Overview

Dataset statistics

Number of variables32
Number of observations249
Missing cells2666
Missing cells (%)33.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory67.0 KiB
Average record size in memory275.5 B

Variable types

Numeric10
Categorical8
Text6
Unsupported7
Boolean1

Dataset

Description6270000_대구광역시_01_02_02_P_의료기기수리업_8월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000085947&dataSetDetailId=DDI_0000085997&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
데이터갱신구분 is highly imbalanced (51.7%)Imbalance
데이터갱신일자 is highly imbalanced (54.5%)Imbalance
인허가취소일자 has 71 (28.5%) missing valuesMissing
폐업일자 has 199 (79.9%) missing valuesMissing
휴업시작일자 has 249 (100.0%) missing valuesMissing
휴업종료일자 has 249 (100.0%) missing valuesMissing
재개업일자 has 249 (100.0%) missing valuesMissing
소재지전화 has 29 (11.6%) missing valuesMissing
소재지면적 has 249 (100.0%) missing valuesMissing
소재지우편번호 has 149 (59.8%) missing valuesMissing
소재지전체주소 has 14 (5.6%) missing valuesMissing
도로명우편번호 has 100 (40.2%) missing valuesMissing
업태구분명 has 249 (100.0%) missing valuesMissing
수리대상 의료기기의 유형 has 178 (71.5%) missing valuesMissing
다른 겸업 여부 has 178 (71.5%) missing valuesMissing
총규모 has 249 (100.0%) missing valuesMissing
영업규모 has 249 (100.0%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
최종수정시점 has unique valuesUnique
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 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
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 07:22:21.755807
Analysis finished2024-04-18 07:22:22.244361
Duration0.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct249
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean125
Minimum1
Maximum249
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-18T16:22:22.305828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13.4
Q163
median125
Q3187
95-th percentile236.6
Maximum249
Range248
Interquartile range (IQR)124

Descriptive statistics

Standard deviation72.024301
Coefficient of variation (CV)0.57619441
Kurtosis-1.2
Mean125
Median Absolute Deviation (MAD)62
Skewness0
Sum31125
Variance5187.5
MonotonicityStrictly increasing
2024-04-18T16:22:22.433852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
172 1
 
0.4%
159 1
 
0.4%
160 1
 
0.4%
161 1
 
0.4%
162 1
 
0.4%
163 1
 
0.4%
164 1
 
0.4%
165 1
 
0.4%
166 1
 
0.4%
Other values (239) 239
96.0%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
249 1
0.4%
248 1
0.4%
247 1
0.4%
246 1
0.4%
245 1
0.4%
244 1
0.4%
243 1
0.4%
242 1
0.4%
241 1
0.4%
240 1
0.4%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
의료기기수리업
249 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
의료기기수리업 249
100.0%

Length

2024-04-18T16:22:22.546079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:22:22.628451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의료기기수리업 249
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
01_02_02_P
249 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row01_02_02_P
2nd row01_02_02_P
3rd row01_02_02_P
4th row01_02_02_P
5th row01_02_02_P

Common Values

ValueCountFrequency (%)
01_02_02_P 249
100.0%

Length

2024-04-18T16:22:22.712003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:22:22.790040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01_02_02_p 249
100.0%

개방자치단체코드
Real number (ℝ)

Distinct9
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4247510
Minimum3410000
Maximum6270000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-18T16:22:22.861618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13430000
median3460000
Q36270000
95-th percentile6270000
Maximum6270000
Range2860000
Interquartile range (IQR)2840000

Descriptive statistics

Standard deviation1280044.2
Coefficient of variation (CV)0.30136343
Kurtosis-1.0921877
Mean4247510
Median Absolute Deviation (MAD)40000
Skewness0.95687434
Sum1.05763 × 109
Variance1.6385131 × 1012
MonotonicityIncreasing
2024-04-18T16:22:22.954245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
6270000 71
28.5%
3410000 30
12.0%
3420000 30
12.0%
3450000 30
12.0%
3470000 29
11.6%
3440000 21
 
8.4%
3460000 20
 
8.0%
3430000 13
 
5.2%
3480000 5
 
2.0%
ValueCountFrequency (%)
3410000 30
12.0%
3420000 30
12.0%
3430000 13
 
5.2%
3440000 21
 
8.4%
3450000 30
12.0%
3460000 20
 
8.0%
3470000 29
11.6%
3480000 5
 
2.0%
6270000 71
28.5%
ValueCountFrequency (%)
6270000 71
28.5%
3480000 5
 
2.0%
3470000 29
11.6%
3460000 20
 
8.0%
3450000 30
12.0%
3440000 21
 
8.4%
3430000 13
 
5.2%
3420000 30
12.0%
3410000 30
12.0%

관리번호
Text

UNIQUE 

Distinct249
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-04-18T16:22:23.137132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length23.004016
Min length18

Characters and Unicode

Total characters5728
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

Unique249 ?
Unique (%)100.0%

Sample

1st rowPHMG320203410023047400002
2nd rowPHMG320083410023047400001
3rd rowPHMG320163410023047400003
4th rowPHMG320163410023047400002
5th rowPHMG320163410023047400001
ValueCountFrequency (%)
phmg320203410023047400002 1
 
0.4%
phmg320153470022047400003 1
 
0.4%
201162700006000013 1
 
0.4%
phmg320113470022047400003 1
 
0.4%
phmg320113470022047400002 1
 
0.4%
phmg320153470022047400001 1
 
0.4%
phmg320153470022047400002 1
 
0.4%
phmg320183470022047400002 1
 
0.4%
phmg320193470022047400002 1
 
0.4%
phmg320193470022047400001 1
 
0.4%
Other values (239) 239
96.0%
2024-04-18T16:22:23.461460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2145
37.4%
2 657
 
11.5%
4 626
 
10.9%
3 509
 
8.9%
1 436
 
7.6%
7 296
 
5.2%
6 197
 
3.4%
P 178
 
3.1%
H 178
 
3.1%
M 178
 
3.1%
Other values (4) 328
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5016
87.6%
Uppercase Letter 712
 
12.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2145
42.8%
2 657
 
13.1%
4 626
 
12.5%
3 509
 
10.1%
1 436
 
8.7%
7 296
 
5.9%
6 197
 
3.9%
5 74
 
1.5%
9 44
 
0.9%
8 32
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
P 178
25.0%
H 178
25.0%
M 178
25.0%
G 178
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5016
87.6%
Latin 712
 
12.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2145
42.8%
2 657
 
13.1%
4 626
 
12.5%
3 509
 
10.1%
1 436
 
8.7%
7 296
 
5.9%
6 197
 
3.9%
5 74
 
1.5%
9 44
 
0.9%
8 32
 
0.6%
Latin
ValueCountFrequency (%)
P 178
25.0%
H 178
25.0%
M 178
25.0%
G 178
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5728
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2145
37.4%
2 657
 
11.5%
4 626
 
10.9%
3 509
 
8.9%
1 436
 
7.6%
7 296
 
5.2%
6 197
 
3.4%
P 178
 
3.1%
H 178
 
3.1%
M 178
 
3.1%
Other values (4) 328
 
5.7%

인허가일자
Real number (ℝ)

Distinct178
Distinct (%)71.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20110658
Minimum20041004
Maximum20200819
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-18T16:22:23.597944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20041004
5-th percentile20041207
Q120080609
median20110121
Q320141119
95-th percentile20190645
Maximum20200819
Range159815
Interquartile range (IQR)60510

Descriptive statistics

Standard deviation45426.371
Coefficient of variation (CV)0.0022588207
Kurtosis-0.91518187
Mean20110658
Median Absolute Deviation (MAD)30287
Skewness0.21972141
Sum5.007554 × 109
Variance2.0635552 × 109
MonotonicityNot monotonic
2024-04-18T16:22:23.739460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20081126 9
 
3.6%
20041207 9
 
3.6%
20110121 6
 
2.4%
20110124 6
 
2.4%
20050614 3
 
1.2%
20101206 3
 
1.2%
20050622 2
 
0.8%
20091118 2
 
0.8%
20041104 2
 
0.8%
20100927 2
 
0.8%
Other values (168) 205
82.3%
ValueCountFrequency (%)
20041004 2
 
0.8%
20041104 2
 
0.8%
20041129 2
 
0.8%
20041207 9
3.6%
20041209 2
 
0.8%
20041230 1
 
0.4%
20050131 2
 
0.8%
20050215 2
 
0.8%
20050323 1
 
0.4%
20050502 2
 
0.8%
ValueCountFrequency (%)
20200819 1
0.4%
20200717 1
0.4%
20200514 1
0.4%
20200409 1
0.4%
20200218 1
0.4%
20191216 1
0.4%
20191024 1
0.4%
20191018 1
0.4%
20191007 1
0.4%
20190930 1
0.4%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct159
Distinct (%)89.3%
Missing71
Missing (%)28.5%
Infinite0
Infinite (%)0.0%
Mean20157333
Minimum20110402
Maximum20200821
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-18T16:22:23.914386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20110402
5-th percentile20110890
Q120133449
median20160667
Q320181129
95-th percentile20200409
Maximum20200821
Range90419
Interquartile range (IQR)47680.25

Descriptive statistics

Standard deviation29414.352
Coefficient of variation (CV)0.0014592383
Kurtosis-1.1973318
Mean20157333
Median Absolute Deviation (MAD)20542
Skewness-0.256368
Sum3.5880053 × 109
Variance8.6520411 × 108
MonotonicityNot monotonic
2024-04-18T16:22:24.042513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20111124 6
 
2.4%
20111130 4
 
1.6%
20110518 3
 
1.2%
20110916 2
 
0.8%
20111006 2
 
0.8%
20140716 2
 
0.8%
20190923 2
 
0.8%
20171129 2
 
0.8%
20170216 2
 
0.8%
20110923 2
 
0.8%
Other values (149) 151
60.6%
(Missing) 71
28.5%
ValueCountFrequency (%)
20110402 1
 
0.4%
20110419 1
 
0.4%
20110518 3
1.2%
20110623 1
 
0.4%
20110719 1
 
0.4%
20110726 1
 
0.4%
20110823 1
 
0.4%
20110902 1
 
0.4%
20110916 2
0.8%
20110923 2
0.8%
ValueCountFrequency (%)
20200821 1
0.4%
20200820 1
0.4%
20200730 1
0.4%
20200720 1
0.4%
20200713 1
0.4%
20200710 1
0.4%
20200701 1
0.4%
20200518 1
0.4%
20200413 1
0.4%
20200408 1
0.4%

영업상태구분코드
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
1
199 
3
50 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row3
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 199
79.9%
3 50
 
20.1%

Length

2024-04-18T16:22:24.182327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:22:24.261701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 199
79.9%
3 50
 
20.1%

영업상태명
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
영업/정상
199 
폐업
50 

Length

Max length5
Median length5
Mean length4.3975904
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
2nd row폐업
3rd row영업/정상
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
영업/정상 199
79.9%
폐업 50
 
20.1%

Length

2024-04-18T16:22:24.355056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:22:24.437415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 199
79.9%
폐업 50
 
20.1%

상세영업상태코드
Categorical

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
13
128 
1
71 
3
49 
24
 
1

Length

Max length2
Median length2
Mean length1.5180723
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row13
2nd row3
3rd row13
4th row13
5th row13

Common Values

ValueCountFrequency (%)
13 128
51.4%
1 71
28.5%
3 49
 
19.7%
24 1
 
0.4%

Length

2024-04-18T16:22:24.528868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:22:24.631871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 128
51.4%
1 71
28.5%
3 49
 
19.7%
24 1
 
0.4%

상세영업상태명
Categorical

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
영업중
128 
정상
71 
폐업
49 
직권폐업
 
1

Length

Max length4
Median length3
Mean length2.5220884
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 128
51.4%
정상 71
28.5%
폐업 49
 
19.7%
직권폐업 1
 
0.4%

Length

2024-04-18T16:22:24.781199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:22:24.919963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 128
51.4%
정상 71
28.5%
폐업 49
 
19.7%
직권폐업 1
 
0.4%

폐업일자
Real number (ℝ)

MISSING 

Distinct48
Distinct (%)96.0%
Missing199
Missing (%)79.9%
Infinite0
Infinite (%)0.0%
Mean20153480
Minimum20090731
Maximum20200731
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-18T16:22:25.086703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090731
5-th percentile20110807
Q120140142
median20151118
Q320178032
95-th percentile20190910
Maximum20200731
Range110000
Interquartile range (IQR)37890.25

Descriptive statistics

Standard deviation27906.217
Coefficient of variation (CV)0.0013846848
Kurtosis-0.71340963
Mean20153480
Median Absolute Deviation (MAD)19793
Skewness-0.21811828
Sum1.007674 × 109
Variance7.7875695 × 108
MonotonicityNot monotonic
2024-04-18T16:22:25.257468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
20110916 2
 
0.8%
20111006 2
 
0.8%
20150106 1
 
0.4%
20131022 1
 
0.4%
20140212 1
 
0.4%
20110331 1
 
0.4%
20180402 1
 
0.4%
20151117 1
 
0.4%
20140207 1
 
0.4%
20140808 1
 
0.4%
Other values (38) 38
 
15.3%
(Missing) 199
79.9%
ValueCountFrequency (%)
20090731 1
0.4%
20110331 1
0.4%
20110718 1
0.4%
20110916 2
0.8%
20110926 1
0.4%
20111006 2
0.8%
20120319 1
0.4%
20131022 1
0.4%
20131231 1
0.4%
20140103 1
0.4%
ValueCountFrequency (%)
20200731 1
0.4%
20200710 1
0.4%
20190916 1
0.4%
20190903 1
0.4%
20190703 1
0.4%
20190610 1
0.4%
20190530 1
0.4%
20190329 1
0.4%
20181127 1
0.4%
20181116 1
0.4%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing249
Missing (%)100.0%
Memory size2.3 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing249
Missing (%)100.0%
Memory size2.3 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing249
Missing (%)100.0%
Memory size2.3 KiB

소재지전화
Text

MISSING 

Distinct214
Distinct (%)97.3%
Missing29
Missing (%)11.6%
Memory size2.1 KiB
2024-04-18T16:22:25.500014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.490909
Min length7

Characters and Unicode

Total characters2308
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique210 ?
Unique (%)95.5%

Sample

1st row421-6300
2nd row053-256-9933
3rd row053-422-5301
4th row053-253-0661
5th row422-0302
ValueCountFrequency (%)
053-525-0999 4
 
1.8%
053-763-0953 2
 
0.9%
0534225301 2
 
0.9%
053-582-9486 2
 
0.9%
053-587-0030 1
 
0.5%
0537456841 1
 
0.5%
053-255-8166 1
 
0.5%
0534218452 1
 
0.5%
0537445030 1
 
0.5%
053-656-5061 1
 
0.5%
Other values (204) 204
92.7%
2024-04-18T16:22:25.859144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 429
18.6%
0 331
14.3%
3 303
13.1%
- 242
10.5%
2 175
7.6%
7 170
 
7.4%
6 142
 
6.2%
4 141
 
6.1%
8 132
 
5.7%
1 123
 
5.3%
Other values (2) 120
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2064
89.4%
Dash Punctuation 242
 
10.5%
Close Punctuation 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 429
20.8%
0 331
16.0%
3 303
14.7%
2 175
8.5%
7 170
 
8.2%
6 142
 
6.9%
4 141
 
6.8%
8 132
 
6.4%
1 123
 
6.0%
9 118
 
5.7%
Dash Punctuation
ValueCountFrequency (%)
- 242
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2308
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 429
18.6%
0 331
14.3%
3 303
13.1%
- 242
10.5%
2 175
7.6%
7 170
 
7.4%
6 142
 
6.2%
4 141
 
6.1%
8 132
 
5.7%
1 123
 
5.3%
Other values (2) 120
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2308
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 429
18.6%
0 331
14.3%
3 303
13.1%
- 242
10.5%
2 175
7.6%
7 170
 
7.4%
6 142
 
6.2%
4 141
 
6.1%
8 132
 
5.7%
1 123
 
5.3%
Other values (2) 120
 
5.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing249
Missing (%)100.0%
Memory size2.3 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct90
Distinct (%)90.0%
Missing149
Missing (%)59.8%
Infinite0
Infinite (%)0.0%
Mean696972.23
Minimum43003
Maximum711838
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-18T16:22:25.990434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum43003
5-th percentile700306
Q1701831
median702993
Q3704954
95-th percentile706820.7
Maximum711838
Range668835
Interquartile range (IQR)3123

Descriptive statistics

Standard deviation66099.025
Coefficient of variation (CV)0.094837386
Kurtosis99.741274
Mean696972.23
Median Absolute Deviation (MAD)1833
Skewness-9.9807439
Sum69697223
Variance4.369081 × 109
MonotonicityNot monotonic
2024-04-18T16:22:26.106993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
700845 2
 
0.8%
705802 2
 
0.8%
705826 2
 
0.8%
703801 2
 
0.8%
706834 2
 
0.8%
701840 2
 
0.8%
701824 2
 
0.8%
706220 2
 
0.8%
706820 2
 
0.8%
704826 2
 
0.8%
Other values (80) 80
32.1%
(Missing) 149
59.8%
ValueCountFrequency (%)
43003 1
0.4%
700020 1
0.4%
700030 1
0.4%
700111 1
0.4%
700230 1
0.4%
700310 1
0.4%
700413 1
0.4%
700430 1
0.4%
700444 1
0.4%
700809 1
0.4%
ValueCountFrequency (%)
711838 1
0.4%
711815 1
0.4%
706851 1
0.4%
706834 2
0.8%
706820 2
0.8%
706810 1
0.4%
706806 1
0.4%
706804 1
0.4%
706220 2
0.8%
706041 1
0.4%

소재지전체주소
Text

MISSING 

Distinct230
Distinct (%)97.9%
Missing14
Missing (%)5.6%
Memory size2.1 KiB
2024-04-18T16:22:26.451221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length33
Mean length23.608511
Min length17

Characters and Unicode

Total characters5548
Distinct characters122
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique225 ?
Unique (%)95.7%

Sample

1st row대구광역시 중구 동인동4가 386번지 7호 강남빌딩
2nd row대구광역시 중구 태평로1가 1번지 187호
3rd row대구광역시 중구 삼덕동2가 267번지 6호
4th row대구광역시 중구 남산동 2267번지 1호
5th row대구광역시 중구 봉산동 159번지 3호
ValueCountFrequency (%)
대구광역시 235
 
19.4%
북구 42
 
3.5%
중구 38
 
3.1%
동구 38
 
3.1%
달서구 36
 
3.0%
수성구 29
 
2.4%
1호 27
 
2.2%
남구 27
 
2.2%
1층 23
 
1.9%
2호 22
 
1.8%
Other values (335) 695
57.3%
2024-04-18T16:22:26.910420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1123
20.2%
구 469
 
8.5%
1 287
 
5.2%
동 284
 
5.1%
대 259
 
4.7%
시 238
 
4.3%
지 238
 
4.3%
광 236
 
4.3%
역 235
 
4.2%
번 233
 
4.2%
Other values (112) 1946
35.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3241
58.4%
Decimal Number 1161
 
20.9%
Space Separator 1123
 
20.2%
Open Punctuation 7
 
0.1%
Close Punctuation 7
 
0.1%
Other Punctuation 7
 
0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 469
14.5%
동 284
 
8.8%
대 259
 
8.0%
시 238
 
7.3%
지 238
 
7.3%
광 236
 
7.3%
역 235
 
7.3%
번 233
 
7.2%
호 216
 
6.7%
서 61
 
1.9%
Other values (96) 772
23.8%
Decimal Number
ValueCountFrequency (%)
1 287
24.7%
2 172
14.8%
3 117
10.1%
7 109
 
9.4%
4 96
 
8.3%
6 90
 
7.8%
0 81
 
7.0%
5 78
 
6.7%
8 71
 
6.1%
9 60
 
5.2%
Other Punctuation
ValueCountFrequency (%)
. 5
71.4%
, 2
 
28.6%
Space Separator
ValueCountFrequency (%)
1123
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3241
58.4%
Common 2307
41.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 469
14.5%
동 284
 
8.8%
대 259
 
8.0%
시 238
 
7.3%
지 238
 
7.3%
광 236
 
7.3%
역 235
 
7.3%
번 233
 
7.2%
호 216
 
6.7%
서 61
 
1.9%
Other values (96) 772
23.8%
Common
ValueCountFrequency (%)
1123
48.7%
1 287
 
12.4%
2 172
 
7.5%
3 117
 
5.1%
7 109
 
4.7%
4 96
 
4.2%
6 90
 
3.9%
0 81
 
3.5%
5 78
 
3.4%
8 71
 
3.1%
Other values (6) 83
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3241
58.4%
ASCII 2307
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1123
48.7%
1 287
 
12.4%
2 172
 
7.5%
3 117
 
5.1%
7 109
 
4.7%
4 96
 
4.2%
6 90
 
3.9%
0 81
 
3.5%
5 78
 
3.4%
8 71
 
3.1%
Other values (6) 83
 
3.6%
Hangul
ValueCountFrequency (%)
구 469
14.5%
동 284
 
8.8%
대 259
 
8.0%
시 238
 
7.3%
지 238
 
7.3%
광 236
 
7.3%
역 235
 
7.3%
번 233
 
7.2%
호 216
 
6.7%
서 61
 
1.9%
Other values (96) 772
23.8%

도로명전체주소
Text

Distinct217
Distinct (%)87.5%
Missing1
Missing (%)0.4%
Memory size2.1 KiB
2024-04-18T16:22:27.233389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length42
Mean length28.137097
Min length20

Characters and Unicode

Total characters6978
Distinct characters188
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique187 ?
Unique (%)75.4%

Sample

1st row대구광역시 중구 국채보상로 726, 강남빌딩 2층 272호 (동인동4가)
2nd row대구광역시 중구 태평로 177 (태평로1가)
3rd row대구광역시 중구 국채보상로 474, 2층 (동산동)
4th row대구광역시 중구 달구벌대로 2068, 1층 (남산동)
5th row대구광역시 중구 경상감영길 27-18 (서내동)
ValueCountFrequency (%)
대구광역시 248
 
17.8%
북구 43
 
3.1%
중구 43
 
3.1%
동구 42
 
3.0%
1층 37
 
2.7%
달서구 37
 
2.7%
수성구 31
 
2.2%
남구 27
 
1.9%
층 22
 
1.6%
서구 19
 
1.4%
Other values (429) 847
60.7%
2024-04-18T16:22:28.027479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1322
18.9%
구 538
 
7.7%
동 358
 
5.1%
대 332
 
4.8%
시 256
 
3.7%
광 250
 
3.6%
( 248
 
3.6%
역 248
 
3.6%
) 248
 
3.6%
로 241
 
3.5%
Other values (178) 2937
42.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3883
55.6%
Space Separator 1322
 
18.9%
Decimal Number 1072
 
15.4%
Open Punctuation 248
 
3.6%
Close Punctuation 248
 
3.6%
Other Punctuation 144
 
2.1%
Dash Punctuation 60
 
0.9%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 538
 
13.9%
동 358
 
9.2%
대 332
 
8.6%
시 256
 
6.6%
광 250
 
6.4%
역 248
 
6.4%
로 241
 
6.2%
길 108
 
2.8%
층 104
 
2.7%
서 78
 
2.0%
Other values (161) 1370
35.3%
Decimal Number
ValueCountFrequency (%)
1 240
22.4%
2 185
17.3%
3 115
10.7%
4 113
10.5%
5 92
 
8.6%
6 83
 
7.7%
0 71
 
6.6%
8 63
 
5.9%
7 57
 
5.3%
9 53
 
4.9%
Other Punctuation
ValueCountFrequency (%)
, 143
99.3%
. 1
 
0.7%
Space Separator
ValueCountFrequency (%)
1322
100.0%
Open Punctuation
ValueCountFrequency (%)
( 248
100.0%
Close Punctuation
ValueCountFrequency (%)
) 248
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3883
55.6%
Common 3094
44.3%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 538
 
13.9%
동 358
 
9.2%
대 332
 
8.6%
시 256
 
6.6%
광 250
 
6.4%
역 248
 
6.4%
로 241
 
6.2%
길 108
 
2.8%
층 104
 
2.7%
서 78
 
2.0%
Other values (161) 1370
35.3%
Common
ValueCountFrequency (%)
1322
42.7%
( 248
 
8.0%
) 248
 
8.0%
1 240
 
7.8%
2 185
 
6.0%
, 143
 
4.6%
3 115
 
3.7%
4 113
 
3.7%
5 92
 
3.0%
6 83
 
2.7%
Other values (6) 305
 
9.9%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3883
55.6%
ASCII 3095
44.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1322
42.7%
( 248
 
8.0%
) 248
 
8.0%
1 240
 
7.8%
2 185
 
6.0%
, 143
 
4.6%
3 115
 
3.7%
4 113
 
3.7%
5 92
 
3.0%
6 83
 
2.7%
Other values (7) 306
 
9.9%
Hangul
ValueCountFrequency (%)
구 538
 
13.9%
동 358
 
9.2%
대 332
 
8.6%
시 256
 
6.6%
광 250
 
6.4%
역 248
 
6.4%
로 241
 
6.2%
길 108
 
2.8%
층 104
 
2.7%
서 78
 
2.0%
Other values (161) 1370
35.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct128
Distinct (%)85.9%
Missing100
Missing (%)40.2%
Infinite0
Infinite (%)0.0%
Mean90799.987
Minimum41068
Maximum706012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-18T16:22:28.162863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41068
5-th percentile41128
Q141468
median41951
Q342638
95-th percentile702873.6
Maximum706012
Range664944
Interquartile range (IQR)1170

Descriptive statistics

Standard deviation173667.65
Coefficient of variation (CV)1.9126396
Kurtosis8.9631387
Mean90799.987
Median Absolute Deviation (MAD)536
Skewness3.2928377
Sum13529198
Variance3.0160454 × 1010
MonotonicityNot monotonic
2024-04-18T16:22:28.316208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41966 3
 
1.2%
42503 3
 
1.2%
42815 3
 
1.2%
41474 3
 
1.2%
41468 2
 
0.8%
41931 2
 
0.8%
42480 2
 
0.8%
41424 2
 
0.8%
41540 2
 
0.8%
41472 2
 
0.8%
Other values (118) 125
50.2%
(Missing) 100
40.2%
ValueCountFrequency (%)
41068 1
0.4%
41087 2
0.8%
41106 1
0.4%
41108 1
0.4%
41118 1
0.4%
41119 1
0.4%
41122 1
0.4%
41137 1
0.4%
41161 1
0.4%
41169 1
0.4%
ValueCountFrequency (%)
706012 1
0.4%
705802 1
0.4%
704905 1
0.4%
704801 1
0.4%
703821 1
0.4%
703806 1
0.4%
703801 1
0.4%
702886 1
0.4%
702855 1
0.4%
701849 1
0.4%

사업장명
Text

Distinct178
Distinct (%)71.5%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-04-18T16:22:28.549774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length20
Mean length7.6104418
Min length2

Characters and Unicode

Total characters1895
Distinct characters224
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique114 ?
Unique (%)45.8%

Sample

1st row프로메디칼
2nd row진양교역
3rd row시그니아독일보청기대구중구(동산보청기)
4th row웨이브히어링 대구복음센터
5th row영남메디칼
ValueCountFrequency (%)
주식회사 7
 
2.5%
소노베스트 4
 
1.4%
엘지전자(주 4
 
1.4%
지오메디텍 4
 
1.4%
대구서비스 3
 
1.1%
주)대세엠케어 3
 
1.1%
성호의료기상사 3
 
1.1%
웰페어숍 3
 
1.1%
영남메디칼 3
 
1.1%
서비스월드 2
 
0.7%
Other values (187) 246
87.2%
2024-04-18T16:22:28.906303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 82
 
4.3%
메 78
 
4.1%
디 76
 
4.0%
) 76
 
4.0%
( 75
 
4.0%
스 71
 
3.7%
대 62
 
3.3%
기 59
 
3.1%
구 52
 
2.7%
칼 50
 
2.6%
Other values (214) 1214
64.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1688
89.1%
Close Punctuation 76
 
4.0%
Open Punctuation 75
 
4.0%
Space Separator 33
 
1.7%
Uppercase Letter 13
 
0.7%
Lowercase Letter 7
 
0.4%
Other Punctuation 2
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 82
 
4.9%
메 78
 
4.6%
디 76
 
4.5%
스 71
 
4.2%
대 62
 
3.7%
기 59
 
3.5%
구 52
 
3.1%
칼 50
 
3.0%
이 36
 
2.1%
의 35
 
2.1%
Other values (193) 1087
64.4%
Uppercase Letter
ValueCountFrequency (%)
S 5
38.5%
A 2
 
15.4%
C 1
 
7.7%
L 1
 
7.7%
Y 1
 
7.7%
K 1
 
7.7%
J 1
 
7.7%
G 1
 
7.7%
Lowercase Letter
ValueCountFrequency (%)
i 1
14.3%
m 1
14.3%
e 1
14.3%
d 1
14.3%
c 1
14.3%
a 1
14.3%
l 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
/ 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 76
100.0%
Open Punctuation
ValueCountFrequency (%)
( 75
100.0%
Space Separator
ValueCountFrequency (%)
33
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1688
89.1%
Common 187
 
9.9%
Latin 20
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 82
 
4.9%
메 78
 
4.6%
디 76
 
4.5%
스 71
 
4.2%
대 62
 
3.7%
기 59
 
3.5%
구 52
 
3.1%
칼 50
 
3.0%
이 36
 
2.1%
의 35
 
2.1%
Other values (193) 1087
64.4%
Latin
ValueCountFrequency (%)
S 5
25.0%
A 2
 
10.0%
C 1
 
5.0%
L 1
 
5.0%
Y 1
 
5.0%
K 1
 
5.0%
i 1
 
5.0%
J 1
 
5.0%
m 1
 
5.0%
e 1
 
5.0%
Other values (5) 5
25.0%
Common
ValueCountFrequency (%)
) 76
40.6%
( 75
40.1%
33
17.6%
, 1
 
0.5%
/ 1
 
0.5%
- 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1688
89.1%
ASCII 207
 
10.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 82
 
4.9%
메 78
 
4.6%
디 76
 
4.5%
스 71
 
4.2%
대 62
 
3.7%
기 59
 
3.5%
구 52
 
3.1%
칼 50
 
3.0%
이 36
 
2.1%
의 35
 
2.1%
Other values (193) 1087
64.4%
ASCII
ValueCountFrequency (%)
) 76
36.7%
( 75
36.2%
33
15.9%
S 5
 
2.4%
A 2
 
1.0%
C 1
 
0.5%
L 1
 
0.5%
Y 1
 
0.5%
K 1
 
0.5%
i 1
 
0.5%
Other values (11) 11
 
5.3%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct249
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.014989 × 1013
Minimum2.0110402 × 1013
Maximum2.0200821 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-18T16:22:29.094795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0110402 × 1013
5-th percentile2.0110923 × 1013
Q12.013123 × 1013
median2.0140716 × 1013
Q32.0171129 × 1013
95-th percentile2.0191217 × 1013
Maximum2.0200821 × 1013
Range9.0418949 × 1010
Interquartile range (IQR)3.9898977 × 1010

Descriptive statistics

Standard deviation2.7512761 × 1010
Coefficient of variation (CV)0.001365405
Kurtosis-1.1365025
Mean2.014989 × 1013
Median Absolute Deviation (MAD)1.9990002 × 1010
Skewness0.36885183
Sum5.0173226 × 1015
Variance7.5695203 × 1020
MonotonicityNot monotonic
2024-04-18T16:22:29.235733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200518183050 1
 
0.4%
20150924130839 1
 
0.4%
20150923114130 1
 
0.4%
20110726092423 1
 
0.4%
20171101134331 1
 
0.4%
20151106174653 1
 
0.4%
20181204110605 1
 
0.4%
20190313090729 1
 
0.4%
20190131140640 1
 
0.4%
20190415175618 1
 
0.4%
Other values (239) 239
96.0%
ValueCountFrequency (%)
20110402143152 1
0.4%
20110419150539 1
0.4%
20110518093856 1
0.4%
20110518112517 1
0.4%
20110518113121 1
0.4%
20110623135837 1
0.4%
20110719094907 1
0.4%
20110726092423 1
0.4%
20110823135355 1
0.4%
20110902174522 1
0.4%
ValueCountFrequency (%)
20200821091941 1
0.4%
20200820144154 1
0.4%
20200730133623 1
0.4%
20200720095856 1
0.4%
20200713134456 1
0.4%
20200710163614 1
0.4%
20200701171523 1
0.4%
20200518183050 1
0.4%
20200413170516 1
0.4%
20200408180131 1
0.4%

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
I
223 
U
26 

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 223
89.6%
U 26
 
10.4%

Length

2024-04-18T16:22:29.374036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:22:29.488191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 223
89.6%
u 26
 
10.4%

데이터갱신일자
Categorical

IMBALANCE 

Distinct50
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2018-10-11 15:46:28.0
129 
2018-08-31 23:59:59.0
71 
2019-09-25 02:40:00.0
 
2
2019-09-05 02:40:00.0
 
1
2019-10-18 02:40:00.0
 
1
Other values (45)
45 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique47 ?
Unique (%)18.9%

Sample

1st row2020-05-20 00:23:34.0
2nd row2018-10-11 15:46:28.0
3rd row2020-07-03 02:40:00.0
4th row2018-10-11 15:46:28.0
5th row2018-10-11 15:46:28.0

Common Values

ValueCountFrequency (%)
2018-10-11 15:46:28.0 129
51.8%
2018-08-31 23:59:59.0 71
28.5%
2019-09-25 02:40:00.0 2
 
0.8%
2019-09-05 02:40:00.0 1
 
0.4%
2019-10-18 02:40:00.0 1
 
0.4%
2020-07-03 02:40:00.0 1
 
0.4%
2018-11-14 02:35:50.0 1
 
0.4%
2019-07-26 02:21:45.0 1
 
0.4%
2018-11-29 02:40:00.0 1
 
0.4%
2020-08-23 02:40:00.0 1
 
0.4%
Other values (40) 40
 
16.1%

Length

2024-04-18T16:22:29.599957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-10-11 129
25.9%
15:46:28.0 129
25.9%
2018-08-31 71
14.3%
23:59:59.0 71
14.3%
02:40:00.0 24
 
4.8%
2019-09-25 2
 
0.4%
2019-09-22 1
 
0.2%
00:23:43.0 1
 
0.2%
2020-02-25 1
 
0.2%
00:23:18.0 1
 
0.2%
Other values (68) 68
13.7%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing249
Missing (%)100.0%
Memory size2.3 KiB

좌표정보(X)
Real number (ℝ)

Distinct182
Distinct (%)73.7%
Missing2
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean343866.71
Minimum330160.78
Maximum355807
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-18T16:22:29.731723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum330160.78
5-th percentile336220.53
Q1341248.08
median343888.64
Q3346594.64
95-th percentile352964.5
Maximum355807
Range25646.217
Interquartile range (IQR)5346.5577

Descriptive statistics

Standard deviation4382.705
Coefficient of variation (CV)0.01274536
Kurtosis1.2041755
Mean343866.71
Median Absolute Deviation (MAD)2705.9941
Skewness0.09425439
Sum84935078
Variance19208103
MonotonicityNot monotonic
2024-04-18T16:22:29.872189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
346594.63507 3
 
1.2%
336220.533 3
 
1.2%
344812.630969 3
 
1.2%
346984.268418 3
 
1.2%
341098.704747 2
 
0.8%
344710.08832 2
 
0.8%
343350.170921 2
 
0.8%
339238.297201 2
 
0.8%
342952.213514 2
 
0.8%
344204.522469 2
 
0.8%
Other values (172) 223
89.6%
ValueCountFrequency (%)
330160.782888 1
 
0.4%
330234.397171 1
 
0.4%
331075.882078 1
 
0.4%
332301.096062 1
 
0.4%
334458.087365 1
 
0.4%
335252.017046 2
0.8%
335261.521283 2
0.8%
336001.233009 2
0.8%
336220.533 3
1.2%
336744.599379 1
 
0.4%
ValueCountFrequency (%)
355807.0 1
0.4%
355738.134502 2
0.8%
355544.978296 2
0.8%
354843.399478 1
0.4%
353650.283854 1
0.4%
353486.245693 1
0.4%
353309.0 1
0.4%
353086.896927 1
0.4%
353074.438178 1
0.4%
352977.734135 1
0.4%

좌표정보(Y)
Real number (ℝ)

Distinct182
Distinct (%)73.7%
Missing2
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean264070.1
Minimum244792.38
Maximum273573.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-18T16:22:30.001551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum244792.38
5-th percentile259471.79
Q1262203.79
median264055.1
Q3265415.89
95-th percentile271678.28
Maximum273573.03
Range28780.655
Interquartile range (IQR)3212.1016

Descriptive statistics

Standard deviation3721.1038
Coefficient of variation (CV)0.014091348
Kurtosis5.8456516
Mean264070.1
Median Absolute Deviation (MAD)1632.5259
Skewness-0.6794904
Sum65225316
Variance13846614
MonotonicityNot monotonic
2024-04-18T16:22:30.133827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264578.070096 3
 
1.2%
262252.380142 3
 
1.2%
260181.383594 3
 
1.2%
265282.301233 3
 
1.2%
263404.551648 2
 
0.8%
261354.315195 2
 
0.8%
267944.353451 2
 
0.8%
269263.562366 2
 
0.8%
266205.642319 2
 
0.8%
265028.313376 2
 
0.8%
Other values (172) 223
89.6%
ValueCountFrequency (%)
244792.376265 1
0.4%
246499.915623 1
0.4%
248043.862841 1
0.4%
257212.639239 2
0.8%
257626.501858 2
0.8%
257804.640314 1
0.4%
258442.326482 1
0.4%
259322.812929 1
0.4%
259324.978119 1
0.4%
259393.072689 2
0.8%
ValueCountFrequency (%)
273573.031508 1
0.4%
273320.930653 1
0.4%
273009.791743 1
0.4%
272982.687048 1
0.4%
272765.392667 2
0.8%
272606.878011 2
0.8%
272601.210104 2
0.8%
272500.618652 1
0.4%
271792.976432 2
0.8%
271410.668792 1
0.4%

수리대상 의료기기의 유형
Text

MISSING 

Distinct40
Distinct (%)56.3%
Missing178
Missing (%)71.5%
Memory size2.1 KiB
2024-04-18T16:22:30.328192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length41
Mean length14.380282
Min length1

Characters and Unicode

Total characters1021
Distinct characters69
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)45.1%

Sample

1st row환자운반차
2nd row일반기기, 환자운반차
3rd row생체현상측정기기
4th row의료용물질생성기
5th row진료대,환자운반차
ValueCountFrequency (%)
환자운반차 20
17.1%
12
 
10.3%
일반기기 8
 
6.8%
생체현상측정기기 7
 
6.0%
의료용물질생성기 7
 
6.0%
보청기 6
 
5.1%
진료대 5
 
4.3%
정형용기기 5
 
4.3%
이학진료용기기 4
 
3.4%
판금물 3
 
2.6%
Other values (32) 40
34.2%
2024-04-18T16:22:30.655016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 160
 
15.7%
, 100
 
9.8%
용 57
 
5.6%
료 47
 
4.6%
46
 
4.5%
반 42
 
4.1%
진 31
 
3.0%
자 26
 
2.5%
환 25
 
2.4%
차 25
 
2.4%
Other values (59) 462
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 866
84.8%
Other Punctuation 100
 
9.8%
Space Separator 46
 
4.5%
Dash Punctuation 9
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 160
 
18.5%
용 57
 
6.6%
료 47
 
5.4%
반 42
 
4.8%
진 31
 
3.6%
자 26
 
3.0%
환 25
 
2.9%
차 25
 
2.9%
운 25
 
2.9%
정 23
 
2.7%
Other values (56) 405
46.8%
Other Punctuation
ValueCountFrequency (%)
, 100
100.0%
Space Separator
ValueCountFrequency (%)
46
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 866
84.8%
Common 155
 
15.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 160
 
18.5%
용 57
 
6.6%
료 47
 
5.4%
반 42
 
4.8%
진 31
 
3.6%
자 26
 
3.0%
환 25
 
2.9%
차 25
 
2.9%
운 25
 
2.9%
정 23
 
2.7%
Other values (56) 405
46.8%
Common
ValueCountFrequency (%)
, 100
64.5%
46
29.7%
- 9
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 866
84.8%
ASCII 155
 
15.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 160
 
18.5%
용 57
 
6.6%
료 47
 
5.4%
반 42
 
4.8%
진 31
 
3.6%
자 26
 
3.0%
환 25
 
2.9%
차 25
 
2.9%
운 25
 
2.9%
정 23
 
2.7%
Other values (56) 405
46.8%
ASCII
ValueCountFrequency (%)
, 100
64.5%
46
29.7%
- 9
 
5.8%

다른 겸업 여부
Boolean

MISSING 

Distinct2
Distinct (%)2.8%
Missing178
Missing (%)71.5%
Memory size630.0 B
True
56 
False
 
15
(Missing)
178 
ValueCountFrequency (%)
True 56
 
22.5%
False 15
 
6.0%
(Missing) 178
71.5%
2024-04-18T16:22:30.765880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

총규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing249
Missing (%)100.0%
Memory size2.3 KiB

영업규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing249
Missing (%)100.0%
Memory size2.3 KiB

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)수리대상 의료기기의 유형다른 겸업 여부총규모영업규모
01의료기기수리업01_02_02_P3410000PHMG32020341002304740000220200514202005181영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 동인동4가 386번지 7호 강남빌딩대구광역시 중구 국채보상로 726, 강남빌딩 2층 272호 (동인동4가)41946프로메디칼20200518183050I2020-05-20 00:23:34.0<NA>345323.318065264335.308575<NA><NA><NA><NA>
12의료기기수리업01_02_02_P3410000PHMG32008341002304740000120080508201108233폐업3폐업20110718<NA><NA><NA>421-6300<NA>700111대구광역시 중구 태평로1가 1번지 187호대구광역시 중구 태평로 177 (태평로1가)<NA>진양교역20110823135355I2018-10-11 15:46:28.0<NA>344204.522469265028.313376<NA><NA><NA><NA>
23의료기기수리업01_02_02_P3410000PHMG32016341002304740000320160725202007011영업/정상13영업중<NA><NA><NA><NA>053-256-9933<NA><NA><NA>대구광역시 중구 국채보상로 474, 2층 (동산동)41931시그니아독일보청기대구중구(동산보청기)20200701171523U2020-07-03 02:40:00.0<NA>342851.643947264503.025636<NA><NA><NA><NA>
34의료기기수리업01_02_02_P3410000PHMG32016341002304740000220160419201709111영업/정상13영업중<NA><NA><NA><NA>053-422-5301<NA><NA><NA>대구광역시 중구 달구벌대로 2068, 1층 (남산동)41966웨이브히어링 대구복음센터20170911194411I2018-10-11 15:46:28.0<NA>343529.780565263996.311879<NA><NA><NA><NA>
45의료기기수리업01_02_02_P3410000PHMG32016341002304740000120160314201603171영업/정상13영업중<NA><NA><NA><NA>053-253-0661<NA><NA><NA>대구광역시 중구 경상감영길 27-18 (서내동)41919영남메디칼20160317113252I2018-10-11 15:46:28.0<NA>343431.511613264702.368714<NA><NA><NA><NA>
56의료기기수리업01_02_02_P3410000PHMG32015341002304740000220150804201508051영업/정상13영업중<NA><NA><NA><NA>422-0302<NA><NA>대구광역시 중구 삼덕동2가 267번지 6호대구광역시 중구 동덕로 108 (삼덕동2가)41948대구보조기20150805093609I2018-10-11 15:46:28.0<NA>344720.408953263855.695483<NA><NA><NA><NA>
67의료기기수리업01_02_02_P3410000PHMG32015341002304740000120150223201509021영업/정상13영업중<NA><NA><NA><NA>710-0130<NA>700444대구광역시 중구 남산동 2267번지 1호대구광역시 중구 명덕로 101, 3층 (남산동)41977올림푸스한국(주) 대구사무소20150902092448I2018-10-11 15:46:28.0<NA>342797.950703263050.72795<NA><NA><NA><NA>
78의료기기수리업01_02_02_P3410000PHMG32014341002304740000220140311201502101영업/정상13영업중<NA><NA><NA><NA>053-422-1114<NA>700823대구광역시 중구 봉산동 159번지 3호대구광역시 중구 달구벌대로 2140 (봉산동)41959(주)더존보청기20150210101038I2018-10-11 15:46:28.0<NA>344202.073472263876.746099<NA><NA><NA><NA>
89의료기기수리업01_02_02_P3410000PHMG32014341002304740000120140103201601141영업/정상13영업중<NA><NA><NA><NA>053-253-5885<NA><NA><NA>대구광역시 중구 국채보상로151길 85, 1층 (동인동3가)41906장수메디칼20160114144546I2018-10-11 15:46:28.0<NA>345461.148054264752.091029<NA><NA><NA><NA>
910의료기기수리업01_02_02_P3410000PHMG32013341002304740000320130726201307311영업/정상13영업중<NA><NA><NA><NA><NA><NA>700020대구광역시 중구 향촌동 74번지 3호대구광역시 중구 중앙대로 439 (향촌동)<NA>한국보청기20130731114410I2018-10-11 15:46:28.0<NA>343888.640972264750.059277<NA><NA><NA><NA>
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)수리대상 의료기기의 유형다른 겸업 여부총규모영업규모
239240의료기기수리업01_02_02_P627000020116270000600006320100927<NA>1영업/정상1정상<NA><NA><NA><NA>0535815114<NA><NA>대구광역시 남구 대명동 1225번지 12호대구광역시 남구 성당로 32, 1 층 (대명동)<NA>랜드렉스대구지사20131230094239I2018-08-31 23:59:59.0<NA>340869.089047261143.82269환자운반차Y<NA><NA>
240241의료기기수리업01_02_02_P627000020116270000600006220100812<NA>1영업/정상1정상<NA><NA><NA><NA>0536549352<NA><NA>대구광역시 달서구 송현동 1914번지 3호대구광역시 달서구 월배로 325 (송현동)<NA>신화헬스앤드의료기20131230113733I2018-08-31 23:59:59.0<NA>339638.085226259393.072689진료대, 환자운반차Y<NA><NA>
241242의료기기수리업01_02_02_P627000020116270000600006120100609<NA>1영업/정상1정상<NA><NA><NA><NA>0535875838<NA><NA>대구광역시 달서구 신당동 1677번지 10호대구광역시 달서구 선원로 53-1 (신당동)<NA>라인메디칼20131230113814I2018-08-31 23:59:59.0<NA>335261.521283263158.406087환자운반차Y<NA><NA>
242243의료기기수리업01_02_02_P627000020116270000600006020100322<NA>1영업/정상1정상<NA><NA><NA><NA>0537445030<NA><NA>대구광역시 동구 신천동 123번지 1호대구광역시 동구 장등로 36, 2 층 (신천동,농공빌딩)<NA>우영헬스케어20131230113918I2018-08-31 23:59:59.0<NA>346594.63507264578.070096일반기기, 마취기, 내장기능대용기, 심혈관용기계기구, 생체현상측정기기N<NA><NA>
243244의료기기수리업01_02_02_P627000020116270000600005920091222<NA>1영업/정상1정상<NA><NA><NA><NA>0534218452<NA><NA>대구광역시 중구 대봉동 152번지 24호대구광역시 중구 명덕로55길 25, 102호 (대봉동,화성파크드림상가)<NA>대구서비스20131230114058I2018-08-31 23:59:59.0<NA>344383.924068263004.53479생체현상측정기기, 정형용기기, 일반기기N<NA><NA>
244245의료기기수리업01_02_02_P627000020116270000600004020080422<NA>1영업/정상1정상<NA><NA><NA><NA>0537441119<NA><NA>대구광역시 동구 효목동 367번지 9호대구광역시 동구 효서로 24, 5 층 (효목동,정원빌딩)<NA>메디에이스20131230122332I2018-08-31 23:59:59.0<NA>347901.256109265440.288607생체현상측정기기Y<NA><NA>
245246의료기기수리업01_02_02_P627000020116270000600003920070226<NA>1영업/정상1정상<NA><NA><NA><NA>0533249957<NA><NA>대구광역시 북구 구암동 798번지 3호대구광역시 북구 구암로41길 14-6 (구암동)<NA>엠에스메디캠프20131230122508I2018-08-31 23:59:59.0<NA>341047.896991271410.668792진료대, 일반기기, 판금물, 방사선진료장치,심혈관용기계기구,비뇨기과용기계기구,의료용경,전기수술장치,방사선용품Y<NA><NA>
246247의료기기수리업01_02_02_P627000020116270000600005820091214<NA>1영업/정상1정상<NA><NA><NA><NA>0533544900<NA><NA>대구광역시 북구 침산동 791번지대구광역시 북구 침산로 285 (침산동)<NA>(주)삼창이엔지20131230114347I2018-08-31 23:59:59.0<NA>343350.170921267944.353451판금물N<NA><NA>
247248의료기기수리업01_02_02_P627000020116270000600000720110124<NA>1영업/정상1정상<NA><NA><NA><NA><NA><NA><NA>대구광역시 수성구 만촌동 1007번지 15호대구광역시 수성구 만촌로 44 (만촌동)<NA>어르신이행복한복지센타20131230092418I2018-08-31 23:59:59.0<NA>348468.932338263781.916265환자운반차Y<NA><NA>
248249의료기기수리업01_02_02_P627000020116270000600000620110124<NA>1영업/정상1정상<NA><NA><NA><NA>0537455479<NA><NA>대구광역시 수성구 수성동4가 1172번지 1호 코리아빌딩대구광역시 수성구 신천동로 454, 5 층 (수성동4가,코리아빌딩)<NA>소노베스트20131230092244I2018-08-31 23:59:59.0<NA>345659.925972263842.533658이학진료용기기Y<NA><NA>