Overview

Dataset statistics

Number of variables8
Number of observations1245
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory82.8 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://www.data.go.kr/data/15047609/fileData.do

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
학급수 has 20 (1.6%) zerosZeros
학생수(명) has 19 (1.5%) zerosZeros

Reproduction

Analysis started2024-03-14 08:48:10.683570
Analysis finished2024-03-14 08:48:16.204377
Duration5.52 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1245
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean623
Minimum1
Maximum1245
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-03-14T17:48:16.413840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile63.2
Q1312
median623
Q3934
95-th percentile1182.8
Maximum1245
Range1244
Interquartile range (IQR)622

Descriptive statistics

Standard deviation359.54485
Coefficient of variation (CV)0.57711854
Kurtosis-1.2
Mean623
Median Absolute Deviation (MAD)311
Skewness0
Sum775635
Variance129272.5
MonotonicityStrictly increasing
2024-03-14T17:48:16.866465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
829 1
 
0.1%
836 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%
828 1
 
0.1%
Other values (1235) 1235
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 (%)
1245 1
0.1%
1244 1
0.1%
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%

구분
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
유치원
500 
초등학교
423 
중학교
189 
고등학교
120 
특수학교
 
10

Length

Max length6
Median length3
Mean length3.4514056
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 423
34.0%
중학교 189
 
15.2%
고등학교 120
 
9.6%
특수학교 10
 
0.8%
각종학교 3
 
0.2%

Length

2024-03-14T17:48:17.309770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:48:17.662294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유치원 500
40.2%
초등학교 423
34.0%
중학교 189
 
15.2%
고등학교 120
 
9.6%
특수학교 10
 
0.8%
각종학교 3
 
0.2%

학교명
Text

Distinct1232
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
2024-03-14T17:48:18.459882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length7.886747
Min length5

Characters and Unicode

Total characters9819
Distinct characters283
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 (%)98.0%

Sample

1st row천안초등학교병설유치원
2nd row천안중앙초등학교병설유치원
3rd row천안남산초등학교병설유치원
4th row환서초등학교병설유치원
5th row천안부대초등학교병설유치원
ValueCountFrequency (%)
성모유치원 3
 
0.2%
제일유치원 2
 
0.2%
자연유치원 2
 
0.2%
금성초등학교 2
 
0.2%
프라임유치원 2
 
0.2%
아이세상유치원 2
 
0.2%
늘푸른유치원 2
 
0.2%
세종유치원 2
 
0.2%
사랑유치원 2
 
0.2%
아이숲유치원 2
 
0.2%
Other values (1225) 1227
98.3%
2024-03-14T17:48:19.482291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 1137
 
11.6%
학 1124
 
11.4%
등 895
 
9.1%
초 781
 
8.0%
원 532
 
5.4%
유 509
 
5.2%
치 503
 
5.1%
설 363
 
3.7%
병 356
 
3.6%
중 214
 
2.2%
Other values (273) 3405
34.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9798
99.8%
Space Separator 10
 
0.1%
Uppercase Letter 4
 
< 0.1%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 1137
 
11.6%
학 1124
 
11.5%
등 895
 
9.1%
초 781
 
8.0%
원 532
 
5.4%
유 509
 
5.2%
치 503
 
5.1%
설 363
 
3.7%
병 356
 
3.6%
중 214
 
2.2%
Other values (266) 3384
34.5%
Uppercase Letter
ValueCountFrequency (%)
P 2
50.0%
O 1
25.0%
K 1
25.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9798
99.8%
Common 17
 
0.2%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 1137
 
11.6%
학 1124
 
11.5%
등 895
 
9.1%
초 781
 
8.0%
원 532
 
5.4%
유 509
 
5.2%
치 503
 
5.1%
설 363
 
3.7%
병 356
 
3.6%
중 214
 
2.2%
Other values (266) 3384
34.5%
Common
ValueCountFrequency (%)
10
58.8%
( 3
 
17.6%
) 3
 
17.6%
- 1
 
5.9%
Latin
ValueCountFrequency (%)
P 2
50.0%
O 1
25.0%
K 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9798
99.8%
ASCII 21
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 1137
 
11.6%
학 1124
 
11.5%
등 895
 
9.1%
초 781
 
8.0%
원 532
 
5.4%
유 509
 
5.2%
치 503
 
5.1%
설 363
 
3.7%
병 356
 
3.6%
중 214
 
2.2%
Other values (266) 3384
34.5%
ASCII
ValueCountFrequency (%)
10
47.6%
( 3
 
14.3%
) 3
 
14.3%
P 2
 
9.5%
- 1
 
4.8%
O 1
 
4.8%
K 1
 
4.8%

학급수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct60
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.33012
Minimum0
Maximum81
Zeros20
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-03-14T17:48:19.726332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median6
Q313
95-th percentile36
Maximum81
Range81
Interquartile range (IQR)11

Descriptive statistics

Standard deviation11.819629
Coefficient of variation (CV)1.1441908
Kurtosis4.8290998
Mean10.33012
Median Absolute Deviation (MAD)5
Skewness2.0244337
Sum12861
Variance139.70363
MonotonicityNot monotonic
2024-03-14T17:48:20.202088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 264
21.2%
6 159
12.8%
7 147
 
11.8%
3 84
 
6.7%
4 54
 
4.3%
2 36
 
2.9%
8 34
 
2.7%
5 33
 
2.7%
12 29
 
2.3%
10 26
 
2.1%
Other values (50) 379
30.4%
ValueCountFrequency (%)
0 20
 
1.6%
1 264
21.2%
2 36
 
2.9%
3 84
 
6.7%
4 54
 
4.3%
5 33
 
2.7%
6 159
12.8%
7 147
11.8%
8 34
 
2.7%
9 18
 
1.4%
ValueCountFrequency (%)
81 1
 
0.1%
75 1
 
0.1%
74 1
 
0.1%
71 1
 
0.1%
68 1
 
0.1%
65 1
 
0.1%
62 1
 
0.1%
57 2
0.2%
51 3
0.2%
50 2
0.2%

학생수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct468
Distinct (%)37.6%
Missing1
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean209.61415
Minimum0
Maximum2358
Zeros19
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-03-14T17:48:20.626577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q118
median65
Q3243.75
95-th percentile939.65
Maximum2358
Range2358
Interquartile range (IQR)225.75

Descriptive statistics

Standard deviation319.55751
Coefficient of variation (CV)1.5245036
Kurtosis6.6977476
Mean209.61415
Median Absolute Deviation (MAD)59
Skewness2.3819109
Sum260760
Variance102117
MonotonicityNot monotonic
2024-03-14T17:48:21.043807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 43
 
3.5%
3 38
 
3.1%
4 35
 
2.8%
6 28
 
2.2%
8 27
 
2.2%
10 21
 
1.7%
7 19
 
1.5%
0 19
 
1.5%
57 16
 
1.3%
9 12
 
1.0%
Other values (458) 986
79.2%
ValueCountFrequency (%)
0 19
1.5%
1 1
 
0.1%
2 12
 
1.0%
3 38
3.1%
4 35
2.8%
5 43
3.5%
6 28
2.2%
7 19
1.5%
8 27
2.2%
9 12
 
1.0%
ValueCountFrequency (%)
2358 1
0.1%
2301 1
0.1%
2027 1
0.1%
1834 1
0.1%
1786 1
0.1%
1593 1
0.1%
1500 1
0.1%
1386 1
0.1%
1384 1
0.1%
1343 1
0.1%

우편번호
Real number (ℝ)

Distinct607
Distinct (%)48.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32206.699
Minimum30959
Maximum35311
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-03-14T17:48:21.456906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30959
5-th percentile31089
Q131474
median32162
Q332916
95-th percentile33517
Maximum35311
Range4352
Interquartile range (IQR)1442

Descriptive statistics

Standard deviation811.48641
Coefficient of variation (CV)0.025196199
Kurtosis-1.0684878
Mean32206.699
Median Absolute Deviation (MAD)705
Skewness0.20777641
Sum40097340
Variance658510.19
MonotonicityNot monotonic
2024-03-14T17:48:21.883636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33411 10
 
0.8%
31156 8
 
0.6%
32292 7
 
0.6%
31771 7
 
0.6%
33430 5
 
0.4%
31166 5
 
0.4%
32280 5
 
0.4%
32801 5
 
0.4%
31233 5
 
0.4%
31184 5
 
0.4%
Other values (597) 1183
95.0%
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

Distinct906
Distinct (%)72.8%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
2024-03-14T17:48:23.367757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length27
Mean length18.684337
Min length10

Characters and Unicode

Total characters23262
Distinct characters283
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

Unique573 ?
Unique (%)46.0%

Sample

1st row충남 천안시 동남구 중앙로 169
2nd row충남 천안시 동남구 영성로 73
3rd row충남 천안시 동남구 버들1길30
4th row충남 천안시 서북구 한들2로 34-41
5th row충남 천안시 서북구 공대길 37
ValueCountFrequency (%)
충남 1089
 
18.1%
천안시 250
 
4.1%
아산시 143
 
2.4%
동남구 125
 
2.1%
서북구 123
 
2.0%
서산시 96
 
1.6%
논산시 93
 
1.5%
당진시 91
 
1.5%
공주시 87
 
1.4%
보령시 84
 
1.4%
Other values (1415) 3848
63.8%
2024-03-14T17:48:25.266126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4842
20.8%
남 1298
 
5.6%
충 1141
 
4.9%
1 919
 
4.0%
시 891
 
3.8%
로 834
 
3.6%
산 670
 
2.9%
면 641
 
2.8%
2 560
 
2.4%
길 529
 
2.3%
Other values (273) 10937
47.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13987
60.1%
Space Separator 4842
 
20.8%
Decimal Number 4050
 
17.4%
Dash Punctuation 280
 
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 1298
 
9.3%
충 1141
 
8.2%
시 891
 
6.4%
로 834
 
6.0%
산 670
 
4.8%
면 641
 
4.6%
길 529
 
3.8%
천 450
 
3.2%
군 396
 
2.8%
안 366
 
2.6%
Other values (258) 6771
48.4%
Decimal Number
ValueCountFrequency (%)
1 919
22.7%
2 560
13.8%
3 521
12.9%
5 378
9.3%
4 331
 
8.2%
7 293
 
7.2%
6 289
 
7.1%
9 262
 
6.5%
0 252
 
6.2%
8 245
 
6.0%
Space Separator
ValueCountFrequency (%)
4842
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 280
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 13987
60.1%
Common 9275
39.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 1298
 
9.3%
충 1141
 
8.2%
시 891
 
6.4%
로 834
 
6.0%
산 670
 
4.8%
면 641
 
4.6%
길 529
 
3.8%
천 450
 
3.2%
군 396
 
2.8%
안 366
 
2.6%
Other values (258) 6771
48.4%
Common
ValueCountFrequency (%)
4842
52.2%
1 919
 
9.9%
2 560
 
6.0%
3 521
 
5.6%
5 378
 
4.1%
4 331
 
3.6%
7 293
 
3.2%
6 289
 
3.1%
- 280
 
3.0%
9 262
 
2.8%
Other values (5) 600
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13987
60.1%
ASCII 9275
39.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4842
52.2%
1 919
 
9.9%
2 560
 
6.0%
3 521
 
5.6%
5 378
 
4.1%
4 331
 
3.6%
7 293
 
3.2%
6 289
 
3.1%
- 280
 
3.0%
9 262
 
2.8%
Other values (5) 600
 
6.5%
Hangul
ValueCountFrequency (%)
남 1298
 
9.3%
충 1141
 
8.2%
시 891
 
6.4%
로 834
 
6.0%
산 670
 
4.8%
면 641
 
4.6%
길 529
 
3.8%
천 450
 
3.2%
군 396
 
2.8%
안 366
 
2.6%
Other values (258) 6771
48.4%

연락처
Text

Distinct1180
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
2024-03-14T17:48:26.308998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.012048
Min length12

Characters and Unicode

Total characters14955
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1115 ?
Unique (%)89.6%

Sample

1st row041-563-9807
2nd row041-552-3559
3rd row041-556-2910
4th row041-551-8380
5th row041-551-2461
ValueCountFrequency (%)
041-632-2629 2
 
0.2%
041-671-5000 2
 
0.2%
041-584-0015 2
 
0.2%
041-834-3346 2
 
0.2%
041-551-5804 2
 
0.2%
041-413-3502 2
 
0.2%
041-584-5077 2
 
0.2%
041-542-0029 2
 
0.2%
041-753-1016 2
 
0.2%
041-745-0678 2
 
0.2%
Other values (1172) 1227
98.4%
2024-03-14T17:48:27.503963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2488
16.6%
0 2140
14.3%
1 2001
13.4%
4 1996
13.3%
3 1217
8.1%
5 1168
7.8%
6 928
 
6.2%
2 908
 
6.1%
7 778
 
5.2%
8 683
 
4.6%
Other values (3) 648
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12454
83.3%
Dash Punctuation 2488
 
16.6%
Space Separator 11
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2140
17.2%
1 2001
16.1%
4 1996
16.0%
3 1217
9.8%
5 1168
9.4%
6 928
7.5%
2 908
7.3%
7 778
 
6.2%
8 683
 
5.5%
9 635
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 2488
100.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14955
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2488
16.6%
0 2140
14.3%
1 2001
13.4%
4 1996
13.3%
3 1217
8.1%
5 1168
7.8%
6 928
 
6.2%
2 908
 
6.1%
7 778
 
5.2%
8 683
 
4.6%
Other values (3) 648
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14955
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2488
16.6%
0 2140
14.3%
1 2001
13.4%
4 1996
13.3%
3 1217
8.1%
5 1168
7.8%
6 928
 
6.2%
2 908
 
6.1%
7 778
 
5.2%
8 683
 
4.6%
Other values (3) 648
 
4.3%

Interactions

2024-03-14T17:48:14.498726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:48:11.340565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:48:12.395876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:48:13.477018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:48:14.760419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:48:11.605459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:48:12.668412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:48:13.734586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:48:15.032742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:48:11.883870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:48:12.951392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:48:14.005398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:48:15.282471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:48:12.139914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:48:13.209826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:48:14.250201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T17:48:27.665079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분학급수학생수(명)우편번호
연번1.0000.8850.5600.4850.642
구분0.8851.0000.4630.4060.000
학급수0.5600.4631.0000.9630.220
학생수(명)0.4850.4060.9631.0000.211
우편번호0.6420.0000.2200.2111.000
2024-03-14T17:48:27.947064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번학급수학생수(명)우편번호구분
연번1.0000.5560.4830.2050.726
학급수0.5561.0000.945-0.2410.265
학생수(명)0.4830.9451.000-0.3170.227
우편번호0.205-0.241-0.3171.0000.000
구분0.7260.2650.2270.0001.000

Missing values

2024-03-14T17:48:15.628148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T17:48:16.044060image/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

연번구분학교명학급수학생수(명)우편번호주소연락처
01유치원천안초등학교병설유치원11531122충남 천안시 동남구 중앙로 169041-563-9807
12유치원천안중앙초등학교병설유치원1631129충남 천안시 동남구 영성로 73041-552-3559
23유치원천안남산초등학교병설유치원23131132충남 천안시 동남구 버들1길30041-556-2910
34유치원환서초등학교병설유치원1731097충남 천안시 서북구 한들2로 34-41041-551-8380
45유치원천안부대초등학교병설유치원11431080충남 천안시 서북구 공대길 37041-551-2461
56유치원천안업성초등학교병설유치원11131076충남 천안시 서북구 업성 5길 20041-583-3687
67유치원천안청수초등학교병설유치원65131190충남 천안시 동남구 청수로 35-3041-551-6700
78유치원천안신안초등학교병설유치원35731125충남 천안시 동남구 원성25길 21041-622-7605
89유치원안서초등학교병설유치원11231066충남 천안시 동남구 중앙3길 10041-551-4530
910유치원천안봉명초등학교병설유치원32031151충남 천안시 동남구 봉명2길 11041-576-3236
연번구분학교명학급수학생수(명)우편번호주소연락처
12351236특수학교아산성심학교3619131546충남 아산시 선장면 아산만로 368041-541-8790
12361237특수학교성광온누리학교2613332928충남 논산시 성동면 병촌길 89041-981-0003
12371238특수학교천안늘해랑학교148531256충남 천안시 동남구 병천면 유관순길 86041-417-2500
12381239특수학교당진꿈나래학교2212031811충남 당진시 합덕읍 면천로 1590041-539-1000
12391240특수학교예산꿈빛학교218532411충남 예산군 봉산면 하평1길 38070-4858-5754
12401241특수학교나사렛새꿈학교2912731172충남 천안시 서북구 월봉로 48041-579-1296
12411242특수학교보령정심학교166933447충남 보령시 주교면 보령북로 404041-931-1715
12421243각종학교여해학교3631451충남 아산시 염치읍 현충사길 93041-539-5452
12431244각종학교충남다사랑학교31931409충남 아산시 둔포면 아산밸리동로 247041-427-3500
12441245각종학교드림학교32231071충남 천안시 동남구 충절로 535-31(고려신학대학원 내)041-563-1934