Overview

Dataset statistics

Number of variables32
Number of observations275
Missing cells3173
Missing cells (%)36.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory74.0 KiB
Average record size in memory275.5 B

Variable types

Numeric9
Categorical7
Text6
Unsupported8
DateTime1
Boolean1

Dataset

Description22년08월_6270000_대구광역시_01_02_02_P_의료기기수리업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000094299&dataSetDetailId=DDI_0000094385&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
인허가취소일자 has 275 (100.0%) missing valuesMissing
폐업일자 has 220 (80.0%) missing valuesMissing
휴업시작일자 has 275 (100.0%) missing valuesMissing
휴업종료일자 has 275 (100.0%) missing valuesMissing
재개업일자 has 275 (100.0%) missing valuesMissing
소재지전화 has 38 (13.8%) missing valuesMissing
소재지면적 has 275 (100.0%) missing valuesMissing
소재지우편번호 has 180 (65.5%) missing valuesMissing
소재지전체주소 has 19 (6.9%) missing valuesMissing
도로명우편번호 has 99 (36.0%) missing valuesMissing
업태구분명 has 275 (100.0%) missing valuesMissing
좌표정보(X) has 4 (1.5%) missing valuesMissing
좌표정보(Y) has 4 (1.5%) missing valuesMissing
수리대상 의료기기의 유형 has 204 (74.2%) missing valuesMissing
다른 겸업 여부 has 204 (74.2%) missing valuesMissing
총규모 has 275 (100.0%) missing valuesMissing
영업규모 has 275 (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 started2024-04-21 21:13:30.649809
Analysis finished2024-04-21 21:13:31.581571
Duration0.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct275
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean138
Minimum1
Maximum275
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-04-22T06:13:31.703596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile14.7
Q169.5
median138
Q3206.5
95-th percentile261.3
Maximum275
Range274
Interquartile range (IQR)137

Descriptive statistics

Standard deviation79.529869
Coefficient of variation (CV)0.5763034
Kurtosis-1.2
Mean138
Median Absolute Deviation (MAD)69
Skewness0
Sum37950
Variance6325
MonotonicityStrictly increasing
2024-04-22T06:13:31.945340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
183 1
 
0.4%
189 1
 
0.4%
188 1
 
0.4%
187 1
 
0.4%
186 1
 
0.4%
185 1
 
0.4%
184 1
 
0.4%
182 1
 
0.4%
174 1
 
0.4%
Other values (265) 265
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 (%)
275 1
0.4%
274 1
0.4%
273 1
0.4%
272 1
0.4%
271 1
0.4%
270 1
0.4%
269 1
0.4%
268 1
0.4%
267 1
0.4%
266 1
0.4%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
의료기기수리업
275 

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 275
100.0%

Length

2024-04-22T06:13:32.172810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:13:32.330771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의료기기수리업 275
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
01_02_02_P
275 

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 275
100.0%

Length

2024-04-22T06:13:32.493978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:13:32.656531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01_02_02_p 275
100.0%

개방자치단체코드
Real number (ℝ)

Distinct9
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4171490.9
Minimum3410000
Maximum6270000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-04-22T06:13:32.793151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13420000
median3450000
Q36270000
95-th percentile6270000
Maximum6270000
Range2860000
Interquartile range (IQR)2850000

Descriptive statistics

Standard deviation1240415.9
Coefficient of variation (CV)0.29735554
Kurtosis-0.77149454
Mean4171490.9
Median Absolute Deviation (MAD)30000
Skewness1.1103706
Sum1.14716 × 109
Variance1.5386317 × 1012
MonotonicityIncreasing
2024-04-22T06:13:32.971467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
6270000 71
25.8%
3420000 37
13.5%
3470000 35
12.7%
3410000 33
12.0%
3450000 33
12.0%
3460000 24
 
8.7%
3440000 22
 
8.0%
3430000 14
 
5.1%
3480000 6
 
2.2%
ValueCountFrequency (%)
3410000 33
12.0%
3420000 37
13.5%
3430000 14
 
5.1%
3440000 22
 
8.0%
3450000 33
12.0%
3460000 24
 
8.7%
3470000 35
12.7%
3480000 6
 
2.2%
6270000 71
25.8%
ValueCountFrequency (%)
6270000 71
25.8%
3480000 6
 
2.2%
3470000 35
12.7%
3460000 24
 
8.7%
3450000 33
12.0%
3440000 22
 
8.0%
3430000 14
 
5.1%
3420000 37
13.5%
3410000 33
12.0%

관리번호
Text

UNIQUE 

Distinct275
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2024-04-22T06:13:33.596232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length23.192727
Min length18

Characters and Unicode

Total characters6378
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

Unique275 ?
Unique (%)100.0%

Sample

1st rowPHMG320083410023047400001
2nd rowPHMG320223410023047400001
3rd rowPHMG320093410023047400002
4th rowPHMG320103410023047400001
5th rowPHMG320113410023047400003
ValueCountFrequency (%)
phmg320083410023047400001 1
 
0.4%
phmg320203470022047400001 1
 
0.4%
phmg320193470022047400002 1
 
0.4%
phmg320193470022047400004 1
 
0.4%
phmg320193470022047400003 1
 
0.4%
phmg320193470022047400005 1
 
0.4%
phmg320193470022047400006 1
 
0.4%
201162700006000008 1
 
0.4%
phmg320213470022047400001 1
 
0.4%
phmg320183450022047400001 1
 
0.4%
Other values (265) 265
96.4%
2024-04-22T06:13:34.454975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2356
36.9%
2 775
 
12.2%
4 708
 
11.1%
3 581
 
9.1%
1 462
 
7.2%
7 326
 
5.1%
P 204
 
3.2%
H 204
 
3.2%
M 204
 
3.2%
G 204
 
3.2%
Other values (4) 354
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5562
87.2%
Uppercase Letter 816
 
12.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2356
42.4%
2 775
 
13.9%
4 708
 
12.7%
3 581
 
10.4%
1 462
 
8.3%
7 326
 
5.9%
6 200
 
3.6%
5 77
 
1.4%
9 44
 
0.8%
8 33
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
P 204
25.0%
H 204
25.0%
M 204
25.0%
G 204
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5562
87.2%
Latin 816
 
12.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2356
42.4%
2 775
 
13.9%
4 708
 
12.7%
3 581
 
10.4%
1 462
 
8.3%
7 326
 
5.9%
6 200
 
3.6%
5 77
 
1.4%
9 44
 
0.8%
8 33
 
0.6%
Latin
ValueCountFrequency (%)
P 204
25.0%
H 204
25.0%
M 204
25.0%
G 204
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6378
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2356
36.9%
2 775
 
12.2%
4 708
 
11.1%
3 581
 
9.1%
1 462
 
7.2%
7 326
 
5.1%
P 204
 
3.2%
H 204
 
3.2%
M 204
 
3.2%
G 204
 
3.2%
Other values (4) 354
 
5.6%

인허가일자
Real number (ℝ)

Distinct203
Distinct (%)73.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20120294
Minimum20041004
Maximum20220816
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-04-22T06:13:34.703212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20041004
5-th percentile20041207
Q120081031
median20110310
Q320160561
95-th percentile20210703
Maximum20220816
Range179812
Interquartile range (IQR)79530

Descriptive statistics

Standard deviation52575.97
Coefficient of variation (CV)0.0026130816
Kurtosis-0.972497
Mean20120294
Median Absolute Deviation (MAD)40084
Skewness0.27293797
Sum5.5330809 × 109
Variance2.7642326 × 109
MonotonicityNot monotonic
2024-04-22T06:13:34.967699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20081126 9
 
3.3%
20041207 9
 
3.3%
20110121 6
 
2.2%
20110124 6
 
2.2%
20050614 3
 
1.1%
20101206 3
 
1.1%
20080508 2
 
0.7%
20190529 2
 
0.7%
20091118 2
 
0.7%
20050824 2
 
0.7%
Other values (193) 231
84.0%
ValueCountFrequency (%)
20041004 2
 
0.7%
20041104 2
 
0.7%
20041129 2
 
0.7%
20041207 9
3.3%
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 (%)
20220816 1
0.4%
20220630 1
0.4%
20220623 1
0.4%
20220429 1
0.4%
20220421 1
0.4%
20220408 1
0.4%
20220209 1
0.4%
20220207 1
0.4%
20220120 1
0.4%
20211228 1
0.4%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing275
Missing (%)100.0%
Memory size2.5 KiB

영업상태구분코드
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
1
220 
3
55 

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 (%)
1 220
80.0%
3 55
 
20.0%

Length

2024-04-22T06:13:35.211505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:13:35.374601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 220
80.0%
3 55
 
20.0%

영업상태명
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
영업/정상
220 
폐업
55 

Length

Max length5
Median length5
Mean length4.4
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 220
80.0%
폐업 55
 
20.0%

Length

2024-04-22T06:13:35.556261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:13:35.727967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 220
80.0%
폐업 55
 
20.0%

상세영업상태코드
Categorical

Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
13
149 
1
71 
3
54 
24
 
1

Length

Max length2
Median length2
Mean length1.5454545
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
13 149
54.2%
1 71
25.8%
3 54
 
19.6%
24 1
 
0.4%

Length

2024-04-22T06:13:35.916306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:13:36.102355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 149
54.2%
1 71
25.8%
3 54
 
19.6%
24 1
 
0.4%

상세영업상태명
Categorical

Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
영업중
149 
정상
71 
폐업
54 
직권폐업
 
1

Length

Max length4
Median length3
Mean length2.5490909
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 149
54.2%
정상 71
25.8%
폐업 54
 
19.6%
직권폐업 1
 
0.4%

Length

2024-04-22T06:13:36.320148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:13:36.524825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 149
54.2%
정상 71
25.8%
폐업 54
 
19.6%
직권폐업 1
 
0.4%

폐업일자
Real number (ℝ)

MISSING 

Distinct53
Distinct (%)96.4%
Missing220
Missing (%)80.0%
Infinite0
Infinite (%)0.0%
Mean20158509
Minimum20090731
Maximum20220303
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-04-22T06:13:36.750138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090731
5-th percentile20110857
Q120140210
median20160112
Q320181122
95-th percentile20204013
Maximum20220303
Range129572
Interquartile range (IQR)40912

Descriptive statistics

Standard deviation31127.401
Coefficient of variation (CV)0.0015441321
Kurtosis-0.71637139
Mean20158509
Median Absolute Deviation (MAD)20299
Skewness-0.08286328
Sum1.108718 × 109
Variance9.6891509 × 108
MonotonicityNot monotonic
2024-04-22T06:13:37.018450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20110916 2
 
0.7%
20111006 2
 
0.7%
20151117 1
 
0.4%
20140212 1
 
0.4%
20131022 1
 
0.4%
20181116 1
 
0.4%
20180821 1
 
0.4%
20160112 1
 
0.4%
20150106 1
 
0.4%
20220303 1
 
0.4%
Other values (43) 43
 
15.6%
(Missing) 220
80.0%
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 (%)
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%
20190703 1
0.4%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing275
Missing (%)100.0%
Memory size2.5 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing275
Missing (%)100.0%
Memory size2.5 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing275
Missing (%)100.0%
Memory size2.5 KiB

소재지전화
Text

MISSING 

Distinct227
Distinct (%)95.8%
Missing38
Missing (%)13.8%
Memory size2.3 KiB
2024-04-22T06:13:37.789921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.599156
Min length7

Characters and Unicode

Total characters2512
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

Unique220 ?
Unique (%)92.8%

Sample

1st row421-6300
2nd row424-1950
3rd row0534225301
4th row0532569933
5th row256-7535
ValueCountFrequency (%)
053-525-0999 4
 
1.7%
053-584-4431 3
 
1.3%
053-582-9486 2
 
0.8%
0534225301 2
 
0.8%
053-763-0953 2
 
0.8%
053-952-9570 2
 
0.8%
053-382-3800 2
 
0.8%
053-587-0030 1
 
0.4%
053-624-7777 1
 
0.4%
053-654-9352 1
 
0.4%
Other values (217) 217
91.6%
2024-04-22T06:13:39.040548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 462
18.4%
0 358
14.3%
3 335
13.3%
- 273
10.9%
2 189
7.5%
7 178
 
7.1%
4 153
 
6.1%
6 153
 
6.1%
8 145
 
5.8%
9 132
 
5.3%
Other values (2) 134
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2237
89.1%
Dash Punctuation 273
 
10.9%
Close Punctuation 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 462
20.7%
0 358
16.0%
3 335
15.0%
2 189
8.4%
7 178
 
8.0%
4 153
 
6.8%
6 153
 
6.8%
8 145
 
6.5%
9 132
 
5.9%
1 132
 
5.9%
Dash Punctuation
ValueCountFrequency (%)
- 273
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2512
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 462
18.4%
0 358
14.3%
3 335
13.3%
- 273
10.9%
2 189
7.5%
7 178
 
7.1%
4 153
 
6.1%
6 153
 
6.1%
8 145
 
5.8%
9 132
 
5.3%
Other values (2) 134
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2512
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 462
18.4%
0 358
14.3%
3 335
13.3%
- 273
10.9%
2 189
7.5%
7 178
 
7.1%
4 153
 
6.1%
6 153
 
6.1%
8 145
 
5.8%
9 132
 
5.3%
Other values (2) 134
 
5.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing275
Missing (%)100.0%
Memory size2.5 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct86
Distinct (%)90.5%
Missing180
Missing (%)65.5%
Infinite0
Infinite (%)0.0%
Mean689727.06
Minimum42687
Maximum711838
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-04-22T06:13:39.283345image/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
2024-04-22T06:13:39.525474image/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
27.6%
(Missing) 180
65.5%
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 

Distinct251
Distinct (%)98.0%
Missing19
Missing (%)6.9%
Memory size2.3 KiB
2024-04-22T06:13:40.878329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length33
Mean length23.160156
Min length15

Characters and Unicode

Total characters5929
Distinct characters130
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

Unique246 ?
Unique (%)96.1%

Sample

1st row대구광역시 중구 태평로1가 1번지 187호
2nd row대구광역시 중구 대신동 106-1 2층
3rd row대구광역시 중구 대봉동 152번지 24호 상가102
4th row대구광역시 중구 동인동4가 415번지 1호
5th row대구광역시 중구 남산동 505번지
ValueCountFrequency (%)
대구광역시 256
 
19.8%
동구 46
 
3.6%
북구 45
 
3.5%
달서구 39
 
3.0%
중구 38
 
2.9%
수성구 33
 
2.6%
남구 28
 
2.2%
1호 25
 
1.9%
1층 25
 
1.9%
서구 21
 
1.6%
Other values (366) 738
57.0%
2024-04-22T06:13:42.414135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1184
20.0%
구 510
 
8.6%
1 319
 
5.4%
동 312
 
5.3%
대 284
 
4.8%
시 260
 
4.4%
광 257
 
4.3%
역 256
 
4.3%
지 228
 
3.8%
번 221
 
3.7%
Other values (120) 2098
35.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3447
58.1%
Decimal Number 1251
 
21.1%
Space Separator 1184
 
20.0%
Dash Punctuation 26
 
0.4%
Open Punctuation 7
 
0.1%
Close Punctuation 7
 
0.1%
Other Punctuation 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 510
14.8%
동 312
 
9.1%
대 284
 
8.2%
시 260
 
7.5%
광 257
 
7.5%
역 256
 
7.4%
지 228
 
6.6%
번 221
 
6.4%
호 208
 
6.0%
서 67
 
1.9%
Other values (104) 844
24.5%
Decimal Number
ValueCountFrequency (%)
1 319
25.5%
2 179
14.3%
3 121
 
9.7%
7 120
 
9.6%
4 104
 
8.3%
0 90
 
7.2%
6 89
 
7.1%
5 86
 
6.9%
8 79
 
6.3%
9 64
 
5.1%
Other Punctuation
ValueCountFrequency (%)
. 5
71.4%
, 2
 
28.6%
Space Separator
ValueCountFrequency (%)
1184
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3447
58.1%
Common 2482
41.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 510
14.8%
동 312
 
9.1%
대 284
 
8.2%
시 260
 
7.5%
광 257
 
7.5%
역 256
 
7.4%
지 228
 
6.6%
번 221
 
6.4%
호 208
 
6.0%
서 67
 
1.9%
Other values (104) 844
24.5%
Common
ValueCountFrequency (%)
1184
47.7%
1 319
 
12.9%
2 179
 
7.2%
3 121
 
4.9%
7 120
 
4.8%
4 104
 
4.2%
0 90
 
3.6%
6 89
 
3.6%
5 86
 
3.5%
8 79
 
3.2%
Other values (6) 111
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3447
58.1%
ASCII 2482
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1184
47.7%
1 319
 
12.9%
2 179
 
7.2%
3 121
 
4.9%
7 120
 
4.8%
4 104
 
4.2%
0 90
 
3.6%
6 89
 
3.6%
5 86
 
3.5%
8 79
 
3.2%
Other values (6) 111
 
4.5%
Hangul
ValueCountFrequency (%)
구 510
14.8%
동 312
 
9.1%
대 284
 
8.2%
시 260
 
7.5%
광 257
 
7.5%
역 256
 
7.4%
지 228
 
6.6%
번 221
 
6.4%
호 208
 
6.0%
서 67
 
1.9%
Other values (104) 844
24.5%

도로명전체주소
Text

Distinct244
Distinct (%)89.1%
Missing1
Missing (%)0.4%
Memory size2.3 KiB
2024-04-22T06:13:43.576274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length42
Mean length28.423358
Min length20

Characters and Unicode

Total characters7788
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

Unique214 ?
Unique (%)78.1%

Sample

1st row대구광역시 중구 태평로 177 (태평로1가)
2nd row대구광역시 중구 국채보상로 467, 2층 (대신동)
3rd row대구광역시 중구 명덕로55길 25 (대봉동,상가102)
4th row대구광역시 중구 동덕로30길 119-6 (동인동4가)
5th row대구광역시 중구 달구벌대로 2068 (남산동)
ValueCountFrequency (%)
대구광역시 274
 
17.5%
1층 49
 
3.1%
동구 49
 
3.1%
북구 46
 
2.9%
중구 46
 
2.9%
달서구 43
 
2.8%
수성구 35
 
2.2%
남구 28
 
1.8%
층 22
 
1.4%
서구 20
 
1.3%
Other values (488) 951
60.8%
2024-04-22T06:13:45.009821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1463
18.8%
구 590
 
7.6%
동 394
 
5.1%
대 365
 
4.7%
시 284
 
3.6%
광 276
 
3.5%
1 276
 
3.5%
역 274
 
3.5%
( 273
 
3.5%
) 273
 
3.5%
Other values (196) 3320
42.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4321
55.5%
Space Separator 1463
 
18.8%
Decimal Number 1214
 
15.6%
Open Punctuation 273
 
3.5%
Close Punctuation 273
 
3.5%
Other Punctuation 176
 
2.3%
Dash Punctuation 62
 
0.8%
Uppercase Letter 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 590
 
13.7%
동 394
 
9.1%
대 365
 
8.4%
시 284
 
6.6%
광 276
 
6.4%
역 274
 
6.3%
로 268
 
6.2%
층 129
 
3.0%
길 117
 
2.7%
서 88
 
2.0%
Other values (173) 1536
35.5%
Decimal Number
ValueCountFrequency (%)
1 276
22.7%
2 217
17.9%
4 127
10.5%
3 122
10.0%
5 104
 
8.6%
6 90
 
7.4%
0 84
 
6.9%
8 70
 
5.8%
7 66
 
5.4%
9 58
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
S 1
16.7%
H 1
16.7%
B 1
16.7%
K 1
16.7%
T 1
16.7%
G 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 174
98.9%
. 1
 
0.6%
& 1
 
0.6%
Space Separator
ValueCountFrequency (%)
1463
100.0%
Open Punctuation
ValueCountFrequency (%)
( 273
100.0%
Close Punctuation
ValueCountFrequency (%)
) 273
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4321
55.5%
Common 3461
44.4%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 590
 
13.7%
동 394
 
9.1%
대 365
 
8.4%
시 284
 
6.6%
광 276
 
6.4%
역 274
 
6.3%
로 268
 
6.2%
층 129
 
3.0%
길 117
 
2.7%
서 88
 
2.0%
Other values (173) 1536
35.5%
Common
ValueCountFrequency (%)
1463
42.3%
1 276
 
8.0%
( 273
 
7.9%
) 273
 
7.9%
2 217
 
6.3%
, 174
 
5.0%
4 127
 
3.7%
3 122
 
3.5%
5 104
 
3.0%
6 90
 
2.6%
Other values (7) 342
 
9.9%
Latin
ValueCountFrequency (%)
S 1
16.7%
H 1
16.7%
B 1
16.7%
K 1
16.7%
T 1
16.7%
G 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4321
55.5%
ASCII 3467
44.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1463
42.2%
1 276
 
8.0%
( 273
 
7.9%
) 273
 
7.9%
2 217
 
6.3%
, 174
 
5.0%
4 127
 
3.7%
3 122
 
3.5%
5 104
 
3.0%
6 90
 
2.6%
Other values (13) 348
 
10.0%
Hangul
ValueCountFrequency (%)
구 590
 
13.7%
동 394
 
9.1%
대 365
 
8.4%
시 284
 
6.6%
광 276
 
6.4%
역 274
 
6.3%
로 268
 
6.2%
층 129
 
3.0%
길 117
 
2.7%
서 88
 
2.0%
Other values (173) 1536
35.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct146
Distinct (%)83.0%
Missing99
Missing (%)36.0%
Infinite0
Infinite (%)0.0%
Mean83303.818
Minimum41059
Maximum706012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-04-22T06:13:45.246103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41059
5-th percentile41115.5
Q141464
median41954.5
Q342618.5
95-th percentile702100.5
Maximum706012
Range664953
Interquartile range (IQR)1154.5

Descriptive statistics

Standard deviation160683.1
Coefficient of variation (CV)1.9288804
Kurtosis11.422436
Mean83303.818
Median Absolute Deviation (MAD)536
Skewness3.6458834
Sum14661472
Variance2.5819058 × 1010
MonotonicityNot monotonic
2024-04-22T06:13:45.494745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41966 3
 
1.1%
41087 3
 
1.1%
41474 3
 
1.1%
41958 3
 
1.1%
42815 3
 
1.1%
42480 2
 
0.7%
41118 2
 
0.7%
42670 2
 
0.7%
41516 2
 
0.7%
42250 2
 
0.7%
Other values (136) 151
54.9%
(Missing) 99
36.0%
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

Distinct203
Distinct (%)73.8%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2024-04-22T06:13:46.188799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length20
Mean length7.6909091
Min length2

Characters and Unicode

Total characters2115
Distinct characters239
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

Unique140 ?
Unique (%)50.9%

Sample

1st row진양교역
2nd row딜라이트보청기
3rd row대구서비스
4th row대왕약품
5th row(주)스타키코리아 복음보청기 대구센터
ValueCountFrequency (%)
주식회사 14
 
4.4%
소노베스트 4
 
1.3%
지오메디텍 4
 
1.3%
엘지전자(주 4
 
1.3%
위니아서비스동대구점 3
 
0.9%
성호의료기상사 3
 
0.9%
진영메디칼 3
 
0.9%
주)대세엠케어 3
 
0.9%
웰페어숍 3
 
0.9%
영남메디칼 3
 
0.9%
Other values (211) 275
86.2%
2024-04-22T06:13:47.089611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 96
 
4.5%
) 83
 
3.9%
메 83
 
3.9%
( 82
 
3.9%
디 79
 
3.7%
스 77
 
3.6%
기 65
 
3.1%
대 65
 
3.1%
구 53
 
2.5%
칼 52
 
2.5%
Other values (229) 1380
65.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1883
89.0%
Close Punctuation 83
 
3.9%
Open Punctuation 82
 
3.9%
Space Separator 44
 
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
 
5.1%
메 83
 
4.4%
디 79
 
4.2%
스 77
 
4.1%
기 65
 
3.5%
대 65
 
3.5%
구 53
 
2.8%
칼 52
 
2.8%
이 42
 
2.2%
의 38
 
2.0%
Other values (208) 1233
65.5%
Uppercase Letter
ValueCountFrequency (%)
S 5
38.5%
A 2
 
15.4%
G 1
 
7.7%
L 1
 
7.7%
Y 1
 
7.7%
K 1
 
7.7%
J 1
 
7.7%
C 1
 
7.7%
Lowercase Letter
ValueCountFrequency (%)
l 1
14.3%
a 1
14.3%
c 1
14.3%
i 1
14.3%
d 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 (%)
44
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1883
89.0%
Common 212
 
10.0%
Latin 20
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 96
 
5.1%
메 83
 
4.4%
디 79
 
4.2%
스 77
 
4.1%
기 65
 
3.5%
대 65
 
3.5%
구 53
 
2.8%
칼 52
 
2.8%
이 42
 
2.2%
의 38
 
2.0%
Other values (208) 1233
65.5%
Latin
ValueCountFrequency (%)
S 5
25.0%
A 2
 
10.0%
G 1
 
5.0%
L 1
 
5.0%
l 1
 
5.0%
Y 1
 
5.0%
K 1
 
5.0%
a 1
 
5.0%
c 1
 
5.0%
i 1
 
5.0%
Other values (5) 5
25.0%
Common
ValueCountFrequency (%)
) 83
39.2%
( 82
38.7%
44
20.8%
, 1
 
0.5%
/ 1
 
0.5%
- 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1883
89.0%
ASCII 232
 
11.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 96
 
5.1%
메 83
 
4.4%
디 79
 
4.2%
스 77
 
4.1%
기 65
 
3.5%
대 65
 
3.5%
구 53
 
2.8%
칼 52
 
2.8%
이 42
 
2.2%
의 38
 
2.0%
Other values (208) 1233
65.5%
ASCII
ValueCountFrequency (%)
) 83
35.8%
( 82
35.3%
44
19.0%
S 5
 
2.2%
A 2
 
0.9%
G 1
 
0.4%
L 1
 
0.4%
, 1
 
0.4%
l 1
 
0.4%
Y 1
 
0.4%
Other values (11) 11
 
4.7%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct275
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.015964 × 1013
Minimum2.0110402 × 1013
Maximum2.0220816 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-04-22T06:13:47.337600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0110402 × 1013
5-th percentile2.0111006 × 1013
Q12.013123 × 1013
median2.0151118 × 1013
Q32.0190814 × 1013
95-th percentile2.0213898 × 1013
Maximum2.0220816 × 1013
Range1.1041404 × 1011
Interquartile range (IQR)5.9583566 × 1010

Descriptive statistics

Standard deviation3.4402128 × 1010
Coefficient of variation (CV)0.0017064852
Kurtosis-1.3017667
Mean2.015964 × 1013
Median Absolute Deviation (MAD)2.0095951 × 1010
Skewness0.28365661
Sum5.543901 × 1015
Variance1.1835064 × 1021
MonotonicityNot monotonic
2024-04-22T06:13:47.594023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20110823135355 1
 
0.4%
20210318180147 1
 
0.4%
20190923100315 1
 
0.4%
20171012102323 1
 
0.4%
20150923114130 1
 
0.4%
20110726092423 1
 
0.4%
20171101134331 1
 
0.4%
20151106174653 1
 
0.4%
20220425115558 1
 
0.4%
20190131140640 1
 
0.4%
Other values (265) 265
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 (%)
20220816180043 1
0.4%
20220718150250 1
0.4%
20220623105735 1
0.4%
20220603152052 1
0.4%
20220429180107 1
0.4%
20220425115558 1
0.4%
20220421155956 1
0.4%
20220408173616 1
0.4%
20220406161356 1
0.4%
20220303155056 1
0.4%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
I
228 
U
47 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 228
82.9%
U 47
 
17.1%

Length

2024-04-22T06:13:47.825248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:13:47.992178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 228
82.9%
u 47
 
17.1%

데이터갱신일자
Date

Distinct91
Distinct (%)33.1%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
Minimum2018-08-31 23:59:59
Maximum2022-08-18 00:22:28
2024-04-22T06:13:48.183141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T06:13:48.436026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing275
Missing (%)100.0%
Memory size2.5 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct210
Distinct (%)77.5%
Missing4
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean344000.24
Minimum330160.78
Maximum355807
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-04-22T06:13:48.687805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum330160.78
5-th percentile336110.88
Q1341220.72
median343951.87
Q3346633.56
95-th percentile353321.59
Maximum355807
Range25646.217
Interquartile range (IQR)5412.842

Descriptive statistics

Standard deviation4638.4328
Coefficient of variation (CV)0.013483807
Kurtosis0.82299796
Mean344000.24
Median Absolute Deviation (MAD)2686.3882
Skewness0.17293382
Sum93224064
Variance21515059
MonotonicityNot monotonic
2024-04-22T06:13:48.942241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
336220.533 3
 
1.1%
346984.268418 3
 
1.1%
346594.63507 3
 
1.1%
355738.134502 3
 
1.1%
339638.085226 2
 
0.7%
340143.072188 2
 
0.7%
340319.446124 2
 
0.7%
342790.489924 2
 
0.7%
344366.125813 2
 
0.7%
343190.553414 2
 
0.7%
Other values (200) 247
89.8%
(Missing) 4
 
1.5%
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%
334621.225167 1
0.4%
335178.835083 1
0.4%
335252.017046 2
0.7%
335261.521283 2
0.7%
335635.015698 1
0.4%
ValueCountFrequency (%)
355807.0 1
 
0.4%
355738.134502 3
1.1%
355544.978296 2
0.7%
354957.451278 1
 
0.4%
354843.399478 1
 
0.4%
354619.985681 1
 
0.4%
353958.957262 1
 
0.4%
353886.322185 1
 
0.4%
353650.283854 1
 
0.4%
353486.245693 1
 
0.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct210
Distinct (%)77.5%
Missing4
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean264041.76
Minimum244792.38
Maximum273573.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-04-22T06:13:49.178610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum244792.38
5-th percentile259359.03
Q1262203.79
median264021.35
Q3265415.89
95-th percentile271326.26
Maximum273573.03
Range28780.655
Interquartile range (IQR)3212.1016

Descriptive statistics

Standard deviation3651.1991
Coefficient of variation (CV)0.013828112
Kurtosis5.7503821
Mean264041.76
Median Absolute Deviation (MAD)1594.5788
Skewness-0.66675706
Sum71555317
Variance13331255
MonotonicityNot monotonic
2024-04-22T06:13:49.422262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
262252.380142 3
 
1.1%
265282.301233 3
 
1.1%
264578.070096 3
 
1.1%
264306.616812 3
 
1.1%
259393.072689 2
 
0.7%
257626.501858 2
 
0.7%
272601.210104 2
 
0.7%
267743.900303 2
 
0.7%
262100.068871 2
 
0.7%
261788.229917 2
 
0.7%
Other values (200) 247
89.8%
(Missing) 4
 
1.5%
ValueCountFrequency (%)
244792.376265 1
0.4%
246499.915623 1
0.4%
248043.862841 1
0.4%
257212.639239 2
0.7%
257245.579511 1
0.4%
257626.501858 2
0.7%
257804.640314 1
0.4%
258442.326482 1
0.4%
258667.089689 1
0.4%
258687.523896 1
0.4%
ValueCountFrequency (%)
273573.031508 1
0.4%
273320.930653 1
0.4%
272982.687048 1
0.4%
272765.392667 2
0.7%
272606.878011 2
0.7%
272601.210104 2
0.7%
272500.618652 1
0.4%
272469.098656 1
0.4%
271792.976432 2
0.7%
271410.668792 1
0.4%

수리대상 의료기기의 유형
Text

MISSING 

Distinct40
Distinct (%)56.3%
Missing204
Missing (%)74.2%
Memory size2.3 KiB
2024-04-22T06:13:49.968748image/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%
2024-04-22T06:13:50.784600image/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%
Missing204
Missing (%)74.2%
Memory size678.0 B
True
56 
False
 
15
(Missing)
204 
ValueCountFrequency (%)
True 56
 
20.4%
False 15
 
5.5%
(Missing) 204
74.2%
2024-04-22T06:13:50.976027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

총규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing275
Missing (%)100.0%
Memory size2.5 KiB

영업규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing275
Missing (%)100.0%
Memory size2.5 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>344204.522469265028.313376<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_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>
34의료기기수리업01_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>
45의료기기수리업01_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>
56의료기기수리업01_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>
67의료기기수리업01_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>
78의료기기수리업01_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>
89의료기기수리업01_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>
910의료기기수리업01_02_02_P3410000PHMG32019341002304740000120190723<NA>1영업/정상13영업중<NA><NA><NA><NA>053-719-3166<NA><NA>대구광역시 중구 남산동 927번지 9호대구광역시 중구 달구벌대로 2094, 401호(우측) 4층 (남산동)41967나눔보청기대구반월당점20190724181759I2019-07-26 02:21:45.0<NA>343781.931234263965.879869<NA><NA><NA><NA>
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