Overview

Dataset statistics

Number of variables34
Number of observations1082
Missing cells8178
Missing cells (%)22.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory309.7 KiB
Average record size in memory293.1 B

Variable types

Numeric10
Categorical13
Unsupported6
Text4
DateTime1

Dataset

Description2021-04-01
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 (53.2%)Imbalance
상세영업상태명 is highly imbalanced (53.2%)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 1082 (100.0%) missing valuesMissing
폐업일자 has 633 (58.5%) missing valuesMissing
소재지전화 has 481 (44.5%) missing valuesMissing
소재지우편번호 has 1082 (100.0%) missing valuesMissing
소재지전체주소 has 60 (5.5%) missing valuesMissing
도로명전체주소 has 125 (11.6%) missing valuesMissing
도로명우편번호 has 311 (28.7%) missing valuesMissing
업태구분명 has 1082 (100.0%) missing valuesMissing
좌표정보(x) has 37 (3.4%) missing valuesMissing
좌표정보(y) has 37 (3.4%) missing valuesMissing
축산일련번호 has 1082 (100.0%) missing valuesMissing
총종업원수 has 1082 (100.0%) missing valuesMissing
Unnamed: 33 has 1082 (100.0%) missing valuesMissing
소재지면적 is highly skewed (γ1 = 20.95250904)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 796 (73.6%) zerosZeros

Reproduction

Analysis started2024-04-18 07:18:27.849966
Analysis finished2024-04-18 07:18:28.577610
Duration0.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1082
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean541.5
Minimum1
Maximum1082
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.6 KiB
2024-04-18T16:18:28.641611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile55.05
Q1271.25
median541.5
Q3811.75
95-th percentile1027.95
Maximum1082
Range1081
Interquartile range (IQR)540.5

Descriptive statistics

Standard deviation312.4908
Coefficient of variation (CV)0.57708366
Kurtosis-1.2
Mean541.5
Median Absolute Deviation (MAD)270.5
Skewness0
Sum585903
Variance97650.5
MonotonicityStrictly increasing
2024-04-18T16:18:28.770890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
728 1
 
0.1%
714 1
 
0.1%
715 1
 
0.1%
716 1
 
0.1%
717 1
 
0.1%
718 1
 
0.1%
719 1
 
0.1%
720 1
 
0.1%
721 1
 
0.1%
Other values (1072) 1072
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 (%)
1082 1
0.1%
1081 1
0.1%
1080 1
0.1%
1079 1
0.1%
1078 1
0.1%
1077 1
0.1%
1076 1
0.1%
1075 1
0.1%
1074 1
0.1%
1073 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
식육포장처리업
1082 

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 1082
100.0%

Length

2024-04-18T16:18:28.884374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:18:28.996113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육포장처리업 1082
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
07_22_06_P
1082 

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 1082
100.0%

Length

2024-04-18T16:18:29.086788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:18:29.195764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_06_p 1082
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3349695
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.6 KiB
2024-04-18T16:18:29.290126image/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 deviation34970.575
Coefficient of variation (CV)0.010439928
Kurtosis-0.95063587
Mean3349695
Median Absolute Deviation (MAD)30000
Skewness-0.26029287
Sum3.62437 × 109
Variance1.2229411 × 109
MonotonicityNot monotonic
2024-04-18T16:18:29.399413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3360000 211
19.5%
3390000 196
18.1%
3320000 144
13.3%
3400000 90
8.3%
3350000 77
 
7.1%
3300000 70
 
6.5%
3340000 67
 
6.2%
3290000 64
 
5.9%
3330000 57
 
5.3%
3310000 33
 
3.0%
Other values (6) 73
 
6.7%
ValueCountFrequency (%)
3250000 2
 
0.2%
3260000 1
 
0.1%
3270000 9
 
0.8%
3280000 5
 
0.5%
3290000 64
5.9%
3300000 70
6.5%
3310000 33
 
3.0%
3320000 144
13.3%
3330000 57
 
5.3%
3340000 67
6.2%
ValueCountFrequency (%)
3400000 90
8.3%
3390000 196
18.1%
3380000 25
 
2.3%
3370000 31
 
2.9%
3360000 211
19.5%
3350000 77
 
7.1%
3340000 67
 
6.2%
3330000 57
 
5.3%
3320000 144
13.3%
3310000 33
 
3.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct1082
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3496951 × 1017
Minimum3.2500001 × 1017
Maximum3.4000001 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.6 KiB
2024-04-18T16:18:29.574936image/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 deviation3.4970579 × 1015
Coefficient of variation (CV)0.010439929
Kurtosis-0.95063633
Mean3.3496951 × 1017
Median Absolute Deviation (MAD)3 × 1015
Skewness-0.26029285
Sum-6.4978737 × 1018
Variance1.2229414 × 1031
MonotonicityNot monotonic
2024-04-18T16:18:29.714391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
331000000419690001 1
 
0.1%
336000010420140005 1
 
0.1%
336000010420140001 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%
Other values (1072) 1072
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 (%)
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%
340000010420200001 1
0.1%
340000010420190011 1
0.1%

인허가일자
Real number (ℝ)

Distinct872
Distinct (%)80.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20116821
Minimum19690708
Maximum20210224
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.6 KiB
2024-04-18T16:18:29.881641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19690708
5-th percentile20000138
Q120070748
median20130468
Q320171198
95-th percentile20200507
Maximum20210224
Range519516
Interquartile range (IQR)100449.25

Descriptive statistics

Standard deviation66962.236
Coefficient of variation (CV)0.0033286688
Kurtosis0.96578164
Mean20116821
Median Absolute Deviation (MAD)50004
Skewness-0.81024761
Sum2.1766401 × 1010
Variance4.483941 × 109
MonotonicityNot monotonic
2024-04-18T16:18:30.037501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20040913 9
 
0.8%
20200221 6
 
0.6%
20021028 5
 
0.5%
20090827 5
 
0.5%
20190722 5
 
0.5%
20130701 5
 
0.5%
20130823 4
 
0.4%
20200311 4
 
0.4%
20200123 4
 
0.4%
20200211 4
 
0.4%
Other values (862) 1031
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 (%)
20210224 3
0.3%
20210223 2
0.2%
20210208 1
 
0.1%
20210127 1
 
0.1%
20210126 2
0.2%
20210125 1
 
0.1%
20210107 1
 
0.1%
20210105 1
 
0.1%
20201230 1
 
0.1%
20201229 1
 
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1082
Missing (%)100.0%
Memory size9.6 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
1
626 
3
441 
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 (%)
1 626
57.9%
3 441
40.8%
4 11
 
1.0%
2 4
 
0.4%

Length

2024-04-18T16:18:30.161996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:18:30.253073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 626
57.9%
3 441
40.8%
4 11
 
1.0%
2 4
 
0.4%

영업상태명
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
영업/정상
626 
폐업
441 
취소/말소/만료/정지/중지
 
11
휴업
 
4

Length

Max length14
Median length5
Mean length3.857671
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 626
57.9%
폐업 441
40.8%
취소/말소/만료/정지/중지 11
 
1.0%
휴업 4
 
0.4%

Length

2024-04-18T16:18:30.369243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:18:30.767612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 626
57.9%
폐업 441
40.8%
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
626 
2
441 
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 (%)
0 626
57.9%
2 441
40.8%
4 10
 
0.9%
1 4
 
0.4%
3 1
 
0.1%

Length

2024-04-18T16:18:30.858849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:18:30.951697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 626
57.9%
2 441
40.8%
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
626 
폐업
441 
말소
 
10
휴업
 
4
행정처분
 
1

Length

Max length4
Median length2
Mean length2.0018484
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
정상 626
57.9%
폐업 441
40.8%
말소 10
 
0.9%
휴업 4
 
0.4%
행정처분 1
 
0.1%

Length

2024-04-18T16:18:31.086848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:18:31.234628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 626
57.9%
폐업 441
40.8%
말소 10
 
0.9%
휴업 4
 
0.4%
행정처분 1
 
0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct400
Distinct (%)89.1%
Missing633
Missing (%)58.5%
Infinite0
Infinite (%)0.0%
Mean20135404
Minimum20030430
Maximum20210226
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.6 KiB
2024-04-18T16:18:31.362407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20030430
5-th percentile20054777
Q120091029
median20140625
Q320171031
95-th percentile20200627
Maximum20210226
Range179796
Interquartile range (IQR)80002

Descriptive statistics

Standard deviation47034.237
Coefficient of variation (CV)0.0023358973
Kurtosis-1.0583684
Mean20135404
Median Absolute Deviation (MAD)39583
Skewness-0.30703531
Sum9.0407965 × 109
Variance2.2122194 × 109
MonotonicityNot monotonic
2024-04-18T16:18:31.494881image/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%
20150609 2
 
0.2%
20120116 2
 
0.2%
20190611 2
 
0.2%
Other values (390) 418
38.6%
(Missing) 633
58.5%
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 (%)
20210226 1
 
0.1%
20210223 3
0.3%
20210215 1
 
0.1%
20210127 1
 
0.1%
20210125 1
 
0.1%
20210114 1
 
0.1%
20210107 1
 
0.1%
20201230 1
 
0.1%
20201221 1
 
0.1%
20201215 1
 
0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
<NA>
1078 
20100401
 
1
20171011
 
1
20090525
 
1
20191001
 
1

Length

Max length8
Median length4
Mean length4.0147874
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> 1078
99.6%
20100401 1
 
0.1%
20171011 1
 
0.1%
20090525 1
 
0.1%
20191001 1
 
0.1%

Length

2024-04-18T16:18:31.650280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:18:31.762721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1078
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>
1078 
20110331
 
1
20181231
 
1
20100524
 
1
20201001
 
1

Length

Max length8
Median length4
Mean length4.0147874
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> 1078
99.6%
20110331 1
 
0.1%
20181231 1
 
0.1%
20100524 1
 
0.1%
20201001 1
 
0.1%

Length

2024-04-18T16:18:31.892793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:18:32.001866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1078
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>
1078 
20040916
 
1
20180226
 
1
20040913
 
1
20170521
 
1

Length

Max length8
Median length4
Mean length4.0147874
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> 1078
99.6%
20040916 1
 
0.1%
20180226 1
 
0.1%
20040913 1
 
0.1%
20170521 1
 
0.1%

Length

2024-04-18T16:18:32.117855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:18:32.233193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1078
99.6%
20040916 1
 
0.1%
20180226 1
 
0.1%
20040913 1
 
0.1%
20170521 1
 
0.1%

소재지전화
Text

MISSING 

Distinct576
Distinct (%)95.8%
Missing481
Missing (%)44.5%
Memory size8.6 KiB
2024-04-18T16:18:32.487471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length9.9650582
Min length7

Characters and Unicode

Total characters5989
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

Unique553 ?
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%
336-2145 2
 
0.3%
051-303-2262 2
 
0.3%
264-7792 2
 
0.3%
051-809-0281 2
 
0.3%
051-941-5855 2
 
0.3%
051-728-3495 2
 
0.3%
304-4477 2
 
0.3%
Other values (566) 579
96.3%
2024-04-18T16:18:32.866448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 852
14.2%
0 807
13.5%
5 780
13.0%
1 709
11.8%
3 531
8.9%
2 522
8.7%
7 414
6.9%
8 363
6.1%
4 337
 
5.6%
6 334
 
5.6%
Other values (4) 340
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5129
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 (%)
0 807
15.7%
5 780
15.2%
1 709
13.8%
3 531
10.4%
2 522
10.2%
7 414
8.1%
8 363
7.1%
4 337
6.6%
6 334
6.5%
9 332
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 5989
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 852
14.2%
0 807
13.5%
5 780
13.0%
1 709
11.8%
3 531
8.9%
2 522
8.7%
7 414
6.9%
8 363
6.1%
4 337
 
5.6%
6 334
 
5.6%
Other values (4) 340
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5989
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 852
14.2%
0 807
13.5%
5 780
13.0%
1 709
11.8%
3 531
8.9%
2 522
8.7%
7 414
6.9%
8 363
6.1%
4 337
 
5.6%
6 334
 
5.6%
Other values (4) 340
 
5.7%

소재지면적
Real number (ℝ)

SKEWED  ZEROS 

Distinct274
Distinct (%)25.4%
Missing2
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean97.693519
Minimum0
Maximum16000
Zeros796
Zeros (%)73.6%
Negative0
Negative (%)0.0%
Memory size9.6 KiB
2024-04-18T16:18:33.011132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q332.85
95-th percentile413.516
Maximum16000
Range16000
Interquartile range (IQR)32.85

Descriptive statistics

Standard deviation574.47813
Coefficient of variation (CV)5.8804119
Kurtosis551.68767
Mean97.693519
Median Absolute Deviation (MAD)0
Skewness20.952509
Sum105509
Variance330025.12
MonotonicityNot monotonic
2024-04-18T16:18:33.146021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 796
73.6%
330.0 2
 
0.2%
112.24 2
 
0.2%
492.9 2
 
0.2%
56.55 2
 
0.2%
1325.0 2
 
0.2%
327.0 2
 
0.2%
60.0 2
 
0.2%
198.0 2
 
0.2%
247.0 2
 
0.2%
Other values (264) 266
 
24.6%
ValueCountFrequency (%)
0.0 796
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 

Missing1082
Missing (%)100.0%
Memory size9.6 KiB

소재지전체주소
Text

MISSING 

Distinct853
Distinct (%)83.5%
Missing60
Missing (%)5.5%
Memory size8.6 KiB
2024-04-18T16:18:33.469289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length40
Mean length22.044031
Min length12

Characters and Unicode

Total characters22529
Distinct characters219
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

Unique733 ?
Unique (%)71.7%

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 1022
23.8%
강서구 200
 
4.7%
사상구 196
 
4.6%
북구 123
 
2.9%
구포동 94
 
2.2%
기장군 90
 
2.1%
모라동 89
 
2.1%
대저1동 86
 
2.0%
금정구 76
 
1.8%
동래구 68
 
1.6%
Other values (1043) 2253
52.4%
2024-04-18T16:18:33.966246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3277
 
14.5%
1 1164
 
5.2%
산 1125
 
5.0%
부 1117
 
5.0%
동 1099
 
4.9%
구 1040
 
4.6%
광 1033
 
4.6%
시 1024
 
4.5%
역 1022
 
4.5%
- 916
 
4.1%
Other values (209) 9712
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13535
60.1%
Decimal Number 4747
 
21.1%
Space Separator 3277
 
14.5%
Dash Punctuation 916
 
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 1125
 
8.3%
부 1117
 
8.3%
동 1099
 
8.1%
구 1040
 
7.7%
광 1033
 
7.6%
시 1024
 
7.6%
역 1022
 
7.6%
지 902
 
6.7%
번 878
 
6.5%
사 299
 
2.2%
Other values (184) 3996
29.5%
Decimal Number
ValueCountFrequency (%)
1 1164
24.5%
2 666
14.0%
3 455
 
9.6%
5 437
 
9.2%
4 427
 
9.0%
7 357
 
7.5%
6 342
 
7.2%
8 333
 
7.0%
9 289
 
6.1%
0 277
 
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 (%)
3277
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 916
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13535
60.1%
Common 8969
39.8%
Latin 25
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 1125
 
8.3%
부 1117
 
8.3%
동 1099
 
8.1%
구 1040
 
7.7%
광 1033
 
7.6%
시 1024
 
7.6%
역 1022
 
7.6%
지 902
 
6.7%
번 878
 
6.5%
사 299
 
2.2%
Other values (184) 3996
29.5%
Common
ValueCountFrequency (%)
3277
36.5%
1 1164
 
13.0%
- 916
 
10.2%
2 666
 
7.4%
3 455
 
5.1%
5 437
 
4.9%
4 427
 
4.8%
7 357
 
4.0%
6 342
 
3.8%
8 333
 
3.7%
Other values (6) 595
 
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 13535
60.1%
ASCII 8994
39.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3277
36.4%
1 1164
 
12.9%
- 916
 
10.2%
2 666
 
7.4%
3 455
 
5.1%
5 437
 
4.9%
4 427
 
4.7%
7 357
 
4.0%
6 342
 
3.8%
8 333
 
3.7%
Other values (15) 620
 
6.9%
Hangul
ValueCountFrequency (%)
산 1125
 
8.3%
부 1117
 
8.3%
동 1099
 
8.1%
구 1040
 
7.7%
광 1033
 
7.6%
시 1024
 
7.6%
역 1022
 
7.6%
지 902
 
6.7%
번 878
 
6.5%
사 299
 
2.2%
Other values (184) 3996
29.5%

도로명전체주소
Text

MISSING 

Distinct829
Distinct (%)86.6%
Missing125
Missing (%)11.6%
Memory size8.6 KiB
2024-04-18T16:18:34.246913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length48
Mean length27.846395
Min length19

Characters and Unicode

Total characters26649
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

Unique734 ?
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 957
 
18.8%
강서구 208
 
4.1%
사상구 153
 
3.0%
북구 139
 
2.7%
구포동 106
 
2.1%
대저1동 86
 
1.7%
기장군 81
 
1.6%
1층 78
 
1.5%
금정구 77
 
1.5%
모라동 68
 
1.3%
Other values (1120) 3151
61.7%
2024-04-18T16:18:34.701511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4147
 
15.6%
동 1219
 
4.6%
산 1113
 
4.2%
부 1071
 
4.0%
1 1066
 
4.0%
구 1015
 
3.8%
시 997
 
3.7%
광 970
 
3.6%
역 957
 
3.6%
로 902
 
3.4%
Other values (274) 13192
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15852
59.5%
Decimal Number 4407
 
16.5%
Space Separator 4147
 
15.6%
Close Punctuation 892
 
3.3%
Open Punctuation 892
 
3.3%
Other Punctuation 232
 
0.9%
Dash Punctuation 178
 
0.7%
Uppercase Letter 49
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1219
 
7.7%
산 1113
 
7.0%
부 1071
 
6.8%
구 1015
 
6.4%
시 997
 
6.3%
광 970
 
6.1%
역 957
 
6.0%
로 902
 
5.7%
길 658
 
4.2%
번 611
 
3.9%
Other values (248) 6339
40.0%
Uppercase Letter
ValueCountFrequency (%)
A 17
34.7%
B 13
26.5%
C 8
16.3%
I 2
 
4.1%
D 2
 
4.1%
K 2
 
4.1%
T 1
 
2.0%
M 1
 
2.0%
Y 1
 
2.0%
E 1
 
2.0%
Decimal Number
ValueCountFrequency (%)
1 1066
24.2%
2 608
13.8%
5 479
10.9%
3 477
10.8%
4 364
 
8.3%
7 357
 
8.1%
0 296
 
6.7%
6 274
 
6.2%
9 245
 
5.6%
8 241
 
5.5%
Space Separator
ValueCountFrequency (%)
4147
100.0%
Close Punctuation
ValueCountFrequency (%)
) 892
100.0%
Open Punctuation
ValueCountFrequency (%)
( 892
100.0%
Other Punctuation
ValueCountFrequency (%)
, 232
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 178
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15852
59.5%
Common 10748
40.3%
Latin 49
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1219
 
7.7%
산 1113
 
7.0%
부 1071
 
6.8%
구 1015
 
6.4%
시 997
 
6.3%
광 970
 
6.1%
역 957
 
6.0%
로 902
 
5.7%
길 658
 
4.2%
번 611
 
3.9%
Other values (248) 6339
40.0%
Common
ValueCountFrequency (%)
4147
38.6%
1 1066
 
9.9%
) 892
 
8.3%
( 892
 
8.3%
2 608
 
5.7%
5 479
 
4.5%
3 477
 
4.4%
4 364
 
3.4%
7 357
 
3.3%
0 296
 
2.8%
Other values (5) 1170
 
10.9%
Latin
ValueCountFrequency (%)
A 17
34.7%
B 13
26.5%
C 8
16.3%
I 2
 
4.1%
D 2
 
4.1%
K 2
 
4.1%
T 1
 
2.0%
M 1
 
2.0%
Y 1
 
2.0%
E 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15852
59.5%
ASCII 10797
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4147
38.4%
1 1066
 
9.9%
) 892
 
8.3%
( 892
 
8.3%
2 608
 
5.6%
5 479
 
4.4%
3 477
 
4.4%
4 364
 
3.4%
7 357
 
3.3%
0 296
 
2.7%
Other values (16) 1219
 
11.3%
Hangul
ValueCountFrequency (%)
동 1219
 
7.7%
산 1113
 
7.0%
부 1071
 
6.8%
구 1015
 
6.4%
시 997
 
6.3%
광 970
 
6.1%
역 957
 
6.0%
로 902
 
5.7%
길 658
 
4.2%
번 611
 
3.9%
Other values (248) 6339
40.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct342
Distinct (%)44.4%
Missing311
Missing (%)28.7%
Infinite0
Infinite (%)0.0%
Mean48539.725
Minimum46004
Maximum609420
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.6 KiB
2024-04-18T16:18:34.838026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46004
5-th percentile46057.5
Q146644.5
median46763
Q347551.5
95-th percentile49081.5
Maximum609420
Range563416
Interquartile range (IQR)907

Descriptive statistics

Standard deviation28575.161
Coefficient of variation (CV)0.58869639
Kurtosis382.36101
Mean48539.725
Median Absolute Deviation (MAD)259
Skewness19.571659
Sum37424128
Variance8.1653982 × 108
MonotonicityNot monotonic
2024-04-18T16:18:34.964256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46916 46
 
4.3%
46706 37
 
3.4%
46504 33
 
3.0%
46702 26
 
2.4%
46703 24
 
2.2%
46901 22
 
2.0%
46723 17
 
1.6%
46704 12
 
1.1%
46700 10
 
0.9%
46701 10
 
0.9%
Other values (332) 534
49.4%
(Missing) 311
28.7%
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

Distinct984
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
2024-04-18T16:18:35.202361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length18
Mean length5.8475046
Min length2

Characters and Unicode

Total characters6327
Distinct characters410
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

Unique900 ?
Unique (%)83.2%

Sample

1st row동해식품
2nd row유진식품
3rd row(주)이화육가공
4th row(주)통일축산
5th row다인유통
ValueCountFrequency (%)
주식회사 64
 
5.2%
축산 8
 
0.7%
유통 6
 
0.5%
농업회사법인 5
 
0.4%
푸드 5
 
0.4%
하나식품 4
 
0.3%
미트 4
 
0.3%
유진식품 4
 
0.3%
정원유통 3
 
0.2%
주)건창축산유통 3
 
0.2%
Other values (1011) 1121
91.4%
2024-04-18T16:18:35.570893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 366
 
5.8%
식 306
 
4.8%
) 285
 
4.5%
( 282
 
4.5%
산 279
 
4.4%
품 220
 
3.5%
드 208
 
3.3%
푸 204
 
3.2%
축 201
 
3.2%
유 184
 
2.9%
Other values (400) 3792
59.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5407
85.5%
Close Punctuation 285
 
4.5%
Open Punctuation 282
 
4.5%
Uppercase Letter 153
 
2.4%
Space Separator 145
 
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 366
 
6.8%
식 306
 
5.7%
산 279
 
5.2%
품 220
 
4.1%
드 208
 
3.8%
푸 204
 
3.8%
축 201
 
3.7%
유 184
 
3.4%
통 171
 
3.2%
사 101
 
1.9%
Other values (353) 3167
58.6%
Uppercase Letter
ValueCountFrequency (%)
F 22
14.4%
S 14
 
9.2%
O 11
 
7.2%
C 11
 
7.2%
A 11
 
7.2%
M 10
 
6.5%
T 10
 
6.5%
K 9
 
5.9%
D 8
 
5.2%
G 8
 
5.2%
Other values (13) 39
25.5%
Lowercase Letter
ValueCountFrequency (%)
e 5
27.8%
o 3
16.7%
t 2
 
11.1%
a 2
 
11.1%
d 2
 
11.1%
n 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 (%)
) 285
100.0%
Open Punctuation
ValueCountFrequency (%)
( 282
100.0%
Space Separator
ValueCountFrequency (%)
145
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Math Symbol
ValueCountFrequency (%)
= 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5407
85.5%
Common 749
 
11.8%
Latin 171
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 366
 
6.8%
식 306
 
5.7%
산 279
 
5.2%
품 220
 
4.1%
드 208
 
3.8%
푸 204
 
3.8%
축 201
 
3.7%
유 184
 
3.4%
통 171
 
3.2%
사 101
 
1.9%
Other values (353) 3167
58.6%
Latin
ValueCountFrequency (%)
F 22
 
12.9%
S 14
 
8.2%
O 11
 
6.4%
C 11
 
6.4%
A 11
 
6.4%
M 10
 
5.8%
T 10
 
5.8%
K 9
 
5.3%
D 8
 
4.7%
G 8
 
4.7%
Other values (21) 57
33.3%
Common
ValueCountFrequency (%)
) 285
38.1%
( 282
37.7%
145
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 5407
85.5%
ASCII 919
 
14.5%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 366
 
6.8%
식 306
 
5.7%
산 279
 
5.2%
품 220
 
4.1%
드 208
 
3.8%
푸 204
 
3.8%
축 201
 
3.7%
유 184
 
3.4%
통 171
 
3.2%
사 101
 
1.9%
Other values (353) 3167
58.6%
ASCII
ValueCountFrequency (%)
) 285
31.0%
( 282
30.7%
145
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%
M 10
 
1.1%
Other values (36) 112
 
12.2%
None
ValueCountFrequency (%)
· 1
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct1082
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.016122 × 1013
Minimum2.004081 × 1013
Maximum2.0210226 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.6 KiB
2024-04-18T16:18:35.704153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.004081 × 1013
5-th percentile2.007031 × 1013
Q12.0140519 × 1013
median2.0180121 × 1013
Q32.0191022 × 1013
95-th percentile2.0201209 × 1013
Maximum2.0210226 × 1013
Range1.6941604 × 1011
Interquartile range (IQR)5.0503512 × 1010

Descriptive statistics

Standard deviation4.2822695 × 1010
Coefficient of variation (CV)0.0021240131
Kurtosis0.31645777
Mean2.016122 × 1013
Median Absolute Deviation (MAD)2.0195059 × 1010
Skewness-1.1391123
Sum2.181444 × 1016
Variance1.8337832 × 1021
MonotonicityNot monotonic
2024-04-18T16:18:35.849034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180308123859 1
 
0.1%
20150311142929 1
 
0.1%
20181023131849 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%
Other values (1072) 1072
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 (%)
20210226171316 1
0.1%
20210225120410 1
0.1%
20210224171235 1
0.1%
20210224165933 1
0.1%
20210224150027 1
0.1%
20210224141951 1
0.1%
20210223183725 1
0.1%
20210223155709 1
0.1%
20210223155358 1
0.1%
20210223152615 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
I
775 
U
307 

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 775
71.6%
U 307
 
28.4%

Length

2024-04-18T16:18:36.008394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:18:36.094692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 775
71.6%
u 307
 
28.4%

데이터갱신일자
Date

Distinct322
Distinct (%)29.8%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Minimum2018-08-31 23:59:59
Maximum2021-02-28 02:40:00
2024-04-18T16:18:36.195427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T16:18:36.326867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1082
Missing (%)100.0%
Memory size9.6 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct813
Distinct (%)77.8%
Missing37
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean385182.04
Minimum366799.22
Maximum407871.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.6 KiB
2024-04-18T16:18:36.459048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum366799.22
5-th percentile375804.01
Q1380399.8
median381990.5
Q3390504.13
95-th percentile401020.78
Maximum407871.51
Range41072.292
Interquartile range (IQR)10104.323

Descriptive statistics

Standard deviation7511.6742
Coefficient of variation (CV)0.019501621
Kurtosis-0.1147132
Mean385182.04
Median Absolute Deviation (MAD)4728.7786
Skewness0.61455397
Sum4.0251524 × 108
Variance56425249
MonotonicityNot monotonic
2024-04-18T16:18:36.581830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
381129.15127391 8
 
0.7%
381077.868225122 6
 
0.6%
380958.320754697 6
 
0.6%
381020.178506769 5
 
0.5%
386841.03065394 5
 
0.5%
376386.819494079 5
 
0.5%
381112.021887476 5
 
0.5%
380925.930841223 4
 
0.4%
379969.395712362 4
 
0.4%
381185.806287353 4
 
0.4%
Other values (803) 993
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 

Distinct814
Distinct (%)77.9%
Missing37
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean189494.36
Minimum174428.42
Maximum207175.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.6 KiB
2024-04-18T16:18:36.703468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174428.42
5-th percentile177855.8
Q1186725.59
median190300.1
Q3192378.53
95-th percentile197415.31
Maximum207175.03
Range32746.613
Interquartile range (IQR)5652.9478

Descriptive statistics

Standard deviation5526.9399
Coefficient of variation (CV)0.029166778
Kurtosis1.0859591
Mean189494.36
Median Absolute Deviation (MAD)2439.4612
Skewness-0.15124377
Sum1.9802161 × 108
Variance30547065
MonotonicityNot monotonic
2024-04-18T16:18:36.836655image/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%
190217.437879203 5
 
0.5%
190435.092628939 5
 
0.5%
190406.577907013 5
 
0.5%
192522.95492894 5
 
0.5%
195439.542437349 4
 
0.4%
176789.156786307 4
 
0.4%
190765.788864233 4
 
0.4%
Other values (804) 994
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
1080 
<NA>
 
2

Length

Max length7
Median length7
Mean length6.9944547
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육포장처리업 1080
99.8%
<NA> 2
 
0.2%

Length

2024-04-18T16:18:36.964038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:18:37.068280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육포장처리업 1080
99.8%
na 2
 
0.2%

축산물가공업구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
식육포장처리업
1080 
<NA>
 
2

Length

Max length7
Median length7
Mean length6.9944547
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육포장처리업 1080
99.8%
<NA> 2
 
0.2%

Length

2024-04-18T16:18:37.167956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:18:37.268296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육포장처리업 1080
99.8%
na 2
 
0.2%

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1082
Missing (%)100.0%
Memory size9.6 KiB

권리주체일련번호
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
000
759 
L00
321 
<NA>
 
2

Length

Max length4
Median length3
Mean length3.0018484
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
000 759
70.1%
L00 321
29.7%
<NA> 2
 
0.2%

Length

2024-04-18T16:18:37.358429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:18:37.806048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 759
70.1%
l00 321
29.7%
na 2
 
0.2%

총종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1082
Missing (%)100.0%
Memory size9.6 KiB

Unnamed: 33
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1082
Missing (%)100.0%
Memory size9.6 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>
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번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총종업원수Unnamed: 33
10721073식육포장처리업07_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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