Overview

Dataset statistics

Number of variables17
Number of observations95
Missing cells597
Missing cells (%)37.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.8 KiB
Average record size in memory138.4 B

Variable types

Text14
Categorical2
Unsupported1

Dataset

Description의료기기수리업전북도,20170829
Author전라북도
URLhttps://www.bigdatahub.go.kr/opendata/dataSet/detail.nm?contentId=37&rlik=49451aebf056b486&serviceId=202014

Alerts

영업구분 has constant value ""Constant
영업소_소재지(지번) has 14 (14.7%) missing valuesMissing
영업소_소재지(도로명) has 4 (4.2%) missing valuesMissing
영업소_우편번호 has 91 (95.8%) missing valuesMissing
영업소_전화번호 has 20 (21.1%) missing valuesMissing
비고 has 37 (38.9%) missing valuesMissing
휴업예정시작일자 has 93 (97.9%) missing valuesMissing
휴업예정종료일자 has 93 (97.9%) missing valuesMissing
폐업일자 has 84 (88.4%) missing valuesMissing
영업재개일자 has 95 (100.0%) missing valuesMissing
과거신고번호 has 66 (69.5%) missing valuesMissing
의료기기영업신고번호 has unique valuesUnique
영업재개일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-14 01:12:15.469990
Analysis finished2024-03-14 01:12:17.615139
Duration2.15 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

의료기기영업신고번호
Text

UNIQUE 

Distinct95
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size892.0 B
2024-03-14T10:12:17.725384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters2090
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

Unique95 ?
Unique (%)100.0%

Sample

1st row?2011-6450000-60-00001
2nd row?2011-6450000-60-00002
3rd row?2011-6450000-60-00003
4th row?2011-6450000-60-00004
5th row?2011-6450000-60-00005
ValueCountFrequency (%)
2011-6450000-60-00001 1
 
1.1%
2016-6450000-60-00002 1
 
1.1%
2015-6450000-60-00005 1
 
1.1%
2015-6450000-60-00004 1
 
1.1%
2015-6450000-60-00003 1
 
1.1%
2015-6450000-60-00002 1
 
1.1%
2015-6450000-60-00001 1
 
1.1%
2014-6450000-60-00004 1
 
1.1%
2014-6450000-60-00003 1
 
1.1%
2014-6450000-60-00002 1
 
1.1%
Other values (85) 85
89.5%
2024-03-14T10:12:18.018990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 911
43.6%
- 285
 
13.6%
6 212
 
10.1%
1 173
 
8.3%
2 125
 
6.0%
4 119
 
5.7%
5 111
 
5.3%
? 95
 
4.5%
3 26
 
1.2%
7 18
 
0.9%
Other values (2) 15
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1710
81.8%
Dash Punctuation 285
 
13.6%
Other Punctuation 95
 
4.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 911
53.3%
6 212
 
12.4%
1 173
 
10.1%
2 125
 
7.3%
4 119
 
7.0%
5 111
 
6.5%
3 26
 
1.5%
7 18
 
1.1%
8 8
 
0.5%
9 7
 
0.4%
Dash Punctuation
ValueCountFrequency (%)
- 285
100.0%
Other Punctuation
ValueCountFrequency (%)
? 95
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2090
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 911
43.6%
- 285
 
13.6%
6 212
 
10.1%
1 173
 
8.3%
2 125
 
6.0%
4 119
 
5.7%
5 111
 
5.3%
? 95
 
4.5%
3 26
 
1.2%
7 18
 
0.9%
Other values (2) 15
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2090
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 911
43.6%
- 285
 
13.6%
6 212
 
10.1%
1 173
 
8.3%
2 125
 
6.0%
4 119
 
5.7%
5 111
 
5.3%
? 95
 
4.5%
3 26
 
1.2%
7 18
 
0.9%
Other values (2) 15
 
0.7%

의료기기영업신고일자
Text

Distinct81
Distinct (%)85.3%
Missing0
Missing (%)0.0%
Memory size892.0 B
2024-03-14T10:12:18.244911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters1045
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

Unique70 ?
Unique (%)73.7%

Sample

1st row?2011-01-21
2nd row?2011-01-21
3rd row?2011-01-26
4th row?2011-01-26
5th row?2011-02-01
ValueCountFrequency (%)
2011-03-21 3
 
3.2%
2008-11-25 3
 
3.2%
2008-11-28 3
 
3.2%
2010-10-13 2
 
2.1%
2017-02-13 2
 
2.1%
2011-04-10 2
 
2.1%
2011-02-23 2
 
2.1%
2005-08-19 2
 
2.1%
2016-12-16 2
 
2.1%
2011-01-26 2
 
2.1%
Other values (71) 72
75.8%
2024-03-14T10:12:18.584979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 230
22.0%
- 190
18.2%
1 181
17.3%
2 170
16.3%
? 95
9.1%
6 34
 
3.3%
5 31
 
3.0%
3 28
 
2.7%
8 28
 
2.7%
7 25
 
2.4%
Other values (2) 33
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 760
72.7%
Dash Punctuation 190
 
18.2%
Other Punctuation 95
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 230
30.3%
1 181
23.8%
2 170
22.4%
6 34
 
4.5%
5 31
 
4.1%
3 28
 
3.7%
8 28
 
3.7%
7 25
 
3.3%
4 17
 
2.2%
9 16
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 190
100.0%
Other Punctuation
ValueCountFrequency (%)
? 95
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1045
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 230
22.0%
- 190
18.2%
1 181
17.3%
2 170
16.3%
? 95
9.1%
6 34
 
3.3%
5 31
 
3.0%
3 28
 
2.7%
8 28
 
2.7%
7 25
 
2.4%
Other values (2) 33
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1045
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 230
22.0%
- 190
18.2%
1 181
17.3%
2 170
16.3%
? 95
9.1%
6 34
 
3.3%
5 31
 
3.0%
3 28
 
2.7%
8 28
 
2.7%
7 25
 
2.4%
Other values (2) 33
 
3.2%

영업구분
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size892.0 B
?의료기기수리업
95 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row?의료기기수리업
2nd row?의료기기수리업
3rd row?의료기기수리업
4th row?의료기기수리업
5th row?의료기기수리업

Common Values

ValueCountFrequency (%)
?의료기기수리업 95
100.0%

Length

2024-03-14T10:12:18.691992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:12:18.757318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의료기기수리업 95
100.0%

영업소명
Text

Distinct90
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Memory size892.0 B
2024-03-14T10:12:18.917106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length8.8526316
Min length4

Characters and Unicode

Total characters841
Distinct characters181
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

Unique85 ?
Unique (%)89.5%

Sample

1st row?아주의료기
2nd row?Austin Laser Service
3rd row?사랑재활사
4th row?케어 메디칼
5th row?이강아재활사
ValueCountFrequency (%)
정읍서비스센터 3
 
2.3%
의료기 3
 
2.3%
유한회사 3
 
2.3%
사랑재활사 2
 
1.6%
보건의료기 2
 
1.6%
조영식재활사 2
 
1.6%
전라재활사 2
 
1.6%
메디칼 2
 
1.6%
밧데리 2
 
1.6%
주)인포메디 2
 
1.6%
Other values (102) 105
82.0%
2024-03-14T10:12:19.231552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
? 95
 
11.3%
33
 
3.9%
기 30
 
3.6%
료 25
 
3.0%
의 25
 
3.0%
전 22
 
2.6%
주 22
 
2.6%
사 22
 
2.6%
스 21
 
2.5%
( 21
 
2.5%
Other values (171) 525
62.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 650
77.3%
Other Punctuation 95
 
11.3%
Space Separator 33
 
3.9%
Open Punctuation 21
 
2.5%
Close Punctuation 21
 
2.5%
Lowercase Letter 15
 
1.8%
Uppercase Letter 5
 
0.6%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 30
 
4.6%
료 25
 
3.8%
의 25
 
3.8%
전 22
 
3.4%
주 22
 
3.4%
사 22
 
3.4%
스 21
 
3.2%
서 17
 
2.6%
센 14
 
2.2%
비 14
 
2.2%
Other values (152) 438
67.4%
Lowercase Letter
ValueCountFrequency (%)
e 3
20.0%
s 2
13.3%
i 2
13.3%
r 2
13.3%
a 1
 
6.7%
c 1
 
6.7%
n 1
 
6.7%
t 1
 
6.7%
u 1
 
6.7%
v 1
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
L 2
40.0%
G 1
20.0%
S 1
20.0%
A 1
20.0%
Other Punctuation
ValueCountFrequency (%)
? 95
100.0%
Space Separator
ValueCountFrequency (%)
33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 650
77.3%
Common 171
 
20.3%
Latin 20
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 30
 
4.6%
료 25
 
3.8%
의 25
 
3.8%
전 22
 
3.4%
주 22
 
3.4%
사 22
 
3.4%
스 21
 
3.2%
서 17
 
2.6%
센 14
 
2.2%
비 14
 
2.2%
Other values (152) 438
67.4%
Latin
ValueCountFrequency (%)
e 3
15.0%
s 2
10.0%
i 2
10.0%
L 2
10.0%
r 2
10.0%
G 1
 
5.0%
a 1
 
5.0%
c 1
 
5.0%
S 1
 
5.0%
n 1
 
5.0%
Other values (4) 4
20.0%
Common
ValueCountFrequency (%)
? 95
55.6%
33
 
19.3%
( 21
 
12.3%
) 21
 
12.3%
1 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 650
77.3%
ASCII 191
 
22.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
? 95
49.7%
33
 
17.3%
( 21
 
11.0%
) 21
 
11.0%
e 3
 
1.6%
s 2
 
1.0%
i 2
 
1.0%
L 2
 
1.0%
r 2
 
1.0%
G 1
 
0.5%
Other values (9) 9
 
4.7%
Hangul
ValueCountFrequency (%)
기 30
 
4.6%
료 25
 
3.8%
의 25
 
3.8%
전 22
 
3.4%
주 22
 
3.4%
사 22
 
3.4%
스 21
 
3.2%
서 17
 
2.6%
센 14
 
2.2%
비 14
 
2.2%
Other values (152) 438
67.4%

영업소_소재지(지번)
Text

MISSING 

Distinct75
Distinct (%)92.6%
Missing14
Missing (%)14.7%
Memory size892.0 B
2024-03-14T10:12:19.390885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length38
Mean length26.765432
Min length18

Characters and Unicode

Total characters2168
Distinct characters123
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique70 ?
Unique (%)86.4%

Sample

1st row?전라북도 익산시 마동 70-1 우림@상가 105호
2nd row?전라북도 남원시 도통동 501번지 6호
3rd row?전라북도 전주시 완산구 삼천동1가 641번지 1호
4th row?전라북도 익산시 왕궁면 온수리 21번지 175호
5th row?전라북도 전주시 덕진구 금암동 457번지 12호
ValueCountFrequency (%)
전라북도 81
 
17.4%
전주시 45
 
9.7%
완산구 26
 
5.6%
덕진구 19
 
4.1%
익산시 13
 
2.8%
3호 11
 
2.4%
군산시 8
 
1.7%
1호 7
 
1.5%
5호 7
 
1.5%
중화산동2가 7
 
1.5%
Other values (168) 241
51.8%
2024-03-14T10:12:19.744601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
384
 
17.7%
전 128
 
5.9%
북 82
 
3.8%
도 82
 
3.8%
? 81
 
3.7%
라 81
 
3.7%
지 81
 
3.7%
시 77
 
3.6%
번 77
 
3.6%
동 77
 
3.6%
Other values (113) 1018
47.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1299
59.9%
Decimal Number 391
 
18.0%
Space Separator 384
 
17.7%
Other Punctuation 83
 
3.8%
Uppercase Letter 6
 
0.3%
Dash Punctuation 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 128
 
9.9%
북 82
 
6.3%
도 82
 
6.3%
라 81
 
6.2%
지 81
 
6.2%
시 77
 
5.9%
번 77
 
5.9%
동 77
 
5.9%
호 70
 
5.4%
산 55
 
4.2%
Other values (93) 489
37.6%
Decimal Number
ValueCountFrequency (%)
1 67
17.1%
2 58
14.8%
3 55
14.1%
5 50
12.8%
4 36
9.2%
7 31
7.9%
6 29
7.4%
8 28
7.2%
0 27
6.9%
9 10
 
2.6%
Uppercase Letter
ValueCountFrequency (%)
A 2
33.3%
L 1
16.7%
T 1
16.7%
P 1
16.7%
G 1
16.7%
Other Punctuation
ValueCountFrequency (%)
? 81
97.6%
, 1
 
1.2%
@ 1
 
1.2%
Space Separator
ValueCountFrequency (%)
384
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1299
59.9%
Common 863
39.8%
Latin 6
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 128
 
9.9%
북 82
 
6.3%
도 82
 
6.3%
라 81
 
6.2%
지 81
 
6.2%
시 77
 
5.9%
번 77
 
5.9%
동 77
 
5.9%
호 70
 
5.4%
산 55
 
4.2%
Other values (93) 489
37.6%
Common
ValueCountFrequency (%)
384
44.5%
? 81
 
9.4%
1 67
 
7.8%
2 58
 
6.7%
3 55
 
6.4%
5 50
 
5.8%
4 36
 
4.2%
7 31
 
3.6%
6 29
 
3.4%
8 28
 
3.2%
Other values (5) 44
 
5.1%
Latin
ValueCountFrequency (%)
A 2
33.3%
L 1
16.7%
T 1
16.7%
P 1
16.7%
G 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1299
59.9%
ASCII 869
40.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
384
44.2%
? 81
 
9.3%
1 67
 
7.7%
2 58
 
6.7%
3 55
 
6.3%
5 50
 
5.8%
4 36
 
4.1%
7 31
 
3.6%
6 29
 
3.3%
8 28
 
3.2%
Other values (10) 50
 
5.8%
Hangul
ValueCountFrequency (%)
전 128
 
9.9%
북 82
 
6.3%
도 82
 
6.3%
라 81
 
6.2%
지 81
 
6.2%
시 77
 
5.9%
번 77
 
5.9%
동 77
 
5.9%
호 70
 
5.4%
산 55
 
4.2%
Other values (93) 489
37.6%

영업소_소재지(도로명)
Text

MISSING 

Distinct83
Distinct (%)91.2%
Missing4
Missing (%)4.2%
Memory size892.0 B
2024-03-14T10:12:19.976351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length39
Mean length28.769231
Min length20

Characters and Unicode

Total characters2618
Distinct characters159
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

Unique77 ?
Unique (%)84.6%

Sample

1st row?전라북도 남원시 충정로 192 (도통동)
2nd row?전라북도 전주시 완산구 거마중앙로 26-1, 1 층 (삼천동1가)
3rd row?전라북도 익산시 왕궁면 왕궁로 146
4th row?전라북도 전주시 덕진구 태진로 139 (금암동)
5th row?전라북도 익산시 익산대로22길 42 (남중동)
ValueCountFrequency (%)
전라북도 91
 
16.8%
전주시 49
 
9.1%
완산구 27
 
5.0%
덕진구 22
 
4.1%
익산시 15
 
2.8%
층 13
 
2.4%
1 9
 
1.7%
군산시 8
 
1.5%
남중동 7
 
1.3%
금암동 6
 
1.1%
Other values (211) 294
54.3%
2024-03-14T10:12:20.313234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
450
 
17.2%
전 142
 
5.4%
북 95
 
3.6%
도 92
 
3.5%
? 91
 
3.5%
동 91
 
3.5%
1 91
 
3.5%
라 91
 
3.5%
시 87
 
3.3%
( 82
 
3.1%
Other values (149) 1306
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1494
57.1%
Space Separator 450
 
17.2%
Decimal Number 362
 
13.8%
Other Punctuation 119
 
4.5%
Open Punctuation 82
 
3.1%
Close Punctuation 82
 
3.1%
Dash Punctuation 26
 
1.0%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 142
 
9.5%
북 95
 
6.4%
도 92
 
6.2%
동 91
 
6.1%
라 91
 
6.1%
시 87
 
5.8%
로 72
 
4.8%
산 63
 
4.2%
주 51
 
3.4%
구 51
 
3.4%
Other values (130) 659
44.1%
Decimal Number
ValueCountFrequency (%)
1 91
25.1%
2 67
18.5%
4 42
11.6%
3 40
11.0%
0 26
 
7.2%
5 22
 
6.1%
6 21
 
5.8%
9 20
 
5.5%
8 19
 
5.2%
7 14
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
A 1
33.3%
P 1
33.3%
T 1
33.3%
Other Punctuation
ValueCountFrequency (%)
? 91
76.5%
, 28
 
23.5%
Space Separator
ValueCountFrequency (%)
450
100.0%
Open Punctuation
ValueCountFrequency (%)
( 82
100.0%
Close Punctuation
ValueCountFrequency (%)
) 82
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1494
57.1%
Common 1121
42.8%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 142
 
9.5%
북 95
 
6.4%
도 92
 
6.2%
동 91
 
6.1%
라 91
 
6.1%
시 87
 
5.8%
로 72
 
4.8%
산 63
 
4.2%
주 51
 
3.4%
구 51
 
3.4%
Other values (130) 659
44.1%
Common
ValueCountFrequency (%)
450
40.1%
? 91
 
8.1%
1 91
 
8.1%
( 82
 
7.3%
) 82
 
7.3%
2 67
 
6.0%
4 42
 
3.7%
3 40
 
3.6%
, 28
 
2.5%
- 26
 
2.3%
Other values (6) 122
 
10.9%
Latin
ValueCountFrequency (%)
A 1
33.3%
P 1
33.3%
T 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1494
57.1%
ASCII 1124
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
450
40.0%
? 91
 
8.1%
1 91
 
8.1%
( 82
 
7.3%
) 82
 
7.3%
2 67
 
6.0%
4 42
 
3.7%
3 40
 
3.6%
, 28
 
2.5%
- 26
 
2.3%
Other values (9) 125
 
11.1%
Hangul
ValueCountFrequency (%)
전 142
 
9.5%
북 95
 
6.4%
도 92
 
6.2%
동 91
 
6.1%
라 91
 
6.1%
시 87
 
5.8%
로 72
 
4.8%
산 63
 
4.2%
주 51
 
3.4%
구 51
 
3.4%
Other values (130) 659
44.1%

영업소_우편번호
Text

MISSING 

Distinct3
Distinct (%)75.0%
Missing91
Missing (%)95.8%
Memory size892.0 B
2024-03-14T10:12:20.429624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters32
Distinct characters10
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

Unique2 ?
Unique (%)50.0%

Sample

1st row?570-962
2nd row?560-913
3rd row?560-913
4th row?573-190
ValueCountFrequency (%)
560-913 2
50.0%
570-962 1
25.0%
573-190 1
25.0%
2024-03-14T10:12:20.671697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
? 4
12.5%
5 4
12.5%
0 4
12.5%
- 4
12.5%
9 4
12.5%
6 3
9.4%
1 3
9.4%
3 3
9.4%
7 2
6.2%
2 1
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24
75.0%
Other Punctuation 4
 
12.5%
Dash Punctuation 4
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 4
16.7%
0 4
16.7%
9 4
16.7%
6 3
12.5%
1 3
12.5%
3 3
12.5%
7 2
8.3%
2 1
 
4.2%
Other Punctuation
ValueCountFrequency (%)
? 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
? 4
12.5%
5 4
12.5%
0 4
12.5%
- 4
12.5%
9 4
12.5%
6 3
9.4%
1 3
9.4%
3 3
9.4%
7 2
6.2%
2 1
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
? 4
12.5%
5 4
12.5%
0 4
12.5%
- 4
12.5%
9 4
12.5%
6 3
9.4%
1 3
9.4%
3 3
9.4%
7 2
6.2%
2 1
 
3.1%

영업소_전화번호
Text

MISSING 

Distinct72
Distinct (%)96.0%
Missing20
Missing (%)21.1%
Memory size892.0 B
2024-03-14T10:12:20.860145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.946667
Min length9

Characters and Unicode

Total characters971
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

Unique70 ?
Unique (%)93.3%

Sample

1st row?063-857-5885
2nd row?063-229-1392
3rd row?063-283-1117
4th row?063-286-0122
5th row?063-843-8981
ValueCountFrequency (%)
063-533-7777 3
 
4.0%
063-283-1742 2
 
2.7%
063-445-8451 1
 
1.3%
063-222-2597 1
 
1.3%
063-466-2257 1
 
1.3%
063-211-0032 1
 
1.3%
063-851-3919 1
 
1.3%
063-214-3185 1
 
1.3%
063-857-5885 1
 
1.3%
063-273-1005 1
 
1.3%
Other values (62) 62
82.7%
2024-03-14T10:12:21.173600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 149
15.3%
3 134
13.8%
6 117
12.0%
0 107
11.0%
2 98
10.1%
? 74
7.6%
5 69
7.1%
7 62
6.4%
1 49
 
5.0%
8 46
 
4.7%
Other values (2) 66
6.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 748
77.0%
Dash Punctuation 149
 
15.3%
Other Punctuation 74
 
7.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 134
17.9%
6 117
15.6%
0 107
14.3%
2 98
13.1%
5 69
9.2%
7 62
8.3%
1 49
 
6.6%
8 46
 
6.1%
4 42
 
5.6%
9 24
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 149
100.0%
Other Punctuation
ValueCountFrequency (%)
? 74
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 971
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 149
15.3%
3 134
13.8%
6 117
12.0%
0 107
11.0%
2 98
10.1%
? 74
7.6%
5 69
7.1%
7 62
6.4%
1 49
 
5.0%
8 46
 
4.7%
Other values (2) 66
6.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 971
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 149
15.3%
3 134
13.8%
6 117
12.0%
0 107
11.0%
2 98
10.1%
? 74
7.6%
5 69
7.1%
7 62
6.4%
1 49
 
5.0%
8 46
 
4.7%
Other values (2) 66
6.8%

대표자명
Text

Distinct89
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Memory size892.0 B
2024-03-14T10:12:21.411479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.9894737
Min length3

Characters and Unicode

Total characters379
Distinct characters98
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique85 ?
Unique (%)89.5%

Sample

1st row?유종진
2nd row?임성곤
3rd row?김정민
4th row?송호진
5th row?이강아
ValueCountFrequency (%)
허경봉 4
 
4.2%
조영식 2
 
2.1%
박경만 2
 
2.1%
김효범 2
 
2.1%
송호용 1
 
1.1%
김상용 1
 
1.1%
양민기 1
 
1.1%
최은하 1
 
1.1%
유한봉 1
 
1.1%
김기남 1
 
1.1%
Other values (79) 79
83.2%
2024-03-14T10:12:21.736374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
? 95
25.1%
김 21
 
5.5%
이 11
 
2.9%
영 10
 
2.6%
경 9
 
2.4%
박 8
 
2.1%
진 7
 
1.8%
정 7
 
1.8%
한 7
 
1.8%
용 6
 
1.6%
Other values (88) 198
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 284
74.9%
Other Punctuation 95
 
25.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 21
 
7.4%
이 11
 
3.9%
영 10
 
3.5%
경 9
 
3.2%
박 8
 
2.8%
진 7
 
2.5%
정 7
 
2.5%
한 7
 
2.5%
용 6
 
2.1%
최 6
 
2.1%
Other values (87) 192
67.6%
Other Punctuation
ValueCountFrequency (%)
? 95
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 284
74.9%
Common 95
 
25.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 21
 
7.4%
이 11
 
3.9%
영 10
 
3.5%
경 9
 
3.2%
박 8
 
2.8%
진 7
 
2.5%
정 7
 
2.5%
한 7
 
2.5%
용 6
 
2.1%
최 6
 
2.1%
Other values (87) 192
67.6%
Common
ValueCountFrequency (%)
? 95
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 284
74.9%
ASCII 95
 
25.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
? 95
100.0%
Hangul
ValueCountFrequency (%)
김 21
 
7.4%
이 11
 
3.9%
영 10
 
3.5%
경 9
 
3.2%
박 8
 
2.8%
진 7
 
2.5%
정 7
 
2.5%
한 7
 
2.5%
용 6
 
2.1%
최 6
 
2.1%
Other values (87) 192
67.6%

수리대상의료기기의유형
Text

Distinct63
Distinct (%)66.3%
Missing0
Missing (%)0.0%
Memory size892.0 B
2024-03-14T10:12:22.024104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length23
Mean length15.242105
Min length2

Characters and Unicode

Total characters1448
Distinct characters131
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique53 ?
Unique (%)55.8%

Sample

1st row?전동휠체어, 전동스쿠터
2nd row?피부과용 제모레이저
3rd row?전동 휠체어, 전동 스쿠터, 수동 휠체어
4th row?전동스쿠터, 전동휠체어
5th row?전동스쿠터, 전동휠체어, 휠체어
ValueCountFrequency (%)
전동휠체어 31
 
13.3%
전동스쿠터 30
 
12.9%
수동휠체어 13
 
5.6%
의료용 9
 
3.9%
환자운반차 9
 
3.9%
정형용기기 9
 
3.9%
휠체어 7
 
3.0%
보청기 7
 
3.0%
스쿠터 4
 
1.7%
의료용물질생성기 4
 
1.7%
Other values (93) 110
47.2%
2024-03-14T10:12:22.373396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
138
 
9.5%
, 97
 
6.7%
동 96
 
6.6%
? 95
 
6.6%
기 85
 
5.9%
전 79
 
5.5%
체 67
 
4.6%
어 62
 
4.3%
휠 60
 
4.1%
용 43
 
3.0%
Other values (121) 626
43.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1077
74.4%
Other Punctuation 193
 
13.3%
Space Separator 138
 
9.5%
Decimal Number 13
 
0.9%
Lowercase Letter 9
 
0.6%
Close Punctuation 7
 
0.5%
Open Punctuation 7
 
0.5%
Uppercase Letter 3
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 96
 
8.9%
기 85
 
7.9%
전 79
 
7.3%
체 67
 
6.2%
어 62
 
5.8%
휠 60
 
5.6%
용 43
 
4.0%
터 41
 
3.8%
쿠 41
 
3.8%
스 41
 
3.8%
Other values (96) 462
42.9%
Decimal Number
ValueCountFrequency (%)
0 5
38.5%
1 2
 
15.4%
7 1
 
7.7%
4 1
 
7.7%
9 1
 
7.7%
3 1
 
7.7%
6 1
 
7.7%
8 1
 
7.7%
Lowercase Letter
ValueCountFrequency (%)
i 2
22.2%
a 2
22.2%
g 1
11.1%
t 1
11.1%
l 1
11.1%
r 1
11.1%
y 1
11.1%
Other Punctuation
ValueCountFrequency (%)
, 97
50.3%
? 95
49.2%
· 1
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
D 1
33.3%
X 1
33.3%
A 1
33.3%
Space Separator
ValueCountFrequency (%)
138
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1077
74.4%
Common 359
 
24.8%
Latin 12
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 96
 
8.9%
기 85
 
7.9%
전 79
 
7.3%
체 67
 
6.2%
어 62
 
5.8%
휠 60
 
5.6%
용 43
 
4.0%
터 41
 
3.8%
쿠 41
 
3.8%
스 41
 
3.8%
Other values (96) 462
42.9%
Common
ValueCountFrequency (%)
138
38.4%
, 97
27.0%
? 95
26.5%
) 7
 
1.9%
( 7
 
1.9%
0 5
 
1.4%
1 2
 
0.6%
· 1
 
0.3%
7 1
 
0.3%
4 1
 
0.3%
Other values (5) 5
 
1.4%
Latin
ValueCountFrequency (%)
i 2
16.7%
a 2
16.7%
D 1
8.3%
g 1
8.3%
t 1
8.3%
l 1
8.3%
X 1
8.3%
r 1
8.3%
y 1
8.3%
A 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1077
74.4%
ASCII 370
 
25.6%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
138
37.3%
, 97
26.2%
? 95
25.7%
) 7
 
1.9%
( 7
 
1.9%
0 5
 
1.4%
i 2
 
0.5%
a 2
 
0.5%
1 2
 
0.5%
D 1
 
0.3%
Other values (14) 14
 
3.8%
Hangul
ValueCountFrequency (%)
동 96
 
8.9%
기 85
 
7.9%
전 79
 
7.3%
체 67
 
6.2%
어 62
 
5.8%
휠 60
 
5.6%
용 43
 
4.0%
터 41
 
3.8%
쿠 41
 
3.8%
스 41
 
3.8%
Other values (96) 462
42.9%
None
ValueCountFrequency (%)
· 1
100.0%

다른겸업여부
Categorical

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size892.0 B
?Y
71 
?N
24 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row?Y
2nd row?N
3rd row?Y
4th row?N
5th row?Y

Common Values

ValueCountFrequency (%)
?Y 71
74.7%
?N 24
 
25.3%

Length

2024-03-14T10:12:22.478901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:12:22.554605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 71
74.7%
n 24
 
25.3%

비고
Text

MISSING 

Distinct42
Distinct (%)72.4%
Missing37
Missing (%)38.9%
Memory size892.0 B
2024-03-14T10:12:22.752043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length34
Mean length14.344828
Min length4

Characters and Unicode

Total characters832
Distinct characters111
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

Unique35 ?
Unique (%)60.3%

Sample

1st row?의료기기 판매업
2nd row?의료기기 판매업
3rd row?의지보조기, 장애인용품
4th row?수입업, 판매업
5th row?의료기기 판매업소
ValueCountFrequency (%)
판매업 14
 
9.3%
의료기기 12
 
8.0%
의료기기판매업 7
 
4.7%
민원 7
 
4.7%
수리 6
 
4.0%
겸업 5
 
3.3%
전동휠체어 5
 
3.3%
전동스쿠터 5
 
3.3%
의하여 4
 
2.7%
lg전자 4
 
2.7%
Other values (69) 81
54.0%
2024-03-14T10:12:23.068238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
92
 
11.1%
? 58
 
7.0%
기 53
 
6.4%
업 44
 
5.3%
매 35
 
4.2%
판 32
 
3.8%
의 32
 
3.8%
료 25
 
3.0%
, 21
 
2.5%
2 21
 
2.5%
Other values (101) 419
50.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 518
62.3%
Other Punctuation 97
 
11.7%
Decimal Number 95
 
11.4%
Space Separator 92
 
11.1%
Close Punctuation 10
 
1.2%
Open Punctuation 10
 
1.2%
Uppercase Letter 8
 
1.0%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 53
 
10.2%
업 44
 
8.5%
매 35
 
6.8%
판 32
 
6.2%
의 32
 
6.2%
료 25
 
4.8%
전 19
 
3.7%
제 14
 
2.7%
리 14
 
2.7%
수 13
 
2.5%
Other values (80) 237
45.8%
Decimal Number
ValueCountFrequency (%)
2 21
22.1%
7 18
18.9%
1 17
17.9%
0 11
11.6%
5 8
 
8.4%
3 7
 
7.4%
8 4
 
4.2%
4 4
 
4.2%
9 3
 
3.2%
6 2
 
2.1%
Other Punctuation
ValueCountFrequency (%)
? 58
59.8%
, 21
 
21.6%
. 16
 
16.5%
' 1
 
1.0%
: 1
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
G 4
50.0%
L 4
50.0%
Space Separator
ValueCountFrequency (%)
92
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 518
62.3%
Common 306
36.8%
Latin 8
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 53
 
10.2%
업 44
 
8.5%
매 35
 
6.8%
판 32
 
6.2%
의 32
 
6.2%
료 25
 
4.8%
전 19
 
3.7%
제 14
 
2.7%
리 14
 
2.7%
수 13
 
2.5%
Other values (80) 237
45.8%
Common
ValueCountFrequency (%)
92
30.1%
? 58
19.0%
, 21
 
6.9%
2 21
 
6.9%
7 18
 
5.9%
1 17
 
5.6%
. 16
 
5.2%
0 11
 
3.6%
) 10
 
3.3%
( 10
 
3.3%
Other values (9) 32
 
10.5%
Latin
ValueCountFrequency (%)
G 4
50.0%
L 4
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 518
62.3%
ASCII 314
37.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
92
29.3%
? 58
18.5%
, 21
 
6.7%
2 21
 
6.7%
7 18
 
5.7%
1 17
 
5.4%
. 16
 
5.1%
0 11
 
3.5%
) 10
 
3.2%
( 10
 
3.2%
Other values (11) 40
12.7%
Hangul
ValueCountFrequency (%)
기 53
 
10.2%
업 44
 
8.5%
매 35
 
6.8%
판 32
 
6.2%
의 32
 
6.2%
료 25
 
4.8%
전 19
 
3.7%
제 14
 
2.7%
리 14
 
2.7%
수 13
 
2.5%
Other values (80) 237
45.8%

휴업예정시작일자
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing93
Missing (%)97.9%
Memory size892.0 B
2024-03-14T10:12:23.177885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters22
Distinct characters8
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

Unique2 ?
Unique (%)100.0%

Sample

1st row?2015-11-17
2nd row?2017-01-09
ValueCountFrequency (%)
2015-11-17 1
50.0%
2017-01-09 1
50.0%
2024-03-14T10:12:23.361404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 6
27.3%
0 4
18.2%
- 4
18.2%
? 2
 
9.1%
2 2
 
9.1%
7 2
 
9.1%
5 1
 
4.5%
9 1
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16
72.7%
Dash Punctuation 4
 
18.2%
Other Punctuation 2
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 6
37.5%
0 4
25.0%
2 2
 
12.5%
7 2
 
12.5%
5 1
 
6.2%
9 1
 
6.2%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Punctuation
ValueCountFrequency (%)
? 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 6
27.3%
0 4
18.2%
- 4
18.2%
? 2
 
9.1%
2 2
 
9.1%
7 2
 
9.1%
5 1
 
4.5%
9 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 6
27.3%
0 4
18.2%
- 4
18.2%
? 2
 
9.1%
2 2
 
9.1%
7 2
 
9.1%
5 1
 
4.5%
9 1
 
4.5%

휴업예정종료일자
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing93
Missing (%)97.9%
Memory size892.0 B
2024-03-14T10:12:23.468856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters22
Distinct characters7
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

Unique2 ?
Unique (%)100.0%

Sample

1st row?2020-01-26
2nd row?2020-11-30
ValueCountFrequency (%)
2020-01-26 1
50.0%
2020-11-30 1
50.0%
2024-03-14T10:12:23.669924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6
27.3%
2 5
22.7%
- 4
18.2%
1 3
13.6%
? 2
 
9.1%
6 1
 
4.5%
3 1
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16
72.7%
Dash Punctuation 4
 
18.2%
Other Punctuation 2
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6
37.5%
2 5
31.2%
1 3
18.8%
6 1
 
6.2%
3 1
 
6.2%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Punctuation
ValueCountFrequency (%)
? 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6
27.3%
2 5
22.7%
- 4
18.2%
1 3
13.6%
? 2
 
9.1%
6 1
 
4.5%
3 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6
27.3%
2 5
22.7%
- 4
18.2%
1 3
13.6%
? 2
 
9.1%
6 1
 
4.5%
3 1
 
4.5%

폐업일자
Text

MISSING 

Distinct10
Distinct (%)90.9%
Missing84
Missing (%)88.4%
Memory size892.0 B
2024-03-14T10:12:23.799263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters121
Distinct characters10
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

Unique9 ?
Unique (%)81.8%

Sample

1st row?2015-10-15
2nd row?2015-10-14
3rd row?2015-12-11
4th row?2015-11-05
5th row?2012-03-16
ValueCountFrequency (%)
2017-02-03 2
18.2%
2015-10-15 1
9.1%
2015-10-14 1
9.1%
2015-12-11 1
9.1%
2015-11-05 1
9.1%
2012-03-16 1
9.1%
2017-01-03 1
9.1%
2016-06-20 1
9.1%
2017-07-05 1
9.1%
2017-01-12 1
9.1%
2024-03-14T10:12:24.089292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 26
21.5%
1 24
19.8%
- 22
18.2%
2 17
14.0%
? 11
9.1%
5 7
 
5.8%
7 6
 
5.0%
3 4
 
3.3%
6 3
 
2.5%
4 1
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 88
72.7%
Dash Punctuation 22
 
18.2%
Other Punctuation 11
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 26
29.5%
1 24
27.3%
2 17
19.3%
5 7
 
8.0%
7 6
 
6.8%
3 4
 
4.5%
6 3
 
3.4%
4 1
 
1.1%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Other Punctuation
ValueCountFrequency (%)
? 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 121
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 26
21.5%
1 24
19.8%
- 22
18.2%
2 17
14.0%
? 11
9.1%
5 7
 
5.8%
7 6
 
5.0%
3 4
 
3.3%
6 3
 
2.5%
4 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 121
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 26
21.5%
1 24
19.8%
- 22
18.2%
2 17
14.0%
? 11
9.1%
5 7
 
5.8%
7 6
 
5.0%
3 4
 
3.3%
6 3
 
2.5%
4 1
 
0.8%

영업재개일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing95
Missing (%)100.0%
Memory size987.0 B

과거신고번호
Text

MISSING 

Distinct28
Distinct (%)96.6%
Missing66
Missing (%)69.5%
Memory size892.0 B
2024-03-14T10:12:24.273233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.2758621
Min length2

Characters and Unicode

Total characters95
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)93.1%

Sample

1st row?41
2nd row?703
3rd row?765
4th row?11
5th row?289
ValueCountFrequency (%)
765 2
 
6.9%
65 1
 
3.4%
62 1
 
3.4%
10 1
 
3.4%
3 1
 
3.4%
4 1
 
3.4%
778 1
 
3.4%
12 1
 
3.4%
21 1
 
3.4%
22 1
 
3.4%
Other values (18) 18
62.1%
2024-03-14T10:12:24.673669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
? 29
30.5%
6 9
 
9.5%
2 9
 
9.5%
7 8
 
8.4%
1 8
 
8.4%
8 7
 
7.4%
3 6
 
6.3%
5 5
 
5.3%
0 4
 
4.2%
9 4
 
4.2%
Other values (3) 6
 
6.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 64
67.4%
Other Punctuation 29
30.5%
Other Letter 2
 
2.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 9
14.1%
2 9
14.1%
7 8
12.5%
1 8
12.5%
8 7
10.9%
3 6
9.4%
5 5
7.8%
0 4
6.2%
9 4
6.2%
4 4
6.2%
Other Letter
ValueCountFrequency (%)
제 1
50.0%
호 1
50.0%
Other Punctuation
ValueCountFrequency (%)
? 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 93
97.9%
Hangul 2
 
2.1%

Most frequent character per script

Common
ValueCountFrequency (%)
? 29
31.2%
6 9
 
9.7%
2 9
 
9.7%
7 8
 
8.6%
1 8
 
8.6%
8 7
 
7.5%
3 6
 
6.5%
5 5
 
5.4%
0 4
 
4.3%
9 4
 
4.3%
Hangul
ValueCountFrequency (%)
제 1
50.0%
호 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 93
97.9%
Hangul 2
 
2.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
? 29
31.2%
6 9
 
9.7%
2 9
 
9.7%
7 8
 
8.6%
1 8
 
8.6%
8 7
 
7.5%
3 6
 
6.5%
5 5
 
5.4%
0 4
 
4.3%
9 4
 
4.3%
Hangul
ValueCountFrequency (%)
제 1
50.0%
호 1
50.0%

Correlations

2024-03-14T10:12:24.821252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의료기기영업신고번호의료기기영업신고일자영업소명영업소_소재지(지번)영업소_소재지(도로명)영업소_우편번호영업소_전화번호대표자명수리대상의료기기의유형다른겸업여부비고휴업예정시작일자휴업예정종료일자폐업일자과거신고번호
의료기기영업신고번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0000.0000.0001.0001.000
의료기기영업신고일자1.0001.0000.9960.9010.9181.0000.9950.9990.9800.0000.9880.0000.0001.0001.000
영업소명1.0000.9961.0000.9950.9911.0000.9980.9960.9711.0000.9970.0000.0001.0001.000
영업소_소재지(지번)1.0000.9010.9951.0001.0001.0001.0000.9730.9850.0001.0000.0000.0000.9701.000
영업소_소재지(도로명)1.0000.9180.9911.0001.000NaN1.0000.9890.9840.0000.9900.0000.0000.9771.000
영업소_우편번호1.0001.0001.0001.000NaN1.0001.0001.0000.8270.0001.000NaNNaNNaNNaN
영업소_전화번호1.0000.9950.9981.0001.0001.0001.0000.9990.9830.2780.9860.0000.0000.9641.000
대표자명1.0000.9990.9960.9730.9891.0000.9991.0000.9841.0000.9820.0000.0001.0001.000
수리대상의료기기의유형1.0000.9800.9710.9850.9840.8270.9830.9841.0000.5500.9600.0000.0001.0000.948
다른겸업여부1.0000.0001.0000.0000.0000.0000.2781.0000.5501.0001.000NaNNaN1.0001.000
비고1.0000.9880.9971.0000.9901.0000.9860.9820.9601.0001.000NaNNaN1.0001.000
휴업예정시작일자0.0000.0000.0000.0000.000NaN0.0000.0000.000NaNNaN1.0000.000NaN0.000
휴업예정종료일자0.0000.0000.0000.0000.000NaN0.0000.0000.000NaNNaN0.0001.000NaN0.000
폐업일자1.0001.0001.0000.9700.977NaN0.9641.0001.0001.0001.000NaNNaN1.0001.000
과거신고번호1.0001.0001.0001.0001.000NaN1.0001.0000.9481.0001.0000.0000.0001.0001.000

Missing values

2024-03-14T10:12:17.109961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T10:12:17.296470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2024-03-14T10:12:17.510180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

의료기기영업신고번호의료기기영업신고일자영업구분영업소명영업소_소재지(지번)영업소_소재지(도로명)영업소_우편번호영업소_전화번호대표자명수리대상의료기기의유형다른겸업여부비고휴업예정시작일자휴업예정종료일자폐업일자영업재개일자과거신고번호
0?2011-6450000-60-00001?2011-01-21?의료기기수리업?아주의료기?전라북도 익산시 마동 70-1 우림@상가 105호<NA>?570-962?063-857-5885?유종진?전동휠체어, 전동스쿠터?Y?의료기기 판매업<NA><NA><NA><NA><NA>
1?2011-6450000-60-00002?2011-01-21?의료기기수리업?Austin Laser Service?전라북도 남원시 도통동 501번지 6호?전라북도 남원시 충정로 192 (도통동)<NA><NA>?임성곤?피부과용 제모레이저?N<NA><NA><NA>?2015-10-15<NA><NA>
2?2011-6450000-60-00003?2011-01-26?의료기기수리업?사랑재활사?전라북도 전주시 완산구 삼천동1가 641번지 1호?전라북도 전주시 완산구 거마중앙로 26-1, 1 층 (삼천동1가)<NA>?063-229-1392?김정민?전동 휠체어, 전동 스쿠터, 수동 휠체어?Y?의료기기 판매업<NA><NA>?2015-10-14<NA><NA>
3?2011-6450000-60-00004?2011-01-26?의료기기수리업?케어 메디칼?전라북도 익산시 왕궁면 온수리 21번지 175호?전라북도 익산시 왕궁면 왕궁로 146<NA>?063-283-1117?송호진?전동스쿠터, 전동휠체어?N<NA><NA><NA><NA><NA><NA>
4?2011-6450000-60-00005?2011-02-01?의료기기수리업?이강아재활사?전라북도 전주시 덕진구 금암동 457번지 12호?전라북도 전주시 덕진구 태진로 139 (금암동)<NA>?063-286-0122?이강아?전동스쿠터, 전동휠체어, 휠체어?Y?의지보조기, 장애인용품<NA><NA><NA><NA><NA>
5?2011-6450000-60-00006?2009-07-31?의료기기수리업?대신케어마트?전라북도 익산시 남중동 174번지 5호?전라북도 익산시 익산대로22길 42 (남중동)<NA>?063-843-8981?전소라?환자운반차?Y?수입업, 판매업<NA><NA>?2015-12-11<NA>?41
6?2011-6450000-60-00007?2005-07-07?의료기기수리업?익산 한빛 치과재료상사?전라북도 익산시 남중동 288번지 13호?전라북도 익산시 선화로31길 28-1 (남중동)<NA>?063-853-5060?이석규?0?N<NA><NA><NA><NA><NA>?703
7?2011-6450000-60-00008?2005-08-19?의료기기수리업?(주)인포메디?전라북도 전주시 덕진구 팔복동3가 422번지 중소기업진흥공단아파트형공장 403 1?전라북도 전주시 덕진구 팔과정로 20, 403동 1호 (팔복동3가,중소기업진흥공단아파트형공장)<NA>?063-213-5321?김효범?0?N<NA><NA><NA><NA><NA>?765
8?2011-6450000-60-00009?2008-07-04?의료기기수리업?(유)희망케어?전라북도 전주시 완산구 평화동2가 856번지 2호?전라북도 전주시 완산구 평화14길 23 (평화동2가)<NA>?063-212-6008?오은록?환자운반차외 9건?N<NA><NA><NA><NA><NA>?11
9?2011-6450000-60-00010?2005-05-02?의료기기수리업?(유)호성양행?전라북도 전주시 덕진구 성덕동 156번지 3호?전라북도 전주시 덕진구 대정길 21-1 (성덕동)<NA><NA>?최용수?진료대 등 40종?N<NA><NA><NA><NA><NA>?289
의료기기영업신고번호의료기기영업신고일자영업구분영업소명영업소_소재지(지번)영업소_소재지(도로명)영업소_우편번호영업소_전화번호대표자명수리대상의료기기의유형다른겸업여부비고휴업예정시작일자휴업예정종료일자폐업일자영업재개일자과거신고번호
85?2017-6450000-60-00002?2017-02-07?의료기기수리업?청솔메디칼?전라북도 전주시 덕진구 우아동3가 746번지 55호?전라북도 전주시 덕진구 우아2길 23-1 (우아동3가)<NA>?063-255-0778?하재성?재활물리치료기,진단용기기,수술관련기기?Y?전라북도 진안군 성수면 좌포리 1431번지<NA><NA><NA><NA><NA>
86?2017-6450000-60-00003?2017-02-13?의료기기수리업?유한회사 남원서비스센터?전라북도 남원시 왕정동 38번지 LG전자서비스센터 2층?전라북도 남원시 의총로 99 (왕정동)<NA>?063-633-7777?허경봉?정형용기,의료용물질생성기?Y?민원 제708호('17.3.2), 상호 유한회사 남원써비스센터<NA><NA><NA><NA><NA>
87?2017-6450000-60-00004?2017-02-13?의료기기수리업?유한회사 정읍서비스센터<NA>?전라북도 정읍시 명덕로 59-4 (연지동)<NA>?063-533-7777?허경봉?정형용기,의료용물질생성기?Y?민원제709호(2017.2.2호 관련), 법인명 유한회사 정읍서비스센터<NA><NA><NA><NA><NA>
88?2017-6450000-60-00005?2017-02-15?의료기기수리업?보건의료기?전라북도 전주시 덕진구 금암동 545번지 36호?전라북도 전주시 덕진구 권삼득로 205 (금암동)<NA><NA>?김사례?장애인 전동차?Y<NA><NA><NA><NA><NA><NA>
89?2017-6450000-60-00006?2017-02-27?의료기기수리업?전주벨톤보청기<NA>?전라북도 전주시 덕진구 견훤로 393 (인후동2가)<NA>?063-242-8222?김성열?보청기?Y?민원 제1285호,2017.2.22 관련<NA><NA><NA><NA><NA>
90?2017-6450000-60-00007?2017-03-22?의료기기수리업?조이메디칼?전라북도 전주시 완산구 중화산동2가 1번지 2호?전라북도 전주시 완산구 어은로 61, 2 층 (중화산동2가)<NA>?063-288-8275?노선숙?피부레이저 기기,비만레이저 기기, 기타 피부 관련 장비?Y?민원 제1873호 2017. 3. 15 관련<NA><NA><NA><NA><NA>
91?2017-6450000-60-00008?2017-05-12?의료기기수리업?진안 자전거 협동조합<NA>?전라북도 진안군 진안읍 진용로 31<NA><NA>?신귀종?휠체어, 전동휠체어,전동스쿠터?Y?민원 제3295호(2017.5.1) 접수에 의하여 신고 수리<NA><NA><NA><NA><NA>
92?2017-6450000-60-00009?2017-05-16?의료기기수리업?(사)전북지체장애인협회 남원시지회<NA>?전라북도 남원시 의총로 92, 2 층 (하정동)<NA><NA>?양홍석?전동스쿠터,전동휠체어?N?민원 제3227호(2017.4.27)에 의하여 수리 처리<NA><NA><NA><NA><NA>
93?2017-6450000-60-00010?2017-07-28?의료기기수리업?장수의료기<NA>?전라북도 장수군 장수읍 시장로 11<NA>?063-351-3415?길도영?전동휠체어,수동휠체어,전동스쿠터(환자운반차)?Y?민원 제7015호(2017.7.19)에 의하여 수리 처리,판매업 겸업<NA><NA><NA><NA><NA>
94?2017-6450000-60-00011?2017-08-03?의료기기수리업?보건의료기?전라북도 전주시 덕진구 금암동 545번지 36호?전라북도 전주시 덕진구 권삼득로 205 (금암동)<NA><NA>?강종희?장애인전동차,환자운반차?Y?민원 제7452호(2017.8.2)에 의하여 의료기기 수리업 신고 수리<NA><NA><NA><NA><NA>