Overview

Dataset statistics

Number of variables12
Number of observations272
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory26.2 KiB
Average record size in memory98.5 B

Variable types

DateTime4
Text2
Categorical4
Numeric2

Dataset

Description강원특별자치도 강릉시의 길고양이 중성화 사업관리현황에 대한 데이터로 포획 및 방사 일자, 포획 장소, 길고양이의 성별, 체중, 모색 등의 정보를 제공합니다.
Author강원특별자치도 강릉시
URLhttps://www.data.go.kr/data/15093766/fileData.do

Alerts

방사장소 has constant value ""Constant
관리기관명 has constant value ""Constant
전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
체중(kg) is highly overall correlated with 추정나이(세)High correlation
추정나이(세) is highly overall correlated with 체중(kg)High correlation

Reproduction

Analysis started2023-12-16 15:26:11.921701
Analysis finished2023-12-16 15:26:17.038127
Duration5.12 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

포획일자
Date

Distinct140
Distinct (%)51.5%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
Minimum2021-03-16 00:00:00
Maximum2022-12-17 00:00:00
2023-12-16T15:26:17.257887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:26:18.327366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

포획장소
Text

Distinct193
Distinct (%)71.0%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-16T15:26:20.377166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length31
Mean length22.621324
Min length8

Characters and Unicode

Total characters6153
Distinct characters211
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

Unique128 ?
Unique (%)47.1%

Sample

1st row강원특별자치도 강릉시 구정면 칠봉로 678-12
2nd row강원특별자치도 강릉시 죽헌길85번길 75
3rd row강원특별자치도 강릉시 공항길 50-5
4th row강원특별자치도 강릉시 남구길24번길 15-1
5th row강원특별자치도 강릉시 경강로1804번길 63
ValueCountFrequency (%)
강릉시 259
21.3%
강원특별자치도 215
 
17.7%
주문진읍 41
 
3.4%
해안로 18
 
1.5%
사천면 16
 
1.3%
강동면 15
 
1.2%
연곡면 15
 
1.2%
구정면 14
 
1.2%
율곡로 13
 
1.1%
경강로 11
 
0.9%
Other values (335) 599
49.3%
2023-12-16T15:26:22.693439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
952
 
15.5%
강 517
 
8.4%
시 271
 
4.4%
릉 264
 
4.3%
원 225
 
3.7%
도 221
 
3.6%
치 218
 
3.5%
자 217
 
3.5%
특 215
 
3.5%
별 215
 
3.5%
Other values (201) 2838
46.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4071
66.2%
Decimal Number 991
 
16.1%
Space Separator 952
 
15.5%
Dash Punctuation 121
 
2.0%
Other Punctuation 8
 
0.1%
Close Punctuation 5
 
0.1%
Open Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
강 517
 
12.7%
시 271
 
6.7%
릉 264
 
6.5%
원 225
 
5.5%
도 221
 
5.4%
치 218
 
5.4%
자 217
 
5.3%
특 215
 
5.3%
별 215
 
5.3%
길 182
 
4.5%
Other values (186) 1526
37.5%
Decimal Number
ValueCountFrequency (%)
1 201
20.3%
2 163
16.4%
3 109
11.0%
5 97
9.8%
4 79
 
8.0%
9 74
 
7.5%
6 73
 
7.4%
0 72
 
7.3%
8 62
 
6.3%
7 61
 
6.2%
Space Separator
ValueCountFrequency (%)
952
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 121
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4071
66.2%
Common 2082
33.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
강 517
 
12.7%
시 271
 
6.7%
릉 264
 
6.5%
원 225
 
5.5%
도 221
 
5.4%
치 218
 
5.4%
자 217
 
5.3%
특 215
 
5.3%
별 215
 
5.3%
길 182
 
4.5%
Other values (186) 1526
37.5%
Common
ValueCountFrequency (%)
952
45.7%
1 201
 
9.7%
2 163
 
7.8%
- 121
 
5.8%
3 109
 
5.2%
5 97
 
4.7%
4 79
 
3.8%
9 74
 
3.6%
6 73
 
3.5%
0 72
 
3.5%
Other values (5) 141
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4071
66.2%
ASCII 2082
33.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
952
45.7%
1 201
 
9.7%
2 163
 
7.8%
- 121
 
5.8%
3 109
 
5.2%
5 97
 
4.7%
4 79
 
3.8%
9 74
 
3.6%
6 73
 
3.5%
0 72
 
3.5%
Other values (5) 141
 
6.8%
Hangul
ValueCountFrequency (%)
강 517
 
12.7%
시 271
 
6.7%
릉 264
 
6.5%
원 225
 
5.5%
도 221
 
5.4%
치 218
 
5.4%
자 217
 
5.3%
특 215
 
5.3%
별 215
 
5.3%
길 182
 
4.5%
Other values (186) 1526
37.5%

성별
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
암
171 
수
101 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row암
2nd row암
3rd row암
4th row암
5th row암

Common Values

ValueCountFrequency (%)
암 171
62.9%
수 101
37.1%

Length

2023-12-16T15:26:23.412034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T15:26:23.806147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
암 171
62.9%
수 101
37.1%

체중(kg)
Real number (ℝ)

HIGH CORRELATION 

Distinct101
Distinct (%)37.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.8452574
Minimum2.5
Maximum6.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-16T15:26:24.500958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.5
5-th percentile2.964
Q13.2
median3.56
Q34.3
95-th percentile5.489
Maximum6.4
Range3.9
Interquartile range (IQR)1.1

Descriptive statistics

Standard deviation0.8589163
Coefficient of variation (CV)0.2233703
Kurtosis0.21740465
Mean3.8452574
Median Absolute Deviation (MAD)0.46
Skewness0.98182345
Sum1045.91
Variance0.7377372
MonotonicityNot monotonic
2023-12-16T15:26:25.392261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.0 28
 
10.3%
3.2 22
 
8.1%
3.5 13
 
4.8%
3.1 12
 
4.4%
4.0 11
 
4.0%
4.5 8
 
2.9%
3.36 7
 
2.6%
3.4 7
 
2.6%
4.2 6
 
2.2%
5.0 5
 
1.8%
Other values (91) 153
56.2%
ValueCountFrequency (%)
2.5 1
 
0.4%
2.64 1
 
0.4%
2.66 1
 
0.4%
2.7 3
 
1.1%
2.8 3
 
1.1%
2.84 1
 
0.4%
2.88 1
 
0.4%
2.9 2
 
0.7%
2.92 1
 
0.4%
3.0 28
10.3%
ValueCountFrequency (%)
6.4 1
 
0.4%
6.36 1
 
0.4%
6.3 1
 
0.4%
6.24 1
 
0.4%
6.1 1
 
0.4%
6.0 3
1.1%
5.88 1
 
0.4%
5.86 1
 
0.4%
5.8 1
 
0.4%
5.7 1
 
0.4%

추정나이(세)
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2242647
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-16T15:26:26.062564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9357986
Coefficient of variation (CV)0.42072268
Kurtosis4.9826904
Mean2.2242647
Median Absolute Deviation (MAD)1
Skewness1.2803984
Sum605
Variance0.87571901
MonotonicityNot monotonic
2023-12-16T15:26:26.766036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 127
46.7%
3 72
26.5%
1 55
20.2%
4 13
 
4.8%
5 4
 
1.5%
8 1
 
0.4%
ValueCountFrequency (%)
1 55
20.2%
2 127
46.7%
3 72
26.5%
4 13
 
4.8%
5 4
 
1.5%
8 1
 
0.4%
ValueCountFrequency (%)
8 1
 
0.4%
5 4
 
1.5%
4 13
 
4.8%
3 72
26.5%
2 127
46.7%
1 55
20.2%

모색
Text

Distinct73
Distinct (%)26.8%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-16T15:26:27.474760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length6.4080882
Min length1

Characters and Unicode

Total characters1743
Distinct characters23
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)11.4%

Sample

1st row노란색+흰색
2nd row갈색+검은색+흰색
3rd row흰색+회색
4th row검은색+흰색
5th row갈색+검은색+흰색
ValueCountFrequency (%)
흰색 137
30.5%
검정 56
12.5%
갈색 54
 
12.0%
노란색 36
 
8.0%
검은색 28
 
6.2%
회색 17
 
3.8%
흰색+검은색 14
 
3.1%
검은색+흰색 10
 
2.2%
갈색+검은색+흰색 10
 
2.2%
검정색 7
 
1.6%
Other values (34) 80
17.8%
2023-12-16T15:26:29.316908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
색 467
26.8%
+ 300
17.2%
흰 219
12.6%
177
 
10.2%
검 169
 
9.7%
갈 100
 
5.7%
은 84
 
4.8%
정 65
 
3.7%
노 56
 
3.2%
란 49
 
2.8%
Other values (13) 57
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1260
72.3%
Math Symbol 300
 
17.2%
Space Separator 177
 
10.2%
Open Punctuation 3
 
0.2%
Close Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
색 467
37.1%
흰 219
17.4%
검 169
 
13.4%
갈 100
 
7.9%
은 84
 
6.7%
정 65
 
5.2%
노 56
 
4.4%
란 49
 
3.9%
회 30
 
2.4%
랑 6
 
0.5%
Other values (9) 15
 
1.2%
Math Symbol
ValueCountFrequency (%)
+ 300
100.0%
Space Separator
ValueCountFrequency (%)
177
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1260
72.3%
Common 483
 
27.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
색 467
37.1%
흰 219
17.4%
검 169
 
13.4%
갈 100
 
7.9%
은 84
 
6.7%
정 65
 
5.2%
노 56
 
4.4%
란 49
 
3.9%
회 30
 
2.4%
랑 6
 
0.5%
Other values (9) 15
 
1.2%
Common
ValueCountFrequency (%)
+ 300
62.1%
177
36.6%
( 3
 
0.6%
) 3
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1260
72.3%
ASCII 483
 
27.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
색 467
37.1%
흰 219
17.4%
검 169
 
13.4%
갈 100
 
7.9%
은 84
 
6.7%
정 65
 
5.2%
노 56
 
4.4%
란 49
 
3.9%
회 30
 
2.4%
랑 6
 
0.5%
Other values (9) 15
 
1.2%
ASCII
ValueCountFrequency (%)
+ 300
62.1%
177
36.6%
( 3
 
0.6%
) 3
 
0.6%

중성화수술일자
Date

Distinct145
Distinct (%)53.3%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
Minimum2021-03-16 00:00:00
Maximum2022-12-17 00:00:00
2023-12-16T15:26:30.416126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:26:31.175479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

방사일자
Date

Distinct156
Distinct (%)57.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
Minimum2021-03-19 00:00:00
Maximum2022-12-20 00:00:00
2023-12-16T15:26:32.123298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:26:32.976664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

방사장소
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
좌동
272 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row좌동
2nd row좌동
3rd row좌동
4th row좌동
5th row좌동

Common Values

ValueCountFrequency (%)
좌동 272
100.0%

Length

2023-12-16T15:26:33.710324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T15:26:34.313708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
좌동 272
100.0%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
강원특별자치도 강릉시청
272 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row강원특별자치도 강릉시청
2nd row강원특별자치도 강릉시청
3rd row강원특별자치도 강릉시청
4th row강원특별자치도 강릉시청
5th row강원특별자치도 강릉시청

Common Values

ValueCountFrequency (%)
강원특별자치도 강릉시청 272
100.0%

Length

2023-12-16T15:26:34.724813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T15:26:35.212989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강원특별자치도 272
50.0%
강릉시청 272
50.0%

전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
033-640-5843
272 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row033-640-5843
2nd row033-640-5843
3rd row033-640-5843
4th row033-640-5843
5th row033-640-5843

Common Values

ValueCountFrequency (%)
033-640-5843 272
100.0%

Length

2023-12-16T15:26:35.758481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T15:26:36.308275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
033-640-5843 272
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
Minimum2023-12-08 00:00:00
Maximum2023-12-08 00:00:00
2023-12-16T15:26:36.806715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:26:37.224236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-16T15:26:14.346105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:26:13.218729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:26:15.018783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:26:13.811193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-16T15:26:37.709010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
성별체중(kg)추정나이(세)모색
성별1.0000.6200.3850.397
체중(kg)0.6201.0000.5040.399
추정나이(세)0.3850.5041.0000.000
모색0.3970.3990.0001.000
2023-12-16T15:26:38.069165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
체중(kg)추정나이(세)성별
체중(kg)1.0000.5520.474
추정나이(세)0.5521.0000.275
성별0.4740.2751.000

Missing values

2023-12-16T15:26:15.809599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-16T15:26:16.775205image/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

포획일자포획장소성별체중(kg)추정나이(세)모색중성화수술일자방사일자방사장소관리기관명전화번호데이터기준일자
02021-03-16강원특별자치도 강릉시 구정면 칠봉로 678-12암5.83노란색+흰색2021-03-162021-03-19좌동강원특별자치도 강릉시청033-640-58432023-12-08
12021-03-16강원특별자치도 강릉시 죽헌길85번길 75암3.162갈색+검은색+흰색2021-03-162021-03-19좌동강원특별자치도 강릉시청033-640-58432023-12-08
22021-03-17강원특별자치도 강릉시 공항길 50-5암3.762흰색+회색2021-03-172021-03-20좌동강원특별자치도 강릉시청033-640-58432023-12-08
32021-03-20강원특별자치도 강릉시 남구길24번길 15-1암2.881검은색+흰색2021-03-202021-03-23좌동강원특별자치도 강릉시청033-640-58432023-12-08
42021-03-20강원특별자치도 강릉시 경강로1804번길 63암3.92갈색+검은색+흰색2021-03-202021-03-23좌동강원특별자치도 강릉시청033-640-58432023-12-08
52021-03-22강원특별자치도 강릉시 해안로 93-8암4.01갈색+검은색+흰색2021-03-222021-03-25좌동강원특별자치도 강릉시청033-640-58432023-12-08
62021-03-23강원특별자치도 강릉시 보래미하길 68수4.52갈색+흰색2021-03-232021-03-24좌동강원특별자치도 강릉시청033-640-58432023-12-08
72021-03-23강원특별자치도 강릉시 난설헌로219번길 20-1암3.01갈색+흰색2021-03-232021-03-26좌동강원특별자치도 강릉시청033-640-58432023-12-08
82021-03-25강원특별자치도 강릉시 결강로1969번길 4-10암5.162갈색+검은색+흰색2021-03-252021-03-29좌동강원특별자치도 강릉시청033-640-58432023-12-08
92021-03-25강원특별자치도 강릉시 경강로 2209암3.081흰색+검은색+갈색2021-03-252021-03-29좌동강원특별자치도 강릉시청033-640-58432023-12-08
포획일자포획장소성별체중(kg)추정나이(세)모색중성화수술일자방사일자방사장소관리기관명전화번호데이터기준일자
2622022-12-13강동면 율곡로 1852암3.223검정+ 갈색+ 흰색2022-12-132022-12-16좌동강원특별자치도 강릉시청033-640-58432023-12-08
2632022-12-15강릉시 회산로383번길 37수4.344노란색+ 흰색2022-12-152022-12-16좌동강원특별자치도 강릉시청033-640-58432023-12-08
2642022-12-15교동광장로 11수6.43검정2022-12-152022-12-16좌동강원특별자치도 강릉시청033-640-58432023-12-08
2652022-12-16강릉시 남구길5번길 24수5.323검정+ 갈색+ 흰색2022-12-162022-12-17좌동강원특별자치도 강릉시청033-640-58432023-12-08
2662022-12-16주문진읍 구소방서길 9-1암3.762검정+ 갈색+ 흰색2022-12-162022-12-19좌동강원특별자치도 강릉시청033-640-58432023-12-08
2672022-12-16강릉시 강변로 510수5.363검정+ 갈색+ 흰색2022-12-162022-12-17좌동강원특별자치도 강릉시청033-640-58432023-12-08
2682022-12-16사천면 구라미길 46-11암3.543검정+갈색2022-12-162022-12-19좌동강원특별자치도 강릉시청033-640-58432023-12-08
2692022-12-16산양큰길 22번길 5암4.482검정+ 갈색+ 흰색2022-12-162022-12-19좌동강원특별자치도 강릉시청033-640-58432023-12-08
2702022-12-17초당순두부길 99수5.03노란색+ 흰색2022-12-172022-12-19좌동강원특별자치도 강릉시청033-640-58432023-12-08
2712022-12-17강릉시 초당순두부길 99암4.052검정+ 갈색+ 흰색2022-12-172022-12-20좌동강원특별자치도 강릉시청033-640-58432023-12-08