Overview

Dataset statistics

Number of variables33
Number of observations329
Missing cells2651
Missing cells (%)24.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory89.8 KiB
Average record size in memory279.4 B

Variable types

Numeric5
Categorical14
DateTime5
Unsupported4
Text5

Dataset

Description23년09월_6270000_대구광역시_02_04_05_P_사료제조업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000100971&dataSetDetailId=DDI_0000100986&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
개방자치단체코드 has constant value ""Constant
휴업시작일자 has constant value ""Constant
축산업무구분명 has constant value ""Constant
축산일련번호 has constant value ""Constant
총직원수 has constant value ""Constant
권리주체일련번호 is highly imbalanced (63.4%)Imbalance
인허가취소일자 has 329 (100.0%) missing valuesMissing
폐업일자 has 249 (75.7%) missing valuesMissing
휴업시작일자 has 328 (99.7%) missing valuesMissing
휴업종료일자 has 329 (100.0%) missing valuesMissing
재개업일자 has 329 (100.0%) missing valuesMissing
소재지전화 has 252 (76.6%) missing valuesMissing
소재지우편번호 has 316 (96.0%) missing valuesMissing
도로명우편번호 has 172 (52.3%) missing valuesMissing
좌표정보(X) has 8 (2.4%) missing valuesMissing
좌표정보(Y) has 8 (2.4%) missing valuesMissing
축산물가공업구분명 has 329 (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
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 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 05:59:28.895120
Analysis finished2023-10-21 05:59:30.853146
Duration1.96 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct329
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean165
Minimum1
Maximum329
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-10-21T05:59:31.226771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile17.4
Q183
median165
Q3247
95-th percentile312.6
Maximum329
Range328
Interquartile range (IQR)164

Descriptive statistics

Standard deviation95.118347
Coefficient of variation (CV)0.57647483
Kurtosis-1.2
Mean165
Median Absolute Deviation (MAD)82
Skewness0
Sum54285
Variance9047.5
MonotonicityStrictly increasing
2023-10-21T05:59:31.808609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
227 1
 
0.3%
225 1
 
0.3%
224 1
 
0.3%
223 1
 
0.3%
222 1
 
0.3%
221 1
 
0.3%
220 1
 
0.3%
219 1
 
0.3%
218 1
 
0.3%
Other values (319) 319
97.0%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
329 1
0.3%
328 1
0.3%
327 1
0.3%
326 1
0.3%
325 1
0.3%
324 1
0.3%
323 1
0.3%
322 1
0.3%
321 1
0.3%
320 1
0.3%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
사료제조업
329 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사료제조업 329
100.0%

Length

2023-10-21T05:59:32.613282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:59:33.334821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사료제조업 329
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
02_04_05_P
329 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row02_04_05_P
2nd row02_04_05_P
3rd row02_04_05_P
4th row02_04_05_P
5th row02_04_05_P

Common Values

ValueCountFrequency (%)
02_04_05_P 329
100.0%

Length

2023-10-21T05:59:33.790881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:59:34.430930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02_04_05_p 329
100.0%

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
6270000
329 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row6270000
2nd row6270000
3rd row6270000
4th row6270000
5th row6270000

Common Values

ValueCountFrequency (%)
6270000 329
100.0%

Length

2023-10-21T05:59:35.243909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:59:36.111315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6270000 329
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct329
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.2700005 × 1017
Minimum6.2700005 × 1017
Maximum6.2700005 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-10-21T05:59:36.697229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.2700005 × 1017
5-th percentile6.2700005 × 1017
Q16.2700005 × 1017
median6.2700005 × 1017
Q36.2700005 × 1017
95-th percentile6.2700005 × 1017
Maximum6.2700005 × 1017
Range280026
Interquartile range (IQR)50048

Descriptive statistics

Standard deviation49341.374
Coefficient of variation (CV)7.869437 × 10-14
Kurtosis4.7541748
Mean6.2700005 × 1017
Median Absolute Deviation (MAD)19968
Skewness-2.0083208
Sum3.3688317 × 1018
Variance2.4345712 × 109
MonotonicityNot monotonic
2023-10-21T05:59:37.513487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
627000050220180019 1
 
0.3%
627000050220200034 1
 
0.3%
627000050220200032 1
 
0.3%
627000050220180020 1
 
0.3%
627000050220220038 1
 
0.3%
627000050220220040 1
 
0.3%
627000050220220041 1
 
0.3%
627000050220220036 1
 
0.3%
627000050220220035 1
 
0.3%
627000050220220042 1
 
0.3%
Other values (319) 319
97.0%
ValueCountFrequency (%)
627000050219950001 1
0.3%
627000050219960001 1
0.3%
627000050219960002 1
0.3%
627000050219990001 1
0.3%
627000050220010004 1
0.3%
627000050220030001 1
0.3%
627000050220030002 1
0.3%
627000050220050001 1
0.3%
627000050220050002 1
0.3%
627000050220060001 1
0.3%
ValueCountFrequency (%)
627000050220230027 1
0.3%
627000050220230026 1
0.3%
627000050220230025 1
0.3%
627000050220230024 1
0.3%
627000050220230023 1
0.3%
627000050220230022 1
0.3%
627000050220230021 1
0.3%
627000050220230020 1
0.3%
627000050220230019 1
0.3%
627000050220230018 1
0.3%

인허가일자
Date

Distinct278
Distinct (%)84.5%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
Minimum1995-03-09 00:00:00
Maximum2023-08-29 00:00:00
2023-10-21T05:59:38.222151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T05:59:38.890296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing329
Missing (%)100.0%
Memory size3.0 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
1
248 
3
80 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
1 248
75.4%
3 80
 
24.3%
2 1
 
0.3%

Length

2023-10-21T05:59:39.475301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:59:39.966673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 248
75.4%
3 80
 
24.3%
2 1
 
0.3%

영업상태명
Categorical

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
영업/정상
248 
폐업
80 
휴업
 
1

Length

Max length5
Median length5
Mean length4.2613982
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 248
75.4%
폐업 80
 
24.3%
휴업 1
 
0.3%

Length

2023-10-21T05:59:40.350417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:59:40.802228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 248
75.4%
폐업 80
 
24.3%
휴업 1
 
0.3%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
0
248 
2
80 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 248
75.4%
2 80
 
24.3%
1 1
 
0.3%

Length

2023-10-21T05:59:41.375227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:59:41.938858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 248
75.4%
2 80
 
24.3%
1 1
 
0.3%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
정상
248 
폐업
80 
휴업
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
정상 248
75.4%
폐업 80
 
24.3%
휴업 1
 
0.3%

Length

2023-10-21T05:59:42.743382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:59:43.207557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 248
75.4%
폐업 80
 
24.3%
휴업 1
 
0.3%

폐업일자
Date

MISSING 

Distinct67
Distinct (%)83.8%
Missing249
Missing (%)75.7%
Memory size2.7 KiB
Minimum2010-07-23 00:00:00
Maximum2023-09-12 00:00:00
2023-10-21T05:59:44.189260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T05:59:45.099677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing328
Missing (%)99.7%
Memory size2.7 KiB
Minimum2022-07-20 00:00:00
Maximum2022-07-20 00:00:00
2023-10-21T05:59:45.717771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T05:59:46.501074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing329
Missing (%)100.0%
Memory size3.0 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing329
Missing (%)100.0%
Memory size3.0 KiB

소재지전화
Real number (ℝ)

MISSING 

Distinct65
Distinct (%)84.4%
Missing252
Missing (%)76.6%
Infinite0
Infinite (%)0.0%
Mean1.9761516 × 109
Minimum5.3249474 × 108
Maximum7.0868096 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-10-21T05:59:47.372419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.3249474 × 108
5-th percentile5.3325831 × 108
Q15.3573883 × 108
median5.3623073 × 108
Q35.43822 × 108
95-th percentile7.0746408 × 109
Maximum7.0868096 × 109
Range6.5543149 × 109
Interquartile range (IQR)8083176

Descriptive statistics

Standard deviation2.7223138 × 109
Coefficient of variation (CV)1.3775835
Kurtosis-0.11768134
Mean1.9761516 × 109
Median Absolute Deviation (MAD)1977841
Skewness1.3733152
Sum1.5216367 × 1011
Variance7.4109926 × 1018
MonotonicityNot monotonic
2023-10-21T05:59:48.944840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7041369948 4
 
1.2%
7074340900 3
 
0.9%
7043046785 3
 
0.9%
535569977 3
 
0.9%
533822256 2
 
0.6%
539828585 2
 
0.6%
7086809595 2
 
0.6%
536042898 1
 
0.3%
7075840507 1
 
0.3%
536390028 1
 
0.3%
Other values (55) 55
 
16.7%
(Missing) 252
76.6%
ValueCountFrequency (%)
532494742 1
0.3%
532948555 1
0.3%
533120033 1
0.3%
533256005 1
0.3%
533258881 1
0.3%
533552030 1
0.3%
533822256 2
0.6%
533849005 1
0.3%
533849901 1
0.3%
534237535 1
0.3%
ValueCountFrequency (%)
7086809595 2
0.6%
7077600809 1
 
0.3%
7075840507 1
 
0.3%
7074340900 3
0.9%
7045255974 1
 
0.3%
7043046785 3
0.9%
7041450088 1
 
0.3%
7041369948 4
1.2%
7040017137 1
 
0.3%
543835054 1
 
0.3%

소재지면적
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
276 
0
53 

Length

Max length4
Median length4
Mean length3.5167173
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 276
83.9%
0 53
 
16.1%

Length

2023-10-21T05:59:50.000033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:59:50.912738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 276
83.9%
0 53
 
16.1%

소재지우편번호
Text

MISSING 

Distinct12
Distinct (%)92.3%
Missing316
Missing (%)96.0%
Memory size2.7 KiB
2023-10-21T05:59:51.515019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters91
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

Unique11 ?
Unique (%)84.6%

Sample

1st row702-800
2nd row706-828
3rd row711-823
4th row700-240
5th row706-140
ValueCountFrequency (%)
703-830 2
15.4%
702-800 1
7.7%
706-828 1
7.7%
711-823 1
7.7%
700-240 1
7.7%
706-140 1
7.7%
701-240 1
7.7%
702-831 1
7.7%
704-917 1
7.7%
711-856 1
7.7%
Other values (2) 2
15.4%
2023-10-21T05:59:52.586167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 19
20.9%
7 14
15.4%
- 13
14.3%
1 12
13.2%
8 9
9.9%
3 6
 
6.6%
2 6
 
6.6%
4 6
 
6.6%
6 3
 
3.3%
5 2
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 78
85.7%
Dash Punctuation 13
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 19
24.4%
7 14
17.9%
1 12
15.4%
8 9
11.5%
3 6
 
7.7%
2 6
 
7.7%
4 6
 
7.7%
6 3
 
3.8%
5 2
 
2.6%
9 1
 
1.3%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 91
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 19
20.9%
7 14
15.4%
- 13
14.3%
1 12
13.2%
8 9
9.9%
3 6
 
6.6%
2 6
 
6.6%
4 6
 
6.6%
6 3
 
3.3%
5 2
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 91
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 19
20.9%
7 14
15.4%
- 13
14.3%
1 12
13.2%
8 9
9.9%
3 6
 
6.6%
2 6
 
6.6%
4 6
 
6.6%
6 3
 
3.3%
5 2
 
2.2%

소재지전체주소
Text

Distinct267
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2023-10-21T05:59:53.532182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length47
Mean length24.6231
Min length1

Characters and Unicode

Total characters8101
Distinct characters201
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

Unique237 ?
Unique (%)72.0%

Sample

1st row대구광역시 동구 동호동 89번지 0호
2nd row대구광역시 달서구 진천동 692번지 4호
3rd row대구광역시 달성군 논공읍 본리리 29번지 72호
4th row대구광역시 북구 검단동 700번지 2호
5th row대구광역시 달서구 갈산동 400번지 33호
ValueCountFrequency (%)
대구광역시 301
 
18.0%
달서구 71
 
4.2%
북구 50
 
3.0%
0호 48
 
2.9%
수성구 42
 
2.5%
달성군 35
 
2.1%
1호 33
 
2.0%
동구 29
 
1.7%
3호 25
 
1.5%
남구 24
 
1.4%
Other values (487) 1013
60.6%
2023-10-21T05:59:55.286905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1905
23.5%
구 570
 
7.0%
1 392
 
4.8%
호 349
 
4.3%
대 343
 
4.2%
지 318
 
3.9%
동 312
 
3.9%
시 305
 
3.8%
번 303
 
3.7%
광 301
 
3.7%
Other values (191) 3003
37.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4566
56.4%
Space Separator 1905
23.5%
Decimal Number 1612
 
19.9%
Uppercase Letter 7
 
0.1%
Other Punctuation 4
 
< 0.1%
Close Punctuation 3
 
< 0.1%
Open Punctuation 3
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 570
12.5%
호 349
 
7.6%
대 343
 
7.5%
지 318
 
7.0%
동 312
 
6.8%
시 305
 
6.7%
번 303
 
6.6%
광 301
 
6.6%
역 301
 
6.6%
달 109
 
2.4%
Other values (172) 1355
29.7%
Decimal Number
ValueCountFrequency (%)
1 392
24.3%
2 205
12.7%
0 198
12.3%
3 158
9.8%
4 138
 
8.6%
5 128
 
7.9%
7 111
 
6.9%
8 102
 
6.3%
6 99
 
6.1%
9 81
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
28.6%
D 2
28.6%
A 2
28.6%
S 1
14.3%
Space Separator
ValueCountFrequency (%)
1905
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4566
56.4%
Common 3528
43.6%
Latin 7
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 570
12.5%
호 349
 
7.6%
대 343
 
7.5%
지 318
 
7.0%
동 312
 
6.8%
시 305
 
6.7%
번 303
 
6.6%
광 301
 
6.6%
역 301
 
6.6%
달 109
 
2.4%
Other values (172) 1355
29.7%
Common
ValueCountFrequency (%)
1905
54.0%
1 392
 
11.1%
2 205
 
5.8%
0 198
 
5.6%
3 158
 
4.5%
4 138
 
3.9%
5 128
 
3.6%
7 111
 
3.1%
8 102
 
2.9%
6 99
 
2.8%
Other values (5) 92
 
2.6%
Latin
ValueCountFrequency (%)
B 2
28.6%
D 2
28.6%
A 2
28.6%
S 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4566
56.4%
ASCII 3535
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1905
53.9%
1 392
 
11.1%
2 205
 
5.8%
0 198
 
5.6%
3 158
 
4.5%
4 138
 
3.9%
5 128
 
3.6%
7 111
 
3.1%
8 102
 
2.9%
6 99
 
2.8%
Other values (9) 99
 
2.8%
Hangul
ValueCountFrequency (%)
구 570
12.5%
호 349
 
7.6%
대 343
 
7.5%
지 318
 
7.0%
동 312
 
6.8%
시 305
 
6.7%
번 303
 
6.6%
광 301
 
6.6%
역 301
 
6.6%
달 109
 
2.4%
Other values (172) 1355
29.7%

도로명전체주소
Text

Distinct293
Distinct (%)89.6%
Missing2
Missing (%)0.6%
Memory size2.7 KiB
2023-10-21T05:59:56.386784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length47
Mean length28.41896
Min length20

Characters and Unicode

Total characters9293
Distinct characters243
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

Unique269 ?
Unique (%)82.3%

Sample

1st row대구광역시 동구 경안로107길 13, 1층 (동호동)
2nd row대구광역시 달서구 상화로9길 66-14, 1층 (진천동)
3rd row대구광역시 달성군 논공읍 논공로69길 10
4th row대구광역시 북구 검단북로 154 (검단동)
5th row대구광역시 달서구 성서서로 211 (갈산동)
ValueCountFrequency (%)
대구광역시 327
 
18.0%
1층 78
 
4.3%
달서구 74
 
4.1%
북구 52
 
2.9%
달성군 46
 
2.5%
수성구 44
 
2.4%
동구 33
 
1.8%
중구 25
 
1.4%
남구 25
 
1.4%
서구 16
 
0.9%
Other values (681) 1099
60.4%
2023-10-21T05:59:58.038656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1492
 
16.1%
구 626
 
6.7%
1 457
 
4.9%
대 422
 
4.5%
동 373
 
4.0%
역 337
 
3.6%
시 333
 
3.6%
광 327
 
3.5%
로 306
 
3.3%
) 275
 
3.0%
Other values (233) 4345
46.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5365
57.7%
Decimal Number 1574
 
16.9%
Space Separator 1492
 
16.1%
Close Punctuation 275
 
3.0%
Open Punctuation 275
 
3.0%
Other Punctuation 214
 
2.3%
Dash Punctuation 89
 
1.0%
Uppercase Letter 9
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 626
 
11.7%
대 422
 
7.9%
동 373
 
7.0%
역 337
 
6.3%
시 333
 
6.2%
광 327
 
6.1%
로 306
 
5.7%
길 194
 
3.6%
성 156
 
2.9%
층 143
 
2.7%
Other values (214) 2148
40.0%
Decimal Number
ValueCountFrequency (%)
1 457
29.0%
2 215
13.7%
0 154
 
9.8%
4 147
 
9.3%
3 140
 
8.9%
5 120
 
7.6%
7 106
 
6.7%
6 106
 
6.7%
8 66
 
4.2%
9 63
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
D 3
33.3%
A 2
22.2%
B 2
22.2%
S 2
22.2%
Space Separator
ValueCountFrequency (%)
1492
100.0%
Close Punctuation
ValueCountFrequency (%)
) 275
100.0%
Open Punctuation
ValueCountFrequency (%)
( 275
100.0%
Other Punctuation
ValueCountFrequency (%)
, 214
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 89
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5365
57.7%
Common 3919
42.2%
Latin 9
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 626
 
11.7%
대 422
 
7.9%
동 373
 
7.0%
역 337
 
6.3%
시 333
 
6.2%
광 327
 
6.1%
로 306
 
5.7%
길 194
 
3.6%
성 156
 
2.9%
층 143
 
2.7%
Other values (214) 2148
40.0%
Common
ValueCountFrequency (%)
1492
38.1%
1 457
 
11.7%
) 275
 
7.0%
( 275
 
7.0%
2 215
 
5.5%
, 214
 
5.5%
0 154
 
3.9%
4 147
 
3.8%
3 140
 
3.6%
5 120
 
3.1%
Other values (5) 430
 
11.0%
Latin
ValueCountFrequency (%)
D 3
33.3%
A 2
22.2%
B 2
22.2%
S 2
22.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5365
57.7%
ASCII 3928
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1492
38.0%
1 457
 
11.6%
) 275
 
7.0%
( 275
 
7.0%
2 215
 
5.5%
, 214
 
5.4%
0 154
 
3.9%
4 147
 
3.7%
3 140
 
3.6%
5 120
 
3.1%
Other values (9) 439
 
11.2%
Hangul
ValueCountFrequency (%)
구 626
 
11.7%
대 422
 
7.9%
동 373
 
7.0%
역 337
 
6.3%
시 333
 
6.2%
광 327
 
6.1%
로 306
 
5.7%
길 194
 
3.6%
성 156
 
2.9%
층 143
 
2.7%
Other values (214) 2148
40.0%

도로명우편번호
Text

MISSING 

Distinct138
Distinct (%)87.9%
Missing172
Missing (%)52.3%
Memory size2.7 KiB
2023-10-21T05:59:58.991921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0127389
Min length5

Characters and Unicode

Total characters787
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

Unique121 ?
Unique (%)77.1%

Sample

1st row41112
2nd row41510
3rd row42159
4th row42713
5th row42487
ValueCountFrequency (%)
41566 3
 
1.9%
42974 3
 
1.9%
41039 2
 
1.3%
41001 2
 
1.3%
42819 2
 
1.3%
42228 2
 
1.3%
42999 2
 
1.3%
41846 2
 
1.3%
41518 2
 
1.3%
43137 2
 
1.3%
Other values (128) 135
86.0%
2023-10-21T06:00:01.056274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 208
26.4%
1 133
16.9%
2 122
15.5%
9 58
 
7.4%
6 51
 
6.5%
0 50
 
6.4%
7 49
 
6.2%
3 43
 
5.5%
5 42
 
5.3%
8 30
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 786
99.9%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 208
26.5%
1 133
16.9%
2 122
15.5%
9 58
 
7.4%
6 51
 
6.5%
0 50
 
6.4%
7 49
 
6.2%
3 43
 
5.5%
5 42
 
5.3%
8 30
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 787
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 208
26.4%
1 133
16.9%
2 122
15.5%
9 58
 
7.4%
6 51
 
6.5%
0 50
 
6.4%
7 49
 
6.2%
3 43
 
5.5%
5 42
 
5.3%
8 30
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 787
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 208
26.4%
1 133
16.9%
2 122
15.5%
9 58
 
7.4%
6 51
 
6.5%
0 50
 
6.4%
7 49
 
6.2%
3 43
 
5.5%
5 42
 
5.3%
8 30
 
3.8%

사업장명
Text

Distinct283
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2023-10-21T06:00:02.584314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length17
Mean length6.656535
Min length2

Characters and Unicode

Total characters2190
Distinct characters379
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

Unique248 ?
Unique (%)75.4%

Sample

1st row비오벨
2nd row농업회사법인주식회사한진사료
3rd row(주)대경오앤티
4th row대구축산농협
5th row고려산업(주)대구배합사료공장
ValueCountFrequency (%)
주식회사 25
 
5.7%
수제간식 10
 
2.3%
아일랜드 5
 
1.1%
뚜드림 5
 
1.1%
앤 5
 
1.1%
농업회사법인 5
 
1.1%
군위공장 4
 
0.9%
오복누리 4
 
0.9%
코 4
 
0.9%
주)이가 3
 
0.7%
Other values (325) 368
84.0%
2023-10-21T06:00:04.760185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
109
 
5.0%
주 73
 
3.3%
이 69
 
3.2%
) 61
 
2.8%
( 61
 
2.8%
식 57
 
2.6%
사 52
 
2.4%
스 45
 
2.1%
댕 41
 
1.9%
회 39
 
1.8%
Other values (369) 1583
72.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1738
79.4%
Lowercase Letter 120
 
5.5%
Space Separator 109
 
5.0%
Uppercase Letter 92
 
4.2%
Close Punctuation 61
 
2.8%
Open Punctuation 61
 
2.8%
Other Punctuation 8
 
0.4%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 73
 
4.2%
이 69
 
4.0%
식 57
 
3.3%
사 52
 
3.0%
스 45
 
2.6%
댕 41
 
2.4%
회 39
 
2.2%
리 30
 
1.7%
아 29
 
1.7%
드 28
 
1.6%
Other values (319) 1275
73.4%
Uppercase Letter
ValueCountFrequency (%)
O 16
17.4%
D 9
9.8%
N 8
 
8.7%
G 8
 
8.7%
L 8
 
8.7%
A 6
 
6.5%
F 4
 
4.3%
P 4
 
4.3%
E 4
 
4.3%
I 4
 
4.3%
Other values (10) 21
22.8%
Lowercase Letter
ValueCountFrequency (%)
e 13
 
10.8%
a 13
 
10.8%
t 12
 
10.0%
r 8
 
6.7%
h 7
 
5.8%
n 7
 
5.8%
m 7
 
5.8%
i 7
 
5.8%
d 7
 
5.8%
o 5
 
4.2%
Other values (10) 34
28.3%
Other Punctuation
ValueCountFrequency (%)
. 2
25.0%
' 2
25.0%
& 1
12.5%
: 1
12.5%
! 1
12.5%
, 1
12.5%
Space Separator
ValueCountFrequency (%)
109
100.0%
Close Punctuation
ValueCountFrequency (%)
) 61
100.0%
Open Punctuation
ValueCountFrequency (%)
( 61
100.0%
Decimal Number
ValueCountFrequency (%)
9 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1738
79.4%
Common 240
 
11.0%
Latin 212
 
9.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 73
 
4.2%
이 69
 
4.0%
식 57
 
3.3%
사 52
 
3.0%
스 45
 
2.6%
댕 41
 
2.4%
회 39
 
2.2%
리 30
 
1.7%
아 29
 
1.7%
드 28
 
1.6%
Other values (319) 1275
73.4%
Latin
ValueCountFrequency (%)
O 16
 
7.5%
e 13
 
6.1%
a 13
 
6.1%
t 12
 
5.7%
D 9
 
4.2%
r 8
 
3.8%
N 8
 
3.8%
G 8
 
3.8%
L 8
 
3.8%
h 7
 
3.3%
Other values (30) 110
51.9%
Common
ValueCountFrequency (%)
109
45.4%
) 61
25.4%
( 61
25.4%
. 2
 
0.8%
' 2
 
0.8%
& 1
 
0.4%
: 1
 
0.4%
9 1
 
0.4%
! 1
 
0.4%
, 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1738
79.4%
ASCII 452
 
20.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
109
24.1%
) 61
13.5%
( 61
13.5%
O 16
 
3.5%
e 13
 
2.9%
a 13
 
2.9%
t 12
 
2.7%
D 9
 
2.0%
r 8
 
1.8%
N 8
 
1.8%
Other values (40) 142
31.4%
Hangul
ValueCountFrequency (%)
주 73
 
4.2%
이 69
 
4.0%
식 57
 
3.3%
사 52
 
3.0%
스 45
 
2.6%
댕 41
 
2.4%
회 39
 
2.2%
리 30
 
1.7%
아 29
 
1.7%
드 28
 
1.6%
Other values (319) 1275
73.4%

최종수정시점
Date

UNIQUE 

Distinct329
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
Minimum2011-05-17 10:07:36
Maximum2023-09-14 10:33:03
2023-10-21T06:00:05.991855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T06:00:07.996839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
I
193 
U
136 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 193
58.7%
U 136
41.3%

Length

2023-10-21T06:00:10.343596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:00:11.648591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 193
58.7%
u 136
41.3%

데이터갱신일자
Date

Distinct161
Distinct (%)48.9%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
Minimum2018-10-12 23:59:59
Maximum2023-09-16 02:40:00
2023-10-21T06:00:13.002611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T06:00:14.905738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct4
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
사료제조업(단미)
234 
사료제조업(수입)
55 
사료제조업(보조)
25 
사료제조업(배합)
 
15

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row사료제조업(단미)
2nd row사료제조업(수입)
3rd row사료제조업(단미)
4th row사료제조업(배합)
5th row사료제조업(배합)

Common Values

ValueCountFrequency (%)
사료제조업(단미) 234
71.1%
사료제조업(수입) 55
 
16.7%
사료제조업(보조) 25
 
7.6%
사료제조업(배합) 15
 
4.6%

Length

2023-10-21T06:00:16.018927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:00:16.770537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사료제조업(단미 234
71.1%
사료제조업(수입 55
 
16.7%
사료제조업(보조 25
 
7.6%
사료제조업(배합 15
 
4.6%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct272
Distinct (%)84.7%
Missing8
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean341521.75
Minimum325685.32
Maximum356490.81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-10-21T06:00:17.498144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum325685.32
5-th percentile330453.68
Q1337456.49
median341643.94
Q3345734.8
95-th percentile352868.54
Maximum356490.81
Range30805.492
Interquartile range (IQR)8278.3088

Descriptive statistics

Standard deviation6186.4506
Coefficient of variation (CV)0.018114368
Kurtosis-0.16233231
Mean341521.75
Median Absolute Deviation (MAD)4136.335
Skewness-0.0066946204
Sum1.0962848 × 108
Variance38272171
MonotonicityNot monotonic
2023-10-21T06:00:18.145425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
337427.050971189 5
 
1.5%
332403.616576354 4
 
1.2%
342201.729732716 4
 
1.2%
345299.742438478 3
 
0.9%
335371.290684169 3
 
0.9%
335020.71533874 3
 
0.9%
335765.070596416 3
 
0.9%
335258.325581883 3
 
0.9%
340758.432299381 3
 
0.9%
342314.461706282 2
 
0.6%
Other values (262) 288
87.5%
(Missing) 8
 
2.4%
ValueCountFrequency (%)
325685.315780561 1
0.3%
326530.499627203 1
0.3%
328187.529441311 1
0.3%
328520.607104741 1
0.3%
328755.529324244 1
0.3%
329251.092133638 1
0.3%
329560.243239714 1
0.3%
329759.871761656 1
0.3%
329955.141065265 1
0.3%
330037.580650576 1
0.3%
ValueCountFrequency (%)
356490.807776448 1
0.3%
356425.755844676 1
0.3%
356353.915440362 1
0.3%
355577.189866998 1
0.3%
355525.647369903 1
0.3%
354858.65039992 1
0.3%
354582.444581043 1
0.3%
354504.22456415 1
0.3%
354394.232075803 1
0.3%
354255.918817546 1
0.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct272
Distinct (%)84.7%
Missing8
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean263660.9
Minimum238531.35
Maximum307107.44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-10-21T06:00:19.010575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum238531.35
5-th percentile254222.05
Q1260552.14
median263066.42
Q3265702.93
95-th percentile273220.61
Maximum307107.44
Range68576.085
Interquartile range (IQR)5150.7967

Descriptive statistics

Standard deviation8318.3671
Coefficient of variation (CV)0.03154949
Kurtosis7.1061028
Mean263660.9
Median Absolute Deviation (MAD)2543.7081
Skewness1.3862876
Sum84635150
Variance69195231
MonotonicityNot monotonic
2023-10-21T06:00:19.791448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
263066.420398245 5
 
1.5%
263662.761925683 4
 
1.2%
289966.269468533 4
 
1.2%
266806.443246079 3
 
0.9%
261402.002742765 3
 
0.9%
261876.939345799 3
 
0.9%
260401.08469461 3
 
0.9%
260401.087613463 3
 
0.9%
259690.100890509 3
 
0.9%
260694.947440209 2
 
0.6%
Other values (262) 288
87.5%
(Missing) 8
 
2.4%
ValueCountFrequency (%)
238531.354079775 1
0.3%
239251.708487962 1
0.3%
239622.465759964 1
0.3%
239695.851566535 1
0.3%
243936.060857258 1
0.3%
244266.488938767 1
0.3%
244532.532589328 1
0.3%
244537.750024761 1
0.3%
244588.359288703 1
0.3%
244606.28981761 1
0.3%
ValueCountFrequency (%)
307107.439421393 1
 
0.3%
299524.056104778 2
0.6%
299028.045310709 1
 
0.3%
291567.147064087 2
0.6%
289966.269468533 4
1.2%
288767.3784417 1
 
0.3%
288757.045505715 1
 
0.3%
277541.768687529 2
0.6%
273621.624081726 1
 
0.3%
273220.608260655 2
0.6%

축산업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
사료제조업
329 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사료제조업 329
100.0%

Length

2023-10-21T06:00:20.752019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:00:21.344752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사료제조업 329
100.0%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing329
Missing (%)100.0%
Memory size3.0 KiB

축산일련번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
0
329 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 329
100.0%

Length

2023-10-21T06:00:22.072345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:00:22.772285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 329
100.0%

권리주체일련번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
000
306 
L00
 
23

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
000 306
93.0%
L00 23
 
7.0%

Length

2023-10-21T06:00:23.616004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:00:24.193097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 306
93.0%
l00 23
 
7.0%

총직원수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
0
329 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 329
100.0%

Length

2023-10-21T06:00:24.642132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:00:25.095114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 329
100.0%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총직원수
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12사료제조업02_04_05_P62700006270000502201800082018-05-28<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 진천동 692번지 4호대구광역시 달서구 상화로9길 66-14, 1층 (진천동)<NA>농업회사법인주식회사한진사료2018-05-29 10:39:14I2019-03-23 02:20:03사료제조업(수입)337335.615596257757.122135사료제조업<NA>0L000
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34사료제조업02_04_05_P62700006270000502199600011996-03-27<NA>1영업/정상0정상<NA><NA><NA><NA>5338499010702-800대구광역시 북구 검단동 700번지 2호대구광역시 북구 검단북로 154 (검단동)41510대구축산농협2015-04-20 17:09:43I2019-03-23 02:20:03사료제조업(배합)346441.127461269593.325618사료제조업<NA>00000
45사료제조업02_04_05_P62700006270000502199600021996-04-04<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 갈산동 400번지 33호대구광역시 달서구 성서서로 211 (갈산동)<NA>고려산업(주)대구배합사료공장2020-04-14 16:41:49U2020-04-16 02:40:00사료제조업(배합)335371.290684261402.002743사료제조업<NA>00000
56사료제조업02_04_05_P62700006270000502199900011999-09-08<NA>1영업/정상0정상<NA><NA><NA><NA>5361482660<NA>대구광역시 달성군 논공읍 금포리 541번지대구광역시 달성군 논공읍 비슬로371길 101<NA>영남바이오 주식회사2023-09-14 10:33:03U2023-09-16 02:40:00사료제조업(단미)328187.529441254537.796102사료제조업<NA>00000
67사료제조업02_04_05_P62700006270000502200300022003-12-12<NA>1영업/정상0정상<NA><NA><NA><NA>5361620800<NA>대구광역시 달성군 구지면 예현리 430번지대구광역시 달성군 구지면 과학동로42길 2-29<NA>대경사료(주)2019-10-18 10:58:46U2019-10-20 02:40:00사료제조업(단미)329560.24324239251.708488사료제조업<NA>0L000
78사료제조업02_04_05_P62700006270000502200600012006-03-20<NA>1영업/정상0정상<NA><NA><NA><NA>5358320710<NA>대구광역시 달서구 대천동 605번지 5호대구광역시 달서구 성서로 72 (대천동)<NA>풍국주정공업주식회사2018-02-09 17:04:07I2019-03-23 02:20:03사료제조업(단미)336267.740645259175.413291사료제조업<NA>00000
89사료제조업02_04_05_P62700006270000502200600022006-07-26<NA>1영업/정상0정상<NA><NA><NA><NA>5361614780<NA>대구광역시 달성군 구지면 평촌리 93번지대구광역시 달성군 구지면 구지동로 101<NA>달성섬유질배합사료영농조합법인2022-11-17 18:02:45U2022-11-19 02:40:00사료제조업(배합)330557.850723239622.46576사료제조업<NA>00000
910사료제조업02_04_05_P62700006270000502200600042006-08-28<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>대구광역시 북구 산격동 1548번지대구광역시 북구 유통단지로7길 45 (산격동)<NA>(주)동광상사2018-02-09 16:14:46I2019-03-23 02:20:03사료제조업(수입)345055.738521268872.552457사료제조업<NA>00000
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총직원수
319320사료제조업02_04_05_P62700006270000502202000232020-11-12<NA>3폐업2폐업2022-03-17<NA><NA><NA><NA><NA><NA>대구광역시 동구 동호동 368번지 1호대구광역시 동구 동호로3길 20 (동호동)<NA>리니펫2022-03-17 17:04:54U2022-03-19 02:40:00사료제조업(단미)355577.189867264387.013193사료제조업<NA>00000
320321사료제조업02_04_05_P62700006270000502202200482022-09-22<NA>3폐업2폐업2023-06-14<NA><NA><NA><NA><NA><NA>대구광역시 북구 침산동 338번지 13호대구광역시 북구 성북로 62, 창준빌딩 502호(침산동)<NA>댕스미스2023-06-14 18:11:55U2023-06-16 02:40:00사료제조업(단미)343536.059717266866.092708사료제조업<NA>00000
321322사료제조업02_04_05_P62700006270000502202100092021-03-08<NA>3폐업2폐업2023-03-15<NA><NA><NA><NA>0<NA>대구광역시 중구 대신동 1692번지 0호대구광역시 중구 큰장로10길 37, 1층 (대신동)<NA>폼브라더(Pom Brother)2023-03-15 09:46:46U2023-05-26 08:48:36사료제조업(단미)342244.625847263895.20524사료제조업<NA>00000
322323사료제조업02_04_05_P62700006270000502202100162021-04-09<NA>3폐업2폐업2022-09-26<NA><NA><NA><NA><NA><NA>대구광역시 달서구 진천동 205번지 1호 귀빈아파트 상가101호대구광역시 달서구 월배로32안길 61, 상가101호 (진천동, 귀빈아파트)<NA>댕발란스2022-09-26 14:13:05U2022-09-28 02:40:00사료제조업(단미)338252.383914258050.871463사료제조업<NA>00000
323324사료제조업02_04_05_P62700006270000502202100102021-03-11<NA>3폐업2폐업2022-04-29<NA><NA><NA><NA><NA><NA>대구광역시 동구 율하동 1613번지 0호 휴먼시아 102호대구광역시 동구 율하동로12길 12, 휴먼시아 1층 102호 (율하동)<NA>코뭉코뭉2022-04-29 16:19:10U2022-05-01 02:40:00사료제조업(단미)353805.032386263776.581734사료제조업<NA>00000
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325326사료제조업02_04_05_P62700006270000502202100172021-04-14<NA>3폐업2폐업2023-05-02<NA><NA><NA><NA><NA><NA>대구광역시 달서구 감삼동 124번지 37호대구광역시 달서구 감삼남길 163, 1층 (감삼동)42644까까쿡방2023-05-02 17:54:12U2023-05-26 08:48:36사료제조업(단미)339555.664884262196.937702사료제조업<NA>00000
326327사료제조업02_04_05_P62700006270000502201800182018-10-29<NA>3폐업2폐업2023-04-21<NA><NA><NA><NA><NA><NA>대구광역시 달서구 대곡동 29번지 2호대구광역시 달서구 비슬로540길 9, 1층 114호 (대곡동)42769연성이네간식멍냥2023-04-21 14:32:27U2023-05-26 08:48:36사료제조업(단미)336536.314528257522.922937사료제조업<NA>00000
327328사료제조업02_04_05_P62700006270000502201800012018-01-08<NA>3폐업2폐업2021-04-06<NA><NA><NA><NA>0<NA>대구광역시 달서구 용산동 884번지 3호대구광역시 달서구 와룡로49길 72-8, 1층 (용산동)42631라비앙독2021-04-06 11:18:50U2021-04-08 02:40:00사료제조업(단미)338431.94482262706.107561사료제조업<NA>00000
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