Overview

Dataset statistics

Number of variables14
Number of observations120
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.8 KiB
Average record size in memory126.1 B

Variable types

Numeric11
Categorical3

Dataset

Description특수교육지원센터 배치 장애영아 집계현황
Author경기복지재단(경기도장애인복지종합지원센터)
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=3DLC7ASSRL0SYW3RCLZV25199985&infSeq=1

Alerts

전체영아수(명) is highly overall correlated with 전체남자영아수(명) and 8 other fieldsHigh correlation
전체남자영아수(명) is highly overall correlated with 전체영아수(명) and 9 other fieldsHigh correlation
전체여자영아수(명) is highly overall correlated with 전체영아수(명) and 8 other fieldsHigh correlation
1세미만전체영아수(명) is highly overall correlated with 전체영아수(명) and 6 other fieldsHigh correlation
1세전체영아수(명) is highly overall correlated with 전체영아수(명) and 8 other fieldsHigh correlation
1세남자영아수(명) is highly overall correlated with 전체영아수(명) and 8 other fieldsHigh correlation
1세여자영아수(명) is highly overall correlated with 전체영아수(명) and 7 other fieldsHigh correlation
2세전체영아수(명) is highly overall correlated with 전체영아수(명) and 7 other fieldsHigh correlation
2세남자영아수(명) is highly overall correlated with 전체영아수(명) and 8 other fieldsHigh correlation
2세여자영아수(명) is highly overall correlated with 전체영아수(명) and 8 other fieldsHigh correlation
1세미만남자영아수(명) is highly overall correlated with 전체남자영아수(명) and 3 other fieldsHigh correlation
1세미만여자영아수(명) is highly overall correlated with 1세미만전체영아수(명)High correlation
1세미만남자영아수(명) is highly imbalanced (64.3%)Imbalance
1세미만여자영아수(명) is highly imbalanced (57.9%)Imbalance
전체영아수(명) has 58 (48.3%) zerosZeros
전체남자영아수(명) has 63 (52.5%) zerosZeros
전체여자영아수(명) has 65 (54.2%) zerosZeros
1세미만전체영아수(명) has 95 (79.2%) zerosZeros
1세전체영아수(명) has 72 (60.0%) zerosZeros
1세남자영아수(명) has 80 (66.7%) zerosZeros
1세여자영아수(명) has 81 (67.5%) zerosZeros
2세전체영아수(명) has 64 (53.3%) zerosZeros
2세남자영아수(명) has 71 (59.2%) zerosZeros
2세여자영아수(명) has 73 (60.8%) zerosZeros

Reproduction

Analysis started2023-12-10 21:12:21.098009
Analysis finished2023-12-10 21:12:33.307664
Duration12.21 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년도
Real number (ℝ)

Distinct12
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2017.5
Minimum2012
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T06:12:33.366049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2012
5-th percentile2012
Q12014.75
median2017.5
Q32020.25
95-th percentile2023
Maximum2023
Range11
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation3.4665266
Coefficient of variation (CV)0.0017182288
Kurtosis-1.2173303
Mean2017.5
Median Absolute Deviation (MAD)3
Skewness0
Sum242100
Variance12.016807
MonotonicityDecreasing
2023-12-11T06:12:33.487360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2023 10
8.3%
2022 10
8.3%
2021 10
8.3%
2020 10
8.3%
2019 10
8.3%
2018 10
8.3%
2017 10
8.3%
2016 10
8.3%
2015 10
8.3%
2014 10
8.3%
Other values (2) 20
16.7%
ValueCountFrequency (%)
2012 10
8.3%
2013 10
8.3%
2014 10
8.3%
2015 10
8.3%
2016 10
8.3%
2017 10
8.3%
2018 10
8.3%
2019 10
8.3%
2020 10
8.3%
2021 10
8.3%
ValueCountFrequency (%)
2023 10
8.3%
2022 10
8.3%
2021 10
8.3%
2020 10
8.3%
2019 10
8.3%
2018 10
8.3%
2017 10
8.3%
2016 10
8.3%
2015 10
8.3%
2014 10
8.3%

장애영역명
Categorical

Distinct10
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
건강장애
12 
발달지체
12 
시각장애
12 
의사소통장애
12 
자폐성장애
12 
Other values (5)
60 

Length

Max length6
Median length4
Mean length4.5
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row건강장애
2nd row발달지체
3rd row시각장애
4th row의사소통장애
5th row자폐성장애

Common Values

ValueCountFrequency (%)
건강장애 12
10.0%
발달지체 12
10.0%
시각장애 12
10.0%
의사소통장애 12
10.0%
자폐성장애 12
10.0%
정서행동장애 12
10.0%
지적장애 12
10.0%
지체장애 12
10.0%
청각장애 12
10.0%
학습장애 12
10.0%

Length

2023-12-11T06:12:33.626206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:12:33.770563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건강장애 12
10.0%
발달지체 12
10.0%
시각장애 12
10.0%
의사소통장애 12
10.0%
자폐성장애 12
10.0%
정서행동장애 12
10.0%
지적장애 12
10.0%
지체장애 12
10.0%
청각장애 12
10.0%
학습장애 12
10.0%

전체영아수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct29
Distinct (%)24.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.8416667
Minimum0
Maximum176
Zeros58
Zeros (%)48.3%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T06:12:33.918012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q39
95-th percentile39.1
Maximum176
Range176
Interquartile range (IQR)9

Descriptive statistics

Standard deviation21.523486
Coefficient of variation (CV)2.1869757
Kurtosis31.043658
Mean9.8416667
Median Absolute Deviation (MAD)1
Skewness4.7310178
Sum1181
Variance463.26043
MonotonicityNot monotonic
2023-12-11T06:12:34.037892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 58
48.3%
3 7
 
5.8%
5 6
 
5.0%
2 6
 
5.0%
1 6
 
5.0%
39 3
 
2.5%
34 3
 
2.5%
4 3
 
2.5%
7 2
 
1.7%
27 2
 
1.7%
Other values (19) 24
20.0%
ValueCountFrequency (%)
0 58
48.3%
1 6
 
5.0%
2 6
 
5.0%
3 7
 
5.8%
4 3
 
2.5%
5 6
 
5.0%
6 1
 
0.8%
7 2
 
1.7%
9 2
 
1.7%
10 1
 
0.8%
ValueCountFrequency (%)
176 1
 
0.8%
96 1
 
0.8%
48 1
 
0.8%
46 1
 
0.8%
43 1
 
0.8%
41 1
 
0.8%
39 3
2.5%
34 3
2.5%
33 1
 
0.8%
31 2
1.7%

전체남자영아수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct26
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.7666667
Minimum0
Maximum103
Zeros63
Zeros (%)52.5%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T06:12:34.181560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35.25
95-th percentile23.05
Maximum103
Range103
Interquartile range (IQR)5.25

Descriptive statistics

Standard deviation12.765324
Coefficient of variation (CV)2.21364
Kurtosis29.613263
Mean5.7666667
Median Absolute Deviation (MAD)0
Skewness4.6381699
Sum692
Variance162.9535
MonotonicityNot monotonic
2023-12-11T06:12:34.364581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 63
52.5%
1 9
 
7.5%
2 8
 
6.7%
3 7
 
5.8%
20 3
 
2.5%
21 3
 
2.5%
14 3
 
2.5%
15 2
 
1.7%
6 2
 
1.7%
7 2
 
1.7%
Other values (16) 18
 
15.0%
ValueCountFrequency (%)
0 63
52.5%
1 9
 
7.5%
2 8
 
6.7%
3 7
 
5.8%
4 2
 
1.7%
5 1
 
0.8%
6 2
 
1.7%
7 2
 
1.7%
8 1
 
0.8%
11 1
 
0.8%
ValueCountFrequency (%)
103 1
 
0.8%
57 1
 
0.8%
36 1
 
0.8%
29 1
 
0.8%
25 1
 
0.8%
24 1
 
0.8%
23 1
 
0.8%
21 3
2.5%
20 3
2.5%
19 2
1.7%

전체여자영아수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct22
Distinct (%)18.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.0583333
Minimum0
Maximum73
Zeros65
Zeros (%)54.2%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T06:12:34.469179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34
95-th percentile17.05
Maximum73
Range73
Interquartile range (IQR)4

Descriptive statistics

Standard deviation8.960507
Coefficient of variation (CV)2.2079278
Kurtosis30.541972
Mean4.0583333
Median Absolute Deviation (MAD)0
Skewness4.6983563
Sum487
Variance80.290686
MonotonicityNot monotonic
2023-12-11T06:12:34.580437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 65
54.2%
1 12
 
10.0%
2 7
 
5.8%
3 5
 
4.2%
4 4
 
3.3%
13 3
 
2.5%
8 3
 
2.5%
11 2
 
1.7%
10 2
 
1.7%
18 2
 
1.7%
Other values (12) 15
 
12.5%
ValueCountFrequency (%)
0 65
54.2%
1 12
 
10.0%
2 7
 
5.8%
3 5
 
4.2%
4 4
 
3.3%
6 1
 
0.8%
7 2
 
1.7%
8 3
 
2.5%
9 1
 
0.8%
10 2
 
1.7%
ValueCountFrequency (%)
73 1
 
0.8%
39 1
 
0.8%
24 1
 
0.8%
19 1
 
0.8%
18 2
1.7%
17 1
 
0.8%
16 2
1.7%
15 2
1.7%
14 1
 
0.8%
13 3
2.5%

1세미만전체영아수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct6
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.49166667
Minimum0
Maximum5
Zeros95
Zeros (%)79.2%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T06:12:34.685142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.1226906
Coefficient of variation (CV)2.2834385
Kurtosis5.3839741
Mean0.49166667
Median Absolute Deviation (MAD)0
Skewness2.4488531
Sum59
Variance1.2604342
MonotonicityNot monotonic
2023-12-11T06:12:34.783253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 95
79.2%
1 8
 
6.7%
2 7
 
5.8%
3 5
 
4.2%
4 3
 
2.5%
5 2
 
1.7%
ValueCountFrequency (%)
0 95
79.2%
1 8
 
6.7%
2 7
 
5.8%
3 5
 
4.2%
4 3
 
2.5%
5 2
 
1.7%
ValueCountFrequency (%)
5 2
 
1.7%
4 3
 
2.5%
3 5
 
4.2%
2 7
 
5.8%
1 8
 
6.7%
0 95
79.2%

1세미만남자영아수(명)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
0
103 
1
 
9
2
 
4
3
 
2
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row2
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 103
85.8%
1 9
 
7.5%
2 4
 
3.3%
3 2
 
1.7%
4 2
 
1.7%

Length

2023-12-11T06:12:34.917173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:12:35.030300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 103
85.8%
1 9
 
7.5%
2 4
 
3.3%
3 2
 
1.7%
4 2
 
1.7%

1세미만여자영아수(명)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
0
100 
1
14 
2
 
4
3
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
83.3%
1 14
 
11.7%
2 4
 
3.3%
3 2
 
1.7%

Length

2023-12-11T06:12:35.129163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:12:35.234206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
83.3%
1 14
 
11.7%
2 4
 
3.3%
3 2
 
1.7%

1세전체영아수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct16
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.7083333
Minimum0
Maximum57
Zeros72
Zeros (%)60.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T06:12:35.346015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile13
Maximum57
Range57
Interquartile range (IQR)3

Descriptive statistics

Standard deviation6.3806375
Coefficient of variation (CV)2.3559277
Kurtosis44.367792
Mean2.7083333
Median Absolute Deviation (MAD)0
Skewness5.7208106
Sum325
Variance40.712535
MonotonicityNot monotonic
2023-12-11T06:12:35.473778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 72
60.0%
2 8
 
6.7%
1 6
 
5.0%
4 6
 
5.0%
9 5
 
4.2%
6 5
 
4.2%
3 5
 
4.2%
13 3
 
2.5%
7 2
 
1.7%
5 2
 
1.7%
Other values (6) 6
 
5.0%
ValueCountFrequency (%)
0 72
60.0%
1 6
 
5.0%
2 8
 
6.7%
3 5
 
4.2%
4 6
 
5.0%
5 2
 
1.7%
6 5
 
4.2%
7 2
 
1.7%
8 1
 
0.8%
9 5
 
4.2%
ValueCountFrequency (%)
57 1
 
0.8%
21 1
 
0.8%
16 1
 
0.8%
14 1
 
0.8%
13 3
2.5%
10 1
 
0.8%
9 5
4.2%
8 1
 
0.8%
7 2
 
1.7%
6 5
4.2%

1세남자영아수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct12
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5166667
Minimum0
Maximum32
Zeros80
Zeros (%)66.7%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T06:12:35.588706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile6.05
Maximum32
Range32
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.6414591
Coefficient of variation (CV)2.400962
Kurtosis41.519162
Mean1.5166667
Median Absolute Deviation (MAD)0
Skewness5.5089856
Sum182
Variance13.260224
MonotonicityNot monotonic
2023-12-11T06:12:35.720961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 80
66.7%
2 14
 
11.7%
3 6
 
5.0%
6 4
 
3.3%
4 4
 
3.3%
1 3
 
2.5%
5 3
 
2.5%
10 2
 
1.7%
32 1
 
0.8%
7 1
 
0.8%
Other values (2) 2
 
1.7%
ValueCountFrequency (%)
0 80
66.7%
1 3
 
2.5%
2 14
 
11.7%
3 6
 
5.0%
4 4
 
3.3%
5 3
 
2.5%
6 4
 
3.3%
7 1
 
0.8%
8 1
 
0.8%
10 2
 
1.7%
ValueCountFrequency (%)
32 1
 
0.8%
11 1
 
0.8%
10 2
 
1.7%
8 1
 
0.8%
7 1
 
0.8%
6 4
 
3.3%
5 3
 
2.5%
4 4
 
3.3%
3 6
5.0%
2 14
11.7%

1세여자영아수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct11
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1916667
Minimum0
Maximum25
Zeros81
Zeros (%)67.5%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T06:12:35.836478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile6.05
Maximum25
Range25
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.9741063
Coefficient of variation (CV)2.4957535
Kurtosis35.239883
Mean1.1916667
Median Absolute Deviation (MAD)0
Skewness5.1121363
Sum143
Variance8.8453081
MonotonicityNot monotonic
2023-12-11T06:12:35.950227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 81
67.5%
1 13
 
10.8%
2 9
 
7.5%
4 6
 
5.0%
7 3
 
2.5%
5 2
 
1.7%
3 2
 
1.7%
25 1
 
0.8%
11 1
 
0.8%
9 1
 
0.8%
ValueCountFrequency (%)
0 81
67.5%
1 13
 
10.8%
2 9
 
7.5%
3 2
 
1.7%
4 6
 
5.0%
5 2
 
1.7%
6 1
 
0.8%
7 3
 
2.5%
9 1
 
0.8%
11 1
 
0.8%
ValueCountFrequency (%)
25 1
 
0.8%
11 1
 
0.8%
9 1
 
0.8%
7 3
 
2.5%
6 1
 
0.8%
5 2
 
1.7%
4 6
5.0%
3 2
 
1.7%
2 9
7.5%
1 13
10.8%

2세전체영아수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct23
Distinct (%)19.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.6416667
Minimum0
Maximum114
Zeros64
Zeros (%)53.3%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T06:12:36.054621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36
95-th percentile27.05
Maximum114
Range114
Interquartile range (IQR)6

Descriptive statistics

Standard deviation14.7231
Coefficient of variation (CV)2.2167779
Kurtosis26.042496
Mean6.6416667
Median Absolute Deviation (MAD)0
Skewness4.3655691
Sum797
Variance216.76968
MonotonicityNot monotonic
2023-12-11T06:12:36.176363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 64
53.3%
2 10
 
8.3%
1 9
 
7.5%
3 4
 
3.3%
6 4
 
3.3%
23 3
 
2.5%
20 3
 
2.5%
25 3
 
2.5%
22 3
 
2.5%
28 2
 
1.7%
Other values (13) 15
 
12.5%
ValueCountFrequency (%)
0 64
53.3%
1 9
 
7.5%
2 10
 
8.3%
3 4
 
3.3%
4 1
 
0.8%
5 1
 
0.8%
6 4
 
3.3%
8 1
 
0.8%
9 2
 
1.7%
16 2
 
1.7%
ValueCountFrequency (%)
114 1
 
0.8%
73 1
 
0.8%
34 1
 
0.8%
30 1
 
0.8%
28 2
1.7%
27 1
 
0.8%
26 1
 
0.8%
25 3
2.5%
23 3
2.5%
22 3
2.5%

2세남자영아수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct21
Distinct (%)17.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4
Minimum0
Maximum67
Zeros71
Zeros (%)59.2%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T06:12:36.303395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33.25
95-th percentile17
Maximum67
Range67
Interquartile range (IQR)3.25

Descriptive statistics

Standard deviation8.9264031
Coefficient of variation (CV)2.2316008
Kurtosis23.812316
Mean4
Median Absolute Deviation (MAD)0
Skewness4.2117045
Sum480
Variance79.680672
MonotonicityNot monotonic
2023-12-11T06:12:36.433148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 71
59.2%
1 11
 
9.2%
2 5
 
4.2%
3 3
 
2.5%
15 3
 
2.5%
5 3
 
2.5%
14 3
 
2.5%
17 3
 
2.5%
16 2
 
1.7%
9 2
 
1.7%
Other values (11) 14
 
11.7%
ValueCountFrequency (%)
0 71
59.2%
1 11
 
9.2%
2 5
 
4.2%
3 3
 
2.5%
4 2
 
1.7%
5 3
 
2.5%
7 1
 
0.8%
8 1
 
0.8%
9 2
 
1.7%
10 2
 
1.7%
ValueCountFrequency (%)
67 1
 
0.8%
46 1
 
0.8%
24 1
 
0.8%
19 1
 
0.8%
17 3
2.5%
16 2
1.7%
15 3
2.5%
14 3
2.5%
13 1
 
0.8%
12 2
1.7%

2세여자영아수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct16
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6333333
Minimum0
Maximum47
Zeros73
Zeros (%)60.8%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T06:12:36.558340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile11.05
Maximum47
Range47
Interquartile range (IQR)2

Descriptive statistics

Standard deviation5.9478593
Coefficient of variation (CV)2.2586808
Kurtosis27.345285
Mean2.6333333
Median Absolute Deviation (MAD)0
Skewness4.4419276
Sum316
Variance35.377031
MonotonicityNot monotonic
2023-12-11T06:12:36.662816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 73
60.8%
1 14
 
11.7%
2 5
 
4.2%
9 4
 
3.3%
11 4
 
3.3%
7 3
 
2.5%
13 3
 
2.5%
5 2
 
1.7%
10 2
 
1.7%
3 2
 
1.7%
Other values (6) 8
 
6.7%
ValueCountFrequency (%)
0 73
60.8%
1 14
 
11.7%
2 5
 
4.2%
3 2
 
1.7%
4 2
 
1.7%
5 2
 
1.7%
6 1
 
0.8%
7 3
 
2.5%
8 2
 
1.7%
9 4
 
3.3%
ValueCountFrequency (%)
47 1
 
0.8%
27 1
 
0.8%
13 3
2.5%
12 1
 
0.8%
11 4
3.3%
10 2
1.7%
9 4
3.3%
8 2
1.7%
7 3
2.5%
6 1
 
0.8%

Interactions

2023-12-11T06:12:32.126376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:21.659687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:22.691281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:23.789215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:24.733647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:26.070573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:27.065165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:28.087443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:29.154005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:30.135144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:31.005003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:32.195957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:21.801574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:22.811970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:23.889420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:24.839380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:26.165013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:27.146017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:28.172697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:29.237603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:30.233589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:31.105557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:32.264800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:21.916573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:22.935366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:23.971904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:24.943590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:26.273549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:27.233391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:28.258696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:29.343442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:30.312065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:31.385682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:32.345585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:21.992169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:23.018348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:24.061779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:25.045738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:26.370572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:27.315429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:28.341293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:29.438814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:30.392875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:31.458759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:32.441591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:22.077875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:23.104192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:24.142497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:25.144495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:26.464491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:27.413841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:28.445501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:29.521695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:30.479048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:31.538844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:32.536567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:22.156821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:23.195703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:24.246537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:25.251449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:26.548865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:27.512858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:28.569188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:29.615749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:30.559553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:31.644516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:32.623535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:22.248400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:23.314434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:24.326508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:25.337956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:26.635801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:27.600752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:28.658843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:29.713152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:30.632308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:31.726295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:32.715292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:22.363095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:23.414974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:24.413648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:25.688997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:26.718645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:27.688224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:28.765379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:29.804536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:30.709328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:31.808060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:32.790102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:22.448837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:23.505663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:24.493754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:25.773249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:26.803878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:27.788564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:28.851338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:29.895278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:30.784592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:31.885406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:32.858120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:22.529937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:23.613764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:24.572972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:25.865101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:26.878942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:27.884626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:28.960910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:29.978152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:30.852675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:31.972824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:32.936086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:22.614349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:23.703777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:24.659594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:25.971934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:26.976374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:27.990255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:29.054237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:30.064561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:30.934207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:32.054243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T06:12:36.957286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년도장애영역명전체영아수(명)전체남자영아수(명)전체여자영아수(명)1세미만전체영아수(명)1세미만남자영아수(명)1세미만여자영아수(명)1세전체영아수(명)1세남자영아수(명)1세여자영아수(명)2세전체영아수(명)2세남자영아수(명)2세여자영아수(명)
기준년도1.0000.0000.0000.1640.0000.0000.0000.0000.0000.0620.0450.0000.0000.000
장애영역명0.0001.0000.8160.6030.5780.5590.6290.3870.8020.6320.5690.7700.5990.753
전체영아수(명)0.0000.8161.0000.9440.9180.6070.8410.3530.9960.9640.9030.9970.9220.991
전체남자영아수(명)0.1640.6030.9441.0000.9750.8010.6610.4040.9160.8470.9700.9420.9980.913
전체여자영아수(명)0.0000.5780.9180.9751.0000.8350.6280.6340.8990.8390.9900.9120.9730.923
1세미만전체영아수(명)0.0000.5590.6070.8010.8351.0000.7600.7520.6230.6490.8480.5800.8000.569
1세미만남자영아수(명)0.0000.6290.8410.6610.6280.7601.0000.4350.8410.8690.6140.8240.6550.817
1세미만여자영아수(명)0.0000.3870.3530.4040.6340.7520.4351.0000.4200.4250.6350.2670.3060.272
1세전체영아수(명)0.0000.8020.9960.9160.8990.6230.8410.4201.0000.9680.9160.9900.9000.985
1세남자영아수(명)0.0620.6320.9640.8470.8390.6490.8690.4250.9681.0000.8250.9530.8340.943
1세여자영아수(명)0.0450.5690.9030.9700.9900.8480.6140.6350.9160.8251.0000.8800.9660.875
2세전체영아수(명)0.0000.7700.9970.9420.9120.5800.8240.2670.9900.9530.8801.0000.9290.995
2세남자영아수(명)0.0000.5990.9220.9980.9730.8000.6550.3060.9000.8340.9660.9291.0000.910
2세여자영아수(명)0.0000.7530.9910.9130.9230.5690.8170.2720.9850.9430.8750.9950.9101.000
2023-12-11T06:12:37.093257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장애영역명1세미만여자영아수(명)1세미만남자영아수(명)
장애영역명1.0000.2330.303
1세미만여자영아수(명)0.2331.0000.366
1세미만남자영아수(명)0.3030.3661.000
2023-12-11T06:12:37.208788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년도전체영아수(명)전체남자영아수(명)전체여자영아수(명)1세미만전체영아수(명)1세전체영아수(명)1세남자영아수(명)1세여자영아수(명)2세전체영아수(명)2세남자영아수(명)2세여자영아수(명)장애영역명1세미만남자영아수(명)1세미만여자영아수(명)
기준년도1.000-0.025-0.037-0.0230.0760.0330.0400.081-0.061-0.025-0.0570.0000.0000.000
전체영아수(명)-0.0251.0000.9740.9570.5880.9210.8450.8080.9560.9060.9060.4630.4740.293
전체남자영아수(명)-0.0370.9741.0000.9120.5600.9160.8630.7850.9420.9200.8820.3650.5190.268
전체여자영아수(명)-0.0230.9570.9121.0000.5960.9260.8270.8520.9080.8350.9390.3440.4850.459
1세미만전체영아수(명)0.0760.5880.5600.5961.0000.5760.4710.4930.4830.4030.5350.3290.6330.584
1세전체영아수(명)0.0330.9210.9160.9260.5761.0000.9280.8820.8560.8180.8560.4480.4740.352
1세남자영아수(명)0.0400.8450.8630.8270.4710.9281.0000.7240.7890.7500.8090.3050.5150.357
1세여자영아수(명)0.0810.8080.7850.8520.4930.8820.7241.0000.7640.7620.7510.3070.4630.461
2세전체영아수(명)-0.0610.9560.9420.9080.4830.8560.7890.7641.0000.9510.9320.4160.4510.219
2세남자영아수(명)-0.0250.9060.9200.8350.4030.8180.7500.7620.9511.0000.8380.3610.5130.199
2세여자영아수(명)-0.0570.9060.8820.9390.5350.8560.8090.7510.9320.8381.0000.4000.4430.223
장애영역명0.0000.4630.3650.3440.3290.4480.3050.3070.4160.3610.4001.0000.3030.233
1세미만남자영아수(명)0.0000.4740.5190.4850.6330.4740.5150.4630.4510.5130.4430.3031.0000.366
1세미만여자영아수(명)0.0000.2930.2680.4590.5840.3520.3570.4610.2190.1990.2230.2330.3661.000

Missing values

2023-12-11T06:12:33.065161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:12:33.244587image/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

기준년도장애영역명전체영아수(명)전체남자영아수(명)전체여자영아수(명)1세미만전체영아수(명)1세미만남자영아수(명)1세미만여자영아수(명)1세전체영아수(명)1세남자영아수(명)1세여자영아수(명)2세전체영아수(명)2세남자영아수(명)2세여자영아수(명)
02023건강장애000000000000
12023발달지체3920193211367231211
22023시각장애110000000110
32023의사소통장애000000000000
42023자폐성장애330000000330
52023정서행동장애000000000000
62023지적장애523000312211
72023지체장애2720700075220155
82023청각장애422000422000
92023학습장애000000000000
기준년도장애영역명전체영아수(명)전체남자영아수(명)전체여자영아수(명)1세미만전체영아수(명)1세미만남자영아수(명)1세미만여자영아수(명)1세전체영아수(명)1세남자영아수(명)1세여자영아수(명)2세전체영아수(명)2세남자영아수(명)2세여자영아수(명)
1102012건강장애000000000000
1112012발달지체15114000633981
1122012시각장애110110000000
1132012의사소통장애000000000000
1142012자폐성장애000000000000
1152012정서행동장애101000000101
1162012지적장애972000431541
1172012지체장애2214800022020128
1182012청각장애523101220202
1192012학습장애000000000000