Overview

Dataset statistics

Number of variables7
Number of observations36
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 KiB
Average record size in memory65.7 B

Variable types

Numeric6
Categorical1

Dataset

Description학교유형별 일반학급 배치 학교수 집계현황
Author경기복지재단(경기도장애인복지종합지원센터)
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=0QWI5SXL2JTPKSHNFYKD25087716&infSeq=1

Alerts

전체학교수(개) is highly overall correlated with 유치원수(개) and 4 other fieldsHigh correlation
유치원수(개) is highly overall correlated with 전체학교수(개) and 4 other fieldsHigh correlation
초등학교수(개) is highly overall correlated with 전체학교수(개) and 4 other fieldsHigh correlation
중학교수(개) is highly overall correlated with 전체학교수(개) and 4 other fieldsHigh correlation
고등학교수(개) is highly overall correlated with 전체학교수(개) and 4 other fieldsHigh correlation
학교유형명 is highly overall correlated with 전체학교수(개) and 4 other fieldsHigh correlation
전체학교수(개) has 12 (33.3%) zerosZeros
유치원수(개) has 12 (33.3%) zerosZeros
초등학교수(개) has 12 (33.3%) zerosZeros
중학교수(개) has 12 (33.3%) zerosZeros
고등학교수(개) has 12 (33.3%) zerosZeros

Reproduction

Analysis started2024-04-11 04:54:34.992993
Analysis finished2024-04-11 04:54:39.498324
Duration4.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년도
Real number (ℝ)

Distinct12
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2017.5
Minimum2012
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-04-11T13:54:39.549079image/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 deviation3.5010203
Coefficient of variation (CV)0.001735326
Kurtosis-1.217232
Mean2017.5
Median Absolute Deviation (MAD)3
Skewness0
Sum72630
Variance12.257143
MonotonicityDecreasing
2024-04-11T13:54:39.679469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2023 3
8.3%
2022 3
8.3%
2021 3
8.3%
2020 3
8.3%
2019 3
8.3%
2018 3
8.3%
2017 3
8.3%
2016 3
8.3%
2015 3
8.3%
2014 3
8.3%
Other values (2) 6
16.7%
ValueCountFrequency (%)
2012 3
8.3%
2013 3
8.3%
2014 3
8.3%
2015 3
8.3%
2016 3
8.3%
2017 3
8.3%
2018 3
8.3%
2019 3
8.3%
2020 3
8.3%
2021 3
8.3%
ValueCountFrequency (%)
2023 3
8.3%
2022 3
8.3%
2021 3
8.3%
2020 3
8.3%
2019 3
8.3%
2018 3
8.3%
2017 3
8.3%
2016 3
8.3%
2015 3
8.3%
2014 3
8.3%

학교유형명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
공립
12 
국립
12 
사립
12 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row공립
2nd row국립
3rd row사립
4th row공립
5th row국립

Common Values

ValueCountFrequency (%)
공립 12
33.3%
국립 12
33.3%
사립 12
33.3%

Length

2024-04-11T13:54:39.802823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-11T13:54:39.889962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공립 12
33.3%
국립 12
33.3%
사립 12
33.3%

전체학교수(개)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct24
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean499.61111
Minimum0
Maximum1619
Zeros12
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-04-11T13:54:39.974165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median179
Q31132.75
95-th percentile1499.75
Maximum1619
Range1619
Interquartile range (IQR)1132.75

Descriptive statistics

Standard deviation596.81733
Coefficient of variation (CV)1.1945638
Kurtosis-1.1939478
Mean499.61111
Median Absolute Deviation (MAD)179
Skewness0.79305718
Sum17986
Variance356190.93
MonotonicityNot monotonic
2024-04-11T13:54:40.076340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 12
33.3%
178 2
 
5.6%
1619 1
 
2.8%
1174 1
 
2.8%
300 1
 
2.8%
956 1
 
2.8%
247 1
 
2.8%
1153 1
 
2.8%
197 1
 
2.8%
1126 1
 
2.8%
Other values (14) 14
38.9%
ValueCountFrequency (%)
0 12
33.3%
150 1
 
2.8%
153 1
 
2.8%
159 1
 
2.8%
175 1
 
2.8%
178 2
 
5.6%
180 1
 
2.8%
183 1
 
2.8%
185 1
 
2.8%
197 1
 
2.8%
ValueCountFrequency (%)
1619 1
2.8%
1532 1
2.8%
1489 1
2.8%
1464 1
2.8%
1422 1
2.8%
1367 1
2.8%
1274 1
2.8%
1174 1
2.8%
1153 1
2.8%
1126 1
2.8%

유치원수(개)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct23
Distinct (%)63.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.527778
Minimum0
Maximum189
Zeros12
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-04-11T13:54:40.176820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median65
Q388
95-th percentile127
Maximum189
Range189
Interquartile range (IQR)88

Descriptive statistics

Standard deviation50.301654
Coefficient of variation (CV)0.87438896
Kurtosis-0.3416315
Mean57.527778
Median Absolute Deviation (MAD)41
Skewness0.40017084
Sum2071
Variance2530.2563
MonotonicityNot monotonic
2024-04-11T13:54:40.284261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 12
33.3%
79 2
 
5.6%
104 2
 
5.6%
102 1
 
2.8%
54 1
 
2.8%
189 1
 
2.8%
22 1
 
2.8%
151 1
 
2.8%
34 1
 
2.8%
51 1
 
2.8%
Other values (13) 13
36.1%
ValueCountFrequency (%)
0 12
33.3%
22 1
 
2.8%
34 1
 
2.8%
51 1
 
2.8%
54 1
 
2.8%
59 1
 
2.8%
64 1
 
2.8%
66 1
 
2.8%
71 1
 
2.8%
78 1
 
2.8%
ValueCountFrequency (%)
189 1
2.8%
151 1
2.8%
119 1
2.8%
109 1
2.8%
108 1
2.8%
104 2
5.6%
102 1
2.8%
94 1
2.8%
86 1
2.8%
84 1
2.8%

초등학교수(개)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct16
Distinct (%)44.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean229.22222
Minimum0
Maximum877
Zeros12
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-04-11T13:54:40.393076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q3582
95-th percentile814
Maximum877
Range877
Interquartile range (IQR)582

Descriptive statistics

Standard deviation335.44726
Coefficient of variation (CV)1.4634151
Kurtosis-1.0635537
Mean229.22222
Median Absolute Deviation (MAD)2
Skewness0.89069935
Sum8252
Variance112524.86
MonotonicityNot monotonic
2024-04-11T13:54:40.485564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 12
33.3%
2 7
19.4%
1 4
 
11.1%
877 1
 
2.8%
634 1
 
2.8%
485 1
 
2.8%
589 1
 
2.8%
581 1
 
2.8%
566 1
 
2.8%
585 1
 
2.8%
Other values (6) 6
16.7%
ValueCountFrequency (%)
0 12
33.3%
1 4
 
11.1%
2 7
19.4%
3 1
 
2.8%
485 1
 
2.8%
566 1
 
2.8%
581 1
 
2.8%
585 1
 
2.8%
589 1
 
2.8%
634 1
 
2.8%
ValueCountFrequency (%)
877 1
2.8%
853 1
2.8%
801 1
2.8%
790 1
2.8%
772 1
2.8%
698 1
2.8%
634 1
2.8%
589 1
2.8%
585 1
2.8%
581 1
2.8%

중학교수(개)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct24
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean115.58333
Minimum0
Maximum383
Zeros12
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-04-11T13:54:40.579149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median35.5
Q3288.25
95-th percentile349.25
Maximum383
Range383
Interquartile range (IQR)288.25

Descriptive statistics

Standard deviation142.14588
Coefficient of variation (CV)1.2298129
Kurtosis-1.3149765
Mean115.58333
Median Absolute Deviation (MAD)35.5
Skewness0.77230819
Sum4161
Variance20205.45
MonotonicityNot monotonic
2024-04-11T13:54:40.695095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 12
33.3%
307 2
 
5.6%
383 1
 
2.8%
287 1
 
2.8%
40 1
 
2.8%
239 1
 
2.8%
42 1
 
2.8%
308 1
 
2.8%
38 1
 
2.8%
292 1
 
2.8%
Other values (14) 14
38.9%
ValueCountFrequency (%)
0 12
33.3%
26 1
 
2.8%
30 1
 
2.8%
31 1
 
2.8%
32 1
 
2.8%
34 1
 
2.8%
35 1
 
2.8%
36 1
 
2.8%
38 1
 
2.8%
40 1
 
2.8%
ValueCountFrequency (%)
383 1
2.8%
350 1
2.8%
349 1
2.8%
324 1
2.8%
308 1
2.8%
307 2
5.6%
298 1
2.8%
292 1
2.8%
287 1
2.8%
281 1
2.8%

고등학교수(개)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct22
Distinct (%)61.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.277778
Minimum0
Maximum257
Zeros12
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-04-11T13:54:40.815439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median62.5
Q3212.25
95-th percentile245
Maximum257
Range257
Interquartile range (IQR)212.25

Descriptive statistics

Standard deviation98.995992
Coefficient of variation (CV)1.017663
Kurtosis-1.4453745
Mean97.277778
Median Absolute Deviation (MAD)62.5
Skewness0.55378859
Sum3502
Variance9800.2063
MonotonicityNot monotonic
2024-04-11T13:54:40.941528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 12
33.3%
63 2
 
5.6%
245 2
 
5.6%
70 2
 
5.6%
257 1
 
2.8%
62 1
 
2.8%
210 1
 
2.8%
53 1
 
2.8%
222 1
 
2.8%
54 1
 
2.8%
Other values (12) 12
33.3%
ValueCountFrequency (%)
0 12
33.3%
53 1
 
2.8%
54 1
 
2.8%
55 1
 
2.8%
58 1
 
2.8%
61 1
 
2.8%
62 1
 
2.8%
63 2
 
5.6%
68 1
 
2.8%
69 1
 
2.8%
ValueCountFrequency (%)
257 1
2.8%
245 2
5.6%
243 1
2.8%
242 1
2.8%
239 1
2.8%
233 1
2.8%
222 1
2.8%
219 1
2.8%
210 1
2.8%
202 1
2.8%

Interactions

2024-04-11T13:54:38.726723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:54:36.388309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:54:36.971945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:54:37.420988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:54:37.843869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:54:38.269276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:54:38.796099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:54:36.500601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:54:37.040787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:54:37.488137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:54:37.908934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:54:38.345269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:54:38.893638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:54:36.699542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:54:37.113510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:54:37.564940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:54:37.978889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:54:38.429760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:54:38.963276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:54:36.771844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:54:37.190385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:54:37.635086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:54:38.045868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:54:38.508165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:54:39.024720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:54:36.836350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:54:37.260408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:54:37.699157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:54:38.115798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:54:38.579919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:54:39.098202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:54:36.907332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:54:37.342495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:54:37.775095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:54:38.199795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:54:38.656497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-11T13:54:41.026925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년도학교유형명전체학교수(개)유치원수(개)초등학교수(개)중학교수(개)고등학교수(개)
기준년도1.0000.0000.0000.0000.0000.0000.000
학교유형명0.0001.0000.8800.9730.9140.9511.000
전체학교수(개)0.0000.8801.0000.7270.9200.9070.922
유치원수(개)0.0000.9730.7271.0000.7020.7620.849
초등학교수(개)0.0000.9140.9200.7021.0000.9650.797
중학교수(개)0.0000.9510.9070.7620.9651.0000.767
고등학교수(개)0.0001.0000.9220.8490.7970.7671.000
2024-04-11T13:54:41.124252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년도전체학교수(개)유치원수(개)초등학교수(개)중학교수(개)고등학교수(개)학교유형명
기준년도1.0000.0780.0440.1680.1030.1340.000
전체학교수(개)0.0781.0000.8330.9520.9860.9600.816
유치원수(개)0.0440.8331.0000.7270.7800.7500.726
초등학교수(개)0.1680.9520.7271.0000.9610.9750.615
중학교수(개)0.1030.9860.7800.9611.0000.9570.696
고등학교수(개)0.1340.9600.7500.9750.9571.0000.969
학교유형명0.0000.8160.7260.6150.6960.9691.000

Missing values

2024-04-11T13:54:39.365660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-11T13:54:39.457719image/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

기준년도학교유형명전체학교수(개)유치원수(개)초등학교수(개)중학교수(개)고등학교수(개)
02023공립1619102877383257
12023국립00000
22023사립1857134863
32022공립153284853350245
42022국립00000
52022사립1806424470
62021공립1489108790349242
72021국립00000
82021사립1757913461
92020공립146494801324245
기준년도학교유형명전체학교수(개)유치원수(개)초등학교수(개)중학교수(개)고등학교수(개)
262015사립1596623655
272014공립112651581292202
282014국립00000
292014사립19710413854
302013공립115334589308222
312013국립00000
322013사립24715114253
332012공립95622485239210
342012국립00000
352012사립30018914070