Overview

Dataset statistics

Number of variables34
Number of observations441
Missing cells3850
Missing cells (%)25.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory126.7 KiB
Average record size in memory294.3 B

Variable types

Numeric10
Categorical14
Unsupported6
Text3
DateTime1

Dataset

Description2021-04-01
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 (55.4%)Imbalance
영업상태명 is highly imbalanced (55.4%)Imbalance
상세영업상태코드 is highly imbalanced (55.4%)Imbalance
상세영업상태명 is highly imbalanced (55.4%)Imbalance
휴업시작일자 is highly imbalanced (95.5%)Imbalance
휴업종료일자 is highly imbalanced (95.5%)Imbalance
권리주체일련번호 is highly imbalanced (64.3%)Imbalance
인허가취소일자 has 441 (100.0%) missing valuesMissing
폐업일자 has 337 (76.4%) missing valuesMissing
재개업일자 has 441 (100.0%) missing valuesMissing
소재지전화 has 224 (50.8%) missing valuesMissing
소재지우편번호 has 350 (79.4%) missing valuesMissing
소재지전체주소 has 51 (11.6%) missing valuesMissing
도로명전체주소 has 6 (1.4%) missing valuesMissing
도로명우편번호 has 186 (42.2%) missing valuesMissing
좌표정보(x) has 25 (5.7%) missing valuesMissing
좌표정보(y) has 25 (5.7%) missing valuesMissing
축산물가공업구분명 has 441 (100.0%) missing valuesMissing
축산일련번호 has 441 (100.0%) missing valuesMissing
총종업원수 has 441 (100.0%) missing valuesMissing
Unnamed: 33 has 441 (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 10:05:55.903485
Analysis finished2024-04-16 10:05:56.480356
Duration0.58 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct441
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean221
Minimum1
Maximum441
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-04-16T19:05:56.537642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile23
Q1111
median221
Q3331
95-th percentile419
Maximum441
Range440
Interquartile range (IQR)220

Descriptive statistics

Standard deviation127.44999
Coefficient of variation (CV)0.57669679
Kurtosis-1.2
Mean221
Median Absolute Deviation (MAD)110
Skewness0
Sum97461
Variance16243.5
MonotonicityStrictly increasing
2024-04-16T19:05:56.664324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
291 1
 
0.2%
302 1
 
0.2%
301 1
 
0.2%
300 1
 
0.2%
299 1
 
0.2%
298 1
 
0.2%
297 1
 
0.2%
296 1
 
0.2%
295 1
 
0.2%
Other values (431) 431
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 (%)
441 1
0.2%
440 1
0.2%
439 1
0.2%
438 1
0.2%
437 1
0.2%
436 1
0.2%
435 1
0.2%
434 1
0.2%
433 1
0.2%
432 1
0.2%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
사료제조업
441 

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 441
100.0%

Length

2024-04-16T19:05:56.784025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:05:56.872226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사료제조업 441
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
02_04_05_P
441 

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 441
100.0%

Length

2024-04-16T19:05:56.951493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:05:57.027674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02_04_05_p 441
100.0%

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
6260000
441 

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 441
100.0%

Length

2024-04-16T19:05:57.103947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:05:57.178868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6260000 441
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct441
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 size4.0 KiB
2024-04-16T19:05:57.266921image/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
Range460011
Interquartile range (IQR)89984

Descriptive statistics

Standard deviation71821.078
Coefficient of variation (CV)1.1473015 × 10-13
Kurtosis9.2508657
Mean6.2600005 × 1017
Median Absolute Deviation (MAD)40064
Skewness-2.4454044
Sum-6.3513896 × 1017
Variance5.1582672 × 109
MonotonicityNot monotonic
2024-04-16T19:05:57.380266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
626000050220130002 1
 
0.2%
626000050220140022 1
 
0.2%
626000050220150011 1
 
0.2%
626000050220150010 1
 
0.2%
626000050220150009 1
 
0.2%
626000050220150008 1
 
0.2%
626000050220150007 1
 
0.2%
626000050220150006 1
 
0.2%
626000050220150005 1
 
0.2%
626000050220150003 1
 
0.2%
Other values (431) 431
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 (%)
626000050220210012 1
0.2%
626000050220210011 1
0.2%
626000050220210010 1
0.2%
626000050220210009 1
0.2%
626000050220210008 1
0.2%
626000050220210007 1
0.2%
626000050220210006 1
0.2%
626000050220210005 1
0.2%
626000050220210004 1
0.2%
626000050220210003 1
0.2%

인허가일자
Real number (ℝ)

Distinct385
Distinct (%)87.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20134539
Minimum19750627
Maximum20210216
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-04-16T19:05:57.486408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19750627
5-th percentile20021212
Q120101101
median20150915
Q320190108
95-th percentile20201012
Maximum20210216
Range459589
Interquartile range (IQR)89007

Descriptive statistics

Standard deviation71947.172
Coefficient of variation (CV)0.003573321
Kurtosis9.1504507
Mean20134539
Median Absolute Deviation (MAD)39809
Skewness-2.4346737
Sum8.8793317 × 109
Variance5.1763955 × 109
MonotonicityNot monotonic
2024-04-16T19:05:57.601011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200123 4
 
0.9%
20180123 4
 
0.9%
20210208 3
 
0.7%
20180405 3
 
0.7%
20160725 3
 
0.7%
20200402 3
 
0.7%
20100514 2
 
0.5%
20200716 2
 
0.5%
20190627 2
 
0.5%
20200305 2
 
0.5%
Other values (375) 413
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 (%)
20210216 2
0.5%
20210215 1
 
0.2%
20210208 3
0.7%
20210127 1
 
0.2%
20210125 1
 
0.2%
20210119 1
 
0.2%
20210114 1
 
0.2%
20210112 1
 
0.2%
20210103 1
 
0.2%
20201217 1
 
0.2%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing441
Missing (%)100.0%
Memory size4.0 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
1
332 
3
103 
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 (%)
1 332
75.3%
3 103
 
23.4%
2 5
 
1.1%
4 1
 
0.2%

Length

2024-04-16T19:05:57.716233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:05:57.836649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 332
75.3%
3 103
 
23.4%
2 5
 
1.1%
4 1
 
0.2%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
영업/정상
332 
폐업
103 
휴업
 
5
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length4.2857143
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 332
75.3%
폐업 103
 
23.4%
휴업 5
 
1.1%
취소/말소/만료/정지/중지 1
 
0.2%

Length

2024-04-16T19:05:57.936436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:05:58.028018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 332
75.3%
폐업 103
 
23.4%
휴업 5
 
1.1%
취소/말소/만료/정지/중지 1
 
0.2%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
0
332 
2
103 
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 (%)
0 332
75.3%
2 103
 
23.4%
1 5
 
1.1%
4 1
 
0.2%

Length

2024-04-16T19:05:58.128045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:05:58.217362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 332
75.3%
2 103
 
23.4%
1 5
 
1.1%
4 1
 
0.2%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
정상
332 
폐업
103 
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 332
75.3%
폐업 103
 
23.4%
휴업 5
 
1.1%
말소 1
 
0.2%

Length

2024-04-16T19:05:58.310267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:05:58.396534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 332
75.3%
폐업 103
 
23.4%
휴업 5
 
1.1%
말소 1
 
0.2%

폐업일자
Real number (ℝ)

MISSING 

Distinct66
Distinct (%)63.5%
Missing337
Missing (%)76.4%
Infinite0
Infinite (%)0.0%
Mean20153958
Minimum20070129
Maximum20210129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-04-16T19:05:58.490681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070129
5-th percentile20090727
Q120141124
median20160616
Q320180118
95-th percentile20200299
Maximum20210129
Range140000
Interquartile range (IQR)38994.25

Descriptive statistics

Standard deviation30866.637
Coefficient of variation (CV)0.0015315422
Kurtosis0.058421887
Mean20153958
Median Absolute Deviation (MAD)19502
Skewness-0.62366314
Sum2.0960117 × 109
Variance9.5274925 × 108
MonotonicityNot monotonic
2024-04-16T19:05:58.605568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20141124 21
 
4.8%
20090727 4
 
0.9%
20140930 3
 
0.7%
20171114 3
 
0.7%
20180205 3
 
0.7%
20160616 3
 
0.7%
20150702 2
 
0.5%
20160725 2
 
0.5%
20160712 2
 
0.5%
20180131 2
 
0.5%
Other values (56) 59
 
13.4%
(Missing) 337
76.4%
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 (%)
20210129 1
0.2%
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%

휴업시작일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
436 
20130207
 
1
20121211
 
1
20190613
 
1
20170113
 
1

Length

Max length8
Median length4
Mean length4.0453515
Min length4

Unique

Unique5 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 436
98.9%
20130207 1
 
0.2%
20121211 1
 
0.2%
20190613 1
 
0.2%
20170113 1
 
0.2%
20141027 1
 
0.2%

Length

2024-04-16T19:05:58.717247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:05:58.817106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 436
98.9%
20130207 1
 
0.2%
20121211 1
 
0.2%
20190613 1
 
0.2%
20170113 1
 
0.2%
20141027 1
 
0.2%

휴업종료일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
436 
20140207
 
1
20131210
 
1
20200613
 
1
20170713
 
1

Length

Max length8
Median length4
Mean length4.0453515
Min length4

Unique

Unique5 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 436
98.9%
20140207 1
 
0.2%
20131210 1
 
0.2%
20200613 1
 
0.2%
20170713 1
 
0.2%
20151026 1
 
0.2%

Length

2024-04-16T19:05:58.943358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:05:59.276142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 436
98.9%
20140207 1
 
0.2%
20131210 1
 
0.2%
20200613 1
 
0.2%
20170713 1
 
0.2%
20151026 1
 
0.2%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing441
Missing (%)100.0%
Memory size4.0 KiB

소재지전화
Real number (ℝ)

MISSING 

Distinct179
Distinct (%)82.5%
Missing224
Missing (%)50.8%
Infinite0
Infinite (%)0.0%
Mean1.1405342 × 109
Minimum5.1 × 108
Maximum7.0883803 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-04-16T19:05:59.371178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.1 × 108
5-th percentile5.1246128 × 108
Q15.1410712 × 108
median5.1630816 × 108
Q35.1811174 × 108
95-th percentile7.0532307 × 109
Maximum7.0883803 × 109
Range6.5783803 × 109
Interquartile range (IQR)4004622

Descriptive statistics

Standard deviation1.9168998 × 109
Coefficient of variation (CV)1.6807034
Kurtosis5.7294019
Mean1.1405342 × 109
Median Absolute Deviation (MAD)2008449
Skewness2.7657202
Sum2.4749593 × 1011
Variance3.6745048 × 1018
MonotonicityNot monotonic
2024-04-16T19:05:59.493931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
516420105 5
 
1.1%
512668082 5
 
1.1%
517585355 4
 
0.9%
516101011 3
 
0.7%
515321435 3
 
0.7%
7041098200 3
 
0.7%
519773400 3
 
0.7%
7075383160 3
 
0.7%
519088404 3
 
0.7%
512914208 2
 
0.5%
Other values (169) 183
41.5%
(Missing) 224
50.8%
ValueCountFrequency (%)
510000000 1
0.2%
512045177 1
0.2%
512060364 1
0.2%
512062514 1
0.2%
512204452 1
0.2%
512208222 1
0.2%
512312725 1
0.2%
512410162 1
0.2%
512420011 1
0.2%
512443027 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 size3.6 KiB
<NA>
355 
0
86 

Length

Max length4
Median length4
Mean length3.414966
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 355
80.5%
0 86
 
19.5%

Length

2024-04-16T19:05:59.617841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:05:59.717454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 355
80.5%
0 86
 
19.5%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct61
Distinct (%)67.0%
Missing350
Missing (%)79.4%
Infinite0
Infinite (%)0.0%
Mean609007.18
Minimum600024
Maximum619961
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-04-16T19:05:59.815723image/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
2024-04-16T19:05:59.944416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
604842 5
 
1.1%
608743 4
 
0.9%
618270 4
 
0.9%
608822 4
 
0.9%
602803 4
 
0.9%
604846 3
 
0.7%
617736 3
 
0.7%
604836 3
 
0.7%
617809 2
 
0.5%
601836 2
 
0.5%
Other values (51) 57
 
12.9%
(Missing) 350
79.4%
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 

Distinct338
Distinct (%)86.7%
Missing51
Missing (%)11.6%
Memory size3.6 KiB
2024-04-16T19:06:00.208230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length45
Mean length29.466667
Min length8

Characters and Unicode

Total characters11492
Distinct characters296
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

Unique294 ?
Unique (%)75.4%

Sample

1st row부산광역시 남구 감만동 225번지 2호 현대아파트 상가 11동 103호
2nd row부산광역시 수영구 광안동 118번지 17호 지브로 202호
3rd row부산광역시 연제구 연산동 380번지 9호
4th row부산광역시 동래구 사직동 107번지 4호
5th row부산광역시 부산진구 전포동 681번지 3호
ValueCountFrequency (%)
부산광역시 388
 
16.8%
1호 60
 
2.6%
사하구 42
 
1.8%
해운대구 39
 
1.7%
남구 33
 
1.4%
0호 32
 
1.4%
강서구 32
 
1.4%
2호 31
 
1.3%
사상구 28
 
1.2%
3호 26
 
1.1%
Other values (713) 1599
69.2%
2024-04-16T19:06:00.579055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2285
19.9%
1 573
 
5.0%
호 516
 
4.5%
동 483
 
4.2%
산 456
 
4.0%
부 437
 
3.8%
지 416
 
3.6%
시 400
 
3.5%
광 400
 
3.5%
역 388
 
3.4%
Other values (286) 5138
44.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6795
59.1%
Decimal Number 2354
 
20.5%
Space Separator 2285
 
19.9%
Uppercase Letter 28
 
0.2%
Dash Punctuation 8
 
0.1%
Other Punctuation 7
 
0.1%
Close Punctuation 5
 
< 0.1%
Open Punctuation 5
 
< 0.1%
Lowercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
호 516
 
7.6%
동 483
 
7.1%
산 456
 
6.7%
부 437
 
6.4%
지 416
 
6.1%
시 400
 
5.9%
광 400
 
5.9%
역 388
 
5.7%
번 387
 
5.7%
구 375
 
5.5%
Other values (250) 2537
37.3%
Uppercase Letter
ValueCountFrequency (%)
B 9
32.1%
L 4
14.3%
G 3
 
10.7%
A 2
 
7.1%
C 2
 
7.1%
S 2
 
7.1%
D 1
 
3.6%
T 1
 
3.6%
O 1
 
3.6%
K 1
 
3.6%
Other values (2) 2
 
7.1%
Decimal Number
ValueCountFrequency (%)
1 573
24.3%
2 308
13.1%
0 282
12.0%
3 246
10.5%
4 225
 
9.6%
5 193
 
8.2%
7 158
 
6.7%
8 135
 
5.7%
6 128
 
5.4%
9 106
 
4.5%
Other Punctuation
ValueCountFrequency (%)
/ 2
28.6%
, 2
28.6%
; 1
14.3%
# 1
14.3%
& 1
14.3%
Lowercase Letter
ValueCountFrequency (%)
o 1
20.0%
e 1
20.0%
v 1
20.0%
i 1
20.0%
l 1
20.0%
Space Separator
ValueCountFrequency (%)
2285
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6795
59.1%
Common 4664
40.6%
Latin 33
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
호 516
 
7.6%
동 483
 
7.1%
산 456
 
6.7%
부 437
 
6.4%
지 416
 
6.1%
시 400
 
5.9%
광 400
 
5.9%
역 388
 
5.7%
번 387
 
5.7%
구 375
 
5.5%
Other values (250) 2537
37.3%
Common
ValueCountFrequency (%)
2285
49.0%
1 573
 
12.3%
2 308
 
6.6%
0 282
 
6.0%
3 246
 
5.3%
4 225
 
4.8%
5 193
 
4.1%
7 158
 
3.4%
8 135
 
2.9%
6 128
 
2.7%
Other values (9) 131
 
2.8%
Latin
ValueCountFrequency (%)
B 9
27.3%
L 4
12.1%
G 3
 
9.1%
A 2
 
6.1%
C 2
 
6.1%
S 2
 
6.1%
D 1
 
3.0%
T 1
 
3.0%
O 1
 
3.0%
K 1
 
3.0%
Other values (7) 7
21.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6795
59.1%
ASCII 4697
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2285
48.6%
1 573
 
12.2%
2 308
 
6.6%
0 282
 
6.0%
3 246
 
5.2%
4 225
 
4.8%
5 193
 
4.1%
7 158
 
3.4%
8 135
 
2.9%
6 128
 
2.7%
Other values (26) 164
 
3.5%
Hangul
ValueCountFrequency (%)
호 516
 
7.6%
동 483
 
7.1%
산 456
 
6.7%
부 437
 
6.4%
지 416
 
6.1%
시 400
 
5.9%
광 400
 
5.9%
역 388
 
5.7%
번 387
 
5.7%
구 375
 
5.5%
Other values (250) 2537
37.3%

도로명전체주소
Text

MISSING 

Distinct382
Distinct (%)87.8%
Missing6
Missing (%)1.4%
Memory size3.6 KiB
2024-04-16T19:06:00.889018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length46
Mean length32.48046
Min length18

Characters and Unicode

Total characters14129
Distinct characters338
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

Unique342 ?
Unique (%)78.6%

Sample

1st row부산광역시 남구 우암로2번길 5 (감만동,현대아파트 상가 11동 103호)
2nd row부산광역시 수영구 수영로618번길 8, 202호 (광안동, 지브로)
3rd row부산광역시 연제구 과정로265번길 15, 1층 (연산동)
4th row부산광역시 동래구 아시아드대로146번길 4 (사직동)
5th row부산광역시 부산진구 서전로46번길 32 (전포동)
ValueCountFrequency (%)
부산광역시 435
 
16.8%
해운대구 49
 
1.9%
사하구 48
 
1.9%
1층 47
 
1.8%
강서구 37
 
1.4%
남구 33
 
1.3%
기장군 31
 
1.2%
사상구 28
 
1.1%
금정구 27
 
1.0%
수영구 26
 
1.0%
Other values (898) 1821
70.5%
2024-04-16T19:06:01.394934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2147
 
15.2%
1 603
 
4.3%
동 570
 
4.0%
산 537
 
3.8%
부 482
 
3.4%
시 461
 
3.3%
광 458
 
3.2%
역 435
 
3.1%
구 420
 
3.0%
로 418
 
3.0%
Other values (328) 7598
53.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8223
58.2%
Decimal Number 2413
 
17.1%
Space Separator 2147
 
15.2%
Open Punctuation 413
 
2.9%
Close Punctuation 413
 
2.9%
Other Punctuation 370
 
2.6%
Dash Punctuation 111
 
0.8%
Uppercase Letter 34
 
0.2%
Lowercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 570
 
6.9%
산 537
 
6.5%
부 482
 
5.9%
시 461
 
5.6%
광 458
 
5.6%
역 435
 
5.3%
구 420
 
5.1%
로 418
 
5.1%
대 231
 
2.8%
호 185
 
2.2%
Other values (289) 4026
49.0%
Uppercase Letter
ValueCountFrequency (%)
B 8
23.5%
L 4
11.8%
A 4
11.8%
G 3
 
8.8%
C 3
 
8.8%
E 2
 
5.9%
P 2
 
5.9%
S 2
 
5.9%
U 1
 
2.9%
H 1
 
2.9%
Other values (4) 4
11.8%
Decimal Number
ValueCountFrequency (%)
1 603
25.0%
3 326
13.5%
2 319
13.2%
0 274
11.4%
4 199
 
8.2%
5 163
 
6.8%
6 156
 
6.5%
7 143
 
5.9%
8 128
 
5.3%
9 102
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 364
98.4%
/ 2
 
0.5%
. 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 (%)
2147
100.0%
Open Punctuation
ValueCountFrequency (%)
( 413
100.0%
Close Punctuation
ValueCountFrequency (%)
) 413
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 111
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8223
58.2%
Common 5867
41.5%
Latin 39
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 570
 
6.9%
산 537
 
6.5%
부 482
 
5.9%
시 461
 
5.6%
광 458
 
5.6%
역 435
 
5.3%
구 420
 
5.1%
로 418
 
5.1%
대 231
 
2.8%
호 185
 
2.2%
Other values (289) 4026
49.0%
Common
ValueCountFrequency (%)
2147
36.6%
1 603
 
10.3%
( 413
 
7.0%
) 413
 
7.0%
, 364
 
6.2%
3 326
 
5.6%
2 319
 
5.4%
0 274
 
4.7%
4 199
 
3.4%
5 163
 
2.8%
Other values (10) 646
 
11.0%
Latin
ValueCountFrequency (%)
B 8
20.5%
L 4
10.3%
A 4
10.3%
G 3
 
7.7%
C 3
 
7.7%
E 2
 
5.1%
P 2
 
5.1%
S 2
 
5.1%
e 1
 
2.6%
v 1
 
2.6%
Other values (9) 9
23.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8223
58.2%
ASCII 5906
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2147
36.4%
1 603
 
10.2%
( 413
 
7.0%
) 413
 
7.0%
, 364
 
6.2%
3 326
 
5.5%
2 319
 
5.4%
0 274
 
4.6%
4 199
 
3.4%
5 163
 
2.8%
Other values (29) 685
 
11.6%
Hangul
ValueCountFrequency (%)
동 570
 
6.9%
산 537
 
6.5%
부 482
 
5.9%
시 461
 
5.6%
광 458
 
5.6%
역 435
 
5.3%
구 420
 
5.1%
로 418
 
5.1%
대 231
 
2.8%
호 185
 
2.2%
Other values (289) 4026
49.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct183
Distinct (%)71.8%
Missing186
Missing (%)42.2%
Infinite0
Infinite (%)0.0%
Mean47923.012
Minimum46006
Maximum49510
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-04-16T19:06:01.523190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46006
5-th percentile46050.5
Q146978
median48093
Q348937
95-th percentile49478.3
Maximum49510
Range3504
Interquartile range (IQR)1959

Descriptive statistics

Standard deviation1105.8506
Coefficient of variation (CV)0.023075565
Kurtosis-1.1853967
Mean47923.012
Median Absolute Deviation (MAD)982
Skewness-0.19140028
Sum12220368
Variance1222905.5
MonotonicityNot monotonic
2024-04-16T19:06:01.649728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
49479 6
 
1.4%
49273 5
 
1.1%
48418 4
 
0.9%
49429 4
 
0.9%
46332 3
 
0.7%
47710 3
 
0.7%
48937 3
 
0.7%
46218 3
 
0.7%
48104 3
 
0.7%
47249 3
 
0.7%
Other values (173) 218
49.4%
(Missing) 186
42.2%
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

Distinct367
Distinct (%)83.2%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2024-04-16T19:06:01.879334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length6.8231293
Min length2

Characters and Unicode

Total characters3009
Distinct characters383
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

Unique315 ?
Unique (%)71.4%

Sample

1st row건강아
2nd row펫요밥
3rd row허니멍
4th row프란다스펫푸드
5th row베뭉스낵
ValueCountFrequency (%)
주식회사 19
 
3.6%
리프패럿 6
 
1.1%
이화유지공업(주 5
 
1.0%
한성종합상사 4
 
0.8%
제이에스팜 4
 
0.8%
오엠씨코리아(주 4
 
0.8%
바우와우코리아 4
 
0.8%
퍼플 4
 
0.8%
주)농협사료 3
 
0.6%
pet 3
 
0.6%
Other values (408) 470
89.4%
2024-04-16T19:06:02.288826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 188
 
6.2%
) 186
 
6.2%
( 186
 
6.2%
이 108
 
3.6%
87
 
2.9%
스 69
 
2.3%
리 54
 
1.8%
사 49
 
1.6%
산 46
 
1.5%
아 43
 
1.4%
Other values (373) 1993
66.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2358
78.4%
Close Punctuation 186
 
6.2%
Open Punctuation 186
 
6.2%
Uppercase Letter 95
 
3.2%
Space Separator 87
 
2.9%
Lowercase Letter 86
 
2.9%
Other Punctuation 9
 
0.3%
Decimal Number 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 188
 
8.0%
이 108
 
4.6%
스 69
 
2.9%
리 54
 
2.3%
사 49
 
2.1%
산 46
 
2.0%
아 43
 
1.8%
에 41
 
1.7%
코 39
 
1.7%
펫 35
 
1.5%
Other values (325) 1686
71.5%
Lowercase Letter
ValueCountFrequency (%)
o 12
14.0%
e 10
11.6%
i 8
 
9.3%
a 8
 
9.3%
t 7
 
8.1%
p 5
 
5.8%
r 5
 
5.8%
s 4
 
4.7%
k 4
 
4.7%
c 3
 
3.5%
Other values (10) 20
23.3%
Uppercase Letter
ValueCountFrequency (%)
A 9
 
9.5%
M 8
 
8.4%
S 7
 
7.4%
E 6
 
6.3%
O 6
 
6.3%
R 6
 
6.3%
L 6
 
6.3%
T 6
 
6.3%
B 6
 
6.3%
J 5
 
5.3%
Other values (10) 30
31.6%
Other Punctuation
ValueCountFrequency (%)
. 7
77.8%
& 1
 
11.1%
' 1
 
11.1%
Close Punctuation
ValueCountFrequency (%)
) 186
100.0%
Open Punctuation
ValueCountFrequency (%)
( 186
100.0%
Space Separator
ValueCountFrequency (%)
87
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2358
78.4%
Common 470
 
15.6%
Latin 181
 
6.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 188
 
8.0%
이 108
 
4.6%
스 69
 
2.9%
리 54
 
2.3%
사 49
 
2.1%
산 46
 
2.0%
아 43
 
1.8%
에 41
 
1.7%
코 39
 
1.7%
펫 35
 
1.5%
Other values (325) 1686
71.5%
Latin
ValueCountFrequency (%)
o 12
 
6.6%
e 10
 
5.5%
A 9
 
5.0%
i 8
 
4.4%
a 8
 
4.4%
M 8
 
4.4%
t 7
 
3.9%
S 7
 
3.9%
E 6
 
3.3%
O 6
 
3.3%
Other values (30) 100
55.2%
Common
ValueCountFrequency (%)
) 186
39.6%
( 186
39.6%
87
18.5%
. 7
 
1.5%
& 1
 
0.2%
' 1
 
0.2%
3 1
 
0.2%
- 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2358
78.4%
ASCII 651
 
21.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 188
 
8.0%
이 108
 
4.6%
스 69
 
2.9%
리 54
 
2.3%
사 49
 
2.1%
산 46
 
2.0%
아 43
 
1.8%
에 41
 
1.7%
코 39
 
1.7%
펫 35
 
1.5%
Other values (325) 1686
71.5%
ASCII
ValueCountFrequency (%)
) 186
28.6%
( 186
28.6%
87
13.4%
o 12
 
1.8%
e 10
 
1.5%
A 9
 
1.4%
i 8
 
1.2%
a 8
 
1.2%
M 8
 
1.2%
t 7
 
1.1%
Other values (38) 130
20.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct441
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0172234 × 1013
Minimum2.0070131 × 1013
Maximum2.0210224 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-04-16T19:06:02.428735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0070131 × 1013
5-th percentile2.014093 × 1013
Q12.0150702 × 1013
median2.0171114 × 1013
Q32.0200211 × 1013
95-th percentile2.0201216 × 1013
Maximum2.0210224 × 1013
Range1.4009298 × 1011
Interquartile range (IQR)4.950901 × 1010

Descriptive statistics

Standard deviation2.6106274 × 1010
Coefficient of variation (CV)0.0012941688
Kurtosis0.42563009
Mean2.0172234 × 1013
Median Absolute Deviation (MAD)2.0412008 × 1010
Skewness-0.64681386
Sum8.895955 × 1015
Variance6.8153756 × 1020
MonotonicityNot monotonic
2024-04-16T19:06:02.558608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180627090039 1
 
0.2%
20150615104202 1
 
0.2%
20160927113900 1
 
0.2%
20150615104032 1
 
0.2%
20150615103214 1
 
0.2%
20161118143404 1
 
0.2%
20150615103029 1
 
0.2%
20150702161626 1
 
0.2%
20150702161336 1
 
0.2%
20150615111053 1
 
0.2%
Other values (431) 431
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 (%)
20210224094528 1
0.2%
20210224094447 1
0.2%
20210216172829 1
0.2%
20210216172304 1
0.2%
20210215155957 1
0.2%
20210209103614 1
0.2%
20210208100649 1
0.2%
20210208100421 1
0.2%
20210204154819 1
0.2%
20210201125321 1
0.2%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
I
363 
U
78 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 363
82.3%
U 78
 
17.7%

Length

2024-04-16T19:06:02.678200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:06:02.774156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 363
82.3%
u 78
 
17.7%

데이터갱신일자
Date

Distinct145
Distinct (%)32.9%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
Minimum2018-09-27 23:59:59
Maximum2021-02-26 02:40:00
2024-04-16T19:06:02.861893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T19:06:02.988314image/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 size3.6 KiB
사료제조업(수입)
197 
사료제조업(단미)
176 
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) 197
44.7%
사료제조업(단미) 176
39.9%
사료제조업(배합) 41
 
9.3%
사료제조업(보조) 27
 
6.1%

Length

2024-04-16T19:06:03.110376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:06:03.199939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사료제조업(수입 197
44.7%
사료제조업(단미 176
39.9%
사료제조업(배합 41
 
9.3%
사료제조업(보조 27
 
6.1%

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct322
Distinct (%)77.4%
Missing25
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean387311.49
Minimum367517.2
Maximum403995.27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-04-16T19:06:03.297054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum367517.2
5-th percentile377391.2
Q1382483.42
median387872.32
Q3392340.69
95-th percentile398890.25
Maximum403995.27
Range36478.068
Interquartile range (IQR)9857.2759

Descriptive statistics

Standard deviation7214.9258
Coefficient of variation (CV)0.018628226
Kurtosis-0.18146553
Mean387311.49
Median Absolute Deviation (MAD)4664.8305
Skewness-0.1286366
Sum1.6112158 × 108
Variance52055154
MonotonicityNot monotonic
2024-04-16T19:06:03.415308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
391411.212179843 6
 
1.4%
383518.040204105 5
 
1.1%
379028.496159721 5
 
1.1%
392500.0 4
 
0.9%
389016.244891058 4
 
0.9%
390025.840359689 4
 
0.9%
388298.58931572 4
 
0.9%
396180.621244719 3
 
0.7%
389923.331756599 3
 
0.7%
385790.053744181 3
 
0.7%
Other values (312) 375
85.0%
(Missing) 25
 
5.7%
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 

Distinct322
Distinct (%)77.4%
Missing25
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean185979.8
Minimum174714.26
Maximum206277
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-04-16T19:06:03.541812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174714.26
5-th percentile176946.81
Q1180304.51
median185804.66
Q3189595.84
95-th percentile199237.92
Maximum206277
Range31562.74
Interquartile range (IQR)9291.3266

Descriptive statistics

Standard deviation6897.2482
Coefficient of variation (CV)0.037086008
Kurtosis0.37402552
Mean185979.8
Median Absolute Deviation (MAD)4836.9852
Skewness0.72256974
Sum77367596
Variance47572033
MonotonicityNot monotonic
2024-04-16T19:06:03.657698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
184052.409245407 6
 
1.4%
175580.741380931 5
 
1.1%
178626.290764131 5
 
1.1%
193111.0 4
 
0.9%
184582.515325585 4
 
0.9%
199541.723268072 4
 
0.9%
183380.156210672 4
 
0.9%
186522.35047527 3
 
0.7%
194574.979567074 3
 
0.7%
179002.388888298 3
 
0.7%
Other values (312) 375
85.0%
(Missing) 25
 
5.7%
ValueCountFrequency (%)
174714.259517295 1
 
0.2%
175140.099221406 2
 
0.5%
175495.143558328 1
 
0.2%
175508.0 1
 
0.2%
175520.650585192 1
 
0.2%
175580.741380931 5
1.1%
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 size3.6 KiB
사료제조업
441 

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 441
100.0%

Length

2024-04-16T19:06:03.783448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:06:03.870806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사료제조업 441
100.0%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing441
Missing (%)100.0%
Memory size4.0 KiB

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing441
Missing (%)100.0%
Memory size4.0 KiB

권리주체일련번호
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
000
385 
L00
55 
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 (%)
000 385
87.3%
L00 55
 
12.5%
O00 1
 
0.2%

Length

2024-04-16T19:06:03.955740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:06:04.040776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 385
87.3%
l00 55
 
12.5%
o00 1
 
0.2%

총종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing441
Missing (%)100.0%
Memory size4.0 KiB

Unnamed: 33
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing441
Missing (%)100.0%
Memory size4.0 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_P626000062600005022018002920181227<NA>3폐업2폐업20190521<NA><NA><NA><NA><NA><NA>부산광역시 수영구 광안동 118번지 17호 지브로 202호부산광역시 수영구 수영로618번길 8, 202호 (광안동, 지브로)48293펫요밥20190522135100U2019-05-24 02:40:00.0사료제조업(단미)392572.125802186653.77498사료제조업<NA><NA>000<NA><NA>
23사료제조업02_04_05_P626000062600005022018001720180828<NA>3폐업2폐업20181129<NA><NA><NA><NA><NA><NA>부산광역시 연제구 연산동 380번지 9호부산광역시 연제구 과정로265번길 15, 1층 (연산동)<NA>허니멍20181129094226I2018-12-01 02:20:16.0사료제조업(단미)391088.943982189591.882027사료제조업<NA><NA>000<NA><NA>
34사료제조업02_04_05_P626000062600005022016001520160509<NA>3폐업2폐업20180131<NA><NA><NA>515072677<NA><NA>부산광역시 동래구 사직동 107번지 4호부산광역시 동래구 아시아드대로146번길 4 (사직동)<NA>프란다스펫푸드20180131173231I2019-03-23 02:20:03.0사료제조업(단미)388085.843942190641.641848사료제조업<NA><NA>000<NA><NA>
45사료제조업02_04_05_P626000062600005022016003020160803<NA>3폐업2폐업20170613<NA><NA><NA><NA><NA><NA>부산광역시 부산진구 전포동 681번지 3호부산광역시 부산진구 서전로46번길 32 (전포동)47293베뭉스낵20170614151044I2019-03-23 02:20:03.0사료제조업(단미)388066.584371186079.005286사료제조업<NA><NA>000<NA><NA>
56사료제조업02_04_05_P626000062600005022016003120160811<NA>3폐업2폐업20200225<NA><NA><NA>517615530<NA><NA>부산광역시 사상구 학장동 238번지 3호부산광역시 사상구 대동로 189 (학장동)47024(주)태창20200226075608U2020-02-28 02:40:00.0사료제조업(보조)380736.868839184621.999사료제조업<NA><NA>000<NA><NA>
67사료제조업02_04_05_P626000062600005022016003920161214<NA>3폐업2폐업20200325<NA><NA><NA><NA><NA><NA>부산광역시 동구 초량동 1164번지 4호 103호부산광역시 동구 중앙대로274번길 3-7, 103호 (초량동)<NA>포독포독20200328093931U2020-03-31 02:40:00.0사료제조업(단미)386236.028884182186.47293사료제조업<NA><NA>000<NA><NA>
78사료제조업02_04_05_P626000062600005022016004020161216<NA>3폐업2폐업20180118<NA><NA><NA><NA><NA><NA>부산광역시 서구 암남동 720번지 13호부산광역시 서구 원양로 96 (암남동)49276한성종합상사20180123092111I2019-03-23 02:20:03.0사료제조업(단미)383516.402151175495.143558사료제조업<NA><NA>000<NA><NA>
89사료제조업02_04_05_P626000062600005022004000120040528<NA>3폐업2폐업20080610<NA><NA><NA>518021793<NA>604842부산광역시 사하구 장림동 945번지부산광역시 사하구 보덕포1길 55 (장림동)49485(주)렌더링 테크20090110110143I2019-03-23 02:20:03.0사료제조업(단미)378715.961446176668.717473사료제조업<NA><NA>L00<NA><NA>
910사료제조업02_04_05_P626000062600005022004000220040820<NA>3폐업2폐업20141124<NA><NA><NA>516213671<NA>613818부산광역시 수영구 남천동 148번지 17호부산광역시 수영구 남천동로 97 (남천동)48306제원교역20141124150938I2019-03-23 02:20:03.0사료제조업(수입)392403.826082184864.172073사료제조업<NA><NA>000<NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총종업원수Unnamed: 33
431432사료제조업02_04_05_P626000062600005022020005820201217<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>부산광역시 기장군 정관읍 모전리 687번지 13호 102호부산광역시 기장군 정관읍 모전3길 34, 102호46008산책20201217163625I2020-12-19 00:23:16.0사료제조업(단미)397193.0206277.0사료제조업<NA><NA>000<NA><NA>
432433사료제조업02_04_05_P626000062600005022021000620210127<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>부산광역시 연제구 연산동 1811번지 182호부산광역시 연제구 금련로6번길 19, 1층 (연산동)47614잇플레이러브(Eat Play Love)20210127180741I2021-01-29 00:23:13.0사료제조업(단미)390773.539384187999.734939사료제조업<NA><NA>000<NA><NA>
433434사료제조업02_04_05_P626000062600005022021000220210112<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>부산광역시 남구 대연동 899번지 3호부산광역시 남구 천제등로46번길 4, 1층 (대연동)48460땡큐버디20210112170614I2021-01-14 00:23:05.0사료제조업(단미)390371.266029183452.378939사료제조업<NA><NA>000<NA><NA>
434435사료제조업02_04_05_P626000062600005022020005620201124<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>부산광역시 부산진구 연지동 33번지 11호부산광역시 부산진구 성지로34번길 18, 1층 (연지동)47123호두네 수제간식20201124134045I2020-11-26 00:23:07.0사료제조업(단미)387222.982833187988.758162사료제조업<NA><NA>000<NA><NA>
435436사료제조업02_04_05_P626000062600005022020005720201125<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 우동 760번지 3호 오션타워 1616호부산광역시 해운대구 해운대해변로 203, 오션타워 1616호 (우동)<NA>유지해외컨설팅20201125142130I2020-11-27 00:23:08.0사료제조업(수입)396180.621245186522.350475사료제조업<NA><NA>000<NA><NA>
436437사료제조업02_04_05_P626000062600005022021000320210114<NA>1영업/정상0정상<NA><NA><NA><NA>512208222<NA><NA>부산광역시 서구 암남동 761번지 0호 국제수산물도매시장 도매장동 47호부산광역시 서구 원양로 35, 국제수산물도매시장 도매장동 3층 47호 (암남동)49277주식회사 이앤케이20210114160636I2021-01-16 00:23:15.0사료제조업(수입)383370.080547175140.099221사료제조업<NA><NA>L00<NA><NA>
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439440사료제조업02_04_05_P626000062600005022021000420210119<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>부산광역시 동래구 안락동 446번지 55호부산광역시 동래구 명안로25번길 36, 1층 (안락동)47789BnL20210119112922I2021-01-21 00:23:03.0사료제조업(단미)391420.732239190926.82824사료제조업<NA><NA>000<NA><NA>
440441사료제조업02_04_05_P626000062600005022021000520210125<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>부산광역시 북구 화명동 2264번지 0호 롯데아파트낙천대 107동 1702호부산광역시 북구 화명신도시로 156, 107동 1702호 (화명동, 롯데아파트낙천대)<NA>이노크레이트20210125145433I2021-01-27 00:23:03.0사료제조업(수입)383129.477168195005.150318사료제조업<NA><NA>000<NA><NA>