Overview

Dataset statistics

Number of variables5
Number of observations171
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.0 KiB
Average record size in memory41.8 B

Variable types

Numeric1
Text3
Categorical1

Dataset

Description인천광역시 계양구 관내 의원 현황에 대한 데이터로, 의료기관명, 의료기관 도로명 주소, 의료기관 전화번호 등을 제공합니다.
Author인천광역시 계양구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=3077920&srcSe=7661IVAWM27C61E190

Alerts

기준일자 has constant value ""Constant
순번 has unique valuesUnique
의료기관명 has unique valuesUnique
의료기관전화번호 has unique valuesUnique

Reproduction

Analysis started2024-03-13 05:33:09.194182
Analysis finished2024-03-13 05:33:10.024042
Duration0.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct171
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86
Minimum1
Maximum171
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-03-13T14:33:10.671684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.5
Q143.5
median86
Q3128.5
95-th percentile162.5
Maximum171
Range170
Interquartile range (IQR)85

Descriptive statistics

Standard deviation49.507575
Coefficient of variation (CV)0.57566948
Kurtosis-1.2
Mean86
Median Absolute Deviation (MAD)43
Skewness0
Sum14706
Variance2451
MonotonicityStrictly increasing
2024-03-13T14:33:10.916006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
119 1
 
0.6%
111 1
 
0.6%
112 1
 
0.6%
113 1
 
0.6%
114 1
 
0.6%
115 1
 
0.6%
116 1
 
0.6%
117 1
 
0.6%
118 1
 
0.6%
Other values (161) 161
94.2%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
171 1
0.6%
170 1
0.6%
169 1
0.6%
168 1
0.6%
167 1
0.6%
166 1
0.6%
165 1
0.6%
164 1
0.6%
163 1
0.6%
162 1
0.6%

의료기관명
Text

UNIQUE 

Distinct171
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-03-13T14:33:11.200294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length8.3216374
Min length3

Characters and Unicode

Total characters1423
Distinct characters206
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

Unique171 ?
Unique (%)100.0%

Sample

1st row유안내과의원
2nd row뉴라이프의원
3rd row계양연세마취통증의학과의원
4th row계산역정형외과의원
5th row씨엘플러스의원
ValueCountFrequency (%)
유안내과의원 1
 
0.6%
임창재내과의원 1
 
0.6%
강남정형외과의원 1
 
0.6%
김대진안과의원 1
 
0.6%
다사랑내과의원 1
 
0.6%
보람정형외과의원 1
 
0.6%
한소망소아청소년과의원 1
 
0.6%
의료법인순의료재단효성성모의원 1
 
0.6%
계양장문외과의원 1
 
0.6%
방규태내과의원 1
 
0.6%
Other values (165) 165
94.3%
2024-03-13T14:33:11.593596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
189
 
13.3%
173
 
12.2%
130
 
9.1%
38
 
2.7%
30
 
2.1%
30
 
2.1%
29
 
2.0%
28
 
2.0%
27
 
1.9%
26
 
1.8%
Other values (196) 723
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1403
98.6%
Decimal Number 11
 
0.8%
Space Separator 4
 
0.3%
Uppercase Letter 4
 
0.3%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
189
 
13.5%
173
 
12.3%
130
 
9.3%
38
 
2.7%
30
 
2.1%
30
 
2.1%
29
 
2.1%
28
 
2.0%
27
 
1.9%
26
 
1.9%
Other values (187) 703
50.1%
Decimal Number
ValueCountFrequency (%)
5 4
36.4%
3 3
27.3%
6 3
27.3%
2 1
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
B 2
50.0%
J 1
25.0%
S 1
25.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1403
98.6%
Common 16
 
1.1%
Latin 4
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
189
 
13.5%
173
 
12.3%
130
 
9.3%
38
 
2.7%
30
 
2.1%
30
 
2.1%
29
 
2.1%
28
 
2.0%
27
 
1.9%
26
 
1.9%
Other values (187) 703
50.1%
Common
ValueCountFrequency (%)
5 4
25.0%
4
25.0%
3 3
18.8%
6 3
18.8%
2 1
 
6.2%
& 1
 
6.2%
Latin
ValueCountFrequency (%)
B 2
50.0%
J 1
25.0%
S 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1403
98.6%
ASCII 20
 
1.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
189
 
13.5%
173
 
12.3%
130
 
9.3%
38
 
2.7%
30
 
2.1%
30
 
2.1%
29
 
2.1%
28
 
2.0%
27
 
1.9%
26
 
1.9%
Other values (187) 703
50.1%
ASCII
ValueCountFrequency (%)
5 4
20.0%
4
20.0%
3 3
15.0%
6 3
15.0%
B 2
10.0%
2 1
 
5.0%
J 1
 
5.0%
& 1
 
5.0%
S 1
 
5.0%
Distinct167
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-03-13T14:33:11.872252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length44
Mean length33.146199
Min length22

Characters and Unicode

Total characters5668
Distinct characters155
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

Unique164 ?
Unique (%)95.9%

Sample

1st row인천광역시 계양구 장제로 916, 장원빌딩 3층 301호 (병방동)
2nd row인천광역시 계양구 계산새로 89, 대림프라자 402호 (용종동)
3rd row인천광역시 계양구 오조산로 85, 경동빌딩 2층 일부호 (용종동)
4th row인천광역시 계양구 경명대로 1090, 계산메가타운 601호~603호 (계산동)
5th row인천광역시 계양구 계양대로 27, HOME PLUS 작전점 4층 일부호 (작전동)
ValueCountFrequency (%)
인천광역시 171
 
15.2%
계양구 171
 
15.2%
계산동 57
 
5.1%
작전동 45
 
4.0%
2층 38
 
3.4%
계양대로 33
 
2.9%
장제로 27
 
2.4%
경명대로 21
 
1.9%
효성동 19
 
1.7%
3층 17
 
1.5%
Other values (269) 528
46.9%
2024-03-13T14:33:12.412336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
956
 
16.9%
294
 
5.2%
228
 
4.0%
, 226
 
4.0%
190
 
3.4%
175
 
3.1%
) 172
 
3.0%
( 172
 
3.0%
171
 
3.0%
171
 
3.0%
Other values (145) 2913
51.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3204
56.5%
Space Separator 956
 
16.9%
Decimal Number 911
 
16.1%
Other Punctuation 226
 
4.0%
Close Punctuation 172
 
3.0%
Open Punctuation 172
 
3.0%
Math Symbol 13
 
0.2%
Uppercase Letter 12
 
0.2%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
294
 
9.2%
228
 
7.1%
190
 
5.9%
175
 
5.5%
171
 
5.3%
171
 
5.3%
171
 
5.3%
171
 
5.3%
171
 
5.3%
171
 
5.3%
Other values (120) 1291
40.3%
Decimal Number
ValueCountFrequency (%)
1 165
18.1%
2 145
15.9%
0 139
15.3%
3 100
11.0%
4 88
9.7%
5 83
9.1%
7 53
 
5.8%
9 48
 
5.3%
6 45
 
4.9%
8 45
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
C 4
33.3%
M 1
 
8.3%
U 1
 
8.3%
L 1
 
8.3%
P 1
 
8.3%
E 1
 
8.3%
H 1
 
8.3%
O 1
 
8.3%
S 1
 
8.3%
Space Separator
ValueCountFrequency (%)
956
100.0%
Other Punctuation
ValueCountFrequency (%)
, 226
100.0%
Close Punctuation
ValueCountFrequency (%)
) 172
100.0%
Open Punctuation
ValueCountFrequency (%)
( 172
100.0%
Math Symbol
ValueCountFrequency (%)
~ 13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3204
56.5%
Common 2452
43.3%
Latin 12
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
294
 
9.2%
228
 
7.1%
190
 
5.9%
175
 
5.5%
171
 
5.3%
171
 
5.3%
171
 
5.3%
171
 
5.3%
171
 
5.3%
171
 
5.3%
Other values (120) 1291
40.3%
Common
ValueCountFrequency (%)
956
39.0%
, 226
 
9.2%
) 172
 
7.0%
( 172
 
7.0%
1 165
 
6.7%
2 145
 
5.9%
0 139
 
5.7%
3 100
 
4.1%
4 88
 
3.6%
5 83
 
3.4%
Other values (6) 206
 
8.4%
Latin
ValueCountFrequency (%)
C 4
33.3%
M 1
 
8.3%
U 1
 
8.3%
L 1
 
8.3%
P 1
 
8.3%
E 1
 
8.3%
H 1
 
8.3%
O 1
 
8.3%
S 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3204
56.5%
ASCII 2464
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
956
38.8%
, 226
 
9.2%
) 172
 
7.0%
( 172
 
7.0%
1 165
 
6.7%
2 145
 
5.9%
0 139
 
5.6%
3 100
 
4.1%
4 88
 
3.6%
5 83
 
3.4%
Other values (15) 218
 
8.8%
Hangul
ValueCountFrequency (%)
294
 
9.2%
228
 
7.1%
190
 
5.9%
175
 
5.5%
171
 
5.3%
171
 
5.3%
171
 
5.3%
171
 
5.3%
171
 
5.3%
171
 
5.3%
Other values (120) 1291
40.3%
Distinct171
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-03-13T14:33:12.745527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters2052
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

Unique171 ?
Unique (%)100.0%

Sample

1st row032-543-8500
2nd row032-555-7556
3rd row032-552-7579
4th row032-556-7979
5th row032-549-3335
ValueCountFrequency (%)
032-543-8500 1
 
0.6%
032-554-5511 1
 
0.6%
032-552-3678 1
 
0.6%
032-554-2075 1
 
0.6%
032-554-1784 1
 
0.6%
032-554-0205 1
 
0.6%
032-555-8337 1
 
0.6%
032-545-7899 1
 
0.6%
032-543-8275 1
 
0.6%
032-552-0900 1
 
0.6%
Other values (161) 161
94.2%
2024-03-13T14:33:13.209677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 370
18.0%
- 342
16.7%
0 266
13.0%
2 256
12.5%
3 252
12.3%
4 144
 
7.0%
7 119
 
5.8%
1 101
 
4.9%
8 80
 
3.9%
6 67
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1710
83.3%
Dash Punctuation 342
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 370
21.6%
0 266
15.6%
2 256
15.0%
3 252
14.7%
4 144
 
8.4%
7 119
 
7.0%
1 101
 
5.9%
8 80
 
4.7%
6 67
 
3.9%
9 55
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 342
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2052
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 370
18.0%
- 342
16.7%
0 266
13.0%
2 256
12.5%
3 252
12.3%
4 144
 
7.0%
7 119
 
5.8%
1 101
 
4.9%
8 80
 
3.9%
6 67
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2052
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 370
18.0%
- 342
16.7%
0 266
13.0%
2 256
12.5%
3 252
12.3%
4 144
 
7.0%
7 119
 
5.8%
1 101
 
4.9%
8 80
 
3.9%
6 67
 
3.3%

기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-03-07
171 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-03-07
2nd row2024-03-07
3rd row2024-03-07
4th row2024-03-07
5th row2024-03-07

Common Values

ValueCountFrequency (%)
2024-03-07 171
100.0%

Length

2024-03-13T14:33:13.389533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T14:33:13.532346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-03-07 171
100.0%

Interactions

2024-03-13T14:33:09.518039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-03-13T14:33:09.802957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T14:33:09.956891image/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

순번의료기관명의료기관주소(도로명)의료기관전화번호기준일자
01유안내과의원인천광역시 계양구 장제로 916, 장원빌딩 3층 301호 (병방동)032-543-85002024-03-07
12뉴라이프의원인천광역시 계양구 계산새로 89, 대림프라자 402호 (용종동)032-555-75562024-03-07
23계양연세마취통증의학과의원인천광역시 계양구 오조산로 85, 경동빌딩 2층 일부호 (용종동)032-552-75792024-03-07
34계산역정형외과의원인천광역시 계양구 경명대로 1090, 계산메가타운 601호~603호 (계산동)032-556-79792024-03-07
45씨엘플러스의원인천광역시 계양구 계양대로 27, HOME PLUS 작전점 4층 일부호 (작전동)032-549-33352024-03-07
56메이퓨어의원인천광역시 계양구 계산새로 71, 하이베라스 C동 8층 801~802호 (계산동)032-543-54692024-03-07
67성모늘봄정신건강의학과의원인천광역시 계양구 계양대로 38, 6층 601호 (작전동)032-719-37572024-03-07
78벗이비인후과 임학점 의원인천광역시 계양구 장제로 871, 셀파마빌딩 2층 (임학동)032-710-75312024-03-07
89서울봄안과의원인천광역시 계양구 오조산로 53, 7층 701호~704호 (계산동)032-719-81902024-03-07
910마디척척신경외과의원인천광역시 계양구 장제로 910, 2층~3층 (병방동)032-556-75752024-03-07
순번의료기관명의료기관주소(도로명)의료기관전화번호기준일자
161162강소아청소년과의원인천광역시 계양구 경명대로1114번길 21 (계산동)032-542-26392024-03-07
162163최낙원소아청소년과의원인천광역시 계양구 장제로 911 (병방동)032-546-34512024-03-07
163164중앙의원인천광역시 계양구 주부토로 465, 지하1층,1,2,5층 (작전동)032-542-35382024-03-07
164165이선호소아청소년과의원인천광역시 계양구 봉오대로555번길 14, 썬프라자 (효성동)032-545-10112024-03-07
165166성심재활의학과의원인천광역시 계양구 경명대로 1049 (계산동)032-541-45802024-03-07
166167오안과의원인천광역시 계양구 계양대로 55, 2층 (작전동, 민재빌딩)032-542-21122024-03-07
167168한길의원인천광역시 계양구 안남로 565 (효성동)032-548-31902024-03-07
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