Overview

Dataset statistics

Number of variables7
Number of observations35
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory62.8 B

Variable types

Text4
Numeric3

Dataset

Description체육종목별 장애인 체육회 현황
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=L51MSE37WIRCS4W3BCAT28757472&infSeq=1

Alerts

우편번호 is highly overall correlated with WGS84위도High correlation
WGS84위도 is highly overall correlated with 우편번호High correlation
종목명 has unique valuesUnique

Reproduction

Analysis started2024-04-29 13:22:48.644081
Analysis finished2024-04-29 13:22:51.629803
Duration2.99 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

종목명
Text

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
2024-04-29T22:22:51.764119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length10.571429
Min length10

Characters and Unicode

Total characters370
Distinct characters68
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
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 row경기도장애인골볼협회
2nd row경기도장애인골프협회
3rd row경기도장애인농구협회
4th row경기도장애인당구협회
5th row경기도장애인댄스스포츠연맹
ValueCountFrequency (%)
경기도장애인골볼협회 1
 
2.9%
경기도장애인태권도협회 1
 
2.9%
경기도농아인체육연맹 1
 
2.9%
경기도장애인e-스포츠연맹 1
 
2.9%
경기도장애인빙상연맹 1
 
2.9%
경기도장애인스키협회 1
 
2.9%
경기도장애인양궁협회 1
 
2.9%
경기도장애인역도연맹 1
 
2.9%
경기도장애인펜싱협회 1
 
2.9%
경기도장애인요트연맹 1
 
2.9%
Other values (25) 25
71.4%
2024-04-29T22:22:52.085917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
도 38
10.3%
경 35
 
9.5%
기 35
 
9.5%
인 34
 
9.2%
장 33
 
8.9%
애 33
 
8.9%
협 19
 
5.1%
회 19
 
5.1%
연 16
 
4.3%
맹 16
 
4.3%
Other values (58) 92
24.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 368
99.5%
Dash Punctuation 1
 
0.3%
Lowercase Letter 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 38
10.3%
경 35
 
9.5%
기 35
 
9.5%
인 34
 
9.2%
장 33
 
9.0%
애 33
 
9.0%
협 19
 
5.2%
회 19
 
5.2%
연 16
 
4.3%
맹 16
 
4.3%
Other values (56) 90
24.5%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 368
99.5%
Common 1
 
0.3%
Latin 1
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 38
10.3%
경 35
 
9.5%
기 35
 
9.5%
인 34
 
9.2%
장 33
 
9.0%
애 33
 
9.0%
협 19
 
5.2%
회 19
 
5.2%
연 16
 
4.3%
맹 16
 
4.3%
Other values (56) 90
24.5%
Common
ValueCountFrequency (%)
- 1
100.0%
Latin
ValueCountFrequency (%)
e 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 368
99.5%
ASCII 2
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
도 38
10.3%
경 35
 
9.5%
기 35
 
9.5%
인 34
 
9.2%
장 33
 
9.0%
애 33
 
9.0%
협 19
 
5.2%
회 19
 
5.2%
연 16
 
4.3%
맹 16
 
4.3%
Other values (56) 90
24.5%
ASCII
ValueCountFrequency (%)
- 1
50.0%
e 1
50.0%

전화번호
Text

Distinct26
Distinct (%)74.3%
Missing0
Missing (%)0.0%
Memory size412.0 B
2024-04-29T22:22:52.268888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.428571
Min length12

Characters and Unicode

Total characters435
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

Unique25 ?
Unique (%)71.4%

Sample

1st row031-213-5045
2nd row070-8818-2570
3rd row000-0000-0000
4th row031-852-9773
5th row031-838-9040
ValueCountFrequency (%)
000-0000-0000 10
28.6%
031-213-5045 1
 
2.9%
031-252-4489 1
 
2.9%
031-247-7721 1
 
2.9%
031-723-9906 1
 
2.9%
031-213-7722 1
 
2.9%
031-241-2018 1
 
2.9%
070-7799-0012 1
 
2.9%
070-8624-6864 1
 
2.9%
0505-810-0069 1
 
2.9%
Other values (16) 16
45.7%
2024-04-29T22:22:52.578714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 157
36.1%
- 70
16.1%
1 35
 
8.0%
3 32
 
7.4%
2 32
 
7.4%
7 21
 
4.8%
5 19
 
4.4%
4 19
 
4.4%
8 19
 
4.4%
9 17
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 365
83.9%
Dash Punctuation 70
 
16.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 157
43.0%
1 35
 
9.6%
3 32
 
8.8%
2 32
 
8.8%
7 21
 
5.8%
5 19
 
5.2%
4 19
 
5.2%
8 19
 
5.2%
9 17
 
4.7%
6 14
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 70
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 435
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 157
36.1%
- 70
16.1%
1 35
 
8.0%
3 32
 
7.4%
2 32
 
7.4%
7 21
 
4.8%
5 19
 
4.4%
4 19
 
4.4%
8 19
 
4.4%
9 17
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 435
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 157
36.1%
- 70
16.1%
1 35
 
8.0%
3 32
 
7.4%
2 32
 
7.4%
7 21
 
4.8%
5 19
 
4.4%
4 19
 
4.4%
8 19
 
4.4%
9 17
 
3.9%

도로명주소
Text

Distinct30
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
2024-04-29T22:22:52.838802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length19.057143
Min length13

Characters and Unicode

Total characters667
Distinct characters86
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

Unique27 ?
Unique (%)77.1%

Sample

1st row경기도 수원시 팔달구 팔달문로 135
2nd row경기도 부천시 오정구 여월로 65
3rd row경기도 성남시 분당구 성남대로916번길 5
4th row경기도 의정부시 오목로 252
5th row경기도 의정부시 태평로 86
ValueCountFrequency (%)
경기도 35
21.1%
수원시 16
 
9.6%
장안구 8
 
4.8%
의정부시 5
 
3.0%
팔달구 5
 
3.0%
장안로 4
 
2.4%
134 4
 
2.4%
부천시 3
 
1.8%
권선구 3
 
1.8%
139 2
 
1.2%
Other values (72) 81
48.8%
2024-04-29T22:22:53.216574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
131
19.6%
시 36
 
5.4%
경 35
 
5.2%
도 35
 
5.2%
기 35
 
5.2%
로 34
 
5.1%
구 26
 
3.9%
원 24
 
3.6%
안 18
 
2.7%
1 18
 
2.7%
Other values (76) 275
41.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 428
64.2%
Space Separator 131
 
19.6%
Decimal Number 105
 
15.7%
Dash Punctuation 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 36
 
8.4%
경 35
 
8.2%
도 35
 
8.2%
기 35
 
8.2%
로 34
 
7.9%
구 26
 
6.1%
원 24
 
5.6%
안 18
 
4.2%
수 17
 
4.0%
장 12
 
2.8%
Other values (64) 156
36.4%
Decimal Number
ValueCountFrequency (%)
1 18
17.1%
3 14
13.3%
2 14
13.3%
4 10
9.5%
6 10
9.5%
5 9
8.6%
9 9
8.6%
8 8
7.6%
7 7
 
6.7%
0 6
 
5.7%
Space Separator
ValueCountFrequency (%)
131
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 428
64.2%
Common 239
35.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 36
 
8.4%
경 35
 
8.2%
도 35
 
8.2%
기 35
 
8.2%
로 34
 
7.9%
구 26
 
6.1%
원 24
 
5.6%
안 18
 
4.2%
수 17
 
4.0%
장 12
 
2.8%
Other values (64) 156
36.4%
Common
ValueCountFrequency (%)
131
54.8%
1 18
 
7.5%
3 14
 
5.9%
2 14
 
5.9%
4 10
 
4.2%
6 10
 
4.2%
5 9
 
3.8%
9 9
 
3.8%
8 8
 
3.3%
7 7
 
2.9%
Other values (2) 9
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 428
64.2%
ASCII 239
35.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
131
54.8%
1 18
 
7.5%
3 14
 
5.9%
2 14
 
5.9%
4 10
 
4.2%
6 10
 
4.2%
5 9
 
3.8%
9 9
 
3.8%
8 8
 
3.3%
7 7
 
2.9%
Other values (2) 9
 
3.8%
Hangul
ValueCountFrequency (%)
시 36
 
8.4%
경 35
 
8.2%
도 35
 
8.2%
기 35
 
8.2%
로 34
 
7.9%
구 26
 
6.1%
원 24
 
5.6%
안 18
 
4.2%
수 17
 
4.0%
장 12
 
2.8%
Other values (64) 156
36.4%

지번주소
Text

Distinct33
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Memory size412.0 B
2024-04-29T22:22:53.482664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length38
Mean length31.142857
Min length20

Characters and Unicode

Total characters1090
Distinct characters151
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

Unique32 ?
Unique (%)91.4%

Sample

1st row경기도 수원시 팔달구 우만동 527-34번지 2층
2nd row경기도 부천시 오정구 여월동 320번지 여월휴먼시아 201동 204호
3rd row경기도 성남시 분당구 야탑동 366-1번지 관보빌딩 711호 내 비지센터 3호실
4th row경기도 의정부시 낙양동 710번지 엘에이치휴스토리 204동 402호
5th row경기도 의정부시 의정부동 121-6번지 삼화빌딩 4층
ValueCountFrequency (%)
경기도 35
 
15.4%
수원시 16
 
7.0%
장안구 8
 
3.5%
2층 7
 
3.1%
의정부시 5
 
2.2%
팔달구 5
 
2.2%
정자동 4
 
1.8%
27-10번지 4
 
1.8%
권선구 3
 
1.3%
우만동 3
 
1.3%
Other values (120) 138
60.5%
2024-04-29T22:22:53.866599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
193
 
17.7%
1 54
 
5.0%
동 46
 
4.2%
시 40
 
3.7%
지 38
 
3.5%
경 37
 
3.4%
기 37
 
3.4%
도 36
 
3.3%
번 35
 
3.2%
2 29
 
2.7%
Other values (141) 545
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 667
61.2%
Decimal Number 202
 
18.5%
Space Separator 193
 
17.7%
Dash Punctuation 23
 
2.1%
Uppercase Letter 3
 
0.3%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 46
 
6.9%
시 40
 
6.0%
지 38
 
5.7%
경 37
 
5.5%
기 37
 
5.5%
도 36
 
5.4%
번 35
 
5.2%
구 27
 
4.0%
원 21
 
3.1%
수 18
 
2.7%
Other values (125) 332
49.8%
Decimal Number
ValueCountFrequency (%)
1 54
26.7%
2 29
14.4%
0 28
13.9%
3 21
 
10.4%
7 20
 
9.9%
4 18
 
8.9%
6 12
 
5.9%
5 11
 
5.4%
8 5
 
2.5%
9 4
 
2.0%
Uppercase Letter
ValueCountFrequency (%)
A 2
66.7%
N 1
33.3%
Space Separator
ValueCountFrequency (%)
193
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 667
61.2%
Common 420
38.5%
Latin 3
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 46
 
6.9%
시 40
 
6.0%
지 38
 
5.7%
경 37
 
5.5%
기 37
 
5.5%
도 36
 
5.4%
번 35
 
5.2%
구 27
 
4.0%
원 21
 
3.1%
수 18
 
2.7%
Other values (125) 332
49.8%
Common
ValueCountFrequency (%)
193
46.0%
1 54
 
12.9%
2 29
 
6.9%
0 28
 
6.7%
- 23
 
5.5%
3 21
 
5.0%
7 20
 
4.8%
4 18
 
4.3%
6 12
 
2.9%
5 11
 
2.6%
Other values (4) 11
 
2.6%
Latin
ValueCountFrequency (%)
A 2
66.7%
N 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 667
61.2%
ASCII 423
38.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
193
45.6%
1 54
 
12.8%
2 29
 
6.9%
0 28
 
6.6%
- 23
 
5.4%
3 21
 
5.0%
7 20
 
4.7%
4 18
 
4.3%
6 12
 
2.8%
5 11
 
2.6%
Other values (6) 14
 
3.3%
Hangul
ValueCountFrequency (%)
동 46
 
6.9%
시 40
 
6.0%
지 38
 
5.7%
경 37
 
5.5%
기 37
 
5.5%
도 36
 
5.4%
번 35
 
5.2%
구 27
 
4.0%
원 21
 
3.1%
수 18
 
2.7%
Other values (125) 332
49.8%

우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct30
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15134.514
Minimum10239
Maximum17735
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-04-29T22:22:53.998562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10239
5-th percentile11606
Q114260
median16239
Q316368
95-th percentile17124.7
Maximum17735
Range7496
Interquartile range (IQR)2108

Descriptive statistics

Standard deviation1980.727
Coefficient of variation (CV)0.13087483
Kurtosis-0.01417898
Mean15134.514
Median Absolute Deviation (MAD)587
Skewness-1.0467546
Sum529708
Variance3923279.3
MonotonicityNot monotonic
2024-04-29T22:22:54.145630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
16312 4
 
11.4%
16239 2
 
5.7%
11606 2
 
5.7%
11813 1
 
2.9%
11694 1
 
2.9%
16053 1
 
2.9%
16307 1
 
2.9%
13363 1
 
2.9%
16214 1
 
2.9%
16870 1
 
2.9%
Other values (20) 20
57.1%
ValueCountFrequency (%)
10239 1
2.9%
11606 2
5.7%
11694 1
2.9%
11760 1
2.9%
11813 1
2.9%
13363 1
2.9%
13506 1
2.9%
14046 1
2.9%
14474 1
2.9%
14548 1
2.9%
ValueCountFrequency (%)
17735 1
 
2.9%
17719 1
 
2.9%
16870 1
 
2.9%
16610 1
 
2.9%
16571 1
 
2.9%
16556 1
 
2.9%
16494 1
 
2.9%
16439 1
 
2.9%
16424 1
 
2.9%
16312 4
11.4%

WGS84위도
Real number (ℝ)

HIGH CORRELATION 

Distinct30
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.384471
Minimum37.059382
Maximum37.757924
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-04-29T22:22:54.277214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.059382
5-th percentile37.16034
Q137.282555
median37.297763
Q337.466998
95-th percentile37.755311
Maximum37.757924
Range0.69854197
Interquartile range (IQR)0.18444363

Descriptive statistics

Standard deviation0.19006951
Coefficient of variation (CV)0.0050841834
Kurtosis0.066715387
Mean37.384471
Median Absolute Deviation (MAD)0.044057409
Skewness0.9098607
Sum1308.4565
Variance0.036126418
MonotonicityNot monotonic
2024-04-29T22:22:54.385834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
37.2956867021 4
 
11.4%
37.2825548076 2
 
5.7%
37.7579240735 2
 
5.7%
37.7492505418 1
 
2.9%
37.7401025573 1
 
2.9%
37.3581192596 1
 
2.9%
37.2977626823 1
 
2.9%
37.4331456053 1
 
2.9%
37.29823499 1
 
2.9%
37.3281434532 1
 
2.9%
Other values (20) 20
57.1%
ValueCountFrequency (%)
37.0593820995 1
2.9%
37.0852726785 1
2.9%
37.1925115254 1
2.9%
37.253705273 1
2.9%
37.2615437108 1
2.9%
37.265843195 1
2.9%
37.2776097276 1
2.9%
37.2809976348 1
2.9%
37.2825548076 2
5.7%
37.2847742948 1
2.9%
ValueCountFrequency (%)
37.7579240735 2
5.7%
37.7541917057 1
2.9%
37.7492505418 1
2.9%
37.7401025573 1
2.9%
37.7032295518 1
2.9%
37.5119582182 1
2.9%
37.5009878231 1
2.9%
37.5008512692 1
2.9%
37.4331456053 1
2.9%
37.4115428144 1
2.9%

WGS84경도
Real number (ℝ)

Distinct30
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.97785
Minimum126.64613
Maximum127.13759
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-04-29T22:22:54.515764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.64613
5-th percentile126.7482
Q1126.97214
median127.01086
Q3127.03393
95-th percentile127.11347
Maximum127.13759
Range0.49146282
Interquartile range (IQR)0.061790887

Descriptive statistics

Standard deviation0.12038276
Coefficient of variation (CV)0.00094806116
Kurtosis0.97118152
Mean126.97785
Median Absolute Deviation (MAD)0.033815159
Skewness-1.2990199
Sum4444.2246
Variance0.01449201
MonotonicityNot monotonic
2024-04-29T22:22:54.655192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
126.9996313485 4
 
11.4%
127.0307742018 2
 
5.7%
127.0316022932 2
 
5.7%
127.1019438743 1
 
2.9%
127.0518492237 1
 
2.9%
126.9672268406 1
 
2.9%
127.0067371788 1
 
2.9%
127.1375904923 1
 
2.9%
127.0297628834 1
 
2.9%
127.1064337056 1
 
2.9%
Other values (20) 20
57.1%
ValueCountFrequency (%)
126.6461276758 1
2.9%
126.7100016113 1
2.9%
126.7645652387 1
2.9%
126.7731605449 1
2.9%
126.7982775858 1
2.9%
126.8047702969 1
2.9%
126.8307369519 1
2.9%
126.9504107855 1
2.9%
126.9672268406 1
2.9%
126.9770468273 1
2.9%
ValueCountFrequency (%)
127.1375904923 1
2.9%
127.129874916 1
2.9%
127.1064337056 1
2.9%
127.1019438743 1
2.9%
127.0711818874 1
2.9%
127.0657713067 1
2.9%
127.0594154985 1
2.9%
127.0518492237 1
2.9%
127.0362531482 1
2.9%
127.0316022932 2
5.7%

Interactions

2024-04-29T22:22:51.124769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T22:22:50.485967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T22:22:50.819493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T22:22:51.215368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T22:22:50.642261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T22:22:50.912509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T22:22:51.323606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T22:22:50.736000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T22:22:51.015141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-29T22:22:54.742125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종목명전화번호도로명주소지번주소우편번호WGS84위도WGS84경도
종목명1.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0000.9511.0000.9160.0000.238
도로명주소1.0000.9511.0001.0001.0001.0001.000
지번주소1.0001.0001.0001.0001.0001.0001.000
우편번호1.0000.9161.0001.0001.0000.9720.894
WGS84위도1.0000.0001.0001.0000.9721.0000.935
WGS84경도1.0000.2381.0001.0000.8940.9351.000
2024-04-29T22:22:54.854111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
우편번호WGS84위도WGS84경도
우편번호1.000-0.8650.086
WGS84위도-0.8651.0000.018
WGS84경도0.0860.0181.000

Missing values

2024-04-29T22:22:51.434570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-29T22:22:51.549682image/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

종목명전화번호도로명주소지번주소우편번호WGS84위도WGS84경도
0경기도장애인골볼협회031-213-5045경기도 수원시 팔달구 팔달문로 135경기도 수원시 팔달구 우만동 527-34번지 2층1623937.282555127.030774
1경기도장애인골프협회070-8818-2570경기도 부천시 오정구 여월로 65경기도 부천시 오정구 여월동 320번지 여월휴먼시아 201동 204호1447437.511958126.80477
2경기도장애인농구협회000-0000-0000경기도 성남시 분당구 성남대로916번길 5경기도 성남시 분당구 야탑동 366-1번지 관보빌딩 711호 내 비지센터 3호실1350637.411543127.129875
3경기도장애인당구협회031-852-9773경기도 의정부시 오목로 252경기도 의정부시 낙양동 710번지 엘에이치휴스토리 204동 402호1181337.749251127.101944
4경기도장애인댄스스포츠연맹031-838-9040경기도 의정부시 태평로 86경기도 의정부시 의정부동 121-6번지 삼화빌딩 4층1169437.740103127.051849
5경기도장애인럭비협회031-929-1522경기도 고양시 일산서구 탄현로 139경기도 고양시 일산서구 탄현동 111-1번지1023937.70323126.764565
6경기도장애인론볼연맹070-8292-9899경기도 시흥시 서해안로 277경기도 시흥시 정왕동 2138번지 시흥시론볼경기장1501337.35221126.710002
7경기도장애인보치아연맹031-487-9844경기도 안산시 단원구 광덕대로 154경기도 안산시 단원구 고잔동 771-3번지 로데오타운 A동 419호1547037.310176126.830737
8경기도장애인배구협회000-0000-0000경기도 수원시 장안구 장안로 134경기도 수원시 장안구 정자동 27-10번지 2층 가맹단체사무실1631237.295687126.999631
9경기도장애인배드민턴협회031-273-8687경기도 수원시 권선구 효원로 268경기도 수원시 권선구 권선동 1014번지 현대해상 6층1657137.261544127.030871
종목명전화번호도로명주소지번주소우편번호WGS84위도WGS84경도
25경기도장애인역도연맹0505-810-0069경기도 평택시 오리곡길 58경기도 평택시 독곡동 131번지 1층1771937.085273127.071182
26경기도장애인요트연맹000-0000-0000경기도 안산시 단원구 대부황금로 7경기도 안산시 단원구 선감동 717번지1565237.192512126.646128
27경기도장애인조정연맹070-8624-6864경기도 부천시 원미구 소향로 227경기도 부천시 원미구 중동 1144-3번지 디아트갤러리 A동 2층 206호1454837.500988126.773161
28경기도장애인탁구협회000-0000-0000경기도 부천시 원미구 소사로 482경기도 부천시 원미구 춘의동 8번지 부천종합운동장 장애인탁구장1465537.500851126.798278
29경기도장애인테니스협회070-7799-0012경기도 용인시 수지구 포은대로 499경기도 용인시 수지구 죽전동 1003-43번지 수지레스피아(테니스장)1687037.328143127.106434
30경기도장애인축구협회031-241-2018경기도 수원시 장안구 창훈로60번길 21경기도 수원시 장안구 연무동 11-16번지 2층1621437.298235127.029763
31경기도장애인시각스포츠연맹031-213-7722경기도 수원시 팔달구 팔달문로 135경기도 수원시 팔달구 우만동 527-34번지 1층1623937.282555127.030774
32경기도장애인게이트볼연맹031-723-9906경기도 성남시 중원구 제일로 60경기도 성남시 중원구 성남동 3110번지 종합운동장 하키장 25호1336337.433146127.13759
33경기도지체스포츠연맹031-247-7721경기도 수원시 장안구 송원로24번길 17경기도 수원시 장안구 송죽동 380-10번지1630737.297763127.006737
34경기도장애인슐런협회031-455-4240경기도 의왕시 원골로 6경기도 의왕시 오전동 839-4번지 3층1605337.358119126.967227