Overview

Dataset statistics

Number of variables7
Number of observations40
Missing cells14
Missing cells (%)5.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory61.3 B

Variable types

Text4
Categorical1
Numeric2

Dataset

Description인천광역시 미추홀구의 골프연습장업 현황에 관한 데이터로 상호명, 도로명주소, 지번주소, 전화번호 등의 정보를 제공하고 있습니다.
Author인천광역시 미추홀구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15100727&srcSe=7661IVAWM27C61E190

Alerts

구분 has constant value ""Constant
지번주소 has 1 (2.5%) missing valuesMissing
전화번호 has 13 (32.5%) missing valuesMissing
상호명 has unique valuesUnique

Reproduction

Analysis started2024-01-28 15:13:50.112610
Analysis finished2024-01-28 15:13:50.870051
Duration0.76 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상호명
Text

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2024-01-29T00:13:50.999128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length8.425
Min length2

Characters and Unicode

Total characters337
Distinct characters94
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)100.0%

Sample

1st row주안 인도어 골프연습장
2nd row용현골프연습장
3rd row에이스골프스쿨
4th row법원골프클럽
5th row스카이골프연습장
ValueCountFrequency (%)
골프 8
 
11.1%
골프존파크 3
 
4.2%
스크린 3
 
4.2%
골프연습장 2
 
2.8%
주안점 2
 
2.8%
주안 1
 
1.4%
골프존 1
 
1.4%
킹 1
 
1.4%
킹스크린 1
 
1.4%
한국골프아카데미 1
 
1.4%
Other values (49) 49
68.1%
2024-01-29T00:13:51.285424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
프 37
 
11.0%
골 36
 
10.7%
32
 
9.5%
스 25
 
7.4%
크 19
 
5.6%
린 16
 
4.7%
미 8
 
2.4%
장 7
 
2.1%
연 7
 
2.1%
카 6
 
1.8%
Other values (84) 144
42.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 282
83.7%
Space Separator 32
 
9.5%
Uppercase Letter 21
 
6.2%
Other Punctuation 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
프 37
 
13.1%
골 36
 
12.8%
스 25
 
8.9%
크 19
 
6.7%
린 16
 
5.7%
미 8
 
2.8%
장 7
 
2.5%
연 7
 
2.5%
카 6
 
2.1%
습 6
 
2.1%
Other values (69) 115
40.8%
Uppercase Letter
ValueCountFrequency (%)
G 4
19.0%
S 3
14.3%
J 2
9.5%
D 2
9.5%
B 2
9.5%
Q 1
 
4.8%
E 1
 
4.8%
O 1
 
4.8%
K 1
 
4.8%
A 1
 
4.8%
Other values (3) 3
14.3%
Space Separator
ValueCountFrequency (%)
32
100.0%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 282
83.7%
Common 34
 
10.1%
Latin 21
 
6.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
프 37
 
13.1%
골 36
 
12.8%
스 25
 
8.9%
크 19
 
6.7%
린 16
 
5.7%
미 8
 
2.8%
장 7
 
2.5%
연 7
 
2.5%
카 6
 
2.1%
습 6
 
2.1%
Other values (69) 115
40.8%
Latin
ValueCountFrequency (%)
G 4
19.0%
S 3
14.3%
J 2
9.5%
D 2
9.5%
B 2
9.5%
Q 1
 
4.8%
E 1
 
4.8%
O 1
 
4.8%
K 1
 
4.8%
A 1
 
4.8%
Other values (3) 3
14.3%
Common
ValueCountFrequency (%)
32
94.1%
& 2
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 282
83.7%
ASCII 55
 
16.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
프 37
 
13.1%
골 36
 
12.8%
스 25
 
8.9%
크 19
 
6.7%
린 16
 
5.7%
미 8
 
2.8%
장 7
 
2.5%
연 7
 
2.5%
카 6
 
2.1%
습 6
 
2.1%
Other values (69) 115
40.8%
ASCII
ValueCountFrequency (%)
32
58.2%
G 4
 
7.3%
S 3
 
5.5%
J 2
 
3.6%
D 2
 
3.6%
B 2
 
3.6%
& 2
 
3.6%
Q 1
 
1.8%
E 1
 
1.8%
O 1
 
1.8%
Other values (5) 5
 
9.1%

구분
Categorical

CONSTANT 

Distinct1
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
골프연습장업
40 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
골프연습장업 40
100.0%

Length

2024-01-29T00:13:51.382011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T00:13:51.457094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
골프연습장업 40
100.0%

도로명주소
Text

Distinct38
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2024-01-29T00:13:51.659953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length38
Mean length30.075
Min length24

Characters and Unicode

Total characters1203
Distinct characters104
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

Unique36 ?
Unique (%)90.0%

Sample

1st row인천광역시 미추홀구 경원대로 740, 7층 (주안동)
2nd row인천광역시 미추홀구 낙섬중로 114 (용현동)
3rd row인천광역시 미추홀구 주승로 223 (관교동, 삼환1차아파트)
4th row인천광역시 미추홀구 소성로185번길 16-20 (학익동)
5th row인천광역시 미추홀구 매소홀로 507, 스카이 빌딩 4층 (문학동)
ValueCountFrequency (%)
인천광역시 40
 
16.9%
미추홀구 40
 
16.9%
주안동 10
 
4.2%
학익동 10
 
4.2%
매소홀로 9
 
3.8%
도화동 8
 
3.4%
용현동 7
 
3.0%
2층 4
 
1.7%
경원대로 3
 
1.3%
경인로 3
 
1.3%
Other values (83) 103
43.5%
2024-01-29T00:13:52.004139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
201
 
16.7%
홀 52
 
4.3%
인 45
 
3.7%
미 42
 
3.5%
추 42
 
3.5%
로 40
 
3.3%
천 40
 
3.3%
) 40
 
3.3%
( 40
 
3.3%
동 40
 
3.3%
Other values (94) 621
51.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 721
59.9%
Space Separator 201
 
16.7%
Decimal Number 167
 
13.9%
Close Punctuation 40
 
3.3%
Open Punctuation 40
 
3.3%
Other Punctuation 27
 
2.2%
Uppercase Letter 3
 
0.2%
Dash Punctuation 2
 
0.2%
Lowercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
홀 52
 
7.2%
인 45
 
6.2%
미 42
 
5.8%
추 42
 
5.8%
로 40
 
5.5%
천 40
 
5.5%
동 40
 
5.5%
구 40
 
5.5%
시 40
 
5.5%
역 40
 
5.5%
Other values (75) 300
41.6%
Decimal Number
ValueCountFrequency (%)
1 34
20.4%
3 24
14.4%
2 22
13.2%
4 19
11.4%
0 15
9.0%
8 14
8.4%
6 12
 
7.2%
5 11
 
6.6%
7 9
 
5.4%
9 7
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
B 2
66.7%
T 1
33.3%
Lowercase Letter
ValueCountFrequency (%)
h 1
50.0%
e 1
50.0%
Space Separator
ValueCountFrequency (%)
201
100.0%
Close Punctuation
ValueCountFrequency (%)
) 40
100.0%
Open Punctuation
ValueCountFrequency (%)
( 40
100.0%
Other Punctuation
ValueCountFrequency (%)
, 27
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 721
59.9%
Common 477
39.7%
Latin 5
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
홀 52
 
7.2%
인 45
 
6.2%
미 42
 
5.8%
추 42
 
5.8%
로 40
 
5.5%
천 40
 
5.5%
동 40
 
5.5%
구 40
 
5.5%
시 40
 
5.5%
역 40
 
5.5%
Other values (75) 300
41.6%
Common
ValueCountFrequency (%)
201
42.1%
) 40
 
8.4%
( 40
 
8.4%
1 34
 
7.1%
, 27
 
5.7%
3 24
 
5.0%
2 22
 
4.6%
4 19
 
4.0%
0 15
 
3.1%
8 14
 
2.9%
Other values (5) 41
 
8.6%
Latin
ValueCountFrequency (%)
B 2
40.0%
T 1
20.0%
h 1
20.0%
e 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 721
59.9%
ASCII 482
40.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
201
41.7%
) 40
 
8.3%
( 40
 
8.3%
1 34
 
7.1%
, 27
 
5.6%
3 24
 
5.0%
2 22
 
4.6%
4 19
 
3.9%
0 15
 
3.1%
8 14
 
2.9%
Other values (9) 46
 
9.5%
Hangul
ValueCountFrequency (%)
홀 52
 
7.2%
인 45
 
6.2%
미 42
 
5.8%
추 42
 
5.8%
로 40
 
5.5%
천 40
 
5.5%
동 40
 
5.5%
구 40
 
5.5%
시 40
 
5.5%
역 40
 
5.5%
Other values (75) 300
41.6%

지번주소
Text

MISSING 

Distinct35
Distinct (%)89.7%
Missing1
Missing (%)2.5%
Memory size452.0 B
2024-01-29T00:13:52.188275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length28
Mean length22.333333
Min length15

Characters and Unicode

Total characters871
Distinct characters64
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)79.5%

Sample

1st row인천광역시 미추홀구 주안동 1572-19
2nd row인천광역시 미추홀구 용현동 557-41
3rd row인천광역시 미추홀구 관교동 13-6 삼환1차아파트
4th row인천광역시 미추홀구 학익동 244-40
5th row인천광역시 미추홀구 문학동 329-6 스카이 빌딩
ValueCountFrequency (%)
인천광역시 39
23.8%
미추홀구 39
23.8%
학익동 10
 
6.1%
주안동 10
 
6.1%
도화동 8
 
4.9%
용현동 7
 
4.3%
37-14 2
 
1.2%
209-3 2
 
1.2%
704-18 2
 
1.2%
627-106 2
 
1.2%
Other values (42) 43
26.2%
2024-01-29T00:13:52.504753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
164
18.8%
홀 40
 
4.6%
추 40
 
4.6%
미 40
 
4.6%
천 39
 
4.5%
동 39
 
4.5%
구 39
 
4.5%
인 39
 
4.5%
시 39
 
4.5%
역 39
 
4.5%
Other values (54) 353
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 510
58.6%
Space Separator 164
 
18.8%
Decimal Number 160
 
18.4%
Dash Punctuation 34
 
3.9%
Lowercase Letter 2
 
0.2%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
홀 40
 
7.8%
추 40
 
7.8%
미 40
 
7.8%
천 39
 
7.6%
동 39
 
7.6%
구 39
 
7.6%
인 39
 
7.6%
시 39
 
7.6%
역 39
 
7.6%
광 39
 
7.6%
Other values (39) 117
22.9%
Decimal Number
ValueCountFrequency (%)
1 32
20.0%
6 21
13.1%
2 19
11.9%
9 17
10.6%
4 14
8.8%
7 14
8.8%
3 13
8.1%
0 12
 
7.5%
5 10
 
6.2%
8 8
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
50.0%
h 1
50.0%
Space Separator
ValueCountFrequency (%)
164
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Uppercase Letter
ValueCountFrequency (%)
T 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 510
58.6%
Common 358
41.1%
Latin 3
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
홀 40
 
7.8%
추 40
 
7.8%
미 40
 
7.8%
천 39
 
7.6%
동 39
 
7.6%
구 39
 
7.6%
인 39
 
7.6%
시 39
 
7.6%
역 39
 
7.6%
광 39
 
7.6%
Other values (39) 117
22.9%
Common
ValueCountFrequency (%)
164
45.8%
- 34
 
9.5%
1 32
 
8.9%
6 21
 
5.9%
2 19
 
5.3%
9 17
 
4.7%
4 14
 
3.9%
7 14
 
3.9%
3 13
 
3.6%
0 12
 
3.4%
Other values (2) 18
 
5.0%
Latin
ValueCountFrequency (%)
e 1
33.3%
T 1
33.3%
h 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 510
58.6%
ASCII 361
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
164
45.4%
- 34
 
9.4%
1 32
 
8.9%
6 21
 
5.8%
2 19
 
5.3%
9 17
 
4.7%
4 14
 
3.9%
7 14
 
3.9%
3 13
 
3.6%
0 12
 
3.3%
Other values (5) 21
 
5.8%
Hangul
ValueCountFrequency (%)
홀 40
 
7.8%
추 40
 
7.8%
미 40
 
7.8%
천 39
 
7.6%
동 39
 
7.6%
구 39
 
7.6%
인 39
 
7.6%
시 39
 
7.6%
역 39
 
7.6%
광 39
 
7.6%
Other values (39) 117
22.9%

전화번호
Text

MISSING 

Distinct27
Distinct (%)100.0%
Missing13
Missing (%)32.5%
Memory size452.0 B
2024-01-29T00:13:52.673288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters324
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

Unique27 ?
Unique (%)100.0%

Sample

1st row032-431-4347
2nd row032-875-1600
3rd row032-441-1511
4th row032-426-1118
5th row032-874-0740
ValueCountFrequency (%)
032-431-4347 1
 
3.7%
032-773-0753 1
 
3.7%
032-888-0080 1
 
3.7%
032-872-0888 1
 
3.7%
032-891-8000 1
 
3.7%
032-434-0113 1
 
3.7%
032-885-0777 1
 
3.7%
032-866-1588 1
 
3.7%
032-873-3934 1
 
3.7%
032-442-4377 1
 
3.7%
Other values (17) 17
63.0%
2024-01-29T00:13:52.931106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 54
16.7%
0 49
15.1%
3 47
14.5%
2 42
13.0%
8 39
12.0%
7 25
7.7%
4 19
 
5.9%
1 18
 
5.6%
5 13
 
4.0%
6 9
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 270
83.3%
Dash Punctuation 54
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 49
18.1%
3 47
17.4%
2 42
15.6%
8 39
14.4%
7 25
9.3%
4 19
 
7.0%
1 18
 
6.7%
5 13
 
4.8%
6 9
 
3.3%
9 9
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 324
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 54
16.7%
0 49
15.1%
3 47
14.5%
2 42
13.0%
8 39
12.0%
7 25
7.7%
4 19
 
5.9%
1 18
 
5.6%
5 13
 
4.0%
6 9
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 324
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 54
16.7%
0 49
15.1%
3 47
14.5%
2 42
13.0%
8 39
12.0%
7 25
7.7%
4 19
 
5.9%
1 18
 
5.6%
5 13
 
4.0%
6 9
 
2.8%

위도
Real number (ℝ)

Distinct35
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.453566
Minimum37.436545
Maximum37.478572
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-01-29T00:13:53.039795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.436545
5-th percentile37.438967
Q137.441839
median37.451623
Q337.461358
95-th percentile37.472681
Maximum37.478572
Range0.0420265
Interquartile range (IQR)0.019519532

Descriptive statistics

Standard deviation0.012142496
Coefficient of variation (CV)0.00032420133
Kurtosis-1.0443797
Mean37.453566
Median Absolute Deviation (MAD)0.00991337
Skewness0.39484767
Sum1498.1426
Variance0.00014744021
MonotonicityNot monotonic
2024-01-29T00:13:53.132137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
37.45727103 2
 
5.0%
37.45119494 2
 
5.0%
37.4701339 2
 
5.0%
37.4414509 2
 
5.0%
37.4725422 2
 
5.0%
37.46425733 1
 
2.5%
37.4588359 1
 
2.5%
37.46472496 1
 
2.5%
37.44814624 1
 
2.5%
37.43897107 1
 
2.5%
Other values (25) 25
62.5%
ValueCountFrequency (%)
37.43654516 1
2.5%
37.43889382 1
2.5%
37.43897107 1
2.5%
37.43927001 1
2.5%
37.43967891 1
2.5%
37.43978679 1
2.5%
37.44014984 1
2.5%
37.44138991 1
2.5%
37.4414509 2
5.0%
37.44196817 1
2.5%
ValueCountFrequency (%)
37.47857166 1
2.5%
37.47531187 1
2.5%
37.4725422 2
5.0%
37.47025853 1
2.5%
37.4701339 2
5.0%
37.46549739 1
2.5%
37.46472496 1
2.5%
37.46425733 1
2.5%
37.46039207 1
2.5%
37.46012831 1
2.5%

경도
Real number (ℝ)

Distinct35
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.66664
Minimum126.63037
Maximum126.6961
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-01-29T00:13:53.226114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.63037
5-th percentile126.63217
Q1126.65989
median126.66725
Q3126.68224
95-th percentile126.69037
Maximum126.6961
Range0.065734
Interquartile range (IQR)0.0223516

Descriptive statistics

Standard deviation0.017956604
Coefficient of variation (CV)0.00014176269
Kurtosis-0.48507814
Mean126.66664
Median Absolute Deviation (MAD)0.0133662
Skewness-0.49408504
Sum5066.6654
Variance0.00032243961
MonotonicityNot monotonic
2024-01-29T00:13:53.345259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
126.6422124 2
 
5.0%
126.6303662 2
 
5.0%
126.66299 2
 
5.0%
126.6619763 2
 
5.0%
126.669499 2
 
5.0%
126.6822339 1
 
2.5%
126.6481512 1
 
2.5%
126.6654278 1
 
2.5%
126.6491202 1
 
2.5%
126.6736543 1
 
2.5%
Other values (25) 25
62.5%
ValueCountFrequency (%)
126.6303662 2
5.0%
126.6322635 1
2.5%
126.6336152 1
2.5%
126.6422124 2
5.0%
126.6481512 1
2.5%
126.6491202 1
2.5%
126.6502408 1
2.5%
126.6581056 1
2.5%
126.6604795 1
2.5%
126.6613456 1
2.5%
ValueCountFrequency (%)
126.6961002 1
2.5%
126.6908303 1
2.5%
126.6903431 1
2.5%
126.6898253 1
2.5%
126.6891379 1
2.5%
126.6864606 1
2.5%
126.6846596 1
2.5%
126.6835474 1
2.5%
126.6828613 1
2.5%
126.6822488 1
2.5%

Interactions

2024-01-29T00:13:50.522498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:13:50.401825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:13:50.589098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:13:50.458146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-29T00:13:53.421081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상호명도로명주소지번주소전화번호위도경도
상호명1.0001.0001.0001.0001.0001.000
도로명주소1.0001.0000.9901.0001.0001.000
지번주소1.0000.9901.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.000
위도1.0001.0001.0001.0001.0000.873
경도1.0001.0001.0001.0000.8731.000
2024-01-29T00:13:53.496142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.000-0.225
경도-0.2251.000

Missing values

2024-01-29T00:13:50.677401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-29T00:13:50.764645image/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.
2024-01-29T00:13:50.834860image/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

상호명구분도로명주소지번주소전화번호위도경도
0주안 인도어 골프연습장골프연습장업인천광역시 미추홀구 경원대로 740, 7층 (주안동)인천광역시 미추홀구 주안동 1572-19<NA>37.44853126.690343
1용현골프연습장골프연습장업인천광역시 미추홀구 낙섬중로 114 (용현동)인천광역시 미추홀구 용현동 557-41<NA>37.457271126.642212
2에이스골프스쿨골프연습장업인천광역시 미추홀구 주승로 223 (관교동, 삼환1차아파트)인천광역시 미추홀구 관교동 13-6 삼환1차아파트032-431-434737.443391126.6961
3법원골프클럽골프연습장업인천광역시 미추홀구 소성로185번길 16-20 (학익동)인천광역시 미추홀구 학익동 244-40032-875-160037.44139126.669658
4스카이골프연습장골프연습장업인천광역시 미추홀구 매소홀로 507, 스카이 빌딩 4층 (문학동)인천광역시 미추홀구 문학동 329-6 스카이 빌딩032-441-151137.439679126.678653
5삼우 골프골프연습장업인천광역시 미추홀구 경인로 391 (주안동)인천광역시 미추홀구 주안동 80-1032-426-111837.458567126.683547
6리더스골프클럽골프연습장업인천광역시 미추홀구 소성로 171 (학익동)인천광역시 미추홀구 학익동 251-5032-874-074037.441968126.66763
7C&K스크린골프골프연습장업인천광역시 미추홀구 매소홀로 482 (학익동)인천광역시 미추홀구 학익동 665-3032-875-929037.43927126.675512
8명랑스크린골프골프연습장업인천광역시 미추홀구 매소홀로 388 (학익동)인천광역시 미추홀구 학익동 684-1032-876-378537.439787126.665096
9SG골프 BOS골프연습장업인천광역시 미추홀구 미추홀대로 510 (주안동)인천광역시 미추홀구 주안동 1298032-423-611137.442805126.678999
상호명구분도로명주소지번주소전화번호위도경도
30미래 골프 연습장골프연습장업인천광역시 미추홀구 염전로 264, 2층 (도화동)인천광역시 미추홀구 도화동 704-18<NA>37.472542126.669499
31더 힐스토리골프연습장업인천광역시 미추홀구 매소홀로 618, 문학경기장 2층 (문학동)인천광역시 미추홀구 문학동 482 문학경기장<NA>37.436545126.686461
32SG스크린골프골프연습장업인천광역시 미추홀구 인하로 381, 스카이타운 B01호층 (주안동)인천광역시 미추홀구 주안동 1571 스카이타운<NA>37.448483126.69083
33헬로우짐 주안점골프연습장업인천광역시 미추홀구 경원대로 869, 르네상스빌딩 19층 (주안동)인천광역시 미추홀구 주안동 989-1 르네상스빌딩<NA>37.460392126.689138
34스윙스 골프골프연습장업인천광역시 미추홀구 숙골로95번길 21, 영프라자 2, 3층 (도화동)인천광역시 미추홀구 도화동 997-3<NA>37.470259126.660479
35골프존파크 숭의미추홀 QED점골프연습장업인천광역시 미추홀구 경인로 67, 지1층 (숭의동, The 미추홀퍼스트)인천광역시 미추홀구 숭의동 121-7 The 미추홀퍼스트032-891-800037.465497126.650241
36위너 스크린 골프장골프연습장업인천광역시 미추홀구 송림로 255, 4층 (도화동)인천광역시 미추홀구 도화동 992-4032-872-088837.475312126.661346
37골프존파크 미추홀인원점골프연습장업인천광역시 미추홀구 매소홀로 36, 1층 (용현동)인천광역시 미추홀구 용현동 627-106032-888-008037.451195126.630366
38밥스 골프아카데미 주안점골프연습장업인천광역시 미추홀구 경인로 402, B1층 (주안동)인천광역시 미추홀구 주안동 409-1032-422-206337.457904126.68466
39GB프렌즈 골프골프연습장업인천광역시 미추홀구 주승로 110, 지하1층 01호 (주안동)인천광역시 미추홀구 주안동 1216-17<NA>37.444818126.682861