Overview

Dataset statistics

Number of variables32
Number of observations8983
Missing cells91035
Missing cells (%)31.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 MiB
Average record size in memory277.0 B

Variable types

Numeric9
Categorical9
Text5
Unsupported8
DateTime1

Dataset

Description22년08월_6270000_대구광역시_01_02_03_P_의료기기판매(임대)업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000094299&dataSetDetailId=DDI_0000094383&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 8983 (100.0%) missing valuesMissing
폐업일자 has 5503 (61.3%) missing valuesMissing
재개업일자 has 8983 (100.0%) missing valuesMissing
소재지전화 has 5277 (58.7%) missing valuesMissing
소재지면적 has 8983 (100.0%) missing valuesMissing
소재지우편번호 has 5367 (59.7%) missing valuesMissing
소재지전체주소 has 499 (5.6%) missing valuesMissing
도로명전체주소 has 412 (4.6%) missing valuesMissing
도로명우편번호 has 1083 (12.1%) missing valuesMissing
업태구분명 has 8983 (100.0%) missing valuesMissing
좌표정보(X) has 515 (5.7%) missing valuesMissing
좌표정보(Y) has 515 (5.7%) missing valuesMissing
수리대상 의료기기의 유형 has 8983 (100.0%) missing valuesMissing
다른 겸업 여부 has 8983 (100.0%) missing valuesMissing
총규모 has 8983 (100.0%) missing valuesMissing
영업규모 has 8983 (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 20:06:16.265627
Analysis finished2023-12-10 20:06:19.307667
Duration3.04 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct8983
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4492
Minimum1
Maximum8983
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size79.1 KiB
2023-12-11T05:06:19.407686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile450.1
Q12246.5
median4492
Q36737.5
95-th percentile8533.9
Maximum8983
Range8982
Interquartile range (IQR)4491

Descriptive statistics

Standard deviation2593.3131
Coefficient of variation (CV)0.57731814
Kurtosis-1.2
Mean4492
Median Absolute Deviation (MAD)2246
Skewness0
Sum40351636
Variance6725272.7
MonotonicityStrictly increasing
2023-12-11T05:06:19.644365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
5993 1
 
< 0.1%
5987 1
 
< 0.1%
5988 1
 
< 0.1%
5989 1
 
< 0.1%
5990 1
 
< 0.1%
5991 1
 
< 0.1%
5992 1
 
< 0.1%
5994 1
 
< 0.1%
5985 1
 
< 0.1%
Other values (8973) 8973
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 (%)
8983 1
< 0.1%
8982 1
< 0.1%
8981 1
< 0.1%
8980 1
< 0.1%
8979 1
< 0.1%
8978 1
< 0.1%
8977 1
< 0.1%
8976 1
< 0.1%
8975 1
< 0.1%
8974 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size70.3 KiB
의료기기판매(임대)업
8983 

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 8983
100.0%

Length

2023-12-11T05:06:19.872828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:06:20.044790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의료기기판매(임대)업 8983
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size70.3 KiB
01_02_03_P
8983 

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 8983
100.0%

Length

2023-12-11T05:06:20.229912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:06:20.423767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01_02_03_p 8983
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3445007.2
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size79.1 KiB
2023-12-11T05:06:20.604780image/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 deviation22003.255
Coefficient of variation (CV)0.0063869982
Kurtosis-1.2743273
Mean3445007.2
Median Absolute Deviation (MAD)20000
Skewness-0.21133658
Sum3.09465 × 1010
Variance4.8414323 × 108
MonotonicityIncreasing
2023-12-11T05:06:20.833197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 1668
18.6%
3450000 1470
16.4%
3460000 1451
16.2%
3420000 1447
16.1%
3410000 1080
12.0%
3440000 823
9.2%
3430000 584
 
6.5%
3480000 460
 
5.1%
ValueCountFrequency (%)
3410000 1080
12.0%
3420000 1447
16.1%
3430000 584
 
6.5%
3440000 823
9.2%
3450000 1470
16.4%
3460000 1451
16.2%
3470000 1668
18.6%
3480000 460
 
5.1%
ValueCountFrequency (%)
3480000 460
 
5.1%
3470000 1668
18.6%
3460000 1451
16.2%
3450000 1470
16.4%
3440000 823
9.2%
3430000 584
 
6.5%
3420000 1447
16.1%
3410000 1080
12.0%

관리번호
Text

UNIQUE 

Distinct8983
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size70.3 KiB
2023-12-11T05:06:21.179790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters224575
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

Unique8983 ?
Unique (%)100.0%

Sample

1st rowPHMG120213410023047000017
2nd rowPHMG120183410023047000057
3rd rowPHMG120183410023047000058
4th rowPHMG120183410023047000051
5th rowPHMG120183410023047000059
ValueCountFrequency (%)
phmg120213410023047000017 1
 
< 0.1%
phmg120103460023047000048 1
 
< 0.1%
phmg120153460023047000049 1
 
< 0.1%
phmg120153460023047000047 1
 
< 0.1%
phmg120153460023047000046 1
 
< 0.1%
phmg120153460023047000044 1
 
< 0.1%
phmg120113460023047000047 1
 
< 0.1%
phmg120113460023047000066 1
 
< 0.1%
phmg120113460023047000045 1
 
< 0.1%
phmg120103460023047000046 1
 
< 0.1%
Other values (8973) 8973
99.9%
2023-12-11T05:06:21.763748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 75823
33.8%
2 29144
 
13.0%
4 22396
 
10.0%
1 20173
 
9.0%
3 16067
 
7.2%
7 12549
 
5.6%
P 8983
 
4.0%
H 8983
 
4.0%
M 8983
 
4.0%
G 8983
 
4.0%
Other values (4) 12491
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 188643
84.0%
Uppercase Letter 35932
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 75823
40.2%
2 29144
 
15.4%
4 22396
 
11.9%
1 20173
 
10.7%
3 16067
 
8.5%
7 12549
 
6.7%
5 3805
 
2.0%
6 3610
 
1.9%
9 2658
 
1.4%
8 2418
 
1.3%
Uppercase Letter
ValueCountFrequency (%)
P 8983
25.0%
H 8983
25.0%
M 8983
25.0%
G 8983
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 188643
84.0%
Latin 35932
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 75823
40.2%
2 29144
 
15.4%
4 22396
 
11.9%
1 20173
 
10.7%
3 16067
 
8.5%
7 12549
 
6.7%
5 3805
 
2.0%
6 3610
 
1.9%
9 2658
 
1.4%
8 2418
 
1.3%
Latin
ValueCountFrequency (%)
P 8983
25.0%
H 8983
25.0%
M 8983
25.0%
G 8983
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 224575
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 75823
33.8%
2 29144
 
13.0%
4 22396
 
10.0%
1 20173
 
9.0%
3 16067
 
7.2%
7 12549
 
5.6%
P 8983
 
4.0%
H 8983
 
4.0%
M 8983
 
4.0%
G 8983
 
4.0%
Other values (4) 12491
 
5.6%

인허가일자
Real number (ℝ)

Distinct3747
Distinct (%)41.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20149034
Minimum19721211
Maximum20220831
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size79.1 KiB
2023-12-11T05:06:22.074008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19721211
5-th percentile20041208
Q120110519
median20151109
Q320201110
95-th percentile20220414
Maximum20220831
Range499620
Interquartile range (IQR)90590.5

Descriptive statistics

Standard deviation59553.112
Coefficient of variation (CV)0.0029556312
Kurtosis1.0816251
Mean20149034
Median Absolute Deviation (MAD)49606
Skewness-0.8329766
Sum1.8099877 × 1011
Variance3.5465731 × 109
MonotonicityNot monotonic
2023-12-11T05:06:22.380057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210506 119
 
1.3%
20220208 96
 
1.1%
20220204 80
 
0.9%
20220207 73
 
0.8%
20220209 71
 
0.8%
20220203 68
 
0.8%
20220210 61
 
0.7%
20141031 59
 
0.7%
20220215 52
 
0.6%
20220214 51
 
0.6%
Other values (3737) 8253
91.9%
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 (%)
20220831 4
 
< 0.1%
20220830 11
0.1%
20220829 6
0.1%
20220826 4
 
< 0.1%
20220825 3
 
< 0.1%
20220824 3
 
< 0.1%
20220823 5
0.1%
20220822 4
 
< 0.1%
20220819 6
0.1%
20220818 5
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing8983
Missing (%)100.0%
Memory size79.1 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size70.3 KiB
1
5501 
3
3338 
4
 
142
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 5501
61.2%
3 3338
37.2%
4 142
 
1.6%
2 2
 
< 0.1%

Length

2023-12-11T05:06:22.598371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:06:22.770180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 5501
61.2%
3 3338
37.2%
4 142
 
1.6%
2 2
 
< 0.1%

영업상태명
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size70.3 KiB
영업/정상
5501 
폐업
3338 
취소/말소/만료/정지/중지
 
142
휴업
 
2

Length

Max length14
Median length5
Mean length4.0268285
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 5501
61.2%
폐업 3338
37.2%
취소/말소/만료/정지/중지 142
 
1.6%
휴업 2
 
< 0.1%

Length

2023-12-11T05:06:22.947028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:06:23.147244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 5501
61.2%
폐업 3338
37.2%
취소/말소/만료/정지/중지 142
 
1.6%
휴업 2
 
< 0.1%

상세영업상태코드
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size70.3 KiB
13
5501 
3
3338 
24
 
142
2
 
2

Length

Max length2
Median length2
Mean length1.6281866
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 5501
61.2%
3 3338
37.2%
24 142
 
1.6%
2 2
 
< 0.1%

Length

2023-12-11T05:06:23.359725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:06:23.549742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 5501
61.2%
3 3338
37.2%
24 142
 
1.6%
2 2
 
< 0.1%

상세영업상태명
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size70.3 KiB
영업중
5501 
폐업
3338 
직권폐업
 
142
휴업
 
2

Length

Max length4
Median length3
Mean length2.6439942
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 5501
61.2%
폐업 3338
37.2%
직권폐업 142
 
1.6%
휴업 2
 
< 0.1%

Length

2023-12-11T05:06:23.783595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:06:24.002134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 5501
61.2%
폐업 3338
37.2%
직권폐업 142
 
1.6%
휴업 2
 
< 0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct1942
Distinct (%)55.8%
Missing5503
Missing (%)61.3%
Infinite0
Infinite (%)0.0%
Mean20152953
Minimum20050218
Maximum20220830
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size79.1 KiB
2023-12-11T05:06:24.214667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20050218
5-th percentile20090602
Q120130116
median20160124
Q320180705
95-th percentile20211217
Maximum20220830
Range170612
Interquartile range (IQR)50589.5

Descriptive statistics

Standard deviation37492.427
Coefficient of variation (CV)0.0018603937
Kurtosis-0.78907887
Mean20152953
Median Absolute Deviation (MAD)29595
Skewness-0.091672165
Sum7.0132276 × 1010
Variance1.4056821 × 109
MonotonicityNot monotonic
2023-12-11T05:06:24.459338image/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 (1932) 3146
35.0%
(Missing) 5503
61.3%
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 (%)
20220830 2
 
< 0.1%
20220817 1
 
< 0.1%
20220810 2
 
< 0.1%
20220805 5
0.1%
20220804 1
 
< 0.1%
20220802 1
 
< 0.1%
20220801 2
 
< 0.1%
20220731 1
 
< 0.1%
20220729 1
 
< 0.1%
20220726 1
 
< 0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size70.3 KiB
<NA>
8981 
20180726
 
1
20170215
 
1

Length

Max length8
Median length4
Mean length4.0008906
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> 8981
> 99.9%
20180726 1
 
< 0.1%
20170215 1
 
< 0.1%

Length

2023-12-11T05:06:24.756955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:06:24.953681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8981
> 99.9%
20180726 1
 
< 0.1%
20170215 1
 
< 0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size70.3 KiB
<NA>
8980 
20190726
 
1
99991231
 
1
20200215
 
1

Length

Max length8
Median length4
Mean length4.0013359
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> 8980
> 99.9%
20190726 1
 
< 0.1%
99991231 1
 
< 0.1%
20200215 1
 
< 0.1%

Length

2023-12-11T05:06:25.166314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:06:25.362603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8980
> 99.9%
20190726 1
 
< 0.1%
99991231 1
 
< 0.1%
20200215 1
 
< 0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing8983
Missing (%)100.0%
Memory size79.1 KiB

소재지전화
Text

MISSING 

Distinct3436
Distinct (%)92.7%
Missing5277
Missing (%)58.7%
Memory size70.3 KiB
2023-12-11T05:06:25.691371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length10.545872
Min length2

Characters and Unicode

Total characters39083
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

Unique3224 ?
Unique (%)87.0%

Sample

1st row053-253-5049
2nd row070-4858-8698
3rd row--
4th row053-957-1152
5th row053-624-1600
ValueCountFrequency (%)
30
 
0.8%
053 7
 
0.2%
053-742-0955 4
 
0.1%
053-754-9141 4
 
0.1%
053-623-3140 4
 
0.1%
053-627-6551 4
 
0.1%
424-1124 4
 
0.1%
053-656-5675 4
 
0.1%
945-5000 3
 
0.1%
053-741-3999 3
 
0.1%
Other values (3428) 3647
98.2%
2023-12-11T05:06:26.304562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 5967
15.3%
- 5838
14.9%
3 4751
12.2%
0 4625
11.8%
2 3235
8.3%
7 2915
7.5%
6 2617
6.7%
4 2519
6.4%
1 2472
6.3%
8 2160
 
5.5%
Other values (7) 1984
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 33148
84.8%
Dash Punctuation 5838
 
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 5967
18.0%
3 4751
14.3%
0 4625
14.0%
2 3235
9.8%
7 2915
8.8%
6 2617
7.9%
4 2519
7.6%
1 2472
7.5%
8 2160
 
6.5%
9 1887
 
5.7%
Other Punctuation
ValueCountFrequency (%)
/ 1
50.0%
, 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 5838
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 39083
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 5967
15.3%
- 5838
14.9%
3 4751
12.2%
0 4625
11.8%
2 3235
8.3%
7 2915
7.5%
6 2617
6.7%
4 2519
6.4%
1 2472
6.3%
8 2160
 
5.5%
Other values (7) 1984
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 39083
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 5967
15.3%
- 5838
14.9%
3 4751
12.2%
0 4625
11.8%
2 3235
8.3%
7 2915
7.5%
6 2617
6.7%
4 2519
6.4%
1 2472
6.3%
8 2160
 
5.5%
Other values (7) 1984
 
5.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing8983
Missing (%)100.0%
Memory size79.1 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct683
Distinct (%)18.9%
Missing5367
Missing (%)59.7%
Infinite0
Infinite (%)0.0%
Mean698522.96
Minimum41074
Maximum711891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size79.1 KiB
2023-12-11T05:06:26.545790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41074
5-th percentile700421
Q1701843
median703812
Q3705800
95-th percentile706830.25
Maximum711891
Range670817
Interquartile range (IQR)3957

Descriptive statistics

Standard deviation59049.082
Coefficient of variation (CV)0.084534203
Kurtosis119.51046
Mean698522.96
Median Absolute Deviation (MAD)1970.5
Skewness-11.0119
Sum2.525859 × 109
Variance3.4867941 × 109
MonotonicityNot monotonic
2023-12-11T05:06:26.765137image/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
 
0.3%
700847 30
 
0.3%
704834 30
 
0.3%
701829 29
 
0.3%
706032 25
 
0.3%
Other values (673) 3283
36.5%
(Missing) 5367
59.7%
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 

Distinct3596
Distinct (%)42.4%
Missing499
Missing (%)5.6%
Memory size70.3 KiB
2023-12-11T05:06:27.314698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length48
Mean length23.271806
Min length8

Characters and Unicode

Total characters197438
Distinct characters452
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

Unique2364 ?
Unique (%)27.9%

Sample

1st row대구광역시 중구 동인동*가 ***번지 *호
2nd row대구광역시 중구 남일동 **번지
3rd row대구광역시 중구 동인동*가 ***번지 *호
4th row대구광역시 중구 남산동 ***번지 **호
5th row대구광역시 중구 삼덕동*가 ***번지 **호 삼성빌딩
ValueCountFrequency (%)
대구광역시 8440
20.0%
번지 4911
 
11.6%
호 4638
 
11.0%
3086
 
7.3%
달서구 1573
 
3.7%
층 1563
 
3.7%
북구 1468
 
3.5%
동구 1382
 
3.3%
수성구 1327
 
3.1%
중구 942
 
2.2%
Other values (1445) 12937
30.6%
2023-12-11T05:06:28.088320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 42718
21.6%
33917
17.2%
구 16785
 
8.5%
동 10121
 
5.1%
대 9546
 
4.8%
시 8619
 
4.4%
역 8517
 
4.3%
광 8464
 
4.3%
지 5596
 
2.8%
번 4921
 
2.5%
Other values (442) 48234
24.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 116381
58.9%
Other Punctuation 42898
 
21.7%
Space Separator 33917
 
17.2%
Dash Punctuation 2725
 
1.4%
Open Punctuation 597
 
0.3%
Close Punctuation 595
 
0.3%
Uppercase Letter 214
 
0.1%
Math Symbol 65
 
< 0.1%
Lowercase Letter 46
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 16785
14.4%
동 10121
 
8.7%
대 9546
 
8.2%
시 8619
 
7.4%
역 8517
 
7.3%
광 8464
 
7.3%
지 5596
 
4.8%
번 4921
 
4.2%
호 4909
 
4.2%
성 2508
 
2.2%
Other values (392) 36395
31.3%
Uppercase Letter
ValueCountFrequency (%)
A 45
21.0%
B 34
15.9%
T 15
 
7.0%
C 14
 
6.5%
S 14
 
6.5%
D 12
 
5.6%
L 11
 
5.1%
H 11
 
5.1%
K 9
 
4.2%
O 8
 
3.7%
Other values (13) 41
19.2%
Lowercase Letter
ValueCountFrequency (%)
e 21
45.7%
s 6
 
13.0%
l 4
 
8.7%
u 3
 
6.5%
m 2
 
4.3%
d 2
 
4.3%
x 2
 
4.3%
y 1
 
2.2%
a 1
 
2.2%
o 1
 
2.2%
Other values (3) 3
 
6.5%
Other Punctuation
ValueCountFrequency (%)
* 42718
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 (%)
33917
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2725
100.0%
Open Punctuation
ValueCountFrequency (%)
( 597
100.0%
Close Punctuation
ValueCountFrequency (%)
) 595
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 116381
58.9%
Common 80797
40.9%
Latin 260
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 16785
14.4%
동 10121
 
8.7%
대 9546
 
8.2%
시 8619
 
7.4%
역 8517
 
7.3%
광 8464
 
7.3%
지 5596
 
4.8%
번 4921
 
4.2%
호 4909
 
4.2%
성 2508
 
2.2%
Other values (392) 36395
31.3%
Latin
ValueCountFrequency (%)
A 45
17.3%
B 34
13.1%
e 21
 
8.1%
T 15
 
5.8%
C 14
 
5.4%
S 14
 
5.4%
D 12
 
4.6%
L 11
 
4.2%
H 11
 
4.2%
K 9
 
3.5%
Other values (26) 74
28.5%
Common
ValueCountFrequency (%)
* 42718
52.9%
33917
42.0%
- 2725
 
3.4%
( 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 116381
58.9%
ASCII 81055
41.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 42718
52.7%
33917
41.8%
- 2725
 
3.4%
( 597
 
0.7%
) 595
 
0.7%
, 115
 
0.1%
. 45
 
0.1%
A 45
 
0.1%
B 34
 
< 0.1%
> 25
 
< 0.1%
Other values (39) 239
 
0.3%
Hangul
ValueCountFrequency (%)
구 16785
14.4%
동 10121
 
8.7%
대 9546
 
8.2%
시 8619
 
7.4%
역 8517
 
7.3%
광 8464
 
7.3%
지 5596
 
4.8%
번 4921
 
4.2%
호 4909
 
4.2%
성 2508
 
2.2%
Other values (392) 36395
31.3%
None
ValueCountFrequency (%)
· 2
100.0%

도로명전체주소
Text

MISSING 

Distinct5330
Distinct (%)62.2%
Missing412
Missing (%)4.6%
Memory size70.3 KiB
2023-12-11T05:06:28.565614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length59
Mean length29.394003
Min length15

Characters and Unicode

Total characters251936
Distinct characters489
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

Unique3936 ?
Unique (%)45.9%

Sample

1st row대구광역시 중구 국채보상로***길 **-*, 지하*층 (동인동*가)
2nd row대구광역시 중구 국채보상로***길 *, *층 ***호 (동인동*가)
3rd row대구광역시 중구 중앙대로 ***-*, 지하*층 (남일동)
4th row대구광역시 중구 태평로 ***, *층 (동인동*가)
5th row대구광역시 중구 *·**길 **-*, *층 (남산동)
ValueCountFrequency (%)
대구광역시 8569
16.8%
8198
 
16.1%
층 3850
 
7.5%
호 1641
 
3.2%
달서구 1558
 
3.1%
동구 1442
 
2.8%
북구 1410
 
2.8%
수성구 1361
 
2.7%
중구 983
 
1.9%
남구 818
 
1.6%
Other values (2357) 21197
41.5%
2023-12-11T05:06:29.679589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
42510
16.9%
* 41157
16.3%
구 17937
 
7.1%
동 12089
 
4.8%
대 11378
 
4.5%
시 8829
 
3.5%
역 8694
 
3.5%
광 8593
 
3.4%
로 8457
 
3.4%
) 8375
 
3.3%
Other values (479) 83917
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 143056
56.8%
Other Punctuation 47721
 
18.9%
Space Separator 42510
 
16.9%
Close Punctuation 8375
 
3.3%
Open Punctuation 8375
 
3.3%
Dash Punctuation 1463
 
0.6%
Uppercase Letter 302
 
0.1%
Math Symbol 90
 
< 0.1%
Lowercase Letter 44
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 17937
 
12.5%
동 12089
 
8.5%
대 11378
 
8.0%
시 8829
 
6.2%
역 8694
 
6.1%
광 8593
 
6.0%
로 8457
 
5.9%
층 4333
 
3.0%
길 3626
 
2.5%
성 3168
 
2.2%
Other values (428) 55952
39.1%
Uppercase Letter
ValueCountFrequency (%)
A 84
27.8%
B 56
18.5%
C 21
 
7.0%
L 17
 
5.6%
S 17
 
5.6%
H 15
 
5.0%
D 11
 
3.6%
T 11
 
3.6%
E 10
 
3.3%
K 9
 
3.0%
Other values (15) 51
16.9%
Lowercase Letter
ValueCountFrequency (%)
e 20
45.5%
s 6
 
13.6%
m 3
 
6.8%
u 2
 
4.5%
l 2
 
4.5%
p 2
 
4.5%
b 2
 
4.5%
o 2
 
4.5%
d 2
 
4.5%
c 1
 
2.3%
Other values (2) 2
 
4.5%
Other Punctuation
ValueCountFrequency (%)
* 41157
86.2%
, 6542
 
13.7%
/ 10
 
< 0.1%
· 8
 
< 0.1%
. 3
 
< 0.1%
& 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 39
43.3%
> 25
27.8%
< 25
27.8%
+ 1
 
1.1%
Space Separator
ValueCountFrequency (%)
42510
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8375
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8375
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1463
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 143056
56.8%
Common 108534
43.1%
Latin 346
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 17937
 
12.5%
동 12089
 
8.5%
대 11378
 
8.0%
시 8829
 
6.2%
역 8694
 
6.1%
광 8593
 
6.0%
로 8457
 
5.9%
층 4333
 
3.0%
길 3626
 
2.5%
성 3168
 
2.2%
Other values (428) 55952
39.1%
Latin
ValueCountFrequency (%)
A 84
24.3%
B 56
16.2%
C 21
 
6.1%
e 20
 
5.8%
L 17
 
4.9%
S 17
 
4.9%
H 15
 
4.3%
D 11
 
3.2%
T 11
 
3.2%
E 10
 
2.9%
Other values (27) 84
24.3%
Common
ValueCountFrequency (%)
42510
39.2%
* 41157
37.9%
) 8375
 
7.7%
( 8375
 
7.7%
, 6542
 
6.0%
- 1463
 
1.3%
~ 39
 
< 0.1%
> 25
 
< 0.1%
< 25
 
< 0.1%
/ 10
 
< 0.1%
Other values (4) 13
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 143056
56.8%
ASCII 108872
43.2%
None 8
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
42510
39.0%
* 41157
37.8%
) 8375
 
7.7%
( 8375
 
7.7%
, 6542
 
6.0%
- 1463
 
1.3%
A 84
 
0.1%
B 56
 
0.1%
~ 39
 
< 0.1%
> 25
 
< 0.1%
Other values (40) 246
 
0.2%
Hangul
ValueCountFrequency (%)
구 17937
 
12.5%
동 12089
 
8.5%
대 11378
 
8.0%
시 8829
 
6.2%
역 8694
 
6.1%
광 8593
 
6.0%
로 8457
 
5.9%
층 4333
 
3.0%
길 3626
 
2.5%
성 3168
 
2.2%
Other values (428) 55952
39.1%
None
ValueCountFrequency (%)
· 8
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct1576
Distinct (%)19.9%
Missing1083
Missing (%)12.1%
Infinite0
Infinite (%)0.0%
Mean104570.18
Minimum5510
Maximum711874
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size79.1 KiB
2023-12-11T05:06:29.889214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5510
5-th percentile41110
Q141518
median42063.5
Q342679.25
95-th percentile702863.25
Maximum711874
Range706364
Interquartile range (IQR)1161.25

Descriptive statistics

Standard deviation193653.09
Coefficient of variation (CV)1.8518959
Kurtosis5.6847029
Mean104570.18
Median Absolute Deviation (MAD)577.5
Skewness2.7718163
Sum8.2610442 × 108
Variance3.7501518 × 1010
MonotonicityNot monotonic
2023-12-11T05:06:30.090383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41505 53
 
0.6%
41251 38
 
0.4%
41518 37
 
0.4%
41940 34
 
0.4%
41937 32
 
0.4%
41907 31
 
0.3%
41422 31
 
0.3%
42430 30
 
0.3%
41477 28
 
0.3%
41475 28
 
0.3%
Other values (1566) 7558
84.1%
(Missing) 1083
 
12.1%
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

Distinct7854
Distinct (%)87.4%
Missing0
Missing (%)0.0%
Memory size70.3 KiB
2023-12-11T05:06:30.494339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length23
Mean length7.6630302
Min length2

Characters and Unicode

Total characters68837
Distinct characters798
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

Unique7118 ?
Unique (%)79.2%

Sample

1st row유일메디칼
2nd row한메디칼
3rd row빅스메디
4th row디에스메디랩
5th row아리랑과학
ValueCountFrequency (%)
세븐일레븐 473
 
4.0%
씨유 313
 
2.6%
주식회사 301
 
2.5%
gs25 242
 
2.0%
지에스25 112
 
0.9%
이마트24 49
 
0.4%
cu 42
 
0.4%
주)코리아세븐 37
 
0.3%
메디칼 29
 
0.2%
주)아성다이소 26
 
0.2%
Other values (7838) 10216
86.3%
2023-12-11T05:06:31.136638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2860
 
4.2%
점 2723
 
4.0%
디 1985
 
2.9%
대 1957
 
2.8%
메 1917
 
2.8%
이 1799
 
2.6%
스 1700
 
2.5%
구 1564
 
2.3%
주 1297
 
1.9%
) 1124
 
1.6%
Other values (788) 49911
72.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 59683
86.7%
Space Separator 2860
 
4.2%
Uppercase Letter 1976
 
2.9%
Decimal Number 1450
 
2.1%
Close Punctuation 1124
 
1.6%
Open Punctuation 1105
 
1.6%
Lowercase Letter 384
 
0.6%
Other Symbol 148
 
0.2%
Other Punctuation 89
 
0.1%
Dash Punctuation 13
 
< 0.1%
Other values (2) 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 2723
 
4.6%
디 1985
 
3.3%
대 1957
 
3.3%
메 1917
 
3.2%
이 1799
 
3.0%
스 1700
 
2.8%
구 1564
 
2.6%
주 1297
 
2.2%
븐 1115
 
1.9%
칼 1017
 
1.7%
Other values (714) 42609
71.4%
Uppercase Letter
ValueCountFrequency (%)
S 483
24.4%
G 403
20.4%
C 199
10.1%
U 135
 
6.8%
M 100
 
5.1%
H 65
 
3.3%
K 61
 
3.1%
D 57
 
2.9%
A 53
 
2.7%
T 50
 
2.5%
Other values (15) 370
18.7%
Lowercase Letter
ValueCountFrequency (%)
e 56
14.6%
a 40
 
10.4%
i 27
 
7.0%
s 26
 
6.8%
c 25
 
6.5%
l 21
 
5.5%
m 21
 
5.5%
o 20
 
5.2%
h 19
 
4.9%
n 19
 
4.9%
Other values (15) 110
28.6%
Decimal Number
ValueCountFrequency (%)
2 655
45.2%
5 539
37.2%
4 89
 
6.1%
1 56
 
3.9%
3 51
 
3.5%
0 37
 
2.6%
6 10
 
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%
Math Symbol
ValueCountFrequency (%)
+ 2
50.0%
< 1
25.0%
> 1
25.0%
Space Separator
ValueCountFrequency (%)
2860
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1124
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1105
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 148
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 59828
86.9%
Common 6646
 
9.7%
Latin 2360
 
3.4%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 2723
 
4.6%
디 1985
 
3.3%
대 1957
 
3.3%
메 1917
 
3.2%
이 1799
 
3.0%
스 1700
 
2.8%
구 1564
 
2.6%
주 1297
 
2.2%
븐 1115
 
1.9%
칼 1017
 
1.7%
Other values (713) 42754
71.5%
Latin
ValueCountFrequency (%)
S 483
20.5%
G 403
17.1%
C 199
 
8.4%
U 135
 
5.7%
M 100
 
4.2%
H 65
 
2.8%
K 61
 
2.6%
D 57
 
2.4%
e 56
 
2.4%
A 53
 
2.2%
Other values (40) 748
31.7%
Common
ValueCountFrequency (%)
2860
43.0%
) 1124
 
16.9%
( 1105
 
16.6%
2 655
 
9.9%
5 539
 
8.1%
4 89
 
1.3%
1 56
 
0.8%
3 51
 
0.8%
. 41
 
0.6%
& 40
 
0.6%
Other values (13) 86
 
1.3%
Han
ValueCountFrequency (%)
舜 2
66.7%
愛 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 59680
86.7%
ASCII 9004
 
13.1%
None 150
 
0.2%
CJK 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2860
31.8%
) 1124
 
12.5%
( 1105
 
12.3%
2 655
 
7.3%
5 539
 
6.0%
S 483
 
5.4%
G 403
 
4.5%
C 199
 
2.2%
U 135
 
1.5%
M 100
 
1.1%
Other values (62) 1401
15.6%
Hangul
ValueCountFrequency (%)
점 2723
 
4.6%
디 1985
 
3.3%
대 1957
 
3.3%
메 1917
 
3.2%
이 1799
 
3.0%
스 1700
 
2.8%
구 1564
 
2.6%
주 1297
 
2.2%
븐 1115
 
1.9%
칼 1017
 
1.7%
Other values (712) 42606
71.4%
None
ValueCountFrequency (%)
㈜ 148
98.7%
· 2
 
1.3%
CJK
ValueCountFrequency (%)
舜 2
66.7%
愛 1
33.3%

최종수정시점
Real number (ℝ)

Distinct8964
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0174484 × 1013
Minimum2.008091 × 1013
Maximum2.0220831 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size79.1 KiB
2023-12-11T05:06:31.350834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.008091 × 1013
5-th percentile2.0101007 × 1013
Q12.0141201 × 1013
median2.0180705 × 1013
Q32.0210601 × 1013
95-th percentile2.0220609 × 1013
Maximum2.0220831 × 1013
Range1.3992117 × 1011
Interquartile range (IQR)6.9399971 × 1010

Descriptive statistics

Standard deviation3.9533566 × 1010
Coefficient of variation (CV)0.0019595825
Kurtosis-0.84793661
Mean2.0174484 × 1013
Median Absolute Deviation (MAD)3.0225025 × 1010
Skewness-0.51717946
Sum1.8122739 × 1017
Variance1.5629028 × 1021
MonotonicityNot monotonic
2023-12-11T05:06:31.568193image/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%
20110303095749 1
 
< 0.1%
20130328143533 1
 
< 0.1%
20131031095443 1
 
< 0.1%
20150206161735 1
 
< 0.1%
Other values (8954) 8954
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 (%)
20220831174153 1
< 0.1%
20220831155545 1
< 0.1%
20220831152525 1
< 0.1%
20220831134321 1
< 0.1%
20220831125358 1
< 0.1%
20220831125115 1
< 0.1%
20220831102030 1
< 0.1%
20220831091339 1
< 0.1%
20220831091228 1
< 0.1%
20220830190644 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size70.3 KiB
I
7256 
U
1727 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 7256
80.8%
U 1727
 
19.2%

Length

2023-12-11T05:06:31.755960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:06:31.900806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 7256
80.8%
u 1727
 
19.2%

데이터갱신일자
Date

Distinct1499
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size70.3 KiB
Minimum2018-08-31 23:59:59
Maximum2022-09-02 02:40:00
2023-12-11T05:06:32.085685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:06:32.291677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing8983
Missing (%)100.0%
Memory size79.1 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct5875
Distinct (%)69.4%
Missing515
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean343479.23
Minimum208836.19
Maximum398099.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size79.1 KiB
2023-12-11T05:06:32.494401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum208836.19
5-th percentile334780.59
Q1340094.34
median343943.86
Q3346571.17
95-th percentile353504.09
Maximum398099.51
Range189263.32
Interquartile range (IQR)6476.831

Descriptive statistics

Standard deviation5353.1598
Coefficient of variation (CV)0.015585105
Kurtosis48.523983
Mean343479.23
Median Absolute Deviation (MAD)3093.3849
Skewness-1.7910439
Sum2.9085821 × 109
Variance28656320
MonotonicityNot monotonic
2023-12-11T05:06:32.732923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
344997.585301 33
 
0.4%
344912.358902 28
 
0.3%
344879.421494 24
 
0.3%
345032.238221 21
 
0.2%
347037.24197 18
 
0.2%
339047.793379 16
 
0.2%
344686.259338 15
 
0.2%
343588.735555 15
 
0.2%
344047.164924 14
 
0.2%
347026.640346 14
 
0.2%
Other values (5865) 8270
92.1%
(Missing) 515
 
5.7%
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 

Distinct5874
Distinct (%)69.4%
Missing515
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean263517.79
Minimum240209.55
Maximum445807.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size79.1 KiB
2023-12-11T05:06:32.983704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum240209.55
5-th percentile257897.95
Q1261485.26
median263787.95
Q3265440.29
95-th percentile270623.47
Maximum445807.73
Range205598.18
Interquartile range (IQR)3955.0333

Descriptive statistics

Standard deviation4704.4283
Coefficient of variation (CV)0.017852413
Kurtosis269.62571
Mean263517.79
Median Absolute Deviation (MAD)1995.3083
Skewness5.9343742
Sum2.2314686 × 109
Variance22131646
MonotonicityNot monotonic
2023-12-11T05:06:33.184732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
268604.350566 33
 
0.4%
268253.830253 28
 
0.3%
268476.874903 24
 
0.3%
262949.871621 21
 
0.2%
265407.404337 18
 
0.2%
258741.90218 16
 
0.2%
263958.880864 15
 
0.2%
264119.01075 15
 
0.2%
265132.987974 14
 
0.2%
264596.130831 14
 
0.2%
Other values (5864) 8270
92.1%
(Missing) 515
 
5.7%
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 2
< 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 

Missing8983
Missing (%)100.0%
Memory size79.1 KiB

다른 겸업 여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing8983
Missing (%)100.0%
Memory size79.1 KiB

총규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing8983
Missing (%)100.0%
Memory size79.1 KiB

영업규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing8983
Missing (%)100.0%
Memory size79.1 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)수리대상 의료기기의 유형다른 겸업 여부총규모영업규모
01의료기기판매(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>
12의료기기판매(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>
23의료기기판매(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>
34의료기기판매(임대)업01_02_03_P3410000PHMG12018341002304700005120180619<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 동인동*가 ***번지 *호대구광역시 중구 태평로 ***, *층 (동인동*가)41904디에스메디랩20181016104046I2018-10-18 02:35:29.0<NA>345232.224824264875.019412<NA><NA><NA><NA>
45의료기기판매(임대)업01_02_03_P3410000PHMG12018341002304700005920181023<NA>1영업/정상13영업중<NA><NA><NA><NA>053-253-5049<NA><NA>대구광역시 중구 남산동 ***번지 **호대구광역시 중구 *·**길 **-*, *층 (남산동)41968아리랑과학20200707144213U2020-07-09 02:40:00.0<NA>343519.465212263255.486356<NA><NA><NA><NA>
56의료기기판매(임대)업01_02_03_P3410000PHMG12018341002304700006020181023<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동*가 ***번지 **호 삼성빌딩대구광역시 중구 공평로 **, *층 (삼덕동*가)41940유한회사메디마켓20181024101850I2018-10-26 02:35:45.0<NA>344454.279135264027.085451<NA><NA><NA><NA>
67의료기기판매(임대)업01_02_03_P3410000PHMG12018341002304700006120181025<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 동성로*가 **번지 **호대구광역시 중구 국채보상로 ***, **층 A**호 (동성로*가)41937세븐메디컬20181026091725I2018-10-28 02:36:04.0<NA>343959.823762264529.39356<NA><NA><NA><NA>
78의료기기판매(임대)업01_02_03_P3410000PHMG12018341002304700006220181025<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 동성로*가 **번지 **호대구광역시 중구 국채보상로 ***, **층 A**호 (동성로*가)41937장안메디칼20181026091830I2018-10-28 02:36:04.0<NA>343959.823762264529.39356<NA><NA><NA><NA>
89의료기기판매(임대)업01_02_03_P3410000PHMG12018341002304700005020181005<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 덕산동 **번지 반월당역 C***호대구광역시 중구 달구벌대로 지하 ****, C***호 (덕산동)41957힐링마켓20181010084835U2018-10-10 23:59:59.0<NA>343820.40768264018.87607<NA><NA><NA><NA>
910의료기기판매(임대)업01_02_03_P3410000PHMG12022341002304700011620220810<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 종로*가 **-* *층 ***호대구광역시 중구 종로 **-*, *층 ***호 (종로*가)41934주식회사 글로벌메드20220810100435I2022-08-12 00:22:28.0<NA>343614.806882264466.012002<NA><NA><NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)수리대상 의료기기의 유형다른 겸업 여부총규모영업규모
89738974의료기기판매(임대)업01_02_03_P3480000PHMG12017348001204700001220170609<NA>3폐업3폐업20180402<NA><NA><NA>053-585-1581<NA><NA>대구광역시 달성군 다사읍 세천리 ****번지 *호대구광역시 달성군 다사읍 세천로 ***, ***호42922다이소 대구세천점20180402144053I2018-08-31 23:59:59.0<NA>333312.662226264830.896277<NA><NA><NA><NA>
89748975의료기기판매(임대)업01_02_03_P3480000PHMG12017348001204700001420170707<NA>3폐업3폐업20181224<NA><NA><NA>053-765-7498<NA><NA>대구광역시 달성군 가창면 용계리 ***번지 **호대구광역시 달성군 가창면 가창로***길 **42934정인상사20181224153359U2018-12-26 02:40:00.0<NA>346711.884372256984.714136<NA><NA><NA><NA>
89758976의료기기판매(임대)업01_02_03_P3480000PHMG12009348001204700000620090513<NA>3폐업3폐업20120926<NA><NA><NA><NA><NA>711835대구광역시 달성군 화원읍 천내리 ***번지대구광역시 달성군 화원읍 비슬로***길 **-*<NA>유성20120928084823I2018-08-31 23:59:59.0<NA>335614.632946256905.734553<NA><NA><NA><NA>
89768977의료기기판매(임대)업01_02_03_P3480000PHMG12013348001204700000120130221<NA>3폐업3폐업20140324<NA><NA><NA><NA><NA>711837대구광역시 달성군 화원읍 천내리 **번지대구광역시 달성군 화원읍 비슬로***길 *711837네오웰빙 창대점20140324181112I2018-08-31 23:59:59.0<NA>335759.378512257194.150319<NA><NA><NA><NA>
89778978의료기기판매(임대)업01_02_03_P3480000PHMG12013348001204700000220130416<NA>3폐업3폐업20150515<NA><NA><NA><NA><NA>711837대구광역시 달성군 화원읍 천내리 **번지 **호대구광역시 달성군 화원읍 비슬로 ****-*711837비겐의료기홈센타20150515155908I2018-08-31 23:59:59.0<NA>335688.73125257157.80461<NA><NA><NA><NA>
89788979의료기기판매(임대)업01_02_03_P3480000PHMG12013348001204700000320130417<NA>3폐업3폐업20151116<NA><NA><NA><NA><NA>711838대구광역시 달성군 화원읍 본리리 **번지 *호대구광역시 달성군 화원읍 명천로**길 *-**42966신아인터네셔날20151116174540I2018-08-31 23:59:59.0<NA>336233.979297256792.615091<NA><NA><NA><NA>
89798980의료기기판매(임대)업01_02_03_P3480000PHMG12014348001204700001220141029<NA>3폐업3폐업20161229<NA><NA><NA>611-0090<NA><NA><NA>대구광역시 달성군 현풍면 현풍중앙로 **43003CU편의점(현풍소망점)20161230084513I2018-08-31 23:59:59.0<NA>330639.138079244735.480978<NA><NA><NA><NA>
89808981의료기기판매(임대)업01_02_03_P3480000PHMG12014348001204700001320160222<NA>3폐업3폐업20160222<NA><NA><NA>053-614-8245<NA><NA><NA>대구광역시 달성군 논공읍 논공로*길 ***42979CU편의점(달성논공점)20160222155358I2018-08-31 23:59:59.0<NA>330727.103756248776.589761<NA><NA><NA><NA>
89818982의료기기판매(임대)업01_02_03_P3480000PHMG12014348001204700001420141105<NA>3폐업3폐업20161229<NA><NA><NA>768-7491<NA><NA><NA>대구광역시 달성군 가창면 가창로 ****42933CU가창점20161229175140I2018-08-31 23:59:59.0<NA>346537.524929257053.774203<NA><NA><NA><NA>
89828983의료기기판매(임대)업01_02_03_P3480000PHMG12014348001204700001520141106<NA>3폐업3폐업20160816<NA><NA><NA>614-6217<NA><NA><NA>대구광역시 달성군 논공읍 논공로 ***42978CU논공사랑점20160816162444I2018-08-31 23:59:59.0<NA>330013.035782248486.936179<NA><NA><NA><NA>