Overview

Dataset statistics

Number of variables34
Number of observations1089
Missing cells8225
Missing cells (%)22.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory311.7 KiB
Average record size in memory293.1 B

Variable types

Numeric10
Categorical13
Unsupported6
Text4
DateTime1

Dataset

Description2021-06-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123099

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
상세영업상태코드 is highly imbalanced (53.1%)Imbalance
상세영업상태명 is highly imbalanced (53.1%)Imbalance
휴업시작일자 is highly imbalanced (98.2%)Imbalance
휴업종료일자 is highly imbalanced (98.2%)Imbalance
재개업일자 is highly imbalanced (98.2%)Imbalance
축산업무구분명 is highly imbalanced (98.1%)Imbalance
축산물가공업구분명 is highly imbalanced (98.1%)Imbalance
인허가취소일자 has 1089 (100.0%) missing valuesMissing
폐업일자 has 632 (58.0%) missing valuesMissing
소재지전화 has 487 (44.7%) missing valuesMissing
소재지우편번호 has 1089 (100.0%) missing valuesMissing
소재지전체주소 has 60 (5.5%) missing valuesMissing
도로명전체주소 has 125 (11.5%) missing valuesMissing
도로명우편번호 has 311 (28.6%) missing valuesMissing
업태구분명 has 1089 (100.0%) missing valuesMissing
좌표정보(x) has 37 (3.4%) missing valuesMissing
좌표정보(y) has 37 (3.4%) missing valuesMissing
축산일련번호 has 1089 (100.0%) missing valuesMissing
총종업원수 has 1089 (100.0%) missing valuesMissing
Unnamed: 33 has 1089 (100.0%) missing valuesMissing
소재지면적 is highly skewed (γ1 = 21.01353719)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
소재지우편번호 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
축산일련번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총종업원수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 33 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 has 802 (73.6%) zerosZeros

Reproduction

Analysis started2024-04-18 07:16:51.004424
Analysis finished2024-04-18 07:16:51.904612
Duration0.9 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1089
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean545
Minimum1
Maximum1089
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.7 KiB
2024-04-18T16:16:51.988218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile55.4
Q1273
median545
Q3817
95-th percentile1034.6
Maximum1089
Range1088
Interquartile range (IQR)544

Descriptive statistics

Standard deviation314.51153
Coefficient of variation (CV)0.57708537
Kurtosis-1.2
Mean545
Median Absolute Deviation (MAD)272
Skewness0
Sum593505
Variance98917.5
MonotonicityStrictly increasing
2024-04-18T16:16:52.119684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
725 1
 
0.1%
731 1
 
0.1%
730 1
 
0.1%
729 1
 
0.1%
728 1
 
0.1%
727 1
 
0.1%
726 1
 
0.1%
724 1
 
0.1%
818 1
 
0.1%
Other values (1079) 1079
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 (%)
1089 1
0.1%
1088 1
0.1%
1087 1
0.1%
1086 1
0.1%
1085 1
0.1%
1084 1
0.1%
1083 1
0.1%
1082 1
0.1%
1081 1
0.1%
1080 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
식육포장처리업
1089 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육포장처리업 1089
100.0%

Length

2024-04-18T16:16:52.242039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:16:52.320524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육포장처리업 1089
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
07_22_06_P
1089 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row07_22_06_P
2nd row07_22_06_P
3rd row07_22_06_P
4th row07_22_06_P
5th row07_22_06_P

Common Values

ValueCountFrequency (%)
07_22_06_P 1089
100.0%

Length

2024-04-18T16:16:52.410960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:16:52.530749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_06_p 1089
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3349752.1
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.7 KiB
2024-04-18T16:16:52.625394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3290000
Q13320000
median3360000
Q33390000
95-th percentile3400000
Maximum3400000
Range150000
Interquartile range (IQR)70000

Descriptive statistics

Standard deviation35084.366
Coefficient of variation (CV)0.01047372
Kurtosis-0.93756269
Mean3349752.1
Median Absolute Deviation (MAD)30000
Skewness-0.26871855
Sum3.64788 × 109
Variance1.2309127 × 109
MonotonicityNot monotonic
2024-04-18T16:16:52.743471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3360000 211
19.4%
3390000 198
18.2%
3320000 145
13.3%
3400000 92
8.4%
3350000 78
 
7.2%
3300000 70
 
6.4%
3340000 67
 
6.2%
3290000 64
 
5.9%
3330000 57
 
5.2%
3310000 33
 
3.0%
Other values (6) 74
 
6.8%
ValueCountFrequency (%)
3250000 2
 
0.2%
3260000 2
 
0.2%
3270000 9
 
0.8%
3280000 5
 
0.5%
3290000 64
5.9%
3300000 70
6.4%
3310000 33
 
3.0%
3320000 145
13.3%
3330000 57
 
5.2%
3340000 67
6.2%
ValueCountFrequency (%)
3400000 92
8.4%
3390000 198
18.2%
3380000 25
 
2.3%
3370000 31
 
2.8%
3360000 211
19.4%
3350000 78
 
7.2%
3340000 67
 
6.2%
3330000 57
 
5.2%
3320000 145
13.3%
3310000 33
 
3.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct1089
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3497521 × 1017
Minimum3.2500001 × 1017
Maximum3.4000001 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.7 KiB
2024-04-18T16:16:52.876331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.2500001 × 1017
5-th percentile3.2900001 × 1017
Q13.3200001 × 1017
median3.36 × 1017
Q33.39 × 1017
95-th percentile3.4000001 × 1017
Maximum3.4000001 × 1017
Range1.5 × 1016
Interquartile range (IQR)6.99999 × 1015

Descriptive statistics

Standard deviation3.508437 × 1015
Coefficient of variation (CV)0.010473721
Kurtosis-0.93756318
Mean3.3497521 × 1017
Median Absolute Deviation (MAD)3 × 1015
Skewness-0.2687185
Sum-4.1468736 × 1018
Variance1.230913 × 1031
MonotonicityNot monotonic
2024-04-18T16:16:53.008719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
331000000419690001 1
 
0.1%
336000010420130003 1
 
0.1%
336000010420130012 1
 
0.1%
336000010420170005 1
 
0.1%
336000010420130009 1
 
0.1%
336000010420130008 1
 
0.1%
336000010420130007 1
 
0.1%
336000010420130004 1
 
0.1%
336000010420130002 1
 
0.1%
336000010420120003 1
 
0.1%
Other values (1079) 1079
99.1%
ValueCountFrequency (%)
325000010420140001 1
0.1%
325000010420160001 1
0.1%
326000000420040001 1
0.1%
326000010420210001 1
0.1%
327000000420000001 1
0.1%
327000000420040001 1
0.1%
327000000420060001 1
0.1%
327000010420090001 1
0.1%
327000010420100001 1
0.1%
327000010420110001 1
0.1%
ValueCountFrequency (%)
340000010420210003 1
0.1%
340000010420210002 1
0.1%
340000010420210001 1
0.1%
340000010420200008 1
0.1%
340000010420200007 1
0.1%
340000010420200006 1
0.1%
340000010420200005 1
0.1%
340000010420200004 1
0.1%
340000010420200003 1
0.1%
340000010420200002 1
0.1%

인허가일자
Real number (ℝ)

Distinct879
Distinct (%)80.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20117423
Minimum19690708
Maximum20210429
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.7 KiB
2024-04-18T16:16:53.142400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19690708
5-th percentile20000236
Q120070809
median20130520
Q320180111
95-th percentile20200613
Maximum20210429
Range519721
Interquartile range (IQR)109302

Descriptive statistics

Standard deviation67164.372
Coefficient of variation (CV)0.0033386171
Kurtosis0.94570825
Mean20117423
Median Absolute Deviation (MAD)50001
Skewness-0.80726702
Sum2.1907873 × 1010
Variance4.5110528 × 109
MonotonicityNot monotonic
2024-04-18T16:16:53.269519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20040913 9
 
0.8%
20200221 6
 
0.6%
20130701 5
 
0.5%
20090827 5
 
0.5%
20190722 5
 
0.5%
20021028 5
 
0.5%
20130823 4
 
0.4%
20200311 4
 
0.4%
20200123 4
 
0.4%
20200211 4
 
0.4%
Other values (869) 1038
95.3%
ValueCountFrequency (%)
19690708 1
0.1%
19890922 1
0.1%
19900210 1
0.1%
19910708 1
0.1%
19911122 1
0.1%
19921023 1
0.1%
19921228 1
0.1%
19930305 1
0.1%
19930319 1
0.1%
19950225 1
0.1%
ValueCountFrequency (%)
20210429 1
 
0.1%
20210422 1
 
0.1%
20210412 1
 
0.1%
20210409 1
 
0.1%
20210402 1
 
0.1%
20210317 1
 
0.1%
20210304 1
 
0.1%
20210224 3
0.3%
20210223 2
0.2%
20210208 1
 
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1089
Missing (%)100.0%
Memory size9.7 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
1
625 
3
449 
4
 
11
2
 
4

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 (%)
1 625
57.4%
3 449
41.2%
4 11
 
1.0%
2 4
 
0.4%

Length

2024-04-18T16:16:53.400381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:16:53.527959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 625
57.4%
3 449
41.2%
4 11
 
1.0%
2 4
 
0.4%

영업상태명
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
영업/정상
625 
폐업
449 
취소/말소/만료/정지/중지
 
11
휴업
 
4

Length

Max length14
Median length5
Mean length3.8429752
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 625
57.4%
폐업 449
41.2%
취소/말소/만료/정지/중지 11
 
1.0%
휴업 4
 
0.4%

Length

2024-04-18T16:16:53.628821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:16:53.722226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 625
57.4%
폐업 449
41.2%
취소/말소/만료/정지/중지 11
 
1.0%
휴업 4
 
0.4%

상세영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
0
625 
2
449 
4
 
10
1
 
4
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row4
2nd row4
3rd row3
4th row4
5th row4

Common Values

ValueCountFrequency (%)
0 625
57.4%
2 449
41.2%
4 10
 
0.9%
1 4
 
0.4%
3 1
 
0.1%

Length

2024-04-18T16:16:53.847543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:16:53.951124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 625
57.4%
2 449
41.2%
4 10
 
0.9%
1 4
 
0.4%
3 1
 
0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
정상
625 
폐업
449 
말소
 
10
휴업
 
4
행정처분
 
1

Length

Max length4
Median length2
Mean length2.0018365
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
정상 625
57.4%
폐업 449
41.2%
말소 10
 
0.9%
휴업 4
 
0.4%
행정처분 1
 
0.1%

Length

2024-04-18T16:16:54.086036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:16:54.201717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 625
57.4%
폐업 449
41.2%
말소 10
 
0.9%
휴업 4
 
0.4%
행정처분 1
 
0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct407
Distinct (%)89.1%
Missing632
Missing (%)58.0%
Infinite0
Infinite (%)0.0%
Mean20136717
Minimum20030430
Maximum20210415
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.7 KiB
2024-04-18T16:16:54.313004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20030430
5-th percentile20058332
Q120100104
median20141114
Q320171218
95-th percentile20201121
Maximum20210415
Range179985
Interquartile range (IQR)71114

Descriptive statistics

Standard deviation47647.545
Coefficient of variation (CV)0.0023662023
Kurtosis-1.0520138
Mean20136717
Median Absolute Deviation (MAD)39508
Skewness-0.30450251
Sum9.2024795 × 109
Variance2.2702886 × 109
MonotonicityNot monotonic
2024-04-18T16:16:54.443089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20140227 6
 
0.6%
20121213 4
 
0.4%
20080201 3
 
0.3%
20080401 3
 
0.3%
20210223 3
 
0.3%
20140128 3
 
0.3%
20200309 3
 
0.3%
20160222 2
 
0.2%
20170711 2
 
0.2%
20190611 2
 
0.2%
Other values (397) 426
39.1%
(Missing) 632
58.0%
ValueCountFrequency (%)
20030430 1
0.1%
20040813 1
0.1%
20040915 1
0.1%
20041112 1
0.1%
20041126 1
0.1%
20050112 2
0.2%
20050118 1
0.1%
20050120 1
0.1%
20050205 1
0.1%
20050216 1
0.1%
ValueCountFrequency (%)
20210415 1
 
0.1%
20210408 1
 
0.1%
20210406 1
 
0.1%
20210405 1
 
0.1%
20210401 1
 
0.1%
20210331 1
 
0.1%
20210315 2
0.2%
20210226 1
 
0.1%
20210223 3
0.3%
20210215 1
 
0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
<NA>
1085 
20100401
 
1
20171011
 
1
20090525
 
1
20191001
 
1

Length

Max length8
Median length4
Mean length4.0146924
Min length4

Unique

Unique4 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1085
99.6%
20100401 1
 
0.1%
20171011 1
 
0.1%
20090525 1
 
0.1%
20191001 1
 
0.1%

Length

2024-04-18T16:16:54.575037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:16:54.673774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1085
99.6%
20100401 1
 
0.1%
20171011 1
 
0.1%
20090525 1
 
0.1%
20191001 1
 
0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
<NA>
1085 
20110331
 
1
20181231
 
1
20100524
 
1
20201001
 
1

Length

Max length8
Median length4
Mean length4.0146924
Min length4

Unique

Unique4 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1085
99.6%
20110331 1
 
0.1%
20181231 1
 
0.1%
20100524 1
 
0.1%
20201001 1
 
0.1%

Length

2024-04-18T16:16:54.784167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:16:54.885853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1085
99.6%
20110331 1
 
0.1%
20181231 1
 
0.1%
20100524 1
 
0.1%
20201001 1
 
0.1%

재개업일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
<NA>
1085 
20040916
 
1
20180226
 
1
20040913
 
1
20170521
 
1

Length

Max length8
Median length4
Mean length4.0146924
Min length4

Unique

Unique4 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1085
99.6%
20040916 1
 
0.1%
20180226 1
 
0.1%
20040913 1
 
0.1%
20170521 1
 
0.1%

Length

2024-04-18T16:16:54.992068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:16:55.092110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1085
99.6%
20040916 1
 
0.1%
20180226 1
 
0.1%
20040913 1
 
0.1%
20170521 1
 
0.1%

소재지전화
Text

MISSING 

Distinct577
Distinct (%)95.8%
Missing487
Missing (%)44.7%
Memory size8.6 KiB
2024-04-18T16:16:55.339378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length9.9601329
Min length7

Characters and Unicode

Total characters5996
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique554 ?
Unique (%)92.0%

Sample

1st row051-634-4739
2nd row526-7580
3rd row1899-7271
4th row051-463-4444
5th row973-1291
ValueCountFrequency (%)
304-6248 3
 
0.5%
521-3001 3
 
0.5%
517-5303 2
 
0.3%
264-7792 2
 
0.3%
051-728-3495 2
 
0.3%
261-4465 2
 
0.3%
336-2145 2
 
0.3%
051-941-5855 2
 
0.3%
051-303-2262 2
 
0.3%
051-723-2816 2
 
0.3%
Other values (567) 580
96.3%
2024-04-18T16:16:55.730634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 852
14.2%
0 806
13.4%
5 782
13.0%
1 710
11.8%
3 530
8.8%
2 524
8.7%
7 415
6.9%
8 364
6.1%
4 338
 
5.6%
6 334
 
5.6%
Other values (4) 341
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5136
85.7%
Dash Punctuation 852
 
14.2%
Close Punctuation 4
 
0.1%
Math Symbol 3
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 806
15.7%
5 782
15.2%
1 710
13.8%
3 530
10.3%
2 524
10.2%
7 415
8.1%
8 364
7.1%
4 338
6.6%
6 334
6.5%
9 333
6.5%
Dash Punctuation
ValueCountFrequency (%)
- 852
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5996
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 852
14.2%
0 806
13.4%
5 782
13.0%
1 710
11.8%
3 530
8.8%
2 524
8.7%
7 415
6.9%
8 364
6.1%
4 338
 
5.6%
6 334
 
5.6%
Other values (4) 341
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5996
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 852
14.2%
0 806
13.4%
5 782
13.0%
1 710
11.8%
3 530
8.8%
2 524
8.7%
7 415
6.9%
8 364
6.1%
4 338
 
5.6%
6 334
 
5.6%
Other values (4) 341
5.7%

소재지면적
Real number (ℝ)

SKEWED  ZEROS 

Distinct275
Distinct (%)25.3%
Missing2
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean97.334867
Minimum0
Maximum16000
Zeros802
Zeros (%)73.6%
Negative0
Negative (%)0.0%
Memory size9.7 KiB
2024-04-18T16:16:55.874407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q332.5
95-th percentile413.046
Maximum16000
Range16000
Interquartile range (IQR)32.5

Descriptive statistics

Standard deviation572.70059
Coefficient of variation (CV)5.8838175
Kurtosis555.01932
Mean97.334867
Median Absolute Deviation (MAD)0
Skewness21.013537
Sum105803
Variance327985.97
MonotonicityNot monotonic
2024-04-18T16:16:56.046975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 802
73.6%
198.0 2
 
0.2%
32.5 2
 
0.2%
492.9 2
 
0.2%
112.24 2
 
0.2%
363.38 2
 
0.2%
247.0 2
 
0.2%
56.55 2
 
0.2%
327.0 2
 
0.2%
60.0 2
 
0.2%
Other values (265) 267
 
24.5%
ValueCountFrequency (%)
0.0 802
73.6%
20.0 1
 
0.1%
22.2 1
 
0.1%
22.44 1
 
0.1%
24.36 1
 
0.1%
26.79 1
 
0.1%
27.0 1
 
0.1%
27.2 1
 
0.1%
28.29 1
 
0.1%
28.47 1
 
0.1%
ValueCountFrequency (%)
16000.0 1
0.1%
4512.54 1
0.1%
3897.0 1
0.1%
3583.0 1
0.1%
2760.0 1
0.1%
2419.0 1
0.1%
2181.0 1
0.1%
1774.8 1
0.1%
1770.6 1
0.1%
1699.4 1
0.1%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1089
Missing (%)100.0%
Memory size9.7 KiB

소재지전체주소
Text

MISSING 

Distinct865
Distinct (%)84.1%
Missing60
Missing (%)5.5%
Memory size8.6 KiB
2024-04-18T16:16:56.626300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length38
Mean length22.018465
Min length12

Characters and Unicode

Total characters22657
Distinct characters221
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

Unique747 ?
Unique (%)72.6%

Sample

1st row부산광역시 남구 문현동 557-82번지
2nd row부산광역시 금정구 서동 118-1번지
3rd row부산광역시 강서구 대저1동 3665-21번지
4th row부산광역시 강서구 강동동 2292번지
5th row부산광역시 강서구 식만동 37번지
ValueCountFrequency (%)
부산광역시 1029
23.8%
강서구 200
 
4.6%
사상구 198
 
4.6%
북구 124
 
2.9%
구포동 95
 
2.2%
기장군 92
 
2.1%
모라동 91
 
2.1%
대저1동 86
 
2.0%
금정구 77
 
1.8%
동래구 68
 
1.6%
Other values (1057) 2270
52.4%
2024-04-18T16:16:57.071220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3303
 
14.6%
1 1171
 
5.2%
산 1133
 
5.0%
부 1126
 
5.0%
동 1104
 
4.9%
구 1046
 
4.6%
광 1040
 
4.6%
시 1031
 
4.6%
역 1030
 
4.5%
- 923
 
4.1%
Other values (211) 9750
43.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13597
60.0%
Decimal Number 4780
 
21.1%
Space Separator 3303
 
14.6%
Dash Punctuation 923
 
4.1%
Uppercase Letter 25
 
0.1%
Open Punctuation 12
 
0.1%
Close Punctuation 12
 
0.1%
Other Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 1133
 
8.3%
부 1126
 
8.3%
동 1104
 
8.1%
구 1046
 
7.7%
광 1040
 
7.6%
시 1031
 
7.6%
역 1030
 
7.6%
지 887
 
6.5%
번 863
 
6.3%
사 301
 
2.2%
Other values (186) 4036
29.7%
Decimal Number
ValueCountFrequency (%)
1 1171
24.5%
2 675
14.1%
3 457
 
9.6%
5 440
 
9.2%
4 430
 
9.0%
7 358
 
7.5%
6 344
 
7.2%
8 336
 
7.0%
9 291
 
6.1%
0 278
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
A 7
28.0%
B 6
24.0%
C 4
16.0%
I 2
 
8.0%
T 2
 
8.0%
Y 1
 
4.0%
M 1
 
4.0%
K 1
 
4.0%
P 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 4
80.0%
@ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
3303
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 923
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13597
60.0%
Common 9035
39.9%
Latin 25
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 1133
 
8.3%
부 1126
 
8.3%
동 1104
 
8.1%
구 1046
 
7.7%
광 1040
 
7.6%
시 1031
 
7.6%
역 1030
 
7.6%
지 887
 
6.5%
번 863
 
6.3%
사 301
 
2.2%
Other values (186) 4036
29.7%
Common
ValueCountFrequency (%)
3303
36.6%
1 1171
 
13.0%
- 923
 
10.2%
2 675
 
7.5%
3 457
 
5.1%
5 440
 
4.9%
4 430
 
4.8%
7 358
 
4.0%
6 344
 
3.8%
8 336
 
3.7%
Other values (6) 598
 
6.6%
Latin
ValueCountFrequency (%)
A 7
28.0%
B 6
24.0%
C 4
16.0%
I 2
 
8.0%
T 2
 
8.0%
Y 1
 
4.0%
M 1
 
4.0%
K 1
 
4.0%
P 1
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13597
60.0%
ASCII 9060
40.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3303
36.5%
1 1171
 
12.9%
- 923
 
10.2%
2 675
 
7.5%
3 457
 
5.0%
5 440
 
4.9%
4 430
 
4.7%
7 358
 
4.0%
6 344
 
3.8%
8 336
 
3.7%
Other values (15) 623
 
6.9%
Hangul
ValueCountFrequency (%)
산 1133
 
8.3%
부 1126
 
8.3%
동 1104
 
8.1%
구 1046
 
7.7%
광 1040
 
7.6%
시 1031
 
7.6%
역 1030
 
7.6%
지 887
 
6.5%
번 863
 
6.3%
사 301
 
2.2%
Other values (186) 4036
29.7%

도로명전체주소
Text

MISSING 

Distinct834
Distinct (%)86.5%
Missing125
Missing (%)11.5%
Memory size8.6 KiB
2024-04-18T16:16:57.367926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length48
Mean length27.848548
Min length19

Characters and Unicode

Total characters26846
Distinct characters287
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

Unique738 ?
Unique (%)76.6%

Sample

1st row부산광역시 남구 고동골로97번길 5 (문현동)
2nd row부산광역시 금정구 금사로 52 (서동)
3rd row부산광역시 강서구 평강로193번길 21-14 (대저1동)
4th row부산광역시 강서구 상덕로119번길 64 (강동동)
5th row부산광역시 강서구 식만로259번길 2-3 (식만동)
ValueCountFrequency (%)
부산광역시 964
 
18.7%
강서구 208
 
4.0%
사상구 155
 
3.0%
북구 140
 
2.7%
구포동 107
 
2.1%
대저1동 86
 
1.7%
기장군 83
 
1.6%
1층 79
 
1.5%
금정구 78
 
1.5%
모라동 70
 
1.4%
Other values (1127) 3173
61.7%
2024-04-18T16:16:57.801562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4179
 
15.6%
동 1224
 
4.6%
산 1121
 
4.2%
부 1081
 
4.0%
1 1073
 
4.0%
구 1021
 
3.8%
시 1004
 
3.7%
광 977
 
3.6%
역 965
 
3.6%
로 908
 
3.4%
Other values (277) 13293
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15970
59.5%
Decimal Number 4440
 
16.5%
Space Separator 4179
 
15.6%
Close Punctuation 897
 
3.3%
Open Punctuation 897
 
3.3%
Other Punctuation 236
 
0.9%
Dash Punctuation 178
 
0.7%
Uppercase Letter 49
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1224
 
7.7%
산 1121
 
7.0%
부 1081
 
6.8%
구 1021
 
6.4%
시 1004
 
6.3%
광 977
 
6.1%
역 965
 
6.0%
로 908
 
5.7%
길 662
 
4.1%
번 614
 
3.8%
Other values (251) 6393
40.0%
Uppercase Letter
ValueCountFrequency (%)
A 17
34.7%
B 13
26.5%
C 8
16.3%
K 2
 
4.1%
D 2
 
4.1%
I 2
 
4.1%
Y 1
 
2.0%
L 1
 
2.0%
M 1
 
2.0%
T 1
 
2.0%
Decimal Number
ValueCountFrequency (%)
1 1073
24.2%
2 614
13.8%
5 482
10.9%
3 482
10.9%
4 365
 
8.2%
7 358
 
8.1%
0 300
 
6.8%
6 276
 
6.2%
9 247
 
5.6%
8 243
 
5.5%
Space Separator
ValueCountFrequency (%)
4179
100.0%
Close Punctuation
ValueCountFrequency (%)
) 897
100.0%
Open Punctuation
ValueCountFrequency (%)
( 897
100.0%
Other Punctuation
ValueCountFrequency (%)
, 236
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 178
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15970
59.5%
Common 10827
40.3%
Latin 49
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1224
 
7.7%
산 1121
 
7.0%
부 1081
 
6.8%
구 1021
 
6.4%
시 1004
 
6.3%
광 977
 
6.1%
역 965
 
6.0%
로 908
 
5.7%
길 662
 
4.1%
번 614
 
3.8%
Other values (251) 6393
40.0%
Common
ValueCountFrequency (%)
4179
38.6%
1 1073
 
9.9%
) 897
 
8.3%
( 897
 
8.3%
2 614
 
5.7%
5 482
 
4.5%
3 482
 
4.5%
4 365
 
3.4%
7 358
 
3.3%
0 300
 
2.8%
Other values (5) 1180
 
10.9%
Latin
ValueCountFrequency (%)
A 17
34.7%
B 13
26.5%
C 8
16.3%
K 2
 
4.1%
D 2
 
4.1%
I 2
 
4.1%
Y 1
 
2.0%
L 1
 
2.0%
M 1
 
2.0%
T 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15970
59.5%
ASCII 10876
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4179
38.4%
1 1073
 
9.9%
) 897
 
8.2%
( 897
 
8.2%
2 614
 
5.6%
5 482
 
4.4%
3 482
 
4.4%
4 365
 
3.4%
7 358
 
3.3%
0 300
 
2.8%
Other values (16) 1229
 
11.3%
Hangul
ValueCountFrequency (%)
동 1224
 
7.7%
산 1121
 
7.0%
부 1081
 
6.8%
구 1021
 
6.4%
시 1004
 
6.3%
광 977
 
6.1%
역 965
 
6.0%
로 908
 
5.7%
길 662
 
4.1%
번 614
 
3.8%
Other values (251) 6393
40.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct344
Distinct (%)44.2%
Missing311
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean48524.51
Minimum46004
Maximum609420
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.7 KiB
2024-04-18T16:16:57.926478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46004
5-th percentile46056
Q146641
median46763
Q347546
95-th percentile49101.1
Maximum609420
Range563416
Interquartile range (IQR)905

Descriptive statistics

Standard deviation28446.773
Coefficient of variation (CV)0.58623513
Kurtosis385.84559
Mean48524.51
Median Absolute Deviation (MAD)259
Skewness19.660279
Sum37752069
Variance8.0921887 × 108
MonotonicityNot monotonic
2024-04-18T16:16:58.094036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46916 48
 
4.4%
46706 37
 
3.4%
46504 34
 
3.1%
46702 26
 
2.4%
46703 24
 
2.2%
46901 22
 
2.0%
46723 17
 
1.6%
46704 12
 
1.1%
46701 10
 
0.9%
46700 10
 
0.9%
Other values (334) 538
49.4%
(Missing) 311
28.6%
ValueCountFrequency (%)
46004 1
 
0.1%
46006 1
 
0.1%
46008 1
 
0.1%
46013 1
 
0.1%
46018 1
 
0.1%
46020 2
0.2%
46022 3
0.3%
46023 1
 
0.1%
46024 3
0.3%
46026 2
0.2%
ValueCountFrequency (%)
609420 1
 
0.1%
607111 1
 
0.1%
49526 2
0.2%
49511 1
 
0.1%
49494 1
 
0.1%
49493 1
 
0.1%
49482 1
 
0.1%
49479 4
0.4%
49478 1
 
0.1%
49469 1
 
0.1%

사업장명
Text

Distinct988
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
2024-04-18T16:16:58.375799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length18
Mean length5.84573
Min length2

Characters and Unicode

Total characters6366
Distinct characters411
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique901 ?
Unique (%)82.7%

Sample

1st row동해식품
2nd row유진식품
3rd row(주)이화육가공
4th row(주)통일축산
5th row다인유통
ValueCountFrequency (%)
주식회사 64
 
5.2%
축산 8
 
0.6%
유통 6
 
0.5%
농업회사법인 5
 
0.4%
푸드 5
 
0.4%
하나식품 4
 
0.3%
미트 4
 
0.3%
유진식품 4
 
0.3%
하나로축산 3
 
0.2%
대성식품 3
 
0.2%
Other values (1015) 1129
91.4%
2024-04-18T16:16:58.751005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 367
 
5.8%
식 306
 
4.8%
) 287
 
4.5%
( 284
 
4.5%
산 281
 
4.4%
품 220
 
3.5%
드 211
 
3.3%
푸 208
 
3.3%
축 202
 
3.2%
유 185
 
2.9%
Other values (401) 3815
59.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5439
85.4%
Close Punctuation 287
 
4.5%
Open Punctuation 284
 
4.5%
Uppercase Letter 155
 
2.4%
Space Separator 146
 
2.3%
Other Punctuation 25
 
0.4%
Lowercase Letter 18
 
0.3%
Decimal Number 10
 
0.2%
Dash Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 367
 
6.7%
식 306
 
5.6%
산 281
 
5.2%
품 220
 
4.0%
드 211
 
3.9%
푸 208
 
3.8%
축 202
 
3.7%
유 185
 
3.4%
통 171
 
3.1%
사 101
 
1.9%
Other values (354) 3187
58.6%
Uppercase Letter
ValueCountFrequency (%)
F 22
14.2%
S 14
 
9.0%
O 11
 
7.1%
C 11
 
7.1%
A 11
 
7.1%
T 10
 
6.5%
K 10
 
6.5%
M 10
 
6.5%
G 8
 
5.2%
D 8
 
5.2%
Other values (13) 40
25.8%
Lowercase Letter
ValueCountFrequency (%)
e 5
27.8%
o 3
16.7%
a 2
 
11.1%
t 2
 
11.1%
n 2
 
11.1%
d 2
 
11.1%
m 1
 
5.6%
l 1
 
5.6%
Decimal Number
ValueCountFrequency (%)
2 4
40.0%
1 2
20.0%
6 1
 
10.0%
9 1
 
10.0%
3 1
 
10.0%
7 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
& 16
64.0%
. 5
 
20.0%
/ 2
 
8.0%
' 1
 
4.0%
· 1
 
4.0%
Close Punctuation
ValueCountFrequency (%)
) 287
100.0%
Open Punctuation
ValueCountFrequency (%)
( 284
100.0%
Space Separator
ValueCountFrequency (%)
146
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Math Symbol
ValueCountFrequency (%)
= 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5439
85.4%
Common 754
 
11.8%
Latin 173
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 367
 
6.7%
식 306
 
5.6%
산 281
 
5.2%
품 220
 
4.0%
드 211
 
3.9%
푸 208
 
3.8%
축 202
 
3.7%
유 185
 
3.4%
통 171
 
3.1%
사 101
 
1.9%
Other values (354) 3187
58.6%
Latin
ValueCountFrequency (%)
F 22
 
12.7%
S 14
 
8.1%
O 11
 
6.4%
C 11
 
6.4%
A 11
 
6.4%
T 10
 
5.8%
K 10
 
5.8%
M 10
 
5.8%
G 8
 
4.6%
D 8
 
4.6%
Other values (21) 58
33.5%
Common
ValueCountFrequency (%)
) 287
38.1%
( 284
37.7%
146
19.4%
& 16
 
2.1%
. 5
 
0.7%
2 4
 
0.5%
1 2
 
0.3%
/ 2
 
0.3%
6 1
 
0.1%
9 1
 
0.1%
Other values (6) 6
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5439
85.4%
ASCII 926
 
14.5%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 367
 
6.7%
식 306
 
5.6%
산 281
 
5.2%
품 220
 
4.0%
드 211
 
3.9%
푸 208
 
3.8%
축 202
 
3.7%
유 185
 
3.4%
통 171
 
3.1%
사 101
 
1.9%
Other values (354) 3187
58.6%
ASCII
ValueCountFrequency (%)
) 287
31.0%
( 284
30.7%
146
15.8%
F 22
 
2.4%
& 16
 
1.7%
S 14
 
1.5%
O 11
 
1.2%
C 11
 
1.2%
A 11
 
1.2%
T 10
 
1.1%
Other values (36) 114
 
12.3%
None
ValueCountFrequency (%)
· 1
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct1089
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0162211 × 1013
Minimum2.004081 × 1013
Maximum2.021043 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.7 KiB
2024-04-18T16:16:58.889470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.004081 × 1013
5-th percentile2.0070345 × 1013
Q12.0140616 × 1013
median2.0180131 × 1013
Q32.0191126 × 1013
95-th percentile2.0210123 × 1013
Maximum2.021043 × 1013
Range1.6961996 × 1011
Interquartile range (IQR)5.0509955 × 1010

Descriptive statistics

Standard deviation4.3096065 × 1010
Coefficient of variation (CV)0.0021374672
Kurtosis0.33613141
Mean2.0162211 × 1013
Median Absolute Deviation (MAD)2.0292985 × 1010
Skewness-1.1392146
Sum2.1956647 × 1016
Variance1.8572708 × 1021
MonotonicityNot monotonic
2024-04-18T16:16:59.023939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180308123859 1
 
0.1%
20170411093300 1
 
0.1%
20190228091413 1
 
0.1%
20170901162725 1
 
0.1%
20200427152233 1
 
0.1%
20191111165521 1
 
0.1%
20160304151336 1
 
0.1%
20171116105416 1
 
0.1%
20140515103253 1
 
0.1%
20200217110559 1
 
0.1%
Other values (1079) 1079
99.1%
ValueCountFrequency (%)
20040810135436 1
0.1%
20040810164034 1
0.1%
20040812151521 1
0.1%
20040813113344 1
0.1%
20040831163127 1
0.1%
20040831173917 1
0.1%
20040915130650 1
0.1%
20041112132021 1
0.1%
20041126101321 1
0.1%
20050112141108 1
0.1%
ValueCountFrequency (%)
20210430095938 1
0.1%
20210429171009 1
0.1%
20210423174800 1
0.1%
20210422170100 1
0.1%
20210422145955 1
0.1%
20210421090944 1
0.1%
20210420161550 1
0.1%
20210415134509 1
0.1%
20210415105005 1
0.1%
20210412180109 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
I
766 
U
323 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 766
70.3%
U 323
29.7%

Length

2024-04-18T16:16:59.144526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:16:59.226342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 766
70.3%
u 323
29.7%

데이터갱신일자
Date

Distinct341
Distinct (%)31.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Minimum2018-08-31 23:59:59
Maximum2021-05-02 02:40:00
2024-04-18T16:16:59.326605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T16:16:59.453243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1089
Missing (%)100.0%
Memory size9.7 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct819
Distinct (%)77.9%
Missing37
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean385198.14
Minimum366799.22
Maximum407871.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.7 KiB
2024-04-18T16:16:59.577198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum366799.22
5-th percentile375804.42
Q1380459.76
median382005.89
Q3390507.27
95-th percentile401019.72
Maximum407871.51
Range41072.292
Interquartile range (IQR)10047.509

Descriptive statistics

Standard deviation7511.8781
Coefficient of variation (CV)0.019501336
Kurtosis-0.12380037
Mean385198.14
Median Absolute Deviation (MAD)4695.3351
Skewness0.61285339
Sum4.0522844 × 108
Variance56428313
MonotonicityNot monotonic
2024-04-18T16:16:59.693748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
381129.15127391 8
 
0.7%
380958.320754697 6
 
0.6%
381077.868225122 6
 
0.6%
381020.178506769 5
 
0.5%
381112.021887476 5
 
0.5%
376386.819494079 5
 
0.5%
386841.03065394 5
 
0.5%
379063.620305648 4
 
0.4%
380930.967795673 4
 
0.4%
380984.029198386 4
 
0.4%
Other values (809) 1000
91.8%
(Missing) 37
 
3.4%
ValueCountFrequency (%)
366799.216536177 1
0.1%
368051.366514748 2
0.2%
368654.854713562 1
0.1%
369145.646646418 2
0.2%
369330.390451594 2
0.2%
369415.701276251 1
0.1%
369562.400873148 1
0.1%
370249.0 1
0.1%
370436.556839339 1
0.1%
370842.095948703 1
0.1%
ValueCountFrequency (%)
407871.508884898 1
 
0.1%
407564.774795629 1
 
0.1%
405362.795594286 1
 
0.1%
404974.019911782 1
 
0.1%
404362.185998065 1
 
0.1%
404174.007272886 1
 
0.1%
403999.58300105 4
0.4%
403361.747567501 1
 
0.1%
402653.324632719 1
 
0.1%
402641.485806737 1
 
0.1%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct820
Distinct (%)77.9%
Missing37
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean189512.16
Minimum174428.42
Maximum207175.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.7 KiB
2024-04-18T16:16:59.812629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174428.42
5-th percentile177857.38
Q1186736.47
median190300.1
Q3192390.47
95-th percentile197491.47
Maximum207175.03
Range32746.613
Interquartile range (IQR)5654.0045

Descriptive statistics

Standard deviation5543.53
Coefficient of variation (CV)0.02925158
Kurtosis1.0757475
Mean189512.16
Median Absolute Deviation (MAD)2443.4913
Skewness-0.14429671
Sum1.9936679 × 108
Variance30730725
MonotonicityNot monotonic
2024-04-18T16:16:59.938334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
184227.341980607 7
 
0.6%
190338.842631857 6
 
0.6%
190065.417663202 6
 
0.6%
190406.577907013 5
 
0.5%
192522.95492894 5
 
0.5%
190217.437879203 5
 
0.5%
190435.092628939 5
 
0.5%
190165.368144222 4
 
0.4%
176789.156786307 4
 
0.4%
179666.440668441 4
 
0.4%
Other values (810) 1001
91.9%
(Missing) 37
 
3.4%
ValueCountFrequency (%)
174428.418993288 1
0.1%
174559.454973096 2
0.2%
174577.633592265 1
0.1%
174725.474261659 1
0.1%
175246.766800694 1
0.1%
175257.604919985 1
0.1%
175272.551957557 2
0.2%
175319.158484153 1
0.1%
176324.731791199 1
0.1%
176329.790234569 1
0.1%
ValueCountFrequency (%)
207175.031988611 1
 
0.1%
206512.517255249 1
 
0.1%
205752.955372595 1
 
0.1%
205478.756319943 4
0.4%
205470.369931726 1
 
0.1%
205389.277197702 1
 
0.1%
205382.553682 1
 
0.1%
205365.824217044 1
 
0.1%
205324.490964 1
 
0.1%
205316.406977 1
 
0.1%

축산업무구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
식육포장처리업
1087 
<NA>
 
2

Length

Max length7
Median length7
Mean length6.9944904
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육포장처리업 1087
99.8%
<NA> 2
 
0.2%

Length

2024-04-18T16:17:00.066876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:17:00.172474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육포장처리업 1087
99.8%
na 2
 
0.2%

축산물가공업구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
식육포장처리업
1087 
<NA>
 
2

Length

Max length7
Median length7
Mean length6.9944904
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육포장처리업 1087
99.8%
<NA> 2
 
0.2%

Length

2024-04-18T16:17:00.309219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:17:00.403348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육포장처리업 1087
99.8%
na 2
 
0.2%

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1089
Missing (%)100.0%
Memory size9.7 KiB

권리주체일련번호
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
000
764 
L00
323 
<NA>
 
2

Length

Max length4
Median length3
Mean length3.0018365
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
000 764
70.2%
L00 323
29.7%
<NA> 2
 
0.2%

Length

2024-04-18T16:17:00.496379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:17:00.589788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 764
70.2%
l00 323
29.7%
na 2
 
0.2%

총종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1089
Missing (%)100.0%
Memory size9.7 KiB

Unnamed: 33
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1089
Missing (%)100.0%
Memory size9.7 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총종업원수Unnamed: 33
01식육포장처리업07_22_06_P331000033100000041969000119690708<NA>4취소/말소/만료/정지/중지4말소20180308<NA><NA><NA>051-634-4739105.6<NA>부산광역시 남구 문현동 557-82번지부산광역시 남구 고동골로97번길 5 (문현동)<NA>동해식품20180308123859I2018-08-31 23:59:59.0<NA>388769.477823184933.961018식육포장처리업식육포장처리업<NA>000<NA><NA>
12식육포장처리업07_22_06_P335000033500000042005000320051220<NA>4취소/말소/만료/정지/중지4말소20160901<NA><NA><NA>526-7580100.8<NA>부산광역시 금정구 서동 118-1번지부산광역시 금정구 금사로 52 (서동)<NA>유진식품20161211135756I2018-08-31 23:59:59.0<NA>392015.452566192988.241697식육포장처리업식육포장처리업<NA>000<NA><NA>
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번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총종업원수Unnamed: 33
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