Overview

Dataset statistics

Number of variables9
Number of observations94
Missing cells150
Missing cells (%)17.7%
Duplicate rows1
Duplicate rows (%)1.1%
Total size in memory6.9 KiB
Average record size in memory75.4 B

Variable types

Categorical3
Text4
Numeric2

Dataset

Description경기도 양평군의 초등학교, 중학교, 고등학교의 주소, 전화번호, 팩스번호, 설립구분하여 데이터를 제공합니다.
Author경기도 양평군
URLhttps://www.data.go.kr/data/15110620/fileData.do

Alerts

Dataset has 1 (1.1%) duplicate rowsDuplicates
위도 is highly overall correlated with 주소(지번)High correlation
경도 is highly overall correlated with 주소(지번)High correlation
학교급별 is highly overall correlated with 설립High correlation
설립 is highly overall correlated with 학교급별 and 1 other fieldsHigh correlation
주소(지번) is highly overall correlated with 위도 and 2 other fieldsHigh correlation
학교명 has 25 (26.6%) missing valuesMissing
주소(도로명) has 25 (26.6%) missing valuesMissing
위도 has 25 (26.6%) missing valuesMissing
경도 has 25 (26.6%) missing valuesMissing
전화번호 has 25 (26.6%) missing valuesMissing
팩스 has 25 (26.6%) missing valuesMissing

Reproduction

Analysis started2023-12-11 23:56:58.180098
Analysis finished2023-12-11 23:56:59.477279
Duration1.3 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

학교급별
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size884.0 B
유치원
25 
<NA>
25 
초등학교
23 
중학교
12 
고등학교
8 

Length

Max length4
Median length4
Mean length3.606383
Min length3

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
유치원 25
26.6%
<NA> 25
26.6%
초등학교 23
24.5%
중학교 12
12.8%
고등학교 8
 
8.5%
특수학교 1
 
1.1%

Length

2023-12-12T08:56:59.533651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:56:59.624692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유치원 25
26.6%
na 25
26.6%
초등학교 23
24.5%
중학교 12
12.8%
고등학교 8
 
8.5%
특수학교 1
 
1.1%

설립
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size884.0 B
공립
55 
<NA>
25 
사립
14 

Length

Max length4
Median length2
Mean length2.5319149
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공립 55
58.5%
<NA> 25
26.6%
사립 14
 
14.9%

Length

2023-12-12T08:56:59.752325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:56:59.853412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공립 55
58.5%
na 25
26.6%
사립 14
 
14.9%

학교명
Text

MISSING 

Distinct69
Distinct (%)100.0%
Missing25
Missing (%)26.6%
Memory size884.0 B
2023-12-12T08:57:00.098085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length7.5942029
Min length4

Characters and Unicode

Total characters524
Distinct characters58
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
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 row강상초등학교병설유치원
2nd row강하초등학교병설유치원
3rd row개군초등학교병설유치원
4th row곡수초등학교병설유치원
5th row다문초등학교병설유치원
ValueCountFrequency (%)
수입초등학교병설유치원 1
 
1.4%
단월중학교 1
 
1.4%
양수중학교 1
 
1.4%
국수중학교 1
 
1.4%
강하중학교 1
 
1.4%
청운초등학교 1
 
1.4%
지평초등학교 1
 
1.4%
조현초등학교 1
 
1.4%
원덕초등학교 1
 
1.4%
양서초등학교 1
 
1.4%
Other values (59) 59
85.5%
2023-12-12T08:57:00.446799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 67
12.8%
학 66
12.6%
등 52
 
9.9%
초 44
 
8.4%
원 27
 
5.2%
유 25
 
4.8%
치 25
 
4.8%
양 23
 
4.4%
병 21
 
4.0%
설 21
 
4.0%
Other values (48) 153
29.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 522
99.6%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 67
12.8%
학 66
12.6%
등 52
 
10.0%
초 44
 
8.4%
원 27
 
5.2%
유 25
 
4.8%
치 25
 
4.8%
양 23
 
4.4%
병 21
 
4.0%
설 21
 
4.0%
Other values (46) 151
28.9%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 522
99.6%
Common 2
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 67
12.8%
학 66
12.6%
등 52
 
10.0%
초 44
 
8.4%
원 27
 
5.2%
유 25
 
4.8%
치 25
 
4.8%
양 23
 
4.4%
병 21
 
4.0%
설 21
 
4.0%
Other values (46) 151
28.9%
Common
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 522
99.6%
ASCII 2
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 67
12.8%
학 66
12.6%
등 52
 
10.0%
초 44
 
8.4%
원 27
 
5.2%
유 25
 
4.8%
치 25
 
4.8%
양 23
 
4.4%
병 21
 
4.0%
설 21
 
4.0%
Other values (46) 151
28.9%
ASCII
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

주소(도로명)
Text

MISSING 

Distinct63
Distinct (%)91.3%
Missing25
Missing (%)26.6%
Memory size884.0 B
2023-12-12T08:57:00.665982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length43
Mean length33.536232
Min length24

Characters and Unicode

Total characters2314
Distinct characters110
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)82.6%

Sample

1st row경기도 양평군 강상면 신화길 86(강상면,강상초등학교)
2nd row경기도 양평군 강하면 운심길 33(강하면)
3rd row경기도 양평군 개군면 자진개1길 23(개군면)
4th row경기도 양평군 지평면 곡수길56번길 17(지평면, 곡수초등학교)
5th row경기도 양평군 용문면 다문중앙2길 27, 다문초등학교 병설유치원 (용문면, 다문초등학교)
ValueCountFrequency (%)
경기도 69
 
16.2%
양평군 69
 
16.2%
양평읍 14
 
3.3%
양서면 14
 
3.3%
용문면 13
 
3.0%
서종면 10
 
2.3%
지평면 9
 
2.1%
양동면 9
 
2.1%
강상면 6
 
1.4%
단월면 6
 
1.4%
Other values (134) 208
48.7%
2023-12-12T08:57:01.060617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
430
 
18.6%
양 150
 
6.5%
평 121
 
5.2%
면 111
 
4.8%
군 75
 
3.2%
도 71
 
3.1%
경 69
 
3.0%
기 69
 
3.0%
) 66
 
2.9%
( 66
 
2.9%
Other values (100) 1086
46.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1490
64.4%
Space Separator 430
 
18.6%
Decimal Number 196
 
8.5%
Close Punctuation 66
 
2.9%
Open Punctuation 66
 
2.9%
Other Punctuation 59
 
2.5%
Dash Punctuation 7
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 150
 
10.1%
평 121
 
8.1%
면 111
 
7.4%
군 75
 
5.0%
도 71
 
4.8%
경 69
 
4.6%
기 69
 
4.6%
교 62
 
4.2%
학 61
 
4.1%
길 56
 
3.8%
Other values (85) 645
43.3%
Decimal Number
ValueCountFrequency (%)
1 35
17.9%
2 28
14.3%
7 24
12.2%
3 23
11.7%
8 21
10.7%
5 18
9.2%
4 14
 
7.1%
6 13
 
6.6%
0 12
 
6.1%
9 8
 
4.1%
Space Separator
ValueCountFrequency (%)
430
100.0%
Close Punctuation
ValueCountFrequency (%)
) 66
100.0%
Open Punctuation
ValueCountFrequency (%)
( 66
100.0%
Other Punctuation
ValueCountFrequency (%)
, 59
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1490
64.4%
Common 824
35.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 150
 
10.1%
평 121
 
8.1%
면 111
 
7.4%
군 75
 
5.0%
도 71
 
4.8%
경 69
 
4.6%
기 69
 
4.6%
교 62
 
4.2%
학 61
 
4.1%
길 56
 
3.8%
Other values (85) 645
43.3%
Common
ValueCountFrequency (%)
430
52.2%
) 66
 
8.0%
( 66
 
8.0%
, 59
 
7.2%
1 35
 
4.2%
2 28
 
3.4%
7 24
 
2.9%
3 23
 
2.8%
8 21
 
2.5%
5 18
 
2.2%
Other values (5) 54
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1490
64.4%
ASCII 824
35.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
430
52.2%
) 66
 
8.0%
( 66
 
8.0%
, 59
 
7.2%
1 35
 
4.2%
2 28
 
3.4%
7 24
 
2.9%
3 23
 
2.8%
8 21
 
2.5%
5 18
 
2.2%
Other values (5) 54
 
6.6%
Hangul
ValueCountFrequency (%)
양 150
 
10.1%
평 121
 
8.1%
면 111
 
7.4%
군 75
 
5.0%
도 71
 
4.8%
경 69
 
4.6%
기 69
 
4.6%
교 62
 
4.2%
학 61
 
4.1%
길 56
 
3.8%
Other values (85) 645
43.3%

주소(지번)
Categorical

HIGH CORRELATION 

Distinct42
Distinct (%)44.7%
Missing0
Missing (%)0.0%
Memory size884.0 B
25 
경기도 양평군 양서면 용담리 529-1
 
3
경기도 양평군 강상면 신화리 243
 
2
경기도 양평군 용문면 다문리 626
 
2
경기도 양평군 지평면 곡수리 387-1
 
2
Other values (37)
60 

Length

Max length22
Median length21
Mean length15.265957
Min length1

Unique

Unique14 ?
Unique (%)14.9%

Sample

1st row경기도 양평군 강상면 신화리 243
2nd row경기도 양평군 강하면 운심리 43-2
3rd row경기도 양평군 개군면 하자포리 276-1
4th row경기도 양평군 지평면 곡수리 387-1
5th row경기도 양평군 용문면 다문리 626

Common Values

ValueCountFrequency (%)
25
26.6%
경기도 양평군 양서면 용담리 529-1 3
 
3.2%
경기도 양평군 강상면 신화리 243 2
 
2.1%
경기도 양평군 용문면 다문리 626 2
 
2.1%
경기도 양평군 지평면 곡수리 387-1 2
 
2.1%
경기도 양평군 개군면 하자포리 276-1 2
 
2.1%
경기도 양평군 단월면 보룡리 693-1 2
 
2.1%
경기도 양평군 서종면 문호리 745-4 2
 
2.1%
경기도 양평군 양서면 증동리 573 2
 
2.1%
경기도 양평군 양동면 고송리 825-4 2
 
2.1%
Other values (32) 50
53.2%

Length

2023-12-12T08:57:01.190667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 69
19.9%
양평군 69
19.9%
양평읍 12
 
3.5%
양서면 10
 
2.9%
용문면 8
 
2.3%
서종면 7
 
2.0%
양동면 6
 
1.7%
양근리 6
 
1.7%
지평면 6
 
1.7%
청운면 4
 
1.2%
Other values (75) 150
43.2%

위도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct41
Distinct (%)59.4%
Missing25
Missing (%)26.6%
Infinite0
Infinite (%)0.0%
Mean37.505524
Minimum37.418487
Maximum37.644531
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size978.0 B
2023-12-12T08:57:01.299558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.418487
5-th percentile37.424192
Q137.474474
median37.494371
Q337.539608
95-th percentile37.609102
Maximum37.644531
Range0.22604407
Interquartile range (IQR)0.065134235

Descriptive statistics

Standard deviation0.053677826
Coefficient of variation (CV)0.0014311979
Kurtosis0.2996301
Mean37.505524
Median Absolute Deviation (MAD)0.026316396
Skewness0.57443884
Sum2587.8812
Variance0.002881309
MonotonicityNot monotonic
2023-12-12T08:57:01.413676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
37.5447343617 3
 
3.2%
37.5195819677 2
 
2.1%
37.491873372 2
 
2.1%
37.4943705068 2
 
2.1%
37.4216834802 2
 
2.1%
37.5533440524 2
 
2.1%
37.4744740136 2
 
2.1%
37.5100918596 2
 
2.1%
37.4965550994 2
 
2.1%
37.4758449686 2
 
2.1%
Other values (31) 48
51.1%
(Missing) 25
26.6%
ValueCountFrequency (%)
37.4184872212 2
2.1%
37.4216834802 2
2.1%
37.4279539797 2
2.1%
37.4285807499 1
1.1%
37.4307034106 2
2.1%
37.4360538059 2
2.1%
37.4680541106 2
2.1%
37.4739284001 2
2.1%
37.4744693172 1
1.1%
37.4744740136 2
2.1%
ValueCountFrequency (%)
37.6445312879 2
2.1%
37.613608719 1
 
1.1%
37.6091019577 2
2.1%
37.6030282128 2
2.1%
37.55455143 2
2.1%
37.5533440524 2
2.1%
37.5480676574 1
 
1.1%
37.5454871419 1
 
1.1%
37.5447343617 3
3.2%
37.5410664305 1
 
1.1%

경도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct41
Distinct (%)59.4%
Missing25
Missing (%)26.6%
Infinite0
Infinite (%)0.0%
Mean127.53199
Minimum127.32567
Maximum127.75565
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size978.0 B
2023-12-12T08:57:01.526855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.32567
5-th percentile127.33605
Q1127.4156
median127.50215
Q3127.63456
95-th percentile127.73542
Maximum127.75565
Range0.42998388
Interquartile range (IQR)0.21895829

Descriptive statistics

Standard deviation0.12704274
Coefficient of variation (CV)0.00099616368
Kurtosis-1.1169277
Mean127.53199
Median Absolute Deviation (MAD)0.10922647
Skewness0.093668325
Sum8799.7075
Variance0.016139857
MonotonicityNot monotonic
2023-12-12T08:57:01.651533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
127.3256681196 3
 
3.2%
127.4593942095 2
 
2.1%
127.5988154221 2
 
2.1%
127.4934909112 2
 
2.1%
127.755652002 2
 
2.1%
127.7114679839 2
 
2.1%
127.6345589136 2
 
2.1%
127.4009330875 2
 
2.1%
127.4098739283 2
 
2.1%
127.6380388087 2
 
2.1%
Other values (31) 48
51.1%
(Missing) 25
26.6%
ValueCountFrequency (%)
127.3256681196 3
3.2%
127.3279563796 1
 
1.1%
127.3481943993 2
2.1%
127.3507987796 1
 
1.1%
127.3757399754 2
2.1%
127.3822246978 2
2.1%
127.4009330875 2
2.1%
127.4050751389 1
 
1.1%
127.4098739283 2
2.1%
127.4156006193 2
2.1%
ValueCountFrequency (%)
127.755652002 2
2.1%
127.7498572829 2
2.1%
127.7137710365 2
2.1%
127.7114679839 2
2.1%
127.7005221459 2
2.1%
127.6826064993 1
1.1%
127.6728384075 2
2.1%
127.6725010871 1
1.1%
127.6380388087 2
2.1%
127.6345589136 2
2.1%

전화번호
Text

MISSING 

Distinct69
Distinct (%)100.0%
Missing25
Missing (%)26.6%
Memory size884.0 B
2023-12-12T08:57:01.885350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.086957
Min length12

Characters and Unicode

Total characters834
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

Unique69 ?
Unique (%)100.0%

Sample

1st row031-771-1065
2nd row031-771-9246
3rd row031-774-1324
4th row031-771-1157
5th row070-5175-9676
ValueCountFrequency (%)
031-773-6184 1
 
1.4%
031-773-0263 1
 
1.4%
031-772-2723 1
 
1.4%
070-5175-0960 1
 
1.4%
031-773-0894 1
 
1.4%
031-773-9009 1
 
1.4%
031-773-7054 1
 
1.4%
031-772-4942 1
 
1.4%
031-772-2820 1
 
1.4%
031-772-7406 1
 
1.4%
Other values (59) 59
85.5%
2023-12-12T08:57:02.265801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 160
19.2%
- 138
16.5%
0 122
14.6%
3 114
13.7%
1 101
12.1%
2 49
 
5.9%
4 46
 
5.5%
6 29
 
3.5%
5 27
 
3.2%
8 24
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 696
83.5%
Dash Punctuation 138
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 160
23.0%
0 122
17.5%
3 114
16.4%
1 101
14.5%
2 49
 
7.0%
4 46
 
6.6%
6 29
 
4.2%
5 27
 
3.9%
8 24
 
3.4%
9 24
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 138
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 834
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 160
19.2%
- 138
16.5%
0 122
14.6%
3 114
13.7%
1 101
12.1%
2 49
 
5.9%
4 46
 
5.5%
6 29
 
3.5%
5 27
 
3.2%
8 24
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 834
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 160
19.2%
- 138
16.5%
0 122
14.6%
3 114
13.7%
1 101
12.1%
2 49
 
5.9%
4 46
 
5.5%
6 29
 
3.5%
5 27
 
3.2%
8 24
 
2.9%

팩스
Text

MISSING 

Distinct41
Distinct (%)59.4%
Missing25
Missing (%)26.6%
Memory size884.0 B
2023-12-12T08:57:02.498331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters828
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

Unique15 ?
Unique (%)21.7%

Sample

1st row031-772-8223
2nd row031-772-4083
3rd row031-771-5994
4th row031-773-8323
5th row031-773-3402
ValueCountFrequency (%)
031-771-3230 3
 
4.3%
031-773-1170 3
 
4.3%
031-773-6215 2
 
2.9%
031-773-7221 2
 
2.9%
031-773-9286 2
 
2.9%
031-772-4083 2
 
2.9%
031-771-7245 2
 
2.9%
031-771-1536 2
 
2.9%
031-771-1064 2
 
2.9%
031-771-1103 2
 
2.9%
Other values (31) 47
68.1%
2023-12-12T08:57:02.844241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 155
18.7%
- 138
16.7%
3 125
15.1%
1 123
14.9%
0 95
11.5%
2 57
 
6.9%
4 36
 
4.3%
6 32
 
3.9%
9 28
 
3.4%
5 22
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 690
83.3%
Dash Punctuation 138
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 155
22.5%
3 125
18.1%
1 123
17.8%
0 95
13.8%
2 57
 
8.3%
4 36
 
5.2%
6 32
 
4.6%
9 28
 
4.1%
5 22
 
3.2%
8 17
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 138
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 828
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 155
18.7%
- 138
16.7%
3 125
15.1%
1 123
14.9%
0 95
11.5%
2 57
 
6.9%
4 36
 
4.3%
6 32
 
3.9%
9 28
 
3.4%
5 22
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 828
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 155
18.7%
- 138
16.7%
3 125
15.1%
1 123
14.9%
0 95
11.5%
2 57
 
6.9%
4 36
 
4.3%
6 32
 
3.9%
9 28
 
3.4%
5 22
 
2.7%

Interactions

2023-12-12T08:56:58.881975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:56:58.720685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:56:58.955681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:56:58.803825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T08:57:02.950597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
학교급별설립학교명주소(도로명)주소(지번)위도경도전화번호팩스
학교급별1.0000.4301.0000.8730.4990.0000.0001.0000.545
설립0.4301.0001.0001.0001.0000.3240.0001.0001.000
학교명1.0001.0001.0001.0001.0001.0001.0001.0001.000
주소(도로명)0.8731.0001.0001.0001.0001.0001.0001.0001.000
주소(지번)0.4991.0001.0001.0001.0001.0001.0001.0001.000
위도0.0000.3241.0001.0001.0001.0000.7461.0000.998
경도0.0000.0001.0001.0001.0000.7461.0001.0000.998
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
팩스0.5451.0001.0001.0001.0000.9980.9981.0001.000
2023-12-12T08:57:03.064206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주소(지번)학교급별설립
주소(지번)1.0000.1420.646
학교급별0.1421.0000.510
설립0.6460.5101.000
2023-12-12T08:57:03.145228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도학교급별설립주소(지번)
위도1.000-0.3810.0000.2290.678
경도-0.3811.0000.0000.0000.689
학교급별0.0000.0001.0000.5100.142
설립0.2290.0000.5101.0000.646
주소(지번)0.6780.6890.1420.6461.000

Missing values

2023-12-12T08:56:59.056959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:56:59.197755image/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.
2023-12-12T08:56:59.367469image/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

학교급별설립학교명주소(도로명)주소(지번)위도경도전화번호팩스
0유치원공립강상초등학교병설유치원경기도 양평군 강상면 신화길 86(강상면,강상초등학교)경기도 양평군 강상면 신화리 24337.473928127.479829031-771-1065031-772-8223
1유치원공립강하초등학교병설유치원경기도 양평군 강하면 운심길 33(강하면)경기도 양평군 강하면 운심리 43-237.496555127.409874031-771-9246031-772-4083
2유치원공립개군초등학교병설유치원경기도 양평군 개군면 자진개1길 23(개군면)경기도 양평군 개군면 하자포리 276-137.427954127.534373031-774-1324031-771-5994
3유치원공립곡수초등학교병설유치원경기도 양평군 지평면 곡수길56번길 17(지평면, 곡수초등학교)경기도 양평군 지평면 곡수리 387-137.418487127.611378031-771-1157031-773-8323
4유치원공립다문초등학교병설유치원경기도 양평군 용문면 다문중앙2길 27, 다문초등학교 병설유치원 (용문면, 다문초등학교)경기도 양평군 용문면 다문리 62637.485855127.591531070-5175-9676031-773-3402
5유치원공립대아초등학교병설유치원경기도 양평군 양서면 방죽들길 5, 대아초등학교 병설유치원 (양서면)경기도 양평군 양서면 증동리 57337.527891127.415601031-771-4765031-772-3762
6유치원공립서종초등학교병설유치원경기도 양평군 서종면 북한강로789번길 8, 서종초등학교 (서종면)경기도 양평군 서종면 문호리 745-437.609102127.348194031-774-2241031-773-6065
7유치원공립세월초등학교병설유치원경기도 양평군 강상면 세월길147번길 2, 세월초등학교병설유치원 (강상면)경기도 양평군 강상면 세월리 126-137.436054127.495113031-772-3507031-772-9120
8유치원공립수입초등학교병설유치원경기도 양평군 서종면 무드리2길 20, 수입초등학교병설유치원 (서종면, 수입초등학교)경기도 양평군 서종면 수입리 67337.644531127.37574031-773-6184031-773-6214
9유치원공립양동초등학교고송분교장병설유치원경기도 양평군 양동면 고송길 32-16(양동면,양동초등학교 고송분교장)경기도 양평군 양동면 고송리 825-437.486411127.700522031-773-1174031-773-1170
학교급별설립학교명주소(도로명)주소(지번)위도경도전화번호팩스
84<NA><NA><NA><NA><NA><NA><NA><NA>
85<NA><NA><NA><NA><NA><NA><NA><NA>
86<NA><NA><NA><NA><NA><NA><NA><NA>
87<NA><NA><NA><NA><NA><NA><NA><NA>
88<NA><NA><NA><NA><NA><NA><NA><NA>
89<NA><NA><NA><NA><NA><NA><NA><NA>
90<NA><NA><NA><NA><NA><NA><NA><NA>
91<NA><NA><NA><NA><NA><NA><NA><NA>
92<NA><NA><NA><NA><NA><NA><NA><NA>
93<NA><NA><NA><NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

학교급별설립학교명주소(도로명)주소(지번)위도경도전화번호팩스# duplicates
0<NA><NA><NA><NA><NA><NA><NA><NA>25