7.8%
1 3521
7.5%
8 3429
7.3%
9 3422
7.3%
4 3410
7.3%
Other Punctuation
ValueCountFrequency (%)
, 47
88.7%
/ 4
 
7.5%
. 2
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 7514
100.0%
Close Punctuation
ValueCountFrequency (%)
) 173
100.0%
Open Punctuation
ValueCountFrequency (%)
( 54
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 54658
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 7956
14.6%
- 7514
13.7%
3 6586
12.0%
0 5394
9.9%
6 4815
8.8%
2 4674
8.6%
7 3650
6.7%
1 3521
6.4%
8 3429
6.3%
9 3422
6.3%
Other values (7) 3697
6.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 54658
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 7956
14.6%
- 7514
13.7%
3 6586
12.0%
0 5394
9.9%
6 4815
8.8%
2 4674
8.6%
7 3650
6.7%
1 3521
6.4%
8 3429
6.3%
9 3422
6.3%
Other values (7) 3697
6.8%

소재지면적
Real number (ℝ)

SKEWED  ZEROS 

Distinct4168
Distinct (%)44.2%
Missing21
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean111.03173
Minimum0
Maximum37829
Zeros696
Zeros (%)7.4%
Negative0
Negative (%)0.0%
Memory size83.1 KiB
2023-12-11T04:46:14.933926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q116.32
median31.36
Q369.3
95-th percentile324.65
Maximum37829
Range37829
Interquartile range (IQR)52.98

Descriptive statistics

Standard deviation718.5866
Coefficient of variation (CV)6.4719033
Kurtosis1168.7428
Mean111.03173
Median Absolute Deviation (MAD)19.36
Skewness29.719831
Sum1046029.9
Variance516366.7
MonotonicityNot monotonic
2023-12-11T04:46:15.113765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 696
 
7.4%
20.0 81
 
0.9%
30.0 60
 
0.6%
15.0 57
 
0.6%
24.0 56
 
0.6%
33.0 51
 
0.5%
36.0 50
 
0.5%
12.0 46
 
0.5%
10.0 45
 
0.5%
16.0 44
 
0.5%
Other values (4158) 8235
87.2%
ValueCountFrequency (%)
0.0 696
7.4%
0.42 1
 
< 0.1%
0.51 1
 
< 0.1%
0.84 1
 
< 0.1%
1.0 20
 
0.2%
1.65 2
 
< 0.1%
1.7 1
 
< 0.1%
1.8 2
 
< 0.1%
1.84 1
 
< 0.1%
1.92 2
 
< 0.1%
ValueCountFrequency (%)
37829.0 1
< 0.1%
24645.0 1
< 0.1%
18704.02 1
< 0.1%
18232.38 1
< 0.1%
17821.55 1
< 0.1%
17193.17 2
< 0.1%
10459.13 1
< 0.1%
9603.64 1
< 0.1%
9192.91 1
< 0.1%
8596.58 2
< 0.1%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9442
Missing (%)100.0%
Memory size83.1 KiB

소재지전체주소
Text

Distinct7727
Distinct (%)82.2%
Missing40
Missing (%)0.4%
Memory size73.9 KiB
2023-12-11T04:46:15.638854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length53
Mean length21.891193
Min length7

Characters and Unicode

Total characters205821
Distinct characters395
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

Unique6586 ?
Unique (%)70.0%

Sample

1st row대구광역시 중구 남산동 915-21
2nd row대구광역시 중구 남산동 611-34 남문시장내
3rd row대구광역시 중구 남산동 699-7 남문시장내
4th row대구광역시 중구 동인동4가 417-2
5th row대구광역시 중구 남산동 109-9 남문시장내
ValueCountFrequency (%)
대구광역시 9401
22.5%
북구 2186
 
5.2%
달서구 1873
 
4.5%
수성구 1356
 
3.2%
동구 1280
 
3.1%
서구 928
 
2.2%
달성군 809
 
1.9%
남구 681
 
1.6%
대명동 492
 
1.2%
평리동 292
 
0.7%
Other values (7672) 22474
53.8%
2023-12-11T04:46:16.336562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
41799
20.3%
구 18260
 
8.9%
1 10935
 
5.3%
동 10701
 
5.2%
대 10271
 
5.0%
시 9620
 
4.7%
역 9418
 
4.6%
광 9417
 
4.6%
- 7740
 
3.8%
2 5646
 
2.7%
Other values (385) 72014
35.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 109529
53.2%
Decimal Number 45956
22.3%
Space Separator 41799
 
20.3%
Dash Punctuation 7740
 
3.8%
Uppercase Letter 375
 
0.2%
Other Punctuation 179
 
0.1%
Open Punctuation 111
 
0.1%
Close Punctuation 111
 
0.1%
Lowercase Letter 17
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 18260
16.7%
동 10701
 
9.8%
대 10271
 
9.4%
시 9620
 
8.8%
역 9418
 
8.6%
광 9417
 
8.6%
서 3077
 
2.8%
성 2925
 
2.7%
달 2766
 
2.5%
북 2238
 
2.0%
Other values (345) 30836
28.2%
Uppercase Letter
ValueCountFrequency (%)
A 151
40.3%
B 70
18.7%
T 55
 
14.7%
P 55
 
14.7%
C 13
 
3.5%
K 8
 
2.1%
O 6
 
1.6%
L 5
 
1.3%
D 5
 
1.3%
E 3
 
0.8%
Other values (3) 4
 
1.1%
Decimal Number
ValueCountFrequency (%)
1 10935
23.8%
2 5646
12.3%
3 4753
10.3%
0 4057
 
8.8%
5 3841
 
8.4%
4 3840
 
8.4%
7 3381
 
7.4%
6 3369
 
7.3%
8 3115
 
6.8%
9 3019
 
6.6%
Other Punctuation
ValueCountFrequency (%)
, 121
67.6%
/ 39
 
21.8%
@ 15
 
8.4%
. 2
 
1.1%
· 1
 
0.6%
: 1
 
0.6%
Lowercase Letter
ValueCountFrequency (%)
b 7
41.2%
e 4
23.5%
a 2
 
11.8%
d 2
 
11.8%
k 1
 
5.9%
s 1
 
5.9%
Space Separator
ValueCountFrequency (%)
41799
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7740
100.0%
Open Punctuation
ValueCountFrequency (%)
( 111
100.0%
Close Punctuation
ValueCountFrequency (%)
) 111
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 109529
53.2%
Common 95900
46.6%
Latin 392
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 18260
16.7%
동 10701
 
9.8%
대 10271
 
9.4%
시 9620
 
8.8%
역 9418
 
8.6%
광 9417
 
8.6%
서 3077
 
2.8%
성 2925
 
2.7%
달 2766
 
2.5%
북 2238
 
2.0%
Other values (345) 30836
28.2%
Common
ValueCountFrequency (%)
41799
43.6%
1 10935
 
11.4%
- 7740
 
8.1%
2 5646
 
5.9%
3 4753
 
5.0%
0 4057
 
4.2%
5 3841
 
4.0%
4 3840
 
4.0%
7 3381
 
3.5%
6 3369
 
3.5%
Other values (11) 6539
 
6.8%
Latin
ValueCountFrequency (%)
A 151
38.5%
B 70
17.9%
T 55
 
14.0%
P 55
 
14.0%
C 13
 
3.3%
K 8
 
2.0%
b 7
 
1.8%
O 6
 
1.5%
L 5
 
1.3%
D 5
 
1.3%
Other values (9) 17
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 109529
53.2%
ASCII 96291
46.8%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
41799
43.4%
1 10935
 
11.4%
- 7740
 
8.0%
2 5646
 
5.9%
3 4753
 
4.9%
0 4057
 
4.2%
5 3841
 
4.0%
4 3840
 
4.0%
7 3381
 
3.5%
6 3369
 
3.5%
Other values (29) 6930
 
7.2%
Hangul
ValueCountFrequency (%)
구 18260
16.7%
동 10701
 
9.8%
대 10271
 
9.4%
시 9620
 
8.8%
역 9418
 
8.6%
광 9417
 
8.6%
서 3077
 
2.8%
성 2925
 
2.7%
달 2766
 
2.5%
북 2238
 
2.0%
Other values (345) 30836
28.2%
None
ValueCountFrequency (%)
· 1
100.0%

도로명전체주소
Text

MISSING 

Distinct7324
Distinct (%)83.3%
Missing649
Missing (%)6.9%
Memory size73.9 KiB
2023-12-11T04:46:16.834837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length56
Mean length26.433754
Min length19

Characters and Unicode

Total characters232432
Distinct characters427
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6300 ?
Unique (%)71.6%

Sample

1st row대구광역시 중구 국채보상로150길 50 (동인동4가)
2nd row대구광역시 중구 동덕로 33 (대봉동)
3rd row대구광역시 중구 남산로6길 10 (남산동)
4th row대구광역시 중구 명륜로 70 (남산동)
5th row대구광역시 중구 남산로13길 17 (남산동)
ValueCountFrequency (%)
대구광역시 8793
 
18.8%
북구 1897
 
4.1%
달서구 1850
 
4.0%
수성구 1296
 
2.8%
동구 1225
 
2.6%
서구 914
 
2.0%
달성군 764
 
1.6%
남구 665
 
1.4%
1층 449
 
1.0%
대명동 423
 
0.9%
Other values (5212) 28542
61.0%
2023-12-11T04:46:17.636204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
38039
 
16.4%
구 17879
 
7.7%
동 11046
 
4.8%
대 10858
 
4.7%
시 9160
 
3.9%
역 8869
 
3.8%
광 8812
 
3.8%
1 8752
 
3.8%
로 8352
 
3.6%
) 8206
 
3.5%
Other values (417) 102459
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 137461
59.1%
Space Separator 38039
 
16.4%
Decimal Number 35758
 
15.4%
Close Punctuation 8206
 
3.5%
Open Punctuation 8206
 
3.5%
Other Punctuation 2541
 
1.1%
Dash Punctuation 1866
 
0.8%
Uppercase Letter 325
 
0.1%
Lowercase Letter 24
 
< 0.1%
Math Symbol 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 17879
 
13.0%
동 11046
 
8.0%
대 10858
 
7.9%
시 9160
 
6.7%
역 8869
 
6.5%
광 8812
 
6.4%
로 8352
 
6.1%
길 5443
 
4.0%
서 3634
 
2.6%
달 3333
 
2.4%
Other values (374) 50075
36.4%
Uppercase Letter
ValueCountFrequency (%)
A 134
41.2%
B 69
21.2%
T 39
 
12.0%
P 38
 
11.7%
C 15
 
4.6%
O 8
 
2.5%
K 7
 
2.2%
L 5
 
1.5%
D 5
 
1.5%
H 2
 
0.6%
Other values (2) 3
 
0.9%
Decimal Number
ValueCountFrequency (%)
1 8752
24.5%
2 5045
14.1%
3 4064
11.4%
4 3102
 
8.7%
5 3089
 
8.6%
0 2720
 
7.6%
6 2652
 
7.4%
7 2436
 
6.8%
9 1983
 
5.5%
8 1915
 
5.4%
Lowercase Letter
ValueCountFrequency (%)
b 6
25.0%
e 5
20.8%
a 4
16.7%
s 3
12.5%
d 2
 
8.3%
f 1
 
4.2%
y 1
 
4.2%
k 1
 
4.2%
c 1
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 2490
98.0%
/ 28
 
1.1%
@ 14
 
0.6%
. 4
 
0.2%
· 3
 
0.1%
& 1
 
< 0.1%
: 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
38039
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8206
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8206
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1866
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 137459
59.1%
Common 94622
40.7%
Latin 349
 
0.2%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 17879
 
13.0%
동 11046
 
8.0%
대 10858
 
7.9%
시 9160
 
6.7%
역 8869
 
6.5%
광 8812
 
6.4%
로 8352
 
6.1%
길 5443
 
4.0%
서 3634
 
2.6%
달 3333
 
2.4%
Other values (373) 50073
36.4%
Common
ValueCountFrequency (%)
38039
40.2%
1 8752
 
9.2%
) 8206
 
8.7%
( 8206
 
8.7%
2 5045
 
5.3%
3 4064
 
4.3%
4 3102
 
3.3%
5 3089
 
3.3%
0 2720
 
2.9%
6 2652
 
2.8%
Other values (12) 10747
 
11.4%
Latin
ValueCountFrequency (%)
A 134
38.4%
B 69
19.8%
T 39
 
11.2%
P 38
 
10.9%
C 15
 
4.3%
O 8
 
2.3%
K 7
 
2.0%
b 6
 
1.7%
L 5
 
1.4%
D 5
 
1.4%
Other values (11) 23
 
6.6%
Han
ValueCountFrequency (%)
內 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 137459
59.1%
ASCII 94968
40.9%
None 3
 
< 0.1%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
38039
40.1%
1 8752
 
9.2%
) 8206
 
8.6%
( 8206
 
8.6%
2 5045
 
5.3%
3 4064
 
4.3%
4 3102
 
3.3%
5 3089
 
3.3%
0 2720
 
2.9%
6 2652
 
2.8%
Other values (32) 11093
 
11.7%
Hangul
ValueCountFrequency (%)
구 17879
 
13.0%
동 11046
 
8.0%
대 10858
 
7.9%
시 9160
 
6.7%
역 8869
 
6.5%
광 8812
 
6.4%
로 8352
 
6.1%
길 5443
 
4.0%
서 3634
 
2.6%
달 3333
 
2.4%
Other values (373) 50073
36.4%
None
ValueCountFrequency (%)
· 3
100.0%
CJK
ValueCountFrequency (%)
內 2
100.0%

도로명우편번호
Text

MISSING 

Distinct1058
Distinct (%)26.6%
Missing5465
Missing (%)57.9%
Memory size73.9 KiB
2023-12-11T04:46:18.178341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0040231
Min length5

Characters and Unicode

Total characters19901
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

Unique291 ?
Unique (%)7.3%

Sample

1st row41946
2nd row41954
3rd row41972
4th row41968
5th row41978
ValueCountFrequency (%)
41485 31
 
0.8%
41598 31
 
0.8%
41843 29
 
0.7%
41582 28
 
0.7%
42617 27
 
0.7%
41418 26
 
0.7%
41472 25
 
0.6%
42974 24
 
0.6%
41490 22
 
0.6%
41412 20
 
0.5%
Other values (1048) 3714
93.4%
2023-12-11T04:46:19.005609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 5506
27.7%
1 3225
16.2%
2 2951
14.8%
7 1354
 
6.8%
9 1309
 
6.6%
5 1246
 
6.3%
0 1221
 
6.1%
6 1131
 
5.7%
8 1098
 
5.5%
3 852
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 19893
> 99.9%
Dash Punctuation 8
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 5506
27.7%
1 3225
16.2%
2 2951
14.8%
7 1354
 
6.8%
9 1309
 
6.6%
5 1246
 
6.3%
0 1221
 
6.1%
6 1131
 
5.7%
8 1098
 
5.5%
3 852
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 19901
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 5506
27.7%
1 3225
16.2%
2 2951
14.8%
7 1354
 
6.8%
9 1309
 
6.6%
5 1246
 
6.3%
0 1221
 
6.1%
6 1131
 
5.7%
8 1098
 
5.5%
3 852
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19901
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 5506
27.7%
1 3225
16.2%
2 2951
14.8%
7 1354
 
6.8%
9 1309
 
6.6%
5 1246
 
6.3%
0 1221
 
6.1%
6 1131
 
5.7%
8 1098
 
5.5%
3 852
 
4.3%

사업장명
Text

Distinct7282
Distinct (%)77.1%
Missing0
Missing (%)0.0%
Memory size73.9 KiB
2023-12-11T04:46:19.449401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length27
Mean length6.4980936
Min length1

Characters and Unicode

Total characters61355
Distinct characters705
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6141 ?
Unique (%)65.0%

Sample

1st row대구축산남산점
2nd row대도식육점
3rd row신토불이한우촌
4th row대한축산
5th row황우마을
ValueCountFrequency (%)
주식회사 160
 
1.4%
식육점 58
 
0.5%
축산 47
 
0.4%
정육 41
 
0.4%
한우 41
 
0.4%
매일유업 37
 
0.3%
대백마트 37
 
0.3%
고기마트 35
 
0.3%
정육코너 31
 
0.3%
남양유업 30
 
0.3%
Other values (7358) 10649
95.4%
2023-12-11T04:46:20.141198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 3056
 
5.0%
식 2766
 
4.5%
육 2567
 
4.2%
산 2072
 
3.4%
우 2041
 
3.3%
축 1728
 
2.8%
1725
 
2.8%
대 1680
 
2.7%
한 1662
 
2.7%
유 1329
 
2.2%
Other values (695) 40729
66.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 56606
92.3%
Space Separator 1725
 
2.8%
Close Punctuation 977
 
1.6%
Open Punctuation 955
 
1.6%
Uppercase Letter 650
 
1.1%
Decimal Number 176
 
0.3%
Lowercase Letter 148
 
0.2%
Other Punctuation 96
 
0.2%
Dash Punctuation 18
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 3056
 
5.4%
식 2766
 
4.9%
육 2567
 
4.5%
산 2072
 
3.7%
우 2041
 
3.6%
축 1728
 
3.1%
대 1680
 
3.0%
한 1662
 
2.9%
유 1329
 
2.3%
트 1080
 
1.9%
Other values (628) 36625
64.7%
Uppercase Letter
ValueCountFrequency (%)
K 81
12.5%
S 71
10.9%
O 59
 
9.1%
D 53
 
8.2%
A 50
 
7.7%
F 43
 
6.6%
L 38
 
5.8%
M 37
 
5.7%
G 28
 
4.3%
C 28
 
4.3%
Other values (13) 162
24.9%
Lowercase Letter
ValueCountFrequency (%)
o 26
17.6%
e 14
 
9.5%
a 13
 
8.8%
n 9
 
6.1%
m 9
 
6.1%
c 8
 
5.4%
k 8
 
5.4%
d 8
 
5.4%
f 7
 
4.7%
t 7
 
4.7%
Other values (10) 39
26.4%
Decimal Number
ValueCountFrequency (%)
1 54
30.7%
2 32
18.2%
0 20
 
11.4%
3 15
 
8.5%
5 13
 
7.4%
7 11
 
6.2%
8 10
 
5.7%
6 9
 
5.1%
4 7
 
4.0%
9 5
 
2.8%
Other Punctuation
ValueCountFrequency (%)
. 46
47.9%
& 31
32.3%
, 8
 
8.3%
· 5
 
5.2%
＆ 4
 
4.2%
% 1
 
1.0%
! 1
 
1.0%
Math Symbol
ValueCountFrequency (%)
+ 2
50.0%
< 1
25.0%
> 1
25.0%
Space Separator
ValueCountFrequency (%)
1725
100.0%
Close Punctuation
ValueCountFrequency (%)
) 977
100.0%
Open Punctuation
ValueCountFrequency (%)
( 955
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 56600
92.3%
Common 3951
 
6.4%
Latin 798
 
1.3%
Han 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 3056
 
5.4%
식 2766
 
4.9%
육 2567
 
4.5%
산 2072
 
3.7%
우 2041
 
3.6%
축 1728
 
3.1%
대 1680
 
3.0%
한 1662
 
2.9%
유 1329
 
2.3%
트 1080
 
1.9%
Other values (622) 36619
64.7%
Latin
ValueCountFrequency (%)
K 81
 
10.2%
S 71
 
8.9%
O 59
 
7.4%
D 53
 
6.6%
A 50
 
6.3%
F 43
 
5.4%
L 38
 
4.8%
M 37
 
4.6%
G 28
 
3.5%
C 28
 
3.5%
Other values (33) 310
38.8%
Common
ValueCountFrequency (%)
1725
43.7%
) 977
24.7%
( 955
24.2%
1 54
 
1.4%
. 46
 
1.2%
2 32
 
0.8%
& 31
 
0.8%
0 20
 
0.5%
- 18
 
0.5%
3 15
 
0.4%
Other values (14) 78
 
2.0%
Han
ValueCountFrequency (%)
三 1
16.7%
肉 1
16.7%
韓 1
16.7%
名 1
16.7%
好 1
16.7%
品 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 56600
92.3%
ASCII 4740
 
7.7%
None 9
 
< 0.1%
CJK 6
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 3056
 
5.4%
식 2766
 
4.9%
육 2567
 
4.5%
산 2072
 
3.7%
우 2041
 
3.6%
축 1728
 
3.1%
대 1680
 
3.0%
한 1662
 
2.9%
유 1329
 
2.3%
트 1080
 
1.9%
Other values (622) 36619
64.7%
ASCII
ValueCountFrequency (%)
1725
36.4%
) 977
20.6%
( 955
20.1%
K 81
 
1.7%
S 71
 
1.5%
O 59
 
1.2%
1 54
 
1.1%
D 53
 
1.1%
A 50
 
1.1%
. 46
 
1.0%
Other values (55) 669
 
14.1%
None
ValueCountFrequency (%)
· 5
55.6%
＆ 4
44.4%
CJK
ValueCountFrequency (%)
三 1
16.7%
肉 1
16.7%
韓 1
16.7%
名 1
16.7%
好 1
16.7%
品 1
16.7%

최종수정시점
Date

UNIQUE 

Distinct9442
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size73.9 KiB
Minimum2003-01-10 11:13:44
Maximum2023-06-29 16:05:45
2023-12-11T04:46:20.360398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:46:20.570100image/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 size73.9 KiB
I
7600 
U
1842 

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 7600
80.5%
U 1842
 
19.5%

Length

2023-12-11T04:46:20.787342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:46:20.935543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 7600
80.5%
u 1842
 
19.5%

데이터갱신일자
Date

Distinct1298
Distinct (%)13.7%
Missing0
Missing (%)0.0%
Memory size73.9 KiB
Minimum2018-08-31 23:59:59
Maximum2023-07-01 02:40:00
2023-12-11T04:46:21.107152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:46:21.331513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size73.9 KiB
식육판매업
7837 
우유류판매업
824 
축산물유통전문판매업
 
397
식용란수집판매업
 
166
식육부산물전문판매업
 
164
Other values (2)
 
54

Length

Max length10
Median length5
Mean length5.4538233
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
식육판매업 7837
83.0%
우유류판매업 824
 
8.7%
축산물유통전문판매업 397
 
4.2%
식용란수집판매업 166
 
1.8%
식육부산물전문판매업 164
 
1.7%
축산물수입판매업 53
 
0.6%
<NA> 1
 
< 0.1%

Length

2023-12-11T04:46:21.531382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:46:21.711391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육판매업 7837
83.0%
우유류판매업 824
 
8.7%
축산물유통전문판매업 397
 
4.2%
식용란수집판매업 166
 
1.8%
식육부산물전문판매업 164
 
1.7%
축산물수입판매업 53
 
0.6%
na 1
 
< 0.1%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct6570
Distinct (%)73.8%
Missing534
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean342563.19
Minimum326032.48
Maximum358621.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size83.1 KiB
2023-12-11T04:46:21.920519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum326032.48
5-th percentile333185.9
Q1339299.69
median341835.61
Q3346159.2
95-th percentile353364.72
Maximum358621.97
Range32589.484
Interquartile range (IQR)6859.5108

Descriptive statistics

Standard deviation5497.4602
Coefficient of variation (CV)0.016048018
Kurtosis0.14725073
Mean342563.19
Median Absolute Deviation (MAD)3405.9605
Skewness0.13423652
Sum3.0515529 × 109
Variance30222069
MonotonicityNot monotonic
2023-12-11T04:46:22.135174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
345282.157721122 86
 
0.9%
339047.793378934 46
 
0.5%
344052.576927614 24
 
0.3%
339243.983122111 16
 
0.2%
340767.090334337 12
 
0.1%
339454.576462567 11
 
0.1%
344247.432366048 10
 
0.1%
340425.612585211 9
 
0.1%
341503.201074843 9
 
0.1%
339445.070729084 9
 
0.1%
Other values (6560) 8676
91.9%
(Missing) 534
 
5.7%
ValueCountFrequency (%)
326032.481594907 2
 
< 0.1%
326488.724748937 1
 
< 0.1%
327085.64897563 1
 
< 0.1%
327184.035391005 1
 
< 0.1%
327211.930687002 1
 
< 0.1%
327251.925895668 1
 
< 0.1%
327260.01385849 1
 
< 0.1%
327471.744219179 6
0.1%
327486.570257858 1
 
< 0.1%
327579.180385712 1
 
< 0.1%
ValueCountFrequency (%)
358621.965462942 1
< 0.1%
358479.24899535 1
< 0.1%
358071.04031475 1
< 0.1%
358028.908240955 1
< 0.1%
357881.329153021 1
< 0.1%
357870.136201308 1
< 0.1%
356547.781557217 1
< 0.1%
356534.131252198 1
< 0.1%
356521.273091503 1
< 0.1%
356490.807776448 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct6570
Distinct (%)73.8%
Missing534
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean263485.45
Minimum237969.89
Maximum278391.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size83.1 KiB
2023-12-11T04:46:22.466679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum237969.89
5-th percentile256695.48
Q1261028.85
median263506.5
Q3266136.74
95-th percentile271858.18
Maximum278391.73
Range40421.841
Interquartile range (IQR)5107.8814

Descriptive statistics

Standard deviation4920.98
Coefficient of variation (CV)0.018676477
Kurtosis3.0345975
Mean263485.45
Median Absolute Deviation (MAD)2552.8508
Skewness-0.85506799
Sum2.3471284 × 109
Variance24216044
MonotonicityNot monotonic
2023-12-11T04:46:23.080512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
269562.06849397 86
 
0.9%
258741.902180368 46
 
0.5%
265131.653371228 24
 
0.3%
268026.454530584 16
 
0.2%
272960.371629491 12
 
0.1%
263574.691171547 11
 
0.1%
265051.422829249 10
 
0.1%
262761.163676007 9
 
0.1%
260573.913697257 9
 
0.1%
261129.150045241 9
 
0.1%
Other values (6560) 8676
91.9%
(Missing) 534
 
5.7%
ValueCountFrequency (%)
237969.888265602 1
< 0.1%
238824.505920574 1
< 0.1%
239215.735475262 1
< 0.1%
239536.919741222 1
< 0.1%
240203.513505055 1
< 0.1%
240205.085493659 1
< 0.1%
240358.722944009 1
< 0.1%
240364.984179969 1
< 0.1%
240398.246695577 1
< 0.1%
240452.595560483 1
< 0.1%
ValueCountFrequency (%)
278391.728963496 1
< 0.1%
278194.325633172 1
< 0.1%
277996.25912807 1
< 0.1%
277604.54111986 1
< 0.1%
277523.8733537 1
< 0.1%
277492.526874763 1
< 0.1%
277296.421135785 1
< 0.1%
277204.50413986 1
< 0.1%
277196.710642912 1
< 0.1%
276003.175768615 1
< 0.1%

축산업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size73.9 KiB
축산물판매업
9442 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
축산물판매업 9442
100.0%

Length

2023-12-11T04:46:23.316650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:46:23.465063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산물판매업 9442
100.0%

축산물가공업구분명
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size73.9 KiB
식육판매업
7837 
우유류판매업
824 
축산물유통전문판매업
 
397
식용란수집판매업
 
166
식육부산물전문판매업
 
164
Other values (2)
 
54

Length

Max length10
Median length5
Mean length5.4538233
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
식육판매업 7837
83.0%
우유류판매업 824
 
8.7%
축산물유통전문판매업 397
 
4.2%
식용란수집판매업 166
 
1.8%
식육부산물전문판매업 164
 
1.7%
축산물수입판매업 53
 
0.6%
<NA> 1
 
< 0.1%

Length

2023-12-11T04:46:23.628921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:46:23.810567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육판매업 7837
83.0%
우유류판매업 824
 
8.7%
축산물유통전문판매업 397
 
4.2%
식용란수집판매업 166
 
1.8%
식육부산물전문판매업 164
 
1.7%
축산물수입판매업 53
 
0.6%
na 1
 
< 0.1%

축산일련번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size73.9 KiB
<NA>
8480 
0
962 

Length

Max length4
Median length4
Mean length3.6943444
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8480
89.8%
0 962
 
10.2%

Length

2023-12-11T04:46:24.013763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:46:24.154090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8480
89.8%
0 962
 
10.2%

권리주체일련번호
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size73.9 KiB
000
8372 
L00
1058 
F00
 
5
010
 
4
100
 
3

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row000
2nd row000
3rd row000
4th row000
5th row000

Common Values

ValueCountFrequency (%)
000 8372
88.7%
L00 1058
 
11.2%
F00 5
 
0.1%
010 4
 
< 0.1%
100 3
 
< 0.1%

Length

2023-12-11T04:46:24.329234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:46:24.493448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 8372
88.7%
l00 1058
 
11.2%
f00 5
 
0.1%
010 4
 
< 0.1%
100 3
 
< 0.1%

총직원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size73.9 KiB
<NA>
8480 
0
962 

Length

Max length4
Median length4
Mean length3.6943444
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8480
89.8%
0 962
 
10.2%

Length

2023-12-11T04:46:24.654034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:46:24.812099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8480
89.8%
0 962
 
10.2%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총직원수
01축산판매업07_22_04_P34100003410000009200000042000-04-24<NA>3폐업0002폐업2009-07-20<NA><NA><NA>427-813131.57<NA>대구광역시 중구 남산동 915-21<NA><NA>대구축산남산점2009-07-20 16:50:09I2018-08-31 23:59:59식육판매업344003.244717263701.990489축산물판매업식육판매업<NA>000<NA>
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67축산판매업07_22_04_P34100003410000009200100012001-02-27<NA>3폐업0002폐업2020-04-06<NA><NA><NA>427-877729.6<NA>대구광역시 중구 대봉동 44-10대구광역시 중구 동덕로 33 (대봉동)41954청운식육점2020-04-06 10:02:33U2020-04-08 02:40:00식육판매업344728.621174263286.553667축산물판매업식육판매업<NA>000<NA>
78축산판매업07_22_04_P34100003410000009200100022001-03-17<NA>3폐업0002폐업2005-02-23<NA><NA><NA>521-984410.5<NA>대구광역시 중구 대신동 265-8 서문시장내<NA><NA>매일식육점2005-02-23 10:21:35I2018-08-31 23:59:59식육판매업342549.993232264269.307815축산물판매업식육판매업<NA>000<NA>
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910축산판매업07_22_04_P34100003410000009200100052001-06-18<NA>3폐업0002폐업2005-01-10<NA><NA><NA>256-738927.6<NA>대구광역시 중구 남산동 699-7 남문시장내<NA><NA>대경유통2005-01-10 18:06:01I2018-08-31 23:59:59식육판매업343678.622451263488.433875축산물판매업식육판매업<NA>000<NA>
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