Overview

Dataset statistics

Number of variables34
Number of observations429
Missing cells3738
Missing cells (%)25.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory123.3 KiB
Average record size in memory294.3 B

Variable types

Numeric10
Categorical14
Unsupported6
Text3
DateTime1

Dataset

Description2021-01-04
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123030

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
개방자치단체코드 has constant value ""Constant
축산업무구분명 has constant value ""Constant
영업상태구분코드 is highly imbalanced (54.9%)Imbalance
영업상태명 is highly imbalanced (54.9%)Imbalance
상세영업상태코드 is highly imbalanced (54.9%)Imbalance
상세영업상태명 is highly imbalanced (54.9%)Imbalance
휴업시작일자 is highly imbalanced (95.4%)Imbalance
휴업종료일자 is highly imbalanced (95.4%)Imbalance
권리주체일련번호 is highly imbalanced (64.9%)Imbalance
인허가취소일자 has 429 (100.0%) missing valuesMissing
폐업일자 has 326 (76.0%) missing valuesMissing
재개업일자 has 429 (100.0%) missing valuesMissing
소재지전화 has 213 (49.7%) missing valuesMissing
소재지우편번호 has 338 (78.8%) missing valuesMissing
소재지전체주소 has 51 (11.9%) missing valuesMissing
도로명전체주소 has 6 (1.4%) missing valuesMissing
도로명우편번호 has 180 (42.0%) missing valuesMissing
좌표정보(x) has 25 (5.8%) missing valuesMissing
좌표정보(y) has 25 (5.8%) missing valuesMissing
축산물가공업구분명 has 429 (100.0%) missing valuesMissing
축산일련번호 has 429 (100.0%) missing valuesMissing
총종업원수 has 429 (100.0%) missing valuesMissing
Unnamed: 33 has 429 (100.0%) missing valuesMissing
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
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
축산물가공업구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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

Reproduction

Analysis started2024-04-16 10:07:04.802922
Analysis finished2024-04-16 10:07:05.364975
Duration0.56 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct429
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean215
Minimum1
Maximum429
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2024-04-16T19:07:05.419960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile22.4
Q1108
median215
Q3322
95-th percentile407.6
Maximum429
Range428
Interquartile range (IQR)214

Descriptive statistics

Standard deviation123.98589
Coefficient of variation (CV)0.57667854
Kurtosis-1.2
Mean215
Median Absolute Deviation (MAD)107
Skewness0
Sum92235
Variance15372.5
MonotonicityStrictly increasing
2024-04-16T19:07:05.521063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
296 1
 
0.2%
294 1
 
0.2%
293 1
 
0.2%
292 1
 
0.2%
291 1
 
0.2%
290 1
 
0.2%
289 1
 
0.2%
288 1
 
0.2%
287 1
 
0.2%
Other values (419) 419
97.7%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
429 1
0.2%
428 1
0.2%
427 1
0.2%
426 1
0.2%
425 1
0.2%
424 1
0.2%
423 1
0.2%
422 1
0.2%
421 1
0.2%
420 1
0.2%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
사료제조업
429 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사료제조업 429
100.0%

Length

2024-04-16T19:07:05.611620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:07:05.683650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사료제조업 429
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
02_04_05_P
429 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row02_04_05_P
2nd row02_04_05_P
3rd row02_04_05_P
4th row02_04_05_P
5th row02_04_05_P

Common Values

ValueCountFrequency (%)
02_04_05_P 429
100.0%

Length

2024-04-16T19:07:05.761188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:07:05.836089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02_04_05_p 429
100.0%

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
6260000
429 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row6260000
2nd row6260000
3rd row6260000
4th row6260000
5th row6260000

Common Values

ValueCountFrequency (%)
6260000 429
100.0%

Length

2024-04-16T19:07:05.922271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:07:06.031445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6260000 429
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct429
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.2600005 × 1017
Minimum6.2600005 × 1017
Maximum6.2600005 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2024-04-16T19:07:06.126071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.2600005 × 1017
5-th percentile6.2600005 × 1017
Q16.2600005 × 1017
median6.2600005 × 1017
Q36.2600005 × 1017
95-th percentile6.2600005 × 1017
Maximum6.2600005 × 1017
Range450057
Interquartile range (IQR)80000

Descriptive statistics

Standard deviation71669.016
Coefficient of variation (CV)1.1448724 × 10-13
Kurtosis9.3797526
Mean6.2600005 × 1017
Median Absolute Deviation (MAD)39936
Skewness-2.4778043
Sum-8.1471396 × 1018
Variance5.1364479 × 109
MonotonicityNot monotonic
2024-04-16T19:07:06.237519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
626000050220130002 1
 
0.2%
626000050220090007 1
 
0.2%
626000050220090013 1
 
0.2%
626000050220090016 1
 
0.2%
626000050220100001 1
 
0.2%
626000050220100003 1
 
0.2%
626000050220100005 1
 
0.2%
626000050220100006 1
 
0.2%
626000050220100009 1
 
0.2%
626000050220100010 1
 
0.2%
Other values (419) 419
97.7%
ValueCountFrequency (%)
626000050219750001 1
0.2%
626000050219750002 1
0.2%
626000050219750003 1
0.2%
626000050219750004 1
0.2%
626000050219770001 1
0.2%
626000050219790001 1
0.2%
626000050219850001 1
0.2%
626000050219880001 1
0.2%
626000050219930001 1
0.2%
626000050219940001 1
0.2%
ValueCountFrequency (%)
626000050220200058 1
0.2%
626000050220200057 1
0.2%
626000050220200056 1
0.2%
626000050220200055 1
0.2%
626000050220200054 1
0.2%
626000050220200053 1
0.2%
626000050220200052 1
0.2%
626000050220200051 1
0.2%
626000050220200050 1
0.2%
626000050220200049 1
0.2%

인허가일자
Real number (ℝ)

Distinct376
Distinct (%)87.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20132424
Minimum19750627
Maximum20201217
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2024-04-16T19:07:06.345834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19750627
5-th percentile20021090
Q120100728
median20150713
Q320181015
95-th percentile20200811
Maximum20201217
Range450590
Interquartile range (IQR)80287

Descriptive statistics

Standard deviation71810.109
Coefficient of variation (CV)0.0035668885
Kurtosis9.2586891
Mean20132424
Median Absolute Deviation (MAD)39815
Skewness-2.4617027
Sum8.6368097 × 109
Variance5.1566918 × 109
MonotonicityNot monotonic
2024-04-16T19:07:06.460684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200123 4
 
0.9%
20180123 4
 
0.9%
20200402 3
 
0.7%
20160725 3
 
0.7%
20180405 3
 
0.7%
20190627 2
 
0.5%
20161025 2
 
0.5%
20201027 2
 
0.5%
20201012 2
 
0.5%
20200305 2
 
0.5%
Other values (366) 402
93.7%
ValueCountFrequency (%)
19750627 2
0.5%
19750630 1
0.2%
19750805 1
0.2%
19771215 1
0.2%
19790710 1
0.2%
19850129 1
0.2%
19880510 1
0.2%
19930408 1
0.2%
19941029 1
0.2%
19960604 1
0.2%
ValueCountFrequency (%)
20201217 1
0.2%
20201125 1
0.2%
20201124 1
0.2%
20201117 1
0.2%
20201107 1
0.2%
20201103 1
0.2%
20201102 1
0.2%
20201027 2
0.5%
20201012 2
0.5%
20200928 1
0.2%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing429
Missing (%)100.0%
Memory size3.9 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
1
321 
3
102 
2
 
5
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
1 321
74.8%
3 102
 
23.8%
2 5
 
1.2%
4 1
 
0.2%

Length

2024-04-16T19:07:06.559968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:07:06.640987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 321
74.8%
3 102
 
23.8%
2 5
 
1.2%
4 1
 
0.2%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
영업/정상
321 
폐업
102 
휴업
 
5
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length4.2727273
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 321
74.8%
폐업 102
 
23.8%
휴업 5
 
1.2%
취소/말소/만료/정지/중지 1
 
0.2%

Length

2024-04-16T19:07:06.731512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:07:06.821274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 321
74.8%
폐업 102
 
23.8%
휴업 5
 
1.2%
취소/말소/만료/정지/중지 1
 
0.2%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
0
321 
2
102 
1
 
5
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row4
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
0 321
74.8%
2 102
 
23.8%
1 5
 
1.2%
4 1
 
0.2%

Length

2024-04-16T19:07:06.928833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:07:07.018528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 321
74.8%
2 102
 
23.8%
1 5
 
1.2%
4 1
 
0.2%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
정상
321 
폐업
102 
휴업
 
5
말소
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
정상 321
74.8%
폐업 102
 
23.8%
휴업 5
 
1.2%
말소 1
 
0.2%

Length

2024-04-16T19:07:07.109416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:07:07.197476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 321
74.8%
폐업 102
 
23.8%
휴업 5
 
1.2%
말소 1
 
0.2%

폐업일자
Real number (ℝ)

MISSING 

Distinct65
Distinct (%)63.1%
Missing326
Missing (%)76.0%
Infinite0
Infinite (%)0.0%
Mean20153413
Minimum20070129
Maximum20201028
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2024-04-16T19:07:07.296937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070129
5-th percentile20090727
Q120141124
median20160616
Q320180118
95-th percentile20200224
Maximum20201028
Range130899
Interquartile range (IQR)38994

Descriptive statistics

Standard deviation30509.945
Coefficient of variation (CV)0.0015138848
Kurtosis0.070997908
Mean20153413
Median Absolute Deviation (MAD)19502
Skewness-0.65994922
Sum2.0758015 × 109
Variance9.3085672 × 108
MonotonicityNot monotonic
2024-04-16T19:07:07.414131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20141124 21
 
4.9%
20090727 4
 
0.9%
20140930 3
 
0.7%
20180205 3
 
0.7%
20171114 3
 
0.7%
20160616 3
 
0.7%
20170112 2
 
0.5%
20080610 2
 
0.5%
20160725 2
 
0.5%
20180118 2
 
0.5%
Other values (55) 58
 
13.5%
(Missing) 326
76.0%
ValueCountFrequency (%)
20070129 1
 
0.2%
20080610 2
0.5%
20090727 4
0.9%
20091208 1
 
0.2%
20100101 1
 
0.2%
20101005 1
 
0.2%
20110906 1
 
0.2%
20111111 1
 
0.2%
20120306 1
 
0.2%
20120409 1
 
0.2%
ValueCountFrequency (%)
20201028 1
0.2%
20200928 1
0.2%
20200708 1
0.2%
20200325 1
0.2%
20200312 1
0.2%
20200225 1
0.2%
20200213 1
0.2%
20191115 1
0.2%
20190919 1
0.2%
20190821 1
0.2%

휴업시작일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
<NA>
424 
20141027
 
1
20170113
 
1
20190613
 
1
20121211
 
1

Length

Max length8
Median length4
Mean length4.04662
Min length4

Unique

Unique5 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 424
98.8%
20141027 1
 
0.2%
20170113 1
 
0.2%
20190613 1
 
0.2%
20121211 1
 
0.2%
20130207 1
 
0.2%

Length

2024-04-16T19:07:07.532155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:07:07.629183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 424
98.8%
20141027 1
 
0.2%
20170113 1
 
0.2%
20190613 1
 
0.2%
20121211 1
 
0.2%
20130207 1
 
0.2%

휴업종료일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
<NA>
424 
20151026
 
1
20170713
 
1
20200613
 
1
20131210
 
1

Length

Max length8
Median length4
Mean length4.04662
Min length4

Unique

Unique5 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 424
98.8%
20151026 1
 
0.2%
20170713 1
 
0.2%
20200613 1
 
0.2%
20131210 1
 
0.2%
20140207 1
 
0.2%

Length

2024-04-16T19:07:07.730921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:07:07.831931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 424
98.8%
20151026 1
 
0.2%
20170713 1
 
0.2%
20200613 1
 
0.2%
20131210 1
 
0.2%
20140207 1
 
0.2%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing429
Missing (%)100.0%
Memory size3.9 KiB

소재지전화
Real number (ℝ)

MISSING 

Distinct178
Distinct (%)82.4%
Missing213
Missing (%)49.7%
Infinite0
Infinite (%)0.0%
Mean1.1434431 × 109
Minimum5.1 × 108
Maximum7.0883803 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2024-04-16T19:07:07.930453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.1 × 108
5-th percentile5.1246637 × 108
Q15.1412858 × 108
median5.163282 × 108
Q35.1812886 × 108
95-th percentile7.0542912 × 109
Maximum7.0883803 × 109
Range6.5783803 × 109
Interquartile range (IQR)4000279.8

Descriptive statistics

Standard deviation1.9208724 × 109
Coefficient of variation (CV)1.679902
Kurtosis5.6813732
Mean1.1434431 × 109
Median Absolute Deviation (MAD)1986531
Skewness2.7570779
Sum2.4698372 × 1011
Variance3.6897508 × 1018
MonotonicityNot monotonic
2024-04-16T19:07:08.040394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
512668082 5
 
1.2%
516420105 5
 
1.2%
517585355 4
 
0.9%
515321435 3
 
0.7%
516101011 3
 
0.7%
7041098200 3
 
0.7%
519773400 3
 
0.7%
7075383160 3
 
0.7%
519088404 3
 
0.7%
517045256 2
 
0.5%
Other values (168) 182
42.4%
(Missing) 213
49.7%
ValueCountFrequency (%)
510000000 1
0.2%
512045177 1
0.2%
512060364 1
0.2%
512062514 1
0.2%
512204452 1
0.2%
512312725 1
0.2%
512410162 1
0.2%
512420011 1
0.2%
512443027 1
0.2%
512457778 1
0.2%
ValueCountFrequency (%)
7088380291 1
 
0.2%
7088278084 1
 
0.2%
7088208890 1
 
0.2%
7082010473 1
 
0.2%
7076960222 1
 
0.2%
7076787879 1
 
0.2%
7075652615 1
 
0.2%
7075383160 3
0.7%
7070199360 1
 
0.2%
7048988510 1
 
0.2%

소재지면적
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
<NA>
345 
0
84 

Length

Max length4
Median length4
Mean length3.4125874
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 345
80.4%
0 84
 
19.6%

Length

2024-04-16T19:07:08.153785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:07:08.240237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 345
80.4%
0 84
 
19.6%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct61
Distinct (%)67.0%
Missing338
Missing (%)78.8%
Infinite0
Infinite (%)0.0%
Mean609007.18
Minimum600024
Maximum619961
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2024-04-16T19:07:08.339196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600024
5-th percentile601265.5
Q1604836
median607831
Q3613825
95-th percentile618270
Maximum619961
Range19937
Interquartile range (IQR)8989

Descriptive statistics

Standard deviation5875.4353
Coefficient of variation (CV)0.0096475633
Kurtosis-1.1094763
Mean609007.18
Median Absolute Deviation (MAD)4942
Skewness0.4182586
Sum55419653
Variance34520740
MonotonicityNot monotonic
2024-04-16T19:07:08.455694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
604842 5
 
1.2%
618270 4
 
0.9%
602803 4
 
0.9%
608743 4
 
0.9%
608822 4
 
0.9%
604846 3
 
0.7%
604836 3
 
0.7%
617736 3
 
0.7%
600816 2
 
0.5%
617809 2
 
0.5%
Other values (51) 57
 
13.3%
(Missing) 338
78.8%
ValueCountFrequency (%)
600024 1
 
0.2%
600814 1
 
0.2%
600816 2
0.5%
600817 1
 
0.2%
601714 1
 
0.2%
601836 2
0.5%
601838 1
 
0.2%
601839 2
0.5%
602030 1
 
0.2%
602803 4
0.9%
ValueCountFrequency (%)
619961 1
 
0.2%
619912 1
 
0.2%
619905 1
 
0.2%
618806 1
 
0.2%
618270 4
0.9%
617818 1
 
0.2%
617809 2
0.5%
617805 1
 
0.2%
617802 1
 
0.2%
617736 3
0.7%

소재지전체주소
Text

MISSING 

Distinct327
Distinct (%)86.5%
Missing51
Missing (%)11.9%
Memory size3.5 KiB
2024-04-16T19:07:08.958399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length45
Mean length29.420635
Min length8

Characters and Unicode

Total characters11121
Distinct characters293
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique284 ?
Unique (%)75.1%

Sample

1st row부산광역시 남구 감만동 225번지 2호 현대아파트 상가 11동 103호
2nd row부산광역시 수영구 망미동 418번지 4호 201호
3rd row부산광역시 부산진구 초읍동 296번지 3호
4th row부산광역시 기장군 정관읍 모전리 717번지 0호 202호
5th row부산광역시 영도구 남항동1가 169번지 0호
ValueCountFrequency (%)
부산광역시 376
 
16.8%
1호 58
 
2.6%
사하구 41
 
1.8%
해운대구 39
 
1.7%
남구 31
 
1.4%
강서구 31
 
1.4%
2호 31
 
1.4%
0호 30
 
1.3%
사상구 27
 
1.2%
장림동 25
 
1.1%
Other values (685) 1546
69.2%
2024-04-16T19:07:09.315416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2210
19.9%
1 560
 
5.0%
호 497
 
4.5%
동 464
 
4.2%
산 442
 
4.0%
부 425
 
3.8%
지 404
 
3.6%
광 389
 
3.5%
시 387
 
3.5%
역 376
 
3.4%
Other values (283) 4967
44.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6582
59.2%
Decimal Number 2271
 
20.4%
Space Separator 2210
 
19.9%
Uppercase Letter 28
 
0.3%
Dash Punctuation 8
 
0.1%
Other Punctuation 7
 
0.1%
Open Punctuation 5
 
< 0.1%
Close Punctuation 5
 
< 0.1%
Lowercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
호 497
 
7.6%
동 464
 
7.0%
산 442
 
6.7%
부 425
 
6.5%
지 404
 
6.1%
광 389
 
5.9%
시 387
 
5.9%
역 376
 
5.7%
번 375
 
5.7%
구 362
 
5.5%
Other values (247) 2461
37.4%
Uppercase Letter
ValueCountFrequency (%)
B 9
32.1%
L 4
14.3%
G 3
 
10.7%
A 2
 
7.1%
S 2
 
7.1%
C 2
 
7.1%
T 1
 
3.6%
D 1
 
3.6%
H 1
 
3.6%
U 1
 
3.6%
Other values (2) 2
 
7.1%
Decimal Number
ValueCountFrequency (%)
1 560
24.7%
2 297
13.1%
0 270
11.9%
3 238
10.5%
4 219
 
9.6%
5 185
 
8.1%
7 149
 
6.6%
8 127
 
5.6%
6 123
 
5.4%
9 103
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 2
28.6%
/ 2
28.6%
# 1
14.3%
; 1
14.3%
& 1
14.3%
Lowercase Letter
ValueCountFrequency (%)
e 1
20.0%
v 1
20.0%
i 1
20.0%
l 1
20.0%
o 1
20.0%
Space Separator
ValueCountFrequency (%)
2210
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6582
59.2%
Common 4506
40.5%
Latin 33
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
호 497
 
7.6%
동 464
 
7.0%
산 442
 
6.7%
부 425
 
6.5%
지 404
 
6.1%
광 389
 
5.9%
시 387
 
5.9%
역 376
 
5.7%
번 375
 
5.7%
구 362
 
5.5%
Other values (247) 2461
37.4%
Common
ValueCountFrequency (%)
2210
49.0%
1 560
 
12.4%
2 297
 
6.6%
0 270
 
6.0%
3 238
 
5.3%
4 219
 
4.9%
5 185
 
4.1%
7 149
 
3.3%
8 127
 
2.8%
6 123
 
2.7%
Other values (9) 128
 
2.8%
Latin
ValueCountFrequency (%)
B 9
27.3%
L 4
12.1%
G 3
 
9.1%
A 2
 
6.1%
S 2
 
6.1%
C 2
 
6.1%
T 1
 
3.0%
D 1
 
3.0%
H 1
 
3.0%
e 1
 
3.0%
Other values (7) 7
21.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6582
59.2%
ASCII 4539
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2210
48.7%
1 560
 
12.3%
2 297
 
6.5%
0 270
 
5.9%
3 238
 
5.2%
4 219
 
4.8%
5 185
 
4.1%
7 149
 
3.3%
8 127
 
2.8%
6 123
 
2.7%
Other values (26) 161
 
3.5%
Hangul
ValueCountFrequency (%)
호 497
 
7.6%
동 464
 
7.0%
산 442
 
6.7%
부 425
 
6.5%
지 404
 
6.1%
광 389
 
5.9%
시 387
 
5.9%
역 376
 
5.7%
번 375
 
5.7%
구 362
 
5.5%
Other values (247) 2461
37.4%

도로명전체주소
Text

MISSING 

Distinct371
Distinct (%)87.7%
Missing6
Missing (%)1.4%
Memory size3.5 KiB
2024-04-16T19:07:09.591695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length46
Mean length32.375887
Min length18

Characters and Unicode

Total characters13695
Distinct characters335
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique332 ?
Unique (%)78.5%

Sample

1st row부산광역시 남구 우암로2번길 5 (감만동,현대아파트 상가 11동 103호)
2nd row부산광역시 수영구 과정로16번길 17, 201호 (망미동)
3rd row부산광역시 부산진구 월드컵대로467번길 2, 지하1층 (초읍동)
4th row부산광역시 기장군 정관읍 정관1로 51, 2층 202호
5th row부산광역시 영도구 절영로43번길 22, 1층 (남항동1가)
ValueCountFrequency (%)
부산광역시 423
 
16.9%
해운대구 49
 
2.0%
사하구 47
 
1.9%
1층 43
 
1.7%
강서구 36
 
1.4%
남구 31
 
1.2%
기장군 31
 
1.2%
사상구 27
 
1.1%
금정구 27
 
1.1%
중구 26
 
1.0%
Other values (873) 1758
70.4%
2024-04-16T19:07:10.025690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2075
 
15.2%
1 587
 
4.3%
동 550
 
4.0%
산 522
 
3.8%
부 470
 
3.4%
광 447
 
3.3%
시 447
 
3.3%
역 423
 
3.1%
구 407
 
3.0%
로 406
 
3.0%
Other values (325) 7361
53.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7975
58.2%
Decimal Number 2339
 
17.1%
Space Separator 2075
 
15.2%
Close Punctuation 401
 
2.9%
Open Punctuation 401
 
2.9%
Other Punctuation 356
 
2.6%
Dash Punctuation 109
 
0.8%
Uppercase Letter 34
 
0.2%
Lowercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 550
 
6.9%
산 522
 
6.5%
부 470
 
5.9%
광 447
 
5.6%
시 447
 
5.6%
역 423
 
5.3%
구 407
 
5.1%
로 406
 
5.1%
대 226
 
2.8%
호 178
 
2.2%
Other values (286) 3899
48.9%
Uppercase Letter
ValueCountFrequency (%)
B 8
23.5%
L 4
11.8%
A 4
11.8%
C 3
 
8.8%
G 3
 
8.8%
E 2
 
5.9%
S 2
 
5.9%
P 2
 
5.9%
D 1
 
2.9%
K 1
 
2.9%
Other values (4) 4
11.8%
Decimal Number
ValueCountFrequency (%)
1 587
25.1%
3 320
13.7%
2 310
13.3%
0 269
11.5%
4 192
 
8.2%
5 154
 
6.6%
6 149
 
6.4%
7 137
 
5.9%
8 124
 
5.3%
9 97
 
4.1%
Other Punctuation
ValueCountFrequency (%)
, 350
98.3%
/ 2
 
0.6%
& 1
 
0.3%
# 1
 
0.3%
; 1
 
0.3%
. 1
 
0.3%
Lowercase Letter
ValueCountFrequency (%)
e 1
20.0%
v 1
20.0%
i 1
20.0%
l 1
20.0%
o 1
20.0%
Space Separator
ValueCountFrequency (%)
2075
100.0%
Close Punctuation
ValueCountFrequency (%)
) 401
100.0%
Open Punctuation
ValueCountFrequency (%)
( 401
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 109
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7975
58.2%
Common 5681
41.5%
Latin 39
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 550
 
6.9%
산 522
 
6.5%
부 470
 
5.9%
광 447
 
5.6%
시 447
 
5.6%
역 423
 
5.3%
구 407
 
5.1%
로 406
 
5.1%
대 226
 
2.8%
호 178
 
2.2%
Other values (286) 3899
48.9%
Common
ValueCountFrequency (%)
2075
36.5%
1 587
 
10.3%
) 401
 
7.1%
( 401
 
7.1%
, 350
 
6.2%
3 320
 
5.6%
2 310
 
5.5%
0 269
 
4.7%
4 192
 
3.4%
5 154
 
2.7%
Other values (10) 622
 
10.9%
Latin
ValueCountFrequency (%)
B 8
20.5%
L 4
10.3%
A 4
10.3%
C 3
 
7.7%
G 3
 
7.7%
E 2
 
5.1%
S 2
 
5.1%
P 2
 
5.1%
D 1
 
2.6%
K 1
 
2.6%
Other values (9) 9
23.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7975
58.2%
ASCII 5720
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2075
36.3%
1 587
 
10.3%
) 401
 
7.0%
( 401
 
7.0%
, 350
 
6.1%
3 320
 
5.6%
2 310
 
5.4%
0 269
 
4.7%
4 192
 
3.4%
5 154
 
2.7%
Other values (29) 661
 
11.6%
Hangul
ValueCountFrequency (%)
동 550
 
6.9%
산 522
 
6.5%
부 470
 
5.9%
광 447
 
5.6%
시 447
 
5.6%
역 423
 
5.3%
구 407
 
5.1%
로 406
 
5.1%
대 226
 
2.8%
호 178
 
2.2%
Other values (286) 3899
48.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct179
Distinct (%)71.9%
Missing180
Missing (%)42.0%
Infinite0
Infinite (%)0.0%
Mean47905.349
Minimum46006
Maximum49510
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2024-04-16T19:07:10.146829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46006
5-th percentile46049
Q146977
median48059
Q348937
95-th percentile49478.6
Maximum49510
Range3504
Interquartile range (IQR)1960

Descriptive statistics

Standard deviation1111.2169
Coefficient of variation (CV)0.023196093
Kurtosis-1.207072
Mean47905.349
Median Absolute Deviation (MAD)995
Skewness-0.16173663
Sum11928432
Variance1234803.1
MonotonicityNot monotonic
2024-04-16T19:07:10.268023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
49479 6
 
1.4%
49273 5
 
1.2%
49429 4
 
0.9%
48418 4
 
0.9%
46218 3
 
0.7%
48119 3
 
0.7%
49484 3
 
0.7%
47249 3
 
0.7%
46332 3
 
0.7%
48306 3
 
0.7%
Other values (169) 212
49.4%
(Missing) 180
42.0%
ValueCountFrequency (%)
46006 1
 
0.2%
46008 3
0.7%
46018 1
 
0.2%
46020 2
0.5%
46022 1
 
0.2%
46024 1
 
0.2%
46026 2
0.5%
46044 1
 
0.2%
46047 1
 
0.2%
46052 2
0.5%
ValueCountFrequency (%)
49510 1
 
0.2%
49490 1
 
0.2%
49485 2
 
0.5%
49484 3
0.7%
49479 6
1.4%
49478 2
 
0.5%
49477 1
 
0.2%
49469 1
 
0.2%
49465 2
 
0.5%
49460 1
 
0.2%

사업장명
Text

Distinct356
Distinct (%)83.0%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2024-04-16T19:07:10.488069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length6.7878788
Min length2

Characters and Unicode

Total characters2912
Distinct characters373
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique305 ?
Unique (%)71.1%

Sample

1st row건강아
2nd row쇼브리에
3rd row베이비베이비도그카페
4th row미자콩
5th row마틸다독
ValueCountFrequency (%)
주식회사 16
 
3.1%
리프패럿 6
 
1.2%
이화유지공업(주 5
 
1.0%
한성종합상사 4
 
0.8%
제이에스팜 4
 
0.8%
오엠씨코리아(주 4
 
0.8%
퍼플 4
 
0.8%
바우와우코리아 4
 
0.8%
부산바이오 3
 
0.6%
pet 3
 
0.6%
Other values (395) 456
89.6%
2024-04-16T19:07:10.834610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 185
 
6.4%
) 184
 
6.3%
( 184
 
6.3%
이 100
 
3.4%
82
 
2.8%
스 68
 
2.3%
리 53
 
1.8%
산 46
 
1.6%
사 46
 
1.6%
아 43
 
1.5%
Other values (363) 1921
66.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2296
78.8%
Close Punctuation 184
 
6.3%
Open Punctuation 184
 
6.3%
Uppercase Letter 89
 
3.1%
Space Separator 82
 
2.8%
Lowercase Letter 67
 
2.3%
Other Punctuation 8
 
0.3%
Decimal Number 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 185
 
8.1%
이 100
 
4.4%
스 68
 
3.0%
리 53
 
2.3%
산 46
 
2.0%
사 46
 
2.0%
아 43
 
1.9%
에 41
 
1.8%
코 39
 
1.7%
바 34
 
1.5%
Other values (319) 1641
71.5%
Uppercase Letter
ValueCountFrequency (%)
A 9
 
10.1%
M 8
 
9.0%
O 6
 
6.7%
T 6
 
6.7%
R 6
 
6.7%
S 6
 
6.7%
E 5
 
5.6%
C 5
 
5.6%
F 5
 
5.6%
J 5
 
5.6%
Other values (10) 28
31.5%
Lowercase Letter
ValueCountFrequency (%)
o 10
14.9%
e 8
11.9%
i 6
9.0%
a 6
9.0%
t 5
 
7.5%
r 5
 
7.5%
p 4
 
6.0%
k 4
 
6.0%
m 3
 
4.5%
s 3
 
4.5%
Other values (7) 13
19.4%
Other Punctuation
ValueCountFrequency (%)
. 7
87.5%
& 1
 
12.5%
Close Punctuation
ValueCountFrequency (%)
) 184
100.0%
Open Punctuation
ValueCountFrequency (%)
( 184
100.0%
Space Separator
ValueCountFrequency (%)
82
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2296
78.8%
Common 460
 
15.8%
Latin 156
 
5.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 185
 
8.1%
이 100
 
4.4%
스 68
 
3.0%
리 53
 
2.3%
산 46
 
2.0%
사 46
 
2.0%
아 43
 
1.9%
에 41
 
1.8%
코 39
 
1.7%
바 34
 
1.5%
Other values (319) 1641
71.5%
Latin
ValueCountFrequency (%)
o 10
 
6.4%
A 9
 
5.8%
e 8
 
5.1%
M 8
 
5.1%
O 6
 
3.8%
T 6
 
3.8%
R 6
 
3.8%
i 6
 
3.8%
S 6
 
3.8%
a 6
 
3.8%
Other values (27) 85
54.5%
Common
ValueCountFrequency (%)
) 184
40.0%
( 184
40.0%
82
17.8%
. 7
 
1.5%
3 1
 
0.2%
- 1
 
0.2%
& 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2296
78.8%
ASCII 616
 
21.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 185
 
8.1%
이 100
 
4.4%
스 68
 
3.0%
리 53
 
2.3%
산 46
 
2.0%
사 46
 
2.0%
아 43
 
1.9%
에 41
 
1.8%
코 39
 
1.7%
바 34
 
1.5%
Other values (319) 1641
71.5%
ASCII
ValueCountFrequency (%)
) 184
29.9%
( 184
29.9%
82
13.3%
o 10
 
1.6%
A 9
 
1.5%
e 8
 
1.3%
M 8
 
1.3%
. 7
 
1.1%
O 6
 
1.0%
T 6
 
1.0%
Other values (34) 112
18.2%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct429
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0170829 × 1013
Minimum2.0070131 × 1013
Maximum2.0201221 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2024-04-16T19:07:10.959412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0070131 × 1013
5-th percentile2.014093 × 1013
Q12.0150702 × 1013
median2.0170802 × 1013
Q32.0191227 × 1013
95-th percentile2.0200979 × 1013
Maximum2.0201221 × 1013
Range1.3108998 × 1011
Interquartile range (IQR)4.0524999 × 1010

Descriptive statistics

Standard deviation2.5329917 × 1010
Coefficient of variation (CV)0.0012557697
Kurtosis0.583209
Mean2.0170829 × 1013
Median Absolute Deviation (MAD)2.0099982 × 1010
Skewness-0.70118057
Sum8.6532858 × 1015
Variance6.4160468 × 1020
MonotonicityNot monotonic
2024-04-16T19:07:11.082176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180627090039 1
 
0.2%
20150618082904 1
 
0.2%
20150702142920 1
 
0.2%
20150702170552 1
 
0.2%
20161011150144 1
 
0.2%
20150702144119 1
 
0.2%
20150702144200 1
 
0.2%
20150702144242 1
 
0.2%
20200303090150 1
 
0.2%
20150702144351 1
 
0.2%
Other values (419) 419
97.7%
ValueCountFrequency (%)
20070131112949 1
0.2%
20090110110050 1
0.2%
20090110110143 1
0.2%
20090727104558 1
0.2%
20090727104641 1
0.2%
20090727104721 1
0.2%
20090727104751 1
0.2%
20091208174942 1
0.2%
20101005101404 1
0.2%
20101208105751 1
0.2%
ValueCountFrequency (%)
20201221093541 1
0.2%
20201217163625 1
0.2%
20201216101712 1
0.2%
20201216101533 1
0.2%
20201215083430 1
0.2%
20201211085801 1
0.2%
20201210104116 1
0.2%
20201207092314 1
0.2%
20201201103531 1
0.2%
20201201103448 1
0.2%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
I
359 
U
70 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 359
83.7%
U 70
 
16.3%

Length

2024-04-16T19:07:11.205345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:07:11.302530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 359
83.7%
u 70
 
16.3%

데이터갱신일자
Date

Distinct133
Distinct (%)31.0%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
Minimum2018-09-27 23:59:59
Maximum2020-12-23 02:40:00
2024-04-16T19:07:11.409783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T19:07:11.546683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
사료제조업(수입)
192 
사료제조업(단미)
169 
사료제조업(배합)
41 
사료제조업(보조)
27 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row사료제조업(배합)
2nd row사료제조업(단미)
3rd row사료제조업(단미)
4th row사료제조업(단미)
5th row사료제조업(단미)

Common Values

ValueCountFrequency (%)
사료제조업(수입) 192
44.8%
사료제조업(단미) 169
39.4%
사료제조업(배합) 41
 
9.6%
사료제조업(보조) 27
 
6.3%

Length

2024-04-16T19:07:11.652585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:07:11.747182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사료제조업(수입 192
44.8%
사료제조업(단미 169
39.4%
사료제조업(배합 41
 
9.6%
사료제조업(보조 27
 
6.3%

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct312
Distinct (%)77.2%
Missing25
Missing (%)5.8%
Infinite0
Infinite (%)0.0%
Mean387339.28
Minimum367517.2
Maximum403995.27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2024-04-16T19:07:11.862633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum367517.2
5-th percentile377395.87
Q1382229.89
median387896.35
Q3392417.54
95-th percentile398931.69
Maximum403995.27
Range36478.068
Interquartile range (IQR)10187.644

Descriptive statistics

Standard deviation7250.7138
Coefficient of variation (CV)0.018719284
Kurtosis-0.21410597
Mean387339.28
Median Absolute Deviation (MAD)4691.6604
Skewness-0.1158588
Sum1.5648507 × 108
Variance52572851
MonotonicityNot monotonic
2024-04-16T19:07:11.979001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
391411.212179843 6
 
1.4%
379028.496159721 5
 
1.2%
383518.040204105 5
 
1.2%
388298.58931572 4
 
0.9%
390025.840359689 4
 
0.9%
392500.0 4
 
0.9%
389016.244891058 4
 
0.9%
384515.986951315 3
 
0.7%
396180.621244719 3
 
0.7%
381071.994388978 3
 
0.7%
Other values (302) 363
84.6%
(Missing) 25
 
5.8%
ValueCountFrequency (%)
367517.202595356 1
0.2%
369309.811851693 1
0.2%
369325.705193954 1
0.2%
369425.959574129 1
0.2%
369542.333034459 2
0.5%
369569.097768725 1
0.2%
370185.330778163 2
0.5%
370434.877256686 1
0.2%
370936.02436193 2
0.5%
371094.285732956 1
0.2%
ValueCountFrequency (%)
403995.271035709 1
0.2%
403214.134727013 2
0.5%
402763.515418644 1
0.2%
402113.877553058 1
0.2%
401504.155820959 1
0.2%
401387.315099233 1
0.2%
401266.863237 1
0.2%
401234.324418 1
0.2%
401044.603899 1
0.2%
400680.131273 1
0.2%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct312
Distinct (%)77.2%
Missing25
Missing (%)5.8%
Infinite0
Infinite (%)0.0%
Mean186037.43
Minimum174714.26
Maximum206277
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2024-04-16T19:07:12.090915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174714.26
5-th percentile177039.51
Q1180306.82
median185929.06
Q3189621.88
95-th percentile199237.92
Maximum206277
Range31562.74
Interquartile range (IQR)9315.058

Descriptive statistics

Standard deviation6925.3988
Coefficient of variation (CV)0.037225836
Kurtosis0.36181925
Mean186037.43
Median Absolute Deviation (MAD)4822.554
Skewness0.7221927
Sum75159122
Variance47961149
MonotonicityNot monotonic
2024-04-16T19:07:12.210683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
184052.409245407 6
 
1.4%
178626.290764131 5
 
1.2%
175580.741380931 5
 
1.2%
183380.156210672 4
 
0.9%
199541.723268072 4
 
0.9%
193111.0 4
 
0.9%
184582.515325585 4
 
0.9%
178275.156929713 3
 
0.7%
186522.35047527 3
 
0.7%
184421.462313728 3
 
0.7%
Other values (302) 363
84.6%
(Missing) 25
 
5.8%
ValueCountFrequency (%)
174714.259517295 1
 
0.2%
175140.099221406 1
 
0.2%
175495.143558328 1
 
0.2%
175508.0 1
 
0.2%
175520.650585192 1
 
0.2%
175580.741380931 5
1.2%
175849.843042 1
 
0.2%
175961.502935055 1
 
0.2%
175962.567924767 1
 
0.2%
176321.435292422 1
 
0.2%
ValueCountFrequency (%)
206277.0 1
0.2%
205438.770309037 1
0.2%
205382.553682 1
0.2%
205347.592953 1
0.2%
205191.82966 1
0.2%
205131.27479 1
0.2%
204997.495608 1
0.2%
204834.258014 1
0.2%
204812.054415 1
0.2%
204764.101089 1
0.2%

축산업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
사료제조업
429 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사료제조업 429
100.0%

Length

2024-04-16T19:07:12.311343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:07:12.384759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사료제조업 429
100.0%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing429
Missing (%)100.0%
Memory size3.9 KiB

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing429
Missing (%)100.0%
Memory size3.9 KiB

권리주체일련번호
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
000
376 
L00
52 
O00
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
000 376
87.6%
L00 52
 
12.1%
O00 1
 
0.2%

Length

2024-04-16T19:07:12.469840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:07:12.548316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 376
87.6%
l00 52
 
12.1%
o00 1
 
0.2%

총종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing429
Missing (%)100.0%
Memory size3.9 KiB

Unnamed: 33
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing429
Missing (%)100.0%
Memory size3.9 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총종업원수Unnamed: 33
01사료제조업02_04_05_P626000062600005022013000220130205<NA>4취소/말소/만료/정지/중지4말소20180626<NA><NA><NA><NA><NA><NA>부산광역시 남구 감만동 225번지 2호 현대아파트 상가 11동 103호부산광역시 남구 우암로2번길 5 (감만동,현대아파트 상가 11동 103호)<NA>건강아20180627090039I2019-03-23 02:20:03.0사료제조업(배합)389850.343685181186.374217사료제조업<NA><NA>000<NA><NA>
12사료제조업02_04_05_P626000062600005022017002320170622<NA>3폐업2폐업20181029<NA><NA><NA><NA>0<NA>부산광역시 수영구 망미동 418번지 4호 201호부산광역시 수영구 과정로16번길 17, 201호 (망미동)48219쇼브리에20181029170847I2018-10-31 02:36:07.0사료제조업(단미)392109.032778188059.328178사료제조업<NA><NA>000<NA><NA>
23사료제조업02_04_05_P626000062600005022018001920181008<NA>3폐업2폐업20190919<NA><NA><NA><NA><NA><NA>부산광역시 부산진구 초읍동 296번지 3호부산광역시 부산진구 월드컵대로467번길 2, 지하1층 (초읍동)47111베이비베이비도그카페20190920093143U2019-09-22 02:40:00.0사료제조업(단미)<NA><NA>사료제조업<NA><NA>000<NA><NA>
34사료제조업02_04_05_P626000062600005022019002120190704<NA>3폐업2폐업20201028<NA><NA><NA><NA><NA><NA>부산광역시 기장군 정관읍 모전리 717번지 0호 202호부산광역시 기장군 정관읍 정관1로 51, 2층 202호46008미자콩20201028171239U2020-10-30 02:40:00.0사료제조업(단미)<NA><NA>사료제조업<NA><NA>000<NA><NA>
45사료제조업02_04_05_P626000062600005022019001720190605<NA>3폐업2폐업20200928<NA><NA><NA><NA><NA><NA>부산광역시 영도구 남항동1가 169번지 0호부산광역시 영도구 절영로43번길 22, 1층 (남항동1가)49054마틸다독20200928150448U2020-09-30 02:40:00.0사료제조업(단미)385960.463233178695.549023사료제조업<NA><NA>000<NA><NA>
56사료제조업02_04_05_P626000062600005022016001420160504<NA>3폐업2폐업20160725<NA><NA><NA>5115885763<NA><NA>부산광역시 금정구 남산동 15번지 1호부산광역시 금정구 금강로740번길 32 (남산동)<NA>퍼플20160725161045I2019-03-23 02:20:03.0사료제조업(단미)390164.901747199128.559565사료제조업<NA><NA>000<NA><NA>
67사료제조업02_04_05_P626000062600005022016001320160503<NA>3폐업2폐업20190208<NA><NA><NA>519054612<NA><NA>부산광역시 중구 중앙동4가 76번지 8호 203호부산광역시 중구 충장대로5번길 67, 203호 (중앙동4가)<NA>(주)제이투케이글로벌20200310141625U2020-03-12 02:40:00.0사료제조업(수입)385774.718169181016.388386사료제조업<NA><NA>000<NA><NA>
78사료제조업02_04_05_P626000062600005022016000720160329<NA>3폐업2폐업20180531<NA><NA><NA>515321435<NA><NA>부산광역시 남구 용당동 252번지 5호 용당캠퍼스 종합실습관 112호부산광역시 남구 신선로 365, 112호 (용당동,용당캠퍼스종합실습관)<NA>(주)씨웰펫헬스케어20180531154017I2019-03-23 02:20:03.0사료제조업(배합)390774.849528182281.089746사료제조업<NA><NA>L00<NA><NA>
89사료제조업02_04_05_P626000062600005022016000220160218<NA>3폐업2폐업20170112<NA><NA><NA><NA><NA><NA><NA>부산광역시 기장군 기장읍 차성로404번길 61, 1층 (스위트빌)46056PET COMMA(펫콤마)20170112194938I2019-03-23 02:20:03.0사료제조업(단미)401504.155821196852.507124사료제조업<NA><NA>000<NA><NA>
910사료제조업02_04_05_P626000062600005022016000120160216<NA>3폐업2폐업20161115<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 세실로 64, 지하1층 127호 (좌동,화목데파트상가지하1층127호)48107엘란콜란20161115152434I2019-03-23 02:20:03.0사료제조업(단미)398320.764293187928.258298사료제조업<NA><NA>000<NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총종업원수Unnamed: 33
419420사료제조업02_04_05_P626000062600005022016001120160502<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>부산광역시 금정구 금사동 75번지 76호부산광역시 금정구 공단로 68-3 (금사동)<NA>주식회사 리프패럿20200407093758U2020-04-09 02:40:00.0사료제조업(수입)<NA><NA>사료제조업<NA><NA>L00<NA><NA>
420421사료제조업02_04_05_P626000062600005022015000420150126<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>부산광역시 금정구 금사동 75번지 76호부산광역시 금정구 공단로 68-3 (금사동)<NA>주식회사 리프패럿20200407093909U2020-04-09 02:40:00.0사료제조업(수입)<NA><NA>사료제조업<NA><NA>L00<NA><NA>
421422사료제조업02_04_05_P626000062600005022010001520101101<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA><NA>부산광역시 중구 구덕로 87-1, 6층 (남포동6가,하버타워)<NA>정일산업(주) 세인 챔피언호20201216101533U2020-12-18 02:40:00.0사료제조업(단미)384708.848958179404.943227사료제조업<NA><NA>000<NA><NA>
422423사료제조업02_04_05_P626000062600005022006000520060703<NA>1영업/정상0정상<NA><NA><NA><NA>5125306660<NA>부산광역시 중구 남포동6가 113번지 1호 하버타워 6층부산광역시 중구 구덕로 87-1 (남포동6가,하버타워 6층)<NA>정일산업(주) 세인 리더호20201216101712U2020-12-18 02:40:00.0사료제조업(단미)384708.848958179404.943227사료제조업<NA><NA>000<NA><NA>
423424사료제조업02_04_05_P626000062600005022017002720170801<NA>1영업/정상0정상<NA><NA><NA><NA>5136248600<NA>부산광역시 동래구 온천동 1435번지 27호부산광역시 동래구 중앙대로1333번길 12, 1층 (온천동)<NA>엔젤인펫츠20190111100756I2019-01-13 02:20:47.0사료제조업(단미)389037.939887191640.809702사료제조업<NA><NA>000<NA><NA>
424425사료제조업02_04_05_P626000062600005022017002620170801<NA>1영업/정상0정상<NA><NA><NA><NA>5136248600<NA>부산광역시 동래구 온천동 1435번지 27호 삼소헌빌딩부산광역시 동래구 중앙대로1333번길 12, 1층 (온천동,삼소헌빌딩)<NA>엔젤인펫츠20190111100640I2019-01-13 02:20:47.0사료제조업(배합)389037.939887191640.809702사료제조업<NA><NA>000<NA><NA>
425426사료제조업02_04_05_P626000062600005022016001920160616<NA>1영업/정상0정상<NA><NA><NA><NA>5126680820<NA>부산광역시 기장군 정관읍 달산리 44번지 5호부산광역시 기장군 정관읍 산단5로 100-61<NA>(주)바우와우코리아20190530150507U2019-06-01 02:40:00.0사료제조업(배합)400326.980983204198.985964사료제조업<NA><NA>000<NA><NA>
426427사료제조업02_04_05_P626000062600005022016001820160616<NA>1영업/정상0정상<NA><NA><NA><NA>5126680820<NA>부산광역시 기장군 정관읍 달산리 44번지 5호부산광역시 기장군 정관읍 산단5로 100-61<NA>(주)바우와우코리아20190530150539U2019-06-01 02:40:00.0사료제조업(단미)400326.980983204198.985964사료제조업<NA><NA>000<NA><NA>
427428사료제조업02_04_05_P626000062600005022012001520120704<NA>1영업/정상0정상<NA><NA><NA><NA>7075383160<NA><NA><NA>부산광역시 기장군 일광면 삼성1길 6-5, 1층 (일광빌딩)<NA>올바른20190129091352I2019-01-31 02:21:05.0사료제조업(수입)403214.134727198394.372835사료제조업<NA><NA>000<NA><NA>
428429사료제조업02_04_05_P626000062600005022019000320190122<NA>1영업/정상0정상<NA><NA><NA><NA>5172752850<NA>부산광역시 기장군 정관읍 매학리 531번지 44호부산광역시 기장군 정관읍 정관상곡1길 95<NA>(주)아우성20200120155708U2020-01-22 02:40:00.0사료제조업(단미)400463.664595205382.553682사료제조업<NA><NA>000<NA><NA>