Overview

Dataset statistics

Number of variables32
Number of observations8736
Missing cells88362
Missing cells (%)31.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 MiB
Average record size in memory277.0 B

Variable types

Numeric9
Categorical9
Text5
Unsupported8
DateTime1

Dataset

Description22년06월_6270000_대구광역시_01_02_03_P_의료기기판매(임대)업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000093759&dataSetDetailId=DDI_0000093845&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
휴업시작일자 is highly imbalanced (99.8%)Imbalance
휴업종료일자 is highly imbalanced (99.8%)Imbalance
인허가취소일자 has 8736 (100.0%) missing valuesMissing
폐업일자 has 5291 (60.6%) missing valuesMissing
재개업일자 has 8736 (100.0%) missing valuesMissing
소재지전화 has 5064 (58.0%) missing valuesMissing
소재지면적 has 8736 (100.0%) missing valuesMissing
소재지우편번호 has 5116 (58.6%) missing valuesMissing
소재지전체주소 has 492 (5.6%) missing valuesMissing
도로명전체주소 has 412 (4.7%) missing valuesMissing
도로명우편번호 has 1083 (12.4%) missing valuesMissing
업태구분명 has 8736 (100.0%) missing valuesMissing
좌표정보(X) has 508 (5.8%) missing valuesMissing
좌표정보(Y) has 508 (5.8%) missing valuesMissing
수리대상 의료기기의 유형 has 8736 (100.0%) missing valuesMissing
다른 겸업 여부 has 8736 (100.0%) missing valuesMissing
총규모 has 8736 (100.0%) missing valuesMissing
영업규모 has 8736 (100.0%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
수리대상 의료기기의 유형 is an unsupported type, check if it needs cleaning or further analysisUnsupported
다른 겸업 여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총규모 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영업규모 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-18 05:19:00.852449
Analysis finished2024-04-18 05:19:02.355957
Duration1.5 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct8736
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4368.5
Minimum1
Maximum8736
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size76.9 KiB
2024-04-18T14:19:02.421816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile437.75
Q12184.75
median4368.5
Q36552.25
95-th percentile8299.25
Maximum8736
Range8735
Interquartile range (IQR)4367.5

Descriptive statistics

Standard deviation2522.0103
Coefficient of variation (CV)0.57731723
Kurtosis-1.2
Mean4368.5
Median Absolute Deviation (MAD)2184
Skewness0
Sum38163216
Variance6360536
MonotonicityStrictly increasing
2024-04-18T14:19:02.554687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
5828 1
 
< 0.1%
5822 1
 
< 0.1%
5823 1
 
< 0.1%
5824 1
 
< 0.1%
5825 1
 
< 0.1%
5826 1
 
< 0.1%
5827 1
 
< 0.1%
5829 1
 
< 0.1%
5871 1
 
< 0.1%
Other values (8726) 8726
99.9%
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 (%)
8736 1
< 0.1%
8735 1
< 0.1%
8734 1
< 0.1%
8733 1
< 0.1%
8732 1
< 0.1%
8731 1
< 0.1%
8730 1
< 0.1%
8729 1
< 0.1%
8728 1
< 0.1%
8727 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
의료기기판매(임대)업
8736 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row의료기기판매(임대)업
2nd row의료기기판매(임대)업
3rd row의료기기판매(임대)업
4th row의료기기판매(임대)업
5th row의료기기판매(임대)업

Common Values

ValueCountFrequency (%)
의료기기판매(임대)업 8736
100.0%

Length

2024-04-18T14:19:02.674650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:19:02.769746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의료기기판매(임대)업 8736
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
01_02_03_P
8736 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row01_02_03_P
2nd row01_02_03_P
3rd row01_02_03_P
4th row01_02_03_P
5th row01_02_03_P

Common Values

ValueCountFrequency (%)
01_02_03_P 8736
100.0%

Length

2024-04-18T14:19:02.871840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:19:02.982258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01_02_03_p 8736
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3444860.3
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size76.9 KiB
2024-04-18T14:19:03.074889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13420000
median3450000
Q33460000
95-th percentile3470000
Maximum3480000
Range70000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation21989.303
Coefficient of variation (CV)0.0063832204
Kurtosis-1.2773795
Mean3444860.3
Median Absolute Deviation (MAD)20000
Skewness-0.20759562
Sum3.00943 × 1010
Variance4.8352944 × 108
MonotonicityIncreasing
2024-04-18T14:19:03.186897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 1615
18.5%
3450000 1429
16.4%
3460000 1413
16.2%
3420000 1404
16.1%
3410000 1067
12.2%
3440000 808
9.2%
3430000 569
 
6.5%
3480000 431
 
4.9%
ValueCountFrequency (%)
3410000 1067
12.2%
3420000 1404
16.1%
3430000 569
 
6.5%
3440000 808
9.2%
3450000 1429
16.4%
3460000 1413
16.2%
3470000 1615
18.5%
3480000 431
 
4.9%
ValueCountFrequency (%)
3480000 431
 
4.9%
3470000 1615
18.5%
3460000 1413
16.2%
3450000 1429
16.4%
3440000 808
9.2%
3430000 569
 
6.5%
3420000 1404
16.1%
3410000 1067
12.2%

관리번호
Text

UNIQUE 

Distinct8736
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2024-04-18T14:19:03.376758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters218400
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

Unique8736 ?
Unique (%)100.0%

Sample

1st rowPHMG120213410023047000014
2nd rowPHMG120213410023047000017
3rd rowPHMG120183410023047000057
4th rowPHMG120183410023047000058
5th rowPHMG120183410023047000051
ValueCountFrequency (%)
phmg120213410023047000014 1
 
< 0.1%
phmg120153460023047000049 1
 
< 0.1%
phmg120133460023047000028 1
 
< 0.1%
phmg120163460023047000007 1
 
< 0.1%
phmg120163460023047000006 1
 
< 0.1%
phmg120163460023047000003 1
 
< 0.1%
phmg120153460023047000052 1
 
< 0.1%
phmg120153460023047000051 1
 
< 0.1%
phmg120043460023047000022 1
 
< 0.1%
phmg120063460023047000012 1
 
< 0.1%
Other values (8726) 8726
99.9%
2024-04-18T14:19:03.714629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 74020
33.9%
2 27777
 
12.7%
4 21825
 
10.0%
1 19770
 
9.1%
3 15629
 
7.2%
7 12213
 
5.6%
P 8736
 
4.0%
H 8736
 
4.0%
M 8736
 
4.0%
G 8736
 
4.0%
Other values (4) 12222
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 183456
84.0%
Uppercase Letter 34944
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 74020
40.3%
2 27777
 
15.1%
4 21825
 
11.9%
1 19770
 
10.8%
3 15629
 
8.5%
7 12213
 
6.7%
5 3738
 
2.0%
6 3540
 
1.9%
9 2599
 
1.4%
8 2345
 
1.3%
Uppercase Letter
ValueCountFrequency (%)
P 8736
25.0%
H 8736
25.0%
M 8736
25.0%
G 8736
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 183456
84.0%
Latin 34944
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 74020
40.3%
2 27777
 
15.1%
4 21825
 
11.9%
1 19770
 
10.8%
3 15629
 
8.5%
7 12213
 
6.7%
5 3738
 
2.0%
6 3540
 
1.9%
9 2599
 
1.4%
8 2345
 
1.3%
Latin
ValueCountFrequency (%)
P 8736
25.0%
H 8736
25.0%
M 8736
25.0%
G 8736
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 218400
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 74020
33.9%
2 27777
 
12.7%
4 21825
 
10.0%
1 19770
 
9.1%
3 15629
 
7.2%
7 12213
 
5.6%
P 8736
 
4.0%
H 8736
 
4.0%
M 8736
 
4.0%
G 8736
 
4.0%
Other values (4) 12222
 
5.6%

인허가일자
Real number (ℝ)

Distinct3700
Distinct (%)42.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20146987
Minimum19721211
Maximum20220630
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size76.9 KiB
2024-04-18T14:19:03.862012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19721211
5-th percentile20041112
Q120110330
median20150715
Q320200625
95-th percentile20220216
Maximum20220630
Range499419
Interquartile range (IQR)90295.25

Descriptive statistics

Standard deviation59123.32
Coefficient of variation (CV)0.0029345986
Kurtosis1.1373472
Mean20146987
Median Absolute Deviation (MAD)49593.5
Skewness-0.82257047
Sum1.7600408 × 1011
Variance3.495567 × 109
MonotonicityNot monotonic
2024-04-18T14:19:04.009601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210506 119
 
1.4%
20220208 96
 
1.1%
20220204 80
 
0.9%
20220207 73
 
0.8%
20220209 71
 
0.8%
20220203 67
 
0.8%
20220210 61
 
0.7%
20141031 59
 
0.7%
20220215 52
 
0.6%
20220214 51
 
0.6%
Other values (3690) 8007
91.7%
ValueCountFrequency (%)
19721211 1
< 0.1%
19770413 1
< 0.1%
19790426 1
< 0.1%
19801218 1
< 0.1%
19821202 1
< 0.1%
19841023 1
< 0.1%
19841026 1
< 0.1%
19841102 1
< 0.1%
19870527 1
< 0.1%
19870824 1
< 0.1%
ValueCountFrequency (%)
20220630 4
< 0.1%
20220629 5
0.1%
20220628 1
 
< 0.1%
20220627 2
 
< 0.1%
20220624 5
0.1%
20220623 2
 
< 0.1%
20220622 6
0.1%
20220621 6
0.1%
20220620 3
< 0.1%
20220617 1
 
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing8736
Missing (%)100.0%
Memory size76.9 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
1
5289 
3
3304 
4
 
141
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 5289
60.5%
3 3304
37.8%
4 141
 
1.6%
2 2
 
< 0.1%

Length

2024-04-18T14:19:04.142927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:19:04.246342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 5289
60.5%
3 3304
37.8%
4 141
 
1.6%
2 2
 
< 0.1%

영업상태명
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
영업/정상
5289 
폐업
3304 
취소/말소/만료/정지/중지
 
141
휴업
 
2

Length

Max length14
Median length5
Mean length4.0099588
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 5289
60.5%
폐업 3304
37.8%
취소/말소/만료/정지/중지 141
 
1.6%
휴업 2
 
< 0.1%

Length

2024-04-18T14:19:04.352888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:19:04.458193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 5289
60.5%
폐업 3304
37.8%
취소/말소/만료/정지/중지 141
 
1.6%
휴업 2
 
< 0.1%

상세영업상태코드
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
13
5289 
3
3304 
24
 
141
2
 
2

Length

Max length2
Median length2
Mean length1.6215659
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 5289
60.5%
3 3304
37.8%
24 141
 
1.6%
2 2
 
< 0.1%

Length

2024-04-18T14:19:04.581457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:19:04.712535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 5289
60.5%
3 3304
37.8%
24 141
 
1.6%
2 2
 
< 0.1%

상세영업상태명
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
영업중
5289 
폐업
3304 
직권폐업
 
141
휴업
 
2

Length

Max length4
Median length3
Mean length2.637706
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 5289
60.5%
폐업 3304
37.8%
직권폐업 141
 
1.6%
휴업 2
 
< 0.1%

Length

2024-04-18T14:19:04.828018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:19:04.952721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 5289
60.5%
폐업 3304
37.8%
직권폐업 141
 
1.6%
휴업 2
 
< 0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct1920
Distinct (%)55.7%
Missing5291
Missing (%)60.6%
Infinite0
Infinite (%)0.0%
Mean20152264
Minimum20050218
Maximum20220629
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size76.9 KiB
2024-04-18T14:19:05.071388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20050218
5-th percentile20090545
Q120130107
median20151229
Q320180416
95-th percentile20211024
Maximum20220629
Range170411
Interquartile range (IQR)50309

Descriptive statistics

Standard deviation37051.094
Coefficient of variation (CV)0.0018385574
Kurtosis-0.78193602
Mean20152264
Median Absolute Deviation (MAD)29182
Skewness-0.10243947
Sum6.942455 × 1010
Variance1.3727836 × 109
MonotonicityNot monotonic
2024-04-18T14:19:05.227533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20161229 98
 
1.1%
20170621 65
 
0.7%
20161230 46
 
0.5%
20161228 29
 
0.3%
20191011 21
 
0.2%
20191008 21
 
0.2%
20191010 19
 
0.2%
20191119 12
 
0.1%
20191015 12
 
0.1%
20160927 11
 
0.1%
Other values (1910) 3111
35.6%
(Missing) 5291
60.6%
ValueCountFrequency (%)
20050218 1
< 0.1%
20050305 1
< 0.1%
20060125 1
< 0.1%
20060811 1
< 0.1%
20060828 1
< 0.1%
20060901 2
< 0.1%
20061127 1
< 0.1%
20071031 1
< 0.1%
20080704 2
< 0.1%
20080805 1
< 0.1%
ValueCountFrequency (%)
20220629 2
< 0.1%
20220628 1
 
< 0.1%
20220624 3
< 0.1%
20220623 3
< 0.1%
20220622 2
< 0.1%
20220621 1
 
< 0.1%
20220620 3
< 0.1%
20220615 1
 
< 0.1%
20220609 2
< 0.1%
20220608 2
< 0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
<NA>
8734 
20180726
 
1
20170215
 
1

Length

Max length8
Median length4
Mean length4.0009158
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> 8734
> 99.9%
20180726 1
 
< 0.1%
20170215 1
 
< 0.1%

Length

2024-04-18T14:19:05.371392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:19:05.483716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8734
> 99.9%
20180726 1
 
< 0.1%
20170215 1
 
< 0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
<NA>
8733 
20190726
 
1
99991231
 
1
20200215
 
1

Length

Max length8
Median length4
Mean length4.0013736
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> 8733
> 99.9%
20190726 1
 
< 0.1%
99991231 1
 
< 0.1%
20200215 1
 
< 0.1%

Length

2024-04-18T14:19:05.596010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:19:05.708679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8733
> 99.9%
20190726 1
 
< 0.1%
99991231 1
 
< 0.1%
20200215 1
 
< 0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing8736
Missing (%)100.0%
Memory size76.9 KiB

소재지전화
Text

MISSING 

Distinct3405
Distinct (%)92.7%
Missing5064
Missing (%)58.0%
Memory size68.4 KiB
2024-04-18T14:19:05.913279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length10.53622
Min length2

Characters and Unicode

Total characters38689
Distinct characters17
Distinct categories7 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3194 ?
Unique (%)87.0%

Sample

1st row07089776606
2nd row053-253-5049
3rd row053-957-1152
4th row053-624-1600
5th row053-982-3655
ValueCountFrequency (%)
28
 
0.8%
053 7
 
0.2%
053-742-0955 4
 
0.1%
053-627-6551 4
 
0.1%
053-656-5675 4
 
0.1%
424-1124 4
 
0.1%
053-754-9141 4
 
0.1%
053-623-3140 4
 
0.1%
765-7047 3
 
0.1%
053-521-8276 3
 
0.1%
Other values (3397) 3615
98.2%
2024-04-18T14:19:06.276130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 5899
15.2%
- 5770
14.9%
3 4698
12.1%
0 4566
11.8%
2 3212
8.3%
7 2897
7.5%
6 2595
6.7%
4 2497
6.5%
1 2450
6.3%
8 2135
 
5.5%
Other values (7) 1970
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 32822
84.8%
Dash Punctuation 5770
 
14.9%
Close Punctuation 82
 
0.2%
Space Separator 8
 
< 0.1%
Math Symbol 3
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 5899
18.0%
3 4698
14.3%
0 4566
13.9%
2 3212
9.8%
7 2897
8.8%
6 2595
7.9%
4 2497
7.6%
1 2450
7.5%
8 2135
 
6.5%
9 1873
 
5.7%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
/ 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 5770
100.0%
Close Punctuation
ValueCountFrequency (%)
) 82
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 38689
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 5899
15.2%
- 5770
14.9%
3 4698
12.1%
0 4566
11.8%
2 3212
8.3%
7 2897
7.5%
6 2595
6.7%
4 2497
6.5%
1 2450
6.3%
8 2135
 
5.5%
Other values (7) 1970
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 38689
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 5899
15.2%
- 5770
14.9%
3 4698
12.1%
0 4566
11.8%
2 3212
8.3%
7 2897
7.5%
6 2595
6.7%
4 2497
6.5%
1 2450
6.3%
8 2135
 
5.5%
Other values (7) 1970
 
5.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing8736
Missing (%)100.0%
Memory size76.9 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct683
Distinct (%)18.9%
Missing5116
Missing (%)58.6%
Infinite0
Infinite (%)0.0%
Mean698527.52
Minimum41074
Maximum711891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size76.9 KiB
2024-04-18T14:19:06.420269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41074
5-th percentile700421
Q1701842.75
median703812
Q3705800
95-th percentile706830.05
Maximum711891
Range670817
Interquartile range (IQR)3957.25

Descriptive statistics

Standard deviation59016.659
Coefficient of variation (CV)0.084487235
Kurtosis119.64739
Mean698527.52
Median Absolute Deviation (MAD)1970.5
Skewness-11.018092
Sum2.5286696 × 109
Variance3.482966 × 109
MonotonicityNot monotonic
2024-04-18T14:19:06.558996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
701827 50
 
0.6%
702894 39
 
0.4%
706170 34
 
0.4%
702010 33
 
0.4%
702845 32
 
0.4%
700413 31
 
0.4%
704834 30
 
0.3%
700847 30
 
0.3%
701829 29
 
0.3%
701824 25
 
0.3%
Other values (673) 3287
37.6%
(Missing) 5116
58.6%
ValueCountFrequency (%)
41074 1
< 0.1%
41239 1
< 0.1%
41252 1
< 0.1%
41265 1
< 0.1%
41906 1
< 0.1%
41927 1
< 0.1%
41937 1
< 0.1%
41941 1
< 0.1%
41942 1
< 0.1%
41954 1
< 0.1%
ValueCountFrequency (%)
711891 3
< 0.1%
711883 1
 
< 0.1%
711874 1
 
< 0.1%
711872 2
 
< 0.1%
711870 1
 
< 0.1%
711865 5
0.1%
711854 2
 
< 0.1%
711852 1
 
< 0.1%
711851 1
 
< 0.1%
711850 3
< 0.1%

소재지전체주소
Text

MISSING 

Distinct3522
Distinct (%)42.7%
Missing492
Missing (%)5.6%
Memory size68.4 KiB
2024-04-18T14:19:06.867233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length48
Mean length23.307618
Min length8

Characters and Unicode

Total characters192148
Distinct characters445
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2324 ?
Unique (%)28.2%

Sample

1st row대구광역시 중구 장관동 **
2nd row대구광역시 중구 동인동*가 ***번지 *호
3rd row대구광역시 중구 남일동 **번지
4th row대구광역시 중구 동인동*가 ***번지 *호
5th row대구광역시 중구 남산동 ***번지 **호
ValueCountFrequency (%)
대구광역시 8200
19.9%
번지 4924
 
12.0%
호 4638
 
11.3%
2832
 
6.9%
층 1557
 
3.8%
달서구 1520
 
3.7%
북구 1427
 
3.5%
동구 1345
 
3.3%
수성구 1289
 
3.1%
중구 929
 
2.3%
Other values (1398) 12497
30.4%
2024-04-18T14:19:08.094343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 41655
21.7%
33048
17.2%
구 16325
 
8.5%
동 9851
 
5.1%
대 9289
 
4.8%
시 8369
 
4.4%
역 8274
 
4.3%
광 8224
 
4.3%
지 5590
 
2.9%
번 4934
 
2.6%
Other values (435) 46589
24.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 113215
58.9%
Other Punctuation 41835
 
21.8%
Space Separator 33048
 
17.2%
Dash Punctuation 2554
 
1.3%
Open Punctuation 596
 
0.3%
Close Punctuation 594
 
0.3%
Uppercase Letter 203
 
0.1%
Math Symbol 65
 
< 0.1%
Lowercase Letter 38
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 16325
14.4%
동 9851
 
8.7%
대 9289
 
8.2%
시 8369
 
7.4%
역 8274
 
7.3%
광 8224
 
7.3%
지 5590
 
4.9%
번 4934
 
4.4%
호 4902
 
4.3%
성 2404
 
2.1%
Other values (386) 35053
31.0%
Uppercase Letter
ValueCountFrequency (%)
A 45
22.2%
B 34
16.7%
C 14
 
6.9%
T 13
 
6.4%
S 12
 
5.9%
L 11
 
5.4%
H 10
 
4.9%
D 10
 
4.9%
K 9
 
4.4%
O 8
 
3.9%
Other values (13) 37
18.2%
Lowercase Letter
ValueCountFrequency (%)
e 19
50.0%
s 6
 
15.8%
l 2
 
5.3%
d 2
 
5.3%
m 2
 
5.3%
t 1
 
2.6%
y 1
 
2.6%
a 1
 
2.6%
k 1
 
2.6%
u 1
 
2.6%
Other values (2) 2
 
5.3%
Other Punctuation
ValueCountFrequency (%)
* 41655
99.6%
, 115
 
0.3%
. 45
 
0.1%
/ 16
 
< 0.1%
· 2
 
< 0.1%
& 1
 
< 0.1%
: 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
< 25
38.5%
> 25
38.5%
~ 15
23.1%
Space Separator
ValueCountFrequency (%)
33048
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2554
100.0%
Open Punctuation
ValueCountFrequency (%)
( 596
100.0%
Close Punctuation
ValueCountFrequency (%)
) 594
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 113215
58.9%
Common 78692
41.0%
Latin 241
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 16325
14.4%
동 9851
 
8.7%
대 9289
 
8.2%
시 8369
 
7.4%
역 8274
 
7.3%
광 8224
 
7.3%
지 5590
 
4.9%
번 4934
 
4.4%
호 4902
 
4.3%
성 2404
 
2.1%
Other values (386) 35053
31.0%
Latin
ValueCountFrequency (%)
A 45
18.7%
B 34
14.1%
e 19
 
7.9%
C 14
 
5.8%
T 13
 
5.4%
S 12
 
5.0%
L 11
 
4.6%
H 10
 
4.1%
D 10
 
4.1%
K 9
 
3.7%
Other values (25) 64
26.6%
Common
ValueCountFrequency (%)
* 41655
52.9%
33048
42.0%
- 2554
 
3.2%
( 596
 
0.8%
) 594
 
0.8%
, 115
 
0.1%
. 45
 
0.1%
< 25
 
< 0.1%
> 25
 
< 0.1%
/ 16
 
< 0.1%
Other values (4) 19
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 113215
58.9%
ASCII 78931
41.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 41655
52.8%
33048
41.9%
- 2554
 
3.2%
( 596
 
0.8%
) 594
 
0.8%
, 115
 
0.1%
A 45
 
0.1%
. 45
 
0.1%
B 34
 
< 0.1%
< 25
 
< 0.1%
Other values (38) 220
 
0.3%
Hangul
ValueCountFrequency (%)
구 16325
14.4%
동 9851
 
8.7%
대 9289
 
8.2%
시 8369
 
7.4%
역 8274
 
7.3%
광 8224
 
7.3%
지 5590
 
4.9%
번 4934
 
4.4%
호 4902
 
4.3%
성 2404
 
2.1%
Other values (386) 35053
31.0%
None
ValueCountFrequency (%)
· 2
100.0%

도로명전체주소
Text

MISSING 

Distinct5164
Distinct (%)62.0%
Missing412
Missing (%)4.7%
Memory size68.4 KiB
2024-04-18T14:19:08.447407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length59
Mean length29.293609
Min length15

Characters and Unicode

Total characters243840
Distinct characters482
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3797 ?
Unique (%)45.6%

Sample

1st row대구광역시 중구 중앙대로**길 **-*, *층 (장관동)
2nd row대구광역시 중구 국채보상로***길 **-*, 지하*층 (동인동*가)
3rd row대구광역시 중구 국채보상로***길 *, *층 ***호 (동인동*가)
4th row대구광역시 중구 중앙대로 ***-*, 지하*층 (남일동)
5th row대구광역시 중구 태평로 ***, *층 (동인동*가)
ValueCountFrequency (%)
대구광역시 8322
16.8%
7978
 
16.1%
층 3713
 
7.5%
호 1542
 
3.1%
달서구 1505
 
3.0%
동구 1399
 
2.8%
북구 1369
 
2.8%
수성구 1323
 
2.7%
중구 970
 
2.0%
남구 803
 
1.6%
Other values (2286) 20492
41.5%
2024-04-18T14:19:08.914652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
41145
16.9%
* 39701
16.3%
구 17446
 
7.2%
동 11730
 
4.8%
대 11075
 
4.5%
시 8572
 
3.5%
역 8442
 
3.5%
광 8346
 
3.4%
로 8212
 
3.4%
( 8151
 
3.3%
Other values (472) 81020
33.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 138546
56.8%
Other Punctuation 45989
 
18.9%
Space Separator 41145
 
16.9%
Open Punctuation 8151
 
3.3%
Close Punctuation 8151
 
3.3%
Dash Punctuation 1435
 
0.6%
Uppercase Letter 289
 
0.1%
Math Symbol 89
 
< 0.1%
Lowercase Letter 45
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 17446
 
12.6%
동 11730
 
8.5%
대 11075
 
8.0%
시 8572
 
6.2%
역 8442
 
6.1%
광 8346
 
6.0%
로 8212
 
5.9%
층 4194
 
3.0%
길 3510
 
2.5%
성 3051
 
2.2%
Other values (421) 53968
39.0%
Uppercase Letter
ValueCountFrequency (%)
A 82
28.4%
B 56
19.4%
C 21
 
7.3%
L 17
 
5.9%
S 15
 
5.2%
H 14
 
4.8%
E 9
 
3.1%
K 9
 
3.1%
T 9
 
3.1%
D 9
 
3.1%
Other values (15) 48
16.6%
Lowercase Letter
ValueCountFrequency (%)
e 20
44.4%
s 6
 
13.3%
m 3
 
6.7%
o 2
 
4.4%
p 2
 
4.4%
l 2
 
4.4%
u 2
 
4.4%
d 2
 
4.4%
b 2
 
4.4%
c 2
 
4.4%
Other values (2) 2
 
4.4%
Other Punctuation
ValueCountFrequency (%)
* 39701
86.3%
, 6266
 
13.6%
/ 10
 
< 0.1%
· 8
 
< 0.1%
. 3
 
< 0.1%
& 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 38
42.7%
> 25
28.1%
< 25
28.1%
+ 1
 
1.1%
Space Separator
ValueCountFrequency (%)
41145
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8151
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8151
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1435
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 138546
56.8%
Common 104960
43.0%
Latin 334
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 17446
 
12.6%
동 11730
 
8.5%
대 11075
 
8.0%
시 8572
 
6.2%
역 8442
 
6.1%
광 8346
 
6.0%
로 8212
 
5.9%
층 4194
 
3.0%
길 3510
 
2.5%
성 3051
 
2.2%
Other values (421) 53968
39.0%
Latin
ValueCountFrequency (%)
A 82
24.6%
B 56
16.8%
C 21
 
6.3%
e 20
 
6.0%
L 17
 
5.1%
S 15
 
4.5%
H 14
 
4.2%
E 9
 
2.7%
K 9
 
2.7%
T 9
 
2.7%
Other values (27) 82
24.6%
Common
ValueCountFrequency (%)
41145
39.2%
* 39701
37.8%
( 8151
 
7.8%
) 8151
 
7.8%
, 6266
 
6.0%
- 1435
 
1.4%
~ 38
 
< 0.1%
> 25
 
< 0.1%
< 25
 
< 0.1%
/ 10
 
< 0.1%
Other values (4) 13
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 138546
56.8%
ASCII 105286
43.2%
None 8
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
41145
39.1%
* 39701
37.7%
( 8151
 
7.7%
) 8151
 
7.7%
, 6266
 
6.0%
- 1435
 
1.4%
A 82
 
0.1%
B 56
 
0.1%
~ 38
 
< 0.1%
> 25
 
< 0.1%
Other values (40) 236
 
0.2%
Hangul
ValueCountFrequency (%)
구 17446
 
12.6%
동 11730
 
8.5%
대 11075
 
8.0%
시 8572
 
6.2%
역 8442
 
6.1%
광 8346
 
6.0%
로 8212
 
5.9%
층 4194
 
3.0%
길 3510
 
2.5%
성 3051
 
2.2%
Other values (421) 53968
39.0%
None
ValueCountFrequency (%)
· 8
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct1555
Distinct (%)20.3%
Missing1083
Missing (%)12.4%
Infinite0
Infinite (%)0.0%
Mean106587.55
Minimum5510
Maximum711874
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size76.9 KiB
2024-04-18T14:19:09.056057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5510
5-th percentile41111
Q141519
median42063
Q342679
95-th percentile702889.2
Maximum711874
Range706364
Interquartile range (IQR)1160

Descriptive statistics

Standard deviation196422.6
Coefficient of variation (CV)1.8428286
Kurtosis5.3577079
Mean106587.55
Median Absolute Deviation (MAD)578
Skewness2.7121985
Sum8.1571455 × 108
Variance3.8581837 × 1010
MonotonicityNot monotonic
2024-04-18T14:19:09.188486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41505 54
 
0.6%
41251 38
 
0.4%
41518 35
 
0.4%
41940 34
 
0.4%
41937 31
 
0.4%
41422 31
 
0.4%
41907 30
 
0.3%
42430 29
 
0.3%
41477 28
 
0.3%
41423 27
 
0.3%
Other values (1545) 7316
83.7%
(Missing) 1083
 
12.4%
ValueCountFrequency (%)
5510 1
 
< 0.1%
38066 1
 
< 0.1%
41000 2
 
< 0.1%
41001 2
 
< 0.1%
41002 3
 
< 0.1%
41003 9
0.1%
41004 1
 
< 0.1%
41005 4
< 0.1%
41007 5
0.1%
41009 1
 
< 0.1%
ValueCountFrequency (%)
711874 1
 
< 0.1%
711838 1
 
< 0.1%
711837 4
< 0.1%
711836 1
 
< 0.1%
711833 2
< 0.1%
711830 1
 
< 0.1%
711815 1
 
< 0.1%
711812 2
< 0.1%
711775 1
 
< 0.1%
711715 1
 
< 0.1%

사업장명
Text

Distinct7622
Distinct (%)87.2%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2024-04-18T14:19:09.431386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length23
Mean length7.63038
Min length2

Characters and Unicode

Total characters66659
Distinct characters789
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6897 ?
Unique (%)78.9%

Sample

1st row중앙생활건강
2nd row유일메디칼
3rd row한메디칼
4th row빅스메디
5th row디에스메디랩
ValueCountFrequency (%)
세븐일레븐 450
 
3.9%
주식회사 292
 
2.5%
씨유 287
 
2.5%
gs25 211
 
1.8%
지에스25 110
 
1.0%
이마트24 48
 
0.4%
주)코리아세븐 34
 
0.3%
cu 33
 
0.3%
메디칼 28
 
0.2%
에치와이 24
 
0.2%
Other values (7622) 9935
86.8%
2024-04-18T14:19:09.805176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2719
 
4.1%
점 2583
 
3.9%
디 1965
 
2.9%
메 1897
 
2.8%
대 1881
 
2.8%
이 1756
 
2.6%
스 1642
 
2.5%
구 1496
 
2.2%
주 1271
 
1.9%
) 1100
 
1.7%
Other values (779) 48349
72.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 57939
86.9%
Space Separator 2719
 
4.1%
Uppercase Letter 1848
 
2.8%
Decimal Number 1343
 
2.0%
Close Punctuation 1100
 
1.7%
Open Punctuation 1081
 
1.6%
Lowercase Letter 377
 
0.6%
Other Symbol 148
 
0.2%
Other Punctuation 89
 
0.1%
Dash Punctuation 13
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 2583
 
4.5%
디 1965
 
3.4%
메 1897
 
3.3%
대 1881
 
3.2%
이 1756
 
3.0%
스 1642
 
2.8%
구 1496
 
2.6%
주 1271
 
2.2%
븐 1064
 
1.8%
칼 1009
 
1.7%
Other values (708) 41375
71.4%
Uppercase Letter
ValueCountFrequency (%)
S 438
23.7%
G 358
19.4%
C 184
10.0%
U 120
 
6.5%
M 98
 
5.3%
H 64
 
3.5%
K 60
 
3.2%
D 55
 
3.0%
A 53
 
2.9%
T 50
 
2.7%
Other values (15) 368
19.9%
Lowercase Letter
ValueCountFrequency (%)
e 55
14.6%
a 38
 
10.1%
i 27
 
7.2%
s 26
 
6.9%
c 24
 
6.4%
l 21
 
5.6%
o 20
 
5.3%
h 19
 
5.0%
n 19
 
5.0%
m 19
 
5.0%
Other values (15) 109
28.9%
Decimal Number
ValueCountFrequency (%)
2 606
45.1%
5 492
36.6%
4 86
 
6.4%
1 54
 
4.0%
3 47
 
3.5%
0 36
 
2.7%
6 9
 
0.7%
8 8
 
0.6%
9 3
 
0.2%
7 2
 
0.1%
Other Punctuation
ValueCountFrequency (%)
. 41
46.1%
& 40
44.9%
/ 5
 
5.6%
· 2
 
2.2%
, 1
 
1.1%
Space Separator
ValueCountFrequency (%)
2719
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1100
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1081
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 148
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 58084
87.1%
Common 6347
 
9.5%
Latin 2225
 
3.3%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 2583
 
4.4%
디 1965
 
3.4%
메 1897
 
3.3%
대 1881
 
3.2%
이 1756
 
3.0%
스 1642
 
2.8%
구 1496
 
2.6%
주 1271
 
2.2%
븐 1064
 
1.8%
칼 1009
 
1.7%
Other values (707) 41520
71.5%
Latin
ValueCountFrequency (%)
S 438
19.7%
G 358
16.1%
C 184
 
8.3%
U 120
 
5.4%
M 98
 
4.4%
H 64
 
2.9%
K 60
 
2.7%
D 55
 
2.5%
e 55
 
2.5%
A 53
 
2.4%
Other values (40) 740
33.3%
Common
ValueCountFrequency (%)
2719
42.8%
) 1100
17.3%
( 1081
 
17.0%
2 606
 
9.5%
5 492
 
7.8%
4 86
 
1.4%
1 54
 
0.9%
3 47
 
0.7%
. 41
 
0.6%
& 40
 
0.6%
Other values (10) 81
 
1.3%
Han
ValueCountFrequency (%)
舜 2
66.7%
愛 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 57936
86.9%
ASCII 8570
 
12.9%
None 150
 
0.2%
CJK 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2719
31.7%
) 1100
12.8%
( 1081
 
12.6%
2 606
 
7.1%
5 492
 
5.7%
S 438
 
5.1%
G 358
 
4.2%
C 184
 
2.1%
U 120
 
1.4%
M 98
 
1.1%
Other values (59) 1374
16.0%
Hangul
ValueCountFrequency (%)
점 2583
 
4.5%
디 1965
 
3.4%
메 1897
 
3.3%
대 1881
 
3.2%
이 1756
 
3.0%
스 1642
 
2.8%
구 1496
 
2.6%
주 1271
 
2.2%
븐 1064
 
1.8%
칼 1009
 
1.7%
Other values (706) 41372
71.4%
None
ValueCountFrequency (%)
㈜ 148
98.7%
· 2
 
1.3%
CJK
ValueCountFrequency (%)
舜 2
66.7%
愛 1
33.3%

최종수정시점
Real number (ℝ)

Distinct8717
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0172885 × 1013
Minimum2.008091 × 1013
Maximum2.022063 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size76.9 KiB
2024-04-18T14:19:09.949955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.008091 × 1013
5-th percentile2.0100812 × 1013
Q12.0141105 × 1013
median2.0180309 × 1013
Q32.0210506 × 1013
95-th percentile2.0220328 × 1013
Maximum2.022063 × 1013
Range1.3972017 × 1011
Interquartile range (IQR)6.9401185 × 1010

Descriptive statistics

Standard deviation3.9105882 × 1010
Coefficient of variation (CV)0.0019385369
Kurtosis-0.85027877
Mean2.0172885 × 1013
Median Absolute Deviation (MAD)3.0201574 × 1010
Skewness-0.48709939
Sum1.7623032 × 1017
Variance1.52927 × 1021
MonotonicityNot monotonic
2024-04-18T14:19:10.088609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20081202154807 7
 
0.1%
20081202154808 6
 
0.1%
20081202154810 4
 
< 0.1%
20081202154809 3
 
< 0.1%
20081202154805 3
 
< 0.1%
20100317085645 2
 
< 0.1%
20160218093346 1
 
< 0.1%
20170302101804 1
 
< 0.1%
20190411084947 1
 
< 0.1%
20161121174116 1
 
< 0.1%
Other values (8707) 8707
99.7%
ValueCountFrequency (%)
20080910000000 1
< 0.1%
20081114153216 1
< 0.1%
20081114153719 1
< 0.1%
20081114154042 1
< 0.1%
20081114154220 1
< 0.1%
20081114154344 1
< 0.1%
20081114154810 1
< 0.1%
20081114154953 1
< 0.1%
20081114155727 1
< 0.1%
20081114155839 1
< 0.1%
ValueCountFrequency (%)
20220630174254 1
< 0.1%
20220630144919 1
< 0.1%
20220630114445 1
< 0.1%
20220630113837 1
< 0.1%
20220630113817 1
< 0.1%
20220630112416 1
< 0.1%
20220630112158 1
< 0.1%
20220629164854 1
< 0.1%
20220629162714 1
< 0.1%
20220629152320 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
I
7091 
U
1645 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 7091
81.2%
U 1645
 
18.8%

Length

2024-04-18T14:19:10.234810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:19:10.328811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 7091
81.2%
u 1645
 
18.8%

데이터갱신일자
Date

Distinct1430
Distinct (%)16.4%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
Minimum2018-08-31 23:59:59
Maximum2022-07-02 02:40:00
2024-04-18T14:19:10.441868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T14:19:10.573867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing8736
Missing (%)100.0%
Memory size76.9 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct5710
Distinct (%)69.4%
Missing508
Missing (%)5.8%
Infinite0
Infinite (%)0.0%
Mean343498.12
Minimum208836.19
Maximum398099.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size76.9 KiB
2024-04-18T14:19:10.731234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum208836.19
5-th percentile334924.37
Q1340128.1
median343954.84
Q3346569.14
95-th percentile353461.97
Maximum398099.51
Range189263.32
Interquartile range (IQR)6441.0453

Descriptive statistics

Standard deviation5314.7582
Coefficient of variation (CV)0.015472452
Kurtosis51.432787
Mean343498.12
Median Absolute Deviation (MAD)3071.8021
Skewness-1.8840892
Sum2.8263025 × 109
Variance28246654
MonotonicityNot monotonic
2024-04-18T14:19:10.909784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
344997.585301 33
 
0.4%
344912.358902 27
 
0.3%
344879.421494 25
 
0.3%
345032.238221 21
 
0.2%
347037.24197 18
 
0.2%
339047.793379 16
 
0.2%
343588.735555 15
 
0.2%
344686.259338 15
 
0.2%
347026.640346 14
 
0.2%
344047.164924 14
 
0.2%
Other values (5700) 8030
91.9%
(Missing) 508
 
5.8%
ValueCountFrequency (%)
208836.192051204 1
< 0.1%
325937.566452 1
< 0.1%
327220.136878 1
< 0.1%
327251.925896 1
< 0.1%
327260.013858 1
< 0.1%
327482.282524 1
< 0.1%
327723.104095 1
< 0.1%
327853.173809 1
< 0.1%
327867.596131 1
< 0.1%
327886.992564 1
< 0.1%
ValueCountFrequency (%)
398099.511347934 1
< 0.1%
358213.056494 1
< 0.1%
358199.771938 1
< 0.1%
358014.83602 1
< 0.1%
357924.560528 2
< 0.1%
357916.122672 1
< 0.1%
357888.724162 1
< 0.1%
357881.329153 1
< 0.1%
357867.135305 2
< 0.1%
357832.242269 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct5710
Distinct (%)69.4%
Missing508
Missing (%)5.8%
Infinite0
Infinite (%)0.0%
Mean263524.04
Minimum240209.55
Maximum445807.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size76.9 KiB
2024-04-18T14:19:11.075322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum240209.55
5-th percentile257939.02
Q1261494.25
median263798.68
Q3265426.18
95-th percentile270610.67
Maximum445807.73
Range205598.18
Interquartile range (IQR)3931.9285

Descriptive statistics

Standard deviation4693.0222
Coefficient of variation (CV)0.017808706
Kurtosis280.01886
Mean263524.04
Median Absolute Deviation (MAD)1992.6611
Skewness6.1900336
Sum2.1682758 × 109
Variance22024457
MonotonicityNot monotonic
2024-04-18T14:19:11.208845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
268604.350566 33
 
0.4%
268253.830253 27
 
0.3%
268476.874903 25
 
0.3%
262949.871621 21
 
0.2%
265407.404337 18
 
0.2%
258741.90218 16
 
0.2%
264119.01075 15
 
0.2%
263958.880864 15
 
0.2%
264596.130831 14
 
0.2%
265132.987974 14
 
0.2%
Other values (5700) 8030
91.9%
(Missing) 508
 
5.8%
ValueCountFrequency (%)
240209.547189 1
< 0.1%
240219.763777 1
< 0.1%
240270.873923 1
< 0.1%
240358.722944 1
< 0.1%
240435.02216 1
< 0.1%
240473.571874 1
< 0.1%
240481.502376 2
< 0.1%
240486.59443 1
< 0.1%
240550.011807 1
< 0.1%
240575.186404 1
< 0.1%
ValueCountFrequency (%)
445807.727388799 1
< 0.1%
278068.782101 1
< 0.1%
277931.691161 1
< 0.1%
277923.610317 1
< 0.1%
277798.822544 1
< 0.1%
277784.134758 2
< 0.1%
277673.246368 1
< 0.1%
276462.587696 1
< 0.1%
276373.193632 1
< 0.1%
274784.664238 1
< 0.1%

수리대상 의료기기의 유형
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing8736
Missing (%)100.0%
Memory size76.9 KiB

다른 겸업 여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing8736
Missing (%)100.0%
Memory size76.9 KiB

총규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing8736
Missing (%)100.0%
Memory size76.9 KiB

영업규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing8736
Missing (%)100.0%
Memory size76.9 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)수리대상 의료기기의 유형다른 겸업 여부총규모영업규모
01의료기기판매(임대)업01_02_03_P3410000PHMG12021341002304700001420210316<NA>1영업/정상13영업중<NA><NA><NA><NA>07089776606<NA><NA>대구광역시 중구 장관동 **대구광역시 중구 중앙대로**길 **-*, *층 (장관동)41934중앙생활건강20210317102316I2021-03-19 00:22:59.0<NA>343613.657164264329.750354<NA><NA><NA><NA>
12의료기기판매(임대)업01_02_03_P3410000PHMG12021341002304700001720210421<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 국채보상로***길 **-*, 지하*층 (동인동*가)41905유일메디칼20210421175730I2021-04-23 00:22:58.0<NA>345161.306314264728.398867<NA><NA><NA><NA>
23의료기기판매(임대)업01_02_03_P3410000PHMG12018341002304700005720181022<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 동인동*가 ***번지 *호대구광역시 중구 국채보상로***길 *, *층 ***호 (동인동*가)41907한메디칼20181026154805U2018-10-28 02:36:04.0<NA>345421.925949264385.167115<NA><NA><NA><NA>
34의료기기판매(임대)업01_02_03_P3410000PHMG12018341002304700005820181022<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 남일동 **번지대구광역시 중구 중앙대로 ***-*, 지하*층 (남일동)41935빅스메디20181023130139I2018-10-25 02:35:57.0<NA>343853.613481264492.758795<NA><NA><NA><NA>
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