Overview

Dataset statistics

Number of variables30
Number of observations4014
Missing cells28984
Missing cells (%)24.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1015.4 KiB
Average record size in memory259.0 B

Variable types

Numeric10
Categorical9
Text5
Unsupported5
DateTime1

Dataset

Description2021-05-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123005

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
영업상태구분코드 is highly imbalanced (50.5%)Imbalance
영업상태명 is highly imbalanced (50.5%)Imbalance
상세영업상태코드 is highly imbalanced (50.5%)Imbalance
상세영업상태명 is highly imbalanced (50.5%)Imbalance
휴업시작일자 is highly imbalanced (99.6%)Imbalance
휴업종료일자 is highly imbalanced (99.6%)Imbalance
인허가취소일자 has 4014 (100.0%) missing valuesMissing
폐업일자 has 2414 (60.1%) missing valuesMissing
재개업일자 has 4014 (100.0%) missing valuesMissing
소재지전화 has 1739 (43.3%) missing valuesMissing
소재지면적 has 4014 (100.0%) missing valuesMissing
소재지우편번호 has 2492 (62.1%) missing valuesMissing
소재지전체주소 has 799 (19.9%) missing valuesMissing
업태구분명 has 4014 (100.0%) missing valuesMissing
좌표정보(x) has 59 (1.5%) missing valuesMissing
좌표정보(y) has 59 (1.5%) missing valuesMissing
판매점영업면적 has 1346 (33.5%) missing valuesMissing
Unnamed: 29 has 4014 (100.0%) missing valuesMissing
판매점영업면적 is highly skewed (γ1 = 35.32363612)Skewed
번호 has unique valuesUnique
관리번호 has unique valuesUnique
최종수정시점 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 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
Unnamed: 29 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-17 01:12:35.733434
Analysis finished2024-04-17 01:12:36.754899
Duration1.02 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct4014
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2007.5
Minimum1
Maximum4014
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.4 KiB
2024-04-17T10:12:36.812886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile201.65
Q11004.25
median2007.5
Q33010.75
95-th percentile3813.35
Maximum4014
Range4013
Interquartile range (IQR)2006.5

Descriptive statistics

Standard deviation1158.8863
Coefficient of variation (CV)0.57727837
Kurtosis-1.2
Mean2007.5
Median Absolute Deviation (MAD)1003.5
Skewness0
Sum8058105
Variance1343017.5
MonotonicityStrictly increasing
2024-04-17T10:12:36.926456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2682 1
 
< 0.1%
2669 1
 
< 0.1%
2670 1
 
< 0.1%
2671 1
 
< 0.1%
2672 1
 
< 0.1%
2673 1
 
< 0.1%
2674 1
 
< 0.1%
2675 1
 
< 0.1%
2676 1
 
< 0.1%
Other values (4004) 4004
99.8%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
4014 1
< 0.1%
4013 1
< 0.1%
4012 1
< 0.1%
4011 1
< 0.1%
4010 1
< 0.1%
4009 1
< 0.1%
4008 1
< 0.1%
4007 1
< 0.1%
4006 1
< 0.1%
4005 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.5 KiB
안전상비의약품 판매업소
4014 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row안전상비의약품 판매업소
2nd row안전상비의약품 판매업소
3rd row안전상비의약품 판매업소
4th row안전상비의약품 판매업소
5th row안전상비의약품 판매업소

Common Values

ValueCountFrequency (%)
안전상비의약품 판매업소 4014
100.0%

Length

2024-04-17T10:12:37.035389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:12:37.111923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안전상비의약품 4014
50.0%
판매업소 4014
50.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.5 KiB
01_01_05_P
4014 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row01_01_05_P
2nd row01_01_05_P
3rd row01_01_05_P
4th row01_01_05_P
5th row01_01_05_P

Common Values

ValueCountFrequency (%)
01_01_05_P 4014
100.0%

Length

2024-04-17T10:12:37.187134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:12:37.264601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01_01_05_p 4014
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3330338.8
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.4 KiB
2024-04-17T10:12:37.345423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3260000
Q13300000
median3330000
Q33360000
95-th percentile3400000
Maximum3400000
Range150000
Interquartile range (IQR)60000

Descriptive statistics

Standard deviation40471.736
Coefficient of variation (CV)0.012152438
Kurtosis-0.89836
Mean3330338.8
Median Absolute Deviation (MAD)30000
Skewness-0.034229356
Sum1.336798 × 1010
Variance1.6379614 × 109
MonotonicityNot monotonic
2024-04-17T10:12:37.442682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3290000 501
12.5%
3330000 458
11.4%
3350000 332
 
8.3%
3340000 319
 
7.9%
3310000 283
 
7.1%
3300000 275
 
6.9%
3380000 266
 
6.6%
3370000 252
 
6.3%
3390000 251
 
6.3%
3320000 239
 
6.0%
Other values (6) 838
20.9%
ValueCountFrequency (%)
3250000 123
 
3.1%
3260000 136
 
3.4%
3270000 102
 
2.5%
3280000 98
 
2.4%
3290000 501
12.5%
3300000 275
6.9%
3310000 283
7.1%
3320000 239
6.0%
3330000 458
11.4%
3340000 319
7.9%
ValueCountFrequency (%)
3400000 211
5.3%
3390000 251
6.3%
3380000 266
6.6%
3370000 252
6.3%
3360000 168
 
4.2%
3350000 332
8.3%
3340000 319
7.9%
3330000 458
11.4%
3320000 239
6.0%
3310000 283
7.1%

관리번호
Text

UNIQUE 

Distinct4014
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size31.5 KiB
2024-04-17T10:12:37.614287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters100350
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4014 ?
Unique (%)100.0%

Sample

1st rowPHMH320183250021087500009
2nd rowPHMH320183250021087500010
3rd rowPHMH320183270022087500010
4th rowPHMH320183390023087500013
5th rowPHMH320183390023087500014
ValueCountFrequency (%)
phmh320183250021087500009 1
 
< 0.1%
phmh320163370022087500012 1
 
< 0.1%
phmh320153370022087500018 1
 
< 0.1%
phmh320153370022087500019 1
 
< 0.1%
phmh320163370022087500021 1
 
< 0.1%
phmh320153370022087500021 1
 
< 0.1%
phmh320153370022087500022 1
 
< 0.1%
phmh320153370022087500023 1
 
< 0.1%
phmh320153370022087500024 1
 
< 0.1%
phmh320163370022087500001 1
 
< 0.1%
Other values (4004) 4004
99.8%
2024-04-17T10:12:37.883151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 30532
30.4%
3 13274
13.2%
2 11971
 
11.9%
H 8028
 
8.0%
1 5937
 
5.9%
5 5922
 
5.9%
7 5235
 
5.2%
8 5133
 
5.1%
P 4014
 
4.0%
M 4014
 
4.0%
Other values (3) 6290
 
6.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 84294
84.0%
Uppercase Letter 16056
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 30532
36.2%
3 13274
15.7%
2 11971
 
14.2%
1 5937
 
7.0%
5 5922
 
7.0%
7 5235
 
6.2%
8 5133
 
6.1%
4 3616
 
4.3%
9 1511
 
1.8%
6 1163
 
1.4%
Uppercase Letter
ValueCountFrequency (%)
H 8028
50.0%
P 4014
25.0%
M 4014
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 84294
84.0%
Latin 16056
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 30532
36.2%
3 13274
15.7%
2 11971
 
14.2%
1 5937
 
7.0%
5 5922
 
7.0%
7 5235
 
6.2%
8 5133
 
6.1%
4 3616
 
4.3%
9 1511
 
1.8%
6 1163
 
1.4%
Latin
ValueCountFrequency (%)
H 8028
50.0%
P 4014
25.0%
M 4014
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 100350
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 30532
30.4%
3 13274
13.2%
2 11971
 
11.9%
H 8028
 
8.0%
1 5937
 
5.9%
5 5922
 
5.9%
7 5235
 
5.2%
8 5133
 
5.1%
P 4014
 
4.0%
M 4014
 
4.0%
Other values (3) 6290
 
6.3%

인허가일자
Real number (ℝ)

Distinct1486
Distinct (%)37.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20156523
Minimum20120113
Maximum20210330
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.4 KiB
2024-04-17T10:12:38.006382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20120113
5-th percentile20121109
Q120121205
median20160203
Q320180723
95-th percentile20200916
Maximum20210330
Range90217
Interquartile range (IQR)59518

Descriptive statistics

Standard deviation29093.15
Coefficient of variation (CV)0.0014433616
Kurtosis-1.3425057
Mean20156523
Median Absolute Deviation (MAD)29975
Skewness0.15920447
Sum8.0908282 × 1010
Variance8.4641137 × 108
MonotonicityNot monotonic
2024-04-17T10:12:38.117354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20121112 182
 
4.5%
20121109 124
 
3.1%
20121114 118
 
2.9%
20121115 117
 
2.9%
20121113 109
 
2.7%
20121116 99
 
2.5%
20121108 66
 
1.6%
20121107 45
 
1.1%
20121106 34
 
0.8%
20121110 22
 
0.5%
Other values (1476) 3098
77.2%
ValueCountFrequency (%)
20120113 1
 
< 0.1%
20120307 1
 
< 0.1%
20121031 1
 
< 0.1%
20121102 2
 
< 0.1%
20121105 20
 
0.5%
20121106 34
 
0.8%
20121107 45
 
1.1%
20121108 66
1.6%
20121109 124
3.1%
20121110 22
 
0.5%
ValueCountFrequency (%)
20210330 2
< 0.1%
20210329 1
 
< 0.1%
20210325 1
 
< 0.1%
20210323 1
 
< 0.1%
20210319 3
0.1%
20210318 1
 
< 0.1%
20210317 1
 
< 0.1%
20210316 2
< 0.1%
20210315 3
0.1%
20210312 1
 
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4014
Missing (%)100.0%
Memory size35.4 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.5 KiB
1
2412 
3
1594 
4
 
6
2
 
2

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 2412
60.1%
3 1594
39.7%
4 6
 
0.1%
2 2
 
< 0.1%

Length

2024-04-17T10:12:38.217064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:12:38.302342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 2412
60.1%
3 1594
39.7%
4 6
 
0.1%
2 2
 
< 0.1%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.5 KiB
영업/정상
2412 
폐업
1594 
취소/말소/만료/정지/중지
 
6
휴업
 
2

Length

Max length14
Median length5
Mean length3.8206278
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 2412
60.1%
폐업 1594
39.7%
취소/말소/만료/정지/중지 6
 
0.1%
휴업 2
 
< 0.1%

Length

2024-04-17T10:12:38.393895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:12:38.478135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 2412
60.1%
폐업 1594
39.7%
취소/말소/만료/정지/중지 6
 
0.1%
휴업 2
 
< 0.1%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.5 KiB
13
2412 
3
1594 
24
 
6
2
 
2

Length

Max length2
Median length2
Mean length1.6023916
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row13
2nd row13
3rd row13
4th row13
5th row13

Common Values

ValueCountFrequency (%)
13 2412
60.1%
3 1594
39.7%
24 6
 
0.1%
2 2
 
< 0.1%

Length

2024-04-17T10:12:38.570140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:12:38.677998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 2412
60.1%
3 1594
39.7%
24 6
 
0.1%
2 2
 
< 0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.5 KiB
영업중
2412 
폐업
1594 
직권폐업
 
6
휴업
 
2

Length

Max length4
Median length3
Mean length2.6038864
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 2412
60.1%
폐업 1594
39.7%
직권폐업 6
 
0.1%
휴업 2
 
< 0.1%

Length

2024-04-17T10:12:38.787065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:12:38.880267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 2412
60.1%
폐업 1594
39.7%
직권폐업 6
 
0.1%
휴업 2
 
< 0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct1023
Distinct (%)63.9%
Missing2414
Missing (%)60.1%
Infinite0
Infinite (%)0.0%
Mean20171667
Minimum20120226
Maximum20210401
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.4 KiB
2024-04-17T10:12:38.979469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20120226
5-th percentile20130798
Q120150812
median20180106
Q320190820
95-th percentile20201134
Maximum20210401
Range90175
Interquartile range (IQR)40007.5

Descriptive statistics

Standard deviation23701.731
Coefficient of variation (CV)0.0011750011
Kurtosis-1.0360104
Mean20171667
Median Absolute Deviation (MAD)19681.5
Skewness-0.31597124
Sum3.2274667 × 1010
Variance5.6177207 × 108
MonotonicityNot monotonic
2024-04-17T10:12:39.095886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20121115 8
 
0.2%
20180625 6
 
0.1%
20180430 6
 
0.1%
20170929 5
 
0.1%
20190828 5
 
0.1%
20171229 5
 
0.1%
20140530 5
 
0.1%
20161228 5
 
0.1%
20190701 5
 
0.1%
20180228 5
 
0.1%
Other values (1013) 1545
38.5%
(Missing) 2414
60.1%
ValueCountFrequency (%)
20120226 1
 
< 0.1%
20121115 8
0.2%
20121116 3
 
0.1%
20121122 1
 
< 0.1%
20121127 1
 
< 0.1%
20121129 1
 
< 0.1%
20121217 1
 
< 0.1%
20121220 1
 
< 0.1%
20121221 3
 
0.1%
20121231 2
 
< 0.1%
ValueCountFrequency (%)
20210401 1
< 0.1%
20210331 2
< 0.1%
20210329 1
< 0.1%
20210325 1
< 0.1%
20210324 1
< 0.1%
20210318 1
< 0.1%
20210317 1
< 0.1%
20210315 1
< 0.1%
20210314 1
< 0.1%
20210312 1
< 0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.5 KiB
<NA>
4012 
20190424
 
1
20200331
 
1

Length

Max length8
Median length4
Mean length4.001993
Min length4

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4012
> 99.9%
20190424 1
 
< 0.1%
20200331 1
 
< 0.1%

Length

2024-04-17T10:12:39.205158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:12:39.291580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4012
> 99.9%
20190424 1
 
< 0.1%
20200331 1
 
< 0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.5 KiB
<NA>
4012 
20211231
 
1
20210331
 
1

Length

Max length8
Median length4
Mean length4.001993
Min length4

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4012
> 99.9%
20211231 1
 
< 0.1%
20210331 1
 
< 0.1%

Length

2024-04-17T10:12:39.390502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:12:39.484566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4012
> 99.9%
20211231 1
 
< 0.1%
20210331 1
 
< 0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4014
Missing (%)100.0%
Memory size35.4 KiB

소재지전화
Text

MISSING 

Distinct1995
Distinct (%)87.7%
Missing1739
Missing (%)43.3%
Memory size31.5 KiB
2024-04-17T10:12:39.675961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.837363
Min length4

Characters and Unicode

Total characters24655
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1767 ?
Unique (%)77.7%

Sample

1st row051-231-9934
2nd row051-947-1714
3rd row051-606-0600
4th row051-631-1227
5th row051-365-0045
ValueCountFrequency (%)
051 17
 
0.7%
1577-9621 5
 
0.2%
051-805-5535 4
 
0.2%
080-080-3663 4
 
0.2%
051-741-3338 4
 
0.2%
517-5744 3
 
0.1%
051-292-9444 3
 
0.1%
051-746-6928 3
 
0.1%
051-342-7902 3
 
0.1%
051-338-0776 3
 
0.1%
Other values (1987) 2232
97.9%
2024-04-17T10:12:40.203378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 3789
15.4%
5 3340
13.5%
1 3251
13.2%
0 3147
12.8%
2 2067
8.4%
7 1734
7.0%
3 1706
6.9%
6 1565
6.3%
8 1527
6.2%
4 1385
 
5.6%
Other values (4) 1144
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 20772
84.3%
Dash Punctuation 3789
 
15.4%
Close Punctuation 79
 
0.3%
Other Punctuation 9
 
< 0.1%
Space Separator 6
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 3340
16.1%
1 3251
15.7%
0 3147
15.2%
2 2067
10.0%
7 1734
8.3%
3 1706
8.2%
6 1565
7.5%
8 1527
7.4%
4 1385
6.7%
9 1050
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 3789
100.0%
Close Punctuation
ValueCountFrequency (%)
) 79
100.0%
Other Punctuation
ValueCountFrequency (%)
. 9
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24655
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 3789
15.4%
5 3340
13.5%
1 3251
13.2%
0 3147
12.8%
2 2067
8.4%
7 1734
7.0%
3 1706
6.9%
6 1565
6.3%
8 1527
6.2%
4 1385
 
5.6%
Other values (4) 1144
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24655
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 3789
15.4%
5 3340
13.5%
1 3251
13.2%
0 3147
12.8%
2 2067
8.4%
7 1734
7.0%
3 1706
6.9%
6 1565
6.3%
8 1527
6.2%
4 1385
 
5.6%
Other values (4) 1144
 
4.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4014
Missing (%)100.0%
Memory size35.4 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct568
Distinct (%)37.3%
Missing2492
Missing (%)62.1%
Infinite0
Infinite (%)0.0%
Mean607309.64
Minimum46067
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.4 KiB
2024-04-17T10:12:40.341470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46067
5-th percentile601808
Q1607825.25
median611817
Q3613828.75
95-th percentile616852
Maximum619963
Range573896
Interquartile range (IQR)6003.5

Descriptive statistics

Standard deviation43490.084
Coefficient of variation (CV)0.071611056
Kurtosis161.04255
Mean607309.64
Median Absolute Deviation (MAD)3012
Skewness-12.689905
Sum9.2432527 × 108
Variance1.8913874 × 109
MonotonicityNot monotonic
2024-04-17T10:12:40.448720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
612821 21
 
0.5%
604851 18
 
0.4%
614847 17
 
0.4%
614846 17
 
0.4%
609837 15
 
0.4%
612842 15
 
0.4%
612847 15
 
0.4%
608811 15
 
0.4%
614803 14
 
0.3%
612836 14
 
0.3%
Other values (558) 1361
33.9%
(Missing) 2492
62.1%
ValueCountFrequency (%)
46067 1
< 0.1%
46217 1
< 0.1%
46235 1
< 0.1%
46243 1
< 0.1%
46249 1
< 0.1%
46702 1
< 0.1%
46957 1
< 0.1%
47351 1
< 0.1%
48106 1
< 0.1%
600012 1
< 0.1%
ValueCountFrequency (%)
619963 5
0.1%
619962 2
 
< 0.1%
619961 4
0.1%
619951 3
0.1%
619906 2
 
< 0.1%
619904 1
 
< 0.1%
618819 1
 
< 0.1%
618815 1
 
< 0.1%
618814 1
 
< 0.1%
618807 2
 
< 0.1%

소재지전체주소
Text

MISSING 

Distinct2633
Distinct (%)81.9%
Missing799
Missing (%)19.9%
Memory size31.5 KiB
2024-04-17T10:12:40.731885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length48
Mean length24.0986
Min length12

Characters and Unicode

Total characters77477
Distinct characters429
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2188 ?
Unique (%)68.1%

Sample

1st row부산광역시 중구 남포동5가 8번지 1호
2nd row부산광역시 중구 대청동1가 37번지 1호 코모도에스테이트
3rd row부산광역시 동구 초량동 754번지 348호
4th row부산광역시 해운대구 중동 1400번지 24호 호텔마리안느
5th row부산광역시 남구 문현동 127번지 55호 아우성책비디오
ValueCountFrequency (%)
부산광역시 3212
 
19.4%
1호 526
 
3.2%
해운대구 437
 
2.6%
부산진구 395
 
2.4%
금정구 316
 
1.9%
동래구 272
 
1.6%
수영구 251
 
1.5%
사하구 247
 
1.5%
연제구 242
 
1.5%
남구 236
 
1.4%
Other values (2437) 10413
62.9%
2024-04-17T10:12:41.157187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13346
17.2%
산 3954
 
5.1%
부 3847
 
5.0%
동 3659
 
4.7%
1 3544
 
4.6%
광 3359
 
4.3%
시 3267
 
4.2%
구 3233
 
4.2%
역 3230
 
4.2%
지 3050
 
3.9%
Other values (419) 32988
42.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 48811
63.0%
Decimal Number 14928
 
19.3%
Space Separator 13346
 
17.2%
Dash Punctuation 223
 
0.3%
Uppercase Letter 105
 
0.1%
Other Punctuation 23
 
< 0.1%
Math Symbol 11
 
< 0.1%
Lowercase Letter 11
 
< 0.1%
Close Punctuation 9
 
< 0.1%
Open Punctuation 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 3954
 
8.1%
부 3847
 
7.9%
동 3659
 
7.5%
광 3359
 
6.9%
시 3267
 
6.7%
구 3233
 
6.6%
역 3230
 
6.6%
지 3050
 
6.2%
번 2898
 
5.9%
호 2831
 
5.8%
Other values (376) 15483
31.7%
Uppercase Letter
ValueCountFrequency (%)
S 16
15.2%
C 12
11.4%
A 9
 
8.6%
B 8
 
7.6%
K 7
 
6.7%
D 6
 
5.7%
G 5
 
4.8%
Y 5
 
4.8%
O 4
 
3.8%
T 4
 
3.8%
Other values (10) 29
27.6%
Decimal Number
ValueCountFrequency (%)
1 3544
23.7%
2 1989
13.3%
3 1580
10.6%
4 1447
9.7%
5 1277
 
8.6%
0 1164
 
7.8%
6 1081
 
7.2%
7 1042
 
7.0%
8 938
 
6.3%
9 866
 
5.8%
Other Punctuation
ValueCountFrequency (%)
, 18
78.3%
· 2
 
8.7%
. 2
 
8.7%
& 1
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
e 8
72.7%
n 2
 
18.2%
k 1
 
9.1%
Space Separator
ValueCountFrequency (%)
13346
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 223
100.0%
Math Symbol
ValueCountFrequency (%)
~ 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 48811
63.0%
Common 28549
36.8%
Latin 117
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 3954
 
8.1%
부 3847
 
7.9%
동 3659
 
7.5%
광 3359
 
6.9%
시 3267
 
6.7%
구 3233
 
6.6%
역 3230
 
6.6%
지 3050
 
6.2%
번 2898
 
5.9%
호 2831
 
5.8%
Other values (376) 15483
31.7%
Latin
ValueCountFrequency (%)
S 16
13.7%
C 12
 
10.3%
A 9
 
7.7%
e 8
 
6.8%
B 8
 
6.8%
K 7
 
6.0%
D 6
 
5.1%
G 5
 
4.3%
Y 5
 
4.3%
O 4
 
3.4%
Other values (14) 37
31.6%
Common
ValueCountFrequency (%)
13346
46.7%
1 3544
 
12.4%
2 1989
 
7.0%
3 1580
 
5.5%
4 1447
 
5.1%
5 1277
 
4.5%
0 1164
 
4.1%
6 1081
 
3.8%
7 1042
 
3.6%
8 938
 
3.3%
Other values (9) 1141
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 48811
63.0%
ASCII 28663
37.0%
None 2
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13346
46.6%
1 3544
 
12.4%
2 1989
 
6.9%
3 1580
 
5.5%
4 1447
 
5.0%
5 1277
 
4.5%
0 1164
 
4.1%
6 1081
 
3.8%
7 1042
 
3.6%
8 938
 
3.3%
Other values (31) 1255
 
4.4%
Hangul
ValueCountFrequency (%)
산 3954
 
8.1%
부 3847
 
7.9%
동 3659
 
7.5%
광 3359
 
6.9%
시 3267
 
6.7%
구 3233
 
6.6%
역 3230
 
6.6%
지 3050
 
6.2%
번 2898
 
5.9%
호 2831
 
5.8%
Other values (376) 15483
31.7%
None
ValueCountFrequency (%)
· 2
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

도로명전체주소
Text

Distinct3389
Distinct (%)84.5%
Missing2
Missing (%)< 0.1%
Memory size31.5 KiB
2024-04-17T10:12:41.457391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length56
Mean length30.144816
Min length19

Characters and Unicode

Total characters120941
Distinct characters504
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2897 ?
Unique (%)72.2%

Sample

1st row부산광역시 중구 구덕로 54-1, 포레호텔 1층 (남포동5가)
2nd row부산광역시 중구 대청로 121-1 (대청동1가, 코모도에스테이트)
3rd row부산광역시 동구 망양로 608, 2층 (초량동)
4th row부산광역시 사상구 광장로104번길 19 (괘법동)
5th row부산광역시 사상구 낙동대로 988 (감전동)
ValueCountFrequency (%)
부산광역시 4011
 
17.1%
1층 664
 
2.8%
부산진구 501
 
2.1%
해운대구 457
 
2.0%
금정구 332
 
1.4%
사하구 319
 
1.4%
남구 282
 
1.2%
동래구 275
 
1.2%
수영구 266
 
1.1%
연제구 252
 
1.1%
Other values (3480) 16060
68.6%
2024-04-17T10:12:41.875916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19407
 
16.0%
1 5127
 
4.2%
동 5122
 
4.2%
산 5042
 
4.2%
부 4882
 
4.0%
광 4343
 
3.6%
시 4258
 
3.5%
구 4053
 
3.4%
역 4037
 
3.3%
로 3974
 
3.3%
Other values (494) 60696
50.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 72026
59.6%
Space Separator 19407
 
16.0%
Decimal Number 18578
 
15.4%
Open Punctuation 3869
 
3.2%
Close Punctuation 3869
 
3.2%
Other Punctuation 2509
 
2.1%
Dash Punctuation 423
 
0.3%
Uppercase Letter 213
 
0.2%
Lowercase Letter 23
 
< 0.1%
Math Symbol 22
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 5122
 
7.1%
산 5042
 
7.0%
부 4882
 
6.8%
광 4343
 
6.0%
시 4258
 
5.9%
구 4053
 
5.6%
역 4037
 
5.6%
로 3974
 
5.5%
대 2033
 
2.8%
길 1599
 
2.2%
Other values (442) 32683
45.4%
Uppercase Letter
ValueCountFrequency (%)
B 38
17.8%
A 26
12.2%
S 25
11.7%
C 19
 
8.9%
K 10
 
4.7%
D 10
 
4.7%
I 9
 
4.2%
H 8
 
3.8%
W 8
 
3.8%
G 8
 
3.8%
Other values (12) 52
24.4%
Decimal Number
ValueCountFrequency (%)
1 5127
27.6%
2 2552
13.7%
0 2044
 
11.0%
3 1804
 
9.7%
4 1482
 
8.0%
5 1286
 
6.9%
6 1200
 
6.5%
7 1124
 
6.1%
9 1001
 
5.4%
8 958
 
5.2%
Lowercase Letter
ValueCountFrequency (%)
e 13
56.5%
n 3
 
13.0%
l 1
 
4.3%
v 1
 
4.3%
o 1
 
4.3%
d 1
 
4.3%
a 1
 
4.3%
k 1
 
4.3%
y 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 2500
99.6%
· 4
 
0.2%
. 4
 
0.2%
& 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
19407
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3869
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3869
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 423
100.0%
Math Symbol
ValueCountFrequency (%)
~ 22
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 72026
59.6%
Common 48678
40.2%
Latin 237
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 5122
 
7.1%
산 5042
 
7.0%
부 4882
 
6.8%
광 4343
 
6.0%
시 4258
 
5.9%
구 4053
 
5.6%
역 4037
 
5.6%
로 3974
 
5.5%
대 2033
 
2.8%
길 1599
 
2.2%
Other values (442) 32683
45.4%
Latin
ValueCountFrequency (%)
B 38
16.0%
A 26
 
11.0%
S 25
 
10.5%
C 19
 
8.0%
e 13
 
5.5%
K 10
 
4.2%
D 10
 
4.2%
I 9
 
3.8%
H 8
 
3.4%
W 8
 
3.4%
Other values (22) 71
30.0%
Common
ValueCountFrequency (%)
19407
39.9%
1 5127
 
10.5%
( 3869
 
7.9%
) 3869
 
7.9%
2 2552
 
5.2%
, 2500
 
5.1%
0 2044
 
4.2%
3 1804
 
3.7%
4 1482
 
3.0%
5 1286
 
2.6%
Other values (10) 4738
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 72026
59.6%
ASCII 48910
40.4%
None 4
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19407
39.7%
1 5127
 
10.5%
( 3869
 
7.9%
) 3869
 
7.9%
2 2552
 
5.2%
, 2500
 
5.1%
0 2044
 
4.2%
3 1804
 
3.7%
4 1482
 
3.0%
5 1286
 
2.6%
Other values (40) 4970
 
10.2%
Hangul
ValueCountFrequency (%)
동 5122
 
7.1%
산 5042
 
7.0%
부 4882
 
6.8%
광 4343
 
6.0%
시 4258
 
5.9%
구 4053
 
5.6%
역 4037
 
5.6%
로 3974
 
5.5%
대 2033
 
2.8%
길 1599
 
2.2%
Other values (442) 32683
45.4%
None
ValueCountFrequency (%)
· 4
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

도로명우편번호
Real number (ℝ)

Distinct1548
Distinct (%)38.6%
Missing4
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean105948.16
Minimum46002
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.4 KiB
2024-04-17T10:12:41.988816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46002
5-th percentile46213
Q147006.25
median47893
Q348935
95-th percentile612820.55
Maximum619963
Range573961
Interquartile range (IQR)1928.75

Descriptive statistics

Standard deviation171614.3
Coefficient of variation (CV)1.619795
Kurtosis4.8102742
Mean105948.16
Median Absolute Deviation (MAD)918
Skewness2.6088532
Sum4.2485212 × 108
Variance2.9451467 × 1010
MonotonicityNot monotonic
2024-04-17T10:12:42.094163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46726 33
 
0.8%
48094 27
 
0.7%
46759 21
 
0.5%
48059 20
 
0.5%
48099 17
 
0.4%
47520 17
 
0.4%
48095 17
 
0.4%
48953 16
 
0.4%
47209 16
 
0.4%
47296 15
 
0.4%
Other values (1538) 3811
94.9%
ValueCountFrequency (%)
46002 2
 
< 0.1%
46007 4
 
0.1%
46008 9
0.2%
46009 1
 
< 0.1%
46010 1
 
< 0.1%
46012 2
 
< 0.1%
46013 5
0.1%
46014 1
 
< 0.1%
46015 12
0.3%
46016 4
 
0.1%
ValueCountFrequency (%)
619963 5
0.1%
619962 2
 
< 0.1%
619961 3
0.1%
619952 2
 
< 0.1%
619951 1
 
< 0.1%
619913 1
 
< 0.1%
619906 1
 
< 0.1%
619905 3
0.1%
619904 1
 
< 0.1%
619903 1
 
< 0.1%

사업장명
Text

Distinct3492
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Memory size31.5 KiB
2024-04-17T10:12:42.372069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length10.314649
Min length2

Characters and Unicode

Total characters41403
Distinct characters511
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3077 ?
Unique (%)76.7%

Sample

1st row씨유 부산포레호텔점
2nd row세븐일레븐 부산코모도점
3rd row씨유 초량망양로점
4th row이마트24사상중앙점
5th row씨유감전낙동대로점
ValueCountFrequency (%)
gs25 562
 
8.5%
씨유 562
 
8.5%
세븐일레븐 400
 
6.1%
미니스톱 230
 
3.5%
cu 149
 
2.3%
주)코리아세븐 135
 
2.0%
지에스(gs)25 124
 
1.9%
지에스25 87
 
1.3%
이마트24 56
 
0.8%
씨스페이스 22
 
0.3%
Other values (3276) 4281
64.8%
2024-04-17T10:12:42.777711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 3842
 
9.3%
2595
 
6.3%
2 1496
 
3.6%
5 1333
 
3.2%
븐 1290
 
3.1%
산 1201
 
2.9%
S 1195
 
2.9%
G 1161
 
2.8%
씨 1103
 
2.7%
유 1097
 
2.6%
Other values (501) 25090
60.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31871
77.0%
Decimal Number 2989
 
7.2%
Uppercase Letter 2963
 
7.2%
Space Separator 2595
 
6.3%
Close Punctuation 469
 
1.1%
Open Punctuation 467
 
1.1%
Lowercase Letter 40
 
0.1%
Other Punctuation 5
 
< 0.1%
Other Symbol 2
 
< 0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 3842
 
12.1%
븐 1290
 
4.0%
산 1201
 
3.8%
씨 1103
 
3.5%
유 1097
 
3.4%
부 1087
 
3.4%
스 907
 
2.8%
세 761
 
2.4%
일 750
 
2.4%
대 661
 
2.1%
Other values (457) 19172
60.2%
Uppercase Letter
ValueCountFrequency (%)
S 1195
40.3%
G 1161
39.2%
C 258
 
8.7%
U 255
 
8.6%
K 36
 
1.2%
N 10
 
0.3%
R 10
 
0.3%
H 8
 
0.3%
L 7
 
0.2%
B 5
 
0.2%
Other values (7) 18
 
0.6%
Decimal Number
ValueCountFrequency (%)
2 1496
50.1%
5 1333
44.6%
4 115
 
3.8%
3 20
 
0.7%
1 18
 
0.6%
0 2
 
0.1%
6 2
 
0.1%
8 1
 
< 0.1%
7 1
 
< 0.1%
9 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
u 8
20.0%
c 8
20.0%
e 6
15.0%
m 4
10.0%
a 4
10.0%
t 3
 
7.5%
r 3
 
7.5%
l 2
 
5.0%
o 1
 
2.5%
i 1
 
2.5%
Other Punctuation
ValueCountFrequency (%)
. 3
60.0%
, 2
40.0%
Space Separator
ValueCountFrequency (%)
2595
100.0%
Close Punctuation
ValueCountFrequency (%)
) 469
100.0%
Open Punctuation
ValueCountFrequency (%)
( 467
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31873
77.0%
Common 6527
 
15.8%
Latin 3003
 
7.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 3842
 
12.1%
븐 1290
 
4.0%
산 1201
 
3.8%
씨 1103
 
3.5%
유 1097
 
3.4%
부 1087
 
3.4%
스 907
 
2.8%
세 761
 
2.4%
일 750
 
2.4%
대 661
 
2.1%
Other values (458) 19174
60.2%
Latin
ValueCountFrequency (%)
S 1195
39.8%
G 1161
38.7%
C 258
 
8.6%
U 255
 
8.5%
K 36
 
1.2%
N 10
 
0.3%
R 10
 
0.3%
u 8
 
0.3%
c 8
 
0.3%
H 8
 
0.3%
Other values (17) 54
 
1.8%
Common
ValueCountFrequency (%)
2595
39.8%
2 1496
22.9%
5 1333
20.4%
) 469
 
7.2%
( 467
 
7.2%
4 115
 
1.8%
3 20
 
0.3%
1 18
 
0.3%
. 3
 
< 0.1%
0 2
 
< 0.1%
Other values (6) 9
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31870
77.0%
ASCII 9530
 
23.0%
None 2
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 3842
 
12.1%
븐 1290
 
4.0%
산 1201
 
3.8%
씨 1103
 
3.5%
유 1097
 
3.4%
부 1087
 
3.4%
스 907
 
2.8%
세 761
 
2.4%
일 750
 
2.4%
대 661
 
2.1%
Other values (456) 19171
60.2%
ASCII
ValueCountFrequency (%)
2595
27.2%
2 1496
15.7%
5 1333
14.0%
S 1195
12.5%
G 1161
12.2%
) 469
 
4.9%
( 467
 
4.9%
C 258
 
2.7%
U 255
 
2.7%
4 115
 
1.2%
Other values (33) 186
 
2.0%
None
ValueCountFrequency (%)
㈜ 2
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅁ 1
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct4014
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0172649 × 1013
Minimum2.0130712 × 1013
Maximum2.0210331 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.4 KiB
2024-04-17T10:12:42.897884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0130712 × 1013
5-th percentile2.013082 × 1013
Q12.0150922 × 1013
median2.0180111 × 1013
Q32.0191017 × 1013
95-th percentile2.0201212 × 1013
Maximum2.0210331 × 1013
Range7.9619083 × 1010
Interquartile range (IQR)4.0094997 × 1010

Descriptive statistics

Standard deviation2.3973237 × 1010
Coefficient of variation (CV)0.001188403
Kurtosis-1.1165677
Mean2.0172649 × 1013
Median Absolute Deviation (MAD)1.9791478 × 1010
Skewness-0.30859054
Sum8.0973012 × 1016
Variance5.7471607 × 1020
MonotonicityNot monotonic
2024-04-17T10:12:43.019629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20181102155609 1
 
< 0.1%
20200226114337 1
 
< 0.1%
20180830143531 1
 
< 0.1%
20191217104306 1
 
< 0.1%
20160125131521 1
 
< 0.1%
20190816175753 1
 
< 0.1%
20150212101044 1
 
< 0.1%
20180430171529 1
 
< 0.1%
20161227133705 1
 
< 0.1%
20170921153641 1
 
< 0.1%
Other values (4004) 4004
99.8%
ValueCountFrequency (%)
20130712102308 1
< 0.1%
20130712102831 1
< 0.1%
20130712103149 1
< 0.1%
20130712104533 1
< 0.1%
20130712110216 1
< 0.1%
20130712112556 1
< 0.1%
20130712133251 1
< 0.1%
20130712134749 1
< 0.1%
20130712152901 1
< 0.1%
20130712155855 1
< 0.1%
ValueCountFrequency (%)
20210331185330 1
< 0.1%
20210331144035 1
< 0.1%
20210331141926 1
< 0.1%
20210331122548 1
< 0.1%
20210331093611 1
< 0.1%
20210330155847 1
< 0.1%
20210330145701 1
< 0.1%
20210330143927 1
< 0.1%
20210329145738 1
< 0.1%
20210329113901 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.5 KiB
I
3069 
U
945 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 3069
76.5%
U 945
 
23.5%

Length

2024-04-17T10:12:43.132288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:12:43.212679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 3069
76.5%
u 945
 
23.5%

데이터갱신일자
Date

Distinct860
Distinct (%)21.4%
Missing0
Missing (%)0.0%
Memory size31.5 KiB
Minimum2018-08-31 23:59:59
Maximum2021-04-02 02:40:00
2024-04-17T10:12:43.302611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T10:12:43.417476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4014
Missing (%)100.0%
Memory size35.4 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct2770
Distinct (%)70.0%
Missing59
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean388050.22
Minimum204412.09
Maximum407507.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.4 KiB
2024-04-17T10:12:43.543753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum204412.09
5-th percentile378905.93
Q1383926.73
median388616.46
Q3391908.58
95-th percentile398363.11
Maximum407507.94
Range203095.85
Interquartile range (IQR)7981.8506

Descriptive statistics

Standard deviation6989.1207
Coefficient of variation (CV)0.018010866
Kurtosis120.15834
Mean388050.22
Median Absolute Deviation (MAD)3819.413
Skewness-4.7619895
Sum1.5347386 × 109
Variance48847808
MonotonicityNot monotonic
2024-04-17T10:12:43.665977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
395164.437852508 8
 
0.2%
397340.061979116 7
 
0.2%
392084.650637222 6
 
0.1%
383016.00546371 6
 
0.1%
384022.032307615 6
 
0.1%
394189.376691755 6
 
0.1%
392515.689667818 6
 
0.1%
390319.190942807 5
 
0.1%
398377.77044139 5
 
0.1%
388835.908987088 5
 
0.1%
Other values (2760) 3895
97.0%
(Missing) 59
 
1.5%
ValueCountFrequency (%)
204412.090101 1
< 0.1%
364927.696730227 1
< 0.1%
365093.676617096 1
< 0.1%
365435.915352944 1
< 0.1%
365516.723543485 1
< 0.1%
366543.906759876 2
< 0.1%
366621.372636583 2
< 0.1%
366799.216536177 1
< 0.1%
366968.227030643 1
< 0.1%
367051.926419356 1
< 0.1%
ValueCountFrequency (%)
407507.938658253 1
< 0.1%
407446.416940698 1
< 0.1%
407395.443826031 1
< 0.1%
407264.362203548 1
< 0.1%
407053.470375168 1
< 0.1%
405385.675629727 2
< 0.1%
404398.60483132 1
< 0.1%
404248.383702356 2
< 0.1%
404100.735621822 2
< 0.1%
403987.053318853 1
< 0.1%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct2772
Distinct (%)70.1%
Missing59
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean187354.47
Minimum169703.39
Maximum445110.29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.4 KiB
2024-04-17T10:12:43.778985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum169703.39
5-th percentile177983.32
Q1183481.94
median186914.25
Q3190998.91
95-th percentile197697.42
Maximum445110.29
Range275406.89
Interquartile range (IQR)7516.9677

Descriptive statistics

Standard deviation7356.3222
Coefficient of variation (CV)0.039264195
Kurtosis380.46136
Mean187354.47
Median Absolute Deviation (MAD)3856.3436
Skewness11.155647
Sum7.4098691 × 108
Variance54115477
MonotonicityNot monotonic
2024-04-17T10:12:43.884138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
186231.014715022 8
 
0.2%
186699.763267637 7
 
0.2%
186104.560408303 6
 
0.1%
187747.442298015 6
 
0.1%
196112.065133691 6
 
0.1%
185058.950891149 6
 
0.1%
183481.94111857 6
 
0.1%
196001.045065377 5
 
0.1%
186402.69058778 5
 
0.1%
191376.557933028 5
 
0.1%
Other values (2762) 3895
97.0%
(Missing) 59
 
1.5%
ValueCountFrequency (%)
169703.393912171 1
< 0.1%
170813.584718477 1
< 0.1%
170855.583516334 1
< 0.1%
171651.683726624 1
< 0.1%
171677.306052053 1
< 0.1%
173751.794345377 1
< 0.1%
173895.655729558 1
< 0.1%
173982.009447475 1
< 0.1%
174087.295724335 1
< 0.1%
174289.976688419 2
< 0.1%
ValueCountFrequency (%)
445110.286986 1
< 0.1%
211459.001777975 2
< 0.1%
210945.104382171 2
< 0.1%
208906.876551 1
< 0.1%
206821.489013 1
< 0.1%
206576.725149 1
< 0.1%
206512.517255249 1
< 0.1%
206426.679067 2
< 0.1%
206423.253753 2
< 0.1%
206319.0 2
< 0.1%

판매점영업면적
Real number (ℝ)

MISSING  SKEWED 

Distinct604
Distinct (%)22.6%
Missing1346
Missing (%)33.5%
Infinite0
Infinite (%)0.0%
Mean74.905334
Minimum3
Maximum4038
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.4 KiB
2024-04-17T10:12:43.996992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile33
Q149.5
median66
Q388
95-th percentile134.4205
Maximum4038
Range4035
Interquartile range (IQR)38.5

Descriptive statistics

Standard deviation87.706466
Coefficient of variation (CV)1.1708975
Kurtosis1569.0778
Mean74.905334
Median Absolute Deviation (MAD)16.5
Skewness35.323636
Sum199847.43
Variance7692.4241
MonotonicityNot monotonic
2024-04-17T10:12:44.109164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
66.0 228
 
5.7%
49.5 198
 
4.9%
99.0 91
 
2.3%
82.5 70
 
1.7%
33.0 69
 
1.7%
60.0 55
 
1.4%
59.4 55
 
1.4%
50.0 45
 
1.1%
100.0 40
 
1.0%
132.0 36
 
0.9%
Other values (594) 1781
44.4%
(Missing) 1346
33.5%
ValueCountFrequency (%)
3.0 1
 
< 0.1%
3.3 7
0.2%
3.5 4
0.1%
4.85 1
 
< 0.1%
5.4 1
 
< 0.1%
6.6 3
0.1%
13.2 1
 
< 0.1%
15.0 1
 
< 0.1%
16.12 1
 
< 0.1%
16.5 4
0.1%
ValueCountFrequency (%)
4038.0 1
< 0.1%
965.24 1
< 0.1%
624.0 1
< 0.1%
605.15 1
< 0.1%
410.24 1
< 0.1%
405.38 1
< 0.1%
363.54 1
< 0.1%
329.9 1
< 0.1%
317.0 1
< 0.1%
300.0 1
< 0.1%

Unnamed: 29
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4014
Missing (%)100.0%
Memory size35.4 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)판매점영업면적Unnamed: 29
01안전상비의약품 판매업소01_01_05_P3250000PHMH32018325002108750000920181102<NA>1영업/정상13영업중<NA><NA><NA><NA>051-231-9934<NA><NA>부산광역시 중구 남포동5가 8번지 1호부산광역시 중구 구덕로 54-1, 포레호텔 1층 (남포동5가)48953씨유 부산포레호텔점20181102155609I2018-11-04 02:35:42.0<NA>385007.01793179584.983851<NA><NA>
12안전상비의약품 판매업소01_01_05_P3250000PHMH32018325002108750001020181102<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 대청동1가 37번지 1호 코모도에스테이트부산광역시 중구 대청로 121-1 (대청동1가, 코모도에스테이트)48932세븐일레븐 부산코모도점20181102155656I2018-11-04 02:35:42.0<NA>385306.698877180120.93947142.97<NA>
23안전상비의약품 판매업소01_01_05_P3270000PHMH32018327002208750001020181129<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 동구 초량동 754번지 348호부산광역시 동구 망양로 608, 2층 (초량동)48804씨유 초량망양로점20181129175529I2018-12-01 02:20:16.0<NA>385413.989519182484.16715899.17<NA>
34안전상비의약품 판매업소01_01_05_P3390000PHMH32018339002308750001320181105<NA>1영업/정상13영업중<NA><NA><NA><NA>051-947-1714<NA><NA><NA>부산광역시 사상구 광장로104번길 19 (괘법동)46975이마트24사상중앙점20181105151505I2018-11-07 02:35:49.0<NA>381097.752484186478.01777466.0<NA>
45안전상비의약품 판매업소01_01_05_P3390000PHMH32018339002308750001420181105<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>부산광역시 사상구 낙동대로 988 (감전동)47027씨유감전낙동대로점20181105152214I2018-11-07 02:35:49.0<NA>379583.561299185046.937252<NA><NA>
56안전상비의약품 판매업소01_01_05_P3330000PHMH32018333002408750003720181204<NA>1영업/정상13영업중<NA><NA><NA><NA>051-606-0600<NA><NA>부산광역시 해운대구 중동 1400번지 24호 호텔마리안느부산광역시 해운대구 해운대해변로 310, 호텔마리안느 1층 (중동)48099세븐일레븐 마리안느호텔점20181210103640U2018-12-12 02:40:00.0<NA>397159.99915186843.66826666.0<NA>
67안전상비의약품 판매업소01_01_05_P3310000PHMH32018331002408750002620181227<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 남구 문현동 127번지 55호 아우성책비디오부산광역시 남구 고동골로 70, 아우성책비디오 (문현동)48416씨유 문현블루점20181227091255I2018-12-29 02:20:32.0<NA>388699.463957184649.84783959.19<NA>
78안전상비의약품 판매업소01_01_05_P3290000PHMH32018329002408750003820181227<NA>1영업/정상13영업중<NA><NA><NA><NA>051-631-1227<NA><NA>부산광역시 부산진구 범천동 847번지 15호부산광역시 부산진구 범일로 166, 1층 (범천동)47361씨유범천황실점20181227131616I2018-12-29 02:20:32.0<NA>387625.004445184788.41236436.3<NA>
89안전상비의약품 판매업소01_01_05_P3290000PHMH32018329002408750003920181227<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 부산진구 부암동 345번지 47호부산광역시 부산진구 동평로 113, 1층 (부암동)47138씨유부암동평로점20181227132558I2018-12-29 02:20:32.0<NA>385962.318694187134.3076549.5<NA>
910안전상비의약품 판매업소01_01_05_P3260000PHMH32018326002208750001420181226<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 서구 서대신동2가 270번지 보람더하임아파트부산광역시 서구 대영로 24, 102동 101호 (서대신동2가, 보람더하임아파트)49228씨유서구보람점20181227105359I2018-12-29 02:20:32.0<NA>383553.685366180798.992049<NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)판매점영업면적Unnamed: 29
40044005안전상비의약품 판매업소01_01_05_P3340000PHMH32018334002508750003120181109<NA>3폐업3폐업20190919<NA><NA><NA><NA><NA><NA><NA>부산광역시 사하구 제석로18번길 77 (당리동)49411지에스(GS)25당리제석로점20190919162252U2019-09-21 02:40:00.0<NA>380025.706359179942.17283446.2<NA>
40054006안전상비의약품 판매업소01_01_05_P3290000PHMH32018329002408750003420181106<NA>3폐업3폐업20190513<NA><NA><NA><NA><NA><NA>부산광역시 부산진구 양정동 361번지 1호부산광역시 부산진구 양지로11번길 16 (양정동)47229미니스톱 양정원룸점20190514114123U2019-05-16 02:40:00.0<NA>388551.555118187567.403851140.0<NA>
40064007안전상비의약품 판매업소01_01_05_P3360000PHMH32018336002408750001620181224<NA>3폐업3폐업20190828<NA><NA><NA>02-6916-1500<NA><NA>부산광역시 강서구 명지동 3357번지 6호부산광역시 강서구 명지국제8로 243, 에이스프라자 110호 (명지동)46726이마트24R명지국제신도시점20190829090843U2019-08-31 02:40:00.0<NA>374957.728281179392.378114105.0<NA>
40074008안전상비의약품 판매업소01_01_05_P3350000PHMH32018335002408750002920181126<NA>3폐업3폐업20190422<NA><NA><NA><NA><NA><NA>부산광역시 금정구 장전동 388번지 14호부산광역시 금정구 금강로279번길 2, 1층 (장전동)46286씨유 부산대행운점20190422162527U2019-04-24 02:40:00.0<NA>389778.890482194651.812459<NA><NA>
40084009안전상비의약품 판매업소01_01_05_P3390000PHMH32018339002308750001520181120<NA>3폐업3폐업20201103<NA><NA><NA>051-819-2482<NA><NA><NA>부산광역시 사상구 냉정로 117 (주례동)47006이마트24부산동서대점20201103182020U2020-11-05 02:40:00.0<NA>383355.94497185254.91908269.66<NA>
40094010안전상비의약품 판매업소01_01_05_P3320000PHMH32018332004508750002420181214<NA>3폐업3폐업20210303<NA><NA><NA>051-363-0717<NA><NA>부산광역시 북구 금곡동 1880번지 7호부산광역시 북구 학사로 289, 1층 (금곡동)46519지에스(GS)25 화명율리점20210304102109U2021-03-06 02:40:00.0<NA>383016.005464196112.06513449.0<NA>
40104011안전상비의약품 판매업소01_01_05_P3360000PHMH32018336002408750001520181217<NA>3폐업3폐업20191010<NA><NA><NA>051-831-5398<NA><NA>부산광역시 강서구 신호동 298번지 1호 부산신호사랑으로부영2차부산광역시 강서구 신호산단4로 27, 1층 101호 (신호동, 부산신호사랑으로부영2차)46760씨유 신호부영사랑점20191014093420U2019-10-16 02:40:00.0<NA>370949.593168177996.738324<NA><NA>
40114012안전상비의약품 판매업소01_01_05_P3330000PHMH32020333002408750004420201124<NA>3폐업3폐업20210317<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 해운대로 620, 해운대 라뮤에뜨 1층 125호 (우동)48094씨유 해운대라뮤에뜨호텔점20210317161816U2021-03-19 02:40:00.0<NA>396639.0187018.050.0<NA>
40124013안전상비의약품 판매업소01_01_05_P3350000PHMH32018335002408750001120180420<NA>2휴업2휴업<NA>2019042420211231<NA><NA><NA><NA>부산광역시 금정구 장전동 717번지 벽산블루밍디자인시티부산광역시 금정구 금강로 225, 2동 1층 202호 (장전동, 벽산블루밍디자인시티)46294이마트24 장전블루밍점20190423154759U2019-04-25 02:40:00.0<NA>389413.963613194175.406418<NA><NA>
40134014안전상비의약품 판매업소01_01_05_P3340000PHMH32018334002508750001020180219<NA>2휴업2휴업<NA>2020033120210331<NA><NA><NA><NA><NA>부산광역시 사하구 승학로 20, 1층 (당리동)49326미니스톱부산당리점20200331101514U2020-04-02 02:40:00.0<NA>379613.781262180391.41125666.0<NA>