Overview

Dataset statistics

Number of variables23
Number of observations47
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.4 KiB
Average record size in memory205.8 B

Variable types

Text3
Numeric13
Categorical7

Dataset

Description포항시 의료기관 (종합병원, 병원, 요양병원) 에 관한 데이터로 병원명, 소재지, 전화번호, 의료인력 현황을 제공합니다
Author경상북도 포항시
URLhttps://www.data.go.kr/data/15113093/fileData.do

Alerts

조산사 has constant value ""Constant
데이터 기준일자 has constant value ""Constant
일반의 is highly imbalanced (51.4%)Imbalance
치과기공사 is highly imbalanced (85.1%)Imbalance
약사 is highly imbalanced (51.7%)Imbalance
의료기관명 has unique valuesUnique
의료기관전화번호 has unique valuesUnique
병상 has 1 (2.1%) zerosZeros
전문의 has 2 (4.3%) zerosZeros
치과의사 has 41 (87.2%) zerosZeros
치과위생사 has 41 (87.2%) zerosZeros
방사선사 has 4 (8.5%) zerosZeros
임상병리사 has 22 (46.8%) zerosZeros
물리치료사 has 6 (12.8%) zerosZeros
작업치료사 has 35 (74.5%) zerosZeros
의무기록사 has 10 (21.3%) zerosZeros

Reproduction

Analysis started2024-04-06 08:36:27.612126
Analysis finished2024-04-06 08:36:28.220724
Duration0.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

의료기관명
Text

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
2024-04-06T17:36:28.536082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length17
Mean length12.659574
Min length4

Characters and Unicode

Total characters595
Distinct characters115
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

Unique47 ?
Unique (%)100.0%

Sample

1st row의료법인원경의료재단 연일요양병원
2nd row하나요양병원
3rd row의료법인현보의료재단포항해도요양병원
4th row에스포항병원
5th row의료법인 해도의료재단 제일마디요양병원
ValueCountFrequency (%)
의료법인 10
 
12.0%
경희요양병원 2
 
2.4%
경상북도 2
 
2.4%
경진의료재단 2
 
2.4%
포항송라요양병원 1
 
1.2%
포항재활의학병원 1
 
1.2%
성심요양병원 1
 
1.2%
의료법인성효의료재단 1
 
1.2%
좋은선린요양병원 1
 
1.2%
의료법인은성의료재단 1
 
1.2%
Other values (61) 61
73.5%
2024-04-06T17:36:29.437380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 49
 
8.2%
원 49
 
8.2%
병 46
 
7.7%
료 45
 
7.6%
36
 
6.1%
요 27
 
4.5%
양 27
 
4.5%
재 25
 
4.2%
인 24
 
4.0%
단 23
 
3.9%
Other values (105) 244
41.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 553
92.9%
Space Separator 36
 
6.1%
Close Punctuation 3
 
0.5%
Open Punctuation 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 49
 
8.9%
원 49
 
8.9%
병 46
 
8.3%
료 45
 
8.1%
요 27
 
4.9%
양 27
 
4.9%
재 25
 
4.5%
인 24
 
4.3%
단 23
 
4.2%
법 21
 
3.8%
Other values (102) 217
39.2%
Space Separator
ValueCountFrequency (%)
36
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 553
92.9%
Common 42
 
7.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 49
 
8.9%
원 49
 
8.9%
병 46
 
8.3%
료 45
 
8.1%
요 27
 
4.9%
양 27
 
4.9%
재 25
 
4.5%
인 24
 
4.3%
단 23
 
4.2%
법 21
 
3.8%
Other values (102) 217
39.2%
Common
ValueCountFrequency (%)
36
85.7%
) 3
 
7.1%
( 3
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 553
92.9%
ASCII 42
 
7.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 49
 
8.9%
원 49
 
8.9%
병 46
 
8.3%
료 45
 
8.1%
요 27
 
4.9%
양 27
 
4.9%
재 25
 
4.5%
인 24
 
4.3%
단 23
 
4.2%
법 21
 
3.8%
Other values (102) 217
39.2%
ASCII
ValueCountFrequency (%)
36
85.7%
) 3
 
7.1%
( 3
 
7.1%

의료기관주소(도로명)
Text

Distinct46
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size508.0 B
2024-04-06T17:36:29.964197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length38
Mean length27.468085
Min length22

Characters and Unicode

Total characters1291
Distinct characters83
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)95.7%

Sample

1st row경상북도 포항시 남구 연일읍 인주길22번길 38-23
2nd row경상북도 포항시 남구 포스코대로 382 (대도동)
3rd row경상북도 포항시 남구 중앙로 84 (해도동)
4th row경상북도 포항시 남구 희망대로 352 (이동, 에스포항병원)
5th row경상북도 포항시 남구 중앙로 98 (해도동)
ValueCountFrequency (%)
경상북도 47
16.0%
포항시 47
16.0%
북구 34
 
11.6%
남구 13
 
4.4%
장성동 10
 
3.4%
죽도동 10
 
3.4%
포스코대로 7
 
2.4%
중앙로 6
 
2.0%
흥해읍 4
 
1.4%
새천년대로 4
 
1.4%
Other values (94) 111
37.9%
2024-04-06T17:36:30.876982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
246
19.1%
북 81
 
6.3%
도 65
 
5.0%
포 56
 
4.3%
상 52
 
4.0%
항 48
 
3.7%
시 48
 
3.7%
구 48
 
3.7%
경 47
 
3.6%
동 44
 
3.4%
Other values (73) 556
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 778
60.3%
Space Separator 246
 
19.1%
Decimal Number 169
 
13.1%
Open Punctuation 40
 
3.1%
Close Punctuation 40
 
3.1%
Dash Punctuation 10
 
0.8%
Other Punctuation 8
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
북 81
 
10.4%
도 65
 
8.4%
포 56
 
7.2%
상 52
 
6.7%
항 48
 
6.2%
시 48
 
6.2%
구 48
 
6.2%
경 47
 
6.0%
동 44
 
5.7%
로 43
 
5.5%
Other values (58) 246
31.6%
Decimal Number
ValueCountFrequency (%)
1 35
20.7%
2 30
17.8%
3 22
13.0%
5 14
 
8.3%
8 13
 
7.7%
9 13
 
7.7%
7 13
 
7.7%
6 12
 
7.1%
0 11
 
6.5%
4 6
 
3.6%
Space Separator
ValueCountFrequency (%)
246
100.0%
Open Punctuation
ValueCountFrequency (%)
( 40
100.0%
Close Punctuation
ValueCountFrequency (%)
) 40
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 778
60.3%
Common 513
39.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
북 81
 
10.4%
도 65
 
8.4%
포 56
 
7.2%
상 52
 
6.7%
항 48
 
6.2%
시 48
 
6.2%
구 48
 
6.2%
경 47
 
6.0%
동 44
 
5.7%
로 43
 
5.5%
Other values (58) 246
31.6%
Common
ValueCountFrequency (%)
246
48.0%
( 40
 
7.8%
) 40
 
7.8%
1 35
 
6.8%
2 30
 
5.8%
3 22
 
4.3%
5 14
 
2.7%
8 13
 
2.5%
9 13
 
2.5%
7 13
 
2.5%
Other values (5) 47
 
9.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 778
60.3%
ASCII 513
39.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
246
48.0%
( 40
 
7.8%
) 40
 
7.8%
1 35
 
6.8%
2 30
 
5.8%
3 22
 
4.3%
5 14
 
2.7%
8 13
 
2.5%
9 13
 
2.5%
7 13
 
2.5%
Other values (5) 47
 
9.2%
Hangul
ValueCountFrequency (%)
북 81
 
10.4%
도 65
 
8.4%
포 56
 
7.2%
상 52
 
6.7%
항 48
 
6.2%
시 48
 
6.2%
구 48
 
6.2%
경 47
 
6.0%
동 44
 
5.7%
로 43
 
5.5%
Other values (58) 246
31.6%

의료기관전화번호
Text

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
2024-04-06T17:36:31.378147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters564
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

Unique47 ?
Unique (%)100.0%

Sample

1st row054-286-0575
2nd row054-256-5000
3rd row054-244-7582
4th row054-289-9000
5th row054-273-0001
ValueCountFrequency (%)
054-286-0575 1
 
2.1%
054-282-7752 1
 
2.1%
054-231-7533 1
 
2.1%
054-255-7533 1
 
2.1%
054-284-2880 1
 
2.1%
054-250-1000 1
 
2.1%
054-277-2800 1
 
2.1%
054-245-6200 1
 
2.1%
054-247-2889 1
 
2.1%
054-272-7582 1
 
2.1%
Other values (37) 37
78.7%
2024-04-06T17:36:32.300625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 125
22.2%
5 95
16.8%
- 94
16.7%
2 69
12.2%
4 65
11.5%
7 37
 
6.6%
8 23
 
4.1%
1 22
 
3.9%
6 14
 
2.5%
3 14
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 470
83.3%
Dash Punctuation 94
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 125
26.6%
5 95
20.2%
2 69
14.7%
4 65
13.8%
7 37
 
7.9%
8 23
 
4.9%
1 22
 
4.7%
6 14
 
3.0%
3 14
 
3.0%
9 6
 
1.3%
Dash Punctuation
ValueCountFrequency (%)
- 94
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 564
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 125
22.2%
5 95
16.8%
- 94
16.7%
2 69
12.2%
4 65
11.5%
7 37
 
6.6%
8 23
 
4.1%
1 22
 
3.9%
6 14
 
2.5%
3 14
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 564
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 125
22.2%
5 95
16.8%
- 94
16.7%
2 69
12.2%
4 65
11.5%
7 37
 
6.6%
8 23
 
4.1%
1 22
 
3.9%
6 14
 
2.5%
3 14
 
2.5%

병상
Real number (ℝ)

ZEROS 

Distinct41
Distinct (%)87.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean199.04255
Minimum0
Maximum750
Zeros1
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size555.0 B
2024-04-06T17:36:32.709498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile42.1
Q1126.5
median160
Q3275
95-th percentile379.6
Maximum750
Range750
Interquartile range (IQR)148.5

Descriptive statistics

Standard deviation133.81313
Coefficient of variation (CV)0.67228405
Kurtosis5.4603116
Mean199.04255
Median Absolute Deviation (MAD)69
Skewness1.8214891
Sum9355
Variance17905.955
MonotonicityNot monotonic
2024-04-06T17:36:33.131280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
160 3
 
6.4%
64 2
 
4.3%
298 2
 
4.3%
299 2
 
4.3%
286 2
 
4.3%
37 1
 
2.1%
143 1
 
2.1%
122 1
 
2.1%
140 1
 
2.1%
353 1
 
2.1%
Other values (31) 31
66.0%
ValueCountFrequency (%)
0 1
2.1%
30 1
2.1%
37 1
2.1%
54 1
2.1%
64 2
4.3%
71 1
2.1%
91 1
2.1%
98 1
2.1%
106 1
2.1%
120 1
2.1%
ValueCountFrequency (%)
750 1
2.1%
529 1
2.1%
382 1
2.1%
374 1
2.1%
353 1
2.1%
299 2
4.3%
298 2
4.3%
290 1
2.1%
286 2
4.3%
264 1
2.1%

전문의
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)31.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.553191
Minimum0
Maximum127
Zeros2
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size555.0 B
2024-04-06T17:36:33.419564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median4
Q36
95-th percentile35.3
Maximum127
Range127
Interquartile range (IQR)4

Descriptive statistics

Standard deviation22.611856
Coefficient of variation (CV)2.1426557
Kurtosis18.073106
Mean10.553191
Median Absolute Deviation (MAD)2
Skewness4.1134223
Sum496
Variance511.29602
MonotonicityNot monotonic
2024-04-06T17:36:33.654916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
2 9
19.1%
3 8
17.0%
4 8
17.0%
6 5
10.6%
5 3
 
6.4%
1 3
 
6.4%
18 2
 
4.3%
0 2
 
4.3%
38 1
 
2.1%
127 1
 
2.1%
Other values (5) 5
10.6%
ValueCountFrequency (%)
0 2
 
4.3%
1 3
 
6.4%
2 9
19.1%
3 8
17.0%
4 8
17.0%
5 3
 
6.4%
6 5
10.6%
9 1
 
2.1%
18 2
 
4.3%
21 1
 
2.1%
ValueCountFrequency (%)
127 1
 
2.1%
90 1
 
2.1%
38 1
 
2.1%
29 1
 
2.1%
24 1
 
2.1%
21 1
 
2.1%
18 2
 
4.3%
9 1
 
2.1%
6 5
10.6%
5 3
6.4%

일반의
Categorical

IMBALANCE 

Distinct5
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Memory size508.0 B
0
35 
1
9 
11
 
1
2
 
1
4
 
1

Length

Max length2
Median length1
Mean length1.0212766
Min length1

Unique

Unique3 ?
Unique (%)6.4%

Sample

1st row1
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 35
74.5%
1 9
 
19.1%
11 1
 
2.1%
2 1
 
2.1%
4 1
 
2.1%

Length

2024-04-06T17:36:33.881200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:36:34.074011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 35
74.5%
1 9
 
19.1%
11 1
 
2.1%
2 1
 
2.1%
4 1
 
2.1%

치과의사
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.53191489
Minimum0
Maximum12
Zeros41
Zeros (%)87.2%
Negative0
Negative (%)0.0%
Memory size555.0 B
2024-04-06T17:36:34.271238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.920723
Coefficient of variation (CV)3.6109592
Kurtosis28.685783
Mean0.53191489
Median Absolute Deviation (MAD)0
Skewness5.0535848
Sum25
Variance3.6891767
MonotonicityNot monotonic
2024-04-06T17:36:34.685643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 41
87.2%
3 2
 
4.3%
4 1
 
2.1%
12 1
 
2.1%
1 1
 
2.1%
2 1
 
2.1%
ValueCountFrequency (%)
0 41
87.2%
1 1
 
2.1%
2 1
 
2.1%
3 2
 
4.3%
4 1
 
2.1%
12 1
 
2.1%
ValueCountFrequency (%)
12 1
 
2.1%
4 1
 
2.1%
3 2
 
4.3%
2 1
 
2.1%
1 1
 
2.1%
0 41
87.2%

한의사
Categorical

Distinct5
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Memory size508.0 B
0
24 
1
10 
2
8 
3
4 
22
 
1

Length

Max length2
Median length1
Mean length1.0212766
Min length1

Unique

Unique1 ?
Unique (%)2.1%

Sample

1st row1
2nd row2
3rd row2
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 24
51.1%
1 10
21.3%
2 8
 
17.0%
3 4
 
8.5%
22 1
 
2.1%

Length

2024-04-06T17:36:35.081851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:36:35.323543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 24
51.1%
1 10
21.3%
2 8
 
17.0%
3 4
 
8.5%
22 1
 
2.1%

간호사
Real number (ℝ)

Distinct33
Distinct (%)70.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61.787234
Minimum1
Maximum764
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2024-04-06T17:36:35.567707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.6
Q113
median19
Q337
95-th percentile265.9
Maximum764
Range763
Interquartile range (IQR)24

Descriptive statistics

Standard deviation136.5056
Coefficient of variation (CV)2.2092849
Kurtosis17.468505
Mean61.787234
Median Absolute Deviation (MAD)9
Skewness4.0453923
Sum2904
Variance18633.78
MonotonicityNot monotonic
2024-04-06T17:36:35.831058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
15 4
 
8.5%
22 3
 
6.4%
10 3
 
6.4%
13 2
 
4.3%
16 2
 
4.3%
19 2
 
4.3%
23 2
 
4.3%
31 2
 
4.3%
12 2
 
4.3%
14 2
 
4.3%
Other values (23) 23
48.9%
ValueCountFrequency (%)
1 1
 
2.1%
2 1
 
2.1%
5 1
 
2.1%
7 1
 
2.1%
8 1
 
2.1%
10 3
6.4%
11 1
 
2.1%
12 2
4.3%
13 2
4.3%
14 2
4.3%
ValueCountFrequency (%)
764 1
2.1%
517 1
2.1%
301 1
2.1%
184 1
2.1%
146 1
2.1%
103 1
2.1%
80 1
2.1%
61 1
2.1%
46 1
2.1%
43 1
2.1%

조산사
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size508.0 B
0
47 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 47
100.0%

Length

2024-04-06T17:36:36.093123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:36:36.296407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 47
100.0%

의료인(전체)
Real number (ℝ)

Distinct34
Distinct (%)72.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.702128
Minimum3
Maximum895
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2024-04-06T17:36:36.492834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile9.9
Q117
median25
Q347
95-th percentile300.6
Maximum895
Range892
Interquartile range (IQR)30

Descriptive statistics

Standard deviation159.96602
Coefficient of variation (CV)2.141385
Kurtosis17.528849
Mean74.702128
Median Absolute Deviation (MAD)12
Skewness4.0615947
Sum3511
Variance25589.127
MonotonicityNot monotonic
2024-04-06T17:36:36.743180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
19 3
 
6.4%
13 3
 
6.4%
17 2
 
4.3%
15 2
 
4.3%
27 2
 
4.3%
45 2
 
4.3%
12 2
 
4.3%
21 2
 
4.3%
36 2
 
4.3%
50 2
 
4.3%
Other values (24) 25
53.2%
ValueCountFrequency (%)
3 1
 
2.1%
8 1
 
2.1%
9 1
 
2.1%
12 2
4.3%
13 3
6.4%
14 1
 
2.1%
15 2
4.3%
17 2
4.3%
18 2
4.3%
19 3
6.4%
ValueCountFrequency (%)
895 1
2.1%
622 1
2.1%
339 1
2.1%
211 1
2.1%
170 1
2.1%
132 1
2.1%
101 1
2.1%
68 1
2.1%
53 1
2.1%
50 2
4.3%

치과위생사
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1276596
Minimum0
Maximum81
Zeros41
Zeros (%)87.2%
Negative0
Negative (%)0.0%
Memory size555.0 B
2024-04-06T17:36:36.969232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum81
Range81
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.831456
Coefficient of variation (CV)5.5607843
Kurtosis45.71302
Mean2.1276596
Median Absolute Deviation (MAD)0
Skewness6.7228101
Sum100
Variance139.98335
MonotonicityNot monotonic
2024-04-06T17:36:37.224723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 41
87.2%
4 2
 
4.3%
3 1
 
2.1%
7 1
 
2.1%
81 1
 
2.1%
1 1
 
2.1%
ValueCountFrequency (%)
0 41
87.2%
1 1
 
2.1%
3 1
 
2.1%
4 2
 
4.3%
7 1
 
2.1%
81 1
 
2.1%
ValueCountFrequency (%)
81 1
 
2.1%
7 1
 
2.1%
4 2
 
4.3%
3 1
 
2.1%
1 1
 
2.1%
0 41
87.2%

방사선사
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)23.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.8297872
Minimum0
Maximum69
Zeros4
Zeros (%)8.5%
Negative0
Negative (%)0.0%
Memory size555.0 B
2024-04-06T17:36:37.467090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile26.7
Maximum69
Range69
Interquartile range (IQR)1

Descriptive statistics

Standard deviation11.884076
Coefficient of variation (CV)2.4605797
Kurtosis19.582739
Mean4.8297872
Median Absolute Deviation (MAD)0
Skewness4.2115095
Sum227
Variance141.23127
MonotonicityNot monotonic
2024-04-06T17:36:37.691608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 28
59.6%
2 5
 
10.6%
0 4
 
8.5%
5 3
 
6.4%
30 1
 
2.1%
69 1
 
2.1%
36 1
 
2.1%
4 1
 
2.1%
6 1
 
2.1%
19 1
 
2.1%
ValueCountFrequency (%)
0 4
 
8.5%
1 28
59.6%
2 5
 
10.6%
4 1
 
2.1%
5 3
 
6.4%
6 1
 
2.1%
10 1
 
2.1%
19 1
 
2.1%
30 1
 
2.1%
36 1
 
2.1%
ValueCountFrequency (%)
69 1
 
2.1%
36 1
 
2.1%
30 1
 
2.1%
19 1
 
2.1%
10 1
 
2.1%
6 1
 
2.1%
5 3
 
6.4%
4 1
 
2.1%
2 5
 
10.6%
1 28
59.6%

임상병리사
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)21.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5531915
Minimum0
Maximum45
Zeros22
Zeros (%)46.8%
Negative0
Negative (%)0.0%
Memory size555.0 B
2024-04-06T17:36:37.901646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile20.8
Maximum45
Range45
Interquartile range (IQR)1

Descriptive statistics

Standard deviation9.0332923
Coefficient of variation (CV)2.5423038
Kurtosis12.51397
Mean3.5531915
Median Absolute Deviation (MAD)1
Skewness3.5062953
Sum167
Variance81.60037
MonotonicityNot monotonic
2024-04-06T17:36:38.094319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 22
46.8%
1 15
31.9%
4 3
 
6.4%
22 1
 
2.1%
45 1
 
2.1%
36 1
 
2.1%
5 1
 
2.1%
3 1
 
2.1%
18 1
 
2.1%
11 1
 
2.1%
ValueCountFrequency (%)
0 22
46.8%
1 15
31.9%
3 1
 
2.1%
4 3
 
6.4%
5 1
 
2.1%
11 1
 
2.1%
18 1
 
2.1%
22 1
 
2.1%
36 1
 
2.1%
45 1
 
2.1%
ValueCountFrequency (%)
45 1
 
2.1%
36 1
 
2.1%
22 1
 
2.1%
18 1
 
2.1%
11 1
 
2.1%
5 1
 
2.1%
4 3
 
6.4%
3 1
 
2.1%
1 15
31.9%
0 22
46.8%

물리치료사
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)36.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.2765957
Minimum0
Maximum29
Zeros6
Zeros (%)12.8%
Negative0
Negative (%)0.0%
Memory size555.0 B
2024-04-06T17:36:38.315688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q36.5
95-th percentile19
Maximum29
Range29
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation7.1830178
Coefficient of variation (CV)1.3612977
Kurtosis2.7186586
Mean5.2765957
Median Absolute Deviation (MAD)1
Skewness1.8216652
Sum248
Variance51.595745
MonotonicityNot monotonic
2024-04-06T17:36:38.560347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
1 18
38.3%
0 6
 
12.8%
19 3
 
6.4%
2 3
 
6.4%
6 2
 
4.3%
3 2
 
4.3%
4 2
 
4.3%
5 2
 
4.3%
14 1
 
2.1%
26 1
 
2.1%
Other values (7) 7
 
14.9%
ValueCountFrequency (%)
0 6
 
12.8%
1 18
38.3%
2 3
 
6.4%
3 2
 
4.3%
4 2
 
4.3%
5 2
 
4.3%
6 2
 
4.3%
7 1
 
2.1%
8 1
 
2.1%
9 1
 
2.1%
ValueCountFrequency (%)
29 1
 
2.1%
26 1
 
2.1%
19 3
6.4%
15 1
 
2.1%
14 1
 
2.1%
12 1
 
2.1%
11 1
 
2.1%
9 1
 
2.1%
8 1
 
2.1%
7 1
 
2.1%

작업치료사
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1276596
Minimum0
Maximum12
Zeros35
Zeros (%)74.5%
Negative0
Negative (%)0.0%
Memory size555.0 B
2024-04-06T17:36:38.802062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.5
95-th percentile6.7
Maximum12
Range12
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation2.507528
Coefficient of variation (CV)2.2236569
Kurtosis7.6335516
Mean1.1276596
Median Absolute Deviation (MAD)0
Skewness2.67444
Sum53
Variance6.2876966
MonotonicityNot monotonic
2024-04-06T17:36:39.497854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 35
74.5%
1 3
 
6.4%
3 3
 
6.4%
7 2
 
4.3%
4 1
 
2.1%
5 1
 
2.1%
6 1
 
2.1%
12 1
 
2.1%
ValueCountFrequency (%)
0 35
74.5%
1 3
 
6.4%
3 3
 
6.4%
4 1
 
2.1%
5 1
 
2.1%
6 1
 
2.1%
7 2
 
4.3%
12 1
 
2.1%
ValueCountFrequency (%)
12 1
 
2.1%
7 2
 
4.3%
6 1
 
2.1%
5 1
 
2.1%
4 1
 
2.1%
3 3
 
6.4%
1 3
 
6.4%
0 35
74.5%

치과기공사
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size508.0 B
0
46 
6
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 46
97.9%
6 1
 
2.1%

Length

2024-04-06T17:36:39.773926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:36:39.962626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 46
97.9%
6 1
 
2.1%

의료기사(전체)
Real number (ℝ)

Distinct23
Distinct (%)48.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.042553
Minimum1
Maximum140
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2024-04-06T17:36:40.182051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median4
Q317
95-th percentile84.3
Maximum140
Range139
Interquartile range (IQR)15

Descriptive statistics

Standard deviation28.618903
Coefficient of variation (CV)1.6792615
Kurtosis8.1431188
Mean17.042553
Median Absolute Deviation (MAD)3
Skewness2.7877392
Sum801
Variance819.04163
MonotonicityNot monotonic
2024-04-06T17:36:40.498670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
2 14
29.8%
3 6
12.8%
4 3
 
6.4%
12 2
 
4.3%
9 2
 
4.3%
1 2
 
4.3%
8 2
 
4.3%
15 1
 
2.1%
29 1
 
2.1%
43 1
 
2.1%
Other values (13) 13
27.7%
ValueCountFrequency (%)
1 2
 
4.3%
2 14
29.8%
3 6
12.8%
4 3
 
6.4%
7 1
 
2.1%
8 2
 
4.3%
9 2
 
4.3%
11 1
 
2.1%
12 2
 
4.3%
15 1
 
2.1%
ValueCountFrequency (%)
140 1
2.1%
96 1
2.1%
87 1
2.1%
78 1
2.1%
43 1
2.1%
42 1
2.1%
35 1
2.1%
29 1
2.1%
24 1
2.1%
23 1
2.1%

간호조무사
Real number (ℝ)

Distinct31
Distinct (%)66.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.93617
Minimum1
Maximum301
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2024-04-06T17:36:40.825334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.3
Q110
median19
Q330
95-th percentile81.3
Maximum301
Range300
Interquartile range (IQR)20

Descriptive statistics

Standard deviation45.976083
Coefficient of variation (CV)1.5358038
Kurtosis27.163491
Mean29.93617
Median Absolute Deviation (MAD)10
Skewness4.8215899
Sum1407
Variance2113.8002
MonotonicityNot monotonic
2024-04-06T17:36:41.103795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
24 3
 
6.4%
18 3
 
6.4%
17 2
 
4.3%
41 2
 
4.3%
30 2
 
4.3%
14 2
 
4.3%
6 2
 
4.3%
20 2
 
4.3%
8 2
 
4.3%
1 2
 
4.3%
Other values (21) 25
53.2%
ValueCountFrequency (%)
1 2
4.3%
3 1
2.1%
4 2
4.3%
5 1
2.1%
6 2
4.3%
8 2
4.3%
9 2
4.3%
11 1
2.1%
13 1
2.1%
14 2
4.3%
ValueCountFrequency (%)
301 1
2.1%
118 1
2.1%
90 1
2.1%
61 1
2.1%
50 1
2.1%
45 1
2.1%
44 1
2.1%
41 2
4.3%
35 2
4.3%
30 2
4.3%

의무기록사
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4680851
Minimum0
Maximum14
Zeros10
Zeros (%)21.3%
Negative0
Negative (%)0.0%
Memory size555.0 B
2024-04-06T17:36:41.315234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile4.1
Maximum14
Range14
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.1854366
Coefficient of variation (CV)1.4886307
Kurtosis24.254873
Mean1.4680851
Median Absolute Deviation (MAD)0
Skewness4.508596
Sum69
Variance4.7761332
MonotonicityNot monotonic
2024-04-06T17:36:41.541625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 24
51.1%
2 10
21.3%
0 10
21.3%
5 1
 
2.1%
14 1
 
2.1%
6 1
 
2.1%
ValueCountFrequency (%)
0 10
21.3%
1 24
51.1%
2 10
21.3%
5 1
 
2.1%
6 1
 
2.1%
14 1
 
2.1%
ValueCountFrequency (%)
14 1
 
2.1%
6 1
 
2.1%
5 1
 
2.1%
2 10
21.3%
1 24
51.1%
0 10
21.3%

약사
Categorical

IMBALANCE 

Distinct5
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Memory size508.0 B
1
37 
0
5 
16
 
2
2
 
2
3
 
1

Length

Max length2
Median length1
Mean length1.0425532
Min length1

Unique

Unique1 ?
Unique (%)2.1%

Sample

1st row1
2nd row1
3rd row1
4th row3
5th row1

Common Values

ValueCountFrequency (%)
1 37
78.7%
0 5
 
10.6%
16 2
 
4.3%
2 2
 
4.3%
3 1
 
2.1%

Length

2024-04-06T17:36:41.835035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:36:42.116763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 37
78.7%
0 5
 
10.6%
16 2
 
4.3%
2 2
 
4.3%
3 1
 
2.1%

구급차동차수
Categorical

Distinct3
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size508.0 B
0
33 
1
13 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.1%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 33
70.2%
1 13
 
27.7%
2 1
 
2.1%

Length

2024-04-06T17:36:42.362188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:36:42.574514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 33
70.2%
1 13
 
27.7%
2 1
 
2.1%

데이터 기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size508.0 B
2024-03-24
47 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-03-24
2nd row2024-03-24
3rd row2024-03-24
4th row2024-03-24
5th row2024-03-24

Common Values

ValueCountFrequency (%)
2024-03-24 47
100.0%

Length

2024-04-06T17:36:42.815515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:36:43.003747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-03-24 47
100.0%

Sample

의료기관명의료기관주소(도로명)의료기관전화번호병상전문의일반의치과의사한의사간호사조산사의료인(전체)치과위생사방사선사임상병리사물리치료사작업치료사치과기공사의료기사(전체)간호조무사의무기록사약사구급차동차수데이터 기준일자
0의료법인원경의료재단 연일요양병원경상북도 포항시 남구 연일읍 인주길22번길 38-23054-286-05751602101130170101002161102024-03-24
1하나요양병원경상북도 포항시 남구 포스코대로 382 (대도동)054-256-50001713002220270202004182102024-03-24
2의료법인현보의료재단포항해도요양병원경상북도 포항시 남구 중앙로 84 (해도동)054-244-75821412002140180101002212102024-03-24
3에스포항병원경상북도 포항시 남구 희망대로 352 (이동, 에스포항병원)054-289-900025438000301033903022197078905312024-03-24
4의료법인 해도의료재단 제일마디요양병원경상북도 포항시 남구 중앙로 98 (해도동)054-273-00011683001130170101002151102024-03-24
5의료법인 경진의료재단 경희요양병원 (송도)경상북도 포항시 남구 송도로 62 (송도동)054-250-250025350026106801191012351102024-03-24
6세명재활의학병원경상북도 포항시 남구 상공로 60 (상도동)054-283-0815641000203011700940002024-03-24
7대구한의학대학교부속포항한방병원경상북도 포항시 남구 새천년대로 411 (대잠동)054-281-00557110022150380214007111012024-03-24
8해군포항병원경상북도 포항시 남구 오천읍 충무로 70 ((사서함 209-141))054-290-242312018030280494545001812102024-03-24
9포항세명기독병원경상북도 포항시 남구 포스코대로 351 (대도동)054-275-00057501271307640895369451940140301141622024-03-24
의료기관명의료기관주소(도로명)의료기관전화번호병상전문의일반의치과의사한의사간호사조산사의료인(전체)치과위생사방사선사임상병리사물리치료사작업치료사치과기공사의료기사(전체)간호조무사의무기록사약사구급차동차수데이터 기준일자
37의료법인 한원의료재단 장성요양병원경상북도 포항시 북구 법원로111번길 25-10 (장성동)054-232-52751454001170220101002261102024-03-24
38경상북도 포항노인전문요양병원경상북도 포항시 북구 용흥로 36 (용흥동)054-245-0551166400131036000210391102024-03-24
39인성병원경상북도 포항시 북구 장량로 98-10 (장성동)054-230-7700299600022028010100291112024-03-24
40의료법인 동신의료재단 포항이요양병원경상북도 포항시 북구 중흥로 227 (죽도동)054-277-55551593101190240111003181102024-03-24
41여성아이병원경상북도 포항시 북구 우창동로22번길 7 (우현동, 여성아이병원)054-255-5000372900010301320540009230112024-03-24
42의료법인현암의료재단 포항우리병원경상북도 포항시 북구 포스코대로 256 (죽도동)054-240-6000916100430500633001240102024-03-24
43의료법인 은성의료재단 좋은선린병원경상북도 포항시 북구 대신로 43 (대신동)054-245-50002642421018402111191850043612212024-03-24
44경상북도 포항의료원경상북도 포항시 북구 용흥로 36 (용흥동)054-247-05512981842014601704101140029452202024-03-24
45의료법인 경진의료재단 경희요양병원 (오천)경상북도 포항시 남구 포스코대로 327 지하 1층, 2층, 3층, 4층, 5층054-278-85751602001150180111003171102024-03-24
46수한방병원경상북도 포항시 남구 오천읍 구정길17번길 13054-720-500054010315019010300450002024-03-24