Overview

Dataset statistics

Number of variables8
Number of observations69
Missing cells24
Missing cells (%)4.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.6 KiB
Average record size in memory68.9 B

Variable types

Text4
Categorical1
Numeric3

Alerts

우편번호 is highly overall correlated with WGS84위도 and 1 other fieldsHigh correlation
WGS84위도 is highly overall correlated with 우편번호 and 1 other fieldsHigh correlation
WGS84경도 is highly overall correlated with 도로명주소High correlation
도로명주소 is highly overall correlated with 우편번호 and 2 other fieldsHigh correlation
우편번호 has 2 (2.9%) missing valuesMissing
전화번호 has 9 (13.0%) missing valuesMissing
팩스번호 has 5 (7.2%) missing valuesMissing
WGS84위도 has 4 (5.8%) missing valuesMissing
WGS84경도 has 4 (5.8%) missing valuesMissing
종목명 has unique valuesUnique

Reproduction

Analysis started2024-03-12 23:36:34.685682
Analysis finished2024-03-12 23:36:35.961074
Duration1.28 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

종목명
Text

UNIQUE 

Distinct69
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size684.0 B
2024-03-13T08:36:36.119948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length5.2318841
Min length3

Characters and Unicode

Total characters361
Distinct characters136
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique69 ?
Unique (%)100.0%

Sample

1st rowe스포츠협회
2nd row가라테연맹
3rd row검도회
4th row게이트볼협회
5th row골프협회
ValueCountFrequency (%)
e스포츠협회 1
 
1.4%
씨름협회 1
 
1.4%
주짓수회 1
 
1.4%
족구협회 1
 
1.4%
조정협회 1
 
1.4%
자전거연맹 1
 
1.4%
육상연맹 1
 
1.4%
유도회 1
 
1.4%
요트협회 1
 
1.4%
우슈협회 1
 
1.4%
Other values (59) 59
85.5%
2024-03-13T08:36:36.453708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
회 50
 
13.9%
협 44
 
12.2%
연 19
 
5.3%
맹 19
 
5.3%
스 13
 
3.6%
기 7
 
1.9%
구 7
 
1.9%
도 6
 
1.7%
이 6
 
1.7%
수 5
 
1.4%
Other values (126) 185
51.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 357
98.9%
Decimal Number 2
 
0.6%
Lowercase Letter 1
 
0.3%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 50
 
14.0%
협 44
 
12.3%
연 19
 
5.3%
맹 19
 
5.3%
스 13
 
3.6%
기 7
 
2.0%
구 7
 
2.0%
도 6
 
1.7%
이 6
 
1.7%
수 5
 
1.4%
Other values (122) 181
50.7%
Decimal Number
ValueCountFrequency (%)
3 1
50.0%
5 1
50.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%
Other Punctuation
ValueCountFrequency (%)
· 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 357
98.9%
Common 3
 
0.8%
Latin 1
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 50
 
14.0%
협 44
 
12.3%
연 19
 
5.3%
맹 19
 
5.3%
스 13
 
3.6%
기 7
 
2.0%
구 7
 
2.0%
도 6
 
1.7%
이 6
 
1.7%
수 5
 
1.4%
Other values (122) 181
50.7%
Common
ValueCountFrequency (%)
3 1
33.3%
5 1
33.3%
· 1
33.3%
Latin
ValueCountFrequency (%)
e 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 357
98.9%
ASCII 3
 
0.8%
None 1
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
회 50
 
14.0%
협 44
 
12.3%
연 19
 
5.3%
맹 19
 
5.3%
스 13
 
3.6%
기 7
 
2.0%
구 7
 
2.0%
도 6
 
1.7%
이 6
 
1.7%
수 5
 
1.4%
Other values (122) 181
50.7%
ASCII
ValueCountFrequency (%)
e 1
33.3%
3 1
33.3%
5 1
33.3%
None
ValueCountFrequency (%)
· 1
100.0%

도로명주소
Categorical

HIGH CORRELATION 

Distinct25
Distinct (%)36.2%
Missing0
Missing (%)0.0%
Memory size684.0 B
경기도 수원시 장안구 장안로 134
40 
<NA>
5 
경기도 부천시 원종로 21
 
2
경기도 양주시 옥정로 222
 
1
경기도 화성시 팔탄면 건달산로 18-5
 
1
Other values (20)
20 

Length

Max length25
Median length19
Mean length17.884058
Min length4

Unique

Unique22 ?
Unique (%)31.9%

Sample

1st row경기도 수원시 장안구 장안로 134
2nd row<NA>
3rd row경기도 수원시 장안구 장안로 134
4th row경기도 수원시 권선구 여기산로26번길 30
5th row경기도 수원시 장안구 장안로 134

Common Values

ValueCountFrequency (%)
경기도 수원시 장안구 장안로 134 40
58.0%
<NA> 5
 
7.2%
경기도 부천시 원종로 21 2
 
2.9%
경기도 양주시 옥정로 222 1
 
1.4%
경기도 화성시 팔탄면 건달산로 18-5 1
 
1.4%
경기도 포천시 영북면 영북로 136 1
 
1.4%
경기도 의정부시 녹양로62번길 12 1
 
1.4%
경기도 수원시 팔달구 권광로 324 1
 
1.4%
경기도 가평군 청평면 경춘로 540 1
 
1.4%
경기도 평택시 평택4로 97 1
 
1.4%
Other values (15) 15
 
21.7%

Length

2024-03-13T08:36:36.565356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 64
20.3%
수원시 49
15.5%
장안구 41
13.0%
장안로 40
12.7%
134 40
12.7%
na 5
 
1.6%
팔달구 4
 
1.3%
화성시 3
 
0.9%
21 3
 
0.9%
의정부시 3
 
0.9%
Other values (60) 64
20.3%

지번주소
Text

Distinct67
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size684.0 B
2024-03-13T08:36:36.831331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length36
Mean length32.956522
Min length17

Characters and Unicode

Total characters2274
Distinct characters126
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

Unique66 ?
Unique (%)95.7%

Sample

1st row경기도 수원시 장안구 정자동 27-10번지 경기도체육회관 5층 514호
2nd row경기도 수원시 장안구 정자로134 경기도체육회관 511호
3rd row경기도 수원시 장안구 정자동 27-10번지 경기도체육회관 804호
4th row경기도 수원시 권선구 서둔동 256번지 여기산공원내
5th row경기도 수원시 장안구 정자동 27-10번지 경기도체육회관 807호
ValueCountFrequency (%)
경기도 69
15.2%
수원시 52
 
11.4%
장안구 45
 
9.9%
경기도체육회관 43
 
9.5%
정자동 41
 
9.0%
27-10번지 40
 
8.8%
팔달구 4
 
0.9%
의정부시 4
 
0.9%
화성시 3
 
0.7%
913호 3
 
0.7%
Other values (135) 151
33.2%
2024-03-13T08:36:37.194531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
386
 
17.0%
기 114
 
5.0%
도 113
 
5.0%
경 112
 
4.9%
1 95
 
4.2%
0 81
 
3.6%
시 69
 
3.0%
지 65
 
2.9%
2 65
 
2.9%
동 63
 
2.8%
Other values (116) 1111
48.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1376
60.5%
Decimal Number 448
 
19.7%
Space Separator 386
 
17.0%
Dash Punctuation 61
 
2.7%
Other Punctuation 2
 
0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 114
 
8.3%
도 113
 
8.2%
경 112
 
8.1%
시 69
 
5.0%
지 65
 
4.7%
동 63
 
4.6%
번 63
 
4.6%
원 57
 
4.1%
구 56
 
4.1%
호 54
 
3.9%
Other values (102) 610
44.3%
Decimal Number
ValueCountFrequency (%)
1 95
21.2%
0 81
18.1%
2 65
14.5%
7 50
11.2%
5 33
 
7.4%
8 32
 
7.1%
9 25
 
5.6%
3 24
 
5.4%
4 24
 
5.4%
6 19
 
4.2%
Space Separator
ValueCountFrequency (%)
386
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 61
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
N 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1376
60.5%
Common 897
39.4%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 114
 
8.3%
도 113
 
8.2%
경 112
 
8.1%
시 69
 
5.0%
지 65
 
4.7%
동 63
 
4.6%
번 63
 
4.6%
원 57
 
4.1%
구 56
 
4.1%
호 54
 
3.9%
Other values (102) 610
44.3%
Common
ValueCountFrequency (%)
386
43.0%
1 95
 
10.6%
0 81
 
9.0%
2 65
 
7.2%
- 61
 
6.8%
7 50
 
5.6%
5 33
 
3.7%
8 32
 
3.6%
9 25
 
2.8%
3 24
 
2.7%
Other values (3) 45
 
5.0%
Latin
ValueCountFrequency (%)
N 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1376
60.5%
ASCII 898
39.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
386
43.0%
1 95
 
10.6%
0 81
 
9.0%
2 65
 
7.2%
- 61
 
6.8%
7 50
 
5.6%
5 33
 
3.7%
8 32
 
3.6%
9 25
 
2.8%
3 24
 
2.7%
Other values (4) 46
 
5.1%
Hangul
ValueCountFrequency (%)
기 114
 
8.3%
도 113
 
8.2%
경 112
 
8.1%
시 69
 
5.0%
지 65
 
4.7%
동 63
 
4.6%
번 63
 
4.6%
원 57
 
4.1%
구 56
 
4.1%
호 54
 
3.9%
Other values (102) 610
44.3%

우편번호
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct26
Distinct (%)38.8%
Missing2
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean15949.955
Minimum11104
Maximum18592
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2024-03-13T08:36:37.553162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11104
5-th percentile11615.9
Q116312
median16312
Q316312
95-th percentile17712.5
Maximum18592
Range7488
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1562.4727
Coefficient of variation (CV)0.097960946
Kurtosis3.5609086
Mean15949.955
Median Absolute Deviation (MAD)0
Skewness-1.8730023
Sum1068647
Variance2441320.9
MonotonicityNot monotonic
2024-03-13T08:36:37.658504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
16312 40
58.0%
14430 2
 
2.9%
16339 2
 
2.9%
16705 1
 
1.4%
17303 1
 
1.4%
12978 1
 
1.4%
18489 1
 
1.4%
18592 1
 
1.4%
17037 1
 
1.4%
16481 1
 
1.4%
Other values (16) 16
 
23.2%
(Missing) 2
 
2.9%
ValueCountFrequency (%)
11104 1
1.4%
11473 1
1.4%
11606 1
1.4%
11615 1
1.4%
11618 1
1.4%
12457 1
1.4%
12978 1
1.4%
14430 2
2.9%
15470 1
1.4%
16236 1
1.4%
ValueCountFrequency (%)
18592 1
1.4%
18526 1
1.4%
18489 1
1.4%
17888 1
1.4%
17303 1
1.4%
17037 1
1.4%
16705 1
1.4%
16704 1
1.4%
16640 1
1.4%
16530 1
1.4%

전화번호
Text

MISSING 

Distinct59
Distinct (%)98.3%
Missing9
Missing (%)13.0%
Memory size684.0 B
2024-03-13T08:36:37.848752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.033333
Min length11

Characters and Unicode

Total characters722
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

Unique58 ?
Unique (%)96.7%

Sample

1st row031-248-9015
2nd row031-254-3416
3rd row031-291-4268
4th row031-253-6277
5th row031-251-7330
ValueCountFrequency (%)
031-248-7750 2
 
3.3%
031-248-9015 1
 
1.7%
031-250-0451 1
 
1.7%
031-251-7337 1
 
1.7%
031-251-0922 1
 
1.7%
031-241-2762 1
 
1.7%
031-268-1112 1
 
1.7%
031-376-2675 1
 
1.7%
031-243-5835 1
 
1.7%
032-613-0389 1
 
1.7%
Other values (49) 49
81.7%
2024-03-13T08:36:38.208771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 120
16.6%
3 103
14.3%
0 96
13.3%
1 96
13.3%
2 72
10.0%
5 54
7.5%
8 43
 
6.0%
7 40
 
5.5%
4 38
 
5.3%
6 35
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 602
83.4%
Dash Punctuation 120
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 103
17.1%
0 96
15.9%
1 96
15.9%
2 72
12.0%
5 54
9.0%
8 43
7.1%
7 40
 
6.6%
4 38
 
6.3%
6 35
 
5.8%
9 25
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 120
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 722
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 120
16.6%
3 103
14.3%
0 96
13.3%
1 96
13.3%
2 72
10.0%
5 54
7.5%
8 43
 
6.0%
7 40
 
5.5%
4 38
 
5.3%
6 35
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 722
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 120
16.6%
3 103
14.3%
0 96
13.3%
1 96
13.3%
2 72
10.0%
5 54
7.5%
8 43
 
6.0%
7 40
 
5.5%
4 38
 
5.3%
6 35
 
4.8%

팩스번호
Text

MISSING 

Distinct60
Distinct (%)93.8%
Missing5
Missing (%)7.2%
Memory size684.0 B
2024-03-13T08:36:38.408632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.109375
Min length11

Characters and Unicode

Total characters775
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

Unique58 ?
Unique (%)90.6%

Sample

1st row031-248-9016
2nd row031-254-3428
3rd row031-292-3068
4th row031-253-6278
5th row031-248-7751
ValueCountFrequency (%)
031-248-7751 4
 
6.2%
031-242-9434 2
 
3.1%
031-252-1394 1
 
1.6%
031-248-9016 1
 
1.6%
031-274-0371 1
 
1.6%
031-251-7655 1
 
1.6%
031-252-0922 1
 
1.6%
031-241-2764 1
 
1.6%
031-269-1112 1
 
1.6%
031-376-2679 1
 
1.6%
Other values (50) 50
78.1%
2024-03-13T08:36:38.707725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 128
16.5%
1 100
12.9%
0 99
12.8%
3 97
12.5%
2 82
10.6%
4 61
7.9%
5 57
7.4%
8 40
 
5.2%
6 39
 
5.0%
7 37
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 647
83.5%
Dash Punctuation 128
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 100
15.5%
0 99
15.3%
3 97
15.0%
2 82
12.7%
4 61
9.4%
5 57
8.8%
8 40
 
6.2%
6 39
 
6.0%
7 37
 
5.7%
9 35
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 128
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 775
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 128
16.5%
1 100
12.9%
0 99
12.8%
3 97
12.5%
2 82
10.6%
4 61
7.9%
5 57
7.4%
8 40
 
5.2%
6 39
 
5.0%
7 37
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 775
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 128
16.5%
1 100
12.9%
0 99
12.8%
3 97
12.5%
2 82
10.6%
4 61
7.9%
5 57
7.4%
8 40
 
5.2%
6 39
 
5.0%
7 37
 
4.8%

WGS84위도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct25
Distinct (%)38.5%
Missing4
Missing (%)5.8%
Infinite0
Infinite (%)0.0%
Mean37.340731
Minimum36.996626
Maximum38.086067
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2024-03-13T08:36:38.834878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.996626
5-th percentile37.191188
Q137.295687
median37.295687
Q337.295687
95-th percentile37.754163
Maximum38.086067
Range1.089441
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.17202644
Coefficient of variation (CV)0.0046069381
Kurtosis6.4805665
Mean37.340731
Median Absolute Deviation (MAD)0
Skewness2.3564604
Sum2427.1475
Variance0.029593095
MonotonicityNot monotonic
2024-03-13T08:36:38.940238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
37.2956867021 40
58.0%
37.5241753426 2
 
2.9%
37.3117306447 1
 
1.4%
37.313185737 1
 
1.4%
37.5360207536 1
 
1.4%
37.180948184 1
 
1.4%
37.1329307317 1
 
1.4%
37.3137907067 1
 
1.4%
37.2694070752 1
 
1.4%
37.7579240735 1
 
1.4%
Other values (15) 15
 
21.7%
(Missing) 4
 
5.8%
ValueCountFrequency (%)
36.9966258447 1
1.4%
37.1329307317 1
1.4%
37.1744904072 1
1.4%
37.180948184 1
1.4%
37.2321454595 1
1.4%
37.2496320854 1
1.4%
37.2520364395 1
1.4%
37.2694070752 1
1.4%
37.2760024048 1
1.4%
37.2808101871 1
1.4%
ValueCountFrequency (%)
38.0860668544 1
1.4%
37.8214035502 1
1.4%
37.7579240735 1
1.4%
37.7559982018 1
1.4%
37.7468240687 1
1.4%
37.7191111724 1
1.4%
37.5360207536 1
1.4%
37.5241753426 2
2.9%
37.3137907067 1
1.4%
37.313185737 1
1.4%

WGS84경도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct25
Distinct (%)38.5%
Missing4
Missing (%)5.8%
Infinite0
Infinite (%)0.0%
Mean127.02141
Minimum126.80237
Maximum127.40276
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2024-03-13T08:36:39.034803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.80237
5-th percentile126.90906
Q1126.99963
median126.99963
Q3127.00701
95-th percentile127.25179
Maximum127.40276
Range0.60038768
Interquartile range (IQR)0.0073791791

Descriptive statistics

Standard deviation0.10079409
Coefficient of variation (CV)0.00079352053
Kurtosis6.1826892
Mean127.02141
Median Absolute Deviation (MAD)0
Skewness1.8264716
Sum8256.3915
Variance0.010159449
MonotonicityNot monotonic
2024-03-13T08:36:39.130814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
126.9996313485 40
58.0%
126.8023709197 2
 
2.9%
126.8315582579 1
 
1.4%
127.3965803452 1
 
1.4%
127.2030370076 1
 
1.4%
127.1156141276 1
 
1.4%
126.9169983423 1
 
1.4%
127.2639769734 1
 
1.4%
127.0271450798 1
 
1.4%
127.0316022932 1
 
1.4%
Other values (15) 15
 
21.7%
(Missing) 4
 
5.8%
ValueCountFrequency (%)
126.8023709197 2
 
2.9%
126.8315582579 1
 
1.4%
126.9070704518 1
 
1.4%
126.9169983423 1
 
1.4%
126.972172893 1
 
1.4%
126.979977736 1
 
1.4%
126.9928339256 1
 
1.4%
126.9996313485 40
58.0%
127.0070105276 1
 
1.4%
127.0236699068 1
 
1.4%
ValueCountFrequency (%)
127.4027586002 1
1.4%
127.3965803452 1
1.4%
127.2762692226 1
1.4%
127.2639769734 1
1.4%
127.2030370076 1
1.4%
127.1156141276 1
1.4%
127.1021811779 1
1.4%
127.0921487035 1
1.4%
127.0776491973 1
1.4%
127.0744671581 1
1.4%

Interactions

2024-03-13T08:36:35.492540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:36:35.049614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:36:35.275186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:36:35.563524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:36:35.120336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:36:35.358370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:36:35.627699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:36:35.199900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:36:35.424636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T08:36:39.227730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종목명도로명주소지번주소우편번호전화번호팩스번호WGS84위도WGS84경도
종목명1.0001.0001.0001.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.0001.0001.0001.000
지번주소1.0001.0001.0001.0001.0001.0001.0001.000
우편번호1.0001.0001.0001.0001.0001.0000.9200.965
전화번호1.0001.0001.0001.0001.0001.0001.0001.000
팩스번호1.0001.0001.0001.0001.0001.0001.0001.000
WGS84위도1.0001.0001.0000.9201.0001.0001.0000.825
WGS84경도1.0001.0001.0000.9651.0001.0000.8251.000
2024-03-13T08:36:39.372372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
우편번호WGS84위도WGS84경도도로명주소
우편번호1.000-0.800-0.0450.853
WGS84위도-0.8001.0000.1760.838
WGS84경도-0.0450.1761.0000.853
도로명주소0.8530.8380.8531.000

Missing values

2024-03-13T08:36:35.721130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T08:36:35.816461image/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.
2024-03-13T08:36:35.903007image/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

종목명도로명주소지번주소우편번호전화번호팩스번호WGS84위도WGS84경도
0e스포츠협회경기도 수원시 장안구 장안로 134경기도 수원시 장안구 정자동 27-10번지 경기도체육회관 5층 514호16312031-248-9015031-248-901637.295687126.999631
1가라테연맹<NA>경기도 수원시 장안구 정자로134 경기도체육회관 511호16339<NA><NA><NA><NA>
2검도회경기도 수원시 장안구 장안로 134경기도 수원시 장안구 정자동 27-10번지 경기도체육회관 804호16312031-254-3416031-254-342837.295687126.999631
3게이트볼협회경기도 수원시 권선구 여기산로26번길 30경기도 수원시 권선구 서둔동 256번지 여기산공원내16429031-291-4268031-292-306837.28081126.979978
4골프협회경기도 수원시 장안구 장안로 134경기도 수원시 장안구 정자동 27-10번지 경기도체육회관 807호16312031-253-6277031-253-627837.295687126.999631
5국학기공협회경기도 수원시 장안구 장안로 134경기도 수원시 장안구 정자동 27-10번지 경기도체육회관 510호16312031-251-7330031-248-775137.295687126.999631
6궁도협회경기도 수원시 장안구 장안로 134경기도 수원시 장안구 정자동 27-10번지 경기도체육회관 903호16312031-245-7588031-245-759937.295687126.999631
7그라운드골프협회경기도 수원시 장안구 장안로 134경기도 수원시 장안구 정자동 27-10번지 경기도체육회관 809호16312031-244-6645031-244-664637.295687126.999631
8근대5종연맹경기도 수원시 장안구 장안로 134경기도 수원시 장안구 정자동 27-10번지 경기도체육회관 508호16312031-256-3361031-298-756537.295687126.999631
9농구협회경기도 수원시 장안구 장안로 134경기도 수원시 장안구 정자동 27-10번지 경기도체육회관 806호16312031-252-0383031-254-038337.295687126.999631
종목명도로명주소지번주소우편번호전화번호팩스번호WGS84위도WGS84경도
59태권도협회경기도 수원시 팔달구 경수대로 485경기도 수원시 팔달구 인계동 966-6번지 4층16481031-239-9561031-239-956437.269407127.027145
60택견회<NA>경기도 용인시 처인구 삼가동 470, 용인대학교 무도대학 12505호<NA>031-8020-36910504-099-0602<NA><NA>
61테니스협회경기도 수원시 장안구 장안로 134경기도 수원시 장안구 정자동 27-10번지 경기도체육회관 815호16312031-968-7227031-968-722837.295687126.999631
62특공무술중앙회경기도 부천시 원종로 21경기도 부천시 원종동 211-2번지 4층14430032-679-3089032-673-308937.524175126.802371
63파크골프협회경기도 수원시 장안구 장안로 134경기도 수원시 장안구 정자동 27-10번지 경기도체육회관 913호16312031-248-7750031-248-775137.295687126.999631
64패러글라이딩협회<NA>경기도 용인시 처인구 모현읍 초부리 271-217037<NA>050-4180-900737.313791127.263977
65펜싱협회경기도 화성시 향남읍 발안로 71경기도 화성시 향남읍 평리 62-1번지18592031-353-6229031-359-935637.132931126.916998
66하키협회경기도 화성시 동탄신리천로1길 74경기도 화성시 목동 494번지 호반베르디움센트럴포레 1918동 602호18489<NA>0504-325-641137.180948127.115614
67합기도협회경기도 수원시 장안구 장안로 134경기도 수원시 장안구 정자동 27-10번지 경기도체육회관 504호16312031-258-9488031-242-943437.295687126.999631
68핸드볼협회경기도 하남시 신평로 25경기도 하남시 덕풍동 450번지12978031-790-3899031-796-382837.536021127.203037