Overview

Dataset statistics

Number of variables11
Number of observations295
Missing cells773
Missing cells (%)23.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory25.5 KiB
Average record size in memory88.4 B

Variable types

Categorical3
Text8

Dataset

Description경기도 성남시 설날연휴 의료기관 및 약국의 운영현황에 대한 데이터로, 성남시내 설날연휴 기간내 의료기관 및 약국 개방 현황(상호명, 소재지, 전화번호, 연휴 개방시간)에 관한 데이터를 제공합니다.
Author경기도 성남시
URLhttps://www.data.go.kr/data/15031782/fileData.do

Alerts

동 is highly overall correlated with 구High correlation
구 is highly overall correlated with 동High correlation
병원분류 is highly imbalanced (51.5%)Imbalance
진료과목 has 152 (51.5%) missing valuesMissing
운영시간_1일차(2_9) has 146 (49.5%) missing valuesMissing
운영시간_2일차(2_10) has 240 (81.4%) missing valuesMissing
운영시간_3일차(2_11) has 209 (70.8%) missing valuesMissing
운영시간_4일차(2_12) has 26 (8.8%) missing valuesMissing

Reproduction

Analysis started2024-03-14 10:03:26.330792
Analysis finished2024-03-14 10:03:28.785708
Duration2.45 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
분당구
164 
수정구
95 
중원구
36 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
분당구 164
55.6%
수정구 95
32.2%
중원구 36
 
12.2%

Length

2024-03-14T19:03:29.019326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:03:29.309990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
분당구 164
55.6%
수정구 95
32.2%
중원구 36
 
12.2%

동
Categorical

HIGH CORRELATION 

Distinct28
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
서현동
44 
야탑동
28 
창곡동
28 
태평동
21 
신흥동
20 
Other values (23)
154 

Length

Max length4
Median length3
Mean length3.0033898
Min length2

Unique

Unique5 ?
Unique (%)1.7%

Sample

1st row태평동
2nd row수진동
3rd row수진동
4th row태평동
5th row태평동

Common Values

ValueCountFrequency (%)
서현동 44
14.9%
야탑동 28
 
9.5%
창곡동 28
 
9.5%
태평동 21
 
7.1%
신흥동 20
 
6.8%
수진동 17
 
5.8%
정자동 17
 
5.8%
구미동 16
 
5.4%
금곡동 15
 
5.1%
수내동 14
 
4.7%
Other values (18) 75
25.4%

Length

2024-03-14T19:03:29.653799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서현동 44
14.9%
창곡동 28
 
9.5%
야탑동 28
 
9.5%
태평동 21
 
7.1%
신흥동 20
 
6.8%
수진동 17
 
5.8%
정자동 17
 
5.8%
구미동 16
 
5.4%
금곡동 15
 
5.1%
수내동 14
 
4.7%
Other values (18) 75
25.4%

병원분류
Categorical

IMBALANCE 

Distinct8
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
약국
152 
의원
122 
병원
 
8
지역응급의료센터
 
4
한방병원
 
4
Other values (3)
 
5

Length

Max length8
Median length2
Mean length2.1966102
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row지역응급의료센터
2nd row지역응급의료센터
3rd row응급의료시설
4th row병원
5th row병원

Common Values

ValueCountFrequency (%)
약국 152
51.5%
의원 122
41.4%
병원 8
 
2.7%
지역응급의료센터 4
 
1.4%
한방병원 4
 
1.4%
응급의료시설 2
 
0.7%
전문응급의료센터 2
 
0.7%
지역응급의료기관 1
 
0.3%

Length

2024-03-14T19:03:30.088977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:03:30.461334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
약국 152
51.5%
의원 122
41.4%
병원 8
 
2.7%
지역응급의료센터 4
 
1.4%
한방병원 4
 
1.4%
응급의료시설 2
 
0.7%
전문응급의료센터 2
 
0.7%
지역응급의료기관 1
 
0.3%

기관명
Text

Distinct291
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-03-14T19:03:31.631349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length13
Mean length7.220339
Min length3

Characters and Unicode

Total characters2130
Distinct characters279
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique287 ?
Unique (%)97.3%

Sample

1st row성남시의료원
2nd row순천의료재단성남정병원
3rd row성모윌병원
4th row곽여성병원
5th row지우병원
ValueCountFrequency (%)
우리들약국 2
 
0.7%
선화약국 2
 
0.7%
두리이비인후과의원 2
 
0.7%
우리약국 2
 
0.7%
분당365일의원 1
 
0.3%
연세탑정형외과의원 1
 
0.3%
서울n비뇨의학과의원 1
 
0.3%
닥터스피부과의원 1
 
0.3%
하나이비인후과의원 1
 
0.3%
미소앤의원 1
 
0.3%
Other values (281) 281
95.3%
2024-03-14T19:03:33.179322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
국 154
 
7.2%
약 153
 
7.2%
의 145
 
6.8%
원 145
 
6.8%
과 95
 
4.5%
이 40
 
1.9%
성 37
 
1.7%
소 37
 
1.7%
리 36
 
1.7%
세 29
 
1.4%
Other values (269) 1259
59.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2088
98.0%
Decimal Number 34
 
1.6%
Uppercase Letter 4
 
0.2%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 154
 
7.4%
약 153
 
7.3%
의 145
 
6.9%
원 145
 
6.9%
과 95
 
4.5%
이 40
 
1.9%
성 37
 
1.8%
소 37
 
1.8%
리 36
 
1.7%
세 29
 
1.4%
Other values (257) 1217
58.3%
Decimal Number
ValueCountFrequency (%)
5 9
26.5%
3 9
26.5%
6 8
23.5%
2 4
11.8%
1 3
 
8.8%
4 1
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
J 1
25.0%
N 1
25.0%
Y 1
25.0%
S 1
25.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2088
98.0%
Common 38
 
1.8%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 154
 
7.4%
약 153
 
7.3%
의 145
 
6.9%
원 145
 
6.9%
과 95
 
4.5%
이 40
 
1.9%
성 37
 
1.8%
소 37
 
1.8%
리 36
 
1.7%
세 29
 
1.4%
Other values (257) 1217
58.3%
Common
ValueCountFrequency (%)
5 9
23.7%
3 9
23.7%
6 8
21.1%
2 4
10.5%
1 3
 
7.9%
) 2
 
5.3%
( 2
 
5.3%
4 1
 
2.6%
Latin
ValueCountFrequency (%)
J 1
25.0%
N 1
25.0%
Y 1
25.0%
S 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2088
98.0%
ASCII 42
 
2.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
국 154
 
7.4%
약 153
 
7.3%
의 145
 
6.9%
원 145
 
6.9%
과 95
 
4.5%
이 40
 
1.9%
성 37
 
1.8%
소 37
 
1.8%
리 36
 
1.7%
세 29
 
1.4%
Other values (257) 1217
58.3%
ASCII
ValueCountFrequency (%)
5 9
21.4%
3 9
21.4%
6 8
19.0%
2 4
9.5%
1 3
 
7.1%
) 2
 
4.8%
( 2
 
4.8%
4 1
 
2.4%
J 1
 
2.4%
N 1
 
2.4%
Other values (2) 2
 
4.8%

소재지(도로명주소)
Text

Distinct290
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-03-14T19:03:34.400682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length52
Mean length37.467797
Min length19

Characters and Unicode

Total characters11053
Distinct characters242
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

Unique285 ?
Unique (%)96.6%

Sample

1st row경기도 성남시 수정구 수정로171번길 10, 성남시의료원 (태평동)
2nd row경기도 성남시 수정구 수정로 76, 지하3~10층 (수진동)
3rd row경기도 성남시 수정구 성남대로 1171, 삼성화재빌딩 1층일부, 2~9층 (수진동)
4th row경기도 성남시 수정구 수정로 91 (태평동)
5th row경기도 성남시 수정구 수정로 183 (태평동)
ValueCountFrequency (%)
경기도 295
 
13.0%
성남시 295
 
13.0%
분당구 164
 
7.2%
수정구 95
 
4.2%
1층 56
 
2.5%
서현동 36
 
1.6%
중원구 36
 
1.6%
창곡동 27
 
1.2%
수정로 27
 
1.2%
2층 23
 
1.0%
Other values (569) 1223
53.7%
2024-03-14T19:03:35.979916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1984
 
17.9%
1 486
 
4.4%
, 409
 
3.7%
성 379
 
3.4%
남 345
 
3.1%
구 311
 
2.8%
동 309
 
2.8%
도 306
 
2.8%
시 306
 
2.8%
로 298
 
2.7%
Other values (232) 5920
53.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6095
55.1%
Space Separator 1984
 
17.9%
Decimal Number 1924
 
17.4%
Other Punctuation 411
 
3.7%
Open Punctuation 278
 
2.5%
Close Punctuation 278
 
2.5%
Dash Punctuation 38
 
0.3%
Uppercase Letter 26
 
0.2%
Math Symbol 18
 
0.2%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 379
 
6.2%
남 345
 
5.7%
구 311
 
5.1%
동 309
 
5.1%
도 306
 
5.0%
시 306
 
5.0%
로 298
 
4.9%
경 295
 
4.8%
기 295
 
4.8%
호 204
 
3.3%
Other values (204) 3047
50.0%
Decimal Number
ValueCountFrequency (%)
1 486
25.3%
0 290
15.1%
2 245
12.7%
3 245
12.7%
4 155
 
8.1%
5 141
 
7.3%
6 104
 
5.4%
7 95
 
4.9%
8 83
 
4.3%
9 80
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
A 6
23.1%
C 4
15.4%
S 3
11.5%
I 3
11.5%
B 2
 
7.7%
M 2
 
7.7%
R 2
 
7.7%
D 2
 
7.7%
K 1
 
3.8%
G 1
 
3.8%
Other Punctuation
ValueCountFrequency (%)
, 409
99.5%
. 2
 
0.5%
Space Separator
ValueCountFrequency (%)
1984
100.0%
Open Punctuation
ValueCountFrequency (%)
( 278
100.0%
Close Punctuation
ValueCountFrequency (%)
) 278
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%
Math Symbol
ValueCountFrequency (%)
~ 18
100.0%
Letter Number
ValueCountFrequency (%)
Ⅳ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6095
55.1%
Common 4931
44.6%
Latin 27
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 379
 
6.2%
남 345
 
5.7%
구 311
 
5.1%
동 309
 
5.1%
도 306
 
5.0%
시 306
 
5.0%
로 298
 
4.9%
경 295
 
4.8%
기 295
 
4.8%
호 204
 
3.3%
Other values (204) 3047
50.0%
Common
ValueCountFrequency (%)
1984
40.2%
1 486
 
9.9%
, 409
 
8.3%
0 290
 
5.9%
( 278
 
5.6%
) 278
 
5.6%
2 245
 
5.0%
3 245
 
5.0%
4 155
 
3.1%
5 141
 
2.9%
Other values (7) 420
 
8.5%
Latin
ValueCountFrequency (%)
A 6
22.2%
C 4
14.8%
S 3
11.1%
I 3
11.1%
B 2
 
7.4%
M 2
 
7.4%
R 2
 
7.4%
D 2
 
7.4%
K 1
 
3.7%
Ⅳ 1
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6095
55.1%
ASCII 4957
44.8%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1984
40.0%
1 486
 
9.8%
, 409
 
8.3%
0 290
 
5.9%
( 278
 
5.6%
) 278
 
5.6%
2 245
 
4.9%
3 245
 
4.9%
4 155
 
3.1%
5 141
 
2.8%
Other values (17) 446
 
9.0%
Hangul
ValueCountFrequency (%)
성 379
 
6.2%
남 345
 
5.7%
구 311
 
5.1%
동 309
 
5.1%
도 306
 
5.0%
시 306
 
5.0%
로 298
 
4.9%
경 295
 
4.8%
기 295
 
4.8%
호 204
 
3.3%
Other values (204) 3047
50.0%
Number Forms
ValueCountFrequency (%)
Ⅳ 1
100.0%

전화번호
Text

Distinct294
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-03-14T19:03:36.915689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.064407
Min length9

Characters and Unicode

Total characters3559
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

Unique293 ?
Unique (%)99.3%

Sample

1st row031-738-7000
2nd row031-750-6000
3rd row031-751-2075
4th row031-752-1119
5th row031-756-8355
ValueCountFrequency (%)
031-705-9766 2
 
0.7%
031-714-5050 1
 
0.3%
031-711-9311 1
 
0.3%
031-698-3088 1
 
0.3%
031-701-1175 1
 
0.3%
031-778-7476 1
 
0.3%
031-711-0365 1
 
0.3%
031-707-2888 1
 
0.3%
031-607-7551 1
 
0.3%
031-778-8748 1
 
0.3%
Other values (284) 284
96.3%
2024-03-14T19:03:38.279243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 597
16.8%
- 588
16.5%
1 497
14.0%
3 455
12.8%
7 451
12.7%
5 244
6.9%
2 181
 
5.1%
8 164
 
4.6%
6 130
 
3.7%
4 129
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2971
83.5%
Dash Punctuation 588
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 597
20.1%
1 497
16.7%
3 455
15.3%
7 451
15.2%
5 244
8.2%
2 181
 
6.1%
8 164
 
5.5%
6 130
 
4.4%
4 129
 
4.3%
9 123
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 588
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3559
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 597
16.8%
- 588
16.5%
1 497
14.0%
3 455
12.8%
7 451
12.7%
5 244
6.9%
2 181
 
5.1%
8 164
 
4.6%
6 130
 
3.7%
4 129
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3559
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 597
16.8%
- 588
16.5%
1 497
14.0%
3 455
12.8%
7 451
12.7%
5 244
6.9%
2 181
 
5.1%
8 164
 
4.6%
6 130
 
3.7%
4 129
 
3.6%

진료과목
Text

MISSING 

Distinct90
Distinct (%)62.9%
Missing152
Missing (%)51.5%
Memory size2.4 KiB
2024-03-14T19:03:39.079787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length161
Median length60
Mean length26.48951
Min length2

Characters and Unicode

Total characters3788
Distinct characters69
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

Unique73 ?
Unique (%)51.0%

Sample

1st row내과,소아청소년과,신경과,정신건강의학과,피부과,외과,흉부외과,정형외과,신경외과,산부인과,이비인후과,비뇨의학과,재활의학과,마취통증의학과,영상의학과,가정의학과,응급의학과,병리과,진단검사의학과,치과보철과,소아치과,치주과,치과보존과,구강내과,구강악안면방사선과,예방치과,구강안면외과,통합치의학과
2nd row내과,소아청소년과,신경과,외과,정형외과,신경외과,산부인과,재활의학과,마취통증의학과,영상의학과,응급의학과,진단검사의학과
3rd row내과,소아청소년과,신경과,외과,정형외과,신경외과,마취통증의학과,영상의학과,가정의학과,응급의학과,진단검사의학과
4th row내과,소아청소년과,피부과,외과,정형외과,산부인과,마취통증의학과,가정의학과
5th row내과,신경과,정형외과,신경외과,마취통증의학과,영상의학과,가정의학과
ValueCountFrequency (%)
내과,소아청소년과,이비인후과 14
 
9.8%
피부과,성형외과 8
 
5.6%
정형외과,신경외과,재활의학과,마취통증의학과 7
 
4.9%
피부과 7
 
4.9%
이비인후과 5
 
3.5%
산부인과 4
 
2.8%
내과,소아청소년과,피부과,이비인후과 3
 
2.1%
정신건강의학과 3
 
2.1%
내과,신경과,정형외과,신경외과,재활의학과,마취통증의학과,영상의학과,가정의학과 3
 
2.1%
내과,소아청소년과,피부과,이비인후과,가정의학과 2
 
1.4%
Other values (80) 87
60.8%
2024-03-14T19:03:40.379920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 744
19.6%
, 587
15.5%
학 206
 
5.4%
의 203
 
5.4%
외 154
 
4.1%
소 121
 
3.2%
정 107
 
2.8%
부 97
 
2.6%
내 85
 
2.2%
신 81
 
2.1%
Other values (59) 1403
37.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3201
84.5%
Other Punctuation 587
 
15.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 744
23.2%
학 206
 
6.4%
의 203
 
6.3%
외 154
 
4.8%
소 121
 
3.8%
정 107
 
3.3%
부 97
 
3.0%
내 85
 
2.7%
신 81
 
2.5%
인 80
 
2.5%
Other values (58) 1323
41.3%
Other Punctuation
ValueCountFrequency (%)
, 587
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3201
84.5%
Common 587
 
15.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 744
23.2%
학 206
 
6.4%
의 203
 
6.3%
외 154
 
4.8%
소 121
 
3.8%
정 107
 
3.3%
부 97
 
3.0%
내 85
 
2.7%
신 81
 
2.5%
인 80
 
2.5%
Other values (58) 1323
41.3%
Common
ValueCountFrequency (%)
, 587
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3201
84.5%
ASCII 587
 
15.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 744
23.2%
학 206
 
6.4%
의 203
 
6.3%
외 154
 
4.8%
소 121
 
3.8%
정 107
 
3.3%
부 97
 
3.0%
내 85
 
2.7%
신 81
 
2.5%
인 80
 
2.5%
Other values (58) 1323
41.3%
ASCII
ValueCountFrequency (%)
, 587
100.0%

운영시간_1일차(2_9)
Text

MISSING 

Distinct55
Distinct (%)36.9%
Missing146
Missing (%)49.5%
Memory size2.4 KiB
2024-03-14T19:03:41.243980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length10.637584
Min length5

Characters and Unicode

Total characters1585
Distinct characters17
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

Unique29 ?
Unique (%)19.5%

Sample

1st row응급실운영
2nd row응급실운영
3rd row응급실운영
4th row09:00~15:00
5th row09:30~16:00
ValueCountFrequency (%)
09:00~13:00 19
 
12.8%
응급실운영 9
 
6.0%
09:00~19:00 8
 
5.4%
10:00~19:00 7
 
4.7%
09:00~21:00 7
 
4.7%
09:00~20:00 6
 
4.0%
09:00~14:00 5
 
3.4%
10:00~18:00 5
 
3.4%
09:00~22:00 5
 
3.4%
10:00~17:00 5
 
3.4%
Other values (45) 73
49.0%
2024-03-14T19:03:42.541333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 678
42.8%
: 280
17.7%
1 172
 
10.9%
~ 140
 
8.8%
9 98
 
6.2%
2 56
 
3.5%
3 53
 
3.3%
8 20
 
1.3%
7 14
 
0.9%
4 11
 
0.7%
Other values (7) 63
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1120
70.7%
Other Punctuation 280
 
17.7%
Math Symbol 140
 
8.8%
Other Letter 45
 
2.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 678
60.5%
1 172
 
15.4%
9 98
 
8.8%
2 56
 
5.0%
3 53
 
4.7%
8 20
 
1.8%
7 14
 
1.2%
4 11
 
1.0%
6 9
 
0.8%
5 9
 
0.8%
Other Letter
ValueCountFrequency (%)
실 9
20.0%
영 9
20.0%
운 9
20.0%
급 9
20.0%
응 9
20.0%
Other Punctuation
ValueCountFrequency (%)
: 280
100.0%
Math Symbol
ValueCountFrequency (%)
~ 140
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1540
97.2%
Hangul 45
 
2.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 678
44.0%
: 280
18.2%
1 172
 
11.2%
~ 140
 
9.1%
9 98
 
6.4%
2 56
 
3.6%
3 53
 
3.4%
8 20
 
1.3%
7 14
 
0.9%
4 11
 
0.7%
Other values (2) 18
 
1.2%
Hangul
ValueCountFrequency (%)
실 9
20.0%
영 9
20.0%
운 9
20.0%
급 9
20.0%
응 9
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1540
97.2%
Hangul 45
 
2.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 678
44.0%
: 280
18.2%
1 172
 
11.2%
~ 140
 
9.1%
9 98
 
6.4%
2 56
 
3.6%
3 53
 
3.4%
8 20
 
1.3%
7 14
 
0.9%
4 11
 
0.7%
Other values (2) 18
 
1.2%
Hangul
ValueCountFrequency (%)
실 9
20.0%
영 9
20.0%
운 9
20.0%
급 9
20.0%
응 9
20.0%

운영시간_2일차(2_10)
Text

MISSING 

Distinct30
Distinct (%)54.5%
Missing240
Missing (%)81.4%
Memory size2.4 KiB
2024-03-14T19:03:43.312177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length10.018182
Min length5

Characters and Unicode

Total characters551
Distinct characters17
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

Unique20 ?
Unique (%)36.4%

Sample

1st row응급실운영
2nd row응급실운영
3rd row응급실운영
4th row09:00~13:00
5th row09:00~14:00
ValueCountFrequency (%)
응급실운영 9
16.4%
09:00~13:00 6
 
10.9%
09:00~22:00 3
 
5.5%
09:00~21:00 3
 
5.5%
09:00~19:00 3
 
5.5%
09:00~14:00 3
 
5.5%
13:00~19:00 2
 
3.6%
11:00~15:00 2
 
3.6%
22:00~01:00 2
 
3.6%
10:00~19:00 2
 
3.6%
Other values (20) 20
36.4%
2024-03-14T19:03:44.466086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 216
39.2%
: 92
16.7%
1 59
 
10.7%
~ 46
 
8.3%
9 31
 
5.6%
2 27
 
4.9%
3 16
 
2.9%
급 9
 
1.6%
응 9
 
1.6%
영 9
 
1.6%
Other values (7) 37
 
6.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 368
66.8%
Other Punctuation 92
 
16.7%
Math Symbol 46
 
8.3%
Other Letter 45
 
8.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 216
58.7%
1 59
 
16.0%
9 31
 
8.4%
2 27
 
7.3%
3 16
 
4.3%
4 8
 
2.2%
5 4
 
1.1%
8 4
 
1.1%
7 2
 
0.5%
6 1
 
0.3%
Other Letter
ValueCountFrequency (%)
급 9
20.0%
응 9
20.0%
영 9
20.0%
운 9
20.0%
실 9
20.0%
Other Punctuation
ValueCountFrequency (%)
: 92
100.0%
Math Symbol
ValueCountFrequency (%)
~ 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 506
91.8%
Hangul 45
 
8.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 216
42.7%
: 92
18.2%
1 59
 
11.7%
~ 46
 
9.1%
9 31
 
6.1%
2 27
 
5.3%
3 16
 
3.2%
4 8
 
1.6%
5 4
 
0.8%
8 4
 
0.8%
Other values (2) 3
 
0.6%
Hangul
ValueCountFrequency (%)
급 9
20.0%
응 9
20.0%
영 9
20.0%
운 9
20.0%
실 9
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 506
91.8%
Hangul 45
 
8.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 216
42.7%
: 92
18.2%
1 59
 
11.7%
~ 46
 
9.1%
9 31
 
6.1%
2 27
 
5.3%
3 16
 
3.2%
4 8
 
1.6%
5 4
 
0.8%
8 4
 
0.8%
Other values (2) 3
 
0.6%
Hangul
ValueCountFrequency (%)
급 9
20.0%
응 9
20.0%
영 9
20.0%
운 9
20.0%
실 9
20.0%

운영시간_3일차(2_11)
Text

MISSING 

Distinct47
Distinct (%)54.7%
Missing209
Missing (%)70.8%
Memory size2.4 KiB
2024-03-14T19:03:45.357577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length10.372093
Min length5

Characters and Unicode

Total characters892
Distinct characters17
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

Unique30 ?
Unique (%)34.9%

Sample

1st row응급실운영
2nd row응급실운영
3rd row응급실운영
4th row09:00~15:00
5th row09:00~15:00
ValueCountFrequency (%)
응급실운영 9
 
10.5%
09:00~14:00 7
 
8.1%
09:00~13:00 4
 
4.7%
09:00~19:00 4
 
4.7%
09:00~21:00 4
 
4.7%
10:00~16:00 3
 
3.5%
09:00~15:00 3
 
3.5%
09:00~20:00 3
 
3.5%
09:00~22:00 3
 
3.5%
13:00~19:00 2
 
2.3%
Other values (37) 44
51.2%
2024-03-14T19:03:46.635549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 361
40.5%
: 154
17.3%
1 93
 
10.4%
~ 77
 
8.6%
9 50
 
5.6%
2 38
 
4.3%
3 30
 
3.4%
4 14
 
1.6%
8 11
 
1.2%
응 9
 
1.0%
Other values (7) 55
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 616
69.1%
Other Punctuation 154
 
17.3%
Math Symbol 77
 
8.6%
Other Letter 45
 
5.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 361
58.6%
1 93
 
15.1%
9 50
 
8.1%
2 38
 
6.2%
3 30
 
4.9%
4 14
 
2.3%
8 11
 
1.8%
5 8
 
1.3%
7 6
 
1.0%
6 5
 
0.8%
Other Letter
ValueCountFrequency (%)
응 9
20.0%
급 9
20.0%
영 9
20.0%
운 9
20.0%
실 9
20.0%
Other Punctuation
ValueCountFrequency (%)
: 154
100.0%
Math Symbol
ValueCountFrequency (%)
~ 77
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 847
95.0%
Hangul 45
 
5.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 361
42.6%
: 154
18.2%
1 93
 
11.0%
~ 77
 
9.1%
9 50
 
5.9%
2 38
 
4.5%
3 30
 
3.5%
4 14
 
1.7%
8 11
 
1.3%
5 8
 
0.9%
Other values (2) 11
 
1.3%
Hangul
ValueCountFrequency (%)
응 9
20.0%
급 9
20.0%
영 9
20.0%
운 9
20.0%
실 9
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 847
95.0%
Hangul 45
 
5.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 361
42.6%
: 154
18.2%
1 93
 
11.0%
~ 77
 
9.1%
9 50
 
5.9%
2 38
 
4.5%
3 30
 
3.5%
4 14
 
1.7%
8 11
 
1.3%
5 8
 
0.9%
Other values (2) 11
 
1.3%
Hangul
ValueCountFrequency (%)
응 9
20.0%
급 9
20.0%
영 9
20.0%
운 9
20.0%
실 9
20.0%

운영시간_4일차(2_12)
Text

MISSING 

Distinct69
Distinct (%)25.7%
Missing26
Missing (%)8.8%
Memory size2.4 KiB
2024-03-14T19:03:47.648105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length10.799257
Min length5

Characters and Unicode

Total characters2905
Distinct characters17
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

Unique33 ?
Unique (%)12.3%

Sample

1st row응급실운영
2nd row응급실운영
3rd row응급실운영
4th row09:00~18:30
5th row09:00~18:00
ValueCountFrequency (%)
09:00~18:00 30
 
11.2%
09:00~13:00 22
 
8.2%
09:00~19:00 22
 
8.2%
09:00~14:00 15
 
5.6%
09:00~21:00 14
 
5.2%
09:00~20:00 13
 
4.8%
10:00~19:00 12
 
4.5%
응급실운영 9
 
3.3%
09:00~16:00 7
 
2.6%
10:00~16:00 6
 
2.2%
Other values (59) 119
44.2%
2024-03-14T19:03:48.991775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1241
42.7%
: 520
17.9%
1 285
 
9.8%
~ 260
 
9.0%
9 224
 
7.7%
3 109
 
3.8%
2 80
 
2.8%
8 73
 
2.5%
4 27
 
0.9%
7 16
 
0.6%
Other values (7) 70
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2080
71.6%
Other Punctuation 520
 
17.9%
Math Symbol 260
 
9.0%
Other Letter 45
 
1.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1241
59.7%
1 285
 
13.7%
9 224
 
10.8%
3 109
 
5.2%
2 80
 
3.8%
8 73
 
3.5%
4 27
 
1.3%
7 16
 
0.8%
6 15
 
0.7%
5 10
 
0.5%
Other Letter
ValueCountFrequency (%)
응 9
20.0%
급 9
20.0%
실 9
20.0%
운 9
20.0%
영 9
20.0%
Other Punctuation
ValueCountFrequency (%)
: 520
100.0%
Math Symbol
ValueCountFrequency (%)
~ 260
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2860
98.5%
Hangul 45
 
1.5%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1241
43.4%
: 520
18.2%
1 285
 
10.0%
~ 260
 
9.1%
9 224
 
7.8%
3 109
 
3.8%
2 80
 
2.8%
8 73
 
2.6%
4 27
 
0.9%
7 16
 
0.6%
Other values (2) 25
 
0.9%
Hangul
ValueCountFrequency (%)
응 9
20.0%
급 9
20.0%
실 9
20.0%
운 9
20.0%
영 9
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2860
98.5%
Hangul 45
 
1.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1241
43.4%
: 520
18.2%
1 285
 
10.0%
~ 260
 
9.1%
9 224
 
7.8%
3 109
 
3.8%
2 80
 
2.8%
8 73
 
2.6%
4 27
 
0.9%
7 16
 
0.6%
Other values (2) 25
 
0.9%
Hangul
ValueCountFrequency (%)
응 9
20.0%
급 9
20.0%
실 9
20.0%
운 9
20.0%
영 9
20.0%

Correlations

2024-03-14T19:03:49.267109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구동병원분류진료과목운영시간_1일차(2_9)운영시간_2일차(2_10)운영시간_3일차(2_11)운영시간_4일차(2_12)
구1.0001.0000.0000.4510.0000.0000.5320.353
동1.0001.0000.6670.4120.0000.7530.6720.000
병원분류0.0000.6671.0000.9960.0000.0000.0000.000
진료과목0.4510.4120.9961.0000.8770.0000.9620.717
운영시간_1일차(2_9)0.0000.0000.0000.8771.0000.9910.9960.999
운영시간_2일차(2_10)0.0000.7530.0000.0000.9911.0000.9960.994
운영시간_3일차(2_11)0.5320.6720.0000.9620.9960.9961.0000.996
운영시간_4일차(2_12)0.3530.0000.0000.7170.9990.9940.9961.000
2024-03-14T19:03:49.561491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
동병원분류구
동1.0000.3170.956
병원분류0.3171.0000.000
구0.9560.0001.000
2024-03-14T19:03:49.804786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구동병원분류
구1.0000.9560.000
동0.9561.0000.317
병원분류0.0000.3171.000

Missing values

2024-03-14T19:03:27.704012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T19:03:28.209702image/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.
2024-03-14T19:03:28.582163image/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

구동병원분류기관명소재지(도로명주소)전화번호진료과목운영시간_1일차(2_9)운영시간_2일차(2_10)운영시간_3일차(2_11)운영시간_4일차(2_12)
0수정구태평동지역응급의료센터성남시의료원경기도 성남시 수정구 수정로171번길 10, 성남시의료원 (태평동)031-738-7000내과,소아청소년과,신경과,정신건강의학과,피부과,외과,흉부외과,정형외과,신경외과,산부인과,이비인후과,비뇨의학과,재활의학과,마취통증의학과,영상의학과,가정의학과,응급의학과,병리과,진단검사의학과,치과보철과,소아치과,치주과,치과보존과,구강내과,구강악안면방사선과,예방치과,구강안면외과,통합치의학과응급실운영응급실운영응급실운영응급실운영
1수정구수진동지역응급의료센터순천의료재단성남정병원경기도 성남시 수정구 수정로 76, 지하3~10층 (수진동)031-750-6000내과,소아청소년과,신경과,외과,정형외과,신경외과,산부인과,재활의학과,마취통증의학과,영상의학과,응급의학과,진단검사의학과응급실운영응급실운영응급실운영응급실운영
2수정구수진동응급의료시설성모윌병원경기도 성남시 수정구 성남대로 1171, 삼성화재빌딩 1층일부, 2~9층 (수진동)031-751-2075내과,소아청소년과,신경과,외과,정형외과,신경외과,마취통증의학과,영상의학과,가정의학과,응급의학과,진단검사의학과응급실운영응급실운영응급실운영응급실운영
3수정구태평동병원곽여성병원경기도 성남시 수정구 수정로 91 (태평동)031-752-1119내과,소아청소년과,피부과,외과,정형외과,산부인과,마취통증의학과,가정의학과<NA><NA>09:00~15:0009:00~18:30
4수정구태평동병원지우병원경기도 성남시 수정구 수정로 183 (태평동)031-756-8355내과,신경과,정형외과,신경외과,마취통증의학과,영상의학과,가정의학과<NA><NA><NA>09:00~18:00
5수정구신흥동병원연세스타병원경기도 성남시 수정구 산성대로 267, 5층 일부, 6층 (신흥동)1670-7088내과,정형외과,신경외과,재활의학과,마취통증의학과,영상의학과<NA><NA><NA>09:00~18:00
6수정구수진동한방병원성신한방병원경기도 성남시 수정구 성남대로 1170, 의남빌딩 7층 일부,8층 (수진동)031-722-1175한방내과,한방부인과,한방소아과,한방안이비인후피부과,한방신경정신과,한방재활의학과,사상체질과,침구과09:00~15:00<NA>09:00~15:0009:00~15:00
7수정구창곡동한방병원경희위례한방병원경기도 성남시 수정구 위례광장로 300, 위례중앙타워 4층 410~416호, 421호, 422-1호 (창곡동)031-759-7755정형외과,한방내과,한방부인과,한방소아과,한방안이비인후피부과,한방신경정신과,한방재활의학과,사상체질과,침구과09:30~16:00<NA>09:30~16:0009:30~16:00
8수정구태평동의원한솔정형외과의원경기도 성남시 수정구 수정로 147, 1층 (태평동)031-751-7753내과,피부과,외과,정형외과,신경외과,비뇨의학과<NA><NA><NA>09:00~18:00
9수정구단대동의원삼성드림소아청소년과의원경기도 성남시 수정구 산성대로 433 (단대동, 2층)031-735-7355소아청소년과09:00~13:00<NA><NA>09:00~13:00
구동병원분류기관명소재지(도로명주소)전화번호진료과목운영시간_1일차(2_9)운영시간_2일차(2_10)운영시간_3일차(2_11)운영시간_4일차(2_12)
285분당구야탑동약국분당세계로약국경기도 성남시 분당구 야탑로75번길 9, 금호프라자 1층 101호 (야탑동)031-701-1217<NA><NA><NA><NA>10:00~17:00
286분당구구미동약국더사랑약국경기도 성남시 분당구 돌마로 68, 분당프라자 5층 508호 (구미동)031-716-8209<NA><NA><NA><NA>09:00~19:00
287분당구서현동약국가까운상생약국경기도 성남시 분당구 서현로180번길 19, 비전월드 1층 101-13호 (서현동)031-702-8276<NA><NA>09:30~15:0009:30~15:0008:30~19:30
288분당구정자동약국정자역약국경기도 성남시 분당구 성남대로331번길 3-3, 젤존타워III 1층 111호 (정자동)031-712-5911<NA>12:00~20:00<NA>12:00~20:0012:00~20:00
289분당구정자동약국아프지마오약국경기도 성남시 분당구 불정로 134, 이마트 1층 (정자동)031-719-7309<NA>10:00~21:0011:00~21:00<NA>10:00~21:00
290분당구서현동약국서현5층약국경기도 성남시 분당구 황새울로 332, 분당문화센터 5층 501-1호 (서현동)031-707-3705<NA>10:00~17:00<NA><NA><NA>
291분당구야탑동약국선화약국경기도 성남시 분당구 판교로 477(야탑동)031-705-9766<NA>10:00~19:0013:00~19:0013:00~19:0010:00~21:00
292분당구서현동약국분당백화점약국경기도 성남시 분당구 서현로210번길 17, 106호 (서현동, 광림프라자)031-701-2231<NA>10:00~20:0011:00~17:0011:00~21:3010:00~21:30
293분당구서현동약국서현새봄약국경기도 성남시 분당구 불정로376번길 7, 건일빌딩 202호 (서현동)031-707-5901<NA><NA><NA><NA>09:00~15:00
294분당구야탑동약국종로이화약국경기도 성남시 분당구 판교로 435, 동양프라자 1층 108호 (야탑동)031-701-8002<NA><NA><NA><NA>09:00~14:00