Overview

Dataset statistics

Number of variables12
Number of observations182
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.5 KiB
Average record size in memory98.7 B

Variable types

Categorical5
Text4
Numeric2
DateTime1

Dataset

Description경상남도 거제시 연휴의료기관 진료현황(구분, 의료기관명, 소재지, 위도, 경도, 운영시간, 전화번호, 기준일자)에 대한 정보를 제공합니다.
Author경상남도 거제시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15088084

Alerts

기준일자 has constant value ""Constant
2021-09-19(일) is highly overall correlated with 2021-09-20(월) and 2 other fieldsHigh correlation
2021-09-20(월) is highly overall correlated with 2021-09-19(일) and 2 other fieldsHigh correlation
2021-09-21(화) is highly overall correlated with 2021-09-19(일) and 2 other fieldsHigh correlation
2021-09-22(수) is highly overall correlated with 2021-09-19(일) and 2 other fieldsHigh correlation
2021-09-19(일) is highly imbalanced (70.6%)Imbalance
2021-09-20(월) is highly imbalanced (66.5%)Imbalance
2021-09-21(화) is highly imbalanced (82.3%)Imbalance
2021-09-22(수) is highly imbalanced (67.1%)Imbalance
의료기관명 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:57:43.136413
Analysis finished2023-12-10 23:57:44.570245
Duration1.43 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct7
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
의원
80 
약국
50 
한의원
35 
병원
 
6
치과병·의원
 
6
Other values (2)
 
5

Length

Max length6
Median length2
Mean length2.4340659
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row응급의료기관
2nd row응급의료기관
3rd row응급의료기관
4th row공공의료기관
5th row공공의료기관

Common Values

ValueCountFrequency (%)
의원 80
44.0%
약국 50
27.5%
한의원 35
19.2%
병원 6
 
3.3%
치과병·의원 6
 
3.3%
응급의료기관 3
 
1.6%
공공의료기관 2
 
1.1%

Length

2023-12-11T08:57:44.653989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:57:44.798203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 80
44.0%
약국 50
27.5%
한의원 35
19.2%
병원 6
 
3.3%
치과병·의원 6
 
3.3%
응급의료기관 3
 
1.6%
공공의료기관 2
 
1.1%

의료기관명
Text

UNIQUE 

Distinct182
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-11T08:57:45.115598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length6.1263736
Min length3

Characters and Unicode

Total characters1115
Distinct characters196
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

Unique182 ?
Unique (%)100.0%

Sample

1st row거붕 백병원
2nd row대우병원
3rd row맑은샘병원
4th row구조라보건진료소
5th row외포보건진료소
ValueCountFrequency (%)
거붕 1
 
0.5%
주영민비뇨기과의원 1
 
0.5%
이안과의원 1
 
0.5%
이지소아청소년과 1
 
0.5%
의원 1
 
0.5%
자이의원 1
 
0.5%
장성호이비인후과의원 1
 
0.5%
정내과의원 1
 
0.5%
정안과의원 1
 
0.5%
제일내과의원 1
 
0.5%
Other values (174) 174
94.6%
2023-12-11T08:57:45.651494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 133
 
11.9%
의 127
 
11.4%
과 52
 
4.7%
약 50
 
4.5%
국 50
 
4.5%
한 44
 
3.9%
아 18
 
1.6%
제 18
 
1.6%
이 15
 
1.3%
거 14
 
1.3%
Other values (186) 594
53.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1113
99.8%
Space Separator 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 133
 
11.9%
의 127
 
11.4%
과 52
 
4.7%
약 50
 
4.5%
국 50
 
4.5%
한 44
 
4.0%
아 18
 
1.6%
제 18
 
1.6%
이 15
 
1.3%
거 14
 
1.3%
Other values (185) 592
53.2%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1113
99.8%
Common 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 133
 
11.9%
의 127
 
11.4%
과 52
 
4.7%
약 50
 
4.5%
국 50
 
4.5%
한 44
 
4.0%
아 18
 
1.6%
제 18
 
1.6%
이 15
 
1.3%
거 14
 
1.3%
Other values (185) 592
53.2%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1113
99.8%
ASCII 2
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 133
 
11.9%
의 127
 
11.4%
과 52
 
4.7%
약 50
 
4.5%
국 50
 
4.5%
한 44
 
4.0%
아 18
 
1.6%
제 18
 
1.6%
이 15
 
1.3%
거 14
 
1.3%
Other values (185) 592
53.2%
ASCII
ValueCountFrequency (%)
2
100.0%

소재지
Text

Distinct177
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-11T08:57:45.956367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length37
Mean length26.736264
Min length14

Characters and Unicode

Total characters4866
Distinct characters141
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

Unique172 ?
Unique (%)94.5%

Sample

1st row경상남도 거제시 계룡로5길 14 (상동동)
2nd row경상남도 거제시 두모길 16 (두모동)
3rd row경상남도 거제시 연초면 거제대로 4477
4th row경상남도 거제시 일운면 구조라로 22
5th row경상남도 거제시 장목면 외포4길 12
ValueCountFrequency (%)
경상남도 182
19.4%
거제시 181
19.3%
고현동 59
 
6.3%
거제중앙로 46
 
4.9%
옥포동 26
 
2.8%
옥포로 21
 
2.2%
서문로 11
 
1.2%
아주동 9
 
1.0%
거제대로 9
 
1.0%
상동동 9
 
1.0%
Other values (275) 385
41.0%
2023-12-11T08:57:46.389427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
756
 
15.5%
제 258
 
5.3%
거 256
 
5.3%
상 202
 
4.2%
남 187
 
3.8%
경 184
 
3.8%
도 182
 
3.7%
시 182
 
3.7%
동 182
 
3.7%
로 173
 
3.6%
Other values (131) 2304
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2876
59.1%
Space Separator 756
 
15.5%
Decimal Number 752
 
15.5%
Open Punctuation 159
 
3.3%
Close Punctuation 159
 
3.3%
Other Punctuation 141
 
2.9%
Dash Punctuation 21
 
0.4%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 258
 
9.0%
거 256
 
8.9%
상 202
 
7.0%
남 187
 
6.5%
경 184
 
6.4%
도 182
 
6.3%
시 182
 
6.3%
동 182
 
6.3%
로 173
 
6.0%
현 89
 
3.1%
Other values (113) 981
34.1%
Decimal Number
ValueCountFrequency (%)
1 171
22.7%
2 141
18.8%
3 78
10.4%
4 70
9.3%
5 55
 
7.3%
8 55
 
7.3%
0 50
 
6.6%
9 50
 
6.6%
6 45
 
6.0%
7 37
 
4.9%
Other Punctuation
ValueCountFrequency (%)
， 138
97.9%
. 3
 
2.1%
Uppercase Letter
ValueCountFrequency (%)
J 1
50.0%
G 1
50.0%
Space Separator
ValueCountFrequency (%)
756
100.0%
Open Punctuation
ValueCountFrequency (%)
( 159
100.0%
Close Punctuation
ValueCountFrequency (%)
) 159
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2876
59.1%
Common 1988
40.9%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 258
 
9.0%
거 256
 
8.9%
상 202
 
7.0%
남 187
 
6.5%
경 184
 
6.4%
도 182
 
6.3%
시 182
 
6.3%
동 182
 
6.3%
로 173
 
6.0%
현 89
 
3.1%
Other values (113) 981
34.1%
Common
ValueCountFrequency (%)
756
38.0%
1 171
 
8.6%
( 159
 
8.0%
) 159
 
8.0%
2 141
 
7.1%
， 138
 
6.9%
3 78
 
3.9%
4 70
 
3.5%
5 55
 
2.8%
8 55
 
2.8%
Other values (6) 206
 
10.4%
Latin
ValueCountFrequency (%)
J 1
50.0%
G 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2876
59.1%
ASCII 1852
38.1%
None 138
 
2.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
756
40.8%
1 171
 
9.2%
( 159
 
8.6%
) 159
 
8.6%
2 141
 
7.6%
3 78
 
4.2%
4 70
 
3.8%
5 55
 
3.0%
8 55
 
3.0%
0 50
 
2.7%
Other values (7) 158
 
8.5%
Hangul
ValueCountFrequency (%)
제 258
 
9.0%
거 256
 
8.9%
상 202
 
7.0%
남 187
 
6.5%
경 184
 
6.4%
도 182
 
6.3%
시 182
 
6.3%
동 182
 
6.3%
로 173
 
6.0%
현 89
 
3.1%
Other values (113) 981
34.1%
None
ValueCountFrequency (%)
， 138
100.0%

위도
Real number (ℝ)

Distinct137
Distinct (%)75.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.887731
Minimum34.806706
Maximum35.237804
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-11T08:57:46.559295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.806706
5-th percentile34.850396
Q134.882945
median34.889541
Q334.892177
95-th percentile34.89864
Maximum35.237804
Range0.43109767
Interquartile range (IQR)0.009231575

Descriptive statistics

Standard deviation0.03424021
Coefficient of variation (CV)0.00098143988
Kurtosis61.426336
Mean34.887731
Median Absolute Deviation (MAD)0.00424582
Skewness6.1049781
Sum6349.567
Variance0.001172392
MonotonicityNot monotonic
2023-12-11T08:57:46.742409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.89044336 5
 
2.7%
34.88940436 4
 
2.2%
34.890769 4
 
2.2%
34.8898048 4
 
2.2%
34.89542806 3
 
1.6%
34.89450948 3
 
1.6%
34.86741906 2
 
1.1%
34.8674809 2
 
1.1%
34.88459872 2
 
1.1%
34.88969761 2
 
1.1%
Other values (127) 151
83.0%
ValueCountFrequency (%)
34.80670633 1
0.5%
34.80684859 1
0.5%
34.82235441 1
0.5%
34.82898895 1
0.5%
34.82914124 1
0.5%
34.82945332 1
0.5%
34.82996372 1
0.5%
34.84994742 1
0.5%
34.85032473 1
0.5%
34.85038009 1
0.5%
ValueCountFrequency (%)
35.237804 1
0.5%
34.98877008 1
0.5%
34.98860808 1
0.5%
34.98684582 1
0.5%
34.95488099 1
0.5%
34.94326155 1
0.5%
34.91801831 1
0.5%
34.89884957 1
0.5%
34.89880728 1
0.5%
34.89868828 1
0.5%

경도
Real number (ℝ)

Distinct137
Distinct (%)75.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.64712
Minimum128.47837
Maximum128.73228
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-11T08:57:46.921483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.47837
5-th percentile128.60143
Q1128.6224
median128.62556
Q3128.69059
95-th percentile128.7223
Maximum128.73228
Range0.2539052
Interquartile range (IQR)0.0681937

Descriptive statistics

Standard deviation0.043451953
Coefficient of variation (CV)0.00033776079
Kurtosis1.3778304
Mean128.64712
Median Absolute Deviation (MAD)0.0124269
Skewness-0.2085198
Sum23413.776
Variance0.0018880723
MonotonicityNot monotonic
2023-12-11T08:57:47.085397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.6223962 5
 
2.7%
128.6228478 4
 
2.2%
128.6221798 4
 
2.2%
128.6221069 4
 
2.2%
128.6907508 3
 
1.6%
128.6905899 3
 
1.6%
128.6860754 2
 
1.1%
128.6894775 2
 
1.1%
128.6247588 2
 
1.1%
128.6236706 2
 
1.1%
Other values (127) 151
83.0%
ValueCountFrequency (%)
128.4783744 1
0.5%
128.4786264 1
0.5%
128.5254744 1
0.5%
128.5641503 1
0.5%
128.5884537 1
0.5%
128.5887542 1
0.5%
128.5891063 1
0.5%
128.5903157 1
0.5%
128.5905778 1
0.5%
128.6011635 1
0.5%
ValueCountFrequency (%)
128.7322796 1
0.5%
128.7318134 1
0.5%
128.7317122 1
0.5%
128.7316046 1
0.5%
128.7315108 1
0.5%
128.7312226 1
0.5%
128.7297461 1
0.5%
128.7286402 1
0.5%
128.7255426 1
0.5%
128.7223116 1
0.5%

2021-09-18(토)
Text

Distinct54
Distinct (%)29.7%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-11T08:57:47.321941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length11
Mean length11.043956
Min length1

Characters and Unicode

Total characters2010
Distinct characters21
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

Unique27 ?
Unique (%)14.8%

Sample

1st row08:30~12:30 외래12:30~24:00응급실운영
2nd row08:30~12:30 외래12:30~24:00응급실운영
3rd row08:30~12:30 외래 12:30~24:00 응급실운영
4th rowX
5th row09:00~18:00
ValueCountFrequency (%)
09:00~13:00 51
27.3%
09:30~13:00 13
 
7.0%
09:00~14:00 12
 
6.4%
09:00~12:30 8
 
4.3%
09:30~14:00 7
 
3.7%
09:30~13:30 6
 
3.2%
08:30~13:00 6
 
3.2%
08:30~12:30 5
 
2.7%
10:00~13:00 4
 
2.1%
08:30~14:00 4
 
2.1%
Other values (46) 71
38.0%
2023-12-11T08:57:47.652739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 800
39.8%
: 362
18.0%
1 191
 
9.5%
~ 181
 
9.0%
3 179
 
8.9%
9 140
 
7.0%
2 41
 
2.0%
8 38
 
1.9%
4 30
 
1.5%
6 8
 
0.4%
Other values (11) 40
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1437
71.5%
Other Punctuation 362
 
18.0%
Math Symbol 181
 
9.0%
Other Letter 21
 
1.0%
Space Separator 5
 
0.2%
Uppercase Letter 4
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 800
55.7%
1 191
 
13.3%
3 179
 
12.5%
9 140
 
9.7%
2 41
 
2.9%
8 38
 
2.6%
4 30
 
2.1%
6 8
 
0.6%
5 8
 
0.6%
7 2
 
0.1%
Other Letter
ValueCountFrequency (%)
외 3
14.3%
래 3
14.3%
응 3
14.3%
급 3
14.3%
실 3
14.3%
운 3
14.3%
영 3
14.3%
Other Punctuation
ValueCountFrequency (%)
: 362
100.0%
Math Symbol
ValueCountFrequency (%)
~ 181
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Uppercase Letter
ValueCountFrequency (%)
X 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1985
98.8%
Hangul 21
 
1.0%
Latin 4
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 800
40.3%
: 362
18.2%
1 191
 
9.6%
~ 181
 
9.1%
3 179
 
9.0%
9 140
 
7.1%
2 41
 
2.1%
8 38
 
1.9%
4 30
 
1.5%
6 8
 
0.4%
Other values (3) 15
 
0.8%
Hangul
ValueCountFrequency (%)
외 3
14.3%
래 3
14.3%
응 3
14.3%
급 3
14.3%
실 3
14.3%
운 3
14.3%
영 3
14.3%
Latin
ValueCountFrequency (%)
X 4
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1989
99.0%
Hangul 21
 
1.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 800
40.2%
: 362
18.2%
1 191
 
9.6%
~ 181
 
9.1%
3 179
 
9.0%
9 140
 
7.0%
2 41
 
2.1%
8 38
 
1.9%
4 30
 
1.5%
6 8
 
0.4%
Other values (4) 19
 
1.0%
Hangul
ValueCountFrequency (%)
외 3
14.3%
래 3
14.3%
응 3
14.3%
급 3
14.3%
실 3
14.3%
운 3
14.3%
영 3
14.3%

2021-09-19(일)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct21
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
X
153 
09:00~13:00
 
4
응급실운영
 
3
08:30~12:30
 
2
10:00~19:00
 
2
Other values (16)
18 

Length

Max length11
Median length1
Mean length2.4395604
Min length1

Unique

Unique14 ?
Unique (%)7.7%

Sample

1st row응급실운영
2nd row응급실운영
3rd row응급실운영
4th row09:00~18:00
5th rowX

Common Values

ValueCountFrequency (%)
X 153
84.1%
09:00~13:00 4
 
2.2%
응급실운영 3
 
1.6%
08:30~12:30 2
 
1.1%
10:00~19:00 2
 
1.1%
14:00~18:00 2
 
1.1%
09:00~21:00 2
 
1.1%
09:30~21:00 1
 
0.5%
09:00~24:00 1
 
0.5%
09:00~20:00 1
 
0.5%
Other values (11) 11
 
6.0%

Length

2023-12-11T08:57:47.781024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
x 153
84.1%
09:00~13:00 4
 
2.2%
응급실운영 3
 
1.6%
08:30~12:30 2
 
1.1%
10:00~19:00 2
 
1.1%
14:00~18:00 2
 
1.1%
09:00~21:00 2
 
1.1%
08:00~16:00 1
 
0.5%
09:00~15:00 1
 
0.5%
09:30~15:00 1
 
0.5%
Other values (11) 11
 
6.0%

2021-09-20(월)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct23
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
X
146 
09:00~13:00
 
9
응급실운영
 
3
09:00~17:00
 
2
10:00~19:00
 
2
Other values (18)
20 

Length

Max length11
Median length1
Mean length2.8681319
Min length1

Unique

Unique16 ?
Unique (%)8.8%

Sample

1st row응급실운영
2nd row응급실운영
3rd row응급실운영
4th rowX
5th rowX

Common Values

ValueCountFrequency (%)
X 146
80.2%
09:00~13:00 9
 
4.9%
응급실운영 3
 
1.6%
09:00~17:00 2
 
1.1%
10:00~19:00 2
 
1.1%
10:00~21:00 2
 
1.1%
08:30~12:30 2
 
1.1%
14:00~18:00 1
 
0.5%
08:30~20:30 1
 
0.5%
09:30~14:00 1
 
0.5%
Other values (13) 13
 
7.1%

Length

2023-12-11T08:57:48.134424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
x 146
80.2%
09:00~13:00 9
 
4.9%
응급실운영 3
 
1.6%
09:00~17:00 2
 
1.1%
10:00~19:00 2
 
1.1%
10:00~21:00 2
 
1.1%
08:30~12:30 2
 
1.1%
09:00~20:00 1
 
0.5%
09:00~24:00 1
 
0.5%
09:00~19:00 1
 
0.5%
Other values (13) 13
 
7.1%

2021-09-21(화)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct10
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
X
169 
응급실운영
 
3
08:30~12:30
 
2
09:00~13:00
 
2
09:00~24:00
 
1
Other values (5)
 
5

Length

Max length11
Median length1
Mean length1.6153846
Min length1

Unique

Unique6 ?
Unique (%)3.3%

Sample

1st row응급실운영
2nd row응급실운영
3rd row응급실운영
4th rowX
5th rowX

Common Values

ValueCountFrequency (%)
X 169
92.9%
응급실운영 3
 
1.6%
08:30~12:30 2
 
1.1%
09:00~13:00 2
 
1.1%
09:00~24:00 1
 
0.5%
11:00~20:30 1
 
0.5%
10:00~19:00 1
 
0.5%
09:00~21:00 1
 
0.5%
13:00~22:00 1
 
0.5%
10:00~12:00 1
 
0.5%

Length

2023-12-11T08:57:48.244841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:57:48.355441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
x 169
92.9%
응급실운영 3
 
1.6%
08:30~12:30 2
 
1.1%
09:00~13:00 2
 
1.1%
09:00~24:00 1
 
0.5%
11:00~20:30 1
 
0.5%
10:00~19:00 1
 
0.5%
09:00~21:00 1
 
0.5%
13:00~22:00 1
 
0.5%
10:00~12:00 1
 
0.5%

2021-09-22(수)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct25
Distinct (%)13.7%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
X
147 
09:00~13:00
 
7
응급실운영
 
3
10:00~19:00
 
2
09:00~21:00
 
2
Other values (20)
21 

Length

Max length11
Median length1
Mean length2.7967033
Min length1

Unique

Unique19 ?
Unique (%)10.4%

Sample

1st row응급실운영
2nd row응급실운영
3rd row응급실운영
4th rowX
5th rowX

Common Values

ValueCountFrequency (%)
X 147
80.8%
09:00~13:00 7
 
3.8%
응급실운영 3
 
1.6%
10:00~19:00 2
 
1.1%
09:00~21:00 2
 
1.1%
08:30~12:30 2
 
1.1%
10:00~21:00 1
 
0.5%
09:00~17:00 1
 
0.5%
09:00~21:30 1
 
0.5%
10:30~21:00 1
 
0.5%
Other values (15) 15
 
8.2%

Length

2023-12-11T08:57:48.500483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
x 147
80.8%
09:00~13:00 7
 
3.8%
응급실운영 3
 
1.6%
10:00~19:00 2
 
1.1%
09:00~21:00 2
 
1.1%
08:30~12:30 2
 
1.1%
9:30~18:00 1
 
0.5%
09:00~24:00 1
 
0.5%
08:00~21:00 1
 
0.5%
10:00~12:00 1
 
0.5%
Other values (15) 15
 
8.2%

전화번호
Text

Distinct181
Distinct (%)100.0%
Missing1
Missing (%)0.5%
Memory size1.6 KiB
2023-12-11T08:57:48.731533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.005525
Min length12

Characters and Unicode

Total characters2173
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

Unique181 ?
Unique (%)100.0%

Sample

1st row055-733-0119
2nd row055-680-8123
3rd row055-736-0119
4th row055-639-6273
5th row055-636-6267
ValueCountFrequency (%)
055-733-0119 1
 
0.6%
055-636-1581 1
 
0.6%
055-687-0766 1
 
0.6%
055-636-8045 1
 
0.6%
055-638-1250 1
 
0.6%
055-687-1765 1
 
0.6%
055-636-7345 1
 
0.6%
055-633-3007 1
 
0.6%
055-632-6111 1
 
0.6%
055-634-1365 1
 
0.6%
Other values (171) 171
94.5%
2023-12-11T08:57:49.137094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 466
21.4%
- 362
16.7%
0 292
13.4%
6 248
11.4%
3 207
9.5%
8 168
 
7.7%
2 123
 
5.7%
7 116
 
5.3%
1 77
 
3.5%
4 69
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1811
83.3%
Dash Punctuation 362
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 466
25.7%
0 292
16.1%
6 248
13.7%
3 207
11.4%
8 168
 
9.3%
2 123
 
6.8%
7 116
 
6.4%
1 77
 
4.3%
4 69
 
3.8%
9 45
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 362
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2173
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 466
21.4%
- 362
16.7%
0 292
13.4%
6 248
11.4%
3 207
9.5%
8 168
 
7.7%
2 123
 
5.7%
7 116
 
5.3%
1 77
 
3.5%
4 69
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2173
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 466
21.4%
- 362
16.7%
0 292
13.4%
6 248
11.4%
3 207
9.5%
8 168
 
7.7%
2 123
 
5.7%
7 116
 
5.3%
1 77
 
3.5%
4 69
 
3.2%

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2021-09-10 00:00:00
Maximum2021-09-10 00:00:00
2023-12-11T08:57:49.278126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:57:49.398040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T08:57:44.127568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:57:43.923977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:57:44.212235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:57:44.024203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:57:49.549535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분위도경도2021-09-18(토)2021-09-19(일)2021-09-20(월)2021-09-21(화)2021-09-22(수)
구분1.0000.4290.0000.7850.8330.7480.6900.739
위도0.4291.0000.6020.0000.0000.0000.0000.000
경도0.0000.6021.0000.6750.3850.0000.5920.000
2021-09-18(토)0.7850.0000.6751.0000.9760.9720.9230.977
2021-09-19(일)0.8330.0000.3850.9761.0000.9790.9590.981
2021-09-20(월)0.7480.0000.0000.9720.9791.0000.9830.989
2021-09-21(화)0.6900.0000.5920.9230.9590.9831.0000.983
2021-09-22(수)0.7390.0000.0000.9770.9810.9890.9831.000
2023-12-11T08:57:49.675728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2021-09-19(일)2021-09-22(수)2021-09-20(월)2021-09-21(화)구분
2021-09-19(일)1.0000.7920.7860.7650.462
2021-09-22(수)0.7921.0000.8550.8280.404
2021-09-20(월)0.7860.8551.0000.8680.421
2021-09-21(화)0.7650.8280.8681.0000.437
구분0.4620.4040.4210.4371.000
2023-12-11T08:57:49.813981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도구분2021-09-19(일)2021-09-20(월)2021-09-21(화)2021-09-22(수)
위도1.0000.0100.2710.0000.0000.0000.000
경도0.0101.0000.0000.1540.0000.3180.000
구분0.2710.0001.0000.4620.4210.4370.404
2021-09-19(일)0.0000.1540.4621.0000.7860.7650.792
2021-09-20(월)0.0000.0000.4210.7861.0000.8680.855
2021-09-21(화)0.0000.3180.4370.7650.8681.0000.828
2021-09-22(수)0.0000.0000.4040.7920.8550.8281.000

Missing values

2023-12-11T08:57:44.324126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:57:44.500457image/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

구분의료기관명소재지위도경도2021-09-18(토)2021-09-19(일)2021-09-20(월)2021-09-21(화)2021-09-22(수)전화번호기준일자
0응급의료기관거붕 백병원경상남도 거제시 계룡로5길 14 (상동동)34.87365128.62562708:30~12:30 외래12:30~24:00응급실운영응급실운영응급실운영응급실운영응급실운영055-733-01192021-09-10
1응급의료기관대우병원경상남도 거제시 두모길 16 (두모동)34.871952128.72212108:30~12:30 외래12:30~24:00응급실운영응급실운영응급실운영응급실운영응급실운영055-680-81232021-09-10
2응급의료기관맑은샘병원경상남도 거제시 연초면 거제대로 447734.897724128.64365608:30~12:30 외래 12:30~24:00 응급실운영응급실운영응급실운영응급실운영응급실운영055-736-01192021-09-10
3공공의료기관구조라보건진료소경상남도 거제시 일운면 구조라로 2234.806706128.695353X09:00~18:00XXX055-639-62732021-09-10
4공공의료기관외포보건진료소경상남도 거제시 장목면 외포4길 1234.943262128.71525909:00~18:00XXXX055-636-62672021-09-10
5병원거제아동병원경상남도 거제시 동문천로 52 (고현동)34.882924128.62621208:30~16:0008:30~12:3008:30~12:3008:30~12:3008:30~12:30055-632-82252021-09-10
6병원거제중앙병원경상남도 거제시 고현로 89 (고현동)34.886703128.62225809:00~13:00X09:00~13:0009:00~13:0009:00~13:00055-635-32112021-09-10
7병원대우아동병원경상남도 거제시 옥포대첩로 38，2，3층 (옥포동)34.893529128.69180709:00~14:00X09:00~13:00X09:00~13:00055-687-85952021-09-10
8병원마하재활병원경상남도 거제시 동부면 율포로 555-1134.806849128.60116408:30~12:30XXXX055-633-30002021-09-10
9병원맑은샘센텀병원경상남도 거제대로 376235.237804128.69194409:00~13:00XXXX055-688-75002021-09-10
구분의료기관명소재지위도경도2021-09-18(토)2021-09-19(일)2021-09-20(월)2021-09-21(화)2021-09-22(수)전화번호기준일자
172한의원온누리한의원경상남도 거제시 옥포로 253 (옥포동)34.89696128.68927609:00~14:00XXXX055-687-86642021-09-10
173한의원유림한의원경상남도 거제시 옥포로 227，1층 (옥포동)34.895069128.69044109:00~13:00XXXX055-688-21212021-09-10
174한의원자경한의원경상남도 거제시 거제중앙로27길 6 (고현동)34.888812128.62236209:00~13:00XXXX055-632-10482021-09-10
175한의원지인한의원경상남도 거제시 수양로 423，2층 (수월동)34.890165128.64297309:00~13:00XXXX055-632-25682021-09-10
176한의원청구한의원경상남도 거제시 일운면 거제대로 2504，1층34.829964128.70172509:00~13:00XXXX055-635-48882021-09-10
177한의원청춘한의원경상남도 거제시 거제중앙로 1910，거제축산업협동조합 (고현동)34.888564128.62331209:00~14:0009:00~14:0009:00~14:00X09:00~14:00055-633-23682021-09-10
178한의원초을한의원경상남도 거제시 능포로 155，1층 101호 (능포동)34.877768128.7322809:30~13:0014:00~18:00XXX055-681-75332021-09-10
179한의원혜민서한의원경상남도 거제시 고현로10길 3，201호 (고현동，성원빌딩)34.887087128.6246909:00~13:00XXXX055-633-80312021-09-10
180한의원호랑이한의원경상남도 거제시 장평로 22，101호 (장평동)34.891356128.61493110:00~13:00XXXX055-634-65002021-09-10
181한의원홍제한의원경상남도 거제시 거제면 읍내로 6934.849947128.58845408:30~12:00XXXX055-634-58852021-09-10