Overview

Dataset statistics

Number of variables13
Number of observations4752
Missing cells14469
Missing cells (%)23.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory510.6 KiB
Average record size in memory110.0 B

Variable types

Text4
DateTime1
Categorical2
Unsupported3
Numeric3

Dataset

Description일반음식점(까페) 현황
Author행정안전부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=3L2A0IARXF24QRZCIQQV13612546&infSeq=1

Alerts

위생업태명 has constant value ""Constant
소재지우편번호 is highly overall correlated with WGS84위도High correlation
WGS84위도 is highly overall correlated with 소재지우편번호High correlation
다중이용업소여부 has 4752 (100.0%) missing valuesMissing
총시설규모(㎡) has 4752 (100.0%) missing valuesMissing
위생업종명 has 4752 (100.0%) missing valuesMissing
소재지도로명주소 has 98 (2.1%) missing valuesMissing
소재지우편번호 has 48 (1.0%) missing valuesMissing
다중이용업소여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총시설규모(㎡) is an unsupported type, check if it needs cleaning or further analysisUnsupported
위생업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 21:49:57.418348
Analysis finished2023-12-10 21:50:00.213701
Duration2.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Text

Distinct55
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size37.3 KiB
2023-12-11T06:50:00.312869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.9627525
Min length3

Characters and Unicode

Total characters18831
Distinct characters43
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

Unique5 ?
Unique (%)0.1%

Sample

1st row가평군
2nd row가평군
3rd row가평군
4th row가평군
5th row가평군
ValueCountFrequency (%)
고양시 897
18.9%
성남시 508
10.7%
수원시 466
 
9.8%
용인시 404
 
8.5%
안산시 309
 
6.5%
화성시 254
 
5.3%
안양시 232
 
4.9%
파주시 190
 
4.0%
부천시 159
 
3.3%
남양주시 134
 
2.8%
Other values (22) 1199
25.2%
2023-12-11T06:50:00.569609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 4677
24.8%
4343
23.1%
양 1381
 
7.3%
고 897
 
4.8%
성 807
 
4.3%
남 702
 
3.7%
안 586
 
3.1%
주 503
 
2.7%
원 466
 
2.5%
수 466
 
2.5%
Other values (33) 4003
21.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14488
76.9%
Space Separator 4343
 
23.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 4677
32.3%
양 1381
 
9.5%
고 897
 
6.2%
성 807
 
5.6%
남 702
 
4.8%
안 586
 
4.0%
주 503
 
3.5%
원 466
 
3.2%
수 466
 
3.2%
용 404
 
2.8%
Other values (32) 3599
24.8%
Space Separator
ValueCountFrequency (%)
4343
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14488
76.9%
Common 4343
 
23.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 4677
32.3%
양 1381
 
9.5%
고 897
 
6.2%
성 807
 
5.6%
남 702
 
4.8%
안 586
 
4.0%
주 503
 
3.5%
원 466
 
3.2%
수 466
 
3.2%
용 404
 
2.8%
Other values (32) 3599
24.8%
Common
ValueCountFrequency (%)
4343
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14488
76.9%
ASCII 4343
 
23.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 4677
32.3%
양 1381
 
9.5%
고 897
 
6.2%
성 807
 
5.6%
남 702
 
4.8%
안 586
 
4.0%
주 503
 
3.5%
원 466
 
3.2%
수 466
 
3.2%
용 404
 
2.8%
Other values (32) 3599
24.8%
ASCII
ValueCountFrequency (%)
4343
100.0%

사업장명
Text

Distinct4210
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Memory size37.3 KiB
2023-12-11T06:50:00.837376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length36
Mean length5.7613636
Min length1

Characters and Unicode

Total characters27378
Distinct characters930
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3864 ?
Unique (%)81.3%

Sample

1st row버치티하우스
2nd row마더스 아뜰리에 로스터리 카페
3rd row까사32
4th row메이플티하우스
5th row파인티하우스
ValueCountFrequency (%)
카페 62
 
1.1%
cafe 38
 
0.7%
coffee 33
 
0.6%
커피 19
 
0.3%
까페 17
 
0.3%
아지트 14
 
0.2%
블루 12
 
0.2%
더 11
 
0.2%
테라스 9
 
0.2%
the 9
 
0.2%
Other values (4640) 5414
96.0%
2023-12-11T06:50:01.212008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
890
 
3.3%
페 869
 
3.2%
카 786
 
2.9%
( 745
 
2.7%
) 744
 
2.7%
스 741
 
2.7%
이 635
 
2.3%
리 494
 
1.8%
피 464
 
1.7%
e 462
 
1.7%
Other values (920) 20548
75.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19496
71.2%
Lowercase Letter 2684
 
9.8%
Uppercase Letter 2057
 
7.5%
Space Separator 890
 
3.3%
Open Punctuation 746
 
2.7%
Close Punctuation 745
 
2.7%
Decimal Number 575
 
2.1%
Other Punctuation 154
 
0.6%
Dash Punctuation 13
 
< 0.1%
Modifier Symbol 5
 
< 0.1%
Other values (5) 13
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
페 869
 
4.5%
카 786
 
4.0%
스 741
 
3.8%
이 635
 
3.3%
리 494
 
2.5%
피 464
 
2.4%
커 412
 
2.1%
라 364
 
1.9%
아 344
 
1.8%
점 265
 
1.4%
Other values (830) 14122
72.4%
Lowercase Letter
ValueCountFrequency (%)
e 462
17.2%
a 323
12.0%
o 253
 
9.4%
f 216
 
8.0%
n 149
 
5.6%
r 139
 
5.2%
s 136
 
5.1%
i 134
 
5.0%
c 119
 
4.4%
l 112
 
4.2%
Other values (16) 641
23.9%
Uppercase Letter
ValueCountFrequency (%)
C 201
 
9.8%
A 193
 
9.4%
E 176
 
8.6%
O 169
 
8.2%
B 125
 
6.1%
F 97
 
4.7%
L 97
 
4.7%
T 96
 
4.7%
N 95
 
4.6%
M 90
 
4.4%
Other values (16) 718
34.9%
Other Punctuation
ValueCountFrequency (%)
. 53
34.4%
& 45
29.2%
' 23
14.9%
: 7
 
4.5%
, 6
 
3.9%
· 6
 
3.9%
! 3
 
1.9%
? 3
 
1.9%
" 2
 
1.3%
＆ 2
 
1.3%
Other values (3) 4
 
2.6%
Decimal Number
ValueCountFrequency (%)
0 130
22.6%
1 83
14.4%
2 80
13.9%
7 64
11.1%
8 50
 
8.7%
3 45
 
7.8%
5 38
 
6.6%
9 32
 
5.6%
4 28
 
4.9%
6 25
 
4.3%
Open Punctuation
ValueCountFrequency (%)
( 745
99.9%
[ 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 744
99.9%
] 1
 
0.1%
Modifier Symbol
ValueCountFrequency (%)
` 4
80.0%
´ 1
 
20.0%
Other Symbol
ValueCountFrequency (%)
℃ 3
75.0%
° 1
 
25.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 2
66.7%
Ⅱ 1
33.3%
Space Separator
ValueCountFrequency (%)
890
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
＿ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19489
71.2%
Latin 4744
 
17.3%
Common 3138
 
11.5%
Han 7
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
페 869
 
4.5%
카 786
 
4.0%
스 741
 
3.8%
이 635
 
3.3%
리 494
 
2.5%
피 464
 
2.4%
커 412
 
2.1%
라 364
 
1.9%
아 344
 
1.8%
점 265
 
1.4%
Other values (823) 14115
72.4%
Latin
ValueCountFrequency (%)
e 462
 
9.7%
a 323
 
6.8%
o 253
 
5.3%
f 216
 
4.6%
C 201
 
4.2%
A 193
 
4.1%
E 176
 
3.7%
O 169
 
3.6%
n 149
 
3.1%
r 139
 
2.9%
Other values (44) 2463
51.9%
Common
ValueCountFrequency (%)
890
28.4%
( 745
23.7%
) 744
23.7%
0 130
 
4.1%
1 83
 
2.6%
2 80
 
2.5%
7 64
 
2.0%
. 53
 
1.7%
8 50
 
1.6%
3 45
 
1.4%
Other values (26) 254
 
8.1%
Han
ValueCountFrequency (%)
貢 1
14.3%
正 1
14.3%
茶 1
14.3%
茶 1
14.3%
人 1
14.3%
秀 1
14.3%
占 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19484
71.2%
ASCII 7863
28.7%
None 11
 
< 0.1%
CJK 6
 
< 0.1%
Compat Jamo 5
 
< 0.1%
Letterlike Symbols 3
 
< 0.1%
Number Forms 3
 
< 0.1%
Punctuation 2
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
890
 
11.3%
( 745
 
9.5%
) 744
 
9.5%
e 462
 
5.9%
a 323
 
4.1%
o 253
 
3.2%
f 216
 
2.7%
C 201
 
2.6%
A 193
 
2.5%
E 176
 
2.2%
Other values (71) 3660
46.5%
Hangul
ValueCountFrequency (%)
페 869
 
4.5%
카 786
 
4.0%
스 741
 
3.8%
이 635
 
3.3%
리 494
 
2.5%
피 464
 
2.4%
커 412
 
2.1%
라 364
 
1.9%
아 344
 
1.8%
점 265
 
1.4%
Other values (822) 14110
72.4%
None
ValueCountFrequency (%)
· 6
54.5%
＆ 2
 
18.2%
＿ 1
 
9.1%
´ 1
 
9.1%
° 1
 
9.1%
Compat Jamo
ValueCountFrequency (%)
ㅋ 5
100.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 3
100.0%
Punctuation
ValueCountFrequency (%)
’ 2
100.0%
Number Forms
ValueCountFrequency (%)
Ⅲ 2
66.7%
Ⅱ 1
33.3%
CJK
ValueCountFrequency (%)
貢 1
16.7%
正 1
16.7%
茶 1
16.7%
人 1
16.7%
秀 1
16.7%
占 1
16.7%
CJK Compat Ideographs
ValueCountFrequency (%)
茶 1
100.0%

인허가일자
Date

Distinct2608
Distinct (%)54.9%
Missing0
Missing (%)0.0%
Memory size37.3 KiB
Minimum1973-09-21 00:00:00
Maximum2020-12-18 00:00:00
2023-12-11T06:50:01.333681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:50:01.446180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size37.3 KiB
폐업
3669 
영업
1083 

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 3669
77.2%
영업 1083
 
22.8%

Length

2023-12-11T06:50:01.556029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:50:01.631114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 3669
77.2%
영업 1083
 
22.8%

다중이용업소여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4752
Missing (%)100.0%
Memory size41.9 KiB

총시설규모(㎡)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4752
Missing (%)100.0%
Memory size41.9 KiB

위생업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4752
Missing (%)100.0%
Memory size41.9 KiB

위생업태명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size37.3 KiB
까페
4752 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
까페 4752
100.0%

Length

2023-12-11T06:50:01.709577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:50:01.783758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
까페 4752
100.0%

소재지도로명주소
Text

MISSING 

Distinct4477
Distinct (%)96.2%
Missing98
Missing (%)2.1%
Memory size37.3 KiB
2023-12-11T06:50:01.996747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length53
Mean length31.021057
Min length13

Characters and Unicode

Total characters144372
Distinct characters559
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

Unique4347 ?
Unique (%)93.4%

Sample

1st row경기도 가평군 상면 둔덕말길 232 (외 45필지)
2nd row경기도 가평군 설악면 유명로 1454-25, B동 1~2층
3rd row경기도 가평군 설악면 유명로 2384, C동 1층
4th row경기도 가평군 상면 둔덕말길 232, 1층
5th row경기도 가평군 상면 둔덕말길 232 (외 45필지)
ValueCountFrequency (%)
경기도 4653
 
15.5%
1층 933
 
3.1%
고양시 889
 
3.0%
일산동구 581
 
1.9%
성남시 488
 
1.6%
수원시 454
 
1.5%
용인시 400
 
1.3%
분당구 341
 
1.1%
안산시 306
 
1.0%
2층 265
 
0.9%
Other values (5821) 20703
69.0%
2023-12-11T06:50:02.398551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25470
 
17.6%
1 7167
 
5.0%
기 4873
 
3.4%
경 4796
 
3.3%
도 4737
 
3.3%
시 4702
 
3.3%
동 4502
 
3.1%
로 4430
 
3.1%
, 3890
 
2.7%
2 3722
 
2.6%
Other values (549) 76083
52.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 81258
56.3%
Space Separator 25470
 
17.6%
Decimal Number 24999
 
17.3%
Other Punctuation 3927
 
2.7%
Close Punctuation 3438
 
2.4%
Open Punctuation 3437
 
2.4%
Dash Punctuation 1437
 
1.0%
Uppercase Letter 325
 
0.2%
Math Symbol 39
 
< 0.1%
Lowercase Letter 28
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 4873
 
6.0%
경 4796
 
5.9%
도 4737
 
5.8%
시 4702
 
5.8%
동 4502
 
5.5%
로 4430
 
5.5%
구 2963
 
3.6%
길 2132
 
2.6%
층 2057
 
2.5%
산 1930
 
2.4%
Other values (490) 44136
54.3%
Uppercase Letter
ValueCountFrequency (%)
B 107
32.9%
A 49
15.1%
I 22
 
6.8%
C 19
 
5.8%
S 14
 
4.3%
E 13
 
4.0%
T 9
 
2.8%
K 9
 
2.8%
W 8
 
2.5%
D 8
 
2.5%
Other values (14) 67
20.6%
Lowercase Letter
ValueCountFrequency (%)
l 5
17.9%
e 4
14.3%
b 3
10.7%
w 3
10.7%
a 2
 
7.1%
n 2
 
7.1%
i 2
 
7.1%
c 2
 
7.1%
o 2
 
7.1%
r 1
 
3.6%
Other values (2) 2
 
7.1%
Decimal Number
ValueCountFrequency (%)
1 7167
28.7%
2 3722
14.9%
3 2565
 
10.3%
0 2444
 
9.8%
4 1945
 
7.8%
5 1707
 
6.8%
6 1556
 
6.2%
7 1407
 
5.6%
8 1323
 
5.3%
9 1163
 
4.7%
Other Punctuation
ValueCountFrequency (%)
, 3890
99.1%
. 30
 
0.8%
/ 3
 
0.1%
@ 3
 
0.1%
' 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 6
42.9%
Ⅰ 4
28.6%
Ⅲ 4
28.6%
Space Separator
ValueCountFrequency (%)
25470
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3438
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3437
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1437
100.0%
Math Symbol
ValueCountFrequency (%)
~ 39
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 81258
56.3%
Common 62747
43.5%
Latin 367
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 4873
 
6.0%
경 4796
 
5.9%
도 4737
 
5.8%
시 4702
 
5.8%
동 4502
 
5.5%
로 4430
 
5.5%
구 2963
 
3.6%
길 2132
 
2.6%
층 2057
 
2.5%
산 1930
 
2.4%
Other values (490) 44136
54.3%
Latin
ValueCountFrequency (%)
B 107
29.2%
A 49
13.4%
I 22
 
6.0%
C 19
 
5.2%
S 14
 
3.8%
E 13
 
3.5%
T 9
 
2.5%
K 9
 
2.5%
W 8
 
2.2%
D 8
 
2.2%
Other values (29) 109
29.7%
Common
ValueCountFrequency (%)
25470
40.6%
1 7167
 
11.4%
, 3890
 
6.2%
2 3722
 
5.9%
) 3438
 
5.5%
( 3437
 
5.5%
3 2565
 
4.1%
0 2444
 
3.9%
4 1945
 
3.1%
5 1707
 
2.7%
Other values (10) 6962
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 81258
56.3%
ASCII 63100
43.7%
Number Forms 14
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25470
40.4%
1 7167
 
11.4%
, 3890
 
6.2%
2 3722
 
5.9%
) 3438
 
5.4%
( 3437
 
5.4%
3 2565
 
4.1%
0 2444
 
3.9%
4 1945
 
3.1%
5 1707
 
2.7%
Other values (46) 7315
 
11.6%
Hangul
ValueCountFrequency (%)
기 4873
 
6.0%
경 4796
 
5.9%
도 4737
 
5.8%
시 4702
 
5.8%
동 4502
 
5.5%
로 4430
 
5.5%
구 2963
 
3.6%
길 2132
 
2.6%
층 2057
 
2.5%
산 1930
 
2.4%
Other values (490) 44136
54.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 6
42.9%
Ⅰ 4
28.6%
Ⅲ 4
28.6%

소재지지번주소
Text

Distinct4682
Distinct (%)98.5%
Missing1
Missing (%)< 0.1%
Memory size37.3 KiB
2023-12-11T06:50:02.657376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length52
Mean length28.928015
Min length14

Characters and Unicode

Total characters137437
Distinct characters552
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4615 ?
Unique (%)97.1%

Sample

1st row경기도 가평군 상면 상동리 산 52 외 45필지
2nd row경기도 가평군 설악면 신천리 726-6 외 1필지, B동 1~2층
3rd row경기도 가평군 설악면 회곡리 467-6 C동1층
4th row경기도 가평군 상면 상동리 산 52 외 45필지, 1층
5th row경기도 가평군 상면 상동리 산 52 외 45필지
ValueCountFrequency (%)
경기도 4750
 
16.3%
1층 978
 
3.4%
고양시 897
 
3.1%
일산동구 585
 
2.0%
성남시 508
 
1.7%
수원시 466
 
1.6%
용인시 404
 
1.4%
분당구 343
 
1.2%
2층 337
 
1.2%
안산시 309
 
1.1%
Other values (6713) 19517
67.1%
2023-12-11T06:50:03.051611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24558
 
17.9%
1 7881
 
5.7%
동 5453
 
4.0%
기 4951
 
3.6%
도 4834
 
3.5%
경 4782
 
3.5%
시 4741
 
3.4%
지 4426
 
3.2%
2 3978
 
2.9%
- 3873
 
2.8%
Other values (542) 67960
49.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 77827
56.6%
Decimal Number 28964
 
21.1%
Space Separator 24558
 
17.9%
Dash Punctuation 3873
 
2.8%
Other Punctuation 576
 
0.4%
Close Punctuation 575
 
0.4%
Open Punctuation 574
 
0.4%
Uppercase Letter 400
 
0.3%
Math Symbol 40
 
< 0.1%
Lowercase Letter 32
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 5453
 
7.0%
기 4951
 
6.4%
도 4834
 
6.2%
경 4782
 
6.1%
시 4741
 
6.1%
지 4426
 
5.7%
번 3397
 
4.4%
구 2994
 
3.8%
층 2200
 
2.8%
호 2039
 
2.6%
Other values (480) 38010
48.8%
Uppercase Letter
ValueCountFrequency (%)
B 128
32.0%
A 54
13.5%
I 31
 
7.8%
C 23
 
5.8%
S 15
 
3.8%
E 15
 
3.8%
T 14
 
3.5%
K 12
 
3.0%
W 11
 
2.8%
D 10
 
2.5%
Other values (14) 87
21.8%
Lowercase Letter
ValueCountFrequency (%)
l 10
31.2%
e 5
15.6%
a 3
 
9.4%
b 2
 
6.2%
w 2
 
6.2%
c 2
 
6.2%
n 2
 
6.2%
i 2
 
6.2%
p 1
 
3.1%
m 1
 
3.1%
Other values (2) 2
 
6.2%
Decimal Number
ValueCountFrequency (%)
1 7881
27.2%
2 3978
13.7%
0 3100
 
10.7%
3 2781
 
9.6%
4 2210
 
7.6%
5 2105
 
7.3%
6 1934
 
6.7%
7 1857
 
6.4%
8 1681
 
5.8%
9 1437
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 528
91.7%
. 36
 
6.2%
@ 6
 
1.0%
/ 2
 
0.3%
& 2
 
0.3%
' 1
 
0.2%
; 1
 
0.2%
Letter Number
ValueCountFrequency (%)
Ⅱ 8
44.4%
Ⅲ 6
33.3%
Ⅰ 4
22.2%
Math Symbol
ValueCountFrequency (%)
~ 39
97.5%
∥ 1
 
2.5%
Space Separator
ValueCountFrequency (%)
24558
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3873
100.0%
Close Punctuation
ValueCountFrequency (%)
) 575
100.0%
Open Punctuation
ValueCountFrequency (%)
( 574
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 77827
56.6%
Common 59160
43.0%
Latin 450
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 5453
 
7.0%
기 4951
 
6.4%
도 4834
 
6.2%
경 4782
 
6.1%
시 4741
 
6.1%
지 4426
 
5.7%
번 3397
 
4.4%
구 2994
 
3.8%
층 2200
 
2.8%
호 2039
 
2.6%
Other values (480) 38010
48.8%
Latin
ValueCountFrequency (%)
B 128
28.4%
A 54
 
12.0%
I 31
 
6.9%
C 23
 
5.1%
S 15
 
3.3%
E 15
 
3.3%
T 14
 
3.1%
K 12
 
2.7%
W 11
 
2.4%
D 10
 
2.2%
Other values (29) 137
30.4%
Common
ValueCountFrequency (%)
24558
41.5%
1 7881
 
13.3%
2 3978
 
6.7%
- 3873
 
6.5%
0 3100
 
5.2%
3 2781
 
4.7%
4 2210
 
3.7%
5 2105
 
3.6%
6 1934
 
3.3%
7 1857
 
3.1%
Other values (13) 4883
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 77827
56.6%
ASCII 59591
43.4%
Number Forms 18
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24558
41.2%
1 7881
 
13.2%
2 3978
 
6.7%
- 3873
 
6.5%
0 3100
 
5.2%
3 2781
 
4.7%
4 2210
 
3.7%
5 2105
 
3.5%
6 1934
 
3.2%
7 1857
 
3.1%
Other values (48) 5314
 
8.9%
Hangul
ValueCountFrequency (%)
동 5453
 
7.0%
기 4951
 
6.4%
도 4834
 
6.2%
경 4782
 
6.1%
시 4741
 
6.1%
지 4426
 
5.7%
번 3397
 
4.4%
구 2994
 
3.8%
층 2200
 
2.8%
호 2039
 
2.6%
Other values (480) 38010
48.8%
Number Forms
ValueCountFrequency (%)
Ⅱ 8
44.4%
Ⅲ 6
33.3%
Ⅰ 4
22.2%
Math Operators
ValueCountFrequency (%)
∥ 1
100.0%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct1691
Distinct (%)35.9%
Missing48
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean13926.338
Minimum4344
Maximum18624
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size41.9 KiB
2023-12-11T06:50:03.370790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4344
5-th percentile10343.3
Q110952.75
median13637
Q316476
95-th percentile18276.95
Maximum18624
Range14280
Interquartile range (IQR)5523.25

Descriptive statistics

Standard deviation2685.2288
Coefficient of variation (CV)0.19281657
Kurtosis-1.2983092
Mean13926.338
Median Absolute Deviation (MAD)2742.5
Skewness0.038478996
Sum65509494
Variance7210453.5
MonotonicityNot monotonic
2023-12-11T06:50:03.495708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10401 77
 
1.6%
10402 67
 
1.4%
10364 64
 
1.3%
10358 48
 
1.0%
16705 38
 
0.8%
10383 33
 
0.7%
10406 33
 
0.7%
16897 33
 
0.7%
10446 31
 
0.7%
16889 31
 
0.7%
Other values (1681) 4249
89.4%
(Missing) 48
 
1.0%
ValueCountFrequency (%)
4344 1
< 0.1%
10003 1
< 0.1%
10011 1
< 0.1%
10016 2
< 0.1%
10017 1
< 0.1%
10018 2
< 0.1%
10022 1
< 0.1%
10029 1
< 0.1%
10031 1
< 0.1%
10032 1
< 0.1%
ValueCountFrequency (%)
18624 1
 
< 0.1%
18623 1
 
< 0.1%
18606 1
 
< 0.1%
18603 3
 
0.1%
18602 2
 
< 0.1%
18600 2
 
< 0.1%
18598 6
0.1%
18594 3
 
0.1%
18593 10
0.2%
18592 1
 
< 0.1%

WGS84위도
Real number (ℝ)

HIGH CORRELATION 

Distinct3983
Distinct (%)84.4%
Missing33
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean37.44903
Minimum36.959158
Maximum38.213377
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size41.9 KiB
2023-12-11T06:50:03.631079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.959158
5-th percentile37.157898
Q137.301573
median37.396821
Q337.65477
95-th percentile37.759848
Maximum38.213377
Range1.2542197
Interquartile range (IQR)0.35319767

Descriptive statistics

Standard deviation0.20316612
Coefficient of variation (CV)0.0054251372
Kurtosis-0.57121247
Mean37.44903
Median Absolute Deviation (MAD)0.13592729
Skewness0.17010576
Sum176721.97
Variance0.041276474
MonotonicityNot monotonic
2023-12-11T06:50:03.746325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.662782103 14
 
0.3%
37.6558930852 10
 
0.2%
37.6636687856 9
 
0.2%
37.6603374862 9
 
0.2%
37.6572135804 8
 
0.2%
37.6577605332 7
 
0.1%
37.4012858766 7
 
0.1%
37.6613171228 7
 
0.1%
37.3119260049 6
 
0.1%
37.6618144398 6
 
0.1%
Other values (3973) 4636
97.6%
(Missing) 33
 
0.7%
ValueCountFrequency (%)
36.9591575959 1
< 0.1%
36.9593241076 1
< 0.1%
36.9593457707 1
< 0.1%
36.959508969 1
< 0.1%
36.9596360398 1
< 0.1%
36.9604879033 1
< 0.1%
36.9606313551 1
< 0.1%
36.9609410537 1
< 0.1%
36.9610121479 1
< 0.1%
36.9644052069 1
< 0.1%
ValueCountFrequency (%)
38.2133773231 1
< 0.1%
38.1849584503 1
< 0.1%
38.0849552218 1
< 0.1%
38.0718166543 1
< 0.1%
38.0668169302 1
< 0.1%
38.0305892653 1
< 0.1%
38.0270406935 1
< 0.1%
38.0250571471 1
< 0.1%
38.0243695815 1
< 0.1%
38.0237056853 1
< 0.1%

WGS84경도
Real number (ℝ)

Distinct3983
Distinct (%)84.4%
Missing33
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean126.9865
Minimum126.54798
Maximum127.75444
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size41.9 KiB
2023-12-11T06:50:03.865156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.54798
5-th percentile126.74558
Q1126.79109
median127.0019
Q3127.11145
95-th percentile127.31862
Maximum127.75444
Range1.2064561
Interquartile range (IQR)0.32035357

Descriptive statistics

Standard deviation0.19519397
Coefficient of variation (CV)0.0015371239
Kurtosis0.31404255
Mean126.9865
Median Absolute Deviation (MAD)0.14565217
Skewness0.55417297
Sum599249.27
Variance0.038100687
MonotonicityNot monotonic
2023-12-11T06:50:03.980673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.7666198185 14
 
0.3%
126.7719705633 10
 
0.2%
126.7657153891 9
 
0.2%
126.7677436097 9
 
0.2%
126.7697922897 8
 
0.2%
126.7737095861 7
 
0.1%
127.1104579421 7
 
0.1%
126.7672918171 7
 
0.1%
126.8310374164 6
 
0.1%
126.7675476974 6
 
0.1%
Other values (3973) 4636
97.6%
(Missing) 33
 
0.7%
ValueCountFrequency (%)
126.5479804776 1
 
< 0.1%
126.5497387546 2
< 0.1%
126.5498350863 1
 
< 0.1%
126.5511387505 1
 
< 0.1%
126.5635961939 1
 
< 0.1%
126.5654892796 3
0.1%
126.5683296453 1
 
< 0.1%
126.5691742314 1
 
< 0.1%
126.5693388781 1
 
< 0.1%
126.5729671695 1
 
< 0.1%
ValueCountFrequency (%)
127.7544366101 1
< 0.1%
127.7542478119 1
< 0.1%
127.7530783607 1
< 0.1%
127.6881568938 1
< 0.1%
127.6802960853 1
< 0.1%
127.6614174614 1
< 0.1%
127.6551880182 1
< 0.1%
127.6482480426 1
< 0.1%
127.6426257803 1
< 0.1%
127.6404855895 1
< 0.1%

Interactions

2023-12-11T06:49:59.471262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:49:58.864312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:49:59.147252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:49:59.604956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:49:58.960305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:49:59.246751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:49:59.705410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:49:59.051390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:49:59.381320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T06:50:04.057344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명영업상태명소재지우편번호WGS84위도WGS84경도
시군명1.0000.3460.9910.9820.947
영업상태명0.3461.0000.1140.1280.196
소재지우편번호0.9910.1141.0000.8240.781
WGS84위도0.9820.1280.8241.0000.698
WGS84경도0.9470.1960.7810.6981.000
2023-12-11T06:50:04.140028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지우편번호WGS84위도WGS84경도영업상태명
소재지우편번호1.000-0.9150.4130.121
WGS84위도-0.9151.000-0.3660.098
WGS84경도0.413-0.3661.0000.150
영업상태명0.1210.0980.1501.000

Missing values

2023-12-11T06:49:59.840241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:50:00.018113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-12-11T06:50:00.144602image/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

시군명사업장명인허가일자영업상태명다중이용업소여부총시설규모(㎡)위생업종명위생업태명소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도
0가평군버치티하우스2005-11-02영업<NA><NA><NA>까페경기도 가평군 상면 둔덕말길 232 (외 45필지)경기도 가평군 상면 상동리 산 52 외 45필지1244337.797145127.305438
1가평군마더스 아뜰리에 로스터리 카페2012-09-04영업<NA><NA><NA>까페경기도 가평군 설악면 유명로 1454-25, B동 1~2층경기도 가평군 설악면 신천리 726-6 외 1필지, B동 1~2층1246737.66187127.481666
2가평군까사322015-04-29영업<NA><NA><NA>까페경기도 가평군 설악면 유명로 2384, C동 1층경기도 가평군 설악면 회곡리 467-6 C동1층1245937.711504127.445133
3가평군메이플티하우스2005-11-02영업<NA><NA><NA>까페경기도 가평군 상면 둔덕말길 232, 1층경기도 가평군 상면 상동리 산 52 외 45필지, 1층1244337.797145127.305438
4가평군파인티하우스2005-11-02영업<NA><NA><NA>까페경기도 가평군 상면 둔덕말길 232 (외 45필지)경기도 가평군 상면 상동리 산 52 외 45필지1244337.797145127.305438
5가평군HIM & I2004-08-17영업<NA><NA><NA>까페경기도 가평군 청평면 상지로 212경기도 가평군 청평면 상천리 1502-9 외 1필지1244937.768703127.473102
6가평군아도니스20150209영업<NA><NA><NA>까페경기도 가평군 상면 수목원로 314-2경기도 가평군 상면 행현리 602-3번지1244837.751668127.358808
7가평군불나불나20100903영업<NA><NA><NA>까페경기도 가평군 조종면 현창로44번길 13경기도 가평군 조종면 현리 262-231243737.819777127.348816
8가평군하겐나20131112영업<NA><NA><NA>까페경기도 가평군 설악면 한서로 96, 1층경기도 가평군 설악면 창의리 429 1층1246437.67312127.502325
9가평군아뜰리에 새봄20140328영업<NA><NA><NA>까페경기도 가평군 가평읍 오리나무길 51, 지하1층경기도 가평군 가평읍 대곡리 177-1 지하1층1242037.823226127.514181
시군명사업장명인허가일자영업상태명다중이용업소여부총시설규모(㎡)위생업종명위생업태명소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도
4742화성시벤치20120718폐업<NA><NA><NA>까페경기도 화성시 삼성1로 160 (석우동, 31-2번지 디지털스테이션 108호)경기도 화성시 석우동 31-2 (디지털스테이션 108호)1845037.21821127.077881
4743화성시주전부리20060822폐업<NA><NA><NA>까페경기도 화성시 효행로 1028 (진안동,(삼성프라자 108호))경기도 화성시 진안동 877-1 (삼성프라자 108호)1840437.212976127.040075
4744화성시휴고20070221폐업<NA><NA><NA>까페경기도 화성시 향남읍 발안남로55번길 26-3경기도 화성시 향남읍 발안리 4021859437.130336126.904477
4745화성시잠자리20120620폐업<NA><NA><NA>까페경기도 화성시 동탄공원로1길 6-27 (반송동, 102호)경기도 화성시 반송동 71-3 102호1843637.201808127.061339
4746화성시카페브라운20121122폐업<NA><NA><NA>까페경기도 화성시 봉담읍 삼천병마로 1281, 1층경기도 화성시 봉담읍 상리 27-2 1층1831337.220439126.949035
4747화성시떼레노시떼20130201폐업<NA><NA><NA>까페경기도 화성시 동학산2길 10 (석우동, (1층))경기도 화성시 석우동 9-7 (1층)1845037.224924127.074992
4748화성시앤즈코너 (Ann's corner)20120705폐업<NA><NA><NA>까페경기도 화성시 삼성전자로 16 (석우동, 32-3 (107호))경기도 화성시 석우동 32-3 (107호)1845037.218855127.079185
4749화성시인숙까페20130711폐업<NA><NA><NA>까페경기도 화성시 매송면 화성로2239번길 4, 2층경기도 화성시 매송면 어천리 429-8 2층1828737.249778126.911206
4750화성시카페오울(cafe owl)20130610폐업<NA><NA><NA>까페경기도 화성시 노작로4길 22-20 (반송동)경기도 화성시 반송동 113-11845937.198442127.077675
4751화성시알토스푸드까페20130530폐업<NA><NA><NA>까페경기도 화성시 향남읍 행정남로 99-18, 향남시범마을휴먼시아가상가동 104호경기도 화성시 향남읍 행정리 465 외 1필지 향남시범마을휴먼시아가상가동 104호1860337.123954126.917292