Overview

Dataset statistics

Number of variables16
Number of observations3149
Missing cells4882
Missing cells (%)9.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory399.9 KiB
Average record size in memory130.0 B

Variable types

Categorical2
Text11
DateTime1
Numeric2

Dataset

Description반려동물 의료 및 복지시설
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=69D0HTUDZL4743JTTWMM32308298&infSeq=3

Alerts

정제WGS84위도 is highly overall correlated with 시군구명High correlation
정제WGS84경도 is highly overall correlated with 시군구명High correlation
시군구명 is highly overall correlated with 정제WGS84위도 and 1 other fieldsHigh correlation
상세주소 has 1462 (46.4%) missing valuesMissing
대표전화번호 has 70 (2.2%) missing valuesMissing
운영시간 has 427 (13.6%) missing valuesMissing
토요일운영시간 has 533 (16.9%) missing valuesMissing
일요일운영시간 has 1229 (39.0%) missing valuesMissing
휴무일 has 647 (20.5%) missing valuesMissing
이미지명 has 512 (16.3%) missing valuesMissing

Reproduction

Analysis started2023-12-10 22:49:34.281603
Analysis finished2023-12-10 22:49:37.051387
Duration2.77 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.7 KiB
동물약국
2177 
동물병원
961 
동물장묘업
 
11

Length

Max length5
Median length4
Mean length4.0034932
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row동물약국
2nd row동물병원
3rd row동물병원
4th row동물약국
5th row동물약국

Common Values

ValueCountFrequency (%)
동물약국 2177
69.1%
동물병원 961
30.5%
동물장묘업 11
 
0.3%

Length

2023-12-11T07:49:37.123189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:49:37.221574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물약국 2177
69.1%
동물병원 961
30.5%
동물장묘업 11
 
0.3%

상호명
Text

Distinct2552
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Memory size24.7 KiB
2023-12-11T07:49:37.516538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length27
Mean length6.1644967
Min length2

Characters and Unicode

Total characters19412
Distinct characters554
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2278 ?
Unique (%)72.3%

Sample

1st row태양약국
2nd row유앤아이동물병원
3rd row데이동물의료센터
4th row미사온누리약국
5th row큰길약국
ValueCountFrequency (%)
동물병원 147
 
4.1%
약국 59
 
1.7%
하나약국 17
 
0.5%
24시 16
 
0.4%
동물의료센터 14
 
0.4%
쿨펫동물병원 12
 
0.3%
중앙약국 12
 
0.3%
태평양약국 10
 
0.3%
사랑약국 10
 
0.3%
드림약국 10
 
0.3%
Other values (2617) 3268
91.4%
2023-12-11T07:49:37.981286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
약 2188
 
11.3%
국 2177
 
11.2%
동 1085
 
5.6%
물 982
 
5.1%
원 908
 
4.7%
병 828
 
4.3%
426
 
2.2%
리 395
 
2.0%
온 278
 
1.4%
누 249
 
1.3%
Other values (544) 9896
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18547
95.5%
Space Separator 426
 
2.2%
Decimal Number 250
 
1.3%
Uppercase Letter 73
 
0.4%
Lowercase Letter 52
 
0.3%
Close Punctuation 26
 
0.1%
Open Punctuation 26
 
0.1%
Other Punctuation 9
 
< 0.1%
Math Symbol 2
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
약 2188
 
11.8%
국 2177
 
11.7%
동 1085
 
5.9%
물 982
 
5.3%
원 908
 
4.9%
병 828
 
4.5%
리 395
 
2.1%
온 278
 
1.5%
누 249
 
1.3%
이 164
 
0.9%
Other values (483) 9293
50.1%
Uppercase Letter
ValueCountFrequency (%)
P 8
 
11.0%
A 7
 
9.6%
D 6
 
8.2%
E 6
 
8.2%
S 6
 
8.2%
T 5
 
6.8%
M 4
 
5.5%
C 4
 
5.5%
J 4
 
5.5%
B 3
 
4.1%
Other values (13) 20
27.4%
Lowercase Letter
ValueCountFrequency (%)
e 9
17.3%
r 6
11.5%
i 5
9.6%
u 4
 
7.7%
t 4
 
7.7%
n 4
 
7.7%
o 3
 
5.8%
l 3
 
5.8%
s 2
 
3.8%
h 2
 
3.8%
Other values (9) 10
19.2%
Decimal Number
ValueCountFrequency (%)
2 66
26.4%
4 51
20.4%
3 36
14.4%
5 34
13.6%
6 29
11.6%
1 22
 
8.8%
0 10
 
4.0%
7 1
 
0.4%
9 1
 
0.4%
Other Punctuation
ValueCountFrequency (%)
. 3
33.3%
& 3
33.3%
· 2
22.2%
, 1
 
11.1%
Math Symbol
ValueCountFrequency (%)
＋ 1
50.0%
+ 1
50.0%
Space Separator
ValueCountFrequency (%)
426
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18547
95.5%
Common 740
 
3.8%
Latin 125
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
약 2188
 
11.8%
국 2177
 
11.7%
동 1085
 
5.9%
물 982
 
5.3%
원 908
 
4.9%
병 828
 
4.5%
리 395
 
2.1%
온 278
 
1.5%
누 249
 
1.3%
이 164
 
0.9%
Other values (483) 9293
50.1%
Latin
ValueCountFrequency (%)
e 9
 
7.2%
P 8
 
6.4%
A 7
 
5.6%
r 6
 
4.8%
D 6
 
4.8%
E 6
 
4.8%
S 6
 
4.8%
T 5
 
4.0%
i 5
 
4.0%
u 4
 
3.2%
Other values (32) 63
50.4%
Common
ValueCountFrequency (%)
426
57.6%
2 66
 
8.9%
4 51
 
6.9%
3 36
 
4.9%
5 34
 
4.6%
6 29
 
3.9%
) 26
 
3.5%
( 26
 
3.5%
1 22
 
3.0%
0 10
 
1.4%
Other values (9) 14
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18547
95.5%
ASCII 862
 
4.4%
None 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
약 2188
 
11.8%
국 2177
 
11.7%
동 1085
 
5.9%
물 982
 
5.3%
원 908
 
4.9%
병 828
 
4.5%
리 395
 
2.1%
온 278
 
1.5%
누 249
 
1.3%
이 164
 
0.9%
Other values (483) 9293
50.1%
ASCII
ValueCountFrequency (%)
426
49.4%
2 66
 
7.7%
4 51
 
5.9%
3 36
 
4.2%
5 34
 
3.9%
6 29
 
3.4%
) 26
 
3.0%
( 26
 
3.0%
1 22
 
2.6%
0 10
 
1.2%
Other values (49) 136
 
15.8%
None
ValueCountFrequency (%)
· 2
66.7%
＋ 1
33.3%

시군구명
Categorical

HIGH CORRELATION 

Distinct43
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size24.7 KiB
부천시
254 
화성시
 
183
성남시 분당구
 
171
남양주시
 
167
시흥시
 
142
Other values (38)
2232 

Length

Max length8
Median length7
Mean length4.8577326
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row하남시
2nd row하남시
3rd row하남시
4th row하남시
5th row용인시 처인구

Common Values

ValueCountFrequency (%)
부천시 254
 
8.1%
화성시 183
 
5.8%
성남시 분당구 171
 
5.4%
남양주시 167
 
5.3%
시흥시 142
 
4.5%
고양시 덕양구 135
 
4.3%
의정부시 115
 
3.7%
김포시 115
 
3.7%
평택시 114
 
3.6%
수원시 영통구 107
 
3.4%
Other values (33) 1646
52.3%

Length

2023-12-11T07:49:38.127782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
수원시 328
 
7.3%
성남시 312
 
6.9%
고양시 263
 
5.8%
부천시 254
 
5.6%
용인시 223
 
5.0%
화성시 183
 
4.1%
분당구 171
 
3.8%
남양주시 167
 
3.7%
시흥시 142
 
3.2%
덕양구 135
 
3.0%
Other values (38) 2325
51.6%

읍면동명
Text

Distinct405
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Memory size24.7 KiB
2023-12-11T07:49:38.477175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.0206415
Min length2

Characters and Unicode

Total characters9512
Distinct characters209
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

Unique72 ?
Unique (%)2.3%

Sample

1st row신장동
2nd row망월동
3rd row망월동
4th row망월동
5th row삼가동
ValueCountFrequency (%)
중동 69
 
2.2%
정왕동 51
 
1.6%
정자동 42
 
1.3%
망월동 39
 
1.2%
다산동 37
 
1.2%
상동 36
 
1.1%
안양동 36
 
1.1%
금곡동 36
 
1.1%
호계동 34
 
1.1%
행신동 31
 
1.0%
Other values (395) 2738
86.9%
2023-12-11T07:49:38.978250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 2850
30.0%
읍 289
 
3.0%
정 253
 
2.7%
산 202
 
2.1%
곡 160
 
1.7%
신 151
 
1.6%
원 149
 
1.6%
양 142
 
1.5%
장 122
 
1.3%
중 115
 
1.2%
Other values (199) 5079
53.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9498
99.9%
Decimal Number 14
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 2850
30.0%
읍 289
 
3.0%
정 253
 
2.7%
산 202
 
2.1%
곡 160
 
1.7%
신 151
 
1.6%
원 149
 
1.6%
양 142
 
1.5%
장 122
 
1.3%
중 115
 
1.2%
Other values (196) 5065
53.3%
Decimal Number
ValueCountFrequency (%)
1 7
50.0%
2 5
35.7%
3 2
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9498
99.9%
Common 14
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 2850
30.0%
읍 289
 
3.0%
정 253
 
2.7%
산 202
 
2.1%
곡 160
 
1.7%
신 151
 
1.6%
원 149
 
1.6%
양 142
 
1.5%
장 122
 
1.3%
중 115
 
1.2%
Other values (196) 5065
53.3%
Common
ValueCountFrequency (%)
1 7
50.0%
2 5
35.7%
3 2
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9498
99.9%
ASCII 14
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 2850
30.0%
읍 289
 
3.0%
정 253
 
2.7%
산 202
 
2.1%
곡 160
 
1.7%
신 151
 
1.6%
원 149
 
1.6%
양 142
 
1.5%
장 122
 
1.3%
중 115
 
1.2%
Other values (196) 5065
53.3%
ASCII
ValueCountFrequency (%)
1 7
50.0%
2 5
35.7%
3 2
 
14.3%

소재지도로명주소
Text

Distinct3130
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size24.7 KiB
2023-12-11T07:49:39.315274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length52
Mean length31.408701
Min length10

Characters and Unicode

Total characters98906
Distinct characters558
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3116 ?
Unique (%)99.0%

Sample

1st row경기도 하남시 신장로 126, 동부신협빌딩 1층 (신장동)
2nd row경기도 하남시 미사강변남로 91, 르보아파크 Ⅱ 1층 119,120호 (망월동)
3rd row경기도 하남시 미사강변동로 121, 더랜드시티 1층 101,102호 (망월동)
4th row경기도 하남시 미사강변대로226번길 26, 106호 (망월동, 미사원프라자)
5th row경기도 용인시 처인구 중부대로 1154, 인앤인프라자 (삼가동)
ValueCountFrequency (%)
경기도 3126
 
14.8%
1층 598
 
2.8%
수원시 329
 
1.6%
성남시 312
 
1.5%
고양시 264
 
1.3%
부천시 233
 
1.1%
용인시 223
 
1.1%
화성시 183
 
0.9%
분당구 171
 
0.8%
남양주시 167
 
0.8%
Other values (4589) 15460
73.4%
2023-12-11T07:49:39.817124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17938
 
18.1%
1 4557
 
4.6%
시 3397
 
3.4%
동 3334
 
3.4%
경 3326
 
3.4%
기 3315
 
3.4%
도 3241
 
3.3%
로 3096
 
3.1%
, 2668
 
2.7%
) 2626
 
2.7%
Other values (548) 51408
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 56264
56.9%
Space Separator 17938
 
18.1%
Decimal Number 15932
 
16.1%
Other Punctuation 2687
 
2.7%
Close Punctuation 2626
 
2.7%
Open Punctuation 2626
 
2.7%
Dash Punctuation 408
 
0.4%
Uppercase Letter 278
 
0.3%
Lowercase Letter 111
 
0.1%
Math Symbol 29
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 3397
 
6.0%
동 3334
 
5.9%
경 3326
 
5.9%
기 3315
 
5.9%
도 3241
 
5.8%
로 3096
 
5.5%
호 1578
 
2.8%
구 1461
 
2.6%
양 1013
 
1.8%
층 844
 
1.5%
Other values (478) 31659
56.3%
Uppercase Letter
ValueCountFrequency (%)
B 45
16.2%
A 43
15.5%
S 25
 
9.0%
C 22
 
7.9%
K 13
 
4.7%
L 12
 
4.3%
E 12
 
4.3%
M 11
 
4.0%
T 11
 
4.0%
R 9
 
3.2%
Other values (15) 75
27.0%
Lowercase Letter
ValueCountFrequency (%)
e 25
22.5%
r 8
 
7.2%
t 7
 
6.3%
c 7
 
6.3%
k 7
 
6.3%
n 6
 
5.4%
i 6
 
5.4%
l 6
 
5.4%
m 6
 
5.4%
o 5
 
4.5%
Other values (11) 28
25.2%
Decimal Number
ValueCountFrequency (%)
1 4557
28.6%
2 2240
14.1%
0 2110
13.2%
3 1438
 
9.0%
4 1125
 
7.1%
5 1071
 
6.7%
7 905
 
5.7%
8 870
 
5.5%
6 861
 
5.4%
9 755
 
4.7%
Other Punctuation
ValueCountFrequency (%)
, 2668
99.3%
. 15
 
0.6%
/ 3
 
0.1%
' 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 3
42.9%
Ⅰ 2
28.6%
Ⅳ 1
 
14.3%
Ⅲ 1
 
14.3%
Math Symbol
ValueCountFrequency (%)
~ 28
96.6%
+ 1
 
3.4%
Space Separator
ValueCountFrequency (%)
17938
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2626
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2626
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 408
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 56264
56.9%
Common 42246
42.7%
Latin 396
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 3397
 
6.0%
동 3334
 
5.9%
경 3326
 
5.9%
기 3315
 
5.9%
도 3241
 
5.8%
로 3096
 
5.5%
호 1578
 
2.8%
구 1461
 
2.6%
양 1013
 
1.8%
층 844
 
1.5%
Other values (478) 31659
56.3%
Latin
ValueCountFrequency (%)
B 45
 
11.4%
A 43
 
10.9%
e 25
 
6.3%
S 25
 
6.3%
C 22
 
5.6%
K 13
 
3.3%
L 12
 
3.0%
E 12
 
3.0%
M 11
 
2.8%
T 11
 
2.8%
Other values (40) 177
44.7%
Common
ValueCountFrequency (%)
17938
42.5%
1 4557
 
10.8%
, 2668
 
6.3%
) 2626
 
6.2%
( 2626
 
6.2%
2 2240
 
5.3%
0 2110
 
5.0%
3 1438
 
3.4%
4 1125
 
2.7%
5 1071
 
2.5%
Other values (10) 3847
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 56264
56.9%
ASCII 42635
43.1%
Number Forms 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17938
42.1%
1 4557
 
10.7%
, 2668
 
6.3%
) 2626
 
6.2%
( 2626
 
6.2%
2 2240
 
5.3%
0 2110
 
4.9%
3 1438
 
3.4%
4 1125
 
2.6%
5 1071
 
2.5%
Other values (56) 4236
 
9.9%
Hangul
ValueCountFrequency (%)
시 3397
 
6.0%
동 3334
 
5.9%
경 3326
 
5.9%
기 3315
 
5.9%
도 3241
 
5.8%
로 3096
 
5.5%
호 1578
 
2.8%
구 1461
 
2.6%
양 1013
 
1.8%
층 844
 
1.5%
Other values (478) 31659
56.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 3
42.9%
Ⅰ 2
28.6%
Ⅳ 1
 
14.3%
Ⅲ 1
 
14.3%

소재지지번주소
Text

Distinct3089
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size24.7 KiB
2023-12-11T07:49:40.206291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length45
Mean length24.426485
Min length11

Characters and Unicode

Total characters76919
Distinct characters513
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3033 ?
Unique (%)96.3%

Sample

1st row경기도 하남시 신장동 512-1번지 동부신협빌딩
2nd row경기도 하남시 망월동 1119-1 르보아파크 Ⅱ,120호 119호
3rd row경기도 하남시 망월동 1093-3 더랜드시티, 101호 102호
4th row경기도 하남시 망월동 970-1번지 106호 미사원프라자
5th row경기도 용인시 처인구 삼가동 250-39번지
ValueCountFrequency (%)
경기도 3146
 
18.8%
수원시 329
 
2.0%
성남시 312
 
1.9%
고양시 263
 
1.6%
부천시 254
 
1.5%
용인시 223
 
1.3%
화성시 183
 
1.1%
분당구 171
 
1.0%
남양주시 167
 
1.0%
시흥시 142
 
0.9%
Other values (4769) 11511
68.9%
2023-12-11T07:49:40.695964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13567
 
17.6%
1 3551
 
4.6%
시 3313
 
4.3%
기 3277
 
4.3%
도 3209
 
4.2%
경 3182
 
4.1%
동 3182
 
4.1%
- 2365
 
3.1%
지 1978
 
2.6%
2 1813
 
2.4%
Other values (503) 37482
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 45305
58.9%
Decimal Number 15206
 
19.8%
Space Separator 13567
 
17.6%
Dash Punctuation 2365
 
3.1%
Uppercase Letter 217
 
0.3%
Other Punctuation 105
 
0.1%
Lowercase Letter 96
 
0.1%
Close Punctuation 20
 
< 0.1%
Open Punctuation 20
 
< 0.1%
Math Symbol 11
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 3313
 
7.3%
기 3277
 
7.2%
도 3209
 
7.1%
경 3182
 
7.0%
동 3182
 
7.0%
지 1978
 
4.4%
번 1734
 
3.8%
구 1440
 
3.2%
양 956
 
2.1%
호 760
 
1.7%
Other values (437) 22274
49.2%
Uppercase Letter
ValueCountFrequency (%)
B 26
 
12.0%
A 26
 
12.0%
S 20
 
9.2%
C 19
 
8.8%
E 12
 
5.5%
L 11
 
5.1%
K 11
 
5.1%
T 9
 
4.1%
R 9
 
4.1%
W 8
 
3.7%
Other values (14) 66
30.4%
Lowercase Letter
ValueCountFrequency (%)
e 25
26.0%
r 8
 
8.3%
t 8
 
8.3%
c 6
 
6.2%
n 6
 
6.2%
a 5
 
5.2%
m 5
 
5.2%
i 5
 
5.2%
o 5
 
5.2%
k 4
 
4.2%
Other values (8) 19
19.8%
Decimal Number
ValueCountFrequency (%)
1 3551
23.4%
2 1813
11.9%
0 1542
10.1%
3 1512
9.9%
4 1311
 
8.6%
5 1242
 
8.2%
6 1198
 
7.9%
7 1095
 
7.2%
8 994
 
6.5%
9 948
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 95
90.5%
. 7
 
6.7%
/ 2
 
1.9%
' 1
 
1.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 3
42.9%
Ⅰ 2
28.6%
Ⅳ 1
 
14.3%
Ⅲ 1
 
14.3%
Math Symbol
ValueCountFrequency (%)
~ 10
90.9%
+ 1
 
9.1%
Space Separator
ValueCountFrequency (%)
13567
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2365
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 45305
58.9%
Common 31294
40.7%
Latin 320
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 3313
 
7.3%
기 3277
 
7.2%
도 3209
 
7.1%
경 3182
 
7.0%
동 3182
 
7.0%
지 1978
 
4.4%
번 1734
 
3.8%
구 1440
 
3.2%
양 956
 
2.1%
호 760
 
1.7%
Other values (437) 22274
49.2%
Latin
ValueCountFrequency (%)
B 26
 
8.1%
A 26
 
8.1%
e 25
 
7.8%
S 20
 
6.2%
C 19
 
5.9%
E 12
 
3.8%
L 11
 
3.4%
K 11
 
3.4%
T 9
 
2.8%
R 9
 
2.8%
Other values (36) 152
47.5%
Common
ValueCountFrequency (%)
13567
43.4%
1 3551
 
11.3%
- 2365
 
7.6%
2 1813
 
5.8%
0 1542
 
4.9%
3 1512
 
4.8%
4 1311
 
4.2%
5 1242
 
4.0%
6 1198
 
3.8%
7 1095
 
3.5%
Other values (10) 2098
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 45305
58.9%
ASCII 31607
41.1%
Number Forms 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13567
42.9%
1 3551
 
11.2%
- 2365
 
7.5%
2 1813
 
5.7%
0 1542
 
4.9%
3 1512
 
4.8%
4 1311
 
4.1%
5 1242
 
3.9%
6 1198
 
3.8%
7 1095
 
3.5%
Other values (52) 2411
 
7.6%
Hangul
ValueCountFrequency (%)
시 3313
 
7.3%
기 3277
 
7.2%
도 3209
 
7.1%
경 3182
 
7.0%
동 3182
 
7.0%
지 1978
 
4.4%
번 1734
 
3.8%
구 1440
 
3.2%
양 956
 
2.1%
호 760
 
1.7%
Other values (437) 22274
49.2%
Number Forms
ValueCountFrequency (%)
Ⅱ 3
42.9%
Ⅰ 2
28.6%
Ⅳ 1
 
14.3%
Ⅲ 1
 
14.3%

상세주소
Text

MISSING 

Distinct127
Distinct (%)7.5%
Missing1462
Missing (%)46.4%
Memory size24.7 KiB
2023-12-11T07:49:40.981637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length2
Mean length2.4599881
Min length2

Characters and Unicode

Total characters4150
Distinct characters93
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

Unique98 ?
Unique (%)5.8%

Sample

1st row120호 119호
2nd row101호,102호
3rd row101호
4th row2층 2002,2002-1,2003호
5th row6층 603호
ValueCountFrequency (%)
1층 1391
78.1%
2층 132
 
7.4%
3층 29
 
1.6%
101호 17
 
1.0%
4층 15
 
0.8%
102호 11
 
0.6%
104호 11
 
0.6%
5층 9
 
0.5%
106호 8
 
0.4%
103호 6
 
0.3%
Other values (106) 151
 
8.5%
2023-12-11T07:49:41.737304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1599
38.5%
층 1590
38.3%
2 203
 
4.9%
호 150
 
3.6%
0 131
 
3.2%
97
 
2.3%
3 62
 
1.5%
4 44
 
1.1%
5 26
 
0.6%
, 25
 
0.6%
Other values (83) 223
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2108
50.8%
Other Letter 1902
45.8%
Space Separator 97
 
2.3%
Other Punctuation 25
 
0.6%
Uppercase Letter 11
 
0.3%
Dash Punctuation 4
 
0.1%
Math Symbol 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
층 1590
83.6%
호 150
 
7.9%
자 8
 
0.4%
라 7
 
0.4%
프 7
 
0.4%
이 6
 
0.3%
트 6
 
0.3%
지 6
 
0.3%
하 5
 
0.3%
점 4
 
0.2%
Other values (65) 113
 
5.9%
Decimal Number
ValueCountFrequency (%)
1 1599
75.9%
2 203
 
9.6%
0 131
 
6.2%
3 62
 
2.9%
4 44
 
2.1%
5 26
 
1.2%
6 17
 
0.8%
9 12
 
0.6%
8 7
 
0.3%
7 7
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
B 7
63.6%
A 2
 
18.2%
G 1
 
9.1%
S 1
 
9.1%
Space Separator
ValueCountFrequency (%)
97
100.0%
Other Punctuation
ValueCountFrequency (%)
, 25
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2237
53.9%
Hangul 1902
45.8%
Latin 11
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
층 1590
83.6%
호 150
 
7.9%
자 8
 
0.4%
라 7
 
0.4%
프 7
 
0.4%
이 6
 
0.3%
트 6
 
0.3%
지 6
 
0.3%
하 5
 
0.3%
점 4
 
0.2%
Other values (65) 113
 
5.9%
Common
ValueCountFrequency (%)
1 1599
71.5%
2 203
 
9.1%
0 131
 
5.9%
97
 
4.3%
3 62
 
2.8%
4 44
 
2.0%
5 26
 
1.2%
, 25
 
1.1%
6 17
 
0.8%
9 12
 
0.5%
Other values (4) 21
 
0.9%
Latin
ValueCountFrequency (%)
B 7
63.6%
A 2
 
18.2%
G 1
 
9.1%
S 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2248
54.2%
Hangul 1902
45.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1599
71.1%
2 203
 
9.0%
0 131
 
5.8%
97
 
4.3%
3 62
 
2.8%
4 44
 
2.0%
5 26
 
1.2%
, 25
 
1.1%
6 17
 
0.8%
9 12
 
0.5%
Other values (8) 32
 
1.4%
Hangul
ValueCountFrequency (%)
층 1590
83.6%
호 150
 
7.9%
자 8
 
0.4%
라 7
 
0.4%
프 7
 
0.4%
이 6
 
0.3%
트 6
 
0.3%
지 6
 
0.3%
하 5
 
0.3%
점 4
 
0.2%
Other values (65) 113
 
5.9%

대표전화번호
Text

MISSING 

Distinct3047
Distinct (%)99.0%
Missing70
Missing (%)2.2%
Memory size24.7 KiB
2023-12-11T07:49:42.055740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length12.244885
Min length8

Characters and Unicode

Total characters37702
Distinct characters15
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

Unique3021 ?
Unique (%)98.1%

Sample

1st row031-794-5888
2nd row031-994-7582
3rd row0507-1343-7589
4th row031-794-2270
5th row031-333-2882
ValueCountFrequency (%)
8
 
0.3%
031-793-0531 2
 
0.1%
031-962-5114 2
 
0.1%
031-978-7575 2
 
0.1%
031-394-0816 2
 
0.1%
031-949-1275 2
 
0.1%
070-8845-3718 2
 
0.1%
031-283-7002 2
 
0.1%
031-535-8037 2
 
0.1%
031-487-0275 2
 
0.1%
Other values (3037) 3053
99.2%
2023-12-11T07:49:42.504368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 6153
16.3%
0 5337
14.2%
3 4967
13.2%
1 4753
12.6%
7 3135
8.3%
5 2884
7.6%
2 2662
7.1%
8 2125
 
5.6%
9 1884
 
5.0%
6 1855
 
4.9%
Other values (5) 1947
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 31457
83.4%
Dash Punctuation 6153
 
16.3%
Other Punctuation 90
 
0.2%
Math Symbol 1
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5337
17.0%
3 4967
15.8%
1 4753
15.1%
7 3135
10.0%
5 2884
9.2%
2 2662
8.5%
8 2125
 
6.8%
9 1884
 
6.0%
6 1855
 
5.9%
4 1855
 
5.9%
Other Punctuation
ValueCountFrequency (%)
* 88
97.8%
, 2
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 6153
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 37702
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 6153
16.3%
0 5337
14.2%
3 4967
13.2%
1 4753
12.6%
7 3135
8.3%
5 2884
7.6%
2 2662
7.1%
8 2125
 
5.6%
9 1884
 
5.0%
6 1855
 
4.9%
Other values (5) 1947
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 37702
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 6153
16.3%
0 5337
14.2%
3 4967
13.2%
1 4753
12.6%
7 3135
8.3%
5 2884
7.6%
2 2662
7.1%
8 2125
 
5.6%
9 1884
 
5.0%
6 1855
 
4.9%
Other values (5) 1947
 
5.2%

운영시간
Text

MISSING 

Distinct262
Distinct (%)9.6%
Missing427
Missing (%)13.6%
Memory size24.7 KiB
2023-12-11T07:49:42.840485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length85
Median length11
Mean length11.457752
Min length4

Characters and Unicode

Total characters31188
Distinct characters31
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique165 ?
Unique (%)6.1%

Sample

1st row08:30~22:00
2nd row10:00~22:00
3rd row10:00~21:00
4th row08:30~21:00
5th row09:00~18:00
ValueCountFrequency (%)
09:00~20:00 293
 
10.6%
09:00~21:00 255
 
9.2%
09:00~19:00 237
 
8.5%
10:00~20:00 157
 
5.7%
10:00~19:00 123
 
4.4%
09:00~22:00 119
 
4.3%
09:00~18:00 87
 
3.1%
08:30~19:00 83
 
3.0%
09:00~19:30 78
 
2.8%
00:00~24:00 65
 
2.3%
Other values (273) 1276
46.0%
2023-12-11T07:49:43.337731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 13303
42.7%
: 5517
17.7%
~ 2757
 
8.8%
9 2403
 
7.7%
1 2270
 
7.3%
2 1853
 
5.9%
3 1227
 
3.9%
8 792
 
2.5%
4 113
 
0.4%
일 93
 
0.3%
Other values (21) 860
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 22063
70.7%
Other Punctuation 5634
 
18.1%
Math Symbol 2775
 
8.9%
Other Letter 569
 
1.8%
Space Separator 51
 
0.2%
Open Punctuation 47
 
0.2%
Close Punctuation 47
 
0.2%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 93
16.3%
요 93
16.3%
수 50
8.8%
없 47
8.3%
음 47
8.3%
정 47
8.3%
보 47
8.3%
화 38
6.7%
목 37
 
6.5%
월 35
 
6.2%
Decimal Number
ValueCountFrequency (%)
0 13303
60.3%
9 2403
 
10.9%
1 2270
 
10.3%
2 1853
 
8.4%
3 1227
 
5.6%
8 792
 
3.6%
4 113
 
0.5%
5 44
 
0.2%
7 41
 
0.2%
6 17
 
0.1%
Other Punctuation
ValueCountFrequency (%)
: 5517
97.9%
, 80
 
1.4%
/ 36
 
0.6%
. 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 2757
99.4%
+ 18
 
0.6%
Space Separator
ValueCountFrequency (%)
51
100.0%
Open Punctuation
ValueCountFrequency (%)
( 47
100.0%
Close Punctuation
ValueCountFrequency (%)
) 47
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 30619
98.2%
Hangul 569
 
1.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 13303
43.4%
: 5517
18.0%
~ 2757
 
9.0%
9 2403
 
7.8%
1 2270
 
7.4%
2 1853
 
6.1%
3 1227
 
4.0%
8 792
 
2.6%
4 113
 
0.4%
, 80
 
0.3%
Other values (10) 304
 
1.0%
Hangul
ValueCountFrequency (%)
일 93
16.3%
요 93
16.3%
수 50
8.8%
없 47
8.3%
음 47
8.3%
정 47
8.3%
보 47
8.3%
화 38
6.7%
목 37
 
6.5%
월 35
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 30619
98.2%
Hangul 569
 
1.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 13303
43.4%
: 5517
18.0%
~ 2757
 
9.0%
9 2403
 
7.8%
1 2270
 
7.4%
2 1853
 
6.1%
3 1227
 
4.0%
8 792
 
2.6%
4 113
 
0.4%
, 80
 
0.3%
Other values (10) 304
 
1.0%
Hangul
ValueCountFrequency (%)
일 93
16.3%
요 93
16.3%
수 50
8.8%
없 47
8.3%
음 47
8.3%
정 47
8.3%
보 47
8.3%
화 38
6.7%
목 37
 
6.5%
월 35
 
6.2%

토요일운영시간
Text

MISSING 

Distinct229
Distinct (%)8.8%
Missing533
Missing (%)16.9%
Memory size24.7 KiB
2023-12-11T07:49:43.682983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length11
Mean length10.505352
Min length2

Characters and Unicode

Total characters27482
Distinct characters32
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

Unique106 ?
Unique (%)4.1%

Sample

1st row08:30~22:00
2nd row10:00~19:00
3rd row10:00~21:00
4th row09:00~15:00
5th row08:40~16:50
ValueCountFrequency (%)
09:00~14:00 158
 
6.0%
09:00~16:00 144
 
5.5%
09:00~18:00 142
 
5.4%
09:00~15:00 126
 
4.8%
09:00~21:00 111
 
4.2%
09:00~17:00 99
 
3.8%
10:00~19:00 84
 
3.2%
10:00~20:00 82
 
3.1%
정보없음 78
 
3.0%
휴무 78
 
3.0%
Other values (221) 1517
57.9%
2023-12-11T07:49:44.147739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 11656
42.4%
: 4907
17.9%
1 2476
 
9.0%
~ 2449
 
8.9%
9 1741
 
6.3%
3 1008
 
3.7%
2 944
 
3.4%
8 680
 
2.5%
4 386
 
1.4%
5 259
 
0.9%
Other values (22) 976
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 19615
71.4%
Other Punctuation 4910
 
17.9%
Math Symbol 2449
 
8.9%
Other Letter 502
 
1.8%
Space Separator 4
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
휴 85
16.9%
무 85
16.9%
음 78
15.5%
없 78
15.5%
보 78
15.5%
정 78
15.5%
일 10
 
2.0%
요 3
 
0.6%
약 1
 
0.2%
진 1
 
0.2%
Other values (5) 5
 
1.0%
Decimal Number
ValueCountFrequency (%)
0 11656
59.4%
1 2476
 
12.6%
9 1741
 
8.9%
3 1008
 
5.1%
2 944
 
4.8%
8 680
 
3.5%
4 386
 
2.0%
5 259
 
1.3%
6 247
 
1.3%
7 218
 
1.1%
Other Punctuation
ValueCountFrequency (%)
: 4907
99.9%
, 2
 
< 0.1%
/ 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 2449
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 26980
98.2%
Hangul 502
 
1.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11656
43.2%
: 4907
18.2%
1 2476
 
9.2%
~ 2449
 
9.1%
9 1741
 
6.5%
3 1008
 
3.7%
2 944
 
3.5%
8 680
 
2.5%
4 386
 
1.4%
5 259
 
1.0%
Other values (7) 474
 
1.8%
Hangul
ValueCountFrequency (%)
휴 85
16.9%
무 85
16.9%
음 78
15.5%
없 78
15.5%
보 78
15.5%
정 78
15.5%
일 10
 
2.0%
요 3
 
0.6%
약 1
 
0.2%
진 1
 
0.2%
Other values (5) 5
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 26980
98.2%
Hangul 502
 
1.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11656
43.2%
: 4907
18.2%
1 2476
 
9.2%
~ 2449
 
9.1%
9 1741
 
6.5%
3 1008
 
3.7%
2 944
 
3.5%
8 680
 
2.5%
4 386
 
1.4%
5 259
 
1.0%
Other values (7) 474
 
1.8%
Hangul
ValueCountFrequency (%)
휴 85
16.9%
무 85
16.9%
음 78
15.5%
없 78
15.5%
보 78
15.5%
정 78
15.5%
일 10
 
2.0%
요 3
 
0.6%
약 1
 
0.2%
진 1
 
0.2%
Other values (5) 5
 
1.0%

일요일운영시간
Text

MISSING 

Distinct202
Distinct (%)10.5%
Missing1229
Missing (%)39.0%
Memory size24.7 KiB
2023-12-11T07:49:44.438635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length11
Mean length6.8598958
Min length1

Characters and Unicode

Total characters13171
Distinct characters28
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

Unique97 ?
Unique (%)5.1%

Sample

1st row08:30~22:00
2nd row10:00~19:00
3rd row10:00~19:00
4th row09:00~14:00
5th row08:40~13:00
ValueCountFrequency (%)
휴무 692
36.0%
휴무일 130
 
6.8%
정보없음 91
 
4.7%
00:00~24:00 61
 
3.2%
09:00~13:00 47
 
2.4%
10:00~19:00 44
 
2.3%
09:00~22:00 43
 
2.2%
10:00~20:00 43
 
2.2%
09:00~21:00 40
 
2.1%
10:00~22:00 39
 
2.0%
Other values (193) 692
36.0%
2023-12-11T07:49:44.808088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4842
36.8%
: 2003
15.2%
1 1086
 
8.2%
~ 999
 
7.6%
휴 825
 
6.3%
무 822
 
6.2%
2 660
 
5.0%
9 560
 
4.3%
3 366
 
2.8%
8 205
 
1.6%
Other values (18) 803
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8008
60.8%
Other Letter 2155
 
16.4%
Other Punctuation 2003
 
15.2%
Math Symbol 999
 
7.6%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Space Separator 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
휴 825
38.3%
무 822
38.1%
일 134
 
6.2%
음 91
 
4.2%
보 91
 
4.2%
정 91
 
4.2%
없 91
 
4.2%
예 2
 
0.1%
약 2
 
0.1%
진 2
 
0.1%
Other values (3) 4
 
0.2%
Decimal Number
ValueCountFrequency (%)
0 4842
60.5%
1 1086
 
13.6%
2 660
 
8.2%
9 560
 
7.0%
3 366
 
4.6%
8 205
 
2.6%
4 140
 
1.7%
7 59
 
0.7%
5 45
 
0.6%
6 45
 
0.6%
Other Punctuation
ValueCountFrequency (%)
: 2003
100.0%
Math Symbol
ValueCountFrequency (%)
~ 999
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11016
83.6%
Hangul 2155
 
16.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4842
44.0%
: 2003
18.2%
1 1086
 
9.9%
~ 999
 
9.1%
2 660
 
6.0%
9 560
 
5.1%
3 366
 
3.3%
8 205
 
1.9%
4 140
 
1.3%
7 59
 
0.5%
Other values (5) 96
 
0.9%
Hangul
ValueCountFrequency (%)
휴 825
38.3%
무 822
38.1%
일 134
 
6.2%
음 91
 
4.2%
보 91
 
4.2%
정 91
 
4.2%
없 91
 
4.2%
예 2
 
0.1%
약 2
 
0.1%
진 2
 
0.1%
Other values (3) 4
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11016
83.6%
Hangul 2155
 
16.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4842
44.0%
: 2003
18.2%
1 1086
 
9.9%
~ 999
 
9.1%
2 660
 
6.0%
9 560
 
5.1%
3 366
 
3.3%
8 205
 
1.9%
4 140
 
1.3%
7 59
 
0.5%
Other values (5) 96
 
0.9%
Hangul
ValueCountFrequency (%)
휴 825
38.3%
무 822
38.1%
일 134
 
6.2%
음 91
 
4.2%
보 91
 
4.2%
정 91
 
4.2%
없 91
 
4.2%
예 2
 
0.1%
약 2
 
0.1%
진 2
 
0.1%
Other values (3) 4
 
0.2%

휴무일
Text

MISSING 

Distinct128
Distinct (%)5.1%
Missing647
Missing (%)20.5%
Memory size24.7 KiB
2023-12-11T07:49:45.019279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length25
Mean length4.3189448
Min length1

Characters and Unicode

Total characters10806
Distinct characters71
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

Unique89 ?
Unique (%)3.6%

Sample

1st row연중무휴
2nd row연중무휴
3rd row연중무휴
4th row연중무휴
5th row첫째주일요일
ValueCountFrequency (%)
일요일 1122
42.3%
연중무휴 622
23.5%
일요일,공휴일 270
 
10.2%
공휴일 117
 
4.4%
정보없음 114
 
4.3%
토요일,일요일 73
 
2.8%
수요일 36
 
1.4%
토요일 25
 
0.9%
토요일,일요일,공휴일 22
 
0.8%
매주 21
 
0.8%
Other values (105) 230
 
8.7%
2023-12-11T07:49:45.355435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
일 3788
35.1%
요 1783
16.5%
휴 1080
 
10.0%
무 640
 
5.9%
연 624
 
5.8%
중 624
 
5.8%
, 513
 
4.7%
공 441
 
4.1%
151
 
1.4%
토 141
 
1.3%
Other values (61) 1021
 
9.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9990
92.4%
Other Punctuation 525
 
4.9%
Space Separator 151
 
1.4%
Decimal Number 93
 
0.9%
Math Symbol 33
 
0.3%
Close Punctuation 7
 
0.1%
Open Punctuation 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 3788
37.9%
요 1783
17.8%
휴 1080
 
10.8%
무 640
 
6.4%
연 624
 
6.2%
중 624
 
6.2%
공 441
 
4.4%
토 141
 
1.4%
정 116
 
1.2%
보 114
 
1.1%
Other values (45) 639
 
6.4%
Decimal Number
ValueCountFrequency (%)
2 29
31.2%
4 26
28.0%
0 16
17.2%
1 11
 
11.8%
3 9
 
9.7%
5 2
 
2.2%
Other Punctuation
ValueCountFrequency (%)
, 513
97.7%
: 6
 
1.1%
/ 3
 
0.6%
. 2
 
0.4%
? 1
 
0.2%
Math Symbol
ValueCountFrequency (%)
+ 30
90.9%
~ 3
 
9.1%
Space Separator
ValueCountFrequency (%)
151
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9990
92.4%
Common 816
 
7.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 3788
37.9%
요 1783
17.8%
휴 1080
 
10.8%
무 640
 
6.4%
연 624
 
6.2%
중 624
 
6.2%
공 441
 
4.4%
토 141
 
1.4%
정 116
 
1.2%
보 114
 
1.1%
Other values (45) 639
 
6.4%
Common
ValueCountFrequency (%)
, 513
62.9%
151
 
18.5%
+ 30
 
3.7%
2 29
 
3.6%
4 26
 
3.2%
0 16
 
2.0%
1 11
 
1.3%
3 9
 
1.1%
) 7
 
0.9%
( 7
 
0.9%
Other values (6) 17
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9990
92.4%
ASCII 816
 
7.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
일 3788
37.9%
요 1783
17.8%
휴 1080
 
10.8%
무 640
 
6.4%
연 624
 
6.2%
중 624
 
6.2%
공 441
 
4.4%
토 141
 
1.4%
정 116
 
1.2%
보 114
 
1.1%
Other values (45) 639
 
6.4%
ASCII
ValueCountFrequency (%)
, 513
62.9%
151
 
18.5%
+ 30
 
3.7%
2 29
 
3.6%
4 26
 
3.2%
0 16
 
2.0%
1 11
 
1.3%
3 9
 
1.1%
) 7
 
0.9%
( 7
 
0.9%
Other values (6) 17
 
2.1%

이미지명
Text

MISSING 

Distinct2637
Distinct (%)100.0%
Missing512
Missing (%)16.3%
Memory size24.7 KiB
2023-12-11T07:49:45.609103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length19
Mean length19
Min length19

Characters and Unicode

Total characters50103
Distinct characters16
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2637 ?
Unique (%)100.0%

Sample

1st row423118053089_1.jpeg
2nd row413118054030_1.jpeg
3rd row413118062029_1.jpeg
4th row423118053030_1.jpeg
5th row423119111002_1.jpeg
ValueCountFrequency (%)
423128052007_1.jpeg 1
 
< 0.1%
423105089197_1.jpeg 1
 
< 0.1%
423105096024_1.jpeg 1
 
< 0.1%
423101368014_1.jpeg 1
 
< 0.1%
423105091020_1.jpeg 1
 
< 0.1%
423105091110_1.jpeg 1
 
< 0.1%
423105095247_1.jpeg 1
 
< 0.1%
423105095123_1.jpeg 1
 
< 0.1%
423105096217_1.jpeg 1
 
< 0.1%
423105096069_1.jpeg 1
 
< 0.1%
Other values (2627) 2627
99.6%
2023-12-11T07:49:45.977053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 9223
18.4%
0 6581
13.1%
3 4264
8.5%
2 4003
8.0%
4 3972
7.9%
_ 2637
 
5.3%
. 2637
 
5.3%
j 2637
 
5.3%
p 2637
 
5.3%
e 2637
 
5.3%
Other values (6) 8875
17.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 34281
68.4%
Lowercase Letter 10548
 
21.1%
Connector Punctuation 2637
 
5.3%
Other Punctuation 2637
 
5.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 9223
26.9%
0 6581
19.2%
3 4264
12.4%
2 4003
11.7%
4 3972
11.6%
5 2333
 
6.8%
6 1531
 
4.5%
7 872
 
2.5%
9 797
 
2.3%
8 705
 
2.1%
Lowercase Letter
ValueCountFrequency (%)
j 2637
25.0%
p 2637
25.0%
e 2637
25.0%
g 2637
25.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2637
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2637
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 39555
78.9%
Latin 10548
 
21.1%

Most frequent character per script

Common
ValueCountFrequency (%)
1 9223
23.3%
0 6581
16.6%
3 4264
10.8%
2 4003
10.1%
4 3972
10.0%
_ 2637
 
6.7%
. 2637
 
6.7%
5 2333
 
5.9%
6 1531
 
3.9%
7 872
 
2.2%
Other values (2) 1502
 
3.8%
Latin
ValueCountFrequency (%)
j 2637
25.0%
p 2637
25.0%
e 2637
25.0%
g 2637
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 50103
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 9223
18.4%
0 6581
13.1%
3 4264
8.5%
2 4003
8.0%
4 3972
7.9%
_ 2637
 
5.3%
. 2637
 
5.3%
j 2637
 
5.3%
p 2637
 
5.3%
e 2637
 
5.3%
Other values (6) 8875
17.7%

데이터기준일자
Date

Distinct62
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size24.7 KiB
Minimum2022-08-24 00:00:00
Maximum2022-11-30 00:00:00
2023-12-11T07:49:46.111532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:49:46.235290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

정제WGS84위도
Real number (ℝ)

HIGH CORRELATION 

Distinct2922
Distinct (%)92.8%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean37.439909
Minimum36.959158
Maximum38.133581
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.8 KiB
2023-12-11T07:49:46.369391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.959158
5-th percentile37.137292
Q137.292934
median37.407484
Q337.619271
95-th percentile37.751848
Maximum38.133581
Range1.1744239
Interquartile range (IQR)0.32633701

Descriptive statistics

Standard deviation0.19855188
Coefficient of variation (CV)0.0053032147
Kurtosis-0.37928867
Mean37.439909
Median Absolute Deviation (MAD)0.13264378
Skewness0.16123667
Sum117860.83
Variance0.039422848
MonotonicityNot monotonic
2023-12-11T07:49:46.523967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.6437194644 7
 
0.2%
37.670269954 4
 
0.1%
37.5051300224 4
 
0.1%
37.5641109151 4
 
0.1%
37.6470962619 3
 
0.1%
37.3021627847 3
 
0.1%
37.4436090596 3
 
0.1%
37.2451586486 3
 
0.1%
37.2819999319 3
 
0.1%
37.3622442111 3
 
0.1%
Other values (2912) 3111
98.8%
ValueCountFrequency (%)
36.9591575959 1
< 0.1%
36.9608455198 1
< 0.1%
36.9612802179 1
< 0.1%
36.9632453036 1
< 0.1%
36.9637304599 1
< 0.1%
36.9644052069 1
< 0.1%
36.9676318825 1
< 0.1%
36.9777827658 1
< 0.1%
36.9790863294 1
< 0.1%
36.9791878798 1
< 0.1%
ValueCountFrequency (%)
38.133581452 1
< 0.1%
38.0908758389 1
< 0.1%
38.0904627858 1
< 0.1%
38.0268185672 1
< 0.1%
38.0247171958 1
< 0.1%
38.0243953279 1
< 0.1%
38.0236526286 1
< 0.1%
38.0220568931 1
< 0.1%
37.9574711245 1
< 0.1%
37.9567226464 1
< 0.1%

정제WGS84경도
Real number (ℝ)

HIGH CORRELATION 

Distinct2922
Distinct (%)92.8%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean127.00245
Minimum126.62288
Maximum127.64544
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.8 KiB
2023-12-11T07:49:46.694046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.62288
5-th percentile126.73642
Q1126.82577
median127.03799
Q3127.12249
95-th percentile127.29463
Maximum127.64544
Range1.022561
Interquartile range (IQR)0.29671617

Descriptive statistics

Standard deviation0.18773575
Coefficient of variation (CV)0.0014782058
Kurtosis0.22236501
Mean127.00245
Median Absolute Deviation (MAD)0.12080286
Skewness0.38579703
Sum399803.7
Variance0.035244714
MonotonicityNot monotonic
2023-12-11T07:49:46.866165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.2396862764 7
 
0.2%
126.7619424818 4
 
0.1%
126.7537281611 4
 
0.1%
127.1939802632 4
 
0.1%
126.8948092677 3
 
0.1%
127.0092247016 3
 
0.1%
127.1521007862 3
 
0.1%
127.052429007 3
 
0.1%
127.0575579762 3
 
0.1%
126.96249994 3
 
0.1%
Other values (2912) 3111
98.8%
ValueCountFrequency (%)
126.6228753128 1
< 0.1%
126.6236325537 2
0.1%
126.623719776 1
< 0.1%
126.6238338609 1
< 0.1%
126.6245207951 1
< 0.1%
126.6246956053 1
< 0.1%
126.6251141119 1
< 0.1%
126.6253916994 1
< 0.1%
126.6254986178 1
< 0.1%
126.6261155061 2
0.1%
ValueCountFrequency (%)
127.645436309 1
 
< 0.1%
127.6379217909 1
 
< 0.1%
127.6372797797 1
 
< 0.1%
127.6367585457 1
 
< 0.1%
127.6363312817 1
 
< 0.1%
127.6358927578 1
 
< 0.1%
127.635666647 3
0.1%
127.6354191999 1
 
< 0.1%
127.6343265848 1
 
< 0.1%
127.6337411212 1
 
< 0.1%

Interactions

2023-12-11T07:49:36.213639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:49:35.974819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:49:36.307375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:49:36.093678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T07:49:46.981407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종명시군구명데이터기준일자정제WGS84위도정제WGS84경도
업종명1.0000.2860.2080.1430.237
시군구명0.2861.0000.9190.9790.967
데이터기준일자0.2080.9191.0000.7340.787
정제WGS84위도0.1430.9790.7341.0000.709
정제WGS84경도0.2370.9670.7870.7091.000
2023-12-11T07:49:47.124523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명업종명
시군구명1.0000.146
업종명0.1461.000
2023-12-11T07:49:47.223965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
정제WGS84위도정제WGS84경도업종명시군구명
정제WGS84위도1.000-0.2010.0850.844
정제WGS84경도-0.2011.0000.1450.789
업종명0.0850.1451.0000.146
시군구명0.8440.7890.1461.000

Missing values

2023-12-11T07:49:36.467265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:49:36.707037image/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.
2023-12-11T07:49:36.904835image/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

업종명상호명시군구명읍면동명소재지도로명주소소재지지번주소상세주소대표전화번호운영시간토요일운영시간일요일운영시간휴무일이미지명데이터기준일자정제WGS84위도정제WGS84경도
0동물약국태양약국하남시신장동경기도 하남시 신장로 126, 동부신협빌딩 1층 (신장동)경기도 하남시 신장동 512-1번지 동부신협빌딩<NA>031-794-588808:30~22:0008:30~22:0008:30~22:00연중무휴423118053089_1.jpeg2022-11-2037.538322127.204307
1동물병원유앤아이동물병원하남시망월동경기도 하남시 미사강변남로 91, 르보아파크 Ⅱ 1층 119,120호 (망월동)경기도 하남시 망월동 1119-1 르보아파크 Ⅱ,120호 119호120호 119호031-994-758210:00~22:0010:00~19:0010:00~19:00연중무휴413118054030_1.jpeg2022-11-1837.560753127.19199
2동물병원데이동물의료센터하남시망월동경기도 하남시 미사강변동로 121, 더랜드시티 1층 101,102호 (망월동)경기도 하남시 망월동 1093-3 더랜드시티, 101호 102호101호,102호0507-1343-758910:00~21:0010:00~21:0010:00~19:00연중무휴413118062029_1.jpeg2022-11-1537.565411127.191393
3동물약국미사온누리약국하남시망월동경기도 하남시 미사강변대로226번길 26, 106호 (망월동, 미사원프라자)경기도 하남시 망월동 970-1번지 106호 미사원프라자<NA>031-794-227008:30~21:0009:00~15:0009:00~14:00연중무휴423118053030_1.jpeg2022-11-1637.569793127.185147
4동물약국큰길약국용인시 처인구삼가동경기도 용인시 처인구 중부대로 1154, 인앤인프라자 (삼가동)경기도 용인시 처인구 삼가동 250-39번지<NA>031-333-288209:00~18:00<NA><NA><NA><NA>2022-09-1537.239334127.173324
5동물약국메디팜용인약국용인시 처인구포곡읍경기도 용인시 처인구 포곡읍 포곡로 109경기도 용인시 처인구 포곡읍 둔전리 152-9번지<NA>031-339-934608:40~20:0008:40~16:5008:40~13:00첫째주일요일423119111002_1.jpeg2022-09-2037.269564127.217554
6동물병원누리동물병원하남시신장동경기도 하남시 대청로 50-1경기도 하남시 신장동 528-5번지101호031-792-490410:00~19:0010:00~18:00<NA>일요일413118055016_1.jpeg2022-11-2037.540402127.21795
7동물병원다나을동물병원하남시망월동경기도 하남시 미사강변동로 100-1, 미사역 파라곤 스퀘어 2층 2002,2002-1,2003호 (망월동)경기도 하남시 망월동 1125 미사역 파라곤 스퀘어, 2002,2002-1,2003호2층 2002,2002-1,2003호031-8027-097500:00~24:0000:00~24:0000:00~24:00연중무휴413118056022_1.jpeg2022-11-1837.564111127.19398
8동물병원현대동물병원하남시신장동경기도 하남시 대청로 33, 현대베스코아 6층 603호 (신장동)경기도 하남시 신장동 523-16층 603호<NA><NA><NA><NA><NA>413118062021_1.jpeg2022-11-2037.5411127.216012
9동물병원한결동물병원하남시망월동경기도 하남시 아리수로 570, 효성헤링턴타워더퍼스트 1층 1090, 1091호 (망월동)경기도 하남시 망월동 1081 효성헤링턴타워더퍼스트<NA>031-8027-808010:00~21:0010:00~19:0010:00~19:00목요일413118061026_1.jpeg2022-11-1537.566815127.190414
업종명상호명시군구명읍면동명소재지도로명주소소재지지번주소상세주소대표전화번호운영시간토요일운영시간일요일운영시간휴무일이미지명데이터기준일자정제WGS84위도정제WGS84경도
3139동물약국매화메디칼약국시흥시매화동경기도 시흥시 매화로 46, 1층 (매화동)경기도 시흥시 매화동 199-2번지 (1층)<NA>031-315-760209:00~21:3009:00~21:0009:00~21:00연중무휴423115055028_1.jpeg2022-11-2137.415507126.814545
3140동물약국월곶온누리약국시흥시월곶동경기도 시흥시 월곶중앙로70번길 3, 118호 (월곶동, 풍림1차아파트주상가동)경기도 시흥시 월곶동 1010-4번지 풍림1차아파트주상가동 118호<NA>031-318-2808<NA><NA><NA><NA>423115069072_1.jpeg2022-11-2337.389612126.738167
3141동물약국신한겨례약국시흥시정왕동경기도 시흥시 옥구상가2길 4, 118호 (정왕동, 로얄빌딩)경기도 시흥시 정왕동 1861-4번지 로얄빌딩 118호<NA>070-7554-544509:00~19:0008:30~13:30<NA>일요일423115062062_1.jpeg2022-11-2237.353916126.723996
3142동물약국공룡약국시흥시정왕동경기도 시흥시 서울대학로278번길 19-13, 2층 (정왕동, 시흥배곧 C1 호반 써밋플레이스)경기도 시흥시 정왕동 2511번지 시흥배곧 C1 호반 써밋플레이스2층031-8042-507609:00~19:0009:00~13:30<NA>일요일423115073005_1.jpeg2022-11-2237.370999126.727016
3143동물약국배꽃온누리약국시흥시정왕동경기도 시흥시 배곧5로 66-7, 더 프리미엄 타워 103호 (정왕동)경기도 시흥시 정왕동 2393 더 프리미엄 타워<NA>031-319-838008:30~19:4009:00~14:00<NA>일요일423115073035_1.jpeg2022-11-2337.382163126.734718
3144동물약국여니약국시흥시정왕동경기도 시흥시 봉우재로 12, 이철신경외과의원 1층 (정왕동)경기도 시흥시 정왕동 1593-5 이철신경외과의원<NA>0507-1355-872509:00~19:3008:30~14:00<NA>일요일423115065066_1.jpeg2022-11-1837.344297126.743243
3145동물병원애니온동물병원시흥시정왕동경기도 시흥시 군자천로 335, 2층 201,202호 (정왕동)경기도 시흥시 정왕동 1729-2<NA>031-499-799110:00~20:00<NA><NA>연중무휴413115061023_1.jpeg2022-11-1837.346702126.734615
3146동물약국건강플러스약국시흥시정왕동경기도 시흥시 희망공원로 269, 홈플러스시화점 (정왕동)경기도 시흥시 정왕동 2166-4번지 홈플러스시화점2층031-496-973610:00~22:3010:00~22:00<NA>2,4주째 토요일+일요일423115061003_1.jpeg2022-11-2237.345208126.725237
3147동물약국굿모닝약국시흥시정왕동경기도 시흥시 정왕대로 220, 305호 (정왕동, 우리메디칼센타)경기도 시흥시 정왕동 1734-5번지 305호<NA>031-319-828608:30~19:3008:30~15:3009:00~16:040연중무휴423115065056_1.jpeg2022-11-1837.345496126.737687
3148동물약국시화제일약국시흥시정왕동경기도 시흥시 옥구상가3길 7-3, 102호 (정왕동)경기도 시흥시 정왕동 1860-6번지 102호<NA>031-319-105808:40~20:0008:40~15:00<NA>일요일423115062055_1.jpeg2022-11-2237.352935126.72421