Overview

Dataset statistics

Number of variables34
Number of observations459
Missing cells4021
Missing cells (%)25.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory131.9 KiB
Average record size in memory294.3 B

Variable types

Numeric10
Categorical14
Unsupported6
Text3
DateTime1

Dataset

Description2021-06-01
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 (56.0%)Imbalance
영업상태명 is highly imbalanced (56.0%)Imbalance
상세영업상태코드 is highly imbalanced (56.0%)Imbalance
상세영업상태명 is highly imbalanced (56.0%)Imbalance
휴업시작일자 is highly imbalanced (95.7%)Imbalance
휴업종료일자 is highly imbalanced (95.7%)Imbalance
권리주체일련번호 is highly imbalanced (64.5%)Imbalance
인허가취소일자 has 459 (100.0%) missing valuesMissing
폐업일자 has 353 (76.9%) missing valuesMissing
재개업일자 has 459 (100.0%) missing valuesMissing
소재지전화 has 238 (51.9%) missing valuesMissing
소재지우편번호 has 369 (80.4%) missing valuesMissing
소재지전체주소 has 51 (11.1%) missing valuesMissing
도로명전체주소 has 6 (1.3%) missing valuesMissing
도로명우편번호 has 194 (42.3%) missing valuesMissing
좌표정보(x) has 28 (6.1%) missing valuesMissing
좌표정보(y) has 28 (6.1%) missing valuesMissing
축산물가공업구분명 has 459 (100.0%) missing valuesMissing
축산일련번호 has 459 (100.0%) missing valuesMissing
총종업원수 has 459 (100.0%) missing valuesMissing
Unnamed: 33 has 459 (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 10:05:36.355785
Analysis finished2024-04-16 10:05:36.975779
Duration0.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct459
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean230
Minimum1
Maximum459
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2024-04-16T19:05:37.038824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile23.9
Q1115.5
median230
Q3344.5
95-th percentile436.1
Maximum459
Range458
Interquartile range (IQR)229

Descriptive statistics

Standard deviation132.64615
Coefficient of variation (CV)0.57672237
Kurtosis-1.2
Mean230
Median Absolute Deviation (MAD)115
Skewness0
Sum105570
Variance17595
MonotonicityStrictly increasing
2024-04-16T19:05:37.151040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
317 1
 
0.2%
315 1
 
0.2%
314 1
 
0.2%
313 1
 
0.2%
312 1
 
0.2%
311 1
 
0.2%
310 1
 
0.2%
309 1
 
0.2%
308 1
 
0.2%
Other values (449) 449
97.8%
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 (%)
459 1
0.2%
458 1
0.2%
457 1
0.2%
456 1
0.2%
455 1
0.2%
454 1
0.2%
453 1
0.2%
452 1
0.2%
451 1
0.2%
450 1
0.2%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
사료제조업
459 

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 459
100.0%

Length

2024-04-16T19:05:37.253816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:05:37.323898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사료제조업 459
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
02_04_05_P
459 

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 459
100.0%

Length

2024-04-16T19:05:37.409349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:05:37.498792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02_04_05_p 459
100.0%

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
6260000
459 

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 459
100.0%

Length

2024-04-16T19:05:37.572264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:05:37.640087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6260000 459
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct459
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 size4.2 KiB
2024-04-16T19:05:37.726080image/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
Range460029
Interquartile range (IQR)80000

Descriptive statistics

Standard deviation71927.793
Coefficient of variation (CV)1.1490062 × 10-13
Kurtosis9.1317234
Mean6.2600005 × 1017
Median Absolute Deviation (MAD)39936
Skewness-2.4152162
Sum-7.8138821 × 1018
Variance5.1736074 × 109
MonotonicityNot monotonic
2024-04-16T19:05:37.871927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
626000050220130002 1
 
0.2%
626000050220160006 1
 
0.2%
626000050220160004 1
 
0.2%
626000050220160003 1
 
0.2%
626000050220150026 1
 
0.2%
626000050220150025 1
 
0.2%
626000050220150023 1
 
0.2%
626000050220150022 1
 
0.2%
626000050220150021 1
 
0.2%
626000050220150020 1
 
0.2%
Other values (449) 449
97.8%
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 (%)
626000050220210030 1
0.2%
626000050220210029 1
0.2%
626000050220210028 1
0.2%
626000050220210027 1
0.2%
626000050220210026 1
0.2%
626000050220210025 1
0.2%
626000050220210024 1
0.2%
626000050220210023 1
0.2%
626000050220210022 1
0.2%
626000050220210021 1
0.2%

인허가일자
Real number (ℝ)

Distinct397
Distinct (%)86.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20137513
Minimum19750627
Maximum20210429
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2024-04-16T19:05:37.983507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19750627
5-th percentile20029507
Q120110369
median20160308
Q320190518
95-th percentile20210208
Maximum20210429
Range459802
Interquartile range (IQR)80149

Descriptive statistics

Standard deviation72042.546
Coefficient of variation (CV)0.0035775295
Kurtosis9.0444967
Mean20137513
Median Absolute Deviation (MAD)39815
Skewness-2.4077059
Sum9.2431185 × 109
Variance5.1901284 × 109
MonotonicityNot monotonic
2024-04-16T19:05:38.113311image/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%
20210311 3
 
0.7%
20210208 3
 
0.7%
20210429 3
 
0.7%
20180405 3
 
0.7%
20160725 3
 
0.7%
19750627 2
 
0.4%
20201027 2
 
0.4%
Other values (387) 429
93.5%
ValueCountFrequency (%)
19750627 2
0.4%
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 (%)
20210429 3
0.7%
20210427 1
 
0.2%
20210423 1
 
0.2%
20210419 1
 
0.2%
20210416 1
 
0.2%
20210414 2
0.4%
20210412 1
 
0.2%
20210405 1
 
0.2%
20210322 1
 
0.2%
20210311 3
0.7%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing459
Missing (%)100.0%
Memory size4.2 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
1
348 
3
105 
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 (%)
1 348
75.8%
3 105
 
22.9%
2 5
 
1.1%
4 1
 
0.2%

Length

2024-04-16T19:05:38.253554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:05:38.360043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 348
75.8%
3 105
 
22.9%
2 5
 
1.1%
4 1
 
0.2%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
영업/정상
348 
폐업
105 
휴업
 
5
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length4.3006536
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 348
75.8%
폐업 105
 
22.9%
휴업 5
 
1.1%
취소/말소/만료/정지/중지 1
 
0.2%

Length

2024-04-16T19:05:38.461201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:05:38.553316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 348
75.8%
폐업 105
 
22.9%
휴업 5
 
1.1%
취소/말소/만료/정지/중지 1
 
0.2%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
0
348 
2
105 
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 (%)
0 348
75.8%
2 105
 
22.9%
1 5
 
1.1%
4 1
 
0.2%

Length

2024-04-16T19:05:38.656000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:05:38.736636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 348
75.8%
2 105
 
22.9%
1 5
 
1.1%
4 1
 
0.2%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
정상
348 
폐업
105 
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 348
75.8%
폐업 105
 
22.9%
휴업 5
 
1.1%
말소 1
 
0.2%

Length

2024-04-16T19:05:38.828032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:05:38.911909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 348
75.8%
폐업 105
 
22.9%
휴업 5
 
1.1%
말소 1
 
0.2%

폐업일자
Real number (ℝ)

MISSING 

Distinct68
Distinct (%)64.2%
Missing353
Missing (%)76.9%
Infinite0
Infinite (%)0.0%
Mean20155023
Minimum20070129
Maximum20210414
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2024-04-16T19:05:39.016426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070129
5-th percentile20090727
Q120141124
median20160616
Q320180126
95-th percentile20200612
Maximum20210414
Range140285
Interquartile range (IQR)39002.5

Descriptive statistics

Standard deviation31528.99
Coefficient of variation (CV)0.0015643242
Kurtosis0.02449572
Mean20155023
Median Absolute Deviation (MAD)19502.5
Skewness-0.56587695
Sum2.1364324 × 109
Variance9.9407722 × 108
MonotonicityNot monotonic
2024-04-16T19:05:39.145086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20141124 21
 
4.6%
20090727 4
 
0.9%
20171114 3
 
0.7%
20160616 3
 
0.7%
20180205 3
 
0.7%
20140930 3
 
0.7%
20180118 2
 
0.4%
20080610 2
 
0.4%
20160712 2
 
0.4%
20160725 2
 
0.4%
Other values (58) 61
 
13.3%
(Missing) 353
76.9%
ValueCountFrequency (%)
20070129 1
 
0.2%
20080610 2
0.4%
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 (%)
20210414 1
0.2%
20210330 1
0.2%
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%

휴업시작일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
<NA>
454 
20130207
 
1
20121211
 
1
20190613
 
1
20170113
 
1

Length

Max length8
Median length4
Mean length4.043573
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> 454
98.9%
20130207 1
 
0.2%
20121211 1
 
0.2%
20190613 1
 
0.2%
20170113 1
 
0.2%
20141027 1
 
0.2%

Length

2024-04-16T19:05:39.480465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:05:39.567811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 454
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 (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
<NA>
454 
20140207
 
1
20131210
 
1
20200613
 
1
20170713
 
1

Length

Max length8
Median length4
Mean length4.043573
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> 454
98.9%
20140207 1
 
0.2%
20131210 1
 
0.2%
20200613 1
 
0.2%
20170713 1
 
0.2%
20151026 1
 
0.2%

Length

2024-04-16T19:05:39.663555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:05:39.752753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 454
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 

Missing459
Missing (%)100.0%
Memory size4.2 KiB

소재지전화
Real number (ℝ)

MISSING 

Distinct182
Distinct (%)82.4%
Missing238
Missing (%)51.9%
Infinite0
Infinite (%)0.0%
Mean1.1292459 × 109
Minimum5.1 × 108
Maximum7.0883803 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2024-04-16T19:05:39.849709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.1 × 108
5-th percentile5.1246216 × 108
Q15.1410712 × 108
median5.1634824 × 108
Q35.1811174 × 108
95-th percentile7.0489885 × 109
Maximum7.0883803 × 109
Range6.5783803 × 109
Interquartile range (IQR)4004622

Descriptive statistics

Standard deviation1.9012207 × 109
Coefficient of variation (CV)1.6836198
Kurtosis5.9215418
Mean1.1292459 × 109
Median Absolute Deviation (MAD)1968367
Skewness2.8000303
Sum2.4956333 × 1011
Variance3.6146401 × 1018
MonotonicityNot monotonic
2024-04-16T19:05:39.974742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
512668082 5
 
1.1%
516420105 5
 
1.1%
517585355 4
 
0.9%
519773400 3
 
0.7%
515321435 3
 
0.7%
7075383160 3
 
0.7%
519088404 3
 
0.7%
516101011 3
 
0.7%
7041098200 3
 
0.7%
514680027 2
 
0.4%
Other values (172) 187
40.7%
(Missing) 238
51.9%
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 (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
<NA>
369 
0
90 

Length

Max length4
Median length4
Mean length3.4117647
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> 369
80.4%
0 90
 
19.6%

Length

2024-04-16T19:05:40.096542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:05:40.213405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 369
80.4%
0 90
 
19.6%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct60
Distinct (%)66.7%
Missing369
Missing (%)80.4%
Infinite0
Infinite (%)0.0%
Mean609009.37
Minimum600024
Maximum619961
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2024-04-16T19:05:40.311547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600024
5-th percentile601220.65
Q1604836
median607827
Q3613828.5
95-th percentile618270
Maximum619961
Range19937
Interquartile range (IQR)8992.5

Descriptive statistics

Standard deviation5908.3137
Coefficient of variation (CV)0.0097015154
Kurtosis-1.1319242
Mean609009.37
Median Absolute Deviation (MAD)4964.5
Skewness0.41490294
Sum54810843
Variance34908171
MonotonicityNot monotonic
2024-04-16T19:05:40.464413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
604842 5
 
1.1%
618270 4
 
0.9%
608743 4
 
0.9%
602803 4
 
0.9%
608822 4
 
0.9%
604836 3
 
0.7%
617736 3
 
0.7%
604846 3
 
0.7%
606011 2
 
0.4%
607803 2
 
0.4%
Other values (50) 56
 
12.2%
(Missing) 369
80.4%
ValueCountFrequency (%)
600024 1
 
0.2%
600814 1
 
0.2%
600816 2
0.4%
600817 1
 
0.2%
601714 1
 
0.2%
601836 2
0.4%
601838 1
 
0.2%
601839 2
0.4%
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
0.4%
617805 1
 
0.2%
617802 1
 
0.2%
617736 3
0.7%

소재지전체주소
Text

MISSING 

Distinct354
Distinct (%)86.8%
Missing51
Missing (%)11.1%
Memory size3.7 KiB
2024-04-16T19:05:40.748155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length46
Mean length29.370098
Min length8

Characters and Unicode

Total characters11983
Distinct characters301
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

Unique308 ?
Unique (%)75.5%

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 406
 
16.8%
1호 65
 
2.7%
사하구 43
 
1.8%
해운대구 39
 
1.6%
2호 35
 
1.5%
남구 35
 
1.5%
0호 34
 
1.4%
강서구 34
 
1.4%
사상구 29
 
1.2%
수영구 29
 
1.2%
Other values (736) 1661
68.9%
2024-04-16T19:05:41.138493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2384
19.9%
1 591
 
4.9%
호 537
 
4.5%
동 504
 
4.2%
산 477
 
4.0%
부 460
 
3.8%
지 437
 
3.6%
광 422
 
3.5%
시 420
 
3.5%
역 406
 
3.4%
Other values (291) 5345
44.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7096
59.2%
Decimal Number 2445
 
20.4%
Space Separator 2384
 
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 537
 
7.6%
동 504
 
7.1%
산 477
 
6.7%
부 460
 
6.5%
지 437
 
6.2%
광 422
 
5.9%
시 420
 
5.9%
역 406
 
5.7%
번 405
 
5.7%
구 393
 
5.5%
Other values (255) 2635
37.1%
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%
U 1
 
3.6%
Other values (2) 2
 
7.1%
Decimal Number
ValueCountFrequency (%)
1 591
24.2%
2 327
13.4%
0 290
11.9%
3 259
10.6%
4 228
 
9.3%
5 196
 
8.0%
7 165
 
6.7%
8 140
 
5.7%
6 137
 
5.6%
9 112
 
4.6%
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 (%)
2384
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 7096
59.2%
Common 4854
40.5%
Latin 33
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
호 537
 
7.6%
동 504
 
7.1%
산 477
 
6.7%
부 460
 
6.5%
지 437
 
6.2%
광 422
 
5.9%
시 420
 
5.9%
역 406
 
5.7%
번 405
 
5.7%
구 393
 
5.5%
Other values (255) 2635
37.1%
Common
ValueCountFrequency (%)
2384
49.1%
1 591
 
12.2%
2 327
 
6.7%
0 290
 
6.0%
3 259
 
5.3%
4 228
 
4.7%
5 196
 
4.0%
7 165
 
3.4%
8 140
 
2.9%
6 137
 
2.8%
Other values (9) 137
 
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%
e 1
 
3.0%
Other values (7) 7
21.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7096
59.2%
ASCII 4887
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2384
48.8%
1 591
 
12.1%
2 327
 
6.7%
0 290
 
5.9%
3 259
 
5.3%
4 228
 
4.7%
5 196
 
4.0%
7 165
 
3.4%
8 140
 
2.9%
6 137
 
2.8%
Other values (26) 170
 
3.5%
Hangul
ValueCountFrequency (%)
호 537
 
7.6%
동 504
 
7.1%
산 477
 
6.7%
부 460
 
6.5%
지 437
 
6.2%
광 422
 
5.9%
시 420
 
5.9%
역 406
 
5.7%
번 405
 
5.7%
구 393
 
5.5%
Other values (255) 2635
37.1%

도로명전체주소
Text

MISSING 

Distinct397
Distinct (%)87.6%
Missing6
Missing (%)1.3%
Memory size3.7 KiB
2024-04-16T19:05:41.456676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length46
Mean length32.490066
Min length18

Characters and Unicode

Total characters14718
Distinct characters342
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

Unique354 ?
Unique (%)78.1%

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 453
 
16.8%
1층 51
 
1.9%
사하구 49
 
1.8%
해운대구 49
 
1.8%
강서구 39
 
1.4%
남구 35
 
1.3%
기장군 32
 
1.2%
수영구 30
 
1.1%
금정구 30
 
1.1%
사상구 29
 
1.1%
Other values (935) 1899
70.4%
2024-04-16T19:05:41.924757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2243
 
15.2%
1 638
 
4.3%
동 594
 
4.0%
산 559
 
3.8%
부 505
 
3.4%
시 483
 
3.3%
광 482
 
3.3%
역 453
 
3.1%
구 438
 
3.0%
로 436
 
3.0%
Other values (332) 7887
53.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8569
58.2%
Decimal Number 2508
 
17.0%
Space Separator 2243
 
15.2%
Open Punctuation 431
 
2.9%
Close Punctuation 431
 
2.9%
Other Punctuation 386
 
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 594
 
6.9%
산 559
 
6.5%
부 505
 
5.9%
시 483
 
5.6%
광 482
 
5.6%
역 453
 
5.3%
구 438
 
5.1%
로 436
 
5.1%
대 237
 
2.8%
호 188
 
2.2%
Other values (294) 4194
48.9%
Uppercase Letter
ValueCountFrequency (%)
B 8
23.5%
A 4
11.8%
L 4
11.8%
G 3
 
8.8%
C 3
 
8.8%
E 2
 
5.9%
P 2
 
5.9%
S 2
 
5.9%
O 1
 
2.9%
U 1
 
2.9%
Other values (4) 4
11.8%
Decimal Number
ValueCountFrequency (%)
1 638
25.4%
2 336
13.4%
3 333
13.3%
0 289
11.5%
4 201
 
8.0%
6 164
 
6.5%
5 160
 
6.4%
7 148
 
5.9%
8 133
 
5.3%
9 106
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 381
98.7%
/ 2
 
0.5%
; 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 (%)
2243
100.0%
Open Punctuation
ValueCountFrequency (%)
( 431
100.0%
Close Punctuation
ValueCountFrequency (%)
) 431
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 111
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8569
58.2%
Common 6110
41.5%
Latin 39
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 594
 
6.9%
산 559
 
6.5%
부 505
 
5.9%
시 483
 
5.6%
광 482
 
5.6%
역 453
 
5.3%
구 438
 
5.1%
로 436
 
5.1%
대 237
 
2.8%
호 188
 
2.2%
Other values (294) 4194
48.9%
Common
ValueCountFrequency (%)
2243
36.7%
1 638
 
10.4%
( 431
 
7.1%
) 431
 
7.1%
, 381
 
6.2%
2 336
 
5.5%
3 333
 
5.5%
0 289
 
4.7%
4 201
 
3.3%
6 164
 
2.7%
Other values (9) 663
 
10.9%
Latin
ValueCountFrequency (%)
B 8
20.5%
A 4
10.3%
L 4
10.3%
G 3
 
7.7%
C 3
 
7.7%
E 2
 
5.1%
P 2
 
5.1%
S 2
 
5.1%
O 1
 
2.6%
e 1
 
2.6%
Other values (9) 9
23.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8569
58.2%
ASCII 6149
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2243
36.5%
1 638
 
10.4%
( 431
 
7.0%
) 431
 
7.0%
, 381
 
6.2%
2 336
 
5.5%
3 333
 
5.4%
0 289
 
4.7%
4 201
 
3.3%
6 164
 
2.7%
Other values (28) 702
 
11.4%
Hangul
ValueCountFrequency (%)
동 594
 
6.9%
산 559
 
6.5%
부 505
 
5.9%
시 483
 
5.6%
광 482
 
5.6%
역 453
 
5.3%
구 438
 
5.1%
로 436
 
5.1%
대 237
 
2.8%
호 188
 
2.2%
Other values (294) 4194
48.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct193
Distinct (%)72.8%
Missing194
Missing (%)42.3%
Infinite0
Infinite (%)0.0%
Mean47908.608
Minimum46006
Maximum49510
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2024-04-16T19:05:42.040269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46006
5-th percentile46052
Q146978
median48093
Q348937
95-th percentile49478
Maximum49510
Range3504
Interquartile range (IQR)1959

Descriptive statistics

Standard deviation1106.3013
Coefficient of variation (CV)0.023091911
Kurtosis-1.2053331
Mean47908.608
Median Absolute Deviation (MAD)970
Skewness-0.17956868
Sum12695781
Variance1223902.6
MonotonicityNot monotonic
2024-04-16T19:05:42.152171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
49479 6
 
1.3%
49273 5
 
1.1%
48418 4
 
0.9%
49429 4
 
0.9%
46218 3
 
0.7%
47710 3
 
0.7%
48937 3
 
0.7%
46008 3
 
0.7%
48104 3
 
0.7%
49256 3
 
0.7%
Other values (183) 228
49.7%
(Missing) 194
42.3%
ValueCountFrequency (%)
46006 1
 
0.2%
46008 3
0.7%
46018 1
 
0.2%
46020 2
0.4%
46022 1
 
0.2%
46024 1
 
0.2%
46026 2
0.4%
46044 1
 
0.2%
46047 1
 
0.2%
46052 2
0.4%
ValueCountFrequency (%)
49510 1
 
0.2%
49490 1
 
0.2%
49485 2
 
0.4%
49484 3
0.7%
49479 6
1.3%
49478 2
 
0.4%
49477 1
 
0.2%
49469 1
 
0.2%
49465 2
 
0.4%
49460 1
 
0.2%

사업장명
Text

Distinct384
Distinct (%)83.7%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2024-04-16T19:05:42.366276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length6.7342048
Min length2

Characters and Unicode

Total characters3091
Distinct characters391
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

Unique331 ?
Unique (%)72.1%

Sample

1st row건강아
2nd row펫요밥
3rd row허니멍
4th row프란다스펫푸드
5th row베뭉스낵
ValueCountFrequency (%)
주식회사 19
 
3.5%
리프패럿 6
 
1.1%
이화유지공업(주 5
 
0.9%
바우와우코리아 4
 
0.7%
한성종합상사 4
 
0.7%
퍼플 4
 
0.7%
오엠씨코리아(주 4
 
0.7%
제이에스팜 4
 
0.7%
주)정인 3
 
0.6%
펫푸드 3
 
0.6%
Other values (426) 489
89.7%
2024-04-16T19:05:42.736015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 190
 
6.1%
) 188
 
6.1%
( 188
 
6.1%
이 109
 
3.5%
88
 
2.8%
스 70
 
2.3%
리 56
 
1.8%
사 50
 
1.6%
산 47
 
1.5%
아 45
 
1.5%
Other values (381) 2060
66.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2435
78.8%
Close Punctuation 188
 
6.1%
Open Punctuation 188
 
6.1%
Uppercase Letter 95
 
3.1%
Space Separator 88
 
2.8%
Lowercase Letter 86
 
2.8%
Other Punctuation 9
 
0.3%
Dash Punctuation 1
 
< 0.1%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 190
 
7.8%
이 109
 
4.5%
스 70
 
2.9%
리 56
 
2.3%
사 50
 
2.1%
산 47
 
1.9%
아 45
 
1.8%
에 42
 
1.7%
코 39
 
1.6%
펫 36
 
1.5%
Other values (333) 1751
71.9%
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%
k 4
 
4.7%
s 4
 
4.7%
m 3
 
3.5%
Other values (10) 20
23.3%
Uppercase Letter
ValueCountFrequency (%)
A 9
 
9.5%
M 8
 
8.4%
S 7
 
7.4%
R 6
 
6.3%
B 6
 
6.3%
O 6
 
6.3%
L 6
 
6.3%
E 6
 
6.3%
T 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 (%)
) 188
100.0%
Open Punctuation
ValueCountFrequency (%)
( 188
100.0%
Space Separator
ValueCountFrequency (%)
88
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2435
78.8%
Common 475
 
15.4%
Latin 181
 
5.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 190
 
7.8%
이 109
 
4.5%
스 70
 
2.9%
리 56
 
2.3%
사 50
 
2.1%
산 47
 
1.9%
아 45
 
1.8%
에 42
 
1.7%
코 39
 
1.6%
펫 36
 
1.5%
Other values (333) 1751
71.9%
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%
S 7
 
3.9%
t 7
 
3.9%
R 6
 
3.3%
B 6
 
3.3%
Other values (30) 100
55.2%
Common
ValueCountFrequency (%)
) 188
39.6%
( 188
39.6%
88
18.5%
. 7
 
1.5%
' 1
 
0.2%
- 1
 
0.2%
3 1
 
0.2%
& 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2435
78.8%
ASCII 656
 
21.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 190
 
7.8%
이 109
 
4.5%
스 70
 
2.9%
리 56
 
2.3%
사 50
 
2.1%
산 47
 
1.9%
아 45
 
1.8%
에 42
 
1.7%
코 39
 
1.6%
펫 36
 
1.5%
Other values (333) 1751
71.9%
ASCII
ValueCountFrequency (%)
) 188
28.7%
( 188
28.7%
88
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%
S 7
 
1.1%
Other values (38) 130
19.8%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct459
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0174288 × 1013
Minimum2.0070131 × 1013
Maximum2.021043 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2024-04-16T19:05:42.867730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0070131 × 1013
5-th percentile2.0141006 × 1013
Q12.0150702 × 1013
median2.0180123 × 1013
Q32.0200407 × 1013
95-th percentile2.0210322 × 1013
Maximum2.021043 × 1013
Range1.4029898 × 1011
Interquartile range (IQR)4.9704933 × 1010

Descriptive statistics

Standard deviation2.707175 × 1010
Coefficient of variation (CV)0.0013418937
Kurtosis0.24107467
Mean2.0174288 × 1013
Median Absolute Deviation (MAD)2.0697978 × 1010
Skewness-0.61657155
Sum9.2599981 × 1015
Variance7.3287964 × 1020
MonotonicityNot monotonic
2024-04-16T19:05:43.002248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180627090039 1
 
0.2%
20160328142112 1
 
0.2%
20160322112301 1
 
0.2%
20160302105529 1
 
0.2%
20151125101720 1
 
0.2%
20200727160409 1
 
0.2%
20151006162913 1
 
0.2%
20150915205547 1
 
0.2%
20151124134936 1
 
0.2%
20150812180937 1
 
0.2%
Other values (449) 449
97.8%
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 (%)
20210430091902 1
0.2%
20210429111825 1
0.2%
20210429101817 1
0.2%
20210429101423 1
0.2%
20210427090942 1
0.2%
20210426090550 1
0.2%
20210423174853 1
0.2%
20210420173434 1
0.2%
20210420154759 1
0.2%
20210420103033 1
0.2%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
I
372 
U
87 

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 372
81.0%
U 87
 
19.0%

Length

2024-04-16T19:05:43.120027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:05:43.221032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 372
81.0%
u 87
 
19.0%

데이터갱신일자
Date

Distinct159
Distinct (%)34.6%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
Minimum2018-09-27 23:59:59
Maximum2021-05-02 02:40:00
2024-04-16T19:05:43.324554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T19:05:43.433588image/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 size3.7 KiB
사료제조업(수입)
201 
사료제조업(단미)
189 
사료제조업(배합)
42 
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) 201
43.8%
사료제조업(단미) 189
41.2%
사료제조업(배합) 42
 
9.2%
사료제조업(보조) 27
 
5.9%

Length

2024-04-16T19:05:43.541601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:05:43.636312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사료제조업(수입 201
43.8%
사료제조업(단미 189
41.2%
사료제조업(배합 42
 
9.2%
사료제조업(보조 27
 
5.9%

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct334
Distinct (%)77.5%
Missing28
Missing (%)6.1%
Infinite0
Infinite (%)0.0%
Mean387297.22
Minimum366855
Maximum403995.27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2024-04-16T19:05:43.762755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum366855
5-th percentile377386.53
Q1382543.16
median387904.05
Q3392292.69
95-th percentile398872.98
Maximum403995.27
Range37140.271
Interquartile range (IQR)9749.5341

Descriptive statistics

Standard deviation7201.5303
Coefficient of variation (CV)0.018594325
Kurtosis-0.097536427
Mean387297.22
Median Absolute Deviation (MAD)4595.9492
Skewness-0.17448911
Sum1.669251 × 108
Variance51862038
MonotonicityNot monotonic
2024-04-16T19:05:43.899522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
391411.212179843 6
 
1.3%
383518.040204105 5
 
1.1%
379028.496159721 5
 
1.1%
389016.244891058 4
 
0.9%
392500.0 4
 
0.9%
388298.58931572 4
 
0.9%
390025.840359689 4
 
0.9%
396180.621244719 3
 
0.7%
384515.986951315 3
 
0.7%
385790.053744181 3
 
0.7%
Other values (324) 390
85.0%
(Missing) 28
 
6.1%
ValueCountFrequency (%)
366855.0 1
0.2%
367517.202595356 1
0.2%
369309.811851693 1
0.2%
369325.705193954 1
0.2%
369425.959574129 1
0.2%
369542.333034459 2
0.4%
369569.097768725 1
0.2%
370185.330778163 2
0.4%
370434.877256686 1
0.2%
370936.02436193 2
0.4%
ValueCountFrequency (%)
403995.271035709 1
0.2%
403214.134727013 2
0.4%
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 

Distinct334
Distinct (%)77.5%
Missing28
Missing (%)6.1%
Infinite0
Infinite (%)0.0%
Mean185941.93
Minimum174714.26
Maximum206277
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2024-04-16T19:05:44.031035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174714.26
5-th percentile177039.51
Q1180306.82
median185739.85
Q3189070.67
95-th percentile199183.24
Maximum206277
Range31562.74
Interquartile range (IQR)8763.8532

Descriptive statistics

Standard deviation6815.6307
Coefficient of variation (CV)0.036654619
Kurtosis0.44213482
Mean185941.93
Median Absolute Deviation (MAD)4723.4627
Skewness0.73162205
Sum80140972
Variance46452821
MonotonicityNot monotonic
2024-04-16T19:05:44.157748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
184052.409245407 6
 
1.3%
175580.741380931 5
 
1.1%
178626.290764131 5
 
1.1%
184582.515325585 4
 
0.9%
193111.0 4
 
0.9%
183380.156210672 4
 
0.9%
199541.723268072 4
 
0.9%
186522.35047527 3
 
0.7%
178275.156929713 3
 
0.7%
179002.388888298 3
 
0.7%
Other values (324) 390
85.0%
(Missing) 28
 
6.1%
ValueCountFrequency (%)
174714.259517295 1
 
0.2%
175140.099221406 2
 
0.4%
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 size3.7 KiB
사료제조업
459 

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 459
100.0%

Length

2024-04-16T19:05:44.270816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:05:44.340200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사료제조업 459
100.0%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing459
Missing (%)100.0%
Memory size4.2 KiB

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing459
Missing (%)100.0%
Memory size4.2 KiB

권리주체일련번호
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
000
401 
L00
57 
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 (%)
000 401
87.4%
L00 57
 
12.4%
O00 1
 
0.2%

Length

2024-04-16T19:05:44.413967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:05:44.496570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 401
87.4%
l00 57
 
12.4%
o00 1
 
0.2%

총종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing459
Missing (%)100.0%
Memory size4.2 KiB

Unnamed: 33
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing459
Missing (%)100.0%
Memory size4.2 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
449450사료제조업02_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>
450451사료제조업02_04_05_P626000062600005022021000620210127<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>부산광역시 연제구 연산동 1811번지 182호부산광역시 연제구 금련로6번길 19, 1층 (연산동)<NA>잇플레이러브(Eat Play Love)20210329124209U2021-03-31 02:40:00.0사료제조업(단미)390773.539384187999.734939사료제조업<NA><NA>000<NA><NA>
451452사료제조업02_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>
452453사료제조업02_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>
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454455사료제조업02_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>
455456사료제조업02_04_05_P626000062600005022021000820210208<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>부산광역시 동구 범일동 830번지 164호 405호부산광역시 동구 조방로38번길 5, 4층 405호 (범일동)<NA>주식회사 미래트레이딩20210208100421I2021-02-10 00:23:02.0사료제조업(수입)387821.051263184309.82151사료제조업<NA><NA>L00<NA><NA>
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457458사료제조업02_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>
458459사료제조업02_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>