Overview

Dataset statistics

Number of variables9
Number of observations189
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.0 KiB
Average record size in memory75.7 B

Variable types

Numeric3
Categorical3
Text3

Dataset

Description인천광역시 미추홀구 아동급식카드(푸르미) 가맹점 현황에 대한 데이터로 관할동, 상호명, 대표자명, 업종, 업태, 도로명주소, 죄표값 등을 제공합니다.
URLhttps://www.data.go.kr/data/15085691/fileData.do

Alerts

업종 has constant value ""Constant
연번 is highly overall correlated with 경도 and 1 other fieldsHigh correlation
위도 is highly overall correlated with 관할동High correlation
경도 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
관할동 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
연번 has unique valuesUnique
대표자명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:45:26.876357
Analysis finished2023-12-12 10:45:29.367900
Duration2.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct189
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95
Minimum1
Maximum189
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-12T19:45:29.465702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.4
Q148
median95
Q3142
95-th percentile179.6
Maximum189
Range188
Interquartile range (IQR)94

Descriptive statistics

Standard deviation54.703748
Coefficient of variation (CV)0.57582892
Kurtosis-1.2
Mean95
Median Absolute Deviation (MAD)47
Skewness0
Sum17955
Variance2992.5
MonotonicityStrictly increasing
2023-12-12T19:45:29.644668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
131 1
 
0.5%
122 1
 
0.5%
123 1
 
0.5%
124 1
 
0.5%
125 1
 
0.5%
126 1
 
0.5%
127 1
 
0.5%
128 1
 
0.5%
129 1
 
0.5%
Other values (179) 179
94.7%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
189 1
0.5%
188 1
0.5%
187 1
0.5%
186 1
0.5%
185 1
0.5%
184 1
0.5%
183 1
0.5%
182 1
0.5%
181 1
0.5%
180 1
0.5%

관할동
Categorical

HIGH CORRELATION 

Distinct21
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
도화2.3동
18 
용현5동
15 
용현2동
 
12
용현3동
 
12
문학동
 
12
Other values (16)
120 

Length

Max length6
Median length4
Mean length4.2380952
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row숭의1.3동
2nd row숭의1.3동
3rd row숭의1.3동
4th row숭의1.3동
5th row숭의1.3동

Common Values

ValueCountFrequency (%)
도화2.3동 18
 
9.5%
용현5동 15
 
7.9%
용현2동 12
 
6.3%
용현3동 12
 
6.3%
문학동 12
 
6.3%
주안1동 11
 
5.8%
학익1동 10
 
5.3%
학익2동 10
 
5.3%
주안4동 9
 
4.8%
관교동 9
 
4.8%
Other values (11) 71
37.6%

Length

2023-12-12T19:45:29.814003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
도화2.3동 18
 
9.5%
용현5동 15
 
7.9%
용현2동 12
 
6.3%
용현3동 12
 
6.3%
문학동 12
 
6.3%
주안1동 11
 
5.8%
학익1동 10
 
5.3%
학익2동 10
 
5.3%
주안4동 9
 
4.8%
관교동 9
 
4.8%
Other values (11) 71
37.6%

상호명
Text

Distinct174
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-12T19:45:30.188105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length7.3915344
Min length2

Characters and Unicode

Total characters1397
Distinct characters289
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique171 ?
Unique (%)90.5%

Sample

1st row파리마게트 미추홀구청점
2nd row배터지는 생동까스
3rd row본 죽&비빔밥 인천숭의스타디움점
4th row윤가원
5th row송도즉석반찬 숭의점
ValueCountFrequency (%)
김밥천국 12
 
4.1%
파리바게뜨 12
 
4.1%
뚜레쥬르 7
 
2.4%
파리바게트 7
 
2.4%
본 6
 
2.1%
죽&비빔밥 6
 
2.1%
김밥나라 5
 
1.7%
용현점 5
 
1.7%
본죽 5
 
1.7%
주안점 4
 
1.4%
Other values (205) 223
76.4%
2023-12-12T19:45:30.669912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
103
 
7.4%
점 74
 
5.3%
밥 45
 
3.2%
리 36
 
2.6%
김 33
 
2.4%
천 33
 
2.4%
바 28
 
2.0%
인 25
 
1.8%
파 24
 
1.7%
이 23
 
1.6%
Other values (279) 973
69.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1249
89.4%
Space Separator 103
 
7.4%
Lowercase Letter 13
 
0.9%
Other Punctuation 11
 
0.8%
Close Punctuation 6
 
0.4%
Open Punctuation 6
 
0.4%
Uppercase Letter 6
 
0.4%
Decimal Number 2
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 74
 
5.9%
밥 45
 
3.6%
리 36
 
2.9%
김 33
 
2.6%
천 33
 
2.6%
바 28
 
2.2%
인 25
 
2.0%
파 24
 
1.9%
이 23
 
1.8%
게 23
 
1.8%
Other values (258) 905
72.5%
Lowercase Letter
ValueCountFrequency (%)
p 3
23.1%
e 2
15.4%
a 2
15.4%
h 1
 
7.7%
j 1
 
7.7%
n 1
 
7.7%
g 1
 
7.7%
i 1
 
7.7%
f 1
 
7.7%
Uppercase Letter
ValueCountFrequency (%)
C 2
33.3%
T 1
16.7%
H 1
16.7%
B 1
16.7%
D 1
16.7%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
103
100.0%
Other Punctuation
ValueCountFrequency (%)
& 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1249
89.4%
Common 129
 
9.2%
Latin 19
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 74
 
5.9%
밥 45
 
3.6%
리 36
 
2.9%
김 33
 
2.6%
천 33
 
2.6%
바 28
 
2.2%
인 25
 
2.0%
파 24
 
1.9%
이 23
 
1.8%
게 23
 
1.8%
Other values (258) 905
72.5%
Latin
ValueCountFrequency (%)
p 3
15.8%
e 2
10.5%
a 2
10.5%
C 2
10.5%
T 1
 
5.3%
h 1
 
5.3%
j 1
 
5.3%
n 1
 
5.3%
g 1
 
5.3%
H 1
 
5.3%
Other values (4) 4
21.1%
Common
ValueCountFrequency (%)
103
79.8%
& 11
 
8.5%
) 6
 
4.7%
( 6
 
4.7%
2 1
 
0.8%
- 1
 
0.8%
1 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1249
89.4%
ASCII 148
 
10.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
103
69.6%
& 11
 
7.4%
) 6
 
4.1%
( 6
 
4.1%
p 3
 
2.0%
e 2
 
1.4%
a 2
 
1.4%
C 2
 
1.4%
T 1
 
0.7%
h 1
 
0.7%
Other values (11) 11
 
7.4%
Hangul
ValueCountFrequency (%)
점 74
 
5.9%
밥 45
 
3.6%
리 36
 
2.9%
김 33
 
2.6%
천 33
 
2.6%
바 28
 
2.2%
인 25
 
2.0%
파 24
 
1.9%
이 23
 
1.8%
게 23
 
1.8%
Other values (258) 905
72.5%

대표자명
Text

UNIQUE 

Distinct189
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-12T19:45:31.128061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length3
Mean length3.2380952
Min length3

Characters and Unicode

Total characters612
Distinct characters147
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique189 ?
Unique (%)100.0%

Sample

1st row김나경
2nd row김나윤
3rd row이윤정
4th row윤병철
5th row공재식
ValueCountFrequency (%)
1명 3
 
1.5%
김성호 2
 
1.0%
김순자 1
 
0.5%
서상경 1
 
0.5%
이광천 1
 
0.5%
강미화 1
 
0.5%
정윤선 1
 
0.5%
이승자 1
 
0.5%
임숙녀 1
 
0.5%
박주성 1
 
0.5%
Other values (183) 183
93.4%
2023-12-12T19:45:31.792727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 41
 
6.7%
이 29
 
4.7%
숙 21
 
3.4%
정 20
 
3.3%
박 20
 
3.3%
영 19
 
3.1%
진 16
 
2.6%
순 15
 
2.5%
미 15
 
2.5%
희 14
 
2.3%
Other values (137) 402
65.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 586
95.8%
Uppercase Letter 10
 
1.6%
Space Separator 7
 
1.1%
Decimal Number 5
 
0.8%
Other Punctuation 2
 
0.3%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 41
 
7.0%
이 29
 
4.9%
숙 21
 
3.6%
정 20
 
3.4%
박 20
 
3.4%
영 19
 
3.2%
진 16
 
2.7%
순 15
 
2.6%
미 15
 
2.6%
희 14
 
2.4%
Other values (122) 376
64.2%
Uppercase Letter
ValueCountFrequency (%)
N 2
20.0%
U 1
10.0%
C 1
10.0%
I 1
10.0%
J 1
10.0%
X 1
10.0%
G 1
10.0%
E 1
10.0%
H 1
10.0%
Decimal Number
ValueCountFrequency (%)
1 4
80.0%
2 1
 
20.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 586
95.8%
Common 16
 
2.6%
Latin 10
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 41
 
7.0%
이 29
 
4.9%
숙 21
 
3.6%
정 20
 
3.4%
박 20
 
3.4%
영 19
 
3.2%
진 16
 
2.7%
순 15
 
2.6%
미 15
 
2.6%
희 14
 
2.4%
Other values (122) 376
64.2%
Latin
ValueCountFrequency (%)
N 2
20.0%
U 1
10.0%
C 1
10.0%
I 1
10.0%
J 1
10.0%
X 1
10.0%
G 1
10.0%
E 1
10.0%
H 1
10.0%
Common
ValueCountFrequency (%)
7
43.8%
1 4
25.0%
, 2
 
12.5%
) 1
 
6.2%
( 1
 
6.2%
2 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 586
95.8%
ASCII 26
 
4.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 41
 
7.0%
이 29
 
4.9%
숙 21
 
3.6%
정 20
 
3.4%
박 20
 
3.4%
영 19
 
3.2%
진 16
 
2.7%
순 15
 
2.6%
미 15
 
2.6%
희 14
 
2.4%
Other values (122) 376
64.2%
ASCII
ValueCountFrequency (%)
7
26.9%
1 4
15.4%
N 2
 
7.7%
, 2
 
7.7%
U 1
 
3.8%
C 1
 
3.8%
) 1
 
3.8%
I 1
 
3.8%
J 1
 
3.8%
( 1
 
3.8%
Other values (5) 5
19.2%

업종
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
일반음식점
189 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 189
100.0%

Length

2023-12-12T19:45:31.991728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:45:32.128812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 189
100.0%

업태
Categorical

Distinct5
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
한식
65 
분식
63 
제과점
48 
중식
11 
반찬
 
2

Length

Max length3
Median length2
Mean length2.2539683
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row제과점
2nd row분식
3rd row한식
4th row중식
5th row반찬

Common Values

ValueCountFrequency (%)
한식 65
34.4%
분식 63
33.3%
제과점 48
25.4%
중식 11
 
5.8%
반찬 2
 
1.1%

Length

2023-12-12T19:45:32.272195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:45:32.448507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한식 65
34.4%
분식 63
33.3%
제과점 48
25.4%
중식 11
 
5.8%
반찬 2
 
1.1%

도로명주소
Text

Distinct180
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-12T19:45:32.745522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length35
Mean length27.84127
Min length17

Characters and Unicode

Total characters5262
Distinct characters179
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique171 ?
Unique (%)90.5%

Sample

1st row인천광역시 미추홀구 경인로 66 (숭의동)
2nd row인천광역시 미추홀구 석정로 105 (숭의동)
3rd row인천광역시 미추홀구 참외전로 268 (숭의동, 스타디움 센트럴시티)
4th row인천광역시 미추홀구 미추로 61 (숭의동, 광해리드빌)
5th row인천광역시 미추홀구 인중로 10 (숭의동)
ValueCountFrequency (%)
인천광역시 189
18.7%
미추홀구 189
18.7%
주안동 48
 
4.8%
용현동 43
 
4.3%
도화동 24
 
2.4%
학익동 20
 
2.0%
숭의동 19
 
1.9%
매소홀로 16
 
1.6%
인하로 13
 
1.3%
문학동 12
 
1.2%
Other values (285) 437
43.3%
2023-12-12T19:45:33.277851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
821
 
15.6%
인 241
 
4.6%
홀 217
 
4.1%
미 204
 
3.9%
추 202
 
3.8%
시 194
 
3.7%
광 193
 
3.7%
천 192
 
3.6%
역 189
 
3.6%
구 189
 
3.6%
Other values (169) 2620
49.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3346
63.6%
Space Separator 821
 
15.6%
Decimal Number 635
 
12.1%
Open Punctuation 173
 
3.3%
Close Punctuation 173
 
3.3%
Other Punctuation 65
 
1.2%
Dash Punctuation 26
 
0.5%
Uppercase Letter 19
 
0.4%
Lowercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 241
 
7.2%
홀 217
 
6.5%
미 204
 
6.1%
추 202
 
6.0%
시 194
 
5.8%
광 193
 
5.8%
천 192
 
5.7%
역 189
 
5.6%
구 189
 
5.6%
동 186
 
5.6%
Other values (143) 1339
40.0%
Decimal Number
ValueCountFrequency (%)
1 97
15.3%
2 94
14.8%
3 89
14.0%
4 73
11.5%
5 66
10.4%
8 50
7.9%
7 47
7.4%
6 47
7.4%
0 40
6.3%
9 32
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
S 4
21.1%
N 2
10.5%
E 2
10.5%
I 2
10.5%
K 2
10.5%
V 2
10.5%
B 2
10.5%
W 2
10.5%
C 1
 
5.3%
Lowercase Letter
ValueCountFrequency (%)
k 2
50.0%
y 2
50.0%
Space Separator
ValueCountFrequency (%)
821
100.0%
Open Punctuation
ValueCountFrequency (%)
( 173
100.0%
Close Punctuation
ValueCountFrequency (%)
) 173
100.0%
Other Punctuation
ValueCountFrequency (%)
, 65
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3346
63.6%
Common 1893
36.0%
Latin 23
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 241
 
7.2%
홀 217
 
6.5%
미 204
 
6.1%
추 202
 
6.0%
시 194
 
5.8%
광 193
 
5.8%
천 192
 
5.7%
역 189
 
5.6%
구 189
 
5.6%
동 186
 
5.6%
Other values (143) 1339
40.0%
Common
ValueCountFrequency (%)
821
43.4%
( 173
 
9.1%
) 173
 
9.1%
1 97
 
5.1%
2 94
 
5.0%
3 89
 
4.7%
4 73
 
3.9%
5 66
 
3.5%
, 65
 
3.4%
8 50
 
2.6%
Other values (5) 192
 
10.1%
Latin
ValueCountFrequency (%)
S 4
17.4%
N 2
8.7%
E 2
8.7%
I 2
8.7%
K 2
8.7%
k 2
8.7%
y 2
8.7%
V 2
8.7%
B 2
8.7%
W 2
8.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3346
63.6%
ASCII 1916
36.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
821
42.8%
( 173
 
9.0%
) 173
 
9.0%
1 97
 
5.1%
2 94
 
4.9%
3 89
 
4.6%
4 73
 
3.8%
5 66
 
3.4%
, 65
 
3.4%
8 50
 
2.6%
Other values (16) 215
 
11.2%
Hangul
ValueCountFrequency (%)
인 241
 
7.2%
홀 217
 
6.5%
미 204
 
6.1%
추 202
 
6.0%
시 194
 
5.8%
광 193
 
5.8%
천 192
 
5.7%
역 189
 
5.6%
구 189
 
5.6%
동 186
 
5.6%
Other values (143) 1339
40.0%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct176
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.454941
Minimum37.436615
Maximum37.476986
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-12T19:45:33.465683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.436615
5-th percentile37.43832
Q137.448244
median37.456692
Q337.463399
95-th percentile37.469812
Maximum37.476986
Range0.04037099
Interquartile range (IQR)0.01515503

Descriptive statistics

Standard deviation0.0099637122
Coefficient of variation (CV)0.00026601863
Kurtosis-1.0073673
Mean37.454941
Median Absolute Deviation (MAD)0.00762573
Skewness-0.1745275
Sum7078.9838
Variance9.9275561 × 10-5
MonotonicityNot monotonic
2023-12-12T19:45:33.631105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.45201495 3
 
1.6%
37.45658195 2
 
1.1%
37.46809473 2
 
1.1%
37.44838287 2
 
1.1%
37.4414509 2
 
1.1%
37.44230152 2
 
1.1%
37.4701339 2
 
1.1%
37.46584882 2
 
1.1%
37.46431782 2
 
1.1%
37.43975877 2
 
1.1%
Other values (166) 168
88.9%
ValueCountFrequency (%)
37.43661464 1
0.5%
37.43661838 1
0.5%
37.43675754 1
0.5%
37.43683555 1
0.5%
37.43736832 1
0.5%
37.43750632 1
0.5%
37.43758933 1
0.5%
37.4376644 1
0.5%
37.43767257 1
0.5%
37.43831613 1
0.5%
ValueCountFrequency (%)
37.47698563 1
0.5%
37.47260624 1
0.5%
37.47164327 2
1.1%
37.47079823 1
0.5%
37.4701339 2
1.1%
37.47001364 1
0.5%
37.46997459 1
0.5%
37.46991797 1
0.5%
37.46965414 1
0.5%
37.46900913 1
0.5%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct176
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.66744
Minimum126.63327
Maximum126.6985
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-12T19:45:33.875549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.63327
5-th percentile126.638
Q1126.65389
median126.66944
Q3126.68062
95-th percentile126.69465
Maximum126.6985
Range0.0652344
Interquartile range (IQR)0.0267321

Descriptive statistics

Standard deviation0.017314951
Coefficient of variation (CV)0.00013669615
Kurtosis-1.0374945
Mean126.66744
Median Absolute Deviation (MAD)0.0132567
Skewness-0.18058792
Sum23940.146
Variance0.00029980754
MonotonicityNot monotonic
2023-12-12T19:45:34.065202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.6450629 3
 
1.6%
126.6447539 2
 
1.1%
126.6620101 2
 
1.1%
126.6769385 2
 
1.1%
126.6619763 2
 
1.1%
126.6946747 2
 
1.1%
126.66299 2
 
1.1%
126.6802141 2
 
1.1%
126.6485176 2
 
1.1%
126.6748414 2
 
1.1%
Other values (166) 168
88.9%
ValueCountFrequency (%)
126.6332704 1
0.5%
126.6339105 1
0.5%
126.634319 1
0.5%
126.6343652 1
0.5%
126.6348264 1
0.5%
126.6348746 1
0.5%
126.6363738 1
0.5%
126.6374563 1
0.5%
126.6375116 1
0.5%
126.6378889 1
0.5%
ValueCountFrequency (%)
126.6985048 1
0.5%
126.6966793 1
0.5%
126.6954424 1
0.5%
126.695414 1
0.5%
126.6952992 1
0.5%
126.6950946 1
0.5%
126.694919 1
0.5%
126.6947749 1
0.5%
126.6946747 2
1.1%
126.6946024 1
0.5%

Interactions

2023-12-12T19:45:28.737221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:45:27.506126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:45:28.308520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:45:28.875390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:45:27.648989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:45:28.435062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:45:28.999901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:45:28.169269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:45:28.592376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:45:34.202743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번관할동업태위도경도
연번1.0000.9800.2890.8740.829
관할동0.9801.0000.2280.9230.913
업태0.2890.2281.0000.3080.000
위도0.8740.9230.3081.0000.741
경도0.8290.9130.0000.7411.000
2023-12-12T19:45:34.325504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업태관할동
업태1.0000.106
관할동0.1061.000
2023-12-12T19:45:34.441958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도관할동업태
연번1.000-0.2960.8670.8500.128
위도-0.2961.000-0.2290.6540.130
경도0.867-0.2291.0000.6280.000
관할동0.8500.6540.6281.0000.106
업태0.1280.1300.0000.1061.000

Missing values

2023-12-12T19:45:29.164139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:45:29.302673image/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.

Sample

연번관할동상호명대표자명업종업태도로명주소위도경도
01숭의1.3동파리마게트 미추홀구청점김나경일반음식점제과점인천광역시 미추홀구 경인로 66 (숭의동)37.465022126.650263
12숭의1.3동배터지는 생동까스김나윤일반음식점분식인천광역시 미추홀구 석정로 105 (숭의동)37.468392126.647005
23숭의1.3동본 죽&비빔밥 인천숭의스타디움점이윤정일반음식점한식인천광역시 미추홀구 참외전로 268 (숭의동, 스타디움 센트럴시티)37.467642126.643012
34숭의1.3동윤가원윤병철일반음식점중식인천광역시 미추홀구 미추로 61 (숭의동, 광해리드빌)37.465471126.645336
45숭의1.3동송도즉석반찬 숭의점공재식일반음식점반찬인천광역시 미추홀구 인중로 10 (숭의동)37.462779126.641629
56숭의1.3동밥집장혜진일반음식점한식인천광역시 미추홀구 경인로 50 (숭의동)37.464318126.648518
67숭의1.3동김밥천국김귀순일반음식점분식인천광역시 미추홀구 석정로 128 (숭의동, B동)37.468503126.649434
78숭의1.3동숭의골 돌솥추어탕박혜정일반음식점한식인천광역시 미추홀구 경인로41번길 27 (숭의동)37.465243126.646852
89숭의2동김밥속에 단무지김장분일반음식점분식인천광역시 미추홀구 경인로 50 (숭의동)37.464318126.648518
910숭의2동친정엄마밥상신수경일반음식점한식인천광역시 미추홀구 독배로492번길 18 (숭의동)37.462172126.645049
연번관할동상호명대표자명업종업태도로명주소위도경도
179180문학동신교동짬뽕이용규일반음식점중식인천광역시 미추홀구 소성로 300 (문학동)37.437589126.680398
180181문학동손수제비랑 찌개랑이희진일반음식점한식인천광역시 미추홀구 소성로 323 (문학동)37.437673126.683305
181182문학동푸드트럭김정원일반음식점한식인천광역시 미추홀구 문학길 38 (문학동)37.436836126.680969
182183문학동정시푸드송주하일반음식점한식인천광역시 미추홀구 문학동 385-937.437506126.685394
183184문학동미소이해숙일반음식점한식인천광역시 미추홀구 문학길 4 (문학동)37.438545126.681077
184185문학동꾸잉꾸잉분식박미진일반음식점분식인천광역시 미추홀구 문학길 9-37 (문학동)37.438325126.682341
185186문학동한끼토스트김양숙일반음식점분식인천광역시 미추홀구 소성로350번길 16 (문학동)37.436615126.685821
186187문학동떡순이랑 튀군이랑김여숙일반음식점분식인천광역시 미추홀구 매소홀로 552 (문학동)37.438316126.683294
187188문학동김밥나라김태혁일반음식점분식인천광역시 미추홀구 소성로350번길 17 (문학동)37.436618126.686108
188189문학동올리브 떡볶이최연숙일반음식점분식인천광역시 미추홀구 소성로350번길 13 (문학동, 문학빌딩)37.436758126.686125