Overview

Dataset statistics

Number of variables7
Number of observations108
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.7 KiB
Average record size in memory63.2 B

Variable types

Numeric6
Categorical1

Dataset

Description지역별 초등학교, 취약계층 대상 승강기 안전교육 통계정보를 제공하는 서비스
Author충청남도
URLhttps://alldam.chungnam.go.kr/bigdata/collect/view.chungnam?menuCd=DOM_000000201001001000&apiIdx=2992

Alerts

합계(명) is highly overall correlated with 초등학교 학생(명) and 3 other fieldsHigh correlation
초등학교 학생(명) is highly overall correlated with 합계(명) and 2 other fieldsHigh correlation
초등학교 교사(명) is highly overall correlated with 합계(명) and 1 other fieldsHigh correlation
취약계층 어린이(명) is highly overall correlated with 합계(명) and 1 other fieldsHigh correlation
취약계층 부모등기타(명) is highly overall correlated with 합계(명) and 2 other fieldsHigh correlation
합계(명) has unique valuesUnique
초등학교 학생(명) has unique valuesUnique
취약계층 어린이(명) has 11 (10.2%) zerosZeros
취약계층 부모등기타(명) has 10 (9.3%) zerosZeros

Reproduction

Analysis started2024-01-09 22:45:20.128108
Analysis finished2024-01-09 22:45:23.546190
Duration3.42 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년도
Real number (ℝ)

Distinct6
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2018.5
Minimum2016
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-01-10T07:45:23.591786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2016
5-th percentile2016
Q12017
median2018.5
Q32020
95-th percentile2021
Maximum2021
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.7157871
Coefficient of variation (CV)0.00085003075
Kurtosis-1.2716396
Mean2018.5
Median Absolute Deviation (MAD)1.5
Skewness0
Sum217998
Variance2.9439252
MonotonicityIncreasing
2024-01-10T07:45:23.706796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2016 18
16.7%
2017 18
16.7%
2018 18
16.7%
2019 18
16.7%
2020 18
16.7%
2021 18
16.7%
ValueCountFrequency (%)
2016 18
16.7%
2017 18
16.7%
2018 18
16.7%
2019 18
16.7%
2020 18
16.7%
2021 18
16.7%
ValueCountFrequency (%)
2021 18
16.7%
2020 18
16.7%
2019 18
16.7%
2018 18
16.7%
2017 18
16.7%
2016 18
16.7%

지역
Categorical

Distinct18
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size996.0 B
합계
 
6
서울
 
6
부산
 
6
대구
 
6
인천
 
6
Other values (13)
78 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row합계
2nd row서울
3rd row부산
4th row대구
5th row인천

Common Values

ValueCountFrequency (%)
합계 6
 
5.6%
서울 6
 
5.6%
부산 6
 
5.6%
대구 6
 
5.6%
인천 6
 
5.6%
광주 6
 
5.6%
대전 6
 
5.6%
울산 6
 
5.6%
세종 6
 
5.6%
경기 6
 
5.6%
Other values (8) 48
44.4%

Length

2024-01-10T07:45:23.838318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
합계 6
 
5.6%
서울 6
 
5.6%
경남 6
 
5.6%
경북 6
 
5.6%
전남 6
 
5.6%
전북 6
 
5.6%
충남 6
 
5.6%
충북 6
 
5.6%
강원 6
 
5.6%
경기 6
 
5.6%
Other values (8) 48
44.4%

합계(명)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct108
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53218.407
Minimum1257
Maximum659817
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-01-10T07:45:23.969749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1257
5-th percentile3775.15
Q110738
median19125
Q332129.25
95-th percentile181656.25
Maximum659817
Range658560
Interquartile range (IQR)21391.25

Descriptive statistics

Standard deviation114420.73
Coefficient of variation (CV)2.1500216
Kurtosis14.917378
Mean53218.407
Median Absolute Deviation (MAD)10064.5
Skewness3.8636599
Sum5747588
Variance1.3092103 × 1010
MonotonicityNot monotonic
2024-01-10T07:45:24.109481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
466783 1
 
0.9%
29236 1
 
0.9%
6869 1
 
0.9%
13211 1
 
0.9%
14782 1
 
0.9%
15513 1
 
0.9%
30033 1
 
0.9%
21364 1
 
0.9%
26710 1
 
0.9%
70403 1
 
0.9%
Other values (98) 98
90.7%
ValueCountFrequency (%)
1257 1
0.9%
1513 1
0.9%
1738 1
0.9%
2053 1
0.9%
2411 1
0.9%
3737 1
0.9%
3846 1
0.9%
4136 1
0.9%
4463 1
0.9%
4572 1
0.9%
ValueCountFrequency (%)
659817 1
0.9%
545505 1
0.9%
524665 1
0.9%
495289 1
0.9%
466783 1
0.9%
181735 1
0.9%
181510 1
0.9%
166791 1
0.9%
166009 1
0.9%
147066 1
0.9%

초등학교 학생(명)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct108
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39734.463
Minimum219
Maximum493840
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-01-10T07:45:24.228282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum219
5-th percentile807.55
Q15419.5
median13966
Q325488
95-th percentile138414.05
Maximum493840
Range493621
Interquartile range (IQR)20068.5

Descriptive statistics

Standard deviation88244.021
Coefficient of variation (CV)2.2208434
Kurtosis15.610755
Mean39734.463
Median Absolute Deviation (MAD)9118
Skewness3.9330886
Sum4291322
Variance7.7870072 × 109
MonotonicityNot monotonic
2024-01-10T07:45:24.347573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
379503 1
 
0.9%
23582 1
 
0.9%
6706 1
 
0.9%
12682 1
 
0.9%
14450 1
 
0.9%
15369 1
 
0.9%
26673 1
 
0.9%
21149 1
 
0.9%
26622 1
 
0.9%
66505 1
 
0.9%
Other values (98) 98
90.7%
ValueCountFrequency (%)
219 1
0.9%
307 1
0.9%
414 1
0.9%
537 1
0.9%
556 1
0.9%
691 1
0.9%
1024 1
0.9%
1169 1
0.9%
1549 1
0.9%
1995 1
0.9%
ValueCountFrequency (%)
493840 1
0.9%
458359 1
0.9%
432727 1
0.9%
379503 1
0.9%
289133 1
0.9%
139036 1
0.9%
137259 1
0.9%
126707 1
0.9%
123385 1
0.9%
110483 1
0.9%

초등학교 교사(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct84
Distinct (%)77.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean286.24074
Minimum0
Maximum7554
Zeros1
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-01-10T07:45:24.458074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q130.25
median65.5
Q3195.25
95-th percentile1122.45
Maximum7554
Range7554
Interquartile range (IQR)165

Descriptive statistics

Standard deviation841.9176
Coefficient of variation (CV)2.941292
Kurtosis54.622676
Mean286.24074
Median Absolute Deviation (MAD)49.5
Skewness6.8612938
Sum30914
Variance708825.25
MonotonicityNot monotonic
2024-01-10T07:45:24.578901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 4
 
3.7%
43 4
 
3.7%
34 3
 
2.8%
80 3
 
2.8%
31 3
 
2.8%
41 2
 
1.9%
2 2
 
1.9%
28 2
 
1.9%
74 2
 
1.9%
84 2
 
1.9%
Other values (74) 81
75.0%
ValueCountFrequency (%)
0 1
 
0.9%
1 2
1.9%
2 2
1.9%
3 4
3.7%
6 1
 
0.9%
9 1
 
0.9%
10 1
 
0.9%
11 1
 
0.9%
13 1
 
0.9%
14 1
 
0.9%
ValueCountFrequency (%)
7554 1
0.9%
3671 1
0.9%
2004 1
0.9%
1313 1
0.9%
1249 1
0.9%
1148 1
0.9%
1075 1
0.9%
760 1
0.9%
696 1
0.9%
652 1
0.9%

취약계층 어린이(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct94
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8138.8519
Minimum0
Maximum144255
Zeros11
Zeros (%)10.2%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-01-10T07:45:24.711299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1352
median2674.5
Q37025
95-th percentile38987.2
Maximum144255
Range144255
Interquartile range (IQR)6673

Descriptive statistics

Standard deviation18724.986
Coefficient of variation (CV)2.3006914
Kurtosis28.838894
Mean8138.8519
Median Absolute Deviation (MAD)2554.5
Skewness4.8754715
Sum878996
Variance3.5062511 × 108
MonotonicityNot monotonic
2024-01-10T07:45:24.823969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11
 
10.2%
3300 2
 
1.9%
70 2
 
1.9%
30 2
 
1.9%
80 2
 
1.9%
57245 1
 
0.9%
1455 1
 
0.9%
437 1
 
0.9%
198 1
 
0.9%
3216 1
 
0.9%
Other values (84) 84
77.8%
ValueCountFrequency (%)
0 11
10.2%
30 2
 
1.9%
60 1
 
0.9%
70 2
 
1.9%
80 2
 
1.9%
160 1
 
0.9%
191 1
 
0.9%
198 1
 
0.9%
210 1
 
0.9%
211 1
 
0.9%
ValueCountFrequency (%)
144255 1
0.9%
83785 1
0.9%
65359 1
0.9%
57245 1
0.9%
47995 1
0.9%
40859 1
0.9%
35511 1
0.9%
22591 1
0.9%
19161 1
0.9%
17629 1
0.9%

취약계층 부모등기타(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct97
Distinct (%)89.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5058.8519
Minimum0
Maximum78521
Zeros10
Zeros (%)9.3%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-01-10T07:45:24.945947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1396.25
median1650
Q33659
95-th percentile21317.95
Maximum78521
Range78521
Interquartile range (IQR)3262.75

Descriptive statistics

Standard deviation11836.389
Coefficient of variation (CV)2.3397382
Kurtosis22.767483
Mean5058.8519
Median Absolute Deviation (MAD)1495.5
Skewness4.5657446
Sum546356
Variance1.401001 × 108
MonotonicityNot monotonic
2024-01-10T07:45:25.409866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10
 
9.3%
141 2
 
1.9%
26 2
 
1.9%
22481 1
 
0.9%
2659 1
 
0.9%
131 1
 
0.9%
133 1
 
0.9%
154 1
 
0.9%
45 1
 
0.9%
340 1
 
0.9%
Other values (87) 87
80.6%
ValueCountFrequency (%)
0 10
9.3%
20 1
 
0.9%
26 2
 
1.9%
45 1
 
0.9%
48 1
 
0.9%
120 1
 
0.9%
131 1
 
0.9%
133 1
 
0.9%
141 2
 
1.9%
154 1
 
0.9%
ValueCountFrequency (%)
78521 1
0.9%
64087 1
0.9%
60753 1
0.9%
24134 1
0.9%
23202 1
0.9%
22481 1
0.9%
19158 1
0.9%
18208 1
0.9%
14879 1
0.9%
13546 1
0.9%

Interactions

2024-01-10T07:45:22.917225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:45:20.333415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:45:21.012131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:45:21.494431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:45:21.960146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:45:22.430550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:45:22.992263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:45:20.399773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:45:21.101683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:45:21.570882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:45:22.033311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:45:22.505532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:45:23.067550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:45:20.470306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:45:21.191138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:45:21.647343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:45:22.111070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:45:22.588043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:45:23.141631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:45:20.558238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:45:21.258885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:45:21.718961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:45:22.187577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:45:22.665121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:45:23.218759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:45:20.631996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:45:21.336181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:45:21.803283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:45:22.264680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:45:22.746800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:45:23.302164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:45:20.701646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:45:21.411887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:45:21.877062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:45:22.344385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:45:22.830375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T07:45:25.539324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년도지역합계(명)초등학교 학생(명)초등학교 교사(명)취약계층 어린이(명)취약계층 부모등기타(명)
기준년도1.0000.0000.0000.0000.0000.2420.006
지역0.0001.0000.8510.7840.4490.5000.462
합계(명)0.0000.8511.0000.9270.7910.8550.886
초등학교 학생(명)0.0000.7840.9271.0000.8100.9670.973
초등학교 교사(명)0.0000.4490.7910.8101.0000.8040.762
취약계층 어린이(명)0.2420.5000.8550.9670.8041.0000.978
취약계층 부모등기타(명)0.0060.4620.8860.9730.7620.9781.000
2024-01-10T07:45:25.639122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년도합계(명)초등학교 학생(명)초등학교 교사(명)취약계층 어린이(명)취약계층 부모등기타(명)지역
기준년도1.0000.2260.318-0.361-0.2280.1490.000
합계(명)0.2261.0000.9140.5970.5850.7000.491
초등학교 학생(명)0.3180.9141.0000.5680.3070.5030.471
초등학교 교사(명)-0.3610.5970.5681.0000.4820.3650.229
취약계층 어린이(명)-0.2280.5850.3070.4821.0000.6870.233
취약계층 부모등기타(명)0.1490.7000.5030.3650.6871.0000.210
지역0.0000.4910.4710.2290.2330.2101.000

Missing values

2024-01-10T07:45:23.409353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T07:45:23.506793image/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

기준년도지역합계(명)초등학교 학생(명)초등학교 교사(명)취약계층 어린이(명)취약계층 부모등기타(명)
02016합계46678337950375545724522481
12016서울866177522065254685277
22016부산441403443576048324113
32016대구23449191804903300479
42016인천270182643358500
52016광주16912138301952234653
62016대전138101348332700
72016울산7412730410800
82016세종64073535802052740
92016경기1275541104832004106974370
기준년도지역합계(명)초등학교 학생(명)초등학교 교사(명)취약계층 어린이(명)취약계층 부모등기타(명)
982021세종6171526828250625
992021경기1815101267071343551119158
1002021강원124241101016801318
1012021충북1569113154198901628
1022021충남2125318795251912242
1032021전북159301416518701677
1042021전남156611384077701674
1052021경북228632027865602460
1062021경남43806327248021618841
1072021제주789968426210841