Overview

Dataset statistics

Number of variables9
Number of observations47
Missing cells12
Missing cells (%)2.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.6 KiB
Average record size in memory77.8 B

Variable types

Numeric3
Categorical1
Text4
DateTime1

Dataset

Description인천광역시 남동구 국내외여행업에 대한 데이터로 연번, 업종, 상호, 소재지(지번), 소재지(도로명), 전화번호, 데이터기준일 항목을 공개합니다.
URLhttps://www.data.go.kr/data/15103648/fileData.do

Alerts

업종 has constant value ""Constant
데이터기준일 has constant value ""Constant
전화번호 has 12 (25.5%) missing valuesMissing
연번 has unique valuesUnique
상호 has unique valuesUnique
소재지(지번) has unique valuesUnique
소재지(도로명) has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:11:54.433114
Analysis finished2023-12-12 08:11:56.266452
Duration1.83 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24
Minimum1
Maximum47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2023-12-12T17:11:56.369269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.3
Q112.5
median24
Q335.5
95-th percentile44.7
Maximum47
Range46
Interquartile range (IQR)23

Descriptive statistics

Standard deviation13.711309
Coefficient of variation (CV)0.57130455
Kurtosis-1.2
Mean24
Median Absolute Deviation (MAD)12
Skewness0
Sum1128
Variance188
MonotonicityStrictly increasing
2023-12-12T17:11:56.543116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
1 1
 
2.1%
2 1
 
2.1%
27 1
 
2.1%
28 1
 
2.1%
29 1
 
2.1%
30 1
 
2.1%
31 1
 
2.1%
32 1
 
2.1%
33 1
 
2.1%
34 1
 
2.1%
Other values (37) 37
78.7%
ValueCountFrequency (%)
1 1
2.1%
2 1
2.1%
3 1
2.1%
4 1
2.1%
5 1
2.1%
6 1
2.1%
7 1
2.1%
8 1
2.1%
9 1
2.1%
10 1
2.1%
ValueCountFrequency (%)
47 1
2.1%
46 1
2.1%
45 1
2.1%
44 1
2.1%
43 1
2.1%
42 1
2.1%
41 1
2.1%
40 1
2.1%
39 1
2.1%
38 1
2.1%

업종
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size508.0 B
국내외여행업
47 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내외여행업 47
100.0%

Length

2023-12-12T17:11:56.706816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:11:56.809030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내외여행업 47
100.0%

상호
Text

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
2023-12-12T17:11:57.011327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length11
Mean length7.9148936
Min length3

Characters and Unicode

Total characters372
Distinct characters124
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)100.0%

Sample

1st row주식회사 파란항공여행사
2nd row주식회사 그랜드항공여행사
3rd row삼화항공 주식회사
4th row남북여행사
5th row주식회사 로얄항공여행사
ValueCountFrequency (%)
주식회사 10
 
14.7%
트립 2
 
2.9%
애플투어 1
 
1.5%
어 1
 
1.5%
주)월드트래블마케팅 1
 
1.5%
화인투어 1
 
1.5%
오션스테이 1
 
1.5%
주)더블유투어 1
 
1.5%
우노웍스 1
 
1.5%
앤 1
 
1.5%
Other values (48) 48
70.6%
2023-12-12T17:11:57.366842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 23
 
6.2%
사 23
 
6.2%
21
 
5.6%
여 15
 
4.0%
행 15
 
4.0%
어 15
 
4.0%
( 14
 
3.8%
) 14
 
3.8%
회 11
 
3.0%
투 11
 
3.0%
Other values (114) 210
56.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 313
84.1%
Space Separator 21
 
5.6%
Open Punctuation 14
 
3.8%
Close Punctuation 14
 
3.8%
Lowercase Letter 10
 
2.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 23
 
7.3%
사 23
 
7.3%
여 15
 
4.8%
행 15
 
4.8%
어 15
 
4.8%
회 11
 
3.5%
투 11
 
3.5%
식 10
 
3.2%
공 8
 
2.6%
스 8
 
2.6%
Other values (104) 174
55.6%
Lowercase Letter
ValueCountFrequency (%)
c 3
30.0%
e 2
20.0%
u 1
 
10.0%
b 1
 
10.0%
i 1
 
10.0%
o 1
 
10.0%
h 1
 
10.0%
Space Separator
ValueCountFrequency (%)
21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 313
84.1%
Common 49
 
13.2%
Latin 10
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 23
 
7.3%
사 23
 
7.3%
여 15
 
4.8%
행 15
 
4.8%
어 15
 
4.8%
회 11
 
3.5%
투 11
 
3.5%
식 10
 
3.2%
공 8
 
2.6%
스 8
 
2.6%
Other values (104) 174
55.6%
Latin
ValueCountFrequency (%)
c 3
30.0%
e 2
20.0%
u 1
 
10.0%
b 1
 
10.0%
i 1
 
10.0%
o 1
 
10.0%
h 1
 
10.0%
Common
ValueCountFrequency (%)
21
42.9%
( 14
28.6%
) 14
28.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 313
84.1%
ASCII 59
 
15.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 23
 
7.3%
사 23
 
7.3%
여 15
 
4.8%
행 15
 
4.8%
어 15
 
4.8%
회 11
 
3.5%
투 11
 
3.5%
식 10
 
3.2%
공 8
 
2.6%
스 8
 
2.6%
Other values (104) 174
55.6%
ASCII
ValueCountFrequency (%)
21
35.6%
( 14
23.7%
) 14
23.7%
c 3
 
5.1%
e 2
 
3.4%
u 1
 
1.7%
b 1
 
1.7%
i 1
 
1.7%
o 1
 
1.7%
h 1
 
1.7%

소재지(지번)
Text

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
2023-12-12T17:11:57.689994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length36
Mean length31.468085
Min length20

Characters and Unicode

Total characters1479
Distinct characters134
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)100.0%

Sample

1st row인천광역시 남동구 고잔동 630번지 산업용품상가 A동 312호 남동공단
2nd row인천광역시 남동구 간석동 482-3번지 낙원상가 306호
3rd row인천광역시 남동구 구월동 1367-1번지
4th row인천광역시 남동구 간석동 41-85번지 2층
5th row인천광역시 남동구 간석동 172-1번지 인천회관 한국교직원공제회
ValueCountFrequency (%)
인천광역시 47
 
16.7%
남동구 47
 
16.7%
구월동 21
 
7.4%
간석동 11
 
3.9%
논현동 9
 
3.2%
3층 4
 
1.4%
1층 3
 
1.1%
1130번지 3
 
1.1%
고잔동 3
 
1.1%
2층 3
 
1.1%
Other values (116) 131
46.5%
2023-12-12T17:11:58.169030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
235
 
15.9%
동 108
 
7.3%
구 73
 
4.9%
1 73
 
4.9%
지 57
 
3.9%
인 51
 
3.4%
남 51
 
3.4%
천 51
 
3.4%
광 49
 
3.3%
시 49
 
3.3%
Other values (124) 682
46.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 898
60.7%
Decimal Number 298
 
20.1%
Space Separator 235
 
15.9%
Dash Punctuation 35
 
2.4%
Uppercase Letter 13
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 108
 
12.0%
구 73
 
8.1%
지 57
 
6.3%
인 51
 
5.7%
남 51
 
5.7%
천 51
 
5.7%
광 49
 
5.5%
시 49
 
5.5%
역 48
 
5.3%
번 47
 
5.2%
Other values (104) 314
35.0%
Decimal Number
ValueCountFrequency (%)
1 73
24.5%
3 43
14.4%
0 34
11.4%
2 33
11.1%
6 32
10.7%
5 25
 
8.4%
4 22
 
7.4%
8 14
 
4.7%
7 11
 
3.7%
9 11
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
A 3
23.1%
V 2
15.4%
G 2
15.4%
C 2
15.4%
L 1
 
7.7%
H 1
 
7.7%
D 1
 
7.7%
O 1
 
7.7%
Space Separator
ValueCountFrequency (%)
235
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 898
60.7%
Common 568
38.4%
Latin 13
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 108
 
12.0%
구 73
 
8.1%
지 57
 
6.3%
인 51
 
5.7%
남 51
 
5.7%
천 51
 
5.7%
광 49
 
5.5%
시 49
 
5.5%
역 48
 
5.3%
번 47
 
5.2%
Other values (104) 314
35.0%
Common
ValueCountFrequency (%)
235
41.4%
1 73
 
12.9%
3 43
 
7.6%
- 35
 
6.2%
0 34
 
6.0%
2 33
 
5.8%
6 32
 
5.6%
5 25
 
4.4%
4 22
 
3.9%
8 14
 
2.5%
Other values (2) 22
 
3.9%
Latin
ValueCountFrequency (%)
A 3
23.1%
V 2
15.4%
G 2
15.4%
C 2
15.4%
L 1
 
7.7%
H 1
 
7.7%
D 1
 
7.7%
O 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 898
60.7%
ASCII 581
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
235
40.4%
1 73
 
12.6%
3 43
 
7.4%
- 35
 
6.0%
0 34
 
5.9%
2 33
 
5.7%
6 32
 
5.5%
5 25
 
4.3%
4 22
 
3.8%
8 14
 
2.4%
Other values (10) 35
 
6.0%
Hangul
ValueCountFrequency (%)
동 108
 
12.0%
구 73
 
8.1%
지 57
 
6.3%
인 51
 
5.7%
남 51
 
5.7%
천 51
 
5.7%
광 49
 
5.5%
시 49
 
5.5%
역 48
 
5.3%
번 47
 
5.2%
Other values (104) 314
35.0%

소재지(도로명)
Text

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
2023-12-12T17:11:58.535175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length40
Mean length35.93617
Min length17

Characters and Unicode

Total characters1689
Distinct characters153
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)100.0%

Sample

1st row인천광역시 남동구 은청로 4-7, A동 312호 (고잔동, 남동공단산업용품상가)
2nd row인천광역시 남동구 구월로 121, 306호 (간석동, 낙원상가)
3rd row인천광역시 남동구 문화로 101 (구월동)
4th row인천광역시 남동구 백범로 312-85, 2층 (간석동)
5th row인천광역시 남동구 백범로 357 (간석동, 한국교직원공제회 인천회관)
ValueCountFrequency (%)
인천광역시 47
 
14.6%
남동구 47
 
14.6%
구월동 20
 
6.2%
간석동 11
 
3.4%
논현동 8
 
2.5%
예술로 6
 
1.9%
청능대로 5
 
1.5%
3층 4
 
1.2%
홈플러스 3
 
0.9%
1층 3
 
0.9%
Other values (139) 169
52.3%
2023-12-12T17:11:59.049068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
276
 
16.3%
동 104
 
6.2%
구 74
 
4.4%
인 58
 
3.4%
남 55
 
3.3%
, 55
 
3.3%
천 53
 
3.1%
시 49
 
2.9%
역 49
 
2.9%
광 49
 
2.9%
Other values (143) 867
51.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 992
58.7%
Space Separator 276
 
16.3%
Decimal Number 256
 
15.2%
Other Punctuation 56
 
3.3%
Open Punctuation 45
 
2.7%
Close Punctuation 45
 
2.7%
Uppercase Letter 12
 
0.7%
Dash Punctuation 7
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 104
 
10.5%
구 74
 
7.5%
인 58
 
5.8%
남 55
 
5.5%
천 53
 
5.3%
시 49
 
4.9%
역 49
 
4.9%
광 49
 
4.9%
로 47
 
4.7%
월 27
 
2.7%
Other values (120) 427
43.0%
Decimal Number
ValueCountFrequency (%)
1 49
19.1%
2 40
15.6%
3 35
13.7%
0 30
11.7%
5 28
10.9%
4 18
 
7.0%
9 17
 
6.6%
8 15
 
5.9%
6 13
 
5.1%
7 11
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
A 3
25.0%
V 2
16.7%
C 2
16.7%
G 2
16.7%
D 1
 
8.3%
O 1
 
8.3%
N 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
, 55
98.2%
. 1
 
1.8%
Space Separator
ValueCountFrequency (%)
276
100.0%
Open Punctuation
ValueCountFrequency (%)
( 45
100.0%
Close Punctuation
ValueCountFrequency (%)
) 45
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 992
58.7%
Common 685
40.6%
Latin 12
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 104
 
10.5%
구 74
 
7.5%
인 58
 
5.8%
남 55
 
5.5%
천 53
 
5.3%
시 49
 
4.9%
역 49
 
4.9%
광 49
 
4.9%
로 47
 
4.7%
월 27
 
2.7%
Other values (120) 427
43.0%
Common
ValueCountFrequency (%)
276
40.3%
, 55
 
8.0%
1 49
 
7.2%
( 45
 
6.6%
) 45
 
6.6%
2 40
 
5.8%
3 35
 
5.1%
0 30
 
4.4%
5 28
 
4.1%
4 18
 
2.6%
Other values (6) 64
 
9.3%
Latin
ValueCountFrequency (%)
A 3
25.0%
V 2
16.7%
C 2
16.7%
G 2
16.7%
D 1
 
8.3%
O 1
 
8.3%
N 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 992
58.7%
ASCII 697
41.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
276
39.6%
, 55
 
7.9%
1 49
 
7.0%
( 45
 
6.5%
) 45
 
6.5%
2 40
 
5.7%
3 35
 
5.0%
0 30
 
4.3%
5 28
 
4.0%
4 18
 
2.6%
Other values (13) 76
 
10.9%
Hangul
ValueCountFrequency (%)
동 104
 
10.5%
구 74
 
7.5%
인 58
 
5.8%
남 55
 
5.5%
천 53
 
5.3%
시 49
 
4.9%
역 49
 
4.9%
광 49
 
4.9%
로 47
 
4.7%
월 27
 
2.7%
Other values (120) 427
43.0%

전화번호
Text

MISSING 

Distinct35
Distinct (%)100.0%
Missing12
Missing (%)25.5%
Memory size508.0 B
2023-12-12T17:11:59.311907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12
Min length9

Characters and Unicode

Total characters420
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

Unique35 ?
Unique (%)100.0%

Sample

1st row032-469-8030
2nd row032-421-2161
3rd row032-421-6700
4th row032-421-4077
5th row032-424-1470
ValueCountFrequency (%)
032-469-8030 1
 
2.9%
070-4239-5236 1
 
2.9%
032-441-2365 1
 
2.9%
032-465-1544 1
 
2.9%
032-874-9001 1
 
2.9%
032-815-5100 1
 
2.9%
032-502-4635 1
 
2.9%
032-433-5533 1
 
2.9%
070-7677-9677 1
 
2.9%
032-431-2525 1
 
2.9%
Other values (25) 25
71.4%
2023-12-12T17:11:59.815025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 69
16.4%
2 68
16.2%
0 66
15.7%
3 58
13.8%
4 37
8.8%
1 28
6.7%
5 27
 
6.4%
7 22
 
5.2%
6 21
 
5.0%
8 16
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 351
83.6%
Dash Punctuation 69
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 68
19.4%
0 66
18.8%
3 58
16.5%
4 37
10.5%
1 28
8.0%
5 27
 
7.7%
7 22
 
6.3%
6 21
 
6.0%
8 16
 
4.6%
9 8
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 69
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 420
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 69
16.4%
2 68
16.2%
0 66
15.7%
3 58
13.8%
4 37
8.8%
1 28
6.7%
5 27
 
6.4%
7 22
 
5.2%
6 21
 
5.0%
8 16
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 420
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 69
16.4%
2 68
16.2%
0 66
15.7%
3 58
13.8%
4 37
8.8%
1 28
6.7%
5 27
 
6.4%
7 22
 
5.2%
6 21
 
5.0%
8 16
 
3.8%

위도
Real number (ℝ)

Distinct40
Distinct (%)85.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.439409
Minimum37.395297
Maximum37.470655
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2023-12-12T17:12:00.005948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.395297
5-th percentile37.401016
Q137.415859
median37.449432
Q337.454636
95-th percentile37.466992
Maximum37.470655
Range0.07535759
Interquartile range (IQR)0.038777225

Descriptive statistics

Standard deviation0.024087976
Coefficient of variation (CV)0.00064338558
Kurtosis-1.0251513
Mean37.439409
Median Absolute Deviation (MAD)0.0132877
Skewness-0.65720366
Sum1759.6522
Variance0.00058023057
MonotonicityNot monotonic
2023-12-12T17:12:00.176637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
37.45173564 3
 
6.4%
37.40127852 3
 
6.4%
37.43918718 2
 
4.3%
37.45242769 2
 
4.3%
37.44087947 2
 
4.3%
37.46704406 1
 
2.1%
37.45121639 1
 
2.1%
37.4496927 1
 
2.1%
37.46448014 1
 
2.1%
37.40269499 1
 
2.1%
Other values (30) 30
63.8%
ValueCountFrequency (%)
37.39529728 1
 
2.1%
37.40047259 1
 
2.1%
37.40090402 1
 
2.1%
37.40127852 3
6.4%
37.40151444 1
 
2.1%
37.40215688 1
 
2.1%
37.40269499 1
 
2.1%
37.40496673 1
 
2.1%
37.40695006 1
 
2.1%
37.40938254 1
 
2.1%
ValueCountFrequency (%)
37.47065487 1
2.1%
37.46958775 1
2.1%
37.46704406 1
2.1%
37.46687026 1
2.1%
37.46664377 1
2.1%
37.46530282 1
2.1%
37.46448014 1
2.1%
37.46433525 1
2.1%
37.46353507 1
2.1%
37.46271933 1
2.1%

경도
Real number (ℝ)

Distinct40
Distinct (%)85.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.70941
Minimum126.68784
Maximum126.75773
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2023-12-12T17:12:00.343993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.68784
5-th percentile126.69343
Q1126.70159
median126.70854
Q3126.71638
95-th percentile126.72633
Maximum126.75773
Range0.0698867
Interquartile range (IQR)0.01479445

Descriptive statistics

Standard deviation0.012827518
Coefficient of variation (CV)0.00010123571
Kurtosis2.9654538
Mean126.70941
Median Absolute Deviation (MAD)0.0071469
Skewness1.1804956
Sum5955.3425
Variance0.00016454522
MonotonicityNot monotonic
2023-12-12T17:12:00.839312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
126.7019459 3
 
6.4%
126.7235862 3
 
6.4%
126.7096318 2
 
4.3%
126.701787 2
 
4.3%
126.7086535 2
 
4.3%
126.6986519 1
 
2.1%
126.6973323 1
 
2.1%
126.7128872 1
 
2.1%
126.7171669 1
 
2.1%
126.7312991 1
 
2.1%
Other values (30) 30
63.8%
ValueCountFrequency (%)
126.6878385 1
2.1%
126.689112 1
2.1%
126.6933996 1
2.1%
126.6935115 1
2.1%
126.6958198 1
2.1%
126.696574 1
2.1%
126.6973323 1
2.1%
126.6980866 1
2.1%
126.6986519 1
2.1%
126.6991613 1
2.1%
ValueCountFrequency (%)
126.7577252 1
 
2.1%
126.7312991 1
 
2.1%
126.7265933 1
 
2.1%
126.7257232 1
 
2.1%
126.7248251 1
 
2.1%
126.7235862 3
6.4%
126.7220688 1
 
2.1%
126.7214467 1
 
2.1%
126.7194107 1
 
2.1%
126.7171669 1
 
2.1%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size508.0 B
Minimum2023-05-01 00:00:00
Maximum2023-05-01 00:00:00
2023-12-12T17:12:00.962319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:12:01.059165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T17:11:55.591250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:11:54.910496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:11:55.218866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:11:55.710180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:11:54.990609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:11:55.340207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:11:55.836453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:11:55.097198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:11:55.466089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:12:01.140522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번상호소재지(지번)소재지(도로명)전화번호위도경도
연번1.0001.0001.0001.0001.0000.3340.297
상호1.0001.0001.0001.0001.0001.0001.000
소재지(지번)1.0001.0001.0001.0001.0001.0001.000
소재지(도로명)1.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.000
위도0.3341.0001.0001.0001.0001.0000.744
경도0.2971.0001.0001.0001.0000.7441.000
2023-12-12T17:12:01.242545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.000-0.3140.292
위도-0.3141.000-0.474
경도0.292-0.4741.000

Missing values

2023-12-12T17:11:56.019286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:11:56.194819image/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

연번업종상호소재지(지번)소재지(도로명)전화번호위도경도데이터기준일
01국내외여행업주식회사 파란항공여행사인천광역시 남동구 고잔동 630번지 산업용품상가 A동 312호 남동공단인천광역시 남동구 은청로 4-7, A동 312호 (고잔동, 남동공단산업용품상가)032-469-803037.40695126.69342023-05-01
12국내외여행업주식회사 그랜드항공여행사인천광역시 남동구 간석동 482-3번지 낙원상가 306호인천광역시 남동구 구월로 121, 306호 (간석동, 낙원상가)032-421-216137.456893126.7038572023-05-01
23국내외여행업삼화항공 주식회사인천광역시 남동구 구월동 1367-1번지인천광역시 남동구 문화로 101 (구월동)032-421-670037.448065126.6991612023-05-01
34국내외여행업남북여행사인천광역시 남동구 간석동 41-85번지 2층인천광역시 남동구 백범로 312-85, 2층 (간석동)032-421-407737.463535126.71562023-05-01
45국내외여행업주식회사 로얄항공여행사인천광역시 남동구 간석동 172-1번지 인천회관 한국교직원공제회인천광역시 남동구 백범로 357 (간석동, 한국교직원공제회 인천회관)032-424-147037.465303126.7107892023-05-01
56국내외여행업주식회사 마이스트인천광역시 남동구 구월동 1131-3번지 중앙프라자 비동 402호인천광역시 남동구 예술로 206, 비동 402호 (구월동, 중앙프라자)032-435-710037.452428126.7017872023-05-01
67국내외여행업(주)가자여행사인천광역시 남동구 구월동 1465-1번지 뉴코아아울렛인천점 8층인천광역시 남동구 인하로 485, 8층 (구월동, 뉴코아아울렛 인천점)032-422-272737.444018126.7006892023-05-01
78국내외여행업(주)라이브투어인천광역시 남동구 구월동 1144-5번지 굿모닝타워 202호일부호인천광역시 남동구 인주대로623번길 26, 202일부호 (구월동, 굿모닝타워)032-427-720037.451048126.7066482023-05-01
89국내외여행업(주)수림관광여행사인천광역시 남동구 간석동 616-85번지 간석자동차매매단지 9층인천광역시 남동구 방축로 414, 간석자동차매매단지 9층 (간석동)032-421-222237.470655126.6878382023-05-01
910국내외여행업주식회사 하늘여행인천광역시 남동구 구월동 1529번지 라스2 두플 3층인천광역시 남동구 선수촌공원로 30, 두플라스2 3층 (구월동)032-434-336637.441558126.7105522023-05-01
연번업종상호소재지(지번)소재지(도로명)전화번호위도경도데이터기준일
3738국내외여행업에스엘피 코리아인천광역시 남동구 고잔동 163-6번지 2층인천광역시 남동구 논현고잔로 142-1, 2층 (고잔동)<NA>37.395297126.7145852023-05-01
3839국내외여행업트래블인코타인천광역시 남동구 논현동 617-1번지 성지타워 603동 10호인천광역시 남동구 청능대로595번길 17, 성지타워 603-10호 (논현동)<NA>37.402157126.7248252023-05-01
3940국내외여행업찐투어인천광역시 남동구 남촌동 652번지 남촌농산물도매시장 업무동 301A호인천광역시 남동구 비류대로 763, 남촌 농산물 도매시장 업무동 301A호 (남촌동)032-422-026837.422336126.7194112023-05-01
4041국내외여행업더쎈골프인천광역시 남동구 논현동 632-1번지 칼리오페인천광역시 남동구 논고개로123번길 35, 칼리오페070-7677-967737.401514126.7220692023-05-01
4142국내외여행업무인도섬테마연구소인천광역시 남동구 구월동 1346번지인천광역시 남동구 문화로115번길 23 (구월동)<NA>37.449432126.6980872023-05-01
4243국내외여행업주식회사 리틀프린스코리아인천광역시 남동구 간석동 432-5번지 1층인천광역시 남동구 경인로 594, 1층 (간석동)<NA>37.464335126.7038762023-05-01
4344국내외여행업(주)여행마루인천광역시 남동구 구월동 1499-1번지 센트럴프라자 103호인천광역시 남동구 인하로 559, 센트럴프라자 103호 (구월동)032-521-336137.443062126.7088762023-05-01
4445국내외여행업하늬투어인천광역시 남동구 구월동 1130번지 홈플러스 CGV 지3층인천광역시 남동구 예술로 198, CGV 홈플러스 지3층 (구월동)<NA>37.451736126.7019462023-05-01
4546국내외여행업초이스 세부(choice cebu)인천광역시 남동구 논현동 631-8번지 광성프라자 503동 625호인천광역시 남동구 청능대로 581, 광성프라자 503-625호 (논현동)<NA>37.401279126.7235862023-05-01
4647국내외여행업주식회사 유니콘테크인천광역시 남동구 논현동 631-8번지 광성프라자 5층 503동 107호인천광역시 남동구 청능대로 581, 광성프라자 5층 503-107호 (논현동)<NA>37.401279126.7235862023-05-01