Overview

Dataset statistics

Number of variables7
Number of observations6878
Missing cells5
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory396.4 KiB
Average record size in memory59.0 B

Variable types

Numeric3
Text2
Categorical2

Dataset

Description사립학교교직원연금공단 연금법 적용기관 현황과 관련된 데이터로 순번, 기관명, 학교급, 지역, 주소, X좌표, Y좌표 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15081296/fileData.do

Alerts

순번 is highly overall correlated with 학교급High correlation
X좌표 is highly overall correlated with 지역High correlation
Y좌표 is highly overall correlated with 지역High correlation
학교급 is highly overall correlated with 순번High correlation
지역 is highly overall correlated with X좌표 and 1 other fieldsHigh correlation
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:15:10.609820
Analysis finished2023-12-12 14:15:13.734888
Duration3.13 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct6878
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3439.5
Minimum1
Maximum6878
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size60.6 KiB
2023-12-12T23:15:13.836797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile344.85
Q11720.25
median3439.5
Q35158.75
95-th percentile6534.15
Maximum6878
Range6877
Interquartile range (IQR)3438.5

Descriptive statistics

Standard deviation1985.6519
Coefficient of variation (CV)0.5773083
Kurtosis-1.2
Mean3439.5
Median Absolute Deviation (MAD)1719.5
Skewness0
Sum23656881
Variance3942813.5
MonotonicityStrictly increasing
2023-12-12T23:15:14.035444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
4596 1
 
< 0.1%
4594 1
 
< 0.1%
4593 1
 
< 0.1%
4592 1
 
< 0.1%
4591 1
 
< 0.1%
4590 1
 
< 0.1%
4589 1
 
< 0.1%
4588 1
 
< 0.1%
4587 1
 
< 0.1%
Other values (6868) 6868
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
6878 1
< 0.1%
6877 1
< 0.1%
6876 1
< 0.1%
6875 1
< 0.1%
6874 1
< 0.1%
6873 1
< 0.1%
6872 1
< 0.1%
6871 1
< 0.1%
6870 1
< 0.1%
6869 1
< 0.1%

기관명
Text

Distinct5388
Distinct (%)78.3%
Missing0
Missing (%)0.0%
Memory size53.9 KiB
2023-12-12T23:15:14.384078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length6.9633614
Min length4

Characters and Unicode

Total characters47894
Distinct characters596
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4798 ?
Unique (%)69.8%

Sample

1st row동화나라유치원
2nd row신예유치원
3rd row해림유치원
4th row배화유치원
5th row동성유치원
ValueCountFrequency (%)
학교법인 1151
 
13.5%
중학교 140
 
1.6%
고등학교 105
 
1.2%
여자중학교 52
 
0.6%
여자고등학교 43
 
0.5%
유치원 26
 
0.3%
성모유치원 24
 
0.3%
예일유치원 21
 
0.2%
사랑유치원 20
 
0.2%
자연유치원 20
 
0.2%
Other values (5261) 6931
81.2%
2023-12-12T23:15:14.944137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 4851
 
10.1%
학 4746
 
9.9%
교 3599
 
7.5%
유 3467
 
7.2%
치 3419
 
7.1%
1656
 
3.5%
인 1381
 
2.9%
법 1204
 
2.5%
등 1084
 
2.3%
고 1047
 
2.2%
Other values (586) 21440
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 46121
96.3%
Space Separator 1656
 
3.5%
Uppercase Letter 49
 
0.1%
Open Punctuation 17
 
< 0.1%
Close Punctuation 17
 
< 0.1%
Other Punctuation 11
 
< 0.1%
Decimal Number 8
 
< 0.1%
Letter Number 7
 
< 0.1%
Lowercase Letter 6
 
< 0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 4851
 
10.5%
학 4746
 
10.3%
교 3599
 
7.8%
유 3467
 
7.5%
치 3419
 
7.4%
인 1381
 
3.0%
법 1204
 
2.6%
등 1084
 
2.4%
고 1047
 
2.3%
대 1046
 
2.3%
Other values (547) 20277
44.0%
Uppercase Letter
ValueCountFrequency (%)
C 7
14.3%
A 7
14.3%
T 5
10.2%
I 4
8.2%
K 4
8.2%
L 3
 
6.1%
M 3
 
6.1%
Y 3
 
6.1%
O 2
 
4.1%
P 2
 
4.1%
Other values (7) 9
18.4%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
14.3%
Ⅳ 1
14.3%
Ⅶ 1
14.3%
Ⅵ 1
14.3%
Ⅲ 1
14.3%
Ⅴ 1
14.3%
Ⅱ 1
14.3%
Decimal Number
ValueCountFrequency (%)
2 3
37.5%
1 3
37.5%
5 1
 
12.5%
3 1
 
12.5%
Lowercase Letter
ValueCountFrequency (%)
i 2
33.3%
e 2
33.3%
g 1
16.7%
n 1
16.7%
Other Punctuation
ValueCountFrequency (%)
· 8
72.7%
. 2
 
18.2%
＆ 1
 
9.1%
Space Separator
ValueCountFrequency (%)
1656
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 46121
96.3%
Common 1711
 
3.6%
Latin 62
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 4851
 
10.5%
학 4746
 
10.3%
교 3599
 
7.8%
유 3467
 
7.5%
치 3419
 
7.4%
인 1381
 
3.0%
법 1204
 
2.6%
등 1084
 
2.4%
고 1047
 
2.3%
대 1046
 
2.3%
Other values (547) 20277
44.0%
Latin
ValueCountFrequency (%)
C 7
 
11.3%
A 7
 
11.3%
T 5
 
8.1%
I 4
 
6.5%
K 4
 
6.5%
L 3
 
4.8%
M 3
 
4.8%
Y 3
 
4.8%
O 2
 
3.2%
P 2
 
3.2%
Other values (18) 22
35.5%
Common
ValueCountFrequency (%)
1656
96.8%
( 17
 
1.0%
) 17
 
1.0%
· 8
 
0.5%
2 3
 
0.2%
1 3
 
0.2%
. 2
 
0.1%
- 2
 
0.1%
＆ 1
 
0.1%
5 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 46121
96.3%
ASCII 1757
 
3.7%
None 9
 
< 0.1%
Number Forms 7
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 4851
 
10.5%
학 4746
 
10.3%
교 3599
 
7.8%
유 3467
 
7.5%
치 3419
 
7.4%
인 1381
 
3.0%
법 1204
 
2.6%
등 1084
 
2.4%
고 1047
 
2.3%
대 1046
 
2.3%
Other values (547) 20277
44.0%
ASCII
ValueCountFrequency (%)
1656
94.3%
( 17
 
1.0%
) 17
 
1.0%
C 7
 
0.4%
A 7
 
0.4%
T 5
 
0.3%
I 4
 
0.2%
K 4
 
0.2%
2 3
 
0.2%
L 3
 
0.2%
Other values (20) 34
 
1.9%
None
ValueCountFrequency (%)
· 8
88.9%
＆ 1
 
11.1%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
14.3%
Ⅳ 1
14.3%
Ⅶ 1
14.3%
Ⅵ 1
14.3%
Ⅲ 1
14.3%
Ⅴ 1
14.3%
Ⅱ 1
14.3%

학교급
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size53.9 KiB
유치원
3408 
법인
1197 
고등학교
997 
중학교
650 
대학교
 
315
Other values (3)
 
311

Length

Max length4
Median length3
Mean length3.0161384
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유치원 3408
49.5%
법인 1197
 
17.4%
고등학교 997
 
14.5%
중학교 650
 
9.5%
대학교 315
 
4.6%
전문대학 141
 
2.1%
특수학교 93
 
1.4%
초등학교 77
 
1.1%

Length

2023-12-12T23:15:15.136678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:15:15.283366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유치원 3408
49.5%
법인 1197
 
17.4%
고등학교 997
 
14.5%
중학교 650
 
9.5%
대학교 315
 
4.6%
전문대학 141
 
2.1%
특수학교 93
 
1.4%
초등학교 77
 
1.1%

지역
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size53.9 KiB
경기
1412 
서울
1195 
경북
561 
경남
524 
부산
497 
Other values (12)
2689 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기 1412
20.5%
서울 1195
17.4%
경북 561
 
8.2%
경남 524
 
7.6%
부산 497
 
7.2%
대구 392
 
5.7%
전북 355
 
5.2%
인천 315
 
4.6%
충남 285
 
4.1%
광주 282
 
4.1%
Other values (7) 1060
15.4%

Length

2023-12-12T23:15:15.410310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기 1412
20.5%
서울 1195
17.4%
경북 561
 
8.2%
경남 524
 
7.6%
부산 497
 
7.2%
대구 392
 
5.7%
전북 355
 
5.2%
인천 315
 
4.6%
충남 285
 
4.1%
광주 282
 
4.1%
Other values (7) 1060
15.4%

주소
Text

Distinct6305
Distinct (%)91.7%
Missing1
Missing (%)< 0.1%
Memory size53.9 KiB
2023-12-12T23:15:15.774250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length108
Median length57
Mean length26.039843
Min length3

Characters and Unicode

Total characters179076
Distinct characters616
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5814 ?
Unique (%)84.5%

Sample

1st row서울특별시 노원구 덕릉로 780단지내 동화나라유치원
2nd row서울특별시 양천구 신정로 290(신정동)(신정동)
3rd row서울특별시 양천구 목동서로2길 22(목동, 한신청구아파트)
4th row서울특별시 종로구 필운대로1길 34배화유치원(필운동, 배화여자대학)
5th row서울특별시 중랑구 신내로 110(신내동, 동성아파트 동성유치원)
ValueCountFrequency (%)
경기도 1419
 
4.4%
서울특별시 1193
 
3.7%
경상북도 551
 
1.7%
경상남도 519
 
1.6%
부산광역시 499
 
1.5%
대구광역시 387
 
1.2%
전라북도 352
 
1.1%
인천광역시 295
 
0.9%
북구 291
 
0.9%
광주광역시 281
 
0.9%
Other values (11886) 26639
82.2%
2023-12-12T23:15:16.349622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25644
 
14.3%
시 6588
 
3.7%
로 5808
 
3.2%
동 5421
 
3.0%
1 5405
 
3.0%
구 5015
 
2.8%
도 4159
 
2.3%
( 3640
 
2.0%
2 3640
 
2.0%
) 3633
 
2.0%
Other values (606) 110123
61.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 118148
66.0%
Space Separator 25660
 
14.3%
Decimal Number 25318
 
14.1%
Open Punctuation 3640
 
2.0%
Close Punctuation 3633
 
2.0%
Dash Punctuation 1476
 
0.8%
Other Punctuation 1141
 
0.6%
Uppercase Letter 52
 
< 0.1%
Lowercase Letter 5
 
< 0.1%
Letter Number 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 6588
 
5.6%
로 5808
 
4.9%
동 5421
 
4.6%
구 5015
 
4.2%
도 4159
 
3.5%
길 3548
 
3.0%
경 2967
 
2.5%
대 2704
 
2.3%
광 2662
 
2.3%
산 2585
 
2.2%
Other values (566) 76691
64.9%
Uppercase Letter
ValueCountFrequency (%)
L 8
15.4%
A 8
15.4%
T 5
9.6%
S 5
9.6%
I 4
7.7%
C 4
7.7%
H 4
7.7%
B 3
 
5.8%
K 3
 
5.8%
G 2
 
3.8%
Other values (5) 6
11.5%
Decimal Number
ValueCountFrequency (%)
1 5405
21.3%
2 3640
14.4%
3 2970
11.7%
4 2316
9.1%
5 2204
8.7%
6 1986
 
7.8%
7 1885
 
7.4%
0 1860
 
7.3%
9 1533
 
6.1%
8 1519
 
6.0%
Other Punctuation
ValueCountFrequency (%)
, 1081
94.7%
. 49
 
4.3%
/ 5
 
0.4%
· 4
 
0.4%
' 1
 
0.1%
@ 1
 
0.1%
Letter Number
ValueCountFrequency (%)
Ⅳ 1
33.3%
Ⅵ 1
33.3%
Ⅶ 1
33.3%
Space Separator
ValueCountFrequency (%)
25644
99.9%
　 16
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 3640
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3633
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1476
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 118148
66.0%
Common 60868
34.0%
Latin 60
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 6588
 
5.6%
로 5808
 
4.9%
동 5421
 
4.6%
구 5015
 
4.2%
도 4159
 
3.5%
길 3548
 
3.0%
경 2967
 
2.5%
대 2704
 
2.3%
광 2662
 
2.3%
산 2585
 
2.2%
Other values (566) 76691
64.9%
Common
ValueCountFrequency (%)
25644
42.1%
1 5405
 
8.9%
( 3640
 
6.0%
2 3640
 
6.0%
) 3633
 
6.0%
3 2970
 
4.9%
4 2316
 
3.8%
5 2204
 
3.6%
6 1986
 
3.3%
7 1885
 
3.1%
Other values (11) 7545
 
12.4%
Latin
ValueCountFrequency (%)
L 8
13.3%
A 8
13.3%
T 5
8.3%
e 5
8.3%
S 5
8.3%
I 4
 
6.7%
C 4
 
6.7%
H 4
 
6.7%
B 3
 
5.0%
K 3
 
5.0%
Other values (9) 11
18.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 118148
66.0%
ASCII 60905
34.0%
None 20
 
< 0.1%
Number Forms 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25644
42.1%
1 5405
 
8.9%
( 3640
 
6.0%
2 3640
 
6.0%
) 3633
 
6.0%
3 2970
 
4.9%
4 2316
 
3.8%
5 2204
 
3.6%
6 1986
 
3.3%
7 1885
 
3.1%
Other values (25) 7582
 
12.4%
Hangul
ValueCountFrequency (%)
시 6588
 
5.6%
로 5808
 
4.9%
동 5421
 
4.6%
구 5015
 
4.2%
도 4159
 
3.5%
길 3548
 
3.0%
경 2967
 
2.5%
대 2704
 
2.3%
광 2662
 
2.3%
산 2585
 
2.2%
Other values (566) 76691
64.9%
None
ValueCountFrequency (%)
　 16
80.0%
· 4
 
20.0%
Number Forms
ValueCountFrequency (%)
Ⅳ 1
33.3%
Ⅵ 1
33.3%
Ⅶ 1
33.3%

X좌표
Real number (ℝ)

HIGH CORRELATION 

Distinct5363
Distinct (%)78.0%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean127.58095
Minimum124.68859
Maximum130.90542
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size60.6 KiB
2023-12-12T23:15:16.555621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum124.68859
5-th percentile126.66522
Q1126.91582
median127.12315
Q3128.51221
95-th percentile129.1635
Maximum130.90542
Range6.2168378
Interquartile range (IQR)1.5963857

Descriptive statistics

Standard deviation0.88225302
Coefficient of variation (CV)0.0069152411
Kurtosis-0.96298723
Mean127.58095
Median Absolute Deviation (MAD)0.33804465
Skewness0.72692186
Sum877246.6
Variance0.77837039
MonotonicityNot monotonic
2023-12-12T23:15:16.713360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.922346 9
 
0.1%
126.8732643 9
 
0.1%
127.0548858 8
 
0.1%
127.025134 8
 
0.1%
126.868096 6
 
0.1%
127.0625301 6
 
0.1%
126.9158238 6
 
0.1%
128.575077 6
 
0.1%
129.0981953 5
 
0.1%
127.0324321 5
 
0.1%
Other values (5353) 6808
99.0%
ValueCountFrequency (%)
124.6885854 1
< 0.1%
126.1711066 2
< 0.1%
126.2580609 2
< 0.1%
126.2628029 1
< 0.1%
126.263338 1
< 0.1%
126.2662428 1
< 0.1%
126.2670905 1
< 0.1%
126.2767759 1
< 0.1%
126.2798085 2
< 0.1%
126.2892589 2
< 0.1%
ValueCountFrequency (%)
130.9054232 1
 
< 0.1%
129.4927916 1
 
< 0.1%
129.4923798 1
 
< 0.1%
129.4584008 1
 
< 0.1%
129.4443222 1
 
< 0.1%
129.4399708 3
< 0.1%
129.4330082 1
 
< 0.1%
129.4314385 1
 
< 0.1%
129.430894 1
 
< 0.1%
129.4290382 1
 
< 0.1%

Y좌표
Real number (ℝ)

HIGH CORRELATION 

Distinct5365
Distinct (%)78.0%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean36.496032
Minimum33.250146
Maximum38.206802
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size60.6 KiB
2023-12-12T23:15:16.876980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.250146
5-th percentile35.014286
Q135.562567
median36.626924
Q337.491568
95-th percentile37.664501
Maximum38.206802
Range4.9566557
Interquartile range (IQR)1.9290006

Descriptive statistics

Standard deviation1.0224337
Coefficient of variation (CV)0.028014926
Kurtosis-1.1014562
Mean36.496032
Median Absolute Deviation (MAD)0.87780205
Skewness-0.368658
Sum250946.72
Variance1.0453706
MonotonicityNot monotonic
2023-12-12T23:15:17.024448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.16943979 9
 
0.1%
35.10818612 9
 
0.1%
37.59395157 8
 
0.1%
37.74612811 8
 
0.1%
35.17499395 6
 
0.1%
37.66524853 6
 
0.1%
37.45193359 6
 
0.1%
35.85594776 6
 
0.1%
35.24704552 5
 
0.1%
37.65335548 5
 
0.1%
Other values (5355) 6808
99.0%
ValueCountFrequency (%)
33.25014612 1
< 0.1%
33.25291467 1
< 0.1%
33.25313645 1
< 0.1%
33.25435996 2
< 0.1%
33.25990017 1
< 0.1%
33.27652388 2
< 0.1%
33.2816922 1
< 0.1%
33.41732026 1
< 0.1%
33.4427726 2
< 0.1%
33.44747509 2
< 0.1%
ValueCountFrequency (%)
38.20680177 1
 
< 0.1%
38.19217567 1
 
< 0.1%
38.11982846 2
< 0.1%
38.07308657 1
 
< 0.1%
38.0314348 1
 
< 0.1%
38.02499541 1
 
< 0.1%
37.96628078 1
 
< 0.1%
37.96194791 1
 
< 0.1%
37.94588117 1
 
< 0.1%
37.94557948 3
< 0.1%

Interactions

2023-12-12T23:15:12.630919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:15:11.789271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:15:12.237585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:15:12.762110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:15:11.948590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:15:12.366733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:15:12.892542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:15:12.082969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:15:12.492788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:15:17.116884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번학교급지역X좌표Y좌표
순번1.0000.8810.7810.4280.517
학교급0.8811.0000.2200.1080.088
지역0.7810.2201.0000.8500.931
X좌표0.4280.1080.8501.0000.615
Y좌표0.5170.0880.9310.6151.000
2023-12-12T23:15:17.213015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역학교급
지역1.0000.094
학교급0.0941.000
2023-12-12T23:15:17.323110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번X좌표Y좌표학교급지역
순번1.0000.062-0.1820.6860.447
X좌표0.0621.000-0.4380.0360.570
Y좌표-0.182-0.4381.0000.0430.726
학교급0.6860.0360.0431.0000.094
지역0.4470.5700.7260.0941.000

Missing values

2023-12-12T23:15:13.350162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:15:13.527872image/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.
2023-12-12T23:15:13.667076image/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

순번기관명학교급지역주소X좌표Y좌표
01동화나라유치원유치원서울서울특별시 노원구 덕릉로 780단지내 동화나라유치원127.07912937.666695
12신예유치원유치원서울서울특별시 양천구 신정로 290(신정동)(신정동)126.85345237.512319
23해림유치원유치원서울서울특별시 양천구 목동서로2길 22(목동, 한신청구아파트)126.8826437.54163
34배화유치원유치원서울서울특별시 종로구 필운대로1길 34배화유치원(필운동, 배화여자대학)126.96729137.579541
45동성유치원유치원서울서울특별시 중랑구 신내로 110(신내동, 동성아파트 동성유치원)127.09629837.6098
56등대유치원유치원서울서울특별시 양천구 목동동로12길 60(신정동, 목동현대아파트)126.87779537.522131
67성심유치원유치원서울서울특별시 성동구 무학로10길 21(홍익동)127.03342337.566242
78새나유치원유치원서울서울특별시 서대문구 가재울로 43(남가좌동)(남가좌동)126.9214537.574888
89꿈동산유치원유치원서울서울특별시 강북구 한천로115길 15(번동)(번동)127.0383637.632157
910성실유치원유치원서울서울특별시 강북구 삼각산로 143-1 (수유동, 벽산아파트)(수유동, 벽산아파트)127.01955137.642653
순번기관명학교급지역주소X좌표Y좌표
68686869학교법인 성산효교육재단법인인천인천광역시 남동구 석정로 543성산효대학원대학교126.69600737.466393
68696870학교법인 산마을학원법인인천인천광역시 강화군 양도면 강화남로1002번길 73-29산마을고등학교126.42557237.686358
68706871학교법인 서원학원법인인천인천광역시 중구 자유공원로 19-1 (내동 6-2126.62488937.477076
68716872학교법인 덕신학원법인인천인천광역시 강화군 강화읍 고비고개로 45덕신고등학교126.47280437.744876
68726873학교법인 동광학원법인인천인천광역시 강화군 양도면 강화남로 704동광중학교126.42319937.66237
68736874학교법인 삼량학원법인인천인천광역시 강화군 내가면 강화서로 184삼량중고등학교126.39281437.711793
68746875학교법인 삼산승영학원법인인천인천광역시강화군삼산면삼산북로473번길51-9126.31763437.70133
68756876학교법인 주안학원법인인천인천광역시 부평구 부영로 161주안빌딩126.71584537.499498
68766877학교법인 인천하늘교육재단법인인천인천광역시중구영종대로277번길117126.50708137.495469
68776878국립대학법인인천대학교법인인천인천광역시 연수구 아카데미로 119인천대학교126.63251237.378078