Overview

Dataset statistics

Number of variables11
Number of observations64
Missing cells36
Missing cells (%)5.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.8 KiB
Average record size in memory92.0 B

Variable types

Text5
DateTime2
Categorical1
Numeric2
Boolean1

Dataset

Description전북특별자치도 전주시 내 의료기기수리업을 제공하며, 사업장명, 인허가일자, 상세영업상태, 전화번호 등을 제공합니다.의료기기를 수리하는 업소항목 : 사업장명, 인허가일자, 상세영업상태, 전화번호, 도로명주소, 지번주소 등담당부서 : 보건행정과
Author전북특별자치도 전주시
URLhttps://www.data.go.kr/data/15102191/fileData.do

Alerts

상세영업상태명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
소재지전화 has 18 (28.1%) missing valuesMissing
수리대상 의료기기의 유형 has 9 (14.1%) missing valuesMissing
다른 겸업 여부 has 9 (14.1%) missing valuesMissing

Reproduction

Analysis started2024-03-14 10:32:59.929904
Analysis finished2024-03-14 10:33:03.372579
Duration3.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업장명
Text

Distinct60
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size640.0 B
2024-03-14T19:33:04.129184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length7.203125
Min length4

Characters and Unicode

Total characters461
Distinct characters138
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)87.5%

Sample

1st row(사)전북지체장애인협회 전주시지회
2nd row(사)전주시 장애인 정보교환센타
3rd row(유)랩스타
4th row(유)제이엘메디칼
5th row(유)호성양행
ValueCountFrequency (%)
효도의료기 2
 
2.7%
비사벌약품(주 2
 
2.7%
주)인포메디 2
 
2.7%
이강아재활사 2
 
2.7%
lg전자 2
 
2.7%
우리들 1
 
1.3%
이원의료기 1
 
1.3%
유한회사세유 1
 
1.3%
세유 1
 
1.3%
유한회사 1
 
1.3%
Other values (60) 60
80.0%
2024-03-14T19:33:05.484590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 24
 
5.2%
전 19
 
4.1%
기 18
 
3.9%
) 17
 
3.7%
( 17
 
3.7%
사 16
 
3.5%
메 14
 
3.0%
디 13
 
2.8%
의 12
 
2.6%
11
 
2.4%
Other values (128) 300
65.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 402
87.2%
Close Punctuation 17
 
3.7%
Open Punctuation 17
 
3.7%
Space Separator 11
 
2.4%
Lowercase Letter 7
 
1.5%
Uppercase Letter 6
 
1.3%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 24
 
6.0%
전 19
 
4.7%
기 18
 
4.5%
사 16
 
4.0%
메 14
 
3.5%
디 13
 
3.2%
의 12
 
3.0%
료 11
 
2.7%
보 10
 
2.5%
스 9
 
2.2%
Other values (115) 256
63.7%
Lowercase Letter
ValueCountFrequency (%)
l 2
28.6%
e 2
28.6%
u 1
14.3%
h 1
14.3%
s 1
14.3%
Uppercase Letter
ValueCountFrequency (%)
L 2
33.3%
G 2
33.3%
W 1
16.7%
P 1
16.7%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 402
87.2%
Common 46
 
10.0%
Latin 13
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 24
 
6.0%
전 19
 
4.7%
기 18
 
4.5%
사 16
 
4.0%
메 14
 
3.5%
디 13
 
3.2%
의 12
 
3.0%
료 11
 
2.7%
보 10
 
2.5%
스 9
 
2.2%
Other values (115) 256
63.7%
Latin
ValueCountFrequency (%)
L 2
15.4%
G 2
15.4%
l 2
15.4%
e 2
15.4%
u 1
7.7%
W 1
7.7%
h 1
7.7%
P 1
7.7%
s 1
7.7%
Common
ValueCountFrequency (%)
) 17
37.0%
( 17
37.0%
11
23.9%
1 1
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 402
87.2%
ASCII 59
 
12.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 24
 
6.0%
전 19
 
4.7%
기 18
 
4.5%
사 16
 
4.0%
메 14
 
3.5%
디 13
 
3.2%
의 12
 
3.0%
료 11
 
2.7%
보 10
 
2.5%
스 9
 
2.2%
Other values (115) 256
63.7%
ASCII
ValueCountFrequency (%)
) 17
28.8%
( 17
28.8%
11
18.6%
L 2
 
3.4%
G 2
 
3.4%
l 2
 
3.4%
e 2
 
3.4%
u 1
 
1.7%
W 1
 
1.7%
h 1
 
1.7%
Other values (3) 3
 
5.1%

인허가일자
Date

Distinct60
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size640.0 B
Minimum2005-05-02 00:00:00
Maximum2022-05-25 00:00:00
2024-03-14T19:33:05.895473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:33:06.334298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

상세영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size640.0 B
영업중
64 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 64
100.0%

Length

2024-03-14T19:33:06.746540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:33:07.058021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 64
100.0%

소재지전화
Text

MISSING 

Distinct46
Distinct (%)100.0%
Missing18
Missing (%)28.1%
Memory size640.0 B
2024-03-14T19:33:07.899402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters552
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)100.0%

Sample

1st row063-228-7347
2nd row063-283-6633
3rd row063-245-6501
4th row063-236-8375
5th row063-212-6008
ValueCountFrequency (%)
063-714-3691 1
 
2.2%
063-275-0677 1
 
2.2%
063-274-6627 1
 
2.2%
063-237-0521 1
 
2.2%
063-901-5892 1
 
2.2%
063-901-8879 1
 
2.2%
063-236-8400 1
 
2.2%
063-211-0032 1
 
2.2%
063-253-1660 1
 
2.2%
063-286-0122 1
 
2.2%
Other values (36) 36
78.3%
2024-03-14T19:33:09.180441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 92
16.7%
2 86
15.6%
3 82
14.9%
6 74
13.4%
0 68
12.3%
7 36
 
6.5%
1 25
 
4.5%
4 25
 
4.5%
5 24
 
4.3%
8 23
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 460
83.3%
Dash Punctuation 92
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 86
18.7%
3 82
17.8%
6 74
16.1%
0 68
14.8%
7 36
7.8%
1 25
 
5.4%
4 25
 
5.4%
5 24
 
5.2%
8 23
 
5.0%
9 17
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 92
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 552
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 92
16.7%
2 86
15.6%
3 82
14.9%
6 74
13.4%
0 68
12.3%
7 36
 
6.5%
1 25
 
4.5%
4 25
 
4.5%
5 24
 
4.3%
8 23
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 552
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 92
16.7%
2 86
15.6%
3 82
14.9%
6 74
13.4%
0 68
12.3%
7 36
 
6.5%
1 25
 
4.5%
4 25
 
4.5%
5 24
 
4.3%
8 23
 
4.2%

도로명주소
Text

Distinct62
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size640.0 B
2024-03-14T19:33:10.274384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length47
Mean length35.875
Min length25

Characters and Unicode

Total characters2296
Distinct characters144
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

Unique60 ?
Unique (%)93.8%

Sample

1st row전북특별자치도 전주시 덕진구 기린대로 451, 전주종합경기장 130,131호 (덕진동1가)
2nd row전북특별자치도 전주시 완산구 덕적골2길 33, 상가동 101호 (평화동1가,주공아파트)
3rd row전북특별자치도 전주시 완산구 안터3길 19 (서신동)
4th row전북특별자치도 전주시 완산구 신촌4길 22 (중화산동2가)
5th row전북특별자치도 전주시 덕진구 대정길 21-1 (성덕동)
ValueCountFrequency (%)
전북특별자치도 64
 
15.3%
전주시 64
 
15.3%
완산구 40
 
9.6%
덕진구 24
 
5.7%
1층 11
 
2.6%
중화산동2가 6
 
1.4%
평화동1가 6
 
1.4%
서신동 6
 
1.4%
101호 5
 
1.2%
백제대로 5
 
1.2%
Other values (150) 187
44.7%
2024-03-14T19:33:11.817432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
354
 
15.4%
전 132
 
5.7%
1 99
 
4.3%
자 74
 
3.2%
동 71
 
3.1%
북 67
 
2.9%
주 66
 
2.9%
구 65
 
2.8%
특 64
 
2.8%
별 64
 
2.8%
Other values (134) 1240
54.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1445
62.9%
Space Separator 354
 
15.4%
Decimal Number 310
 
13.5%
Open Punctuation 63
 
2.7%
Close Punctuation 63
 
2.7%
Other Punctuation 36
 
1.6%
Dash Punctuation 21
 
0.9%
Uppercase Letter 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 132
 
9.1%
자 74
 
5.1%
동 71
 
4.9%
북 67
 
4.6%
주 66
 
4.6%
구 65
 
4.5%
특 64
 
4.4%
별 64
 
4.4%
치 64
 
4.4%
도 64
 
4.4%
Other values (116) 714
49.4%
Decimal Number
ValueCountFrequency (%)
1 99
31.9%
2 50
16.1%
3 43
13.9%
0 29
 
9.4%
4 28
 
9.0%
5 16
 
5.2%
8 15
 
4.8%
7 14
 
4.5%
9 9
 
2.9%
6 7
 
2.3%
Uppercase Letter
ValueCountFrequency (%)
B 2
50.0%
G 1
25.0%
L 1
25.0%
Space Separator
ValueCountFrequency (%)
354
100.0%
Open Punctuation
ValueCountFrequency (%)
( 63
100.0%
Close Punctuation
ValueCountFrequency (%)
) 63
100.0%
Other Punctuation
ValueCountFrequency (%)
, 36
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1445
62.9%
Common 847
36.9%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 132
 
9.1%
자 74
 
5.1%
동 71
 
4.9%
북 67
 
4.6%
주 66
 
4.6%
구 65
 
4.5%
특 64
 
4.4%
별 64
 
4.4%
치 64
 
4.4%
도 64
 
4.4%
Other values (116) 714
49.4%
Common
ValueCountFrequency (%)
354
41.8%
1 99
 
11.7%
( 63
 
7.4%
) 63
 
7.4%
2 50
 
5.9%
3 43
 
5.1%
, 36
 
4.3%
0 29
 
3.4%
4 28
 
3.3%
- 21
 
2.5%
Other values (5) 61
 
7.2%
Latin
ValueCountFrequency (%)
B 2
50.0%
G 1
25.0%
L 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1445
62.9%
ASCII 851
37.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
354
41.6%
1 99
 
11.6%
( 63
 
7.4%
) 63
 
7.4%
2 50
 
5.9%
3 43
 
5.1%
, 36
 
4.2%
0 29
 
3.4%
4 28
 
3.3%
- 21
 
2.5%
Other values (8) 65
 
7.6%
Hangul
ValueCountFrequency (%)
전 132
 
9.1%
자 74
 
5.1%
동 71
 
4.9%
북 67
 
4.6%
주 66
 
4.6%
구 65
 
4.5%
특 64
 
4.4%
별 64
 
4.4%
치 64
 
4.4%
도 64
 
4.4%
Other values (116) 714
49.4%

지번주소
Text

Distinct59
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Memory size640.0 B
2024-03-14T19:33:12.818334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length28
Mean length26.9375
Min length23

Characters and Unicode

Total characters1724
Distinct characters51
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

Unique54 ?
Unique (%)84.4%

Sample

1st row전북특별자치도 전주시 덕진구 덕진동1가 1282-2
2nd row전북특별자치도 전주시 완산구 평화동1가 445-6
3rd row전북특별자치도 전주시 완산구 서신동 277-10
4th row전북특별자치도 전주시 완산구 중화산동2가 773-4
5th row전북특별자치도 전주시 덕진구 성덕동 156-3
ValueCountFrequency (%)
전북특별자치도 64
20.0%
전주시 64
20.0%
완산구 40
12.5%
덕진구 24
 
7.5%
평화동1가 7
 
2.2%
중화산동2가 7
 
2.2%
서신동 6
 
1.9%
효자동3가 5
 
1.6%
우아동3가 5
 
1.6%
금암동 4
 
1.2%
Other values (77) 94
29.4%
2024-03-14T19:33:14.249568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
256
 
14.8%
전 129
 
7.5%
자 73
 
4.2%
동 65
 
3.8%
북 65
 
3.8%
특 64
 
3.7%
별 64
 
3.7%
치 64
 
3.7%
도 64
 
3.7%
주 64
 
3.7%
Other values (41) 816
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1081
62.7%
Decimal Number 327
 
19.0%
Space Separator 256
 
14.8%
Dash Punctuation 60
 
3.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 129
 
11.9%
자 73
 
6.8%
동 65
 
6.0%
북 65
 
6.0%
특 64
 
5.9%
별 64
 
5.9%
치 64
 
5.9%
도 64
 
5.9%
주 64
 
5.9%
시 64
 
5.9%
Other values (29) 365
33.8%
Decimal Number
ValueCountFrequency (%)
2 55
16.8%
1 51
15.6%
3 41
12.5%
4 38
11.6%
5 36
11.0%
7 35
10.7%
6 31
9.5%
8 23
7.0%
9 12
 
3.7%
0 5
 
1.5%
Space Separator
ValueCountFrequency (%)
256
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1081
62.7%
Common 643
37.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 129
 
11.9%
자 73
 
6.8%
동 65
 
6.0%
북 65
 
6.0%
특 64
 
5.9%
별 64
 
5.9%
치 64
 
5.9%
도 64
 
5.9%
주 64
 
5.9%
시 64
 
5.9%
Other values (29) 365
33.8%
Common
ValueCountFrequency (%)
256
39.8%
- 60
 
9.3%
2 55
 
8.6%
1 51
 
7.9%
3 41
 
6.4%
4 38
 
5.9%
5 36
 
5.6%
7 35
 
5.4%
6 31
 
4.8%
8 23
 
3.6%
Other values (2) 17
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1081
62.7%
ASCII 643
37.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
256
39.8%
- 60
 
9.3%
2 55
 
8.6%
1 51
 
7.9%
3 41
 
6.4%
4 38
 
5.9%
5 36
 
5.6%
7 35
 
5.4%
6 31
 
4.8%
8 23
 
3.6%
Other values (2) 17
 
2.6%
Hangul
ValueCountFrequency (%)
전 129
 
11.9%
자 73
 
6.8%
동 65
 
6.0%
북 65
 
6.0%
특 64
 
5.9%
별 64
 
5.9%
치 64
 
5.9%
도 64
 
5.9%
주 64
 
5.9%
시 64
 
5.9%
Other values (29) 365
33.8%

위도
Real number (ℝ)

Distinct59
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.826382
Minimum35.789308
Maximum35.89655
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size704.0 B
2024-03-14T19:33:14.697351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.789308
5-th percentile35.793229
Q135.81165
median35.829415
Q335.83806
95-th percentile35.871156
Maximum35.89655
Range0.10724267
Interquartile range (IQR)0.026409598

Descriptive statistics

Standard deviation0.022867407
Coefficient of variation (CV)0.00063828402
Kurtosis0.54873426
Mean35.826382
Median Absolute Deviation (MAD)0.016215255
Skewness0.51304863
Sum2292.8885
Variance0.00052291832
MonotonicityNot monotonic
2024-03-14T19:33:15.069623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.83393242 2
 
3.1%
35.81983688 2
 
3.1%
35.8333823 2
 
3.1%
35.85051218 2
 
3.1%
35.7893078 2
 
3.1%
35.84075454 1
 
1.6%
35.84590434 1
 
1.6%
35.81110005 1
 
1.6%
35.82024447 1
 
1.6%
35.83072269 1
 
1.6%
Other values (49) 49
76.6%
ValueCountFrequency (%)
35.7893078 2
3.1%
35.79231247 1
1.6%
35.79317369 1
1.6%
35.79354031 1
1.6%
35.7947094 1
1.6%
35.79487163 1
1.6%
35.79562033 1
1.6%
35.79750474 1
1.6%
35.79758598 1
1.6%
35.79771273 1
1.6%
ValueCountFrequency (%)
35.89655047 1
1.6%
35.87593535 1
1.6%
35.87564157 1
1.6%
35.87479873 1
1.6%
35.85051218 2
3.1%
35.84975832 1
1.6%
35.84959555 1
1.6%
35.84886685 1
1.6%
35.84879166 1
1.6%
35.84693804 1
1.6%

경도
Real number (ℝ)

Distinct59
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.12618
Minimum127.03992
Maximum127.16314
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size704.0 B
2024-03-14T19:33:15.486294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.03992
5-th percentile127.08344
Q1127.11438
median127.13322
Q3127.13899
95-th percentile127.15893
Maximum127.16314
Range0.1232194
Interquartile range (IQR)0.024611225

Descriptive statistics

Standard deviation0.023999297
Coefficient of variation (CV)0.00018878328
Kurtosis1.6642317
Mean127.12618
Median Absolute Deviation (MAD)0.01336935
Skewness-1.0494925
Sum8136.0755
Variance0.00057596627
MonotonicityNot monotonic
2024-03-14T19:33:15.937814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.1021476 2
 
3.1%
127.1143822 2
 
3.1%
127.1351775 2
 
3.1%
127.0865803 2
 
3.1%
127.1367928 2
 
3.1%
127.127127 1
 
1.6%
127.1525856 1
 
1.6%
127.1331996 1
 
1.6%
127.1198895 1
 
1.6%
127.1466282 1
 
1.6%
Other values (49) 49
76.6%
ValueCountFrequency (%)
127.0399166 1
1.6%
127.0749013 1
1.6%
127.0752915 1
1.6%
127.0828847 1
1.6%
127.0865803 2
3.1%
127.0946211 1
1.6%
127.0956246 1
1.6%
127.1007493 1
1.6%
127.1021476 2
3.1%
127.1029385 1
1.6%
ValueCountFrequency (%)
127.163136 1
1.6%
127.1604322 1
1.6%
127.160213 1
1.6%
127.159169 1
1.6%
127.1575947 1
1.6%
127.1574398 1
1.6%
127.1546663 1
1.6%
127.1538368 1
1.6%
127.1525856 1
1.6%
127.1494677 1
1.6%

수리대상 의료기기의 유형
Text

MISSING 

Distinct49
Distinct (%)89.1%
Missing9
Missing (%)14.1%
Memory size640.0 B
2024-03-14T19:33:16.670337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length74
Median length22
Mean length16.436364
Min length3

Characters and Unicode

Total characters904
Distinct characters134
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)78.2%

Sample

1st row전동스쿠터, 전동휠체어, 수동휠체어
2nd row전동휠체어,전동스쿠터,수동휠체어
3rd row진단 검사실 및 병원 의료장비
4th row진료대외 7건
5th row진료대 등 40종
ValueCountFrequency (%)
전동스쿠터 14
 
9.7%
전동휠체어 13
 
9.0%
의료용 7
 
4.9%
수동휠체어 7
 
4.9%
등 3
 
2.1%
환자운반차 3
 
2.1%
휠체어 3
 
2.1%
및 3
 
2.1%
정형용기기 2
 
1.4%
냉장고 2
 
1.4%
Other values (80) 87
60.4%
2024-03-14T19:33:17.848566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
89
 
9.8%
, 66
 
7.3%
기 65
 
7.2%
동 55
 
6.1%
전 44
 
4.9%
체 38
 
4.2%
어 34
 
3.8%
휠 33
 
3.7%
용 31
 
3.4%
료 29
 
3.2%
Other values (124) 420
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 734
81.2%
Space Separator 89
 
9.8%
Other Punctuation 67
 
7.4%
Open Punctuation 5
 
0.6%
Close Punctuation 5
 
0.6%
Decimal Number 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 65
 
8.9%
동 55
 
7.5%
전 44
 
6.0%
체 38
 
5.2%
어 34
 
4.6%
휠 33
 
4.5%
용 31
 
4.2%
료 29
 
4.0%
스 22
 
3.0%
의 22
 
3.0%
Other values (115) 361
49.2%
Decimal Number
ValueCountFrequency (%)
7 1
25.0%
4 1
25.0%
9 1
25.0%
0 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 66
98.5%
· 1
 
1.5%
Space Separator
ValueCountFrequency (%)
89
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 734
81.2%
Common 170
 
18.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 65
 
8.9%
동 55
 
7.5%
전 44
 
6.0%
체 38
 
5.2%
어 34
 
4.6%
휠 33
 
4.5%
용 31
 
4.2%
료 29
 
4.0%
스 22
 
3.0%
의 22
 
3.0%
Other values (115) 361
49.2%
Common
ValueCountFrequency (%)
89
52.4%
, 66
38.8%
( 5
 
2.9%
) 5
 
2.9%
7 1
 
0.6%
4 1
 
0.6%
· 1
 
0.6%
9 1
 
0.6%
0 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 734
81.2%
ASCII 169
 
18.7%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
89
52.7%
, 66
39.1%
( 5
 
3.0%
) 5
 
3.0%
7 1
 
0.6%
4 1
 
0.6%
9 1
 
0.6%
0 1
 
0.6%
Hangul
ValueCountFrequency (%)
기 65
 
8.9%
동 55
 
7.5%
전 44
 
6.0%
체 38
 
5.2%
어 34
 
4.6%
휠 33
 
4.5%
용 31
 
4.2%
료 29
 
4.0%
스 22
 
3.0%
의 22
 
3.0%
Other values (115) 361
49.2%
None
ValueCountFrequency (%)
· 1
100.0%

다른 겸업 여부
Boolean

MISSING 

Distinct2
Distinct (%)3.6%
Missing9
Missing (%)14.1%
Memory size256.0 B
True
46 
False
9 
(Missing)
9 
ValueCountFrequency (%)
True 46
71.9%
False 9
 
14.1%
(Missing) 9
 
14.1%
2024-03-14T19:33:18.189313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size640.0 B
Minimum2024-01-18 00:00:00
Maximum2024-01-18 00:00:00
2024-03-14T19:33:18.454324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:33:18.760385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-14T19:33:01.744199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:33:01.245729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:33:01.992427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:33:01.490338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T19:33:18.979414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업장명인허가일자소재지전화도로명주소지번주소위도경도수리대상 의료기기의 유형다른 겸업 여부
사업장명1.0000.9991.0001.0000.9980.9930.9930.9241.000
인허가일자0.9991.0001.0000.9970.9960.9940.9840.9950.000
소재지전화1.0001.0001.0001.0001.0001.0001.0001.0001.000
도로명주소1.0000.9971.0001.0001.0001.0001.0000.9871.000
지번주소0.9980.9961.0001.0001.0001.0001.0000.9631.000
위도0.9930.9941.0001.0001.0001.0000.8520.9770.000
경도0.9930.9841.0001.0001.0000.8521.0000.9490.414
수리대상 의료기기의 유형0.9240.9951.0000.9870.9630.9770.9491.0000.000
다른 겸업 여부1.0000.0001.0001.0001.0000.0000.4140.0001.000
2024-03-14T19:33:19.275205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도다른 겸업 여부
위도1.000-0.0930.000
경도-0.0931.0000.383
다른 겸업 여부0.0000.3831.000

Missing values

2024-03-14T19:33:02.359732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T19:33:02.872264image/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.
2024-03-14T19:33:03.218765image/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

사업장명인허가일자상세영업상태명소재지전화도로명주소지번주소위도경도수리대상 의료기기의 유형다른 겸업 여부데이터기준일자
0(사)전북지체장애인협회 전주시지회2017-01-20영업중063-228-7347전북특별자치도 전주시 덕진구 기린대로 451, 전주종합경기장 130,131호 (덕진동1가)전북특별자치도 전주시 덕진구 덕진동1가 1282-235.840755127.127127전동스쿠터, 전동휠체어, 수동휠체어N2024-01-18
1(사)전주시 장애인 정보교환센타2017-11-29영업중063-283-6633전북특별자치도 전주시 완산구 덕적골2길 33, 상가동 101호 (평화동1가,주공아파트)전북특별자치도 전주시 완산구 평화동1가 445-635.79562127.141332전동휠체어,전동스쿠터,수동휠체어N2024-01-18
2(유)랩스타2015-12-17영업중063-245-6501전북특별자치도 전주시 완산구 안터3길 19 (서신동)전북특별자치도 전주시 완산구 서신동 277-1035.828716127.118486진단 검사실 및 병원 의료장비Y2024-01-18
3(유)제이엘메디칼2008-06-24영업중063-236-8375전북특별자치도 전주시 완산구 신촌4길 22 (중화산동2가)전북특별자치도 전주시 완산구 중화산동2가 773-435.817899127.11578진료대외 7건Y2024-01-18
4(유)호성양행2005-05-02영업중<NA>전북특별자치도 전주시 덕진구 대정길 21-1 (성덕동)전북특별자치도 전주시 덕진구 성덕동 156-335.875935127.039917진료대 등 40종Y2024-01-18
5(유)희망케어2008-07-04영업중063-212-6008전북특별자치도 전주시 완산구 평화14길 23 (평화동2가)전북특별자치도 전주시 완산구 평화동2가 856-235.792312127.13364환자운반차외 9건Y2024-01-18
6(주)산성헬스케어2011-05-25영업중063-273-2565전북특별자치도 전주시 완산구 화산천변6길 15-4, 1층 (중화산동2가,아산빌딩)전북특별자치도 전주시 완산구 중화산동2가 818-235.821023127.114209초음파 의료진단기기Y2024-01-18
7(주)수하나헬스케어2008-05-06영업중063-273-6145전북특별자치도 전주시 완산구 백제대로 428 (서신동)전북특별자치도 전주시 완산구 서신동 77335.8314127.123149이학진료용기기, 비뇨기과용 기계기구, 생체현상측정기기Y2024-01-18
8(주)신진에너텍2013-05-28영업중063-222-4456전북특별자치도 전주시 덕진구 하오용흥길 18-7 (호성동3가)전북특별자치도 전주시 덕진구 호성동3가 821-235.89655127.131399의료용 냉장고 제조 및 판매Y2024-01-18
9(주)인포메디2005-08-19영업중063-213-5323전북특별자치도 전주시 덕진구 팔과정로 20, 403-1호 (팔복동3가,중소기업진흥공단아파트형공장)전북특별자치도 전주시 덕진구 팔복동3가 42235.850512127.08658이학진료용기기, 생체현상측정기기, 정형용기기N2024-01-18
사업장명인허가일자상세영업상태명소재지전화도로명주소지번주소위도경도수리대상 의료기기의 유형다른 겸업 여부데이터기준일자
54전주휠라인2017-11-23영업중063-282-9001전북특별자치도 전주시 완산구 꽃밭정5길 7 (평화동1가)전북특별자치도 전주시 완산구 평화동1가 583-935.797586127.136337전동휠체어,전동스쿠터,수동휠체어(보장구) 등Y2024-01-18
55조영식재활사2011-03-21영업중063-283-1742전북특별자치도 전주시 완산구 천잠로 507, 1층 101호 (효자동3가)전북특별자치도 전주시 완산구 효자동3가 978-935.829794127.094621전동수쿠터, 전동휠체어Y2024-01-18
56주식회사 웰메디2016-12-16영업중<NA>전북특별자치도 전주시 완산구 전룡로 134, 2층 (서신동)전북특별자치도 전주시 완산구 서신동 53-335.829115127.127292의료용 레이저 조사기Y2024-01-18
57청솔메디칼2017-02-07영업중063-255-0778전북특별자치도 전주시 덕진구 우아2길 23-1 (우아동3가)전북특별자치도 전주시 덕진구 우아동3가 746-5535.849758127.159169재활물리치료기,진단용기기,수술관련기기Y2024-01-18
58케어라인일렉스타2015-08-20영업중<NA>전북특별자치도 전주시 완산구 장승배기로 249, 1층 (평화동1가)전북특별자치도 전주시 완산구 평화동1가 438-635.798316127.139426전동스쿠터, 전동휠체어Y2024-01-18
59푸른의수족의료기2018-12-11영업중<NA>전북특별자치도 전주시 덕진구 거북바우로 76 (인후동2가)전북특별자치도 전주시 덕진구 인후동2가 1522-2635.840384127.144742환자운반차, 전동스쿠터, 전동휠체어Y2024-01-18
60프로메드2022-05-25영업중063-277-4829전북특별자치도 전주시 완산구 서곡2길 14-1, 1층 (효자동3가)전북특별자치도 전주시 완산구 효자동3가 1464-135.833932127.102148<NA><NA>2024-01-18
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