Overview

Dataset statistics

Number of variables11
Number of observations1798
Missing cells0
Missing cells (%)0.0%
Duplicate rows372
Duplicate rows (%)20.7%
Total size in memory172.2 KiB
Average record size in memory98.1 B

Variable types

Numeric7
Categorical4

Dataset

Description특수학교 학급수 집계현황
Author경기복지재단(경기도장애인복지종합지원센터)
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=144GVJ1EK4QN4DFP198025236475&infSeq=1

Alerts

Dataset has 372 (20.7%) duplicate rowsDuplicates
총학급수(개) is highly overall correlated with 유치원학급수(개) and 5 other fieldsHigh correlation
유치원학급수(개) is highly overall correlated with 총학급수(개) and 7 other fieldsHigh correlation
초등학교학급수(개) is highly overall correlated with 총학급수(개) and 5 other fieldsHigh correlation
중학교학급수(개) is highly overall correlated with 총학급수(개) and 5 other fieldsHigh correlation
고등학교학급수(개) is highly overall correlated with 총학급수(개) and 5 other fieldsHigh correlation
전공과학급수(개) is highly overall correlated with 총학급수(개) and 5 other fieldsHigh correlation
시군명 is highly overall correlated with 총학급수(개) and 7 other fieldsHigh correlation
영아학급수(개) is highly overall correlated with 유치원학급수(개) and 1 other fieldsHigh correlation
장애영아포함유치원학급수(전체 학급 수 중 기타)(개) is highly overall correlated with 유치원학급수(개)High correlation
순회파견병원학급수(전체 학급 수 중 기타)(개) is highly overall correlated with 시군명High correlation
영아학급수(개) is highly imbalanced (77.0%)Imbalance
장애영아포함유치원학급수(전체 학급 수 중 기타)(개) is highly imbalanced (82.1%)Imbalance
순회파견병원학급수(전체 학급 수 중 기타)(개) is highly imbalanced (57.4%)Imbalance
총학급수(개) has 706 (39.3%) zerosZeros
유치원학급수(개) has 776 (43.2%) zerosZeros
초등학교학급수(개) has 770 (42.8%) zerosZeros
중학교학급수(개) has 724 (40.3%) zerosZeros
고등학교학급수(개) has 724 (40.3%) zerosZeros
전공과학급수(개) has 785 (43.7%) zerosZeros

Reproduction

Analysis started2024-04-11 02:13:05.617314
Analysis finished2024-04-11 02:13:11.918520
Duration6.3 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년도
Real number (ℝ)

Distinct12
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2016.6207
Minimum2012
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.9 KiB
2024-04-11T11:13:11.966580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2012
5-th percentile2012
Q12014
median2016
Q32019
95-th percentile2022
Maximum2023
Range11
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.189377
Coefficient of variation (CV)0.0015815453
Kurtosis-0.98844228
Mean2016.6207
Median Absolute Deviation (MAD)2.5
Skewness0.28327956
Sum3625884
Variance10.172126
MonotonicityDecreasing
2024-04-11T11:13:12.065931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2017 186
10.3%
2016 186
10.3%
2015 186
10.3%
2014 186
10.3%
2013 186
10.3%
2012 186
10.3%
2018 155
8.6%
2021 124
6.9%
2020 124
6.9%
2019 124
6.9%
Other values (2) 155
8.6%
ValueCountFrequency (%)
2012 186
10.3%
2013 186
10.3%
2014 186
10.3%
2015 186
10.3%
2016 186
10.3%
2017 186
10.3%
2018 155
8.6%
2019 124
6.9%
2020 124
6.9%
2021 124
6.9%
ValueCountFrequency (%)
2023 62
 
3.4%
2022 93
5.2%
2021 124
6.9%
2020 124
6.9%
2019 124
6.9%
2018 155
8.6%
2017 186
10.3%
2016 186
10.3%
2015 186
10.3%
2014 186
10.3%

시군명
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size14.2 KiB
가평군
 
58
고양시
 
58
과천시
 
58
광명시
 
58
광주시
 
58
Other values (26)
1508 

Length

Max length4
Median length3
Mean length3.0967742
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row가평군
2nd row가평군
3rd row고양시
4th row고양시
5th row과천시

Common Values

ValueCountFrequency (%)
가평군 58
 
3.2%
고양시 58
 
3.2%
과천시 58
 
3.2%
광명시 58
 
3.2%
광주시 58
 
3.2%
구리시 58
 
3.2%
군포시 58
 
3.2%
김포시 58
 
3.2%
남양주시 58
 
3.2%
동두천시 58
 
3.2%
Other values (21) 1218
67.7%

Length

2024-04-11T11:13:12.177351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
가평군 58
 
3.2%
안양시 58
 
3.2%
하남시 58
 
3.2%
포천시 58
 
3.2%
평택시 58
 
3.2%
파주시 58
 
3.2%
이천시 58
 
3.2%
의정부시 58
 
3.2%
의왕시 58
 
3.2%
용인시 58
 
3.2%
Other values (21) 1218
67.7%

총학급수(개)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct67
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.021135
Minimum0
Maximum95
Zeros706
Zeros (%)39.3%
Negative0
Negative (%)0.0%
Memory size15.9 KiB
2024-04-11T11:13:12.284561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median23
Q344
95-th percentile83
Maximum95
Range95
Interquartile range (IQR)44

Descriptive statistics

Standard deviation27.181424
Coefficient of variation (CV)1.0445903
Kurtosis-0.45487923
Mean26.021135
Median Absolute Deviation (MAD)23
Skewness0.74876008
Sum46786
Variance738.82983
MonotonicityNot monotonic
2024-04-11T11:13:12.396704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 706
39.3%
25 63
 
3.5%
34 52
 
2.9%
23 48
 
2.7%
21 45
 
2.5%
57 39
 
2.2%
40 37
 
2.1%
24 36
 
2.0%
42 34
 
1.9%
8 34
 
1.9%
Other values (57) 704
39.2%
ValueCountFrequency (%)
0 706
39.3%
4 6
 
0.3%
5 6
 
0.3%
6 6
 
0.3%
7 12
 
0.7%
8 34
 
1.9%
17 6
 
0.3%
18 24
 
1.3%
19 6
 
0.3%
20 15
 
0.8%
ValueCountFrequency (%)
95 6
 
0.3%
94 6
 
0.3%
92 20
1.1%
91 26
1.4%
88 2
 
0.1%
85 3
 
0.2%
84 21
1.2%
83 14
0.8%
81 6
 
0.3%
77 8
 
0.4%

영아학급수(개)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size14.2 KiB
0
1698 
1
 
57
2
 
43

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 1698
94.4%
1 57
 
3.2%
2 43
 
2.4%

Length

2024-04-11T11:13:12.516667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-11T11:13:12.614614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1698
94.4%
1 57
 
3.2%
2 43
 
2.4%

유치원학급수(개)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct14
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0678532
Minimum0
Maximum15
Zeros776
Zeros (%)43.2%
Negative0
Negative (%)0.0%
Memory size15.9 KiB
2024-04-11T11:13:12.697440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile9
Maximum15
Range15
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.0124692
Coefficient of variation (CV)1.45681
Kurtosis2.7821263
Mean2.0678532
Median Absolute Deviation (MAD)1
Skewness1.8498145
Sum3718
Variance9.0749705
MonotonicityNot monotonic
2024-04-11T11:13:12.804791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 776
43.2%
2 353
19.6%
1 273
 
15.2%
9 73
 
4.1%
3 71
 
3.9%
5 59
 
3.3%
7 50
 
2.8%
6 34
 
1.9%
8 28
 
1.6%
12 26
 
1.4%
Other values (4) 55
 
3.1%
ValueCountFrequency (%)
0 776
43.2%
1 273
 
15.2%
2 353
19.6%
3 71
 
3.9%
4 20
 
1.1%
5 59
 
3.3%
6 34
 
1.9%
7 50
 
2.8%
8 28
 
1.6%
9 73
 
4.1%
ValueCountFrequency (%)
15 6
 
0.3%
12 26
 
1.4%
11 24
 
1.3%
10 5
 
0.3%
9 73
4.1%
8 28
 
1.6%
7 50
2.8%
6 34
1.9%
5 59
3.3%
4 20
 
1.1%

초등학교학급수(개)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct24
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.0756396
Minimum0
Maximum36
Zeros770
Zeros (%)42.8%
Negative0
Negative (%)0.0%
Memory size15.9 KiB
2024-04-11T11:13:12.901915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q312
95-th percentile28
Maximum36
Range36
Interquartile range (IQR)12

Descriptive statistics

Standard deviation10.068373
Coefficient of variation (CV)1.1093844
Kurtosis-0.11017662
Mean9.0756396
Median Absolute Deviation (MAD)6
Skewness0.90218523
Sum16318
Variance101.37213
MonotonicityNot monotonic
2024-04-11T11:13:13.001403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 770
42.8%
12 298
 
16.6%
6 170
 
9.5%
18 92
 
5.1%
36 58
 
3.2%
22 40
 
2.2%
24 38
 
2.1%
23 36
 
2.0%
21 36
 
2.0%
11 29
 
1.6%
Other values (14) 231
 
12.8%
ValueCountFrequency (%)
0 770
42.8%
5 14
 
0.8%
6 170
 
9.5%
8 24
 
1.3%
9 24
 
1.3%
10 23
 
1.3%
11 29
 
1.6%
12 298
 
16.6%
13 2
 
0.1%
16 6
 
0.3%
ValueCountFrequency (%)
36 58
3.2%
29 29
1.6%
28 21
 
1.2%
27 20
 
1.1%
26 6
 
0.3%
25 26
1.4%
24 38
2.1%
23 36
2.0%
22 40
2.2%
21 36
2.0%

중학교학급수(개)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct22
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.8225806
Minimum0
Maximum21
Zeros724
Zeros (%)40.3%
Negative0
Negative (%)0.0%
Memory size15.9 KiB
2024-04-11T11:13:13.103301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q310
95-th percentile18
Maximum21
Range21
Interquartile range (IQR)10

Descriptive statistics

Standard deviation5.9474794
Coefficient of variation (CV)1.0214508
Kurtosis-0.60836564
Mean5.8225806
Median Absolute Deviation (MAD)6
Skewness0.66214917
Sum10469
Variance35.372512
MonotonicityNot monotonic
2024-04-11T11:13:13.198717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 724
40.3%
6 266
 
14.8%
12 214
 
11.9%
9 93
 
5.2%
7 90
 
5.0%
3 58
 
3.2%
18 58
 
3.2%
15 44
 
2.4%
10 44
 
2.4%
20 44
 
2.4%
Other values (12) 163
 
9.1%
ValueCountFrequency (%)
0 724
40.3%
1 6
 
0.3%
2 6
 
0.3%
3 58
 
3.2%
4 10
 
0.6%
5 25
 
1.4%
6 266
 
14.8%
7 90
 
5.0%
8 39
 
2.2%
9 93
 
5.2%
ValueCountFrequency (%)
21 2
 
0.1%
20 44
 
2.4%
19 6
 
0.3%
18 58
 
3.2%
17 18
 
1.0%
16 20
 
1.1%
15 44
 
2.4%
14 4
 
0.2%
13 5
 
0.3%
12 214
11.9%

고등학교학급수(개)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct21
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.7697442
Minimum0
Maximum21
Zeros724
Zeros (%)40.3%
Negative0
Negative (%)0.0%
Memory size15.9 KiB
2024-04-11T11:13:13.446488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q310
95-th percentile18
Maximum21
Range21
Interquartile range (IQR)10

Descriptive statistics

Standard deviation5.9946495
Coefficient of variation (CV)1.0389801
Kurtosis-0.55453368
Mean5.7697442
Median Absolute Deviation (MAD)6
Skewness0.7207784
Sum10374
Variance35.935823
MonotonicityNot monotonic
2024-04-11T11:13:13.538971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 724
40.3%
6 281
 
15.6%
12 160
 
8.9%
7 75
 
4.2%
18 75
 
4.2%
3 74
 
4.1%
9 71
 
3.9%
10 52
 
2.9%
5 47
 
2.6%
13 46
 
2.6%
Other values (11) 193
 
10.7%
ValueCountFrequency (%)
0 724
40.3%
2 6
 
0.3%
3 74
 
4.1%
4 15
 
0.8%
5 47
 
2.6%
6 281
 
15.6%
7 75
 
4.2%
8 25
 
1.4%
9 71
 
3.9%
10 52
 
2.9%
ValueCountFrequency (%)
21 2
 
0.1%
20 33
 
1.8%
19 23
 
1.3%
18 75
4.2%
17 6
 
0.3%
16 28
 
1.6%
15 26
 
1.4%
14 3
 
0.2%
13 46
 
2.6%
12 160
8.9%

전공과학급수(개)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct12
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2057842
Minimum0
Maximum16
Zeros785
Zeros (%)43.7%
Negative0
Negative (%)0.0%
Memory size15.9 KiB
2024-04-11T11:13:13.639310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q36
95-th percentile9
Maximum16
Range16
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.7965702
Coefficient of variation (CV)1.1842875
Kurtosis1.6436481
Mean3.2057842
Median Absolute Deviation (MAD)2
Skewness1.2899241
Sum5764
Variance14.413945
MonotonicityNot monotonic
2024-04-11T11:13:13.733312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 785
43.7%
6 229
 
12.7%
2 213
 
11.8%
4 185
 
10.3%
8 178
 
9.9%
16 54
 
3.0%
9 52
 
2.9%
3 44
 
2.4%
5 20
 
1.1%
10 14
 
0.8%
Other values (2) 24
 
1.3%
ValueCountFrequency (%)
0 785
43.7%
1 12
 
0.7%
2 213
 
11.8%
3 44
 
2.4%
4 185
 
10.3%
5 20
 
1.1%
6 229
 
12.7%
7 12
 
0.7%
8 178
 
9.9%
9 52
 
2.9%
ValueCountFrequency (%)
16 54
 
3.0%
10 14
 
0.8%
9 52
 
2.9%
8 178
9.9%
7 12
 
0.7%
6 229
12.7%
5 20
 
1.1%
4 185
10.3%
3 44
 
2.4%
2 213
11.8%

장애영아포함유치원학급수(전체 학급 수 중 기타)(개)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size14.2 KiB
0
1720 
2
 
67
1
 
11

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1720
95.7%
2 67
 
3.7%
1 11
 
0.6%

Length

2024-04-11T11:13:13.838872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-11T11:13:13.935354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1720
95.7%
2 67
 
3.7%
1 11
 
0.6%

순회파견병원학급수(전체 학급 수 중 기타)(개)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size14.2 KiB
0
1469 
1
 
133
2
 
129
3
 
56
4
 
11

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1469
81.7%
1 133
 
7.4%
2 129
 
7.2%
3 56
 
3.1%
4 11
 
0.6%

Length

2024-04-11T11:13:14.032698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-11T11:13:14.126673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1469
81.7%
1 133
 
7.4%
2 129
 
7.2%
3 56
 
3.1%
4 11
 
0.6%

Interactions

2024-04-11T11:13:11.057395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:13:07.323631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:13:08.044087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:13:08.617687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:13:09.211797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:13:09.800376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:13:10.352483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:13:11.147352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:13:07.572979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:13:08.128942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:13:08.711179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:13:09.303392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:13:09.896898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:13:10.427388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:13:11.231376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:13:07.648421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:13:08.204718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:13:08.791610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:13:09.375573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:13:09.968996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:13:10.656158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:13:11.322523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:13:07.728118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:13:08.284430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:13:08.872972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:13:09.466620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:13:10.051833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:13:10.733579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:13:11.431808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:13:07.805527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:13:08.381153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:13:08.967274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:13:09.555066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:13:10.133141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:13:10.811605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:13:11.521656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:13:07.878194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:13:08.456210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:13:09.042171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:13:09.628243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:13:10.199978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:13:10.882023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:13:11.607077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:13:07.952543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:13:08.528190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:13:09.116240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:13:09.702217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:13:10.268564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:13:10.955959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-11T11:13:14.202045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년도시군명총학급수(개)영아학급수(개)유치원학급수(개)초등학교학급수(개)중학교학급수(개)고등학교학급수(개)전공과학급수(개)장애영아포함유치원학급수(전체 학급 수 중 기타)(개)순회파견병원학급수(전체 학급 수 중 기타)(개)
기준년도1.0000.0000.2200.2540.2210.2400.2230.2570.2130.2260.363
시군명0.0001.0000.9630.8220.9260.9670.9660.9640.9490.7060.875
총학급수(개)0.2200.9631.0000.4110.9100.9730.9700.9640.8110.2970.812
영아학급수(개)0.2540.8220.4111.0000.6720.3960.4770.3750.2830.6570.274
유치원학급수(개)0.2210.9260.9100.6721.0000.9030.8960.8680.7090.6200.685
초등학교학급수(개)0.2400.9670.9730.3960.9031.0000.9530.9400.8100.2950.687
중학교학급수(개)0.2230.9660.9700.4770.8960.9531.0000.9810.8190.5810.702
고등학교학급수(개)0.2570.9640.9640.3750.8680.9400.9811.0000.8090.1970.785
전공과학급수(개)0.2130.9490.8110.2830.7090.8100.8190.8091.0000.2230.606
장애영아포함유치원학급수(전체 학급 수 중 기타)(개)0.2260.7060.2970.6570.6200.2950.5810.1970.2231.0000.046
순회파견병원학급수(전체 학급 수 중 기타)(개)0.3630.8750.8120.2740.6850.6870.7020.7850.6060.0461.000
2024-04-11T11:13:14.325007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순회파견병원학급수(전체 학급 수 중 기타)(개)장애영아포함유치원학급수(전체 학급 수 중 기타)(개)시군명영아학급수(개)
순회파견병원학급수(전체 학급 수 중 기타)(개)1.0000.0340.6390.215
장애영아포함유치원학급수(전체 학급 수 중 기타)(개)0.0341.0000.4770.318
시군명0.6390.4771.0000.618
영아학급수(개)0.2150.3180.6181.000
2024-04-11T11:13:14.411903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년도총학급수(개)유치원학급수(개)초등학교학급수(개)중학교학급수(개)고등학교학급수(개)전공과학급수(개)시군명영아학급수(개)장애영아포함유치원학급수(전체 학급 수 중 기타)(개)순회파견병원학급수(전체 학급 수 중 기타)(개)
기준년도1.0000.1010.0860.1010.1050.0990.1380.0000.1600.1150.156
총학급수(개)0.1011.0000.9110.9780.9880.9840.9200.7800.2710.1820.469
유치원학급수(개)0.0860.9111.0000.9100.8860.8580.7950.6890.5930.5180.391
초등학교학급수(개)0.1010.9780.9101.0000.9620.9540.8610.8010.2780.2100.350
중학교학급수(개)0.1050.9880.8860.9621.0000.9880.9180.7920.3260.4240.365
고등학교학급수(개)0.0990.9840.8580.9540.9881.0000.9220.7840.2430.1190.440
전공과학급수(개)0.1380.9200.7950.8610.9180.9221.0000.8280.1910.1480.457
시군명0.0000.7800.6890.8010.7920.7840.8281.0000.6180.4770.639
영아학급수(개)0.1600.2710.5930.2780.3260.2430.1910.6181.0000.3180.215
장애영아포함유치원학급수(전체 학급 수 중 기타)(개)0.1150.1820.5180.2100.4240.1190.1480.4770.3181.0000.034
순회파견병원학급수(전체 학급 수 중 기타)(개)0.1560.4690.3910.3500.3650.4400.4570.6390.2150.0341.000

Missing values

2024-04-11T11:13:11.722436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-11T11:13:11.860186image/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

기준년도시군명총학급수(개)영아학급수(개)유치원학급수(개)초등학교학급수(개)중학교학급수(개)고등학교학급수(개)전공과학급수(개)장애영아포함유치원학급수(전체 학급 수 중 기타)(개)순회파견병원학급수(전체 학급 수 중 기타)(개)
02023가평군000000000
12023가평군000000000
22023고양시91110361818800
32023고양시91110361818800
42023과천시000000000
52023과천시000000000
62023광명시000000000
72023광명시000000000
82023광주시6806291515300
92023광주시6806291515300
기준년도시군명총학급수(개)영아학급수(개)유치원학급수(개)초등학교학급수(개)중학교학급수(개)고등학교학급수(개)전공과학급수(개)장애영아포함유치원학급수(전체 학급 수 중 기타)(개)순회파견병원학급수(전체 학급 수 중 기타)(개)
17882012하남시26021066200
17892012하남시26021066200
17902012하남시26021066200
17912012하남시26021066200
17922012화성시1809630020
17932012화성시1809630020
17942012화성시1809630020
17952012화성시1809630020
17962012화성시1809630020
17972012화성시1809630020

Duplicate rows

Most frequently occurring

기준년도시군명총학급수(개)영아학급수(개)유치원학급수(개)초등학교학급수(개)중학교학급수(개)고등학교학급수(개)전공과학급수(개)장애영아포함유치원학급수(전체 학급 수 중 기타)(개)순회파견병원학급수(전체 학급 수 중 기타)(개)# duplicates
02012가평군0000000006
12012고양시950153618188006
22012과천시0000000006
32012광명시0000000006
42012광주시50042112121006
52012구리시0000000006
62012군포시0000000006
72012김포시0000000006
82012남양주시340212776226
92012동두천시0000000006