Overview

Dataset statistics

Number of variables13
Number of observations22
Missing cells24
Missing cells (%)8.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.5 KiB
Average record size in memory115.0 B

Variable types

Categorical2
Text7
Numeric4

Alerts

집계년도 has constant value ""Constant
수용능력수 is highly overall correlated with 계약기간High correlation
소재지우편번호 is highly overall correlated with WGS84위도High correlation
WGS84위도 is highly overall correlated with 소재지우편번호High correlation
계약기간 is highly overall correlated with 수용능력수High correlation
업체전화번호 has 3 (13.6%) missing valuesMissing
대표자명 has 2 (9.1%) missing valuesMissing
비고사항 has 19 (86.4%) missing valuesMissing
업체명 has unique valuesUnique
소재지우편번호 has unique valuesUnique
소재지지번주소 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
WGS84위도 has unique valuesUnique
WGS84경도 has unique valuesUnique

Reproduction

Analysis started2023-12-10 21:03:47.636752
Analysis finished2023-12-10 21:03:50.334461
Duration2.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

집계년도
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023
22 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023
2nd row2023
3rd row2023
4th row2023
5th row2023

Common Values

ValueCountFrequency (%)
2023 22
100.0%

Length

2023-12-11T06:03:50.410575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:03:50.528192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023 22
100.0%

시군명
Text

Distinct18
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-11T06:03:50.665176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.0454545
Min length3

Characters and Unicode

Total characters67
Distinct characters24
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)72.7%

Sample

1st row가평군
2nd row고양시
3rd row광주시
4th row남양주시
5th row부천시
ValueCountFrequency (%)
부천시 4
18.2%
안산시 2
 
9.1%
가평군 1
 
4.5%
양주시 1
 
4.5%
하남시 1
 
4.5%
평택시 1
 
4.5%
용인시 1
 
4.5%
오산시 1
 
4.5%
여주시 1
 
4.5%
양평군 1
 
4.5%
Other values (8) 8
36.4%
2023-12-11T06:03:51.028740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 21
31.3%
부 4
 
6.0%
주 4
 
6.0%
천 4
 
6.0%
양 4
 
6.0%
산 3
 
4.5%
남 3
 
4.5%
성 3
 
4.5%
안 3
 
4.5%
평 3
 
4.5%
Other values (14) 15
22.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 67
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 21
31.3%
부 4
 
6.0%
주 4
 
6.0%
천 4
 
6.0%
양 4
 
6.0%
산 3
 
4.5%
남 3
 
4.5%
성 3
 
4.5%
안 3
 
4.5%
평 3
 
4.5%
Other values (14) 15
22.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 67
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 21
31.3%
부 4
 
6.0%
주 4
 
6.0%
천 4
 
6.0%
양 4
 
6.0%
산 3
 
4.5%
남 3
 
4.5%
성 3
 
4.5%
안 3
 
4.5%
평 3
 
4.5%
Other values (14) 15
22.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 67
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 21
31.3%
부 4
 
6.0%
주 4
 
6.0%
천 4
 
6.0%
양 4
 
6.0%
산 3
 
4.5%
남 3
 
4.5%
성 3
 
4.5%
안 3
 
4.5%
평 3
 
4.5%
Other values (14) 15
22.4%

업체명
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-11T06:03:51.331090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length12.5
Mean length9.2272727
Min length6

Characters and Unicode

Total characters203
Distinct characters68
Distinct categories6 ?
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 (%)100.0%

Sample

1st row가평군동물보호센터
2nd row고양시동물보호센터
3rd row광주TNR동물병원
4th row남양주동물보호센터
5th row가나동물병원
ValueCountFrequency (%)
가평군동물보호센터 1
 
4.0%
이성준동물병원 1
 
4.0%
하남동물병원 1
 
4.0%
동물보호센터 1
 
4.0%
평택시 1
 
4.0%
용인시동물보호센터 1
 
4.0%
수의사회 1
 
4.0%
오산시 1
 
4.0%
부설동물보호센터 1
 
4.0%
위더스동물메디컬센터 1
 
4.0%
Other values (15) 15
60.0%
2023-12-11T06:03:51.811174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 22
 
10.8%
물 22
 
10.8%
터 12
 
5.9%
보 11
 
5.4%
호 11
 
5.4%
센 11
 
5.4%
원 9
 
4.4%
병 8
 
3.9%
시 8
 
3.9%
양 4
 
2.0%
Other values (58) 85
41.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 189
93.1%
Uppercase Letter 5
 
2.5%
Space Separator 3
 
1.5%
Open Punctuation 2
 
1.0%
Close Punctuation 2
 
1.0%
Decimal Number 2
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 22
 
11.6%
물 22
 
11.6%
터 12
 
6.3%
보 11
 
5.8%
호 11
 
5.8%
센 11
 
5.8%
원 9
 
4.8%
병 8
 
4.2%
시 8
 
4.2%
양 4
 
2.1%
Other values (48) 71
37.6%
Uppercase Letter
ValueCountFrequency (%)
J 1
20.0%
C 1
20.0%
R 1
20.0%
N 1
20.0%
T 1
20.0%
Decimal Number
ValueCountFrequency (%)
4 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 189
93.1%
Common 9
 
4.4%
Latin 5
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 22
 
11.6%
물 22
 
11.6%
터 12
 
6.3%
보 11
 
5.8%
호 11
 
5.8%
센 11
 
5.8%
원 9
 
4.8%
병 8
 
4.2%
시 8
 
4.2%
양 4
 
2.1%
Other values (48) 71
37.6%
Common
ValueCountFrequency (%)
3
33.3%
( 2
22.2%
) 2
22.2%
4 1
 
11.1%
2 1
 
11.1%
Latin
ValueCountFrequency (%)
J 1
20.0%
C 1
20.0%
R 1
20.0%
N 1
20.0%
T 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 189
93.1%
ASCII 14
 
6.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 22
 
11.6%
물 22
 
11.6%
터 12
 
6.3%
보 11
 
5.8%
호 11
 
5.8%
센 11
 
5.8%
원 9
 
4.8%
병 8
 
4.2%
시 8
 
4.2%
양 4
 
2.1%
Other values (48) 71
37.6%
ASCII
ValueCountFrequency (%)
3
21.4%
( 2
14.3%
) 2
14.3%
4 1
 
7.1%
2 1
 
7.1%
J 1
 
7.1%
C 1
 
7.1%
R 1
 
7.1%
N 1
 
7.1%
T 1
 
7.1%

업체전화번호
Text

MISSING 

Distinct18
Distinct (%)94.7%
Missing3
Missing (%)13.6%
Memory size308.0 B
2023-12-11T06:03:52.035484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.157895
Min length12

Characters and Unicode

Total characters231
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

Unique17 ?
Unique (%)89.5%

Sample

1st row031-580-4763
2nd row031-962-3232
3rd row031-798-7581
4th row031-590-2785
5th row032-677-5262
ValueCountFrequency (%)
031-296-0124 2
 
10.5%
031-580-4763 1
 
5.3%
031-673-5858 1
 
5.3%
031-793-7802 1
 
5.3%
031-8024-3849 1
 
5.3%
031-324-3463 1
 
5.3%
031-374-4644 1
 
5.3%
031-882-4381 1
 
5.3%
031-770-2337 1
 
5.3%
031-867-0119 1
 
5.3%
Other values (8) 8
42.1%
2023-12-11T06:03:52.438565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 38
16.5%
3 36
15.6%
0 28
12.1%
1 28
12.1%
2 20
8.7%
7 18
7.8%
8 16
6.9%
4 14
 
6.1%
6 12
 
5.2%
5 11
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 193
83.5%
Dash Punctuation 38
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 36
18.7%
0 28
14.5%
1 28
14.5%
2 20
10.4%
7 18
9.3%
8 16
8.3%
4 14
 
7.3%
6 12
 
6.2%
5 11
 
5.7%
9 10
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 231
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 38
16.5%
3 36
15.6%
0 28
12.1%
1 28
12.1%
2 20
8.7%
7 18
7.8%
8 16
6.9%
4 14
 
6.1%
6 12
 
5.2%
5 11
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 231
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 38
16.5%
3 36
15.6%
0 28
12.1%
1 28
12.1%
2 20
8.7%
7 18
7.8%
8 16
6.9%
4 14
 
6.1%
6 12
 
5.2%
5 11
 
4.8%

대표자명
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing2
Missing (%)9.1%
Memory size308.0 B
2023-12-11T06:03:52.702671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.3
Min length3

Characters and Unicode

Total characters66
Distinct characters38
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row가평군수
2nd row고양시장
3rd row성준우
4th row최화락
5th row정종수
ValueCountFrequency (%)
시흥시장 1
 
5.0%
성준우 1
 
5.0%
박한웅 1
 
5.0%
이상인 1
 
5.0%
최박일 1
 
5.0%
용인시장 1
 
5.0%
박철진 1
 
5.0%
양평군수 1
 
5.0%
김철훈 1
 
5.0%
이성준 1
 
5.0%
Other values (10) 10
50.0%
2023-12-11T06:03:53.101058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 5
 
7.6%
수 5
 
7.6%
장 4
 
6.1%
박 4
 
6.1%
준 3
 
4.5%
희 2
 
3.0%
이 2
 
3.0%
양 2
 
3.0%
철 2
 
3.0%
한 2
 
3.0%
Other values (28) 35
53.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 66
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 5
 
7.6%
수 5
 
7.6%
장 4
 
6.1%
박 4
 
6.1%
준 3
 
4.5%
희 2
 
3.0%
이 2
 
3.0%
양 2
 
3.0%
철 2
 
3.0%
한 2
 
3.0%
Other values (28) 35
53.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 66
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 5
 
7.6%
수 5
 
7.6%
장 4
 
6.1%
박 4
 
6.1%
준 3
 
4.5%
희 2
 
3.0%
이 2
 
3.0%
양 2
 
3.0%
철 2
 
3.0%
한 2
 
3.0%
Other values (28) 35
53.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 66
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 5
 
7.6%
수 5
 
7.6%
장 4
 
6.1%
박 4
 
6.1%
준 3
 
4.5%
희 2
 
3.0%
이 2
 
3.0%
양 2
 
3.0%
철 2
 
3.0%
한 2
 
3.0%
Other values (28) 35
53.0%

계약기간
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Memory size308.0 B
20231231
14 
직영
6 
20250228
 
1
20221231
 
1

Length

Max length8
Median length8
Mean length6.3636364
Min length2

Unique

Unique2 ?
Unique (%)9.1%

Sample

1st row직영
2nd row직영
3rd row20250228
4th row20221231
5th row20231231

Common Values

ValueCountFrequency (%)
20231231 14
63.6%
직영 6
27.3%
20250228 1
 
4.5%
20221231 1
 
4.5%

Length

2023-12-11T06:03:53.273436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:03:53.453297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20231231 14
63.6%
직영 6
27.3%
20250228 1
 
4.5%
20221231 1
 
4.5%

수용능력수
Real number (ℝ)

HIGH CORRELATION 

Distinct14
Distinct (%)63.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean130.86364
Minimum15
Maximum800
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-11T06:03:53.606695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile15.25
Q142.5
median95
Q3100
95-th percentile392.5
Maximum800
Range785
Interquartile range (IQR)57.5

Descriptive statistics

Standard deviation173.97244
Coefficient of variation (CV)1.3294177
Kurtosis10.837942
Mean130.86364
Median Absolute Deviation (MAD)50
Skewness3.1036347
Sum2879
Variance30266.409
MonotonicityNot monotonic
2023-12-11T06:03:53.744506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
100 6
27.3%
20 2
 
9.1%
15 2
 
9.1%
60 2
 
9.1%
150 1
 
4.5%
400 1
 
4.5%
35 1
 
4.5%
74 1
 
4.5%
250 1
 
4.5%
90 1
 
4.5%
Other values (4) 4
18.2%
ValueCountFrequency (%)
15 2
 
9.1%
20 2
 
9.1%
35 1
 
4.5%
40 1
 
4.5%
50 1
 
4.5%
60 2
 
9.1%
74 1
 
4.5%
90 1
 
4.5%
100 6
27.3%
150 1
 
4.5%
ValueCountFrequency (%)
800 1
 
4.5%
400 1
 
4.5%
250 1
 
4.5%
200 1
 
4.5%
150 1
 
4.5%
100 6
27.3%
90 1
 
4.5%
74 1
 
4.5%
60 2
 
9.1%
50 1
 
4.5%

비고사항
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing19
Missing (%)86.4%
Memory size308.0 B
2023-12-11T06:03:53.988116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length28
Mean length25.333333
Min length8

Characters and Unicode

Total characters76
Distinct characters26
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

Unique3 ?
Unique (%)100.0%

Sample

1st row안산시, 안양시, 광명시, 군포시, 의왕시, 과천시
2nd row양주시, 의정부시, 파주시, 김포시, 구리시, 포천시, 동두천시, 연천군
3rd row여주시, 이천시
ValueCountFrequency (%)
안산시 1
 
6.2%
안양시 1
 
6.2%
광명시 1
 
6.2%
군포시 1
 
6.2%
의왕시 1
 
6.2%
과천시 1
 
6.2%
양주시 1
 
6.2%
의정부시 1
 
6.2%
파주시 1
 
6.2%
김포시 1
 
6.2%
Other values (6) 6
37.5%
2023-12-11T06:03:54.352735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 15
19.7%
, 13
17.1%
13
17.1%
천 5
 
6.6%
주 3
 
3.9%
포 3
 
3.9%
군 2
 
2.6%
의 2
 
2.6%
안 2
 
2.6%
양 2
 
2.6%
Other values (16) 16
21.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 50
65.8%
Other Punctuation 13
 
17.1%
Space Separator 13
 
17.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 15
30.0%
천 5
 
10.0%
주 3
 
6.0%
포 3
 
6.0%
군 2
 
4.0%
의 2
 
4.0%
안 2
 
4.0%
양 2
 
4.0%
명 1
 
2.0%
김 1
 
2.0%
Other values (14) 14
28.0%
Other Punctuation
ValueCountFrequency (%)
, 13
100.0%
Space Separator
ValueCountFrequency (%)
13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 50
65.8%
Common 26
34.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 15
30.0%
천 5
 
10.0%
주 3
 
6.0%
포 3
 
6.0%
군 2
 
4.0%
의 2
 
4.0%
안 2
 
4.0%
양 2
 
4.0%
명 1
 
2.0%
김 1
 
2.0%
Other values (14) 14
28.0%
Common
ValueCountFrequency (%)
, 13
50.0%
13
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 50
65.8%
ASCII 26
34.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 15
30.0%
천 5
 
10.0%
주 3
 
6.0%
포 3
 
6.0%
군 2
 
4.0%
의 2
 
4.0%
안 2
 
4.0%
양 2
 
4.0%
명 1
 
2.0%
김 1
 
2.0%
Other values (14) 14
28.0%
ASCII
ValueCountFrequency (%)
, 13
50.0%
13
50.0%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14570.545
Minimum10563
Maximum18254
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-11T06:03:54.510790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10563
5-th percentile11450.85
Q112665.75
median14605
Q316249.75
95-th percentile18108.75
Maximum18254
Range7691
Interquartile range (IQR)3584

Descriptive statistics

Standard deviation2264.0913
Coefficient of variation (CV)0.15538823
Kurtosis-0.97733634
Mean14570.545
Median Absolute Deviation (MAD)1935
Skewness0.14757084
Sum320552
Variance5126109.5
MonotonicityNot monotonic
2023-12-11T06:03:54.678400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
12408 1
 
4.5%
15466 1
 
4.5%
18254 1
 
4.5%
12978 1
 
4.5%
17705 1
 
4.5%
17090 1
 
4.5%
18130 1
 
4.5%
12641 1
 
4.5%
12547 1
 
4.5%
11409 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
10563 1
4.5%
11409 1
4.5%
12246 1
4.5%
12408 1
4.5%
12547 1
4.5%
12641 1
4.5%
12740 1
4.5%
12978 1
4.5%
13601 1
4.5%
14427 1
4.5%
ValueCountFrequency (%)
18254 1
4.5%
18130 1
4.5%
17705 1
4.5%
17590 1
4.5%
17090 1
4.5%
16511 1
4.5%
15466 1
4.5%
15301 1
4.5%
15007 1
4.5%
14728 1
4.5%

소재지지번주소
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-11T06:03:55.022157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length20.727273
Min length17

Characters and Unicode

Total characters456
Distinct characters79
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row경기도 가평군 가평읍 승안리 100번지
2nd row경기도 고양시 덕양구 원흥동 471-10번지
3rd row경기도 광주시 송정동 6-9번지
4th row경기도 남양주시 이패동 484번지
5th row경기도 부천시 송내동 393-1번지
ValueCountFrequency (%)
경기도 22
 
22.0%
부천시 4
 
4.0%
안산시 2
 
2.0%
410-1번지 1
 
1.0%
세종대왕면 1
 
1.0%
여주시 1
 
1.0%
1-1번지 1
 
1.0%
공흥리 1
 
1.0%
양평읍 1
 
1.0%
양평군 1
 
1.0%
Other values (65) 65
65.0%
2023-12-11T06:03:55.560266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
78
 
17.1%
지 23
 
5.0%
경 22
 
4.8%
번 22
 
4.8%
도 22
 
4.8%
기 22
 
4.8%
시 21
 
4.6%
- 18
 
3.9%
1 17
 
3.7%
동 16
 
3.5%
Other values (69) 195
42.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 279
61.2%
Decimal Number 81
 
17.8%
Space Separator 78
 
17.1%
Dash Punctuation 18
 
3.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 23
 
8.2%
경 22
 
7.9%
번 22
 
7.9%
도 22
 
7.9%
기 22
 
7.9%
시 21
 
7.5%
동 16
 
5.7%
양 8
 
2.9%
리 6
 
2.2%
구 6
 
2.2%
Other values (57) 111
39.8%
Decimal Number
ValueCountFrequency (%)
1 17
21.0%
4 11
13.6%
2 9
11.1%
3 9
11.1%
0 9
11.1%
5 6
 
7.4%
7 6
 
7.4%
6 6
 
7.4%
8 4
 
4.9%
9 4
 
4.9%
Space Separator
ValueCountFrequency (%)
78
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 279
61.2%
Common 177
38.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 23
 
8.2%
경 22
 
7.9%
번 22
 
7.9%
도 22
 
7.9%
기 22
 
7.9%
시 21
 
7.5%
동 16
 
5.7%
양 8
 
2.9%
리 6
 
2.2%
구 6
 
2.2%
Other values (57) 111
39.8%
Common
ValueCountFrequency (%)
78
44.1%
- 18
 
10.2%
1 17
 
9.6%
4 11
 
6.2%
2 9
 
5.1%
3 9
 
5.1%
0 9
 
5.1%
5 6
 
3.4%
7 6
 
3.4%
6 6
 
3.4%
Other values (2) 8
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 279
61.2%
ASCII 177
38.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
78
44.1%
- 18
 
10.2%
1 17
 
9.6%
4 11
 
6.2%
2 9
 
5.1%
3 9
 
5.1%
0 9
 
5.1%
5 6
 
3.4%
7 6
 
3.4%
6 6
 
3.4%
Other values (2) 8
 
4.5%
Hangul
ValueCountFrequency (%)
지 23
 
8.2%
경 22
 
7.9%
번 22
 
7.9%
도 22
 
7.9%
기 22
 
7.9%
시 21
 
7.5%
동 16
 
5.7%
양 8
 
2.9%
리 6
 
2.2%
구 6
 
2.2%
Other values (57) 111
39.8%

소재지도로명주소
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-11T06:03:55.869234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length18.727273
Min length14

Characters and Unicode

Total characters412
Distinct characters94
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row경기도 가평군 가평읍 아랫마장길 59
2nd row경기도 고양시 덕양구 고양대로 1695
3rd row경기도 광주시 경안천로 144
4th row경기도 남양주시 경강로163번길 32-27
5th row경기도 부천시 경인로 72
ValueCountFrequency (%)
경기도 22
 
22.0%
부천시 4
 
4.0%
안산시 2
 
2.0%
59 2
 
2.0%
63-37 1
 
1.0%
능서공원길 1
 
1.0%
세종대왕면 1
 
1.0%
여주시 1
 
1.0%
농업기술센터길 1
 
1.0%
양평읍 1
 
1.0%
Other values (64) 64
64.0%
2023-12-11T06:03:56.330989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
78
18.9%
경 25
 
6.1%
기 23
 
5.6%
도 22
 
5.3%
시 21
 
5.1%
로 16
 
3.9%
3 10
 
2.4%
1 10
 
2.4%
6 9
 
2.2%
양 9
 
2.2%
Other values (84) 189
45.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 256
62.1%
Space Separator 78
 
18.9%
Decimal Number 72
 
17.5%
Dash Punctuation 6
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 25
 
9.8%
기 23
 
9.0%
도 22
 
8.6%
시 21
 
8.2%
로 16
 
6.2%
양 9
 
3.5%
길 7
 
2.7%
부 6
 
2.3%
구 6
 
2.3%
평 6
 
2.3%
Other values (72) 115
44.9%
Decimal Number
ValueCountFrequency (%)
3 10
13.9%
1 10
13.9%
6 9
12.5%
2 9
12.5%
4 8
11.1%
7 8
11.1%
9 5
6.9%
8 5
6.9%
0 4
 
5.6%
5 4
 
5.6%
Space Separator
ValueCountFrequency (%)
78
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 256
62.1%
Common 156
37.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 25
 
9.8%
기 23
 
9.0%
도 22
 
8.6%
시 21
 
8.2%
로 16
 
6.2%
양 9
 
3.5%
길 7
 
2.7%
부 6
 
2.3%
구 6
 
2.3%
평 6
 
2.3%
Other values (72) 115
44.9%
Common
ValueCountFrequency (%)
78
50.0%
3 10
 
6.4%
1 10
 
6.4%
6 9
 
5.8%
2 9
 
5.8%
4 8
 
5.1%
7 8
 
5.1%
- 6
 
3.8%
9 5
 
3.2%
8 5
 
3.2%
Other values (2) 8
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 256
62.1%
ASCII 156
37.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
78
50.0%
3 10
 
6.4%
1 10
 
6.4%
6 9
 
5.8%
2 9
 
5.8%
4 8
 
5.1%
7 8
 
5.1%
- 6
 
3.8%
9 5
 
3.2%
8 5
 
3.2%
Other values (2) 8
 
5.1%
Hangul
ValueCountFrequency (%)
경 25
 
9.8%
기 23
 
9.0%
도 22
 
8.6%
시 21
 
8.2%
로 16
 
6.2%
양 9
 
3.5%
길 7
 
2.7%
부 6
 
2.3%
구 6
 
2.3%
평 6
 
2.3%
Other values (72) 115
44.9%

WGS84위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.416899
Minimum37.006583
Maximum37.870053
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-11T06:03:56.524004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.006583
5-th percentile37.131551
Q137.288146
median37.395757
Q337.521942
95-th percentile37.836137
Maximum37.870053
Range0.8634702
Interquartile range (IQR)0.23379646

Descriptive statistics

Standard deviation0.21535622
Coefficient of variation (CV)0.005755587
Kurtosis0.17413766
Mean37.416899
Median Absolute Deviation (MAD)0.12247027
Skewness0.35155365
Sum823.17178
Variance0.046378301
MonotonicityNot monotonic
2023-12-11T06:03:56.673293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
37.8459543 1
 
4.5%
37.3135805 1
 
4.5%
37.22494992 1
 
4.5%
37.5371145 1
 
4.5%
37.13063033 1
 
4.5%
37.243299 1
 
4.5%
37.149051 1
 
4.5%
37.297553 1
 
4.5%
37.51079775 1
 
4.5%
37.8700531 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
37.0065829 1
4.5%
37.13063033 1
4.5%
37.149051 1
4.5%
37.22494992 1
4.5%
37.243299 1
4.5%
37.28501037 1
4.5%
37.297553 1
4.5%
37.3135805 1
4.5%
37.3401156 1
4.5%
37.3670017 1
4.5%
ValueCountFrequency (%)
37.8700531 1
4.5%
37.8459543 1
4.5%
37.6496069 1
4.5%
37.6089046 1
4.5%
37.5371145 1
4.5%
37.5256574 1
4.5%
37.51079775 1
4.5%
37.50029663 1
4.5%
37.49060016 1
4.5%
37.48350736 1
4.5%

WGS84경도
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.05882
Minimum126.74279
Maximum127.57563
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-11T06:03:56.809378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.74279
5-th percentile126.76377
Q1126.83842
median127.06029
Q3127.20097
95-th percentile127.51354
Maximum127.57563
Range0.8328403
Interquartile range (IQR)0.36255323

Descriptive statistics

Standard deviation0.25788909
Coefficient of variation (CV)0.0020296827
Kurtosis-0.63794271
Mean127.05882
Median Absolute Deviation (MAD)0.21475595
Skewness0.58817787
Sum2795.294
Variance0.066506785
MonotonicityNot monotonic
2023-12-11T06:03:56.951733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
127.4991358 1
 
4.5%
126.8367508 1
 
4.5%
126.8434243 1
 
4.5%
127.204029 1
 
4.5%
127.0554225 1
 
4.5%
127.1591338 1
 
4.5%
127.065149 1
 
4.5%
127.5756334 1
 
4.5%
127.5142953 1
 
4.5%
126.9831861 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
126.7427931 1
4.5%
126.7631747 1
4.5%
126.7751273 1
4.5%
126.7838949 1
4.5%
126.8045482 1
4.5%
126.8367508 1
4.5%
126.8434243 1
4.5%
126.8700487 1
4.5%
126.870066 1
4.5%
126.9831861 1
4.5%
ValueCountFrequency (%)
127.5756334 1
4.5%
127.5142953 1
4.5%
127.4991358 1
4.5%
127.2752964 1
4.5%
127.274787 1
4.5%
127.204029 1
4.5%
127.1918026 1
4.5%
127.1591338 1
4.5%
127.1276345 1
4.5%
127.0786968 1
4.5%

Interactions

2023-12-11T06:03:49.483669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:03:48.379532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:03:48.737782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:03:49.124506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:03:49.574693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:03:48.469339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:03:48.854522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:03:49.227468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:03:49.662759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:03:48.561568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:03:48.957586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:03:49.318677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:03:49.797526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:03:48.652914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:03:49.039754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:03:49.393884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T06:03:57.076871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명업체명업체전화번호대표자명계약기간수용능력수비고사항소재지우편번호소재지지번주소소재지도로명주소WGS84위도WGS84경도
시군명1.0001.0001.0001.0001.0000.9381.0001.0001.0001.0000.9941.000
업체명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
업체전화번호1.0001.0001.0001.0001.0000.7521.0001.0001.0001.0001.0001.000
대표자명1.0001.0001.0001.0001.0001.0000.0001.0001.0001.0001.0001.000
계약기간1.0001.0001.0001.0001.0000.665NaN0.0001.0001.0000.0000.700
수용능력수0.9381.0000.7521.0000.6651.0001.0000.7431.0001.0000.3120.663
비고사항1.0001.0001.0000.000NaN1.0001.0001.0001.0001.0001.0001.000
소재지우편번호1.0001.0001.0001.0000.0000.7431.0001.0001.0001.0000.7520.949
소재지지번주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
WGS84위도0.9941.0001.0001.0000.0000.3121.0000.7521.0001.0001.0000.769
WGS84경도1.0001.0001.0001.0000.7000.6631.0000.9491.0001.0000.7691.000
2023-12-11T06:03:57.268308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수용능력수소재지우편번호WGS84위도WGS84경도계약기간
수용능력수1.000-0.2280.0360.3200.574
소재지우편번호-0.2281.000-0.874-0.3100.000
WGS84위도0.036-0.8741.000-0.0240.000
WGS84경도0.320-0.310-0.0241.0000.307
계약기간0.5740.0000.0000.3071.000

Missing values

2023-12-11T06:03:49.920007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:03:50.152647image/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.
2023-12-11T06:03:50.272218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

집계년도시군명업체명업체전화번호대표자명계약기간수용능력수비고사항소재지우편번호소재지지번주소소재지도로명주소WGS84위도WGS84경도
02023가평군가평군동물보호센터031-580-4763가평군수직영100<NA>12408경기도 가평군 가평읍 승안리 100번지경기도 가평군 가평읍 아랫마장길 5937.845954127.499136
12023고양시고양시동물보호센터031-962-3232고양시장직영150<NA>10563경기도 고양시 덕양구 원흥동 471-10번지경기도 고양시 덕양구 고양대로 169537.649607126.870066
22023광주시광주TNR동물병원031-798-7581성준우20250228400<NA>12740경기도 광주시 송정동 6-9번지경기도 광주시 경안천로 14437.417461127.275296
32023남양주시남양주동물보호센터031-590-2785<NA>20221231100<NA>12246경기도 남양주시 이패동 484번지경기도 남양주시 경강로163번길 32-2737.608905127.191803
42023부천시가나동물병원<NA>최화락2023123120<NA>14728경기도 부천시 송내동 393-1번지경기도 부천시 경인로 7237.483507126.763175
52023부천시CJ동물병원<NA>정종수2023123115<NA>14580경기도 부천시 중동 1134번지경기도 부천시 소향로 24637.500297126.775127
62023부천시가야동물병원<NA>백희원2023123115<NA>14630경기도 부천시 심곡동 367-12번지경기도 부천시 부천로 6937.4906126.783895
72023부천시24시아이동물메디컬032-677-5262박수현2023123135<NA>14427경기도 부천시 원종동 229-8번지경기도 부천시 소사로 77937.525657126.804548
82023성남시펫앤쉘터동물병원031-714-8391한준근2023123174<NA>13601경기도 성남시 분당구 수내동 87-1번지경기도 성남시 분당구 불정로 26637.367002127.127634
92023수원시수원시동물보호센터031-228-3557수원시장직영100<NA>16511경기도 수원시 영통구 하동 40-10번지경기도 수원시 영통구 광교호수로 23437.28501127.078697
집계년도시군명업체명업체전화번호대표자명계약기간수용능력수비고사항소재지우편번호소재지지번주소소재지도로명주소WGS84위도WGS84경도
122023안산시스타동물병원031-296-0124오세운2023123160<NA>15466경기도 안산시 단원구 고잔동 730-3번지경기도 안산시 단원구 한양대학로 20837.313581126.836751
132023안성시이성준동물병원031-673-5858이성준2023123190<NA>17590경기도 안성시 봉남동 326-2번지경기도 안성시 중앙로 431-137.006583127.274787
142023양주시(사)한국동물구조관리협회031-867-0119김철훈20231231800양주시, 의정부시, 파주시, 김포시, 구리시, 포천시, 동두천시, 연천군11409경기도 양주시 남면 상수리 410-1번지경기도 양주시 남면 감악산로 63-3737.870053126.983186
152023양평군양평군품유기동물보호센터031-770-2337양평군수직영60<NA>12547경기도 양평군 양평읍 공흥리 1-1번지경기도 양평군 양평읍 농업기술센터길 5937.510798127.514295
162023여주시위더스동물메디컬센터 부설동물보호센터031-882-4381<NA>20231231100여주시, 이천시12641경기도 여주시 세종대왕면 신지리 764-4번지경기도 여주시 세종대왕면 능서공원길 3437.297553127.575633
172023오산시오산시 수의사회031-374-4644박철진2023123140<NA>18130경기도 오산시 오산동 609-55번지경기도 오산시 성호대로 3637.149051127.065149
182023용인시용인시동물보호센터031-324-3463용인시장직영200<NA>17090경기도 용인시 처인구 삼가동 164번지경기도 용인시 처인구 중부대로 1074-137.243299127.159134
192023평택시평택시 동물보호센터031-8024-3849최박일2023123150<NA>17705경기도 평택시 진위면 야막리 85-4번지경기도 평택시 진위면 야막길 108-8637.13063127.055423
202023하남시하남동물병원031-793-7802이상인2023123120<NA>12978경기도 하남시 덕풍동 420-35번지경기도 하남시 신평로 3737.537115127.204029
212023화성시남양동물보호센터031-356-2281차현희20231231100<NA>18254경기도 화성시 남양읍 북양리 12-2번지경기도 화성시 남양읍 화성로 1483-2737.22495126.843424