Overview

Dataset statistics

Number of variables7
Number of observations4439
Missing cells2413
Missing cells (%)7.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory255.9 KiB
Average record size in memory59.0 B

Variable types

Numeric3
Categorical1
Text3

Dataset

Description인천광역시 미추홀구의 일반음식점 현황에 대한 데이터로 연번, 업종명, 상호명, 소재지주소, 위도, 경도 등의 데이터를 제공합니다. (일반음식점: 음식류를 조리, 판매하는 영업으로서 식사와 함께 부수적으로 음주행위가 허용되는 영업)
URLhttps://www.data.go.kr/data/15070164/fileData.do

Alerts

업종명 has constant value ""Constant
전화번호 has 2413 (54.4%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:39:07.183826
Analysis finished2023-12-12 05:39:09.627296
Duration2.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct4439
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2220
Minimum1
Maximum4439
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size39.1 KiB
2023-12-12T14:39:09.744477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile222.9
Q11110.5
median2220
Q33329.5
95-th percentile4217.1
Maximum4439
Range4438
Interquartile range (IQR)2219

Descriptive statistics

Standard deviation1281.5733
Coefficient of variation (CV)0.57728525
Kurtosis-1.2
Mean2220
Median Absolute Deviation (MAD)1110
Skewness0
Sum9854580
Variance1642430
MonotonicityStrictly increasing
2023-12-12T14:39:09.902905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2959 1
 
< 0.1%
2965 1
 
< 0.1%
2964 1
 
< 0.1%
2963 1
 
< 0.1%
2962 1
 
< 0.1%
2961 1
 
< 0.1%
2960 1
 
< 0.1%
2958 1
 
< 0.1%
2950 1
 
< 0.1%
Other values (4429) 4429
99.8%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
4439 1
< 0.1%
4438 1
< 0.1%
4437 1
< 0.1%
4436 1
< 0.1%
4435 1
< 0.1%
4434 1
< 0.1%
4433 1
< 0.1%
4432 1
< 0.1%
4431 1
< 0.1%
4430 1
< 0.1%

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.8 KiB
일반음식점
4439 

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 4439
100.0%

Length

2023-12-12T14:39:10.036393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:39:10.144837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 4439
100.0%

업소명
Text

Distinct4190
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size34.8 KiB
2023-12-12T14:39:10.380340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length22
Mean length6.3545844
Min length1

Characters and Unicode

Total characters28208
Distinct characters906
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4022 ?
Unique (%)90.6%

Sample

1st row서문삼계탕
2nd row황금오리
3rd row금호횟집
4th row세컨드 찬스(second chance)
5th row화룽
ValueCountFrequency (%)
주안점 99
 
1.6%
용현점 59
 
1.0%
인하대점 58
 
0.9%
도화점 29
 
0.5%
카페 27
 
0.4%
인천도화점 23
 
0.4%
인하대역점 23
 
0.4%
인천주안점 23
 
0.4%
김밥천국 21
 
0.3%
인천 20
 
0.3%
Other values (4619) 5728
93.7%
2023-12-12T14:39:10.812956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1678
 
5.9%
점 838
 
3.0%
이 563
 
2.0%
주 398
 
1.4%
인 391
 
1.4%
식 374
 
1.3%
대 367
 
1.3%
리 348
 
1.2%
치 345
 
1.2%
스 317
 
1.1%
Other values (896) 22589
80.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24854
88.1%
Space Separator 1678
 
5.9%
Decimal Number 413
 
1.5%
Uppercase Letter 380
 
1.3%
Lowercase Letter 289
 
1.0%
Open Punctuation 241
 
0.9%
Close Punctuation 241
 
0.9%
Connector Punctuation 60
 
0.2%
Other Punctuation 47
 
0.2%
Dash Punctuation 2
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 838
 
3.4%
이 563
 
2.3%
주 398
 
1.6%
인 391
 
1.6%
식 374
 
1.5%
대 367
 
1.5%
리 348
 
1.4%
치 345
 
1.4%
스 317
 
1.3%
당 291
 
1.2%
Other values (821) 20622
83.0%
Uppercase Letter
ValueCountFrequency (%)
B 44
 
11.6%
C 40
 
10.5%
O 33
 
8.7%
A 28
 
7.4%
S 27
 
7.1%
H 24
 
6.3%
G 19
 
5.0%
M 17
 
4.5%
K 17
 
4.5%
E 16
 
4.2%
Other values (16) 115
30.3%
Lowercase Letter
ValueCountFrequency (%)
e 40
13.8%
a 33
11.4%
o 25
 
8.7%
n 21
 
7.3%
i 18
 
6.2%
c 16
 
5.5%
r 15
 
5.2%
l 15
 
5.2%
s 15
 
5.2%
d 10
 
3.5%
Other values (14) 81
28.0%
Decimal Number
ValueCountFrequency (%)
1 94
22.8%
0 62
15.0%
2 62
15.0%
9 50
12.1%
8 41
9.9%
3 31
 
7.5%
5 24
 
5.8%
7 18
 
4.4%
4 17
 
4.1%
6 14
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 17
36.2%
, 15
31.9%
' 7
14.9%
! 3
 
6.4%
· 2
 
4.3%
# 2
 
4.3%
: 1
 
2.1%
Math Symbol
ValueCountFrequency (%)
< 1
50.0%
> 1
50.0%
Space Separator
ValueCountFrequency (%)
1678
100.0%
Open Punctuation
ValueCountFrequency (%)
( 241
100.0%
Close Punctuation
ValueCountFrequency (%)
) 241
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 60
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24838
88.1%
Common 2684
 
9.5%
Latin 670
 
2.4%
Han 16
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 838
 
3.4%
이 563
 
2.3%
주 398
 
1.6%
인 391
 
1.6%
식 374
 
1.5%
대 367
 
1.5%
리 348
 
1.4%
치 345
 
1.4%
스 317
 
1.3%
당 291
 
1.2%
Other values (810) 20606
83.0%
Latin
ValueCountFrequency (%)
B 44
 
6.6%
e 40
 
6.0%
C 40
 
6.0%
a 33
 
4.9%
O 33
 
4.9%
A 28
 
4.2%
S 27
 
4.0%
o 25
 
3.7%
H 24
 
3.6%
n 21
 
3.1%
Other values (41) 355
53.0%
Common
ValueCountFrequency (%)
1678
62.5%
( 241
 
9.0%
) 241
 
9.0%
1 94
 
3.5%
0 62
 
2.3%
2 62
 
2.3%
_ 60
 
2.2%
9 50
 
1.9%
8 41
 
1.5%
3 31
 
1.2%
Other values (14) 124
 
4.6%
Han
ValueCountFrequency (%)
愛 4
25.0%
家 2
12.5%
肉 2
12.5%
韓 1
 
6.2%
新 1
 
6.2%
仁 1
 
6.2%
林 1
 
6.2%
作 1
 
6.2%
牛 1
 
6.2%
桃 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24833
88.0%
ASCII 3351
 
11.9%
CJK 16
 
0.1%
Compat Jamo 5
 
< 0.1%
None 2
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1678
50.1%
( 241
 
7.2%
) 241
 
7.2%
1 94
 
2.8%
0 62
 
1.9%
2 62
 
1.9%
_ 60
 
1.8%
9 50
 
1.5%
B 44
 
1.3%
8 41
 
1.2%
Other values (63) 778
23.2%
Hangul
ValueCountFrequency (%)
점 838
 
3.4%
이 563
 
2.3%
주 398
 
1.6%
인 391
 
1.6%
식 374
 
1.5%
대 367
 
1.5%
리 348
 
1.4%
치 345
 
1.4%
스 317
 
1.3%
당 291
 
1.2%
Other values (809) 20601
83.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 5
100.0%
CJK
ValueCountFrequency (%)
愛 4
25.0%
家 2
12.5%
肉 2
12.5%
韓 1
 
6.2%
新 1
 
6.2%
仁 1
 
6.2%
林 1
 
6.2%
作 1
 
6.2%
牛 1
 
6.2%
桃 1
 
6.2%
None
ValueCountFrequency (%)
· 2
100.0%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%

소재지
Text

Distinct4057
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Memory size34.8 KiB
2023-12-12T14:39:11.105104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length67
Mean length31.101149
Min length22

Characters and Unicode

Total characters138058
Distinct characters355
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3752 ?
Unique (%)84.5%

Sample

1st row인천광역시 미추홀구 미추홀대로 690 (주안동)
2nd row인천광역시 미추홀구 석정로 428 (주안동)
3rd row인천광역시 미추홀구 용삼길 75 (용현동)
4th row인천광역시 미추홀구 인하로 73 (용현동)
5th row인천광역시 미추홀구 주안로104번길 57 (주안동)
ValueCountFrequency (%)
인천광역시 4439
 
16.9%
미추홀구 4439
 
16.9%
주안동 1604
 
6.1%
용현동 1203
 
4.6%
1층 999
 
3.8%
도화동 485
 
1.8%
학익동 357
 
1.4%
숭의동 351
 
1.3%
2층 275
 
1.0%
인하로 204
 
0.8%
Other values (2421) 11864
45.2%
2023-12-12T14:39:11.762771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21789
 
15.8%
인 5751
 
4.2%
1 5418
 
3.9%
홀 4906
 
3.6%
미 4782
 
3.5%
동 4770
 
3.5%
추 4745
 
3.4%
천 4556
 
3.3%
( 4511
 
3.3%
) 4509
 
3.3%
Other values (345) 72321
52.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 81924
59.3%
Space Separator 21789
 
15.8%
Decimal Number 21293
 
15.4%
Open Punctuation 4512
 
3.3%
Close Punctuation 4510
 
3.3%
Other Punctuation 2870
 
2.1%
Dash Punctuation 806
 
0.6%
Uppercase Letter 265
 
0.2%
Lowercase Letter 73
 
0.1%
Math Symbol 14
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 5751
 
7.0%
홀 4906
 
6.0%
미 4782
 
5.8%
동 4770
 
5.8%
추 4745
 
5.8%
천 4556
 
5.6%
역 4507
 
5.5%
시 4500
 
5.5%
구 4493
 
5.5%
광 4452
 
5.4%
Other values (292) 34462
42.1%
Uppercase Letter
ValueCountFrequency (%)
B 44
16.6%
S 37
14.0%
A 34
12.8%
I 26
9.8%
E 23
8.7%
K 20
7.5%
V 17
 
6.4%
W 16
 
6.0%
C 10
 
3.8%
P 8
 
3.0%
Other values (9) 30
11.3%
Decimal Number
ValueCountFrequency (%)
1 5418
25.4%
2 2964
13.9%
3 2472
11.6%
0 2000
 
9.4%
4 1909
 
9.0%
5 1511
 
7.1%
6 1480
 
7.0%
7 1289
 
6.1%
8 1251
 
5.9%
9 999
 
4.7%
Lowercase Letter
ValueCountFrequency (%)
e 22
30.1%
k 16
21.9%
y 16
21.9%
o 4
 
5.5%
w 4
 
5.5%
r 4
 
5.5%
b 3
 
4.1%
n 2
 
2.7%
a 1
 
1.4%
h 1
 
1.4%
Other Punctuation
ValueCountFrequency (%)
, 2854
99.4%
. 12
 
0.4%
@ 2
 
0.1%
* 1
 
< 0.1%
/ 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 4511
> 99.9%
[ 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 4509
> 99.9%
] 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
21789
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 806
100.0%
Math Symbol
ValueCountFrequency (%)
~ 14
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 81923
59.3%
Common 55795
40.4%
Latin 338
 
0.2%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 5751
 
7.0%
홀 4906
 
6.0%
미 4782
 
5.8%
동 4770
 
5.8%
추 4745
 
5.8%
천 4556
 
5.6%
역 4507
 
5.5%
시 4500
 
5.5%
구 4493
 
5.5%
광 4452
 
5.4%
Other values (291) 34461
42.1%
Latin
ValueCountFrequency (%)
B 44
13.0%
S 37
10.9%
A 34
10.1%
I 26
 
7.7%
E 23
 
6.8%
e 22
 
6.5%
K 20
 
5.9%
V 17
 
5.0%
k 16
 
4.7%
y 16
 
4.7%
Other values (19) 83
24.6%
Common
ValueCountFrequency (%)
21789
39.1%
1 5418
 
9.7%
( 4511
 
8.1%
) 4509
 
8.1%
2 2964
 
5.3%
, 2854
 
5.1%
3 2472
 
4.4%
0 2000
 
3.6%
4 1909
 
3.4%
5 1511
 
2.7%
Other values (13) 5858
 
10.5%
Han
ValueCountFrequency (%)
星 1
50.0%
伯 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 81922
59.3%
ASCII 56133
40.7%
CJK 2
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21789
38.8%
1 5418
 
9.7%
( 4511
 
8.0%
) 4509
 
8.0%
2 2964
 
5.3%
, 2854
 
5.1%
3 2472
 
4.4%
0 2000
 
3.6%
4 1909
 
3.4%
5 1511
 
2.7%
Other values (42) 6196
 
11.0%
Hangul
ValueCountFrequency (%)
인 5751
 
7.0%
홀 4906
 
6.0%
미 4782
 
5.8%
동 4770
 
5.8%
추 4745
 
5.8%
천 4556
 
5.6%
역 4507
 
5.5%
시 4500
 
5.5%
구 4493
 
5.5%
광 4452
 
5.4%
Other values (290) 34460
42.1%
None
ValueCountFrequency (%)
㈜ 1
100.0%
CJK
ValueCountFrequency (%)
星 1
50.0%
伯 1
50.0%

전화번호
Text

MISSING 

Distinct2000
Distinct (%)98.7%
Missing2413
Missing (%)54.4%
Memory size34.8 KiB
2023-12-12T14:39:12.312317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.011352
Min length9

Characters and Unicode

Total characters24335
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

Unique1978 ?
Unique (%)97.6%

Sample

1st row032-425-3300
2nd row032-861-2020
3rd row032-882-3786
4th row032-868-4227
5th row032-435-8192
ValueCountFrequency (%)
032-437-9999 4
 
0.2%
032-227-5000 3
 
0.1%
070-4024-3993 3
 
0.1%
032-867-8050 2
 
0.1%
032-442-6631 2
 
0.1%
032-875-6111 2
 
0.1%
032-868-3814 2
 
0.1%
032-866-8710 2
 
0.1%
032-875-2166 2
 
0.1%
032-867-4905 2
 
0.1%
Other values (1990) 2002
98.8%
2023-12-12T14:39:13.154515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 4043
16.6%
2 3641
15.0%
3 3246
13.3%
0 3081
12.7%
8 2912
12.0%
4 1519
 
6.2%
7 1424
 
5.9%
6 1368
 
5.6%
5 1138
 
4.7%
9 989
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 20292
83.4%
Dash Punctuation 4043
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 3641
17.9%
3 3246
16.0%
0 3081
15.2%
8 2912
14.4%
4 1519
7.5%
7 1424
 
7.0%
6 1368
 
6.7%
5 1138
 
5.6%
9 989
 
4.9%
1 974
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 4043
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24335
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 4043
16.6%
2 3641
15.0%
3 3246
13.3%
0 3081
12.7%
8 2912
12.0%
4 1519
 
6.2%
7 1424
 
5.9%
6 1368
 
5.6%
5 1138
 
4.7%
9 989
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24335
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 4043
16.6%
2 3641
15.0%
3 3246
13.3%
0 3081
12.7%
8 2912
12.0%
4 1519
 
6.2%
7 1424
 
5.9%
6 1368
 
5.6%
5 1138
 
4.7%
9 989
 
4.1%

위도
Real number (ℝ)

Distinct2862
Distinct (%)64.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.455414
Minimum37.436166
Maximum37.479891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size39.1 KiB
2023-12-12T14:39:13.380826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.436166
5-th percentile37.439441
Q137.449209
median37.455901
Q337.462222
95-th percentile37.469517
Maximum37.479891
Range0.04372472
Interquartile range (IQR)0.013012455

Descriptive statistics

Standard deviation0.0089342685
Coefficient of variation (CV)0.00023853077
Kurtosis-0.53320712
Mean37.455414
Median Absolute Deviation (MAD)0.00649271
Skewness-0.073347673
Sum166264.58
Variance7.9821154 × 10-5
MonotonicityNot monotonic
2023-12-12T14:39:13.583021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.44756775 41
 
0.9%
37.43654516 39
 
0.9%
37.44250623 26
 
0.6%
37.45826008 21
 
0.5%
37.44814624 19
 
0.4%
37.46954959 16
 
0.4%
37.44762897 15
 
0.3%
37.44749098 15
 
0.3%
37.45201495 15
 
0.3%
37.47033279 12
 
0.3%
Other values (2852) 4220
95.1%
ValueCountFrequency (%)
37.4361663 1
 
< 0.1%
37.43654516 39
0.9%
37.43661464 1
 
< 0.1%
37.43661838 1
 
< 0.1%
37.43678343 1
 
< 0.1%
37.43683555 1
 
< 0.1%
37.43692455 1
 
< 0.1%
37.43695853 1
 
< 0.1%
37.43709235 11
 
0.2%
37.43721514 1
 
< 0.1%
ValueCountFrequency (%)
37.47989102 1
< 0.1%
37.47857166 1
< 0.1%
37.47841972 1
< 0.1%
37.47832209 1
< 0.1%
37.47825411 1
< 0.1%
37.47815151 1
< 0.1%
37.47807983 1
< 0.1%
37.47798768 2
< 0.1%
37.47794057 1
< 0.1%
37.47789082 1
< 0.1%

경도
Real number (ℝ)

Distinct2859
Distinct (%)64.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.66663
Minimum126.63016
Maximum126.70152
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size39.1 KiB
2023-12-12T14:39:13.772337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.63016
5-th percentile126.63566
Q1126.65431
median126.66894
Q3126.68102
95-th percentile126.69061
Maximum126.70152
Range0.0713558
Interquartile range (IQR)0.0267139

Descriptive statistics

Standard deviation0.017193229
Coefficient of variation (CV)0.00013573606
Kurtosis-0.98521529
Mean126.66663
Median Absolute Deviation (MAD)0.0127567
Skewness-0.31017287
Sum562273.15
Variance0.00029560711
MonotonicityNot monotonic
2023-12-12T14:39:13.979862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.6485908 41
 
0.9%
126.6864606 39
 
0.9%
126.7015187 26
 
0.6%
126.6426622 21
 
0.5%
126.6491202 19
 
0.4%
126.6645388 16
 
0.4%
126.6470946 15
 
0.3%
126.6450629 15
 
0.3%
126.6515421 15
 
0.3%
126.6618066 12
 
0.3%
Other values (2849) 4220
95.1%
ValueCountFrequency (%)
126.6301629 2
 
< 0.1%
126.6304607 1
 
< 0.1%
126.6321988 1
 
< 0.1%
126.6324617 1
 
< 0.1%
126.6328813 1
 
< 0.1%
126.6329057 2
 
< 0.1%
126.6330509 1
 
< 0.1%
126.633172 1
 
< 0.1%
126.6332136 2
 
< 0.1%
126.6332704 6
0.1%
ValueCountFrequency (%)
126.7015187 26
0.6%
126.6966793 2
 
< 0.1%
126.6962602 1
 
< 0.1%
126.6956246 1
 
< 0.1%
126.6954424 1
 
< 0.1%
126.695414 1
 
< 0.1%
126.6953843 1
 
< 0.1%
126.6953787 3
 
0.1%
126.6953229 1
 
< 0.1%
126.6952992 4
 
0.1%

Interactions

2023-12-12T14:39:08.954123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:39:08.156176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:39:08.522291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:39:09.089737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:39:08.272410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:39:08.672527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:39:09.237986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:39:08.393395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:39:08.802306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:39:14.099617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.0000.1580.152
위도0.1581.0000.743
경도0.1520.7431.000
2023-12-12T14:39:14.210582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.000-0.016-0.018
위도-0.0161.0000.014
경도-0.0180.0141.000

Missing values

2023-12-12T14:39:09.416898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:39:09.562395image/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

연번업종명업소명소재지전화번호위도경도
01일반음식점서문삼계탕인천광역시 미추홀구 미추홀대로 690 (주안동)032-425-330037.458857126.680392
12일반음식점황금오리인천광역시 미추홀구 석정로 428 (주안동)032-861-202037.466199126.68298
23일반음식점금호횟집인천광역시 미추홀구 용삼길 75 (용현동)032-882-378637.458519126.653642
34일반음식점세컨드 찬스(second chance)인천광역시 미추홀구 인하로 73 (용현동)032-868-422737.45146126.656475
45일반음식점화룽인천광역시 미추홀구 주안로104번길 57 (주안동)032-435-819237.461354126.681386
56일반음식점이나술인천광역시 미추홀구 경인남길30번길 38 (용현동)032-873-850537.451804126.656491
67일반음식점아름장인천광역시 미추홀구 경인로418번길 60 (주안동)032-422-290737.455322126.686192
78일반음식점맵당인천광역시 미추홀구 경인로 392 (주안동)032-425-622237.458034126.68316
89일반음식점조선화로집 주안점인천광역시 미추홀구 미추홀대로734번길 6 (주안동)032-423-445537.462828126.680761
910일반음식점펀비어킹인천광역시 미추홀구 길파로 1 (주안동)<NA>37.466007126.679097
연번업종명업소명소재지전화번호위도경도
44294430일반음식점라화쿵부마라탕인천광역시 미추홀구 숙골로 94, 청운프라자 1층 102호 (도화동)<NA>37.470625126.663303
44304431일반음식점스시배인천광역시 미추홀구 낙섬중로 129, 상가4동 210호 (용현동, 엘에이치미추홀3단지)<NA>37.45826126.642662
44314432일반음식점기버케밥인천광역시 미추홀구 재넘이길29번길 31, 1층 (학익동)032-423-910437.446384126.664901
44324433일반음식점금문도인천광역시 미추홀구 주안로90번길 40, 1층 (주안동)<NA>37.462208126.679379
44334434일반음식점드아젯인천광역시 미추홀구 미추홀대로 610, 104호 (주안동)<NA>37.451817126.680048
44344435일반음식점찌웅이네 숯불두마리치킨 인천1호점인천광역시 미추홀구 독정이로 11, 1층 남측 1칸호 (용현동)<NA>37.457056126.654557
44354436일반음식점메가엠지씨커피 인천아인애비뉴점인천광역시 미추홀구 경인로 372, 지하2층 B2074호 (주안동, 포레나 미추홀)<NA>37.458018126.681163
44364437일반음식점베어베리인천광역시 미추홀구 인하로91번길 51-4, 1층 102호 (용현동)<NA>37.451358126.660829
44374438일반음식점로타리 펍인천광역시 미추홀구 독배로 440, 105호 (숭의동)<NA>37.458905126.649171
44384439일반음식점두레통닭인천광역시 미추홀구 제물량로24번길 51, 솔루나 121호 (숭의동)<NA>37.462126.63974