Overview

Dataset statistics

Number of variables12
Number of observations358
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory34.7 KiB
Average record size in memory99.4 B

Variable types

Numeric3
Categorical1
Text6
DateTime2

Dataset

Description경상남도에 소재하고 있는 동물병원과 동물치료센터의 등록정보 현황을 제공합니다.- 제공항목은 기관명, 기관소재재, 기관연락처, 근무의사수, 기관의 면적, 기관의 등록일, 기관의 관리기관* 기타유의사항 : 일반병원연락처가 없는 경우의 연락처 항목의 데이터 제공 불가
Author경상남도
URLhttps://www.data.go.kr/data/15127256/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
순번 is highly overall correlated with 관리기관High correlation
관리기관 is highly overall correlated with 순번High correlation
순번 has unique valuesUnique
근로수의사수 has 16 (4.5%) zerosZeros
면적 has 162 (45.3%) zerosZeros

Reproduction

Analysis started2024-03-23 05:51:10.588409
Analysis finished2024-03-23 05:51:12.841400
Duration2.25 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct358
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean179.5
Minimum1
Maximum358
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-23T14:51:12.950117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile18.85
Q190.25
median179.5
Q3268.75
95-th percentile340.15
Maximum358
Range357
Interquartile range (IQR)178.5

Descriptive statistics

Standard deviation103.48994
Coefficient of variation (CV)0.5765456
Kurtosis-1.2
Mean179.5
Median Absolute Deviation (MAD)89.5
Skewness0
Sum64261
Variance10710.167
MonotonicityStrictly increasing
2024-03-23T14:51:13.140081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
226 1
 
0.3%
246 1
 
0.3%
245 1
 
0.3%
244 1
 
0.3%
243 1
 
0.3%
242 1
 
0.3%
241 1
 
0.3%
240 1
 
0.3%
239 1
 
0.3%
Other values (348) 348
97.2%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
358 1
0.3%
357 1
0.3%
356 1
0.3%
355 1
0.3%
354 1
0.3%
353 1
0.3%
352 1
0.3%
351 1
0.3%
350 1
0.3%
349 1
0.3%

관리기관
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
창원시
82 
김해시
48 
진주시
39 
양산시
26 
사천시
19 
Other values (13)
144 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
창원시 82
22.9%
김해시 48
13.4%
진주시 39
10.9%
양산시 26
 
7.3%
사천시 19
 
5.3%
합천군 18
 
5.0%
창녕군 16
 
4.5%
통영시 15
 
4.2%
거창군 14
 
3.9%
거제시 14
 
3.9%
Other values (8) 67
18.7%

Length

2024-03-23T14:51:13.345948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
창원시 82
22.9%
김해시 48
13.4%
진주시 39
10.9%
양산시 26
 
7.3%
사천시 19
 
5.3%
합천군 18
 
5.0%
창녕군 16
 
4.5%
통영시 15
 
4.2%
거제시 14
 
3.9%
거창군 14
 
3.9%
Other values (8) 67
18.7%

등록번호
Text

Distinct155
Distinct (%)43.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-03-23T14:51:13.613771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters3222
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

Unique85 ?
Unique (%)23.7%

Sample

1st row2005-0003
2nd row2010-0001
3rd row2015-0010
4th row2014-0001
5th row1988-1002
ValueCountFrequency (%)
2023-0001 14
 
3.9%
2016-0001 10
 
2.8%
2022-0001 9
 
2.5%
2003-0001 8
 
2.2%
2008-0001 8
 
2.2%
2017-0001 7
 
2.0%
2019-0001 7
 
2.0%
2020-0001 7
 
2.0%
2011-0001 6
 
1.7%
2019-0002 6
 
1.7%
Other values (145) 276
77.1%
2024-03-23T14:51:14.143006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1461
45.3%
2 498
 
15.5%
1 434
 
13.5%
- 358
 
11.1%
9 151
 
4.7%
3 97
 
3.0%
4 54
 
1.7%
6 49
 
1.5%
7 46
 
1.4%
8 37
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2864
88.9%
Dash Punctuation 358
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1461
51.0%
2 498
 
17.4%
1 434
 
15.2%
9 151
 
5.3%
3 97
 
3.4%
4 54
 
1.9%
6 49
 
1.7%
7 46
 
1.6%
8 37
 
1.3%
5 37
 
1.3%
Dash Punctuation
ValueCountFrequency (%)
- 358
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3222
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1461
45.3%
2 498
 
15.5%
1 434
 
13.5%
- 358
 
11.1%
9 151
 
4.7%
3 97
 
3.0%
4 54
 
1.7%
6 49
 
1.5%
7 46
 
1.4%
8 37
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3222
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1461
45.3%
2 498
 
15.5%
1 434
 
13.5%
- 358
 
11.1%
9 151
 
4.7%
3 97
 
3.0%
4 54
 
1.7%
6 49
 
1.5%
7 46
 
1.4%
8 37
 
1.1%

업체명
Text

Distinct332
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-03-23T14:51:14.448912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length24
Mean length7.8128492
Min length3

Characters and Unicode

Total characters2797
Distinct characters295
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique315 ?
Unique (%)88.0%

Sample

1st row경남유우동물병원
2nd row미래펫 동물병원
3rd row노블동물병원
4th row마리동물병원
5th row창생동물병원
ValueCountFrequency (%)
동물병원 46
 
10.4%
우리동물병원 5
 
1.1%
서울동물병원 5
 
1.1%
현대동물병원 4
 
0.9%
종합동물병원 3
 
0.7%
동물메디컬 3
 
0.7%
율하 3
 
0.7%
동물의료센터 3
 
0.7%
24시 3
 
0.7%
경상동물병원 3
 
0.7%
Other values (348) 366
82.4%
2024-03-23T14:51:15.027055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 349
 
12.5%
원 341
 
12.2%
물 337
 
12.0%
병 327
 
11.7%
86
 
3.1%
축 40
 
1.4%
터 39
 
1.4%
센 39
 
1.4%
료 38
 
1.4%
가 35
 
1.3%
Other values (285) 1166
41.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2625
93.9%
Space Separator 86
 
3.1%
Uppercase Letter 23
 
0.8%
Close Punctuation 19
 
0.7%
Open Punctuation 19
 
0.7%
Lowercase Letter 12
 
0.4%
Other Punctuation 6
 
0.2%
Decimal Number 6
 
0.2%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 349
 
13.3%
원 341
 
13.0%
물 337
 
12.8%
병 327
 
12.5%
축 40
 
1.5%
터 39
 
1.5%
센 39
 
1.5%
료 38
 
1.4%
가 35
 
1.3%
진 29
 
1.1%
Other values (253) 1051
40.0%
Uppercase Letter
ValueCountFrequency (%)
T 4
17.4%
R 2
 
8.7%
M 2
 
8.7%
C 2
 
8.7%
K 2
 
8.7%
I 2
 
8.7%
J 1
 
4.3%
F 1
 
4.3%
O 1
 
4.3%
S 1
 
4.3%
Other values (5) 5
21.7%
Lowercase Letter
ValueCountFrequency (%)
e 3
25.0%
t 2
16.7%
l 2
16.7%
g 1
 
8.3%
o 1
 
8.3%
h 1
 
8.3%
f 1
 
8.3%
n 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
& 3
50.0%
; 2
33.3%
. 1
 
16.7%
Decimal Number
ValueCountFrequency (%)
2 3
50.0%
4 3
50.0%
Space Separator
ValueCountFrequency (%)
86
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2623
93.8%
Common 137
 
4.9%
Latin 35
 
1.3%
Han 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 349
 
13.3%
원 341
 
13.0%
물 337
 
12.8%
병 327
 
12.5%
축 40
 
1.5%
터 39
 
1.5%
센 39
 
1.5%
료 38
 
1.4%
가 35
 
1.3%
진 29
 
1.1%
Other values (251) 1049
40.0%
Latin
ValueCountFrequency (%)
T 4
 
11.4%
e 3
 
8.6%
t 2
 
5.7%
R 2
 
5.7%
M 2
 
5.7%
C 2
 
5.7%
l 2
 
5.7%
K 2
 
5.7%
I 2
 
5.7%
J 1
 
2.9%
Other values (13) 13
37.1%
Common
ValueCountFrequency (%)
86
62.8%
) 19
 
13.9%
( 19
 
13.9%
& 3
 
2.2%
2 3
 
2.2%
4 3
 
2.2%
; 2
 
1.5%
- 1
 
0.7%
. 1
 
0.7%
Han
ValueCountFrequency (%)
農 1
50.0%
和 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2623
93.8%
ASCII 172
 
6.1%
CJK 2
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 349
 
13.3%
원 341
 
13.0%
물 337
 
12.8%
병 327
 
12.5%
축 40
 
1.5%
터 39
 
1.5%
센 39
 
1.5%
료 38
 
1.4%
가 35
 
1.3%
진 29
 
1.1%
Other values (251) 1049
40.0%
ASCII
ValueCountFrequency (%)
86
50.0%
) 19
 
11.0%
( 19
 
11.0%
T 4
 
2.3%
& 3
 
1.7%
2 3
 
1.7%
4 3
 
1.7%
e 3
 
1.7%
; 2
 
1.2%
t 2
 
1.2%
Other values (22) 28
 
16.3%
CJK
ValueCountFrequency (%)
農 1
50.0%
和 1
50.0%

번지주소
Text

Distinct352
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-03-23T14:51:15.425705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length41
Mean length27.731844
Min length16

Characters and Unicode

Total characters9928
Distinct characters268
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique346 ?
Unique (%)96.6%

Sample

1st row경상남도 창원시 의창구 동읍 용잠리 396번지 1호
2nd row경상남도 창원시 성산구 반림동 17번지 2호 반송빌딩 103호
3rd row경상남도 창원시 성산구 반림동 15번지
4th row경상남도 창원시 마산회원구 내서읍 삼계리 26번지 4호 201호
5th row경상남도 창원시 마산회원구 석전동 265번지 57호
ValueCountFrequency (%)
경상남도 358
 
16.7%
창원시 82
 
3.8%
김해시 47
 
2.2%
2호 40
 
1.9%
진주시 39
 
1.8%
3호 38
 
1.8%
1호 38
 
1.8%
4호 26
 
1.2%
양산시 26
 
1.2%
성산구 25
 
1.2%
Other values (766) 1431
66.6%
2024-03-23T14:51:16.384919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2391
24.1%
남 397
 
4.0%
상 395
 
4.0%
도 368
 
3.7%
경 360
 
3.6%
1 359
 
3.6%
지 356
 
3.6%
번 343
 
3.5%
호 343
 
3.5%
시 259
 
2.6%
Other values (258) 4357
43.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5898
59.4%
Space Separator 2391
24.1%
Decimal Number 1618
 
16.3%
Dash Punctuation 10
 
0.1%
Uppercase Letter 5
 
0.1%
Other Punctuation 4
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 397
 
6.7%
상 395
 
6.7%
도 368
 
6.2%
경 360
 
6.1%
지 356
 
6.0%
번 343
 
5.8%
호 343
 
5.8%
시 259
 
4.4%
동 237
 
4.0%
리 173
 
2.9%
Other values (240) 2667
45.2%
Decimal Number
ValueCountFrequency (%)
1 359
22.2%
2 221
13.7%
3 182
11.2%
4 151
9.3%
5 147
9.1%
0 141
 
8.7%
6 119
 
7.4%
7 104
 
6.4%
9 100
 
6.2%
8 94
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
K 2
40.0%
A 1
20.0%
T 1
20.0%
B 1
20.0%
Space Separator
ValueCountFrequency (%)
2391
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5898
59.4%
Common 4025
40.5%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 397
 
6.7%
상 395
 
6.7%
도 368
 
6.2%
경 360
 
6.1%
지 356
 
6.0%
번 343
 
5.8%
호 343
 
5.8%
시 259
 
4.4%
동 237
 
4.0%
리 173
 
2.9%
Other values (240) 2667
45.2%
Common
ValueCountFrequency (%)
2391
59.4%
1 359
 
8.9%
2 221
 
5.5%
3 182
 
4.5%
4 151
 
3.8%
5 147
 
3.7%
0 141
 
3.5%
6 119
 
3.0%
7 104
 
2.6%
9 100
 
2.5%
Other values (4) 110
 
2.7%
Latin
ValueCountFrequency (%)
K 2
40.0%
A 1
20.0%
T 1
20.0%
B 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5898
59.4%
ASCII 4030
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2391
59.3%
1 359
 
8.9%
2 221
 
5.5%
3 182
 
4.5%
4 151
 
3.7%
5 147
 
3.6%
0 141
 
3.5%
6 119
 
3.0%
7 104
 
2.6%
9 100
 
2.5%
Other values (8) 115
 
2.9%
Hangul
ValueCountFrequency (%)
남 397
 
6.7%
상 395
 
6.7%
도 368
 
6.2%
경 360
 
6.1%
지 356
 
6.0%
번 343
 
5.8%
호 343
 
5.8%
시 259
 
4.4%
동 237
 
4.0%
리 173
 
2.9%
Other values (240) 2667
45.2%

도로명주소
Text

Distinct354
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-03-23T14:51:16.825408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length38
Mean length20.310056
Min length12

Characters and Unicode

Total characters7271
Distinct characters247
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique350 ?
Unique (%)97.8%

Sample

1st row경남 창원시 의창구 동읍 용잠로 30-6
2nd row경남 창원시 성산구 원이대로473번길 28
3rd row경남 창원시 성산구 원이대로473번길 9 노블파크주상가 2층 217
4th row경남 창원시 마산회원구 내서읍 삼계6길 12
5th row경남 창원시 마산회원구 3.15대로 593
ValueCountFrequency (%)
경남 350
 
18.9%
창원시 83
 
4.5%
김해시 47
 
2.5%
진주시 38
 
2.1%
1층 34
 
1.8%
2층 31
 
1.7%
양산시 26
 
1.4%
성산구 25
 
1.4%
사천시 19
 
1.0%
합천군 18
 
1.0%
Other values (669) 1180
63.7%
2024-03-23T14:51:17.592811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1493
20.5%
남 390
 
5.4%
경 362
 
5.0%
1 354
 
4.9%
로 309
 
4.2%
시 263
 
3.6%
2 212
 
2.9%
3 161
 
2.2%
창 159
 
2.2%
산 125
 
1.7%
Other values (237) 3443
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4284
58.9%
Space Separator 1493
 
20.5%
Decimal Number 1385
 
19.0%
Dash Punctuation 82
 
1.1%
Other Punctuation 22
 
0.3%
Uppercase Letter 3
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 390
 
9.1%
경 362
 
8.5%
로 309
 
7.2%
시 263
 
6.1%
창 159
 
3.7%
산 125
 
2.9%
원 118
 
2.8%
길 110
 
2.6%
군 106
 
2.5%
읍 95
 
2.2%
Other values (218) 2247
52.5%
Decimal Number
ValueCountFrequency (%)
1 354
25.6%
2 212
15.3%
3 161
11.6%
5 119
 
8.6%
4 113
 
8.2%
0 102
 
7.4%
6 101
 
7.3%
7 85
 
6.1%
8 70
 
5.1%
9 68
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
G 1
33.3%
A 1
33.3%
B 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 15
68.2%
. 7
31.8%
Space Separator
ValueCountFrequency (%)
1493
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 82
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4284
58.9%
Common 2984
41.0%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 390
 
9.1%
경 362
 
8.5%
로 309
 
7.2%
시 263
 
6.1%
창 159
 
3.7%
산 125
 
2.9%
원 118
 
2.8%
길 110
 
2.6%
군 106
 
2.5%
읍 95
 
2.2%
Other values (218) 2247
52.5%
Common
ValueCountFrequency (%)
1493
50.0%
1 354
 
11.9%
2 212
 
7.1%
3 161
 
5.4%
5 119
 
4.0%
4 113
 
3.8%
0 102
 
3.4%
6 101
 
3.4%
7 85
 
2.8%
- 82
 
2.7%
Other values (6) 162
 
5.4%
Latin
ValueCountFrequency (%)
G 1
33.3%
A 1
33.3%
B 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4284
58.9%
ASCII 2987
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1493
50.0%
1 354
 
11.9%
2 212
 
7.1%
3 161
 
5.4%
5 119
 
4.0%
4 113
 
3.8%
0 102
 
3.4%
6 101
 
3.4%
7 85
 
2.8%
- 82
 
2.7%
Other values (9) 165
 
5.5%
Hangul
ValueCountFrequency (%)
남 390
 
9.1%
경 362
 
8.5%
로 309
 
7.2%
시 263
 
6.1%
창 159
 
3.7%
산 125
 
2.9%
원 118
 
2.8%
길 110
 
2.6%
군 106
 
2.5%
읍 95
 
2.2%
Other values (218) 2247
52.5%

전화번호
Text

Distinct293
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-03-23T14:51:17.986614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length12
Mean length10.625698
Min length4

Characters and Unicode

Total characters3804
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique290 ?
Unique (%)81.0%

Sample

1st row055-262-7590
2nd row055-262-7590
3rd row055-266-7975
4th row055-232-2642
5th row055-299-0075
ValueCountFrequency (%)
055 64
 
17.8%
055-851-5860 2
 
0.6%
055-262-7590 2
 
0.6%
055-944-9976 1
 
0.3%
055-388-8275 1
 
0.3%
055-635-7682 1
 
0.3%
055-633-7582 1
 
0.3%
055-681-0093 1
 
0.3%
055-632-7582 1
 
0.3%
055-353-7588 1
 
0.3%
Other values (284) 284
79.1%
2024-03-23T14:51:18.658717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 1012
26.6%
- 651
17.1%
0 557
14.6%
7 277
 
7.3%
2 248
 
6.5%
3 247
 
6.5%
8 191
 
5.0%
4 170
 
4.5%
6 165
 
4.3%
1 153
 
4.0%
Other values (4) 133
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3150
82.8%
Dash Punctuation 651
 
17.1%
Close Punctuation 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1012
32.1%
0 557
17.7%
7 277
 
8.8%
2 248
 
7.9%
3 247
 
7.8%
8 191
 
6.1%
4 170
 
5.4%
6 165
 
5.2%
1 153
 
4.9%
9 130
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 651
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3804
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 1012
26.6%
- 651
17.1%
0 557
14.6%
7 277
 
7.3%
2 248
 
6.5%
3 247
 
6.5%
8 191
 
5.0%
4 170
 
4.5%
6 165
 
4.3%
1 153
 
4.0%
Other values (4) 133
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3804
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 1012
26.6%
- 651
17.1%
0 557
14.6%
7 277
 
7.3%
2 248
 
6.5%
3 247
 
6.5%
8 191
 
5.0%
4 170
 
4.5%
6 165
 
4.3%
1 153
 
4.0%
Other values (4) 133
 
3.5%

대표자명
Text

Distinct353
Distinct (%)98.9%
Missing1
Missing (%)0.3%
Memory size2.9 KiB
2024-03-23T14:51:19.123549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length3
Mean length3.32493
Min length1

Characters and Unicode

Total characters1187
Distinct characters187
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

Unique349 ?
Unique (%)97.8%

Sample

1st row곽창수
2nd row이동민
3rd row최얼
4th row정경화
5th row정기우
ValueCountFrequency (%)
김병훈 2
 
0.6%
사천축산업협동조합 2
 
0.6%
구영오 2
 
0.6%
문영철 2
 
0.6%
어용준 1
 
0.3%
반창범 1
 
0.3%
김병광 1
 
0.3%
안형모 1
 
0.3%
정경학 1
 
0.3%
권창현 1
 
0.3%
Other values (344) 344
96.1%
2024-03-23T14:51:19.866781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 66
 
5.6%
정 35
 
2.9%
이 35
 
2.9%
영 34
 
2.9%
동 32
 
2.7%
박 32
 
2.7%
현 29
 
2.4%
성 22
 
1.9%
조 22
 
1.9%
진 21
 
1.8%
Other values (177) 859
72.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1181
99.5%
Close Punctuation 2
 
0.2%
Open Punctuation 2
 
0.2%
Space Separator 1
 
0.1%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 66
 
5.6%
정 35
 
3.0%
이 35
 
3.0%
영 34
 
2.9%
동 32
 
2.7%
박 32
 
2.7%
현 29
 
2.5%
성 22
 
1.9%
조 22
 
1.9%
진 21
 
1.8%
Other values (173) 853
72.2%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1181
99.5%
Common 6
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 66
 
5.6%
정 35
 
3.0%
이 35
 
3.0%
영 34
 
2.9%
동 32
 
2.7%
박 32
 
2.7%
현 29
 
2.5%
성 22
 
1.9%
조 22
 
1.9%
진 21
 
1.8%
Other values (173) 853
72.2%
Common
ValueCountFrequency (%)
) 2
33.3%
( 2
33.3%
1
16.7%
1 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1181
99.5%
ASCII 6
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 66
 
5.6%
정 35
 
3.0%
이 35
 
3.0%
영 34
 
2.9%
동 32
 
2.7%
박 32
 
2.7%
현 29
 
2.5%
성 22
 
1.9%
조 22
 
1.9%
진 21
 
1.8%
Other values (173) 853
72.2%
ASCII
ValueCountFrequency (%)
) 2
33.3%
( 2
33.3%
1
16.7%
1 1
16.7%

신고일자
Date

Distinct339
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
Minimum1964-05-02 00:00:00
Maximum2024-02-26 00:00:00
2024-03-23T14:51:20.109662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:20.350379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

근로수의사수
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2625698
Minimum0
Maximum11
Zeros16
Zeros (%)4.5%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-23T14:51:20.532602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum11
Range11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.1218712
Coefficient of variation (CV)0.88856173
Kurtosis30.556502
Mean1.2625698
Median Absolute Deviation (MAD)0
Skewness4.938715
Sum452
Variance1.2585951
MonotonicityNot monotonic
2024-03-23T14:51:20.692576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 293
81.8%
2 29
 
8.1%
0 16
 
4.5%
3 6
 
1.7%
4 5
 
1.4%
5 3
 
0.8%
6 2
 
0.6%
8 2
 
0.6%
11 1
 
0.3%
9 1
 
0.3%
ValueCountFrequency (%)
0 16
 
4.5%
1 293
81.8%
2 29
 
8.1%
3 6
 
1.7%
4 5
 
1.4%
5 3
 
0.8%
6 2
 
0.6%
8 2
 
0.6%
9 1
 
0.3%
11 1
 
0.3%
ValueCountFrequency (%)
11 1
 
0.3%
9 1
 
0.3%
8 2
 
0.6%
6 2
 
0.6%
5 3
 
0.8%
4 5
 
1.4%
3 6
 
1.7%
2 29
 
8.1%
1 293
81.8%
0 16
 
4.5%

면적
Real number (ℝ)

ZEROS 

Distinct132
Distinct (%)36.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81.734637
Minimum0
Maximum4379
Zeros162
Zeros (%)45.3%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-23T14:51:20.953055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median26.5
Q392.75
95-th percentile260.2
Maximum4379
Range4379
Interquartile range (IQR)92.75

Descriptive statistics

Standard deviation284.27981
Coefficient of variation (CV)3.4780824
Kurtosis167.65253
Mean81.734637
Median Absolute Deviation (MAD)26.5
Skewness12.113882
Sum29261
Variance80815.008
MonotonicityNot monotonic
2024-03-23T14:51:21.286598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 162
45.3%
63 5
 
1.4%
88 5
 
1.4%
30 5
 
1.4%
90 3
 
0.8%
60 3
 
0.8%
39 3
 
0.8%
40 3
 
0.8%
97 3
 
0.8%
50 3
 
0.8%
Other values (122) 163
45.5%
ValueCountFrequency (%)
0 162
45.3%
9 1
 
0.3%
10 1
 
0.3%
12 1
 
0.3%
13 2
 
0.6%
14 1
 
0.3%
16 2
 
0.6%
18 1
 
0.3%
19 2
 
0.6%
21 1
 
0.3%
ValueCountFrequency (%)
4379 1
0.3%
2740 1
0.3%
774 1
0.3%
530 1
0.3%
490 1
0.3%
454 1
0.3%
433 1
0.3%
324 1
0.3%
322 1
0.3%
319 1
0.3%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
Minimum2024-03-18 00:00:00
Maximum2024-03-18 00:00:00
2024-03-23T14:51:21.497638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:21.741251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-23T14:51:12.113186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:11.391849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:11.791234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:12.224395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:11.542589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:11.903036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:12.340616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:11.687503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:12.016707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T14:51:21.893005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번관리기관근로수의사수면적
순번1.0000.9540.1630.137
관리기관0.9541.0000.0000.187
근로수의사수0.1630.0001.0000.746
면적0.1370.1870.7461.000
2024-03-23T14:51:22.058028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번근로수의사수면적관리기관
순번1.000-0.1490.0310.782
근로수의사수-0.1491.0000.1280.000
면적0.0310.1281.0000.100
관리기관0.7820.0000.1001.000

Missing values

2024-03-23T14:51:12.517141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T14:51:12.759207image/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

순번관리기관등록번호업체명번지주소도로명주소전화번호대표자명신고일자근로수의사수면적데이터기준일자
01창원시2005-0003경남유우동물병원경상남도 창원시 의창구 동읍 용잠리 396번지 1호경남 창원시 의창구 동읍 용잠로 30-6055-262-7590곽창수2005-04-14102024-03-18
12창원시2010-0001미래펫 동물병원경상남도 창원시 성산구 반림동 17번지 2호 반송빌딩 103호경남 창원시 성산구 원이대로473번길 28055-262-7590이동민2010-02-121502024-03-18
23창원시2015-0010노블동물병원경상남도 창원시 성산구 반림동 15번지경남 창원시 성산구 원이대로473번길 9 노블파크주상가 2층 217055-266-7975최얼2015-12-041972024-03-18
34창원시2014-0001마리동물병원경상남도 창원시 마산회원구 내서읍 삼계리 26번지 4호 201호경남 창원시 마산회원구 내서읍 삼계6길 12055-232-2642정경화2014-04-03202024-03-18
45창원시1988-1002창생동물병원경상남도 창원시 마산회원구 석전동 265번지 57호경남 창원시 마산회원구 3.15대로 593055-299-0075정기우1988-09-02202024-03-18
56창원시2009-0001중앙동물병원경상남도 창원시 성산구 중앙동 95번지 1호 하이페르상가 105호경남 창원시 성산구 용지로 96 하이페르상가055-263-8275이종남2009-01-221492024-03-18
67창원시1997-1001회원동물메디컬센터경상남도 창원시 마산회원구 회원동 403-3경남 창원시 마산회원구 북성로 125055-247-4819이승찬1997-02-2822842024-03-18
78창원시2009-0002온누리 동물의료센터경상남도 창원시 성산구 상남동 2번지 7호 금탑빌딩 1층경남 창원시 성산구 원이대로 676 금탑빌딩 1층055-274-7525김종만2009-02-1722192024-03-18
89창원시2015-0009감계동물병원경상남도 창원시 의창구 북면 감계리 236번지 5호경남 창원시 의창구 북면 감계로110번길 54-31 드림타워 101,102호055-291-8275성기민2015-11-16102024-03-18
910창원시2015-0008참좋은 동물병원경상남도 창원시 성산구 중앙동 86번지 5호경남 창원시 성산구 용지로121번길 1055-264-7507정세혁2015-07-03102024-03-18
순번관리기관등록번호업체명번지주소도로명주소전화번호대표자명신고일자근로수의사수면적데이터기준일자
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