Overview

Dataset statistics

Number of variables5
Number of observations32
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory44.0 B

Variable types

Text3
Boolean1
Categorical1

Dataset

Description인천광역시 부평구 동물병원의 현황 정보를 제공하는 데이터입니다. 업소명, 사업장소재지, 전화번호, 방사선장비 보유현황 등을 제공합니다.
Author인천광역시 부평구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=3080668&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일자 has constant value ""Constant
방사선장비 보유현황 is highly imbalanced (66.3%)Imbalance
병원명 has unique valuesUnique
사업장소재지(도로명) has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-04-21 22:12:04.947546
Analysis finished2024-04-21 22:12:06.017405
Duration1.07 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

병원명
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size384.0 B
2024-04-22T07:12:06.631448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length11
Mean length7.53125
Min length5

Characters and Unicode

Total characters241
Distinct characters72
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st row보비동물병원
2nd row세림동물병원
3rd row애나동물병원
4th row백마동물병원
5th row동수동물병원
ValueCountFrequency (%)
동물병원 2
 
5.3%
동물의료센터 2
 
5.3%
보비동물병원 1
 
2.6%
sky 1
 
2.6%
부평프라임동물병원 1
 
2.6%
반디동물병원 1
 
2.6%
현대동물병원 1
 
2.6%
주주종합동물병원 1
 
2.6%
부평종합동물의료센터 1
 
2.6%
부평24시 1
 
2.6%
Other values (26) 26
68.4%
2024-04-22T07:12:07.568433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 34
14.1%
물 32
 
13.3%
원 30
 
12.4%
병 29
 
12.0%
종 7
 
2.9%
합 7
 
2.9%
6
 
2.5%
평 5
 
2.1%
부 5
 
2.1%
의 3
 
1.2%
Other values (62) 83
34.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 230
95.4%
Space Separator 6
 
2.5%
Uppercase Letter 3
 
1.2%
Decimal Number 2
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 34
14.8%
물 32
13.9%
원 30
 
13.0%
병 29
 
12.6%
종 7
 
3.0%
합 7
 
3.0%
평 5
 
2.2%
부 5
 
2.2%
의 3
 
1.3%
터 3
 
1.3%
Other values (56) 75
32.6%
Uppercase Letter
ValueCountFrequency (%)
S 1
33.3%
K 1
33.3%
Y 1
33.3%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
4 1
50.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 230
95.4%
Common 8
 
3.3%
Latin 3
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 34
14.8%
물 32
13.9%
원 30
 
13.0%
병 29
 
12.6%
종 7
 
3.0%
합 7
 
3.0%
평 5
 
2.2%
부 5
 
2.2%
의 3
 
1.3%
터 3
 
1.3%
Other values (56) 75
32.6%
Common
ValueCountFrequency (%)
6
75.0%
2 1
 
12.5%
4 1
 
12.5%
Latin
ValueCountFrequency (%)
S 1
33.3%
K 1
33.3%
Y 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 230
95.4%
ASCII 11
 
4.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 34
14.8%
물 32
13.9%
원 30
 
13.0%
병 29
 
12.6%
종 7
 
3.0%
합 7
 
3.0%
평 5
 
2.2%
부 5
 
2.2%
의 3
 
1.3%
터 3
 
1.3%
Other values (56) 75
32.6%
ASCII
ValueCountFrequency (%)
6
54.5%
2 1
 
9.1%
4 1
 
9.1%
S 1
 
9.1%
K 1
 
9.1%
Y 1
 
9.1%

사업장소재지(도로명)
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size384.0 B
2024-04-22T07:12:08.447857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length42
Mean length31.4375
Min length22

Characters and Unicode

Total characters1006
Distinct characters107
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

Unique32 ?
Unique (%)100.0%

Sample

1st row인천광역시 부평구 원적로 407 (산곡동)
2nd row인천광역시 부평구 원적로 392 (산곡동)
3rd row인천광역시 부평구 마장로 383 (산곡동)
4th row인천광역시 부평구 부평대로 132, 1층 102호 (부평동, 헤리움노블레스)
5th row인천광역시 부평구 경원대로 1422 (부평동)
ValueCountFrequency (%)
인천광역시 32
 
16.1%
부평구 32
 
16.1%
부평동 11
 
5.5%
산곡동 6
 
3.0%
1층 5
 
2.5%
삼산동 5
 
2.5%
경원대로 5
 
2.5%
부개동 4
 
2.0%
경인로 3
 
1.5%
갈산동 3
 
1.5%
Other values (81) 93
46.7%
2024-04-22T07:12:09.574939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
167
 
16.6%
부 56
 
5.6%
평 50
 
5.0%
1 42
 
4.2%
천 37
 
3.7%
동 36
 
3.6%
인 35
 
3.5%
시 33
 
3.3%
( 32
 
3.2%
광 32
 
3.2%
Other values (97) 486
48.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 564
56.1%
Decimal Number 171
 
17.0%
Space Separator 167
 
16.6%
Open Punctuation 32
 
3.2%
Close Punctuation 32
 
3.2%
Other Punctuation 30
 
3.0%
Math Symbol 5
 
0.5%
Uppercase Letter 3
 
0.3%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 56
 
9.9%
평 50
 
8.9%
천 37
 
6.6%
동 36
 
6.4%
인 35
 
6.2%
시 33
 
5.9%
광 32
 
5.7%
로 32
 
5.7%
역 32
 
5.7%
구 32
 
5.7%
Other values (78) 189
33.5%
Decimal Number
ValueCountFrequency (%)
1 42
24.6%
2 26
15.2%
0 26
15.2%
4 19
11.1%
3 16
 
9.4%
6 10
 
5.8%
5 9
 
5.3%
8 9
 
5.3%
7 8
 
4.7%
9 6
 
3.5%
Uppercase Letter
ValueCountFrequency (%)
S 1
33.3%
F 1
33.3%
D 1
33.3%
Space Separator
ValueCountFrequency (%)
167
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Other Punctuation
ValueCountFrequency (%)
, 30
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 564
56.1%
Common 439
43.6%
Latin 3
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 56
 
9.9%
평 50
 
8.9%
천 37
 
6.6%
동 36
 
6.4%
인 35
 
6.2%
시 33
 
5.9%
광 32
 
5.7%
로 32
 
5.7%
역 32
 
5.7%
구 32
 
5.7%
Other values (78) 189
33.5%
Common
ValueCountFrequency (%)
167
38.0%
1 42
 
9.6%
( 32
 
7.3%
) 32
 
7.3%
, 30
 
6.8%
2 26
 
5.9%
0 26
 
5.9%
4 19
 
4.3%
3 16
 
3.6%
6 10
 
2.3%
Other values (6) 39
 
8.9%
Latin
ValueCountFrequency (%)
S 1
33.3%
F 1
33.3%
D 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 564
56.1%
ASCII 442
43.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
167
37.8%
1 42
 
9.5%
( 32
 
7.2%
) 32
 
7.2%
, 30
 
6.8%
2 26
 
5.9%
0 26
 
5.9%
4 19
 
4.3%
3 16
 
3.6%
6 10
 
2.3%
Other values (9) 42
 
9.5%
Hangul
ValueCountFrequency (%)
부 56
 
9.9%
평 50
 
8.9%
천 37
 
6.6%
동 36
 
6.4%
인 35
 
6.2%
시 33
 
5.9%
광 32
 
5.7%
로 32
 
5.7%
역 32
 
5.7%
구 32
 
5.7%
Other values (78) 189
33.5%

전화번호
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size384.0 B
2024-04-22T07:12:10.250885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters384
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

Unique32 ?
Unique (%)100.0%

Sample

1st row032-524-6959
2nd row032-503-0075
3rd row032-529-9633
4th row032-528-1359
5th row032-511-5338
ValueCountFrequency (%)
032-524-6959 1
 
3.1%
032-503-0075 1
 
3.1%
032-505-7975 1
 
3.1%
032-719-4812 1
 
3.1%
032-515-3375 1
 
3.1%
032-524-5557 1
 
3.1%
032-362-8111 1
 
3.1%
032-710-7533 1
 
3.1%
032-511-6836 1
 
3.1%
032-505-7262 1
 
3.1%
Other values (22) 22
68.8%
2024-04-22T07:12:11.146561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 64
16.7%
0 60
15.6%
5 57
14.8%
2 53
13.8%
3 50
13.0%
7 30
7.8%
1 24
 
6.2%
8 17
 
4.4%
4 13
 
3.4%
6 8
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 320
83.3%
Dash Punctuation 64
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 60
18.8%
5 57
17.8%
2 53
16.6%
3 50
15.6%
7 30
9.4%
1 24
 
7.5%
8 17
 
5.3%
4 13
 
4.1%
6 8
 
2.5%
9 8
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 384
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 64
16.7%
0 60
15.6%
5 57
14.8%
2 53
13.8%
3 50
13.0%
7 30
7.8%
1 24
 
6.2%
8 17
 
4.4%
4 13
 
3.4%
6 8
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 384
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 64
16.7%
0 60
15.6%
5 57
14.8%
2 53
13.8%
3 50
13.0%
7 30
7.8%
1 24
 
6.2%
8 17
 
4.4%
4 13
 
3.4%
6 8
 
2.1%

방사선장비 보유현황
Boolean

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size160.0 B
True
30 
False
 
2
ValueCountFrequency (%)
True 30
93.8%
False 2
 
6.2%
2024-04-22T07:12:11.342783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size384.0 B
2023-10-18
32 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-10-18
2nd row2023-10-18
3rd row2023-10-18
4th row2023-10-18
5th row2023-10-18

Common Values

ValueCountFrequency (%)
2023-10-18 32
100.0%

Length

2024-04-22T07:12:11.518895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T07:12:11.685966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-10-18 32
100.0%

Correlations

2024-04-22T07:12:11.787050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
병원명사업장소재지(도로명)전화번호방사선장비 보유현황
병원명1.0001.0001.0001.000
사업장소재지(도로명)1.0001.0001.0001.000
전화번호1.0001.0001.0001.000
방사선장비 보유현황1.0001.0001.0001.000

Missing values

2024-04-22T07:12:05.887133image/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

병원명사업장소재지(도로명)전화번호방사선장비 보유현황데이터기준일자
0보비동물병원인천광역시 부평구 원적로 407 (산곡동)032-524-6959Y2023-10-18
1세림동물병원인천광역시 부평구 원적로 392 (산곡동)032-503-0075Y2023-10-18
2애나동물병원인천광역시 부평구 마장로 383 (산곡동)032-529-9633Y2023-10-18
3백마동물병원인천광역시 부평구 부평대로 132, 1층 102호 (부평동, 헤리움노블레스)032-528-1359Y2023-10-18
4동수동물병원인천광역시 부평구 경원대로 1422 (부평동)032-511-5338Y2023-10-18
5아프리카 동물의료센터인천광역시 부평구 장제로 224-1 (부개동)032-508-7582Y2023-10-18
6부개종합동물병원인천광역시 부평구 부개로 61-6 (부개동)032-522-7585Y2023-10-18
7청천종합동물병원인천광역시 부평구 마장로432번길 3 (청천동)032-517-0075Y2023-10-18
8삼산종합동물병원인천광역시 부평구 체육관로 40 (삼산동)032-330-0075Y2023-10-18
9사랑동물병원인천광역시 부평구 동수천로 124, 103~104호 (부개동)032-203-8984Y2023-10-18
병원명사업장소재지(도로명)전화번호방사선장비 보유현황데이터기준일자
22현대동물병원인천광역시 부평구 경원대로 1286, 101,201호 (부평동, 부평메디아나센터)032-521-6578Y2023-10-18
23주주종합동물병원인천광역시 부평구 경인로 1069, 1층 (부개동)032-505-7262Y2023-10-18
24부평종합동물의료센터인천광역시 부평구 부평대로 138, 부평 신일유스테이션 오피스텔 2층 208~209호 (부평동)032-511-6836Y2023-10-18
25부평24시 SKY 동물의료센터인천광역시 부평구 부흥로 351, 3층 (부평동)032-710-7533Y2023-10-18
26예동물병원인천광역시 부평구 갈월동로 13, 1층 (갈산동)032-362-8111Y2023-10-18
27부평 모모 동물병원인천광역시 부평구 경원대로 1278, 101호 (부평동)032-524-5557Y2023-10-18
28삼산평생동물병원인천광역시 부평구 체육관로 20, 201호 (삼산동, 유림프라자)032-515-3375Y2023-10-18
29온리동물병원인천광역시 부평구 열우물로 90, F동 105호 (십정동, 더샵부평센트럴시티)032-719-4812Y2023-10-18
30해원 동물병원인천광역시 부평구 세월천로 77, 1층 104호~105호 (산곡동)032-505-7975Y2023-10-18
31시민동물병원인천광역시 부평구 경인로 855, DS 까사 101호 (부평동)032-426-4545Y2023-10-18