Overview

Dataset statistics

Number of variables13
Number of observations63
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.3 KiB
Average record size in memory118.1 B

Variable types

Numeric11
Categorical2

Dataset

Description통계연도,어린이집유형코드,어린이집유형 명칭,전체_교직원수,전체_원장수,전체_보육교사수,전체_특수교사수,전체_치료사수,전체_영양사수,전체_간호사수,전체_사무원수,전체_조리원수,전체_기타수
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-15453/S/1/datasetView.do

Alerts

전체_사무원수 has constant value ""Constant
어린이집유형코드 is highly overall correlated with 전체_특수교사수 and 2 other fieldsHigh correlation
전체_교직원수 is highly overall correlated with 전체_원장수 and 6 other fieldsHigh correlation
전체_원장수 is highly overall correlated with 전체_교직원수 and 3 other fieldsHigh correlation
전체_보육교사수 is highly overall correlated with 전체_교직원수 and 6 other fieldsHigh correlation
전체_특수교사수 is highly overall correlated with 어린이집유형코드 and 3 other fieldsHigh correlation
전체_치료사수 is highly overall correlated with 어린이집유형코드 and 3 other fieldsHigh correlation
전체_영양사수 is highly overall correlated with 전체_교직원수 and 4 other fieldsHigh correlation
전체_간호사수 is highly overall correlated with 전체_교직원수 and 6 other fieldsHigh correlation
전체_조리원수 is highly overall correlated with 전체_교직원수 and 5 other fieldsHigh correlation
전체_기타수 is highly overall correlated with 전체_교직원수 and 4 other fieldsHigh correlation
어린이집유형 명칭 is highly overall correlated with 어린이집유형코드 and 5 other fieldsHigh correlation
전체_보육교사수 has unique valuesUnique
전체_특수교사수 has 18 (28.6%) zerosZeros
전체_치료사수 has 31 (49.2%) zerosZeros
전체_영양사수 has 16 (25.4%) zerosZeros
전체_간호사수 has 18 (28.6%) zerosZeros

Reproduction

Analysis started2024-04-06 13:27:20.828068
Analysis finished2024-04-06 13:27:31.984095
Duration11.16 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

통계연도
Real number (ℝ)

Distinct9
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2018
Minimum2014
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-06T22:27:32.031140image/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 deviation2.6027281
Coefficient of variation (CV)0.0012897562
Kurtosis-1.2318689
Mean2018
Median Absolute Deviation (MAD)2
Skewness0
Sum127134
Variance6.7741935
MonotonicityDecreasing
2024-04-06T22:27:32.138655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
2022 7
11.1%
2021 7
11.1%
2020 7
11.1%
2019 7
11.1%
2018 7
11.1%
2017 7
11.1%
2016 7
11.1%
2015 7
11.1%
2014 7
11.1%
ValueCountFrequency (%)
2014 7
11.1%
2015 7
11.1%
2016 7
11.1%
2017 7
11.1%
2018 7
11.1%
2019 7
11.1%
2020 7
11.1%
2021 7
11.1%
2022 7
11.1%
ValueCountFrequency (%)
2022 7
11.1%
2021 7
11.1%
2020 7
11.1%
2019 7
11.1%
2018 7
11.1%
2017 7
11.1%
2016 7
11.1%
2015 7
11.1%
2014 7
11.1%

어린이집유형코드
Real number (ℝ)

HIGH CORRELATION 

Distinct7
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean344.28571
Minimum101
Maximum603
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-06T22:27:32.241414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile101
Q1201
median302
Q3501
95-th percentile603
Maximum603
Range502
Interquartile range (IQR)300

Descriptive statistics

Standard deviation160.78461
Coefficient of variation (CV)0.46700924
Kurtosis-0.99129309
Mean344.28571
Median Absolute Deviation (MAD)101
Skewness0.13885319
Sum21690
Variance25851.691
MonotonicityNot monotonic
2024-04-06T22:27:32.356272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
101 9
14.3%
501 9
14.3%
401 9
14.3%
603 9
14.3%
302 9
14.3%
301 9
14.3%
201 9
14.3%
ValueCountFrequency (%)
101 9
14.3%
201 9
14.3%
301 9
14.3%
302 9
14.3%
401 9
14.3%
501 9
14.3%
603 9
14.3%
ValueCountFrequency (%)
603 9
14.3%
501 9
14.3%
401 9
14.3%
302 9
14.3%
301 9
14.3%
201 9
14.3%
101 9
14.3%

어린이집유형 명칭
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size636.0 B
국공립
협동
가정
직장
민간
Other values (2)
18 

Length

Max length6
Median length2
Mean length3.1428571
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row국공립
2nd row협동
3rd row가정
4th row직장
5th row민간

Common Values

ValueCountFrequency (%)
국공립 9
14.3%
협동 9
14.3%
가정 9
14.3%
직장 9
14.3%
민간 9
14.3%
법인단체등 9
14.3%
사회복지법인 9
14.3%

Length

2024-04-06T22:27:32.513699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:27:32.654083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국공립 9
14.3%
협동 9
14.3%
가정 9
14.3%
직장 9
14.3%
민간 9
14.3%
법인단체등 9
14.3%
사회복지법인 9
14.3%

전체_교직원수
Real number (ℝ)

HIGH CORRELATION 

Distinct62
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7708.6349
Minimum193
Maximum23139
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-06T22:27:32.796608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum193
5-th percentile218.9
Q1358
median4024
Q314934.5
95-th percentile21980.7
Maximum23139
Range22946
Interquartile range (IQR)14576.5

Descriptive statistics

Standard deviation7978.1207
Coefficient of variation (CV)1.034959
Kurtosis-1.1854523
Mean7708.6349
Median Absolute Deviation (MAD)3797
Skewness0.60014843
Sum485644
Variance63650410
MonotonicityNot monotonic
2024-04-06T22:27:32.932131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
218 2
 
3.2%
13505 1
 
1.6%
242 1
 
1.6%
4024 1
 
1.6%
14918 1
 
1.6%
3647 1
 
1.6%
227 1
 
1.6%
14977 1
 
1.6%
21268 1
 
1.6%
1045 1
 
1.6%
Other values (52) 52
82.5%
ValueCountFrequency (%)
193 1
1.6%
210 1
1.6%
218 2
3.2%
227 1
1.6%
239 1
1.6%
242 1
1.6%
247 1
1.6%
249 1
1.6%
258 1
1.6%
275 1
1.6%
ValueCountFrequency (%)
23139 1
1.6%
22513 1
1.6%
22062 1
1.6%
21998 1
1.6%
21825 1
1.6%
21268 1
1.6%
21190 1
1.6%
19319 1
1.6%
19274 1
1.6%
17216 1
1.6%

전체_원장수
Real number (ℝ)

HIGH CORRELATION 

Distinct55
Distinct (%)87.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean834.65079
Minimum20
Maximum3267
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-06T22:27:33.055836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile27
Q134
median256
Q31643
95-th percentile2562.4
Maximum3267
Range3247
Interquartile range (IQR)1609

Descriptive statistics

Standard deviation946.67907
Coefficient of variation (CV)1.1342217
Kurtosis-0.46134248
Mean834.65079
Median Absolute Deviation (MAD)229
Skewness0.88014561
Sum52583
Variance896201.26
MonotonicityNot monotonic
2024-04-06T22:27:33.181382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28 3
 
4.8%
27 3
 
4.8%
29 2
 
3.2%
32 2
 
3.2%
92 2
 
3.2%
33 2
 
3.2%
1825 1
 
1.6%
131 1
 
1.6%
1262 1
 
1.6%
244 1
 
1.6%
Other values (45) 45
71.4%
ValueCountFrequency (%)
20 1
 
1.6%
22 1
 
1.6%
26 1
 
1.6%
27 3
4.8%
28 3
4.8%
29 2
3.2%
30 1
 
1.6%
32 2
3.2%
33 2
3.2%
35 1
 
1.6%
ValueCountFrequency (%)
3267 1
1.6%
3096 1
1.6%
2814 1
1.6%
2585 1
1.6%
2359 1
1.6%
2267 1
1.6%
2171 1
1.6%
2091 1
1.6%
2049 1
1.6%
1936 1
1.6%

전체_보육교사수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5578.381
Minimum125
Maximum17604
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-06T22:27:33.316490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum125
5-th percentile150.2
Q1230
median2971
Q310512.5
95-th percentile16013
Maximum17604
Range17479
Interquartile range (IQR)10282.5

Descriptive statistics

Standard deviation5845.7717
Coefficient of variation (CV)1.0479334
Kurtosis-1.0572585
Mean5578.381
Median Absolute Deviation (MAD)2819
Skewness0.65109373
Sum351438
Variance34173047
MonotonicityNot monotonic
2024-04-06T22:27:33.468472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17604 1
 
1.6%
152 1
 
1.6%
2971 1
 
1.6%
10917 1
 
1.6%
2675 1
 
1.6%
150 1
 
1.6%
10266 1
 
1.6%
15567 1
 
1.6%
679 1
 
1.6%
221 1
 
1.6%
Other values (53) 53
84.1%
ValueCountFrequency (%)
125 1
1.6%
139 1
1.6%
144 1
1.6%
150 1
1.6%
152 1
1.6%
167 1
1.6%
168 1
1.6%
170 1
1.6%
175 1
1.6%
177 1
1.6%
ValueCountFrequency (%)
17604 1
1.6%
17095 1
1.6%
16026 1
1.6%
16020 1
1.6%
15950 1
1.6%
15677 1
1.6%
15567 1
1.6%
14508 1
1.6%
14121 1
1.6%
12638 1
1.6%

전체_특수교사수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct29
Distinct (%)46.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61.111111
Minimum0
Maximum410
Zeros18
Zeros (%)28.6%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-06T22:27:33.625199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median10
Q328
95-th percentile388.2
Maximum410
Range410
Interquartile range (IQR)28

Descriptive statistics

Standard deviation126.73354
Coefficient of variation (CV)2.0738216
Kurtosis2.7488316
Mean61.111111
Median Absolute Deviation (MAD)10
Skewness2.1236066
Sum3850
Variance16061.391
MonotonicityNot monotonic
2024-04-06T22:27:33.746117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 18
28.6%
2 5
 
7.9%
1 4
 
6.3%
21 4
 
6.3%
7 3
 
4.8%
23 2
 
3.2%
28 2
 
3.2%
32 2
 
3.2%
17 2
 
3.2%
14 2
 
3.2%
Other values (19) 19
30.2%
ValueCountFrequency (%)
0 18
28.6%
1 4
 
6.3%
2 5
 
7.9%
7 3
 
4.8%
8 1
 
1.6%
10 1
 
1.6%
14 2
 
3.2%
15 1
 
1.6%
16 1
 
1.6%
17 2
 
3.2%
ValueCountFrequency (%)
410 1
1.6%
395 1
1.6%
393 1
1.6%
389 1
1.6%
381 1
1.6%
374 1
1.6%
354 1
1.6%
329 1
1.6%
264 1
1.6%
33 1
1.6%

전체_치료사수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct14
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.1111111
Minimum0
Maximum60
Zeros31
Zeros (%)49.2%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-06T22:27:33.856339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile45.9
Maximum60
Range60
Interquartile range (IQR)4

Descriptive statistics

Standard deviation15.241191
Coefficient of variation (CV)2.1432925
Kurtosis4.9389954
Mean7.1111111
Median Absolute Deviation (MAD)1
Skewness2.5095503
Sum448
Variance232.29391
MonotonicityNot monotonic
2024-04-06T22:27:33.971418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 31
49.2%
3 7
 
11.1%
4 6
 
9.5%
8 3
 
4.8%
1 3
 
4.8%
2 2
 
3.2%
6 2
 
3.2%
9 2
 
3.2%
43 2
 
3.2%
57 1
 
1.6%
Other values (4) 4
 
6.3%
ValueCountFrequency (%)
0 31
49.2%
1 3
 
4.8%
2 2
 
3.2%
3 7
 
11.1%
4 6
 
9.5%
6 2
 
3.2%
8 3
 
4.8%
9 2
 
3.2%
43 2
 
3.2%
45 1
 
1.6%
ValueCountFrequency (%)
60 1
 
1.6%
57 1
 
1.6%
48 1
 
1.6%
46 1
 
1.6%
45 1
 
1.6%
43 2
 
3.2%
9 2
 
3.2%
8 3
4.8%
6 2
 
3.2%
4 6
9.5%

전체_영양사수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct27
Distinct (%)42.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.873016
Minimum0
Maximum63
Zeros16
Zeros (%)25.4%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-06T22:27:34.084177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.5
median5
Q348
95-th percentile58.9
Maximum63
Range63
Interquartile range (IQR)47.5

Descriptive statistics

Standard deviation24.718735
Coefficient of variation (CV)1.0806942
Kurtosis-1.7615133
Mean22.873016
Median Absolute Deviation (MAD)5
Skewness0.38401772
Sum1441
Variance611.01587
MonotonicityNot monotonic
2024-04-06T22:27:34.206162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 16
25.4%
4 8
12.7%
5 5
 
7.9%
3 4
 
6.3%
48 3
 
4.8%
49 2
 
3.2%
40 2
 
3.2%
58 2
 
3.2%
1 2
 
3.2%
55 2
 
3.2%
Other values (17) 17
27.0%
ValueCountFrequency (%)
0 16
25.4%
1 2
 
3.2%
2 1
 
1.6%
3 4
 
6.3%
4 8
12.7%
5 5
 
7.9%
40 2
 
3.2%
41 1
 
1.6%
42 1
 
1.6%
43 1
 
1.6%
ValueCountFrequency (%)
63 1
1.6%
61 1
1.6%
60 1
1.6%
59 1
1.6%
58 2
3.2%
57 1
1.6%
56 1
1.6%
55 2
3.2%
54 1
1.6%
52 1
1.6%

전체_간호사수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct25
Distinct (%)39.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.873016
Minimum0
Maximum74
Zeros18
Zeros (%)28.6%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-06T22:27:34.327120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q347
95-th percentile68
Maximum74
Range74
Interquartile range (IQR)47

Descriptive statistics

Standard deviation27.564875
Coefficient of variation (CV)1.1546457
Kurtosis-1.4450161
Mean23.873016
Median Absolute Deviation (MAD)3
Skewness0.55406359
Sum1504
Variance759.82232
MonotonicityNot monotonic
2024-04-06T22:27:34.439395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 18
28.6%
2 10
15.9%
3 5
 
7.9%
4 3
 
4.8%
45 3
 
4.8%
64 2
 
3.2%
47 2
 
3.2%
43 2
 
3.2%
68 2
 
3.2%
42 1
 
1.6%
Other values (15) 15
23.8%
ValueCountFrequency (%)
0 18
28.6%
2 10
15.9%
3 5
 
7.9%
4 3
 
4.8%
31 1
 
1.6%
33 1
 
1.6%
37 1
 
1.6%
40 1
 
1.6%
42 1
 
1.6%
43 2
 
3.2%
ValueCountFrequency (%)
74 1
1.6%
72 1
1.6%
71 1
1.6%
68 2
3.2%
67 1
1.6%
66 1
1.6%
64 2
3.2%
62 1
1.6%
61 1
1.6%
60 1
1.6%

전체_사무원수
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
63 

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 63
100.0%

Length

2024-04-06T22:27:34.564423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:27:34.667409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 63
100.0%

전체_조리원수
Real number (ℝ)

HIGH CORRELATION 

Distinct55
Distinct (%)87.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean620.95238
Minimum19
Maximum2140
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-06T22:27:34.793188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile22.1
Q139
median309
Q31161
95-th percentile2065.7
Maximum2140
Range2121
Interquartile range (IQR)1122

Descriptive statistics

Standard deviation713.29398
Coefficient of variation (CV)1.1487096
Kurtosis-0.48815047
Mean620.95238
Median Absolute Deviation (MAD)282
Skewness0.9734249
Sum39120
Variance508788.3
MonotonicityNot monotonic
2024-04-06T22:27:34.941324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
39 3
 
4.8%
106 2
 
3.2%
87 2
 
3.2%
23 2
 
3.2%
25 2
 
3.2%
22 2
 
3.2%
30 2
 
3.2%
2130 1
 
1.6%
1001 1
 
1.6%
398 1
 
1.6%
Other values (45) 45
71.4%
ValueCountFrequency (%)
19 1
1.6%
21 1
1.6%
22 2
3.2%
23 2
3.2%
24 1
1.6%
25 2
3.2%
26 1
1.6%
27 1
1.6%
29 1
1.6%
30 2
3.2%
ValueCountFrequency (%)
2140 1
1.6%
2130 1
1.6%
2115 1
1.6%
2068 1
1.6%
2045 1
1.6%
1986 1
1.6%
1844 1
1.6%
1828 1
1.6%
1646 1
1.6%
1615 1
1.6%

전체_기타수
Real number (ℝ)

HIGH CORRELATION 

Distinct56
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean559.68254
Minimum16
Maximum1968
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-06T22:27:35.094762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile18.1
Q127
median218
Q31107
95-th percentile1817.5
Maximum1968
Range1952
Interquartile range (IQR)1080

Descriptive statistics

Standard deviation642.36167
Coefficient of variation (CV)1.147725
Kurtosis-0.68277507
Mean559.68254
Median Absolute Deviation (MAD)199
Skewness0.94269915
Sum35260
Variance412628.51
MonotonicityNot monotonic
2024-04-06T22:27:35.265579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21 3
 
4.8%
27 3
 
4.8%
19 2
 
3.2%
22 2
 
3.2%
18 2
 
3.2%
1198 1
 
1.6%
121 1
 
1.6%
23 1
 
1.6%
1551 1
 
1.6%
1968 1
 
1.6%
Other values (46) 46
73.0%
ValueCountFrequency (%)
16 1
 
1.6%
17 1
 
1.6%
18 2
3.2%
19 2
3.2%
20 1
 
1.6%
21 3
4.8%
22 2
3.2%
23 1
 
1.6%
26 1
 
1.6%
27 3
4.8%
ValueCountFrequency (%)
1968 1
1.6%
1840 1
1.6%
1836 1
1.6%
1827 1
1.6%
1732 1
1.6%
1702 1
1.6%
1551 1
1.6%
1521 1
1.6%
1516 1
1.6%
1493 1
1.6%

Interactions

2024-04-06T22:27:30.491719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:21.159668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:22.102022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:23.008088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:23.857259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:24.728449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:25.668294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:26.790544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:27.669472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:28.595844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:29.585696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:30.582496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:21.242705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:22.191042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:23.093168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:23.940532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:24.816734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:25.758036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:26.877333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:27.759004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:28.708322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:29.682578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:30.672810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:21.323004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:22.262151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:23.184494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:24.017935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:24.897899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:25.845511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:26.954352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:27.832967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:28.822575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:29.768456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:30.764768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:21.398152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:22.333864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:23.251341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:24.087653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:24.969291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:25.917442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:27.024556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:27.907070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:28.908170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:29.851247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:30.860497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:21.480374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:22.410492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:23.325114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:24.164452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:25.050302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:26.260184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:27.109005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:27.981310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:28.995402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:29.941166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:30.950650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:21.563911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:22.495528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:23.400950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:24.246395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:25.130307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:26.338753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:27.189158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:28.062269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:29.096038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:30.036249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:31.025360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:21.647523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:22.574767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:23.470878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:24.323776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:25.205566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:26.406126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:27.273237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:28.130993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:29.167183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:30.115510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:31.106210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:21.736179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:22.668180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:23.547207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:24.404467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:25.287055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:26.478202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:27.357138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:28.205191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:29.250479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:30.187696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:31.186177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:21.826799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:22.751583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:23.625685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:24.484068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:25.371887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:26.554557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:27.436663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:28.311510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:29.332434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:30.264672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:31.272595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:21.920250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:22.830321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:23.708508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:24.565128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:25.464145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:26.634925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:27.512213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:28.412540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:29.419213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:30.342402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:31.633642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:22.002942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:22.910853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:23.774880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:24.637851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:25.573686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:26.705695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:27.585793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:28.498165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:29.495116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:27:30.411831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T22:27:35.391582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
통계연도어린이집유형코드어린이집유형 명칭전체_교직원수전체_원장수전체_보육교사수전체_특수교사수전체_치료사수전체_영양사수전체_간호사수전체_조리원수전체_기타수
통계연도1.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.185
어린이집유형코드0.0001.0001.0000.7890.6810.8010.6520.7780.6550.9050.7090.788
어린이집유형 명칭0.0001.0001.0000.7890.6810.8010.6520.7780.6550.9050.7090.788
전체_교직원수0.0000.7890.7891.0000.7980.9890.4110.6880.8670.7670.8990.797
전체_원장수0.0000.6810.6810.7981.0000.8590.5540.7600.6260.5900.7690.888
전체_보육교사수0.0000.8010.8010.9890.8591.0000.4100.6920.8580.7910.9100.810
전체_특수교사수0.0000.6520.6520.4110.5540.4101.0000.8700.4970.5960.4840.784
전체_치료사수0.0000.7780.7780.6880.7600.6920.8701.0000.6230.7360.7080.842
전체_영양사수0.0000.6550.6550.8670.6260.8580.4970.6231.0000.7290.8570.754
전체_간호사수0.0000.9050.9050.7670.5900.7910.5960.7360.7291.0000.8300.777
전체_조리원수0.0000.7090.7090.8990.7690.9100.4840.7080.8570.8301.0000.796
전체_기타수0.1850.7880.7880.7970.8880.8100.7840.8420.7540.7770.7961.000
2024-04-06T22:27:35.528024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
통계연도어린이집유형코드전체_교직원수전체_원장수전체_보육교사수전체_특수교사수전체_치료사수전체_영양사수전체_간호사수전체_조리원수전체_기타수어린이집유형 명칭
통계연도1.0000.000-0.031-0.103-0.018-0.142-0.370-0.0040.002-0.1220.0270.000
어린이집유형코드0.0001.000-0.213-0.025-0.230-0.792-0.626-0.166-0.390-0.230-0.0611.000
전체_교직원수-0.031-0.2131.0000.9430.9980.3520.3810.5730.5970.9660.9320.543
전체_원장수-0.103-0.0250.9431.0000.9330.1200.2280.3450.3470.8740.9260.437
전체_보육교사수-0.018-0.2300.9980.9331.0000.3720.3990.5840.6180.9680.9270.559
전체_특수교사수-0.142-0.7920.3520.1200.3721.0000.7070.5180.6900.4510.2030.499
전체_치료사수-0.370-0.6260.3810.2280.3990.7071.0000.4450.5740.4550.2590.583
전체_영양사수-0.004-0.1660.5730.3450.5840.5180.4451.0000.9170.6850.4770.488
전체_간호사수0.002-0.3900.5970.3470.6180.6900.5740.9171.0000.7250.4550.547
전체_조리원수-0.122-0.2300.9660.8740.9680.4510.4550.6850.7251.0000.8500.447
전체_기타수0.027-0.0610.9320.9260.9270.2030.2590.4770.4550.8501.0000.564
어린이집유형 명칭0.0001.0000.5430.4370.5590.4990.5830.4880.5470.4470.5641.000

Missing values

2024-04-06T22:27:31.757828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T22:27:31.921257image/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

통계연도어린이집유형코드어린이집유형 명칭전체_교직원수전체_원장수전체_보육교사수전체_특수교사수전체_치료사수전체_영양사수전체_간호사수전체_사무원수전체_조리원수전체_기타수
02022101국공립2313918251760426405464021301198
12022501협동21826152000001921
22022401가정90481403626200000871296
32022603직장484930436130059470540286
42022302민간1253610419252150403107851372
52022301법인단체등898846072305407699
62022201사회복지법인25820177703202227
72021101국공립2251318031709532905674021401016
82021603직장481129436230058450527264
92021501협동23928168000002122
통계연도어린이집유형코드어린이집유형 명칭전체_교직원수전체_원장수전체_보육교사수전체_특수교사수전체_치료사수전체_영양사수전체_간호사수전체_사무원수전체_조리원수전체_기타수
532015302민간220622171160202196162019861732
542015301법인단체등1168142757283420106126
552015101국공립11757901860938143416401207511
562014201사회복지법인376372461445304027
572014603직장259517719162042330309116
582014501협동19327125100002317
592014401가정16018326710759110001421569
602014302민간219982267156772386356020681836
612014301법인단체등1231152787283420110145
622014101국공립10890824793235443406001115522