Overview

Dataset statistics

Number of variables37
Number of observations595
Missing cells8067
Missing cells (%)36.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory187.2 KiB
Average record size in memory322.2 B

Variable types

Numeric11
Categorical11
Text4
Unsupported10
DateTime1

Dataset

Description2021-02-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20220701050101132179

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
개방자치단체코드 has constant value ""Constant
자치단체코드 has constant value ""Constant
업체유형명 has constant value ""Constant
영업상태구분코드 is highly imbalanced (65.3%)Imbalance
영업상태명 is highly imbalanced (65.3%)Imbalance
상세영업상태코드 is highly imbalanced (65.3%)Imbalance
상세영업상태명 is highly imbalanced (65.3%)Imbalance
소재지면적 is highly imbalanced (93.0%)Imbalance
데이터갱신구분 is highly imbalanced (60.1%)Imbalance
인허가취소일자 has 595 (100.0%) missing valuesMissing
폐업일자 has 576 (96.8%) missing valuesMissing
휴업시작일자 has 595 (100.0%) missing valuesMissing
휴업종료일자 has 595 (100.0%) missing valuesMissing
재개업일자 has 595 (100.0%) missing valuesMissing
소재지전화 has 84 (14.1%) missing valuesMissing
소재지우편번호 has 188 (31.6%) missing valuesMissing
소재지전체주소 has 90 (15.1%) missing valuesMissing
도로명우편번호 has 206 (34.6%) missing valuesMissing
업태구분명 has 595 (100.0%) missing valuesMissing
좌표정보(x) has 215 (36.1%) missing valuesMissing
좌표정보(y) has 215 (36.1%) missing valuesMissing
지정정비업종명 has 595 (100.0%) missing valuesMissing
면허일자 has 543 (91.3%) missing valuesMissing
면허유효기간시작일자 has 595 (100.0%) missing valuesMissing
면허유효기간종료일자 has 595 (100.0%) missing valuesMissing
자격면허발급기관 has 595 (100.0%) missing valuesMissing
Unnamed: 36 has 595 (100.0%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 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
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지정정비업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
면허유효기간시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
면허유효기간종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자격면허발급기관 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 36 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자본금 has 8 (1.3%) zerosZeros

Reproduction

Analysis started2024-04-22 00:55:28.019245
Analysis finished2024-04-22 00:55:28.799191
Duration0.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct595
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean298
Minimum1
Maximum595
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.4 KiB
2024-04-22T09:55:28.873958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile30.7
Q1149.5
median298
Q3446.5
95-th percentile565.3
Maximum595
Range594
Interquartile range (IQR)297

Descriptive statistics

Standard deviation171.90598
Coefficient of variation (CV)0.57686571
Kurtosis-1.2
Mean298
Median Absolute Deviation (MAD)149
Skewness0
Sum177310
Variance29551.667
MonotonicityStrictly increasing
2024-04-22T09:55:29.024373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
393 1
 
0.2%
395 1
 
0.2%
396 1
 
0.2%
397 1
 
0.2%
398 1
 
0.2%
399 1
 
0.2%
400 1
 
0.2%
401 1
 
0.2%
402 1
 
0.2%
Other values (585) 585
98.3%
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 (%)
595 1
0.2%
594 1
0.2%
593 1
0.2%
592 1
0.2%
591 1
0.2%
590 1
0.2%
589 1
0.2%
588 1
0.2%
587 1
0.2%
586 1
0.2%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
물류주선업(국제)
595 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row물류주선업(국제)
2nd row물류주선업(국제)
3rd row물류주선업(국제)
4th row물류주선업(국제)
5th row물류주선업(국제)

Common Values

ValueCountFrequency (%)
물류주선업(국제) 595
100.0%

Length

2024-04-22T09:55:29.184164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:55:29.280767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
물류주선업(국제 595
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
11_45_01_P
595 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11_45_01_P
2nd row11_45_01_P
3rd row11_45_01_P
4th row11_45_01_P
5th row11_45_01_P

Common Values

ValueCountFrequency (%)
11_45_01_P 595
100.0%

Length

2024-04-22T09:55:29.385625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:55:29.489761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11_45_01_p 595
100.0%

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
6260000
595 

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 595
100.0%

Length

2024-04-22T09:55:29.597869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:55:29.699383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6260000 595
100.0%

관리번호
Text

UNIQUE 

Distinct595
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2024-04-22T09:55:29.904282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length14.147899
Min length12

Characters and Unicode

Total characters8418
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique595 ?
Unique (%)100.0%

Sample

1st row6260000-63-1071
2nd row6260000-63-1081
3rd row6260000-63-1097
4th row6260000-63-1094
5th row6260000-63-1099
ValueCountFrequency (%)
6260000-63-1071 1
 
0.2%
6260000-63-761 1
 
0.2%
6260000-63-775 1
 
0.2%
6260000-63-765 1
 
0.2%
6260000-63-767 1
 
0.2%
6260000-63-768 1
 
0.2%
6260000-63-769 1
 
0.2%
6260000-63-770 1
 
0.2%
6260000-63-772 1
 
0.2%
6260000-63-514 1
 
0.2%
Other values (585) 585
98.3%
2024-04-22T09:55:30.309092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2546
30.2%
6 1923
22.8%
- 1190
14.1%
3 771
 
9.2%
2 749
 
8.9%
1 339
 
4.0%
5 209
 
2.5%
9 181
 
2.2%
4 177
 
2.1%
7 172
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7228
85.9%
Dash Punctuation 1190
 
14.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2546
35.2%
6 1923
26.6%
3 771
 
10.7%
2 749
 
10.4%
1 339
 
4.7%
5 209
 
2.9%
9 181
 
2.5%
4 177
 
2.4%
7 172
 
2.4%
8 161
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8418
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2546
30.2%
6 1923
22.8%
- 1190
14.1%
3 771
 
9.2%
2 749
 
8.9%
1 339
 
4.0%
5 209
 
2.5%
9 181
 
2.2%
4 177
 
2.1%
7 172
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8418
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2546
30.2%
6 1923
22.8%
- 1190
14.1%
3 771
 
9.2%
2 749
 
8.9%
1 339
 
4.0%
5 209
 
2.5%
9 181
 
2.2%
4 177
 
2.1%
7 172
 
2.0%

인허가일자
Real number (ℝ)

Distinct519
Distinct (%)87.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20116441
Minimum19921126
Maximum20201211
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.4 KiB
2024-04-22T09:55:30.459855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19921126
5-th percentile20001121
Q120080430
median20120607
Q320170120
95-th percentile20200428
Maximum20201211
Range280085
Interquartile range (IQR)89690

Descriptive statistics

Standard deviation60329.512
Coefficient of variation (CV)0.0029990153
Kurtosis-0.10882943
Mean20116441
Median Absolute Deviation (MAD)40502
Skewness-0.66546925
Sum1.1969282 × 1010
Variance3.6396501 × 109
MonotonicityNot monotonic
2024-04-22T09:55:30.614829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20191231 4
 
0.7%
20120809 3
 
0.5%
20150429 3
 
0.5%
20040923 3
 
0.5%
20031029 2
 
0.3%
20180813 2
 
0.3%
20200306 2
 
0.3%
20200428 2
 
0.3%
20180323 2
 
0.3%
20100511 2
 
0.3%
Other values (509) 570
95.8%
ValueCountFrequency (%)
19921126 1
0.2%
19930424 1
0.2%
19931013 1
0.2%
19961203 1
0.2%
19970213 1
0.2%
19970220 1
0.2%
19970227 1
0.2%
19970328 1
0.2%
19970523 1
0.2%
19970604 1
0.2%
ValueCountFrequency (%)
20201211 1
0.2%
20201209 1
0.2%
20201116 1
0.2%
20201012 1
0.2%
20201006 1
0.2%
20200928 1
0.2%
20200914 1
0.2%
20200907 1
0.2%
20200902 2
0.3%
20200824 1
0.2%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing595
Missing (%)100.0%
Memory size5.4 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
1
532 
3
54 
2
 
9

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 532
89.4%
3 54
 
9.1%
2 9
 
1.5%

Length

2024-04-22T09:55:30.789698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:55:30.917312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 532
89.4%
3 54
 
9.1%
2 9
 
1.5%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
영업/정상
532 
폐업
54 
휴업
 
9

Length

Max length5
Median length5
Mean length4.6823529
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
2nd row영업/정상
3rd row영업/정상
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
영업/정상 532
89.4%
폐업 54
 
9.1%
휴업 9
 
1.5%

Length

2024-04-22T09:55:31.041272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:55:31.154902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 532
89.4%
폐업 54
 
9.1%
휴업 9
 
1.5%

상세영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
10
532 
30
54 
20
 
9

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10
2nd row10
3rd row10
4th row10
5th row10

Common Values

ValueCountFrequency (%)
10 532
89.4%
30 54
 
9.1%
20 9
 
1.5%

Length

2024-04-22T09:55:31.268210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:55:31.382977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10 532
89.4%
30 54
 
9.1%
20 9
 
1.5%

상세영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
운행
532 
폐지
54 
휴지
 
9

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운행 532
89.4%
폐지 54
 
9.1%
휴지 9
 
1.5%

Length

2024-04-22T09:55:31.503609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:55:31.629041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운행 532
89.4%
폐지 54
 
9.1%
휴지 9
 
1.5%

폐업일자
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing576
Missing (%)96.8%
Infinite0
Infinite (%)0.0%
Mean20125422
Minimum20080124
Maximum20180524
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.4 KiB
2024-04-22T09:55:31.754349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080124
5-th percentile20108010
Q120120258
median20120612
Q320121120
95-th percentile20171693
Maximum20180524
Range100400
Interquartile range (IQR)861

Descriptive statistics

Standard deviation22469.8
Coefficient of variation (CV)0.0011164884
Kurtosis2.29626
Mean20125422
Median Absolute Deviation (MAD)499
Skewness1.1166565
Sum3.8238301 × 108
Variance5.0489191 × 108
MonotonicityNot monotonic
2024-04-22T09:55:31.907714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
20160721 1
 
0.2%
20080124 1
 
0.2%
20111228 1
 
0.2%
20121123 1
 
0.2%
20120926 1
 
0.2%
20120913 1
 
0.2%
20120316 1
 
0.2%
20121116 1
 
0.2%
20120319 1
 
0.2%
20120612 1
 
0.2%
Other values (9) 9
 
1.5%
(Missing) 576
96.8%
ValueCountFrequency (%)
20080124 1
0.2%
20111109 1
0.2%
20111228 1
0.2%
20120113 1
0.2%
20120201 1
0.2%
20120316 1
0.2%
20120319 1
0.2%
20120406 1
0.2%
20120522 1
0.2%
20120612 1
0.2%
ValueCountFrequency (%)
20180524 1
0.2%
20170712 1
0.2%
20160721 1
0.2%
20121213 1
0.2%
20121123 1
0.2%
20121116 1
0.2%
20120926 1
0.2%
20120913 1
0.2%
20120814 1
0.2%
20120612 1
0.2%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing595
Missing (%)100.0%
Memory size5.4 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing595
Missing (%)100.0%
Memory size5.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing595
Missing (%)100.0%
Memory size5.4 KiB

소재지전화
Real number (ℝ)

MISSING 

Distinct492
Distinct (%)96.3%
Missing84
Missing (%)14.1%
Infinite0
Infinite (%)0.0%
Mean7.2867149 × 108
Minimum51463988
Maximum7.0860012 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.4 KiB
2024-04-22T09:55:32.076728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum51463988
5-th percentile5.1383814 × 108
Q15.1462227 × 108
median5.1466367 × 108
Q35.1710143 × 108
95-th percentile5.1977444 × 108
Maximum7.0860012 × 109
Range7.0345372 × 109
Interquartile range (IQR)2479152.5

Descriptive statistics

Standard deviation1.1578557 × 109
Coefficient of variation (CV)1.5889954
Kurtosis25.794009
Mean7.2867149 × 108
Median Absolute Deviation (MAD)248604
Skewness5.2532082
Sum3.7235113 × 1011
Variance1.3406297 × 1018
MonotonicityNot monotonic
2024-04-22T09:55:32.252980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
514628095 4
 
0.7%
514413808 3
 
0.5%
514623425 2
 
0.3%
512557428 2
 
0.3%
7050119817 2
 
0.3%
514660993 2
 
0.3%
514653311 2
 
0.3%
514698111 2
 
0.3%
519771111 2
 
0.3%
517152600 2
 
0.3%
Other values (482) 488
82.0%
(Missing) 84
 
14.1%
ValueCountFrequency (%)
51463988 1
0.2%
510000000 1
0.2%
512312700 1
0.2%
512408877 2
0.3%
512414401 1
0.2%
512420623 1
0.2%
512464835 1
0.2%
512486552 1
0.2%
512531191 1
0.2%
512533005 1
0.2%
ValueCountFrequency (%)
7086001217 1
0.2%
7082715320 1
0.2%
7078401899 1
0.2%
7077052440 1
0.2%
7076133332 1
0.2%
7074596733 1
0.2%
7070124007 1
0.2%
7051026354 1
0.2%
7050662971 1
0.2%
7050119817 2
0.3%

소재지면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
<NA>
590 
0
 
5

Length

Max length4
Median length4
Mean length3.9747899
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> 590
99.2%
0 5
 
0.8%

Length

2024-04-22T09:55:32.403497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:55:32.519870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 590
99.2%
0 5
 
0.8%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct160
Distinct (%)39.3%
Missing188
Missing (%)31.6%
Infinite0
Infinite (%)0.0%
Mean151919.51
Minimum46006
Maximum617809
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.4 KiB
2024-04-22T09:55:32.644321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46006
5-th percentile46731.1
Q148486
median48931
Q348942.5
95-th percentile601780.1
Maximum617809
Range571803
Interquartile range (IQR)456.5

Descriptive statistics

Standard deviation216173.76
Coefficient of variation (CV)1.4229493
Kurtosis0.60844258
Mean151919.51
Median Absolute Deviation (MAD)338
Skewness1.6139648
Sum61831241
Variance4.6731096 × 1010
MonotonicityNot monotonic
2024-04-22T09:55:32.808382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48937 28
 
4.7%
48936 27
 
4.5%
48941 15
 
2.5%
48938 14
 
2.4%
48924 14
 
2.4%
600816 13
 
2.2%
600814 13
 
2.2%
48058 11
 
1.8%
48929 10
 
1.7%
48059 10
 
1.7%
Other values (150) 252
42.4%
(Missing) 188
31.6%
ValueCountFrequency (%)
46006 1
0.2%
46023 1
0.2%
46056 1
0.2%
46243 1
0.2%
46245 1
0.2%
46257 1
0.2%
46275 1
0.2%
46283 1
0.2%
46327 1
0.2%
46334 1
0.2%
ValueCountFrequency (%)
617809 1
 
0.2%
617804 1
 
0.2%
617801 1
 
0.2%
617726 1
 
0.2%
612842 1
 
0.2%
612020 1
 
0.2%
608830 2
0.3%
608060 1
 
0.2%
606800 1
 
0.2%
601839 3
0.5%

소재지전체주소
Text

MISSING 

Distinct467
Distinct (%)92.5%
Missing90
Missing (%)15.1%
Memory size4.8 KiB
2024-04-22T09:55:33.185228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length37
Mean length28.471287
Min length17

Characters and Unicode

Total characters14378
Distinct characters293
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique439 ?
Unique (%)86.9%

Sample

1st row부산광역시 동구 초량동 1210-6 태영노블리안 533호
2nd row부산광역시 해운대구 좌동 1476-4 파크브라이언오피스텔
3rd row부산광역시 부산진구 부전동 155-1 3층 109호
4th row부산광역시 수영구 망미동 412-7 2층
5th row부산광역시 동구 초량동 1204-7 혁정빌딩3층
ValueCountFrequency (%)
부산광역시 504
 
17.8%
중구 269
 
9.5%
중앙동4가 213
 
7.5%
동구 61
 
2.2%
해운대구 42
 
1.5%
초량동 37
 
1.3%
남구 33
 
1.2%
1호 29
 
1.0%
우동 24
 
0.8%
강서구 22
 
0.8%
Other values (799) 1595
56.4%
2024-04-22T09:55:33.709628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2547
 
17.7%
1 688
 
4.8%
동 663
 
4.6%
산 579
 
4.0%
부 566
 
3.9%
광 524
 
3.6%
중 519
 
3.6%
시 510
 
3.5%
역 510
 
3.5%
구 507
 
3.5%
Other values (283) 6765
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8347
58.1%
Decimal Number 3150
 
21.9%
Space Separator 2547
 
17.7%
Dash Punctuation 274
 
1.9%
Uppercase Letter 38
 
0.3%
Other Punctuation 7
 
< 0.1%
Close Punctuation 6
 
< 0.1%
Open Punctuation 6
 
< 0.1%
Math Symbol 1
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 663
 
7.9%
산 579
 
6.9%
부 566
 
6.8%
광 524
 
6.3%
중 519
 
6.2%
시 510
 
6.1%
역 510
 
6.1%
구 507
 
6.1%
호 408
 
4.9%
가 284
 
3.4%
Other values (247) 3277
39.3%
Uppercase Letter
ValueCountFrequency (%)
T 6
15.8%
S 4
10.5%
K 4
10.5%
B 3
 
7.9%
A 3
 
7.9%
J 3
 
7.9%
I 2
 
5.3%
O 2
 
5.3%
R 2
 
5.3%
X 1
 
2.6%
Other values (8) 8
21.1%
Decimal Number
ValueCountFrequency (%)
1 688
21.8%
4 449
14.3%
2 399
12.7%
0 373
11.8%
8 271
 
8.6%
3 269
 
8.5%
7 222
 
7.0%
5 219
 
7.0%
6 160
 
5.1%
9 100
 
3.2%
Space Separator
ValueCountFrequency (%)
2547
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 274
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
n 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8347
58.1%
Common 5991
41.7%
Latin 40
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 663
 
7.9%
산 579
 
6.9%
부 566
 
6.8%
광 524
 
6.3%
중 519
 
6.2%
시 510
 
6.1%
역 510
 
6.1%
구 507
 
6.1%
호 408
 
4.9%
가 284
 
3.4%
Other values (247) 3277
39.3%
Latin
ValueCountFrequency (%)
T 6
15.0%
S 4
 
10.0%
K 4
 
10.0%
B 3
 
7.5%
A 3
 
7.5%
J 3
 
7.5%
I 2
 
5.0%
O 2
 
5.0%
R 2
 
5.0%
X 1
 
2.5%
Other values (10) 10
25.0%
Common
ValueCountFrequency (%)
2547
42.5%
1 688
 
11.5%
4 449
 
7.5%
2 399
 
6.7%
0 373
 
6.2%
- 274
 
4.6%
8 271
 
4.5%
3 269
 
4.5%
7 222
 
3.7%
5 219
 
3.7%
Other values (6) 280
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8347
58.1%
ASCII 6030
41.9%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2547
42.2%
1 688
 
11.4%
4 449
 
7.4%
2 399
 
6.6%
0 373
 
6.2%
- 274
 
4.5%
8 271
 
4.5%
3 269
 
4.5%
7 222
 
3.7%
5 219
 
3.6%
Other values (25) 319
 
5.3%
Hangul
ValueCountFrequency (%)
동 663
 
7.9%
산 579
 
6.9%
부 566
 
6.8%
광 524
 
6.3%
중 519
 
6.2%
시 510
 
6.1%
역 510
 
6.1%
구 507
 
6.1%
호 408
 
4.9%
가 284
 
3.4%
Other values (247) 3277
39.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

도로명전체주소
Text

Distinct570
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2024-04-22T09:55:34.356098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length47
Mean length35.976471
Min length22

Characters and Unicode

Total characters21406
Distinct characters310
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique548 ?
Unique (%)92.1%

Sample

1st row부산광역시 동구 중앙대로 169, 태영노블리안 533호 (초량동)
2nd row부산광역시 해운대구 해운대로774번길 33, 파크브라이언오피스텔 1806호 (좌동)
3rd row부산광역시 부산진구 서전로 8, 3층 109호 (부전동)
4th row부산광역시 수영구 과정로56번길 7, 2층 (망미동)
5th row부산광역시 동구 중앙대로196번길 6-7, 혁정빌딩 3층 (초량동)
ValueCountFrequency (%)
부산광역시 595
 
15.6%
중구 309
 
8.1%
중앙동4가 149
 
3.9%
중앙대로 106
 
2.8%
충장대로9번길 78
 
2.0%
동구 78
 
2.0%
해운대구 51
 
1.3%
충장대로5번길 48
 
1.3%
남구 40
 
1.0%
초량동 38
 
1.0%
Other values (975) 2323
60.9%
2024-04-22T09:55:34.892433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3220
 
15.0%
동 803
 
3.8%
중 802
 
3.7%
, 732
 
3.4%
1 726
 
3.4%
산 702
 
3.3%
부 670
 
3.1%
광 639
 
3.0%
시 607
 
2.8%
구 603
 
2.8%
Other values (300) 11902
55.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12288
57.4%
Decimal Number 3783
 
17.7%
Space Separator 3220
 
15.0%
Other Punctuation 732
 
3.4%
Open Punctuation 599
 
2.8%
Close Punctuation 599
 
2.8%
Dash Punctuation 123
 
0.6%
Uppercase Letter 59
 
0.3%
Math Symbol 1
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 803
 
6.5%
중 802
 
6.5%
산 702
 
5.7%
부 670
 
5.5%
광 639
 
5.2%
시 607
 
4.9%
구 603
 
4.9%
역 601
 
4.9%
로 587
 
4.8%
대 500
 
4.1%
Other values (264) 5774
47.0%
Uppercase Letter
ValueCountFrequency (%)
A 8
13.6%
T 7
11.9%
C 5
 
8.5%
P 5
 
8.5%
E 4
 
6.8%
O 4
 
6.8%
K 4
 
6.8%
B 3
 
5.1%
J 3
 
5.1%
R 3
 
5.1%
Other values (8) 13
22.0%
Decimal Number
ValueCountFrequency (%)
1 726
19.2%
2 498
13.2%
0 481
12.7%
4 472
12.5%
3 384
10.2%
5 317
8.4%
9 258
 
6.8%
6 255
 
6.7%
7 206
 
5.4%
8 186
 
4.9%
Space Separator
ValueCountFrequency (%)
3220
100.0%
Other Punctuation
ValueCountFrequency (%)
, 732
100.0%
Open Punctuation
ValueCountFrequency (%)
( 599
100.0%
Close Punctuation
ValueCountFrequency (%)
) 599
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 123
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
n 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12288
57.4%
Common 9057
42.3%
Latin 61
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 803
 
6.5%
중 802
 
6.5%
산 702
 
5.7%
부 670
 
5.5%
광 639
 
5.2%
시 607
 
4.9%
구 603
 
4.9%
역 601
 
4.9%
로 587
 
4.8%
대 500
 
4.1%
Other values (264) 5774
47.0%
Latin
ValueCountFrequency (%)
A 8
13.1%
T 7
11.5%
C 5
 
8.2%
P 5
 
8.2%
E 4
 
6.6%
O 4
 
6.6%
K 4
 
6.6%
B 3
 
4.9%
J 3
 
4.9%
R 3
 
4.9%
Other values (10) 15
24.6%
Common
ValueCountFrequency (%)
3220
35.6%
, 732
 
8.1%
1 726
 
8.0%
( 599
 
6.6%
) 599
 
6.6%
2 498
 
5.5%
0 481
 
5.3%
4 472
 
5.2%
3 384
 
4.2%
5 317
 
3.5%
Other values (6) 1029
 
11.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12288
57.4%
ASCII 9117
42.6%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3220
35.3%
, 732
 
8.0%
1 726
 
8.0%
( 599
 
6.6%
) 599
 
6.6%
2 498
 
5.5%
0 481
 
5.3%
4 472
 
5.2%
3 384
 
4.2%
5 317
 
3.5%
Other values (25) 1089
 
11.9%
Hangul
ValueCountFrequency (%)
동 803
 
6.5%
중 802
 
6.5%
산 702
 
5.7%
부 670
 
5.5%
광 639
 
5.2%
시 607
 
4.9%
구 603
 
4.9%
역 601
 
4.9%
로 587
 
4.8%
대 500
 
4.1%
Other values (264) 5774
47.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct143
Distinct (%)36.8%
Missing206
Missing (%)34.6%
Infinite0
Infinite (%)0.0%
Mean48474.558
Minimum46006
Maximum49509
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.4 KiB
2024-04-22T09:55:35.066162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46006
5-th percentile46726
Q148068
median48924
Q348937
95-th percentile49049
Maximum49509
Range3503
Interquartile range (IQR)869

Descriptive statistics

Standard deviation763.89322
Coefficient of variation (CV)0.015758642
Kurtosis1.4632626
Mean48474.558
Median Absolute Deviation (MAD)104
Skewness-1.555525
Sum18856603
Variance583532.85
MonotonicityNot monotonic
2024-04-22T09:55:35.290563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48937 33
 
5.5%
48936 30
 
5.0%
48938 20
 
3.4%
48941 15
 
2.5%
48924 15
 
2.5%
48058 14
 
2.4%
48059 13
 
2.2%
48929 10
 
1.7%
48939 10
 
1.7%
48934 9
 
1.5%
Other values (133) 220
37.0%
(Missing) 206
34.6%
ValueCountFrequency (%)
46006 1
0.2%
46023 1
0.2%
46056 1
0.2%
46243 1
0.2%
46245 1
0.2%
46257 1
0.2%
46272 1
0.2%
46275 1
0.2%
46283 1
0.2%
46327 1
0.2%
ValueCountFrequency (%)
49509 1
0.2%
49503 1
0.2%
49453 1
0.2%
49449 1
0.2%
49427 1
0.2%
49410 1
0.2%
49273 1
0.2%
49269 2
0.3%
49263 1
0.2%
49261 1
0.2%

사업장명
Text

Distinct590
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2024-04-22T09:55:35.537659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length18
Mean length9.4117647
Min length2

Characters and Unicode

Total characters5600
Distinct characters296
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique586 ?
Unique (%)98.5%

Sample

1st row(주)엔브릿지
2nd row(주)한울트랜스
3rd row(주)에머린코리아
4th row(주)에이치티에스
5th row(주)지와이앤지엘에스
ValueCountFrequency (%)
주 63
 
8.7%
주식회사 54
 
7.5%
유한회사 3
 
0.4%
마리타임허브(주 3
 
0.4%
주)제이에스로직스 2
 
0.3%
주)웰빙로지스 2
 
0.3%
주)에이치에스엘엔씨 2
 
0.3%
유 2
 
0.3%
서도상선(주 1
 
0.1%
주)로고스글로벌 1
 
0.1%
Other values (591) 591
81.6%
2024-04-22T09:55:35.911523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 592
 
10.6%
( 539
 
9.6%
) 539
 
9.6%
스 349
 
6.2%
로 210
 
3.8%
이 189
 
3.4%
지 134
 
2.4%
129
 
2.3%
에 129
 
2.3%
운 95
 
1.7%
Other values (286) 2695
48.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4387
78.3%
Open Punctuation 539
 
9.6%
Close Punctuation 539
 
9.6%
Space Separator 129
 
2.3%
Uppercase Letter 5
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 592
 
13.5%
스 349
 
8.0%
로 210
 
4.8%
이 189
 
4.3%
지 134
 
3.1%
에 129
 
2.9%
운 95
 
2.2%
물 88
 
2.0%
류 86
 
2.0%
해 86
 
2.0%
Other values (277) 2429
55.4%
Uppercase Letter
ValueCountFrequency (%)
C 1
20.0%
J 1
20.0%
S 1
20.0%
L 1
20.0%
G 1
20.0%
Open Punctuation
ValueCountFrequency (%)
( 539
100.0%
Close Punctuation
ValueCountFrequency (%)
) 539
100.0%
Space Separator
ValueCountFrequency (%)
129
100.0%
Other Punctuation
ValueCountFrequency (%)
: 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4387
78.3%
Common 1208
 
21.6%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 592
 
13.5%
스 349
 
8.0%
로 210
 
4.8%
이 189
 
4.3%
지 134
 
3.1%
에 129
 
2.9%
운 95
 
2.2%
물 88
 
2.0%
류 86
 
2.0%
해 86
 
2.0%
Other values (277) 2429
55.4%
Latin
ValueCountFrequency (%)
C 1
20.0%
J 1
20.0%
S 1
20.0%
L 1
20.0%
G 1
20.0%
Common
ValueCountFrequency (%)
( 539
44.6%
) 539
44.6%
129
 
10.7%
: 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4387
78.3%
ASCII 1213
 
21.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 592
 
13.5%
스 349
 
8.0%
로 210
 
4.8%
이 189
 
4.3%
지 134
 
3.1%
에 129
 
2.9%
운 95
 
2.2%
물 88
 
2.0%
류 86
 
2.0%
해 86
 
2.0%
Other values (277) 2429
55.4%
ASCII
ValueCountFrequency (%)
( 539
44.4%
) 539
44.4%
129
 
10.6%
C 1
 
0.1%
J 1
 
0.1%
: 1
 
0.1%
S 1
 
0.1%
L 1
 
0.1%
G 1
 
0.1%

최종수정시점
Real number (ℝ)

Distinct398
Distinct (%)66.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0175641 × 1013
Minimum2.0111102 × 1013
Maximum2.0201231 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.4 KiB
2024-04-22T09:55:36.183702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0111102 × 1013
5-th percentile2.0120314 × 1013
Q12.0160716 × 1013
median2.0180827 × 1013
Q32.0200603 × 1013
95-th percentile2.0201151 × 1013
Maximum2.0201231 × 1013
Range9.0129 × 1010
Interquartile range (IQR)3.98865 × 1010

Descriptive statistics

Standard deviation2.842416 × 1010
Coefficient of variation (CV)0.0014088356
Kurtosis-0.45506399
Mean2.0175641 × 1013
Median Absolute Deviation (MAD)1.9788 × 1010
Skewness-0.97316052
Sum1.2004506 × 1016
Variance8.079329 × 1020
MonotonicityNot monotonic
2024-04-22T09:55:36.543276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20131230000000 13
 
2.2%
20120107000000 11
 
1.8%
20130725000000 9
 
1.5%
20131226000000 9
 
1.5%
20201007000000 7
 
1.2%
20201231000000 7
 
1.2%
20200902000000 5
 
0.8%
20200813000000 5
 
0.8%
20200508000000 5
 
0.8%
20181029000000 4
 
0.7%
Other values (388) 520
87.4%
ValueCountFrequency (%)
20111102000000 4
 
0.7%
20111107000000 1
 
0.2%
20111110000000 1
 
0.2%
20111203000000 3
 
0.5%
20111229000000 1
 
0.2%
20120106000000 2
 
0.3%
20120107000000 11
1.8%
20120116000000 1
 
0.2%
20120117000000 1
 
0.2%
20120127000000 1
 
0.2%
ValueCountFrequency (%)
20201231000000 7
1.2%
20201230000000 3
0.5%
20201223000000 1
 
0.2%
20201222000000 2
 
0.3%
20201221000000 1
 
0.2%
20201218000000 1
 
0.2%
20201217000000 1
 
0.2%
20201215000000 2
 
0.3%
20201211000000 1
 
0.2%
20201209000000 3
0.5%

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
U
548 
I
 
47

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 548
92.1%
I 47
 
7.9%

Length

2024-04-22T09:55:36.872607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:55:37.142454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 548
92.1%
i 47
 
7.9%

데이터갱신일자
Date

Distinct203
Distinct (%)34.1%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
Minimum2018-10-12 23:59:59
Maximum2021-01-02 02:40:00
2024-04-22T09:55:37.467122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T09:55:37.863523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing595
Missing (%)100.0%
Memory size5.4 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct245
Distinct (%)64.5%
Missing215
Missing (%)36.1%
Infinite0
Infinite (%)0.0%
Mean386253.3
Minimum365359.22
Maximum401641.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.4 KiB
2024-04-22T09:55:38.220801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum365359.22
5-th percentile378260.67
Q1385614.93
median385745.79
Q3388171.89
95-th percentile393791.37
Maximum401641.02
Range36281.799
Interquartile range (IQR)2556.9593

Descriptive statistics

Standard deviation5123.5646
Coefficient of variation (CV)0.013264779
Kurtosis4.7776383
Mean386253.3
Median Absolute Deviation (MAD)238.14597
Skewness-1.2978775
Sum1.4677626 × 108
Variance26250914
MonotonicityNot monotonic
2024-04-22T09:55:38.511380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
393519.0 10
 
1.7%
385561.650139456 8
 
1.3%
385774.718168592 7
 
1.2%
385507.640529964 7
 
1.2%
388310.086924943 5
 
0.8%
385629.733383327 4
 
0.7%
385748.59314215 4
 
0.7%
385502.492319657 4
 
0.7%
391411.212179843 4
 
0.7%
390030.875940085 4
 
0.7%
Other values (235) 323
54.3%
(Missing) 215
36.1%
ValueCountFrequency (%)
365359.221940167 1
0.2%
366505.223718151 2
0.3%
367305.0 1
0.2%
367426.0 1
0.2%
367896.367634158 1
0.2%
367897.480797822 1
0.2%
367929.686322633 1
0.2%
368895.683962 1
0.2%
369167.007999 1
0.2%
369561.619567322 1
0.2%
ValueCountFrequency (%)
401641.020500667 1
 
0.2%
400781.230049115 2
0.3%
398287.481390177 1
 
0.2%
396890.833941 1
 
0.2%
396100.335467166 1
 
0.2%
394304.865511712 1
 
0.2%
394209.294344881 4
0.7%
394067.607348183 1
 
0.2%
394035.249095 2
0.3%
393918.643809797 1
 
0.2%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct245
Distinct (%)64.5%
Missing215
Missing (%)36.1%
Infinite0
Infinite (%)0.0%
Mean182608.68
Minimum174148.96
Maximum205316.09
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.4 KiB
2024-04-22T09:55:38.752269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174148.96
5-th percentile178466.37
Q1180496.46
median180902.78
Q3184052.41
95-th percentile190681.19
Maximum205316.09
Range31167.132
Interquartile range (IQR)3555.9509

Descriptive statistics

Standard deviation3881.6339
Coefficient of variation (CV)0.021256569
Kurtosis4.0717662
Mean182608.68
Median Absolute Deviation (MAD)698.30445
Skewness1.6926772
Sum69391297
Variance15067082
MonotonicityNot monotonic
2024-04-22T09:55:38.965059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
188317.0 10
 
1.7%
180152.738082365 8
 
1.3%
181016.388386051 7
 
1.2%
180548.792611588 7
 
1.2%
183883.854898063 5
 
0.8%
180827.538655672 4
 
0.7%
180848.000905503 4
 
0.7%
180297.579330876 4
 
0.7%
184052.409245407 4
 
0.7%
181109.276283054 4
 
0.7%
Other values (235) 323
54.3%
(Missing) 215
36.1%
ValueCountFrequency (%)
174148.956142084 1
0.2%
175414.0 1
0.2%
175580.741380931 1
0.2%
176148.730042896 1
0.2%
176733.081033422 1
0.2%
177235.101882817 1
0.2%
177247.448414115 1
0.2%
177366.0 1
0.2%
177424.186311313 1
0.2%
177518.0 1
0.2%
ValueCountFrequency (%)
205316.087875 1
0.2%
197046.849750743 1
0.2%
196290.435788155 1
0.2%
195781.927572527 1
0.2%
195272.369619738 1
0.2%
194577.0 1
0.2%
193961.154683513 1
0.2%
193183.089715289 1
0.2%
193111.0 1
0.2%
193080.721758 1
0.2%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
6260000
595 

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 595
100.0%

Length

2024-04-22T09:55:39.181601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:55:39.317717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6260000 595
100.0%

업체유형명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
국제물류주선업
595 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국제물류주선업 595
100.0%

Length

2024-04-22T09:55:39.455008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:55:39.596527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국제물류주선업 595
100.0%

자본금
Real number (ℝ)

ZEROS 

Distinct47
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.1889032 × 108
Minimum0
Maximum2.6189792 × 1010
Zeros8
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size5.4 KiB
2024-04-22T09:55:39.751491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3 × 108
Q13 × 108
median3 × 108
Q33 × 108
95-th percentile9.828365 × 108
Maximum2.6189792 × 1010
Range2.6189792 × 1010
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.1829621 × 109
Coefficient of variation (CV)3.5272196
Kurtosis94.995441
Mean6.1889032 × 108
Median Absolute Deviation (MAD)0
Skewness9.3098307
Sum3.6823974 × 1011
Variance4.7653233 × 1018
MonotonicityNot monotonic
2024-04-22T09:55:39.948192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
300000000 520
87.4%
0 8
 
1.3%
500000000 8
 
1.3%
600000000 5
 
0.8%
3000000 2
 
0.3%
400000000 2
 
0.3%
305000000 2
 
0.3%
800000000 2
 
0.3%
1000000000 2
 
0.3%
1300000000 2
 
0.3%
Other values (37) 42
 
7.1%
ValueCountFrequency (%)
0 8
 
1.3%
3000000 2
 
0.3%
100000000 1
 
0.2%
300000000 520
87.4%
300500000 1
 
0.2%
301000000 1
 
0.2%
301500000 1
 
0.2%
305000000 2
 
0.3%
306000000 1
 
0.2%
310000000 2
 
0.3%
ValueCountFrequency (%)
26189792500 1
0.2%
25793045000 1
0.2%
24688222500 1
0.2%
17000000000 1
0.2%
14873937000 1
0.2%
11000000000 2
0.3%
8366575000 1
0.2%
6502015000 1
0.2%
6500000000 1
0.2%
5954400000 1
0.2%

지정정비업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing595
Missing (%)100.0%
Memory size5.4 KiB

면허일자
Real number (ℝ)

MISSING 

Distinct49
Distinct (%)94.2%
Missing543
Missing (%)91.3%
Infinite0
Infinite (%)0.0%
Mean20118267
Minimum20070108
Maximum20150818
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.4 KiB
2024-04-22T09:55:40.155543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070108
5-th percentile20076270
Q120108042
median20120809
Q320130435
95-th percentile20150124
Maximum20150818
Range80710
Interquartile range (IQR)22393

Descriptive statistics

Standard deviation20662.27
Coefficient of variation (CV)0.0010270403
Kurtosis0.025894335
Mean20118267
Median Absolute Deviation (MAD)9793
Skewness-0.68971532
Sum1.0461499 × 109
Variance4.2692939 × 108
MonotonicityNot monotonic
2024-04-22T09:55:40.412267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
20120106 2
 
0.3%
20120809 2
 
0.3%
20130306 2
 
0.3%
20150120 1
 
0.2%
20140331 1
 
0.2%
20131016 1
 
0.2%
20140307 1
 
0.2%
20110615 1
 
0.2%
20070108 1
 
0.2%
20120207 1
 
0.2%
Other values (39) 39
 
6.6%
(Missing) 543
91.3%
ValueCountFrequency (%)
20070108 1
0.2%
20070710 1
0.2%
20070726 1
0.2%
20080806 1
0.2%
20090629 1
0.2%
20090710 1
0.2%
20090722 1
0.2%
20090901 1
0.2%
20091214 1
0.2%
20100105 1
0.2%
ValueCountFrequency (%)
20150818 1
0.2%
20150209 1
0.2%
20150128 1
0.2%
20150120 1
0.2%
20141224 1
0.2%
20141020 1
0.2%
20140331 1
0.2%
20140324 1
0.2%
20140307 1
0.2%
20131016 1
0.2%

면허유효기간시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing595
Missing (%)100.0%
Memory size5.4 KiB

면허유효기간종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing595
Missing (%)100.0%
Memory size5.4 KiB

자격면허발급기관
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing595
Missing (%)100.0%
Memory size5.4 KiB

Unnamed: 36
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing595
Missing (%)100.0%
Memory size5.4 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)자치단체코드업체유형명자본금지정정비업종명면허일자면허유효기간시작일자면허유효기간종료일자자격면허발급기관Unnamed: 36
01물류주선업(국제)11_45_01_P62600006260000-63-107120190215<NA>1영업/정상10운행<NA><NA><NA><NA>517107978<NA>48820부산광역시 동구 초량동 1210-6 태영노블리안 533호부산광역시 동구 중앙대로 169, 태영노블리안 533호 (초량동)48820(주)엔브릿지20200429000000U2020-05-01 02:40:00.0<NA>385747.068543181215.2065916260000국제물류주선업300000000<NA><NA><NA><NA><NA><NA>
12물류주선업(국제)11_45_01_P62600006260000-63-108120081230<NA>1영업/정상10운행<NA><NA><NA><NA><NA><NA>48104부산광역시 해운대구 좌동 1476-4 파크브라이언오피스텔부산광역시 해운대구 해운대로774번길 33, 파크브라이언오피스텔 1806호 (좌동)48104(주)한울트랜스20190326000000I2019-03-28 02:20:07.0<NA>398287.48139187460.2393486260000국제물류주선업300000000<NA><NA><NA><NA><NA><NA>
23물류주선업(국제)11_45_01_P62600006260000-63-109720131004<NA>1영업/정상10운행<NA><NA><NA><NA>7074596733<NA>47291부산광역시 부산진구 부전동 155-1 3층 109호부산광역시 부산진구 서전로 8, 3층 109호 (부전동)47291(주)에머린코리아20201021000000U2020-10-23 02:40:00.0<NA>387681.0186215.06260000국제물류주선업300000000<NA><NA><NA><NA><NA><NA>
34물류주선업(국제)11_45_01_P62600006260000-63-109420190514<NA>1영업/정상10운행<NA><NA><NA><NA>517118258<NA>48218부산광역시 수영구 망미동 412-7 2층부산광역시 수영구 과정로56번길 7, 2층 (망미동)48218(주)에이치티에스20200508000000U2020-05-10 02:40:00.0<NA>391953.39786188390.3588996260000국제물류주선업300000000<NA><NA><NA><NA><NA><NA>
45물류주선업(국제)11_45_01_P62600006260000-63-109920190620<NA>1영업/정상10운행<NA><NA><NA><NA>517910801<NA>48821부산광역시 동구 초량동 1204-7 혁정빌딩3층부산광역시 동구 중앙대로196번길 6-7, 혁정빌딩 3층 (초량동)48821(주)지와이앤지엘에스20200630000000U2020-07-02 02:40:00.0<NA>385906.07313181303.8840216260000국제물류주선업300000000<NA><NA><NA><NA><NA><NA>
56물류주선업(국제)11_45_01_P62600006260000-63-108620190404<NA>1영업/정상10운행<NA><NA><NA><NA>7042547136<NA>49410부산광역시 사하구 하단동 17-6 기륭빌딩 201호부산광역시 사하구 괴정로 67, 201호 (하단동, 기륭빌딩)49410(주)고래물류20200629000000U2020-07-01 02:40:00.0<NA>379694.867376179911.5143286260000국제물류주선업300000000<NA><NA><NA><NA><NA><NA>
67물류주선업(국제)11_45_01_P62600006260000-63-111620180410<NA>1영업/정상10운행<NA><NA><NA><NA>517172409<NA>48222부산광역시 수영구 수영동 518번지 알파오피스텔 1동 806호부산광역시 수영구 수영로 759, 알파오피스텔 (수영동)48222(주)로빈로직스20200525000000U2020-05-27 02:40:00.0<NA>393284.046238187432.5345736260000국제물류주선업300000000<NA><NA><NA><NA><NA><NA>
78물류주선업(국제)11_45_01_P62600006260000-63-111720190909<NA>1영업/정상10운행<NA><NA><NA><NA>517144674<NA>48941부산광역시 중구 중앙동4가 17-7부산광역시 중구 대청로155번길 6, 유성빌딩 7층 (중앙동4가)48941(주)에스와이글로벌20200416000000U2020-04-18 02:40:00.0<NA>385688.912554180165.796526260000국제물류주선업300000000<NA><NA><NA><NA><NA><NA>
89물류주선업(국제)11_45_01_P62600006260000-63-110720140703<NA>1영업/정상10운행<NA><NA><NA><NA>514657401<NA>48730부산광역시 동구 초량동 1162-9 GT빌딩,8층 801호부산광역시 동구 중앙대로286번길 7, GT빌딩 8층 801호 (초량동)48730(주)케이엔이글로벌20200728000000U2020-07-30 02:40:00.0<NA>386293.183171182224.6379146260000국제물류주선업300000000<NA><NA><NA><NA><NA><NA>
910물류주선업(국제)11_45_01_P62600006260000-63-110020190626<NA>1영업/정상10운행<NA><NA><NA><NA>7047748906<NA>48937부산광역시 중구 중앙동4가 81-21 굿어스빌딩6층 603호부산광역시 중구 충장대로9번길 31, 굿어스빌딩 6층 603호 (중앙동4가)48937(주)비엔에스코리아20201231000000U2021-01-02 02:40:00.0<NA>385713.795031180679.2581656260000국제물류주선업300000000<NA><NA><NA><NA><NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)자치단체코드업체유형명자본금지정정비업종명면허일자면허유효기간시작일자면허유효기간종료일자자격면허발급기관Unnamed: 36
585586물류주선업(국제)11_45_01_P62600006260000-63-51119961203<NA>3폐업30폐지20120926<NA><NA><NA>514414945<NA>600814부산광역시 중구 중앙동4가 88번지 1호 미광빌딩 301호부산광역시 중구 충장대로9번길 11, 301호 (중앙동4가,미광빌딩)<NA>(주)에이블물류20120926000000U2018-11-03 04:00:00.0<NA><NA><NA>6260000국제물류주선업300000000<NA><NA><NA><NA><NA><NA>
586587물류주선업(국제)11_45_01_P62600006260000-63-51520021107<NA>3폐업30폐지20121123<NA><NA><NA>514625075<NA>601839부산광역시 동구 초량1동 1212번지 4호 영동빌딩 203호부산광역시 동구 중앙대로180번길 6-9, 203호 (초량동,영동빌딩)<NA>(주)미래로지스틱스20121123000000U2018-11-03 04:00:00.0<NA><NA><NA>6260000국제물류주선업300000000<NA><NA><NA><NA><NA><NA>
587588물류주선업(국제)11_45_01_P62600006260000-63-81420150724<NA>3폐업30폐지<NA><NA><NA><NA>519516114<NA>48520부산광역시 남구 용당동 485-1 대우상용차부산광역시 남구 신선로 406, 동명빌딩 201호 (용당동)48520주식회사 서원운수20181120000000U2018-11-22 02:37:54.0<NA>391302.832313182267.0150876260000국제물류주선업300000000<NA><NA><NA><NA><NA><NA>
588589물류주선업(국제)11_45_01_P62600006260000-63-83120151110<NA>3폐업30폐지<NA><NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 중앙대로98번길 7 (중앙동4가)48938(주)유넥스로지스20181102000000U2018-11-12 04:00:00.0<NA>385662.72251180503.6408716260000국제물류주선업300000000<NA><NA><NA><NA><NA><NA>
589590물류주선업(국제)11_45_01_P62600006260000-63-9519991215<NA>3폐업30폐지<NA><NA><NA><NA>514413272<NA>600817부산광역시 중구 중앙동4가 81번지 1호 정원빌딩 405호부산광역시 중구 충장대로5번길 42, 405호 (중앙동4가,정원빌딩)<NA>(주)엔비20180326000000U2018-11-03 04:00:00.0<NA><NA><NA>6260000국제물류주선업300000000<NA><NA><NA><NA><NA><NA>
590591물류주선업(국제)11_45_01_P62600006260000-63-20020081010<NA>3폐업30폐지<NA><NA><NA><NA>516313961<NA><NA><NA>부산광역시 중구 충장대로9번길 22, 202호 (중앙동4가,신도빌딩)<NA>(주)정해해운항공20181029000000U2018-10-31 02:38:23.0<NA><NA><NA>6260000국제물류주선업300000000<NA><NA><NA><NA><NA><NA>
591592물류주선업(국제)11_45_01_P62600006260000-63-40020101117<NA>3폐업30폐지20111228<NA><NA><NA>514653391<NA>600817부산광역시 중구 중앙동4가 81번지 13호 명성빌딩 405호부산광역시 중구 충장대로5번길 34, 405호 (중앙동4가,명성빌딩)<NA>(주)오리온티엘에스20111229000000U2018-11-03 04:00:00.0<NA><NA><NA>6260000국제물류주선업300000000<NA><NA><NA><NA><NA><NA>
592593물류주선업(국제)11_45_01_P62600006260000-63-13820010430<NA>3폐업30폐지20080124<NA><NA><NA>514621971<NA><NA>부산광역시 중구 중앙동4가 37번지 16호 동아제일빌딩 1001호부산광역시 중구 중앙대로81번길 9, 1001호 (중앙동4가,동아제일빌딩)<NA>(주)일진로지스틱20131230000000U2018-11-03 04:00:00.0<NA><NA><NA>6260000국제물류주선업300000000<NA><NA><NA><NA><NA><NA>
593594물류주선업(국제)11_45_01_P62600006260000-63-43320110414<NA>3폐업30폐지<NA><NA><NA><NA>514673360<NA><NA>부산광역시 중구 중앙동4가 78번지 18호 삼호빌딩 202호부산광역시 중구 충장대로9번길 45, 202호 (중앙동4가,삼호빌딩)<NA>(주)솔메이트해운항공20181029000000U2018-10-31 02:38:23.0<NA><NA><NA>6260000국제물류주선업300000000<NA><NA><NA><NA><NA><NA>
594595물류주선업(국제)11_45_01_P62600006260000-63-49220040923<NA>3폐업30폐지<NA><NA><NA><NA>514681326<NA><NA>부산광역시 중구 중앙동4가 78번지 1호 제일빌딩 502-B호부산광역시 중구 충장대로5번길 58, 502-B호 (중앙동4가,제일빌딩)<NA>마리타임허브(주)20171212000000U2018-11-03 04:00:00.0<NA><NA><NA>6260000국제물류주선업300000000<NA><NA><NA><NA><NA><NA>