Overview

Dataset statistics

Number of variables7
Number of observations1337
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory77.2 KiB
Average record size in memory59.1 B

Variable types

Numeric3
Categorical1
Text3

Dataset

Description인천광역시 미추홀구의 휴게음식점 현황에 대한 데이터로 업종명, 상호명, 도로명주소, 지번주소, 좌표값 등을 제공합니다.<br/>
Author인천광역시 미추홀구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15081931&srcSe=7661IVAWM27C61E190

Alerts

업종명 has constant value ""Constant
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-18 05:48:54.334086
Analysis finished2024-03-18 05:48:57.265469
Duration2.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct1337
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean669
Minimum1
Maximum1337
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2024-03-18T14:48:57.345329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile67.8
Q1335
median669
Q31003
95-th percentile1270.2
Maximum1337
Range1336
Interquartile range (IQR)668

Descriptive statistics

Standard deviation386.10297
Coefficient of variation (CV)0.57713448
Kurtosis-1.2
Mean669
Median Absolute Deviation (MAD)334
Skewness0
Sum894453
Variance149075.5
MonotonicityStrictly increasing
2024-03-18T14:48:57.498774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
899 1
 
0.1%
897 1
 
0.1%
896 1
 
0.1%
895 1
 
0.1%
894 1
 
0.1%
893 1
 
0.1%
892 1
 
0.1%
891 1
 
0.1%
890 1
 
0.1%
Other values (1327) 1327
99.3%
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 (%)
1337 1
0.1%
1336 1
0.1%
1335 1
0.1%
1334 1
0.1%
1333 1
0.1%
1332 1
0.1%
1331 1
0.1%
1330 1
0.1%
1329 1
0.1%
1328 1
0.1%

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
휴게음식점
1337 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
휴게음식점 1337
100.0%

Length

2024-03-18T14:48:57.624114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T14:48:57.708992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
휴게음식점 1337
100.0%

상호명
Text

Distinct1303
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
2024-03-18T14:48:57.889702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length23
Mean length8.3597607
Min length2

Characters and Unicode

Total characters11177
Distinct characters634
Distinct categories10 ?
Distinct scripts5 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1274 ?
Unique (%)95.3%

Sample

1st row좋은친구들
2nd row평화다방
3rd row삼거리다방
4th row영다방
5th row밀월다방
ValueCountFrequency (%)
씨유 76
 
3.5%
세븐일레븐 63
 
2.9%
카페 41
 
1.9%
지에스25 40
 
1.9%
커피 20
 
0.9%
이마트24 20
 
0.9%
인하대점 18
 
0.8%
컴포즈커피 16
 
0.7%
메가엠지씨커피 16
 
0.7%
주안점 14
 
0.6%
Other values (1467) 1832
85.0%
2024-03-18T14:48:58.230760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
819
 
7.3%
점 583
 
5.2%
스 279
 
2.5%
인 250
 
2.2%
이 246
 
2.2%
피 234
 
2.1%
커 189
 
1.7%
주 185
 
1.7%
천 164
 
1.5%
안 159
 
1.4%
Other values (624) 8069
72.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8945
80.0%
Space Separator 819
 
7.3%
Uppercase Letter 463
 
4.1%
Decimal Number 321
 
2.9%
Lowercase Letter 315
 
2.8%
Close Punctuation 142
 
1.3%
Open Punctuation 142
 
1.3%
Other Punctuation 20
 
0.2%
Connector Punctuation 9
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 583
 
6.5%
스 279
 
3.1%
인 250
 
2.8%
이 246
 
2.8%
피 234
 
2.6%
커 189
 
2.1%
주 185
 
2.1%
천 164
 
1.8%
안 159
 
1.8%
리 151
 
1.7%
Other values (551) 6505
72.7%
Uppercase Letter
ValueCountFrequency (%)
C 75
16.2%
S 50
10.8%
P 48
10.4%
G 41
 
8.9%
E 32
 
6.9%
F 29
 
6.3%
A 25
 
5.4%
U 20
 
4.3%
O 18
 
3.9%
T 17
 
3.7%
Other values (15) 108
23.3%
Lowercase Letter
ValueCountFrequency (%)
e 54
17.1%
a 34
10.8%
o 28
8.9%
f 27
8.6%
c 27
8.6%
i 19
 
6.0%
l 18
 
5.7%
r 16
 
5.1%
t 13
 
4.1%
y 12
 
3.8%
Other values (15) 67
21.3%
Decimal Number
ValueCountFrequency (%)
2 121
37.7%
5 88
27.4%
4 30
 
9.3%
1 22
 
6.9%
9 17
 
5.3%
7 11
 
3.4%
3 10
 
3.1%
0 8
 
2.5%
6 8
 
2.5%
8 6
 
1.9%
Other Punctuation
ValueCountFrequency (%)
, 7
35.0%
. 5
25.0%
' 4
20.0%
: 2
 
10.0%
· 1
 
5.0%
! 1
 
5.0%
Close Punctuation
ValueCountFrequency (%)
) 141
99.3%
] 1
 
0.7%
Open Punctuation
ValueCountFrequency (%)
( 141
99.3%
[ 1
 
0.7%
Space Separator
ValueCountFrequency (%)
819
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8944
80.0%
Common 1454
 
13.0%
Latin 777
 
7.0%
Han 1
 
< 0.1%
Greek 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 583
 
6.5%
스 279
 
3.1%
인 250
 
2.8%
이 246
 
2.8%
피 234
 
2.6%
커 189
 
2.1%
주 185
 
2.1%
천 164
 
1.8%
안 159
 
1.8%
리 151
 
1.7%
Other values (550) 6504
72.7%
Latin
ValueCountFrequency (%)
C 75
 
9.7%
e 54
 
6.9%
S 50
 
6.4%
P 48
 
6.2%
G 41
 
5.3%
a 34
 
4.4%
E 32
 
4.1%
F 29
 
3.7%
o 28
 
3.6%
f 27
 
3.5%
Other values (39) 359
46.2%
Common
ValueCountFrequency (%)
819
56.3%
) 141
 
9.7%
( 141
 
9.7%
2 121
 
8.3%
5 88
 
6.1%
4 30
 
2.1%
1 22
 
1.5%
9 17
 
1.2%
7 11
 
0.8%
3 10
 
0.7%
Other values (13) 54
 
3.7%
Han
ValueCountFrequency (%)
愛 1
100.0%
Greek
ValueCountFrequency (%)
α 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8944
80.0%
ASCII 2230
 
20.0%
None 2
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
819
36.7%
) 141
 
6.3%
( 141
 
6.3%
2 121
 
5.4%
5 88
 
3.9%
C 75
 
3.4%
e 54
 
2.4%
S 50
 
2.2%
P 48
 
2.2%
G 41
 
1.8%
Other values (61) 652
29.2%
Hangul
ValueCountFrequency (%)
점 583
 
6.5%
스 279
 
3.1%
인 250
 
2.8%
이 246
 
2.8%
피 234
 
2.6%
커 189
 
2.1%
주 185
 
2.1%
천 164
 
1.8%
안 159
 
1.8%
리 151
 
1.7%
Other values (550) 6504
72.7%
CJK
ValueCountFrequency (%)
愛 1
100.0%
None
ValueCountFrequency (%)
· 1
50.0%
α 1
50.0%

도로명주소
Text

Distinct1292
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
2024-03-18T14:48:58.519875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length57
Mean length33.242334
Min length22

Characters and Unicode

Total characters44445
Distinct characters354
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

Unique1268 ?
Unique (%)94.8%

Sample

1st row인천광역시 미추홀구 구월로 4 (주안동)
2nd row인천광역시 미추홀구 제일로 45 (도화동)
3rd row인천광역시 미추홀구 참외전로 316 (숭의동)
4th row인천광역시 미추홀구 독정이로 49 (숭의동)
5th row인천광역시 미추홀구 경인로 66 (숭의동)
ValueCountFrequency (%)
인천광역시 1337
 
15.6%
미추홀구 1337
 
15.6%
주안동 460
 
5.4%
1층 455
 
5.3%
용현동 324
 
3.8%
도화동 153
 
1.8%
숭의동 140
 
1.6%
지하1층 104
 
1.2%
학익동 99
 
1.2%
경인로 99
 
1.2%
Other values (1380) 4071
47.5%
2024-03-18T14:48:58.995422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7246
 
16.3%
1 1934
 
4.4%
인 1800
 
4.0%
홀 1493
 
3.4%
동 1475
 
3.3%
미 1472
 
3.3%
추 1430
 
3.2%
천 1419
 
3.2%
구 1363
 
3.1%
시 1358
 
3.1%
Other values (344) 23455
52.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26278
59.1%
Space Separator 7246
 
16.3%
Decimal Number 6631
 
14.9%
Close Punctuation 1356
 
3.1%
Open Punctuation 1356
 
3.1%
Other Punctuation 1245
 
2.8%
Dash Punctuation 175
 
0.4%
Uppercase Letter 111
 
0.2%
Lowercase Letter 32
 
0.1%
Math Symbol 15
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 1800
 
6.8%
홀 1493
 
5.7%
동 1475
 
5.6%
미 1472
 
5.6%
추 1430
 
5.4%
천 1419
 
5.4%
구 1363
 
5.2%
시 1358
 
5.2%
역 1358
 
5.2%
광 1343
 
5.1%
Other values (295) 11767
44.8%
Uppercase Letter
ValueCountFrequency (%)
B 28
25.2%
A 16
14.4%
S 13
11.7%
K 6
 
5.4%
I 6
 
5.4%
E 6
 
5.4%
C 6
 
5.4%
W 5
 
4.5%
V 5
 
4.5%
T 4
 
3.6%
Other values (11) 16
14.4%
Lowercase Letter
ValueCountFrequency (%)
e 7
21.9%
k 5
15.6%
y 5
15.6%
v 3
9.4%
g 3
9.4%
c 3
9.4%
h 2
 
6.2%
r 1
 
3.1%
w 1
 
3.1%
o 1
 
3.1%
Decimal Number
ValueCountFrequency (%)
1 1934
29.2%
2 831
12.5%
3 746
 
11.3%
0 648
 
9.8%
4 539
 
8.1%
5 479
 
7.2%
8 402
 
6.1%
6 389
 
5.9%
7 365
 
5.5%
9 298
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 1237
99.4%
. 8
 
0.6%
Space Separator
ValueCountFrequency (%)
7246
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1356
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1356
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 175
100.0%
Math Symbol
ValueCountFrequency (%)
~ 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26278
59.1%
Common 18024
40.6%
Latin 143
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 1800
 
6.8%
홀 1493
 
5.7%
동 1475
 
5.6%
미 1472
 
5.6%
추 1430
 
5.4%
천 1419
 
5.4%
구 1363
 
5.2%
시 1358
 
5.2%
역 1358
 
5.2%
광 1343
 
5.1%
Other values (295) 11767
44.8%
Latin
ValueCountFrequency (%)
B 28
19.6%
A 16
 
11.2%
S 13
 
9.1%
e 7
 
4.9%
K 6
 
4.2%
I 6
 
4.2%
E 6
 
4.2%
C 6
 
4.2%
k 5
 
3.5%
W 5
 
3.5%
Other values (22) 45
31.5%
Common
ValueCountFrequency (%)
7246
40.2%
1 1934
 
10.7%
) 1356
 
7.5%
( 1356
 
7.5%
, 1237
 
6.9%
2 831
 
4.6%
3 746
 
4.1%
0 648
 
3.6%
4 539
 
3.0%
5 479
 
2.7%
Other values (7) 1652
 
9.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26278
59.1%
ASCII 18167
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7246
39.9%
1 1934
 
10.6%
) 1356
 
7.5%
( 1356
 
7.5%
, 1237
 
6.8%
2 831
 
4.6%
3 746
 
4.1%
0 648
 
3.6%
4 539
 
3.0%
5 479
 
2.6%
Other values (39) 1795
 
9.9%
Hangul
ValueCountFrequency (%)
인 1800
 
6.8%
홀 1493
 
5.7%
동 1475
 
5.6%
미 1472
 
5.6%
추 1430
 
5.4%
천 1419
 
5.4%
구 1363
 
5.2%
시 1358
 
5.2%
역 1358
 
5.2%
광 1343
 
5.1%
Other values (295) 11767
44.8%

지번주소
Text

Distinct1060
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
2024-03-18T14:48:59.179718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length20.098728
Min length16

Characters and Unicode

Total characters26872
Distinct characters35
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

Unique937 ?
Unique (%)70.1%

Sample

1st row인천광역시 미추홀구 주안동 1542-13
2nd row인천광역시 미추홀구 도화동 442-2
3rd row인천광역시 미추홀구 숭의동 129-77
4th row인천광역시 미추홀구 숭의동 285-4
5th row인천광역시 미추홀구 숭의동 119-41
ValueCountFrequency (%)
인천광역시 1337
25.0%
미추홀구 1337
25.0%
주안동 482
 
9.0%
용현동 331
 
6.2%
도화동 153
 
2.9%
숭의동 142
 
2.7%
학익동 102
 
1.9%
관교동 74
 
1.4%
문학동 53
 
1.0%
15 45
 
0.8%
Other values (1045) 1292
24.2%
2024-03-18T14:48:59.468000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4011
 
14.9%
인 1337
 
5.0%
천 1337
 
5.0%
광 1337
 
5.0%
역 1337
 
5.0%
시 1337
 
5.0%
미 1337
 
5.0%
추 1337
 
5.0%
홀 1337
 
5.0%
구 1337
 
5.0%
Other values (25) 10828
40.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16044
59.7%
Decimal Number 5664
 
21.1%
Space Separator 4011
 
14.9%
Dash Punctuation 1153
 
4.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 1337
8.3%
천 1337
8.3%
광 1337
8.3%
역 1337
8.3%
시 1337
8.3%
미 1337
8.3%
추 1337
8.3%
홀 1337
8.3%
구 1337
8.3%
동 1337
8.3%
Other values (13) 2674
16.7%
Decimal Number
ValueCountFrequency (%)
1 1178
20.8%
2 696
12.3%
6 586
10.3%
4 567
10.0%
5 524
9.3%
3 523
9.2%
8 426
 
7.5%
9 423
 
7.5%
7 379
 
6.7%
0 362
 
6.4%
Space Separator
ValueCountFrequency (%)
4011
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1153
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16044
59.7%
Common 10828
40.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 1337
8.3%
천 1337
8.3%
광 1337
8.3%
역 1337
8.3%
시 1337
8.3%
미 1337
8.3%
추 1337
8.3%
홀 1337
8.3%
구 1337
8.3%
동 1337
8.3%
Other values (13) 2674
16.7%
Common
ValueCountFrequency (%)
4011
37.0%
1 1178
 
10.9%
- 1153
 
10.6%
2 696
 
6.4%
6 586
 
5.4%
4 567
 
5.2%
5 524
 
4.8%
3 523
 
4.8%
8 426
 
3.9%
9 423
 
3.9%
Other values (2) 741
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16044
59.7%
ASCII 10828
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4011
37.0%
1 1178
 
10.9%
- 1153
 
10.6%
2 696
 
6.4%
6 586
 
5.4%
4 567
 
5.2%
5 524
 
4.8%
3 523
 
4.8%
8 426
 
3.9%
9 423
 
3.9%
Other values (2) 741
 
6.8%
Hangul
ValueCountFrequency (%)
인 1337
8.3%
천 1337
8.3%
광 1337
8.3%
역 1337
8.3%
시 1337
8.3%
미 1337
8.3%
추 1337
8.3%
홀 1337
8.3%
구 1337
8.3%
동 1337
8.3%
Other values (13) 2674
16.7%

위도
Real number (ℝ)

Distinct1067
Distinct (%)79.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.455395
Minimum37.436543
Maximum37.477976
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2024-03-18T14:48:59.590614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.436543
5-th percentile37.439355
Q137.448276
median37.455306
Q337.463306
95-th percentile37.46955
Maximum37.477976
Range0.04143271
Interquartile range (IQR)0.0150302

Descriptive statistics

Standard deviation0.009486592
Coefficient of variation (CV)0.00025327705
Kurtosis-0.84141989
Mean37.455395
Median Absolute Deviation (MAD)0.00744914
Skewness-0.058546178
Sum50077.863
Variance8.9995428 × 10-5
MonotonicityNot monotonic
2024-03-18T14:48:59.716151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.44250623 44
 
3.3%
37.43654516 20
 
1.5%
37.4580182 11
 
0.8%
37.44706744 10
 
0.7%
37.45144803 10
 
0.7%
37.44756775 9
 
0.7%
37.46554181 7
 
0.5%
37.46954959 6
 
0.4%
37.46558683 6
 
0.4%
37.44425946 5
 
0.4%
Other values (1057) 1209
90.4%
ValueCountFrequency (%)
37.43654312 1
 
0.1%
37.43654516 20
1.5%
37.43661464 1
 
0.1%
37.43663862 1
 
0.1%
37.43675754 1
 
0.1%
37.43708799 1
 
0.1%
37.43713135 1
 
0.1%
37.43729122 1
 
0.1%
37.43731149 1
 
0.1%
37.43737508 1
 
0.1%
ValueCountFrequency (%)
37.47797583 2
 
0.1%
37.47767283 1
 
0.1%
37.47721469 2
 
0.1%
37.477207 1
 
0.1%
37.47714463 1
 
0.1%
37.47698563 5
0.4%
37.47646257 1
 
0.1%
37.47616162 1
 
0.1%
37.47613005 1
 
0.1%
37.47587057 1
 
0.1%

경도
Real number (ℝ)

Distinct1066
Distinct (%)79.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.6681
Minimum126.63226
Maximum126.70152
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2024-03-18T14:48:59.832542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.63226
5-th percentile126.63809
Q1126.65499
median126.66909
Q3126.68125
95-th percentile126.69457
Maximum126.70152
Range0.0692552
Interquartile range (IQR)0.0262595

Descriptive statistics

Standard deviation0.01753223
Coefficient of variation (CV)0.00013841078
Kurtosis-0.92046231
Mean126.6681
Median Absolute Deviation (MAD)0.0128413
Skewness-0.14335413
Sum169355.25
Variance0.00030737908
MonotonicityNot monotonic
2024-03-18T14:48:59.955324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.7015187 44
 
3.3%
126.6864606 20
 
1.5%
126.6811632 11
 
0.8%
126.6515423 10
 
0.7%
126.6508493 10
 
0.7%
126.6485908 9
 
0.7%
126.6804649 7
 
0.5%
126.6435082 6
 
0.4%
126.6645388 6
 
0.4%
126.6450629 5
 
0.4%
Other values (1056) 1209
90.4%
ValueCountFrequency (%)
126.6322635 1
0.1%
126.6327692 1
0.1%
126.6329057 1
0.1%
126.6332262 1
0.1%
126.6332704 1
0.1%
126.6334588 1
0.1%
126.6336152 1
0.1%
126.6336714 2
0.1%
126.6337787 1
0.1%
126.633928 1
0.1%
ValueCountFrequency (%)
126.7015187 44
3.3%
126.6996909 3
 
0.2%
126.6985048 1
 
0.1%
126.698306 1
 
0.1%
126.6971551 1
 
0.1%
126.6966793 1
 
0.1%
126.6962105 1
 
0.1%
126.6953326 1
 
0.1%
126.6953214 1
 
0.1%
126.6951842 2
 
0.1%

Interactions

2024-03-18T14:48:56.731171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:48:56.096365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:48:56.411254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:48:56.852260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:48:56.230745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:48:56.516469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:48:56.955823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:48:56.314363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:48:56.617851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T14:49:00.053004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.0000.2240.284
위도0.2241.0000.765
경도0.2840.7651.000
2024-03-18T14:49:00.126527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.0000.024-0.053
위도0.0241.000-0.117
경도-0.053-0.1171.000

Missing values

2024-03-18T14:48:57.096229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T14:48:57.216565image/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

연번업종명상호명도로명주소지번주소위도경도
01휴게음식점좋은친구들인천광역시 미추홀구 구월로 4 (주안동)인천광역시 미추홀구 주안동 1542-1337.457557126.690704
12휴게음식점평화다방인천광역시 미추홀구 제일로 45 (도화동)인천광역시 미추홀구 도화동 442-237.458953126.675461
23휴게음식점삼거리다방인천광역시 미추홀구 참외전로 316 (숭의동)인천광역시 미추홀구 숭의동 129-7737.466019126.649054
34휴게음식점영다방인천광역시 미추홀구 독정이로 49 (숭의동)인천광역시 미추홀구 숭의동 285-437.460177126.652702
45휴게음식점밀월다방인천광역시 미추홀구 경인로 66 (숭의동)인천광역시 미추홀구 숭의동 119-4137.465022126.650263
56휴게음식점봉봉다방인천광역시 미추홀구 경인로 382 (주안동)인천광역시 미추홀구 주안동 434-237.458125126.682308
67휴게음식점뷰커피숍인천광역시 미추홀구 미추홀대로 690, 지하1층 (주안동)인천광역시 미추홀구 주안동 186-1437.458857126.680392
78휴게음식점우봉다방인천광역시 미추홀구 석바위로 40-2 (주안동)인천광역시 미추홀구 주안동 201-1437.460578126.677456
89휴게음식점지성다방인천광역시 미추홀구 석정로 377 (주안동)인천광역시 미추홀구 주안동 14-537.467294126.677473
910휴게음식점우림다방인천광역시 미추홀구 석정로433번길 41 (주안동)인천광역시 미추홀구 주안동 18-6937.468374126.684544
연번업종명상호명도로명주소지번주소위도경도
13271328휴게음식점지에스25 인천용학점인천광역시 미추홀구 용정공원로 33, C동 1층 111, 112호 (용현동, 인천 SK Sky VIEW)인천광역시 미추홀구 용현동 66437.452015126.645063
13281329휴게음식점봉명동내커피 미추홀점인천광역시 미추홀구 장천로112번길 44, 103호 (숭의동, 스카이시티 201동)인천광역시 미추홀구 숭의동 33-23437.460996126.655933
13291330휴게음식점대게 잘하는집인천광역시 미추홀구 연남로 35, 롯데백화점 인천점 지하1층 (관교동)인천광역시 미추홀구 관교동 1537.442506126.701519
13301331휴게음식점대한이커피인천광역시 미추홀구 매소홀로 262, 1층 1038호 (학익동)인천광역시 미추홀구 학익동 401-5837.444259126.652474
13311332휴게음식점대핸이커피인천광역시 미추홀구 매소홀로 262, 1층 1037호 (학익동)인천광역시 미추홀구 학익동 401-5837.444259126.652474
13321333휴게음식점대한뉘우스인천광역시 미추홀구 매소홀로 262, 지하1층 B37호 (학익동)인천광역시 미추홀구 학익동 401-5837.444259126.652474
13331334휴게음식점플리퍼스인천광역시 미추홀구 연남로 35, 인천종합터미널,롯데백화점 지하1층 (관교동)인천광역시 미추홀구 관교동 1537.442506126.701519
13341335휴게음식점지에스25 주안파크자이점인천광역시 미추홀구 신기길16번길 70, 1층 (주안동)인천광역시 미추홀구 주안동 848-937.447593126.672775
13351336휴게음식점오야(OIA)인천광역시 미추홀구 인하로 75-1, B1층 101호 (용현동)인천광역시 미추홀구 용현동 191-237.451348126.656823
13361337휴게음식점베러먼데이 인천숭의용마루점인천광역시 미추홀구 인주대로 72, 드래곤프라자 1층 106호 (용현동)인천광역시 미추홀구 용현동 037.457998126.645272