Overview

Dataset statistics

Number of variables16
Number of observations3279
Missing cells4439
Missing cells (%)8.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory416.4 KiB
Average record size in memory130.0 B

Variable types

Categorical2
Text11
DateTime1
Numeric2

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
지번주소 has 45 (1.4%) missing valuesMissing
상세주소 has 1501 (45.8%) missing valuesMissing
대표전화번호 has 142 (4.3%) missing valuesMissing
운영시간 has 363 (11.1%) missing valuesMissing
토요일운영시간 has 464 (14.2%) missing valuesMissing
일요일운영시간 has 882 (26.9%) missing valuesMissing
휴무일 has 679 (20.7%) missing valuesMissing
이미지명 has 195 (5.9%) missing valuesMissing
데이터기준일자 has 164 (5.0%) missing valuesMissing

Reproduction

Analysis started2023-12-10 22:34:31.566363
Analysis finished2023-12-10 22:34:34.297926
Duration2.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.7 KiB
동물미용업
2124 
동물위탁관리업
1155 

Length

Max length7
Median length5
Mean length5.7044831
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row동물미용업
2nd row동물미용업
3rd row동물미용업
4th row동물미용업
5th row동물위탁관리업

Common Values

ValueCountFrequency (%)
동물미용업 2124
64.8%
동물위탁관리업 1155
35.2%

Length

2023-12-11T07:34:34.362884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:34:34.480167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물미용업 2124
64.8%
동물위탁관리업 1155
35.2%

상호명
Text

Distinct2388
Distinct (%)72.8%
Missing0
Missing (%)0.0%
Memory size25.7 KiB
2023-12-11T07:34:34.719290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length6.452272
Min length2

Characters and Unicode

Total characters21157
Distinct characters712
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1617 ?
Unique (%)49.3%

Sample

1st row아띠펫살롱
2nd row애견용품 할인마트(버블멍 송내점)
3rd row샤도캣
4th row도그런살롱
5th row양주24시해든동물의료센터
ValueCountFrequency (%)
동물병원 123
 
2.8%
펫 55
 
1.2%
강아지 46
 
1.0%
24시 29
 
0.7%
미용실 25
 
0.6%
dog 24
 
0.5%
애견 24
 
0.5%
펫살롱 23
 
0.5%
그루밍 20
 
0.4%
애견미용 19
 
0.4%
Other values (2594) 4067
91.3%
2023-12-11T07:34:35.107173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1178
 
5.6%
동 842
 
4.0%
물 782
 
3.7%
원 729
 
3.4%
병 667
 
3.2%
펫 516
 
2.4%
이 446
 
2.1%
스 385
 
1.8%
아 363
 
1.7%
견 338
 
1.6%
Other values (702) 14911
70.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17852
84.4%
Space Separator 1178
 
5.6%
Uppercase Letter 791
 
3.7%
Lowercase Letter 724
 
3.4%
Decimal Number 207
 
1.0%
Close Punctuation 145
 
0.7%
Open Punctuation 144
 
0.7%
Other Punctuation 104
 
0.5%
Dash Punctuation 6
 
< 0.1%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 842
 
4.7%
물 782
 
4.4%
원 729
 
4.1%
병 667
 
3.7%
펫 516
 
2.9%
이 446
 
2.5%
스 385
 
2.2%
아 363
 
2.0%
견 338
 
1.9%
애 335
 
1.9%
Other values (625) 12449
69.7%
Uppercase Letter
ValueCountFrequency (%)
O 104
13.1%
D 64
 
8.1%
G 62
 
7.8%
E 60
 
7.6%
T 59
 
7.5%
P 48
 
6.1%
A 44
 
5.6%
S 39
 
4.9%
M 38
 
4.8%
N 32
 
4.0%
Other values (16) 241
30.5%
Lowercase Letter
ValueCountFrequency (%)
o 101
14.0%
e 82
11.3%
g 53
 
7.3%
i 49
 
6.8%
a 47
 
6.5%
t 45
 
6.2%
s 43
 
5.9%
n 41
 
5.7%
h 32
 
4.4%
r 32
 
4.4%
Other values (13) 199
27.5%
Decimal Number
ValueCountFrequency (%)
2 72
34.8%
4 61
29.5%
5 15
 
7.2%
3 14
 
6.8%
1 14
 
6.8%
0 14
 
6.8%
6 7
 
3.4%
9 4
 
1.9%
7 3
 
1.4%
8 3
 
1.4%
Other Punctuation
ValueCountFrequency (%)
, 30
28.8%
& 29
27.9%
. 17
16.3%
' 10
 
9.6%
# 9
 
8.7%
? 5
 
4.8%
/ 2
 
1.9%
: 1
 
1.0%
· 1
 
1.0%
Close Punctuation
ValueCountFrequency (%)
) 142
97.9%
] 3
 
2.1%
Open Punctuation
ValueCountFrequency (%)
( 141
97.9%
[ 3
 
2.1%
Math Symbol
ValueCountFrequency (%)
+ 3
60.0%
~ 2
40.0%
Space Separator
ValueCountFrequency (%)
1178
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17850
84.4%
Common 1789
 
8.5%
Latin 1515
 
7.2%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 842
 
4.7%
물 782
 
4.4%
원 729
 
4.1%
병 667
 
3.7%
펫 516
 
2.9%
이 446
 
2.5%
스 385
 
2.2%
아 363
 
2.0%
견 338
 
1.9%
애 335
 
1.9%
Other values (624) 12447
69.7%
Latin
ValueCountFrequency (%)
O 104
 
6.9%
o 101
 
6.7%
e 82
 
5.4%
D 64
 
4.2%
G 62
 
4.1%
E 60
 
4.0%
T 59
 
3.9%
g 53
 
3.5%
i 49
 
3.2%
P 48
 
3.2%
Other values (39) 833
55.0%
Common
ValueCountFrequency (%)
1178
65.8%
) 142
 
7.9%
( 141
 
7.9%
2 72
 
4.0%
4 61
 
3.4%
, 30
 
1.7%
& 29
 
1.6%
. 17
 
1.0%
5 15
 
0.8%
3 14
 
0.8%
Other values (17) 90
 
5.0%
Han
ValueCountFrequency (%)
愛 2
66.7%
犬 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17849
84.4%
ASCII 3303
 
15.6%
CJK 3
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1178
35.7%
) 142
 
4.3%
( 141
 
4.3%
O 104
 
3.1%
o 101
 
3.1%
e 82
 
2.5%
2 72
 
2.2%
D 64
 
1.9%
G 62
 
1.9%
4 61
 
1.8%
Other values (65) 1296
39.2%
Hangul
ValueCountFrequency (%)
동 842
 
4.7%
물 782
 
4.4%
원 729
 
4.1%
병 667
 
3.7%
펫 516
 
2.9%
이 446
 
2.5%
스 385
 
2.2%
아 363
 
2.0%
견 338
 
1.9%
애 335
 
1.9%
Other values (623) 12446
69.7%
CJK
ValueCountFrequency (%)
愛 2
66.7%
犬 1
33.3%
None
ValueCountFrequency (%)
㈜ 1
50.0%
· 1
50.0%

시군구명
Categorical

HIGH CORRELATION 

Distinct42
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size25.7 KiB
화성시
239 
부천시
 
199
의정부시
 
186
평택시
 
170
남양주시
 
168
Other values (37)
2317 

Length

Max length8
Median length3
Mean length4.6197011
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row성남시 분당구
2nd row부천시
3rd row안산시 단원구
4th row광주시
5th row양주시

Common Values

ValueCountFrequency (%)
화성시 239
 
7.3%
부천시 199
 
6.1%
의정부시 186
 
5.7%
평택시 170
 
5.2%
남양주시 168
 
5.1%
파주시 134
 
4.1%
시흥시 133
 
4.1%
용인시 기흥구 130
 
4.0%
성남시 분당구 128
 
3.9%
광주시 110
 
3.4%
Other values (32) 1682
51.3%

Length

2023-12-11T07:34:35.240062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
수원시 320
 
7.1%
용인시 282
 
6.3%
화성시 239
 
5.3%
성남시 225
 
5.0%
부천시 199
 
4.4%
의정부시 186
 
4.1%
평택시 170
 
3.8%
고양시 169
 
3.8%
남양주시 168
 
3.7%
파주시 134
 
3.0%
Other values (38) 2393
53.4%

읍면동명
Text

Distinct419
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Memory size25.7 KiB
2023-12-11T07:34:35.521980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length2.9740775
Min length2

Characters and Unicode

Total characters9752
Distinct characters214
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

Unique69 ?
Unique (%)2.1%

Sample

1st row대장동
2nd row송내동
3rd row초지동
4th row오포읍
5th row광사동
ValueCountFrequency (%)
중동 69
 
2.1%
망월동 62
 
1.9%
의정부동 46
 
1.4%
민락동 40
 
1.2%
다산동 40
 
1.2%
정왕동 37
 
1.1%
별내동 34
 
1.0%
이의동 33
 
1.0%
향남읍 32
 
1.0%
상동 32
 
1.0%
Other values (409) 2854
87.0%
2023-12-11T07:34:35.955450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 2948
30.2%
읍 364
 
3.7%
정 231
 
2.4%
산 205
 
2.1%
곡 161
 
1.7%
양 117
 
1.2%
원 116
 
1.2%
신 112
 
1.1%
중 105
 
1.1%
장 104
 
1.1%
Other values (204) 5289
54.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9740
99.9%
Decimal Number 12
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 2948
30.3%
읍 364
 
3.7%
정 231
 
2.4%
산 205
 
2.1%
곡 161
 
1.7%
양 117
 
1.2%
원 116
 
1.2%
신 112
 
1.1%
중 105
 
1.1%
장 104
 
1.1%
Other values (201) 5277
54.2%
Decimal Number
ValueCountFrequency (%)
3 6
50.0%
2 5
41.7%
1 1
 
8.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9740
99.9%
Common 12
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 2948
30.3%
읍 364
 
3.7%
정 231
 
2.4%
산 205
 
2.1%
곡 161
 
1.7%
양 117
 
1.2%
원 116
 
1.2%
신 112
 
1.1%
중 105
 
1.1%
장 104
 
1.1%
Other values (201) 5277
54.2%
Common
ValueCountFrequency (%)
3 6
50.0%
2 5
41.7%
1 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9740
99.9%
ASCII 12
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 2948
30.3%
읍 364
 
3.7%
정 231
 
2.4%
산 205
 
2.1%
곡 161
 
1.7%
양 117
 
1.2%
원 116
 
1.2%
신 112
 
1.1%
중 105
 
1.1%
장 104
 
1.1%
Other values (201) 5277
54.2%
ASCII
ValueCountFrequency (%)
3 6
50.0%
2 5
41.7%
1 1
 
8.3%

도로명주소
Text

Distinct2737
Distinct (%)83.5%
Missing0
Missing (%)0.0%
Memory size25.7 KiB
2023-12-11T07:34:36.216935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length90
Median length57
Mean length27.84477
Min length13

Characters and Unicode

Total characters91303
Distinct characters631
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2204 ?
Unique (%)67.2%

Sample

1st row경기도 성남시 분당구 판교대장로5길 20 상가112호 (대장동)
2nd row경기도 부천시 송내대로30번길 21 (송내동)
3rd row경기도 안산시 단원구 광덕1로 80 1층 샤도캣
4th row경기도 광주시 오포읍 새말길 203-4
5th row경기도 양주시 부흥로 1938 오션타워 2층
ValueCountFrequency (%)
경기도 2865
 
14.2%
1층 673
 
3.3%
경기 421
 
2.1%
수원시 320
 
1.6%
용인시 282
 
1.4%
2층 275
 
1.4%
화성시 239
 
1.2%
성남시 225
 
1.1%
부천시 199
 
1.0%
의정부시 187
 
0.9%
Other values (4427) 14548
71.9%
2023-12-11T07:34:36.679805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16977
 
18.6%
1 4319
 
4.7%
시 3519
 
3.9%
기 3465
 
3.8%
경 3430
 
3.8%
로 3010
 
3.3%
도 2994
 
3.3%
2 2630
 
2.9%
동 2050
 
2.2%
0 1667
 
1.8%
Other values (621) 47242
51.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 53444
58.5%
Space Separator 16977
 
18.6%
Decimal Number 16271
 
17.8%
Open Punctuation 1223
 
1.3%
Close Punctuation 1222
 
1.3%
Other Punctuation 1043
 
1.1%
Dash Punctuation 793
 
0.9%
Uppercase Letter 242
 
0.3%
Lowercase Letter 80
 
0.1%
Math Symbol 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 3519
 
6.6%
기 3465
 
6.5%
경 3430
 
6.4%
로 3010
 
5.6%
도 2994
 
5.6%
동 2050
 
3.8%
구 1343
 
2.5%
길 1321
 
2.5%
층 1231
 
2.3%
호 1056
 
2.0%
Other values (557) 30025
56.2%
Uppercase Letter
ValueCountFrequency (%)
B 57
23.6%
A 35
14.5%
C 18
 
7.4%
D 17
 
7.0%
S 13
 
5.4%
E 11
 
4.5%
K 11
 
4.5%
F 10
 
4.1%
J 9
 
3.7%
T 9
 
3.7%
Other values (12) 52
21.5%
Lowercase Letter
ValueCountFrequency (%)
a 10
12.5%
e 9
11.2%
m 8
10.0%
c 7
8.8%
t 7
8.8%
b 5
 
6.2%
i 5
 
6.2%
u 4
 
5.0%
p 4
 
5.0%
s 4
 
5.0%
Other values (8) 17
21.2%
Decimal Number
ValueCountFrequency (%)
1 4319
26.5%
2 2630
16.2%
0 1667
 
10.2%
3 1600
 
9.8%
4 1287
 
7.9%
5 1216
 
7.5%
7 960
 
5.9%
6 949
 
5.8%
8 864
 
5.3%
9 779
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 1027
98.5%
. 8
 
0.8%
& 4
 
0.4%
# 2
 
0.2%
/ 1
 
0.1%
? 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1222
99.9%
[ 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1221
99.9%
] 1
 
0.1%
Space Separator
ValueCountFrequency (%)
16977
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 793
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 53443
58.5%
Common 37536
41.1%
Latin 323
 
0.4%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 3519
 
6.6%
기 3465
 
6.5%
경 3430
 
6.4%
로 3010
 
5.6%
도 2994
 
5.6%
동 2050
 
3.8%
구 1343
 
2.5%
길 1321
 
2.5%
층 1231
 
2.3%
호 1056
 
2.0%
Other values (556) 30024
56.2%
Latin
ValueCountFrequency (%)
B 57
17.6%
A 35
 
10.8%
C 18
 
5.6%
D 17
 
5.3%
S 13
 
4.0%
E 11
 
3.4%
K 11
 
3.4%
F 10
 
3.1%
a 10
 
3.1%
e 9
 
2.8%
Other values (31) 132
40.9%
Common
ValueCountFrequency (%)
16977
45.2%
1 4319
 
11.5%
2 2630
 
7.0%
0 1667
 
4.4%
3 1600
 
4.3%
4 1287
 
3.4%
( 1222
 
3.3%
) 1221
 
3.3%
5 1216
 
3.2%
, 1027
 
2.7%
Other values (13) 4370
 
11.6%
Han
ValueCountFrequency (%)
愛 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 53443
58.5%
ASCII 37858
41.5%
CJK 1
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16977
44.8%
1 4319
 
11.4%
2 2630
 
6.9%
0 1667
 
4.4%
3 1600
 
4.2%
4 1287
 
3.4%
( 1222
 
3.2%
) 1221
 
3.2%
5 1216
 
3.2%
, 1027
 
2.7%
Other values (53) 4692
 
12.4%
Hangul
ValueCountFrequency (%)
시 3519
 
6.6%
기 3465
 
6.5%
경 3430
 
6.4%
로 3010
 
5.6%
도 2994
 
5.6%
동 2050
 
3.8%
구 1343
 
2.5%
길 1321
 
2.5%
층 1231
 
2.3%
호 1056
 
2.0%
Other values (556) 30024
56.2%
CJK
ValueCountFrequency (%)
愛 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

지번주소
Text

MISSING 

Distinct2571
Distinct (%)79.5%
Missing45
Missing (%)1.4%
Memory size25.7 KiB
2023-12-11T07:34:36.977367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length50
Mean length22.111317
Min length14

Characters and Unicode

Total characters71508
Distinct characters507
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1929 ?
Unique (%)59.6%

Sample

1st row경기도 성남시 분당구 대장동 299번지
2nd row경기도 부천시 송내동 299-9
3rd row경기도 안산시 단원구 초지동 731번지
4th row경기도 광주시 오포읍 신현리 538번지
5th row경기도 양주시 광사동 652-1 오션타워 2층
ValueCountFrequency (%)
경기도 3230
 
20.1%
수원시 320
 
2.0%
용인시 282
 
1.8%
화성시 239
 
1.5%
성남시 225
 
1.4%
부천시 199
 
1.2%
의정부시 187
 
1.2%
평택시 170
 
1.1%
고양시 169
 
1.1%
남양주시 168
 
1.0%
Other values (3674) 10854
67.7%
2023-12-11T07:34:37.435827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12824
 
17.9%
기 3396
 
4.7%
시 3385
 
4.7%
도 3316
 
4.6%
경 3261
 
4.6%
1 3202
 
4.5%
동 3175
 
4.4%
- 2420
 
3.4%
2 1658
 
2.3%
지 1458
 
2.0%
Other values (497) 33413
46.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 41473
58.0%
Decimal Number 14396
 
20.1%
Space Separator 12824
 
17.9%
Dash Punctuation 2420
 
3.4%
Uppercase Letter 95
 
0.1%
Close Punctuation 81
 
0.1%
Open Punctuation 80
 
0.1%
Other Punctuation 78
 
0.1%
Lowercase Letter 54
 
0.1%
Math Symbol 5
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 3396
 
8.2%
시 3385
 
8.2%
도 3316
 
8.0%
경 3261
 
7.9%
동 3175
 
7.7%
지 1458
 
3.5%
구 1323
 
3.2%
번 1225
 
3.0%
양 744
 
1.8%
남 611
 
1.5%
Other values (440) 19579
47.2%
Uppercase Letter
ValueCountFrequency (%)
B 18
18.9%
C 13
13.7%
S 10
10.5%
A 8
8.4%
K 7
 
7.4%
T 6
 
6.3%
D 6
 
6.3%
L 5
 
5.3%
O 3
 
3.2%
E 3
 
3.2%
Other values (9) 16
16.8%
Lowercase Letter
ValueCountFrequency (%)
e 8
14.8%
m 6
11.1%
c 5
9.3%
a 4
7.4%
t 4
7.4%
i 4
7.4%
u 4
7.4%
p 4
7.4%
b 3
 
5.6%
l 3
 
5.6%
Other values (6) 9
16.7%
Decimal Number
ValueCountFrequency (%)
1 3202
22.2%
2 1658
11.5%
3 1449
10.1%
4 1315
9.1%
6 1233
 
8.6%
5 1216
 
8.4%
0 1205
 
8.4%
7 1174
 
8.2%
8 1034
 
7.2%
9 910
 
6.3%
Other Punctuation
ValueCountFrequency (%)
, 76
97.4%
. 1
 
1.3%
& 1
 
1.3%
Close Punctuation
ValueCountFrequency (%)
) 80
98.8%
] 1
 
1.2%
Open Punctuation
ValueCountFrequency (%)
( 79
98.8%
[ 1
 
1.2%
Space Separator
ValueCountFrequency (%)
12824
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2420
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 41472
58.0%
Common 29885
41.8%
Latin 150
 
0.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 3396
 
8.2%
시 3385
 
8.2%
도 3316
 
8.0%
경 3261
 
7.9%
동 3175
 
7.7%
지 1458
 
3.5%
구 1323
 
3.2%
번 1225
 
3.0%
양 744
 
1.8%
남 611
 
1.5%
Other values (439) 19578
47.2%
Latin
ValueCountFrequency (%)
B 18
 
12.0%
C 13
 
8.7%
S 10
 
6.7%
A 8
 
5.3%
e 8
 
5.3%
K 7
 
4.7%
m 6
 
4.0%
T 6
 
4.0%
D 6
 
4.0%
c 5
 
3.3%
Other values (26) 63
42.0%
Common
ValueCountFrequency (%)
12824
42.9%
1 3202
 
10.7%
- 2420
 
8.1%
2 1658
 
5.5%
3 1449
 
4.8%
4 1315
 
4.4%
6 1233
 
4.1%
5 1216
 
4.1%
0 1205
 
4.0%
7 1174
 
3.9%
Other values (11) 2189
 
7.3%
Han
ValueCountFrequency (%)
愛 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 41472
58.0%
ASCII 30034
42.0%
CJK 1
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12824
42.7%
1 3202
 
10.7%
- 2420
 
8.1%
2 1658
 
5.5%
3 1449
 
4.8%
4 1315
 
4.4%
6 1233
 
4.1%
5 1216
 
4.0%
0 1205
 
4.0%
7 1174
 
3.9%
Other values (46) 2338
 
7.8%
Hangul
ValueCountFrequency (%)
기 3396
 
8.2%
시 3385
 
8.2%
도 3316
 
8.0%
경 3261
 
7.9%
동 3175
 
7.7%
지 1458
 
3.5%
구 1323
 
3.2%
번 1225
 
3.0%
양 744
 
1.8%
남 611
 
1.5%
Other values (439) 19578
47.2%
CJK
ValueCountFrequency (%)
愛 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

상세주소
Text

MISSING 

Distinct111
Distinct (%)6.2%
Missing1501
Missing (%)45.8%
Memory size25.7 KiB
2023-12-11T07:34:37.683639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length2
Mean length2.4488189
Min length2

Characters and Unicode

Total characters4354
Distinct characters141
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

Unique72 ?
Unique (%)4.0%

Sample

1st row1층
2nd row1층
3rd row2층
4th row1층
5th row102호
ValueCountFrequency (%)
1층 1247
66.5%
2층 274
 
14.6%
3층 69
 
3.7%
4층 32
 
1.7%
5층 17
 
0.9%
101호 16
 
0.9%
102호 12
 
0.6%
6층 9
 
0.5%
104호 8
 
0.4%
103호 7
 
0.4%
Other values (126) 183
 
9.8%
2023-12-11T07:34:38.048276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
층 1697
39.0%
1 1406
32.3%
2 347
 
8.0%
101
 
2.3%
3 101
 
2.3%
호 99
 
2.3%
0 77
 
1.8%
4 55
 
1.3%
5 27
 
0.6%
동 19
 
0.4%
Other values (131) 425
 
9.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2173
49.9%
Decimal Number 2040
46.9%
Space Separator 101
 
2.3%
Uppercase Letter 19
 
0.4%
Other Punctuation 15
 
0.3%
Dash Punctuation 3
 
0.1%
Math Symbol 2
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
층 1697
78.1%
호 99
 
4.6%
동 19
 
0.9%
지 18
 
0.8%
가 15
 
0.7%
상 14
 
0.6%
하 12
 
0.6%
트 12
 
0.6%
이 11
 
0.5%
라 11
 
0.5%
Other values (110) 265
 
12.2%
Decimal Number
ValueCountFrequency (%)
1 1406
68.9%
2 347
 
17.0%
3 101
 
5.0%
0 77
 
3.8%
4 55
 
2.7%
5 27
 
1.3%
6 15
 
0.7%
9 5
 
0.2%
7 4
 
0.2%
8 3
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
B 11
57.9%
A 4
 
21.1%
D 2
 
10.5%
J 1
 
5.3%
F 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 14
93.3%
! 1
 
6.7%
Space Separator
ValueCountFrequency (%)
101
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
k 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2173
49.9%
Common 2161
49.6%
Latin 20
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
층 1697
78.1%
호 99
 
4.6%
동 19
 
0.9%
지 18
 
0.8%
가 15
 
0.7%
상 14
 
0.6%
하 12
 
0.6%
트 12
 
0.6%
이 11
 
0.5%
라 11
 
0.5%
Other values (110) 265
 
12.2%
Common
ValueCountFrequency (%)
1 1406
65.1%
2 347
 
16.1%
101
 
4.7%
3 101
 
4.7%
0 77
 
3.6%
4 55
 
2.5%
5 27
 
1.2%
6 15
 
0.7%
, 14
 
0.6%
9 5
 
0.2%
Other values (5) 13
 
0.6%
Latin
ValueCountFrequency (%)
B 11
55.0%
A 4
 
20.0%
D 2
 
10.0%
k 1
 
5.0%
J 1
 
5.0%
F 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2181
50.1%
Hangul 2173
49.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
층 1697
78.1%
호 99
 
4.6%
동 19
 
0.9%
지 18
 
0.8%
가 15
 
0.7%
상 14
 
0.6%
하 12
 
0.6%
트 12
 
0.6%
이 11
 
0.5%
라 11
 
0.5%
Other values (110) 265
 
12.2%
ASCII
ValueCountFrequency (%)
1 1406
64.5%
2 347
 
15.9%
101
 
4.6%
3 101
 
4.6%
0 77
 
3.5%
4 55
 
2.5%
5 27
 
1.2%
6 15
 
0.7%
, 14
 
0.6%
B 11
 
0.5%
Other values (11) 27
 
1.2%

대표전화번호
Text

MISSING 

Distinct2115
Distinct (%)67.4%
Missing142
Missing (%)4.3%
Memory size25.7 KiB
2023-12-11T07:34:38.218733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length12
Mean length12.780682
Min length9

Characters and Unicode

Total characters40093
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1461 ?
Unique (%)46.6%

Sample

1st row031-608-8577
2nd row0507-1360-0528
3rd row0507-1406-4343
4th row031-8022-8059
5th row0507-1436-9112
ValueCountFrequency (%)
358
 
11.4%
032-346-0988 4
 
0.1%
031-634-0059 4
 
0.1%
031-982-0889 4
 
0.1%
0507-1365-7790 3
 
0.1%
031-262-8700 3
 
0.1%
031-837-0075 3
 
0.1%
031-822-7268 3
 
0.1%
031-892-7775 3
 
0.1%
031-637-4020 3
 
0.1%
Other values (2105) 2749
87.6%
2023-12-11T07:34:38.495769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 6265
15.6%
0 5659
14.1%
1 4261
10.6%
3 4105
10.2%
* 3949
9.8%
7 3418
8.5%
5 3276
8.2%
2 2235
 
5.6%
8 1925
 
4.8%
4 1867
 
4.7%
Other values (3) 3133
7.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29878
74.5%
Dash Punctuation 6265
 
15.6%
Other Punctuation 3949
 
9.8%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5659
18.9%
1 4261
14.3%
3 4105
13.7%
7 3418
11.4%
5 3276
11.0%
2 2235
 
7.5%
8 1925
 
6.4%
4 1867
 
6.2%
9 1667
 
5.6%
6 1465
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 6265
100.0%
Other Punctuation
ValueCountFrequency (%)
* 3949
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 40093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 6265
15.6%
0 5659
14.1%
1 4261
10.6%
3 4105
10.2%
* 3949
9.8%
7 3418
8.5%
5 3276
8.2%
2 2235
 
5.6%
8 1925
 
4.8%
4 1867
 
4.7%
Other values (3) 3133
7.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 40093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 6265
15.6%
0 5659
14.1%
1 4261
10.6%
3 4105
10.2%
* 3949
9.8%
7 3418
8.5%
5 3276
8.2%
2 2235
 
5.6%
8 1925
 
4.8%
4 1867
 
4.7%
Other values (3) 3133
7.8%

운영시간
Text

MISSING 

Distinct201
Distinct (%)6.9%
Missing363
Missing (%)11.1%
Memory size25.7 KiB
2023-12-11T07:34:38.684149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length86
Median length11
Mean length11.166667
Min length3

Characters and Unicode

Total characters32562
Distinct characters50
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

Unique73 ?
Unique (%)2.5%

Sample

1st row10:00~21:00
2nd row10:00~18:00
3rd row10:00~19:00
4th row10:00~22:00
5th row10:00~19:00
ValueCountFrequency (%)
10:00~19:00 610
20.7%
10:00~20:00 501
17.0%
10:00~18:00 137
 
4.6%
00:00~24:00 131
 
4.4%
10:00~21:00 127
 
4.3%
10:00~22:00 107
 
3.6%
10:00~19:30 71
 
2.4%
09:00~19:00 70
 
2.4%
09:00~20:00 68
 
2.3%
09:30~19:00 54
 
1.8%
Other values (202) 1075
36.4%
2023-12-11T07:34:38.985893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 14667
45.0%
: 5865
 
18.0%
1 3949
 
12.1%
~ 2926
 
9.0%
2 1837
 
5.6%
9 1522
 
4.7%
3 762
 
2.3%
8 415
 
1.3%
4 171
 
0.5%
7 92
 
0.3%
Other values (40) 356
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 23448
72.0%
Other Punctuation 5896
 
18.1%
Math Symbol 2933
 
9.0%
Other Letter 207
 
0.6%
Space Separator 38
 
0.1%
Close Punctuation 18
 
0.1%
Open Punctuation 18
 
0.1%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 35
16.9%
요 34
16.4%
정 16
 
7.7%
음 16
 
7.7%
없 16
 
7.7%
보 16
 
7.7%
수 11
 
5.3%
화 8
 
3.9%
월 6
 
2.9%
금 6
 
2.9%
Other values (21) 43
20.8%
Decimal Number
ValueCountFrequency (%)
0 14667
62.6%
1 3949
 
16.8%
2 1837
 
7.8%
9 1522
 
6.5%
3 762
 
3.2%
8 415
 
1.8%
4 171
 
0.7%
7 92
 
0.4%
6 19
 
0.1%
5 14
 
0.1%
Other Punctuation
ValueCountFrequency (%)
: 5865
99.5%
/ 21
 
0.4%
, 10
 
0.2%
Math Symbol
ValueCountFrequency (%)
~ 2926
99.8%
+ 7
 
0.2%
Space Separator
ValueCountFrequency (%)
38
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32355
99.4%
Hangul 207
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 35
16.9%
요 34
16.4%
정 16
 
7.7%
음 16
 
7.7%
없 16
 
7.7%
보 16
 
7.7%
수 11
 
5.3%
화 8
 
3.9%
월 6
 
2.9%
금 6
 
2.9%
Other values (21) 43
20.8%
Common
ValueCountFrequency (%)
0 14667
45.3%
: 5865
 
18.1%
1 3949
 
12.2%
~ 2926
 
9.0%
2 1837
 
5.7%
9 1522
 
4.7%
3 762
 
2.4%
8 415
 
1.3%
4 171
 
0.5%
7 92
 
0.3%
Other values (9) 149
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32355
99.4%
Hangul 207
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 14667
45.3%
: 5865
 
18.1%
1 3949
 
12.2%
~ 2926
 
9.0%
2 1837
 
5.7%
9 1522
 
4.7%
3 762
 
2.4%
8 415
 
1.3%
4 171
 
0.5%
7 92
 
0.3%
Other values (9) 149
 
0.5%
Hangul
ValueCountFrequency (%)
일 35
16.9%
요 34
16.4%
정 16
 
7.7%
음 16
 
7.7%
없 16
 
7.7%
보 16
 
7.7%
수 11
 
5.3%
화 8
 
3.9%
월 6
 
2.9%
금 6
 
2.9%
Other values (21) 43
20.8%

토요일운영시간
Text

MISSING 

Distinct193
Distinct (%)6.9%
Missing464
Missing (%)14.2%
Memory size25.7 KiB
2023-12-11T07:34:39.224409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length11
Mean length10.827709
Min length2

Characters and Unicode

Total characters30480
Distinct characters42
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

Unique57 ?
Unique (%)2.0%

Sample

1st row10:00~21:00
2nd row10:00~18:00
3rd row10:00~19:00
4th row10:00~22:00
5th row10:00~19:00
ValueCountFrequency (%)
10:00~19:00 577
20.4%
10:00~20:00 392
 
13.9%
10:00~18:00 167
 
5.9%
00:00~24:00 128
 
4.5%
10:00~21:00 112
 
4.0%
10:00~22:00 108
 
3.8%
10:00~17:00 76
 
2.7%
11:00~20:00 63
 
2.2%
09:00~19:00 55
 
1.9%
09:00~18:00 53
 
1.9%
Other values (187) 1096
38.8%
2023-12-11T07:34:39.559975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 13632
44.7%
: 5503
18.1%
1 3958
 
13.0%
~ 2745
 
9.0%
2 1584
 
5.2%
9 1343
 
4.4%
3 644
 
2.1%
8 413
 
1.4%
4 174
 
0.6%
7 167
 
0.5%
Other values (32) 317
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 22000
72.2%
Other Punctuation 5506
 
18.1%
Math Symbol 2745
 
9.0%
Other Letter 205
 
0.7%
Space Separator 14
 
< 0.1%
Dash Punctuation 4
 
< 0.1%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
휴 42
20.5%
무 41
20.0%
정 22
10.7%
보 22
10.7%
없 22
10.7%
음 22
10.7%
일 4
 
2.0%
제 3
 
1.5%
예 3
 
1.5%
약 3
 
1.5%
Other values (15) 21
10.2%
Decimal Number
ValueCountFrequency (%)
0 13632
62.0%
1 3958
 
18.0%
2 1584
 
7.2%
9 1343
 
6.1%
3 644
 
2.9%
8 413
 
1.9%
4 174
 
0.8%
7 167
 
0.8%
6 54
 
0.2%
5 31
 
0.1%
Other Punctuation
ValueCountFrequency (%)
: 5503
99.9%
/ 3
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 2745
100.0%
Space Separator
ValueCountFrequency (%)
14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 30275
99.3%
Hangul 205
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
휴 42
20.5%
무 41
20.0%
정 22
10.7%
보 22
10.7%
없 22
10.7%
음 22
10.7%
일 4
 
2.0%
제 3
 
1.5%
예 3
 
1.5%
약 3
 
1.5%
Other values (15) 21
10.2%
Common
ValueCountFrequency (%)
0 13632
45.0%
: 5503
18.2%
1 3958
 
13.1%
~ 2745
 
9.1%
2 1584
 
5.2%
9 1343
 
4.4%
3 644
 
2.1%
8 413
 
1.4%
4 174
 
0.6%
7 167
 
0.6%
Other values (7) 112
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 30275
99.3%
Hangul 205
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 13632
45.0%
: 5503
18.2%
1 3958
 
13.1%
~ 2745
 
9.1%
2 1584
 
5.2%
9 1343
 
4.4%
3 644
 
2.1%
8 413
 
1.4%
4 174
 
0.6%
7 167
 
0.6%
Other values (7) 112
 
0.4%
Hangul
ValueCountFrequency (%)
휴 42
20.5%
무 41
20.0%
정 22
10.7%
보 22
10.7%
없 22
10.7%
음 22
10.7%
일 4
 
2.0%
제 3
 
1.5%
예 3
 
1.5%
약 3
 
1.5%
Other values (15) 21
10.2%

일요일운영시간
Text

MISSING 

Distinct184
Distinct (%)7.7%
Missing882
Missing (%)26.9%
Memory size25.7 KiB
2023-12-11T07:34:39.785963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length11
Mean length9.5114727
Min length2

Characters and Unicode

Total characters22799
Distinct characters42
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

Unique66 ?
Unique (%)2.8%

Sample

1st row10:00~21:00
2nd row10:00~18:00
3rd row10:00~19:00
4th row10:00~22:00
5th row10:00~19:00
ValueCountFrequency (%)
10:00~19:00 370
15.4%
휴무 350
14.5%
10:00~20:00 301
 
12.5%
00:00~24:00 128
 
5.3%
10:00~22:00 107
 
4.4%
10:00~21:00 101
 
4.2%
10:00~18:00 96
 
4.0%
11:00~20:00 58
 
2.4%
09:00~19:00 39
 
1.6%
휴무일 38
 
1.6%
Other values (178) 820
34.1%
2023-12-11T07:34:40.104822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 9922
43.5%
: 3976
17.4%
1 2751
 
12.1%
~ 1983
 
8.7%
2 1429
 
6.3%
9 823
 
3.6%
3 431
 
1.9%
휴 390
 
1.7%
무 389
 
1.7%
8 260
 
1.1%
Other values (32) 445
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 15897
69.7%
Other Punctuation 3978
 
17.4%
Math Symbol 1983
 
8.7%
Other Letter 919
 
4.0%
Space Separator 14
 
0.1%
Dash Punctuation 4
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
휴 390
42.4%
무 389
42.3%
일 38
 
4.1%
정 18
 
2.0%
보 18
 
2.0%
없 18
 
2.0%
음 18
 
2.0%
견 3
 
0.3%
애 3
 
0.3%
제 3
 
0.3%
Other values (15) 21
 
2.3%
Decimal Number
ValueCountFrequency (%)
0 9922
62.4%
1 2751
 
17.3%
2 1429
 
9.0%
9 823
 
5.2%
3 431
 
2.7%
8 260
 
1.6%
4 160
 
1.0%
7 84
 
0.5%
6 20
 
0.1%
5 17
 
0.1%
Other Punctuation
ValueCountFrequency (%)
: 3976
99.9%
/ 2
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 1983
100.0%
Space Separator
ValueCountFrequency (%)
14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 21880
96.0%
Hangul 919
 
4.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
휴 390
42.4%
무 389
42.3%
일 38
 
4.1%
정 18
 
2.0%
보 18
 
2.0%
없 18
 
2.0%
음 18
 
2.0%
견 3
 
0.3%
애 3
 
0.3%
제 3
 
0.3%
Other values (15) 21
 
2.3%
Common
ValueCountFrequency (%)
0 9922
45.3%
: 3976
18.2%
1 2751
 
12.6%
~ 1983
 
9.1%
2 1429
 
6.5%
9 823
 
3.8%
3 431
 
2.0%
8 260
 
1.2%
4 160
 
0.7%
7 84
 
0.4%
Other values (7) 61
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21880
96.0%
Hangul 919
 
4.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9922
45.3%
: 3976
18.2%
1 2751
 
12.6%
~ 1983
 
9.1%
2 1429
 
6.5%
9 823
 
3.8%
3 431
 
2.0%
8 260
 
1.2%
4 160
 
0.7%
7 84
 
0.4%
Other values (7) 61
 
0.3%
Hangul
ValueCountFrequency (%)
휴 390
42.4%
무 389
42.3%
일 38
 
4.1%
정 18
 
2.0%
보 18
 
2.0%
없 18
 
2.0%
음 18
 
2.0%
견 3
 
0.3%
애 3
 
0.3%
제 3
 
0.3%
Other values (15) 21
 
2.3%

휴무일
Text

MISSING 

Distinct132
Distinct (%)5.1%
Missing679
Missing (%)20.7%
Memory size25.7 KiB
2023-12-11T07:34:40.280362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length26
Mean length3.9765385
Min length1

Characters and Unicode

Total characters10339
Distinct characters85
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

Unique73 ?
Unique (%)2.8%

Sample

1st row연중무휴
2nd row연중무휴
3rd row월요일
4th row연중무휴
5th row토요일
ValueCountFrequency (%)
연중무휴 938
33.6%
일요일 744
26.6%
월요일 242
 
8.7%
수요일 165
 
5.9%
화요일 126
 
4.5%
목요일 72
 
2.6%
토요일,일요일 41
 
1.5%
매주 39
 
1.4%
토요일 37
 
1.3%
일요일,공휴일 31
 
1.1%
Other values (108) 359
 
12.8%
2023-12-11T07:34:40.554421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
일 2746
26.6%
요 1751
16.9%
휴 1060
 
10.3%
무 990
 
9.6%
연 946
 
9.1%
중 939
 
9.1%
월 309
 
3.0%
, 255
 
2.5%
수 201
 
1.9%
194
 
1.9%
Other values (75) 948
 
9.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9804
94.8%
Other Punctuation 262
 
2.5%
Space Separator 194
 
1.9%
Decimal Number 41
 
0.4%
Math Symbol 32
 
0.3%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 2746
28.0%
요 1751
17.9%
휴 1060
 
10.8%
무 990
 
10.1%
연 946
 
9.6%
중 939
 
9.6%
월 309
 
3.2%
수 201
 
2.1%
화 155
 
1.6%
토 102
 
1.0%
Other values (63) 605
 
6.2%
Decimal Number
ValueCountFrequency (%)
4 15
36.6%
2 13
31.7%
1 6
 
14.6%
3 5
 
12.2%
5 2
 
4.9%
Other Punctuation
ValueCountFrequency (%)
, 255
97.3%
/ 7
 
2.7%
Space Separator
ValueCountFrequency (%)
194
100.0%
Math Symbol
ValueCountFrequency (%)
+ 32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9804
94.8%
Common 535
 
5.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 2746
28.0%
요 1751
17.9%
휴 1060
 
10.8%
무 990
 
10.1%
연 946
 
9.6%
중 939
 
9.6%
월 309
 
3.2%
수 201
 
2.1%
화 155
 
1.6%
토 102
 
1.0%
Other values (63) 605
 
6.2%
Common
ValueCountFrequency (%)
, 255
47.7%
194
36.3%
+ 32
 
6.0%
4 15
 
2.8%
2 13
 
2.4%
/ 7
 
1.3%
1 6
 
1.1%
3 5
 
0.9%
( 2
 
0.4%
) 2
 
0.4%
Other values (2) 4
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9804
94.8%
ASCII 535
 
5.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
일 2746
28.0%
요 1751
17.9%
휴 1060
 
10.8%
무 990
 
10.1%
연 946
 
9.6%
중 939
 
9.6%
월 309
 
3.2%
수 201
 
2.1%
화 155
 
1.6%
토 102
 
1.0%
Other values (63) 605
 
6.2%
ASCII
ValueCountFrequency (%)
, 255
47.7%
194
36.3%
+ 32
 
6.0%
4 15
 
2.8%
2 13
 
2.4%
/ 7
 
1.3%
1 6
 
1.1%
3 5
 
0.9%
( 2
 
0.4%
) 2
 
0.4%
Other values (2) 4
 
0.7%

이미지명
Text

MISSING 

Distinct3084
Distinct (%)100.0%
Missing195
Missing (%)5.9%
Memory size25.7 KiB
2023-12-11T07:34:40.959480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length19
Mean length19
Min length19

Characters and Unicode

Total characters58596
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

Unique3084 ?
Unique (%)100.0%

Sample

1st row313102368070_1.jpeg
2nd row313105092031_1.jpeg
3rd row313109266002_1.jpeg
4th row313125011041_1.jpeg
5th row323126052010_1.jpeg
ValueCountFrequency (%)
313115051004_1.jpeg 1
 
< 0.1%
323101162017_1.jpeg 1
 
< 0.1%
323101460023_1.jpeg 1
 
< 0.1%
313105091085_1.jpeg 1
 
< 0.1%
313110353024_1.jpeg 1
 
< 0.1%
313110459022_1.jpeg 1
 
< 0.1%
313113057029_1.jpeg 1
 
< 0.1%
323124061027_1.jpeg 1
 
< 0.1%
313109156010_1.jpeg 1
 
< 0.1%
323102260008_1.jpeg 1
 
< 0.1%
Other values (3074) 3074
99.7%
2023-12-11T07:34:41.275978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 11747
20.0%
3 8028
13.7%
0 7528
12.8%
2 3825
 
6.5%
_ 3084
 
5.3%
. 3084
 
5.3%
j 3084
 
5.3%
p 3084
 
5.3%
e 3084
 
5.3%
g 3084
 
5.3%
Other values (6) 8964
15.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 40092
68.4%
Lowercase Letter 12336
 
21.1%
Connector Punctuation 3084
 
5.3%
Other Punctuation 3084
 
5.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 11747
29.3%
3 8028
20.0%
0 7528
18.8%
2 3825
 
9.5%
5 2585
 
6.4%
6 1868
 
4.7%
4 1431
 
3.6%
7 1152
 
2.9%
9 1111
 
2.8%
8 817
 
2.0%
Lowercase Letter
ValueCountFrequency (%)
j 3084
25.0%
p 3084
25.0%
e 3084
25.0%
g 3084
25.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3084
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3084
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 46260
78.9%
Latin 12336
 
21.1%

Most frequent character per script

Common
ValueCountFrequency (%)
1 11747
25.4%
3 8028
17.4%
0 7528
16.3%
2 3825
 
8.3%
_ 3084
 
6.7%
. 3084
 
6.7%
5 2585
 
5.6%
6 1868
 
4.0%
4 1431
 
3.1%
7 1152
 
2.5%
Other values (2) 1928
 
4.2%
Latin
ValueCountFrequency (%)
j 3084
25.0%
p 3084
25.0%
e 3084
25.0%
g 3084
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 58596
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 11747
20.0%
3 8028
13.7%
0 7528
12.8%
2 3825
 
6.5%
_ 3084
 
5.3%
. 3084
 
5.3%
j 3084
 
5.3%
p 3084
 
5.3%
e 3084
 
5.3%
g 3084
 
5.3%
Other values (6) 8964
15.3%

데이터기준일자
Date

MISSING 

Distinct62
Distinct (%)2.0%
Missing164
Missing (%)5.0%
Memory size25.7 KiB
Minimum2022-08-22 00:00:00
Maximum2022-12-05 00:00:00
2023-12-11T07:34:41.400695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:41.521692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

정제WGS84위도
Real number (ℝ)

HIGH CORRELATION 

Distinct2365
Distinct (%)72.2%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean37.431688
Minimum36.945267
Maximum38.024717
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.9 KiB
2023-12-11T07:34:41.664699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.945267
5-th percentile37.056005
Q137.277924
median37.394855
Q337.630248
95-th percentile37.771888
Maximum38.024717
Range1.0794502
Interquartile range (IQR)0.35232361

Descriptive statistics

Standard deviation0.21814913
Coefficient of variation (CV)0.0058279266
Kurtosis-0.67449705
Mean37.431688
Median Absolute Deviation (MAD)0.14585081
Skewness0.094009179
Sum122663.64
Variance0.047589042
MonotonicityNot monotonic
2023-12-11T07:34:41.830005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.6420211573 7
 
0.2%
37.2819999319 5
 
0.2%
37.4722444139 5
 
0.2%
37.280481128 4
 
0.1%
37.3529327465 4
 
0.1%
37.7263814344 4
 
0.1%
37.7440495125 4
 
0.1%
37.2920216148 4
 
0.1%
37.1705909561 4
 
0.1%
37.6455920539 4
 
0.1%
Other values (2355) 3232
98.6%
ValueCountFrequency (%)
36.945267027 1
< 0.1%
36.949688379 2
0.1%
36.9588141013 2
0.1%
36.9600868167 2
0.1%
36.9607691862 2
0.1%
36.9610431455 2
0.1%
36.9613544294 2
0.1%
36.9633008546 2
0.1%
36.9643339061 2
0.1%
36.9696405301 1
< 0.1%
ValueCountFrequency (%)
38.0247171958 2
0.1%
38.0243953279 1
< 0.1%
37.9585627081 2
0.1%
37.9161725948 1
< 0.1%
37.9144110604 2
0.1%
37.9123211675 2
0.1%
37.9085067223 1
< 0.1%
37.9060347278 1
< 0.1%
37.9046052329 1
< 0.1%
37.9024859765 1
< 0.1%

정제WGS84경도
Real number (ℝ)

HIGH CORRELATION 

Distinct2365
Distinct (%)72.2%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean127.01455
Minimum126.62099
Maximum127.69697
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.9 KiB
2023-12-11T07:34:41.999343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.62099
5-th percentile126.73416
Q1126.8559
median127.05321
Q3127.12627
95-th percentile127.27377
Maximum127.69697
Range1.0759879
Interquartile range (IQR)0.27037269

Descriptive statistics

Standard deviation0.18193468
Coefficient of variation (CV)0.0014323924
Kurtosis0.26565253
Mean127.01455
Median Absolute Deviation (MAD)0.10351709
Skewness0.18459195
Sum416226.67
Variance0.033100226
MonotonicityNot monotonic
2023-12-11T07:34:42.132874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.6785604873 7
 
0.2%
127.0575579762 5
 
0.2%
127.1426605976 5
 
0.2%
127.4488878723 4
 
0.1%
126.7419027019 4
 
0.1%
127.0534411674 4
 
0.1%
127.0991681664 4
 
0.1%
127.6381062629 4
 
0.1%
127.112839301 4
 
0.1%
126.6248942624 4
 
0.1%
Other values (2355) 3232
98.6%
ValueCountFrequency (%)
126.6209865734 2
0.1%
126.622515363 1
 
< 0.1%
126.6227141895 2
0.1%
126.6229244531 1
 
< 0.1%
126.6248942624 4
0.1%
126.625459016 1
 
< 0.1%
126.6261155061 1
 
< 0.1%
126.6261296553 1
 
< 0.1%
126.6268144471 1
 
< 0.1%
126.6269082075 1
 
< 0.1%
ValueCountFrequency (%)
127.6969744807 1
 
< 0.1%
127.6423495633 2
0.1%
127.639446535 1
 
< 0.1%
127.6381062629 4
0.1%
127.6379372926 1
 
< 0.1%
127.6375820712 2
0.1%
127.6375109359 2
0.1%
127.6357398496 1
 
< 0.1%
127.635729338 2
0.1%
127.6323211032 2
0.1%

Interactions

2023-12-11T07:34:33.479340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:33.269152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:33.598540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:33.376839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T07:34:42.228957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종명시군구명데이터기준일자정제WGS84위도정제WGS84경도
업종명1.0000.2410.1030.1550.096
시군구명0.2411.0000.8870.9720.965
데이터기준일자0.1030.8871.0000.7360.714
정제WGS84위도0.1550.9720.7361.0000.638
정제WGS84경도0.0960.9650.7140.6381.000
2023-12-11T07:34:42.315174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명업종명
시군구명1.0000.191
업종명0.1911.000
2023-12-11T07:34:42.387218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
정제WGS84위도정제WGS84경도업종명시군구명
정제WGS84위도1.000-0.1480.1180.808
정제WGS84경도-0.1481.0000.0740.777
업종명0.1180.0741.0000.191
시군구명0.8080.7770.1911.000

Missing values

2023-12-11T07:34:33.795712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:34:34.020828image/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.
2023-12-11T07:34:34.189507image/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

업종명상호명시군구명읍면동명도로명주소지번주소상세주소대표전화번호운영시간토요일운영시간일요일운영시간휴무일이미지명데이터기준일자정제WGS84위도정제WGS84경도
0동물미용업아띠펫살롱성남시 분당구대장동경기도 성남시 분당구 판교대장로5길 20 상가112호 (대장동)경기도 성남시 분당구 대장동 299번지<NA>031-608-8577<NA><NA><NA><NA>313102368070_1.jpeg2022-12-0537.364125127.069837
1동물미용업애견용품 할인마트(버블멍 송내점)부천시송내동경기도 부천시 송내대로30번길 21 (송내동)경기도 부천시 송내동 299-91층0507-1360-052810:00~21:0010:00~21:0010:00~21:00연중무휴313105092031_1.jpeg2022-11-0337.486776126.75477
2동물미용업샤도캣안산시 단원구초지동경기도 안산시 단원구 광덕1로 80 1층 샤도캣경기도 안산시 단원구 초지동 731번지<NA>0507-1406-434310:00~18:0010:00~18:0010:00~18:00연중무휴313109266002_1.jpeg2022-10-2637.304452126.818071
3동물미용업도그런살롱광주시오포읍경기도 광주시 오포읍 새말길 203-4경기도 광주시 오포읍 신현리 538번지1층031-8022-805910:00~19:0010:00~19:0010:00~19:00월요일313125011041_1.jpeg2022-11-2037.375833127.163957
4동물위탁관리업양주24시해든동물의료센터양주시광사동경기도 양주시 부흥로 1938 오션타워 2층경기도 양주시 광사동 652-1 오션타워 2층2층0507-1436-911210:00~22:0010:00~22:0010:00~22:00<NA>323126052010_1.jpeg2022-11-2337.794928127.078142
5동물미용업골든캐슬고양시 일산동구백석동경기도 고양시 일산동구 강송로113번길 54-9 1층경기도 고양시 일산동구 백석동 1200-11층0507-1443-500310:00~19:0010:00~19:0010:00~19:00연중무휴313110355064_1.jpeg2022-11-1037.64772126.784043
6동물위탁관리업아름동물병원성남시 분당구이매동경기도 성남시 분당구 성남대로779번길 52 신흥코아 (이매동)경기도 성남시 분당구 이매동 137-4번지102호031-706-7595<NA><NA><NA><NA>323102361034_1.jpeg2022-11-2437.399496127.122816
7동물미용업우리애견포천시소흘읍경기 포천시 소흘읍 솔모루로92번길 8경기도 포천시 소흘읍 송우리 110-571층031-544-002710:00~20:30<NA>10:00~20:00토요일313127011003_1.jpeg2022-12-0537.828841127.148436
8동물위탁관리업마이펫 가든&스토어안산시 상록구본오동경기도 안산시 상록구 본오로 87-1 1~2층경기도 안산시 상록구 본오동 862-12번지<NA>031-432-777610:00~20:5010:00~20:5010:00~20:50연중무휴323109154005_1.jpeg2022-11-0137.29292126.866248
9동물미용업몽발소수원시 권선구권선동경기도 수원시 권선구 권중로 110, 후문상가 1층 3호 (권선동, 보성,유원아파트)경기도 수원시 권선구 권선동 1265 보성,유원아파트<NA>031-233-580010:30~19:0010:30~19:0010:30~19:00연중무휴313101264027_1.jpeg2022-12-0537.249127.02946
업종명상호명시군구명읍면동명도로명주소지번주소상세주소대표전화번호운영시간토요일운영시간일요일운영시간휴무일이미지명데이터기준일자정제WGS84위도정제WGS84경도
3269동물미용업GROOMING107이천시부발읍경기도 이천시 부발읍 무촌로 156경기도 이천시 부발읍 무촌리 230-51층0507-1326-844510:00~20:0010:00~20:0010:00~20:00월요일313121012004_1.jpeg2022-11-0237.285702127.489249
3270동물미용업베스트 애견수원시 장안구조원동경기도 수원시 장안구 금당로9번길 64 (조원동, 시온빌)경기도 수원시 장안구 조원동 851-6 시온빌<NA>031-258-555610:00~16:00휴무휴무토요일, 일요일313101160037_1.jpeg2022-10-3137.303817127.012543
3271동물미용업쿨펫동물병원 동백점용인시 기흥구중동경기도 용인시 기흥구 동백죽전대로 444경기도 용인시 기흥구 중동 833번지동백이마트 계산대 맞은편031-679-0551<NA><NA><NA><NA>313119268081_1.jpeg2022-12-0537.277996127.15159
3272동물위탁관리업Scissoring made남양주시다산동경기도 남양주시 가운로2길 41 상가 102호경기도 남양주시 다산동 6741층0507-1355-965111:00~19:0011:00~19:0011:00~19:00금요일323113059041_1.jpeg2022-11-1637.601954127.15627
3273동물미용업똘이랑쩡아 애견미용평택시통복동경기도 평택시 원평로105번길 10-15 (통복동)경기도 평택시 통복동 287-41층0507-1325-030310:00~19:0010:00~19:00휴무일요일313107060086_1.jpeg2022-11-0936.994005127.079314
3274동물위탁관리업아띠시흥시정왕동경기도 시흥시 정왕천로369번길 59-7, 102호 (정왕동)경기도 시흥시 정왕동 1592-11번지<NA>031-488-899110:00~19:0010:00~19:0010:00~19:00수요일323115065047_1.jpeg2022-11-1837.344282126.743615
3275동물위탁관리업이리온동물메디컬센터용인시 처인구역북동경기도 용인시 처인구 중부대로 1307경기도 용인시 처인구 역북동 428-12번지<NA>031-334-612509:00~22:0009:00~22:0009:00~22:00연중무휴323119152097_1.jpeg2022-12-0537.236225127.190147
3276동물미용업라프's 애견 미용실평택시고덕면경기도 평택시 고덕면 고덕북로 270경기도 평택시 고덕면 두릉리 296-41층<NA>13:00~20:0011:00~20:0011:00~20:00수요일,목요일313107033003_1.jpeg2022-10-3137.067199127.017177
3277동물미용업도그스타 동물병원수원시 권선구호매실동경기도 수원시 권선구 호매실로218번길 124 2층경기도 수원시 권선구 호매실동 1375-1<NA>031-291-889610:30~18:0010:30~18:0010:30~18:00연중무휴313101266070_1.jpeg2022-12-0537.266124126.961255
3278동물미용업강아지마을용인시 수지구동천동경기도 용인시 수지구 문인로54번길 2 1층 (동천동, 수지하우비)경기도 용인시 수지구 동천동 887번지 1층<NA>031-264-3424<NA><NA><NA><NA>313119356013_1.jpeg2022-11-2837.333548127.097194