Overview

Dataset statistics

Number of variables31
Number of observations4393
Missing cells29082
Missing cells (%)21.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 MiB
Average record size in memory268.0 B

Variable types

Numeric11
Categorical9
Text5
Unsupported5
DateTime1

Dataset

Description2021-04-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123006

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
영업상태구분코드 is highly imbalanced (51.6%)Imbalance
영업상태명 is highly imbalanced (51.6%)Imbalance
상세영업상태코드 is highly imbalanced (51.6%)Imbalance
상세영업상태명 is highly imbalanced (51.6%)Imbalance
휴업시작일자 is highly imbalanced (99.5%)Imbalance
휴업종료일자 is highly imbalanced (99.5%)Imbalance
인허가취소일자 has 4393 (100.0%) missing valuesMissing
폐업일자 has 1712 (39.0%) missing valuesMissing
재개업일자 has 4393 (100.0%) missing valuesMissing
소재지전화 has 553 (12.6%) missing valuesMissing
소재지면적 has 4393 (100.0%) missing valuesMissing
소재지우편번호 has 1490 (33.9%) missing valuesMissing
소재지전체주소 has 277 (6.3%) missing valuesMissing
도로명전체주소 has 583 (13.3%) missing valuesMissing
도로명우편번호 has 1380 (31.4%) missing valuesMissing
업태구분명 has 4393 (100.0%) missing valuesMissing
좌표정보(x) has 561 (12.8%) missing valuesMissing
좌표정보(y) has 561 (12.8%) missing valuesMissing
Unnamed: 30 has 4393 (100.0%) missing valuesMissing
소재지우편번호 is highly skewed (γ1 = -28.08107131)Skewed
약국영업면적 is highly skewed (γ1 = 66.12279325)Skewed
번호 has unique valuesUnique
관리번호 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: 30 is an unsupported type, check if it needs cleaning or further analysisUnsupported
약국영업면적 has 446 (10.2%) zerosZeros

Reproduction

Analysis started2024-04-17 05:51:08.266956
Analysis finished2024-04-17 05:51:09.331131
Duration1.06 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct4393
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2197
Minimum1
Maximum4393
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.7 KiB
2024-04-17T14:51:09.392212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile220.6
Q11099
median2197
Q33295
95-th percentile4173.4
Maximum4393
Range4392
Interquartile range (IQR)2196

Descriptive statistics

Standard deviation1268.2942
Coefficient of variation (CV)0.57728457
Kurtosis-1.2
Mean2197
Median Absolute Deviation (MAD)1098
Skewness0
Sum9651421
Variance1608570.2
MonotonicityStrictly increasing
2024-04-17T14:51:09.507158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2927 1
 
< 0.1%
2933 1
 
< 0.1%
2932 1
 
< 0.1%
2931 1
 
< 0.1%
2930 1
 
< 0.1%
2929 1
 
< 0.1%
2928 1
 
< 0.1%
2926 1
 
< 0.1%
2952 1
 
< 0.1%
Other values (4383) 4383
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 (%)
4393 1
< 0.1%
4392 1
< 0.1%
4391 1
< 0.1%
4390 1
< 0.1%
4389 1
< 0.1%
4388 1
< 0.1%
4387 1
< 0.1%
4386 1
< 0.1%
4385 1
< 0.1%
4384 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.4 KiB
약국
4393 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
약국 4393
100.0%

Length

2024-04-17T14:51:09.609416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:51:09.698382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
약국 4393
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.4 KiB
01_01_06_P
4393 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row01_01_06_P
2nd row01_01_06_P
3rd row01_01_06_P
4th row01_01_06_P
5th row01_01_06_P

Common Values

ValueCountFrequency (%)
01_01_06_P 4393
100.0%

Length

2024-04-17T14:51:10.015152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:51:10.095855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01_01_06_p 4393
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3325540.6
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.7 KiB
2024-04-17T14:51:10.174347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3260000
Q13290000
median3330000
Q33350000
95-th percentile3390000
Maximum3400000
Range150000
Interquartile range (IQR)60000

Descriptive statistics

Standard deviation39674.624
Coefficient of variation (CV)0.011930278
Kurtosis-0.86999831
Mean3325540.6
Median Absolute Deviation (MAD)30000
Skewness-0.002692071
Sum1.46091 × 1010
Variance1.5740758 × 109
MonotonicityNot monotonic
2024-04-17T14:51:10.278239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3350000 689
15.7%
3290000 519
11.8%
3330000 401
9.1%
3300000 342
 
7.8%
3310000 338
 
7.7%
3340000 306
 
7.0%
3370000 261
 
5.9%
3320000 234
 
5.3%
3380000 222
 
5.1%
3260000 218
 
5.0%
Other values (6) 863
19.6%
ValueCountFrequency (%)
3250000 133
 
3.0%
3260000 218
5.0%
3270000 179
 
4.1%
3280000 125
 
2.8%
3290000 519
11.8%
3300000 342
7.8%
3310000 338
7.7%
3320000 234
5.3%
3330000 401
9.1%
3340000 306
7.0%
ValueCountFrequency (%)
3400000 155
 
3.5%
3390000 202
 
4.6%
3380000 222
 
5.1%
3370000 261
 
5.9%
3360000 69
 
1.6%
3350000 689
15.7%
3340000 306
7.0%
3330000 401
9.1%
3320000 234
 
5.3%
3310000 338
7.7%

관리번호
Text

UNIQUE 

Distinct4393
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size34.4 KiB
2024-04-17T14:51:10.477998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters109825
Distinct characters14
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

Unique4393 ?
Unique (%)100.0%

Sample

1st rowPHMD120193250021084000001
2nd rowPHMD120193250021084000002
3rd rowPHMD119613250021084000001
4th rowPHMD119613250021084000002
5th rowPHMD119623250021084000001
ValueCountFrequency (%)
phmd120193250021084000001 1
 
< 0.1%
phmd120173350024084000003 1
 
< 0.1%
phmd120163350024084000011 1
 
< 0.1%
phmd120163350024084000012 1
 
< 0.1%
phmd120163350024084000006 1
 
< 0.1%
phmd119853350024084000002 1
 
< 0.1%
phmd120163350024084000007 1
 
< 0.1%
phmd120173350024084000001 1
 
< 0.1%
phmd120173350024084000004 1
 
< 0.1%
phmd119973350024084000003 1
 
< 0.1%
Other values (4383) 4383
99.8%
2024-04-17T14:51:10.779376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 40105
36.5%
2 10936
 
10.0%
1 10109
 
9.2%
3 9542
 
8.7%
4 8285
 
7.5%
8 5865
 
5.3%
P 4393
 
4.0%
H 4393
 
4.0%
M 4393
 
4.0%
D 4393
 
4.0%
Other values (4) 7411
 
6.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 92253
84.0%
Uppercase Letter 17572
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 40105
43.5%
2 10936
 
11.9%
1 10109
 
11.0%
3 9542
 
10.3%
4 8285
 
9.0%
8 5865
 
6.4%
9 2732
 
3.0%
5 2148
 
2.3%
7 1398
 
1.5%
6 1133
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
P 4393
25.0%
H 4393
25.0%
M 4393
25.0%
D 4393
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 92253
84.0%
Latin 17572
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 40105
43.5%
2 10936
 
11.9%
1 10109
 
11.0%
3 9542
 
10.3%
4 8285
 
9.0%
8 5865
 
6.4%
9 2732
 
3.0%
5 2148
 
2.3%
7 1398
 
1.5%
6 1133
 
1.2%
Latin
ValueCountFrequency (%)
P 4393
25.0%
H 4393
25.0%
M 4393
25.0%
D 4393
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 109825
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 40105
36.5%
2 10936
 
10.0%
1 10109
 
9.2%
3 9542
 
8.7%
4 8285
 
7.5%
8 5865
 
5.3%
P 4393
 
4.0%
H 4393
 
4.0%
M 4393
 
4.0%
D 4393
 
4.0%
Other values (4) 7411
 
6.7%

인허가일자
Real number (ℝ)

Distinct3051
Distinct (%)69.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20056385
Minimum19610316
Maximum20210302
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.7 KiB
2024-04-17T14:51:10.917063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19610316
5-th percentile19790502
Q120010731
median20090309
Q320140421
95-th percentile20190320
Maximum20210302
Range599986
Interquartile range (IQR)129690

Descriptive statistics

Standard deviation118185.55
Coefficient of variation (CV)0.0058926647
Kurtosis1.3261991
Mean20056385
Median Absolute Deviation (MAD)59993
Skewness-1.3229094
Sum8.8107701 × 1010
Variance1.3967825 × 1010
MonotonicityNot monotonic
2024-04-17T14:51:11.046637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20090302 11
 
0.3%
20130701 10
 
0.2%
20110502 9
 
0.2%
20140901 9
 
0.2%
20070702 8
 
0.2%
19691231 8
 
0.2%
19660301 8
 
0.2%
20080901 7
 
0.2%
20180102 7
 
0.2%
20080102 7
 
0.2%
Other values (3041) 4309
98.1%
ValueCountFrequency (%)
19610316 1
 
< 0.1%
19610418 1
 
< 0.1%
19620310 1
 
< 0.1%
19620924 1
 
< 0.1%
19620928 1
 
< 0.1%
19630207 1
 
< 0.1%
19630703 1
 
< 0.1%
19630822 1
 
< 0.1%
19660228 1
 
< 0.1%
19660301 8
0.2%
ValueCountFrequency (%)
20210302 3
0.1%
20210224 1
 
< 0.1%
20210223 1
 
< 0.1%
20210222 1
 
< 0.1%
20210218 1
 
< 0.1%
20210204 1
 
< 0.1%
20210203 2
< 0.1%
20210201 3
0.1%
20210125 1
 
< 0.1%
20210122 1
 
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4393
Missing (%)100.0%
Memory size38.7 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.4 KiB
3
2787 
1
1597 
4
 
6
2
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 2787
63.4%
1 1597
36.4%
4 6
 
0.1%
2 3
 
0.1%

Length

2024-04-17T14:51:11.186053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:51:11.279054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 2787
63.4%
1 1597
36.4%
4 6
 
0.1%
2 3
 
0.1%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.4 KiB
폐업
2787 
영업/정상
1597 
취소/말소/만료/정지/중지
 
6
휴업
 
3

Length

Max length14
Median length2
Mean length3.1069884
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2787
63.4%
영업/정상 1597
36.4%
취소/말소/만료/정지/중지 6
 
0.1%
휴업 3
 
0.1%

Length

2024-04-17T14:51:11.377491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:51:11.469961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2787
63.4%
영업/정상 1597
36.4%
취소/말소/만료/정지/중지 6
 
0.1%
휴업 3
 
0.1%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.4 KiB
3
2787 
13
1597 
24
 
6
2
 
3

Length

Max length2
Median length1
Mean length1.3648987
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 2787
63.4%
13 1597
36.4%
24 6
 
0.1%
2 3
 
0.1%

Length

2024-04-17T14:51:11.567450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:51:11.658206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 2787
63.4%
13 1597
36.4%
24 6
 
0.1%
2 3
 
0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.4 KiB
폐업
2787 
영업중
1597 
직권폐업
 
6
휴업
 
3

Length

Max length4
Median length2
Mean length2.3662645
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2787
63.4%
영업중 1597
36.4%
직권폐업 6
 
0.1%
휴업 3
 
0.1%

Length

2024-04-17T14:51:11.768373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:51:11.875868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2787
63.4%
영업중 1597
36.4%
직권폐업 6
 
0.1%
휴업 3
 
0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct1817
Distinct (%)67.8%
Missing1712
Missing (%)39.0%
Infinite0
Infinite (%)0.0%
Mean20109398
Minimum19760520
Maximum20210302
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.7 KiB
2024-04-17T14:51:11.983768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19760520
5-th percentile19930714
Q120090928
median20121013
Q320160310
95-th percentile20190703
Maximum20210302
Range449782
Interquartile range (IQR)69382

Descriptive statistics

Standard deviation73414.429
Coefficient of variation (CV)0.0036507523
Kurtosis2.8608462
Mean20109398
Median Absolute Deviation (MAD)30283
Skewness-1.6496322
Sum5.3913295 × 1010
Variance5.3896785 × 109
MonotonicityNot monotonic
2024-04-17T14:51:12.107946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20130701 11
 
0.3%
20110502 11
 
0.3%
20090302 11
 
0.3%
20140901 9
 
0.2%
20130102 8
 
0.2%
20110704 7
 
0.2%
20130902 7
 
0.2%
20131202 7
 
0.2%
20090501 7
 
0.2%
20180402 6
 
0.1%
Other values (1807) 2597
59.1%
(Missing) 1712
39.0%
ValueCountFrequency (%)
19760520 1
< 0.1%
19781124 1
< 0.1%
19790402 1
< 0.1%
19800706 1
< 0.1%
19800826 1
< 0.1%
19801105 1
< 0.1%
19810210 1
< 0.1%
19810530 1
< 0.1%
19820403 1
< 0.1%
19820622 1
< 0.1%
ValueCountFrequency (%)
20210302 2
< 0.1%
20210301 1
< 0.1%
20210228 2
< 0.1%
20210224 1
< 0.1%
20210222 1
< 0.1%
20210215 1
< 0.1%
20210208 1
< 0.1%
20210201 1
< 0.1%
20210131 2
< 0.1%
20210127 1
< 0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.4 KiB
<NA>
4390 
20200701
 
1
20200706
 
1
20210201
 
1

Length

Max length8
Median length4
Mean length4.0027316
Min length4

Unique

Unique3 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4390
99.9%
20200701 1
 
< 0.1%
20200706 1
 
< 0.1%
20210201 1
 
< 0.1%

Length

2024-04-17T14:51:12.225501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:51:12.323846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4390
99.9%
20200701 1
 
< 0.1%
20200706 1
 
< 0.1%
20210201 1
 
< 0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.4 KiB
<NA>
4390 
20210630
 
1
20210502
 
1
20210731
 
1

Length

Max length8
Median length4
Mean length4.0027316
Min length4

Unique

Unique3 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4390
99.9%
20210630 1
 
< 0.1%
20210502 1
 
< 0.1%
20210731 1
 
< 0.1%

Length

2024-04-17T14:51:12.443894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:51:12.558651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4390
99.9%
20210630 1
 
< 0.1%
20210502 1
 
< 0.1%
20210731 1
 
< 0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4393
Missing (%)100.0%
Memory size38.7 KiB

소재지전화
Text

MISSING 

Distinct2951
Distinct (%)76.8%
Missing553
Missing (%)12.6%
Memory size34.4 KiB
2024-04-17T14:51:12.757135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.891667
Min length3

Characters and Unicode

Total characters41824
Distinct characters15
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2334 ?
Unique (%)60.8%

Sample

1st row469-9693
2nd row051-442-0911
3rd row051-245-7656
4th row051-469-9693
5th row051-469-4647
ValueCountFrequency (%)
051-817-6949 6
 
0.2%
051-894-7770 6
 
0.2%
051-322-8210 6
 
0.2%
051-806-8074 6
 
0.2%
051-554-3400 5
 
0.1%
051-621-8383 5
 
0.1%
507-0106 5
 
0.1%
784-8999 5
 
0.1%
241-0718 5
 
0.1%
512-9461 5
 
0.1%
Other values (2941) 3786
98.6%
2024-04-17T14:51:13.091760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 6492
15.5%
5 6138
14.7%
0 5480
13.1%
1 5346
12.8%
2 3407
8.1%
3 2824
6.8%
7 2783
6.7%
8 2701
6.5%
6 2633
6.3%
4 2342
 
5.6%
Other values (5) 1678
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 35280
84.4%
Dash Punctuation 6492
 
15.5%
Close Punctuation 43
 
0.1%
Other Punctuation 7
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 6138
17.4%
0 5480
15.5%
1 5346
15.2%
2 3407
9.7%
3 2824
8.0%
7 2783
7.9%
8 2701
7.7%
6 2633
7.5%
4 2342
 
6.6%
9 1626
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 6492
100.0%
Close Punctuation
ValueCountFrequency (%)
) 43
100.0%
Other Punctuation
ValueCountFrequency (%)
. 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 41824
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 6492
15.5%
5 6138
14.7%
0 5480
13.1%
1 5346
12.8%
2 3407
8.1%
3 2824
6.8%
7 2783
6.7%
8 2701
6.5%
6 2633
6.3%
4 2342
 
5.6%
Other values (5) 1678
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 41824
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 6492
15.5%
5 6138
14.7%
0 5480
13.1%
1 5346
12.8%
2 3407
8.1%
3 2824
6.8%
7 2783
6.7%
8 2701
6.5%
6 2633
6.3%
4 2342
 
5.6%
Other values (5) 1678
 
4.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4393
Missing (%)100.0%
Memory size38.7 KiB

소재지우편번호
Real number (ℝ)

MISSING  SKEWED 

Distinct667
Distinct (%)23.0%
Missing1490
Missing (%)33.9%
Infinite0
Infinite (%)0.0%
Mean610041.8
Minimum46988
Maximum626756
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.7 KiB
2024-04-17T14:51:13.210889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46988
5-th percentile601823
Q1607841.5
median609832
Q3613927
95-th percentile617838
Maximum626756
Range579768
Interquartile range (IQR)6085.5

Descriptive statistics

Standard deviation18727.358
Coefficient of variation (CV)0.030698483
Kurtosis842.21541
Mean610041.8
Median Absolute Deviation (MAD)2994
Skewness-28.081071
Sum1.7709514 × 109
Variance3.5071394 × 108
MonotonicityNot monotonic
2024-04-17T14:51:13.326259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
609400 94
 
2.1%
609310 87
 
2.0%
609320 74
 
1.7%
609390 61
 
1.4%
609813 27
 
0.6%
609811 26
 
0.6%
601812 23
 
0.5%
602011 21
 
0.5%
612021 20
 
0.5%
614812 19
 
0.4%
Other values (657) 2451
55.8%
(Missing) 1490
33.9%
ValueCountFrequency (%)
46988 1
 
< 0.1%
47256 1
 
< 0.1%
47354 1
 
< 0.1%
600011 1
 
< 0.1%
600014 1
 
< 0.1%
600017 2
 
< 0.1%
600022 1
 
< 0.1%
600023 1
 
< 0.1%
600025 9
0.2%
600031 1
 
< 0.1%
ValueCountFrequency (%)
626756 1
 
< 0.1%
621070 1
 
< 0.1%
621021 1
 
< 0.1%
619963 15
0.3%
619962 4
 
0.1%
619961 1
 
< 0.1%
619953 4
 
0.1%
619952 2
 
< 0.1%
619951 1
 
< 0.1%
619912 7
0.2%

소재지전체주소
Text

MISSING 

Distinct3359
Distinct (%)81.6%
Missing277
Missing (%)6.3%
Memory size34.4 KiB
2024-04-17T14:51:13.639919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length50
Mean length23.839164
Min length11

Characters and Unicode

Total characters98122
Distinct characters366
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2858 ?
Unique (%)69.4%

Sample

1st row부산광역시 중구 중앙동4가 47번지 1호
2nd row부산광역시 중구 동광동5가 16번지 37호
3rd row부산광역시 중구 부평동 2가 66-5
4th row부산광역시 중구 중앙동4가 47번지
5th row부산광역시 중구 영주동 1가 616-6
ValueCountFrequency (%)
부산광역시 4088
 
19.7%
금정구 685
 
3.3%
부산진구 476
 
2.3%
1호 448
 
2.2%
해운대구 382
 
1.8%
동래구 340
 
1.6%
남구 319
 
1.5%
사하구 271
 
1.3%
연제구 250
 
1.2%
수영구 220
 
1.1%
Other values (2977) 13302
64.0%
2024-04-17T14:51:14.092775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16710
17.0%
1 5226
 
5.3%
부 5009
 
5.1%
산 4921
 
5.0%
동 4701
 
4.8%
광 4237
 
4.3%
구 4169
 
4.2%
시 4137
 
4.2%
역 4096
 
4.2%
지 3322
 
3.4%
Other values (356) 41594
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 58925
60.1%
Decimal Number 21251
 
21.7%
Space Separator 16710
 
17.0%
Dash Punctuation 861
 
0.9%
Other Punctuation 106
 
0.1%
Uppercase Letter 86
 
0.1%
Open Punctuation 79
 
0.1%
Close Punctuation 78
 
0.1%
Lowercase Letter 20
 
< 0.1%
Math Symbol 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 5009
 
8.5%
산 4921
 
8.4%
동 4701
 
8.0%
광 4237
 
7.2%
구 4169
 
7.1%
시 4137
 
7.0%
역 4096
 
7.0%
지 3322
 
5.6%
호 3310
 
5.6%
번 3182
 
5.4%
Other values (308) 17841
30.3%
Uppercase Letter
ValueCountFrequency (%)
B 14
16.3%
G 11
12.8%
S 10
11.6%
K 9
10.5%
L 9
10.5%
A 6
7.0%
F 4
 
4.7%
P 3
 
3.5%
T 3
 
3.5%
D 3
 
3.5%
Other values (10) 14
16.3%
Decimal Number
ValueCountFrequency (%)
1 5226
24.6%
2 3143
14.8%
3 2443
11.5%
4 1995
 
9.4%
5 1752
 
8.2%
0 1468
 
6.9%
6 1444
 
6.8%
7 1430
 
6.7%
8 1202
 
5.7%
9 1148
 
5.4%
Lowercase Letter
ValueCountFrequency (%)
s 7
35.0%
i 5
25.0%
e 3
15.0%
j 1
 
5.0%
u 1
 
5.0%
l 1
 
5.0%
p 1
 
5.0%
k 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 80
75.5%
@ 19
 
17.9%
· 5
 
4.7%
. 1
 
0.9%
/ 1
 
0.9%
Space Separator
ValueCountFrequency (%)
16710
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 861
100.0%
Open Punctuation
ValueCountFrequency (%)
( 79
100.0%
Close Punctuation
ValueCountFrequency (%)
) 78
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 58925
60.1%
Common 39091
39.8%
Latin 106
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 5009
 
8.5%
산 4921
 
8.4%
동 4701
 
8.0%
광 4237
 
7.2%
구 4169
 
7.1%
시 4137
 
7.0%
역 4096
 
7.0%
지 3322
 
5.6%
호 3310
 
5.6%
번 3182
 
5.4%
Other values (308) 17841
30.3%
Latin
ValueCountFrequency (%)
B 14
13.2%
G 11
 
10.4%
S 10
 
9.4%
K 9
 
8.5%
L 9
 
8.5%
s 7
 
6.6%
A 6
 
5.7%
i 5
 
4.7%
F 4
 
3.8%
P 3
 
2.8%
Other values (18) 28
26.4%
Common
ValueCountFrequency (%)
16710
42.7%
1 5226
 
13.4%
2 3143
 
8.0%
3 2443
 
6.2%
4 1995
 
5.1%
5 1752
 
4.5%
0 1468
 
3.8%
6 1444
 
3.7%
7 1430
 
3.7%
8 1202
 
3.1%
Other values (10) 2278
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 58925
60.1%
ASCII 39192
39.9%
None 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16710
42.6%
1 5226
 
13.3%
2 3143
 
8.0%
3 2443
 
6.2%
4 1995
 
5.1%
5 1752
 
4.5%
0 1468
 
3.7%
6 1444
 
3.7%
7 1430
 
3.6%
8 1202
 
3.1%
Other values (37) 2379
 
6.1%
Hangul
ValueCountFrequency (%)
부 5009
 
8.5%
산 4921
 
8.4%
동 4701
 
8.0%
광 4237
 
7.2%
구 4169
 
7.1%
시 4137
 
7.0%
역 4096
 
7.0%
지 3322
 
5.6%
호 3310
 
5.6%
번 3182
 
5.4%
Other values (308) 17841
30.3%
None
ValueCountFrequency (%)
· 5
100.0%

도로명전체주소
Text

MISSING 

Distinct2810
Distinct (%)73.8%
Missing583
Missing (%)13.3%
Memory size34.4 KiB
2024-04-17T14:51:14.382158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length53
Mean length27.350656
Min length20

Characters and Unicode

Total characters104206
Distinct characters428
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

Unique2197 ?
Unique (%)57.7%

Sample

1st row부산광역시 중구 해관로 69, 1층 (중앙동4가)
2nd row부산광역시 중구 동영로 4, 2층 (동광동5가)
3rd row부산광역시 중구 중앙대로81번길 8 (중앙동4가)
4th row부산광역시 중구 중앙대로147번길 3 (영주동)
5th row부산광역시 중구 초량중로 4 (영주동)
ValueCountFrequency (%)
부산광역시 3810
 
18.0%
1층 616
 
2.9%
금정구 605
 
2.9%
부산진구 445
 
2.1%
해운대구 343
 
1.6%
동래구 295
 
1.4%
사하구 255
 
1.2%
연제구 253
 
1.2%
중앙대로 221
 
1.0%
북구 221
 
1.0%
Other values (2515) 14071
66.6%
2024-04-17T14:51:14.800587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17345
 
16.6%
동 4854
 
4.7%
부 4742
 
4.6%
산 4656
 
4.5%
1 4041
 
3.9%
광 4008
 
3.8%
시 3977
 
3.8%
구 3951
 
3.8%
역 3817
 
3.7%
로 3774
 
3.6%
Other values (418) 49041
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 62565
60.0%
Space Separator 17345
 
16.6%
Decimal Number 14634
 
14.0%
Open Punctuation 3695
 
3.5%
Close Punctuation 3695
 
3.5%
Other Punctuation 1636
 
1.6%
Dash Punctuation 512
 
0.5%
Uppercase Letter 88
 
0.1%
Lowercase Letter 28
 
< 0.1%
Math Symbol 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 4854
 
7.8%
부 4742
 
7.6%
산 4656
 
7.4%
광 4008
 
6.4%
시 3977
 
6.4%
구 3951
 
6.3%
역 3817
 
6.1%
로 3774
 
6.0%
대 1813
 
2.9%
정 1006
 
1.6%
Other values (370) 25967
41.5%
Uppercase Letter
ValueCountFrequency (%)
B 20
22.7%
S 12
13.6%
K 11
12.5%
G 6
 
6.8%
L 5
 
5.7%
D 4
 
4.5%
A 4
 
4.5%
F 4
 
4.5%
E 3
 
3.4%
C 3
 
3.4%
Other values (10) 16
18.2%
Decimal Number
ValueCountFrequency (%)
1 4041
27.6%
2 2041
13.9%
3 1423
 
9.7%
0 1250
 
8.5%
5 1130
 
7.7%
4 1128
 
7.7%
6 980
 
6.7%
7 960
 
6.6%
9 856
 
5.8%
8 825
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
s 8
28.6%
i 6
21.4%
e 5
17.9%
q 2
 
7.1%
u 2
 
7.1%
r 2
 
7.1%
a 2
 
7.1%
j 1
 
3.6%
Other Punctuation
ValueCountFrequency (%)
, 1623
99.2%
· 7
 
0.4%
@ 4
 
0.2%
. 2
 
0.1%
Space Separator
ValueCountFrequency (%)
17345
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3695
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3695
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 512
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 62565
60.0%
Common 41524
39.8%
Latin 117
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 4854
 
7.8%
부 4742
 
7.6%
산 4656
 
7.4%
광 4008
 
6.4%
시 3977
 
6.4%
구 3951
 
6.3%
역 3817
 
6.1%
로 3774
 
6.0%
대 1813
 
2.9%
정 1006
 
1.6%
Other values (370) 25967
41.5%
Latin
ValueCountFrequency (%)
B 20
17.1%
S 12
 
10.3%
K 11
 
9.4%
s 8
 
6.8%
G 6
 
5.1%
i 6
 
5.1%
L 5
 
4.3%
e 5
 
4.3%
D 4
 
3.4%
A 4
 
3.4%
Other values (19) 36
30.8%
Common
ValueCountFrequency (%)
17345
41.8%
1 4041
 
9.7%
( 3695
 
8.9%
) 3695
 
8.9%
2 2041
 
4.9%
, 1623
 
3.9%
3 1423
 
3.4%
0 1250
 
3.0%
5 1130
 
2.7%
4 1128
 
2.7%
Other values (9) 4153
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 62565
60.0%
ASCII 41633
40.0%
None 7
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17345
41.7%
1 4041
 
9.7%
( 3695
 
8.9%
) 3695
 
8.9%
2 2041
 
4.9%
, 1623
 
3.9%
3 1423
 
3.4%
0 1250
 
3.0%
5 1130
 
2.7%
4 1128
 
2.7%
Other values (36) 4262
 
10.2%
Hangul
ValueCountFrequency (%)
동 4854
 
7.8%
부 4742
 
7.6%
산 4656
 
7.4%
광 4008
 
6.4%
시 3977
 
6.4%
구 3951
 
6.3%
역 3817
 
6.1%
로 3774
 
6.0%
대 1813
 
2.9%
정 1006
 
1.6%
Other values (370) 25967
41.5%
None
ValueCountFrequency (%)
· 7
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct1211
Distinct (%)40.2%
Missing1380
Missing (%)31.4%
Infinite0
Infinite (%)0.0%
Mean185188.97
Minimum46002
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.7 KiB
2024-04-17T14:51:14.932826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46002
5-th percentile46246.8
Q147261
median48261
Q349518
95-th percentile616805
Maximum619963
Range573961
Interquartile range (IQR)2257

Descriptive statistics

Standard deviation241904.01
Coefficient of variation (CV)1.306255
Kurtosis-0.57520022
Mean185188.97
Median Absolute Deviation (MAD)1080
Skewness1.1934783
Sum5.5797436 × 108
Variance5.8517551 × 1010
MonotonicityNot monotonic
2024-04-17T14:51:15.053870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
47257 20
 
0.5%
48095 17
 
0.4%
46015 17
 
0.4%
47286 16
 
0.4%
46726 14
 
0.3%
47181 14
 
0.3%
48254 13
 
0.3%
46576 13
 
0.3%
601812 13
 
0.3%
49241 12
 
0.3%
Other values (1201) 2864
65.2%
(Missing) 1380
31.4%
ValueCountFrequency (%)
46002 4
 
0.1%
46007 2
 
< 0.1%
46008 6
 
0.1%
46012 1
 
< 0.1%
46014 1
 
< 0.1%
46015 17
0.4%
46017 7
0.2%
46019 1
 
< 0.1%
46021 2
 
< 0.1%
46022 1
 
< 0.1%
ValueCountFrequency (%)
619963 8
0.2%
619962 2
 
< 0.1%
619953 1
 
< 0.1%
619952 2
 
< 0.1%
619951 1
 
< 0.1%
619912 6
0.1%
619911 3
 
0.1%
619906 3
 
0.1%
619905 8
0.2%
619904 2
 
< 0.1%

사업장명
Text

Distinct1720
Distinct (%)39.2%
Missing0
Missing (%)0.0%
Memory size34.4 KiB
2024-04-17T14:51:15.300949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length4
Mean length4.7129524
Min length3

Characters and Unicode

Total characters20704
Distinct characters410
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique998 ?
Unique (%)22.7%

Sample

1st row역전미도약국
2nd row새한솔약국
3rd row위생약국
4th row역전미도약국
5th row주성약국
ValueCountFrequency (%)
약국 99
 
2.2%
우리약국 53
 
1.2%
제일약국 51
 
1.1%
조은약국 45
 
1.0%
하나약국 41
 
0.9%
열린약국 37
 
0.8%
미소약국 36
 
0.8%
건강약국 30
 
0.7%
푸른약국 30
 
0.7%
우리들약국 29
 
0.6%
Other values (1707) 4111
90.1%
2024-04-17T14:51:15.658080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
국 4400
21.3%
약 4397
21.2%
리 362
 
1.7%
한 310
 
1.5%
대 294
 
1.4%
동 288
 
1.4%
우 219
 
1.1%
은 203
 
1.0%
신 200
 
1.0%
일 190
 
0.9%
Other values (400) 9841
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20420
98.6%
Space Separator 169
 
0.8%
Decimal Number 67
 
0.3%
Uppercase Letter 21
 
0.1%
Lowercase Letter 19
 
0.1%
Close Punctuation 3
 
< 0.1%
Open Punctuation 3
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 4400
21.5%
약 4397
21.5%
리 362
 
1.8%
한 310
 
1.5%
대 294
 
1.4%
동 288
 
1.4%
우 219
 
1.1%
은 203
 
1.0%
신 200
 
1.0%
일 190
 
0.9%
Other values (368) 9557
46.8%
Decimal Number
ValueCountFrequency (%)
1 23
34.3%
2 20
29.9%
3 5
 
7.5%
0 5
 
7.5%
5 4
 
6.0%
6 2
 
3.0%
7 2
 
3.0%
8 2
 
3.0%
9 2
 
3.0%
4 2
 
3.0%
Lowercase Letter
ValueCountFrequency (%)
e 5
26.3%
h 5
26.3%
i 3
15.8%
p 1
 
5.3%
m 1
 
5.3%
r 1
 
5.3%
a 1
 
5.3%
y 1
 
5.3%
b 1
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
T 5
23.8%
G 5
23.8%
L 5
23.8%
E 1
 
4.8%
M 1
 
4.8%
S 1
 
4.8%
R 1
 
4.8%
O 1
 
4.8%
K 1
 
4.8%
Space Separator
ValueCountFrequency (%)
169
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20419
98.6%
Common 244
 
1.2%
Latin 40
 
0.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 4400
21.5%
약 4397
21.5%
리 362
 
1.8%
한 310
 
1.5%
대 294
 
1.4%
동 288
 
1.4%
우 219
 
1.1%
은 203
 
1.0%
신 200
 
1.0%
일 190
 
0.9%
Other values (367) 9556
46.8%
Latin
ValueCountFrequency (%)
e 5
12.5%
h 5
12.5%
T 5
12.5%
G 5
12.5%
L 5
12.5%
i 3
 
7.5%
E 1
 
2.5%
M 1
 
2.5%
S 1
 
2.5%
R 1
 
2.5%
Other values (8) 8
20.0%
Common
ValueCountFrequency (%)
169
69.3%
1 23
 
9.4%
2 20
 
8.2%
3 5
 
2.0%
0 5
 
2.0%
5 4
 
1.6%
) 3
 
1.2%
( 3
 
1.2%
6 2
 
0.8%
7 2
 
0.8%
Other values (4) 8
 
3.3%
Han
ValueCountFrequency (%)
東 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20419
98.6%
ASCII 284
 
1.4%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
국 4400
21.5%
약 4397
21.5%
리 362
 
1.8%
한 310
 
1.5%
대 294
 
1.4%
동 288
 
1.4%
우 219
 
1.1%
은 203
 
1.0%
신 200
 
1.0%
일 190
 
0.9%
Other values (367) 9556
46.8%
ASCII
ValueCountFrequency (%)
169
59.5%
1 23
 
8.1%
2 20
 
7.0%
3 5
 
1.8%
0 5
 
1.8%
e 5
 
1.8%
h 5
 
1.8%
T 5
 
1.8%
G 5
 
1.8%
L 5
 
1.8%
Other values (22) 37
 
13.0%
CJK
ValueCountFrequency (%)
東 1
100.0%

최종수정시점
Real number (ℝ)

Distinct4286
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0140464 × 1013
Minimum2.0081125 × 1013
Maximum2.0210226 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.7 KiB
2024-04-17T14:51:15.785921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0081125 × 1013
5-th percentile2.009012 × 1013
Q12.0111024 × 1013
median2.014043 × 1013
Q32.0170616 × 1013
95-th percentile2.0200508 × 1013
Maximum2.0210226 × 1013
Range1.29101 × 1011
Interquartile range (IQR)5.9592051 × 1010

Descriptive statistics

Standard deviation3.6166785 × 1010
Coefficient of variation (CV)0.0017957275
Kurtosis-1.0803462
Mean2.0140464 × 1013
Median Absolute Deviation (MAD)2.9871923 × 1010
Skewness0.095435411
Sum8.8477059 × 1016
Variance1.3080363 × 1021
MonotonicityNot monotonic
2024-04-17T14:51:15.913533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20081201183323 36
 
0.8%
20081201183322 29
 
0.7%
20081201183324 25
 
0.6%
20081201183321 11
 
0.3%
20081201183325 11
 
0.3%
20200928145652 1
 
< 0.1%
20191119150126 1
 
< 0.1%
20160801171849 1
 
< 0.1%
20200213153004 1
 
< 0.1%
20120304131520 1
 
< 0.1%
Other values (4276) 4276
97.3%
ValueCountFrequency (%)
20081125181445 1
< 0.1%
20081126095545 1
< 0.1%
20081126101537 1
< 0.1%
20081126103530 1
< 0.1%
20081126154442 1
< 0.1%
20081126154559 1
< 0.1%
20081126154902 1
< 0.1%
20081126154951 1
< 0.1%
20081126155156 1
< 0.1%
20081126155236 1
< 0.1%
ValueCountFrequency (%)
20210226183438 1
< 0.1%
20210226183107 1
< 0.1%
20210226182417 1
< 0.1%
20210226143728 1
< 0.1%
20210226143643 1
< 0.1%
20210226140455 1
< 0.1%
20210226135612 1
< 0.1%
20210226133055 1
< 0.1%
20210226120209 1
< 0.1%
20210226094739 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.4 KiB
I
3861 
U
532 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 3861
87.9%
U 532
 
12.1%

Length

2024-04-17T14:51:16.023624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:51:16.105254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 3861
87.9%
u 532
 
12.1%

데이터갱신일자
Date

Distinct481
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size34.4 KiB
Minimum2018-08-31 23:59:59
Maximum2021-02-28 02:40:00
2024-04-17T14:51:16.196434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T14:51:16.313237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4393
Missing (%)100.0%
Memory size38.7 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct2306
Distinct (%)60.2%
Missing561
Missing (%)12.8%
Infinite0
Infinite (%)0.0%
Mean388328.71
Minimum366778.84
Maximum407507.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.7 KiB
2024-04-17T14:51:16.432153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum366778.84
5-th percentile379938.7
Q1384538.71
median388989.35
Q3391345.01
95-th percentile397894.05
Maximum407507.94
Range40729.102
Interquartile range (IQR)6806.2995

Descriptive statistics

Standard deviation5319.3265
Coefficient of variation (CV)0.013697999
Kurtosis0.73954155
Mean388328.71
Median Absolute Deviation (MAD)3120.2123
Skewness0.088779485
Sum1.4880756 × 109
Variance28295234
MonotonicityNot monotonic
2024-04-17T14:51:16.834489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
390334.468671295 12
 
0.3%
384017.538567667 12
 
0.3%
391781.118721177 11
 
0.3%
383836.715027165 11
 
0.3%
392474.578116018 9
 
0.2%
381041.901040161 8
 
0.2%
389933.629590491 8
 
0.2%
383838.213535785 8
 
0.2%
398694.155871524 8
 
0.2%
398155.660814985 8
 
0.2%
Other values (2296) 3737
85.1%
(Missing) 561
 
12.8%
ValueCountFrequency (%)
366778.837130241 1
 
< 0.1%
367451.087635496 3
0.1%
368909.552423688 2
< 0.1%
369169.330139889 1
 
< 0.1%
370115.612124915 1
 
< 0.1%
371163.0 1
 
< 0.1%
371173.90939644 1
 
< 0.1%
371178.823833358 1
 
< 0.1%
371181.352545926 1
 
< 0.1%
372874.021439 2
< 0.1%
ValueCountFrequency (%)
407507.938658253 1
 
< 0.1%
407504.0 1
 
< 0.1%
407448.0 1
 
< 0.1%
407446.416940698 1
 
< 0.1%
407133.798332267 1
 
< 0.1%
407003.941456545 1
 
< 0.1%
405385.675629727 3
0.1%
405339.550533951 2
< 0.1%
405339.365953558 1
 
< 0.1%
405254.345942127 1
 
< 0.1%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct2308
Distinct (%)60.2%
Missing561
Missing (%)12.8%
Infinite0
Infinite (%)0.0%
Mean187893.59
Minimum174031.94
Maximum206378.28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.7 KiB
2024-04-17T14:51:16.955939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174031.94
5-th percentile178426.92
Q1183736.19
median187641.88
Q3192195.1
95-th percentile197981.04
Maximum206378.28
Range32346.346
Interquartile range (IQR)8458.9129

Descriptive statistics

Standard deviation6201.1269
Coefficient of variation (CV)0.033003399
Kurtosis-0.21089979
Mean187893.59
Median Absolute Deviation (MAD)4373.8848
Skewness0.23143466
Sum7.2000822 × 108
Variance38453975
MonotonicityNot monotonic
2024-04-17T14:51:17.077253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
184850.850061492 12
 
0.3%
193823.110431075 12
 
0.3%
177679.311431902 11
 
0.3%
192580.29003502 11
 
0.3%
179455.22013973 8
 
0.2%
196180.465116547 8
 
0.2%
179724.598642884 8
 
0.2%
187681.573589165 8
 
0.2%
188302.926584749 8
 
0.2%
189687.463277257 7
 
0.2%
Other values (2298) 3739
85.1%
(Missing) 561
 
12.8%
ValueCountFrequency (%)
174031.935803657 1
< 0.1%
174035.700224564 2
< 0.1%
174087.295724335 1
< 0.1%
174092.497564851 1
< 0.1%
174106.09009853 1
< 0.1%
174294.918563971 1
< 0.1%
174683.062928525 1
< 0.1%
174742.952690375 1
< 0.1%
174793.111940975 2
< 0.1%
174823.87811521 1
< 0.1%
ValueCountFrequency (%)
206378.281379 1
< 0.1%
206377.970967 1
< 0.1%
206336.380838 1
< 0.1%
206335.181672 1
< 0.1%
206320.100629 1
< 0.1%
206319.0 1
< 0.1%
206070.223360046 1
< 0.1%
206047.415761754 2
< 0.1%
206041.0 1
< 0.1%
205750.820021879 1
< 0.1%

약국영업면적
Real number (ℝ)

SKEWED  ZEROS 

Distinct1569
Distinct (%)35.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67.025097
Minimum0
Maximum74949
Zeros446
Zeros (%)10.2%
Negative0
Negative (%)0.0%
Memory size38.7 KiB
2024-04-17T14:51:17.198167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q123
median43.8
Q368
95-th percentile129.708
Maximum74949
Range74949
Interquartile range (IQR)45

Descriptive statistics

Standard deviation1130.9382
Coefficient of variation (CV)16.873354
Kurtosis4379.1217
Mean67.025097
Median Absolute Deviation (MAD)22.23
Skewness66.122793
Sum294441.25
Variance1279021.2
MonotonicityNot monotonic
2024-04-17T14:51:17.313906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 446
 
10.2%
1.0 422
 
9.6%
33.0 50
 
1.1%
66.0 49
 
1.1%
49.5 42
 
1.0%
99.0 32
 
0.7%
82.5 30
 
0.7%
39.6 23
 
0.5%
46.2 23
 
0.5%
52.8 22
 
0.5%
Other values (1559) 3254
74.1%
ValueCountFrequency (%)
0.0 446
10.2%
1.0 422
9.6%
8.86 2
 
< 0.1%
9.0 2
 
< 0.1%
9.12 1
 
< 0.1%
10.28 1
 
< 0.1%
11.11 2
 
< 0.1%
12.0 1
 
< 0.1%
12.5 2
 
< 0.1%
12.9 3
 
0.1%
ValueCountFrequency (%)
74949.0 1
 
< 0.1%
516.04 2
< 0.1%
454.92 1
 
< 0.1%
450.0 3
0.1%
400.0 1
 
< 0.1%
364.85 2
< 0.1%
294.0 1
 
< 0.1%
282.0 1
 
< 0.1%
280.9 1
 
< 0.1%
251.0 3
0.1%

지정일자
Real number (ℝ)

Distinct3051
Distinct (%)69.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20056385
Minimum19610316
Maximum20210302
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.7 KiB
2024-04-17T14:51:17.437491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19610316
5-th percentile19790502
Q120010731
median20090309
Q320140421
95-th percentile20190320
Maximum20210302
Range599986
Interquartile range (IQR)129690

Descriptive statistics

Standard deviation118185.55
Coefficient of variation (CV)0.0058926647
Kurtosis1.3261991
Mean20056385
Median Absolute Deviation (MAD)59993
Skewness-1.3229094
Sum8.8107701 × 1010
Variance1.3967825 × 1010
MonotonicityNot monotonic
2024-04-17T14:51:17.561827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20090302 11
 
0.3%
20130701 10
 
0.2%
20110502 9
 
0.2%
20140901 9
 
0.2%
20070702 8
 
0.2%
19691231 8
 
0.2%
19660301 8
 
0.2%
20080901 7
 
0.2%
20180102 7
 
0.2%
20080102 7
 
0.2%
Other values (3041) 4309
98.1%
ValueCountFrequency (%)
19610316 1
 
< 0.1%
19610418 1
 
< 0.1%
19620310 1
 
< 0.1%
19620924 1
 
< 0.1%
19620928 1
 
< 0.1%
19630207 1
 
< 0.1%
19630703 1
 
< 0.1%
19630822 1
 
< 0.1%
19660228 1
 
< 0.1%
19660301 8
0.2%
ValueCountFrequency (%)
20210302 3
0.1%
20210224 1
 
< 0.1%
20210223 1
 
< 0.1%
20210222 1
 
< 0.1%
20210218 1
 
< 0.1%
20210204 1
 
< 0.1%
20210203 2
< 0.1%
20210201 3
0.1%
20210125 1
 
< 0.1%
20210122 1
 
< 0.1%

Unnamed: 30
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4393
Missing (%)100.0%
Memory size38.7 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)약국영업면적지정일자Unnamed: 30
01약국01_01_06_P3250000PHMD12019325002108400000120190726<NA>3폐업3폐업20200928<NA><NA><NA>469-9693<NA><NA>부산광역시 중구 중앙동4가 47번지 1호부산광역시 중구 해관로 69, 1층 (중앙동4가)48930역전미도약국20200928145652U2020-09-30 02:40:00.0<NA>385506.80671180339.25954339.620190726<NA>
12약국01_01_06_P3250000PHMD12019325002108400000220190819<NA>3폐업3폐업20210222<NA><NA><NA>051-442-0911<NA><NA>부산광역시 중구 동광동5가 16번지 37호부산광역시 중구 동영로 4, 2층 (동광동5가)48921새한솔약국20210222104250U2021-02-24 02:40:00.0<NA>385305.463246180614.22050262.1820190819<NA>
23약국01_01_06_P3250000PHMD11961325002108400000119610316<NA>3폐업3폐업20110218<NA><NA><NA>051-245-7656<NA><NA>부산광역시 중구 부평동 2가 66-5<NA><NA>위생약국20110311112827I2018-08-31 23:59:59.0<NA><NA><NA>0.019610316<NA>
34약국01_01_06_P3250000PHMD11961325002108400000219610418<NA>3폐업3폐업20190726<NA><NA><NA>051-469-9693<NA>600815부산광역시 중구 중앙동4가 47번지부산광역시 중구 중앙대로81번길 8 (중앙동4가)48930역전미도약국20190726133003U2019-07-28 02:40:00.0<NA>385500.736292180338.0205880.019610418<NA>
45약국01_01_06_P3250000PHMD11962325002108400000119620310<NA>3폐업3폐업20120930<NA><NA><NA>051-469-4647<NA><NA>부산광역시 중구 영주동 1가 616-6부산광역시 중구 중앙대로147번길 3 (영주동)600811주성약국20121002161054I2018-08-31 23:59:59.0<NA><NA><NA>0.019620310<NA>
56약국01_01_06_P3250000PHMD11962325002108400000219620924<NA>3폐업3폐업20180402<NA><NA><NA>051-469-7037<NA><NA>부산광역시 중구 영주동 23-18부산광역시 중구 초량중로 4 (영주동)48911제일약국20180402113650I2018-08-31 23:59:59.0<NA>385563.705309181157.5907840.019620924<NA>
67약국01_01_06_P3250000PHMD11962325002108400000319620928<NA>3폐업3폐업20091119<NA><NA><NA>051-245-6585<NA><NA>부산광역시 중구 부평동 2가 40<NA><NA>왕자약국20091119173020I2018-08-31 23:59:59.0<NA><NA><NA>0.019620928<NA>
78약국01_01_06_P3250000PHMD11963325002108400000219630822<NA>3폐업3폐업20130326<NA><NA><NA>051-245-4246<NA>600046부산광역시 중구 남포동6가 7번지 1호 ,4부산광역시 중구 자갈치로 38 (남포동6가)600046동명약국20130329092944I2018-08-31 23:59:59.0<NA>384888.83865179411.1653890.019630822<NA>
89약국01_01_06_P3250000PHMD11968325002108400000119680314<NA>3폐업3폐업20100630<NA><NA><NA>051-245-9635<NA><NA>부산광역시 중구 동광동 3가 2-1<NA><NA>금생약국20100630102237I2018-08-31 23:59:59.0<NA><NA><NA>0.019680314<NA>
910약국01_01_06_P3250000PHMD11972325002108400000119720921<NA>3폐업3폐업20100531<NA><NA><NA>051-469-5386<NA><NA>부산광역시 중구 영주동 151-13<NA><NA>아파트약국20100531100915I2018-08-31 23:59:59.0<NA><NA><NA>0.019720921<NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)약국영업면적지정일자Unnamed: 30
43834384약국01_01_06_P3330000PHMD12020333002408400000720200729<NA>1영업/정상13영업중<NA><NA><NA><NA>051-710-6669<NA><NA>부산광역시 해운대구 반송동 194-1 1층부산광역시 해운대구 신반송로 180, 1층 (반송동)48011정문약국20200729141427I2020-07-31 00:23:26.0<NA>396603.468685194362.28784233.020200729<NA>
43844385약국01_01_06_P3330000PHMD12020333002408400000520200626<NA>1영업/정상13영업중<NA><NA><NA><NA>051-744-5999<NA><NA>부산광역시 해운대구 중동 1382-12부산광역시 해운대구 구남로29번길 9 (중동)48095더좋은약사와약국20200626132551I2020-06-28 00:23:16.0<NA>396844.190625186885.10629559.520200626<NA>
43854386약국01_01_06_P3330000PHMD12020333002408400000620200629<NA>1영업/정상13영업중<NA><NA><NA><NA>051-784-7552<NA><NA>부산광역시 해운대구 재송동 1033-8부산광역시 해운대구 재반로 169, 1층 (재송동)48051동산약국20200629101035I2020-07-01 00:23:16.0<NA>393828.10741190277.94098830.020200629<NA>
43864387약국01_01_06_P3330000PHMD12019333002408400000120190102<NA>1영업/정상13영업중<NA><NA><NA><NA>051-544-0090<NA><NA>부산광역시 해운대구 반송동 257번지 151호부산광역시 해운대구 아랫반송로21번길 22, 1층 (반송동)48017반송열린약국20190102151233I2019-01-04 02:20:38.0<NA>395541.808328193962.28367539.020190102<NA>
43874388약국01_01_06_P3330000PHMD12018333002408400002220181126<NA>1영업/정상13영업중<NA><NA><NA><NA>051-711-9070<NA><NA>부산광역시 해운대구 우동 610번지 8호부산광역시 해운대구 중동1로 15-3, 1층 (우동)48095바른약국20181126143626I2018-11-28 02:20:01.0<NA>396865.895742187078.37756837.9720181126<NA>
43884389약국01_01_06_P3330000PHMD12020333002408400000920201210<NA>1영업/정상13영업중<NA><NA><NA><NA>051-526-8900<NA><NA>부산광역시 해운대구 반여동 1639-3 대룡빌딩 102호부산광역시 해운대구 선수촌로 94, 대룡빌딩 102호 (반여동)48037파랑약국20201210101229I2020-12-12 00:23:07.0<NA>392954.654366191266.55781469.320201210<NA>
43894390약국01_01_06_P3330000PHMD12021333002408400000120210104<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 반송동 250-2425부산광역시 해운대구 아랫반송로 33 (반송동)48019류약국20210104111337I2021-01-06 00:23:05.0<NA>395611.775791193815.46749683.320210104<NA>
43904391약국01_01_06_P3330000PHMD12021333002408400000220210122<NA>1영업/정상13영업중<NA><NA><NA><NA>051-523-5551<NA><NA>부산광역시 해운대구 반여동 1465-51 우진빌딩부산광역시 해운대구 선수촌로 65-25, 우진빌딩 (반여동)48038반여약국20210122101111I2021-01-24 00:23:04.0<NA>392777.247484190995.03513294.020210122<NA>
43914392약국01_01_06_P3330000PHMD12010333002408400001520100319<NA>4취소/말소/만료/정지/중지24직권폐업20160922<NA><NA><NA>051-545-2211<NA>612082부산광역시 해운대구 반송2동 899번지부산광역시 해운대구 신반송로 203-5 (반송동)48009김태윤약국20160922091657I2018-08-31 23:59:59.0<NA>396389.662272194440.43099126.420100319<NA>
43924393약국01_01_06_P3330000PHMD11976333002408400000319760511<NA>4취소/말소/만료/정지/중지24직권폐업20170223<NA><NA><NA>051-783-0372<NA>612812부산광역시 해운대구 반여동 1291번지 176호부산광역시 해운대구 재반로242번길 12 (반여동)48027모범약국20170224083650I2018-08-31 23:59:59.0<NA>394096.342139190896.8259950.019760511<NA>