Overview

Dataset statistics

Number of variables5
Number of observations451
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.2 KiB
Average record size in memory41.3 B

Variable types

Numeric1
Text3
Categorical1

Dataset

Description세종특별자치시에 있는 병원, 의원 정보를 제공합니다.데이터는 의료기관명, 의료기관 분류, 의료기관 주소, 의료기관 전화번호로 구성되어 있습니다.
Author세종특별자치시
URLhttps://www.data.go.kr/data/15108031/fileData.do

Alerts

순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 23:19:00.143165
Analysis finished2023-12-12 23:19:00.762232
Duration0.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct451
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean226
Minimum1
Maximum451
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2023-12-13T08:19:00.860443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile23.5
Q1113.5
median226
Q3338.5
95-th percentile428.5
Maximum451
Range450
Interquartile range (IQR)225

Descriptive statistics

Standard deviation130.33674
Coefficient of variation (CV)0.57671125
Kurtosis-1.2
Mean226
Median Absolute Deviation (MAD)113
Skewness0
Sum101926
Variance16987.667
MonotonicityStrictly increasing
2023-12-13T08:19:01.020266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
284 1
 
0.2%
310 1
 
0.2%
309 1
 
0.2%
308 1
 
0.2%
307 1
 
0.2%
306 1
 
0.2%
305 1
 
0.2%
304 1
 
0.2%
303 1
 
0.2%
Other values (441) 441
97.8%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
451 1
0.2%
450 1
0.2%
449 1
0.2%
448 1
0.2%
447 1
0.2%
446 1
0.2%
445 1
0.2%
444 1
0.2%
443 1
0.2%
442 1
0.2%

의료기관명
Text

Distinct450
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2023-12-13T08:19:01.297189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length15
Mean length7.9312639
Min length4

Characters and Unicode

Total characters3577
Distinct characters319
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique449 ?
Unique (%)99.6%

Sample

1st row세종하이한방병원
2nd row서울현병원
3rd row아름드리나무 어린이병원
4th row밝은한방병원
5th row세종경희한방병원
ValueCountFrequency (%)
치과의원 5
 
1.0%
세종 3
 
0.6%
정신건강의학과의원 3
 
0.6%
동행의원한의원 2
 
0.4%
의료법인 2
 
0.4%
소아청소년과의원 2
 
0.4%
정형외과의원 2
 
0.4%
이비인후과의원 2
 
0.4%
세종다사랑가정의학과의원 1
 
0.2%
세종시365으랏차한의원 1
 
0.2%
Other values (462) 462
95.3%
2023-12-13T08:19:01.734158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 462
 
12.9%
원 441
 
12.3%
과 285
 
8.0%
한 115
 
3.2%
치 108
 
3.0%
세 107
 
3.0%
종 91
 
2.5%
소 85
 
2.4%
이 63
 
1.8%
정 50
 
1.4%
Other values (309) 1770
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3522
98.5%
Space Separator 34
 
1.0%
Decimal Number 21
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 462
 
13.1%
원 441
 
12.5%
과 285
 
8.1%
한 115
 
3.3%
치 108
 
3.1%
세 107
 
3.0%
종 91
 
2.6%
소 85
 
2.4%
이 63
 
1.8%
정 50
 
1.4%
Other values (305) 1715
48.7%
Decimal Number
ValueCountFrequency (%)
5 7
33.3%
3 7
33.3%
6 7
33.3%
Space Separator
ValueCountFrequency (%)
34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3522
98.5%
Common 55
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 462
 
13.1%
원 441
 
12.5%
과 285
 
8.1%
한 115
 
3.3%
치 108
 
3.1%
세 107
 
3.0%
종 91
 
2.6%
소 85
 
2.4%
이 63
 
1.8%
정 50
 
1.4%
Other values (305) 1715
48.7%
Common
ValueCountFrequency (%)
34
61.8%
5 7
 
12.7%
3 7
 
12.7%
6 7
 
12.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3522
98.5%
ASCII 55
 
1.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 462
 
13.1%
원 441
 
12.5%
과 285
 
8.1%
한 115
 
3.3%
치 108
 
3.1%
세 107
 
3.0%
종 91
 
2.6%
소 85
 
2.4%
이 63
 
1.8%
정 50
 
1.4%
Other values (305) 1715
48.7%
ASCII
ValueCountFrequency (%)
34
61.8%
5 7
 
12.7%
3 7
 
12.7%
6 7
 
12.7%

의료기관 분류
Categorical

Distinct12
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
의원
226 
치과의원
99 
한의원
93 
보건지소
 
10
보건진료소
 
7
Other values (7)
 
16

Length

Max length12
Median length2
Mean length2.8625277
Min length2

Unique

Unique3 ?
Unique (%)0.7%

Sample

1st row한방병원
2nd row병원
3rd row병원
4th row한방병원
5th row한방병원

Common Values

ValueCountFrequency (%)
의원 226
50.1%
치과의원 99
22.0%
한의원 93
20.6%
보건지소 10
 
2.2%
보건진료소 7
 
1.6%
한방병원 4
 
0.9%
요양병원(일반요양병원) 4
 
0.9%
병원 3
 
0.7%
종합병원 2
 
0.4%
치과병원 1
 
0.2%
Other values (2) 2
 
0.4%

Length

2023-12-13T08:19:02.246321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
의원 226
50.1%
치과의원 99
22.0%
한의원 93
20.6%
보건지소 10
 
2.2%
보건진료소 7
 
1.6%
한방병원 4
 
0.9%
요양병원(일반요양병원 4
 
0.9%
병원 3
 
0.7%
종합병원 2
 
0.4%
치과병원 1
 
0.2%
Other values (2) 2
 
0.4%

의료기관 주소
Text

Distinct230
Distinct (%)51.0%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2023-12-13T08:19:02.589205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length17.299335
Min length13

Characters and Unicode

Total characters7802
Distinct characters119
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

Unique137 ?
Unique (%)30.4%

Sample

1st row세종특별자치시 갈매로 58
2nd row세종특별자치시 나성북로 15
3rd row세종특별자치시 보듬3로 101
4th row세종특별자치시 한누리대로 2264
5th row세종특별자치시 대평4길 17
ValueCountFrequency (%)
세종특별자치시 451
30.5%
한누리대로 125
 
8.5%
조치원읍 74
 
5.0%
보듬3로 32
 
2.2%
새내로 30
 
2.0%
새롬중앙로 28
 
1.9%
다정중앙로 20
 
1.4%
절재로 17
 
1.2%
194 16
 
1.1%
조치원로 16
 
1.1%
Other values (248) 669
45.3%
2023-12-13T08:19:03.048048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1047
 
13.4%
치 547
 
7.0%
세 464
 
5.9%
종 461
 
5.9%
특 451
 
5.8%
별 451
 
5.8%
자 451
 
5.8%
시 451
 
5.8%
로 408
 
5.2%
1 248
 
3.2%
Other values (109) 2823
36.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5371
68.8%
Decimal Number 1336
 
17.1%
Space Separator 1047
 
13.4%
Dash Punctuation 48
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
치 547
 
10.2%
세 464
 
8.6%
종 461
 
8.6%
특 451
 
8.4%
별 451
 
8.4%
자 451
 
8.4%
시 451
 
8.4%
로 408
 
7.6%
대 130
 
2.4%
리 127
 
2.4%
Other values (97) 1430
26.6%
Decimal Number
ValueCountFrequency (%)
1 248
18.6%
2 207
15.5%
3 156
11.7%
5 149
11.2%
4 122
9.1%
9 103
7.7%
8 91
 
6.8%
6 87
 
6.5%
7 87
 
6.5%
0 86
 
6.4%
Space Separator
ValueCountFrequency (%)
1047
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5371
68.8%
Common 2431
31.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
치 547
 
10.2%
세 464
 
8.6%
종 461
 
8.6%
특 451
 
8.4%
별 451
 
8.4%
자 451
 
8.4%
시 451
 
8.4%
로 408
 
7.6%
대 130
 
2.4%
리 127
 
2.4%
Other values (97) 1430
26.6%
Common
ValueCountFrequency (%)
1047
43.1%
1 248
 
10.2%
2 207
 
8.5%
3 156
 
6.4%
5 149
 
6.1%
4 122
 
5.0%
9 103
 
4.2%
8 91
 
3.7%
6 87
 
3.6%
7 87
 
3.6%
Other values (2) 134
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5371
68.8%
ASCII 2431
31.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1047
43.1%
1 248
 
10.2%
2 207
 
8.5%
3 156
 
6.4%
5 149
 
6.1%
4 122
 
5.0%
9 103
 
4.2%
8 91
 
3.7%
6 87
 
3.6%
7 87
 
3.6%
Other values (2) 134
 
5.5%
Hangul
ValueCountFrequency (%)
치 547
 
10.2%
세 464
 
8.6%
종 461
 
8.6%
특 451
 
8.4%
별 451
 
8.4%
자 451
 
8.4%
시 451
 
8.4%
로 408
 
7.6%
대 130
 
2.4%
리 127
 
2.4%
Other values (97) 1430
26.6%

의료기관 전화번호
Text

Distinct450
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2023-12-13T08:19:03.332101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.924612
Min length9

Characters and Unicode

Total characters5378
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

Unique449 ?
Unique (%)99.6%

Sample

1st row044-999-1999
2nd row1600-5626
3rd row044-715-7200
4th row044-867-9300
5th row044-414-9599
ValueCountFrequency (%)
044-868-9935 2
 
0.4%
044-866-8025 1
 
0.2%
044-865-7502 1
 
0.2%
044-867-3211 1
 
0.2%
044-864-5852 1
 
0.2%
044-863-2282 1
 
0.2%
044-864-8610 1
 
0.2%
044-868-4880 1
 
0.2%
044-417-1585 1
 
0.2%
044-864-2827 1
 
0.2%
Other values (440) 440
97.6%
2023-12-13T08:19:03.743010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 1006
18.7%
- 889
16.5%
0 723
13.4%
8 594
11.0%
6 475
8.8%
5 405
7.5%
7 389
 
7.2%
2 304
 
5.7%
1 255
 
4.7%
3 196
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4489
83.5%
Dash Punctuation 889
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 1006
22.4%
0 723
16.1%
8 594
13.2%
6 475
10.6%
5 405
9.0%
7 389
 
8.7%
2 304
 
6.8%
1 255
 
5.7%
3 196
 
4.4%
9 142
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 889
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5378
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 1006
18.7%
- 889
16.5%
0 723
13.4%
8 594
11.0%
6 475
8.8%
5 405
7.5%
7 389
 
7.2%
2 304
 
5.7%
1 255
 
4.7%
3 196
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5378
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 1006
18.7%
- 889
16.5%
0 723
13.4%
8 594
11.0%
6 475
8.8%
5 405
7.5%
7 389
 
7.2%
2 304
 
5.7%
1 255
 
4.7%
3 196
 
3.6%

Interactions

2023-12-13T08:19:00.477035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:19:03.850575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번의료기관 분류
순번1.0000.480
의료기관 분류0.4801.000
2023-12-13T08:19:03.937471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번의료기관 분류
순번1.0000.222
의료기관 분류0.2221.000

Missing values

2023-12-13T08:19:00.601877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:19:00.715460image/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

순번의료기관명의료기관 분류의료기관 주소의료기관 전화번호
01세종하이한방병원한방병원세종특별자치시 갈매로 58044-999-1999
12서울현병원병원세종특별자치시 나성북로 151600-5626
23아름드리나무 어린이병원병원세종특별자치시 보듬3로 101044-715-7200
34밝은한방병원한방병원세종특별자치시 한누리대로 2264044-867-9300
45세종경희한방병원한방병원세종특별자치시 대평4길 17044-414-9599
56오케이한방병원한방병원세종특별자치시 한누리대로 3311668-0090
67세종충남대학교병원종합병원세종특별자치시 보듬7로 201800-3114
78트리니움 여성병원병원세종특별자치시 한누리대로 1934044-270-0114
89의료법인 영제 의료재단 엔케이세종병원종합병원세종특별자치시 한누리대로 161044-850-7700
910단국대학교 치과대학 세종치과병원치과병원세종특별자치시 도움8로 87044-410-5000
순번의료기관명의료기관 분류의료기관 주소의료기관 전화번호
441442성심외과의원의원세종특별자치시 조치원읍 새내로 113044-865-3616
442443이내과의원의원세종특별자치시 조치원읍 조치원로 31044-865-3571
443444송곡보건진료소보건진료소세종특별자치시 전동면 금이로 184044-867-1665
444445세종특별자치시보건소보건소세종특별자치시 조치원읍 대첩로 32044-301-2000
445446응암보건진료소보건진료소세종특별자치시 연동면 송암로 246044-864-9202
446447이종선치과의원치과의원세종특별자치시 조치원읍 조치원로 31044-865-6352
447448황용보건진료소보건진료소세종특별자치시 금남면 금남구즉로 487044-867-8865
448449양곡보건진료소보건진료소세종특별자치시 전의면 양지편길 17044-867-3471
449450송학보건진료소보건진료소세종특별자치시 장군면 황미창말길 5-4044-852-0564
450451전의의원의원세종특별자치시 전의면 읍내길 13044-863-2828