Overview

Dataset statistics

Number of variables33
Number of observations504
Missing cells3141
Missing cells (%)18.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory139.4 KiB
Average record size in memory283.3 B

Variable types

Numeric13
Categorical13
Unsupported2
Text4
DateTime1

Dataset

Description22년04월_6270000_대구광역시_07_22_05_P_축산가공업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000092918&dataSetDetailId=DDI_0000092980&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 504 (100.0%) missing valuesMissing
폐업일자 has 269 (53.4%) missing valuesMissing
휴업시작일자 has 496 (98.4%) missing valuesMissing
휴업종료일자 has 497 (98.6%) missing valuesMissing
재개업일자 has 504 (100.0%) missing valuesMissing
소재지전화 has 176 (34.9%) missing valuesMissing
소재지면적 has 33 (6.5%) missing valuesMissing
소재지우편번호 has 356 (70.6%) missing valuesMissing
도로명전체주소 has 18 (3.6%) missing valuesMissing
도로명우편번호 has 198 (39.3%) missing valuesMissing
좌표정보(X) has 33 (6.5%) missing valuesMissing
좌표정보(Y) has 33 (6.5%) missing valuesMissing
총종업원수 has 24 (4.8%) missing valuesMissing
소재지면적 is highly skewed (γ1 = 20.56288828)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 (32.7%) zerosZeros
총종업원수 has 385 (76.4%) zerosZeros

Reproduction

Analysis started2024-04-18 03:40:30.112252
Analysis finished2024-04-18 03:40:30.831422
Duration0.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct504
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean252.5
Minimum1
Maximum504
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2024-04-18T12:40:30.903552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile26.15
Q1126.75
median252.5
Q3378.25
95-th percentile478.85
Maximum504
Range503
Interquartile range (IQR)251.5

Descriptive statistics

Standard deviation145.63653
Coefficient of variation (CV)0.57677835
Kurtosis-1.2
Mean252.5
Median Absolute Deviation (MAD)126
Skewness0
Sum127260
Variance21210
MonotonicityStrictly increasing
2024-04-18T12:40:31.062808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
333 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%
339 1
 
0.2%
Other values (494) 494
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 (%)
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%
496 1
0.2%
495 1
0.2%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
축산가공업
504 

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 504
100.0%

Length

2024-04-18T12:40:31.191656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:40:31.281655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산가공업 504
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
07_22_05_P
504 

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 504
100.0%

Length

2024-04-18T12:40:31.379272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:40:31.464037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_05_p 504
100.0%

개방자치단체코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
6270000
480 
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 480
95.2%
3480000 10
 
2.0%
3420000 8
 
1.6%
3460000 5
 
1.0%
3470000 1
 
0.2%

Length

2024-04-18T12:40:31.556263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:40:31.667892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6270000 480
95.2%
3480000 10
 
2.0%
3420000 8
 
1.6%
3460000 5
 
1.0%
3470000 1
 
0.2%

관리번호
Real number (ℝ)

UNIQUE 

Distinct504
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.1359722 × 1017
Minimum3.42 × 1017
Maximum6.27 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2024-04-18T12:40:31.786936image/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 deviation6.0001313 × 1016
Coefficient of variation (CV)0.097786154
Kurtosis16.229894
Mean6.1359722 × 1017
Median Absolute Deviation (MAD)39936
Skewness-4.2618633
Sum-4.341649 × 1018
Variance3.6001575 × 1033
MonotonicityNot monotonic
2024-04-18T12:40:31.923307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
342000000420030004 1
 
0.2%
627000000420060008 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%
627000000420110015 1
 
0.2%
627000000420110014 1
 
0.2%
Other values (494) 494
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 (%)
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%
627000000420220002 1
0.2%
627000000420220001 1
0.2%

인허가일자
Real number (ℝ)

Distinct398
Distinct (%)79.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20118869
Minimum19850629
Maximum20220404
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2024-04-18T12:40:32.067380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19850629
5-th percentile19982224
Q120087957
median20131029
Q320160962
95-th percentile20210324
Maximum20220404
Range369775
Interquartile range (IQR)73005.5

Descriptive statistics

Standard deviation65576.337
Coefficient of variation (CV)0.0032594445
Kurtosis0.66008355
Mean20118869
Median Absolute Deviation (MAD)39300
Skewness-0.91855238
Sum1.013991 × 1010
Variance4.300256 × 109
MonotonicityNot monotonic
2024-04-18T12:40:32.222420image/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%
20120814 3
 
0.6%
20130709 3
 
0.6%
20061201 3
 
0.6%
20131212 3
 
0.6%
20131111 3
 
0.6%
Other values (388) 455
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 (%)
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%
20220103 1
0.2%
20211216 1
0.2%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing504
Missing (%)100.0%
Memory size4.6 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
1
264 
3
212 
4
 
24
2
 
4

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 (%)
1 264
52.4%
3 212
42.1%
4 24
 
4.8%
2 4
 
0.8%

Length

2024-04-18T12:40:32.371972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:40:32.468974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 264
52.4%
3 212
42.1%
4 24
 
4.8%
2 4
 
0.8%

영업상태명
Categorical

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
영업/정상
264 
폐업
212 
취소/말소/만료/정지/중지
 
24
휴업
 
4

Length

Max length14
Median length5
Mean length4.1428571
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 264
52.4%
폐업 212
42.1%
취소/말소/만료/정지/중지 24
 
4.8%
휴업 4
 
0.8%

Length

2024-04-18T12:40:32.579823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:40:32.680585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 264
52.4%
폐업 212
42.1%
취소/말소/만료/정지/중지 24
 
4.8%
휴업 4
 
0.8%

상세영업상태코드
Categorical

Distinct5
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
0
264 
2
212 
4
 
22
1
 
4
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 (%)
0 264
52.4%
2 212
42.1%
4 22
 
4.4%
1 4
 
0.8%
3 2
 
0.4%

Length

2024-04-18T12:40:32.788327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:40:32.891495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 264
52.4%
2 212
42.1%
4 22
 
4.4%
1 4
 
0.8%
3 2
 
0.4%

상세영업상태명
Categorical

Distinct5
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
정상
264 
폐업
212 
말소
 
22
휴업
 
4
인허가취소
 
2

Length

Max length5
Median length2
Mean length2.0119048
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 264
52.4%
폐업 212
42.1%
말소 22
 
4.4%
휴업 4
 
0.8%
인허가취소 2
 
0.4%

Length

2024-04-18T12:40:33.012019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:40:33.120083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 264
52.4%
폐업 212
42.1%
말소 22
 
4.4%
휴업 4
 
0.8%
인허가취소 2
 
0.4%

폐업일자
Real number (ℝ)

MISSING 

Distinct183
Distinct (%)77.9%
Missing269
Missing (%)53.4%
Infinite0
Infinite (%)0.0%
Mean20165862
Minimum20000118
Maximum20220415
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2024-04-18T12:40:33.278968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20000118
5-th percentile20048176
Q120150355
median20190228
Q320201024
95-th percentile20220148
Maximum20220415
Range220297
Interquartile range (IQR)50669.5

Descriptive statistics

Standard deviation52507.924
Coefficient of variation (CV)0.0026038027
Kurtosis1.4005303
Mean20165862
Median Absolute Deviation (MAD)20597
Skewness-1.4450992
Sum4.7389775 × 109
Variance2.7570821 × 109
MonotonicityNot monotonic
2024-04-18T12:40:33.418990image/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%
20190729 3
 
0.6%
20040804 3
 
0.6%
20190529 3
 
0.6%
20211221 3
 
0.6%
20000118 3
 
0.6%
20211220 2
 
0.4%
Other values (173) 193
38.3%
(Missing) 269
53.4%
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 (%)
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%
20220125 1
 
0.2%
20220124 1
 
0.2%
20211231 1
 
0.2%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing496
Missing (%)98.4%
Infinite0
Infinite (%)0.0%
Mean20164394
Minimum20020601
Maximum20220324
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2024-04-18T12:40:33.536255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20020601
5-th percentile20069611
Q120161068
median20170378
Q320203360
95-th percentile20216961
Maximum20220324
Range199723
Interquartile range (IQR)42292

Descriptive statistics

Standard deviation62540.752
Coefficient of variation (CV)0.0031015439
Kurtosis5.0432795
Mean20164394
Median Absolute Deviation (MAD)20139.5
Skewness-2.0632414
Sum1.6131515 × 108
Variance3.9113457 × 109
MonotonicityNot monotonic
2024-04-18T12:40:33.662446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
20020601 1
 
0.2%
20161214 1
 
0.2%
20220324 1
 
0.2%
20200908 1
 
0.2%
20210715 1
 
0.2%
20160629 1
 
0.2%
20170428 1
 
0.2%
20170329 1
 
0.2%
(Missing) 496
98.4%
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%
ValueCountFrequency (%)
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 

Distinct7
Distinct (%)100.0%
Missing497
Missing (%)98.6%
Infinite0
Infinite (%)0.0%
Mean20178070
Minimum20100817
Maximum20221231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2024-04-18T12:40:33.789222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20100817
5-th percentile20118941
Q120165726
median20171028
Q320210981
95-th percentile20221081
Maximum20221231
Range120414
Interquartile range (IQR)45254.5

Descriptive statistics

Standard deviation41996.078
Coefficient of variation (CV)0.0020812733
Kurtosis1.0173605
Mean20178070
Median Absolute Deviation (MAD)30203
Skewness-0.93308665
Sum1.4124649 × 108
Variance1.7636706 × 109
MonotonicityNot monotonic
2024-04-18T12:40:33.904993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
20170222 1
 
0.2%
20221231 1
 
0.2%
20201231 1
 
0.2%
20220731 1
 
0.2%
20100817 1
 
0.2%
20161231 1
 
0.2%
20171028 1
 
0.2%
(Missing) 497
98.6%
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%
ValueCountFrequency (%)
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 

Missing504
Missing (%)100.0%
Memory size4.6 KiB

소재지전화
Text

MISSING 

Distinct312
Distinct (%)95.1%
Missing176
Missing (%)34.9%
Memory size4.1 KiB
2024-04-18T12:40:34.148010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length9.9481707
Min length8

Characters and Unicode

Total characters3263
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

Unique297 ?
Unique (%)90.5%

Sample

1st row963-0237
2nd row984-1100
3rd row982-1253
4th row941-4182
5th row964-5589
ValueCountFrequency (%)
0535259326 3
 
0.9%
0533811241 2
 
0.6%
0535220551 2
 
0.6%
0535883900 2
 
0.6%
0537460092 2
 
0.6%
0535921313 2
 
0.6%
0533252259 2
 
0.6%
0536359420 2
 
0.6%
0539512868 2
 
0.6%
0533419214 2
 
0.6%
Other values (302) 307
93.6%
2024-04-18T12:40:34.542861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 636
19.5%
3 582
17.8%
0 514
15.8%
1 258
7.9%
2 252
 
7.7%
6 234
 
7.2%
8 215
 
6.6%
9 214
 
6.6%
4 179
 
5.5%
7 165
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3249
99.6%
Dash Punctuation 14
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 636
19.6%
3 582
17.9%
0 514
15.8%
1 258
7.9%
2 252
 
7.8%
6 234
 
7.2%
8 215
 
6.6%
9 214
 
6.6%
4 179
 
5.5%
7 165
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3263
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 636
19.5%
3 582
17.8%
0 514
15.8%
1 258
7.9%
2 252
 
7.7%
6 234
 
7.2%
8 215
 
6.6%
9 214
 
6.6%
4 179
 
5.5%
7 165
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3263
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 636
19.5%
3 582
17.8%
0 514
15.8%
1 258
7.9%
2 252
 
7.7%
6 234
 
7.2%
8 215
 
6.6%
9 214
 
6.6%
4 179
 
5.5%
7 165
 
5.1%

소재지면적
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct291
Distinct (%)61.8%
Missing33
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean450.5083
Minimum0
Maximum96848
Zeros165
Zeros (%)32.7%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2024-04-18T12:40:35.669330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median94.85
Q3237.21
95-th percentile656
Maximum96848
Range96848
Interquartile range (IQR)237.21

Descriptive statistics

Standard deviation4537.3477
Coefficient of variation (CV)10.071618
Kurtosis436.19051
Mean450.5083
Median Absolute Deviation (MAD)94.85
Skewness20.562888
Sum212189.41
Variance20587524
MonotonicityNot monotonic
2024-04-18T12:40:35.841409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 165
32.7%
81.0 3
 
0.6%
100.0 3
 
0.6%
401.94 2
 
0.4%
76.0 2
 
0.4%
399.0 2
 
0.4%
360.0 2
 
0.4%
181.0 2
 
0.4%
294.0 2
 
0.4%
195.0 2
 
0.4%
Other values (281) 286
56.7%
(Missing) 33
 
6.5%
ValueCountFrequency (%)
0.0 165
32.7%
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%
Missing356
Missing (%)70.6%
Infinite0
Infinite (%)0.0%
Mean704457.68
Minimum700424
Maximum711882
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2024-04-18T12:40:36.001694image/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
2024-04-18T12:40:36.186751image/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
 
21.8%
(Missing) 356
70.6%
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

Distinct344
Distinct (%)68.3%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2024-04-18T12:40:36.462057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length38
Mean length18.25
Min length1

Characters and Unicode

Total characters9198
Distinct characters150
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

Unique319 ?
Unique (%)63.3%

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 366
 
19.3%
북구 104
 
5.5%
달성군 77
 
4.1%
동구 61
 
3.2%
1호 49
 
2.6%
달서구 46
 
2.4%
서구 42
 
2.2%
0호 35
 
1.8%
2호 27
 
1.4%
3호 26
 
1.4%
Other values (502) 1065
56.1%
2024-04-18T12:40:36.870270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2325
25.3%
구 662
 
7.2%
지 387
 
4.2%
대 382
 
4.2%
번 373
 
4.1%
시 367
 
4.0%
광 366
 
4.0%
역 366
 
4.0%
동 363
 
3.9%
1 355
 
3.9%
Other values (140) 3252
35.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5167
56.2%
Space Separator 2325
25.3%
Decimal Number 1676
 
18.2%
Dash Punctuation 21
 
0.2%
Other Punctuation 4
 
< 0.1%
Uppercase Letter 3
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 662
12.8%
지 387
 
7.5%
대 382
 
7.4%
번 373
 
7.2%
시 367
 
7.1%
광 366
 
7.1%
역 366
 
7.1%
동 363
 
7.0%
호 319
 
6.2%
달 136
 
2.6%
Other values (122) 1446
28.0%
Decimal Number
ValueCountFrequency (%)
1 355
21.2%
2 208
12.4%
3 184
11.0%
0 179
10.7%
6 141
 
8.4%
5 137
 
8.2%
4 124
 
7.4%
7 120
 
7.2%
9 115
 
6.9%
8 113
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 2
50.0%
, 2
50.0%
Uppercase Letter
ValueCountFrequency (%)
A 2
66.7%
B 1
33.3%
Space Separator
ValueCountFrequency (%)
2325
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 5167
56.2%
Common 4028
43.8%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 662
12.8%
지 387
 
7.5%
대 382
 
7.4%
번 373
 
7.2%
시 367
 
7.1%
광 366
 
7.1%
역 366
 
7.1%
동 363
 
7.0%
호 319
 
6.2%
달 136
 
2.6%
Other values (122) 1446
28.0%
Common
ValueCountFrequency (%)
2325
57.7%
1 355
 
8.8%
2 208
 
5.2%
3 184
 
4.6%
0 179
 
4.4%
6 141
 
3.5%
5 137
 
3.4%
4 124
 
3.1%
7 120
 
3.0%
9 115
 
2.9%
Other values (6) 140
 
3.5%
Latin
ValueCountFrequency (%)
A 2
66.7%
B 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5167
56.2%
ASCII 4031
43.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2325
57.7%
1 355
 
8.8%
2 208
 
5.2%
3 184
 
4.6%
0 179
 
4.4%
6 141
 
3.5%
5 137
 
3.4%
4 124
 
3.1%
7 120
 
3.0%
9 115
 
2.9%
Other values (8) 143
 
3.5%
Hangul
ValueCountFrequency (%)
구 662
12.8%
지 387
 
7.5%
대 382
 
7.4%
번 373
 
7.2%
시 367
 
7.1%
광 366
 
7.1%
역 366
 
7.1%
동 363
 
7.0%
호 319
 
6.2%
달 136
 
2.6%
Other values (122) 1446
28.0%

도로명전체주소
Text

MISSING 

Distinct444
Distinct (%)91.4%
Missing18
Missing (%)3.6%
Memory size4.1 KiB
2024-04-18T12:40:37.261919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length40
Mean length24.911523
Min length19

Characters and Unicode

Total characters12107
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

Unique404 ?
Unique (%)83.1%

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 486
 
19.7%
북구 152
 
6.2%
달성군 93
 
3.8%
달서구 70
 
2.8%
동구 63
 
2.6%
서구 62
 
2.5%
논공읍 24
 
1.0%
수성구 24
 
1.0%
다사읍 19
 
0.8%
노원동3가 19
 
0.8%
Other values (738) 1450
58.9%
2024-04-18T12:40:37.816767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1976
 
16.3%
구 914
 
7.5%
대 547
 
4.5%
동 514
 
4.2%
역 492
 
4.1%
시 492
 
4.1%
광 486
 
4.0%
1 438
 
3.6%
로 430
 
3.6%
( 394
 
3.3%
Other values (187) 5424
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7196
59.4%
Space Separator 1976
 
16.3%
Decimal Number 1911
 
15.8%
Open Punctuation 394
 
3.3%
Close Punctuation 394
 
3.3%
Dash Punctuation 183
 
1.5%
Other Punctuation 49
 
0.4%
Uppercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 914
 
12.7%
대 547
 
7.6%
동 514
 
7.1%
역 492
 
6.8%
시 492
 
6.8%
광 486
 
6.8%
로 430
 
6.0%
길 338
 
4.7%
달 199
 
2.8%
북 191
 
2.7%
Other values (169) 2593
36.0%
Decimal Number
ValueCountFrequency (%)
1 438
22.9%
2 276
14.4%
3 238
12.5%
4 191
10.0%
5 160
 
8.4%
6 159
 
8.3%
7 143
 
7.5%
0 118
 
6.2%
9 103
 
5.4%
8 85
 
4.4%
Other Punctuation
ValueCountFrequency (%)
, 47
95.9%
. 2
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
A 3
75.0%
B 1
 
25.0%
Space Separator
ValueCountFrequency (%)
1976
100.0%
Open Punctuation
ValueCountFrequency (%)
( 394
100.0%
Close Punctuation
ValueCountFrequency (%)
) 394
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 183
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7196
59.4%
Common 4907
40.5%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 914
 
12.7%
대 547
 
7.6%
동 514
 
7.1%
역 492
 
6.8%
시 492
 
6.8%
광 486
 
6.8%
로 430
 
6.0%
길 338
 
4.7%
달 199
 
2.8%
북 191
 
2.7%
Other values (169) 2593
36.0%
Common
ValueCountFrequency (%)
1976
40.3%
1 438
 
8.9%
( 394
 
8.0%
) 394
 
8.0%
2 276
 
5.6%
3 238
 
4.9%
4 191
 
3.9%
- 183
 
3.7%
5 160
 
3.3%
6 159
 
3.2%
Other values (6) 498
 
10.1%
Latin
ValueCountFrequency (%)
A 3
75.0%
B 1
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7196
59.4%
ASCII 4911
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1976
40.2%
1 438
 
8.9%
( 394
 
8.0%
) 394
 
8.0%
2 276
 
5.6%
3 238
 
4.8%
4 191
 
3.9%
- 183
 
3.7%
5 160
 
3.3%
6 159
 
3.2%
Other values (8) 502
 
10.2%
Hangul
ValueCountFrequency (%)
구 914
 
12.7%
대 547
 
7.6%
동 514
 
7.1%
역 492
 
6.8%
시 492
 
6.8%
광 486
 
6.8%
로 430
 
6.0%
길 338
 
4.7%
달 199
 
2.8%
북 191
 
2.7%
Other values (169) 2593
36.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct158
Distinct (%)51.6%
Missing198
Missing (%)39.3%
Infinite0
Infinite (%)0.0%
Mean702436.9
Minimum42624
Maximum711882
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2024-04-18T12:40:37.961445image/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
2024-04-18T12:40:38.106106image/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%
701140 7
 
1.4%
702815 7
 
1.4%
702872 7
 
1.4%
702903 6
 
1.2%
703100 6
 
1.2%
702800 5
 
1.0%
702834 5
 
1.0%
Other values (148) 230
45.6%
(Missing) 198
39.3%
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

Distinct478
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2024-04-18T12:40:38.404661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length6.1111111
Min length2

Characters and Unicode

Total characters3080
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

Unique454 ?
Unique (%)90.1%

Sample

1st row(주)정성원종합식품
2nd row세영종합식품
3rd row푸드팜
4th row대구유통
5th row부성종합식품
ValueCountFrequency (%)
주식회사 24
 
4.3%
농업회사법인 10
 
1.8%
주)국보푸드시스템 3
 
0.5%
주)진우식품 3
 
0.5%
세영종합식품 3
 
0.5%
삼보식품 2
 
0.4%
주)송강유통 2
 
0.4%
성원푸드 2
 
0.4%
천하식품 2
 
0.4%
그린푸드 2
 
0.4%
Other values (486) 507
90.5%
2024-04-18T12:40:38.857918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 172
 
5.6%
주 159
 
5.2%
품 145
 
4.7%
) 138
 
4.5%
( 137
 
4.4%
푸 137
 
4.4%
드 134
 
4.4%
56
 
1.8%
사 52
 
1.7%
유 49
 
1.6%
Other values (341) 1901
61.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2661
86.4%
Close Punctuation 138
 
4.5%
Open Punctuation 137
 
4.4%
Uppercase Letter 72
 
2.3%
Space Separator 56
 
1.8%
Other Punctuation 9
 
0.3%
Lowercase Letter 5
 
0.2%
Decimal Number 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 172
 
6.5%
주 159
 
6.0%
품 145
 
5.4%
푸 137
 
5.1%
드 134
 
5.0%
사 52
 
2.0%
유 49
 
1.8%
통 45
 
1.7%
스 45
 
1.7%
회 44
 
1.7%
Other values (311) 1679
63.1%
Uppercase Letter
ValueCountFrequency (%)
S 13
18.1%
D 8
11.1%
F 8
11.1%
C 5
 
6.9%
J 5
 
6.9%
H 4
 
5.6%
O 4
 
5.6%
G 4
 
5.6%
B 4
 
5.6%
K 3
 
4.2%
Other values (8) 14
19.4%
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 (%)
8 1
50.0%
1 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 138
100.0%
Open Punctuation
ValueCountFrequency (%)
( 137
100.0%
Space Separator
ValueCountFrequency (%)
56
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2661
86.4%
Common 342
 
11.1%
Latin 77
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 172
 
6.5%
주 159
 
6.0%
품 145
 
5.4%
푸 137
 
5.1%
드 134
 
5.0%
사 52
 
2.0%
유 49
 
1.8%
통 45
 
1.7%
스 45
 
1.7%
회 44
 
1.7%
Other values (311) 1679
63.1%
Latin
ValueCountFrequency (%)
S 13
16.9%
D 8
10.4%
F 8
10.4%
C 5
 
6.5%
J 5
 
6.5%
H 4
 
5.2%
O 4
 
5.2%
G 4
 
5.2%
B 4
 
5.2%
K 3
 
3.9%
Other values (13) 19
24.7%
Common
ValueCountFrequency (%)
) 138
40.4%
( 137
40.1%
56
16.4%
& 5
 
1.5%
. 4
 
1.2%
8 1
 
0.3%
1 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2661
86.4%
ASCII 419
 
13.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 172
 
6.5%
주 159
 
6.0%
품 145
 
5.4%
푸 137
 
5.1%
드 134
 
5.0%
사 52
 
2.0%
유 49
 
1.8%
통 45
 
1.7%
스 45
 
1.7%
회 44
 
1.7%
Other values (311) 1679
63.1%
ASCII
ValueCountFrequency (%)
) 138
32.9%
( 137
32.7%
56
13.4%
S 13
 
3.1%
D 8
 
1.9%
F 8
 
1.9%
C 5
 
1.2%
& 5
 
1.2%
J 5
 
1.2%
. 4
 
1.0%
Other values (20) 40
 
9.5%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct504
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0177284 × 1013
Minimum2.0040308 × 1013
Maximum2.0220425 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2024-04-18T12:40:39.035013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0040308 × 1013
5-th percentile2.007043 × 1013
Q12.0160509 × 1013
median2.0190801 × 1013
Q32.0201112 × 1013
95-th percentile2.0220225 × 1013
Maximum2.0220425 × 1013
Range1.8011704 × 1011
Interquartile range (IQR)4.0602918 × 1010

Descriptive statistics

Standard deviation4.223844 × 1010
Coefficient of variation (CV)0.002093366
Kurtosis2.5235382
Mean2.0177284 × 1013
Median Absolute Deviation (MAD)1.9777532 × 1010
Skewness-1.7342559
Sum1.0169351 × 1016
Variance1.7840858 × 1021
MonotonicityNot monotonic
2024-04-18T12:40:39.196047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20040309113517 1
 
0.2%
20141231162906 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%
20191210173438 1
 
0.2%
20180625181128 1
 
0.2%
Other values (494) 494
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 (%)
20220425174104 1
0.2%
20220420165516 1
0.2%
20220420140547 1
0.2%
20220419115256 1
0.2%
20220411182825 1
0.2%
20220406151136 1
0.2%
20220405181011 1
0.2%
20220405090800 1
0.2%
20220404202020 1
0.2%
20220404181229 1
0.2%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
U
265 
I
239 

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 265
52.6%
I 239
47.4%

Length

2024-04-18T12:40:39.343570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:40:39.440812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 265
52.6%
i 239
47.4%

데이터갱신일자
Date

Distinct218
Distinct (%)43.3%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
Minimum2018-08-31 23:59:59
Maximum2022-04-27 02:40:00
2024-04-18T12:40:39.552313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T12:40:39.716259image/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
478 
유가공업
 
14
알가공업
 
12

Length

Max length5
Median length5
Mean length4.9484127
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육가공업 478
94.8%
유가공업 14
 
2.8%
알가공업 12
 
2.4%

Length

2024-04-18T12:40:39.856534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:40:39.961185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육가공업 478
94.8%
유가공업 14
 
2.8%
알가공업 12
 
2.4%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct419
Distinct (%)89.0%
Missing33
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean341108.99
Minimum326163.25
Maximum358511.63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2024-04-18T12:40:40.073992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum326163.25
5-th percentile331540.01
Q1337578.35
median340376.47
Q3344872.51
95-th percentile353105.74
Maximum358511.63
Range32348.377
Interquartile range (IQR)7294.1659

Descriptive statistics

Standard deviation6247.1128
Coefficient of variation (CV)0.018314125
Kurtosis-0.12009355
Mean341108.99
Median Absolute Deviation (MAD)3978.4562
Skewness0.33037583
Sum1.6066233 × 108
Variance39026418
MonotonicityNot monotonic
2024-04-18T12:40:40.221260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
336398.016153 4
 
0.8%
338448.856663 3
 
0.6%
340465.502743 3
 
0.6%
340349.011621 3
 
0.6%
345549.639709 3
 
0.6%
338602.244053 2
 
0.4%
345425.894431 2
 
0.4%
344106.005223 2
 
0.4%
345440.217334 2
 
0.4%
353666.411194 2
 
0.4%
Other values (409) 445
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 1
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct419
Distinct (%)89.0%
Missing33
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean263715.68
Minimum239240.09
Maximum274637.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2024-04-18T12:40:40.377860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum239240.09
5-th percentile250888.05
Q1260812.6
median265090.59
Q3267456.84
95-th percentile271779.75
Maximum274637.22
Range35397.128
Interquartile range (IQR)6644.2441

Descriptive statistics

Standard deviation5933.3464
Coefficient of variation (CV)0.022499028
Kurtosis2.1980633
Mean263715.68
Median Absolute Deviation (MAD)2981.0041
Skewness-1.2624752
Sum1.2421008 × 108
Variance35204599
MonotonicityNot monotonic
2024-04-18T12:40:40.526198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
260311.428495 4
 
0.8%
264078.515685 3
 
0.6%
259526.429643 3
 
0.6%
266233.497338 3
 
0.6%
268252.175255 3
 
0.6%
267504.459324 2
 
0.4%
264282.102634 2
 
0.4%
268119.263816 2
 
0.4%
269224.16328 2
 
0.4%
265671.523642 2
 
0.4%
Other values (409) 445
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
504 

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 504
100.0%

Length

2024-04-18T12:40:40.699027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:40:40.791991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산물가공업 504
100.0%

축산물가공업구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
식육가공업
478 
유가공업
 
14
알가공업
 
12

Length

Max length5
Median length5
Mean length4.9484127
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육가공업 478
94.8%
유가공업 14
 
2.8%
알가공업 12
 
2.4%

Length

2024-04-18T12:40:40.897151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:40:41.011537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육가공업 478
94.8%
유가공업 14
 
2.8%
알가공업 12
 
2.4%

축산일련번호
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
<NA>
423 
0
81 

Length

Max length4
Median length4
Mean length3.5178571
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> 423
83.9%
0 81
 
16.1%

Length

2024-04-18T12:40:41.121995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:40:41.246652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 423
83.9%
0 81
 
16.1%

권리주체일련번호
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
000
345 
L00
159 

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 (%)
000 345
68.5%
L00 159
31.5%

Length

2024-04-18T12:40:41.376399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:40:41.475138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 345
68.5%
l00 159
31.5%

총종업원수
Real number (ℝ)

MISSING  ZEROS 

Distinct29
Distinct (%)6.0%
Missing24
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean2.2458333
Minimum0
Maximum121
Zeros385
Zeros (%)76.4%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2024-04-18T12:40:41.576472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile9.05
Maximum121
Range121
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.462478
Coefficient of variation (CV)4.6586173
Kurtosis71.979783
Mean2.2458333
Median Absolute Deviation (MAD)0
Skewness7.9727899
Sum1078
Variance109.46345
MonotonicityNot monotonic
2024-04-18T12:40:41.713158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 385
76.4%
2 17
 
3.4%
4 13
 
2.6%
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
 
4.8%
ValueCountFrequency (%)
0 385
76.4%
1 13
 
2.6%
2 17
 
3.4%
3 10
 
2.0%
4 13
 
2.6%
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
494495축산가공업07_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
495496축산가공업07_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
496497축산가공업07_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
497498축산가공업07_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
498499축산가공업07_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
499500축산가공업07_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
500501축산가공업07_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
501502축산가공업07_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
502503축산가공업07_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
503504축산가공업07_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