Overview

Dataset statistics

Number of variables34
Number of observations1071
Missing cells8101
Missing cells (%)22.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory306.6 KiB
Average record size in memory293.1 B

Variable types

Numeric10
Categorical13
Unsupported6
Text4
DateTime1

Dataset

Description2021-01-04
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 (53.3%)Imbalance
상세영업상태명 is highly imbalanced (53.3%)Imbalance
휴업시작일자 is highly imbalanced (98.1%)Imbalance
휴업종료일자 is highly imbalanced (98.1%)Imbalance
재개업일자 is highly imbalanced (98.1%)Imbalance
축산업무구분명 is highly imbalanced (98.0%)Imbalance
축산물가공업구분명 is highly imbalanced (98.0%)Imbalance
인허가취소일자 has 1071 (100.0%) missing valuesMissing
폐업일자 has 632 (59.0%) missing valuesMissing
소재지전화 has 471 (44.0%) missing valuesMissing
소재지우편번호 has 1071 (100.0%) missing valuesMissing
소재지전체주소 has 60 (5.6%) missing valuesMissing
도로명전체주소 has 125 (11.7%) missing valuesMissing
도로명우편번호 has 311 (29.0%) missing valuesMissing
업태구분명 has 1071 (100.0%) missing valuesMissing
좌표정보(x) has 37 (3.5%) missing valuesMissing
좌표정보(y) has 37 (3.5%) missing valuesMissing
축산일련번호 has 1071 (100.0%) missing valuesMissing
총종업원수 has 1071 (100.0%) missing valuesMissing
Unnamed: 33 has 1071 (100.0%) missing valuesMissing
소재지면적 is highly skewed (γ1 = 20.84996551)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 785 (73.3%) zerosZeros

Reproduction

Analysis started2024-04-18 07:16:03.474716
Analysis finished2024-04-18 07:16:04.216986
Duration0.74 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1071
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean536
Minimum1
Maximum1071
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.5 KiB
2024-04-18T16:16:04.284218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile54.5
Q1268.5
median536
Q3803.5
95-th percentile1017.5
Maximum1071
Range1070
Interquartile range (IQR)535

Descriptive statistics

Standard deviation309.31537
Coefficient of variation (CV)0.57708092
Kurtosis-1.2
Mean536
Median Absolute Deviation (MAD)268
Skewness0
Sum574056
Variance95676
MonotonicityStrictly increasing
2024-04-18T16:16:04.408742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
721 1
 
0.1%
707 1
 
0.1%
708 1
 
0.1%
709 1
 
0.1%
710 1
 
0.1%
711 1
 
0.1%
712 1
 
0.1%
713 1
 
0.1%
714 1
 
0.1%
Other values (1061) 1061
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 (%)
1071 1
0.1%
1070 1
0.1%
1069 1
0.1%
1068 1
0.1%
1067 1
0.1%
1066 1
0.1%
1065 1
0.1%
1064 1
0.1%
1063 1
0.1%
1062 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
식육포장처리업
1071 

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 1071
100.0%

Length

2024-04-18T16:16:04.522672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:16:04.600285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육포장처리업 1071
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
07_22_06_P
1071 

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 1071
100.0%

Length

2024-04-18T16:16:04.685831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:16:04.764508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_06_p 1071
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3349523.8
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.5 KiB
2024-04-18T16:16:04.852271image/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 deviation35137.343
Coefficient of variation (CV)0.01049025
Kurtosis-0.97391896
Mean3349523.8
Median Absolute Deviation (MAD)30000
Skewness-0.25018823
Sum3.58734 × 109
Variance1.2346328 × 109
MonotonicityNot monotonic
2024-04-18T16:16:04.960321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3360000 203
19.0%
3390000 196
18.3%
3320000 144
13.4%
3400000 89
8.3%
3350000 74
 
6.9%
3300000 71
 
6.6%
3340000 67
 
6.3%
3290000 64
 
6.0%
3330000 57
 
5.3%
3310000 33
 
3.1%
Other values (6) 73
 
6.8%
ValueCountFrequency (%)
3250000 2
 
0.2%
3260000 1
 
0.1%
3270000 9
 
0.8%
3280000 5
 
0.5%
3290000 64
6.0%
3300000 71
6.6%
3310000 33
 
3.1%
3320000 144
13.4%
3330000 57
 
5.3%
3340000 67
6.3%
ValueCountFrequency (%)
3400000 89
8.3%
3390000 196
18.3%
3380000 25
 
2.3%
3370000 31
 
2.9%
3360000 203
19.0%
3350000 74
 
6.9%
3340000 67
 
6.3%
3330000 57
 
5.3%
3320000 144
13.4%
3310000 33
 
3.1%

관리번호
Real number (ℝ)

UNIQUE 

Distinct1071
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3495239 × 1017
Minimum3.2500001 × 1017
Maximum3.4000001 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.5 KiB
2024-04-18T16:16:05.142837image/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 deviation3.5137347 × 1015
Coefficient of variation (CV)0.010490251
Kurtosis-0.9739194
Mean3.3495239 × 1017
Median Absolute Deviation (MAD)3.00001 × 1015
Skewness-0.25018819
Sum8.2458703 × 1018
Variance1.2346331 × 1031
MonotonicityNot monotonic
2024-04-18T16:16:05.288388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
331000000419690001 1
 
0.1%
336000010420150001 1
 
0.1%
336000010420140002 1
 
0.1%
336000010420130002 1
 
0.1%
336000010420130003 1
 
0.1%
336000010420130004 1
 
0.1%
336000010420130007 1
 
0.1%
336000010420130008 1
 
0.1%
336000010420130009 1
 
0.1%
336000010420170005 1
 
0.1%
Other values (1061) 1061
99.1%
ValueCountFrequency (%)
325000010420140001 1
0.1%
325000010420160001 1
0.1%
326000000420040001 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%
327000010420130001 1
0.1%
ValueCountFrequency (%)
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%
340000010420200001 1
0.1%
340000010420190011 1
0.1%
340000010420190010 1
0.1%

인허가일자
Real number (ℝ)

Distinct864
Distinct (%)80.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20115816
Minimum19690708
Maximum20201230
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.5 KiB
2024-04-18T16:16:05.432916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19690708
5-th percentile20000115
Q120070718
median20130402
Q320171110
95-th percentile20200318
Maximum20201230
Range510522
Interquartile range (IQR)100391.5

Descriptive statistics

Standard deviation66581.157
Coefficient of variation (CV)0.0033098909
Kurtosis1.0051104
Mean20115816
Median Absolute Deviation (MAD)50002
Skewness-0.81804368
Sum2.1544039 × 1010
Variance4.4330504 × 109
MonotonicityNot monotonic
2024-04-18T16:16:05.572836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20040913 9
 
0.8%
20200221 6
 
0.6%
20190722 5
 
0.5%
20130701 5
 
0.5%
20090827 5
 
0.5%
20021028 5
 
0.5%
20200123 4
 
0.4%
20200211 4
 
0.4%
20130823 4
 
0.4%
20200311 4
 
0.4%
Other values (854) 1020
95.2%
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 (%)
20201230 1
 
0.1%
20201229 1
 
0.1%
20201228 2
0.2%
20201223 1
 
0.1%
20201211 1
 
0.1%
20201125 1
 
0.1%
20201123 1
 
0.1%
20201027 1
 
0.1%
20201021 1
 
0.1%
20201020 3
0.3%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1071
Missing (%)100.0%
Memory size9.5 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
1
625 
3
431 
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
58.4%
3 431
40.2%
4 11
 
1.0%
2 4
 
0.4%

Length

2024-04-18T16:16:05.686842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:16:05.777664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 625
58.4%
3 431
40.2%
4 11
 
1.0%
2 4
 
0.4%

영업상태명
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
영업/정상
625 
폐업
431 
취소/말소/만료/정지/중지
 
11
휴업
 
4

Length

Max length14
Median length5
Mean length3.8739496
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
58.4%
폐업 431
40.2%
취소/말소/만료/정지/중지 11
 
1.0%
휴업 4
 
0.4%

Length

2024-04-18T16:16:05.880602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:16:05.976749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 625
58.4%
폐업 431
40.2%
취소/말소/만료/정지/중지 11
 
1.0%
휴업 4
 
0.4%

상세영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
0
625 
2
431 
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
58.4%
2 431
40.2%
4 10
 
0.9%
1 4
 
0.4%
3 1
 
0.1%

Length

2024-04-18T16:16:06.075801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:16:06.161529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 625
58.4%
2 431
40.2%
4 10
 
0.9%
1 4
 
0.4%
3 1
 
0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
정상
625 
폐업
431 
말소
 
10
휴업
 
4
행정처분
 
1

Length

Max length4
Median length2
Mean length2.0018674
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
정상 625
58.4%
폐업 431
40.2%
말소 10
 
0.9%
휴업 4
 
0.4%
행정처분 1
 
0.1%

Length

2024-04-18T16:16:06.271787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:16:06.374316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 625
58.4%
폐업 431
40.2%
말소 10
 
0.9%
휴업 4
 
0.4%
행정처분 1
 
0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct392
Distinct (%)89.3%
Missing632
Missing (%)59.0%
Infinite0
Infinite (%)0.0%
Mean20133722
Minimum20030430
Maximum20201230
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.5 KiB
2024-04-18T16:16:06.487407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20030430
5-th percentile20051223
Q120090864
median20140306
Q320170715
95-th percentile20200305
Maximum20201230
Range170800
Interquartile range (IQR)79851.5

Descriptive statistics

Standard deviation46207.647
Coefficient of variation (CV)0.0022950375
Kurtosis-1.0726491
Mean20133722
Median Absolute Deviation (MAD)39284
Skewness-0.31550718
Sum8.8387038 × 109
Variance2.1351466 × 109
MonotonicityNot monotonic
2024-04-18T16:16:06.626970image/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%
20140128 3
 
0.3%
20080401 3
 
0.3%
20200309 3
 
0.3%
20170104 2
 
0.2%
20191112 2
 
0.2%
20151203 2
 
0.2%
20151231 2
 
0.2%
Other values (382) 409
38.2%
(Missing) 632
59.0%
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 (%)
20201230 1
0.1%
20201221 1
0.1%
20201215 1
0.1%
20201204 2
0.2%
20201119 2
0.2%
20201113 2
0.2%
20200827 1
0.1%
20200727 1
0.1%
20200703 1
0.1%
20200630 1
0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
<NA>
1067 
20100401
 
1
20171011
 
1
20090525
 
1
20191001
 
1

Length

Max length8
Median length4
Mean length4.0149393
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> 1067
99.6%
20100401 1
 
0.1%
20171011 1
 
0.1%
20090525 1
 
0.1%
20191001 1
 
0.1%

Length

2024-04-18T16:16:06.758451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:16:06.861818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1067
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 size8.5 KiB
<NA>
1067 
20110331
 
1
20181231
 
1
20100524
 
1
20201001
 
1

Length

Max length8
Median length4
Mean length4.0149393
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> 1067
99.6%
20110331 1
 
0.1%
20181231 1
 
0.1%
20100524 1
 
0.1%
20201001 1
 
0.1%

Length

2024-04-18T16:16:06.969564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:16:07.071979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1067
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 size8.5 KiB
<NA>
1067 
20040916
 
1
20180226
 
1
20040913
 
1
20170521
 
1

Length

Max length8
Median length4
Mean length4.0149393
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> 1067
99.6%
20040916 1
 
0.1%
20180226 1
 
0.1%
20040913 1
 
0.1%
20170521 1
 
0.1%

Length

2024-04-18T16:16:07.195324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:16:07.303262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1067
99.6%
20040916 1
 
0.1%
20180226 1
 
0.1%
20040913 1
 
0.1%
20170521 1
 
0.1%

소재지전화
Text

MISSING 

Distinct575
Distinct (%)95.8%
Missing471
Missing (%)44.0%
Memory size8.5 KiB
2024-04-18T16:16:07.548721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length9.965
Min length7

Characters and Unicode

Total characters5979
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

Unique552 ?
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%
051-971-3000 2
 
0.3%
517-5303 2
 
0.3%
302-2831 2
 
0.3%
051-303-2262 2
 
0.3%
261-4465 2
 
0.3%
264-7792 2
 
0.3%
802-6317 2
 
0.3%
051-941-5520 2
 
0.3%
Other values (565) 578
96.3%
2024-04-18T16:16:07.932915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 852
14.2%
0 803
13.4%
5 777
13.0%
1 706
11.8%
3 531
8.9%
2 523
8.7%
7 412
6.9%
8 363
6.1%
4 339
 
5.7%
6 334
 
5.6%
Other values (4) 339
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5119
85.6%
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 (%)
0 803
15.7%
5 777
15.2%
1 706
13.8%
3 531
10.4%
2 523
10.2%
7 412
8.0%
8 363
7.1%
4 339
6.6%
6 334
6.5%
9 331
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 5979
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 852
14.2%
0 803
13.4%
5 777
13.0%
1 706
11.8%
3 531
8.9%
2 523
8.7%
7 412
6.9%
8 363
6.1%
4 339
 
5.7%
6 334
 
5.6%
Other values (4) 339
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5979
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 852
14.2%
0 803
13.4%
5 777
13.0%
1 706
11.8%
3 531
8.9%
2 523
8.7%
7 412
6.9%
8 363
6.1%
4 339
 
5.7%
6 334
 
5.6%
Other values (4) 339
 
5.7%

소재지면적
Real number (ℝ)

SKEWED  ZEROS 

Distinct274
Distinct (%)25.6%
Missing2
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean98.698784
Minimum0
Maximum16000
Zeros785
Zeros (%)73.3%
Negative0
Negative (%)0.0%
Memory size9.5 KiB
2024-04-18T16:16:08.071265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q335.6
95-th percentile416.112
Maximum16000
Range16000
Interquartile range (IQR)35.6

Descriptive statistics

Standard deviation577.343
Coefficient of variation (CV)5.8495452
Kurtosis546.24556
Mean98.698784
Median Absolute Deviation (MAD)0
Skewness20.849966
Sum105509
Variance333324.94
MonotonicityNot monotonic
2024-04-18T16:16:08.207681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 785
73.3%
60.0 2
 
0.2%
492.9 2
 
0.2%
112.24 2
 
0.2%
56.55 2
 
0.2%
1325.0 2
 
0.2%
327.0 2
 
0.2%
247.0 2
 
0.2%
198.0 2
 
0.2%
330.0 2
 
0.2%
Other values (264) 266
 
24.8%
ValueCountFrequency (%)
0.0 785
73.3%
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 

Missing1071
Missing (%)100.0%
Memory size9.5 KiB

소재지전체주소
Text

MISSING 

Distinct840
Distinct (%)83.1%
Missing60
Missing (%)5.6%
Memory size8.5 KiB
2024-04-18T16:16:08.491235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length42
Mean length22.089021
Min length12

Characters and Unicode

Total characters22332
Distinct characters217
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

Unique719 ?
Unique (%)71.1%

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 1011
23.8%
사상구 196
 
4.6%
강서구 192
 
4.5%
북구 123
 
2.9%
구포동 94
 
2.2%
모라동 89
 
2.1%
기장군 89
 
2.1%
대저1동 79
 
1.9%
금정구 73
 
1.7%
동래구 69
 
1.6%
Other values (1026) 2235
52.6%
2024-04-18T16:16:08.925845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3241
 
14.5%
1 1149
 
5.1%
산 1114
 
5.0%
부 1106
 
5.0%
동 1089
 
4.9%
구 1028
 
4.6%
광 1022
 
4.6%
시 1013
 
4.5%
역 1011
 
4.5%
지 923
 
4.1%
Other values (207) 9636
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13447
60.2%
Decimal Number 4683
 
21.0%
Space Separator 3241
 
14.5%
Dash Punctuation 907
 
4.1%
Uppercase Letter 25
 
0.1%
Close Punctuation 12
 
0.1%
Open Punctuation 12
 
0.1%
Other Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 1114
 
8.3%
부 1106
 
8.2%
동 1089
 
8.1%
구 1028
 
7.6%
광 1022
 
7.6%
시 1013
 
7.5%
역 1011
 
7.5%
지 923
 
6.9%
번 899
 
6.7%
사 299
 
2.2%
Other values (182) 3943
29.3%
Decimal Number
ValueCountFrequency (%)
1 1149
24.5%
2 653
13.9%
3 449
 
9.6%
5 433
 
9.2%
4 423
 
9.0%
7 351
 
7.5%
6 340
 
7.3%
8 327
 
7.0%
9 285
 
6.1%
0 273
 
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%
P 1
 
4.0%
K 1
 
4.0%
M 1
 
4.0%
Y 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 4
80.0%
@ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
3241
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 907
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13447
60.2%
Common 8860
39.7%
Latin 25
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 1114
 
8.3%
부 1106
 
8.2%
동 1089
 
8.1%
구 1028
 
7.6%
광 1022
 
7.6%
시 1013
 
7.5%
역 1011
 
7.5%
지 923
 
6.9%
번 899
 
6.7%
사 299
 
2.2%
Other values (182) 3943
29.3%
Common
ValueCountFrequency (%)
3241
36.6%
1 1149
 
13.0%
- 907
 
10.2%
2 653
 
7.4%
3 449
 
5.1%
5 433
 
4.9%
4 423
 
4.8%
7 351
 
4.0%
6 340
 
3.8%
8 327
 
3.7%
Other values (6) 587
 
6.6%
Latin
ValueCountFrequency (%)
A 7
28.0%
B 6
24.0%
C 4
16.0%
I 2
 
8.0%
T 2
 
8.0%
P 1
 
4.0%
K 1
 
4.0%
M 1
 
4.0%
Y 1
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13447
60.2%
ASCII 8885
39.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3241
36.5%
1 1149
 
12.9%
- 907
 
10.2%
2 653
 
7.3%
3 449
 
5.1%
5 433
 
4.9%
4 423
 
4.8%
7 351
 
4.0%
6 340
 
3.8%
8 327
 
3.7%
Other values (15) 612
 
6.9%
Hangul
ValueCountFrequency (%)
산 1114
 
8.3%
부 1106
 
8.2%
동 1089
 
8.1%
구 1028
 
7.6%
광 1022
 
7.6%
시 1013
 
7.5%
역 1011
 
7.5%
지 923
 
6.9%
번 899
 
6.7%
사 299
 
2.2%
Other values (182) 3943
29.3%

도로명전체주소
Text

MISSING 

Distinct820
Distinct (%)86.7%
Missing125
Missing (%)11.7%
Memory size8.5 KiB
2024-04-18T16:16:09.236951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length48
Mean length27.826638
Min length19

Characters and Unicode

Total characters26324
Distinct characters284
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

Unique726 ?
Unique (%)76.7%

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 946
 
18.8%
강서구 200
 
4.0%
사상구 153
 
3.0%
북구 139
 
2.8%
구포동 106
 
2.1%
기장군 80
 
1.6%
대저1동 79
 
1.6%
1층 76
 
1.5%
금정구 74
 
1.5%
모라동 68
 
1.3%
Other values (1115) 3122
61.9%
2024-04-18T16:16:09.760399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4097
 
15.6%
동 1206
 
4.6%
산 1101
 
4.2%
부 1059
 
4.0%
1 1049
 
4.0%
구 1004
 
3.8%
시 986
 
3.7%
광 959
 
3.6%
역 946
 
3.6%
로 891
 
3.4%
Other values (274) 13026
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15670
59.5%
Decimal Number 4345
 
16.5%
Space Separator 4097
 
15.6%
Open Punctuation 882
 
3.4%
Close Punctuation 882
 
3.4%
Other Punctuation 225
 
0.9%
Dash Punctuation 177
 
0.7%
Uppercase Letter 46
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1206
 
7.7%
산 1101
 
7.0%
부 1059
 
6.8%
구 1004
 
6.4%
시 986
 
6.3%
광 959
 
6.1%
역 946
 
6.0%
로 891
 
5.7%
길 651
 
4.2%
번 605
 
3.9%
Other values (248) 6262
40.0%
Uppercase Letter
ValueCountFrequency (%)
A 16
34.8%
B 12
26.1%
C 7
15.2%
I 2
 
4.3%
K 2
 
4.3%
D 2
 
4.3%
Y 1
 
2.2%
M 1
 
2.2%
T 1
 
2.2%
E 1
 
2.2%
Decimal Number
ValueCountFrequency (%)
1 1049
24.1%
2 593
13.6%
5 476
11.0%
3 473
10.9%
4 363
 
8.4%
7 351
 
8.1%
0 291
 
6.7%
6 268
 
6.2%
9 242
 
5.6%
8 239
 
5.5%
Space Separator
ValueCountFrequency (%)
4097
100.0%
Open Punctuation
ValueCountFrequency (%)
( 882
100.0%
Close Punctuation
ValueCountFrequency (%)
) 882
100.0%
Other Punctuation
ValueCountFrequency (%)
, 225
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 177
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15670
59.5%
Common 10608
40.3%
Latin 46
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1206
 
7.7%
산 1101
 
7.0%
부 1059
 
6.8%
구 1004
 
6.4%
시 986
 
6.3%
광 959
 
6.1%
역 946
 
6.0%
로 891
 
5.7%
길 651
 
4.2%
번 605
 
3.9%
Other values (248) 6262
40.0%
Common
ValueCountFrequency (%)
4097
38.6%
1 1049
 
9.9%
( 882
 
8.3%
) 882
 
8.3%
2 593
 
5.6%
5 476
 
4.5%
3 473
 
4.5%
4 363
 
3.4%
7 351
 
3.3%
0 291
 
2.7%
Other values (5) 1151
 
10.9%
Latin
ValueCountFrequency (%)
A 16
34.8%
B 12
26.1%
C 7
15.2%
I 2
 
4.3%
K 2
 
4.3%
D 2
 
4.3%
Y 1
 
2.2%
M 1
 
2.2%
T 1
 
2.2%
E 1
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15670
59.5%
ASCII 10654
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4097
38.5%
1 1049
 
9.8%
( 882
 
8.3%
) 882
 
8.3%
2 593
 
5.6%
5 476
 
4.5%
3 473
 
4.4%
4 363
 
3.4%
7 351
 
3.3%
0 291
 
2.7%
Other values (16) 1197
 
11.2%
Hangul
ValueCountFrequency (%)
동 1206
 
7.7%
산 1101
 
7.0%
부 1059
 
6.8%
구 1004
 
6.4%
시 986
 
6.3%
광 959
 
6.1%
역 946
 
6.0%
로 891
 
5.7%
길 651
 
4.2%
번 605
 
3.9%
Other values (248) 6262
40.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct341
Distinct (%)44.9%
Missing311
Missing (%)29.0%
Infinite0
Infinite (%)0.0%
Mean48570.247
Minimum46004
Maximum609420
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.5 KiB
2024-04-18T16:16:09.895560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46004
5-th percentile46057.95
Q146645.75
median46901
Q347564
95-th percentile49099.7
Maximum609420
Range563416
Interquartile range (IQR)918.25

Descriptive statistics

Standard deviation28780.364
Coefficient of variation (CV)0.59255131
Kurtosis376.87462
Mean48570.247
Median Absolute Deviation (MAD)351.5
Skewness19.431171
Sum36913388
Variance8.2830933 × 108
MonotonicityNot monotonic
2024-04-18T16:16:10.307623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46916 46
 
4.3%
46706 37
 
3.5%
46504 33
 
3.1%
46702 24
 
2.2%
46901 22
 
2.1%
46703 21
 
2.0%
46723 17
 
1.6%
46704 12
 
1.1%
46701 9
 
0.8%
46705 9
 
0.8%
Other values (331) 530
49.5%
(Missing) 311
29.0%
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 2
0.2%
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

Distinct974
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
2024-04-18T16:16:10.569339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length18
Mean length5.8300654
Min length2

Characters and Unicode

Total characters6244
Distinct characters408
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

Unique890 ?
Unique (%)83.1%

Sample

1st row동해식품
2nd row유진식품
3rd row(주)이화육가공
4th row(주)통일축산
5th row다인유통
ValueCountFrequency (%)
주식회사 62
 
5.1%
축산 8
 
0.7%
유통 6
 
0.5%
푸드 5
 
0.4%
농업회사법인 5
 
0.4%
하나식품 4
 
0.3%
유진식품 4
 
0.3%
인투인푸드 3
 
0.2%
하나로축산 3
 
0.2%
대성식품 3
 
0.2%
Other values (999) 1108
91.5%
2024-04-18T16:16:10.964400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 364
 
5.8%
식 303
 
4.9%
) 285
 
4.6%
( 282
 
4.5%
산 276
 
4.4%
품 219
 
3.5%
드 204
 
3.3%
축 200
 
3.2%
푸 200
 
3.2%
유 184
 
2.9%
Other values (398) 3727
59.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5334
85.4%
Close Punctuation 285
 
4.6%
Open Punctuation 282
 
4.5%
Uppercase Letter 151
 
2.4%
Space Separator 140
 
2.2%
Other Punctuation 24
 
0.4%
Lowercase Letter 17
 
0.3%
Decimal Number 9
 
0.1%
Math Symbol 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 364
 
6.8%
식 303
 
5.7%
산 276
 
5.2%
품 219
 
4.1%
드 204
 
3.8%
축 200
 
3.7%
푸 200
 
3.7%
유 184
 
3.4%
통 171
 
3.2%
사 99
 
1.9%
Other values (351) 3114
58.4%
Uppercase Letter
ValueCountFrequency (%)
F 21
13.9%
S 14
 
9.3%
O 11
 
7.3%
A 11
 
7.3%
T 10
 
6.6%
M 10
 
6.6%
C 10
 
6.6%
K 9
 
6.0%
D 8
 
5.3%
G 8
 
5.3%
Other values (13) 39
25.8%
Lowercase Letter
ValueCountFrequency (%)
e 4
23.5%
o 3
17.6%
t 2
11.8%
n 2
11.8%
a 2
11.8%
d 2
11.8%
l 1
 
5.9%
m 1
 
5.9%
Decimal Number
ValueCountFrequency (%)
2 3
33.3%
1 2
22.2%
3 1
 
11.1%
9 1
 
11.1%
7 1
 
11.1%
6 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
& 15
62.5%
. 5
 
20.8%
/ 2
 
8.3%
' 1
 
4.2%
· 1
 
4.2%
Close Punctuation
ValueCountFrequency (%)
) 285
100.0%
Open Punctuation
ValueCountFrequency (%)
( 282
100.0%
Space Separator
ValueCountFrequency (%)
140
100.0%
Math Symbol
ValueCountFrequency (%)
= 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5334
85.4%
Common 742
 
11.9%
Latin 168
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 364
 
6.8%
식 303
 
5.7%
산 276
 
5.2%
품 219
 
4.1%
드 204
 
3.8%
축 200
 
3.7%
푸 200
 
3.7%
유 184
 
3.4%
통 171
 
3.2%
사 99
 
1.9%
Other values (351) 3114
58.4%
Latin
ValueCountFrequency (%)
F 21
 
12.5%
S 14
 
8.3%
O 11
 
6.5%
A 11
 
6.5%
T 10
 
6.0%
M 10
 
6.0%
C 10
 
6.0%
K 9
 
5.4%
D 8
 
4.8%
G 8
 
4.8%
Other values (21) 56
33.3%
Common
ValueCountFrequency (%)
) 285
38.4%
( 282
38.0%
140
18.9%
& 15
 
2.0%
. 5
 
0.7%
2 3
 
0.4%
/ 2
 
0.3%
1 2
 
0.3%
3 1
 
0.1%
= 1
 
0.1%
Other values (6) 6
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5334
85.4%
ASCII 909
 
14.6%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 364
 
6.8%
식 303
 
5.7%
산 276
 
5.2%
품 219
 
4.1%
드 204
 
3.8%
축 200
 
3.7%
푸 200
 
3.7%
유 184
 
3.4%
통 171
 
3.2%
사 99
 
1.9%
Other values (351) 3114
58.4%
ASCII
ValueCountFrequency (%)
) 285
31.4%
( 282
31.0%
140
15.4%
F 21
 
2.3%
& 15
 
1.7%
S 14
 
1.5%
O 11
 
1.2%
A 11
 
1.2%
T 10
 
1.1%
M 10
 
1.1%
Other values (36) 110
 
12.1%
None
ValueCountFrequency (%)
· 1
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct1071
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0160097 × 1013
Minimum2.004081 × 1013
Maximum2.020123 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.5 KiB
2024-04-18T16:16:11.111972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.004081 × 1013
5-th percentile2.0070259 × 1013
Q12.0140468 × 1013
median2.0171219 × 1013
Q32.0190807 × 1013
95-th percentile2.0200919 × 1013
Maximum2.020123 × 1013
Range1.6042005 × 1011
Interquartile range (IQR)5.0338955 × 1010

Descriptive statistics

Standard deviation4.2264978 × 1010
Coefficient of variation (CV)0.002096467
Kurtosis0.34685253
Mean2.0160097 × 1013
Median Absolute Deviation (MAD)2.059295 × 1010
Skewness-1.163192
Sum2.1591463 × 1016
Variance1.7863284 × 1021
MonotonicityNot monotonic
2024-04-18T16:16:11.254508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180308123859 1
 
0.1%
20201113085754 1
 
0.1%
20181023132047 1
 
0.1%
20140515103253 1
 
0.1%
20170411093300 1
 
0.1%
20171116105416 1
 
0.1%
20160304151336 1
 
0.1%
20191111165521 1
 
0.1%
20200427152233 1
 
0.1%
20170901162725 1
 
0.1%
Other values (1061) 1061
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 (%)
20201230182401 1
0.1%
20201230145147 1
0.1%
20201230094449 1
0.1%
20201229085436 1
0.1%
20201228175747 1
0.1%
20201223172736 1
0.1%
20201223115928 1
0.1%
20201221142942 1
0.1%
20201221091929 1
0.1%
20201218151333 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
I
784 
U
287 

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 784
73.2%
U 287
 
26.8%

Length

2024-04-18T16:16:11.416766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:16:11.517997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 784
73.2%
u 287
 
26.8%

데이터갱신일자
Date

Distinct309
Distinct (%)28.9%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
Minimum2018-08-31 23:59:59
Maximum2021-01-01 02:40:00
2024-04-18T16:16:11.615113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T16:16:11.764704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1071
Missing (%)100.0%
Memory size9.5 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct806
Distinct (%)77.9%
Missing37
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean385206.91
Minimum366799.22
Maximum407871.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.5 KiB
2024-04-18T16:16:11.921303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum366799.22
5-th percentile375804.53
Q1380482.31
median382093.41
Q3390513.56
95-th percentile401082.1
Maximum407871.51
Range41072.292
Interquartile range (IQR)10031.25

Descriptive statistics

Standard deviation7513.5301
Coefficient of variation (CV)0.01950518
Kurtosis-0.11579121
Mean385206.91
Median Absolute Deviation (MAD)4716.9375
Skewness0.61360322
Sum3.9830394 × 108
Variance56453135
MonotonicityNot monotonic
2024-04-18T16:16:12.047029image/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%
376386.819494079 5
 
0.5%
381112.021887476 5
 
0.5%
381020.178506769 5
 
0.5%
386841.03065394 5
 
0.5%
380930.967795673 4
 
0.4%
380203.114849825 4
 
0.4%
381047.86409499 4
 
0.4%
Other values (796) 982
91.7%
(Missing) 37
 
3.5%
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 

Distinct807
Distinct (%)78.0%
Missing37
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean189461.49
Minimum174428.42
Maximum207175.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.5 KiB
2024-04-18T16:16:12.166303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174428.42
5-th percentile177857.83
Q1186720.63
median190295.02
Q3192276.94
95-th percentile197215.45
Maximum207175.03
Range32746.613
Interquartile range (IQR)5556.313

Descriptive statistics

Standard deviation5520.7421
Coefficient of variation (CV)0.029139126
Kurtosis1.110125
Mean189461.49
Median Absolute Deviation (MAD)2444.5426
Skewness-0.1364729
Sum1.9590318 × 108
Variance30478593
MonotonicityNot monotonic
2024-04-18T16:16:12.303532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
184227.341980607 7
 
0.7%
190338.842631857 6
 
0.6%
190065.417663202 6
 
0.6%
190435.092628939 5
 
0.5%
190406.577907013 5
 
0.5%
190217.437879203 5
 
0.5%
192522.95492894 5
 
0.5%
190455.900012499 4
 
0.4%
190393.142559782 4
 
0.4%
176789.156786307 4
 
0.4%
Other values (797) 983
91.8%
(Missing) 37
 
3.5%
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 size8.5 KiB
식육포장처리업
1069 
<NA>
 
2

Length

Max length7
Median length7
Mean length6.9943978
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육포장처리업 1069
99.8%
<NA> 2
 
0.2%

Length

2024-04-18T16:16:12.431223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:16:12.522518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육포장처리업 1069
99.8%
na 2
 
0.2%

축산물가공업구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
식육포장처리업
1069 
<NA>
 
2

Length

Max length7
Median length7
Mean length6.9943978
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육포장처리업 1069
99.8%
<NA> 2
 
0.2%

Length

2024-04-18T16:16:12.618473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:16:12.711595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육포장처리업 1069
99.8%
na 2
 
0.2%

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1071
Missing (%)100.0%
Memory size9.5 KiB

권리주체일련번호
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
000
752 
L00
317 
<NA>
 
2

Length

Max length4
Median length3
Mean length3.0018674
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
000 752
70.2%
L00 317
29.6%
<NA> 2
 
0.2%

Length

2024-04-18T16:16:12.805036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:16:12.896866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 752
70.2%
l00 317
29.6%
na 2
 
0.2%

총종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1071
Missing (%)100.0%
Memory size9.5 KiB

Unnamed: 33
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1071
Missing (%)100.0%
Memory size9.5 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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34식육포장처리업07_22_06_P336000033600001042017000620170911<NA>4취소/말소/만료/정지/중지4말소20200206<NA><NA><NA>1899-72710.0<NA>부산광역시 강서구 강동동 2292번지부산광역시 강서구 상덕로119번길 64 (강동동)46706(주)통일축산20200207115302U2020-02-09 02:40:00.0<NA>374558.562519189992.410215식육포장처리업식육포장처리업<NA>L00<NA><NA>
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번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총종업원수Unnamed: 33
10611062식육포장처리업07_22_06_P333000033300000042001000120010504<NA>1영업/정상0정상<NA><NA><NA><NA>704-0126~871.94<NA>부산광역시 해운대구 송정동 100-4번지부산광역시 해운대구 해운대로 1196 (송정동)48069주식회사 케이티에스씨(KTSC) 부산사업소20190130111212U2019-02-01 02:40:00.0<NA>400759.42168190263.264729식육포장처리업식육포장처리업<NA>L00<NA><NA>
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