Overview

Dataset statistics

Number of variables33
Number of observations514
Missing cells3194
Missing cells (%)18.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory142.2 KiB
Average record size in memory283.3 B

Variable types

Numeric13
Categorical13
Unsupported2
Text4
DateTime1

Dataset

Description22년12월_6270000_대구광역시_07_22_05_P_축산가공업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000097396&dataSetDetailId=DDI_0000097436&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
축산업무구분명 has constant value ""Constant
개방자치단체코드 is highly imbalanced (84.8%)Imbalance
업태구분명 is highly imbalanced (78.6%)Imbalance
축산물가공업구분명 is highly imbalanced (78.6%)Imbalance
인허가취소일자 has 514 (100.0%) missing valuesMissing
폐업일자 has 248 (48.2%) missing valuesMissing
휴업시작일자 has 501 (97.5%) missing valuesMissing
휴업종료일자 has 503 (97.9%) missing valuesMissing
재개업일자 has 514 (100.0%) missing valuesMissing
소재지전화 has 184 (35.8%) missing valuesMissing
소재지면적 has 36 (7.0%) missing valuesMissing
소재지우편번호 has 366 (71.2%) missing valuesMissing
도로명전체주소 has 18 (3.5%) missing valuesMissing
도로명우편번호 has 208 (40.5%) missing valuesMissing
좌표정보(X) has 39 (7.6%) missing valuesMissing
좌표정보(Y) has 39 (7.6%) missing valuesMissing
총직원수 has 24 (4.7%) missing valuesMissing
소재지면적 is highly skewed (γ1 = 20.7105747)Skewed
번호 has unique valuesUnique
관리번호 has unique valuesUnique
최종수정시점 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 has 166 (32.3%) zerosZeros
총직원수 has 386 (75.1%) zerosZeros

Reproduction

Analysis started2023-12-10 19:32:55.515923
Analysis finished2023-12-10 19:32:56.503722
Duration0.99 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct514
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean257.5
Minimum1
Maximum514
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-11T04:32:56.618622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile26.65
Q1129.25
median257.5
Q3385.75
95-th percentile488.35
Maximum514
Range513
Interquartile range (IQR)256.5

Descriptive statistics

Standard deviation148.52329
Coefficient of variation (CV)0.57678946
Kurtosis-1.2
Mean257.5
Median Absolute Deviation (MAD)128.5
Skewness0
Sum132355
Variance22059.167
MonotonicityStrictly increasing
2023-12-11T04:32:56.848798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
387 1
 
0.2%
353 1
 
0.2%
352 1
 
0.2%
351 1
 
0.2%
350 1
 
0.2%
349 1
 
0.2%
348 1
 
0.2%
347 1
 
0.2%
346 1
 
0.2%
Other values (504) 504
98.1%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
514 1
0.2%
513 1
0.2%
512 1
0.2%
511 1
0.2%
510 1
0.2%
509 1
0.2%
508 1
0.2%
507 1
0.2%
506 1
0.2%
505 1
0.2%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
축산가공업
514 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
축산가공업 514
100.0%

Length

2023-12-11T04:32:57.070240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:32:57.192906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산가공업 514
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
07_22_05_P
514 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row07_22_05_P
2nd row07_22_05_P
3rd row07_22_05_P
4th row07_22_05_P
5th row07_22_05_P

Common Values

ValueCountFrequency (%)
07_22_05_P 514
100.0%

Length

2023-12-11T04:32:57.355164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:32:57.503683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_05_p 514
100.0%

개방자치단체코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
6270000
490 
3480000
 
10
3420000
 
8
3460000
 
5
3470000
 
1

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
6270000 490
95.3%
3480000 10
 
1.9%
3420000 8
 
1.6%
3460000 5
 
1.0%
3470000 1
 
0.2%

Length

2023-12-11T04:32:57.648350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:32:57.808776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6270000 490
95.3%
3480000 10
 
1.9%
3420000 8
 
1.6%
3460000 5
 
1.0%
3470000 1
 
0.2%

관리번호
Real number (ℝ)

UNIQUE 

Distinct514
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.1385798 × 1017
Minimum3.42 × 1017
Maximum6.27 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-11T04:32:58.000917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.42 × 1017
5-th percentile6.27 × 1017
Q16.27 × 1017
median6.27 × 1017
Q36.27 × 1017
95-th percentile6.27 × 1017
Maximum6.27 × 1017
Range2.85 × 1017
Interquartile range (IQR)89984

Descriptive statistics

Standard deviation5.9442515 × 1016
Coefficient of variation (CV)0.096834312
Kurtosis16.646379
Mean6.1385798 × 1017
Median Absolute Deviation (MAD)39936
Skewness-4.3104014
Sum1.928351 × 1018
Variance3.5334125 × 1033
MonotonicityNot monotonic
2023-12-11T04:32:58.228139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
342000000420030004 1
 
0.2%
627000000420150019 1
 
0.2%
627000000420140022 1
 
0.2%
627000000420140020 1
 
0.2%
627000000420140006 1
 
0.2%
627000000420140003 1
 
0.2%
627000000420140001 1
 
0.2%
627000000420130081 1
 
0.2%
627000000420130079 1
 
0.2%
627000000420130077 1
 
0.2%
Other values (504) 504
98.1%
ValueCountFrequency (%)
342000000419990001 1
0.2%
342000000420000003 1
0.2%
342000000420000004 1
0.2%
342000000420020001 1
0.2%
342000000420020002 1
0.2%
342000000420030002 1
0.2%
342000000420030003 1
0.2%
342000000420030004 1
0.2%
346000000419980001 1
0.2%
346000000420000001 1
0.2%
ValueCountFrequency (%)
627000000420220020 1
0.2%
627000000420220019 1
0.2%
627000000420220018 1
0.2%
627000000420220017 1
0.2%
627000000420220016 1
0.2%
627000000420220015 1
0.2%
627000000420220014 1
0.2%
627000000420220013 1
0.2%
627000000420220012 1
0.2%
627000000420220011 1
0.2%

인허가일자
Real number (ℝ)

Distinct407
Distinct (%)79.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20120852
Minimum19850629
Maximum20221116
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-11T04:32:58.437927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19850629
5-th percentile19986927
Q120090313
median20131029
Q320170117
95-th percentile20210958
Maximum20221116
Range370487
Interquartile range (IQR)79804

Descriptive statistics

Standard deviation66445.543
Coefficient of variation (CV)0.0033023225
Kurtosis0.61318448
Mean20120852
Median Absolute Deviation (MAD)39529.5
Skewness-0.88496324
Sum1.0342118 × 1010
Variance4.4150102 × 109
MonotonicityNot monotonic
2023-12-11T04:32:58.667859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20131029 12
 
2.3%
20131101 9
 
1.8%
20170117 5
 
1.0%
20131030 4
 
0.8%
20140129 4
 
0.8%
20130709 3
 
0.6%
20060811 3
 
0.6%
20130522 3
 
0.6%
20131012 3
 
0.6%
20131212 3
 
0.6%
Other values (397) 465
90.5%
ValueCountFrequency (%)
19850629 1
0.2%
19900524 1
0.2%
19920525 1
0.2%
19930120 2
0.4%
19940404 1
0.2%
19950420 1
0.2%
19950629 1
0.2%
19950907 1
0.2%
19960307 1
0.2%
19960414 1
0.2%
ValueCountFrequency (%)
20221116 1
0.2%
20221107 1
0.2%
20220905 1
0.2%
20220816 1
0.2%
20220727 1
0.2%
20220718 1
0.2%
20220713 2
0.4%
20220630 1
0.2%
20220524 1
0.2%
20220404 2
0.4%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing514
Missing (%)100.0%
Memory size4.6 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
3
243 
1
240 
4
 
24
2
 
7

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 243
47.3%
1 240
46.7%
4 24
 
4.7%
2 7
 
1.4%

Length

2023-12-11T04:32:58.860857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:32:58.990978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 243
47.3%
1 240
46.7%
4 24
 
4.7%
2 7
 
1.4%

영업상태명
Categorical

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
폐업
243 
영업/정상
240 
취소/말소/만료/정지/중지
 
24
휴업
 
7

Length

Max length14
Median length5
Mean length3.9610895
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 243
47.3%
영업/정상 240
46.7%
취소/말소/만료/정지/중지 24
 
4.7%
휴업 7
 
1.4%

Length

2023-12-11T04:32:59.163501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:32:59.323971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 243
47.3%
영업/정상 240
46.7%
취소/말소/만료/정지/중지 24
 
4.7%
휴업 7
 
1.4%

상세영업상태코드
Categorical

Distinct5
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2
243 
0
240 
4
 
22
1
 
7
3
 
2

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 (%)
2 243
47.3%
0 240
46.7%
4 22
 
4.3%
1 7
 
1.4%
3 2
 
0.4%

Length

2023-12-11T04:32:59.550192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:32:59.726373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 243
47.3%
0 240
46.7%
4 22
 
4.3%
1 7
 
1.4%
3 2
 
0.4%

상세영업상태명
Categorical

Distinct5
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
폐업
243 
정상
240 
말소
 
22
휴업
 
7
인허가취소
 
2

Length

Max length5
Median length2
Mean length2.0116732
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 243
47.3%
정상 240
46.7%
말소 22
 
4.3%
휴업 7
 
1.4%
인허가취소 2
 
0.4%

Length

2023-12-11T04:32:59.930204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:33:00.116327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 243
47.3%
정상 240
46.7%
말소 22
 
4.3%
휴업 7
 
1.4%
인허가취소 2
 
0.4%

폐업일자
Real number (ℝ)

MISSING 

Distinct207
Distinct (%)77.8%
Missing248
Missing (%)48.2%
Infinite0
Infinite (%)0.0%
Mean20172292
Minimum20000118
Maximum20221230
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-11T04:33:00.354615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20000118
5-th percentile20053505
Q120160218
median20190570
Q320210580
95-th percentile20221129
Maximum20221230
Range221112
Interquartile range (IQR)50361.5

Descriptive statistics

Standard deviation52432.849
Coefficient of variation (CV)0.0025992509
Kurtosis1.7054378
Mean20172292
Median Absolute Deviation (MAD)20655
Skewness-1.5154685
Sum5.3658297 × 109
Variance2.7492036 × 109
MonotonicityNot monotonic
2023-12-11T04:33:00.628465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190801 10
 
1.9%
20220225 6
 
1.2%
20210510 5
 
1.0%
20141231 4
 
0.8%
20040804 3
 
0.6%
20211221 3
 
0.6%
20221129 3
 
0.6%
20190729 3
 
0.6%
20000118 3
 
0.6%
20221130 3
 
0.6%
Other values (197) 223
43.4%
(Missing) 248
48.2%
ValueCountFrequency (%)
20000118 3
0.6%
20000821 1
 
0.2%
20011025 1
 
0.2%
20020401 1
 
0.2%
20021126 1
 
0.2%
20040204 1
 
0.2%
20040804 3
0.6%
20041108 1
 
0.2%
20051205 2
0.4%
20060404 1
 
0.2%
ValueCountFrequency (%)
20221230 1
 
0.2%
20221228 1
 
0.2%
20221222 1
 
0.2%
20221219 2
0.4%
20221207 1
 
0.2%
20221205 1
 
0.2%
20221201 2
0.4%
20221130 3
0.6%
20221129 3
0.6%
20221128 1
 
0.2%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)92.3%
Missing501
Missing (%)97.5%
Infinite0
Infinite (%)0.0%
Mean20186086
Minimum20020601
Maximum20221201
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-11T04:33:00.847523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20020601
5-th percentile20104618
Q120170329
median20210715
Q320220624
95-th percentile20221201
Maximum20221201
Range200600
Interquartile range (IQR)50295

Descriptive statistics

Standard deviation55653.524
Coefficient of variation (CV)0.0027570241
Kurtosis6.9946234
Mean20186086
Median Absolute Deviation (MAD)10486
Skewness-2.4590311
Sum2.6241912 × 108
Variance3.0973147 × 109
MonotonicityNot monotonic
2023-12-11T04:33:01.029269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
20221201 2
 
0.4%
20020601 1
 
0.2%
20161214 1
 
0.2%
20220324 1
 
0.2%
20220826 1
 
0.2%
20210715 1
 
0.2%
20220624 1
 
0.2%
20160629 1
 
0.2%
20200908 1
 
0.2%
20170428 1
 
0.2%
Other values (2) 2
 
0.4%
(Missing) 501
97.5%
ValueCountFrequency (%)
20020601 1
0.2%
20160629 1
0.2%
20161214 1
0.2%
20170329 1
0.2%
20170428 1
0.2%
20200908 1
0.2%
20210715 1
0.2%
20220115 1
0.2%
20220324 1
0.2%
20220624 1
0.2%
ValueCountFrequency (%)
20221201 2
0.4%
20220826 1
0.2%
20220624 1
0.2%
20220324 1
0.2%
20220115 1
0.2%
20210715 1
0.2%
20200908 1
0.2%
20170428 1
0.2%
20170329 1
0.2%
20161214 1
0.2%

휴업종료일자
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)100.0%
Missing503
Missing (%)97.9%
Infinite0
Infinite (%)0.0%
Mean20198170
Minimum20100817
Maximum20240701
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-11T04:33:01.211667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20100817
5-th percentile20131024
Q120170625
median20220731
Q320230725
95-th percentile20235966
Maximum20240701
Range139884
Interquartile range (IQR)60100

Descriptive statistics

Standard deviation42932.015
Coefficient of variation (CV)0.0021255398
Kurtosis1.2350379
Mean20198170
Median Absolute Deviation (MAD)19500
Skewness-1.2496473
Sum2.2217987 × 108
Variance1.8431579 × 109
MonotonicityNot monotonic
2023-12-11T04:33:01.769435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
20170222 1
 
0.2%
20221231 1
 
0.2%
20231230 1
 
0.2%
20230826 1
 
0.2%
20220731 1
 
0.2%
20240701 1
 
0.2%
20230624 1
 
0.2%
20100817 1
 
0.2%
20161231 1
 
0.2%
20201231 1
 
0.2%
(Missing) 503
97.9%
ValueCountFrequency (%)
20100817 1
0.2%
20161231 1
0.2%
20170222 1
0.2%
20171028 1
0.2%
20201231 1
0.2%
20220731 1
0.2%
20221231 1
0.2%
20230624 1
0.2%
20230826 1
0.2%
20231230 1
0.2%
ValueCountFrequency (%)
20240701 1
0.2%
20231230 1
0.2%
20230826 1
0.2%
20230624 1
0.2%
20221231 1
0.2%
20220731 1
0.2%
20201231 1
0.2%
20171028 1
0.2%
20170222 1
0.2%
20161231 1
0.2%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing514
Missing (%)100.0%
Memory size4.6 KiB

소재지전화
Text

MISSING 

Distinct314
Distinct (%)95.2%
Missing184
Missing (%)35.8%
Memory size4.1 KiB
2023-12-11T04:33:02.167149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length9.9484848
Min length8

Characters and Unicode

Total characters3283
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

Unique299 ?
Unique (%)90.6%

Sample

1st row963-0237
2nd row984-1100
3rd row982-1253
4th row941-4182
5th row964-5589
ValueCountFrequency (%)
0535259326 3
 
0.9%
0536388988 2
 
0.6%
0535921313 2
 
0.6%
0537460092 2
 
0.6%
0539615522 2
 
0.6%
0533252259 2
 
0.6%
0539512868 2
 
0.6%
0535220551 2
 
0.6%
0536359420 2
 
0.6%
0533811241 2
 
0.6%
Other values (304) 309
93.6%
2023-12-11T04:33:02.869377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 635
19.3%
3 587
17.9%
0 516
15.7%
1 260
7.9%
2 253
 
7.7%
6 242
 
7.4%
9 216
 
6.6%
8 212
 
6.5%
4 180
 
5.5%
7 168
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3269
99.6%
Dash Punctuation 14
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 635
19.4%
3 587
18.0%
0 516
15.8%
1 260
8.0%
2 253
 
7.7%
6 242
 
7.4%
9 216
 
6.6%
8 212
 
6.5%
4 180
 
5.5%
7 168
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3283
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 635
19.3%
3 587
17.9%
0 516
15.7%
1 260
7.9%
2 253
 
7.7%
6 242
 
7.4%
9 216
 
6.6%
8 212
 
6.5%
4 180
 
5.5%
7 168
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3283
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 635
19.3%
3 587
17.9%
0 516
15.7%
1 260
7.9%
2 253
 
7.7%
6 242
 
7.4%
9 216
 
6.6%
8 212
 
6.5%
4 180
 
5.5%
7 168
 
5.1%

소재지면적
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct296
Distinct (%)61.9%
Missing36
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean447.97975
Minimum0
Maximum96848
Zeros166
Zeros (%)32.3%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-11T04:33:03.155236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median96.335
Q3235.7625
95-th percentile672.9265
Maximum96848
Range96848
Interquartile range (IQR)235.7625

Descriptive statistics

Standard deviation4504.3148
Coefficient of variation (CV)10.054729
Kurtosis442.54401
Mean447.97975
Median Absolute Deviation (MAD)96.335
Skewness20.710575
Sum214134.32
Variance20288852
MonotonicityNot monotonic
2023-12-11T04:33:03.401826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 166
32.3%
100.0 3
 
0.6%
81.0 3
 
0.6%
401.94 2
 
0.4%
399.0 2
 
0.4%
360.0 2
 
0.4%
361.0 2
 
0.4%
76.0 2
 
0.4%
160.0 2
 
0.4%
181.0 2
 
0.4%
Other values (286) 292
56.8%
(Missing) 36
 
7.0%
ValueCountFrequency (%)
0.0 166
32.3%
4.4 1
 
0.2%
18.85 1
 
0.2%
19.41 1
 
0.2%
21.5 1
 
0.2%
29.7 1
 
0.2%
40.0 1
 
0.2%
47.65 1
 
0.2%
50.0 1
 
0.2%
50.76 1
 
0.2%
ValueCountFrequency (%)
96848.0 1
0.2%
12589.9 1
0.2%
9783.99 1
0.2%
8649.25 1
0.2%
3842.0 1
0.2%
2100.0 1
0.2%
1903.42 1
0.2%
1887.68 1
0.2%
1850.0 1
0.2%
1643.0 1
0.2%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct104
Distinct (%)70.3%
Missing366
Missing (%)71.2%
Infinite0
Infinite (%)0.0%
Mean704457.68
Minimum700424
Maximum711882
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-11T04:33:03.624889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700424
5-th percentile701140
Q1702220
median703815.5
Q3704930.25
95-th percentile711844
Maximum711882
Range11458
Interquartile range (IQR)2710.25

Descriptive statistics

Standard deviation3307.3162
Coefficient of variation (CV)0.0046948402
Kurtosis0.84833884
Mean704457.68
Median Absolute Deviation (MAD)1210.5
Skewness1.4045235
Sum1.0425974 × 108
Variance10938341
MonotonicityNot monotonic
2023-12-11T04:33:03.862450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
703833 7
 
1.4%
703830 5
 
1.0%
702815 4
 
0.8%
702030 4
 
0.8%
704900 4
 
0.8%
701140 4
 
0.8%
702210 3
 
0.6%
702290 3
 
0.6%
711844 2
 
0.4%
702805 2
 
0.4%
Other values (94) 110
 
21.4%
(Missing) 366
71.2%
ValueCountFrequency (%)
700424 1
 
0.2%
700847 1
 
0.2%
701015 1
 
0.2%
701110 2
0.4%
701140 4
0.8%
701150 1
 
0.2%
701180 1
 
0.2%
701210 1
 
0.2%
701230 1
 
0.2%
701250 2
0.4%
ValueCountFrequency (%)
711882 1
0.2%
711874 1
0.2%
711863 1
0.2%
711858 1
0.2%
711855 2
0.4%
711851 1
0.2%
711844 2
0.4%
711843 1
0.2%
711842 2
0.4%
711841 2
0.4%

소재지전체주소
Text

Distinct352
Distinct (%)68.5%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2023-12-11T04:33:04.314656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length38
Mean length18.48249
Min length1

Characters and Unicode

Total characters9500
Distinct characters152
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

Unique323 ?
Unique (%)62.8%

Sample

1st row대구광역시 동구 신서동 625-6 번지
2nd row대구광역시 동구 지저동 736-1 번지
3rd row대구광역시 동구 도동 8-1 번지
4th row대구광역시 동구 신암동 95-76 번지
5th row대구광역시 동구 용계동 878-55 번지
ValueCountFrequency (%)
대구광역시 378
 
19.2%
북구 108
 
5.5%
달성군 80
 
4.1%
동구 64
 
3.3%
1호 52
 
2.6%
달서구 47
 
2.4%
서구 43
 
2.2%
0호 38
 
1.9%
3호 28
 
1.4%
2호 28
 
1.4%
Other values (511) 1098
55.9%
2023-12-11T04:33:04.927712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2397
25.2%
구 683
 
7.2%
지 400
 
4.2%
대 393
 
4.1%
번 385
 
4.1%
시 379
 
4.0%
광 378
 
4.0%
역 378
 
4.0%
동 376
 
4.0%
1 367
 
3.9%
Other values (142) 3364
35.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5340
56.2%
Space Separator 2397
25.2%
Decimal Number 1732
 
18.2%
Dash Punctuation 21
 
0.2%
Other Punctuation 4
 
< 0.1%
Uppercase Letter 4
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 683
12.8%
지 400
 
7.5%
대 393
 
7.4%
번 385
 
7.2%
시 379
 
7.1%
광 378
 
7.1%
역 378
 
7.1%
동 376
 
7.0%
호 333
 
6.2%
달 140
 
2.6%
Other values (124) 1495
28.0%
Decimal Number
ValueCountFrequency (%)
1 367
21.2%
2 216
12.5%
3 190
11.0%
0 184
10.6%
6 143
 
8.3%
5 142
 
8.2%
4 131
 
7.6%
7 122
 
7.0%
9 121
 
7.0%
8 116
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 2
50.0%
, 2
50.0%
Uppercase Letter
ValueCountFrequency (%)
A 2
50.0%
B 2
50.0%
Space Separator
ValueCountFrequency (%)
2397
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5340
56.2%
Common 4156
43.7%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 683
12.8%
지 400
 
7.5%
대 393
 
7.4%
번 385
 
7.2%
시 379
 
7.1%
광 378
 
7.1%
역 378
 
7.1%
동 376
 
7.0%
호 333
 
6.2%
달 140
 
2.6%
Other values (124) 1495
28.0%
Common
ValueCountFrequency (%)
2397
57.7%
1 367
 
8.8%
2 216
 
5.2%
3 190
 
4.6%
0 184
 
4.4%
6 143
 
3.4%
5 142
 
3.4%
4 131
 
3.2%
7 122
 
2.9%
9 121
 
2.9%
Other values (6) 143
 
3.4%
Latin
ValueCountFrequency (%)
A 2
50.0%
B 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5340
56.2%
ASCII 4160
43.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2397
57.6%
1 367
 
8.8%
2 216
 
5.2%
3 190
 
4.6%
0 184
 
4.4%
6 143
 
3.4%
5 142
 
3.4%
4 131
 
3.1%
7 122
 
2.9%
9 121
 
2.9%
Other values (8) 147
 
3.5%
Hangul
ValueCountFrequency (%)
구 683
12.8%
지 400
 
7.5%
대 393
 
7.4%
번 385
 
7.2%
시 379
 
7.1%
광 378
 
7.1%
역 378
 
7.1%
동 376
 
7.0%
호 333
 
6.2%
달 140
 
2.6%
Other values (124) 1495
28.0%

도로명전체주소
Text

MISSING 

Distinct454
Distinct (%)91.5%
Missing18
Missing (%)3.5%
Memory size4.1 KiB
2023-12-11T04:33:05.519586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length40
Mean length24.91129
Min length19

Characters and Unicode

Total characters12356
Distinct characters198
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

Unique414 ?
Unique (%)83.5%

Sample

1st row대구광역시 수성구 만촌로1길 39 (만촌동)
2nd row대구광역시 달서구 용산큰못1길 60 (용산동)
3rd row대구광역시 달성군 옥포읍 반송3길 3
4th row대구광역시 달성군 화원읍 비슬로485길 50
5th row대구광역시 달성군 옥포읍 비슬로 2312-16
ValueCountFrequency (%)
대구광역시 496
 
19.8%
북구 155
 
6.2%
달성군 96
 
3.8%
달서구 71
 
2.8%
동구 66
 
2.6%
서구 62
 
2.5%
논공읍 25
 
1.0%
수성구 24
 
1.0%
다사읍 20
 
0.8%
노원동3가 19
 
0.8%
Other values (754) 1471
58.7%
2023-12-11T04:33:06.294607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2009
 
16.3%
구 932
 
7.5%
대 555
 
4.5%
동 526
 
4.3%
역 502
 
4.1%
시 502
 
4.1%
광 496
 
4.0%
1 452
 
3.7%
로 439
 
3.6%
) 401
 
3.2%
Other values (188) 5542
44.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7346
59.5%
Space Separator 2009
 
16.3%
Decimal Number 1954
 
15.8%
Close Punctuation 401
 
3.2%
Open Punctuation 401
 
3.2%
Dash Punctuation 187
 
1.5%
Other Punctuation 53
 
0.4%
Uppercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 932
 
12.7%
대 555
 
7.6%
동 526
 
7.2%
역 502
 
6.8%
시 502
 
6.8%
광 496
 
6.8%
로 439
 
6.0%
길 346
 
4.7%
달 203
 
2.8%
북 195
 
2.7%
Other values (170) 2650
36.1%
Decimal Number
ValueCountFrequency (%)
1 452
23.1%
2 285
14.6%
3 239
12.2%
4 192
9.8%
5 166
 
8.5%
6 163
 
8.3%
7 147
 
7.5%
0 120
 
6.1%
9 104
 
5.3%
8 86
 
4.4%
Other Punctuation
ValueCountFrequency (%)
, 51
96.2%
. 2
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
A 3
60.0%
B 2
40.0%
Space Separator
ValueCountFrequency (%)
2009
100.0%
Close Punctuation
ValueCountFrequency (%)
) 401
100.0%
Open Punctuation
ValueCountFrequency (%)
( 401
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 187
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7346
59.5%
Common 5005
40.5%
Latin 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 932
 
12.7%
대 555
 
7.6%
동 526
 
7.2%
역 502
 
6.8%
시 502
 
6.8%
광 496
 
6.8%
로 439
 
6.0%
길 346
 
4.7%
달 203
 
2.8%
북 195
 
2.7%
Other values (170) 2650
36.1%
Common
ValueCountFrequency (%)
2009
40.1%
1 452
 
9.0%
) 401
 
8.0%
( 401
 
8.0%
2 285
 
5.7%
3 239
 
4.8%
4 192
 
3.8%
- 187
 
3.7%
5 166
 
3.3%
6 163
 
3.3%
Other values (6) 510
 
10.2%
Latin
ValueCountFrequency (%)
A 3
60.0%
B 2
40.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7346
59.5%
ASCII 5010
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2009
40.1%
1 452
 
9.0%
) 401
 
8.0%
( 401
 
8.0%
2 285
 
5.7%
3 239
 
4.8%
4 192
 
3.8%
- 187
 
3.7%
5 166
 
3.3%
6 163
 
3.3%
Other values (8) 515
 
10.3%
Hangul
ValueCountFrequency (%)
구 932
 
12.7%
대 555
 
7.6%
동 526
 
7.2%
역 502
 
6.8%
시 502
 
6.8%
광 496
 
6.8%
로 439
 
6.0%
길 346
 
4.7%
달 203
 
2.8%
북 195
 
2.7%
Other values (170) 2650
36.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct158
Distinct (%)51.6%
Missing208
Missing (%)40.5%
Infinite0
Infinite (%)0.0%
Mean702436.9
Minimum42624
Maximum711882
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-11T04:33:06.485466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum42624
5-th percentile701245
Q1702815.25
median703824.5
Q3704935
95-th percentile711844
Maximum711882
Range669258
Interquartile range (IQR)2119.75

Descriptive statistics

Standard deviation37969.602
Coefficient of variation (CV)0.05405411
Kurtosis301.8886
Mean702436.9
Median Absolute Deviation (MAD)1022
Skewness-17.31604
Sum2.1494569 × 108
Variance1.4416906 × 109
MonotonicityNot monotonic
2023-12-11T04:33:06.699972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
703833 13
 
2.5%
703830 12
 
2.3%
704900 8
 
1.6%
702815 7
 
1.4%
701140 7
 
1.4%
702872 7
 
1.4%
702903 6
 
1.2%
703100 6
 
1.2%
702825 5
 
1.0%
702834 5
 
1.0%
Other values (148) 230
44.7%
(Missing) 208
40.5%
ValueCountFrequency (%)
42624 1
 
0.2%
700230 1
 
0.2%
700847 2
 
0.4%
701140 7
1.4%
701150 1
 
0.2%
701180 3
0.6%
701240 1
 
0.2%
701260 4
0.8%
701340 1
 
0.2%
701808 1
 
0.2%
ValueCountFrequency (%)
711882 2
0.4%
711874 2
0.4%
711858 2
0.4%
711856 2
0.4%
711855 4
0.8%
711851 2
0.4%
711845 1
 
0.2%
711844 2
0.4%
711843 1
 
0.2%
711842 2
0.4%

사업장명
Text

Distinct488
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2023-12-11T04:33:07.077431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19.5
Mean length6.1478599
Min length2

Characters and Unicode

Total characters3160
Distinct characters353
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

Unique464 ?
Unique (%)90.3%

Sample

1st row(주)정성원종합식품
2nd row세영종합식품
3rd row푸드팜
4th row대구유통
5th row부성종합식품
ValueCountFrequency (%)
주식회사 28
 
4.9%
농업회사법인 10
 
1.7%
주)국보푸드시스템 3
 
0.5%
세영종합식품 3
 
0.5%
주)진우식품 3
 
0.5%
주)송강유통 2
 
0.3%
food 2
 
0.3%
주)라자트푸드 2
 
0.3%
대영식품 2
 
0.3%
그린푸드 2
 
0.3%
Other values (497) 518
90.1%
2023-12-11T04:33:07.804365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 177
 
5.6%
주 163
 
5.2%
품 146
 
4.6%
) 138
 
4.4%
푸 138
 
4.4%
( 137
 
4.3%
드 135
 
4.3%
61
 
1.9%
사 56
 
1.8%
유 49
 
1.6%
Other values (343) 1960
62.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2733
86.5%
Close Punctuation 138
 
4.4%
Open Punctuation 137
 
4.3%
Uppercase Letter 75
 
2.4%
Space Separator 61
 
1.9%
Other Punctuation 9
 
0.3%
Lowercase Letter 5
 
0.2%
Decimal Number 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 177
 
6.5%
주 163
 
6.0%
품 146
 
5.3%
푸 138
 
5.0%
드 135
 
4.9%
사 56
 
2.0%
유 49
 
1.8%
회 48
 
1.8%
산 46
 
1.7%
통 45
 
1.6%
Other values (312) 1730
63.3%
Uppercase Letter
ValueCountFrequency (%)
S 12
16.0%
F 9
12.0%
D 8
10.7%
C 6
 
8.0%
B 5
 
6.7%
H 4
 
5.3%
J 4
 
5.3%
O 4
 
5.3%
G 4
 
5.3%
K 3
 
4.0%
Other values (9) 16
21.3%
Lowercase Letter
ValueCountFrequency (%)
b 1
20.0%
c 1
20.0%
d 1
20.0%
s 1
20.0%
f 1
20.0%
Other Punctuation
ValueCountFrequency (%)
& 5
55.6%
. 4
44.4%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
8 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 138
100.0%
Open Punctuation
ValueCountFrequency (%)
( 137
100.0%
Space Separator
ValueCountFrequency (%)
61
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2733
86.5%
Common 347
 
11.0%
Latin 80
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 177
 
6.5%
주 163
 
6.0%
품 146
 
5.3%
푸 138
 
5.0%
드 135
 
4.9%
사 56
 
2.0%
유 49
 
1.8%
회 48
 
1.8%
산 46
 
1.7%
통 45
 
1.6%
Other values (312) 1730
63.3%
Latin
ValueCountFrequency (%)
S 12
15.0%
F 9
11.2%
D 8
 
10.0%
C 6
 
7.5%
B 5
 
6.2%
H 4
 
5.0%
J 4
 
5.0%
O 4
 
5.0%
G 4
 
5.0%
K 3
 
3.8%
Other values (14) 21
26.2%
Common
ValueCountFrequency (%)
) 138
39.8%
( 137
39.5%
61
17.6%
& 5
 
1.4%
. 4
 
1.2%
1 1
 
0.3%
8 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2733
86.5%
ASCII 427
 
13.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 177
 
6.5%
주 163
 
6.0%
품 146
 
5.3%
푸 138
 
5.0%
드 135
 
4.9%
사 56
 
2.0%
유 49
 
1.8%
회 48
 
1.8%
산 46
 
1.7%
통 45
 
1.6%
Other values (312) 1730
63.3%
ASCII
ValueCountFrequency (%)
) 138
32.3%
( 137
32.1%
61
14.3%
S 12
 
2.8%
F 9
 
2.1%
D 8
 
1.9%
C 6
 
1.4%
B 5
 
1.2%
& 5
 
1.2%
H 4
 
0.9%
Other values (21) 42
 
9.8%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct514
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0181948 × 1013
Minimum2.0040308 × 1013
Maximum2.022123 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-11T04:33:08.049078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0040308 × 1013
5-th percentile2.007043 × 1013
Q12.0161218 × 1013
median2.0191224 × 1013
Q32.0211107 × 1013
95-th percentile2.0221111 × 1013
Maximum2.022123 × 1013
Range1.8092204 × 1011
Interquartile range (IQR)4.9888511 × 1010

Descriptive statistics

Standard deviation4.3925269 × 1010
Coefficient of variation (CV)0.0021764633
Kurtosis2.4130273
Mean2.0181948 × 1013
Median Absolute Deviation (MAD)2.0156068 × 1010
Skewness-1.7124343
Sum1.0373521 × 1016
Variance1.9294292 × 1021
MonotonicityNot monotonic
2023-12-11T04:33:08.297045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20040309113517 1
 
0.2%
20201214103546 1
 
0.2%
20200819163351 1
 
0.2%
20160108095545 1
 
0.2%
20221130165101 1
 
0.2%
20210223101451 1
 
0.2%
20221201161349 1
 
0.2%
20180619150205 1
 
0.2%
20191224170501 1
 
0.2%
20190312111727 1
 
0.2%
Other values (504) 504
98.1%
ValueCountFrequency (%)
20040308131215 1
0.2%
20040308145200 1
0.2%
20040308151033 1
0.2%
20040308153014 1
0.2%
20040308153520 1
0.2%
20040308154639 1
0.2%
20040309103412 1
0.2%
20040309113517 1
0.2%
20040319085420 1
0.2%
20040319085800 1
0.2%
ValueCountFrequency (%)
20221230172815 1
0.2%
20221228154249 1
0.2%
20221228110159 1
0.2%
20221226163117 1
0.2%
20221222183715 1
0.2%
20221219100545 1
0.2%
20221219100029 1
0.2%
20221208143338 1
0.2%
20221207161327 1
0.2%
20221205165601 1
0.2%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
U
297 
I
217 

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 (%)
U 297
57.8%
I 217
42.2%

Length

2023-12-11T04:33:08.531705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:33:08.705534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 297
57.8%
i 217
42.2%

데이터갱신일자
Date

Distinct248
Distinct (%)48.2%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
Minimum2018-08-31 23:59:59
Maximum2023-01-01 02:40:00
2023-12-11T04:33:08.881040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:33:09.150132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
식육가공업
488 
유가공업
 
14
알가공업
 
12

Length

Max length5
Median length5
Mean length4.9494163
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row식육가공업
2nd row식육가공업
3rd row식육가공업
4th row알가공업
5th row식육가공업

Common Values

ValueCountFrequency (%)
식육가공업 488
94.9%
유가공업 14
 
2.7%
알가공업 12
 
2.3%

Length

2023-12-11T04:33:09.372641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:33:09.516346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육가공업 488
94.9%
유가공업 14
 
2.7%
알가공업 12
 
2.3%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct416
Distinct (%)87.6%
Missing39
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean340970.45
Minimum326032.48
Maximum358511.63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-11T04:33:09.691975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum326032.48
5-th percentile330460.29
Q1337287.8
median340349.01
Q3344776.37
95-th percentile353092.49
Maximum358511.63
Range32479.149
Interquartile range (IQR)7488.5759

Descriptive statistics

Standard deviation6374.1918
Coefficient of variation (CV)0.018694265
Kurtosis-0.17616215
Mean340970.45
Median Absolute Deviation (MAD)4043.4654
Skewness0.29865947
Sum1.6196096 × 108
Variance40630321
MonotonicityNot monotonic
2023-12-11T04:33:09.930445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
336398.016152883 4
 
0.8%
344106.005223133 3
 
0.6%
340465.502742662 3
 
0.6%
344595.865563025 3
 
0.6%
345440.217334515 3
 
0.6%
345549.639708693 3
 
0.6%
337298.590886867 3
 
0.6%
340349.011621454 3
 
0.6%
340874.310041242 2
 
0.4%
331541.808474754 2
 
0.4%
Other values (406) 446
86.8%
(Missing) 39
 
7.6%
ValueCountFrequency (%)
326032.481594907 1
0.2%
327486.570257858 2
0.4%
328123.78046325 1
0.2%
328237.006988233 1
0.2%
328396.070218833 1
0.2%
328747.35689848 1
0.2%
328766.412492626 1
0.2%
329001.868578366 1
0.2%
329081.425720929 1
0.2%
329156.232167466 1
0.2%
ValueCountFrequency (%)
358511.630306193 1
0.2%
356477.570167987 1
0.2%
356472.230524899 1
0.2%
356305.740016978 1
0.2%
355759.732189789 1
0.2%
355513.721108473 1
0.2%
355254.243981969 1
0.2%
355064.824016876 1
0.2%
354955.161770617 1
0.2%
354561.486965292 2
0.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct416
Distinct (%)87.6%
Missing39
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean263600.92
Minimum239193.19
Maximum274637.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-11T04:33:10.171033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum239193.19
5-th percentile250586.28
Q1260662.53
median265110.1
Q3267464.76
95-th percentile271810.24
Maximum274637.22
Range35444.022
Interquartile range (IQR)6802.2282

Descriptive statistics

Standard deviation6119.6408
Coefficient of variation (CV)0.023215551
Kurtosis1.8776208
Mean263600.92
Median Absolute Deviation (MAD)3009.1607
Skewness-1.2277539
Sum1.2521044 × 108
Variance37450003
MonotonicityNot monotonic
2023-12-11T04:33:10.397277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
260311.428494633 4
 
0.8%
268119.263815917 3
 
0.6%
259526.429642653 3
 
0.6%
268274.713887583 3
 
0.6%
269224.163280011 3
 
0.6%
268252.175254865 3
 
0.6%
257570.015887625 3
 
0.6%
266233.497337615 3
 
0.6%
267171.743050002 2
 
0.4%
249475.583993608 2
 
0.4%
Other values (406) 446
86.8%
(Missing) 39
 
7.6%
ValueCountFrequency (%)
239193.193196123 1
0.2%
239536.919741222 1
0.2%
242313.644674073 1
0.2%
242366.866001439 1
0.2%
243049.515883486 1
0.2%
243993.782732761 1
0.2%
244518.668327961 1
0.2%
244607.915396304 2
0.4%
244727.739970859 1
0.2%
245608.948143806 1
0.2%
ValueCountFrequency (%)
274637.215015583 1
0.2%
274423.229897611 1
0.2%
274001.578647157 1
0.2%
273806.472554519 1
0.2%
273672.145236462 1
0.2%
273353.135751791 1
0.2%
273295.763942308 1
0.2%
273220.608260655 1
0.2%
273124.515306751 1
0.2%
273085.155488338 1
0.2%

축산업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
축산물가공업
514 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
축산물가공업 514
100.0%

Length

2023-12-11T04:33:10.600766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:33:10.741734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산물가공업 514
100.0%

축산물가공업구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
식육가공업
488 
유가공업
 
14
알가공업
 
12

Length

Max length5
Median length5
Mean length4.9494163
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row식육가공업
2nd row식육가공업
3rd row식육가공업
4th row알가공업
5th row식육가공업

Common Values

ValueCountFrequency (%)
식육가공업 488
94.9%
유가공업 14
 
2.7%
알가공업 12
 
2.3%

Length

2023-12-11T04:33:10.878173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:33:11.001049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육가공업 488
94.9%
유가공업 14
 
2.7%
알가공업 12
 
2.3%

축산일련번호
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
<NA>
369 
0
145 

Length

Max length4
Median length4
Mean length3.1536965
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 369
71.8%
0 145
 
28.2%

Length

2023-12-11T04:33:11.152416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:33:11.304153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 369
71.8%
0 145
 
28.2%

권리주체일련번호
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
000
352 
L00
162 

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 (%)
000 352
68.5%
L00 162
31.5%

Length

2023-12-11T04:33:11.447058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:33:11.567905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 352
68.5%
l00 162
31.5%

총직원수
Real number (ℝ)

MISSING  ZEROS 

Distinct29
Distinct (%)5.9%
Missing24
Missing (%)4.7%
Infinite0
Infinite (%)0.0%
Mean2.2612245
Minimum0
Maximum121
Zeros386
Zeros (%)75.1%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-11T04:33:11.671186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile9.55
Maximum121
Range121
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.363788
Coefficient of variation (CV)4.5832637
Kurtosis73.218389
Mean2.2612245
Median Absolute Deviation (MAD)0
Skewness8.0310584
Sum1108
Variance107.4081
MonotonicityNot monotonic
2023-12-11T04:33:12.173828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 386
75.1%
2 22
 
4.3%
4 15
 
2.9%
1 14
 
2.7%
3 10
 
1.9%
5 9
 
1.8%
7 4
 
0.8%
11 4
 
0.8%
13 3
 
0.6%
6 2
 
0.4%
Other values (19) 21
 
4.1%
(Missing) 24
 
4.7%
ValueCountFrequency (%)
0 386
75.1%
1 14
 
2.7%
2 22
 
4.3%
3 10
 
1.9%
4 15
 
2.9%
5 9
 
1.8%
6 2
 
0.4%
7 4
 
0.8%
8 1
 
0.2%
9 2
 
0.4%
ValueCountFrequency (%)
121 1
0.2%
99 1
0.2%
93 1
0.2%
88 1
0.2%
57 1
0.2%
41 1
0.2%
39 1
0.2%
37 1
0.2%
35 1
0.2%
27 1
0.2%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총직원수
01축산가공업07_22_05_P342000034200000042003000420030225<NA>1영업/정상0정상<NA><NA><NA><NA>963-02370.0<NA>대구광역시 동구 신서동 625-6 번지<NA><NA>(주)정성원종합식품20040309113517I2018-08-31 23:59:59.0식육가공업<NA><NA>축산물가공업식육가공업<NA>000<NA>
12축산가공업07_22_05_P342000034200000042003000320031208<NA>1영업/정상0정상<NA><NA><NA><NA>984-11000.0<NA>대구광역시 동구 지저동 736-1 번지<NA><NA>세영종합식품20040308153520I2018-08-31 23:59:59.0식육가공업<NA><NA>축산물가공업식육가공업<NA>000<NA>
23축산가공업07_22_05_P342000034200000042003000220030715<NA>1영업/정상0정상<NA><NA><NA><NA>982-12530.0<NA>대구광역시 동구 도동 8-1 번지<NA><NA>푸드팜20040308153014I2018-08-31 23:59:59.0식육가공업<NA><NA>축산물가공업식육가공업<NA>000<NA>
34축산가공업07_22_05_P342000034200000042002000220020422<NA>1영업/정상0정상<NA><NA><NA><NA>941-41820.0<NA>대구광역시 동구 신암동 95-76 번지<NA><NA>대구유통20040308151033I2018-08-31 23:59:59.0알가공업<NA><NA>축산물가공업알가공업<NA>000<NA>
45축산가공업07_22_05_P342000034200000042002000120020319<NA>1영업/정상0정상<NA><NA><NA><NA>964-55890.0<NA>대구광역시 동구 용계동 878-55 번지<NA><NA>부성종합식품20040308145200I2018-08-31 23:59:59.0식육가공업<NA><NA>축산물가공업식육가공업<NA>000<NA>
56축산가공업07_22_05_P342000034200000042000000320000922<NA>1영업/정상0정상<NA><NA><NA><NA>961-11720.0<NA>대구광역시 동구 신기동 118-2 번지<NA><NA>(주)청담원20040308154639I2018-08-31 23:59:59.0식육가공업<NA><NA>축산물가공업식육가공업<NA>000<NA>
67축산가공업07_22_05_P342000034200000041999000119990219<NA>1영업/정상0정상<NA><NA><NA><NA>964-05670.0<NA>대구광역시 동구 동호동 109-1 번지<NA><NA>(주)춘광냉동종합식품20040308131215I2018-08-31 23:59:59.0유가공업<NA><NA>축산물가공업유가공업<NA>000<NA>
78축산가공업07_22_05_P342000034200000042000000420001010<NA>2휴업1휴업<NA>20020601<NA><NA><NA>0.0<NA>대구광역시 동구 율암동 363-3 번지<NA><NA>(주)두현후레쉬20040309103412I2018-08-31 23:59:59.0식육가공업<NA><NA>축산물가공업식육가공업<NA>000<NA>
89축산가공업07_22_05_P346000034600000042000000120000626<NA>1영업/정상0정상<NA><NA><NA><NA>811-82240.0<NA>대구광역시 수성구 사월동 37-1 번지<NA><NA>계림물산20040319085420I2018-08-31 23:59:59.0식육가공업<NA><NA>축산물가공업식육가공업<NA>000<NA>
910축산가공업07_22_05_P346000034600000042003000220030324<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>대구광역시 수성구 중동 532-176 번지<NA><NA>하나식품20040319085939I2018-08-31 23:59:59.0식육가공업<NA><NA>축산물가공업식육가공업<NA>000<NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총직원수
504505축산가공업07_22_05_P627000062700000042015001320150716<NA>4취소/말소/만료/정지/중지4말소20200707<NA><NA><NA>053252201083.5<NA>대구광역시 동구 신암동 1298번지 36호 양지아파트 상가 102호대구광역시 동구 신암로12길 7, 102호 (신암동,양지아파트상가)701817림스영남지사20200710104927U2020-07-12 02:40:00.0식육가공업345120.002507265256.767248축산물가공업식육가공업<NA>0000
505506축산가공업07_22_05_P627000062700000042016001220160629<NA>4취소/말소/만료/정지/중지4말소20220225<NA><NA><NA><NA>86.0<NA>대구광역시 동구 신서동 579번지 11호대구광역시 동구 금강로16길 41-2 (신서동)<NA>미더움푸드20220225111333U2022-02-27 02:40:00.0식육가공업356477.570168264060.473862축산물가공업식육가공업00000
506507축산가공업07_22_05_P627000062700000042015002320160824<NA>4취소/말소/만료/정지/중지4말소20210510<NA><NA><NA><NA>294.0<NA>대구광역시 북구 노원동3가 714번지대구광역시 북구 팔달북로 19 (노원동3가)<NA>(주)혜성축산20210608132521U2021-06-10 02:40:00.0식육가공업341064.263649266817.406917축산물가공업식육가공업<NA>L000
507508축산가공업07_22_05_P627000062700000042004000520040524<NA>4취소/말소/만료/정지/중지4말소20181126<NA><NA><NA>05332221930.0702210대구광역시 북구 학정동 879번지 1호대구광역시 북구 구리로1길 2-1 (학정동)702911다다식품20190207171927U2019-02-09 02:40:00.0알가공업340392.757474272955.150012축산물가공업알가공업<NA>0000
508509축산가공업07_22_05_P627000062700000042001000220010810<NA>4취소/말소/만료/정지/중지4말소20191022<NA><NA><NA>0533823690277.76702030대구광역시 북구 검단동 582번지 7호대구광역시 북구 유통단지로7길 111 (검단동)702801구들장식품(주)20191023104509U2019-10-25 02:40:00.0식육가공업345612.619723269220.628528축산물가공업식육가공업<NA>L007
509510축산가공업07_22_05_P627000062700000042004000320041118<NA>4취소/말소/만료/정지/중지4말소20190529<NA><NA><NA>05355349980.0703014대구광역시 서구 평리동 1353번지 4호대구광역시 서구 서대구로18길 11 (평리동)703847동남유통20190715104822U2019-07-17 02:40:00.0식육가공업340584.955496263968.466182축산물가공업식육가공업<NA>0001
510511축산가공업07_22_05_P627000062700000042009000620090429<NA>4취소/말소/만료/정지/중지4말소20190529<NA><NA><NA>0535238235218.75704807대구광역시 달서구 본동 980번지대구광역시 달서구 와룡로4길 12 (본동)704807내장산총체보리한우영농조합법인20190715105035U2019-07-17 02:40:00.0식육가공업338913.356872260442.064585축산물가공업식육가공업<NA>L000
511512축산가공업07_22_05_P627000062700000042013002320130605<NA>4취소/말소/만료/정지/중지4말소20210510<NA><NA><NA><NA>0.0<NA>대구광역시 북구 노원동2가 301번지대구광역시 북구 노원로10길 74, 1층 (노원동2가)702812(주)더푸드20210608132207U2021-06-10 02:40:00.0식육가공업341819.539876266780.313841축산물가공업식육가공업<NA>L000
512513축산가공업07_22_05_P627000062700000042013006820131111<NA>4취소/말소/만료/정지/중지4말소20220225<NA><NA><NA>05331199190.0<NA>대구광역시 북구 팔달북로3길 10 (노원동3가)702816지유식품20220225110827U2022-02-27 02:40:00.0식육가공업341084.925124266755.740515축산물가공업식육가공업00000
513514축산가공업07_22_05_P627000062700000042017001420170609<NA>4취소/말소/만료/정지/중지4말소20210510<NA><NA><NA><NA>113.0<NA>대구광역시 수성구 범어동 134번지 1호대구광역시 수성구 국채보상로 926, 지하1층 (범어동)<NA>천사식품20210514072443U2021-05-16 02:40:00.0식육가공업347318.439758264203.917969축산물가공업식육가공업<NA>0000