Overview

Dataset statistics

Number of variables9
Number of observations24
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory85.5 B

Variable types

Text1
Numeric7
Categorical1

Dataset

Description경상북도에 위치한 아동복지시설 관련 시군구별 어린이집, 지역아동센터, 가족지원센터 시설수와 서비스 인구수입니다.
Author경상북도
URLhttps://www.data.go.kr/data/15095529/fileData.do

Alerts

어린이집 시설수 is highly overall correlated with 어린이집 서비스인구수 and 4 other fieldsHigh correlation
어린이집 서비스인구수 is highly overall correlated with 어린이집 시설수 and 1 other fieldsHigh correlation
지역아동센터 시설수 is highly overall correlated with 어린이집 시설수 and 4 other fieldsHigh correlation
청소년복지 시설수 is highly overall correlated with 어린이집 시설수 and 2 other fieldsHigh correlation
청소년복지시설 서비스인구수 is highly overall correlated with 어린이집 시설수 and 2 other fieldsHigh correlation
가족지원센터 서비스인구수 is highly overall correlated with 어린이집 시설수 and 3 other fieldsHigh correlation
시군구명 has unique valuesUnique
어린이집 서비스인구수 has unique valuesUnique
지역아동센터 서비스인구수 has unique valuesUnique
청소년복지시설 서비스인구수 has unique valuesUnique
가족지원센터 서비스인구수 has 4 (16.7%) zerosZeros

Reproduction

Analysis started2023-12-12 04:03:36.756163
Analysis finished2023-12-12 04:03:42.924655
Duration6.17 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군구명
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-12T13:03:43.057009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.25
Min length3

Characters and Unicode

Total characters78
Distinct characters37
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row포항시 남구
2nd row포항시 북구
3rd row경주시
4th row김천시
5th row안동시
ValueCountFrequency (%)
포항시 2
 
7.7%
의성군 1
 
3.8%
울진군 1
 
3.8%
봉화군 1
 
3.8%
예천군 1
 
3.8%
칠곡군 1
 
3.8%
성주군 1
 
3.8%
고령군 1
 
3.8%
청도군 1
 
3.8%
영덕군 1
 
3.8%
Other values (15) 15
57.7%
2023-12-12T13:03:43.437102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
군 14
17.9%
시 11
 
14.1%
영 4
 
5.1%
주 4
 
5.1%
구 3
 
3.8%
경 3
 
3.8%
천 3
 
3.8%
울 2
 
2.6%
청 2
 
2.6%
성 2
 
2.6%
Other values (27) 30
38.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 76
97.4%
Space Separator 2
 
2.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
군 14
18.4%
시 11
 
14.5%
영 4
 
5.3%
주 4
 
5.3%
구 3
 
3.9%
경 3
 
3.9%
천 3
 
3.9%
울 2
 
2.6%
청 2
 
2.6%
성 2
 
2.6%
Other values (26) 28
36.8%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 76
97.4%
Common 2
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
군 14
18.4%
시 11
 
14.5%
영 4
 
5.3%
주 4
 
5.3%
구 3
 
3.9%
경 3
 
3.9%
천 3
 
3.9%
울 2
 
2.6%
청 2
 
2.6%
성 2
 
2.6%
Other values (26) 28
36.8%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 76
97.4%
ASCII 2
 
2.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
군 14
18.4%
시 11
 
14.5%
영 4
 
5.3%
주 4
 
5.3%
구 3
 
3.9%
경 3
 
3.9%
천 3
 
3.9%
울 2
 
2.6%
청 2
 
2.6%
성 2
 
2.6%
Other values (26) 28
36.8%
ASCII
ValueCountFrequency (%)
2
100.0%

어린이집 시설수
Real number (ℝ)

HIGH CORRELATION 

Distinct21
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.583333
Minimum1
Maximum406
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-12T13:03:43.583065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q111
median36
Q398
95-th percentile200.65
Maximum406
Range405
Interquartile range (IQR)87

Descriptive statistics

Standard deviation93.992561
Coefficient of variation (CV)1.3130509
Kurtosis6.1341392
Mean71.583333
Median Absolute Deviation (MAD)26
Skewness2.2628025
Sum1718
Variance8834.6014
MonotonicityNot monotonic
2023-12-12T13:03:43.739174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
11 3
 
12.5%
6 2
 
8.3%
205 1
 
4.2%
1 1
 
4.2%
20 1
 
4.2%
42 1
 
4.2%
101 1
 
4.2%
12 1
 
4.2%
16 1
 
4.2%
9 1
 
4.2%
Other values (11) 11
45.8%
ValueCountFrequency (%)
1 1
 
4.2%
6 2
8.3%
9 1
 
4.2%
11 3
12.5%
12 1
 
4.2%
14 1
 
4.2%
16 1
 
4.2%
20 1
 
4.2%
35 1
 
4.2%
37 1
 
4.2%
ValueCountFrequency (%)
406 1
4.2%
205 1
4.2%
176 1
4.2%
169 1
4.2%
146 1
4.2%
101 1
4.2%
97 1
4.2%
92 1
4.2%
49 1
4.2%
46 1
4.2%

어린이집 서비스인구수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3197.125
Minimum1333
Maximum9943
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-12T13:03:43.903133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1333
5-th percentile1448.7
Q12173.5
median2895
Q34161.5
95-th percentile4695.55
Maximum9943
Range8610
Interquartile range (IQR)1988

Descriptive statistics

Standard deviation1761.1023
Coefficient of variation (CV)0.55083935
Kurtosis9.0213441
Mean3197.125
Median Absolute Deviation (MAD)859.5
Skewness2.5592989
Sum76731
Variance3101481.2
MonotonicityNot monotonic
2023-12-12T13:03:44.027420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1893 1
 
4.2%
3159 1
 
4.2%
9943 1
 
4.2%
2970 1
 
4.2%
2687 1
 
4.2%
1719 1
 
4.2%
1401 1
 
4.2%
4438 1
 
4.2%
3043 1
 
4.2%
4608 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
1333 1
4.2%
1401 1
4.2%
1719 1
4.2%
1893 1
4.2%
2022 1
4.2%
2049 1
4.2%
2215 1
4.2%
2309 1
4.2%
2399 1
4.2%
2421 1
4.2%
ValueCountFrequency (%)
9943 1
4.2%
4711 1
4.2%
4608 1
4.2%
4438 1
4.2%
4276 1
4.2%
4253 1
4.2%
4131 1
4.2%
3159 1
4.2%
3043 1
4.2%
2970 1
4.2%

지역아동센터 시설수
Real number (ℝ)

HIGH CORRELATION 

Distinct17
Distinct (%)70.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.5
Minimum1
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-12T13:03:44.184264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.15
Q13
median7
Q312.25
95-th percentile31.85
Maximum50
Range49
Interquartile range (IQR)9.25

Descriptive statistics

Standard deviation12.451646
Coefficient of variation (CV)1.0827518
Kurtosis2.8579449
Mean11.5
Median Absolute Deviation (MAD)4.5
Skewness1.756262
Sum276
Variance155.04348
MonotonicityNot monotonic
2023-12-12T13:03:44.353707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
2 3
12.5%
3 2
 
8.3%
1 2
 
8.3%
11 2
 
8.3%
7 2
 
8.3%
4 2
 
8.3%
32 1
 
4.2%
6 1
 
4.2%
12 1
 
4.2%
5 1
 
4.2%
Other values (7) 7
29.2%
ValueCountFrequency (%)
1 2
8.3%
2 3
12.5%
3 2
8.3%
4 2
8.3%
5 1
 
4.2%
6 1
 
4.2%
7 2
8.3%
8 1
 
4.2%
10 1
 
4.2%
11 2
8.3%
ValueCountFrequency (%)
50 1
4.2%
32 1
4.2%
31 1
4.2%
28 1
4.2%
23 1
4.2%
13 1
4.2%
12 1
4.2%
11 2
8.3%
10 1
4.2%
8 1
4.2%

지역아동센터 서비스인구수
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15127.458
Minimum8506
Maximum59406
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-12T13:03:44.513636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8506
5-th percentile8559.3
Q19920.25
median11913
Q315177.75
95-th percentile24714.55
Maximum59406
Range50900
Interquartile range (IQR)5257.5

Descriptive statistics

Standard deviation10416.618
Coefficient of variation (CV)0.68859011
Kurtosis15.113917
Mean15127.458
Median Absolute Deviation (MAD)2238.5
Skewness3.6285752
Sum363059
Variance1.0850593 × 108
MonotonicityNot monotonic
2023-12-12T13:03:44.664155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
10414 1
 
4.2%
14214 1
 
4.2%
9943 1
 
4.2%
59406 1
 
4.2%
9852 1
 
4.2%
12034 1
 
4.2%
11792 1
 
4.2%
13314 1
 
4.2%
9737 1
 
4.2%
25342 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
8506 1
4.2%
8544 1
4.2%
8646 1
4.2%
9422 1
4.2%
9737 1
4.2%
9852 1
4.2%
9943 1
4.2%
10414 1
4.2%
10821 1
4.2%
11549 1
4.2%
ValueCountFrequency (%)
59406 1
4.2%
25342 1
4.2%
21159 1
4.2%
20727 1
4.2%
18072 1
4.2%
17790 1
4.2%
14307 1
4.2%
14214 1
4.2%
13549 1
4.2%
13314 1
4.2%

청소년복지 시설수
Real number (ℝ)

HIGH CORRELATION 

Distinct8
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.875
Minimum1
Maximum17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-12T13:03:44.798566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.15
Q12
median3
Q34.25
95-th percentile6.85
Maximum17
Range16
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation3.2210247
Coefficient of variation (CV)0.83123218
Kurtosis12.323549
Mean3.875
Median Absolute Deviation (MAD)1
Skewness3.1459544
Sum93
Variance10.375
MonotonicityNot monotonic
2023-12-12T13:03:44.929141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 7
29.2%
3 5
20.8%
4 4
16.7%
1 2
 
8.3%
6 2
 
8.3%
5 2
 
8.3%
17 1
 
4.2%
7 1
 
4.2%
ValueCountFrequency (%)
1 2
 
8.3%
2 7
29.2%
3 5
20.8%
4 4
16.7%
5 2
 
8.3%
6 2
 
8.3%
7 1
 
4.2%
17 1
 
4.2%
ValueCountFrequency (%)
17 1
 
4.2%
7 1
 
4.2%
6 2
 
8.3%
5 2
 
8.3%
4 4
16.7%
3 5
20.8%
2 7
29.2%
1 2
 
8.3%

청소년복지시설 서비스인구수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46973
Minimum4972
Maximum333240
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-12T13:03:45.066100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4972
5-th percentile8641
Q117241.25
median25985.5
Q346922.25
95-th percentile129458.3
Maximum333240
Range328268
Interquartile range (IQR)29681

Descriptive statistics

Standard deviation67674.118
Coefficient of variation (CV)1.4407025
Kurtosis14.863198
Mean46973
Median Absolute Deviation (MAD)10299
Skewness3.6508287
Sum1127352
Variance4.5797862 × 109
MonotonicityNot monotonic
2023-12-12T13:03:45.213356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
333240 1
 
4.2%
14214 1
 
4.2%
4972 1
 
4.2%
19802 1
 
4.2%
14778 1
 
4.2%
18051 1
 
4.2%
35376 1
 
4.2%
26629 1
 
4.2%
24343 1
 
4.2%
25342 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
4972 1
4.2%
8506 1
4.2%
9406 1
4.2%
14214 1
4.2%
14778 1
4.2%
17089 1
4.2%
17292 1
4.2%
18051 1
4.2%
19022 1
4.2%
19802 1
4.2%
ValueCountFrequency (%)
333240 1
4.2%
136391 1
4.2%
90173 1
4.2%
70003 1
4.2%
48363 1
4.2%
48192 1
4.2%
46499 1
4.2%
35376 1
4.2%
33442 1
4.2%
33250 1
4.2%

가족지원센터 시설수
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
1
20 
0
4 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 20
83.3%
0 4
 
16.7%

Length

2023-12-12T13:03:45.374057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:03:45.509024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 20
83.3%
0 4
 
16.7%

가족지원센터 서비스인구수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct21
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean132344.5
Minimum0
Maximum541037
Zeros4
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-12T13:03:45.628521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q128546.5
median69078.5
Q3155315.5
95-th percentile418389.4
Maximum541037
Range541037
Interquartile range (IQR)126769

Descriptive statistics

Standard deviation150221.67
Coefficient of variation (CV)1.1350805
Kurtosis1.4388686
Mean132344.5
Median Absolute Deviation (MAD)69078.5
Skewness1.4740452
Sum3176268
Variance2.2566549 × 1010
MonotonicityNot monotonic
2023-12-12T13:03:45.773759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 4
 
16.7%
420016 1
 
4.2%
9943 1
 
4.2%
59406 1
 
4.2%
29556 1
 
4.2%
72204 1
 
4.2%
141503 1
 
4.2%
53257 1
 
4.2%
50683 1
 
4.2%
47032 1
 
4.2%
Other values (11) 11
45.8%
ValueCountFrequency (%)
0 4
16.7%
9943 1
 
4.2%
25518 1
 
4.2%
29556 1
 
4.2%
47032 1
 
4.2%
50683 1
 
4.2%
53257 1
 
4.2%
59406 1
 
4.2%
65953 1
 
4.2%
72204 1
 
4.2%
ValueCountFrequency (%)
541037 1
4.2%
420016 1
4.2%
409172 1
4.2%
323367 1
4.2%
232748 1
4.2%
185995 1
4.2%
145089 1
4.2%
144577 1
4.2%
141503 1
4.2%
133769 1
4.2%

Interactions

2023-12-12T13:03:41.705657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:03:37.075473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:03:38.010832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:03:38.721063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:03:39.431082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:03:40.156076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:03:40.976377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:03:41.814001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:03:37.198459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:03:38.142733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:03:38.841911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:03:39.532295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:03:40.292621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:03:41.087909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:03:41.911138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:03:37.322754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:03:38.229644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:03:38.939883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:03:39.630253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:03:40.412298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:03:41.205403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:03:41.992775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:03:37.490056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:03:38.323445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:03:39.059021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:03:39.729320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:03:40.516797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:03:41.301111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:03:42.083718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:03:37.636342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:03:38.405348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:03:39.143302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:03:39.820108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:03:40.647917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:03:41.405253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:03:42.175762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:03:37.767501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:03:38.511758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:03:39.238678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:03:39.952484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:03:40.762330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:03:41.520624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:03:42.269587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:03:37.892307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:03:38.613601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:03:39.345051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:03:40.054942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:03:40.860607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:03:41.615899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:03:45.883766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명어린이집 시설수어린이집 서비스인구수지역아동센터 시설수지역아동센터 서비스인구수청소년복지 시설수청소년복지시설 서비스인구수가족지원센터 시설수가족지원센터 서비스인구수
시군구명1.0001.0001.0001.0001.0001.0001.0001.0001.000
어린이집 시설수1.0001.0000.0000.9810.0000.7560.7790.0000.864
어린이집 서비스인구수1.0000.0001.0000.0000.0000.0000.0000.2850.000
지역아동센터 시설수1.0000.9810.0001.0000.0000.7150.8520.0000.887
지역아동센터 서비스인구수1.0000.0000.0000.0001.0000.0000.0000.0000.000
청소년복지 시설수1.0000.7560.0000.7150.0001.0000.0000.3670.815
청소년복지시설 서비스인구수1.0000.7790.0000.8520.0000.0001.0000.2680.734
가족지원센터 시설수1.0000.0000.2850.0000.0000.3670.2681.0000.000
가족지원센터 서비스인구수1.0000.8640.0000.8870.0000.8150.7340.0001.000
2023-12-12T13:03:46.050661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
어린이집 시설수어린이집 서비스인구수지역아동센터 시설수지역아동센터 서비스인구수청소년복지 시설수청소년복지시설 서비스인구수가족지원센터 서비스인구수가족지원센터 시설수
어린이집 시설수1.000-0.7800.9240.2860.5760.8170.7630.000
어린이집 서비스인구수-0.7801.000-0.7210.001-0.496-0.468-0.4950.317
지역아동센터 시설수0.924-0.7211.0000.0390.5520.7580.7030.000
지역아동센터 서비스인구수0.2860.0010.0391.0000.2000.4210.4210.000
청소년복지 시설수0.576-0.4960.5520.2001.0000.1590.7790.408
청소년복지시설 서비스인구수0.817-0.4680.7580.4210.1591.0000.6000.298
가족지원센터 서비스인구수0.763-0.4950.7030.4210.7790.6001.0000.000
가족지원센터 시설수0.0000.3170.0000.0000.4080.2980.0001.000

Missing values

2023-12-12T13:03:42.677154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:03:42.861560image/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

시군구명어린이집 시설수어린이집 서비스인구수지역아동센터 시설수지역아동센터 서비스인구수청소년복지 시설수청소년복지시설 서비스인구수가족지원센터 시설수가족지원센터 서비스인구수
0포항시 남구17618933210414133324000
1포항시 북구205204931135496700031420016
2경주시1462215281154917190221323367
3김천시92202213143074464991185995
4안동시97239911211597332501232748
5구미시406133350108216901731541037
6영주시46290811121614334421133769
7영천시4929617207273483631145089
8상주시3541318180723481921144577
9문경시372309108544517089185443
시군구명어린이집 시설수어린이집 서비스인구수지역아동센터 시설수지역아동센터 서비스인구수청소년복지 시설수청소년복지시설 서비스인구수가족지원센터 시설수가족지원센터 서비스인구수
14영양군628822864611729200
15영덕군11427641175859406147032
16청도군114608225342225342150683
17고령군1630435973722434300
18성주군124438413314226629153257
19칠곡군101140112117924353761141503
20예천군421719612034418051172204
21봉화군11268739852214778129556
22울진군202970159406319802159406
23울릉군19943199432497219943