Overview

Dataset statistics

Number of variables6
Number of observations37
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory53.6 B

Variable types

Text3
Numeric2
Categorical1

Dataset

Description인천광역시 서구에 위치한 병원급의료기관 현황에 관한 데이터셋입니다. 인천광역시 서구에 위치한 병원급의료기관 현황의 병원명, 소재지, 전화번호에 관한 정보를 포함하고 있습니다.
Author인천광역시 서구
URLhttps://www.data.go.kr/data/15090709/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
의료기관명 has unique valuesUnique
의료기관주소(도로명) has unique valuesUnique

Reproduction

Analysis started2023-12-12 01:38:42.532456
Analysis finished2023-12-12 01:38:43.612364
Duration1.08 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

의료기관명
Text

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
2023-12-12T10:38:43.855005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length8.2702703
Min length4

Characters and Unicode

Total characters306
Distinct characters93
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

Unique37 ?
Unique (%)100.0%

Sample

1st row나움병원
2nd row서온요양병원
3rd row의료법인 정강의료재단 검단수한방병원
4th row인정한방병원
5th row서울닥터스요양병원
ValueCountFrequency (%)
의료법인 2
 
4.5%
나움병원 1
 
2.3%
온누리병원 1
 
2.3%
감인의료재단 1
 
2.3%
청라백세요양병원 1
 
2.3%
가톨릭관동대학교국제성모병원 1
 
2.3%
청담요양병원 1
 
2.3%
블레스병원 1
 
2.3%
정인의료소비자협동조합 1
 
2.3%
검단연세한방병원 1
 
2.3%
Other values (33) 33
75.0%
2023-12-12T10:38:44.362111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
병 37
 
12.1%
원 37
 
12.1%
인 11
 
3.6%
요 10
 
3.3%
양 10
 
3.3%
청 10
 
3.3%
한 9
 
2.9%
라 9
 
2.9%
방 8
 
2.6%
의 8
 
2.6%
Other values (83) 157
51.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 295
96.4%
Space Separator 7
 
2.3%
Uppercase Letter 2
 
0.7%
Open Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
병 37
 
12.5%
원 37
 
12.5%
인 11
 
3.7%
요 10
 
3.4%
양 10
 
3.4%
청 10
 
3.4%
한 9
 
3.1%
라 9
 
3.1%
방 8
 
2.7%
의 8
 
2.7%
Other values (78) 146
49.5%
Uppercase Letter
ValueCountFrequency (%)
J 1
50.0%
S 1
50.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 295
96.4%
Common 9
 
2.9%
Latin 2
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
병 37
 
12.5%
원 37
 
12.5%
인 11
 
3.7%
요 10
 
3.4%
양 10
 
3.4%
청 10
 
3.4%
한 9
 
3.1%
라 9
 
3.1%
방 8
 
2.7%
의 8
 
2.7%
Other values (78) 146
49.5%
Common
ValueCountFrequency (%)
7
77.8%
( 1
 
11.1%
) 1
 
11.1%
Latin
ValueCountFrequency (%)
J 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 295
96.4%
ASCII 11
 
3.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
병 37
 
12.5%
원 37
 
12.5%
인 11
 
3.7%
요 10
 
3.4%
양 10
 
3.4%
청 10
 
3.4%
한 9
 
3.1%
라 9
 
3.1%
방 8
 
2.7%
의 8
 
2.7%
Other values (78) 146
49.5%
ASCII
ValueCountFrequency (%)
7
63.6%
( 1
 
9.1%
) 1
 
9.1%
J 1
 
9.1%
S 1
 
9.1%

의료기관주소(도로명)
Text

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
2023-12-12T10:38:44.756112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length39
Mean length34.702703
Min length21

Characters and Unicode

Total characters1284
Distinct characters130
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)100.0%

Sample

1st row인천광역시 서구 청라에메랄드로 99, 지젤엠청라 A동 5층 (청라동)
2nd row인천광역시 서구 도곡로 172-5, 서온요양병원 가동 지하1~2, 2~4층 나동전체호 (대곡동)
3rd row인천광역시 서구 완정로 147, 유영빌딩 3~10층, 12층 (왕길동)
4th row인천광역시 서구 청라에메랄드로 99-0, 5층 504,505호 (청라동,지젤엠청라)
5th row인천광역시 서구 가정로 270(석남동)
ValueCountFrequency (%)
인천광역시 37
 
15.4%
서구 37
 
15.4%
청라동 6
 
2.5%
심곡동 5
 
2.1%
당하동 4
 
1.7%
가정동 4
 
1.7%
완정로 4
 
1.7%
석남동 3
 
1.2%
2~5층 3
 
1.2%
가좌동 3
 
1.2%
Other values (117) 134
55.8%
2023-12-12T10:38:45.316494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
203
 
15.8%
, 54
 
4.2%
동 43
 
3.3%
1 40
 
3.1%
로 40
 
3.1%
천 39
 
3.0%
2 39
 
3.0%
) 39
 
3.0%
서 39
 
3.0%
( 39
 
3.0%
Other values (120) 709
55.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 714
55.6%
Decimal Number 213
 
16.6%
Space Separator 203
 
15.8%
Other Punctuation 54
 
4.2%
Close Punctuation 39
 
3.0%
Open Punctuation 39
 
3.0%
Math Symbol 14
 
1.1%
Dash Punctuation 7
 
0.5%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 43
 
6.0%
로 40
 
5.6%
천 39
 
5.5%
서 39
 
5.5%
인 38
 
5.3%
광 38
 
5.3%
구 37
 
5.2%
시 37
 
5.2%
역 37
 
5.2%
층 30
 
4.2%
Other values (103) 336
47.1%
Decimal Number
ValueCountFrequency (%)
1 40
18.8%
2 39
18.3%
5 23
10.8%
4 21
9.9%
0 18
8.5%
9 17
8.0%
3 16
 
7.5%
7 16
 
7.5%
6 15
 
7.0%
8 8
 
3.8%
Space Separator
ValueCountFrequency (%)
203
100.0%
Other Punctuation
ValueCountFrequency (%)
, 54
100.0%
Close Punctuation
ValueCountFrequency (%)
) 39
100.0%
Open Punctuation
ValueCountFrequency (%)
( 39
100.0%
Math Symbol
ValueCountFrequency (%)
~ 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 714
55.6%
Common 569
44.3%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 43
 
6.0%
로 40
 
5.6%
천 39
 
5.5%
서 39
 
5.5%
인 38
 
5.3%
광 38
 
5.3%
구 37
 
5.2%
시 37
 
5.2%
역 37
 
5.2%
층 30
 
4.2%
Other values (103) 336
47.1%
Common
ValueCountFrequency (%)
203
35.7%
, 54
 
9.5%
1 40
 
7.0%
2 39
 
6.9%
) 39
 
6.9%
( 39
 
6.9%
5 23
 
4.0%
4 21
 
3.7%
0 18
 
3.2%
9 17
 
3.0%
Other values (6) 76
 
13.4%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 714
55.6%
ASCII 570
44.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
203
35.6%
, 54
 
9.5%
1 40
 
7.0%
2 39
 
6.8%
) 39
 
6.8%
( 39
 
6.8%
5 23
 
4.0%
4 21
 
3.7%
0 18
 
3.2%
9 17
 
3.0%
Other values (7) 77
 
13.5%
Hangul
ValueCountFrequency (%)
동 43
 
6.0%
로 40
 
5.6%
천 39
 
5.5%
서 39
 
5.5%
인 38
 
5.3%
광 38
 
5.3%
구 37
 
5.2%
시 37
 
5.2%
역 37
 
5.2%
층 30
 
4.2%
Other values (103) 336
47.1%

위도
Real number (ℝ)

Distinct36
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.547986
Minimum37.483187
Maximum37.636245
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-12T10:38:45.516511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.483187
5-th percentile37.496924
Q137.52643
median37.533607
Q337.592624
95-th percentile37.602798
Maximum37.636245
Range0.15305828
Interquartile range (IQR)0.06619397

Descriptive statistics

Standard deviation0.038389525
Coefficient of variation (CV)0.0010224124
Kurtosis-0.71224794
Mean37.547986
Median Absolute Deviation (MAD)0.0171395
Skewness0.49172954
Sum1389.2755
Variance0.0014737557
MonotonicityNot monotonic
2023-12-12T10:38:45.719036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
37.5336073 2
 
5.4%
37.53336714 1
 
2.7%
37.52910721 1
 
2.7%
37.54234717 1
 
2.7%
37.48318702 1
 
2.7%
37.5928684 1
 
2.7%
37.60153282 1
 
2.7%
37.59664085 1
 
2.7%
37.60279126 1
 
2.7%
37.55029979 1
 
2.7%
Other values (26) 26
70.3%
ValueCountFrequency (%)
37.48318702 1
2.7%
37.48905435 1
2.7%
37.49889104 1
2.7%
37.50668159 1
2.7%
37.5066915 1
2.7%
37.5088794 1
2.7%
37.50979289 1
2.7%
37.5164678 1
2.7%
37.52641513 1
2.7%
37.5264302 1
2.7%
ValueCountFrequency (%)
37.6362453 1
2.7%
37.60282476 1
2.7%
37.60279126 1
2.7%
37.60153282 1
2.7%
37.6009281 1
2.7%
37.59664085 1
2.7%
37.59457594 1
2.7%
37.59287741 1
2.7%
37.5928684 1
2.7%
37.59262417 1
2.7%

경도
Real number (ℝ)

Distinct36
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.66682
Minimum126.61003
Maximum126.6971
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-12T10:38:45.921185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.61003
5-th percentile126.64858
Q1126.65573
median126.67072
Q3126.67482
95-th percentile126.68471
Maximum126.6971
Range0.0870735
Interquartile range (IQR)0.0190853

Descriptive statistics

Standard deviation0.015584677
Coefficient of variation (CV)0.00012303677
Kurtosis3.6797533
Mean126.66682
Median Absolute Deviation (MAD)0.011079
Skewness-1.2425384
Sum4686.6723
Variance0.00024288215
MonotonicityNot monotonic
2023-12-12T10:38:46.098586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
126.6557308 2
 
5.4%
126.6502984 1
 
2.7%
126.610031 1
 
2.7%
126.6835743 1
 
2.7%
126.6844876 1
 
2.7%
126.6748161 1
 
2.7%
126.6545954 1
 
2.7%
126.6681588 1
 
2.7%
126.6543349 1
 
2.7%
126.6744038 1
 
2.7%
Other values (26) 26
70.3%
ValueCountFrequency (%)
126.610031 1
2.7%
126.6417038 1
2.7%
126.6502984 1
2.7%
126.6509323 1
2.7%
126.6516219 1
2.7%
126.6543349 1
2.7%
126.6545954 1
2.7%
126.6556911 1
2.7%
126.6557308 2
5.4%
126.656486 1
2.7%
ValueCountFrequency (%)
126.6971045 1
2.7%
126.6851841 1
2.7%
126.6845934 1
2.7%
126.6844876 1
2.7%
126.6842664 1
2.7%
126.6835743 1
2.7%
126.6797827 1
2.7%
126.6764238 1
2.7%
126.6761331 1
2.7%
126.6748161 1
2.7%

의료기관전화번호
Text

Distinct35
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Memory size428.0 B
2023-12-12T10:38:46.368565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.891892
Min length9

Characters and Unicode

Total characters440
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

Unique34 ?
Unique (%)91.9%

Sample

1st row032-1833-9903
2nd row1670-5101
3rd row032-713-5300
4th row032-466-7777
5th row032-721-7075
ValueCountFrequency (%)
032-562-5101 3
 
8.1%
032-569-8088 1
 
2.7%
032-505-6114 1
 
2.7%
032-716-6000 1
 
2.7%
032-516-5000 1
 
2.7%
032-524-8800 1
 
2.7%
1600-8291 1
 
2.7%
032-324-8255 1
 
2.7%
032-569-5858 1
 
2.7%
032-1833-9903 1
 
2.7%
Other values (25) 25
67.6%
2023-12-12T10:38:46.850787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 79
18.0%
- 72
16.4%
2 56
12.7%
3 47
10.7%
5 47
10.7%
1 41
9.3%
7 35
8.0%
6 23
 
5.2%
9 15
 
3.4%
8 14
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 368
83.6%
Dash Punctuation 72
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 79
21.5%
2 56
15.2%
3 47
12.8%
5 47
12.8%
1 41
11.1%
7 35
9.5%
6 23
 
6.2%
9 15
 
4.1%
8 14
 
3.8%
4 11
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 72
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 440
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 79
18.0%
- 72
16.4%
2 56
12.7%
3 47
10.7%
5 47
10.7%
1 41
9.3%
7 35
8.0%
6 23
 
5.2%
9 15
 
3.4%
8 14
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 440
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 79
18.0%
- 72
16.4%
2 56
12.7%
3 47
10.7%
5 47
10.7%
1 41
9.3%
7 35
8.0%
6 23
 
5.2%
9 15
 
3.4%
8 14
 
3.2%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size428.0 B
2022-09-01
37 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-09-01
2nd row2022-09-01
3rd row2022-09-01
4th row2022-09-01
5th row2022-09-01

Common Values

ValueCountFrequency (%)
2022-09-01 37
100.0%

Length

2023-12-12T10:38:47.029966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:38:47.179106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-09-01 37
100.0%

Interactions

2023-12-12T10:38:43.116822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:38:42.858922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:38:43.256568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:38:43.000819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T10:38:47.261257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의료기관명의료기관주소(도로명)위도경도의료기관전화번호
의료기관명1.0001.0001.0001.0001.000
의료기관주소(도로명)1.0001.0001.0001.0001.000
위도1.0001.0001.0000.5261.000
경도1.0001.0000.5261.0001.000
의료기관전화번호1.0001.0001.0001.0001.000
2023-12-12T10:38:47.384710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.000-0.074
경도-0.0741.000

Missing values

2023-12-12T10:38:43.408932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:38:43.553814image/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

의료기관명의료기관주소(도로명)위도경도의료기관전화번호데이터기준일자
0나움병원인천광역시 서구 청라에메랄드로 99, 지젤엠청라 A동 5층 (청라동)37.533607126.655731032-1833-99032022-09-01
1서온요양병원인천광역시 서구 도곡로 172-5, 서온요양병원 가동 지하1~2, 2~4층 나동전체호 (대곡동)37.636245126.6634581670-51012022-09-01
2의료법인 정강의료재단 검단수한방병원인천광역시 서구 완정로 147, 유영빌딩 3~10층, 12층 (왕길동)37.600928126.659642032-713-53002022-09-01
3인정한방병원인천광역시 서구 청라에메랄드로 99-0, 5층 504,505호 (청라동,지젤엠청라)37.533607126.655731032-466-77772022-09-01
4서울닥터스요양병원인천광역시 서구 가정로 270(석남동)37.508879126.672701032-721-70752022-09-01
5서인천한방병원인천광역시 서구 염곡로464번길 7, 성도메디피아 6~8층 (가정동)37.52643126.670126032-521-75822022-09-01
6성모사랑병원인천광역시 서구 길주로 91, 1층 일부, 2~4층 (석남동)37.506692126.672038032-575-32002022-09-01
7인천탑한방병원인천광역시 서구 청마로19번길 13, 2~3층 (당하동)37.592484126.671902032-563-10752022-09-01
8청라스퀘어병원인천광역시 서구 청라루비로 76, 청라 스퀘어7 지하1층일부,2~6층 (청라동)37.532512126.641704032-569-56922022-09-01
9청라좋은병원인천광역시 서구 청라에메랄드로 79-0, 2층 (청라동,청라커낼에비뉴2~4층)37.532338126.655691032-271-01192022-09-01
의료기관명의료기관주소(도로명)위도경도의료기관전화번호데이터기준일자
27검단스마일한방병원인천광역시 서구 완정로 55, 광진빌딩 2,3,4,5층 (마전동)37.596641126.668159032-569-80882022-09-01
28온누리병원인천광역시 서구 완정로 199 (왕길동)37.602791126.654335032-567-62002022-09-01
29인천연세병원인천광역시 서구 승학로 320 (연희동)37.5503126.674404032-561-34572022-09-01
30검단탑병원인천광역시 서구 청마로19번길 5 (당하동)37.592624126.670721032-590-01142022-09-01
31인천참사랑병원인천광역시 서구 원창로240번길 9 (가정동)37.516468126.676133032-571-91112022-09-01
32인천시립치매요양병원인천광역시 서구 심곡로132번길 21-1 (심곡동)37.54669126.685184032-562-51012022-09-01
33의료법인 루가의료재단 나은병원인천광역시 서구 원적로 23 (가좌동, 원적로 27번길 11(가좌동))37.489054126.679783032-584-01142022-09-01
34(의)성세의료재단 뉴성민병원인천광역시 서구 칠천왕로33번길 17 (석남동, 신석로 70(석남1동, 성민병원))37.509793126.66986032-726-10002022-09-01
35인천은혜요양병원인천광역시 서구 심곡로132번길 21 (심곡동)37.546112126.684266032-562-51012022-09-01
36은혜병원인천광역시 서구 심곡로132번길 22 (심곡동)37.54553126.684593032-562-51012022-09-01