Overview

Dataset statistics

Number of variables34
Number of observations2090
Missing cells17626
Missing cells (%)24.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory581.8 KiB
Average record size in memory285.1 B

Variable types

Numeric5
Categorical13
DateTime7
Unsupported3
Text6

Dataset

Description23년09월_6270000_대구광역시_02_04_01_P_가축사육업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000100971&dataSetDetailId=DDI_0000100983&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
축산업무구분명 has constant value ""Constant
권리주체일련번호 is highly imbalanced (94.2%)Imbalance
주사육업종 is highly imbalanced (67.2%)Imbalance
인허가취소일자 has 2090 (100.0%) missing valuesMissing
폐업일자 has 1465 (70.1%) missing valuesMissing
휴업시작일자 has 2024 (96.8%) missing valuesMissing
휴업종료일자 has 2024 (96.8%) missing valuesMissing
재개업일자 has 2084 (99.7%) missing valuesMissing
소재지전화 has 1501 (71.8%) missing valuesMissing
소재지우편번호 has 296 (14.2%) missing valuesMissing
소재지전체주소 has 103 (4.9%) missing valuesMissing
도로명전체주소 has 495 (23.7%) missing valuesMissing
도로명우편번호 has 950 (45.5%) missing valuesMissing
업태구분명 has 2090 (100.0%) missing valuesMissing
좌표정보(X) has 207 (9.9%) missing valuesMissing
좌표정보(Y) has 207 (9.9%) missing valuesMissing
축산물가공업구분명 has 2090 (100.0%) missing valuesMissing
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
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
축산물가공업구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-10-21 06:08:26.837817
Analysis finished2023-10-21 06:08:30.153803
Duration3.32 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct2090
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1045.5
Minimum1
Maximum2090
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.5 KiB
2023-10-21T06:08:30.583412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile105.45
Q1523.25
median1045.5
Q31567.75
95-th percentile1985.55
Maximum2090
Range2089
Interquartile range (IQR)1044.5

Descriptive statistics

Standard deviation603.47535
Coefficient of variation (CV)0.5772122
Kurtosis-1.2
Mean1045.5
Median Absolute Deviation (MAD)522.5
Skewness0
Sum2185095
Variance364182.5
MonotonicityStrictly increasing
2023-10-21T06:08:31.480618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1405 1
 
< 0.1%
1403 1
 
< 0.1%
1402 1
 
< 0.1%
1401 1
 
< 0.1%
1400 1
 
< 0.1%
1399 1
 
< 0.1%
1398 1
 
< 0.1%
1397 1
 
< 0.1%
1396 1
 
< 0.1%
Other values (2080) 2080
99.5%
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 (%)
2090 1
< 0.1%
2089 1
< 0.1%
2088 1
< 0.1%
2087 1
< 0.1%
2086 1
< 0.1%
2085 1
< 0.1%
2084 1
< 0.1%
2083 1
< 0.1%
2082 1
< 0.1%
2081 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size16.5 KiB
가축사육업
2090 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
가축사육업 2090
100.0%

Length

2023-10-21T06:08:32.671066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:08:33.334461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가축사육업 2090
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size16.5 KiB
02_04_01_P
2090 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row02_04_01_P
2nd row02_04_01_P
3rd row02_04_01_P
4th row02_04_01_P
5th row02_04_01_P

Common Values

ValueCountFrequency (%)
02_04_01_P 2090
100.0%

Length

2023-10-21T06:08:33.891621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:08:34.636138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02_04_01_p 2090
100.0%

개방자치단체코드
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size16.5 KiB
5141000
938 
3480000
643 
3420000
272 
3450000
206 
3460000
 
31

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3420000
2nd row3420000
3rd row3420000
4th row3420000
5th row3420000

Common Values

ValueCountFrequency (%)
5141000 938
44.9%
3480000 643
30.8%
3420000 272
 
13.0%
3450000 206
 
9.9%
3460000 31
 
1.5%

Length

2023-10-21T06:08:35.067795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:08:35.844332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5141000 938
44.9%
3480000 643
30.8%
3420000 272
 
13.0%
3450000 206
 
9.9%
3460000 31
 
1.5%

관리번호
Real number (ℝ)

UNIQUE 

Distinct2090
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.2139527 × 1017
Minimum3.42 × 1017
Maximum5.141 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.5 KiB
2023-10-21T06:08:36.580326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.42 × 1017
5-th percentile3.42 × 1017
Q13.48 × 1017
median3.48 × 1017
Q35.14 × 1017
95-th percentile5.14 × 1017
Maximum5.141 × 1017
Range1.721 × 1017
Interquartile range (IQR)1.66 × 1017

Descriptive statistics

Standard deviation8.3602424 × 1016
Coefficient of variation (CV)0.19839431
Kurtosis-1.9580267
Mean4.2139527 × 1017
Median Absolute Deviation (MAD)6 × 1015
Skewness0.20453106
Sum-4.7276086 × 1018
Variance6.9893653 × 1033
MonotonicityNot monotonic
2023-10-21T06:08:37.610906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
342000003320050071 1
 
< 0.1%
514000003320140172 1
 
< 0.1%
514000003320080084 1
 
< 0.1%
514000003320080082 1
 
< 0.1%
514000003320080081 1
 
< 0.1%
514000003320080080 1
 
< 0.1%
514000003320080065 1
 
< 0.1%
514000003320080059 1
 
< 0.1%
514000003320080056 1
 
< 0.1%
514000003320080055 1
 
< 0.1%
Other values (2080) 2080
99.5%
ValueCountFrequency (%)
342000003320050001 1
< 0.1%
342000003320050002 1
< 0.1%
342000003320050003 1
< 0.1%
342000003320050004 1
< 0.1%
342000003320050005 1
< 0.1%
342000003320050006 1
< 0.1%
342000003320050007 1
< 0.1%
342000003320050008 1
< 0.1%
342000003320050009 1
< 0.1%
342000003320050010 1
< 0.1%
ValueCountFrequency (%)
514100003320230001 1
< 0.1%
514000003320230003 1
< 0.1%
514000003320230002 1
< 0.1%
514000003320230001 1
< 0.1%
514000003320220007 1
< 0.1%
514000003320220006 1
< 0.1%
514000003320220005 1
< 0.1%
514000003320220004 1
< 0.1%
514000003320220003 1
< 0.1%
514000003320220002 1
< 0.1%

인허가일자
Date

Distinct656
Distinct (%)31.4%
Missing0
Missing (%)0.0%
Memory size16.5 KiB
Minimum2004-08-30 00:00:00
Maximum2023-08-24 00:00:00
2023-10-21T06:08:38.406146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T06:08:39.294736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2090
Missing (%)100.0%
Memory size18.5 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size16.5 KiB
1
1065 
3
627 
4
331 
2
 
67

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 (%)
1 1065
51.0%
3 627
30.0%
4 331
 
15.8%
2 67
 
3.2%

Length

2023-10-21T06:08:40.119770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:08:41.028429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1065
51.0%
3 627
30.0%
4 331
 
15.8%
2 67
 
3.2%

영업상태명
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size16.5 KiB
영업/정상
1065 
폐업
627 
취소/말소/만료/정지/중지
331 
휴업
 
67

Length

Max length14
Median length5
Mean length5.4291866
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 (%)
영업/정상 1065
51.0%
폐업 627
30.0%
취소/말소/만료/정지/중지 331
 
15.8%
휴업 67
 
3.2%

Length

2023-10-21T06:08:41.642630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:08:42.364352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 1065
51.0%
폐업 627
30.0%
취소/말소/만료/정지/중지 331
 
15.8%
휴업 67
 
3.2%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size16.5 KiB
0
1065 
2
627 
4
330 
1
 
67
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 1065
51.0%
2 627
30.0%
4 330
 
15.8%
1 67
 
3.2%
3 1
 
< 0.1%

Length

2023-10-21T06:08:43.152755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:08:44.138757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1065
51.0%
2 627
30.0%
4 330
 
15.8%
1 67
 
3.2%
3 1
 
< 0.1%

상세영업상태명
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size16.5 KiB
정상
1065 
폐업
627 
말소
330 
휴업
 
67
행정처분
 
1

Length

Max length4
Median length2
Mean length2.0009569
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
정상 1065
51.0%
폐업 627
30.0%
말소 330
 
15.8%
휴업 67
 
3.2%
행정처분 1
 
< 0.1%

Length

2023-10-21T06:08:45.072622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:08:46.263283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 1065
51.0%
폐업 627
30.0%
말소 330
 
15.8%
휴업 67
 
3.2%
행정처분 1
 
< 0.1%

폐업일자
Date

MISSING 

Distinct401
Distinct (%)64.2%
Missing1465
Missing (%)70.1%
Memory size16.5 KiB
Minimum2005-08-08 00:00:00
Maximum2023-09-05 00:00:00
2023-10-21T06:08:46.765009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T06:08:47.808899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct53
Distinct (%)80.3%
Missing2024
Missing (%)96.8%
Memory size16.5 KiB
Minimum2014-03-19 00:00:00
Maximum2023-09-01 00:00:00
2023-10-21T06:08:48.925427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T06:08:49.961595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업종료일자
Date

MISSING 

Distinct51
Distinct (%)77.3%
Missing2024
Missing (%)96.8%
Memory size16.5 KiB
Minimum2015-10-30 00:00:00
Maximum2100-01-01 00:00:00
2023-10-21T06:08:51.034271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T06:08:51.889848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

재개업일자
Date

MISSING 

Distinct5
Distinct (%)83.3%
Missing2084
Missing (%)99.7%
Memory size16.5 KiB
Minimum2014-11-11 00:00:00
Maximum2023-06-09 00:00:00
2023-10-21T06:08:52.407553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T06:08:52.919886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

소재지전화
Text

MISSING 

Distinct578
Distinct (%)98.1%
Missing1501
Missing (%)71.8%
Memory size16.5 KiB
2023-10-21T06:08:54.069179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.719864
Min length7

Characters and Unicode

Total characters6314
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique568 ?
Unique (%)96.4%

Sample

1st row053-982-9430
2nd row053-984-6759
3rd row053-982-9844
4th row053-983-2800
5th row053-962-2367
ValueCountFrequency (%)
982-6934 3
 
0.5%
053-583-3408 2
 
0.3%
791-6801 2
 
0.3%
982-9372 2
 
0.3%
614-2271 2
 
0.3%
053-616-3456 2
 
0.3%
382-4697 2
 
0.3%
053-982-4502 2
 
0.3%
053-951-1061 2
 
0.3%
053-982-7060 2
 
0.3%
Other values (568) 568
96.4%
2023-10-21T06:08:56.214313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 986
15.6%
3 782
12.4%
5 702
11.1%
0 668
10.6%
8 554
8.8%
6 527
8.3%
2 470
7.4%
1 449
7.1%
4 418
6.6%
9 408
6.5%
Other values (2) 350
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5326
84.4%
Dash Punctuation 986
 
15.6%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 782
14.7%
5 702
13.2%
0 668
12.5%
8 554
10.4%
6 527
9.9%
2 470
8.8%
1 449
8.4%
4 418
7.8%
9 408
7.7%
7 348
6.5%
Dash Punctuation
ValueCountFrequency (%)
- 986
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6314
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 986
15.6%
3 782
12.4%
5 702
11.1%
0 668
10.6%
8 554
8.8%
6 527
8.3%
2 470
7.4%
1 449
7.1%
4 418
6.6%
9 408
6.5%
Other values (2) 350
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6314
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 986
15.6%
3 782
12.4%
5 702
11.1%
0 668
10.6%
8 554
8.8%
6 527
8.3%
2 470
7.4%
1 449
7.1%
4 418
6.6%
9 408
6.5%
Other values (2) 350
 
5.5%

소재지면적
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.5 KiB
0
1124 
<NA>
966 

Length

Max length4
Median length1
Mean length2.3866029
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 1124
53.8%
<NA> 966
46.2%

Length

2023-10-21T06:08:56.994982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:08:57.787558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1124
53.8%
na 966
46.2%

소재지우편번호
Text

MISSING 

Distinct164
Distinct (%)9.1%
Missing296
Missing (%)14.2%
Memory size16.5 KiB
2023-10-21T06:08:58.643795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length6.9710145
Min length5

Characters and Unicode

Total characters12506
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

Unique55 ?
Unique (%)3.1%

Sample

1st row701-290
2nd row701-460
3rd row701-490
4th row701-520
5th row701-520
ValueCountFrequency (%)
716-821 93
 
5.2%
716-822 91
 
5.1%
711-893 79
 
4.4%
716-861 70
 
3.9%
716-803 64
 
3.6%
716-862 62
 
3.5%
702-130 59
 
3.3%
711-823 58
 
3.2%
716-802 53
 
3.0%
711-844 47
 
2.6%
Other values (154) 1118
62.3%
2023-10-21T06:09:00.831654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 2754
22.0%
7 1859
14.9%
- 1768
14.1%
8 1434
11.5%
0 1202
9.6%
6 1144
9.1%
2 1018
 
8.1%
3 625
 
5.0%
4 355
 
2.8%
9 218
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10738
85.9%
Dash Punctuation 1768
 
14.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2754
25.6%
7 1859
17.3%
8 1434
13.4%
0 1202
11.2%
6 1144
10.7%
2 1018
 
9.5%
3 625
 
5.8%
4 355
 
3.3%
9 218
 
2.0%
5 129
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 1768
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12506
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 2754
22.0%
7 1859
14.9%
- 1768
14.1%
8 1434
11.5%
0 1202
9.6%
6 1144
9.1%
2 1018
 
8.1%
3 625
 
5.0%
4 355
 
2.8%
9 218
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12506
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 2754
22.0%
7 1859
14.9%
- 1768
14.1%
8 1434
11.5%
0 1202
9.6%
6 1144
9.1%
2 1018
 
8.1%
3 625
 
5.0%
4 355
 
2.8%
9 218
 
1.7%

소재지전체주소
Text

MISSING 

Distinct849
Distinct (%)42.7%
Missing103
Missing (%)4.9%
Memory size16.5 KiB
2023-10-21T06:09:01.917436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length52
Mean length22.637645
Min length13

Characters and Unicode

Total characters44981
Distinct characters163
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique471 ?
Unique (%)23.7%

Sample

1st row대구광역시 동구 각산동 ****번지
2nd row대구광역시 동구 미대동 **번지
3rd row대구광역시 동구 신용동 ***번지
4th row대구광역시 동구 송정동 ***-*번지
5th row대구광역시 동구 송정동 ***번지
ValueCountFrequency (%)
대구광역시 1987
20.7%
1299
13.5%
군위군 838
 
8.7%
번지 733
 
7.6%
달성군 642
 
6.7%
동구 272
 
2.8%
효령면 253
 
2.6%
북구 206
 
2.1%
군위읍 186
 
1.9%
구지면 151
 
1.6%
Other values (245) 3033
31.6%
2023-10-21T06:09:05.106391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9600
21.3%
* 7074
15.7%
구 2665
 
5.9%
군 2540
 
5.6%
대 2067
 
4.6%
광 2017
 
4.5%
시 2003
 
4.5%
역 1987
 
4.4%
리 1539
 
3.4%
위 1045
 
2.3%
Other values (153) 12444
27.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27384
60.9%
Space Separator 9600
 
21.3%
Other Punctuation 7120
 
15.8%
Dash Punctuation 837
 
1.9%
Open Punctuation 20
 
< 0.1%
Close Punctuation 20
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 2665
 
9.7%
군 2540
 
9.3%
대 2067
 
7.5%
광 2017
 
7.4%
시 2003
 
7.3%
역 1987
 
7.3%
리 1539
 
5.6%
위 1045
 
3.8%
면 1043
 
3.8%
지 982
 
3.6%
Other values (146) 9496
34.7%
Other Punctuation
ValueCountFrequency (%)
* 7074
99.4%
, 44
 
0.6%
. 2
 
< 0.1%
Space Separator
ValueCountFrequency (%)
9600
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 837
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27384
60.9%
Common 17597
39.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 2665
 
9.7%
군 2540
 
9.3%
대 2067
 
7.5%
광 2017
 
7.4%
시 2003
 
7.3%
역 1987
 
7.3%
리 1539
 
5.6%
위 1045
 
3.8%
면 1043
 
3.8%
지 982
 
3.6%
Other values (146) 9496
34.7%
Common
ValueCountFrequency (%)
9600
54.6%
* 7074
40.2%
- 837
 
4.8%
, 44
 
0.3%
( 20
 
0.1%
) 20
 
0.1%
. 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27384
60.9%
ASCII 17597
39.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9600
54.6%
* 7074
40.2%
- 837
 
4.8%
, 44
 
0.3%
( 20
 
0.1%
) 20
 
0.1%
. 2
 
< 0.1%
Hangul
ValueCountFrequency (%)
구 2665
 
9.7%
군 2540
 
9.3%
대 2067
 
7.5%
광 2017
 
7.4%
시 2003
 
7.3%
역 1987
 
7.3%
리 1539
 
5.6%
위 1045
 
3.8%
면 1043
 
3.8%
지 982
 
3.6%
Other values (146) 9496
34.7%

도로명전체주소
Text

MISSING 

Distinct795
Distinct (%)49.8%
Missing495
Missing (%)23.7%
Memory size16.5 KiB
2023-10-21T06:09:06.480610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length39
Mean length23.319749
Min length19

Characters and Unicode

Total characters37195
Distinct characters195
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique455 ?
Unique (%)28.5%

Sample

1st row대구광역시 동구 서촌로 *** (송정동)
2nd row대구광역시 동구 팔공산로**길 ** (송정동)
3rd row대구광역시 동구 용진길 **-** (신용동)
4th row대구광역시 동구 용진길 ***-** (신용동)
5th row대구광역시 동구 팔공로***길 ** (백안동)
ValueCountFrequency (%)
대구광역시 1595
19.9%
1594
19.9%
군위군 798
 
10.0%
달성군 512
 
6.4%
효령면 220
 
2.8%
군위읍 157
 
2.0%
동구 155
 
1.9%
의흥면 141
 
1.8%
북구 113
 
1.4%
구지면 102
 
1.3%
Other values (413) 2609
32.6%
2023-10-21T06:09:08.904334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6402
17.2%
* 6303
16.9%
군 2324
 
6.2%
구 2064
 
5.5%
대 1692
 
4.5%
광 1616
 
4.3%
시 1599
 
4.3%
역 1596
 
4.3%
길 1217
 
3.3%
위 977
 
2.6%
Other values (185) 11405
30.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23060
62.0%
Space Separator 6402
 
17.2%
Other Punctuation 6322
 
17.0%
Dash Punctuation 810
 
2.2%
Open Punctuation 301
 
0.8%
Close Punctuation 300
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
군 2324
 
10.1%
구 2064
 
9.0%
대 1692
 
7.3%
광 1616
 
7.0%
시 1599
 
6.9%
역 1596
 
6.9%
길 1217
 
5.3%
위 977
 
4.2%
면 933
 
4.0%
로 706
 
3.1%
Other values (178) 8336
36.1%
Other Punctuation
ValueCountFrequency (%)
* 6303
99.7%
, 18
 
0.3%
. 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
6402
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 810
100.0%
Open Punctuation
ValueCountFrequency (%)
( 301
100.0%
Close Punctuation
ValueCountFrequency (%)
) 300
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23060
62.0%
Common 14135
38.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
군 2324
 
10.1%
구 2064
 
9.0%
대 1692
 
7.3%
광 1616
 
7.0%
시 1599
 
6.9%
역 1596
 
6.9%
길 1217
 
5.3%
위 977
 
4.2%
면 933
 
4.0%
로 706
 
3.1%
Other values (178) 8336
36.1%
Common
ValueCountFrequency (%)
6402
45.3%
* 6303
44.6%
- 810
 
5.7%
( 301
 
2.1%
) 300
 
2.1%
, 18
 
0.1%
. 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23060
62.0%
ASCII 14135
38.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6402
45.3%
* 6303
44.6%
- 810
 
5.7%
( 301
 
2.1%
) 300
 
2.1%
, 18
 
0.1%
. 1
 
< 0.1%
Hangul
ValueCountFrequency (%)
군 2324
 
10.1%
구 2064
 
9.0%
대 1692
 
7.3%
광 1616
 
7.0%
시 1599
 
6.9%
역 1596
 
6.9%
길 1217
 
5.3%
위 977
 
4.2%
면 933
 
4.0%
로 706
 
3.1%
Other values (178) 8336
36.1%

도로명우편번호
Text

MISSING 

Distinct144
Distinct (%)12.6%
Missing950
Missing (%)45.5%
Memory size16.5 KiB
2023-10-21T06:09:10.035081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0087719
Min length5

Characters and Unicode

Total characters5710
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

Unique42 ?
Unique (%)3.7%

Sample

1st row41000
2nd row41000
3rd row41006
4th row41000
5th row41001
ValueCountFrequency (%)
43006 62
 
5.4%
42977 61
 
5.4%
42992 39
 
3.4%
43152 38
 
3.3%
42993 31
 
2.7%
43106 30
 
2.6%
43131 29
 
2.5%
42939 26
 
2.3%
42975 22
 
1.9%
43007 22
 
1.9%
Other values (134) 780
68.4%
2023-10-21T06:09:12.287977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 1351
23.7%
3 970
17.0%
1 865
15.1%
0 570
10.0%
2 566
9.9%
9 511
 
8.9%
7 257
 
4.5%
6 230
 
4.0%
5 230
 
4.0%
8 155
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5705
99.9%
Dash Punctuation 5
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 1351
23.7%
3 970
17.0%
1 865
15.2%
0 570
10.0%
2 566
9.9%
9 511
 
9.0%
7 257
 
4.5%
6 230
 
4.0%
5 230
 
4.0%
8 155
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5710
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 1351
23.7%
3 970
17.0%
1 865
15.1%
0 570
10.0%
2 566
9.9%
9 511
 
8.9%
7 257
 
4.5%
6 230
 
4.0%
5 230
 
4.0%
8 155
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5710
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 1351
23.7%
3 970
17.0%
1 865
15.1%
0 570
10.0%
2 566
9.9%
9 511
 
8.9%
7 257
 
4.5%
6 230
 
4.0%
5 230
 
4.0%
8 155
 
2.7%

사업장명
Text

Distinct1759
Distinct (%)84.2%
Missing0
Missing (%)0.0%
Memory size16.5 KiB
2023-10-21T06:09:13.533104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length4
Mean length4.092823
Min length1

Characters and Unicode

Total characters8554
Distinct characters380
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

Unique1544 ?
Unique (%)73.9%

Sample

1st row채천기
2nd row채창균
3rd row신용농장
4th row한삼남
5th row이일우
ValueCountFrequency (%)
66
 
3.0%
농가 34
 
1.6%
농장 27
 
1.2%
대성농장 11
 
0.5%
행복농장 5
 
0.2%
원산농장 5
 
0.2%
주식회사 4
 
0.2%
선곡농장 3
 
0.1%
동진농장 3
 
0.1%
영광농장 3
 
0.1%
Other values (1758) 2007
92.6%
2023-10-21T06:09:15.306488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 1607
 
18.8%
농 1290
 
15.1%
목 474
 
5.5%
가 145
 
1.7%
이 127
 
1.5%
산 125
 
1.5%
성 122
 
1.4%
영 116
 
1.4%
정 104
 
1.2%
원 104
 
1.2%
Other values (370) 4340
50.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8337
97.5%
Space Separator 78
 
0.9%
Dash Punctuation 53
 
0.6%
Decimal Number 44
 
0.5%
Uppercase Letter 21
 
0.2%
Modifier Symbol 11
 
0.1%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%
Other Punctuation 3
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 1607
 
19.3%
농 1290
 
15.5%
목 474
 
5.7%
가 145
 
1.7%
이 127
 
1.5%
산 125
 
1.5%
성 122
 
1.5%
영 116
 
1.4%
정 104
 
1.2%
원 104
 
1.2%
Other values (344) 4123
49.5%
Uppercase Letter
ValueCountFrequency (%)
J 4
19.0%
M 3
14.3%
B 3
14.3%
L 2
9.5%
K 2
9.5%
N 2
9.5%
E 2
9.5%
O 1
 
4.8%
S 1
 
4.8%
A 1
 
4.8%
Decimal Number
ValueCountFrequency (%)
2 28
63.6%
1 4
 
9.1%
3 4
 
9.1%
7 2
 
4.5%
0 2
 
4.5%
9 2
 
4.5%
4 1
 
2.3%
5 1
 
2.3%
Other Punctuation
ValueCountFrequency (%)
' 2
66.7%
. 1
33.3%
Space Separator
ValueCountFrequency (%)
78
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 53
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8337
97.5%
Common 195
 
2.3%
Latin 22
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 1607
 
19.3%
농 1290
 
15.5%
목 474
 
5.7%
가 145
 
1.7%
이 127
 
1.5%
산 125
 
1.5%
성 122
 
1.5%
영 116
 
1.4%
정 104
 
1.2%
원 104
 
1.2%
Other values (344) 4123
49.5%
Common
ValueCountFrequency (%)
78
40.0%
- 53
27.2%
2 28
 
14.4%
` 11
 
5.6%
1 4
 
2.1%
3 4
 
2.1%
( 3
 
1.5%
) 3
 
1.5%
7 2
 
1.0%
' 2
 
1.0%
Other values (5) 7
 
3.6%
Latin
ValueCountFrequency (%)
J 4
18.2%
M 3
13.6%
B 3
13.6%
L 2
9.1%
K 2
9.1%
N 2
9.1%
E 2
9.1%
Ⅱ 1
 
4.5%
O 1
 
4.5%
S 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8337
97.5%
ASCII 216
 
2.5%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 1607
 
19.3%
농 1290
 
15.5%
목 474
 
5.7%
가 145
 
1.7%
이 127
 
1.5%
산 125
 
1.5%
성 122
 
1.5%
영 116
 
1.4%
정 104
 
1.2%
원 104
 
1.2%
Other values (344) 4123
49.5%
ASCII
ValueCountFrequency (%)
78
36.1%
- 53
24.5%
2 28
 
13.0%
` 11
 
5.1%
1 4
 
1.9%
3 4
 
1.9%
J 4
 
1.9%
( 3
 
1.4%
M 3
 
1.4%
B 3
 
1.4%
Other values (15) 25
 
11.6%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

최종수정시점
Date

UNIQUE 

Distinct2090
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size16.5 KiB
Minimum2005-10-25 17:30:16
Maximum2023-09-22 15:43:45
2023-10-21T06:09:16.033374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T06:09:16.923531image/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 size16.5 KiB
I
1560 
U
530 

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 1560
74.6%
U 530
 
25.4%

Length

2023-10-21T06:09:17.566043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:09:17.992181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1560
74.6%
u 530
 
25.4%

데이터갱신일자
Date

Distinct294
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Memory size16.5 KiB
Minimum2018-08-31 23:59:59
Maximum2023-09-24 02:40:00
2023-10-21T06:09:18.688649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T06:09:19.389229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2090
Missing (%)100.0%
Memory size18.5 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1729
Distinct (%)91.8%
Missing207
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean342220.56
Minimum322493.09
Maximum365291.34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.5 KiB
2023-10-21T06:09:20.163474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum322493.09
5-th percentile326543.2
Q1333939.48
median343111.81
Q3350112.19
95-th percentile357067.58
Maximum365291.34
Range42798.246
Interquartile range (IQR)16172.707

Descriptive statistics

Standard deviation9728.471
Coefficient of variation (CV)0.028427489
Kurtosis-0.98732957
Mean342220.56
Median Absolute Deviation (MAD)8042.3652
Skewness-0.14291517
Sum6.4440131 × 108
Variance94643148
MonotonicityNot monotonic
2023-10-21T06:09:21.103505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
346530.794408655 4
 
0.2%
335342.514729383 4
 
0.2%
345094.161079098 3
 
0.1%
330234.256533956 3
 
0.1%
341135.249969644 3
 
0.1%
329262.7041845 3
 
0.1%
350218.393794439 3
 
0.1%
346869.805788598 3
 
0.1%
329343.976261653 3
 
0.1%
343247.70389948 3
 
0.1%
Other values (1719) 1851
88.6%
(Missing) 207
 
9.9%
ValueCountFrequency (%)
322493.090650013 1
< 0.1%
322525.682433515 1
< 0.1%
322546.445940513 1
< 0.1%
322611.447443293 1
< 0.1%
322622.458019249 1
< 0.1%
322628.444130469 1
< 0.1%
322647.185718964 1
< 0.1%
322684.370853993 1
< 0.1%
322694.469621171 1
< 0.1%
322704.405409069 1
< 0.1%
ValueCountFrequency (%)
365291.337124321 1
< 0.1%
365031.992837481 1
< 0.1%
364212.974673564 1
< 0.1%
364195.185461 1
< 0.1%
364187.491981182 1
< 0.1%
364140.06476345 1
< 0.1%
363814.536367093 1
< 0.1%
363656.290593851 1
< 0.1%
363616.664941763 1
< 0.1%
362383.706544868 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1729
Distinct (%)91.8%
Missing207
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean277393.04
Minimum235206.05
Maximum314392.18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.5 KiB
2023-10-21T06:09:21.890603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum235206.05
5-th percentile241043.96
Q1254953.91
median275236.74
Q3297914.82
95-th percentile308049.79
Maximum314392.18
Range79186.133
Interquartile range (IQR)42960.911

Descriptive statistics

Standard deviation22548.794
Coefficient of variation (CV)0.081288245
Kurtosis-1.3080225
Mean277393.04
Median Absolute Deviation (MAD)22002.632
Skewness-0.23310552
Sum5.223311 × 108
Variance5.0844809 × 108
MonotonicityNot monotonic
2023-10-21T06:09:22.830612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
268388.215525591 4
 
0.2%
255317.445463309 4
 
0.2%
275637.93818336 3
 
0.1%
271018.00878994 3
 
0.1%
292591.368726375 3
 
0.1%
236983.850226985 3
 
0.1%
297153.449464846 3
 
0.1%
269884.956704254 3
 
0.1%
244853.476395573 3
 
0.1%
294920.384844506 3
 
0.1%
Other values (1719) 1851
88.6%
(Missing) 207
 
9.9%
ValueCountFrequency (%)
235206.048366622 1
 
< 0.1%
236183.100209759 1
 
< 0.1%
236309.723116218 2
0.1%
236887.421239506 1
 
< 0.1%
236903.172651174 1
 
< 0.1%
236933.823320445 1
 
< 0.1%
236983.850226985 3
0.1%
236998.355555954 1
 
< 0.1%
237074.627343036 1
 
< 0.1%
237270.917087008 1
 
< 0.1%
ValueCountFrequency (%)
314392.181822007 1
< 0.1%
312760.325471566 1
< 0.1%
312567.173583791 1
< 0.1%
312265.600820882 1
< 0.1%
312213.805580045 1
< 0.1%
312018.113661678 1
< 0.1%
311233.894834493 1
< 0.1%
311107.749225468 2
0.1%
311034.622937171 2
0.1%
310602.391319139 1
< 0.1%

축산업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size16.5 KiB
가축사육업
2090 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
가축사육업 2090
100.0%

Length

2023-10-21T06:09:23.890795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:09:24.469676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가축사육업 2090
100.0%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2090
Missing (%)100.0%
Memory size18.5 KiB

축산일련번호
Real number (ℝ)

Distinct943
Distinct (%)45.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean341.2445
Minimum1
Maximum946
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.5 KiB
2023-10-21T06:09:24.930204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile23
Q1125
median273
Q3534.75
95-th percentile838.55
Maximum946
Range945
Interquartile range (IQR)409.75

Descriptive statistics

Standard deviation256.1019
Coefficient of variation (CV)0.75049387
Kurtosis-0.72375494
Mean341.2445
Median Absolute Deviation (MAD)186
Skewness0.60053407
Sum713201
Variance65588.185
MonotonicityNot monotonic
2023-10-21T06:09:26.025435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22 5
 
0.2%
33 5
 
0.2%
11 5
 
0.2%
24 5
 
0.2%
6 5
 
0.2%
14 5
 
0.2%
5 5
 
0.2%
15 5
 
0.2%
16 5
 
0.2%
17 5
 
0.2%
Other values (933) 2040
97.6%
ValueCountFrequency (%)
1 1
 
< 0.1%
2 4
0.2%
3 5
0.2%
4 5
0.2%
5 5
0.2%
6 5
0.2%
7 5
0.2%
8 5
0.2%
9 4
0.2%
10 5
0.2%
ValueCountFrequency (%)
946 1
< 0.1%
945 1
< 0.1%
944 1
< 0.1%
943 1
< 0.1%
942 1
< 0.1%
940 1
< 0.1%
939 1
< 0.1%
938 1
< 0.1%
937 1
< 0.1%
936 1
< 0.1%

권리주체일련번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.5 KiB
000
2076 
L00
 
14

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 2076
99.3%
L00 14
 
0.7%

Length

2023-10-21T06:09:26.727134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:09:27.312941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 2076
99.3%
l00 14
 
0.7%

총직원수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.5 KiB
0
1265 
<NA>
825 

Length

Max length4
Median length1
Mean length2.1842105
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 (%)
0 1265
60.5%
<NA> 825
39.5%

Length

2023-10-21T06:09:27.939216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:09:28.445927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1265
60.5%
na 825
39.5%

주사육업종
Categorical

IMBALANCE 

Distinct13
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size16.5 KiB
한우
1691 
돼지
 
146
육계
 
70
젖소
 
61
종계/산란계
 
36
Other values (8)
 
86

Length

Max length6
Median length2
Mean length2.0722488
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row돼지
2nd row한우
3rd row한우
4th row한우
5th row한우

Common Values

ValueCountFrequency (%)
한우 1691
80.9%
돼지 146
 
7.0%
육계 70
 
3.3%
젖소 61
 
2.9%
종계/산란계 36
 
1.7%
염소 30
 
1.4%
육우 29
 
1.4%
산양 7
 
0.3%
꿩 6
 
0.3%
사슴 5
 
0.2%
Other values (3) 9
 
0.4%

Length

2023-10-21T06:09:29.122678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한우 1691
80.9%
돼지 146
 
7.0%
육계 70
 
3.3%
젖소 61
 
2.9%
종계/산란계 36
 
1.7%
염소 30
 
1.4%
육우 29
 
1.4%
산양 7
 
0.3%
꿩 6
 
0.3%
사슴 5
 
0.2%
Other values (3) 9
 
0.4%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총직원수주사육업종
01가축사육업02_04_01_P34200003420000033200500712005-12-26<NA>4취소/말소/만료/정지/중지4말소<NA><NA><NA><NA><NA>0701-290대구광역시 동구 각산동 ****번지<NA><NA>채천기2015-01-13 17:26:52I2018-08-31 23:59:59<NA>354746.47012265561.557878가축사육업<NA>72000<NA>돼지
12가축사육업02_04_01_P34200003420000033200500722005-12-26<NA>4취소/말소/만료/정지/중지4말소<NA><NA><NA><NA><NA>0701-460대구광역시 동구 미대동 **번지<NA><NA>채창균2007-08-16 14:40:09I2018-08-31 23:59:59<NA>350655.645522274847.223076가축사육업<NA>73000<NA>한우
23가축사육업02_04_01_P34200003420000033200500732005-12-26<NA>4취소/말소/만료/정지/중지4말소<NA><NA><NA><NA>053-982-94300701-490대구광역시 동구 신용동 ***번지<NA><NA>신용농장2007-08-16 14:40:23I2018-08-31 23:59:59<NA>347942.752244277167.151527가축사육업<NA>74000<NA>한우
34가축사육업02_04_01_P34200003420000033200500752005-12-26<NA>4취소/말소/만료/정지/중지4말소<NA><NA><NA><NA>053-984-67590701-520대구광역시 동구 송정동 ***-*번지대구광역시 동구 서촌로 *** (송정동)<NA>한삼남2007-08-16 14:40:41I2018-08-31 23:59:59<NA>346178.468005277357.059822가축사육업<NA>76000<NA>한우
45가축사육업02_04_01_P34200003420000033200500762005-12-26<NA>4취소/말소/만료/정지/중지4말소<NA><NA><NA><NA>053-982-98440701-520대구광역시 동구 송정동 ***번지대구광역시 동구 팔공산로**길 ** (송정동)<NA>이일우2007-08-16 14:40:59I2018-08-31 23:59:59<NA>345965.453855278524.537092가축사육업<NA>77000<NA>한우
56가축사육업02_04_01_P34200003420000033200500772005-12-26<NA>4취소/말소/만료/정지/중지4말소<NA><NA><NA><NA>053-983-28000701-490대구광역시 동구 신용동 ***-*번지대구광역시 동구 용진길 **-** (신용동)<NA>손도영2007-08-16 14:41:17I2018-08-31 23:59:59<NA>347747.047149276561.90462가축사육업<NA>78000<NA>한우
67가축사육업02_04_01_P34200003420000033200500782005-12-26<NA>4취소/말소/만료/정지/중지4말소<NA><NA><NA><NA><NA>0701-490대구광역시 동구 신용동 ***번지대구광역시 동구 용진길 ***-** (신용동)<NA>황수동2007-08-16 14:41:32I2018-08-31 23:59:59<NA>348986.229006276760.323606가축사육업<NA>79000<NA>한우
78가축사육업02_04_01_P34200003420000033200500792005-12-26<NA>4취소/말소/만료/정지/중지4말소<NA><NA><NA><NA>053-962-23670701-320대구광역시 동구 괴전동 ***-*번지<NA><NA>김상돌2007-08-16 14:41:48I2018-08-31 23:59:59<NA><NA><NA>가축사육업<NA>80000<NA>한우
89가축사육업02_04_01_P34200003420000033200700152007-10-12<NA>4취소/말소/만료/정지/중지4말소<NA><NA><NA><NA>982-75380701-400대구광역시 동구 백안동 ***번지대구광역시 동구 팔공로***길 ** (백안동)<NA>황학순2015-07-30 11:30:39I2018-08-31 23:59:59<NA>352278.133122273203.784007가축사육업<NA>103000<NA>한우
910가축사육업02_04_01_P34200003420000033201100092011-12-08<NA>4취소/말소/만료/정지/중지4말소<NA><NA><NA><NA><NA><NA>701-520대구광역시 동구 송정동 ***번지대구광역시 동구 팔공산로**길 ** (송정동)41000이일우2016-06-28 10:31:02I2018-08-31 23:59:59<NA>345965.453855278524.537092가축사육업<NA>225000<NA>한우
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총직원수주사육업종
20802081가축사육업02_04_01_P51410005140000033201401292014-03-02<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA>716-821대구광역시 군위군 효령면 금매리 ***-*대구광역시 군위군 효령면 장군로 ****-**43134춘학농장2014-03-02 16:09:57I2023-07-01 16:42:10<NA>345442.708017292619.23075가축사육업<NA>6260000한우
20812082가축사육업02_04_01_P51410005140000033201401342014-03-02<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA>716-821대구광역시 군위군 효령면 마시리 ***대구광역시 군위군 효령면 마시길 **-**43134성화농장2014-03-02 17:23:25I2023-07-01 16:42:10<NA>345202.555546291471.746307가축사육업<NA>6310000한우
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