Overview

Dataset statistics

Number of variables11
Number of observations234
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory22.5 KiB
Average record size in memory98.6 B

Variable types

Numeric10
Categorical1

Dataset

Description통계연도,자치구코드,자치구명,시설수합계,어린이집수_국공립,어린이집수_사회복지법인,어린이집수_법인단체등,어린이집수_민간,어린이집수_가정,어린이집수_부모협동,어린이집수_직장
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-15457/S/1/datasetView.do

Alerts

통계연도 is highly overall correlated with 어린이집수_국공립High correlation
자치구코드 is highly overall correlated with 자치구명High correlation
시설수합계 is highly overall correlated with 어린이집수_민간 and 1 other fieldsHigh correlation
어린이집수_국공립 is highly overall correlated with 통계연도High correlation
어린이집수_민간 is highly overall correlated with 시설수합계 and 1 other fieldsHigh correlation
어린이집수_가정 is highly overall correlated with 시설수합계 and 1 other fieldsHigh correlation
어린이집수_부모협동 is highly overall correlated with 자치구명High correlation
자치구명 is highly overall correlated with 자치구코드 and 1 other fieldsHigh correlation
어린이집수_사회복지법인 has 91 (38.9%) zerosZeros
어린이집수_법인단체등 has 17 (7.3%) zerosZeros
어린이집수_부모협동 has 67 (28.6%) zerosZeros

Reproduction

Analysis started2024-04-06 12:43:42.295603
Analysis finished2024-04-06 12:44:04.162230
Duration21.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

통계연도
Real number (ℝ)

HIGH CORRELATION 

Distinct9
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2018
Minimum2014
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-04-06T21:44:04.272784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2014
5-th percentile2014
Q12016
median2018
Q32020
95-th percentile2022
Maximum2022
Range8
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.5875237
Coefficient of variation (CV)0.0012822219
Kurtosis-1.2306062
Mean2018
Median Absolute Deviation (MAD)2
Skewness0
Sum472212
Variance6.695279
MonotonicityDecreasing
2024-04-06T21:44:04.545399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
2022 26
11.1%
2021 26
11.1%
2020 26
11.1%
2019 26
11.1%
2018 26
11.1%
2017 26
11.1%
2016 26
11.1%
2015 26
11.1%
2014 26
11.1%
ValueCountFrequency (%)
2014 26
11.1%
2015 26
11.1%
2016 26
11.1%
2017 26
11.1%
2018 26
11.1%
2019 26
11.1%
2020 26
11.1%
2021 26
11.1%
2022 26
11.1%
ValueCountFrequency (%)
2022 26
11.1%
2021 26
11.1%
2020 26
11.1%
2019 26
11.1%
2018 26
11.1%
2017 26
11.1%
2016 26
11.1%
2015 26
11.1%
2014 26
11.1%

자치구코드
Real number (ℝ)

HIGH CORRELATION 

Distinct26
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11400.577
Minimum11000
Maximum11740
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-04-06T21:44:04.782184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11000
5-th percentile11110
Q111230
median11395
Q311560
95-th percentile11710
Maximum11740
Range740
Interquartile range (IQR)330

Descriptive statistics

Standard deviation199.94309
Coefficient of variation (CV)0.01753798
Kurtosis-1.0021198
Mean11400.577
Median Absolute Deviation (MAD)165
Skewness-0.047847509
Sum2667735
Variance39977.241
MonotonicityNot monotonic
2024-04-06T21:44:05.168693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
11000 9
 
3.8%
11380 9
 
3.8%
11110 9
 
3.8%
11140 9
 
3.8%
11170 9
 
3.8%
11200 9
 
3.8%
11215 9
 
3.8%
11230 9
 
3.8%
11260 9
 
3.8%
11290 9
 
3.8%
Other values (16) 144
61.5%
ValueCountFrequency (%)
11000 9
3.8%
11110 9
3.8%
11140 9
3.8%
11170 9
3.8%
11200 9
3.8%
11215 9
3.8%
11230 9
3.8%
11260 9
3.8%
11290 9
3.8%
11305 9
3.8%
ValueCountFrequency (%)
11740 9
3.8%
11710 9
3.8%
11680 9
3.8%
11650 9
3.8%
11620 9
3.8%
11590 9
3.8%
11560 9
3.8%
11545 9
3.8%
11530 9
3.8%
11500 9
3.8%

자치구명
Categorical

HIGH CORRELATION 

Distinct26
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
 
9
송파
 
9
강남
 
9
서초
 
9
관악
 
9
Other values (21)
189 

Length

Max length3
Median length2
Mean length2.0769231
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row
2nd row송파
3rd row강남
4th row서초
5th row관악

Common Values

ValueCountFrequency (%)
9
 
3.8%
송파 9
 
3.8%
강남 9
 
3.8%
서초 9
 
3.8%
관악 9
 
3.8%
동작 9
 
3.8%
영등포 9
 
3.8%
금천 9
 
3.8%
구로 9
 
3.8%
강서 9
 
3.8%
Other values (16) 144
61.5%

Length

2024-04-06T21:44:05.470026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
9
 
3.8%
송파 9
 
3.8%
중구 9
 
3.8%
용산 9
 
3.8%
성동 9
 
3.8%
광진 9
 
3.8%
동대문 9
 
3.8%
중랑 9
 
3.8%
성북 9
 
3.8%
강북 9
 
3.8%
Other values (16) 144
61.5%

시설수합계
Real number (ℝ)

HIGH CORRELATION 

Distinct166
Distinct (%)70.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean451.4188
Minimum64
Maximum6787
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-04-06T21:44:05.722982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum64
5-th percentile74.65
Q1179
median229
Q3297.5
95-th percentile483.6
Maximum6787
Range6723
Interquartile range (IQR)118.5

Descriptive statistics

Standard deviation1097.8301
Coefficient of variation (CV)2.4319547
Kurtosis22.577595
Mean451.4188
Median Absolute Deviation (MAD)55.5
Skewness4.8818499
Sum105632
Variance1205230.9
MonotonicityNot monotonic
2024-04-06T21:44:05.976418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
332 3
 
1.3%
221 3
 
1.3%
201 3
 
1.3%
210 3
 
1.3%
244 3
 
1.3%
190 3
 
1.3%
238 3
 
1.3%
67 3
 
1.3%
206 3
 
1.3%
260 3
 
1.3%
Other values (156) 204
87.2%
ValueCountFrequency (%)
64 1
 
0.4%
65 2
0.9%
66 1
 
0.4%
67 3
1.3%
69 2
0.9%
71 1
 
0.4%
74 2
0.9%
75 1
 
0.4%
77 2
0.9%
78 1
 
0.4%
ValueCountFrequency (%)
6787 1
0.4%
6598 1
0.4%
6368 1
0.4%
6226 1
0.4%
6008 1
0.4%
5698 1
0.4%
5370 1
0.4%
5049 1
0.4%
4712 1
0.4%
542 1
0.4%

어린이집수_국공립
Real number (ℝ)

HIGH CORRELATION 

Distinct86
Distinct (%)36.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean108.05128
Minimum18
Maximum1829
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-04-06T21:44:06.265537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile23.65
Q139
median56
Q377
95-th percentile99
Maximum1829
Range1811
Interquartile range (IQR)38

Descriptive statistics

Standard deviation270.5299
Coefficient of variation (CV)2.5037176
Kurtosis27.583169
Mean108.05128
Median Absolute Deviation (MAD)19
Skewness5.2813371
Sum25284
Variance73186.427
MonotonicityNot monotonic
2024-04-06T21:44:06.547969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28 7
 
3.0%
46 7
 
3.0%
32 6
 
2.6%
39 6
 
2.6%
88 6
 
2.6%
34 6
 
2.6%
56 5
 
2.1%
53 5
 
2.1%
50 5
 
2.1%
66 5
 
2.1%
Other values (76) 176
75.2%
ValueCountFrequency (%)
18 2
 
0.9%
19 1
 
0.4%
20 1
 
0.4%
21 2
 
0.9%
22 1
 
0.4%
23 5
2.1%
24 4
1.7%
25 2
 
0.9%
26 3
1.3%
28 7
3.0%
ValueCountFrequency (%)
1829 1
0.4%
1811 1
0.4%
1749 1
0.4%
1661 1
0.4%
1481 1
0.4%
1274 1
0.4%
1071 1
0.4%
922 1
0.4%
844 1
0.4%
107 1
0.4%

어린이집수_사회복지법인
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2393162
Minimum0
Maximum36
Zeros91
Zeros (%)38.9%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-04-06T21:44:06.775917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile5
Maximum36
Range36
Interquartile range (IQR)2

Descriptive statistics

Standard deviation5.6136706
Coefficient of variation (CV)2.5068682
Kurtosis21.951796
Mean2.2393162
Median Absolute Deviation (MAD)1
Skewness4.6782714
Sum524
Variance31.513297
MonotonicityNot monotonic
2024-04-06T21:44:06.972783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 91
38.9%
1 56
23.9%
2 46
19.7%
3 20
 
8.5%
4 8
 
3.4%
5 2
 
0.9%
27 2
 
0.9%
6 2
 
0.9%
21 1
 
0.4%
23 1
 
0.4%
Other values (5) 5
 
2.1%
ValueCountFrequency (%)
0 91
38.9%
1 56
23.9%
2 46
19.7%
3 20
 
8.5%
4 8
 
3.4%
5 2
 
0.9%
6 2
 
0.9%
21 1
 
0.4%
23 1
 
0.4%
27 2
 
0.9%
ValueCountFrequency (%)
36 1
0.4%
35 1
0.4%
33 1
0.4%
32 1
0.4%
28 1
0.4%
27 2
0.9%
23 1
0.4%
21 1
0.4%
6 2
0.9%
5 2
0.9%

어린이집수_법인단체등
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.6923077
Minimum0
Maximum154
Zeros17
Zeros (%)7.3%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-04-06T21:44:07.168180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q37
95-th percentile17.7
Maximum154
Range154
Interquartile range (IQR)5

Descriptive statistics

Standard deviation21.744897
Coefficient of variation (CV)2.5016253
Kurtosis24.532326
Mean8.6923077
Median Absolute Deviation (MAD)2
Skewness4.927015
Sum2034
Variance472.84054
MonotonicityNot monotonic
2024-04-06T21:44:07.456841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
3 45
19.2%
2 40
17.1%
1 25
10.7%
0 17
 
7.3%
4 17
 
7.3%
5 17
 
7.3%
7 15
 
6.4%
9 12
 
5.1%
10 7
 
3.0%
6 7
 
3.0%
Other values (18) 32
13.7%
ValueCountFrequency (%)
0 17
 
7.3%
1 25
10.7%
2 40
17.1%
3 45
19.2%
4 17
 
7.3%
5 17
 
7.3%
6 7
 
3.0%
7 15
 
6.4%
8 6
 
2.6%
9 12
 
5.1%
ValueCountFrequency (%)
154 1
0.4%
141 1
0.4%
131 1
0.4%
116 1
0.4%
106 1
0.4%
101 1
0.4%
92 2
0.9%
84 1
0.4%
22 1
0.4%
20 1
0.4%

어린이집수_민간
Real number (ℝ)

HIGH CORRELATION 

Distinct120
Distinct (%)51.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean130.05983
Minimum3
Maximum2273
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-04-06T21:44:07.743174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile8
Q143
median65.5
Q394.5
95-th percentile169.85
Maximum2273
Range2270
Interquartile range (IQR)51.5

Descriptive statistics

Standard deviation325.95266
Coefficient of variation (CV)2.5061748
Kurtosis27.040368
Mean130.05983
Median Absolute Deviation (MAD)24
Skewness5.2062301
Sum30434
Variance106245.14
MonotonicityNot monotonic
2024-04-06T21:44:08.383618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
43 7
 
3.0%
79 7
 
3.0%
45 6
 
2.6%
8 5
 
2.1%
56 5
 
2.1%
68 4
 
1.7%
95 4
 
1.7%
48 4
 
1.7%
17 4
 
1.7%
63 4
 
1.7%
Other values (110) 184
78.6%
ValueCountFrequency (%)
3 3
1.3%
5 1
 
0.4%
6 1
 
0.4%
7 3
1.3%
8 5
2.1%
9 1
 
0.4%
11 1
 
0.4%
16 1
 
0.4%
17 4
1.7%
18 1
 
0.4%
ValueCountFrequency (%)
2273 1
0.4%
2174 1
0.4%
2054 1
0.4%
1939 1
0.4%
1734 1
0.4%
1512 1
0.4%
1326 1
0.4%
1162 1
0.4%
1043 1
0.4%
201 1
0.4%

어린이집수_가정
Real number (ℝ)

HIGH CORRELATION 

Distinct149
Distinct (%)63.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean180.88889
Minimum2
Maximum3277
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-04-06T21:44:08.639781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile11.65
Q151.25
median81.5
Q3124.5
95-th percentile339.1
Maximum3277
Range3275
Interquartile range (IQR)73.25

Descriptive statistics

Standard deviation456.41195
Coefficient of variation (CV)2.5231619
Kurtosis27.276093
Mean180.88889
Median Absolute Deviation (MAD)33.5
Skewness5.1914604
Sum42328
Variance208311.87
MonotonicityNot monotonic
2024-04-06T21:44:08.906480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
51 6
 
2.6%
76 5
 
2.1%
94 4
 
1.7%
47 4
 
1.7%
79 4
 
1.7%
106 4
 
1.7%
65 3
 
1.3%
83 3
 
1.3%
53 3
 
1.3%
38 3
 
1.3%
Other values (139) 195
83.3%
ValueCountFrequency (%)
2 1
0.4%
3 2
0.9%
4 2
0.9%
5 1
0.4%
7 1
0.4%
8 2
0.9%
9 1
0.4%
10 1
0.4%
11 1
0.4%
12 1
0.4%
ValueCountFrequency (%)
3277 1
0.4%
3105 1
0.4%
2824 1
0.4%
2592 1
0.4%
2369 1
0.4%
2098 1
0.4%
1857 1
0.4%
1637 1
0.4%
1405 1
0.4%
412 1
0.4%

어린이집수_부모협동
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct13
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2478632
Minimum0
Maximum33
Zeros67
Zeros (%)28.6%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-04-06T21:44:09.117121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile6
Maximum33
Range33
Interquartile range (IQR)2

Descriptive statistics

Standard deviation5.5687756
Coefficient of variation (CV)2.477364
Kurtosis19.895433
Mean2.2478632
Median Absolute Deviation (MAD)1
Skewness4.5224268
Sum526
Variance31.011262
MonotonicityNot monotonic
2024-04-06T21:44:09.329857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1 106
45.3%
0 67
28.6%
2 28
 
12.0%
4 12
 
5.1%
3 6
 
2.6%
6 5
 
2.1%
33 2
 
0.9%
29 2
 
0.9%
27 2
 
0.9%
26 1
 
0.4%
Other values (3) 3
 
1.3%
ValueCountFrequency (%)
0 67
28.6%
1 106
45.3%
2 28
 
12.0%
3 6
 
2.6%
4 12
 
5.1%
5 1
 
0.4%
6 5
 
2.1%
26 1
 
0.4%
27 2
 
0.9%
28 1
 
0.4%
ValueCountFrequency (%)
33 2
 
0.9%
31 1
 
0.4%
29 2
 
0.9%
28 1
 
0.4%
27 2
 
0.9%
26 1
 
0.4%
6 5
2.1%
5 1
 
0.4%
4 12
5.1%
3 6
2.6%

어린이집수_직장
Real number (ℝ)

Distinct46
Distinct (%)19.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.239316
Minimum1
Maximum304
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-04-06T21:44:09.561957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median7
Q316
95-th percentile35.35
Maximum304
Range303
Interquartile range (IQR)11

Descriptive statistics

Standard deviation47.727166
Coefficient of variation (CV)2.4807101
Kurtosis22.831226
Mean19.239316
Median Absolute Deviation (MAD)4
Skewness4.822079
Sum4502
Variance2277.8824
MonotonicityNot monotonic
2024-04-06T21:44:09.806309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
5 34
14.5%
7 27
 
11.5%
2 26
 
11.1%
8 16
 
6.8%
3 16
 
6.8%
9 13
 
5.6%
6 10
 
4.3%
4 9
 
3.8%
19 6
 
2.6%
18 6
 
2.6%
Other values (36) 71
30.3%
ValueCountFrequency (%)
1 4
 
1.7%
2 26
11.1%
3 16
6.8%
4 9
 
3.8%
5 34
14.5%
6 10
 
4.3%
7 27
11.5%
8 16
6.8%
9 13
 
5.6%
10 3
 
1.3%
ValueCountFrequency (%)
304 1
0.4%
296 1
0.4%
288 1
0.4%
265 1
0.4%
258 1
0.4%
244 1
0.4%
226 1
0.4%
194 1
0.4%
176 1
0.4%
37 1
0.4%

Interactions

2024-04-06T21:44:01.701072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:43.100640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:45.173637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:47.743093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:50.225053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:52.175525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:54.078433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:56.118079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:57.667014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:59.904174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:44:01.965492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:43.347455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:45.438999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:48.029145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:50.492476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:52.362709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:54.289765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:56.293045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:57.885036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:44:00.101603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:44:02.159756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:43.521377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:45.646765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:48.233282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:50.696557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:52.562562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:54.507528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:56.464902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:58.083657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:44:00.286704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:44:02.329896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:43.711338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:45.893753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:48.465518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:50.914448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:52.761050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:54.708387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:56.615642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:58.663003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:44:00.456612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:44:02.506405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:43.891432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:46.103656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:48.718617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:51.126431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:52.965194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:54.891071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:56.767973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:58.813430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:44:00.632874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:44:02.662216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:44.082664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:46.324631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:48.942571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:51.325993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:53.167659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:55.072205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:56.917599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:58.983586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:44:00.814498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:44:02.827389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:44.327844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:46.534773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:49.185649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:51.513170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:53.358761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:55.328197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:57.088818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:59.166261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:44:01.016130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:44:03.000037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:44.521373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:46.737238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:49.379904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:51.680620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:53.513600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:55.606267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:57.223989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:59.359260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:44:01.181945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:44:03.173201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:44.706035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:46.942424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:49.681357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:51.857325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:53.708693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:55.764368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:57.362755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:59.542102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:44:01.348314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:44:03.345982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:44.909889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:47.561881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:49.977696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:52.018057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:53.910309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:55.934756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:57.514157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:43:59.748159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:44:01.536950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T21:44:10.009856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
통계연도자치구코드자치구명시설수합계어린이집수_국공립어린이집수_사회복지법인어린이집수_법인단체등어린이집수_민간어린이집수_가정어린이집수_부모협동어린이집수_직장
통계연도1.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
자치구코드0.0001.0001.000NaNNaN0.3960.323NaN0.3180.4000.221
자치구명0.0001.0001.0000.6740.6040.7330.7050.5330.6570.8580.682
시설수합계0.000NaN0.6741.0000.8530.9350.9091.0000.9080.9850.865
어린이집수_국공립0.000NaN0.6040.8531.0000.8960.9640.9460.9560.7750.918
어린이집수_사회복지법인0.0000.3960.7330.9350.8961.0000.9740.9910.9070.9090.944
어린이집수_법인단체등0.0000.3230.7050.9090.9640.9741.0000.9860.9350.8090.986
어린이집수_민간0.000NaN0.5331.0000.9460.9910.9861.0000.9350.8860.962
어린이집수_가정0.0000.3180.6570.9080.9560.9070.9350.9351.0000.8400.924
어린이집수_부모협동0.0000.4000.8580.9850.7750.9090.8090.8860.8401.0000.760
어린이집수_직장0.0000.2210.6820.8650.9180.9440.9860.9620.9240.7601.000
2024-04-06T21:44:10.291999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
통계연도자치구코드시설수합계어린이집수_국공립어린이집수_사회복지법인어린이집수_법인단체등어린이집수_민간어린이집수_가정어린이집수_부모협동어린이집수_직장자치구명
통계연도1.0000.000-0.2660.616-0.109-0.192-0.434-0.3910.0360.1910.000
자치구코드0.0001.0000.3190.222-0.006-0.3030.2410.2660.1170.0060.964
시설수합계-0.2660.3191.0000.3630.4540.1010.8290.9540.357-0.0550.381
어린이집수_국공립0.6160.2220.3631.0000.111-0.0890.0730.2470.3460.2210.308
어린이집수_사회복지법인-0.109-0.0060.4540.1111.0000.2480.3230.4360.1900.0840.402
어린이집수_법인단체등-0.192-0.3030.101-0.0890.2481.0000.2260.0740.193-0.0090.375
어린이집수_민간-0.4340.2410.8290.0730.3230.2261.0000.7740.333-0.3020.247
어린이집수_가정-0.3910.2660.9540.2470.4360.0740.7741.0000.323-0.0600.317
어린이집수_부모협동0.0360.1170.3570.3460.1900.1930.3330.3231.0000.0200.593
어린이집수_직장0.1910.006-0.0550.2210.084-0.009-0.302-0.0600.0201.0000.354
자치구명0.0000.9640.3810.3080.4020.3750.2470.3170.5930.3541.000

Missing values

2024-04-06T21:44:03.574071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T21:44:04.011928image/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

통계연도자치구코드자치구명시설수합계어린이집수_국공립어린이집수_사회복지법인어린이집수_법인단체등어린이집수_민간어린이집수_가정어린이집수_부모협동어린이집수_직장
02022110004712182921841043140526304
1202211710송파3351072385119118
2202211680강남18363004537137
3202211650서초17088012235222
4202211620관악1858224454705
5202211590동작1687002375018
6202211560영등포22482124162036
7202211545금천1285519352107
8202211530구로2669934589138
9202211500강서312921576118317
통계연도자치구코드자치구명시설수합계어린이집수_국공립어린이집수_사회복지법인어린이집수_법인단체등어린이집수_민간어린이집수_가정어린이집수_부모협동어린이집수_직장
224201411380은평3562611120111412
225201411350노원54234618241216
226201411320도봉29624128917721
227201411305강북2042524918011
228201411290성북3383822211415813
229201411260중랑276301411412502
230201411230동대문23337037910707
231201411215광진22924051167923
232201411200성동1945103488705
233201411170용산13220210415117