Overview

Dataset statistics

Number of variables12
Number of observations52
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.5 KiB
Average record size in memory108.5 B

Variable types

Numeric10
Categorical2

Dataset

Description경기장애인구강진료센터 진료비감면 현황
Author경기복지재단(경기도장애인복지종합지원센터)
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=RULOUHA5386J9GYRCVQ726073314&infSeq=1

Alerts

전체환자수(명) is highly overall correlated with 1분기환자수(명) and 7 other fieldsHigh correlation
1분기환자수(명) is highly overall correlated with 전체환자수(명) and 6 other fieldsHigh correlation
1분기지원금액(원) is highly overall correlated with 전체환자수(명) and 5 other fieldsHigh correlation
2분기환자수(명) is highly overall correlated with 전체환자수(명) and 5 other fieldsHigh correlation
2분기지원금액(원) is highly overall correlated with 전체환자수(명) and 5 other fieldsHigh correlation
3분기환자수(명) is highly overall correlated with 전체환자수(명) and 5 other fieldsHigh correlation
3분기지원금액(원) is highly overall correlated with 전체환자수(명) and 5 other fieldsHigh correlation
4분기환자수(명) is highly overall correlated with 전체환자수(명) and 1 other fieldsHigh correlation
4분기지원금액(원) is highly overall correlated with 전체환자수(명) and 1 other fieldsHigh correlation
기관명 is highly overall correlated with 감면기준구분명High correlation
감면기준구분명 is highly overall correlated with 1분기환자수(명) and 1 other fieldsHigh correlation
전체환자수(명) has unique valuesUnique
4분기지원금액(원) has unique valuesUnique
전체환자수(명) has 1 (1.9%) zerosZeros
1분기환자수(명) has 15 (28.8%) zerosZeros
1분기지원금액(원) has 15 (28.8%) zerosZeros
2분기환자수(명) has 16 (30.8%) zerosZeros
2분기지원금액(원) has 16 (30.8%) zerosZeros
3분기환자수(명) has 16 (30.8%) zerosZeros
3분기지원금액(원) has 16 (30.8%) zerosZeros
4분기환자수(명) has 1 (1.9%) zerosZeros
4분기지원금액(원) has 1 (1.9%) zerosZeros

Reproduction

Analysis started2024-04-11 05:21:47.035419
Analysis finished2024-04-11 05:21:56.188602
Duration9.15 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년도
Real number (ℝ)

Distinct11
Distinct (%)21.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2018.6923
Minimum2013
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2024-04-11T14:21:56.238965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2013
5-th percentile2013
Q12016
median2019
Q32022
95-th percentile2023
Maximum2023
Range10
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.3696364
Coefficient of variation (CV)0.0016692174
Kurtosis-1.3092002
Mean2018.6923
Median Absolute Deviation (MAD)3
Skewness-0.24727927
Sum104972
Variance11.354449
MonotonicityDecreasing
2024-04-11T14:21:56.331457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2023 8
15.4%
2022 8
15.4%
2021 4
7.7%
2020 4
7.7%
2019 4
7.7%
2018 4
7.7%
2017 4
7.7%
2016 4
7.7%
2015 4
7.7%
2014 4
7.7%
ValueCountFrequency (%)
2013 4
7.7%
2014 4
7.7%
2015 4
7.7%
2016 4
7.7%
2017 4
7.7%
2018 4
7.7%
2019 4
7.7%
2020 4
7.7%
2021 4
7.7%
2022 8
15.4%
ValueCountFrequency (%)
2023 8
15.4%
2022 8
15.4%
2021 4
7.7%
2020 4
7.7%
2019 4
7.7%
2018 4
7.7%
2017 4
7.7%
2016 4
7.7%
2015 4
7.7%
2014 4
7.7%

기관명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
경기권역장애인구강진료센터
44 
경기북부장애인구강진료센터

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기권역장애인구강진료센터
2nd row경기권역장애인구강진료센터
3rd row경기권역장애인구강진료센터
4th row경기권역장애인구강진료센터
5th row경기북부장애인구강진료센터

Common Values

ValueCountFrequency (%)
경기권역장애인구강진료센터 44
84.6%
경기북부장애인구강진료센터 8
 
15.4%

Length

2024-04-11T14:21:56.423161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-11T14:21:56.501001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기권역장애인구강진료센터 44
84.6%
경기북부장애인구강진료센터 8
 
15.4%

감면기준구분명
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size548.0 B
10% 지원
30% 지원
50% 지원
자체 지원
보조금(10% 지원)
Other values (3)
12 

Length

Max length11
Median length6
Mean length6.8269231
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row보조금(10% 지원)
2nd row보조금(30% 지원)
3rd row보조금(50% 지원)
4th row자체지원
5th row보조금(10% 지원)

Common Values

ValueCountFrequency (%)
10% 지원 9
17.3%
30% 지원 9
17.3%
50% 지원 9
17.3%
자체 지원 9
17.3%
보조금(10% 지원) 4
7.7%
보조금(30% 지원) 4
7.7%
보조금(50% 지원) 4
7.7%
자체지원 4
7.7%

Length

2024-04-11T14:21:56.591187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-11T14:21:56.686419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지원 48
48.0%
10 9
 
9.0%
30 9
 
9.0%
50 9
 
9.0%
자체 9
 
9.0%
보조금(10 4
 
4.0%
보조금(30 4
 
4.0%
보조금(50 4
 
4.0%
자체지원 4
 
4.0%

전체환자수(명)
Real number (ℝ)

HIGH CORRELATION  UNIQUE  ZEROS 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean519.73077
Minimum0
Maximum2074
Zeros1
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size600.0 B
2024-04-11T14:21:56.993869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.2
Q1172
median303
Q3704.5
95-th percentile1628.9
Maximum2074
Range2074
Interquartile range (IQR)532.5

Descriptive statistics

Standard deviation534.995
Coefficient of variation (CV)1.0293695
Kurtosis0.98160401
Mean519.73077
Median Absolute Deviation (MAD)202
Skewness1.3557737
Sum27026
Variance286219.65
MonotonicityNot monotonic
2024-04-11T14:21:57.099347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
239 1
 
1.9%
328 1
 
1.9%
1322 1
 
1.9%
458 1
 
1.9%
133 1
 
1.9%
218 1
 
1.9%
1316 1
 
1.9%
443 1
 
1.9%
37 1
 
1.9%
221 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
0 1
1.9%
2 1
1.9%
4 1
1.9%
8 1
1.9%
20 1
1.9%
30 1
1.9%
37 1
1.9%
39 1
1.9%
97 1
1.9%
105 1
1.9%
ValueCountFrequency (%)
2074 1
1.9%
1912 1
1.9%
1696 1
1.9%
1574 1
1.9%
1363 1
1.9%
1322 1
1.9%
1316 1
1.9%
1304 1
1.9%
1123 1
1.9%
1100 1
1.9%

1분기환자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct38
Distinct (%)73.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109.90385
Minimum0
Maximum519
Zeros15
Zeros (%)28.8%
Negative0
Negative (%)0.0%
Memory size600.0 B
2024-04-11T14:21:57.192016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median57
Q3137
95-th percentile369.3
Maximum519
Range519
Interquartile range (IQR)137

Descriptive statistics

Standard deviation136.02152
Coefficient of variation (CV)1.2376411
Kurtosis1.2706729
Mean109.90385
Median Absolute Deviation (MAD)57
Skewness1.4534044
Sum5715
Variance18501.853
MonotonicityNot monotonic
2024-04-11T14:21:57.301821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0 15
28.8%
67 1
 
1.9%
289 1
 
1.9%
43 1
 
1.9%
300 1
 
1.9%
114 1
 
1.9%
51 1
 
1.9%
288 1
 
1.9%
111 1
 
1.9%
41 1
 
1.9%
Other values (28) 28
53.8%
ValueCountFrequency (%)
0 15
28.8%
18 1
 
1.9%
22 1
 
1.9%
29 1
 
1.9%
35 1
 
1.9%
36 1
 
1.9%
38 1
 
1.9%
41 1
 
1.9%
43 1
 
1.9%
51 1
 
1.9%
ValueCountFrequency (%)
519 1
1.9%
483 1
1.9%
399 1
1.9%
345 1
1.9%
341 1
1.9%
326 1
1.9%
300 1
1.9%
289 1
1.9%
288 1
1.9%
267 1
1.9%

1분기지원금액(원)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct38
Distinct (%)73.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13094434
Minimum0
Maximum53933056
Zeros15
Zeros (%)28.8%
Negative0
Negative (%)0.0%
Memory size600.0 B
2024-04-11T14:21:57.452634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2004210.5
Q326925235
95-th percentile44396000
Maximum53933056
Range53933056
Interquartile range (IQR)26925235

Descriptive statistics

Standard deviation16205034
Coefficient of variation (CV)1.2375513
Kurtosis-0.43424847
Mean13094434
Median Absolute Deviation (MAD)2004210.5
Skewness0.93545585
Sum6.8091056 × 108
Variance2.6260312 × 1014
MonotonicityNot monotonic
2024-04-11T14:21:57.570401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0 15
28.8%
2663615 1
 
1.9%
27687116 1
 
1.9%
923635 1
 
1.9%
31878130 1
 
1.9%
31005668 1
 
1.9%
1619376 1
 
1.9%
33694730 1
 
1.9%
31346387 1
 
1.9%
292418 1
 
1.9%
Other values (28) 28
53.8%
ValueCountFrequency (%)
0 15
28.8%
292418 1
 
1.9%
375847 1
 
1.9%
799875 1
 
1.9%
921109 1
 
1.9%
923635 1
 
1.9%
1304436 1
 
1.9%
1337100 1
 
1.9%
1619376 1
 
1.9%
1660391 1
 
1.9%
ValueCountFrequency (%)
53933056 1
1.9%
49134215 1
1.9%
46101410 1
1.9%
43000664 1
1.9%
38640301 1
1.9%
35610776 1
1.9%
33694730 1
1.9%
31878130 1
1.9%
31346387 1
1.9%
31005668 1
1.9%

2분기환자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct35
Distinct (%)67.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean124.34615
Minimum0
Maximum576
Zeros16
Zeros (%)30.8%
Negative0
Negative (%)0.0%
Memory size600.0 B
2024-04-11T14:21:57.675534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median73.5
Q3197
95-th percentile417.4
Maximum576
Range576
Interquartile range (IQR)197

Descriptive statistics

Standard deviation148.86049
Coefficient of variation (CV)1.1971459
Kurtosis1.4801172
Mean124.34615
Median Absolute Deviation (MAD)73.5
Skewness1.4338228
Sum6466
Variance22159.446
MonotonicityNot monotonic
2024-04-11T14:21:57.790810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 16
30.8%
118 2
 
3.8%
53 2
 
3.8%
123 1
 
1.9%
73 1
 
1.9%
340 1
 
1.9%
107 1
 
1.9%
84 1
 
1.9%
274 1
 
1.9%
242 1
 
1.9%
Other values (25) 25
48.1%
ValueCountFrequency (%)
0 16
30.8%
18 1
 
1.9%
30 1
 
1.9%
39 1
 
1.9%
43 1
 
1.9%
48 1
 
1.9%
53 2
 
3.8%
58 1
 
1.9%
68 1
 
1.9%
73 1
 
1.9%
ValueCountFrequency (%)
576 1
1.9%
552 1
1.9%
446 1
1.9%
394 1
1.9%
340 1
1.9%
335 1
1.9%
331 1
1.9%
308 1
1.9%
283 1
1.9%
274 1
1.9%

2분기지원금액(원)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct37
Distinct (%)71.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15969740
Minimum0
Maximum61564294
Zeros16
Zeros (%)30.8%
Negative0
Negative (%)0.0%
Memory size600.0 B
2024-04-11T14:21:57.899039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2641350
Q329583894
95-th percentile53378828
Maximum61564294
Range61564294
Interquartile range (IQR)29583894

Descriptive statistics

Standard deviation19409657
Coefficient of variation (CV)1.2154022
Kurtosis-0.6190987
Mean15969740
Median Absolute Deviation (MAD)2641350
Skewness0.87941446
Sum8.3042647 × 108
Variance3.7673478 × 1014
MonotonicityNot monotonic
2024-04-11T14:21:58.008039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0 16
30.8%
2561367 1
 
1.9%
25295825 1
 
1.9%
2721333 1
 
1.9%
44933612 1
 
1.9%
17833623 1
 
1.9%
2079141 1
 
1.9%
25677335 1
 
1.9%
46824782 1
 
1.9%
646307 1
 
1.9%
Other values (27) 27
51.9%
ValueCountFrequency (%)
0 16
30.8%
134900 1
 
1.9%
368529 1
 
1.9%
646307 1
 
1.9%
863605 1
 
1.9%
1093941 1
 
1.9%
1146768 1
 
1.9%
1709826 1
 
1.9%
2079141 1
 
1.9%
2134544 1
 
1.9%
ValueCountFrequency (%)
61564294 1
1.9%
55896326 1
1.9%
53841666 1
1.9%
53000142 1
1.9%
46952726 1
1.9%
46824782 1
1.9%
44933612 1
1.9%
44880270 1
1.9%
39107457 1
1.9%
38081391 1
1.9%

3분기환자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct37
Distinct (%)71.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean142.03846
Minimum0
Maximum721
Zeros16
Zeros (%)30.8%
Negative0
Negative (%)0.0%
Memory size600.0 B
2024-04-11T14:21:58.119382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median78
Q3191.25
95-th percentile497.9
Maximum721
Range721
Interquartile range (IQR)191.25

Descriptive statistics

Standard deviation177.04126
Coefficient of variation (CV)1.2464318
Kurtosis1.9866122
Mean142.03846
Median Absolute Deviation (MAD)78
Skewness1.5787353
Sum7386
Variance31343.606
MonotonicityNot monotonic
2024-04-11T14:21:58.241729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0 16
30.8%
87 1
 
1.9%
295 1
 
1.9%
59 1
 
1.9%
367 1
 
1.9%
119 1
 
1.9%
65 1
 
1.9%
267 1
 
1.9%
108 1
 
1.9%
89 1
 
1.9%
Other values (27) 27
51.9%
ValueCountFrequency (%)
0 16
30.8%
21 1
 
1.9%
41 1
 
1.9%
49 1
 
1.9%
50 1
 
1.9%
58 1
 
1.9%
59 1
 
1.9%
64 1
 
1.9%
65 1
 
1.9%
70 1
 
1.9%
ValueCountFrequency (%)
721 1
1.9%
638 1
1.9%
510 1
1.9%
488 1
1.9%
401 1
1.9%
397 1
1.9%
375 1
1.9%
367 1
1.9%
363 1
1.9%
295 1
1.9%

3분기지원금액(원)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct37
Distinct (%)71.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17296448
Minimum0
Maximum94514646
Zeros16
Zeros (%)30.8%
Negative0
Negative (%)0.0%
Memory size600.0 B
2024-04-11T14:21:58.361616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2867717
Q333639084
95-th percentile46960767
Maximum94514646
Range94514646
Interquartile range (IQR)33639084

Descriptive statistics

Standard deviation21521267
Coefficient of variation (CV)1.2442593
Kurtosis2.0101484
Mean17296448
Median Absolute Deviation (MAD)2867717
Skewness1.3369954
Sum8.9941531 × 108
Variance4.6316492 × 1014
MonotonicityNot monotonic
2024-04-11T14:21:58.464197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0 16
30.8%
3912341 1
 
1.9%
26590369 1
 
1.9%
1815528 1
 
1.9%
36019160 1
 
1.9%
33814996 1
 
1.9%
2153481 1
 
1.9%
30084809 1
 
1.9%
30799828 1
 
1.9%
2232337 1
 
1.9%
Other values (27) 27
51.9%
ValueCountFrequency (%)
0 16
30.8%
61821 1
 
1.9%
328000 1
 
1.9%
978554 1
 
1.9%
1351703 1
 
1.9%
1678200 1
 
1.9%
1815528 1
 
1.9%
2153481 1
 
1.9%
2232337 1
 
1.9%
2270480 1
 
1.9%
ValueCountFrequency (%)
94514646 1
1.9%
72106738 1
1.9%
49204883 1
1.9%
45124672 1
1.9%
44521025 1
1.9%
41827854 1
1.9%
41181793 1
1.9%
39427553 1
1.9%
36019160 1
1.9%
34449748 1
1.9%

4분기환자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct46
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean143.44231
Minimum0
Maximum808
Zeros1
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size600.0 B
2024-04-11T14:21:58.571603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.1
Q136
median67.5
Q3180.75
95-th percentile428.1
Maximum808
Range808
Interquartile range (IQR)144.75

Descriptive statistics

Standard deviation165.45059
Coefficient of variation (CV)1.1534295
Kurtosis4.0077414
Mean143.44231
Median Absolute Deviation (MAD)51.5
Skewness1.8549762
Sum7459
Variance27373.899
MonotonicityNot monotonic
2024-04-11T14:21:58.685342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
2 2
 
3.8%
37 2
 
3.8%
133 2
 
3.8%
61 2
 
3.8%
46 2
 
3.8%
33 2
 
3.8%
153 1
 
1.9%
67 1
 
1.9%
52 1
 
1.9%
264 1
 
1.9%
Other values (36) 36
69.2%
ValueCountFrequency (%)
0 1
1.9%
2 2
3.8%
4 1
1.9%
8 1
1.9%
15 1
1.9%
17 1
1.9%
20 1
1.9%
21 1
1.9%
23 1
1.9%
30 1
1.9%
ValueCountFrequency (%)
808 1
1.9%
508 1
1.9%
438 1
1.9%
420 1
1.9%
398 1
1.9%
380 1
1.9%
372 1
1.9%
328 1
1.9%
309 1
1.9%
307 1
1.9%

4분기지원금액(원)
Real number (ℝ)

HIGH CORRELATION  UNIQUE  ZEROS 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18644584
Minimum0
Maximum1.4159376 × 108
Zeros1
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size600.0 B
2024-04-11T14:21:58.807071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile122629.5
Q11512027
median10342420
Q331109194
95-th percentile55010190
Maximum1.4159376 × 108
Range1.4159376 × 108
Interquartile range (IQR)29597168

Descriptive statistics

Standard deviation24796245
Coefficient of variation (CV)1.3299436
Kurtosis10.886794
Mean18644584
Median Absolute Deviation (MAD)9385691.5
Skewness2.7235619
Sum9.6951834 × 108
Variance6.1485377 × 1014
MonotonicityNot monotonic
2024-04-11T14:21:58.916428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
112900 1
 
1.9%
63289085 1
 
1.9%
25224036 1
 
1.9%
18694540 1
 
1.9%
17351088 1
 
1.9%
1306447 1
 
1.9%
33909243 1
 
1.9%
34850295 1
 
1.9%
10357613 1
 
1.9%
635261 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
0 1
1.9%
25219 1
1.9%
112900 1
1.9%
130590 1
1.9%
197000 1
1.9%
385700 1
1.9%
462800 1
1.9%
635261 1
1.9%
877652 1
1.9%
1035806 1
1.9%
ValueCountFrequency (%)
141593757 1
1.9%
63289085 1
1.9%
60602833 1
1.9%
50434392 1
1.9%
50341963 1
1.9%
47904246 1
1.9%
41452777 1
1.9%
39212130 1
1.9%
36136510 1
1.9%
35000155 1
1.9%

Interactions

2024-04-11T14:21:55.278283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:48.450868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:49.311388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:49.943230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:50.625124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:51.285774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:52.225932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:52.950687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:53.633130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:54.506175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:55.348445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:48.566567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:49.369102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:50.018452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:50.686678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:51.541557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:52.291007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:53.014717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:53.705394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:54.571124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:55.411083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:48.749409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:49.433288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:50.081939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:50.744769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:51.603194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:52.361743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:53.076524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:53.774273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:54.637499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:55.479187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:48.810771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:49.493994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:50.141400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:50.806523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:51.671109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:52.426788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:53.140655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:53.836807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:54.705384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:55.548429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:48.873493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:49.555418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:50.208325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:50.870770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:51.741857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:52.492501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:53.208054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:53.896314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:54.773663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:55.618398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:48.936423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:49.619488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:50.269386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:50.936297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:51.824079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:52.558107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:53.274738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:53.960831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:54.865613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:55.688170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:49.010988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:49.681888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:50.334772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:50.999041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:51.906579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:52.628535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:53.345855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:54.027269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:54.952985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:55.761705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:49.110123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:49.746091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:50.399278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:51.064951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:51.987669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:52.695099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:53.411927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:54.298438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:55.045466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:55.824772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:49.172025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:49.803079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:50.468893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:51.129865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:52.058335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:52.767520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:53.476213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:54.361289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:55.122984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:55.902701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:49.241155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:49.870443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:50.551070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:51.216286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:52.142942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:52.859211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:53.547099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:54.434554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:21:55.199601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-11T14:21:59.162603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년도기관명감면기준구분명전체환자수(명)1분기환자수(명)1분기지원금액(원)2분기환자수(명)2분기지원금액(원)3분기환자수(명)3분기지원금액(원)4분기환자수(명)4분기지원금액(원)
기준년도1.0000.6580.0000.0000.0000.0000.0000.3890.0000.0000.0000.424
기관명0.6581.0000.7340.0000.3570.2300.2130.0000.4430.0000.3030.000
감면기준구분명0.0000.7341.0000.6540.7700.6280.7420.5920.7550.7910.4950.240
전체환자수(명)0.0000.0000.6541.0000.8320.8470.8900.8300.9620.8160.7790.609
1분기환자수(명)0.0000.3570.7700.8321.0000.9360.9640.7650.9010.8140.6830.460
1분기지원금액(원)0.0000.2300.6280.8470.9361.0000.9180.8410.8550.8780.4820.497
2분기환자수(명)0.0000.2130.7420.8900.9640.9181.0000.7860.9080.7770.7360.480
2분기지원금액(원)0.3890.0000.5920.8300.7650.8410.7861.0000.9180.8990.2760.321
3분기환자수(명)0.0000.4430.7550.9620.9010.8550.9080.9181.0000.8750.7310.000
3분기지원금액(원)0.0000.0000.7910.8160.8140.8780.7770.8990.8751.0000.3460.299
4분기환자수(명)0.0000.3030.4950.7790.6830.4820.7360.2760.7310.3461.0000.786
4분기지원금액(원)0.4240.0000.2400.6090.4600.4970.4800.3210.0000.2990.7861.000
2024-04-11T14:21:59.291238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
감면기준구분명기관명
감면기준구분명1.0000.527
기관명0.5271.000
2024-04-11T14:21:59.379753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년도전체환자수(명)1분기환자수(명)1분기지원금액(원)2분기환자수(명)2분기지원금액(원)3분기환자수(명)3분기지원금액(원)4분기환자수(명)4분기지원금액(원)기관명감면기준구분명
기준년도1.0000.2200.060-0.0190.0870.0270.0990.0750.042-0.1070.4870.000
전체환자수(명)0.2201.0000.8380.7740.8480.7600.8470.7720.7170.6030.0000.372
1분기환자수(명)0.0600.8381.0000.9500.9770.9160.9710.9180.3500.3110.3260.510
1분기지원금액(원)-0.0190.7740.9501.0000.9240.9550.9110.9500.2730.3280.2060.363
2분기환자수(명)0.0870.8480.9770.9241.0000.9320.9830.9260.3600.3200.1900.476
2분기지원금액(원)0.0270.7600.9160.9550.9321.0000.9020.9710.2580.3330.0000.320
3분기환자수(명)0.0990.8470.9710.9110.9830.9021.0000.9200.3660.3120.3070.477
3분기지원금액(원)0.0750.7720.9180.9500.9260.9710.9201.0000.2720.3560.0000.373
4분기환자수(명)0.0420.7170.3500.2730.3600.2580.3660.2721.0000.8190.3050.284
4분기지원금액(원)-0.1070.6030.3110.3280.3200.3330.3120.3560.8191.0000.0000.121
기관명0.4870.0000.3260.2060.1900.0000.3070.0000.3050.0001.0000.527
감면기준구분명0.0000.3720.5100.3630.4760.3200.4770.3730.2840.1210.5271.000

Missing values

2024-04-11T14:21:56.003044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-11T14:21:56.128214image/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

기준년도기관명감면기준구분명전체환자수(명)1분기환자수(명)1분기지원금액(원)2분기환자수(명)2분기지원금액(원)3분기환자수(명)3분기지원금액(원)4분기환자수(명)4분기지원금액(원)
02023경기권역장애인구강진료센터보조금(10% 지원)2396726636158325613678739123412112900
12023경기권역장애인구강진료센터보조금(30% 지원)1696483461014105525384166663872106738231143385
22023경기권역장애인구강진료센터보조금(50% 지원)671205539330561965300014223794514646336076394
32023경기권역장애인구강진료센터자체지원808000000808141593757
42023경기북부장애인구강진료센터보조금(10% 지원)23335799875581349008532800055877652
52023경기북부장애인구강진료센터보조금(30% 지원)20743999083172446145070747212144762250815338980
62023경기북부장애인구강진료센터보조금(50% 지원)13041619978450283190386224883392521637225492083
72023경기북부장애인구강진료센터자체지원4200000004201035806
82022경기권역장애인구강진료센터보조금(10% 지원)278561337100743131100972745551511521199
92022경기권역장애인구강진료센터보조금(30% 지원)191251949134215576615642945104920488330735000155
기준년도기관명감면기준구분명전체환자수(명)1분기환자수(명)1분기지원금액(원)2분기환자수(명)2분기지원금액(원)3분기환자수(명)3분기지원금액(원)4분기환자수(명)4분기지원금액(원)
422015경기권역장애인구강진료센터50% 지원38469148792748622539356953358044613434150610
432015경기권역장애인구강진료센터자체 지원39000000397095033
442014경기권역장애인구강진료센터10% 지원972992110930170982621618211725219
452014경기권역장애인구강진료센터30% 지원80521126671275200258024982411939781815314742485
462014경기권역장애인구강진료센터50% 지원2375315818416531107276570166867966122855127
472014경기권역장애인구강진료센터자체 지원12700000012716162971
482013경기권역장애인구강진료센터10% 지원110183758471836852941978554331484511
492013경기권역장애인구강진료센터30% 지원538956772755134123224741762388942413310292502
502013경기권역장애인구강진료센터50% 지원18522508271768230590504984112544610922500
512013경기권역장애인구강진료센터자체 지원1053813044360000676389656