Overview

Dataset statistics

Number of variables5
Number of observations668
Missing cells3
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory26.9 KiB
Average record size in memory41.2 B

Variable types

Numeric1
Text3
Categorical1

Dataset

Description부평구 의료기관 현황(순번 의료기관명,의료기관종별,의료기관주소,의료기관전화번호)예) 1,부평국민정형외과의원,의원,인천광역시 부평구 부평대로 20, 8층 (부평동),032-525-7070
Author인천광역시 부평구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=3045121&srcSe=7661IVAWM27C61E190

Alerts

순번 has unique valuesUnique

Reproduction

Analysis started2024-03-18 03:54:57.930777
Analysis finished2024-03-18 03:54:58.875339
Duration0.94 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct668
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean334.5
Minimum1
Maximum668
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2024-03-18T12:54:58.966603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile34.35
Q1167.75
median334.5
Q3501.25
95-th percentile634.65
Maximum668
Range667
Interquartile range (IQR)333.5

Descriptive statistics

Standard deviation192.97927
Coefficient of variation (CV)0.57691861
Kurtosis-1.2
Mean334.5
Median Absolute Deviation (MAD)167
Skewness0
Sum223446
Variance37241
MonotonicityStrictly increasing
2024-03-18T12:54:59.092799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
441 1
 
0.1%
443 1
 
0.1%
444 1
 
0.1%
445 1
 
0.1%
446 1
 
0.1%
447 1
 
0.1%
448 1
 
0.1%
449 1
 
0.1%
450 1
 
0.1%
Other values (658) 658
98.5%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
668 1
0.1%
667 1
0.1%
666 1
0.1%
665 1
0.1%
664 1
0.1%
663 1
0.1%
662 1
0.1%
661 1
0.1%
660 1
0.1%
659 1
0.1%

의료기관명
Text

Distinct666
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2024-03-18T12:54:59.316949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length20
Mean length7.6541916
Min length3

Characters and Unicode

Total characters5113
Distinct characters350
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique664 ?
Unique (%)99.4%

Sample

1st row플란치과병원
2nd row이강한방병원
3rd row연세백퍼센트병원
4th row든든한방병원
5th row찬솔한방병원
ValueCountFrequency (%)
부평성모안과의원 2
 
0.3%
우리들의원 2
 
0.3%
성모한의원 1
 
0.1%
부평다인안과의원 1
 
0.1%
부평수흉부외과의원 1
 
0.1%
미래한의원 1
 
0.1%
이화산부인과의원 1
 
0.1%
메트로피부과의원 1
 
0.1%
푸른솔신경과의원 1
 
0.1%
미래치과의원 1
 
0.1%
Other values (669) 669
98.2%
2024-03-18T12:54:59.658897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 692
 
13.5%
원 673
 
13.2%
과 424
 
8.3%
치 187
 
3.7%
한 157
 
3.1%
부 117
 
2.3%
이 82
 
1.6%
평 82
 
1.6%
인 75
 
1.5%
정 69
 
1.3%
Other values (340) 2555
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5069
99.1%
Decimal Number 19
 
0.4%
Space Separator 13
 
0.3%
Dash Punctuation 4
 
0.1%
Close Punctuation 4
 
0.1%
Open Punctuation 3
 
0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 692
 
13.7%
원 673
 
13.3%
과 424
 
8.4%
치 187
 
3.7%
한 157
 
3.1%
부 117
 
2.3%
이 82
 
1.6%
평 82
 
1.6%
인 75
 
1.5%
정 69
 
1.4%
Other values (327) 2511
49.5%
Decimal Number
ValueCountFrequency (%)
5 3
15.8%
6 3
15.8%
3 3
15.8%
2 3
15.8%
8 3
15.8%
0 2
10.5%
1 1
 
5.3%
4 1
 
5.3%
Space Separator
ValueCountFrequency (%)
13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
W 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5069
99.1%
Common 43
 
0.8%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 692
 
13.7%
원 673
 
13.3%
과 424
 
8.4%
치 187
 
3.7%
한 157
 
3.1%
부 117
 
2.3%
이 82
 
1.6%
평 82
 
1.6%
인 75
 
1.5%
정 69
 
1.4%
Other values (327) 2511
49.5%
Common
ValueCountFrequency (%)
13
30.2%
- 4
 
9.3%
) 4
 
9.3%
( 3
 
7.0%
5 3
 
7.0%
6 3
 
7.0%
3 3
 
7.0%
2 3
 
7.0%
8 3
 
7.0%
0 2
 
4.7%
Other values (2) 2
 
4.7%
Latin
ValueCountFrequency (%)
W 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5069
99.1%
ASCII 44
 
0.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 692
 
13.7%
원 673
 
13.3%
과 424
 
8.4%
치 187
 
3.7%
한 157
 
3.1%
부 117
 
2.3%
이 82
 
1.6%
평 82
 
1.6%
인 75
 
1.5%
정 69
 
1.4%
Other values (327) 2511
49.5%
ASCII
ValueCountFrequency (%)
13
29.5%
- 4
 
9.1%
) 4
 
9.1%
( 3
 
6.8%
5 3
 
6.8%
6 3
 
6.8%
3 3
 
6.8%
2 3
 
6.8%
8 3
 
6.8%
0 2
 
4.5%
Other values (3) 3
 
6.8%

의료기관종별
Categorical

Distinct13
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
의원
329 
치과의원
178 
한의원
124 
병원
 
9
한방병원
 
8
Other values (8)
 
20

Length

Max length12
Median length2
Mean length2.8712575
Min length2

Unique

Unique4 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
의원 329
49.3%
치과의원 178
26.6%
한의원 124
 
18.6%
병원 9
 
1.3%
한방병원 8
 
1.2%
요양병원(일반요양병원) 6
 
0.9%
치과병원 5
 
0.7%
종합병원 3
 
0.4%
부속의원 2
 
0.3%
정신병원 1
 
0.1%
Other values (3) 3
 
0.4%

Length

2024-03-18T12:54:59.781177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
의원 329
49.3%
치과의원 178
26.6%
한의원 124
 
18.6%
병원 9
 
1.3%
한방병원 8
 
1.2%
요양병원(일반요양병원 6
 
0.9%
치과병원 5
 
0.7%
종합병원 3
 
0.4%
부속의원 2
 
0.3%
정신병원 1
 
0.1%
Other values (3) 3
 
0.4%

의료기관주소(도로명)
Text

Distinct640
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2024-03-18T12:55:00.013946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length55
Mean length32.625749
Min length21

Characters and Unicode

Total characters21794
Distinct characters263
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique618 ?
Unique (%)92.5%

Sample

1st row인천광역시 부평구 주부토로 17, 메타타워 2~6층 (부평동)
2nd row인천광역시 부평구 길주로 651, 3~5층 (삼산동)
3rd row인천광역시 부평구 부평문화로 87, 7~9층 10층 일부(1001~1005, 1007~1008)호 (부평동)
4th row인천광역시 부평구 부평대로 337, 부평 제이타워3차 지식산업센터 2-15, 3-03, 3-14호 (청천동)
5th row인천광역시 부평구 부흥로 290, 2층 일부, 3층~8층 (부평동)
ValueCountFrequency (%)
인천광역시 668
 
15.2%
부평구 668
 
15.2%
부평동 307
 
7.0%
2층 103
 
2.3%
산곡동 99
 
2.3%
부평대로 97
 
2.2%
3층 81
 
1.8%
삼산동 73
 
1.7%
경원대로 70
 
1.6%
십정동 58
 
1.3%
Other values (734) 2162
49.3%
2024-03-18T12:55:00.446614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3718
 
17.1%
부 1329
 
6.1%
평 1167
 
5.4%
, 875
 
4.0%
천 736
 
3.4%
동 733
 
3.4%
인 706
 
3.2%
광 696
 
3.2%
시 692
 
3.2%
( 682
 
3.1%
Other values (253) 10460
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12448
57.1%
Space Separator 3718
 
17.1%
Decimal Number 3285
 
15.1%
Other Punctuation 877
 
4.0%
Open Punctuation 682
 
3.1%
Close Punctuation 682
 
3.1%
Dash Punctuation 33
 
0.2%
Uppercase Letter 33
 
0.2%
Math Symbol 32
 
0.1%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 1329
 
10.7%
평 1167
 
9.4%
천 736
 
5.9%
동 733
 
5.9%
인 706
 
5.7%
광 696
 
5.6%
시 692
 
5.6%
역 678
 
5.4%
로 675
 
5.4%
구 673
 
5.4%
Other values (221) 4363
35.0%
Decimal Number
ValueCountFrequency (%)
2 549
16.7%
1 539
16.4%
3 491
14.9%
4 433
13.2%
0 389
11.8%
5 246
7.5%
6 220
6.7%
8 151
 
4.6%
7 138
 
4.2%
9 129
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
A 9
27.3%
K 4
12.1%
R 4
12.1%
I 4
12.1%
P 3
 
9.1%
D 3
 
9.1%
F 2
 
6.1%
S 2
 
6.1%
M 1
 
3.0%
Y 1
 
3.0%
Lowercase Letter
ValueCountFrequency (%)
y 1
25.0%
c 1
25.0%
i 1
25.0%
t 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 875
99.8%
@ 1
 
0.1%
· 1
 
0.1%
Space Separator
ValueCountFrequency (%)
3718
100.0%
Open Punctuation
ValueCountFrequency (%)
( 682
100.0%
Close Punctuation
ValueCountFrequency (%)
) 682
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%
Math Symbol
ValueCountFrequency (%)
~ 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12448
57.1%
Common 9309
42.7%
Latin 37
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 1329
 
10.7%
평 1167
 
9.4%
천 736
 
5.9%
동 733
 
5.9%
인 706
 
5.7%
광 696
 
5.6%
시 692
 
5.6%
역 678
 
5.4%
로 675
 
5.4%
구 673
 
5.4%
Other values (221) 4363
35.0%
Common
ValueCountFrequency (%)
3718
39.9%
, 875
 
9.4%
( 682
 
7.3%
) 682
 
7.3%
2 549
 
5.9%
1 539
 
5.8%
3 491
 
5.3%
4 433
 
4.7%
0 389
 
4.2%
5 246
 
2.6%
Other values (8) 705
 
7.6%
Latin
ValueCountFrequency (%)
A 9
24.3%
K 4
10.8%
R 4
10.8%
I 4
10.8%
P 3
 
8.1%
D 3
 
8.1%
F 2
 
5.4%
S 2
 
5.4%
y 1
 
2.7%
M 1
 
2.7%
Other values (4) 4
10.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12448
57.1%
ASCII 9345
42.9%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3718
39.8%
, 875
 
9.4%
( 682
 
7.3%
) 682
 
7.3%
2 549
 
5.9%
1 539
 
5.8%
3 491
 
5.3%
4 433
 
4.6%
0 389
 
4.2%
5 246
 
2.6%
Other values (21) 741
 
7.9%
Hangul
ValueCountFrequency (%)
부 1329
 
10.7%
평 1167
 
9.4%
천 736
 
5.9%
동 733
 
5.9%
인 706
 
5.7%
광 696
 
5.6%
시 692
 
5.6%
역 678
 
5.4%
로 675
 
5.4%
구 673
 
5.4%
Other values (221) 4363
35.0%
None
ValueCountFrequency (%)
· 1
100.0%

의료기관전화번호
Text

Distinct663
Distinct (%)99.7%
Missing3
Missing (%)0.4%
Memory size5.3 KiB
2024-03-18T12:55:00.699112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.954887
Min length9

Characters and Unicode

Total characters7950
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

Unique661 ?
Unique (%)99.4%

Sample

1st row1522-9040
2nd row032-330-2011
3rd row1533-1017
4th row032-515-0515
5th row032-527-5999
ValueCountFrequency (%)
032-528-7288 2
 
0.3%
032-524-6911 2
 
0.3%
032-519-2311 1
 
0.2%
032-441-2804 1
 
0.2%
032-506-7528 1
 
0.2%
032-504-8275 1
 
0.2%
1522-9040 1
 
0.2%
032-515-2275 1
 
0.2%
032-362-1171 1
 
0.2%
032-504-9661 1
 
0.2%
Other values (653) 653
98.2%
2024-03-18T12:55:01.047260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1336
16.8%
- 1320
16.6%
0 1182
14.9%
3 1027
12.9%
5 960
12.1%
1 523
 
6.6%
7 518
 
6.5%
8 420
 
5.3%
6 254
 
3.2%
4 208
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6630
83.4%
Dash Punctuation 1320
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1336
20.2%
0 1182
17.8%
3 1027
15.5%
5 960
14.5%
1 523
 
7.9%
7 518
 
7.8%
8 420
 
6.3%
6 254
 
3.8%
4 208
 
3.1%
9 202
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 1320
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7950
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 1336
16.8%
- 1320
16.6%
0 1182
14.9%
3 1027
12.9%
5 960
12.1%
1 523
 
6.6%
7 518
 
6.5%
8 420
 
5.3%
6 254
 
3.2%
4 208
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7950
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1336
16.8%
- 1320
16.6%
0 1182
14.9%
3 1027
12.9%
5 960
12.1%
1 523
 
6.6%
7 518
 
6.5%
8 420
 
5.3%
6 254
 
3.2%
4 208
 
2.6%

Interactions

2024-03-18T12:54:58.629160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T12:55:01.144121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번의료기관종별
순번1.0000.460
의료기관종별0.4601.000
2024-03-18T12:55:01.215343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번의료기관종별
순번1.0000.209
의료기관종별0.2091.000

Missing values

2024-03-18T12:54:58.745636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T12:54:58.836744image/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

순번의료기관명의료기관종별의료기관주소(도로명)의료기관전화번호
01플란치과병원치과병원인천광역시 부평구 주부토로 17, 메타타워 2~6층 (부평동)1522-9040
12이강한방병원한방병원인천광역시 부평구 길주로 651, 3~5층 (삼산동)032-330-2011
23연세백퍼센트병원병원인천광역시 부평구 부평문화로 87, 7~9층 10층 일부(1001~1005, 1007~1008)호 (부평동)1533-1017
34든든한방병원한방병원인천광역시 부평구 부평대로 337, 부평 제이타워3차 지식산업센터 2-15, 3-03, 3-14호 (청천동)032-515-0515
45찬솔한방병원한방병원인천광역시 부평구 부흥로 290, 2층 일부, 3층~8층 (부평동)<NA>
56청아한방병원한방병원인천광역시 부평구 부평대로51번길 7, 제이·원 부평메디피아 201호, 501호, 601호, 701호 (부평동)032-527-5999
67의료법인 정강의료재단 부평수한방병원한방병원인천광역시 부평구 부흥로 329, 로얄프라자 3층 전체호 (부평동)032-503-8275
78프라임에스치과교정과치과병원치과병원인천광역시 부평구 경원대로 1380, 지하1층 ~ 5층 (부평동)032-504-6030
89라이브치과병원치과병원인천광역시 부평구 부평대로 52, 라이브빌딩 2, 3층 (부평동)032-502-2279
910백운요양병원요양병원(일반요양병원)인천광역시 부평구 마장로 68 (십정동, K빌딩, 지하1층,지상1층(일부),지상2~8층)032-504-0109
순번의료기관명의료기관종별의료기관주소(도로명)의료기관전화번호
658659신이비인후과의원의원인천광역시 부평구 부평대로 21, 3층 (부평동, 금남빌딩)032-523-5242
659660노내과의원의원인천광역시 부평구 부평문화로 100-1 (부평동)032-523-5244
660661김지호피부과의원의원인천광역시 부평구 부평대로 24 (부평동)032-523-5243
661662최충길안과의원의원인천광역시 부평구 부평대로32번길 1, 2층 (부평동)032-503-8193
662663윤석우치과의원치과의원인천광역시 부평구 부흥로 329 (부평동)032-502-8547
663664임의원의원인천광역시 부평구 부평대로 11, 2층 (부평동, 제일메디칼센터)032-519-2311
664665성모한의원한의원인천광역시 부평구 부흥로 247 (부평동)032-522-4409
665666이치과의원치과의원인천광역시 부평구 주부토로 3 (부평동)032-529-2828
666667한국지엠(주)부속의원부속의원인천광역시 부평구 부평대로 233 (청천동, 한국지엠주식회사)032-520-2191
667668한화생명(주)인천부속의원부속의원인천광역시 부평구 부평대로 75 (부평동)032-520-8466