Overview

Dataset statistics

Number of variables32
Number of observations279
Missing cells3217
Missing cells (%)36.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory75.1 KiB
Average record size in memory275.5 B

Variable types

Numeric9
Categorical7
Text6
Unsupported8
DateTime1
Boolean1

Dataset

Description22년12월_6270000_대구광역시_01_02_02_P_의료기기수리업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000097476&dataSetDetailId=DDI_0000097522&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
인허가취소일자 has 279 (100.0%) missing valuesMissing
폐업일자 has 223 (79.9%) missing valuesMissing
휴업시작일자 has 279 (100.0%) missing valuesMissing
휴업종료일자 has 279 (100.0%) missing valuesMissing
재개업일자 has 279 (100.0%) missing valuesMissing
소재지전화 has 39 (14.0%) missing valuesMissing
소재지면적 has 279 (100.0%) missing valuesMissing
소재지우편번호 has 184 (65.9%) missing valuesMissing
소재지전체주소 has 19 (6.8%) missing valuesMissing
도로명우편번호 has 99 (35.5%) missing valuesMissing
업태구분명 has 279 (100.0%) missing valuesMissing
수리대상 의료기기의 유형 has 208 (74.6%) missing valuesMissing
다른 겸업 여부 has 208 (74.6%) missing valuesMissing
총규모 has 279 (100.0%) missing valuesMissing
영업규모 has 279 (100.0%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
최종수정시점 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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 started2023-12-10 19:51:03.951513
Analysis finished2023-12-10 19:51:05.078339
Duration1.13 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct279
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean140
Minimum1
Maximum279
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2023-12-11T04:51:05.197638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile14.9
Q170.5
median140
Q3209.5
95-th percentile265.1
Maximum279
Range278
Interquartile range (IQR)139

Descriptive statistics

Standard deviation80.684571
Coefficient of variation (CV)0.57631836
Kurtosis-1.2
Mean140
Median Absolute Deviation (MAD)70
Skewness0
Sum39060
Variance6510
MonotonicityStrictly increasing
2023-12-11T04:51:05.393299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
185 1
 
0.4%
191 1
 
0.4%
190 1
 
0.4%
189 1
 
0.4%
188 1
 
0.4%
187 1
 
0.4%
186 1
 
0.4%
184 1
 
0.4%
193 1
 
0.4%
Other values (269) 269
96.4%
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 (%)
279 1
0.4%
278 1
0.4%
277 1
0.4%
276 1
0.4%
275 1
0.4%
274 1
0.4%
273 1
0.4%
272 1
0.4%
271 1
0.4%
270 1
0.4%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
의료기기수리업
279 

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 279
100.0%

Length

2023-12-11T04:51:05.591146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:51:05.734355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의료기기수리업 279
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
01_02_02_P
279 

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 279
100.0%

Length

2023-12-11T04:51:05.873403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:51:06.005946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01_02_02_p 279
100.0%

개방자치단체코드
Real number (ℝ)

Distinct9
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4161147
Minimum3410000
Maximum6270000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2023-12-11T04:51:06.133329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13425000
median3450000
Q36270000
95-th percentile6270000
Maximum6270000
Range2860000
Interquartile range (IQR)2845000

Descriptive statistics

Standard deviation1234454.8
Coefficient of variation (CV)0.29666214
Kurtosis-0.72109893
Mean4161147
Median Absolute Deviation (MAD)30000
Skewness1.1326321
Sum1.16096 × 109
Variance1.5238785 × 1012
MonotonicityIncreasing
2023-12-11T04:51:06.277251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
6270000 71
25.4%
3420000 37
13.3%
3470000 36
12.9%
3450000 35
12.5%
3410000 33
11.8%
3460000 24
 
8.6%
3440000 22
 
7.9%
3430000 15
 
5.4%
3480000 6
 
2.2%
ValueCountFrequency (%)
3410000 33
11.8%
3420000 37
13.3%
3430000 15
 
5.4%
3440000 22
 
7.9%
3450000 35
12.5%
3460000 24
 
8.6%
3470000 36
12.9%
3480000 6
 
2.2%
6270000 71
25.4%
ValueCountFrequency (%)
6270000 71
25.4%
3480000 6
 
2.2%
3470000 36
12.9%
3460000 24
 
8.6%
3450000 35
12.5%
3440000 22
 
7.9%
3430000 15
 
5.4%
3420000 37
13.3%
3410000 33
11.8%

관리번호
Text

UNIQUE 

Distinct279
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-11T04:51:06.484704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length23.218638
Min length18

Characters and Unicode

Total characters6478
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

Unique279 ?
Unique (%)100.0%

Sample

1st rowPHMG320083410023047400001
2nd rowPHMG320223410023047400001
3rd rowPHMG320093410023047400001
4th rowPHMG320093410023047400002
5th rowPHMG320103410023047400001
ValueCountFrequency (%)
phmg320083410023047400001 1
 
0.4%
phmg320183470022047400002 1
 
0.4%
phmg320113470022047400002 1
 
0.4%
phmg320153470022047400001 1
 
0.4%
phmg320153470022047400002 1
 
0.4%
phmg320213470022047400001 1
 
0.4%
phmg320223470022047400003 1
 
0.4%
phmg320213470022047400002 1
 
0.4%
phmg320193470022047400006 1
 
0.4%
201162700006000008 1
 
0.4%
Other values (269) 269
96.4%
2023-12-11T04:51:06.840734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2388
36.9%
2 794
 
12.3%
4 720
 
11.1%
3 591
 
9.1%
1 465
 
7.2%
7 331
 
5.1%
P 208
 
3.2%
H 208
 
3.2%
M 208
 
3.2%
G 208
 
3.2%
Other values (4) 357
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5646
87.2%
Uppercase Letter 832
 
12.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2388
42.3%
2 794
 
14.1%
4 720
 
12.8%
3 591
 
10.5%
1 465
 
8.2%
7 331
 
5.9%
6 200
 
3.5%
5 79
 
1.4%
9 45
 
0.8%
8 33
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
P 208
25.0%
H 208
25.0%
M 208
25.0%
G 208
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5646
87.2%
Latin 832
 
12.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2388
42.3%
2 794
 
14.1%
4 720
 
12.8%
3 591
 
10.5%
1 465
 
8.2%
7 331
 
5.9%
6 200
 
3.5%
5 79
 
1.4%
9 45
 
0.8%
8 33
 
0.6%
Latin
ValueCountFrequency (%)
P 208
25.0%
H 208
25.0%
M 208
25.0%
G 208
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6478
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2388
36.9%
2 794
 
12.3%
4 720
 
11.1%
3 591
 
9.1%
1 465
 
7.2%
7 331
 
5.1%
P 208
 
3.2%
H 208
 
3.2%
M 208
 
3.2%
G 208
 
3.2%
Other values (4) 357
 
5.5%

인허가일자
Real number (ℝ)

Distinct207
Distinct (%)74.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20121738
Minimum20041004
Maximum20221124
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2023-12-11T04:51:06.997412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20041004
5-th percentile20041207
Q120081071
median20110407
Q320160666
95-th percentile20211024
Maximum20221124
Range180120
Interquartile range (IQR)79594.5

Descriptive statistics

Standard deviation53556.754
Coefficient of variation (CV)0.0026616366
Kurtosis-0.99703309
Mean20121738
Median Absolute Deviation (MAD)40202
Skewness0.26937218
Sum5.6139649 × 109
Variance2.8683259 × 109
MonotonicityNot monotonic
2023-12-11T04:51:07.133401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20081126 9
 
3.2%
20041207 9
 
3.2%
20110121 6
 
2.2%
20110124 6
 
2.2%
20101206 3
 
1.1%
20050614 3
 
1.1%
20050131 2
 
0.7%
20080709 2
 
0.7%
20100930 2
 
0.7%
20100609 2
 
0.7%
Other values (197) 235
84.2%
ValueCountFrequency (%)
20041004 2
 
0.7%
20041104 2
 
0.7%
20041129 2
 
0.7%
20041207 9
3.2%
20041209 2
 
0.7%
20041230 1
 
0.4%
20050131 2
 
0.7%
20050215 2
 
0.7%
20050323 1
 
0.4%
20050502 2
 
0.7%
ValueCountFrequency (%)
20221124 1
0.4%
20221012 1
0.4%
20221007 1
0.4%
20220906 1
0.4%
20220816 1
0.4%
20220630 1
0.4%
20220623 1
0.4%
20220429 1
0.4%
20220421 1
0.4%
20220408 1
0.4%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing279
Missing (%)100.0%
Memory size2.6 KiB

영업상태구분코드
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
1
223 
3
56 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 223
79.9%
3 56
 
20.1%

Length

2023-12-11T04:51:07.258620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:51:07.350230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 223
79.9%
3 56
 
20.1%

영업상태명
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
영업/정상
223 
폐업
56 

Length

Max length5
Median length5
Mean length4.3978495
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 223
79.9%
폐업 56
 
20.1%

Length

2023-12-11T04:51:07.456116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:51:07.557986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 223
79.9%
폐업 56
 
20.1%

상세영업상태코드
Categorical

Distinct4
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
13
152 
1
71 
3
55 
24
 
1

Length

Max length2
Median length2
Mean length1.5483871
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
13 152
54.5%
1 71
25.4%
3 55
 
19.7%
24 1
 
0.4%

Length

2023-12-11T04:51:07.658008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:51:07.774499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 152
54.5%
1 71
25.4%
3 55
 
19.7%
24 1
 
0.4%

상세영업상태명
Categorical

Distinct4
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
영업중
152 
정상
71 
폐업
55 
직권폐업
 
1

Length

Max length4
Median length3
Mean length2.5519713
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 152
54.5%
정상 71
25.4%
폐업 55
 
19.7%
직권폐업 1
 
0.4%

Length

2023-12-11T04:51:07.897928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:51:08.019353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 152
54.5%
정상 71
25.4%
폐업 55
 
19.7%
직권폐업 1
 
0.4%

폐업일자
Real number (ℝ)

MISSING 

Distinct54
Distinct (%)96.4%
Missing223
Missing (%)79.9%
Infinite0
Infinite (%)0.0%
Mean20159627
Minimum20090731
Maximum20221117
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2023-12-11T04:51:08.155542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090731
5-th percentile20110866
Q120140211
median20160262
Q320183428
95-th percentile20210584
Maximum20221117
Range130386
Interquartile range (IQR)43216.75

Descriptive statistics

Standard deviation31957.705
Coefficient of variation (CV)0.001585233
Kurtosis-0.70643859
Mean20159627
Median Absolute Deviation (MAD)20359
Skewness-0.042236706
Sum1.1289391 × 109
Variance1.0212949 × 109
MonotonicityNot monotonic
2023-12-11T04:51:08.363056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20111006 2
 
0.7%
20110916 2
 
0.7%
20190329 1
 
0.4%
20140808 1
 
0.4%
20110331 1
 
0.4%
20140212 1
 
0.4%
20160927 1
 
0.4%
20131022 1
 
0.4%
20181116 1
 
0.4%
20180821 1
 
0.4%
Other values (44) 44
 
15.8%
(Missing) 223
79.9%
ValueCountFrequency (%)
20090731 1
0.4%
20110331 1
0.4%
20110718 1
0.4%
20110916 2
0.7%
20110926 1
0.4%
20111006 2
0.7%
20120319 1
0.4%
20131022 1
0.4%
20131231 1
0.4%
20140103 1
0.4%
ValueCountFrequency (%)
20221117 1
0.4%
20220303 1
0.4%
20210804 1
0.4%
20210511 1
0.4%
20201228 1
0.4%
20201118 1
0.4%
20200731 1
0.4%
20200710 1
0.4%
20190916 1
0.4%
20190903 1
0.4%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing279
Missing (%)100.0%
Memory size2.6 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing279
Missing (%)100.0%
Memory size2.6 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing279
Missing (%)100.0%
Memory size2.6 KiB

소재지전화
Text

MISSING 

Distinct230
Distinct (%)95.8%
Missing39
Missing (%)14.0%
Memory size2.3 KiB
2023-12-11T04:51:08.632384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.620833
Min length7

Characters and Unicode

Total characters2549
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

Unique223 ?
Unique (%)92.9%

Sample

1st row421-6300
2nd row253-0661
3rd row424-1950
4th row0534225301
5th row0532569933
ValueCountFrequency (%)
053-525-0999 4
 
1.7%
053-584-4431 3
 
1.2%
0534225301 2
 
0.8%
053-763-0953 2
 
0.8%
053-952-9570 2
 
0.8%
053-382-3800 2
 
0.8%
053-582-9486 2
 
0.8%
053-654-9352 1
 
0.4%
053-626-8991 1
 
0.4%
053-624-7777 1
 
0.4%
Other values (220) 220
91.7%
2023-12-11T04:51:09.087400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 469
18.4%
0 363
14.2%
3 340
13.3%
- 279
10.9%
2 190
7.5%
7 180
 
7.1%
6 155
 
6.1%
4 154
 
6.0%
8 148
 
5.8%
9 135
 
5.3%
Other values (2) 136
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2268
89.0%
Dash Punctuation 279
 
10.9%
Close Punctuation 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 469
20.7%
0 363
16.0%
3 340
15.0%
2 190
8.4%
7 180
 
7.9%
6 155
 
6.8%
4 154
 
6.8%
8 148
 
6.5%
9 135
 
6.0%
1 134
 
5.9%
Dash Punctuation
ValueCountFrequency (%)
- 279
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2549
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 469
18.4%
0 363
14.2%
3 340
13.3%
- 279
10.9%
2 190
7.5%
7 180
 
7.1%
6 155
 
6.1%
4 154
 
6.0%
8 148
 
5.8%
9 135
 
5.3%
Other values (2) 136
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2549
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 469
18.4%
0 363
14.2%
3 340
13.3%
- 279
10.9%
2 190
7.5%
7 180
 
7.1%
6 155
 
6.1%
4 154
 
6.0%
8 148
 
5.8%
9 135
 
5.3%
Other values (2) 136
 
5.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing279
Missing (%)100.0%
Memory size2.6 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct86
Distinct (%)90.5%
Missing184
Missing (%)65.9%
Infinite0
Infinite (%)0.0%
Mean689727.06
Minimum42687
Maximum711838
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2023-12-11T04:51:09.295480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum42687
5-th percentile700194.3
Q1701833
median703100
Q3704930
95-th percentile706824.2
Maximum711838
Range669151
Interquartile range (IQR)3097

Descriptive statistics

Standard deviation95395.117
Coefficient of variation (CV)0.1383085
Kurtosis44.856101
Mean689727.06
Median Absolute Deviation (MAD)1725
Skewness-6.7736225
Sum65524071
Variance9.1002283 × 109
MonotonicityNot monotonic
2023-12-11T04:51:09.511147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
704826 2
 
0.7%
705802 2
 
0.7%
703801 2
 
0.7%
706820 2
 
0.7%
706834 2
 
0.7%
701840 2
 
0.7%
701824 2
 
0.7%
706220 2
 
0.7%
705826 2
 
0.7%
706806 1
 
0.4%
Other values (76) 76
27.2%
(Missing) 184
65.9%
ValueCountFrequency (%)
42687 1
0.4%
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%
700809 1
0.4%
ValueCountFrequency (%)
711838 1
0.4%
711815 1
0.4%
706851 1
0.4%
706834 2
0.7%
706820 2
0.7%
706810 1
0.4%
706806 1
0.4%
706804 1
0.4%
706220 2
0.7%
706041 1
0.4%

소재지전체주소
Text

MISSING 

Distinct255
Distinct (%)98.1%
Missing19
Missing (%)6.8%
Memory size2.3 KiB
2023-12-11T04:51:10.035566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length33
Mean length23.080769
Min length15

Characters and Unicode

Total characters6001
Distinct characters132
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

Unique250 ?
Unique (%)96.2%

Sample

1st row대구광역시 중구 태평로1가 1번지 187호
2nd row대구광역시 중구 대신동 106-1 2층
3rd row대구광역시 중구 동인동3가 271번지 76호
4th row대구광역시 중구 대봉동 152번지 24호 상가102
5th row대구광역시 중구 동인동4가 415번지 1호
ValueCountFrequency (%)
대구광역시 260
 
19.9%
북구 47
 
3.6%
동구 46
 
3.5%
달서구 40
 
3.1%
중구 38
 
2.9%
수성구 33
 
2.5%
남구 28
 
2.1%
1층 25
 
1.9%
1호 25
 
1.9%
서구 22
 
1.7%
Other values (371) 745
56.9%
2023-12-11T04:51:10.773857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1195
19.9%
구 519
 
8.6%
1 321
 
5.3%
동 317
 
5.3%
대 288
 
4.8%
시 264
 
4.4%
광 261
 
4.3%
역 260
 
4.3%
지 227
 
3.8%
번 220
 
3.7%
Other values (122) 2129
35.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3485
58.1%
Decimal Number 1269
 
21.1%
Space Separator 1195
 
19.9%
Dash Punctuation 31
 
0.5%
Open Punctuation 7
 
0.1%
Close Punctuation 7
 
0.1%
Other Punctuation 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 519
14.9%
동 317
 
9.1%
대 288
 
8.3%
시 264
 
7.6%
광 261
 
7.5%
역 260
 
7.5%
지 227
 
6.5%
번 220
 
6.3%
호 207
 
5.9%
서 69
 
2.0%
Other values (106) 853
24.5%
Decimal Number
ValueCountFrequency (%)
1 321
25.3%
2 181
14.3%
3 122
 
9.6%
7 121
 
9.5%
4 105
 
8.3%
0 93
 
7.3%
6 90
 
7.1%
5 87
 
6.9%
8 81
 
6.4%
9 68
 
5.4%
Other Punctuation
ValueCountFrequency (%)
. 5
71.4%
, 2
 
28.6%
Space Separator
ValueCountFrequency (%)
1195
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3485
58.1%
Common 2516
41.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 519
14.9%
동 317
 
9.1%
대 288
 
8.3%
시 264
 
7.6%
광 261
 
7.5%
역 260
 
7.5%
지 227
 
6.5%
번 220
 
6.3%
호 207
 
5.9%
서 69
 
2.0%
Other values (106) 853
24.5%
Common
ValueCountFrequency (%)
1195
47.5%
1 321
 
12.8%
2 181
 
7.2%
3 122
 
4.8%
7 121
 
4.8%
4 105
 
4.2%
0 93
 
3.7%
6 90
 
3.6%
5 87
 
3.5%
8 81
 
3.2%
Other values (6) 120
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3485
58.1%
ASCII 2516
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1195
47.5%
1 321
 
12.8%
2 181
 
7.2%
3 122
 
4.8%
7 121
 
4.8%
4 105
 
4.2%
0 93
 
3.7%
6 90
 
3.6%
5 87
 
3.5%
8 81
 
3.2%
Other values (6) 120
 
4.8%
Hangul
ValueCountFrequency (%)
구 519
14.9%
동 317
 
9.1%
대 288
 
8.3%
시 264
 
7.6%
광 261
 
7.5%
역 260
 
7.5%
지 227
 
6.5%
번 220
 
6.3%
호 207
 
5.9%
서 69
 
2.0%
Other values (106) 853
24.5%

도로명전체주소
Text

Distinct248
Distinct (%)89.2%
Missing1
Missing (%)0.4%
Memory size2.3 KiB
2023-12-11T04:51:11.251842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length42
Mean length28.446043
Min length20

Characters and Unicode

Total characters7908
Distinct characters206
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

Unique218 ?
Unique (%)78.4%

Sample

1st row대구광역시 중구 태평로 177 (태평로1가)
2nd row대구광역시 중구 국채보상로 467, 2층 (대신동)
3rd row대구광역시 중구 태평로 275-10 (동인동3가)
4th row대구광역시 중구 명덕로55길 25 (대봉동,상가102)
5th row대구광역시 중구 동덕로30길 119-6 (동인동4가)
ValueCountFrequency (%)
대구광역시 278
 
17.5%
1층 53
 
3.3%
동구 49
 
3.1%
북구 48
 
3.0%
중구 46
 
2.9%
달서구 44
 
2.8%
수성구 35
 
2.2%
남구 28
 
1.8%
층 22
 
1.4%
서구 21
 
1.3%
Other values (493) 963
60.7%
2023-12-11T04:51:12.050795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1483
18.8%
구 599
 
7.6%
동 401
 
5.1%
대 370
 
4.7%
시 288
 
3.6%
1 282
 
3.6%
광 280
 
3.5%
역 278
 
3.5%
) 277
 
3.5%
( 277
 
3.5%
Other values (196) 3373
42.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4386
55.5%
Space Separator 1483
 
18.8%
Decimal Number 1236
 
15.6%
Close Punctuation 277
 
3.5%
Open Punctuation 277
 
3.5%
Other Punctuation 180
 
2.3%
Dash Punctuation 63
 
0.8%
Uppercase Letter 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 599
 
13.7%
동 401
 
9.1%
대 370
 
8.4%
시 288
 
6.6%
광 280
 
6.4%
역 278
 
6.3%
로 272
 
6.2%
층 133
 
3.0%
길 120
 
2.7%
서 91
 
2.1%
Other values (173) 1554
35.4%
Decimal Number
ValueCountFrequency (%)
1 282
22.8%
2 218
17.6%
4 127
10.3%
3 126
10.2%
5 105
 
8.5%
6 92
 
7.4%
0 85
 
6.9%
8 73
 
5.9%
7 69
 
5.6%
9 59
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
G 1
16.7%
B 1
16.7%
T 1
16.7%
K 1
16.7%
S 1
16.7%
H 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 178
98.9%
. 1
 
0.6%
& 1
 
0.6%
Space Separator
ValueCountFrequency (%)
1483
100.0%
Close Punctuation
ValueCountFrequency (%)
) 277
100.0%
Open Punctuation
ValueCountFrequency (%)
( 277
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 63
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4386
55.5%
Common 3516
44.5%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 599
 
13.7%
동 401
 
9.1%
대 370
 
8.4%
시 288
 
6.6%
광 280
 
6.4%
역 278
 
6.3%
로 272
 
6.2%
층 133
 
3.0%
길 120
 
2.7%
서 91
 
2.1%
Other values (173) 1554
35.4%
Common
ValueCountFrequency (%)
1483
42.2%
1 282
 
8.0%
) 277
 
7.9%
( 277
 
7.9%
2 218
 
6.2%
, 178
 
5.1%
4 127
 
3.6%
3 126
 
3.6%
5 105
 
3.0%
6 92
 
2.6%
Other values (7) 351
 
10.0%
Latin
ValueCountFrequency (%)
G 1
16.7%
B 1
16.7%
T 1
16.7%
K 1
16.7%
S 1
16.7%
H 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4386
55.5%
ASCII 3522
44.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1483
42.1%
1 282
 
8.0%
) 277
 
7.9%
( 277
 
7.9%
2 218
 
6.2%
, 178
 
5.1%
4 127
 
3.6%
3 126
 
3.6%
5 105
 
3.0%
6 92
 
2.6%
Other values (13) 357
 
10.1%
Hangul
ValueCountFrequency (%)
구 599
 
13.7%
동 401
 
9.1%
대 370
 
8.4%
시 288
 
6.6%
광 280
 
6.4%
역 278
 
6.3%
로 272
 
6.2%
층 133
 
3.0%
길 120
 
2.7%
서 91
 
2.1%
Other values (173) 1554
35.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct149
Distinct (%)82.8%
Missing99
Missing (%)35.5%
Infinite0
Infinite (%)0.0%
Mean82382.25
Minimum41059
Maximum706012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2023-12-11T04:51:12.256567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41059
5-th percentile41117.5
Q141447.25
median41949.5
Q342618.5
95-th percentile701899.3
Maximum706012
Range664953
Interquartile range (IQR)1171.25

Descriptive statistics

Standard deviation158995.85
Coefficient of variation (CV)1.929977
Kurtosis11.786677
Mean82382.25
Median Absolute Deviation (MAD)533
Skewness3.6953388
Sum14828805
Variance2.527968 × 1010
MonotonicityNot monotonic
2023-12-11T04:51:12.453977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42815 3
 
1.1%
41474 3
 
1.1%
41424 3
 
1.1%
41958 3
 
1.1%
41087 3
 
1.1%
41966 3
 
1.1%
42480 2
 
0.7%
41516 2
 
0.7%
42670 2
 
0.7%
41059 2
 
0.7%
Other values (139) 154
55.2%
(Missing) 99
35.5%
ValueCountFrequency (%)
41059 2
0.7%
41066 1
 
0.4%
41068 1
 
0.4%
41087 3
1.1%
41106 1
 
0.4%
41108 1
 
0.4%
41118 2
0.7%
41119 1
 
0.4%
41122 1
 
0.4%
41126 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

Distinct207
Distinct (%)74.2%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-11T04:51:12.757473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length20
Mean length7.7060932
Min length2

Characters and Unicode

Total characters2150
Distinct characters241
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

Unique144 ?
Unique (%)51.6%

Sample

1st row진양교역
2nd row딜라이트보청기
3rd row영남메디칼
4th row대구서비스
5th row대왕약품
ValueCountFrequency (%)
주식회사 14
 
4.3%
소노베스트 4
 
1.2%
지오메디텍 4
 
1.2%
엘지전자(주 4
 
1.2%
웰페어숍 3
 
0.9%
영남메디칼 3
 
0.9%
대구서비스 3
 
0.9%
성호의료기상사 3
 
0.9%
진영메디칼 3
 
0.9%
위니아서비스동대구점 3
 
0.9%
Other values (217) 281
86.5%
2023-12-11T04:51:13.198487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 96
 
4.5%
메 84
 
3.9%
) 83
 
3.9%
( 82
 
3.8%
디 80
 
3.7%
스 79
 
3.7%
기 66
 
3.1%
대 66
 
3.1%
구 54
 
2.5%
칼 53
 
2.5%
Other values (231) 1407
65.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1916
89.1%
Close Punctuation 83
 
3.9%
Open Punctuation 82
 
3.8%
Space Separator 46
 
2.1%
Uppercase Letter 13
 
0.6%
Lowercase Letter 7
 
0.3%
Other Punctuation 2
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 96
 
5.0%
메 84
 
4.4%
디 80
 
4.2%
스 79
 
4.1%
기 66
 
3.4%
대 66
 
3.4%
구 54
 
2.8%
칼 53
 
2.8%
이 44
 
2.3%
사 39
 
2.0%
Other values (210) 1255
65.5%
Uppercase Letter
ValueCountFrequency (%)
S 5
38.5%
A 2
 
15.4%
L 1
 
7.7%
G 1
 
7.7%
Y 1
 
7.7%
K 1
 
7.7%
J 1
 
7.7%
C 1
 
7.7%
Lowercase Letter
ValueCountFrequency (%)
d 1
14.3%
l 1
14.3%
a 1
14.3%
c 1
14.3%
i 1
14.3%
e 1
14.3%
m 1
14.3%
Other Punctuation
ValueCountFrequency (%)
/ 1
50.0%
, 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 83
100.0%
Open Punctuation
ValueCountFrequency (%)
( 82
100.0%
Space Separator
ValueCountFrequency (%)
46
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1916
89.1%
Common 214
 
10.0%
Latin 20
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 96
 
5.0%
메 84
 
4.4%
디 80
 
4.2%
스 79
 
4.1%
기 66
 
3.4%
대 66
 
3.4%
구 54
 
2.8%
칼 53
 
2.8%
이 44
 
2.3%
사 39
 
2.0%
Other values (210) 1255
65.5%
Latin
ValueCountFrequency (%)
S 5
25.0%
A 2
 
10.0%
L 1
 
5.0%
G 1
 
5.0%
d 1
 
5.0%
l 1
 
5.0%
Y 1
 
5.0%
K 1
 
5.0%
a 1
 
5.0%
c 1
 
5.0%
Other values (5) 5
25.0%
Common
ValueCountFrequency (%)
) 83
38.8%
( 82
38.3%
46
21.5%
- 1
 
0.5%
/ 1
 
0.5%
, 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1916
89.1%
ASCII 234
 
10.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 96
 
5.0%
메 84
 
4.4%
디 80
 
4.2%
스 79
 
4.1%
기 66
 
3.4%
대 66
 
3.4%
구 54
 
2.8%
칼 53
 
2.8%
이 44
 
2.3%
사 39
 
2.0%
Other values (210) 1255
65.5%
ASCII
ValueCountFrequency (%)
) 83
35.5%
( 82
35.0%
46
19.7%
S 5
 
2.1%
A 2
 
0.9%
L 1
 
0.4%
G 1
 
0.4%
d 1
 
0.4%
l 1
 
0.4%
- 1
 
0.4%
Other values (11) 11
 
4.7%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct279
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0160991 × 1013
Minimum2.0110402 × 1013
Maximum2.0221124 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2023-12-11T04:51:13.414319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0110402 × 1013
5-th percentile2.0111006 × 1013
Q12.013123 × 1013
median2.0160113 × 1013
Q32.0190923 × 1013
95-th percentile2.0220406 × 1013
Maximum2.0221124 × 1013
Range1.1072194 × 1011
Interquartile range (IQR)5.9692993 × 1010

Descriptive statistics

Standard deviation3.5096451 × 1010
Coefficient of variation (CV)0.0017408098
Kurtosis-1.3213983
Mean2.0160991 × 1013
Median Absolute Deviation (MAD)2.888308 × 1010
Skewness0.26770863
Sum5.6249164 × 1015
Variance1.2317609 × 1021
MonotonicityNot monotonic
2023-12-11T04:51:13.641386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20110823135355 1
 
0.4%
20200223182128 1
 
0.4%
20110726092423 1
 
0.4%
20171101134331 1
 
0.4%
20151106174653 1
 
0.4%
20210318180147 1
 
0.4%
20221124083945 1
 
0.4%
20220425115558 1
 
0.4%
20200408180131 1
 
0.4%
20171012102323 1
 
0.4%
Other values (269) 269
96.4%
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%
20110726092423 1
0.4%
20110823135355 1
0.4%
20110902174522 1
0.4%
20110916162334 1
0.4%
ValueCountFrequency (%)
20221124083945 1
0.4%
20221117135415 1
0.4%
20221102173114 1
0.4%
20221013085448 1
0.4%
20221007180139 1
0.4%
20220921154910 1
0.4%
20220906132401 1
0.4%
20220816180043 1
0.4%
20220718150250 1
0.4%
20220603152052 1
0.4%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
I
230 
U
49 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 230
82.4%
U 49
 
17.6%

Length

2023-12-11T04:51:13.815219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:51:13.936775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 230
82.4%
u 49
 
17.6%

데이터갱신일자
Date

Distinct96
Distinct (%)34.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
Minimum2018-08-31 23:59:59
Maximum2022-11-26 00:22:22
2023-12-11T04:51:14.066141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:51:14.263285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing279
Missing (%)100.0%
Memory size2.6 KiB

좌표정보(X)
Real number (ℝ)

Distinct216
Distinct (%)78.0%
Missing2
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean343976.05
Minimum330177.56
Maximum355803.77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2023-12-11T04:51:14.858500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum330177.56
5-th percentile336176.67
Q1341193.36
median343926.79
Q3346632.25
95-th percentile353311.51
Maximum355803.77
Range25626.204
Interquartile range (IQR)5438.8917

Descriptive statistics

Standard deviation4651.5765
Coefficient of variation (CV)0.013522966
Kurtosis0.77268816
Mean343976.05
Median Absolute Deviation (MAD)2708.0751
Skewness0.18856998
Sum95281365
Variance21637164
MonotonicityNot monotonic
2023-12-11T04:51:15.077083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
355738.134502612 3
 
1.1%
346984.268417669 3
 
1.1%
336220.533000145 3
 
1.1%
346594.635070329 3
 
1.1%
344204.5224695 2
 
0.7%
340869.089047401 2
 
0.7%
341424.833120216 2
 
0.7%
344222.685639829 2
 
0.7%
340319.446124293 2
 
0.7%
342790.489923992 2
 
0.7%
Other values (206) 253
90.7%
ValueCountFrequency (%)
330177.561403956 1
0.4%
330231.35555341 1
0.4%
331075.882077778 1
0.4%
332301.096061748 1
0.4%
334458.087365177 1
0.4%
334621.225167521 1
0.4%
335178.835083102 1
0.4%
335252.017045665 2
0.7%
335261.521282657 2
0.7%
335635.015697694 1
0.4%
ValueCountFrequency (%)
355803.765371315 1
 
0.4%
355738.134502612 3
1.1%
355544.978296017 2
0.7%
354957.451278219 1
 
0.4%
354843.399478612 1
 
0.4%
354612.776993483 1
 
0.4%
353958.957261934 1
 
0.4%
353886.322185462 1
 
0.4%
353650.283854495 1
 
0.4%
353486.245693131 1
 
0.4%

좌표정보(Y)
Real number (ℝ)

Distinct216
Distinct (%)78.0%
Missing2
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean264077.42
Minimum244796.57
Maximum273573.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2023-12-11T04:51:15.311869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum244796.57
5-th percentile259324.55
Q1262130.24
median264021.35
Q3265440.29
95-th percentile271487.13
Maximum273573.03
Range28776.466
Interquartile range (IQR)3310.0464

Descriptive statistics

Standard deviation3704.3596
Coefficient of variation (CV)0.014027551
Kurtosis5.2710304
Mean264077.42
Median Absolute Deviation (MAD)1666.2739
Skewness-0.58590245
Sum73149446
Variance13722280
MonotonicityNot monotonic
2023-12-11T04:51:15.541940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264306.616812289 3
 
1.1%
265282.301232612 3
 
1.1%
262252.38014151 3
 
1.1%
264578.070096128 3
 
1.1%
265028.313376104 2
 
0.7%
261143.8226896 2
 
0.7%
271792.976432014 2
 
0.7%
266411.338908611 2
 
0.7%
272601.210104453 2
 
0.7%
267743.900302608 2
 
0.7%
Other values (206) 253
90.7%
ValueCountFrequency (%)
244796.565733893 1
0.4%
246500.183177234 1
0.4%
248043.862841354 1
0.4%
257212.639239346 2
0.7%
257245.579511124 1
0.4%
257626.501858164 2
0.7%
257804.640313944 1
0.4%
258442.326482017 1
0.4%
258667.089688602 1
0.4%
258687.523895603 1
0.4%
ValueCountFrequency (%)
273573.031507575 1
0.4%
273320.930652594 1
0.4%
272982.687047687 1
0.4%
272765.392666915 2
0.7%
272606.878010961 2
0.7%
272601.210104453 2
0.7%
272500.61865219 1
0.4%
272469.098656179 1
0.4%
272357.920237483 1
0.4%
271792.976432014 2
0.7%

수리대상 의료기기의 유형
Text

MISSING 

Distinct40
Distinct (%)56.3%
Missing208
Missing (%)74.6%
Memory size2.3 KiB
2023-12-11T04:51:15.803039image/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 row환자운반차
3rd row환자운반차
4th row보청기
5th row-
ValueCountFrequency (%)
환자운반차 20
17.1%
12
 
10.3%
일반기기 8
 
6.8%
의료용물질생성기 7
 
6.0%
생체현상측정기기 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%
2023-12-11T04:51:16.238441image/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%
운 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%
운 25
 
2.9%
차 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%
운 25
 
2.9%
차 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%
운 25
 
2.9%
차 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%
Missing208
Missing (%)74.6%
Memory size690.0 B
True
56 
False
 
15
(Missing)
208 
ValueCountFrequency (%)
True 56
 
20.1%
False 15
 
5.4%
(Missing) 208
74.6%
2023-12-11T04:51:16.400021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

총규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing279
Missing (%)100.0%
Memory size2.6 KiB

영업규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing279
Missing (%)100.0%
Memory size2.6 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)수리대상 의료기기의 유형다른 겸업 여부총규모영업규모
01의료기기수리업01_02_02_P3410000PHMG32008341002304740000120080508<NA>3폐업3폐업20110718<NA><NA><NA>421-6300<NA>700111대구광역시 중구 태평로1가 1번지 187호대구광역시 중구 태평로 177 (태평로1가)<NA>진양교역20110823135355I2018-10-11 15:46:28.0<NA>344204.52247265028.313376<NA><NA><NA><NA>
12의료기기수리업01_02_02_P3410000PHMG32022341002304740000120220816<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 대신동 106-1 2층대구광역시 중구 국채보상로 467, 2층 (대신동)41925딜라이트보청기20220816180043I2022-08-18 00:22:28.0<NA>342782.975342264545.035033<NA><NA><NA><NA>
23의료기기수리업01_02_02_P3410000PHMG32009341002304740000120091118<NA>3폐업3폐업20110916<NA><NA><NA>253-0661<NA>700845대구광역시 중구 동인동3가 271번지 76호대구광역시 중구 태평로 275-10 (동인동3가)<NA>영남메디칼20110916162334I2018-10-11 15:46:28.0<NA>345098.879675264869.082167<NA><NA><NA><NA>
34의료기기수리업01_02_02_P3410000PHMG32009341002304740000220091222<NA>3폐업3폐업20201228<NA><NA><NA><NA><NA>700430대구광역시 중구 대봉동 152번지 24호 상가102대구광역시 중구 명덕로55길 25 (대봉동,상가102)<NA>대구서비스20211117175331U2021-11-19 02:40:00.0<NA>344383.924068263004.53479<NA><NA><NA><NA>
45의료기기수리업01_02_02_P3410000PHMG32010341002304740000120101206<NA>3폐업3폐업20201118<NA><NA><NA>424-1950<NA><NA>대구광역시 중구 동인동4가 415번지 1호대구광역시 중구 동덕로30길 119-6 (동인동4가)41946대왕약품20201118175602U2020-11-20 02:40:00.0<NA>345388.270202264100.025759<NA><NA><NA><NA>
56의료기기수리업01_02_02_P3410000PHMG32011341002304740000320160325<NA>3폐업3폐업20160412<NA><NA><NA>0534225301<NA><NA>대구광역시 중구 남산동 505번지대구광역시 중구 달구벌대로 2068 (남산동)41966(주)스타키코리아 복음보청기 대구센터20160414090609I2018-10-11 15:46:28.0<NA>343529.780565263996.311879<NA><NA><NA><NA>
67의료기기수리업01_02_02_P3410000PHMG32012341002304740000120120427<NA>3폐업3폐업20160726<NA><NA><NA>0532569933<NA>700310대구광역시 중구 동산동 75번지 14호대구광역시 중구 국채보상로 474 (동산동)<NA>동산보청기20160726113346I2018-10-11 15:46:28.0<NA>342845.117241264503.182863<NA><NA><NA><NA>
78의료기기수리업01_02_02_P3410000PHMG32013341002304740000120130415<NA>3폐업3폐업20210511<NA><NA><NA>256-7535<NA>700847대구광역시 중구 동인동4가 535번지 2호대구광역시 중구 동덕로30길 139-4 (동인동4가)<NA>성호의료기상사20210511142424U2021-05-13 02:40:00.0<NA>345475.182706264074.665532<NA><NA><NA><NA>
89의료기기수리업01_02_02_P3410000PHMG32013341002304740000420131206<NA>3폐업3폐업20200731<NA><NA><NA>053-214-1414<NA>700230대구광역시 중구 남성로 92번지대구광역시 중구 종로 17, 5층 (남성로)41934딜라이트주식회사 대구점20200821091941U2020-08-23 02:40:00.0<NA>343711.580852264181.673381<NA><NA><NA><NA>
910의료기기수리업01_02_02_P3410000PHMG32017341002304740000120170721<NA>3폐업3폐업20181127<NA><NA><NA>0532540700<NA><NA><NA>대구광역시 중구 동덕로36길 91-3, 2층 (동인동3가)41907이롬황성주생식 대구동인중구청점20181127174255U2018-11-29 02:40:00.0<NA>345264.253647264473.153449<NA><NA><NA><NA>
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