Overview

Dataset statistics

Number of variables27
Number of observations27
Missing cells120
Missing cells (%)16.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.1 KiB
Average record size in memory229.9 B

Variable types

Text10
Categorical10
Numeric4
DateTime3

Dataset

Description동물보호센터 정보 현황(제공표준)
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=L2QPLX21VGSEK9VUALGN25998366&infSeq=1

Alerts

수의사인원수 is highly imbalanced (61.2%)Imbalance
평일분양시작시각 has 20 (74.1%) missing valuesMissing
평일분양종료시각 has 20 (74.1%) missing valuesMissing
주말운영종료시각 has 18 (66.7%) missing valuesMissing
주말분양시작시각 has 21 (77.8%) missing valuesMissing
주말분양종료시각 has 21 (77.8%) missing valuesMissing
사육실수 has 20 (74.1%) missing valuesMissing
사양관리사인원수 has 1 (3.7%) zerosZeros

Reproduction

Analysis started2024-05-17 20:42:16.340098
Analysis finished2024-05-17 20:42:17.222758
Duration0.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

동물보호센터명
Text

Distinct19
Distinct (%)70.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-05-18T05:42:17.425051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length9.4074074
Min length6

Characters and Unicode

Total characters254
Distinct characters65
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

Unique17 ?
Unique (%)63.0%

Sample

1st row부천시수의사회
2nd row한국야생동물보호협회
3rd row가나동물병원
4th row가평군유기동물보호소
5th row고양시동물보호센터
ValueCountFrequency (%)
한국동물구조관리협회 6
20.7%
한국야생동물보호협회 4
 
13.8%
동물보호센터 2
 
6.9%
수원시 1
 
3.4%
하남동물보호센터 1
 
3.4%
남양동물보호센터 1
 
3.4%
광주tnr동물병원송정 1
 
3.4%
정샘동물병원 1
 
3.4%
용인시 1
 
3.4%
양평군유기동물보호소 1
 
3.4%
Other values (10) 10
34.5%
2024-05-18T05:42:18.162926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 26
 
10.2%
물 26
 
10.2%
호 13
 
5.1%
보 13
 
5.1%
회 11
 
4.3%
한 10
 
3.9%
협 10
 
3.9%
국 10
 
3.9%
터 8
 
3.1%
리 8
 
3.1%
Other values (55) 119
46.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 244
96.1%
Uppercase Letter 6
 
2.4%
Space Separator 2
 
0.8%
Decimal Number 2
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 26
 
10.7%
물 26
 
10.7%
호 13
 
5.3%
보 13
 
5.3%
회 11
 
4.5%
한 10
 
4.1%
협 10
 
4.1%
국 10
 
4.1%
터 8
 
3.3%
리 8
 
3.3%
Other values (49) 109
44.7%
Uppercase Letter
ValueCountFrequency (%)
N 2
33.3%
T 2
33.3%
R 2
33.3%
Decimal Number
ValueCountFrequency (%)
4 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 244
96.1%
Latin 6
 
2.4%
Common 4
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 26
 
10.7%
물 26
 
10.7%
호 13
 
5.3%
보 13
 
5.3%
회 11
 
4.5%
한 10
 
4.1%
협 10
 
4.1%
국 10
 
4.1%
터 8
 
3.3%
리 8
 
3.3%
Other values (49) 109
44.7%
Latin
ValueCountFrequency (%)
N 2
33.3%
T 2
33.3%
R 2
33.3%
Common
ValueCountFrequency (%)
2
50.0%
4 1
25.0%
2 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 244
96.1%
ASCII 10
 
3.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 26
 
10.7%
물 26
 
10.7%
호 13
 
5.3%
보 13
 
5.3%
회 11
 
4.5%
한 10
 
4.1%
협 10
 
4.1%
국 10
 
4.1%
터 8
 
3.3%
리 8
 
3.3%
Other values (49) 109
44.7%
ASCII
ValueCountFrequency (%)
N 2
20.0%
2
20.0%
T 2
20.0%
R 2
20.0%
4 1
10.0%
2 1
10.0%

관리기관명
Text

Distinct21
Distinct (%)77.8%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-05-18T05:42:18.497841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length7.0740741
Min length7

Characters and Unicode

Total characters191
Distinct characters36
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)63.0%

Sample

1st row경기도 부천시
2nd row경기도 의왕시
3rd row경기도 부천시
4th row경기도 가평군
5th row경기도 고양시
ValueCountFrequency (%)
경기도 27
50.0%
부천시 4
 
7.4%
광주시 2
 
3.7%
구리시 2
 
3.7%
하남시 2
 
3.7%
안산시 1
 
1.9%
광명시 1
 
1.9%
화성시 1
 
1.9%
용인시 1
 
1.9%
양평군 1
 
1.9%
Other values (12) 12
22.2%
2024-05-18T05:42:19.220482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
경 27
14.1%
도 27
14.1%
27
14.1%
기 27
14.1%
시 25
13.1%
천 7
 
3.7%
부 5
 
2.6%
남 3
 
1.6%
군 3
 
1.6%
평 3
 
1.6%
Other values (26) 37
19.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 164
85.9%
Space Separator 27
 
14.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 27
16.5%
도 27
16.5%
기 27
16.5%
시 25
15.2%
천 7
 
4.3%
부 5
 
3.0%
남 3
 
1.8%
군 3
 
1.8%
평 3
 
1.8%
양 3
 
1.8%
Other values (25) 34
20.7%
Space Separator
ValueCountFrequency (%)
27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 164
85.9%
Common 27
 
14.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 27
16.5%
도 27
16.5%
기 27
16.5%
시 25
15.2%
천 7
 
4.3%
부 5
 
3.0%
남 3
 
1.8%
군 3
 
1.8%
평 3
 
1.8%
양 3
 
1.8%
Other values (25) 34
20.7%
Common
ValueCountFrequency (%)
27
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 164
85.9%
ASCII 27
 
14.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
경 27
16.5%
도 27
16.5%
기 27
16.5%
시 25
15.2%
천 7
 
4.3%
부 5
 
3.0%
남 3
 
1.8%
군 3
 
1.8%
평 3
 
1.8%
양 3
 
1.8%
Other values (25) 34
20.7%
ASCII
ValueCountFrequency (%)
27
100.0%

동물보호센터유형
Categorical

Distinct4
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Memory size348.0 B
법인
18 
동물병원
6 
단체
2 
개인
 
1

Length

Max length4
Median length2
Mean length2.4444444
Min length2

Unique

Unique1 ?
Unique (%)3.7%

Sample

1st row단체
2nd row법인
3rd row동물병원
4th row법인
5th row법인

Common Values

ValueCountFrequency (%)
법인 18
66.7%
동물병원 6
 
22.2%
단체 2
 
7.4%
개인 1
 
3.7%

Length

2024-05-18T05:42:19.717221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T05:42:20.083622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
법인 18
66.7%
동물병원 6
 
22.2%
단체 2
 
7.4%
개인 1
 
3.7%

구조대상동물
Categorical

Distinct11
Distinct (%)40.7%
Missing0
Missing (%)0.0%
Memory size348.0 B
개+고양이+기타
10 
개+고양이+등
3 
개+고양이
3 
개
2 
개+고양이+반려동물
2 
Other values (6)
7 

Length

Max length17
Median length12
Mean length7.4814815
Min length1

Unique

Unique5 ?
Unique (%)18.5%

Sample

1st row개
2nd row개+고양이+기타
3rd row개+고양이+등
4th row개+고양이+기타
5th row개+고양이+기타축종

Common Values

ValueCountFrequency (%)
개+고양이+기타 10
37.0%
개+고양이+등 3
 
11.1%
개+고양이 3
 
11.1%
개 2
 
7.4%
개+고양이+반려동물 2
 
7.4%
개+기타 2
 
7.4%
개+고양이+기타축종 1
 
3.7%
개+고양이+유기유실동물 1
 
3.7%
개+고양이+원숭이 1
 
3.7%
개+고양이+햄스터+기니피그+페럿 1
 
3.7%

Length

2024-05-18T05:42:20.499997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
개+고양이+기타 10
37.0%
개+고양이+등 3
 
11.1%
개+고양이 3
 
11.1%
개 2
 
7.4%
개+고양이+반려동물 2
 
7.4%
개+기타 2
 
7.4%
개+고양이+기타축종 1
 
3.7%
개+고양이+유기유실동물 1
 
3.7%
개+고양이+원숭이 1
 
3.7%
개+고양이+햄스터+기니피그+페럿 1
 
3.7%

소재지도로명주소
Text

Distinct24
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-05-18T05:42:20.944977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length38
Mean length32.333333
Min length21

Characters and Unicode

Total characters873
Distinct characters124
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

Unique22 ?
Unique (%)81.5%

Sample

1st row경기도 부천시 원미구 중동로 100 (중동) 아이파크 상가동 213호
2nd row경기도 안산시 상록구 청곡길 50 (부곡동)
3rd row경기도 부천시 소사구 경인로 72 (송내동)
4th row경기도 가평군 가평읍 아랫마장길 59 (가평읍, 농업기술센터) 가평 유기동물 보호소(10:00~18:00)
5th row경기도 고양시 덕양구 고양대로 1695 (원흥동, 고양시 농업기술센터) 고양시동물보호센터
ValueCountFrequency (%)
경기도 27
 
14.8%
남면 8
 
4.4%
양주시 6
 
3.3%
감악산로 6
 
3.3%
63-37 6
 
3.3%
안산시 5
 
2.7%
상록구 5
 
2.7%
부곡동 5
 
2.7%
부천시 4
 
2.2%
청곡길 4
 
2.2%
Other values (89) 106
58.2%
2024-05-18T05:42:21.978817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
156
 
17.9%
동 31
 
3.6%
기 31
 
3.6%
시 31
 
3.6%
경 29
 
3.3%
도 27
 
3.1%
( 24
 
2.7%
) 24
 
2.7%
1 21
 
2.4%
로 19
 
2.2%
Other values (114) 480
55.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 516
59.1%
Space Separator 156
 
17.9%
Decimal Number 127
 
14.5%
Open Punctuation 24
 
2.7%
Close Punctuation 24
 
2.7%
Dash Punctuation 14
 
1.6%
Other Punctuation 8
 
0.9%
Uppercase Letter 3
 
0.3%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 31
 
6.0%
기 31
 
6.0%
시 31
 
6.0%
경 29
 
5.6%
도 27
 
5.2%
로 19
 
3.7%
구 16
 
3.1%
양 15
 
2.9%
산 12
 
2.3%
남 12
 
2.3%
Other values (94) 293
56.8%
Decimal Number
ValueCountFrequency (%)
1 21
16.5%
0 19
15.0%
3 18
14.2%
7 14
11.0%
2 12
9.4%
6 11
8.7%
5 11
8.7%
4 9
7.1%
9 6
 
4.7%
8 6
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
T 1
33.3%
N 1
33.3%
R 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 6
75.0%
: 2
 
25.0%
Space Separator
ValueCountFrequency (%)
156
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 516
59.1%
Common 354
40.5%
Latin 3
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 31
 
6.0%
기 31
 
6.0%
시 31
 
6.0%
경 29
 
5.6%
도 27
 
5.2%
로 19
 
3.7%
구 16
 
3.1%
양 15
 
2.9%
산 12
 
2.3%
남 12
 
2.3%
Other values (94) 293
56.8%
Common
ValueCountFrequency (%)
156
44.1%
( 24
 
6.8%
) 24
 
6.8%
1 21
 
5.9%
0 19
 
5.4%
3 18
 
5.1%
- 14
 
4.0%
7 14
 
4.0%
2 12
 
3.4%
6 11
 
3.1%
Other values (7) 41
 
11.6%
Latin
ValueCountFrequency (%)
T 1
33.3%
N 1
33.3%
R 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 516
59.1%
ASCII 357
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
156
43.7%
( 24
 
6.7%
) 24
 
6.7%
1 21
 
5.9%
0 19
 
5.3%
3 18
 
5.0%
- 14
 
3.9%
7 14
 
3.9%
2 12
 
3.4%
6 11
 
3.1%
Other values (10) 44
 
12.3%
Hangul
ValueCountFrequency (%)
동 31
 
6.0%
기 31
 
6.0%
시 31
 
6.0%
경 29
 
5.6%
도 27
 
5.2%
로 19
 
3.7%
구 16
 
3.1%
양 15
 
2.9%
산 12
 
2.3%
남 12
 
2.3%
Other values (94) 293
56.8%

소재지지번주소
Text

Distinct24
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-05-18T05:42:22.476053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length31
Mean length23.814815
Min length9

Characters and Unicode

Total characters643
Distinct characters116
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

Unique22 ?
Unique (%)81.5%

Sample

1st row경기도 부천시 중동 1289 팰리스카운티 아이파크 상가동 213호
2nd row경기도 안산시 상록구 부곡동 231-5
3rd row경기도 부천시 소사구 송내동 393-1번지
4th row가평 유기동물 보호소(10:00~18:00)
5th row고양시동물보호센터
ValueCountFrequency (%)
경기도 23
 
16.8%
남면 6
 
4.4%
상수리 6
 
4.4%
양주시 6
 
4.4%
부천시 4
 
2.9%
안산시 3
 
2.2%
부곡동 3
 
2.2%
231-5 3
 
2.2%
상록구 3
 
2.2%
용인시 3
 
2.2%
Other values (68) 77
56.2%
2024-05-18T05:42:23.413758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
110
 
17.1%
1 36
 
5.6%
시 27
 
4.2%
동 24
 
3.7%
기 24
 
3.7%
경 23
 
3.6%
도 23
 
3.6%
- 21
 
3.3%
0 19
 
3.0%
리 14
 
2.2%
Other values (106) 322
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 389
60.5%
Decimal Number 112
 
17.4%
Space Separator 110
 
17.1%
Dash Punctuation 21
 
3.3%
Other Punctuation 3
 
0.5%
Uppercase Letter 3
 
0.5%
Close Punctuation 2
 
0.3%
Open Punctuation 2
 
0.3%
Math Symbol 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 27
 
6.9%
동 24
 
6.2%
기 24
 
6.2%
경 23
 
5.9%
도 23
 
5.9%
리 14
 
3.6%
상 12
 
3.1%
양 11
 
2.8%
구 10
 
2.6%
남 9
 
2.3%
Other values (86) 212
54.5%
Decimal Number
ValueCountFrequency (%)
1 36
32.1%
0 19
17.0%
2 13
 
11.6%
4 12
 
10.7%
3 8
 
7.1%
5 6
 
5.4%
8 6
 
5.4%
7 5
 
4.5%
9 4
 
3.6%
6 3
 
2.7%
Uppercase Letter
ValueCountFrequency (%)
T 1
33.3%
R 1
33.3%
N 1
33.3%
Other Punctuation
ValueCountFrequency (%)
: 2
66.7%
, 1
33.3%
Space Separator
ValueCountFrequency (%)
110
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 389
60.5%
Common 251
39.0%
Latin 3
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 27
 
6.9%
동 24
 
6.2%
기 24
 
6.2%
경 23
 
5.9%
도 23
 
5.9%
리 14
 
3.6%
상 12
 
3.1%
양 11
 
2.8%
구 10
 
2.6%
남 9
 
2.3%
Other values (86) 212
54.5%
Common
ValueCountFrequency (%)
110
43.8%
1 36
 
14.3%
- 21
 
8.4%
0 19
 
7.6%
2 13
 
5.2%
4 12
 
4.8%
3 8
 
3.2%
5 6
 
2.4%
8 6
 
2.4%
7 5
 
2.0%
Other values (7) 15
 
6.0%
Latin
ValueCountFrequency (%)
T 1
33.3%
R 1
33.3%
N 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 389
60.5%
ASCII 254
39.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
110
43.3%
1 36
 
14.2%
- 21
 
8.3%
0 19
 
7.5%
2 13
 
5.1%
4 12
 
4.7%
3 8
 
3.1%
5 6
 
2.4%
8 6
 
2.4%
7 5
 
2.0%
Other values (10) 18
 
7.1%
Hangul
ValueCountFrequency (%)
시 27
 
6.9%
동 24
 
6.2%
기 24
 
6.2%
경 23
 
5.9%
도 23
 
5.9%
리 14
 
3.6%
상 12
 
3.1%
양 11
 
2.8%
구 10
 
2.6%
남 9
 
2.3%
Other values (86) 212
54.5%

위도
Real number (ℝ)

Distinct25
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.527544
Minimum37.130535
Maximum37.870483
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2024-05-18T05:42:23.802864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.130535
5-th percentile37.230459
Q137.340255
median37.500362
Q337.74775
95-th percentile37.870117
Maximum37.870483
Range0.739948
Interquartile range (IQR)0.40749506

Descriptive statistics

Standard deviation0.23499433
Coefficient of variation (CV)0.0062619162
Kurtosis-1.1101585
Mean37.527544
Median Absolute Deviation (MAD)0.16010812
Skewness0.35720355
Sum1013.2437
Variance0.055222336
MonotonicityNot monotonic
2024-05-18T05:42:24.228495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
37.870117 3
 
11.1%
37.505127 1
 
3.7%
37.340107 1
 
3.7%
37.525806 1
 
3.7%
37.87003 1
 
3.7%
37.56878 1
 
3.7%
37.22495 1
 
3.7%
37.417465 1
 
3.7%
37.500362 1
 
3.7%
37.243313 1
 
3.7%
Other values (15) 15
55.6%
ValueCountFrequency (%)
37.130535 1
3.7%
37.22495 1
3.7%
37.243313 1
3.7%
37.28502 1
3.7%
37.340107 1
3.7%
37.34014 1
3.7%
37.340253878 1
3.7%
37.340256 1
3.7%
37.367096 1
3.7%
37.374428 1
3.7%
ValueCountFrequency (%)
37.870483 1
 
3.7%
37.870117 3
11.1%
37.87003 1
 
3.7%
37.869892 1
 
3.7%
37.84572 1
 
3.7%
37.64978 1
 
3.7%
37.613125 1
 
3.7%
37.56878 1
 
3.7%
37.525806 1
 
3.7%
37.5112 1
 
3.7%

경도
Real number (ℝ)

Distinct25
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.01641
Minimum126.74308
Maximum127.51333
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2024-05-18T05:42:24.624251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.74308
5-th percentile126.76676
Q1126.86998
median126.98354
Q3127.13431
95-th percentile127.44576
Maximum127.51333
Range0.77025
Interquartile range (IQR)0.2643275

Descriptive statistics

Standard deviation0.21360916
Coefficient of variation (CV)0.0016817446
Kurtosis0.1974071
Mean127.01641
Median Absolute Deviation (MAD)0.14012
Skewness0.91860994
Sum3429.4431
Variance0.045628874
MonotonicityNot monotonic
2024-05-18T05:42:24.927959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
126.98354 3
 
11.1%
126.81621 1
 
3.7%
126.86997 1
 
3.7%
126.804565 1
 
3.7%
126.983315 1
 
3.7%
127.320755 1
 
3.7%
126.84342 1
 
3.7%
127.2753 1
 
3.7%
126.77513 1
 
3.7%
127.15933 1
 
3.7%
Other values (15) 15
55.6%
ValueCountFrequency (%)
126.74308 1
3.7%
126.763176 1
3.7%
126.77513 1
3.7%
126.804565 1
3.7%
126.81621 1
3.7%
126.84342 1
3.7%
126.86997 1
3.7%
126.87 1
3.7%
126.8700052143 1
3.7%
126.87009 1
3.7%
ValueCountFrequency (%)
127.51333 1
3.7%
127.49934 1
3.7%
127.320755 1
3.7%
127.27578 1
3.7%
127.2753 1
3.7%
127.15933 1
3.7%
127.140945 1
3.7%
127.12768 1
3.7%
127.0787 1
3.7%
127.055405 1
3.7%

동물보호센터지정일자
Date

Distinct18
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Memory size348.0 B
Minimum2014-01-01 00:00:00
Maximum2024-01-01 00:00:00
2024-05-18T05:42:25.299236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T05:42:25.560077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)

평일운영시작시각
Date

Distinct3
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size348.0 B
Minimum2024-05-18 00:00:00
Maximum2024-05-18 10:00:00
2024-05-18T05:42:25.752590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T05:42:26.094420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

평일운영종료시각
Categorical

Distinct6
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Memory size348.0 B
18:00
16 
19:00
4 
24:00
3 
17:00
2 
22:00
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique2 ?
Unique (%)7.4%

Sample

1st row18:00
2nd row17:00
3rd row19:00
4th row18:00
5th row22:00

Common Values

ValueCountFrequency (%)
18:00 16
59.3%
19:00 4
 
14.8%
24:00 3
 
11.1%
17:00 2
 
7.4%
22:00 1
 
3.7%
20:00 1
 
3.7%

Length

2024-05-18T05:42:26.485488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T05:42:26.745023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
18:00 16
59.3%
19:00 4
 
14.8%
24:00 3
 
11.1%
17:00 2
 
7.4%
22:00 1
 
3.7%
20:00 1
 
3.7%

평일분양시작시각
Text

MISSING 

Distinct4
Distinct (%)57.1%
Missing20
Missing (%)74.1%
Memory size348.0 B
2024-05-18T05:42:26.952566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4.4285714
Min length1

Characters and Unicode

Total characters31
Distinct characters5
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

Unique3 ?
Unique (%)42.9%

Sample

1st row10:00
2nd row:
3rd row10:00
4th row10:00
5th row09:00
ValueCountFrequency (%)
10:00 4
57.1%
1
 
14.3%
09:00 1
 
14.3%
13:00 1
 
14.3%
2024-05-18T05:42:27.597546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 17
54.8%
: 7
22.6%
1 5
 
16.1%
9 1
 
3.2%
3 1
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24
77.4%
Other Punctuation 7
 
22.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 17
70.8%
1 5
 
20.8%
9 1
 
4.2%
3 1
 
4.2%
Other Punctuation
ValueCountFrequency (%)
: 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 31
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 17
54.8%
: 7
22.6%
1 5
 
16.1%
9 1
 
3.2%
3 1
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 31
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 17
54.8%
: 7
22.6%
1 5
 
16.1%
9 1
 
3.2%
3 1
 
3.2%

평일분양종료시각
Text

MISSING 

Distinct4
Distinct (%)57.1%
Missing20
Missing (%)74.1%
Memory size348.0 B
2024-05-18T05:42:27.784510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4.4285714
Min length1

Characters and Unicode

Total characters31
Distinct characters6
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

Unique2 ?
Unique (%)28.6%

Sample

1st row17:00
2nd row:
3rd row17:00
4th row17:00
5th row18:00
ValueCountFrequency (%)
17:00 3
42.9%
18:00 2
28.6%
1
 
14.3%
16:00 1
 
14.3%
2024-05-18T05:42:28.562266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 12
38.7%
: 7
22.6%
1 6
19.4%
7 3
 
9.7%
8 2
 
6.5%
6 1
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24
77.4%
Other Punctuation 7
 
22.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 12
50.0%
1 6
25.0%
7 3
 
12.5%
8 2
 
8.3%
6 1
 
4.2%
Other Punctuation
ValueCountFrequency (%)
: 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 31
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 12
38.7%
: 7
22.6%
1 6
19.4%
7 3
 
9.7%
8 2
 
6.5%
6 1
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 31
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 12
38.7%
: 7
22.6%
1 6
19.4%
7 3
 
9.7%
8 2
 
6.5%
6 1
 
3.2%

주말운영시작시각
Categorical

Distinct5
Distinct (%)18.5%
Missing0
Missing (%)0.0%
Memory size348.0 B
<NA>
18 
09:00
6 
00:00
 
1
:
 
1
10:00
 
1

Length

Max length5
Median length4
Mean length4.1851852
Min length1

Unique

Unique3 ?
Unique (%)11.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row09:00

Common Values

ValueCountFrequency (%)
<NA> 18
66.7%
09:00 6
 
22.2%
00:00 1
 
3.7%
: 1
 
3.7%
10:00 1
 
3.7%

Length

2024-05-18T05:42:29.013616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T05:42:29.285286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 18
66.7%
09:00 6
 
22.2%
00:00 1
 
3.7%
1
 
3.7%
10:00 1
 
3.7%

주말운영종료시각
Text

MISSING 

Distinct5
Distinct (%)55.6%
Missing18
Missing (%)66.7%
Memory size348.0 B
2024-05-18T05:42:29.484062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4.5555556
Min length1

Characters and Unicode

Total characters41
Distinct characters6
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

Unique3 ?
Unique (%)33.3%

Sample

1st row18:00
2nd row00:00
3rd row:
4th row17:00
5th row17:00
ValueCountFrequency (%)
18:00 3
33.3%
17:00 3
33.3%
00:00 1
 
11.1%
1
 
11.1%
14:00 1
 
11.1%
2024-05-18T05:42:29.980929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 18
43.9%
: 9
22.0%
1 7
 
17.1%
8 3
 
7.3%
7 3
 
7.3%
4 1
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 32
78.0%
Other Punctuation 9
 
22.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 18
56.2%
1 7
 
21.9%
8 3
 
9.4%
7 3
 
9.4%
4 1
 
3.1%
Other Punctuation
ValueCountFrequency (%)
: 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 41
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 18
43.9%
: 9
22.0%
1 7
 
17.1%
8 3
 
7.3%
7 3
 
7.3%
4 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 41
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 18
43.9%
: 9
22.0%
1 7
 
17.1%
8 3
 
7.3%
7 3
 
7.3%
4 1
 
2.4%

주말분양시작시각
Text

MISSING 

Distinct4
Distinct (%)66.7%
Missing21
Missing (%)77.8%
Memory size348.0 B
2024-05-18T05:42:30.270985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4.3333333
Min length1

Characters and Unicode

Total characters26
Distinct characters4
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

Unique3 ?
Unique (%)50.0%

Sample

1st row00:00
2nd row:
3rd row10:00
4th row10:00
5th row13:00
ValueCountFrequency (%)
10:00 3
50.0%
00:00 1
 
16.7%
1
 
16.7%
13:00 1
 
16.7%
2024-05-18T05:42:30.987249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 15
57.7%
: 6
 
23.1%
1 4
 
15.4%
3 1
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 20
76.9%
Other Punctuation 6
 
23.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 15
75.0%
1 4
 
20.0%
3 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
: 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 26
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 15
57.7%
: 6
 
23.1%
1 4
 
15.4%
3 1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 26
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 15
57.7%
: 6
 
23.1%
1 4
 
15.4%
3 1
 
3.8%

주말분양종료시각
Text

MISSING 

Distinct5
Distinct (%)83.3%
Missing21
Missing (%)77.8%
Memory size348.0 B
2024-05-18T05:42:31.334705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4.3333333
Min length1

Characters and Unicode

Total characters26
Distinct characters6
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

Unique4 ?
Unique (%)66.7%

Sample

1st row00:00
2nd row:
3rd row15:00
4th row15:00
5th row16:00
ValueCountFrequency (%)
15:00 2
33.3%
00:00 1
16.7%
1
16.7%
16:00 1
16.7%
18:00 1
16.7%
2024-05-18T05:42:32.134329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 12
46.2%
: 6
23.1%
1 4
 
15.4%
5 2
 
7.7%
6 1
 
3.8%
8 1
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 20
76.9%
Other Punctuation 6
 
23.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 12
60.0%
1 4
 
20.0%
5 2
 
10.0%
6 1
 
5.0%
8 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
: 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 26
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 12
46.2%
: 6
23.1%
1 4
 
15.4%
5 2
 
7.7%
6 1
 
3.8%
8 1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 26
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 12
46.2%
: 6
23.1%
1 4
 
15.4%
5 2
 
7.7%
6 1
 
3.8%
8 1
 
3.8%

휴무일
Categorical

Distinct8
Distinct (%)29.6%
Missing0
Missing (%)0.0%
Memory size348.0 B
일요일
9 
토요일+일요일
7 
0
5 
토요일+일요일+공휴일
2 
월요일
1 
Other values (3)
3 

Length

Max length11
Median length7
Mean length4.4444444
Min length1

Unique

Unique4 ?
Unique (%)14.8%

Sample

1st row0
2nd row일요일
3rd row일요일
4th row토요일+일요일
5th row0

Common Values

ValueCountFrequency (%)
일요일 9
33.3%
토요일+일요일 7
25.9%
0 5
18.5%
토요일+일요일+공휴일 2
 
7.4%
월요일 1
 
3.7%
공휴일 1
 
3.7%
연중무휴 1
 
3.7%
일요일+공휴일 1
 
3.7%

Length

2024-05-18T05:42:32.535818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T05:42:32.871833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일요일 9
33.3%
토요일+일요일 7
25.9%
0 5
18.5%
토요일+일요일+공휴일 2
 
7.4%
월요일 1
 
3.7%
공휴일 1
 
3.7%
연중무휴 1
 
3.7%
일요일+공휴일 1
 
3.7%

수의사인원수
Categorical

IMBALANCE 

Distinct5
Distinct (%)18.5%
Missing0
Missing (%)0.0%
Memory size348.0 B
1
23 
2
 
1
0
 
1
4
 
1
7
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique4 ?
Unique (%)14.8%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row2

Common Values

ValueCountFrequency (%)
1 23
85.2%
2 1
 
3.7%
0 1
 
3.7%
4 1
 
3.7%
7 1
 
3.7%

Length

2024-05-18T05:42:33.270276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T05:42:33.587040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 23
85.2%
2 1
 
3.7%
0 1
 
3.7%
4 1
 
3.7%
7 1
 
3.7%

사양관리사인원수
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)37.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.037037
Minimum0
Maximum21
Zeros1
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size375.0 B
2024-05-18T05:42:33.900252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median5
Q36
95-th percentile8
Maximum21
Range21
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.9270412
Coefficient of variation (CV)0.77963318
Kurtosis10.241948
Mean5.037037
Median Absolute Deviation (MAD)2
Skewness2.5710199
Sum136
Variance15.421652
MonotonicityNot monotonic
2024-05-18T05:42:34.231819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
6 7
25.9%
4 4
14.8%
1 3
11.1%
3 3
11.1%
8 3
11.1%
2 2
 
7.4%
5 2
 
7.4%
0 1
 
3.7%
21 1
 
3.7%
7 1
 
3.7%
ValueCountFrequency (%)
0 1
 
3.7%
1 3
11.1%
2 2
 
7.4%
3 3
11.1%
4 4
14.8%
5 2
 
7.4%
6 7
25.9%
7 1
 
3.7%
8 3
11.1%
21 1
 
3.7%
ValueCountFrequency (%)
21 1
 
3.7%
8 3
11.1%
7 1
 
3.7%
6 7
25.9%
5 2
 
7.4%
4 4
14.8%
3 3
11.1%
2 2
 
7.4%
1 3
11.1%
0 1
 
3.7%

진료실수
Categorical

Distinct3
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size348.0 B
<NA>
19 
1
7 
0
 
1

Length

Max length4
Median length4
Mean length3.1111111
Min length1

Unique

Unique1 ?
Unique (%)3.7%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row1
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 19
70.4%
1 7
 
25.9%
0 1
 
3.7%

Length

2024-05-18T05:42:34.705958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T05:42:35.050988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
70.4%
1 7
 
25.9%
0 1
 
3.7%

사육실수
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)85.7%
Missing20
Missing (%)74.1%
Infinite0
Infinite (%)0.0%
Mean16.857143
Minimum1
Maximum68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2024-05-18T05:42:35.348957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.2
Q15
median6
Q316.5
95-th percentile55.1
Maximum68
Range67
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation23.842739
Coefficient of variation (CV)1.4143998
Kurtosis4.6628986
Mean16.857143
Median Absolute Deviation (MAD)2
Skewness2.1521023
Sum118
Variance568.47619
MonotonicityNot monotonic
2024-05-18T05:42:35.712100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
5 2
 
7.4%
1 1
 
3.7%
68 1
 
3.7%
6 1
 
3.7%
25 1
 
3.7%
8 1
 
3.7%
(Missing) 20
74.1%
ValueCountFrequency (%)
1 1
3.7%
5 2
7.4%
6 1
3.7%
8 1
3.7%
25 1
3.7%
68 1
3.7%
ValueCountFrequency (%)
68 1
3.7%
25 1
3.7%
8 1
3.7%
6 1
3.7%
5 2
7.4%
1 1
3.7%

격리실수
Categorical

Distinct3
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size348.0 B
<NA>
19 
1
6 
2
2 

Length

Max length4
Median length4
Mean length3.1111111
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row1
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 19
70.4%
1 6
 
22.2%
2 2
 
7.4%

Length

2024-05-18T05:42:36.149531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T05:42:36.493368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
70.4%
1 6
 
22.2%
2 2
 
7.4%

사료보관실수
Categorical

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
<NA>
19 
1
8 

Length

Max length4
Median length4
Mean length3.1111111
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row1
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 19
70.4%
1 8
29.6%

Length

2024-05-18T05:42:36.871341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T05:42:37.210152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
70.4%
1 8
29.6%

구조운반용차량보유대수
Categorical

Distinct4
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Memory size348.0 B
<NA>
12 
2
8 
1
6 
5
 
1

Length

Max length4
Median length1
Mean length2.3333333
Min length1

Unique

Unique1 ?
Unique (%)3.7%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row2
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 12
44.4%
2 8
29.6%
1 6
22.2%
5 1
 
3.7%

Length

2024-05-18T05:42:37.780863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T05:42:38.144794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 12
44.4%
2 8
29.6%
1 6
22.2%
5 1
 
3.7%

전화번호
Text

Distinct19
Distinct (%)70.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-05-18T05:42:38.549068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.074074
Min length12

Characters and Unicode

Total characters326
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)63.0%

Sample

1st row032-661-7575
2nd row031-296-0124
3rd row032-665-0075
4th row031-580-4794
5th row031-962-3232
ValueCountFrequency (%)
031-867-9119 6
22.2%
031-296-0124 4
14.8%
031-310-6945 1
 
3.7%
031-228-3557 1
 
3.7%
1
 
3.7%
031-356-2281 1
 
3.7%
031-798-7583 1
 
3.7%
032-323-4999 1
 
3.7%
031-324-3463 1
 
3.7%
031-770-2337 1
 
3.7%
Other values (9) 9
33.3%
2024-05-18T05:42:39.450010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 54
16.6%
1 43
13.2%
3 41
12.6%
0 38
11.7%
9 27
8.3%
2 26
8.0%
6 22
6.7%
7 21
 
6.4%
8 16
 
4.9%
5 14
 
4.3%
Other values (2) 24
7.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 261
80.1%
Dash Punctuation 54
 
16.6%
Other Punctuation 11
 
3.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 43
16.5%
3 41
15.7%
0 38
14.6%
9 27
10.3%
2 26
10.0%
6 22
8.4%
7 21
8.0%
8 16
 
6.1%
5 14
 
5.4%
4 13
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%
Other Punctuation
ValueCountFrequency (%)
* 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 326
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 54
16.6%
1 43
13.2%
3 41
12.6%
0 38
11.7%
9 27
8.3%
2 26
8.0%
6 22
6.7%
7 21
 
6.4%
8 16
 
4.9%
5 14
 
4.3%
Other values (2) 24
7.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 326
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 54
16.6%
1 43
13.2%
3 41
12.6%
0 38
11.7%
9 27
8.3%
2 26
8.0%
6 22
6.7%
7 21
 
6.4%
8 16
 
4.9%
5 14
 
4.3%
Other values (2) 24
7.4%

데이터기준일자
Date

Distinct20
Distinct (%)74.1%
Missing0
Missing (%)0.0%
Memory size348.0 B
Minimum2023-01-12 00:00:00
Maximum2024-03-15 00:00:00
2024-05-18T05:42:39.812744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T05:42:40.201599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)

Sample

동물보호센터명관리기관명동물보호센터유형구조대상동물소재지도로명주소소재지지번주소위도경도동물보호센터지정일자평일운영시작시각평일운영종료시각평일분양시작시각평일분양종료시각주말운영시작시각주말운영종료시각주말분양시작시각주말분양종료시각휴무일수의사인원수사양관리사인원수진료실수사육실수격리실수사료보관실수구조운반용차량보유대수전화번호데이터기준일자
0부천시수의사회경기도 부천시단체개경기도 부천시 원미구 중동로 100 (중동) 아이파크 상가동 213호경기도 부천시 중동 1289 팰리스카운티 아이파크 상가동 213호37.505127126.816212021-01-0110:0018:00<NA><NA><NA><NA><NA><NA>011<NA><NA><NA><NA><NA>032-661-75752023-12-11
1한국야생동물보호협회경기도 의왕시법인개+고양이+기타경기도 안산시 상록구 청곡길 50 (부곡동)경기도 안산시 상록구 부곡동 231-537.340254126.8700052023-01-0210:0017:00<NA><NA><NA><NA><NA><NA>일요일14<NA><NA><NA><NA><NA>031-296-01242023-01-16
2가나동물병원경기도 부천시동물병원개+고양이+등경기도 부천시 소사구 경인로 72 (송내동)경기도 부천시 소사구 송내동 393-1번지37.483532126.7631762021-01-0110:0019:00<NA><NA><NA><NA><NA><NA>일요일11<NA><NA><NA><NA><NA>032-665-00752023-01-18
3가평군유기동물보호소경기도 가평군법인개+고양이+기타경기도 가평군 가평읍 아랫마장길 59 (가평읍, 농업기술센터) 가평 유기동물 보호소(10:00~18:00)가평 유기동물 보호소(10:00~18:00)37.84572127.499342014-01-0109:0018:00<NA><NA><NA><NA><NA><NA>토요일+일요일1411112031-580-47942024-02-15
4고양시동물보호센터경기도 고양시법인개+고양이+기타축종경기도 고양시 덕양구 고양대로 1695 (원흥동, 고양시 농업기술센터) 고양시동물보호센터고양시동물보호센터37.64978126.870092014-02-1909:0022:00<NA><NA>09:0018:00<NA><NA>026<NA><NA><NA><NA><NA>031-962-32322023-01-18
5광주TNR동물병원초월경기도 광주시동물병원개+고양이+반려동물경기도 광주시 초월읍 현산로385번길 74-12 (초월읍)경기도 광주시 초월읍 지월리 713-237.415928127.275782022-03-0110:0019:00<NA><NA><NA><NA><NA><NA>토요일+일요일13<NA><NA><NA><NA>1031-798-75812023-11-24
6구리반려동물문화센터경기도 구리시법인개+고양이경기도 구리시 동구릉로136번길 57 (인창동) 2층경기도 구리시 인창동 430 구리유통종합상가 2층37.613125127.1409452023-12-2110:0019:00<NA><NA><NA><NA><NA><NA>월요일00<NA><NA><NA><NA><NA>031-566-00592023-12-21
7펫앤쉘터동물병원경기도 성남시동물병원개+고양이+유기유실동물경기도 성남시 분당구 불정로 266 (수내동, 유신제일조합)경기도 성남시 분당구 수내동 87-1번지 유신제일조합37.367096127.127682017-01-0110:0018:00<NA><NA><NA><NA><NA><NA>공휴일16<NA><NA><NA><NA><NA>031-714-83922023-11-23
8평택시유기동물보호소경기도 평택시법인개+고양이+기타경기도 평택시 진위면 야막길 108-86 (진위면)경기도 평택시 진위면 야막리 85-4번지37.130535127.0554052018-12-2809:0018:0010:0017:0000:0000:0000:0000:00토요일+일요일13068112031-8024-38492024-01-25
9한국동물구조관리협회경기도 동두천시법인개+고양이+기타경기도 양주시 남면 감악산로 63-37경기도 양주시 남면 상수리 410-1번지37.869892126.9831162021-01-0109:0018:00::::::토요일+일요일1816112031-867-91192024-03-15
동물보호센터명관리기관명동물보호센터유형구조대상동물소재지도로명주소소재지지번주소위도경도동물보호센터지정일자평일운영시작시각평일운영종료시각평일분양시작시각평일분양종료시각주말운영시작시각주말운영종료시각주말분양시작시각주말분양종료시각휴무일수의사인원수사양관리사인원수진료실수사육실수격리실수사료보관실수구조운반용차량보유대수전화번호데이터기준일자
17시흥동물누리보호센터경기도 시흥시법인개+고양이+햄스터+기니피그+페럿경기도 시흥시 뒷방울길 218 (정왕동)경기도 시흥시 정왕동 산15-737.374428126.743082022-03-1609:0018:00<NA><NA><NA><NA><NA><NA>일요일14<NA><NA><NA><NA>1031-310-69452024-01-29
18양평군유기동물보호소경기도 양평군법인개+고양이경기도 양평군 양평읍 농업기술센터길 59-1경기도 양평군 양평읍 공흥리 1-137.5112127.513332019-01-0109:0018:0013:0016:0009:0018:0013:0016:00016125112031-770-23372023-12-25
19용인시 동물보호센터경기도 용인시법인개+고양이경기도 용인시 처인구 중부대로 1074-1 (삼가동) 용인시 동물보호센터경기도 용인시 처인구 삼가동 164 용인시 동물보호센터 용인시 동물보호센터37.243313127.159332017-01-0109:0018:00<NA><NA><NA><NA><NA><NA>토요일+일요일+공휴일171<NA>111031-324-34632023-01-17
20정샘동물병원경기도 부천시동물병원개+고양이+등경기도 부천시 원미구 중동로 244 (중동, 상록센트럴타워) 109,110호경기도 부천시 중동 1152 상록센트럴타워 109,110호37.500362126.775132021-01-0110:0020:00<NA><NA><NA><NA><NA><NA>일요일11<NA><NA><NA><NA><NA>032-323-49992023-10-19
21광주TNR동물병원송정경기도 광주시동물병원개+고양이+반려동물경기도 광주시 경안천로 142 (송정동) 광주TNR동물병원경기도 광주시 송정동 6-16 광주TNR동물병원37.417465127.27532022-03-0110:0019:00<NA><NA>10:0014:00<NA><NA>토요일+일요일13<NA><NA><NA><NA>1031-798-75832023-07-10
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