Overview

Dataset statistics

Number of variables8
Number of observations271
Missing cells13
Missing cells (%)0.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.3 KiB
Average record size in memory65.5 B

Variable types

Numeric1
Text4
Categorical3

Dataset

Description성남시 관내 안심식당현황입니다.안심식당이란 "공용 음식을 개인 수저로 떠먹는 행위" 등 감염병에 취약한 식사문화를 개선하고,생활방역 수칙을 준수하는 음식점을 나타냅니다.
Author경기도 성남시
URLhttps://www.data.go.kr/data/15125617/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
업종 is highly imbalanced (86.7%)Imbalance
상세주소 has 12 (4.4%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-23 08:08:10.879809
Analysis finished2023-12-23 08:08:15.067458
Duration4.19 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct271
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean136
Minimum1
Maximum271
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-23T08:08:15.368076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile14.5
Q168.5
median136
Q3203.5
95-th percentile257.5
Maximum271
Range270
Interquartile range (IQR)135

Descriptive statistics

Standard deviation78.375166
Coefficient of variation (CV)0.57628799
Kurtosis-1.2
Mean136
Median Absolute Deviation (MAD)68
Skewness0
Sum36856
Variance6142.6667
MonotonicityStrictly increasing
2023-12-23T08:08:15.908797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
180 1
 
0.4%
186 1
 
0.4%
185 1
 
0.4%
184 1
 
0.4%
183 1
 
0.4%
182 1
 
0.4%
181 1
 
0.4%
179 1
 
0.4%
2 1
 
0.4%
Other values (261) 261
96.3%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
271 1
0.4%
270 1
0.4%
269 1
0.4%
268 1
0.4%
267 1
0.4%
266 1
0.4%
265 1
0.4%
264 1
0.4%
263 1
0.4%
262 1
0.4%
Distinct270
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-23T08:08:16.517025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length11
Mean length6.8265683
Min length2

Characters and Unicode

Total characters1850
Distinct characters344
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique269 ?
Unique (%)99.3%

Sample

1st row스시메이커
2nd row등갈비달인 모란 본점
3rd row소코아 위례
4th row백소정 미금역점
5th row바우네나주곰탕
ValueCountFrequency (%)
판교점 8
 
2.4%
정자점 4
 
1.2%
소호정 3
 
0.9%
분당야탑점 3
 
0.9%
꾸천가 2
 
0.6%
양우정 2
 
0.6%
성남점 2
 
0.6%
서현점 2
 
0.6%
보돌미역 2
 
0.6%
백소정 2
 
0.6%
Other values (304) 306
91.1%
2023-12-23T08:08:17.674474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
125
 
6.8%
66
 
3.6%
48
 
2.6%
47
 
2.5%
32
 
1.7%
30
 
1.6%
29
 
1.6%
28
 
1.5%
28
 
1.5%
27
 
1.5%
Other values (334) 1390
75.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1717
92.8%
Space Separator 66
 
3.6%
Close Punctuation 14
 
0.8%
Open Punctuation 14
 
0.8%
Decimal Number 14
 
0.8%
Uppercase Letter 9
 
0.5%
Lowercase Letter 8
 
0.4%
Other Symbol 4
 
0.2%
Other Punctuation 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
125
 
7.3%
48
 
2.8%
47
 
2.7%
32
 
1.9%
30
 
1.7%
29
 
1.7%
28
 
1.6%
28
 
1.6%
27
 
1.6%
26
 
1.5%
Other values (304) 1297
75.5%
Uppercase Letter
ValueCountFrequency (%)
L 2
22.2%
W 1
11.1%
S 1
11.1%
J 1
11.1%
N 1
11.1%
A 1
11.1%
E 1
11.1%
M 1
11.1%
Lowercase Letter
ValueCountFrequency (%)
a 1
12.5%
p 1
12.5%
m 1
12.5%
v 1
12.5%
o 1
12.5%
t 1
12.5%
b 1
12.5%
y 1
12.5%
Decimal Number
ValueCountFrequency (%)
1 5
35.7%
9 3
21.4%
8 2
 
14.3%
4 1
 
7.1%
5 1
 
7.1%
6 1
 
7.1%
2 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
& 2
50.0%
; 1
25.0%
. 1
25.0%
Space Separator
ValueCountFrequency (%)
66
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Other Symbol
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1720
93.0%
Common 112
 
6.1%
Latin 17
 
0.9%
Han 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
125
 
7.3%
48
 
2.8%
47
 
2.7%
32
 
1.9%
30
 
1.7%
29
 
1.7%
28
 
1.6%
28
 
1.6%
27
 
1.6%
26
 
1.5%
Other values (304) 1300
75.6%
Latin
ValueCountFrequency (%)
L 2
 
11.8%
a 1
 
5.9%
p 1
 
5.9%
m 1
 
5.9%
W 1
 
5.9%
S 1
 
5.9%
J 1
 
5.9%
N 1
 
5.9%
A 1
 
5.9%
E 1
 
5.9%
Other values (6) 6
35.3%
Common
ValueCountFrequency (%)
66
58.9%
) 14
 
12.5%
( 14
 
12.5%
1 5
 
4.5%
9 3
 
2.7%
8 2
 
1.8%
& 2
 
1.8%
; 1
 
0.9%
4 1
 
0.9%
5 1
 
0.9%
Other values (3) 3
 
2.7%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1716
92.8%
ASCII 129
 
7.0%
None 4
 
0.2%
CJK 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
125
 
7.3%
48
 
2.8%
47
 
2.7%
32
 
1.9%
30
 
1.7%
29
 
1.7%
28
 
1.6%
28
 
1.6%
27
 
1.6%
26
 
1.5%
Other values (303) 1296
75.5%
ASCII
ValueCountFrequency (%)
66
51.2%
) 14
 
10.9%
( 14
 
10.9%
1 5
 
3.9%
9 3
 
2.3%
L 2
 
1.6%
8 2
 
1.6%
& 2
 
1.6%
a 1
 
0.8%
; 1
 
0.8%
Other values (19) 19
 
14.7%
None
ValueCountFrequency (%)
4
100.0%
CJK
ValueCountFrequency (%)
1
100.0%

업종
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
일반음식점
266 
일반음식점_외
 
5

Length

Max length7
Median length5
Mean length5.0369004
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 266
98.2%
일반음식점_외 5
 
1.8%

Length

2023-12-23T08:08:18.423885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-23T08:08:19.193980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 266
98.2%
일반음식점_외 5
 
1.8%

업종상세
Categorical

Distinct6
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
한식
181 
일식
31 
서양식
21 
기타 음식점업
 
15
중식
 
12

Length

Max length7
Median length2
Mean length2.4760148
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일식
2nd row한식
3rd row일식
4th row일식
5th row한식

Common Values

ValueCountFrequency (%)
한식 181
66.8%
일식 31
 
11.4%
서양식 21
 
7.7%
기타 음식점업 15
 
5.5%
중식 12
 
4.4%
기타외국식 11
 
4.1%

Length

2023-12-23T08:08:19.666226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-23T08:08:20.179759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한식 181
63.3%
일식 31
 
10.8%
서양식 21
 
7.3%
기타 15
 
5.2%
음식점업 15
 
5.2%
중식 12
 
4.2%
기타외국식 11
 
3.8%
Distinct257
Distinct (%)95.2%
Missing1
Missing (%)0.4%
Memory size2.2 KiB
2023-12-23T08:08:21.105168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.333333
Min length12

Characters and Unicode

Total characters3330
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique248 ?
Unique (%)91.9%

Sample

1st row031-722-2978
2nd row031-722-0889
3rd row031-8023-9773
4th row031-8039-6050
5th row031-712-5258
ValueCountFrequency (%)
031-5170-1066 5
 
1.9%
0507-1357-9888 3
 
1.1%
031-718-3999 2
 
0.7%
0507-1362-1492 2
 
0.7%
031-713-7123 2
 
0.7%
031-719-5570 2
 
0.7%
031-712-7155 2
 
0.7%
031-625-7883 2
 
0.7%
031-717-7597 2
 
0.7%
031-756-5398 1
 
0.4%
Other values (247) 247
91.5%
2023-12-23T08:08:22.443906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 539
16.2%
0 535
16.1%
1 475
14.3%
3 386
11.6%
7 385
11.6%
5 259
7.8%
2 188
 
5.6%
8 175
 
5.3%
9 147
 
4.4%
6 121
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2791
83.8%
Dash Punctuation 539
 
16.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 535
19.2%
1 475
17.0%
3 386
13.8%
7 385
13.8%
5 259
9.3%
2 188
 
6.7%
8 175
 
6.3%
9 147
 
5.3%
6 121
 
4.3%
4 120
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 539
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3330
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 539
16.2%
0 535
16.1%
1 475
14.3%
3 386
11.6%
7 385
11.6%
5 259
7.8%
2 188
 
5.6%
8 175
 
5.3%
9 147
 
4.4%
6 121
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3330
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 539
16.2%
0 535
16.1%
1 475
14.3%
3 386
11.6%
7 385
11.6%
5 259
7.8%
2 188
 
5.6%
8 175
 
5.3%
9 147
 
4.4%
6 121
 
3.6%
Distinct210
Distinct (%)77.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-23T08:08:23.018550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length25
Mean length21.690037
Min length17

Characters and Unicode

Total characters5878
Distinct characters105
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

Unique186 ?
Unique (%)68.6%

Sample

1st row경기도 성남시 수정구 위례광장로 104
2nd row경기도 성남시 중원구 제일로35번길 52
3rd row경기도 성남시 수정구 위례순환로4길 19
4th row경기도 성남시 분당구 돌마로 51
5th row경기도 성남시 분당구 정자일로 25
ValueCountFrequency (%)
경기도 271
20.0%
성남시 271
20.0%
분당구 166
 
12.3%
수정구 62
 
4.6%
중원구 43
 
3.2%
20 25
 
1.8%
판교역로146번길 24
 
1.8%
정자일로 12
 
0.9%
10 11
 
0.8%
25 10
 
0.7%
Other values (260) 460
33.9%
2023-12-23T08:08:24.338571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1084
18.4%
300
 
5.1%
298
 
5.1%
274
 
4.7%
273
 
4.6%
273
 
4.6%
272
 
4.6%
271
 
4.6%
271
 
4.6%
1 242
 
4.1%
Other values (95) 2320
39.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3730
63.5%
Space Separator 1084
 
18.4%
Decimal Number 1023
 
17.4%
Dash Punctuation 41
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
300
 
8.0%
298
 
8.0%
274
 
7.3%
273
 
7.3%
273
 
7.3%
272
 
7.3%
271
 
7.3%
271
 
7.3%
169
 
4.5%
169
 
4.5%
Other values (83) 1160
31.1%
Decimal Number
ValueCountFrequency (%)
1 242
23.7%
2 126
12.3%
4 101
9.9%
0 92
 
9.0%
6 91
 
8.9%
5 90
 
8.8%
3 88
 
8.6%
7 80
 
7.8%
9 61
 
6.0%
8 52
 
5.1%
Space Separator
ValueCountFrequency (%)
1084
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3730
63.5%
Common 2148
36.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
300
 
8.0%
298
 
8.0%
274
 
7.3%
273
 
7.3%
273
 
7.3%
272
 
7.3%
271
 
7.3%
271
 
7.3%
169
 
4.5%
169
 
4.5%
Other values (83) 1160
31.1%
Common
ValueCountFrequency (%)
1084
50.5%
1 242
 
11.3%
2 126
 
5.9%
4 101
 
4.7%
0 92
 
4.3%
6 91
 
4.2%
5 90
 
4.2%
3 88
 
4.1%
7 80
 
3.7%
9 61
 
2.8%
Other values (2) 93
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3730
63.5%
ASCII 2148
36.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1084
50.5%
1 242
 
11.3%
2 126
 
5.9%
4 101
 
4.7%
0 92
 
4.3%
6 91
 
4.2%
5 90
 
4.2%
3 88
 
4.1%
7 80
 
3.7%
9 61
 
2.8%
Other values (2) 93
 
4.3%
Hangul
ValueCountFrequency (%)
300
 
8.0%
298
 
8.0%
274
 
7.3%
273
 
7.3%
273
 
7.3%
272
 
7.3%
271
 
7.3%
271
 
7.3%
169
 
4.5%
169
 
4.5%
Other values (83) 1160
31.1%

상세주소
Text

MISSING 

Distinct156
Distinct (%)60.2%
Missing12
Missing (%)4.4%
Memory size2.2 KiB
2023-12-23T08:08:25.359127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length33
Mean length10.158301
Min length2

Characters and Unicode

Total characters2631
Distinct characters206
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique145 ?
Unique (%)56.0%

Sample

1st row위례한화오벨리스크 센트럴스퀘어 2층 2246호(창곡동)
2nd row1층 (성남동)
3rd row1층(창곡동)
4th row천사의도시2 오피스텔 1층 101호(금곡동)
5th row, 대덕프라자2 2층 201호(금곡동)
ValueCountFrequency (%)
1층 133
24.3%
2층 33
 
6.0%
현대백화점 23
 
4.2%
지하1층 20
 
3.6%
9층 11
 
2.0%
정자동 7
 
1.3%
서현동 6
 
1.1%
c1동 6
 
1.1%
102호 6
 
1.1%
101호 5
 
0.9%
Other values (230) 298
54.4%
2023-12-23T08:08:27.061828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 326
 
12.4%
294
 
11.2%
225
 
8.6%
127
 
4.8%
2 126
 
4.8%
112
 
4.3%
, 84
 
3.2%
0 80
 
3.0%
( 61
 
2.3%
) 61
 
2.3%
Other values (196) 1135
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1420
54.0%
Decimal Number 654
24.9%
Space Separator 294
 
11.2%
Other Punctuation 84
 
3.2%
Open Punctuation 61
 
2.3%
Close Punctuation 61
 
2.3%
Uppercase Letter 32
 
1.2%
Dash Punctuation 14
 
0.5%
Math Symbol 6
 
0.2%
Lowercase Letter 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
225
 
15.8%
127
 
8.9%
112
 
7.9%
46
 
3.2%
43
 
3.0%
38
 
2.7%
38
 
2.7%
34
 
2.4%
27
 
1.9%
26
 
1.8%
Other values (163) 704
49.6%
Uppercase Letter
ValueCountFrequency (%)
B 9
28.1%
C 8
25.0%
A 4
12.5%
K 3
 
9.4%
E 1
 
3.1%
W 1
 
3.1%
I 1
 
3.1%
T 1
 
3.1%
V 1
 
3.1%
Y 1
 
3.1%
Other values (2) 2
 
6.2%
Decimal Number
ValueCountFrequency (%)
1 326
49.8%
2 126
 
19.3%
0 80
 
12.2%
3 27
 
4.1%
4 23
 
3.5%
6 19
 
2.9%
9 17
 
2.6%
5 15
 
2.3%
8 11
 
1.7%
7 10
 
1.5%
Lowercase Letter
ValueCountFrequency (%)
r 1
20.0%
e 1
20.0%
w 1
20.0%
o 1
20.0%
t 1
20.0%
Space Separator
ValueCountFrequency (%)
294
100.0%
Other Punctuation
ValueCountFrequency (%)
, 84
100.0%
Open Punctuation
ValueCountFrequency (%)
( 61
100.0%
Close Punctuation
ValueCountFrequency (%)
) 61
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1420
54.0%
Common 1174
44.6%
Latin 37
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
225
 
15.8%
127
 
8.9%
112
 
7.9%
46
 
3.2%
43
 
3.0%
38
 
2.7%
38
 
2.7%
34
 
2.4%
27
 
1.9%
26
 
1.8%
Other values (163) 704
49.6%
Latin
ValueCountFrequency (%)
B 9
24.3%
C 8
21.6%
A 4
10.8%
K 3
 
8.1%
E 1
 
2.7%
W 1
 
2.7%
I 1
 
2.7%
T 1
 
2.7%
r 1
 
2.7%
e 1
 
2.7%
Other values (7) 7
18.9%
Common
ValueCountFrequency (%)
1 326
27.8%
294
25.0%
2 126
 
10.7%
, 84
 
7.2%
0 80
 
6.8%
( 61
 
5.2%
) 61
 
5.2%
3 27
 
2.3%
4 23
 
2.0%
6 19
 
1.6%
Other values (6) 73
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1420
54.0%
ASCII 1211
46.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 326
26.9%
294
24.3%
2 126
 
10.4%
, 84
 
6.9%
0 80
 
6.6%
( 61
 
5.0%
) 61
 
5.0%
3 27
 
2.2%
4 23
 
1.9%
6 19
 
1.6%
Other values (23) 110
 
9.1%
Hangul
ValueCountFrequency (%)
225
 
15.8%
127
 
8.9%
112
 
7.9%
46
 
3.2%
43
 
3.0%
38
 
2.7%
38
 
2.7%
34
 
2.4%
27
 
1.9%
26
 
1.8%
Other values (163) 704
49.6%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-14
271 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-12-14
2nd row2023-12-14
3rd row2023-12-14
4th row2023-12-14
5th row2023-12-14

Common Values

ValueCountFrequency (%)
2023-12-14 271
100.0%

Length

2023-12-23T08:08:27.690686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-23T08:08:28.130137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-12-14 271
100.0%

Interactions

2023-12-23T08:08:12.602336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-23T08:08:28.509332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종업종상세
연번1.0000.1670.463
업종0.1671.0000.248
업종상세0.4630.2481.000
2023-12-23T08:08:28.806456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종업종상세
업종1.0000.177
업종상세0.1771.000
2023-12-23T08:08:29.237715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종업종상세
연번1.0000.1260.260
업종0.1261.0000.177
업종상세0.2600.1771.000

Missing values

2023-12-23T08:08:13.177646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-23T08:08:14.268795image/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.
2023-12-23T08:08:14.846552image/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

연번식당명업종업종상세전화번호도로명주소상세주소데이터기준일자
01스시메이커일반음식점일식031-722-2978경기도 성남시 수정구 위례광장로 104위례한화오벨리스크 센트럴스퀘어 2층 2246호(창곡동)2023-12-14
12등갈비달인 모란 본점일반음식점한식031-722-0889경기도 성남시 중원구 제일로35번길 521층 (성남동)2023-12-14
23소코아 위례일반음식점일식031-8023-9773경기도 성남시 수정구 위례순환로4길 191층(창곡동)2023-12-14
34백소정 미금역점일반음식점일식031-8039-6050경기도 성남시 분당구 돌마로 51천사의도시2 오피스텔 1층 101호(금곡동)2023-12-14
45바우네나주곰탕일반음식점한식031-712-5258경기도 성남시 분당구 정자일로 25, 대덕프라자2 2층 201호(금곡동)2023-12-14
56착한참치일반음식점일식031-716-1005경기도 성남시 분당구 성남대로172번길 12(금곡동,현대아리온오피스텔 41호)2023-12-14
67봉미당일반음식점일식000-000-0000경기도 성남시 분당구 성남대로172번길 12, 11호(금곡동, 현대아리온오피스텔 1층)2023-12-14
78주식회사 블루샹하이일반음식점중식0507-1435-1278경기도 성남시 분당구 정자일로 197(정자동, 정자푸르지오시티2차 206호,207호,208호,209호)2023-12-14
89모랑 정자역점일반음식점한식031-711-3993경기도 성남시 분당구 정자일로 197(정자동, 정자동2차 푸르지오시티 213호,214호)2023-12-14
910다께야일반음식점일식031-719-1465경기도 성남시 분당구 발이봉북로 6(수내동,지상1층)2023-12-14
연번식당명업종업종상세전화번호도로명주소상세주소데이터기준일자
261262도원일반음식점중식031-732-1007경기도 성남시 중원구 둔촌대로 464101호2023-12-14
262263혼마스시일반음식점일식031-731-3733경기도 성남시 중원구 둔촌대로 395-1서동빌딩 1층2023-12-14
263264처가집일반음식점한식031-8018-2593경기도 성남시 중원구 사기막골로45번길 14B동 B311호2023-12-14
264265맛집춘향일반음식점한식031-749-0052경기도 성남시 중원구 산성대로466번길 41층2023-12-14
265266김봉현의 행운낙지일반음식점한식031-737-2755경기도 성남시 중원구 둔촌대로457번길 27102호2023-12-14
266267호차이니즈레스토랑일반음식점중식031-721-9998경기도 성남시 중원구 양현로405번길 5209호~212호2023-12-14
267268초원갈매기일반음식점한식031-702-8830경기도 성남시 중원구 성남대로997번길 51-181층2023-12-14
268269유황생오리일반음식점한식031-741-2534경기도 성남시 중원구 광명로347번길 111층2023-12-14
269270정가네 어죽마을일반음식점한식031-731-2288경기도 성남시 중원구 산성대로 4141층2023-12-14
270271도담칼국수일반음식점한식031-757-9991경기도 성남시 중원구 산성대로 942층2023-12-14