Overview

Dataset statistics

Number of variables9
Number of observations7471
Missing cells192
Missing cells (%)0.3%
Duplicate rows5
Duplicate rows (%)0.1%
Total size in memory540.0 KiB
Average record size in memory74.0 B

Variable types

Categorical3
Text3
DateTime1
Numeric2

Alerts

지정기관구분명 has constant value ""Constant
Dataset has 5 (0.1%) duplicate rowsDuplicates
위도 is highly overall correlated with 시군명High correlation
경도 is highly overall correlated with 시군명High correlation
시군명 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
지정등급 is highly imbalanced (63.6%)Imbalance
소재지도로명주소 has 180 (2.4%) missing valuesMissing

Reproduction

Analysis started2024-03-12 23:07:30.603538
Analysis finished2024-03-12 23:07:32.440495
Duration1.84 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size58.5 KiB
수원시
659 
고양시
563 
화성시
520 
용인시
512 
부천시
495 
Other values (26)
4722 

Length

Max length4
Median length3
Mean length3.0760273
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수원시 659
 
8.8%
고양시 563
 
7.5%
화성시 520
 
7.0%
용인시 512
 
6.9%
부천시 495
 
6.6%
성남시 487
 
6.5%
안산시 328
 
4.4%
파주시 326
 
4.4%
시흥시 310
 
4.1%
평택시 297
 
4.0%
Other values (21) 2974
39.8%

Length

2024-03-13T08:07:32.495194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
수원시 659
 
8.8%
고양시 563
 
7.5%
화성시 520
 
7.0%
용인시 512
 
6.9%
부천시 495
 
6.6%
성남시 487
 
6.5%
안산시 328
 
4.4%
파주시 326
 
4.4%
시흥시 310
 
4.1%
평택시 297
 
4.0%
Other values (21) 2974
39.8%

업체명
Text

Distinct7161
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Memory size58.5 KiB
2024-03-13T08:07:32.670169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length35
Mean length10.816223
Min length1

Characters and Unicode

Total characters80808
Distinct characters864
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7069 ?
Unique (%)94.6%

Sample

1st row60계치킨경기가평점
2nd rowBHC치킨 가평점
3rd row가평(서울방향) 휴게소 만쥬리아
4th row가평(서울방향)휴게소 공차
5th row가평(서울방향)휴게소 던킨
ValueCountFrequency (%)
스타벅스 274
 
2.3%
배스킨라빈스 203
 
1.7%
이디야 152
 
1.3%
교촌치킨 127
 
1.0%
투썸플레이스 126
 
1.0%
이디야커피 119
 
1.0%
푸라닭 108
 
0.9%
뚜레쥬르 92
 
0.8%
파리바게뜨 87
 
0.7%
빽다방 84
 
0.7%
Other values (6846) 10749
88.7%
2024-03-13T08:07:32.992917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 5528
 
6.8%
4657
 
5.8%
스 3237
 
4.0%
이 1666
 
2.1%
) 1596
 
2.0%
( 1594
 
2.0%
킨 1363
 
1.7%
리 1180
 
1.5%
치 1016
 
1.3%
피 886
 
1.1%
Other values (854) 58085
71.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 68165
84.4%
Space Separator 4657
 
5.8%
Uppercase Letter 2476
 
3.1%
Close Punctuation 1619
 
2.0%
Open Punctuation 1617
 
2.0%
Decimal Number 1061
 
1.3%
Lowercase Letter 986
 
1.2%
Other Punctuation 188
 
0.2%
Dash Punctuation 24
 
< 0.1%
Letter Number 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 5528
 
8.1%
스 3237
 
4.7%
이 1666
 
2.4%
킨 1363
 
2.0%
리 1180
 
1.7%
치 1016
 
1.5%
피 886
 
1.3%
주 857
 
1.3%
라 840
 
1.2%
산 817
 
1.2%
Other values (772) 50775
74.5%
Uppercase Letter
ValueCountFrequency (%)
B 402
16.2%
C 285
11.5%
T 261
10.5%
D 223
 
9.0%
H 186
 
7.5%
S 131
 
5.3%
G 111
 
4.5%
E 105
 
4.2%
Q 98
 
4.0%
A 93
 
3.8%
Other values (16) 581
23.5%
Lowercase Letter
ValueCountFrequency (%)
e 110
11.2%
a 99
 
10.0%
c 90
 
9.1%
b 78
 
7.9%
i 68
 
6.9%
h 66
 
6.7%
n 65
 
6.6%
o 53
 
5.4%
s 43
 
4.4%
r 43
 
4.4%
Other values (15) 271
27.5%
Decimal Number
ValueCountFrequency (%)
1 221
20.8%
2 221
20.8%
0 195
18.4%
6 167
15.7%
5 98
9.2%
3 63
 
5.9%
4 38
 
3.6%
8 22
 
2.1%
7 19
 
1.8%
9 17
 
1.6%
Other Punctuation
ValueCountFrequency (%)
& 64
34.0%
. 57
30.3%
, 31
16.5%
/ 21
 
11.2%
· 7
 
3.7%
? 4
 
2.1%
; 1
 
0.5%
! 1
 
0.5%
？ 1
 
0.5%
: 1
 
0.5%
Letter Number
ValueCountFrequency (%)
Ⅳ 2
25.0%
Ⅲ 2
25.0%
Ⅰ 2
25.0%
Ⅱ 2
25.0%
Close Punctuation
ValueCountFrequency (%)
) 1596
98.6%
] 23
 
1.4%
Open Punctuation
ValueCountFrequency (%)
( 1594
98.6%
[ 23
 
1.4%
Space Separator
ValueCountFrequency (%)
4657
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 68162
84.4%
Common 9173
 
11.4%
Latin 3470
 
4.3%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 5528
 
8.1%
스 3237
 
4.7%
이 1666
 
2.4%
킨 1363
 
2.0%
리 1180
 
1.7%
치 1016
 
1.5%
피 886
 
1.3%
주 857
 
1.3%
라 840
 
1.2%
산 817
 
1.2%
Other values (769) 50772
74.5%
Latin
ValueCountFrequency (%)
B 402
 
11.6%
C 285
 
8.2%
T 261
 
7.5%
D 223
 
6.4%
H 186
 
5.4%
S 131
 
3.8%
G 111
 
3.2%
e 110
 
3.2%
E 105
 
3.0%
a 99
 
2.9%
Other values (45) 1557
44.9%
Common
ValueCountFrequency (%)
4657
50.8%
) 1596
 
17.4%
( 1594
 
17.4%
1 221
 
2.4%
2 221
 
2.4%
0 195
 
2.1%
6 167
 
1.8%
5 98
 
1.1%
& 64
 
0.7%
3 63
 
0.7%
Other values (17) 297
 
3.2%
Han
ValueCountFrequency (%)
家 1
33.3%
愛 1
33.3%
來 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 68159
84.3%
ASCII 12627
 
15.6%
None 8
 
< 0.1%
Number Forms 8
 
< 0.1%
Compat Jamo 3
 
< 0.1%
CJK 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 5528
 
8.1%
스 3237
 
4.7%
이 1666
 
2.4%
킨 1363
 
2.0%
리 1180
 
1.7%
치 1016
 
1.5%
피 886
 
1.3%
주 857
 
1.3%
라 840
 
1.2%
산 817
 
1.2%
Other values (768) 50769
74.5%
ASCII
ValueCountFrequency (%)
4657
36.9%
) 1596
 
12.6%
( 1594
 
12.6%
B 402
 
3.2%
C 285
 
2.3%
T 261
 
2.1%
D 223
 
1.8%
1 221
 
1.8%
2 221
 
1.8%
0 195
 
1.5%
Other values (66) 2972
23.5%
None
ValueCountFrequency (%)
· 7
87.5%
？ 1
 
12.5%
Compat Jamo
ValueCountFrequency (%)
ㆍ 3
100.0%
Number Forms
ValueCountFrequency (%)
Ⅳ 2
25.0%
Ⅲ 2
25.0%
Ⅰ 2
25.0%
Ⅱ 2
25.0%
CJK
ValueCountFrequency (%)
家 1
33.3%
愛 1
33.3%
來 1
33.3%

소재지도로명주소
Text

MISSING 

Distinct5073
Distinct (%)69.6%
Missing180
Missing (%)2.4%
Memory size58.5 KiB
2024-03-13T08:07:33.243126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length27
Mean length19.273351
Min length13

Characters and Unicode

Total characters140522
Distinct characters376
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4367 ?
Unique (%)59.9%

Sample

1st row경기도 가평군 가평읍 장터2길 6-6
2nd row경기도 가평군 설악면 미사리로 544
3rd row경기도 가평군 설악면 미사리로 544
4th row경기도 가평군 설악면 미사리로 544
5th row경기도 가평군 설악면 미사리로 544
ValueCountFrequency (%)
경기도 7291
 
21.7%
수원시 640
 
1.9%
고양시 545
 
1.6%
용인시 508
 
1.5%
화성시 505
 
1.5%
부천시 476
 
1.4%
성남시 476
 
1.4%
분당구 325
 
1.0%
파주시 322
 
1.0%
안산시 320
 
1.0%
Other values (3953) 22126
66.0%
2024-03-13T08:07:33.615438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26243
18.7%
도 7846
 
5.6%
경 7672
 
5.5%
기 7607
 
5.4%
시 7591
 
5.4%
로 6908
 
4.9%
1 5145
 
3.7%
2 3560
 
2.5%
구 3412
 
2.4%
3 2557
 
1.8%
Other values (366) 61981
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 88997
63.3%
Space Separator 26243
 
18.7%
Decimal Number 24306
 
17.3%
Dash Punctuation 976
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 7846
 
8.8%
경 7672
 
8.6%
기 7607
 
8.5%
시 7591
 
8.5%
로 6908
 
7.8%
구 3412
 
3.8%
길 2215
 
2.5%
양 1771
 
2.0%
번 1616
 
1.8%
원 1474
 
1.7%
Other values (354) 40885
45.9%
Decimal Number
ValueCountFrequency (%)
1 5145
21.2%
2 3560
14.6%
3 2557
10.5%
4 2208
9.1%
5 2172
8.9%
0 1925
 
7.9%
7 1860
 
7.7%
6 1802
 
7.4%
9 1580
 
6.5%
8 1497
 
6.2%
Space Separator
ValueCountFrequency (%)
26243
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 976
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 88997
63.3%
Common 51525
36.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 7846
 
8.8%
경 7672
 
8.6%
기 7607
 
8.5%
시 7591
 
8.5%
로 6908
 
7.8%
구 3412
 
3.8%
길 2215
 
2.5%
양 1771
 
2.0%
번 1616
 
1.8%
원 1474
 
1.7%
Other values (354) 40885
45.9%
Common
ValueCountFrequency (%)
26243
50.9%
1 5145
 
10.0%
2 3560
 
6.9%
3 2557
 
5.0%
4 2208
 
4.3%
5 2172
 
4.2%
0 1925
 
3.7%
7 1860
 
3.6%
6 1802
 
3.5%
9 1580
 
3.1%
Other values (2) 2473
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 88997
63.3%
ASCII 51525
36.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
26243
50.9%
1 5145
 
10.0%
2 3560
 
6.9%
3 2557
 
5.0%
4 2208
 
4.3%
5 2172
 
4.2%
0 1925
 
3.7%
7 1860
 
3.6%
6 1802
 
3.5%
9 1580
 
3.1%
Other values (2) 2473
 
4.8%
Hangul
ValueCountFrequency (%)
도 7846
 
8.8%
경 7672
 
8.6%
기 7607
 
8.5%
시 7591
 
8.5%
로 6908
 
7.8%
구 3412
 
3.8%
길 2215
 
2.5%
양 1771
 
2.0%
번 1616
 
1.8%
원 1474
 
1.7%
Other values (354) 40885
45.9%

소재지지번주소
Text

Distinct6635
Distinct (%)88.8%
Missing0
Missing (%)0.0%
Memory size58.5 KiB
2024-03-13T08:07:33.864856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length87
Median length67
Mean length35.318565
Min length11

Characters and Unicode

Total characters263865
Distinct characters631
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6344 ?
Unique (%)84.9%

Sample

1st row경기도 가평군 가평읍 읍내리 474-3번지 1층
2nd row경기도 가평군 가평읍 읍내리 635-2번지 에이스1차
3rd row경기도 가평군 설악면 미사리 145-3번지
4th row경기도 가평군 설악면 미사리 145-3번지 1층
5th row경기도 가평군 설악면 미사리 145-3번지
ValueCountFrequency (%)
경기도 7471
 
13.7%
1층 3023
 
5.6%
수원시 660
 
1.2%
일부호 652
 
1.2%
고양시 563
 
1.0%
화성시 520
 
1.0%
용인시 512
 
0.9%
부천시 496
 
0.9%
성남시 487
 
0.9%
일부 397
 
0.7%
Other values (9346) 39653
72.8%
2024-03-13T08:07:34.271226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
46963
 
17.8%
1 15939
 
6.0%
동 12502
 
4.7%
지 8942
 
3.4%
시 8225
 
3.1%
기 7802
 
3.0%
도 7734
 
2.9%
경 7532
 
2.9%
번 7443
 
2.8%
0 5863
 
2.2%
Other values (621) 134920
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 152472
57.8%
Decimal Number 49471
 
18.7%
Space Separator 46963
 
17.8%
Dash Punctuation 5261
 
2.0%
Open Punctuation 2953
 
1.1%
Close Punctuation 2953
 
1.1%
Other Punctuation 1901
 
0.7%
Uppercase Letter 1406
 
0.5%
Lowercase Letter 250
 
0.1%
Math Symbol 203
 
0.1%
Other values (2) 32
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 12502
 
8.2%
지 8942
 
5.9%
시 8225
 
5.4%
기 7802
 
5.1%
도 7734
 
5.1%
경 7532
 
4.9%
번 7443
 
4.9%
층 4999
 
3.3%
호 4318
 
2.8%
구 3701
 
2.4%
Other values (544) 79274
52.0%
Uppercase Letter
ValueCountFrequency (%)
A 224
15.9%
B 211
15.0%
S 103
 
7.3%
C 88
 
6.3%
E 86
 
6.1%
R 81
 
5.8%
T 68
 
4.8%
K 65
 
4.6%
L 56
 
4.0%
I 51
 
3.6%
Other values (16) 373
26.5%
Lowercase Letter
ValueCountFrequency (%)
e 54
21.6%
t 20
 
8.0%
a 19
 
7.6%
r 18
 
7.2%
c 17
 
6.8%
i 17
 
6.8%
l 15
 
6.0%
m 14
 
5.6%
o 13
 
5.2%
s 11
 
4.4%
Other values (12) 52
20.8%
Decimal Number
ValueCountFrequency (%)
1 15939
32.2%
0 5863
 
11.9%
2 5574
 
11.3%
3 4016
 
8.1%
4 3490
 
7.1%
6 3381
 
6.8%
5 3275
 
6.6%
7 2865
 
5.8%
8 2640
 
5.3%
9 2428
 
4.9%
Other Punctuation
ValueCountFrequency (%)
, 1829
96.2%
. 55
 
2.9%
& 9
 
0.5%
· 3
 
0.2%
/ 3
 
0.2%
@ 1
 
0.1%
? 1
 
0.1%
Letter Number
ValueCountFrequency (%)
Ⅰ 14
45.2%
Ⅱ 13
41.9%
Ⅲ 2
 
6.5%
Ⅳ 1
 
3.2%
Ⅴ 1
 
3.2%
Math Symbol
ValueCountFrequency (%)
~ 196
96.6%
+ 7
 
3.4%
Space Separator
ValueCountFrequency (%)
46963
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5261
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2953
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2953
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 152472
57.8%
Common 109706
41.6%
Latin 1687
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 12502
 
8.2%
지 8942
 
5.9%
시 8225
 
5.4%
기 7802
 
5.1%
도 7734
 
5.1%
경 7532
 
4.9%
번 7443
 
4.9%
층 4999
 
3.3%
호 4318
 
2.8%
구 3701
 
2.4%
Other values (544) 79274
52.0%
Latin
ValueCountFrequency (%)
A 224
 
13.3%
B 211
 
12.5%
S 103
 
6.1%
C 88
 
5.2%
E 86
 
5.1%
R 81
 
4.8%
T 68
 
4.0%
K 65
 
3.9%
L 56
 
3.3%
e 54
 
3.2%
Other values (43) 651
38.6%
Common
ValueCountFrequency (%)
46963
42.8%
1 15939
 
14.5%
0 5863
 
5.3%
2 5574
 
5.1%
- 5261
 
4.8%
3 4016
 
3.7%
4 3490
 
3.2%
6 3381
 
3.1%
5 3275
 
3.0%
( 2953
 
2.7%
Other values (14) 12991
 
11.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 152471
57.8%
ASCII 111359
42.2%
Number Forms 31
 
< 0.1%
None 3
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
46963
42.2%
1 15939
 
14.3%
0 5863
 
5.3%
2 5574
 
5.0%
- 5261
 
4.7%
3 4016
 
3.6%
4 3490
 
3.1%
6 3381
 
3.0%
5 3275
 
2.9%
( 2953
 
2.7%
Other values (61) 14644
 
13.2%
Hangul
ValueCountFrequency (%)
동 12502
 
8.2%
지 8942
 
5.9%
시 8225
 
5.4%
기 7802
 
5.1%
도 7734
 
5.1%
경 7532
 
4.9%
번 7443
 
4.9%
층 4999
 
3.3%
호 4318
 
2.8%
구 3701
 
2.4%
Other values (543) 79273
52.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 14
45.2%
Ⅱ 13
41.9%
Ⅲ 2
 
6.5%
Ⅳ 1
 
3.2%
Ⅴ 1
 
3.2%
None
ValueCountFrequency (%)
· 3
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

지정등급
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size58.5 KiB
매우우수
6668 
우수
 
612
좋음
 
191

Length

Max length4
Median length4
Mean length3.7850355
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row우수
2nd row매우우수
3rd row매우우수
4th row매우우수
5th row매우우수

Common Values

ValueCountFrequency (%)
매우우수 6668
89.3%
우수 612
 
8.2%
좋음 191
 
2.6%

Length

2024-03-13T08:07:34.382674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T08:07:34.462643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
매우우수 6668
89.3%
우수 612
 
8.2%
좋음 191
 
2.6%

지정일자
Date

Distinct557
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size58.5 KiB
Minimum2022-01-12 00:00:00
Maximum2023-12-30 00:00:00
2024-03-13T08:07:34.545132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:07:34.644101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

지정기관구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size58.5 KiB
식약처
7471 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식약처 7471
100.0%

Length

2024-03-13T08:07:34.745801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T08:07:34.817114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식약처 7471
100.0%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct5207
Distinct (%)69.8%
Missing6
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean37.426882
Minimum36.961763
Maximum38.10254
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.8 KiB
2024-03-13T08:07:34.896270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.961763
5-th percentile37.061243
Q137.273246
median37.390863
Q337.616103
95-th percentile37.758167
Maximum38.10254
Range1.140777
Interquartile range (IQR)0.34285654

Descriptive statistics

Standard deviation0.21399385
Coefficient of variation (CV)0.0057176509
Kurtosis-0.58035628
Mean37.426882
Median Absolute Deviation (MAD)0.14628087
Skewness0.17211444
Sum279391.67
Variance0.045793366
MonotonicityNot monotonic
2024-03-13T08:07:35.004864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.2853339989 52
 
0.7%
37.5041752477 44
 
0.6%
37.6026921337 43
 
0.6%
37.3127533049 41
 
0.5%
37.3838382249 41
 
0.5%
37.2907221232 39
 
0.5%
37.3758162701 39
 
0.5%
37.4242749767 35
 
0.5%
37.200675377 34
 
0.5%
37.2627442492 32
 
0.4%
Other values (5197) 7065
94.6%
ValueCountFrequency (%)
36.9617628515 1
 
< 0.1%
36.9632267268 1
 
< 0.1%
36.9634135654 1
 
< 0.1%
36.963544108 1
 
< 0.1%
36.9636200139 1
 
< 0.1%
36.963781784 1
 
< 0.1%
36.9647310907 1
 
< 0.1%
36.9647740826 1
 
< 0.1%
36.9680334123 7
0.1%
36.9698025574 6
0.1%
ValueCountFrequency (%)
38.1025398748 1
< 0.1%
38.102140712 1
< 0.1%
38.1016023516 1
< 0.1%
38.0988563659 1
< 0.1%
38.0908846544 1
< 0.1%
38.0849652814 1
< 0.1%
38.0681597477 1
< 0.1%
38.0653856554 2
< 0.1%
38.043072136 1
< 0.1%
38.0326377185 1
< 0.1%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct5207
Distinct (%)69.8%
Missing6
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean127.00317
Minimum126.53419
Maximum127.73939
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.8 KiB
2024-03-13T08:07:35.115919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.53419
5-th percentile126.72868
Q1126.83101
median127.03842
Q3127.11708
95-th percentile127.35368
Maximum127.73939
Range1.2051939
Interquartile range (IQR)0.28606704

Descriptive statistics

Standard deviation0.19687742
Coefficient of variation (CV)0.0015501772
Kurtosis0.30440469
Mean127.00317
Median Absolute Deviation (MAD)0.12906982
Skewness0.46549778
Sum948078.69
Variance0.03876072
MonotonicityNot monotonic
2024-03-13T08:07:35.232115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0572677088 52
 
0.7%
126.7566905848 44
 
0.6%
127.1437935543 43
 
0.6%
127.0817765905 41
 
0.5%
126.8554983736 41
 
0.5%
127.1967269237 39
 
0.5%
127.0095923119 39
 
0.5%
126.8827963758 35
 
0.5%
127.0979238519 34
 
0.5%
127.408479871 32
 
0.4%
Other values (5197) 7065
94.6%
ValueCountFrequency (%)
126.5341928032 1
< 0.1%
126.5715986712 1
< 0.1%
126.5820413964 1
< 0.1%
126.5824929244 1
< 0.1%
126.5833244347 1
< 0.1%
126.5846621839 1
< 0.1%
126.5886249842 1
< 0.1%
126.5970357104 1
< 0.1%
126.5973731176 1
< 0.1%
126.5976057487 1
< 0.1%
ValueCountFrequency (%)
127.7393866828 1
< 0.1%
127.7278774409 1
< 0.1%
127.7265930476 1
< 0.1%
127.7235581364 1
< 0.1%
127.7201400371 1
< 0.1%
127.6560877328 1
< 0.1%
127.6487081434 1
< 0.1%
127.6481526792 1
< 0.1%
127.6445962471 1
< 0.1%
127.6431692841 1
< 0.1%

Interactions

2024-03-13T08:07:32.040160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:07:31.889595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:07:32.110879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:07:31.968684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T08:07:35.301126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명지정등급위도경도
시군명1.0000.1770.9760.940
지정등급0.1771.0000.1300.032
위도0.9760.1301.0000.681
경도0.9400.0320.6811.000
2024-03-13T08:07:35.374115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정등급시군명
지정등급1.0000.089
시군명0.0891.000
2024-03-13T08:07:35.441024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도시군명지정등급
위도1.000-0.2560.8380.078
경도-0.2561.0000.7000.019
시군명0.8380.7001.0000.089
지정등급0.0780.0190.0891.000

Missing values

2024-03-13T08:07:32.204369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T08:07:32.308424image/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.
2024-03-13T08:07:32.392204image/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

시군명업체명소재지도로명주소소재지지번주소지정등급지정일자지정기관구분명위도경도
0가평군60계치킨경기가평점경기도 가평군 가평읍 장터2길 6-6경기도 가평군 가평읍 읍내리 474-3번지 1층우수2023-07-22식약처37.829671127.514341
1가평군BHC치킨 가평점<NA>경기도 가평군 가평읍 읍내리 635-2번지 에이스1차매우우수2023-05-04식약처37.833808127.509739
2가평군가평(서울방향) 휴게소 만쥬리아경기도 가평군 설악면 미사리로 544경기도 가평군 설악면 미사리 145-3번지매우우수2022-09-01식약처37.701738127.543471
3가평군가평(서울방향)휴게소 공차경기도 가평군 설악면 미사리로 544경기도 가평군 설악면 미사리 145-3번지 1층매우우수2023-01-11식약처37.701738127.543471
4가평군가평(서울방향)휴게소 던킨경기도 가평군 설악면 미사리로 544경기도 가평군 설악면 미사리 145-3번지매우우수2022-03-27식약처37.701738127.543471
5가평군가평(서울방향)휴게소 라면&우동경기도 가평군 설악면 미사리로 544경기도 가평군 설악면 미사리 145-3번지 외 39필지매우우수2023-11-21식약처37.701738127.543471
6가평군가평(서울방향)휴게소 라면·분식경기도 가평군 설악면 미사리로 544경기도 가평군 설악면 미사리 145-3번지 외 39필지매우우수2023-01-11식약처37.701738127.543471
7가평군가평(서울방향)휴게소 롯데리아경기도 가평군 설악면 미사리로 544경기도 가평군 설악면 미사리 145-3번지우수2022-08-29식약처37.701738127.543471
8가평군가평(서울방향)휴게소 무공돈가스경기도 가평군 설악면 미사리로 544경기도 가평군 설악면 미사리 145-3번지 외 39필지매우우수2023-11-21식약처37.701738127.543471
9가평군가평(서울방향)휴게소 북촌손만두경기도 가평군 설악면 미사리로 544경기도 가평군 설악면 미사리 145-3번지 외39필지매우우수2022-09-01식약처37.701738127.543471
시군명업체명소재지도로명주소소재지지번주소지정등급지정일자지정기관구분명위도경도
7461화성시화성(상)휴게소(닭강정탕수육)경기도 화성시 팔탄면 서해안고속도로 302경기도 화성시 팔탄면 덕천리 산101-2번지매우우수2023-01-28식약처37.143566126.881222
7462화성시화성(상)휴게소(못난이꽈배기)경기도 화성시 팔탄면 서해안고속도로 302경기도 화성시 팔탄면 덕천리 산101-2번지매우우수2022-03-26식약처37.143566126.881222
7463화성시화성(상)휴게소(화성국수)경기도 화성시 팔탄면 서해안고속도로 302경기도 화성시 팔탄면 덕천리 산101-2번지 (화성상휴게소 1동 1층 일부)매우우수2022-03-30식약처37.143566126.881222
7464화성시화성(상)휴게소호두과자경기도 화성시 팔탄면 서해안고속도로 302경기도 화성시 팔탄면 덕천리 산101-2번지매우우수2022-09-04식약처37.143566126.881222
7465화성시화성(하)휴게소 찹찹핫도그경기도 화성시 팔탄면 서해안고속도로 301-1경기도 화성시 팔탄면 덕천리 산102-1번지매우우수2022-03-27식약처37.142124126.879478
7466화성시화성(하)휴게소(교동짬뽕)경기도 화성시 팔탄면 서해안고속도로 301-1경기도 화성시 팔탄면 덕천리 산102-1번지매우우수2022-03-30식약처37.142124126.879478
7467화성시화성(하)휴게소(못난이꽈배기)경기도 화성시 팔탄면 서해안고속도로 301-1경기도 화성시 팔탄면 덕천리 산102-1번지매우우수2022-03-30식약처37.142124126.879478
7468화성시화성(하)휴게소(통감자외핫바)경기도 화성시 팔탄면 서해안고속도로 301-1경기도 화성시 팔탄면 덕천리 산102-1번지 (화성하휴게소)매우우수2022-03-27식약처37.142124126.879478
7469화성시화성(하)휴게소(회오리감자)경기도 화성시 팔탄면 서해안고속도로 301-1경기도 화성시 팔탄면 덕천리 산102-1번지매우우수2022-03-27식약처37.142124126.879478
7470화성시화성(하)휴게소호두과자경기도 화성시 팔탄면 서해안고속도로 301-1경기도 화성시 팔탄면 덕천리 산102-1번지매우우수2022-09-04식약처37.142124126.879478

Duplicate rows

Most frequently occurring

시군명업체명소재지도로명주소소재지지번주소지정등급지정일자지정기관구분명위도경도# duplicates
0광주시60계 광주태전점경기도 광주시 고불로 65경기도 광주시 태전동 262-1번지매우우수2023-07-28식약처37.392517127.2308422
1남양주시홈플러스(주)남양주시진접점경기도 남양주시 진접읍 금강로 1447경기도 남양주시 진접읍 장현리 216-1번지 (홈플러스진접점 지하2층)매우우수2023-06-21식약처37.72175127.1886012
2수원시홈플러스(주)영통점경기도 수원시 영통구 봉영로 1576경기도 수원시 영통구 영통동 994-2번지 영통홈플러스 2층매우우수2023-06-15식약처37.251813127.0726082
3의왕시롯데마트의왕점경기도 의왕시 계원대학로 7경기도 의왕시 내손동 743번지매우우수2022-03-14식약처37.38058126.9728962
4포천시홈플러스(주)경기도 포천시 소흘읍 솔모루로 9경기도 포천시 소흘읍 송우리 730-60번지매우우수2023-05-22식약처37.82433127.1412882