Overview

Dataset statistics

Number of variables7
Number of observations353
Missing cells238
Missing cells (%)9.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory20.5 KiB
Average record size in memory59.4 B

Variable types

DateTime1
Text3
Numeric3

Dataset

Description인천광역시 미추홀구 출판사 현황에 대한 데이터로 연번, 상호명, 도로명주소, 위도 및 경도 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15045483/fileData.do

Alerts

시설면적(제곱미터) has 199 (56.4%) missing valuesMissing
위도 has 19 (5.4%) missing valuesMissing
경도 has 19 (5.4%) missing valuesMissing
상호명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 02:24:22.266621
Analysis finished2023-12-12 02:24:24.819542
Duration2.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

신고일자
Date

Distinct342
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
Minimum1981-01-30 00:00:00
Maximum2023-05-18 00:00:00
2023-12-12T11:24:24.923750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:24:25.163199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

상호명
Text

UNIQUE 

Distinct353
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2023-12-12T11:24:25.613100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length20
Mean length6.9745042
Min length1

Characters and Unicode

Total characters2462
Distinct characters429
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

Unique353 ?
Unique (%)100.0%

Sample

1st row주식회사 동서문화출판사
2nd row인하대학교출판부
3rd row새롬출판사
4th row인하공업전문대학 출판부
5th row하나문화사
ValueCountFrequency (%)
도서출판 57
 
11.0%
주식회사 16
 
3.1%
출판사 7
 
1.4%
books 5
 
1.0%
디자인 4
 
0.8%
주 4
 
0.8%
출판부 3
 
0.6%
미디어 2
 
0.4%
생생 2
 
0.4%
숲 2
 
0.4%
Other values (414) 415
80.3%
2023-12-12T11:24:26.171654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
164
 
6.7%
출 104
 
4.2%
판 103
 
4.2%
사 79
 
3.2%
서 67
 
2.7%
도 64
 
2.6%
인 63
 
2.6%
스 44
 
1.8%
이 43
 
1.7%
주 38
 
1.5%
Other values (419) 1693
68.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1990
80.8%
Space Separator 164
 
6.7%
Lowercase Letter 140
 
5.7%
Uppercase Letter 89
 
3.6%
Close Punctuation 34
 
1.4%
Open Punctuation 32
 
1.3%
Decimal Number 9
 
0.4%
Dash Punctuation 2
 
0.1%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
출 104
 
5.2%
판 103
 
5.2%
사 79
 
4.0%
서 67
 
3.4%
도 64
 
3.2%
인 63
 
3.2%
스 44
 
2.2%
이 43
 
2.2%
주 38
 
1.9%
디 37
 
1.9%
Other values (364) 1348
67.7%
Uppercase Letter
ValueCountFrequency (%)
E 8
 
9.0%
I 8
 
9.0%
B 7
 
7.9%
N 7
 
7.9%
A 6
 
6.7%
T 6
 
6.7%
S 5
 
5.6%
K 4
 
4.5%
O 4
 
4.5%
P 4
 
4.5%
Other values (14) 30
33.7%
Lowercase Letter
ValueCountFrequency (%)
o 22
15.7%
s 13
 
9.3%
i 12
 
8.6%
e 12
 
8.6%
n 9
 
6.4%
u 7
 
5.0%
t 7
 
5.0%
r 7
 
5.0%
k 7
 
5.0%
a 6
 
4.3%
Other values (11) 38
27.1%
Decimal Number
ValueCountFrequency (%)
1 3
33.3%
2 3
33.3%
0 2
22.2%
3 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
/ 1
50.0%
& 1
50.0%
Space Separator
ValueCountFrequency (%)
164
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1983
80.5%
Common 243
 
9.9%
Latin 229
 
9.3%
Han 7
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
출 104
 
5.2%
판 103
 
5.2%
사 79
 
4.0%
서 67
 
3.4%
도 64
 
3.2%
인 63
 
3.2%
스 44
 
2.2%
이 43
 
2.2%
주 38
 
1.9%
디 37
 
1.9%
Other values (357) 1341
67.6%
Latin
ValueCountFrequency (%)
o 22
 
9.6%
s 13
 
5.7%
i 12
 
5.2%
e 12
 
5.2%
n 9
 
3.9%
E 8
 
3.5%
I 8
 
3.5%
B 7
 
3.1%
u 7
 
3.1%
t 7
 
3.1%
Other values (35) 124
54.1%
Common
ValueCountFrequency (%)
164
67.5%
) 34
 
14.0%
( 32
 
13.2%
1 3
 
1.2%
2 3
 
1.2%
- 2
 
0.8%
0 2
 
0.8%
/ 1
 
0.4%
3 1
 
0.4%
& 1
 
0.4%
Han
ValueCountFrequency (%)
禪 1
14.3%
院 1
14.3%
華 1
14.3%
龍 1
14.3%
孝 1
14.3%
友 1
14.3%
堂 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1983
80.5%
ASCII 472
 
19.2%
CJK 6
 
0.2%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
164
34.7%
) 34
 
7.2%
( 32
 
6.8%
o 22
 
4.7%
s 13
 
2.8%
i 12
 
2.5%
e 12
 
2.5%
n 9
 
1.9%
E 8
 
1.7%
I 8
 
1.7%
Other values (45) 158
33.5%
Hangul
ValueCountFrequency (%)
출 104
 
5.2%
판 103
 
5.2%
사 79
 
4.0%
서 67
 
3.4%
도 64
 
3.2%
인 63
 
3.2%
스 44
 
2.2%
이 43
 
2.2%
주 38
 
1.9%
디 37
 
1.9%
Other values (357) 1341
67.6%
CJK
ValueCountFrequency (%)
禪 1
16.7%
院 1
16.7%
華 1
16.7%
孝 1
16.7%
友 1
16.7%
堂 1
16.7%
CJK Compat Ideographs
ValueCountFrequency (%)
龍 1
100.0%

도로명주소
Text

Distinct337
Distinct (%)95.7%
Missing1
Missing (%)0.3%
Memory size2.9 KiB
2023-12-12T11:24:26.469002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length40
Mean length30.721591
Min length20

Characters and Unicode

Total characters10814
Distinct characters252
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

Unique325 ?
Unique (%)92.3%

Sample

1st row인천광역시 미추홀구 경인로 17, 1,3층 (숭의동)
2nd row인천광역시 미추홀구 인하로 100 (용현동)
3rd row인천광역시 미추홀구 독배로 485 (숭의동)
4th row인천광역시 미추홀구 인하로 100 (용현동)
5th row인천광역시 미추홀구 석바위로 129 (주안동)
ValueCountFrequency (%)
인천광역시 352
 
17.8%
미추홀구 352
 
17.8%
주안동 110
 
5.6%
도화동 66
 
3.3%
숭의동 52
 
2.6%
용현동 47
 
2.4%
경인로 30
 
1.5%
학익동 24
 
1.2%
석정로 23
 
1.2%
인하로 21
 
1.1%
Other values (545) 896
45.4%
2023-12-12T11:24:26.946654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1707
 
15.8%
인 473
 
4.4%
홀 384
 
3.6%
미 374
 
3.5%
천 372
 
3.4%
추 370
 
3.4%
동 370
 
3.4%
구 358
 
3.3%
광 357
 
3.3%
시 353
 
3.3%
Other values (242) 5696
52.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6723
62.2%
Space Separator 1707
 
15.8%
Decimal Number 1374
 
12.7%
Close Punctuation 343
 
3.2%
Open Punctuation 343
 
3.2%
Other Punctuation 218
 
2.0%
Dash Punctuation 71
 
0.7%
Uppercase Letter 26
 
0.2%
Lowercase Letter 9
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 473
 
7.0%
홀 384
 
5.7%
미 374
 
5.6%
천 372
 
5.5%
추 370
 
5.5%
동 370
 
5.5%
구 358
 
5.3%
광 357
 
5.3%
시 353
 
5.3%
역 353
 
5.3%
Other values (217) 2959
44.0%
Decimal Number
ValueCountFrequency (%)
1 249
18.1%
2 236
17.2%
3 154
11.2%
4 145
10.6%
6 118
8.6%
5 106
7.7%
0 103
7.5%
8 94
 
6.8%
7 88
 
6.4%
9 81
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
T 12
46.2%
I 8
30.8%
J 3
 
11.5%
S 2
 
7.7%
A 1
 
3.8%
Lowercase Letter
ValueCountFrequency (%)
e 5
55.6%
o 1
 
11.1%
w 1
 
11.1%
r 1
 
11.1%
h 1
 
11.1%
Space Separator
ValueCountFrequency (%)
1707
100.0%
Close Punctuation
ValueCountFrequency (%)
) 343
100.0%
Open Punctuation
ValueCountFrequency (%)
( 343
100.0%
Other Punctuation
ValueCountFrequency (%)
, 218
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 71
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6723
62.2%
Common 4056
37.5%
Latin 35
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 473
 
7.0%
홀 384
 
5.7%
미 374
 
5.6%
천 372
 
5.5%
추 370
 
5.5%
동 370
 
5.5%
구 358
 
5.3%
광 357
 
5.3%
시 353
 
5.3%
역 353
 
5.3%
Other values (217) 2959
44.0%
Common
ValueCountFrequency (%)
1707
42.1%
) 343
 
8.5%
( 343
 
8.5%
1 249
 
6.1%
2 236
 
5.8%
, 218
 
5.4%
3 154
 
3.8%
4 145
 
3.6%
6 118
 
2.9%
5 106
 
2.6%
Other values (5) 437
 
10.8%
Latin
ValueCountFrequency (%)
T 12
34.3%
I 8
22.9%
e 5
14.3%
J 3
 
8.6%
S 2
 
5.7%
A 1
 
2.9%
o 1
 
2.9%
w 1
 
2.9%
r 1
 
2.9%
h 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6723
62.2%
ASCII 4091
37.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1707
41.7%
) 343
 
8.4%
( 343
 
8.4%
1 249
 
6.1%
2 236
 
5.8%
, 218
 
5.3%
3 154
 
3.8%
4 145
 
3.5%
6 118
 
2.9%
5 106
 
2.6%
Other values (15) 472
 
11.5%
Hangul
ValueCountFrequency (%)
인 473
 
7.0%
홀 384
 
5.7%
미 374
 
5.6%
천 372
 
5.5%
추 370
 
5.5%
동 370
 
5.5%
구 358
 
5.3%
광 357
 
5.3%
시 353
 
5.3%
역 353
 
5.3%
Other values (217) 2959
44.0%

지번주소
Text

Distinct338
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2023-12-12T11:24:27.212770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length39
Mean length25.694051
Min length19

Characters and Unicode

Total characters9070
Distinct characters238
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

Unique329 ?
Unique (%)93.2%

Sample

1st row인천광역시 미추홀구 숭의동 162-1 1층,3층
2nd row인천광역시 미추홀구 용현동 253
3rd row인천광역시 미추홀구 숭의동 303-7
4th row인천광역시 미추홀구 용현동 253
5th row인천광역시 미추홀구 주안동 62-2
ValueCountFrequency (%)
인천광역시 353
20.3%
미추홀구 353
20.3%
주안동 127
 
7.3%
도화동 69
 
4.0%
숭의동 53
 
3.0%
용현동 53
 
3.0%
학익동 31
 
1.8%
2층 19
 
1.1%
관교동 15
 
0.9%
1층 15
 
0.9%
Other values (515) 650
37.4%
2023-12-12T11:24:27.618407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1609
 
17.7%
동 421
 
4.6%
인 374
 
4.1%
천 368
 
4.1%
1 367
 
4.0%
미 360
 
4.0%
광 358
 
3.9%
추 356
 
3.9%
홀 356
 
3.9%
시 355
 
3.9%
Other values (228) 4146
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5405
59.6%
Decimal Number 1691
 
18.6%
Space Separator 1609
 
17.7%
Dash Punctuation 325
 
3.6%
Uppercase Letter 29
 
0.3%
Lowercase Letter 7
 
0.1%
Other Punctuation 2
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 421
 
7.8%
인 374
 
6.9%
천 368
 
6.8%
미 360
 
6.7%
광 358
 
6.6%
추 356
 
6.6%
홀 356
 
6.6%
시 355
 
6.6%
역 354
 
6.5%
구 353
 
6.5%
Other values (203) 1750
32.4%
Decimal Number
ValueCountFrequency (%)
1 367
21.7%
2 241
14.3%
3 191
11.3%
5 162
9.6%
6 146
 
8.6%
4 126
 
7.5%
0 122
 
7.2%
8 114
 
6.7%
9 112
 
6.6%
7 110
 
6.5%
Uppercase Letter
ValueCountFrequency (%)
T 11
37.9%
I 8
27.6%
A 5
17.2%
J 2
 
6.9%
S 2
 
6.9%
B 1
 
3.4%
Lowercase Letter
ValueCountFrequency (%)
e 4
57.1%
h 1
 
14.3%
k 1
 
14.3%
t 1
 
14.3%
Space Separator
ValueCountFrequency (%)
1609
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 325
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5405
59.6%
Common 3629
40.0%
Latin 36
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 421
 
7.8%
인 374
 
6.9%
천 368
 
6.8%
미 360
 
6.7%
광 358
 
6.6%
추 356
 
6.6%
홀 356
 
6.6%
시 355
 
6.6%
역 354
 
6.5%
구 353
 
6.5%
Other values (203) 1750
32.4%
Common
ValueCountFrequency (%)
1609
44.3%
1 367
 
10.1%
- 325
 
9.0%
2 241
 
6.6%
3 191
 
5.3%
5 162
 
4.5%
6 146
 
4.0%
4 126
 
3.5%
0 122
 
3.4%
8 114
 
3.1%
Other values (5) 226
 
6.2%
Latin
ValueCountFrequency (%)
T 11
30.6%
I 8
22.2%
A 5
13.9%
e 4
 
11.1%
J 2
 
5.6%
S 2
 
5.6%
h 1
 
2.8%
B 1
 
2.8%
k 1
 
2.8%
t 1
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5405
59.6%
ASCII 3665
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1609
43.9%
1 367
 
10.0%
- 325
 
8.9%
2 241
 
6.6%
3 191
 
5.2%
5 162
 
4.4%
6 146
 
4.0%
4 126
 
3.4%
0 122
 
3.3%
8 114
 
3.1%
Other values (15) 262
 
7.1%
Hangul
ValueCountFrequency (%)
동 421
 
7.8%
인 374
 
6.9%
천 368
 
6.8%
미 360
 
6.7%
광 358
 
6.6%
추 356
 
6.6%
홀 356
 
6.6%
시 355
 
6.6%
역 354
 
6.5%
구 353
 
6.5%
Other values (203) 1750
32.4%

시설면적(제곱미터)
Real number (ℝ)

MISSING 

Distinct132
Distinct (%)85.7%
Missing199
Missing (%)56.4%
Infinite0
Infinite (%)0.0%
Mean98.870974
Minimum3.24
Maximum2178.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2023-12-12T11:24:27.836077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.24
5-th percentile14.37
Q139.675
median59.325
Q385.72
95-th percentile195.8705
Maximum2178.7
Range2175.46
Interquartile range (IQR)46.045

Descriptive statistics

Standard deviation216.85349
Coefficient of variation (CV)2.1932978
Kurtosis68.502763
Mean98.870974
Median Absolute Deviation (MAD)24.5
Skewness7.9153838
Sum15226.13
Variance47025.437
MonotonicityNot monotonic
2023-12-12T11:24:28.019959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
59.0 7
 
2.0%
39.6 3
 
0.8%
15.0 3
 
0.8%
60.0 3
 
0.8%
33.0 3
 
0.8%
10.0 2
 
0.6%
57.23 2
 
0.6%
56.0 2
 
0.6%
84.0 2
 
0.6%
74.0 2
 
0.6%
Other values (122) 125
35.4%
(Missing) 199
56.4%
ValueCountFrequency (%)
3.24 1
 
0.3%
4.68 1
 
0.3%
6.0 1
 
0.3%
7.0 1
 
0.3%
10.0 2
0.6%
13.17 1
 
0.3%
13.2 1
 
0.3%
15.0 3
0.8%
16.0 1
 
0.3%
18.6 1
 
0.3%
ValueCountFrequency (%)
2178.7 1
0.3%
1558.0 1
0.3%
488.33 1
0.3%
414.3 1
0.3%
274.38 1
0.3%
262.0 1
0.3%
237.29 1
0.3%
208.24 1
0.3%
189.21 1
0.3%
184.0 1
0.3%

위도
Real number (ℝ)

MISSING 

Distinct282
Distinct (%)84.4%
Missing19
Missing (%)5.4%
Infinite0
Infinite (%)0.0%
Mean37.457502
Minimum37.435495
Maximum37.47814
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2023-12-12T11:24:28.177674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.435495
5-th percentile37.44012
Q137.451196
median37.460007
Q337.463992
95-th percentile37.46894
Maximum37.47814
Range0.04264535
Interquartile range (IQR)0.01279617

Descriptive statistics

Standard deviation0.0091700214
Coefficient of variation (CV)0.00024481135
Kurtosis-0.52852058
Mean37.457502
Median Absolute Deviation (MAD)0.00579604
Skewness-0.43073086
Sum12510.806
Variance8.4089292 × 10-5
MonotonicityNot monotonic
2023-12-12T11:24:28.341203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.46456747 8
 
2.3%
37.45144803 5
 
1.4%
37.46875843 4
 
1.1%
37.46394963 4
 
1.1%
37.47440152 4
 
1.1%
37.45984908 4
 
1.1%
37.45221321 3
 
0.8%
37.44571241 3
 
0.8%
37.47501371 2
 
0.6%
37.4623604 2
 
0.6%
Other values (272) 295
83.6%
(Missing) 19
 
5.4%
ValueCountFrequency (%)
37.43549463 1
0.3%
37.43654516 1
0.3%
37.43682515 1
0.3%
37.43729122 1
0.3%
37.43830358 1
0.3%
37.43850222 1
0.3%
37.43855091 1
0.3%
37.438887 1
0.3%
37.43902339 1
0.3%
37.43906335 1
0.3%
ValueCountFrequency (%)
37.47813998 1
 
0.3%
37.47680035 1
 
0.3%
37.47505664 1
 
0.3%
37.47501371 2
0.6%
37.47472939 1
 
0.3%
37.47440152 4
1.1%
37.47401304 1
 
0.3%
37.47395988 1
 
0.3%
37.47249747 1
 
0.3%
37.47211022 1
 
0.3%

경도
Real number (ℝ)

MISSING 

Distinct282
Distinct (%)84.4%
Missing19
Missing (%)5.4%
Infinite0
Infinite (%)0.0%
Mean126.66897
Minimum126.6316
Maximum126.69716
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2023-12-12T11:24:28.506061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.6316
5-th percentile126.64322
Q1126.65759
median126.67011
Q3126.68087
95-th percentile126.69353
Maximum126.69716
Range0.0655504
Interquartile range (IQR)0.02328

Descriptive statistics

Standard deviation0.015379618
Coefficient of variation (CV)0.00012141583
Kurtosis-0.83401765
Mean126.66897
Median Absolute Deviation (MAD)0.01165625
Skewness-0.18205395
Sum42307.436
Variance0.00023653265
MonotonicityNot monotonic
2023-12-12T11:24:28.689630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.6679542 8
 
2.3%
126.6515423 5
 
1.4%
126.6608213 4
 
1.1%
126.6769176 4
 
1.1%
126.677486 4
 
1.1%
126.6729642 4
 
1.1%
126.6911163 3
 
0.8%
126.6877195 3
 
0.8%
126.6649416 2
 
0.6%
126.6944531 2
 
0.6%
Other values (272) 295
83.6%
(Missing) 19
 
5.4%
ValueCountFrequency (%)
126.6316047 1
0.3%
126.6326813 1
0.3%
126.6331407 1
0.3%
126.6367798 1
0.3%
126.6375506 1
0.3%
126.638292 1
0.3%
126.639036 1
0.3%
126.6393371 1
0.3%
126.6405051 1
0.3%
126.6406241 1
0.3%
ValueCountFrequency (%)
126.6971551 1
0.3%
126.6968763 1
0.3%
126.6961002 1
0.3%
126.6954737 1
0.3%
126.6953065 1
0.3%
126.6950059 1
0.3%
126.6949495 1
0.3%
126.6947188 1
0.3%
126.6946724 1
0.3%
126.694592 1
0.3%

Interactions

2023-12-12T11:24:24.037265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:24:22.954001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:24:23.357146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:24:24.142095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:24:23.122629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:24:23.474360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:24:24.240678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:24:23.241932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:24:23.589586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T11:24:28.796716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설면적(제곱미터)위도경도
시설면적(제곱미터)1.0000.0000.324
위도0.0001.0000.569
경도0.3240.5691.000
2023-12-12T11:24:28.904646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설면적(제곱미터)위도경도
시설면적(제곱미터)1.000-0.0460.045
위도-0.0461.000-0.145
경도0.045-0.1451.000

Missing values

2023-12-12T11:24:24.404788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:24:24.563358image/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.
2023-12-12T11:24:24.717699image/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

신고일자상호명도로명주소지번주소시설면적(제곱미터)위도경도
01981-01-30주식회사 동서문화출판사인천광역시 미추홀구 경인로 17, 1,3층 (숭의동)인천광역시 미추홀구 숭의동 162-1 1층,3층<NA>37.46338126.645146
11982-01-23인하대학교출판부인천광역시 미추홀구 인하로 100 (용현동)인천광역시 미추홀구 용현동 253<NA>37.451448126.651542
21985-01-12새롬출판사인천광역시 미추홀구 독배로 485 (숭의동)인천광역시 미추홀구 숭의동 303-7<NA>37.460649126.645004
31985-05-04인하공업전문대학 출판부인천광역시 미추홀구 인하로 100 (용현동)인천광역시 미추홀구 용현동 253<NA>37.451448126.651542
41990-09-05하나문화사인천광역시 미추홀구 석바위로 129 (주안동)인천광역시 미추홀구 주안동 62-2<NA>37.459933126.687245
51990-10-16아담문화사인천광역시 미추홀구 경인로 392 (주안동)인천광역시 미추홀구 주안동 431-1<NA>37.458034126.68316
61991-02-18코스모인터내셔날인천광역시 미추홀구 주안로 108 (주안동)인천광역시 미추홀구 주안동 136-1<NA>37.463661126.681733
71991-05-27도서출판국제전산교육개발원인천광역시 미추홀구 경인로 407 (주안동)인천광역시 미추홀구 주안동 77-7<NA>37.45857126.685523
81992-03-20용용출판사인천광역시 미추홀구 석정로 404 (주안동)인천광역시 미추홀구 주안동 24-5<NA>37.466612126.680249
91992-03-20리하우스 출판사인천광역시 미추홀구 한나루로 524 (주안동)인천광역시 미추홀구 주안동 715-3<NA>37.453339126.668619
신고일자상호명도로명주소지번주소시설면적(제곱미터)위도경도
3432021-02-24세컨드스타북스(Second Star Books)인천광역시 미추홀구 경원대로780번길 22 (주안동, 주안캐슬앤더샵에듀포레아파트)인천광역시 미추홀구 주안동 1556-59 주안캐슬앤더샵에듀포레아파트 010동10.037.452213126.691116
3442023-04-03하이진인천광역시 미추홀구 경원대로780번길 22 (주안동, 주안캐슬앤더샵에듀포레아파트)인천광역시 미추홀구 주안동 1556-59 주안캐슬앤더샵에듀포레아파트 108동<NA>37.452213126.691116
3452023-04-04사랑하는자인천광역시 미추홀구 미추로6번길 22 (숭의동, 태성)인천광역시 미추홀구 숭의동 186-8 태성<NA>37.461005126.649174
3462023-04-07소나무 디자인인천광역시 미추홀구 인주대로 304 (주안동)인천광역시 미추홀구 주안동 761-5 영인빌딩73.037.451742126.670196
3472023-04-11학자의 지혜인천광역시 미추홀구 경원대로 884 (주안동, 주안더월드스테이트)인천광역시 미추홀구 주안동 1614 주안더월드스테이트 132동<NA>37.46236126.694453
3482023-04-12대광인쇄복사인천광역시 미추홀구 장천로 7 (숭의동)인천광역시 미추홀구 숭의동 309-660.037.459028126.645743
3492013-12-04(주)일렉킴에듀인천광역시 미추홀구 매소홀로 262 (학익동)인천광역시 미추홀구 학익동 401-58 시티필드<NA><NA><NA>
3502022-06-02관계발전소인천광역시 미추홀구 숙골로88번길 12 (도화동, 더샵 인천스카이타워 1단지)인천광역시 미추홀구 도화동 1011 더샵 인천스카이타워 1단지 101동<NA><NA><NA>
3512023-05-18주식회사 신세계야구단인천광역시 미추홀구 매소홀로 618, 문학경기장 2층 (문학동)인천광역시 미추홀구 문학동 482 문학경기장 2층1558.037.436545126.686461
3522021-02-01꿈꾸는봄결인천광역시 미추홀구 인하로222번길 20 (주안동, 주안파크자이더플래티넘)인천광역시 미추홀구 주안동 830-2 주안파크자이더플래티넘 305동55.0<NA><NA>