Overview

Dataset statistics

Number of variables33
Number of observations1146
Missing cells8398
Missing cells (%)22.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory310.1 KiB
Average record size in memory277.1 B

Variable types

Numeric6
Categorical12
DateTime7
Unsupported3
Text5

Dataset

Description23년10월_6270000_대구광역시_07_22_06_P_식육포장처리업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000101127&dataSetDetailId=DDI_0000101163&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
축산업무구분명 has constant value ""Constant
축산물가공업구분명 has constant value ""Constant
인허가취소일자 has 1146 (100.0%) missing valuesMissing
폐업일자 has 625 (54.5%) missing valuesMissing
휴업시작일자 has 1136 (99.1%) missing valuesMissing
휴업종료일자 has 1142 (99.7%) missing valuesMissing
재개업일자 has 1138 (99.3%) missing valuesMissing
소재지전화 has 641 (55.9%) missing valuesMissing
소재지우편번호 has 1146 (100.0%) missing valuesMissing
도로명전체주소 has 48 (4.2%) missing valuesMissing
도로명우편번호 has 205 (17.9%) missing valuesMissing
업태구분명 has 1146 (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
소재지우편번호 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
소재지면적 has 705 (61.5%) zerosZeros

Reproduction

Analysis started2023-11-11 14:09:23.342742
Analysis finished2023-11-11 14:09:24.315098
Duration0.97 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1146
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean573.5
Minimum1
Maximum1146
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2023-11-11T23:09:24.418825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile58.25
Q1287.25
median573.5
Q3859.75
95-th percentile1088.75
Maximum1146
Range1145
Interquartile range (IQR)572.5

Descriptive statistics

Standard deviation330.96601
Coefficient of variation (CV)0.57709854
Kurtosis-1.2
Mean573.5
Median Absolute Deviation (MAD)286.5
Skewness0
Sum657231
Variance109538.5
MonotonicityStrictly increasing
2023-11-11T23:09:24.649734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
763 1
 
0.1%
769 1
 
0.1%
768 1
 
0.1%
767 1
 
0.1%
766 1
 
0.1%
765 1
 
0.1%
764 1
 
0.1%
762 1
 
0.1%
771 1
 
0.1%
Other values (1136) 1136
99.1%
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 (%)
1146 1
0.1%
1145 1
0.1%
1144 1
0.1%
1143 1
0.1%
1142 1
0.1%
1141 1
0.1%
1140 1
0.1%
1139 1
0.1%
1138 1
0.1%
1137 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
식육포장처리업
1146 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육포장처리업 1146
100.0%

Length

2023-11-11T23:09:24.844932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-11T23:09:24.992366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육포장처리업 1146
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
07_22_06_P
1146 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row07_22_06_P
2nd row07_22_06_P
3rd row07_22_06_P
4th row07_22_06_P
5th row07_22_06_P

Common Values

ValueCountFrequency (%)
07_22_06_P 1146
100.0%

Length

2023-11-11T23:09:25.142228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-11T23:09:25.261410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_06_p 1146
100.0%

개방자치단체코드
Real number (ℝ)

Distinct9
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3462835.1
Minimum3410000
Maximum5141000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2023-11-11T23:09:25.354457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3420000
Q13430000
median3450000
Q33470000
95-th percentile3480000
Maximum5141000
Range1731000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation150692.83
Coefficient of variation (CV)0.043517185
Kurtosis118.52296
Mean3462835.1
Median Absolute Deviation (MAD)20000
Skewness10.869321
Sum3.968409 × 109
Variance2.270833 × 1010
MonotonicityIncreasing
2023-11-11T23:09:25.704649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3450000 384
33.5%
3420000 184
16.1%
3470000 165
14.4%
3480000 155
13.5%
3430000 130
 
11.3%
3460000 62
 
5.4%
3440000 44
 
3.8%
3410000 13
 
1.1%
5141000 9
 
0.8%
ValueCountFrequency (%)
3410000 13
 
1.1%
3420000 184
16.1%
3430000 130
 
11.3%
3440000 44
 
3.8%
3450000 384
33.5%
3460000 62
 
5.4%
3470000 165
14.4%
3480000 155
13.5%
5141000 9
 
0.8%
ValueCountFrequency (%)
5141000 9
 
0.8%
3480000 155
13.5%
3470000 165
14.4%
3460000 62
 
5.4%
3450000 384
33.5%
3440000 44
 
3.8%
3430000 130
 
11.3%
3420000 184
16.1%
3410000 13
 
1.1%

관리번호
Real number (ℝ)

UNIQUE 

Distinct1146
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4628282 × 1017
Minimum3.41 × 1017
Maximum5.1410001 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2023-11-11T23:09:25.922044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.41 × 1017
5-th percentile3.4200001 × 1017
Q13.4300001 × 1017
median3.4500001 × 1017
Q33.4700001 × 1017
95-th percentile3.4800001 × 1017
Maximum5.1410001 × 1017
Range1.7310001 × 1017
Interquartile range (IQR)4 × 1015

Descriptive statistics

Standard deviation1.5061502 × 1016
Coefficient of variation (CV)0.043494801
Kurtosis118.51851
Mean3.4628282 × 1017
Median Absolute Deviation (MAD)2 × 1015
Skewness10.869017
Sum-8.9882597 × 1018
Variance2.2684886 × 1032
MonotonicityNot monotonic
2023-11-11T23:09:26.062337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341000010420180001 1
 
0.1%
346000010420110004 1
 
0.1%
346000010420150001 1
 
0.1%
346000010420140008 1
 
0.1%
346000010420180003 1
 
0.1%
346000010420130004 1
 
0.1%
346000010420130003 1
 
0.1%
346000010420130001 1
 
0.1%
346000010420110002 1
 
0.1%
346000010420140003 1
 
0.1%
Other values (1136) 1136
99.1%
ValueCountFrequency (%)
341000000420040001 1
0.1%
341000000420090001 1
0.1%
341000010420120001 1
0.1%
341000010420140001 1
0.1%
341000010420140002 1
0.1%
341000010420160001 1
0.1%
341000010420160002 1
0.1%
341000010420160003 1
0.1%
341000010420170001 1
0.1%
341000010420170002 1
0.1%
ValueCountFrequency (%)
514100010420230001 1
0.1%
514000010420220001 1
0.1%
514000010420200002 1
0.1%
514000010420200001 1
0.1%
514000000420090001 1
0.1%
514000000420060001 1
0.1%
514000000420040003 1
0.1%
514000000420040002 1
0.1%
514000000420040001 1
0.1%
348000010420230015 1
0.1%

인허가일자
Date

Distinct979
Distinct (%)85.4%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
Minimum1987-02-13 00:00:00
Maximum2023-10-30 00:00:00
2023-11-11T23:09:26.201154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-11T23:09:26.341280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1146
Missing (%)100.0%
Memory size10.2 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
1
616 
3
491 
4
 
33
2
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row3
5th row3

Common Values

ValueCountFrequency (%)
1 616
53.8%
3 491
42.8%
4 33
 
2.9%
2 6
 
0.5%

Length

2023-11-11T23:09:26.470639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-11T23:09:26.598532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 616
53.8%
3 491
42.8%
4 33
 
2.9%
2 6
 
0.5%

영업상태명
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
영업/정상
616 
폐업
491 
취소/말소/만료/정지/중지
 
33
휴업
 
6

Length

Max length14
Median length5
Mean length3.9581152
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
2nd row영업/정상
3rd row영업/정상
4th row폐업
5th row폐업

Common Values

ValueCountFrequency (%)
영업/정상 616
53.8%
폐업 491
42.8%
취소/말소/만료/정지/중지 33
 
2.9%
휴업 6
 
0.5%

Length

2023-11-11T23:09:26.750211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-11T23:09:26.897025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 616
53.8%
폐업 491
42.8%
취소/말소/만료/정지/중지 33
 
2.9%
휴업 6
 
0.5%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
0
616 
2
491 
4
 
20
3
 
13
1
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row2
5th row2

Common Values

ValueCountFrequency (%)
0 616
53.8%
2 491
42.8%
4 20
 
1.7%
3 13
 
1.1%
1 6
 
0.5%

Length

2023-11-11T23:09:27.016511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-11T23:09:27.122914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 616
53.8%
2 491
42.8%
4 20
 
1.7%
3 13
 
1.1%
1 6
 
0.5%

상세영업상태명
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
정상
616 
폐업
491 
말소
 
20
행정처분
 
13
휴업
 
6

Length

Max length4
Median length2
Mean length2.0226876
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 616
53.8%
폐업 491
42.8%
말소 20
 
1.7%
행정처분 13
 
1.1%
휴업 6
 
0.5%

Length

2023-11-11T23:09:27.254124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-11T23:09:27.449282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 616
53.8%
폐업 491
42.8%
말소 20
 
1.7%
행정처분 13
 
1.1%
휴업 6
 
0.5%

폐업일자
Date

MISSING 

Distinct455
Distinct (%)87.3%
Missing625
Missing (%)54.5%
Memory size9.1 KiB
Minimum2004-01-31 00:00:00
Maximum2023-10-17 00:00:00
2023-11-11T23:09:27.612918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-11T23:09:27.790265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct10
Distinct (%)100.0%
Missing1136
Missing (%)99.1%
Memory size9.1 KiB
Minimum2008-05-02 00:00:00
Maximum2023-10-24 00:00:00
2023-11-11T23:09:27.943363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-11T23:09:28.084786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

휴업종료일자
Date

MISSING 

Distinct4
Distinct (%)100.0%
Missing1142
Missing (%)99.7%
Memory size9.1 KiB
Minimum2017-07-06 00:00:00
Maximum2025-10-23 00:00:00
2023-11-11T23:09:28.186568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-11T23:09:28.293948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

재개업일자
Date

MISSING 

Distinct8
Distinct (%)100.0%
Missing1138
Missing (%)99.3%
Memory size9.1 KiB
Minimum2004-12-30 00:00:00
Maximum2020-08-27 00:00:00
2023-11-11T23:09:28.401057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-11T23:09:28.525343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

소재지전화
Text

MISSING 

Distinct478
Distinct (%)94.7%
Missing641
Missing (%)55.9%
Memory size9.1 KiB
2023-11-11T23:09:28.842408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length17
Mean length9.9405941
Min length7

Characters and Unicode

Total characters5020
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique454 ?
Unique (%)89.9%

Sample

1st row252-2890
2nd row261-5500
3rd row427-8885
4th row527-7855
5th row421-9245
ValueCountFrequency (%)
053-381-3834 4
 
0.8%
565-9998 3
 
0.6%
939-7765 2
 
0.4%
053-593-5607 2
 
0.4%
252-2890 2
 
0.4%
053-959-7883 2
 
0.4%
0535663392 2
 
0.4%
621-7345 2
 
0.4%
560-9999 2
 
0.4%
554-5544 2
 
0.4%
Other values (468) 482
95.4%
2023-11-11T23:09:29.295013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 752
15.0%
- 690
13.7%
3 657
13.1%
0 538
10.7%
6 410
8.2%
2 391
7.8%
8 347
6.9%
1 322
6.4%
9 322
6.4%
7 297
 
5.9%
Other values (3) 294
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4327
86.2%
Dash Punctuation 690
 
13.7%
Other Punctuation 2
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 752
17.4%
3 657
15.2%
0 538
12.4%
6 410
9.5%
2 391
9.0%
8 347
8.0%
1 322
7.4%
9 322
7.4%
7 297
 
6.9%
4 291
 
6.7%
Dash Punctuation
ValueCountFrequency (%)
- 690
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5020
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 752
15.0%
- 690
13.7%
3 657
13.1%
0 538
10.7%
6 410
8.2%
2 391
7.8%
8 347
6.9%
1 322
6.4%
9 322
6.4%
7 297
 
5.9%
Other values (3) 294
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5020
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 752
15.0%
- 690
13.7%
3 657
13.1%
0 538
10.7%
6 410
8.2%
2 391
7.8%
8 347
6.9%
1 322
6.4%
9 322
6.4%
7 297
 
5.9%
Other values (3) 294
 
5.9%

소재지면적
Real number (ℝ)

ZEROS 

Distinct396
Distinct (%)34.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean378.27982
Minimum0
Maximum50782
Zeros705
Zeros (%)61.5%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2023-11-11T23:09:29.449062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3225
95-th percentile1149.1775
Maximum50782
Range50782
Interquartile range (IQR)225

Descriptive statistics

Standard deviation2852.5704
Coefficient of variation (CV)7.5409003
Kurtosis278.38276
Mean378.27982
Median Absolute Deviation (MAD)0
Skewness16.399179
Sum433508.67
Variance8137157.9
MonotonicityNot monotonic
2023-11-11T23:09:29.622136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 705
61.5%
50782.0 3
 
0.3%
211.0 3
 
0.3%
331.0 3
 
0.3%
708.0 3
 
0.3%
583.0 3
 
0.3%
179.5 2
 
0.2%
232.0 2
 
0.2%
418.6 2
 
0.2%
224.0 2
 
0.2%
Other values (386) 418
36.5%
ValueCountFrequency (%)
0.0 705
61.5%
21.0 1
 
0.1%
34.4 1
 
0.1%
40.3 1
 
0.1%
44.8 1
 
0.1%
54.21 1
 
0.1%
54.55 1
 
0.1%
62.12 1
 
0.1%
63.0 1
 
0.1%
67.86 1
 
0.1%
ValueCountFrequency (%)
50782.0 3
0.3%
37289.0 1
 
0.1%
6622.0 1
 
0.1%
4679.0 1
 
0.1%
4330.0 1
 
0.1%
3669.09 1
 
0.1%
3521.8 1
 
0.1%
3240.0 1
 
0.1%
3135.0 2
0.2%
3017.0 1
 
0.1%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1146
Missing (%)100.0%
Memory size10.2 KiB

소재지전체주소
Text

Distinct1041
Distinct (%)91.1%
Missing3
Missing (%)0.3%
Memory size9.1 KiB
2023-11-11T23:09:29.968111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length37
Mean length21.543307
Min length12

Characters and Unicode

Total characters24624
Distinct characters187
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique952 ?
Unique (%)83.3%

Sample

1st row대구광역시 중구 동인동3가 182번지
2nd row대구광역시 중구 동인동3가 261-5
3rd row대구광역시 중구 동인동3가 394-1
4th row대구광역시 중구 남성로 30 1층
5th row대구광역시 중구 달성동 284-37번지
ValueCountFrequency (%)
대구광역시 1143
23.4%
북구 383
 
7.9%
동구 184
 
3.8%
달서구 164
 
3.4%
달성군 155
 
3.2%
서구 129
 
2.6%
수성구 62
 
1.3%
남구 44
 
0.9%
옥포읍 36
 
0.7%
1층 34
 
0.7%
Other values (1219) 2543
52.1%
2023-11-11T23:09:30.520859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4859
19.7%
구 2157
 
8.8%
동 1229
 
5.0%
대 1193
 
4.8%
1 1179
 
4.8%
시 1147
 
4.7%
광 1143
 
4.6%
역 1143
 
4.6%
- 899
 
3.7%
2 631
 
2.6%
Other values (177) 9044
36.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13759
55.9%
Decimal Number 5064
 
20.6%
Space Separator 4859
 
19.7%
Dash Punctuation 899
 
3.7%
Uppercase Letter 16
 
0.1%
Other Punctuation 11
 
< 0.1%
Open Punctuation 8
 
< 0.1%
Close Punctuation 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 2157
15.7%
동 1229
 
8.9%
대 1193
 
8.7%
시 1147
 
8.3%
광 1143
 
8.3%
역 1143
 
8.3%
지 625
 
4.5%
번 593
 
4.3%
북 383
 
2.8%
달 350
 
2.5%
Other values (159) 3796
27.6%
Decimal Number
ValueCountFrequency (%)
1 1179
23.3%
2 631
12.5%
3 504
10.0%
4 422
 
8.3%
0 418
 
8.3%
7 413
 
8.2%
5 395
 
7.8%
6 393
 
7.8%
8 370
 
7.3%
9 339
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
B 8
50.0%
A 5
31.2%
C 3
 
18.8%
Space Separator
ValueCountFrequency (%)
4859
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 899
100.0%
Other Punctuation
ValueCountFrequency (%)
, 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13759
55.9%
Common 10849
44.1%
Latin 16
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 2157
15.7%
동 1229
 
8.9%
대 1193
 
8.7%
시 1147
 
8.3%
광 1143
 
8.3%
역 1143
 
8.3%
지 625
 
4.5%
번 593
 
4.3%
북 383
 
2.8%
달 350
 
2.5%
Other values (159) 3796
27.6%
Common
ValueCountFrequency (%)
4859
44.8%
1 1179
 
10.9%
- 899
 
8.3%
2 631
 
5.8%
3 504
 
4.6%
4 422
 
3.9%
0 418
 
3.9%
7 413
 
3.8%
5 395
 
3.6%
6 393
 
3.6%
Other values (5) 736
 
6.8%
Latin
ValueCountFrequency (%)
B 8
50.0%
A 5
31.2%
C 3
 
18.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13759
55.9%
ASCII 10865
44.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4859
44.7%
1 1179
 
10.9%
- 899
 
8.3%
2 631
 
5.8%
3 504
 
4.6%
4 422
 
3.9%
0 418
 
3.8%
7 413
 
3.8%
5 395
 
3.6%
6 393
 
3.6%
Other values (8) 752
 
6.9%
Hangul
ValueCountFrequency (%)
구 2157
15.7%
동 1229
 
8.9%
대 1193
 
8.7%
시 1147
 
8.3%
광 1143
 
8.3%
역 1143
 
8.3%
지 625
 
4.5%
번 593
 
4.3%
북 383
 
2.8%
달 350
 
2.5%
Other values (159) 3796
27.6%

도로명전체주소
Text

MISSING 

Distinct986
Distinct (%)89.8%
Missing48
Missing (%)4.2%
Memory size9.1 KiB
2023-11-11T23:09:30.962372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length46
Mean length25.407104
Min length19

Characters and Unicode

Total characters27897
Distinct characters246
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique900 ?
Unique (%)82.0%

Sample

1st row대구광역시 중구 국채보상로143길 37-2 (동인동3가)
2nd row대구광역시 중구 동덕로38길 39 (동인동3가)
3rd row대구광역시 중구 태평로51길 75 (동인동3가)
4th row대구광역시 중구 남성로 7-1, 1층 (남성로)
5th row대구광역시 중구 달성공원로 8 (대신동)
ValueCountFrequency (%)
대구광역시 1098
 
19.3%
북구 381
 
6.7%
동구 175
 
3.1%
달성군 154
 
2.7%
달서구 137
 
2.4%
서구 130
 
2.3%
1층 100
 
1.8%
수성구 62
 
1.1%
남구 40
 
0.7%
옥포읍 36
 
0.6%
Other values (1317) 3384
59.4%
2023-11-11T23:09:31.553259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4599
 
16.5%
구 2139
 
7.7%
동 1299
 
4.7%
대 1235
 
4.4%
1 1145
 
4.1%
시 1127
 
4.0%
역 1107
 
4.0%
광 1098
 
3.9%
로 976
 
3.5%
( 943
 
3.4%
Other values (236) 12229
43.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16347
58.6%
Space Separator 4599
 
16.5%
Decimal Number 4403
 
15.8%
Open Punctuation 943
 
3.4%
Close Punctuation 943
 
3.4%
Dash Punctuation 402
 
1.4%
Other Punctuation 236
 
0.8%
Uppercase Letter 24
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 2139
 
13.1%
동 1299
 
7.9%
대 1235
 
7.6%
시 1127
 
6.9%
역 1107
 
6.8%
광 1098
 
6.7%
로 976
 
6.0%
길 775
 
4.7%
북 460
 
2.8%
서 379
 
2.3%
Other values (217) 5752
35.2%
Decimal Number
ValueCountFrequency (%)
1 1145
26.0%
2 655
14.9%
3 499
11.3%
5 372
 
8.4%
4 367
 
8.3%
6 337
 
7.7%
7 311
 
7.1%
9 248
 
5.6%
0 244
 
5.5%
8 225
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
B 12
50.0%
A 7
29.2%
C 4
 
16.7%
D 1
 
4.2%
Space Separator
ValueCountFrequency (%)
4599
100.0%
Open Punctuation
ValueCountFrequency (%)
( 943
100.0%
Close Punctuation
ValueCountFrequency (%)
) 943
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 402
100.0%
Other Punctuation
ValueCountFrequency (%)
, 236
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16347
58.6%
Common 11526
41.3%
Latin 24
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 2139
 
13.1%
동 1299
 
7.9%
대 1235
 
7.6%
시 1127
 
6.9%
역 1107
 
6.8%
광 1098
 
6.7%
로 976
 
6.0%
길 775
 
4.7%
북 460
 
2.8%
서 379
 
2.3%
Other values (217) 5752
35.2%
Common
ValueCountFrequency (%)
4599
39.9%
1 1145
 
9.9%
( 943
 
8.2%
) 943
 
8.2%
2 655
 
5.7%
3 499
 
4.3%
- 402
 
3.5%
5 372
 
3.2%
4 367
 
3.2%
6 337
 
2.9%
Other values (5) 1264
 
11.0%
Latin
ValueCountFrequency (%)
B 12
50.0%
A 7
29.2%
C 4
 
16.7%
D 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16347
58.6%
ASCII 11550
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4599
39.8%
1 1145
 
9.9%
( 943
 
8.2%
) 943
 
8.2%
2 655
 
5.7%
3 499
 
4.3%
- 402
 
3.5%
5 372
 
3.2%
4 367
 
3.2%
6 337
 
2.9%
Other values (9) 1288
 
11.2%
Hangul
ValueCountFrequency (%)
구 2139
 
13.1%
동 1299
 
7.9%
대 1235
 
7.6%
시 1127
 
6.9%
역 1107
 
6.8%
광 1098
 
6.7%
로 976
 
6.0%
길 775
 
4.7%
북 460
 
2.8%
서 379
 
2.3%
Other values (217) 5752
35.2%

도로명우편번호
Text

MISSING 

Distinct392
Distinct (%)41.7%
Missing205
Missing (%)17.9%
Memory size9.1 KiB
2023-11-11T23:09:32.016912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0042508
Min length5

Characters and Unicode

Total characters4709
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

Unique206 ?
Unique (%)21.9%

Sample

1st row41908
2nd row41905
3rd row41904
4th row41934
5th row41925
ValueCountFrequency (%)
41582 17
 
1.8%
41755 17
 
1.8%
41490 16
 
1.7%
41139 14
 
1.5%
41472 13
 
1.4%
41418 13
 
1.4%
41412 13
 
1.4%
41056 13
 
1.4%
41419 13
 
1.4%
42969 13
 
1.4%
Other values (382) 799
84.9%
2023-11-11T23:09:32.596220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 1320
28.0%
1 870
18.5%
2 583
12.4%
5 372
 
7.9%
7 348
 
7.4%
0 320
 
6.8%
9 313
 
6.6%
8 232
 
4.9%
6 185
 
3.9%
3 164
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4707
> 99.9%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 1320
28.0%
1 870
18.5%
2 583
12.4%
5 372
 
7.9%
7 348
 
7.4%
0 320
 
6.8%
9 313
 
6.6%
8 232
 
4.9%
6 185
 
3.9%
3 164
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4709
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 1320
28.0%
1 870
18.5%
2 583
12.4%
5 372
 
7.9%
7 348
 
7.4%
0 320
 
6.8%
9 313
 
6.6%
8 232
 
4.9%
6 185
 
3.9%
3 164
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4709
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 1320
28.0%
1 870
18.5%
2 583
12.4%
5 372
 
7.9%
7 348
 
7.4%
0 320
 
6.8%
9 313
 
6.6%
8 232
 
4.9%
6 185
 
3.9%
3 164
 
3.5%

사업장명
Text

Distinct1039
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
2023-11-11T23:09:32.936143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length6.0008726
Min length2

Characters and Unicode

Total characters6877
Distinct characters420
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique939 ?
Unique (%)81.9%

Sample

1st row동인미트
2nd row조타푸드
3rd row주식회사 정인엘에프 제조공장
4th row(주)강산티앤에프
5th row(주)천마미트
ValueCountFrequency (%)
주식회사 83
 
6.1%
농업회사법인 21
 
1.5%
축산 12
 
0.9%
푸드 6
 
0.4%
한우 6
 
0.4%
축산물 4
 
0.3%
고기공장 4
 
0.3%
금미식품 4
 
0.3%
sw팜 4
 
0.3%
식품 4
 
0.3%
Other values (1084) 1215
89.1%
2023-11-11T23:09:33.442329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
산 319
 
4.6%
축 297
 
4.3%
주 295
 
4.3%
식 242
 
3.5%
드 222
 
3.2%
푸 222
 
3.2%
217
 
3.2%
) 217
 
3.2%
( 210
 
3.1%
품 151
 
2.2%
Other values (410) 4485
65.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6072
88.3%
Space Separator 217
 
3.2%
Close Punctuation 217
 
3.2%
Open Punctuation 210
 
3.1%
Uppercase Letter 110
 
1.6%
Lowercase Letter 19
 
0.3%
Other Punctuation 17
 
0.2%
Decimal Number 15
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 319
 
5.3%
축 297
 
4.9%
주 295
 
4.9%
식 242
 
4.0%
드 222
 
3.7%
푸 222
 
3.7%
품 151
 
2.5%
사 133
 
2.2%
미 130
 
2.1%
유 123
 
2.0%
Other values (370) 3938
64.9%
Uppercase Letter
ValueCountFrequency (%)
S 18
16.4%
F 16
14.5%
C 10
9.1%
D 9
8.2%
M 8
 
7.3%
B 7
 
6.4%
K 7
 
6.4%
N 5
 
4.5%
O 5
 
4.5%
H 5
 
4.5%
Other values (8) 20
18.2%
Decimal Number
ValueCountFrequency (%)
1 5
33.3%
8 2
 
13.3%
6 2
 
13.3%
9 2
 
13.3%
2 1
 
6.7%
3 1
 
6.7%
5 1
 
6.7%
4 1
 
6.7%
Lowercase Letter
ValueCountFrequency (%)
o 4
21.1%
p 3
15.8%
f 3
15.8%
c 2
10.5%
d 2
10.5%
a 2
10.5%
n 2
10.5%
y 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
& 12
70.6%
. 4
 
23.5%
＆ 1
 
5.9%
Space Separator
ValueCountFrequency (%)
217
100.0%
Close Punctuation
ValueCountFrequency (%)
) 217
100.0%
Open Punctuation
ValueCountFrequency (%)
( 210
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6072
88.3%
Common 676
 
9.8%
Latin 129
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 319
 
5.3%
축 297
 
4.9%
주 295
 
4.9%
식 242
 
4.0%
드 222
 
3.7%
푸 222
 
3.7%
품 151
 
2.5%
사 133
 
2.2%
미 130
 
2.1%
유 123
 
2.0%
Other values (370) 3938
64.9%
Latin
ValueCountFrequency (%)
S 18
14.0%
F 16
12.4%
C 10
 
7.8%
D 9
 
7.0%
M 8
 
6.2%
B 7
 
5.4%
K 7
 
5.4%
N 5
 
3.9%
O 5
 
3.9%
H 5
 
3.9%
Other values (16) 39
30.2%
Common
ValueCountFrequency (%)
217
32.1%
) 217
32.1%
( 210
31.1%
& 12
 
1.8%
1 5
 
0.7%
. 4
 
0.6%
8 2
 
0.3%
6 2
 
0.3%
9 2
 
0.3%
2 1
 
0.1%
Other values (4) 4
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6072
88.3%
ASCII 804
 
11.7%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
산 319
 
5.3%
축 297
 
4.9%
주 295
 
4.9%
식 242
 
4.0%
드 222
 
3.7%
푸 222
 
3.7%
품 151
 
2.5%
사 133
 
2.2%
미 130
 
2.1%
유 123
 
2.0%
Other values (370) 3938
64.9%
ASCII
ValueCountFrequency (%)
217
27.0%
) 217
27.0%
( 210
26.1%
S 18
 
2.2%
F 16
 
2.0%
& 12
 
1.5%
C 10
 
1.2%
D 9
 
1.1%
M 8
 
1.0%
B 7
 
0.9%
Other values (29) 80
 
10.0%
None
ValueCountFrequency (%)
＆ 1
100.0%

최종수정시점
Date

UNIQUE 

Distinct1146
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
Minimum2004-09-08 10:30:38
Maximum2023-10-30 15:47:42
2023-11-11T23:09:33.643058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-11T23:09:33.799423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
I
580 
U
566 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 580
50.6%
U 566
49.4%

Length

2023-11-11T23:09:33.986346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-11T23:09:34.114164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 580
50.6%
u 566
49.4%

데이터갱신일자
Date

Distinct524
Distinct (%)45.7%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
Minimum2018-08-31 23:59:59
Maximum2023-11-01 02:40:00
2023-11-11T23:09:34.252046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-11T23:09:34.440170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1146
Missing (%)100.0%
Memory size10.2 KiB

좌표정보(X)
Real number (ℝ)

Distinct935
Distinct (%)82.4%
Missing11
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean341907.44
Minimum326032.48
Maximum358511.63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2023-11-11T23:09:34.607826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum326032.48
5-th percentile331038.78
Q1338676.61
median341328.66
Q3345366.96
95-th percentile353191.44
Maximum358511.63
Range32479.149
Interquartile range (IQR)6690.3533

Descriptive statistics

Standard deviation6259.582
Coefficient of variation (CV)0.018307826
Kurtosis0.005835252
Mean341907.44
Median Absolute Deviation (MAD)3386.1718
Skewness0.16616174
Sum3.8806494 × 108
Variance39182366
MonotonicityNot monotonic
2023-11-11T23:09:35.183616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341469.608182779 9
 
0.8%
336398.016152883 8
 
0.7%
342085.116043852 6
 
0.5%
353125.048100805 5
 
0.4%
339153.841111852 5
 
0.4%
351889.096478709 4
 
0.3%
331664.230130549 4
 
0.3%
338448.856662651 4
 
0.3%
341316.954472188 4
 
0.3%
349273.072316982 4
 
0.3%
Other values (925) 1082
94.4%
(Missing) 11
 
1.0%
ValueCountFrequency (%)
326032.481594907 1
 
0.1%
326892.624228481 1
 
0.1%
326965.109795777 1
 
0.1%
327459.238310001 1
 
0.1%
327471.744219179 3
0.3%
327486.570257858 1
 
0.1%
327579.180385712 1
 
0.1%
327599.803378025 1
 
0.1%
327605.063942283 1
 
0.1%
327637.398011224 1
 
0.1%
ValueCountFrequency (%)
358511.630306193 1
0.1%
358479.24899535 1
0.1%
358071.04031475 1
0.1%
358028.908240955 1
0.1%
356621.56608592 1
0.1%
356490.807776448 1
0.1%
356477.570167987 1
0.1%
356446.081132416 1
0.1%
356351.744649786 1
0.1%
356351.617490545 1
0.1%

좌표정보(Y)
Real number (ℝ)

Distinct935
Distinct (%)82.4%
Missing11
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean264788.63
Minimum238824.51
Maximum308254.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2023-11-11T23:09:35.381382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum238824.51
5-th percentile255523.94
Q1261325.65
median265286.83
Q3267814.34
95-th percentile272760.62
Maximum308254.8
Range69430.294
Interquartile range (IQR)6488.6919

Descriptive statistics

Standard deviation6484.9964
Coefficient of variation (CV)0.02449122
Kurtosis10.248026
Mean264788.63
Median Absolute Deviation (MAD)3240.2728
Skewness0.90341862
Sum3.0053509 × 108
Variance42055178
MonotonicityNot monotonic
2023-11-11T23:09:35.625054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
267369.021972902 9
 
0.8%
260311.428494633 8
 
0.7%
273124.515306751 6
 
0.5%
265327.742099341 5
 
0.4%
263450.943634165 5
 
0.4%
266770.081623448 4
 
0.3%
255618.72613497 4
 
0.3%
264078.515684782 4
 
0.3%
308254.799686136 4
 
0.3%
266813.941990449 4
 
0.3%
Other values (925) 1082
94.4%
(Missing) 11
 
1.0%
ValueCountFrequency (%)
238824.505920574 1
 
0.1%
239536.919741222 1
 
0.1%
242313.644674073 1
 
0.1%
243993.782732761 3
0.3%
244607.915396304 2
0.2%
244685.095010403 1
 
0.1%
244687.256432291 1
 
0.1%
244694.366678106 1
 
0.1%
244907.241608833 1
 
0.1%
245085.736592872 1
 
0.1%
ValueCountFrequency (%)
308254.799686136 4
0.3%
305364.938430561 1
 
0.1%
304317.193519872 1
 
0.1%
292024.590733752 1
 
0.1%
289783.377054755 1
 
0.1%
289585.140247376 1
 
0.1%
278194.325633172 1
 
0.1%
277996.25912807 1
 
0.1%
277604.54111986 1
 
0.1%
275582.004217763 1
 
0.1%

축산업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
식육포장처리업
1146 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육포장처리업 1146
100.0%

Length

2023-11-11T23:09:35.871377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-11T23:09:36.005470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육포장처리업 1146
100.0%

축산물가공업구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
식육포장처리업
1146 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육포장처리업 1146
100.0%

Length

2023-11-11T23:09:36.133359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-11T23:09:36.240247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육포장처리업 1146
100.0%

축산일련번호
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
<NA>
728 
0
418 

Length

Max length4
Median length4
Mean length2.9057592
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row0
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 728
63.5%
0 418
36.5%

Length

2023-11-11T23:09:36.366960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-11T23:09:36.486876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 728
63.5%
0 418
36.5%

권리주체일련번호
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
000
814 
L00
331 
F00
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row000
2nd row000
3rd rowL00
4th rowL00
5th rowL00

Common Values

ValueCountFrequency (%)
000 814
71.0%
L00 331
28.9%
F00 1
 
0.1%

Length

2023-11-11T23:09:36.597114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-11T23:09:36.710901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 814
71.0%
l00 331
28.9%
f00 1
 
0.1%

총직원수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
<NA>
728 
0
418 

Length

Max length4
Median length4
Mean length2.9057592
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row0
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 728
63.5%
0 418
36.5%

Length

2023-11-11T23:09:36.829233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-11T23:09:36.944482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 728
63.5%
0 418
36.5%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총직원수
01식육포장처리업07_22_06_P34100003410000104201800012018-01-02<NA>1영업/정상0정상<NA><NA><NA><NA>252-2890191.43<NA>대구광역시 중구 동인동3가 182번지대구광역시 중구 국채보상로143길 37-2 (동인동3가)41908동인미트2018-06-11 11:03:44I2018-08-31 23:59:59<NA>345198.73709264578.193977식육포장처리업식육포장처리업<NA>000<NA>
12식육포장처리업07_22_06_P34100003410000104201600012016-01-12<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>대구광역시 중구 동인동3가 261-5대구광역시 중구 동덕로38길 39 (동인동3가)41905조타푸드2021-07-14 16:20:37U2021-07-16 02:40:00<NA>345034.634795264652.456073식육포장처리업식육포장처리업00000
23식육포장처리업07_22_06_P34100003410000104202000012020-11-25<NA>1영업/정상0정상<NA><NA><NA><NA>261-55000.0<NA>대구광역시 중구 동인동3가 394-1대구광역시 중구 태평로51길 75 (동인동3가)41904주식회사 정인엘에프 제조공장2021-07-14 16:24:21U2021-07-16 02:40:00<NA>345240.304392264951.792224식육포장처리업식육포장처리업0L000
34식육포장처리업07_22_06_P34100003410000104201200012012-11-29<NA>3폐업2폐업2020-06-29<NA><NA><NA>427-88850.0<NA>대구광역시 중구 남성로 30 1층대구광역시 중구 남성로 7-1, 1층 (남성로)41934(주)강산티앤에프2020-06-29 16:34:49U2020-07-01 02:40:00<NA>343360.638566264375.948443식육포장처리업식육포장처리업<NA>L00<NA>
45식육포장처리업07_22_06_P34100003410000004200400012004-11-20<NA>3폐업2폐업2006-07-26<NA><NA><NA>527-785579.4<NA>대구광역시 중구 달성동 284-37번지<NA><NA>(주)천마미트2006-07-26 15:19:57I2018-08-31 23:59:59<NA>342670.561006264952.89317식육포장처리업식육포장처리업<NA>L00<NA>
56식육포장처리업07_22_06_P34100003410000004200900012009-07-01<NA>3폐업2폐업2010-11-30<NA><NA><NA>421-924534.4<NA>대구광역시 중구 남산동 2654-6번지<NA><NA>세운축산유통2010-12-01 09:35:00I2018-08-31 23:59:59<NA>342754.484823263748.253785식육포장처리업식육포장처리업<NA>000<NA>
67식육포장처리업07_22_06_P34100003410000104201700022017-10-17<NA>4취소/말소/만료/정지/중지4말소2022-05-20<NA><NA><NA>070-4184-49320.0<NA>대구광역시 중구 대신동 178-8대구광역시 중구 달성공원로 8 (대신동)41925(주)유유축산2022-05-20 14:28:03U2022-05-22 02:40:00<NA>342589.138333264598.759595식육포장처리업식육포장처리업0L000
78식육포장처리업07_22_06_P34100003410000104201400022014-11-20<NA>3폐업2폐업2017-05-18<NA><NA><NA>421-92450.0<NA>대구광역시 중구 남산동 2654-6번지대구광역시 중구 남산로17길 18 (남산동)41975세운축산2017-05-18 17:14:17I2018-08-31 23:59:59<NA>342754.484823263748.253785식육포장처리업식육포장처리업<NA>000<NA>
89식육포장처리업07_22_06_P34100003410000104201700012017-03-16<NA>3폐업2폐업2020-06-19<NA><NA><NA><NA>0.0<NA>대구광역시 중구 달성동 10-7번지대구광역시 중구 달성로 131-1 (달성동)41922새동산축산2020-06-19 17:13:49U2020-06-23 02:40:00<NA>342759.487282265214.153358식육포장처리업식육포장처리업<NA>000<NA>
910식육포장처리업07_22_06_P34100003410000104201600022016-06-20<NA>3폐업2폐업2020-06-26<NA><NA><NA><NA>0.0<NA>대구광역시 중구 남성로 31대구광역시 중구 남성로 7-1 (남성로)41934다사랑2020-06-26 13:23:55U2020-06-28 02:40:00<NA>343360.638566264375.948443식육포장처리업식육포장처리업<NA>000<NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총직원수
11361137식육포장처리업07_22_06_P34800003480000104201900022019-04-22<NA>3폐업2폐업2019-12-04<NA><NA><NA>053-523-55900.0<NA>대구광역시 달성군 옥포읍 간경리 764번지대구광역시 달성군 옥포읍 간경길 41-842972(주)일진바이오2019-12-04 17:46:21U2019-12-06 02:40:00<NA>332748.602967255844.756724식육포장처리업식육포장처리업<NA>L00<NA>
11371138식육포장처리업07_22_06_P51410005141000104202300012023-08-07<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>대구광역시 군위군 부계면 창평리 759-1대구광역시 군위군 부계면 치산효령로 128043162영운축산2023-08-07 14:32:18I2023-08-09 00:19:30<NA>350496.083504289783.377055식육포장처리업식육포장처리업0F000
11381139식육포장처리업07_22_06_P51410005140000004200400012004-09-09<NA>1영업/정상0정상<NA><NA><NA><NA>054-383-880150782.0<NA>대구광역시 군위군 군위읍 오곡리 341-1대구광역시 군위군 군위읍 경북대로 4052<NA>(주)민속한우2009-08-26 17:04:21I2023-07-01 16:42:10<NA>341316.954472308254.799686식육포장처리업식육포장처리업0L000
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