Overview

Dataset statistics

Number of variables4
Number of observations123
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.1 KiB
Average record size in memory34.1 B

Variable types

Numeric1
Text3

Dataset

Description2023년도 08월 28일 경기도 고양시 어린이 국가예방접종 위탁의료기관 현황(위탁의료기관명, 전화번호, 주소)
URLhttps://www.data.go.kr/data/3078207/fileData.do

Alerts

No has unique valuesUnique
의료기관명 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:26:15.259407
Analysis finished2023-12-12 12:26:15.888163
Duration0.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

No
Real number (ℝ)

UNIQUE 

Distinct123
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62
Minimum1
Maximum123
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T21:26:15.994985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.1
Q131.5
median62
Q392.5
95-th percentile116.9
Maximum123
Range122
Interquartile range (IQR)61

Descriptive statistics

Standard deviation35.651087
Coefficient of variation (CV)0.57501753
Kurtosis-1.2
Mean62
Median Absolute Deviation (MAD)31
Skewness0
Sum7626
Variance1271
MonotonicityStrictly increasing
2023-12-12T21:26:16.216095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
79 1
 
0.8%
92 1
 
0.8%
91 1
 
0.8%
90 1
 
0.8%
89 1
 
0.8%
88 1
 
0.8%
87 1
 
0.8%
86 1
 
0.8%
85 1
 
0.8%
Other values (113) 113
91.9%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
123 1
0.8%
122 1
0.8%
121 1
0.8%
120 1
0.8%
119 1
0.8%
118 1
0.8%
117 1
0.8%
116 1
0.8%
115 1
0.8%
114 1
0.8%

의료기관명
Text

UNIQUE 

Distinct123
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T21:26:16.580956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length9.0162602
Min length4

Characters and Unicode

Total characters1109
Distinct characters158
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

Unique123 ?
Unique (%)100.0%

Sample

1st row365서울소아청소년과의원
2nd row365열린메디컬의원
3rd row강혜승산부인과의원
4th row고양연세의원
5th row굿모닝내과의원
ValueCountFrequency (%)
365서울소아청소년과의원 1
 
0.8%
우리안과의원 1
 
0.8%
정민내과의원 1
 
0.8%
이편한서울이비인후과의원 1
 
0.8%
이준각가정의학과의원 1
 
0.8%
이윤정산부인과의원 1
 
0.8%
이움내과의원 1
 
0.8%
이승희한건수의원 1
 
0.8%
의료법인자인의료재단(더자인병원 1
 
0.8%
의료법인명지의료재단명지병원 1
 
0.8%
Other values (114) 114
91.9%
2023-12-12T21:26:17.124099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
132
 
11.9%
129
 
11.6%
98
 
8.8%
52
 
4.7%
41
 
3.7%
36
 
3.2%
35
 
3.2%
27
 
2.4%
27
 
2.4%
25
 
2.3%
Other values (148) 507
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1090
98.3%
Decimal Number 12
 
1.1%
Open Punctuation 2
 
0.2%
Close Punctuation 2
 
0.2%
Uppercase Letter 2
 
0.2%
Space Separator 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
132
 
12.1%
129
 
11.8%
98
 
9.0%
52
 
4.8%
41
 
3.8%
36
 
3.3%
35
 
3.2%
27
 
2.5%
27
 
2.5%
25
 
2.3%
Other values (140) 488
44.8%
Decimal Number
ValueCountFrequency (%)
6 4
33.3%
3 4
33.3%
5 4
33.3%
Uppercase Letter
ValueCountFrequency (%)
I 1
50.0%
S 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1090
98.3%
Common 17
 
1.5%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
132
 
12.1%
129
 
11.8%
98
 
9.0%
52
 
4.8%
41
 
3.8%
36
 
3.3%
35
 
3.2%
27
 
2.5%
27
 
2.5%
25
 
2.3%
Other values (140) 488
44.8%
Common
ValueCountFrequency (%)
6 4
23.5%
3 4
23.5%
5 4
23.5%
( 2
11.8%
) 2
11.8%
1
 
5.9%
Latin
ValueCountFrequency (%)
I 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1090
98.3%
ASCII 19
 
1.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
132
 
12.1%
129
 
11.8%
98
 
9.0%
52
 
4.8%
41
 
3.8%
36
 
3.3%
35
 
3.2%
27
 
2.5%
27
 
2.5%
25
 
2.3%
Other values (140) 488
44.8%
ASCII
ValueCountFrequency (%)
6 4
21.1%
3 4
21.1%
5 4
21.1%
( 2
10.5%
) 2
10.5%
1
 
5.3%
I 1
 
5.3%
S 1
 
5.3%
Distinct122
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T21:26:17.470845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.804878
Min length11

Characters and Unicode

Total characters1452
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

Unique121 ?
Unique (%)98.4%

Sample

1st row031-979-5056
2nd row031-811-8900
3rd row031-972-2255
4th row031-964-5078
5th row031-965-7800
ValueCountFrequency (%)
031-973-6002 2
 
1.6%
031-965-4268 1
 
0.8%
031-970-7768 1
 
0.8%
031-963-6100 1
 
0.8%
02-6956-9535 1
 
0.8%
02-353-8253 1
 
0.8%
031-813-8481 1
 
0.8%
031-979-0875 1
 
0.8%
031-968-0971 1
 
0.8%
031-930-3114 1
 
0.8%
Other values (112) 112
91.1%
2023-12-12T21:26:18.032958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 246
16.9%
0 201
13.8%
1 192
13.2%
3 190
13.1%
9 143
9.8%
7 109
7.5%
2 109
7.5%
5 89
 
6.1%
8 73
 
5.0%
6 63
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1206
83.1%
Dash Punctuation 246
 
16.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 201
16.7%
1 192
15.9%
3 190
15.8%
9 143
11.9%
7 109
9.0%
2 109
9.0%
5 89
7.4%
8 73
 
6.1%
6 63
 
5.2%
4 37
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 246
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1452
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 246
16.9%
0 201
13.8%
1 192
13.2%
3 190
13.1%
9 143
9.8%
7 109
7.5%
2 109
7.5%
5 89
 
6.1%
8 73
 
5.0%
6 63
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1452
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 246
16.9%
0 201
13.8%
1 192
13.2%
3 190
13.1%
9 143
9.8%
7 109
7.5%
2 109
7.5%
5 89
 
6.1%
8 73
 
5.0%
6 63
 
4.3%

주소
Text

UNIQUE 

Distinct123
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T21:26:18.487162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length46
Mean length38.292683
Min length25

Characters and Unicode

Total characters4710
Distinct characters189
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique123 ?
Unique (%)100.0%

Sample

1st row경기도 고양시 덕양구 화중로 66-0, (화정동, 롯데마트)
2nd row경기도 고양시 덕양구 중앙로 612, (화정동) 3층,4층
3rd row경기도 고양시 덕양구 화신로260번길 57, (화정동, 요진타워 307,308호)
4th row경기도 고양시 덕양구 푸른마을로 6, (고양동, 고양 e PLAZA) 304호,312호
5th row경기도 고양시 덕양구 호국로 803, (주교동, 동세청자아,상가) 206호
ValueCountFrequency (%)
경기도 123
 
12.6%
덕양구 123
 
12.6%
고양시 123
 
12.6%
행신동 25
 
2.6%
화정동 24
 
2.4%
3층 16
 
1.6%
2층 15
 
1.5%
화중로 9
 
0.9%
삼송동 9
 
0.9%
중앙로 9
 
0.9%
Other values (300) 504
51.4%
2023-12-12T21:26:19.165914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
874
 
18.6%
260
 
5.5%
, 200
 
4.2%
149
 
3.2%
0 141
 
3.0%
137
 
2.9%
134
 
2.8%
130
 
2.8%
126
 
2.7%
126
 
2.7%
Other values (179) 2433
51.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2534
53.8%
Space Separator 874
 
18.6%
Decimal Number 797
 
16.9%
Other Punctuation 201
 
4.3%
Open Punctuation 124
 
2.6%
Close Punctuation 124
 
2.6%
Uppercase Letter 32
 
0.7%
Dash Punctuation 12
 
0.3%
Math Symbol 10
 
0.2%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
260
 
10.3%
149
 
5.9%
137
 
5.4%
134
 
5.3%
130
 
5.1%
126
 
5.0%
126
 
5.0%
126
 
5.0%
123
 
4.9%
121
 
4.8%
Other values (151) 1102
43.5%
Decimal Number
ValueCountFrequency (%)
0 141
17.7%
2 125
15.7%
3 110
13.8%
1 103
12.9%
4 83
10.4%
5 68
8.5%
6 59
7.4%
8 44
 
5.5%
7 43
 
5.4%
9 21
 
2.6%
Uppercase Letter
ValueCountFrequency (%)
A 6
18.8%
S 5
15.6%
B 5
15.6%
I 3
9.4%
P 3
9.4%
L 3
9.4%
Z 3
9.4%
K 2
 
6.2%
M 1
 
3.1%
J 1
 
3.1%
Other Punctuation
ValueCountFrequency (%)
, 200
99.5%
. 1
 
0.5%
Space Separator
ValueCountFrequency (%)
874
100.0%
Open Punctuation
ValueCountFrequency (%)
( 124
100.0%
Close Punctuation
ValueCountFrequency (%)
) 124
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Math Symbol
ValueCountFrequency (%)
~ 10
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2534
53.8%
Common 2142
45.5%
Latin 34
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
260
 
10.3%
149
 
5.9%
137
 
5.4%
134
 
5.3%
130
 
5.1%
126
 
5.0%
126
 
5.0%
126
 
5.0%
123
 
4.9%
121
 
4.8%
Other values (151) 1102
43.5%
Common
ValueCountFrequency (%)
874
40.8%
, 200
 
9.3%
0 141
 
6.6%
2 125
 
5.8%
( 124
 
5.8%
) 124
 
5.8%
3 110
 
5.1%
1 103
 
4.8%
4 83
 
3.9%
5 68
 
3.2%
Other values (7) 190
 
8.9%
Latin
ValueCountFrequency (%)
A 6
17.6%
S 5
14.7%
B 5
14.7%
I 3
8.8%
P 3
8.8%
L 3
8.8%
Z 3
8.8%
e 2
 
5.9%
K 2
 
5.9%
M 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2534
53.8%
ASCII 2176
46.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
874
40.2%
, 200
 
9.2%
0 141
 
6.5%
2 125
 
5.7%
( 124
 
5.7%
) 124
 
5.7%
3 110
 
5.1%
1 103
 
4.7%
4 83
 
3.8%
5 68
 
3.1%
Other values (18) 224
 
10.3%
Hangul
ValueCountFrequency (%)
260
 
10.3%
149
 
5.9%
137
 
5.4%
134
 
5.3%
130
 
5.1%
126
 
5.0%
126
 
5.0%
126
 
5.0%
123
 
4.9%
121
 
4.8%
Other values (151) 1102
43.5%

Interactions

2023-12-12T21:26:15.538718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T21:26:15.712837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:26:15.836902image/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.

Sample

No의료기관명전화번호주소
01365서울소아청소년과의원031-979-5056경기도 고양시 덕양구 화중로 66-0, (화정동, 롯데마트)
12365열린메디컬의원031-811-8900경기도 고양시 덕양구 중앙로 612, (화정동) 3층,4층
23강혜승산부인과의원031-972-2255경기도 고양시 덕양구 화신로260번길 57, (화정동, 요진타워 307,308호)
34고양연세의원031-964-5078경기도 고양시 덕양구 푸른마을로 6, (고양동, 고양 e PLAZA) 304호,312호
45굿모닝내과의원031-965-7800경기도 고양시 덕양구 호국로 803, (주교동, 동세청자아,상가) 206호
56굿모닝소아청소년과의원031-973-6002경기도 고양시 덕양구 충장로 134, (행신동, 아이프라자) 208,209호
67굿모닝이비인후과의원031-973-6002경기도 고양시 덕양구 충장로 134, (행신동, 아이프라자) 210호,211호
78김앤유내과의원02-381-3551경기도 고양시 덕양구 권율대로 900, (신원동) S프라자 3층
89김은실한재희소아과의원031-979-2237경기도 고양시 덕양구 충장로152번길 47, (행신동, 햇빛마을20단지상가)
910나눔가정의학과의원031-938-9962경기도 고양시 덕양구 행신로143번길 72-1, (행신동)
No의료기관명전화번호주소
113114행신연세소아청소년과의원031-938-3533경기도 고양시 덕양구 중앙로 452, (행신동, 메디스타원) 401,402호
114115행신조은의원031-971-3385경기도 고양시 덕양구 충장로 150, (행신동, 롯데마트 고양점2층)
115116행신중앙의원031-938-0022경기도 고양시 덕양구 충경로 87, (행신동, 소만마을7단지상가) 32,33,34호
116117향기로운봄산부인과의원02-3159-3009경기도 고양시 덕양구 꽃마을로 4, (향동동) 고양향동 퍼스트타워 407호
117118향동두리이비인후과의원02-3159-7585경기도 고양시 덕양구 꽃마을로 4, (향동동) 퍼스트타워 4층 404호
118119향동연세소아청소년과의원02-3159-8875경기도 고양시 덕양구 꽃마을로 4, (향동동) 퍼스트타워 3층 302호
119120현대아산내과의원031-969-1142경기도 고양시 덕양구 혜음로 45, (고양동, 고양메디컬빌딩) 2층
120121현대이비인후과의원031-978-8276경기도 고양시 덕양구 행신로 266, (행신동, 월드타워) 402호
121122화전성모의원02-3158-0172경기도 고양시 덕양구 화랑로 20-2, (화전동) 2층
122123화정연세내과의원031-965-0217경기도 고양시 덕양구 화정로 47, (화정동, 동원텔) 315호