Overview

Dataset statistics

Number of variables32
Number of observations9279
Missing cells94152
Missing cells (%)31.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.5 MiB
Average record size in memory277.0 B

Variable types

Numeric9
Categorical9
Text5
Unsupported8
DateTime1

Dataset

Description22년11월_6270000_대구광역시_01_02_03_P_의료기기판매(임대)업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000097235&dataSetDetailId=DDI_0000097281&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 9279 (100.0%) missing valuesMissing
폐업일자 has 5732 (61.8%) missing valuesMissing
재개업일자 has 9279 (100.0%) missing valuesMissing
소재지전화 has 5530 (59.6%) missing valuesMissing
소재지면적 has 9279 (100.0%) missing valuesMissing
소재지우편번호 has 5666 (61.1%) missing valuesMissing
소재지전체주소 has 501 (5.4%) missing valuesMissing
도로명전체주소 has 412 (4.4%) missing valuesMissing
도로명우편번호 has 1083 (11.7%) missing valuesMissing
업태구분명 has 9279 (100.0%) missing valuesMissing
좌표정보(X) has 498 (5.4%) missing valuesMissing
좌표정보(Y) has 498 (5.4%) missing valuesMissing
수리대상 의료기기의 유형 has 9279 (100.0%) missing valuesMissing
다른 겸업 여부 has 9279 (100.0%) missing valuesMissing
총규모 has 9279 (100.0%) missing valuesMissing
영업규모 has 9279 (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 started2023-12-10 18:15:12.341085
Analysis finished2023-12-10 18:15:15.284293
Duration2.94 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct9279
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4640
Minimum1
Maximum9279
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size81.7 KiB
2023-12-11T03:15:15.432012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile464.9
Q12320.5
median4640
Q36959.5
95-th percentile8815.1
Maximum9279
Range9278
Interquartile range (IQR)4639

Descriptive statistics

Standard deviation2678.7609
Coefficient of variation (CV)0.57731916
Kurtosis-1.2
Mean4640
Median Absolute Deviation (MAD)2320
Skewness0
Sum43054560
Variance7175760
MonotonicityStrictly increasing
2023-12-11T03:15:15.708453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
6164 1
 
< 0.1%
6184 1
 
< 0.1%
6185 1
 
< 0.1%
6186 1
 
< 0.1%
6187 1
 
< 0.1%
6188 1
 
< 0.1%
6189 1
 
< 0.1%
6190 1
 
< 0.1%
6191 1
 
< 0.1%
Other values (9269) 9269
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 (%)
9279 1
< 0.1%
9278 1
< 0.1%
9277 1
< 0.1%
9276 1
< 0.1%
9275 1
< 0.1%
9274 1
< 0.1%
9273 1
< 0.1%
9272 1
< 0.1%
9271 1
< 0.1%
9270 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size72.6 KiB
의료기기판매(임대)업
9279 

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 9279
100.0%

Length

2023-12-11T03:15:15.965709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:15:16.142514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의료기기판매(임대)업 9279
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size72.6 KiB
01_02_03_P
9279 

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 9279
100.0%

Length

2023-12-11T03:15:16.337888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:15:16.502034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01_02_03_p 9279
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3445139.6
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size81.7 KiB
2023-12-11T03:15:16.698385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13420000
median3450000
Q33460000
95-th percentile3480000
Maximum3480000
Range70000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation21987.852
Coefficient of variation (CV)0.006382282
Kurtosis-1.2682043
Mean3445139.6
Median Absolute Deviation (MAD)20000
Skewness-0.21826687
Sum3.196745 × 1010
Variance4.8346565 × 108
MonotonicityIncreasing
2023-12-11T03:15:16.939619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 1737
18.7%
3450000 1527
16.5%
3460000 1495
16.1%
3420000 1482
16.0%
3410000 1104
11.9%
3440000 846
9.1%
3430000 607
 
6.5%
3480000 481
 
5.2%
ValueCountFrequency (%)
3410000 1104
11.9%
3420000 1482
16.0%
3430000 607
 
6.5%
3440000 846
9.1%
3450000 1527
16.5%
3460000 1495
16.1%
3470000 1737
18.7%
3480000 481
 
5.2%
ValueCountFrequency (%)
3480000 481
 
5.2%
3470000 1737
18.7%
3460000 1495
16.1%
3450000 1527
16.5%
3440000 846
9.1%
3430000 607
 
6.5%
3420000 1482
16.0%
3410000 1104
11.9%

관리번호
Text

UNIQUE 

Distinct9279
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size72.6 KiB
2023-12-11T03:15:17.333663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters231975
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

Unique9279 ?
Unique (%)100.0%

Sample

1st rowPHMG120223410023047000097
2nd rowPHMG120223410023047000103
3rd rowPHMG120223410023047000093
4th rowPHMG120223410023047000096
5th rowPHMG120223410023047000102
ValueCountFrequency (%)
phmg120223410023047000097 1
 
< 0.1%
phmg120223460023047000058 1
 
< 0.1%
phmg120153460023047000025 1
 
< 0.1%
phmg120053460023047000006 1
 
< 0.1%
phmg120053460023047000007 1
 
< 0.1%
phmg120053460023047000008 1
 
< 0.1%
phmg120053460023047000010 1
 
< 0.1%
phmg120153460023047000021 1
 
< 0.1%
phmg120153460023047000024 1
 
< 0.1%
phmg120153460023047000026 1
 
< 0.1%
Other values (9269) 9269
99.9%
2023-12-11T03:15:17.980861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 77926
33.6%
2 30692
 
13.2%
4 23094
 
10.0%
1 20650
 
8.9%
3 16614
 
7.2%
7 12980
 
5.6%
P 9279
 
4.0%
H 9279
 
4.0%
M 9279
 
4.0%
G 9279
 
4.0%
Other values (4) 12903
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 194859
84.0%
Uppercase Letter 37116
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 77926
40.0%
2 30692
 
15.8%
4 23094
 
11.9%
1 20650
 
10.6%
3 16614
 
8.5%
7 12980
 
6.7%
5 3935
 
2.0%
6 3734
 
1.9%
9 2727
 
1.4%
8 2507
 
1.3%
Uppercase Letter
ValueCountFrequency (%)
P 9279
25.0%
H 9279
25.0%
M 9279
25.0%
G 9279
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 194859
84.0%
Latin 37116
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 77926
40.0%
2 30692
 
15.8%
4 23094
 
11.9%
1 20650
 
10.6%
3 16614
 
8.5%
7 12980
 
6.7%
5 3935
 
2.0%
6 3734
 
1.9%
9 2727
 
1.4%
8 2507
 
1.3%
Latin
ValueCountFrequency (%)
P 9279
25.0%
H 9279
25.0%
M 9279
25.0%
G 9279
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 231975
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 77926
33.6%
2 30692
 
13.2%
4 23094
 
10.0%
1 20650
 
8.9%
3 16614
 
7.2%
7 12980
 
5.6%
P 9279
 
4.0%
H 9279
 
4.0%
M 9279
 
4.0%
G 9279
 
4.0%
Other values (4) 12903
 
5.6%

인허가일자
Real number (ℝ)

Distinct3812
Distinct (%)41.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20151359
Minimum19721211
Maximum20221130
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size81.7 KiB
2023-12-11T03:15:18.255162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19721211
5-th percentile20049217
Q120110706
median20160223
Q320210421
95-th percentile20220719
Maximum20221130
Range499919
Interquartile range (IQR)99715

Descriptive statistics

Standard deviation59965.232
Coefficient of variation (CV)0.0029757414
Kurtosis1.0341515
Mean20151359
Median Absolute Deviation (MAD)49895
Skewness-0.85018549
Sum1.8698446 × 1011
Variance3.5958291 × 109
MonotonicityNot monotonic
2023-12-11T03:15:18.526054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210506 119
 
1.3%
20220208 96
 
1.0%
20220204 80
 
0.9%
20220207 73
 
0.8%
20220209 71
 
0.8%
20220203 68
 
0.7%
20220210 61
 
0.7%
20141031 59
 
0.6%
20220215 52
 
0.6%
20220214 51
 
0.5%
Other values (3802) 8549
92.1%
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 (%)
20221130 6
0.1%
20221129 3
< 0.1%
20221128 4
< 0.1%
20221127 1
 
< 0.1%
20221125 6
0.1%
20221124 2
 
< 0.1%
20221123 7
0.1%
20221122 4
< 0.1%
20221121 7
0.1%
20221118 7
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9279
Missing (%)100.0%
Memory size81.7 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size72.6 KiB
1
5730 
3
3403 
4
 
144
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 5730
61.8%
3 3403
36.7%
4 144
 
1.6%
2 2
 
< 0.1%

Length

2023-12-11T03:15:18.729888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:15:18.884859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 5730
61.8%
3 3403
36.7%
4 144
 
1.6%
2 2
 
< 0.1%

영업상태명
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size72.6 KiB
영업/정상
5730 
폐업
3403 
취소/말소/만료/정지/중지
 
144
휴업
 
2

Length

Max length14
Median length5
Mean length4.0387973
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 5730
61.8%
폐업 3403
36.7%
취소/말소/만료/정지/중지 144
 
1.6%
휴업 2
 
< 0.1%

Length

2023-12-11T03:15:19.064470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:15:19.232232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 5730
61.8%
폐업 3403
36.7%
취소/말소/만료/정지/중지 144
 
1.6%
휴업 2
 
< 0.1%

상세영업상태코드
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size72.6 KiB
13
5730 
3
3403 
24
 
144
2
 
2

Length

Max length2
Median length2
Mean length1.6330424
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 5730
61.8%
3 3403
36.7%
24 144
 
1.6%
2 2
 
< 0.1%

Length

2023-12-11T03:15:19.403849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:15:19.589110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 5730
61.8%
3 3403
36.7%
24 144
 
1.6%
2 2
 
< 0.1%

상세영업상태명
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size72.6 KiB
영업중
5730 
폐업
3403 
직권폐업
 
144
휴업
 
2

Length

Max length4
Median length3
Mean length2.6485613
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 5730
61.8%
폐업 3403
36.7%
직권폐업 144
 
1.6%
휴업 2
 
< 0.1%

Length

2023-12-11T03:15:19.788320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:15:19.973271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 5730
61.8%
폐업 3403
36.7%
직권폐업 144
 
1.6%
휴업 2
 
< 0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct1981
Distinct (%)55.9%
Missing5732
Missing (%)61.8%
Infinite0
Infinite (%)0.0%
Mean20154185
Minimum20050218
Maximum20221130
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size81.7 KiB
2023-12-11T03:15:20.164708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20050218
5-th percentile20090604
Q120130204
median20160307
Q320180919
95-th percentile20220223
Maximum20221130
Range170912
Interquartile range (IQR)50714.5

Descriptive statistics

Standard deviation38215.868
Coefficient of variation (CV)0.0018961753
Kurtosis-0.80729683
Mean20154185
Median Absolute Deviation (MAD)29801
Skewness-0.081043026
Sum7.1486893 × 1010
Variance1.4604525 × 109
MonotonicityNot monotonic
2023-12-11T03:15:20.437264image/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%
20191008 21
 
0.2%
20191011 21
 
0.2%
20191010 19
 
0.2%
20191015 12
 
0.1%
20191119 12
 
0.1%
20160927 11
 
0.1%
Other values (1971) 3213
34.6%
(Missing) 5732
61.8%
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 (%)
20221130 2
< 0.1%
20221129 1
< 0.1%
20221125 1
< 0.1%
20221123 2
< 0.1%
20221122 1
< 0.1%
20221120 1
< 0.1%
20221118 2
< 0.1%
20221116 2
< 0.1%
20221114 2
< 0.1%
20221111 1
< 0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size72.6 KiB
<NA>
9277 
20180726
 
1
20170215
 
1

Length

Max length8
Median length4
Mean length4.0008622
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> 9277
> 99.9%
20180726 1
 
< 0.1%
20170215 1
 
< 0.1%

Length

2023-12-11T03:15:20.712054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:15:20.899308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9277
> 99.9%
20180726 1
 
< 0.1%
20170215 1
 
< 0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size72.6 KiB
<NA>
9276 
20190726
 
1
99991231
 
1
20200215
 
1

Length

Max length8
Median length4
Mean length4.0012932
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> 9276
> 99.9%
20190726 1
 
< 0.1%
99991231 1
 
< 0.1%
20200215 1
 
< 0.1%

Length

2023-12-11T03:15:21.106088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:15:21.322191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9276
> 99.9%
20190726 1
 
< 0.1%
99991231 1
 
< 0.1%
20200215 1
 
< 0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9279
Missing (%)100.0%
Memory size81.7 KiB

소재지전화
Text

MISSING 

Distinct3474
Distinct (%)92.7%
Missing5530
Missing (%)59.6%
Memory size72.6 KiB
2023-12-11T03:15:21.712705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length10.561483
Min length2

Characters and Unicode

Total characters39595
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

Unique3258 ?
Unique (%)86.9%

Sample

1st row--
2nd row053-427-5791
3rd row070-7795-8878
4th row053-255-9957
5th row--
ValueCountFrequency (%)
31
 
0.8%
053 7
 
0.2%
053-627-6551 4
 
0.1%
053-623-3140 4
 
0.1%
053-754-9141 4
 
0.1%
053-742-0955 4
 
0.1%
424-1124 4
 
0.1%
053-656-5675 4
 
0.1%
742-5436 3
 
0.1%
053-292-5683 3
 
0.1%
Other values (3466) 3689
98.2%
2023-12-11T03:15:22.445419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 6056
15.3%
- 5925
15.0%
3 4822
12.2%
0 4692
11.8%
2 3276
8.3%
7 2940
7.4%
6 2645
6.7%
4 2541
6.4%
1 2505
6.3%
8 2189
 
5.5%
Other values (7) 2004
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 33573
84.8%
Dash Punctuation 5925
 
15.0%
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 6056
18.0%
3 4822
14.4%
0 4692
14.0%
2 3276
9.8%
7 2940
8.8%
6 2645
7.9%
4 2541
7.6%
1 2505
7.5%
8 2189
 
6.5%
9 1907
 
5.7%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
/ 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 5925
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 39595
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 6056
15.3%
- 5925
15.0%
3 4822
12.2%
0 4692
11.8%
2 3276
8.3%
7 2940
7.4%
6 2645
6.7%
4 2541
6.4%
1 2505
6.3%
8 2189
 
5.5%
Other values (7) 2004
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 39595
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 6056
15.3%
- 5925
15.0%
3 4822
12.2%
0 4692
11.8%
2 3276
8.3%
7 2940
7.4%
6 2645
6.7%
4 2541
6.4%
1 2505
6.3%
8 2189
 
5.5%
Other values (7) 2004
 
5.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9279
Missing (%)100.0%
Memory size81.7 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct683
Distinct (%)18.9%
Missing5666
Missing (%)61.1%
Infinite0
Infinite (%)0.0%
Mean698520.05
Minimum41074
Maximum711891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size81.7 KiB
2023-12-11T03:15:22.992597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41074
5-th percentile700421
Q1701843
median703812
Q3705800
95-th percentile706830.4
Maximum711891
Range670817
Interquartile range (IQR)3957

Descriptive statistics

Standard deviation59073.503
Coefficient of variation (CV)0.084569517
Kurtosis119.40758
Mean698520.05
Median Absolute Deviation (MAD)1971
Skewness-11.007241
Sum2.523753 × 109
Variance3.4896788 × 109
MonotonicityNot monotonic
2023-12-11T03:15:23.270386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
701827 50
 
0.5%
702894 39
 
0.4%
706170 34
 
0.4%
702010 33
 
0.4%
702845 32
 
0.3%
704834 30
 
0.3%
700413 30
 
0.3%
700847 30
 
0.3%
701829 29
 
0.3%
704808 25
 
0.3%
Other values (673) 3281
35.4%
(Missing) 5666
61.1%
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 

Distinct3682
Distinct (%)41.9%
Missing501
Missing (%)5.4%
Memory size72.6 KiB
2023-12-11T03:15:23.988250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length48
Mean length23.224653
Min length8

Characters and Unicode

Total characters203866
Distinct characters456
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

Unique2411 ?
Unique (%)27.5%

Sample

1st row대구광역시 중구 포정동 *-*
2nd row대구광역시 중구 남산동 **** 남산역 화성파크드림 ***동 ****호
3rd row대구광역시 중구 삼덕동*가 **-**
4th row대구광역시 중구 동인동*가 *** *층
5th row대구광역시 중구 동산동 ***
ValueCountFrequency (%)
대구광역시 8734
20.0%
번지 4890
 
11.2%
호 4629
 
10.6%
3401
 
7.8%
달서구 1642
 
3.8%
층 1564
 
3.6%
북구 1525
 
3.5%
동구 1417
 
3.2%
수성구 1372
 
3.1%
중구 966
 
2.2%
Other values (1496) 13474
30.9%
2023-12-11T03:15:24.963516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 44035
21.6%
34970
17.2%
구 17379
 
8.5%
동 10456
 
5.1%
대 9897
 
4.9%
시 8932
 
4.4%
역 8830
 
4.3%
광 8758
 
4.3%
지 5596
 
2.7%
호 4902
 
2.4%
Other values (446) 50111
24.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 120202
59.0%
Other Punctuation 44215
 
21.7%
Space Separator 34970
 
17.2%
Dash Punctuation 2956
 
1.4%
Open Punctuation 597
 
0.3%
Close Punctuation 595
 
0.3%
Uppercase Letter 218
 
0.1%
Math Symbol 65
 
< 0.1%
Lowercase Letter 48
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 17379
14.5%
동 10456
 
8.7%
대 9897
 
8.2%
시 8932
 
7.4%
역 8830
 
7.3%
광 8758
 
7.3%
지 5596
 
4.7%
호 4902
 
4.1%
번 4900
 
4.1%
성 2611
 
2.2%
Other values (396) 37941
31.6%
Uppercase Letter
ValueCountFrequency (%)
A 46
21.1%
B 34
15.6%
S 15
 
6.9%
T 15
 
6.9%
C 14
 
6.4%
D 12
 
5.5%
H 11
 
5.0%
L 11
 
5.0%
K 10
 
4.6%
O 8
 
3.7%
Other values (13) 42
19.3%
Lowercase Letter
ValueCountFrequency (%)
e 23
47.9%
s 6
 
12.5%
l 4
 
8.3%
u 3
 
6.2%
m 2
 
4.2%
x 2
 
4.2%
d 2
 
4.2%
k 1
 
2.1%
y 1
 
2.1%
a 1
 
2.1%
Other values (3) 3
 
6.2%
Other Punctuation
ValueCountFrequency (%)
* 44035
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 (%)
34970
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2956
100.0%
Open Punctuation
ValueCountFrequency (%)
( 597
100.0%
Close Punctuation
ValueCountFrequency (%)
) 595
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 120202
59.0%
Common 83398
40.9%
Latin 266
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 17379
14.5%
동 10456
 
8.7%
대 9897
 
8.2%
시 8932
 
7.4%
역 8830
 
7.3%
광 8758
 
7.3%
지 5596
 
4.7%
호 4902
 
4.1%
번 4900
 
4.1%
성 2611
 
2.2%
Other values (396) 37941
31.6%
Latin
ValueCountFrequency (%)
A 46
17.3%
B 34
12.8%
e 23
 
8.6%
S 15
 
5.6%
T 15
 
5.6%
C 14
 
5.3%
D 12
 
4.5%
H 11
 
4.1%
L 11
 
4.1%
K 10
 
3.8%
Other values (26) 75
28.2%
Common
ValueCountFrequency (%)
* 44035
52.8%
34970
41.9%
- 2956
 
3.5%
( 597
 
0.7%
) 595
 
0.7%
, 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 120202
59.0%
ASCII 83662
41.0%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 44035
52.6%
34970
41.8%
- 2956
 
3.5%
( 597
 
0.7%
) 595
 
0.7%
, 115
 
0.1%
A 46
 
0.1%
. 45
 
0.1%
B 34
 
< 0.1%
> 25
 
< 0.1%
Other values (39) 244
 
0.3%
Hangul
ValueCountFrequency (%)
구 17379
14.5%
동 10456
 
8.7%
대 9897
 
8.2%
시 8932
 
7.4%
역 8830
 
7.3%
광 8758
 
7.3%
지 5596
 
4.7%
호 4902
 
4.1%
번 4900
 
4.1%
성 2611
 
2.2%
Other values (396) 37941
31.6%
None
ValueCountFrequency (%)
· 2
100.0%

도로명전체주소
Text

MISSING 

Distinct5516
Distinct (%)62.2%
Missing412
Missing (%)4.4%
Memory size72.6 KiB
2023-12-11T03:15:25.533551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length59
Mean length29.533777
Min length15

Characters and Unicode

Total characters261876
Distinct characters493
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

Unique4080 ?
Unique (%)46.0%

Sample

1st row대구광역시 중구 달성로 **-* , 별관 *층
2nd row대구광역시 중구 경상감영길 ***, *층 (포정동)
3rd row대구광역시 중구 남산로*길 *, ***동 ****호 (남산동, 남산역 화성파크드림)
4th row대구광역시 중구 공평로 **, *층 (삼덕동*가)
5th row대구광역시 중구 동덕로**길 ***, *층 (동인동*가)
ValueCountFrequency (%)
대구광역시 8865
16.7%
8473
 
16.0%
층 4020
 
7.6%
호 1764
 
3.3%
달서구 1627
 
3.1%
동구 1477
 
2.8%
북구 1467
 
2.8%
수성구 1405
 
2.7%
중구 1007
 
1.9%
남구 841
 
1.6%
Other values (2419) 22071
41.6%
2023-12-11T03:15:26.374310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
44204
16.9%
* 42938
16.4%
구 18582
 
7.1%
동 12533
 
4.8%
대 11814
 
4.5%
시 9151
 
3.5%
역 9012
 
3.4%
광 8889
 
3.4%
로 8744
 
3.3%
( 8658
 
3.3%
Other values (483) 87351
33.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 148547
56.7%
Other Punctuation 49862
 
19.0%
Space Separator 44204
 
16.9%
Open Punctuation 8658
 
3.3%
Close Punctuation 8658
 
3.3%
Dash Punctuation 1500
 
0.6%
Uppercase Letter 310
 
0.1%
Math Symbol 91
 
< 0.1%
Lowercase Letter 46
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 18582
 
12.5%
동 12533
 
8.4%
대 11814
 
8.0%
시 9151
 
6.2%
역 9012
 
6.1%
광 8889
 
6.0%
로 8744
 
5.9%
층 4510
 
3.0%
길 3754
 
2.5%
성 3299
 
2.2%
Other values (432) 58259
39.2%
Uppercase Letter
ValueCountFrequency (%)
A 86
27.7%
B 58
18.7%
C 21
 
6.8%
S 18
 
5.8%
L 17
 
5.5%
H 15
 
4.8%
T 11
 
3.5%
D 11
 
3.5%
E 10
 
3.2%
K 10
 
3.2%
Other values (15) 53
17.1%
Lowercase Letter
ValueCountFrequency (%)
e 22
47.8%
s 6
 
13.0%
m 3
 
6.5%
u 2
 
4.3%
b 2
 
4.3%
l 2
 
4.3%
p 2
 
4.3%
d 2
 
4.3%
o 2
 
4.3%
y 1
 
2.2%
Other values (2) 2
 
4.3%
Other Punctuation
ValueCountFrequency (%)
* 42938
86.1%
, 6902
 
13.8%
/ 10
 
< 0.1%
· 8
 
< 0.1%
. 3
 
< 0.1%
& 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 40
44.0%
< 25
27.5%
> 25
27.5%
+ 1
 
1.1%
Space Separator
ValueCountFrequency (%)
44204
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8658
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8658
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1500
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 148547
56.7%
Common 112973
43.1%
Latin 356
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 18582
 
12.5%
동 12533
 
8.4%
대 11814
 
8.0%
시 9151
 
6.2%
역 9012
 
6.1%
광 8889
 
6.0%
로 8744
 
5.9%
층 4510
 
3.0%
길 3754
 
2.5%
성 3299
 
2.2%
Other values (432) 58259
39.2%
Latin
ValueCountFrequency (%)
A 86
24.2%
B 58
16.3%
e 22
 
6.2%
C 21
 
5.9%
S 18
 
5.1%
L 17
 
4.8%
H 15
 
4.2%
T 11
 
3.1%
D 11
 
3.1%
E 10
 
2.8%
Other values (27) 87
24.4%
Common
ValueCountFrequency (%)
44204
39.1%
* 42938
38.0%
( 8658
 
7.7%
) 8658
 
7.7%
, 6902
 
6.1%
- 1500
 
1.3%
~ 40
 
< 0.1%
< 25
 
< 0.1%
> 25
 
< 0.1%
/ 10
 
< 0.1%
Other values (4) 13
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 148547
56.7%
ASCII 113321
43.3%
None 8
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
44204
39.0%
* 42938
37.9%
( 8658
 
7.6%
) 8658
 
7.6%
, 6902
 
6.1%
- 1500
 
1.3%
A 86
 
0.1%
B 58
 
0.1%
~ 40
 
< 0.1%
< 25
 
< 0.1%
Other values (40) 252
 
0.2%
Hangul
ValueCountFrequency (%)
구 18582
 
12.5%
동 12533
 
8.4%
대 11814
 
8.0%
시 9151
 
6.2%
역 9012
 
6.1%
광 8889
 
6.0%
로 8744
 
5.9%
층 4510
 
3.0%
길 3754
 
2.5%
성 3299
 
2.2%
Other values (432) 58259
39.2%
None
ValueCountFrequency (%)
· 8
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct1592
Distinct (%)19.4%
Missing1083
Missing (%)11.7%
Infinite0
Infinite (%)0.0%
Mean102312.89
Minimum5510
Maximum711874
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size81.7 KiB
2023-12-11T03:15:26.645544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5510
5-th percentile41110
Q141519
median42063
Q342677.25
95-th percentile702853
Maximum711874
Range706364
Interquartile range (IQR)1158.25

Descriptive statistics

Standard deviation190480.97
Coefficient of variation (CV)1.8617495
Kurtosis6.0768889
Mean102312.89
Median Absolute Deviation (MAD)577
Skewness2.8416711
Sum8.3855641 × 108
Variance3.6282999 × 1010
MonotonicityNot monotonic
2023-12-11T03:15:26.918019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41505 53
 
0.6%
41518 38
 
0.4%
41251 38
 
0.4%
41940 34
 
0.4%
41907 32
 
0.3%
41937 32
 
0.3%
41422 31
 
0.3%
42430 30
 
0.3%
41477 29
 
0.3%
41475 28
 
0.3%
Other values (1582) 7851
84.6%
(Missing) 1083
 
11.7%
ValueCountFrequency (%)
5510 1
 
< 0.1%
38066 1
 
< 0.1%
41000 2
 
< 0.1%
41001 3
 
< 0.1%
41002 3
 
< 0.1%
41003 9
0.1%
41004 1
 
< 0.1%
41005 4
< 0.1%
41007 5
0.1%
41009 2
 
< 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

Distinct8125
Distinct (%)87.6%
Missing0
Missing (%)0.0%
Memory size72.6 KiB
2023-12-11T03:15:27.372373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length23
Mean length7.7296045
Min length2

Characters and Unicode

Total characters71723
Distinct characters805
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7369 ?
Unique (%)79.4%

Sample

1st row주식회사 엠에이아이티
2nd row박세은 더 뷰티
3rd row웃는사람
4th row눈썹맛집뷰티
5th row제이더블유파크
ValueCountFrequency (%)
세븐일레븐 511
 
4.2%
씨유 323
 
2.6%
주식회사 315
 
2.6%
gs25 290
 
2.4%
지에스25 116
 
0.9%
이마트24 54
 
0.4%
주)코리아세븐 45
 
0.4%
cu 44
 
0.4%
지에스(gs)25 34
 
0.3%
메디칼 29
 
0.2%
Other values (8102) 10550
85.7%
2023-12-11T03:15:28.060951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3035
 
4.2%
점 2899
 
4.0%
대 2067
 
2.9%
디 2011
 
2.8%
메 1937
 
2.7%
이 1847
 
2.6%
스 1756
 
2.4%
구 1657
 
2.3%
주 1328
 
1.9%
븐 1199
 
1.7%
Other values (795) 51987
72.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 61800
86.2%
Space Separator 3035
 
4.2%
Uppercase Letter 2222
 
3.1%
Decimal Number 1673
 
2.3%
Close Punctuation 1170
 
1.6%
Open Punctuation 1151
 
1.6%
Lowercase Letter 409
 
0.6%
Other Symbol 148
 
0.2%
Other Punctuation 95
 
0.1%
Dash Punctuation 14
 
< 0.1%
Other values (2) 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 2899
 
4.7%
대 2067
 
3.3%
디 2011
 
3.3%
메 1937
 
3.1%
이 1847
 
3.0%
스 1756
 
2.8%
구 1657
 
2.7%
주 1328
 
2.1%
븐 1199
 
1.9%
칼 1027
 
1.7%
Other values (720) 44072
71.3%
Uppercase Letter
ValueCountFrequency (%)
S 579
26.1%
G 494
22.2%
C 208
 
9.4%
U 141
 
6.3%
M 104
 
4.7%
H 70
 
3.2%
K 64
 
2.9%
D 60
 
2.7%
A 55
 
2.5%
T 52
 
2.3%
Other values (16) 395
17.8%
Lowercase Letter
ValueCountFrequency (%)
e 59
14.4%
a 44
 
10.8%
i 28
 
6.8%
s 27
 
6.6%
c 26
 
6.4%
m 24
 
5.9%
o 21
 
5.1%
l 21
 
5.1%
n 21
 
5.1%
h 19
 
4.6%
Other values (15) 119
29.1%
Decimal Number
ValueCountFrequency (%)
2 764
45.7%
5 638
38.1%
4 95
 
5.7%
3 56
 
3.3%
1 56
 
3.3%
0 37
 
2.2%
6 11
 
0.7%
8 11
 
0.7%
9 3
 
0.2%
7 2
 
0.1%
Other Punctuation
ValueCountFrequency (%)
. 45
47.4%
& 41
43.2%
/ 5
 
5.3%
· 3
 
3.2%
, 1
 
1.1%
Math Symbol
ValueCountFrequency (%)
+ 3
60.0%
> 1
 
20.0%
< 1
 
20.0%
Space Separator
ValueCountFrequency (%)
3035
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1170
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1151
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 148
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 61945
86.4%
Common 7144
 
10.0%
Latin 2631
 
3.7%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 2899
 
4.7%
대 2067
 
3.3%
디 2011
 
3.2%
메 1937
 
3.1%
이 1847
 
3.0%
스 1756
 
2.8%
구 1657
 
2.7%
주 1328
 
2.1%
븐 1199
 
1.9%
칼 1027
 
1.7%
Other values (719) 44217
71.4%
Latin
ValueCountFrequency (%)
S 579
22.0%
G 494
18.8%
C 208
 
7.9%
U 141
 
5.4%
M 104
 
4.0%
H 70
 
2.7%
K 64
 
2.4%
D 60
 
2.3%
e 59
 
2.2%
A 55
 
2.1%
Other values (41) 797
30.3%
Common
ValueCountFrequency (%)
3035
42.5%
) 1170
 
16.4%
( 1151
 
16.1%
2 764
 
10.7%
5 638
 
8.9%
4 95
 
1.3%
3 56
 
0.8%
1 56
 
0.8%
. 45
 
0.6%
& 41
 
0.6%
Other values (13) 93
 
1.3%
Han
ValueCountFrequency (%)
舜 2
66.7%
愛 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 61797
86.2%
ASCII 9772
 
13.6%
None 151
 
0.2%
CJK 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3035
31.1%
) 1170
 
12.0%
( 1151
 
11.8%
2 764
 
7.8%
5 638
 
6.5%
S 579
 
5.9%
G 494
 
5.1%
C 208
 
2.1%
U 141
 
1.4%
M 104
 
1.1%
Other values (63) 1488
15.2%
Hangul
ValueCountFrequency (%)
점 2899
 
4.7%
대 2067
 
3.3%
디 2011
 
3.3%
메 1937
 
3.1%
이 1847
 
3.0%
스 1756
 
2.8%
구 1657
 
2.7%
주 1328
 
2.1%
븐 1199
 
1.9%
칼 1027
 
1.7%
Other values (718) 44069
71.3%
None
ValueCountFrequency (%)
㈜ 148
98.0%
· 3
 
2.0%
CJK
ValueCountFrequency (%)
舜 2
66.7%
愛 1
33.3%

최종수정시점
Real number (ℝ)

Distinct9260
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0176317 × 1013
Minimum2.008091 × 1013
Maximum2.022113 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size81.7 KiB
2023-12-11T03:15:28.346257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.008091 × 1013
5-th percentile2.0101028 × 1013
Q12.0150115 × 1013
median2.0181026 × 1013
Q32.0211122 × 1013
95-th percentile2.022083 × 1013
Maximum2.022113 × 1013
Range1.4022021 × 1011
Interquartile range (IQR)6.1006978 × 1010

Descriptive statistics

Standard deviation3.9947783 × 1010
Coefficient of variation (CV)0.0019799343
Kurtosis-0.8352024
Mean2.0176317 × 1013
Median Absolute Deviation (MAD)3.0610064 × 1010
Skewness-0.55646371
Sum1.8721605 × 1017
Variance1.5958254 × 1021
MonotonicityNot monotonic
2023-12-11T03:15:28.624696image/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%
20081202154805 3
 
< 0.1%
20081202154809 3
 
< 0.1%
20100317085645 2
 
< 0.1%
20150521182550 1
 
< 0.1%
20151126170538 1
 
< 0.1%
20101007175309 1
 
< 0.1%
20210601101036 1
 
< 0.1%
Other values (9250) 9250
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 (%)
20221130212825 1
< 0.1%
20221130180051 1
< 0.1%
20221130175717 1
< 0.1%
20221130175607 1
< 0.1%
20221130174159 1
< 0.1%
20221130173943 1
< 0.1%
20221130141005 1
< 0.1%
20221130134725 1
< 0.1%
20221130115420 1
< 0.1%
20221130090740 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size72.6 KiB
I
7446 
U
1833 

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 7446
80.2%
U 1833
 
19.8%

Length

2023-12-11T03:15:28.879487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:15:29.055312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 7446
80.2%
u 1833
 
19.8%

데이터갱신일자
Date

Distinct1600
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Memory size72.6 KiB
Minimum2018-08-31 23:59:59
Maximum2022-12-02 02:40:00
2023-12-11T03:15:29.257455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:15:29.538565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9279
Missing (%)100.0%
Memory size81.7 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct6024
Distinct (%)68.6%
Missing498
Missing (%)5.4%
Infinite0
Infinite (%)0.0%
Mean343467.5
Minimum208836.19
Maximum398098.74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size81.7 KiB
2023-12-11T03:15:29.802808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum208836.19
5-th percentile334765.01
Q1340033.29
median343904.7
Q3346570.5
95-th percentile353565.81
Maximum398098.74
Range189262.55
Interquartile range (IQR)6537.2133

Descriptive statistics

Standard deviation5382.5273
Coefficient of variation (CV)0.01567114
Kurtosis45.744761
Mean343467.5
Median Absolute Deviation (MAD)3132.5465
Skewness-1.6831591
Sum3.0159881 × 109
Variance28971600
MonotonicityNot monotonic
2023-12-11T03:15:30.100824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
344997.585301435 33
 
0.4%
344912.358902194 28
 
0.3%
344879.421493561 24
 
0.3%
345032.238220744 21
 
0.2%
347037.241970286 18
 
0.2%
339047.793378934 16
 
0.2%
343588.735554802 16
 
0.2%
344686.25933796 15
 
0.2%
347026.640346264 14
 
0.2%
347950.194974987 13
 
0.1%
Other values (6014) 8583
92.5%
(Missing) 498
 
5.4%
ValueCountFrequency (%)
208836.192051204 1
< 0.1%
325937.566452452 1
< 0.1%
327220.130902183 1
< 0.1%
327251.925895668 1
< 0.1%
327260.01385849 2
< 0.1%
327482.282523967 1
< 0.1%
327723.743609075 1
< 0.1%
327853.173808645 1
< 0.1%
327858.515806537 1
< 0.1%
327867.596131492 1
< 0.1%
ValueCountFrequency (%)
398098.740259609 1
< 0.1%
358213.056494159 1
< 0.1%
358199.771937823 1
< 0.1%
358014.836019766 1
< 0.1%
357924.560527583 2
< 0.1%
357916.122671764 1
< 0.1%
357888.724162031 1
< 0.1%
357881.329153021 1
< 0.1%
357867.135304704 2
< 0.1%
357832.242269486 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct6024
Distinct (%)68.6%
Missing498
Missing (%)5.4%
Infinite0
Infinite (%)0.0%
Mean263511.21
Minimum237969.89
Maximum445807.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size81.7 KiB
2023-12-11T03:15:30.381635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum237969.89
5-th percentile257874.41
Q1261466.82
median263761.84
Q3265446.26
95-th percentile270739.77
Maximum445807.73
Range207837.84
Interquartile range (IQR)3979.4419

Descriptive statistics

Standard deviation4757.6335
Coefficient of variation (CV)0.018054767
Kurtosis249.05485
Mean263511.21
Median Absolute Deviation (MAD)2005.2357
Skewness5.4321154
Sum2.3138919 × 109
Variance22635077
MonotonicityNot monotonic
2023-12-11T03:15:30.637588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
268604.350565685 33
 
0.4%
268253.830252935 28
 
0.3%
268476.874902975 24
 
0.3%
262949.871621315 21
 
0.2%
265407.404336831 18
 
0.2%
258741.902180368 16
 
0.2%
264119.010750105 16
 
0.2%
263958.880864104 15
 
0.2%
264596.130831387 14
 
0.2%
265687.625739554 13
 
0.1%
Other values (6014) 8583
92.5%
(Missing) 498
 
5.4%
ValueCountFrequency (%)
237969.888265602 1
< 0.1%
238769.812521748 1
< 0.1%
238902.319464931 1
< 0.1%
240209.547188779 1
< 0.1%
240219.763776562 1
< 0.1%
240270.873922517 1
< 0.1%
240358.722944009 1
< 0.1%
240435.022160356 1
< 0.1%
240473.571874223 1
< 0.1%
240481.502376469 2
< 0.1%
ValueCountFrequency (%)
445807.727388799 1
< 0.1%
278068.782101083 1
< 0.1%
277931.69116053 1
< 0.1%
277923.610317233 2
< 0.1%
277798.822543844 1
< 0.1%
277784.134758359 2
< 0.1%
277673.246367512 1
< 0.1%
276462.58769612 1
< 0.1%
276373.193632337 1
< 0.1%
274784.664238155 1
< 0.1%

수리대상 의료기기의 유형
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9279
Missing (%)100.0%
Memory size81.7 KiB

다른 겸업 여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9279
Missing (%)100.0%
Memory size81.7 KiB

총규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9279
Missing (%)100.0%
Memory size81.7 KiB

영업규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9279
Missing (%)100.0%
Memory size81.7 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)수리대상 의료기기의 유형다른 겸업 여부총규모영업규모
01의료기기판매(임대)업01_02_03_P3410000PHMG12022341002304700009720220530<NA>1영업/정상13영업중<NA><NA><NA><NA>--<NA><NA><NA>대구광역시 중구 달성로 **-* , 별관 *층41931주식회사 엠에이아이티20220530161240I2022-06-01 00:22:31.0<NA>342935.432334264310.975711<NA><NA><NA><NA>
12의료기기판매(임대)업01_02_03_P3410000PHMG12022341002304700010320220628<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 포정동 *-*대구광역시 중구 경상감영길 ***, *층 (포정동)41909박세은 더 뷰티20220629091039I2022-07-01 00:22:45.0<NA>343955.954352264739.355403<NA><NA><NA><NA>
23의료기기판매(임대)업01_02_03_P3410000PHMG12022341002304700009320220518<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 남산동 **** 남산역 화성파크드림 ***동 ****호대구광역시 중구 남산로*길 *, ***동 ****호 (남산동, 남산역 화성파크드림)41977웃는사람20220518131407I2022-05-20 00:22:32.0<NA>342834.943321263144.767563<NA><NA><NA><NA>
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