Overview

Dataset statistics

Number of variables8
Number of observations1243
Missing cells4
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory82.7 KiB
Average record size in memory68.1 B

Variable types

Numeric4
Categorical1
Text3

Dataset

Description충청남도 도내 학교 현황으로 학교명, 학급수, 학생수(명), 주소, 우편번호, 연락처 순으로 데이터를 제공하고자 합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=414&beforeMenuCd=DOM_000000201001001000&publicdatapk=15047609

Alerts

연번 is highly overall correlated with 학급수 and 1 other fieldsHigh correlation
학급수 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
학생수(명) is highly overall correlated with 학급수High correlation
구분 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2024-01-09 20:35:14.173718
Analysis finished2024-01-09 20:35:16.209089
Duration2.04 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1243
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean622
Minimum1
Maximum1243
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-01-10T05:35:16.287372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile63.1
Q1311.5
median622
Q3932.5
95-th percentile1180.9
Maximum1243
Range1242
Interquartile range (IQR)621

Descriptive statistics

Standard deviation358.9675
Coefficient of variation (CV)0.57711817
Kurtosis-1.2
Mean622
Median Absolute Deviation (MAD)311
Skewness0
Sum773146
Variance128857.67
MonotonicityStrictly increasing
2024-01-10T05:35:16.438269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
828 1
 
0.1%
835 1
 
0.1%
834 1
 
0.1%
833 1
 
0.1%
832 1
 
0.1%
831 1
 
0.1%
830 1
 
0.1%
829 1
 
0.1%
827 1
 
0.1%
Other values (1233) 1233
99.2%
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 (%)
1243 1
0.1%
1242 1
0.1%
1241 1
0.1%
1240 1
0.1%
1239 1
0.1%
1238 1
0.1%
1237 1
0.1%
1236 1
0.1%
1235 1
0.1%
1234 1
0.1%

구분
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
유치원
500 
초등학교
422 
중학교
190 
고등학교
120 
특수학교
 
8

Length

Max length6
Median length3
Mean length3.4497184
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유치원 500
40.2%
초등학교 422
34.0%
중학교 190
 
15.3%
고등학교 120
 
9.7%
특수학교 8
 
0.6%
각종학교 3
 
0.2%

Length

2024-01-10T05:35:16.570408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:35:16.669460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유치원 500
40.2%
초등학교 422
34.0%
중학교 190
 
15.3%
고등학교 120
 
9.7%
특수학교 8
 
0.6%
각종학교 3
 
0.2%

학교명
Text

Distinct1231
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
2024-01-10T05:35:17.109316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length7.8720837
Min length5

Characters and Unicode

Total characters9785
Distinct characters280
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

Unique1220 ?
Unique (%)98.1%

Sample

1st row천안일봉유치원
2nd row천안도솔유치원
3rd row천안성정유치원
4th row천안버들유치원
5th row천안성성유치원
ValueCountFrequency (%)
성모유치원 3
 
0.2%
아이숲유치원 2
 
0.2%
사랑유치원 2
 
0.2%
우리유치원 2
 
0.2%
제일유치원 2
 
0.2%
아이세상유치원 2
 
0.2%
금성초등학교 2
 
0.2%
세종유치원 2
 
0.2%
늘푸른유치원 2
 
0.2%
꿈동산유치원 2
 
0.2%
Other values (1221) 1224
98.3%
2024-01-10T05:35:17.444023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 1135
 
11.6%
학 1120
 
11.4%
등 892
 
9.1%
초 778
 
8.0%
원 533
 
5.4%
유 508
 
5.2%
치 502
 
5.1%
설 361
 
3.7%
병 354
 
3.6%
중 215
 
2.2%
Other values (270) 3387
34.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9761
99.8%
Space Separator 15
 
0.2%
Uppercase Letter 4
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 1135
 
11.6%
학 1120
 
11.5%
등 892
 
9.1%
초 778
 
8.0%
원 533
 
5.5%
유 508
 
5.2%
치 502
 
5.1%
설 361
 
3.7%
병 354
 
3.6%
중 215
 
2.2%
Other values (263) 3363
34.5%
Uppercase Letter
ValueCountFrequency (%)
P 2
50.0%
O 1
25.0%
K 1
25.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9761
99.8%
Common 20
 
0.2%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 1135
 
11.6%
학 1120
 
11.5%
등 892
 
9.1%
초 778
 
8.0%
원 533
 
5.5%
유 508
 
5.2%
치 502
 
5.1%
설 361
 
3.7%
병 354
 
3.6%
중 215
 
2.2%
Other values (263) 3363
34.5%
Common
ValueCountFrequency (%)
15
75.0%
( 2
 
10.0%
) 2
 
10.0%
- 1
 
5.0%
Latin
ValueCountFrequency (%)
P 2
50.0%
O 1
25.0%
K 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9761
99.8%
ASCII 24
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 1135
 
11.6%
학 1120
 
11.5%
등 892
 
9.1%
초 778
 
8.0%
원 533
 
5.5%
유 508
 
5.2%
치 502
 
5.1%
설 361
 
3.7%
병 354
 
3.6%
중 215
 
2.2%
Other values (263) 3363
34.5%
ASCII
ValueCountFrequency (%)
15
62.5%
P 2
 
8.3%
( 2
 
8.3%
) 2
 
8.3%
O 1
 
4.2%
- 1
 
4.2%
K 1
 
4.2%

학급수
Real number (ℝ)

HIGH CORRELATION 

Distinct56
Distinct (%)4.5%
Missing2
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean10.083803
Minimum0
Maximum74
Zeros2
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-01-10T05:35:17.575808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median6
Q313
95-th percentile35
Maximum74
Range74
Interquartile range (IQR)11

Descriptive statistics

Standard deviation11.149182
Coefficient of variation (CV)1.1056525
Kurtosis3.9409886
Mean10.083803
Median Absolute Deviation (MAD)5
Skewness1.9056494
Sum12514
Variance124.30426
MonotonicityNot monotonic
2024-01-10T05:35:17.704758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 268
21.6%
6 163
13.1%
7 158
12.7%
3 83
 
6.7%
4 53
 
4.3%
2 42
 
3.4%
8 36
 
2.9%
10 31
 
2.5%
5 28
 
2.3%
12 28
 
2.3%
Other values (46) 351
28.2%
ValueCountFrequency (%)
0 2
 
0.2%
1 268
21.6%
2 42
 
3.4%
3 83
 
6.7%
4 53
 
4.3%
5 28
 
2.3%
6 163
13.1%
7 158
12.7%
8 36
 
2.9%
9 16
 
1.3%
ValueCountFrequency (%)
74 1
 
0.1%
70 1
 
0.1%
65 2
0.2%
60 1
 
0.1%
53 2
0.2%
51 1
 
0.1%
50 3
0.2%
49 2
0.2%
48 1
 
0.1%
47 1
 
0.1%

학생수(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct434
Distinct (%)35.0%
Missing2
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean218.77921
Minimum0
Maximum2217
Zeros2
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-01-10T05:35:17.841940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15
Q124
median75
Q3266
95-th percentile957
Maximum2217
Range2217
Interquartile range (IQR)242

Descriptive statistics

Standard deviation311.69061
Coefficient of variation (CV)1.4246811
Kurtosis5.4876765
Mean218.77921
Median Absolute Deviation (MAD)60
Skewness2.2307511
Sum271505
Variance97151.038
MonotonicityNot monotonic
2024-01-10T05:35:17.961491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15 184
 
14.8%
20 75
 
6.0%
60 34
 
2.7%
45 27
 
2.2%
120 21
 
1.7%
150 15
 
1.2%
43 14
 
1.1%
180 14
 
1.1%
75 11
 
0.9%
175 11
 
0.9%
Other values (424) 835
67.2%
ValueCountFrequency (%)
0 2
0.2%
2 1
 
0.1%
3 1
 
0.1%
5 3
0.2%
6 1
 
0.1%
8 2
0.2%
9 3
0.2%
10 2
0.2%
11 3
0.2%
12 1
 
0.1%
ValueCountFrequency (%)
2217 1
0.1%
2112 1
0.1%
1821 1
0.1%
1715 1
0.1%
1678 1
0.1%
1484 1
0.1%
1468 1
0.1%
1401 1
0.1%
1381 2
0.2%
1291 1
0.1%

우편번호
Real number (ℝ)

Distinct606
Distinct (%)48.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32211.151
Minimum30959
Maximum35311
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-01-10T05:35:18.107028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30959
5-th percentile31085.4
Q131474
median32166
Q332920
95-th percentile33517
Maximum35311
Range4352
Interquartile range (IQR)1446

Descriptive statistics

Standard deviation815.20836
Coefficient of variation (CV)0.025308265
Kurtosis-1.085954
Mean32211.151
Median Absolute Deviation (MAD)716
Skewness0.19209998
Sum40038461
Variance664564.67
MonotonicityNot monotonic
2024-01-10T05:35:18.230760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33411 10
 
0.8%
32292 7
 
0.6%
31156 7
 
0.6%
31771 7
 
0.6%
31184 5
 
0.4%
32280 5
 
0.4%
32954 5
 
0.4%
31457 5
 
0.4%
31055 5
 
0.4%
33430 5
 
0.4%
Other values (596) 1182
95.1%
ValueCountFrequency (%)
30959 1
 
0.1%
31000 2
0.2%
31001 2
0.2%
31005 4
0.3%
31008 2
0.2%
31014 2
0.2%
31015 2
0.2%
31017 1
 
0.1%
31019 1
 
0.1%
31027 1
 
0.1%
ValueCountFrequency (%)
35311 1
 
0.1%
33673 1
 
0.1%
33670 2
0.2%
33665 1
 
0.1%
33659 3
0.2%
33658 2
0.2%
33657 2
0.2%
33653 2
0.2%
33652 1
 
0.1%
33650 2
0.2%

주소
Text

Distinct905
Distinct (%)72.8%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
2024-01-10T05:35:18.501731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length28
Mean length19.116653
Min length12

Characters and Unicode

Total characters23762
Distinct characters284
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

Unique572 ?
Unique (%)46.0%

Sample

1st row충남 천안시 동남구 다가2길 3
2nd row충남 천안시 서북구 두정역동3길 3
3rd row충남 천안시 서북구 성정7길 3
4th row충남 천안시 서북구 불당23로 41
5th row충남 천안시 서북구 성성10길 10-4
ValueCountFrequency (%)
충남 1244
 
20.1%
천안시 251
 
4.1%
아산시 138
 
2.2%
동남구 126
 
2.0%
서북구 123
 
2.0%
서산시 95
 
1.5%
논산시 91
 
1.5%
당진시 88
 
1.4%
공주시 87
 
1.4%
보령시 84
 
1.4%
Other values (1417) 3851
62.3%
2024-01-10T05:35:18.917145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5032
21.2%
남 1454
 
6.1%
충 1295
 
5.4%
1 917
 
3.9%
시 881
 
3.7%
로 830
 
3.5%
산 665
 
2.8%
면 640
 
2.7%
2 572
 
2.4%
길 529
 
2.2%
Other values (274) 10947
46.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14282
60.1%
Space Separator 5032
 
21.2%
Decimal Number 4056
 
17.1%
Dash Punctuation 289
 
1.2%
Open Punctuation 50
 
0.2%
Close Punctuation 50
 
0.2%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 1454
 
10.2%
충 1295
 
9.1%
시 881
 
6.2%
로 830
 
5.8%
산 665
 
4.7%
면 640
 
4.5%
길 529
 
3.7%
천 449
 
3.1%
군 402
 
2.8%
안 369
 
2.6%
Other values (259) 6768
47.4%
Decimal Number
ValueCountFrequency (%)
1 917
22.6%
2 572
14.1%
3 521
12.8%
5 380
9.4%
4 328
 
8.1%
7 291
 
7.2%
6 291
 
7.2%
9 260
 
6.4%
8 248
 
6.1%
0 248
 
6.1%
Space Separator
ValueCountFrequency (%)
5032
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 289
100.0%
Open Punctuation
ValueCountFrequency (%)
( 50
100.0%
Close Punctuation
ValueCountFrequency (%)
) 50
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14282
60.1%
Common 9480
39.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 1454
 
10.2%
충 1295
 
9.1%
시 881
 
6.2%
로 830
 
5.8%
산 665
 
4.7%
면 640
 
4.5%
길 529
 
3.7%
천 449
 
3.1%
군 402
 
2.8%
안 369
 
2.6%
Other values (259) 6768
47.4%
Common
ValueCountFrequency (%)
5032
53.1%
1 917
 
9.7%
2 572
 
6.0%
3 521
 
5.5%
5 380
 
4.0%
4 328
 
3.5%
7 291
 
3.1%
6 291
 
3.1%
- 289
 
3.0%
9 260
 
2.7%
Other values (5) 599
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14282
60.1%
ASCII 9480
39.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5032
53.1%
1 917
 
9.7%
2 572
 
6.0%
3 521
 
5.5%
5 380
 
4.0%
4 328
 
3.5%
7 291
 
3.1%
6 291
 
3.1%
- 289
 
3.0%
9 260
 
2.7%
Other values (5) 599
 
6.3%
Hangul
ValueCountFrequency (%)
남 1454
 
10.2%
충 1295
 
9.1%
시 881
 
6.2%
로 830
 
5.8%
산 665
 
4.7%
면 640
 
4.5%
길 529
 
3.7%
천 449
 
3.1%
군 402
 
2.8%
안 369
 
2.6%
Other values (259) 6768
47.4%

연락처
Text

Distinct1166
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
2024-01-10T05:35:19.200269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.002414
Min length12

Characters and Unicode

Total characters14919
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1090 ?
Unique (%)87.7%

Sample

1st row041-577-1923
2nd row041-522-9791
3rd row041-571-1057
4th row041-906-7771
5th row041-564-1832
ValueCountFrequency (%)
041-632-2629 3
 
0.2%
041-753-1016 2
 
0.2%
041-688-1592 2
 
0.2%
041-854-3927 2
 
0.2%
041-584-5077 2
 
0.2%
041-832-6390 2
 
0.2%
041-664-4512 2
 
0.2%
041-584-0015 2
 
0.2%
041-834-3346 2
 
0.2%
041-834-6078 2
 
0.2%
Other values (1156) 1222
98.3%
2024-01-10T05:35:19.527165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2486
16.7%
0 2123
14.2%
1 1999
13.4%
4 1984
13.3%
3 1211
8.1%
5 1174
7.9%
6 934
 
6.3%
2 908
 
6.1%
7 782
 
5.2%
8 686
 
4.6%
Other values (2) 632
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12432
83.3%
Dash Punctuation 2486
 
16.7%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2123
17.1%
1 1999
16.1%
4 1984
16.0%
3 1211
9.7%
5 1174
9.4%
6 934
7.5%
2 908
7.3%
7 782
 
6.3%
8 686
 
5.5%
9 631
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 2486
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14919
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2486
16.7%
0 2123
14.2%
1 1999
13.4%
4 1984
13.3%
3 1211
8.1%
5 1174
7.9%
6 934
 
6.3%
2 908
 
6.1%
7 782
 
5.2%
8 686
 
4.6%
Other values (2) 632
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14919
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2486
16.7%
0 2123
14.2%
1 1999
13.4%
4 1984
13.3%
3 1211
8.1%
5 1174
7.9%
6 934
 
6.3%
2 908
 
6.1%
7 782
 
5.2%
8 686
 
4.6%
Other values (2) 632
 
4.2%

Interactions

2024-01-10T05:35:15.568850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:35:14.597283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:35:14.895319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:35:15.250224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:35:15.651321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:35:14.672985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:35:14.979569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:35:15.338883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:35:15.734317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:35:14.750829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:35:15.068290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:35:15.423258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:35:15.806457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:35:14.822453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:35:15.164297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:35:15.493060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T05:35:19.620187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분학급수학생수(명)우편번호
연번1.0000.8860.5520.4820.623
구분0.8861.0000.4460.3840.000
학급수0.5520.4461.0000.9750.217
학생수(명)0.4820.3840.9751.0000.232
우편번호0.6230.0000.2170.2321.000
2024-01-10T05:35:19.708530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번학급수학생수(명)우편번호구분
연번1.0000.5240.3900.2000.729
학급수0.5241.0000.924-0.2420.253
학생수(명)0.3900.9241.000-0.3340.213
우편번호0.200-0.242-0.3341.0000.000
구분0.7290.2530.2130.0001.000

Missing values

2024-01-10T05:35:15.912744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T05:35:16.057549image/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.
2024-01-10T05:35:16.158584image/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

연번구분학교명학급수학생수(명)우편번호주소연락처
01유치원천안일봉유치원813531154충남 천안시 동남구 다가2길 3041-577-1923
12유치원천안도솔유치원1112031111충남 천안시 서북구 두정역동3길 3041-522-9791
23유치원천안성정유치원712031141충남 천안시 서북구 성정7길 3041-571-1057
34유치원천안버들유치원1324031156충남 천안시 서북구 불당23로 41041-906-7771
45유치원천안성성유치원1218031079충남 천안시 서북구 성성10길 10-4041-564-1832
56유치원천안불당유치원1424031156충남 천안시 서북구 불당27로 12041-567-1571
67유치원신관유치원512532576충남 공주시 번영1로 97-9041-853-9935
78유치원명천유치원710533481충남 보령시 주공로 119041-931-8862
89유치원보령창미유치원610533447충남 보령시 주교면 토정로 218041-931-9534
910유치원온양동신유치원814531526충남 아산시 번영로 234번길52041-548-3345
연번구분학교명학급수학생수(명)우편번호주소연락처
12331234특수학교천안인애학교4020631048충남 천안시 성거읍 봉주로 229041-583-0868
12341235특수학교서산성봉학교3619031929충남 서산시 성연면 명천1길 181-16041-669-2263
12351236특수학교아산성심학교3418831546충남 아산시 선장면 아산만로 368041-541-0101
12361237특수학교성광온누리학교2210632928충남 논산시 성동면 병촌길 89041-736-4800
12371238특수학교천안늘해랑학교117631256충남 천안시 동남구 병천면 유관순길 86041-554-2501
12381239특수학교나사렛새꿈학교3114031172충남 천안시 서북구 월봉로 48041-579-1298
12391240특수학교보령정심학교188133447충남 보령시 주교면 보령북로 404041-932-7452
12401241각종학교여해학교3831451충남 아산시 염치읍 현충사길 93041-539-5452
12411242각종학교충남다사랑학교34531409충남 아산시 둔포면 아산밸리동로 247041-427-3500
12421243각종학교드림학교32631071충남 천안시 동남구 충절로 535-31(고려신학대학원 내)041-563-1934