Overview

Dataset statistics

Number of variables34
Number of observations1077
Missing cells8143
Missing cells (%)22.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory308.3 KiB
Average record size in memory293.1 B

Variable types

Numeric10
Categorical13
Unsupported6
Text4
DateTime1

Dataset

Description2021-03-01
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 (53.3%)Imbalance
상세영업상태명 is highly imbalanced (53.3%)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 (98.0%)Imbalance
축산물가공업구분명 is highly imbalanced (98.0%)Imbalance
인허가취소일자 has 1077 (100.0%) missing valuesMissing
폐업일자 has 633 (58.8%) missing valuesMissing
소재지전화 has 476 (44.2%) missing valuesMissing
소재지우편번호 has 1077 (100.0%) missing valuesMissing
소재지전체주소 has 60 (5.6%) missing valuesMissing
도로명전체주소 has 125 (11.6%) missing valuesMissing
도로명우편번호 has 311 (28.9%) missing valuesMissing
업태구분명 has 1077 (100.0%) missing valuesMissing
좌표정보(x) has 37 (3.4%) missing valuesMissing
좌표정보(y) has 37 (3.4%) missing valuesMissing
축산일련번호 has 1077 (100.0%) missing valuesMissing
총종업원수 has 1077 (100.0%) missing valuesMissing
Unnamed: 33 has 1077 (100.0%) missing valuesMissing
소재지면적 is highly skewed (γ1 = 20.90596002)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 791 (73.4%) zerosZeros

Reproduction

Analysis started2024-04-18 07:17:50.512027
Analysis finished2024-04-18 07:17:51.344065
Duration0.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1077
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean539
Minimum1
Maximum1077
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.6 KiB
2024-04-18T16:17:51.416160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile54.8
Q1270
median539
Q3808
95-th percentile1023.2
Maximum1077
Range1076
Interquartile range (IQR)538

Descriptive statistics

Standard deviation311.04742
Coefficient of variation (CV)0.57708242
Kurtosis-1.2
Mean539
Median Absolute Deviation (MAD)269
Skewness0
Sum580503
Variance96750.5
MonotonicityStrictly increasing
2024-04-18T16:17:51.908650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
725 1
 
0.1%
711 1
 
0.1%
712 1
 
0.1%
713 1
 
0.1%
714 1
 
0.1%
715 1
 
0.1%
716 1
 
0.1%
717 1
 
0.1%
718 1
 
0.1%
Other values (1067) 1067
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 (%)
1077 1
0.1%
1076 1
0.1%
1075 1
0.1%
1074 1
0.1%
1073 1
0.1%
1072 1
0.1%
1071 1
0.1%
1070 1
0.1%
1069 1
0.1%
1068 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
식육포장처리업
1077 

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 1077
100.0%

Length

2024-04-18T16:17:52.038745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:17:52.129122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육포장처리업 1077
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
07_22_06_P
1077 

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 1077
100.0%

Length

2024-04-18T16:17:52.216832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:17:52.302034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_06_p 1077
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3349610
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.6 KiB
2024-04-18T16:17:52.389061image/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 deviation35078.725
Coefficient of variation (CV)0.01047248
Kurtosis-0.96521143
Mean3349610
Median Absolute Deviation (MAD)30000
Skewness-0.25455381
Sum3.60753 × 109
Variance1.2305169 × 109
MonotonicityNot monotonic
2024-04-18T16:17:52.501401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3360000 207
19.2%
3390000 196
18.2%
3320000 144
13.4%
3400000 90
8.4%
3350000 75
 
7.0%
3300000 71
 
6.6%
3340000 67
 
6.2%
3290000 64
 
5.9%
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
5.9%
3300000 71
6.6%
3310000 33
 
3.1%
3320000 144
13.4%
3330000 57
 
5.3%
3340000 67
6.2%
ValueCountFrequency (%)
3400000 90
8.4%
3390000 196
18.2%
3380000 25
 
2.3%
3370000 31
 
2.9%
3360000 207
19.2%
3350000 75
 
7.0%
3340000 67
 
6.2%
3330000 57
 
5.3%
3320000 144
13.4%
3310000 33
 
3.1%

관리번호
Real number (ℝ)

UNIQUE 

Distinct1077
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3496101 × 1017
Minimum3.2500001 × 1017
Maximum3.4000001 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.6 KiB
2024-04-18T16:17:52.639532image/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 deviation3.5078729 × 1015
Coefficient of variation (CV)0.010472481
Kurtosis-0.96521188
Mean3.3496101 × 1017
Median Absolute Deviation (MAD)3 × 1015
Skewness-0.25455378
Sum-8.1818737 × 1018
Variance1.2305172 × 1031
MonotonicityNot monotonic
2024-04-18T16:17:52.787390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
331000000419690001 1
 
0.1%
336000010420150003 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%
336000010420130012 1
 
0.1%
336000010420130015 1
 
0.1%
Other values (1067) 1067
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)

Distinct869
Distinct (%)80.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20116341
Minimum19690708
Maximum20210127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.6 KiB
2024-04-18T16:17:52.973122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19690708
5-th percentile20000120
Q120070726
median20130425
Q320171117
95-th percentile20200408
Maximum20210127
Range519419
Interquartile range (IQR)100391

Descriptive statistics

Standard deviation66765.594
Coefficient of variation (CV)0.0033189731
Kurtosis0.9864163
Mean20116341
Median Absolute Deviation (MAD)49985
Skewness-0.81465915
Sum2.1665299 × 1010
Variance4.4576446 × 109
MonotonicityNot monotonic
2024-04-18T16:17:53.169007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20040913 9
 
0.8%
20200221 6
 
0.6%
20090827 5
 
0.5%
20130701 5
 
0.5%
20021028 5
 
0.5%
20190722 5
 
0.5%
20200311 4
 
0.4%
20200123 4
 
0.4%
20200211 4
 
0.4%
20130823 4
 
0.4%
Other values (859) 1026
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 (%)
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%
20201228 2
0.2%
20201223 1
0.1%
20201211 1
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1077
Missing (%)100.0%
Memory size9.6 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
1
626 
3
436 
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
58.1%
3 436
40.5%
4 11
 
1.0%
2 4
 
0.4%

Length

2024-04-18T16:17:53.317511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:17:53.480338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 626
58.1%
3 436
40.5%
4 11
 
1.0%
2 4
 
0.4%

영업상태명
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
영업/정상
626 
폐업
436 
취소/말소/만료/정지/중지
 
11
휴업
 
4

Length

Max length14
Median length5
Mean length3.8662953
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
58.1%
폐업 436
40.5%
취소/말소/만료/정지/중지 11
 
1.0%
휴업 4
 
0.4%

Length

2024-04-18T16:17:53.651274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:17:53.795317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 626
58.1%
폐업 436
40.5%
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
626 
2
436 
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
58.1%
2 436
40.5%
4 10
 
0.9%
1 4
 
0.4%
3 1
 
0.1%

Length

2024-04-18T16:17:53.900013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:17:54.002378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 626
58.1%
2 436
40.5%
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
626 
폐업
436 
말소
 
10
휴업
 
4
행정처분
 
1

Length

Max length4
Median length2
Mean length2.001857
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
정상 626
58.1%
폐업 436
40.5%
말소 10
 
0.9%
휴업 4
 
0.4%
행정처분 1
 
0.1%

Length

2024-04-18T16:17:54.121216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:17:54.225319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 626
58.1%
폐업 436
40.5%
말소 10
 
0.9%
휴업 4
 
0.4%
행정처분 1
 
0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct397
Distinct (%)89.4%
Missing633
Missing (%)58.8%
Infinite0
Infinite (%)0.0%
Mean20134562
Minimum20030430
Maximum20210127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.6 KiB
2024-04-18T16:17:54.386307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20030430
5-th percentile20052556
Q120090902
median20140560
Q320170816
95-th percentile20200389
Maximum20210127
Range179697
Interquartile range (IQR)79913.5

Descriptive statistics

Standard deviation46618.634
Coefficient of variation (CV)0.0023153538
Kurtosis-1.0650374
Mean20134562
Median Absolute Deviation (MAD)39548.5
Skewness-0.31129137
Sum8.9397454 × 109
Variance2.173297 × 109
MonotonicityNot monotonic
2024-04-18T16:17:54.597724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20140227 6
 
0.6%
20121213 4
 
0.4%
20140128 3
 
0.3%
20080401 3
 
0.3%
20080201 3
 
0.3%
20200309 3
 
0.3%
20201119 2
 
0.2%
20151231 2
 
0.2%
20160222 2
 
0.2%
20170816 2
 
0.2%
Other values (387) 414
38.4%
(Missing) 633
58.8%
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 (%)
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%
20201204 2
0.2%
20201130 1
0.1%
20201119 2
0.2%

휴업시작일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
<NA>
1073 
20100401
 
1
20171011
 
1
20090525
 
1
20191001
 
1

Length

Max length8
Median length4
Mean length4.0148561
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> 1073
99.6%
20100401 1
 
0.1%
20171011 1
 
0.1%
20090525 1
 
0.1%
20191001 1
 
0.1%

Length

2024-04-18T16:17:54.737491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:17:54.851274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1073
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>
1073 
20110331
 
1
20181231
 
1
20100524
 
1
20201001
 
1

Length

Max length8
Median length4
Mean length4.0148561
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> 1073
99.6%
20110331 1
 
0.1%
20181231 1
 
0.1%
20100524 1
 
0.1%
20201001 1
 
0.1%

Length

2024-04-18T16:17:54.997429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:17:55.120311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1073
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>
1073 
20040916
 
1
20180226
 
1
20040913
 
1
20170521
 
1

Length

Max length8
Median length4
Mean length4.0148561
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> 1073
99.6%
20040916 1
 
0.1%
20180226 1
 
0.1%
20040913 1
 
0.1%
20170521 1
 
0.1%

Length

2024-04-18T16:17:55.238990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:17:55.347779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1073
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%
Missing476
Missing (%)44.2%
Memory size8.5 KiB
2024-04-18T16:17:55.632599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length9.968386
Min length7

Characters and Unicode

Total characters5991
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%
528-5042 2
 
0.3%
051-809-0281 2
 
0.3%
262-8734 2
 
0.3%
051-303-2262 2
 
0.3%
336-2145 2
 
0.3%
051-728-3495 2
 
0.3%
302-2831 2
 
0.3%
051-941-5520 2
 
0.3%
Other values (566) 579
96.3%
2024-04-18T16:17:56.002712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 854
14.3%
0 806
13.5%
5 779
13.0%
1 708
11.8%
3 532
8.9%
2 524
8.7%
7 413
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 5129
85.6%
Dash Punctuation 854
 
14.3%
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%
5 779
15.2%
1 708
13.8%
3 532
10.4%
2 524
10.2%
7 413
8.1%
8 363
7.1%
4 339
6.6%
6 334
6.5%
9 331
6.5%
Dash Punctuation
ValueCountFrequency (%)
- 854
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 5991
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 854
14.3%
0 806
13.5%
5 779
13.0%
1 708
11.8%
3 532
8.9%
2 524
8.7%
7 413
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 5991
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 854
14.3%
0 806
13.5%
5 779
13.0%
1 708
11.8%
3 532
8.9%
2 524
8.7%
7 413
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 (%)25.5%
Missing2
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean98.147907
Minimum0
Maximum16000
Zeros791
Zeros (%)73.4%
Negative0
Negative (%)0.0%
Memory size9.6 KiB
2024-04-18T16:17:56.138833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q334.37
95-th percentile414.696
Maximum16000
Range16000
Interquartile range (IQR)34.37

Descriptive statistics

Standard deviation575.77505
Coefficient of variation (CV)5.8664017
Kurtosis549.21396
Mean98.147907
Median Absolute Deviation (MAD)0
Skewness20.90596
Sum105509
Variance331516.91
MonotonicityNot monotonic
2024-04-18T16:17:56.271556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 791
73.4%
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
 
24.7%
ValueCountFrequency (%)
0.0 791
73.4%
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 

Missing1077
Missing (%)100.0%
Memory size9.6 KiB

소재지전체주소
Text

MISSING 

Distinct846
Distinct (%)83.2%
Missing60
Missing (%)5.6%
Memory size8.5 KiB
2024-04-18T16:17:56.552330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length42
Mean length22.073746
Min length12

Characters and Unicode

Total characters22449
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

Unique725 ?
Unique (%)71.3%

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 1017
23.8%
강서구 196
 
4.6%
사상구 196
 
4.6%
북구 123
 
2.9%
구포동 94
 
2.2%
기장군 90
 
2.1%
모라동 89
 
2.1%
대저1동 83
 
1.9%
금정구 74
 
1.7%
동래구 69
 
1.6%
Other values (1035) 2246
52.5%
2024-04-18T16:17:56.961071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3262
 
14.5%
1 1155
 
5.1%
산 1120
 
5.0%
부 1112
 
5.0%
동 1095
 
4.9%
구 1034
 
4.6%
광 1028
 
4.6%
시 1019
 
4.5%
역 1017
 
4.5%
- 913
 
4.1%
Other values (209) 9694
43.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13500
60.1%
Decimal Number 4720
 
21.0%
Space Separator 3262
 
14.5%
Dash Punctuation 913
 
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 1120
 
8.3%
부 1112
 
8.2%
동 1095
 
8.1%
구 1034
 
7.7%
광 1028
 
7.6%
시 1019
 
7.5%
역 1017
 
7.5%
지 912
 
6.8%
번 888
 
6.6%
사 299
 
2.2%
Other values (184) 3976
29.5%
Decimal Number
ValueCountFrequency (%)
1 1155
24.5%
2 661
14.0%
3 453
 
9.6%
5 436
 
9.2%
4 425
 
9.0%
7 354
 
7.5%
6 342
 
7.2%
8 332
 
7.0%
9 286
 
6.1%
0 276
 
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 (%)
3262
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 913
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13500
60.1%
Common 8924
39.8%
Latin 25
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 1120
 
8.3%
부 1112
 
8.2%
동 1095
 
8.1%
구 1034
 
7.7%
광 1028
 
7.6%
시 1019
 
7.5%
역 1017
 
7.5%
지 912
 
6.8%
번 888
 
6.6%
사 299
 
2.2%
Other values (184) 3976
29.5%
Common
ValueCountFrequency (%)
3262
36.6%
1 1155
 
12.9%
- 913
 
10.2%
2 661
 
7.4%
3 453
 
5.1%
5 436
 
4.9%
4 425
 
4.8%
7 354
 
4.0%
6 342
 
3.8%
8 332
 
3.7%
Other values (6) 591
 
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 13500
60.1%
ASCII 8949
39.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3262
36.5%
1 1155
 
12.9%
- 913
 
10.2%
2 661
 
7.4%
3 453
 
5.1%
5 436
 
4.9%
4 425
 
4.7%
7 354
 
4.0%
6 342
 
3.8%
8 332
 
3.7%
Other values (15) 616
 
6.9%
Hangul
ValueCountFrequency (%)
산 1120
 
8.3%
부 1112
 
8.2%
동 1095
 
8.1%
구 1034
 
7.7%
광 1028
 
7.6%
시 1019
 
7.5%
역 1017
 
7.5%
지 912
 
6.8%
번 888
 
6.6%
사 299
 
2.2%
Other values (184) 3976
29.5%

도로명전체주소
Text

MISSING 

Distinct825
Distinct (%)86.7%
Missing125
Missing (%)11.6%
Memory size8.5 KiB
2024-04-18T16:17:57.240231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length48
Mean length27.840336
Min length19

Characters and Unicode

Total characters26504
Distinct characters285
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

Unique730 ?
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 952
 
18.8%
강서구 204
 
4.0%
사상구 153
 
3.0%
북구 139
 
2.7%
구포동 106
 
2.1%
대저1동 83
 
1.6%
기장군 81
 
1.6%
1층 77
 
1.5%
금정구 75
 
1.5%
모라동 68
 
1.3%
Other values (1117) 3139
61.8%
2024-04-18T16:17:57.699897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4125
 
15.6%
동 1214
 
4.6%
산 1107
 
4.2%
부 1066
 
4.0%
1 1058
 
4.0%
구 1009
 
3.8%
시 992
 
3.7%
광 965
 
3.6%
역 952
 
3.6%
로 897
 
3.4%
Other values (275) 13119
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15768
59.5%
Decimal Number 4381
 
16.5%
Space Separator 4125
 
15.6%
Close Punctuation 887
 
3.3%
Open Punctuation 887
 
3.3%
Other Punctuation 230
 
0.9%
Dash Punctuation 178
 
0.7%
Uppercase Letter 48
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1214
 
7.7%
산 1107
 
7.0%
부 1066
 
6.8%
구 1009
 
6.4%
시 992
 
6.3%
광 965
 
6.1%
역 952
 
6.0%
로 897
 
5.7%
길 654
 
4.1%
번 607
 
3.8%
Other values (249) 6305
40.0%
Uppercase Letter
ValueCountFrequency (%)
A 17
35.4%
B 13
27.1%
C 7
14.6%
K 2
 
4.2%
I 2
 
4.2%
D 2
 
4.2%
M 1
 
2.1%
Y 1
 
2.1%
T 1
 
2.1%
E 1
 
2.1%
Decimal Number
ValueCountFrequency (%)
1 1058
24.1%
2 602
13.7%
3 477
10.9%
5 476
10.9%
4 365
 
8.3%
7 354
 
8.1%
0 295
 
6.7%
6 272
 
6.2%
9 243
 
5.5%
8 239
 
5.5%
Space Separator
ValueCountFrequency (%)
4125
100.0%
Close Punctuation
ValueCountFrequency (%)
) 887
100.0%
Open Punctuation
ValueCountFrequency (%)
( 887
100.0%
Other Punctuation
ValueCountFrequency (%)
, 230
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 178
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15768
59.5%
Common 10688
40.3%
Latin 48
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1214
 
7.7%
산 1107
 
7.0%
부 1066
 
6.8%
구 1009
 
6.4%
시 992
 
6.3%
광 965
 
6.1%
역 952
 
6.0%
로 897
 
5.7%
길 654
 
4.1%
번 607
 
3.8%
Other values (249) 6305
40.0%
Common
ValueCountFrequency (%)
4125
38.6%
1 1058
 
9.9%
) 887
 
8.3%
( 887
 
8.3%
2 602
 
5.6%
3 477
 
4.5%
5 476
 
4.5%
4 365
 
3.4%
7 354
 
3.3%
0 295
 
2.8%
Other values (5) 1162
 
10.9%
Latin
ValueCountFrequency (%)
A 17
35.4%
B 13
27.1%
C 7
14.6%
K 2
 
4.2%
I 2
 
4.2%
D 2
 
4.2%
M 1
 
2.1%
Y 1
 
2.1%
T 1
 
2.1%
E 1
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15768
59.5%
ASCII 10736
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4125
38.4%
1 1058
 
9.9%
) 887
 
8.3%
( 887
 
8.3%
2 602
 
5.6%
3 477
 
4.4%
5 476
 
4.4%
4 365
 
3.4%
7 354
 
3.3%
0 295
 
2.7%
Other values (16) 1210
 
11.3%
Hangul
ValueCountFrequency (%)
동 1214
 
7.7%
산 1107
 
7.0%
부 1066
 
6.8%
구 1009
 
6.4%
시 992
 
6.3%
광 965
 
6.1%
역 952
 
6.0%
로 897
 
5.7%
길 654
 
4.1%
번 607
 
3.8%
Other values (249) 6305
40.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct343
Distinct (%)44.8%
Missing311
Missing (%)28.9%
Infinite0
Infinite (%)0.0%
Mean48554.183
Minimum46004
Maximum609420
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.6 KiB
2024-04-18T16:17:57.846535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46004
5-th percentile46057.25
Q146645.25
median46901
Q347561.75
95-th percentile49090.25
Maximum609420
Range563416
Interquartile range (IQR)916.5

Descriptive statistics

Standard deviation28667.858
Coefficient of variation (CV)0.59043024
Kurtosis379.86697
Mean48554.183
Median Absolute Deviation (MAD)350.5
Skewness19.507918
Sum37192504
Variance8.2184607 × 108
MonotonicityNot monotonic
2024-04-18T16:17:57.972829image/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
 
3.1%
46702 25
 
2.3%
46703 23
 
2.1%
46901 22
 
2.0%
46723 17
 
1.6%
46704 12
 
1.1%
46701 10
 
0.9%
46705 9
 
0.8%
Other values (333) 532
49.4%
(Missing) 311
28.9%
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

Distinct979
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
2024-04-18T16:17:58.181724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length18
Mean length5.8375116
Min length2

Characters and Unicode

Total characters6287
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

Unique894 ?
Unique (%)83.0%

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%
하나로축산 3
 
0.2%
우림축산 3
 
0.2%
주)건창축산유통 3
 
0.2%
Other values (1004) 1114
91.5%
2024-04-18T16:17:58.507828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 364
 
5.8%
식 304
 
4.8%
) 286
 
4.5%
( 283
 
4.5%
산 277
 
4.4%
품 220
 
3.5%
드 206
 
3.3%
푸 202
 
3.2%
축 200
 
3.2%
유 184
 
2.9%
Other values (398) 3761
59.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5370
85.4%
Close Punctuation 286
 
4.5%
Open Punctuation 283
 
4.5%
Uppercase Letter 153
 
2.4%
Space Separator 140
 
2.2%
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 364
 
6.8%
식 304
 
5.7%
산 277
 
5.2%
품 220
 
4.1%
드 206
 
3.8%
푸 202
 
3.8%
축 200
 
3.7%
유 184
 
3.4%
통 171
 
3.2%
사 99
 
1.8%
Other values (351) 3143
58.5%
Uppercase Letter
ValueCountFrequency (%)
F 22
14.4%
S 14
 
9.2%
C 11
 
7.2%
A 11
 
7.2%
O 11
 
7.2%
M 10
 
6.5%
T 10
 
6.5%
K 9
 
5.9%
G 8
 
5.2%
D 8
 
5.2%
Other values (13) 39
25.5%
Lowercase Letter
ValueCountFrequency (%)
e 5
27.8%
o 3
16.7%
a 2
 
11.1%
d 2
 
11.1%
n 2
 
11.1%
t 2
 
11.1%
m 1
 
5.6%
l 1
 
5.6%
Decimal Number
ValueCountFrequency (%)
2 4
40.0%
1 2
20.0%
3 1
 
10.0%
9 1
 
10.0%
6 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 (%)
) 286
100.0%
Open Punctuation
ValueCountFrequency (%)
( 283
100.0%
Space Separator
ValueCountFrequency (%)
140
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Math Symbol
ValueCountFrequency (%)
= 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5370
85.4%
Common 746
 
11.9%
Latin 171
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 364
 
6.8%
식 304
 
5.7%
산 277
 
5.2%
품 220
 
4.1%
드 206
 
3.8%
푸 202
 
3.8%
축 200
 
3.7%
유 184
 
3.4%
통 171
 
3.2%
사 99
 
1.8%
Other values (351) 3143
58.5%
Latin
ValueCountFrequency (%)
F 22
 
12.9%
S 14
 
8.2%
C 11
 
6.4%
A 11
 
6.4%
O 11
 
6.4%
M 10
 
5.8%
T 10
 
5.8%
K 9
 
5.3%
G 8
 
4.7%
D 8
 
4.7%
Other values (21) 57
33.3%
Common
ValueCountFrequency (%)
) 286
38.3%
( 283
37.9%
140
18.8%
& 16
 
2.1%
. 5
 
0.7%
2 4
 
0.5%
1 2
 
0.3%
/ 2
 
0.3%
3 1
 
0.1%
9 1
 
0.1%
Other values (6) 6
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5370
85.4%
ASCII 916
 
14.6%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 364
 
6.8%
식 304
 
5.7%
산 277
 
5.2%
품 220
 
4.1%
드 206
 
3.8%
푸 202
 
3.8%
축 200
 
3.7%
유 184
 
3.4%
통 171
 
3.2%
사 99
 
1.8%
Other values (351) 3143
58.5%
ASCII
ValueCountFrequency (%)
) 286
31.2%
( 283
30.9%
140
15.3%
F 22
 
2.4%
& 16
 
1.7%
S 14
 
1.5%
C 11
 
1.2%
A 11
 
1.2%
O 11
 
1.2%
M 10
 
1.1%
Other values (36) 112
 
12.2%
None
ValueCountFrequency (%)
· 1
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct1077
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0160636 × 1013
Minimum2.004081 × 1013
Maximum2.0210127 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.6 KiB
2024-04-18T16:17:58.638423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.004081 × 1013
5-th percentile2.0070287 × 1013
Q12.0140515 × 1013
median2.0180103 × 1013
Q32.0190909 × 1013
95-th percentile2.020111 × 1013
Maximum2.0210127 × 1013
Range1.6931704 × 1011
Interquartile range (IQR)5.0393992 × 1010

Descriptive statistics

Standard deviation4.2538686 × 1010
Coefficient of variation (CV)0.0021099872
Kurtosis0.33106241
Mean2.0160636 × 1013
Median Absolute Deviation (MAD)2.0205987 × 1010
Skewness-1.1484193
Sum2.1713006 × 1016
Variance1.8095398 × 1021
MonotonicityNot monotonic
2024-04-18T16:17:59.105055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180308123859 1
 
0.1%
20150908154310 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%
20190228091413 1
 
0.1%
20181122103625 1
 
0.1%
Other values (1067) 1067
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 (%)
20210127173917 1
0.1%
20210127152458 1
0.1%
20210127145155 1
0.1%
20210127114816 1
0.1%
20210126185917 1
0.1%
20210126182621 1
0.1%
20210126092409 1
0.1%
20210125144747 1
0.1%
20210125085120 1
0.1%
20210121090550 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
I
778 
U
299 

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 778
72.2%
U 299
 
27.8%

Length

2024-04-18T16:17:59.226545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:17:59.321050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 778
72.2%
u 299
 
27.8%

데이터갱신일자
Date

Distinct316
Distinct (%)29.3%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
Minimum2018-08-31 23:59:59
Maximum2021-01-29 02:40:00
2024-04-18T16:17:59.448449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T16:17:59.581595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1077
Missing (%)100.0%
Memory size9.6 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct810
Distinct (%)77.9%
Missing37
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean385207.94
Minimum366799.22
Maximum407871.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.6 KiB
2024-04-18T16:17:59.740936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum366799.22
5-th percentile375804.89
Q1380473.36
median382038.28
Q3390534.46
95-th percentile401030.05
Maximum407871.51
Range41072.292
Interquartile range (IQR)10061.092

Descriptive statistics

Standard deviation7511.3543
Coefficient of variation (CV)0.019499479
Kurtosis-0.12127821
Mean385207.94
Median Absolute Deviation (MAD)4735.8715
Skewness0.61433989
Sum4.0061626 × 108
Variance56420443
MonotonicityNot monotonic
2024-04-18T16:17:59.926153image/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 (800) 988
91.7%
(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 

Distinct811
Distinct (%)78.0%
Missing37
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean189486.29
Minimum174428.42
Maximum207175.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.6 KiB
2024-04-18T16:18:00.086452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174428.42
5-th percentile177859.18
Q1186725.44
median190296.01
Q3192297.84
95-th percentile197345.88
Maximum207175.03
Range32746.613
Interquartile range (IQR)5572.3945

Descriptive statistics

Standard deviation5516.9967
Coefficient of variation (CV)0.029115545
Kurtosis1.1073047
Mean189486.29
Median Absolute Deviation (MAD)2446.4137
Skewness-0.14409618
Sum1.9706574 × 108
Variance30437252
MonotonicityNot monotonic
2024-04-18T16:18:00.264293image/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%
190435.092628939 5
 
0.5%
190406.577907013 5
 
0.5%
192522.95492894 5
 
0.5%
190217.437879203 5
 
0.5%
190042.493047649 4
 
0.4%
176789.156786307 4
 
0.4%
190393.142559782 4
 
0.4%
Other values (801) 989
91.8%
(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 size8.5 KiB
식육포장처리업
1075 
<NA>
 
2

Length

Max length7
Median length7
Mean length6.994429
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육포장처리업 1075
99.8%
<NA> 2
 
0.2%

Length

2024-04-18T16:18:00.538988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:18:00.665524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육포장처리업 1075
99.8%
na 2
 
0.2%

축산물가공업구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
식육포장처리업
1075 
<NA>
 
2

Length

Max length7
Median length7
Mean length6.994429
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육포장처리업 1075
99.8%
<NA> 2
 
0.2%

Length

2024-04-18T16:18:00.778520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:18:00.878505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육포장처리업 1075
99.8%
na 2
 
0.2%

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1077
Missing (%)100.0%
Memory size9.6 KiB

권리주체일련번호
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
000
758 
L00
317 
<NA>
 
2

Length

Max length4
Median length3
Mean length3.001857
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
000 758
70.4%
L00 317
29.4%
<NA> 2
 
0.2%

Length

2024-04-18T16:18:00.983543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:18:01.078644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 758
70.4%
l00 317
29.4%
na 2
 
0.2%

총종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1077
Missing (%)100.0%
Memory size9.6 KiB

Unnamed: 33
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1077
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>
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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56식육포장처리업07_22_06_P336000033600001042011000420111102<NA>4취소/말소/만료/정지/중지4말소20190121<NA><NA><NA><NA>0.0<NA>부산광역시 강서구 강동동 2292번지부산광역시 강서구 상덕로119번길 64 (강동동)46706(주)한우와갈돈20190121201317U2019-01-23 02:40:00.0<NA>374558.562519189992.410215식육포장처리업식육포장처리업<NA>L00<NA><NA>
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번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총종업원수Unnamed: 33
10671068식육포장처리업07_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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