Overview

Dataset statistics

Number of variables33
Number of observations506
Missing cells3152
Missing cells (%)18.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory140.0 KiB
Average record size in memory283.3 B

Variable types

Numeric13
Categorical13
Unsupported2
Text4
DateTime1

Dataset

Description22년06월_6270000_대구광역시_07_22_05_P_축산가공업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000093750&dataSetDetailId=DDI_0000093780&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
축산업무구분명 has constant value ""Constant
개방자치단체코드 is highly imbalanced (84.6%)Imbalance
업태구분명 is highly imbalanced (78.3%)Imbalance
축산물가공업구분명 is highly imbalanced (78.3%)Imbalance
인허가취소일자 has 506 (100.0%) missing valuesMissing
폐업일자 has 268 (53.0%) missing valuesMissing
휴업시작일자 has 497 (98.2%) missing valuesMissing
휴업종료일자 has 498 (98.4%) missing valuesMissing
재개업일자 has 506 (100.0%) missing valuesMissing
소재지전화 has 177 (35.0%) missing valuesMissing
소재지면적 has 34 (6.7%) missing valuesMissing
소재지우편번호 has 358 (70.8%) missing valuesMissing
도로명전체주소 has 18 (3.6%) missing valuesMissing
도로명우편번호 has 200 (39.5%) missing valuesMissing
좌표정보(X) has 33 (6.5%) missing valuesMissing
좌표정보(Y) has 33 (6.5%) missing valuesMissing
총종업원수 has 24 (4.7%) missing valuesMissing
소재지면적 is highly skewed (γ1 = 20.58467388)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 165 (32.6%) zerosZeros
총종업원수 has 385 (76.1%) zerosZeros

Reproduction

Analysis started2023-12-10 18:08:55.011600
Analysis finished2023-12-10 18:08:56.231972
Duration1.22 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct506
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean253.5
Minimum1
Maximum506
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-11T03:08:56.350758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile26.25
Q1127.25
median253.5
Q3379.75
95-th percentile480.75
Maximum506
Range505
Interquartile range (IQR)252.5

Descriptive statistics

Standard deviation146.21388
Coefficient of variation (CV)0.57678061
Kurtosis-1.2
Mean253.5
Median Absolute Deviation (MAD)126.5
Skewness0
Sum128271
Variance21378.5
MonotonicityStrictly increasing
2023-12-11T03:08:56.606028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
334 1
 
0.2%
347 1
 
0.2%
346 1
 
0.2%
345 1
 
0.2%
344 1
 
0.2%
343 1
 
0.2%
342 1
 
0.2%
341 1
 
0.2%
340 1
 
0.2%
Other values (496) 496
98.0%
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 (%)
506 1
0.2%
505 1
0.2%
504 1
0.2%
503 1
0.2%
502 1
0.2%
501 1
0.2%
500 1
0.2%
499 1
0.2%
498 1
0.2%
497 1
0.2%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
축산가공업
506 

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 506
100.0%

Length

2023-12-11T03:08:56.836715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:08:57.018246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산가공업 506
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
07_22_05_P
506 

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 506
100.0%

Length

2023-12-11T03:08:57.175658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:08:57.341670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_05_p 506
100.0%

개방자치단체코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
6270000
482 
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 482
95.3%
3480000 10
 
2.0%
3420000 8
 
1.6%
3460000 5
 
1.0%
3470000 1
 
0.2%

Length

2023-12-11T03:08:57.501783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:08:57.698773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6270000 482
95.3%
3480000 10
 
2.0%
3420000 8
 
1.6%
3460000 5
 
1.0%
3470000 1
 
0.2%

관리번호
Real number (ℝ)

UNIQUE 

Distinct506
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.136502 × 1017
Minimum3.42 × 1017
Maximum6.27 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-11T03:08:57.937769image/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)80000

Descriptive statistics

Standard deviation5.9888297 × 1016
Coefficient of variation (CV)0.097593543
Kurtosis16.313189
Mean6.136502 × 1017
Median Absolute Deviation (MAD)39936
Skewness-4.2716148
Sum-3.087649 × 1018
Variance3.5866081 × 1033
MonotonicityNot monotonic
2023-12-11T03:08:58.191044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
342000000420030004 1
 
0.2%
627000000420060010 1
 
0.2%
627000000420120010 1
 
0.2%
627000000420120009 1
 
0.2%
627000000420120008 1
 
0.2%
627000000420120005 1
 
0.2%
627000000420120004 1
 
0.2%
627000000420120003 1
 
0.2%
627000000420120002 1
 
0.2%
627000000420110019 1
 
0.2%
Other values (496) 496
98.0%
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 (%)
627000000420220012 1
0.2%
627000000420220011 1
0.2%
627000000420220010 1
0.2%
627000000420220009 1
0.2%
627000000420220008 1
0.2%
627000000420220007 1
0.2%
627000000420220006 1
0.2%
627000000420220005 1
0.2%
627000000420220004 1
0.2%
627000000420220003 1
0.2%

인허가일자
Real number (ℝ)

Distinct400
Distinct (%)79.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20119271
Minimum19850629
Maximum20220630
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-11T03:08:58.455997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19850629
5-th percentile19983164
Q120090228
median20131029
Q320161192
95-th percentile20210419
Maximum20220630
Range370001
Interquartile range (IQR)70964

Descriptive statistics

Standard deviation65757.368
Coefficient of variation (CV)0.0032683772
Kurtosis0.65040736
Mean20119271
Median Absolute Deviation (MAD)39338.5
Skewness-0.91106565
Sum1.0180351 × 1010
Variance4.3240315 × 109
MonotonicityNot monotonic
2023-12-11T03:08:58.727088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20131029 12
 
2.4%
20131101 9
 
1.8%
20170117 5
 
1.0%
20131030 4
 
0.8%
20140129 4
 
0.8%
20131212 3
 
0.6%
20061201 3
 
0.6%
20131111 3
 
0.6%
20131012 3
 
0.6%
20120814 3
 
0.6%
Other values (390) 457
90.3%
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 (%)
20220630 1
0.2%
20220524 1
0.2%
20220404 2
0.4%
20220321 1
0.2%
20220304 1
0.2%
20220302 1
0.2%
20220217 1
0.2%
20220117 1
0.2%
20220111 1
0.2%
20220106 1
0.2%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing506
Missing (%)100.0%
Memory size4.6 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
1
262 
3
215 
4
 
24
2
 
5

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 (%)
1 262
51.8%
3 215
42.5%
4 24
 
4.7%
2 5
 
1.0%

Length

2023-12-11T03:08:58.956410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:08:59.131194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 262
51.8%
3 215
42.5%
4 24
 
4.7%
2 5
 
1.0%

영업상태명
Categorical

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
영업/정상
262 
폐업
215 
취소/말소/만료/정지/중지
 
24
휴업
 
5

Length

Max length14
Median length5
Mean length4.1225296
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 (%)
영업/정상 262
51.8%
폐업 215
42.5%
취소/말소/만료/정지/중지 24
 
4.7%
휴업 5
 
1.0%

Length

2023-12-11T03:08:59.361155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:08:59.563456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 262
51.8%
폐업 215
42.5%
취소/말소/만료/정지/중지 24
 
4.7%
휴업 5
 
1.0%

상세영업상태코드
Categorical

Distinct5
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
0
262 
2
215 
4
 
22
1
 
5
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 (%)
0 262
51.8%
2 215
42.5%
4 22
 
4.3%
1 5
 
1.0%
3 2
 
0.4%

Length

2023-12-11T03:08:59.765897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:08:59.949437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 262
51.8%
2 215
42.5%
4 22
 
4.3%
1 5
 
1.0%
3 2
 
0.4%

상세영업상태명
Categorical

Distinct5
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
정상
262 
폐업
215 
말소
 
22
휴업
 
5
인허가취소
 
2

Length

Max length5
Median length2
Mean length2.0118577
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 262
51.8%
폐업 215
42.5%
말소 22
 
4.3%
휴업 5
 
1.0%
인허가취소 2
 
0.4%

Length

2023-12-11T03:09:00.167055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:09:00.353727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 262
51.8%
폐업 215
42.5%
말소 22
 
4.3%
휴업 5
 
1.0%
인허가취소 2
 
0.4%

폐업일자
Real number (ℝ)

MISSING 

Distinct186
Distinct (%)78.2%
Missing268
Missing (%)53.0%
Infinite0
Infinite (%)0.0%
Mean20166551
Minimum20000118
Maximum20220620
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-11T03:09:00.578318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20000118
5-th percentile20049690
Q120150404
median20190308
Q320201126
95-th percentile20220216
Maximum20220620
Range220502
Interquartile range (IQR)50722.25

Descriptive statistics

Standard deviation52531.905
Coefficient of variation (CV)0.0026049028
Kurtosis1.4270781
Mean20166551
Median Absolute Deviation (MAD)20707
Skewness-1.4499981
Sum4.7996392 × 109
Variance2.7596011 × 109
MonotonicityNot monotonic
2023-12-11T03:09:00.838687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190801 10
 
2.0%
20220225 6
 
1.2%
20210510 5
 
1.0%
20141231 4
 
0.8%
20000118 3
 
0.6%
20040804 3
 
0.6%
20190529 3
 
0.6%
20190729 3
 
0.6%
20211221 3
 
0.6%
20190610 2
 
0.4%
Other values (176) 196
38.7%
(Missing) 268
53.0%
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 (%)
20220620 1
 
0.2%
20220609 1
 
0.2%
20220503 1
 
0.2%
20220415 1
 
0.2%
20220411 1
 
0.2%
20220406 1
 
0.2%
20220225 6
1.2%
20220214 1
 
0.2%
20220210 1
 
0.2%
20220203 1
 
0.2%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)100.0%
Missing497
Missing (%)98.2%
Infinite0
Infinite (%)0.0%
Mean20170641
Minimum20020601
Maximum20220624
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-11T03:09:01.046231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20020601
5-th percentile20076612
Q120161214
median20170428
Q320210715
95-th percentile20220504
Maximum20220624
Range200023
Interquartile range (IQR)49501

Descriptive statistics

Standard deviation61430.825
Coefficient of variation (CV)0.0030455564
Kurtosis5.2573172
Mean20170641
Median Absolute Deviation (MAD)30480
Skewness-2.1074924
Sum1.8153577 × 108
Variance3.7737463 × 109
MonotonicityNot monotonic
2023-12-11T03:09:01.267343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
20020601 1
 
0.2%
20161214 1
 
0.2%
20220324 1
 
0.2%
20200908 1
 
0.2%
20210715 1
 
0.2%
20220624 1
 
0.2%
20160629 1
 
0.2%
20170428 1
 
0.2%
20170329 1
 
0.2%
(Missing) 497
98.2%
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%
20220324 1
0.2%
20220624 1
0.2%
ValueCountFrequency (%)
20220624 1
0.2%
20220324 1
0.2%
20210715 1
0.2%
20200908 1
0.2%
20170428 1
0.2%
20170329 1
0.2%
20161214 1
0.2%
20160629 1
0.2%
20020601 1
0.2%

휴업종료일자
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing498
Missing (%)98.4%
Infinite0
Infinite (%)0.0%
Mean20184639
Minimum20100817
Maximum20230624
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-11T03:09:01.499186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20100817
5-th percentile20121962
Q120167974
median20186130
Q320220856
95-th percentile20227336
Maximum20230624
Range129807
Interquartile range (IQR)52881.75

Descriptive statistics

Standard deviation43092.414
Coefficient of variation (CV)0.0021349113
Kurtosis0.84515957
Mean20184639
Median Absolute Deviation (MAD)29750
Skewness-0.97470948
Sum1.6147712 × 108
Variance1.8569561 × 109
MonotonicityNot monotonic
2023-12-11T03:09:01.741281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
20170222 1
 
0.2%
20221231 1
 
0.2%
20201231 1
 
0.2%
20220731 1
 
0.2%
20230624 1
 
0.2%
20100817 1
 
0.2%
20161231 1
 
0.2%
20171028 1
 
0.2%
(Missing) 498
98.4%
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%
ValueCountFrequency (%)
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%
20100817 1
0.2%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing506
Missing (%)100.0%
Memory size4.6 KiB

소재지전화
Text

MISSING 

Distinct313
Distinct (%)95.1%
Missing177
Missing (%)35.0%
Memory size4.1 KiB
2023-12-11T03:09:02.233257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length9.9483283
Min length8

Characters and Unicode

Total characters3273
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

Unique298 ?
Unique (%)90.6%

Sample

1st row963-0237
2nd row984-1100
3rd row982-1253
4th row941-4182
5th row964-5589
ValueCountFrequency (%)
0535259326 3
 
0.9%
0535220551 2
 
0.6%
0536388988 2
 
0.6%
0537460092 2
 
0.6%
0533811241 2
 
0.6%
0533419214 2
 
0.6%
0533252259 2
 
0.6%
0536359420 2
 
0.6%
0539615522 2
 
0.6%
0535582345 2
 
0.6%
Other values (303) 308
93.6%
2023-12-11T03:09:02.995199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 637
19.5%
3 584
17.8%
0 515
15.7%
1 260
7.9%
2 252
 
7.7%
6 235
 
7.2%
9 216
 
6.6%
8 215
 
6.6%
4 180
 
5.5%
7 165
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3259
99.6%
Dash Punctuation 14
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 637
19.5%
3 584
17.9%
0 515
15.8%
1 260
8.0%
2 252
 
7.7%
6 235
 
7.2%
9 216
 
6.6%
8 215
 
6.6%
4 180
 
5.5%
7 165
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3273
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 637
19.5%
3 584
17.8%
0 515
15.7%
1 260
7.9%
2 252
 
7.7%
6 235
 
7.2%
9 216
 
6.6%
8 215
 
6.6%
4 180
 
5.5%
7 165
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3273
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 637
19.5%
3 584
17.8%
0 515
15.7%
1 260
7.9%
2 252
 
7.7%
6 235
 
7.2%
9 216
 
6.6%
8 215
 
6.6%
4 180
 
5.5%
7 165
 
5.0%

소재지면적
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct292
Distinct (%)61.9%
Missing34
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean449.78252
Minimum0
Maximum96848
Zeros165
Zeros (%)32.6%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-11T03:09:03.290896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median95.425
Q3236.78
95-th percentile654.6
Maximum96848
Range96848
Interquartile range (IQR)236.78

Descriptive statistics

Standard deviation4532.5558
Coefficient of variation (CV)10.077216
Kurtosis437.11575
Mean449.78252
Median Absolute Deviation (MAD)95.425
Skewness20.584674
Sum212297.35
Variance20544062
MonotonicityNot monotonic
2023-12-11T03:09:03.595598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 165
32.6%
81.0 3
 
0.6%
100.0 3
 
0.6%
401.94 2
 
0.4%
294.0 2
 
0.4%
399.0 2
 
0.4%
360.0 2
 
0.4%
181.0 2
 
0.4%
76.0 2
 
0.4%
195.0 2
 
0.4%
Other values (282) 287
56.7%
(Missing) 34
 
6.7%
ValueCountFrequency (%)
0.0 165
32.6%
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%
48.18 1
 
0.2%
50.0 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%
Missing358
Missing (%)70.8%
Infinite0
Infinite (%)0.0%
Mean704457.68
Minimum700424
Maximum711882
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-11T03:09:03.893611image/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
2023-12-11T03:09:04.564609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
703833 7
 
1.4%
703830 5
 
1.0%
701140 4
 
0.8%
704900 4
 
0.8%
702030 4
 
0.8%
702815 4
 
0.8%
702290 3
 
0.6%
702210 3
 
0.6%
711833 2
 
0.4%
711841 2
 
0.4%
Other values (94) 110
 
21.7%
(Missing) 358
70.8%
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

Distinct346
Distinct (%)68.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2023-12-11T03:09:05.007812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length38
Mean length18.332016
Min length1

Characters and Unicode

Total characters9276
Distinct characters151
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

Unique320 ?
Unique (%)63.2%

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 369
 
19.3%
북구 104
 
5.4%
달성군 77
 
4.0%
동구 63
 
3.3%
1호 49
 
2.6%
달서구 46
 
2.4%
서구 43
 
2.2%
0호 35
 
1.8%
3호 27
 
1.4%
2호 27
 
1.4%
Other values (505) 1076
56.2%
2023-12-11T03:09:05.706194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2344
25.3%
구 668
 
7.2%
지 390
 
4.2%
대 385
 
4.2%
번 376
 
4.1%
시 370
 
4.0%
광 369
 
4.0%
역 369
 
4.0%
동 369
 
4.0%
1 357
 
3.8%
Other values (141) 3279
35.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5209
56.2%
Space Separator 2344
25.3%
Decimal Number 1692
 
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 668
12.8%
지 390
 
7.5%
대 385
 
7.4%
번 376
 
7.2%
시 370
 
7.1%
광 369
 
7.1%
역 369
 
7.1%
동 369
 
7.1%
호 324
 
6.2%
달 136
 
2.6%
Other values (123) 1453
27.9%
Decimal Number
ValueCountFrequency (%)
1 357
21.1%
2 210
12.4%
3 186
11.0%
0 180
10.6%
6 141
 
8.3%
5 140
 
8.3%
4 126
 
7.4%
7 122
 
7.2%
9 117
 
6.9%
8 113
 
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 (%)
2344
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 5209
56.2%
Common 4063
43.8%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 668
12.8%
지 390
 
7.5%
대 385
 
7.4%
번 376
 
7.2%
시 370
 
7.1%
광 369
 
7.1%
역 369
 
7.1%
동 369
 
7.1%
호 324
 
6.2%
달 136
 
2.6%
Other values (123) 1453
27.9%
Common
ValueCountFrequency (%)
2344
57.7%
1 357
 
8.8%
2 210
 
5.2%
3 186
 
4.6%
0 180
 
4.4%
6 141
 
3.5%
5 140
 
3.4%
4 126
 
3.1%
7 122
 
3.0%
9 117
 
2.9%
Other values (6) 140
 
3.4%
Latin
ValueCountFrequency (%)
A 2
50.0%
B 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5209
56.2%
ASCII 4067
43.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2344
57.6%
1 357
 
8.8%
2 210
 
5.2%
3 186
 
4.6%
0 180
 
4.4%
6 141
 
3.5%
5 140
 
3.4%
4 126
 
3.1%
7 122
 
3.0%
9 117
 
2.9%
Other values (8) 144
 
3.5%
Hangul
ValueCountFrequency (%)
구 668
12.8%
지 390
 
7.5%
대 385
 
7.4%
번 376
 
7.2%
시 370
 
7.1%
광 369
 
7.1%
역 369
 
7.1%
동 369
 
7.1%
호 324
 
6.2%
달 136
 
2.6%
Other values (123) 1453
27.9%

도로명전체주소
Text

MISSING 

Distinct446
Distinct (%)91.4%
Missing18
Missing (%)3.6%
Memory size4.1 KiB
2023-12-11T03:09:06.295352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length40
Mean length24.930328
Min length19

Characters and Unicode

Total characters12166
Distinct characters197
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

Unique406 ?
Unique (%)83.2%

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 488
 
19.7%
북구 152
 
6.1%
달성군 93
 
3.8%
달서구 70
 
2.8%
동구 65
 
2.6%
서구 62
 
2.5%
수성구 24
 
1.0%
논공읍 24
 
1.0%
노원동3가 19
 
0.8%
다사읍 19
 
0.8%
Other values (742) 1456
58.9%
2023-12-11T03:09:07.200196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1984
 
16.3%
구 918
 
7.5%
대 549
 
4.5%
동 519
 
4.3%
역 494
 
4.1%
시 494
 
4.1%
광 488
 
4.0%
1 441
 
3.6%
로 432
 
3.6%
( 396
 
3.3%
Other values (187) 5451
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7227
59.4%
Space Separator 1984
 
16.3%
Decimal Number 1923
 
15.8%
Open Punctuation 396
 
3.3%
Close Punctuation 396
 
3.3%
Dash Punctuation 184
 
1.5%
Other Punctuation 51
 
0.4%
Uppercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 918
 
12.7%
대 549
 
7.6%
동 519
 
7.2%
역 494
 
6.8%
시 494
 
6.8%
광 488
 
6.8%
로 432
 
6.0%
길 340
 
4.7%
달 199
 
2.8%
북 191
 
2.6%
Other values (169) 2603
36.0%
Decimal Number
ValueCountFrequency (%)
1 441
22.9%
2 278
14.5%
3 238
12.4%
4 193
10.0%
5 161
 
8.4%
6 160
 
8.3%
7 144
 
7.5%
0 119
 
6.2%
9 104
 
5.4%
8 85
 
4.4%
Other Punctuation
ValueCountFrequency (%)
, 49
96.1%
. 2
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
A 3
60.0%
B 2
40.0%
Space Separator
ValueCountFrequency (%)
1984
100.0%
Open Punctuation
ValueCountFrequency (%)
( 396
100.0%
Close Punctuation
ValueCountFrequency (%)
) 396
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 184
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7227
59.4%
Common 4934
40.6%
Latin 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 918
 
12.7%
대 549
 
7.6%
동 519
 
7.2%
역 494
 
6.8%
시 494
 
6.8%
광 488
 
6.8%
로 432
 
6.0%
길 340
 
4.7%
달 199
 
2.8%
북 191
 
2.6%
Other values (169) 2603
36.0%
Common
ValueCountFrequency (%)
1984
40.2%
1 441
 
8.9%
( 396
 
8.0%
) 396
 
8.0%
2 278
 
5.6%
3 238
 
4.8%
4 193
 
3.9%
- 184
 
3.7%
5 161
 
3.3%
6 160
 
3.2%
Other values (6) 503
 
10.2%
Latin
ValueCountFrequency (%)
A 3
60.0%
B 2
40.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7227
59.4%
ASCII 4939
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1984
40.2%
1 441
 
8.9%
( 396
 
8.0%
) 396
 
8.0%
2 278
 
5.6%
3 238
 
4.8%
4 193
 
3.9%
- 184
 
3.7%
5 161
 
3.3%
6 160
 
3.2%
Other values (8) 508
 
10.3%
Hangul
ValueCountFrequency (%)
구 918
 
12.7%
대 549
 
7.6%
동 519
 
7.2%
역 494
 
6.8%
시 494
 
6.8%
광 488
 
6.8%
로 432
 
6.0%
길 340
 
4.7%
달 199
 
2.8%
북 191
 
2.6%
Other values (169) 2603
36.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct158
Distinct (%)51.6%
Missing200
Missing (%)39.5%
Infinite0
Infinite (%)0.0%
Mean702436.9
Minimum42624
Maximum711882
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-11T03:09:07.421123image/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
2023-12-11T03:09:07.648345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
703833 13
 
2.6%
703830 12
 
2.4%
704900 8
 
1.6%
702872 7
 
1.4%
702815 7
 
1.4%
701140 7
 
1.4%
703100 6
 
1.2%
702903 6
 
1.2%
702800 5
 
1.0%
702834 5
 
1.0%
Other values (148) 230
45.5%
(Missing) 200
39.5%
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

Distinct480
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2023-12-11T03:09:08.078042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length6.1324111
Min length2

Characters and Unicode

Total characters3103
Distinct characters351
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

Unique456 ?
Unique (%)90.1%

Sample

1st row(주)정성원종합식품
2nd row세영종합식품
3rd row푸드팜
4th row대구유통
5th row부성종합식품
ValueCountFrequency (%)
주식회사 25
 
4.4%
농업회사법인 10
 
1.8%
주)국보푸드시스템 3
 
0.5%
주)진우식품 3
 
0.5%
세영종합식품 3
 
0.5%
영진유통 2
 
0.4%
주)도야지식품 2
 
0.4%
그린푸드 2
 
0.4%
성원푸드 2
 
0.4%
삼보식품 2
 
0.4%
Other values (489) 510
90.4%
2023-12-11T03:09:08.721115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 173
 
5.6%
주 160
 
5.2%
품 145
 
4.7%
) 138
 
4.4%
푸 138
 
4.4%
( 137
 
4.4%
드 135
 
4.4%
58
 
1.9%
사 53
 
1.7%
유 49
 
1.6%
Other values (341) 1917
61.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2680
86.4%
Close Punctuation 138
 
4.4%
Open Punctuation 137
 
4.4%
Uppercase Letter 74
 
2.4%
Space Separator 58
 
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 173
 
6.5%
주 160
 
6.0%
품 145
 
5.4%
푸 138
 
5.1%
드 135
 
5.0%
사 53
 
2.0%
유 49
 
1.8%
통 45
 
1.7%
스 45
 
1.7%
회 45
 
1.7%
Other values (311) 1692
63.1%
Uppercase Letter
ValueCountFrequency (%)
S 13
17.6%
D 8
10.8%
F 8
10.8%
C 5
 
6.8%
J 5
 
6.8%
B 5
 
6.8%
H 4
 
5.4%
G 4
 
5.4%
O 4
 
5.4%
K 3
 
4.1%
Other values (8) 15
20.3%
Lowercase Letter
ValueCountFrequency (%)
d 1
20.0%
s 1
20.0%
b 1
20.0%
f 1
20.0%
c 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 (%)
58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2680
86.4%
Common 344
 
11.1%
Latin 79
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 173
 
6.5%
주 160
 
6.0%
품 145
 
5.4%
푸 138
 
5.1%
드 135
 
5.0%
사 53
 
2.0%
유 49
 
1.8%
통 45
 
1.7%
스 45
 
1.7%
회 45
 
1.7%
Other values (311) 1692
63.1%
Latin
ValueCountFrequency (%)
S 13
16.5%
D 8
 
10.1%
F 8
 
10.1%
C 5
 
6.3%
J 5
 
6.3%
B 5
 
6.3%
H 4
 
5.1%
G 4
 
5.1%
O 4
 
5.1%
K 3
 
3.8%
Other values (13) 20
25.3%
Common
ValueCountFrequency (%)
) 138
40.1%
( 137
39.8%
58
16.9%
& 5
 
1.5%
. 4
 
1.2%
1 1
 
0.3%
8 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2680
86.4%
ASCII 423
 
13.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 173
 
6.5%
주 160
 
6.0%
품 145
 
5.4%
푸 138
 
5.1%
드 135
 
5.0%
사 53
 
2.0%
유 49
 
1.8%
통 45
 
1.7%
스 45
 
1.7%
회 45
 
1.7%
Other values (311) 1692
63.1%
ASCII
ValueCountFrequency (%)
) 138
32.6%
( 137
32.4%
58
13.7%
S 13
 
3.1%
D 8
 
1.9%
F 8
 
1.9%
C 5
 
1.2%
J 5
 
1.2%
B 5
 
1.2%
& 5
 
1.2%
Other values (20) 41
 
9.7%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct506
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0178203 × 1013
Minimum2.0040308 × 1013
Maximum2.022063 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-11T03:09:08.980198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0040308 × 1013
5-th percentile2.007043 × 1013
Q12.0160544 × 1013
median2.0190808 × 1013
Q32.0201215 × 1013
95-th percentile2.0220302 × 1013
Maximum2.022063 × 1013
Range1.8032196 × 1011
Interquartile range (IQR)4.0671264 × 1010

Descriptive statistics

Standard deviation4.2543638 × 1010
Coefficient of variation (CV)0.0021083958
Kurtosis2.5151307
Mean2.0178203 × 1013
Median Absolute Deviation (MAD)1.985551 × 1010
Skewness-1.7330123
Sum1.0210171 × 1016
Variance1.8099611 × 1021
MonotonicityNot monotonic
2023-12-11T03:09:09.260844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20040309113517 1
 
0.2%
20100308161003 1
 
0.2%
20160304114934 1
 
0.2%
20131231173449 1
 
0.2%
20190306125436 1
 
0.2%
20160407180524 1
 
0.2%
20150309135436 1
 
0.2%
20180426090306 1
 
0.2%
20201013142502 1
 
0.2%
20150921183154 1
 
0.2%
Other values (496) 496
98.0%
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 (%)
20220630092608 1
0.2%
20220624173130 1
0.2%
20220621193026 1
0.2%
20220621153534 1
0.2%
20220620173226 1
0.2%
20220609182356 1
0.2%
20220607175441 1
0.2%
20220524175634 1
0.2%
20220523194828 1
0.2%
20220519200701 1
0.2%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
U
273 
I
233 

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 273
54.0%
I 233
46.0%

Length

2023-12-11T03:09:09.493955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:09:09.645571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 273
54.0%
i 233
46.0%

데이터갱신일자
Date

Distinct225
Distinct (%)44.5%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
Minimum2018-08-31 23:59:59
Maximum2022-07-02 00:22:30
2023-12-11T03:09:09.856469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:09:10.088676image/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
480 
유가공업
 
14
알가공업
 
12

Length

Max length5
Median length5
Mean length4.9486166
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육가공업 480
94.9%
유가공업 14
 
2.8%
알가공업 12
 
2.4%

Length

2023-12-11T03:09:10.315760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:09:10.461640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육가공업 480
94.9%
유가공업 14
 
2.8%
알가공업 12
 
2.4%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct420
Distinct (%)88.8%
Missing33
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean341151.57
Minimum326163.25
Maximum358511.63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-11T03:09:10.656623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum326163.25
5-th percentile331540.37
Q1337589.23
median340392.76
Q3344914.16
95-th percentile353139.89
Maximum358511.63
Range32348.377
Interquartile range (IQR)7324.9387

Descriptive statistics

Standard deviation6271.9496
Coefficient of variation (CV)0.018384643
Kurtosis-0.1389904
Mean341151.57
Median Absolute Deviation (MAD)3994.7413
Skewness0.32819713
Sum1.6136469 × 108
Variance39337352
MonotonicityNot monotonic
2023-12-11T03:09:10.907758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
336398.016153 4
 
0.8%
340349.011621 3
 
0.6%
345549.639709 3
 
0.6%
338448.856663 3
 
0.6%
340465.502743 3
 
0.6%
334163.630785 2
 
0.4%
340874.310041 2
 
0.4%
352649.224795 2
 
0.4%
344106.005223 2
 
0.4%
353141.41515 2
 
0.4%
Other values (410) 447
88.3%
(Missing) 33
 
6.5%
ValueCountFrequency (%)
326163.253025 1
0.2%
327486.570258 2
0.4%
328237.006988 1
0.2%
328396.070219 1
0.2%
329098.0 1
0.2%
329147.0 1
0.2%
329261.678079 1
0.2%
329302.725714 1
0.2%
329618.609425 1
0.2%
329727.557829 1
0.2%
ValueCountFrequency (%)
358511.630306 1
0.2%
356477.570168 1
0.2%
356472.230525 1
0.2%
356305.740017 1
0.2%
355759.73219 1
0.2%
355513.721108 1
0.2%
355254.243982 1
0.2%
355064.679345 1
0.2%
354955.161771 1
0.2%
354561.486965 2
0.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct420
Distinct (%)88.8%
Missing33
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean263730.87
Minimum239240.09
Maximum274637.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-11T03:09:11.126819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum239240.09
5-th percentile250919.41
Q1260861.84
median265090.59
Q3267457.26
95-th percentile271776.66
Maximum274637.22
Range35397.128
Interquartile range (IQR)6595.4206

Descriptive statistics

Standard deviation5928.2917
Coefficient of variation (CV)0.022478565
Kurtosis2.2095606
Mean263730.87
Median Absolute Deviation (MAD)2981.0041
Skewness-1.2652921
Sum1.247447 × 108
Variance35144642
MonotonicityNot monotonic
2023-12-11T03:09:11.364882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
260311.428495 4
 
0.8%
266233.497338 3
 
0.6%
268252.175255 3
 
0.6%
264078.515685 3
 
0.6%
259526.429643 3
 
0.6%
256000.711138 2
 
0.4%
267171.74305 2
 
0.4%
266084.336701 2
 
0.4%
268119.263816 2
 
0.4%
264882.442843 2
 
0.4%
Other values (410) 447
88.3%
(Missing) 33
 
6.5%
ValueCountFrequency (%)
239240.086699 1
0.2%
239536.919741 1
0.2%
242349.0 1
0.2%
242646.872394 1
0.2%
243049.515883 1
0.2%
244607.915396 2
0.4%
244700.0 1
0.2%
244829.13878 1
0.2%
245612.0 1
0.2%
248807.777332 1
0.2%
ValueCountFrequency (%)
274637.215016 1
0.2%
274126.016949 1
0.2%
274111.427951 1
0.2%
273994.885719 1
0.2%
273672.145236 1
0.2%
273353.135752 1
0.2%
273295.763942 1
0.2%
273220.608261 1
0.2%
273124.515307 1
0.2%
273085.155488 1
0.2%

축산업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
축산물가공업
506 

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 506
100.0%

Length

2023-12-11T03:09:11.601196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:09:11.754845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산물가공업 506
100.0%

축산물가공업구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
식육가공업
480 
유가공업
 
14
알가공업
 
12

Length

Max length5
Median length5
Mean length4.9486166
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육가공업 480
94.9%
유가공업 14
 
2.8%
알가공업 12
 
2.4%

Length

2023-12-11T03:09:11.925659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:09:12.096984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육가공업 480
94.9%
유가공업 14
 
2.8%
알가공업 12
 
2.4%

축산일련번호
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
<NA>
415 
0
91 

Length

Max length4
Median length4
Mean length3.4604743
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> 415
82.0%
0 91
 
18.0%

Length

2023-12-11T03:09:12.288779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:09:12.476772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 415
82.0%
0 91
 
18.0%

권리주체일련번호
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
000
346 
L00
160 

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 (%)
000 346
68.4%
L00 160
31.6%

Length

2023-12-11T03:09:12.655218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:09:12.820189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 346
68.4%
l00 160
31.6%

총종업원수
Real number (ℝ)

MISSING  ZEROS 

Distinct29
Distinct (%)6.0%
Missing24
Missing (%)4.7%
Infinite0
Infinite (%)0.0%
Mean2.2489627
Minimum0
Maximum121
Zeros385
Zeros (%)76.1%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-11T03:09:12.981171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation10.441016
Coefficient of variation (CV)4.6425919
Kurtosis72.270433
Mean2.2489627
Median Absolute Deviation (MAD)0
Skewness7.9876695
Sum1084
Variance109.01481
MonotonicityNot monotonic
2023-12-11T03:09:13.198635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 385
76.1%
2 18
 
3.6%
4 14
 
2.8%
1 13
 
2.6%
3 10
 
2.0%
5 9
 
1.8%
7 4
 
0.8%
13 3
 
0.6%
11 3
 
0.6%
10 2
 
0.4%
Other values (19) 21
 
4.2%
(Missing) 24
 
4.7%
ValueCountFrequency (%)
0 385
76.1%
1 13
 
2.6%
2 18
 
3.6%
3 10
 
2.0%
4 14
 
2.8%
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)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총종업원수
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)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총종업원수
496497축산가공업07_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
497498축산가공업07_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
498499축산가공업07_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
499500축산가공업07_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
500501축산가공업07_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
501502축산가공업07_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
502503축산가공업07_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
503504축산가공업07_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
504505축산가공업07_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
505506축산가공업07_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