Overview

Dataset statistics

Number of variables14
Number of observations236
Missing cells344
Missing cells (%)10.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory26.9 KiB
Average record size in memory116.6 B

Variable types

Categorical3
Text4
DateTime2
Boolean1
Numeric3
Unsupported1

Alerts

위생업태명 has constant value ""Constant
총시설규모(㎡) is highly overall correlated with 다중이용업소여부High correlation
WGS84위도 is highly overall correlated with 시군명High correlation
WGS84경도 is highly overall correlated with 시군명High correlation
시군명 is highly overall correlated with WGS84위도 and 1 other fieldsHigh correlation
다중이용업소여부 is highly overall correlated with 총시설규모(㎡)High correlation
폐업일자 has 106 (44.9%) missing valuesMissing
위생업종명 has 236 (100.0%) missing valuesMissing
소재지도로명주소 has unique valuesUnique
소재지지번주소 has unique valuesUnique
위생업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-03 19:21:07.914637
Analysis finished2024-05-03 19:21:14.199614
Duration6.28 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct42
Distinct (%)17.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
남양주시
24 
고양시
17 
의정부시
 
15
용인시
 
14
성남시
 
14
Other values (37)
152 

Length

Max length4
Median length4
Mean length3.7881356
Min length3

Unique

Unique8 ?
Unique (%)3.4%

Sample

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

Common Values

ValueCountFrequency (%)
남양주시 24
 
10.2%
고양시 17
 
7.2%
의정부시 15
 
6.4%
용인시 14
 
5.9%
성남시 14
 
5.9%
화성시 13
 
5.5%
부천시 13
 
5.5%
수원시 10
 
4.2%
하남시 8
 
3.4%
안양시 8
 
3.4%
Other values (32) 100
42.4%

Length

2024-05-03T19:21:14.408483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
남양주시 24
 
10.2%
고양시 21
 
8.9%
부천시 20
 
8.5%
성남시 19
 
8.1%
화성시 19
 
8.1%
의정부시 15
 
6.4%
용인시 14
 
5.9%
수원시 13
 
5.5%
안양시 10
 
4.2%
평택시 10
 
4.2%
Other values (17) 71
30.1%

사업장명
Text

Distinct217
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-05-03T19:21:15.027525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length18
Mean length7.2923729
Min length2

Characters and Unicode

Total characters1721
Distinct characters315
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

Unique200 ?
Unique (%)84.7%

Sample

1st row아이킹
2nd row허니버디
3rd row쁘띠몽드 DMC향동점
4th row퍼플주니어키즈카페 향동점
5th row어울놀이
ValueCountFrequency (%)
키즈카페 15
 
4.7%
릴리펏 7
 
2.2%
점프노리 4
 
1.3%
노리파크 4
 
1.3%
큐리키즈카페 3
 
0.9%
키즈필 3
 
0.9%
위례점 3
 
0.9%
큐리프리미엄키즈카페 3
 
0.9%
카페 3
 
0.9%
동탄점 3
 
0.9%
Other values (247) 271
85.0%
2024-05-03T19:21:16.147248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
키 100
 
5.8%
즈 95
 
5.5%
83
 
4.8%
점 74
 
4.3%
카 68
 
4.0%
리 68
 
4.0%
페 66
 
3.8%
이 44
 
2.6%
스 28
 
1.6%
아 25
 
1.5%
Other values (305) 1070
62.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1539
89.4%
Space Separator 83
 
4.8%
Lowercase Letter 37
 
2.1%
Uppercase Letter 33
 
1.9%
Open Punctuation 12
 
0.7%
Close Punctuation 12
 
0.7%
Other Punctuation 5
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
키 100
 
6.5%
즈 95
 
6.2%
점 74
 
4.8%
카 68
 
4.4%
리 68
 
4.4%
페 66
 
4.3%
이 44
 
2.9%
스 28
 
1.8%
아 25
 
1.6%
프 23
 
1.5%
Other values (268) 948
61.6%
Uppercase Letter
ValueCountFrequency (%)
K 5
15.2%
O 4
12.1%
A 3
 
9.1%
I 2
 
6.1%
D 2
 
6.1%
E 2
 
6.1%
T 2
 
6.1%
L 2
 
6.1%
M 2
 
6.1%
U 1
 
3.0%
Other values (8) 8
24.2%
Lowercase Letter
ValueCountFrequency (%)
e 8
21.6%
i 6
16.2%
t 5
13.5%
n 4
10.8%
c 3
 
8.1%
r 2
 
5.4%
p 2
 
5.4%
a 2
 
5.4%
d 1
 
2.7%
f 1
 
2.7%
Other values (3) 3
 
8.1%
Other Punctuation
ValueCountFrequency (%)
, 3
60.0%
. 1
 
20.0%
' 1
 
20.0%
Space Separator
ValueCountFrequency (%)
83
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1539
89.4%
Common 112
 
6.5%
Latin 70
 
4.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
키 100
 
6.5%
즈 95
 
6.2%
점 74
 
4.8%
카 68
 
4.4%
리 68
 
4.4%
페 66
 
4.3%
이 44
 
2.9%
스 28
 
1.8%
아 25
 
1.6%
프 23
 
1.5%
Other values (268) 948
61.6%
Latin
ValueCountFrequency (%)
e 8
 
11.4%
i 6
 
8.6%
t 5
 
7.1%
K 5
 
7.1%
O 4
 
5.7%
n 4
 
5.7%
c 3
 
4.3%
A 3
 
4.3%
I 2
 
2.9%
D 2
 
2.9%
Other values (21) 28
40.0%
Common
ValueCountFrequency (%)
83
74.1%
( 12
 
10.7%
) 12
 
10.7%
, 3
 
2.7%
. 1
 
0.9%
' 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1539
89.4%
ASCII 182
 
10.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
키 100
 
6.5%
즈 95
 
6.2%
점 74
 
4.8%
카 68
 
4.4%
리 68
 
4.4%
페 66
 
4.3%
이 44
 
2.9%
스 28
 
1.8%
아 25
 
1.6%
프 23
 
1.5%
Other values (268) 948
61.6%
ASCII
ValueCountFrequency (%)
83
45.6%
( 12
 
6.6%
) 12
 
6.6%
e 8
 
4.4%
i 6
 
3.3%
t 5
 
2.7%
K 5
 
2.7%
O 4
 
2.2%
n 4
 
2.2%
c 3
 
1.6%
Other values (27) 40
22.0%

소재지우편번호
Text

Distinct176
Distinct (%)74.6%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-05-03T19:21:17.329301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0042373
Min length5

Characters and Unicode

Total characters1417
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

Unique138 ?
Unique (%)58.5%

Sample

1st row412-743
2nd row412-040
3rd row412-180
4th row412-180
5th row412070
ValueCountFrequency (%)
465150 6
 
2.5%
472938 5
 
2.1%
412070 4
 
1.7%
472120 4
 
1.7%
480090 4
 
1.7%
14592 4
 
1.7%
446908 3
 
1.3%
445160 3
 
1.3%
445150 3
 
1.3%
487823 3
 
1.3%
Other values (166) 197
83.5%
2024-05-03T19:21:18.928755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 327
23.1%
0 196
13.8%
1 184
13.0%
8 171
12.1%
2 121
 
8.5%
5 105
 
7.4%
3 90
 
6.4%
6 69
 
4.9%
7 67
 
4.7%
9 52
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1382
97.5%
Dash Punctuation 35
 
2.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 327
23.7%
0 196
14.2%
1 184
13.3%
8 171
12.4%
2 121
 
8.8%
5 105
 
7.6%
3 90
 
6.5%
6 69
 
5.0%
7 67
 
4.8%
9 52
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1417
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 327
23.1%
0 196
13.8%
1 184
13.0%
8 171
12.1%
2 121
 
8.5%
5 105
 
7.4%
3 90
 
6.4%
6 69
 
4.9%
7 67
 
4.7%
9 52
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1417
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 327
23.1%
0 196
13.8%
1 184
13.0%
8 171
12.1%
2 121
 
8.5%
5 105
 
7.4%
3 90
 
6.4%
6 69
 
4.9%
7 67
 
4.7%
9 52
 
3.7%

소재지도로명주소
Text

UNIQUE 

Distinct236
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-05-03T19:21:19.429363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length52
Mean length39.381356
Min length15

Characters and Unicode

Total characters9294
Distinct characters352
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

Unique236 ?
Unique (%)100.0%

Sample

1st row경기도 고양시 덕양구 화신로272번길 58, 영프라자빌딩 603(일부),604(일부)호 (화정동)
2nd row경기도 고양시 덕양구 원흥3로 16, KB중앙타워 306호 (원흥동)
3rd row경기도 고양시 덕양구 향기로 119, Urban place 9층 901(일부)호 (향동동)
4th row경기도 고양시 덕양구 꽃마을로 64, DMC스타허브플러스 5층 506(일부),507호 (향동동)
5th row경기도 고양시 덕양구 권율대로 893, 6층 606,607호 (신원동, 파스텔시티)
ValueCountFrequency (%)
경기도 236
 
12.6%
일부호 35
 
1.9%
3층 25
 
1.3%
2층 24
 
1.3%
남양주시 24
 
1.3%
고양시 21
 
1.1%
부천시 20
 
1.1%
일부 20
 
1.1%
4층 20
 
1.1%
성남시 19
 
1.0%
Other values (873) 1423
76.2%
2024-05-03T19:21:20.369766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1635
 
17.6%
1 331
 
3.6%
, 329
 
3.5%
동 286
 
3.1%
시 254
 
2.7%
2 252
 
2.7%
경 248
 
2.7%
도 247
 
2.7%
기 245
 
2.6%
0 241
 
2.6%
Other values (342) 5226
56.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5086
54.7%
Decimal Number 1661
 
17.9%
Space Separator 1635
 
17.6%
Other Punctuation 332
 
3.6%
Close Punctuation 228
 
2.5%
Open Punctuation 228
 
2.5%
Uppercase Letter 59
 
0.6%
Dash Punctuation 49
 
0.5%
Lowercase Letter 9
 
0.1%
Math Symbol 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 286
 
5.6%
시 254
 
5.0%
경 248
 
4.9%
도 247
 
4.9%
기 245
 
4.8%
로 230
 
4.5%
호 224
 
4.4%
층 166
 
3.3%
부 146
 
2.9%
일 119
 
2.3%
Other values (295) 2921
57.4%
Uppercase Letter
ValueCountFrequency (%)
B 14
23.7%
A 8
13.6%
D 8
13.6%
C 3
 
5.1%
K 2
 
3.4%
U 2
 
3.4%
Z 2
 
3.4%
L 2
 
3.4%
I 2
 
3.4%
T 2
 
3.4%
Other values (11) 14
23.7%
Decimal Number
ValueCountFrequency (%)
1 331
19.9%
2 252
15.2%
0 241
14.5%
3 177
10.7%
5 148
8.9%
4 138
8.3%
6 109
 
6.6%
9 95
 
5.7%
7 94
 
5.7%
8 76
 
4.6%
Lowercase Letter
ValueCountFrequency (%)
a 2
22.2%
c 1
11.1%
e 1
11.1%
r 1
11.1%
b 1
11.1%
n 1
11.1%
p 1
11.1%
l 1
11.1%
Other Punctuation
ValueCountFrequency (%)
, 329
99.1%
. 3
 
0.9%
Space Separator
ValueCountFrequency (%)
1635
100.0%
Close Punctuation
ValueCountFrequency (%)
) 228
100.0%
Open Punctuation
ValueCountFrequency (%)
( 228
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 49
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5086
54.7%
Common 4139
44.5%
Latin 69
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 286
 
5.6%
시 254
 
5.0%
경 248
 
4.9%
도 247
 
4.9%
기 245
 
4.8%
로 230
 
4.5%
호 224
 
4.4%
층 166
 
3.3%
부 146
 
2.9%
일 119
 
2.3%
Other values (295) 2921
57.4%
Latin
ValueCountFrequency (%)
B 14
20.3%
A 8
 
11.6%
D 8
 
11.6%
C 3
 
4.3%
K 2
 
2.9%
U 2
 
2.9%
Z 2
 
2.9%
a 2
 
2.9%
L 2
 
2.9%
I 2
 
2.9%
Other values (20) 24
34.8%
Common
ValueCountFrequency (%)
1635
39.5%
1 331
 
8.0%
, 329
 
7.9%
2 252
 
6.1%
0 241
 
5.8%
) 228
 
5.5%
( 228
 
5.5%
3 177
 
4.3%
5 148
 
3.6%
4 138
 
3.3%
Other values (7) 432
 
10.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5086
54.7%
ASCII 4207
45.3%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1635
38.9%
1 331
 
7.9%
, 329
 
7.8%
2 252
 
6.0%
0 241
 
5.7%
) 228
 
5.4%
( 228
 
5.4%
3 177
 
4.2%
5 148
 
3.5%
4 138
 
3.3%
Other values (36) 500
 
11.9%
Hangul
ValueCountFrequency (%)
동 286
 
5.6%
시 254
 
5.0%
경 248
 
4.9%
도 247
 
4.9%
기 245
 
4.8%
로 230
 
4.5%
호 224
 
4.4%
층 166
 
3.3%
부 146
 
2.9%
일 119
 
2.3%
Other values (295) 2921
57.4%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
100.0%

소재지지번주소
Text

UNIQUE 

Distinct236
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-05-03T19:21:20.876848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length44
Mean length29.622881
Min length13

Characters and Unicode

Total characters6991
Distinct characters311
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique236 ?
Unique (%)100.0%

Sample

1st row경기도 고양시 덕양구 화정동 972 영프라자빌딩 603,4호
2nd row경기도 고양시 덕양구 원흥동 631 KB중앙타워
3rd row경기도 고양시 덕양구 향동동 525 Urban place
4th row경기도 고양시 덕양구 향동동 523 DMC스타허브플러스
5th row경기도 고양시 덕양구 신원동 620-1번지 파스텔시티 6층 606호,607호
ValueCountFrequency (%)
경기도 236
 
16.0%
남양주시 24
 
1.6%
일부 23
 
1.6%
고양시 21
 
1.4%
부천시 20
 
1.4%
성남시 19
 
1.3%
화성시 19
 
1.3%
의정부시 15
 
1.0%
용인시 14
 
0.9%
수원시 13
 
0.9%
Other values (695) 1070
72.6%
2024-05-03T19:21:21.850504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1284
 
18.4%
1 280
 
4.0%
동 257
 
3.7%
시 251
 
3.6%
도 245
 
3.5%
기 242
 
3.5%
경 237
 
3.4%
0 202
 
2.9%
2 191
 
2.7%
- 169
 
2.4%
Other values (301) 3633
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3961
56.7%
Decimal Number 1459
 
20.9%
Space Separator 1284
 
18.4%
Dash Punctuation 169
 
2.4%
Other Punctuation 48
 
0.7%
Uppercase Letter 45
 
0.6%
Lowercase Letter 9
 
0.1%
Open Punctuation 6
 
0.1%
Close Punctuation 6
 
0.1%
Math Symbol 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 257
 
6.5%
시 251
 
6.3%
도 245
 
6.2%
기 242
 
6.1%
경 237
 
6.0%
호 150
 
3.8%
부 107
 
2.7%
지 107
 
2.7%
구 105
 
2.7%
양 90
 
2.3%
Other values (257) 2170
54.8%
Uppercase Letter
ValueCountFrequency (%)
B 10
22.2%
A 7
15.6%
D 3
 
6.7%
F 2
 
4.4%
Z 2
 
4.4%
L 2
 
4.4%
E 2
 
4.4%
T 2
 
4.4%
U 2
 
4.4%
I 2
 
4.4%
Other values (9) 11
24.4%
Decimal Number
ValueCountFrequency (%)
1 280
19.2%
0 202
13.8%
2 191
13.1%
3 161
11.0%
4 128
8.8%
5 125
8.6%
6 114
7.8%
7 100
 
6.9%
9 83
 
5.7%
8 75
 
5.1%
Lowercase Letter
ValueCountFrequency (%)
a 2
22.2%
n 1
11.1%
p 1
11.1%
l 1
11.1%
c 1
11.1%
e 1
11.1%
r 1
11.1%
b 1
11.1%
Other Punctuation
ValueCountFrequency (%)
, 47
97.9%
. 1
 
2.1%
Space Separator
ValueCountFrequency (%)
1284
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 169
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3961
56.7%
Common 2976
42.6%
Latin 54
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 257
 
6.5%
시 251
 
6.3%
도 245
 
6.2%
기 242
 
6.1%
경 237
 
6.0%
호 150
 
3.8%
부 107
 
2.7%
지 107
 
2.7%
구 105
 
2.7%
양 90
 
2.3%
Other values (257) 2170
54.8%
Latin
ValueCountFrequency (%)
B 10
18.5%
A 7
 
13.0%
D 3
 
5.6%
F 2
 
3.7%
Z 2
 
3.7%
L 2
 
3.7%
E 2
 
3.7%
T 2
 
3.7%
U 2
 
3.7%
I 2
 
3.7%
Other values (17) 20
37.0%
Common
ValueCountFrequency (%)
1284
43.1%
1 280
 
9.4%
0 202
 
6.8%
2 191
 
6.4%
- 169
 
5.7%
3 161
 
5.4%
4 128
 
4.3%
5 125
 
4.2%
6 114
 
3.8%
7 100
 
3.4%
Other values (7) 222
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3961
56.7%
ASCII 3030
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1284
42.4%
1 280
 
9.2%
0 202
 
6.7%
2 191
 
6.3%
- 169
 
5.6%
3 161
 
5.3%
4 128
 
4.2%
5 125
 
4.1%
6 114
 
3.8%
7 100
 
3.3%
Other values (34) 276
 
9.1%
Hangul
ValueCountFrequency (%)
동 257
 
6.5%
시 251
 
6.3%
도 245
 
6.2%
기 242
 
6.1%
경 237
 
6.0%
호 150
 
3.8%
부 107
 
2.7%
지 107
 
2.7%
구 105
 
2.7%
양 90
 
2.3%
Other values (257) 2170
54.8%

인허가일자
Date

Distinct219
Distinct (%)92.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
Minimum2003-10-09 00:00:00
Maximum2024-03-15 00:00:00
2024-05-03T19:21:22.329926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T19:21:22.725072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

영업상태명
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
폐업
130 
영업
106 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 130
55.1%
영업 106
44.9%

Length

2024-05-03T19:21:23.130678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T19:21:23.431384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 130
55.1%
영업 106
44.9%

폐업일자
Date

MISSING 

Distinct120
Distinct (%)92.3%
Missing106
Missing (%)44.9%
Memory size2.0 KiB
Minimum2016-02-19 00:00:00
Maximum2024-04-12 00:00:00
2024-05-03T19:21:23.792193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T19:21:24.147908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

다중이용업소여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size368.0 B
False
154 
True
82 
ValueCountFrequency (%)
False 154
65.3%
True 82
34.7%
2024-05-03T19:21:24.631300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

총시설규모(㎡)
Real number (ℝ)

HIGH CORRELATION 

Distinct222
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean147.0711
Minimum0
Maximum936.84
Zeros1
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-05-03T19:21:25.063617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile20.525
Q159.8025
median96.54
Q3191.9075
95-th percentile394.01
Maximum936.84
Range936.84
Interquartile range (IQR)132.105

Descriptive statistics

Standard deviation136.49639
Coefficient of variation (CV)0.92809794
Kurtosis6.4084086
Mean147.0711
Median Absolute Deviation (MAD)53.905
Skewness2.1442503
Sum34708.78
Variance18631.263
MonotonicityNot monotonic
2024-05-03T19:21:25.816394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
86.0 3
 
1.3%
34.14 2
 
0.8%
110.29 2
 
0.8%
141.78 2
 
0.8%
32.45 2
 
0.8%
23.85 2
 
0.8%
33.0 2
 
0.8%
20.7 2
 
0.8%
71.2 2
 
0.8%
93.6 2
 
0.8%
Other values (212) 215
91.1%
ValueCountFrequency (%)
0.0 1
0.4%
6.6 1
0.4%
8.68 1
0.4%
8.75 1
0.4%
11.76 1
0.4%
11.79 1
0.4%
12.3 2
0.8%
14.56 1
0.4%
16.9 1
0.4%
19.83 1
0.4%
ValueCountFrequency (%)
936.84 1
0.4%
716.0 1
0.4%
604.12 1
0.4%
589.67 1
0.4%
586.0 1
0.4%
570.91 1
0.4%
504.49 1
0.4%
489.0 1
0.4%
450.93 2
0.8%
444.89 1
0.4%

위생업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing236
Missing (%)100.0%
Memory size2.2 KiB

위생업태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
키즈카페
236 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
키즈카페 236
100.0%

Length

2024-05-03T19:21:26.460246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T19:21:26.786648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
키즈카페 236
100.0%

WGS84위도
Real number (ℝ)

HIGH CORRELATION 

Distinct219
Distinct (%)93.2%
Missing1
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean37.476362
Minimum36.964361
Maximum38.089255
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-05-03T19:21:27.242429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.964361
5-th percentile37.133206
Q137.30898
median37.480113
Q337.651814
95-th percentile37.795551
Maximum38.089255
Range1.1248946
Interquartile range (IQR)0.34283334

Descriptive statistics

Standard deviation0.21969339
Coefficient of variation (CV)0.0058621856
Kurtosis-0.43965501
Mean37.476362
Median Absolute Deviation (MAD)0.1716209
Skewness-0.095952798
Sum8806.945
Variance0.048265185
MonotonicityNot monotonic
2024-05-03T19:21:28.369350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.6456553139 3
 
1.3%
37.501495818 2
 
0.8%
37.4999603732 2
 
0.8%
37.4624324108 2
 
0.8%
37.8299244941 2
 
0.8%
37.499869098 2
 
0.8%
37.5699983838 2
 
0.8%
37.4988667424 2
 
0.8%
37.5041752477 2
 
0.8%
37.6642958362 2
 
0.8%
Other values (209) 214
90.7%
ValueCountFrequency (%)
36.9643606434 1
0.4%
36.978432598 1
0.4%
36.9789601868 1
0.4%
36.9885657311 1
0.4%
36.9919006082 1
0.4%
36.9988829632 1
0.4%
37.0029451667 1
0.4%
37.0171925457 1
0.4%
37.0196774573 1
0.4%
37.0429652095 1
0.4%
ValueCountFrequency (%)
38.0892552378 1
0.4%
38.0255929624 1
0.4%
37.947512396 1
0.4%
37.896282721 1
0.4%
37.8953792309 1
0.4%
37.8926667488 1
0.4%
37.8660639994 1
0.4%
37.8299244941 2
0.8%
37.8297904095 1
0.4%
37.8221338348 1
0.4%

WGS84경도
Real number (ℝ)

HIGH CORRELATION 

Distinct219
Distinct (%)93.2%
Missing1
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean127.01523
Minimum126.59877
Maximum127.66105
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-05-03T19:21:28.902293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.59877
5-th percentile126.73057
Q1126.83547
median127.06863
Q3127.13947
95-th percentile127.2813
Maximum127.66105
Range1.0622724
Interquartile range (IQR)0.30399913

Descriptive statistics

Standard deviation0.19500738
Coefficient of variation (CV)0.001535307
Kurtosis0.39324895
Mean127.01523
Median Absolute Deviation (MAD)0.12438343
Skewness0.25780938
Sum29848.579
Variance0.038027878
MonotonicityNot monotonic
2024-05-03T19:21:29.475452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.2347259018 3
 
1.3%
126.7736873538 2
 
0.8%
126.7775826702 2
 
0.8%
126.8130653042 2
 
0.8%
127.1402607857 2
 
0.8%
126.7442661118 2
 
0.8%
127.1843307566 2
 
0.8%
126.745384894 2
 
0.8%
126.7566905848 2
 
0.8%
126.8899869662 2
 
0.8%
Other values (209) 214
90.7%
ValueCountFrequency (%)
126.5987730066 1
0.4%
126.6232141562 1
0.4%
126.6251888697 1
0.4%
126.6254986178 1
0.4%
126.6795904732 1
0.4%
126.6806530345 1
0.4%
126.6823996574 1
0.4%
126.6833513683 1
0.4%
126.6962394881 1
0.4%
126.7065143185 1
0.4%
ValueCountFrequency (%)
127.6610453985 1
0.4%
127.6381504115 1
0.4%
127.6379372926 1
0.4%
127.6261694852 1
0.4%
127.4544641966 1
0.4%
127.453342229 1
0.4%
127.3124856043 1
0.4%
127.3043227507 1
0.4%
127.3032864143 1
0.4%
127.3021478341 1
0.4%

Interactions

2024-05-03T19:21:11.685997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T19:21:09.948817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T19:21:10.793322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T19:21:11.937143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T19:21:10.186501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T19:21:11.113100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T19:21:12.372348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T19:21:10.457022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T19:21:11.437438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-03T19:21:29.862952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명영업상태명다중이용업소여부총시설규모(㎡)WGS84위도WGS84경도
시군명1.0000.3030.1840.0000.9630.958
영업상태명0.3031.0000.0000.0250.0960.022
다중이용업소여부0.1840.0001.0000.5740.1720.209
총시설규모(㎡)0.0000.0250.5741.0000.0000.000
WGS84위도0.9630.0960.1720.0001.0000.552
WGS84경도0.9580.0220.2090.0000.5521.000
2024-05-03T19:21:30.203030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영업상태명시군명다중이용업소여부
영업상태명1.0000.2180.000
시군명0.2181.0000.131
다중이용업소여부0.0000.1311.000
2024-05-03T19:21:30.509990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
총시설규모(㎡)WGS84위도WGS84경도시군명영업상태명다중이용업소여부
총시설규모(㎡)1.0000.1760.2100.0000.0220.568
WGS84위도0.1761.0000.0030.7160.0710.129
WGS84경도0.2100.0031.0000.7050.0180.205
시군명0.0000.7160.7051.0000.2180.131
영업상태명0.0220.0710.0180.2181.0000.000
다중이용업소여부0.5680.1290.2050.1310.0001.000

Missing values

2024-05-03T19:21:12.764199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-03T19:21:13.623610image/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.
2024-05-03T19:21:14.024977image/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

시군명사업장명소재지우편번호소재지도로명주소소재지지번주소인허가일자영업상태명폐업일자다중이용업소여부총시설규모(㎡)위생업종명위생업태명WGS84위도WGS84경도
0고양시아이킹412-743경기도 고양시 덕양구 화신로272번길 58, 영프라자빌딩 603(일부),604(일부)호 (화정동)경기도 고양시 덕양구 화정동 972 영프라자빌딩 603,4호2024-02-23영업<NA>N68.42<NA>키즈카페37.633662126.832108
1고양시허니버디412-040경기도 고양시 덕양구 원흥3로 16, KB중앙타워 306호 (원흥동)경기도 고양시 덕양구 원흥동 631 KB중앙타워2024-01-12영업<NA>Y114.78<NA>키즈카페37.649236126.874841
2고양시쁘띠몽드 DMC향동점412-180경기도 고양시 덕양구 향기로 119, Urban place 9층 901(일부)호 (향동동)경기도 고양시 덕양구 향동동 525 Urban place2023-03-24영업<NA>Y250.0<NA>키즈카페37.600385126.893998
3고양시퍼플주니어키즈카페 향동점412-180경기도 고양시 덕양구 꽃마을로 64, DMC스타허브플러스 5층 506(일부),507호 (향동동)경기도 고양시 덕양구 향동동 523 DMC스타허브플러스2023-06-16영업<NA>N79.76<NA>키즈카페37.600544126.893419
4고양시어울놀이412070경기도 고양시 덕양구 권율대로 893, 6층 606,607호 (신원동, 파스텔시티)경기도 고양시 덕양구 신원동 620-1번지 파스텔시티 6층 606호,607호20170331영업<NA>Y347.0<NA>키즈카페37.663673126.889867
5고양시잭슨나인스피자411320경기도 고양시 일산서구 일현로 97-11, B106(일부)호 (탄현동, 일산 위브더제니스)경기도 고양시 일산서구 탄현동 1640 일산 위브더제니스, B106호일부20181022영업<NA>Y586.0<NA>키즈카페37.693475126.762824
6고양시Andante 안단테410330경기도 고양시 일산동구 애니골길 97, 고양국제청소년문화센터 글로벌센터동 3층 일부호 (풍동)경기도 고양시 일산동구 풍동 1399 고양국제청소년문화센터 글로벌센터 3층 일부20101011영업<NA>N66.98<NA>키즈카페37.67675126.792689
7고양시와글아이일산차움라이프센터410837경기도 고양시 일산동구 중앙로 1205, 차움 라이프센터 B101(일부)호 (장항동)경기도 고양시 일산동구 장항동 88920200922영업<NA>Y193.0<NA>키즈카페37.654123126.77574
8고양시키키카페412070경기도 고양시 덕양구 신원로 40-38, 서원프라자 3층 302(일부)호 (신원동)경기도 고양시 덕양구 신원동 624 서원프라자 3층 302(일부)호20170410폐업20220203N40.0<NA>키즈카페37.664296126.889987
9고양시키키카페412070경기도 고양시 덕양구 신원로 40-38, 서원프라자 3층 301호 (신원동)경기도 고양시 덕양구 신원동 624 서원프라자 3층 301호20170410폐업20220203N90.4<NA>키즈카페37.664296126.889987
시군명사업장명소재지우편번호소재지도로명주소소재지지번주소인허가일자영업상태명폐업일자다중이용업소여부총시설규모(㎡)위생업종명위생업태명WGS84위도WGS84경도
226화성시키즈고점핑클럽445938경기도 화성시 향남읍 상신하길로298번길 7-27, 향남 시티프라자 1동 7층 701호 일부호경기도 화성시 향남읍 하길리 1470-5 향남 시티프라자 1동 7층 701호 일부호20211126영업<NA>N11.79<NA>키즈카페37.114638126.912726
227화성시샤를롯데키즈카페445851경기도 화성시 남양읍 시청로 64, 일영프라자 1동 4층 401호 일부호경기도 화성시 남양읍 남양리 2294-8 일영프라자 1동 4층 401호 일부호20211115영업<NA>N26.4<NA>키즈카페37.203997126.821984
228화성시드로잉월445390경기도 화성시 경기대로 1078-28, 1층 (진안동)경기도 화성시 진안동 481-920140129영업<NA>N29.8<NA>키즈카페37.211408127.033255
229화성시리틀봉봉키즈카페445851경기도 화성시 남양읍 역골동로 122, 3층 일부경기도 화성시 남양읍 남양리 2230-620200309영업<NA>Y6.6<NA>키즈카페37.210737126.831075
230화성시디아망445160경기도 화성시 동탄중심상가1길 33, 동탄미래도프라자 8층 801,802호의 일부호 (반송동)경기도 화성시 반송동 104-3 동탄미래도프라자20190917폐업20200929N70.0<NA>키즈카페37.201107127.071947
231화성시슈슈봉봉 동탄점445130경기도 화성시 동탄순환대로29길 60, 301일부호 (영천동, 강산프라자)경기도 화성시 영천동 675-4 301일부호20160726폐업20200423Y138.95<NA>키즈카페37.204525127.108778
232화성시릴리펏동탄반송점445160경기도 화성시 노작로1길 22, 1층 (반송동)경기도 화성시 반송동 124-7 1층20150528폐업20200401N171.9<NA>키즈카페37.196153127.080516
233화성시베베가든445160경기도 화성시 동탄지성로 94, 하나로오피스텔 2층 203~205호 (반송동)경기도 화성시 반송동 42-5 하나로오피스텔 2층 203~20520181002폐업20220805Y192.77<NA>키즈카페37.207688127.064686
234화성시베베살롱445150경기도 화성시 동탄대로 469-12, 판매시설동 2층 2006,2007호 (오산동, 동탄역 린스트라우스)경기도 화성시 오산동 산 88-13 동탄역 린스트라우스 2층 2006, 2007호 판매시설동20190604폐업20220120Y120.6<NA>키즈카페37.196552127.096718
235화성시윙키즈445150경기도 화성시 동탄대로 537, 라스플로레스 5층 507호 (오산동)경기도 화성시 오산동 967-150 라스플로레스 507호20180802폐업20220726Y121.0<NA>키즈카페37.202226127.097927