Overview

Dataset statistics

Number of variables14
Number of observations1431
Missing cells3694
Missing cells (%)18.4%
Duplicate rows6
Duplicate rows (%)0.4%
Total size in memory162.2 KiB
Average record size in memory116.1 B

Variable types

Categorical4
Text3
DateTime2
Boolean1
Unsupported1
Numeric3

Dataset

Description휴게음식점(푸드트럭) 현황
Author행정안전부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=CZTI4QRHCAOURZC7BIUI14641040&infSeq=1

Alerts

다중이용업소여부 has constant value ""Constant
위생업태명 has constant value ""Constant
Dataset has 6 (0.4%) duplicate rowsDuplicates
위생업종명 is highly overall correlated with 소재지우편번호 and 4 other fieldsHigh correlation
시군명 is highly overall correlated with 소재지우편번호 and 3 other fieldsHigh correlation
영업상태명 is highly overall correlated with 소재지우편번호 and 1 other fieldsHigh correlation
소재지우편번호 is highly overall correlated with 시군명 and 2 other fieldsHigh correlation
WGS84위도 is highly overall correlated with 시군명 and 1 other fieldsHigh correlation
WGS84경도 is highly overall correlated with 시군명 and 1 other fieldsHigh correlation
폐업일자 has 889 (62.1%) missing valuesMissing
다중이용업소여부 has 790 (55.2%) missing valuesMissing
총시설규모(㎡) has 1431 (100.0%) missing valuesMissing
소재지도로명주소 has 237 (16.6%) missing valuesMissing
소재지우편번호 has 81 (5.7%) missing valuesMissing
WGS84위도 has 132 (9.2%) missing valuesMissing
WGS84경도 has 132 (9.2%) missing valuesMissing
총시설규모(㎡) is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-10 20:41:21.660635
Analysis finished2024-05-10 20:41:27.836630
Duration6.18 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
수원시
210 
과천시
155 
화성시
124 
용인시
106 
고양시
80 
Other values (26)
756 

Length

Max length4
Median length3
Mean length3.0419287
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수원시 210
14.7%
과천시 155
 
10.8%
화성시 124
 
8.7%
용인시 106
 
7.4%
고양시 80
 
5.6%
부천시 68
 
4.8%
안산시 61
 
4.3%
김포시 53
 
3.7%
파주시 50
 
3.5%
성남시 45
 
3.1%
Other values (21) 479
33.5%

Length

2024-05-10T20:41:28.054206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
수원시 210
14.7%
과천시 155
 
10.8%
화성시 124
 
8.7%
용인시 106
 
7.4%
고양시 80
 
5.6%
부천시 68
 
4.8%
안산시 61
 
4.3%
김포시 53
 
3.7%
파주시 50
 
3.5%
성남시 45
 
3.1%
Other values (21) 479
33.5%

사업장명
Text

Distinct1101
Distinct (%)76.9%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
2024-05-10T20:41:28.641277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length29
Mean length6.2592593
Min length1

Characters and Unicode

Total characters8957
Distinct characters650
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique876 ?
Unique (%)61.2%

Sample

1st row젤라또 랜드
2nd row엔제리너스
3rd row커피의 꿈
4th row카페승아씨
5th row듀피에(딸바보트럭)
ValueCountFrequency (%)
푸드트럭 23
 
1.4%
정다함돈가스 11
 
0.6%
food 10
 
0.6%
푸드트럭팩토리 10
 
0.6%
마이츄 9
 
0.5%
카페 7
 
0.4%
화성시니어클럽 7
 
0.4%
정다함 7
 
0.4%
노노카페 7
 
0.4%
와라분식 7
 
0.4%
Other values (1203) 1595
94.2%
2024-05-10T20:41:29.589601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 303
 
3.4%
드 294
 
3.3%
264
 
2.9%
트 259
 
2.9%
푸 257
 
2.9%
럭 206
 
2.3%
) 188
 
2.1%
( 188
 
2.1%
이 179
 
2.0%
리 142
 
1.6%
Other values (640) 6677
74.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7312
81.6%
Uppercase Letter 468
 
5.2%
Lowercase Letter 356
 
4.0%
Space Separator 264
 
2.9%
Close Punctuation 189
 
2.1%
Open Punctuation 188
 
2.1%
Decimal Number 141
 
1.6%
Other Punctuation 30
 
0.3%
Dash Punctuation 9
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 303
 
4.1%
드 294
 
4.0%
트 259
 
3.5%
푸 257
 
3.5%
럭 206
 
2.8%
이 179
 
2.4%
리 142
 
1.9%
카 89
 
1.2%
아 87
 
1.2%
피 78
 
1.1%
Other values (569) 5418
74.1%
Uppercase Letter
ValueCountFrequency (%)
A 45
 
9.6%
O 43
 
9.2%
S 33
 
7.1%
E 31
 
6.6%
F 30
 
6.4%
T 25
 
5.3%
C 24
 
5.1%
R 24
 
5.1%
D 21
 
4.5%
B 21
 
4.5%
Other values (16) 171
36.5%
Lowercase Letter
ValueCountFrequency (%)
o 58
16.3%
e 38
 
10.7%
s 25
 
7.0%
a 25
 
7.0%
u 24
 
6.7%
r 24
 
6.7%
t 18
 
5.1%
f 17
 
4.8%
n 17
 
4.8%
l 15
 
4.2%
Other values (14) 95
26.7%
Decimal Number
ValueCountFrequency (%)
1 34
24.1%
2 26
18.4%
4 14
9.9%
8 13
 
9.2%
0 13
 
9.2%
7 11
 
7.8%
3 9
 
6.4%
9 7
 
5.0%
6 7
 
5.0%
5 7
 
5.0%
Other Punctuation
ValueCountFrequency (%)
. 9
30.0%
, 6
20.0%
' 6
20.0%
& 5
16.7%
: 3
 
10.0%
% 1
 
3.3%
Close Punctuation
ValueCountFrequency (%)
) 188
99.5%
] 1
 
0.5%
Space Separator
ValueCountFrequency (%)
264
100.0%
Open Punctuation
ValueCountFrequency (%)
( 188
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7310
81.6%
Latin 824
 
9.2%
Common 821
 
9.2%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 303
 
4.1%
드 294
 
4.0%
트 259
 
3.5%
푸 257
 
3.5%
럭 206
 
2.8%
이 179
 
2.4%
리 142
 
1.9%
카 89
 
1.2%
아 87
 
1.2%
피 78
 
1.1%
Other values (567) 5416
74.1%
Latin
ValueCountFrequency (%)
o 58
 
7.0%
A 45
 
5.5%
O 43
 
5.2%
e 38
 
4.6%
S 33
 
4.0%
E 31
 
3.8%
F 30
 
3.6%
T 25
 
3.0%
s 25
 
3.0%
a 25
 
3.0%
Other values (40) 471
57.2%
Common
ValueCountFrequency (%)
264
32.2%
) 188
22.9%
( 188
22.9%
1 34
 
4.1%
2 26
 
3.2%
4 14
 
1.7%
8 13
 
1.6%
0 13
 
1.6%
7 11
 
1.3%
. 9
 
1.1%
Other values (11) 61
 
7.4%
Han
ValueCountFrequency (%)
味 1
50.0%
美 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7310
81.6%
ASCII 1645
 
18.4%
CJK 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 303
 
4.1%
드 294
 
4.0%
트 259
 
3.5%
푸 257
 
3.5%
럭 206
 
2.8%
이 179
 
2.4%
리 142
 
1.9%
카 89
 
1.2%
아 87
 
1.2%
피 78
 
1.1%
Other values (567) 5416
74.1%
ASCII
ValueCountFrequency (%)
264
 
16.0%
) 188
 
11.4%
( 188
 
11.4%
o 58
 
3.5%
A 45
 
2.7%
O 43
 
2.6%
e 38
 
2.3%
1 34
 
2.1%
S 33
 
2.0%
E 31
 
1.9%
Other values (61) 723
44.0%
CJK
ValueCountFrequency (%)
味 1
50.0%
美 1
50.0%

인허가일자
Date

Distinct704
Distinct (%)49.2%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
Minimum2015-04-09 00:00:00
Maximum2024-04-30 00:00:00
2024-05-10T20:41:30.139614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:41:30.457663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

영업상태명
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
영업
575 
폐업 등
327 
운영중
314 
폐업
215 

Length

Max length4
Median length2
Mean length2.67645
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 575
40.2%
폐업 등 327
22.9%
운영중 314
21.9%
폐업 215
 
15.0%

Length

2024-05-10T20:41:30.886532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T20:41:31.343396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 575
32.7%
폐업 542
30.8%
등 327
18.6%
운영중 314
17.9%

폐업일자
Date

MISSING 

Distinct311
Distinct (%)57.4%
Missing889
Missing (%)62.1%
Memory size11.3 KiB
Minimum2015-09-11 00:00:00
Maximum2024-04-29 00:00:00
2024-05-10T20:41:31.718112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:41:32.120120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.2%
Missing790
Missing (%)55.2%
Memory size2.9 KiB
False
641 
(Missing)
790 
ValueCountFrequency (%)
False 641
44.8%
(Missing) 790
55.2%
2024-05-10T20:41:32.478727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

총시설규모(㎡)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1431
Missing (%)100.0%
Memory size12.7 KiB

위생업종명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
<NA>
790 
휴게음식점
641 

Length

Max length5
Median length4
Mean length4.4479385
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 790
55.2%
휴게음식점 641
44.8%

Length

2024-05-10T20:41:32.787558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T20:41:33.114863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 790
55.2%
휴게음식점 641
44.8%

위생업태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
푸드트럭
1431 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
푸드트럭 1431
100.0%

Length

2024-05-10T20:41:33.446007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T20:41:33.760477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
푸드트럭 1431
100.0%

소재지도로명주소
Text

MISSING 

Distinct708
Distinct (%)59.3%
Missing237
Missing (%)16.6%
Memory size11.3 KiB
2024-05-10T20:41:34.314980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length59
Mean length37.291457
Min length14

Characters and Unicode

Total characters44526
Distinct characters496
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique500 ?
Unique (%)41.9%

Sample

1st row경기도 가평군 가평읍 자라섬로 60, 자라섬일대 2023 이슬라이브 페스티벌
2nd row경기도 가평군 조종면 조종희망로26번길 16
3rd row경기도 가평군 가평읍 자라섬로 60, 오토캠핑장 행사장
4th row경기도 가평군 가평읍 자라섬로 60, 자라섬일대 2023 VOYAGE to Jarasum
5th row경기도 가평군 가평읍 자라섬로 60, 자라섬일대 2023 VOYAGE to Jarasum
ValueCountFrequency (%)
경기도 1194
 
13.2%
수원시 158
 
1.8%
과천시 152
 
1.7%
내 150
 
1.7%
107 122
 
1.4%
경마공원대로 119
 
1.3%
화성시 100
 
1.1%
용인시 99
 
1.1%
주암동 90
 
1.0%
처인구 74
 
0.8%
Other values (1619) 6764
75.0%
2024-05-10T20:41:35.520818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7832
 
17.6%
경 1436
 
3.2%
시 1397
 
3.1%
도 1327
 
3.0%
기 1304
 
2.9%
동 1244
 
2.8%
로 1162
 
2.6%
) 1105
 
2.5%
( 1104
 
2.5%
, 1099
 
2.5%
Other values (486) 25516
57.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28413
63.8%
Space Separator 7832
 
17.6%
Decimal Number 4536
 
10.2%
Other Punctuation 1114
 
2.5%
Close Punctuation 1105
 
2.5%
Open Punctuation 1104
 
2.5%
Uppercase Letter 183
 
0.4%
Dash Punctuation 151
 
0.3%
Lowercase Letter 42
 
0.1%
Math Symbol 40
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 1436
 
5.1%
시 1397
 
4.9%
도 1327
 
4.7%
기 1304
 
4.6%
동 1244
 
4.4%
로 1162
 
4.1%
원 697
 
2.5%
구 623
 
2.2%
장 559
 
2.0%
대 542
 
1.9%
Other values (428) 18122
63.8%
Uppercase Letter
ValueCountFrequency (%)
A 27
14.8%
C 21
11.5%
T 21
11.5%
E 20
10.9%
G 19
10.4%
I 11
 
6.0%
R 10
 
5.5%
S 10
 
5.5%
P 9
 
4.9%
H 6
 
3.3%
Other values (12) 29
15.8%
Lowercase Letter
ValueCountFrequency (%)
e 8
19.0%
o 5
11.9%
a 5
11.9%
n 5
11.9%
t 4
9.5%
m 4
9.5%
u 2
 
4.8%
s 2
 
4.8%
r 2
 
4.8%
k 2
 
4.8%
Other values (3) 3
 
7.1%
Decimal Number
ValueCountFrequency (%)
1 1073
23.7%
2 644
14.2%
0 529
11.7%
7 445
9.8%
3 369
 
8.1%
9 357
 
7.9%
4 302
 
6.7%
6 281
 
6.2%
5 275
 
6.1%
8 261
 
5.8%
Other Punctuation
ValueCountFrequency (%)
, 1099
98.7%
. 5
 
0.4%
· 3
 
0.3%
: 2
 
0.2%
' 2
 
0.2%
/ 2
 
0.2%
& 1
 
0.1%
Space Separator
ValueCountFrequency (%)
7832
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1105
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1104
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 151
100.0%
Math Symbol
ValueCountFrequency (%)
~ 40
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28412
63.8%
Common 15882
35.7%
Latin 231
 
0.5%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 1436
 
5.1%
시 1397
 
4.9%
도 1327
 
4.7%
기 1304
 
4.6%
동 1244
 
4.4%
로 1162
 
4.1%
원 697
 
2.5%
구 623
 
2.2%
장 559
 
2.0%
대 542
 
1.9%
Other values (427) 18121
63.8%
Latin
ValueCountFrequency (%)
A 27
 
11.7%
C 21
 
9.1%
T 21
 
9.1%
E 20
 
8.7%
G 19
 
8.2%
I 11
 
4.8%
R 10
 
4.3%
S 10
 
4.3%
P 9
 
3.9%
e 8
 
3.5%
Other values (26) 75
32.5%
Common
ValueCountFrequency (%)
7832
49.3%
) 1105
 
7.0%
( 1104
 
7.0%
, 1099
 
6.9%
1 1073
 
6.8%
2 644
 
4.1%
0 529
 
3.3%
7 445
 
2.8%
3 369
 
2.3%
9 357
 
2.2%
Other values (12) 1325
 
8.3%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28412
63.8%
ASCII 16104
36.2%
Number Forms 6
 
< 0.1%
None 3
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7832
48.6%
) 1105
 
6.9%
( 1104
 
6.9%
, 1099
 
6.8%
1 1073
 
6.7%
2 644
 
4.0%
0 529
 
3.3%
7 445
 
2.8%
3 369
 
2.3%
9 357
 
2.2%
Other values (46) 1547
 
9.6%
Hangul
ValueCountFrequency (%)
경 1436
 
5.1%
시 1397
 
4.9%
도 1327
 
4.7%
기 1304
 
4.6%
동 1244
 
4.4%
로 1162
 
4.1%
원 697
 
2.5%
구 623
 
2.2%
장 559
 
2.0%
대 542
 
1.9%
Other values (427) 18121
63.8%
Number Forms
ValueCountFrequency (%)
Ⅱ 6
100.0%
None
ValueCountFrequency (%)
· 3
100.0%
CJK
ValueCountFrequency (%)
內 1
100.0%

소재지지번주소
Text

Distinct895
Distinct (%)62.6%
Missing2
Missing (%)0.1%
Memory size11.3 KiB
2024-05-10T20:41:36.051548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length56
Mean length30.810357
Min length5

Characters and Unicode

Total characters44028
Distinct characters474
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

Unique691 ?
Unique (%)48.4%

Sample

1st row경기도 가평군 가평읍 대곡리 27-14 자라섬일대 2023 이슬라이브 페스티벌
2nd row경기도 가평군 가평읍 달전리 24 자라섬일원
3rd row경기도 가평군 조종면 현리 420-48
4th row경기도 가평군 가평읍 대곡리 27-14 오토캠핑장 행사장
5th row경기도 가평군 가평읍 대곡리 27-14 자라섬일대 2023 VOYAGE to Jarasum
ValueCountFrequency (%)
경기도 1426
 
15.2%
수원시 211
 
2.3%
과천시 153
 
1.6%
내 137
 
1.5%
화성시 123
 
1.3%
주암동 107
 
1.1%
용인시 106
 
1.1%
팔달구 97
 
1.0%
고양시 82
 
0.9%
처인구 80
 
0.9%
Other values (1752) 6836
73.0%
2024-05-10T20:41:37.098347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8706
 
19.8%
시 1607
 
3.6%
도 1583
 
3.6%
기 1520
 
3.5%
경 1504
 
3.4%
동 1266
 
2.9%
1 935
 
2.1%
지 931
 
2.1%
2 720
 
1.6%
구 707
 
1.6%
Other values (464) 24549
55.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28722
65.2%
Space Separator 8706
 
19.8%
Decimal Number 5435
 
12.3%
Dash Punctuation 484
 
1.1%
Uppercase Letter 185
 
0.4%
Close Punctuation 152
 
0.3%
Open Punctuation 150
 
0.3%
Other Punctuation 113
 
0.3%
Math Symbol 42
 
0.1%
Lowercase Letter 33
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 1607
 
5.6%
도 1583
 
5.5%
기 1520
 
5.3%
경 1504
 
5.2%
동 1266
 
4.4%
지 931
 
3.2%
구 707
 
2.5%
번 662
 
2.3%
원 588
 
2.0%
리 585
 
2.0%
Other values (407) 17769
61.9%
Uppercase Letter
ValueCountFrequency (%)
G 31
16.8%
T 29
15.7%
A 26
14.1%
C 18
9.7%
E 18
9.7%
I 9
 
4.9%
R 9
 
4.9%
P 8
 
4.3%
S 8
 
4.3%
H 6
 
3.2%
Other values (11) 23
12.4%
Lowercase Letter
ValueCountFrequency (%)
e 7
21.2%
a 5
15.2%
o 5
15.2%
n 4
12.1%
u 2
 
6.1%
s 2
 
6.1%
r 2
 
6.1%
m 2
 
6.1%
t 2
 
6.1%
g 1
 
3.0%
Decimal Number
ValueCountFrequency (%)
1 935
17.2%
2 720
13.2%
8 577
10.6%
5 568
10.5%
0 565
10.4%
6 523
9.6%
3 477
8.8%
7 424
7.8%
4 381
7.0%
9 265
 
4.9%
Other Punctuation
ValueCountFrequency (%)
, 74
65.5%
. 29
 
25.7%
· 3
 
2.7%
& 2
 
1.8%
: 2
 
1.8%
? 2
 
1.8%
/ 1
 
0.9%
Close Punctuation
ValueCountFrequency (%)
) 151
99.3%
] 1
 
0.7%
Open Punctuation
ValueCountFrequency (%)
( 149
99.3%
[ 1
 
0.7%
Space Separator
ValueCountFrequency (%)
8706
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 484
100.0%
Math Symbol
ValueCountFrequency (%)
~ 42
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28722
65.2%
Common 15082
34.3%
Latin 224
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 1607
 
5.6%
도 1583
 
5.5%
기 1520
 
5.3%
경 1504
 
5.2%
동 1266
 
4.4%
지 931
 
3.2%
구 707
 
2.5%
번 662
 
2.3%
원 588
 
2.0%
리 585
 
2.0%
Other values (407) 17769
61.9%
Latin
ValueCountFrequency (%)
G 31
13.8%
T 29
12.9%
A 26
11.6%
C 18
 
8.0%
E 18
 
8.0%
I 9
 
4.0%
R 9
 
4.0%
P 8
 
3.6%
S 8
 
3.6%
e 7
 
3.1%
Other values (23) 61
27.2%
Common
ValueCountFrequency (%)
8706
57.7%
1 935
 
6.2%
2 720
 
4.8%
8 577
 
3.8%
5 568
 
3.8%
0 565
 
3.7%
6 523
 
3.5%
- 484
 
3.2%
3 477
 
3.2%
7 424
 
2.8%
Other values (14) 1103
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28722
65.2%
ASCII 15297
34.7%
Number Forms 6
 
< 0.1%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8706
56.9%
1 935
 
6.1%
2 720
 
4.7%
8 577
 
3.8%
5 568
 
3.7%
0 565
 
3.7%
6 523
 
3.4%
- 484
 
3.2%
3 477
 
3.1%
7 424
 
2.8%
Other values (45) 1318
 
8.6%
Hangul
ValueCountFrequency (%)
시 1607
 
5.6%
도 1583
 
5.5%
기 1520
 
5.3%
경 1504
 
5.2%
동 1266
 
4.4%
지 931
 
3.2%
구 707
 
2.5%
번 662
 
2.3%
원 588
 
2.0%
리 585
 
2.0%
Other values (407) 17769
61.9%
Number Forms
ValueCountFrequency (%)
Ⅱ 6
100.0%
None
ValueCountFrequency (%)
· 3
100.0%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct417
Distinct (%)30.9%
Missing81
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean191304.9
Minimum10004
Maximum487878
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.7 KiB
2024-05-10T20:41:37.475407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10004
5-th percentile10908
Q113822
median17117
Q3442022
95-th percentile476802
Maximum487878
Range477874
Interquartile range (IQR)428200

Descriptive statistics

Standard deviation212092
Coefficient of variation (CV)1.1086595
Kurtosis-1.8449942
Mean191304.9
Median Absolute Deviation (MAD)5551.5
Skewness0.37418063
Sum2.5826161 × 108
Variance4.4983016 × 1010
MonotonicityNot monotonic
2024-05-10T20:41:37.909697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13822 84
 
5.9%
442022 44
 
3.1%
411766 38
 
2.7%
18556 25
 
1.7%
10390 21
 
1.5%
477804 20
 
1.4%
14655 20
 
1.4%
16295 18
 
1.3%
471060 16
 
1.1%
427060 15
 
1.0%
Other values (407) 1049
73.3%
(Missing) 81
 
5.7%
ValueCountFrequency (%)
10004 1
 
0.1%
10029 1
 
0.1%
10054 2
 
0.1%
10077 8
 
0.6%
10133 2
 
0.1%
10135 1
 
0.1%
10223 1
 
0.1%
10390 21
1.5%
10397 1
 
0.1%
10400 1
 
0.1%
ValueCountFrequency (%)
487878 1
 
0.1%
487833 7
0.5%
487020 1
 
0.1%
486903 3
 
0.2%
486902 1
 
0.1%
483777 1
 
0.1%
483030 1
 
0.1%
482813 1
 
0.1%
482812 9
0.6%
482080 5
0.3%

WGS84위도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct415
Distinct (%)31.9%
Missing132
Missing (%)9.2%
Infinite0
Infinite (%)0.0%
Mean37.437996
Minimum36.960694
Maximum38.162599
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.7 KiB
2024-05-10T20:41:38.324749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.960694
5-th percentile37.117404
Q137.282098
median37.411847
Q337.595219
95-th percentile37.818412
Maximum38.162599
Range1.2019046
Interquartile range (IQR)0.31312131

Descriptive statistics

Standard deviation0.22674652
Coefficient of variation (CV)0.0060565881
Kurtosis0.15913379
Mean37.437996
Median Absolute Deviation (MAD)0.13718375
Skewness0.57591182
Sum48631.957
Variance0.051413985
MonotonicityNot monotonic
2024-05-10T20:41:38.741982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.4430912297 116
 
8.1%
37.6646740405 27
 
1.9%
37.6690309166 25
 
1.7%
37.1174043639 24
 
1.7%
37.4062762719 23
 
1.6%
37.5008512692 20
 
1.4%
37.2407024165 20
 
1.4%
37.5744824904 19
 
1.3%
36.9946458119 18
 
1.3%
37.282097618 17
 
1.2%
Other values (405) 990
69.2%
(Missing) 132
 
9.2%
ValueCountFrequency (%)
36.9606943907 1
 
0.1%
36.9871676276 1
 
0.1%
36.9876422612 2
 
0.1%
36.9920854229 6
 
0.4%
36.992297194 2
 
0.1%
36.9934676606 1
 
0.1%
36.9946458119 18
1.3%
36.9969606874 1
 
0.1%
37.0014918073 1
 
0.1%
37.014730456 2
 
0.1%
ValueCountFrequency (%)
38.1625989879 1
 
0.1%
38.0923195714 2
 
0.1%
38.0837839697 7
0.5%
38.080917916 3
0.2%
38.0798574364 2
 
0.1%
38.0769909683 5
0.3%
38.0723728377 1
 
0.1%
38.0703295647 1
 
0.1%
38.067080025 1
 
0.1%
38.066402049 1
 
0.1%

WGS84경도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct415
Distinct (%)31.9%
Missing132
Missing (%)9.2%
Infinite0
Infinite (%)0.0%
Mean127.02487
Minimum126.57453
Maximum127.70411
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.7 KiB
2024-05-10T20:41:39.184008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.57453
5-th percentile126.69632
Q1126.83509
median127.01752
Q3127.13397
95-th percentile127.45942
Maximum127.70411
Range1.1295791
Interquartile range (IQR)0.29887836

Descriptive statistics

Standard deviation0.21614598
Coefficient of variation (CV)0.0017016036
Kurtosis0.087111426
Mean127.02487
Median Absolute Deviation (MAD)0.14764221
Skewness0.45277261
Sum165005.31
Variance0.046719083
MonotonicityNot monotonic
2024-05-10T20:41:39.586803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0175191267 116
 
8.1%
126.7422467741 27
 
1.9%
126.7456041294 25
 
1.7%
126.6814602436 24
 
1.7%
126.9487846348 23
 
1.6%
126.7982775858 20
 
1.4%
127.1792150942 20
 
1.4%
127.1328637462 19
 
1.3%
127.1339728945 18
 
1.3%
127.0476303918 17
 
1.2%
Other values (405) 990
69.2%
(Missing) 132
 
9.2%
ValueCountFrequency (%)
126.5745335679 1
 
0.1%
126.574551471 2
0.1%
126.5870200838 1
 
0.1%
126.5942282604 1
 
0.1%
126.6060565281 2
0.1%
126.6281745591 2
0.1%
126.6370393864 1
 
0.1%
126.6510722718 4
0.3%
126.6556616262 4
0.3%
126.6757711238 1
 
0.1%
ValueCountFrequency (%)
127.7041126475 1
 
0.1%
127.6366282067 1
 
0.1%
127.6363535982 1
 
0.1%
127.635893293 1
 
0.1%
127.6344154074 1
 
0.1%
127.629789102 1
 
0.1%
127.6286693374 1
 
0.1%
127.6266563664 3
0.2%
127.6228994282 2
0.1%
127.6136549141 1
 
0.1%

Interactions

2024-05-10T20:41:25.600919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:41:23.933780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:41:24.764849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:41:25.876106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:41:24.142227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:41:25.041300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:41:26.155263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:41:24.382906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:41:25.321428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-10T20:41:39.826708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명영업상태명소재지우편번호WGS84위도WGS84경도
시군명1.0000.4360.7520.9760.964
영업상태명0.4361.0000.6080.1990.229
소재지우편번호0.7520.6081.0000.4980.539
WGS84위도0.9760.1990.4981.0000.801
WGS84경도0.9640.2290.5390.8011.000
2024-05-10T20:41:40.106490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위생업종명시군명영업상태명
위생업종명1.0001.0001.000
시군명1.0001.0000.238
영업상태명1.0000.2381.000
2024-05-10T20:41:40.345866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지우편번호WGS84위도WGS84경도시군명영업상태명위생업종명
소재지우편번호1.000-0.3220.1440.5270.6241.000
WGS84위도-0.3221.000-0.1030.8350.1201.000
WGS84경도0.144-0.1031.0000.7810.1381.000
시군명0.5270.8350.7811.0000.2381.000
영업상태명0.6240.1200.1380.2381.0001.000
위생업종명1.0001.0001.0001.0001.0001.000

Missing values

2024-05-10T20:41:26.554673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-10T20:41:27.214425image/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.
2024-05-10T20:41:27.616714image/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

시군명사업장명인허가일자영업상태명폐업일자다중이용업소여부총시설규모(㎡)위생업종명위생업태명소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도
0가평군젤라또 랜드2023-08-29영업<NA><NA><NA><NA>푸드트럭경기도 가평군 가평읍 자라섬로 60, 자라섬일대 2023 이슬라이브 페스티벌경기도 가평군 가평읍 대곡리 27-14 자라섬일대 2023 이슬라이브 페스티벌1242137.820864127.521009
1가평군엔제리너스2019-10-01영업<NA><NA><NA><NA>푸드트럭<NA>경기도 가평군 가평읍 달전리 24 자라섬일원<NA>37.8164127.528908
2가평군커피의 꿈20160930영업<NA><NA><NA><NA>푸드트럭경기도 가평군 조종면 조종희망로26번길 16경기도 가평군 조종면 현리 420-481243837.818412127.352204
3가평군카페승아씨2023-05-04영업<NA><NA><NA><NA>푸드트럭경기도 가평군 가평읍 자라섬로 60, 오토캠핑장 행사장경기도 가평군 가평읍 대곡리 27-14 오토캠핑장 행사장1242137.820864127.521009
4가평군듀피에(딸바보트럭)2023-08-21영업<NA><NA><NA><NA>푸드트럭경기도 가평군 가평읍 자라섬로 60, 자라섬일대 2023 VOYAGE to Jarasum경기도 가평군 가평읍 대곡리 27-14 자라섬일대 2023 VOYAGE to Jarasum1242137.820864127.521009
5가평군어썸(AWESOME)2023-08-22영업<NA><NA><NA><NA>푸드트럭경기도 가평군 가평읍 자라섬로 60, 자라섬일대 2023 VOYAGE to Jarasum경기도 가평군 가평읍 대곡리 27-14 자라섬일대 2023 2023 VOYAGE to Jarasum1242137.820864127.521009
6가평군힐링2018-09-27영업<NA><NA><NA><NA>푸드트럭<NA>경기도 가평군 가평읍 달전리 25-2 자라섬(서도)<NA>37.817822127.527379
7가평군가평애드인아트2022-09-02영업<NA><NA><NA><NA>푸드트럭<NA>경기도 가평군 청평면 청평리 349-35 1979 청춘역 청평호프축제장1245237.737448127.425023
8가평군우리국수잘하는집2019-09-27영업<NA><NA><NA><NA>푸드트럭<NA>경기도 가평군 가평읍 달전리 24<NA>37.8164127.528908
9가평군푸드스토리2019-08-28영업<NA><NA><NA><NA>푸드트럭<NA>경기도 가평군 가평읍 달전리 1-1<NA>37.810522127.534682
시군명사업장명인허가일자영업상태명폐업일자다중이용업소여부총시설규모(㎡)위생업종명위생업태명소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도
1421화성시주토스트20160908폐업 등20160911N<NA>휴게음식점푸드트럭경기도 화성시 향남읍 향남로 470 (향남종합경기타운 내)경기도 화성시 향남읍 도이리 산 31-6번지 향남종합경기타운 내44592937.137472126.924012
1422화성시지지고20161109폐업 등20161113N<NA>휴게음식점푸드트럭경기도 화성시 동부대로970번길 110 (오산동)경기도 화성시 오산동 241번지44515037.188733127.098224
1423화성시비따비20170410폐업 등20170408N<NA>휴게음식점푸드트럭경기도 화성시 중리길 183 (청계동, 리베라컨트리클럽)경기도 화성시 청계동 510-385번지 리베라컨트리클럽44514037.190278127.112773
1424화성시쉬즈카페20170406폐업 등20170408N<NA>휴게음식점푸드트럭경기도 화성시 중리길 183 (청계동, 리베라컨트리클럽)경기도 화성시 청계동 510-385번지 리베라컨트리클럽44514037.190278127.112773
1425화성시친구20160524폐업 등20160529N<NA>휴게음식점푸드트럭<NA>경기도 화성시 서신면 전곡리 .번지 전곡항 화성 뱃놀이 축제 행사장445883<NA><NA>
1426화성시화성시니어클럽 커피앤 푸드트럭20160526폐업 등20160529N<NA>휴게음식점푸드트럭<NA>경기도 화성시 서신면 궁평리 .번지 궁평항 화성 뱃놀이 축제 행사장445882<NA><NA>
1427화성시주 타코20160526폐업 등20160529N<NA>휴게음식점푸드트럭<NA>경기도 화성시 서신면 전곡리 .번지 전곡항(화성 뱃놀이축제 행사장)445883<NA><NA>
1428화성시달리는숲20160520폐업 등20160529N<NA>휴게음식점푸드트럭<NA>경기도 화성시 서신면 전곡리 .번지 전곡항 화성시 뱃놀이 축제 행사장445883<NA><NA>
1429화성시7번출구20160519폐업 등20160529N<NA>휴게음식점푸드트럭<NA>경기도 화성시 서신면 전곡리 .번지 전곡항 화성 뱃놀이 축제 행사장445883<NA><NA>
1430화성시지져스(zisus)20170801폐업 등20180123N<NA>휴게음식점푸드트럭경기도 화성시 정남면 세자로 288 (수원과학대학교 )경기도 화성시 정남면 보통리 141-44번지 수원과학대학교44574237.192551126.983423

Duplicate rows

Most frequently occurring

시군명사업장명인허가일자영업상태명폐업일자다중이용업소여부위생업종명위생업태명소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도# duplicates
5용인시처갓집양념치킨2023-08-11영업<NA><NA><NA>푸드트럭경기도 용인시 처인구 모현읍 외대로 81, 한국외국어대학교글로벌캠퍼스경기도 용인시 처인구 모현읍 왕산리 산 55-4 한국외국어대학교글로벌캠퍼스1703537.336693127.2685324
0수원시푸드트럭팩토리20151006폐업 등20151020N휴게음식점푸드트럭경기도 수원시 팔달구 행궁로 11 (남창동, 화성행궁광장지정장소)경기도 수원시 팔달구 남창동 14번지44203037.280959127.0151382
1수원시푸드트럭팩토리20151006폐업 등20151020N휴게음식점푸드트럭<NA>경기도 수원시 팔달구 매향동 233번지 연무대주차장지정장소442160<NA><NA>2
2양주시핸썸베이글20180420폐업 등20180429N휴게음식점푸드트럭경기도 양주시 만송로 244, 레이크우드 내 (만송동)경기도 양주시 만송동 510-1번지 레이크우드 내48208037.784766127.0871262
3연천군동막골 유원지 협동조합2022-08-01영업<NA><NA><NA>푸드트럭<NA>경기도 연천군 연천읍 동막리 6351101138.09232127.1071272
4연천군로하스 캠핑테리아2024-04-30영업<NA><NA><NA>푸드트럭경기도 연천군 전곡읍 양연로 1510, 선사관리사업소, 전곡구석기유적관경기도 연천군 전곡읍 전곡리 529 선사관리사업소, 전곡구석기유적관1102738.015649127.0614552