Overview

Dataset statistics

Number of variables6
Number of observations24
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory56.5 B

Variable types

Numeric3
Text3

Dataset

Description인천광역시 미추홀구의 동물등록대행기관에 대한 데이터로 업소명, 전화번호, 도로명주소 등의 항목을 제공하고 있습니다.
Author인천광역시 미추홀구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15086369&srcSe=7661IVAWM27C61E190

Alerts

연번 has unique valuesUnique
업소명 has unique valuesUnique
전화번호 has unique valuesUnique
도로명주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2024-01-28 09:15:12.768374
Analysis finished2024-01-28 09:15:13.755267
Duration0.99 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.5
Minimum1
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-01-28T18:15:13.803391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.15
Q16.75
median12.5
Q318.25
95-th percentile22.85
Maximum24
Range23
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation7.0710678
Coefficient of variation (CV)0.56568542
Kurtosis-1.2
Mean12.5
Median Absolute Deviation (MAD)6
Skewness0
Sum300
Variance50
MonotonicityStrictly increasing
2024-01-28T18:15:13.900619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1 1
 
4.2%
14 1
 
4.2%
24 1
 
4.2%
23 1
 
4.2%
22 1
 
4.2%
21 1
 
4.2%
20 1
 
4.2%
19 1
 
4.2%
18 1
 
4.2%
17 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
1 1
4.2%
2 1
4.2%
3 1
4.2%
4 1
4.2%
5 1
4.2%
6 1
4.2%
7 1
4.2%
8 1
4.2%
9 1
4.2%
10 1
4.2%
ValueCountFrequency (%)
24 1
4.2%
23 1
4.2%
22 1
4.2%
21 1
4.2%
20 1
4.2%
19 1
4.2%
18 1
4.2%
17 1
4.2%
16 1
4.2%
15 1
4.2%

업소명
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-01-28T18:15:14.063677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length7.5416667
Min length6

Characters and Unicode

Total characters181
Distinct characters67
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row브라운동물병원
2nd row하인츠동물병원
3rd row펫홈종합동물병원
4th row건국 본 동물병원
5th row사랑애동물메디컬센터
ValueCountFrequency (%)
동물병원 2
 
7.4%
브라운동물병원 1
 
3.7%
중앙가축병원 1
 
3.7%
포인트동물의료센터 1
 
3.7%
안상수동물병원 1
 
3.7%
24시퍼스트동물의료센터 1
 
3.7%
아나파동물병원 1
 
3.7%
시드니종합동물병원 1
 
3.7%
한국동물병원 1
 
3.7%
학익동물병원 1
 
3.7%
Other values (16) 16
59.3%
2024-01-28T18:15:14.326298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 23
 
12.7%
물 23
 
12.7%
병 21
 
11.6%
원 21
 
11.6%
터 4
 
2.2%
아 4
 
2.2%
합 4
 
2.2%
종 4
 
2.2%
파 3
 
1.7%
시 3
 
1.7%
Other values (57) 71
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 176
97.2%
Space Separator 3
 
1.7%
Decimal Number 2
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 23
 
13.1%
물 23
 
13.1%
병 21
 
11.9%
원 21
 
11.9%
터 4
 
2.3%
아 4
 
2.3%
합 4
 
2.3%
종 4
 
2.3%
파 3
 
1.7%
시 3
 
1.7%
Other values (54) 66
37.5%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
4 1
50.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 176
97.2%
Common 5
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 23
 
13.1%
물 23
 
13.1%
병 21
 
11.9%
원 21
 
11.9%
터 4
 
2.3%
아 4
 
2.3%
합 4
 
2.3%
종 4
 
2.3%
파 3
 
1.7%
시 3
 
1.7%
Other values (54) 66
37.5%
Common
ValueCountFrequency (%)
3
60.0%
2 1
 
20.0%
4 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 176
97.2%
ASCII 5
 
2.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 23
 
13.1%
물 23
 
13.1%
병 21
 
11.9%
원 21
 
11.9%
터 4
 
2.3%
아 4
 
2.3%
합 4
 
2.3%
종 4
 
2.3%
파 3
 
1.7%
시 3
 
1.7%
Other values (54) 66
37.5%
ASCII
ValueCountFrequency (%)
3
60.0%
2 1
 
20.0%
4 1
 
20.0%

전화번호
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-01-28T18:15:14.496629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters288
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

Unique24 ?
Unique (%)100.0%

Sample

1st row032-889-7582
2nd row032-204-7707
3rd row032-427-7588
4th row032-864-0075
5th row032-223-0119
ValueCountFrequency (%)
032-889-7582 1
 
4.2%
032-204-7707 1
 
4.2%
032-882-8275 1
 
4.2%
032-887-1537 1
 
4.2%
032-435-6333 1
 
4.2%
032-876-7585 1
 
4.2%
032-437-7588 1
 
4.2%
032-887-2952 1
 
4.2%
032-868-2626 1
 
4.2%
032-203-0072 1
 
4.2%
Other values (14) 14
58.3%
2024-01-28T18:15:14.765276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 49
17.0%
- 48
16.7%
0 38
13.2%
3 37
12.8%
8 32
11.1%
7 27
9.4%
5 22
7.6%
6 16
 
5.6%
4 11
 
3.8%
9 4
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 240
83.3%
Dash Punctuation 48
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 49
20.4%
0 38
15.8%
3 37
15.4%
8 32
13.3%
7 27
11.2%
5 22
9.2%
6 16
 
6.7%
4 11
 
4.6%
9 4
 
1.7%
1 4
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 288
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 49
17.0%
- 48
16.7%
0 38
13.2%
3 37
12.8%
8 32
11.1%
7 27
9.4%
5 22
7.6%
6 16
 
5.6%
4 11
 
3.8%
9 4
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 288
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 49
17.0%
- 48
16.7%
0 38
13.2%
3 37
12.8%
8 32
11.1%
7 27
9.4%
5 22
7.6%
6 16
 
5.6%
4 11
 
3.8%
9 4
 
1.4%

도로명주소
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-01-28T18:15:14.962740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length33
Mean length26.875
Min length21

Characters and Unicode

Total characters645
Distinct characters81
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row인천광역시 미추홀구 독배로432번길 3(숭의동)
2nd row인천광역시 미추홀구 독배로 305 이한프라자 2층(용현동)
3rd row인천광역시 미추홀구 미추홀대로 620 1층 (주안동)
4th row인천광역시 미추홀구 인하로 287(주안동)
5th row인천광역시 미추홀구 경인로 428 삼성생명빌딩 1층(주안동)
ValueCountFrequency (%)
인천광역시 24
21.8%
미추홀구 24
21.8%
경인로 3
 
2.7%
인주대로 3
 
2.7%
미추홀대로 3
 
2.7%
낙섬중로 2
 
1.8%
1층(주안동 2
 
1.8%
주안동 2
 
1.8%
36(용현동 1
 
0.9%
한나루로 1
 
0.9%
Other values (45) 45
40.9%
2024-01-28T18:15:15.268584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
86
 
13.3%
인 32
 
5.0%
미 28
 
4.3%
추 27
 
4.2%
홀 27
 
4.2%
동 26
 
4.0%
( 24
 
3.7%
광 24
 
3.7%
역 24
 
3.7%
시 24
 
3.7%
Other values (71) 323
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 427
66.2%
Space Separator 86
 
13.3%
Decimal Number 81
 
12.6%
Open Punctuation 24
 
3.7%
Close Punctuation 24
 
3.7%
Other Punctuation 2
 
0.3%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 32
 
7.5%
미 28
 
6.6%
추 27
 
6.3%
홀 27
 
6.3%
동 26
 
6.1%
광 24
 
5.6%
역 24
 
5.6%
시 24
 
5.6%
구 24
 
5.6%
천 24
 
5.6%
Other values (56) 167
39.1%
Decimal Number
ValueCountFrequency (%)
1 16
19.8%
3 12
14.8%
2 10
12.3%
4 9
11.1%
0 7
8.6%
7 6
 
7.4%
5 6
 
7.4%
9 5
 
6.2%
6 5
 
6.2%
8 5
 
6.2%
Space Separator
ValueCountFrequency (%)
86
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 427
66.2%
Common 218
33.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 32
 
7.5%
미 28
 
6.6%
추 27
 
6.3%
홀 27
 
6.3%
동 26
 
6.1%
광 24
 
5.6%
역 24
 
5.6%
시 24
 
5.6%
구 24
 
5.6%
천 24
 
5.6%
Other values (56) 167
39.1%
Common
ValueCountFrequency (%)
86
39.4%
( 24
 
11.0%
) 24
 
11.0%
1 16
 
7.3%
3 12
 
5.5%
2 10
 
4.6%
4 9
 
4.1%
0 7
 
3.2%
7 6
 
2.8%
5 6
 
2.8%
Other values (5) 18
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 427
66.2%
ASCII 218
33.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
86
39.4%
( 24
 
11.0%
) 24
 
11.0%
1 16
 
7.3%
3 12
 
5.5%
2 10
 
4.6%
4 9
 
4.1%
0 7
 
3.2%
7 6
 
2.8%
5 6
 
2.8%
Other values (5) 18
 
8.3%
Hangul
ValueCountFrequency (%)
인 32
 
7.5%
미 28
 
6.6%
추 27
 
6.3%
홀 27
 
6.3%
동 26
 
6.1%
광 24
 
5.6%
역 24
 
5.6%
시 24
 
5.6%
구 24
 
5.6%
천 24
 
5.6%
Other values (56) 167
39.1%

위도
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.453478
Minimum37.441956
Maximum37.470473
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-01-28T18:15:15.374282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.441956
5-th percentile37.442773
Q137.448049
median37.452672
Q337.458246
95-th percentile37.466367
Maximum37.470473
Range0.02851699
Interquartile range (IQR)0.010197376

Descriptive statistics

Standard deviation0.0077026426
Coefficient of variation (CV)0.00020565894
Kurtosis-0.30367145
Mean37.453478
Median Absolute Deviation (MAD)0.0053881954
Skewness0.38738385
Sum898.88347
Variance5.9330703 × 10-5
MonotonicityNot monotonic
2024-01-28T18:15:15.466142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
37.4582334408746 1
 
4.2%
37.44382177 1
 
4.2%
37.44290208 1
 
4.2%
37.45565838 1
 
4.2%
37.45292997 1
 
4.2%
37.4621594948106 1
 
4.2%
37.45828531 1
 
4.2%
37.4506412846237 1
 
4.2%
37.45076074 1
 
4.2%
37.44195578 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
37.44195578 1
4.2%
37.4427502 1
4.2%
37.44290208 1
4.2%
37.44382177 1
4.2%
37.44501583 1
4.2%
37.44745705 1
4.2%
37.44824636 1
4.2%
37.4506412846237 1
4.2%
37.45076074 1
4.2%
37.45149151 1
4.2%
ValueCountFrequency (%)
37.47047277 1
4.2%
37.46672249 1
4.2%
37.46435481 1
4.2%
37.4621594948106 1
4.2%
37.45830369 1
4.2%
37.45828531 1
4.2%
37.4582334408746 1
4.2%
37.45766128 1
4.2%
37.45578764 1
4.2%
37.45565838 1
4.2%

경도
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.66687
Minimum126.63667
Maximum126.69024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-01-28T18:15:15.568863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.63667
5-th percentile126.63734
Q1126.65416
median126.67102
Q3126.68002
95-th percentile126.68738
Maximum126.69024
Range0.053567478
Interquartile range (IQR)0.025858275

Descriptive statistics

Standard deviation0.017249932
Coefficient of variation (CV)0.00013618345
Kurtosis-1.0029484
Mean126.66687
Median Absolute Deviation (MAD)0.009220172
Skewness-0.55038906
Sum3040.005
Variance0.00029756016
MonotonicityNot monotonic
2024-01-28T18:15:15.669407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
126.649380346537 1
 
4.2%
126.6624954 1
 
4.2%
126.6636846 1
 
4.2%
126.6407753 1
 
4.2%
126.6382154 1
 
4.2%
126.690237478499 1
 
4.2%
126.6791157 1
 
4.2%
126.680365444021 1
 
4.2%
126.63667 1
 
4.2%
126.6630017 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
126.63667 1
4.2%
126.637181 1
4.2%
126.6382154 1
4.2%
126.6407753 1
4.2%
126.649380346537 1
4.2%
126.6498467 1
4.2%
126.6555949 1
4.2%
126.6624954 1
4.2%
126.6630017 1
4.2%
126.6634977 1
4.2%
ValueCountFrequency (%)
126.690237478499 1
4.2%
126.6875275 1
4.2%
126.6865718 1
4.2%
126.6825164 1
4.2%
126.680365444021 1
4.2%
126.6801119 1
4.2%
126.6799842 1
4.2%
126.6798011 1
4.2%
126.6791157 1
4.2%
126.6785394 1
4.2%

Interactions

2024-01-28T18:15:13.424199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T18:15:13.039507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T18:15:13.232429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T18:15:13.490040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T18:15:13.102478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T18:15:13.293014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T18:15:13.555486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T18:15:13.167108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T18:15:13.357389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T18:15:15.748073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업소명전화번호도로명주소위도경도
연번1.0001.0001.0001.0000.4220.581
업소명1.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.0001.000
위도0.4221.0001.0001.0001.0000.568
경도0.5811.0001.0001.0000.5681.000
2024-01-28T18:15:15.840742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.000-0.101-0.167
위도-0.1011.0000.203
경도-0.1670.2031.000

Missing values

2024-01-28T18:15:13.643455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T18:15:13.721835image/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

연번업소명전화번호도로명주소위도경도
01브라운동물병원032-889-7582인천광역시 미추홀구 독배로432번길 3(숭의동)37.458233126.64938
12하인츠동물병원032-204-7707인천광역시 미추홀구 독배로 305 이한프라자 2층(용현동)37.447457126.649847
23펫홈종합동물병원032-427-7588인천광역시 미추홀구 미추홀대로 620 1층 (주안동)37.452585126.680112
34건국 본 동물병원032-864-0075인천광역시 미추홀구 인하로 287(주안동)37.448246126.679984
45사랑애동물메디컬센터032-223-0119인천광역시 미추홀구 경인로 428 삼성생명빌딩 1층(주안동)37.457661126.687528
56노아동물병원032-874-2202인천광역시 미추홀구 숙골로90(도화동)37.470473126.663498
67삼성동물종합병원032-868-2526인천광역시 미추홀구 인주대로 277(주안동)37.452512126.667367
78시민동물병원032-426-4545인천광역시 미추홀구 인주대로 413(주안동)37.451492126.682516
89닥터파파동물병원032-863-7582인천광역시 미추홀구 미추홀대로 533 2층(주안동)37.445016126.678539
910온누리동물병원032-866-5725인천광역시 미추홀구 인주대로 168(용현동)37.455788126.655595
연번업소명전화번호도로명주소위도경도
1415아이러브펫 동물병원032-875-7566인천광역시 미추홀구 학익동 648 홈플러스인하점 지하1층(학익동)37.44275126.67467
1516페트로동물병원032-203-0072인천광역시 미추홀구 토금중로 36(용현동)37.452759126.637181
1617학익동물병원032-868-2626인천광역시 미추홀구 한나루로 379 제중빌딩(학익동)37.441956126.663002
1718한국동물병원032-887-2952인천광역시 미추홀구 낙섬중로25(용현동)37.450761126.63667
1819시드니종합동물병원032-437-7588인천광역시 미추홀구 미추홀대로 594 동경프라자 1층(주안동)37.450641126.680365
1920아나파동물병원032-876-7585인천광역시 미추홀구 경인로 354(주안동)37.458285126.679116
202124시퍼스트동물의료센터032-435-6333인천광역시 미추홀구 경원대로 890, 101호111호 (주안동, 보미 리즌빌)37.462159126.690237
2122안상수동물병원032-887-1537인천광역시 미추홀구 낙섬중로 53(용현동)37.45293126.638215
2223포인트동물의료센터032-882-8275인천광역시 미추홀구 낙섬중로 92(용현동)37.455658126.640775
2324바른동물병원032-876-8575인천광역시 미추홀구 소성로136 감초한의원 빌딩 4층(학익동)37.442902126.663685