Overview

Dataset statistics

Number of variables7
Number of observations46
Missing cells34
Missing cells (%)10.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 KiB
Average record size in memory61.9 B

Variable types

Numeric3
Text4

Dataset

Description인천광역시 미추홀구 비디오물 제작업소 현황에 대한 데이터로 관내 비디오물 제작 업소의 상호명, 도로명주소, 전화번호,위도,경도 등의 데이터를 제공합니다.
Author인천광역시 미추홀구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15060808&srcSe=7661IVAWM27C61E190

Alerts

전화번호 has 34 (73.9%) missing valuesMissing
연번 has unique valuesUnique
상호 has unique valuesUnique

Reproduction

Analysis started2024-03-18 04:26:47.300786
Analysis finished2024-03-18 04:26:49.981714
Duration2.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.5
Minimum1
Maximum46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-03-18T13:26:50.038909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.25
Q112.25
median23.5
Q334.75
95-th percentile43.75
Maximum46
Range45
Interquartile range (IQR)22.5

Descriptive statistics

Standard deviation13.422618
Coefficient of variation (CV)0.57117522
Kurtosis-1.2
Mean23.5
Median Absolute Deviation (MAD)11.5
Skewness0
Sum1081
Variance180.16667
MonotonicityStrictly increasing
2024-03-18T13:26:50.150471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
1 1
 
2.2%
36 1
 
2.2%
27 1
 
2.2%
28 1
 
2.2%
29 1
 
2.2%
30 1
 
2.2%
31 1
 
2.2%
32 1
 
2.2%
33 1
 
2.2%
34 1
 
2.2%
Other values (36) 36
78.3%
ValueCountFrequency (%)
1 1
2.2%
2 1
2.2%
3 1
2.2%
4 1
2.2%
5 1
2.2%
6 1
2.2%
7 1
2.2%
8 1
2.2%
9 1
2.2%
10 1
2.2%
ValueCountFrequency (%)
46 1
2.2%
45 1
2.2%
44 1
2.2%
43 1
2.2%
42 1
2.2%
41 1
2.2%
40 1
2.2%
39 1
2.2%
38 1
2.2%
37 1
2.2%

상호
Text

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2024-03-18T13:26:50.344203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length10
Mean length7.6521739
Min length2

Characters and Unicode

Total characters352
Distinct characters142
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)100.0%

Sample

1st row오렌지미디어
2nd row플러스 미디어
3rd row엠에스이지티브이(MsEGTV) 모바일방송
4th row남인천방송(주)
5th row(주)저스트 아이디어
ValueCountFrequency (%)
주식회사 8
 
12.7%
미디어 2
 
3.2%
박앤미디어 2
 
3.2%
프로무드 1
 
1.6%
퓨처월드 1
 
1.6%
㈜여시 1
 
1.6%
㈜슬레이트미디어 1
 
1.6%
에스아이케이미디어 1
 
1.6%
주)한테크 1
 
1.6%
팍스영상공작소 1
 
1.6%
Other values (44) 44
69.8%
2024-03-18T13:26:50.651274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 20
 
5.7%
디 17
 
4.8%
17
 
4.8%
( 15
 
4.3%
) 15
 
4.3%
어 11
 
3.1%
사 11
 
3.1%
이 11
 
3.1%
미 10
 
2.8%
회 9
 
2.6%
Other values (132) 216
61.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 278
79.0%
Space Separator 17
 
4.8%
Open Punctuation 15
 
4.3%
Close Punctuation 15
 
4.3%
Uppercase Letter 11
 
3.1%
Decimal Number 8
 
2.3%
Lowercase Letter 6
 
1.7%
Other Symbol 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 20
 
7.2%
디 17
 
6.1%
어 11
 
4.0%
사 11
 
4.0%
이 11
 
4.0%
미 10
 
3.6%
회 9
 
3.2%
스 9
 
3.2%
인 9
 
3.2%
식 8
 
2.9%
Other values (109) 163
58.6%
Uppercase Letter
ValueCountFrequency (%)
B 2
18.2%
T 2
18.2%
N 1
9.1%
W 1
9.1%
O 1
9.1%
V 1
9.1%
G 1
9.1%
E 1
9.1%
M 1
9.1%
Decimal Number
ValueCountFrequency (%)
0 3
37.5%
1 2
25.0%
8 1
 
12.5%
3 1
 
12.5%
2 1
 
12.5%
Lowercase Letter
ValueCountFrequency (%)
e 2
33.3%
h 1
16.7%
u 1
16.7%
m 1
16.7%
s 1
16.7%
Space Separator
ValueCountFrequency (%)
17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 280
79.5%
Common 55
 
15.6%
Latin 17
 
4.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 20
 
7.1%
디 17
 
6.1%
어 11
 
3.9%
사 11
 
3.9%
이 11
 
3.9%
미 10
 
3.6%
회 9
 
3.2%
스 9
 
3.2%
인 9
 
3.2%
식 8
 
2.9%
Other values (110) 165
58.9%
Latin
ValueCountFrequency (%)
B 2
11.8%
T 2
11.8%
e 2
11.8%
h 1
 
5.9%
u 1
 
5.9%
m 1
 
5.9%
N 1
 
5.9%
W 1
 
5.9%
O 1
 
5.9%
V 1
 
5.9%
Other values (4) 4
23.5%
Common
ValueCountFrequency (%)
17
30.9%
( 15
27.3%
) 15
27.3%
0 3
 
5.5%
1 2
 
3.6%
8 1
 
1.8%
3 1
 
1.8%
2 1
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 278
79.0%
ASCII 72
 
20.5%
None 2
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 20
 
7.2%
디 17
 
6.1%
어 11
 
4.0%
사 11
 
4.0%
이 11
 
4.0%
미 10
 
3.6%
회 9
 
3.2%
스 9
 
3.2%
인 9
 
3.2%
식 8
 
2.9%
Other values (109) 163
58.6%
ASCII
ValueCountFrequency (%)
17
23.6%
( 15
20.8%
) 15
20.8%
0 3
 
4.2%
1 2
 
2.8%
B 2
 
2.8%
T 2
 
2.8%
e 2
 
2.8%
8 1
 
1.4%
3 1
 
1.4%
Other values (12) 12
16.7%
None
ValueCountFrequency (%)
㈜ 2
100.0%

영업소소재지(도로명)
Text

Distinct32
Distinct (%)69.6%
Missing0
Missing (%)0.0%
Memory size500.0 B
2024-03-18T13:26:50.829918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length18
Mean length19.891304
Min length17

Characters and Unicode

Total characters915
Distinct characters62
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)63.0%

Sample

1st row인천광역시 미추홀구 주승로 264
2nd row인천광역시 미추홀구 경원대로 911-9
3rd row인천광역시 미추홀구 인주대로 348 (주안동)
4th row인천광역시 미추홀구 미추홀대로697번길 22
5th row인천광역시 미추홀구 경인로 229
ValueCountFrequency (%)
인천광역시 46
24.2%
미추홀구 46
24.2%
229 11
 
5.8%
석바위로 9
 
4.7%
경인로 7
 
3.7%
석정로 7
 
3.7%
78 6
 
3.2%
경원대로 2
 
1.1%
도화동 2
 
1.1%
주안로 2
 
1.1%
Other values (50) 52
27.4%
2024-03-18T13:26:51.181054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
145
15.8%
인 58
 
6.3%
홀 49
 
5.4%
미 48
 
5.2%
추 48
 
5.2%
광 46
 
5.0%
역 46
 
5.0%
시 46
 
5.0%
구 46
 
5.0%
천 46
 
5.0%
Other values (52) 337
36.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 611
66.8%
Decimal Number 146
 
16.0%
Space Separator 145
 
15.8%
Dash Punctuation 5
 
0.5%
Close Punctuation 4
 
0.4%
Open Punctuation 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 58
9.5%
홀 49
 
8.0%
미 48
 
7.9%
추 48
 
7.9%
광 46
 
7.5%
역 46
 
7.5%
시 46
 
7.5%
구 46
 
7.5%
천 46
 
7.5%
로 43
 
7.0%
Other values (38) 135
22.1%
Decimal Number
ValueCountFrequency (%)
2 37
25.3%
1 20
13.7%
9 18
12.3%
8 17
11.6%
7 17
11.6%
3 11
 
7.5%
6 10
 
6.8%
4 6
 
4.1%
5 5
 
3.4%
0 5
 
3.4%
Space Separator
ValueCountFrequency (%)
145
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 611
66.8%
Common 304
33.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 58
9.5%
홀 49
 
8.0%
미 48
 
7.9%
추 48
 
7.9%
광 46
 
7.5%
역 46
 
7.5%
시 46
 
7.5%
구 46
 
7.5%
천 46
 
7.5%
로 43
 
7.0%
Other values (38) 135
22.1%
Common
ValueCountFrequency (%)
145
47.7%
2 37
 
12.2%
1 20
 
6.6%
9 18
 
5.9%
8 17
 
5.6%
7 17
 
5.6%
3 11
 
3.6%
6 10
 
3.3%
4 6
 
2.0%
5 5
 
1.6%
Other values (4) 18
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 611
66.8%
ASCII 304
33.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
145
47.7%
2 37
 
12.2%
1 20
 
6.6%
9 18
 
5.9%
8 17
 
5.6%
7 17
 
5.6%
3 11
 
3.6%
6 10
 
3.3%
4 6
 
2.0%
5 5
 
1.6%
Other values (4) 18
 
5.9%
Hangul
ValueCountFrequency (%)
인 58
9.5%
홀 49
 
8.0%
미 48
 
7.9%
추 48
 
7.9%
광 46
 
7.5%
역 46
 
7.5%
시 46
 
7.5%
구 46
 
7.5%
천 46
 
7.5%
로 43
 
7.0%
Other values (38) 135
22.1%

전화번호
Text

MISSING 

Distinct12
Distinct (%)100.0%
Missing34
Missing (%)73.9%
Memory size500.0 B
2024-03-18T13:26:51.387399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.25
Min length12

Characters and Unicode

Total characters147
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

Unique12 ?
Unique (%)100.0%

Sample

1st row032-422-0250
2nd row032-433-0542
3rd row032-881-0450
4th row032-230-1410
5th row032-245-7659
ValueCountFrequency (%)
032-422-0250 1
8.3%
032-433-0542 1
8.3%
032-881-0450 1
8.3%
032-230-1410 1
8.3%
032-245-7659 1
8.3%
032-205-4848 1
8.3%
070-7123-6380 1
8.3%
032-471-3080 1
8.3%
070-8290-5174 1
8.3%
032-427-6390 1
8.3%
Other values (2) 2
16.7%
2024-03-18T13:26:51.685938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 30
20.4%
- 24
16.3%
2 21
14.3%
3 17
11.6%
4 13
8.8%
8 11
 
7.5%
5 9
 
6.1%
7 8
 
5.4%
1 7
 
4.8%
6 4
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 123
83.7%
Dash Punctuation 24
 
16.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 30
24.4%
2 21
17.1%
3 17
13.8%
4 13
10.6%
8 11
 
8.9%
5 9
 
7.3%
7 8
 
6.5%
1 7
 
5.7%
6 4
 
3.3%
9 3
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 147
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 30
20.4%
- 24
16.3%
2 21
14.3%
3 17
11.6%
4 13
8.8%
8 11
 
7.5%
5 9
 
6.1%
7 8
 
5.4%
1 7
 
4.8%
6 4
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 147
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 30
20.4%
- 24
16.3%
2 21
14.3%
3 17
11.6%
4 13
8.8%
8 11
 
7.5%
5 9
 
6.1%
7 8
 
5.4%
1 7
 
4.8%
6 4
 
2.7%

품목
Text

Distinct34
Distinct (%)73.9%
Missing0
Missing (%)0.0%
Memory size500.0 B
2024-03-18T13:26:51.845339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length36
Mean length12.804348
Min length4

Characters and Unicode

Total characters589
Distinct characters93
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)65.2%

Sample

1st row비디오물
2nd row비디오물
3rd row비디오물
4th row방송컨텐츠
5th row비디오물
ValueCountFrequency (%)
비디오물 14
 
12.2%
및 7
 
6.1%
영상 5
 
4.3%
등 4
 
3.5%
영화 3
 
2.6%
영상콘텐츠 3
 
2.6%
영상물제작 3
 
2.6%
제작 3
 
2.6%
광고 3
 
2.6%
홍보영상 3
 
2.6%
Other values (60) 67
58.3%
2024-03-18T13:26:52.101974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
69
 
11.7%
영 44
 
7.5%
상 38
 
6.5%
, 34
 
5.8%
물 29
 
4.9%
제 23
 
3.9%
작 23
 
3.9%
비 21
 
3.6%
디 20
 
3.4%
오 18
 
3.1%
Other values (83) 270
45.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 474
80.5%
Space Separator 69
 
11.7%
Other Punctuation 35
 
5.9%
Uppercase Letter 4
 
0.7%
Open Punctuation 3
 
0.5%
Close Punctuation 3
 
0.5%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 44
 
9.3%
상 38
 
8.0%
물 29
 
6.1%
제 23
 
4.9%
작 23
 
4.9%
비 21
 
4.4%
디 20
 
4.2%
오 18
 
3.8%
고 16
 
3.4%
업 15
 
3.2%
Other values (75) 227
47.9%
Other Punctuation
ValueCountFrequency (%)
, 34
97.1%
/ 1
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
D 3
75.0%
V 1
 
25.0%
Space Separator
ValueCountFrequency (%)
69
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 474
80.5%
Common 111
 
18.8%
Latin 4
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 44
 
9.3%
상 38
 
8.0%
물 29
 
6.1%
제 23
 
4.9%
작 23
 
4.9%
비 21
 
4.4%
디 20
 
4.2%
오 18
 
3.8%
고 16
 
3.4%
업 15
 
3.2%
Other values (75) 227
47.9%
Common
ValueCountFrequency (%)
69
62.2%
, 34
30.6%
( 3
 
2.7%
) 3
 
2.7%
/ 1
 
0.9%
3 1
 
0.9%
Latin
ValueCountFrequency (%)
D 3
75.0%
V 1
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 474
80.5%
ASCII 115
 
19.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
69
60.0%
, 34
29.6%
D 3
 
2.6%
( 3
 
2.6%
) 3
 
2.6%
V 1
 
0.9%
/ 1
 
0.9%
3 1
 
0.9%
Hangul
ValueCountFrequency (%)
영 44
 
9.3%
상 38
 
8.0%
물 29
 
6.1%
제 23
 
4.9%
작 23
 
4.9%
비 21
 
4.4%
디 20
 
4.2%
오 18
 
3.8%
고 16
 
3.4%
업 15
 
3.2%
Other values (75) 227
47.9%

위도
Real number (ℝ)

Distinct32
Distinct (%)69.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.460578
Minimum37.437646
Maximum37.474402
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-03-18T13:26:52.228603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.437646
5-th percentile37.446581
Q137.458008
median37.462976
Q337.465518
95-th percentile37.468758
Maximum37.474402
Range0.03675533
Interquartile range (IQR)0.007510125

Descriptive statistics

Standard deviation0.0080724073
Coefficient of variation (CV)0.00021549073
Kurtosis0.86225647
Mean37.460578
Median Absolute Deviation (MAD)0.00304185
Skewness-1.0978872
Sum1723.1866
Variance6.516376 × 10-5
MonotonicityNot monotonic
2024-03-18T13:26:52.370426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
37.46456747 6
 
13.0%
37.46085716 6
 
13.0%
37.46875843 5
 
10.9%
37.43986722 1
 
2.2%
37.44708339 1
 
2.2%
37.44657144 1
 
2.2%
37.46505442 1
 
2.2%
37.45736386 1
 
2.2%
37.46060868 1
 
2.2%
37.46602833 1
 
2.2%
Other values (22) 22
47.8%
ValueCountFrequency (%)
37.43764619 1
2.2%
37.43986722 1
2.2%
37.44657144 1
2.2%
37.44660891 1
2.2%
37.44708339 1
2.2%
37.45050145 1
2.2%
37.4510762 1
2.2%
37.45142192 1
2.2%
37.45174231 1
2.2%
37.45405322 1
2.2%
ValueCountFrequency (%)
37.47440152 1
 
2.2%
37.46958904 1
 
2.2%
37.46875843 5
10.9%
37.46843273 1
 
2.2%
37.4668325 1
 
2.2%
37.46602833 1
 
2.2%
37.4660236 1
 
2.2%
37.46567252 1
 
2.2%
37.46505442 1
 
2.2%
37.46456747 6
13.0%

경도
Real number (ℝ)

Distinct32
Distinct (%)69.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.66911
Minimum126.63286
Maximum126.69536
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-03-18T13:26:52.495190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.63286
5-th percentile126.63772
Q1126.66082
median126.66959
Q3126.68051
95-th percentile126.68787
Maximum126.69536
Range0.0625021
Interquartile range (IQR)0.019686775

Descriptive statistics

Standard deviation0.014585678
Coefficient of variation (CV)0.00011514786
Kurtosis0.40581048
Mean126.66911
Median Absolute Deviation (MAD)0.0093438
Skewness-0.81305708
Sum5826.7791
Variance0.00021274199
MonotonicityNot monotonic
2024-03-18T13:26:52.598988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
126.6679542 6
 
13.0%
126.6815188 6
 
13.0%
126.6608213 5
 
10.9%
126.6953592 1
 
2.2%
126.6852052 1
 
2.2%
126.6744956 1
 
2.2%
126.6481961 1
 
2.2%
126.6580449 1
 
2.2%
126.679295 1
 
2.2%
126.6640849 1
 
2.2%
Other values (22) 22
47.8%
ValueCountFrequency (%)
126.6328571 1
 
2.2%
126.6341943 1
 
2.2%
126.6345987 1
 
2.2%
126.6470654 1
 
2.2%
126.6481961 1
 
2.2%
126.6506205 1
 
2.2%
126.6506375 1
 
2.2%
126.6580449 1
 
2.2%
126.6608213 5
10.9%
126.6631957 1
 
2.2%
ValueCountFrequency (%)
126.6953592 1
 
2.2%
126.6894281 1
 
2.2%
126.688759 1
 
2.2%
126.6852052 1
 
2.2%
126.6817327 1
 
2.2%
126.6815188 6
13.0%
126.6806235 1
 
2.2%
126.6801618 1
 
2.2%
126.6795704 1
 
2.2%
126.679295 1
 
2.2%

Interactions

2024-03-18T13:26:49.542782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:26:49.072222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:26:49.324316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:26:49.621777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:26:49.192106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:26:49.387172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:26:49.713395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:26:49.260572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:26:49.464377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T13:26:52.681292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번상호영업소소재지(도로명)전화번호품목위도경도
연번1.0001.0000.6691.0000.7690.2010.341
상호1.0001.0001.0001.0001.0001.0001.000
영업소소재지(도로명)0.6691.0001.0001.0000.6321.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.000
품목0.7691.0000.6321.0001.0000.7450.000
위도0.2011.0001.0001.0000.7451.0000.685
경도0.3411.0001.0001.0000.0000.6851.000
2024-03-18T13:26:52.776855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.0000.053-0.413
위도0.0531.000-0.290
경도-0.413-0.2901.000

Missing values

2024-03-18T13:26:49.812925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T13:26:49.936057image/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

연번상호영업소소재지(도로명)전화번호품목위도경도
01오렌지미디어인천광역시 미추홀구 주승로 264032-422-0250비디오물37.439867126.695359
12플러스 미디어인천광역시 미추홀구 경원대로 911-9032-433-0542비디오물37.463983126.689428
23엠에스이지티브이(MsEGTV) 모바일방송인천광역시 미추홀구 인주대로 348 (주안동)032-881-0450비디오물37.451422126.675113
34남인천방송(주)인천광역시 미추홀구 미추홀대로697번길 22032-230-1410방송컨텐츠37.45994126.678581
45(주)저스트 아이디어인천광역시 미추홀구 경인로 229032-245-7659비디오물37.464567126.667954
56(주)전자넷인천광역시 미추홀구 경인로 229032-205-4848비디오물37.464567126.667954
67(주)쇼유코리아인천광역시 미추홀구 석정로 480<NA>영상물제작37.465673126.688759
78주식회사 에듀파크인천광역시 미추홀구 인주대로 304<NA>교육용 동영상 및 광고등 영상 제작37.451742126.670196
89줌인 프로덕션인천광역시 미추홀구 도화동 677-71 2층<NA>비디오물37.469589126.650638
910(주)문명과사람인천광역시 미추홀구 석바위로 78070-7123-6380비디오물37.460857126.681519
연번상호영업소소재지(도로명)전화번호품목위도경도
3637(주)올유닉인천광역시 미추홀구 석바위로 56<NA>광고대행업,응용 소프트웨어 개발 및 공급업, 기타서비스업, 시각디자인업, 기타 교육지원 서비스업37.460609126.679295
3738언더비인천광역시 미추홀구 경인로 191-11<NA>영상 및 비디오물37.466028126.664085
3839주식회사 터칭스튜디오인천광역시 미추홀구 석정로 229<NA>홍보물영상제작편집,애니메이션제작편집,동영상제작편집37.468758126.660821
3940여가콘텐츠인천광역시 미추홀구 경원대로 717<NA>홍보영상, 광고37.447083126.685205
4041(주)경인방송인천광역시 미추홀구 아암대로287번길 7<NA>동영상 콘텐츠37.437646126.634599
4142둥지인천광역시 미추홀구 재넘이길61번길 31<NA>영상물 제작37.446609126.663712
4243스튜디오1080인천광역시 미추홀구 매소홀로 59<NA>비디오물37.450501126.632857
4344텀비(ThumBee)인천광역시 미추홀구 석정로302번길 23<NA>영상콘텐츠 제작37.466833126.669233
4445에스아이케이미디어인천광역시 미추홀구 주안로 108<NA>영상콘텐츠37.463661126.681733
4546032디자인 주식회사인천광역시 미추홀구 석정로76번길 28 (숭의동)<NA>비디오물37.466024126.647065