Overview

Dataset statistics

Number of variables4
Number of observations106
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.5 KiB
Average record size in memory34.2 B

Variable types

Numeric1
Text3

Dataset

Description인천광역시 계양구 관내 치과의원 현황에 대한 데이터로, 순번, 의료기관명, 의료기관 주소(도로명), 의료기관 전화번호 등을 제공합니다.
Author인천광역시 계양구
URLhttps://www.data.go.kr/data/3077924/fileData.do

Alerts

순번 has unique valuesUnique
의료기관주소(도로명) has unique valuesUnique
의료기관전화번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 16:39:21.273740
Analysis finished2024-03-14 16:39:22.479973
Duration1.21 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct106
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.5
Minimum1
Maximum106
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-15T01:39:22.711217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.25
Q127.25
median53.5
Q379.75
95-th percentile100.75
Maximum106
Range105
Interquartile range (IQR)52.5

Descriptive statistics

Standard deviation30.743563
Coefficient of variation (CV)0.57464604
Kurtosis-1.2
Mean53.5
Median Absolute Deviation (MAD)26.5
Skewness0
Sum5671
Variance945.16667
MonotonicityStrictly increasing
2024-03-15T01:39:23.162659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.9%
81 1
 
0.9%
79 1
 
0.9%
78 1
 
0.9%
77 1
 
0.9%
76 1
 
0.9%
75 1
 
0.9%
74 1
 
0.9%
73 1
 
0.9%
72 1
 
0.9%
Other values (96) 96
90.6%
ValueCountFrequency (%)
1 1
0.9%
2 1
0.9%
3 1
0.9%
4 1
0.9%
5 1
0.9%
6 1
0.9%
7 1
0.9%
8 1
0.9%
9 1
0.9%
10 1
0.9%
ValueCountFrequency (%)
106 1
0.9%
105 1
0.9%
104 1
0.9%
103 1
0.9%
102 1
0.9%
101 1
0.9%
100 1
0.9%
99 1
0.9%
98 1
0.9%
97 1
0.9%

의료기관명
Text

Distinct104
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size976.0 B
2024-03-15T01:39:24.093635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length7.2830189
Min length5

Characters and Unicode

Total characters772
Distinct characters153
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

Unique102 ?
Unique (%)96.2%

Sample

1st row일등치과의원
2nd row올스마일치과의원
3rd row길치과의원
4th row바른길치과의원
5th row연세세브란스치과의원
ValueCountFrequency (%)
인치과의원 2
 
1.8%
치과의원 2
 
1.8%
굿모닝치과의원 2
 
1.8%
계양미치과의원 1
 
0.9%
세느치과의원 1
 
0.9%
2080치과의원 1
 
0.9%
계산서울치과의원 1
 
0.9%
효성치과의원 1
 
0.9%
서울명문치과의원 1
 
0.9%
gm치과의원 1
 
0.9%
Other values (96) 96
88.1%
2024-03-15T01:39:25.493304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 110
14.2%
원 110
14.2%
치 108
14.0%
의 106
 
13.7%
이 16
 
2.1%
스 13
 
1.7%
계 12
 
1.6%
세 11
 
1.4%
인 9
 
1.2%
연 9
 
1.2%
Other values (143) 268
34.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 756
97.9%
Decimal Number 7
 
0.9%
Uppercase Letter 5
 
0.6%
Space Separator 3
 
0.4%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 110
14.6%
원 110
14.6%
치 108
14.3%
의 106
14.0%
이 16
 
2.1%
스 13
 
1.7%
계 12
 
1.6%
세 11
 
1.5%
인 9
 
1.2%
연 9
 
1.2%
Other values (130) 252
33.3%
Decimal Number
ValueCountFrequency (%)
0 2
28.6%
8 1
14.3%
2 1
14.3%
3 1
14.3%
6 1
14.3%
5 1
14.3%
Uppercase Letter
ValueCountFrequency (%)
M 1
20.0%
G 1
20.0%
W 1
20.0%
U 1
20.0%
P 1
20.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 756
97.9%
Common 11
 
1.4%
Latin 5
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 110
14.6%
원 110
14.6%
치 108
14.3%
의 106
14.0%
이 16
 
2.1%
스 13
 
1.7%
계 12
 
1.6%
세 11
 
1.5%
인 9
 
1.2%
연 9
 
1.2%
Other values (130) 252
33.3%
Common
ValueCountFrequency (%)
3
27.3%
0 2
18.2%
8 1
 
9.1%
2 1
 
9.1%
- 1
 
9.1%
3 1
 
9.1%
6 1
 
9.1%
5 1
 
9.1%
Latin
ValueCountFrequency (%)
M 1
20.0%
G 1
20.0%
W 1
20.0%
U 1
20.0%
P 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 756
97.9%
ASCII 16
 
2.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 110
14.6%
원 110
14.6%
치 108
14.3%
의 106
14.0%
이 16
 
2.1%
스 13
 
1.7%
계 12
 
1.6%
세 11
 
1.5%
인 9
 
1.2%
연 9
 
1.2%
Other values (130) 252
33.3%
ASCII
ValueCountFrequency (%)
3
18.8%
0 2
12.5%
8 1
 
6.2%
2 1
 
6.2%
M 1
 
6.2%
G 1
 
6.2%
- 1
 
6.2%
3 1
 
6.2%
6 1
 
6.2%
5 1
 
6.2%
Other values (3) 3
18.8%

의료기관주소(도로명)
Text

UNIQUE 

Distinct106
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size976.0 B
2024-03-15T01:39:26.533725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length41.5
Mean length31.90566
Min length21

Characters and Unicode

Total characters3382
Distinct characters153
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique106 ?
Unique (%)100.0%

Sample

1st row인천광역시 계양구 장제로 808, 201호 (계산동)
2nd row인천광역시 계양구 계양산로 216, 3층 (임학동)
3rd row인천광역시 계양구 장제로 789, 3층 일부호 (계산동)
4th row인천광역시 계양구 계양대로 94, 영화빌딩 9층 (작전동)
5th row인천광역시 계양구 오조산로 1, 거승프라자 3층 304호 (작전동)
ValueCountFrequency (%)
인천광역시 106
 
15.9%
계양구 106
 
15.9%
계산동 31
 
4.7%
작전동 23
 
3.5%
2층 21
 
3.2%
장제로 18
 
2.7%
계양대로 15
 
2.3%
3층 13
 
2.0%
4층 11
 
1.7%
경명대로 11
 
1.7%
Other values (215) 311
46.7%
2024-03-15T01:39:28.033884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
560
 
16.6%
계 176
 
5.2%
양 136
 
4.0%
동 123
 
3.6%
, 119
 
3.5%
인 107
 
3.2%
) 107
 
3.2%
( 107
 
3.2%
천 107
 
3.2%
광 107
 
3.2%
Other values (143) 1733
51.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1982
58.6%
Space Separator 560
 
16.6%
Decimal Number 499
 
14.8%
Other Punctuation 119
 
3.5%
Close Punctuation 107
 
3.2%
Open Punctuation 107
 
3.2%
Uppercase Letter 6
 
0.2%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
계 176
 
8.9%
양 136
 
6.9%
동 123
 
6.2%
인 107
 
5.4%
천 107
 
5.4%
광 107
 
5.4%
시 107
 
5.4%
역 106
 
5.3%
로 106
 
5.3%
구 106
 
5.3%
Other values (124) 801
40.4%
Decimal Number
ValueCountFrequency (%)
2 90
18.0%
0 75
15.0%
1 73
14.6%
3 55
11.0%
4 45
9.0%
5 40
8.0%
7 37
7.4%
9 33
 
6.6%
6 27
 
5.4%
8 24
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
C 2
33.3%
B 2
33.3%
K 1
16.7%
D 1
16.7%
Space Separator
ValueCountFrequency (%)
560
100.0%
Other Punctuation
ValueCountFrequency (%)
, 119
100.0%
Close Punctuation
ValueCountFrequency (%)
) 107
100.0%
Open Punctuation
ValueCountFrequency (%)
( 107
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1982
58.6%
Common 1394
41.2%
Latin 6
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
계 176
 
8.9%
양 136
 
6.9%
동 123
 
6.2%
인 107
 
5.4%
천 107
 
5.4%
광 107
 
5.4%
시 107
 
5.4%
역 106
 
5.3%
로 106
 
5.3%
구 106
 
5.3%
Other values (124) 801
40.4%
Common
ValueCountFrequency (%)
560
40.2%
, 119
 
8.5%
) 107
 
7.7%
( 107
 
7.7%
2 90
 
6.5%
0 75
 
5.4%
1 73
 
5.2%
3 55
 
3.9%
4 45
 
3.2%
5 40
 
2.9%
Other values (5) 123
 
8.8%
Latin
ValueCountFrequency (%)
C 2
33.3%
B 2
33.3%
K 1
16.7%
D 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1982
58.6%
ASCII 1400
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
560
40.0%
, 119
 
8.5%
) 107
 
7.6%
( 107
 
7.6%
2 90
 
6.4%
0 75
 
5.4%
1 73
 
5.2%
3 55
 
3.9%
4 45
 
3.2%
5 40
 
2.9%
Other values (9) 129
 
9.2%
Hangul
ValueCountFrequency (%)
계 176
 
8.9%
양 136
 
6.9%
동 123
 
6.2%
인 107
 
5.4%
천 107
 
5.4%
광 107
 
5.4%
시 107
 
5.4%
역 106
 
5.3%
로 106
 
5.3%
구 106
 
5.3%
Other values (124) 801
40.4%

의료기관전화번호
Text

UNIQUE 

Distinct106
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size976.0 B
2024-03-15T01:39:29.038147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1272
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

Unique106 ?
Unique (%)100.0%

Sample

1st row032-555-2822
2nd row032-543-2877
3rd row032-548-8020
4th row032-543-7522
5th row032-258-2228
ValueCountFrequency (%)
032-555-2822 1
 
0.9%
032-541-6780 1
 
0.9%
032-554-7528 1
 
0.9%
032-545-7242 1
 
0.9%
032-288-2875 1
 
0.9%
032-555-2020 1
 
0.9%
032-556-2882 1
 
0.9%
032-552-4393 1
 
0.9%
032-548-2879 1
 
0.9%
032-555-5528 1
 
0.9%
Other values (96) 96
90.6%
2024-03-15T01:39:30.455492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 235
18.5%
- 212
16.7%
5 202
15.9%
3 141
11.1%
0 137
10.8%
8 91
 
7.2%
4 88
 
6.9%
7 76
 
6.0%
1 37
 
2.9%
6 28
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1060
83.3%
Dash Punctuation 212
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 235
22.2%
5 202
19.1%
3 141
13.3%
0 137
12.9%
8 91
 
8.6%
4 88
 
8.3%
7 76
 
7.2%
1 37
 
3.5%
6 28
 
2.6%
9 25
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 212
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1272
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 235
18.5%
- 212
16.7%
5 202
15.9%
3 141
11.1%
0 137
10.8%
8 91
 
7.2%
4 88
 
6.9%
7 76
 
6.0%
1 37
 
2.9%
6 28
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1272
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 235
18.5%
- 212
16.7%
5 202
15.9%
3 141
11.1%
0 137
10.8%
8 91
 
7.2%
4 88
 
6.9%
7 76
 
6.0%
1 37
 
2.9%
6 28
 
2.2%

Interactions

2024-03-15T01:39:21.548314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-03-15T01:39:22.102108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T01:39:22.366269image/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)의료기관전화번호
01일등치과의원인천광역시 계양구 장제로 808, 201호 (계산동)032-555-2822
12올스마일치과의원인천광역시 계양구 계양산로 216, 3층 (임학동)032-543-2877
23길치과의원인천광역시 계양구 장제로 789, 3층 일부호 (계산동)032-548-8020
34바른길치과의원인천광역시 계양구 계양대로 94, 영화빌딩 9층 (작전동)032-543-7522
45연세세브란스치과의원인천광역시 계양구 오조산로 1, 거승프라자 3층 304호 (작전동)032-258-2228
56모던플란트치과의원인천광역시 계양구 오조산공원로 26, (주)골드프라자 2층 201호~203호 (용종동)032-542-2080
67하얀이치과의원인천광역시 계양구 병방시장로 79, 2층 (병방동)032-556-2875
78연세자연치과의원인천광역시 계양구 경명대로1045번길 2, 2층 (계산동)032-223-7528
89계양플란트인치과의원인천광역시 계양구 계산새로 89, 대림프라자 3층 302호 (용종동)032-547-2872
910서울하나치과의원인천광역시 계양구 계양산로 194, 4층 (임학동)032-555-2080
순번의료기관명의료기관주소(도로명)의료기관전화번호
9697임창하치과의원인천광역시 계양구 계양대로 45(작전동)032-547-2196
9798엄인석치과의원인천광역시 계양구 봉오대로 739(작전동)032-545-2041
9899박진천치과의원인천광역시 계양구 계양산로215번길 2, 2, 3층 (병방동)032-546-6644
99100국두환치과의원인천광역시 계양구 주부토로 399 (작전동, 푸른프라자)032-543-0446
100101조영호치과의원인천광역시 계양구 경명대로 1043(계산동)032-541-5824
101102이승택치과의원인천광역시 계양구 계양대로 215, 208호 (계산동, 신도브래뉴상가)032-541-2828
102103신동인치과의원인천광역시 계양구 오조산공원로 22, 305호 (용종동, 계양프라자)032-541-1031
103104정우현치과의원인천광역시 계양구 안남로 548, 307호 (효성동, 효성프라자)032-547-2875
104105계양미치과의원인천광역시 계양구 계양대로 53, 휘림빌딩 2층 (작전동)032-543-1590
105106두리부부치과의원인천광역시 계양구 안남로 512, 2층 (효성동)032-547-9235