Overview

Dataset statistics

Number of variables6
Number of observations258
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.5 KiB
Average record size in memory49.5 B

Variable types

Numeric1
Categorical1
Text3
DateTime1

Dataset

Description광주광역시 북구 예방접종위탁 의료기관 현황으로 종별구분, 기관코트, 의료기관명, 주소의 항목을 공공데이터포털을 통해 제공합니다.
URLhttps://www.data.go.kr/data/3083028/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
종별구분 is highly imbalanced (63.4%)Imbalance
번호 has unique valuesUnique
기관코드 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 04:37:22.547118
Analysis finished2023-12-12 04:37:23.149760
Duration0.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct258
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.5
Minimum1
Maximum258
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-12T13:37:23.271585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13.85
Q165.25
median129.5
Q3193.75
95-th percentile245.15
Maximum258
Range257
Interquartile range (IQR)128.5

Descriptive statistics

Standard deviation74.622383
Coefficient of variation (CV)0.57623462
Kurtosis-1.2
Mean129.5
Median Absolute Deviation (MAD)64.5
Skewness0
Sum33411
Variance5568.5
MonotonicityStrictly increasing
2023-12-12T13:37:23.463594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
195 1
 
0.4%
165 1
 
0.4%
166 1
 
0.4%
167 1
 
0.4%
168 1
 
0.4%
169 1
 
0.4%
170 1
 
0.4%
171 1
 
0.4%
172 1
 
0.4%
Other values (248) 248
96.1%
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 (%)
258 1
0.4%
257 1
0.4%
256 1
0.4%
255 1
0.4%
254 1
0.4%
253 1
0.4%
252 1
0.4%
251 1
0.4%
250 1
0.4%
249 1
0.4%

종별구분
Categorical

IMBALANCE 

Distinct9
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
의원
204 
병원
24 
요양병원
 
18
종합병원
 
6
정신요양병원
 
2
Other values (4)
 
4

Length

Max length6
Median length2
Mean length2.248062
Min length2

Unique

Unique4 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
의원 204
79.1%
병원 24
 
9.3%
요양병원 18
 
7.0%
종합병원 6
 
2.3%
정신요양병원 2
 
0.8%
한방병원 1
 
0.4%
치과의원 1
 
0.4%
대학교보건실 1
 
0.4%
센터 1
 
0.4%

Length

2023-12-12T13:37:23.670436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:37:23.827965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 204
79.1%
병원 24
 
9.3%
요양병원 18
 
7.0%
종합병원 6
 
2.3%
정신요양병원 2
 
0.8%
한방병원 1
 
0.4%
치과의원 1
 
0.4%
대학교보건실 1
 
0.4%
센터 1
 
0.4%

기관코드
Text

UNIQUE 

Distinct258
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-12T13:37:24.209878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.9922481
Min length6

Characters and Unicode

Total characters2062
Distinct characters12
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

Unique258 ?
Unique (%)100.0%

Sample

1st row36338044
2nd row36343072
3rd row36321575
4th row36334456
5th row36314242
ValueCountFrequency (%)
36338044 1
 
0.4%
36318744 1
 
0.4%
36100986 1
 
0.4%
36283240 1
 
0.4%
36308731 1
 
0.4%
36344176 1
 
0.4%
36315834 1
 
0.4%
36310042 1
 
0.4%
36200981 1
 
0.4%
36205168 1
 
0.4%
Other values (248) 248
96.1%
2023-12-12T13:37:24.793653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 620
30.1%
6 352
17.1%
2 195
 
9.5%
1 195
 
9.5%
0 158
 
7.7%
4 143
 
6.9%
8 117
 
5.7%
5 106
 
5.1%
7 88
 
4.3%
9 86
 
4.2%
Other values (2) 2
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2060
99.9%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 620
30.1%
6 352
17.1%
2 195
 
9.5%
1 195
 
9.5%
0 158
 
7.7%
4 143
 
6.9%
8 117
 
5.7%
5 106
 
5.1%
7 88
 
4.3%
9 86
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
C 1
50.0%
O 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2060
99.9%
Latin 2
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
3 620
30.1%
6 352
17.1%
2 195
 
9.5%
1 195
 
9.5%
0 158
 
7.7%
4 143
 
6.9%
8 117
 
5.7%
5 106
 
5.1%
7 88
 
4.3%
9 86
 
4.2%
Latin
ValueCountFrequency (%)
C 1
50.0%
O 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2062
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 620
30.1%
6 352
17.1%
2 195
 
9.5%
1 195
 
9.5%
0 158
 
7.7%
4 143
 
6.9%
8 117
 
5.7%
5 106
 
5.1%
7 88
 
4.3%
9 86
 
4.2%
Other values (2) 2
 
0.1%

의료기관명
Text

Distinct257
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-12T13:37:25.147185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length20
Mean length7.8217054
Min length3

Characters and Unicode

Total characters2018
Distinct characters268
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique256 ?
Unique (%)99.2%

Sample

1st row(의) 열린의료재단 한마음의원
2nd row123내과의원
3rd row365열린가정의원
4th rowOK의원
5th row강신주내과의원
ValueCountFrequency (%)
우리들의원 2
 
0.7%
정인철가정의학과의원 1
 
0.4%
유병전내과의원 1
 
0.4%
윤이호의원 1
 
0.4%
은병원 1
 
0.4%
의료법인가평의료재단 1
 
0.4%
첨단선병원 1
 
0.4%
이강덕이비인후과의원 1
 
0.4%
이명곤내과의원 1
 
0.4%
이승배내과의원 1
 
0.4%
Other values (258) 258
95.9%
2023-12-12T13:37:25.622213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 260
 
12.9%
의 246
 
12.2%
과 155
 
7.7%
내 55
 
2.7%
병 53
 
2.6%
이 43
 
2.1%
정 39
 
1.9%
학 35
 
1.7%
인 34
 
1.7%
주 29
 
1.4%
Other values (258) 1069
53.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1974
97.8%
Space Separator 12
 
0.6%
Decimal Number 12
 
0.6%
Uppercase Letter 7
 
0.3%
Close Punctuation 5
 
0.2%
Open Punctuation 5
 
0.2%
Lowercase Letter 2
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 260
 
13.2%
의 246
 
12.5%
과 155
 
7.9%
내 55
 
2.8%
병 53
 
2.7%
이 43
 
2.2%
정 39
 
2.0%
학 35
 
1.8%
인 34
 
1.7%
주 29
 
1.5%
Other values (240) 1025
51.9%
Decimal Number
ValueCountFrequency (%)
1 3
25.0%
8 2
16.7%
3 2
16.7%
2 2
16.7%
6 1
 
8.3%
5 1
 
8.3%
9 1
 
8.3%
Uppercase Letter
ValueCountFrequency (%)
H 3
42.9%
O 1
 
14.3%
E 1
 
14.3%
T 1
 
14.3%
K 1
 
14.3%
Lowercase Letter
ValueCountFrequency (%)
r 1
50.0%
e 1
50.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Other Punctuation
ValueCountFrequency (%)
＆ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1974
97.8%
Common 35
 
1.7%
Latin 9
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 260
 
13.2%
의 246
 
12.5%
과 155
 
7.9%
내 55
 
2.8%
병 53
 
2.7%
이 43
 
2.2%
정 39
 
2.0%
학 35
 
1.8%
인 34
 
1.7%
주 29
 
1.5%
Other values (240) 1025
51.9%
Common
ValueCountFrequency (%)
12
34.3%
) 5
14.3%
( 5
14.3%
1 3
 
8.6%
8 2
 
5.7%
3 2
 
5.7%
2 2
 
5.7%
6 1
 
2.9%
5 1
 
2.9%
9 1
 
2.9%
Latin
ValueCountFrequency (%)
H 3
33.3%
r 1
 
11.1%
e 1
 
11.1%
O 1
 
11.1%
E 1
 
11.1%
T 1
 
11.1%
K 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1974
97.8%
ASCII 43
 
2.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 260
 
13.2%
의 246
 
12.5%
과 155
 
7.9%
내 55
 
2.8%
병 53
 
2.7%
이 43
 
2.2%
정 39
 
2.0%
학 35
 
1.8%
인 34
 
1.7%
주 29
 
1.5%
Other values (240) 1025
51.9%
ASCII
ValueCountFrequency (%)
12
27.9%
) 5
11.6%
( 5
11.6%
H 3
 
7.0%
1 3
 
7.0%
8 2
 
4.7%
3 2
 
4.7%
2 2
 
4.7%
6 1
 
2.3%
5 1
 
2.3%
Other values (7) 7
16.3%
None
ValueCountFrequency (%)
＆ 1
100.0%

주소
Text

UNIQUE 

Distinct258
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-12T13:37:26.054307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length47.5
Mean length28.596899
Min length21

Characters and Unicode

Total characters7378
Distinct characters203
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique258 ?
Unique (%)100.0%

Sample

1st row광주광역시 북구 설죽로 319 (매곡동) 3층
2nd row광주광역시 북구 동문대로 102 (두암동) 장안빌딩 2+4+5층
3rd row광주광역시 북구 삼정로 7 (두암동 주공2단지상가) 204호
4th row광주광역시 북구 북문대로 47 (운암동) 2+3층
5th row광주광역시 북구 서하로 380 (문흥동) 2층
ValueCountFrequency (%)
광주광역시 258
 
16.0%
북구 258
 
16.0%
2층 66
 
4.1%
운암동 44
 
2.7%
두암동 38
 
2.4%
3층 38
 
2.4%
북문대로 37
 
2.3%
동문대로 34
 
2.1%
설죽로 22
 
1.4%
서하로 20
 
1.2%
Other values (387) 798
49.5%
2023-12-12T13:37:26.636205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1409
19.1%
광 518
 
7.0%
동 317
 
4.3%
북 298
 
4.0%
주 267
 
3.6%
구 259
 
3.5%
역 258
 
3.5%
시 258
 
3.5%
로 257
 
3.5%
( 257
 
3.5%
Other values (193) 3280
44.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4121
55.9%
Space Separator 1409
 
19.1%
Decimal Number 1213
 
16.4%
Open Punctuation 257
 
3.5%
Close Punctuation 257
 
3.5%
Math Symbol 77
 
1.0%
Dash Punctuation 26
 
0.4%
Uppercase Letter 11
 
0.1%
Other Punctuation 4
 
0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 518
 
12.6%
동 317
 
7.7%
북 298
 
7.2%
주 267
 
6.5%
구 259
 
6.3%
역 258
 
6.3%
시 258
 
6.3%
로 257
 
6.2%
층 190
 
4.6%
대 98
 
2.4%
Other values (163) 1401
34.0%
Decimal Number
ValueCountFrequency (%)
1 238
19.6%
2 236
19.5%
3 183
15.1%
0 128
10.6%
5 99
8.2%
4 98
8.1%
7 72
 
5.9%
9 67
 
5.5%
6 50
 
4.1%
8 42
 
3.5%
Uppercase Letter
ValueCountFrequency (%)
B 2
18.2%
A 2
18.2%
U 1
9.1%
M 1
9.1%
J 1
9.1%
I 1
9.1%
L 1
9.1%
S 1
9.1%
D 1
9.1%
Math Symbol
ValueCountFrequency (%)
+ 64
83.1%
~ 11
 
14.3%
～ 2
 
2.6%
Lowercase Letter
ValueCountFrequency (%)
m 1
33.3%
b 1
33.3%
u 1
33.3%
Space Separator
ValueCountFrequency (%)
1409
100.0%
Open Punctuation
ValueCountFrequency (%)
( 257
100.0%
Close Punctuation
ValueCountFrequency (%)
) 257
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4121
55.9%
Common 3243
44.0%
Latin 14
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 518
 
12.6%
동 317
 
7.7%
북 298
 
7.2%
주 267
 
6.5%
구 259
 
6.3%
역 258
 
6.3%
시 258
 
6.3%
로 257
 
6.2%
층 190
 
4.6%
대 98
 
2.4%
Other values (163) 1401
34.0%
Common
ValueCountFrequency (%)
1409
43.4%
( 257
 
7.9%
) 257
 
7.9%
1 238
 
7.3%
2 236
 
7.3%
3 183
 
5.6%
0 128
 
3.9%
5 99
 
3.1%
4 98
 
3.0%
7 72
 
2.2%
Other values (8) 266
 
8.2%
Latin
ValueCountFrequency (%)
B 2
14.3%
A 2
14.3%
U 1
7.1%
m 1
7.1%
M 1
7.1%
J 1
7.1%
I 1
7.1%
L 1
7.1%
b 1
7.1%
u 1
7.1%
Other values (2) 2
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4121
55.9%
ASCII 3255
44.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1409
43.3%
( 257
 
7.9%
) 257
 
7.9%
1 238
 
7.3%
2 236
 
7.3%
3 183
 
5.6%
0 128
 
3.9%
5 99
 
3.0%
4 98
 
3.0%
7 72
 
2.2%
Other values (19) 278
 
8.5%
Hangul
ValueCountFrequency (%)
광 518
 
12.6%
동 317
 
7.7%
북 298
 
7.2%
주 267
 
6.5%
구 259
 
6.3%
역 258
 
6.3%
시 258
 
6.3%
로 257
 
6.2%
층 190
 
4.6%
대 98
 
2.4%
Other values (163) 1401
34.0%
None
ValueCountFrequency (%)
～ 2
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum2023-08-24 00:00:00
Maximum2023-08-24 00:00:00
2023-12-12T13:37:26.813397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:37:26.973496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T13:37:22.850623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:37:27.082050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호종별구분
번호1.0000.194
종별구분0.1941.000
2023-12-12T13:37:27.203707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호종별구분
번호1.0000.088
종별구분0.0881.000

Missing values

2023-12-12T13:37:22.962718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:37:23.091038image/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

번호종별구분기관코드의료기관명주소데이터기준일자
01의원36338044(의) 열린의료재단 한마음의원광주광역시 북구 설죽로 319 (매곡동) 3층2023-08-24
12의원36343072123내과의원광주광역시 북구 동문대로 102 (두암동) 장안빌딩 2+4+5층2023-08-24
23의원36321575365열린가정의원광주광역시 북구 삼정로 7 (두암동 주공2단지상가) 204호2023-08-24
34의원36334456OK의원광주광역시 북구 북문대로 47 (운암동) 2+3층2023-08-24
45의원36314242강신주내과의원광주광역시 북구 서하로 380 (문흥동) 2층2023-08-24
56의원36345598건강한내과의원광주광역시 북구 북문대로 167 (운암동) 3층 303호2023-08-24
67의원36331759곽내과의원광주광역시 북구 삼정로 110 (두암동) 2층2023-08-24
78의원36340499광주 부속의원광주광역시 북구 삼각월산길 49-43 (삼각동) 1+2층2023-08-24
89병원36203394광주굿모닝병원광주광역시 북구 북문대로 182 (운암동)2023-08-24
910의원36329134광주내과의원광주광역시 북구 하서로 421 (용두동) 2층2023-08-24
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248249요양병원36281514헤아림요양병원광주광역시 북구 하서로 290-51 (일곡동)2023-08-24
249250의원36330205현대연합의원광주광역시 북구 북문대로242번길 5 (동림동) 2층 현대연합의원2023-08-24
250251의원36332631현소아청소년과의원광주광역시 북구 설죽로 515 (일곡동) 3층2023-08-24
251252병원36203718호남권역재활병원광주광역시 북구 하서로 590 (본촌동)2023-08-24
252253의원36310468홍경표내과의원광주광역시 북구 북문대로 37 (운암동)2023-08-24
253254의원36315516홍성호가정의학과의원광주광역시 북구 유림로 175 (동림동 삼익아파트상가) 307호2023-08-24
254255의원36314048화인가정의학과의원광주광역시 북구 양산로 55 (양산동) 2층2023-08-24
255256요양병원36281697효드림요양병원광주광역시 북구 들재매길 101 (신안동)2023-08-24
256257의원36313297효성연합의원광주광역시 북구 군왕로 74 (두암동) 2+3층2023-08-24
257258병원36205389힘내라정형외과병원광주광역시 북구 북문대로 167 (운암동) 3층 302호 4 5층2023-08-24