Overview

Dataset statistics

Number of variables34
Number of observations1147
Missing cells8616
Missing cells (%)22.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory328.3 KiB
Average record size in memory293.1 B

Variable types

Numeric12
Categorical14
Unsupported3
Text4
DateTime1

Dataset

Description22년12월_6270000_대구광역시_02_04_01_P_가축사육업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000097471&dataSetDetailId=DDI_0000097482&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
축산업무구분명 has constant value ""Constant
재개업일자 is highly imbalanced (98.7%)Imbalance
권리주체일련번호 is highly imbalanced (98.2%)Imbalance
주사육업종 is highly imbalanced (65.6%)Imbalance
인허가취소일자 has 1147 (100.0%) missing valuesMissing
폐업일자 has 807 (70.4%) missing valuesMissing
휴업시작일자 has 1101 (96.0%) missing valuesMissing
휴업종료일자 has 1101 (96.0%) missing valuesMissing
소재지전화 has 724 (63.1%) missing valuesMissing
소재지우편번호 has 202 (17.6%) missing valuesMissing
도로명전체주소 has 355 (31.0%) missing valuesMissing
도로명우편번호 has 582 (50.7%) missing valuesMissing
업태구분명 has 1147 (100.0%) missing valuesMissing
좌표정보(X) has 150 (13.1%) missing valuesMissing
좌표정보(Y) has 150 (13.1%) missing valuesMissing
축산물가공업구분명 has 1147 (100.0%) missing valuesMissing
도로명우편번호 is highly skewed (γ1 = 23.75094101)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
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
축산물가공업구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 18:52:24.182555
Analysis finished2023-12-10 18:52:25.325988
Duration1.14 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1147
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean574
Minimum1
Maximum1147
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2023-12-11T03:52:25.458504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile58.3
Q1287.5
median574
Q3860.5
95-th percentile1089.7
Maximum1147
Range1146
Interquartile range (IQR)573

Descriptive statistics

Standard deviation331.25469
Coefficient of variation (CV)0.57709876
Kurtosis-1.2
Mean574
Median Absolute Deviation (MAD)287
Skewness0
Sum658378
Variance109729.67
MonotonicityStrictly increasing
2023-12-11T03:52:25.706634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
764 1
 
0.1%
770 1
 
0.1%
769 1
 
0.1%
768 1
 
0.1%
767 1
 
0.1%
766 1
 
0.1%
765 1
 
0.1%
763 1
 
0.1%
772 1
 
0.1%
Other values (1137) 1137
99.1%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1147 1
0.1%
1146 1
0.1%
1145 1
0.1%
1144 1
0.1%
1143 1
0.1%
1142 1
0.1%
1141 1
0.1%
1140 1
0.1%
1139 1
0.1%
1138 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
가축사육업
1147 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
가축사육업 1147
100.0%

Length

2023-12-11T03:52:25.928940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:52:26.066719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가축사육업 1147
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
02_04_01_P
1147 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row02_04_01_P
2nd row02_04_01_P
3rd row02_04_01_P
4th row02_04_01_P
5th row02_04_01_P

Common Values

ValueCountFrequency (%)
02_04_01_P 1147
100.0%

Length

2023-12-11T03:52:26.255357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:52:26.402543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02_04_01_p 1147
100.0%

개방자치단체코드
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
3480000
639 
3420000
271 
3450000
206 
3460000
 
31

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3480000 639
55.7%
3420000 271
23.6%
3450000 206
 
18.0%
3460000 31
 
2.7%

Length

2023-12-11T03:52:26.571991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:52:26.789672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3480000 639
55.7%
3420000 271
23.6%
3450000 206
 
18.0%
3460000 31
 
2.7%

관리번호
Real number (ℝ)

UNIQUE 

Distinct1147
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4598954 × 1017
Minimum3.42 × 1017
Maximum3.48 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2023-12-11T03:52:26.989471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.42 × 1017
5-th percentile3.42 × 1017
Q13.45 × 1017
median3.48 × 1017
Q33.48 × 1017
95-th percentile3.48 × 1017
Maximum3.48 × 1017
Range6 × 1015
Interquartile range (IQR)3 × 1015

Descriptive statistics

Standard deviation2.488696 × 1015
Coefficient of variation (CV)0.0071929804
Kurtosis-1.1947724
Mean3.4598954 × 1017
Median Absolute Deviation (MAD)109952
Skewness-0.69272231
Sum-8.9783658 × 1018
Variance6.1936077 × 1030
MonotonicityNot monotonic
2023-12-11T03:52:27.292892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
342000003320050072 1
 
0.1%
348000003320150197 1
 
0.1%
348000003320050004 1
 
0.1%
348000003320050003 1
 
0.1%
348000003320050001 1
 
0.1%
348000003320040002 1
 
0.1%
348000003320150199 1
 
0.1%
348000003320150198 1
 
0.1%
348000003320150196 1
 
0.1%
348000003320050010 1
 
0.1%
Other values (1137) 1137
99.1%
ValueCountFrequency (%)
342000003320050001 1
0.1%
342000003320050002 1
0.1%
342000003320050003 1
0.1%
342000003320050004 1
0.1%
342000003320050005 1
0.1%
342000003320050006 1
0.1%
342000003320050007 1
0.1%
342000003320050008 1
0.1%
342000003320050009 1
0.1%
342000003320050010 1
0.1%
ValueCountFrequency (%)
348000003320220007 1
0.1%
348000003320220006 1
0.1%
348000003320220005 1
0.1%
348000003320220004 1
0.1%
348000003320220003 1
0.1%
348000003320220002 1
0.1%
348000003320220001 1
0.1%
348000003320210005 1
0.1%
348000003320210004 1
0.1%
348000003320210003 1
0.1%

인허가일자
Real number (ℝ)

Distinct395
Distinct (%)34.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20096865
Minimum20040830
Maximum20221128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2023-12-11T03:52:27.606266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040830
5-th percentile20050701
Q120051221
median20080708
Q320150214
95-th percentile20170924
Maximum20221128
Range180298
Interquartile range (IQR)98993

Descriptive statistics

Standard deviation47175.077
Coefficient of variation (CV)0.0023473849
Kurtosis-0.92201193
Mean20096865
Median Absolute Deviation (MAD)29878
Skewness0.61345973
Sum2.3051104 × 1010
Variance2.2254879 × 109
MonotonicityNot monotonic
2023-12-11T03:52:28.016570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20051221 85
 
7.4%
20051201 38
 
3.3%
20051226 30
 
2.6%
20050802 28
 
2.4%
20050811 28
 
2.4%
20080710 25
 
2.2%
20150216 23
 
2.0%
20080708 22
 
1.9%
20050830 22
 
1.9%
20050701 22
 
1.9%
Other values (385) 824
71.8%
ValueCountFrequency (%)
20040830 1
 
0.1%
20040908 1
 
0.1%
20050331 19
1.7%
20050401 1
 
0.1%
20050411 1
 
0.1%
20050509 7
 
0.6%
20050518 6
 
0.5%
20050607 11
1.0%
20050617 1
 
0.1%
20050630 5
 
0.4%
ValueCountFrequency (%)
20221128 1
0.1%
20220803 1
0.1%
20220726 1
0.1%
20220712 1
0.1%
20220513 1
0.1%
20220426 1
0.1%
20220413 1
0.1%
20220223 2
0.2%
20220107 1
0.1%
20211220 1
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1147
Missing (%)100.0%
Memory size10.2 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
1
484 
3
341 
4
275 
2
 
47

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
1 484
42.2%
3 341
29.7%
4 275
24.0%
2 47
 
4.1%

Length

2023-12-11T03:52:28.279958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:52:28.441272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 484
42.2%
3 341
29.7%
4 275
24.0%
2 47
 
4.1%

영업상태명
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
영업/정상
484 
폐업
341 
취소/말소/만료/정지/중지
275 
휴업
 
47

Length

Max length14
Median length5
Mean length6.1429817
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row취소/말소/만료/정지/중지
2nd row취소/말소/만료/정지/중지
3rd row취소/말소/만료/정지/중지
4th row취소/말소/만료/정지/중지
5th row취소/말소/만료/정지/중지

Common Values

ValueCountFrequency (%)
영업/정상 484
42.2%
폐업 341
29.7%
취소/말소/만료/정지/중지 275
24.0%
휴업 47
 
4.1%

Length

2023-12-11T03:52:28.625500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:52:28.791134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 484
42.2%
폐업 341
29.7%
취소/말소/만료/정지/중지 275
24.0%
휴업 47
 
4.1%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
0
484 
2
341 
4
274 
1
 
47
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row4
2nd row4
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
0 484
42.2%
2 341
29.7%
4 274
23.9%
1 47
 
4.1%
3 1
 
0.1%

Length

2023-12-11T03:52:28.974626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:52:29.150260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 484
42.2%
2 341
29.7%
4 274
23.9%
1 47
 
4.1%
3 1
 
0.1%

상세영업상태명
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
정상
484 
폐업
341 
말소
274 
휴업
 
47
행정처분
 
1

Length

Max length4
Median length2
Mean length2.0017437
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
정상 484
42.2%
폐업 341
29.7%
말소 274
23.9%
휴업 47
 
4.1%
행정처분 1
 
0.1%

Length

2023-12-11T03:52:29.360700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:52:29.560627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 484
42.2%
폐업 341
29.7%
말소 274
23.9%
휴업 47
 
4.1%
행정처분 1
 
0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct252
Distinct (%)74.1%
Missing807
Missing (%)70.4%
Infinite0
Infinite (%)0.0%
Mean20169929
Minimum20050808
Maximum20221220
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2023-12-11T03:52:29.766278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20050808
5-th percentile20099726
Q120150296
median20171211
Q320200569
95-th percentile20220322
Maximum20221220
Range170412
Interquartile range (IQR)50273.5

Descriptive statistics

Standard deviation35235.635
Coefficient of variation (CV)0.001746939
Kurtosis0.50346729
Mean20169929
Median Absolute Deviation (MAD)21096
Skewness-0.69300469
Sum6.8577759 × 109
Variance1.24155 × 109
MonotonicityNot monotonic
2023-12-11T03:52:30.066309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20171221 8
 
0.7%
20151221 7
 
0.6%
20140712 7
 
0.6%
20191130 5
 
0.4%
20150423 4
 
0.3%
20180807 4
 
0.3%
20141204 3
 
0.3%
20170602 3
 
0.3%
20200821 3
 
0.3%
20201217 3
 
0.3%
Other values (242) 293
 
25.5%
(Missing) 807
70.4%
ValueCountFrequency (%)
20050808 1
0.1%
20070108 1
0.1%
20070822 2
0.2%
20071127 1
0.1%
20071203 1
0.1%
20071227 2
0.2%
20080218 1
0.1%
20080730 1
0.1%
20080929 1
0.1%
20081230 1
0.1%
ValueCountFrequency (%)
20221220 1
0.1%
20221207 1
0.1%
20221206 1
0.1%
20221205 1
0.1%
20221121 1
0.1%
20221116 1
0.1%
20221115 1
0.1%
20221018 1
0.1%
20221015 1
0.1%
20221005 1
0.1%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct39
Distinct (%)84.8%
Missing1101
Missing (%)96.0%
Infinite0
Infinite (%)0.0%
Mean20191934
Minimum20140319
Maximum20221221
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2023-12-11T03:52:30.338076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20140319
5-th percentile20140405
Q120151222
median20211006
Q320220315
95-th percentile20221077
Maximum20221221
Range80902
Interquartile range (IQR)69093.5

Descriptive statistics

Standard deviation32785.351
Coefficient of variation (CV)0.0016236855
Kurtosis-1.6525467
Mean20191934
Median Absolute Deviation (MAD)9959.5
Skewness-0.47689153
Sum9.2882894 × 108
Variance1.0748792 × 109
MonotonicityNot monotonic
2023-12-11T03:52:30.565517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
20220315 5
 
0.4%
20220228 3
 
0.3%
20150424 2
 
0.2%
20221221 1
 
0.1%
20170602 1
 
0.1%
20151127 1
 
0.1%
20210805 1
 
0.1%
20211208 1
 
0.1%
20220321 1
 
0.1%
20150909 1
 
0.1%
Other values (29) 29
 
2.5%
(Missing) 1101
96.0%
ValueCountFrequency (%)
20140319 1
0.1%
20140321 1
0.1%
20140403 1
0.1%
20140410 1
0.1%
20150122 1
0.1%
20150324 1
0.1%
20150424 2
0.2%
20150909 1
0.1%
20151118 1
0.1%
20151127 1
0.1%
ValueCountFrequency (%)
20221221 1
0.1%
20221112 1
0.1%
20221101 1
0.1%
20221005 1
0.1%
20220927 1
0.1%
20220810 1
0.1%
20220520 1
0.1%
20220428 1
0.1%
20220422 1
0.1%
20220406 1
0.1%

휴업종료일자
Real number (ℝ)

MISSING 

Distinct37
Distinct (%)80.4%
Missing1101
Missing (%)96.0%
Infinite0
Infinite (%)0.0%
Mean20237822
Minimum20151030
Maximum21000101
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2023-12-11T03:52:30.805087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20151030
5-th percentile20163503
Q120185954
median20240716
Q320250314
95-th percentile20251024
Maximum21000101
Range849071
Interquartile range (IQR)64360.25

Descriptive statistics

Standard deviation119735.46
Coefficient of variation (CV)0.0059164205
Kurtosis38.537096
Mean20237822
Median Absolute Deviation (MAD)10291.5
Skewness5.941592
Sum9.309398 × 108
Variance1.4336581 × 1010
MonotonicityNot monotonic
2023-12-11T03:52:31.045886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
20250314 5
 
0.4%
20250227 3
 
0.3%
20181231 2
 
0.2%
20201231 2
 
0.2%
20161231 2
 
0.2%
20200423 1
 
0.1%
20200630 1
 
0.1%
20250307 1
 
0.1%
20151030 1
 
0.1%
20170403 1
 
0.1%
Other values (27) 27
 
2.4%
(Missing) 1101
96.0%
ValueCountFrequency (%)
20151030 1
0.1%
20161231 2
0.2%
20170318 1
0.1%
20170403 1
0.1%
20170410 1
0.1%
20170908 1
0.1%
20180320 1
0.1%
20180423 1
0.1%
20180630 1
0.1%
20181231 2
0.2%
ValueCountFrequency (%)
21000101 1
0.1%
20251220 1
0.1%
20251031 1
0.1%
20251004 1
0.1%
20250926 1
0.1%
20250809 1
0.1%
20250519 1
0.1%
20250427 1
0.1%
20250405 1
0.1%
20250320 1
0.1%

재개업일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
<NA>
1145 
20201103
 
1
20221230
 
1

Length

Max length8
Median length4
Mean length4.0069747
Min length4

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1145
99.8%
20201103 1
 
0.1%
20221230 1
 
0.1%

Length

2023-12-11T03:52:31.260637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:52:31.434328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1145
99.8%
20201103 1
 
0.1%
20221230 1
 
0.1%

소재지전화
Text

MISSING 

Distinct413
Distinct (%)97.6%
Missing724
Missing (%)63.1%
Memory size9.1 KiB
2023-12-11T03:52:31.814292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length10.567376
Min length8

Characters and Unicode

Total characters4470
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique404 ?
Unique (%)95.5%

Sample

1st row053-982-9430
2nd row053-984-6759
3rd row053-982-9844
4th row053-983-2800
5th row053-962-2367
ValueCountFrequency (%)
982-6934 3
 
0.7%
053-982-7060 2
 
0.5%
791-6801 2
 
0.5%
982-9372 2
 
0.5%
053-982-4502 2
 
0.5%
614-2271 2
 
0.5%
053-951-1061 2
 
0.5%
053-583-3408 2
 
0.5%
053-616-3456 2
 
0.5%
053-616-8018 1
 
0.2%
Other values (403) 403
95.3%
2023-12-11T03:52:32.459314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 691
15.5%
5 515
11.5%
3 508
11.4%
0 474
10.6%
6 448
10.0%
1 393
8.8%
9 330
7.4%
8 329
7.4%
7 280
6.3%
2 276
 
6.2%
Other values (2) 226
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3777
84.5%
Dash Punctuation 691
 
15.5%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 515
13.6%
3 508
13.4%
0 474
12.5%
6 448
11.9%
1 393
10.4%
9 330
8.7%
8 329
8.7%
7 280
7.4%
2 276
7.3%
4 224
5.9%
Dash Punctuation
ValueCountFrequency (%)
- 691
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4470
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 691
15.5%
5 515
11.5%
3 508
11.4%
0 474
10.6%
6 448
10.0%
1 393
8.8%
9 330
7.4%
8 329
7.4%
7 280
6.3%
2 276
 
6.2%
Other values (2) 226
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4470
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 691
15.5%
5 515
11.5%
3 508
11.4%
0 474
10.6%
6 448
10.0%
1 393
8.8%
9 330
7.4%
8 329
7.4%
7 280
6.3%
2 276
 
6.2%
Other values (2) 226
 
5.1%

소재지면적
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
0
729 
<NA>
418 

Length

Max length4
Median length1
Mean length2.0932868
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 729
63.6%
<NA> 418
36.4%

Length

2023-12-11T03:52:32.678913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:52:32.835696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 729
63.6%
na 418
36.4%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct129
Distinct (%)13.7%
Missing202
Missing (%)17.6%
Infinite0
Infinite (%)0.0%
Mean687756.64
Minimum42901
Maximum711893
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2023-12-11T03:52:33.033221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum42901
5-th percentile701160
Q1701460
median706120
Q3711861
95-th percentile711893
Maximum711893
Range668992
Interquartile range (IQR)10401

Descriptive statistics

Standard deviation110188.23
Coefficient of variation (CV)0.16021399
Kurtosis29.805123
Mean687756.64
Median Absolute Deviation (MAD)5702
Skewness-5.6138806
Sum6.4993002 × 108
Variance1.2141446 × 1010
MonotonicityNot monotonic
2023-12-11T03:52:33.249871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
711893 80
 
7.0%
702130 59
 
5.1%
711823 58
 
5.1%
711844 47
 
4.1%
702800 42
 
3.7%
701290 33
 
2.9%
701400 29
 
2.5%
711856 28
 
2.4%
711891 23
 
2.0%
711871 21
 
1.8%
Other values (119) 525
45.8%
(Missing) 202
 
17.6%
ValueCountFrequency (%)
42901 2
0.2%
42902 1
0.1%
42906 1
0.1%
42932 1
0.1%
42938 1
0.1%
42939 2
0.2%
42940 1
0.1%
42958 2
0.2%
42968 1
0.1%
42969 1
0.1%
ValueCountFrequency (%)
711893 80
7.0%
711892 20
 
1.7%
711891 23
 
2.0%
711883 8
 
0.7%
711882 13
 
1.1%
711881 12
 
1.0%
711874 2
 
0.2%
711873 1
 
0.1%
711872 3
 
0.3%
711871 21
 
1.8%

소재지전체주소
Text

Distinct521
Distinct (%)45.5%
Missing3
Missing (%)0.3%
Memory size9.1 KiB
2023-12-11T03:52:33.652181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length33
Mean length22.066434
Min length13

Characters and Unicode

Total characters25244
Distinct characters153
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique302 ?
Unique (%)26.4%

Sample

1st row대구광역시 동구 미대동 **번지
2nd row대구광역시 동구 신용동 ***번지
3rd row대구광역시 동구 송정동 ***-*번지
4th row대구광역시 동구 송정동 ***번지
5th row대구광역시 동구 신용동 ***-*번지
ValueCountFrequency (%)
대구광역시 1144
21.6%
번지 778
14.7%
달성군 638
12.1%
376
 
7.1%
동구 271
 
5.1%
북구 206
 
3.9%
구지면 150
 
2.8%
하빈면 84
 
1.6%
가창면 79
 
1.5%
유가읍 76
 
1.4%
Other values (165) 1489
28.1%
2023-12-11T03:52:34.594447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5291
21.0%
* 3862
15.3%
구 1801
 
7.1%
대 1197
 
4.7%
광 1167
 
4.6%
역 1144
 
4.5%
시 1144
 
4.5%
지 962
 
3.8%
동 836
 
3.3%
번 778
 
3.1%
Other values (143) 7062
28.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15545
61.6%
Space Separator 5291
 
21.0%
Other Punctuation 3884
 
15.4%
Dash Punctuation 460
 
1.8%
Decimal Number 58
 
0.2%
Close Punctuation 3
 
< 0.1%
Open Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1801
 
11.6%
대 1197
 
7.7%
광 1167
 
7.5%
역 1144
 
7.4%
시 1144
 
7.4%
지 962
 
6.2%
동 836
 
5.4%
번 778
 
5.0%
리 684
 
4.4%
성 677
 
4.4%
Other values (126) 5155
33.2%
Decimal Number
ValueCountFrequency (%)
1 10
17.2%
0 7
12.1%
3 7
12.1%
2 7
12.1%
9 6
10.3%
6 6
10.3%
5 5
8.6%
8 4
 
6.9%
7 3
 
5.2%
4 3
 
5.2%
Other Punctuation
ValueCountFrequency (%)
* 3862
99.4%
, 20
 
0.5%
. 2
 
0.1%
Space Separator
ValueCountFrequency (%)
5291
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 460
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15545
61.6%
Common 9699
38.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1801
 
11.6%
대 1197
 
7.7%
광 1167
 
7.5%
역 1144
 
7.4%
시 1144
 
7.4%
지 962
 
6.2%
동 836
 
5.4%
번 778
 
5.0%
리 684
 
4.4%
성 677
 
4.4%
Other values (126) 5155
33.2%
Common
ValueCountFrequency (%)
5291
54.6%
* 3862
39.8%
- 460
 
4.7%
, 20
 
0.2%
1 10
 
0.1%
0 7
 
0.1%
3 7
 
0.1%
2 7
 
0.1%
9 6
 
0.1%
6 6
 
0.1%
Other values (7) 23
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15545
61.6%
ASCII 9699
38.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5291
54.6%
* 3862
39.8%
- 460
 
4.7%
, 20
 
0.2%
1 10
 
0.1%
0 7
 
0.1%
3 7
 
0.1%
2 7
 
0.1%
9 6
 
0.1%
6 6
 
0.1%
Other values (7) 23
 
0.2%
Hangul
ValueCountFrequency (%)
구 1801
 
11.6%
대 1197
 
7.7%
광 1167
 
7.5%
역 1144
 
7.4%
시 1144
 
7.4%
지 962
 
6.2%
동 836
 
5.4%
번 778
 
5.0%
리 684
 
4.4%
성 677
 
4.4%
Other values (126) 5155
33.2%

도로명전체주소
Text

MISSING 

Distinct404
Distinct (%)51.0%
Missing355
Missing (%)31.0%
Memory size9.1 KiB
2023-12-11T03:52:35.012608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length31
Mean length23.746212
Min length19

Characters and Unicode

Total characters18807
Distinct characters166
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique242 ?
Unique (%)30.6%

Sample

1st row대구광역시 동구 서촌로 *** (송정동)
2nd row대구광역시 동구 팔공산로**길 ** (송정동)
3rd row대구광역시 동구 용진길 **-** (신용동)
4th row대구광역시 동구 용진길 ***-** (신용동)
5th row대구광역시 동구 팔공로***길 ** (백안동)
ValueCountFrequency (%)
대구광역시 792
20.0%
773
19.5%
달성군 508
12.8%
동구 154
 
3.9%
북구 113
 
2.9%
구지면 101
 
2.6%
하빈면 78
 
2.0%
유가읍 71
 
1.8%
가창면 59
 
1.5%
논공읍 55
 
1.4%
Other values (267) 1256
31.7%
2023-12-11T03:52:35.639454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 3187
16.9%
3168
16.8%
구 1253
 
6.7%
대 845
 
4.5%
광 809
 
4.3%
역 793
 
4.2%
시 792
 
4.2%
길 621
 
3.3%
달 564
 
3.0%
성 535
 
2.8%
Other values (156) 6240
33.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11454
60.9%
Other Punctuation 3198
 
17.0%
Space Separator 3168
 
16.8%
Dash Punctuation 354
 
1.9%
Open Punctuation 287
 
1.5%
Close Punctuation 287
 
1.5%
Decimal Number 59
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1253
 
10.9%
대 845
 
7.4%
광 809
 
7.1%
역 793
 
6.9%
시 792
 
6.9%
길 621
 
5.4%
달 564
 
4.9%
성 535
 
4.7%
군 508
 
4.4%
동 505
 
4.4%
Other values (139) 4229
36.9%
Decimal Number
ValueCountFrequency (%)
1 14
23.7%
3 11
18.6%
2 9
15.3%
8 5
 
8.5%
7 5
 
8.5%
0 4
 
6.8%
6 4
 
6.8%
9 3
 
5.1%
4 2
 
3.4%
5 2
 
3.4%
Other Punctuation
ValueCountFrequency (%)
* 3187
99.7%
, 9
 
0.3%
. 2
 
0.1%
Space Separator
ValueCountFrequency (%)
3168
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 354
100.0%
Open Punctuation
ValueCountFrequency (%)
( 287
100.0%
Close Punctuation
ValueCountFrequency (%)
) 287
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11454
60.9%
Common 7353
39.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1253
 
10.9%
대 845
 
7.4%
광 809
 
7.1%
역 793
 
6.9%
시 792
 
6.9%
길 621
 
5.4%
달 564
 
4.9%
성 535
 
4.7%
군 508
 
4.4%
동 505
 
4.4%
Other values (139) 4229
36.9%
Common
ValueCountFrequency (%)
* 3187
43.3%
3168
43.1%
- 354
 
4.8%
( 287
 
3.9%
) 287
 
3.9%
1 14
 
0.2%
3 11
 
0.1%
2 9
 
0.1%
, 9
 
0.1%
8 5
 
0.1%
Other values (7) 22
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11454
60.9%
ASCII 7353
39.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 3187
43.3%
3168
43.1%
- 354
 
4.8%
( 287
 
3.9%
) 287
 
3.9%
1 14
 
0.2%
3 11
 
0.1%
2 9
 
0.1%
, 9
 
0.1%
8 5
 
0.1%
Other values (7) 22
 
0.3%
Hangul
ValueCountFrequency (%)
구 1253
 
10.9%
대 845
 
7.4%
광 809
 
7.1%
역 793
 
6.9%
시 792
 
6.9%
길 621
 
5.4%
달 564
 
4.9%
성 535
 
4.7%
군 508
 
4.4%
동 505
 
4.4%
Other values (139) 4229
36.9%

도로명우편번호
Real number (ℝ)

MISSING  SKEWED 

Distinct77
Distinct (%)13.6%
Missing582
Missing (%)50.7%
Infinite0
Infinite (%)0.0%
Mean43854.733
Minimum41000
Maximum701430
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2023-12-11T03:52:35.867864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41000
5-th percentile41018.2
Q142905
median42976
Q342993
95-th percentile43011
Maximum701430
Range660430
Interquartile range (IQR)88

Descriptive statistics

Standard deviation27720.721
Coefficient of variation (CV)0.63210328
Kurtosis564.40431
Mean43854.733
Median Absolute Deviation (MAD)30
Skewness23.750941
Sum24777924
Variance7.6843835 × 108
MonotonicityNot monotonic
2023-12-11T03:52:36.079653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42977 61
 
5.3%
43006 61
 
5.3%
42992 39
 
3.4%
42993 31
 
2.7%
42939 25
 
2.2%
42975 22
 
1.9%
43007 21
 
1.8%
42905 20
 
1.7%
42968 20
 
1.7%
41408 14
 
1.2%
Other values (67) 251
21.9%
(Missing) 582
50.7%
ValueCountFrequency (%)
41000 4
0.3%
41001 2
0.2%
41006 1
 
0.1%
41007 1
 
0.1%
41010 1
 
0.1%
41011 3
0.3%
41012 1
 
0.1%
41013 4
0.3%
41014 2
0.2%
41016 3
0.3%
ValueCountFrequency (%)
701430 1
 
0.1%
43013 13
 
1.1%
43012 5
 
0.4%
43011 11
 
1.0%
43008 3
 
0.3%
43007 21
 
1.8%
43006 61
5.3%
43004 1
 
0.1%
43002 2
 
0.2%
43001 2
 
0.2%

사업장명
Text

Distinct1035
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
2023-12-11T03:52:36.522913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length4
Mean length4.146469
Min length2

Characters and Unicode

Total characters4756
Distinct characters295
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique937 ?
Unique (%)81.7%

Sample

1st row채창균
2nd row신용농장
3rd row한삼남
4th row이일우
5th row손도영
ValueCountFrequency (%)
농가 34
 
2.8%
농장 18
 
1.5%
대성농장 6
 
0.5%
상철목장 3
 
0.2%
이곤목장 3
 
0.2%
종수목장 3
 
0.2%
이민호농가 3
 
0.2%
태호목장 3
 
0.2%
동식목장 3
 
0.2%
양구석 3
 
0.2%
Other values (1031) 1127
93.4%
2023-12-11T03:52:37.150246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 792
 
16.7%
농 489
 
10.3%
목 446
 
9.4%
가 140
 
2.9%
이 101
 
2.1%
성 70
 
1.5%
수 67
 
1.4%
정 66
 
1.4%
영 65
 
1.4%
김 63
 
1.3%
Other values (285) 2457
51.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4675
98.3%
Space Separator 59
 
1.2%
Uppercase Letter 11
 
0.2%
Decimal Number 10
 
0.2%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 792
 
16.9%
농 489
 
10.5%
목 446
 
9.5%
가 140
 
3.0%
이 101
 
2.2%
성 70
 
1.5%
수 67
 
1.4%
정 66
 
1.4%
영 65
 
1.4%
김 63
 
1.3%
Other values (269) 2376
50.8%
Uppercase Letter
ValueCountFrequency (%)
J 2
18.2%
E 2
18.2%
N 2
18.2%
K 1
9.1%
A 1
9.1%
B 1
9.1%
M 1
9.1%
S 1
9.1%
Decimal Number
ValueCountFrequency (%)
2 4
40.0%
9 2
20.0%
1 1
 
10.0%
0 1
 
10.0%
3 1
 
10.0%
5 1
 
10.0%
Space Separator
ValueCountFrequency (%)
59
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4675
98.3%
Common 70
 
1.5%
Latin 11
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 792
 
16.9%
농 489
 
10.5%
목 446
 
9.5%
가 140
 
3.0%
이 101
 
2.2%
성 70
 
1.5%
수 67
 
1.4%
정 66
 
1.4%
영 65
 
1.4%
김 63
 
1.3%
Other values (269) 2376
50.8%
Common
ValueCountFrequency (%)
59
84.3%
2 4
 
5.7%
9 2
 
2.9%
. 1
 
1.4%
1 1
 
1.4%
0 1
 
1.4%
3 1
 
1.4%
5 1
 
1.4%
Latin
ValueCountFrequency (%)
J 2
18.2%
E 2
18.2%
N 2
18.2%
K 1
9.1%
A 1
9.1%
B 1
9.1%
M 1
9.1%
S 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4675
98.3%
ASCII 81
 
1.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 792
 
16.9%
농 489
 
10.5%
목 446
 
9.5%
가 140
 
3.0%
이 101
 
2.2%
성 70
 
1.5%
수 67
 
1.4%
정 66
 
1.4%
영 65
 
1.4%
김 63
 
1.3%
Other values (269) 2376
50.8%
ASCII
ValueCountFrequency (%)
59
72.8%
2 4
 
4.9%
9 2
 
2.5%
J 2
 
2.5%
E 2
 
2.5%
N 2
 
2.5%
. 1
 
1.2%
1 1
 
1.2%
0 1
 
1.2%
3 1
 
1.2%
Other values (6) 6
 
7.4%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct1147
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.017278 × 1013
Minimum2.0070108 × 1013
Maximum2.022123 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2023-12-11T03:52:37.399623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0070108 × 1013
5-th percentile2.0071074 × 1013
Q12.0150907 × 1013
median2.0171215 × 1013
Q32.0210327 × 1013
95-th percentile2.0220621 × 1013
Maximum2.022123 × 1013
Range1.5112203 × 1011
Interquartile range (IQR)5.9419999 × 1010

Descriptive statistics

Standard deviation3.9264962 × 1010
Coefficient of variation (CV)0.0019464329
Kurtosis0.67554083
Mean2.017278 × 1013
Median Absolute Deviation (MAD)2.1095009 × 1010
Skewness-0.93493404
Sum2.3138178 × 1016
Variance1.5417373 × 1021
MonotonicityNot monotonic
2023-12-11T03:52:37.672975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20070816144009 1
 
0.1%
20190812143851 1
 
0.1%
20200608141723 1
 
0.1%
20180314162332 1
 
0.1%
20220223092347 1
 
0.1%
20200929171212 1
 
0.1%
20171123095111 1
 
0.1%
20211208150636 1
 
0.1%
20160710090922 1
 
0.1%
20201105204805 1
 
0.1%
Other values (1137) 1137
99.1%
ValueCountFrequency (%)
20070108141550 1
0.1%
20070816142536 1
0.1%
20070816143612 1
0.1%
20070816143657 1
0.1%
20070816143717 1
0.1%
20070816143733 1
0.1%
20070816143805 1
0.1%
20070816143822 1
0.1%
20070816143837 1
0.1%
20070816143902 1
0.1%
ValueCountFrequency (%)
20221230172037 1
0.1%
20221229155005 1
0.1%
20221226173920 1
0.1%
20221226173028 1
0.1%
20221226134639 1
0.1%
20221223140608 1
0.1%
20221221152756 1
0.1%
20221220184302 1
0.1%
20221220180515 1
0.1%
20221212113317 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
I
664 
U
483 

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 (%)
I 664
57.9%
U 483
42.1%

Length

2023-12-11T03:52:37.926757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:52:38.090239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 664
57.9%
u 483
42.1%

데이터갱신일자
Date

Distinct248
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
Minimum2018-08-31 23:59:59
Maximum2023-01-01 02:40:00
2023-12-11T03:52:38.271640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:52:38.511844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1147
Missing (%)100.0%
Memory size10.2 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct896
Distinct (%)89.9%
Missing150
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean339406.21
Minimum322493.09
Maximum358769.95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2023-12-11T03:52:38.784371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum322493.09
5-th percentile325798.11
Q1329892.64
median336111.12
Q3349101.77
95-th percentile354135.02
Maximum358769.95
Range36276.859
Interquartile range (IQR)19209.132

Descriptive statistics

Standard deviation10222.759
Coefficient of variation (CV)0.030119541
Kurtosis-1.444639
Mean339406.21
Median Absolute Deviation (MAD)9385.8355
Skewness0.058296804
Sum3.3838799 × 108
Variance1.0450481 × 108
MonotonicityNot monotonic
2023-12-11T03:52:39.097202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
335342.514729383 4
 
0.3%
346530.794408655 4
 
0.3%
345919.149926362 3
 
0.3%
345094.161079098 3
 
0.3%
345799.864086966 3
 
0.3%
346869.805788598 3
 
0.3%
329262.7041845 3
 
0.3%
329343.976261653 3
 
0.3%
331560.900447767 3
 
0.3%
347856.306010944 3
 
0.3%
Other values (886) 965
84.1%
(Missing) 150
 
13.1%
ValueCountFrequency (%)
322493.090650013 1
0.1%
322525.682433515 1
0.1%
322546.445940513 1
0.1%
322611.447443293 1
0.1%
322622.458019249 1
0.1%
322628.444130469 1
0.1%
322647.185718964 1
0.1%
322684.370853993 1
0.1%
322694.469621171 1
0.1%
322704.405409069 1
0.1%
ValueCountFrequency (%)
358769.949895937 1
0.1%
358756.827263098 1
0.1%
358751.776891128 1
0.1%
358662.149778705 1
0.1%
358566.633213236 1
0.1%
358509.682753445 1
0.1%
358484.485921412 1
0.1%
358422.738099142 1
0.1%
358329.93189281 1
0.1%
358302.819086153 1
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct896
Distinct (%)89.9%
Missing150
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean258695.76
Minimum235206.05
Maximum278524.54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2023-12-11T03:52:39.391301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum235206.05
5-th percentile239207.6
Q1247896.8
median256208.12
Q3271018.01
95-th percentile275555.84
Maximum278524.54
Range43318.489
Interquartile range (IQR)23121.21

Descriptive statistics

Standard deviation12784.543
Coefficient of variation (CV)0.049419223
Kurtosis-1.4482255
Mean258695.76
Median Absolute Deviation (MAD)13269.616
Skewness-0.12048638
Sum2.5791967 × 108
Variance1.6344455 × 108
MonotonicityNot monotonic
2023-12-11T03:52:39.649906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
255317.445463309 4
 
0.3%
268388.215525591 4
 
0.3%
269973.802296327 3
 
0.3%
275637.93818336 3
 
0.3%
269795.804966655 3
 
0.3%
269884.956704254 3
 
0.3%
236983.850226985 3
 
0.3%
244853.476395573 3
 
0.3%
239709.772327623 3
 
0.3%
271429.548641968 3
 
0.3%
Other values (886) 965
84.1%
(Missing) 150
 
13.1%
ValueCountFrequency (%)
235206.048366622 1
 
0.1%
236183.100209759 1
 
0.1%
236309.723116218 2
0.2%
236887.421239506 1
 
0.1%
236903.172651174 1
 
0.1%
236933.823320445 1
 
0.1%
236983.850226985 3
0.3%
236998.355555954 1
 
0.1%
237074.627343036 1
 
0.1%
237270.917087008 1
 
0.1%
ValueCountFrequency (%)
278524.537092234 2
0.2%
278363.04212636 1
0.1%
278313.989220381 1
0.1%
278086.407223773 1
0.1%
278037.302868546 1
0.1%
277873.91848958 1
0.1%
277844.520260296 1
0.1%
277655.118597892 1
0.1%
277627.36903482 1
0.1%
277612.649634451 1
0.1%

축산업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
가축사육업
1147 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
가축사육업 1147
100.0%

Length

2023-12-11T03:52:39.899143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:52:40.048093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가축사육업 1147
100.0%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1147
Missing (%)100.0%
Memory size10.2 KiB

축산일련번호
Real number (ℝ)

Distinct641
Distinct (%)55.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean231.84133
Minimum1
Maximum645
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2023-12-11T03:52:40.212800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile16
Q187
median183
Q3356.5
95-th percentile586.7
Maximum645
Range644
Interquartile range (IQR)269.5

Descriptive statistics

Standard deviation179.93281
Coefficient of variation (CV)0.77610327
Kurtosis-0.6140174
Mean231.84133
Median Absolute Deviation (MAD)115
Skewness0.72719874
Sum265922
Variance32375.816
MonotonicityNot monotonic
2023-12-11T03:52:40.433749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 4
 
0.3%
3 4
 
0.3%
23 4
 
0.3%
22 4
 
0.3%
18 4
 
0.3%
17 4
 
0.3%
16 4
 
0.3%
15 4
 
0.3%
5 4
 
0.3%
24 4
 
0.3%
Other values (631) 1107
96.5%
ValueCountFrequency (%)
1 1
 
0.1%
2 4
0.3%
3 4
0.3%
4 4
0.3%
5 4
0.3%
6 4
0.3%
7 4
0.3%
8 4
0.3%
9 4
0.3%
10 4
0.3%
ValueCountFrequency (%)
645 1
0.1%
644 1
0.1%
643 1
0.1%
642 1
0.1%
641 1
0.1%
640 1
0.1%
639 1
0.1%
638 1
0.1%
637 1
0.1%
636 1
0.1%

권리주체일련번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
000
1145 
L00
 
2

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 1145
99.8%
L00 2
 
0.2%

Length

2023-12-11T03:52:40.691028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:52:41.001283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 1145
99.8%
l00 2
 
0.2%

총직원수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
<NA>
888 
0
259 

Length

Max length4
Median length4
Mean length3.3225806
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> 888
77.4%
0 259
 
22.6%

Length

2023-12-11T03:52:41.265821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:52:41.476990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 888
77.4%
0 259
 
22.6%

주사육업종
Categorical

IMBALANCE 

Distinct12
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
한우
925 
돼지
 
56
젖소
 
49
육계
 
47
염소
 
26
Other values (7)
 
44

Length

Max length6
Median length2
Mean length2.0566696
Min length1

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
한우 925
80.6%
돼지 56
 
4.9%
젖소 49
 
4.3%
육계 47
 
4.1%
염소 26
 
2.3%
종계/산란계 17
 
1.5%
육우 15
 
1.3%
꿩 4
 
0.3%
산양 3
 
0.3%
오리 3
 
0.3%
Other values (2) 2
 
0.2%

Length

2023-12-11T03:52:41.658836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한우 925
80.6%
돼지 56
 
4.9%
젖소 49
 
4.3%
육계 47
 
4.1%
염소 26
 
2.3%
종계/산란계 17
 
1.5%
육우 15
 
1.3%
꿩 4
 
0.3%
산양 3
 
0.3%
오리 3
 
0.3%
Other values (2) 2
 
0.2%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총직원수주사육업종
01가축사육업02_04_01_P342000034200000332005007220051226<NA>4취소/말소/만료/정지/중지4말소<NA><NA><NA><NA><NA>0701460대구광역시 동구 미대동 **번지<NA><NA>채창균20070816144009I2018-08-31 23:59:59.0<NA>350655.645522274847.223076가축사육업<NA>73000<NA>한우
12가축사육업02_04_01_P342000034200000332005007320051226<NA>4취소/말소/만료/정지/중지4말소<NA><NA><NA><NA>053-982-94300701490대구광역시 동구 신용동 ***번지<NA><NA>신용농장20070816144023I2018-08-31 23:59:59.0<NA>347942.752244277167.151527가축사육업<NA>74000<NA>한우
23가축사육업02_04_01_P342000034200000332005007520051226<NA>4취소/말소/만료/정지/중지4말소<NA><NA><NA><NA>053-984-67590701520대구광역시 동구 송정동 ***-*번지대구광역시 동구 서촌로 *** (송정동)<NA>한삼남20070816144041I2018-08-31 23:59:59.0<NA>346178.468005277357.059822가축사육업<NA>76000<NA>한우
34가축사육업02_04_01_P342000034200000332005007620051226<NA>4취소/말소/만료/정지/중지4말소<NA><NA><NA><NA>053-982-98440701520대구광역시 동구 송정동 ***번지대구광역시 동구 팔공산로**길 ** (송정동)<NA>이일우20070816144059I2018-08-31 23:59:59.0<NA>345965.453855278524.537092가축사육업<NA>77000<NA>한우
45가축사육업02_04_01_P342000034200000332005007720051226<NA>4취소/말소/만료/정지/중지4말소<NA><NA><NA><NA>053-983-28000701490대구광역시 동구 신용동 ***-*번지대구광역시 동구 용진길 **-** (신용동)<NA>손도영20070816144117I2018-08-31 23:59:59.0<NA>347747.047149276561.90462가축사육업<NA>78000<NA>한우
56가축사육업02_04_01_P342000034200000332005007820051226<NA>4취소/말소/만료/정지/중지4말소<NA><NA><NA><NA><NA>0701490대구광역시 동구 신용동 ***번지대구광역시 동구 용진길 ***-** (신용동)<NA>황수동20070816144132I2018-08-31 23:59:59.0<NA>348986.229006276760.323606가축사육업<NA>79000<NA>한우
67가축사육업02_04_01_P342000034200000332005007920051226<NA>4취소/말소/만료/정지/중지4말소<NA><NA><NA><NA>053-962-23670701320대구광역시 동구 괴전동 ***-*번지<NA><NA>김상돌20070816144148I2018-08-31 23:59:59.0<NA><NA><NA>가축사육업<NA>80000<NA>한우
78가축사육업02_04_01_P342000034200000332007001520071012<NA>4취소/말소/만료/정지/중지4말소<NA><NA><NA><NA>982-75380701400대구광역시 동구 백안동 ***번지대구광역시 동구 팔공로***길 ** (백안동)<NA>황학순20150730113039I2018-08-31 23:59:59.0<NA>352278.133122273203.784007가축사육업<NA>103000<NA>한우
89가축사육업02_04_01_P342000034200000332011000920111208<NA>4취소/말소/만료/정지/중지4말소<NA><NA><NA><NA><NA><NA>701520대구광역시 동구 송정동 ***번지대구광역시 동구 팔공산로**길 ** (송정동)41000이일우20160628103102I2018-08-31 23:59:59.0<NA>345965.453855278524.537092가축사육업<NA>225000<NA>한우
910가축사육업02_04_01_P342000034200000332009000120090109<NA>4취소/말소/만료/정지/중지4말소<NA><NA><NA><NA>982-76710701460대구광역시 동구 미대동 ***-*번지대구광역시 동구 미대길 ** (미대동)<NA>채주기20150730114826I2018-08-31 23:59:59.0<NA>350398.556273274415.274814가축사육업<NA>177000<NA>한우
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총직원수주사육업종
11371138가축사육업02_04_01_P348000034800000332005003720050701<NA>4취소/말소/만료/정지/중지4말소<NA><NA><NA><NA>053-581-06510711823대구광역시 달성군 하빈면 봉촌리 ***-*번지<NA><NA>병세목장20160525085800I2018-08-31 23:59:59.0<NA>326572.986934263406.210674가축사육업<NA>40000<NA>한우
11381139가축사육업02_04_01_P348000034800000332005003420050701<NA>4취소/말소/만료/정지/중지4말소<NA><NA><NA><NA>053-583-34080711823대구광역시 달성군 하빈면 하산리 ****-**번지대구광역시 달성군 하빈면 하빈남로***길 **-**<NA>영현농장20160525090311I2018-08-31 23:59:59.0<NA>326341.933013264287.319455가축사육업<NA>37000<NA>돼지
11391140가축사육업02_04_01_P348000034800000332005005020050701<NA>4취소/말소/만료/정지/중지4말소<NA><NA><NA><NA>053-617-30800711871대구광역시 달성군 현풍읍 오산리 **-*<NA>43007장덕목장20220318094215U2022-03-20 02:40:00.0<NA>328269.821218244043.287762가축사육업<NA>530000한우
11401141가축사육업02_04_01_P348000034800000332005005220050701<NA>4취소/말소/만료/정지/중지4말소<NA><NA><NA><NA>053-614-49590711893대구광역시 달성군 구지면 수리리 ***-*번지<NA><NA>병호목장20160525080712I2018-08-31 23:59:59.0<NA>326061.39791241638.455311가축사육업<NA>55000<NA>한우
11411142가축사육업02_04_01_P348000034800000332005005720050802<NA>4취소/말소/만료/정지/중지4말소<NA><NA><NA><NA>053-614-06980711851대구광역시 달성군 논공읍 금포리 ***-*번지대구광역시 달성군 논공읍 비슬로***길 **<NA>중식목장20160710083040I2018-08-31 23:59:59.0<NA>328499.637761254360.847947가축사육업<NA>60000<NA>젖소
11421143가축사육업02_04_01_P348000034800000332019001120191113<NA>4취소/말소/만료/정지/중지4말소<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍읍 오산리 ***<NA>43007일웅목장20220512173434U2022-05-14 02:40:00.0<NA>326523.871609243735.178509가축사육업<NA>6290000한우
11431144가축사육업02_04_01_P348000034800000332005019920051221<NA>4취소/말소/만료/정지/중지4말소<NA><NA><NA><NA>053-768-81640711864대구광역시 달성군 가창면 정대리 ***번지대구광역시 달성군 가창면 헐티로*길 ***<NA>익근목장20160525075123I2018-08-31 23:59:59.0<NA>341608.507928251521.245533가축사육업<NA>202000<NA>한우
11441145가축사육업02_04_01_P348000034800000332008001020080410<NA>4취소/말소/만료/정지/중지4말소<NA><NA><NA><NA><NA>0711893대구광역시 달성군 구지면 수리리 ***-*번지대구광역시 달성군 구지면 과학북로**길 **-**<NA>대니산축산20160525080051I2018-08-31 23:59:59.0<NA>326377.575774242650.21048가축사육업<NA>271000<NA>한우
11451146가축사육업02_04_01_P348000034800000332005004220050701<NA>4취소/말소/만료/정지/중지4말소<NA><NA><NA><NA><NA>0711823대구광역시 달성군 하빈면 봉촌리 ***번지대구광역시 달성군 하빈면 달구벌대로**길 ***-**42905재학목장20171226163200I2018-08-31 23:59:59.0<NA>326542.828477263349.939533가축사육업<NA>45000<NA>한우
11461147가축사육업02_04_01_P348000034800000332018000820180803<NA>4취소/말소/만료/정지/중지4말소<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 하빈면 하산리 ***-*대구광역시 달성군 하빈면 하산길 ***-**42900얼루기목장20220901140527U2022-09-03 02:40:00.0<NA>327524.545648265890.624906가축사육업<NA>6150000젖소